From 6182f91ba8191a5905989e8d89882f1a1cbd3155 Mon Sep 17 00:00:00 2001
From: "Yang, Tong" <yangtong2@huawei.com>
Date: Fri, 9 Dec 2022 14:55:21 +0000
Subject: [PATCH] MRS component operation guide_normal 2.0.38.SP20 version

Reviewed-by: Hasko, Vladimir <vladimir.hasko@t-systems.com>
Co-authored-by: Yang, Tong <yangtong2@huawei.com>
Co-committed-by: Yang, Tong <yangtong2@huawei.com>
---
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 .../en-us_image_0000001438507709.png          |  Bin 0 -> 36624 bytes
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 .../en-us_image_0000001438712537.png          |  Bin 0 -> 172727 bytes
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 .../en-us_image_0000001438733129.png          |  Bin 0 -> 17987 bytes
 .../en-us_image_0000001438951649.png          |  Bin 0 -> 173943 bytes
 .../en-us_image_0000001438962057.png          |  Bin 0 -> 139613 bytes
 .../en-us_image_0000001439150893.png          |  Bin 0 -> 173943 bytes
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 .../en-us_image_0000001441210777.png          |  Bin 0 -> 909208 bytes
 .../en-us_topic_0000001351362309.html         |   41 +
 .../mrs_01_0102.html                          |   31 +
 .../mrs_01_0130.html                          |   33 +
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 .../mrs_01_0133.html                          |   82 +
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 .../mrs_01_0137.html                          |   81 +
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 .../mrs_01_0139.html                          |  150 +
 .../mrs_01_0141.html                          |   39 +
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 .../mrs_01_0156.html                          |   15 +
 .../mrs_01_0366.html                          |   29 +
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 .../mrs_01_0371.html                          |   40 +
 .../mrs_01_0372.html                          |   65 +
 .../mrs_01_0373.html                          |   79 +
 .../mrs_01_0374.html                          |   97 +
 .../mrs_01_0375.html                          |   53 +
 .../mrs_01_0376.html                          |   58 +
 .../mrs_01_0377.html                          |   18 +
 .../mrs_01_0378.html                          |   80 +
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 .../mrs_01_0380.html                          |   31 +
 .../mrs_01_0381.html                          |   35 +
 .../mrs_01_0382.html                          |   26 +
 .../mrs_01_0383.html                          |   25 +
 .../mrs_01_0384.html                          |   18 +
 .../mrs_01_0385.html                          |   17 +
 .../mrs_01_0386.html                          |   62 +
 .../mrs_01_0387.html                          |   62 +
 .../mrs_01_0388.html                          |   81 +
 .../mrs_01_0389.html                          |   19 +
 .../mrs_01_0390.html                          |   47 +
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 .../mrs_01_0392.html                          |   17 +
 .../mrs_01_0393.html                          |   42 +
 .../mrs_01_0394.html                          |   27 +
 .../mrs_01_0395.html                          |   23 +
 .../mrs_01_0396.html                          | 1116 +++
 .../mrs_01_0397.html                          |  165 +
 .../mrs_01_0400.html                          |   32 +
 .../mrs_01_0401.html                          |   25 +
 .../mrs_01_0402.html                          |  168 +
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 .../mrs_01_0404.html                          |  218 +
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 .../mrs_01_0433.html                          |   24 +
 .../mrs_01_0434.html                          |   33 +
 .../mrs_01_0435.html                          |   17 +
 .../mrs_01_0436.html                          |   13 +
 .../mrs_01_0437.html                          |   20 +
 .../mrs_01_0438.html                          |   89 +
 .../mrs_01_0439.html                          |   34 +
 .../mrs_01_0441.html                          |  274 +
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 .../mrs_01_0443.html                          |   48 +
 .../mrs_01_0471.html                          |   98 +
 .../mrs_01_0472.html                          |   54 +
 .../mrs_01_0473.html                          |  118 +
 .../mrs_01_0500.html                          |   47 +
 .../mrs_01_0501.html                          |  269 +
 .../mrs_01_0502.html                          |   34 +
 .../mrs_01_0510.html                          |   50 +
 .../mrs_01_0581.html                          |   71 +
 .../mrs_01_0582.html                          |   90 +
 .../mrs_01_0584.html                          |   21 +
 .../mrs_01_0585.html                          |   47 +
 .../mrs_01_0586.html                          |   41 +
 .../mrs_01_0587.html                          |   40 +
 .../mrs_01_0588.html                          |   48 +
 .../mrs_01_0589.html                          |   21 +
 .../mrs_01_0591.html                          |   29 +
 .../mrs_01_0592.html                          |   41 +
 .../mrs_01_0593.html                          |   19 +
 .../mrs_01_0594.html                          |   19 +
 .../mrs_01_0596.html                          |  117 +
 .../mrs_01_0597.html                          |   15 +
 .../mrs_01_0598.html                          |  163 +
 .../mrs_01_0599.html                          |   17 +
 .../mrs_01_0625.html                          |   52 +
 .../mrs_01_0635.html                          |   46 +
 .../mrs_01_0636.html                          |   18 +
 .../mrs_01_0756.html                          |   16 +
 .../mrs_01_0757.html                          |   75 +
 .../mrs_01_0759.html                          |   18 +
 .../mrs_01_0760.html                          |   59 +
 .../mrs_01_0761.html                          |   18 +
 .../mrs_01_0763.html                          |   14 +
 .../mrs_01_0764.html                          |   20 +
 .../mrs_01_0765.html                          |  120 +
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 .../mrs_01_0789.html                          |  193 +
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 .../mrs_01_0791.html                          |   45 +
 .../mrs_01_0794.html                          |  189 +
 .../mrs_01_0795.html                          |  699 ++
 .../mrs_01_0797.html                          |   18 +
 .../mrs_01_0799.html                          |  170 +
 .../mrs_01_0801.html                          |   27 +
 .../mrs_01_0804.html                          |   25 +
 .../mrs_01_0805.html                          |   37 +
 .../mrs_01_0806.html                          |   47 +
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 .../mrs_01_0808.html                          |   41 +
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 .../mrs_01_0811.html                          |   50 +
 .../mrs_01_0828.html                          |  237 +
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 .../mrs_01_0834.html                          |   27 +
 .../mrs_01_0836.html                          |   94 +
 .../mrs_01_0837.html                          |   42 +
 .../mrs_01_0838.html                          |   35 +
 .../mrs_01_0839.html                          |   59 +
 .../mrs_01_0840.html                          |   35 +
 .../mrs_01_0841.html                          |   43 +
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 .../mrs_01_0851.html                          |   49 +
 .../mrs_01_0852.html                          |  169 +
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 .../mrs_01_0968.html                          |   21 +
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 .../mrs_01_0970.html                          |   21 +
 .../mrs_01_0971.html                          |   21 +
 .../mrs_01_0972.html                          |   20 +
 .../mrs_01_0973.html                          |   17 +
 .../mrs_01_0974.html                          |   23 +
 .../mrs_01_0975.html                          |  162 +
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 .../mrs_01_0977.html                          |   25 +
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 .../mrs_01_0979.html                          |   72 +
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 .../mrs_01_0982.html                          |   80 +
 .../mrs_01_0983.html                          |   41 +
 .../mrs_01_1009.html                          |   37 +
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 .../mrs_01_1013.html                          |   25 +
 .../mrs_01_1016.html                          |  137 +
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 .../mrs_01_1020.html                          |   18 +
 .../mrs_01_1021.html                          |   81 +
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 .../mrs_01_1033.html                          |  229 +
 .../mrs_01_1035.html                          |  172 +
 .../mrs_01_1036.html                          |   22 +
 .../mrs_01_1037.html                          |  136 +
 .../mrs_01_1038.html                          |   38 +
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 .../mrs_01_1042.html                          |  190 +
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 .../mrs_01_1051.html                          |   29 +
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 .../mrs_01_1053.html                          |  365 +
 .../mrs_01_1054.html                          |   16 +
 .../mrs_01_1055.html                          |   77 +
 .../mrs_01_1056.html                          |  178 +
 .../mrs_01_1057.html                          | 1935 ++++
 .../mrs_01_1058.html                          |   33 +
 .../mrs_01_1059.html                          |   27 +
 .../mrs_01_1060.html                          |   73 +
 .../mrs_01_1061.html                          |   86 +
 .../mrs_01_1063.html                          |  110 +
 .../mrs_01_1064.html                          |  111 +
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 .../mrs_01_1066.html                          |  150 +
 .../mrs_01_1067.html                          |  225 +
 .../mrs_01_1068.html                          |   21 +
 .../mrs_01_1069.html                          |  302 +
 .../mrs_01_1070.html                          |  453 +
 .../mrs_01_1071.html                          |   25 +
 .../mrs_01_1072.html                          |  132 +
 .../mrs_01_1073.html                          |   17 +
 .../mrs_01_1074.html                          |   13 +
 .../mrs_01_1075.html                          |  350 +
 .../mrs_01_1081.html                          |  150 +
 .../mrs_01_1082.html                          |   28 +
 .../mrs_01_1083.html                          |   27 +
 .../mrs_01_1084.html                          |   55 +
 .../mrs_01_1165.html                          |  172 +
 .../mrs_01_1183.html                          |   18 +
 .../mrs_01_1400.html                          |   25 +
 .../mrs_01_1401.html                          |   18 +
 .../mrs_01_1402.html                          |   24 +
 .../mrs_01_1403.html                          |  105 +
 .../mrs_01_1404.html                          |  734 ++
 .../mrs_01_1405.html                          |   24 +
 .../mrs_01_1406.html                          |  116 +
 .../mrs_01_1407.html                          |   21 +
 .../mrs_01_1408.html                          |  101 +
 .../mrs_01_1409.html                          |   75 +
 .../mrs_01_1410.html                          |   22 +
 .../mrs_01_1411.html                          |   25 +
 .../mrs_01_1412.html                          |   19 +
 .../mrs_01_1413.html                          |   12 +
 .../mrs_01_1414.html                          |   54 +
 .../mrs_01_1415.html                          |  113 +
 .../mrs_01_1416.html                          |   42 +
 .../mrs_01_1417.html                          |   19 +
 .../mrs_01_1418.html                          |   61 +
 .../mrs_01_1419.html                          |  167 +
 .../mrs_01_1421.html                          |  222 +
 .../mrs_01_1422.html                          |  174 +
 .../mrs_01_1423.html                          |   24 +
 .../mrs_01_1424.html                          |   35 +
 .../mrs_01_1425.html                          |   99 +
 .../mrs_01_1426.html                          |   52 +
 .../mrs_01_1427.html                          |   41 +
 .../mrs_01_1428.html                          |   36 +
 .../mrs_01_1429.html                          |   80 +
 .../mrs_01_1430.html                          |   47 +
 .../mrs_01_1431.html                          |   48 +
 .../mrs_01_1432.html                          |   51 +
 .../mrs_01_1433.html                          |   56 +
 .../mrs_01_1434.html                          |   41 +
 .../mrs_01_1435.html                          |   57 +
 .../mrs_01_1437.html                          |   37 +
 .../mrs_01_1438.html                          |  208 +
 .../mrs_01_1439.html                          |   63 +
 .../mrs_01_1440.html                          |   44 +
 .../mrs_01_1441.html                          |   49 +
 .../mrs_01_1442.html                          |   47 +
 .../mrs_01_1443.html                          |   47 +
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 .../mrs_01_1448.html                          |   51 +
 .../mrs_01_1449.html                          |  125 +
 .../mrs_01_1450.html                          |   93 +
 .../mrs_01_1451.html                          |  900 ++
 .../mrs_01_1454.html                          |   18 +
 .../mrs_01_1455.html                          |   20 +
 .../mrs_01_1456.html                          |   21 +
 .../mrs_01_1457.html                          |   50 +
 .../mrs_01_1458.html                          |   31 +
 .../mrs_01_1459.html                          |   17 +
 .../mrs_01_1460.html                          |   15 +
 .../mrs_01_1461.html                          |   29 +
 .../mrs_01_1462.html                          |   15 +
 .../mrs_01_1463.html                          |   14 +
 .../mrs_01_1464.html                          |   19 +
 .../mrs_01_1465.html                          |   18 +
 .../mrs_01_1466.html                          |   14 +
 .../mrs_01_1467.html                          |   19 +
 .../mrs_01_1468.html                          |   22 +
 .../mrs_01_1469.html                          |   40 +
 .../mrs_01_1470.html                          |   15 +
 .../mrs_01_1471.html                          |   22 +
 .../mrs_01_1472.html                          |   16 +
 .../mrs_01_1473.html                          |   26 +
 .../mrs_01_1474.html                          |   24 +
 .../mrs_01_1565.html                          |   15 +
 .../mrs_01_1566.html                          |  471 +
 .../mrs_01_1567.html                          |   84 +
 .../mrs_01_1568.html                          |  305 +
 .../mrs_01_1569.html                          |  246 +
 .../mrs_01_1570.html                          |   82 +
 .../mrs_01_1571.html                          |  344 +
 .../mrs_01_1572.html                          |   47 +
 .../mrs_01_1573.html                          |  102 +
 .../mrs_01_1574.html                          |   55 +
 .../mrs_01_1575.html                          |  142 +
 .../mrs_01_1576.html                          |   37 +
 .../mrs_01_1577.html                          |   73 +
 .../mrs_01_1578.html                          |   65 +
 .../mrs_01_1579.html                          |   14 +
 .../mrs_01_1580.html                          |   45 +
 .../mrs_01_1581.html                          |   19 +
 .../mrs_01_1583.html                          |  388 +
 .../mrs_01_1584.html                          |   14 +
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 .../mrs_01_1586.html                          |   11 +
 .../mrs_01_1587.html                          |   29 +
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diff --git a/docs/mrs/component-operation-guide/ALL_META.TXT.json b/docs/mrs/component-operation-guide/ALL_META.TXT.json
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index 000000000..8613608ce
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+++ b/docs/mrs/component-operation-guide/ALL_META.TXT.json
@@ -0,0 +1,8052 @@
+[
+	{
+		"uri":"mrs_01_0756.html",
+		"product_code":"mrs",
+		"code":"1",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using Alluxio",
+		"title":"Using Alluxio",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0759.html",
+		"product_code":"mrs",
+		"code":"2",
+		"des":"If you want to use a unified client API and a global namespace to access persistent storage systems including HDFS and OBS to separate computing from storage, you can con",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring an Underlying Storage System,Using Alluxio,Component Operation Guide (Normal)",
+		"title":"Configuring an Underlying Storage System",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0760.html",
+		"product_code":"mrs",
+		"code":"3",
+		"des":"The port number used for accessing the Alluxio file system is 19998, and the access address is alluxio://<Master node IP address of Alluxio>:19998/<PATH>. This section us",
+		"doc_type":"cmpntguide",
+		"kw":"Accessing Alluxio Using a Data Application,Using Alluxio,Component Operation Guide (Normal)",
+		"title":"Accessing Alluxio Using a Data Application",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0757.html",
+		"product_code":"mrs",
+		"code":"4",
+		"des":"Create a cluster with Alluxio installed.Log in to the active Master node in a cluster as user root using the password set during cluster creation.Run the following comman",
+		"doc_type":"cmpntguide",
+		"kw":"Common Operations of Alluxio,Using Alluxio,Component Operation Guide (Normal)",
+		"title":"Common Operations of Alluxio",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0385.html",
+		"product_code":"mrs",
+		"code":"5",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using CarbonData (for Versions Earlier Than MRS 3.x)",
+		"title":"Using CarbonData (for Versions Earlier Than MRS 3.x)",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0386.html",
+		"product_code":"mrs",
+		"code":"6",
+		"des":"This section is for MRS 3.x or earlier. For MRS 3.x or later, see Using CarbonData (for MRS 3.x or Later).This section describes the procedure of using Spark CarbonData. ",
+		"doc_type":"cmpntguide",
+		"kw":"Using CarbonData from Scratch,Using CarbonData (for Versions Earlier Than MRS 3.x),Component Operati",
+		"title":"Using CarbonData from Scratch",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0387.html",
+		"product_code":"mrs",
+		"code":"7",
+		"des":"CarbonData tables are similar to tables in the relational database management system (RDBMS). RDBMS tables consist of rows and columns to store data. CarbonData tables ha",
+		"doc_type":"cmpntguide",
+		"kw":"About CarbonData Table,Using CarbonData (for Versions Earlier Than MRS 3.x),Component Operation Guid",
+		"title":"About CarbonData Table",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0388.html",
+		"product_code":"mrs",
+		"code":"8",
+		"des":"A CarbonData table must be created to load and query data.Users can create a table by specifying its columns and data types. For analysis clusters with Kerberos authentic",
+		"doc_type":"cmpntguide",
+		"kw":"Creating a CarbonData Table,Using CarbonData (for Versions Earlier Than MRS 3.x),Component Operation",
+		"title":"Creating a CarbonData Table",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0389.html",
+		"product_code":"mrs",
+		"code":"9",
+		"des":"Unused CarbonData tables can be deleted. After a CarbonData table is deleted, its metadata and loaded data are deleted together.DROP TABLE [IF EXISTS] [db_name.]table_nam",
+		"doc_type":"cmpntguide",
+		"kw":"Deleting a CarbonData Table,Using CarbonData (for Versions Earlier Than MRS 3.x),Component Operation",
+		"title":"Deleting a CarbonData Table",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1400.html",
+		"product_code":"mrs",
+		"code":"10",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using CarbonData (for MRS 3.x or Later)",
+		"title":"Using CarbonData (for MRS 3.x or Later)",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1401.html",
+		"product_code":"mrs",
+		"code":"11",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Overview",
+		"title":"Overview",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1402.html",
+		"product_code":"mrs",
+		"code":"12",
+		"des":"CarbonData is a new Apache Hadoop native data-store format. CarbonData allows faster interactive queries over PetaBytes of data using advanced columnar storage, index, co",
+		"doc_type":"cmpntguide",
+		"kw":"CarbonData Overview,Overview,Component Operation Guide (Normal)",
+		"title":"CarbonData Overview",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1403.html",
+		"product_code":"mrs",
+		"code":"13",
+		"des":"The memory required for data loading depends on the following factors:Number of columnsColumn valuesConcurrency (configured using carbon.number.of.cores.while.loading)Sor",
+		"doc_type":"cmpntguide",
+		"kw":"Main Specifications of CarbonData,Overview,Component Operation Guide (Normal)",
+		"title":"Main Specifications of CarbonData",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1404.html",
+		"product_code":"mrs",
+		"code":"14",
+		"des":"This section provides the details of all the configurations required for the CarbonData System.Configure the following parameters in the spark-defaults.conf file on the S",
+		"doc_type":"cmpntguide",
+		"kw":"limit,limit,Configuration Reference,Using CarbonData (for MRS 3.x or Later),Component Operation Guid",
+		"title":"Configuration Reference",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1405.html",
+		"product_code":"mrs",
+		"code":"15",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"CarbonData Operation Guide",
+		"title":"CarbonData Operation Guide",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1406.html",
+		"product_code":"mrs",
+		"code":"16",
+		"des":"This section describes how to create CarbonData tables, load data, and query data. This quick start provides operations based on the Spark Beeline client. If you want to ",
+		"doc_type":"cmpntguide",
+		"kw":"CarbonData Quick Start,CarbonData Operation Guide,Component Operation Guide (Normal)",
+		"title":"CarbonData Quick Start",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1407.html",
+		"product_code":"mrs",
+		"code":"17",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"CarbonData Table Management",
+		"title":"CarbonData Table Management",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1408.html",
+		"product_code":"mrs",
+		"code":"18",
+		"des":"In CarbonData, data is stored in entities called tables. CarbonData tables are similar to RDBMS tables. RDBMS data is stored in a table consisting of rows and columns. Ca",
+		"doc_type":"cmpntguide",
+		"kw":"About CarbonData Table,CarbonData Table Management,Component Operation Guide (Normal)",
+		"title":"About CarbonData Table",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1409.html",
+		"product_code":"mrs",
+		"code":"19",
+		"des":"A CarbonData table must be created to load and query data. You can run the Create Table command to create a table. This command is used to create a table using custom col",
+		"doc_type":"cmpntguide",
+		"kw":"Creating a CarbonData Table,CarbonData Table Management,Component Operation Guide (Normal)",
+		"title":"Creating a CarbonData Table",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1410.html",
+		"product_code":"mrs",
+		"code":"20",
+		"des":"You can run the DROP TABLE command to delete a table. After a CarbonData table is deleted, its metadata and loaded data are deleted together.Run the following command to ",
+		"doc_type":"cmpntguide",
+		"kw":"Deleting a CarbonData Table,CarbonData Table Management,Component Operation Guide (Normal)",
+		"title":"Deleting a CarbonData Table",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1411.html",
+		"product_code":"mrs",
+		"code":"21",
+		"des":"When the SET command is executed, the new properties overwrite the existing ones.SORT SCOPEThe following is an example of the SET SORT SCOPE command:ALTER TABLE tablename",
+		"doc_type":"cmpntguide",
+		"kw":"Modify the CarbonData Table,CarbonData Table Management,Component Operation Guide (Normal)",
+		"title":"Modify the CarbonData Table",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1412.html",
+		"product_code":"mrs",
+		"code":"22",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"CarbonData Table Data Management",
+		"title":"CarbonData Table Data Management",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1413.html",
+		"product_code":"mrs",
+		"code":"23",
+		"des":"After a CarbonData table is created, you can run the LOAD DATA command to load data to the table for query. Once data loading is triggered, data is encoded in CarbonData ",
+		"doc_type":"cmpntguide",
+		"kw":"Loading Data,CarbonData Table Data Management,Component Operation Guide (Normal)",
+		"title":"Loading Data",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1414.html",
+		"product_code":"mrs",
+		"code":"24",
+		"des":"If you want to modify and reload the data because you have loaded wrong data into a table, or there are too many bad records, you can delete specific segments by segment ",
+		"doc_type":"cmpntguide",
+		"kw":"Deleting Segments,CarbonData Table Data Management,Component Operation Guide (Normal)",
+		"title":"Deleting Segments",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1415.html",
+		"product_code":"mrs",
+		"code":"25",
+		"des":"Frequent data access results in a large number of fragmented CarbonData files in the storage directory. In each data loading, data is sorted and indexing is performed. Th",
+		"doc_type":"cmpntguide",
+		"kw":"Combining Segments,CarbonData Table Data Management,Component Operation Guide (Normal)",
+		"title":"Combining Segments",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1416.html",
+		"product_code":"mrs",
+		"code":"26",
+		"des":"If you want to rapidly migrate CarbonData data from a cluster to another one, you can use the CarbonData backup and restoration commands. This method does not require dat",
+		"doc_type":"cmpntguide",
+		"kw":"CarbonData Data Migration,CarbonData Operation Guide,Component Operation Guide (Normal)",
+		"title":"CarbonData Data Migration",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2301.html",
+		"product_code":"mrs",
+		"code":"27",
+		"des":"This migration guides you to migrate the CarbonData table data of Spark 1.5 to that of Spark2x.Before performing this operation, you need to stop the data import service ",
+		"doc_type":"cmpntguide",
+		"kw":"Migrating Data on CarbonData from Spark 1.5 to Spark2x,CarbonData Operation Guide,Component Operatio",
+		"title":"Migrating Data on CarbonData from Spark 1.5 to Spark2x",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1417.html",
+		"product_code":"mrs",
+		"code":"28",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"CarbonData Performance Tuning",
+		"title":"CarbonData Performance Tuning",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1418.html",
+		"product_code":"mrs",
+		"code":"29",
+		"des":"There are various parameters that can be tuned to improve the query performance in CarbonData. Most of the parameters focus on increasing the parallelism in processing an",
+		"doc_type":"cmpntguide",
+		"kw":"Tuning Guidelines,CarbonData Performance Tuning,Component Operation Guide (Normal)",
+		"title":"Tuning Guidelines",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1419.html",
+		"product_code":"mrs",
+		"code":"30",
+		"des":"This section provides suggestions based on more than 50 test cases to help you create CarbonData tables with higher query performance.If the to-be-created table contains ",
+		"doc_type":"cmpntguide",
+		"kw":"Suggestions for Creating CarbonData Tables,CarbonData Performance Tuning,Component Operation Guide (",
+		"title":"Suggestions for Creating CarbonData Tables",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1421.html",
+		"product_code":"mrs",
+		"code":"31",
+		"des":"This section describes the configurations that can improve CarbonData performance.Table 1 and Table 2 describe the configurations about query of CarbonData.Table 3, Table",
+		"doc_type":"cmpntguide",
+		"kw":"Configurations for Performance Tuning,CarbonData Performance Tuning,Component Operation Guide (Norma",
+		"title":"Configurations for Performance Tuning",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1422.html",
+		"product_code":"mrs",
+		"code":"32",
+		"des":"The following table provides details about Hive ACL permissions required for performing operations on CarbonData tables.Parameters listed in Table 5 or Table 6 have been ",
+		"doc_type":"cmpntguide",
+		"kw":"CarbonData Access Control,Using CarbonData (for MRS 3.x or Later),Component Operation Guide (Normal)",
+		"title":"CarbonData Access Control",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1423.html",
+		"product_code":"mrs",
+		"code":"33",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"CarbonData Syntax Reference",
+		"title":"CarbonData Syntax Reference",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1424.html",
+		"product_code":"mrs",
+		"code":"34",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"DDL",
+		"title":"DDL",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1425.html",
+		"product_code":"mrs",
+		"code":"35",
+		"des":"This command is used to create a CarbonData table by specifying the list of fields along with the table properties.CREATE TABLE [IF NOT EXISTS] [db_name.]table_name[(col_",
+		"doc_type":"cmpntguide",
+		"kw":"CREATE TABLE,DDL,Component Operation Guide (Normal)",
+		"title":"CREATE TABLE",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1426.html",
+		"product_code":"mrs",
+		"code":"36",
+		"des":"This command is used to create a CarbonData table by specifying the list of fields along with the table properties.CREATE TABLE[IF NOT EXISTS] [db_name.]table_name STORED",
+		"doc_type":"cmpntguide",
+		"kw":"CREATE TABLE As SELECT,DDL,Component Operation Guide (Normal)",
+		"title":"CREATE TABLE As SELECT",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1427.html",
+		"product_code":"mrs",
+		"code":"37",
+		"des":"This command is used to delete an existing table.DROP TABLE [IF EXISTS] [db_name.]table_name;In this command, IF EXISTS and db_name are optional.DROP TABLE IF EXISTS prod",
+		"doc_type":"cmpntguide",
+		"kw":"DROP TABLE,DDL,Component Operation Guide (Normal)",
+		"title":"DROP TABLE",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1428.html",
+		"product_code":"mrs",
+		"code":"38",
+		"des":"SHOW TABLES command is used to list all tables in the current or a specific database.SHOW TABLES [IN db_name];IN db_Name is optional.SHOW TABLES IN ProductDatabase;All ta",
+		"doc_type":"cmpntguide",
+		"kw":"SHOW TABLES,DDL,Component Operation Guide (Normal)",
+		"title":"SHOW TABLES",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1429.html",
+		"product_code":"mrs",
+		"code":"39",
+		"des":"The ALTER TABLE COMPACTION command is used to merge a specified number of segments into a single segment. This improves the query performance of a table.ALTER TABLE[db_na",
+		"doc_type":"cmpntguide",
+		"kw":"ALTER TABLE COMPACTION,DDL,Component Operation Guide (Normal)",
+		"title":"ALTER TABLE COMPACTION",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1430.html",
+		"product_code":"mrs",
+		"code":"40",
+		"des":"This command is used to rename an existing table.ALTER TABLE [db_name.]table_name RENAME TO new_table_name;Parallel queries (using table names to obtain paths for reading",
+		"doc_type":"cmpntguide",
+		"kw":"TABLE RENAME,DDL,Component Operation Guide (Normal)",
+		"title":"TABLE RENAME",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1431.html",
+		"product_code":"mrs",
+		"code":"41",
+		"des":"This command is used to add a column to an existing table.ALTER TABLE [db_name.]table_name ADD COLUMNS (col_name data_type,...) TBLPROPERTIES(''COLUMNPROPERTIES.columnNam",
+		"doc_type":"cmpntguide",
+		"kw":"ADD COLUMNS,DDL,Component Operation Guide (Normal)",
+		"title":"ADD COLUMNS",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1432.html",
+		"product_code":"mrs",
+		"code":"42",
+		"des":"This command is used to delete one or more columns from a table.ALTER TABLE [db_name.]table_name DROP COLUMNS (col_name, ...);After a column is deleted, at least one key ",
+		"doc_type":"cmpntguide",
+		"kw":"DROP COLUMNS,DDL,Component Operation Guide (Normal)",
+		"title":"DROP COLUMNS",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1433.html",
+		"product_code":"mrs",
+		"code":"43",
+		"des":"This command is used to change the data type from INT to BIGINT or decimal precision from lower to higher.ALTER TABLE [db_name.]table_name CHANGE col_name col_name change",
+		"doc_type":"cmpntguide",
+		"kw":"CHANGE DATA TYPE,DDL,Component Operation Guide (Normal)",
+		"title":"CHANGE DATA TYPE",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1434.html",
+		"product_code":"mrs",
+		"code":"44",
+		"des":"This command is used to register Carbon table to Hive meta store catalogue from exisiting Carbon table data.REFRESH TABLE db_name.table_name;The new database name and the",
+		"doc_type":"cmpntguide",
+		"kw":"REFRESH TABLE,DDL,Component Operation Guide (Normal)",
+		"title":"REFRESH TABLE",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1435.html",
+		"product_code":"mrs",
+		"code":"45",
+		"des":"This command is used to register an index table with the primary table.REGISTER INDEX TABLE indextable_name ON db_name.maintable_name;Before running this command, run REF",
+		"doc_type":"cmpntguide",
+		"kw":"REGISTER INDEX TABLE,DDL,Component Operation Guide (Normal)",
+		"title":"REGISTER INDEX TABLE",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1437.html",
+		"product_code":"mrs",
+		"code":"46",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"DML",
+		"title":"DML",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1438.html",
+		"product_code":"mrs",
+		"code":"47",
+		"des":"This command is used to load user data of a particular type, so that CarbonData can provide good query performance.Only the raw data on HDFS can be loaded.LOAD DATA INPAT",
+		"doc_type":"cmpntguide",
+		"kw":"LOAD DATA,DML,Component Operation Guide (Normal)",
+		"title":"LOAD DATA",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1439.html",
+		"product_code":"mrs",
+		"code":"48",
+		"des":"This command is used to update the CarbonData table based on the column expression and optional filtering conditions.Syntax 1:UPDATE <CARBON TABLE> SET (column_name1, col",
+		"doc_type":"cmpntguide",
+		"kw":"UPDATE CARBON TABLE,DML,Component Operation Guide (Normal)",
+		"title":"UPDATE CARBON TABLE",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1440.html",
+		"product_code":"mrs",
+		"code":"49",
+		"des":"This command is used to delete records from a CarbonData table.DELETE FROM CARBON_TABLE [WHERE expression];If a segment is deleted, all secondary indexes associated with ",
+		"doc_type":"cmpntguide",
+		"kw":"DELETE RECORDS from CARBON TABLE,DML,Component Operation Guide (Normal)",
+		"title":"DELETE RECORDS from CARBON TABLE",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1441.html",
+		"product_code":"mrs",
+		"code":"50",
+		"des":"This command is used to add the output of the SELECT command to a Carbon table.INSERT INTO [CARBON TABLE] [select query];A table has been created.You must belong to the d",
+		"doc_type":"cmpntguide",
+		"kw":"INSERT INTO CARBON TABLE,DML,Component Operation Guide (Normal)",
+		"title":"INSERT INTO CARBON TABLE",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1442.html",
+		"product_code":"mrs",
+		"code":"51",
+		"des":"This command is used to delete segments by the ID.DELETE FROM TABLE db_name.table_name WHERE SEGMENT.ID IN (segment_id1,segment_id2);Segments cannot be deleted from the s",
+		"doc_type":"cmpntguide",
+		"kw":"DELETE SEGMENT by ID,DML,Component Operation Guide (Normal)",
+		"title":"DELETE SEGMENT by ID",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1443.html",
+		"product_code":"mrs",
+		"code":"52",
+		"des":"This command is used to delete segments by loading date. Segments created before a specific date will be deleted.DELETE FROM TABLE db_name.table_name WHERE SEGMENT.STARTT",
+		"doc_type":"cmpntguide",
+		"kw":"DELETE SEGMENT by DATE,DML,Component Operation Guide (Normal)",
+		"title":"DELETE SEGMENT by DATE",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1444.html",
+		"product_code":"mrs",
+		"code":"53",
+		"des":"This command is used to list the segments of a CarbonData table.SHOW SEGMENTS FOR TABLE [db_name.]table_name LIMIT number_of_loads;Nonecreate tablecarbon01(a int,b string",
+		"doc_type":"cmpntguide",
+		"kw":"SHOW SEGMENTS,DML,Component Operation Guide (Normal)",
+		"title":"SHOW SEGMENTS",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1445.html",
+		"product_code":"mrs",
+		"code":"54",
+		"des":"This command is used to create secondary indexes in the CarbonData tables.CREATE INDEX index_nameON TABLE [db_name.]table_name (col_name1, col_name2)AS 'carbondata'PROPER",
+		"doc_type":"cmpntguide",
+		"kw":"CREATE SECONDARY INDEX,DML,Component Operation Guide (Normal)",
+		"title":"CREATE SECONDARY INDEX",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1446.html",
+		"product_code":"mrs",
+		"code":"55",
+		"des":"This command is used to list all secondary index tables in the CarbonData table.SHOW INDEXES ON db_name.table_name;db_name is optional.create table productdb.productSales",
+		"doc_type":"cmpntguide",
+		"kw":"SHOW SECONDARY INDEXES,DML,Component Operation Guide (Normal)",
+		"title":"SHOW SECONDARY INDEXES",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1447.html",
+		"product_code":"mrs",
+		"code":"56",
+		"des":"This command is used to delete the existing secondary index table in a specific table.DROP INDEX [IF EXISTS] index_nameON [db_name.]table_name;In this command, IF EXISTS ",
+		"doc_type":"cmpntguide",
+		"kw":"DROP SECONDARY INDEX,DML,Component Operation Guide (Normal)",
+		"title":"DROP SECONDARY INDEX",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1448.html",
+		"product_code":"mrs",
+		"code":"57",
+		"des":"After the DELETE SEGMENT command is executed, the deleted segments are marked as the delete state. After the segments are merged, the status of the original segments chan",
+		"doc_type":"cmpntguide",
+		"kw":"CLEAN FILES,DML,Component Operation Guide (Normal)",
+		"title":"CLEAN FILES",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1449.html",
+		"product_code":"mrs",
+		"code":"58",
+		"des":"This command is used to dynamically add, update, display, or reset the CarbonData properties without restarting the driver.Add or Update parameter value:SET parameter_nam",
+		"doc_type":"cmpntguide",
+		"kw":"SET/RESET,DML,Component Operation Guide (Normal)",
+		"title":"SET/RESET",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24046.html",
+		"product_code":"mrs",
+		"code":"59",
+		"des":"Before performing DDL and DML operations, you need to obtain the corresponding locks. See Table 1 for details about the locks that need to be obtained for each operation.",
+		"doc_type":"cmpntguide",
+		"kw":"Operation Concurrent Execution,CarbonData Syntax Reference,Component Operation Guide (Normal)",
+		"title":"Operation Concurrent Execution",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1450.html",
+		"product_code":"mrs",
+		"code":"60",
+		"des":"This section describes the APIs and usage methods of Segment. All methods are in the org.apache.spark.util.CarbonSegmentUtil class.The following methods have been abandon",
+		"doc_type":"cmpntguide",
+		"kw":"API,CarbonData Syntax Reference,Component Operation Guide (Normal)",
+		"title":"API",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1451.html",
+		"product_code":"mrs",
+		"code":"61",
+		"des":"Spatial data includes multidimensional points, lines, rectangles, cubes, polygons, and other geometric objects. A spatial data object occupies a certain region of space, ",
+		"doc_type":"cmpntguide",
+		"kw":"Spatial Indexes,CarbonData Syntax Reference,Component Operation Guide (Normal)",
+		"title":"Spatial Indexes",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1454.html",
+		"product_code":"mrs",
+		"code":"62",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"CarbonData Troubleshooting",
+		"title":"CarbonData Troubleshooting",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1455.html",
+		"product_code":"mrs",
+		"code":"63",
+		"des":"When double data type values with higher precision are used in filters, incorrect values are returned by filtering results.When double data type values with higher precis",
+		"doc_type":"cmpntguide",
+		"kw":"Filter Result Is not Consistent with Hive when a Big Double Type Value Is Used in Filter,CarbonData ",
+		"title":"Filter Result Is not Consistent with Hive when a Big Double Type Value Is Used in Filter",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1456.html",
+		"product_code":"mrs",
+		"code":"64",
+		"des":"The query performance fluctuates when the query is executed in different query periods.During data loading, the memory configured for each executor program instance may b",
+		"doc_type":"cmpntguide",
+		"kw":"Query Performance Deterioration,CarbonData Troubleshooting,Component Operation Guide (Normal)",
+		"title":"Query Performance Deterioration",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1457.html",
+		"product_code":"mrs",
+		"code":"65",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"CarbonData FAQ",
+		"title":"CarbonData FAQ",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1458.html",
+		"product_code":"mrs",
+		"code":"66",
+		"des":"Why is incorrect output displayed when I perform query with filter on decimal data type values?For example:select * from carbon_table where num = 1234567890123456.22;Outp",
+		"doc_type":"cmpntguide",
+		"kw":"Why Is Incorrect Output Displayed When I Perform Query with Filter on Decimal Data Type Values?,Carb",
+		"title":"Why Is Incorrect Output Displayed When I Perform Query with Filter on Decimal Data Type Values?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1459.html",
+		"product_code":"mrs",
+		"code":"67",
+		"des":"How to avoid minor compaction for historical data?If you want to load historical data first and then the incremental data, perform following steps to avoid minor compacti",
+		"doc_type":"cmpntguide",
+		"kw":"How to Avoid Minor Compaction for Historical Data?,CarbonData FAQ,Component Operation Guide (Normal)",
+		"title":"How to Avoid Minor Compaction for Historical Data?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1460.html",
+		"product_code":"mrs",
+		"code":"68",
+		"des":"How to change the default group name for CarbonData data loading?By default, the group name for CarbonData data loading is ficommon. You can perform the following operati",
+		"doc_type":"cmpntguide",
+		"kw":"How to Change the Default Group Name for CarbonData Data Loading?,CarbonData FAQ,Component Operation",
+		"title":"How to Change the Default Group Name for CarbonData Data Loading?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1461.html",
+		"product_code":"mrs",
+		"code":"69",
+		"des":"Why does the INSERT INTO CARBON TABLE command fail and the following error message is displayed?The INSERT INTO CARBON TABLE command fails in the following scenarios:If t",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does INSERT INTO CARBON TABLE Command Fail?,CarbonData FAQ,Component Operation Guide (Normal)",
+		"title":"Why Does INSERT INTO CARBON TABLE Command Fail?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1462.html",
+		"product_code":"mrs",
+		"code":"70",
+		"des":"Why is the data logged in bad records different from the original input data with escaped characters?An escape character is a backslash (\\) followed by one or more charac",
+		"doc_type":"cmpntguide",
+		"kw":"Why Is the Data Logged in Bad Records Different from the Original Input Data with Escape Characters?",
+		"title":"Why Is the Data Logged in Bad Records Different from the Original Input Data with Escape Characters?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1463.html",
+		"product_code":"mrs",
+		"code":"71",
+		"des":"Why data load performance decreases due to bad records?If bad records are present in the data and BAD_RECORDS_LOGGER_ENABLE is true or BAD_RECORDS_ACTION is redirect then",
+		"doc_type":"cmpntguide",
+		"kw":"Why Data Load Performance Decreases due to Bad Records?,CarbonData FAQ,Component Operation Guide (No",
+		"title":"Why Data Load Performance Decreases due to Bad Records?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1464.html",
+		"product_code":"mrs",
+		"code":"72",
+		"des":"Why INSERT INTO or LOAD DATA task distribution is incorrect, and the openedtasks  are less than the available executors when the number of initial executors is zero?In ca",
+		"doc_type":"cmpntguide",
+		"kw":"Why INSERT INTO/LOAD DATA Task Distribution Is Incorrect and the Opened Tasks Are Less Than the Avai",
+		"title":"Why INSERT INTO/LOAD DATA Task Distribution Is Incorrect and the Opened Tasks Are Less Than the Available Executors when the Number of Initial ExecutorsIs Zero?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1465.html",
+		"product_code":"mrs",
+		"code":"73",
+		"des":"Why does CarbonData require additional executors even though the parallelism is greater than the number of blocks to be processed?CarbonData block distribution optimizes ",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does CarbonData Require Additional Executors Even Though the Parallelism Is Greater Than the Num",
+		"title":"Why Does CarbonData Require Additional Executors Even Though the Parallelism Is Greater Than the Number of Blocks to Be Processed?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1466.html",
+		"product_code":"mrs",
+		"code":"74",
+		"des":"Why Data Loading fails during off heap?YARN Resource Manager will consider (Java heap memory + spark.yarn.am.memoryOverhead) as memory limit, so during the off heap, the ",
+		"doc_type":"cmpntguide",
+		"kw":"Why Data loading Fails During off heap?,CarbonData FAQ,Component Operation Guide (Normal)",
+		"title":"Why Data loading Fails During off heap?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1467.html",
+		"product_code":"mrs",
+		"code":"75",
+		"des":"Why do I fail to create a hive table?Creating a Hive table fails, when source table or sub query has more number of partitions. The implementation of the query requires a",
+		"doc_type":"cmpntguide",
+		"kw":"Why Do I Fail to Create a Hive Table?,CarbonData FAQ,Component Operation Guide (Normal)",
+		"title":"Why Do I Fail to Create a Hive Table?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1468.html",
+		"product_code":"mrs",
+		"code":"76",
+		"des":"Why CarbonData tables created in V100R002C50RC1 not reflecting the privileges provided in Hive Privileges for non-owner?The Hive ACL is implemented after the version V100",
+		"doc_type":"cmpntguide",
+		"kw":"Why CarbonData tables created in V100R002C50RC1 not reflecting the privileges provided in Hive Privi",
+		"title":"Why CarbonData tables created in V100R002C50RC1 not reflecting the privileges provided in Hive Privileges for non-owner?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1469.html",
+		"product_code":"mrs",
+		"code":"77",
+		"des":"How do I logically split data across different namespaces?Configuration:To logically split data across different namespaces, you must update the following configuration i",
+		"doc_type":"cmpntguide",
+		"kw":"How Do I Logically Split Data Across Different Namespaces?,CarbonData FAQ,Component Operation Guide ",
+		"title":"How Do I Logically Split Data Across Different Namespaces?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1470.html",
+		"product_code":"mrs",
+		"code":"78",
+		"des":"Why drop database cascade is throwing the following exception?This error is thrown when the owner of the database performs drop database <database_name> cascade which con",
+		"doc_type":"cmpntguide",
+		"kw":"Why Missing Privileges Exception is Reported When I Perform Drop Operation on Databases?,CarbonData ",
+		"title":"Why Missing Privileges Exception is Reported When I Perform Drop Operation on Databases?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1471.html",
+		"product_code":"mrs",
+		"code":"79",
+		"des":"Why the UPDATE command cannot be executed in Spark Shell?The syntax and examples provided in this document are about Beeline commands instead of Spark Shell commands.To r",
+		"doc_type":"cmpntguide",
+		"kw":"Why the UPDATE Command Cannot Be Executed in Spark Shell?,CarbonData FAQ,Component Operation Guide (",
+		"title":"Why the UPDATE Command Cannot Be Executed in Spark Shell?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1472.html",
+		"product_code":"mrs",
+		"code":"80",
+		"des":"How do I configure unsafe memory in CarbonData?In the Spark configuration, the value of spark.yarn.executor.memoryOverhead must be greater than the sum of (sort.inmemory.",
+		"doc_type":"cmpntguide",
+		"kw":"How Do I Configure Unsafe Memory in CarbonData?,CarbonData FAQ,Component Operation Guide (Normal)",
+		"title":"How Do I Configure Unsafe Memory in CarbonData?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1473.html",
+		"product_code":"mrs",
+		"code":"81",
+		"des":"Why exception occurs in CarbonData when Disk Space Quota is set for the storage directory in HDFS?The data will be written to HDFS when you during create table, load tabl",
+		"doc_type":"cmpntguide",
+		"kw":"Why Exception Occurs in CarbonData When Disk Space Quota is Set for Storage Directory in HDFS?,Carbo",
+		"title":"Why Exception Occurs in CarbonData When Disk Space Quota is Set for Storage Directory in HDFS?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1474.html",
+		"product_code":"mrs",
+		"code":"82",
+		"des":"Why does data query or loading fail and \"org.apache.carbondata.core.memory.MemoryException: Not enough memory\" is displayed?This exception is thrown when the out-of-heap ",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does Data Query or Loading Fail and \"org.apache.carbondata.core.memory.MemoryException: Not enou",
+		"title":"Why Does Data Query or Loading Fail and \"org.apache.carbondata.core.memory.MemoryException: Not enough memory\" Is Displayed?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24537.html",
+		"product_code":"",
+		"code":"83",
+		"des":"Why do files of a Carbon table exist in the recycle bin even if the drop table command is not executed when mis-deletion prevention is enabled?After the the mis-deletion ",
+		"doc_type":"",
+		"kw":"Why Do Files of a Carbon Table Exist in the Recycle Bin Even If the drop table Command Is Not Execut",
+		"title":"Why Do Files of a Carbon Table Exist in the Recycle Bin Even If the drop table Command Is Not Executed When Mis-deletion Prevention Is Enabled?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2344.html",
+		"product_code":"mrs",
+		"code":"84",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using ClickHouse",
+		"title":"Using ClickHouse",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2345.html",
+		"product_code":"mrs",
+		"code":"85",
+		"des":"ClickHouse is a column-based database oriented to online analysis and processing. It supports SQL query and provides good query performance. The aggregation analysis and ",
+		"doc_type":"cmpntguide",
+		"kw":"Using ClickHouse from Scratch,Using ClickHouse,Component Operation Guide (Normal)",
+		"title":"Using ClickHouse from Scratch",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24105.html",
+		"product_code":"mrs",
+		"code":"86",
+		"des":"Table engines play a key role in ClickHouse to determine:Where to write and read dataSupported query modesWhether concurrent data access is supportedWhether indexes can b",
+		"doc_type":"cmpntguide",
+		"kw":"ClickHouse Table Engine Overview,Using ClickHouse,Component Operation Guide (Normal)",
+		"title":"ClickHouse Table Engine Overview",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2398.html",
+		"product_code":"mrs",
+		"code":"87",
+		"des":"ClickHouse implements the replicated table mechanism based on the ReplicatedMergeTree engine and ZooKeeper. When creating a table, you can specify an engine to determine ",
+		"doc_type":"cmpntguide",
+		"kw":"Creating a ClickHouse Table,Using ClickHouse,Component Operation Guide (Normal)",
+		"title":"Creating a ClickHouse Table",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24199.html",
+		"product_code":"mrs",
+		"code":"88",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Common ClickHouse SQL Syntax",
+		"title":"Common ClickHouse SQL Syntax",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24200.html",
+		"product_code":"mrs",
+		"code":"89",
+		"des":"This section describes the basic syntax and usage of the SQL statement for creating a ClickHouse database.CREATE DATABASE [IF NOT EXISTS] Database_name [ON CLUSTERClickHo",
+		"doc_type":"cmpntguide",
+		"kw":"CREATE DATABASE: Creating a Database,Common ClickHouse SQL Syntax,Component Operation Guide (Normal)",
+		"title":"CREATE DATABASE: Creating a Database",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24201.html",
+		"product_code":"mrs",
+		"code":"90",
+		"des":"This section describes the basic syntax and usage of the SQL statement for creating a ClickHouse table.Method 1: Creating a table named table_name in the specified databa",
+		"doc_type":"cmpntguide",
+		"kw":"CREATE TABLE: Creating a Table,Common ClickHouse SQL Syntax,Component Operation Guide (Normal)",
+		"title":"CREATE TABLE: Creating a Table",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24202.html",
+		"product_code":"mrs",
+		"code":"91",
+		"des":"This section describes the basic syntax and usage of the SQL statement for inserting data to a table in ClickHouse.Method 1: Inserting data in standard formatINSERT INTO ",
+		"doc_type":"cmpntguide",
+		"kw":"INSERT INTO: Inserting Data into a Table,Common ClickHouse SQL Syntax,Component Operation Guide (Nor",
+		"title":"INSERT INTO: Inserting Data into a Table",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24203.html",
+		"product_code":"mrs",
+		"code":"92",
+		"des":"This section describes the basic syntax and usage of the SQL statement for querying table data in ClickHouse.SELECT [DISTINCT] expr_list[FROM[database_name.]table| (subqu",
+		"doc_type":"cmpntguide",
+		"kw":"SELECT: Querying Table Data,Common ClickHouse SQL Syntax,Component Operation Guide (Normal)",
+		"title":"SELECT: Querying Table Data",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24204.html",
+		"product_code":"mrs",
+		"code":"93",
+		"des":"This section describes the basic syntax and usage of the SQL statement for modifying a table structure in ClickHouse.ALTER TABLE [database_name].name[ON CLUSTER cluster] ",
+		"doc_type":"cmpntguide",
+		"kw":"ALTER TABLE: Modifying a Table Structure,Common ClickHouse SQL Syntax,Component Operation Guide (Nor",
+		"title":"ALTER TABLE: Modifying a Table Structure",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24205.html",
+		"product_code":"mrs",
+		"code":"94",
+		"des":"This section describes the basic syntax and usage of the SQL statement for querying a table structure in ClickHouse.DESC|DESCRIBETABLE[database_name.]table[INTOOUTFILE fi",
+		"doc_type":"cmpntguide",
+		"kw":"DESC: Querying a Table Structure,Common ClickHouse SQL Syntax,Component Operation Guide (Normal)",
+		"title":"DESC: Querying a Table Structure",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24208.html",
+		"product_code":"mrs",
+		"code":"95",
+		"des":"This section describes the basic syntax and usage of the SQL statement for deleting a ClickHouse table.DROP[TEMPORARY] TABLE[IF EXISTS] [database_name.]name[ON CLUSTER cl",
+		"doc_type":"cmpntguide",
+		"kw":"DROP: Deleting a Table,Common ClickHouse SQL Syntax,Component Operation Guide (Normal)",
+		"title":"DROP: Deleting a Table",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24207.html",
+		"product_code":"mrs",
+		"code":"96",
+		"des":"This section describes the basic syntax and usage of the SQL statement for displaying information about databases and tables in ClickHouse.show databasesshow tables",
+		"doc_type":"cmpntguide",
+		"kw":"SHOW: Displaying Information About Databases and Tables,Common ClickHouse SQL Syntax,Component Opera",
+		"title":"SHOW: Displaying Information About Databases and Tables",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24250.html",
+		"product_code":"mrs",
+		"code":"97",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Migrating ClickHouse Data",
+		"title":"Migrating ClickHouse Data",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24206.html",
+		"product_code":"mrs",
+		"code":"98",
+		"des":"This section describes the basic syntax and usage of the SQL statements for importing and exporting file data using ClickHouse.Importing data in CSV formatclickhouse clie",
+		"doc_type":"cmpntguide",
+		"kw":"Using ClickHouse to Import and Export Data,Migrating ClickHouse Data,Component Operation Guide (Norm",
+		"title":"Using ClickHouse to Import and Export Data",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24377.html",
+		"product_code":"",
+		"code":"99",
+		"des":"This section describes how to create a Kafka table to automatically synchronize Kafka data to the ClickHouse cluster.You have created a Kafka cluster. The Kafka client ha",
+		"doc_type":"",
+		"kw":"Synchronizing Kafka Data to ClickHouse,Migrating ClickHouse Data,Component Operation Guide (Normal)",
+		"title":"Synchronizing Kafka Data to ClickHouse",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24198.html",
+		"product_code":"mrs",
+		"code":"100",
+		"des":"The ClickHouse data migration tool can migrate some partitions of one or more partitioned MergeTree tables on several ClickHouseServer nodes to the same tables on other C",
+		"doc_type":"cmpntguide",
+		"kw":"Using the ClickHouse Data Migration Tool,Migrating ClickHouse Data,Component Operation Guide (Normal",
+		"title":"Using the ClickHouse Data Migration Tool",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24251.html",
+		"product_code":"mrs",
+		"code":"101",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"User Management and Authentication",
+		"title":"User Management and Authentication",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24057.html",
+		"product_code":"mrs",
+		"code":"102",
+		"des":"ClickHouse user permission management enables unified management of users, roles, and permissions on each ClickHouse instance in the cluster. You can use the permission m",
+		"doc_type":"cmpntguide",
+		"kw":"ClickHouse User and Permission Management,User Management and Authentication,Component Operation Gui",
+		"title":"ClickHouse User and Permission Management",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24109.html",
+		"product_code":"mrs",
+		"code":"103",
+		"des":"ClickHouse can be interconnected with OpenLDAP. You can manage accounts and permissions in a centralized manner by adding the OpenLDAP server configuration and creating u",
+		"doc_type":"cmpntguide",
+		"kw":"Interconnecting ClickHouse With OpenLDAP for Authentication,User Management and Authentication,Compo",
+		"title":"Interconnecting ClickHouse With OpenLDAP for Authentication",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24292.html",
+		"product_code":"",
+		"code":"104",
+		"des":"This section describes how to back up data by exporting ClickHouse data to a CSV file and restore data using the CSV file.You have installed the ClickHouse client.You hav",
+		"doc_type":"",
+		"kw":"Backing Up and Restoring ClickHouse Data Using a Data File,Using ClickHouse,Component Operation Guid",
+		"title":"Backing Up and Restoring ClickHouse Data Using a Data File",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2399.html",
+		"product_code":"mrs",
+		"code":"105",
+		"des":"Log path: The default storage path of ClickHouse log files is as follows: ${BIGDATA_LOG_HOME}/clickhouseLog archive rule: The automatic ClickHouse log compression functio",
+		"doc_type":"cmpntguide",
+		"kw":"ClickHouse Log Overview,Using ClickHouse,Component Operation Guide (Normal)",
+		"title":"ClickHouse Log Overview",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2356.html",
+		"product_code":"mrs",
+		"code":"106",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using DBService",
+		"title":"Using DBService",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0789.html",
+		"product_code":"mrs",
+		"code":"107",
+		"des":"Log path: The default storage path of DBService log files is /var/log/Bigdata/dbservice.GaussDB: /var/log/Bigdata/dbservice/DB (GaussDB run log directory), /var/log/Bigda",
+		"doc_type":"cmpntguide",
+		"kw":"DBService Log Overview,Using DBService,Component Operation Guide (Normal)",
+		"title":"DBService Log Overview",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0591.html",
+		"product_code":"mrs",
+		"code":"108",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using Flink",
+		"title":"Using Flink",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0473.html",
+		"product_code":"mrs",
+		"code":"109",
+		"des":"This section describes how to use Flink to run wordcount jobs.Flink has been installed in an MRS cluster.The cluster runs properly and the client has been correctly insta",
+		"doc_type":"cmpntguide",
+		"kw":"Using Flink from Scratch,Using Flink,Component Operation Guide (Normal)",
+		"title":"Using Flink from Scratch",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0784.html",
+		"product_code":"mrs",
+		"code":"110",
+		"des":"You can view Flink job information on the Yarn web UI.The Flink service has been installed in a cluster.For versions earlier than MRS 1.9.2, log in to MRS Manager and cho",
+		"doc_type":"cmpntguide",
+		"kw":"Viewing Flink Job Information,Using Flink,Component Operation Guide (Normal)",
+		"title":"Viewing Flink Job Information",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0592.html",
+		"product_code":"mrs",
+		"code":"111",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Flink Configuration Management",
+		"title":"Flink Configuration Management",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1565.html",
+		"product_code":"mrs",
+		"code":"112",
+		"des":"All parameters of Flink must be set on a client. The path of a configuration file is as follows: Client installation path/Flink/flink/conf/flink-conf.yaml.You are advised",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Parameter Paths,Flink Configuration Management,Component Operation Guide (Normal)",
+		"title":"Configuring Parameter Paths",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1566.html",
+		"product_code":"mrs",
+		"code":"113",
+		"des":"JobManager and TaskManager are main components of Flink. You can configure the parameters for different security and performance scenarios on the client.Main configuratio",
+		"doc_type":"cmpntguide",
+		"kw":"JobManager & TaskManager,Flink Configuration Management,Component Operation Guide (Normal)",
+		"title":"JobManager & TaskManager",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1567.html",
+		"product_code":"mrs",
+		"code":"114",
+		"des":"The Blob server on the JobManager node is used to receive JAR files uploaded by users on the client, send JAR files to TaskManager, and transfer log files. Flink provides",
+		"doc_type":"cmpntguide",
+		"kw":"Blob,Flink Configuration Management,Component Operation Guide (Normal)",
+		"title":"Blob",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1568.html",
+		"product_code":"mrs",
+		"code":"115",
+		"des":"The Akka actor model is the basis of communications between the Flink client and JobManager, JobManager and TaskManager, as well as TaskManager and TaskManager. Flink ena",
+		"doc_type":"cmpntguide",
+		"kw":"Distributed Coordination (via Akka),Flink Configuration Management,Component Operation Guide (Normal",
+		"title":"Distributed Coordination (via Akka)",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1569.html",
+		"product_code":"mrs",
+		"code":"116",
+		"des":"When the secure Flink cluster is required, SSL-related configuration items must be set.Configuration items include the SSL switch, certificate, password, and encryption a",
+		"doc_type":"cmpntguide",
+		"kw":"SSL,Flink Configuration Management,Component Operation Guide (Normal)",
+		"title":"SSL",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1570.html",
+		"product_code":"mrs",
+		"code":"117",
+		"des":"When Flink runs a job, data transmission and reverse pressure detection between tasks depend on Netty. In certain environments, Netty parameters should be configured.For ",
+		"doc_type":"cmpntguide",
+		"kw":"Network communication (via Netty),Flink Configuration Management,Component Operation Guide (Normal)",
+		"title":"Network communication (via Netty)",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1571.html",
+		"product_code":"mrs",
+		"code":"118",
+		"des":"When JobManager is started, the web server in the same process is also started.You can access the web server to obtain information about the current Flink cluster, includ",
+		"doc_type":"cmpntguide",
+		"kw":"JobManager Web Frontend,Flink Configuration Management,Component Operation Guide (Normal)",
+		"title":"JobManager Web Frontend",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1572.html",
+		"product_code":"mrs",
+		"code":"119",
+		"des":"Result files are created when tasks are running. Flink enables you to configure parameters for file creation.Configuration items include overwriting policy and directory ",
+		"doc_type":"cmpntguide",
+		"kw":"File Systems,Flink Configuration Management,Component Operation Guide (Normal)",
+		"title":"File Systems",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1573.html",
+		"product_code":"mrs",
+		"code":"120",
+		"des":"Flink enables HA and job exception, as well as job pause and recovery during version upgrade. Flink depends on state backend to store job states and on the restart strate",
+		"doc_type":"cmpntguide",
+		"kw":"State Backend,Flink Configuration Management,Component Operation Guide (Normal)",
+		"title":"State Backend",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1574.html",
+		"product_code":"mrs",
+		"code":"121",
+		"des":"Flink Kerberos configuration items must be configured in security mode.The configuration items include keytab and principal of Kerberos.",
+		"doc_type":"cmpntguide",
+		"kw":"Kerberos-based Security,Flink Configuration Management,Component Operation Guide (Normal)",
+		"title":"Kerberos-based Security",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1575.html",
+		"product_code":"mrs",
+		"code":"122",
+		"des":"The Flink HA mode depends on ZooKeeper. Therefore, ZooKeeper-related configuration items must be set.Configuration items include the ZooKeeper address, path, and security",
+		"doc_type":"cmpntguide",
+		"kw":"HA,Flink Configuration Management,Component Operation Guide (Normal)",
+		"title":"HA",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1576.html",
+		"product_code":"mrs",
+		"code":"123",
+		"des":"In scenarios raising special requirements on JVM configuration, users can use configuration items to transfer JVM parameters to the client, JobManager, and TaskManager.Co",
+		"doc_type":"cmpntguide",
+		"kw":"Environment,Flink Configuration Management,Component Operation Guide (Normal)",
+		"title":"Environment",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1577.html",
+		"product_code":"mrs",
+		"code":"124",
+		"des":"Flink runs on a Yarn cluster and JobManager runs on ApplicationMaster. Certain configuration parameters of JobManager depend on Yarn. By setting Yarn-related configuratio",
+		"doc_type":"cmpntguide",
+		"kw":"Yarn,Flink Configuration Management,Component Operation Guide (Normal)",
+		"title":"Yarn",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1578.html",
+		"product_code":"mrs",
+		"code":"125",
+		"des":"The Netty connection is used among multiple jobs to reduce latency. In this case, NettySink is used on the server and NettySource is used on the client for data transmiss",
+		"doc_type":"cmpntguide",
+		"kw":"Pipeline,Flink Configuration Management,Component Operation Guide (Normal)",
+		"title":"Pipeline",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0593.html",
+		"product_code":"mrs",
+		"code":"126",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Security Configuration",
+		"title":"Security Configuration",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1579.html",
+		"product_code":"mrs",
+		"code":"127",
+		"des":"All Flink cluster components support authentication.The Kerberos authentication is supported between Flink cluster components and external components, such as Yarn, HDFS,",
+		"doc_type":"cmpntguide",
+		"kw":"Security Features,Security Configuration,Component Operation Guide (Normal)",
+		"title":"Security Features",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1580.html",
+		"product_code":"mrs",
+		"code":"128",
+		"des":"Sample project data of Flink is stored in Kafka. A user with Kafka permission can send data to Kafka and receive data from it.Run Linux command line to create a topic. Be",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Kafka,Security Configuration,Component Operation Guide (Normal)",
+		"title":"Configuring Kafka",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1581.html",
+		"product_code":"mrs",
+		"code":"129",
+		"des":"This section applies to MRS 3.x or later clusters.Configure files.nettyconnector.registerserver.topic.storage: (Mandatory) Configures the path (on a third-party server) t",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Pipeline,Security Configuration,Component Operation Guide (Normal)",
+		"title":"Configuring Pipeline",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0594.html",
+		"product_code":"mrs",
+		"code":"130",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Security Hardening",
+		"title":"Security Hardening",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1583.html",
+		"product_code":"mrs",
+		"code":"131",
+		"des":"Flink uses the following three authentication modes:Kerberos authentication: It is used between the Flink Yarn client and Yarn ResourceManager, JobManager and ZooKeeper, ",
+		"doc_type":"cmpntguide",
+		"kw":"Authentication and Encryption,Security Hardening,Component Operation Guide (Normal)",
+		"title":"Authentication and Encryption",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1584.html",
+		"product_code":"mrs",
+		"code":"132",
+		"des":"In HA mode of Flink, ZooKeeper can be used to manage clusters and discover services. Zookeeper supports SASL ACL control. Only users who have passed the SASL (Kerberos) a",
+		"doc_type":"cmpntguide",
+		"kw":"ACL Control,Security Hardening,Component Operation Guide (Normal)",
+		"title":"ACL Control",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1585.html",
+		"product_code":"mrs",
+		"code":"133",
+		"des":"Note: The same coding mode is used on the web service client and server to prevent garbled characters and to enable input verification.Security hardening: apply UTF-8 to ",
+		"doc_type":"cmpntguide",
+		"kw":"Web Security,Security Hardening,Component Operation Guide (Normal)",
+		"title":"Web Security",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1586.html",
+		"product_code":"mrs",
+		"code":"134",
+		"des":"All security functions of Flink are provided by the open source community or self-developed. Security features that need to be configured by users, such as authentication",
+		"doc_type":"cmpntguide",
+		"kw":"Security Statement,Using Flink,Component Operation Guide (Normal)",
+		"title":"Security Statement",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24014.html",
+		"product_code":"mrs",
+		"code":"135",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using the Flink Web UI",
+		"title":"Using the Flink Web UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24015.html",
+		"product_code":"mrs",
+		"code":"136",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Overview",
+		"title":"Overview",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24016.html",
+		"product_code":"mrs",
+		"code":"137",
+		"des":"Flink web UI provides a web-based visual development platform. You only need to compile SQL statements to develop jobs, slashing the job development threshold. In additio",
+		"doc_type":"cmpntguide",
+		"kw":"Introduction to Flink Web UI,Overview,Component Operation Guide (Normal)",
+		"title":"Introduction to Flink Web UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24017.html",
+		"product_code":"mrs",
+		"code":"138",
+		"des":"The Flink web UI application process is shown as follows:",
+		"doc_type":"cmpntguide",
+		"kw":"Flink Web UI Application Process,Overview,Component Operation Guide (Normal)",
+		"title":"Flink Web UI Application Process",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24047.html",
+		"product_code":"mrs",
+		"code":"139",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"FlinkServer Permissions Management",
+		"title":"FlinkServer Permissions Management",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24048.html",
+		"product_code":"mrs",
+		"code":"140",
+		"des":"User admin of Manager does not have the FlinkServer service operation permission. To perform FlinkServer service operations, you need to grant related permission to the u",
+		"doc_type":"cmpntguide",
+		"kw":"Overview,FlinkServer Permissions Management,Component Operation Guide (Normal)",
+		"title":"Overview",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24049.html",
+		"product_code":"mrs",
+		"code":"141",
+		"des":"This section describes how to create and configure a FlinkServer role on Manager as the system administrator. A FlinkServer role can be configured with FlinkServer admini",
+		"doc_type":"cmpntguide",
+		"kw":"Authentication Based on Users and Roles,FlinkServer Permissions Management,Component Operation Guide",
+		"title":"Authentication Based on Users and Roles",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24019.html",
+		"product_code":"mrs",
+		"code":"142",
+		"des":"After Flink is installed in an MRS cluster, you can connect to clusters and data as well as manage stream tables and jobs using the Flink web UI.This section describes ho",
+		"doc_type":"cmpntguide",
+		"kw":"Accessing the Flink Web UI,Using the Flink Web UI,Component Operation Guide (Normal)",
+		"title":"Accessing the Flink Web UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24020.html",
+		"product_code":"mrs",
+		"code":"143",
+		"des":"Applications can be used to isolate different upper-layer services.After the application is created, you can switch to the application to be operated in the upper left co",
+		"doc_type":"cmpntguide",
+		"kw":"Creating an Application on the Flink Web UI,Using the Flink Web UI,Component Operation Guide (Normal",
+		"title":"Creating an Application on the Flink Web UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24021.html",
+		"product_code":"mrs",
+		"code":"144",
+		"des":"Different clusters can be accessed by configuring the cluster connection.To obtain the cluster client configuration files, perform the following steps:Log in to FusionIns",
+		"doc_type":"cmpntguide",
+		"kw":"Creating a Cluster Connection on the Flink Web UI,Using the Flink Web UI,Component Operation Guide (",
+		"title":"Creating a Cluster Connection on the Flink Web UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24022.html",
+		"product_code":"mrs",
+		"code":"145",
+		"des":"You can use data connections to access different data services. Currently, FlinkServer supports HDFS and Kafka data connections.",
+		"doc_type":"cmpntguide",
+		"kw":"Creating a Data Connection on the Flink Web UI,Using the Flink Web UI,Component Operation Guide (Nor",
+		"title":"Creating a Data Connection on the Flink Web UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24023.html",
+		"product_code":"mrs",
+		"code":"146",
+		"des":"Data tables can be used to define basic attributes and parameters of source tables, dimension tables, and output tables.",
+		"doc_type":"cmpntguide",
+		"kw":"Managing Tables on the Flink Web UI,Using the Flink Web UI,Component Operation Guide (Normal)",
+		"title":"Managing Tables on the Flink Web UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24024.html",
+		"product_code":"mrs",
+		"code":"147",
+		"des":"Define Flink jobs, including Flink SQL and Flink JAR jobs.Creating a Flink SQL jobDevelop the job on the job development page.Click Check Semantic to check the input cont",
+		"doc_type":"cmpntguide",
+		"kw":"Managing Jobs on the Flink Web UI,Using the Flink Web UI,Component Operation Guide (Normal)",
+		"title":"Managing Jobs on the Flink Web UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0596.html",
+		"product_code":"mrs",
+		"code":"148",
+		"des":"Log path:Run logs of a Flink job: ${BIGDATA_DATA_HOME}/hadoop/data${i}/nm/containerlogs/application_${appid}/container_{$contid}The logs of executing tasks are stored in ",
+		"doc_type":"cmpntguide",
+		"kw":"Flink Log Overview,Using Flink,Component Operation Guide (Normal)",
+		"title":"Flink Log Overview",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0597.html",
+		"product_code":"mrs",
+		"code":"149",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Flink Performance Tuning",
+		"title":"Flink Performance Tuning",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1587.html",
+		"product_code":"mrs",
+		"code":"150",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Optimization DataStream",
+		"title":"Optimization DataStream",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1588.html",
+		"product_code":"mrs",
+		"code":"151",
+		"des":"The computing of Flink depends on memory. If the memory is insufficient, the performance of Flink will be greatly deteriorated. One solution is to monitor garbage collect",
+		"doc_type":"cmpntguide",
+		"kw":"Memory Configuration Optimization,Optimization DataStream,Component Operation Guide (Normal)",
+		"title":"Memory Configuration Optimization",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1589.html",
+		"product_code":"mrs",
+		"code":"152",
+		"des":"The degree of parallelism (DOP) indicates the number of tasks to be executed concurrently. It determines the number of data blocks after the operation. Configuring the DO",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring DOP,Optimization DataStream,Component Operation Guide (Normal)",
+		"title":"Configuring DOP",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1590.html",
+		"product_code":"mrs",
+		"code":"153",
+		"des":"In Flink on Yarn mode, there are JobManagers and TaskManagers. JobManagers and TaskManagers schedule and run tasks.Therefore, configuring parameters of JobManagers and Ta",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Process Parameters,Optimization DataStream,Component Operation Guide (Normal)",
+		"title":"Configuring Process Parameters",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1591.html",
+		"product_code":"mrs",
+		"code":"154",
+		"des":"The divide of tasks can be optimized by optimizing the partitioning method. If data skew occurs in a certain task, the whole execution process is delayed. Therefore, when",
+		"doc_type":"cmpntguide",
+		"kw":"Optimizing the Design of Partitioning Method,Optimization DataStream,Component Operation Guide (Norm",
+		"title":"Optimizing the Design of Partitioning Method",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1592.html",
+		"product_code":"mrs",
+		"code":"155",
+		"des":"The communication of Flink is based on Netty network. The network performance determines the data switching speed and task execution efficiency. Therefore, the performanc",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring the Netty Network Communication,Optimization DataStream,Component Operation Guide (Norma",
+		"title":"Configuring the Netty Network Communication",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1593.html",
+		"product_code":"mrs",
+		"code":"156",
+		"des":"If data skew occurs (certain data volume is extremely large), the execution time of tasks is inconsistent even though no GC is performed.Redefine keys. Use keys of smalle",
+		"doc_type":"cmpntguide",
+		"kw":"Experience Summary,Optimization DataStream,Component Operation Guide (Normal)",
+		"title":"Experience Summary",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0598.html",
+		"product_code":"mrs",
+		"code":"157",
+		"des":"This section applies to MRS 3.x or later clusters.Before running the Flink shell commands, perform the following steps:source /opt/client/bigdata_envkinit Service user",
+		"doc_type":"cmpntguide",
+		"kw":"Common Flink Shell Commands,Using Flink,Component Operation Guide (Normal)",
+		"title":"Common Flink Shell Commands",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0390.html",
+		"product_code":"mrs",
+		"code":"158",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using Flume",
+		"title":"Using Flume",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0397.html",
+		"product_code":"mrs",
+		"code":"159",
+		"des":"You can use Flume to import collected log information to Kafka.A streaming cluster that contains components such as Flume and Kafka and has Kerberos authentication enable",
+		"doc_type":"cmpntguide",
+		"kw":"Using Flume from Scratch,Using Flume,Component Operation Guide (Normal)",
+		"title":"Using Flume from Scratch",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0391.html",
+		"product_code":"mrs",
+		"code":"160",
+		"des":"Flume is a distributed, reliable, and highly available system for aggregating massive logs, which can efficiently collect, aggregate, and move massive log data from diffe",
+		"doc_type":"cmpntguide",
+		"kw":"Overview,Using Flume,Component Operation Guide (Normal)",
+		"title":"Overview",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0392.html",
+		"product_code":"mrs",
+		"code":"161",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Installing the Flume Client",
+		"title":"Installing the Flume Client",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1594.html",
+		"product_code":"mrs",
+		"code":"162",
+		"des":"To use Flume to collect logs, you must install the Flume client on a log host. You can create an ECS and install the Flume client on it.This section applies to MRS 3.x or",
+		"doc_type":"cmpntguide",
+		"kw":"Installing the Flume Client on Clusters of Versions Earlier Than MRS 3.x,Installing the Flume Client",
+		"title":"Installing the Flume Client on Clusters of Versions Earlier Than MRS 3.x",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1595.html",
+		"product_code":"mrs",
+		"code":"163",
+		"des":"To use Flume to collect logs, you must install the Flume client on a log host. You can create an ECS and install the Flume client on it.This section applies to MRS 3.x or",
+		"doc_type":"cmpntguide",
+		"kw":"Installing the Flume Client on MRS 3.x or Later Clusters,Installing the Flume Client,Component Opera",
+		"title":"Installing the Flume Client on MRS 3.x or Later Clusters",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0393.html",
+		"product_code":"mrs",
+		"code":"164",
+		"des":"You can view logs to locate faults.The Flume client has been installed.ls -lR flume-client-*A log file is shown as follows:In the log file, FlumeClient.log is the run log",
+		"doc_type":"cmpntguide",
+		"kw":"Viewing Flume Client Logs,Using Flume,Component Operation Guide (Normal)",
+		"title":"Viewing Flume Client Logs",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0394.html",
+		"product_code":"mrs",
+		"code":"165",
+		"des":"You can stop and start the Flume client or uninstall the Flume client when the Flume data ingestion channel is not required.Stop the Flume client of the Flume role.Assume",
+		"doc_type":"cmpntguide",
+		"kw":"Stopping or Uninstalling the Flume Client,Using Flume,Component Operation Guide (Normal)",
+		"title":"Stopping or Uninstalling the Flume Client",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0395.html",
+		"product_code":"mrs",
+		"code":"166",
+		"des":"You can use the encryption tool provided by the Flume client to encrypt some parameter values in the configuration file.The Flume client has been installed.cd fusioninsig",
+		"doc_type":"cmpntguide",
+		"kw":"Using the Encryption Tool of the Flume Client,Using Flume,Component Operation Guide (Normal)",
+		"title":"Using the Encryption Tool of the Flume Client",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1057.html",
+		"product_code":"mrs",
+		"code":"167",
+		"des":"This section applies to MRS 3.x or later clusters.This configuration guide describes how to configure common Flume services. For non-common Source, Channel, and Sink conf",
+		"doc_type":"cmpntguide",
+		"kw":"Flume Service Configuration Guide,Using Flume,Component Operation Guide (Normal)",
+		"title":"Flume Service Configuration Guide",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0396.html",
+		"product_code":"mrs",
+		"code":"168",
+		"des":"For versions earlier than MRS 3.x, configure Flume parameters in the properties.properties file.For MRS 3.x or later, some parameters can be configured on Manager.This se",
+		"doc_type":"cmpntguide",
+		"kw":"Flume Configuration Parameter Description,Using Flume,Component Operation Guide (Normal)",
+		"title":"Flume Configuration Parameter Description",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1058.html",
+		"product_code":"mrs",
+		"code":"169",
+		"des":"This section describes how to use environment variables in the properties.properties configuration file.This section applies to MRS 3.x or later clusters.The Flume servic",
+		"doc_type":"cmpntguide",
+		"kw":"Using Environment Variables in the properties.properties File,Using Flume,Component Operation Guide ",
+		"title":"Using Environment Variables in the properties.properties File",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1059.html",
+		"product_code":"mrs",
+		"code":"170",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Non-Encrypted Transmission",
+		"title":"Non-Encrypted Transmission",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1060.html",
+		"product_code":"mrs",
+		"code":"171",
+		"des":"This section describes how to configure Flume server and client parameters after the cluster and the Flume service are installed to ensure proper running of the service.T",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Non-encrypted Transmission,Non-Encrypted Transmission,Component Operation Guide (Normal)",
+		"title":"Configuring Non-encrypted Transmission",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1061.html",
+		"product_code":"mrs",
+		"code":"172",
+		"des":"This section describes how to use the Flume client to collect static logs from a local host and save them to the topic list (test1) of Kafka.This section applies to MRS 3",
+		"doc_type":"cmpntguide",
+		"kw":"Typical Scenario: Collecting Local Static Logs and Uploading Them to Kafka,Non-Encrypted Transmissio",
+		"title":"Typical Scenario: Collecting Local Static Logs and Uploading Them to Kafka",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1063.html",
+		"product_code":"mrs",
+		"code":"173",
+		"des":"This section describes how to use the Flume client to collect static logs from a local host and save them to the /flume/test directory on HDFS.This section applies to MRS",
+		"doc_type":"cmpntguide",
+		"kw":"Typical Scenario: Collecting Local Static Logs and Uploading Them to HDFS,Non-Encrypted Transmission",
+		"title":"Typical Scenario: Collecting Local Static Logs and Uploading Them to HDFS",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1064.html",
+		"product_code":"mrs",
+		"code":"174",
+		"des":"This section describes how to use the Flume client to collect dynamic logs from a local host and save them to the /flume/test directory on HDFS.This section applies to MR",
+		"doc_type":"cmpntguide",
+		"kw":"Typical Scenario: Collecting Local Dynamic Logs and Uploading Them to HDFS,Non-Encrypted Transmissio",
+		"title":"Typical Scenario: Collecting Local Dynamic Logs and Uploading Them to HDFS",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1065.html",
+		"product_code":"mrs",
+		"code":"175",
+		"des":"This section describes how to use the Flume client to collect logs from the topic list (test1) of Kafka and save them to the /flume/test directory on HDFS.This section ap",
+		"doc_type":"cmpntguide",
+		"kw":"Typical Scenario: Collecting Logs from Kafka and Uploading Them to HDFS,Non-Encrypted Transmission,C",
+		"title":"Typical Scenario: Collecting Logs from Kafka and Uploading Them to HDFS",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1066.html",
+		"product_code":"mrs",
+		"code":"176",
+		"des":"This section describes how to use the Flume client to collect logs from the topic list (test1) of the Kafka client and save them to the /flume/test directory on HDFS.This",
+		"doc_type":"cmpntguide",
+		"kw":"Typical Scenario: Collecting Logs from Kafka and Uploading Them to HDFS Through the Flume Client,Non",
+		"title":"Typical Scenario: Collecting Logs from Kafka and Uploading Them to HDFS Through the Flume Client",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1067.html",
+		"product_code":"mrs",
+		"code":"177",
+		"des":"This section describes how to use the Flume client to collect static logs from a local host and save them to the flume_test HBase table. In this scenario, multi-level age",
+		"doc_type":"cmpntguide",
+		"kw":"Typical Scenario: Collecting Local Static Logs and Uploading Them to HBase,Non-Encrypted Transmissio",
+		"title":"Typical Scenario: Collecting Local Static Logs and Uploading Them to HBase",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1068.html",
+		"product_code":"mrs",
+		"code":"178",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Encrypted Transmission",
+		"title":"Encrypted Transmission",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1069.html",
+		"product_code":"mrs",
+		"code":"179",
+		"des":"This section describes how to configure the server and client parameters of the Flume service (including the Flume and MonitorServer roles) after the cluster is installed",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring the Encrypted Transmission,Encrypted Transmission,Component Operation Guide (Normal)",
+		"title":"Configuring the Encrypted Transmission",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1070.html",
+		"product_code":"mrs",
+		"code":"180",
+		"des":"This section describes how to use Flume to collect static logs from a local host and save them to the /flume/test directory on HDFS.This section applies to MRS 3.x or lat",
+		"doc_type":"cmpntguide",
+		"kw":"Typical Scenario: Collecting Local Static Logs and Uploading Them to HDFS,Encrypted Transmission,Com",
+		"title":"Typical Scenario: Collecting Local Static Logs and Uploading Them to HDFS",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1596.html",
+		"product_code":"mrs",
+		"code":"181",
+		"des":"The Flume client outside the FusionInsight cluster is a part of the end-to-end data collection. Both the Flume client outside the cluster and the Flume server in the clus",
+		"doc_type":"cmpntguide",
+		"kw":"Viewing Flume Client Monitoring Information,Using Flume,Component Operation Guide (Normal)",
+		"title":"Viewing Flume Client Monitoring Information",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1071.html",
+		"product_code":"mrs",
+		"code":"182",
+		"des":"This section describes how to connect to Kafka using the Flume client in security mode.This section applies to MRS 3.x or later.Set keyTab and principal based on site req",
+		"doc_type":"cmpntguide",
+		"kw":"Connecting Flume to Kafka in Security Mode,Using Flume,Component Operation Guide (Normal)",
+		"title":"Connecting Flume to Kafka in Security Mode",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1072.html",
+		"product_code":"mrs",
+		"code":"183",
+		"des":"This section describes how to use Flume to connect to Hive (version 3.1.0) in the cluster.This section applies to MRS 3.x or later.Flume and Hive have been correctly inst",
+		"doc_type":"cmpntguide",
+		"kw":"Connecting Flume with Hive in Security Mode,Using Flume,Component Operation Guide (Normal)",
+		"title":"Connecting Flume with Hive in Security Mode",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1073.html",
+		"product_code":"mrs",
+		"code":"184",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring the Flume Service Model",
+		"title":"Configuring the Flume Service Model",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1074.html",
+		"product_code":"mrs",
+		"code":"185",
+		"des":"This section applies to MRS 3.x or later.Guide a reasonable Flume service configuration by providing performance differences between Flume common modules, to avoid a nons",
+		"doc_type":"cmpntguide",
+		"kw":"Overview,Configuring the Flume Service Model,Component Operation Guide (Normal)",
+		"title":"Overview",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1075.html",
+		"product_code":"mrs",
+		"code":"186",
+		"des":"This section applies to MRS 3.x or later.During Flume service configuration and module selection, the ultimate throughput of a sink must be greater than the maximum throu",
+		"doc_type":"cmpntguide",
+		"kw":"Service Model Configuration Guide,Configuring the Flume Service Model,Component Operation Guide (Nor",
+		"title":"Service Model Configuration Guide",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1081.html",
+		"product_code":"mrs",
+		"code":"187",
+		"des":"Log path: The default path of Flume log files is /var/log/Bigdata/Role name.FlumeServer: /var/log/Bigdata/flume/flumeFlumeClient: /var/log/Bigdata/flume-client-n/flumeMon",
+		"doc_type":"cmpntguide",
+		"kw":"Introduction to Flume Logs,Using Flume,Component Operation Guide (Normal)",
+		"title":"Introduction to Flume Logs",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1082.html",
+		"product_code":"mrs",
+		"code":"188",
+		"des":"This section describes how to join and log out of a cgroup, query the cgroup status, and change the cgroup CPU threshold.This section applies to MRS 3.x or later.Join Cgr",
+		"doc_type":"cmpntguide",
+		"kw":"Flume Client Cgroup Usage Guide,Using Flume,Component Operation Guide (Normal)",
+		"title":"Flume Client Cgroup Usage Guide",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1083.html",
+		"product_code":"mrs",
+		"code":"189",
+		"des":"This section describes how to perform secondary development for third-party plug-ins.This section applies to MRS 3.x or later.You have obtained the third-party JAR packag",
+		"doc_type":"cmpntguide",
+		"kw":"Secondary Development Guide for Flume Third-Party Plug-ins,Using Flume,Component Operation Guide (No",
+		"title":"Secondary Development Guide for Flume Third-Party Plug-ins",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1598.html",
+		"product_code":"mrs",
+		"code":"190",
+		"des":"Flume logs are stored in /var/log/Bigdata/flume/flume/flumeServer.log. Most data transmission exceptions and data transmission failures are recorded in logs. You can run ",
+		"doc_type":"cmpntguide",
+		"kw":"Common Issues About Flume,Using Flume,Component Operation Guide (Normal)",
+		"title":"Common Issues About Flume",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0500.html",
+		"product_code":"mrs",
+		"code":"191",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using HBase",
+		"title":"Using HBase",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0368.html",
+		"product_code":"mrs",
+		"code":"192",
+		"des":"HBase is a column-based distributed storage system that features high reliability, performance, and scalability. This section describes how to use HBase from scratch, inc",
+		"doc_type":"cmpntguide",
+		"kw":"Using HBase from Scratch,Using HBase,Component Operation Guide (Normal)",
+		"title":"Using HBase from Scratch",
+		"githuburl":""
+	},
+	{
+		"uri":"bakmrs_01_0368.html",
+		"product_code":"mrs",
+		"code":"193",
+		"des":"This section describes how to use the HBase client in an O&M scenario or a service scenario.The client has been installed. For example, the installation directory is /opt",
+		"doc_type":"cmpntguide",
+		"kw":"Using an HBase Client,Using HBase,Component Operation Guide (Normal)",
+		"title":"Using an HBase Client",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1608.html",
+		"product_code":"mrs",
+		"code":"194",
+		"des":"This section guides the system administrator to create and configure an HBase role on Manager. The HBase role can set HBase administrator permissions and read (R), write ",
+		"doc_type":"cmpntguide",
+		"kw":"Creating HBase Roles,Using HBase,Component Operation Guide (Normal)",
+		"title":"Creating HBase Roles",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0501.html",
+		"product_code":"mrs",
+		"code":"195",
+		"des":"As a key feature to ensure high availability of the HBase cluster system, HBase cluster replication provides HBase with remote data replication in real time. It provides ",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring HBase Replication,Using HBase,Component Operation Guide (Normal)",
+		"title":"Configuring HBase Replication",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0443.html",
+		"product_code":"mrs",
+		"code":"196",
+		"des":"The operations described in this section apply only to clusters of versions earlier than MRS 3.x.If the default parameter settings of the MRS service cannot meet your req",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring HBase Parameters,Using HBase,Component Operation Guide (Normal)",
+		"title":"Configuring HBase Parameters",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0502.html",
+		"product_code":"mrs",
+		"code":"197",
+		"des":"DistCp is used to copy the data stored on HDFS from a cluster to another cluster. DistCp depends on the cross-cluster copy function, which is disabled by default. This fu",
+		"doc_type":"cmpntguide",
+		"kw":"Enabling Cross-Cluster Copy,Using HBase,Component Operation Guide (Normal)",
+		"title":"Enabling Cross-Cluster Copy",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0510.html",
+		"product_code":"mrs",
+		"code":"198",
+		"des":"Active and standby clusters have been installed and started.Time is consistent between the active and standby clusters and the NTP service on the active and standby clust",
+		"doc_type":"cmpntguide",
+		"kw":"Using the ReplicationSyncUp Tool,Using HBase,Component Operation Guide (Normal)",
+		"title":"Using the ReplicationSyncUp Tool",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24119.html",
+		"product_code":"mrs",
+		"code":"199",
+		"des":"This section applies only to MRS 3.1.0 or later.This section describes common GeoMesa commands. For more GeoMesa commands, visit https://www.geomesa.org/documentation/use",
+		"doc_type":"cmpntguide",
+		"kw":"GeoMesa Command Line,Using HBase,Component Operation Guide (Normal)",
+		"title":"GeoMesa Command Line",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1609.html",
+		"product_code":"mrs",
+		"code":"200",
+		"des":"HBase disaster recovery (DR), a key feature that is used to ensure high availability (HA) of the HBase cluster system, provides the real-time remote DR function for HBase",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring HBase DR,Using HBase,Component Operation Guide (Normal)",
+		"title":"Configuring HBase DR",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24112.html",
+		"product_code":"mrs",
+		"code":"201",
+		"des":"HBase encodes data blocks in HFiles to reduce duplicate keys in KeyValues, reducing used space. Currently, the following data block encoding modes are supported: NONE, PR",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring HBase Data Compression and Encoding,Using HBase,Component Operation Guide (Normal)",
+		"title":"Configuring HBase Data Compression and Encoding",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1610.html",
+		"product_code":"mrs",
+		"code":"202",
+		"des":"The system administrator can configure HBase cluster DR to improve system availability. If the active cluster in the DR environment is faulty and the connection to the HB",
+		"doc_type":"cmpntguide",
+		"kw":"Performing an HBase DR Service Switchover,Using HBase,Component Operation Guide (Normal)",
+		"title":"Performing an HBase DR Service Switchover",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1611.html",
+		"product_code":"mrs",
+		"code":"203",
+		"des":"The HBase cluster in the current environment is a DR cluster. Due to some reasons, the active and standby clusters need to be switched over. That is, the standby cluster ",
+		"doc_type":"cmpntguide",
+		"kw":"Performing an HBase DR Active/Standby Cluster Switchover,Using HBase,Component Operation Guide (Norm",
+		"title":"Performing an HBase DR Active/Standby Cluster Switchover",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1612.html",
+		"product_code":"mrs",
+		"code":"204",
+		"des":"The Apache HBase official website provides the function of importing data in batches. For details, see the description of the Import and ImportTsv tools at http://hbase.a",
+		"doc_type":"cmpntguide",
+		"kw":"Community BulkLoad Tool,Using HBase,Component Operation Guide (Normal)",
+		"title":"Community BulkLoad Tool",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1631.html",
+		"product_code":"mrs",
+		"code":"205",
+		"des":"In the actual application scenario, data in various sizes needs to be stored, for example, image data and documents. Data whose size is smaller than 10 MB can be stored i",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring the MOB,Using HBase,Component Operation Guide (Normal)",
+		"title":"Configuring the MOB",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1009.html",
+		"product_code":"mrs",
+		"code":"206",
+		"des":"This topic provides the procedure to configure the secure HBase replication during cross-realm Kerberos setup in security mode.Mapping for all the FQDNs to their realms s",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Secure HBase Replication,Using HBase,Component Operation Guide (Normal)",
+		"title":"Configuring Secure HBase Replication",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1010.html",
+		"product_code":"mrs",
+		"code":"207",
+		"des":"In a faulty environment, there are possibilities that a region may be stuck in transition for longer duration due to various reasons like slow region server response, uns",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Region In Transition Recovery Chore Service,Using HBase,Component Operation Guide (Norma",
+		"title":"Configuring Region In Transition Recovery Chore Service",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1056.html",
+		"product_code":"mrs",
+		"code":"208",
+		"des":"Log path: The default storage path of HBase logs is /var/log/Bigdata/hbase/Role name.HMaster: /var/log/Bigdata/hbase/hm (run logs) and /var/log/Bigdata/audit/hbase/hm (au",
+		"doc_type":"cmpntguide",
+		"kw":"HBase Log Overview,Using HBase,Component Operation Guide (Normal)",
+		"title":"HBase Log Overview",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1013.html",
+		"product_code":"mrs",
+		"code":"209",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"HBase Performance Tuning",
+		"title":"HBase Performance Tuning",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1636.html",
+		"product_code":"mrs",
+		"code":"210",
+		"des":"BulkLoad uses MapReduce jobs to directly generate files that comply with the internal data format of HBase, and then loads the generated StoreFiles to a running cluster. ",
+		"doc_type":"cmpntguide",
+		"kw":"Improving the BulkLoad Efficiency,HBase Performance Tuning,Component Operation Guide (Normal)",
+		"title":"Improving the BulkLoad Efficiency",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1637.html",
+		"product_code":"mrs",
+		"code":"211",
+		"des":"In the scenario where a large number of requests are continuously put, setting the following two parameters to false can greatly improve the Put performance.hbase.regions",
+		"doc_type":"cmpntguide",
+		"kw":"Improving Put Performance,HBase Performance Tuning,Component Operation Guide (Normal)",
+		"title":"Improving Put Performance",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1016.html",
+		"product_code":"mrs",
+		"code":"212",
+		"des":"HBase has many configuration parameters related to read and write performance. The configuration parameters need to be adjusted based on the read/write request loads. Thi",
+		"doc_type":"cmpntguide",
+		"kw":"Optimizing Put and Scan Performance,HBase Performance Tuning,Component Operation Guide (Normal)",
+		"title":"Optimizing Put and Scan Performance",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1017.html",
+		"product_code":"mrs",
+		"code":"213",
+		"des":"Scenarios where data needs to be written to HBase in real time, or large-scale and consecutive put scenariosThis section applies to MRS 3.x and later versions.The HBase p",
+		"doc_type":"cmpntguide",
+		"kw":"Improving Real-time Data Write Performance,HBase Performance Tuning,Component Operation Guide (Norma",
+		"title":"Improving Real-time Data Write Performance",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1018.html",
+		"product_code":"mrs",
+		"code":"214",
+		"des":"HBase data needs to be read.The get or scan interface of HBase has been invoked and data is read in real time from HBase.Data reading server tuningParameter portal:Go to ",
+		"doc_type":"cmpntguide",
+		"kw":"Improving Real-time Data Read Performance,HBase Performance Tuning,Component Operation Guide (Normal",
+		"title":"Improving Real-time Data Read Performance",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1019.html",
+		"product_code":"mrs",
+		"code":"215",
+		"des":"When the number of clusters reaches a certain scale, the default settings of the Java virtual machine (JVM) cannot meet the cluster requirements. In this case, the cluste",
+		"doc_type":"cmpntguide",
+		"kw":"Optimizing JVM Parameters,HBase Performance Tuning,Component Operation Guide (Normal)",
+		"title":"Optimizing JVM Parameters",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1638.html",
+		"product_code":"mrs",
+		"code":"216",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Common Issues About HBase",
+		"title":"Common Issues About HBase",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1639.html",
+		"product_code":"mrs",
+		"code":"217",
+		"des":"A HBase server is faulty and cannot provide services. In this case, when a table operation is performed on the HBase client, why is the operation suspended and no respons",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does a Client Keep Failing to Connect to a Server for a Long Time?,Common Issues About HBase,Com",
+		"title":"Why Does a Client Keep Failing to Connect to a Server for a Long Time?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1640.html",
+		"product_code":"mrs",
+		"code":"218",
+		"des":"Why submitted operations fail by stopping BulkLoad on the client during BulkLoad data importing?When BulkLoad is enabled on the client, a partitioner file is generated an",
+		"doc_type":"cmpntguide",
+		"kw":"Operation Failures Occur in Stopping BulkLoad On the Client,Common Issues About HBase,Component Oper",
+		"title":"Operation Failures Occur in Stopping BulkLoad On the Client",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1641.html",
+		"product_code":"mrs",
+		"code":"219",
+		"des":"When HBase consecutively deletes and creates the same table, why may a table creation exception occur?Execution process: Disable Table > Drop Table > Create Table > Disab",
+		"doc_type":"cmpntguide",
+		"kw":"Why May a Table Creation Exception Occur When HBase Deletes or Creates the Same Table Consecutively?",
+		"title":"Why May a Table Creation Exception Occur When HBase Deletes or Creates the Same Table Consecutively?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1642.html",
+		"product_code":"mrs",
+		"code":"220",
+		"des":"Why other services become unstable if HBase sets up a large number of connections over the network port?When the OS command lsof or netstat is run, it is found that many ",
+		"doc_type":"cmpntguide",
+		"kw":"Why Other Services Become Unstable If HBase Sets up A Large Number of Connections over the Network P",
+		"title":"Why Other Services Become Unstable If HBase Sets up A Large Number of Connections over the Network Port?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1643.html",
+		"product_code":"mrs",
+		"code":"221",
+		"des":"The HBase bulkLoad task (a single table contains 26 TB data) has 210,000 maps and 10,000 reduce tasks (in MRS 3.x or later), and the task fails.ZooKeeper I/O bottleneck o",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does the HBase BulkLoad Task (One Table Has 26 TB Data) Consisting of 210,000 Map Tasks and 10,0",
+		"title":"Why Does the HBase BulkLoad Task (One Table Has 26 TB Data) Consisting of 210,000 Map Tasks and 10,000 Reduce Tasks Fail?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1644.html",
+		"product_code":"mrs",
+		"code":"222",
+		"des":"How do I restore a region in the RIT state for a long time?Log in to the HMaster Web UI, choose Procedure & Locks in the navigation tree, and check whether any process ID",
+		"doc_type":"cmpntguide",
+		"kw":"How Do I Restore a Region in the RIT State for a Long Time?,Common Issues About HBase,Component Oper",
+		"title":"How Do I Restore a Region in the RIT State for a Long Time?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1645.html",
+		"product_code":"mrs",
+		"code":"223",
+		"des":"Why does HMaster exit due to timeout when waiting for the namespace table to go online?During the HMaster active/standby switchover or startup, HMaster performs WAL split",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does HMaster Exits Due to Timeout When Waiting for the Namespace Table to Go Online?,Common Issu",
+		"title":"Why Does HMaster Exits Due to Timeout When Waiting for the Namespace Table to Go Online?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1646.html",
+		"product_code":"mrs",
+		"code":"224",
+		"des":"Why does the following exception occur on the client when I use the HBase client to operate table data?At the same time, the following log is displayed on RegionServer:Th",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does SocketTimeoutException Occur When a Client Queries HBase?,Common Issues About HBase,Compone",
+		"title":"Why Does SocketTimeoutException Occur When a Client Queries HBase?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1647.html",
+		"product_code":"mrs",
+		"code":"225",
+		"des":"Why modified and deleted data can still be queried by using the scan command?Because of the scalability of HBase, all values specific to the versions in the queried colum",
+		"doc_type":"cmpntguide",
+		"kw":"Why Modified and Deleted Data Can Still Be Queried by Using the Scan Command?,Common Issues About HB",
+		"title":"Why Modified and Deleted Data Can Still Be Queried by Using the Scan Command?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1648.html",
+		"product_code":"mrs",
+		"code":"226",
+		"des":"Why \"java.lang.UnsatisfiedLinkError: Permission denied\" exception thrown while starting HBase shell?During HBase shell execution JRuby create temporary files under java.i",
+		"doc_type":"cmpntguide",
+		"kw":"Why \"java.lang.UnsatisfiedLinkError: Permission denied\" exception thrown while starting HBase shell?",
+		"title":"Why \"java.lang.UnsatisfiedLinkError: Permission denied\" exception thrown while starting HBase shell?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1649.html",
+		"product_code":"mrs",
+		"code":"227",
+		"des":"When does the RegionServers listed under \"Dead Region Servers\" on HMaster WebUI gets cleared?When an online RegionServer goes down abruptly, it is displayed under \"Dead R",
+		"doc_type":"cmpntguide",
+		"kw":"When does the RegionServers listed under \"Dead Region Servers\" on HMaster WebUI gets cleared?,Common",
+		"title":"When does the RegionServers listed under \"Dead Region Servers\" on HMaster WebUI gets cleared?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1650.html",
+		"product_code":"mrs",
+		"code":"228",
+		"des":"If the data to be imported by HBase bulkload has identical rowkeys, the data import is successful but identical query criteria produce different query results.Data with a",
+		"doc_type":"cmpntguide",
+		"kw":"Why Are Different Query Results Returned After I Use Same Query Criteria to Query Data Successfully ",
+		"title":"Why Are Different Query Results Returned After I Use Same Query Criteria to Query Data Successfully Imported by HBase bulkload?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1651.html",
+		"product_code":"mrs",
+		"code":"229",
+		"des":"What should I do if I fail to create tables due to the FAILED_OPEN state of Regions?If a network, HDFS, or Active HMaster fault occurs during the creation of tables, some",
+		"doc_type":"cmpntguide",
+		"kw":"What Should I Do If I Fail to Create Tables Due to the FAILED_OPEN State of Regions?,Common Issues A",
+		"title":"What Should I Do If I Fail to Create Tables Due to the FAILED_OPEN State of Regions?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1652.html",
+		"product_code":"mrs",
+		"code":"230",
+		"des":"In security mode, names of tables that failed to be created are unnecessarily retained in the table-lock node (default directory is /hbase/table-lock) of ZooKeeper. How d",
+		"doc_type":"cmpntguide",
+		"kw":"How Do I Delete Residual Table Names in the /hbase/table-lock Directory of ZooKeeper?,Common Issues ",
+		"title":"How Do I Delete Residual Table Names in the /hbase/table-lock Directory of ZooKeeper?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1653.html",
+		"product_code":"mrs",
+		"code":"231",
+		"des":"Why does HBase become faulty when I set quota for the directory used by HBase in HDFS?The flush operation of a table is to write memstore data to HDFS.If the HDFS directo",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does HBase Become Faulty When I Set a Quota for the Directory Used by HBase in HDFS?,Common Issu",
+		"title":"Why Does HBase Become Faulty When I Set a Quota for the Directory Used by HBase in HDFS?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1654.html",
+		"product_code":"mrs",
+		"code":"232",
+		"des":"Why HMaster times out while waiting for namespace table to be assigned after rebuilding meta using OfflineMetaRepair tool and startups failed?HMaster abort with following",
+		"doc_type":"cmpntguide",
+		"kw":"Why HMaster Times Out While Waiting for Namespace Table to be Assigned After Rebuilding Meta Using O",
+		"title":"Why HMaster Times Out While Waiting for Namespace Table to be Assigned After Rebuilding Meta Using OfflineMetaRepair Tool and Startups Failed",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1655.html",
+		"product_code":"mrs",
+		"code":"233",
+		"des":"Why messages containing FileNotFoundException and no lease are frequently displayed in the HMaster logs during the WAL splitting process?During the WAL splitting process,",
+		"doc_type":"cmpntguide",
+		"kw":"Why Messages Containing FileNotFoundException and no lease Are Frequently Displayed in the HMaster L",
+		"title":"Why Messages Containing FileNotFoundException and no lease Are Frequently Displayed in the HMaster Logs During the WAL Splitting Process?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1657.html",
+		"product_code":"mrs",
+		"code":"234",
+		"des":"When a tenant accesses Phoenix, a message is displayed indicating that the tenant has insufficient rights.You need to associate the HBase service and Yarn queues when cre",
+		"doc_type":"cmpntguide",
+		"kw":"Insufficient Rights When a Tenant Accesses Phoenix,Common Issues About HBase,Component Operation Gui",
+		"title":"Insufficient Rights When a Tenant Accesses Phoenix",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1659.html",
+		"product_code":"mrs",
+		"code":"235",
+		"des":"The system automatically rolls back data after an HBase recovery task fails. If \"Rollback recovery failed\" is displayed, the rollback fails. After the rollback fails, dat",
+		"doc_type":"cmpntguide",
+		"kw":"What Can I Do When HBase Fails to Recover a Task and a Message Is Displayed Stating \"Rollback recove",
+		"title":"What Can I Do When HBase Fails to Recover a Task and a Message Is Displayed Stating \"Rollback recovery failed\"?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1660.html",
+		"product_code":"mrs",
+		"code":"236",
+		"des":"When the HBaseFsck tool is used to check the region status in MRS 3.x and later versions, if the log contains ERROR: (regions region1 and region2) There is an overlap in ",
+		"doc_type":"cmpntguide",
+		"kw":"How Do I Fix Region Overlapping?,Common Issues About HBase,Component Operation Guide (Normal)",
+		"title":"How Do I Fix Region Overlapping?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1661.html",
+		"product_code":"mrs",
+		"code":"237",
+		"des":"(MRS 3.x and later versions) Check the hbase-omm-*.out log of the node where RegionServer fails to be started. It is found that the log contains An error report file with",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does RegionServer Fail to Be Started When GC Parameters Xms and Xmx of HBase RegionServer Are Se",
+		"title":"Why Does RegionServer Fail to Be Started When GC Parameters Xms and Xmx of HBase RegionServer Are Set to 31 GB?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0625.html",
+		"product_code":"mrs",
+		"code":"238",
+		"des":"Why does the LoadIncrementalHFiles tool fail to be executed and \"Permission denied\" is displayed when a Linux user is manually created in a normal cluster and DataNode in",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does the LoadIncrementalHFiles Tool Fail to Be Executed and \"Permission denied\" Is Displayed Whe",
+		"title":"Why Does the LoadIncrementalHFiles Tool Fail to Be Executed and \"Permission denied\" Is Displayed When Nodes in a Cluster Are Used to Import Data in Batches?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2210.html",
+		"product_code":"mrs",
+		"code":"239",
+		"des":"When the sqlline script is used on the client, the error message \"import argparse\" is displayed.",
+		"doc_type":"cmpntguide",
+		"kw":"Why Is the Error Message \"import argparse\" Displayed When the Phoenix sqlline Script Is Used?,Common",
+		"title":"Why Is the Error Message \"import argparse\" Displayed When the Phoenix sqlline Script Is Used?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2211.html",
+		"product_code":"mrs",
+		"code":"240",
+		"des":"When the indexed field data is updated, if a batch of data exists in the user table, the BulkLoad tool cannot update the global and partial mutable indexes.Problem Analys",
+		"doc_type":"cmpntguide",
+		"kw":"How Do I Deal with the Restrictions of the Phoenix BulkLoad Tool?,Common Issues About HBase,Componen",
+		"title":"How Do I Deal with the Restrictions of the Phoenix BulkLoad Tool?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2212.html",
+		"product_code":"mrs",
+		"code":"241",
+		"des":"When CTBase accesses the HBase service with the Ranger plug-ins enabled and you are creating a cluster table, a message is displayed indicating that the permission is ins",
+		"doc_type":"cmpntguide",
+		"kw":"Why a Message Is Displayed Indicating that the Permission is Insufficient When CTBase Connects to th",
+		"title":"Why a Message Is Displayed Indicating that the Permission is Insufficient When CTBase Connects to the Ranger Plug-ins?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0790.html",
+		"product_code":"mrs",
+		"code":"242",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using HDFS",
+		"title":"Using HDFS",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0791.html",
+		"product_code":"mrs",
+		"code":"243",
+		"des":"In HDFS, each file object needs to register corresponding information in the NameNode and occupies certain storage space. As the number of files increases, if the origina",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Memory Management,Using HDFS,Component Operation Guide (Normal)",
+		"title":"Configuring Memory Management",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1662.html",
+		"product_code":"mrs",
+		"code":"244",
+		"des":"This section describes how to create and configure an HDFS role on FusionInsight Manager. The HDFS role is granted the rights to read, write, and execute HDFS directories",
+		"doc_type":"cmpntguide",
+		"kw":"Creating an HDFS Role,Using HDFS,Component Operation Guide (Normal)",
+		"title":"Creating an HDFS Role",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1663.html",
+		"product_code":"mrs",
+		"code":"245",
+		"des":"This section describes how to use the HDFS client in an O&M scenario or service scenario.The client has been installed.For example, the installation directory is /opt/had",
+		"doc_type":"cmpntguide",
+		"kw":"Using the HDFS Client,Using HDFS,Component Operation Guide (Normal)",
+		"title":"Using the HDFS Client",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0794.html",
+		"product_code":"mrs",
+		"code":"246",
+		"des":"DistCp is a tool used to perform large-amount data replication between clusters or in a cluster. It uses MapReduce tasks to implement distributed copy of a large amount o",
+		"doc_type":"cmpntguide",
+		"kw":"Running the DistCp Command,Using HDFS,Component Operation Guide (Normal)",
+		"title":"Running the DistCp Command",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0795.html",
+		"product_code":"mrs",
+		"code":"247",
+		"des":"This section describes the directory structure in HDFS, as shown in the following table.",
+		"doc_type":"cmpntguide",
+		"kw":"Overview of HDFS File System Directories,Using HDFS,Component Operation Guide (Normal)",
+		"title":"Overview of HDFS File System Directories",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1664.html",
+		"product_code":"mrs",
+		"code":"248",
+		"des":"This section applies to MRS 3.x or later clusters.If the storage directory defined by the HDFS DataNode is incorrect or the HDFS storage plan changes, the system administ",
+		"doc_type":"cmpntguide",
+		"kw":"Changing the DataNode Storage Directory,Using HDFS,Component Operation Guide (Normal)",
+		"title":"Changing the DataNode Storage Directory",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0797.html",
+		"product_code":"mrs",
+		"code":"249",
+		"des":"The permission for some HDFS directories is 777 or 750 by default, which brings potential security risks. You are advised to modify the permission for the HDFS directorie",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring HDFS Directory Permission,Using HDFS,Component Operation Guide (Normal)",
+		"title":"Configuring HDFS Directory Permission",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1665.html",
+		"product_code":"mrs",
+		"code":"250",
+		"des":"This section applies to MRS 3.x or later.Before deploying a cluster, you can deploy a Network File System (NFS) server based on requirements to store NameNode metadata to",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring NFS,Using HDFS,Component Operation Guide (Normal)",
+		"title":"Configuring NFS",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0799.html",
+		"product_code":"mrs",
+		"code":"251",
+		"des":"In HDFS, DataNode stores user files and directories as blocks, and file objects are generated on the NameNode to map each file, directory, and block on the DataNode.The f",
+		"doc_type":"cmpntguide",
+		"kw":"Planning HDFS Capacity,Using HDFS,Component Operation Guide (Normal)",
+		"title":"Planning HDFS Capacity",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0801.html",
+		"product_code":"mrs",
+		"code":"252",
+		"des":"When you open an HDFS file, an error occurs due to the limit on the number of file handles. Information similar to the following is displayed.You can contact the systemad",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring ulimit for HBase and HDFS,Using HDFS,Component Operation Guide (Normal)",
+		"title":"Configuring ulimit for HBase and HDFS",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1667.html",
+		"product_code":"mrs",
+		"code":"253",
+		"des":"This section applies to MRS 3.x or later clusters.In the HDFS cluster, unbalanced disk usage among DataNodes may occur, for example, when new DataNodes are added to the c",
+		"doc_type":"cmpntguide",
+		"kw":"Balancing DataNode Capacity,Using HDFS,Component Operation Guide (Normal)",
+		"title":"Balancing DataNode Capacity",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0804.html",
+		"product_code":"mrs",
+		"code":"254",
+		"des":"By default, NameNode randomly selects a DataNode to write files. If the disk capacity of some DataNodes in a cluster is inconsistent (the total disk capacity of some node",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Replica Replacement Policy for Heterogeneous Capacity Among DataNodes,Using HDFS,Compone",
+		"title":"Configuring Replica Replacement Policy for Heterogeneous Capacity Among DataNodes",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0805.html",
+		"product_code":"mrs",
+		"code":"255",
+		"des":"Generally, multiple services are deployed in a cluster, and the storage of most services depends on the HDFS file system. Different components such as Spark and Yarn or c",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring the Number of Files in a Single HDFS Directory,Using HDFS,Component Operation Guide (Nor",
+		"title":"Configuring the Number of Files in a Single HDFS Directory",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0806.html",
+		"product_code":"mrs",
+		"code":"256",
+		"des":"On HDFS, deleted files are moved to the recycle bin (trash can) so that the data deleted by mistake can be restored.You can set the time threshold for storing files in th",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring the Recycle Bin Mechanism,Using HDFS,Component Operation Guide (Normal)",
+		"title":"Configuring the Recycle Bin Mechanism",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0807.html",
+		"product_code":"mrs",
+		"code":"257",
+		"des":"HDFS allows users to modify the default permissions of files and directories. The default mask provided by the HDFS for creating file and directory permissions is 022. If",
+		"doc_type":"cmpntguide",
+		"kw":"Setting Permissions on Files and Directories,Using HDFS,Component Operation Guide (Normal)",
+		"title":"Setting Permissions on Files and Directories",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0808.html",
+		"product_code":"mrs",
+		"code":"258",
+		"des":"In security mode, users can flexibly set the maximum token lifetime and token renewal interval in HDFS based on cluster requirements.Navigation path for setting parameter",
+		"doc_type":"cmpntguide",
+		"kw":"Setting the Maximum Lifetime and Renewal Interval of a Token,Using HDFS,Component Operation Guide (N",
+		"title":"Setting the Maximum Lifetime and Renewal Interval of a Token",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1669.html",
+		"product_code":"mrs",
+		"code":"259",
+		"des":"In the open source version, if multiple data storage volumes are configured for a DataNode, the DataNode stops providing services by default if one of the volumes is dama",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring the Damaged Disk Volume,Using HDFS,Component Operation Guide (Normal)",
+		"title":"Configuring the Damaged Disk Volume",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0810.html",
+		"product_code":"mrs",
+		"code":"260",
+		"des":"Encrypted channel is an encryption protocol of remote procedure call (RPC) in HDFS. When a user invokes RPC, the user's login name will be transmitted to RPC through RPC ",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Encrypted Channels,Using HDFS,Component Operation Guide (Normal)",
+		"title":"Configuring Encrypted Channels",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0811.html",
+		"product_code":"mrs",
+		"code":"261",
+		"des":"Clients probably encounter running errors when the network is not stable. Users can adjust the following parameter values to improve the running efficiency.Go to the All ",
+		"doc_type":"cmpntguide",
+		"kw":"Reducing the Probability of Abnormal Client Application Operation When the Network Is Not Stable,Usi",
+		"title":"Reducing the Probability of Abnormal Client Application Operation When the Network Is Not Stable",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1670.html",
+		"product_code":"mrs",
+		"code":"262",
+		"des":"This section applies to MRS 3.x or later.In the existing default DFSclient failover proxy provider, if a NameNode in a process is faulty, all HDFS client instances in the",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring the NameNode Blacklist,Using HDFS,Component Operation Guide (Normal)",
+		"title":"Configuring the NameNode Blacklist",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1672.html",
+		"product_code":"mrs",
+		"code":"263",
+		"des":"This section applies to MRS 3.x or later.Several finished Hadoop clusters are faulty because the NameNode is overloaded and unresponsive.Such problem is caused by the ini",
+		"doc_type":"cmpntguide",
+		"kw":"Optimizing HDFS NameNode RPC QoS,Using HDFS,Component Operation Guide (Normal)",
+		"title":"Optimizing HDFS NameNode RPC QoS",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1673.html",
+		"product_code":"mrs",
+		"code":"264",
+		"des":"When the speed at which the client writes data to the HDFS is greater than the disk bandwidth of the DataNode, the disk bandwidth is fully occupied. As a result, the Data",
+		"doc_type":"cmpntguide",
+		"kw":"Optimizing HDFS DataNode RPC QoS,Using HDFS,Component Operation Guide (Normal)",
+		"title":"Optimizing HDFS DataNode RPC QoS",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1675.html",
+		"product_code":"mrs",
+		"code":"265",
+		"des":"When the Yarn local directory and DataNode directory are on the same disk, the disk with larger capacity can run more tasks. Therefore, more intermediate data is stored i",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Reserved Percentage of Disk Usage on DataNodes,Using HDFS,Component Operation Guide (Nor",
+		"title":"Configuring Reserved Percentage of Disk Usage on DataNodes",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1676.html",
+		"product_code":"mrs",
+		"code":"266",
+		"des":"You need to configure the nodes for storing HDFS file data blocks based on data features. You can configure a label expression to an HDFS directory or file and assign one",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring HDFS NodeLabel,Using HDFS,Component Operation Guide (Normal)",
+		"title":"Configuring HDFS NodeLabel",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2360.html",
+		"product_code":"mrs",
+		"code":"267",
+		"des":"AZ Mover is a copy migration tool used to move copies to meet the new AZ policies set on the directory. It can be used to migrate copies from one AZ policy to another. AZ",
+		"doc_type":"cmpntguide",
+		"kw":"Using HDFS AZ Mover,Using HDFS,Component Operation Guide (Normal)",
+		"title":"Using HDFS AZ Mover",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1681.html",
+		"product_code":"mrs",
+		"code":"268",
+		"des":"In an HDFS cluster configured with HA, the active NameNode processes all client requests, and the standby NameNode reserves the latest metadata and block location informa",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring the Observer NameNode to Process Read Requests,Using HDFS,Component Operation Guide (Nor",
+		"title":"Configuring the Observer NameNode to Process Read Requests",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1684.html",
+		"product_code":"mrs",
+		"code":"269",
+		"des":"Performing this operation can concurrently modify file and directory permissions and access control tools in a cluster.This section applies to MRS 3.x or later clusters.P",
+		"doc_type":"cmpntguide",
+		"kw":"Performing Concurrent Operations on HDFS Files,Using HDFS,Component Operation Guide (Normal)",
+		"title":"Performing Concurrent Operations on HDFS Files",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0828.html",
+		"product_code":"mrs",
+		"code":"270",
+		"des":"Log path: The default path of HDFS logs is /var/log/Bigdata/hdfs/Role name.NameNode: /var/log/Bigdata/hdfs/nn (run logs) and /var/log/Bigdata/audit/hdfs/nn (audit logs)Da",
+		"doc_type":"cmpntguide",
+		"kw":"Introduction to HDFS Logs,Using HDFS,Component Operation Guide (Normal)",
+		"title":"Introduction to HDFS Logs",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0829.html",
+		"product_code":"mrs",
+		"code":"271",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"HDFS Performance Tuning",
+		"title":"HDFS Performance Tuning",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1687.html",
+		"product_code":"mrs",
+		"code":"272",
+		"des":"Improve the HDFS write performance by modifying the HDFS attributes.This section applies to MRS 3.x or later.Navigation path for setting parameters:On FusionInsight Manag",
+		"doc_type":"cmpntguide",
+		"kw":"Improving Write Performance,HDFS Performance Tuning,Component Operation Guide (Normal)",
+		"title":"Improving Write Performance",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1688.html",
+		"product_code":"mrs",
+		"code":"273",
+		"des":"Improve the HDFS read performance by using the client to cache the metadata for block locations.This function is recommended only for reading files that are not modified ",
+		"doc_type":"cmpntguide",
+		"kw":"Improving Read Performance Using Client Metadata Cache,HDFS Performance Tuning,Component Operation G",
+		"title":"Improving Read Performance Using Client Metadata Cache",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1689.html",
+		"product_code":"mrs",
+		"code":"274",
+		"des":"When HDFS is deployed in high availability (HA) mode with multiple NameNode instances, the HDFS client needs to connect to each NameNode in sequence to determine which is",
+		"doc_type":"cmpntguide",
+		"kw":"Improving the Connection Between the Client and NameNode Using Current Active Cache,HDFS Performance",
+		"title":"Improving the Connection Between the Client and NameNode Using Current Active Cache",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1690.html",
+		"product_code":"mrs",
+		"code":"275",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"FAQ",
+		"title":"FAQ",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1691.html",
+		"product_code":"mrs",
+		"code":"276",
+		"des":"The NameNode startup is slow when it is restarted immediately after a large number of files (for example, 1 million files) are deleted.It takes time for the DataNode to d",
+		"doc_type":"cmpntguide",
+		"kw":"NameNode Startup Is Slow,FAQ,Component Operation Guide (Normal)",
+		"title":"NameNode Startup Is Slow",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1693.html",
+		"product_code":"mrs",
+		"code":"277",
+		"des":"The DataNode is normal, but cannot report data blocks. As a result, the existing data blocks cannot be used.This error may occur when the number of data blocks in a data ",
+		"doc_type":"cmpntguide",
+		"kw":"DataNode Is Normal but Cannot Report Data Blocks,FAQ,Component Operation Guide (Normal)",
+		"title":"DataNode Is Normal but Cannot Report Data Blocks",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1694.html",
+		"product_code":"mrs",
+		"code":"278",
+		"des":"When errors occur in the dfs.datanode.data.dir directory of DataNode due to the permission or disk damage, HDFS WebUI does not display information about damaged data.Afte",
+		"doc_type":"cmpntguide",
+		"kw":"HDFS WebUI Cannot Properly Update Information About Damaged Data,FAQ,Component Operation Guide (Norm",
+		"title":"HDFS WebUI Cannot Properly Update Information About Damaged Data",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1695.html",
+		"product_code":"mrs",
+		"code":"279",
+		"des":"Why distcp command fails in the secure cluster with the following error displayed?Client side exceptionServer side exceptionThe preceding error may occur if webhdfs:// is",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does the Distcp Command Fail in the Secure Cluster, Causing an Exception?,FAQ,Component Operatio",
+		"title":"Why Does the Distcp Command Fail in the Secure Cluster, Causing an Exception?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1696.html",
+		"product_code":"mrs",
+		"code":"280",
+		"des":"If the number of disks specified by dfs.datanode.data.dir is equal to the value of dfs.datanode.failed.volumes.tolerated, DataNode startup will fail.By default, the failu",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does DataNode Fail to Start When the Number of Disks Specified by dfs.datanode.data.dir Equals d",
+		"title":"Why Does DataNode Fail to Start When the Number of Disks Specified by dfs.datanode.data.dir Equals dfs.datanode.failed.volumes.tolerated?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1697.html",
+		"product_code":"mrs",
+		"code":"281",
+		"des":"The capacity of a DataNode fails to calculate when multiple data.dir directories are configured in a disk partition.Currently, the capacity is calculated based on disks, ",
+		"doc_type":"cmpntguide",
+		"kw":"Failed to Calculate the Capacity of a DataNode when Multiple data.dir Directories Are Configured in ",
+		"title":"Failed to Calculate the Capacity of a DataNode when Multiple data.dir Directories Are Configured in a Disk Partition",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1698.html",
+		"product_code":"mrs",
+		"code":"282",
+		"des":"When the standby NameNode is powered off during metadata (namespace) storage, it fails to be started and the following error information is displayed.When the standby Nam",
+		"doc_type":"cmpntguide",
+		"kw":"Standby NameNode Fails to Be Restarted When the System Is Powered off During Metadata (Namespace) St",
+		"title":"Standby NameNode Fails to Be Restarted When the System Is Powered off During Metadata (Namespace) Storage",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1699.html",
+		"product_code":"mrs",
+		"code":"283",
+		"des":"Why data in the buffer is lost if a power outage occurs during storage of small files?Because of a power outage, the blocks in the buffer are not written to the disk imme",
+		"doc_type":"cmpntguide",
+		"kw":"Why Data in the Buffer Is Lost If a Power Outage Occurs During Storage of Small Files,FAQ,Component ",
+		"title":"Why Data in the Buffer Is Lost If a Power Outage Occurs During Storage of Small Files",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1700.html",
+		"product_code":"mrs",
+		"code":"284",
+		"des":"When HDFS calls the FileInputFormat getSplit method, the ArrayIndexOutOfBoundsException: 0 appears in the following log:The elements of each block correspondent frame are",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does Array Border-crossing Occur During FileInputFormat Split?,FAQ,Component Operation Guide (No",
+		"title":"Why Does Array Border-crossing Occur During FileInputFormat Split?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1701.html",
+		"product_code":"mrs",
+		"code":"285",
+		"des":"When the storage policy of the file is set to LAZY_PERSIST, the storage type of the first replica should be RAM_DISK, and the storage type of other replicas should be DIS",
+		"doc_type":"cmpntguide",
+		"kw":"Why Is the Storage Type of File Copies DISK When the Tiered Storage Policy Is LAZY_PERSIST?,FAQ,Comp",
+		"title":"Why Is the Storage Type of File Copies DISK When the Tiered Storage Policy Is LAZY_PERSIST?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1702.html",
+		"product_code":"mrs",
+		"code":"286",
+		"des":"When the NameNode node is overloaded (100% of the CPU is occupied), the NameNode is unresponsive. The HDFS clients that are connected to the overloaded NameNode fail to r",
+		"doc_type":"cmpntguide",
+		"kw":"The HDFS Client Is Unresponsive When the NameNode Is Overloaded for a Long Time,FAQ,Component Operat",
+		"title":"The HDFS Client Is Unresponsive When the NameNode Is Overloaded for a Long Time",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1703.html",
+		"product_code":"mrs",
+		"code":"287",
+		"des":"In DataNode, the storage directory of data blocks is specified by dfs.datanode.data.dir.Can I modify dfs.datanode.data.dir tomodify the data storage directory?Can I modif",
+		"doc_type":"cmpntguide",
+		"kw":"Can I Delete or Modify the Data Storage Directory in DataNode?,FAQ,Component Operation Guide (Normal",
+		"title":"Can I Delete or Modify the Data Storage Directory in DataNode?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1704.html",
+		"product_code":"mrs",
+		"code":"288",
+		"des":"Why are some blocks missing on the NameNode UI after the rollback is successful?This problem occurs because blocks with new IDs or genstamps may exist on the DataNode. Th",
+		"doc_type":"cmpntguide",
+		"kw":"Blocks Miss on the NameNode UI After the Successful Rollback,FAQ,Component Operation Guide (Normal)",
+		"title":"Blocks Miss on the NameNode UI After the Successful Rollback",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1705.html",
+		"product_code":"mrs",
+		"code":"289",
+		"des":"Why is an \"java.net.SocketException: No buffer space available\" exception reported when data is written to HDFS?This problem occurs when files are written to the HDFS. Ch",
+		"doc_type":"cmpntguide",
+		"kw":"Why Is \"java.net.SocketException: No buffer space available\" Reported When Data Is Written to HDFS,F",
+		"title":"Why Is \"java.net.SocketException: No buffer space available\" Reported When Data Is Written to HDFS",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1706.html",
+		"product_code":"mrs",
+		"code":"290",
+		"des":"Why are there two standby NameNodes after the active NameNode is restarted?When this problem occurs, check the ZooKeeper and ZooKeeper FC logs. You can find that the sess",
+		"doc_type":"cmpntguide",
+		"kw":"Why are There Two Standby NameNodes After the active NameNode Is Restarted?,FAQ,Component Operation ",
+		"title":"Why are There Two Standby NameNodes After the active NameNode Is Restarted?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1707.html",
+		"product_code":"mrs",
+		"code":"291",
+		"des":"After I start a Balance process in HDFS, the process is shut down abnormally. If I attempt to execute the Balance process again, it fails again.After a Balance process is",
+		"doc_type":"cmpntguide",
+		"kw":"When Does a Balance Process in HDFS, Shut Down and Fail to be Executed Again?,FAQ,Component Operatio",
+		"title":"When Does a Balance Process in HDFS, Shut Down and Fail to be Executed Again?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1708.html",
+		"product_code":"mrs",
+		"code":"292",
+		"des":"Occasionally, nternet Explorer 9, Explorer 10, or Explorer 11 fails to access the native HDFS UI.Internet Explorer 9, Explorer 10, or Explorer 11 fails to access the nati",
+		"doc_type":"cmpntguide",
+		"kw":"\"This page can't be displayed\" Is Displayed When Internet Explorer Fails to Access the Native HDFS U",
+		"title":"\"This page can't be displayed\" Is Displayed When Internet Explorer Fails to Access the Native HDFS UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1709.html",
+		"product_code":"mrs",
+		"code":"293",
+		"des":"If a JournalNode server is powered off, the data directory disk is fully occupied, and the network is abnormal, the EditLog sequence number on the JournalNode is inconsec",
+		"doc_type":"cmpntguide",
+		"kw":"NameNode Fails to Be Restarted Due to EditLog Discontinuity,FAQ,Component Operation Guide (Normal)",
+		"title":"NameNode Fails to Be Restarted Due to EditLog Discontinuity",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0581.html",
+		"product_code":"mrs",
+		"code":"294",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using Hive",
+		"title":"Using Hive",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0442.html",
+		"product_code":"mrs",
+		"code":"295",
+		"des":"Hive is a data warehouse framework built on Hadoop. It maps structured data files to a database table and provides SQL-like functions to analyze and process data. It also",
+		"doc_type":"cmpntguide",
+		"kw":"Using Hive from Scratch,Using Hive,Component Operation Guide (Normal)",
+		"title":"Using Hive from Scratch",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0582.html",
+		"product_code":"mrs",
+		"code":"296",
+		"des":"Go to the Hive configurations page by referring to Modifying Cluster Service Configuration Parameters.",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Hive Parameters,Using Hive,Component Operation Guide (Normal)",
+		"title":"Configuring Hive Parameters",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2330.html",
+		"product_code":"mrs",
+		"code":"297",
+		"des":"Hive SQL supports all features of Hive-3.1.0. For details, see https://cwiki.apache.org/confluence/display/hive/languagemanual.Table 1 describes the extended Hive stateme",
+		"doc_type":"cmpntguide",
+		"kw":"Hive SQL,Using Hive,Component Operation Guide (Normal)",
+		"title":"Hive SQL",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0947.html",
+		"product_code":"mrs",
+		"code":"298",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Permission Management",
+		"title":"Permission Management",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0948.html",
+		"product_code":"mrs",
+		"code":"299",
+		"des":"Hive is a data warehouse framework built on Hadoop. It provides basic data analysis services using the Hive query language (HQL), a language like the structured query lan",
+		"doc_type":"cmpntguide",
+		"kw":"Hive Permission,Permission Management,Component Operation Guide (Normal)",
+		"title":"Hive Permission",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0949.html",
+		"product_code":"mrs",
+		"code":"300",
+		"des":"This section describes how to create and configure a Hive role on Manager as the system administrator. The Hive role can be granted the permissions of the Hive administra",
+		"doc_type":"cmpntguide",
+		"kw":"Creating a Hive Role,Permission Management,Component Operation Guide (Normal)",
+		"title":"Creating a Hive Role",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0950.html",
+		"product_code":"mrs",
+		"code":"301",
+		"des":"You can configure related permissions if you need to access tables or databases created by other users. Hive supports column-based permission control. If a user needs to ",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Permissions for Hive Tables, Columns, or Databases,Permission Management,Component Opera",
+		"title":"Configuring Permissions for Hive Tables, Columns, or Databases",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0951.html",
+		"product_code":"mrs",
+		"code":"302",
+		"des":"Hive may need to be associated with other components. For example, Yarn permissions are required in the scenario of using HQL statements to trigger MapReduce jobs, and HB",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Permissions to Use Other Components for Hive,Permission Management,Component Operation G",
+		"title":"Configuring Permissions to Use Other Components for Hive",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0952.html",
+		"product_code":"mrs",
+		"code":"303",
+		"des":"This section guides users to use a Hive client in an O&M or service scenario.The client has been installed. For example, the client is installed in the /opt/hadoopclient ",
+		"doc_type":"cmpntguide",
+		"kw":"Using a Hive Client,Using Hive,Component Operation Guide (Normal)",
+		"title":"Using a Hive Client",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0953.html",
+		"product_code":"mrs",
+		"code":"304",
+		"des":"HDFS Colocation is the data location control function provided by HDFS. The HDFS Colocation API stores associated data or data on which associated operations are performe",
+		"doc_type":"cmpntguide",
+		"kw":"Using HDFS Colocation to Store Hive Tables,Using Hive,Component Operation Guide (Normal)",
+		"title":"Using HDFS Colocation to Store Hive Tables",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0954.html",
+		"product_code":"mrs",
+		"code":"305",
+		"des":"Hive supports encryption of one or multiple columns in a table. When creating a Hive table, you can specify the column to be encrypted and encryption algorithm. When data",
+		"doc_type":"cmpntguide",
+		"kw":"Using the Hive Column Encryption Function,Using Hive,Component Operation Guide (Normal)",
+		"title":"Using the Hive Column Encryption Function",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0955.html",
+		"product_code":"mrs",
+		"code":"306",
+		"des":"In most cases, a carriage return character is used as the row delimiter in Hive tables stored in text files, that is, the carriage return character is used as the termina",
+		"doc_type":"cmpntguide",
+		"kw":"Customizing Row Separators,Using Hive,Component Operation Guide (Normal)",
+		"title":"Customizing Row Separators",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24293.html",
+		"product_code":"",
+		"code":"307",
+		"des":"For mutually trusted Hive and HBase clusters with Kerberos authentication enabled, you can access the HBase cluster and synchronize its key configurations to HiveServer o",
+		"doc_type":"",
+		"kw":"Configuring Hive on HBase in Across Clusters with Mutual Trust Enabled,Using Hive,Component Operatio",
+		"title":"Configuring Hive on HBase in Across Clusters with Mutual Trust Enabled",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0956.html",
+		"product_code":"mrs",
+		"code":"308",
+		"des":"Due to the limitations of underlying storage systems, Hive does not support the ability to delete a single piece of table data. In Hive on HBase, MRS Hive supports the ab",
+		"doc_type":"cmpntguide",
+		"kw":"Deleting Single-Row Records from Hive on HBase,Using Hive,Component Operation Guide (Normal)",
+		"title":"Deleting Single-Row Records from Hive on HBase",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0957.html",
+		"product_code":"mrs",
+		"code":"309",
+		"des":"WebHCat provides external REST APIs for Hive. By default, the open-source community version uses the HTTP protocol.MRS Hive supports the HTTPS protocol that is more secur",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring HTTPS/HTTP-based REST APIs,Using Hive,Component Operation Guide (Normal)",
+		"title":"Configuring HTTPS/HTTP-based REST APIs",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0958.html",
+		"product_code":"mrs",
+		"code":"310",
+		"des":"The Transform function is not allowed by Hive of the open source version.MRS Hive supports the configuration of the Transform function. The function is disabled by defaul",
+		"doc_type":"cmpntguide",
+		"kw":"Enabling or Disabling the Transform Function,Using Hive,Component Operation Guide (Normal)",
+		"title":"Enabling or Disabling the Transform Function",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0959.html",
+		"product_code":"mrs",
+		"code":"311",
+		"des":"This section describes how to create a view on Hive when MRS is configured in security mode, authorize access permissions to different users, and specify that different u",
+		"doc_type":"cmpntguide",
+		"kw":"Access Control of a Dynamic Table View on Hive,Using Hive,Component Operation Guide (Normal)",
+		"title":"Access Control of a Dynamic Table View on Hive",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0960.html",
+		"product_code":"mrs",
+		"code":"312",
+		"des":"You must have ADMIN permission when creating temporary functions on Hive of the open source community version.MRS Hive supports the configuration of the function for crea",
+		"doc_type":"cmpntguide",
+		"kw":"Specifying Whether the ADMIN Permissions Is Required for Creating Temporary Functions,Using Hive,Com",
+		"title":"Specifying Whether the ADMIN Permissions Is Required for Creating Temporary Functions",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0961.html",
+		"product_code":"mrs",
+		"code":"313",
+		"des":"Hive allows users to create external tables to associate with other relational databases. External tables read data from associated relational databases and support Join ",
+		"doc_type":"cmpntguide",
+		"kw":"Using Hive to Read Data in a Relational Database,Using Hive,Component Operation Guide (Normal)",
+		"title":"Using Hive to Read Data in a Relational Database",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0962.html",
+		"product_code":"mrs",
+		"code":"314",
+		"des":"Hive supports the following types of traditional relational database syntax:GroupingEXCEPT and INTERSECTSyntax description:Grouping takes effect only when the Group by st",
+		"doc_type":"cmpntguide",
+		"kw":"Supporting Traditional Relational Database Syntax in Hive,Using Hive,Component Operation Guide (Norm",
+		"title":"Supporting Traditional Relational Database Syntax in Hive",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0966.html",
+		"product_code":"mrs",
+		"code":"315",
+		"des":"This function is applicable to Hive and Spark2x in MRS 3.x and later.With this function enabled, if the select permission is granted to a user during Hive table creation,",
+		"doc_type":"cmpntguide",
+		"kw":"Viewing Table Structures Using the show create Statement as Users with the select Permission,Using H",
+		"title":"Viewing Table Structures Using the show create Statement as Users with the select Permission",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0967.html",
+		"product_code":"mrs",
+		"code":"316",
+		"des":"This function applies to Hive.After this function is enabled, run the following command to write a directory into Hive: insert overwrite directory \"/path1\".... After the ",
+		"doc_type":"cmpntguide",
+		"kw":"Writing a Directory into Hive with the Old Data Removed to the Recycle Bin,Using Hive,Component Oper",
+		"title":"Writing a Directory into Hive with the Old Data Removed to the Recycle Bin",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0968.html",
+		"product_code":"mrs",
+		"code":"317",
+		"des":"This function applies to Hive.With this function enabled, run the insert overwrite directory/path1/path2/path3... command to write a subdirectory. The permission of the /",
+		"doc_type":"cmpntguide",
+		"kw":"Inserting Data to a Directory That Does Not Exist,Using Hive,Component Operation Guide (Normal)",
+		"title":"Inserting Data to a Directory That Does Not Exist",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0969.html",
+		"product_code":"mrs",
+		"code":"318",
+		"des":"This function is applicable to Hive and Spark2x for MRS 3.x or later, or Hive and Spark for versions earlier than MRS 3.x.After this function is enabled, only the Hive ad",
+		"doc_type":"cmpntguide",
+		"kw":"Creating Databases and Creating Tables in the Default Database Only as the Hive Administrator,Using ",
+		"title":"Creating Databases and Creating Tables in the Default Database Only as the Hive Administrator",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0970.html",
+		"product_code":"mrs",
+		"code":"319",
+		"des":"This function is applicable to Hive and Spark2x for MRS 3.x or later, or Hive and Spark for versions earlier than MRS 3.x.After this function is enabled, the location key",
+		"doc_type":"cmpntguide",
+		"kw":"Disabling of Specifying the location Keyword When Creating an Internal Hive Table,Using Hive,Compone",
+		"title":"Disabling of Specifying the location Keyword When Creating an Internal Hive Table",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0971.html",
+		"product_code":"mrs",
+		"code":"320",
+		"des":"This function is applicable to Hive and Spark2x for MRS 3.x or later, or Hive and Spark for versions earlier than MRS 3.x.After this function is enabled, the user or user",
+		"doc_type":"cmpntguide",
+		"kw":"Enabling the Function of Creating a Foreign Table in a Directory That Can Only Be Read,Using Hive,Co",
+		"title":"Enabling the Function of Creating a Foreign Table in a Directory That Can Only Be Read",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0972.html",
+		"product_code":"mrs",
+		"code":"321",
+		"des":"This function applies to Hive.The number of OS user groups is limited, and the number of roles that can be created in Hive cannot exceed 32. After this function is enable",
+		"doc_type":"cmpntguide",
+		"kw":"Authorizing Over 32 Roles in Hive,Using Hive,Component Operation Guide (Normal)",
+		"title":"Authorizing Over 32 Roles in Hive",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0973.html",
+		"product_code":"mrs",
+		"code":"322",
+		"des":"This function applies to Hive.This function is used to limit the maximum number of maps for Hive tasks on the server to avoid performance deterioration caused by overload",
+		"doc_type":"cmpntguide",
+		"kw":"Restricting the Maximum Number of Maps for Hive Tasks,Using Hive,Component Operation Guide (Normal)",
+		"title":"Restricting the Maximum Number of Maps for Hive Tasks",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0974.html",
+		"product_code":"mrs",
+		"code":"323",
+		"des":"This function applies to Hive.This function can be enabled to specify specific users to access HiveServer services on specific nodes, achieving HiveServer resource isolat",
+		"doc_type":"cmpntguide",
+		"kw":"HiveServer Lease Isolation,Using Hive,Component Operation Guide (Normal)",
+		"title":"HiveServer Lease Isolation",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0975.html",
+		"product_code":"mrs",
+		"code":"324",
+		"des":"Hive supports transactions at the table and partition levels. When the transaction mode is enabled, transaction tables can be incrementally updated, deleted, and read, im",
+		"doc_type":"cmpntguide",
+		"kw":"Hive Supporting Transactions,Using Hive,Component Operation Guide (Normal)",
+		"title":"Hive Supporting Transactions",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1750.html",
+		"product_code":"mrs",
+		"code":"325",
+		"des":"Hive can use the Tez engine to process data computing tasks. Before executing a task, you can manually switch the execution engine to Tez.The TimelineServer role of the Y",
+		"doc_type":"cmpntguide",
+		"kw":"Switching the Hive Execution Engine to Tez,Using Hive,Component Operation Guide (Normal)",
+		"title":"Switching the Hive Execution Engine to Tez",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2311.html",
+		"product_code":"mrs",
+		"code":"326",
+		"des":"A Hive materialized view is a special table obtained based on the query results of Hive internal tables. A materialized view can be considered as an intermediate table th",
+		"doc_type":"cmpntguide",
+		"kw":"Hive Materialized View,Using Hive,Component Operation Guide (Normal)",
+		"title":"Hive Materialized View",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0976.html",
+		"product_code":"mrs",
+		"code":"327",
+		"des":"Log path: The default save path of Hive logs is /var/log/Bigdata/hive/role name, the default save path of Hive1 logs is /var/log/Bigdata/hive1/role name, and the others f",
+		"doc_type":"cmpntguide",
+		"kw":"Hive Log Overview,Using Hive,Component Operation Guide (Normal)",
+		"title":"Hive Log Overview",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0977.html",
+		"product_code":"mrs",
+		"code":"328",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Hive Performance Tuning",
+		"title":"Hive Performance Tuning",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0978.html",
+		"product_code":"mrs",
+		"code":"329",
+		"des":"During the Select query, Hive generally scans the entire table, which is time-consuming. To improve query efficiency, create table partitions based on service requirement",
+		"doc_type":"cmpntguide",
+		"kw":"Creating Table Partitions,Hive Performance Tuning,Component Operation Guide (Normal)",
+		"title":"Creating Table Partitions",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0979.html",
+		"product_code":"mrs",
+		"code":"330",
+		"des":"When the Join statement is used, the command execution speed and query speed may be slow in case of large data volume. To resolve this problem, you can optimize Join.Join",
+		"doc_type":"cmpntguide",
+		"kw":"Optimizing Join,Hive Performance Tuning,Component Operation Guide (Normal)",
+		"title":"Optimizing Join",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0980.html",
+		"product_code":"mrs",
+		"code":"331",
+		"des":"Optimize the Group by statement to accelerate the command execution and query speed.During the Group by operation, Map performs grouping and distributes the groups to Red",
+		"doc_type":"cmpntguide",
+		"kw":"Optimizing Group By,Hive Performance Tuning,Component Operation Guide (Normal)",
+		"title":"Optimizing Group By",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0981.html",
+		"product_code":"mrs",
+		"code":"332",
+		"des":"ORC is an efficient column storage format and has higher compression ratio and reading efficiency than other file formats.You are advised to use ORC as the default Hive t",
+		"doc_type":"cmpntguide",
+		"kw":"Optimizing Data Storage,Hive Performance Tuning,Component Operation Guide (Normal)",
+		"title":"Optimizing Data Storage",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0982.html",
+		"product_code":"mrs",
+		"code":"333",
+		"des":"When SQL statements are executed on Hive, if the (a&b) or (a&c) logic exists in the statements, you are advised to change the logic to a & (b or c).If condition a is p_pa",
+		"doc_type":"cmpntguide",
+		"kw":"Optimizing SQL Statements,Hive Performance Tuning,Component Operation Guide (Normal)",
+		"title":"Optimizing SQL Statements",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0983.html",
+		"product_code":"mrs",
+		"code":"334",
+		"des":"When joining multiple tables in Hive, Hive supports Cost-Based Optimization (CBO). The system automatically selects the optimal plan based on the table statistics, such a",
+		"doc_type":"cmpntguide",
+		"kw":"Optimizing the Query Function Using Hive CBO,Hive Performance Tuning,Component Operation Guide (Norm",
+		"title":"Optimizing the Query Function Using Hive CBO",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1752.html",
+		"product_code":"mrs",
+		"code":"335",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Common Issues About Hive",
+		"title":"Common Issues About Hive",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1753.html",
+		"product_code":"mrs",
+		"code":"336",
+		"des":"How can I delete permanent user-defined functions (UDFs) on multiple HiveServers at the same time?Multiple HiveServers share one MetaStore database. Therefore, there is a",
+		"doc_type":"cmpntguide",
+		"kw":"How Do I Delete UDFs on Multiple HiveServers at the Same Time?,Common Issues About Hive,Component Op",
+		"title":"How Do I Delete UDFs on Multiple HiveServers at the Same Time?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1754.html",
+		"product_code":"mrs",
+		"code":"337",
+		"des":"Why cannot the DROP operation be performed for a backed up Hive table?Snapshots have been created for an HDFS directory mapping to the backed up Hive table, so the HDFS d",
+		"doc_type":"cmpntguide",
+		"kw":"Why Cannot the DROP operation Be Performed on a Backed-up Hive Table?,Common Issues About Hive,Compo",
+		"title":"Why Cannot the DROP operation Be Performed on a Backed-up Hive Table?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1755.html",
+		"product_code":"mrs",
+		"code":"338",
+		"des":"How to perform operations on local files (such as reading the content of a file) with Hive user-defined functions?By default, you can perform operations on local files wi",
+		"doc_type":"cmpntguide",
+		"kw":"How to Perform Operations on Local Files with Hive User-Defined Functions,Common Issues About Hive,C",
+		"title":"How to Perform Operations on Local Files with Hive User-Defined Functions",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1756.html",
+		"product_code":"mrs",
+		"code":"339",
+		"des":"How do I stop a MapReduce task manually if the task is suspended for a long time?",
+		"doc_type":"cmpntguide",
+		"kw":"How Do I Forcibly Stop MapReduce Jobs Executed by Hive?,Common Issues About Hive,Component Operation",
+		"title":"How Do I Forcibly Stop MapReduce Jobs Executed by Hive?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1758.html",
+		"product_code":"mrs",
+		"code":"340",
+		"des":"How do I monitor the Hive table size?The HDFS refined monitoring function allows you to monitor the size of a specified table directory.The Hive and HDFS components are r",
+		"doc_type":"cmpntguide",
+		"kw":"How Do I Monitor the Hive Table Size?,Common Issues About Hive,Component Operation Guide (Normal)",
+		"title":"How Do I Monitor the Hive Table Size?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1759.html",
+		"product_code":"mrs",
+		"code":"341",
+		"des":"How do I prevent key directories from data loss caused by misoperations of the insert overwrite statement?During monitoring of key Hive databases, tables, or directories,",
+		"doc_type":"cmpntguide",
+		"kw":"How Do I Prevent Key Directories from Data Loss Caused by Misoperations of the insert overwrite Stat",
+		"title":"How Do I Prevent Key Directories from Data Loss Caused by Misoperations of the insert overwrite Statement?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1760.html",
+		"product_code":"mrs",
+		"code":"342",
+		"des":"This function applies to Hive.Perform the following operations to configure parameters. When Hive on Spark tasks are executed in the environment where the HBase is not in",
+		"doc_type":"cmpntguide",
+		"kw":"Why Is Hive on Spark Task Freezing When HBase Is Not Installed?,Common Issues About Hive,Component O",
+		"title":"Why Is Hive on Spark Task Freezing When HBase Is Not Installed?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1761.html",
+		"product_code":"mrs",
+		"code":"343",
+		"des":"When a table with more than 32,000 partitions is created in Hive, an exception occurs during the query with the WHERE partition. In addition, the exception information pr",
+		"doc_type":"cmpntguide",
+		"kw":"Error Reported When the WHERE Condition Is Used to Query Tables with Excessive Partitions in FusionI",
+		"title":"Error Reported When the WHERE Condition Is Used to Query Tables with Excessive Partitions in FusionInsight Hive",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1762.html",
+		"product_code":"mrs",
+		"code":"344",
+		"des":"When users check the JDK version used by the client, if the JDK version is IBM JDK, the Beeline client needs to be reconstructed. Otherwise, the client will fail to conne",
+		"doc_type":"cmpntguide",
+		"kw":"Why Cannot I Connect to HiveServer When I Use IBM JDK to Access the Beeline Client?,Common Issues Ab",
+		"title":"Why Cannot I Connect to HiveServer When I Use IBM JDK to Access the Beeline Client?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1763.html",
+		"product_code":"mrs",
+		"code":"345",
+		"des":"Can Hive tables be stored in OBS or HDFS?The location of a common Hive table stored on OBS can be set to an HDFS path.In the same Hive service, you can create tables stor",
+		"doc_type":"cmpntguide",
+		"kw":"Description of Hive Table Location (Either Be an OBS or HDFS Path),Common Issues About Hive,Componen",
+		"title":"Description of Hive Table Location (Either Be an OBS or HDFS Path)",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2309.html",
+		"product_code":"mrs",
+		"code":"346",
+		"des":"Hive uses the Tez engine to execute union-related statements to write data. After Hive is switched to the MapReduce engine for query, no data is found.When Hive uses the ",
+		"doc_type":"cmpntguide",
+		"kw":"Why Cannot Data Be Queried After the MapReduce Engine Is Switched After the Tez Engine Is Used to Ex",
+		"title":"Why Cannot Data Be Queried After the MapReduce Engine Is Switched After the Tez Engine Is Used to Execute Union-related Statements?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2310.html",
+		"product_code":"mrs",
+		"code":"347",
+		"des":"Why Does Data Inconsistency Occur When Data Is Concurrently Written to a Hive Table Through an API?Hive does not support concurrent data insertion for the same table or p",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does Hive Not Support Concurrent Data Writing to the Same Table or Partition?,Common Issues Abou",
+		"title":"Why Does Hive Not Support Concurrent Data Writing to the Same Table or Partition?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2325.html",
+		"product_code":"mrs",
+		"code":"348",
+		"des":"When the vectorized parameterhive.vectorized.execution.enabled is set to true, why do some null pointers or type conversion exceptions occur occasionally when Hive on Tez",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does Hive Not Support Vectorized Query?,Common Issues About Hive,Component Operation Guide (Norm",
+		"title":"Why Does Hive Not Support Vectorized Query?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2343.html",
+		"product_code":"mrs",
+		"code":"349",
+		"des":"The HDFS data directory of the Hive table is deleted by mistake, but the metadata still exists. As a result, an error is reported during task execution.This is a exceptio",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does Metadata Still Exist When the HDFS Data Directory of the Hive Table Is Deleted by Mistake?,",
+		"title":"Why Does Metadata Still Exist When the HDFS Data Directory of the Hive Table Is Deleted by Mistake?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24482.html",
+		"product_code":"",
+		"code":"350",
+		"des":"How do I disable the logging function of Hive?cd/opt/Bigdata/clientsource bigdata_envIn security mode, run the following command to complete user authentication and log i",
+		"doc_type":"",
+		"kw":"How Do I Disable the Logging Function of Hive?,Common Issues About Hive,Component Operation Guide (N",
+		"title":"How Do I Disable the Logging Function of Hive?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24486.html",
+		"product_code":"",
+		"code":"351",
+		"des":"In the scenario where the fine-grained permission is configured for multiple MRS users to access OBS, after the permission for deleting Hive tables in the OBS directory i",
+		"doc_type":"",
+		"kw":"Why Hive Tables in the OBS Directory Fail to Be Deleted?,Common Issues About Hive,Component Operatio",
+		"title":"Why Hive Tables in the OBS Directory Fail to Be Deleted?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24117.html",
+		"product_code":"mrs",
+		"code":"352",
+		"des":"The error message \"java.lang.OutOfMemoryError: Java heap space.\" is displayed during Hive SQL execution.Solution:For MapReduce tasks, increase the values of the following",
+		"doc_type":"cmpntguide",
+		"kw":"Hive Configuration Problems,Common Issues About Hive,Component Operation Guide (Normal)",
+		"title":"Hive Configuration Problems",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24025.html",
+		"product_code":"mrs",
+		"code":"353",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using Hudi",
+		"title":"Using Hudi",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24033.html",
+		"product_code":"mrs",
+		"code":"354",
+		"des":"This section describes capabilities of Hudi using spark-shell. Using the Spark data source, this section describes how to insert and update a Hudi dataset of the default ",
+		"doc_type":"cmpntguide",
+		"kw":"Getting Started,Using Hudi,Component Operation Guide (Normal)",
+		"title":"Getting Started",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24062.html",
+		"product_code":"mrs",
+		"code":"355",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Basic Operations",
+		"title":"Basic Operations",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24103.html",
+		"product_code":"mrs",
+		"code":"356",
+		"des":"When writing data, Hudi generates a Hudi table based on attributes such as the storage path, table name, and partition structure.Hudi table data files can be stored in th",
+		"doc_type":"cmpntguide",
+		"kw":"Hudi Table Schema,Basic Operations,Component Operation Guide (Normal)",
+		"title":"Hudi Table Schema",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24034.html",
+		"product_code":"mrs",
+		"code":"357",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Write",
+		"title":"Write",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24035.html",
+		"product_code":"mrs",
+		"code":"358",
+		"des":"Hudi provides multiple write modes. For details, see the configuration item hoodie.datasource.write.operation. This section describes upsert, insert, and bulk_insert.inse",
+		"doc_type":"cmpntguide",
+		"kw":"Batch Write,Write,Component Operation Guide (Normal)",
+		"title":"Batch Write",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24064.html",
+		"product_code":"mrs",
+		"code":"359",
+		"des":"You can run run_hive_sync_tool.sh to synchronize data in the Hudi table to Hive.For example, run the following command to synchronize the Hudi table in the hdfs://haclust",
+		"doc_type":"cmpntguide",
+		"kw":"Synchronizing Hudi Table Data to Hive,Write,Component Operation Guide (Normal)",
+		"title":"Synchronizing Hudi Table Data to Hive",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24037.html",
+		"product_code":"mrs",
+		"code":"360",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Read",
+		"title":"Read",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24098.html",
+		"product_code":"mrs",
+		"code":"361",
+		"des":"Reading the real-time view (using Hive and SparkSQL as an example): Directly read the Hudi table stored in Hive.select count(*) from test;Reading the real-time view (usin",
+		"doc_type":"cmpntguide",
+		"kw":"Reading COW Table Views,Read,Component Operation Guide (Normal)",
+		"title":"Reading COW Table Views",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24099.html",
+		"product_code":"mrs",
+		"code":"362",
+		"des":"After the MOR table is synchronized to Hive, the following two tables are synchronized to Hive: Table name_rt and Table name_ro. The table suffixed with rt indicates the ",
+		"doc_type":"cmpntguide",
+		"kw":"Reading MOR Table Views,Read,Component Operation Guide (Normal)",
+		"title":"Reading MOR Table Views",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24038.html",
+		"product_code":"mrs",
+		"code":"363",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Data Management and Maintenance",
+		"title":"Data Management and Maintenance",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24088.html",
+		"product_code":"mrs",
+		"code":"364",
+		"des":"Clustering reorganizes data layout to improve query performance without affecting the ingestion speed.Hudi provides different operations, such as insert, upsert, and bulk",
+		"doc_type":"cmpntguide",
+		"kw":"Clustering,Data Management and Maintenance,Component Operation Guide (Normal)",
+		"title":"Clustering",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24089.html",
+		"product_code":"mrs",
+		"code":"365",
+		"des":"Cleaning is used to delete data of versions that are no longer required.Hudi uses the cleaner working in the background to continuously delete unnecessary data of old ver",
+		"doc_type":"cmpntguide",
+		"kw":"Cleaning,Data Management and Maintenance,Component Operation Guide (Normal)",
+		"title":"Cleaning",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24090.html",
+		"product_code":"mrs",
+		"code":"366",
+		"des":"A compaction merges base and log files of MOR tables.For MOR tables, data is stored in columnar Parquet files and row-based Avro files, updates are recorded in incrementa",
+		"doc_type":"cmpntguide",
+		"kw":"Compaction,Data Management and Maintenance,Component Operation Guide (Normal)",
+		"title":"Compaction",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24091.html",
+		"product_code":"mrs",
+		"code":"367",
+		"des":"Savepoints are used to save and restore data of the customized version.Savepoints provided by Hudi can save different commits so that the cleaner program does not delete ",
+		"doc_type":"cmpntguide",
+		"kw":"Savepoint,Data Management and Maintenance,Component Operation Guide (Normal)",
+		"title":"Savepoint",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24165.html",
+		"product_code":"mrs",
+		"code":"368",
+		"des":"Uses an external service (ZooKeeper or Hive MetaStore) as the distributed mutex lock service.Files can be concurrently written, but commits cannot be concurrent. The comm",
+		"doc_type":"cmpntguide",
+		"kw":"Single-Table Concurrent Write,Data Management and Maintenance,Component Operation Guide (Normal)",
+		"title":"Single-Table Concurrent Write",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24100.html",
+		"product_code":"mrs",
+		"code":"369",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using the Hudi Client",
+		"title":"Using the Hudi Client",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24063.html",
+		"product_code":"mrs",
+		"code":"370",
+		"des":"For a cluster with Kerberos authentication enabled, a user has been created on FusionInsight Manager of the cluster and associated with user groups hadoop and hive.The Hu",
+		"doc_type":"cmpntguide",
+		"kw":"Operating a Hudi Table Using hudi-cli.sh,Using the Hudi Client,Component Operation Guide (Normal)",
+		"title":"Operating a Hudi Table Using hudi-cli.sh",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24032.html",
+		"product_code":"mrs",
+		"code":"371",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Configuration Reference",
+		"title":"Configuration Reference",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24093.html",
+		"product_code":"mrs",
+		"code":"372",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Write Configuration,Configuration Reference,Component Operation Guide (Normal)",
+		"title":"Write Configuration",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24094.html",
+		"product_code":"mrs",
+		"code":"373",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Configuration of Hive Table Synchronization,Configuration Reference,Component Operation Guide (Norma",
+		"title":"Configuration of Hive Table Synchronization",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24095.html",
+		"product_code":"mrs",
+		"code":"374",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Index Configuration,Configuration Reference,Component Operation Guide (Normal)",
+		"title":"Index Configuration",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24096.html",
+		"product_code":"mrs",
+		"code":"375",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Storage Configuration,Configuration Reference,Component Operation Guide (Normal)",
+		"title":"Storage Configuration",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24097.html",
+		"product_code":"mrs",
+		"code":"376",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Compaction and Cleaning Configurations,Configuration Reference,Component Operation Guide (Normal)",
+		"title":"Compaction and Cleaning Configurations",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24167.html",
+		"product_code":"mrs",
+		"code":"377",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Single-Table Concurrent Write Configuration,Configuration Reference,Component Operation Guide (Norma",
+		"title":"Single-Table Concurrent Write Configuration",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24039.html",
+		"product_code":"mrs",
+		"code":"378",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Hudi Performance Tuning",
+		"title":"Hudi Performance Tuning",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24101.html",
+		"product_code":"mrs",
+		"code":"379",
+		"des":"In the current version, Spark is recommended for Hudi write operations. Therefore, the tuning methods of Hudi are similar to those of Spark. For details, see Spark2x Perf",
+		"doc_type":"cmpntguide",
+		"kw":"Performance Tuning Methods,Hudi Performance Tuning,Component Operation Guide (Normal)",
+		"title":"Performance Tuning Methods",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24102.html",
+		"product_code":"mrs",
+		"code":"380",
+		"des":"For MOR tables:The essence of MOR tables is to write incremental files, so the tuning is based on the data size (dataSize) of Hudi.If dataSize is only several GBs, you ar",
+		"doc_type":"cmpntguide",
+		"kw":"Recommended Resource Configuration,Hudi Performance Tuning,Component Operation Guide (Normal)",
+		"title":"Recommended Resource Configuration",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24065.html",
+		"product_code":"mrs",
+		"code":"381",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Common Issues About Hudi",
+		"title":"Common Issues About Hudi",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24070.html",
+		"product_code":"mrs",
+		"code":"382",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Data Write",
+		"title":"Data Write",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24071.html",
+		"product_code":"mrs",
+		"code":"383",
+		"des":"The following error is reported when data is written:You are advised to evolve schemas in backward compatible mode while using Hudi. This error usually occurs when you de",
+		"doc_type":"cmpntguide",
+		"kw":"Parquet/Avro schema Is Reported When Updated Data Is Written,Data Write,Component Operation Guide (N",
+		"title":"Parquet/Avro schema Is Reported When Updated Data Is Written",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24072.html",
+		"product_code":"mrs",
+		"code":"384",
+		"des":"The following error is reported when data is written:This error will occur again because schema evolutions are in non-backwards compatible mode. Basically, there is some ",
+		"doc_type":"cmpntguide",
+		"kw":"UnsupportedOperationException Is Reported When Updated Data Is Written,Data Write,Component Operatio",
+		"title":"UnsupportedOperationException Is Reported When Updated Data Is Written",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24073.html",
+		"product_code":"mrs",
+		"code":"385",
+		"des":"The following error is reported when data is written:This error may occur if a schema contains some non-nullable field whose value is not present or is null.You are advis",
+		"doc_type":"cmpntguide",
+		"kw":"SchemaCompatabilityException Is Reported When Updated Data Is Written,Data Write,Component Operation",
+		"title":"SchemaCompatabilityException Is Reported When Updated Data Is Written",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24074.html",
+		"product_code":"mrs",
+		"code":"386",
+		"des":"Hudi consumes much space in a temporary folder during upsert.Hudi will spill part of input data to disk if the maximum memory for merge is reached when much input data is",
+		"doc_type":"cmpntguide",
+		"kw":"What Should I Do If Hudi Consumes Much Space in a Temporary Folder During Upsert?,Data Write,Compone",
+		"title":"What Should I Do If Hudi Consumes Much Space in a Temporary Folder During Upsert?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24504.html",
+		"product_code":"",
+		"code":"387",
+		"des":"Decimal data is initially written to a Hudi table using the BULK_INSERT command. Then when data is subsequently written using UPSERT, the following error is reported:Caus",
+		"doc_type":"",
+		"kw":"Hudi Fails to Write Decimal Data with Lower Precision,Data Write,Component Operation Guide (Normal)",
+		"title":"Hudi Fails to Write Decimal Data with Lower Precision",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24075.html",
+		"product_code":"mrs",
+		"code":"388",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Data Collection",
+		"title":"Data Collection",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24077.html",
+		"product_code":"mrs",
+		"code":"389",
+		"des":"The error \"org.apache.kafka.common.KafkaException: Failed to construct kafka consumer\" is reported in the main thread, and the following error is reported.This error may ",
+		"doc_type":"cmpntguide",
+		"kw":"IllegalArgumentException Is Reported When Kafka Is Used to Collect Data,Data Collection,Component Op",
+		"title":"IllegalArgumentException Is Reported When Kafka Is Used to Collect Data",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24078.html",
+		"product_code":"mrs",
+		"code":"390",
+		"des":"The following error is reported when data is collected:This error usually occurs when a field marked as recordKey or partitionKey is not present in the input record. Cros",
+		"doc_type":"cmpntguide",
+		"kw":"HoodieException Is Reported When Data Is Collected,Data Collection,Component Operation Guide (Normal",
+		"title":"HoodieException Is Reported When Data Is Collected",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24079.html",
+		"product_code":"mrs",
+		"code":"391",
+		"des":"Is it possible to use a nullable field that contains null records as a primary key when creating a Hudi table?No. HoodieKeyException will be thrown.",
+		"doc_type":"cmpntguide",
+		"kw":"HoodieKeyException Is Reported When Data Is Collected,Data Collection,Component Operation Guide (Nor",
+		"title":"HoodieKeyException Is Reported When Data Is Collected",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24080.html",
+		"product_code":"mrs",
+		"code":"392",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Hive Synchronization",
+		"title":"Hive Synchronization",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24081.html",
+		"product_code":"mrs",
+		"code":"393",
+		"des":"The following error is reported during Hive data synchronization:This error usually occurs when you try to add a new column to an existing Hive table using the HiveSyncTo",
+		"doc_type":"cmpntguide",
+		"kw":"SQLException Is Reported During Hive Data Synchronization,Hive Synchronization,Component Operation G",
+		"title":"SQLException Is Reported During Hive Data Synchronization",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24082.html",
+		"product_code":"mrs",
+		"code":"394",
+		"des":"The following error is reported during Hive data synchronization:This error occurs because HiveSyncTool currently supports only few compatible data type conversions. The ",
+		"doc_type":"cmpntguide",
+		"kw":"HoodieHiveSyncException Is Reported During Hive Data Synchronization,Hive Synchronization,Component ",
+		"title":"HoodieHiveSyncException Is Reported During Hive Data Synchronization",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24083.html",
+		"product_code":"mrs",
+		"code":"395",
+		"des":"The following error is reported during Hive data synchronization:This error usually occurs when Hive synchronization is performed on the Hudi dataset but the configured h",
+		"doc_type":"cmpntguide",
+		"kw":"SemanticException Is Reported During Hive Data Synchronization,Hive Synchronization,Component Operat",
+		"title":"SemanticException Is Reported During Hive Data Synchronization",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0369.html",
+		"product_code":"mrs",
+		"code":"396",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using Hue (Versions Earlier Than MRS 3.x)",
+		"title":"Using Hue (Versions Earlier Than MRS 3.x)",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1020.html",
+		"product_code":"mrs",
+		"code":"397",
+		"des":"Hue provides the file browser function using a graphical user interface (GUI) so that you can view files and directories on Hive.You have installed Hive and Hue, and the ",
+		"doc_type":"cmpntguide",
+		"kw":"Using Hue from Scratch,Using Hue (Versions Earlier Than MRS 3.x),Component Operation Guide (Normal)",
+		"title":"Using Hue from Scratch",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0370.html",
+		"product_code":"mrs",
+		"code":"398",
+		"des":"After Hue is installed in an MRS cluster, users can use Hadoop and Hive on the Hue web UI.For versions earlier than MRS 1.9.2, MRS clusters with Kerberos authentication e",
+		"doc_type":"cmpntguide",
+		"kw":"Accessing the Hue Web UI,Using Hue (Versions Earlier Than MRS 3.x),Component Operation Guide (Normal",
+		"title":"Accessing the Hue Web UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1021.html",
+		"product_code":"mrs",
+		"code":"399",
+		"des":"For details about how to set parameters, see Modifying Cluster Service Configuration Parameters.",
+		"doc_type":"cmpntguide",
+		"kw":"Hue Common Parameters,Using Hue (Versions Earlier Than MRS 3.x),Component Operation Guide (Normal)",
+		"title":"Hue Common Parameters",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0371.html",
+		"product_code":"mrs",
+		"code":"400",
+		"des":"Users can use the Hue web UI to execute HiveQL statements in a cluster.For versions earlier than MRS 1.9.2, MRS clusters with Kerberos authentication enabled support this",
+		"doc_type":"cmpntguide",
+		"kw":"Using HiveQL Editor on the Hue Web UI,Using Hue (Versions Earlier Than MRS 3.x),Component Operation ",
+		"title":"Using HiveQL Editor on the Hue Web UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0372.html",
+		"product_code":"mrs",
+		"code":"401",
+		"des":"Users can use the Hue web UI to manage Hive metadata in an MRS cluster.For versions earlier than MRS 1.9.2, MRS clusters with Kerberos authentication enabled support this",
+		"doc_type":"cmpntguide",
+		"kw":"Using the Metadata Browser on the Hue Web UI,Using Hue (Versions Earlier Than MRS 3.x),Component Ope",
+		"title":"Using the Metadata Browser on the Hue Web UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0373.html",
+		"product_code":"mrs",
+		"code":"402",
+		"des":"Users can use the Hue web UI to manage files in HDFS in a cluster.For versions earlier than MRS 1.9.2, MRS clusters with Kerberos authentication enabled support this func",
+		"doc_type":"cmpntguide",
+		"kw":"Using File Browser on the Hue Web UI,Using Hue (Versions Earlier Than MRS 3.x),Component Operation G",
+		"title":"Using File Browser on the Hue Web UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0374.html",
+		"product_code":"mrs",
+		"code":"403",
+		"des":"You can use the Hue web UI to query all jobs in the cluster.For versions earlier than MRS 1.9.2, MRS clusters with Kerberos authentication enabled support this function.V",
+		"doc_type":"cmpntguide",
+		"kw":"Using Job Browser on the Hue Web UI,Using Hue (Versions Earlier Than MRS 3.x),Component Operation Gu",
+		"title":"Using Job Browser on the Hue Web UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0130.html",
+		"product_code":"mrs",
+		"code":"404",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using Hue (MRS 3.x or Later)",
+		"title":"Using Hue (MRS 3.x or Later)",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0131.html",
+		"product_code":"mrs",
+		"code":"405",
+		"des":"Hue aggregates interfaces which interact with most Apache Hadoop components and enables you to use Hadoop components with ease on a web UI. You can operate components suc",
+		"doc_type":"cmpntguide",
+		"kw":"Using Hue from Scratch,Using Hue (MRS 3.x or Later),Component Operation Guide (Normal)",
+		"title":"Using Hue from Scratch",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0132.html",
+		"product_code":"mrs",
+		"code":"406",
+		"des":"After Hue is installed in an MRS cluster, users can use Hadoop-related components on the Hue web UI.This section describes how to open the Hue web UI on the MRS cluster.T",
+		"doc_type":"cmpntguide",
+		"kw":"Accessing the Hue Web UI,Using Hue (MRS 3.x or Later),Component Operation Guide (Normal)",
+		"title":"Accessing the Hue Web UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0133.html",
+		"product_code":"mrs",
+		"code":"407",
+		"des":"Go to the All Configurations page of the Hue service by referring to Modifying Cluster Service Configuration Parameters.For details about Hue common parameters, see Table",
+		"doc_type":"cmpntguide",
+		"kw":"Hue Common Parameters,Using Hue (MRS 3.x or Later),Component Operation Guide (Normal)",
+		"title":"Hue Common Parameters",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0134.html",
+		"product_code":"mrs",
+		"code":"408",
+		"des":"Users can use the Hue web UI to execute HiveQL statements in an MRS cluster.Hive supports the following functions:Executes and manages HiveQL statements.Views the HiveQL ",
+		"doc_type":"cmpntguide",
+		"kw":"Using HiveQL Editor on the Hue Web UI,Using Hue (MRS 3.x or Later),Component Operation Guide (Normal",
+		"title":"Using HiveQL Editor on the Hue Web UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2370.html",
+		"product_code":"mrs",
+		"code":"409",
+		"des":"You can use Hue to execute SparkSql statements in a cluster on a graphical user interface (GUI).Before using the SparkSql editor, you need to modify the Spark2x configura",
+		"doc_type":"cmpntguide",
+		"kw":"Using the SparkSql Editor on the Hue Web UI,Using Hue (MRS 3.x or Later),Component Operation Guide (",
+		"title":"Using the SparkSql Editor on the Hue Web UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0135.html",
+		"product_code":"mrs",
+		"code":"410",
+		"des":"Users can use the Hue web UI to manage Hive metadata in an MRS cluster.Access the Hue web UI. For details, see Accessing the Hue Web UI.Viewing metadata of Hive tablesCli",
+		"doc_type":"cmpntguide",
+		"kw":"Using the Metadata Browser on the Hue Web UI,Using Hue (MRS 3.x or Later),Component Operation Guide ",
+		"title":"Using the Metadata Browser on the Hue Web UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0136.html",
+		"product_code":"mrs",
+		"code":"411",
+		"des":"Users can use the Hue web UI to manage files in HDFS.The Hue page is used to view and analyze data such as files and tables. Do not perform high-risk management operation",
+		"doc_type":"cmpntguide",
+		"kw":"Using File Browser on the Hue Web UI,Using Hue (MRS 3.x or Later),Component Operation Guide (Normal)",
+		"title":"Using File Browser on the Hue Web UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0137.html",
+		"product_code":"mrs",
+		"code":"412",
+		"des":"Users can use the Hue web UI to query all jobs in an MRS cluster.View the jobs in the current cluster.The number on Job Browser indicates the total number of jobs in the ",
+		"doc_type":"cmpntguide",
+		"kw":"Using Job Browser on the Hue Web UI,Using Hue (MRS 3.x or Later),Component Operation Guide (Normal)",
+		"title":"Using Job Browser on the Hue Web UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2371.html",
+		"product_code":"mrs",
+		"code":"413",
+		"des":"You can use Hue to create or query HBase tables in a cluster and run tasks on the Hue web UI.Make sure that the HBase component has been installed in the MRS cluster and ",
+		"doc_type":"cmpntguide",
+		"kw":"Using HBase on the Hue Web UI,Using Hue (MRS 3.x or Later),Component Operation Guide (Normal)",
+		"title":"Using HBase on the Hue Web UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0138.html",
+		"product_code":"mrs",
+		"code":"414",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Typical Scenarios",
+		"title":"Typical Scenarios",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0139.html",
+		"product_code":"mrs",
+		"code":"415",
+		"des":"Hue provides the file browser function for users to use HDFS in GUI mode.The Hue page is used to view and analyze data such as files and tables. Do not perform high-risk ",
+		"doc_type":"cmpntguide",
+		"kw":"HDFS on Hue,Typical Scenarios,Component Operation Guide (Normal)",
+		"title":"HDFS on Hue",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0141.html",
+		"product_code":"mrs",
+		"code":"416",
+		"des":"Hue provides the Hive GUI management function so that users can query Hive data in GUI mode.Access the Hue web UI. For details, see Accessing the Hue Web UI.In the naviga",
+		"doc_type":"cmpntguide",
+		"kw":"Hive on Hue,Typical Scenarios,Component Operation Guide (Normal)",
+		"title":"Hive on Hue",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0144.html",
+		"product_code":"mrs",
+		"code":"417",
+		"des":"Hue provides the Oozie job manager function, in this case, you can use Oozie in GUI mode.The Hue page is used to view and analyze data such as files and tables. Do not pe",
+		"doc_type":"cmpntguide",
+		"kw":"Oozie on Hue,Typical Scenarios,Component Operation Guide (Normal)",
+		"title":"Oozie on Hue",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0147.html",
+		"product_code":"mrs",
+		"code":"418",
+		"des":"Log paths: The default paths of Hue logs are /var/log/Bigdata/hue (for storing run logs) and /var/log/Bigdata/audit/hue (for storing audit logs).Log archive rules: The au",
+		"doc_type":"cmpntguide",
+		"kw":"Hue Log Overview,Using Hue (MRS 3.x or Later),Component Operation Guide (Normal)",
+		"title":"Hue Log Overview",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1764.html",
+		"product_code":"mrs",
+		"code":"419",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Common Issues About Hue",
+		"title":"Common Issues About Hue",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1765.html",
+		"product_code":"mrs",
+		"code":"420",
+		"des":"What do I do if all HQL statements fail to be executed when I use Internet Explorer to access Hive Editor in Hue and the message \"There was an error with your query\" is d",
+		"doc_type":"cmpntguide",
+		"kw":"How Do I Solve the Problem that HQL Fails to Be Executed in Hue Using Internet Explorer?,Common Issu",
+		"title":"How Do I Solve the Problem that HQL Fails to Be Executed in Hue Using Internet Explorer?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1766.html",
+		"product_code":"mrs",
+		"code":"421",
+		"des":"When Hive is used, the use database statement is entered in the text box to switch the database, and other statements are also entered, why does the database fail to be s",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does the use database Statement Become Invalid When Hive Is Used?,Common Issues About Hue,Compon",
+		"title":"Why Does the use database Statement Become Invalid When Hive Is Used?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0156.html",
+		"product_code":"mrs",
+		"code":"422",
+		"des":"What can I do if an error message shown in the following figure is displayed, indicating that the HDFS file cannot be accessed when I use Hue web UI to access the HDFS fi",
+		"doc_type":"cmpntguide",
+		"kw":"What Can I Do If HDFS Files Fail to Be Accessed Using Hue WebUI?,Common Issues About Hue,Component O",
+		"title":"What Can I Do If HDFS Files Fail to Be Accessed Using Hue WebUI?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2367.html",
+		"product_code":"mrs",
+		"code":"423",
+		"des":"What can I do when a large file fails to be uploaded on the Hue page?You are advised to run commands on the client to upload large files instead of using the Hue file bro",
+		"doc_type":"cmpntguide",
+		"kw":"How Do I Do If a Large File Fails to Upload on the Hue Page?,Common Issues About Hue,Component Opera",
+		"title":"How Do I Do If a Large File Fails to Upload on the Hue Page?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2368.html",
+		"product_code":"mrs",
+		"code":"424",
+		"des":"Why is the native Hue page blank if the Hive service is not installed in a cluster?In MRS 3.x, Hue depends on Hive. If this problem occurs, check whether the Hive compone",
+		"doc_type":"cmpntguide",
+		"kw":"Why Is the Hue Native Page Cannot Be Properly Displayed If the Hive Service Is Not Installed in a Cl",
+		"title":"Why Is the Hue Native Page Cannot Be Properly Displayed If the Hive Service Is Not Installed in a Cluster?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0375.html",
+		"product_code":"mrs",
+		"code":"425",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using Kafka",
+		"title":"Using Kafka",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1031.html",
+		"product_code":"mrs",
+		"code":"426",
+		"des":"You can create, query, and delete topics on a cluster client.The client has been installed. For example, the client is installed in the /opt/hadoopclient directory. The c",
+		"doc_type":"cmpntguide",
+		"kw":"Using Kafka from Scratch,Using Kafka,Component Operation Guide (Normal)",
+		"title":"Using Kafka from Scratch",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0376.html",
+		"product_code":"mrs",
+		"code":"427",
+		"des":"You can manage Kafka topics on a cluster client based on service requirements. Management permission is required for clusters with Kerberos authentication enabled.You hav",
+		"doc_type":"cmpntguide",
+		"kw":"Managing Kafka Topics,Using Kafka,Component Operation Guide (Normal)",
+		"title":"Managing Kafka Topics",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0377.html",
+		"product_code":"mrs",
+		"code":"428",
+		"des":"You can query existing Kafka topics on MRS.For versions earlier than MRS 1.9.2, log in to MRS Manager and choose Services > Kafka.For MRS 1.9.2 or later, click the cluste",
+		"doc_type":"cmpntguide",
+		"kw":"Querying Kafka Topics,Using Kafka,Component Operation Guide (Normal)",
+		"title":"Querying Kafka Topics",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0378.html",
+		"product_code":"mrs",
+		"code":"429",
+		"des":"For clusters with Kerberos authentication enabled, using Kafka requires relevant permissions. MRS clusters can grant the use permission of Kafka to different users.Table ",
+		"doc_type":"cmpntguide",
+		"kw":"Managing Kafka User Permissions,Using Kafka,Component Operation Guide (Normal)",
+		"title":"Managing Kafka User Permissions",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0379.html",
+		"product_code":"mrs",
+		"code":"430",
+		"des":"You can produce or consume messages in Kafka topics using the MRS cluster client. For clusters with Kerberos authentication enabled, you must have the permission to perfo",
+		"doc_type":"cmpntguide",
+		"kw":"Managing Messages in Kafka Topics,Using Kafka,Component Operation Guide (Normal)",
+		"title":"Managing Messages in Kafka Topics",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0441.html",
+		"product_code":"mrs",
+		"code":"431",
+		"des":"This section describes how to use the Maxwell data synchronization tool to migrate offline binlog-based data to an MRS Kafka cluster.Maxwell is an open source application",
+		"doc_type":"cmpntguide",
+		"kw":"Synchronizing Binlog-based MySQL Data to the MRS Cluster,Using Kafka,Component Operation Guide (Norm",
+		"title":"Synchronizing Binlog-based MySQL Data to the MRS Cluster",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1032.html",
+		"product_code":"mrs",
+		"code":"432",
+		"des":"This section describes how to create and configure a Kafka role.This section applies to MRS 3.x or later.Users can create Kafka roles only in security mode.If the current",
+		"doc_type":"cmpntguide",
+		"kw":"Creating a Kafka Role,Using Kafka,Component Operation Guide (Normal)",
+		"title":"Creating a Kafka Role",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1033.html",
+		"product_code":"mrs",
+		"code":"433",
+		"des":"This section applies to MRS 3.x or later.For details about how to set parameters, see Modifying Cluster Service Configuration Parameters.",
+		"doc_type":"cmpntguide",
+		"kw":"Kafka Common Parameters,Using Kafka,Component Operation Guide (Normal)",
+		"title":"Kafka Common Parameters",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1035.html",
+		"product_code":"mrs",
+		"code":"434",
+		"des":"This section applies to MRS 3.x or later.Producer APIIndicates the API defined in org.apache.kafka.clients.producer.KafkaProducer. When kafka-console-producer.sh is used,",
+		"doc_type":"cmpntguide",
+		"kw":"Safety Instructions on Using Kafka,Using Kafka,Component Operation Guide (Normal)",
+		"title":"Safety Instructions on Using Kafka",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1036.html",
+		"product_code":"mrs",
+		"code":"435",
+		"des":"This section applies to MRS 3.x or later.The maximum number of topics depends on the number of file handles (mainly used by data and index files on site) opened in the pr",
+		"doc_type":"cmpntguide",
+		"kw":"Kafka Specifications,Using Kafka,Component Operation Guide (Normal)",
+		"title":"Kafka Specifications",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1767.html",
+		"product_code":"mrs",
+		"code":"436",
+		"des":"This section guides users to use a Kafka client in an O&M or service scenario.This section applies to MRS 3.x or later clusters.The client has been installed. For example",
+		"doc_type":"cmpntguide",
+		"kw":"Using the Kafka Client,Using Kafka,Component Operation Guide (Normal)",
+		"title":"Using the Kafka Client",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1037.html",
+		"product_code":"mrs",
+		"code":"437",
+		"des":"For the Kafka message transmission assurance mechanism, different parameters are available for meeting different performance and reliability requirements. This section de",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Kafka HA and High Reliability Parameters,Using Kafka,Component Operation Guide (Normal)",
+		"title":"Configuring Kafka HA and High Reliability Parameters",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1038.html",
+		"product_code":"mrs",
+		"code":"438",
+		"des":"This section applies to MRS 3.x or later.When a broker storage directory is added, the system administrator needs to change the broker storage directory on FusionInsight ",
+		"doc_type":"cmpntguide",
+		"kw":"Changing the Broker Storage Directory,Using Kafka,Component Operation Guide (Normal)",
+		"title":"Changing the Broker Storage Directory",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1039.html",
+		"product_code":"mrs",
+		"code":"439",
+		"des":"This section describes how to view the current expenditure on the client based on service requirements.This section applies to MRS 3.x or later.The system administrator h",
+		"doc_type":"cmpntguide",
+		"kw":"Checking the Consumption Status of Consumer Group,Using Kafka,Component Operation Guide (Normal)",
+		"title":"Checking the Consumption Status of Consumer Group",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1040.html",
+		"product_code":"mrs",
+		"code":"440",
+		"des":"This section describes how to use the Kafka balancing tool on a client to balance the load of the Kafka cluster based on service requirements in scenarios such as node de",
+		"doc_type":"cmpntguide",
+		"kw":"Kafka Balancing Tool Instructions,Using Kafka,Component Operation Guide (Normal)",
+		"title":"Kafka Balancing Tool Instructions",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24299.html",
+		"product_code":"",
+		"code":"441",
+		"des":"This section describes how to use the Kafka balancing tool on the client to balance the load of the Kafka cluster after Kafka nodes are scaled out.This section applies to",
+		"doc_type":"",
+		"kw":"Balancing Data After Kafka Node Scale-Out,Using Kafka,Component Operation Guide (Normal)",
+		"title":"Balancing Data After Kafka Node Scale-Out",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1041.html",
+		"product_code":"mrs",
+		"code":"442",
+		"des":"Operations need to be performed on tokens when the token authentication mechanism is used.This section applies to security clusters of MRS 3.x or later.The system adminis",
+		"doc_type":"cmpntguide",
+		"kw":"Kafka Token Authentication Mechanism Tool Usage,Using Kafka,Component Operation Guide (Normal)",
+		"title":"Kafka Token Authentication Mechanism Tool Usage",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1042.html",
+		"product_code":"mrs",
+		"code":"443",
+		"des":"This section applies to MRS 3.x or later.Log paths: The default storage path of Kafka logs is /var/log/Bigdata/kafka. The default storage path of audit logs is /var/log/B",
+		"doc_type":"cmpntguide",
+		"kw":"Introduction to Kafka Logs,Using Kafka,Component Operation Guide (Normal)",
+		"title":"Introduction to Kafka Logs",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1043.html",
+		"product_code":"mrs",
+		"code":"444",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Performance Tuning",
+		"title":"Performance Tuning",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1044.html",
+		"product_code":"mrs",
+		"code":"445",
+		"des":"You can modify Kafka server parameters to improve Kafka processing capabilities in specific service scenarios.Modify the service configuration parameters. For details, se",
+		"doc_type":"cmpntguide",
+		"kw":"Kafka Performance Tuning,Performance Tuning,Component Operation Guide (Normal)",
+		"title":"Kafka Performance Tuning",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2312.html",
+		"product_code":"mrs",
+		"code":"446",
+		"des":"Feature description: The function of creating idempotent producers is introduced in Kafka 0.11.0.0. After this function is enabled, producers are automatically upgraded t",
+		"doc_type":"cmpntguide",
+		"kw":"Kafka Feature Description,Using Kafka,Component Operation Guide (Normal)",
+		"title":"Kafka Feature Description",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24534.html",
+		"product_code":"",
+		"code":"447",
+		"des":"This section describes how to use Kafka client commands to migrate partition data between disks on a node without stopping the Kafka service.The system administrator has ",
+		"doc_type":"",
+		"kw":"Migrating Data Between Kafka Nodes,Using Kafka,Component Operation Guide (Normal)",
+		"title":"Migrating Data Between Kafka Nodes",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1768.html",
+		"product_code":"mrs",
+		"code":"448",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Common Issues About Kafka",
+		"title":"Common Issues About Kafka",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1769.html",
+		"product_code":"mrs",
+		"code":"449",
+		"des":"How do I delete a Kafka topic if it fails to be deleted?Possible cause 1: The delete.topic.enable configuration item is not set to true. The deletion can be performed onl",
+		"doc_type":"cmpntguide",
+		"kw":"How Do I Solve the Problem that Kafka Topics Cannot Be Deleted?,Common Issues About Kafka,Component ",
+		"title":"How Do I Solve the Problem that Kafka Topics Cannot Be Deleted?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0435.html",
+		"product_code":"mrs",
+		"code":"450",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using KafkaManager",
+		"title":"Using KafkaManager",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0436.html",
+		"product_code":"mrs",
+		"code":"451",
+		"des":"KafkaManager is a tool for managing Apache Kafka and provides GUI-based metric monitoring and management of Kafka clusters. This section applies to MRS 1.9.2 clusters.Kaf",
+		"doc_type":"cmpntguide",
+		"kw":"Introduction to KafkaManager,Using KafkaManager,Component Operation Guide (Normal)",
+		"title":"Introduction to KafkaManager",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0437.html",
+		"product_code":"mrs",
+		"code":"452",
+		"des":"You can monitor and manage Kafka clusters on the graphical KafkaManager web UI.This section applies to MRS 1.9.2 clusters.KafkaManager has been installed in a cluster.The",
+		"doc_type":"cmpntguide",
+		"kw":"Accessing the KafkaManager Web UI,Using KafkaManager,Component Operation Guide (Normal)",
+		"title":"Accessing the KafkaManager Web UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0438.html",
+		"product_code":"mrs",
+		"code":"453",
+		"des":"This section applies to MRS 1.9.2 clusters.Kafka cluster management includes the following operations:Adding a Cluster on the KafkaManager Web UIUpdating Cluster Paramete",
+		"doc_type":"cmpntguide",
+		"kw":"Managing Kafka Clusters,Using KafkaManager,Component Operation Guide (Normal)",
+		"title":"Managing Kafka Clusters",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0439.html",
+		"product_code":"mrs",
+		"code":"454",
+		"des":"This section applies to MRS 1.9.2 clusters.The Kafka cluster monitoring management includes the following operations:Viewing Broker InformationViewing Topic InformationVi",
+		"doc_type":"cmpntguide",
+		"kw":"Kafka Cluster Monitoring Management,Using KafkaManager,Component Operation Guide (Normal)",
+		"title":"Kafka Cluster Monitoring Management",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0400.html",
+		"product_code":"mrs",
+		"code":"455",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using Loader",
+		"title":"Using Loader",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1084.html",
+		"product_code":"mrs",
+		"code":"456",
+		"des":"You can use Loader to import data from the SFTP server to HDFS.This section applies to MRS clusters earlier than 3.x.You have prepared service data.You have created an an",
+		"doc_type":"cmpntguide",
+		"kw":"Using Loader from Scratch,Using Loader,Component Operation Guide (Normal)",
+		"title":"Using Loader from Scratch",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0401.html",
+		"product_code":"mrs",
+		"code":"457",
+		"des":"This section applies to MRS clusters earlier than 3.x.The process for migrating user data with Loader is as follows:Access the Loader page of the Hue web UI.Manage Loader",
+		"doc_type":"cmpntguide",
+		"kw":"How to Use Loader,Using Loader,Component Operation Guide (Normal)",
+		"title":"How to Use Loader",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0402.html",
+		"product_code":"mrs",
+		"code":"458",
+		"des":"This section applies to versions earlier than MRS 3.x.Loader supports the following links. This section describes configurations of each link.obs-connectorgeneric-jdbc-co",
+		"doc_type":"cmpntguide",
+		"kw":"Loader Link Configuration,Using Loader,Component Operation Guide (Normal)",
+		"title":"Loader Link Configuration",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0403.html",
+		"product_code":"mrs",
+		"code":"459",
+		"des":"You can create, view, edit, and delete links on the Loader page.This section applies to versions earlier than MRS 3.x.You have accessed the Loader page. For details, see ",
+		"doc_type":"cmpntguide",
+		"kw":"Managing Loader Links (Versions Earlier Than MRS 3.x),Using Loader,Component Operation Guide (Normal",
+		"title":"Managing Loader Links (Versions Earlier Than MRS 3.x)",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0404.html",
+		"product_code":"mrs",
+		"code":"460",
+		"des":"When Loader jobs obtain data from different data sources, a link corresponding to a data source type needs to be selected and the link properties need to be configured.Th",
+		"doc_type":"cmpntguide",
+		"kw":"Source Link Configurations of Loader Jobs,Using Loader,Component Operation Guide (Normal)",
+		"title":"Source Link Configurations of Loader Jobs",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0405.html",
+		"product_code":"mrs",
+		"code":"461",
+		"des":"When Loader jobs save data to different storage locations, a destination link needs to be selected and the link properties need to be configured.",
+		"doc_type":"cmpntguide",
+		"kw":"Destination Link Configurations of Loader Jobs,Using Loader,Component Operation Guide (Normal)",
+		"title":"Destination Link Configurations of Loader Jobs",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0406.html",
+		"product_code":"mrs",
+		"code":"462",
+		"des":"You can create, view, edit, and delete jobs on the Loader page.This section applies to versions earlier than MRS 3.x.You have accessed the Loader page. For details, see L",
+		"doc_type":"cmpntguide",
+		"kw":"Managing Loader Jobs,Using Loader,Component Operation Guide (Normal)",
+		"title":"Managing Loader Jobs",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0407.html",
+		"product_code":"mrs",
+		"code":"463",
+		"des":"As a component for batch data export, Loader can import and export data using a relational database.You have prepared service data.Procedure for MRS clusters earlier than",
+		"doc_type":"cmpntguide",
+		"kw":"Preparing a Driver for MySQL Database Link,Using Loader,Component Operation Guide (Normal)",
+		"title":"Preparing a Driver for MySQL Database Link",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1165.html",
+		"product_code":"mrs",
+		"code":"464",
+		"des":"Log path: The default storage path of Loader log files is /var/log/Bigdata/loader/Log category.runlog: /var/log/Bigdata/loader/runlog (run logs)scriptlog: /var/log/Bigdat",
+		"doc_type":"cmpntguide",
+		"kw":"Loader Log Overview,Using Loader,Component Operation Guide (Normal)",
+		"title":"Loader Log Overview",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0408.html",
+		"product_code":"mrs",
+		"code":"465",
+		"des":"If you need to import a large volume of data from the external cluster to the internal cluster, import it from OBS to HDFS.You have prepared service data.You have created",
+		"doc_type":"cmpntguide",
+		"kw":"Example: Using Loader to Import Data from OBS to HDFS,Using Loader,Component Operation Guide (Normal",
+		"title":"Example: Using Loader to Import Data from OBS to HDFS",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1785.html",
+		"product_code":"mrs",
+		"code":"466",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Common Issues About Loader",
+		"title":"Common Issues About Loader",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1786.html",
+		"product_code":"mrs",
+		"code":"467",
+		"des":"Internet Explorer 11 or Internet Explorer 10 is used to access the web UI of Loader. After data is submitted, an error occurs.SymptomWhen the submitted data is saved, a s",
+		"doc_type":"cmpntguide",
+		"kw":"How to Resolve the Problem that Failed to Save Data When Using Internet Explorer 10 or Internet Expl",
+		"title":"How to Resolve the Problem that Failed to Save Data When Using Internet Explorer 10 or Internet Explorer 11 ?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1787.html",
+		"product_code":"mrs",
+		"code":"468",
+		"des":"Three types of connectors are available for importing data from the Oracle database to HDFS using Loader. That is, generic-jdbc-connector, oracle-connector, and oracle-pa",
+		"doc_type":"cmpntguide",
+		"kw":"Differences Among Connectors Used During the Process of Importing Data from the Oracle Database to H",
+		"title":"Differences Among Connectors Used During the Process of Importing Data from the Oracle Database to HDFS",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0834.html",
+		"product_code":"mrs",
+		"code":"469",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using MapReduce",
+		"title":"Using MapReduce",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0836.html",
+		"product_code":"mrs",
+		"code":"470",
+		"des":"Job and task logs are generated during execution of a MapReduce application.Job logs are generated by the MRApplicationMaster, which record details about the start and ru",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring the Log Archiving and Clearing Mechanism,Using MapReduce,Component Operation Guide (Norm",
+		"title":"Configuring the Log Archiving and Clearing Mechanism",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0837.html",
+		"product_code":"mrs",
+		"code":"471",
+		"des":"When the network is unstable or the cluster I/O and CPU are overloaded, client applications might encounter running failures.Adjust the following parameters in the mapred",
+		"doc_type":"cmpntguide",
+		"kw":"Reducing Client Application Failure Rate,Using MapReduce,Component Operation Guide (Normal)",
+		"title":"Reducing Client Application Failure Rate",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0838.html",
+		"product_code":"mrs",
+		"code":"472",
+		"des":"If you want to transmit a job from Windows to Linux, set mapreduce.app-submission.cross-platform to true. If this parameter is unavailable for a cluster or its value is f",
+		"doc_type":"cmpntguide",
+		"kw":"Transmitting MapReduce Tasks from Windows to Linux,Using MapReduce,Component Operation Guide (Normal",
+		"title":"Transmitting MapReduce Tasks from Windows to Linux",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0839.html",
+		"product_code":"mrs",
+		"code":"473",
+		"des":"This section applies to MRS 3.x or later.Distributed caching is useful in the following scenarios:Rolling UpgradeDuring the upgrade, applications must keep the text conte",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring the Distributed Cache,Using MapReduce,Component Operation Guide (Normal)",
+		"title":"Configuring the Distributed Cache",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0840.html",
+		"product_code":"mrs",
+		"code":"474",
+		"des":"When the MapReduce shuffle service is started, it attempts to bind an IP address based on local host. If the MapReduce shuffle service is required to connect to a specifi",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring the MapReduce Shuffle Address,Using MapReduce,Component Operation Guide (Normal)",
+		"title":"Configuring the MapReduce Shuffle Address",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0841.html",
+		"product_code":"mrs",
+		"code":"475",
+		"des":"This function is used to specify the MapReduce cluster administrator.The systemadministrator list is specified by mapreduce.cluster.administrators. The cluster administra",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring the Cluster Administrator List,Using MapReduce,Component Operation Guide (Normal)",
+		"title":"Configuring the Cluster Administrator List",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0842.html",
+		"product_code":"mrs",
+		"code":"476",
+		"des":"Log paths:JobhistoryServer: /var/log/Bigdata/mapreduce/jobhistory (run log) and /var/log/Bigdata/audit/mapreduce/jobhistory (audit log)Container: /srv/BigData/hadoop/data",
+		"doc_type":"cmpntguide",
+		"kw":"Introduction to MapReduce Logs,Using MapReduce,Component Operation Guide (Normal)",
+		"title":"Introduction to MapReduce Logs",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0843.html",
+		"product_code":"mrs",
+		"code":"477",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"MapReduce Performance Tuning",
+		"title":"MapReduce Performance Tuning",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0844.html",
+		"product_code":"mrs",
+		"code":"478",
+		"des":"Optimization can be performed when the number of CPU cores is large, for example, the number of CPU cores is three times the number of disks.You can set the following par",
+		"doc_type":"cmpntguide",
+		"kw":"Optimization Configuration for Multiple CPU Cores,MapReduce Performance Tuning,Component Operation G",
+		"title":"Optimization Configuration for Multiple CPU Cores",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0845.html",
+		"product_code":"mrs",
+		"code":"479",
+		"des":"The performance optimization effect is verified by comparing actual values with the baseline data. Therefore, determining optimal job baseline is critical to performance ",
+		"doc_type":"cmpntguide",
+		"kw":"Determining the Job Baseline,MapReduce Performance Tuning,Component Operation Guide (Normal)",
+		"title":"Determining the Job Baseline",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0846.html",
+		"product_code":"mrs",
+		"code":"480",
+		"des":"During the shuffle procedure of MapReduce, the Map task writes intermediate data into disks, and the Reduce task copies and adds the data to the reduce function. Hadoop p",
+		"doc_type":"cmpntguide",
+		"kw":"Streamlining Shuffle,MapReduce Performance Tuning,Component Operation Guide (Normal)",
+		"title":"Streamlining Shuffle",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0847.html",
+		"product_code":"mrs",
+		"code":"481",
+		"des":"A big job containing 100,000 Map tasks fails. It is found that the failure is triggered by the slow response of ApplicationMaster (AM).When the number of tasks increases,",
+		"doc_type":"cmpntguide",
+		"kw":"AM Optimization for Big Tasks,MapReduce Performance Tuning,Component Operation Guide (Normal)",
+		"title":"AM Optimization for Big Tasks",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0848.html",
+		"product_code":"mrs",
+		"code":"482",
+		"des":"If a cluster has hundreds or thousands of nodes, the hardware or software fault of a node may prolong the execution time of the entire task (as most tasks are already com",
+		"doc_type":"cmpntguide",
+		"kw":"Speculative Execution,MapReduce Performance Tuning,Component Operation Guide (Normal)",
+		"title":"Speculative Execution",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0849.html",
+		"product_code":"mrs",
+		"code":"483",
+		"des":"The Slow Start feature specifies the proportion of Map tasks to be completed before Reduce tasks are started. If the Reduce tasks are started too early, resources will be",
+		"doc_type":"cmpntguide",
+		"kw":"Using Slow Start,MapReduce Performance Tuning,Component Operation Guide (Normal)",
+		"title":"Using Slow Start",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0850.html",
+		"product_code":"mrs",
+		"code":"484",
+		"des":"By default, if an MR job generates a large number of output files, it takes a long time for the job to commit the temporary outputs of a task to the final output director",
+		"doc_type":"cmpntguide",
+		"kw":"Optimizing Performance for Committing MR Jobs,MapReduce Performance Tuning,Component Operation Guide",
+		"title":"Optimizing Performance for Committing MR Jobs",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1788.html",
+		"product_code":"mrs",
+		"code":"485",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Common Issues About MapReduce",
+		"title":"Common Issues About MapReduce",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1789.html",
+		"product_code":"mrs",
+		"code":"486",
+		"des":"MapReduce job takes a very long time (more than 10minutes) when the ResourceManager switch while the job is running.This is because, ResorceManager HA is enabled but the ",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does It Take a Long Time to Run a Task Upon ResourceManager Active/Standby Switchover?,Common Is",
+		"title":"Why Does It Take a Long Time to Run a Task Upon ResourceManager Active/Standby Switchover?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1790.html",
+		"product_code":"mrs",
+		"code":"487",
+		"des":"MapReduce job is not progressing for long timeThis is because of less memory. When the memory is less, the time taken by the job to copy the map output increases signific",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does a MapReduce Task Stay Unchanged for a Long Time?,Common Issues About MapReduce,Component Op",
+		"title":"Why Does a MapReduce Task Stay Unchanged for a Long Time?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1791.html",
+		"product_code":"mrs",
+		"code":"488",
+		"des":"Why is the client unavailable when the MR ApplicationMaster or ResourceManager is moved to the D state during job running?When a task is running, the MR ApplicationMaster",
+		"doc_type":"cmpntguide",
+		"kw":"Why the Client Hangs During Job Running?,Common Issues About MapReduce,Component Operation Guide (No",
+		"title":"Why the Client Hangs During Job Running?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1792.html",
+		"product_code":"mrs",
+		"code":"489",
+		"des":"In security mode, why delegation token HDFS_DELEGATION_TOKEN is not found in the cache?In MapReduce, by default HDFS_DELEGATION_TOKEN will be canceled after the job compl",
+		"doc_type":"cmpntguide",
+		"kw":"Why Cannot HDFS_DELEGATION_TOKEN Be Found in the Cache?,Common Issues About MapReduce,Component Oper",
+		"title":"Why Cannot HDFS_DELEGATION_TOKEN Be Found in the Cache?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1793.html",
+		"product_code":"mrs",
+		"code":"490",
+		"des":"How do I set the job priority when submitting a MapReduce task?You can add the parameter -Dmapreduce.job.priority=<priority> in the command to set task priority when subm",
+		"doc_type":"cmpntguide",
+		"kw":"How Do I Set the Task Priority When Submitting a MapReduce Task?,Common Issues About MapReduce,Compo",
+		"title":"How Do I Set the Task Priority When Submitting a MapReduce Task?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1797.html",
+		"product_code":"mrs",
+		"code":"491",
+		"des":"After the address of MapReduce JobHistoryServer is changed, why the wrong page is displayed when I click the tracking URL on the ResourceManager WebUI?JobHistoryServer ad",
+		"doc_type":"cmpntguide",
+		"kw":"After the Address of MapReduce JobHistoryServer Is Changed, Why the Wrong Page is Displayed When I C",
+		"title":"After the Address of MapReduce JobHistoryServer Is Changed, Why the Wrong Page is Displayed When I Click the Tracking URL on the ResourceManager WebUI?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1799.html",
+		"product_code":"mrs",
+		"code":"492",
+		"des":"MapReduce or Yarn job fails in multiple nameService environment using viewFS.When using viewFS only the mount directories are accessible, so the most possible cause is th",
+		"doc_type":"cmpntguide",
+		"kw":"MapReduce Job Failed in Multiple NameService Environment,Common Issues About MapReduce,Component Ope",
+		"title":"MapReduce Job Failed in Multiple NameService Environment",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1800.html",
+		"product_code":"mrs",
+		"code":"493",
+		"des":"MapReduce task fails and the ratio of fault nodes to all nodes is smaller than the blacklist threshold configured by yarn.resourcemanager.am-scheduling.node-blacklisting-",
+		"doc_type":"cmpntguide",
+		"kw":"Why a Fault MapReduce Node Is Not Blacklisted?,Common Issues About MapReduce,Component Operation Gui",
+		"title":"Why a Fault MapReduce Node Is Not Blacklisted?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1807.html",
+		"product_code":"mrs",
+		"code":"494",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using Oozie",
+		"title":"Using Oozie",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1808.html",
+		"product_code":"mrs",
+		"code":"495",
+		"des":"Oozie is an open-source workflow engine that is used to schedule and coordinate Hadoop jobs.Oozie can be used to submit a wide array of jobs, such as Hive, Spark2x, Loade",
+		"doc_type":"cmpntguide",
+		"kw":"Using Oozie from Scratch,Using Oozie,Component Operation Guide (Normal)",
+		"title":"Using Oozie from Scratch",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1810.html",
+		"product_code":"mrs",
+		"code":"496",
+		"des":"This section describes how to use the Oozie client in an O&M scenario or service scenario.The client has been installed. For example, the installation directory is /opt/c",
+		"doc_type":"cmpntguide",
+		"kw":"Using the Oozie Client,Using Oozie,Component Operation Guide (Normal)",
+		"title":"Using the Oozie Client",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1812.html",
+		"product_code":"mrs",
+		"code":"497",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using Oozie Client to Submit an Oozie Job",
+		"title":"Using Oozie Client to Submit an Oozie Job",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1813.html",
+		"product_code":"mrs",
+		"code":"498",
+		"des":"This section describes how to use the Oozie client to submit a Hive job.Hive jobs are divided into the following types:Hive jobHive job that is connected in JDBC modeHive",
+		"doc_type":"cmpntguide",
+		"kw":"Submitting a Hive Job,Using Oozie Client to Submit an Oozie Job,Component Operation Guide (Normal)",
+		"title":"Submitting a Hive Job",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1814.html",
+		"product_code":"mrs",
+		"code":"499",
+		"des":"This section describes how to submit a Spark2x job using the Oozie client.You are advised to download the latest client.The Spark2x and Oozie components and clients have ",
+		"doc_type":"cmpntguide",
+		"kw":"Submitting a Spark2x Job,Using Oozie Client to Submit an Oozie Job,Component Operation Guide (Normal",
+		"title":"Submitting a Spark2x Job",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1815.html",
+		"product_code":"mrs",
+		"code":"500",
+		"des":"This section describes how to submit a Loader job using the Oozie client.You are advised to download the latest client.The Hive and Oozie components and clients have been",
+		"doc_type":"cmpntguide",
+		"kw":"Submitting a Loader Job,Using Oozie Client to Submit an Oozie Job,Component Operation Guide (Normal)",
+		"title":"Submitting a Loader Job",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2392.html",
+		"product_code":"mrs",
+		"code":"501",
+		"des":"This section describes how to submit a DistCp job using the Oozie client.You are advised to download the latest client.The HDFS and Oozie components and clients have been",
+		"doc_type":"cmpntguide",
+		"kw":"Submitting a DistCp Job,Using Oozie Client to Submit an Oozie Job,Component Operation Guide (Normal)",
+		"title":"Submitting a DistCp Job",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1816.html",
+		"product_code":"mrs",
+		"code":"502",
+		"des":"In addition to Hive, Spark2x, and Loader jobs, MapReduce, Java, Shell, HDFS, SSH, SubWorkflow, Streaming, and scheduled jobs can be submitted using the Oozie client.You a",
+		"doc_type":"cmpntguide",
+		"kw":"Submitting Other Jobs,Using Oozie Client to Submit an Oozie Job,Component Operation Guide (Normal)",
+		"title":"Submitting Other Jobs",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1817.html",
+		"product_code":"mrs",
+		"code":"503",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using Hue to Submit an Oozie Job",
+		"title":"Using Hue to Submit an Oozie Job",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1818.html",
+		"product_code":"mrs",
+		"code":"504",
+		"des":"You can submit an Oozie job on the Hue management page, but a workflow must be created before the job is submitted.Before using Hue to submit an Oozie job, configure the ",
+		"doc_type":"cmpntguide",
+		"kw":"Creating a Workflow,Using Hue to Submit an Oozie Job,Component Operation Guide (Normal)",
+		"title":"Creating a Workflow",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1819.html",
+		"product_code":"mrs",
+		"code":"505",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Submitting a Workflow Job",
+		"title":"Submitting a Workflow Job",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1820.html",
+		"product_code":"mrs",
+		"code":"506",
+		"des":"This section describes how to submit an Oozie job of the Hive2 type on the Hue web UI.For example, if the input parameter is INPUT=/user/admin/examples/input-data/table, ",
+		"doc_type":"cmpntguide",
+		"kw":"Submitting a Hive2 Job,Submitting a Workflow Job,Component Operation Guide (Normal)",
+		"title":"Submitting a Hive2 Job",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1821.html",
+		"product_code":"mrs",
+		"code":"507",
+		"des":"This section describes how to submit an Oozie job of the Spark2x type on Hue.For example, add the following parameters:hdfs://hacluster/user/admin/examples/input-data/tex",
+		"doc_type":"cmpntguide",
+		"kw":"Submitting a Spark2x Job,Submitting a Workflow Job,Component Operation Guide (Normal)",
+		"title":"Submitting a Spark2x Job",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1822.html",
+		"product_code":"mrs",
+		"code":"508",
+		"des":"This section describes how to submit an Oozie job of the Java type on the Hue web UI.If you need to modify the job name before saving the job (default value: My Workflow)",
+		"doc_type":"cmpntguide",
+		"kw":"Submitting a Java Job,Submitting a Workflow Job,Component Operation Guide (Normal)",
+		"title":"Submitting a Java Job",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1823.html",
+		"product_code":"mrs",
+		"code":"509",
+		"des":"This section describes how to submit an Oozie job of the Loader type on the Hue web UI.Job id is the ID of the Loader job to be orchestrated and can be obtained from the ",
+		"doc_type":"cmpntguide",
+		"kw":"Submitting a Loader Job,Submitting a Workflow Job,Component Operation Guide (Normal)",
+		"title":"Submitting a Loader Job",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1824.html",
+		"product_code":"mrs",
+		"code":"510",
+		"des":"This section describes how to submit an Oozie job of the MapReduce type on the Hue web UI.For example, set the value of mapred.input.dir to /user/admin/examples/input-dat",
+		"doc_type":"cmpntguide",
+		"kw":"Submitting a MapReduce Job,Submitting a Workflow Job,Component Operation Guide (Normal)",
+		"title":"Submitting a MapReduce Job",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1825.html",
+		"product_code":"mrs",
+		"code":"511",
+		"des":"This section describes how to submit an Oozie job of the Sub-workflow type on the Hue web UI.If you need to modify the job name before saving the job (default value: My W",
+		"doc_type":"cmpntguide",
+		"kw":"Submitting a Sub-workflow Job,Submitting a Workflow Job,Component Operation Guide (Normal)",
+		"title":"Submitting a Sub-workflow Job",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1826.html",
+		"product_code":"mrs",
+		"code":"512",
+		"des":"This section describes how to submit an Oozie job of the Shell type on the Hue web UI.If the file is stored in HDFS, select the path of the .sh file, for example, user/hu",
+		"doc_type":"cmpntguide",
+		"kw":"Submitting a Shell Job,Submitting a Workflow Job,Component Operation Guide (Normal)",
+		"title":"Submitting a Shell Job",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1827.html",
+		"product_code":"mrs",
+		"code":"513",
+		"des":"This section describes how to submit an Oozie job of the HDFS type on the Hue web UI.If you need to modify the job name before saving the job (default value: My Workflow)",
+		"doc_type":"cmpntguide",
+		"kw":"Submitting an HDFS Job,Submitting a Workflow Job,Component Operation Guide (Normal)",
+		"title":"Submitting an HDFS Job",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1828.html",
+		"product_code":"mrs",
+		"code":"514",
+		"des":"This section describes how to submit an Oozie job of the Streaming type on the Hue web UI.for example, /user/oozie/share/lib/mapreduce-streaming/hadoop-streaming-3.1.1.ja",
+		"doc_type":"cmpntguide",
+		"kw":"Submitting a Streaming Job,Submitting a Workflow Job,Component Operation Guide (Normal)",
+		"title":"Submitting a Streaming Job",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1829.html",
+		"product_code":"mrs",
+		"code":"515",
+		"des":"This section describes how to submit an Oozie job of the DistCp type on the Hue web UI.If yes, go to 4.If no, go to 7.source_ip: service address of the HDFS NameNode in t",
+		"doc_type":"cmpntguide",
+		"kw":"Submitting a DistCp Job,Submitting a Workflow Job,Component Operation Guide (Normal)",
+		"title":"Submitting a DistCp Job",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1830.html",
+		"product_code":"mrs",
+		"code":"516",
+		"des":"This section guides you to enable unidirectional password-free mutual trust when Oozie nodes are used to execute shell scripts of external nodes through SSH jobs.You have",
+		"doc_type":"cmpntguide",
+		"kw":"Example of Mutual Trust Operations,Submitting a Workflow Job,Component Operation Guide (Normal)",
+		"title":"Example of Mutual Trust Operations",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1831.html",
+		"product_code":"mrs",
+		"code":"517",
+		"des":"This section guides you to submit an Oozie job of the SSH type on the Hue web UI.Due to security risks, SSH jobs cannot be submitted by default. To use the SSH function, ",
+		"doc_type":"cmpntguide",
+		"kw":"Submitting an SSH Job,Submitting a Workflow Job,Component Operation Guide (Normal)",
+		"title":"Submitting an SSH Job",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2372.html",
+		"product_code":"mrs",
+		"code":"518",
+		"des":"This section describes how to submit a Hive job on the Hue web UI.After the job is submitted, you can view the related contents of the job, such as the detailed informati",
+		"doc_type":"cmpntguide",
+		"kw":"Submitting a Hive Script,Submitting a Workflow Job,Component Operation Guide (Normal)",
+		"title":"Submitting a Hive Script",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1840.html",
+		"product_code":"mrs",
+		"code":"519",
+		"des":"This section describes how to submit a job of the periodic scheduling type on the Hue web UI.Required workflow jobs have been configured before the coordinator task is su",
+		"doc_type":"cmpntguide",
+		"kw":"Submitting a Coordinator Periodic Scheduling Job,Using Hue to Submit an Oozie Job,Component Operatio",
+		"title":"Submitting a Coordinator Periodic Scheduling Job",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1841.html",
+		"product_code":"mrs",
+		"code":"520",
+		"des":"In the case that multiple scheduled jobs exist at the same time, you can manage the jobs in batches over the Bundle task. This section describes how to submit a job of th",
+		"doc_type":"cmpntguide",
+		"kw":"Submitting a Bundle Batch Processing Job,Using Hue to Submit an Oozie Job,Component Operation Guide ",
+		"title":"Submitting a Bundle Batch Processing Job",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1842.html",
+		"product_code":"mrs",
+		"code":"521",
+		"des":"After the jobs are submitted, you can view the execution status of a specific job on Hue.",
+		"doc_type":"cmpntguide",
+		"kw":"Querying the Operation Results,Using Hue to Submit an Oozie Job,Component Operation Guide (Normal)",
+		"title":"Querying the Operation Results",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1843.html",
+		"product_code":"mrs",
+		"code":"522",
+		"des":"Log path: The default storage paths of Oozie log files are as follows:Run log: /var/log/Bigdata/oozieAudit log: /var/log/Bigdata/audit/oozieLog archiving rule: Oozie logs",
+		"doc_type":"cmpntguide",
+		"kw":"Oozie Log Overview,Using Oozie,Component Operation Guide (Normal)",
+		"title":"Oozie Log Overview",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1844.html",
+		"product_code":"mrs",
+		"code":"523",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Common Issues About Oozie",
+		"title":"Common Issues About Oozie",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1846.html",
+		"product_code":"mrs",
+		"code":"524",
+		"des":"Why are not Coordinator scheduled jobs executed on time on the Hue or Oozie client?Use UTC time. For example, set start=2016-12-20T09:00Z in job.properties file.",
+		"doc_type":"cmpntguide",
+		"kw":"Oozie Scheduled Tasks Are Not Executed on Time,Common Issues About Oozie,Component Operation Guide (",
+		"title":"Oozie Scheduled Tasks Are Not Executed on Time",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1847.html",
+		"product_code":"mrs",
+		"code":"525",
+		"des":"A new JAR package is uploaded to the /user/oozie/share/lib directory on HDFS. However, an error indicating that the class cannot be found is reported during task executio",
+		"doc_type":"cmpntguide",
+		"kw":"Why Update of the share lib Directory of Oozie on HDFS Does Not Take Effect?,Common Issues About Ooz",
+		"title":"Why Update of the share lib Directory of Oozie on HDFS Does Not Take Effect?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24479.html",
+		"product_code":"mrs",
+		"code":"526",
+		"des":"Check the job logs on Yarn. Run the command executed through Hive SQL using beeline to ensure that Hive is running properly.If error information such as \"classnotfoundExc",
+		"doc_type":"cmpntguide",
+		"kw":"Common Oozie Troubleshooting Methods,Common Issues About Oozie,Component Operation Guide (Normal)",
+		"title":"Common Oozie Troubleshooting Methods",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0599.html",
+		"product_code":"mrs",
+		"code":"527",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using OpenTSDB",
+		"title":"Using OpenTSDB",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0471.html",
+		"product_code":"mrs",
+		"code":"528",
+		"des":"You can perform an interactive operation on an MRS cluster client. For a cluster with Kerberos authentication enabled, the user must belong to the opentsdb, hbase, opents",
+		"doc_type":"cmpntguide",
+		"kw":"Using an MRS Client to Operate OpenTSDB Metric Data,Using OpenTSDB,Component Operation Guide (Normal",
+		"title":"Using an MRS Client to Operate OpenTSDB Metric Data",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0472.html",
+		"product_code":"mrs",
+		"code":"529",
+		"des":"For example, to write data of a metric named testdata, whose timestamp is 1524900185, value is true, tag is key and value, run the following command:<tsd_ip>: indicates t",
+		"doc_type":"cmpntguide",
+		"kw":"Running the curl Command to Operate OpenTSDB,Using OpenTSDB,Component Operation Guide (Normal)",
+		"title":"Running the curl Command to Operate OpenTSDB",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0432.html",
+		"product_code":"mrs",
+		"code":"530",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using Presto",
+		"title":"Using Presto",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0433.html",
+		"product_code":"mrs",
+		"code":"531",
+		"des":"You can view the Presto statistics on the graphical Presto web UI. You are advised to use Google Chrome to access the Presto web UI because it cannot be accessed using In",
+		"doc_type":"cmpntguide",
+		"kw":"Accessing the Presto Web UI,Using Presto,Component Operation Guide (Normal)",
+		"title":"Accessing the Presto Web UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0434.html",
+		"product_code":"mrs",
+		"code":"532",
+		"des":"You can perform an interactive query on an MRS cluster client. For clusters with Kerberos authentication enabled, users who submit topologies must belong to the presto gr",
+		"doc_type":"cmpntguide",
+		"kw":"Using a Client to Execute Query Statements,Using Presto,Component Operation Guide (Normal)",
+		"title":"Using a Client to Execute Query Statements",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0635.html",
+		"product_code":"mrs",
+		"code":"533",
+		"des":"The Presto component has been installed in an MRS cluster.You have synchronized IAM users. (On the Dashboard page, click Synchronize on the right side of IAM User Sync to",
+		"doc_type":"cmpntguide",
+		"kw":"Using Presto to Dump Data in DLF,Using Presto,Component Operation Guide (Normal)",
+		"title":"Using Presto to Dump Data in DLF",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0636.html",
+		"product_code":"mrs",
+		"code":"534",
+		"des":"MRS 3.x does not enable you to configure Presto permissions.By default, the Hive Catalog authorization of the Presto component is enabled in a security cluster. The Prest",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Presto Permissions,Using Presto,Component Operation Guide (Normal)",
+		"title":"Configuring Presto Permissions",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0761.html",
+		"product_code":"mrs",
+		"code":"535",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using Ranger (MRS 1.9.2)",
+		"title":"Using Ranger (MRS 1.9.2)",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0763.html",
+		"product_code":"mrs",
+		"code":"536",
+		"des":"Currently, only normal MRS 1.9.2 clusters support Ranger. Security clusters with Kerberos authentication enabled do not support Ranger.After the cluster is created, Range",
+		"doc_type":"cmpntguide",
+		"kw":"Creating a Ranger Cluster,Using Ranger (MRS 1.9.2),Component Operation Guide (Normal)",
+		"title":"Creating a Ranger Cluster",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0764.html",
+		"product_code":"mrs",
+		"code":"537",
+		"des":"You can manage Ranger on the Ranger web UI.After logging in to the Ranger Web UI for the first time, change the password and keep it secure.Ranger UserSync is an importan",
+		"doc_type":"cmpntguide",
+		"kw":"Accessing the Ranger Web UI and Synchronizing Unix Users to the Ranger Web UI,Using Ranger (MRS 1.9.",
+		"title":"Accessing the Ranger Web UI and Synchronizing Unix Users to the Ranger Web UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0765.html",
+		"product_code":"mrs",
+		"code":"538",
+		"des":"After an MRS cluster with Ranger installed is created, Hive and Impala access control is not integrated into Ranger. This section describes how to integrate Hive into Ran",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Hive/Impala Access Permissions in Ranger,Using Ranger (MRS 1.9.2),Component Operation Gu",
+		"title":"Configuring Hive/Impala Access Permissions in Ranger",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0766.html",
+		"product_code":"mrs",
+		"code":"539",
+		"des":"After an MRS cluster with Ranger installed is created, HBase access control is not integrated into Ranger. This section describes how to integrate HBase into Ranger.Addin",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring HBase Access Permissions in Ranger,Using Ranger (MRS 1.9.2),Component Operation Guide (N",
+		"title":"Configuring HBase Access Permissions in Ranger",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1849.html",
+		"product_code":"mrs",
+		"code":"540",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using Ranger (MRS 3.x)",
+		"title":"Using Ranger (MRS 3.x)",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1850.html",
+		"product_code":"mrs",
+		"code":"541",
+		"des":"Ranger provides a centralized permission management framework to implement fine-grained permission control on components such as HDFS, HBase, Hive, and Yarn. In addition,",
+		"doc_type":"cmpntguide",
+		"kw":"Logging In to the Ranger Web UI,Using Ranger (MRS 3.x),Component Operation Guide (Normal)",
+		"title":"Logging In to the Ranger Web UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2393.html",
+		"product_code":"mrs",
+		"code":"542",
+		"des":"This section guides you how to enable Ranger authentication. Ranger authentication is enabled by default in security mode and disabled by default in normal mode.If Enable",
+		"doc_type":"cmpntguide",
+		"kw":"Enabling Ranger Authentication,Using Ranger (MRS 3.x),Component Operation Guide (Normal)",
+		"title":"Enabling Ranger Authentication",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1851.html",
+		"product_code":"mrs",
+		"code":"543",
+		"des":"In the newly installed MRS cluster, Ranger is installed by default, with the Ranger authentication model enabled. The systemadministrator can set fine-grained security po",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Component Permission Policies,Using Ranger (MRS 3.x),Component Operation Guide (Normal)",
+		"title":"Configuring Component Permission Policies",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1852.html",
+		"product_code":"mrs",
+		"code":"544",
+		"des":"The systemadministrator can view audit logs of the Ranger running and the permission control after Ranger authentication is enabled on the Ranger web UI.",
+		"doc_type":"cmpntguide",
+		"kw":"Viewing Ranger Audit Information,Using Ranger (MRS 3.x),Component Operation Guide (Normal)",
+		"title":"Viewing Ranger Audit Information",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1853.html",
+		"product_code":"mrs",
+		"code":"545",
+		"des":"Security zone can be configured using Ranger. Rangeradministrators can divide resources of each component into multiple security zones where administrators set security p",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring a Security Zone,Using Ranger (MRS 3.x),Component Operation Guide (Normal)",
+		"title":"Configuring a Security Zone",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2394.html",
+		"product_code":"mrs",
+		"code":"546",
+		"des":"By default, the Ranger data source of the security cluster can be accessed by FusionInsight Manager LDAP users. By default, the Ranger data source of a common cluster can",
+		"doc_type":"cmpntguide",
+		"kw":"Changing the Ranger Data Source to LDAP for a Normal Cluster,Using Ranger (MRS 3.x),Component Operat",
+		"title":"Changing the Ranger Data Source to LDAP for a Normal Cluster",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1854.html",
+		"product_code":"mrs",
+		"code":"547",
+		"des":"You can view Ranger permission settings, such as users, user groups, and roles.Users: displays all user information synchronized from LDAP or OS to Ranger.Groups: display",
+		"doc_type":"cmpntguide",
+		"kw":"Viewing Ranger Permission Information,Using Ranger (MRS 3.x),Component Operation Guide (Normal)",
+		"title":"Viewing Ranger Permission Information",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1856.html",
+		"product_code":"mrs",
+		"code":"548",
+		"des":"The Rangeradministrator can use Ranger to configure the read, write, and execution permissions on HDFS directories or files for HDFS users.The Ranger service has been ins",
+		"doc_type":"cmpntguide",
+		"kw":"Adding a Ranger Access Permission Policy for HDFS,Using Ranger (MRS 3.x),Component Operation Guide (",
+		"title":"Adding a Ranger Access Permission Policy for HDFS",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1857.html",
+		"product_code":"mrs",
+		"code":"549",
+		"des":"Rangeradministrators can use Ranger to configure permissions on HBase tables, column families, and columns for HBase users.The Ranger service has been installed and is ru",
+		"doc_type":"cmpntguide",
+		"kw":"Adding a Ranger Access Permission Policy for HBase,Using Ranger (MRS 3.x),Component Operation Guide ",
+		"title":"Adding a Ranger Access Permission Policy for HBase",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1858.html",
+		"product_code":"mrs",
+		"code":"550",
+		"des":"The Rangeradministrator can use Ranger to set permissions for Hive users. The default administrator account of Hive is hive and the initial password is Hive@123.The Range",
+		"doc_type":"cmpntguide",
+		"kw":"Adding a Ranger Access Permission Policy for Hive,Using Ranger (MRS 3.x),Component Operation Guide (",
+		"title":"Adding a Ranger Access Permission Policy for Hive",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1859.html",
+		"product_code":"mrs",
+		"code":"551",
+		"des":"The Rangeradministrator can use Ranger to configure Yarn administrator permissions for Yarn users, allowing them to manage Yarn queue resources.The Ranger service has bee",
+		"doc_type":"cmpntguide",
+		"kw":"Adding a Ranger Access Permission Policy for Yarn,Using Ranger (MRS 3.x),Component Operation Guide (",
+		"title":"Adding a Ranger Access Permission Policy for Yarn",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1860.html",
+		"product_code":"mrs",
+		"code":"552",
+		"des":"The Rangeradministrator can use Ranger to set permissions for Spark2x users.After Ranger authentication is enabled or disabled on Spark2x, you need to restart Spark2x.Dow",
+		"doc_type":"cmpntguide",
+		"kw":"Adding a Ranger Access Permission Policy for Spark2x,Using Ranger (MRS 3.x),Component Operation Guid",
+		"title":"Adding a Ranger Access Permission Policy for Spark2x",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1861.html",
+		"product_code":"mrs",
+		"code":"553",
+		"des":"The Rangeradministrator can use Ranger to configure the read, write, and management permissions of the Kafka topic and the management permission of the cluster for the Ka",
+		"doc_type":"cmpntguide",
+		"kw":"Adding a Ranger Access Permission Policy for Kafka,Using Ranger (MRS 3.x),Component Operation Guide ",
+		"title":"Adding a Ranger Access Permission Policy for Kafka",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1863.html",
+		"product_code":"mrs",
+		"code":"554",
+		"des":"The Rangeradministrator can use Ranger to set permissions for Storm users.The Ranger service has been installed and is running properly.You have created users, user group",
+		"doc_type":"cmpntguide",
+		"kw":"Adding a Ranger Access Permission Policy for Storm,Using Ranger (MRS 3.x),Component Operation Guide ",
+		"title":"Adding a Ranger Access Permission Policy for Storm",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1865.html",
+		"product_code":"mrs",
+		"code":"555",
+		"des":"Log path: The default storage path of Ranger logs is /var/log/Bigdata/ranger/Role name.RangerAdmin: /var/log/Bigdata/ranger/rangeradmin (run logs)TagSync: /var/log/Bigdat",
+		"doc_type":"cmpntguide",
+		"kw":"Ranger Log Overview,Using Ranger (MRS 3.x),Component Operation Guide (Normal)",
+		"title":"Ranger Log Overview",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1866.html",
+		"product_code":"mrs",
+		"code":"556",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Common Issues About Ranger",
+		"title":"Common Issues About Ranger",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1867.html",
+		"product_code":"mrs",
+		"code":"557",
+		"des":"During cluster installation, Ranger fails to be started, and the error message \"ERROR: cannot drop sequence X_POLICY_REF_ACCESS_TYPE_SEQ \" is displayed in the task list o",
+		"doc_type":"cmpntguide",
+		"kw":"Why Ranger Startup Fails During the Cluster Installation?,Common Issues About Ranger,Component Opera",
+		"title":"Why Ranger Startup Fails During the Cluster Installation?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1868.html",
+		"product_code":"mrs",
+		"code":"558",
+		"des":"How do I determine whether the Ranger authentication is enabled for a service that supports the authentication?Log in to FusionInsight Manager and choose Cluster > Servic",
+		"doc_type":"cmpntguide",
+		"kw":"How Do I Determine Whether the Ranger Authentication Is Used for a Service?,Common Issues About Rang",
+		"title":"How Do I Determine Whether the Ranger Authentication Is Used for a Service?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2300.html",
+		"product_code":"mrs",
+		"code":"559",
+		"des":"When a new user logs in to Ranger, why is the 401 error reported after the password is changed?The UserSync synchronizes user data at an interval of 5 minutes by default.",
+		"doc_type":"cmpntguide",
+		"kw":"Why Cannot a New User Log In to Ranger After Changing the Password?,Common Issues About Ranger,Compo",
+		"title":"Why Cannot a New User Log In to Ranger After Changing the Password?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2355.html",
+		"product_code":"mrs",
+		"code":"560",
+		"des":"When a Ranger access permission policy is added for HBase and wildcard characters are used to search for an existing HBase table in the policy, the table cannot be found.",
+		"doc_type":"cmpntguide",
+		"kw":"When an HBase Policy Is Added or Modified on Ranger, Wildcard Characters Cannot Be Used to Search fo",
+		"title":"When an HBase Policy Is Added or Modified on Ranger, Wildcard Characters Cannot Be Used to Search for Existing HBase Tables",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0589.html",
+		"product_code":"mrs",
+		"code":"561",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using Spark",
+		"title":"Using Spark",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1925.html",
+		"product_code":"mrs",
+		"code":"562",
+		"des":"This section applies to versions earlier than MRS 3.x.",
+		"doc_type":"cmpntguide",
+		"kw":"Precautions,Using Spark,Component Operation Guide (Normal)",
+		"title":"Precautions",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0366.html",
+		"product_code":"mrs",
+		"code":"563",
+		"des":"This section describes how to use Spark to submit a SparkPi job. SparkPi, a typical Spark job, is used to calculate the value of Pi (π).Multiple open-source Spark sample ",
+		"doc_type":"cmpntguide",
+		"kw":"Getting Started with Spark,Using Spark,Component Operation Guide (Normal)",
+		"title":"Getting Started with Spark",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0367.html",
+		"product_code":"mrs",
+		"code":"564",
+		"des":"Spark provides the Spark SQL language that is similar to SQL to perform operations on structured data. This section describes how to use Spark SQL from scratch. Create a ",
+		"doc_type":"cmpntguide",
+		"kw":"Getting Started with Spark SQL,Using Spark,Component Operation Guide (Normal)",
+		"title":"Getting Started with Spark SQL",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1183.html",
+		"product_code":"mrs",
+		"code":"565",
+		"des":"After an MRS cluster is created, you can create and submit jobs on the client. The client can be installed on nodes inside or outside the cluster.Nodes inside the cluster",
+		"doc_type":"cmpntguide",
+		"kw":"Using the Spark Client,Using Spark,Component Operation Guide (Normal)",
+		"title":"Using the Spark Client",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0767.html",
+		"product_code":"mrs",
+		"code":"566",
+		"des":"The Spark web UI is used to view the running status of Spark applications. Google Chrome is recommended for better user experience.Spark has two web UIs.Spark UI: used to",
+		"doc_type":"cmpntguide",
+		"kw":"Accessing the Spark Web UI,Using Spark,Component Operation Guide (Normal)",
+		"title":"Accessing the Spark Web UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0584.html",
+		"product_code":"mrs",
+		"code":"567",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Interconnecting Spark with OpenTSDB",
+		"title":"Interconnecting Spark with OpenTSDB",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0585.html",
+		"product_code":"mrs",
+		"code":"568",
+		"des":"MRS Spark can be used to access the data source of OpenTSDB, create and associate tables in the Spark, and query and insert the OpenTSDB data.Use the CREATE TABLE command",
+		"doc_type":"cmpntguide",
+		"kw":"Creating a Table and Associating It with OpenTSDB,Interconnecting Spark with OpenTSDB,Component Oper",
+		"title":"Creating a Table and Associating It with OpenTSDB",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0586.html",
+		"product_code":"mrs",
+		"code":"569",
+		"des":"Run the INSERT INTO statement to insert the data in the table to the associated OpenTSDB metric.The inserted data cannot be null. If the inserted data is the same as the ",
+		"doc_type":"cmpntguide",
+		"kw":"Inserting Data to the OpenTSDB Table,Interconnecting Spark with OpenTSDB,Component Operation Guide (",
+		"title":"Inserting Data to the OpenTSDB Table",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0587.html",
+		"product_code":"mrs",
+		"code":"570",
+		"des":"This SELECT command is used to query data in an OpenTSDB table.The to-be-queried table must exist. Otherwise, an error is reported.The value of tagv must exist. Otherwise",
+		"doc_type":"cmpntguide",
+		"kw":"Querying an OpenTSDB Table,Interconnecting Spark with OpenTSDB,Component Operation Guide (Normal)",
+		"title":"Querying an OpenTSDB Table",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0588.html",
+		"product_code":"mrs",
+		"code":"571",
+		"des":"By default, OpenTSDB connects to the local TSD process of the node where the Spark executor resides. In MRS, use the default configuration.Run the set statement in spark-",
+		"doc_type":"cmpntguide",
+		"kw":"Modifying the Default Configuration Data,Interconnecting Spark with OpenTSDB,Component Operation Gui",
+		"title":"Modifying the Default Configuration Data",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1926.html",
+		"product_code":"mrs",
+		"code":"572",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using Spark2x",
+		"title":"Using Spark2x",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1927.html",
+		"product_code":"mrs",
+		"code":"573",
+		"des":"This section applies to MRS 3.x or later clusters.",
+		"doc_type":"cmpntguide",
+		"kw":"Precautions,Using Spark2x,Component Operation Guide (Normal)",
+		"title":"Precautions",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1928.html",
+		"product_code":"mrs",
+		"code":"574",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Basic Operation",
+		"title":"Basic Operation",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1929.html",
+		"product_code":"mrs",
+		"code":"575",
+		"des":"This section describes how to use Spark2x to submit Spark applications, including Spark Core and Spark SQL. Spark Core is the kernel module of Spark. It executes tasks an",
+		"doc_type":"cmpntguide",
+		"kw":"Getting Started,Basic Operation,Component Operation Guide (Normal)",
+		"title":"Getting Started",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1930.html",
+		"product_code":"mrs",
+		"code":"576",
+		"des":"This section describes how to quickly configure common parameters and lists parameters that are not recommended to be modified when Spark2x is used.Some parameters have b",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Parameters Rapidly,Basic Operation,Component Operation Guide (Normal)",
+		"title":"Configuring Parameters Rapidly",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1931.html",
+		"product_code":"mrs",
+		"code":"577",
+		"des":"This section describes common configuration items used in Spark. Subsections are divided by feature so that you can quickly find required configuration items. If you use ",
+		"doc_type":"cmpntguide",
+		"kw":"Common Parameters,Basic Operation,Component Operation Guide (Normal)",
+		"title":"Common Parameters",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1933.html",
+		"product_code":"mrs",
+		"code":"578",
+		"des":"Spark on HBase allows users to query HBase tables in Spark SQL and to store data for HBase tables by using the Beeline tool. You can use HBase APIs to create, read data f",
+		"doc_type":"cmpntguide",
+		"kw":"Spark on HBase Overview and Basic Applications,Basic Operation,Component Operation Guide (Normal)",
+		"title":"Spark on HBase Overview and Basic Applications",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1934.html",
+		"product_code":"mrs",
+		"code":"579",
+		"des":"Spark on HBase V2 allows users to query HBase tables in Spark SQL and to store data for HBase tables by using the Beeline tool. You can use HBase APIs to create, read dat",
+		"doc_type":"cmpntguide",
+		"kw":"Spark on HBase V2 Overview and Basic Applications,Basic Operation,Component Operation Guide (Normal)",
+		"title":"Spark on HBase V2 Overview and Basic Applications",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1935.html",
+		"product_code":"mrs",
+		"code":"580",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"SparkSQL Permission Management(Security Mode)",
+		"title":"SparkSQL Permission Management(Security Mode)",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1936.html",
+		"product_code":"mrs",
+		"code":"581",
+		"des":"Similar to Hive, Spark SQL is a data warehouse framework built on Hadoop, providing storage of structured data like structured query language (SQL).MRS supports users, us",
+		"doc_type":"cmpntguide",
+		"kw":"Spark SQL Permissions,SparkSQL Permission Management(Security Mode),Component Operation Guide (Norma",
+		"title":"Spark SQL Permissions",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1937.html",
+		"product_code":"mrs",
+		"code":"582",
+		"des":"This section describes how to create and configure a SparkSQL role on Manager as the system administrator. The Spark SQL role can be configured with the Sparkadministrato",
+		"doc_type":"cmpntguide",
+		"kw":"Creating a Spark SQL Role,SparkSQL Permission Management(Security Mode),Component Operation Guide (N",
+		"title":"Creating a Spark SQL Role",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1938.html",
+		"product_code":"mrs",
+		"code":"583",
+		"des":"You can configure related permissions if you need to access tables or databases created by other users. SparkSQL supports column-based permission control. If a user needs",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Permissions for SparkSQL Tables, Columns, and Databases,SparkSQL Permission Management(S",
+		"title":"Configuring Permissions for SparkSQL Tables, Columns, and Databases",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1939.html",
+		"product_code":"mrs",
+		"code":"584",
+		"des":"SparkSQL may need to be associated with other components. For example, Spark on HBase requires HBase permissions. The following describes how to associate SparkSQL with H",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Permissions for SparkSQL to Use Other Components,SparkSQL Permission Management(Security",
+		"title":"Configuring Permissions for SparkSQL to Use Other Components",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1940.html",
+		"product_code":"mrs",
+		"code":"585",
+		"des":"This section describes how to configure SparkSQL permission management functions (client configuration is similar to server configuration). To enable table permission, ad",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring the Client and Server,SparkSQL Permission Management(Security Mode),Component Operation ",
+		"title":"Configuring the Client and Server",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1941.html",
+		"product_code":"mrs",
+		"code":"586",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Scenario-Specific Configuration",
+		"title":"Scenario-Specific Configuration",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1942.html",
+		"product_code":"mrs",
+		"code":"587",
+		"des":"In this mode, multiple ThriftServers coexist in the cluster and the client can randomly connect any ThriftServer to perform service operations. When one or multiple Thrif",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Multi-active Instance Mode,Scenario-Specific Configuration,Component Operation Guide (No",
+		"title":"Configuring Multi-active Instance Mode",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1943.html",
+		"product_code":"mrs",
+		"code":"588",
+		"des":"In multi-tenant mode, JDBCServers are bound with tenants. Each tenant corresponds to one or more JDBCServers, and a JDBCServer provides services for only one tenant. Diff",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring the Multi-tenant Mode,Scenario-Specific Configuration,Component Operation Guide (Normal)",
+		"title":"Configuring the Multi-tenant Mode",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1944.html",
+		"product_code":"mrs",
+		"code":"589",
+		"des":"When using a cluster, if you want to switch between multi-active instance mode and multi-tenant mode, the following configurations are required.Switch from multi-tenant m",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring the Switchover Between the Multi-active Instance Mode and the Multi-tenant Mode,Scenario",
+		"title":"Configuring the Switchover Between the Multi-active Instance Mode and the Multi-tenant Mode",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1945.html",
+		"product_code":"mrs",
+		"code":"590",
+		"des":"Functions such as UI, EventLog, and dynamic resource scheduling in Spark are implemented through event transfer. Events include SparkListenerJobStart and SparkListenerJob",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring the Size of the Event Queue,Scenario-Specific Configuration,Component Operation Guide (N",
+		"title":"Configuring the Size of the Event Queue",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1947.html",
+		"product_code":"mrs",
+		"code":"591",
+		"des":"When the executor off-heap memory is too small, or processes with higher priority preempt resources, the physical memory usage will exceed the maximal value. To prevent t",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Executor Off-Heap Memory,Scenario-Specific Configuration,Component Operation Guide (Norm",
+		"title":"Configuring Executor Off-Heap Memory",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1948.html",
+		"product_code":"mrs",
+		"code":"592",
+		"des":"A large amount of memory is required when Spark SQL executes a query, especially during Aggregate and Join operations. If the memory is limited, OutOfMemoryError may occu",
+		"doc_type":"cmpntguide",
+		"kw":"Enhancing Stability in a Limited Memory Condition,Scenario-Specific Configuration,Component Operatio",
+		"title":"Enhancing Stability in a Limited Memory Condition",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1949.html",
+		"product_code":"mrs",
+		"code":"593",
+		"des":"When yarn.log-aggregation-enable of Yarn is set to true, the container log aggregation function is enabled. Log aggregation indicates that after applications are run on Y",
+		"doc_type":"cmpntguide",
+		"kw":"Viewing Aggregated Container Logs on the Web UI,Scenario-Specific Configuration,Component Operation ",
+		"title":"Viewing Aggregated Container Logs on the Web UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1951.html",
+		"product_code":"mrs",
+		"code":"594",
+		"des":"Values of some configuration parameters of Spark client vary depending on its work mode (YARN-Client or YARN-Cluster). If you switch Spark client between different modes ",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Environment Variables in Yarn-Client and Yarn-Cluster Modes,Scenario-Specific Configurat",
+		"title":"Configuring Environment Variables in Yarn-Client and Yarn-Cluster Modes",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1952.html",
+		"product_code":"mrs",
+		"code":"595",
+		"des":"By default, SparkSQL divides data into 200 data blocks during shuffle. In data-intensive scenarios, each data block may have excessive size. If a single data block of a t",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring the Default Number of Data Blocks Divided by SparkSQL,Scenario-Specific Configuration,Co",
+		"title":"Configuring the Default Number of Data Blocks Divided by SparkSQL",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1953.html",
+		"product_code":"mrs",
+		"code":"596",
+		"des":"The compression format of a Parquet table can be configured as follows:If the Parquet table is a partitioned one, set the parquet.compression parameter of the Parquet tab",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring the Compression Format of a Parquet Table,Scenario-Specific Configuration,Component Oper",
+		"title":"Configuring the Compression Format of a Parquet Table",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1954.html",
+		"product_code":"mrs",
+		"code":"597",
+		"des":"In Spark WebUI, the Executor page can display information about Lost Executor. Executors are dynamically recycled. If the JDBCServer tasks are large, there may be too man",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring the Number of Lost Executors Displayed in WebUI,Scenario-Specific Configuration,Componen",
+		"title":"Configuring the Number of Lost Executors Displayed in WebUI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1957.html",
+		"product_code":"mrs",
+		"code":"598",
+		"des":"In some scenarios, to locate problems or check information by changing the log level,you can add the -Dlog4j.configuration.watch=true parameter to the JVM parameter of a ",
+		"doc_type":"cmpntguide",
+		"kw":"Setting the Log Level Dynamically,Scenario-Specific Configuration,Component Operation Guide (Normal)",
+		"title":"Setting the Log Level Dynamically",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1958.html",
+		"product_code":"mrs",
+		"code":"599",
+		"des":"When Spark is used to submit tasks, the driver obtains tokens from HBase by default. To access HBase, you need to configure the jaas.conf file for security authentication",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Whether Spark Obtains HBase Tokens,Scenario-Specific Configuration,Component Operation G",
+		"title":"Configuring Whether Spark Obtains HBase Tokens",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1959.html",
+		"product_code":"mrs",
+		"code":"600",
+		"des":"If the Spark Streaming application is connected to Kafka, after the Spark Streaming application is terminated abnormally and restarted from the checkpoint, the system pre",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring LIFO for Kafka,Scenario-Specific Configuration,Component Operation Guide (Normal)",
+		"title":"Configuring LIFO for Kafka",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1960.html",
+		"product_code":"mrs",
+		"code":"601",
+		"des":"When the Spark Streaming application is connected to Kafka and the application is restarted, the application reads data from Kafka based on the last read topic offset and",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Reliability for Connected Kafka,Scenario-Specific Configuration,Component Operation Guid",
+		"title":"Configuring Reliability for Connected Kafka",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1961.html",
+		"product_code":"mrs",
+		"code":"602",
+		"des":"When a query statement is executed, the returned result may be large (containing more than 100,000 records). In this case, JDBCServer out of memory (OOM) may occur. There",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Streaming Reading of Driver Execution Results,Scenario-Specific Configuration,Component ",
+		"title":"Configuring Streaming Reading of Driver Execution Results",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1962.html",
+		"product_code":"mrs",
+		"code":"603",
+		"des":"When you perform the select query in Hive partitioned tables, the FileNotFoundException exception is displayed if a specified partition path does not exist in HDFS. To av",
+		"doc_type":"cmpntguide",
+		"kw":"Filtering Partitions without Paths in Partitioned Tables,Scenario-Specific Configuration,Component O",
+		"title":"Filtering Partitions without Paths in Partitioned Tables",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1963.html",
+		"product_code":"mrs",
+		"code":"604",
+		"des":"Users need to implement security protection for Spark2x web UI when some data on the UI cannot be viewed by other users. Once a user attempts to log in to the UI, Spark2x",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Spark2x Web UI ACLs,Scenario-Specific Configuration,Component Operation Guide (Normal)",
+		"title":"Configuring Spark2x Web UI ACLs",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1964.html",
+		"product_code":"mrs",
+		"code":"605",
+		"des":"ORC is a column-based storage format in the Hadoop ecosystem. It originates from Apache Hive and is used to reduce the Hadoop data storage space and accelerate the Hive q",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Vector-based ORC Data Reading,Scenario-Specific Configuration,Component Operation Guide ",
+		"title":"Configuring Vector-based ORC Data Reading",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1965.html",
+		"product_code":"mrs",
+		"code":"606",
+		"des":"In earlier versions, the predicate for pruning Hive table partitions is pushed down. Only comparison expressions between column names and integers or character strings ca",
+		"doc_type":"cmpntguide",
+		"kw":"Broaden Support for Hive Partition Pruning Predicate Pushdown,Scenario-Specific Configuration,Compon",
+		"title":"Broaden Support for Hive Partition Pruning Predicate Pushdown",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1966.html",
+		"product_code":"mrs",
+		"code":"607",
+		"des":"In earlier versions, when the insert overwrite syntax is used to overwrite partition tables, only partitions with specified expressions are matched, and partitions withou",
+		"doc_type":"cmpntguide",
+		"kw":"Hive Dynamic Partition Overwriting Syntax,Scenario-Specific Configuration,Component Operation Guide ",
+		"title":"Hive Dynamic Partition Overwriting Syntax",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1967.html",
+		"product_code":"mrs",
+		"code":"608",
+		"des":"The execution plan for SQL statements is optimized in Spark. Common optimization rules are heuristic optimization rules. Heuristic optimization rules are provided based o",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring the Column Statistics Histogram to Enhance the CBO Accuracy,Scenario-Specific Configurat",
+		"title":"Configuring the Column Statistics Histogram to Enhance the CBO Accuracy",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1969.html",
+		"product_code":"mrs",
+		"code":"609",
+		"des":"JobHistory can use local disks to cache the historical data of Spark applications to prevent the JobHistory memory from loading a large amount of application data, reduci",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Local Disk Cache for JobHistory,Scenario-Specific Configuration,Component Operation Guid",
+		"title":"Configuring Local Disk Cache for JobHistory",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1970.html",
+		"product_code":"mrs",
+		"code":"610",
+		"des":"The Spark SQL adaptive execution feature enables Spark SQL to optimize subsequent execution processes based on intermediate results to improve overall execution efficienc",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Spark SQL to Enable the Adaptive Execution Feature,Scenario-Specific Configuration,Compo",
+		"title":"Configuring Spark SQL to Enable the Adaptive Execution Feature",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24170.html",
+		"product_code":"mrs",
+		"code":"611",
+		"des":"When the event log mode is enabled for Spark, that is, spark.eventLog.enabled is set to true, events are written to a configured log file to record the program running pr",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Event Log Rollover,Scenario-Specific Configuration,Component Operation Guide (Normal)",
+		"title":"Configuring Event Log Rollover",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2317.html",
+		"product_code":"mrs",
+		"code":"612",
+		"des":"When Ranger is used as the permission management service of Spark SQL, the certificate in the cluster is required for accessing RangerAdmin. If you use a third-party JDK ",
+		"doc_type":"cmpntguide",
+		"kw":"Adapting to the Third-party JDK When Ranger Is Used,Basic Operation,Component Operation Guide (Norma",
+		"title":"Adapting to the Third-party JDK When Ranger Is Used",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1971.html",
+		"product_code":"mrs",
+		"code":"613",
+		"des":"Log paths:Executor run log: ${BIGDATA_DATA_HOME}/hadoop/data${i}/nm/containerlogs/application_${appid}/container_{$contid}The logs of running tasks are stored in the prec",
+		"doc_type":"cmpntguide",
+		"kw":"Spark2x Logs,Using Spark2x,Component Operation Guide (Normal)",
+		"title":"Spark2x Logs",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1972.html",
+		"product_code":"mrs",
+		"code":"614",
+		"des":"Container logs of running Spark applications are distributed on multiple nodes. This section describes how to quickly obtain container logs.You can run the yarn logs comm",
+		"doc_type":"cmpntguide",
+		"kw":"Obtaining Container Logs of a Running Spark Application,Using Spark2x,Component Operation Guide (Nor",
+		"title":"Obtaining Container Logs of a Running Spark Application",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1973.html",
+		"product_code":"mrs",
+		"code":"615",
+		"des":"In a large-scale Hadoop production cluster, HDFS metadata is stored in the NameNode memory, and the cluster scale is restricted by the memory limitation of each NameNode.",
+		"doc_type":"cmpntguide",
+		"kw":"Small File Combination Tools,Using Spark2x,Component Operation Guide (Normal)",
+		"title":"Small File Combination Tools",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2362.html",
+		"product_code":"mrs",
+		"code":"616",
+		"des":"The first query of CarbonData is slow, which may cause a delay for nodes that have high requirements on real-time performance.The tool provides the following functions:Pr",
+		"doc_type":"cmpntguide",
+		"kw":"Using CarbonData for First Query,Using Spark2x,Component Operation Guide (Normal)",
+		"title":"Using CarbonData for First Query",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1974.html",
+		"product_code":"mrs",
+		"code":"617",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Spark2x Performance Tuning",
+		"title":"Spark2x Performance Tuning",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1975.html",
+		"product_code":"mrs",
+		"code":"618",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Spark Core Tuning",
+		"title":"Spark Core Tuning",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1976.html",
+		"product_code":"mrs",
+		"code":"619",
+		"des":"Spark supports the following types of serialization:JavaSerializerKryoSerializerData serialization affects the Spark application performance. In specific data format, Kry",
+		"doc_type":"cmpntguide",
+		"kw":"Data Serialization,Spark Core Tuning,Component Operation Guide (Normal)",
+		"title":"Data Serialization",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1977.html",
+		"product_code":"mrs",
+		"code":"620",
+		"des":"Spark is a memory-based computing frame. If the memory is insufficient during computing, the Spark execution efficiency will be adversely affected. You can determine whet",
+		"doc_type":"cmpntguide",
+		"kw":"Optimizing Memory Configuration,Spark Core Tuning,Component Operation Guide (Normal)",
+		"title":"Optimizing Memory Configuration",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1978.html",
+		"product_code":"mrs",
+		"code":"621",
+		"des":"The degree of parallelism (DOP) specifies the number of tasks to be executed concurrently. It determines the number of data blocks after the shuffle operation. Configure ",
+		"doc_type":"cmpntguide",
+		"kw":"Setting the DOP,Spark Core Tuning,Component Operation Guide (Normal)",
+		"title":"Setting the DOP",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1979.html",
+		"product_code":"mrs",
+		"code":"622",
+		"des":"Broadcast distributes data sets to each node. It allows data to be obtained locally when a data set is needed during a Spark task. If broadcast is not used, data serializ",
+		"doc_type":"cmpntguide",
+		"kw":"Using Broadcast Variables,Spark Core Tuning,Component Operation Guide (Normal)",
+		"title":"Using Broadcast Variables",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1980.html",
+		"product_code":"mrs",
+		"code":"623",
+		"des":"When the Spark system runs applications that contain a shuffle process, an executor process also writes shuffle data and provides shuffle data for other executors in addi",
+		"doc_type":"cmpntguide",
+		"kw":"Using the external shuffle service to improve performance,Spark Core Tuning,Component Operation Guid",
+		"title":"Using the external shuffle service to improve performance",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1981.html",
+		"product_code":"mrs",
+		"code":"624",
+		"des":"Resources are a key factor that affects Spark execution efficiency. When a long-running service (such as the JDBCServer) is allocated with multiple executors without task",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Dynamic Resource Scheduling in Yarn Mode,Spark Core Tuning,Component Operation Guide (No",
+		"title":"Configuring Dynamic Resource Scheduling in Yarn Mode",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1982.html",
+		"product_code":"mrs",
+		"code":"625",
+		"des":"There are three processes in Spark on Yarn mode: driver, ApplicationMaster, and executor. The Driver and Executor handle the scheduling and running of the task. The Appli",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Process Parameters,Spark Core Tuning,Component Operation Guide (Normal)",
+		"title":"Configuring Process Parameters",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1983.html",
+		"product_code":"mrs",
+		"code":"626",
+		"des":"Optimal program structure helps increase execution efficiency. During application programming, avoid shuffle operations and combine narrow-dependency operations.This topi",
+		"doc_type":"cmpntguide",
+		"kw":"Designing the Direction Acyclic Graph (DAG),Spark Core Tuning,Component Operation Guide (Normal)",
+		"title":"Designing the Direction Acyclic Graph (DAG)",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1984.html",
+		"product_code":"mrs",
+		"code":"627",
+		"des":"If the overhead of each record is high, for example:Use mapPartitions to calculate data by partition.Use mapPartitions to flexibly operate data. For example, to calculate",
+		"doc_type":"cmpntguide",
+		"kw":"Experience,Spark Core Tuning,Component Operation Guide (Normal)",
+		"title":"Experience",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1985.html",
+		"product_code":"mrs",
+		"code":"628",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Spark SQL and DataFrame Tuning",
+		"title":"Spark SQL and DataFrame Tuning",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1986.html",
+		"product_code":"mrs",
+		"code":"629",
+		"des":"When two tables are joined in Spark SQL, the broadcast function (see section \"Using Broadcast Variables\") can be used to broadcast tables to each node. This minimizes shu",
+		"doc_type":"cmpntguide",
+		"kw":"Optimizing the Spark SQL Join Operation,Spark SQL and DataFrame Tuning,Component Operation Guide (No",
+		"title":"Optimizing the Spark SQL Join Operation",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1987.html",
+		"product_code":"mrs",
+		"code":"630",
+		"des":"When multiple tables are joined in Spark SQL, skew occurs in join keys and the data volume in some Hash buckets is much higher than that in other buckets. As a result, so",
+		"doc_type":"cmpntguide",
+		"kw":"Improving Spark SQL Calculation Performance Under Data Skew,Spark SQL and DataFrame Tuning,Component",
+		"title":"Improving Spark SQL Calculation Performance Under Data Skew",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1988.html",
+		"product_code":"mrs",
+		"code":"631",
+		"des":"A Spark SQL table may have many small files (far smaller than an HDFS block), each of which maps to a partition on the Spark by default. In other words, each small file i",
+		"doc_type":"cmpntguide",
+		"kw":"Optimizing Spark SQL Performance in the Small File Scenario,Spark SQL and DataFrame Tuning,Component",
+		"title":"Optimizing Spark SQL Performance in the Small File Scenario",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1989.html",
+		"product_code":"mrs",
+		"code":"632",
+		"des":"The INSERT...SELECT operation needs to be optimized if any of the following conditions is true:Many small files need to be queried.A few large files need to be queried.Th",
+		"doc_type":"cmpntguide",
+		"kw":"Optimizing the INSERT...SELECT Operation,Spark SQL and DataFrame Tuning,Component Operation Guide (N",
+		"title":"Optimizing the INSERT...SELECT Operation",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1990.html",
+		"product_code":"mrs",
+		"code":"633",
+		"des":"Multiple clients can be connected to JDBCServer at the same time. However, if the number of concurrent tasks is too large, the default configuration of JDBCServer must be",
+		"doc_type":"cmpntguide",
+		"kw":"Multiple JDBC Clients Concurrently Connecting to JDBCServer,Spark SQL and DataFrame Tuning,Component",
+		"title":"Multiple JDBC Clients Concurrently Connecting to JDBCServer",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1992.html",
+		"product_code":"mrs",
+		"code":"634",
+		"des":"When SparkSQL inserts data to dynamic partitioned tables, the more partitions there are, the more HDFS files a single task generates and the more memory metadata occupies",
+		"doc_type":"cmpntguide",
+		"kw":"Optimizing Memory when Data Is Inserted into Dynamic Partitioned Tables,Spark SQL and DataFrame Tuni",
+		"title":"Optimizing Memory when Data Is Inserted into Dynamic Partitioned Tables",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1995.html",
+		"product_code":"mrs",
+		"code":"635",
+		"des":"A Spark SQL table may have many small files (far smaller than an HDFS block), each of which maps to a partition on the Spark by default. In other words, each small file i",
+		"doc_type":"cmpntguide",
+		"kw":"Optimizing Small Files,Spark SQL and DataFrame Tuning,Component Operation Guide (Normal)",
+		"title":"Optimizing Small Files",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1996.html",
+		"product_code":"mrs",
+		"code":"636",
+		"des":"Spark SQL supports hash aggregate algorithm. Namely, use fast aggregate hashmap as cache to improve aggregate performance. The hashmap replaces the previous ColumnarBatch",
+		"doc_type":"cmpntguide",
+		"kw":"Optimizing the Aggregate Algorithms,Spark SQL and DataFrame Tuning,Component Operation Guide (Normal",
+		"title":"Optimizing the Aggregate Algorithms",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1997.html",
+		"product_code":"mrs",
+		"code":"637",
+		"des":"Save the partition information about the datasource table to the Metastore and process partition information in the Metastore.Optimize the datasource tables, support synt",
+		"doc_type":"cmpntguide",
+		"kw":"Optimizing Datasource Tables,Spark SQL and DataFrame Tuning,Component Operation Guide (Normal)",
+		"title":"Optimizing Datasource Tables",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1998.html",
+		"product_code":"mrs",
+		"code":"638",
+		"des":"Spark SQL supports rule-based optimization by default. However, the rule-based optimization cannot ensure that Spark selects the optimal query plan. Cost-Based Optimizer ",
+		"doc_type":"cmpntguide",
+		"kw":"Merging CBO,Spark SQL and DataFrame Tuning,Component Operation Guide (Normal)",
+		"title":"Merging CBO",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1999.html",
+		"product_code":"mrs",
+		"code":"639",
+		"des":"This section describes how to enable or disable the query optimization for inter-source complex SQL.(Optional) Prepare for connecting to the MPPDB data source.If the data",
+		"doc_type":"cmpntguide",
+		"kw":"Optimizing SQL Query of Data of Multiple Sources,Spark SQL and DataFrame Tuning,Component Operation ",
+		"title":"Optimizing SQL Query of Data of Multiple Sources",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2000.html",
+		"product_code":"mrs",
+		"code":"640",
+		"des":"This section describes the optimization suggestions for SQL statements in multi-level nesting and hybrid join scenarios.The following provides an example of complex query",
+		"doc_type":"cmpntguide",
+		"kw":"SQL Optimization for Multi-level Nesting and Hybrid Join,Spark SQL and DataFrame Tuning,Component Op",
+		"title":"SQL Optimization for Multi-level Nesting and Hybrid Join",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2001.html",
+		"product_code":"mrs",
+		"code":"641",
+		"des":"Streaming is a mini-batch streaming processing framework that features second-level delay and high throughput. To optimize Streaming is to improve its throughput while ma",
+		"doc_type":"cmpntguide",
+		"kw":"Spark Streaming Tuning,Spark2x Performance Tuning,Component Operation Guide (Normal)",
+		"title":"Spark Streaming Tuning",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2002.html",
+		"product_code":"mrs",
+		"code":"642",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Common Issues About Spark2x",
+		"title":"Common Issues About Spark2x",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2003.html",
+		"product_code":"mrs",
+		"code":"643",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Spark Core",
+		"title":"Spark Core",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2004.html",
+		"product_code":"mrs",
+		"code":"644",
+		"des":"How do I view the aggregated container logs on the page when the log aggregation function is enabled on YARN?For details, see Viewing Aggregated Container Logs on the Web",
+		"doc_type":"cmpntguide",
+		"kw":"How Do I View Aggregated Spark Application Logs?,Spark Core,Component Operation Guide (Normal)",
+		"title":"How Do I View Aggregated Spark Application Logs?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2005.html",
+		"product_code":"mrs",
+		"code":"645",
+		"des":"Communication between ApplicationMaster and ResourceManager remains abnormal for a long time. Why is the driver return code inconsistent with application status on Resour",
+		"doc_type":"cmpntguide",
+		"kw":"Why Is the Return Code of Driver Inconsistent with Application State Displayed on ResourceManager We",
+		"title":"Why Is the Return Code of Driver Inconsistent with Application State Displayed on ResourceManager WebUI?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2006.html",
+		"product_code":"mrs",
+		"code":"646",
+		"des":"Why cannot exit the Driver process after running the yarn application -kill applicationID command to stop the Spark Streaming application?Running the yarn application -ki",
+		"doc_type":"cmpntguide",
+		"kw":"Why Cannot Exit the Driver Process?,Spark Core,Component Operation Guide (Normal)",
+		"title":"Why Cannot Exit the Driver Process?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2007.html",
+		"product_code":"mrs",
+		"code":"647",
+		"des":"On a large cluster of 380 nodes, run the ScalaSort test case in the HiBench test that runs the 29T data, and configure Executor as --executor-cores 4. The following abnor",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does FetchFailedException Occur When the Network Connection Is Timed out,Spark Core,Component Op",
+		"title":"Why Does FetchFailedException Occur When the Network Connection Is Timed out",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2008.html",
+		"product_code":"mrs",
+		"code":"648",
+		"des":"How to configure the event queue size if the following Driver log information is displayed indicating that the event queue overflows?Common applicationsDropping SparkList",
+		"doc_type":"cmpntguide",
+		"kw":"How to Configure Event Queue Size If Event Queue Overflows?,Spark Core,Component Operation Guide (No",
+		"title":"How to Configure Event Queue Size If Event Queue Overflows?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2009.html",
+		"product_code":"mrs",
+		"code":"649",
+		"des":"During Spark application execution, if the driver fails to connect to ResourceManager, the following error is reported and it does not exit for a long time. What can I do",
+		"doc_type":"cmpntguide",
+		"kw":"What Can I Do If the getApplicationReport Exception Is Recorded in Logs During Spark Application Exe",
+		"title":"What Can I Do If the getApplicationReport Exception Is Recorded in Logs During Spark Application Execution and the Application Does Not Exit for a Long Time?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2010.html",
+		"product_code":"mrs",
+		"code":"650",
+		"des":"When Spark executes an application, an error similar to the following is reported and the application ends. What can I do?Symptom: The value of spark.rpc.io.connectionTim",
+		"doc_type":"cmpntguide",
+		"kw":"What Can I Do If \"Connection to ip:port has been quiet for xxx ms while there are outstanding reques",
+		"title":"What Can I Do If \"Connection to ip:port has been quiet for xxx ms while there are outstanding requests\" Is Reported When Spark Executes an Application and the Application Ends?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2011.html",
+		"product_code":"mrs",
+		"code":"651",
+		"des":"If the NodeManager is shut down with the Executor dynamic allocation enabled, the Executors on the node where the NodeManeger is shut down fail to be removed from the dri",
+		"doc_type":"cmpntguide",
+		"kw":"Why Do Executors Fail to be Removed After the NodeManeger Is Shut Down?,Spark Core,Component Operati",
+		"title":"Why Do Executors Fail to be Removed After the NodeManeger Is Shut Down?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2012.html",
+		"product_code":"mrs",
+		"code":"652",
+		"des":"ExternalShuffle is enabled for the application that runs Spark. Task loss occurs in the application because the message \"java.lang.NullPointerException: Password cannot b",
+		"doc_type":"cmpntguide",
+		"kw":"What Can I Do If the Message \"Password cannot be null if SASL is enabled\" Is Displayed?,Spark Core,C",
+		"title":"What Can I Do If the Message \"Password cannot be null if SASL is enabled\" Is Displayed?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2013.html",
+		"product_code":"mrs",
+		"code":"653",
+		"des":"When inserting data into the dynamic partition table, a large number of shuffle files are damaged due to the disk disconnection, node error, and the like. In this case, w",
+		"doc_type":"cmpntguide",
+		"kw":"What Should I Do If the Message \"Failed to CREATE_FILE\" Is Displayed in the Restarted Tasks When Dat",
+		"title":"What Should I Do If the Message \"Failed to CREATE_FILE\" Is Displayed in the Restarted Tasks When Data Is Inserted Into the Dynamic Partition Table?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2014.html",
+		"product_code":"mrs",
+		"code":"654",
+		"des":"When Hash shuffle is used to run a job that consists of 1000000 map tasks x 100000 reduce tasks, run logs report many message failures and Executor heartbeat timeout, lea",
+		"doc_type":"cmpntguide",
+		"kw":"Why Tasks Fail When Hash Shuffle Is Used?,Spark Core,Component Operation Guide (Normal)",
+		"title":"Why Tasks Fail When Hash Shuffle Is Used?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2015.html",
+		"product_code":"mrs",
+		"code":"655",
+		"des":"When the http(s)://<spark ip>:<spark port> mode is used to access the Spark JobHistory page, if the displayed Spark JobHistory page is not the page of FusionInsight Manag",
+		"doc_type":"cmpntguide",
+		"kw":"What Can I Do If the Error Message \"DNS query failed\" Is Displayed When I Access the Aggregated Logs",
+		"title":"What Can I Do If the Error Message \"DNS query failed\" Is Displayed When I Access the Aggregated Logs Page of Spark Applications?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2016.html",
+		"product_code":"mrs",
+		"code":"656",
+		"des":"When I execute a 100 TB TPC-DS test suite in the JDBCServer mode, the \"Timeout waiting for task\" is displayed. As a result, shuffle fetch fails, the stage keeps retrying,",
+		"doc_type":"cmpntguide",
+		"kw":"What Can I Do If Shuffle Fetch Fails Due to the \"Timeout Waiting for Task\" Exception?,Spark Core,Com",
+		"title":"What Can I Do If Shuffle Fetch Fails Due to the \"Timeout Waiting for Task\" Exception?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2017.html",
+		"product_code":"mrs",
+		"code":"657",
+		"des":"When I run Spark tasks with a large data volume, for example, 100 TB TPCDS test suite, why does the Stage retry due to Executor loss sometimes? The message \"Executor 532 ",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does the Stage Retry due to the Crash of the Executor?,Spark Core,Component Operation Guide (Nor",
+		"title":"Why Does the Stage Retry due to the Crash of the Executor?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2018.html",
+		"product_code":"mrs",
+		"code":"658",
+		"des":"When more than 50 terabytes of data is shuffled, some executors fail to register shuffle services due to timeout. The shuffle tasks then fail. Why? The error log is as fo",
+		"doc_type":"cmpntguide",
+		"kw":"Why Do the Executors Fail to Register Shuffle Services During the Shuffle of a Large Amount of Data?",
+		"title":"Why Do the Executors Fail to Register Shuffle Services During the Shuffle of a Large Amount of Data?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2019.html",
+		"product_code":"mrs",
+		"code":"659",
+		"des":"During the execution of Spark applications, if the YARN External Shuffle service is enabled and there are too many shuffle tasks, the java.lang.OutofMemoryError: Direct b",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does the Out of Memory Error Occur in NodeManager During the Execution of Spark Applications,Spa",
+		"title":"Why Does the Out of Memory Error Occur in NodeManager During the Execution of Spark Applications",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2021.html",
+		"product_code":"mrs",
+		"code":"660",
+		"des":"Execution of the sparkbench task (for example, Wordcount) of HiBench6 fails. The bench.log indicates that the Yarn task fails to be executed. The failure information disp",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does the Realm Information Fail to Be Obtained When SparkBench is Run on HiBench for the Cluster",
+		"title":"Why Does the Realm Information Fail to Be Obtained When SparkBench is Run on HiBench for the Cluster in Security Mode?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2022.html",
+		"product_code":"mrs",
+		"code":"661",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Spark SQL and DataFrame",
+		"title":"Spark SQL and DataFrame",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2023.html",
+		"product_code":"mrs",
+		"code":"662",
+		"des":"Suppose that there is a table src(d1, d2, m) with the following data:The results for statement \"select d1, sum(d1) from src group by d1, d2 with rollup\" are shown as belo",
+		"doc_type":"cmpntguide",
+		"kw":"What Do I have to Note When Using Spark SQL ROLLUP and CUBE?,Spark SQL and DataFrame,Component Opera",
+		"title":"What Do I have to Note When Using Spark SQL ROLLUP and CUBE?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2024.html",
+		"product_code":"mrs",
+		"code":"663",
+		"des":"Why temporary tables of the previous database are displayed after the database is switched?Create a temporary DataSource table, for example:create temporary table ds_parq",
+		"doc_type":"cmpntguide",
+		"kw":"Why Spark SQL Is Displayed as a Temporary Table in Different Databases?,Spark SQL and DataFrame,Comp",
+		"title":"Why Spark SQL Is Displayed as a Temporary Table in Different Databases?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2025.html",
+		"product_code":"mrs",
+		"code":"664",
+		"des":"Is it possible to assign parameter values through Spark commands, in addition to through a user interface or a configuration file?Spark configuration options can be defin",
+		"doc_type":"cmpntguide",
+		"kw":"How to Assign a Parameter Value in a Spark Command?,Spark SQL and DataFrame,Component Operation Guid",
+		"title":"How to Assign a Parameter Value in a Spark Command?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2026.html",
+		"product_code":"mrs",
+		"code":"665",
+		"des":"The following error information is displayed when a new user creates a table using SparkSQL:When you create a table using Spark SQL, the interface of Hive is called by th",
+		"doc_type":"cmpntguide",
+		"kw":"What Directory Permissions Do I Need to Create a Table Using SparkSQL?,Spark SQL and DataFrame,Compo",
+		"title":"What Directory Permissions Do I Need to Create a Table Using SparkSQL?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2027.html",
+		"product_code":"mrs",
+		"code":"666",
+		"des":"Why do I fail to delete the UDF using another service, for example, delete the UDF created by Hive using Spark SQL.The UDF can be created using any of the following servi",
+		"doc_type":"cmpntguide",
+		"kw":"Why Do I Fail to Delete the UDF Using Another Service?,Spark SQL and DataFrame,Component Operation G",
+		"title":"Why Do I Fail to Delete the UDF Using Another Service?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2028.html",
+		"product_code":"mrs",
+		"code":"667",
+		"des":"Why cannot I query newly inserted data in a parquet Hive table using SparkSQL? This problem occurs in the following scenarios:For partitioned tables and non-partitioned t",
+		"doc_type":"cmpntguide",
+		"kw":"Why Cannot I Query Newly Inserted Data in a Parquet Hive Table Using SparkSQL?,Spark SQL and DataFra",
+		"title":"Why Cannot I Query Newly Inserted Data in a Parquet Hive Table Using SparkSQL?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2029.html",
+		"product_code":"mrs",
+		"code":"668",
+		"des":"What is cache table used for? Which point should I pay attention to while using cache table?Spark SQL caches tables into memory so that data can be directly read from mem",
+		"doc_type":"cmpntguide",
+		"kw":"How to Use Cache Table?,Spark SQL and DataFrame,Component Operation Guide (Normal)",
+		"title":"How to Use Cache Table?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2030.html",
+		"product_code":"mrs",
+		"code":"669",
+		"des":"During the repartition operation, the number of blocks (spark.sql.shuffle.partitions) is set to 4,500, and the number of keys used by repartition exceeds 4,000. It is exp",
+		"doc_type":"cmpntguide",
+		"kw":"Why Are Some Partitions Empty During Repartition?,Spark SQL and DataFrame,Component Operation Guide ",
+		"title":"Why Are Some Partitions Empty During Repartition?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2031.html",
+		"product_code":"mrs",
+		"code":"670",
+		"des":"When the default configuration is used, 16 terabytes of text data fails to be converted into 4 terabytes of parquet data, and the error information below is displayed. Wh",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does 16 Terabytes of Text Data Fails to Be Converted into 4 Terabytes of Parquet Data?,Spark SQL",
+		"title":"Why Does 16 Terabytes of Text Data Fails to Be Converted into 4 Terabytes of Parquet Data?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2033.html",
+		"product_code":"mrs",
+		"code":"671",
+		"des":"When the table name is set to table, why the error information similar to the following is displayed after the drop table table command or other command is run?The word t",
+		"doc_type":"cmpntguide",
+		"kw":"Why the Operation Fails When the Table Name Is TABLE?,Spark SQL and DataFrame,Component Operation Gu",
+		"title":"Why the Operation Fails When the Table Name Is TABLE?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2034.html",
+		"product_code":"mrs",
+		"code":"672",
+		"des":"When the analyze table statement is executed using spark-sql, the task is suspended and the information below is displayed. Why?When the statement is executed, the SQL st",
+		"doc_type":"cmpntguide",
+		"kw":"Why Is a Task Suspended When the ANALYZE TABLE Statement Is Executed and Resources Are Insufficient?",
+		"title":"Why Is a Task Suspended When the ANALYZE TABLE Statement Is Executed and Resources Are Insufficient?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2035.html",
+		"product_code":"mrs",
+		"code":"673",
+		"des":"If I access a parquet table on which I do not have permission, why a job is run before \"Missing Privileges\" is displayed?The execution sequence of Spark SQL statement par",
+		"doc_type":"cmpntguide",
+		"kw":"If I Access a parquet Table on Which I Do not Have Permission, Why a Job Is Run Before \"Missing Priv",
+		"title":"If I Access a parquet Table on Which I Do not Have Permission, Why a Job Is Run Before \"Missing Privileges\" Is Displayed?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2036.html",
+		"product_code":"mrs",
+		"code":"674",
+		"des":"When do I fail to modify the metadata in the datasource and Spark on HBase table by running the Hive command?The current Spark version does not support modifying the meta",
+		"doc_type":"cmpntguide",
+		"kw":"Why Do I Fail to Modify MetaData by Running the Hive Command?,Spark SQL and DataFrame,Component Oper",
+		"title":"Why Do I Fail to Modify MetaData by Running the Hive Command?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2037.html",
+		"product_code":"mrs",
+		"code":"675",
+		"des":"After successfully running Spark tasks with large data volume, for example, 2-TB TPCDS test suite, why is the abnormal stack information \"RejectedExecutionException\" disp",
+		"doc_type":"cmpntguide",
+		"kw":"Why Is \"RejectedExecutionException\" Displayed When I Exit Spark SQL?,Spark SQL and DataFrame,Compone",
+		"title":"Why Is \"RejectedExecutionException\" Displayed When I Exit Spark SQL?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2038.html",
+		"product_code":"mrs",
+		"code":"676",
+		"des":"During a health check, if the concurrent statements exceed the threshold of the thread pool, the health check statements fail to be executed, the health check program tim",
+		"doc_type":"cmpntguide",
+		"kw":"What Should I Do If the JDBCServer Process is Mistakenly Killed During a Health Check?,Spark SQL and",
+		"title":"What Should I Do If the JDBCServer Process is Mistakenly Killed During a Health Check?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2039.html",
+		"product_code":"mrs",
+		"code":"677",
+		"des":"Why no result is found when 2016-6-30 is set in the date field as the filter condition?As shown in the following figure, trx_dte_par in the select count (*) from trxfintr",
+		"doc_type":"cmpntguide",
+		"kw":"Why No Result Is found When 2016-6-30 Is Set in the Date Field as the Filter Condition?,Spark SQL an",
+		"title":"Why No Result Is found When 2016-6-30 Is Set in the Date Field as the Filter Condition?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2040.html",
+		"product_code":"mrs",
+		"code":"678",
+		"des":"Why does the --hivevaroption I specified in the command for starting spark-beeline fail to take effect?In the V100R002C60 version, if I use the --hivevar <VAR_NAME>=<var_",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does the \"--hivevar\" Option I Specified in the Command for Starting spark-beeline Fail to Take E",
+		"title":"Why Does the \"--hivevar\" Option I Specified in the Command for Starting spark-beeline Fail to Take Effect?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2041.html",
+		"product_code":"mrs",
+		"code":"679",
+		"des":"In normal mode, when I create a temporary table or view in spark-beeline, the error message \"Permission denied\" is displayed, indicating that I have no permissions on the",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does the \"Permission denied\" Exception Occur When I Create a Temporary Table or View in Spark-be",
+		"title":"Why Does the \"Permission denied\" Exception Occur When I Create a Temporary Table or View in Spark-beeline?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2042.html",
+		"product_code":"mrs",
+		"code":"680",
+		"des":"When I run a complex SQL statement, for example, SQL statements with multiple layers of nesting statements and a single layer statement contains a large number of logic c",
+		"doc_type":"cmpntguide",
+		"kw":"Why Is the \"Code of method ... grows beyond 64 KB\" Error Message Displayed When I Run Complex SQL St",
+		"title":"Why Is the \"Code of method ... grows beyond 64 KB\" Error Message Displayed When I Run Complex SQL Statements?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2043.html",
+		"product_code":"mrs",
+		"code":"681",
+		"des":"When the driver memory is set to 10 GB and the 10 TB TPCDS test suites are continuously run in Beeline/JDBCServer mode, SQL statements fail to be executed due to insuffic",
+		"doc_type":"cmpntguide",
+		"kw":"Why Is Memory Insufficient if 10 Terabytes of TPCDS Test Suites Are Consecutively Run in Beeline/JDB",
+		"title":"Why Is Memory Insufficient if 10 Terabytes of TPCDS Test Suites Are Consecutively Run in Beeline/JDBCServer Mode?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2044.html",
+		"product_code":"mrs",
+		"code":"682",
+		"des":"Scenario 1I set up permanent functions using the add jar statement. After Beeline connects to different JDBCServer or  JDBCServer is restarted, I have to run the add jar ",
+		"doc_type":"cmpntguide",
+		"kw":"Why Are Some Functions Not Available when Another JDBCServer Is Connected?,Spark SQL and DataFrame,C",
+		"title":"Why Are Some Functions Not Available when Another JDBCServer Is Connected?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2046.html",
+		"product_code":"mrs",
+		"code":"683",
+		"des":"When Spark2x accesses the DataSource table created by Spark1.5, a message is displayed indicating that schema information cannot be obtained. As a result, the table canno",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does Spark2x Have No Access to DataSource Tables Created by Spark1.5?,Spark SQL and DataFrame,Co",
+		"title":"Why Does Spark2x Have No Access to DataSource Tables Created by Spark1.5?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2047.html",
+		"product_code":"mrs",
+		"code":"684",
+		"des":"Why does \"Failed to create ThriftService instance\" occur when spark beeline fails to run?Beeline logs are as follows:In addition, the \"Timed out waiting for client to con",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does Spark-beeline Fail to Run and Error Message \"Failed to create ThriftService instance\" Is Di",
+		"title":"Why Does Spark-beeline Fail to Run and Error Message \"Failed to create ThriftService instance\" Is Displayed?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24491.html",
+		"product_code":"",
+		"code":"685",
+		"des":"Why cannot I query newly inserted data in an ORC Hive table using Spark SQL? This problem occurs in the following scenarios:For partitioned tables and non-partitioned tab",
+		"doc_type":"",
+		"kw":"Why Cannot I Query Newly Inserted Data in an ORC Hive Table Using Spark SQL?,Spark SQL and DataFrame",
+		"title":"Why Cannot I Query Newly Inserted Data in an ORC Hive Table Using Spark SQL?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2048.html",
+		"product_code":"mrs",
+		"code":"686",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Spark Streaming",
+		"title":"Spark Streaming",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2050.html",
+		"product_code":"mrs",
+		"code":"687",
+		"des":"After a Spark Streaming task is run and data is input, no processing result is displayed. Open the web page to view the Spark job execution status. The following figure s",
+		"doc_type":"cmpntguide",
+		"kw":"What Can I Do If Spark Streaming Tasks Are Blocked?,Spark Streaming,Component Operation Guide (Norma",
+		"title":"What Can I Do If Spark Streaming Tasks Are Blocked?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2051.html",
+		"product_code":"mrs",
+		"code":"688",
+		"des":"When Spark Streaming tasks are running, the data processing performance does not improve significantly as the number of executors increases. What should I pay attention t",
+		"doc_type":"cmpntguide",
+		"kw":"What Should I Pay Attention to When Optimizing Spark Streaming Task Parameters?,Spark Streaming,Comp",
+		"title":"What Should I Pay Attention to When Optimizing Spark Streaming Task Parameters?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2052.html",
+		"product_code":"mrs",
+		"code":"689",
+		"des":"Change the validity period of the Kerberos ticket and HDFS token to 5 minutes, set dfs.namenode.delegation.token.renew-interval to a value less than 60 seconds, and submi",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does the Spark Streaming Application Fail to Be Submitted After the Token Validity Period Expire",
+		"title":"Why Does the Spark Streaming Application Fail to Be Submitted After the Token Validity Period Expires?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2053.html",
+		"product_code":"mrs",
+		"code":"690",
+		"des":"Spark Streaming application creates one input stream without output logic. The application fails to restart from checkpoint and an error will be shown like below:When Str",
+		"doc_type":"cmpntguide",
+		"kw":"Why does Spark Streaming Application Fail to Restart from Checkpoint When It Creates an Input Stream",
+		"title":"Why does Spark Streaming Application Fail to Restart from Checkpoint When It Creates an Input Stream Without Output Logic?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2054.html",
+		"product_code":"mrs",
+		"code":"691",
+		"des":"When the Kafka is restarted during the execution of the Spark Streaming application, the application cannot obtain the topic offset from the Kafka. As a result, the job f",
+		"doc_type":"cmpntguide",
+		"kw":"Why Is the Input Size Corresponding to Batch Time on the Web UI Set to 0 Records When Kafka Is Resta",
+		"title":"Why Is the Input Size Corresponding to Batch Time on the Web UI Set to 0 Records When Kafka Is Restarted During Spark Streaming Running?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2055.html",
+		"product_code":"mrs",
+		"code":"692",
+		"des":"The job information obtained from the restful interface of an ended Spark application is incorrect: the value of numActiveTasks is negative, as shown in Figure 1:numActiv",
+		"doc_type":"cmpntguide",
+		"kw":"Why the Job Information Obtained from the restful Interface of an Ended Spark Application Is Incorre",
+		"title":"Why the Job Information Obtained from the restful Interface of an Ended Spark Application Is Incorrect?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2056.html",
+		"product_code":"mrs",
+		"code":"693",
+		"des":"In FusionInsight, the Spark application is run in yarn-client mode on the client. The following error occurs during the switch from the Yarn web UI to the application web",
+		"doc_type":"cmpntguide",
+		"kw":"Why Cannot I Switch from the Yarn Web UI to the Spark Web UI?,Common Issues About Spark2x,Component ",
+		"title":"Why Cannot I Switch from the Yarn Web UI to the Spark Web UI?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2057.html",
+		"product_code":"mrs",
+		"code":"694",
+		"des":"An error occurs when I access a Spark application page on the HistoryServer page.Check the HistoryServer logs. The \"FileNotFound\" exception is found. The related logs are",
+		"doc_type":"cmpntguide",
+		"kw":"What Can I Do If an Error Occurs when I Access the Application Page Because the Application Cached b",
+		"title":"What Can I Do If an Error Occurs when I Access the Application Page Because the Application Cached by HistoryServer Is Recycled?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2058.html",
+		"product_code":"mrs",
+		"code":"695",
+		"des":"When I run an application with an empty part file in HDFS with the log grouping function enabled, why is not the application displayed on the homepage of JobHistory?On th",
+		"doc_type":"cmpntguide",
+		"kw":"Why Is not an Application Displayed When I Run the Application with the Empty Part File?,Common Issu",
+		"title":"Why Is not an Application Displayed When I Run the Application with the Empty Part File?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2059.html",
+		"product_code":"mrs",
+		"code":"696",
+		"des":"The following code fails to be executed on spark-shell of Spark2x:In Spark2x, the duplicate field name of the join statement is checked. You need to modify the code to en",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does Spark2x Fail to Export a Table with the Same Field Name?,Common Issues About Spark2x,Compon",
+		"title":"Why Does Spark2x Fail to Export a Table with the Same Field Name?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2060.html",
+		"product_code":"mrs",
+		"code":"697",
+		"des":"Why JRE fatal error after running Spark application multiple times?When you run Spark application multiple times, JRE fatal error occurs and this is due to the problem wi",
+		"doc_type":"cmpntguide",
+		"kw":"Why JRE fatal error after running Spark application multiple times?,Common Issues About Spark2x,Comp",
+		"title":"Why JRE fatal error after running Spark application multiple times?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2061.html",
+		"product_code":"mrs",
+		"code":"698",
+		"des":"Occasionally, Internet Explorer 9, Explorer 10, or Explorer 11 fails to access the native Spark2x UI.Internet Explorer 9, Explorer 10, or Explorer 11 fails to access the ",
+		"doc_type":"cmpntguide",
+		"kw":"\"This page can't be displayed\" Is Displayed When Internet Explorer Fails to Access the Native Spark2",
+		"title":"\"This page can't be displayed\" Is Displayed When Internet Explorer Fails to Access the Native Spark2x UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2062.html",
+		"product_code":"mrs",
+		"code":"699",
+		"des":"There are two clusters, cluster 1 and cluster 2. How do I use Spark2x in cluster 1 to access HDFS, Hive, HBase, and Kafka components in cluster 2?Components in two cluste",
+		"doc_type":"cmpntguide",
+		"kw":"How Does Spark2x Access External Cluster Components?,Common Issues About Spark2x,Component Operation",
+		"title":"How Does Spark2x Access External Cluster Components?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2063.html",
+		"product_code":"mrs",
+		"code":"700",
+		"des":"Assume there is a data file path named /test_data_path. User A creates a foreign table named tableA for the directory, and user B creates a foreign table named tableB for",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does the Foreign Table Query Fail When Multiple Foreign Tables Are Created in the Same Directory",
+		"title":"Why Does the Foreign Table Query Fail When Multiple Foreign Tables Are Created in the Same Directory?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2064.html",
+		"product_code":"mrs",
+		"code":"701",
+		"des":"After a Spark application that contains a job with millions of tasks. After the application creation is complete, if you access the native page of the application in JobH",
+		"doc_type":"cmpntguide",
+		"kw":"What Should I Do If the Native Page of an Application of Spark2x JobHistory Fails to Display During ",
+		"title":"What Should I Do If the Native Page of an Application of Spark2x JobHistory Fails to Display During Access to the Page",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2340.html",
+		"product_code":"mrs",
+		"code":"702",
+		"des":"When the OBS ECS/BMS image cluster is connected, after spark-beeline is logged in, an error is reported when a location is specified to create a table on OBS.The permissi",
+		"doc_type":"cmpntguide",
+		"kw":"Why Do I Fail to Create a Table in the Specified Location on OBS After Logging to spark-beeline?,Com",
+		"title":"Why Do I Fail to Create a Table in the Specified Location on OBS After Logging to spark-beeline?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24176.html",
+		"product_code":"mrs",
+		"code":"703",
+		"des":"In some scenarios, the following exception occurs in the Spark shuffle phase:For JDBC:Log in to FusionInsight Manager, change the value of the JDBCServer parameter spark.",
+		"doc_type":"cmpntguide",
+		"kw":"Spark Shuffle Exception Handling,Common Issues About Spark2x,Component Operation Guide (Normal)",
+		"title":"Spark Shuffle Exception Handling",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24453.html",
+		"product_code":"mrs",
+		"code":"704",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using Sqoop",
+		"title":"Using Sqoop",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24454.html",
+		"product_code":"mrs",
+		"code":"705",
+		"des":"Sqoop is an open-source tool for transferring data between Hadoop (Hive) and traditional databases (such as MySQL and PostgreSQL). It can transfer data from a relational ",
+		"doc_type":"cmpntguide",
+		"kw":"Using Sqoop from Scratch,Using Sqoop,Component Operation Guide (Normal)",
+		"title":"Using Sqoop from Scratch",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24455.html",
+		"product_code":"mrs",
+		"code":"706",
+		"des":"Sqoop is a tool designed for efficiently transmitting a large amount of data between Apache Hadoop and structured databases (such as relational databases). Customers need",
+		"doc_type":"cmpntguide",
+		"kw":"Adapting Sqoop 1.4.7 to MRS 3.x Clusters,Using Sqoop,Component Operation Guide (Normal)",
+		"title":"Adapting Sqoop 1.4.7 to MRS 3.x Clusters",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24456.html",
+		"product_code":"mrs",
+		"code":"707",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Common Sqoop Commands and Parameters,Using Sqoop,Component Operation Guide (Normal)",
+		"title":"Common Sqoop Commands and Parameters",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24457.html",
+		"product_code":"mrs",
+		"code":"708",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Common Issues About Sqoop",
+		"title":"Common Issues About Sqoop",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24458.html",
+		"product_code":"mrs",
+		"code":"709",
+		"des":"What should I do if the QueryProvider class is unavailable?Search for the MRS client directory and save the following JAR packages to the lib directory of Sqoop.",
+		"doc_type":"cmpntguide",
+		"kw":"What Should I Do If Class QueryProvider Is Unavailable?,Common Issues About Sqoop,Component Operatio",
+		"title":"What Should I Do If Class QueryProvider Is Unavailable?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24460.html",
+		"product_code":"",
+		"code":"710",
+		"des":"Scenario 1: (import scenarios) Run the sqoop import command to extract the open source PostgreSQL to MRS HDFS or Hive.SymptomThe sqoop command can be executed to query Po",
+		"doc_type":"",
+		"kw":"How Do I Do If PostgreSQL or GaussDB Fails to Connect?,Common Issues About Sqoop,Component Operation",
+		"title":"How Do I Do If PostgreSQL or GaussDB Fails to Connect?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24461.html",
+		"product_code":"",
+		"code":"711",
+		"des":"What should I do if data failed to be synchronized to a Hive table on the OBS using hive-table?Change -hive-table to -hcatalog-table.",
+		"doc_type":"",
+		"kw":"What Should I Do If Data Failed to Be Synchronized to a Hive Table on the OBS Using hive-table?,Comm",
+		"title":"What Should I Do If Data Failed to Be Synchronized to a Hive Table on the OBS Using hive-table?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24462.html",
+		"product_code":"",
+		"code":"712",
+		"des":"What should I do if data failed to be synchronized to the ORC or parquet table using hive-table and error message that contains the kite-sdk package name is displayed?Cha",
+		"doc_type":"",
+		"kw":"What Should I Do If Data Failed to Be Synchronized to an ORC or Parquet Table Using hive-table?,Comm",
+		"title":"What Should I Do If Data Failed to Be Synchronized to an ORC or Parquet Table Using hive-table?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24463.html",
+		"product_code":"",
+		"code":"713",
+		"des":"What should I do if data failed to be synchronized using hive-table?Add the following content to the hive-site.xml file.",
+		"doc_type":"",
+		"kw":"What Should I Do If Data Failed to Be Synchronized Using hive-table?,Common Issues About Sqoop,Compo",
+		"title":"What Should I Do If Data Failed to Be Synchronized Using hive-table?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24464.html",
+		"product_code":"",
+		"code":"714",
+		"des":"When the partition fields in a Hive parquet table are not of the string type, data in the table can be synchronized only using HCatalog. What should I do if the following",
+		"doc_type":"",
+		"kw":"What Should I Do If Data Failed to Be Synchronized to a Hive Parquet Table Using HCatalog?,Common Is",
+		"title":"What Should I Do If Data Failed to Be Synchronized to a Hive Parquet Table Using HCatalog?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24465.html",
+		"product_code":"",
+		"code":"715",
+		"des":"What should I do if the data type of fields timestamp and data is incorrect during data synchronization between Hive and MySQL?Forcibly convert the data type of the times",
+		"doc_type":"",
+		"kw":"What Should I Do If the Data Type of Fields timestamp and data Is Incorrect During Data Synchronizat",
+		"title":"What Should I Do If the Data Type of Fields timestamp and data Is Incorrect During Data Synchronization Between Hive and MySQL?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0380.html",
+		"product_code":"mrs",
+		"code":"716",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using Storm",
+		"title":"Using Storm",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1045.html",
+		"product_code":"mrs",
+		"code":"717",
+		"des":"You can submit and delete Storm topologies on the MRS cluster client.The MRS cluster client has been installed, for example, in the /opt/hadoopclient directory. The clien",
+		"doc_type":"cmpntguide",
+		"kw":"Using Storm from Scratch,Using Storm,Component Operation Guide (Normal)",
+		"title":"Using Storm from Scratch",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2065.html",
+		"product_code":"mrs",
+		"code":"718",
+		"des":"This section describes how to use the Storm client in an O&M scenario or service scenario.You have installed the client. For example, the installation directory is /opt/h",
+		"doc_type":"cmpntguide",
+		"kw":"Using the Storm Client,Using Storm,Component Operation Guide (Normal)",
+		"title":"Using the Storm Client",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0381.html",
+		"product_code":"mrs",
+		"code":"719",
+		"des":"You can submit Storm topologies on the cluster client to continuously process stream data. For clusters with Kerberos authentication enabled, users who submit topologies ",
+		"doc_type":"cmpntguide",
+		"kw":"Submitting Storm Topologies on the Client,Using Storm,Component Operation Guide (Normal)",
+		"title":"Submitting Storm Topologies on the Client",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0382.html",
+		"product_code":"mrs",
+		"code":"720",
+		"des":"The Storm web UI provides a graphical interface for using Storm.The following information can be queried on the Storm web UI:Storm cluster summaryNimbus summaryTopology s",
+		"doc_type":"cmpntguide",
+		"kw":"Accessing the Storm Web UI,Using Storm,Component Operation Guide (Normal)",
+		"title":"Accessing the Storm Web UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0383.html",
+		"product_code":"mrs",
+		"code":"721",
+		"des":"You can manage Storm topologies on the Storm web UI. Users in the storm group can manage only the topology tasks submitted by themselves, while users in the stormadmin gr",
+		"doc_type":"cmpntguide",
+		"kw":"Managing Storm Topologies,Using Storm,Component Operation Guide (Normal)",
+		"title":"Managing Storm Topologies",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0384.html",
+		"product_code":"mrs",
+		"code":"722",
+		"des":"You can query topology logs to check the execution of a Storm topology in a worker process. To query the data processing logs of a topology, enable the Debug function whe",
+		"doc_type":"cmpntguide",
+		"kw":"Querying Storm Topology Logs,Using Storm,Component Operation Guide (Normal)",
+		"title":"Querying Storm Topology Logs",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1046.html",
+		"product_code":"mrs",
+		"code":"723",
+		"des":"This section applies to MRS 3.x or later.For details about how to set parameters, see Modifying Cluster Service Configuration Parameters.",
+		"doc_type":"cmpntguide",
+		"kw":"Storm Common Parameters,Using Storm,Component Operation Guide (Normal)",
+		"title":"Storm Common Parameters",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1047.html",
+		"product_code":"mrs",
+		"code":"724",
+		"des":"This section applies to MRS 3.x or later.After submitting a topology task, a Storm service user must ensure that the task continuously runs. During topology running, the ",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring a Storm Service User Password Policy,Using Storm,Component Operation Guide (Normal)",
+		"title":"Configuring a Storm Service User Password Policy",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1048.html",
+		"product_code":"mrs",
+		"code":"725",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Migrating Storm Services to Flink",
+		"title":"Migrating Storm Services to Flink",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1049.html",
+		"product_code":"mrs",
+		"code":"726",
+		"des":"This section applies to MRS 3.x or later.From 0.10.0, Flink provides a set of APIs to smoothly migrate services compiled using Storm APIs to the Flink platform. This can ",
+		"doc_type":"cmpntguide",
+		"kw":"Overview,Migrating Storm Services to Flink,Component Operation Guide (Normal)",
+		"title":"Overview",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1050.html",
+		"product_code":"mrs",
+		"code":"727",
+		"des":"This section describes how to convert and run a complete Storm topology developed using Storm API.<dependency>\n    <groupId>org.apache.flink</groupId>\n    <artifactId>fli",
+		"doc_type":"cmpntguide",
+		"kw":"Completely Migrating Storm Services,Migrating Storm Services to Flink,Component Operation Guide (Nor",
+		"title":"Completely Migrating Storm Services",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1051.html",
+		"product_code":"mrs",
+		"code":"728",
+		"des":"This section describes how to embed Storm code in DataStream of Flink in embedded migration mode. For example, the code of Spout or Bolt compiled using Storm API is embed",
+		"doc_type":"cmpntguide",
+		"kw":"Performing Embedded Service Migration,Migrating Storm Services to Flink,Component Operation Guide (N",
+		"title":"Performing Embedded Service Migration",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1052.html",
+		"product_code":"mrs",
+		"code":"729",
+		"des":"If the Storm services use the storm-hdfs or storm-hbase plug-in package for interconnection, you need to specify the following security parameters when migrating Storm se",
+		"doc_type":"cmpntguide",
+		"kw":"Migrating Services of External Security Components Interconnected with Storm,Migrating Storm Service",
+		"title":"Migrating Services of External Security Components Interconnected with Storm",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1053.html",
+		"product_code":"mrs",
+		"code":"730",
+		"des":"This section applies to MRS 3.x or later.Log paths: The default paths of Storm log files are /var/log/Bigdata/storm/Role name (run logs) and /var/log/Bigdata/audit/storm/",
+		"doc_type":"cmpntguide",
+		"kw":"Storm Log Introduction,Using Storm,Component Operation Guide (Normal)",
+		"title":"Storm Log Introduction",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1054.html",
+		"product_code":"mrs",
+		"code":"731",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Performance Tuning",
+		"title":"Performance Tuning",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_1055.html",
+		"product_code":"mrs",
+		"code":"732",
+		"des":"You can modify Storm parameters to improve Storm performance in specific service scenarios.This section applies to MRS 3.x or later.Modify the service configuration param",
+		"doc_type":"cmpntguide",
+		"kw":"Storm Performance Tuning,Performance Tuning,Component Operation Guide (Normal)",
+		"title":"Storm Performance Tuning",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2067.html",
+		"product_code":"mrs",
+		"code":"733",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using Tez",
+		"title":"Using Tez",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2068.html",
+		"product_code":"mrs",
+		"code":"734",
+		"des":"This section applies to MRS 3.x or later clusters.",
+		"doc_type":"cmpntguide",
+		"kw":"Precautions,Using Tez,Component Operation Guide (Normal)",
+		"title":"Precautions",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2069.html",
+		"product_code":"mrs",
+		"code":"735",
+		"des":"On Manager, choose Cluster > Service > Tez > Configuration > All Configurations. Enter a parameter name in the search box.",
+		"doc_type":"cmpntguide",
+		"kw":"Common Tez Parameters,Using Tez,Component Operation Guide (Normal)",
+		"title":"Common Tez Parameters",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2070.html",
+		"product_code":"mrs",
+		"code":"736",
+		"des":"Tez displays the Tez task execution process on a GUI. You can view the task execution details on the GUI.The TimelineServer instance of the Yarn service has been installe",
+		"doc_type":"cmpntguide",
+		"kw":"Accessing TezUI,Using Tez,Component Operation Guide (Normal)",
+		"title":"Accessing TezUI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2071.html",
+		"product_code":"mrs",
+		"code":"737",
+		"des":"Log path: The default save path of Tez logs is /var/log/Bigdata/tez/role name.TezUI: /var/log/Bigdata/tez/tezui (run logs) and /var/log/Bigdata/audit/tez/tezui (audit log",
+		"doc_type":"cmpntguide",
+		"kw":"Log Overview,Using Tez,Component Operation Guide (Normal)",
+		"title":"Log Overview",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2072.html",
+		"product_code":"mrs",
+		"code":"738",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Common Issues",
+		"title":"Common Issues",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2073.html",
+		"product_code":"mrs",
+		"code":"739",
+		"des":"After a user logs in to Manager and switches to the Tez web UI, the submitted Tez tasks are not displayed.The Tez task data displayed on the Tez WebUI requires the suppor",
+		"doc_type":"cmpntguide",
+		"kw":"TezUI Cannot Display Tez Task Execution Details,Common Issues,Component Operation Guide (Normal)",
+		"title":"TezUI Cannot Display Tez Task Execution Details",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2074.html",
+		"product_code":"mrs",
+		"code":"740",
+		"des":"When a user logs in to Manager and switches to the Tez web UI, error 404 or 503 is displayed.The Tez web UI depends on the TimelineServer instance of Yarn. Therefore, Tim",
+		"doc_type":"cmpntguide",
+		"kw":"Error Occurs When a User Switches to the Tez Web UI,Common Issues,Component Operation Guide (Normal)",
+		"title":"Error Occurs When a User Switches to the Tez Web UI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2075.html",
+		"product_code":"mrs",
+		"code":"741",
+		"des":"A user logs in to the Tez web UI and clicks Logs, but the Yarn log page fails to be displayed and data cannot be loaded.Currently, the hostname is used for the access to ",
+		"doc_type":"cmpntguide",
+		"kw":"Yarn Logs Cannot Be Viewed on the TezUI Page,Common Issues,Component Operation Guide (Normal)",
+		"title":"Yarn Logs Cannot Be Viewed on the TezUI Page",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2076.html",
+		"product_code":"mrs",
+		"code":"742",
+		"des":"A user logs in to Manager and switches to the Tez web UI page, but no data for the submitted task is displayed on the Hive Queries page.To display task data on the Hive Q",
+		"doc_type":"cmpntguide",
+		"kw":"Table Data Is Empty on the TezUI HiveQueries Page,Common Issues,Component Operation Guide (Normal)",
+		"title":"Table Data Is Empty on the TezUI HiveQueries Page",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0851.html",
+		"product_code":"mrs",
+		"code":"743",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using Yarn",
+		"title":"Using Yarn",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0852.html",
+		"product_code":"mrs",
+		"code":"744",
+		"des":"The Yarn service provides queues for users. Users allocate system resources to each queue. After the configuration is complete, you can click Refresh Queue or restart the",
+		"doc_type":"cmpntguide",
+		"kw":"Common YARN Parameters,Using Yarn,Component Operation Guide (Normal)",
+		"title":"Common YARN Parameters",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0853.html",
+		"product_code":"mrs",
+		"code":"745",
+		"des":"This section describes how to create and configure a Yarn role. The Yarn role can be assigned with Yarn administrator permission and manage Yarn queue resources.If the cu",
+		"doc_type":"cmpntguide",
+		"kw":"Creating Yarn Roles,Using Yarn,Component Operation Guide (Normal)",
+		"title":"Creating Yarn Roles",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0854.html",
+		"product_code":"mrs",
+		"code":"746",
+		"des":"This section guides users to use a Yarn client in an O&M or service scenario.The client has been installed.For example, the installation directory is /opt/hadoopclient. T",
+		"doc_type":"cmpntguide",
+		"kw":"Using the YARN Client,Using Yarn,Component Operation Guide (Normal)",
+		"title":"Using the YARN Client",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0855.html",
+		"product_code":"mrs",
+		"code":"747",
+		"des":"If the hardware resources (such as the number of CPU cores and memory size) of the nodes for deploying NodeManagers are different but the NodeManager available hardware r",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Resources for a NodeManager Role Instance,Using Yarn,Component Operation Guide (Normal)",
+		"title":"Configuring Resources for a NodeManager Role Instance",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0856.html",
+		"product_code":"mrs",
+		"code":"748",
+		"des":"If the storage directories defined by the Yarn NodeManager are incorrect or the Yarn storage plan changes, the system administrator needs to modify the NodeManager storag",
+		"doc_type":"cmpntguide",
+		"kw":"Changing NodeManager Storage Directories,Using Yarn,Component Operation Guide (Normal)",
+		"title":"Changing NodeManager Storage Directories",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0857.html",
+		"product_code":"mrs",
+		"code":"749",
+		"des":"In the multi-tenant scenario in security mode, a cluster can be used by multiple users, and tasks of multiple users can be submitted and executed. Users are invisible to ",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Strict Permission Control for Yarn,Using Yarn,Component Operation Guide (Normal)",
+		"title":"Configuring Strict Permission Control for Yarn",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0858.html",
+		"product_code":"mrs",
+		"code":"750",
+		"des":"Yarn provides the container log aggregation function to collect logs generated by containers on each node to HDFS to release local disk space. You can collect logs in eit",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Container Log Aggregation,Using Yarn,Component Operation Guide (Normal)",
+		"title":"Configuring Container Log Aggregation",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0859.html",
+		"product_code":"mrs",
+		"code":"751",
+		"des":"This section applies to MRS 3.x or later clusters.CGroups is a Linux kernel feature. In YARN this feature allows containers to be limited in their resource usage (example",
+		"doc_type":"cmpntguide",
+		"kw":"Using CGroups with YARN,Using Yarn,Component Operation Guide (Normal)",
+		"title":"Using CGroups with YARN",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0860.html",
+		"product_code":"mrs",
+		"code":"752",
+		"des":"When resources are insufficient or ApplicationMaster fails to start, a client probably encounters running errors.Go to the All Configurations page of Yarn and enter a par",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring the Number of ApplicationMaster Retries,Using Yarn,Component Operation Guide (Normal)",
+		"title":"Configuring the Number of ApplicationMaster Retries",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0861.html",
+		"product_code":"mrs",
+		"code":"753",
+		"des":"This section applies to clusters of MRS 3.x or later.During the process of starting the configuration, when the ApplicationMaster creates a container, the allocated memor",
+		"doc_type":"cmpntguide",
+		"kw":"Configure the ApplicationMaster to Automatically Adjust the Allocated Memory,Using Yarn,Component Op",
+		"title":"Configure the ApplicationMaster to Automatically Adjust the Allocated Memory",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0862.html",
+		"product_code":"mrs",
+		"code":"754",
+		"des":"The value of the yarn.http.policy parameter must be consistent on both the server and clients. Web UIs on clients will be garbled if an inconsistency exists, for example,",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring the Access Channel Protocol,Using Yarn,Component Operation Guide (Normal)",
+		"title":"Configuring the Access Channel Protocol",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0863.html",
+		"product_code":"mrs",
+		"code":"755",
+		"des":"If memory usage of the submitted application cannot be estimated, you can modify the configuration on the server to determine whether to check the memory usage.If the mem",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Memory Usage Detection,Using Yarn,Component Operation Guide (Normal)",
+		"title":"Configuring Memory Usage Detection",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0864.html",
+		"product_code":"mrs",
+		"code":"756",
+		"des":"If the custom scheduler is set in ResourceManager, you can set the corresponding web page and other Web applications for the custom scheduler.Go to the All Configurations",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring the Additional Scheduler WebUI,Using Yarn,Component Operation Guide (Normal)",
+		"title":"Configuring the Additional Scheduler WebUI",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0865.html",
+		"product_code":"mrs",
+		"code":"757",
+		"des":"The Yarn Restart feature includes ResourceManager Restart and NodeManager Restart.When ResourceManager Restart is enabled, the new active ResourceManager node loads the i",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Yarn Restart,Using Yarn,Component Operation Guide (Normal)",
+		"title":"Configuring Yarn Restart",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0866.html",
+		"product_code":"mrs",
+		"code":"758",
+		"des":"This section applies to clusters of MRS 3.x or later.In YARN, ApplicationMasters run on NodeManagers just like every other container (ignoring unmanaged ApplicationMaster",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring ApplicationMaster Work Preserving,Using Yarn,Component Operation Guide (Normal)",
+		"title":"Configuring ApplicationMaster Work Preserving",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0867.html",
+		"product_code":"mrs",
+		"code":"759",
+		"des":"This section applies to clusters of MRS 3.x or later.The default log level of localized container is INFO. You can change the log level by configuring yarn.nodemanager.co",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring the Localized Log Levels,Using Yarn,Component Operation Guide (Normal)",
+		"title":"Configuring the Localized Log Levels",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0868.html",
+		"product_code":"mrs",
+		"code":"760",
+		"des":"This section applies to clusters of MRS 3.x or later.Currently, YARN allows the user that starts the NodeManager to run the task submitted by all other users, or the user",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring Users That Run Tasks,Using Yarn,Component Operation Guide (Normal)",
+		"title":"Configuring Users That Run Tasks",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0870.html",
+		"product_code":"mrs",
+		"code":"761",
+		"des":"The default paths for saving Yarn logs are as follows:ResourceManager: /var/log/Bigdata/yarn/rm (run logs) and /var/log/Bigdata/audit/yarn/rm (audit logs)NodeManager: /va",
+		"doc_type":"cmpntguide",
+		"kw":"Yarn Log Overview,Using Yarn,Component Operation Guide (Normal)",
+		"title":"Yarn Log Overview",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0871.html",
+		"product_code":"mrs",
+		"code":"762",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Yarn Performance Tuning",
+		"title":"Yarn Performance Tuning",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0872.html",
+		"product_code":"mrs",
+		"code":"763",
+		"des":"The capacity scheduler of ResourceManager implements job preemption to simplify job running in queues and improve resource utilization. The process is as follows:Assume t",
+		"doc_type":"cmpntguide",
+		"kw":"Preempting a Task,Yarn Performance Tuning,Component Operation Guide (Normal)",
+		"title":"Preempting a Task",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0873.html",
+		"product_code":"mrs",
+		"code":"764",
+		"des":"The resource contention scenarios of a cluster are as follows:Submit two jobs (Job 1 and Job 2) with lower priorities.Some tasks of running Job 1 and Job 2 are in the run",
+		"doc_type":"cmpntguide",
+		"kw":"Setting the Task Priority,Yarn Performance Tuning,Component Operation Guide (Normal)",
+		"title":"Setting the Task Priority",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0874.html",
+		"product_code":"mrs",
+		"code":"765",
+		"des":"After the scheduler of a big data cluster is properly configured, you can adjust the available memory, CPU resources, and local disk of each node to optimize the performa",
+		"doc_type":"cmpntguide",
+		"kw":"Optimizing Node Configuration,Yarn Performance Tuning,Component Operation Guide (Normal)",
+		"title":"Optimizing Node Configuration",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2077.html",
+		"product_code":"mrs",
+		"code":"766",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Common Issues About Yarn",
+		"title":"Common Issues About Yarn",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2078.html",
+		"product_code":"mrs",
+		"code":"767",
+		"des":"Why mounted directory for Container is not cleared after the completion of the job while using CGroups?The mounted path for the Container should be cleared even if job is",
+		"doc_type":"cmpntguide",
+		"kw":"Why Mounted Directory for Container is Not Cleared After the Completion of the Job While Using CGrou",
+		"title":"Why Mounted Directory for Container is Not Cleared After the Completion of the Job While Using CGroups?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2079.html",
+		"product_code":"mrs",
+		"code":"768",
+		"des":"Why is the HDFS_DELEGATION_TOKEN expired exception reported when a job fails in security mode?HDFS_DELEGATION_TOKEN expires because the token is not updated or it is acce",
+		"doc_type":"cmpntguide",
+		"kw":"Why the Job Fails with HDFS_DELEGATION_TOKEN Expired Exception?,Common Issues About Yarn,Component O",
+		"title":"Why the Job Fails with HDFS_DELEGATION_TOKEN Expired Exception?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2080.html",
+		"product_code":"mrs",
+		"code":"769",
+		"des":"If Yarn is restarted in either of the following scenarios, local logs will not be deleted as scheduled and will be retained permanently:When Yarn is restarted during task",
+		"doc_type":"cmpntguide",
+		"kw":"Why Are Local Logs Not Deleted After YARN Is Restarted?,Common Issues About Yarn,Component Operation",
+		"title":"Why Are Local Logs Not Deleted After YARN Is Restarted?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2081.html",
+		"product_code":"mrs",
+		"code":"770",
+		"des":"Why the task does not fail even though AppAttempts restarts due to failure for more than two times?During the task execution process, if the ContainerExitStatus returns v",
+		"doc_type":"cmpntguide",
+		"kw":"Why the Task Does Not Fail Even Though AppAttempts Restarts for More Than Two Times?,Common Issues A",
+		"title":"Why the Task Does Not Fail Even Though AppAttempts Restarts for More Than Two Times?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2082.html",
+		"product_code":"mrs",
+		"code":"771",
+		"des":"After I moved an application from one queue to another, why is it moved back to the original queue after ResourceManager restarts?This problem is caused by the constraint",
+		"doc_type":"cmpntguide",
+		"kw":"Why Is an Application Moved Back to the Original Queue After ResourceManager Restarts?,Common Issues",
+		"title":"Why Is an Application Moved Back to the Original Queue After ResourceManager Restarts?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2083.html",
+		"product_code":"mrs",
+		"code":"772",
+		"des":"Why does Yarn not release the blacklist even all nodes are added to the blacklist?In Yarn, when the number of application nodes added to the blacklist by ApplicationMaste",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does Yarn Not Release the Blacklist Even All Nodes Are Added to the Blacklist?,Common Issues Abo",
+		"title":"Why Does Yarn Not Release the Blacklist Even All Nodes Are Added to the Blacklist?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2084.html",
+		"product_code":"mrs",
+		"code":"773",
+		"des":"The switchover of ResourceManager occurs continuously when multiple, for example 2,000, tasks are running concurrently, causing the Yarn service unavailable.The cause is ",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does the Switchover of ResourceManager Occur Continuously?,Common Issues About Yarn,Component Op",
+		"title":"Why Does the Switchover of ResourceManager Occur Continuously?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2085.html",
+		"product_code":"mrs",
+		"code":"774",
+		"des":"Why does a new application fail if a NodeManager has been in unhealthy status for 10 minutes?When nodeSelectPolicy is set to SEQUENCE and the first NodeManager connected ",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does a New Application Fail If a NodeManager Has Been in Unhealthy Status for 10 Minutes?,Common",
+		"title":"Why Does a New Application Fail If a NodeManager Has Been in Unhealthy Status for 10 Minutes?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2087.html",
+		"product_code":"mrs",
+		"code":"775",
+		"des":"Why does an error occur when I query the applicationID of a completed or non-existing application using the RESTful APIs?The Superior scheduler only stores the applicatio",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does an Error Occur When I Query the ApplicationID of a Completed or Non-existing Application Us",
+		"title":"Why Does an Error Occur When I Query the ApplicationID of a Completed or Non-existing Application Using the RESTful APIs?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2088.html",
+		"product_code":"mrs",
+		"code":"776",
+		"des":"In Superior scheduling mode, if a single NodeManager is faulty, why may the MapReduce tasks fail?In normal cases, when the attempt of a single task of an application fail",
+		"doc_type":"cmpntguide",
+		"kw":"Why May A Single NodeManager Fault Cause MapReduce Task Failures in the Superior Scheduling Mode?,Co",
+		"title":"Why May A Single NodeManager Fault Cause MapReduce Task Failures in the Superior Scheduling Mode?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2089.html",
+		"product_code":"mrs",
+		"code":"777",
+		"des":"When a queue is deleted when there are applications running in it, these applications are moved to the \"lost_and_found\" queue. When these applications are moved back to a",
+		"doc_type":"cmpntguide",
+		"kw":"Why Are Applications Suspended After They Are Moved From Lost_and_Found Queue to Another Queue?,Comm",
+		"title":"Why Are Applications Suspended After They Are Moved From Lost_and_Found Queue to Another Queue?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2090.html",
+		"product_code":"mrs",
+		"code":"778",
+		"des":"How do I limit the size of application diagnostic messages stored in the ZKstore?In some cases, it has been observed that diagnostic messages may grow infinitely. Because",
+		"doc_type":"cmpntguide",
+		"kw":"How Do I Limit the Size of Application Diagnostic Messages Stored in the ZKstore?,Common Issues Abou",
+		"title":"How Do I Limit the Size of Application Diagnostic Messages Stored in the ZKstore?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2091.html",
+		"product_code":"mrs",
+		"code":"779",
+		"des":"Why does a MapReduce job fail to run when a non-ViewFS file system is configured as ViewFS?When a non-ViewFS file system is configured as a ViewFS using cluster, the user",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does a MapReduce Job Fail to Run When a Non-ViewFS File System Is Configured as ViewFS?,Common I",
+		"title":"Why Does a MapReduce Job Fail to Run When a Non-ViewFS File System Is Configured as ViewFS?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_24051.html",
+		"product_code":"mrs",
+		"code":"780",
+		"des":"After the Native Task feature is enabled, Reduce tasks fail to run in some OSs.When -Dmapreduce.job.map.output.collector.class=org.apache.hadoop.mapred.nativetask.NativeM",
+		"doc_type":"cmpntguide",
+		"kw":"Why Do Reduce Tasks Fail to Run in Some OSs After the Native Task Feature is Enabled?,Common Issues ",
+		"title":"Why Do Reduce Tasks Fail to Run in Some OSs After the Native Task Feature is Enabled?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2092.html",
+		"product_code":"mrs",
+		"code":"781",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using ZooKeeper",
+		"title":"Using ZooKeeper",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2093.html",
+		"product_code":"mrs",
+		"code":"782",
+		"des":"ZooKeeper is an open-source, highly reliable, and distributed consistency coordination service. ZooKeeper is designed to solve the problem that data consistency cannot be",
+		"doc_type":"cmpntguide",
+		"kw":"Using ZooKeeper from Scratch,Using ZooKeeper,Component Operation Guide (Normal)",
+		"title":"Using ZooKeeper from Scratch",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2094.html",
+		"product_code":"mrs",
+		"code":"783",
+		"des":"Navigation path for setting parameters:Go to the All Configurations page of ZooKeeper by referring to Modifying Cluster Service Configuration Parameters. Enter a paramete",
+		"doc_type":"cmpntguide",
+		"kw":"Common ZooKeeper Parameters,Using ZooKeeper,Component Operation Guide (Normal)",
+		"title":"Common ZooKeeper Parameters",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2095.html",
+		"product_code":"mrs",
+		"code":"784",
+		"des":"Use a ZooKeeper client in an O&M scenario or service scenario.You have installed the client. For example, the installation directory is /opt/client. The client directory ",
+		"doc_type":"cmpntguide",
+		"kw":"Using a ZooKeeper Client,Using ZooKeeper,Component Operation Guide (Normal)",
+		"title":"Using a ZooKeeper Client",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2097.html",
+		"product_code":"mrs",
+		"code":"785",
+		"des":"Configure znode permission of ZooKeeper.ZooKeeper uses an access control list (ACL) to implement znode access control. The ZooKeeper client specifies a znode ACL, and the",
+		"doc_type":"cmpntguide",
+		"kw":"Configuring the ZooKeeper Permissions,Using ZooKeeper,Component Operation Guide (Normal)",
+		"title":"Configuring the ZooKeeper Permissions",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2106.html",
+		"product_code":"mrs",
+		"code":"786",
+		"des":"Log path: /var/log/Bigdata/zookeeper/quorumpeer (Run log), /var/log/Bigdata/audit/zookeeper/quorumpeer (Audit log)Log archive rule: The automatic ZooKeeper log compressio",
+		"doc_type":"cmpntguide",
+		"kw":"ZooKeeper Log Overview,Using ZooKeeper,Component Operation Guide (Normal)",
+		"title":"ZooKeeper Log Overview",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2107.html",
+		"product_code":"mrs",
+		"code":"787",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Common Issues About ZooKeeper",
+		"title":"Common Issues About ZooKeeper",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2108.html",
+		"product_code":"mrs",
+		"code":"788",
+		"des":"After a large number of znodes are created, ZooKeeper servers in the ZooKeeper cluster become faulty and cannot be automatically recovered or restarted.Logs of followers:",
+		"doc_type":"cmpntguide",
+		"kw":"Why Do ZooKeeper Servers Fail to Start After Many znodes Are Created?,Common Issues About ZooKeeper,",
+		"title":"Why Do ZooKeeper Servers Fail to Start After Many znodes Are Created?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2109.html",
+		"product_code":"mrs",
+		"code":"789",
+		"des":"After a large number of znodes are created in a parent directory, the ZooKeeper client will fail to fetch all child nodes of this parent directory in a single request.Log",
+		"doc_type":"cmpntguide",
+		"kw":"Why Does the ZooKeeper Server Display the java.io.IOException: Len Error Log?,Common Issues About Zo",
+		"title":"Why Does the ZooKeeper Server Display the java.io.IOException: Len Error Log?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2110.html",
+		"product_code":"mrs",
+		"code":"790",
+		"des":"Why four letter commands do not work with linux netcat command when secure netty configurations are enabled at Zookeeper server?For example,echo stat |netcat host portLin",
+		"doc_type":"cmpntguide",
+		"kw":"Why Four Letter Commands Don't Work With Linux netcat Command When Secure Netty Configurations Are E",
+		"title":"Why Four Letter Commands Don't Work With Linux netcat Command When Secure Netty Configurations Are Enabled at Zookeeper Server?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2111.html",
+		"product_code":"mrs",
+		"code":"791",
+		"des":"How to check whether the role of a ZooKeeper instance is a leader or follower.Log in to Manager and choose Cluster > Name of the desired cluster > Service > ZooKeeper > I",
+		"doc_type":"cmpntguide",
+		"kw":"How Do I Check Which ZooKeeper Instance Is a Leader?,Common Issues About ZooKeeper,Component Operati",
+		"title":"How Do I Check Which ZooKeeper Instance Is a Leader?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2112.html",
+		"product_code":"mrs",
+		"code":"792",
+		"des":"When the IBM JDK is used, the client fails to connect to ZooKeeper.The possible cause is that the jaas.conf file format of the IBM JDK is different from that of the commo",
+		"doc_type":"cmpntguide",
+		"kw":"Why Cannot the Client Connect to ZooKeeper using the IBM JDK?,Common Issues About ZooKeeper,Componen",
+		"title":"Why Cannot the Client Connect to ZooKeeper using the IBM JDK?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2113.html",
+		"product_code":"mrs",
+		"code":"793",
+		"des":"The ZooKeeper client fails to refresh a TGT and therefore ZooKeeper cannot be accessed. The error message is as follows:ZooKeeper uses the system command kinit – R to ref",
+		"doc_type":"cmpntguide",
+		"kw":"What Should I Do When the ZooKeeper Client Fails to Refresh a TGT?,Common Issues About ZooKeeper,Com",
+		"title":"What Should I Do When the ZooKeeper Client Fails to Refresh a TGT?",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2114.html",
+		"product_code":"mrs",
+		"code":"794",
+		"des":"When the client connects to a non-leader instance, run the deleteall command to delete a large number of znodes, the error message \"Node does not exist\" is displayed, but",
+		"doc_type":"cmpntguide",
+		"kw":"Why Is Message \"Node does not exist\" Displayed when A Large Number of Znodes Are Deleted Using the d",
+		"title":"Why Is Message \"Node does not exist\" Displayed when A Large Number of Znodes Are Deleted Using the deleteallCommand",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2122.html",
+		"product_code":"mrs",
+		"code":"795",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Appendix",
+		"title":"Appendix",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2125.html",
+		"product_code":"mrs",
+		"code":"796",
+		"des":"For MRS 1.9.2 or later: You can modify service configuration parameters on the cluster management page of the MRS management console.Log in to the MRS console. In the lef",
+		"doc_type":"cmpntguide",
+		"kw":"Modifying Cluster Service Configuration Parameters,Appendix,Component Operation Guide (Normal)",
+		"title":"Modifying Cluster Service Configuration Parameters",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2123.html",
+		"product_code":"mrs",
+		"code":"797",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Accessing Manager",
+		"title":"Accessing Manager",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_0102.html",
+		"product_code":"mrs",
+		"code":"798",
+		"des":"Clusters of versions earlier than MRS 3.x use MRS Manager to monitor, configure, and manage clusters. You can open the MRS Manager page on the MRS console.If you have bou",
+		"doc_type":"cmpntguide",
+		"kw":"Accessing MRS Manager (Versions Earlier Than MRS 3.x),Accessing Manager,Component Operation Guide (N",
+		"title":"Accessing MRS Manager (Versions Earlier Than MRS 3.x)",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2124.html",
+		"product_code":"mrs",
+		"code":"799",
+		"des":"In MRS 3.x or later, FusionInsight Manager is used to monitor, configure, and manage clusters. After the cluster is installed, you can use the account to log in to Fusion",
+		"doc_type":"cmpntguide",
+		"kw":"Accessing FusionInsight Manager (MRS 3.x or Later),Accessing Manager,Component Operation Guide (Norm",
+		"title":"Accessing FusionInsight Manager (MRS 3.x or Later)",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2126.html",
+		"product_code":"mrs",
+		"code":"800",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"cmpntguide",
+		"kw":"Using an MRS Client",
+		"title":"Using an MRS Client",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2127.html",
+		"product_code":"mrs",
+		"code":"801",
+		"des":"This section describes how to install clients of all services (excluding Flume) in an MRS cluster. For details about how to install the Flume client, see Installing the F",
+		"doc_type":"cmpntguide",
+		"kw":"Installing a Client (Version 3.x or Later),Using an MRS Client,Component Operation Guide (Normal)",
+		"title":"Installing a Client (Version 3.x or Later)",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2128.html",
+		"product_code":"mrs",
+		"code":"802",
+		"des":"An MRS client is required. The MRS cluster client can be installed on the Master or Core node in the cluster or on a node outside the cluster.After a cluster of versions ",
+		"doc_type":"cmpntguide",
+		"kw":"Installing a Client (Versions Earlier Than 3.x),Using an MRS Client,Component Operation Guide (Norma",
+		"title":"Installing a Client (Versions Earlier Than 3.x)",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2129.html",
+		"product_code":"mrs",
+		"code":"803",
+		"des":"A cluster provides a client for you to connect to a server, view task results, or manage data. If you modify service configuration parameters on Manager and restart the s",
+		"doc_type":"cmpntguide",
+		"kw":"Updating a Client (Version 3.x or Later),Using an MRS Client,Component Operation Guide (Normal)",
+		"title":"Updating a Client (Version 3.x or Later)",
+		"githuburl":""
+	},
+	{
+		"uri":"mrs_01_2130.html",
+		"product_code":"mrs",
+		"code":"804",
+		"des":"This section applies to clusters of versions earlier than MRS 3.x. For MRS 3.x or later, see Updating a Client (Version 3.x or Later).ScenarioAn MRS cluster provides a cl",
+		"doc_type":"cmpntguide",
+		"kw":"Updating a Client (Versions Earlier Than 3.x),Using an MRS Client,Component Operation Guide (Normal)",
+		"title":"Updating a Client (Versions Earlier Than 3.x)",
+		"githuburl":""
+	},
+	{
+		"uri":"en-us_topic_0000001351362309.html",
+		"product_code":"",
+		"code":"805",
+		"des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"doc_type":"",
+		"kw":"Change History,Component Operation Guide (Normal)",
+		"title":"Change History",
+		"githuburl":""
+	}
+]
\ No newline at end of file
diff --git a/docs/mrs/component-operation-guide/CLASS.TXT.json b/docs/mrs/component-operation-guide/CLASS.TXT.json
new file mode 100644
index 000000000..c7c2967cf
--- /dev/null
+++ b/docs/mrs/component-operation-guide/CLASS.TXT.json
@@ -0,0 +1,7247 @@
+[
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using Alluxio",
+		"uri":"mrs_01_0756.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"1"
+	},
+	{
+		"desc":"If you want to use a unified client API and a global namespace to access persistent storage systems including HDFS and OBS to separate computing from storage, you can con",
+		"product_code":"mrs",
+		"title":"Configuring an Underlying Storage System",
+		"uri":"mrs_01_0759.html",
+		"doc_type":"cmpntguide",
+		"p_code":"1",
+		"code":"2"
+	},
+	{
+		"desc":"The port number used for accessing the Alluxio file system is 19998, and the access address is alluxio://<Master node IP address of Alluxio>:19998/<PATH>. This section us",
+		"product_code":"mrs",
+		"title":"Accessing Alluxio Using a Data Application",
+		"uri":"mrs_01_0760.html",
+		"doc_type":"cmpntguide",
+		"p_code":"1",
+		"code":"3"
+	},
+	{
+		"desc":"Create a cluster with Alluxio installed.Log in to the active Master node in a cluster as user root using the password set during cluster creation.Run the following comman",
+		"product_code":"mrs",
+		"title":"Common Operations of Alluxio",
+		"uri":"mrs_01_0757.html",
+		"doc_type":"cmpntguide",
+		"p_code":"1",
+		"code":"4"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using CarbonData (for Versions Earlier Than MRS 3.x)",
+		"uri":"mrs_01_0385.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"5"
+	},
+	{
+		"desc":"This section is for MRS 3.x or earlier. For MRS 3.x or later, see Using CarbonData (for MRS 3.x or Later).This section describes the procedure of using Spark CarbonData. ",
+		"product_code":"mrs",
+		"title":"Using CarbonData from Scratch",
+		"uri":"mrs_01_0386.html",
+		"doc_type":"cmpntguide",
+		"p_code":"5",
+		"code":"6"
+	},
+	{
+		"desc":"CarbonData tables are similar to tables in the relational database management system (RDBMS). RDBMS tables consist of rows and columns to store data. CarbonData tables ha",
+		"product_code":"mrs",
+		"title":"About CarbonData Table",
+		"uri":"mrs_01_0387.html",
+		"doc_type":"cmpntguide",
+		"p_code":"5",
+		"code":"7"
+	},
+	{
+		"desc":"A CarbonData table must be created to load and query data.Users can create a table by specifying its columns and data types. For analysis clusters with Kerberos authentic",
+		"product_code":"mrs",
+		"title":"Creating a CarbonData Table",
+		"uri":"mrs_01_0388.html",
+		"doc_type":"cmpntguide",
+		"p_code":"5",
+		"code":"8"
+	},
+	{
+		"desc":"Unused CarbonData tables can be deleted. After a CarbonData table is deleted, its metadata and loaded data are deleted together.DROP TABLE [IF EXISTS] [db_name.]table_nam",
+		"product_code":"mrs",
+		"title":"Deleting a CarbonData Table",
+		"uri":"mrs_01_0389.html",
+		"doc_type":"cmpntguide",
+		"p_code":"5",
+		"code":"9"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using CarbonData (for MRS 3.x or Later)",
+		"uri":"mrs_01_1400.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"10"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Overview",
+		"uri":"mrs_01_1401.html",
+		"doc_type":"cmpntguide",
+		"p_code":"10",
+		"code":"11"
+	},
+	{
+		"desc":"CarbonData is a new Apache Hadoop native data-store format. CarbonData allows faster interactive queries over PetaBytes of data using advanced columnar storage, index, co",
+		"product_code":"mrs",
+		"title":"CarbonData Overview",
+		"uri":"mrs_01_1402.html",
+		"doc_type":"cmpntguide",
+		"p_code":"11",
+		"code":"12"
+	},
+	{
+		"desc":"The memory required for data loading depends on the following factors:Number of columnsColumn valuesConcurrency (configured using carbon.number.of.cores.while.loading)Sor",
+		"product_code":"mrs",
+		"title":"Main Specifications of CarbonData",
+		"uri":"mrs_01_1403.html",
+		"doc_type":"cmpntguide",
+		"p_code":"11",
+		"code":"13"
+	},
+	{
+		"desc":"This section provides the details of all the configurations required for the CarbonData System.Configure the following parameters in the spark-defaults.conf file on the S",
+		"product_code":"mrs",
+		"title":"Configuration Reference",
+		"uri":"mrs_01_1404.html",
+		"doc_type":"cmpntguide",
+		"p_code":"10",
+		"code":"14"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"CarbonData Operation Guide",
+		"uri":"mrs_01_1405.html",
+		"doc_type":"cmpntguide",
+		"p_code":"10",
+		"code":"15"
+	},
+	{
+		"desc":"This section describes how to create CarbonData tables, load data, and query data. This quick start provides operations based on the Spark Beeline client. If you want to ",
+		"product_code":"mrs",
+		"title":"CarbonData Quick Start",
+		"uri":"mrs_01_1406.html",
+		"doc_type":"cmpntguide",
+		"p_code":"15",
+		"code":"16"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"CarbonData Table Management",
+		"uri":"mrs_01_1407.html",
+		"doc_type":"cmpntguide",
+		"p_code":"15",
+		"code":"17"
+	},
+	{
+		"desc":"In CarbonData, data is stored in entities called tables. CarbonData tables are similar to RDBMS tables. RDBMS data is stored in a table consisting of rows and columns. Ca",
+		"product_code":"mrs",
+		"title":"About CarbonData Table",
+		"uri":"mrs_01_1408.html",
+		"doc_type":"cmpntguide",
+		"p_code":"17",
+		"code":"18"
+	},
+	{
+		"desc":"A CarbonData table must be created to load and query data. You can run the Create Table command to create a table. This command is used to create a table using custom col",
+		"product_code":"mrs",
+		"title":"Creating a CarbonData Table",
+		"uri":"mrs_01_1409.html",
+		"doc_type":"cmpntguide",
+		"p_code":"17",
+		"code":"19"
+	},
+	{
+		"desc":"You can run the DROP TABLE command to delete a table. After a CarbonData table is deleted, its metadata and loaded data are deleted together.Run the following command to ",
+		"product_code":"mrs",
+		"title":"Deleting a CarbonData Table",
+		"uri":"mrs_01_1410.html",
+		"doc_type":"cmpntguide",
+		"p_code":"17",
+		"code":"20"
+	},
+	{
+		"desc":"When the SET command is executed, the new properties overwrite the existing ones.SORT SCOPEThe following is an example of the SET SORT SCOPE command:ALTER TABLE tablename",
+		"product_code":"mrs",
+		"title":"Modify the CarbonData Table",
+		"uri":"mrs_01_1411.html",
+		"doc_type":"cmpntguide",
+		"p_code":"17",
+		"code":"21"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"CarbonData Table Data Management",
+		"uri":"mrs_01_1412.html",
+		"doc_type":"cmpntguide",
+		"p_code":"15",
+		"code":"22"
+	},
+	{
+		"desc":"After a CarbonData table is created, you can run the LOAD DATA command to load data to the table for query. Once data loading is triggered, data is encoded in CarbonData ",
+		"product_code":"mrs",
+		"title":"Loading Data",
+		"uri":"mrs_01_1413.html",
+		"doc_type":"cmpntguide",
+		"p_code":"22",
+		"code":"23"
+	},
+	{
+		"desc":"If you want to modify and reload the data because you have loaded wrong data into a table, or there are too many bad records, you can delete specific segments by segment ",
+		"product_code":"mrs",
+		"title":"Deleting Segments",
+		"uri":"mrs_01_1414.html",
+		"doc_type":"cmpntguide",
+		"p_code":"22",
+		"code":"24"
+	},
+	{
+		"desc":"Frequent data access results in a large number of fragmented CarbonData files in the storage directory. In each data loading, data is sorted and indexing is performed. Th",
+		"product_code":"mrs",
+		"title":"Combining Segments",
+		"uri":"mrs_01_1415.html",
+		"doc_type":"cmpntguide",
+		"p_code":"22",
+		"code":"25"
+	},
+	{
+		"desc":"If you want to rapidly migrate CarbonData data from a cluster to another one, you can use the CarbonData backup and restoration commands. This method does not require dat",
+		"product_code":"mrs",
+		"title":"CarbonData Data Migration",
+		"uri":"mrs_01_1416.html",
+		"doc_type":"cmpntguide",
+		"p_code":"15",
+		"code":"26"
+	},
+	{
+		"desc":"This migration guides you to migrate the CarbonData table data of Spark 1.5 to that of Spark2x.Before performing this operation, you need to stop the data import service ",
+		"product_code":"mrs",
+		"title":"Migrating Data on CarbonData from Spark 1.5 to Spark2x",
+		"uri":"mrs_01_2301.html",
+		"doc_type":"cmpntguide",
+		"p_code":"15",
+		"code":"27"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"CarbonData Performance Tuning",
+		"uri":"mrs_01_1417.html",
+		"doc_type":"cmpntguide",
+		"p_code":"10",
+		"code":"28"
+	},
+	{
+		"desc":"There are various parameters that can be tuned to improve the query performance in CarbonData. Most of the parameters focus on increasing the parallelism in processing an",
+		"product_code":"mrs",
+		"title":"Tuning Guidelines",
+		"uri":"mrs_01_1418.html",
+		"doc_type":"cmpntguide",
+		"p_code":"28",
+		"code":"29"
+	},
+	{
+		"desc":"This section provides suggestions based on more than 50 test cases to help you create CarbonData tables with higher query performance.If the to-be-created table contains ",
+		"product_code":"mrs",
+		"title":"Suggestions for Creating CarbonData Tables",
+		"uri":"mrs_01_1419.html",
+		"doc_type":"cmpntguide",
+		"p_code":"28",
+		"code":"30"
+	},
+	{
+		"desc":"This section describes the configurations that can improve CarbonData performance.Table 1 and Table 2 describe the configurations about query of CarbonData.Table 3, Table",
+		"product_code":"mrs",
+		"title":"Configurations for Performance Tuning",
+		"uri":"mrs_01_1421.html",
+		"doc_type":"cmpntguide",
+		"p_code":"28",
+		"code":"31"
+	},
+	{
+		"desc":"The following table provides details about Hive ACL permissions required for performing operations on CarbonData tables.Parameters listed in Table 5 or Table 6 have been ",
+		"product_code":"mrs",
+		"title":"CarbonData Access Control",
+		"uri":"mrs_01_1422.html",
+		"doc_type":"cmpntguide",
+		"p_code":"10",
+		"code":"32"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"CarbonData Syntax Reference",
+		"uri":"mrs_01_1423.html",
+		"doc_type":"cmpntguide",
+		"p_code":"10",
+		"code":"33"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"DDL",
+		"uri":"mrs_01_1424.html",
+		"doc_type":"cmpntguide",
+		"p_code":"33",
+		"code":"34"
+	},
+	{
+		"desc":"This command is used to create a CarbonData table by specifying the list of fields along with the table properties.CREATE TABLE [IF NOT EXISTS] [db_name.]table_name[(col_",
+		"product_code":"mrs",
+		"title":"CREATE TABLE",
+		"uri":"mrs_01_1425.html",
+		"doc_type":"cmpntguide",
+		"p_code":"34",
+		"code":"35"
+	},
+	{
+		"desc":"This command is used to create a CarbonData table by specifying the list of fields along with the table properties.CREATE TABLE[IF NOT EXISTS] [db_name.]table_name STORED",
+		"product_code":"mrs",
+		"title":"CREATE TABLE As SELECT",
+		"uri":"mrs_01_1426.html",
+		"doc_type":"cmpntguide",
+		"p_code":"34",
+		"code":"36"
+	},
+	{
+		"desc":"This command is used to delete an existing table.DROP TABLE [IF EXISTS] [db_name.]table_name;In this command, IF EXISTS and db_name are optional.DROP TABLE IF EXISTS prod",
+		"product_code":"mrs",
+		"title":"DROP TABLE",
+		"uri":"mrs_01_1427.html",
+		"doc_type":"cmpntguide",
+		"p_code":"34",
+		"code":"37"
+	},
+	{
+		"desc":"SHOW TABLES command is used to list all tables in the current or a specific database.SHOW TABLES [IN db_name];IN db_Name is optional.SHOW TABLES IN ProductDatabase;All ta",
+		"product_code":"mrs",
+		"title":"SHOW TABLES",
+		"uri":"mrs_01_1428.html",
+		"doc_type":"cmpntguide",
+		"p_code":"34",
+		"code":"38"
+	},
+	{
+		"desc":"The ALTER TABLE COMPACTION command is used to merge a specified number of segments into a single segment. This improves the query performance of a table.ALTER TABLE[db_na",
+		"product_code":"mrs",
+		"title":"ALTER TABLE COMPACTION",
+		"uri":"mrs_01_1429.html",
+		"doc_type":"cmpntguide",
+		"p_code":"34",
+		"code":"39"
+	},
+	{
+		"desc":"This command is used to rename an existing table.ALTER TABLE [db_name.]table_name RENAME TO new_table_name;Parallel queries (using table names to obtain paths for reading",
+		"product_code":"mrs",
+		"title":"TABLE RENAME",
+		"uri":"mrs_01_1430.html",
+		"doc_type":"cmpntguide",
+		"p_code":"34",
+		"code":"40"
+	},
+	{
+		"desc":"This command is used to add a column to an existing table.ALTER TABLE [db_name.]table_name ADD COLUMNS (col_name data_type,...) TBLPROPERTIES(''COLUMNPROPERTIES.columnNam",
+		"product_code":"mrs",
+		"title":"ADD COLUMNS",
+		"uri":"mrs_01_1431.html",
+		"doc_type":"cmpntguide",
+		"p_code":"34",
+		"code":"41"
+	},
+	{
+		"desc":"This command is used to delete one or more columns from a table.ALTER TABLE [db_name.]table_name DROP COLUMNS (col_name, ...);After a column is deleted, at least one key ",
+		"product_code":"mrs",
+		"title":"DROP COLUMNS",
+		"uri":"mrs_01_1432.html",
+		"doc_type":"cmpntguide",
+		"p_code":"34",
+		"code":"42"
+	},
+	{
+		"desc":"This command is used to change the data type from INT to BIGINT or decimal precision from lower to higher.ALTER TABLE [db_name.]table_name CHANGE col_name col_name change",
+		"product_code":"mrs",
+		"title":"CHANGE DATA TYPE",
+		"uri":"mrs_01_1433.html",
+		"doc_type":"cmpntguide",
+		"p_code":"34",
+		"code":"43"
+	},
+	{
+		"desc":"This command is used to register Carbon table to Hive meta store catalogue from exisiting Carbon table data.REFRESH TABLE db_name.table_name;The new database name and the",
+		"product_code":"mrs",
+		"title":"REFRESH TABLE",
+		"uri":"mrs_01_1434.html",
+		"doc_type":"cmpntguide",
+		"p_code":"34",
+		"code":"44"
+	},
+	{
+		"desc":"This command is used to register an index table with the primary table.REGISTER INDEX TABLE indextable_name ON db_name.maintable_name;Before running this command, run REF",
+		"product_code":"mrs",
+		"title":"REGISTER INDEX TABLE",
+		"uri":"mrs_01_1435.html",
+		"doc_type":"cmpntguide",
+		"p_code":"34",
+		"code":"45"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"DML",
+		"uri":"mrs_01_1437.html",
+		"doc_type":"cmpntguide",
+		"p_code":"33",
+		"code":"46"
+	},
+	{
+		"desc":"This command is used to load user data of a particular type, so that CarbonData can provide good query performance.Only the raw data on HDFS can be loaded.LOAD DATA INPAT",
+		"product_code":"mrs",
+		"title":"LOAD DATA",
+		"uri":"mrs_01_1438.html",
+		"doc_type":"cmpntguide",
+		"p_code":"46",
+		"code":"47"
+	},
+	{
+		"desc":"This command is used to update the CarbonData table based on the column expression and optional filtering conditions.Syntax 1:UPDATE <CARBON TABLE> SET (column_name1, col",
+		"product_code":"mrs",
+		"title":"UPDATE CARBON TABLE",
+		"uri":"mrs_01_1439.html",
+		"doc_type":"cmpntguide",
+		"p_code":"46",
+		"code":"48"
+	},
+	{
+		"desc":"This command is used to delete records from a CarbonData table.DELETE FROM CARBON_TABLE [WHERE expression];If a segment is deleted, all secondary indexes associated with ",
+		"product_code":"mrs",
+		"title":"DELETE RECORDS from CARBON TABLE",
+		"uri":"mrs_01_1440.html",
+		"doc_type":"cmpntguide",
+		"p_code":"46",
+		"code":"49"
+	},
+	{
+		"desc":"This command is used to add the output of the SELECT command to a Carbon table.INSERT INTO [CARBON TABLE] [select query];A table has been created.You must belong to the d",
+		"product_code":"mrs",
+		"title":"INSERT INTO CARBON TABLE",
+		"uri":"mrs_01_1441.html",
+		"doc_type":"cmpntguide",
+		"p_code":"46",
+		"code":"50"
+	},
+	{
+		"desc":"This command is used to delete segments by the ID.DELETE FROM TABLE db_name.table_name WHERE SEGMENT.ID IN (segment_id1,segment_id2);Segments cannot be deleted from the s",
+		"product_code":"mrs",
+		"title":"DELETE SEGMENT by ID",
+		"uri":"mrs_01_1442.html",
+		"doc_type":"cmpntguide",
+		"p_code":"46",
+		"code":"51"
+	},
+	{
+		"desc":"This command is used to delete segments by loading date. Segments created before a specific date will be deleted.DELETE FROM TABLE db_name.table_name WHERE SEGMENT.STARTT",
+		"product_code":"mrs",
+		"title":"DELETE SEGMENT by DATE",
+		"uri":"mrs_01_1443.html",
+		"doc_type":"cmpntguide",
+		"p_code":"46",
+		"code":"52"
+	},
+	{
+		"desc":"This command is used to list the segments of a CarbonData table.SHOW SEGMENTS FOR TABLE [db_name.]table_name LIMIT number_of_loads;Nonecreate tablecarbon01(a int,b string",
+		"product_code":"mrs",
+		"title":"SHOW SEGMENTS",
+		"uri":"mrs_01_1444.html",
+		"doc_type":"cmpntguide",
+		"p_code":"46",
+		"code":"53"
+	},
+	{
+		"desc":"This command is used to create secondary indexes in the CarbonData tables.CREATE INDEX index_nameON TABLE [db_name.]table_name (col_name1, col_name2)AS 'carbondata'PROPER",
+		"product_code":"mrs",
+		"title":"CREATE SECONDARY INDEX",
+		"uri":"mrs_01_1445.html",
+		"doc_type":"cmpntguide",
+		"p_code":"46",
+		"code":"54"
+	},
+	{
+		"desc":"This command is used to list all secondary index tables in the CarbonData table.SHOW INDEXES ON db_name.table_name;db_name is optional.create table productdb.productSales",
+		"product_code":"mrs",
+		"title":"SHOW SECONDARY INDEXES",
+		"uri":"mrs_01_1446.html",
+		"doc_type":"cmpntguide",
+		"p_code":"46",
+		"code":"55"
+	},
+	{
+		"desc":"This command is used to delete the existing secondary index table in a specific table.DROP INDEX [IF EXISTS] index_nameON [db_name.]table_name;In this command, IF EXISTS ",
+		"product_code":"mrs",
+		"title":"DROP SECONDARY INDEX",
+		"uri":"mrs_01_1447.html",
+		"doc_type":"cmpntguide",
+		"p_code":"46",
+		"code":"56"
+	},
+	{
+		"desc":"After the DELETE SEGMENT command is executed, the deleted segments are marked as the delete state. After the segments are merged, the status of the original segments chan",
+		"product_code":"mrs",
+		"title":"CLEAN FILES",
+		"uri":"mrs_01_1448.html",
+		"doc_type":"cmpntguide",
+		"p_code":"46",
+		"code":"57"
+	},
+	{
+		"desc":"This command is used to dynamically add, update, display, or reset the CarbonData properties without restarting the driver.Add or Update parameter value:SET parameter_nam",
+		"product_code":"mrs",
+		"title":"SET/RESET",
+		"uri":"mrs_01_1449.html",
+		"doc_type":"cmpntguide",
+		"p_code":"46",
+		"code":"58"
+	},
+	{
+		"desc":"Before performing DDL and DML operations, you need to obtain the corresponding locks. See Table 1 for details about the locks that need to be obtained for each operation.",
+		"product_code":"mrs",
+		"title":"Operation Concurrent Execution",
+		"uri":"mrs_01_24046.html",
+		"doc_type":"cmpntguide",
+		"p_code":"33",
+		"code":"59"
+	},
+	{
+		"desc":"This section describes the APIs and usage methods of Segment. All methods are in the org.apache.spark.util.CarbonSegmentUtil class.The following methods have been abandon",
+		"product_code":"mrs",
+		"title":"API",
+		"uri":"mrs_01_1450.html",
+		"doc_type":"cmpntguide",
+		"p_code":"33",
+		"code":"60"
+	},
+	{
+		"desc":"Spatial data includes multidimensional points, lines, rectangles, cubes, polygons, and other geometric objects. A spatial data object occupies a certain region of space, ",
+		"product_code":"mrs",
+		"title":"Spatial Indexes",
+		"uri":"mrs_01_1451.html",
+		"doc_type":"cmpntguide",
+		"p_code":"33",
+		"code":"61"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"CarbonData Troubleshooting",
+		"uri":"mrs_01_1454.html",
+		"doc_type":"cmpntguide",
+		"p_code":"10",
+		"code":"62"
+	},
+	{
+		"desc":"When double data type values with higher precision are used in filters, incorrect values are returned by filtering results.When double data type values with higher precis",
+		"product_code":"mrs",
+		"title":"Filter Result Is not Consistent with Hive when a Big Double Type Value Is Used in Filter",
+		"uri":"mrs_01_1455.html",
+		"doc_type":"cmpntguide",
+		"p_code":"62",
+		"code":"63"
+	},
+	{
+		"desc":"The query performance fluctuates when the query is executed in different query periods.During data loading, the memory configured for each executor program instance may b",
+		"product_code":"mrs",
+		"title":"Query Performance Deterioration",
+		"uri":"mrs_01_1456.html",
+		"doc_type":"cmpntguide",
+		"p_code":"62",
+		"code":"64"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"CarbonData FAQ",
+		"uri":"mrs_01_1457.html",
+		"doc_type":"cmpntguide",
+		"p_code":"10",
+		"code":"65"
+	},
+	{
+		"desc":"Why is incorrect output displayed when I perform query with filter on decimal data type values?For example:select * from carbon_table where num = 1234567890123456.22;Outp",
+		"product_code":"mrs",
+		"title":"Why Is Incorrect Output Displayed When I Perform Query with Filter on Decimal Data Type Values?",
+		"uri":"mrs_01_1458.html",
+		"doc_type":"cmpntguide",
+		"p_code":"65",
+		"code":"66"
+	},
+	{
+		"desc":"How to avoid minor compaction for historical data?If you want to load historical data first and then the incremental data, perform following steps to avoid minor compacti",
+		"product_code":"mrs",
+		"title":"How to Avoid Minor Compaction for Historical Data?",
+		"uri":"mrs_01_1459.html",
+		"doc_type":"cmpntguide",
+		"p_code":"65",
+		"code":"67"
+	},
+	{
+		"desc":"How to change the default group name for CarbonData data loading?By default, the group name for CarbonData data loading is ficommon. You can perform the following operati",
+		"product_code":"mrs",
+		"title":"How to Change the Default Group Name for CarbonData Data Loading?",
+		"uri":"mrs_01_1460.html",
+		"doc_type":"cmpntguide",
+		"p_code":"65",
+		"code":"68"
+	},
+	{
+		"desc":"Why does the INSERT INTO CARBON TABLE command fail and the following error message is displayed?The INSERT INTO CARBON TABLE command fails in the following scenarios:If t",
+		"product_code":"mrs",
+		"title":"Why Does INSERT INTO CARBON TABLE Command Fail?",
+		"uri":"mrs_01_1461.html",
+		"doc_type":"cmpntguide",
+		"p_code":"65",
+		"code":"69"
+	},
+	{
+		"desc":"Why is the data logged in bad records different from the original input data with escaped characters?An escape character is a backslash (\\) followed by one or more charac",
+		"product_code":"mrs",
+		"title":"Why Is the Data Logged in Bad Records Different from the Original Input Data with Escape Characters?",
+		"uri":"mrs_01_1462.html",
+		"doc_type":"cmpntguide",
+		"p_code":"65",
+		"code":"70"
+	},
+	{
+		"desc":"Why data load performance decreases due to bad records?If bad records are present in the data and BAD_RECORDS_LOGGER_ENABLE is true or BAD_RECORDS_ACTION is redirect then",
+		"product_code":"mrs",
+		"title":"Why Data Load Performance Decreases due to Bad Records?",
+		"uri":"mrs_01_1463.html",
+		"doc_type":"cmpntguide",
+		"p_code":"65",
+		"code":"71"
+	},
+	{
+		"desc":"Why INSERT INTO or LOAD DATA task distribution is incorrect, and the openedtasks  are less than the available executors when the number of initial executors is zero?In ca",
+		"product_code":"mrs",
+		"title":"Why INSERT INTO/LOAD DATA Task Distribution Is Incorrect and the Opened Tasks Are Less Than the Available Executors when the Number of Initial ExecutorsIs Zero?",
+		"uri":"mrs_01_1464.html",
+		"doc_type":"cmpntguide",
+		"p_code":"65",
+		"code":"72"
+	},
+	{
+		"desc":"Why does CarbonData require additional executors even though the parallelism is greater than the number of blocks to be processed?CarbonData block distribution optimizes ",
+		"product_code":"mrs",
+		"title":"Why Does CarbonData Require Additional Executors Even Though the Parallelism Is Greater Than the Number of Blocks to Be Processed?",
+		"uri":"mrs_01_1465.html",
+		"doc_type":"cmpntguide",
+		"p_code":"65",
+		"code":"73"
+	},
+	{
+		"desc":"Why Data Loading fails during off heap?YARN Resource Manager will consider (Java heap memory + spark.yarn.am.memoryOverhead) as memory limit, so during the off heap, the ",
+		"product_code":"mrs",
+		"title":"Why Data loading Fails During off heap?",
+		"uri":"mrs_01_1466.html",
+		"doc_type":"cmpntguide",
+		"p_code":"65",
+		"code":"74"
+	},
+	{
+		"desc":"Why do I fail to create a hive table?Creating a Hive table fails, when source table or sub query has more number of partitions. The implementation of the query requires a",
+		"product_code":"mrs",
+		"title":"Why Do I Fail to Create a Hive Table?",
+		"uri":"mrs_01_1467.html",
+		"doc_type":"cmpntguide",
+		"p_code":"65",
+		"code":"75"
+	},
+	{
+		"desc":"Why CarbonData tables created in V100R002C50RC1 not reflecting the privileges provided in Hive Privileges for non-owner?The Hive ACL is implemented after the version V100",
+		"product_code":"mrs",
+		"title":"Why CarbonData tables created in V100R002C50RC1 not reflecting the privileges provided in Hive Privileges for non-owner?",
+		"uri":"mrs_01_1468.html",
+		"doc_type":"cmpntguide",
+		"p_code":"65",
+		"code":"76"
+	},
+	{
+		"desc":"How do I logically split data across different namespaces?Configuration:To logically split data across different namespaces, you must update the following configuration i",
+		"product_code":"mrs",
+		"title":"How Do I Logically Split Data Across Different Namespaces?",
+		"uri":"mrs_01_1469.html",
+		"doc_type":"cmpntguide",
+		"p_code":"65",
+		"code":"77"
+	},
+	{
+		"desc":"Why drop database cascade is throwing the following exception?This error is thrown when the owner of the database performs drop database <database_name> cascade which con",
+		"product_code":"mrs",
+		"title":"Why Missing Privileges Exception is Reported When I Perform Drop Operation on Databases?",
+		"uri":"mrs_01_1470.html",
+		"doc_type":"cmpntguide",
+		"p_code":"65",
+		"code":"78"
+	},
+	{
+		"desc":"Why the UPDATE command cannot be executed in Spark Shell?The syntax and examples provided in this document are about Beeline commands instead of Spark Shell commands.To r",
+		"product_code":"mrs",
+		"title":"Why the UPDATE Command Cannot Be Executed in Spark Shell?",
+		"uri":"mrs_01_1471.html",
+		"doc_type":"cmpntguide",
+		"p_code":"65",
+		"code":"79"
+	},
+	{
+		"desc":"How do I configure unsafe memory in CarbonData?In the Spark configuration, the value of spark.yarn.executor.memoryOverhead must be greater than the sum of (sort.inmemory.",
+		"product_code":"mrs",
+		"title":"How Do I Configure Unsafe Memory in CarbonData?",
+		"uri":"mrs_01_1472.html",
+		"doc_type":"cmpntguide",
+		"p_code":"65",
+		"code":"80"
+	},
+	{
+		"desc":"Why exception occurs in CarbonData when Disk Space Quota is set for the storage directory in HDFS?The data will be written to HDFS when you during create table, load tabl",
+		"product_code":"mrs",
+		"title":"Why Exception Occurs in CarbonData When Disk Space Quota is Set for Storage Directory in HDFS?",
+		"uri":"mrs_01_1473.html",
+		"doc_type":"cmpntguide",
+		"p_code":"65",
+		"code":"81"
+	},
+	{
+		"desc":"Why does data query or loading fail and \"org.apache.carbondata.core.memory.MemoryException: Not enough memory\" is displayed?This exception is thrown when the out-of-heap ",
+		"product_code":"mrs",
+		"title":"Why Does Data Query or Loading Fail and \"org.apache.carbondata.core.memory.MemoryException: Not enough memory\" Is Displayed?",
+		"uri":"mrs_01_1474.html",
+		"doc_type":"cmpntguide",
+		"p_code":"65",
+		"code":"82"
+	},
+	{
+		"desc":"Why do files of a Carbon table exist in the recycle bin even if the drop table command is not executed when mis-deletion prevention is enabled?After the the mis-deletion ",
+		"product_code":"mrs",
+		"title":"Why Do Files of a Carbon Table Exist in the Recycle Bin Even If the drop table Command Is Not Executed When Mis-deletion Prevention Is Enabled?",
+		"uri":"mrs_01_24537.html",
+		"doc_type":"cmpntguide",
+		"p_code":"65",
+		"code":"83"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using ClickHouse",
+		"uri":"mrs_01_2344.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"84"
+	},
+	{
+		"desc":"ClickHouse is a column-based database oriented to online analysis and processing. It supports SQL query and provides good query performance. The aggregation analysis and ",
+		"product_code":"mrs",
+		"title":"Using ClickHouse from Scratch",
+		"uri":"mrs_01_2345.html",
+		"doc_type":"cmpntguide",
+		"p_code":"84",
+		"code":"85"
+	},
+	{
+		"desc":"Table engines play a key role in ClickHouse to determine:Where to write and read dataSupported query modesWhether concurrent data access is supportedWhether indexes can b",
+		"product_code":"mrs",
+		"title":"ClickHouse Table Engine Overview",
+		"uri":"mrs_01_24105.html",
+		"doc_type":"cmpntguide",
+		"p_code":"84",
+		"code":"86"
+	},
+	{
+		"desc":"ClickHouse implements the replicated table mechanism based on the ReplicatedMergeTree engine and ZooKeeper. When creating a table, you can specify an engine to determine ",
+		"product_code":"mrs",
+		"title":"Creating a ClickHouse Table",
+		"uri":"mrs_01_2398.html",
+		"doc_type":"cmpntguide",
+		"p_code":"84",
+		"code":"87"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Common ClickHouse SQL Syntax",
+		"uri":"mrs_01_24199.html",
+		"doc_type":"cmpntguide",
+		"p_code":"84",
+		"code":"88"
+	},
+	{
+		"desc":"This section describes the basic syntax and usage of the SQL statement for creating a ClickHouse database.CREATE DATABASE [IF NOT EXISTS] Database_name [ON CLUSTERClickHo",
+		"product_code":"mrs",
+		"title":"CREATE DATABASE: Creating a Database",
+		"uri":"mrs_01_24200.html",
+		"doc_type":"cmpntguide",
+		"p_code":"88",
+		"code":"89"
+	},
+	{
+		"desc":"This section describes the basic syntax and usage of the SQL statement for creating a ClickHouse table.Method 1: Creating a table named table_name in the specified databa",
+		"product_code":"mrs",
+		"title":"CREATE TABLE: Creating a Table",
+		"uri":"mrs_01_24201.html",
+		"doc_type":"cmpntguide",
+		"p_code":"88",
+		"code":"90"
+	},
+	{
+		"desc":"This section describes the basic syntax and usage of the SQL statement for inserting data to a table in ClickHouse.Method 1: Inserting data in standard formatINSERT INTO ",
+		"product_code":"mrs",
+		"title":"INSERT INTO: Inserting Data into a Table",
+		"uri":"mrs_01_24202.html",
+		"doc_type":"cmpntguide",
+		"p_code":"88",
+		"code":"91"
+	},
+	{
+		"desc":"This section describes the basic syntax and usage of the SQL statement for querying table data in ClickHouse.SELECT [DISTINCT] expr_list[FROM[database_name.]table| (subqu",
+		"product_code":"mrs",
+		"title":"SELECT: Querying Table Data",
+		"uri":"mrs_01_24203.html",
+		"doc_type":"cmpntguide",
+		"p_code":"88",
+		"code":"92"
+	},
+	{
+		"desc":"This section describes the basic syntax and usage of the SQL statement for modifying a table structure in ClickHouse.ALTER TABLE [database_name].name[ON CLUSTER cluster] ",
+		"product_code":"mrs",
+		"title":"ALTER TABLE: Modifying a Table Structure",
+		"uri":"mrs_01_24204.html",
+		"doc_type":"cmpntguide",
+		"p_code":"88",
+		"code":"93"
+	},
+	{
+		"desc":"This section describes the basic syntax and usage of the SQL statement for querying a table structure in ClickHouse.DESC|DESCRIBETABLE[database_name.]table[INTOOUTFILE fi",
+		"product_code":"mrs",
+		"title":"DESC: Querying a Table Structure",
+		"uri":"mrs_01_24205.html",
+		"doc_type":"cmpntguide",
+		"p_code":"88",
+		"code":"94"
+	},
+	{
+		"desc":"This section describes the basic syntax and usage of the SQL statement for deleting a ClickHouse table.DROP[TEMPORARY] TABLE[IF EXISTS] [database_name.]name[ON CLUSTER cl",
+		"product_code":"mrs",
+		"title":"DROP: Deleting a Table",
+		"uri":"mrs_01_24208.html",
+		"doc_type":"cmpntguide",
+		"p_code":"88",
+		"code":"95"
+	},
+	{
+		"desc":"This section describes the basic syntax and usage of the SQL statement for displaying information about databases and tables in ClickHouse.show databasesshow tables",
+		"product_code":"mrs",
+		"title":"SHOW: Displaying Information About Databases and Tables",
+		"uri":"mrs_01_24207.html",
+		"doc_type":"cmpntguide",
+		"p_code":"88",
+		"code":"96"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Migrating ClickHouse Data",
+		"uri":"mrs_01_24250.html",
+		"doc_type":"cmpntguide",
+		"p_code":"84",
+		"code":"97"
+	},
+	{
+		"desc":"This section describes the basic syntax and usage of the SQL statements for importing and exporting file data using ClickHouse.Importing data in CSV formatclickhouse clie",
+		"product_code":"mrs",
+		"title":"Using ClickHouse to Import and Export Data",
+		"uri":"mrs_01_24206.html",
+		"doc_type":"cmpntguide",
+		"p_code":"97",
+		"code":"98"
+	},
+	{
+		"desc":"This section describes how to create a Kafka table to automatically synchronize Kafka data to the ClickHouse cluster.You have created a Kafka cluster. The Kafka client ha",
+		"product_code":"mrs",
+		"title":"Synchronizing Kafka Data to ClickHouse",
+		"uri":"mrs_01_24377.html",
+		"doc_type":"cmpntguide",
+		"p_code":"97",
+		"code":"99"
+	},
+	{
+		"desc":"The ClickHouse data migration tool can migrate some partitions of one or more partitioned MergeTree tables on several ClickHouseServer nodes to the same tables on other C",
+		"product_code":"mrs",
+		"title":"Using the ClickHouse Data Migration Tool",
+		"uri":"mrs_01_24198.html",
+		"doc_type":"cmpntguide",
+		"p_code":"97",
+		"code":"100"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"User Management and Authentication",
+		"uri":"mrs_01_24251.html",
+		"doc_type":"cmpntguide",
+		"p_code":"84",
+		"code":"101"
+	},
+	{
+		"desc":"ClickHouse user permission management enables unified management of users, roles, and permissions on each ClickHouse instance in the cluster. You can use the permission m",
+		"product_code":"mrs",
+		"title":"ClickHouse User and Permission Management",
+		"uri":"mrs_01_24057.html",
+		"doc_type":"cmpntguide",
+		"p_code":"101",
+		"code":"102"
+	},
+	{
+		"desc":"ClickHouse can be interconnected with OpenLDAP. You can manage accounts and permissions in a centralized manner by adding the OpenLDAP server configuration and creating u",
+		"product_code":"mrs",
+		"title":"Interconnecting ClickHouse With OpenLDAP for Authentication",
+		"uri":"mrs_01_24109.html",
+		"doc_type":"cmpntguide",
+		"p_code":"101",
+		"code":"103"
+	},
+	{
+		"desc":"This section describes how to back up data by exporting ClickHouse data to a CSV file and restore data using the CSV file.You have installed the ClickHouse client.You hav",
+		"product_code":"mrs",
+		"title":"Backing Up and Restoring ClickHouse Data Using a Data File",
+		"uri":"mrs_01_24292.html",
+		"doc_type":"cmpntguide",
+		"p_code":"84",
+		"code":"104"
+	},
+	{
+		"desc":"Log path: The default storage path of ClickHouse log files is as follows: ${BIGDATA_LOG_HOME}/clickhouseLog archive rule: The automatic ClickHouse log compression functio",
+		"product_code":"mrs",
+		"title":"ClickHouse Log Overview",
+		"uri":"mrs_01_2399.html",
+		"doc_type":"cmpntguide",
+		"p_code":"84",
+		"code":"105"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using DBService",
+		"uri":"mrs_01_2356.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"106"
+	},
+	{
+		"desc":"Log path: The default storage path of DBService log files is /var/log/Bigdata/dbservice.GaussDB: /var/log/Bigdata/dbservice/DB (GaussDB run log directory), /var/log/Bigda",
+		"product_code":"mrs",
+		"title":"DBService Log Overview",
+		"uri":"mrs_01_0789.html",
+		"doc_type":"cmpntguide",
+		"p_code":"106",
+		"code":"107"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using Flink",
+		"uri":"mrs_01_0591.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"108"
+	},
+	{
+		"desc":"This section describes how to use Flink to run wordcount jobs.Flink has been installed in an MRS cluster.The cluster runs properly and the client has been correctly insta",
+		"product_code":"mrs",
+		"title":"Using Flink from Scratch",
+		"uri":"mrs_01_0473.html",
+		"doc_type":"cmpntguide",
+		"p_code":"108",
+		"code":"109"
+	},
+	{
+		"desc":"You can view Flink job information on the Yarn web UI.The Flink service has been installed in a cluster.For versions earlier than MRS 1.9.2, log in to MRS Manager and cho",
+		"product_code":"mrs",
+		"title":"Viewing Flink Job Information",
+		"uri":"mrs_01_0784.html",
+		"doc_type":"cmpntguide",
+		"p_code":"108",
+		"code":"110"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Flink Configuration Management",
+		"uri":"mrs_01_0592.html",
+		"doc_type":"cmpntguide",
+		"p_code":"108",
+		"code":"111"
+	},
+	{
+		"desc":"All parameters of Flink must be set on a client. The path of a configuration file is as follows: Client installation path/Flink/flink/conf/flink-conf.yaml.You are advised",
+		"product_code":"mrs",
+		"title":"Configuring Parameter Paths",
+		"uri":"mrs_01_1565.html",
+		"doc_type":"cmpntguide",
+		"p_code":"111",
+		"code":"112"
+	},
+	{
+		"desc":"JobManager and TaskManager are main components of Flink. You can configure the parameters for different security and performance scenarios on the client.Main configuratio",
+		"product_code":"mrs",
+		"title":"JobManager & TaskManager",
+		"uri":"mrs_01_1566.html",
+		"doc_type":"cmpntguide",
+		"p_code":"111",
+		"code":"113"
+	},
+	{
+		"desc":"The Blob server on the JobManager node is used to receive JAR files uploaded by users on the client, send JAR files to TaskManager, and transfer log files. Flink provides",
+		"product_code":"mrs",
+		"title":"Blob",
+		"uri":"mrs_01_1567.html",
+		"doc_type":"cmpntguide",
+		"p_code":"111",
+		"code":"114"
+	},
+	{
+		"desc":"The Akka actor model is the basis of communications between the Flink client and JobManager, JobManager and TaskManager, as well as TaskManager and TaskManager. Flink ena",
+		"product_code":"mrs",
+		"title":"Distributed Coordination (via Akka)",
+		"uri":"mrs_01_1568.html",
+		"doc_type":"cmpntguide",
+		"p_code":"111",
+		"code":"115"
+	},
+	{
+		"desc":"When the secure Flink cluster is required, SSL-related configuration items must be set.Configuration items include the SSL switch, certificate, password, and encryption a",
+		"product_code":"mrs",
+		"title":"SSL",
+		"uri":"mrs_01_1569.html",
+		"doc_type":"cmpntguide",
+		"p_code":"111",
+		"code":"116"
+	},
+	{
+		"desc":"When Flink runs a job, data transmission and reverse pressure detection between tasks depend on Netty. In certain environments, Netty parameters should be configured.For ",
+		"product_code":"mrs",
+		"title":"Network communication (via Netty)",
+		"uri":"mrs_01_1570.html",
+		"doc_type":"cmpntguide",
+		"p_code":"111",
+		"code":"117"
+	},
+	{
+		"desc":"When JobManager is started, the web server in the same process is also started.You can access the web server to obtain information about the current Flink cluster, includ",
+		"product_code":"mrs",
+		"title":"JobManager Web Frontend",
+		"uri":"mrs_01_1571.html",
+		"doc_type":"cmpntguide",
+		"p_code":"111",
+		"code":"118"
+	},
+	{
+		"desc":"Result files are created when tasks are running. Flink enables you to configure parameters for file creation.Configuration items include overwriting policy and directory ",
+		"product_code":"mrs",
+		"title":"File Systems",
+		"uri":"mrs_01_1572.html",
+		"doc_type":"cmpntguide",
+		"p_code":"111",
+		"code":"119"
+	},
+	{
+		"desc":"Flink enables HA and job exception, as well as job pause and recovery during version upgrade. Flink depends on state backend to store job states and on the restart strate",
+		"product_code":"mrs",
+		"title":"State Backend",
+		"uri":"mrs_01_1573.html",
+		"doc_type":"cmpntguide",
+		"p_code":"111",
+		"code":"120"
+	},
+	{
+		"desc":"Flink Kerberos configuration items must be configured in security mode.The configuration items include keytab and principal of Kerberos.",
+		"product_code":"mrs",
+		"title":"Kerberos-based Security",
+		"uri":"mrs_01_1574.html",
+		"doc_type":"cmpntguide",
+		"p_code":"111",
+		"code":"121"
+	},
+	{
+		"desc":"The Flink HA mode depends on ZooKeeper. Therefore, ZooKeeper-related configuration items must be set.Configuration items include the ZooKeeper address, path, and security",
+		"product_code":"mrs",
+		"title":"HA",
+		"uri":"mrs_01_1575.html",
+		"doc_type":"cmpntguide",
+		"p_code":"111",
+		"code":"122"
+	},
+	{
+		"desc":"In scenarios raising special requirements on JVM configuration, users can use configuration items to transfer JVM parameters to the client, JobManager, and TaskManager.Co",
+		"product_code":"mrs",
+		"title":"Environment",
+		"uri":"mrs_01_1576.html",
+		"doc_type":"cmpntguide",
+		"p_code":"111",
+		"code":"123"
+	},
+	{
+		"desc":"Flink runs on a Yarn cluster and JobManager runs on ApplicationMaster. Certain configuration parameters of JobManager depend on Yarn. By setting Yarn-related configuratio",
+		"product_code":"mrs",
+		"title":"Yarn",
+		"uri":"mrs_01_1577.html",
+		"doc_type":"cmpntguide",
+		"p_code":"111",
+		"code":"124"
+	},
+	{
+		"desc":"The Netty connection is used among multiple jobs to reduce latency. In this case, NettySink is used on the server and NettySource is used on the client for data transmiss",
+		"product_code":"mrs",
+		"title":"Pipeline",
+		"uri":"mrs_01_1578.html",
+		"doc_type":"cmpntguide",
+		"p_code":"111",
+		"code":"125"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Security Configuration",
+		"uri":"mrs_01_0593.html",
+		"doc_type":"cmpntguide",
+		"p_code":"108",
+		"code":"126"
+	},
+	{
+		"desc":"All Flink cluster components support authentication.The Kerberos authentication is supported between Flink cluster components and external components, such as Yarn, HDFS,",
+		"product_code":"mrs",
+		"title":"Security Features",
+		"uri":"mrs_01_1579.html",
+		"doc_type":"cmpntguide",
+		"p_code":"126",
+		"code":"127"
+	},
+	{
+		"desc":"Sample project data of Flink is stored in Kafka. A user with Kafka permission can send data to Kafka and receive data from it.Run Linux command line to create a topic. Be",
+		"product_code":"mrs",
+		"title":"Configuring Kafka",
+		"uri":"mrs_01_1580.html",
+		"doc_type":"cmpntguide",
+		"p_code":"126",
+		"code":"128"
+	},
+	{
+		"desc":"This section applies to MRS 3.x or later clusters.Configure files.nettyconnector.registerserver.topic.storage: (Mandatory) Configures the path (on a third-party server) t",
+		"product_code":"mrs",
+		"title":"Configuring Pipeline",
+		"uri":"mrs_01_1581.html",
+		"doc_type":"cmpntguide",
+		"p_code":"126",
+		"code":"129"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Security Hardening",
+		"uri":"mrs_01_0594.html",
+		"doc_type":"cmpntguide",
+		"p_code":"108",
+		"code":"130"
+	},
+	{
+		"desc":"Flink uses the following three authentication modes:Kerberos authentication: It is used between the Flink Yarn client and Yarn ResourceManager, JobManager and ZooKeeper, ",
+		"product_code":"mrs",
+		"title":"Authentication and Encryption",
+		"uri":"mrs_01_1583.html",
+		"doc_type":"cmpntguide",
+		"p_code":"130",
+		"code":"131"
+	},
+	{
+		"desc":"In HA mode of Flink, ZooKeeper can be used to manage clusters and discover services. Zookeeper supports SASL ACL control. Only users who have passed the SASL (Kerberos) a",
+		"product_code":"mrs",
+		"title":"ACL Control",
+		"uri":"mrs_01_1584.html",
+		"doc_type":"cmpntguide",
+		"p_code":"130",
+		"code":"132"
+	},
+	{
+		"desc":"Note: The same coding mode is used on the web service client and server to prevent garbled characters and to enable input verification.Security hardening: apply UTF-8 to ",
+		"product_code":"mrs",
+		"title":"Web Security",
+		"uri":"mrs_01_1585.html",
+		"doc_type":"cmpntguide",
+		"p_code":"130",
+		"code":"133"
+	},
+	{
+		"desc":"All security functions of Flink are provided by the open source community or self-developed. Security features that need to be configured by users, such as authentication",
+		"product_code":"mrs",
+		"title":"Security Statement",
+		"uri":"mrs_01_1586.html",
+		"doc_type":"cmpntguide",
+		"p_code":"108",
+		"code":"134"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using the Flink Web UI",
+		"uri":"mrs_01_24014.html",
+		"doc_type":"cmpntguide",
+		"p_code":"108",
+		"code":"135"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Overview",
+		"uri":"mrs_01_24015.html",
+		"doc_type":"cmpntguide",
+		"p_code":"135",
+		"code":"136"
+	},
+	{
+		"desc":"Flink web UI provides a web-based visual development platform. You only need to compile SQL statements to develop jobs, slashing the job development threshold. In additio",
+		"product_code":"mrs",
+		"title":"Introduction to Flink Web UI",
+		"uri":"mrs_01_24016.html",
+		"doc_type":"cmpntguide",
+		"p_code":"136",
+		"code":"137"
+	},
+	{
+		"desc":"The Flink web UI application process is shown as follows:",
+		"product_code":"mrs",
+		"title":"Flink Web UI Application Process",
+		"uri":"mrs_01_24017.html",
+		"doc_type":"cmpntguide",
+		"p_code":"136",
+		"code":"138"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"FlinkServer Permissions Management",
+		"uri":"mrs_01_24047.html",
+		"doc_type":"cmpntguide",
+		"p_code":"135",
+		"code":"139"
+	},
+	{
+		"desc":"User admin of Manager does not have the FlinkServer service operation permission. To perform FlinkServer service operations, you need to grant related permission to the u",
+		"product_code":"mrs",
+		"title":"Overview",
+		"uri":"mrs_01_24048.html",
+		"doc_type":"cmpntguide",
+		"p_code":"139",
+		"code":"140"
+	},
+	{
+		"desc":"This section describes how to create and configure a FlinkServer role on Manager as the system administrator. A FlinkServer role can be configured with FlinkServer admini",
+		"product_code":"mrs",
+		"title":"Authentication Based on Users and Roles",
+		"uri":"mrs_01_24049.html",
+		"doc_type":"cmpntguide",
+		"p_code":"139",
+		"code":"141"
+	},
+	{
+		"desc":"After Flink is installed in an MRS cluster, you can connect to clusters and data as well as manage stream tables and jobs using the Flink web UI.This section describes ho",
+		"product_code":"mrs",
+		"title":"Accessing the Flink Web UI",
+		"uri":"mrs_01_24019.html",
+		"doc_type":"cmpntguide",
+		"p_code":"135",
+		"code":"142"
+	},
+	{
+		"desc":"Applications can be used to isolate different upper-layer services.After the application is created, you can switch to the application to be operated in the upper left co",
+		"product_code":"mrs",
+		"title":"Creating an Application on the Flink Web UI",
+		"uri":"mrs_01_24020.html",
+		"doc_type":"cmpntguide",
+		"p_code":"135",
+		"code":"143"
+	},
+	{
+		"desc":"Different clusters can be accessed by configuring the cluster connection.To obtain the cluster client configuration files, perform the following steps:Log in to FusionIns",
+		"product_code":"mrs",
+		"title":"Creating a Cluster Connection on the Flink Web UI",
+		"uri":"mrs_01_24021.html",
+		"doc_type":"cmpntguide",
+		"p_code":"135",
+		"code":"144"
+	},
+	{
+		"desc":"You can use data connections to access different data services. Currently, FlinkServer supports HDFS and Kafka data connections.",
+		"product_code":"mrs",
+		"title":"Creating a Data Connection on the Flink Web UI",
+		"uri":"mrs_01_24022.html",
+		"doc_type":"cmpntguide",
+		"p_code":"135",
+		"code":"145"
+	},
+	{
+		"desc":"Data tables can be used to define basic attributes and parameters of source tables, dimension tables, and output tables.",
+		"product_code":"mrs",
+		"title":"Managing Tables on the Flink Web UI",
+		"uri":"mrs_01_24023.html",
+		"doc_type":"cmpntguide",
+		"p_code":"135",
+		"code":"146"
+	},
+	{
+		"desc":"Define Flink jobs, including Flink SQL and Flink JAR jobs.Creating a Flink SQL jobDevelop the job on the job development page.Click Check Semantic to check the input cont",
+		"product_code":"mrs",
+		"title":"Managing Jobs on the Flink Web UI",
+		"uri":"mrs_01_24024.html",
+		"doc_type":"cmpntguide",
+		"p_code":"135",
+		"code":"147"
+	},
+	{
+		"desc":"Log path:Run logs of a Flink job: ${BIGDATA_DATA_HOME}/hadoop/data${i}/nm/containerlogs/application_${appid}/container_{$contid}The logs of executing tasks are stored in ",
+		"product_code":"mrs",
+		"title":"Flink Log Overview",
+		"uri":"mrs_01_0596.html",
+		"doc_type":"cmpntguide",
+		"p_code":"108",
+		"code":"148"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Flink Performance Tuning",
+		"uri":"mrs_01_0597.html",
+		"doc_type":"cmpntguide",
+		"p_code":"108",
+		"code":"149"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Optimization DataStream",
+		"uri":"mrs_01_1587.html",
+		"doc_type":"cmpntguide",
+		"p_code":"149",
+		"code":"150"
+	},
+	{
+		"desc":"The computing of Flink depends on memory. If the memory is insufficient, the performance of Flink will be greatly deteriorated. One solution is to monitor garbage collect",
+		"product_code":"mrs",
+		"title":"Memory Configuration Optimization",
+		"uri":"mrs_01_1588.html",
+		"doc_type":"cmpntguide",
+		"p_code":"150",
+		"code":"151"
+	},
+	{
+		"desc":"The degree of parallelism (DOP) indicates the number of tasks to be executed concurrently. It determines the number of data blocks after the operation. Configuring the DO",
+		"product_code":"mrs",
+		"title":"Configuring DOP",
+		"uri":"mrs_01_1589.html",
+		"doc_type":"cmpntguide",
+		"p_code":"150",
+		"code":"152"
+	},
+	{
+		"desc":"In Flink on Yarn mode, there are JobManagers and TaskManagers. JobManagers and TaskManagers schedule and run tasks.Therefore, configuring parameters of JobManagers and Ta",
+		"product_code":"mrs",
+		"title":"Configuring Process Parameters",
+		"uri":"mrs_01_1590.html",
+		"doc_type":"cmpntguide",
+		"p_code":"150",
+		"code":"153"
+	},
+	{
+		"desc":"The divide of tasks can be optimized by optimizing the partitioning method. If data skew occurs in a certain task, the whole execution process is delayed. Therefore, when",
+		"product_code":"mrs",
+		"title":"Optimizing the Design of Partitioning Method",
+		"uri":"mrs_01_1591.html",
+		"doc_type":"cmpntguide",
+		"p_code":"150",
+		"code":"154"
+	},
+	{
+		"desc":"The communication of Flink is based on Netty network. The network performance determines the data switching speed and task execution efficiency. Therefore, the performanc",
+		"product_code":"mrs",
+		"title":"Configuring the Netty Network Communication",
+		"uri":"mrs_01_1592.html",
+		"doc_type":"cmpntguide",
+		"p_code":"150",
+		"code":"155"
+	},
+	{
+		"desc":"If data skew occurs (certain data volume is extremely large), the execution time of tasks is inconsistent even though no GC is performed.Redefine keys. Use keys of smalle",
+		"product_code":"mrs",
+		"title":"Experience Summary",
+		"uri":"mrs_01_1593.html",
+		"doc_type":"cmpntguide",
+		"p_code":"150",
+		"code":"156"
+	},
+	{
+		"desc":"This section applies to MRS 3.x or later clusters.Before running the Flink shell commands, perform the following steps:source /opt/client/bigdata_envkinit Service user",
+		"product_code":"mrs",
+		"title":"Common Flink Shell Commands",
+		"uri":"mrs_01_0598.html",
+		"doc_type":"cmpntguide",
+		"p_code":"108",
+		"code":"157"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using Flume",
+		"uri":"mrs_01_0390.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"158"
+	},
+	{
+		"desc":"You can use Flume to import collected log information to Kafka.A streaming cluster that contains components such as Flume and Kafka and has Kerberos authentication enable",
+		"product_code":"mrs",
+		"title":"Using Flume from Scratch",
+		"uri":"mrs_01_0397.html",
+		"doc_type":"cmpntguide",
+		"p_code":"158",
+		"code":"159"
+	},
+	{
+		"desc":"Flume is a distributed, reliable, and highly available system for aggregating massive logs, which can efficiently collect, aggregate, and move massive log data from diffe",
+		"product_code":"mrs",
+		"title":"Overview",
+		"uri":"mrs_01_0391.html",
+		"doc_type":"cmpntguide",
+		"p_code":"158",
+		"code":"160"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Installing the Flume Client",
+		"uri":"mrs_01_0392.html",
+		"doc_type":"cmpntguide",
+		"p_code":"158",
+		"code":"161"
+	},
+	{
+		"desc":"To use Flume to collect logs, you must install the Flume client on a log host. You can create an ECS and install the Flume client on it.This section applies to MRS 3.x or",
+		"product_code":"mrs",
+		"title":"Installing the Flume Client on Clusters of Versions Earlier Than MRS 3.x",
+		"uri":"mrs_01_1594.html",
+		"doc_type":"cmpntguide",
+		"p_code":"161",
+		"code":"162"
+	},
+	{
+		"desc":"To use Flume to collect logs, you must install the Flume client on a log host. You can create an ECS and install the Flume client on it.This section applies to MRS 3.x or",
+		"product_code":"mrs",
+		"title":"Installing the Flume Client on MRS 3.x or Later Clusters",
+		"uri":"mrs_01_1595.html",
+		"doc_type":"cmpntguide",
+		"p_code":"161",
+		"code":"163"
+	},
+	{
+		"desc":"You can view logs to locate faults.The Flume client has been installed.ls -lR flume-client-*A log file is shown as follows:In the log file, FlumeClient.log is the run log",
+		"product_code":"mrs",
+		"title":"Viewing Flume Client Logs",
+		"uri":"mrs_01_0393.html",
+		"doc_type":"cmpntguide",
+		"p_code":"158",
+		"code":"164"
+	},
+	{
+		"desc":"You can stop and start the Flume client or uninstall the Flume client when the Flume data ingestion channel is not required.Stop the Flume client of the Flume role.Assume",
+		"product_code":"mrs",
+		"title":"Stopping or Uninstalling the Flume Client",
+		"uri":"mrs_01_0394.html",
+		"doc_type":"cmpntguide",
+		"p_code":"158",
+		"code":"165"
+	},
+	{
+		"desc":"You can use the encryption tool provided by the Flume client to encrypt some parameter values in the configuration file.The Flume client has been installed.cd fusioninsig",
+		"product_code":"mrs",
+		"title":"Using the Encryption Tool of the Flume Client",
+		"uri":"mrs_01_0395.html",
+		"doc_type":"cmpntguide",
+		"p_code":"158",
+		"code":"166"
+	},
+	{
+		"desc":"This section applies to MRS 3.x or later clusters.This configuration guide describes how to configure common Flume services. For non-common Source, Channel, and Sink conf",
+		"product_code":"mrs",
+		"title":"Flume Service Configuration Guide",
+		"uri":"mrs_01_1057.html",
+		"doc_type":"cmpntguide",
+		"p_code":"158",
+		"code":"167"
+	},
+	{
+		"desc":"For versions earlier than MRS 3.x, configure Flume parameters in the properties.properties file.For MRS 3.x or later, some parameters can be configured on Manager.This se",
+		"product_code":"mrs",
+		"title":"Flume Configuration Parameter Description",
+		"uri":"mrs_01_0396.html",
+		"doc_type":"cmpntguide",
+		"p_code":"158",
+		"code":"168"
+	},
+	{
+		"desc":"This section describes how to use environment variables in the properties.properties configuration file.This section applies to MRS 3.x or later clusters.The Flume servic",
+		"product_code":"mrs",
+		"title":"Using Environment Variables in the properties.properties File",
+		"uri":"mrs_01_1058.html",
+		"doc_type":"cmpntguide",
+		"p_code":"158",
+		"code":"169"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Non-Encrypted Transmission",
+		"uri":"mrs_01_1059.html",
+		"doc_type":"cmpntguide",
+		"p_code":"158",
+		"code":"170"
+	},
+	{
+		"desc":"This section describes how to configure Flume server and client parameters after the cluster and the Flume service are installed to ensure proper running of the service.T",
+		"product_code":"mrs",
+		"title":"Configuring Non-encrypted Transmission",
+		"uri":"mrs_01_1060.html",
+		"doc_type":"cmpntguide",
+		"p_code":"170",
+		"code":"171"
+	},
+	{
+		"desc":"This section describes how to use the Flume client to collect static logs from a local host and save them to the topic list (test1) of Kafka.This section applies to MRS 3",
+		"product_code":"mrs",
+		"title":"Typical Scenario: Collecting Local Static Logs and Uploading Them to Kafka",
+		"uri":"mrs_01_1061.html",
+		"doc_type":"cmpntguide",
+		"p_code":"170",
+		"code":"172"
+	},
+	{
+		"desc":"This section describes how to use the Flume client to collect static logs from a local host and save them to the /flume/test directory on HDFS.This section applies to MRS",
+		"product_code":"mrs",
+		"title":"Typical Scenario: Collecting Local Static Logs and Uploading Them to HDFS",
+		"uri":"mrs_01_1063.html",
+		"doc_type":"cmpntguide",
+		"p_code":"170",
+		"code":"173"
+	},
+	{
+		"desc":"This section describes how to use the Flume client to collect dynamic logs from a local host and save them to the /flume/test directory on HDFS.This section applies to MR",
+		"product_code":"mrs",
+		"title":"Typical Scenario: Collecting Local Dynamic Logs and Uploading Them to HDFS",
+		"uri":"mrs_01_1064.html",
+		"doc_type":"cmpntguide",
+		"p_code":"170",
+		"code":"174"
+	},
+	{
+		"desc":"This section describes how to use the Flume client to collect logs from the topic list (test1) of Kafka and save them to the /flume/test directory on HDFS.This section ap",
+		"product_code":"mrs",
+		"title":"Typical Scenario: Collecting Logs from Kafka and Uploading Them to HDFS",
+		"uri":"mrs_01_1065.html",
+		"doc_type":"cmpntguide",
+		"p_code":"170",
+		"code":"175"
+	},
+	{
+		"desc":"This section describes how to use the Flume client to collect logs from the topic list (test1) of the Kafka client and save them to the /flume/test directory on HDFS.This",
+		"product_code":"mrs",
+		"title":"Typical Scenario: Collecting Logs from Kafka and Uploading Them to HDFS Through the Flume Client",
+		"uri":"mrs_01_1066.html",
+		"doc_type":"cmpntguide",
+		"p_code":"170",
+		"code":"176"
+	},
+	{
+		"desc":"This section describes how to use the Flume client to collect static logs from a local host and save them to the flume_test HBase table. In this scenario, multi-level age",
+		"product_code":"mrs",
+		"title":"Typical Scenario: Collecting Local Static Logs and Uploading Them to HBase",
+		"uri":"mrs_01_1067.html",
+		"doc_type":"cmpntguide",
+		"p_code":"170",
+		"code":"177"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Encrypted Transmission",
+		"uri":"mrs_01_1068.html",
+		"doc_type":"cmpntguide",
+		"p_code":"158",
+		"code":"178"
+	},
+	{
+		"desc":"This section describes how to configure the server and client parameters of the Flume service (including the Flume and MonitorServer roles) after the cluster is installed",
+		"product_code":"mrs",
+		"title":"Configuring the Encrypted Transmission",
+		"uri":"mrs_01_1069.html",
+		"doc_type":"cmpntguide",
+		"p_code":"178",
+		"code":"179"
+	},
+	{
+		"desc":"This section describes how to use Flume to collect static logs from a local host and save them to the /flume/test directory on HDFS.This section applies to MRS 3.x or lat",
+		"product_code":"mrs",
+		"title":"Typical Scenario: Collecting Local Static Logs and Uploading Them to HDFS",
+		"uri":"mrs_01_1070.html",
+		"doc_type":"cmpntguide",
+		"p_code":"178",
+		"code":"180"
+	},
+	{
+		"desc":"The Flume client outside the FusionInsight cluster is a part of the end-to-end data collection. Both the Flume client outside the cluster and the Flume server in the clus",
+		"product_code":"mrs",
+		"title":"Viewing Flume Client Monitoring Information",
+		"uri":"mrs_01_1596.html",
+		"doc_type":"cmpntguide",
+		"p_code":"158",
+		"code":"181"
+	},
+	{
+		"desc":"This section describes how to connect to Kafka using the Flume client in security mode.This section applies to MRS 3.x or later.Set keyTab and principal based on site req",
+		"product_code":"mrs",
+		"title":"Connecting Flume to Kafka in Security Mode",
+		"uri":"mrs_01_1071.html",
+		"doc_type":"cmpntguide",
+		"p_code":"158",
+		"code":"182"
+	},
+	{
+		"desc":"This section describes how to use Flume to connect to Hive (version 3.1.0) in the cluster.This section applies to MRS 3.x or later.Flume and Hive have been correctly inst",
+		"product_code":"mrs",
+		"title":"Connecting Flume with Hive in Security Mode",
+		"uri":"mrs_01_1072.html",
+		"doc_type":"cmpntguide",
+		"p_code":"158",
+		"code":"183"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Configuring the Flume Service Model",
+		"uri":"mrs_01_1073.html",
+		"doc_type":"cmpntguide",
+		"p_code":"158",
+		"code":"184"
+	},
+	{
+		"desc":"This section applies to MRS 3.x or later.Guide a reasonable Flume service configuration by providing performance differences between Flume common modules, to avoid a nons",
+		"product_code":"mrs",
+		"title":"Overview",
+		"uri":"mrs_01_1074.html",
+		"doc_type":"cmpntguide",
+		"p_code":"184",
+		"code":"185"
+	},
+	{
+		"desc":"This section applies to MRS 3.x or later.During Flume service configuration and module selection, the ultimate throughput of a sink must be greater than the maximum throu",
+		"product_code":"mrs",
+		"title":"Service Model Configuration Guide",
+		"uri":"mrs_01_1075.html",
+		"doc_type":"cmpntguide",
+		"p_code":"184",
+		"code":"186"
+	},
+	{
+		"desc":"Log path: The default path of Flume log files is /var/log/Bigdata/Role name.FlumeServer: /var/log/Bigdata/flume/flumeFlumeClient: /var/log/Bigdata/flume-client-n/flumeMon",
+		"product_code":"mrs",
+		"title":"Introduction to Flume Logs",
+		"uri":"mrs_01_1081.html",
+		"doc_type":"cmpntguide",
+		"p_code":"158",
+		"code":"187"
+	},
+	{
+		"desc":"This section describes how to join and log out of a cgroup, query the cgroup status, and change the cgroup CPU threshold.This section applies to MRS 3.x or later.Join Cgr",
+		"product_code":"mrs",
+		"title":"Flume Client Cgroup Usage Guide",
+		"uri":"mrs_01_1082.html",
+		"doc_type":"cmpntguide",
+		"p_code":"158",
+		"code":"188"
+	},
+	{
+		"desc":"This section describes how to perform secondary development for third-party plug-ins.This section applies to MRS 3.x or later.You have obtained the third-party JAR packag",
+		"product_code":"mrs",
+		"title":"Secondary Development Guide for Flume Third-Party Plug-ins",
+		"uri":"mrs_01_1083.html",
+		"doc_type":"cmpntguide",
+		"p_code":"158",
+		"code":"189"
+	},
+	{
+		"desc":"Flume logs are stored in /var/log/Bigdata/flume/flume/flumeServer.log. Most data transmission exceptions and data transmission failures are recorded in logs. You can run ",
+		"product_code":"mrs",
+		"title":"Common Issues About Flume",
+		"uri":"mrs_01_1598.html",
+		"doc_type":"cmpntguide",
+		"p_code":"158",
+		"code":"190"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using HBase",
+		"uri":"mrs_01_0500.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"191"
+	},
+	{
+		"desc":"HBase is a column-based distributed storage system that features high reliability, performance, and scalability. This section describes how to use HBase from scratch, inc",
+		"product_code":"mrs",
+		"title":"Using HBase from Scratch",
+		"uri":"mrs_01_0368.html",
+		"doc_type":"cmpntguide",
+		"p_code":"191",
+		"code":"192"
+	},
+	{
+		"desc":"This section describes how to use the HBase client in an O&M scenario or a service scenario.The client has been installed. For example, the installation directory is /opt",
+		"product_code":"mrs",
+		"title":"Using an HBase Client",
+		"uri":"bakmrs_01_0368.html",
+		"doc_type":"cmpntguide",
+		"p_code":"191",
+		"code":"193"
+	},
+	{
+		"desc":"This section guides the system administrator to create and configure an HBase role on Manager. The HBase role can set HBase administrator permissions and read (R), write ",
+		"product_code":"mrs",
+		"title":"Creating HBase Roles",
+		"uri":"mrs_01_1608.html",
+		"doc_type":"cmpntguide",
+		"p_code":"191",
+		"code":"194"
+	},
+	{
+		"desc":"As a key feature to ensure high availability of the HBase cluster system, HBase cluster replication provides HBase with remote data replication in real time. It provides ",
+		"product_code":"mrs",
+		"title":"Configuring HBase Replication",
+		"uri":"mrs_01_0501.html",
+		"doc_type":"cmpntguide",
+		"p_code":"191",
+		"code":"195"
+	},
+	{
+		"desc":"The operations described in this section apply only to clusters of versions earlier than MRS 3.x.If the default parameter settings of the MRS service cannot meet your req",
+		"product_code":"mrs",
+		"title":"Configuring HBase Parameters",
+		"uri":"mrs_01_0443.html",
+		"doc_type":"cmpntguide",
+		"p_code":"191",
+		"code":"196"
+	},
+	{
+		"desc":"DistCp is used to copy the data stored on HDFS from a cluster to another cluster. DistCp depends on the cross-cluster copy function, which is disabled by default. This fu",
+		"product_code":"mrs",
+		"title":"Enabling Cross-Cluster Copy",
+		"uri":"mrs_01_0502.html",
+		"doc_type":"cmpntguide",
+		"p_code":"191",
+		"code":"197"
+	},
+	{
+		"desc":"Active and standby clusters have been installed and started.Time is consistent between the active and standby clusters and the NTP service on the active and standby clust",
+		"product_code":"mrs",
+		"title":"Using the ReplicationSyncUp Tool",
+		"uri":"mrs_01_0510.html",
+		"doc_type":"cmpntguide",
+		"p_code":"191",
+		"code":"198"
+	},
+	{
+		"desc":"This section applies only to MRS 3.1.0 or later.This section describes common GeoMesa commands. For more GeoMesa commands, visit https://www.geomesa.org/documentation/use",
+		"product_code":"mrs",
+		"title":"GeoMesa Command Line",
+		"uri":"mrs_01_24119.html",
+		"doc_type":"cmpntguide",
+		"p_code":"191",
+		"code":"199"
+	},
+	{
+		"desc":"HBase disaster recovery (DR), a key feature that is used to ensure high availability (HA) of the HBase cluster system, provides the real-time remote DR function for HBase",
+		"product_code":"mrs",
+		"title":"Configuring HBase DR",
+		"uri":"mrs_01_1609.html",
+		"doc_type":"cmpntguide",
+		"p_code":"191",
+		"code":"200"
+	},
+	{
+		"desc":"HBase encodes data blocks in HFiles to reduce duplicate keys in KeyValues, reducing used space. Currently, the following data block encoding modes are supported: NONE, PR",
+		"product_code":"mrs",
+		"title":"Configuring HBase Data Compression and Encoding",
+		"uri":"mrs_01_24112.html",
+		"doc_type":"cmpntguide",
+		"p_code":"191",
+		"code":"201"
+	},
+	{
+		"desc":"The system administrator can configure HBase cluster DR to improve system availability. If the active cluster in the DR environment is faulty and the connection to the HB",
+		"product_code":"mrs",
+		"title":"Performing an HBase DR Service Switchover",
+		"uri":"mrs_01_1610.html",
+		"doc_type":"cmpntguide",
+		"p_code":"191",
+		"code":"202"
+	},
+	{
+		"desc":"The HBase cluster in the current environment is a DR cluster. Due to some reasons, the active and standby clusters need to be switched over. That is, the standby cluster ",
+		"product_code":"mrs",
+		"title":"Performing an HBase DR Active/Standby Cluster Switchover",
+		"uri":"mrs_01_1611.html",
+		"doc_type":"cmpntguide",
+		"p_code":"191",
+		"code":"203"
+	},
+	{
+		"desc":"The Apache HBase official website provides the function of importing data in batches. For details, see the description of the Import and ImportTsv tools at http://hbase.a",
+		"product_code":"mrs",
+		"title":"Community BulkLoad Tool",
+		"uri":"mrs_01_1612.html",
+		"doc_type":"cmpntguide",
+		"p_code":"191",
+		"code":"204"
+	},
+	{
+		"desc":"In the actual application scenario, data in various sizes needs to be stored, for example, image data and documents. Data whose size is smaller than 10 MB can be stored i",
+		"product_code":"mrs",
+		"title":"Configuring the MOB",
+		"uri":"mrs_01_1631.html",
+		"doc_type":"cmpntguide",
+		"p_code":"191",
+		"code":"205"
+	},
+	{
+		"desc":"This topic provides the procedure to configure the secure HBase replication during cross-realm Kerberos setup in security mode.Mapping for all the FQDNs to their realms s",
+		"product_code":"mrs",
+		"title":"Configuring Secure HBase Replication",
+		"uri":"mrs_01_1009.html",
+		"doc_type":"cmpntguide",
+		"p_code":"191",
+		"code":"206"
+	},
+	{
+		"desc":"In a faulty environment, there are possibilities that a region may be stuck in transition for longer duration due to various reasons like slow region server response, uns",
+		"product_code":"mrs",
+		"title":"Configuring Region In Transition Recovery Chore Service",
+		"uri":"mrs_01_1010.html",
+		"doc_type":"cmpntguide",
+		"p_code":"191",
+		"code":"207"
+	},
+	{
+		"desc":"Log path: The default storage path of HBase logs is /var/log/Bigdata/hbase/Role name.HMaster: /var/log/Bigdata/hbase/hm (run logs) and /var/log/Bigdata/audit/hbase/hm (au",
+		"product_code":"mrs",
+		"title":"HBase Log Overview",
+		"uri":"mrs_01_1056.html",
+		"doc_type":"cmpntguide",
+		"p_code":"191",
+		"code":"208"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"HBase Performance Tuning",
+		"uri":"mrs_01_1013.html",
+		"doc_type":"cmpntguide",
+		"p_code":"191",
+		"code":"209"
+	},
+	{
+		"desc":"BulkLoad uses MapReduce jobs to directly generate files that comply with the internal data format of HBase, and then loads the generated StoreFiles to a running cluster. ",
+		"product_code":"mrs",
+		"title":"Improving the BulkLoad Efficiency",
+		"uri":"mrs_01_1636.html",
+		"doc_type":"cmpntguide",
+		"p_code":"209",
+		"code":"210"
+	},
+	{
+		"desc":"In the scenario where a large number of requests are continuously put, setting the following two parameters to false can greatly improve the Put performance.hbase.regions",
+		"product_code":"mrs",
+		"title":"Improving Put Performance",
+		"uri":"mrs_01_1637.html",
+		"doc_type":"cmpntguide",
+		"p_code":"209",
+		"code":"211"
+	},
+	{
+		"desc":"HBase has many configuration parameters related to read and write performance. The configuration parameters need to be adjusted based on the read/write request loads. Thi",
+		"product_code":"mrs",
+		"title":"Optimizing Put and Scan Performance",
+		"uri":"mrs_01_1016.html",
+		"doc_type":"cmpntguide",
+		"p_code":"209",
+		"code":"212"
+	},
+	{
+		"desc":"Scenarios where data needs to be written to HBase in real time, or large-scale and consecutive put scenariosThis section applies to MRS 3.x and later versions.The HBase p",
+		"product_code":"mrs",
+		"title":"Improving Real-time Data Write Performance",
+		"uri":"mrs_01_1017.html",
+		"doc_type":"cmpntguide",
+		"p_code":"209",
+		"code":"213"
+	},
+	{
+		"desc":"HBase data needs to be read.The get or scan interface of HBase has been invoked and data is read in real time from HBase.Data reading server tuningParameter portal:Go to ",
+		"product_code":"mrs",
+		"title":"Improving Real-time Data Read Performance",
+		"uri":"mrs_01_1018.html",
+		"doc_type":"cmpntguide",
+		"p_code":"209",
+		"code":"214"
+	},
+	{
+		"desc":"When the number of clusters reaches a certain scale, the default settings of the Java virtual machine (JVM) cannot meet the cluster requirements. In this case, the cluste",
+		"product_code":"mrs",
+		"title":"Optimizing JVM Parameters",
+		"uri":"mrs_01_1019.html",
+		"doc_type":"cmpntguide",
+		"p_code":"209",
+		"code":"215"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Common Issues About HBase",
+		"uri":"mrs_01_1638.html",
+		"doc_type":"cmpntguide",
+		"p_code":"191",
+		"code":"216"
+	},
+	{
+		"desc":"A HBase server is faulty and cannot provide services. In this case, when a table operation is performed on the HBase client, why is the operation suspended and no respons",
+		"product_code":"mrs",
+		"title":"Why Does a Client Keep Failing to Connect to a Server for a Long Time?",
+		"uri":"mrs_01_1639.html",
+		"doc_type":"cmpntguide",
+		"p_code":"216",
+		"code":"217"
+	},
+	{
+		"desc":"Why submitted operations fail by stopping BulkLoad on the client during BulkLoad data importing?When BulkLoad is enabled on the client, a partitioner file is generated an",
+		"product_code":"mrs",
+		"title":"Operation Failures Occur in Stopping BulkLoad On the Client",
+		"uri":"mrs_01_1640.html",
+		"doc_type":"cmpntguide",
+		"p_code":"216",
+		"code":"218"
+	},
+	{
+		"desc":"When HBase consecutively deletes and creates the same table, why may a table creation exception occur?Execution process: Disable Table > Drop Table > Create Table > Disab",
+		"product_code":"mrs",
+		"title":"Why May a Table Creation Exception Occur When HBase Deletes or Creates the Same Table Consecutively?",
+		"uri":"mrs_01_1641.html",
+		"doc_type":"cmpntguide",
+		"p_code":"216",
+		"code":"219"
+	},
+	{
+		"desc":"Why other services become unstable if HBase sets up a large number of connections over the network port?When the OS command lsof or netstat is run, it is found that many ",
+		"product_code":"mrs",
+		"title":"Why Other Services Become Unstable If HBase Sets up A Large Number of Connections over the Network Port?",
+		"uri":"mrs_01_1642.html",
+		"doc_type":"cmpntguide",
+		"p_code":"216",
+		"code":"220"
+	},
+	{
+		"desc":"The HBase bulkLoad task (a single table contains 26 TB data) has 210,000 maps and 10,000 reduce tasks (in MRS 3.x or later), and the task fails.ZooKeeper I/O bottleneck o",
+		"product_code":"mrs",
+		"title":"Why Does the HBase BulkLoad Task (One Table Has 26 TB Data) Consisting of 210,000 Map Tasks and 10,000 Reduce Tasks Fail?",
+		"uri":"mrs_01_1643.html",
+		"doc_type":"cmpntguide",
+		"p_code":"216",
+		"code":"221"
+	},
+	{
+		"desc":"How do I restore a region in the RIT state for a long time?Log in to the HMaster Web UI, choose Procedure & Locks in the navigation tree, and check whether any process ID",
+		"product_code":"mrs",
+		"title":"How Do I Restore a Region in the RIT State for a Long Time?",
+		"uri":"mrs_01_1644.html",
+		"doc_type":"cmpntguide",
+		"p_code":"216",
+		"code":"222"
+	},
+	{
+		"desc":"Why does HMaster exit due to timeout when waiting for the namespace table to go online?During the HMaster active/standby switchover or startup, HMaster performs WAL split",
+		"product_code":"mrs",
+		"title":"Why Does HMaster Exits Due to Timeout When Waiting for the Namespace Table to Go Online?",
+		"uri":"mrs_01_1645.html",
+		"doc_type":"cmpntguide",
+		"p_code":"216",
+		"code":"223"
+	},
+	{
+		"desc":"Why does the following exception occur on the client when I use the HBase client to operate table data?At the same time, the following log is displayed on RegionServer:Th",
+		"product_code":"mrs",
+		"title":"Why Does SocketTimeoutException Occur When a Client Queries HBase?",
+		"uri":"mrs_01_1646.html",
+		"doc_type":"cmpntguide",
+		"p_code":"216",
+		"code":"224"
+	},
+	{
+		"desc":"Why modified and deleted data can still be queried by using the scan command?Because of the scalability of HBase, all values specific to the versions in the queried colum",
+		"product_code":"mrs",
+		"title":"Why Modified and Deleted Data Can Still Be Queried by Using the Scan Command?",
+		"uri":"mrs_01_1647.html",
+		"doc_type":"cmpntguide",
+		"p_code":"216",
+		"code":"225"
+	},
+	{
+		"desc":"Why \"java.lang.UnsatisfiedLinkError: Permission denied\" exception thrown while starting HBase shell?During HBase shell execution JRuby create temporary files under java.i",
+		"product_code":"mrs",
+		"title":"Why \"java.lang.UnsatisfiedLinkError: Permission denied\" exception thrown while starting HBase shell?",
+		"uri":"mrs_01_1648.html",
+		"doc_type":"cmpntguide",
+		"p_code":"216",
+		"code":"226"
+	},
+	{
+		"desc":"When does the RegionServers listed under \"Dead Region Servers\" on HMaster WebUI gets cleared?When an online RegionServer goes down abruptly, it is displayed under \"Dead R",
+		"product_code":"mrs",
+		"title":"When does the RegionServers listed under \"Dead Region Servers\" on HMaster WebUI gets cleared?",
+		"uri":"mrs_01_1649.html",
+		"doc_type":"cmpntguide",
+		"p_code":"216",
+		"code":"227"
+	},
+	{
+		"desc":"If the data to be imported by HBase bulkload has identical rowkeys, the data import is successful but identical query criteria produce different query results.Data with a",
+		"product_code":"mrs",
+		"title":"Why Are Different Query Results Returned After I Use Same Query Criteria to Query Data Successfully Imported by HBase bulkload?",
+		"uri":"mrs_01_1650.html",
+		"doc_type":"cmpntguide",
+		"p_code":"216",
+		"code":"228"
+	},
+	{
+		"desc":"What should I do if I fail to create tables due to the FAILED_OPEN state of Regions?If a network, HDFS, or Active HMaster fault occurs during the creation of tables, some",
+		"product_code":"mrs",
+		"title":"What Should I Do If I Fail to Create Tables Due to the FAILED_OPEN State of Regions?",
+		"uri":"mrs_01_1651.html",
+		"doc_type":"cmpntguide",
+		"p_code":"216",
+		"code":"229"
+	},
+	{
+		"desc":"In security mode, names of tables that failed to be created are unnecessarily retained in the table-lock node (default directory is /hbase/table-lock) of ZooKeeper. How d",
+		"product_code":"mrs",
+		"title":"How Do I Delete Residual Table Names in the /hbase/table-lock Directory of ZooKeeper?",
+		"uri":"mrs_01_1652.html",
+		"doc_type":"cmpntguide",
+		"p_code":"216",
+		"code":"230"
+	},
+	{
+		"desc":"Why does HBase become faulty when I set quota for the directory used by HBase in HDFS?The flush operation of a table is to write memstore data to HDFS.If the HDFS directo",
+		"product_code":"mrs",
+		"title":"Why Does HBase Become Faulty When I Set a Quota for the Directory Used by HBase in HDFS?",
+		"uri":"mrs_01_1653.html",
+		"doc_type":"cmpntguide",
+		"p_code":"216",
+		"code":"231"
+	},
+	{
+		"desc":"Why HMaster times out while waiting for namespace table to be assigned after rebuilding meta using OfflineMetaRepair tool and startups failed?HMaster abort with following",
+		"product_code":"mrs",
+		"title":"Why HMaster Times Out While Waiting for Namespace Table to be Assigned After Rebuilding Meta Using OfflineMetaRepair Tool and Startups Failed",
+		"uri":"mrs_01_1654.html",
+		"doc_type":"cmpntguide",
+		"p_code":"216",
+		"code":"232"
+	},
+	{
+		"desc":"Why messages containing FileNotFoundException and no lease are frequently displayed in the HMaster logs during the WAL splitting process?During the WAL splitting process,",
+		"product_code":"mrs",
+		"title":"Why Messages Containing FileNotFoundException and no lease Are Frequently Displayed in the HMaster Logs During the WAL Splitting Process?",
+		"uri":"mrs_01_1655.html",
+		"doc_type":"cmpntguide",
+		"p_code":"216",
+		"code":"233"
+	},
+	{
+		"desc":"When a tenant accesses Phoenix, a message is displayed indicating that the tenant has insufficient rights.You need to associate the HBase service and Yarn queues when cre",
+		"product_code":"mrs",
+		"title":"Insufficient Rights When a Tenant Accesses Phoenix",
+		"uri":"mrs_01_1657.html",
+		"doc_type":"cmpntguide",
+		"p_code":"216",
+		"code":"234"
+	},
+	{
+		"desc":"The system automatically rolls back data after an HBase recovery task fails. If \"Rollback recovery failed\" is displayed, the rollback fails. After the rollback fails, dat",
+		"product_code":"mrs",
+		"title":"What Can I Do When HBase Fails to Recover a Task and a Message Is Displayed Stating \"Rollback recovery failed\"?",
+		"uri":"mrs_01_1659.html",
+		"doc_type":"cmpntguide",
+		"p_code":"216",
+		"code":"235"
+	},
+	{
+		"desc":"When the HBaseFsck tool is used to check the region status in MRS 3.x and later versions, if the log contains ERROR: (regions region1 and region2) There is an overlap in ",
+		"product_code":"mrs",
+		"title":"How Do I Fix Region Overlapping?",
+		"uri":"mrs_01_1660.html",
+		"doc_type":"cmpntguide",
+		"p_code":"216",
+		"code":"236"
+	},
+	{
+		"desc":"(MRS 3.x and later versions) Check the hbase-omm-*.out log of the node where RegionServer fails to be started. It is found that the log contains An error report file with",
+		"product_code":"mrs",
+		"title":"Why Does RegionServer Fail to Be Started When GC Parameters Xms and Xmx of HBase RegionServer Are Set to 31 GB?",
+		"uri":"mrs_01_1661.html",
+		"doc_type":"cmpntguide",
+		"p_code":"216",
+		"code":"237"
+	},
+	{
+		"desc":"Why does the LoadIncrementalHFiles tool fail to be executed and \"Permission denied\" is displayed when a Linux user is manually created in a normal cluster and DataNode in",
+		"product_code":"mrs",
+		"title":"Why Does the LoadIncrementalHFiles Tool Fail to Be Executed and \"Permission denied\" Is Displayed When Nodes in a Cluster Are Used to Import Data in Batches?",
+		"uri":"mrs_01_0625.html",
+		"doc_type":"cmpntguide",
+		"p_code":"216",
+		"code":"238"
+	},
+	{
+		"desc":"When the sqlline script is used on the client, the error message \"import argparse\" is displayed.",
+		"product_code":"mrs",
+		"title":"Why Is the Error Message \"import argparse\" Displayed When the Phoenix sqlline Script Is Used?",
+		"uri":"mrs_01_2210.html",
+		"doc_type":"cmpntguide",
+		"p_code":"216",
+		"code":"239"
+	},
+	{
+		"desc":"When the indexed field data is updated, if a batch of data exists in the user table, the BulkLoad tool cannot update the global and partial mutable indexes.Problem Analys",
+		"product_code":"mrs",
+		"title":"How Do I Deal with the Restrictions of the Phoenix BulkLoad Tool?",
+		"uri":"mrs_01_2211.html",
+		"doc_type":"cmpntguide",
+		"p_code":"216",
+		"code":"240"
+	},
+	{
+		"desc":"When CTBase accesses the HBase service with the Ranger plug-ins enabled and you are creating a cluster table, a message is displayed indicating that the permission is ins",
+		"product_code":"mrs",
+		"title":"Why a Message Is Displayed Indicating that the Permission is Insufficient When CTBase Connects to the Ranger Plug-ins?",
+		"uri":"mrs_01_2212.html",
+		"doc_type":"cmpntguide",
+		"p_code":"216",
+		"code":"241"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using HDFS",
+		"uri":"mrs_01_0790.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"242"
+	},
+	{
+		"desc":"In HDFS, each file object needs to register corresponding information in the NameNode and occupies certain storage space. As the number of files increases, if the origina",
+		"product_code":"mrs",
+		"title":"Configuring Memory Management",
+		"uri":"mrs_01_0791.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"243"
+	},
+	{
+		"desc":"This section describes how to create and configure an HDFS role on FusionInsight Manager. The HDFS role is granted the rights to read, write, and execute HDFS directories",
+		"product_code":"mrs",
+		"title":"Creating an HDFS Role",
+		"uri":"mrs_01_1662.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"244"
+	},
+	{
+		"desc":"This section describes how to use the HDFS client in an O&M scenario or service scenario.The client has been installed.For example, the installation directory is /opt/had",
+		"product_code":"mrs",
+		"title":"Using the HDFS Client",
+		"uri":"mrs_01_1663.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"245"
+	},
+	{
+		"desc":"DistCp is a tool used to perform large-amount data replication between clusters or in a cluster. It uses MapReduce tasks to implement distributed copy of a large amount o",
+		"product_code":"mrs",
+		"title":"Running the DistCp Command",
+		"uri":"mrs_01_0794.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"246"
+	},
+	{
+		"desc":"This section describes the directory structure in HDFS, as shown in the following table.",
+		"product_code":"mrs",
+		"title":"Overview of HDFS File System Directories",
+		"uri":"mrs_01_0795.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"247"
+	},
+	{
+		"desc":"This section applies to MRS 3.x or later clusters.If the storage directory defined by the HDFS DataNode is incorrect or the HDFS storage plan changes, the system administ",
+		"product_code":"mrs",
+		"title":"Changing the DataNode Storage Directory",
+		"uri":"mrs_01_1664.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"248"
+	},
+	{
+		"desc":"The permission for some HDFS directories is 777 or 750 by default, which brings potential security risks. You are advised to modify the permission for the HDFS directorie",
+		"product_code":"mrs",
+		"title":"Configuring HDFS Directory Permission",
+		"uri":"mrs_01_0797.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"249"
+	},
+	{
+		"desc":"This section applies to MRS 3.x or later.Before deploying a cluster, you can deploy a Network File System (NFS) server based on requirements to store NameNode metadata to",
+		"product_code":"mrs",
+		"title":"Configuring NFS",
+		"uri":"mrs_01_1665.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"250"
+	},
+	{
+		"desc":"In HDFS, DataNode stores user files and directories as blocks, and file objects are generated on the NameNode to map each file, directory, and block on the DataNode.The f",
+		"product_code":"mrs",
+		"title":"Planning HDFS Capacity",
+		"uri":"mrs_01_0799.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"251"
+	},
+	{
+		"desc":"When you open an HDFS file, an error occurs due to the limit on the number of file handles. Information similar to the following is displayed.You can contact the systemad",
+		"product_code":"mrs",
+		"title":"Configuring ulimit for HBase and HDFS",
+		"uri":"mrs_01_0801.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"252"
+	},
+	{
+		"desc":"This section applies to MRS 3.x or later clusters.In the HDFS cluster, unbalanced disk usage among DataNodes may occur, for example, when new DataNodes are added to the c",
+		"product_code":"mrs",
+		"title":"Balancing DataNode Capacity",
+		"uri":"mrs_01_1667.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"253"
+	},
+	{
+		"desc":"By default, NameNode randomly selects a DataNode to write files. If the disk capacity of some DataNodes in a cluster is inconsistent (the total disk capacity of some node",
+		"product_code":"mrs",
+		"title":"Configuring Replica Replacement Policy for Heterogeneous Capacity Among DataNodes",
+		"uri":"mrs_01_0804.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"254"
+	},
+	{
+		"desc":"Generally, multiple services are deployed in a cluster, and the storage of most services depends on the HDFS file system. Different components such as Spark and Yarn or c",
+		"product_code":"mrs",
+		"title":"Configuring the Number of Files in a Single HDFS Directory",
+		"uri":"mrs_01_0805.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"255"
+	},
+	{
+		"desc":"On HDFS, deleted files are moved to the recycle bin (trash can) so that the data deleted by mistake can be restored.You can set the time threshold for storing files in th",
+		"product_code":"mrs",
+		"title":"Configuring the Recycle Bin Mechanism",
+		"uri":"mrs_01_0806.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"256"
+	},
+	{
+		"desc":"HDFS allows users to modify the default permissions of files and directories. The default mask provided by the HDFS for creating file and directory permissions is 022. If",
+		"product_code":"mrs",
+		"title":"Setting Permissions on Files and Directories",
+		"uri":"mrs_01_0807.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"257"
+	},
+	{
+		"desc":"In security mode, users can flexibly set the maximum token lifetime and token renewal interval in HDFS based on cluster requirements.Navigation path for setting parameter",
+		"product_code":"mrs",
+		"title":"Setting the Maximum Lifetime and Renewal Interval of a Token",
+		"uri":"mrs_01_0808.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"258"
+	},
+	{
+		"desc":"In the open source version, if multiple data storage volumes are configured for a DataNode, the DataNode stops providing services by default if one of the volumes is dama",
+		"product_code":"mrs",
+		"title":"Configuring the Damaged Disk Volume",
+		"uri":"mrs_01_1669.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"259"
+	},
+	{
+		"desc":"Encrypted channel is an encryption protocol of remote procedure call (RPC) in HDFS. When a user invokes RPC, the user's login name will be transmitted to RPC through RPC ",
+		"product_code":"mrs",
+		"title":"Configuring Encrypted Channels",
+		"uri":"mrs_01_0810.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"260"
+	},
+	{
+		"desc":"Clients probably encounter running errors when the network is not stable. Users can adjust the following parameter values to improve the running efficiency.Go to the All ",
+		"product_code":"mrs",
+		"title":"Reducing the Probability of Abnormal Client Application Operation When the Network Is Not Stable",
+		"uri":"mrs_01_0811.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"261"
+	},
+	{
+		"desc":"This section applies to MRS 3.x or later.In the existing default DFSclient failover proxy provider, if a NameNode in a process is faulty, all HDFS client instances in the",
+		"product_code":"mrs",
+		"title":"Configuring the NameNode Blacklist",
+		"uri":"mrs_01_1670.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"262"
+	},
+	{
+		"desc":"This section applies to MRS 3.x or later.Several finished Hadoop clusters are faulty because the NameNode is overloaded and unresponsive.Such problem is caused by the ini",
+		"product_code":"mrs",
+		"title":"Optimizing HDFS NameNode RPC QoS",
+		"uri":"mrs_01_1672.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"263"
+	},
+	{
+		"desc":"When the speed at which the client writes data to the HDFS is greater than the disk bandwidth of the DataNode, the disk bandwidth is fully occupied. As a result, the Data",
+		"product_code":"mrs",
+		"title":"Optimizing HDFS DataNode RPC QoS",
+		"uri":"mrs_01_1673.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"264"
+	},
+	{
+		"desc":"When the Yarn local directory and DataNode directory are on the same disk, the disk with larger capacity can run more tasks. Therefore, more intermediate data is stored i",
+		"product_code":"mrs",
+		"title":"Configuring Reserved Percentage of Disk Usage on DataNodes",
+		"uri":"mrs_01_1675.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"265"
+	},
+	{
+		"desc":"You need to configure the nodes for storing HDFS file data blocks based on data features. You can configure a label expression to an HDFS directory or file and assign one",
+		"product_code":"mrs",
+		"title":"Configuring HDFS NodeLabel",
+		"uri":"mrs_01_1676.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"266"
+	},
+	{
+		"desc":"AZ Mover is a copy migration tool used to move copies to meet the new AZ policies set on the directory. It can be used to migrate copies from one AZ policy to another. AZ",
+		"product_code":"mrs",
+		"title":"Using HDFS AZ Mover",
+		"uri":"mrs_01_2360.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"267"
+	},
+	{
+		"desc":"In an HDFS cluster configured with HA, the active NameNode processes all client requests, and the standby NameNode reserves the latest metadata and block location informa",
+		"product_code":"mrs",
+		"title":"Configuring the Observer NameNode to Process Read Requests",
+		"uri":"mrs_01_1681.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"268"
+	},
+	{
+		"desc":"Performing this operation can concurrently modify file and directory permissions and access control tools in a cluster.This section applies to MRS 3.x or later clusters.P",
+		"product_code":"mrs",
+		"title":"Performing Concurrent Operations on HDFS Files",
+		"uri":"mrs_01_1684.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"269"
+	},
+	{
+		"desc":"Log path: The default path of HDFS logs is /var/log/Bigdata/hdfs/Role name.NameNode: /var/log/Bigdata/hdfs/nn (run logs) and /var/log/Bigdata/audit/hdfs/nn (audit logs)Da",
+		"product_code":"mrs",
+		"title":"Introduction to HDFS Logs",
+		"uri":"mrs_01_0828.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"270"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"HDFS Performance Tuning",
+		"uri":"mrs_01_0829.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"271"
+	},
+	{
+		"desc":"Improve the HDFS write performance by modifying the HDFS attributes.This section applies to MRS 3.x or later.Navigation path for setting parameters:On FusionInsight Manag",
+		"product_code":"mrs",
+		"title":"Improving Write Performance",
+		"uri":"mrs_01_1687.html",
+		"doc_type":"cmpntguide",
+		"p_code":"271",
+		"code":"272"
+	},
+	{
+		"desc":"Improve the HDFS read performance by using the client to cache the metadata for block locations.This function is recommended only for reading files that are not modified ",
+		"product_code":"mrs",
+		"title":"Improving Read Performance Using Client Metadata Cache",
+		"uri":"mrs_01_1688.html",
+		"doc_type":"cmpntguide",
+		"p_code":"271",
+		"code":"273"
+	},
+	{
+		"desc":"When HDFS is deployed in high availability (HA) mode with multiple NameNode instances, the HDFS client needs to connect to each NameNode in sequence to determine which is",
+		"product_code":"mrs",
+		"title":"Improving the Connection Between the Client and NameNode Using Current Active Cache",
+		"uri":"mrs_01_1689.html",
+		"doc_type":"cmpntguide",
+		"p_code":"271",
+		"code":"274"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"FAQ",
+		"uri":"mrs_01_1690.html",
+		"doc_type":"cmpntguide",
+		"p_code":"242",
+		"code":"275"
+	},
+	{
+		"desc":"The NameNode startup is slow when it is restarted immediately after a large number of files (for example, 1 million files) are deleted.It takes time for the DataNode to d",
+		"product_code":"mrs",
+		"title":"NameNode Startup Is Slow",
+		"uri":"mrs_01_1691.html",
+		"doc_type":"cmpntguide",
+		"p_code":"275",
+		"code":"276"
+	},
+	{
+		"desc":"The DataNode is normal, but cannot report data blocks. As a result, the existing data blocks cannot be used.This error may occur when the number of data blocks in a data ",
+		"product_code":"mrs",
+		"title":"DataNode Is Normal but Cannot Report Data Blocks",
+		"uri":"mrs_01_1693.html",
+		"doc_type":"cmpntguide",
+		"p_code":"275",
+		"code":"277"
+	},
+	{
+		"desc":"When errors occur in the dfs.datanode.data.dir directory of DataNode due to the permission or disk damage, HDFS WebUI does not display information about damaged data.Afte",
+		"product_code":"mrs",
+		"title":"HDFS WebUI Cannot Properly Update Information About Damaged Data",
+		"uri":"mrs_01_1694.html",
+		"doc_type":"cmpntguide",
+		"p_code":"275",
+		"code":"278"
+	},
+	{
+		"desc":"Why distcp command fails in the secure cluster with the following error displayed?Client side exceptionServer side exceptionThe preceding error may occur if webhdfs:// is",
+		"product_code":"mrs",
+		"title":"Why Does the Distcp Command Fail in the Secure Cluster, Causing an Exception?",
+		"uri":"mrs_01_1695.html",
+		"doc_type":"cmpntguide",
+		"p_code":"275",
+		"code":"279"
+	},
+	{
+		"desc":"If the number of disks specified by dfs.datanode.data.dir is equal to the value of dfs.datanode.failed.volumes.tolerated, DataNode startup will fail.By default, the failu",
+		"product_code":"mrs",
+		"title":"Why Does DataNode Fail to Start When the Number of Disks Specified by dfs.datanode.data.dir Equals dfs.datanode.failed.volumes.tolerated?",
+		"uri":"mrs_01_1696.html",
+		"doc_type":"cmpntguide",
+		"p_code":"275",
+		"code":"280"
+	},
+	{
+		"desc":"The capacity of a DataNode fails to calculate when multiple data.dir directories are configured in a disk partition.Currently, the capacity is calculated based on disks, ",
+		"product_code":"mrs",
+		"title":"Failed to Calculate the Capacity of a DataNode when Multiple data.dir Directories Are Configured in a Disk Partition",
+		"uri":"mrs_01_1697.html",
+		"doc_type":"cmpntguide",
+		"p_code":"275",
+		"code":"281"
+	},
+	{
+		"desc":"When the standby NameNode is powered off during metadata (namespace) storage, it fails to be started and the following error information is displayed.When the standby Nam",
+		"product_code":"mrs",
+		"title":"Standby NameNode Fails to Be Restarted When the System Is Powered off During Metadata (Namespace) Storage",
+		"uri":"mrs_01_1698.html",
+		"doc_type":"cmpntguide",
+		"p_code":"275",
+		"code":"282"
+	},
+	{
+		"desc":"Why data in the buffer is lost if a power outage occurs during storage of small files?Because of a power outage, the blocks in the buffer are not written to the disk imme",
+		"product_code":"mrs",
+		"title":"Why Data in the Buffer Is Lost If a Power Outage Occurs During Storage of Small Files",
+		"uri":"mrs_01_1699.html",
+		"doc_type":"cmpntguide",
+		"p_code":"275",
+		"code":"283"
+	},
+	{
+		"desc":"When HDFS calls the FileInputFormat getSplit method, the ArrayIndexOutOfBoundsException: 0 appears in the following log:The elements of each block correspondent frame are",
+		"product_code":"mrs",
+		"title":"Why Does Array Border-crossing Occur During FileInputFormat Split?",
+		"uri":"mrs_01_1700.html",
+		"doc_type":"cmpntguide",
+		"p_code":"275",
+		"code":"284"
+	},
+	{
+		"desc":"When the storage policy of the file is set to LAZY_PERSIST, the storage type of the first replica should be RAM_DISK, and the storage type of other replicas should be DIS",
+		"product_code":"mrs",
+		"title":"Why Is the Storage Type of File Copies DISK When the Tiered Storage Policy Is LAZY_PERSIST?",
+		"uri":"mrs_01_1701.html",
+		"doc_type":"cmpntguide",
+		"p_code":"275",
+		"code":"285"
+	},
+	{
+		"desc":"When the NameNode node is overloaded (100% of the CPU is occupied), the NameNode is unresponsive. The HDFS clients that are connected to the overloaded NameNode fail to r",
+		"product_code":"mrs",
+		"title":"The HDFS Client Is Unresponsive When the NameNode Is Overloaded for a Long Time",
+		"uri":"mrs_01_1702.html",
+		"doc_type":"cmpntguide",
+		"p_code":"275",
+		"code":"286"
+	},
+	{
+		"desc":"In DataNode, the storage directory of data blocks is specified by dfs.datanode.data.dir.Can I modify dfs.datanode.data.dir tomodify the data storage directory?Can I modif",
+		"product_code":"mrs",
+		"title":"Can I Delete or Modify the Data Storage Directory in DataNode?",
+		"uri":"mrs_01_1703.html",
+		"doc_type":"cmpntguide",
+		"p_code":"275",
+		"code":"287"
+	},
+	{
+		"desc":"Why are some blocks missing on the NameNode UI after the rollback is successful?This problem occurs because blocks with new IDs or genstamps may exist on the DataNode. Th",
+		"product_code":"mrs",
+		"title":"Blocks Miss on the NameNode UI After the Successful Rollback",
+		"uri":"mrs_01_1704.html",
+		"doc_type":"cmpntguide",
+		"p_code":"275",
+		"code":"288"
+	},
+	{
+		"desc":"Why is an \"java.net.SocketException: No buffer space available\" exception reported when data is written to HDFS?This problem occurs when files are written to the HDFS. Ch",
+		"product_code":"mrs",
+		"title":"Why Is \"java.net.SocketException: No buffer space available\" Reported When Data Is Written to HDFS",
+		"uri":"mrs_01_1705.html",
+		"doc_type":"cmpntguide",
+		"p_code":"275",
+		"code":"289"
+	},
+	{
+		"desc":"Why are there two standby NameNodes after the active NameNode is restarted?When this problem occurs, check the ZooKeeper and ZooKeeper FC logs. You can find that the sess",
+		"product_code":"mrs",
+		"title":"Why are There Two Standby NameNodes After the active NameNode Is Restarted?",
+		"uri":"mrs_01_1706.html",
+		"doc_type":"cmpntguide",
+		"p_code":"275",
+		"code":"290"
+	},
+	{
+		"desc":"After I start a Balance process in HDFS, the process is shut down abnormally. If I attempt to execute the Balance process again, it fails again.After a Balance process is",
+		"product_code":"mrs",
+		"title":"When Does a Balance Process in HDFS, Shut Down and Fail to be Executed Again?",
+		"uri":"mrs_01_1707.html",
+		"doc_type":"cmpntguide",
+		"p_code":"275",
+		"code":"291"
+	},
+	{
+		"desc":"Occasionally, nternet Explorer 9, Explorer 10, or Explorer 11 fails to access the native HDFS UI.Internet Explorer 9, Explorer 10, or Explorer 11 fails to access the nati",
+		"product_code":"mrs",
+		"title":"\"This page can't be displayed\" Is Displayed When Internet Explorer Fails to Access the Native HDFS UI",
+		"uri":"mrs_01_1708.html",
+		"doc_type":"cmpntguide",
+		"p_code":"275",
+		"code":"292"
+	},
+	{
+		"desc":"If a JournalNode server is powered off, the data directory disk is fully occupied, and the network is abnormal, the EditLog sequence number on the JournalNode is inconsec",
+		"product_code":"mrs",
+		"title":"NameNode Fails to Be Restarted Due to EditLog Discontinuity",
+		"uri":"mrs_01_1709.html",
+		"doc_type":"cmpntguide",
+		"p_code":"275",
+		"code":"293"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using Hive",
+		"uri":"mrs_01_0581.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"294"
+	},
+	{
+		"desc":"Hive is a data warehouse framework built on Hadoop. It maps structured data files to a database table and provides SQL-like functions to analyze and process data. It also",
+		"product_code":"mrs",
+		"title":"Using Hive from Scratch",
+		"uri":"mrs_01_0442.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"295"
+	},
+	{
+		"desc":"Go to the Hive configurations page by referring to Modifying Cluster Service Configuration Parameters.",
+		"product_code":"mrs",
+		"title":"Configuring Hive Parameters",
+		"uri":"mrs_01_0582.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"296"
+	},
+	{
+		"desc":"Hive SQL supports all features of Hive-3.1.0. For details, see https://cwiki.apache.org/confluence/display/hive/languagemanual.Table 1 describes the extended Hive stateme",
+		"product_code":"mrs",
+		"title":"Hive SQL",
+		"uri":"mrs_01_2330.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"297"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Permission Management",
+		"uri":"mrs_01_0947.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"298"
+	},
+	{
+		"desc":"Hive is a data warehouse framework built on Hadoop. It provides basic data analysis services using the Hive query language (HQL), a language like the structured query lan",
+		"product_code":"mrs",
+		"title":"Hive Permission",
+		"uri":"mrs_01_0948.html",
+		"doc_type":"cmpntguide",
+		"p_code":"298",
+		"code":"299"
+	},
+	{
+		"desc":"This section describes how to create and configure a Hive role on Manager as the system administrator. The Hive role can be granted the permissions of the Hive administra",
+		"product_code":"mrs",
+		"title":"Creating a Hive Role",
+		"uri":"mrs_01_0949.html",
+		"doc_type":"cmpntguide",
+		"p_code":"298",
+		"code":"300"
+	},
+	{
+		"desc":"You can configure related permissions if you need to access tables or databases created by other users. Hive supports column-based permission control. If a user needs to ",
+		"product_code":"mrs",
+		"title":"Configuring Permissions for Hive Tables, Columns, or Databases",
+		"uri":"mrs_01_0950.html",
+		"doc_type":"cmpntguide",
+		"p_code":"298",
+		"code":"301"
+	},
+	{
+		"desc":"Hive may need to be associated with other components. For example, Yarn permissions are required in the scenario of using HQL statements to trigger MapReduce jobs, and HB",
+		"product_code":"mrs",
+		"title":"Configuring Permissions to Use Other Components for Hive",
+		"uri":"mrs_01_0951.html",
+		"doc_type":"cmpntguide",
+		"p_code":"298",
+		"code":"302"
+	},
+	{
+		"desc":"This section guides users to use a Hive client in an O&M or service scenario.The client has been installed. For example, the client is installed in the /opt/hadoopclient ",
+		"product_code":"mrs",
+		"title":"Using a Hive Client",
+		"uri":"mrs_01_0952.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"303"
+	},
+	{
+		"desc":"HDFS Colocation is the data location control function provided by HDFS. The HDFS Colocation API stores associated data or data on which associated operations are performe",
+		"product_code":"mrs",
+		"title":"Using HDFS Colocation to Store Hive Tables",
+		"uri":"mrs_01_0953.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"304"
+	},
+	{
+		"desc":"Hive supports encryption of one or multiple columns in a table. When creating a Hive table, you can specify the column to be encrypted and encryption algorithm. When data",
+		"product_code":"mrs",
+		"title":"Using the Hive Column Encryption Function",
+		"uri":"mrs_01_0954.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"305"
+	},
+	{
+		"desc":"In most cases, a carriage return character is used as the row delimiter in Hive tables stored in text files, that is, the carriage return character is used as the termina",
+		"product_code":"mrs",
+		"title":"Customizing Row Separators",
+		"uri":"mrs_01_0955.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"306"
+	},
+	{
+		"desc":"For mutually trusted Hive and HBase clusters with Kerberos authentication enabled, you can access the HBase cluster and synchronize its key configurations to HiveServer o",
+		"product_code":"mrs",
+		"title":"Configuring Hive on HBase in Across Clusters with Mutual Trust Enabled",
+		"uri":"mrs_01_24293.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"307"
+	},
+	{
+		"desc":"Due to the limitations of underlying storage systems, Hive does not support the ability to delete a single piece of table data. In Hive on HBase, MRS Hive supports the ab",
+		"product_code":"mrs",
+		"title":"Deleting Single-Row Records from Hive on HBase",
+		"uri":"mrs_01_0956.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"308"
+	},
+	{
+		"desc":"WebHCat provides external REST APIs for Hive. By default, the open-source community version uses the HTTP protocol.MRS Hive supports the HTTPS protocol that is more secur",
+		"product_code":"mrs",
+		"title":"Configuring HTTPS/HTTP-based REST APIs",
+		"uri":"mrs_01_0957.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"309"
+	},
+	{
+		"desc":"The Transform function is not allowed by Hive of the open source version.MRS Hive supports the configuration of the Transform function. The function is disabled by defaul",
+		"product_code":"mrs",
+		"title":"Enabling or Disabling the Transform Function",
+		"uri":"mrs_01_0958.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"310"
+	},
+	{
+		"desc":"This section describes how to create a view on Hive when MRS is configured in security mode, authorize access permissions to different users, and specify that different u",
+		"product_code":"mrs",
+		"title":"Access Control of a Dynamic Table View on Hive",
+		"uri":"mrs_01_0959.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"311"
+	},
+	{
+		"desc":"You must have ADMIN permission when creating temporary functions on Hive of the open source community version.MRS Hive supports the configuration of the function for crea",
+		"product_code":"mrs",
+		"title":"Specifying Whether the ADMIN Permissions Is Required for Creating Temporary Functions",
+		"uri":"mrs_01_0960.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"312"
+	},
+	{
+		"desc":"Hive allows users to create external tables to associate with other relational databases. External tables read data from associated relational databases and support Join ",
+		"product_code":"mrs",
+		"title":"Using Hive to Read Data in a Relational Database",
+		"uri":"mrs_01_0961.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"313"
+	},
+	{
+		"desc":"Hive supports the following types of traditional relational database syntax:GroupingEXCEPT and INTERSECTSyntax description:Grouping takes effect only when the Group by st",
+		"product_code":"mrs",
+		"title":"Supporting Traditional Relational Database Syntax in Hive",
+		"uri":"mrs_01_0962.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"314"
+	},
+	{
+		"desc":"This function is applicable to Hive and Spark2x in MRS 3.x and later.With this function enabled, if the select permission is granted to a user during Hive table creation,",
+		"product_code":"mrs",
+		"title":"Viewing Table Structures Using the show create Statement as Users with the select Permission",
+		"uri":"mrs_01_0966.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"315"
+	},
+	{
+		"desc":"This function applies to Hive.After this function is enabled, run the following command to write a directory into Hive: insert overwrite directory \"/path1\".... After the ",
+		"product_code":"mrs",
+		"title":"Writing a Directory into Hive with the Old Data Removed to the Recycle Bin",
+		"uri":"mrs_01_0967.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"316"
+	},
+	{
+		"desc":"This function applies to Hive.With this function enabled, run the insert overwrite directory/path1/path2/path3... command to write a subdirectory. The permission of the /",
+		"product_code":"mrs",
+		"title":"Inserting Data to a Directory That Does Not Exist",
+		"uri":"mrs_01_0968.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"317"
+	},
+	{
+		"desc":"This function is applicable to Hive and Spark2x for MRS 3.x or later, or Hive and Spark for versions earlier than MRS 3.x.After this function is enabled, only the Hive ad",
+		"product_code":"mrs",
+		"title":"Creating Databases and Creating Tables in the Default Database Only as the Hive Administrator",
+		"uri":"mrs_01_0969.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"318"
+	},
+	{
+		"desc":"This function is applicable to Hive and Spark2x for MRS 3.x or later, or Hive and Spark for versions earlier than MRS 3.x.After this function is enabled, the location key",
+		"product_code":"mrs",
+		"title":"Disabling of Specifying the location Keyword When Creating an Internal Hive Table",
+		"uri":"mrs_01_0970.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"319"
+	},
+	{
+		"desc":"This function is applicable to Hive and Spark2x for MRS 3.x or later, or Hive and Spark for versions earlier than MRS 3.x.After this function is enabled, the user or user",
+		"product_code":"mrs",
+		"title":"Enabling the Function of Creating a Foreign Table in a Directory That Can Only Be Read",
+		"uri":"mrs_01_0971.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"320"
+	},
+	{
+		"desc":"This function applies to Hive.The number of OS user groups is limited, and the number of roles that can be created in Hive cannot exceed 32. After this function is enable",
+		"product_code":"mrs",
+		"title":"Authorizing Over 32 Roles in Hive",
+		"uri":"mrs_01_0972.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"321"
+	},
+	{
+		"desc":"This function applies to Hive.This function is used to limit the maximum number of maps for Hive tasks on the server to avoid performance deterioration caused by overload",
+		"product_code":"mrs",
+		"title":"Restricting the Maximum Number of Maps for Hive Tasks",
+		"uri":"mrs_01_0973.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"322"
+	},
+	{
+		"desc":"This function applies to Hive.This function can be enabled to specify specific users to access HiveServer services on specific nodes, achieving HiveServer resource isolat",
+		"product_code":"mrs",
+		"title":"HiveServer Lease Isolation",
+		"uri":"mrs_01_0974.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"323"
+	},
+	{
+		"desc":"Hive supports transactions at the table and partition levels. When the transaction mode is enabled, transaction tables can be incrementally updated, deleted, and read, im",
+		"product_code":"mrs",
+		"title":"Hive Supporting Transactions",
+		"uri":"mrs_01_0975.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"324"
+	},
+	{
+		"desc":"Hive can use the Tez engine to process data computing tasks. Before executing a task, you can manually switch the execution engine to Tez.The TimelineServer role of the Y",
+		"product_code":"mrs",
+		"title":"Switching the Hive Execution Engine to Tez",
+		"uri":"mrs_01_1750.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"325"
+	},
+	{
+		"desc":"A Hive materialized view is a special table obtained based on the query results of Hive internal tables. A materialized view can be considered as an intermediate table th",
+		"product_code":"mrs",
+		"title":"Hive Materialized View",
+		"uri":"mrs_01_2311.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"326"
+	},
+	{
+		"desc":"Log path: The default save path of Hive logs is /var/log/Bigdata/hive/role name, the default save path of Hive1 logs is /var/log/Bigdata/hive1/role name, and the others f",
+		"product_code":"mrs",
+		"title":"Hive Log Overview",
+		"uri":"mrs_01_0976.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"327"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Hive Performance Tuning",
+		"uri":"mrs_01_0977.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"328"
+	},
+	{
+		"desc":"During the Select query, Hive generally scans the entire table, which is time-consuming. To improve query efficiency, create table partitions based on service requirement",
+		"product_code":"mrs",
+		"title":"Creating Table Partitions",
+		"uri":"mrs_01_0978.html",
+		"doc_type":"cmpntguide",
+		"p_code":"328",
+		"code":"329"
+	},
+	{
+		"desc":"When the Join statement is used, the command execution speed and query speed may be slow in case of large data volume. To resolve this problem, you can optimize Join.Join",
+		"product_code":"mrs",
+		"title":"Optimizing Join",
+		"uri":"mrs_01_0979.html",
+		"doc_type":"cmpntguide",
+		"p_code":"328",
+		"code":"330"
+	},
+	{
+		"desc":"Optimize the Group by statement to accelerate the command execution and query speed.During the Group by operation, Map performs grouping and distributes the groups to Red",
+		"product_code":"mrs",
+		"title":"Optimizing Group By",
+		"uri":"mrs_01_0980.html",
+		"doc_type":"cmpntguide",
+		"p_code":"328",
+		"code":"331"
+	},
+	{
+		"desc":"ORC is an efficient column storage format and has higher compression ratio and reading efficiency than other file formats.You are advised to use ORC as the default Hive t",
+		"product_code":"mrs",
+		"title":"Optimizing Data Storage",
+		"uri":"mrs_01_0981.html",
+		"doc_type":"cmpntguide",
+		"p_code":"328",
+		"code":"332"
+	},
+	{
+		"desc":"When SQL statements are executed on Hive, if the (a&b) or (a&c) logic exists in the statements, you are advised to change the logic to a & (b or c).If condition a is p_pa",
+		"product_code":"mrs",
+		"title":"Optimizing SQL Statements",
+		"uri":"mrs_01_0982.html",
+		"doc_type":"cmpntguide",
+		"p_code":"328",
+		"code":"333"
+	},
+	{
+		"desc":"When joining multiple tables in Hive, Hive supports Cost-Based Optimization (CBO). The system automatically selects the optimal plan based on the table statistics, such a",
+		"product_code":"mrs",
+		"title":"Optimizing the Query Function Using Hive CBO",
+		"uri":"mrs_01_0983.html",
+		"doc_type":"cmpntguide",
+		"p_code":"328",
+		"code":"334"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Common Issues About Hive",
+		"uri":"mrs_01_1752.html",
+		"doc_type":"cmpntguide",
+		"p_code":"294",
+		"code":"335"
+	},
+	{
+		"desc":"How can I delete permanent user-defined functions (UDFs) on multiple HiveServers at the same time?Multiple HiveServers share one MetaStore database. Therefore, there is a",
+		"product_code":"mrs",
+		"title":"How Do I Delete UDFs on Multiple HiveServers at the Same Time?",
+		"uri":"mrs_01_1753.html",
+		"doc_type":"cmpntguide",
+		"p_code":"335",
+		"code":"336"
+	},
+	{
+		"desc":"Why cannot the DROP operation be performed for a backed up Hive table?Snapshots have been created for an HDFS directory mapping to the backed up Hive table, so the HDFS d",
+		"product_code":"mrs",
+		"title":"Why Cannot the DROP operation Be Performed on a Backed-up Hive Table?",
+		"uri":"mrs_01_1754.html",
+		"doc_type":"cmpntguide",
+		"p_code":"335",
+		"code":"337"
+	},
+	{
+		"desc":"How to perform operations on local files (such as reading the content of a file) with Hive user-defined functions?By default, you can perform operations on local files wi",
+		"product_code":"mrs",
+		"title":"How to Perform Operations on Local Files with Hive User-Defined Functions",
+		"uri":"mrs_01_1755.html",
+		"doc_type":"cmpntguide",
+		"p_code":"335",
+		"code":"338"
+	},
+	{
+		"desc":"How do I stop a MapReduce task manually if the task is suspended for a long time?",
+		"product_code":"mrs",
+		"title":"How Do I Forcibly Stop MapReduce Jobs Executed by Hive?",
+		"uri":"mrs_01_1756.html",
+		"doc_type":"cmpntguide",
+		"p_code":"335",
+		"code":"339"
+	},
+	{
+		"desc":"How do I monitor the Hive table size?The HDFS refined monitoring function allows you to monitor the size of a specified table directory.The Hive and HDFS components are r",
+		"product_code":"mrs",
+		"title":"How Do I Monitor the Hive Table Size?",
+		"uri":"mrs_01_1758.html",
+		"doc_type":"cmpntguide",
+		"p_code":"335",
+		"code":"340"
+	},
+	{
+		"desc":"How do I prevent key directories from data loss caused by misoperations of the insert overwrite statement?During monitoring of key Hive databases, tables, or directories,",
+		"product_code":"mrs",
+		"title":"How Do I Prevent Key Directories from Data Loss Caused by Misoperations of the insert overwrite Statement?",
+		"uri":"mrs_01_1759.html",
+		"doc_type":"cmpntguide",
+		"p_code":"335",
+		"code":"341"
+	},
+	{
+		"desc":"This function applies to Hive.Perform the following operations to configure parameters. When Hive on Spark tasks are executed in the environment where the HBase is not in",
+		"product_code":"mrs",
+		"title":"Why Is Hive on Spark Task Freezing When HBase Is Not Installed?",
+		"uri":"mrs_01_1760.html",
+		"doc_type":"cmpntguide",
+		"p_code":"335",
+		"code":"342"
+	},
+	{
+		"desc":"When a table with more than 32,000 partitions is created in Hive, an exception occurs during the query with the WHERE partition. In addition, the exception information pr",
+		"product_code":"mrs",
+		"title":"Error Reported When the WHERE Condition Is Used to Query Tables with Excessive Partitions in FusionInsight Hive",
+		"uri":"mrs_01_1761.html",
+		"doc_type":"cmpntguide",
+		"p_code":"335",
+		"code":"343"
+	},
+	{
+		"desc":"When users check the JDK version used by the client, if the JDK version is IBM JDK, the Beeline client needs to be reconstructed. Otherwise, the client will fail to conne",
+		"product_code":"mrs",
+		"title":"Why Cannot I Connect to HiveServer When I Use IBM JDK to Access the Beeline Client?",
+		"uri":"mrs_01_1762.html",
+		"doc_type":"cmpntguide",
+		"p_code":"335",
+		"code":"344"
+	},
+	{
+		"desc":"Can Hive tables be stored in OBS or HDFS?The location of a common Hive table stored on OBS can be set to an HDFS path.In the same Hive service, you can create tables stor",
+		"product_code":"mrs",
+		"title":"Description of Hive Table Location (Either Be an OBS or HDFS Path)",
+		"uri":"mrs_01_1763.html",
+		"doc_type":"cmpntguide",
+		"p_code":"335",
+		"code":"345"
+	},
+	{
+		"desc":"Hive uses the Tez engine to execute union-related statements to write data. After Hive is switched to the MapReduce engine for query, no data is found.When Hive uses the ",
+		"product_code":"mrs",
+		"title":"Why Cannot Data Be Queried After the MapReduce Engine Is Switched After the Tez Engine Is Used to Execute Union-related Statements?",
+		"uri":"mrs_01_2309.html",
+		"doc_type":"cmpntguide",
+		"p_code":"335",
+		"code":"346"
+	},
+	{
+		"desc":"Why Does Data Inconsistency Occur When Data Is Concurrently Written to a Hive Table Through an API?Hive does not support concurrent data insertion for the same table or p",
+		"product_code":"mrs",
+		"title":"Why Does Hive Not Support Concurrent Data Writing to the Same Table or Partition?",
+		"uri":"mrs_01_2310.html",
+		"doc_type":"cmpntguide",
+		"p_code":"335",
+		"code":"347"
+	},
+	{
+		"desc":"When the vectorized parameterhive.vectorized.execution.enabled is set to true, why do some null pointers or type conversion exceptions occur occasionally when Hive on Tez",
+		"product_code":"mrs",
+		"title":"Why Does Hive Not Support Vectorized Query?",
+		"uri":"mrs_01_2325.html",
+		"doc_type":"cmpntguide",
+		"p_code":"335",
+		"code":"348"
+	},
+	{
+		"desc":"The HDFS data directory of the Hive table is deleted by mistake, but the metadata still exists. As a result, an error is reported during task execution.This is a exceptio",
+		"product_code":"mrs",
+		"title":"Why Does Metadata Still Exist When the HDFS Data Directory of the Hive Table Is Deleted by Mistake?",
+		"uri":"mrs_01_2343.html",
+		"doc_type":"cmpntguide",
+		"p_code":"335",
+		"code":"349"
+	},
+	{
+		"desc":"How do I disable the logging function of Hive?cd/opt/Bigdata/clientsource bigdata_envIn security mode, run the following command to complete user authentication and log i",
+		"product_code":"mrs",
+		"title":"How Do I Disable the Logging Function of Hive?",
+		"uri":"mrs_01_24482.html",
+		"doc_type":"cmpntguide",
+		"p_code":"335",
+		"code":"350"
+	},
+	{
+		"desc":"In the scenario where the fine-grained permission is configured for multiple MRS users to access OBS, after the permission for deleting Hive tables in the OBS directory i",
+		"product_code":"mrs",
+		"title":"Why Hive Tables in the OBS Directory Fail to Be Deleted?",
+		"uri":"mrs_01_24486.html",
+		"doc_type":"cmpntguide",
+		"p_code":"335",
+		"code":"351"
+	},
+	{
+		"desc":"The error message \"java.lang.OutOfMemoryError: Java heap space.\" is displayed during Hive SQL execution.Solution:For MapReduce tasks, increase the values of the following",
+		"product_code":"mrs",
+		"title":"Hive Configuration Problems",
+		"uri":"mrs_01_24117.html",
+		"doc_type":"cmpntguide",
+		"p_code":"335",
+		"code":"352"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using Hudi",
+		"uri":"mrs_01_24025.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"353"
+	},
+	{
+		"desc":"This section describes capabilities of Hudi using spark-shell. Using the Spark data source, this section describes how to insert and update a Hudi dataset of the default ",
+		"product_code":"mrs",
+		"title":"Getting Started",
+		"uri":"mrs_01_24033.html",
+		"doc_type":"cmpntguide",
+		"p_code":"353",
+		"code":"354"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Basic Operations",
+		"uri":"mrs_01_24062.html",
+		"doc_type":"cmpntguide",
+		"p_code":"353",
+		"code":"355"
+	},
+	{
+		"desc":"When writing data, Hudi generates a Hudi table based on attributes such as the storage path, table name, and partition structure.Hudi table data files can be stored in th",
+		"product_code":"mrs",
+		"title":"Hudi Table Schema",
+		"uri":"mrs_01_24103.html",
+		"doc_type":"cmpntguide",
+		"p_code":"355",
+		"code":"356"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Write",
+		"uri":"mrs_01_24034.html",
+		"doc_type":"cmpntguide",
+		"p_code":"355",
+		"code":"357"
+	},
+	{
+		"desc":"Hudi provides multiple write modes. For details, see the configuration item hoodie.datasource.write.operation. This section describes upsert, insert, and bulk_insert.inse",
+		"product_code":"mrs",
+		"title":"Batch Write",
+		"uri":"mrs_01_24035.html",
+		"doc_type":"cmpntguide",
+		"p_code":"357",
+		"code":"358"
+	},
+	{
+		"desc":"You can run run_hive_sync_tool.sh to synchronize data in the Hudi table to Hive.For example, run the following command to synchronize the Hudi table in the hdfs://haclust",
+		"product_code":"mrs",
+		"title":"Synchronizing Hudi Table Data to Hive",
+		"uri":"mrs_01_24064.html",
+		"doc_type":"cmpntguide",
+		"p_code":"357",
+		"code":"359"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Read",
+		"uri":"mrs_01_24037.html",
+		"doc_type":"cmpntguide",
+		"p_code":"355",
+		"code":"360"
+	},
+	{
+		"desc":"Reading the real-time view (using Hive and SparkSQL as an example): Directly read the Hudi table stored in Hive.select count(*) from test;Reading the real-time view (usin",
+		"product_code":"mrs",
+		"title":"Reading COW Table Views",
+		"uri":"mrs_01_24098.html",
+		"doc_type":"cmpntguide",
+		"p_code":"360",
+		"code":"361"
+	},
+	{
+		"desc":"After the MOR table is synchronized to Hive, the following two tables are synchronized to Hive: Table name_rt and Table name_ro. The table suffixed with rt indicates the ",
+		"product_code":"mrs",
+		"title":"Reading MOR Table Views",
+		"uri":"mrs_01_24099.html",
+		"doc_type":"cmpntguide",
+		"p_code":"360",
+		"code":"362"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Data Management and Maintenance",
+		"uri":"mrs_01_24038.html",
+		"doc_type":"cmpntguide",
+		"p_code":"355",
+		"code":"363"
+	},
+	{
+		"desc":"Clustering reorganizes data layout to improve query performance without affecting the ingestion speed.Hudi provides different operations, such as insert, upsert, and bulk",
+		"product_code":"mrs",
+		"title":"Clustering",
+		"uri":"mrs_01_24088.html",
+		"doc_type":"cmpntguide",
+		"p_code":"363",
+		"code":"364"
+	},
+	{
+		"desc":"Cleaning is used to delete data of versions that are no longer required.Hudi uses the cleaner working in the background to continuously delete unnecessary data of old ver",
+		"product_code":"mrs",
+		"title":"Cleaning",
+		"uri":"mrs_01_24089.html",
+		"doc_type":"cmpntguide",
+		"p_code":"363",
+		"code":"365"
+	},
+	{
+		"desc":"A compaction merges base and log files of MOR tables.For MOR tables, data is stored in columnar Parquet files and row-based Avro files, updates are recorded in incrementa",
+		"product_code":"mrs",
+		"title":"Compaction",
+		"uri":"mrs_01_24090.html",
+		"doc_type":"cmpntguide",
+		"p_code":"363",
+		"code":"366"
+	},
+	{
+		"desc":"Savepoints are used to save and restore data of the customized version.Savepoints provided by Hudi can save different commits so that the cleaner program does not delete ",
+		"product_code":"mrs",
+		"title":"Savepoint",
+		"uri":"mrs_01_24091.html",
+		"doc_type":"cmpntguide",
+		"p_code":"363",
+		"code":"367"
+	},
+	{
+		"desc":"Uses an external service (ZooKeeper or Hive MetaStore) as the distributed mutex lock service.Files can be concurrently written, but commits cannot be concurrent. The comm",
+		"product_code":"mrs",
+		"title":"Single-Table Concurrent Write",
+		"uri":"mrs_01_24165.html",
+		"doc_type":"cmpntguide",
+		"p_code":"363",
+		"code":"368"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using the Hudi Client",
+		"uri":"mrs_01_24100.html",
+		"doc_type":"cmpntguide",
+		"p_code":"355",
+		"code":"369"
+	},
+	{
+		"desc":"For a cluster with Kerberos authentication enabled, a user has been created on FusionInsight Manager of the cluster and associated with user groups hadoop and hive.The Hu",
+		"product_code":"mrs",
+		"title":"Operating a Hudi Table Using hudi-cli.sh",
+		"uri":"mrs_01_24063.html",
+		"doc_type":"cmpntguide",
+		"p_code":"369",
+		"code":"370"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Configuration Reference",
+		"uri":"mrs_01_24032.html",
+		"doc_type":"cmpntguide",
+		"p_code":"355",
+		"code":"371"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Write Configuration",
+		"uri":"mrs_01_24093.html",
+		"doc_type":"cmpntguide",
+		"p_code":"371",
+		"code":"372"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Configuration of Hive Table Synchronization",
+		"uri":"mrs_01_24094.html",
+		"doc_type":"cmpntguide",
+		"p_code":"371",
+		"code":"373"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Index Configuration",
+		"uri":"mrs_01_24095.html",
+		"doc_type":"cmpntguide",
+		"p_code":"371",
+		"code":"374"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Storage Configuration",
+		"uri":"mrs_01_24096.html",
+		"doc_type":"cmpntguide",
+		"p_code":"371",
+		"code":"375"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Compaction and Cleaning Configurations",
+		"uri":"mrs_01_24097.html",
+		"doc_type":"cmpntguide",
+		"p_code":"371",
+		"code":"376"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Single-Table Concurrent Write Configuration",
+		"uri":"mrs_01_24167.html",
+		"doc_type":"cmpntguide",
+		"p_code":"371",
+		"code":"377"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Hudi Performance Tuning",
+		"uri":"mrs_01_24039.html",
+		"doc_type":"cmpntguide",
+		"p_code":"353",
+		"code":"378"
+	},
+	{
+		"desc":"In the current version, Spark is recommended for Hudi write operations. Therefore, the tuning methods of Hudi are similar to those of Spark. For details, see Spark2x Perf",
+		"product_code":"mrs",
+		"title":"Performance Tuning Methods",
+		"uri":"mrs_01_24101.html",
+		"doc_type":"cmpntguide",
+		"p_code":"378",
+		"code":"379"
+	},
+	{
+		"desc":"For MOR tables:The essence of MOR tables is to write incremental files, so the tuning is based on the data size (dataSize) of Hudi.If dataSize is only several GBs, you ar",
+		"product_code":"mrs",
+		"title":"Recommended Resource Configuration",
+		"uri":"mrs_01_24102.html",
+		"doc_type":"cmpntguide",
+		"p_code":"378",
+		"code":"380"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Common Issues About Hudi",
+		"uri":"mrs_01_24065.html",
+		"doc_type":"cmpntguide",
+		"p_code":"353",
+		"code":"381"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Data Write",
+		"uri":"mrs_01_24070.html",
+		"doc_type":"cmpntguide",
+		"p_code":"381",
+		"code":"382"
+	},
+	{
+		"desc":"The following error is reported when data is written:You are advised to evolve schemas in backward compatible mode while using Hudi. This error usually occurs when you de",
+		"product_code":"mrs",
+		"title":"Parquet/Avro schema Is Reported When Updated Data Is Written",
+		"uri":"mrs_01_24071.html",
+		"doc_type":"cmpntguide",
+		"p_code":"382",
+		"code":"383"
+	},
+	{
+		"desc":"The following error is reported when data is written:This error will occur again because schema evolutions are in non-backwards compatible mode. Basically, there is some ",
+		"product_code":"mrs",
+		"title":"UnsupportedOperationException Is Reported When Updated Data Is Written",
+		"uri":"mrs_01_24072.html",
+		"doc_type":"cmpntguide",
+		"p_code":"382",
+		"code":"384"
+	},
+	{
+		"desc":"The following error is reported when data is written:This error may occur if a schema contains some non-nullable field whose value is not present or is null.You are advis",
+		"product_code":"mrs",
+		"title":"SchemaCompatabilityException Is Reported When Updated Data Is Written",
+		"uri":"mrs_01_24073.html",
+		"doc_type":"cmpntguide",
+		"p_code":"382",
+		"code":"385"
+	},
+	{
+		"desc":"Hudi consumes much space in a temporary folder during upsert.Hudi will spill part of input data to disk if the maximum memory for merge is reached when much input data is",
+		"product_code":"mrs",
+		"title":"What Should I Do If Hudi Consumes Much Space in a Temporary Folder During Upsert?",
+		"uri":"mrs_01_24074.html",
+		"doc_type":"cmpntguide",
+		"p_code":"382",
+		"code":"386"
+	},
+	{
+		"desc":"Decimal data is initially written to a Hudi table using the BULK_INSERT command. Then when data is subsequently written using UPSERT, the following error is reported:Caus",
+		"product_code":"mrs",
+		"title":"Hudi Fails to Write Decimal Data with Lower Precision",
+		"uri":"mrs_01_24504.html",
+		"doc_type":"cmpntguide",
+		"p_code":"382",
+		"code":"387"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Data Collection",
+		"uri":"mrs_01_24075.html",
+		"doc_type":"cmpntguide",
+		"p_code":"381",
+		"code":"388"
+	},
+	{
+		"desc":"The error \"org.apache.kafka.common.KafkaException: Failed to construct kafka consumer\" is reported in the main thread, and the following error is reported.This error may ",
+		"product_code":"mrs",
+		"title":"IllegalArgumentException Is Reported When Kafka Is Used to Collect Data",
+		"uri":"mrs_01_24077.html",
+		"doc_type":"cmpntguide",
+		"p_code":"388",
+		"code":"389"
+	},
+	{
+		"desc":"The following error is reported when data is collected:This error usually occurs when a field marked as recordKey or partitionKey is not present in the input record. Cros",
+		"product_code":"mrs",
+		"title":"HoodieException Is Reported When Data Is Collected",
+		"uri":"mrs_01_24078.html",
+		"doc_type":"cmpntguide",
+		"p_code":"388",
+		"code":"390"
+	},
+	{
+		"desc":"Is it possible to use a nullable field that contains null records as a primary key when creating a Hudi table?No. HoodieKeyException will be thrown.",
+		"product_code":"mrs",
+		"title":"HoodieKeyException Is Reported When Data Is Collected",
+		"uri":"mrs_01_24079.html",
+		"doc_type":"cmpntguide",
+		"p_code":"388",
+		"code":"391"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Hive Synchronization",
+		"uri":"mrs_01_24080.html",
+		"doc_type":"cmpntguide",
+		"p_code":"381",
+		"code":"392"
+	},
+	{
+		"desc":"The following error is reported during Hive data synchronization:This error usually occurs when you try to add a new column to an existing Hive table using the HiveSyncTo",
+		"product_code":"mrs",
+		"title":"SQLException Is Reported During Hive Data Synchronization",
+		"uri":"mrs_01_24081.html",
+		"doc_type":"cmpntguide",
+		"p_code":"392",
+		"code":"393"
+	},
+	{
+		"desc":"The following error is reported during Hive data synchronization:This error occurs because HiveSyncTool currently supports only few compatible data type conversions. The ",
+		"product_code":"mrs",
+		"title":"HoodieHiveSyncException Is Reported During Hive Data Synchronization",
+		"uri":"mrs_01_24082.html",
+		"doc_type":"cmpntguide",
+		"p_code":"392",
+		"code":"394"
+	},
+	{
+		"desc":"The following error is reported during Hive data synchronization:This error usually occurs when Hive synchronization is performed on the Hudi dataset but the configured h",
+		"product_code":"mrs",
+		"title":"SemanticException Is Reported During Hive Data Synchronization",
+		"uri":"mrs_01_24083.html",
+		"doc_type":"cmpntguide",
+		"p_code":"392",
+		"code":"395"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using Hue (Versions Earlier Than MRS 3.x)",
+		"uri":"mrs_01_0369.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"396"
+	},
+	{
+		"desc":"Hue provides the file browser function using a graphical user interface (GUI) so that you can view files and directories on Hive.You have installed Hive and Hue, and the ",
+		"product_code":"mrs",
+		"title":"Using Hue from Scratch",
+		"uri":"mrs_01_1020.html",
+		"doc_type":"cmpntguide",
+		"p_code":"396",
+		"code":"397"
+	},
+	{
+		"desc":"After Hue is installed in an MRS cluster, users can use Hadoop and Hive on the Hue web UI.For versions earlier than MRS 1.9.2, MRS clusters with Kerberos authentication e",
+		"product_code":"mrs",
+		"title":"Accessing the Hue Web UI",
+		"uri":"mrs_01_0370.html",
+		"doc_type":"cmpntguide",
+		"p_code":"396",
+		"code":"398"
+	},
+	{
+		"desc":"For details about how to set parameters, see Modifying Cluster Service Configuration Parameters.",
+		"product_code":"mrs",
+		"title":"Hue Common Parameters",
+		"uri":"mrs_01_1021.html",
+		"doc_type":"cmpntguide",
+		"p_code":"396",
+		"code":"399"
+	},
+	{
+		"desc":"Users can use the Hue web UI to execute HiveQL statements in a cluster.For versions earlier than MRS 1.9.2, MRS clusters with Kerberos authentication enabled support this",
+		"product_code":"mrs",
+		"title":"Using HiveQL Editor on the Hue Web UI",
+		"uri":"mrs_01_0371.html",
+		"doc_type":"cmpntguide",
+		"p_code":"396",
+		"code":"400"
+	},
+	{
+		"desc":"Users can use the Hue web UI to manage Hive metadata in an MRS cluster.For versions earlier than MRS 1.9.2, MRS clusters with Kerberos authentication enabled support this",
+		"product_code":"mrs",
+		"title":"Using the Metadata Browser on the Hue Web UI",
+		"uri":"mrs_01_0372.html",
+		"doc_type":"cmpntguide",
+		"p_code":"396",
+		"code":"401"
+	},
+	{
+		"desc":"Users can use the Hue web UI to manage files in HDFS in a cluster.For versions earlier than MRS 1.9.2, MRS clusters with Kerberos authentication enabled support this func",
+		"product_code":"mrs",
+		"title":"Using File Browser on the Hue Web UI",
+		"uri":"mrs_01_0373.html",
+		"doc_type":"cmpntguide",
+		"p_code":"396",
+		"code":"402"
+	},
+	{
+		"desc":"You can use the Hue web UI to query all jobs in the cluster.For versions earlier than MRS 1.9.2, MRS clusters with Kerberos authentication enabled support this function.V",
+		"product_code":"mrs",
+		"title":"Using Job Browser on the Hue Web UI",
+		"uri":"mrs_01_0374.html",
+		"doc_type":"cmpntguide",
+		"p_code":"396",
+		"code":"403"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using Hue (MRS 3.x or Later)",
+		"uri":"mrs_01_0130.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"404"
+	},
+	{
+		"desc":"Hue aggregates interfaces which interact with most Apache Hadoop components and enables you to use Hadoop components with ease on a web UI. You can operate components suc",
+		"product_code":"mrs",
+		"title":"Using Hue from Scratch",
+		"uri":"mrs_01_0131.html",
+		"doc_type":"cmpntguide",
+		"p_code":"404",
+		"code":"405"
+	},
+	{
+		"desc":"After Hue is installed in an MRS cluster, users can use Hadoop-related components on the Hue web UI.This section describes how to open the Hue web UI on the MRS cluster.T",
+		"product_code":"mrs",
+		"title":"Accessing the Hue Web UI",
+		"uri":"mrs_01_0132.html",
+		"doc_type":"cmpntguide",
+		"p_code":"404",
+		"code":"406"
+	},
+	{
+		"desc":"Go to the All Configurations page of the Hue service by referring to Modifying Cluster Service Configuration Parameters.For details about Hue common parameters, see Table",
+		"product_code":"mrs",
+		"title":"Hue Common Parameters",
+		"uri":"mrs_01_0133.html",
+		"doc_type":"cmpntguide",
+		"p_code":"404",
+		"code":"407"
+	},
+	{
+		"desc":"Users can use the Hue web UI to execute HiveQL statements in an MRS cluster.Hive supports the following functions:Executes and manages HiveQL statements.Views the HiveQL ",
+		"product_code":"mrs",
+		"title":"Using HiveQL Editor on the Hue Web UI",
+		"uri":"mrs_01_0134.html",
+		"doc_type":"cmpntguide",
+		"p_code":"404",
+		"code":"408"
+	},
+	{
+		"desc":"You can use Hue to execute SparkSql statements in a cluster on a graphical user interface (GUI).Before using the SparkSql editor, you need to modify the Spark2x configura",
+		"product_code":"mrs",
+		"title":"Using the SparkSql Editor on the Hue Web UI",
+		"uri":"mrs_01_2370.html",
+		"doc_type":"cmpntguide",
+		"p_code":"404",
+		"code":"409"
+	},
+	{
+		"desc":"Users can use the Hue web UI to manage Hive metadata in an MRS cluster.Access the Hue web UI. For details, see Accessing the Hue Web UI.Viewing metadata of Hive tablesCli",
+		"product_code":"mrs",
+		"title":"Using the Metadata Browser on the Hue Web UI",
+		"uri":"mrs_01_0135.html",
+		"doc_type":"cmpntguide",
+		"p_code":"404",
+		"code":"410"
+	},
+	{
+		"desc":"Users can use the Hue web UI to manage files in HDFS.The Hue page is used to view and analyze data such as files and tables. Do not perform high-risk management operation",
+		"product_code":"mrs",
+		"title":"Using File Browser on the Hue Web UI",
+		"uri":"mrs_01_0136.html",
+		"doc_type":"cmpntguide",
+		"p_code":"404",
+		"code":"411"
+	},
+	{
+		"desc":"Users can use the Hue web UI to query all jobs in an MRS cluster.View the jobs in the current cluster.The number on Job Browser indicates the total number of jobs in the ",
+		"product_code":"mrs",
+		"title":"Using Job Browser on the Hue Web UI",
+		"uri":"mrs_01_0137.html",
+		"doc_type":"cmpntguide",
+		"p_code":"404",
+		"code":"412"
+	},
+	{
+		"desc":"You can use Hue to create or query HBase tables in a cluster and run tasks on the Hue web UI.Make sure that the HBase component has been installed in the MRS cluster and ",
+		"product_code":"mrs",
+		"title":"Using HBase on the Hue Web UI",
+		"uri":"mrs_01_2371.html",
+		"doc_type":"cmpntguide",
+		"p_code":"404",
+		"code":"413"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Typical Scenarios",
+		"uri":"mrs_01_0138.html",
+		"doc_type":"cmpntguide",
+		"p_code":"404",
+		"code":"414"
+	},
+	{
+		"desc":"Hue provides the file browser function for users to use HDFS in GUI mode.The Hue page is used to view and analyze data such as files and tables. Do not perform high-risk ",
+		"product_code":"mrs",
+		"title":"HDFS on Hue",
+		"uri":"mrs_01_0139.html",
+		"doc_type":"cmpntguide",
+		"p_code":"414",
+		"code":"415"
+	},
+	{
+		"desc":"Hue provides the Hive GUI management function so that users can query Hive data in GUI mode.Access the Hue web UI. For details, see Accessing the Hue Web UI.In the naviga",
+		"product_code":"mrs",
+		"title":"Hive on Hue",
+		"uri":"mrs_01_0141.html",
+		"doc_type":"cmpntguide",
+		"p_code":"414",
+		"code":"416"
+	},
+	{
+		"desc":"Hue provides the Oozie job manager function, in this case, you can use Oozie in GUI mode.The Hue page is used to view and analyze data such as files and tables. Do not pe",
+		"product_code":"mrs",
+		"title":"Oozie on Hue",
+		"uri":"mrs_01_0144.html",
+		"doc_type":"cmpntguide",
+		"p_code":"414",
+		"code":"417"
+	},
+	{
+		"desc":"Log paths: The default paths of Hue logs are /var/log/Bigdata/hue (for storing run logs) and /var/log/Bigdata/audit/hue (for storing audit logs).Log archive rules: The au",
+		"product_code":"mrs",
+		"title":"Hue Log Overview",
+		"uri":"mrs_01_0147.html",
+		"doc_type":"cmpntguide",
+		"p_code":"404",
+		"code":"418"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Common Issues About Hue",
+		"uri":"mrs_01_1764.html",
+		"doc_type":"cmpntguide",
+		"p_code":"404",
+		"code":"419"
+	},
+	{
+		"desc":"What do I do if all HQL statements fail to be executed when I use Internet Explorer to access Hive Editor in Hue and the message \"There was an error with your query\" is d",
+		"product_code":"mrs",
+		"title":"How Do I Solve the Problem that HQL Fails to Be Executed in Hue Using Internet Explorer?",
+		"uri":"mrs_01_1765.html",
+		"doc_type":"cmpntguide",
+		"p_code":"419",
+		"code":"420"
+	},
+	{
+		"desc":"When Hive is used, the use database statement is entered in the text box to switch the database, and other statements are also entered, why does the database fail to be s",
+		"product_code":"mrs",
+		"title":"Why Does the use database Statement Become Invalid When Hive Is Used?",
+		"uri":"mrs_01_1766.html",
+		"doc_type":"cmpntguide",
+		"p_code":"419",
+		"code":"421"
+	},
+	{
+		"desc":"What can I do if an error message shown in the following figure is displayed, indicating that the HDFS file cannot be accessed when I use Hue web UI to access the HDFS fi",
+		"product_code":"mrs",
+		"title":"What Can I Do If HDFS Files Fail to Be Accessed Using Hue WebUI?",
+		"uri":"mrs_01_0156.html",
+		"doc_type":"cmpntguide",
+		"p_code":"419",
+		"code":"422"
+	},
+	{
+		"desc":"What can I do when a large file fails to be uploaded on the Hue page?You are advised to run commands on the client to upload large files instead of using the Hue file bro",
+		"product_code":"mrs",
+		"title":"How Do I Do If a Large File Fails to Upload on the Hue Page?",
+		"uri":"mrs_01_2367.html",
+		"doc_type":"cmpntguide",
+		"p_code":"419",
+		"code":"423"
+	},
+	{
+		"desc":"Why is the native Hue page blank if the Hive service is not installed in a cluster?In MRS 3.x, Hue depends on Hive. If this problem occurs, check whether the Hive compone",
+		"product_code":"mrs",
+		"title":"Why Is the Hue Native Page Cannot Be Properly Displayed If the Hive Service Is Not Installed in a Cluster?",
+		"uri":"mrs_01_2368.html",
+		"doc_type":"cmpntguide",
+		"p_code":"419",
+		"code":"424"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using Kafka",
+		"uri":"mrs_01_0375.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"425"
+	},
+	{
+		"desc":"You can create, query, and delete topics on a cluster client.The client has been installed. For example, the client is installed in the /opt/hadoopclient directory. The c",
+		"product_code":"mrs",
+		"title":"Using Kafka from Scratch",
+		"uri":"mrs_01_1031.html",
+		"doc_type":"cmpntguide",
+		"p_code":"425",
+		"code":"426"
+	},
+	{
+		"desc":"You can manage Kafka topics on a cluster client based on service requirements. Management permission is required for clusters with Kerberos authentication enabled.You hav",
+		"product_code":"mrs",
+		"title":"Managing Kafka Topics",
+		"uri":"mrs_01_0376.html",
+		"doc_type":"cmpntguide",
+		"p_code":"425",
+		"code":"427"
+	},
+	{
+		"desc":"You can query existing Kafka topics on MRS.For versions earlier than MRS 1.9.2, log in to MRS Manager and choose Services > Kafka.For MRS 1.9.2 or later, click the cluste",
+		"product_code":"mrs",
+		"title":"Querying Kafka Topics",
+		"uri":"mrs_01_0377.html",
+		"doc_type":"cmpntguide",
+		"p_code":"425",
+		"code":"428"
+	},
+	{
+		"desc":"For clusters with Kerberos authentication enabled, using Kafka requires relevant permissions. MRS clusters can grant the use permission of Kafka to different users.Table ",
+		"product_code":"mrs",
+		"title":"Managing Kafka User Permissions",
+		"uri":"mrs_01_0378.html",
+		"doc_type":"cmpntguide",
+		"p_code":"425",
+		"code":"429"
+	},
+	{
+		"desc":"You can produce or consume messages in Kafka topics using the MRS cluster client. For clusters with Kerberos authentication enabled, you must have the permission to perfo",
+		"product_code":"mrs",
+		"title":"Managing Messages in Kafka Topics",
+		"uri":"mrs_01_0379.html",
+		"doc_type":"cmpntguide",
+		"p_code":"425",
+		"code":"430"
+	},
+	{
+		"desc":"This section describes how to use the Maxwell data synchronization tool to migrate offline binlog-based data to an MRS Kafka cluster.Maxwell is an open source application",
+		"product_code":"mrs",
+		"title":"Synchronizing Binlog-based MySQL Data to the MRS Cluster",
+		"uri":"mrs_01_0441.html",
+		"doc_type":"cmpntguide",
+		"p_code":"425",
+		"code":"431"
+	},
+	{
+		"desc":"This section describes how to create and configure a Kafka role.This section applies to MRS 3.x or later.Users can create Kafka roles only in security mode.If the current",
+		"product_code":"mrs",
+		"title":"Creating a Kafka Role",
+		"uri":"mrs_01_1032.html",
+		"doc_type":"cmpntguide",
+		"p_code":"425",
+		"code":"432"
+	},
+	{
+		"desc":"This section applies to MRS 3.x or later.For details about how to set parameters, see Modifying Cluster Service Configuration Parameters.",
+		"product_code":"mrs",
+		"title":"Kafka Common Parameters",
+		"uri":"mrs_01_1033.html",
+		"doc_type":"cmpntguide",
+		"p_code":"425",
+		"code":"433"
+	},
+	{
+		"desc":"This section applies to MRS 3.x or later.Producer APIIndicates the API defined in org.apache.kafka.clients.producer.KafkaProducer. When kafka-console-producer.sh is used,",
+		"product_code":"mrs",
+		"title":"Safety Instructions on Using Kafka",
+		"uri":"mrs_01_1035.html",
+		"doc_type":"cmpntguide",
+		"p_code":"425",
+		"code":"434"
+	},
+	{
+		"desc":"This section applies to MRS 3.x or later.The maximum number of topics depends on the number of file handles (mainly used by data and index files on site) opened in the pr",
+		"product_code":"mrs",
+		"title":"Kafka Specifications",
+		"uri":"mrs_01_1036.html",
+		"doc_type":"cmpntguide",
+		"p_code":"425",
+		"code":"435"
+	},
+	{
+		"desc":"This section guides users to use a Kafka client in an O&M or service scenario.This section applies to MRS 3.x or later clusters.The client has been installed. For example",
+		"product_code":"mrs",
+		"title":"Using the Kafka Client",
+		"uri":"mrs_01_1767.html",
+		"doc_type":"cmpntguide",
+		"p_code":"425",
+		"code":"436"
+	},
+	{
+		"desc":"For the Kafka message transmission assurance mechanism, different parameters are available for meeting different performance and reliability requirements. This section de",
+		"product_code":"mrs",
+		"title":"Configuring Kafka HA and High Reliability Parameters",
+		"uri":"mrs_01_1037.html",
+		"doc_type":"cmpntguide",
+		"p_code":"425",
+		"code":"437"
+	},
+	{
+		"desc":"This section applies to MRS 3.x or later.When a broker storage directory is added, the system administrator needs to change the broker storage directory on FusionInsight ",
+		"product_code":"mrs",
+		"title":"Changing the Broker Storage Directory",
+		"uri":"mrs_01_1038.html",
+		"doc_type":"cmpntguide",
+		"p_code":"425",
+		"code":"438"
+	},
+	{
+		"desc":"This section describes how to view the current expenditure on the client based on service requirements.This section applies to MRS 3.x or later.The system administrator h",
+		"product_code":"mrs",
+		"title":"Checking the Consumption Status of Consumer Group",
+		"uri":"mrs_01_1039.html",
+		"doc_type":"cmpntguide",
+		"p_code":"425",
+		"code":"439"
+	},
+	{
+		"desc":"This section describes how to use the Kafka balancing tool on a client to balance the load of the Kafka cluster based on service requirements in scenarios such as node de",
+		"product_code":"mrs",
+		"title":"Kafka Balancing Tool Instructions",
+		"uri":"mrs_01_1040.html",
+		"doc_type":"cmpntguide",
+		"p_code":"425",
+		"code":"440"
+	},
+	{
+		"desc":"This section describes how to use the Kafka balancing tool on the client to balance the load of the Kafka cluster after Kafka nodes are scaled out.This section applies to",
+		"product_code":"mrs",
+		"title":"Balancing Data After Kafka Node Scale-Out",
+		"uri":"mrs_01_24299.html",
+		"doc_type":"cmpntguide",
+		"p_code":"425",
+		"code":"441"
+	},
+	{
+		"desc":"Operations need to be performed on tokens when the token authentication mechanism is used.This section applies to security clusters of MRS 3.x or later.The system adminis",
+		"product_code":"mrs",
+		"title":"Kafka Token Authentication Mechanism Tool Usage",
+		"uri":"mrs_01_1041.html",
+		"doc_type":"cmpntguide",
+		"p_code":"425",
+		"code":"442"
+	},
+	{
+		"desc":"This section applies to MRS 3.x or later.Log paths: The default storage path of Kafka logs is /var/log/Bigdata/kafka. The default storage path of audit logs is /var/log/B",
+		"product_code":"mrs",
+		"title":"Introduction to Kafka Logs",
+		"uri":"mrs_01_1042.html",
+		"doc_type":"cmpntguide",
+		"p_code":"425",
+		"code":"443"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Performance Tuning",
+		"uri":"mrs_01_1043.html",
+		"doc_type":"cmpntguide",
+		"p_code":"425",
+		"code":"444"
+	},
+	{
+		"desc":"You can modify Kafka server parameters to improve Kafka processing capabilities in specific service scenarios.Modify the service configuration parameters. For details, se",
+		"product_code":"mrs",
+		"title":"Kafka Performance Tuning",
+		"uri":"mrs_01_1044.html",
+		"doc_type":"cmpntguide",
+		"p_code":"444",
+		"code":"445"
+	},
+	{
+		"desc":"Feature description: The function of creating idempotent producers is introduced in Kafka 0.11.0.0. After this function is enabled, producers are automatically upgraded t",
+		"product_code":"mrs",
+		"title":"Kafka Feature Description",
+		"uri":"mrs_01_2312.html",
+		"doc_type":"cmpntguide",
+		"p_code":"425",
+		"code":"446"
+	},
+	{
+		"desc":"This section describes how to use Kafka client commands to migrate partition data between disks on a node without stopping the Kafka service.The system administrator has ",
+		"product_code":"mrs",
+		"title":"Migrating Data Between Kafka Nodes",
+		"uri":"mrs_01_24534.html",
+		"doc_type":"cmpntguide",
+		"p_code":"425",
+		"code":"447"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Common Issues About Kafka",
+		"uri":"mrs_01_1768.html",
+		"doc_type":"cmpntguide",
+		"p_code":"425",
+		"code":"448"
+	},
+	{
+		"desc":"How do I delete a Kafka topic if it fails to be deleted?Possible cause 1: The delete.topic.enable configuration item is not set to true. The deletion can be performed onl",
+		"product_code":"mrs",
+		"title":"How Do I Solve the Problem that Kafka Topics Cannot Be Deleted?",
+		"uri":"mrs_01_1769.html",
+		"doc_type":"cmpntguide",
+		"p_code":"448",
+		"code":"449"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using KafkaManager",
+		"uri":"mrs_01_0435.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"450"
+	},
+	{
+		"desc":"KafkaManager is a tool for managing Apache Kafka and provides GUI-based metric monitoring and management of Kafka clusters. This section applies to MRS 1.9.2 clusters.Kaf",
+		"product_code":"mrs",
+		"title":"Introduction to KafkaManager",
+		"uri":"mrs_01_0436.html",
+		"doc_type":"cmpntguide",
+		"p_code":"450",
+		"code":"451"
+	},
+	{
+		"desc":"You can monitor and manage Kafka clusters on the graphical KafkaManager web UI.This section applies to MRS 1.9.2 clusters.KafkaManager has been installed in a cluster.The",
+		"product_code":"mrs",
+		"title":"Accessing the KafkaManager Web UI",
+		"uri":"mrs_01_0437.html",
+		"doc_type":"cmpntguide",
+		"p_code":"450",
+		"code":"452"
+	},
+	{
+		"desc":"This section applies to MRS 1.9.2 clusters.Kafka cluster management includes the following operations:Adding a Cluster on the KafkaManager Web UIUpdating Cluster Paramete",
+		"product_code":"mrs",
+		"title":"Managing Kafka Clusters",
+		"uri":"mrs_01_0438.html",
+		"doc_type":"cmpntguide",
+		"p_code":"450",
+		"code":"453"
+	},
+	{
+		"desc":"This section applies to MRS 1.9.2 clusters.The Kafka cluster monitoring management includes the following operations:Viewing Broker InformationViewing Topic InformationVi",
+		"product_code":"mrs",
+		"title":"Kafka Cluster Monitoring Management",
+		"uri":"mrs_01_0439.html",
+		"doc_type":"cmpntguide",
+		"p_code":"450",
+		"code":"454"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using Loader",
+		"uri":"mrs_01_0400.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"455"
+	},
+	{
+		"desc":"You can use Loader to import data from the SFTP server to HDFS.This section applies to MRS clusters earlier than 3.x.You have prepared service data.You have created an an",
+		"product_code":"mrs",
+		"title":"Using Loader from Scratch",
+		"uri":"mrs_01_1084.html",
+		"doc_type":"cmpntguide",
+		"p_code":"455",
+		"code":"456"
+	},
+	{
+		"desc":"This section applies to MRS clusters earlier than 3.x.The process for migrating user data with Loader is as follows:Access the Loader page of the Hue web UI.Manage Loader",
+		"product_code":"mrs",
+		"title":"How to Use Loader",
+		"uri":"mrs_01_0401.html",
+		"doc_type":"cmpntguide",
+		"p_code":"455",
+		"code":"457"
+	},
+	{
+		"desc":"This section applies to versions earlier than MRS 3.x.Loader supports the following links. This section describes configurations of each link.obs-connectorgeneric-jdbc-co",
+		"product_code":"mrs",
+		"title":"Loader Link Configuration",
+		"uri":"mrs_01_0402.html",
+		"doc_type":"cmpntguide",
+		"p_code":"455",
+		"code":"458"
+	},
+	{
+		"desc":"You can create, view, edit, and delete links on the Loader page.This section applies to versions earlier than MRS 3.x.You have accessed the Loader page. For details, see ",
+		"product_code":"mrs",
+		"title":"Managing Loader Links (Versions Earlier Than MRS 3.x)",
+		"uri":"mrs_01_0403.html",
+		"doc_type":"cmpntguide",
+		"p_code":"455",
+		"code":"459"
+	},
+	{
+		"desc":"When Loader jobs obtain data from different data sources, a link corresponding to a data source type needs to be selected and the link properties need to be configured.Th",
+		"product_code":"mrs",
+		"title":"Source Link Configurations of Loader Jobs",
+		"uri":"mrs_01_0404.html",
+		"doc_type":"cmpntguide",
+		"p_code":"455",
+		"code":"460"
+	},
+	{
+		"desc":"When Loader jobs save data to different storage locations, a destination link needs to be selected and the link properties need to be configured.",
+		"product_code":"mrs",
+		"title":"Destination Link Configurations of Loader Jobs",
+		"uri":"mrs_01_0405.html",
+		"doc_type":"cmpntguide",
+		"p_code":"455",
+		"code":"461"
+	},
+	{
+		"desc":"You can create, view, edit, and delete jobs on the Loader page.This section applies to versions earlier than MRS 3.x.You have accessed the Loader page. For details, see L",
+		"product_code":"mrs",
+		"title":"Managing Loader Jobs",
+		"uri":"mrs_01_0406.html",
+		"doc_type":"cmpntguide",
+		"p_code":"455",
+		"code":"462"
+	},
+	{
+		"desc":"As a component for batch data export, Loader can import and export data using a relational database.You have prepared service data.Procedure for MRS clusters earlier than",
+		"product_code":"mrs",
+		"title":"Preparing a Driver for MySQL Database Link",
+		"uri":"mrs_01_0407.html",
+		"doc_type":"cmpntguide",
+		"p_code":"455",
+		"code":"463"
+	},
+	{
+		"desc":"Log path: The default storage path of Loader log files is /var/log/Bigdata/loader/Log category.runlog: /var/log/Bigdata/loader/runlog (run logs)scriptlog: /var/log/Bigdat",
+		"product_code":"mrs",
+		"title":"Loader Log Overview",
+		"uri":"mrs_01_1165.html",
+		"doc_type":"cmpntguide",
+		"p_code":"455",
+		"code":"464"
+	},
+	{
+		"desc":"If you need to import a large volume of data from the external cluster to the internal cluster, import it from OBS to HDFS.You have prepared service data.You have created",
+		"product_code":"mrs",
+		"title":"Example: Using Loader to Import Data from OBS to HDFS",
+		"uri":"mrs_01_0408.html",
+		"doc_type":"cmpntguide",
+		"p_code":"455",
+		"code":"465"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Common Issues About Loader",
+		"uri":"mrs_01_1785.html",
+		"doc_type":"cmpntguide",
+		"p_code":"455",
+		"code":"466"
+	},
+	{
+		"desc":"Internet Explorer 11 or Internet Explorer 10 is used to access the web UI of Loader. After data is submitted, an error occurs.SymptomWhen the submitted data is saved, a s",
+		"product_code":"mrs",
+		"title":"How to Resolve the Problem that Failed to Save Data When Using Internet Explorer 10 or Internet Explorer 11 ?",
+		"uri":"mrs_01_1786.html",
+		"doc_type":"cmpntguide",
+		"p_code":"466",
+		"code":"467"
+	},
+	{
+		"desc":"Three types of connectors are available for importing data from the Oracle database to HDFS using Loader. That is, generic-jdbc-connector, oracle-connector, and oracle-pa",
+		"product_code":"mrs",
+		"title":"Differences Among Connectors Used During the Process of Importing Data from the Oracle Database to HDFS",
+		"uri":"mrs_01_1787.html",
+		"doc_type":"cmpntguide",
+		"p_code":"466",
+		"code":"468"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using MapReduce",
+		"uri":"mrs_01_0834.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"469"
+	},
+	{
+		"desc":"Job and task logs are generated during execution of a MapReduce application.Job logs are generated by the MRApplicationMaster, which record details about the start and ru",
+		"product_code":"mrs",
+		"title":"Configuring the Log Archiving and Clearing Mechanism",
+		"uri":"mrs_01_0836.html",
+		"doc_type":"cmpntguide",
+		"p_code":"469",
+		"code":"470"
+	},
+	{
+		"desc":"When the network is unstable or the cluster I/O and CPU are overloaded, client applications might encounter running failures.Adjust the following parameters in the mapred",
+		"product_code":"mrs",
+		"title":"Reducing Client Application Failure Rate",
+		"uri":"mrs_01_0837.html",
+		"doc_type":"cmpntguide",
+		"p_code":"469",
+		"code":"471"
+	},
+	{
+		"desc":"If you want to transmit a job from Windows to Linux, set mapreduce.app-submission.cross-platform to true. If this parameter is unavailable for a cluster or its value is f",
+		"product_code":"mrs",
+		"title":"Transmitting MapReduce Tasks from Windows to Linux",
+		"uri":"mrs_01_0838.html",
+		"doc_type":"cmpntguide",
+		"p_code":"469",
+		"code":"472"
+	},
+	{
+		"desc":"This section applies to MRS 3.x or later.Distributed caching is useful in the following scenarios:Rolling UpgradeDuring the upgrade, applications must keep the text conte",
+		"product_code":"mrs",
+		"title":"Configuring the Distributed Cache",
+		"uri":"mrs_01_0839.html",
+		"doc_type":"cmpntguide",
+		"p_code":"469",
+		"code":"473"
+	},
+	{
+		"desc":"When the MapReduce shuffle service is started, it attempts to bind an IP address based on local host. If the MapReduce shuffle service is required to connect to a specifi",
+		"product_code":"mrs",
+		"title":"Configuring the MapReduce Shuffle Address",
+		"uri":"mrs_01_0840.html",
+		"doc_type":"cmpntguide",
+		"p_code":"469",
+		"code":"474"
+	},
+	{
+		"desc":"This function is used to specify the MapReduce cluster administrator.The systemadministrator list is specified by mapreduce.cluster.administrators. The cluster administra",
+		"product_code":"mrs",
+		"title":"Configuring the Cluster Administrator List",
+		"uri":"mrs_01_0841.html",
+		"doc_type":"cmpntguide",
+		"p_code":"469",
+		"code":"475"
+	},
+	{
+		"desc":"Log paths:JobhistoryServer: /var/log/Bigdata/mapreduce/jobhistory (run log) and /var/log/Bigdata/audit/mapreduce/jobhistory (audit log)Container: /srv/BigData/hadoop/data",
+		"product_code":"mrs",
+		"title":"Introduction to MapReduce Logs",
+		"uri":"mrs_01_0842.html",
+		"doc_type":"cmpntguide",
+		"p_code":"469",
+		"code":"476"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"MapReduce Performance Tuning",
+		"uri":"mrs_01_0843.html",
+		"doc_type":"cmpntguide",
+		"p_code":"469",
+		"code":"477"
+	},
+	{
+		"desc":"Optimization can be performed when the number of CPU cores is large, for example, the number of CPU cores is three times the number of disks.You can set the following par",
+		"product_code":"mrs",
+		"title":"Optimization Configuration for Multiple CPU Cores",
+		"uri":"mrs_01_0844.html",
+		"doc_type":"cmpntguide",
+		"p_code":"477",
+		"code":"478"
+	},
+	{
+		"desc":"The performance optimization effect is verified by comparing actual values with the baseline data. Therefore, determining optimal job baseline is critical to performance ",
+		"product_code":"mrs",
+		"title":"Determining the Job Baseline",
+		"uri":"mrs_01_0845.html",
+		"doc_type":"cmpntguide",
+		"p_code":"477",
+		"code":"479"
+	},
+	{
+		"desc":"During the shuffle procedure of MapReduce, the Map task writes intermediate data into disks, and the Reduce task copies and adds the data to the reduce function. Hadoop p",
+		"product_code":"mrs",
+		"title":"Streamlining Shuffle",
+		"uri":"mrs_01_0846.html",
+		"doc_type":"cmpntguide",
+		"p_code":"477",
+		"code":"480"
+	},
+	{
+		"desc":"A big job containing 100,000 Map tasks fails. It is found that the failure is triggered by the slow response of ApplicationMaster (AM).When the number of tasks increases,",
+		"product_code":"mrs",
+		"title":"AM Optimization for Big Tasks",
+		"uri":"mrs_01_0847.html",
+		"doc_type":"cmpntguide",
+		"p_code":"477",
+		"code":"481"
+	},
+	{
+		"desc":"If a cluster has hundreds or thousands of nodes, the hardware or software fault of a node may prolong the execution time of the entire task (as most tasks are already com",
+		"product_code":"mrs",
+		"title":"Speculative Execution",
+		"uri":"mrs_01_0848.html",
+		"doc_type":"cmpntguide",
+		"p_code":"477",
+		"code":"482"
+	},
+	{
+		"desc":"The Slow Start feature specifies the proportion of Map tasks to be completed before Reduce tasks are started. If the Reduce tasks are started too early, resources will be",
+		"product_code":"mrs",
+		"title":"Using Slow Start",
+		"uri":"mrs_01_0849.html",
+		"doc_type":"cmpntguide",
+		"p_code":"477",
+		"code":"483"
+	},
+	{
+		"desc":"By default, if an MR job generates a large number of output files, it takes a long time for the job to commit the temporary outputs of a task to the final output director",
+		"product_code":"mrs",
+		"title":"Optimizing Performance for Committing MR Jobs",
+		"uri":"mrs_01_0850.html",
+		"doc_type":"cmpntguide",
+		"p_code":"477",
+		"code":"484"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Common Issues About MapReduce",
+		"uri":"mrs_01_1788.html",
+		"doc_type":"cmpntguide",
+		"p_code":"469",
+		"code":"485"
+	},
+	{
+		"desc":"MapReduce job takes a very long time (more than 10minutes) when the ResourceManager switch while the job is running.This is because, ResorceManager HA is enabled but the ",
+		"product_code":"mrs",
+		"title":"Why Does It Take a Long Time to Run a Task Upon ResourceManager Active/Standby Switchover?",
+		"uri":"mrs_01_1789.html",
+		"doc_type":"cmpntguide",
+		"p_code":"485",
+		"code":"486"
+	},
+	{
+		"desc":"MapReduce job is not progressing for long timeThis is because of less memory. When the memory is less, the time taken by the job to copy the map output increases signific",
+		"product_code":"mrs",
+		"title":"Why Does a MapReduce Task Stay Unchanged for a Long Time?",
+		"uri":"mrs_01_1790.html",
+		"doc_type":"cmpntguide",
+		"p_code":"485",
+		"code":"487"
+	},
+	{
+		"desc":"Why is the client unavailable when the MR ApplicationMaster or ResourceManager is moved to the D state during job running?When a task is running, the MR ApplicationMaster",
+		"product_code":"mrs",
+		"title":"Why the Client Hangs During Job Running?",
+		"uri":"mrs_01_1791.html",
+		"doc_type":"cmpntguide",
+		"p_code":"485",
+		"code":"488"
+	},
+	{
+		"desc":"In security mode, why delegation token HDFS_DELEGATION_TOKEN is not found in the cache?In MapReduce, by default HDFS_DELEGATION_TOKEN will be canceled after the job compl",
+		"product_code":"mrs",
+		"title":"Why Cannot HDFS_DELEGATION_TOKEN Be Found in the Cache?",
+		"uri":"mrs_01_1792.html",
+		"doc_type":"cmpntguide",
+		"p_code":"485",
+		"code":"489"
+	},
+	{
+		"desc":"How do I set the job priority when submitting a MapReduce task?You can add the parameter -Dmapreduce.job.priority=<priority> in the command to set task priority when subm",
+		"product_code":"mrs",
+		"title":"How Do I Set the Task Priority When Submitting a MapReduce Task?",
+		"uri":"mrs_01_1793.html",
+		"doc_type":"cmpntguide",
+		"p_code":"485",
+		"code":"490"
+	},
+	{
+		"desc":"After the address of MapReduce JobHistoryServer is changed, why the wrong page is displayed when I click the tracking URL on the ResourceManager WebUI?JobHistoryServer ad",
+		"product_code":"mrs",
+		"title":"After the Address of MapReduce JobHistoryServer Is Changed, Why the Wrong Page is Displayed When I Click the Tracking URL on the ResourceManager WebUI?",
+		"uri":"mrs_01_1797.html",
+		"doc_type":"cmpntguide",
+		"p_code":"485",
+		"code":"491"
+	},
+	{
+		"desc":"MapReduce or Yarn job fails in multiple nameService environment using viewFS.When using viewFS only the mount directories are accessible, so the most possible cause is th",
+		"product_code":"mrs",
+		"title":"MapReduce Job Failed in Multiple NameService Environment",
+		"uri":"mrs_01_1799.html",
+		"doc_type":"cmpntguide",
+		"p_code":"485",
+		"code":"492"
+	},
+	{
+		"desc":"MapReduce task fails and the ratio of fault nodes to all nodes is smaller than the blacklist threshold configured by yarn.resourcemanager.am-scheduling.node-blacklisting-",
+		"product_code":"mrs",
+		"title":"Why a Fault MapReduce Node Is Not Blacklisted?",
+		"uri":"mrs_01_1800.html",
+		"doc_type":"cmpntguide",
+		"p_code":"485",
+		"code":"493"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using Oozie",
+		"uri":"mrs_01_1807.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"494"
+	},
+	{
+		"desc":"Oozie is an open-source workflow engine that is used to schedule and coordinate Hadoop jobs.Oozie can be used to submit a wide array of jobs, such as Hive, Spark2x, Loade",
+		"product_code":"mrs",
+		"title":"Using Oozie from Scratch",
+		"uri":"mrs_01_1808.html",
+		"doc_type":"cmpntguide",
+		"p_code":"494",
+		"code":"495"
+	},
+	{
+		"desc":"This section describes how to use the Oozie client in an O&M scenario or service scenario.The client has been installed. For example, the installation directory is /opt/c",
+		"product_code":"mrs",
+		"title":"Using the Oozie Client",
+		"uri":"mrs_01_1810.html",
+		"doc_type":"cmpntguide",
+		"p_code":"494",
+		"code":"496"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using Oozie Client to Submit an Oozie Job",
+		"uri":"mrs_01_1812.html",
+		"doc_type":"cmpntguide",
+		"p_code":"494",
+		"code":"497"
+	},
+	{
+		"desc":"This section describes how to use the Oozie client to submit a Hive job.Hive jobs are divided into the following types:Hive jobHive job that is connected in JDBC modeHive",
+		"product_code":"mrs",
+		"title":"Submitting a Hive Job",
+		"uri":"mrs_01_1813.html",
+		"doc_type":"cmpntguide",
+		"p_code":"497",
+		"code":"498"
+	},
+	{
+		"desc":"This section describes how to submit a Spark2x job using the Oozie client.You are advised to download the latest client.The Spark2x and Oozie components and clients have ",
+		"product_code":"mrs",
+		"title":"Submitting a Spark2x Job",
+		"uri":"mrs_01_1814.html",
+		"doc_type":"cmpntguide",
+		"p_code":"497",
+		"code":"499"
+	},
+	{
+		"desc":"This section describes how to submit a Loader job using the Oozie client.You are advised to download the latest client.The Hive and Oozie components and clients have been",
+		"product_code":"mrs",
+		"title":"Submitting a Loader Job",
+		"uri":"mrs_01_1815.html",
+		"doc_type":"cmpntguide",
+		"p_code":"497",
+		"code":"500"
+	},
+	{
+		"desc":"This section describes how to submit a DistCp job using the Oozie client.You are advised to download the latest client.The HDFS and Oozie components and clients have been",
+		"product_code":"mrs",
+		"title":"Submitting a DistCp Job",
+		"uri":"mrs_01_2392.html",
+		"doc_type":"cmpntguide",
+		"p_code":"497",
+		"code":"501"
+	},
+	{
+		"desc":"In addition to Hive, Spark2x, and Loader jobs, MapReduce, Java, Shell, HDFS, SSH, SubWorkflow, Streaming, and scheduled jobs can be submitted using the Oozie client.You a",
+		"product_code":"mrs",
+		"title":"Submitting Other Jobs",
+		"uri":"mrs_01_1816.html",
+		"doc_type":"cmpntguide",
+		"p_code":"497",
+		"code":"502"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using Hue to Submit an Oozie Job",
+		"uri":"mrs_01_1817.html",
+		"doc_type":"cmpntguide",
+		"p_code":"494",
+		"code":"503"
+	},
+	{
+		"desc":"You can submit an Oozie job on the Hue management page, but a workflow must be created before the job is submitted.Before using Hue to submit an Oozie job, configure the ",
+		"product_code":"mrs",
+		"title":"Creating a Workflow",
+		"uri":"mrs_01_1818.html",
+		"doc_type":"cmpntguide",
+		"p_code":"503",
+		"code":"504"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Submitting a Workflow Job",
+		"uri":"mrs_01_1819.html",
+		"doc_type":"cmpntguide",
+		"p_code":"503",
+		"code":"505"
+	},
+	{
+		"desc":"This section describes how to submit an Oozie job of the Hive2 type on the Hue web UI.For example, if the input parameter is INPUT=/user/admin/examples/input-data/table, ",
+		"product_code":"mrs",
+		"title":"Submitting a Hive2 Job",
+		"uri":"mrs_01_1820.html",
+		"doc_type":"cmpntguide",
+		"p_code":"505",
+		"code":"506"
+	},
+	{
+		"desc":"This section describes how to submit an Oozie job of the Spark2x type on Hue.For example, add the following parameters:hdfs://hacluster/user/admin/examples/input-data/tex",
+		"product_code":"mrs",
+		"title":"Submitting a Spark2x Job",
+		"uri":"mrs_01_1821.html",
+		"doc_type":"cmpntguide",
+		"p_code":"505",
+		"code":"507"
+	},
+	{
+		"desc":"This section describes how to submit an Oozie job of the Java type on the Hue web UI.If you need to modify the job name before saving the job (default value: My Workflow)",
+		"product_code":"mrs",
+		"title":"Submitting a Java Job",
+		"uri":"mrs_01_1822.html",
+		"doc_type":"cmpntguide",
+		"p_code":"505",
+		"code":"508"
+	},
+	{
+		"desc":"This section describes how to submit an Oozie job of the Loader type on the Hue web UI.Job id is the ID of the Loader job to be orchestrated and can be obtained from the ",
+		"product_code":"mrs",
+		"title":"Submitting a Loader Job",
+		"uri":"mrs_01_1823.html",
+		"doc_type":"cmpntguide",
+		"p_code":"505",
+		"code":"509"
+	},
+	{
+		"desc":"This section describes how to submit an Oozie job of the MapReduce type on the Hue web UI.For example, set the value of mapred.input.dir to /user/admin/examples/input-dat",
+		"product_code":"mrs",
+		"title":"Submitting a MapReduce Job",
+		"uri":"mrs_01_1824.html",
+		"doc_type":"cmpntguide",
+		"p_code":"505",
+		"code":"510"
+	},
+	{
+		"desc":"This section describes how to submit an Oozie job of the Sub-workflow type on the Hue web UI.If you need to modify the job name before saving the job (default value: My W",
+		"product_code":"mrs",
+		"title":"Submitting a Sub-workflow Job",
+		"uri":"mrs_01_1825.html",
+		"doc_type":"cmpntguide",
+		"p_code":"505",
+		"code":"511"
+	},
+	{
+		"desc":"This section describes how to submit an Oozie job of the Shell type on the Hue web UI.If the file is stored in HDFS, select the path of the .sh file, for example, user/hu",
+		"product_code":"mrs",
+		"title":"Submitting a Shell Job",
+		"uri":"mrs_01_1826.html",
+		"doc_type":"cmpntguide",
+		"p_code":"505",
+		"code":"512"
+	},
+	{
+		"desc":"This section describes how to submit an Oozie job of the HDFS type on the Hue web UI.If you need to modify the job name before saving the job (default value: My Workflow)",
+		"product_code":"mrs",
+		"title":"Submitting an HDFS Job",
+		"uri":"mrs_01_1827.html",
+		"doc_type":"cmpntguide",
+		"p_code":"505",
+		"code":"513"
+	},
+	{
+		"desc":"This section describes how to submit an Oozie job of the Streaming type on the Hue web UI.for example, /user/oozie/share/lib/mapreduce-streaming/hadoop-streaming-3.1.1.ja",
+		"product_code":"mrs",
+		"title":"Submitting a Streaming Job",
+		"uri":"mrs_01_1828.html",
+		"doc_type":"cmpntguide",
+		"p_code":"505",
+		"code":"514"
+	},
+	{
+		"desc":"This section describes how to submit an Oozie job of the DistCp type on the Hue web UI.If yes, go to 4.If no, go to 7.source_ip: service address of the HDFS NameNode in t",
+		"product_code":"mrs",
+		"title":"Submitting a DistCp Job",
+		"uri":"mrs_01_1829.html",
+		"doc_type":"cmpntguide",
+		"p_code":"505",
+		"code":"515"
+	},
+	{
+		"desc":"This section guides you to enable unidirectional password-free mutual trust when Oozie nodes are used to execute shell scripts of external nodes through SSH jobs.You have",
+		"product_code":"mrs",
+		"title":"Example of Mutual Trust Operations",
+		"uri":"mrs_01_1830.html",
+		"doc_type":"cmpntguide",
+		"p_code":"505",
+		"code":"516"
+	},
+	{
+		"desc":"This section guides you to submit an Oozie job of the SSH type on the Hue web UI.Due to security risks, SSH jobs cannot be submitted by default. To use the SSH function, ",
+		"product_code":"mrs",
+		"title":"Submitting an SSH Job",
+		"uri":"mrs_01_1831.html",
+		"doc_type":"cmpntguide",
+		"p_code":"505",
+		"code":"517"
+	},
+	{
+		"desc":"This section describes how to submit a Hive job on the Hue web UI.After the job is submitted, you can view the related contents of the job, such as the detailed informati",
+		"product_code":"mrs",
+		"title":"Submitting a Hive Script",
+		"uri":"mrs_01_2372.html",
+		"doc_type":"cmpntguide",
+		"p_code":"505",
+		"code":"518"
+	},
+	{
+		"desc":"This section describes how to submit a job of the periodic scheduling type on the Hue web UI.Required workflow jobs have been configured before the coordinator task is su",
+		"product_code":"mrs",
+		"title":"Submitting a Coordinator Periodic Scheduling Job",
+		"uri":"mrs_01_1840.html",
+		"doc_type":"cmpntguide",
+		"p_code":"503",
+		"code":"519"
+	},
+	{
+		"desc":"In the case that multiple scheduled jobs exist at the same time, you can manage the jobs in batches over the Bundle task. This section describes how to submit a job of th",
+		"product_code":"mrs",
+		"title":"Submitting a Bundle Batch Processing Job",
+		"uri":"mrs_01_1841.html",
+		"doc_type":"cmpntguide",
+		"p_code":"503",
+		"code":"520"
+	},
+	{
+		"desc":"After the jobs are submitted, you can view the execution status of a specific job on Hue.",
+		"product_code":"mrs",
+		"title":"Querying the Operation Results",
+		"uri":"mrs_01_1842.html",
+		"doc_type":"cmpntguide",
+		"p_code":"503",
+		"code":"521"
+	},
+	{
+		"desc":"Log path: The default storage paths of Oozie log files are as follows:Run log: /var/log/Bigdata/oozieAudit log: /var/log/Bigdata/audit/oozieLog archiving rule: Oozie logs",
+		"product_code":"mrs",
+		"title":"Oozie Log Overview",
+		"uri":"mrs_01_1843.html",
+		"doc_type":"cmpntguide",
+		"p_code":"494",
+		"code":"522"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Common Issues About Oozie",
+		"uri":"mrs_01_1844.html",
+		"doc_type":"cmpntguide",
+		"p_code":"494",
+		"code":"523"
+	},
+	{
+		"desc":"Why are not Coordinator scheduled jobs executed on time on the Hue or Oozie client?Use UTC time. For example, set start=2016-12-20T09:00Z in job.properties file.",
+		"product_code":"mrs",
+		"title":"Oozie Scheduled Tasks Are Not Executed on Time",
+		"uri":"mrs_01_1846.html",
+		"doc_type":"cmpntguide",
+		"p_code":"523",
+		"code":"524"
+	},
+	{
+		"desc":"A new JAR package is uploaded to the /user/oozie/share/lib directory on HDFS. However, an error indicating that the class cannot be found is reported during task executio",
+		"product_code":"mrs",
+		"title":"Why Update of the share lib Directory of Oozie on HDFS Does Not Take Effect?",
+		"uri":"mrs_01_1847.html",
+		"doc_type":"cmpntguide",
+		"p_code":"523",
+		"code":"525"
+	},
+	{
+		"desc":"Check the job logs on Yarn. Run the command executed through Hive SQL using beeline to ensure that Hive is running properly.If error information such as \"classnotfoundExc",
+		"product_code":"mrs",
+		"title":"Common Oozie Troubleshooting Methods",
+		"uri":"mrs_01_24479.html",
+		"doc_type":"cmpntguide",
+		"p_code":"523",
+		"code":"526"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using OpenTSDB",
+		"uri":"mrs_01_0599.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"527"
+	},
+	{
+		"desc":"You can perform an interactive operation on an MRS cluster client. For a cluster with Kerberos authentication enabled, the user must belong to the opentsdb, hbase, opents",
+		"product_code":"mrs",
+		"title":"Using an MRS Client to Operate OpenTSDB Metric Data",
+		"uri":"mrs_01_0471.html",
+		"doc_type":"cmpntguide",
+		"p_code":"527",
+		"code":"528"
+	},
+	{
+		"desc":"For example, to write data of a metric named testdata, whose timestamp is 1524900185, value is true, tag is key and value, run the following command:<tsd_ip>: indicates t",
+		"product_code":"mrs",
+		"title":"Running the curl Command to Operate OpenTSDB",
+		"uri":"mrs_01_0472.html",
+		"doc_type":"cmpntguide",
+		"p_code":"527",
+		"code":"529"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using Presto",
+		"uri":"mrs_01_0432.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"530"
+	},
+	{
+		"desc":"You can view the Presto statistics on the graphical Presto web UI. You are advised to use Google Chrome to access the Presto web UI because it cannot be accessed using In",
+		"product_code":"mrs",
+		"title":"Accessing the Presto Web UI",
+		"uri":"mrs_01_0433.html",
+		"doc_type":"cmpntguide",
+		"p_code":"530",
+		"code":"531"
+	},
+	{
+		"desc":"You can perform an interactive query on an MRS cluster client. For clusters with Kerberos authentication enabled, users who submit topologies must belong to the presto gr",
+		"product_code":"mrs",
+		"title":"Using a Client to Execute Query Statements",
+		"uri":"mrs_01_0434.html",
+		"doc_type":"cmpntguide",
+		"p_code":"530",
+		"code":"532"
+	},
+	{
+		"desc":"The Presto component has been installed in an MRS cluster.You have synchronized IAM users. (On the Dashboard page, click Synchronize on the right side of IAM User Sync to",
+		"product_code":"mrs",
+		"title":"Using Presto to Dump Data in DLF",
+		"uri":"mrs_01_0635.html",
+		"doc_type":"cmpntguide",
+		"p_code":"530",
+		"code":"533"
+	},
+	{
+		"desc":"MRS 3.x does not enable you to configure Presto permissions.By default, the Hive Catalog authorization of the Presto component is enabled in a security cluster. The Prest",
+		"product_code":"mrs",
+		"title":"Configuring Presto Permissions",
+		"uri":"mrs_01_0636.html",
+		"doc_type":"cmpntguide",
+		"p_code":"530",
+		"code":"534"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using Ranger (MRS 1.9.2)",
+		"uri":"mrs_01_0761.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"535"
+	},
+	{
+		"desc":"Currently, only normal MRS 1.9.2 clusters support Ranger. Security clusters with Kerberos authentication enabled do not support Ranger.After the cluster is created, Range",
+		"product_code":"mrs",
+		"title":"Creating a Ranger Cluster",
+		"uri":"mrs_01_0763.html",
+		"doc_type":"cmpntguide",
+		"p_code":"535",
+		"code":"536"
+	},
+	{
+		"desc":"You can manage Ranger on the Ranger web UI.After logging in to the Ranger Web UI for the first time, change the password and keep it secure.Ranger UserSync is an importan",
+		"product_code":"mrs",
+		"title":"Accessing the Ranger Web UI and Synchronizing Unix Users to the Ranger Web UI",
+		"uri":"mrs_01_0764.html",
+		"doc_type":"cmpntguide",
+		"p_code":"535",
+		"code":"537"
+	},
+	{
+		"desc":"After an MRS cluster with Ranger installed is created, Hive and Impala access control is not integrated into Ranger. This section describes how to integrate Hive into Ran",
+		"product_code":"mrs",
+		"title":"Configuring Hive/Impala Access Permissions in Ranger",
+		"uri":"mrs_01_0765.html",
+		"doc_type":"cmpntguide",
+		"p_code":"535",
+		"code":"538"
+	},
+	{
+		"desc":"After an MRS cluster with Ranger installed is created, HBase access control is not integrated into Ranger. This section describes how to integrate HBase into Ranger.Addin",
+		"product_code":"mrs",
+		"title":"Configuring HBase Access Permissions in Ranger",
+		"uri":"mrs_01_0766.html",
+		"doc_type":"cmpntguide",
+		"p_code":"535",
+		"code":"539"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using Ranger (MRS 3.x)",
+		"uri":"mrs_01_1849.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"540"
+	},
+	{
+		"desc":"Ranger provides a centralized permission management framework to implement fine-grained permission control on components such as HDFS, HBase, Hive, and Yarn. In addition,",
+		"product_code":"mrs",
+		"title":"Logging In to the Ranger Web UI",
+		"uri":"mrs_01_1850.html",
+		"doc_type":"cmpntguide",
+		"p_code":"540",
+		"code":"541"
+	},
+	{
+		"desc":"This section guides you how to enable Ranger authentication. Ranger authentication is enabled by default in security mode and disabled by default in normal mode.If Enable",
+		"product_code":"mrs",
+		"title":"Enabling Ranger Authentication",
+		"uri":"mrs_01_2393.html",
+		"doc_type":"cmpntguide",
+		"p_code":"540",
+		"code":"542"
+	},
+	{
+		"desc":"In the newly installed MRS cluster, Ranger is installed by default, with the Ranger authentication model enabled. The systemadministrator can set fine-grained security po",
+		"product_code":"mrs",
+		"title":"Configuring Component Permission Policies",
+		"uri":"mrs_01_1851.html",
+		"doc_type":"cmpntguide",
+		"p_code":"540",
+		"code":"543"
+	},
+	{
+		"desc":"The systemadministrator can view audit logs of the Ranger running and the permission control after Ranger authentication is enabled on the Ranger web UI.",
+		"product_code":"mrs",
+		"title":"Viewing Ranger Audit Information",
+		"uri":"mrs_01_1852.html",
+		"doc_type":"cmpntguide",
+		"p_code":"540",
+		"code":"544"
+	},
+	{
+		"desc":"Security zone can be configured using Ranger. Rangeradministrators can divide resources of each component into multiple security zones where administrators set security p",
+		"product_code":"mrs",
+		"title":"Configuring a Security Zone",
+		"uri":"mrs_01_1853.html",
+		"doc_type":"cmpntguide",
+		"p_code":"540",
+		"code":"545"
+	},
+	{
+		"desc":"By default, the Ranger data source of the security cluster can be accessed by FusionInsight Manager LDAP users. By default, the Ranger data source of a common cluster can",
+		"product_code":"mrs",
+		"title":"Changing the Ranger Data Source to LDAP for a Normal Cluster",
+		"uri":"mrs_01_2394.html",
+		"doc_type":"cmpntguide",
+		"p_code":"540",
+		"code":"546"
+	},
+	{
+		"desc":"You can view Ranger permission settings, such as users, user groups, and roles.Users: displays all user information synchronized from LDAP or OS to Ranger.Groups: display",
+		"product_code":"mrs",
+		"title":"Viewing Ranger Permission Information",
+		"uri":"mrs_01_1854.html",
+		"doc_type":"cmpntguide",
+		"p_code":"540",
+		"code":"547"
+	},
+	{
+		"desc":"The Rangeradministrator can use Ranger to configure the read, write, and execution permissions on HDFS directories or files for HDFS users.The Ranger service has been ins",
+		"product_code":"mrs",
+		"title":"Adding a Ranger Access Permission Policy for HDFS",
+		"uri":"mrs_01_1856.html",
+		"doc_type":"cmpntguide",
+		"p_code":"540",
+		"code":"548"
+	},
+	{
+		"desc":"Rangeradministrators can use Ranger to configure permissions on HBase tables, column families, and columns for HBase users.The Ranger service has been installed and is ru",
+		"product_code":"mrs",
+		"title":"Adding a Ranger Access Permission Policy for HBase",
+		"uri":"mrs_01_1857.html",
+		"doc_type":"cmpntguide",
+		"p_code":"540",
+		"code":"549"
+	},
+	{
+		"desc":"The Rangeradministrator can use Ranger to set permissions for Hive users. The default administrator account of Hive is hive and the initial password is Hive@123.The Range",
+		"product_code":"mrs",
+		"title":"Adding a Ranger Access Permission Policy for Hive",
+		"uri":"mrs_01_1858.html",
+		"doc_type":"cmpntguide",
+		"p_code":"540",
+		"code":"550"
+	},
+	{
+		"desc":"The Rangeradministrator can use Ranger to configure Yarn administrator permissions for Yarn users, allowing them to manage Yarn queue resources.The Ranger service has bee",
+		"product_code":"mrs",
+		"title":"Adding a Ranger Access Permission Policy for Yarn",
+		"uri":"mrs_01_1859.html",
+		"doc_type":"cmpntguide",
+		"p_code":"540",
+		"code":"551"
+	},
+	{
+		"desc":"The Rangeradministrator can use Ranger to set permissions for Spark2x users.After Ranger authentication is enabled or disabled on Spark2x, you need to restart Spark2x.Dow",
+		"product_code":"mrs",
+		"title":"Adding a Ranger Access Permission Policy for Spark2x",
+		"uri":"mrs_01_1860.html",
+		"doc_type":"cmpntguide",
+		"p_code":"540",
+		"code":"552"
+	},
+	{
+		"desc":"The Rangeradministrator can use Ranger to configure the read, write, and management permissions of the Kafka topic and the management permission of the cluster for the Ka",
+		"product_code":"mrs",
+		"title":"Adding a Ranger Access Permission Policy for Kafka",
+		"uri":"mrs_01_1861.html",
+		"doc_type":"cmpntguide",
+		"p_code":"540",
+		"code":"553"
+	},
+	{
+		"desc":"The Rangeradministrator can use Ranger to set permissions for Storm users.The Ranger service has been installed and is running properly.You have created users, user group",
+		"product_code":"mrs",
+		"title":"Adding a Ranger Access Permission Policy for Storm",
+		"uri":"mrs_01_1863.html",
+		"doc_type":"cmpntguide",
+		"p_code":"540",
+		"code":"554"
+	},
+	{
+		"desc":"Log path: The default storage path of Ranger logs is /var/log/Bigdata/ranger/Role name.RangerAdmin: /var/log/Bigdata/ranger/rangeradmin (run logs)TagSync: /var/log/Bigdat",
+		"product_code":"mrs",
+		"title":"Ranger Log Overview",
+		"uri":"mrs_01_1865.html",
+		"doc_type":"cmpntguide",
+		"p_code":"540",
+		"code":"555"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Common Issues About Ranger",
+		"uri":"mrs_01_1866.html",
+		"doc_type":"cmpntguide",
+		"p_code":"540",
+		"code":"556"
+	},
+	{
+		"desc":"During cluster installation, Ranger fails to be started, and the error message \"ERROR: cannot drop sequence X_POLICY_REF_ACCESS_TYPE_SEQ \" is displayed in the task list o",
+		"product_code":"mrs",
+		"title":"Why Ranger Startup Fails During the Cluster Installation?",
+		"uri":"mrs_01_1867.html",
+		"doc_type":"cmpntguide",
+		"p_code":"556",
+		"code":"557"
+	},
+	{
+		"desc":"How do I determine whether the Ranger authentication is enabled for a service that supports the authentication?Log in to FusionInsight Manager and choose Cluster > Servic",
+		"product_code":"mrs",
+		"title":"How Do I Determine Whether the Ranger Authentication Is Used for a Service?",
+		"uri":"mrs_01_1868.html",
+		"doc_type":"cmpntguide",
+		"p_code":"556",
+		"code":"558"
+	},
+	{
+		"desc":"When a new user logs in to Ranger, why is the 401 error reported after the password is changed?The UserSync synchronizes user data at an interval of 5 minutes by default.",
+		"product_code":"mrs",
+		"title":"Why Cannot a New User Log In to Ranger After Changing the Password?",
+		"uri":"mrs_01_2300.html",
+		"doc_type":"cmpntguide",
+		"p_code":"556",
+		"code":"559"
+	},
+	{
+		"desc":"When a Ranger access permission policy is added for HBase and wildcard characters are used to search for an existing HBase table in the policy, the table cannot be found.",
+		"product_code":"mrs",
+		"title":"When an HBase Policy Is Added or Modified on Ranger, Wildcard Characters Cannot Be Used to Search for Existing HBase Tables",
+		"uri":"mrs_01_2355.html",
+		"doc_type":"cmpntguide",
+		"p_code":"556",
+		"code":"560"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using Spark",
+		"uri":"mrs_01_0589.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"561"
+	},
+	{
+		"desc":"This section applies to versions earlier than MRS 3.x.",
+		"product_code":"mrs",
+		"title":"Precautions",
+		"uri":"mrs_01_1925.html",
+		"doc_type":"cmpntguide",
+		"p_code":"561",
+		"code":"562"
+	},
+	{
+		"desc":"This section describes how to use Spark to submit a SparkPi job. SparkPi, a typical Spark job, is used to calculate the value of Pi (π).Multiple open-source Spark sample ",
+		"product_code":"mrs",
+		"title":"Getting Started with Spark",
+		"uri":"mrs_01_0366.html",
+		"doc_type":"cmpntguide",
+		"p_code":"561",
+		"code":"563"
+	},
+	{
+		"desc":"Spark provides the Spark SQL language that is similar to SQL to perform operations on structured data. This section describes how to use Spark SQL from scratch. Create a ",
+		"product_code":"mrs",
+		"title":"Getting Started with Spark SQL",
+		"uri":"mrs_01_0367.html",
+		"doc_type":"cmpntguide",
+		"p_code":"561",
+		"code":"564"
+	},
+	{
+		"desc":"After an MRS cluster is created, you can create and submit jobs on the client. The client can be installed on nodes inside or outside the cluster.Nodes inside the cluster",
+		"product_code":"mrs",
+		"title":"Using the Spark Client",
+		"uri":"mrs_01_1183.html",
+		"doc_type":"cmpntguide",
+		"p_code":"561",
+		"code":"565"
+	},
+	{
+		"desc":"The Spark web UI is used to view the running status of Spark applications. Google Chrome is recommended for better user experience.Spark has two web UIs.Spark UI: used to",
+		"product_code":"mrs",
+		"title":"Accessing the Spark Web UI",
+		"uri":"mrs_01_0767.html",
+		"doc_type":"cmpntguide",
+		"p_code":"561",
+		"code":"566"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Interconnecting Spark with OpenTSDB",
+		"uri":"mrs_01_0584.html",
+		"doc_type":"cmpntguide",
+		"p_code":"561",
+		"code":"567"
+	},
+	{
+		"desc":"MRS Spark can be used to access the data source of OpenTSDB, create and associate tables in the Spark, and query and insert the OpenTSDB data.Use the CREATE TABLE command",
+		"product_code":"mrs",
+		"title":"Creating a Table and Associating It with OpenTSDB",
+		"uri":"mrs_01_0585.html",
+		"doc_type":"cmpntguide",
+		"p_code":"567",
+		"code":"568"
+	},
+	{
+		"desc":"Run the INSERT INTO statement to insert the data in the table to the associated OpenTSDB metric.The inserted data cannot be null. If the inserted data is the same as the ",
+		"product_code":"mrs",
+		"title":"Inserting Data to the OpenTSDB Table",
+		"uri":"mrs_01_0586.html",
+		"doc_type":"cmpntguide",
+		"p_code":"567",
+		"code":"569"
+	},
+	{
+		"desc":"This SELECT command is used to query data in an OpenTSDB table.The to-be-queried table must exist. Otherwise, an error is reported.The value of tagv must exist. Otherwise",
+		"product_code":"mrs",
+		"title":"Querying an OpenTSDB Table",
+		"uri":"mrs_01_0587.html",
+		"doc_type":"cmpntguide",
+		"p_code":"567",
+		"code":"570"
+	},
+	{
+		"desc":"By default, OpenTSDB connects to the local TSD process of the node where the Spark executor resides. In MRS, use the default configuration.Run the set statement in spark-",
+		"product_code":"mrs",
+		"title":"Modifying the Default Configuration Data",
+		"uri":"mrs_01_0588.html",
+		"doc_type":"cmpntguide",
+		"p_code":"567",
+		"code":"571"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using Spark2x",
+		"uri":"mrs_01_1926.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"572"
+	},
+	{
+		"desc":"This section applies to MRS 3.x or later clusters.",
+		"product_code":"mrs",
+		"title":"Precautions",
+		"uri":"mrs_01_1927.html",
+		"doc_type":"cmpntguide",
+		"p_code":"572",
+		"code":"573"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Basic Operation",
+		"uri":"mrs_01_1928.html",
+		"doc_type":"cmpntguide",
+		"p_code":"572",
+		"code":"574"
+	},
+	{
+		"desc":"This section describes how to use Spark2x to submit Spark applications, including Spark Core and Spark SQL. Spark Core is the kernel module of Spark. It executes tasks an",
+		"product_code":"mrs",
+		"title":"Getting Started",
+		"uri":"mrs_01_1929.html",
+		"doc_type":"cmpntguide",
+		"p_code":"574",
+		"code":"575"
+	},
+	{
+		"desc":"This section describes how to quickly configure common parameters and lists parameters that are not recommended to be modified when Spark2x is used.Some parameters have b",
+		"product_code":"mrs",
+		"title":"Configuring Parameters Rapidly",
+		"uri":"mrs_01_1930.html",
+		"doc_type":"cmpntguide",
+		"p_code":"574",
+		"code":"576"
+	},
+	{
+		"desc":"This section describes common configuration items used in Spark. Subsections are divided by feature so that you can quickly find required configuration items. If you use ",
+		"product_code":"mrs",
+		"title":"Common Parameters",
+		"uri":"mrs_01_1931.html",
+		"doc_type":"cmpntguide",
+		"p_code":"574",
+		"code":"577"
+	},
+	{
+		"desc":"Spark on HBase allows users to query HBase tables in Spark SQL and to store data for HBase tables by using the Beeline tool. You can use HBase APIs to create, read data f",
+		"product_code":"mrs",
+		"title":"Spark on HBase Overview and Basic Applications",
+		"uri":"mrs_01_1933.html",
+		"doc_type":"cmpntguide",
+		"p_code":"574",
+		"code":"578"
+	},
+	{
+		"desc":"Spark on HBase V2 allows users to query HBase tables in Spark SQL and to store data for HBase tables by using the Beeline tool. You can use HBase APIs to create, read dat",
+		"product_code":"mrs",
+		"title":"Spark on HBase V2 Overview and Basic Applications",
+		"uri":"mrs_01_1934.html",
+		"doc_type":"cmpntguide",
+		"p_code":"574",
+		"code":"579"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"SparkSQL Permission Management(Security Mode)",
+		"uri":"mrs_01_1935.html",
+		"doc_type":"cmpntguide",
+		"p_code":"574",
+		"code":"580"
+	},
+	{
+		"desc":"Similar to Hive, Spark SQL is a data warehouse framework built on Hadoop, providing storage of structured data like structured query language (SQL).MRS supports users, us",
+		"product_code":"mrs",
+		"title":"Spark SQL Permissions",
+		"uri":"mrs_01_1936.html",
+		"doc_type":"cmpntguide",
+		"p_code":"580",
+		"code":"581"
+	},
+	{
+		"desc":"This section describes how to create and configure a SparkSQL role on Manager as the system administrator. The Spark SQL role can be configured with the Sparkadministrato",
+		"product_code":"mrs",
+		"title":"Creating a Spark SQL Role",
+		"uri":"mrs_01_1937.html",
+		"doc_type":"cmpntguide",
+		"p_code":"580",
+		"code":"582"
+	},
+	{
+		"desc":"You can configure related permissions if you need to access tables or databases created by other users. SparkSQL supports column-based permission control. If a user needs",
+		"product_code":"mrs",
+		"title":"Configuring Permissions for SparkSQL Tables, Columns, and Databases",
+		"uri":"mrs_01_1938.html",
+		"doc_type":"cmpntguide",
+		"p_code":"580",
+		"code":"583"
+	},
+	{
+		"desc":"SparkSQL may need to be associated with other components. For example, Spark on HBase requires HBase permissions. The following describes how to associate SparkSQL with H",
+		"product_code":"mrs",
+		"title":"Configuring Permissions for SparkSQL to Use Other Components",
+		"uri":"mrs_01_1939.html",
+		"doc_type":"cmpntguide",
+		"p_code":"580",
+		"code":"584"
+	},
+	{
+		"desc":"This section describes how to configure SparkSQL permission management functions (client configuration is similar to server configuration). To enable table permission, ad",
+		"product_code":"mrs",
+		"title":"Configuring the Client and Server",
+		"uri":"mrs_01_1940.html",
+		"doc_type":"cmpntguide",
+		"p_code":"580",
+		"code":"585"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Scenario-Specific Configuration",
+		"uri":"mrs_01_1941.html",
+		"doc_type":"cmpntguide",
+		"p_code":"574",
+		"code":"586"
+	},
+	{
+		"desc":"In this mode, multiple ThriftServers coexist in the cluster and the client can randomly connect any ThriftServer to perform service operations. When one or multiple Thrif",
+		"product_code":"mrs",
+		"title":"Configuring Multi-active Instance Mode",
+		"uri":"mrs_01_1942.html",
+		"doc_type":"cmpntguide",
+		"p_code":"586",
+		"code":"587"
+	},
+	{
+		"desc":"In multi-tenant mode, JDBCServers are bound with tenants. Each tenant corresponds to one or more JDBCServers, and a JDBCServer provides services for only one tenant. Diff",
+		"product_code":"mrs",
+		"title":"Configuring the Multi-tenant Mode",
+		"uri":"mrs_01_1943.html",
+		"doc_type":"cmpntguide",
+		"p_code":"586",
+		"code":"588"
+	},
+	{
+		"desc":"When using a cluster, if you want to switch between multi-active instance mode and multi-tenant mode, the following configurations are required.Switch from multi-tenant m",
+		"product_code":"mrs",
+		"title":"Configuring the Switchover Between the Multi-active Instance Mode and the Multi-tenant Mode",
+		"uri":"mrs_01_1944.html",
+		"doc_type":"cmpntguide",
+		"p_code":"586",
+		"code":"589"
+	},
+	{
+		"desc":"Functions such as UI, EventLog, and dynamic resource scheduling in Spark are implemented through event transfer. Events include SparkListenerJobStart and SparkListenerJob",
+		"product_code":"mrs",
+		"title":"Configuring the Size of the Event Queue",
+		"uri":"mrs_01_1945.html",
+		"doc_type":"cmpntguide",
+		"p_code":"586",
+		"code":"590"
+	},
+	{
+		"desc":"When the executor off-heap memory is too small, or processes with higher priority preempt resources, the physical memory usage will exceed the maximal value. To prevent t",
+		"product_code":"mrs",
+		"title":"Configuring Executor Off-Heap Memory",
+		"uri":"mrs_01_1947.html",
+		"doc_type":"cmpntguide",
+		"p_code":"586",
+		"code":"591"
+	},
+	{
+		"desc":"A large amount of memory is required when Spark SQL executes a query, especially during Aggregate and Join operations. If the memory is limited, OutOfMemoryError may occu",
+		"product_code":"mrs",
+		"title":"Enhancing Stability in a Limited Memory Condition",
+		"uri":"mrs_01_1948.html",
+		"doc_type":"cmpntguide",
+		"p_code":"586",
+		"code":"592"
+	},
+	{
+		"desc":"When yarn.log-aggregation-enable of Yarn is set to true, the container log aggregation function is enabled. Log aggregation indicates that after applications are run on Y",
+		"product_code":"mrs",
+		"title":"Viewing Aggregated Container Logs on the Web UI",
+		"uri":"mrs_01_1949.html",
+		"doc_type":"cmpntguide",
+		"p_code":"586",
+		"code":"593"
+	},
+	{
+		"desc":"Values of some configuration parameters of Spark client vary depending on its work mode (YARN-Client or YARN-Cluster). If you switch Spark client between different modes ",
+		"product_code":"mrs",
+		"title":"Configuring Environment Variables in Yarn-Client and Yarn-Cluster Modes",
+		"uri":"mrs_01_1951.html",
+		"doc_type":"cmpntguide",
+		"p_code":"586",
+		"code":"594"
+	},
+	{
+		"desc":"By default, SparkSQL divides data into 200 data blocks during shuffle. In data-intensive scenarios, each data block may have excessive size. If a single data block of a t",
+		"product_code":"mrs",
+		"title":"Configuring the Default Number of Data Blocks Divided by SparkSQL",
+		"uri":"mrs_01_1952.html",
+		"doc_type":"cmpntguide",
+		"p_code":"586",
+		"code":"595"
+	},
+	{
+		"desc":"The compression format of a Parquet table can be configured as follows:If the Parquet table is a partitioned one, set the parquet.compression parameter of the Parquet tab",
+		"product_code":"mrs",
+		"title":"Configuring the Compression Format of a Parquet Table",
+		"uri":"mrs_01_1953.html",
+		"doc_type":"cmpntguide",
+		"p_code":"586",
+		"code":"596"
+	},
+	{
+		"desc":"In Spark WebUI, the Executor page can display information about Lost Executor. Executors are dynamically recycled. If the JDBCServer tasks are large, there may be too man",
+		"product_code":"mrs",
+		"title":"Configuring the Number of Lost Executors Displayed in WebUI",
+		"uri":"mrs_01_1954.html",
+		"doc_type":"cmpntguide",
+		"p_code":"586",
+		"code":"597"
+	},
+	{
+		"desc":"In some scenarios, to locate problems or check information by changing the log level,you can add the -Dlog4j.configuration.watch=true parameter to the JVM parameter of a ",
+		"product_code":"mrs",
+		"title":"Setting the Log Level Dynamically",
+		"uri":"mrs_01_1957.html",
+		"doc_type":"cmpntguide",
+		"p_code":"586",
+		"code":"598"
+	},
+	{
+		"desc":"When Spark is used to submit tasks, the driver obtains tokens from HBase by default. To access HBase, you need to configure the jaas.conf file for security authentication",
+		"product_code":"mrs",
+		"title":"Configuring Whether Spark Obtains HBase Tokens",
+		"uri":"mrs_01_1958.html",
+		"doc_type":"cmpntguide",
+		"p_code":"586",
+		"code":"599"
+	},
+	{
+		"desc":"If the Spark Streaming application is connected to Kafka, after the Spark Streaming application is terminated abnormally and restarted from the checkpoint, the system pre",
+		"product_code":"mrs",
+		"title":"Configuring LIFO for Kafka",
+		"uri":"mrs_01_1959.html",
+		"doc_type":"cmpntguide",
+		"p_code":"586",
+		"code":"600"
+	},
+	{
+		"desc":"When the Spark Streaming application is connected to Kafka and the application is restarted, the application reads data from Kafka based on the last read topic offset and",
+		"product_code":"mrs",
+		"title":"Configuring Reliability for Connected Kafka",
+		"uri":"mrs_01_1960.html",
+		"doc_type":"cmpntguide",
+		"p_code":"586",
+		"code":"601"
+	},
+	{
+		"desc":"When a query statement is executed, the returned result may be large (containing more than 100,000 records). In this case, JDBCServer out of memory (OOM) may occur. There",
+		"product_code":"mrs",
+		"title":"Configuring Streaming Reading of Driver Execution Results",
+		"uri":"mrs_01_1961.html",
+		"doc_type":"cmpntguide",
+		"p_code":"586",
+		"code":"602"
+	},
+	{
+		"desc":"When you perform the select query in Hive partitioned tables, the FileNotFoundException exception is displayed if a specified partition path does not exist in HDFS. To av",
+		"product_code":"mrs",
+		"title":"Filtering Partitions without Paths in Partitioned Tables",
+		"uri":"mrs_01_1962.html",
+		"doc_type":"cmpntguide",
+		"p_code":"586",
+		"code":"603"
+	},
+	{
+		"desc":"Users need to implement security protection for Spark2x web UI when some data on the UI cannot be viewed by other users. Once a user attempts to log in to the UI, Spark2x",
+		"product_code":"mrs",
+		"title":"Configuring Spark2x Web UI ACLs",
+		"uri":"mrs_01_1963.html",
+		"doc_type":"cmpntguide",
+		"p_code":"586",
+		"code":"604"
+	},
+	{
+		"desc":"ORC is a column-based storage format in the Hadoop ecosystem. It originates from Apache Hive and is used to reduce the Hadoop data storage space and accelerate the Hive q",
+		"product_code":"mrs",
+		"title":"Configuring Vector-based ORC Data Reading",
+		"uri":"mrs_01_1964.html",
+		"doc_type":"cmpntguide",
+		"p_code":"586",
+		"code":"605"
+	},
+	{
+		"desc":"In earlier versions, the predicate for pruning Hive table partitions is pushed down. Only comparison expressions between column names and integers or character strings ca",
+		"product_code":"mrs",
+		"title":"Broaden Support for Hive Partition Pruning Predicate Pushdown",
+		"uri":"mrs_01_1965.html",
+		"doc_type":"cmpntguide",
+		"p_code":"586",
+		"code":"606"
+	},
+	{
+		"desc":"In earlier versions, when the insert overwrite syntax is used to overwrite partition tables, only partitions with specified expressions are matched, and partitions withou",
+		"product_code":"mrs",
+		"title":"Hive Dynamic Partition Overwriting Syntax",
+		"uri":"mrs_01_1966.html",
+		"doc_type":"cmpntguide",
+		"p_code":"586",
+		"code":"607"
+	},
+	{
+		"desc":"The execution plan for SQL statements is optimized in Spark. Common optimization rules are heuristic optimization rules. Heuristic optimization rules are provided based o",
+		"product_code":"mrs",
+		"title":"Configuring the Column Statistics Histogram to Enhance the CBO Accuracy",
+		"uri":"mrs_01_1967.html",
+		"doc_type":"cmpntguide",
+		"p_code":"586",
+		"code":"608"
+	},
+	{
+		"desc":"JobHistory can use local disks to cache the historical data of Spark applications to prevent the JobHistory memory from loading a large amount of application data, reduci",
+		"product_code":"mrs",
+		"title":"Configuring Local Disk Cache for JobHistory",
+		"uri":"mrs_01_1969.html",
+		"doc_type":"cmpntguide",
+		"p_code":"586",
+		"code":"609"
+	},
+	{
+		"desc":"The Spark SQL adaptive execution feature enables Spark SQL to optimize subsequent execution processes based on intermediate results to improve overall execution efficienc",
+		"product_code":"mrs",
+		"title":"Configuring Spark SQL to Enable the Adaptive Execution Feature",
+		"uri":"mrs_01_1970.html",
+		"doc_type":"cmpntguide",
+		"p_code":"586",
+		"code":"610"
+	},
+	{
+		"desc":"When the event log mode is enabled for Spark, that is, spark.eventLog.enabled is set to true, events are written to a configured log file to record the program running pr",
+		"product_code":"mrs",
+		"title":"Configuring Event Log Rollover",
+		"uri":"mrs_01_24170.html",
+		"doc_type":"cmpntguide",
+		"p_code":"586",
+		"code":"611"
+	},
+	{
+		"desc":"When Ranger is used as the permission management service of Spark SQL, the certificate in the cluster is required for accessing RangerAdmin. If you use a third-party JDK ",
+		"product_code":"mrs",
+		"title":"Adapting to the Third-party JDK When Ranger Is Used",
+		"uri":"mrs_01_2317.html",
+		"doc_type":"cmpntguide",
+		"p_code":"574",
+		"code":"612"
+	},
+	{
+		"desc":"Log paths:Executor run log: ${BIGDATA_DATA_HOME}/hadoop/data${i}/nm/containerlogs/application_${appid}/container_{$contid}The logs of running tasks are stored in the prec",
+		"product_code":"mrs",
+		"title":"Spark2x Logs",
+		"uri":"mrs_01_1971.html",
+		"doc_type":"cmpntguide",
+		"p_code":"572",
+		"code":"613"
+	},
+	{
+		"desc":"Container logs of running Spark applications are distributed on multiple nodes. This section describes how to quickly obtain container logs.You can run the yarn logs comm",
+		"product_code":"mrs",
+		"title":"Obtaining Container Logs of a Running Spark Application",
+		"uri":"mrs_01_1972.html",
+		"doc_type":"cmpntguide",
+		"p_code":"572",
+		"code":"614"
+	},
+	{
+		"desc":"In a large-scale Hadoop production cluster, HDFS metadata is stored in the NameNode memory, and the cluster scale is restricted by the memory limitation of each NameNode.",
+		"product_code":"mrs",
+		"title":"Small File Combination Tools",
+		"uri":"mrs_01_1973.html",
+		"doc_type":"cmpntguide",
+		"p_code":"572",
+		"code":"615"
+	},
+	{
+		"desc":"The first query of CarbonData is slow, which may cause a delay for nodes that have high requirements on real-time performance.The tool provides the following functions:Pr",
+		"product_code":"mrs",
+		"title":"Using CarbonData for First Query",
+		"uri":"mrs_01_2362.html",
+		"doc_type":"cmpntguide",
+		"p_code":"572",
+		"code":"616"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Spark2x Performance Tuning",
+		"uri":"mrs_01_1974.html",
+		"doc_type":"cmpntguide",
+		"p_code":"572",
+		"code":"617"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Spark Core Tuning",
+		"uri":"mrs_01_1975.html",
+		"doc_type":"cmpntguide",
+		"p_code":"617",
+		"code":"618"
+	},
+	{
+		"desc":"Spark supports the following types of serialization:JavaSerializerKryoSerializerData serialization affects the Spark application performance. In specific data format, Kry",
+		"product_code":"mrs",
+		"title":"Data Serialization",
+		"uri":"mrs_01_1976.html",
+		"doc_type":"cmpntguide",
+		"p_code":"618",
+		"code":"619"
+	},
+	{
+		"desc":"Spark is a memory-based computing frame. If the memory is insufficient during computing, the Spark execution efficiency will be adversely affected. You can determine whet",
+		"product_code":"mrs",
+		"title":"Optimizing Memory Configuration",
+		"uri":"mrs_01_1977.html",
+		"doc_type":"cmpntguide",
+		"p_code":"618",
+		"code":"620"
+	},
+	{
+		"desc":"The degree of parallelism (DOP) specifies the number of tasks to be executed concurrently. It determines the number of data blocks after the shuffle operation. Configure ",
+		"product_code":"mrs",
+		"title":"Setting the DOP",
+		"uri":"mrs_01_1978.html",
+		"doc_type":"cmpntguide",
+		"p_code":"618",
+		"code":"621"
+	},
+	{
+		"desc":"Broadcast distributes data sets to each node. It allows data to be obtained locally when a data set is needed during a Spark task. If broadcast is not used, data serializ",
+		"product_code":"mrs",
+		"title":"Using Broadcast Variables",
+		"uri":"mrs_01_1979.html",
+		"doc_type":"cmpntguide",
+		"p_code":"618",
+		"code":"622"
+	},
+	{
+		"desc":"When the Spark system runs applications that contain a shuffle process, an executor process also writes shuffle data and provides shuffle data for other executors in addi",
+		"product_code":"mrs",
+		"title":"Using the external shuffle service to improve performance",
+		"uri":"mrs_01_1980.html",
+		"doc_type":"cmpntguide",
+		"p_code":"618",
+		"code":"623"
+	},
+	{
+		"desc":"Resources are a key factor that affects Spark execution efficiency. When a long-running service (such as the JDBCServer) is allocated with multiple executors without task",
+		"product_code":"mrs",
+		"title":"Configuring Dynamic Resource Scheduling in Yarn Mode",
+		"uri":"mrs_01_1981.html",
+		"doc_type":"cmpntguide",
+		"p_code":"618",
+		"code":"624"
+	},
+	{
+		"desc":"There are three processes in Spark on Yarn mode: driver, ApplicationMaster, and executor. The Driver and Executor handle the scheduling and running of the task. The Appli",
+		"product_code":"mrs",
+		"title":"Configuring Process Parameters",
+		"uri":"mrs_01_1982.html",
+		"doc_type":"cmpntguide",
+		"p_code":"618",
+		"code":"625"
+	},
+	{
+		"desc":"Optimal program structure helps increase execution efficiency. During application programming, avoid shuffle operations and combine narrow-dependency operations.This topi",
+		"product_code":"mrs",
+		"title":"Designing the Direction Acyclic Graph (DAG)",
+		"uri":"mrs_01_1983.html",
+		"doc_type":"cmpntguide",
+		"p_code":"618",
+		"code":"626"
+	},
+	{
+		"desc":"If the overhead of each record is high, for example:Use mapPartitions to calculate data by partition.Use mapPartitions to flexibly operate data. For example, to calculate",
+		"product_code":"mrs",
+		"title":"Experience",
+		"uri":"mrs_01_1984.html",
+		"doc_type":"cmpntguide",
+		"p_code":"618",
+		"code":"627"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Spark SQL and DataFrame Tuning",
+		"uri":"mrs_01_1985.html",
+		"doc_type":"cmpntguide",
+		"p_code":"617",
+		"code":"628"
+	},
+	{
+		"desc":"When two tables are joined in Spark SQL, the broadcast function (see section \"Using Broadcast Variables\") can be used to broadcast tables to each node. This minimizes shu",
+		"product_code":"mrs",
+		"title":"Optimizing the Spark SQL Join Operation",
+		"uri":"mrs_01_1986.html",
+		"doc_type":"cmpntguide",
+		"p_code":"628",
+		"code":"629"
+	},
+	{
+		"desc":"When multiple tables are joined in Spark SQL, skew occurs in join keys and the data volume in some Hash buckets is much higher than that in other buckets. As a result, so",
+		"product_code":"mrs",
+		"title":"Improving Spark SQL Calculation Performance Under Data Skew",
+		"uri":"mrs_01_1987.html",
+		"doc_type":"cmpntguide",
+		"p_code":"628",
+		"code":"630"
+	},
+	{
+		"desc":"A Spark SQL table may have many small files (far smaller than an HDFS block), each of which maps to a partition on the Spark by default. In other words, each small file i",
+		"product_code":"mrs",
+		"title":"Optimizing Spark SQL Performance in the Small File Scenario",
+		"uri":"mrs_01_1988.html",
+		"doc_type":"cmpntguide",
+		"p_code":"628",
+		"code":"631"
+	},
+	{
+		"desc":"The INSERT...SELECT operation needs to be optimized if any of the following conditions is true:Many small files need to be queried.A few large files need to be queried.Th",
+		"product_code":"mrs",
+		"title":"Optimizing the INSERT...SELECT Operation",
+		"uri":"mrs_01_1989.html",
+		"doc_type":"cmpntguide",
+		"p_code":"628",
+		"code":"632"
+	},
+	{
+		"desc":"Multiple clients can be connected to JDBCServer at the same time. However, if the number of concurrent tasks is too large, the default configuration of JDBCServer must be",
+		"product_code":"mrs",
+		"title":"Multiple JDBC Clients Concurrently Connecting to JDBCServer",
+		"uri":"mrs_01_1990.html",
+		"doc_type":"cmpntguide",
+		"p_code":"628",
+		"code":"633"
+	},
+	{
+		"desc":"When SparkSQL inserts data to dynamic partitioned tables, the more partitions there are, the more HDFS files a single task generates and the more memory metadata occupies",
+		"product_code":"mrs",
+		"title":"Optimizing Memory when Data Is Inserted into Dynamic Partitioned Tables",
+		"uri":"mrs_01_1992.html",
+		"doc_type":"cmpntguide",
+		"p_code":"628",
+		"code":"634"
+	},
+	{
+		"desc":"A Spark SQL table may have many small files (far smaller than an HDFS block), each of which maps to a partition on the Spark by default. In other words, each small file i",
+		"product_code":"mrs",
+		"title":"Optimizing Small Files",
+		"uri":"mrs_01_1995.html",
+		"doc_type":"cmpntguide",
+		"p_code":"628",
+		"code":"635"
+	},
+	{
+		"desc":"Spark SQL supports hash aggregate algorithm. Namely, use fast aggregate hashmap as cache to improve aggregate performance. The hashmap replaces the previous ColumnarBatch",
+		"product_code":"mrs",
+		"title":"Optimizing the Aggregate Algorithms",
+		"uri":"mrs_01_1996.html",
+		"doc_type":"cmpntguide",
+		"p_code":"628",
+		"code":"636"
+	},
+	{
+		"desc":"Save the partition information about the datasource table to the Metastore and process partition information in the Metastore.Optimize the datasource tables, support synt",
+		"product_code":"mrs",
+		"title":"Optimizing Datasource Tables",
+		"uri":"mrs_01_1997.html",
+		"doc_type":"cmpntguide",
+		"p_code":"628",
+		"code":"637"
+	},
+	{
+		"desc":"Spark SQL supports rule-based optimization by default. However, the rule-based optimization cannot ensure that Spark selects the optimal query plan. Cost-Based Optimizer ",
+		"product_code":"mrs",
+		"title":"Merging CBO",
+		"uri":"mrs_01_1998.html",
+		"doc_type":"cmpntguide",
+		"p_code":"628",
+		"code":"638"
+	},
+	{
+		"desc":"This section describes how to enable or disable the query optimization for inter-source complex SQL.(Optional) Prepare for connecting to the MPPDB data source.If the data",
+		"product_code":"mrs",
+		"title":"Optimizing SQL Query of Data of Multiple Sources",
+		"uri":"mrs_01_1999.html",
+		"doc_type":"cmpntguide",
+		"p_code":"628",
+		"code":"639"
+	},
+	{
+		"desc":"This section describes the optimization suggestions for SQL statements in multi-level nesting and hybrid join scenarios.The following provides an example of complex query",
+		"product_code":"mrs",
+		"title":"SQL Optimization for Multi-level Nesting and Hybrid Join",
+		"uri":"mrs_01_2000.html",
+		"doc_type":"cmpntguide",
+		"p_code":"628",
+		"code":"640"
+	},
+	{
+		"desc":"Streaming is a mini-batch streaming processing framework that features second-level delay and high throughput. To optimize Streaming is to improve its throughput while ma",
+		"product_code":"mrs",
+		"title":"Spark Streaming Tuning",
+		"uri":"mrs_01_2001.html",
+		"doc_type":"cmpntguide",
+		"p_code":"617",
+		"code":"641"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Common Issues About Spark2x",
+		"uri":"mrs_01_2002.html",
+		"doc_type":"cmpntguide",
+		"p_code":"572",
+		"code":"642"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Spark Core",
+		"uri":"mrs_01_2003.html",
+		"doc_type":"cmpntguide",
+		"p_code":"642",
+		"code":"643"
+	},
+	{
+		"desc":"How do I view the aggregated container logs on the page when the log aggregation function is enabled on YARN?For details, see Viewing Aggregated Container Logs on the Web",
+		"product_code":"mrs",
+		"title":"How Do I View Aggregated Spark Application Logs?",
+		"uri":"mrs_01_2004.html",
+		"doc_type":"cmpntguide",
+		"p_code":"643",
+		"code":"644"
+	},
+	{
+		"desc":"Communication between ApplicationMaster and ResourceManager remains abnormal for a long time. Why is the driver return code inconsistent with application status on Resour",
+		"product_code":"mrs",
+		"title":"Why Is the Return Code of Driver Inconsistent with Application State Displayed on ResourceManager WebUI?",
+		"uri":"mrs_01_2005.html",
+		"doc_type":"cmpntguide",
+		"p_code":"643",
+		"code":"645"
+	},
+	{
+		"desc":"Why cannot exit the Driver process after running the yarn application -kill applicationID command to stop the Spark Streaming application?Running the yarn application -ki",
+		"product_code":"mrs",
+		"title":"Why Cannot Exit the Driver Process?",
+		"uri":"mrs_01_2006.html",
+		"doc_type":"cmpntguide",
+		"p_code":"643",
+		"code":"646"
+	},
+	{
+		"desc":"On a large cluster of 380 nodes, run the ScalaSort test case in the HiBench test that runs the 29T data, and configure Executor as --executor-cores 4. The following abnor",
+		"product_code":"mrs",
+		"title":"Why Does FetchFailedException Occur When the Network Connection Is Timed out",
+		"uri":"mrs_01_2007.html",
+		"doc_type":"cmpntguide",
+		"p_code":"643",
+		"code":"647"
+	},
+	{
+		"desc":"How to configure the event queue size if the following Driver log information is displayed indicating that the event queue overflows?Common applicationsDropping SparkList",
+		"product_code":"mrs",
+		"title":"How to Configure Event Queue Size If Event Queue Overflows?",
+		"uri":"mrs_01_2008.html",
+		"doc_type":"cmpntguide",
+		"p_code":"643",
+		"code":"648"
+	},
+	{
+		"desc":"During Spark application execution, if the driver fails to connect to ResourceManager, the following error is reported and it does not exit for a long time. What can I do",
+		"product_code":"mrs",
+		"title":"What Can I Do If the getApplicationReport Exception Is Recorded in Logs During Spark Application Execution and the Application Does Not Exit for a Long Time?",
+		"uri":"mrs_01_2009.html",
+		"doc_type":"cmpntguide",
+		"p_code":"643",
+		"code":"649"
+	},
+	{
+		"desc":"When Spark executes an application, an error similar to the following is reported and the application ends. What can I do?Symptom: The value of spark.rpc.io.connectionTim",
+		"product_code":"mrs",
+		"title":"What Can I Do If \"Connection to ip:port has been quiet for xxx ms while there are outstanding requests\" Is Reported When Spark Executes an Application and the Application Ends?",
+		"uri":"mrs_01_2010.html",
+		"doc_type":"cmpntguide",
+		"p_code":"643",
+		"code":"650"
+	},
+	{
+		"desc":"If the NodeManager is shut down with the Executor dynamic allocation enabled, the Executors on the node where the NodeManeger is shut down fail to be removed from the dri",
+		"product_code":"mrs",
+		"title":"Why Do Executors Fail to be Removed After the NodeManeger Is Shut Down?",
+		"uri":"mrs_01_2011.html",
+		"doc_type":"cmpntguide",
+		"p_code":"643",
+		"code":"651"
+	},
+	{
+		"desc":"ExternalShuffle is enabled for the application that runs Spark. Task loss occurs in the application because the message \"java.lang.NullPointerException: Password cannot b",
+		"product_code":"mrs",
+		"title":"What Can I Do If the Message \"Password cannot be null if SASL is enabled\" Is Displayed?",
+		"uri":"mrs_01_2012.html",
+		"doc_type":"cmpntguide",
+		"p_code":"643",
+		"code":"652"
+	},
+	{
+		"desc":"When inserting data into the dynamic partition table, a large number of shuffle files are damaged due to the disk disconnection, node error, and the like. In this case, w",
+		"product_code":"mrs",
+		"title":"What Should I Do If the Message \"Failed to CREATE_FILE\" Is Displayed in the Restarted Tasks When Data Is Inserted Into the Dynamic Partition Table?",
+		"uri":"mrs_01_2013.html",
+		"doc_type":"cmpntguide",
+		"p_code":"643",
+		"code":"653"
+	},
+	{
+		"desc":"When Hash shuffle is used to run a job that consists of 1000000 map tasks x 100000 reduce tasks, run logs report many message failures and Executor heartbeat timeout, lea",
+		"product_code":"mrs",
+		"title":"Why Tasks Fail When Hash Shuffle Is Used?",
+		"uri":"mrs_01_2014.html",
+		"doc_type":"cmpntguide",
+		"p_code":"643",
+		"code":"654"
+	},
+	{
+		"desc":"When the http(s)://<spark ip>:<spark port> mode is used to access the Spark JobHistory page, if the displayed Spark JobHistory page is not the page of FusionInsight Manag",
+		"product_code":"mrs",
+		"title":"What Can I Do If the Error Message \"DNS query failed\" Is Displayed When I Access the Aggregated Logs Page of Spark Applications?",
+		"uri":"mrs_01_2015.html",
+		"doc_type":"cmpntguide",
+		"p_code":"643",
+		"code":"655"
+	},
+	{
+		"desc":"When I execute a 100 TB TPC-DS test suite in the JDBCServer mode, the \"Timeout waiting for task\" is displayed. As a result, shuffle fetch fails, the stage keeps retrying,",
+		"product_code":"mrs",
+		"title":"What Can I Do If Shuffle Fetch Fails Due to the \"Timeout Waiting for Task\" Exception?",
+		"uri":"mrs_01_2016.html",
+		"doc_type":"cmpntguide",
+		"p_code":"643",
+		"code":"656"
+	},
+	{
+		"desc":"When I run Spark tasks with a large data volume, for example, 100 TB TPCDS test suite, why does the Stage retry due to Executor loss sometimes? The message \"Executor 532 ",
+		"product_code":"mrs",
+		"title":"Why Does the Stage Retry due to the Crash of the Executor?",
+		"uri":"mrs_01_2017.html",
+		"doc_type":"cmpntguide",
+		"p_code":"643",
+		"code":"657"
+	},
+	{
+		"desc":"When more than 50 terabytes of data is shuffled, some executors fail to register shuffle services due to timeout. The shuffle tasks then fail. Why? The error log is as fo",
+		"product_code":"mrs",
+		"title":"Why Do the Executors Fail to Register Shuffle Services During the Shuffle of a Large Amount of Data?",
+		"uri":"mrs_01_2018.html",
+		"doc_type":"cmpntguide",
+		"p_code":"643",
+		"code":"658"
+	},
+	{
+		"desc":"During the execution of Spark applications, if the YARN External Shuffle service is enabled and there are too many shuffle tasks, the java.lang.OutofMemoryError: Direct b",
+		"product_code":"mrs",
+		"title":"Why Does the Out of Memory Error Occur in NodeManager During the Execution of Spark Applications",
+		"uri":"mrs_01_2019.html",
+		"doc_type":"cmpntguide",
+		"p_code":"643",
+		"code":"659"
+	},
+	{
+		"desc":"Execution of the sparkbench task (for example, Wordcount) of HiBench6 fails. The bench.log indicates that the Yarn task fails to be executed. The failure information disp",
+		"product_code":"mrs",
+		"title":"Why Does the Realm Information Fail to Be Obtained When SparkBench is Run on HiBench for the Cluster in Security Mode?",
+		"uri":"mrs_01_2021.html",
+		"doc_type":"cmpntguide",
+		"p_code":"643",
+		"code":"660"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Spark SQL and DataFrame",
+		"uri":"mrs_01_2022.html",
+		"doc_type":"cmpntguide",
+		"p_code":"642",
+		"code":"661"
+	},
+	{
+		"desc":"Suppose that there is a table src(d1, d2, m) with the following data:The results for statement \"select d1, sum(d1) from src group by d1, d2 with rollup\" are shown as belo",
+		"product_code":"mrs",
+		"title":"What Do I have to Note When Using Spark SQL ROLLUP and CUBE?",
+		"uri":"mrs_01_2023.html",
+		"doc_type":"cmpntguide",
+		"p_code":"661",
+		"code":"662"
+	},
+	{
+		"desc":"Why temporary tables of the previous database are displayed after the database is switched?Create a temporary DataSource table, for example:create temporary table ds_parq",
+		"product_code":"mrs",
+		"title":"Why Spark SQL Is Displayed as a Temporary Table in Different Databases?",
+		"uri":"mrs_01_2024.html",
+		"doc_type":"cmpntguide",
+		"p_code":"661",
+		"code":"663"
+	},
+	{
+		"desc":"Is it possible to assign parameter values through Spark commands, in addition to through a user interface or a configuration file?Spark configuration options can be defin",
+		"product_code":"mrs",
+		"title":"How to Assign a Parameter Value in a Spark Command?",
+		"uri":"mrs_01_2025.html",
+		"doc_type":"cmpntguide",
+		"p_code":"661",
+		"code":"664"
+	},
+	{
+		"desc":"The following error information is displayed when a new user creates a table using SparkSQL:When you create a table using Spark SQL, the interface of Hive is called by th",
+		"product_code":"mrs",
+		"title":"What Directory Permissions Do I Need to Create a Table Using SparkSQL?",
+		"uri":"mrs_01_2026.html",
+		"doc_type":"cmpntguide",
+		"p_code":"661",
+		"code":"665"
+	},
+	{
+		"desc":"Why do I fail to delete the UDF using another service, for example, delete the UDF created by Hive using Spark SQL.The UDF can be created using any of the following servi",
+		"product_code":"mrs",
+		"title":"Why Do I Fail to Delete the UDF Using Another Service?",
+		"uri":"mrs_01_2027.html",
+		"doc_type":"cmpntguide",
+		"p_code":"661",
+		"code":"666"
+	},
+	{
+		"desc":"Why cannot I query newly inserted data in a parquet Hive table using SparkSQL? This problem occurs in the following scenarios:For partitioned tables and non-partitioned t",
+		"product_code":"mrs",
+		"title":"Why Cannot I Query Newly Inserted Data in a Parquet Hive Table Using SparkSQL?",
+		"uri":"mrs_01_2028.html",
+		"doc_type":"cmpntguide",
+		"p_code":"661",
+		"code":"667"
+	},
+	{
+		"desc":"What is cache table used for? Which point should I pay attention to while using cache table?Spark SQL caches tables into memory so that data can be directly read from mem",
+		"product_code":"mrs",
+		"title":"How to Use Cache Table?",
+		"uri":"mrs_01_2029.html",
+		"doc_type":"cmpntguide",
+		"p_code":"661",
+		"code":"668"
+	},
+	{
+		"desc":"During the repartition operation, the number of blocks (spark.sql.shuffle.partitions) is set to 4,500, and the number of keys used by repartition exceeds 4,000. It is exp",
+		"product_code":"mrs",
+		"title":"Why Are Some Partitions Empty During Repartition?",
+		"uri":"mrs_01_2030.html",
+		"doc_type":"cmpntguide",
+		"p_code":"661",
+		"code":"669"
+	},
+	{
+		"desc":"When the default configuration is used, 16 terabytes of text data fails to be converted into 4 terabytes of parquet data, and the error information below is displayed. Wh",
+		"product_code":"mrs",
+		"title":"Why Does 16 Terabytes of Text Data Fails to Be Converted into 4 Terabytes of Parquet Data?",
+		"uri":"mrs_01_2031.html",
+		"doc_type":"cmpntguide",
+		"p_code":"661",
+		"code":"670"
+	},
+	{
+		"desc":"When the table name is set to table, why the error information similar to the following is displayed after the drop table table command or other command is run?The word t",
+		"product_code":"mrs",
+		"title":"Why the Operation Fails When the Table Name Is TABLE?",
+		"uri":"mrs_01_2033.html",
+		"doc_type":"cmpntguide",
+		"p_code":"661",
+		"code":"671"
+	},
+	{
+		"desc":"When the analyze table statement is executed using spark-sql, the task is suspended and the information below is displayed. Why?When the statement is executed, the SQL st",
+		"product_code":"mrs",
+		"title":"Why Is a Task Suspended When the ANALYZE TABLE Statement Is Executed and Resources Are Insufficient?",
+		"uri":"mrs_01_2034.html",
+		"doc_type":"cmpntguide",
+		"p_code":"661",
+		"code":"672"
+	},
+	{
+		"desc":"If I access a parquet table on which I do not have permission, why a job is run before \"Missing Privileges\" is displayed?The execution sequence of Spark SQL statement par",
+		"product_code":"mrs",
+		"title":"If I Access a parquet Table on Which I Do not Have Permission, Why a Job Is Run Before \"Missing Privileges\" Is Displayed?",
+		"uri":"mrs_01_2035.html",
+		"doc_type":"cmpntguide",
+		"p_code":"661",
+		"code":"673"
+	},
+	{
+		"desc":"When do I fail to modify the metadata in the datasource and Spark on HBase table by running the Hive command?The current Spark version does not support modifying the meta",
+		"product_code":"mrs",
+		"title":"Why Do I Fail to Modify MetaData by Running the Hive Command?",
+		"uri":"mrs_01_2036.html",
+		"doc_type":"cmpntguide",
+		"p_code":"661",
+		"code":"674"
+	},
+	{
+		"desc":"After successfully running Spark tasks with large data volume, for example, 2-TB TPCDS test suite, why is the abnormal stack information \"RejectedExecutionException\" disp",
+		"product_code":"mrs",
+		"title":"Why Is \"RejectedExecutionException\" Displayed When I Exit Spark SQL?",
+		"uri":"mrs_01_2037.html",
+		"doc_type":"cmpntguide",
+		"p_code":"661",
+		"code":"675"
+	},
+	{
+		"desc":"During a health check, if the concurrent statements exceed the threshold of the thread pool, the health check statements fail to be executed, the health check program tim",
+		"product_code":"mrs",
+		"title":"What Should I Do If the JDBCServer Process is Mistakenly Killed During a Health Check?",
+		"uri":"mrs_01_2038.html",
+		"doc_type":"cmpntguide",
+		"p_code":"661",
+		"code":"676"
+	},
+	{
+		"desc":"Why no result is found when 2016-6-30 is set in the date field as the filter condition?As shown in the following figure, trx_dte_par in the select count (*) from trxfintr",
+		"product_code":"mrs",
+		"title":"Why No Result Is found When 2016-6-30 Is Set in the Date Field as the Filter Condition?",
+		"uri":"mrs_01_2039.html",
+		"doc_type":"cmpntguide",
+		"p_code":"661",
+		"code":"677"
+	},
+	{
+		"desc":"Why does the --hivevaroption I specified in the command for starting spark-beeline fail to take effect?In the V100R002C60 version, if I use the --hivevar <VAR_NAME>=<var_",
+		"product_code":"mrs",
+		"title":"Why Does the \"--hivevar\" Option I Specified in the Command for Starting spark-beeline Fail to Take Effect?",
+		"uri":"mrs_01_2040.html",
+		"doc_type":"cmpntguide",
+		"p_code":"661",
+		"code":"678"
+	},
+	{
+		"desc":"In normal mode, when I create a temporary table or view in spark-beeline, the error message \"Permission denied\" is displayed, indicating that I have no permissions on the",
+		"product_code":"mrs",
+		"title":"Why Does the \"Permission denied\" Exception Occur When I Create a Temporary Table or View in Spark-beeline?",
+		"uri":"mrs_01_2041.html",
+		"doc_type":"cmpntguide",
+		"p_code":"661",
+		"code":"679"
+	},
+	{
+		"desc":"When I run a complex SQL statement, for example, SQL statements with multiple layers of nesting statements and a single layer statement contains a large number of logic c",
+		"product_code":"mrs",
+		"title":"Why Is the \"Code of method ... grows beyond 64 KB\" Error Message Displayed When I Run Complex SQL Statements?",
+		"uri":"mrs_01_2042.html",
+		"doc_type":"cmpntguide",
+		"p_code":"661",
+		"code":"680"
+	},
+	{
+		"desc":"When the driver memory is set to 10 GB and the 10 TB TPCDS test suites are continuously run in Beeline/JDBCServer mode, SQL statements fail to be executed due to insuffic",
+		"product_code":"mrs",
+		"title":"Why Is Memory Insufficient if 10 Terabytes of TPCDS Test Suites Are Consecutively Run in Beeline/JDBCServer Mode?",
+		"uri":"mrs_01_2043.html",
+		"doc_type":"cmpntguide",
+		"p_code":"661",
+		"code":"681"
+	},
+	{
+		"desc":"Scenario 1I set up permanent functions using the add jar statement. After Beeline connects to different JDBCServer or  JDBCServer is restarted, I have to run the add jar ",
+		"product_code":"mrs",
+		"title":"Why Are Some Functions Not Available when Another JDBCServer Is Connected?",
+		"uri":"mrs_01_2044.html",
+		"doc_type":"cmpntguide",
+		"p_code":"661",
+		"code":"682"
+	},
+	{
+		"desc":"When Spark2x accesses the DataSource table created by Spark1.5, a message is displayed indicating that schema information cannot be obtained. As a result, the table canno",
+		"product_code":"mrs",
+		"title":"Why Does Spark2x Have No Access to DataSource Tables Created by Spark1.5?",
+		"uri":"mrs_01_2046.html",
+		"doc_type":"cmpntguide",
+		"p_code":"661",
+		"code":"683"
+	},
+	{
+		"desc":"Why does \"Failed to create ThriftService instance\" occur when spark beeline fails to run?Beeline logs are as follows:In addition, the \"Timed out waiting for client to con",
+		"product_code":"mrs",
+		"title":"Why Does Spark-beeline Fail to Run and Error Message \"Failed to create ThriftService instance\" Is Displayed?",
+		"uri":"mrs_01_2047.html",
+		"doc_type":"cmpntguide",
+		"p_code":"661",
+		"code":"684"
+	},
+	{
+		"desc":"Why cannot I query newly inserted data in an ORC Hive table using Spark SQL? This problem occurs in the following scenarios:For partitioned tables and non-partitioned tab",
+		"product_code":"mrs",
+		"title":"Why Cannot I Query Newly Inserted Data in an ORC Hive Table Using Spark SQL?",
+		"uri":"mrs_01_24491.html",
+		"doc_type":"cmpntguide",
+		"p_code":"661",
+		"code":"685"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Spark Streaming",
+		"uri":"mrs_01_2048.html",
+		"doc_type":"cmpntguide",
+		"p_code":"642",
+		"code":"686"
+	},
+	{
+		"desc":"After a Spark Streaming task is run and data is input, no processing result is displayed. Open the web page to view the Spark job execution status. The following figure s",
+		"product_code":"mrs",
+		"title":"What Can I Do If Spark Streaming Tasks Are Blocked?",
+		"uri":"mrs_01_2050.html",
+		"doc_type":"cmpntguide",
+		"p_code":"686",
+		"code":"687"
+	},
+	{
+		"desc":"When Spark Streaming tasks are running, the data processing performance does not improve significantly as the number of executors increases. What should I pay attention t",
+		"product_code":"mrs",
+		"title":"What Should I Pay Attention to When Optimizing Spark Streaming Task Parameters?",
+		"uri":"mrs_01_2051.html",
+		"doc_type":"cmpntguide",
+		"p_code":"686",
+		"code":"688"
+	},
+	{
+		"desc":"Change the validity period of the Kerberos ticket and HDFS token to 5 minutes, set dfs.namenode.delegation.token.renew-interval to a value less than 60 seconds, and submi",
+		"product_code":"mrs",
+		"title":"Why Does the Spark Streaming Application Fail to Be Submitted After the Token Validity Period Expires?",
+		"uri":"mrs_01_2052.html",
+		"doc_type":"cmpntguide",
+		"p_code":"686",
+		"code":"689"
+	},
+	{
+		"desc":"Spark Streaming application creates one input stream without output logic. The application fails to restart from checkpoint and an error will be shown like below:When Str",
+		"product_code":"mrs",
+		"title":"Why does Spark Streaming Application Fail to Restart from Checkpoint When It Creates an Input Stream Without Output Logic?",
+		"uri":"mrs_01_2053.html",
+		"doc_type":"cmpntguide",
+		"p_code":"686",
+		"code":"690"
+	},
+	{
+		"desc":"When the Kafka is restarted during the execution of the Spark Streaming application, the application cannot obtain the topic offset from the Kafka. As a result, the job f",
+		"product_code":"mrs",
+		"title":"Why Is the Input Size Corresponding to Batch Time on the Web UI Set to 0 Records When Kafka Is Restarted During Spark Streaming Running?",
+		"uri":"mrs_01_2054.html",
+		"doc_type":"cmpntguide",
+		"p_code":"686",
+		"code":"691"
+	},
+	{
+		"desc":"The job information obtained from the restful interface of an ended Spark application is incorrect: the value of numActiveTasks is negative, as shown in Figure 1:numActiv",
+		"product_code":"mrs",
+		"title":"Why the Job Information Obtained from the restful Interface of an Ended Spark Application Is Incorrect?",
+		"uri":"mrs_01_2055.html",
+		"doc_type":"cmpntguide",
+		"p_code":"642",
+		"code":"692"
+	},
+	{
+		"desc":"In FusionInsight, the Spark application is run in yarn-client mode on the client. The following error occurs during the switch from the Yarn web UI to the application web",
+		"product_code":"mrs",
+		"title":"Why Cannot I Switch from the Yarn Web UI to the Spark Web UI?",
+		"uri":"mrs_01_2056.html",
+		"doc_type":"cmpntguide",
+		"p_code":"642",
+		"code":"693"
+	},
+	{
+		"desc":"An error occurs when I access a Spark application page on the HistoryServer page.Check the HistoryServer logs. The \"FileNotFound\" exception is found. The related logs are",
+		"product_code":"mrs",
+		"title":"What Can I Do If an Error Occurs when I Access the Application Page Because the Application Cached by HistoryServer Is Recycled?",
+		"uri":"mrs_01_2057.html",
+		"doc_type":"cmpntguide",
+		"p_code":"642",
+		"code":"694"
+	},
+	{
+		"desc":"When I run an application with an empty part file in HDFS with the log grouping function enabled, why is not the application displayed on the homepage of JobHistory?On th",
+		"product_code":"mrs",
+		"title":"Why Is not an Application Displayed When I Run the Application with the Empty Part File?",
+		"uri":"mrs_01_2058.html",
+		"doc_type":"cmpntguide",
+		"p_code":"642",
+		"code":"695"
+	},
+	{
+		"desc":"The following code fails to be executed on spark-shell of Spark2x:In Spark2x, the duplicate field name of the join statement is checked. You need to modify the code to en",
+		"product_code":"mrs",
+		"title":"Why Does Spark2x Fail to Export a Table with the Same Field Name?",
+		"uri":"mrs_01_2059.html",
+		"doc_type":"cmpntguide",
+		"p_code":"642",
+		"code":"696"
+	},
+	{
+		"desc":"Why JRE fatal error after running Spark application multiple times?When you run Spark application multiple times, JRE fatal error occurs and this is due to the problem wi",
+		"product_code":"mrs",
+		"title":"Why JRE fatal error after running Spark application multiple times?",
+		"uri":"mrs_01_2060.html",
+		"doc_type":"cmpntguide",
+		"p_code":"642",
+		"code":"697"
+	},
+	{
+		"desc":"Occasionally, Internet Explorer 9, Explorer 10, or Explorer 11 fails to access the native Spark2x UI.Internet Explorer 9, Explorer 10, or Explorer 11 fails to access the ",
+		"product_code":"mrs",
+		"title":"\"This page can't be displayed\" Is Displayed When Internet Explorer Fails to Access the Native Spark2x UI",
+		"uri":"mrs_01_2061.html",
+		"doc_type":"cmpntguide",
+		"p_code":"642",
+		"code":"698"
+	},
+	{
+		"desc":"There are two clusters, cluster 1 and cluster 2. How do I use Spark2x in cluster 1 to access HDFS, Hive, HBase, and Kafka components in cluster 2?Components in two cluste",
+		"product_code":"mrs",
+		"title":"How Does Spark2x Access External Cluster Components?",
+		"uri":"mrs_01_2062.html",
+		"doc_type":"cmpntguide",
+		"p_code":"642",
+		"code":"699"
+	},
+	{
+		"desc":"Assume there is a data file path named /test_data_path. User A creates a foreign table named tableA for the directory, and user B creates a foreign table named tableB for",
+		"product_code":"mrs",
+		"title":"Why Does the Foreign Table Query Fail When Multiple Foreign Tables Are Created in the Same Directory?",
+		"uri":"mrs_01_2063.html",
+		"doc_type":"cmpntguide",
+		"p_code":"642",
+		"code":"700"
+	},
+	{
+		"desc":"After a Spark application that contains a job with millions of tasks. After the application creation is complete, if you access the native page of the application in JobH",
+		"product_code":"mrs",
+		"title":"What Should I Do If the Native Page of an Application of Spark2x JobHistory Fails to Display During Access to the Page",
+		"uri":"mrs_01_2064.html",
+		"doc_type":"cmpntguide",
+		"p_code":"642",
+		"code":"701"
+	},
+	{
+		"desc":"When the OBS ECS/BMS image cluster is connected, after spark-beeline is logged in, an error is reported when a location is specified to create a table on OBS.The permissi",
+		"product_code":"mrs",
+		"title":"Why Do I Fail to Create a Table in the Specified Location on OBS After Logging to spark-beeline?",
+		"uri":"mrs_01_2340.html",
+		"doc_type":"cmpntguide",
+		"p_code":"642",
+		"code":"702"
+	},
+	{
+		"desc":"In some scenarios, the following exception occurs in the Spark shuffle phase:For JDBC:Log in to FusionInsight Manager, change the value of the JDBCServer parameter spark.",
+		"product_code":"mrs",
+		"title":"Spark Shuffle Exception Handling",
+		"uri":"mrs_01_24176.html",
+		"doc_type":"cmpntguide",
+		"p_code":"642",
+		"code":"703"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using Sqoop",
+		"uri":"mrs_01_24453.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"704"
+	},
+	{
+		"desc":"Sqoop is an open-source tool for transferring data between Hadoop (Hive) and traditional databases (such as MySQL and PostgreSQL). It can transfer data from a relational ",
+		"product_code":"mrs",
+		"title":"Using Sqoop from Scratch",
+		"uri":"mrs_01_24454.html",
+		"doc_type":"cmpntguide",
+		"p_code":"704",
+		"code":"705"
+	},
+	{
+		"desc":"Sqoop is a tool designed for efficiently transmitting a large amount of data between Apache Hadoop and structured databases (such as relational databases). Customers need",
+		"product_code":"mrs",
+		"title":"Adapting Sqoop 1.4.7 to MRS 3.x Clusters",
+		"uri":"mrs_01_24455.html",
+		"doc_type":"cmpntguide",
+		"p_code":"704",
+		"code":"706"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Common Sqoop Commands and Parameters",
+		"uri":"mrs_01_24456.html",
+		"doc_type":"cmpntguide",
+		"p_code":"704",
+		"code":"707"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Common Issues About Sqoop",
+		"uri":"mrs_01_24457.html",
+		"doc_type":"cmpntguide",
+		"p_code":"704",
+		"code":"708"
+	},
+	{
+		"desc":"What should I do if the QueryProvider class is unavailable?Search for the MRS client directory and save the following JAR packages to the lib directory of Sqoop.",
+		"product_code":"mrs",
+		"title":"What Should I Do If Class QueryProvider Is Unavailable?",
+		"uri":"mrs_01_24458.html",
+		"doc_type":"cmpntguide",
+		"p_code":"708",
+		"code":"709"
+	},
+	{
+		"desc":"Scenario 1: (import scenarios) Run the sqoop import command to extract the open source PostgreSQL to MRS HDFS or Hive.SymptomThe sqoop command can be executed to query Po",
+		"product_code":"mrs",
+		"title":"How Do I Do If PostgreSQL or GaussDB Fails to Connect?",
+		"uri":"mrs_01_24460.html",
+		"doc_type":"cmpntguide",
+		"p_code":"708",
+		"code":"710"
+	},
+	{
+		"desc":"What should I do if data failed to be synchronized to a Hive table on the OBS using hive-table?Change -hive-table to -hcatalog-table.",
+		"product_code":"mrs",
+		"title":"What Should I Do If Data Failed to Be Synchronized to a Hive Table on the OBS Using hive-table?",
+		"uri":"mrs_01_24461.html",
+		"doc_type":"cmpntguide",
+		"p_code":"708",
+		"code":"711"
+	},
+	{
+		"desc":"What should I do if data failed to be synchronized to the ORC or parquet table using hive-table and error message that contains the kite-sdk package name is displayed?Cha",
+		"product_code":"mrs",
+		"title":"What Should I Do If Data Failed to Be Synchronized to an ORC or Parquet Table Using hive-table?",
+		"uri":"mrs_01_24462.html",
+		"doc_type":"cmpntguide",
+		"p_code":"708",
+		"code":"712"
+	},
+	{
+		"desc":"What should I do if data failed to be synchronized using hive-table?Add the following content to the hive-site.xml file.",
+		"product_code":"mrs",
+		"title":"What Should I Do If Data Failed to Be Synchronized Using hive-table?",
+		"uri":"mrs_01_24463.html",
+		"doc_type":"cmpntguide",
+		"p_code":"708",
+		"code":"713"
+	},
+	{
+		"desc":"When the partition fields in a Hive parquet table are not of the string type, data in the table can be synchronized only using HCatalog. What should I do if the following",
+		"product_code":"mrs",
+		"title":"What Should I Do If Data Failed to Be Synchronized to a Hive Parquet Table Using HCatalog?",
+		"uri":"mrs_01_24464.html",
+		"doc_type":"cmpntguide",
+		"p_code":"708",
+		"code":"714"
+	},
+	{
+		"desc":"What should I do if the data type of fields timestamp and data is incorrect during data synchronization between Hive and MySQL?Forcibly convert the data type of the times",
+		"product_code":"mrs",
+		"title":"What Should I Do If the Data Type of Fields timestamp and data Is Incorrect During Data Synchronization Between Hive and MySQL?",
+		"uri":"mrs_01_24465.html",
+		"doc_type":"cmpntguide",
+		"p_code":"708",
+		"code":"715"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using Storm",
+		"uri":"mrs_01_0380.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"716"
+	},
+	{
+		"desc":"You can submit and delete Storm topologies on the MRS cluster client.The MRS cluster client has been installed, for example, in the /opt/hadoopclient directory. The clien",
+		"product_code":"mrs",
+		"title":"Using Storm from Scratch",
+		"uri":"mrs_01_1045.html",
+		"doc_type":"cmpntguide",
+		"p_code":"716",
+		"code":"717"
+	},
+	{
+		"desc":"This section describes how to use the Storm client in an O&M scenario or service scenario.You have installed the client. For example, the installation directory is /opt/h",
+		"product_code":"mrs",
+		"title":"Using the Storm Client",
+		"uri":"mrs_01_2065.html",
+		"doc_type":"cmpntguide",
+		"p_code":"716",
+		"code":"718"
+	},
+	{
+		"desc":"You can submit Storm topologies on the cluster client to continuously process stream data. For clusters with Kerberos authentication enabled, users who submit topologies ",
+		"product_code":"mrs",
+		"title":"Submitting Storm Topologies on the Client",
+		"uri":"mrs_01_0381.html",
+		"doc_type":"cmpntguide",
+		"p_code":"716",
+		"code":"719"
+	},
+	{
+		"desc":"The Storm web UI provides a graphical interface for using Storm.The following information can be queried on the Storm web UI:Storm cluster summaryNimbus summaryTopology s",
+		"product_code":"mrs",
+		"title":"Accessing the Storm Web UI",
+		"uri":"mrs_01_0382.html",
+		"doc_type":"cmpntguide",
+		"p_code":"716",
+		"code":"720"
+	},
+	{
+		"desc":"You can manage Storm topologies on the Storm web UI. Users in the storm group can manage only the topology tasks submitted by themselves, while users in the stormadmin gr",
+		"product_code":"mrs",
+		"title":"Managing Storm Topologies",
+		"uri":"mrs_01_0383.html",
+		"doc_type":"cmpntguide",
+		"p_code":"716",
+		"code":"721"
+	},
+	{
+		"desc":"You can query topology logs to check the execution of a Storm topology in a worker process. To query the data processing logs of a topology, enable the Debug function whe",
+		"product_code":"mrs",
+		"title":"Querying Storm Topology Logs",
+		"uri":"mrs_01_0384.html",
+		"doc_type":"cmpntguide",
+		"p_code":"716",
+		"code":"722"
+	},
+	{
+		"desc":"This section applies to MRS 3.x or later.For details about how to set parameters, see Modifying Cluster Service Configuration Parameters.",
+		"product_code":"mrs",
+		"title":"Storm Common Parameters",
+		"uri":"mrs_01_1046.html",
+		"doc_type":"cmpntguide",
+		"p_code":"716",
+		"code":"723"
+	},
+	{
+		"desc":"This section applies to MRS 3.x or later.After submitting a topology task, a Storm service user must ensure that the task continuously runs. During topology running, the ",
+		"product_code":"mrs",
+		"title":"Configuring a Storm Service User Password Policy",
+		"uri":"mrs_01_1047.html",
+		"doc_type":"cmpntguide",
+		"p_code":"716",
+		"code":"724"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Migrating Storm Services to Flink",
+		"uri":"mrs_01_1048.html",
+		"doc_type":"cmpntguide",
+		"p_code":"716",
+		"code":"725"
+	},
+	{
+		"desc":"This section applies to MRS 3.x or later.From 0.10.0, Flink provides a set of APIs to smoothly migrate services compiled using Storm APIs to the Flink platform. This can ",
+		"product_code":"mrs",
+		"title":"Overview",
+		"uri":"mrs_01_1049.html",
+		"doc_type":"cmpntguide",
+		"p_code":"725",
+		"code":"726"
+	},
+	{
+		"desc":"This section describes how to convert and run a complete Storm topology developed using Storm API.<dependency>\n    <groupId>org.apache.flink</groupId>\n    <artifactId>fli",
+		"product_code":"mrs",
+		"title":"Completely Migrating Storm Services",
+		"uri":"mrs_01_1050.html",
+		"doc_type":"cmpntguide",
+		"p_code":"725",
+		"code":"727"
+	},
+	{
+		"desc":"This section describes how to embed Storm code in DataStream of Flink in embedded migration mode. For example, the code of Spout or Bolt compiled using Storm API is embed",
+		"product_code":"mrs",
+		"title":"Performing Embedded Service Migration",
+		"uri":"mrs_01_1051.html",
+		"doc_type":"cmpntguide",
+		"p_code":"725",
+		"code":"728"
+	},
+	{
+		"desc":"If the Storm services use the storm-hdfs or storm-hbase plug-in package for interconnection, you need to specify the following security parameters when migrating Storm se",
+		"product_code":"mrs",
+		"title":"Migrating Services of External Security Components Interconnected with Storm",
+		"uri":"mrs_01_1052.html",
+		"doc_type":"cmpntguide",
+		"p_code":"725",
+		"code":"729"
+	},
+	{
+		"desc":"This section applies to MRS 3.x or later.Log paths: The default paths of Storm log files are /var/log/Bigdata/storm/Role name (run logs) and /var/log/Bigdata/audit/storm/",
+		"product_code":"mrs",
+		"title":"Storm Log Introduction",
+		"uri":"mrs_01_1053.html",
+		"doc_type":"cmpntguide",
+		"p_code":"716",
+		"code":"730"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Performance Tuning",
+		"uri":"mrs_01_1054.html",
+		"doc_type":"cmpntguide",
+		"p_code":"716",
+		"code":"731"
+	},
+	{
+		"desc":"You can modify Storm parameters to improve Storm performance in specific service scenarios.This section applies to MRS 3.x or later.Modify the service configuration param",
+		"product_code":"mrs",
+		"title":"Storm Performance Tuning",
+		"uri":"mrs_01_1055.html",
+		"doc_type":"cmpntguide",
+		"p_code":"731",
+		"code":"732"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using Tez",
+		"uri":"mrs_01_2067.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"733"
+	},
+	{
+		"desc":"This section applies to MRS 3.x or later clusters.",
+		"product_code":"mrs",
+		"title":"Precautions",
+		"uri":"mrs_01_2068.html",
+		"doc_type":"cmpntguide",
+		"p_code":"733",
+		"code":"734"
+	},
+	{
+		"desc":"On Manager, choose Cluster > Service > Tez > Configuration > All Configurations. Enter a parameter name in the search box.",
+		"product_code":"mrs",
+		"title":"Common Tez Parameters",
+		"uri":"mrs_01_2069.html",
+		"doc_type":"cmpntguide",
+		"p_code":"733",
+		"code":"735"
+	},
+	{
+		"desc":"Tez displays the Tez task execution process on a GUI. You can view the task execution details on the GUI.The TimelineServer instance of the Yarn service has been installe",
+		"product_code":"mrs",
+		"title":"Accessing TezUI",
+		"uri":"mrs_01_2070.html",
+		"doc_type":"cmpntguide",
+		"p_code":"733",
+		"code":"736"
+	},
+	{
+		"desc":"Log path: The default save path of Tez logs is /var/log/Bigdata/tez/role name.TezUI: /var/log/Bigdata/tez/tezui (run logs) and /var/log/Bigdata/audit/tez/tezui (audit log",
+		"product_code":"mrs",
+		"title":"Log Overview",
+		"uri":"mrs_01_2071.html",
+		"doc_type":"cmpntguide",
+		"p_code":"733",
+		"code":"737"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Common Issues",
+		"uri":"mrs_01_2072.html",
+		"doc_type":"cmpntguide",
+		"p_code":"733",
+		"code":"738"
+	},
+	{
+		"desc":"After a user logs in to Manager and switches to the Tez web UI, the submitted Tez tasks are not displayed.The Tez task data displayed on the Tez WebUI requires the suppor",
+		"product_code":"mrs",
+		"title":"TezUI Cannot Display Tez Task Execution Details",
+		"uri":"mrs_01_2073.html",
+		"doc_type":"cmpntguide",
+		"p_code":"738",
+		"code":"739"
+	},
+	{
+		"desc":"When a user logs in to Manager and switches to the Tez web UI, error 404 or 503 is displayed.The Tez web UI depends on the TimelineServer instance of Yarn. Therefore, Tim",
+		"product_code":"mrs",
+		"title":"Error Occurs When a User Switches to the Tez Web UI",
+		"uri":"mrs_01_2074.html",
+		"doc_type":"cmpntguide",
+		"p_code":"738",
+		"code":"740"
+	},
+	{
+		"desc":"A user logs in to the Tez web UI and clicks Logs, but the Yarn log page fails to be displayed and data cannot be loaded.Currently, the hostname is used for the access to ",
+		"product_code":"mrs",
+		"title":"Yarn Logs Cannot Be Viewed on the TezUI Page",
+		"uri":"mrs_01_2075.html",
+		"doc_type":"cmpntguide",
+		"p_code":"738",
+		"code":"741"
+	},
+	{
+		"desc":"A user logs in to Manager and switches to the Tez web UI page, but no data for the submitted task is displayed on the Hive Queries page.To display task data on the Hive Q",
+		"product_code":"mrs",
+		"title":"Table Data Is Empty on the TezUI HiveQueries Page",
+		"uri":"mrs_01_2076.html",
+		"doc_type":"cmpntguide",
+		"p_code":"738",
+		"code":"742"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using Yarn",
+		"uri":"mrs_01_0851.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"743"
+	},
+	{
+		"desc":"The Yarn service provides queues for users. Users allocate system resources to each queue. After the configuration is complete, you can click Refresh Queue or restart the",
+		"product_code":"mrs",
+		"title":"Common YARN Parameters",
+		"uri":"mrs_01_0852.html",
+		"doc_type":"cmpntguide",
+		"p_code":"743",
+		"code":"744"
+	},
+	{
+		"desc":"This section describes how to create and configure a Yarn role. The Yarn role can be assigned with Yarn administrator permission and manage Yarn queue resources.If the cu",
+		"product_code":"mrs",
+		"title":"Creating Yarn Roles",
+		"uri":"mrs_01_0853.html",
+		"doc_type":"cmpntguide",
+		"p_code":"743",
+		"code":"745"
+	},
+	{
+		"desc":"This section guides users to use a Yarn client in an O&M or service scenario.The client has been installed.For example, the installation directory is /opt/hadoopclient. T",
+		"product_code":"mrs",
+		"title":"Using the YARN Client",
+		"uri":"mrs_01_0854.html",
+		"doc_type":"cmpntguide",
+		"p_code":"743",
+		"code":"746"
+	},
+	{
+		"desc":"If the hardware resources (such as the number of CPU cores and memory size) of the nodes for deploying NodeManagers are different but the NodeManager available hardware r",
+		"product_code":"mrs",
+		"title":"Configuring Resources for a NodeManager Role Instance",
+		"uri":"mrs_01_0855.html",
+		"doc_type":"cmpntguide",
+		"p_code":"743",
+		"code":"747"
+	},
+	{
+		"desc":"If the storage directories defined by the Yarn NodeManager are incorrect or the Yarn storage plan changes, the system administrator needs to modify the NodeManager storag",
+		"product_code":"mrs",
+		"title":"Changing NodeManager Storage Directories",
+		"uri":"mrs_01_0856.html",
+		"doc_type":"cmpntguide",
+		"p_code":"743",
+		"code":"748"
+	},
+	{
+		"desc":"In the multi-tenant scenario in security mode, a cluster can be used by multiple users, and tasks of multiple users can be submitted and executed. Users are invisible to ",
+		"product_code":"mrs",
+		"title":"Configuring Strict Permission Control for Yarn",
+		"uri":"mrs_01_0857.html",
+		"doc_type":"cmpntguide",
+		"p_code":"743",
+		"code":"749"
+	},
+	{
+		"desc":"Yarn provides the container log aggregation function to collect logs generated by containers on each node to HDFS to release local disk space. You can collect logs in eit",
+		"product_code":"mrs",
+		"title":"Configuring Container Log Aggregation",
+		"uri":"mrs_01_0858.html",
+		"doc_type":"cmpntguide",
+		"p_code":"743",
+		"code":"750"
+	},
+	{
+		"desc":"This section applies to MRS 3.x or later clusters.CGroups is a Linux kernel feature. In YARN this feature allows containers to be limited in their resource usage (example",
+		"product_code":"mrs",
+		"title":"Using CGroups with YARN",
+		"uri":"mrs_01_0859.html",
+		"doc_type":"cmpntguide",
+		"p_code":"743",
+		"code":"751"
+	},
+	{
+		"desc":"When resources are insufficient or ApplicationMaster fails to start, a client probably encounters running errors.Go to the All Configurations page of Yarn and enter a par",
+		"product_code":"mrs",
+		"title":"Configuring the Number of ApplicationMaster Retries",
+		"uri":"mrs_01_0860.html",
+		"doc_type":"cmpntguide",
+		"p_code":"743",
+		"code":"752"
+	},
+	{
+		"desc":"This section applies to clusters of MRS 3.x or later.During the process of starting the configuration, when the ApplicationMaster creates a container, the allocated memor",
+		"product_code":"mrs",
+		"title":"Configure the ApplicationMaster to Automatically Adjust the Allocated Memory",
+		"uri":"mrs_01_0861.html",
+		"doc_type":"cmpntguide",
+		"p_code":"743",
+		"code":"753"
+	},
+	{
+		"desc":"The value of the yarn.http.policy parameter must be consistent on both the server and clients. Web UIs on clients will be garbled if an inconsistency exists, for example,",
+		"product_code":"mrs",
+		"title":"Configuring the Access Channel Protocol",
+		"uri":"mrs_01_0862.html",
+		"doc_type":"cmpntguide",
+		"p_code":"743",
+		"code":"754"
+	},
+	{
+		"desc":"If memory usage of the submitted application cannot be estimated, you can modify the configuration on the server to determine whether to check the memory usage.If the mem",
+		"product_code":"mrs",
+		"title":"Configuring Memory Usage Detection",
+		"uri":"mrs_01_0863.html",
+		"doc_type":"cmpntguide",
+		"p_code":"743",
+		"code":"755"
+	},
+	{
+		"desc":"If the custom scheduler is set in ResourceManager, you can set the corresponding web page and other Web applications for the custom scheduler.Go to the All Configurations",
+		"product_code":"mrs",
+		"title":"Configuring the Additional Scheduler WebUI",
+		"uri":"mrs_01_0864.html",
+		"doc_type":"cmpntguide",
+		"p_code":"743",
+		"code":"756"
+	},
+	{
+		"desc":"The Yarn Restart feature includes ResourceManager Restart and NodeManager Restart.When ResourceManager Restart is enabled, the new active ResourceManager node loads the i",
+		"product_code":"mrs",
+		"title":"Configuring Yarn Restart",
+		"uri":"mrs_01_0865.html",
+		"doc_type":"cmpntguide",
+		"p_code":"743",
+		"code":"757"
+	},
+	{
+		"desc":"This section applies to clusters of MRS 3.x or later.In YARN, ApplicationMasters run on NodeManagers just like every other container (ignoring unmanaged ApplicationMaster",
+		"product_code":"mrs",
+		"title":"Configuring ApplicationMaster Work Preserving",
+		"uri":"mrs_01_0866.html",
+		"doc_type":"cmpntguide",
+		"p_code":"743",
+		"code":"758"
+	},
+	{
+		"desc":"This section applies to clusters of MRS 3.x or later.The default log level of localized container is INFO. You can change the log level by configuring yarn.nodemanager.co",
+		"product_code":"mrs",
+		"title":"Configuring the Localized Log Levels",
+		"uri":"mrs_01_0867.html",
+		"doc_type":"cmpntguide",
+		"p_code":"743",
+		"code":"759"
+	},
+	{
+		"desc":"This section applies to clusters of MRS 3.x or later.Currently, YARN allows the user that starts the NodeManager to run the task submitted by all other users, or the user",
+		"product_code":"mrs",
+		"title":"Configuring Users That Run Tasks",
+		"uri":"mrs_01_0868.html",
+		"doc_type":"cmpntguide",
+		"p_code":"743",
+		"code":"760"
+	},
+	{
+		"desc":"The default paths for saving Yarn logs are as follows:ResourceManager: /var/log/Bigdata/yarn/rm (run logs) and /var/log/Bigdata/audit/yarn/rm (audit logs)NodeManager: /va",
+		"product_code":"mrs",
+		"title":"Yarn Log Overview",
+		"uri":"mrs_01_0870.html",
+		"doc_type":"cmpntguide",
+		"p_code":"743",
+		"code":"761"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Yarn Performance Tuning",
+		"uri":"mrs_01_0871.html",
+		"doc_type":"cmpntguide",
+		"p_code":"743",
+		"code":"762"
+	},
+	{
+		"desc":"The capacity scheduler of ResourceManager implements job preemption to simplify job running in queues and improve resource utilization. The process is as follows:Assume t",
+		"product_code":"mrs",
+		"title":"Preempting a Task",
+		"uri":"mrs_01_0872.html",
+		"doc_type":"cmpntguide",
+		"p_code":"762",
+		"code":"763"
+	},
+	{
+		"desc":"The resource contention scenarios of a cluster are as follows:Submit two jobs (Job 1 and Job 2) with lower priorities.Some tasks of running Job 1 and Job 2 are in the run",
+		"product_code":"mrs",
+		"title":"Setting the Task Priority",
+		"uri":"mrs_01_0873.html",
+		"doc_type":"cmpntguide",
+		"p_code":"762",
+		"code":"764"
+	},
+	{
+		"desc":"After the scheduler of a big data cluster is properly configured, you can adjust the available memory, CPU resources, and local disk of each node to optimize the performa",
+		"product_code":"mrs",
+		"title":"Optimizing Node Configuration",
+		"uri":"mrs_01_0874.html",
+		"doc_type":"cmpntguide",
+		"p_code":"762",
+		"code":"765"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Common Issues About Yarn",
+		"uri":"mrs_01_2077.html",
+		"doc_type":"cmpntguide",
+		"p_code":"743",
+		"code":"766"
+	},
+	{
+		"desc":"Why mounted directory for Container is not cleared after the completion of the job while using CGroups?The mounted path for the Container should be cleared even if job is",
+		"product_code":"mrs",
+		"title":"Why Mounted Directory for Container is Not Cleared After the Completion of the Job While Using CGroups?",
+		"uri":"mrs_01_2078.html",
+		"doc_type":"cmpntguide",
+		"p_code":"766",
+		"code":"767"
+	},
+	{
+		"desc":"Why is the HDFS_DELEGATION_TOKEN expired exception reported when a job fails in security mode?HDFS_DELEGATION_TOKEN expires because the token is not updated or it is acce",
+		"product_code":"mrs",
+		"title":"Why the Job Fails with HDFS_DELEGATION_TOKEN Expired Exception?",
+		"uri":"mrs_01_2079.html",
+		"doc_type":"cmpntguide",
+		"p_code":"766",
+		"code":"768"
+	},
+	{
+		"desc":"If Yarn is restarted in either of the following scenarios, local logs will not be deleted as scheduled and will be retained permanently:When Yarn is restarted during task",
+		"product_code":"mrs",
+		"title":"Why Are Local Logs Not Deleted After YARN Is Restarted?",
+		"uri":"mrs_01_2080.html",
+		"doc_type":"cmpntguide",
+		"p_code":"766",
+		"code":"769"
+	},
+	{
+		"desc":"Why the task does not fail even though AppAttempts restarts due to failure for more than two times?During the task execution process, if the ContainerExitStatus returns v",
+		"product_code":"mrs",
+		"title":"Why the Task Does Not Fail Even Though AppAttempts Restarts for More Than Two Times?",
+		"uri":"mrs_01_2081.html",
+		"doc_type":"cmpntguide",
+		"p_code":"766",
+		"code":"770"
+	},
+	{
+		"desc":"After I moved an application from one queue to another, why is it moved back to the original queue after ResourceManager restarts?This problem is caused by the constraint",
+		"product_code":"mrs",
+		"title":"Why Is an Application Moved Back to the Original Queue After ResourceManager Restarts?",
+		"uri":"mrs_01_2082.html",
+		"doc_type":"cmpntguide",
+		"p_code":"766",
+		"code":"771"
+	},
+	{
+		"desc":"Why does Yarn not release the blacklist even all nodes are added to the blacklist?In Yarn, when the number of application nodes added to the blacklist by ApplicationMaste",
+		"product_code":"mrs",
+		"title":"Why Does Yarn Not Release the Blacklist Even All Nodes Are Added to the Blacklist?",
+		"uri":"mrs_01_2083.html",
+		"doc_type":"cmpntguide",
+		"p_code":"766",
+		"code":"772"
+	},
+	{
+		"desc":"The switchover of ResourceManager occurs continuously when multiple, for example 2,000, tasks are running concurrently, causing the Yarn service unavailable.The cause is ",
+		"product_code":"mrs",
+		"title":"Why Does the Switchover of ResourceManager Occur Continuously?",
+		"uri":"mrs_01_2084.html",
+		"doc_type":"cmpntguide",
+		"p_code":"766",
+		"code":"773"
+	},
+	{
+		"desc":"Why does a new application fail if a NodeManager has been in unhealthy status for 10 minutes?When nodeSelectPolicy is set to SEQUENCE and the first NodeManager connected ",
+		"product_code":"mrs",
+		"title":"Why Does a New Application Fail If a NodeManager Has Been in Unhealthy Status for 10 Minutes?",
+		"uri":"mrs_01_2085.html",
+		"doc_type":"cmpntguide",
+		"p_code":"766",
+		"code":"774"
+	},
+	{
+		"desc":"Why does an error occur when I query the applicationID of a completed or non-existing application using the RESTful APIs?The Superior scheduler only stores the applicatio",
+		"product_code":"mrs",
+		"title":"Why Does an Error Occur When I Query the ApplicationID of a Completed or Non-existing Application Using the RESTful APIs?",
+		"uri":"mrs_01_2087.html",
+		"doc_type":"cmpntguide",
+		"p_code":"766",
+		"code":"775"
+	},
+	{
+		"desc":"In Superior scheduling mode, if a single NodeManager is faulty, why may the MapReduce tasks fail?In normal cases, when the attempt of a single task of an application fail",
+		"product_code":"mrs",
+		"title":"Why May A Single NodeManager Fault Cause MapReduce Task Failures in the Superior Scheduling Mode?",
+		"uri":"mrs_01_2088.html",
+		"doc_type":"cmpntguide",
+		"p_code":"766",
+		"code":"776"
+	},
+	{
+		"desc":"When a queue is deleted when there are applications running in it, these applications are moved to the \"lost_and_found\" queue. When these applications are moved back to a",
+		"product_code":"mrs",
+		"title":"Why Are Applications Suspended After They Are Moved From Lost_and_Found Queue to Another Queue?",
+		"uri":"mrs_01_2089.html",
+		"doc_type":"cmpntguide",
+		"p_code":"766",
+		"code":"777"
+	},
+	{
+		"desc":"How do I limit the size of application diagnostic messages stored in the ZKstore?In some cases, it has been observed that diagnostic messages may grow infinitely. Because",
+		"product_code":"mrs",
+		"title":"How Do I Limit the Size of Application Diagnostic Messages Stored in the ZKstore?",
+		"uri":"mrs_01_2090.html",
+		"doc_type":"cmpntguide",
+		"p_code":"766",
+		"code":"778"
+	},
+	{
+		"desc":"Why does a MapReduce job fail to run when a non-ViewFS file system is configured as ViewFS?When a non-ViewFS file system is configured as a ViewFS using cluster, the user",
+		"product_code":"mrs",
+		"title":"Why Does a MapReduce Job Fail to Run When a Non-ViewFS File System Is Configured as ViewFS?",
+		"uri":"mrs_01_2091.html",
+		"doc_type":"cmpntguide",
+		"p_code":"766",
+		"code":"779"
+	},
+	{
+		"desc":"After the Native Task feature is enabled, Reduce tasks fail to run in some OSs.When -Dmapreduce.job.map.output.collector.class=org.apache.hadoop.mapred.nativetask.NativeM",
+		"product_code":"mrs",
+		"title":"Why Do Reduce Tasks Fail to Run in Some OSs After the Native Task Feature is Enabled?",
+		"uri":"mrs_01_24051.html",
+		"doc_type":"cmpntguide",
+		"p_code":"766",
+		"code":"780"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using ZooKeeper",
+		"uri":"mrs_01_2092.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"781"
+	},
+	{
+		"desc":"ZooKeeper is an open-source, highly reliable, and distributed consistency coordination service. ZooKeeper is designed to solve the problem that data consistency cannot be",
+		"product_code":"mrs",
+		"title":"Using ZooKeeper from Scratch",
+		"uri":"mrs_01_2093.html",
+		"doc_type":"cmpntguide",
+		"p_code":"781",
+		"code":"782"
+	},
+	{
+		"desc":"Navigation path for setting parameters:Go to the All Configurations page of ZooKeeper by referring to Modifying Cluster Service Configuration Parameters. Enter a paramete",
+		"product_code":"mrs",
+		"title":"Common ZooKeeper Parameters",
+		"uri":"mrs_01_2094.html",
+		"doc_type":"cmpntguide",
+		"p_code":"781",
+		"code":"783"
+	},
+	{
+		"desc":"Use a ZooKeeper client in an O&M scenario or service scenario.You have installed the client. For example, the installation directory is /opt/client. The client directory ",
+		"product_code":"mrs",
+		"title":"Using a ZooKeeper Client",
+		"uri":"mrs_01_2095.html",
+		"doc_type":"cmpntguide",
+		"p_code":"781",
+		"code":"784"
+	},
+	{
+		"desc":"Configure znode permission of ZooKeeper.ZooKeeper uses an access control list (ACL) to implement znode access control. The ZooKeeper client specifies a znode ACL, and the",
+		"product_code":"mrs",
+		"title":"Configuring the ZooKeeper Permissions",
+		"uri":"mrs_01_2097.html",
+		"doc_type":"cmpntguide",
+		"p_code":"781",
+		"code":"785"
+	},
+	{
+		"desc":"Log path: /var/log/Bigdata/zookeeper/quorumpeer (Run log), /var/log/Bigdata/audit/zookeeper/quorumpeer (Audit log)Log archive rule: The automatic ZooKeeper log compressio",
+		"product_code":"mrs",
+		"title":"ZooKeeper Log Overview",
+		"uri":"mrs_01_2106.html",
+		"doc_type":"cmpntguide",
+		"p_code":"781",
+		"code":"786"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Common Issues About ZooKeeper",
+		"uri":"mrs_01_2107.html",
+		"doc_type":"cmpntguide",
+		"p_code":"781",
+		"code":"787"
+	},
+	{
+		"desc":"After a large number of znodes are created, ZooKeeper servers in the ZooKeeper cluster become faulty and cannot be automatically recovered or restarted.Logs of followers:",
+		"product_code":"mrs",
+		"title":"Why Do ZooKeeper Servers Fail to Start After Many znodes Are Created?",
+		"uri":"mrs_01_2108.html",
+		"doc_type":"cmpntguide",
+		"p_code":"787",
+		"code":"788"
+	},
+	{
+		"desc":"After a large number of znodes are created in a parent directory, the ZooKeeper client will fail to fetch all child nodes of this parent directory in a single request.Log",
+		"product_code":"mrs",
+		"title":"Why Does the ZooKeeper Server Display the java.io.IOException: Len Error Log?",
+		"uri":"mrs_01_2109.html",
+		"doc_type":"cmpntguide",
+		"p_code":"787",
+		"code":"789"
+	},
+	{
+		"desc":"Why four letter commands do not work with linux netcat command when secure netty configurations are enabled at Zookeeper server?For example,echo stat |netcat host portLin",
+		"product_code":"mrs",
+		"title":"Why Four Letter Commands Don't Work With Linux netcat Command When Secure Netty Configurations Are Enabled at Zookeeper Server?",
+		"uri":"mrs_01_2110.html",
+		"doc_type":"cmpntguide",
+		"p_code":"787",
+		"code":"790"
+	},
+	{
+		"desc":"How to check whether the role of a ZooKeeper instance is a leader or follower.Log in to Manager and choose Cluster > Name of the desired cluster > Service > ZooKeeper > I",
+		"product_code":"mrs",
+		"title":"How Do I Check Which ZooKeeper Instance Is a Leader?",
+		"uri":"mrs_01_2111.html",
+		"doc_type":"cmpntguide",
+		"p_code":"787",
+		"code":"791"
+	},
+	{
+		"desc":"When the IBM JDK is used, the client fails to connect to ZooKeeper.The possible cause is that the jaas.conf file format of the IBM JDK is different from that of the commo",
+		"product_code":"mrs",
+		"title":"Why Cannot the Client Connect to ZooKeeper using the IBM JDK?",
+		"uri":"mrs_01_2112.html",
+		"doc_type":"cmpntguide",
+		"p_code":"787",
+		"code":"792"
+	},
+	{
+		"desc":"The ZooKeeper client fails to refresh a TGT and therefore ZooKeeper cannot be accessed. The error message is as follows:ZooKeeper uses the system command kinit – R to ref",
+		"product_code":"mrs",
+		"title":"What Should I Do When the ZooKeeper Client Fails to Refresh a TGT?",
+		"uri":"mrs_01_2113.html",
+		"doc_type":"cmpntguide",
+		"p_code":"787",
+		"code":"793"
+	},
+	{
+		"desc":"When the client connects to a non-leader instance, run the deleteall command to delete a large number of znodes, the error message \"Node does not exist\" is displayed, but",
+		"product_code":"mrs",
+		"title":"Why Is Message \"Node does not exist\" Displayed when A Large Number of Znodes Are Deleted Using the deleteallCommand",
+		"uri":"mrs_01_2114.html",
+		"doc_type":"cmpntguide",
+		"p_code":"787",
+		"code":"794"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Appendix",
+		"uri":"mrs_01_2122.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"795"
+	},
+	{
+		"desc":"For MRS 1.9.2 or later: You can modify service configuration parameters on the cluster management page of the MRS management console.Log in to the MRS console. In the lef",
+		"product_code":"mrs",
+		"title":"Modifying Cluster Service Configuration Parameters",
+		"uri":"mrs_01_2125.html",
+		"doc_type":"cmpntguide",
+		"p_code":"795",
+		"code":"796"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Accessing Manager",
+		"uri":"mrs_01_2123.html",
+		"doc_type":"cmpntguide",
+		"p_code":"795",
+		"code":"797"
+	},
+	{
+		"desc":"Clusters of versions earlier than MRS 3.x use MRS Manager to monitor, configure, and manage clusters. You can open the MRS Manager page on the MRS console.If you have bou",
+		"product_code":"mrs",
+		"title":"Accessing MRS Manager (Versions Earlier Than MRS 3.x)",
+		"uri":"mrs_01_0102.html",
+		"doc_type":"cmpntguide",
+		"p_code":"797",
+		"code":"798"
+	},
+	{
+		"desc":"In MRS 3.x or later, FusionInsight Manager is used to monitor, configure, and manage clusters. After the cluster is installed, you can use the account to log in to Fusion",
+		"product_code":"mrs",
+		"title":"Accessing FusionInsight Manager (MRS 3.x or Later)",
+		"uri":"mrs_01_2124.html",
+		"doc_type":"cmpntguide",
+		"p_code":"797",
+		"code":"799"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Using an MRS Client",
+		"uri":"mrs_01_2126.html",
+		"doc_type":"cmpntguide",
+		"p_code":"795",
+		"code":"800"
+	},
+	{
+		"desc":"This section describes how to install clients of all services (excluding Flume) in an MRS cluster. For details about how to install the Flume client, see Installing the F",
+		"product_code":"mrs",
+		"title":"Installing a Client (Version 3.x or Later)",
+		"uri":"mrs_01_2127.html",
+		"doc_type":"cmpntguide",
+		"p_code":"800",
+		"code":"801"
+	},
+	{
+		"desc":"An MRS client is required. The MRS cluster client can be installed on the Master or Core node in the cluster or on a node outside the cluster.After a cluster of versions ",
+		"product_code":"mrs",
+		"title":"Installing a Client (Versions Earlier Than 3.x)",
+		"uri":"mrs_01_2128.html",
+		"doc_type":"cmpntguide",
+		"p_code":"800",
+		"code":"802"
+	},
+	{
+		"desc":"A cluster provides a client for you to connect to a server, view task results, or manage data. If you modify service configuration parameters on Manager and restart the s",
+		"product_code":"mrs",
+		"title":"Updating a Client (Version 3.x or Later)",
+		"uri":"mrs_01_2129.html",
+		"doc_type":"cmpntguide",
+		"p_code":"800",
+		"code":"803"
+	},
+	{
+		"desc":"This section applies to clusters of versions earlier than MRS 3.x. For MRS 3.x or later, see Updating a Client (Version 3.x or Later).ScenarioAn MRS cluster provides a cl",
+		"product_code":"mrs",
+		"title":"Updating a Client (Versions Earlier Than 3.x)",
+		"uri":"mrs_01_2130.html",
+		"doc_type":"cmpntguide",
+		"p_code":"800",
+		"code":"804"
+	},
+	{
+		"desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.",
+		"product_code":"mrs",
+		"title":"Change History",
+		"uri":"en-us_topic_0000001351362309.html",
+		"doc_type":"cmpntguide",
+		"p_code":"",
+		"code":"805"
+	}
+]
\ No newline at end of file
diff --git a/docs/mrs/component-operation-guide/PARAMETERS.txt b/docs/mrs/component-operation-guide/PARAMETERS.txt
new file mode 100644
index 000000000..6da8d5f07
--- /dev/null
+++ b/docs/mrs/component-operation-guide/PARAMETERS.txt
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+language="en-us"
+type=""
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diff --git a/docs/mrs/component-operation-guide/bakmrs_01_0368.html b/docs/mrs/component-operation-guide/bakmrs_01_0368.html
new file mode 100644
index 000000000..0358b9f0f
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@@ -0,0 +1,88 @@
+<a name="bakmrs_01_0368"></a><a name="bakmrs_01_0368"></a>
+
+<h1 class="topictitle1">Using an HBase Client</h1>
+<div id="body1589421623016"><div class="section" id="bakmrs_01_0368__sa6f26f4d73194c3aac199d5a2504b08f"><h4 class="sectiontitle">Scenario</h4><p id="bakmrs_01_0368__a80ed03e166a14d7a9e27f1ab5764815b">This section describes how to use the HBase client in an O&amp;M scenario or a service scenario. </p>
+</div>
+<div class="section" id="bakmrs_01_0368__s575f22d757a24b5a85a68692161d0106"><h4 class="sectiontitle">Prerequisites</h4><ul id="bakmrs_01_0368__uce02bcdf50bd49c2a1001424a760b54d"><li id="bakmrs_01_0368__l2913522dc1fe42828e88d99a723b4425">The client has been installed. For example, the installation directory is <strong id="bakmrs_01_0368__b1924363120212">/opt/hadoopclient</strong>. The client directory in the following operations is only an example. Change it to the actual installation directory.</li><li id="bakmrs_01_0368__li7951192245213">Service component users are created by the administrator as required.<p id="bakmrs_01_0368__p19651142335210"><a name="bakmrs_01_0368__li7951192245213"></a><a name="li7951192245213"></a>A machine-machine user needs to download the <strong id="bakmrs_01_0368__b13981165245914">keytab</strong> file and a human-machine user needs to change the password upon the first login.</p>
+</li><li id="bakmrs_01_0368__lec21f4a28e144c91a3ac3e06df7378c3">If a non-<strong id="bakmrs_01_0368__b2518355135919">root</strong> user uses the HBase client, ensure that the owner of the HBase client directory is this user. Otherwise, run the following command to change the owner.<p id="bakmrs_01_0368__a2f48aa1f1a4645759a151003f23702e0"><strong id="bakmrs_01_0368__b1958219203019">chown user:group -R</strong> <em id="bakmrs_01_0368__i15829201108">Client installation directory</em><strong id="bakmrs_01_0368__b145824201003">/HBase</strong></p>
+</li></ul>
+</div>
+<div class="section" id="bakmrs_01_0368__section639319572712"><h4 class="sectiontitle">Using the HBase Client (Versions Earlier Than MRS 3.x)</h4><ol id="bakmrs_01_0368__ol76958414108"><li id="bakmrs_01_0368__li10695204119102"><span><span id="bakmrs_01_0368__ph44771027132215">Log in to the node where the client is installed as the client installation user.</span></span></li><li id="bakmrs_01_0368__li136952418109"><span>Run the following command to go to the client directory:</span><p><p id="bakmrs_01_0368__p1269510411103"><strong id="bakmrs_01_0368__b869512411101">cd </strong><strong id="bakmrs_01_0368__b157211325183516">/opt/hadoopclient</strong></p>
+</p></li><li id="bakmrs_01_0368__li19695641171013"><span>Run the following command to configure environment variables:</span><p><p id="bakmrs_01_0368__p196957418108"><strong id="bakmrs_01_0368__b069513417106">source bigdata_env</strong></p>
+</p></li><li id="bakmrs_01_0368__li469524110108"><span>If Kerberos authentication is enabled for the current cluster, run the following command to authenticate the current user. The current user must have the permission to create HBase tables. If Kerberos authentication is disabled for the current cluster, skip this step.</span><p><p id="bakmrs_01_0368__p17695194111019"><strong id="bakmrs_01_0368__b1715425013334">kinit</strong> <em id="bakmrs_01_0368__i131541250123316">Component service user</em></p>
+<p id="bakmrs_01_0368__p15695541101011">For example, <strong id="bakmrs_01_0368__b883514496253">kinit hbaseuser</strong>.</p>
+</p></li><li id="bakmrs_01_0368__li2696141171010"><span>Run the following HBase client command:</span><p><p id="bakmrs_01_0368__p8696441111019"><strong id="bakmrs_01_0368__b1696164151011">hbase shell</strong></p>
+</p></li></ol>
+</div>
+<div class="section" id="bakmrs_01_0368__section3155145073312"><h4 class="sectiontitle">Using the HBase Client (MRS 3.x or Later)</h4><ol id="bakmrs_01_0368__ol19318181333814"><li id="bakmrs_01_0368__li194307243615"><span><span id="bakmrs_01_0368__ph143175231703">Log in to the node where the client is installed as the client installation user.</span></span></li><li id="bakmrs_01_0368__li531819136388"><span>Run the following command to go to the client directory:</span><p><p id="bakmrs_01_0368__p982511593812"><strong id="bakmrs_01_0368__b315455003318">cd </strong><strong id="bakmrs_01_0368__b153863129369">/opt/hadoopclient</strong></p>
+</p></li><li id="bakmrs_01_0368__li19319113103813"><span>Run the following command to configure environment variables:</span><p><p id="bakmrs_01_0368__p3781918183810"><strong id="bakmrs_01_0368__b915445016330">source bigdata_env</strong></p>
+</p></li><li id="bakmrs_01_0368__li17257440185215"><span>If you use the client to connect to a specific HBase instance in a scenario where multiple HBase instances are installed, run the following command to load the environment variables of the instance. Otherwise, skip this step. For example, to load the environment variables of the HBase2 instance, run the following command:</span><p><p id="bakmrs_01_0368__p17601184675220"><strong id="bakmrs_01_0368__b960284613521">source HBase2/component_env</strong></p>
+</p></li><li id="bakmrs_01_0368__li15319191383810"><span>If Kerberos authentication is enabled for the current cluster, run the following command to authenticate the current user. The current user must have the permission to create HBase tables. If Kerberos authentication is disabled for the current cluster, skip this step.</span><p><p id="bakmrs_01_0368__p2294112143814"><strong id="bakmrs_01_0368__b1542189069">kinit</strong> <em id="bakmrs_01_0368__i255069682">Component service user</em></p>
+<p id="bakmrs_01_0368__p13135324163810">For example, <strong id="bakmrs_01_0368__b253865026">kinit hbaseuser</strong>.</p>
+</p></li><li id="bakmrs_01_0368__li15319111315384"><span>Run the following HBase client command:</span><p><p id="bakmrs_01_0368__p18581162753813"><strong id="bakmrs_01_0368__b11551509336">hbase shell</strong></p>
+</p></li></ol>
+</div>
+<div class="section" id="bakmrs_01_0368__section105048910387"><h4 class="sectiontitle">Common HBase client commands</h4><div class="p" id="bakmrs_01_0368__p153791717133810">The following table lists common HBase client commands. 
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="bakmrs_01_0368__table25854914381" frame="border" border="1" rules="all"><caption><b>Table 1 </b>HBase client commands</caption><thead align="left"><tr id="bakmrs_01_0368__row558413963813"><th align="left" class="cellrowborder" valign="top" width="19.36%" id="mcps1.3.5.2.1.2.3.1.1"><p id="bakmrs_01_0368__p458415973817">Command</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="80.64%" id="mcps1.3.5.2.1.2.3.1.2"><p id="bakmrs_01_0368__p115847943810">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="bakmrs_01_0368__row185847917385"><td class="cellrowborder" valign="top" width="19.36%" headers="mcps1.3.5.2.1.2.3.1.1 "><p id="bakmrs_01_0368__p155840910385">create</p>
+</td>
+<td class="cellrowborder" valign="top" width="80.64%" headers="mcps1.3.5.2.1.2.3.1.2 "><p id="bakmrs_01_0368__p175845943820">Used to create a table, for example, <strong id="bakmrs_01_0368__b13584139193813">create 'test', 'f1', 'f2', 'f3'</strong>.</p>
+</td>
+</tr>
+<tr id="bakmrs_01_0368__row1358513910387"><td class="cellrowborder" valign="top" width="19.36%" headers="mcps1.3.5.2.1.2.3.1.1 "><p id="bakmrs_01_0368__p358439103812">disable</p>
+</td>
+<td class="cellrowborder" valign="top" width="80.64%" headers="mcps1.3.5.2.1.2.3.1.2 "><p id="bakmrs_01_0368__p155841199381">Used to disable a specified table, for example, <strong id="bakmrs_01_0368__b458417912388">disable 'test'</strong>.</p>
+</td>
+</tr>
+<tr id="bakmrs_01_0368__row11585129193811"><td class="cellrowborder" valign="top" width="19.36%" headers="mcps1.3.5.2.1.2.3.1.1 "><p id="bakmrs_01_0368__p175854917387">enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="80.64%" headers="mcps1.3.5.2.1.2.3.1.2 "><p id="bakmrs_01_0368__p165851097380">Used to enable a specified table, for example, <strong id="bakmrs_01_0368__b1358559123820">enable 'test'</strong>.</p>
+</td>
+</tr>
+<tr id="bakmrs_01_0368__row45856911382"><td class="cellrowborder" valign="top" width="19.36%" headers="mcps1.3.5.2.1.2.3.1.1 "><p id="bakmrs_01_0368__p95852916383">alter</p>
+</td>
+<td class="cellrowborder" valign="top" width="80.64%" headers="mcps1.3.5.2.1.2.3.1.2 "><p id="bakmrs_01_0368__p75857915383">Used to alter the table structure. You can run the <strong id="bakmrs_01_0368__b3837104620281">alter</strong> command to add, modify, or delete column family information and table-related parameter values, for example, <strong id="bakmrs_01_0368__b15851999389">alter 'test', {NAME =&gt; 'f3', METHOD =&gt; 'delete'}</strong>.</p>
+</td>
+</tr>
+<tr id="bakmrs_01_0368__row1058515923811"><td class="cellrowborder" valign="top" width="19.36%" headers="mcps1.3.5.2.1.2.3.1.1 "><p id="bakmrs_01_0368__p55856933811">describe</p>
+</td>
+<td class="cellrowborder" valign="top" width="80.64%" headers="mcps1.3.5.2.1.2.3.1.2 "><p id="bakmrs_01_0368__p05851792382">Used to obtain the table description, for example, <strong id="bakmrs_01_0368__b05852918380">describe 'test'</strong>.</p>
+</td>
+</tr>
+<tr id="bakmrs_01_0368__row558599203810"><td class="cellrowborder" valign="top" width="19.36%" headers="mcps1.3.5.2.1.2.3.1.1 "><p id="bakmrs_01_0368__p758599133812">drop</p>
+</td>
+<td class="cellrowborder" valign="top" width="80.64%" headers="mcps1.3.5.2.1.2.3.1.2 "><p id="bakmrs_01_0368__p17585993386">Used to delete a specified table, for example, <strong id="bakmrs_01_0368__b76131127182911">drop 'test'</strong>. Before deleting a table, you must stop it.</p>
+</td>
+</tr>
+<tr id="bakmrs_01_0368__row1658510943814"><td class="cellrowborder" valign="top" width="19.36%" headers="mcps1.3.5.2.1.2.3.1.1 "><p id="bakmrs_01_0368__p15858916383">put</p>
+</td>
+<td class="cellrowborder" valign="top" width="80.64%" headers="mcps1.3.5.2.1.2.3.1.2 "><p id="bakmrs_01_0368__p1558516912386">Used to write the value of a specified cell, for example, <strong id="bakmrs_01_0368__b4313135020296">put 'test','r1','f1:c1','myvalue1'</strong>. The cell location is unique and determined by the table, row, and column.</p>
+</td>
+</tr>
+<tr id="bakmrs_01_0368__row125859913382"><td class="cellrowborder" valign="top" width="19.36%" headers="mcps1.3.5.2.1.2.3.1.1 "><p id="bakmrs_01_0368__p45854903813">get</p>
+</td>
+<td class="cellrowborder" valign="top" width="80.64%" headers="mcps1.3.5.2.1.2.3.1.2 "><p id="bakmrs_01_0368__p35851093384">Used to get the value of a row or the value of a specified cell in a row, for example, <strong id="bakmrs_01_0368__b558549153819">get 'test','r1'</strong>.</p>
+</td>
+</tr>
+<tr id="bakmrs_01_0368__row16585129193817"><td class="cellrowborder" valign="top" width="19.36%" headers="mcps1.3.5.2.1.2.3.1.1 "><p id="bakmrs_01_0368__p175859963812">scan</p>
+</td>
+<td class="cellrowborder" valign="top" width="80.64%" headers="mcps1.3.5.2.1.2.3.1.2 "><p id="bakmrs_01_0368__p65859983811">Used to query table data, for example, <strong id="bakmrs_01_0368__b8350142019312">scan 'test'</strong>. The table name and scanner must be specified in the command.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0500.html">Using HBase</a></div>
+</div>
+</div>
+
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literal 0
HcmV?d00001

diff --git a/docs/mrs/component-operation-guide/en-us_image_0000001295930232.png b/docs/mrs/component-operation-guide/en-us_image_0000001295930232.png
new file mode 100644
index 0000000000000000000000000000000000000000..51f1f16068fe6cdd9e7c69f310432adb0c8f5019
GIT binary patch
literal 824
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diff --git a/docs/mrs/component-operation-guide/en-us_image_0000001295930236.png b/docs/mrs/component-operation-guide/en-us_image_0000001295930236.png
new file mode 100644
index 0000000000000000000000000000000000000000..51f1f16068fe6cdd9e7c69f310432adb0c8f5019
GIT binary patch
literal 824
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literal 0
HcmV?d00001

diff --git a/docs/mrs/component-operation-guide/en-us_image_0000001295930260.png b/docs/mrs/component-operation-guide/en-us_image_0000001295930260.png
new file mode 100644
index 0000000000000000000000000000000000000000..5712e6faf91a5b6aab2b90f4b34e95f15237ed39
GIT binary patch
literal 330
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literal 0
HcmV?d00001

diff --git a/docs/mrs/component-operation-guide/en-us_image_0000001295930284.png b/docs/mrs/component-operation-guide/en-us_image_0000001295930284.png
new file mode 100644
index 0000000000000000000000000000000000000000..9ff3c4933f8ec8c1eac1cce4b049cb4c10a6539b
GIT binary patch
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diff --git a/docs/mrs/component-operation-guide/en-us_image_0000001296250852.jpg b/docs/mrs/component-operation-guide/en-us_image_0000001296250852.jpg
new file mode 100644
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diff --git a/docs/mrs/component-operation-guide/en-us_topic_0000001351362309.html b/docs/mrs/component-operation-guide/en-us_topic_0000001351362309.html
new file mode 100644
index 000000000..5a2941257
--- /dev/null
+++ b/docs/mrs/component-operation-guide/en-us_topic_0000001351362309.html
@@ -0,0 +1,41 @@
+<a name="EN-US_TOPIC_0000001351362309"></a><a name="EN-US_TOPIC_0000001351362309"></a>
+
+<h1 class="topictitle1">Change History</h1>
+<div id="body0000001351362309">
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="EN-US_TOPIC_0000001351362309__table33291853165213" frame="border" border="1" rules="all"><thead align="left"><tr id="EN-US_TOPIC_0000001351362309__row19355353115214"><th align="left" class="cellrowborder" valign="top" width="36.480000000000004%" id="mcps1.3.1.1.3.1.1"><p id="EN-US_TOPIC_0000001351362309__p10366753145214"><strong id="EN-US_TOPIC_0000001351362309__b9463122885818">Released On</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="63.519999999999996%" id="mcps1.3.1.1.3.1.2"><p id="EN-US_TOPIC_0000001351362309__p17387205375218"><strong id="EN-US_TOPIC_0000001351362309__b121093347582">What's New</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="EN-US_TOPIC_0000001351362309__row3420927161513"><td class="cellrowborder" valign="top" width="36.480000000000004%" headers="mcps1.3.1.1.3.1.1 "><p id="EN-US_TOPIC_0000001351362309__p1024302810551">2022-1<span id="EN-US_TOPIC_0000001351362309__ph287165915457">1</span>-<span id="EN-US_TOPIC_0000001351362309__ph6965057467">01</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="63.519999999999996%" headers="mcps1.3.1.1.3.1.2 "><p id="EN-US_TOPIC_0000001351362309__p11836115045520">Modified the following content:</p>
+<p id="EN-US_TOPIC_0000001351362309__p159491416184613">Updated the screenshots in the operation guides for ClickHouse, Ranger, Spark2x, Tez, and Yarn.</p>
+</td>
+</tr>
+<tr id="EN-US_TOPIC_0000001351362309__row47275512523"><td class="cellrowborder" valign="top" width="36.480000000000004%" headers="mcps1.3.1.1.3.1.1 "><p id="EN-US_TOPIC_0000001351362309__p283135517526">2022-09-29</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.519999999999996%" headers="mcps1.3.1.1.3.1.2 "><p id="EN-US_TOPIC_0000001351362309__p13431148124818">Added the ClickHouse component. For details, see <a href="mrs_01_2344.html">Using ClickHouse</a>.</p>
+</td>
+</tr>
+<tr id="EN-US_TOPIC_0000001351362309__row420837141512"><td class="cellrowborder" valign="top" width="36.480000000000004%" headers="mcps1.3.1.1.3.1.1 "><p id="EN-US_TOPIC_0000001351362309__p15819192261020">2021-09-20</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.519999999999996%" headers="mcps1.3.1.1.3.1.2 "><p id="EN-US_TOPIC_0000001351362309__p1646701419157">Added the Hudi component. For details, see <a href="mrs_01_24025.html">Using Hudi</a>.</p>
+</td>
+</tr>
+<tr id="EN-US_TOPIC_0000001351362309__row3354182515409"><td class="cellrowborder" valign="top" width="36.480000000000004%" headers="mcps1.3.1.1.3.1.1 "><p id="EN-US_TOPIC_0000001351362309__p1587521317552">2020-03-18</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.519999999999996%" headers="mcps1.3.1.1.3.1.2 "><ul id="EN-US_TOPIC_0000001351362309__ul13299153415554"><li id="EN-US_TOPIC_0000001351362309__li282091513486">Added the Alluxio component. For details, see <a href="mrs_01_0756.html">Using Alluxio</a>.</li><li id="EN-US_TOPIC_0000001351362309__li4514142319489">Added the Ranger component. For details, see <a href="mrs_01_0761.html">Using Ranger (MRS 1.9.2)</a>.</li></ul>
+</td>
+</tr>
+<tr id="EN-US_TOPIC_0000001351362309__row7867161619502"><td class="cellrowborder" valign="top" width="36.480000000000004%" headers="mcps1.3.1.1.3.1.1 "><p id="EN-US_TOPIC_0000001351362309__zh-cn_topic_0264269545_p4966029152913">2017-02-20</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.519999999999996%" headers="mcps1.3.1.1.3.1.2 "><p id="EN-US_TOPIC_0000001351362309__zh-cn_topic_0264269545_p66704100152913">This issue is the first official release.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0102.html b/docs/mrs/component-operation-guide/mrs_01_0102.html
new file mode 100644
index 000000000..4758cd6c6
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0102.html
@@ -0,0 +1,31 @@
+<a name="mrs_01_0102"></a><a name="mrs_01_0102"></a>
+
+<h1 class="topictitle1">Accessing MRS Manager (Versions Earlier Than MRS 3.x)</h1>
+<div id="body8662426"><div class="section" id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_section6069209810190"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_p5008660110192">Clusters of versions earlier than MRS 3.x use MRS Manager to monitor, configure, and manage clusters. You can open the MRS Manager page on the MRS console.</p>
+</div>
+<div class="section" id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_section1511920110246"><h4 class="sectiontitle">Accessing MRS manager</h4><ol id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_ol83291629132212"><li id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_li3279631122315"><span>Log in to the MRS management console.</span></li><li id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_li1327953142318"><span>In the navigation pane, choose <strong id="mrs_01_0102__b19117131134820">Clusters</strong> &gt; <strong id="mrs_01_0102__b10122731104813">Active Clusters</strong>. Click the target cluster name to access the cluster details page.</span></li><li id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_li1228063116236"><span>Click <span class="uicontrol" id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_uicontrol228033112318"><b>Access Manager</b></span>. The <span class="wintitle" id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_wintitle18244174118277"><b>Access MRS Manager</b></span> page is displayed.</span><p><ul id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_ul6119316192812"><li id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_li256535318216">If you have bound an EIP when creating a cluster,<ol type="a" id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_ol18689135562217"><li id="mrs_01_0102__en-us_topic_0264269234_li3426940141012">Select the security group to which the security group rule to be added belongs. The security group is configured when the cluster is created.</li><li id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_li0218859142216">Add a security group rule. By default, your public IP address used for accessing port 9022 is filled in the rule. To enable multiple IP address segments to access MRS Manager, see <a href="#mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_li1049410469610">6</a> to <a href="#mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_li035723593115">9</a>. If you want to view, modify, or delete a security group rule, click <span class="parmname" id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_parmname1526305314571"><b>Manage Security Group Rule</b></span>.<div class="note" id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_note132927441556"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_ul79385995810"><li id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_li19371799585">It is normal that the automatically generated public IP address is different from the local IP address and no action is required.</li><li id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_li19141812155814">If port 9022 is a Knox port, you need to enable the permission of port 9022 to access Knox for accessing MRS Manager.</li></ul>
+</div></div>
+</li><li id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_li6689115522220">Select the checkbox stating that <span class="parmvalue" id="mrs_01_0102__parmvalue828414276505"><b>I confirm that xx.xx.xx.xx is a trusted public IP address and MRS Manager can be accessed using this IP address</b></span>.</li></ol>
+</li><li id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_li1327401164410">If you have not bound an EIP when creating a cluster,<ol type="a" id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_ol88669103445"><li id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_li108661510154414">Select an available EIP from the drop-down list or click <span class="parmname" id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_parmname58661810164420"><b>Manage EIP</b></span> to create one.</li><li id="mrs_01_0102__en-us_topic_0264269234_li59591846143810">Select the security group to which the security group rule to be added belongs. The security group is configured when the cluster is created.</li><li id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_li8624509227">Add a security group rule. By default, your public IP address used for accessing port 9022 is filled in the rule. To enable multiple IP address segments to access MRS Manager, see <a href="#mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_li1049410469610">6</a> to <a href="#mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_li035723593115">9</a>. If you want to view, modify, or delete a security group rule, click <span class="parmname" id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_parmname1813517393587"><b>Manage Security Group Rule</b></span>.<div class="note" id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_note10912105992311"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_en-us_topic_0035209594_ul79385995810"><li id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_en-us_topic_0035209594_li19371799585">It is normal that the automatically generated public IP address is different from the local IP address and no action is required.</li><li id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_en-us_topic_0035209594_li19141812155814">If port 9022 is a Knox port, you need to enable the permission of port 9022 to access Knox for accessing MRS Manager.</li></ul>
+</div></div>
+</li><li id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_li1896819298447">Select the checkbox stating that <span class="parmvalue" id="mrs_01_0102__parmvalue1481104017"><b>I confirm that xx.xx.xx.xx is a trusted public IP address and MRS Manager can be accessed using this IP address</b></span>.</li></ol>
+</li></ul>
+</p></li><li id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_li637412814614"><span>Click <span class="parmvalue" id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_parmvalue14133114504618"><b>OK</b></span>. The MRS Manager login page is displayed.</span></li><li id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_li1292192714017"><span>Enter the default username <span class="parmname" id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_parmname479602711473"><b>admin</b></span> and the password set during cluster creation, and click <span class="parmvalue" id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_parmvalue15370537547"><b>Log In</b></span>. The MRS Manager page is displayed.</span></li><li id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_li1049410469610"><a name="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_li1049410469610"></a><a name="en-us_topic_0264269234_en-us_topic_0035209594_li1049410469610"></a><span>On the MRS console, click <strong id="mrs_01_0102__b56864114536">Clusters</strong> and choose <span class="parmname" id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_parmname138948113618"><b>Active Clusters</b></span>. Click the target cluster name to access the cluster details page.</span><p><div class="note" id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_note1731619556514"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_p27412810717">To assign MRS Manager access permissions to other users, follow instructions from <a href="#mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_li1049410469610">6</a> to <a href="#mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_li035723593115">9</a> to add the users' public IP addresses to the trusted range.</p>
+</div></div>
+</p></li><li id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_li55171454492"><span>Click <span class="parmvalue" id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_parmvalue951865114913"><b>Add Security Group Rule</b></span> on the right of <strong id="mrs_01_0102__b752317575419">EIP</strong>.</span></li><li id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_li157971590483"><span>On the <span class="wintitle" id="mrs_01_0102__wintitle5661144075415"><b>Add Security Group Rule</b></span> page, add the IP address segment for users to access the public network and select <span class="parmvalue" id="mrs_01_0102__parmvalue266244017541"><b>I confirm that the authorized object is a trusted public IP address range. Do not use 0.0.0.0/0. Otherwise, security risks may arise</b></span>.</span><p><p id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_p57621919535">By default, the IP address used for accessing the public network is filled. You can change the IP address segment as required. To enable multiple IP address segments, repeat steps <a href="#mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_li1049410469610">6</a> to <a href="#mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_li035723593115">9</a>. If you want to view, modify, or delete a security group rule, click <span class="parmname" id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_parmname1976131914533"><b>Manage Security Group Rule</b></span>.</p>
+</p></li><li id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_li035723593115"><a name="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_li035723593115"></a><a name="en-us_topic_0264269234_en-us_topic_0035209594_li035723593115"></a><span>Click <span class="parmvalue" id="mrs_01_0102__en-us_topic_0264269234_en-us_topic_0035209594_parmvalue13980104715312"><b>OK</b></span>.</span></li></ol>
+</div>
+<p id="mrs_01_0102__en-us_topic_0264269234_p0718101611353">If the cluster version is <strong id="mrs_01_0102__b16272122125513">MRS 1.7.2</strong> and earlier and Kerberos authentication is not enabled for the cluster, perform the following operations:</p>
+<ol id="mrs_01_0102__en-us_topic_0264269234_ol10124949123511"><li id="mrs_01_0102__en-us_topic_0264269234_li812374923513"><span>Log in to the MRS management console.</span></li><li id="mrs_01_0102__en-us_topic_0264269234_li13124134920359"><span>In the navigation pane, click <span class="uicontrol" id="mrs_01_0102__en-us_topic_0264269234_uicontrol5124449133514"><b>Clusters</b></span> and choose <span class="parmname" id="mrs_01_0102__en-us_topic_0264269234_parmname312414973515"><b>Active Clusters</b></span>. Click the target cluster name to access the cluster details page.</span></li><li id="mrs_01_0102__en-us_topic_0264269234_li121241749163514"><span>Click <strong id="mrs_01_0102__b1446310111403">Access MRS Manager</strong>.</span><p><p id="mrs_01_0102__en-us_topic_0264269234_p712412496359">After logging in to the MRS management console, you can access MRS Manager. By default, user <span class="parmname" id="mrs_01_0102__en-us_topic_0264269234_parmname812418491353"><b>admin</b></span> is used for login. You do not need to enter the password again.</p>
+</p></li></ol>
+<p id="mrs_01_0102__en-us_topic_0264269234_p912574910351">If the cluster version is <strong id="mrs_01_0102__en-us_topic_0264269234_b9125164911358">MRS 1.7.2</strong> or earlier and Kerberos authentication is enabled for the cluster, see <strong id="mrs_01_0102__b496135014414">Accessing Web Pages of Open Source Components Managed in MRS Clusters</strong> &gt; <strong id="mrs_01_0102__b126210121257">Access Using a Windows ECS</strong> in the <em id="mrs_01_0102__i12171938958">MapReduce Service User Guide</em>.</p>
+<div class="section" id="mrs_01_0102__en-us_topic_0264269234_section133194273920"><h4 class="sectiontitle">Granting the Permission to Access MRS Manager to Other Users</h4><ol id="mrs_01_0102__en-us_topic_0264269234_ol102011911388"><li id="mrs_01_0102__en-us_topic_0264269234_li1750491811399"><a name="mrs_01_0102__en-us_topic_0264269234_li1750491811399"></a><a name="en-us_topic_0264269234_li1750491811399"></a><span>On the MRS console, click <strong id="mrs_01_0102__b2068595112567">Clusters</strong> and choose <span class="parmname" id="mrs_01_0102__en-us_topic_0264269234_parmname1650416181397"><b>Active Clusters</b></span>. Click the target cluster name to access the cluster details page.</span></li><li id="mrs_01_0102__en-us_topic_0264269234_li14504181813397"><span>Click <span class="parmvalue" id="mrs_01_0102__en-us_topic_0264269234_parmvalue25049180397"><b>Add Security Group Rule</b></span> on the right of <strong id="mrs_01_0102__b13566242579">EIP</strong>.</span></li><li id="mrs_01_0102__en-us_topic_0264269234_li18505131810398"><span>On the <span class="wintitle" id="mrs_01_0102__en-us_topic_0264269234_wintitle155054187392"><b>Add Security Group Rule</b></span> page, add the IP address segment for users to access the public network and select.<span class="parmvalue" id="mrs_01_0102__en-us_topic_0264269234_parmvalue14505181820397"><b>I confirm that the authorized object is a trusted public IP address range. Do not use 0.0.0.0/0. Otherwise, security risks may arise.</b></span></span><p><p id="mrs_01_0102__en-us_topic_0264269234_p15051187393">By default, the IP address used for accessing the public network is filled. You can change the IP address segment as required. To enable multiple IP address segments, repeat steps <a href="#mrs_01_0102__en-us_topic_0264269234_li1750491811399">1</a> to <a href="#mrs_01_0102__en-us_topic_0264269234_li55051218183912">4</a>. If you want to view, modify, or delete a security group rule, click <span class="parmname" id="mrs_01_0102__en-us_topic_0264269234_parmname4505161811393"><b>Manage Security Group Rule</b></span>.</p>
+</p></li><li id="mrs_01_0102__en-us_topic_0264269234_li55051218183912"><a name="mrs_01_0102__en-us_topic_0264269234_li55051218183912"></a><a name="en-us_topic_0264269234_li55051218183912"></a><span>Click <span class="parmvalue" id="mrs_01_0102__en-us_topic_0264269234_parmvalue1850571873913"><b>OK</b></span>.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2123.html">Accessing Manager</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0130.html b/docs/mrs/component-operation-guide/mrs_01_0130.html
new file mode 100644
index 000000000..7fe61c03a
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0130.html
@@ -0,0 +1,33 @@
+<a name="mrs_01_0130"></a><a name="mrs_01_0130"></a>
+
+<h1 class="topictitle1">Using Hue (MRS 3.<em id="i16807811134919">x</em> or Later)</h1>
+<div id="body1598413132837"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_0131.html">Using Hue from Scratch</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0132.html">Accessing the Hue Web UI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0133.html">Hue Common Parameters</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0134.html">Using HiveQL Editor on the Hue Web UI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2370.html">Using the SparkSql Editor on the Hue Web UI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0135.html">Using the Metadata Browser on the Hue Web UI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0136.html">Using File Browser on the Hue Web UI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0137.html">Using Job Browser on the Hue Web UI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2371.html">Using HBase on the Hue Web UI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0138.html">Typical Scenarios</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0147.html">Hue Log Overview</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1764.html">Common Issues About Hue</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0131.html b/docs/mrs/component-operation-guide/mrs_01_0131.html
new file mode 100644
index 000000000..15c944124
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0131.html
@@ -0,0 +1,17 @@
+<a name="mrs_01_0131"></a><a name="mrs_01_0131"></a>
+
+<h1 class="topictitle1">Using Hue from Scratch</h1>
+<div id="body1598413134732"><p id="mrs_01_0131__a5534209d8dc14173acad83522e6d3a36">Hue aggregates interfaces which interact with most Apache Hadoop components and enables you to use Hadoop components with ease on a web UI. You can operate components such as HDFS, Hive, HBase, Yarn, MapReduce, Oozie, and Spark SQL on the Hue web UI.</p>
+<div class="section" id="mrs_01_0131__section12630202618440"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_0131__p1111333015011">You have installed Hue, and the Kerberos authentication cluster is in the running state.</p>
+</div>
+<div class="section" id="mrs_01_0131__section13302161334511"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0131__ol18473124685314"><li id="mrs_01_0131__li8812166235"><span>Access the Hue web UI. For details, see <a href="mrs_01_0132.html">Accessing the Hue Web UI</a>.</span></li><li id="mrs_01_0131__li874802051810"><span>In the navigation tree on the left, click the editor icon <span><img id="mrs_01_0131__image188071542102916" src="en-us_image_0000001348770605.png"></span> and choose <span class="uicontrol" id="mrs_01_0131__uicontrol1667819183018"><b>Hive</b></span>.</span></li><li id="mrs_01_0131__li55366463145244"><span>Select a Hive database from the <span class="wintitle" id="mrs_01_0131__wintitle396173155119"><b>Database</b></span> drop-down list box. The default database is <span class="parmvalue" id="mrs_01_0131__parmvalue34652220145244"><b>default</b></span>.</span><p><p id="mrs_01_0131__p43434531145244">The system displays all available tables. You can enter a keyword of the table name to search for the desired table.</p>
+</p></li><li id="mrs_01_0131__li29724435145244"><span>Click the desired table name. All columns in the table are displayed.</span></li><li id="mrs_01_0131__li62672328145244"><a name="mrs_01_0131__li62672328145244"></a><a name="li62672328145244"></a><span>Enter the HiveQL statements in the area for editing.</span><p><p id="mrs_01_0131__p2898016211519"><strong id="mrs_01_0131__b8308122114105">create table hue_table(id int,name string,company string) row format delimited fields terminated by ',' stored as textfile;</strong></p>
+</p></li><li id="mrs_01_0131__li785310218562"><span>Click <span><img id="mrs_01_0131__image152120534504" src="en-us_image_0000001349289901.jpg"></span> to execute the HiveQL statements.</span></li><li id="mrs_01_0131__li30024392115137"><span>In the command text box, enter <strong id="mrs_01_0131__b1498083553318">show tables;</strong> and click <span><img id="mrs_01_0131__image25522852115137" src="en-us_image_0000001296250224.png"></span>. Check whether the <strong id="mrs_01_0131__b89854352336">hue_table</strong> table created in <a href="#mrs_01_0131__li62672328145244">5</a> exists in the <span class="wintitle" id="mrs_01_0131__wintitle4781111618354"><b>Result</b></span>.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0130.html">Using Hue (MRS 3.x or Later)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0132.html b/docs/mrs/component-operation-guide/mrs_01_0132.html
new file mode 100644
index 000000000..d12ca30c9
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0132.html
@@ -0,0 +1,28 @@
+<a name="mrs_01_0132"></a><a name="mrs_01_0132"></a>
+
+<h1 class="topictitle1">Accessing the Hue Web UI</h1>
+<div id="body1598413135022"><div class="section" id="mrs_01_0132__sf9c6b6827b7145b081eff31b193282f3"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0132__p1476113815193">After Hue is installed in an MRS cluster, users can use Hadoop-related components on the Hue web UI.</p>
+<p id="mrs_01_0132__a8b75505cc4bb41ccbc44feeac454dd22">This section describes how to open the Hue web UI on the MRS cluster.</p>
+<div class="note" id="mrs_01_0132__n9a9623a1d07245bf96f019e55b76958c"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0132__p187461153174110">To access the Hue web UI, you are advised to use a browser that is compatible with the Hue WebUI, for example, Google Chrome 50. The Internet Explorer may be incompatible with the Hue web UI. </p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0132__s061d5c51119b4146b96b91a0495a5042"><h4 class="sectiontitle">Impact on the System</h4><p id="mrs_01_0132__aea4879b8bd36469792d5968c82656a54">Site trust must be added to the browser when you access Manager and Hue web UI for the first time. Otherwise, the Hue web UI cannot be accessed.</p>
+</div>
+<div class="section" id="mrs_01_0132__sbffe2dde8108458fa04cafc49371a793"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_0132__aa17a01c53c86450fb84ea031ebf787a0">When Kerberos authentication is enabled, the MRS cluster administrator has assigned the permission for using Hive to the user. For details, see <a href="https://docs.otc.t-systems.com/usermanual/mrs/mrs_01_0345.html" target="_blank" rel="noopener noreferrer">Creating a User</a>. For example, create a human-machine user named <span class="parmname" id="mrs_01_0132__parmname70678761062"><b>hueuser</b></span>, add the user to user groups <span class="parmname" id="mrs_01_0132__parmname1022471610628"><b>hive</b></span> (the primary group), <span class="parmname" id="mrs_01_0132__parmname72121032195920"><b>hadoop</b></span>, <span class="parmname" id="mrs_01_0132__parmname4182955185920"><b>supergroup</b></span>, and <span class="parmname" id="mrs_01_0132__parmname1113327910648"><b>System_administrator</b></span>, and assign the <span class="parmname" id="mrs_01_0132__parmname1923373608113524"><b>System_administrator</b></span> role.</p>
+<p id="mrs_01_0132__p762710300410">This user is used to log in to Manager.</p>
+</div>
+<div class="section" id="mrs_01_0132__s03aabc6eef834965add62eb571753d1d"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0132__o7d774762b9d54bea99a7f2a2e2cc825c"><li id="mrs_01_0132__li777313202051"><span>Log in to the service page.</span><p><p id="mrs_01_0132__p553210391663">For versions earlier than MRS 3.<em id="mrs_01_0132__i5706741111217">x</em>, click the cluster name on the MRS console and choose <strong id="mrs_01_0132__b1787841961218">Components</strong> &gt; <strong id="mrs_01_0132__b1487911941216">Hue</strong>.</p>
+<p id="mrs_01_0132__p78911254388">For MRS 3.<em id="mrs_01_0132__i3517742144314">x</em> or later, log in to FusionInsight Manager (for details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>) and choose <strong id="mrs_01_0132__b125173423439">Cluster </strong>&gt; <strong id="mrs_01_0132__b65172426430">Services</strong> &gt; <strong id="mrs_01_0132__b0236729101114">Hue</strong>.</p>
+</p></li><li id="mrs_01_0132__le46c25d15b43451995993a826e4450f3"><span>On the right of <span class="parmname" id="mrs_01_0132__p240f342d25624908b5c4740fb5dee8ca"><b>Hue WebUI</b></span>, click the link to open the Hue web UI.</span><p><p id="mrs_01_0132__a6e6f8d340c0843ba9a4358a348bed145">Hue WebUI provides the following functions: </p>
+<ul id="mrs_01_0132__ub8a6bff9cccb410198dbae71891f203b"><li id="mrs_01_0132__led3cd4e6e9614e28a5b0cf2d7288b472">Click <span><img id="mrs_01_0132__image188071542102916" src="en-us_image_0000001296250156.png"></span> to execute query statements of Hive and SparkSQL as well as Notebook code. Make sure that Hive and Spark2x have been installed in the MRS cluster before this operation.</li><li id="mrs_01_0132__li2514132683110">Click <span><img id="mrs_01_0132__image16662411194712" src="en-us_image_0000001349289833.png"></span> to submit workflow tasks, scheduled tasks, and bundle tasks.</li><li id="mrs_01_0132__li86273094816">Click <span><img id="mrs_01_0132__image882011164818" src="en-us_image_0000001349090353.png"></span> to view, import, and export tasks on the Hue web UI, such as workflow tasks, scheduled tasks, and bundle tasks.</li><li id="mrs_01_0132__l2b1c1bf077a7496097659b1607ccf51c">Click <span><img id="mrs_01_0132__image565191310408" src="en-us_image_0000001295770724.png"></span> to manage metadata in Hive and SparkSQL. Make sure that Hive and Spark2x have been installed in the MRS cluster before this operation.</li><li id="mrs_01_0132__l00ee4f478ccd4157b9fac1e98c77682f">Click <span><img id="mrs_01_0132__image102738913011" src="en-us_image_0000001349289837.png"></span> to view the directories and files in HDFS. Make sure that HDFS has been installed in the MRS cluster before this operation.</li><li id="mrs_01_0132__l964cb94b1a734ba4994ed59a55cb16cd">Click <span><img id="mrs_01_0132__image1575413172411" src="en-us_image_0000001295930684.png"></span> to view all jobs in the MRS cluster. Make sure that Yarn has been installed in the MRS cluster before this operation.</li><li id="mrs_01_0132__li109041046104911">Use <span><img id="mrs_01_0132__image1594416192506" src="en-us_image_0000001349170249.png"></span> to create or query HBase tables. Make sure that the HBase component has been installed in the MRS cluster and the Thrift1Server instance has been added before this operation.</li><li id="mrs_01_0132__li93330200521">Use <span><img id="mrs_01_0132__image747115561534" src="en-us_image_0000001348770541.png"></span> to import data that is in the CSV or TXT format.</li></ul>
+<div class="note" id="mrs_01_0132__n8c6a7fdfc3f8429699775f81391711e3"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0132__u3b23c85f608d4895b353c3feb1a821d5"><li id="mrs_01_0132__li114815483390">When you log in to the Hue web UI as user <strong id="mrs_01_0132__b870968122113524">hueuser</strong> for the first time, you need to change the password.</li><li id="mrs_01_0132__le1765bb475c8459b8df87a63b4dabcd0">After obtaining the URL for accessing the Hue web UI, you can give the URL to other users who cannot access MRS Manager for accessing the Hue web UI. </li><li id="mrs_01_0132__l975aee584d3b49f1acf6d12938c06801">If you perform operations on the Hue WebUI only but not on Manager, you must enter the password of the current login user when accessing Manager again.</li></ul>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0130.html">Using Hue (MRS 3.x or Later)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0133.html b/docs/mrs/component-operation-guide/mrs_01_0133.html
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+<a name="mrs_01_0133"></a><a name="mrs_01_0133"></a>
+
+<h1 class="topictitle1">Hue Common Parameters</h1>
+<div id="body1598413135027"><div class="section" id="mrs_01_0133__sbf1ae38a5a0a4383ab2c7a7c314c0418"><h4 class="sectiontitle">Page Access</h4><p id="mrs_01_0133__p11526143493219">Go to the <strong id="mrs_01_0133__b14807255151215">All Configurations</strong> page of the Hue service by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+</div>
+<div class="section" id="mrs_01_0133__s461a05072d784dbd877ed4d0f143904c"><h4 class="sectiontitle">Parameter Description</h4><p id="mrs_01_0133__p11502016185214">For details about Hue common parameters, see <a href="#mrs_01_0133__t7018ca0013604e85adf24a3af0e1e47d">Table 1</a>.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0133__t7018ca0013604e85adf24a3af0e1e47d"></a><a name="t7018ca0013604e85adf24a3af0e1e47d"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0133__t7018ca0013604e85adf24a3af0e1e47d" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Hue common parameters</caption><thead align="left"><tr id="mrs_01_0133__r6ce39319d5134f3fb66fb96b1f8d0d7f"><th align="left" class="cellrowborder" valign="top" width="29.14%" id="mcps1.3.2.3.2.5.1.1"><p id="mrs_01_0133__a653967335f634ec2aadaa7a463c0ab9f">Configuration</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="34.96%" id="mcps1.3.2.3.2.5.1.2"><p id="mrs_01_0133__acb67bd1b9a154cbc99d5b844247d1232">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="14.66%" id="mcps1.3.2.3.2.5.1.3"><p id="mrs_01_0133__a867cd9813f934cceb6c8f3a18d90c800">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="21.240000000000002%" id="mcps1.3.2.3.2.5.1.4"><p id="mrs_01_0133__a86736f77ab0441bd97d7eff78d67f059">Value Range</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0133__r49bf546209bd45fbbaea25f3f51c467b"><td class="cellrowborder" valign="top" width="29.14%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_0133__aeb5b24530a844687b88a6377af87d4c6">HANDLER_ACCESSLOG_LEVEL</p>
+</td>
+<td class="cellrowborder" valign="top" width="34.96%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_0133__aa5b4c34e514f450e9dcc3096abaa1fc4">Hue access log level.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.66%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_0133__adf7ff32f7f8d4e0ea3b704a9d755d63b">DEBUG</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.3.2.5.1.4 "><ul id="mrs_01_0133__uad2647c64ce840868a5b215aab0baded"><li id="mrs_01_0133__lbc3026bbb6e7409ab407f60e74e1e347">ERROR</li><li id="mrs_01_0133__l085e915297be4b6bbb84ddda2300033f">WARN</li><li id="mrs_01_0133__l90ca46303a1d4d41b2c7afe3a1569aad">INFO</li><li id="mrs_01_0133__l480eac3852734afa9386f4d1c25a3af9">DEBUG</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_0133__rcaa2dade3482414e83142c97b4c9c1b6"><td class="cellrowborder" valign="top" width="29.14%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_0133__a68c55b2ddb114e9c9752d6fc738c2712">HANDLER_AUDITSLOG_LEVEL</p>
+</td>
+<td class="cellrowborder" valign="top" width="34.96%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_0133__a77d5269d47954647bfd9e5ec0f84c50a">Hue audit log level.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.66%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_0133__a24a2322a7a994f3f9a7b983f59ffabca">DEBUG</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.3.2.5.1.4 "><ul id="mrs_01_0133__ub166c30fd249422eb470dc19e5e6b3a0"><li id="mrs_01_0133__lddbf176e123746e9a679619824f54142">ERROR</li><li id="mrs_01_0133__lec77e2bc5c1a41f09d0a0691e264e18b">WARN</li><li id="mrs_01_0133__lc25be13604364fdc912505defb51811c">INFO</li><li id="mrs_01_0133__l2d351801fd0d4df1b3797ba2ff5f0135">DEBUG</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_0133__r803eded6cc0145f0b756476487956531"><td class="cellrowborder" valign="top" width="29.14%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_0133__adc034fb3df8b4de68963afb9f4c6d505">HANDLER_ERRORLOG_LEVEL</p>
+</td>
+<td class="cellrowborder" valign="top" width="34.96%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_0133__a8d8e5ecd43b5467ebd1de963f9672736">Hue error log level.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.66%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_0133__ada3c1f85c55e4140997d58b2c4828d38">ERROR</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.3.2.5.1.4 "><ul id="mrs_01_0133__u1f72774e9a44443d9cec57325eb13cff"><li id="mrs_01_0133__lde3efa7cebdd44b4a05e479c14f8f96d">ERROR</li><li id="mrs_01_0133__la94488597d55405287a937833597e594">WARN</li><li id="mrs_01_0133__l98434e5366a4483e8ce0e013e7a621be">INFO</li><li id="mrs_01_0133__le65394b9d9e746d59ce6faf17fd4a9ff">DEBUG</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_0133__rb7fed52d64574ec48213f99e070eaea1"><td class="cellrowborder" valign="top" width="29.14%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_0133__a03e471016bc34ddda808d2c6140e6812">HANDLER_LOGFILE_LEVEL</p>
+</td>
+<td class="cellrowborder" valign="top" width="34.96%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_0133__a6e2ed7994da84454a5fb7ab93213d2f6">Hue run log level.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.66%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_0133__a0fb1a50ece5b4113bb22960b43fba01d">INFO</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.3.2.5.1.4 "><ul id="mrs_01_0133__u56c949ca90e74dd489371470771e431d"><li id="mrs_01_0133__l7a57fda626cd463e81acb2ff6185e30c">ERROR</li><li id="mrs_01_0133__l9b23355ce1e24b89af0c19780e17d065">WARN</li><li id="mrs_01_0133__lf059c7c335604e0a807c1dfe71349926">INFO</li><li id="mrs_01_0133__l6ea8db68a9ec4f55ac26d61f543ca73d">DEBUG</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_0133__row241181912225"><td class="cellrowborder" valign="top" width="29.14%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_0133__p28451225152214">HANDLER_LOGFILE_MAXBACKUPINDEX</p>
+</td>
+<td class="cellrowborder" valign="top" width="34.96%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_0133__p0412191972218">Maximum number of Hue log files.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.66%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_0133__p14413201917223">20</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_0133__p10413121992217">1 to 999</p>
+</td>
+</tr>
+<tr id="mrs_01_0133__row432817236"><td class="cellrowborder" valign="top" width="29.14%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_0133__p103211119239">HANDLER_LOGFILE_SIZE</p>
+</td>
+<td class="cellrowborder" valign="top" width="34.96%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_0133__p4321412233">Maximum size of a Hue log file.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.66%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_0133__p732171172310">5 MB</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_0133__p632318233">-</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0130.html">Using Hue (MRS 3.x or Later)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0134.html b/docs/mrs/component-operation-guide/mrs_01_0134.html
new file mode 100644
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+<a name="mrs_01_0134"></a><a name="mrs_01_0134"></a>
+
+<h1 class="topictitle1">Using HiveQL Editor on the Hue Web UI</h1>
+<div id="body1598413137777"><div class="section" id="mrs_01_0134__s9f93d0a70cdc4575b48c96902a562dfe"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0134__p7684161264218">Users can use the Hue web UI to execute HiveQL statements in an MRS cluster.</p>
+</div>
+<div class="section" id="mrs_01_0134__section26788191145057"><h4 class="sectiontitle">Access Editor</h4><ol id="mrs_01_0134__ol44107557145123"><li id="mrs_01_0134__li849515575276"><span>Access the Hue web UI. For details, see <a href="mrs_01_0132.html">Accessing the Hue Web UI</a>.</span></li><li id="mrs_01_0134__li32181645145123"><span>In the navigation tree on the left, click <span><img id="mrs_01_0134__image188071542102916" src="en-us_image_0000001349090381.png"></span> and choose <span class="uicontrol" id="mrs_01_0134__uicontrol10468102964715"><b>Hive</b></span>. The <span class="parmname" id="mrs_01_0134__parmname23960182145123"><b>Hive</b></span> page is displayed.</span><p><p id="mrs_01_0134__p18668164145123"><span class="parmname" id="mrs_01_0134__parmname61726564145123"><b>Hive</b></span> supports the following functions:</p>
+<ul id="mrs_01_0134__ul25945359145123"><li id="mrs_01_0134__li8151932145123">Executes and manages HiveQL statements.</li><li id="mrs_01_0134__li58461858145123">Views the HiveQL statements saved by the current user in <strong id="mrs_01_0134__b212318151321522">Saved Queries</strong>.</li><li id="mrs_01_0134__li40165519145123">Queries HiveQL statements executed by the current user in <strong id="mrs_01_0134__b5163134510167">Query History</strong>.</li></ul>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0134__section5938223214523"><h4 class="sectiontitle">Executing HiveQL Statements</h4><ol id="mrs_01_0134__ol59674238145244"><li id="mrs_01_0134__li55366463145244"><span>Select a Hive database from the <span class="wintitle" id="mrs_01_0134__en-us_topic_0272686976_wintitle396173155119"><b>Database</b></span> drop-down list box. The default database is <span class="parmvalue" id="mrs_01_0134__en-us_topic_0272686976_parmvalue34652220145244"><b>default</b></span>.</span><p><p id="mrs_01_0134__en-us_topic_0272686976_p43434531145244">The system displays all available tables. You can enter a keyword of the table name to search for the desired table.</p>
+</p></li><li id="mrs_01_0134__li29724435145244"><span>Click the desired table name. All columns in the table are displayed.</span><p><p id="mrs_01_0134__p55498498145244">Move the cursor to the row where the table or column is located and click <span><img id="mrs_01_0134__image16701686485" src="en-us_image_0000001296090540.png"></span>. Column details are displayed. </p>
+</p></li><li id="mrs_01_0134__li62672328145244"><span>Enter the query statements in the area for editing HiveQL statements.</span></li><li id="mrs_01_0134__li66282794145244"><span>Click <span><img id="mrs_01_0134__image152120534504" src="en-us_image_0000001296250188.jpg"></span> to execute the HiveQL statements.</span><p><div class="note" id="mrs_01_0134__note52103997145244"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0134__ul35615494145244"><li id="mrs_01_0134__li6209567145244">If you want to use the entered HiveQL statements again, click <span><img id="mrs_01_0134__image1548910543262" src="en-us_image_0000001348770573.png"></span> to save them.</li><li id="mrs_01_0134__li674754114817">Advanced query configuration:<p id="mrs_01_0134__p574717411482"><a name="mrs_01_0134__li674754114817"></a><a name="li674754114817"></a>Click <span><img id="mrs_01_0134__image4747241154816" src="en-us_image_0000001349170281.png"></span> in the upper right corner to configure information such as files, functions, and settings.</p>
+</li><li id="mrs_01_0134__li1174704114814">Viewing the information of shortcut keys:<p id="mrs_01_0134__p374717418489"><a name="mrs_01_0134__li1174704114814"></a><a name="li1174704114814"></a>Click <span><img id="mrs_01_0134__image42283819130" src="en-us_image_0000001349170277.png"></span> in the upper right corner to view the syntax and keyboard shortcut information.</p>
+</li><li id="mrs_01_0134__li34295104145244">To delete an entered HiveQL statement, click the triangle next to <span><img id="mrs_01_0134__image1696182111616" src="en-us_image_0000001295930712.jpg"></span> and select <span class="uicontrol" id="mrs_01_0134__uicontrol24450026145244"><b>Clear</b></span>.</li><li id="mrs_01_0134__li1580691217484">Viewing history:<p id="mrs_01_0134__p16806151215484"><a name="mrs_01_0134__li1580691217484"></a><a name="li1580691217484"></a>Click <span class="parmname" id="mrs_01_0134__parmname380691204816"><b>Query History</b></span> to view the HiveQL running status. You can view the history of all the statements or only the saved statements. If many historical records exist, you can enter keywords in the text box to search for desired records.</p>
+</li></ul>
+</div></div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0134__section3491749914539"><h4 class="sectiontitle">Viewing Execution Results</h4><ol id="mrs_01_0134__ol47679345145312"><li id="mrs_01_0134__li13016201145312"><span>View the execution results below the execution area on <span class="wintitle" id="mrs_01_0134__wintitle138688441281"><b>Hive</b></span>. The <span class="wintitle" id="mrs_01_0134__wintitle88511950987"><b>Query History</b></span> tab page is displayed by default.</span></li><li id="mrs_01_0134__li50036947145312"><span>Click a result to view the execution result of the executed statement.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_0134__section53760602145325"><h4 class="sectiontitle">Managing Query Statements</h4><ol id="mrs_01_0134__ol61171655145335"><li id="mrs_01_0134__li7136121691110"><span>Click <span class="uicontrol" id="mrs_01_0134__uicontrol17137161613119"><b>Saved Queries</b></span>.</span></li><li id="mrs_01_0134__li14253391145335"><span>Click a saved statement. The system automatically adds the statement to the editing area.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_0134__section62596142145356"><h4 class="sectiontitle">Modifying the Session Configuration of the Hue Editor</h4><ol id="mrs_01_0134__ol5177964214543"><li id="mrs_01_0134__li1502120814543"><span>On the editor page, click <span><img id="mrs_01_0134__image1931015286554" src="en-us_image_0000001349289869.jpg"></span>.</span></li><li id="mrs_01_0134__li2308899414543"><span>Click <span><img id="mrs_01_0134__image860765510554" src="en-us_image_0000001295930716.jpg"></span> on the right of <span class="parmname" id="mrs_01_0134__parmname875836814543"><b>Files</b></span>, and then click <span><img id="mrs_01_0134__image44615161571" src="en-us_image_0000001349170285.jpg"></span> to select files.</span><p><p id="mrs_01_0134__p2493506514543">You can click <span><img id="mrs_01_0134__image68051841125715" src="en-us_image_0000001295930716.jpg"></span> next to <strong id="mrs_01_0134__b348864817149">Files</strong> to add a file resource.</p>
+</p></li><li id="mrs_01_0134__li6062811414543"><span>In the <span class="parmname" id="mrs_01_0134__parmname5826919714543"><b>Functions</b></span> <span><img id="mrs_01_0134__image2056171385812" src="en-us_image_0000001295930716.jpg"></span> area, enter a user-defined name and the class name of the function.</span><p><p class="litext" id="mrs_01_0134__p6638878014543">You can click <span><img id="mrs_01_0134__image9504139185810" src="en-us_image_0000001295930716.jpg"></span> next to <strong id="mrs_01_0134__b544918312152">Functions</strong> to add a customized function.</p>
+</p></li><li id="mrs_01_0134__li6540561714543"><span>In the <span class="parmname" id="mrs_01_0134__parmname5404229102916"><b>Settings</b></span> <span><img id="mrs_01_0134__image22716685912" src="en-us_image_0000001295930716.jpg"></span> area, enter the Hive parameter name in the <span class="parmname" id="mrs_01_0134__parmname2606183214543"><b>Key</b></span>, and value in <span class="parmname" id="mrs_01_0134__parmname3322989914543"><b>Value</b></span>. The current Hive session connects to Hive based on the customized configuration.</span><p><p id="mrs_01_0134__p726729014543">You can click <span><img id="mrs_01_0134__image13973133465917" src="en-us_image_0000001295930716.jpg"></span> to add a parameter.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0130.html">Using Hue (MRS 3.x or Later)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0135.html b/docs/mrs/component-operation-guide/mrs_01_0135.html
new file mode 100644
index 000000000..6304dca77
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+++ b/docs/mrs/component-operation-guide/mrs_01_0135.html
@@ -0,0 +1,22 @@
+<a name="mrs_01_0135"></a><a name="mrs_01_0135"></a>
+
+<h1 class="topictitle1">Using the Metadata Browser on the Hue Web UI</h1>
+<div id="body1598413141179"><div class="section" id="mrs_01_0135__s005f823b53fb448aa190d542f069040f"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0135__p119731828181320">Users can use the Hue web UI to manage Hive metadata in an MRS cluster.</p>
+</div>
+<div class="section" id="mrs_01_0135__sd71c303869ac441398c55ef7b5ccf200"><h4 class="sectiontitle">Using Metadata Manager</h4><p id="mrs_01_0135__p1295134953817">Access the Hue web UI. For details, see <a href="mrs_01_0132.html">Accessing the Hue Web UI</a>.</p>
+<ul id="mrs_01_0135__u6e49bf15e77b46d8b6e6280902d75119"><li id="mrs_01_0135__le04aa16f50d044ad9529de5c94b3d2b0">Viewing metadata of Hive tables<p id="mrs_01_0135__a64364b5dcfed448983d871e881eeb634"><a name="mrs_01_0135__le04aa16f50d044ad9529de5c94b3d2b0"></a><a name="le04aa16f50d044ad9529de5c94b3d2b0"></a>Click <span><img id="mrs_01_0135__image414013237133" src="en-us_image_0000001295930724.png"></span> in the navigation tree on the left and click a table name. The metadata of the Hive table is displayed.</p>
+</li><li id="mrs_01_0135__l382b3c11a3354a369f9e9292d0d45d00">Managing metadata of Hive tables<p id="mrs_01_0135__p311263742717"><a name="mrs_01_0135__l382b3c11a3354a369f9e9292d0d45d00"></a><a name="l382b3c11a3354a369f9e9292d0d45d00"></a>On the metadata information page of a Hive table:</p>
+<ul id="mrs_01_0135__ul11920125062719"><li id="mrs_01_0135__li726413588272">Click <strong id="mrs_01_0135__b452111142182">Import</strong> in the upper right corner to import data.</li><li id="mrs_01_0135__li13714647112719">Click <span class="uicontrol" id="mrs_01_0135__uicontrol18515191262819"><b>Overview</b></span> to view the location of the table file in the <strong id="mrs_01_0135__b5464131507">PROPERTIES</strong> field.<p id="mrs_01_0135__p103071745204710">View the field information of each column in a Hive table and manually add description information. Note that the added description information is not the field comments in the Hive table.</p>
+</li><li id="mrs_01_0135__li11472828286">Click <span class="uicontrol" id="mrs_01_0135__uicontrol44738212813"><b>Sample</b></span> to browse data.</li></ul>
+</li><li id="mrs_01_0135__lace0c3ea8a674b31a306d25ee0a5dac6">Managing Hive metadata tables<p id="mrs_01_0135__a9670c1752c67416fa36f4ae1ef20bfcf"><a name="mrs_01_0135__lace0c3ea8a674b31a306d25ee0a5dac6"></a><a name="lace0c3ea8a674b31a306d25ee0a5dac6"></a>Click <span><img id="mrs_01_0135__image233915172914" src="en-us_image_0000001295770764.png"></span> in the left list to create a table based on the uploaded file in the database. You can also manually create a table.</p>
+</li></ul>
+<div class="caution" id="mrs_01_0135__note2228538205219"><span class="cautiontitle"><img src="public_sys-resources/caution_3.0-en-us.png"> </span><div class="cautionbody"><p id="mrs_01_0135__en-us_topic_0264266662_p02781117181714">The Hue page is used to view and analyze data such as files and tables. Do not perform high-risk management operations such as deleting objects on the page. If an operation is required, you are advised to perform the operation on each component after confirming that the operation has no impact on services. For example, you can use the HDFS client to perform operations on HDFS files and use the Hive client to perform operations on Hive tables.</p>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0130.html">Using Hue (MRS 3.x or Later)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0136.html b/docs/mrs/component-operation-guide/mrs_01_0136.html
new file mode 100644
index 000000000..c2b453fb4
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0136.html
@@ -0,0 +1,73 @@
+<a name="mrs_01_0136"></a><a name="mrs_01_0136"></a>
+
+<h1 class="topictitle1">Using File Browser on the Hue Web UI</h1>
+<div id="body1598413142229"><div class="section" id="mrs_01_0136__s8e39a2a37ddf4c6ea949563aa39df031"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0136__p07691152103711">Users can use the Hue web UI to manage files in HDFS.</p>
+<div class="caution" id="mrs_01_0136__note355018810224"><span class="cautiontitle"><img src="public_sys-resources/caution_3.0-en-us.png"> </span><div class="cautionbody"><p id="mrs_01_0136__en-us_topic_0264266662_p02781117181714">The Hue page is used to view and analyze data such as files and tables. Do not perform high-risk management operations such as deleting objects on the page. If an operation is required, you are advised to perform the operation on each component after confirming that the operation has no impact on services. For example, you can use the HDFS client to perform operations on HDFS files and use the Hive client to perform operations on Hive tables.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0136__section66894515326"><h4 class="sectiontitle">Accessing File Browser</h4><ol id="mrs_01_0136__ol5724487415333"><li id="mrs_01_0136__li11808133617276"><span>Access the Hue web UI. For details, see <a href="mrs_01_0132.html">Accessing the Hue Web UI</a>.</span></li><li id="mrs_01_0136__li2662927115333"><span>In the left navigation pane, click <span><img id="mrs_01_0136__image19465429133813" src="en-us_image_0000001296090492.png"></span>. The <span class="parmname" id="mrs_01_0136__parmname6860361494"><b>File Browser</b></span> page is displayed.</span><p><p id="mrs_01_0136__p6218674415333">By default, the homepage of <span class="parmname" id="mrs_01_0136__parmname3673580015333"><b>File Browser</b></span> is the home directory of the current login user. On the displayed page, the following information about subdirectories for files in the directory is displayed:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0136__table4344895415333" frame="border" border="1" rules="all"><caption><b>Table 1 </b>HDFS file attributes </caption><thead align="left"><tr id="mrs_01_0136__row4324098615333"><th align="left" class="cellrowborder" valign="top" width="30.259999999999998%" id="mcps1.3.2.2.2.2.2.2.3.1.1"><p id="mrs_01_0136__p5244785615333">Attribute</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="69.74000000000001%" id="mcps1.3.2.2.2.2.2.2.3.1.2"><p id="mrs_01_0136__p2041794715333">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0136__row3939615315333"><td class="cellrowborder" valign="top" width="30.259999999999998%" headers="mcps1.3.2.2.2.2.2.2.3.1.1 "><p id="mrs_01_0136__p4862183015333">Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.74000000000001%" headers="mcps1.3.2.2.2.2.2.2.3.1.2 "><p id="mrs_01_0136__p4605411915333">Name of a directory or file</p>
+</td>
+</tr>
+<tr id="mrs_01_0136__row4062230615333"><td class="cellrowborder" valign="top" width="30.259999999999998%" headers="mcps1.3.2.2.2.2.2.2.3.1.1 "><p id="mrs_01_0136__p3697181115333">Size</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.74000000000001%" headers="mcps1.3.2.2.2.2.2.2.3.1.2 "><p id="mrs_01_0136__p4192673415333">File size</p>
+</td>
+</tr>
+<tr id="mrs_01_0136__row4137987115333"><td class="cellrowborder" valign="top" width="30.259999999999998%" headers="mcps1.3.2.2.2.2.2.2.3.1.1 "><p id="mrs_01_0136__p207245315333">User</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.74000000000001%" headers="mcps1.3.2.2.2.2.2.2.3.1.2 "><p id="mrs_01_0136__p3365104215333">Owner of a directory or file</p>
+</td>
+</tr>
+<tr id="mrs_01_0136__row5652215215333"><td class="cellrowborder" valign="top" width="30.259999999999998%" headers="mcps1.3.2.2.2.2.2.2.3.1.1 "><p id="mrs_01_0136__p6343523615333">Group</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.74000000000001%" headers="mcps1.3.2.2.2.2.2.2.3.1.2 "><p id="mrs_01_0136__p3798050615333">Group of a directory or file</p>
+</td>
+</tr>
+<tr id="mrs_01_0136__row6065221515333"><td class="cellrowborder" valign="top" width="30.259999999999998%" headers="mcps1.3.2.2.2.2.2.2.3.1.1 "><p id="mrs_01_0136__p1489163915333">Permission</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.74000000000001%" headers="mcps1.3.2.2.2.2.2.2.3.1.2 "><p id="mrs_01_0136__p6537214315333">Permission of a directory or file</p>
+</td>
+</tr>
+<tr id="mrs_01_0136__row1543296115333"><td class="cellrowborder" valign="top" width="30.259999999999998%" headers="mcps1.3.2.2.2.2.2.2.3.1.1 "><p id="mrs_01_0136__p1388235915333">Date</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.74000000000001%" headers="mcps1.3.2.2.2.2.2.2.3.1.2 "><p id="mrs_01_0136__p5072930415333">Time when a directory or file is created</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_0136__li2970438415333"><span>In the search box, enter a keyword. The system automatically searches directories or files in the current directory.</span></li><li id="mrs_01_0136__li6601286515333"><span>Clear the search criteria. The system displays all directories or files.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_0136__section62998231540"><h4 class="sectiontitle">Performing Actions</h4><ol id="mrs_01_0136__ol5608629915410"><li id="mrs_01_0136__li4979981915410"><span>On the <strong id="mrs_01_0136__b15762134815289">File Browser</strong> page, select one or more directories or files.</span></li><li id="mrs_01_0136__li5097105315410"><span>Click <span class="uicontrol" id="mrs_01_0136__uicontrol4554518815410"><b>Actions</b></span>. On the menu that is displayed, select an operation.</span><p><ul id="mrs_01_0136__ul2803307115410"><li id="mrs_01_0136__li6528165115410"><strong id="mrs_01_0136__b152934418353">Rename</strong>: renames a directory or file.</li><li id="mrs_01_0136__li2414801915410"><strong id="mrs_01_0136__b267712519351">Move</strong>: moves a file. In <span class="wintitle" id="mrs_01_0136__wintitle5332241115410"><b>Move to</b></span>, select a new directory and click <span class="uicontrol" id="mrs_01_0136__uicontrol1013965315410"><b>Move</b></span>.</li><li id="mrs_01_0136__li983249915410"><strong id="mrs_01_0136__b6709113833510">Copy</strong>: copies the selected files or directories.</li><li id="mrs_01_0136__li5313091815410"><strong id="mrs_01_0136__b772810469350">Change permissions</strong>: changes permission to access the selected directory or file.<ul id="mrs_01_0136__ul3572959715410"><li id="mrs_01_0136__li4048708515410">You can grant the owner, the group, or other users with the <span class="parmvalue" id="mrs_01_0136__parmvalue5823496415410"><b>Read</b></span>, <span class="parmvalue" id="mrs_01_0136__parmvalue5435263215410"><b>Write</b></span>, and <span class="parmvalue" id="mrs_01_0136__parmvalue1941164515410"><b>Execute</b></span> permissions.</li><li id="mrs_01_0136__li5822843815410"><span class="parmvalue" id="mrs_01_0136__parmvalue13139548194519"><b>Sticky</b></span>: indicates that only HDFS administrators, directory owners, and file owners can move files in the directory.</li><li id="mrs_01_0136__li1888303615410"><span class="parmvalue" id="mrs_01_0136__parmvalue5429389815410"><b>Recursive</b></span>: indicates that permission is granted to subdirectories recursively.</li></ul>
+</li><li id="mrs_01_0136__li5531056815410"><strong id="mrs_01_0136__b1232955811355">Storage policies</strong>: indicates the policies for storing files or directories in HDFS.</li><li id="mrs_01_0136__li52658332163558"><strong id="mrs_01_0136__b1448835163612">Summary</strong>: indicates that the HDFS storage information about the selected file or directory can be viewed.</li></ul>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0136__section5192645015514"><h4 class="sectiontitle">Uploading User Files</h4><ol id="mrs_01_0136__ol2509437515519"><li id="mrs_01_0136__li4731510015519"><span>On the <strong id="mrs_01_0136__b3200113653817">File Browser</strong> page, click <span class="uicontrol" id="mrs_01_0136__uicontrol1271377315519"><b>Upload</b></span>.</span></li><li id="mrs_01_0136__li4007096615519"><span>In the displayed dialog box for uploading files, click <strong id="mrs_01_0136__b7158205411397">Select files</strong> or drag the file to the dialog box.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_0136__section179653215528"><h4 class="sectiontitle">Creating a New File or Directory</h4><ol id="mrs_01_0136__ol5885780115532"><li id="mrs_01_0136__li1552358215532"><span>On the <strong id="mrs_01_0136__b197931642134014">File Browser</strong> page, click <span class="uicontrol" id="mrs_01_0136__uicontrol5392062515532"><b>New</b></span>.</span></li><li id="mrs_01_0136__li6619207915532"><span>Select an operation.</span><p><ul id="mrs_01_0136__ul3718083715532"><li id="mrs_01_0136__li4240259415532"><strong id="mrs_01_0136__b1669516207366">File</strong>: creates a file. Enter a file name and click <span class="uicontrol" id="mrs_01_0136__uicontrol4945064215532"><b>Create</b></span>.</li><li id="mrs_01_0136__li4141390615532"><strong id="mrs_01_0136__b18542326143613">Directory</strong>: creates a directory. Enter a directory name and click <span class="uicontrol" id="mrs_01_0136__uicontrol1205808515532"><b>Create</b></span>.</li></ul>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0136__section1285533215178"><h4 class="sectiontitle">Storage Policy Definition and Usage</h4><div class="note" id="mrs_01_0136__n15b25d7ef75249ebade91127ef5d9786"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0136__a0b019eac34884353aa1d638920207909">If the value of Hue parameter <span class="parmname" id="mrs_01_0136__p13ae91ca343d49779d3753dcfb6fb046"><b>fs_defaultFS</b></span> is set to <span class="parmvalue" id="mrs_01_0136__pb8fa0b6f41c249b19f2614ce4d08502f"><b>viewfs://ClusterX</b></span>, the big data storage policy cannot be enabled.</p>
+</div></div>
+<p id="mrs_01_0136__p85122213912"></p>
+<ol id="mrs_01_0136__ol1643191561014"><li id="mrs_01_0136__li64317157103"><span>Log in to FusionInsight Manager.</span></li><li id="mrs_01_0136__li279017394416"><a name="mrs_01_0136__li279017394416"></a><a name="li279017394416"></a><span>On FusionInsight Manager, choose <span class="menucascade" id="mrs_01_0136__menucascade8790153912414"><b><span class="uicontrol" id="mrs_01_0136__uicontrol2790639047">System</span></b> &gt; <b><span class="uicontrol" id="mrs_01_0136__uicontrol179016391744">Permission &gt; Manage Role</span></b> &gt; <b><span class="uicontrol" id="mrs_01_0136__uicontrol179063915419">Create Role</span></b></span>.</span><p><ol type="a" id="mrs_01_0136__ol19908642941"><li id="mrs_01_0136__li1372104920420">Set <span class="parmname" id="mrs_01_0136__parmname637214491546"><b>Role Name</b></span>.</li><li id="mrs_01_0136__li1631774411412">In the <span class="wintitle" id="mrs_01_0136__wintitle461891333617"><b>Configure Resource Permission</b></span> area, choose <em id="mrs_01_0136__i1821518912468">Name of the desired cluster</em> &gt; <strong id="mrs_01_0136__b15640131374614">Hue</strong>, select <strong id="mrs_01_0136__b9402201994618">Storage Policy Admin</strong>, and click <strong id="mrs_01_0136__b112261325144610">OK</strong>. Then, grant the permission to the role.</li></ol>
+</p></li><li id="mrs_01_0136__li1531874419141"><a name="mrs_01_0136__li1531874419141"></a><a name="li1531874419141"></a><span>Choose <strong id="mrs_01_0136__b1319314338479">System</strong> &gt; <strong id="mrs_01_0136__b1493753434717">Permission</strong> &gt; <strong id="mrs_01_0136__b1496543654712">User Group</strong> &gt; <strong id="mrs_01_0136__b1221013924720">Create User Group</strong>. Set <span class="parmname" id="mrs_01_0136__parmname17318244121411"><b>Group Name</b></span> and click <strong id="mrs_01_0136__b986619613479">Select and Add Role</strong> next to <strong id="mrs_01_0136__b1086612624711">Role</strong>. On the displayed page, select the role created in <a href="#mrs_01_0136__li279017394416">2</a> and click <span class="uicontrol" id="mrs_01_0136__uicontrol1831804414147"><b>OK</b></span> to add the role to the group.</span></li><li id="mrs_01_0136__li107181338865"><span>Choose <strong id="mrs_01_0136__b289821184813">System</strong> &gt; <strong id="mrs_01_0136__b290341113489">Permission</strong> &gt; <strong id="mrs_01_0136__b090571144812">User</strong> &gt; <strong id="mrs_01_0136__b090510115484">Create</strong>.</span><p><ol type="a" id="mrs_01_0136__ol18144184315610"><li id="mrs_01_0136__li07907491266"><strong id="mrs_01_0136__b480624124010">Username</strong>: Enter the name of the user to be added.</li><li id="mrs_01_0136__li17125128972">Set <span class="parmname" id="mrs_01_0136__parmname131261481710"><b>User Type</b></span> to <span class="parmvalue" id="mrs_01_0136__parmvalue8126118172"><b>Human-machine</b></span>.</li><li id="mrs_01_0136__li1697101511711">Set <span class="parmname" id="mrs_01_0136__parmname14971161519720"><b>Password</b></span> and <span class="parmname" id="mrs_01_0136__parmname16971715074"><b>Confirm Password</b></span> for logging in to the Hue web UI.</li><li id="mrs_01_0136__li14295925772">Click <strong id="mrs_01_0136__b17385185813527">Add</strong> next to <strong id="mrs_01_0136__b218712115318">User Group</strong>. On the page that is displayed, select the user group created in <a href="#mrs_01_0136__li1531874419141">3</a>, <strong id="mrs_01_0136__b17771171119534">supergroup</strong>, <strong id="mrs_01_0136__b2047691314539">hadoop</strong>, and <strong id="mrs_01_0136__b2089241815531">hive</strong>, and click <strong id="mrs_01_0136__b4569102045319">OK</strong>.</li><li id="mrs_01_0136__li1784211272713">Set <strong id="mrs_01_0136__b16296142655319">Primary Group</strong> to <strong id="mrs_01_0136__b18858731155319">hive</strong>.</li><li id="mrs_01_0136__li747115491711">Click <strong id="mrs_01_0136__b103393388538">Add</strong> on the right of <strong id="mrs_01_0136__b289174125312">Role</strong>. On the page that is displayed, select the role created in <a href="#mrs_01_0136__li279017394416">2</a> and <strong id="mrs_01_0136__b1728210465535">System_administrator</strong> role, and click <strong id="mrs_01_0136__b1811911497531">OK</strong>.</li><li id="mrs_01_0136__li1831874416146">Click <span class="uicontrol" id="mrs_01_0136__uicontrol0318154415141"><b>OK</b></span>. The user is added successfully.</li></ol>
+</p></li><li id="mrs_01_0136__li173188444145"><span>Access the Hue web UI as the created user. For details, see <a href="mrs_01_0132.html">Accessing the Hue Web UI</a>.</span></li><li id="mrs_01_0136__li1731834451419"><span>In the left navigation tree, click <span><img id="mrs_01_0136__image16162513204016" src="en-us_image_0000001349170229.png"></span>. The <span class="parmname" id="mrs_01_0136__parmname518011212409"><b>File Browser</b></span> page is displayed.</span></li><li id="mrs_01_0136__li1631854461414"><span>Select the check box of the directory and click <span class="uicontrol" id="mrs_01_0136__uicontrol1069814528264"><b>Actions</b></span> on the top of the page. Choose <span class="parmvalue" id="mrs_01_0136__parmvalue1869875215269"><b>Storage policies</b></span>.</span></li><li id="mrs_01_0136__li1231813448147"><span>In the dialog box that is displayed, set a new storage policy and click <strong id="mrs_01_0136__b16330458551">OK</strong>.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0130.html">Using Hue (MRS 3.x or Later)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0137.html b/docs/mrs/component-operation-guide/mrs_01_0137.html
new file mode 100644
index 000000000..91b931976
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@@ -0,0 +1,81 @@
+<a name="mrs_01_0137"></a><a name="mrs_01_0137"></a>
+
+<h1 class="topictitle1">Using Job Browser on the Hue Web UI</h1>
+<div id="body1598413146437"><div class="section" id="mrs_01_0137__s7a10ee0f9000445c81af7b89640f1539"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0137__p103293276816">Users can use the Hue web UI to query all jobs in an MRS cluster.</p>
+</div>
+<div class="section" id="mrs_01_0137__section5797126615627"><h4 class="sectiontitle">Accessing Job Browser</h4><ol id="mrs_01_0137__ol3455717515634"><li id="mrs_01_0137__li163561324511"><span>Access the Hue web UI. For details, see <a href="mrs_01_0132.html">Accessing the Hue Web UI</a>.</span></li><li id="mrs_01_0137__li1121682915634"><span>Click <span><img id="mrs_01_0137__image1575413172411" src="en-us_image_0000001295930704.png"></span>.</span><p><div class="p" id="mrs_01_0137__p048993010920">View the jobs in the current cluster.<div class="note" id="mrs_01_0137__note5689580915634"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0137__p3614791815634">The number on <strong id="mrs_01_0137__b77304495114">Job Browser</strong> indicates the total number of jobs in the cluster.</p>
+</div></div>
+</div>
+<p id="mrs_01_0137__p4515784215634"><strong id="mrs_01_0137__b12691431914">Job Browser</strong> displays the following job information:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0137__table1535121615634" frame="border" border="1" rules="all"><caption><b>Table 1 </b>MRS job attributes</caption><thead align="left"><tr id="mrs_01_0137__row3653459615634"><th align="left" class="cellrowborder" valign="top" width="30.64%" id="mcps1.3.2.2.2.2.3.2.3.1.1"><p id="mrs_01_0137__p6208203415634">Attribute</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="69.36%" id="mcps1.3.2.2.2.2.3.2.3.1.2"><p id="mrs_01_0137__p6258888115634">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0137__row4179649115634"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.2.2.2.3.2.3.1.1 "><p id="mrs_01_0137__p757542315634">Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.2.2.2.3.2.3.1.2 "><p id="mrs_01_0137__p962955515634">Job name</p>
+</td>
+</tr>
+<tr id="mrs_01_0137__row1353551551116"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.2.2.2.3.2.3.1.1 "><p id="mrs_01_0137__p8120163020118">User</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.2.2.2.3.2.3.1.2 "><p id="mrs_01_0137__p18121730151110">User who starts a job</p>
+</td>
+</tr>
+<tr id="mrs_01_0137__row5785170415634"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.2.2.2.3.2.3.1.1 "><p id="mrs_01_0137__p3007262415634"><span id="mrs_01_0137__text1271111893110">Type</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.2.2.2.3.2.3.1.2 "><p id="mrs_01_0137__p4545346115634">Job type</p>
+</td>
+</tr>
+<tr id="mrs_01_0137__row3636957415634"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.2.2.2.3.2.3.1.1 "><p id="mrs_01_0137__p5547641915634">Status</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.2.2.2.3.2.3.1.2 "><p id="mrs_01_0137__p4353124015634">Job status, including <span class="parmvalue" id="mrs_01_0137__parmvalue6440495915634"><b>Succeeded</b></span>, <span class="parmvalue" id="mrs_01_0137__parmvalue98161543141211"><b>Running</b></span>, and <span class="parmvalue" id="mrs_01_0137__parmvalue871415546126"><b>Failed</b></span>.</p>
+</td>
+</tr>
+<tr id="mrs_01_0137__row5762128115634"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.2.2.2.3.2.3.1.1 "><p id="mrs_01_0137__p4448132181118">Progress</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.2.2.2.3.2.3.1.2 "><p id="mrs_01_0137__p134466210115">Job running progress</p>
+</td>
+</tr>
+<tr id="mrs_01_0137__row168771837141319"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.2.2.2.3.2.3.1.1 "><p id="mrs_01_0137__p88786374131">Group</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.2.2.2.3.2.3.1.2 "><p id="mrs_01_0137__p15878113741316">Group to which a job belongs</p>
+</td>
+</tr>
+<tr id="mrs_01_0137__row20309191171416"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.2.2.2.3.2.3.1.1 "><p id="mrs_01_0137__p1131013110146">Start</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.2.2.2.3.2.3.1.2 "><p id="mrs_01_0137__p1031017117149">Start time of a job</p>
+</td>
+</tr>
+<tr id="mrs_01_0137__row3625261215634"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.2.2.2.3.2.3.1.1 "><p id="mrs_01_0137__p6055795215634">Duration</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.2.2.2.3.2.3.1.2 "><p id="mrs_01_0137__p624709415634">Job running duration</p>
+</td>
+</tr>
+<tr id="mrs_01_0137__row4245889915634"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.2.2.2.3.2.3.1.1 "><p id="mrs_01_0137__p51548610156">Id</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.2.2.2.3.2.3.1.2 "><p id="mrs_01_0137__p13154066151">Job ID, which is generated by the system automatically.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_0137__note5096540515634"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0137__p3548898415634">If the MRS cluster has Spark, the <span class="parmname" id="mrs_01_0137__parmname394322015634"><b>Spark-JDBCServer</b></span> job is started by default to execute tasks.</p>
+</div></div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0137__section1851936815652"><h4 class="sectiontitle">Searching for Jobs</h4><ol id="mrs_01_0137__ol685764615656"><li id="mrs_01_0137__li6387950815656"><span>In the search box of <strong id="mrs_01_0137__b1628511574194">Job Browser</strong>, enter the specified character. The system automatically searches for all jobs that contain the keyword by ID, name, or user.</span></li><li id="mrs_01_0137__li3804466215656"><span>Clear the search criteria. The system displays all jobs.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_0137__section145630421574"><h4 class="sectiontitle">Querying Job Details</h4><ol id="mrs_01_0137__ol347766581577"><li id="mrs_01_0137__li464807961577"><span>In the job list on the <strong id="mrs_01_0137__b116498510585">Job Browser</strong> page, click the row that contains the desired job to view details.</span></li><li id="mrs_01_0137__li262336941577"><span>On the <span class="parmname" id="mrs_01_0137__parmname156739841577"><b>Metadata</b></span> tab page, you can view the metadata of the job.</span><p><div class="note" id="mrs_01_0137__note178279351577"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0137__p616332051577">You can click <span class="uicontrol" id="mrs_01_0137__uicontrol38607955813"><b>Log</b></span> to open the job running log.</p>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0130.html">Using Hue (MRS 3.x or Later)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0138.html b/docs/mrs/component-operation-guide/mrs_01_0138.html
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+<a name="mrs_01_0138"></a><a name="mrs_01_0138"></a>
+
+<h1 class="topictitle1">Typical Scenarios</h1>
+<div id="body1598413146438"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_0139.html">HDFS on Hue</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0141.html">Hive on Hue</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0144.html">Oozie on Hue</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0130.html">Using Hue (MRS 3.x or Later)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0139.html b/docs/mrs/component-operation-guide/mrs_01_0139.html
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+<a name="mrs_01_0139"></a><a name="mrs_01_0139"></a>
+
+<h1 class="topictitle1">HDFS on Hue</h1>
+<div id="body1598413146607"><p id="mrs_01_0139__a5534209d8dc14173acad83522e6d3a36">Hue provides the file browser function for users to use HDFS in GUI mode.</p>
+<div class="caution" id="mrs_01_0139__note12618194915138"><span class="cautiontitle"><img src="public_sys-resources/caution_3.0-en-us.png"> </span><div class="cautionbody"><p id="mrs_01_0139__en-us_topic_0264266662_p02781117181714">The Hue page is used to view and analyze data such as files and tables. Do not perform high-risk management operations such as deleting objects on the page. If an operation is required, you are advised to perform the operation on each component after confirming that the operation has no impact on services. For example, you can use the HDFS client to perform operations on HDFS files and use the Hive client to perform operations on Hive tables.</p>
+</div></div>
+<div class="section" id="mrs_01_0139__sb87758e0a6b04d26a890862be1ce8e54"><h4 class="sectiontitle">How to Use File Browser</h4><p id="mrs_01_0139__p147739295270">Access the Hue web UI. For details, see <a href="mrs_01_0132.html">Accessing the Hue Web UI</a>.</p>
+<p id="mrs_01_0139__p195455464411">Click <span><img id="mrs_01_0139__image141581818151917" src="en-us_image_0000001349090345.png"></span>. The <strong id="mrs_01_0139__b9667204510235">File Browser</strong> page is displayed. You can perform the following operations:</p>
+</div>
+<ul id="mrs_01_0139__u8b2312982e094dfca917d62e6a7001a2"><li id="mrs_01_0139__l6c376e7235954b50ace38de2868e83a6">Viewing files or directories<p id="mrs_01_0139__a3dbdbaa61ab0467396afddbde1adad54"><a name="mrs_01_0139__l6c376e7235954b50ace38de2868e83a6"></a><a name="l6c376e7235954b50ace38de2868e83a6"></a>By default, the directory and files in the directory of the login user are displayed. You can view <span class="parmname" id="mrs_01_0139__parmname1063151617185"><b>Name</b></span>, <span class="parmname" id="mrs_01_0139__p78184ca384144648a67602c6ff5093d9"><b>Size</b></span>, <span class="parmname" id="mrs_01_0139__p5fb70810bd314ee69c166a771747be1d"><b>User</b></span>, <span class="parmname" id="mrs_01_0139__pdf9b88ffe92c44b08f01c80b5086c681"><b>Group</b></span>,<span class="parmname" id="mrs_01_0139__pcc1f0bf729a64d7cae8bf089c8f75367"><b>Permission</b></span>, and <span class="parmname" id="mrs_01_0139__p114cacc9aae94d0897abf1414277fbcb"><b>Date</b></span>.</p>
+<p id="mrs_01_0139__a97edd01002a1425880482c643ab0936b">Click a file name to view the text information or binary data in the text file. The file content can be edited.</p>
+<p id="mrs_01_0139__a76623dc2e58b4518898cfcbc734de4a3">If there are a large number of files and directories, you can enter keywords in the search text box to search for specific files or directories.</p>
+</li><li id="mrs_01_0139__l823256df5da24bd78450a913f6bc8c2d">Creating files or directories<p id="mrs_01_0139__ab6ef148f0be340fdbba6cb720c36a9aa"><a name="mrs_01_0139__l823256df5da24bd78450a913f6bc8c2d"></a><a name="l823256df5da24bd78450a913f6bc8c2d"></a>Click <span class="uicontrol" id="mrs_01_0139__u8a738585d76a422b938285e635c2f27c"><b>New</b></span> in the upper right corner. Choose <span class="uicontrol" id="mrs_01_0139__u32ab7ed214504d019f1f6557840c88b0"><b>File</b></span> to create the file. Choose <span class="uicontrol" id="mrs_01_0139__u0da3ec7057f9441692ffd8f0656a31ed"><b>Directory</b></span> to create a directory.</p>
+</li><li id="mrs_01_0139__l812e770e7e3d448b9b80074494f75a15">Managing files or directories<p id="mrs_01_0139__a89754b2a5e754f8e8f086131e8b7f461"><a name="mrs_01_0139__l812e770e7e3d448b9b80074494f75a15"></a><a name="l812e770e7e3d448b9b80074494f75a15"></a>Select the check box of a file or director, and click <strong id="mrs_01_0139__b4158093210">Actions</strong>. In the displayed menu, choose <span class="uicontrol" id="mrs_01_0139__u9324c26ac05b46009cd967de6df64f0e"><b>Rename</b></span>, <span class="uicontrol" id="mrs_01_0139__u1adbf37545ce492583671076c6134200"><b>Move</b></span>, <span class="uicontrol" id="mrs_01_0139__uff2f930e50ea46e78187d49248bfd0f7"><b>Copy</b></span>, and <span class="uicontrol" id="mrs_01_0139__uicontrol143551348102019"><b>Change permissions</b></span> to rename, move, copy, or change the file or directory permissions.</p>
+</li><li id="mrs_01_0139__la7fc492e14fe401da5a02e3c1f08dfd8">Uploading files<p id="mrs_01_0139__aa7bd186712484f0b8af1c7f85ee3fa39"><a name="mrs_01_0139__la7fc492e14fe401da5a02e3c1f08dfd8"></a><a name="la7fc492e14fe401da5a02e3c1f08dfd8"></a>Click <span class="uicontrol" id="mrs_01_0139__uba6be93a957a42e9ad63a05344c8eea7"><b>Upload</b></span> in the upper right corner and click <strong id="mrs_01_0139__b83572064249">Select files</strong> or drag the file to the window.</p>
+</li></ul>
+<div class="section" id="mrs_01_0139__s0627974a2ebf4c8592ca09d0cf13f416"><h4 class="sectiontitle">How to Use Storage Policies</h4><div class="note" id="mrs_01_0139__n15b25d7ef75249ebade91127ef5d9786"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0139__a0b019eac34884353aa1d638920207909">If the value of Hue parameter <span class="parmname" id="mrs_01_0139__p13ae91ca343d49779d3753dcfb6fb046"><b>fs_defaultFS</b></span> is set to <span class="parmvalue" id="mrs_01_0139__pb8fa0b6f41c249b19f2614ce4d08502f"><b>viewfs://ClusterX</b></span>, the big data storage policy cannot be enabled.</p>
+</div></div>
+<p id="mrs_01_0139__a9f9fc2be7c2e4990ab8c498d71122fe2"><strong id="mrs_01_0139__b153265310815">Storage policies on the Hue web UI are classified into the following two types:</strong></p>
+<ul id="mrs_01_0139__u1cfad4f0555e4df09c647d76b10101fd"><li id="mrs_01_0139__le6ac343eef5c4d81a35dca2b514a9758">Static Storage Policies<p id="mrs_01_0139__p132199241397"><a name="mrs_01_0139__le6ac343eef5c4d81a35dca2b514a9758"></a><a name="le6ac343eef5c4d81a35dca2b514a9758"></a>Current storage policy</p>
+<p id="mrs_01_0139__p17631737185412">According to the access frequency and importance of documents in HDFS, specify a storage policy for an HDFS directory, such as ONE_SSD or ALL_SSD. The files in this directory can be migrated to the storage media.</p>
+</li><li id="mrs_01_0139__lf67b4ce998a8408c802f36dfcc913482">Dynamic Storage Policies<p id="mrs_01_0139__a1c8f4ebe4ae04f499fe3605c6ea1b6f5"><a name="mrs_01_0139__lf67b4ce998a8408c802f36dfcc913482"></a><a name="lf67b4ce998a8408c802f36dfcc913482"></a>Set rules for an HDFS directory. The system can automatically change the storage policy, the number of file copies, migrate the file directory..</p>
+<p id="mrs_01_0139__p33997374130">Before configuring a dynamic storage policy on the Hue WebUI, you must set the CRON expressions for cold and hot data migration and start automatic cold and hot data migration on Manager.</p>
+<p id="mrs_01_0139__a4ec26c290b2d41c5926e8eb738a730fe">Operations:</p>
+<p id="mrs_01_0139__p14672135613812">Modify the following NameNode parameters of HDFS. For details, see <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0139__table1714002612211" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_0139__row1014012261228"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.5.4.2.5.1.4.1.1"><p id="mrs_01_0139__p121402261425">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="48.874887488748875%" id="mcps1.3.5.4.2.5.1.4.1.2"><p id="mrs_01_0139__p1914116262026">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="17.791779177917793%" id="mcps1.3.5.4.2.5.1.4.1.3"><p id="mrs_01_0139__p4141162617213">Example Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0139__row114114261828"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.4.2.5.1.4.1.1 "><p id="mrs_01_0139__p61416261024">dfs.auto.data.mover.enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.874887488748875%" headers="mcps1.3.5.4.2.5.1.4.1.2 "><p id="mrs_01_0139__p16141926622">Whether to enable automatic hot and cold data migration. The default value is <strong id="mrs_01_0139__b696013115303">false</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.791779177917793%" headers="mcps1.3.5.4.2.5.1.4.1.3 "><p id="mrs_01_0139__p151411026726">true</p>
+</td>
+</tr>
+<tr id="mrs_01_0139__row131412261023"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.4.2.5.1.4.1.1 "><p id="mrs_01_0139__p314172614219">dfs.auto.data.mover.cron.expression</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.874887488748875%" headers="mcps1.3.5.4.2.5.1.4.1.2 "><p id="mrs_01_0139__p1014132617216">CRON expression for hot and cold data migration in HDFS, which is used to control the start time of data migration. This parameter is available only when <strong id="mrs_01_0139__b164138777542758">dfs.auto.data.mover.enable</strong> is set to <strong id="mrs_01_0139__b210988932042758">true</strong>. The default value is <strong id="mrs_01_0139__b112836542142758">0 * * * *</strong>, indicating that the task is executed on the hour.</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.791779177917793%" headers="mcps1.3.5.4.2.5.1.4.1.3 "><p id="mrs_01_0139__p714118265217">0 * * * *</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_0139__a63fed4a31ab54e018d01338b69efaca0"><a href="#mrs_01_0139__t91112612806f4a4593c025e032e333ff">Table 1</a> describes the expression for modifying the <strong id="mrs_01_0139__b1257911463518">dfs.auto.data.mover.cron.expression</strong> parameter. <span class="parmname" id="mrs_01_0139__peef132c72aa342beab887594a9090469"><b>*</b></span> indicates consecutive time segments.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0139__t91112612806f4a4593c025e032e333ff"></a><a name="t91112612806f4a4593c025e032e333ff"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0139__t91112612806f4a4593c025e032e333ff" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters in the execution expression</caption><thead align="left"><tr id="mrs_01_0139__r65e7aa5a86244dcaa6eb1428cdc861a0"><th align="left" class="cellrowborder" valign="top" width="34.589999999999996%" id="mcps1.3.5.4.2.7.2.3.1.1"><p id="mrs_01_0139__a94657044056543f598c8c29be021b97d">Column</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="65.41%" id="mcps1.3.5.4.2.7.2.3.1.2"><p id="mrs_01_0139__adb7a0ffbbb374c89b3f8d03fbadc1300">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0139__rd17d76e7890d4ff2b65e6d32b3ab497f"><td class="cellrowborder" valign="top" width="34.589999999999996%" headers="mcps1.3.5.4.2.7.2.3.1.1 "><p id="mrs_01_0139__a0f1de68323234872b4d757d773e2531b">1</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.41%" headers="mcps1.3.5.4.2.7.2.3.1.2 "><p id="mrs_01_0139__a695e21a312d74a3ea400ae2ee9dc9d17">Minute. The value ranges from 0 to 59.</p>
+</td>
+</tr>
+<tr id="mrs_01_0139__r5d217aad88744982bc67cd206a8266ed"><td class="cellrowborder" valign="top" width="34.589999999999996%" headers="mcps1.3.5.4.2.7.2.3.1.1 "><p id="mrs_01_0139__ae7b8c0b77ea44748a8d34267e6816235">2</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.41%" headers="mcps1.3.5.4.2.7.2.3.1.2 "><p id="mrs_01_0139__ae4f0da2fd66f4511a673e18e7647b1a3">Hour. The value ranges from 0 to 23.</p>
+</td>
+</tr>
+<tr id="mrs_01_0139__radb5b952553547f8a2831d444b43e066"><td class="cellrowborder" valign="top" width="34.589999999999996%" headers="mcps1.3.5.4.2.7.2.3.1.1 "><p id="mrs_01_0139__adddb9ea2f6d946518c7717cd2f184aac">3</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.41%" headers="mcps1.3.5.4.2.7.2.3.1.2 "><p id="mrs_01_0139__a2a24bd3df9754bccb92d0b1d806e5bc8">Date. The value ranges from 1 to 31.</p>
+</td>
+</tr>
+<tr id="mrs_01_0139__r14cffae84f884f148cbb720343c63c55"><td class="cellrowborder" valign="top" width="34.589999999999996%" headers="mcps1.3.5.4.2.7.2.3.1.1 "><p id="mrs_01_0139__a2d133202ab0248a0a0e0ccc2f99a8f55">4</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.41%" headers="mcps1.3.5.4.2.7.2.3.1.2 "><p id="mrs_01_0139__ac9182e34800d41a480744742663dfa88">Month. The value ranges from 1 to 12.</p>
+</td>
+</tr>
+<tr id="mrs_01_0139__r34b3328dd68d4e868782805dfa192dab"><td class="cellrowborder" valign="top" width="34.589999999999996%" headers="mcps1.3.5.4.2.7.2.3.1.1 "><p id="mrs_01_0139__a4392e57000354273904a2f7915c80f54">5</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.41%" headers="mcps1.3.5.4.2.7.2.3.1.2 "><p id="mrs_01_0139__ad970285cd35049cda5021b0c0ea9fdb6">Week. The value ranges from 0 to 6. <strong id="mrs_01_0139__b10638452181420">0</strong> indicates Sunday.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+<p id="mrs_01_0139__ad355e8d05f234fe9b6ad78b4d4593603"><strong id="mrs_01_0139__b577125713145">To set storage policies on the web UI, perform the following operations:</strong></p>
+<ol id="mrs_01_0139__ol650918123331"><li id="mrs_01_0139__li13533607104"><span>Log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>.</span></li></ol><ol start="2" id="mrs_01_0139__oda77a7baa4c14244bb98b12cadcc7d20"><li id="mrs_01_0139__li0303144818353"><a name="mrs_01_0139__li0303144818353"></a><a name="li0303144818353"></a><span>On FusionInsight Manager, choose <span class="menucascade" id="mrs_01_0139__en-us_topic_0272686981_menucascade8790153912414"><b><span class="uicontrol" id="mrs_01_0139__en-us_topic_0272686981_uicontrol2790639047">System</span></b> &gt; <b><span class="uicontrol" id="mrs_01_0139__en-us_topic_0272686981_uicontrol179016391744">Permission &gt; Role</span></b> &gt; <b><span class="uicontrol" id="mrs_01_0139__en-us_topic_0272686981_uicontrol179063915419">Create Role</span></b></span>.</span><p><ol type="a" id="mrs_01_0139__en-us_topic_0272686981_ol19908642941"><li id="mrs_01_0139__en-us_topic_0272686981_li1372104920420">Set <span class="parmname" id="mrs_01_0139__en-us_topic_0272686981_parmname637214491546"><b>Role Name</b></span>.</li><li id="mrs_01_0139__en-us_topic_0272686981_li1631774411412">In the <span class="wintitle" id="mrs_01_0139__en-us_topic_0272686981_wintitle461891333617"><b>Configure Resource Permission</b></span> area, choose <em id="mrs_01_0139__i25625440255">Name of the desired cluster</em> &gt; <strong id="mrs_01_0139__b1556254432519">Hue</strong>, select <strong id="mrs_01_0139__b156314412251">Storage Policy Admin</strong>, and click <span class="uicontrol" id="mrs_01_0139__en-us_topic_0272686981_uicontrol43171044191411"><b>OK</b></span>. Then, grant the permission to the role.</li></ol>
+</p></li><li id="mrs_01_0139__lad19ed90dd11448a8fc79c41d59f7cb1"><a name="mrs_01_0139__lad19ed90dd11448a8fc79c41d59f7cb1"></a><a name="lad19ed90dd11448a8fc79c41d59f7cb1"></a><span>Choose <strong id="mrs_01_0139__b98561952191810">System</strong> &gt; <strong id="mrs_01_0139__b17862145211184">Permission</strong> &gt; <strong id="mrs_01_0139__b58634528181">User Group</strong> &gt; <strong id="mrs_01_0139__b1186418525186">Create User Group</strong>. Set <span class="parmname" id="mrs_01_0139__p1ff829af05b948e19ef78b5f1217638a"><b>Group Name</b></span>, and click <strong id="mrs_01_0139__b10865175211180">Add</strong> next to <strong id="mrs_01_0139__b12865852101818">Role</strong>. On the displayed page, select the created role, click <span class="uicontrol" id="mrs_01_0139__u58daa1c0aaad4181a324feb2e50e76d2"><b>OK</b></span> to add the role to the group, and click <strong id="mrs_01_0139__b36527416309">OK</strong>.</span></li><li id="mrs_01_0139__li121818284818"><span>Choose <strong id="mrs_01_0139__b11522113911196">System</strong> &gt; <strong id="mrs_01_0139__b85271539181914">Permission</strong> &gt; <strong id="mrs_01_0139__b6527113917198">User</strong> &gt; <strong id="mrs_01_0139__b3527123913193">Create</strong>.</span><p><ol type="a" id="mrs_01_0139__en-us_topic_0272686981_ol18144184315610"><li id="mrs_01_0139__en-us_topic_0272686981_li07907491266"><span class="parmname" id="mrs_01_0139__en-us_topic_0272686981_parmname1979064914620"><b>Username</b></span>: Enter the name of the user to be added.</li><li id="mrs_01_0139__en-us_topic_0272686981_li17125128972">Set <span class="parmname" id="mrs_01_0139__en-us_topic_0272686981_parmname131261481710"><b>User Type</b></span> to <span class="parmvalue" id="mrs_01_0139__parmvalue181581763217"><b>Human-machine</b></span>.</li><li id="mrs_01_0139__en-us_topic_0272686981_li1697101511711">Set <span class="parmname" id="mrs_01_0139__en-us_topic_0272686981_parmname14971161519720"><b>Password</b></span> and <span class="parmname" id="mrs_01_0139__en-us_topic_0272686981_parmname16971715074"><b>Confirm Password</b></span> for logging in to the Hue web UI.</li><li id="mrs_01_0139__en-us_topic_0272686981_li14295925772">Click <strong id="mrs_01_0139__b18666149183318">Add</strong> next to <strong id="mrs_01_0139__b116713920334">User Group</strong>. On the page that is displayed, select the created user group in <a href="#mrs_01_0139__lad19ed90dd11448a8fc79c41d59f7cb1">3</a>, <strong id="mrs_01_0139__b0672995335">supergroup</strong>, <strong id="mrs_01_0139__b1167217913339">hadoop</strong>, and <strong id="mrs_01_0139__b667289173316">hive</strong>, and click <strong id="mrs_01_0139__b4672295332">OK</strong>.</li><li id="mrs_01_0139__en-us_topic_0272686981_li1784211272713">Set <span class="parmname" id="mrs_01_0139__en-us_topic_0272686981_parmname254019322076"><b>Primary Group</b></span> to <strong id="mrs_01_0139__b1750504710331">hive</strong>.</li><li id="mrs_01_0139__en-us_topic_0272686981_li747115491711">Click <strong id="mrs_01_0139__b169301419183417">Add</strong> next to <strong id="mrs_01_0139__b1493591933418">Role</strong>. On the page that is displayed, select the created role in <a href="#mrs_01_0139__li0303144818353">2</a> and the <strong id="mrs_01_0139__b2935161943412">System_administrator</strong> role, and click <strong id="mrs_01_0139__b12935111933412">OK</strong>.</li><li id="mrs_01_0139__en-us_topic_0272686981_li1831874416146">Click <span class="uicontrol" id="mrs_01_0139__en-us_topic_0272686981_uicontrol0318154415141"><b>OK</b></span>. The user is added successfully.</li></ol>
+</p></li><li id="mrs_01_0139__l789343721960447eafebafdfe1801c8d"><span>Access the Hue web UI as the created user. For details, see <a href="mrs_01_0132.html">Accessing the Hue Web UI</a>.</span></li><li id="mrs_01_0139__l51de9086fe414132ba76cfda090cfc3a"><span>In the left navigation pane, click <span><img id="mrs_01_0139__image13689043153010" src="en-us_image_0000001296090504.png"></span>. The <span class="parmname" id="mrs_01_0139__parmname1368911436308"><b>File Browser</b></span> page is displayed.</span></li><li id="mrs_01_0139__l96a22e64908f4ba7928bed6b725ce814"><span>Select the check box of a directory and choose <span class="uicontrol" id="mrs_01_0139__uicontrol15411215174113"><b>Action</b></span> on the top of the page. Choose <span class="parmvalue" id="mrs_01_0139__parmvalue17431055194218"><b>Storage policies</b></span>.</span></li><li id="mrs_01_0139__l8f3b50e361e6409080086abd704e7f0f"><span>In the dialog box that is displayed, set a new storage policy and click <strong id="mrs_01_0139__b158941955202317">OK</strong>.</span><p><ul id="mrs_01_0139__uec05ebcb43ed4f26844179a953a5f788"><li id="mrs_01_0139__li18375644567">On the <strong id="mrs_01_0139__b1412311591147">Static Storage Policy</strong> page, you can set a static storage policy and click <strong id="mrs_01_0139__b1741181311520">Save</strong>.</li><li id="mrs_01_0139__lc7e33017cb7849d68b5bd24c2685c21e">On the <span class="wintitle" id="mrs_01_0139__wdf6d13b9dbdb4ccc98ba0861a4b90b5c"><b>Dynamic Storage Policy</b></span> page, you can create, delete, or modify a dynamic storage policy. <a href="#mrs_01_0139__td571837c121649f3b7d9966840d79a91">Table 2</a> describes the parameters.
+<div class="tablenoborder"><a name="mrs_01_0139__td571837c121649f3b7d9966840d79a91"></a><a name="td571837c121649f3b7d9966840d79a91"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0139__td571837c121649f3b7d9966840d79a91" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Parameters of the dynamic storage policy</caption><thead align="left"><tr id="mrs_01_0139__r848f985306914373a6fac3b007c9e350"><th align="left" class="cellrowborder" valign="top" width="17.48%" id="mcps1.3.5.7.7.2.1.2.3.2.4.1.1"><p id="mrs_01_0139__a46dd9f152f934a40a5a8a96b64dd4671"><strong id="mrs_01_0139__b829355982418">Category</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="36.85%" id="mcps1.3.5.7.7.2.1.2.3.2.4.1.2"><p id="mrs_01_0139__a367591ca58a64826bc4cd70230d8f737">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="45.67%" id="mcps1.3.5.7.7.2.1.2.3.2.4.1.3"><p id="mrs_01_0139__a57a897ab3afd486a96c9642feeef23e7">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0139__r33698836e9ab4d03b821a37854d9c5b8"><td class="cellrowborder" rowspan="2" valign="top" width="17.48%" headers="mcps1.3.5.7.7.2.1.2.3.2.4.1.1 "><p id="mrs_01_0139__ae97e25862a094b7f9fdf38970eb02c78">Rule</p>
+</td>
+<td class="cellrowborder" valign="top" width="36.85%" headers="mcps1.3.5.7.7.2.1.2.3.2.4.1.2 "><p id="mrs_01_0139__a81d2ba86e6994934b799f35c804face2">Last Access to File</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.67%" headers="mcps1.3.5.7.7.2.1.2.3.2.4.1.3 "><p id="mrs_01_0139__ab6bca30b6284453787cd40a44f1198f3">Indicates the time when the file is last accessed.</p>
+</td>
+</tr>
+<tr id="mrs_01_0139__r090629f5295041698f5c6a7a49a8de22"><td class="cellrowborder" valign="top" headers="mcps1.3.5.7.7.2.1.2.3.2.4.1.1 "><p id="mrs_01_0139__afef11d9a8c924077ac63fc1be0169fe2">Last File Modification</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.5.7.7.2.1.2.3.2.4.1.2 "><p id="mrs_01_0139__a57d671564be74c079b3fe03354f93a46">Indicates the time when the file is last modified.</p>
+</td>
+</tr>
+<tr id="mrs_01_0139__rfd27046d75e4455c959838aa7392750b"><td class="cellrowborder" rowspan="3" valign="top" width="17.48%" headers="mcps1.3.5.7.7.2.1.2.3.2.4.1.1 "><p id="mrs_01_0139__a68f99ec9aefa4f3a8be4b595acc79cdb">Operation</p>
+</td>
+<td class="cellrowborder" valign="top" width="36.85%" headers="mcps1.3.5.7.7.2.1.2.3.2.4.1.2 "><p id="mrs_01_0139__a13636377406041a4bc23e58aeb83d18f">Change Number of Copies</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.67%" headers="mcps1.3.5.7.7.2.1.2.3.2.4.1.3 "><p id="mrs_01_0139__aa171997d34db458abb34710f4c1add11">Indicates the number of file copies.</p>
+</td>
+</tr>
+<tr id="mrs_01_0139__r5f9dbc24adca4ec5b82f6d108af3f1f4"><td class="cellrowborder" valign="top" headers="mcps1.3.5.7.7.2.1.2.3.2.4.1.1 "><p id="mrs_01_0139__a6bfa6633bc4649c9b469be40f64264cb">Modify Storage Policy</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.5.7.7.2.1.2.3.2.4.1.2 "><p id="mrs_01_0139__a172c58cc1fa44d62995a7cf782df32a5">Indicates that you can modify storage policies to the following: HOT, WARM, COLD, ONE_SSD, and ALL_SSD.</p>
+</td>
+</tr>
+<tr id="mrs_01_0139__rda923dd6e8fb4ae0b374e6b9a4bb015b"><td class="cellrowborder" valign="top" headers="mcps1.3.5.7.7.2.1.2.3.2.4.1.1 "><p id="mrs_01_0139__af7685db029ed43b3bbab6eb61d66a8fd">Move to Directory</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.5.7.7.2.1.2.3.2.4.1.2 "><p id="mrs_01_0139__ad2a89c3c3ff54abeaf138e57f544bb42"><span id="mrs_01_0139__ph19826133712265">Indicates that you can move the file to another directory.</span></p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_0139__n22c68bcc3ea14c53a5c11dabf484a8d6"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0139__u96e6d4ffbf414cb4841a762cbd237b17"><li id="mrs_01_0139__l94a425bd8335498fa25d5489526f23b2">You need to consider whether the rules conflict with each other and whether the rules damage the system when setting rules. </li><li id="mrs_01_0139__lba9b6dbdaa29483e9ba5b70f44d444e8">When a directory is configured with multiple rules and operations, the rule that is triggered first is located at the bottom of the rule/operation list, and the rules that are triggered later are placed from bottom to top to prevent repeated operations.</li><li id="mrs_01_0139__l4724643dd675495ca1c540133b3a54f2">The system checks whether the files under the directory specified by the dynamic storage policy meet the rules on an hourly basis. If the files meet the rules, the execution is triggered. Execution logs are recorded in the <span class="filepath" id="mrs_01_0139__ffea9cd1bdb7d4e1c8c0fd1e1e63f9626"><b>/var/log/Bigdata/hdfs/nn/hadoop.log</b></span> directory of the active NameNode.</li></ul>
+</div></div>
+</li></ul>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0139__s6e8dc0d14ac047f698c4fe87f3d3cdd6"><h4 class="sectiontitle">Typical Scenarios</h4><p id="mrs_01_0139__p46783883161847">On the Hue page, view and edit HDFS files in text or binary mode as follows:</p>
+<p id="mrs_01_0139__a78a366ba89f04a3593d9c4cfe456c389"><strong id="mrs_01_0139__b1261053712810">Viewing a File</strong></p>
+<ol id="mrs_01_0139__o4e0285c369be41669a74e268b8ecc932"><li id="mrs_01_0139__li116203741716"><span>Access the Hue web UI. For details, see <a href="mrs_01_0132.html">Accessing the Hue Web UI</a>.</span></li><li id="mrs_01_0139__li1261637121711"><span>In the left navigation pane, click <span><img id="mrs_01_0139__image176193710174" src="en-us_image_0000001295770716.png"></span>. The <span class="parmname" id="mrs_01_0139__parmname186537141715"><b>File Browser</b></span> page is displayed.</span></li><li id="mrs_01_0139__l9813168019784df4af66becdb1bc5cce"><span>Click the name of the file to be viewed.</span></li><li id="mrs_01_0139__li7161615101348"><span>Click <span class="uicontrol" id="mrs_01_0139__uicontrol6631060382221"><b>View as binary</b></span> to switch from the text mode to the binary mode. Click <span class="uicontrol" id="mrs_01_0139__uicontrol758668582231"><b>View as file</b></span> to switch from the binary mode to the text mode.</span></li></ol>
+<p id="mrs_01_0139__a4de5d0dc0df54977925c1dd2e9cbe835"><strong id="mrs_01_0139__b118681011291">Editing a file</strong></p>
+<ol start="5" id="mrs_01_0139__o0f7852de572f4b1c9b93bb26865b6537"><li id="mrs_01_0139__l9ccc3f899444462abe5335169caa74c9"><span>Click <span class="uicontrol" id="mrs_01_0139__uicontrol66384429174125"><b>Edit File</b></span>. The file content can be edited.</span></li><li id="mrs_01_0139__li381603310297"><span>Click <strong id="mrs_01_0139__b2790438142914">Save</strong> or <strong id="mrs_01_0139__b1679083819291">Save As</strong> to save the file.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0138.html">Typical Scenarios</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_0141"></a><a name="mrs_01_0141"></a>
+
+<h1 class="topictitle1">Hive on Hue</h1>
+<div id="body1598413148729"><p id="mrs_01_0141__a3dfe5add7a4447dd84e1e427c8b899f6">Hue provides the Hive GUI management function so that users can query Hive data in GUI mode.</p>
+<div class="section" id="mrs_01_0141__s9c9169711efd4257823c8eba94d8b307"><h4 class="sectiontitle">How to Use Query Editor</h4><p id="mrs_01_0141__p1045514338810">Access the Hue web UI. For details, see <a href="mrs_01_0132.html">Accessing the Hue Web UI</a>.</p>
+<p id="mrs_01_0141__p12338202583114">In the navigation tree on the left, click <span><img id="mrs_01_0141__image188071542102916" src="en-us_image_0000001296250192.png"></span> and choose <span class="uicontrol" id="mrs_01_0141__uicontrol10468102964715"><b>Hive</b></span>. The <span class="parmname" id="mrs_01_0141__parmname23960182145123"><b>Hive</b></span> page is displayed.</p>
+</div>
+<ul id="mrs_01_0141__u952c9c75cc234ec28a31bbbf43bc677a"><li id="mrs_01_0141__l42ef615ca4504ba1b2ead716c9933311">Running Hive HQL statements<p id="mrs_01_0141__ab6e64f2c761a46919a53bd458b06b97b"><a name="mrs_01_0141__l42ef615ca4504ba1b2ead716c9933311"></a><a name="l42ef615ca4504ba1b2ead716c9933311"></a>Select the target database on the left. You can also click <span><img id="mrs_01_0141__id5cbfa55e8e64c428844bc7ec48ca573" src="en-us_image_0000001349090389.png"></span> in the upper right corner and enter the target database name to search for the target database.</p>
+<p id="mrs_01_0141__a1b094b6158fe491e92056c156f2664c7">Enter a Hive HQL statement in the text box and click <span><img id="mrs_01_0141__i63492cad576e42dead1d2ba16d1c813b" src="en-us_image_0000001296090544.png"></span> or press <span class="uicontrol" id="mrs_01_0141__u4f456bdd03ac45cb97d9417b245131b5"><b>Ctrl+Enter</b></span> to run the HQL statement. The execution result is displayed on the <span class="parmname" id="mrs_01_0141__p0103acb89a9f439b923de6c38ebc6e1f"><b>Result</b></span> tab page.</p>
+</li><li id="mrs_01_0141__l33d50d7283a34b9e8bfe01f89be05167">Analyzing Hive HQL statements<p id="mrs_01_0141__abaa8199dd38b49e18c0b662e62670827"><a name="mrs_01_0141__l33d50d7283a34b9e8bfe01f89be05167"></a><a name="l33d50d7283a34b9e8bfe01f89be05167"></a>Select the target database on the left, enter the Hive HQL statement in the text box, and click <span><img id="mrs_01_0141__id5e63e360086414fbab5cc08a2aee019" src="en-us_image_0000001349090393.png"></span> to compile the HQL statement and check whether the statement is correct. The execution result is displayed under the text editing box.</p>
+</li><li id="mrs_01_0141__l16bc9177a96149689fd70f86231e39d8">Saving HQL statements<p id="mrs_01_0141__a1f21c9491fd84312abdf2bb5fc9aa3f2"><a name="mrs_01_0141__l16bc9177a96149689fd70f86231e39d8"></a><a name="l16bc9177a96149689fd70f86231e39d8"></a>Enter the Hive HQL statement in the text box, click <span><img id="mrs_01_0141__image1548910543262" src="en-us_image_0000001349090385.png"></span> in the upper right corner, and enter the name and description. You can view the saved statements on the <span class="parmname" id="mrs_01_0141__p2eae68c402b748738a636d13528021d3"><b>Saved Queries</b></span> tab page.</p>
+</li><li id="mrs_01_0141__lc548243f4fcf46b295d3f0124100888e">Viewing historical records<p id="mrs_01_0141__adb1aba62956b47ecacdfa71294e3877b"><a name="mrs_01_0141__lc548243f4fcf46b295d3f0124100888e"></a><a name="lc548243f4fcf46b295d3f0124100888e"></a>Click <span class="parmname" id="mrs_01_0141__parmname1257422115362"><b>Query History</b></span> to view the HQL running status. You can view the history of all the statements or only the saved statements. If many historical records exist, you can enter keywords in the text box to search for desired records.</p>
+</li><li id="mrs_01_0141__l9f12a7e38ab54086a92829f37c90ac50">Configuring advanced query<p id="mrs_01_0141__a6c28ed937aed4738913a4e83ef2a7d5e"><a name="mrs_01_0141__l9f12a7e38ab54086a92829f37c90ac50"></a><a name="l9f12a7e38ab54086a92829f37c90ac50"></a>Click <span><img id="mrs_01_0141__i56d68520f6854b6d832a2af414444395" src="en-us_image_0000001348770577.png"></span> in the upper right corner to configure the file, function, and settings.</p>
+</li><li id="mrs_01_0141__l96074533fd11425a9ea56138df035fac">Viewing the information of shortcut keys<p id="mrs_01_0141__a5de0d0cac3934222b7b266aade325525"><a name="mrs_01_0141__l96074533fd11425a9ea56138df035fac"></a><a name="l96074533fd11425a9ea56138df035fac"></a>Click <span><img id="mrs_01_0141__i399505b1ae9546dc94a0b11e1ca908d9" src="en-us_image_0000001295930720.png"></span> in the upper right corner to view information about all shortcut keys.</p>
+</li></ul>
+<div class="section" id="mrs_01_0141__sd71c303869ac441398c55ef7b5ccf200"><h4 class="sectiontitle">How to Use Metadata Browser</h4><p id="mrs_01_0141__p936393235416">Access the Hue web UI. For details, see <a href="mrs_01_0132.html">Accessing the Hue Web UI</a>.</p>
+<ul id="mrs_01_0141__u6e49bf15e77b46d8b6e6280902d75119"><li id="mrs_01_0141__le04aa16f50d044ad9529de5c94b3d2b0">Viewing metadata of Hive tables<p id="mrs_01_0141__en-us_topic_0272686980_a64364b5dcfed448983d871e881eeb634"><a name="mrs_01_0141__le04aa16f50d044ad9529de5c94b3d2b0"></a><a name="le04aa16f50d044ad9529de5c94b3d2b0"></a>Click <span><img id="mrs_01_0141__en-us_topic_0272686980_image414013237133" src="en-us_image_0000001295930724.png"></span> in the navigation tree on the left and click a table name. The metadata of the Hive table is displayed.</p>
+</li><li id="mrs_01_0141__l382b3c11a3354a369f9e9292d0d45d00">Managing metadata of Hive tables<p id="mrs_01_0141__en-us_topic_0272686980_p311263742717"><a name="mrs_01_0141__l382b3c11a3354a369f9e9292d0d45d00"></a><a name="l382b3c11a3354a369f9e9292d0d45d00"></a>On the metadata information page of a Hive table:</p>
+<ul id="mrs_01_0141__en-us_topic_0272686980_ul11920125062719"><li id="mrs_01_0141__en-us_topic_0272686980_li726413588272">Click <strong id="mrs_01_0141__en-us_topic_0272686980_b452111142182">Import</strong> in the upper right corner to import data.</li><li id="mrs_01_0141__en-us_topic_0272686980_li13714647112719">Click <span class="uicontrol" id="mrs_01_0141__en-us_topic_0272686980_uicontrol18515191262819"><b>Overview</b></span> to view the location of the table file in the <strong id="mrs_01_0141__en-us_topic_0272686980_b5464131507">PROPERTIES</strong> field.<p id="mrs_01_0141__en-us_topic_0272686980_p103071745204710">View the field information of each column in a Hive table and manually add description information. Note that the added description information is not the field comments in the Hive table.</p>
+</li><li id="mrs_01_0141__en-us_topic_0272686980_li11472828286">Click <span class="uicontrol" id="mrs_01_0141__en-us_topic_0272686980_uicontrol44738212813"><b>Sample</b></span> to browse data.</li></ul>
+</li><li id="mrs_01_0141__lace0c3ea8a674b31a306d25ee0a5dac6">Managing Hive metadata tables<p id="mrs_01_0141__en-us_topic_0272686980_a9670c1752c67416fa36f4ae1ef20bfcf"><a name="mrs_01_0141__lace0c3ea8a674b31a306d25ee0a5dac6"></a><a name="lace0c3ea8a674b31a306d25ee0a5dac6"></a>Click <span><img id="mrs_01_0141__en-us_topic_0272686980_image233915172914" src="en-us_image_0000001295770764.png"></span> in the left list to create a table based on the uploaded file in the database. You can also manually create a table.</p>
+</li></ul>
+<div class="caution" id="mrs_01_0141__note2228538205219"><span class="cautiontitle"><img src="public_sys-resources/caution_3.0-en-us.png"> </span><div class="cautionbody"><p id="mrs_01_0141__en-us_topic_0264266662_p02781117181714">The Hue page is used to view and analyze data such as files and tables. Do not perform high-risk management operations such as deleting objects on the page. If an operation is required, you are advised to perform the operation on each component after confirming that the operation has no impact on services. For example, you can use the HDFS client to perform operations on HDFS files and use the Hive client to perform operations on Hive tables.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0141__section21332946161447"><h4 class="sectiontitle">Typical Scenarios</h4><p id="mrs_01_0141__p46783883161847">On the Hue page, create a Hive table as follows:</p>
+<ol id="mrs_01_0141__ol40779510153545"><li id="mrs_01_0141__li15709742111253"><span>Click <span><img id="mrs_01_0141__image8766432311" src="en-us_image_0000001296090548.png"></span> at the upper left corner of Hue web UI and select the Hive instance to be operated to enter the Hive command execution page.</span></li><li id="mrs_01_0141__li16888142965815"><span>Enter an HQL statement in the command input box, for example:</span><p><p id="mrs_01_0141__p104511335175811"><strong id="mrs_01_0141__b1845113513588">create table hue_table(id int,name string,company string) row format delimited fields terminated by ',' stored as textfile;</strong></p>
+<p id="mrs_01_0141__p96451932185813">Click <span><img id="mrs_01_0141__image37813493111623" src="en-us_image_0000001349170289.png"></span> to execute the HQL statements.</p>
+</p></li><li id="mrs_01_0141__li471111436588"><span>Enter the following command in the command input box: </span><p><p id="mrs_01_0141__p16127185218586"><strong id="mrs_01_0141__b20172144915815">show tables;</strong></p>
+<p id="mrs_01_0141__p145391855125814">Click <span><img id="mrs_01_0141__image59966609111729" src="en-us_image_0000001296250196.png"></span> to view the created table <strong id="mrs_01_0141__b205945379313">hue_table</strong> in <span class="parmname" id="mrs_01_0141__parmname189390648513"><b>Result</b></span>.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0138.html">Typical Scenarios</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0144.html b/docs/mrs/component-operation-guide/mrs_01_0144.html
new file mode 100644
index 000000000..8f82bc7ed
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+<a name="mrs_01_0144"></a><a name="mrs_01_0144"></a>
+
+<h1 class="topictitle1">Oozie on Hue</h1>
+<div id="body1598413151388"><p id="mrs_01_0144__a9891e4b5f9194b23bf462906041d2272">Hue provides the Oozie job manager function, in this case, you can use Oozie in GUI mode.</p>
+<div class="caution" id="mrs_01_0144__note11339131145110"><span class="cautiontitle"><img src="public_sys-resources/caution_3.0-en-us.png"> </span><div class="cautionbody"><p id="mrs_01_0144__en-us_topic_0264266662_p02781117181714">The Hue page is used to view and analyze data such as files and tables. Do not perform high-risk management operations such as deleting objects on the page. If an operation is required, you are advised to perform the operation on each component after confirming that the operation has no impact on services. For example, you can use the HDFS client to perform operations on HDFS files and use the Hive client to perform operations on Hive tables.</p>
+</div></div>
+<div class="section" id="mrs_01_0144__s1aaa709c334b435395ea3e9cf91b8b4d"><h4 class="sectiontitle">How to Use Oozie Job Designer</h4><p id="mrs_01_0144__p114061742112">Access the Hue web UI. For details, see <a href="mrs_01_0132.html">Accessing the Hue Web UI</a>.</p>
+<p id="mrs_01_0144__p11372103482213">In the navigation tree on the left, click <span><img id="mrs_01_0144__image1723011205598" src="en-us_image_0000001349289821.png"></span> and choose <span class="uicontrol" id="mrs_01_0144__uicontrol67561729185919"><b>Workflow</b></span>.</p>
+<p id="mrs_01_0144__abc3433cd72b8442fb3318cea3e7c4acc">The job designer allows users to create MapReduce, Java, Streaming, Fs, SSH, Shell and DistCp jobs.</p>
+</div>
+<div class="section" id="mrs_01_0144__s74995a006d284a0398687ca03fbe7f23"><h4 class="sectiontitle">How to Use Dashboard</h4><p id="mrs_01_0144__p16596143318218">Access the Hue web UI. For details, see <a href="mrs_01_0132.html">Accessing the Hue Web UI</a>.</p>
+<p id="mrs_01_0144__p199051550122310">Click <strong id="mrs_01_0144__b59679371013">Jobs</strong> in the upper right corner. The <strong id="mrs_01_0144__b1348710818103">Job Browser</strong> page is displayed.</p>
+<p id="mrs_01_0144__p1039219115116">View the running status of the Workflow, Coordinator, and Bundles jobs.</p>
+<p id="mrs_01_0144__a6a0e1b02a5cf41abbb3493e875db2185"><span><img id="mrs_01_0144__image38145162511" src="en-us_image_0000001349170237.png"></span></p>
+</div>
+<div class="section" id="mrs_01_0144__sd9c398ffdbc44f8791bbc1b4d364535a"><h4 class="sectiontitle">How to Use Editor</h4><p id="mrs_01_0144__p23261635315">Access the Hue web UI. For details, see <a href="mrs_01_0132.html">Accessing the Hue Web UI</a>.</p>
+<p id="mrs_01_0144__p1333154811259">In the navigation tree on the left, click <span><img id="mrs_01_0144__image109141384111" src="en-us_image_0000001296250144.png"></span> and choose <span class="uicontrol" id="mrs_01_0144__uicontrol158378529117"><b>Workflow</b></span>.</p>
+<p id="mrs_01_0144__a5612cd1fa4cd4826a0fd81f73f44dbea">Workflows, Schedule, and Bundle tasks can be created. Existing applications can be submitted for running, shared, copied, and exported.</p>
+<ul id="mrs_01_0144__uf2b396595e7247b48c0fc85f241319c6"><li id="mrs_01_0144__l142a20a0394141fbad7b58fdfadb546a">Each Workflow can contain one or more jobs to form a complete workflow for a specified service.<p id="mrs_01_0144__a4bd5453ca1c84fad892a3e52bbef2baf"><a name="mrs_01_0144__l142a20a0394141fbad7b58fdfadb546a"></a><a name="l142a20a0394141fbad7b58fdfadb546a"></a>When creating a Workflow, you can design jobs in the Hue editor and add the jobs to the Workflow.</p>
+</li><li id="mrs_01_0144__l319e367458a243f4979978cf9b2fc7b3">Each Schedule can define a time trigger to periodically execute a specified Workflow. One time trigger cannot execute multiple Workflows.</li><li id="mrs_01_0144__l44a2562ef17446c599294b03ab95527f">Each Bundles can define a set to execute multiple Schedules so that different Workflows can be executed in batches.</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0138.html">Typical Scenarios</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0147.html b/docs/mrs/component-operation-guide/mrs_01_0147.html
new file mode 100644
index 000000000..4ae6bcd17
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+<a name="mrs_01_0147"></a><a name="mrs_01_0147"></a>
+
+<h1 class="topictitle1">Hue Log Overview</h1>
+<div id="body1598413153116"><div class="section" id="mrs_01_0147__s4aefe12893e04f6e84ee532ccc8645f3"><h4 class="sectiontitle">Log Description</h4><p id="mrs_01_0147__en-us_topic_0046736736_p59493923"><strong id="mrs_01_0147__b187051253564044">Log paths</strong>: The default paths of Hue logs are <strong id="mrs_01_0147__b46805069364044">/var/log/Bigdata/hue</strong> (for storing run logs) and <strong id="mrs_01_0147__b95627163864044">/var/log/Bigdata/audit/hue</strong> (for storing audit logs).</p>
+<p id="mrs_01_0147__en-us_topic_0046736736_p54278420"><strong id="mrs_01_0147__b1423102310468">Log archive rules</strong>: The automatic compression and archiving function of the Hue logs is enabled. By default, when the size of a log file (<strong id="mrs_01_0147__b14291823124610">access.log</strong>, <strong id="mrs_01_0147__b1143072316467">error.log</strong>, <strong id="mrs_01_0147__b17431122354619">runcpserver.log</strong>, or <strong id="mrs_01_0147__b18432122315464">hue-audits.log</strong>) exceeds 5 MB, logs are automatically compressed. A maximum of 20 latest compressed files are reserved. The number of compressed files and compression threshold can be configured. </p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0147__en-us_topic_0046736736_table34475894" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Hue log list</caption><thead align="left"><tr id="mrs_01_0147__en-us_topic_0046736736_row51779527"><th align="left" class="cellrowborder" valign="top" width="18.81188118811881%" id="mcps1.3.1.4.2.4.1.1"><p id="mrs_01_0147__en-us_topic_0046736736_p33392154"><strong id="mrs_01_0147__en-us_topic_0046736736_b32093935">Type</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="38.73267326732673%" id="mcps1.3.1.4.2.4.1.2"><p id="mrs_01_0147__en-us_topic_0046736736_p49471932"><strong id="mrs_01_0147__en-us_topic_0046736736_b42594206">Log File Name</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="42.45544554455446%" id="mcps1.3.1.4.2.4.1.3"><p id="mrs_01_0147__en-us_topic_0046736736_p27578655"><strong id="mrs_01_0147__en-us_topic_0046736736_b46881303">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0147__en-us_topic_0046736736_row39289205"><td class="cellrowborder" rowspan="25" valign="top" width="18.81188118811881%" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_0147__en-us_topic_0046736736_p28309076">Run log</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.73267326732673%" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_0147__en-us_topic_0046736736_p11333852">access.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.45544554455446%" headers="mcps1.3.1.4.2.4.1.3 "><p id="mrs_01_0147__en-us_topic_0046736736_p45626804">Access log file</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__en-us_topic_0046736736_row7988053"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_0147__en-us_topic_0046736736_p43052585">error.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_0147__en-us_topic_0046736736_p64707361">Error log file</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__row8716124101222"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_0147__p34917462101222">gsdb_check.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_0147__p9742164101222">Log file of the GaussDB check information</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__en-us_topic_0046736736_row45495342"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_0147__en-us_topic_0046736736_p61244120">kt_renewer.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_0147__en-us_topic_0046736736_p61826715">Log file of Kerberos authentication</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__en-us_topic_0046736736_row19569525"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_0147__en-us_topic_0046736736_p41627663">kt_renewer.out.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_0147__en-us_topic_0046736736_p16397525">Log file of the abnormal Kerberos authentication logs</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__en-us_topic_0046736736_row13360005"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_0147__en-us_topic_0046736736_p8418617">runcpserver.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_0147__en-us_topic_0046736736_p10819406">Log file of operation records</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__en-us_topic_0046736736_row30265796"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_0147__en-us_topic_0046736736_p35610445">runcpserver.out.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_0147__en-us_topic_0046736736_p65873802">Log file of process running exceptions</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__en-us_topic_0046736736_row55993312"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_0147__en-us_topic_0046736736_p39164423">supervisor.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_0147__en-us_topic_0046736736_p18201686">Log file of process startup</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__en-us_topic_0046736736_row29597453"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_0147__en-us_topic_0046736736_p48583468">supervisor.out.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_0147__en-us_topic_0046736736_p42946824">Log file of process startup exceptions</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__en-us_topic_0046736736_row50977096"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_0147__en-us_topic_0046736736_p35504073">dbDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_0147__en-us_topic_0046736736_p57257659">Log file of database initialization</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__en-us_topic_0046736736_row5514182"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_0147__en-us_topic_0046736736_p43995612">initSecurityDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_0147__en-us_topic_0046736736_p6874826">Download initialization log file of the Keytab file</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__row36387235101252"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_0147__p61684923101252">postinstallDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_0147__p30422880101252">Work log file generated after the Hue service is installed</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__en-us_topic_0046736736_row61873442"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_0147__en-us_topic_0046736736_p45692937">prestartDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_0147__en-us_topic_0046736736_p10140379">Prestart log file</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__row7622221101415"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_0147__p13420173101415">statusDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_0147__p13292209101415">Log file of the Hue health status</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__en-us_topic_0046736736_row24154553"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_0147__en-us_topic_0046736736_p10361753">startDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_0147__en-us_topic_0046736736_p33995674">Startup log</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__en-us_topic_0046736736_row37525614"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_0147__en-us_topic_0046736736_p19675907">get-hue-ha.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_0147__en-us_topic_0046736736_p50244620">Log file of the Hue HA status</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__en-us_topic_0046736736_row49548400"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_0147__en-us_topic_0046736736_p53997443">hue-ha-status.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_0147__en-us_topic_0046736736_p11716734">Log file of the Hue HA status monitoring</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__en-us_topic_0046736736_row38341746"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_0147__en-us_topic_0046736736_p18673758">get-hue-health.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_0147__en-us_topic_0046736736_p36179397">Log file of the Hue health status</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__en-us_topic_0046736736_row57179123"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_0147__en-us_topic_0046736736_p997409">hue-health-check.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_0147__en-us_topic_0046736736_p13681279">Log file of the Hue health check</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__en-us_topic_0046736736_row56022647"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_0147__en-us_topic_0046736736_p41540577">hue-refresh-config.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_0147__en-us_topic_0046736736_p9343567">Log file of the Hue configuration update</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__en-us_topic_0046736736_row16983243"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_0147__en-us_topic_0046736736_p33465467">hue-script-log.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_0147__en-us_topic_0046736736_p26348324">Log file of the Hue operations on the Manager console</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__en-us_topic_0046736736_row35808325"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_0147__en-us_topic_0046736736_p14793173">hue-service-check.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_0147__en-us_topic_0046736736_p57396337">Log file of the Hue service status monitoring</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__row12883182222419"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_0147__p9169204619245">db_pwd.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_0147__p0169114692412">Log that records the changes of the password for Hue to connect to the DBService database</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__row8146133311247"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_0147__p19169114662414">modifyDBPwd_<em id="mrs_01_0147__i1016904610246">Date</em>.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_0147__p18180164682414">-</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__row93301928172418"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_0147__p116911466245">watch_config_update.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_0147__p616954602419">Parameter update log file</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__en-us_topic_0046736736_row46804992"><td class="cellrowborder" valign="top" width="18.81188118811881%" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_0147__en-us_topic_0046736736_p33107994">Audit log</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.73267326732673%" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_0147__en-us_topic_0046736736_p64501877">hue-audits.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.45544554455446%" headers="mcps1.3.1.4.2.4.1.3 "><p id="mrs_01_0147__en-us_topic_0046736736_p57269561">Audit log file</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_0147__section1177213525504"><h4 class="sectiontitle">Log Level</h4><p id="mrs_01_0147__en-us_topic_0046736736_p8322828"><a href="#mrs_01_0147__t85cf40d58c61438a8876c531c55d9f44">Table 2</a> describes the log levels supported by Hue.</p>
+<p id="mrs_01_0147__en-us_topic_0046736736_p3060505">Levels of logs are ERROR, WARN, INFO, and DEBUG from the highest to the lowest priority. Run logs of equal or higher levels are recorded. The higher the specified log level, the fewer the logs recorded.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0147__t85cf40d58c61438a8876c531c55d9f44"></a><a name="t85cf40d58c61438a8876c531c55d9f44"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0147__t85cf40d58c61438a8876c531c55d9f44" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Log levels</caption><thead align="left"><tr id="mrs_01_0147__en-us_topic_0046736736_row47089838"><th align="left" class="cellrowborder" valign="top" width="26%" id="mcps1.3.2.4.2.3.1.1"><p id="mrs_01_0147__en-us_topic_0046736736_p56180511"><strong id="mrs_01_0147__en-us_topic_0046736736_b35862558">Level</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="74%" id="mcps1.3.2.4.2.3.1.2"><p id="mrs_01_0147__en-us_topic_0046736736_p19186118"><strong id="mrs_01_0147__en-us_topic_0046736736_b38457336">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0147__en-us_topic_0046736736_row28036527"><td class="cellrowborder" valign="top" width="26%" headers="mcps1.3.2.4.2.3.1.1 "><p id="mrs_01_0147__en-us_topic_0046736736_p56366243">ERROR</p>
+</td>
+<td class="cellrowborder" valign="top" width="74%" headers="mcps1.3.2.4.2.3.1.2 "><p id="mrs_01_0147__en-us_topic_0046736736_p2262971">Logs of this level record error information about system running.</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__en-us_topic_0046736736_row20366744"><td class="cellrowborder" valign="top" width="26%" headers="mcps1.3.2.4.2.3.1.1 "><p id="mrs_01_0147__en-us_topic_0046736736_p39093602">WARN</p>
+</td>
+<td class="cellrowborder" valign="top" width="74%" headers="mcps1.3.2.4.2.3.1.2 "><p id="mrs_01_0147__en-us_topic_0046736736_p12465221">Logs of this level record exception information about the current event processing.</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__en-us_topic_0046736736_row45078127"><td class="cellrowborder" valign="top" width="26%" headers="mcps1.3.2.4.2.3.1.1 "><p id="mrs_01_0147__en-us_topic_0046736736_p27449641">INFO</p>
+</td>
+<td class="cellrowborder" valign="top" width="74%" headers="mcps1.3.2.4.2.3.1.2 "><p id="mrs_01_0147__en-us_topic_0046736736_p8828431">Logs of this level record normal running status information about the system and events.</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__en-us_topic_0046736736_row12347023"><td class="cellrowborder" valign="top" width="26%" headers="mcps1.3.2.4.2.3.1.1 "><p id="mrs_01_0147__en-us_topic_0046736736_p60584803">DEBUG</p>
+</td>
+<td class="cellrowborder" valign="top" width="74%" headers="mcps1.3.2.4.2.3.1.2 "><p id="mrs_01_0147__en-us_topic_0046736736_p8422040">Logs of this level record the system information and system debugging information.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_0147__p1451834751414">To modify log levels, perform the following operations:</p>
+<ol id="mrs_01_0147__ol1795195151420"><li id="mrs_01_0147__li338981381519"><span>Go to the <strong id="mrs_01_0147__b1560182018484">All Configurations</strong> page of the Hue service by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</span></li><li id="mrs_01_0147__li1795245151415"><span>In the navigation tree on the left, select <strong id="mrs_01_0147__b10381141518491">Log</strong> corresponding to the role to be modified.</span></li><li id="mrs_01_0147__li129412719178"><span>Select the log level to be changed on the right.</span></li><li id="mrs_01_0147__li6396141331810"><span>Save the configuration. In the displayed dialog box, click <strong id="mrs_01_0147__b187200431164044">OK</strong> to make the configurations take effect.</span></li><li id="mrs_01_0147__li9573017181"><span>Restart the service or instance whose configuration has expired for the configuration to take effect.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_0147__s4b989d46041a4b1bb1680a5c51c4046c"><h4 class="sectiontitle">Log Format</h4><p id="mrs_01_0147__en-us_topic_0046736736_p15668096">The following table lists the Hue log formats:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0147__en-us_topic_0046736736_table6795142" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Log formats</caption><thead align="left"><tr id="mrs_01_0147__en-us_topic_0046736736_row65246021"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.3.2.4.1.1"><p id="mrs_01_0147__en-us_topic_0046736736_p50436335"><strong id="mrs_01_0147__en-us_topic_0046736736_b51273837">Type</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.53335333533353%" id="mcps1.3.3.3.2.4.1.2"><p id="mrs_01_0147__en-us_topic_0046736736_p59540143"><strong id="mrs_01_0147__en-us_topic_0046736736_b66099246">Format</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.13331333133313%" id="mcps1.3.3.3.2.4.1.3"><p id="mrs_01_0147__en-us_topic_0046736736_p52438673"><strong id="mrs_01_0147__en-us_topic_0046736736_b2186017">Example</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0147__en-us_topic_0046736736_row42849697"><td class="cellrowborder" rowspan="2" valign="top" width="33.33333333333333%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_0147__en-us_topic_0046736736_p48273413">Run log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.53335333533353%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_0147__en-us_topic_0046736736_p17832374">&lt;<em id="mrs_01_0147__i93001763564044">dd-MM-yy HH:mm:ss,SSS</em>&gt;&lt;<em id="mrs_01_0147__i164129131764044">Location where the log event occurs</em>&gt;&lt;<em id="mrs_01_0147__i152395336364044">Log level</em>&gt;&lt;<em id="mrs_01_0147__i89111839564044">Message in the log</em>&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.13331333133313%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_0147__en-us_topic_0046736736_p35136155">[03/Nov/2014 11:57:19 ] middleware |  INFO | Unloading MimeTypeJSFileFixStreamingMiddleware.</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__en-us_topic_0046736736_row47789940"><td class="cellrowborder" valign="top" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_0147__en-us_topic_0046736736_p45779971">&lt;<em id="mrs_01_0147__i151506437364044">Log level</em>&gt;&lt;<em id="mrs_01_0147__i212836659464044">Time format</em>&gt;&lt;<em id="mrs_01_0147__i93224611664044">yyyy-MM-dd HH:mm:ss,SSS</em>&gt;&lt;<em id="mrs_01_0147__i201069386464044">Location where the log event occurs</em>&gt;&lt;<em id="mrs_01_0147__i156639782664044">Message in the log</em>&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_0147__en-us_topic_0046736736_p17190203">INFO : CST 2014-11-06 11:22:52 hue-ha-status.sh : update 4 &lt;= 15:myHostName=10.0.0.250 ACTIVE=10.0.0.250</p>
+</td>
+</tr>
+<tr id="mrs_01_0147__en-us_topic_0046736736_row20494101"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_0147__en-us_topic_0046736736_p49409500">Audit log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.53335333533353%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_0147__en-us_topic_0046736736_p42746592"><em id="mrs_01_0147__i1083772275016">&lt;UserName&gt;&lt;yyyy-MM-dd HH:mm:ss,SSS&gt;&lt; Audit operation description&gt; &lt;Resource parameter&gt; &lt;URL&gt; &lt;Whether to allow&gt; &lt;Audit operation&gt; &lt;IP address&gt;</em></p>
+</td>
+<td class="cellrowborder" valign="top" width="33.13331333133313%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_0147__en-us_topic_0046736736_p39921928">{"username": "admin", "eventTime": "2014-11-06 10:28:34", "operationText": "Successful login for user: admin", "service": "accounts", "url": "/accounts/login/", "allowed": true, "operation": "USER_LOGIN", "ipAddress": "10.0.0.250"}</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0130.html">Using Hue (MRS 3.x or Later)</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_0156"></a><a name="mrs_01_0156"></a>
+
+<h1 class="topictitle1">What Can I Do If HDFS Files Fail to Be Accessed Using Hue WebUI?</h1>
+<div id="body1604049674594"><div class="section" id="mrs_01_0156__s670f5cdc877e4ef2a411e37ca6043309"><h4 class="sectiontitle">Question</h4><p id="mrs_01_0156__acc6e4168a6a141fca8c9073b0931629b">What can I do if an error message shown in the following figure is displayed, indicating that the HDFS file cannot be accessed when I use Hue web UI to access the HDFS file?</p>
+<p id="mrs_01_0156__p6463152215316"><span><img id="mrs_01_0156__image2062142416317" src="en-us_image_0000001295770320.png"></span></p>
+</div>
+<div class="section" id="mrs_01_0156__s386d6384f2174e04b4f5de06ef3546c0"><h4 class="sectiontitle">Answer</h4><ol id="mrs_01_0156__ol123189326337"><li id="mrs_01_0156__li131853213339">Check whether the user who logs in to the Hue web UI has the permissions of the <strong id="mrs_01_0156__b137287151105">hadoop</strong> user group.</li><li id="mrs_01_0156__li149964519338">Check whether the HttpFS instance has been installed for the HDFS service and is running properly. If the HttpFS instance is not installed, manually install and restart the Hue service.</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1764.html">Common Issues About Hue</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_0366"></a><a name="mrs_01_0366"></a>
+
+<h1 class="topictitle1">Getting Started with Spark</h1>
+<div id="body1589421619606"><p id="mrs_01_0366__af103364aa976495d8b047395830ae973">This section describes how to use Spark to submit a SparkPi job. SparkPi, a typical Spark job, is used to calculate the value of Pi (π).</p>
+<div class="section" id="mrs_01_0366__sd2a57331ab704780bbe437bd73c7c8de"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0366__oa18a68d0bcc74b30b9a9a9f2137b6ab4"><li id="mrs_01_0366__l73a12356415f4048981acfcdd6579007"><a name="mrs_01_0366__l73a12356415f4048981acfcdd6579007"></a><a name="l73a12356415f4048981acfcdd6579007"></a><span>Prepare the SparkPi program.</span><p><p id="mrs_01_0366__a939d4b45686245ba82388b6d86cf0aea">Multiple open-source Spark sample programs are provided, including SparkPi. Click <a href="https://archive.apache.org/dist/spark/spark-2.1.0/spark-2.1.0-bin-hadoop2.7.tgz" target="_blank" rel="noopener noreferrer">https://archive.apache.org/dist/spark/spark-2.1.0/spark-2.1.0-bin-hadoop2.7.tgz</a> to download the software package.</p>
+<p id="mrs_01_0366__ae222ebce0fe84c0fa967d802a595c8b5">Decompress the software package to obtain the <strong id="mrs_01_0366__b12603245132217">spark-examples_2.11-2.1.0.jar</strong> file, the sample program package, in the <strong id="mrs_01_0366__b17822935152520">spark-2.1.0-bin-hadoop2.7/examples/jars</strong> directory. The <strong id="mrs_01_0366__b62236712615">spark-examples_2.11-2.1.0.jar</strong> sample program package contains the SparkPi program.</p>
+</p></li><li id="mrs_01_0366__l9c355cfcb7e94337b4acf23ef5b3b2f7"><span>Upload data to OBS.</span><p><ol type="a" id="mrs_01_0366__ofa3aa0f60b424b6188d2c3b541cea204"><li id="mrs_01_0366__l6cb10bb327fa4b1da979d39927f4531d">Log in to OBS Console.</li><li id="mrs_01_0366__lfe9f6a2f8ec648848198d9674251b441">Choose <strong id="mrs_01_0366__b7642930141810">Parallel File System</strong> &gt; <strong id="mrs_01_0366__b1864219305181">Create Parallel File System</strong> to create a file system named <strong id="mrs_01_0366__b364243015183">sparkpi</strong>.<p id="mrs_01_0366__a9c4aca37fc8f427d91f1d90853772a22"><strong id="mrs_01_0366__b15921133918188">sparkpi</strong> is only an example. The file system name must be globally unique. Otherwise, the parallel file system fails to be created. Use the default values for other parameters.</p>
+</li><li id="mrs_01_0366__li3404164419718">Click the file system name <strong id="mrs_01_0366__b32082241019">sparkpi</strong> and click <strong id="mrs_01_0366__b320122181016">Files</strong>.</li><li id="mrs_01_0366__li130626173717">Click <strong id="mrs_01_0366__b141865427468">Create Folder</strong> to create the <strong id="mrs_01_0366__b8186194224610">program</strong> folder..</li><li id="mrs_01_0366__lea54ef8d2b7d4c81aff203c177d26c0b">Go to the <strong id="mrs_01_0366__b5236855161720">program</strong> folder, click <strong id="mrs_01_0366__b172475971817">Upload Object</strong>, select the program package downloaded in <a href="#mrs_01_0366__l73a12356415f4048981acfcdd6579007">1</a> from the local PC, and set <strong id="mrs_01_0366__b64611924111913">Storage Class</strong> to <strong id="mrs_01_0366__b45171326121913">Standard</strong>.</li></ol>
+</p></li><li id="mrs_01_0366__l386a3fc1418f4b3c8bb1168fc216736b"><span>Log in to the MRS console. In the left navigation pane, choose <strong id="mrs_01_0366__b1266113014199">Clusters</strong> &gt; <strong id="mrs_01_0366__b1066743014194">Active Clusters</strong>, and click a cluster name.</span></li><li id="mrs_01_0366__lbdc27dca47484c2e901c956bd4e2494e"><span>Submit the SparkPi job.</span><p><div class="p" id="mrs_01_0366__p19986101711388">On the MRS console, click the <span class="uicontrol" id="mrs_01_0366__uicontrol17219193234715"><b>Jobs</b></span> tab and click <span class="uicontrol" id="mrs_01_0366__uicontrol12224532194713"><b>Create</b></span>. The <strong id="mrs_01_0366__b102256323474">Create Job</strong> page is displayed. For details about how to submit the job, see <a href="https://docs.otc.t-systems.com/en-us/usermanual/mrs/mrs_01_0524.html" target="_blank" rel="noopener noreferrer">Running a SparkSubmit or Spark Job</a>.<ul id="mrs_01_0366__ul13890947104010"><li id="mrs_01_0366__li18890647154019">Set <strong id="mrs_01_0366__b52199535472">Type</strong> to <strong id="mrs_01_0366__b1822414531474">SparkSubmit</strong>.</li><li id="mrs_01_0366__li16890194718403">Set <strong id="mrs_01_0366__b786825515477">Name</strong> to <strong id="mrs_01_0366__b8415222480">sparkPi</strong>.</li><li id="mrs_01_0366__li1890647184016">Set <strong id="mrs_01_0366__b842352706213513">Program Path</strong> to the path where programs are stored on OBS, for example, <strong id="mrs_01_0366__b1066519014498">obs://sparkpi/program/spark-examples_2.11-2.1.0.jar</strong>.</li><li id="mrs_01_0366__li25639312316">In <strong id="mrs_01_0366__b37691029145911">Program Parameter</strong>, select <strong id="mrs_01_0366__b5220118114911">--class</strong> for <strong id="mrs_01_0366__b3129713114918">Parameter</strong> and set <strong id="mrs_01_0366__b1291514035813">Value</strong> to <strong id="mrs_01_0366__b1354992418493">org.apache.spark.examples.SparkPi</strong>.</li><li id="mrs_01_0366__li889074715404">Set <strong id="mrs_01_0366__b6948175916583">Parameters</strong> to <strong id="mrs_01_0366__b12890730134917">10</strong>.</li><li id="mrs_01_0366__li0891204774012">Leave <strong id="mrs_01_0366__b1772312327493">Service Parameter</strong> blank.</li></ul>
+</div>
+<p id="mrs_01_0366__a60330685f3e44364ad3c99053c4a8426">A job can be submitted only when the cluster is in the <span class="parmvalue" id="mrs_01_0366__parmvalue189481346193815"><b>Running</b></span> state.</p>
+<p id="mrs_01_0366__a018e2d53b455420f8baf4e424dd5a5a6">After a job is submitted successfully, it is in the <span class="parmvalue" id="mrs_01_0366__parmvalue810384714394"><b>Accepted</b></span> state by default. You do not need to manually execute the job.</p>
+</p></li><li id="mrs_01_0366__l4ecfa9cfd1554bfdbae3338a5dd5088c"><span>View the job execution result.</span><p><ol type="a" id="mrs_01_0366__o388a703f4415455cabdf93230509ad76"><li id="mrs_01_0366__l902a2434e61048f2a0a6d7c527e49ea4">Go to the <span class="wintitle" id="mrs_01_0366__w503243d1e5f24011b8620cf69d824c86"><b>Jobs</b></span> tab page and view job execution status.<p id="mrs_01_0366__afaa09a0cdccd4e518d8c4b5e4219df68">The job execution takes a while. After the jobs are complete, refresh the job list.</p>
+<p id="mrs_01_0366__ae749b06ed57f49ddb599015f43188007">Once a job has succeeded or failed, you cannot execute it again. However, you can add or copy a job, and set job parameters to submit a job again.</p>
+</li><li id="mrs_01_0366__l2f38fd1aa370493ab76090418b8f2395">Go to the native Yarn page and view the job output information.<ol class="substepthirdol" id="mrs_01_0366__ol23664351516"><li id="mrs_01_0366__li685693719208">On the <strong id="mrs_01_0366__b48825116501">Jobs</strong> tab page, locate the row that contains the target job and click <strong id="mrs_01_0366__b11784813205015">View Details</strong> in the <strong id="mrs_01_0366__b730781625014">Operation</strong> column to obtain the actual job ID.</li><li id="mrs_01_0366__li1846915481913">Log in to Manager and choose <strong id="mrs_01_0366__b149231035105012">Services</strong> &gt; <strong id="mrs_01_0366__b79031371501">Yarn</strong> &gt; <strong id="mrs_01_0366__b15336124111505">ResourceManager WebUI</strong> &gt; <strong id="mrs_01_0366__b186131435502">ResourceManager (Active)</strong>. The Yarn page is displayed.</li><li id="mrs_01_0366__li853132713173">Click the ID corresponding to the actual job ID.<div class="fignone" id="mrs_01_0366__fig5276182312596"><span class="figcap"><b>Figure 1 </b>Yarn <span id="mrs_01_0366__ph4109141014246">W</span>eb UI</span><br><span><img id="mrs_01_0366__image17352244175815" src="en-us_image_0000001388362146.png"></span></div>
+</li><li id="mrs_01_0366__li11569174472514">Click <strong id="mrs_01_0366__b232118417513">Logs</strong> in the job log area.<div class="fignone" id="mrs_01_0366__fig1673515263410"><span class="figcap"><b>Figure 2 </b>SparkPi job logs</span><br><span><img id="mrs_01_0366__image13405815941" src="en-us_image_0000001388203690.png"></span></div>
+</li><li id="mrs_01_0366__li38491509287">Click <strong id="mrs_01_0366__b1013284413516">here</strong> to obtain more detailed logs.<div class="fignone" id="mrs_01_0366__fig47917335298"><span class="figcap"><b>Figure 3 </b>More detailed logs of sparkPi jobs</span><br><span><img id="mrs_01_0366__image1747972882910" src="en-us_image_0000001296090200.png"></span></div>
+</li><li id="mrs_01_0366__li10755957162918">Obtain the job execution result.<div class="fignone" id="mrs_01_0366__fig10583338317"><span class="figcap"><b>Figure 4 </b>SparkPi job execution result</span><br><span><img id="mrs_01_0366__image11154155383013" src="en-us_image_0000001349169941.png"></span></div>
+</li></ol>
+</li></ol>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0589.html">Using Spark</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0367.html b/docs/mrs/component-operation-guide/mrs_01_0367.html
new file mode 100644
index 000000000..235e47a8e
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+<a name="mrs_01_0367"></a><a name="mrs_01_0367"></a>
+
+<h1 class="topictitle1">Getting Started with Spark SQL</h1>
+<div id="body1589421619401"><p id="mrs_01_0367__af359eb4111cf43d8932b2ddcdb045f5c">Spark provides the Spark SQL language that is similar to SQL to perform operations on structured data. This section describes how to use Spark SQL from scratch. Create a table named <strong id="mrs_01_0367__b122075528446">src_data</strong>, write a data record in each row of the table, and store the data in the <strong id="mrs_01_0367__b755910137451">mrs_20160907</strong> cluster. Then use SQL statements to query data in the table, and delete the table at last.</p>
+<div class="section" id="mrs_01_0367__sf409cb8b039d45e191bed0dc51e447e3"><a name="mrs_01_0367__sf409cb8b039d45e191bed0dc51e447e3"></a><a name="sf409cb8b039d45e191bed0dc51e447e3"></a><h4 class="sectiontitle">Prerequisites</h4><div class="p" id="mrs_01_0367__ae400034bcd694dff989d9d2daddd99ea">You have obtained the AK/SK for writing data from an OBS data source to a Spark SQL table. To obtain it, perform as follows:<ol id="mrs_01_0367__o8e5a70b3de4b41a392d301430dfec146"><li id="mrs_01_0367__l9bf73504983446c9942869d57c938e43">Log in to the management console.</li><li id="mrs_01_0367__l809413b8944e46b8a3b8e977ccfcc4d3">Click the username and select <span class="parmname" id="mrs_01_0367__parmname10891143218460"><b>My Credentials</b></span> from the drop-down list.</li><li id="mrs_01_0367__l831818f2b8cc448ea160f122aa488bf4">On the displayed <strong id="mrs_01_0367__b1033783912310">My Credentials</strong> page, click <span class="parmname" id="mrs_01_0367__parmname8337163911237"><b>Access Keys</b></span>.</li><li id="mrs_01_0367__la2c64cad1bfe45a9969b01050a3ee534">Click <span class="uicontrol" id="mrs_01_0367__uicontrol11643183618474"><b>Create Access Key</b></span> to switch to the <span class="wintitle" id="mrs_01_0367__wintitle20649536144719"><b>Create Access Key</b></span> dialog box.</li><li id="mrs_01_0367__l9ee6d15b0ec941218b6e49d32e7df089">Enter the password and verification code in the email, and click <strong id="mrs_01_0367__b1554191716501">OK</strong> to download the access key. Keep the access key secure. </li></ol>
+</div>
+</div>
+<div class="section" id="mrs_01_0367__s56e8f18de4d644e58ee2280f2ea5ec88"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0367__ob9d24e62c8e34d26bdf4277d0b8b5ae9"><li id="mrs_01_0367__l55e4469be18d43aea169f9a59bed629f"><span>Prepare data sources for Spark SQL analysis.</span><p><p id="mrs_01_0367__a408c0ccae0ef4b0497cf3e5c05780d0b">The sample text file is as follows:</p>
+<pre class="screen" id="mrs_01_0367__sd8781613b25944b481ae59373289d09e">abcd3ghji
+efgh658ko
+1234jjyu9
+7h8kodfg1
+kk99icxz3</pre>
+</p></li><li id="mrs_01_0367__l915c79cafdb0480597b0409bda9710cf"><span>Upload data to OBS.</span><p><ol type="a" id="mrs_01_0367__o04e50dc3142f40c9bd14366bd954cd6e"><li id="mrs_01_0367__l9db3bf130cde43abbcdb299269c86482">Log in to OBS Console.</li><li id="mrs_01_0367__l4908eaeaaddb45138c8d91d4f40e7f0d">Choose <strong id="mrs_01_0367__b149491328142413">Parallel File System</strong> &gt; <strong id="mrs_01_0367__b6949192818241">Create Parallel File System</strong> to create a file system named <strong id="mrs_01_0367__b1894922810249">sparksql</strong>.<p id="mrs_01_0367__a7159dad5a95342f0a29587d6a2952654"><strong id="mrs_01_0367__b3164153662418">sparksql</strong> is only an example. The file system name must be globally unique. Otherwise, the parallel file system fails to be created.</p>
+</li><li id="mrs_01_0367__li1989212491022">Click the name of the <strong id="mrs_01_0367__b316024313248">sparksql</strong> file system and click <strong id="mrs_01_0367__b3161124311247">Files</strong>.</li><li id="mrs_01_0367__l1f7011601300422694efae5a48f3684f">Click <strong id="mrs_01_0367__b14961050125119">Create Folder</strong> to create the <strong id="mrs_01_0367__b726465620516">input</strong> folder.</li><li id="mrs_01_0367__l1d1db7562e6e46cdaa618a7d2536571b">Go to the <strong id="mrs_01_0367__b1464741145210">input</strong> folder, choose <strong id="mrs_01_0367__b1268017935411">Upload File</strong> &gt; <strong id="mrs_01_0367__b7563131415546">add file</strong>, select the local TXT file, and click <strong id="mrs_01_0367__b19464152215548">Upload</strong>.</li></ol>
+</p></li><li id="mrs_01_0367__l8392811897d2429ca1dfcbf41ca4fe1a"><span>Log in to the MRS console. In the left navigation pane, choose <strong id="mrs_01_0367__b870464910542">Clusters</strong> &gt; <strong id="mrs_01_0367__b18704134911543">Active Clusters</strong>, and click a cluster name.</span></li><li id="mrs_01_0367__l175f02b3a1ae469a8fcc7a7cf83544ea"><span>Import the text file from OBS to HDFS.</span><p><ol type="a" id="mrs_01_0367__o47f064d350e24aa5904cb06c3b0b0935"><li id="mrs_01_0367__l289dd0eb725240f49435def440805bd0">Click the <strong id="mrs_01_0367__b179142520551">Files</strong> tab.</li><li id="mrs_01_0367__l98174c22947941439783e4441b9939f1">On the <strong id="mrs_01_0367__b36261521115512">HDFS File List</strong> tab page, click <strong id="mrs_01_0367__b155511434557">Create Folder</strong>, and create a folder named <strong id="mrs_01_0367__b15937747105515">userinput</strong>.</li><li id="mrs_01_0367__lf84405107fe74f18a0da342cbf02fc8c">Go to the <strong id="mrs_01_0367__b14690195318553">userinput</strong> folder, and click <strong id="mrs_01_0367__b38028219561">Import Data</strong>.</li><li id="mrs_01_0367__lc0149c72a8a44dfe9c0fd2606e0dba71">Select the OBS and HDFS paths and click <strong id="mrs_01_0367__b1285972018560">OK</strong>.<p id="mrs_01_0367__a621c8e5678264bcfab2a9018c487907b"><strong id="mrs_01_0367__b9127138175712">OBS Path</strong>: <strong id="mrs_01_0367__b167914356573">obs://sparksql/input/sparksql-test.txt</strong></p>
+<p id="mrs_01_0367__a3b7cca56e6c34f1980d3c2e7ea2a9ada"><strong id="mrs_01_0367__b221042317019">HDFS Path</strong>: <strong id="mrs_01_0367__b1565617261807">/user/userinput</strong></p>
+</li></ol>
+</p></li><li id="mrs_01_0367__ldd3eef379d4a4d42af77afa9b1e480f2"><span>Submit the SQL statement.</span><p><ol type="a" id="mrs_01_0367__o73c0d7304389425f82d9145eb35bc6d2"><li id="mrs_01_0367__lc5877924998c4dc38fa166544e442b6d">On the MRS console, select <strong id="mrs_01_0367__b4482616144115">Job Management</strong>. For details about how to submit the statement, see <a href="https://docs.otc.t-systems.com/en-us/usermanual/mrs/mrs_01_0524.html" target="_blank" rel="noopener noreferrer">Running a SparkSubmit or Spark Job</a>.<p id="mrs_01_0367__a9da57265752e473581353e14cbd05eef">A job can be submitted only when the <span class="parmvalue" id="mrs_01_0367__pc2ab318cd02348709ab51e04db6bb02e"><b>mrs_20160907</b></span> cluster is in the <span class="parmvalue" id="mrs_01_0367__parmvalue983710236115"><b>Running</b></span> state.</p>
+</li><li id="mrs_01_0367__l88a501d0bb944d6ba3b53eccd26f7ce9">Enter the Spark SQL statement for table creation.<p id="mrs_01_0367__a87b2d8e91cd641ad88d9062d9df85399"><a name="mrs_01_0367__l88a501d0bb944d6ba3b53eccd26f7ce9"></a><a name="l88a501d0bb944d6ba3b53eccd26f7ce9"></a>When entering Spark SQL statements, ensure that the statement characters are not more than 10,000.</p>
+<p id="mrs_01_0367__a55c4af4241774fef8b182dc9748fe4cc">Syntax:</p>
+<p id="mrs_01_0367__ae470a455aef74180b202d52b0e9f70a2"><strong id="mrs_01_0367__a19a83a68944f4235978b61eb82a7c841">CREATE</strong> [EXTERNAL] <strong id="mrs_01_0367__en-us_topic_0019549323_b89976385286">TABLE</strong> [IF NOT EXISTS] <em id="mrs_01_0367__abc53e1c9ca3f4dbd9d35dcb5e2545f19">table_name</em> [(col_name data_type [COMMENT col_comment], ...)] [COMMENT table_comment] [PARTITIONED <strong id="mrs_01_0367__a4830619a07cd4a5bbf7e4f89218337ea">BY</strong> (col_name data_type [COMMENT col_comment], ...)] [CLUSTERED <strong id="mrs_01_0367__a813ee7d5402e4d12a8df83e45b610537">BY</strong> (col_name, col_name, ...) [SORTED <strong id="mrs_01_0367__a94d22e24ac8645a88118c80960de2418">BY</strong> (col_name [ASC|DESC], ...)] INTO num_buckets BUCKETS] [ROW FORMAT row_format] [STORED <strong id="mrs_01_0367__en-us_topic_0019549323_b755712083014">AS</strong> file_format] [LOCATION hdfs_path];</p>
+<p id="mrs_01_0367__a4432aa2136ba4c17888bcc43c4ba3a0d">You can use the following two methods to create a table example:</p>
+<ul id="mrs_01_0367__ud72961a0a1144170965951f7cb847b80"><li id="mrs_01_0367__l9c963e203f84471cbf3a6c4ec7e0bffd">Method 1: Create table <strong id="mrs_01_0367__b08812579514">src_data</strong> and write data in every row.<ul id="mrs_01_0367__u819fe898597840819a88d607e8a929e1"><li id="mrs_01_0367__l5d72d3f50f8a453d97353dd2d1dae308">The data source is stored in the <span class="filepath" id="mrs_01_0367__f4ee9975da31c471c90095440ffbb93f6"><b>/user/userinput</b></span> folder of HDFS: <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_0367__cmdname20444135501419">create external table</span></b></i> <i><span class="varname" id="mrs_01_0367__v4a4ef74534b84da5b79a64806b8c59c8">src_data</span></i><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_0367__cmdname1744435581417">(line string) row format delimited fields terminated by '\\n' stored as textfile location</span></b></i> '<em id="mrs_01_0367__a6622b2f8f4714d7a8824a8de09a54928">/user/</em><em id="mrs_01_0367__acaab063ca41841dd96e4a0f7adc61ea6">userinput</em>';</li><li id="mrs_01_0367__l26d5f4cd81734291bdc2fab25eb68953">The data source is stored in the <span class="filepath" id="mrs_01_0367__febcadc1ffc604f08bdbd7ef5e2b61b18"><b>/sparksql/input</b></span> folder of OBS: <strong id="mrs_01_0367__en-us_topic_0019549323_b1602490312">create external table</strong> <em id="mrs_01_0367__en-us_topic_0019549323_i899817918320">src_data</em><strong id="mrs_01_0367__a5bc53cab32e8429c86dece0365d57b11">(line string) row format delimited fields terminated by '\\n' stored as textfile location</strong> '<em id="mrs_01_0367__en-us_topic_0019549323_i51675413211">obs://AK:SK@sparksql/input</em>';<p id="mrs_01_0367__aaefc6f1bd8ba43038752e2b5c0ca1ba4">For details about how to obtain the AK/SK, see <a href="#mrs_01_0367__sf409cb8b039d45e191bed0dc51e447e3">Prerequisites</a>.</p>
+</li></ul>
+</li><li id="mrs_01_0367__l72d005e8791d4a27a8935855623e418f">Method 2: Create table <strong id="mrs_01_0367__b20379116187">src_data1</strong> and load data to the table in batches.<p id="mrs_01_0367__a4f1ca8550ea943a395c708f141617028"><strong id="mrs_01_0367__a54f49c233b8f40098a9de0931ac3d688">create table</strong> <em id="mrs_01_0367__a1738e948b07349708046e32faae7979a">src_data1</em> <strong id="mrs_01_0367__a00a9492ef11444029d74780376b6027e">(line string) row format delimited fields terminated by ','</strong> ;</p>
+<p id="mrs_01_0367__ae3b3e71945cc4bc797389fa550b55084"><strong id="mrs_01_0367__en-us_topic_0019549323_b201193147425">load data inpath</strong> '<em id="mrs_01_0367__aed64243e07a54e9f9408ef30bee41078">/user/</em><em id="mrs_01_0367__a840f5ce9bf9c4b4f8e77ba153b4f3fd1">userinput/sparksql-test.txt</em>' <strong id="mrs_01_0367__a63c20e272d1b48b881d788017b4ad1fd">into table</strong> <em id="mrs_01_0367__en-us_topic_0019549323_i137839395428">src_data1</em>;</p>
+</li></ul>
+<div class="note" id="mrs_01_0367__n97342fa4140b46079eddb6a5ffc0c15e"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0367__a52a3b74c4c8e4b089ef36ec0ec8ace02">When method 2 is used, the data from OBS cannot be loaded to the created tables directly.</p>
+</div></div>
+</li><li id="mrs_01_0367__l0c4bdea4aa5844d5a138a4848ffaffda">Enter the Spark SQL statement for table query.<p id="mrs_01_0367__aef277db2b7be4dea941c47ce7b302487"><a name="mrs_01_0367__l0c4bdea4aa5844d5a138a4848ffaffda"></a><a name="l0c4bdea4aa5844d5a138a4848ffaffda"></a>Syntax:</p>
+<p id="mrs_01_0367__a3b23be6ca70a4d529210a283f38a927c"><strong id="mrs_01_0367__ab0abd593eba7419f9e2fa7300dd5f04d">SELECT</strong> col_name <strong id="mrs_01_0367__en-us_topic_0019549323_b640615474443">FROM</strong> <em id="mrs_01_0367__af78a6f06bb6d41c8b5b6bcf10dc6cd4b">table_name</em>;</p>
+<p id="mrs_01_0367__ac2c7928377b944d18b6c034fdf6a297b">Example of querying all data in the <strong id="mrs_01_0367__b484001792">src_data</strong> table:</p>
+<p id="mrs_01_0367__a86280a9dd77545f2af2022a295dd7936"><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_0367__c3d9e4f488825415eadd7cfa8b0edc438">select * from src_data;</span></b></i></p>
+</li><li id="mrs_01_0367__l359d5323c22a41159d5a6368bea4fca5">Enter the Spark SQL statement for table deletion.<p id="mrs_01_0367__aa3791b4b12384904bcb549ff9b30dec3"><a name="mrs_01_0367__l359d5323c22a41159d5a6368bea4fca5"></a><a name="l359d5323c22a41159d5a6368bea4fca5"></a>Syntax:</p>
+<p id="mrs_01_0367__a2eba189dc72840fbb3f15ffe10fbab2c"><strong id="mrs_01_0367__abbda4aba50b14df5877aadc43d4fc105">DROP TABLE</strong> [IF EXISTS] <em id="mrs_01_0367__en-us_topic_0019549323_i169212486454">table_name</em>;</p>
+<p id="mrs_01_0367__ad5f866ee5ed949599b2d300c67affbfc">Example of deleting the <strong id="mrs_01_0367__b11949125151118">src_data</strong> table:</p>
+<p id="mrs_01_0367__af69f8cf4b7654a1f9f42ad07911dc386"><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_0367__cf2cd8f614b41412c920a13fcb389bde0">drop table src_data;</span></b></i></p>
+</li><li id="mrs_01_0367__l285960a036334c6c9a952297c56dfb17">Click <strong id="mrs_01_0367__b27231725121114">Check</strong> to check the statement correctness.</li><li id="mrs_01_0367__l9044613714934e06888df1be13f8f2c9">Click <span class="uicontrol" id="mrs_01_0367__uicontrol9132134510116"><b>OK</b></span>.<p id="mrs_01_0367__a3ae9ba9056134bf492f510bd7e6cab79">After the Spark SQL statements are submitted, the statement execution results are displayed in the result column.</p>
+</li></ol>
+</p></li><li id="mrs_01_0367__l2131e3a7a72b4a41bca2bf862944b811"><span>Delete the cluster.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0589.html">Using Spark</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_0368"></a><a name="mrs_01_0368"></a>
+
+<h1 class="topictitle1">Using HBase from Scratch</h1>
+<div id="body8662426"><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p8060118">HBase is a column-based distributed storage system that features high reliability, performance, and scalability. This section describes how to use HBase from scratch, including how to update the client on the Master node in the cluster, create a table using the client, insert data in the table, modify the table, read data from the table, delete table data, and delete the table.</p>
+<div class="section" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_s8fc13f1c40ea4f149989758261fb40e6"><h4 class="sectiontitle">Background</h4><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_aa6bb651d9fdc48249b2e258e8dd36987">Suppose a user develops an application to manage users who use service A in an enterprise. The procedure of operating service A on the HBase client is as follows:</p>
+<ul id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_ufb6be56b34b24b42b414a82f147e9483"><li id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_le7f87bd280e6448fb638db9a748aefdf">Create the <strong id="mrs_01_0368__b9779227184210">user_info</strong> table.</li><li id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_lee40db3e7049462584b60ba65919ab05">Add users' educational backgrounds and titles to the table.</li><li id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_l4f59951cb9de4db4a0920a457495ebba">Query user names and addresses by user ID.</li><li id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_l7d373338426f4febaaf45a15f944c52b">Query information by user name.</li><li id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_l8ab9b590395d415dad6d4911d2e0b6cd">Deregister users and delete user data from the user information table.</li><li id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_l0caa82526a5a4227909b3c75691ae936">Delete the user information table after service A ends.</li></ul>
+</div>
+
+<div class="tablenoborder"><a name="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_table27353390"></a><a name="en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_table27353390"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_table27353390" frame="border" border="1" rules="all"><caption><b>Table 1 </b>User information</caption><thead align="left"><tr id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_row32789387"><th align="left" class="cellrowborder" valign="top" width="19.998000199980005%" id="mcps1.3.3.2.6.1.1"><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p38694667"><strong id="mrs_01_0368__b279113813430">ID</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.678432156784321%" id="mcps1.3.3.2.6.1.2"><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p22689808"><strong id="mrs_01_0368__b20619199104320">Name</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="17.558244175582445%" id="mcps1.3.3.2.6.1.3"><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p32089967"><strong id="mrs_01_0368__b13822131154310">Gender</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.2984701529847%" id="mcps1.3.3.2.6.1.4"><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p39701876"><strong id="mrs_01_0368__b16628181215439">Age</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="31.46685331466853%" id="mcps1.3.3.2.6.1.5"><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p18747312"><strong id="mrs_01_0368__b858521318438">Address</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_row43691456"><td class="cellrowborder" valign="top" width="19.998000199980005%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p49347015">12005000201</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.678432156784321%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p37685299">A</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.558244175582445%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p32610412">Male</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.2984701529847%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p24197721">19</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.46685331466853%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p13858403">City A</p>
+</td>
+</tr>
+<tr id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_row57616766"><td class="cellrowborder" valign="top" width="19.998000199980005%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p36446461">12005000202</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.678432156784321%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p66482253">B</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.558244175582445%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p16353430">Female</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.2984701529847%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p49559423">23</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.46685331466853%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p54890288">City B</p>
+</td>
+</tr>
+<tr id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_row24250547"><td class="cellrowborder" valign="top" width="19.998000199980005%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p18137316">12005000203</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.678432156784321%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p59836530">C</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.558244175582445%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p14920772">Male</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.2984701529847%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p623043">26</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.46685331466853%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p50466518">City C</p>
+</td>
+</tr>
+<tr id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_row51545483"><td class="cellrowborder" valign="top" width="19.998000199980005%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p14434584">12005000204</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.678432156784321%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p28350637">D</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.558244175582445%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p14700275">Male</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.2984701529847%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p49871633">18</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.46685331466853%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p13070512">City D</p>
+</td>
+</tr>
+<tr id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_row50525752"><td class="cellrowborder" valign="top" width="19.998000199980005%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p66054074">12005000205</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.678432156784321%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p48779793">E</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.558244175582445%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p58849189">Female</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.2984701529847%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p2055005">21</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.46685331466853%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p32237730">City E</p>
+</td>
+</tr>
+<tr id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_row21704116"><td class="cellrowborder" valign="top" width="19.998000199980005%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p13202999">12005000206</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.678432156784321%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p62809978">F</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.558244175582445%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p54443429">Male</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.2984701529847%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p47841633">32</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.46685331466853%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p49967061">City F</p>
+</td>
+</tr>
+<tr id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_row47050372"><td class="cellrowborder" valign="top" width="19.998000199980005%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p52983808">12005000207</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.678432156784321%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p63830089">G</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.558244175582445%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p2854726">Female</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.2984701529847%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p29906272">29</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.46685331466853%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p6488958">City G</p>
+</td>
+</tr>
+<tr id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_row58400626"><td class="cellrowborder" valign="top" width="19.998000199980005%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p32830290">12005000208</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.678432156784321%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p42007851">H</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.558244175582445%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p47192740">Female</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.2984701529847%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p64515557">30</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.46685331466853%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p58377623">City H</p>
+</td>
+</tr>
+<tr id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_row55636561"><td class="cellrowborder" valign="top" width="19.998000199980005%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p10267631">12005000209</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.678432156784321%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p26371793">I</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.558244175582445%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p55740512">Male</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.2984701529847%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p18687619">26</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.46685331466853%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p37302179">City I</p>
+</td>
+</tr>
+<tr id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_row175293"><td class="cellrowborder" valign="top" width="19.998000199980005%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p14198754">12005000210</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.678432156784321%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p9248440">J</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.558244175582445%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p10926182">Male</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.2984701529847%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p12605589">25</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.46685331466853%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p14419821">City J</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="section" id="mrs_01_0368__section16144125273517"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_0368__p1797113171213">The client has been installed. For example, the client is installed in the <strong id="mrs_01_0368__b5461726173811">/opt</strong><strong id="mrs_01_0368__b1346112610388"></strong><strong id="mrs_01_0368__b114617267382">/client</strong> directory. The client directory in the following operations is only an example. Change it to the actual installation directory. Before using the client, download and update the client configuration file, and ensure that the active management node of Manager is available.</p>
+</div>
+<div class="section" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_sa545593fee0d4deda232a76a7db99db4"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_0368__p13444173135518">For versions earlier than MRS 3.x, perform the following operations:</p>
+<ol id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_o4aea6ac002494d60a743261275ffd54d"><li id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_l6b58a848ef0f4fe6a361d4ef0ac39fb8"><a name="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_l6b58a848ef0f4fe6a361d4ef0ac39fb8"></a><a name="en-us_topic_0229422393_en-us_topic_0173178212_l6b58a848ef0f4fe6a361d4ef0ac39fb8"></a><span>Download the client configuration file.</span><p><ol type="a" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_o10934933c3364550a0be5195fbfc2f32"><li id="mrs_01_0368__li1799392319436">Log in to MRS Manager. For details, see <a href="mrs_01_2123.html">Accessing Manager</a>. Then, choose <strong id="mrs_01_0368__b1956411591614">Services</strong>.</li><li id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_le025c1892e7147e290dff3b94a1d0393">Click <span class="uicontrol" id="mrs_01_0368__uicontrol103217557504"><b>Download Client</b></span>.<p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_a05a2dba8ee714c9490116ce98af9b812">Set <span class="parmname" id="mrs_01_0368__parmname172174244519"><b>Client Type</b></span> to <span class="parmvalue" id="mrs_01_0368__parmvalue2222224155111"><b>Only configuration files</b></span>, <span class="parmname" id="mrs_01_0368__parmname51031226112316"><b>Download To</b></span> to <span class="parmvalue" id="mrs_01_0368__parmvalue5222122414515"><b>Server</b></span>, and click <span class="uicontrol" id="mrs_01_0368__uicontrol422212475119"><b>OK</b></span> to generate the client configuration file. The generated file is saved in the <strong id="mrs_01_0368__b9222624175112">/tmp/MRS-client</strong> directory on the active management node by default. You can customize the file path.</p>
+</li></ol>
+</p></li><li id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_l5b697da80f724b049e94ef386ccc134d"><span>Log in to the active management node of MRS Manager.</span><p><ol type="a" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_oad0dd0b610c34488815d2b07e4656c11"><li id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_l52f4be0ff6434297a1b84c6a772a9828">On the <span class="wintitle" id="mrs_01_0368__wintitle2051224969143126"><b>Node</b></span> tab page, view the <strong id="mrs_01_0368__b842352706143150">Name</strong> parameter. The node that contains <span class="parmvalue" id="mrs_01_0368__parmvalue2050481242143221"><b>master1</b></span> in its name is the Master1 node. The node that contains <span class="parmvalue" id="mrs_01_0368__parmvalue819447924143256"><b>master2</b></span> in its name is the Master2 node.<p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_a2f41d2e8a2434da2a56a6f48035e2d15">The active and standby management nodes of MRS Manager are installed on Master nodes by default. Because Master1 and Master2 are switched over in active and standby mode, Master1 is not always the active management node of MRS Manager. Run a command in Master1 to check whether Master1 is active management node of MRS Manager. For details about the command, see <a href="#mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_le8e7045cece741e8b6209b929a50ff22">2.d</a>.</p>
+</li><li id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_lad0d75a7717442b68338881c7c895c81">Log in to the Master1 node using the password as user <strong id="mrs_01_0368__b1563722621918">root</strong>. For details, see <a href="https://docs.otc.t-systems.com/usermanual/mrs/mrs_01_0083.html" target="_blank" rel="noopener noreferrer">Logging In to an ECS</a>.</li><li id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_l96479867566a4bd59da83a86f87373ef">Run the following commands to switch to user <strong id="mrs_01_0368__b773124319532">omm</strong>:<p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_adbc6f7bd4142423a89ea39d9d7347674"><strong id="mrs_01_0368__b946729183115">sudo su - root</strong></p>
+<p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_a09516e4f38e44d8085ab1e7b041fddc0"><strong id="mrs_01_0368__b517515173116">su - omm</strong></p>
+</li><li id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_le8e7045cece741e8b6209b929a50ff22"><a name="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_le8e7045cece741e8b6209b929a50ff22"></a><a name="en-us_topic_0229422393_en-us_topic_0173178212_le8e7045cece741e8b6209b929a50ff22"></a>Run the following command to check the active management node of MRS Manager:<p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_ae3cb33a0b8a7477c92f6b05767f136c3"><a name="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_le8e7045cece741e8b6209b929a50ff22"></a><a name="en-us_topic_0229422393_en-us_topic_0173178212_le8e7045cece741e8b6209b929a50ff22"></a><b><span class="cmdname" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_c73101799356c44f6a213b083c96e3df0">sh ${BIGDATA_HOME}/om-0.0.1/sbin/status-oms.sh</span></b></p>
+<p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_a2e14fbc736604468bd7585d96245cd58">In the command output, the node whose <span class="parmname" id="mrs_01_0368__parmname182280010586"><b>HAActive</b></span> is <span class="parmvalue" id="mrs_01_0368__parmvalue42331702587"><b>active</b></span> is the active management node, and the node whose <span class="parmname" id="mrs_01_0368__parmname1423317014584"><b>HAActive</b></span> is <span class="parmvalue" id="mrs_01_0368__parmvalue1523317013581"><b>standby</b></span> is the standby management node. In the following example, <strong id="mrs_01_0368__b20233204585">mgtomsdat-sh-3-01-1</strong> is the active management node, and <strong id="mrs_01_0368__b142348035812">mgtomsdat-sh-3-01-2</strong> is the standby management node.</p>
+<pre class="screen" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_sd906fdd3601748af837ddf8172bd0e75">Ha mode
+double
+NodeName              HostName                      HAVersion          StartTime                HAActive             HAAllResOK           HARunPhase 
+192-168-0-30          mgtomsdat-sh-3-01-1           V100R001C01        2019-11-18 23:43:02      <strong id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_a62984b3e97d740d3bc709bb1da033a2f">active</strong>               normal               Actived    
+192-168-0-24          mgtomsdat-sh-3-01-2           V100R001C01        2019-11-21 07:14:02      <strong id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_a0e295160fa664c039307227c54701117">standby</strong>              normal               Deactived</pre>
+</li><li id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_lde3b2ea113c34b4687592dfdc8b454c2">Log in to the active management node, for example, <span class="parmvalue" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_p4fa8933886834ca8854b5d0617f23f10"><b>192-168-0-30</b></span> of MRS Manager as user <strong id="mrs_01_0368__b15755203051811">root</strong>, and run the following command to switch to user <strong id="mrs_01_0368__b1426520364189">omm</strong>:<p id="mrs_01_0368__p646554163014"><strong id="mrs_01_0368__b277316488327">sudo su - omm</strong></p>
+</li></ol>
+</p></li><li id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_l187b3ef7d91249bfb5f68eec47153c36"><span>Run the following command to switch to the client installation directory, for example, <span class="filepath" id="mrs_01_0368__filepath102271523514"><b>/opt/client</b></span>:</span><p><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p357910583196"><b><span class="cmdname" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_c80d51658ea4842c68f915afed0247987">cd /opt/client</span></b></p>
+</p></li><li id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_lc39cdd52f6ac479ab273ecabbffd083b"><a name="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_lc39cdd52f6ac479ab273ecabbffd083b"></a><a name="en-us_topic_0229422393_en-us_topic_0173178212_lc39cdd52f6ac479ab273ecabbffd083b"></a><span>Run the following command to update the client configuration for the active management node.</span><p><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p4610751203"><strong id="mrs_01_0368__b2643183718614">sh refreshConfig.sh /opt/client</strong> <i><span class="varname" id="mrs_01_0368__varname42077435588">Full path of the client configuration file package</span></i></p>
+<p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p461020511200">For example, run the following command:</p>
+<p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p556680571064"><strong id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_a016ef072f6994457ba8c4988faa524b6">sh refreshConfig.sh /opt/client /tmp/MRS-</strong><strong id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_af1eae3cb3bf449269db10c1df25194d9">c</strong><strong id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_a2b344f9e4a0c41ed8194dc65b9fbcc6f">lient/MRS_Services_Client.tar</strong></p>
+<p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p661075172018">If the following information is displayed, the configurations have been updated successfully.</p>
+<pre class="screen" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_s38bfe3be413e4853bb9d0ee12353c8d4">ReFresh components client config is complete.
+Succeed to refresh components client config.</pre>
+<div class="note" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_n7db6fa88e8fe4d84916aa5e228335142"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p613218111518">You can refer to steps <a href="#mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_l6b58a848ef0f4fe6a361d4ef0ac39fb8">1</a> to <a href="#mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_lc39cdd52f6ac479ab273ecabbffd083b">4</a> or Method 2 in <a href="https://docs.otc.t-systems.com/en-us/usermanual/mrs/mrs_01_0089.html" target="_blank" rel="noopener noreferrer">Updating a Client</a>.</p>
+</div></div>
+</p></li><li id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_l6556791324fa484e91dc201b480e3115"><span>Use the client on a Master node.</span><p><ol type="a" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_od49292eae1f845e8a383e761ce0ce2f7"><li id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_led80939ae6024a9ba8841d649d5132b4">On the active management node where the client is updated, for example, node <span class="parmvalue" id="mrs_01_0368__parmvalue63001169215"><b>192-168-0-30</b></span>, run the following command to go to the client directory:<p id="mrs_01_0368__p852420598612"><strong id="mrs_01_0368__b796522518712">cd /opt/client</strong></p>
+</li><li id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_ldf91db8293354ac4beabdf4679eb0034">Run the following command to configure environment variables:<p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p711917124619"><a name="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_ldf91db8293354ac4beabdf4679eb0034"></a><a name="en-us_topic_0229422393_en-us_topic_0173178212_ldf91db8293354ac4beabdf4679eb0034"></a><strong id="mrs_01_0368__b09435016338">source bigdata_env</strong></p>
+</li><li id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_le6f90e19da384d2689c1b5ca5896f874">If Kerberos authentication is enabled for the current cluster, run the following command to authenticate the current user. The current user must have the permission to create HBase tables. If Kerberos authentication is disabled for the current cluster, skip this step.<p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_aeaf76195462f4119af05c698566aba09"><a name="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_le6f90e19da384d2689c1b5ca5896f874"></a><a name="en-us_topic_0229422393_en-us_topic_0173178212_le6f90e19da384d2689c1b5ca5896f874"></a><strong id="mrs_01_0368__b63065667193458">kinit</strong> <em id="mrs_01_0368__i6148471145146">MRS cluster user</em></p>
+<p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_p809043511651">For example, <strong id="mrs_01_0368__b139531465310">kinit hbaseuser</strong>.</p>
+</li><li id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_li8119414469">Run the following HBase client command:<p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_ae866cfe594424869bd57657b6921e1a8"><a name="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_li8119414469"></a><a name="en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_li8119414469"></a><strong id="mrs_01_0368__b5559429123314">hbase shell</strong></p>
+</li></ol>
+</p></li><li id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_l72325514221f4c47905ce1a811f630c6"><span>Run the following commands on the HBase client to implement service A.</span><p><ol type="a" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_o49ed6b6bfa07416b84436509495353cc"><li id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_leff73fdf0f7249d7860295f1ec5a040a">Create the <strong id="mrs_01_0368__b1892014515416">user_info</strong> user information table according to <a href="#mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_table27353390">Table 1</a> and add data to it.<p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_a7623622063a341718c8657297dd100b8"><strong id="mrs_01_0368__b676403473312">create</strong> '<i><span class="varname" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_vac1206098b27480e994a464e9cd24eae">user_info</span></i>',{<b><span class="cmdname" id="mrs_01_0368__cmdname71111839133316">NAME</span></b> =&gt; 'i'}</p>
+<p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_a632c54e6710048bc9f8184fe7fa1a052">For example, to add information about the user whose ID is 12005000201, run the following commands:</p>
+<p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_a7b5bb037eacd4b42a8edf14963802707"><b><span class="cmdname" id="mrs_01_0368__cmdname11921114314335">put</span></b> '<i><span class="varname" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_vd8d67d2b216246dca464164dd7380783">user_info</span></i>','<i><span class="varname" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_va87bb3efa36e456a84f4ef912c369a5d">12005000201</span></i>','<em id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_a13fc4324b0234bfeaa1821cd45596c8f"><strong id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_aa0362304fb854f5e93ffa76a850396dc">i:name</strong></em>','<i><span class="varname" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_v345c6da428d8444fbfddd091b0d632eb">A</span></i>'</p>
+<p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_ab7a7e98729744258b3e09764f4db3d94"><b><span class="cmdname" id="mrs_01_0368__cmdname1259224923310">put</span></b> '<i><span class="varname" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_v93a7a32f56ec44b98589c92dc79f305d">user_info</span></i>','<i><span class="varname" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_vd55904ca5d92435db04066a9d0a288bd">12005000201</span></i>','<em id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_ac20ac7b5e43b4d6688d18ea3c6741a00"><strong id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_ad2d6ac1099e1456cb067d39a0c53dec8">i:gender</strong></em>','<i><span class="varname" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_vd158e89afd1a4c3193ba5495bf2e520e">Male</span></i>'</p>
+<p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_aa7b65e28bef5493faf5c6f11bb7bcd26"><b><span class="cmdname" id="mrs_01_0368__cmdname10599185318339">put</span></b> '<i><span class="varname" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_v1802a7a1bb1c4530ae6a51fbfe2da275">user_info</span></i>','<i><span class="varname" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_v178e4596f9154eae8593189aeb1c7c3e">12005000201</span></i>','<em id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_a35d96cc91f8e448f982ff099f7670c74"><strong id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_add6340fbd3354fe1b4ad21cf5e11c04f">i:age</strong></em>','<i><span class="varname" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_v8213f2e0170840f9a95f086dbddec372">19</span></i>'</p>
+<p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_a64f0bafbae8e46a0b1372c4b849793cf"><b><span class="cmdname" id="mrs_01_0368__cmdname997817575335">put</span></b> '<i><span class="varname" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_v79eb459bbdda4e42a8fd889f8cb3a7df">user_info</span></i>','<i><span class="varname" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_v775b6e6f03e540f886395d553a4ec175">12005000201</span></i>','<em id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_a17590b72a8b14c43b0617b4135a4c220"><strong id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_a03cd0224bf234a6990db960def5e1090">i:address</strong></em>','<i><span class="varname" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_v24f0cf38ff5841f0b1a68f5b98dffbbf">City A</span></i>'</p>
+</li><li id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_l2be54450a3a640a3bdabc00600059a0c">Add users' educational backgrounds and titles to the <strong id="mrs_01_0368__b19990182419412">user_info</strong> table.<p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_ac3d628b5c61e4c8f9309e37011e3ead1">For example, to add educational background and title information about user 12005000201, run the following commands:</p>
+<p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_a13db09a8b2cf4d5aace73056f62e1f71"><b><span class="cmdname" id="mrs_01_0368__cmdname1622017393416">put</span></b> '<i><span class="varname" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_va4edf2e10bb0499b9fa51b4651ef8961">user_info</span></i>','<i><span class="varname" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_v8d442d0cfc004314ba627c4d5dc23888">12005000201</span></i>','<b><span class="cmdname" id="mrs_01_0368__cmdname13333197133410">i:degree</span></b>','<i><span class="varname" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_v5a9e4f4a1d2e4c4baacfff22ed33cb11">master</span></i>'</p>
+<p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_a9f2168b804754833b6cae9e5d04fe131"><b><span class="cmdname" id="mrs_01_0368__cmdname7553161433411">put</span></b> '<i><span class="varname" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_v4be2e46831644d5c93efdabc9297e2c2">user_info</span></i>','<i><span class="varname" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_v4bd2e03b60b844b8bf1e27c50f47bb32">12005000201</span></i>','<b><span class="cmdname" id="mrs_01_0368__cmdname20865619133413">i:pose</span></b>','<i><span class="varname" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_v5a091d93d93a4a88868dac9d917da6b9">manager</span></i>'</p>
+</li><li id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_l29004d89823244708197502874e0fc21">Query user names and addresses by user ID.<p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_af5ff71bfed8b4536b043977b20347d75"><a name="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_l29004d89823244708197502874e0fc21"></a><a name="en-us_topic_0229422393_en-us_topic_0173178212_l29004d89823244708197502874e0fc21"></a>For example, to query the name and address of user 12005000201, run the following command:</p>
+<p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_aca0213f4f23a47efaae70d3c39a378b6"><b><span class="cmdname" id="mrs_01_0368__cmdname161561826203414">scan</span></b>'<i><span class="varname" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_v812525832bba42b4877893488b67d21f">user_info</span></i>',{<b><span class="cmdname" id="mrs_01_0368__cmdname86421531183416">STARTROW</span></b>=&gt;'<i><span class="varname" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_v40dfcf0355b44a809a9cadbc39e0a042">12005000201</span></i>',<b><span class="cmdname" id="mrs_01_0368__cmdname45458364342">STOPROW</span></b>=&gt;'<i><span class="varname" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_v220b6a5e69db47908d62470846cbc703">12005000201</span></i>',<b><span class="cmdname" id="mrs_01_0368__cmdname20332124110342">COLUMNS</span></b>=&gt;['<b><span class="cmdname" id="mrs_01_0368__cmdname134291446113413">i:name</span></b>','<b><span class="cmdname" id="mrs_01_0368__cmdname7735205163410">i:address</span></b>']}</p>
+</li><li id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_l9d24bb35d4ae42858034d65042472fd3">Query information by user name.<p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_a1ade36b20c9243feab444af8a7acc754"><a name="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_l9d24bb35d4ae42858034d65042472fd3"></a><a name="en-us_topic_0229422393_en-us_topic_0173178212_l9d24bb35d4ae42858034d65042472fd3"></a>For example, to query information about user A, run the following command:</p>
+<p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_aea00d154c23d4ed9b0cd2ca8868a5387"><b><span class="cmdname" id="mrs_01_0368__cmdname1356375610344">scan</span></b>'<i><span class="varname" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_v11fa7301c2db499ea4ab9bfa8203ea67">user_info</span></i>',{<b><span class="cmdname" id="mrs_01_0368__cmdname12345121113518">FILTER</span></b>=&gt;"SingleColumnValueFilter('i','name',=,'binary:<i><span class="varname" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_v725a482284b741da96aeeb2919a654fa">A</span></i>')"}</p>
+</li><li id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_l7b3b2f0f1b1a463cb220bca0774b179b">Delete user data from the user information table.<p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_a0f6cc7dc065749d7b8eece9e2f6dc4d7"><a name="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_l7b3b2f0f1b1a463cb220bca0774b179b"></a><a name="en-us_topic_0229422393_en-us_topic_0173178212_l7b3b2f0f1b1a463cb220bca0774b179b"></a>All user data needs to be deleted. For example, to delete data of user 12005000201, run the following command:</p>
+<p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_a3be588ccee794c8e882275d3236a160a"><b><span class="cmdname" id="mrs_01_0368__cmdname1175815615358">delete</span></b>'<i><span class="varname" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_v43716040afd64687a2a1b74635cf51ef">user_info</span></i>','<i><span class="varname" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_v4cade52d26354436b1718cfe3c3b05c8">12005000201</span></i>','i'</p>
+</li><li id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_l71a536c2d3c24e0db0475c20e657cd97">Delete the user information table.<p id="mrs_01_0368__p1075244171610"><a name="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_l71a536c2d3c24e0db0475c20e657cd97"></a><a name="en-us_topic_0229422393_en-us_topic_0173178212_l71a536c2d3c24e0db0475c20e657cd97"></a><b><span class="cmdname" id="mrs_01_0368__cmdname9751444171616">disable</span></b>'<i><span class="varname" id="mrs_01_0368__varname9752443169">user_info</span></i>'</p>
+<p id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_ac2f7103d996442b7964024375b174f29"><b><span class="cmdname" id="mrs_01_0368__cmdname57671715143518">drop</span></b> '<i><span class="varname" id="mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_v67e2f0c67b3540b18d1797970fe720eb">user_info</span></i>'</p>
+</li></ol>
+</p></li></ol>
+<p id="mrs_01_0368__p3543825154418">For MRS 3.x or later, perform the following operations:</p>
+<ol id="mrs_01_0368__ol6541192513443"><li id="mrs_01_0368__li125471325154412"><span>Use the client on the active management node.</span><p><ol type="a" id="mrs_01_0368__ol354792524413"><li id="mrs_01_0368__li9548192594420">Log in to the node where the client is installed as the client installation user and run the following command to switch to the client directory:<p id="mrs_01_0368__p254862574416"><a name="mrs_01_0368__li9548192594420"></a><a name="li9548192594420"></a><strong id="mrs_01_0368__b49171591198">cd /opt/client</strong></p>
+</li><li id="mrs_01_0368__li6548112519448">Run the following command to configure environment variables:<p id="mrs_01_0368__p13548182584419"><a name="mrs_01_0368__li6548112519448"></a><a name="li6548112519448"></a><b><span class="cmdname" id="mrs_01_0368__cmdname9875143411528">source bigdata_env</span></b></p>
+</li><li id="mrs_01_0368__li155485252445">If Kerberos authentication is enabled for the current cluster, run the following command to authenticate the current user. The current user must have the permission to create HBase tables. If Kerberos authentication is disabled for the current cluster, skip this step.<p id="mrs_01_0368__p14548142518442"><a name="mrs_01_0368__li155485252445"></a><a name="li155485252445"></a><strong id="mrs_01_0368__b1945491611570">kinit</strong> <em id="mrs_01_0368__i16455131615572">MRS cluster user</em></p>
+<p id="mrs_01_0368__p054812512442">For example, <strong id="mrs_01_0368__b13816111912578">kinit hbaseuser</strong>.</p>
+</li><li id="mrs_01_0368__li3549192519445">Run the following HBase client command:<p id="mrs_01_0368__p65499251449"><a name="mrs_01_0368__li3549192519445"></a><a name="li3549192519445"></a><b><span class="cmdname" id="mrs_01_0368__cmdname9711414195319">hbase shell</span></b></p>
+</li></ol>
+</p></li><li id="mrs_01_0368__li1549182594417"><span>Run the following commands on the HBase client to implement service A.</span><p><ol type="a" id="mrs_01_0368__ol1154982512449"><li id="mrs_01_0368__li554972511449">Create the <strong id="mrs_01_0368__b0722173375712">user_info</strong> user information table according to <a href="#mrs_01_0368__en-us_topic_0229422393_en-us_topic_0173178212_en-us_topic_0037446806_table27353390">Table 1</a> and add data to it.<p id="mrs_01_0368__p3549202544418"><b><span class="cmdname" id="mrs_01_0368__cmdname43711519185311">create</span></b> '<i><span class="varname" id="mrs_01_0368__varname8549132564412">user_info</span></i>',{<b><span class="cmdname" id="mrs_01_0368__cmdname882132312539">NAME</span></b> =&gt; 'i'}</p>
+<p id="mrs_01_0368__p454932584417">For example, to add information about the user whose ID is <strong id="mrs_01_0368__b1088685015715">12005000201</strong>, run the following commands:</p>
+<p id="mrs_01_0368__p1554932584417"><b><span class="cmdname" id="mrs_01_0368__cmdname611511286531">put</span></b> '<i><span class="varname" id="mrs_01_0368__varname1154918256442">user_info</span></i>','<i><span class="varname" id="mrs_01_0368__varname9549152554418">12005000201</span></i>','<em id="mrs_01_0368__i13549182514410"><strong id="mrs_01_0368__b1254992564417">i:name</strong></em>','<i><span class="varname" id="mrs_01_0368__varname85491325164413">A</span></i>'</p>
+<p id="mrs_01_0368__p18549182514418"><b><span class="cmdname" id="mrs_01_0368__cmdname2185733105317">put</span></b> '<i><span class="varname" id="mrs_01_0368__varname5549132554418">user_info</span></i>','<i><span class="varname" id="mrs_01_0368__varname125491525164414">12005000201</span></i>','<em id="mrs_01_0368__i175491625184417"><strong id="mrs_01_0368__b11549525174414">i:gender</strong></em>','<i><span class="varname" id="mrs_01_0368__varname655042514441">Male</span></i>'</p>
+<p id="mrs_01_0368__p45501425104416"><b><span class="cmdname" id="mrs_01_0368__cmdname122731537125310">put</span></b> '<i><span class="varname" id="mrs_01_0368__varname555013259448">user_info</span></i>','<i><span class="varname" id="mrs_01_0368__varname14550225154410">12005000201</span></i>','<em id="mrs_01_0368__i145509257448"><strong id="mrs_01_0368__b13550182524411">i:age</strong></em>','<i><span class="varname" id="mrs_01_0368__varname1555012254443">19</span></i>'</p>
+<p id="mrs_01_0368__p35501025184419"><b><span class="cmdname" id="mrs_01_0368__cmdname717216414535">put</span></b> '<i><span class="varname" id="mrs_01_0368__varname555042518446">user_info</span></i>','<i><span class="varname" id="mrs_01_0368__varname1455032594414">12005000201</span></i>','<em id="mrs_01_0368__i55501425174414"><strong id="mrs_01_0368__b65502256448">i:address</strong></em>','<i><span class="varname" id="mrs_01_0368__varname6550162511449">City A</span></i>'</p>
+</li><li id="mrs_01_0368__li55505253444">Add users' educational backgrounds and titles to the <strong id="mrs_01_0368__b842165355719">user_info</strong> table.<p id="mrs_01_0368__p75501250441">For example, to add educational background and title information about user 12005000201, run the following commands:</p>
+<p id="mrs_01_0368__p1855010251442"><b><span class="cmdname" id="mrs_01_0368__cmdname4421346155314">put</span></b> '<i><span class="varname" id="mrs_01_0368__varname1155010256448">user_info</span></i>','<i><span class="varname" id="mrs_01_0368__varname1255022584410">12005000201</span></i>','<b><span class="cmdname" id="mrs_01_0368__cmdname619450135315">i:degree</span></b>','<i><span class="varname" id="mrs_01_0368__varname3550112564420">master</span></i>'</p>
+<p id="mrs_01_0368__p115501525164411"><b><span class="cmdname" id="mrs_01_0368__cmdname144835455311">put</span></b> '<i><span class="varname" id="mrs_01_0368__varname6550132515448">user_info</span></i>','<i><span class="varname" id="mrs_01_0368__varname355182511441">12005000201</span></i>','<b><span class="cmdname" id="mrs_01_0368__cmdname19653135785315">i:pose</span></b>','<i><span class="varname" id="mrs_01_0368__varname1355112253446">manager</span></i>'</p>
+</li><li id="mrs_01_0368__li1355172574413">Query user names and addresses by user ID.<p id="mrs_01_0368__p145511625174416"><a name="mrs_01_0368__li1355172574413"></a><a name="li1355172574413"></a>For example, to query the name and address of user 12005000201, run the following command:</p>
+<p id="mrs_01_0368__p85511625124417"><b><span class="cmdname" id="mrs_01_0368__cmdname16258143195418">scan</span></b>'<i><span class="varname" id="mrs_01_0368__varname6551825164419">user_info</span></i>',{<b><span class="cmdname" id="mrs_01_0368__cmdname1941275541">STARTROW</span></b>=&gt;'<i><span class="varname" id="mrs_01_0368__varname1655132524416">12005000201</span></i>',<b><span class="cmdname" id="mrs_01_0368__cmdname10328171115547">STOPROW</span></b>=&gt;'<i><span class="varname" id="mrs_01_0368__varname755162514411">12005000201</span></i>',<b><span class="cmdname" id="mrs_01_0368__cmdname13152515175420">COLUMNS</span></b>=&gt;['<b><span class="cmdname" id="mrs_01_0368__cmdname879762415541">i:name</span></b>','<b><span class="cmdname" id="mrs_01_0368__cmdname4362152819545">i:address</span></b>']}</p>
+</li><li id="mrs_01_0368__li755110252441">Query information by user name.<p id="mrs_01_0368__p1855172511442"><a name="mrs_01_0368__li755110252441"></a><a name="li755110252441"></a>For example, to query information about user A, run the following command:</p>
+<p id="mrs_01_0368__p755119258442"><b><span class="cmdname" id="mrs_01_0368__cmdname8844153216546">scan</span></b>'<i><span class="varname" id="mrs_01_0368__varname13551102516445">user_info</span></i>',{<b><span class="cmdname" id="mrs_01_0368__cmdname15734163611542">FILTER</span></b>=&gt;"SingleColumnValueFilter('i','name',=,'binary:<i><span class="varname" id="mrs_01_0368__varname15551625144414">A</span></i>')"}</p>
+</li><li id="mrs_01_0368__li145519255441">Delete user data from the user information table.<p id="mrs_01_0368__p7551132512449"><a name="mrs_01_0368__li145519255441"></a><a name="li145519255441"></a>All user data needs to be deleted. For example, to delete data of user 12005000201, run the following command:</p>
+<p id="mrs_01_0368__p755192517441"><b><span class="cmdname" id="mrs_01_0368__cmdname61611240155412">delete</span></b>'<i><span class="varname" id="mrs_01_0368__varname4551425114417">user_info</span></i>','<i><span class="varname" id="mrs_01_0368__varname10551112512443">12005000201</span></i>','i'</p>
+</li><li id="mrs_01_0368__li185511625134412">Delete the user information table.<p id="mrs_01_0368__p1950760201710"><a name="mrs_01_0368__li185511625134412"></a><a name="li185511625134412"></a><b><span class="cmdname" id="mrs_01_0368__cmdname050718010177">disable</span></b>'<i><span class="varname" id="mrs_01_0368__varname1050713014178">user_info</span></i>'</p>
+<p id="mrs_01_0368__p11551325174419"><b><span class="cmdname" id="mrs_01_0368__cmdname7221114875416">drop</span></b> '<i><span class="varname" id="mrs_01_0368__varname2551152520443">user_info</span></i>'</p>
+</li></ol>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0500.html">Using HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0369.html b/docs/mrs/component-operation-guide/mrs_01_0369.html
new file mode 100644
index 000000000..60e9a6ce6
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+++ b/docs/mrs/component-operation-guide/mrs_01_0369.html
@@ -0,0 +1,23 @@
+<a name="mrs_01_0369"></a><a name="mrs_01_0369"></a>
+
+<h1 class="topictitle1">Using Hue (Versions Earlier Than MRS 3.x)</h1>
+<div id="body1589421624351"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1020.html">Using Hue from Scratch</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0370.html">Accessing the Hue Web UI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1021.html">Hue Common Parameters</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0371.html">Using HiveQL Editor on the Hue Web UI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0372.html">Using the Metadata Browser on the Hue Web UI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0373.html">Using File Browser on the Hue Web UI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0374.html">Using Job Browser on the Hue Web UI</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0370.html b/docs/mrs/component-operation-guide/mrs_01_0370.html
new file mode 100644
index 000000000..bcb1f43ca
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0370.html
@@ -0,0 +1,30 @@
+<a name="mrs_01_0370"></a><a name="mrs_01_0370"></a>
+
+<h1 class="topictitle1">Accessing the Hue Web UI</h1>
+<div id="body1589421624356"><div class="section" id="mrs_01_0370__sf9c6b6827b7145b081eff31b193282f3"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0370__p1476113815193">After Hue is installed in an MRS cluster, users can use Hadoop and Hive on the Hue web UI.</p>
+<p id="mrs_01_0370__p18497646204210">For versions earlier than MRS 1.9.2, MRS clusters with Kerberos authentication enabled support this function.</p>
+<p id="mrs_01_0370__a8b75505cc4bb41ccbc44feeac454dd22">This section describes how to open the Hue web UI on the MRS cluster.</p>
+<div class="note" id="mrs_01_0370__n9a9623a1d07245bf96f019e55b76958c"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0370__p187461153174110">To access the Hue web UI, you are advised to use a browser that is compatible with the Hue WebUI, for example, Google Chrome 50. The Internet Explorer may be incompatible with the Hue web UI. </p>
+<p id="mrs_01_0370__p370563510233">For versions earlier than MRS 1.9.2, the Kerberos authentication is disabled for an MRS cluster, access the Hue web UI by referring to <a href="https://docs.otc.t-systems.com/usermanual/mrs/mrs_01_0362.html" target="_blank" rel="noopener noreferrer">Web UIs of Open Source Components</a>.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0370__s061d5c51119b4146b96b91a0495a5042"><h4 class="sectiontitle">Impact on the System</h4><p id="mrs_01_0370__aea4879b8bd36469792d5968c82656a54">Site trust must be added to the browser when you access Manager and Hue web UI for the first time. Otherwise, the Hue web UI cannot be accessed.</p>
+</div>
+<div class="section" id="mrs_01_0370__sbffe2dde8108458fa04cafc49371a793"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_0370__aa17a01c53c86450fb84ea031ebf787a0">When Kerberos authentication is enabled, the MRS cluster administrator has assigned the permission for using Hive to the user. For details, see <a href="https://docs.otc.t-systems.com/usermanual/mrs/mrs_01_0345.html" target="_blank" rel="noopener noreferrer">Creating a User</a>. For example, create a human-machine user named <span class="parmname" id="mrs_01_0370__parmname70678761062"><b>hueuser</b></span>, add the user to user groups <span class="parmname" id="mrs_01_0370__parmname1022471610628"><b>hive</b></span> (the primary group), <span class="parmname" id="mrs_01_0370__parmname72121032195920"><b>hadoop</b></span>, and <span class="parmname" id="mrs_01_0370__parmname4182955185920"><b>supergroup</b></span>, and role <span class="parmname" id="mrs_01_0370__parmname1113327910648"><b>System_administrator</b></span>.</p>
+<p id="mrs_01_0370__p762710300410">This user is used to log in to the Hue WebUI.</p>
+</div>
+<div class="section" id="mrs_01_0370__s03aabc6eef834965add62eb571753d1d"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0370__o7d774762b9d54bea99a7f2a2e2cc825c"><li id="mrs_01_0370__li13806122116487"><span>Log in to the service page.</span><p><ul id="mrs_01_0370__ul1692910323486"><li id="mrs_01_0370__li792916322486">For versions earlier than MRS 1.9.2, log in to MRS Manager and choose <strong id="mrs_01_0370__b164781281897">Services</strong>.</li><li id="mrs_01_0370__li979413816488">For MRS 1.9.2 or later, click the cluster name on the MRS console and choose <strong id="mrs_01_0370__b998863012912">Components</strong>.</li></ul>
+</p></li><li id="mrs_01_0370__le46c25d15b43451995993a826e4450f3"><span>Select <span class="menucascade" id="mrs_01_0370__m7a6c193b9a70413ba07b97394d0b8302"><b><span class="uicontrol" id="mrs_01_0370__uicontrol2509583310828">Hue</span></b></span>. On the right side of <span class="parmname" id="mrs_01_0370__p240f342d25624908b5c4740fb5dee8ca"><b>Hue WebUI</b></span>, click the link to log in to the Hue web UI as user <span class="parmname" id="mrs_01_0370__parmname1244203813314"><b>hueuser</b></span>.</span><p><p id="mrs_01_0370__a6e6f8d340c0843ba9a4358a348bed145">Hue WebUI provides the following functions: </p>
+<ul id="mrs_01_0370__ub8a6bff9cccb410198dbae71891f203b"><li id="mrs_01_0370__led3cd4e6e9614e28a5b0cf2d7288b472">If Hive is installed in the MRS cluster, you can use <span class="parmname" id="mrs_01_0370__pe7f51847383f4283a10ea17a4d199ff1"><b>Query Editors</b></span> to execute query statements of Hive. Hive has been installed in the MRS cluster.</li><li id="mrs_01_0370__l2b1c1bf077a7496097659b1607ccf51c">If Hive is installed in the MRS cluster, you can use <span class="parmname" id="mrs_01_0370__p71497a4fbd414367ae4ee31e0c762ee6"><b>Data Browsers</b></span> to manage Hive tables.</li><li id="mrs_01_0370__l00ee4f478ccd4157b9fac1e98c77682f">If HDFS is installed in the MRS cluster, you can use <span><img id="mrs_01_0370__image18731341145115" src="en-us_image_0000001349289509.png"></span> to view directories and files in HDFS.</li><li id="mrs_01_0370__l964cb94b1a734ba4994ed59a55cb16cd">If Yarn is installed in the MRS cluster, you can use <span><img id="mrs_01_0370__image3308144810521" src="en-us_image_0000001349169933.png"></span> to view all jobs in the MRS cluster.</li></ul>
+<div class="note" id="mrs_01_0370__n8c6a7fdfc3f8429699775f81391711e3"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0370__u3b23c85f608d4895b353c3feb1a821d5"><li id="mrs_01_0370__li114815483390">When you log in to the Hue web UI as user <strong id="mrs_01_0370__b1135165232617">hueuser</strong> for the first time, you need to change the password.</li><li id="mrs_01_0370__le1765bb475c8459b8df87a63b4dabcd0">After obtaining the URL for accessing the Hue web UI, you can give the URL to other users who cannot access MRS Manager for accessing the Hue web UI. </li><li id="mrs_01_0370__l975aee584d3b49f1acf6d12938c06801">If you perform operations on the Hue WebUI only but not on Manager, you must enter the password of the current login user when accessing Manager again. </li></ul>
+</div></div>
+</p></li></ol>
+<p id="mrs_01_0370__p15592642152620"></p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0369.html">Using Hue (Versions Earlier Than MRS 3.x)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0371.html b/docs/mrs/component-operation-guide/mrs_01_0371.html
new file mode 100644
index 000000000..51cfb3f50
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0371.html
@@ -0,0 +1,40 @@
+<a name="mrs_01_0371"></a><a name="mrs_01_0371"></a>
+
+<h1 class="topictitle1">Using HiveQL Editor on the Hue Web UI</h1>
+<div id="body1589421627360"><div class="section" id="mrs_01_0371__s9f93d0a70cdc4575b48c96902a562dfe"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0371__p28208574198">Users can use the Hue web UI to execute HiveQL statements in a cluster.</p>
+<p id="mrs_01_0371__p18497646204210">For versions earlier than MRS 1.9.2, MRS clusters with Kerberos authentication enabled support this function.</p>
+</div>
+<div class="section" id="mrs_01_0371__section26788191145057"><h4 class="sectiontitle">Accessing Query Editors</h4><ol id="mrs_01_0371__ol44107557145123"><li id="mrs_01_0371__li849515575276"><span>Access the Hue web UI. For details, see <a href="mrs_01_0370.html">Accessing the Hue Web UI</a>.</span></li><li id="mrs_01_0371__li32181645145123"><span>Choose <span class="menucascade" id="mrs_01_0371__menucascade60776632145123"><b><span class="uicontrol" id="mrs_01_0371__uicontrol59574147145123">Query Editors</span></b> &gt; <b><span class="uicontrol" id="mrs_01_0371__uicontrol66405282145123">Hive</span></b></span>. The <span class="wintitle" id="mrs_01_0371__wintitle888746185010"><b>Hive</b></span> page is displayed.</span><p><p id="mrs_01_0371__p18668164145123"><span class="uicontrol" id="mrs_01_0371__uicontrol695715155014"><b>Hive</b></span> supports the following functions:</p>
+<ul id="mrs_01_0371__ul25945359145123"><li id="mrs_01_0371__li8151932145123">Executes and manages HiveQL statements.</li><li id="mrs_01_0371__li58461858145123">View the HiveQL statements saved by the current user in <span class="uicontrol" id="mrs_01_0371__uicontrol6918175235215"><b>Saved Queries</b></span>.</li><li id="mrs_01_0371__li40165519145123">Query HiveQL statements executed by the current user in <span class="uicontrol" id="mrs_01_0371__uicontrol2600182018533"><b>Query History</b></span>.</li><li id="mrs_01_0371__li64553163145123">Click <span><img id="mrs_01_0371__image87893025517" src="en-us_image_0000001349289717.jpg"></span> to display all databases included in <span class="uicontrol" id="mrs_01_0371__uicontrol143345315556"><b>Databases</b></span> of Hive.</li></ul>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0371__section5938223214523"><h4 class="sectiontitle">Executing HiveQL Statements</h4><ol id="mrs_01_0371__ol59674238145244"><li id="mrs_01_0371__li36882002145244"><span>Choose <span class="menucascade" id="mrs_01_0371__menucascade202714655118"><b><span class="uicontrol" id="mrs_01_0371__uicontrol12715618517">Query Editors &gt; Hive</span></b></span>. The <span class="wintitle" id="mrs_01_0371__wintitle439417128510"><b>Hive</b></span> page is displayed.</span></li><li id="mrs_01_0371__li55366463145244"><span>Click <span><img id="mrs_01_0371__image58062214596" src="en-us_image_0000001296090388.jpg"></span> and select a database from <span class="uicontrol" id="mrs_01_0371__uicontrol1427017463578"><b>Databases</b></span>. The default database is <span class="parmvalue" id="mrs_01_0371__parmvalue34652220145244"><b>default</b></span>.</span><p><p id="mrs_01_0371__p43434531145244">The system displays all available tables in the database. You can enter a keyword of the table name to search for the desired table.</p>
+</p></li><li id="mrs_01_0371__li29724435145244"><span>Click the desired table name. All columns in the table are displayed.</span><p><p id="mrs_01_0371__p55498498145244">Move the cursor to the row of the table and click <span><img id="mrs_01_0371__image64015734710" src="en-us_image_0000001295930560.jpg"></span>. Column details are displayed. </p>
+</p></li><li id="mrs_01_0371__li62672328145244"><span>Enter the query statements in the area for editing HiveQL statements.</span><p><p id="mrs_01_0371__p51702834145244">Click <span><img id="mrs_01_0371__image1461310445470" src="en-us_image_0000001295930564.jpg"></span> and select <span class="uicontrol" id="mrs_01_0371__uicontrol17682071808"><b>Explain</b></span>. The editor checks the syntax and execution plan of the entered statements. If the statements have syntax errors, the editor reports <span class="parmvalue" id="mrs_01_0371__parmvalue28114380145244"><b>Error while compiling statement</b></span>.</p>
+</p></li><li id="mrs_01_0371__li3950929145244"><span>Click <span><img id="mrs_01_0371__image18459851421" src="en-us_image_0000001348770417.png"></span> and select the engine for executing the HiveQL statements.</span><p><ul id="mrs_01_0371__ul45178234145244"><li id="mrs_01_0371__li20044420145244"><span class="parmvalue" id="mrs_01_0371__parmvalue17140238145244"><b>mr</b></span>: MapReduce computing framework</li><li id="mrs_01_0371__li49759046145244"><span class="parmvalue" id="mrs_01_0371__parmvalue12985323145244"><b>spark</b></span>: Spark computing framework</li><li id="mrs_01_0371__li64128224139"><span class="parmvalue" id="mrs_01_0371__parmvalue041572210131"><b>tez</b></span>: Tez computing framework<div class="note" id="mrs_01_0371__note19474938131314"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0371__p94913387133">Tez is applicable to MRS 1.9.<em id="mrs_01_0371__i4920164023114">x</em> and later versions.</p>
+</div></div>
+</li></ul>
+</p></li><li id="mrs_01_0371__li66282794145244"><span>Click <span><img id="mrs_01_0371__image152120534504" src="en-us_image_0000001349289713.jpg"></span> to execute the HiveQL statements.</span><p><div class="note" id="mrs_01_0371__note52103997145244"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0371__ul35615494145244"><li id="mrs_01_0371__li6209567145244">If you want to use the entered HiveQL statements again, click <span><img id="mrs_01_0371__image1945715562513" src="en-us_image_0000001349170129.jpg"></span> to save them.</li><li id="mrs_01_0371__li61972459145244">To format HiveQL statements, click <span><img id="mrs_01_0371__image13777122614524" src="en-us_image_0000001295930564.jpg"></span> and select <span class="uicontrol" id="mrs_01_0371__uicontrol976816241463"><b>Format</b></span>.</li><li id="mrs_01_0371__li34295104145244">To delete an entered HiveQL statement, click <span><img id="mrs_01_0371__image762853195215" src="en-us_image_0000001295930564.jpg"></span> and select <span class="wintitle" id="mrs_01_0371__wintitle74641167712"><b>Clear</b></span>.</li><li id="mrs_01_0371__li63843701145244">Clear the entered statement and execute a new statement. Click <span><img id="mrs_01_0371__image18685182025316" src="en-us_image_0000001295930564.jpg"></span> and select <span class="uicontrol" id="mrs_01_0371__uicontrol53489153814"><b>New query</b></span>.</li><li id="mrs_01_0371__li1580691217484">Viewing history:<p id="mrs_01_0371__p16806151215484"><a name="mrs_01_0371__li1580691217484"></a><a name="li1580691217484"></a>Click <span class="uicontrol" id="mrs_01_0371__uicontrol1766415111917"><b>Query History</b></span> to view the HiveQL running status. You can view the history of all the statements or only the saved statements. If many historical records exist, you can enter keywords in the text box to search for desired records.</p>
+</li><li id="mrs_01_0371__li674754114817">Advanced query configuration:<p id="mrs_01_0371__p574717411482"><a name="mrs_01_0371__li674754114817"></a><a name="li674754114817"></a>Click <span><img id="mrs_01_0371__image4747241154816" src="en-us_image_0000001349289709.png"></span> in the upper right corner to configure information such as files, functions, and settings.</p>
+</li><li id="mrs_01_0371__li1174704114814">Viewing the information of shortcut keys:<p id="mrs_01_0371__p374717418489"><a name="mrs_01_0371__li1174704114814"></a><a name="li1174704114814"></a>Click <span><img id="mrs_01_0371__image57471441144817" src="en-us_image_0000001349090229.png"></span> in the upper right corner to view all shortcut keys.</p>
+</li></ul>
+</div></div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0371__section3491749914539"><h4 class="sectiontitle">Viewing Execution Results</h4><ol id="mrs_01_0371__ol47679345145312"><li id="mrs_01_0371__li13016201145312"><span>In the <span class="wintitle" id="mrs_01_0371__wintitle4129142195112"><b>Hive</b></span> execution area, <span class="uicontrol" id="mrs_01_0371__uicontrol15565171717912"><b>Query History</b></span> is displayed by default.</span></li><li id="mrs_01_0371__li50036947145312"><span>Click <span class="uicontrol" id="mrs_01_0371__uicontrol37863318120"><b>Results</b></span> to view the execution result of the executed statement.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_0371__section53760602145325"><h4 class="sectiontitle">Managing Query Statements</h4><ol id="mrs_01_0371__ol61171655145335"><li id="mrs_01_0371__li31679683145335"><span>Choose <span class="uicontrol" id="mrs_01_0371__uicontrol46787358145335"><b>Query Editors &gt; Hive</b></span>. The <span class="wintitle" id="mrs_01_0371__wintitle144461633165119"><b>Hive</b></span> page is displayed.</span></li><li id="mrs_01_0371__li14253391145335"><span>Click <span class="uicontrol" id="mrs_01_0371__uicontrol842826141519"><b>Saved Queries</b></span>.</span><p><p id="mrs_01_0371__p17656764145338">Click a saved statement. The system automatically adds the statement to the editing area.</p>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0371__section62596142145356"><h4 class="sectiontitle">Modifying Query Editors Settings</h4><ol id="mrs_01_0371__ol5177964214543"><li id="mrs_01_0371__li1502120814543"><span>On the <span class="wintitle" id="mrs_01_0371__wintitle678217389514"><b>Hive</b></span> tab page, click <span><img id="mrs_01_0371__image1931015286554" src="en-us_image_0000001349170133.jpg"></span>.</span></li><li id="mrs_01_0371__li2308899414543"><span>Click <span><img id="mrs_01_0371__image860765510554" src="en-us_image_0000001348770421.jpg"></span> on the right of <span class="filepath" id="mrs_01_0371__filepath5604123921611"><b>Files</b></span> and click <span><img id="mrs_01_0371__image44615161571" src="en-us_image_0000001349170125.jpg"></span> to specify the directory for storing the file.</span><p><p id="mrs_01_0371__p2493506514543">You can click <span><img id="mrs_01_0371__image68051841125715" src="en-us_image_0000001348770421.jpg"></span> to add a file resource.</p>
+</p></li><li id="mrs_01_0371__li6062811414543"><span>Click <span><img id="mrs_01_0371__image2056171385812" src="en-us_image_0000001348770421.jpg"></span> on the right of <span class="uicontrol" id="mrs_01_0371__uicontrol206879153173"><b>Functions</b></span> and enter the names of user-defined function and function class.</span><p><p class="litext" id="mrs_01_0371__p6638878014543">You can click <span><img id="mrs_01_0371__image9504139185810" src="en-us_image_0000001348770421.jpg"></span> to add a customized function.</p>
+</p></li><li id="mrs_01_0371__li6540561714543"><span>Click <span><img id="mrs_01_0371__image22716685912" src="en-us_image_0000001348770421.jpg"></span> on the right of <span class="uicontrol" id="mrs_01_0371__uicontrol469933612176"><b>Settings</b></span>, enter the Hive parameter name in the <span class="uicontrol" id="mrs_01_0371__uicontrol47081547185"><b>Key</b></span>, and value in <span class="uicontrol" id="mrs_01_0371__uicontrol4944182311818"><b>Value</b></span>. The current Hive session connects to Hive based on the customized configuration.</span><p><p id="mrs_01_0371__p726729014543">You can click <span><img id="mrs_01_0371__image13973133465917" src="en-us_image_0000001348770421.jpg"></span> to add a parameter.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0369.html">Using Hue (Versions Earlier Than MRS 3.x)</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_0372"></a><a name="mrs_01_0372"></a>
+
+<h1 class="topictitle1">Using the Metadata Browser on the Hue Web UI</h1>
+<div id="body1589421629062"><div class="section" id="mrs_01_0372__s005f823b53fb448aa190d542f069040f"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0372__p113531582010">Users can use the Hue web UI to manage Hive metadata in an MRS cluster.</p>
+<p id="mrs_01_0372__p18497646204210">For versions earlier than MRS 1.9.2, MRS clusters with Kerberos authentication enabled support this function.</p>
+</div>
+<div class="section" id="mrs_01_0372__sd71c303869ac441398c55ef7b5ccf200"><h4 class="sectiontitle">Using Metastore Manager</h4><p id="mrs_01_0372__p1295134953817">Access the Hue web UI. For details, see <a href="mrs_01_0370.html">Accessing the Hue Web UI</a>.</p>
+<p id="mrs_01_0372__p18607140143212">Choose <strong id="mrs_01_0372__b12639141193718">Data Browsers</strong> &gt; <strong id="mrs_01_0372__b113684493710">Metastore Tables</strong>, and access <span class="wintitle" id="mrs_01_0372__wintitle752610547221"><b>Metastore Manager</b></span>.</p>
+<ul id="mrs_01_0372__u6e49bf15e77b46d8b6e6280902d75119"><li id="mrs_01_0372__le04aa16f50d044ad9529de5c94b3d2b0">Viewing metadata of Hive tables<p id="mrs_01_0372__a64364b5dcfed448983d871e881eeb634"><a name="mrs_01_0372__le04aa16f50d044ad9529de5c94b3d2b0"></a><a name="le04aa16f50d044ad9529de5c94b3d2b0"></a>In the left navigation pane, move the cursor to a table and click <span><img id="mrs_01_0372__i9b4027dac080433c8a596cb7f830ccf4" src="en-us_image_0000001295930292.png"></span> on the right. The metadata of the Hive table is displayed.</p>
+</li><li id="mrs_01_0372__l382b3c11a3354a369f9e9292d0d45d00">Managing metadata of Hive tables<p id="mrs_01_0372__ae897276f6167445c8850d8d0272dab93"><a name="mrs_01_0372__l382b3c11a3354a369f9e9292d0d45d00"></a><a name="l382b3c11a3354a369f9e9292d0d45d00"></a>On the metadata page of a Hive table, you can click <span><img id="mrs_01_0372__i39da232baccf437488ed894a68ad767a" src="en-us_image_0000001295770328.png"></span> in the upper right corner to import data, click <span><img id="mrs_01_0372__i177bfa39398e43a7bd7f70b9de4cf142" src="en-us_image_0000001349169853.png"></span> to browse data, and click <span><img id="mrs_01_0372__i37959c57bcaa454ab19fd4281f1bd79f" src="en-us_image_0000001349289433.png"></span> to view the location of the table file.</p>
+<div class="caution" id="mrs_01_0372__note2228538205219"><span class="cautiontitle"><img src="public_sys-resources/caution_3.0-en-us.png"> </span><div class="cautionbody"><p id="mrs_01_0372__p02781117181714">The Hue page is used to view and analyze data such as files and tables. Do not perform high-risk management operations such as deleting objects on the page. If an operation is required, you are advised to perform the operation on each component after confirming that the operation has no impact on services. For example, you can use the HDFS client to perform operations on HDFS files and use the Hive client to perform operations on Hive tables.</p>
+</div></div>
+</li><li id="mrs_01_0372__lace0c3ea8a674b31a306d25ee0a5dac6">Managing Hive metadata tables<p id="mrs_01_0372__a9670c1752c67416fa36f4ae1ef20bfcf"><a name="mrs_01_0372__lace0c3ea8a674b31a306d25ee0a5dac6"></a><a name="lace0c3ea8a674b31a306d25ee0a5dac6"></a>Click <span><img id="mrs_01_0372__image685114610205" src="en-us_image_0000001349169861.png"></span> in the upper right corner to create a table in the database based on the uploaded files. Or click <span><img id="mrs_01_0372__image08529469208" src="en-us_image_0000001295770332.png"></span> in the upper right corner to manually create a table.</p>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_0372__section2565199014569"><h4 class="sectiontitle">Accessing Metastore Manager</h4><ol id="mrs_01_0372__ol1603633814582"><li id="mrs_01_0372__li4744865614582"><span>Access the Hue web UI. For details, see <a href="mrs_01_0370.html">Accessing the Hue Web UI</a>.</span></li><li id="mrs_01_0372__li5972161614582"><span>Choose <strong id="mrs_01_0372__b740412113388">Data Browsers</strong> &gt; <strong id="mrs_01_0372__b640501153813">Metastore Tables</strong>, and access <span class="wintitle" id="mrs_01_0372__wintitle5405181113816"><b>Metastore Manager</b></span>.</span><p><p id="mrs_01_0372__p6140156714588"><span class="wintitle" id="mrs_01_0372__wintitle62051717182215"><b>Metastore Manager</b></span> supports the following functions:</p>
+<ul id="mrs_01_0372__ul1578427145813"><li id="mrs_01_0372__li11633199145813">Creating a Hive table from a file</li><li id="mrs_01_0372__li22644589145813">Manually creating a Hive table</li><li id="mrs_01_0372__li63357319145813">Viewing Hive table metadata</li></ul>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0372__section46959017145822"><h4 class="sectiontitle">Creating a Hive table from a File</h4><ol id="mrs_01_0372__ol33343268145839"><li id="mrs_01_0372__li52913031145839"><span>Access <span class="wintitle" id="mrs_01_0372__wintitle159661118152315"><b>Metastore Manager</b></span> and select a database in <span class="parmname" id="mrs_01_0372__parmname43161927145839"><b>Databases</b></span>.</span><p><p id="mrs_01_0372__p11415356145857">The default database is <span class="parmvalue" id="mrs_01_0372__parmvalue6455235145839"><b>default</b></span>.</p>
+</p></li><li id="mrs_01_0372__li27507478145839"><span>Click <span><img id="mrs_01_0372__image1451314581701" src="en-us_image_0000001349289429.jpg"></span>. The <span class="wintitle" id="mrs_01_0372__wintitle11110151502515"><b>Create a new table from a file</b></span> page is displayed.</span></li><li id="mrs_01_0372__li6175625145839"><span>Select a file.</span><p><ol type="a" id="mrs_01_0372__ol30512342145839"><li id="mrs_01_0372__li54510264145839">In <span class="parmname" id="mrs_01_0372__parmname7427191122615"><b>Table Name</b></span>, enter a Hive table name.<p id="mrs_01_0372__p13513236145839">A Hive table name contains no more than 128 characters, including letters, numbers, or underscores (_), and must start with a letter or number. </p>
+</li><li id="mrs_01_0372__li53255288145839">In <span class="parmname" id="mrs_01_0372__parmname12323104020265"><b>Description</b></span>, enter description about the Hive table as required.</li><li id="mrs_01_0372__li21343403145839">In <span class="parmname" id="mrs_01_0372__parmname1080657202713"><b>Input File or Location</b></span>, click <span><img id="mrs_01_0372__image32631549102213" src="en-us_image_0000001349169857.jpg"></span> and select a Hive table file from HDFS. The file is used to store new data of the Hive table.<p id="mrs_01_0372__p17284570145839">If the file is not stored in HDFS, click <span class="uicontrol" id="mrs_01_0372__uicontrol7360910283"><b>Upload a file</b></span> to upload the file from the local directory to HDFS. Multiple files can be simultaneously uploaded. The files cannot be empty.</p>
+</li><li id="mrs_01_0372__li19465682145839">If you need to import the data in the file to the Hive table, select <span class="parmvalue" id="mrs_01_0372__parmvalue93751232122912"><b>Import data</b></span> as <span class="parmname" id="mrs_01_0372__parmname7308953132912"><b>Load method</b></span>. By default, <span class="parmvalue" id="mrs_01_0372__parmvalue358311243019"><b>Import data</b></span> is selected.<p id="mrs_01_0372__p231823711663">If you select <span class="parmvalue" id="mrs_01_0372__parmvalue18261114710304"><b>Create External Table</b></span>, a Hive external table is created.</p>
+<div class="note" id="mrs_01_0372__note3201372716710"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0372__p1968809116710">If you select <span class="parmvalue" id="mrs_01_0372__parmvalue18438458173015"><b>Create External Table</b></span>, set <span class="parmname" id="mrs_01_0372__parmname1339262363119"><b>Input File or Location</b></span> to a path.</p>
+</div></div>
+<p id="mrs_01_0372__p2162853145839">If you select <span class="parmvalue" id="mrs_01_0372__parmvalue2054611497316"><b>Leave Empty</b></span>, an empty Hive table is created.</p>
+</li><li id="mrs_01_0372__li33216422145839">Click <span class="uicontrol" id="mrs_01_0372__uicontrol712255133314"><b>Next</b></span>.</li></ol>
+</p></li><li id="mrs_01_0372__li10043372145839"><span>Set a delimiter.</span><p><ol type="a" id="mrs_01_0372__ol16029011145839"><li id="mrs_01_0372__li51636899145839">In <span class="uicontrol" id="mrs_01_0372__uicontrol4430012123512"><b>Delimiter</b></span>, select one.<p id="mrs_01_0372__p5737433145839">If your desired delimiter is not in the list, select <span class="parmvalue" id="mrs_01_0372__parmvalue30463654145839"><b>Other..</b></span> and enter a delimiter.</p>
+</li><li id="mrs_01_0372__li21839272145839">Click <span class="uicontrol" id="mrs_01_0372__uicontrol1043916653619"><b>Preview</b></span> to preview data processing.</li><li id="mrs_01_0372__li24150622145839">Click <span class="uicontrol" id="mrs_01_0372__uicontrol29681915113617"><b>Next</b></span>.</li></ol>
+</p></li><li id="mrs_01_0372__li49479839145839"><span>Define a column. </span><p><ol type="a" id="mrs_01_0372__ol27867381145839"><li id="mrs_01_0372__li6752731145839">If you click <span><img id="mrs_01_0372__image623111309264" src="en-us_image_0000001296249764.jpg"></span> on the right side of <span class="uicontrol" id="mrs_01_0372__uicontrol67185834110"><b>Use first row as column names</b></span>, the first row of data in the file is used as a column name. If you do not click it, the first row of data is not used as the column name.</li><li id="mrs_01_0372__li16240092145839">In <span class="uicontrol" id="mrs_01_0372__uicontrol15390104718433"><b>Column name</b></span>, set a name for each column.<p id="mrs_01_0372__p10100301145839">A Hive table name contains no more than 128 characters, including letters, numbers, or underscores (_), and must start with a letter or number. </p>
+<div class="note" id="mrs_01_0372__note31630616145839"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0372__p48253755145839">You can rename columns in batches by clicking <span><img id="mrs_01_0372__image196873201426" src="en-us_image_0000001348770157.jpg"></span> on the right side of <span class="uicontrol" id="mrs_01_0372__uicontrol1356919519468"><b>Bulk edit column names</b></span>. Enter all column names and separate them by commas (,).</p>
+</div></div>
+</li><li id="mrs_01_0372__li40379077145839">In <span class="uicontrol" id="mrs_01_0372__uicontrol1025343319475"><b>Column Type</b></span>, select a type for each column. </li></ol>
+</p></li><li id="mrs_01_0372__li48444050145839"><span>Click <span class="uicontrol" id="mrs_01_0372__uicontrol19133142664819"><b>Create Table</b></span> to create the table. Wait for Hue to display information about the Hive table.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_0372__section33909292145956"><h4 class="sectiontitle">Manually Creating a Hive Table</h4><ol id="mrs_01_0372__ol19533881509"><li id="mrs_01_0372__li502345971509"><span>Access <span class="wintitle" id="mrs_01_0372__wintitle2016392919589"><b>Metastore Manager</b></span> and select a database in <span class="uicontrol" id="mrs_01_0372__uicontrol351012605918"><b>Databases</b></span>.</span><p><p id="mrs_01_0372__p557745615034">The default database is <span class="parmvalue" id="mrs_01_0372__parmvalue494581971509"><b>default</b></span>.</p>
+</p></li><li id="mrs_01_0372__li636706081509"><span>Click <span><img id="mrs_01_0372__image1301871313" src="en-us_image_0000001295930296.jpg"></span>. The <span class="uicontrol" id="mrs_01_0372__uicontrol323816501818"><b>Create a new table manually</b></span> page is displayed.</span></li><li id="mrs_01_0372__li42359601509"><span>Set a table name.</span><p><ol type="a" id="mrs_01_0372__ol377533641509"><li id="mrs_01_0372__li436488471509">In <span class="parmname" id="mrs_01_0372__parmname1124042119513"><b>Table Name</b></span>, enter a Hive table name.<p id="mrs_01_0372__p570456551509">A Hive table name contains no more than 128 characters, including letters, numbers, or underscores (_), and must start with a letter or number. </p>
+</li><li id="mrs_01_0372__li458957031509">In <span class="parmname" id="mrs_01_0372__parmname544817489519"><b>Description</b></span>, enter description about the Hive table as required. </li><li id="mrs_01_0372__li265644391509">Click <span class="uicontrol" id="mrs_01_0372__uicontrol16812391268"><b>Next</b></span>.</li></ol>
+</p></li><li id="mrs_01_0372__li318382411509"><span>Select a data storage format.</span><p><ul id="mrs_01_0372__ul333637441509"><li id="mrs_01_0372__li10074731509">If data needs to be separated by delimiters, select <span class="parmvalue" id="mrs_01_0372__parmvalue45318131572"><b>Delimited</b></span> and perform <a href="#mrs_01_0372__li379246041509">5</a>.</li><li id="mrs_01_0372__li633594061509">If data needs to be stored in serialization format, select <span class="parmvalue" id="mrs_01_0372__parmvalue90672591509"><b>SerDe</b></span> and perform <a href="#mrs_01_0372__li119336551509">6</a>.</li></ul>
+</p></li><li id="mrs_01_0372__li379246041509"><a name="mrs_01_0372__li379246041509"></a><a name="li379246041509"></a><span>Set a delimiter.</span><p><ol type="a" id="mrs_01_0372__ol414965471509"><li id="mrs_01_0372__li479153681509">In <span class="parmname" id="mrs_01_0372__parmname456620389716"><b>Field terminator</b></span>, set a column delimiter. <p id="mrs_01_0372__p575197121509">If your desired delimiter is not in the list, select <span class="parmvalue" id="mrs_01_0372__parmvalue287607001509"><b>Other..</b></span> and enter a delimiter.</p>
+</li><li id="mrs_01_0372__li118601201509">In <span class="parmname" id="mrs_01_0372__parmname139417213816"><b>Collection terminator</b></span>, set a delimiter to separate the data set of columns of the <span class="parmvalue" id="mrs_01_0372__parmvalue559395961509"><b>array</b></span> type in Hive. For example, the type of a column is array. A value needs to store <span class="parmvalue" id="mrs_01_0372__parmvalue336943231509"><b>employee</b></span> and <span class="parmvalue" id="mrs_01_0372__parmvalue348134571509"><b>manager</b></span>. The user specifies a colon (<span class="parmvalue" id="mrs_01_0372__parmvalue448856631509"><b>:</b></span>) as the delimiter. Therefore, the final value is <span class="parmvalue" id="mrs_01_0372__parmvalue13177911509"><b>employee:manager</b></span>.</li><li id="mrs_01_0372__li520214651509">In <span class="parmname" id="mrs_01_0372__parmname668871414916"><b>Map key terminator</b></span>, set a delimiter to separate the data set of columns of the <span class="parmvalue" id="mrs_01_0372__parmvalue211456691509"><b>map</b></span> type in Hive. For example, the type of a column is map. A value needs to store <span class="parmvalue" id="mrs_01_0372__en-us_topic_0050240812_parmvalue80812455174651"><b>home</b></span> of <span class="parmvalue" id="mrs_01_0372__en-us_topic_0050240812_parmvalue41145818717476"><b>aaa</b></span> and <span class="parmvalue" id="mrs_01_0372__en-us_topic_0050240812_parmvalue1006837477174712"><b>company</b></span> of <span class="parmvalue" id="mrs_01_0372__en-us_topic_0050240812_parmvalue903832812174727"><b>bbb</b></span>. The user defines <span class="parmvalue" id="mrs_01_0372__en-us_topic_0050240812_parmvalue19069717017484"><b>|</b></span> as the delimiter. Therefore, the final value is <span class="parmvalue" id="mrs_01_0372__parmvalue281497841509"><b>home|aaa:company|bbb</b></span>.</li><li id="mrs_01_0372__li642630511509">Click <span class="uicontrol" id="mrs_01_0372__uicontrol46761245993"><b>Next</b></span> and perform <a href="#mrs_01_0372__li564987691509">7</a>.</li></ol>
+</p></li><li id="mrs_01_0372__li119336551509"><a name="mrs_01_0372__li119336551509"></a><a name="li119336551509"></a><span>Set serialization properties.</span><p><ol type="a" id="mrs_01_0372__ol162390421509"><li id="mrs_01_0372__li507707761509">In <span class="parmname" id="mrs_01_0372__parmname2051203212104"><b>SerDe Name</b></span>, enter the class name of the serialization format: <span class="parmvalue" id="mrs_01_0372__parmvalue519940781509"><b>org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe</b></span><p id="mrs_01_0372__p652935201509">Users can expand Hive to support more customized serialization classes.</p>
+</li><li id="mrs_01_0372__li349121761509">In <span class="parmname" id="mrs_01_0372__parmname542838061509"><b>Serde properties</b></span>, enter the value of the serialization format: <span class="parmvalue" id="mrs_01_0372__parmvalue187922111509"><b>"field.delim"="," "colelction.delim"=":" "mapkey.delim"="|"</b></span></li><li id="mrs_01_0372__li167174181509">Click <span class="uicontrol" id="mrs_01_0372__uicontrol560394891010"><b>Next</b></span> and perform <a href="#mrs_01_0372__li564987691509">7</a>.</li></ol>
+</p></li><li id="mrs_01_0372__li564987691509"><a name="mrs_01_0372__li564987691509"></a><a name="li564987691509"></a><span>Select a data table format and click <span class="uicontrol" id="mrs_01_0372__uicontrol402940341509"><b>Next</b></span>.</span><p><ul id="mrs_01_0372__ul659299641509"><li id="mrs_01_0372__li425913021509"><span class="parmname" id="mrs_01_0372__parmname271019881509"><b>TextFile</b></span>: indicates that data is stored in text files.</li><li id="mrs_01_0372__li273434311509"><span class="parmname" id="mrs_01_0372__parmname477774011509"><b>SequenceFile</b></span>: indicates that data is stored in binary files.</li><li id="mrs_01_0372__li446082531509"><span class="parmname" id="mrs_01_0372__parmname447642871509"><b>InputFormat</b></span>: indicates that data in files is used in the customized input and output formats.<div class="p" id="mrs_01_0372__p646087961509">Users can expand Hive to support more customized formatting classes.<ol type="a" id="mrs_01_0372__ol668310781509"><li id="mrs_01_0372__li182577411509">In <span class="parmname" id="mrs_01_0372__parmname2254041509"><b>InputFormat Class</b></span>, enter the class used by input data: <span class="parmvalue" id="mrs_01_0372__parmvalue20286371509"><b>org.apache.hadoop.hive.ql.io.RCFileInputFormat</b></span></li><li id="mrs_01_0372__li223387561509">In <span class="parmname" id="mrs_01_0372__parmname301019481509"><b>OutputFormat Class</b></span>, enter the class used by output data: <span class="parmvalue" id="mrs_01_0372__parmvalue24820841509"><b>org.apache.hadoop.hive.ql.io.RCFileOutputFormat</b></span></li></ol>
+</div>
+</li></ul>
+</p></li><li id="mrs_01_0372__li129975771509"><span>Select a file storage location and click <span class="uicontrol" id="mrs_01_0372__uicontrol19315123219128"><b>Next</b></span>.</span><p><p id="mrs_01_0372__p5178341415057"><span class="parmvalue" id="mrs_01_0372__parmvalue2076618152135"><b>Use default location</b></span> is selected by default. If you want to customize a storage location, deselect the default value and specify a file storage location in <span class="parmname" id="mrs_01_0372__parmname461708301509"><b>External location</b></span> by clicking <span><img id="mrs_01_0372__image10371155216148" src="en-us_image_0000001349289425.jpg"></span>. </p>
+</p></li><li id="mrs_01_0372__li173092171509"><span>Set columns of the Hive table.</span><p><ol type="a" id="mrs_01_0372__ol466624891509"><li id="mrs_01_0372__li369944351509">In <span class="parmname" id="mrs_01_0372__parmname11158132811154"><b>Column name</b></span>, set a column name.<p id="mrs_01_0372__p488497351509">A Hive table name contains no more than 128 characters, including letters, numbers, or underscores (_), and must start with a letter or number. </p>
+</li><li id="mrs_01_0372__li548373611509">In <span class="parmname" id="mrs_01_0372__parmname74162503151"><b>Column type</b></span>, select a type for each column.<p id="mrs_01_0372__p582888231509">Click <span class="uicontrol" id="mrs_01_0372__uicontrol78554814160"><b>Add a column</b></span> to add a new column. </p>
+</li><li id="mrs_01_0372__li126412611509">Click <span class="uicontrol" id="mrs_01_0372__uicontrol982892681616"><b>Add a partition</b></span> to add a new partition for the Hive table to improve the query efficiency.</li></ol>
+</p></li><li id="mrs_01_0372__li598693661509"><span>Click <span class="uicontrol" id="mrs_01_0372__uicontrol1659884611611"><b>Create Table</b></span> to create a new table. Wait for Hue to display information about the Hive table.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_0372__section1010060115237"><h4 class="sectiontitle">Managing the Hive Table</h4><ol id="mrs_01_0372__ol3900545415244"><li id="mrs_01_0372__li5498443515244"><span>Access <span class="wintitle" id="mrs_01_0372__wintitle976891181716"><b>Metastore Manager</b></span> and select a database in <span class="uicontrol" id="mrs_01_0372__uicontrol12396123421716"><b>Databases</b></span>. All tables in the database are displayed on the page.</span><p><p id="mrs_01_0372__p2719071315247">The default database is <span class="parmvalue" id="mrs_01_0372__parmvalue2509786815244"><b>default</b></span>.</p>
+</p></li><li id="mrs_01_0372__li4907318215244"><span>Click a table name in the database to view table details.</span><p><p id="mrs_01_0372__p2455422615244">The following operations are supported: importing data, browsing data,, or viewing file storage location. When viewing all tables in the database, you can select tables and perform the following operations such as viewing tables and browsing data.</p>
+<div class="caution" id="mrs_01_0372__note4273527815244"><span class="cautiontitle"><img src="public_sys-resources/caution_3.0-en-us.png"> </span><div class="cautionbody"><p id="mrs_01_0372__en-us_topic_0264266662_p02781117181714">The Hue page is used to view and analyze data such as files and tables. Do not perform high-risk management operations such as deleting objects on the page. If an operation is required, you are advised to perform the operation on each component after confirming that the operation has no impact on services. For example, you can use the HDFS client to perform operations on HDFS files and use the Hive client to perform operations on Hive tables.</p>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0369.html">Using Hue (Versions Earlier Than MRS 3.x)</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_0373"></a><a name="mrs_01_0373"></a>
+
+<h1 class="topictitle1">Using File Browser on the Hue Web UI</h1>
+<div id="body1589421629525"><div class="section" id="mrs_01_0373__s8e39a2a37ddf4c6ea949563aa39df031"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0373__p1455110329204">Users can use the Hue web UI to manage files in HDFS in a cluster.</p>
+<p id="mrs_01_0373__p18497646204210">For versions earlier than MRS 1.9.2, MRS clusters with Kerberos authentication enabled support this function.</p>
+<div class="caution" id="mrs_01_0373__note136141816131917"><span class="cautiontitle"><img src="public_sys-resources/caution_3.0-en-us.png"> </span><div class="cautionbody"><p id="mrs_01_0373__en-us_topic_0264266662_p02781117181714">The Hue page is used to view and analyze data such as files and tables. Do not perform high-risk management operations such as deleting objects on the page. If an operation is required, you are advised to perform the operation on each component after confirming that the operation has no impact on services. For example, you can use the HDFS client to perform operations on HDFS files and use the Hive client to perform operations on Hive tables.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0373__section66894515326"><h4 class="sectiontitle">File Browser (File Browser)</h4><ol id="mrs_01_0373__ol5724487415333"><li id="mrs_01_0373__li11808133617276"><span>Access the Hue web UI. For details, see <a href="mrs_01_0370.html">Accessing the Hue Web UI</a>.</span></li><li id="mrs_01_0373__li2662927115333"><span>Click <span><img id="mrs_01_0373__image24161730102919" src="en-us_image_0000001349289521.png"></span>. The <span class="wintitle" id="mrs_01_0373__wintitle49811732122112"><b>File Browser</b></span> page is displayed.</span><p><p id="mrs_01_0373__p32081334152218">You can view the home directory of the current login user. </p>
+<p id="mrs_01_0373__p6218674415333">On the <strong id="mrs_01_0373__b54715401118">File Browser</strong> page, the following information about subdirectories for files in the directory is displayed.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0373__table4344895415333" frame="border" border="1" rules="all"><caption><b>Table 1 </b>HDFS file attributes </caption><thead align="left"><tr id="mrs_01_0373__row4324098615333"><th align="left" class="cellrowborder" valign="top" width="30.259999999999998%" id="mcps1.3.2.2.2.2.3.2.3.1.1"><p id="mrs_01_0373__p5244785615333">Attribute</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="69.74000000000001%" id="mcps1.3.2.2.2.2.3.2.3.1.2"><p id="mrs_01_0373__p2041794715333">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0373__row3939615315333"><td class="cellrowborder" valign="top" width="30.259999999999998%" headers="mcps1.3.2.2.2.2.3.2.3.1.1 "><p id="mrs_01_0373__p1954517815234"><span class="parmname" id="mrs_01_0373__parmname83911715181610"><b>Name</b></span></p>
+</td>
+<td class="cellrowborder" valign="top" width="69.74000000000001%" headers="mcps1.3.2.2.2.2.3.2.3.1.2 "><p id="mrs_01_0373__p4605411915333">Name of a directory or file</p>
+</td>
+</tr>
+<tr id="mrs_01_0373__row4062230615333"><td class="cellrowborder" valign="top" width="30.259999999999998%" headers="mcps1.3.2.2.2.2.3.2.3.1.1 "><p id="mrs_01_0373__p3159815152314"><span class="parmname" id="mrs_01_0373__parmname162943184166"><b>Size</b></span></p>
+</td>
+<td class="cellrowborder" valign="top" width="69.74000000000001%" headers="mcps1.3.2.2.2.2.3.2.3.1.2 "><p id="mrs_01_0373__p4192673415333">File size</p>
+</td>
+</tr>
+<tr id="mrs_01_0373__row4137987115333"><td class="cellrowborder" valign="top" width="30.259999999999998%" headers="mcps1.3.2.2.2.2.3.2.3.1.1 "><p id="mrs_01_0373__p7762625142313"><span class="parmname" id="mrs_01_0373__parmname6868820131616"><b>User</b></span></p>
+</td>
+<td class="cellrowborder" valign="top" width="69.74000000000001%" headers="mcps1.3.2.2.2.2.3.2.3.1.2 "><p id="mrs_01_0373__p3365104215333">Owner of a directory or file</p>
+</td>
+</tr>
+<tr id="mrs_01_0373__row5652215215333"><td class="cellrowborder" valign="top" width="30.259999999999998%" headers="mcps1.3.2.2.2.2.3.2.3.1.1 "><p id="mrs_01_0373__p1922761222417"><span class="parmname" id="mrs_01_0373__parmname736014235164"><b>Group</b></span></p>
+</td>
+<td class="cellrowborder" valign="top" width="69.74000000000001%" headers="mcps1.3.2.2.2.2.3.2.3.1.2 "><p id="mrs_01_0373__p3798050615333">Group of a directory or file</p>
+</td>
+</tr>
+<tr id="mrs_01_0373__row6065221515333"><td class="cellrowborder" valign="top" width="30.259999999999998%" headers="mcps1.3.2.2.2.2.3.2.3.1.1 "><p id="mrs_01_0373__p1507132114247"><span class="parmname" id="mrs_01_0373__parmname19285192751617"><b>Permissions</b></span></p>
+</td>
+<td class="cellrowborder" valign="top" width="69.74000000000001%" headers="mcps1.3.2.2.2.2.3.2.3.1.2 "><p id="mrs_01_0373__p6537214315333">Permission of a directory or file</p>
+</td>
+</tr>
+<tr id="mrs_01_0373__row1543296115333"><td class="cellrowborder" valign="top" width="30.259999999999998%" headers="mcps1.3.2.2.2.2.3.2.3.1.1 "><p id="mrs_01_0373__p897143016248"><span class="parmname" id="mrs_01_0373__parmname784517296165"><b>Date</b></span></p>
+</td>
+<td class="cellrowborder" valign="top" width="69.74000000000001%" headers="mcps1.3.2.2.2.2.3.2.3.1.2 "><p id="mrs_01_0373__p5072930415333">Time when a directory or file is created</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_0373__li2970438415333"><span>In the search box, enter a keyword. The system automatically searches directories or files in the current directory.</span></li><li id="mrs_01_0373__li6601286515333"><span>Clear the search criteria. The system displays all directories or files.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_0373__section62998231540"><h4 class="sectiontitle">Performing Actions</h4><ol id="mrs_01_0373__ol5608629915410"><li id="mrs_01_0373__li4979981915410"><span>Click <span><img id="mrs_01_0373__image1781973192715" src="en-us_image_0000001349289525.png"></span> and select one or more directories or files.</span></li><li id="mrs_01_0373__li5097105315410"><span>Click <span class="uicontrol" id="mrs_01_0373__uicontrol683611195256"><b>Actions</b></span>. On the menu that is displayed, select an operation.</span><p><ul id="mrs_01_0373__ul2803307115410"><li id="mrs_01_0373__li6528165115410"><span class="uicontrol" id="mrs_01_0373__uicontrol163293982616"><b>Rename</b></span>: renames a directory or file.</li><li id="mrs_01_0373__li2414801915410"><span class="uicontrol" id="mrs_01_0373__uicontrol8992957162617"><b>Move</b></span>: moves a file. In <span class="wintitle" id="mrs_01_0373__wintitle17024271228"><b>Move to</b></span>, select a new directory and click <span class="uicontrol" id="mrs_01_0373__uicontrol1013965315410"><b>Move</b></span>.</li><li id="mrs_01_0373__li983249915410"><span class="uicontrol" id="mrs_01_0373__uicontrol79782982717"><b>Copy</b></span>: copies the selected files or directories.</li><li id="mrs_01_0373__li5313091815410"><span class="uicontrol" id="mrs_01_0373__uicontrol636271716284"><b>Change permissions</b></span>: changes permission to access the selected directory or file.<ul id="mrs_01_0373__ul3572959715410"><li id="mrs_01_0373__li4048708515410">You can grant the owner, the group, or other users with the <span class="parmvalue" id="mrs_01_0373__parmvalue1380322182919"><b>Read</b></span>, <span class="parmvalue" id="mrs_01_0373__parmvalue133170355299"><b>Write</b></span>, and <span class="parmvalue" id="mrs_01_0373__parmvalue56951651202920"><b>Execute</b></span> permissions. </li><li id="mrs_01_0373__li5822843815410"><span class="parmvalue" id="mrs_01_0373__parmvalue1278610168300"><b>Sticky</b></span>: indicates that only HDFS administrators, directory owners, and file owners can move files in the directory.</li><li id="mrs_01_0373__li1888303615410"><span class="parmvalue" id="mrs_01_0373__parmvalue64801136193015"><b>Recursive</b></span>: indicates that permission is granted to subdirectories recursively.</li></ul>
+</li><li id="mrs_01_0373__li5531056815410"><span class="parmvalue" id="mrs_01_0373__parmvalue1352411610315"><b>Storage policies</b></span>: indicates the policies for storing files or directories in HDFS.</li><li id="mrs_01_0373__li52658332163558"><span class="parmvalue" id="mrs_01_0373__parmvalue2459722163612"><b>Summary</b></span>: indicates that you can view HDFS storage information about the selected file or directory.</li></ul>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0373__section4838881415445"><h4 class="sectiontitle">Accessing Other Directories</h4><ol id="mrs_01_0373__ol4714268515450"><li id="mrs_01_0373__li4846330815450"><span>Click the directory name, type a full path you want to access, for example, <span class="filepath" id="mrs_01_0373__filepath6503713515450"><b>/mr-history/tmp</b></span>, and press <strong id="mrs_01_0373__en-us_topic_0049949145_b84235270615398">Enter</strong>.</span><p><p id="mrs_01_0373__p198056441552">The current user must have permission to access other directories.</p>
+</p></li><li id="mrs_01_0373__li3321388815450"><span>Click <span class="uicontrol" id="mrs_01_0373__uicontrol1843235814357"><b>Home</b></span> to go to the home directory.</span></li><li id="mrs_01_0373__li597037115450"><span>Click <span class="uicontrol" id="mrs_01_0373__uicontrol6556191412365"><b>History</b></span>. The history records of directory access are displayed and the directories can be accessed again.</span></li><li id="mrs_01_0373__li1383808015450"><span>Click <span class="uicontrol" id="mrs_01_0373__uicontrol419313307364"><b>Trash</b></span> to access the recycle bin of the current directory.</span><p><p id="mrs_01_0373__p2528678815455">Click <span class="uicontrol" id="mrs_01_0373__uicontrol78961110163720"><b>Empty Trash</b></span> to clean up the recycle bin. </p>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0373__section5192645015514"><h4 class="sectiontitle">Uploading User Files</h4><ol id="mrs_01_0373__ol2509437515519"><li id="mrs_01_0373__li4731510015519"><span>Click <span><img id="mrs_01_0373__image0741192252913" src="en-us_image_0000001295770424.png"></span> and click <strong id="mrs_01_0373__b1021915321151">Upload</strong>.</span></li><li id="mrs_01_0373__li4007096615519"><span>Select an operation.</span><p><ul id="mrs_01_0373__ul6410465315519"><li id="mrs_01_0373__li731790115519"><span class="parmvalue" id="mrs_01_0373__parmvalue07255536413"><b>Files</b></span>: uploads user files to the current user.</li><li id="mrs_01_0373__li712273915519"><span class="parmvalue" id="mrs_01_0373__parmvalue6586111315519"><b>Zip/Tgz/Bz2 file</b></span>: uploads a compressed file. In the dialog box that is displayed, click <span class="uicontrol" id="mrs_01_0373__uicontrol5587911015519"><b><span id="mrs_01_0373__text1347035121818">Select </span>ZIP, TGZ or BZ2 files</b></span> to select the compressed file to be uploaded. The system automatically decompresses the file in HDFS. Compressed files in <span class="parmname" id="mrs_01_0373__parmname3314995015519"><b>ZIP</b></span>, <span class="parmname" id="mrs_01_0373__parmname2991409615519"><b>TGZ</b></span>, and <span class="parmname" id="mrs_01_0373__parmname79141515519"><b>BZ2</b></span> formats are supported.</li></ul>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0373__section179653215528"><h4 class="sectiontitle">Creating a New File or Directory</h4><ol id="mrs_01_0373__ol5885780115532"><li id="mrs_01_0373__li1552358215532"><span>Click <span><img id="mrs_01_0373__image11959194002913" src="en-us_image_0000001349169945.png"></span> and click <span class="uicontrol" id="mrs_01_0373__uicontrol547163754211"><b>New</b></span>.</span></li><li id="mrs_01_0373__li6619207915532"><span>Select an operation.</span><p><ul id="mrs_01_0373__ul3718083715532"><li id="mrs_01_0373__li4240259415532"><span class="parmvalue" id="mrs_01_0373__parmvalue2071845384216"><b>File</b></span>: creates a file. Enter a file name and click <span class="uicontrol" id="mrs_01_0373__uicontrol270641314311"><b>Create</b></span>.</li><li id="mrs_01_0373__li4141390615532"><span class="parmvalue" id="mrs_01_0373__parmvalue184071741204318"><b>Directory</b></span>: creates a directory. Enter a directory name and click <span class="uicontrol" id="mrs_01_0373__uicontrol142009500436"><b>Create</b></span>.</li></ul>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0373__section1285533215178"><h4 class="sectiontitle">Storage Policy Definition and Usage</h4><div class="note" id="mrs_01_0373__n15b25d7ef75249ebade91127ef5d9786"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0373__a0b019eac34884353aa1d638920207909">If the value of Hue parameter <span class="parmname" id="mrs_01_0373__p13ae91ca343d49779d3753dcfb6fb046"><b>fs_defaultFS</b></span> is set to <span class="parmvalue" id="mrs_01_0373__pb8fa0b6f41c249b19f2614ce4d08502f"><b>viewfs://ClusterX</b></span>, the big data storage policy cannot be enabled.</p>
+</div></div>
+<ol id="mrs_01_0373__oda77a7baa4c14244bb98b12cadcc7d20"><li id="mrs_01_0373__li13533607104"><span>Log in to MRS Manager.</span></li><li id="mrs_01_0373__li73911324102"><span>On MRS Manager, choose <span class="menucascade" id="mrs_01_0373__menucascade1739218241004"><b><span class="uicontrol" id="mrs_01_0373__uicontrol63911241306">System</span></b> &gt; <b><span class="uicontrol" id="mrs_01_0373__uicontrol163922241407">Permission &gt; Manage Role</span></b> &gt; <b><span class="uicontrol" id="mrs_01_0373__uicontrol539213246018">Create Role</span></b></span>.</span><p><ol type="a" id="mrs_01_0373__ol1247919281801"><li id="mrs_01_0373__li480818329012">Set <span class="parmname" id="mrs_01_0373__parmname208080321409"><b>Role Name</b></span>.</li><li id="mrs_01_0373__li391564718218">Choose <span class="parmname" id="mrs_01_0373__pf88e7ecdf4a84f0982ef774ea71f77fa"><b>Configure Resource Permission &gt; Hue</b></span>, select <strong id="mrs_01_0373__b19190537151014">Storage Policy Admin</strong>, and click <span class="uicontrol" id="mrs_01_0373__uicontrol2124172818177"><b>OK</b></span> to grant the storage policy administrator permission to the role.</li></ol>
+</p></li><li id="mrs_01_0373__lad19ed90dd11448a8fc79c41d59f7cb1"><span>Choose <strong id="mrs_01_0373__b48248141762">System</strong> &gt; <strong id="mrs_01_0373__b103191181463">Permission</strong> &gt; <strong id="mrs_01_0373__b329332413617">Manage User Group</strong> &gt; <strong id="mrs_01_0373__b132144296616">Create User Group</strong>, set <span class="parmname" id="mrs_01_0373__p1ff829af05b948e19ef78b5f1217638a"><b>Group Name</b></span>, and click <strong id="mrs_01_0373__b184211958366">Select and Add Role</strong> next to <strong id="mrs_01_0373__b12605601172">Role</strong>. On the displayed page, select the created role and click <strong id="mrs_01_0373__b24564370">OK</strong> to add the role to the group.</span></li><li id="mrs_01_0373__li3792930212"><span>Choose <strong id="mrs_01_0373__b1445675311102">System</strong> &gt; <strong id="mrs_01_0373__b33801852116">Permission</strong> &gt; <strong id="mrs_01_0373__b14462125311012">Manage User</strong> &gt; <strong id="mrs_01_0373__b134631953151018">Create User</strong>.</span><p><ol type="a" id="mrs_01_0373__ol7191933917"><li id="mrs_01_0373__li122263413114">Specify the <span class="parmname" id="mrs_01_0373__parmname127151154182615"><b>Username</b></span> of a user who can log in to the Hue web UI and has the <strong id="mrs_01_0373__b19716115416269">Storage Policy Admin</strong> permission.</li><li id="mrs_01_0373__li8849155919111">Set <span class="parmname" id="mrs_01_0373__parmname178511159516"><b>User Type</b></span> to <span class="parmvalue" id="mrs_01_0373__parmvalue18851859014"><b>Human-machine</b></span>.</li><li id="mrs_01_0373__li184104105210">Set <span class="parmname" id="mrs_01_0373__parmname1241351020216"><b>Password</b></span> and <span class="parmname" id="mrs_01_0373__parmname141316101521"><b>Confirm Password</b></span> for logging in to the Hue web UI.</li><li id="mrs_01_0373__li1411042312214">Click <strong id="mrs_01_0373__b2029820140132">Select and Join User Group</strong> next to <strong id="mrs_01_0373__b96594915139">User Group</strong>. On the page that is displayed, select the created user group, <strong id="mrs_01_0373__b2101173941312">supergroup</strong>, <strong id="mrs_01_0373__b10122114291310">hadoop</strong>, and <strong id="mrs_01_0373__b588164981311">hive</strong>, and click <strong id="mrs_01_0373__b1161745315132">OK</strong>.</li><li id="mrs_01_0373__li5327103110214">Set <span class="parmname" id="mrs_01_0373__parmname19328331828"><b>Primary Group</b></span> to <strong id="mrs_01_0373__b188373129149">hive</strong>.</li><li id="mrs_01_0373__li652811391324">Click <strong id="mrs_01_0373__b280618303144">Select and Add Role</strong> on the right of <strong id="mrs_01_0373__b142083651420">Assign Rights by Role</strong>. On the Select snf page that is displayed, select the newly created role and the <strong id="mrs_01_0373__b1380075214147">System_administrator</strong> role, and click <span class="uicontrol" id="mrs_01_0373__uicontrol135301039329"><b>OK</b></span>.</li><li id="mrs_01_0373__li710915236113">Click <span class="uicontrol" id="mrs_01_0373__u0d4f19c0b47644528f3b07d656089773"><b>OK</b></span>. The user is added successfully.</li></ol>
+</p></li><li id="mrs_01_0373__l683b653aec7e4fc1b96d114ffd416467"><span>Access the Hue web UI. For details, see <a href="mrs_01_0370.html">Accessing the Hue Web UI</a>.</span></li><li id="mrs_01_0373__l51de9086fe414132ba76cfda090cfc3a"><span>Click <span><img id="mrs_01_0373__image18731341145115" src="en-us_image_0000001296090208.png"></span> in the upper right corner.</span></li><li id="mrs_01_0373__l96a22e64908f4ba7928bed6b725ce814"><span>Select the check box of the directory and click <span class="uicontrol" id="mrs_01_0373__uicontrol19194519154813"><b>Action</b></span> on the upper part of the page. Then select <span class="uicontrol" id="mrs_01_0373__uicontrol4701164918488"><b>Storage policies</b></span>.</span></li><li id="mrs_01_0373__l8f3b50e361e6409080086abd704e7f0f"><span>In the dialog box that is displayed, set a new storage policy and click <strong id="mrs_01_0373__b1431354811169">OK</strong>.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0369.html">Using Hue (Versions Earlier Than MRS 3.x)</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_0374"></a><a name="mrs_01_0374"></a>
+
+<h1 class="topictitle1">Using Job Browser on the Hue Web UI</h1>
+<div id="body1589421630438"><div class="section" id="mrs_01_0374__s7a10ee0f9000445c81af7b89640f1539"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0374__p1393191262116">You can use the Hue web UI to query all jobs in the cluster.</p>
+<p id="mrs_01_0374__p18497646204210">For versions earlier than MRS 1.9.2, MRS clusters with Kerberos authentication enabled support this function.</p>
+</div>
+<div class="section" id="mrs_01_0374__section5797126615627"><h4 class="sectiontitle">Accessing Job Browser</h4><ol id="mrs_01_0374__ol3455717515634"><li id="mrs_01_0374__li163561324511"><span>Access the Hue web UI. For details, see <a href="mrs_01_0370.html">Accessing the Hue Web UI</a>.</span></li><li id="mrs_01_0374__li1121682915634"><span>Click <span class="uicontrol" id="mrs_01_0374__uicontrol4598555715634"><b>Job Browser</b></span>.</span><p><div class="p" id="mrs_01_0374__p88932365516">View the jobs in the cluster.<div class="note" id="mrs_01_0374__note5689580915634"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0374__p3614791815634">The number on <span class="wintitle" id="mrs_01_0374__wintitle95756313552"><b>Job Browser</b></span> indicates the total number of jobs in the cluster.</p>
+</div></div>
+</div>
+<p id="mrs_01_0374__p4515784215634"><span class="wintitle" id="mrs_01_0374__wintitle722933620558"><b>Job Browser</b></span> displays the following job information.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0374__table1535121615634" frame="border" border="1" rules="all"><caption><b>Table 1 </b>MRS job attributes</caption><thead align="left"><tr id="mrs_01_0374__row3653459615634"><th align="left" class="cellrowborder" valign="top" width="30.64%" id="mcps1.3.2.2.2.2.3.2.3.1.1"><p id="mrs_01_0374__p6208203415634">Attribute</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="69.36%" id="mcps1.3.2.2.2.2.3.2.3.1.2"><p id="mrs_01_0374__p6258888115634">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0374__row3638438215634"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.2.2.2.3.2.3.1.1 "><p id="mrs_01_0374__p1367471612561"><span class="parmname" id="mrs_01_0374__parmname1393214412572"><b>Logs</b></span></p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.2.2.2.3.2.3.1.2 "><p id="mrs_01_0374__p4601693715634">Log information. If a job has logs, <span><img id="mrs_01_0374__image4985223515634" src="en-us_image_0000001349090305.jpg"></span> is displayed.</p>
+</td>
+</tr>
+<tr id="mrs_01_0374__row837856815634"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.2.2.2.3.2.3.1.1 "><p id="mrs_01_0374__p6145380715634"><span class="parmname" id="mrs_01_0374__parmname5902398315634"><b>ID</b></span></p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.2.2.2.3.2.3.1.2 "><p id="mrs_01_0374__p1170250215634">Job ID, which is generated by the system automatically.</p>
+</td>
+</tr>
+<tr id="mrs_01_0374__row4179649115634"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.2.2.2.3.2.3.1.1 "><p id="mrs_01_0374__p16920171245714"><span class="parmname" id="mrs_01_0374__parmname772272119573"><b>Name</b></span></p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.2.2.2.3.2.3.1.2 "><p id="mrs_01_0374__p962955515634">Job name</p>
+</td>
+</tr>
+<tr id="mrs_01_0374__row5785170415634"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.2.2.2.3.2.3.1.1 "><p id="mrs_01_0374__p3007262415634"><span class="parmname" id="mrs_01_0374__parmname4062410415634"><b><span id="mrs_01_0374__text18297544193512">Application Type</span></b></span></p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.2.2.2.3.2.3.1.2 "><p id="mrs_01_0374__p4545346115634">Job type</p>
+</td>
+</tr>
+<tr id="mrs_01_0374__row3636957415634"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.2.2.2.3.2.3.1.1 "><p id="mrs_01_0374__p1261911306579"><span class="parmname" id="mrs_01_0374__parmname102041043175717"><b>Status</b></span></p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.2.2.2.3.2.3.1.2 "><p id="mrs_01_0374__p4353124015634">Job status. Possible values are <span class="parmvalue" id="mrs_01_0374__parmvalue6440495915634"><b>RUNNING</b></span>, <span class="parmvalue" id="mrs_01_0374__parmvalue207391312165818"><b>SUCCEEDED</b></span>, <span class="parmvalue" id="mrs_01_0374__parmvalue52005186581"><b>FAILED</b></span>, and <span class="parmvalue" id="mrs_01_0374__parmvalue6895921115817"><b>KILLED</b></span>.</p>
+</td>
+</tr>
+<tr id="mrs_01_0374__row5762128115634"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.2.2.2.3.2.3.1.1 "><p id="mrs_01_0374__p13889184116585"><span class="parmname" id="mrs_01_0374__parmname82171551175810"><b>User</b></span></p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.2.2.2.3.2.3.1.2 "><p id="mrs_01_0374__p4876463415634">User who starts the job</p>
+</td>
+</tr>
+<tr id="mrs_01_0374__row6699930515634"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.2.2.2.3.2.3.1.1 "><p id="mrs_01_0374__p3681217615634"><span class="parmname" id="mrs_01_0374__parmname4882948415634"><b>Maps</b></span></p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.2.2.2.3.2.3.1.2 "><p id="mrs_01_0374__p2899630415634">Map progress</p>
+</td>
+</tr>
+<tr id="mrs_01_0374__row2640859715634"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.2.2.2.3.2.3.1.1 "><p id="mrs_01_0374__p5823459415634"><span class="parmname" id="mrs_01_0374__parmname6612283415634"><b>Reduces</b></span></p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.2.2.2.3.2.3.1.2 "><p id="mrs_01_0374__p1938163515634">Reduce progress</p>
+</td>
+</tr>
+<tr id="mrs_01_0374__row42764615634"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.2.2.2.3.2.3.1.1 "><p id="mrs_01_0374__p176278012591"><span class="parmname" id="mrs_01_0374__parmname1625271555911"><b>Queue</b></span></p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.2.2.2.3.2.3.1.2 "><p id="mrs_01_0374__p5882909815634">Yarn queue used for job running</p>
+</td>
+</tr>
+<tr id="mrs_01_0374__row3803033115634"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.2.2.2.3.2.3.1.1 "><p id="mrs_01_0374__p2689182416596"><span class="parmname" id="mrs_01_0374__parmname6677103835912"><b>Priority</b></span></p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.2.2.2.3.2.3.1.2 "><p id="mrs_01_0374__p5432230215634">Job running priority</p>
+</td>
+</tr>
+<tr id="mrs_01_0374__row3625261215634"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.2.2.2.3.2.3.1.1 "><p id="mrs_01_0374__p12507943155910"><span class="parmname" id="mrs_01_0374__parmname6995115115920"><b>Duration</b></span></p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.2.2.2.3.2.3.1.2 "><p id="mrs_01_0374__p624709415634">Job running duration</p>
+</td>
+</tr>
+<tr id="mrs_01_0374__row4245889915634"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.2.2.2.3.2.3.1.1 "><p id="mrs_01_0374__p5078049915634"><span class="parmname" id="mrs_01_0374__parmname1372101008"><b>Submitted</b></span></p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.2.2.2.3.2.3.1.2 "><p id="mrs_01_0374__p1957978715634">Time when the job is submitted to the MRS cluster</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_0374__note5096540515634"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0374__p3548898415634">If the MRS cluster has Spark, the <span class="parmname" id="mrs_01_0374__parmname394322015634"><b>Spark-JDBCServer</b></span> job is started by default to execute tasks.</p>
+</div></div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0374__section1851936815652"><h4 class="sectiontitle">Searching for Jobs</h4><ol id="mrs_01_0374__ol685764615656"><li id="mrs_01_0374__li6387950815656"><span>Enter keywords in <span class="parmname" id="mrs_01_0374__parmname127062620111"><b>Username</b></span> or <span class="parmname" id="mrs_01_0374__parmname11976102214116"><b>Text</b></span> on the <span class="wintitle" id="mrs_01_0374__wintitle63814362009"><b>Job Browser</b></span> page to search for the desired jobs.</span></li><li id="mrs_01_0374__li3804466215656"><span>Clear the search criteria. The system displays all jobs.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_0374__section145630421574"><h4 class="sectiontitle">Querying Job Details</h4><ol id="mrs_01_0374__ol347766581577"><li id="mrs_01_0374__li464807961577"><span>In the job list on the <span class="wintitle" id="mrs_01_0374__wintitle12447205110118"><b>Job Browser</b></span> page, click the row that contains the desired job to view details.</span></li><li id="mrs_01_0374__li262336941577"><span>On the <span class="wintitle" id="mrs_01_0374__wintitle82291857317"><b>Metadata</b></span> tab page, you can view the metadata of the job.</span><p><div class="note" id="mrs_01_0374__note178279351577"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0374__p616332051577">You can click <span><img id="mrs_01_0374__image288382610218" src="en-us_image_0000001349170201.jpg"></span> to open job running logs.</p>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0369.html">Using Hue (Versions Earlier Than MRS 3.x)</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_0375"></a><a name="mrs_01_0375"></a>
+
+<h1 class="topictitle1">Using Kafka</h1>
+<div id="body1589421630439"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1031.html">Using Kafka from Scratch</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0376.html">Managing Kafka Topics</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0377.html">Querying Kafka Topics</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0378.html">Managing Kafka User Permissions</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0379.html">Managing Messages in Kafka Topics</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0441.html">Synchronizing Binlog-based MySQL Data to the MRS Cluster</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1032.html">Creating a Kafka Role</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1033.html">Kafka Common Parameters</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1035.html">Safety Instructions on Using Kafka</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1036.html">Kafka Specifications</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1767.html">Using the Kafka Client</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1037.html">Configuring Kafka HA and High Reliability Parameters</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1038.html">Changing the Broker Storage Directory</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1039.html">Checking the Consumption Status of Consumer Group</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1040.html">Kafka Balancing Tool Instructions</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24299.html">Balancing Data After Kafka Node Scale-Out</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1041.html">Kafka Token Authentication Mechanism Tool Usage</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1042.html">Introduction to Kafka Logs</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1043.html">Performance Tuning</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2312.html">Kafka Feature Description</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24534.html">Migrating Data Between Kafka Nodes</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1768.html">Common Issues About Kafka</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0376.html b/docs/mrs/component-operation-guide/mrs_01_0376.html
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+<a name="mrs_01_0376"></a><a name="mrs_01_0376"></a>
+
+<h1 class="topictitle1">Managing Kafka Topics</h1>
+<div id="body1589421630446"><div class="section" id="mrs_01_0376__se26ecb53194e405f958c4ce3378383a7"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0376__aa3144edd1295421b83ed08a78c1bd310">You can manage Kafka topics on a cluster client based on service requirements. Management permission is required for clusters with Kerberos authentication enabled.</p>
+</div>
+<div class="section" id="mrs_01_0376__sd37d6d7758764152ac4d177b37f3127c"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_0376__a1179bbe9a620407fb0d1dcc5676fde5b">You have installed the Kafka client.</p>
+
+</div>
+<div class="section" id="mrs_01_0376__sf23385a46fce4ee3baaacbabc3ae5219"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0376__o05c947a6157c429488f1a6bcdc1d66bd"><li id="mrs_01_0376__li13806122116487"><span>Access the ZooKeeper instance page.</span><p><ul id="mrs_01_0376__en-us_topic_0264266588_ul1692910323486"><li id="mrs_01_0376__en-us_topic_0264266588_li792916322486">For versions earlier than MRS 1.9.2, log in to MRS Manager and choose <strong id="mrs_01_0376__en-us_topic_0264266588_b1584916171418">Services</strong> &gt; <strong id="mrs_01_0376__en-us_topic_0264266588_b2090181614141">ZooKeeper</strong> &gt; <strong id="mrs_01_0376__en-us_topic_0264266588_b179071612143">Instance</strong>.</li><li id="mrs_01_0376__en-us_topic_0264266588_li979413816488">For MRS 1.9.2 or later to versions earlier than 3.x, click the cluster name on the MRS console and choose <strong id="mrs_01_0376__en-us_topic_0264266588_b56141727181418">Components</strong> &gt; <strong id="mrs_01_0376__en-us_topic_0264266588_b562032781420">ZooKeeper</strong> &gt; <strong id="mrs_01_0376__en-us_topic_0264266588_b2620122751416">Instances</strong>.<div class="note" id="mrs_01_0376__en-us_topic_0264266588_note1664505711110"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0376__en-us_topic_0264266588_p158007468574">If the <strong id="mrs_01_0376__en-us_topic_0264266588_b33924111304">Components</strong> tab is unavailable, complete IAM user synchronization first. (On the <strong id="mrs_01_0376__en-us_topic_0264266588_b1239291112016">Dashboard</strong> page, click <strong id="mrs_01_0376__en-us_topic_0264266588_b939315111101">Synchronize</strong> on the right side of <span class="parmname" id="mrs_01_0376__en-us_topic_0264266588_parmname73938113016"><b>IAM User Sync</b></span> to synchronize IAM users.)</p>
+</div></div>
+</li></ul>
+</p></li><li id="mrs_01_0376__l2f4a4c4b2bbb427a890864b6ae357ea8"><span>View the IP addresses of the ZooKeeper role instance.</span><p><p id="mrs_01_0376__a2c7ffa9191bf467cb17b66c27ef78e5a">Record any IP address of the ZooKeeper instance.</p>
+</p></li><li id="mrs_01_0376__l9b2a798722044c01975eaaee4bebd7dd"><span>Prepare the client based on service requirements. Log in to the node where the client is installed.</span></li><li id="mrs_01_0376__l14680ebec7694c71a1e3056f9ae0f72b"><span>Run the following command to switch to the client directory, for example, /<strong id="mrs_01_0376__b49244712513">opt</strong><strong id="mrs_01_0376__b15924974258"></strong><strong id="mrs_01_0376__b169246782516">/client/Kafka/kafka/bin</strong>.</span><p><p id="mrs_01_0376__af3976b170fc4424ba173ec0c73381a13"><strong id="mrs_01_0376__en-us_topic_0053946969_b208077520224">cd /opt/client/Kafka/kafka/bin</strong></p>
+</p></li><li id="mrs_01_0376__l9974bee6f19240e692c4157eeab1a308"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_0376__abf436e581670449ca4950d9225d58143"><strong id="mrs_01_0376__a64fbd5f493b8412ca7e963f5bdbff088">source /opt/client/bigdata_env</strong></p>
+</p></li><li id="mrs_01_0376__lfa00bf6e182d432dbbe25004a768ab74"><span>Run the following command to perform user authentication (skip this step in normal mode):</span><p><p id="mrs_01_0376__a3161a2660a72482c80662e8cd46c2554"><strong id="mrs_01_0376__b72205782213">kinit</strong> <em id="mrs_01_0376__i15717577224">Component service user</em></p>
+</p></li><li id="mrs_01_0376__lef5a65dfacd94aca8c9991c442b4a360"><a name="mrs_01_0376__lef5a65dfacd94aca8c9991c442b4a360"></a><a name="lef5a65dfacd94aca8c9991c442b4a360"></a><span>For versions earlier than MRS 3.x, run the following commands to manage Kafka topics:</span><p><ul id="mrs_01_0376__uf0ad2c8d0c0c4fb3b550794be48eed98"><li id="mrs_01_0376__lb58d768e76964c39803a0f63f12b2301">Creating a topic<p id="mrs_01_0376__ae5ce81ce5016407c9519ad123428b397"><a name="mrs_01_0376__lb58d768e76964c39803a0f63f12b2301"></a><a name="lb58d768e76964c39803a0f63f12b2301"></a><strong id="mrs_01_0376__b674718483135">sh kafka-topics.sh --create --topic </strong><em id="mrs_01_0376__i7752204812138">Topic name</em><strong id="mrs_01_0376__b14752174831312"> --partitions</strong> <em id="mrs_01_0376__i1752104811130">Number of partitions occupied by the topic</em> <strong id="mrs_01_0376__b1375364815133">--replication-factor</strong> <em id="mrs_01_0376__i87531148101313">Number of replicas of the topic</em> <strong id="mrs_01_0376__b18753154811317">--zookeeper</strong> <em id="mrs_01_0376__i1075484841315">IP address of the node where the ZooKeeper instance resides<strong id="mrs_01_0376__b07546487137">:</strong>clientPort</em><strong id="mrs_01_0376__b1375418484133">/kafka</strong></p>
+</li><li id="mrs_01_0376__l89617572a3b04bf7b4617fe6d5c8a0eb">Deleting a topic<p id="mrs_01_0376__a9a1e0b5cbbbd4548aa7c8e8deb799e5a"><a name="mrs_01_0376__l89617572a3b04bf7b4617fe6d5c8a0eb"></a><a name="l89617572a3b04bf7b4617fe6d5c8a0eb"></a><strong id="mrs_01_0376__b91381150141">sh kafka-topics.sh --delete --topic</strong> <em id="mrs_01_0376__i1214313517148">Topic name</em> <strong id="mrs_01_0376__b7144252147">--zookeeper</strong> <em id="mrs_01_0376__i1514455181418">IP address of the node where the ZooKeeper instance resides</em>:<em id="mrs_01_0376__i14144355147">clientPort</em><strong id="mrs_01_0376__b1714465161417">/kafka</strong></p>
+</li></ul>
+<div class="note" id="mrs_01_0376__n1fa9b2e74bc8451f9fd4bd2b74321208"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0376__u9fec8335d2ac4bcf908b5d1689c6a5b3"><li id="mrs_01_0376__l8bd7fab90ce54feb9f3fc1aa45ccf1b0">The number of topic partitions or topic backup replicas cannot exceed the number of Kafka instances.</li><li id="mrs_01_0376__l6ef552b6e07f48eeb1e92169cdc0719f">By default, the value of <span class="parmname" id="mrs_01_0376__en-us_topic_0053946969_parmname89734452817216"><b>clientPort</b></span> of ZooKeeper is <span class="parmvalue" id="mrs_01_0376__p67aea0e3f02b49829ae8bf8dea1fc2d7"><b>2<span id="mrs_01_0376__text59469239252">181</span></b></span>.<p id="mrs_01_0376__p1052717376567">For MRS 1.6.2 or earlier, the value of ZooKeeper's <strong id="mrs_01_0376__b14888105884212">clientPort</strong> defaults to <strong id="mrs_01_0376__b18888258204218">24002</strong>.</p>
+</li><li id="mrs_01_0376__ld36ed7020a27478b960f09a1f17369db">There are three ZooKeeper instances. Use the IP address of any one.</li><li id="mrs_01_0376__lb9d119a01b5e4fbcb3b62dbbf87561eb">For details about managing messages in Kafka topics, see <a href="mrs_01_0379.html">Managing Messages in Kafka Topics</a>.</li></ul>
+</div></div>
+</p></li><li id="mrs_01_0376__li8151829112811"><span>MRS 3.<em id="mrs_01_0376__i716111257383">x</em> and later versions: Use <strong id="mrs_01_0376__b18634102883712">kafka-topics.sh</strong> to manage Kafka topics.</span><p><ul id="mrs_01_0376__ul168653182912"><li id="mrs_01_0376__li25388190164715">Creating a topic:<p id="mrs_01_0376__p111779572114"><a name="mrs_01_0376__li25388190164715"></a><a name="li25388190164715"></a>By default, partitions of a topic are distributed based on the number of partitions on the node and disk. To distribute partitions based on the disk capacity, set <strong id="mrs_01_0376__b166891232192018">log.partition.strategy</strong> to <span class="parmvalue" id="mrs_01_0376__parmvalue7695183141211"><b>capacity</b></span> for the Kafka service.</p>
+<p id="mrs_01_0376__p1070313408128">When a topic is created in Kafka, partitions and copies can be generated based on the combination of rack awareness and cross-AZ feature. The <strong id="mrs_01_0376__b910817148214">--zookeeper </strong>and <strong id="mrs_01_0376__b1689741822113">--bootstrap-server</strong> modes are supported.</p>
+<ul id="mrs_01_0376__ul22051777018"><li id="mrs_01_0376__li88278578191">Disable the rack policy and cross-AZ feature (default policy).<p id="mrs_01_0376__p1315645913191"><a name="mrs_01_0376__li88278578191"></a><a name="li88278578191"></a>Copies of topics created based on this policy are randomly allocated to any node in the cluster.</p>
+<p id="mrs_01_0376__p49557289018"><strong id="mrs_01_0376__b5362949132116">./kafka-topics.sh --create --topic </strong><em id="mrs_01_0376__i1636824911210">topic name </em><strong id="mrs_01_0376__b2036914920217">--partitions </strong><em id="mrs_01_0376__i137019491215">number of partitions occupied by the topic</em><strong id="mrs_01_0376__b12372749102111">--replication-factor </strong><em id="mrs_01_0376__i3373104992119">number of replicas of the topic</em><strong id="mrs_01_0376__b8374114911219">--zookeeper </strong><em id="mrs_01_0376__i1737564917215">IP address of any ZooKeeper node:clientPort</em><strong id="mrs_01_0376__b1637617497213">/kafka</strong></p>
+<p id="mrs_01_0376__p84896551826"><strong id="mrs_01_0376__b227945519216">./kafka-topics.sh --create --topic </strong><em id="mrs_01_0376__i1328516555214">topic name </em><strong id="mrs_01_0376__b528635592111">--partitions </strong><em id="mrs_01_0376__i13287185582118">number of partitions occupied by the topic</em><strong id="mrs_01_0376__b52881955102118">--replication-factor </strong><em id="mrs_01_0376__i228935542112">number of replicas of the topic</em> <strong id="mrs_01_0376__b1529018551215">--</strong><strong id="mrs_01_0376__b182911755172112">bootstrap-server </strong><em id="mrs_01_0376__i829215552213">IP address of the Kafka</em><em id="mrs_01_0376__i122941555182119">cluster:21007</em> <strong id="mrs_01_0376__b12295755132118">--command-config ../config/client.properties</strong></p>
+<p id="mrs_01_0376__p39978131223">If you use <strong id="mrs_01_0376__b1848619311227">--bootstrap-server</strong> to create a topic, set <strong id="mrs_01_0376__b199501468224">rack.aware.enable</strong> and <strong id="mrs_01_0376__b2470182042220">az.aware.enable</strong> to <strong id="mrs_01_0376__b497619820225">false</strong>.</p>
+</li><li id="mrs_01_0376__li13975193411911">Enable the rack policy and disable the cross-AZ feature.<p id="mrs_01_0376__p13129173720194"><a name="mrs_01_0376__li13975193411911"></a><a name="li13975193411911"></a>The leader of each partition of the topic created based on this policy is randomly allocated on the cluster node. However, different replicas of the same partition are allocated to different racks. Therefore, when this policy is used, ensure that the number of nodes in each rack is the same, otherwise, the load of nodes in the rack with fewer nodes is much higher than the average load of the cluster.</p>
+<p id="mrs_01_0376__p12251172619162"><strong id="mrs_01_0376__b1863246194012">./kafka-topics.sh --create --topic </strong><em id="mrs_01_0376__i78641746174010">topic name </em><strong id="mrs_01_0376__b58649465403">--partitions </strong><em id="mrs_01_0376__i6864184618409">number of partitions occupied by the topic</em><strong id="mrs_01_0376__b1986514694016">--replication-factor </strong><em id="mrs_01_0376__i3865164612408">number of replicas of the topic </em><strong id="mrs_01_0376__b19865134604017">--zookeeper </strong><em id="mrs_01_0376__i6865646144016">IP address of any ZooKeeper node:clientPort</em><strong id="mrs_01_0376__b15866646194014">/kafka --enable-rack-aware</strong></p>
+<p id="mrs_01_0376__p10421827541"><strong id="mrs_01_0376__b14461155184018">./kafka-topics.sh --create --topic </strong><em id="mrs_01_0376__i1146165519402">topic name </em><strong id="mrs_01_0376__b8462175504015">--partitions </strong><em id="mrs_01_0376__i046225516404">number of partitions occupied by the topic</em><strong id="mrs_01_0376__b1146235520404">--replication-factor </strong><em id="mrs_01_0376__i1646235511408">number of replicas of the topic</em> <strong id="mrs_01_0376__b3463135513408">--</strong><strong id="mrs_01_0376__b19463125524016">bootstrap-server </strong><em id="mrs_01_0376__i20463195574011">IP address of the Kafka</em><em id="mrs_01_0376__i194631455104018">cluster:21007</em> <strong id="mrs_01_0376__b1346445514408">--command-config ../config/client.properties</strong></p>
+<p id="mrs_01_0376__p856910431743">If you use <strong id="mrs_01_0376__b1722905718407">--bootstrap-server</strong> to create a topic, set <strong id="mrs_01_0376__b1423019574407">rack.aware.enable</strong> to <strong id="mrs_01_0376__b13586148121210">true</strong> and <strong id="mrs_01_0376__b1423075714012">az.aware.enable</strong> to <strong id="mrs_01_0376__b22301257134012">false</strong>.</p>
+</li><li id="mrs_01_0376__li2364112181919">Disable the rack policy and enable the cross-AZ feature.<p id="mrs_01_0376__p136215214193"><a name="mrs_01_0376__li2364112181919"></a><a name="li2364112181919"></a>The leader of each partition of the topic created based on this policy is randomly allocated on the cluster node. However, different replicas of the same partition are allocated to different AZs. Therefore, when this policy is used, ensure that the number of nodes in each AZ is the same, otherwise, the load of nodes in the AZ with fewer nodes is much higher than the average load of the cluster.</p>
+<p id="mrs_01_0376__p1114544314515"><strong id="mrs_01_0376__b13117121664715">./kafka-topics.sh --create --topic </strong><em id="mrs_01_0376__i12123161620471">topic name </em><strong id="mrs_01_0376__b41241616174711">--partitions </strong><em id="mrs_01_0376__i10124121615471">number of partitions occupied by the topic</em><strong id="mrs_01_0376__b12124816114713">--replication-factor </strong><em id="mrs_01_0376__i212571624711">number of replicas of the topic </em><strong id="mrs_01_0376__b41259164478">--zookeeper </strong><em id="mrs_01_0376__i312631615479">IP address of any ZooKeeper node:clientPort</em><strong id="mrs_01_0376__b812601694716">/kafka --enable-az-aware</strong></p>
+<p id="mrs_01_0376__p5921110067"><strong id="mrs_01_0376__b1226713514712">./kafka-topics.sh --create --topic </strong><em id="mrs_01_0376__i8267133594715">topic name </em><strong id="mrs_01_0376__b6268235154716">--partitions </strong><em id="mrs_01_0376__i7268143516476">number of partitions occupied by the topic</em><strong id="mrs_01_0376__b126911350472">--replication-factor </strong><em id="mrs_01_0376__i82691035184714">number of replicas of the topic</em> <strong id="mrs_01_0376__b1126917351472">--</strong><strong id="mrs_01_0376__b132704354477">bootstrap-server </strong><em id="mrs_01_0376__i62700350478">IP address of the Kafka</em><em id="mrs_01_0376__i1127116358476">cluster:21007</em> <strong id="mrs_01_0376__b102711835134712">--command-config ../config/client.properties</strong></p>
+<p id="mrs_01_0376__p4463172818610">If you use <strong id="mrs_01_0376__b97313774716">--bootstrap-server</strong> to create a topic, set <strong id="mrs_01_0376__b13732375476">rack.aware.enable</strong> to <strong id="mrs_01_0376__b167991753152016">false</strong> and <strong id="mrs_01_0376__b57493794714">az.aware.enable</strong> to <strong id="mrs_01_0376__b197412374474">true</strong>.</p>
+</li><li id="mrs_01_0376__li1352625710207">Enable the rack policy and cross-AZ feature.<p id="mrs_01_0376__p145447585208"><a name="mrs_01_0376__li1352625710207"></a><a name="li1352625710207"></a>The leader of each partition of the topic created based on this policy is randomly allocated on the cluster node. However, different replicas of the same partition are allocated to different racks in different AZs. This policy ensures that the number of nodes on each rack in each AZ is the same, otherwise, the load in the cluster is unbalanced.</p>
+<p id="mrs_01_0376__p13798528579"><strong id="mrs_01_0376__b191017813489">./kafka-topics.sh --create --topic </strong><em id="mrs_01_0376__i121598124812">topic name</em><strong id="mrs_01_0376__b8160884812"> --partitions </strong><em id="mrs_01_0376__i121618844812">number of partitions occupied by the topic</em><strong id="mrs_01_0376__b91719814815"> --replication-factor </strong><em id="mrs_01_0376__i9175818482">number of replicas of the topic</em><strong id="mrs_01_0376__b91812811483"> --zookeeper </strong><em id="mrs_01_0376__i11181581483">IP address of any ZooKeeper node</em><em id="mrs_01_0376__i7198818484">:clientPort</em><strong id="mrs_01_0376__b141919815481">/kafka --enable-rack-aware --enable-az-aware</strong></p>
+<p id="mrs_01_0376__p720084517718"><strong id="mrs_01_0376__b381062210489">./kafka-topics.sh --create --topic </strong><em id="mrs_01_0376__i9812142210482">topic name </em><strong id="mrs_01_0376__b1581292214488">--partitions </strong><em id="mrs_01_0376__i158137221487">number of partitions occupied by the topic</em><strong id="mrs_01_0376__b0814172217481">--replication-factor </strong><em id="mrs_01_0376__i18153229481">number of replicas of the topic</em> <strong id="mrs_01_0376__b381513229484">--</strong><strong id="mrs_01_0376__b178161822174810">bootstrap-server </strong><em id="mrs_01_0376__i681719224485">IP address of the Kafka</em><em id="mrs_01_0376__i1181712218480">cluster:21007</em> <strong id="mrs_01_0376__b108181022194819">--command-config ../config/client.properties</strong></p>
+<p id="mrs_01_0376__p15201571584">If you use <strong id="mrs_01_0376__b7436824144814">--bootstrap-server</strong> to create a topic, set <strong id="mrs_01_0376__b1243719248488">rack.aware.enable</strong> and <strong id="mrs_01_0376__b743822404816">az.aware.enable</strong> to <strong id="mrs_01_0376__b10463173616488">true</strong>.</p>
+</li></ul>
+<div class="note" id="mrs_01_0376__note15612115362413"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0376__ul876017514259"><li id="mrs_01_0376__li476012532513">Kafka supports topic creation in either of the following modes:<ul id="mrs_01_0376__ul15760115192512"><li id="mrs_01_0376__li77601150251">In <strong id="mrs_01_0376__b18769122835313">--zookeeper</strong> mode, the client generates a copy allocation scheme. The community supports this mode from the beginning. To reduce the dependency on the ZooKeeper component, the community will delete the support for this mode in later versions. When creating a topic in this mode, you can select a copy allocation policy by combining the <strong id="mrs_01_0376__b6683151015393">--enable-rack-aware</strong> and <strong id="mrs_01_0376__b106832103397">--enable-az-aware</strong> options. Note: The <strong id="mrs_01_0376__b1030012218392">--enable-az-aware</strong> option can be used only when the cross-AZ feature is enabled on the server, that is, <strong id="mrs_01_0376__b1356813286394">az.aware.enable</strong> is set to <strong id="mrs_01_0376__b193663173917">true</strong>. Otherwise, the execution fails.</li><li id="mrs_01_0376__li376015142519">In <strong id="mrs_01_0376__b15169178125016">--bootstrap-server</strong> mode, the server generates a copy allocation solution. In later versions, the community supports only this mode for topic management. When a topic is created in this mode, the <strong id="mrs_01_0376__b84981349105017">--enable-rack-aware</strong> and <strong id="mrs_01_0376__b116191285115">--enable-az-aware</strong> options cannot be used to control the copy allocation policy. The <strong id="mrs_01_0376__b174231165118">rack.aware.enable</strong> and <strong id="mrs_01_0376__b3409141418519">az.aware.enable</strong> parameters can be used together to control the copy allocation policy. Note that the <strong id="mrs_01_0376__b165091220195111">az.aware.enable</strong> parameter cannot be modified; if the cross-AZ feature is enabled during cluster creation, this parameter is automatically set to <strong id="mrs_01_0376__b18171446155111">true</strong>; the <strong id="mrs_01_0376__b1931515493518">rack.aware.enable</strong> parameter can be customized.</li></ul>
+</li></ul>
+</div></div>
+</li><li id="mrs_01_0376__li194992217202">List of topics:<ul id="mrs_01_0376__ul184931324142015"><li id="mrs_01_0376__l66e92762768d4a3493c515f9bd00760b"><strong id="mrs_01_0376__a72125dcd6e6b4b94ab66472ec993e209">./kafka-topics.sh --list --zookeeper </strong><em id="mrs_01_0376__a15a17c4cf72d4c7cb49b0820dba942ab">service IP address of any ZooKeeper node</em><em id="mrs_01_0376__i48711232204811">:clientPort</em><strong id="mrs_01_0376__a52beb0e66fbf49adbef304bc48fef974">/kafka</strong></li><li id="mrs_01_0376__li1492983018209"><strong id="mrs_01_0376__b11562826172111">./kafka-topics.sh --list --bootstrap-server </strong><em id="mrs_01_0376__i2811612102114">IP address of the Kafka</em><em id="mrs_01_0376__i381110128219">cluster:21007</em> <strong id="mrs_01_0376__b16177142215216">--command-config ../config/client.properties</strong></li></ul>
+</li><li id="mrs_01_0376__li164951610132914">Viewing the topic:<ul id="mrs_01_0376__ul1772491742915"><li id="mrs_01_0376__li553110165299"><strong id="mrs_01_0376__b775644152914">./kafka-topics.sh --describe --zookeeper</strong> <em id="mrs_01_0376__i79811489298">service IP address of any ZooKeeper node</em><em id="mrs_01_0376__i8977204618503">:clientPort</em><strong id="mrs_01_0376__b69864802917">/kafka</strong> --<strong id="mrs_01_0376__b167411123152215">topic</strong> <em id="mrs_01_0376__i44753576296">topic name</em></li><li id="mrs_01_0376__li9238185910295"><strong id="mrs_01_0376__b1877203473019">./kafka-topics.sh --describe --bootstrap-server</strong> <em id="mrs_01_0376__i960761253010">IP address of the Kafka</em><em id="mrs_01_0376__i86074126307">cluster:21007</em> <strong id="mrs_01_0376__b11114115512308">--command-config ../config/client.properties</strong> <strong id="mrs_01_0376__b7706638103017">--topic</strong> <em id="mrs_01_0376__i9876141512303">topic name</em></li></ul>
+</li><li id="mrs_01_0376__li54651651132113">Modifying a topic:<ul id="mrs_01_0376__ul381045111218"><li id="mrs_01_0376__l1147f56f270147e2bea176493ba889ca"><strong id="mrs_01_0376__a0e86a80de59c41d8882708f194e971db">./kafka-topics.sh --alter --topic </strong><em id="mrs_01_0376__a5aaa44a9b26c49c1be9905757aa99128">topic name</em><strong id="mrs_01_0376__a3d2326ee01fc4bbe9ef8c5aeb7770f7b">--config </strong><em id="mrs_01_0376__aa19f8377e45d4f87a238c36693ce9e2a">configuration item=</em><em id="mrs_01_0376__a465f39ac4d7b45e295c2d2356f7d7999">configuration value </em><strong id="mrs_01_0376__a9e3d3011eb884b32b9cb28562cc9c920">--zookeeper </strong><em id="mrs_01_0376__a1921e229f7884d08baba2e84a20f9656">service IP address of any ZooKeeper node</em><em id="mrs_01_0376__i11910154135212">:clientPort</em><strong id="mrs_01_0376__a08bc4aa581624350922e6467eb730d1f">/kafka</strong></li></ul>
+</li><li id="mrs_01_0376__li226143511720">Expanding partitions:<ul id="mrs_01_0376__ul38891245131713"><li id="mrs_01_0376__li14921756121920"><strong id="mrs_01_0376__b1854159151519">./kafka-topics.sh --alter --topic </strong><em id="mrs_01_0376__i457959191519">topic name</em><strong id="mrs_01_0376__b81712871617"> --zookeeper </strong><em id="mrs_01_0376__i131741083163">service IP address of any ZooKeeper node:clientPort</em><strong id="mrs_01_0376__b10976119171611">/kafka --command-config Kafka/kafka/config/client.properties --partitions </strong><em id="mrs_01_0376__i199781019111610">number of partitions after the expansion</em></li><li id="mrs_01_0376__li172251459179"><strong id="mrs_01_0376__b1254502618163">./kafka-topics.sh --alter --topic</strong> <em id="mrs_01_0376__i19548192691618">topic name</em><strong id="mrs_01_0376__b10805133421619"> --bootstrap-server</strong> <em id="mrs_01_0376__i14812113410166">IP address of the Kafka cluster</em><em id="mrs_01_0376__i1072944115165">:21007</em><strong id="mrs_01_0376__b1250510473167"> --command-config Kafka/kafka/config/client.properties --partitions </strong><em id="mrs_01_0376__i4510164781610">number of partitions after the expansion</em></li></ul>
+</li><li id="mrs_01_0376__li42542952613">Deleting a topic<ul id="mrs_01_0376__ul18488133192610"><li id="mrs_01_0376__li05741922122618"><strong id="mrs_01_0376__b45741522132618">./kafka-topics.sh --delete --topic </strong><em id="mrs_01_0376__i857582262617">topic name </em><strong id="mrs_01_0376__b1557522262613">--zookeeper </strong><em id="mrs_01_0376__i257562219265"><em id="mrs_01_0376__i1857542212268"><em id="mrs_01_0376__i45754227267">Service IP address of any ZooKeeper node</em></em>:clientPort</em><strong id="mrs_01_0376__b4575172214261">/kafka</strong></li><li id="mrs_01_0376__li9620173418260"><strong id="mrs_01_0376__b1541691718273">./kafka-topics.sh --delete --topic </strong><em id="mrs_01_0376__i2416161714271">topic name</em><strong id="mrs_01_0376__b1880122342715">--bootstrap-server </strong><em id="mrs_01_0376__i088042332720">IP address of the Kafka cluster</em><em id="mrs_01_0376__i108801723112719">:21007</em> <strong id="mrs_01_0376__b888072311272">--command-config ../config/client.properties</strong></li></ul>
+</li></ul>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0375.html">Using Kafka</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0377.html b/docs/mrs/component-operation-guide/mrs_01_0377.html
new file mode 100644
index 000000000..d38e0d4d5
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+++ b/docs/mrs/component-operation-guide/mrs_01_0377.html
@@ -0,0 +1,18 @@
+<a name="mrs_01_0377"></a><a name="mrs_01_0377"></a>
+
+<h1 class="topictitle1">Querying Kafka Topics</h1>
+<div id="body1589421630449"><div class="section" id="mrs_01_0377__sa6e9f8c9915d46dd9a28b4383d5e3f10"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0377__a079411f6d7814a49811f1d404703c8c9">You can query existing Kafka topics on MRS.</p>
+</div>
+<div class="section" id="mrs_01_0377__sf6163d5bc2664016a2e58281fc66df3e"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0377__oea82117eff564c1099eea81347031985"><li id="mrs_01_0377__li13806122116487"><span>Go to the Kafka service page.</span><p><ul id="mrs_01_0377__ul1692910323486"><li id="mrs_01_0377__li792916322486">For versions earlier than MRS 1.9.2, log in to MRS Manager and choose <strong id="mrs_01_0377__b699115497148">Services</strong> &gt; <strong id="mrs_01_0377__b181218241519">Kafka</strong>.</li><li id="mrs_01_0377__li979413816488">For MRS 1.9.2 or later, click the cluster name on the MRS console and choose <strong id="mrs_01_0377__b97122019159">Components</strong> &gt; <strong id="mrs_01_0377__b113132021514">Kafka</strong>.<div class="note" id="mrs_01_0377__note1103203791311"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0377__p15841154717426">If the <strong id="mrs_01_0377__b430410223013">Components</strong> tab is unavailable, complete IAM user synchronization first. (On the <strong id="mrs_01_0377__b1830414223017">Dashboard</strong> page, click <strong id="mrs_01_0377__b0304142215011">Synchronize</strong> on the right side of <span class="parmname" id="mrs_01_0377__parmname73054228016"><b>IAM User Sync</b></span> to synchronize IAM users.)</p>
+</div></div>
+</li><li id="mrs_01_0377__li13471132141315">For MRS 3.<em id="mrs_01_0377__i2094017447543">x</em> or later, log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. Choose <strong id="mrs_01_0377__b77193404157">Cluster</strong> &gt; <em id="mrs_01_0377__i197251400151">Name of the desired cluster</em> &gt; <strong id="mrs_01_0377__b13726154031515">Services</strong> &gt; <strong id="mrs_01_0377__b17726114041512">Kafka</strong>.</li></ul>
+</p></li><li id="mrs_01_0377__lf313ebbb51714db28f6cea6556a242f6"><span>Click <strong id="mrs_01_0377__b14439673714">KafkaTopicMonitor</strong>.</span><p><p id="mrs_01_0377__a14050bf5fb704ad7b770bad999cee912">All topics are displayed in the list by default. You can view the number of partitions and replicas of the topics.</p>
+</p></li><li id="mrs_01_0377__le3908936f5fa467bb06bda1d82521b2b"><span>Click the desired topic in the list to view its details.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0375.html">Using Kafka</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0378.html b/docs/mrs/component-operation-guide/mrs_01_0378.html
new file mode 100644
index 000000000..3063eda02
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0378.html
@@ -0,0 +1,80 @@
+<a name="mrs_01_0378"></a><a name="mrs_01_0378"></a>
+
+<h1 class="topictitle1">Managing Kafka User Permissions</h1>
+<div id="body1589421630454"><div class="section" id="mrs_01_0378__se728d030bf0f499989fe2e36267d8a4a"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0378__a67d7c9a1185c4e6783fb577ef1c69ff6">For clusters with Kerberos authentication enabled, using Kafka requires relevant permissions. MRS clusters can grant the use permission of Kafka to different users.</p>
+<p id="mrs_01_0378__a728be99f1a884e0ea9e948c5d4c9d2ec"><a href="#mrs_01_0378__t5ed4e7771fac4113ad733d56146a3b07">Table 1</a> lists the default Kafka user groups.</p>
+<div class="note" id="mrs_01_0378__note128399218910"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0378__p78394211694">In MRS 3.<em id="mrs_01_0378__i1881121021015">x</em> or later, Kafka supports two types of authentication plug-ins: Kafka open source authentication plug-in and Ranger authentication plug-in.</p>
+<p id="mrs_01_0378__p7895184216101">This section describes the user permission management based on the Kafka open source authentication plug-in. For details about how to use the Ranger authentication plug-in, see <a href="mrs_01_1861.html">Adding a Ranger Access Permission Policy for Kafka</a>.</p>
+</div></div>
+
+<div class="tablenoborder"><a name="mrs_01_0378__t5ed4e7771fac4113ad733d56146a3b07"></a><a name="t5ed4e7771fac4113ad733d56146a3b07"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0378__t5ed4e7771fac4113ad733d56146a3b07" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Default Kafka user groups</caption><thead align="left"><tr id="mrs_01_0378__r076853725c81491db89e57a4219e1eb8"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.1.5.2.3.1.1"><p id="mrs_01_0378__a1c64627b000143f5816333b8e6e9f12f">User Group</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="75%" id="mcps1.3.1.5.2.3.1.2"><p id="mrs_01_0378__a57b26b6571eb4b89956de7fca6e77437">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0378__r414ece5231214e59807da3d66140d6ed"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.1.5.2.3.1.1 "><p id="mrs_01_0378__a2afbbea3ec4343ab8cae589a41d39de9">kafkaadmin</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.1.5.2.3.1.2 "><p id="mrs_01_0378__a8837e02cee8c4e289282d8ddc9e40a9a">Kafka administrator group. Users in this group have the permissions to create, delete, read, and write all topics, and authorize other users.</p>
+</td>
+</tr>
+<tr id="mrs_01_0378__r4c54cddfd5bf4f7185beebba3b0abba7"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.1.5.2.3.1.1 "><p id="mrs_01_0378__ab2cd4dbea3184549b76509057a1f2789">kafkasuperuser</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.1.5.2.3.1.2 "><p id="mrs_01_0378__aab404a111ec7473594a1ce99c4aa29d4">Kafka super user group. Users in this group have the permissions to read and write all topics.</p>
+</td>
+</tr>
+<tr id="mrs_01_0378__ra0878debfa1f4e5f9aeee2270a86f301"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.1.5.2.3.1.1 "><p id="mrs_01_0378__aa07efdb47cd940638fa4dc5d7d90d5be">kafka</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.1.5.2.3.1.2 "><p id="mrs_01_0378__en-us_topic_0054328609_p85436155921">Kafka common user group. Users in this group can access a topic only when they are granted with the read and write permissions of the topic by a user in the <strong id="mrs_01_0378__b8487135662612">kafkaadmin</strong> group.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_0378__sa4b650e4d82344e6adca63da0d91dc47"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_0378__u3e554e8c3bb5434fa0467a72609be051"><li id="mrs_01_0378__l38d936d6e35d4d11bf04e56793bfe44d">You have installed the Kafka client.</li><li id="mrs_01_0378__l75de8d0cabba458481922c643cd5fff2">A user in the <strong id="mrs_01_0378__en-us_topic_0054328609_b842352706173416">kafkaadmin</strong> group, for example <span class="parmname" id="mrs_01_0378__en-us_topic_0054328609_parmname655361671173429"><b>admin</b></span>, has been prepared.</li></ul>
+</div>
+<div class="section" id="mrs_01_0378__sbb525980438c497999b816161b9eb948"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0378__oe90c7195051d4284ad4a84b0b406ae28"><li id="mrs_01_0378__li27231426191411"><span>Access the ZooKeeper instance page.</span><p><ul id="mrs_01_0378__en-us_topic_0264266588_ul1692910323486"><li id="mrs_01_0378__en-us_topic_0264266588_li792916322486">For versions earlier than MRS 1.9.2, log in to MRS Manager and choose <strong id="mrs_01_0378__en-us_topic_0264266588_b1584916171418">Services</strong> &gt; <strong id="mrs_01_0378__en-us_topic_0264266588_b2090181614141">ZooKeeper</strong> &gt; <strong id="mrs_01_0378__en-us_topic_0264266588_b179071612143">Instance</strong>.</li><li id="mrs_01_0378__en-us_topic_0264266588_li979413816488">For MRS 1.9.2 or later to versions earlier than 3.x, click the cluster name on the MRS console and choose <strong id="mrs_01_0378__en-us_topic_0264266588_b56141727181418">Components</strong> &gt; <strong id="mrs_01_0378__en-us_topic_0264266588_b562032781420">ZooKeeper</strong> &gt; <strong id="mrs_01_0378__en-us_topic_0264266588_b2620122751416">Instances</strong>.<div class="note" id="mrs_01_0378__en-us_topic_0264266588_note1664505711110"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0378__en-us_topic_0264266588_p158007468574">If the <strong id="mrs_01_0378__en-us_topic_0264266588_b33924111304">Components</strong> tab is unavailable, complete IAM user synchronization first. (On the <strong id="mrs_01_0378__en-us_topic_0264266588_b1239291112016">Dashboard</strong> page, click <strong id="mrs_01_0378__en-us_topic_0264266588_b939315111101">Synchronize</strong> on the right side of <span class="parmname" id="mrs_01_0378__en-us_topic_0264266588_parmname73938113016"><b>IAM User Sync</b></span> to synchronize IAM users.)</p>
+</div></div>
+</li></ul>
+</p></li><li id="mrs_01_0378__l1b2311966a2b45e8b89eec6e46478372"><span>View the IP addresses of the ZooKeeper role instance.</span><p><p id="mrs_01_0378__a2ef0c9ccf84f41bf82af2d504218c7bb">Record the IP address of any ZooKeeper instance.</p>
+</p></li><li id="mrs_01_0378__l2f71626fdcd944b3987337bc4733d4d3"><span>Prepare the client based on service requirements. Log in to the node where the client is installed.</span></li><li id="mrs_01_0378__lbaf8c7cd92314989820b7e5799998fd3"><span>Run the following command to switch to the client directory, for example, <strong id="mrs_01_0378__b939110259257">/opt</strong><strong id="mrs_01_0378__b1739152522516"></strong><strong id="mrs_01_0378__b1039142552510">/client/Kafka/kafka/bin</strong>.</span><p><p id="mrs_01_0378__a8e2acbe143ca4f3c882445849b6a38f3"><strong id="mrs_01_0378__abdecb33a58524f6393d2c186ec138d2e">cd /opt/client/Kafka/kafka/bin</strong></p>
+</p></li><li id="mrs_01_0378__l8020db1c359046149f1ea26c452496ca"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_0378__a6558e0dcc8c74d3abf07cf74af445a33"><strong id="mrs_01_0378__ab7997366dcbb4ae9af657dd7e4ac2b75">source /opt/client/bigdata_env</strong></p>
+</p></li><li id="mrs_01_0378__le4d4b63c524844a1a58794799a48d6c3"><span>Run the following command to authenticate the user(skip this step in normal mode):</span><p><p id="mrs_01_0378__ae3c72ae18af24d61bb433860c3f1e8b9"><strong id="mrs_01_0378__ad3841c7d5ad449ecbc0c14d42918dcd0">kinit</strong> <em id="mrs_01_0378__a43a78ea98dca422eb559ae34bbb7767e">Component service user</em></p>
+</p></li><li id="mrs_01_0378__lcbcefab0c90349048ac13216de186200"><span>Versions earlier than MRS 3.x: Select the scenario required by the service and manage Kafka user permissions.</span><p><ul id="mrs_01_0378__u4b8dbfc0bb744862a80e377709ea9d95"><li id="mrs_01_0378__l64bd1cc0555a44f9a4f493b14855a280">Querying the permission list of a topic<p id="mrs_01_0378__ac05fd925c929445ead6f38add777988b"><a name="mrs_01_0378__l64bd1cc0555a44f9a4f493b14855a280"></a><a name="l64bd1cc0555a44f9a4f493b14855a280"></a><strong id="mrs_01_0378__b5468138133810">sh kafka-acls.sh --authorizer-properties zookeeper.connect=<em id="mrs_01_0378__i5468123813814">IP address of the node where the ZooKeeper instance resides</em>:2181/kafka --list --topic</strong> <em id="mrs_01_0378__a53a6d680f9af4af3b1c4a3c6390f5daa"><strong id="mrs_01_0378__en-us_topic_0054328609_b764041172715">Topic name</strong></em></p>
+</li><li id="mrs_01_0378__l72a712af134e486b82056354f995bb5d">Adding producer permission to a user<p id="mrs_01_0378__a703b5ed0354749dbb93ffc4ae90ee8e9"><a name="mrs_01_0378__l72a712af134e486b82056354f995bb5d"></a><a name="l72a712af134e486b82056354f995bb5d"></a><strong id="mrs_01_0378__en-us_topic_0054328609_b166345520210">sh kafka-acls.sh --authorizer-properties zookeeper.connect=</strong><em id="mrs_01_0378__en-us_topic_0054328609_i645507316271"><strong id="mrs_01_0378__en-us_topic_0054328609_b836473716271">IP address of the node where the ZooKeeper instance resides</strong></em><strong id="mrs_01_0378__a55b20295508943d9a21bb08b3427fb63">:2181/kafka --add --allow-principal User:</strong><em id="mrs_01_0378__a13b2197ff4f84892b9b5f8e67102be86"><strong id="mrs_01_0378__aaa6b795298e7413894dcb408a9faf344">Username</strong></em> <strong id="mrs_01_0378__b1022820548385">--producer --topic</strong> <em id="mrs_01_0378__ad521e2067f65495690adb73cab1f26a8"><strong id="mrs_01_0378__a75435dcf21684fecbb49fe60c858b3f8">Topic name</strong></em></p>
+</li><li id="mrs_01_0378__l0b6a172e86b342b48e070e5587540e8c">Removing producer permission of a user<p id="mrs_01_0378__a337da8311edc41c4ba6daaf145176744"><a name="mrs_01_0378__l0b6a172e86b342b48e070e5587540e8c"></a><a name="l0b6a172e86b342b48e070e5587540e8c"></a><strong id="mrs_01_0378__b475043911489">sh kafka-acls.sh --authorizer-properties zookeeper.connect=</strong><em id="mrs_01_0378__i1875163913485"><strong id="mrs_01_0378__b14751113910488">IP address of the node where the ZooKeeper instance resides</strong></em><strong id="mrs_01_0378__b9751143914818">:2181/kafka --remove --allow-principal User:</strong><em id="mrs_01_0378__i1375273984815"><strong id="mrs_01_0378__b87521939104814">Username</strong></em> <strong id="mrs_01_0378__b47529398489">--producer --topic</strong> <em id="mrs_01_0378__i9753939104818"><strong id="mrs_01_0378__b107521739144818">Topic name</strong></em></p>
+</li><li id="mrs_01_0378__leef5f2e6967c4e8a9809b383712fab8f">Adding consumer permission to a user<p id="mrs_01_0378__a4ec073cfe0b2492099e924be6b1339ab"><a name="mrs_01_0378__leef5f2e6967c4e8a9809b383712fab8f"></a><a name="leef5f2e6967c4e8a9809b383712fab8f"></a><strong id="mrs_01_0378__b76941359154812">sh kafka-acls.sh --authorizer-properties zookeeper.connect=</strong><em id="mrs_01_0378__i17695135974818"><strong id="mrs_01_0378__b14694155984811">IP address of the node where the ZooKeeper instance resides</strong></em><strong id="mrs_01_0378__b19695125918481">:2181/kafka --add --allow-principal User:</strong><em id="mrs_01_0378__i76967598486"><strong id="mrs_01_0378__b669685944815">Username</strong></em> <strong id="mrs_01_0378__b2013012198396">--consumer --topic</strong> <em id="mrs_01_0378__a9d7f8cabb884427fb860b79e8c769be0"><strong id="mrs_01_0378__ab589a591fce94a3a8847cccb78342302">Topic name</strong></em> <strong id="mrs_01_0378__b1142416335391">--group</strong> <em id="mrs_01_0378__a69421a18374946ef8df4a4cc2830cb89"><strong id="mrs_01_0378__a96bf24314abd4dd79180136d9eac9412">Consumer group name</strong></em></p>
+</li><li id="mrs_01_0378__lbe70fc82116d420ba52af7c3da5ecba8">Removing consumer permission of a user<p id="mrs_01_0378__a8e0dc07e1a694f60857a184f994d2aae"><a name="mrs_01_0378__lbe70fc82116d420ba52af7c3da5ecba8"></a><a name="lbe70fc82116d420ba52af7c3da5ecba8"></a><strong id="mrs_01_0378__b1697073317410">sh kafka-acls.sh --authorizer-properties zookeeper.connect=</strong><em id="mrs_01_0378__i99711033194117"><strong id="mrs_01_0378__b9971123374117">IP address of the node where the ZooKeeper instance resides</strong></em><strong id="mrs_01_0378__b2971533144119">:2181/kafka --remove --allow-principal User:</strong><em id="mrs_01_0378__i11972133384116"><strong id="mrs_01_0378__b10972123313417">Username</strong></em> <strong id="mrs_01_0378__b89724336419">--consumer --topic</strong> <em id="mrs_01_0378__i5973153316411"><strong id="mrs_01_0378__b1597393310412">Topic name</strong></em> <strong id="mrs_01_0378__b199731933104112">--group</strong> <em id="mrs_01_0378__i7973333144110"><strong id="mrs_01_0378__b16973193394113">Consumer group name</strong></em></p>
+</li></ul>
+<div class="note" id="mrs_01_0378__nf5034be2b2f049a7b732a83e92765f03"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0378__a6e80e89da95748278678ae59f5ba9be5">You need to enter <span class="parmvalue" id="mrs_01_0378__p0940378edefd491b8551bf5731af329c"><b>y</b></span> twice to confirm the removal of permission.</p>
+<p id="mrs_01_0378__p1052717376567">For MRS 1.6.2 or earlier, the value of ZooKeeper's <strong id="mrs_01_0378__b141601531144213">clientPort</strong> defaults to <strong id="mrs_01_0378__b1816543184211">24002</strong>.</p>
+</div></div>
+</p></li><li id="mrs_01_0378__li16914841132014"><span>MRS 3.<em id="mrs_01_0378__i19194821645">x</em> and later versions: The following table lists the common commands used for user authorization when <strong id="mrs_01_0378__b2454427746">kafka-acl.sh</strong> is used.</span><p><ul id="mrs_01_0378__ul187821349211"><li id="mrs_01_0378__lee1476e09b3b44e0850cf37ae162f18f">View the permission control list of a topic:<p id="mrs_01_0378__acdce9ee78075442b87b88712c748b318"><a name="mrs_01_0378__lee1476e09b3b44e0850cf37ae162f18f"></a><a name="lee1476e09b3b44e0850cf37ae162f18f"></a><strong id="mrs_01_0378__b49568523134">./kafka-acls.sh --authorizer-properties zookeeper.connect=</strong><em id="mrs_01_0378__i11129171914418">&lt;Service IP address of any ZooKeeper node</em><strong id="mrs_01_0378__b1389118298315">:</strong><strong id="mrs_01_0378__b209391147234">2181</strong><strong id="mrs_01_0378__b131675113416">/kafka</strong> <em id="mrs_01_0378__i350817141748">&gt;</em><strong id="mrs_01_0378__b6602645341"> --list --topic </strong><em id="mrs_01_0378__i91631950644">&lt;Topic name&gt;</em></p>
+<p id="mrs_01_0378__p2941102216438"><strong id="mrs_01_0378__b456615751311">./kafka-acls.sh --bootstrap-server</strong> &lt;<em id="mrs_01_0378__i0570175710134">IP address of the Kafka</em><em id="mrs_01_0378__i125708579136">cluster:21007&gt;</em><strong id="mrs_01_0378__b11182253142"> --command-config ../config/client.properties --list --topic </strong>&lt;<em id="mrs_01_0378__i518420591415">topic</em><em id="mrs_01_0378__i61854571418"> name</em>&gt;</p>
+</li><li id="mrs_01_0378__lca0fd7f2388045b488a70eb6cff1d31b">Add the Producer permission for a user:<p id="mrs_01_0378__ac1f3a9bfa464425f81e785b0b8853d18"><a name="mrs_01_0378__lca0fd7f2388045b488a70eb6cff1d31b"></a><a name="lca0fd7f2388045b488a70eb6cff1d31b"></a><strong id="mrs_01_0378__b198291214161410">./kafka-acls.sh --authorizer-properties zookeeper.connect=</strong><em id="mrs_01_0378__i156412315615">&lt;Service IP address of any ZooKeeper node</em><strong id="mrs_01_0378__b19271035867">:</strong><strong id="mrs_01_0378__b1093835512514">2181</strong><strong id="mrs_01_0378__b713913461568">/kafka &gt; --add --allow-principal User:</strong><em id="mrs_01_0378__i1420320265615">&lt;Username&gt;</em><strong id="mrs_01_0378__b143215515620"> --producer --topic </strong><em id="mrs_01_0378__i1975652117614">&lt;Topic name&gt;</em></p>
+<p id="mrs_01_0378__p15909633154418"><strong id="mrs_01_0378__b17724228127">./kafka-acls.sh --bootstrap-server </strong>&lt;<em id="mrs_01_0378__i1645902818143">IP address of the Kafka</em><em id="mrs_01_0378__i8459172817147">cluster:21007&gt;</em><strong id="mrs_01_0378__b47244291212"> --command-config ../config/client.properties --add --allow-principal User:</strong><em id="mrs_01_0378__i1970143311142">&lt;</em><em id="mrs_01_0378__i13702433111410">username&gt;</em><strong id="mrs_01_0378__b145291637141415"> --producer --topic </strong>&lt;<em id="mrs_01_0378__i1453314377143">topic</em><em id="mrs_01_0378__i1753393711413"> name</em>&gt;</p>
+</li><li id="mrs_01_0378__li207401049204816">Assign the Producer permission to a user in batches.<p id="mrs_01_0378__p9608523134012"><a name="mrs_01_0378__li207401049204816"></a><a name="li207401049204816"></a><strong id="mrs_01_0378__b1527711419429">./kafka-acls.sh --authorizer-properties zookeeper.connect=</strong><em id="mrs_01_0378__i1949126487">&lt;Service IP address of any ZooKeeper node</em><strong id="mrs_01_0378__b0757793820">:</strong><strong id="mrs_01_0378__b1591442715">2181</strong><strong id="mrs_01_0378__b858001712812">/kafka &gt; </strong><strong id="mrs_01_0378__b4144454171418">--add --allow-principal User:</strong><em id="mrs_01_0378__i10145145421414">&lt;</em><em id="mrs_01_0378__i214613546148">Username&gt;</em><strong id="mrs_01_0378__b12674157171413"> --producer --topic </strong><em id="mrs_01_0378__i6873181111513">&lt;Topic name&gt;</em><strong id="mrs_01_0378__b14675957161413"> --resource-pattern-type prefixed</strong></p>
+<p id="mrs_01_0378__p9439145511488"><strong id="mrs_01_0378__b4163713158">./kafka-acls.sh --bootstrap-server</strong> &lt;<em id="mrs_01_0378__i1121775154">IP address of the Kafka</em><em id="mrs_01_0378__i112187131511">cluster:21007&gt;</em><strong id="mrs_01_0378__b192131639114913"> --command-config ../config/client.properties --add --allow-principal User:</strong><em id="mrs_01_0378__i34521211181510">&lt;</em><em id="mrs_01_0378__i545241111153">username&gt;</em><strong id="mrs_01_0378__b32131539144918"> --producer --topic </strong><em id="mrs_01_0378__i12171111616156">&lt;topic name&gt;</em><strong id="mrs_01_0378__b14213539124910">--resource-pattern-type prefixed</strong></p>
+</li><li id="mrs_01_0378__l32544276c38b4f6f8ce5d43e93ea8bcf">Remove the Producer permission from a user:<p id="mrs_01_0378__ab0390c087a5c4695b28aff88a14ae5e3"><a name="mrs_01_0378__l32544276c38b4f6f8ce5d43e93ea8bcf"></a><a name="l32544276c38b4f6f8ce5d43e93ea8bcf"></a><strong id="mrs_01_0378__b1741332182519">./kafka-acls.sh --authorizer-properties zookeeper.connect=</strong><em id="mrs_01_0378__i249481524910">&lt;Service IP adddress of any ZooKeeper node</em><strong id="mrs_01_0378__b201151047174811">:</strong><strong id="mrs_01_0378__b721633920480">2181</strong><strong id="mrs_01_0378__b12114161804819">/kafka &gt; --remove --allow-principal User:</strong><em id="mrs_01_0378__i31171514815">&lt;Username&gt;</em><strong id="mrs_01_0378__b757826164815"> --producer --topic </strong><em id="mrs_01_0378__i1046219540476">&lt;Topic name&gt;</em></p>
+<p id="mrs_01_0378__p41413154617"><strong id="mrs_01_0378__b23263712120">./kafka-acls.sh --bootstrap-server </strong>&lt;<em id="mrs_01_0378__i08271447172512">IP address of the Kafka</em><em id="mrs_01_0378__i182744719255">cluster:21007&gt;</em><strong id="mrs_01_0378__b1132614741210"> --command-config ../config/client.properties --remove --allow-principal User:</strong><em id="mrs_01_0378__i12841812270">&lt;</em><em id="mrs_01_0378__i16841314274">username&gt;</em> <strong id="mrs_01_0378__b18218112716">--producer --topic </strong>&lt;<em id="mrs_01_0378__i10652113413262">topic</em><em id="mrs_01_0378__i19652123417266"> name</em>&gt;</p>
+</li><li id="mrs_01_0378__li1113013481505">Delete the Producer permission of a user in batches:<p id="mrs_01_0378__p94478365017"><a name="mrs_01_0378__li1113013481505"></a><a name="li1113013481505"></a><strong id="mrs_01_0378__b2519351175020">./kafka-acls.sh --authorizer-properties zookeeper.connect=</strong><em id="mrs_01_0378__i19268325111318">&lt;Service IP address of any ZooKeeper node</em><strong id="mrs_01_0378__b426112915134">:</strong><strong id="mrs_01_0378__b15110115131313">2181</strong><strong id="mrs_01_0378__b165114549172">/kafka &gt;</strong><strong id="mrs_01_0378__b11204151314411"> --remove --allow-principal User:</strong><em id="mrs_01_0378__i1721011344414">&lt;</em><em id="mrs_01_0378__i12109135445">Username&gt;</em><strong id="mrs_01_0378__b133201917154415"> --producer --topic </strong><em id="mrs_01_0378__i1695616173446">&lt;Topic name&gt;</em><strong id="mrs_01_0378__b1932081714442"> --resource-pattern-type prefixed</strong></p>
+<p id="mrs_01_0378__p125191051175019"><strong id="mrs_01_0378__b762062215444">./kafka-acls.sh --bootstrap-server</strong> &lt;<em id="mrs_01_0378__i146448227441">IP address of the Kafka</em><em id="mrs_01_0378__i10644182214414">cluster:21007&gt;</em><strong id="mrs_01_0378__b17519185115013"> --command-config ../config/client.properties --remove --allow-principal User:</strong><em id="mrs_01_0378__i1581373114413">&lt;</em><em id="mrs_01_0378__i9813203113443">username&gt;</em><strong id="mrs_01_0378__b85192512508"> --producer --topic </strong><em id="mrs_01_0378__i12741928164419">&lt;topic name&gt;</em><strong id="mrs_01_0378__b4519185135011">--resource-pattern-type prefixed</strong></p>
+</li><li id="mrs_01_0378__ld666ea75c53e497d8939215f7f4f968f">Add the Consumer permission for a user:<p id="mrs_01_0378__a4647349a70df45f9b88da28b01744044"><a name="mrs_01_0378__ld666ea75c53e497d8939215f7f4f968f"></a><a name="ld666ea75c53e497d8939215f7f4f968f"></a><strong id="mrs_01_0378__b1038917127463">./kafka-acls.sh --authorizer-properties zookeeper.connect=</strong><em id="mrs_01_0378__i1388010594132">&lt;Service IP address of any ZooKeeper node</em><strong id="mrs_01_0378__b1533410391412">:</strong><strong id="mrs_01_0378__b62911918142">2181</strong><strong id="mrs_01_0378__b521917394173">/kafka &gt;</strong><strong id="mrs_01_0378__b43892129466"> --add --allow-principal User:</strong><em id="mrs_01_0378__i11615112004511">&lt;</em><em id="mrs_01_0378__i1661619202458">Username&gt;</em><strong id="mrs_01_0378__b1175993924616"> --consumer --topic</strong> <em id="mrs_01_0378__i876115395462">&lt;Topic</em><em id="mrs_01_0378__i1476117394462">name&gt;</em><strong id="mrs_01_0378__b73931844184614"> --group </strong><em id="mrs_01_0378__i10397184494617">&lt;</em><em id="mrs_01_0378__i1139744410467">Consumer group name&gt;</em></p>
+<p id="mrs_01_0378__p928618147468"><strong id="mrs_01_0378__b1188141218129">./kafka-acls.sh --bootstrap-server </strong>&lt;<em id="mrs_01_0378__i699155584616">IP address of the Kafka</em><em id="mrs_01_0378__i149925554610">cluster:21007&gt;</em><strong id="mrs_01_0378__b48891212125"> --command-config ../config/client.properties --add --allow-principal User:</strong><em id="mrs_01_0378__i642672354519">&lt;</em><em id="mrs_01_0378__i3426132334517">username&gt;</em><strong id="mrs_01_0378__b93377219470"> --consumer --topic </strong><em id="mrs_01_0378__i1933920234717">&lt;topic</em><em id="mrs_01_0378__i8339182124713">name&gt;</em><strong id="mrs_01_0378__b166212524717"> --group </strong><em id="mrs_01_0378__i14631555472">&lt;</em><em id="mrs_01_0378__i196319544713">consumer group name&gt;</em></p>
+</li><li id="mrs_01_0378__li15771843125210">Add consumer permissions to a user in batches:<p id="mrs_01_0378__p34321257115419"><a name="mrs_01_0378__li15771843125210"></a><a name="li15771843125210"></a><strong id="mrs_01_0378__b1622611125515">./kafka-acls.sh </strong><strong id="mrs_01_0378__b1827787155518">--authorizer-properties zookeeper.connect=</strong><em id="mrs_01_0378__i81781644151517">&lt;Service IP address of any ZooKeeper node</em><strong id="mrs_01_0378__b8376174921513">:</strong><strong id="mrs_01_0378__b1062410891514">2181</strong><strong id="mrs_01_0378__b27281283174">/kafka &gt;</strong><strong id="mrs_01_0378__b4622111165517"> --add --allow-principal User:</strong><em id="mrs_01_0378__i3367625194513">&lt;</em><em id="mrs_01_0378__i93678253454">Username&gt;</em><strong id="mrs_01_0378__b1162219114556"> --consumer --topic </strong><em id="mrs_01_0378__i1622217244476">&lt;Topic</em><em id="mrs_01_0378__i72221224124710"> name&gt;</em><strong id="mrs_01_0378__b106221511145510"> --group </strong><em id="mrs_01_0378__i12392132774716">&lt;</em><em id="mrs_01_0378__i1139282720477">Consumer group name&gt;</em><strong id="mrs_01_0378__b196221811165519"> --resource-pattern-type prefixed</strong></p>
+<p id="mrs_01_0378__p8545125414543"><strong id="mrs_01_0378__b17638171195510">./kafka-acls.sh --bootstrap-server </strong>&lt;<em id="mrs_01_0378__i1252163134712">IP address of the Kafka</em><em id="mrs_01_0378__i852153154712">cluster:21007&gt;</em><strong id="mrs_01_0378__b146381011125511"> --command-config ../config/client.properties --add --allow-principal User:</strong><em id="mrs_01_0378__i203552279456">&lt;</em><em id="mrs_01_0378__i19355172754512">username&gt;</em><strong id="mrs_01_0378__b18638121115518"> --consumer --topic </strong><em id="mrs_01_0378__i19165536184713">&lt;topic</em><em id="mrs_01_0378__i1916553604717">name&gt;</em><strong id="mrs_01_0378__b1763811118551"> --group </strong><em id="mrs_01_0378__i84201739164714">&lt;</em><em id="mrs_01_0378__i5420739164717">consumer group name&gt;</em><strong id="mrs_01_0378__b7638161145511"> --resource-pattern-type prefixed</strong></p>
+</li><li id="mrs_01_0378__l1b691695d16c43dc8f4e034424635a85">Remove the consumer permission from a user:<p id="mrs_01_0378__aab879e8b40594d3aa5ce4dae6f293d86"><a name="mrs_01_0378__l1b691695d16c43dc8f4e034424635a85"></a><a name="l1b691695d16c43dc8f4e034424635a85"></a><strong id="mrs_01_0378__b835417457479">./kafka-acls.sh --authorizer-properties zookeeper.connect=</strong><em id="mrs_01_0378__i66645224167">&lt;Service IP address of any ZooKeeper node</em><strong id="mrs_01_0378__b107601426181618">:</strong><strong id="mrs_01_0378__b12591232131615">2181</strong><strong id="mrs_01_0378__b4398163511166">/kafka &gt;</strong><strong id="mrs_01_0378__b63544452473"> --remove --allow-principal User:</strong><em id="mrs_01_0378__i1781113584515">&lt;</em><em id="mrs_01_0378__i1881153510453">Username&gt;</em><strong id="mrs_01_0378__b138204913479"> --consumer --topic</strong> <em id="mrs_01_0378__i121010497471">&lt;Topic</em><em id="mrs_01_0378__i31013492475"> name&gt;</em><strong id="mrs_01_0378__b261010527478"> --group </strong><em id="mrs_01_0378__i261115216474">&lt;</em><em id="mrs_01_0378__i7611155234710">Consumer group name&gt;</em></p>
+<p id="mrs_01_0378__p10789160124813"><strong id="mrs_01_0378__b1349631681217">./kafka-acls.sh --bootstrap-server </strong>&lt;<em id="mrs_01_0378__i198620561471">IP address of the Kafka</em><em id="mrs_01_0378__i12986856164715">cluster:21007&gt;</em><strong id="mrs_01_0378__b1849611165126"> --command-config ../config/client.properties --remove --allow-principal User:</strong><em id="mrs_01_0378__i138501239114514">&lt;</em><em id="mrs_01_0378__i885023913456">username&gt;</em><strong id="mrs_01_0378__b3789191204819"><em id="mrs_01_0378__i17789161134816"> --consumer --topic </em></strong><em id="mrs_01_0378__i137911619481">&lt;topic name&gt;</em><strong id="mrs_01_0378__b1149661661218"> </strong><strong id="mrs_01_0378__b468617424820">--group </strong><em id="mrs_01_0378__i068816415482">&lt;</em><em id="mrs_01_0378__i1688349489">consumer group name&gt;</em></p>
+</li><li id="mrs_01_0378__li732623475616">Delete the consumer permission of a user in batches:<p id="mrs_01_0378__p164569485620"><a name="mrs_01_0378__li732623475616"></a><a name="li732623475616"></a><strong id="mrs_01_0378__b04561644567">./kafka-acls.sh </strong><strong id="mrs_01_0378__b15456248569">--authorizer-properties zookeeper.connect=</strong><em id="mrs_01_0378__i1821173610194">&lt;Service IP address of any ZooKeeper node</em><strong id="mrs_01_0378__b290933891910">:</strong><strong id="mrs_01_0378__b159418442192">2181</strong><strong id="mrs_01_0378__b159141647111918">/kafka &gt;</strong><strong id="mrs_01_0378__b154571547563"> --remove --allow-principal User:</strong><em id="mrs_01_0378__i10628341154513">&lt;</em><em id="mrs_01_0378__i14628341144519">Username&gt;</em><strong id="mrs_01_0378__b2457247563"> --consumer --topic </strong><em id="mrs_01_0378__i128781318194810">&lt;Topic</em><em id="mrs_01_0378__i18781018154810"> name&gt;</em><strong id="mrs_01_0378__b34578455610"> --group </strong><em id="mrs_01_0378__i1727832264813">&lt;</em><em id="mrs_01_0378__i4279162294813">Consumer group name&gt;</em><strong id="mrs_01_0378__b154572419563"> --resource-pattern-type prefixed</strong></p>
+<p id="mrs_01_0378__p24574485610"><strong id="mrs_01_0378__b1445712415619">./kafka-acls.sh --bootstrap-server </strong>&lt;<em id="mrs_01_0378__i686912268484">IP address of the Kafka</em><em id="mrs_01_0378__i10869142610485">cluster:21007&gt;</em><strong id="mrs_01_0378__b645717475615"> --command-config ../config/client.properties --remove --allow-principal User:</strong><em id="mrs_01_0378__i93969438455">&lt;</em><em id="mrs_01_0378__i18396144384515">username&gt;</em><strong id="mrs_01_0378__b1245718414568"> --consumer --topic </strong><em id="mrs_01_0378__i15558333480">&lt;topic</em><em id="mrs_01_0378__i85523317485">name&gt;</em><strong id="mrs_01_0378__b184579415567"> --group </strong><em id="mrs_01_0378__i1660593614818">&lt;</em><em id="mrs_01_0378__i116057362486">consumer group name&gt;</em><strong id="mrs_01_0378__b6457194165618"> --resource-pattern-type prefixed</strong></p>
+</li></ul>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0375.html">Using Kafka</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0379.html b/docs/mrs/component-operation-guide/mrs_01_0379.html
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+<a name="mrs_01_0379"></a><a name="mrs_01_0379"></a>
+
+<h1 class="topictitle1">Managing Messages in Kafka Topics</h1>
+<div id="body1589421630459"><div class="section" id="mrs_01_0379__s97aa33d045f046bb9c1d9907172b3db2"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0379__a5d6cb2522caf46b6ae5e00750c6f3d83">You can produce or consume messages in Kafka topics using the MRS cluster client. For clusters with Kerberos authentication enabled, you must have the permission to perform these operations.</p>
+</div>
+<div class="section" id="mrs_01_0379__sa5c652338d284a47ad73fc0e957155c5"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_0379__a1acbd534cd91469080e7578d5bafdc50">You have installed the Kafka client.</p>
+</div>
+<div class="section" id="mrs_01_0379__s87eef4ea94af42b7944cf554191823a4"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0379__o734dac617c7c4e8dadaf85650ff773b7"><li id="mrs_01_0379__li13806122116487"><span>Go to the Kafka service page.</span><p><ul id="mrs_01_0379__en-us_topic_0264265925_ul1692910323486"><li id="mrs_01_0379__en-us_topic_0264265925_li792916322486">For versions earlier than MRS 1.9.2, log in to MRS Manager and choose <strong id="mrs_01_0379__en-us_topic_0264265925_b699115497148">Services</strong> &gt; <strong id="mrs_01_0379__en-us_topic_0264265925_b181218241519">Kafka</strong>.</li><li id="mrs_01_0379__en-us_topic_0264265925_li979413816488">For MRS 1.9.2 or later, click the cluster name on the MRS console and choose <strong id="mrs_01_0379__en-us_topic_0264265925_b97122019159">Components</strong> &gt; <strong id="mrs_01_0379__en-us_topic_0264265925_b113132021514">Kafka</strong>.<div class="note" id="mrs_01_0379__en-us_topic_0264265925_note1103203791311"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0379__en-us_topic_0264265925_p15841154717426">If the <strong id="mrs_01_0379__en-us_topic_0264265925_b430410223013">Components</strong> tab is unavailable, complete IAM user synchronization first. (On the <strong id="mrs_01_0379__en-us_topic_0264265925_b1830414223017">Dashboard</strong> page, click <strong id="mrs_01_0379__en-us_topic_0264265925_b0304142215011">Synchronize</strong> on the right side of <span class="parmname" id="mrs_01_0379__en-us_topic_0264265925_parmname73054228016"><b>IAM User Sync</b></span> to synchronize IAM users.)</p>
+</div></div>
+</li><li id="mrs_01_0379__en-us_topic_0264265925_li13471132141315">For MRS 3.<em id="mrs_01_0379__en-us_topic_0264265925_i2094017447543">x</em> or later, log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. Choose <strong id="mrs_01_0379__en-us_topic_0264265925_b77193404157">Cluster</strong> &gt; <em id="mrs_01_0379__en-us_topic_0264265925_i197251400151">Name of the desired cluster</em> &gt; <strong id="mrs_01_0379__en-us_topic_0264265925_b13726154031515">Services</strong> &gt; <strong id="mrs_01_0379__en-us_topic_0264265925_b17726114041512">Kafka</strong>.</li></ul>
+</p></li><li id="mrs_01_0379__l17ba03ec896f47d8a5c53b1e8f726441"><span>Click <span class="uicontrol" id="mrs_01_0379__uicontrol1334161117819"><b>instance</b></span>. Query the IP addresses of the Kafka instances.</span><p><p id="mrs_01_0379__ac99617dfc17b4cd89397cfb63d2de888">Record the IP address of any Kafka instance.</p>
+</p></li><li id="mrs_01_0379__lc99c3810794b4305a8805127c0448528"><span>Prepare the client based on service requirements. Log in to the node where the client is installed.</span></li><li id="mrs_01_0379__l43ebcdf0488f43aa8a6dc5925fa6d624"><span>Run the following command to switch to the client directory, for example, /<strong id="mrs_01_0379__b177601388257">opt</strong><strong id="mrs_01_0379__b9760193814255"></strong><strong id="mrs_01_0379__b7760113862512">/client/Kafka/kafka/bin</strong>.</span><p><p id="mrs_01_0379__abf921a6902ab4d60bb2418a62dd04f71"><strong id="mrs_01_0379__aa2ffb20c51ca4d0bbf4035c8445d8c74">cd /opt/client/Kafka/kafka/bin</strong></p>
+</p></li><li id="mrs_01_0379__l6c733670bf264983a44af845bf95d835"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_0379__afb1d4384127a43e1b162f119632db3bd"><strong id="mrs_01_0379__ab5d39d6fe1ff4198a45fa9cb49fd05c2">source /opt/client/bigdata_env</strong></p>
+</p></li><li id="mrs_01_0379__l62c83e0a6fe7451db024ee5be8542c12"><span>For clusters with Kerberos authentication enabled, run the following command to authenticate the user. For clusters with Kerberos authentication disabled, skip this step.</span><p><p id="mrs_01_0379__a12b63597f2374ecfac281f9803f541e2"><strong id="mrs_01_0379__b12323201355115">kinit</strong> <em id="mrs_01_0379__i15328613205116">Kafka user</em></p>
+<p id="mrs_01_0379__p1517912384815">Example:</p>
+<p id="mrs_01_0379__ab973d2e6dc584ce996bd87ba46250f10"><strong id="mrs_01_0379__a310ad170e91146c897a1ba5f4e634d43">kinit admin</strong></p>
+</p></li><li id="mrs_01_0379__l4998af2788284d209339aff58f21ad42"><span>Manage messages in Kafka topics using the following commands:</span><p><ul id="mrs_01_0379__u6117f8baf6e94bf4bab52f9a13b8867a"><li id="mrs_01_0379__lb4468efc44c4410db1fdd9bed4ed5742">Producing messages<p id="mrs_01_0379__a7b38507bd22d444abfaf96672ddff8b1"><a name="mrs_01_0379__lb4468efc44c4410db1fdd9bed4ed5742"></a><a name="lb4468efc44c4410db1fdd9bed4ed5742"></a><strong id="mrs_01_0379__b136457202402">sh kafka-console-producer.sh --broker-list</strong> <em id="mrs_01_0379__ad4cb407ba2c54021864adb859619ccd3">IP address of the node where the Kafka instance resides</em><strong id="mrs_01_0379__b9444153024010">:9092 --topic</strong> <em id="mrs_01_0379__a41e4d250d37c4f70becacf0e227b9c5b">Topic name</em> <strong id="mrs_01_0379__b18571133914015">--producer.config /opt/client/Kafka/kafka/config/producer.properties</strong></p>
+<p id="mrs_01_0379__adbfec31492e84dec85245866152e21be">You can input specified information as the messages produced by the producer and then press <strong id="mrs_01_0379__en-us_topic_0054328610_b842352706145827">Enter</strong> to send the messages. To end message producing, press <span class="parmname" id="mrs_01_0379__en-us_topic_0054328610_parmname53594428115310"><b>Ctrl + C</b></span> to exit.</p>
+</li><li id="mrs_01_0379__lf644862db08e49a3a0220751b224e3f5">Consuming messages<p id="mrs_01_0379__a70e2de5e4e8f4fb1ab3d7729f99ae5b2"><a name="mrs_01_0379__lf644862db08e49a3a0220751b224e3f5"></a><a name="lf644862db08e49a3a0220751b224e3f5"></a><strong id="mrs_01_0379__b762345014018">sh kafka-console-consumer.sh --topic</strong> <em id="mrs_01_0379__a35f63752e3e94aa7abc4c0d5b680607b">Topic name</em> <strong id="mrs_01_0379__b44661734419">--bootstrap-server</strong> <em id="mrs_01_0379__a91c908b9ff4e4c9487134f1292b65532">IP address of the node where the Kafka instance resides</em><strong id="mrs_01_0379__add1bb9f278eb479288c746d3fd6ac33f">:9092  --consumer.config /opt/client/Kafka/kafka/config/consumer.properties</strong></p>
+<p id="mrs_01_0379__a1ed7692cb70141c3be5396648a495f01">In the configuration file, <span class="parmname" id="mrs_01_0379__en-us_topic_0054328610_parmname131291742291820"><b>group.id</b></span> (indicating the consumer group) is set to <span class="parmvalue" id="mrs_01_0379__en-us_topic_0054328610_parmvalue3068481691826"><b>example-group1</b></span> by default. Users can change the value as required. The value takes effect each time consumption occurs.</p>
+<p id="mrs_01_0379__aa70ea7c8ccec40f7862182db36e3d103">By default, the system reads unprocessed messages in the current consumer group when the command is executed. If a new consumer group is specified in the configuration file and the <span class="parmname" id="mrs_01_0379__en-us_topic_0054328610_parmname4937532169517"><b>--from-beginning</b></span> parameter is added to the command, the system reads all messages that have not been automatically deleted in Kafka.</p>
+</li></ul>
+<div class="note" id="mrs_01_0379__n423e2322dc654e578f61b5c2eb04c0ff"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0379__u504276addcca4640900fe37d9f5a21ce"><li id="mrs_01_0379__laae5cccb4fce48399c17d97f9c67c6ac">For the IP address of the node where the Kafka instance locates, use the IP address of any broker instance.</li><li id="mrs_01_0379__l0dbcf512675a44c8abfce63d72b0c036">If Kerberos authentication is enabled, change the port to <span class="parmvalue" id="mrs_01_0379__en-us_topic_0054328610_parmvalue37116123175139"><b>21007</b></span>.</li><li id="mrs_01_0379__li3741142312283">By default, the ZooKeeper's <span class="parmname" id="mrs_01_0379__en-us_topic_0244909890_pd3e452bfa0d24adda216f431d1bcebc0"><b>clientPort</b></span> value is <span class="parmvalue" id="mrs_01_0379__en-us_topic_0244909890_p67aea0e3f02b49829ae8bf8dea1fc2d7"><b>2<span id="mrs_01_0379__en-us_topic_0244909890_text59469239252">181</span></b></span>.<p id="mrs_01_0379__en-us_topic_0244909890_p1052717376567">For MRS 1.6.2 or earlier, the value of ZooKeeper's <strong id="mrs_01_0379__b175294223752849">clientPort</strong> defaults to <strong id="mrs_01_0379__b55170413352849">24002</strong>. For details, see <a href="https://docs.otc.t-systems.com/usermanual/mrs/mrs_01_0504.html" target="_blank" rel="noopener noreferrer">List of Open Source Component Ports</a>.</p>
+</li></ul>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0375.html">Using Kafka</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0380.html b/docs/mrs/component-operation-guide/mrs_01_0380.html
new file mode 100644
index 000000000..41c0de355
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+++ b/docs/mrs/component-operation-guide/mrs_01_0380.html
@@ -0,0 +1,31 @@
+<a name="mrs_01_0380"></a><a name="mrs_01_0380"></a>
+
+<h1 class="topictitle1">Using Storm</h1>
+<div id="body1589421630466"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1045.html">Using Storm from Scratch</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2065.html">Using the Storm Client</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0381.html">Submitting Storm Topologies on the Client</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0382.html">Accessing the Storm Web UI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0383.html">Managing Storm Topologies</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0384.html">Querying Storm Topology Logs</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1046.html">Storm Common Parameters</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1047.html">Configuring a Storm Service User Password Policy</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1048.html">Migrating Storm Services to Flink</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1053.html">Storm Log Introduction</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1054.html">Performance Tuning</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0381.html b/docs/mrs/component-operation-guide/mrs_01_0381.html
new file mode 100644
index 000000000..d97d5e64f
--- /dev/null
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@@ -0,0 +1,35 @@
+<a name="mrs_01_0381"></a><a name="mrs_01_0381"></a>
+
+<h1 class="topictitle1">Submitting Storm Topologies on the Client</h1>
+<div id="body1589421630469"><div class="section" id="mrs_01_0381__se6b7b91686f741e68713b7d1b2d44f55"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0381__acf4865e00888468eb202cfaa6d9ed14a">You can submit Storm topologies on the cluster client to continuously process stream data. For clusters with Kerberos authentication enabled, users who submit topologies must be members of the <span class="parmname" id="mrs_01_0381__parmname166046785216467"><b>stormadmin</b></span> or <span class="parmname" id="mrs_01_0381__parmname191514620016467"><b>storm</b></span> group.</p>
+</div>
+<div class="section" id="mrs_01_0381__s26390c77824e48628302cd27728a109b"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_0381__ac757846b821d4a94b74047b2c5b87bc4">The client has been updated.</p>
+
+</div>
+<div class="section" id="mrs_01_0381__s8bca61259f7943bfa5d387cbb7e90a5b"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0381__o1a1694aafb174694a4a0e67712a47f76"><li id="mrs_01_0381__l6bafa992ef354ebc8c1e16387160ae24"><span>Prepare the client based on service requirements. Log in to the node where the client is installed.</span></li><li id="mrs_01_0381__ld956f9c3c6e64b16a9b2eed2c0e4525c"><span>Run the following command to set the permissions on the topology JAR file:</span><p><p id="mrs_01_0381__ac2d4d429da9a4bbfbfc6307d74ae19d7">For example, run the following command to change the permissions on <strong id="mrs_01_0381__b36680960591442">/opt/storm/topology.jar</strong>:</p>
+<p id="mrs_01_0381__a423165c53736460383fdeb0bb6c2a715"><strong id="mrs_01_0381__b437668164411">chmod 600 /opt/<span id="mrs_01_0381__ph364712219551">storm</span>/topology.jar</strong></p>
+</p></li><li id="mrs_01_0381__ldc59b65d35af40029b69d717590c5ee1"><span>Run the following command to switch to the client directory, for example, <span class="filepath" id="mrs_01_0381__filepath1697754713612"><b>/opt/client</b></span>.</span><p><p id="mrs_01_0381__a5c7abf7d609e49daa21d689801c7665d"><strong id="mrs_01_0381__en-us_topic_0057061151_b539462609946">cd /opt/client</strong></p>
+</p></li><li id="mrs_01_0381__lb12ce87c6e7946bb9a848a19a34c9e35"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_0381__af0f6bc7c36064c379eed07a5509d2ba2"><strong id="mrs_01_0381__a867f14eb42d44d819707ead5ac2ca425">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_0381__li1557613391425"><span>If multiple Storm instances are installed, run the following command to load the environment variables of a specific instance when running the Storm command to submit the topology. Otherwise, skip this step. The following command uses the instance Storm-2 as an example.</span><p><p id="mrs_01_0381__p1497814112069"><strong id="mrs_01_0381__b81002491560">source Storm-2/</strong><strong id="mrs_01_0381__b399113614613">component_env</strong></p>
+</p></li><li id="mrs_01_0381__lb19afed2bbbf4a3d81e9242146b0ec02"><span>For clusters with Kerberos authentication enabled, run the following command to authenticate the user. For clusters with Kerberos authentication disabled, skip this step.</span><p><p id="mrs_01_0381__ae2143305619c412a820dbefd67e607b3"><strong id="mrs_01_0381__b347683414487">kinit</strong> <em id="mrs_01_0381__i12481133413483">Storm user</em></p>
+</p></li><li id="mrs_01_0381__li173182463219"><span>For versions earlier than MRS 3.x, run the following command to submit the Storm topology:</span><p><p id="mrs_01_0381__p19733132411320"><strong id="mrs_01_0381__b7651112894219">storm jar</strong> <em id="mrs_01_0381__i156561628174215">Path of the topology package Class name of the topology Main method Topology name</em></p>
+<p id="mrs_01_0381__p167476249328">If the following information is displayed, the topology is submitted successfully.</p>
+<pre class="screen" id="mrs_01_0381__screen174816248323">Finished submitting topology: topo1</pre>
+<div class="note" id="mrs_01_0381__note874819249324"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0381__ul1175016244324"><li id="mrs_01_0381__li167501240325">To support sampling messages, add the <span class="parmname" id="mrs_01_0381__en-us_topic_0057061151_parmname1055155681165431"><b>topology.debug</b></span> and <span class="parmname" id="mrs_01_0381__en-us_topic_0057061151_parmname1209976651165431"><b>topology.eventlogger.executors</b></span> parameters.</li><li id="mrs_01_0381__li1975442443211">Data processing methods vary with topologies. The topology in the example generates characters randomly and separates character strings. To query the processing status, enable the sampling function and perform operations according to <a href="mrs_01_0384.html">Querying Storm Topology Logs</a>.</li></ul>
+</div></div>
+</p></li><li id="mrs_01_0381__li1677818251323"><span>Run the following command to submit a topology task for MRS 3.x or later:</span><p><p id="mrs_01_0381__a299b2ad7ad7d4cbfbed64a1f1b4efadb"><strong id="mrs_01_0381__b141746414091442">storm jar </strong><em id="mrs_01_0381__i29106660191442">topology-jar-path </em><em id="mrs_01_0381__i57598850491442">class input parameter list</em></p>
+<ul id="mrs_01_0381__ue49a16bc23674269a6d35d4882bc026b"><li id="mrs_01_0381__l378ca7aae3844bc5b4f68d10150f133a"><em id="mrs_01_0381__i89732181491442">topology-jar-path</em> indicates the path of the JAR file of the topology.</li><li id="mrs_01_0381__l17e25145dfa44a99851ba6d76d4ef793"><em id="mrs_01_0381__i171754240491442">class</em> indicates the class name of the main method used by the topology.</li><li id="mrs_01_0381__lf184e4c9c73f4838a88ee05841b2dd0b"><em id="mrs_01_0381__i130147014391442">Input parameter list</em> includes input parameters of the main method used by the topology.</li></ul>
+<p id="mrs_01_0381__a2daa85cc29454518bad5e543517b1b47">If the following information is displayed, the topology is submitted successfully:</p>
+<pre class="screen" id="mrs_01_0381__s549696e2bd4b4b098d5b1d86cbc3465d">Finished submitting topology: topology1</pre>
+<div class="note" id="mrs_01_0381__note437134413315"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0381__ul158014331498"><li id="mrs_01_0381__li358016332091">The login authentication user must correspond to the loaded environment variable (<strong id="mrs_01_0381__b107841592991442">component_env</strong>). Otherwise, an error occurs when you run the <strong id="mrs_01_0381__b159553261422">storm </strong>command to submit the topology task.</li><li id="mrs_01_0381__li1858019339916">After the client environment variable is loaded and the corresponding user login succeeds, the user can run the Storm command on any Storm client to submit the topology task. After the command is executed, the successfully submitted topology is still in the Storm cluster of the user.</li><li id="mrs_01_0381__li2058013331090">If cluster domain name is modified, you need to reset the domain name before submitting the topology. Run the cql statement<strong id="mrs_01_0381__b11457425164512"></strong><strong id="mrs_01_0381__b11460122514457"></strong><strong id="mrs_01_0381__b1587102419920"></strong>.</li></ul>
+</div></div>
+</p></li><li id="mrs_01_0381__lbe3cdaf67f5b4cf18419fbbdeb422302"><span>Run the following command to query Storm topologies. For clusters with Kerberos authentication enabled, only users in the <span class="parmname" id="mrs_01_0381__parmname13206405199"><b>stormadmin</b></span> or <span class="parmname" id="mrs_01_0381__parmname1032544061914"><b>storm</b></span> group can query all topologies.</span><p><p id="mrs_01_0381__adbde1f1e20f7494abb88a485fead6155"><strong id="mrs_01_0381__a7bd189f7b6ae4336b6718bc54889aecb">storm list</strong></p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0380.html">Using Storm</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0382.html b/docs/mrs/component-operation-guide/mrs_01_0382.html
new file mode 100644
index 000000000..99a5b5234
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+++ b/docs/mrs/component-operation-guide/mrs_01_0382.html
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+<a name="mrs_01_0382"></a><a name="mrs_01_0382"></a>
+
+<h1 class="topictitle1">Accessing the Storm Web UI</h1>
+<div id="body1589421630472"><div class="section" id="mrs_01_0382__seb49c466f7844f689d9ea577a085ca8b"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0382__en-us_topic_0053993335_p665576551074">The Storm web UI provides a graphical interface for using Storm.</p>
+<div class="p" id="mrs_01_0382__p28355011267">The following information can be queried on the Storm web UI:<ul id="mrs_01_0382__ul1649103652518"><li id="mrs_01_0382__li69522012142512">Storm cluster summary</li><li id="mrs_01_0382__li995212120258">Nimbus summary</li><li id="mrs_01_0382__li8952171212510">Topology summary</li><li id="mrs_01_0382__li10952111232514">Supervisor summary</li><li id="mrs_01_0382__li1395281220257">Nimbus configurations</li></ul>
+</div>
+</div>
+<div class="section" id="mrs_01_0382__s5e180c6a1e264422a14ddfca7e340a74"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_0382__ud1be2cc3fdb84cb392b97f025e3510ce"><li id="mrs_01_0382__ld1d18d5109804d96b0cd20c14576c8d4">The password of user <span class="parmname" id="mrs_01_0382__parmname12825193515209"><b>admin</b></span> has been obtained. The password of user <span class="parmname" id="mrs_01_0382__parmname13825134472515"><b>admin</b></span> is specified by you during the cluster creation.</li><li id="mrs_01_0382__l51d9f6da8eb94974aeafe8bdd4ece118">If a user other than <span class="parmname" id="mrs_01_0382__en-us_topic_0053993335_parmname855984141111658"><b>admin</b></span> is used to access the Storm web UI, the user must be added to the <span class="parmname" id="mrs_01_0382__en-us_topic_0053993335_parmname383910588111714"><b>storm</b></span> or <span class="parmname" id="mrs_01_0382__en-us_topic_0053993335_parmname1981282598111714"><b>stormadmin</b></span> user group.</li></ul>
+</div>
+<div class="section" id="mrs_01_0382__s7dd270065b604b34a88e5f26b90b06b7"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0382__oc0df53cb9e1f4047ac093077214f3039"><li id="mrs_01_0382__li1450385018333"><span>Access the component management page.</span><p><ul id="mrs_01_0382__ul57173312424"><li id="mrs_01_0382__li1827754692810">For versions earlier than MRS 1.9.2, log in to MRS Manager and choose <strong id="mrs_01_0382__b7971192815200">Services</strong>.</li><li id="mrs_01_0382__li1771733204217">For versions earlier than MRS 3.<em id="mrs_01_0382__i711713115206">x</em>, click the cluster name to go to the cluster details page and choose <strong id="mrs_01_0382__b14118431182013">Components</strong>.<div class="note" id="mrs_01_0382__note117177319424"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0382__p158007468574">If the <strong id="mrs_01_0382__b16225242813">Components</strong> tab is unavailable, complete IAM user synchronization first. (On the <strong id="mrs_01_0382__b82318422014">Dashboard</strong> page, click <strong id="mrs_01_0382__b1823174218117">Synchronize</strong> on the right side of <span class="parmname" id="mrs_01_0382__parmname172320428112"><b>IAM User Sync</b></span> to synchronize IAM users.)</p>
+</div></div>
+</li><li id="mrs_01_0382__li67177314429">For MRS 3.<em id="mrs_01_0382__i1382125473719">x</em> or later, log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. Choose <strong id="mrs_01_0382__b84848223814">Cluster</strong> &gt; <em id="mrs_01_0382__i248513211383">Name of the desired cluster</em> &gt; <strong id="mrs_01_0382__b12485192123815">Services</strong>.</li></ul>
+</p></li><li id="mrs_01_0382__li1250354915177"><span>Log in to the Storm WebUI.</span><p><ul id="mrs_01_0382__ul4160131891819"><li id="mrs_01_0382__li068623116186">For versions earlier than MRS 3.x: Choose <span class="menucascade" id="mrs_01_0382__menucascade1768683151813"><b><span class="uicontrol" id="mrs_01_0382__uicontrol15686531171810">Storm</span></b></span>. On the <span class="parmname" id="mrs_01_0382__parmname10687931161820"><b>Storm Summary</b></span> area, click any UI link on the right side of <strong id="mrs_01_0382__b33042291127">Storm Web UI</strong> to open the Storm web UI.<div class="note" id="mrs_01_0382__note1368753111814"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0382__p18687133117186">When accessing the Storm web UI for the first time, you must add the address to the trusted site list.</p>
+</div></div>
+</li><li id="mrs_01_0382__li10513174414181">For MRS 3.x or later, choose <span class="menucascade" id="mrs_01_0382__menucascade1584983971710"><b><span class="uicontrol" id="mrs_01_0382__uicontrol11850113919176">Storm</span></b> &gt; <b><span class="uicontrol" id="mrs_01_0382__uicontrol841182613224">Overview</span></b></span>. In the <span class="wintitle" id="mrs_01_0382__wintitle4612194542218"><b>Basic Information</b></span> area, click any UI link on the right side of <strong id="mrs_01_0382__b161542082207">Storm Web UI</strong> to open the Storm web UI.</li></ul>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0382__s6d834aa47c5a4b47a4ecc5428612ae71"><h4 class="sectiontitle">Related Tasks</h4><ul id="mrs_01_0382__ul17521832414"><li id="mrs_01_0382__li05224304111">Click a topology name to view details, status, Spouts information, Bolts information, and configuration information of the topology.</li><li id="mrs_01_0382__li752212318412">In the <strong id="mrs_01_0382__b55103299292232">Topology actions</strong> area, click <strong id="mrs_01_0382__b72519325692232">Activate</strong>, <strong id="mrs_01_0382__b60290149792232">Deactivate</strong>, <strong id="mrs_01_0382__b66209839492232">Rebalance</strong>, <strong id="mrs_01_0382__b119195252492232">Kill</strong>, <strong id="mrs_01_0382__b54975759192232">Debug</strong>, <strong id="mrs_01_0382__b214193080592232">Stop Debug</strong>, and <strong id="mrs_01_0382__b184986498792232">Change Log Level</strong> to activate, deactivate, redeploy, delete, debug, and stop debugging the topology, and modify the log levels, respectively. You need to set the waiting time for the redeployment and deletion operations. The unit is second.</li><li id="mrs_01_0382__li852210344115">In the <strong id="mrs_01_0382__b129684981392232">Topology Visualization</strong> area, click <strong id="mrs_01_0382__b85312306292232">Show Visualization</strong> to visualize a topology. After the topology is visualized, the WebUI displays the topology structure.</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0380.html">Using Storm</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0383.html b/docs/mrs/component-operation-guide/mrs_01_0383.html
new file mode 100644
index 000000000..15f88a926
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0383.html
@@ -0,0 +1,25 @@
+<a name="mrs_01_0383"></a><a name="mrs_01_0383"></a>
+
+<h1 class="topictitle1">Managing Storm Topologies</h1>
+<div id="body1589421630474"><div class="section" id="mrs_01_0383__s36001f2f8ab047789a88f6e3f8ab1c1e"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0383__a26d83fdfc160460799dc9c2c1757e9f5">You can manage Storm topologies on the Storm web UI. Users in the <span class="parmname" id="mrs_01_0383__parmname199750835716103"><b>storm</b></span> group can manage only the topology tasks submitted by themselves, while users in the <span class="parmname" id="mrs_01_0383__parmname57890264016103"><b>stormadmin</b></span> group can manage all topology tasks.</p>
+</div>
+<div class="section" id="mrs_01_0383__s6a9fafb5594347969e100f5fa885a5f5"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0383__oc58178e63640481a984bb1ac075d879c"><li id="mrs_01_0383__lbb39ff75cdf04b35a2fec8ad4bfad6c3"><span>For details about how to access the Storm WebUI, see <a href="mrs_01_0382.html">Accessing the Storm Web UI</a>.</span></li><li id="mrs_01_0383__en-us_topic_0053981411_li36203121778"><span>In the <span class="parmname" id="mrs_01_0383__en-us_topic_0053981411_parmname1920743372161424"><b>Topology summary</b></span> area, click the desired topology. </span></li><li id="mrs_01_0383__lbad284004ae440b0b8fc6a340b4ebbe4"><span>Use options in <span class="parmname" id="mrs_01_0383__en-us_topic_0053981411_parmname168952545116150"><b>Topology actions</b></span> to manage the Storm topology.</span><p><ul id="mrs_01_0383__u03ad6909ddc5404abb7eba72a25df770"><li id="mrs_01_0383__le083d58f2be147bc8c21b42d9eac0b0b">Activating a topology<p id="mrs_01_0383__a3fdbd43ef7a344a7b50b840901db07e5"><a name="mrs_01_0383__le083d58f2be147bc8c21b42d9eac0b0b"></a><a name="le083d58f2be147bc8c21b42d9eac0b0b"></a>Click <span class="uicontrol" id="mrs_01_0383__en-us_topic_0053981411_uicontrol1094983201161531"><b>Activate</b></span> to activate the topology.</p>
+</li><li id="mrs_01_0383__l6f961008be1d4337954d4a3a5d46ed9d">Deactivating a topology<p id="mrs_01_0383__en-us_topic_0053981411_p558108316153"><a name="mrs_01_0383__l6f961008be1d4337954d4a3a5d46ed9d"></a><a name="l6f961008be1d4337954d4a3a5d46ed9d"></a>Click <span class="uicontrol" id="mrs_01_0383__uicontrol767512312"><b>Deactivate</b></span> to deactivate the topology.</p>
+</li><li id="mrs_01_0383__lf0f69606c2b1416998d034e03bc623ac">Re-deploying a topology<p id="mrs_01_0383__ac8310e17cd844aaf8b374d851b6e2231"><a name="mrs_01_0383__lf0f69606c2b1416998d034e03bc623ac"></a><a name="lf0f69606c2b1416998d034e03bc623ac"></a>Click <span class="uicontrol" id="mrs_01_0383__en-us_topic_0053981411_uicontrol1705158346161736"><b>Rebalance</b></span> and specify the wait time (in seconds) of re-deployment. Generally, if the number of nodes in a cluster changes, the topology can be re-deployed to maximize resource usage.</p>
+</li><li id="mrs_01_0383__l2958b6584adc40f68d97c260d4f13593">Deleting a topology<p id="mrs_01_0383__a7a9687d7981e49a3b33236dd939b49f3"><a name="mrs_01_0383__l2958b6584adc40f68d97c260d4f13593"></a><a name="l2958b6584adc40f68d97c260d4f13593"></a>Click <span class="uicontrol" id="mrs_01_0383__uicontrol70192250"><b>Kill</b></span> and specify the wait time (in seconds) of the deletion.</p>
+</li><li id="mrs_01_0383__lb7106bc24ad84ce1b544f16788101ae5">Starting or stopping sampling messages<p id="mrs_01_0383__ab26eea6445e14b95b5debca025fabb1f"><a name="mrs_01_0383__lb7106bc24ad84ce1b544f16788101ae5"></a><a name="lb7106bc24ad84ce1b544f16788101ae5"></a>Click <span class="uicontrol" id="mrs_01_0383__en-us_topic_0053981411_uicontrol1603503358175559"><b>Debug</b></span>. In the dialog box displayed, specify the percentage of the sampled data volume. For example, if the value is set to <span class="parmvalue" id="mrs_01_0383__en-us_topic_0053981411_parmvalue1701320689175658"><b>10</b></span>, 10% of data is sampled.</p>
+<p id="mrs_01_0383__a91d16084293f4121a7c5127243fbcbd0">To stop sampling, click <span class="uicontrol" id="mrs_01_0383__en-us_topic_0053981411_uicontrol110819600417228"><b>Stop Debug</b></span>.</p>
+<div class="note" id="mrs_01_0383__na56193fa83b5403eaac4909debad8827"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0383__a0ae71d35a67e4f1d95320a7061a9de2b">This function is available only if the sampling function is enabled when the topology is submitted. For details about querying data processing information, see <a href="mrs_01_0384.html">Querying Storm Topology Logs</a>.</p>
+</div></div>
+</li><li id="mrs_01_0383__lcbe99bdad9184735afdfdea304626a4a">Modifying the topology log level<p id="mrs_01_0383__a484899472a534322ae3a01206120dd03"><a name="mrs_01_0383__lcbe99bdad9184735afdfdea304626a4a"></a><a name="lcbe99bdad9184735afdfdea304626a4a"></a>Click <span class="uicontrol" id="mrs_01_0383__en-us_topic_0053981411_uicontrol302617218162340"><b>Change Log Level</b></span> to specify a new log level.</p>
+</li></ul>
+</p></li><li id="mrs_01_0383__l97377e536d674653b2f5b1cbf3b76619"><span>Displaying a topology</span><p><p id="mrs_01_0383__a0771b6e1db184a8b982963af5c99bc18">In the <span class="parmname" id="mrs_01_0383__en-us_topic_0053981411_parmname2015399294162822"><b>Topology Visualization</b></span> area, click <span class="uicontrol" id="mrs_01_0383__en-us_topic_0053981411_uicontrol1129668742162830"><b>Show Visualization</b></span> to visualize the topology.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0380.html">Using Storm</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0384.html b/docs/mrs/component-operation-guide/mrs_01_0384.html
new file mode 100644
index 000000000..23dcbf333
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0384.html
@@ -0,0 +1,18 @@
+<a name="mrs_01_0384"></a><a name="mrs_01_0384"></a>
+
+<h1 class="topictitle1">Querying Storm Topology Logs</h1>
+<div id="body1589421630476"><div class="section" id="mrs_01_0384__s4e89ff6a9060490e9a01b802e8857525"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0384__a833facaa7c1c4da483ae9d77df2af724">You can query topology logs to check the execution of a Storm topology in a worker process. To query the data processing logs of a topology, enable the <span class="parmname" id="mrs_01_0384__en-us_topic_0053981410_parmname6820168999152"><b>Debug</b></span> function when submitting the topology. Only streaming clusters with Kerberos authentication enabled support this function. In addition, the user who queries topology logs must be the one who submits the topology or a member of the <span class="parmname" id="mrs_01_0384__parmname1271717117243"><b>stormadmin</b></span> group.</p>
+</div>
+<div class="section" id="mrs_01_0384__s45ba00aadc0b48cdb9090aa9d24f4928"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_0384__u7af1211ebe754180a3200346e7306fd7"><li id="mrs_01_0384__l21e56cc41e164301b63f2a2cd23b5f7d">The network of the working environment has been configured.</li><li id="mrs_01_0384__lb0c20090dcea4864a7d29fa16683b1a1">The sampling function has been enabled for the topology.</li></ul>
+</div>
+<div class="section" id="mrs_01_0384__s9e285420b08640d084123f8c416aca68"><h4 class="sectiontitle">Querying Worker Process Logs</h4><ol id="mrs_01_0384__o0c31524dfbe64a848d03166e36043970"><li id="mrs_01_0384__l5fd5f8387fd645339b3e02216689fe68"><span>For details about how to access the Storm WebUI, see <a href="mrs_01_0382.html">Accessing the Storm Web UI</a>.</span></li><li id="mrs_01_0384__l7d70a73181c042d58b25cdae0dd8a9ea"><span>In the <span class="parmname" id="mrs_01_0384__en-us_topic_0053981410_parmname199238340416217"><b>Topology Summary</b></span> area, click the desired topology to view details.</span></li><li id="mrs_01_0384__l1fc614d83cfc45f98145fefaaaec1d87"><span>Click the desired <span class="parmname" id="mrs_01_0384__en-us_topic_0053981410_parmname9115273916544"><b>Spouts</b></span> or <span class="parmname" id="mrs_01_0384__en-us_topic_0053981410_parmname70244802816544"><b>Bolts</b></span> task. In the <span class="parmname" id="mrs_01_0384__en-us_topic_0053981410_parmname8118812801665"><b>Executors (All time)</b></span> area, click a port in <span class="parmname" id="mrs_01_0384__en-us_topic_0053981410_parmname92322157916628"><b>Port</b></span> to view detailed logs.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_0384__s0ffb38030e2a49ccb229939a92913f29"><h4 class="sectiontitle">Querying Data Processing Logs of a Topology</h4><ol id="mrs_01_0384__o2c54a3ebb3914f9e93f754000f2f9c49"><li id="mrs_01_0384__lc3c3969c3e1b445c83340e5340472d1e"><span>For details about how to access the Storm WebUI, see <a href="mrs_01_0382.html">Accessing the Storm Web UI</a>.</span></li><li id="mrs_01_0384__l61368fe83a4148e4b3420e8d040225e3"><span>In the <span class="parmname" id="mrs_01_0384__parmname14655246566"><b>Topology Summary</b></span> area, click the desired topology to view details.</span></li><li id="mrs_01_0384__l348c85bb904948eb96ea0d36bcd01292"><span>Click <span class="uicontrol" id="mrs_01_0384__en-us_topic_0053981410_uicontrol3088490739715"><b>Debug</b></span>, specify the data sampling ratio, and click <span class="uicontrol" id="mrs_01_0384__en-us_topic_0053981410_uicontrol7039344889749"><b>OK</b></span>.</span></li><li id="mrs_01_0384__l5bf82fd85259456da32c96379d69c8ab"><span>Click the <span class="parmname" id="mrs_01_0384__en-us_topic_0053981410_parmname2115015311983"><b>Spouts</b></span> or <span class="parmname" id="mrs_01_0384__en-us_topic_0053981410_parmname1192583352983"><b>Bolts</b></span> task. In <span class="parmname" id="mrs_01_0384__en-us_topic_0053981410_parmname72769889818"><b>Component summary</b></span>, click <span class="uicontrol" id="mrs_01_0384__en-us_topic_0053981410_uicontrol16311492329839"><b>events</b></span> to view data processing logs.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0380.html">Using Storm</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0385.html b/docs/mrs/component-operation-guide/mrs_01_0385.html
new file mode 100644
index 000000000..23b8e6676
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0385.html
@@ -0,0 +1,17 @@
+<a name="mrs_01_0385"></a><a name="mrs_01_0385"></a>
+
+<h1 class="topictitle1">Using CarbonData (for Versions Earlier Than MRS 3.x)</h1>
+<div id="body1589421630477"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_0386.html">Using CarbonData from Scratch</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0387.html">About CarbonData Table</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0388.html">Creating a CarbonData Table</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0389.html">Deleting a CarbonData Table</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0386.html b/docs/mrs/component-operation-guide/mrs_01_0386.html
new file mode 100644
index 000000000..b505db467
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0386.html
@@ -0,0 +1,62 @@
+<a name="mrs_01_0386"></a><a name="mrs_01_0386"></a>
+
+<h1 class="topictitle1">Using CarbonData from Scratch</h1>
+<div id="body1589421630479"><p id="mrs_01_0386__a33de4bd77f4c4304810f92439ff56aa3">This section is for MRS 3.x or earlier. For MRS 3.x or later, see <a href="mrs_01_1400.html">Using CarbonData (for MRS 3.x or Later)</a>.</p>
+<p id="mrs_01_0386__acc107eedf35543e4b9a6d8349341e6be">This section describes the procedure of using Spark CarbonData. All tasks are based on the Spark-beeline environment. The tasks include:</p>
+<ol id="mrs_01_0386__o4d78abb0c52d4710aeb4a3c863d08eae"><li id="mrs_01_0386__le9fd8c6ec03142a9af086f15813f62b6">Connecting to Spark<p id="mrs_01_0386__ae00174deba224b908a3333fed893d2b3"><a name="mrs_01_0386__le9fd8c6ec03142a9af086f15813f62b6"></a><a name="le9fd8c6ec03142a9af086f15813f62b6"></a>Before performing any operation on CarbonData, users must connect CarbonData to Spark.</p>
+</li><li id="mrs_01_0386__l4f64f24edfa04ea1ac386a6d705f8faa">Creating a CarbonData table<p id="mrs_01_0386__abacaf61756c8449cb398ed926c2c4a87"><a name="mrs_01_0386__l4f64f24edfa04ea1ac386a6d705f8faa"></a><a name="l4f64f24edfa04ea1ac386a6d705f8faa"></a>After connecting to Spark, users must create a CarbonData table to load and query data.</p>
+</li><li id="mrs_01_0386__laec7087abe9f4ae985cfaaf4bd8dd89a">Loading data to the CarbonData table<p id="mrs_01_0386__a5f4027177b3a4a498d697083ed7c6514"><a name="mrs_01_0386__laec7087abe9f4ae985cfaaf4bd8dd89a"></a><a name="laec7087abe9f4ae985cfaaf4bd8dd89a"></a>Users load data from CSV files in HDFS to the CarbonData table.</p>
+</li><li id="mrs_01_0386__lab22d151c4484dedbc2ef4ba13eb6f16">Querying data from the CarbonData table<p id="mrs_01_0386__a30af77a928734c6ab24ec7d99ef8b238"><a name="mrs_01_0386__lab22d151c4484dedbc2ef4ba13eb6f16"></a><a name="lab22d151c4484dedbc2ef4ba13eb6f16"></a>After data is loaded to the CarbonData table, users can run query commands such as <strong id="mrs_01_0386__en-us_topic_0056189602_b84235270694748">groupby</strong> and <strong id="mrs_01_0386__en-us_topic_0056189602_b84235270694753">where</strong>.</p>
+</li></ol>
+<div class="section" id="mrs_01_0386__sf10b35613afe4c6d8c13a2e169220750"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_0386__a0f3ac61926304f079fb8eb3186d124a1">A client has been installed. For details, see <a href="mrs_01_2126.html">Using an MRS Client</a>.</p>
+</div>
+<div class="section" id="mrs_01_0386__s868bc997d49740f7a96d0f6915b2dac5"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0386__o7f2f7e0d23264930b387db8f13d579a5"><li id="mrs_01_0386__lc568d6217a8648e08a31d162927125a6"><span>Connect CarbonData to Spark.</span><p><ol type="a" id="mrs_01_0386__o48f1a1ad5f39495cbc88231572f348fb"><li id="mrs_01_0386__l23f9e94fe8ca457ab0630fe25cdb804c">Prepare a client based on service requirements and use user <strong id="mrs_01_0386__b02711349598">root</strong> to log in to the node where the client is installed.<p id="mrs_01_0386__en-us_topic_0056189602_p274796142857">For example, if you have updated the client on the Master2 node, log in to the Master2 node to use the client. For details, see <a href="mrs_01_2126.html">Using an MRS Client</a>.</p>
+</li><li id="mrs_01_0386__l13b18a2611fd490bae9793218e5cf3c9">Run the following commands to switch the user and configure environment variables:<p id="mrs_01_0386__a34f2de25f9704ff4b06403909f5ce7d9"><a name="mrs_01_0386__l13b18a2611fd490bae9793218e5cf3c9"></a><a name="l13b18a2611fd490bae9793218e5cf3c9"></a><strong id="mrs_01_0386__en-us_topic_0056189602_b560210819742">sudo su - omm</strong></p>
+<p id="mrs_01_0386__a05fdc54744f24beea84a8ea0edbefd81"><strong id="mrs_01_0386__a5e73a3b702d14fef935ca549a4ce7ec3">source /opt/client/bigdata_env</strong></p>
+</li><li id="mrs_01_0386__lab6db5d6e2554b539e15e442a8dd5ef1">For clusters with Kerberos authentication enabled, run the following command to authenticate the user. For clusters with Kerberos authentication disabled, skip this step.<p id="mrs_01_0386__ae87d15574e94431193a045c8878940a8"><a name="mrs_01_0386__lab6db5d6e2554b539e15e442a8dd5ef1"></a><a name="lab6db5d6e2554b539e15e442a8dd5ef1"></a><strong id="mrs_01_0386__en-us_topic_0056189602_b4538954119504">kinit </strong><em id="mrs_01_0386__en-us_topic_0056189602_i6508981389504"><strong id="mrs_01_0386__b3457422569504">Spark username</strong></em></p>
+<div class="note" id="mrs_01_0386__note3768142717515"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0386__p118910426518">The user needs to be added to user groups <strong id="mrs_01_0386__b142865614116">hadoop</strong> (primary group) and <strong id="mrs_01_0386__b91331411114">hive</strong>.</p>
+</div></div>
+</li><li id="mrs_01_0386__lbee08bfe9d1149b8a61d429d3adfa357">Run the following command to connect to the Spark environment.<p id="mrs_01_0386__ac08da93eb3bb4c6188ecf67fe7fb430d"><a name="mrs_01_0386__lbee08bfe9d1149b8a61d429d3adfa357"></a><a name="lbee08bfe9d1149b8a61d429d3adfa357"></a><strong id="mrs_01_0386__accc53e8d635f414f8c8fff61a3586352">spark-beeline</strong></p>
+</li></ol>
+</p></li><li id="mrs_01_0386__l2f75dd5cc666435db76ab7b5b75925fd"><span>Create a CarbonData table.</span><p><p id="mrs_01_0386__a7f262a9202d449398b6cde82163825f4">Run the following command to create a CarbonData table, which is used to load and query data.</p>
+<p id="mrs_01_0386__a58f8c307f050446cbf2b53cc23832772"><strong id="mrs_01_0386__a31ff985343804628ba3ec6dfd9306ba3">CREATE TABLE x1 (imei string, deviceInformationId int, mac string, productdate timestamp, updatetime timestamp, gamePointId double, contractNumber double)</strong></p>
+<p id="mrs_01_0386__a58b8ad42b31c40b0bbad0a7c29209dcc"><strong id="mrs_01_0386__a77bd38f732784b038d890af2d09e7c1e">STORED BY 'org.apache.carbondata.format'</strong></p>
+<p id="mrs_01_0386__adeebbfc655ce40fe9d02ed0d527f3d67"><strong id="mrs_01_0386__a64975f134d8c4cc2ba83ef4a7066f921">TBLPROPERTIES ('DICTIONARY_EXCLUDE'='mac','DICTIONARY_INCLUDE'='deviceInformationId');</strong></p>
+<p id="mrs_01_0386__a52ec19543b5740578784674b6157f463">The command output is as follows:</p>
+<pre class="screen" id="mrs_01_0386__sce51c9727d664e49a452d2d39f074e3f">+---------+--+
+| result  |
++---------+--+
++---------+--+
+No rows selected (1.551 seconds)</pre>
+</p></li><li id="mrs_01_0386__lc90cf170eea44a3fbf8e83ee4f4b024e"><span>Load data from CSV files to the CarbonData table.</span><p><p id="mrs_01_0386__a7c1c7d315b964813a5dfc1a00a2af0a3">Run the command to load data from CSV files based on the required parameters. Only CSV files are supported. The CSV column name and sequence configured in the <strong id="mrs_01_0386__b1022903620182">LOAD</strong> command must be consistent with those in the CarbonData table. The data formats and number of data columns in the CSV files must also be the same as those in the CarbonData table.</p>
+<p id="mrs_01_0386__p96617401666">The CSV files must be stored on HDFS. You can upload the files to OBS and import them from OBS to HDFS on the <strong id="mrs_01_0386__b13931712111616">Files</strong> page of the MRS console.</p>
+<p id="mrs_01_0386__a781b58eea7564efc9fe85cbcb4f2fd0d">If Kerberos authentication is enabled, prepare the CSV files in the work environment and import them to HDFS using open-source HDFS commands. In addition, assign the Spark user with the read and execute permissions of the files on HDFS by referring to <a href="mrs_01_1406.html#mrs_01_1406__li122143593123">5</a>.</p>
+<p id="mrs_01_0386__a06dd21c0e8c74500b018f2deea277545">For example, the <span class="filepath" id="mrs_01_0386__en-us_topic_0056189602_filepath16066606331052"><b>data.csv</b></span> file is saved in the <span class="filepath" id="mrs_01_0386__en-us_topic_0056189602_filepath106458084210519"><b>tmp</b></span> directory of HDFS with the following contents:</p>
+<pre class="screen" id="mrs_01_0386__sa7f9f03ecfeb47c2957fe45e1cd04823">x123,111,dd,2017-04-20 08:51:27,2017-04-20 07:56:51,2222,33333</pre>
+<p id="mrs_01_0386__acf5a9361dac94d909bef476c3abf31cd">The command for loading data from that file is as follows:</p>
+<p id="mrs_01_0386__a20f0767838164aa2ba33dd85ab630cd5"><strong id="mrs_01_0386__aaf27e3df75c948198ab025cede2b8095">LOAD DATA inpath 'hdfs://hacluster/tmp/data.csv' into table x1 options('DELIMITER'=',','QUOTECHAR'='"','FILEHEADER'='imei, deviceinformationid,mac,productdate,updatetime,gamepointid,contractnumber');</strong></p>
+<p id="mrs_01_0386__a4635c934c2c941ca98bacb67f5b17e74">The command output is as follows:</p>
+<pre class="screen" id="mrs_01_0386__se59261ef27df46a482edff020f8cb450">+---------+--+
+| Result  |
++---------+--+
++---------+--+
+No rows selected (3.039 seconds)</pre>
+</p></li><li id="mrs_01_0386__l2afe94d3203c49d89a0dd0284df08172"><span>Query data from the CarbonData.</span><p><ul id="mrs_01_0386__ud6fe383ae07744a5a68410580035e677"><li id="mrs_01_0386__l60c05114c29346dea641b5dff837090e"><strong id="mrs_01_0386__ae42eccec63cb4bcf8d0747edf5dac44a">Obtaining the number of records</strong><p id="mrs_01_0386__afde706fa90fb478f9e9ec9d420d8b0a3">Run the following command to obtain the number of records in the CarbonData table:</p>
+<p id="mrs_01_0386__afac9eb51194f408c907e594368fc4434"><strong id="mrs_01_0386__a26fbcf410cb7434681e041b2e1650888">select count(*) from x1;</strong></p>
+</li><li id="mrs_01_0386__l8a218cab94184557bd7b219adfca90cd"><strong id="mrs_01_0386__a421c074621484bd2a62fd869252e6c6c">Querying with the groupby condition</strong><p id="mrs_01_0386__a89bfaf4cb6dd4877ab7d6764c24e4329">Run the following command to obtain the <span class="parmname" id="mrs_01_0386__p1795e555f4c24ea38cc02bffef40cb3f"><b>deviceinformationid</b></span> records without repetition in the CarbonData table:</p>
+<p id="mrs_01_0386__a853225a69d6d4577bb006ab70ab89fd0"><strong id="mrs_01_0386__ab9d7166068d74ae28d0dc852384a6f73">select deviceinformationid,count (distinct deviceinformationid) from x1 group by deviceinformationid;</strong></p>
+</li><li id="mrs_01_0386__l2aa894c4e57f4f41a887e847f67ce249"><strong id="mrs_01_0386__a3ce997d26b9b4f8fb621351985843ebd">Querying with the where condition</strong><p id="mrs_01_0386__a1f41fe3553184d76b3d7e3d62a3e5458">Run the following command to obtain specific <strong id="mrs_01_0386__afe47a0e06ad646d0b82043e02435196e">deviceinformationid</strong> records:</p>
+<p id="mrs_01_0386__a3a51900a7ecb47dc98763abaa104e253"><strong id="mrs_01_0386__a25077add75ab4a82bb72f2b64abf6330">select * from x1 where deviceinformationid='111';</strong></p>
+</li></ul>
+<div class="note" id="mrs_01_0386__ncbc01999c3d7476cb81a85b69eeb4db2"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0386__aad19aa6c73034070a2ebf1daa6cbfe8e">If the query result has non-English characters, the columns in the query result may not be aligned. This is because characters of different languages occupy different widths.</p>
+</div></div>
+</p></li><li id="mrs_01_0386__la0aaeab8449e4763967003e9a0205d94"><span>Run the following command to exit the Spark environment.</span><p><p id="mrs_01_0386__en-us_topic_0056189602_p950577019754"><strong id="mrs_01_0386__en-us_topic_0056189602_b584565421983">!quit</strong></p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0385.html">Using CarbonData (for Versions Earlier Than MRS 3.x)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0387.html b/docs/mrs/component-operation-guide/mrs_01_0387.html
new file mode 100644
index 000000000..c2d137763
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0387.html
@@ -0,0 +1,62 @@
+<a name="mrs_01_0387"></a><a name="mrs_01_0387"></a>
+
+<h1 class="topictitle1">About CarbonData Table</h1>
+<div id="body1589421630481"><div class="section" id="mrs_01_0387__s37a167cf46534a5c86a6dd255f507313"><h4 class="sectiontitle">Description</h4><p id="mrs_01_0387__aa7618ed863604f33a193fbf748cc268d">CarbonData tables are similar to tables in the relational database management system (RDBMS). RDBMS tables consist of rows and columns to store data. CarbonData tables have fixed columns and also store structured data. In CarbonData, data is saved in entity files.</p>
+</div>
+<div class="section" id="mrs_01_0387__s4d42c16cf1b345998429c2d60187f61b"><h4 class="sectiontitle">Supported Data Types</h4><p id="mrs_01_0387__a9444d553624c4f8392f1a991ed51198d">CarbonData tables support the following data types:</p>
+<ul id="mrs_01_0387__ua24b2111a80c4c5c9d357e46852c995d"><li id="mrs_01_0387__l1dd0de74010d4c80987f469257e7c53f">Int</li><li id="mrs_01_0387__l7ac79c72232b41e1b8100a99d95f0f83">String</li><li id="mrs_01_0387__l2daff01225a14d6386d6133e7275439e">BigInt</li><li id="mrs_01_0387__l2a53145b90a14ff1875d6d241dbdcaf1">Decimal</li><li id="mrs_01_0387__le6fb613c848c49e9aa8758af3953a591">Double</li><li id="mrs_01_0387__laea0184b92c54a82b0de2d365be9db83">TimeStamp</li></ul>
+<p id="mrs_01_0387__acbc15142c35d4048bd955222e5227cf6"><a href="#mrs_01_0387__te1b84a2aca034e4b9e5745ab6b7bb9fd">Table 1</a> describes the details about each data type.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0387__te1b84a2aca034e4b9e5745ab6b7bb9fd"></a><a name="te1b84a2aca034e4b9e5745ab6b7bb9fd"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0387__te1b84a2aca034e4b9e5745ab6b7bb9fd" frame="border" border="1" rules="all"><caption><b>Table 1 </b>CarbonData data types</caption><thead align="left"><tr id="mrs_01_0387__rd3b328e62f2b4310bdef2241311e9aa0"><th align="left" class="cellrowborder" valign="top" width="17.86%" id="mcps1.3.2.5.2.3.1.1"><p id="mrs_01_0387__aa28d1893b34e4eeaa48df18792631a86"><strong id="mrs_01_0387__aff01f97dda44406f8696dc16db9755e6">Data Type</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="82.14%" id="mcps1.3.2.5.2.3.1.2"><p id="mrs_01_0387__a85bfd0562b2c48eb908159085edc4b2a"><strong id="mrs_01_0387__acd837afd6a894dd38c2ed5b84054fce9">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0387__r6ac513fe3c1349d09bd26a5604c5590f"><td class="cellrowborder" valign="top" width="17.86%" headers="mcps1.3.2.5.2.3.1.1 "><p id="mrs_01_0387__a642277b4335e4f58a093239a03c99faf">Int</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.14%" headers="mcps1.3.2.5.2.3.1.2 "><p id="mrs_01_0387__a3b30403f1eed4272ae1aa9b51c59bc0d">4-byte signed integer ranging from -2,147,483,648 to 2,147,483,647</p>
+<div class="note" id="mrs_01_0387__n7445349efce143f592b2cad98a229a5d"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0387__a6dbea4c08bf24cda85f5f62fd0ab8fab">If a non-dictionary column is of the <strong id="mrs_01_0387__b186492030143212">int</strong> data type, it is internally stored as the <strong id="mrs_01_0387__b1611564011324">BigInt</strong> type.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_0387__r6177c2e01b704ce294126970975cbc43"><td class="cellrowborder" valign="top" width="17.86%" headers="mcps1.3.2.5.2.3.1.1 "><p id="mrs_01_0387__afeec3c1fd2ac4c84a7395cbb42ead7fc">String</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.14%" headers="mcps1.3.2.5.2.3.1.2 "><p id="mrs_01_0387__a626dbc69aee1459aa9507338092e25c9">The maximum character string length is 100000.</p>
+</td>
+</tr>
+<tr id="mrs_01_0387__r5ead914fca4b4de596d27b0f4b64e174"><td class="cellrowborder" valign="top" width="17.86%" headers="mcps1.3.2.5.2.3.1.1 "><p id="mrs_01_0387__ae0a25f8a623d4deb989d6d0c3028f4a3">BigInt</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.14%" headers="mcps1.3.2.5.2.3.1.2 "><p id="mrs_01_0387__a07346125300442148b45db0c18bd69d2">Data is saved using the 64-bit technology. The value ranges from -9,223,372,036,854,775,808 to 9,223,372,036,854,775,807.</p>
+</td>
+</tr>
+<tr id="mrs_01_0387__rdda503697b19495198c30c8e0c627b4d"><td class="cellrowborder" valign="top" width="17.86%" headers="mcps1.3.2.5.2.3.1.1 "><p id="mrs_01_0387__acf6443d6bd224c5fb89c21f31604eb7d">Decimal</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.14%" headers="mcps1.3.2.5.2.3.1.2 "><p id="mrs_01_0387__ad46da508c383488e84664641e9f4aa84">The default value is (10,0) and maximum value is (38,38).</p>
+<div class="note" id="mrs_01_0387__ne391f81fa0dd4db2a99fe35ca38fab0f"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0387__a33e816c61afc446dbce30490a9e9411c">When query with filters, append <strong id="mrs_01_0387__b20529643410044">BD</strong> to the number to achieve accurate results. For example, <strong id="mrs_01_0387__abaac208bb93d4b05b7a8c9ee5b433c70">select * from carbon_table where num =  1234567890123456.22BD</strong>.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_0387__r1cdaa25b579b49f085957a2c9f17f0b6"><td class="cellrowborder" valign="top" width="17.86%" headers="mcps1.3.2.5.2.3.1.1 "><p id="mrs_01_0387__a16752fb94c3e43c1a1689edc2a13b61d">Double</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.14%" headers="mcps1.3.2.5.2.3.1.2 "><p id="mrs_01_0387__a1d8592a7fa244b05851f90de48955904">Data is saved using the 64-bit technology. The value ranges from 4.9E-324 to 1.7976931348623157E308.</p>
+</td>
+</tr>
+<tr id="mrs_01_0387__rd79a0af8d043482792b8cea697ace2f5"><td class="cellrowborder" valign="top" width="17.86%" headers="mcps1.3.2.5.2.3.1.1 "><p id="mrs_01_0387__acbdeefa77b3a466cae261d060f709cd7">TimeStamp</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.14%" headers="mcps1.3.2.5.2.3.1.2 "><p id="mrs_01_0387__a92b5ac6157034199bdd2ae14ebb79a93"><strong id="mrs_01_0387__b842352706105311">yyyy-MM-dd HH:mm:ss</strong> format is used by default.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_0387__n129762786c3d49f59245b46966f36f30"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0387__ac432d51896564b829c391641b03c2d6a">Measurement of all Integer data is processed and displayed using the <strong id="mrs_01_0387__b83744150341">BigInt</strong> data type.</p>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0385.html">Using CarbonData (for Versions Earlier Than MRS 3.x)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0388.html b/docs/mrs/component-operation-guide/mrs_01_0388.html
new file mode 100644
index 000000000..555250927
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0388.html
@@ -0,0 +1,81 @@
+<a name="mrs_01_0388"></a><a name="mrs_01_0388"></a>
+
+<h1 class="topictitle1">Creating a CarbonData Table</h1>
+<div id="body1589421630483"><div class="section" id="mrs_01_0388__s04fe989cc3e44e14b13bc7fa1584c13b"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0388__abc0f7ac07bbf450ebdb95cfa6e7d515f">A CarbonData table must be created to load and query data.</p>
+</div>
+<div class="section" id="mrs_01_0388__s94d4db704b464d6dba4dfc22ebbb6600"><h4 class="sectiontitle">Creating a Table with Self-Defined Columns</h4><p id="mrs_01_0388__a3ad8a7430e104d3a96924a95a69b5847">Users can create a table by specifying its columns and data types. For analysis clusters with Kerberos authentication enabled, if a user wants to create a CarbonData table in a database other than the <span class="parmname" id="mrs_01_0388__parmname63628603155529"><b>default</b></span> database, the <span class="parmvalue" id="mrs_01_0388__parmvalue7727059155710"><b>Create</b></span> permission of the database must be added to the role to which the user is bound in Hive role management.</p>
+<p id="mrs_01_0388__a6128a99f11294b96b9a8c23fcad1484f">Sample command:</p>
+<p id="mrs_01_0388__a78ea7e68051a47a0abd929f3cea5772f"><strong id="mrs_01_0388__aa7db3c41b2544d92945b09e49abde51a">CREATE TABLE</strong> <strong id="mrs_01_0388__a4d8ff79733f54b7db49ce4d1c697a6de">IF NOT EXISTS productdb.productSalesTable (</strong></p>
+<p id="mrs_01_0388__a53e91bb824a045cdbaa1bd2f3e3457ab"><strong id="mrs_01_0388__a8cc9a5f3fee14e4bbb2703e7b55bd7c4">productNumber Int,</strong></p>
+<p id="mrs_01_0388__a74ed907e598e4a0f81c8ae63b1f80168"><strong id="mrs_01_0388__a6a08035c592d428d8ad00fe66a2cba20">productName String,</strong></p>
+<p id="mrs_01_0388__a8fd3ccb92ffb468bbbcee3c25a6f4e52"><strong id="mrs_01_0388__ae190be0a5ae643589f360a75b107bc85">storeCity String,</strong></p>
+<p id="mrs_01_0388__a069e4c4958c040579aa8f7e7bde8e7cb"><strong id="mrs_01_0388__ae7a39a73b75c44b1b800f5f4cc008da8">storeProvince String,</strong></p>
+<p id="mrs_01_0388__ac5f6a6d1736f431ba59d8ca599d975cc"><strong id="mrs_01_0388__a99c6e3b410af4eb287497c0c1f273a10">revenue Int)</strong></p>
+<p id="mrs_01_0388__a960f9d42bcea42f99ce4d4265f121e48"><strong id="mrs_01_0388__a6dcd6cea5cda4dc6af2c8a1d55a97d9e">STORED BY</strong> <em id="mrs_01_0388__aaa0498a660c549d1bba84f1cbb40b3f1">'</em><strong id="mrs_01_0388__ae57778253e314e7db1ce502660235464">org.apache.carbondata.format'</strong></p>
+<p id="mrs_01_0388__a265177364848461c998dda2a055cc03b"><strong id="mrs_01_0388__a5ff0f055d3f7416395ff081656a483ae">TBLPROPERTIES (</strong></p>
+<p id="mrs_01_0388__af848ae6206c441888bae2d2df2f0119c"><strong id="mrs_01_0388__a6c9c4272f8f045aa822b060888bbb00d">'table_blocksize'='128',</strong></p>
+<p id="mrs_01_0388__en-us_topic_0056202763_p527830116372"><strong id="mrs_01_0388__aca53d3e0568c4d5fa2aa0fcc92d616fc">'DICTIONARY_EXCLUDE'='productName',</strong></p>
+<p id="mrs_01_0388__ac95538f5670b4c29bcc33cf22acfd3a7"><strong id="mrs_01_0388__adb94bd3d09bc43a08ad5464815964521">'DICTIONARY_INCLUDE'='productNumber');</strong></p>
+<p id="mrs_01_0388__en-us_topic_0056202763_p276038216372">The following table describes parameters of preceding commands.</p>
+</div>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0388__tdb3ba8cd1bab4fdcb0a0da845c4f5f51" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0388__r59952bcf5d084fadb741934035455513"><th align="left" class="cellrowborder" valign="top" width="29.32%" id="mcps1.3.3.2.3.1.1"><p id="mrs_01_0388__add7e7f04c2e64ee095458338f1de915c"><strong id="mrs_01_0388__b1212483817394">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="70.67999999999999%" id="mcps1.3.3.2.3.1.2"><p id="mrs_01_0388__a8c45041613794ccc8f5df3510b7a651f"><strong id="mrs_01_0388__ab5884260115a4fc3be7e6de8fcc2d8fa">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0388__r55a8ee59077444a98114003627556cec"><td class="cellrowborder" valign="top" width="29.32%" headers="mcps1.3.3.2.3.1.1 "><p id="mrs_01_0388__ad66c651acc6d442597cf1604f54183f8">productSalesTable</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.67999999999999%" headers="mcps1.3.3.2.3.1.2 "><p id="mrs_01_0388__a5f0b744c1b214e069b3229cc592eeee8">Table name. The table is used to load data for analysis.</p>
+<p id="mrs_01_0388__a67b8521959c545cc9dc890e876a4970c">The table name consists of letters, digits, and underscores (_).</p>
+</td>
+</tr>
+<tr id="mrs_01_0388__r7dd40895e5de451fa625520247f510e9"><td class="cellrowborder" valign="top" width="29.32%" headers="mcps1.3.3.2.3.1.1 "><p id="mrs_01_0388__ac5fdbe998dc44807b99b66e75a5164c3">productdb</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.67999999999999%" headers="mcps1.3.3.2.3.1.2 "><p id="mrs_01_0388__ae651ec505a8c41fb9d634294fd7afd13">Database name. The database maintains logical connections with tables stored in it to identify and manage the tables.</p>
+<p id="mrs_01_0388__af51a69c7c7e242c2b984062949a2bbff">The database name consists of letters, digits, and underscores (_).</p>
+</td>
+</tr>
+<tr id="mrs_01_0388__r206baa4d82ae4b108f3f2e12de72a8cf"><td class="cellrowborder" valign="top" width="29.32%" headers="mcps1.3.3.2.3.1.1 "><p id="mrs_01_0388__en-us_topic_0056202763_p612995833313">productNumber</p>
+<p id="mrs_01_0388__a823644c53de64c739f9dbff45238aa71">productName</p>
+<p id="mrs_01_0388__a9483e634d8f54ed9a41d4cf044107de5">storeCity</p>
+<p id="mrs_01_0388__af317714a9b9847e8b9dd0fa057343ae2">storeProvince</p>
+<p id="mrs_01_0388__a805ac63767704dd5ad31d945e5742c83">revenue</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.67999999999999%" headers="mcps1.3.3.2.3.1.2 "><p id="mrs_01_0388__aa9525d1ef0334c7bb5eaee1a21a66f8c">Columns in the table. The columns are service entities for data analysis.</p>
+<p id="mrs_01_0388__ad05b218e43fd4776a001a63d6f1ffd5c">The column name (field name) consists of letters, digits, and underscores (_).</p>
+<div class="note" id="mrs_01_0388__note532314251324"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0388__p6811324103">In CarbonData, you cannot configure a column's NOT NULL or default value, or the primary key of the table.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_0388__r2ae65d69ffd547ce99cf800438a5d65b"><td class="cellrowborder" valign="top" width="29.32%" headers="mcps1.3.3.2.3.1.1 "><p id="mrs_01_0388__en-us_topic_0056202763_p602436163756">table_blocksize</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.67999999999999%" headers="mcps1.3.3.2.3.1.2 "><p id="mrs_01_0388__ae8a81772a89e44f09cf1bd2206179f9f">Block size of data files used by the CarbonData table. The value ranges from 1 MB to 2048 MB. The default is 1024 MB.</p>
+<ul id="mrs_01_0388__u109abaceaf8c4fbaa9ffc1b98510aef2"><li id="mrs_01_0388__l9c64c8770e92447e80118222b14607c6">If the value of <strong id="mrs_01_0388__en-us_topic_0056202763_b842352706141037">table_blocksize</strong> is too small, a large number of small files will be generated when data is loaded. This may affect the performance in using HDFS.</li><li id="mrs_01_0388__lf68b6c65357e49a7b8427da16e616e4e">If the value of <strong id="mrs_01_0388__en-us_topic_0056202763_b1013963893141356">table_blocksize</strong> is too large, a large volume of data must be read from a block and the read concurrency is low when data is queried. As a result, the query performance deteriorates.</li></ul>
+<p id="mrs_01_0388__adc72ed51abe64a059e4e87a66c353b31">You are advised to set the block size based on the data volume. For example, set the block size to 256 MB for GB-level data, 512 MB for TB-level data, and 1024 MB for PB-level data.</p>
+</td>
+</tr>
+<tr id="mrs_01_0388__r4b77ff362bed41d3a0967e7e3dc05a52"><td class="cellrowborder" valign="top" width="29.32%" headers="mcps1.3.3.2.3.1.1 "><p id="mrs_01_0388__a2134a14aaab24cfe8440d5f758cf2f4c">DICTIONARY_EXCLUDE</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.67999999999999%" headers="mcps1.3.3.2.3.1.2 "><p id="mrs_01_0388__a5e449955b1fe48b0ae209a88dd5be1ae">Specifies the columns that do not generate dictionaries. This function is optional and applicable to columns of high complexity. By default, the system generates dictionaries for columns of the String type. However, as the number of values in the dictionaries increases, conversion operations by the dictionaries increase and the system performance deteriorates.</p>
+<p id="mrs_01_0388__a888378f915f54cb2af4b201482ff6daf">Generally, if a column has over 50,000 unique data records, it is considered as a highly complex column and dictionary generation must be disabled.</p>
+<div class="note" id="mrs_01_0388__nc292433cf7994dcbbe4c010fa31c2bc2"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0388__a75f7557253fd44cabdb3ae917734c5a9">Non-dictionary columns support only the String and Timestamp data types.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_0388__r63bef83b23d94048b9c8d11ca8f14929"><td class="cellrowborder" valign="top" width="29.32%" headers="mcps1.3.3.2.3.1.1 "><p id="mrs_01_0388__a299200c13660457ea4ed18fcfb6ca7a1">DICTIONARY_INCLUDE</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.67999999999999%" headers="mcps1.3.3.2.3.1.2 "><p id="mrs_01_0388__a0d526d7d713a44da91a9127b169fd53e">Specifies the columns that generate dictionaries. This function is optional and applicable to columns of low complexity. It improves the performance of queries with the <strong id="mrs_01_0388__a882237625b93435daa8b89f8e6726fb5">groupby</strong> condition. Generally, the complexity of a dictionary column cannot exceed 50,000.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0385.html">Using CarbonData (for Versions Earlier Than MRS 3.x)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0389.html b/docs/mrs/component-operation-guide/mrs_01_0389.html
new file mode 100644
index 000000000..9f56ca909
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0389.html
@@ -0,0 +1,19 @@
+<a name="mrs_01_0389"></a><a name="mrs_01_0389"></a>
+
+<h1 class="topictitle1">Deleting a CarbonData Table</h1>
+<div id="body1589421630484"><div class="section" id="mrs_01_0389__s867958339e0b4fdfaacc7000eb0377e3"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0389__a809f0b362faf4024b178073bdbc41ddf">Unused CarbonData tables can be deleted. After a CarbonData table is deleted, its metadata and loaded data are deleted together.</p>
+</div>
+<div class="section" id="mrs_01_0389__s21b9a4ba55a54f5d9fc9bac6e5a18856"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0389__of5c06ec6a6a94521b5c5359f69f3ab53"><li id="mrs_01_0389__l7df72879eae94538b08226acc68870aa"><span>Run the following command to delete a CarbonData table:</span><p><p id="mrs_01_0389__aa37e9bdbca464994b871793cae24fe33"><strong id="mrs_01_0389__a84b5ec1aaf6d44f7815cabd9188179e8">DROP TABLE <em id="mrs_01_0389__a180a9e4d4b154c698b747c1f4f9d8a6a">[IF EXISTS] [db_name.]table_name</em>;</strong></p>
+<p id="mrs_01_0389__aaae66cbb766a4034ba03fbfc4eb8d33e"><span class="parmname" id="mrs_01_0389__pe690fac6cbfd48038ecd57504a282960"><b>db_name</b></span> is optional. If <span class="parmname" id="mrs_01_0389__parmname69782734610833"><b>db_name</b></span> is not specified, the table named <span class="parmname" id="mrs_01_0389__parmname6040973110833"><b>table_name</b></span> in the current database is deleted.</p>
+<p id="mrs_01_0389__aa64686ef0701483a9ff2abcacd07a525">For example, run the following command to delete the <span class="parmname" id="mrs_01_0389__en-us_topic_0056202765_parmname142026181153922"><b>productSalesTable</b></span> table in the <span class="parmname" id="mrs_01_0389__en-us_topic_0056202765_parmname160513163153927"><b>productdb</b></span> database:</p>
+<p id="mrs_01_0389__ad140032bf8e24b35a4213dd47ecb9491"><strong id="mrs_01_0389__adebe7a22ca65497d88e4340a2ba74551">DROP TABLE productdb.productSalesTable;</strong></p>
+</p></li><li id="mrs_01_0389__l048e0985e0894fd895220863b34ae80e"><span>Run the following command to confirm that the table is deleted:</span><p><p id="mrs_01_0389__a5e28271d6b484c559e8497e9f3b73452"><strong id="mrs_01_0389__en-us_topic_0056202765_b23950417294">SHOW TABLES;</strong></p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0385.html">Using CarbonData (for Versions Earlier Than MRS 3.x)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0390.html b/docs/mrs/component-operation-guide/mrs_01_0390.html
new file mode 100644
index 000000000..77839a2db
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0390.html
@@ -0,0 +1,47 @@
+<a name="mrs_01_0390"></a><a name="mrs_01_0390"></a>
+
+<h1 class="topictitle1">Using Flume</h1>
+<div id="body1589421630485"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_0397.html">Using Flume from Scratch</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0391.html">Overview</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0392.html">Installing the Flume Client</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0393.html">Viewing Flume Client Logs</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0394.html">Stopping or Uninstalling the Flume Client</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0395.html">Using the Encryption Tool of the Flume Client</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1057.html">Flume Service Configuration Guide</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0396.html">Flume Configuration Parameter Description</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1058.html">Using Environment Variables in the properties.properties File</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1059.html">Non-Encrypted Transmission</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1068.html">Encrypted Transmission</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1596.html">Viewing Flume Client Monitoring Information</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1071.html">Connecting Flume to Kafka in Security Mode</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1072.html">Connecting Flume with Hive in Security Mode</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1073.html">Configuring the Flume Service Model</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1081.html">Introduction to Flume Logs</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1082.html">Flume Client Cgroup Usage Guide</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1083.html">Secondary Development Guide for Flume Third-Party Plug-ins</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1598.html">Common Issues About Flume</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0391.html b/docs/mrs/component-operation-guide/mrs_01_0391.html
new file mode 100644
index 000000000..292d63ad5
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0391.html
@@ -0,0 +1,77 @@
+<a name="mrs_01_0391"></a><a name="mrs_01_0391"></a>
+
+<h1 class="topictitle1">Overview</h1>
+<div id="body1589421630486"><p id="mrs_01_0391__en-us_topic_0061588906_p744234783826">Flume is a distributed, reliable, and highly available system for aggregating massive logs, which can efficiently collect, aggregate, and move massive log data from different data sources and store the data in a centralized data storage system. Various data senders can be customized in the system to collect data. Additionally, Flume provides simple data processes capabilities and writes data to data receivers (which is customizable).</p>
+<p id="mrs_01_0391__a11613af1c125496a97dc1ace752936a1">Flume consists of the client and server, both of which are FlumeAgents. The server corresponds to the FlumeServer instance and is directly deployed in a cluster. The client can be deployed inside or outside the cluster. he client-side and service-side FlumeAgents work independently and provide the same functions.</p>
+<p id="mrs_01_0391__a7f2f3550a45f43b18e72d7666bc30044">The client-side FlumeAgent needs to be independently installed. Data can be directly imported to components such as HDFS and Kafka. Additionally, the client-side and service-side FlumeAgents can also work together to provide services.</p>
+<div class="section" id="mrs_01_0391__saeb097f9e34a4976a6af44ed95abea58"><h4 class="sectiontitle">Process</h4><p id="mrs_01_0391__en-us_topic_0066459129_p201434415950">The process for collecting logs using Flume is as follows:</p>
+<ol id="mrs_01_0391__o0084a1e3f29941c29a2993339f6cc7c0"><li id="mrs_01_0391__l1a76e25944474510bea3d70c90218aa0">Installing the flume client</li><li id="mrs_01_0391__le90e344d7b1b41ee9edc22d308a393ef">Configuring the Flume server and client parameters</li><li id="mrs_01_0391__l80086bc85e2f476db97a049e2c247ce9">Collecting and querying logs using the Flume client</li><li id="mrs_01_0391__le6cde1ee69744d3aa9b0016c1e197ac8">Stopping and uninstalling the Flume client</li></ol>
+<div class="fignone" id="mrs_01_0391__ff0d49cd766b842dc9181f07a7dbbe003"><span class="figcap"><b>Figure 1 </b>Log collection process</span><br><span><img id="mrs_01_0391__image4615195484" src="en-us_image_0000001296090416.png"></span></div>
+</div>
+<div class="section" id="mrs_01_0391__s50832f744dc04f23ac158303fe824c29"><h4 class="sectiontitle">Flume Client</h4><p id="mrs_01_0391__en-us_topic_0066459129_p21883847">A Flume client consists of the source, channel, and sink. The source sends the data to the channel, and then the sink transmits the data from the channel to the external device. <a href="#mrs_01_0391__t3f29550548a749a4831f4ddfc95df002">Table 1</a> describes Flume modules.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0391__t3f29550548a749a4831f4ddfc95df002"></a><a name="t3f29550548a749a4831f4ddfc95df002"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0391__t3f29550548a749a4831f4ddfc95df002" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Module description</caption><thead align="left"><tr id="mrs_01_0391__en-us_topic_0066459129_row5952094"><th align="left" class="cellrowborder" valign="top" width="12.35%" id="mcps1.3.5.3.2.3.1.1"><p id="mrs_01_0391__en-us_topic_0066459129_p12357643"><strong id="mrs_01_0391__b1596217173257">Name</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="87.64999999999999%" id="mcps1.3.5.3.2.3.1.2"><p id="mrs_01_0391__en-us_topic_0066459129_p16134234"><strong id="mrs_01_0391__b1460123152512">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0391__en-us_topic_0066459129_row17805683"><td class="cellrowborder" valign="top" width="12.35%" headers="mcps1.3.5.3.2.3.1.1 "><p id="mrs_01_0391__en-us_topic_0066459129_p32974225">Source</p>
+</td>
+<td class="cellrowborder" valign="top" width="87.64999999999999%" headers="mcps1.3.5.3.2.3.1.2 "><p id="mrs_01_0391__en-us_topic_0066459129_p53666608">A source receives or generates data and sends the data to one or multiple channels. The source can work in either data-driven or polling mode.</p>
+<p id="mrs_01_0391__en-us_topic_0066459129_p13237432">Typical sources include:</p>
+<ul id="mrs_01_0391__en-us_topic_0066459129_ul52028024"><li id="mrs_01_0391__en-us_topic_0066459129_li65599034">Sources that are integrated with the system and receives data, such as Syslog and Netcat</li><li id="mrs_01_0391__en-us_topic_0066459129_li53520400">Sources that automatically generate event data, such as Exec and SEQ</li><li id="mrs_01_0391__en-us_topic_0066459129_li11921553">IPC sources that are used for communication between agents, such as Avro</li></ul>
+<p id="mrs_01_0391__a6f0ca1aff644412e8b9d782cef1b7ebf">A Source must associate with at least one channel.</p>
+</td>
+</tr>
+<tr id="mrs_01_0391__en-us_topic_0066459129_row26121765"><td class="cellrowborder" valign="top" width="12.35%" headers="mcps1.3.5.3.2.3.1.1 "><p id="mrs_01_0391__en-us_topic_0066459129_p35488221">Channel</p>
+</td>
+<td class="cellrowborder" valign="top" width="87.64999999999999%" headers="mcps1.3.5.3.2.3.1.2 "><p id="mrs_01_0391__en-us_topic_0066459129_p55973666">A channel is used to buffer data between a source and a sink. After the sink transmits the data to the next channel or the destination, the cache is deleted automatically.</p>
+<p id="mrs_01_0391__en-us_topic_0066459129_p34000948">The persistency of the channels varies with the channel types:</p>
+<ul id="mrs_01_0391__en-us_topic_0066459129_ul37573083"><li id="mrs_01_0391__en-us_topic_0066459129_li2613431">Memory channel: non-persistency</li><li id="mrs_01_0391__en-us_topic_0066459129_li23520881">File channel: persistency implemented based on write-ahead logging (WAL)</li><li id="mrs_01_0391__en-us_topic_0066459129_li10361338">JDBC channel: persistency implemented based on the embedded database</li></ul>
+<p id="mrs_01_0391__en-us_topic_0066459129_p26143179">Channels support the transaction feature to ensure simple sequential operations. A channel can work with sources and sinks of any quantity.</p>
+</td>
+</tr>
+<tr id="mrs_01_0391__en-us_topic_0066459129_row33962021"><td class="cellrowborder" valign="top" width="12.35%" headers="mcps1.3.5.3.2.3.1.1 "><p id="mrs_01_0391__en-us_topic_0066459129_p66569185">Sink</p>
+</td>
+<td class="cellrowborder" valign="top" width="87.64999999999999%" headers="mcps1.3.5.3.2.3.1.2 "><p id="mrs_01_0391__en-us_topic_0066459129_p23394901">Sink is responsible for sending data to the next hop or final destination and removing the data from the channel after successfully sending the data.</p>
+<p id="mrs_01_0391__en-us_topic_0066459129_p9227524">Typical sinks include:</p>
+<ul id="mrs_01_0391__en-us_topic_0066459129_ul15938858"><li id="mrs_01_0391__en-us_topic_0066459129_li9232000">Sinks that send storage data to the final destination, such as HDFS and Kafka</li><li id="mrs_01_0391__en-us_topic_0066459129_li15979144">Sinks that are consumed automatically, such as Null Sink</li><li id="mrs_01_0391__en-us_topic_0066459129_li9594569">IPC sinks that are used for communication between agents, such as Avro</li></ul>
+<p id="mrs_01_0391__en-us_topic_0066459129_p19242262">A sink must associate with at least one channel.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_0391__en-us_topic_0066459129_p38962630">A Flume client can have multiple sources, channels, and sinks. A source can send data to multiple channels, and then multiple sinks send the data out of the client.</p>
+<p id="mrs_01_0391__en-us_topic_0066459129_p33663369">Multiple Flume clients can be cascaded. That is, a sink can send data to the source of another client.</p>
+</div>
+<div class="section" id="mrs_01_0391__s3a7a28a059b44e9597e419bb677d63c0"><h4 class="sectiontitle">Supplementary Information</h4><ol id="mrs_01_0391__o919c9796ac20436585ca51445dcca2b4"><li id="mrs_01_0391__l339a7d95c4bd46aaac565597bc3990cf">Flume provides the following reliability measures:<ul id="mrs_01_0391__ua51cf54aab0e4bd6aafd49010fec1d4c"><li id="mrs_01_0391__l1bc323c9653640a581564c650bf2cb12">The transaction mechanism is implemented between sources and channels, and between channels and sinks.</li><li id="mrs_01_0391__l5d2ca53ca2f0413b87eb134df0cfc2f3">The sink processor supports the failover and load balancing (load_balance) mechanisms.<div class="p" id="mrs_01_0391__a9371101cc757475f86251bf627626c09"><a name="mrs_01_0391__l5d2ca53ca2f0413b87eb134df0cfc2f3"></a><a name="l5d2ca53ca2f0413b87eb134df0cfc2f3"></a>The following is an example of the load balancing (load_balance) configuration:<pre class="screen" id="mrs_01_0391__s4e7ec3ab0c874727b6bfbfc384df1b3e">server.sinkgroups=g1
+server.sinkgroups.g1.sinks=k1 k2
+server.sinkgroups.g1.processor.type=load_balance
+server.sinkgroups.g1.processor.backoff=true
+server.sinkgroups.g1.processor.selector=random</pre>
+</div>
+</li></ul>
+</li><li id="mrs_01_0391__li99965576489">The following are precautions for the aggregation and cascading of multiple Flume clients:<ul id="mrs_01_0391__u2d4ba708f93444e3a797005317458193"><li id="mrs_01_0391__l3e401da81e974e0598ff5abd63093d36">Avro or Thrift protocol can be used for cascading.</li><li id="mrs_01_0391__lad2bab24113f45cca2d9d2590953d3bb">When the aggregation end contains multiple nodes, evenly distribute the clients to these nodes. Do not connect all the clients to a single node.</li></ul>
+</li><li id="mrs_01_0391__li131082410499">The Flume client can contain multiple independent data flows. That is, multiple sources, channels, and sinks can be configured in the <strong id="mrs_01_0391__b1174163114573">properties.properties</strong> configuration file. These components can be linked to form multiple flows.<p id="mrs_01_0391__p35749558203">For example, to configure two data flows in a configuration, run the following commands:</p>
+<pre class="screen" id="mrs_01_0391__screen104551310152112">server.sources = source1 source2
+server.sinks = sink1 sink2
+server.channels = channel1 channel2
+
+#dataflow1 
+server.sources.source1.channels = channel1
+server.sinks.sink1.channel = channel1
+
+#dataflow2
+server.sources.source2.channels = channel2
+server.sinks.sink2.channel = channel2</pre>
+</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0390.html">Using Flume</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0392.html b/docs/mrs/component-operation-guide/mrs_01_0392.html
new file mode 100644
index 000000000..6e3fece68
--- /dev/null
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@@ -0,0 +1,17 @@
+<a name="mrs_01_0392"></a><a name="mrs_01_0392"></a>
+
+<h1 class="topictitle1">Installing the Flume Client</h1>
+<div id="body1589421630492"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1594.html">Installing the Flume Client on Clusters of Versions Earlier Than MRS 3.x</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1595.html">Installing the Flume Client on MRS 3.x or Later Clusters</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0390.html">Using Flume</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0393.html b/docs/mrs/component-operation-guide/mrs_01_0393.html
new file mode 100644
index 000000000..fefa7d631
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0393.html
@@ -0,0 +1,42 @@
+<a name="mrs_01_0393"></a><a name="mrs_01_0393"></a>
+
+<h1 class="topictitle1">Viewing Flume Client Logs</h1>
+<div id="body1589421630493"><div class="section" id="mrs_01_0393__s88b8fc71cd3c4276927db4939b8a37f0"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0393__a5e7b77dc297b4e1a9821f776cdf01de2">You can view logs to locate faults.</p>
+</div>
+<div class="section" id="mrs_01_0393__sb980112ef4d54a0997f7fee16dc03429"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_0393__ad6f8d9f105c641a2a94fd7aedd290e53">The Flume client has been installed.</p>
+</div>
+<div class="section" id="mrs_01_0393__se8f235e94bb24254a4cbca932c4b647d"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0393__ob4733c5716f14f57b8fb03af6d1115ab"><li id="mrs_01_0393__l8851776110254e1aaee6b74e874509a9"><span>Go to the Flume client log directory (<span class="filepath" id="mrs_01_0393__fa4bc6683206d4a6fb70d20f35b9b6473"><b>/var/log/Bigdata</b></span> by default).</span></li><li id="mrs_01_0393__l996c1d14224542539ff371be9e0267b1"><span>Run the following command to view the log file:</span><p><p id="mrs_01_0393__a3e7b3054e74f4ae9bd0e68d2d3d0ba5a"><strong id="mrs_01_0393__ac96f17763add4388a080952ac948abfc">ls -lR flume-client-*</strong></p>
+<p id="mrs_01_0393__a11185797bf6e4737819cbdc6d5b4d10c">A log file is shown as follows:</p>
+<pre class="screen" id="mrs_01_0393__s62a336e99ce14050b249b24385d3b145">flume-client-1/flume:
+total 7672
+-rw-------. 1 root root       0 Sep  8 19:43 Flume-audit.log
+-rw-------. 1 root root 1562037 Sep 11 06:05 FlumeClient.2017-09-11_04-05-09.[1].log.zip
+-rw-------. 1 root root 6127274 Sep 11 14:47 FlumeClient.log
+-rw-------. 1 root root    2935 Sep  8 22:20 flume-root-20170908202009-pid72456-gc.log.0.current
+-rw-------. 1 root root    2935 Sep  8 22:27 flume-root-20170908202634-pid78789-gc.log.0.current
+-rw-------. 1 root root    4382 Sep  8 22:47 flume-root-20170908203137-pid84925-gc.log.0.current
+-rw-------. 1 root root    4390 Sep  8 23:46 flume-root-20170908204918-pid103920-gc.log.0.current
+-rw-------. 1 root root    3196 Sep  9 10:12 flume-root-20170908215351-pid44372-gc.log.0.current
+-rw-------. 1 root root    2935 Sep  9 10:13 flume-root-20170909101233-pid55119-gc.log.0.current
+-rw-------. 1 root root    6441 Sep  9 11:10 flume-root-20170909101631-pid59301-gc.log.0.current
+-rw-------. 1 root root       0 Sep  9 11:10 flume-root-20170909111009-pid119477-gc.log.0.current
+-rw-------. 1 root root   92896 Sep 11 13:24 flume-root-20170909111126-pid120689-gc.log.0.current
+-rw-------. 1 root root    5588 Sep 11 14:46 flume-root-20170911132445-pid42259-gc.log.0.current
+-rw-------. 1 root root    2576 Sep 11 13:24 prestartDetail.log
+-rw-------. 1 root root    3303 Sep 11 13:24 startDetail.log
+-rw-------. 1 root root    1253 Sep 11 13:24 stopDetail.log
+
+flume-client-1/monitor:
+total 8
+-rw-------. 1 root root  141 Sep  8 19:43 flumeMonitorChecker.log
+-rw-------. 1 root root 2946 Sep 11 13:24 flumeMonitor.log</pre>
+<p id="mrs_01_0393__a9cb43961a0de41c7a8e647531d81b9b8">In the log file, <strong id="mrs_01_0393__af23ad38a3975478899862bc610f6ca75">FlumeClient.log</strong> is the run log of the Flume client.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0390.html">Using Flume</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0394.html b/docs/mrs/component-operation-guide/mrs_01_0394.html
new file mode 100644
index 000000000..6241dd020
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+++ b/docs/mrs/component-operation-guide/mrs_01_0394.html
@@ -0,0 +1,27 @@
+<a name="mrs_01_0394"></a><a name="mrs_01_0394"></a>
+
+<h1 class="topictitle1">Stopping or Uninstalling the Flume Client</h1>
+<div id="body1589421630494"><div class="section" id="mrs_01_0394__s55c24d727b874ee6abd0f7f03b68c7b1"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0394__ae4ba8711a2244dc9bcfba4e5f030ecfc">You can stop and start the Flume client or uninstall the Flume client when the Flume data ingestion channel is not required.</p>
+</div>
+<div class="section" id="mrs_01_0394__s07beb52489454bce883d8062608a73da"><h4 class="sectiontitle">Procedure</h4><ul id="mrs_01_0394__uaffa8fc3f37844049d2738b41bcca7df"><li id="mrs_01_0394__l013f2ad36dff423dbe7a7a5bf61fb23a">Stop the Flume client of the Flume role.<p id="mrs_01_0394__adc7cda9ca0b2413c87f9aeed0e91466e"><a name="mrs_01_0394__l013f2ad36dff423dbe7a7a5bf61fb23a"></a><a name="l013f2ad36dff423dbe7a7a5bf61fb23a"></a>Assume that the Flume client installation path is <span class="filepath" id="mrs_01_0394__f980c77b0732d47219258984687c7d2e6"><b>/opt/FlumeClient</b></span>. Run the following command to stop the Flume client:</p>
+<p id="mrs_01_0394__acec5b3d42b904d5bbf409b3c63687516"><strong id="mrs_01_0394__b56433394712">cd /opt/FlumeClient/fusioninsight-flume-</strong><em id="mrs_01_0394__i096915813471">Flume component version number</em><strong id="mrs_01_0394__b104273712473">/bin</strong></p>
+<p id="mrs_01_0394__ae4d501b35cd04455acc6da1bafeefad4"><strong id="mrs_01_0394__a23f3cb9818044ae1acc175392d7afe6e">./flume-manage.sh stop</strong></p>
+<p id="mrs_01_0394__a811b4b35206044e9b6ec3d3727bf12e4">If the following information is displayed after the command execution, the Flume client is successfully stopped.</p>
+<pre class="screen" id="mrs_01_0394__s3333d84eda774049a8f3e985989945f7">Stop Flume PID=120689 successful..</pre>
+<div class="note" id="mrs_01_0394__nb674489307fb4c658ef26598dcb24633"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0394__ad8c4beb14d744f5a86018c1a5d8afc43">The Flume client will be automatically restarted after being stopped. If you do not need automatic restart, run the following command:</p>
+<p id="mrs_01_0394__abadbb04224be4dc29014808c8cbc5c59"><strong id="mrs_01_0394__ad15edeeea1264931bd716cbb1c1402d6">./flume-manage.sh stop force</strong></p>
+<p id="mrs_01_0394__ac1f40a3f46894759a1ad48a2fc69a1a2">If you want to restart the Flume client, run the following command:</p>
+<p id="mrs_01_0394__aad8aac5c149c401195b671e5ed390de8"><strong id="mrs_01_0394__aa986340e513148c89402eff912e36170">./flume-manage.sh start force</strong></p>
+</div></div>
+</li><li id="mrs_01_0394__li527145122611">Uninstall the Flume client of the Flume role.<p id="mrs_01_0394__ad07873505cd944c4937bd8312969eab9"><a name="mrs_01_0394__li527145122611"></a><a name="li527145122611"></a>Assume that the Flume client installation path is <span class="filepath" id="mrs_01_0394__f03986b7fba794e1585636842ea66893c"><b>/opt/FlumeClient</b></span>. Run the following command to uninstall the Flume client:</p>
+<p id="mrs_01_0394__ab73ad2304535498681e9ae126d7d370a"><strong id="mrs_01_0394__b151951415124714">cd /opt/FlumeClient/fusioninsight-flume-</strong><em id="mrs_01_0394__i9223528184712">Flume component version number</em><strong id="mrs_01_0394__b124751718204712">/inst</strong></p>
+<p id="mrs_01_0394__a928a734b4e3e453ab102d102ec4e282d"><strong id="mrs_01_0394__a9251ae4e913b4ea0b417ba10639f10be">./uninstall.sh</strong></p>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0390.html">Using Flume</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0395.html b/docs/mrs/component-operation-guide/mrs_01_0395.html
new file mode 100644
index 000000000..948343a1b
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@@ -0,0 +1,23 @@
+<a name="mrs_01_0395"></a><a name="mrs_01_0395"></a>
+
+<h1 class="topictitle1">Using the Encryption Tool of the Flume Client</h1>
+<div id="body1589421630495"><div class="section" id="mrs_01_0395__s55c3f97a316444e6b36134c417ab8eab"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0395__a960d51bb41604a2b924688d82ac52b42">You can use the encryption tool provided by the Flume client to encrypt some parameter values in the configuration file.</p>
+</div>
+<div class="section" id="mrs_01_0395__se9242ba07c734351a263eea107331724"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_0395__en-us_topic_0069042429_p276058217201">The Flume client has been installed.</p>
+</div>
+<div class="section" id="mrs_01_0395__sd0bff737a915402e9a871ad44b24879c"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0395__o77ce074188fe466a81e63bdbad3f9c93"><li id="mrs_01_0395__l104f86ac05e2439f8f5d92f2e259f4bf"><span>Log in to the Flume client node and go to the client installation directory, for example, <span class="filepath" id="mrs_01_0395__f528a369d5b4446818e762e3e26867b77"><b>/opt/FlumeClient</b></span>.</span></li><li id="mrs_01_0395__la850c196adc8463b938a2f7b74086cf6"><span>Run the following command to switch the directory:</span><p><p id="mrs_01_0395__a0e7218b971b446ffb06097a4968b704d"><strong id="mrs_01_0395__b18799512506">cd fusioninsight-flume-</strong><em id="mrs_01_0395__i676484016478">Flume component version number</em><strong id="mrs_01_0395__b12805112506">/bin</strong></p>
+</p></li><li id="mrs_01_0395__l38bf2f447334485485009ee2b0f56db0"><span>Run the following command to encrypt information:</span><p><p id="mrs_01_0395__aedfe742e1c0d4628ba9b2d159b29f7fc"><strong id="mrs_01_0395__a9836b5fd040644a79559309896bf1330">./genPwFile.sh</strong></p>
+<p id="mrs_01_0395__ae4d80d8349774378b1edeb13ff5d0e2b">Input the information that you want to encrypt twice.</p>
+</p></li><li id="mrs_01_0395__l777ec4fa20444c8e9e89c6aa01b423bf"><span>Run the following command to query the encrypted information:</span><p><p id="mrs_01_0395__a1982bbd4c23944f583f1cbd27cc2efeb"><strong id="mrs_01_0395__ae4e01b0eb4e3499f89667da2f2784621">cat password.property</strong></p>
+<div class="note" id="mrs_01_0395__n4f035cfbf1c14f0389b098811d3422c1"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0395__a79158588517244c7a44dfb969583808a">If the encryption parameter is used for the Flume server, you need to perform encryption on the corresponding Flume server node. You need to run the encryption script as user <strong id="mrs_01_0395__b91127131510">omm</strong> for encryption.</p>
+<ul id="mrs_01_0395__u2c639ff385be4e83980656c751fbe0fe"><li id="mrs_01_0395__lddf24aa97b5f4d68b92c8b23a897afbd">For versions earlier than MRS 1.9.2, the encryption path is <span class="filepath" id="mrs_01_0395__f4128dffa4aa146c897abd75e1ba2942c"><b>${BIGDATA_HOME}/FusionInsight/FusionInsight-Flume-<span id="mrs_01_0395__text7470648191919"><em id="mrs_01_0395__i684321164915">Flume component version number</em></span>/flume/bin/genPwFile.sh</b></span>.</li><li id="mrs_01_0395__li10508114151117">For versions earlier than MRS 3.x, the encryption path is <span class="filepath" id="mrs_01_0395__filepath13513141491110"><b>/opt/Bigdata/MRS_XXX/install/FusionInsight-Flume-<span id="mrs_01_0395__text105131214131120"><em id="mrs_01_0395__i551271441116">Flume component version number</em></span>/flume/bin/genPwFile.sh</b></span>.</li><li id="mrs_01_0395__la1d4d0a75dd643cbbd5aa2a688913235">For MRS 3.<em id="mrs_01_0395__i112812615308">x</em> or later, the encryption path is <span class="filepath" id="mrs_01_0395__filepath14890632101120"><b>/opt/Bigdata/FusionInsight_Porter_XXX/install/FusionInsight-Flume-<span id="mrs_01_0395__text889112320110"><em id="mrs_01_0395__i189133210114">Flume component version number</em></span>/flume/bin/genPwFile.sh</b></span>. <em id="mrs_01_0395__i10448430113015">XXX</em> indicates the product version number.</li></ul>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0390.html">Using Flume</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0396.html b/docs/mrs/component-operation-guide/mrs_01_0396.html
new file mode 100644
index 000000000..5c4fbf06e
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0396.html
@@ -0,0 +1,1116 @@
+<a name="mrs_01_0396"></a><a name="mrs_01_0396"></a>
+
+<h1 class="topictitle1">Flume Configuration Parameter Description</h1>
+<div id="body1589421630519"><p id="mrs_01_0396__p18797440517">For versions earlier than MRS 3.x, configure Flume parameters in the <strong id="mrs_01_0396__b141671814193117">properties.properties</strong> file.</p>
+<p id="mrs_01_0396__p578615408177">For MRS 3.x or later, some parameters can be configured on Manager.</p>
+<div class="section" id="mrs_01_0396__sc054f7820b7a44bf8ff441600796e7a7"><h4 class="sectiontitle">Overview</h4><p id="mrs_01_0396__aee5bf059f1654c0b9d57ea6afa5f962d">This section describes how to configure the sources, channels, and sinks of Flume, and modify the configuration items of each module.</p>
+<p id="mrs_01_0396__p1799992519214">For MRS 3.x or later, log in to FusionInsight Manager and choose <strong id="mrs_01_0396__b290811223309">Cluster</strong> &gt; <strong id="mrs_01_0396__b185432512304">Services</strong> &gt; <strong id="mrs_01_0396__b7533228113018">Flume</strong>. On the displayed page, click the <strong id="mrs_01_0396__b441634193018">Configuration Tool</strong> tab, select and drag the source, channel, and sink to be used to the GUI on the right, and double-click them to configure corresponding parameters. Parameters such as <strong id="mrs_01_0396__b78471934267">channels</strong> and <strong id="mrs_01_0396__b21031868263">type</strong> are configured only in the client configuration file <strong id="mrs_01_0396__b998713252266">properties.properties</strong>, the path of which is <em id="mrs_01_0396__i19818816210">Flume client installation directory</em><strong id="mrs_01_0396__b177161552162013">/fusioninsight-flume-</strong><span id="mrs_01_0396__text147161552102019"><em id="mrs_01_0396__i21974882117">Flume version</em></span><strong id="mrs_01_0396__b117166520200">/conf/properties.properties</strong>.</p>
+<div class="note" id="mrs_01_0396__nf5dc35ffb7274dbc8c6df7e280c1a980"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0396__a4d2971903e7345ef8dcc4059a8ee7914">You must input encrypted information for some configurations. For details on how to encrypt information, see <a href="mrs_01_0395.html">Using the Encryption Tool of the Flume Client</a>.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0396__s4ad4b577d4164449b1fb6fa42d20f60f"><h4 class="sectiontitle">Common Source Configurations</h4><ul id="mrs_01_0396__u4d8711cf89a749cabf7a113bf218f589"><li id="mrs_01_0396__l3c6e0d66effd42d3aceab1868c7ab7fb"><strong id="mrs_01_0396__afea46997e67d4036a43b3c05b1035b32">Avro Source</strong><p id="mrs_01_0396__a70d2895523a14330b952e080828ccb01">An Avro source listens to the Avro port, receives data from the external Avro client, and places data into configured channels. <a href="#mrs_01_0396__tb4f2cc56cf3945f7bba26f90f1afaa79">Table 1</a> lists common configurations.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0396__tb4f2cc56cf3945f7bba26f90f1afaa79"></a><a name="tb4f2cc56cf3945f7bba26f90f1afaa79"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0396__tb4f2cc56cf3945f7bba26f90f1afaa79" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Common configurations of an Avro source</caption><thead align="left"><tr id="mrs_01_0396__r95b12f9e77fe4f10932363bf4cf676cb"><th align="left" class="cellrowborder" valign="top" width="30.209999999999997%" id="mcps1.3.4.2.1.3.2.4.1.1"><p id="mrs_01_0396__a79d3283c14df4c8ab76e4594c07d91fe"><strong id="mrs_01_0396__ac38afe043f8740c2b3e42f06cb2c76ef">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.4.2.1.3.2.4.1.2"><p id="mrs_01_0396__a074fca8ccf6043aa8fa6ef79a4826302"><strong id="mrs_01_0396__a34efd686ac3044008e17bddea0994a95">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="49.79%" id="mcps1.3.4.2.1.3.2.4.1.3"><p id="mrs_01_0396__a5969528eca5d4b79951f01ab8cf79e7e"><strong id="mrs_01_0396__ae0874bcd8e6645c69e068f4083e096d5">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0396__r31edcca6fe76445fb77d68327851aa77"><td class="cellrowborder" valign="top" width="30.209999999999997%" headers="mcps1.3.4.2.1.3.2.4.1.1 "><p id="mrs_01_0396__ae6695e92559a4c358a818184e54538a5">channels</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.1.3.2.4.1.2 "><p id="mrs_01_0396__a11feb867447c420e98fb7cf2949d06c8"><strong id="mrs_01_0396__a8c13f02c4d6f46b6b48fc6b33c0814fb">-</strong></p>
+</td>
+<td class="cellrowborder" valign="top" width="49.79%" headers="mcps1.3.4.2.1.3.2.4.1.3 "><p id="mrs_01_0396__a3c49c21dcd384a80b88cfd4597cc2342">Specifies the channel connected to the source. Multiple channels can be configured. Use spaces to separate them.</p>
+<p id="mrs_01_0396__en-us_topic_0066459131_p938226317465">In a single proxy process, sources and sinks are connected through channels. A source instance corresponds to multiple channels, but a sink instance corresponds only to one channel.</p>
+<p id="mrs_01_0396__en-us_topic_0066459131_p194537817528">The format is as follows:</p>
+<p id="mrs_01_0396__a611d0f461d044069bd10cc4e354323b5"><strong id="mrs_01_0396__af8ab924e6e2f44efb108303ea7b156e3">&lt;Agent &gt;.sources.&lt;Source&gt;.channels = &lt;channel1&gt; &lt;channel2&gt; &lt;channel3&gt;...</strong></p>
+<p id="mrs_01_0396__afa63d5dc278a4eb3a7b8ef4e3fe933f7"><strong id="mrs_01_0396__a0831e4fe4f344c7b9bf50e08c45bf5cb">&lt;Agent &gt;.sinks.&lt;Sink&gt;.channels = &lt;channel1&gt;</strong></p>
+<p id="mrs_01_0396__p466654513347">This parameter can be configured only in the <strong id="mrs_01_0396__b10952133614299">properties.properties</strong> file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r604d95b589e34326b43b8246961c13a2"><td class="cellrowborder" valign="top" width="30.209999999999997%" headers="mcps1.3.4.2.1.3.2.4.1.1 "><p id="mrs_01_0396__a3426e4f75fe44a6d9dfd6b8a87af0e60">type</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.1.3.2.4.1.2 "><p id="mrs_01_0396__a2eea6991e0754b1790b05d8cba519cf4">avro</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.79%" headers="mcps1.3.4.2.1.3.2.4.1.3 "><p id="mrs_01_0396__adc087181482e49dd89b67dda99d80792">Specifies the type, which is set to <span class="parmvalue" id="mrs_01_0396__p82b69c4f4edf432489a0a6ccaa916eee"><b>avro</b></span>. The type of each source is a fixed value.</p>
+<p id="mrs_01_0396__p62578013512">This parameter can be configured only in the <strong id="mrs_01_0396__b2503124762913">properties.properties</strong> file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r2de7efa6ec874d2a9099dc57c5c749c6"><td class="cellrowborder" valign="top" width="30.209999999999997%" headers="mcps1.3.4.2.1.3.2.4.1.1 "><p id="mrs_01_0396__a8663055e945c4a48878844456b7eea99">bind</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.1.3.2.4.1.2 "><p id="mrs_01_0396__ae1c42f8fd625426b9c0a563b1d030a87">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.79%" headers="mcps1.3.4.2.1.3.2.4.1.3 "><p id="mrs_01_0396__a7c695a28eabd403d9de0f04581d448fc">Specifies the host name or IP address associated with the source.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r2db207cff94c415c9f253b4527d8286b"><td class="cellrowborder" valign="top" width="30.209999999999997%" headers="mcps1.3.4.2.1.3.2.4.1.1 "><p id="mrs_01_0396__a0a625d0e98674d7fafbae79c18ed4a08">port</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.1.3.2.4.1.2 "><p id="mrs_01_0396__a53a8125eba28464eb0d79d62b22f37a6">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.79%" headers="mcps1.3.4.2.1.3.2.4.1.3 "><p id="mrs_01_0396__a2b23da59be8945389e0ed52b4ecdef75">Specifies the bound port number.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__re35f373dc20d47b6a40b838e18aaa06f"><td class="cellrowborder" valign="top" width="30.209999999999997%" headers="mcps1.3.4.2.1.3.2.4.1.1 "><p id="mrs_01_0396__aae0082c633b143b0962b3f544cc00685">ssl</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.1.3.2.4.1.2 "><p id="mrs_01_0396__a1413d624ce174241882aaf9f07a369d2">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.79%" headers="mcps1.3.4.2.1.3.2.4.1.3 "><p id="mrs_01_0396__a4b7eced0ae1c4df290d1469df8b5dd9a">Specifies whether to use SSL encryption.</p>
+<ul id="mrs_01_0396__u12585ab92f9840de98769a8f2b04c52f"><li id="mrs_01_0396__l760e7341007d447b8e7062aba61cddf2">true</li><li id="mrs_01_0396__l565d6a4003a04e6e8c5883918945cce9">false</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_0396__r3b13ac897ac64a31afa6d6cd67617a10"><td class="cellrowborder" valign="top" width="30.209999999999997%" headers="mcps1.3.4.2.1.3.2.4.1.1 "><p id="mrs_01_0396__ac5f4a2d58a734cd69b98d9409dd330f7">truststore-type</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.1.3.2.4.1.2 "><p id="mrs_01_0396__a6c8979bd4f97441b8495e40bab3912a3">JKS</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.79%" headers="mcps1.3.4.2.1.3.2.4.1.3 "><p id="mrs_01_0396__ad5ad2843816949f18cd09a0178c1a457">Specifies the Java trust store type. Set this parameter to <strong id="mrs_01_0396__b11274302510">JKS</strong> or other truststore types supported by Java.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r5e1c7ca9fef0456291a252699801563f"><td class="cellrowborder" valign="top" width="30.209999999999997%" headers="mcps1.3.4.2.1.3.2.4.1.1 "><p id="mrs_01_0396__afaa4c8155ce34fe4b8f5c183155d0880">truststore</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.1.3.2.4.1.2 "><p id="mrs_01_0396__a70c07e177f024ad98e63aee34fe34aa2">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.79%" headers="mcps1.3.4.2.1.3.2.4.1.3 "><p id="mrs_01_0396__acbdbde1cae6342558e1672f7c9df0423">Specifies the Java trust store file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r0fdf81e55cc14f60839ba95e55219eb0"><td class="cellrowborder" valign="top" width="30.209999999999997%" headers="mcps1.3.4.2.1.3.2.4.1.1 "><p id="mrs_01_0396__ada4e930e46f54f8b9c085a013e0bf1fd">truststore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.1.3.2.4.1.2 "><p id="mrs_01_0396__a3c3dbb8156fc46f9a863b5f03fafbafc">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.79%" headers="mcps1.3.4.2.1.3.2.4.1.3 "><p id="mrs_01_0396__addc19a81a38145da8791ada30a3b5fb2">Specifies the Java trust store password.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r3d274aa843a64fc981c1095fcbbce84d"><td class="cellrowborder" valign="top" width="30.209999999999997%" headers="mcps1.3.4.2.1.3.2.4.1.1 "><p id="mrs_01_0396__a2f85ba21081645c2833a80fc92246f58">keystore-type</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.1.3.2.4.1.2 "><p id="mrs_01_0396__a8ad6ac2b9af247f1aef8baee37839a84">JKS</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.79%" headers="mcps1.3.4.2.1.3.2.4.1.3 "><p id="mrs_01_0396__afe92623aa1534606b80ba2b5730c5c9b">Specifies the key storage type. Set this parameter to <strong id="mrs_01_0396__b1637672119511">JKS</strong> or other truststore types supported by Java.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r6cacb30f252d4150a66b934c42b7a328"><td class="cellrowborder" valign="top" width="30.209999999999997%" headers="mcps1.3.4.2.1.3.2.4.1.1 "><p id="mrs_01_0396__aaf504e4a5a384bfeba6ab6f728f7b04a">keystore</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.1.3.2.4.1.2 "><p id="mrs_01_0396__a9870cb5dcb8740b69b3c7f7324820b36">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.79%" headers="mcps1.3.4.2.1.3.2.4.1.3 "><p id="mrs_01_0396__abbd3c10427c840bbb57113d04eea1053">Specifies the key storage file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r07a1888321d248f18b5863917160bafd"><td class="cellrowborder" valign="top" width="30.209999999999997%" headers="mcps1.3.4.2.1.3.2.4.1.1 "><p id="mrs_01_0396__aae6b65b8ad7948a2a35c87cdd65c9470">keystore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.1.3.2.4.1.2 "><p id="mrs_01_0396__a4f0c3f18eb2a4e75baaeb73fcacde8ed">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.79%" headers="mcps1.3.4.2.1.3.2.4.1.3 "><p id="mrs_01_0396__a1c4cb8fab24d42f78422a0b703f57131">Specifies the key storage password.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_0396__la88c6661d2e54dcda88c412b2e8025b3"><strong id="mrs_01_0396__ae4867a44465d4f31a948d4c3c7d64bdb">SpoolDir Source</strong><p id="mrs_01_0396__a74b23f2574724f0daec973974198b6e5">A SpoolDir source monitors and transmits new files that have been added to directories in quasi-real-time mode. Common configurations are as follows:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0396__tdcd54cc71aac48129774ab69dce3bc28" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Common configurations of a SpoolDir source</caption><thead align="left"><tr id="mrs_01_0396__rc0a7ef03beb246d9961d0ba76362669c"><th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.4.2.2.3.2.4.1.1"><p id="mrs_01_0396__abb31cf27f6e84c60acb0cbb29a7b385c"><strong id="mrs_01_0396__a8adfbbaebc0b435f8515edccd6155c50">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.4.2.2.3.2.4.1.2"><p id="mrs_01_0396__a189f4169f1e14db38faf0a7101b621bd"><strong id="mrs_01_0396__ab506c459c9644c408823c70bfbb664fe">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.4.2.2.3.2.4.1.3"><p id="mrs_01_0396__ad1a82f299fcd4f3c959001d0b3e5d079"><strong id="mrs_01_0396__a82bd25be4d5648ab8693842fe7fde8de">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0396__r925a487476084b679b465db42285b9bc"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_0396__abe6f50be881446dda904535cb3c4a8ee">channels</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_0396__a583c71a601294c968e4f2861dd2b683c">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_0396__a49193c0767874180b18f706e7508260e">Specifies the channel connected to the source. Multiple channels can be configured.</p>
+<p id="mrs_01_0396__p179381134165610">This parameter can be configured only in the <strong id="mrs_01_0396__b14621123143014">properties.properties</strong> file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r6db4a07a872142d7a355bd6011f81ce5"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_0396__a21d6a328f1e146b49efc4d72cb066435">type</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_0396__aaf43fca4421a4d3c9807cb5ea12e694c">spooldir</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_0396__a4db268417ca14f5ab6febf5864691642">Type, which is set to <span class="parmvalue" id="mrs_01_0396__parmvalue1797608906162252"><b>spooldir</b></span>.</p>
+<p id="mrs_01_0396__p16967103625616">This parameter can be configured only in the <strong id="mrs_01_0396__b3967193016302">properties.properties</strong> file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r64530bf6c0964c4ea52c43fba6c4e789"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_0396__a7c9e410235534da385b1dbb00bd40597">monTime</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_0396__a4e98807e9c9e41efab0261275a5696d9">0 (Disabled)</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_0396__ae0e09322c15a4dd988cac86fa2bc6f9c">Specifies the thread monitoring threshold. When the update time exceeds the threshold, the source is restarted. Unit: second</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r3d8beb99995741f78ed8e8b1a8ad34d6"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_0396__a7eefd728f119419ca01e559ac5f4c90c">spoolDir</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_0396__a6f77ef29b3184e9aaf2fba37b54c15b0">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_0396__a8383766ae29b41f0b8acb9b4c76ebfaf">Specifies the monitoring directory.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r4020c36fb23640a4bd49c9f64668824a"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_0396__abade680165f44481bd00f45f7bdde449">fileSuffix</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_0396__a43aa794437b34265bb8ea0d72655b8cc">.COMPLETED</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_0396__ade3f8d5ac46544999d5ca4805af17059">Specifies the suffix added after file transmission is complete.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__rcd69060d2d5a42b7a3f2ad8df4110a5b"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_0396__ae8cfe98e76244af0897f7744e1a230ce">deletePolicy</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_0396__a7be5a04556b1463eae321dda172eae05">never</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_0396__a5e463ba36b3341358812417fd4336f75">Specifies the source file deletion policy after file transmission is complete. The value can be either <span class="parmvalue" id="mrs_01_0396__parmvalue1973776866162741"><b>never</b></span> or <span class="parmvalue" id="mrs_01_0396__parmvalue207274888162741"><b>immediate</b></span>.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__ra83bb5d5b78c401d8a6bc67be958bf08"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_0396__ae2f3d448cd4a45839dd6fdb525b7d04a">ignorePattern</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_0396__a3ebb88c8bd2a44e19edd7467333c15fb">^$</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_0396__ad8767aa3e361419e81ba38c61632d600">Specifies the regular expression of a file to be ignored.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r70fc585225304949b04f64ab443ccceb"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_0396__a399ade1e2b2e49ce819ff091e314c2fd">trackerDir</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_0396__aba8d643ee7e34585acbf2128399ff029">.flumespool</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_0396__a49999cebe13744cbaafdb4fedf0f1e34">Specifies the metadata storage path during data transmission.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r3a8323bc71de44f09a80224f5bfc79d4"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_0396__a922bf55f330b41488c20d368c021502f">batchSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_0396__ab21e3e21575a4b0f863ebad413804f87">1000</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_0396__ae47ef8b64dae43d1b8e98188996ad3ea">Specifies the source transmission granularity.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r921c0ab815764f5096ffbc7f900a7eca"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_0396__af3c790c6b9b94e8f9072dc7e0f4a3486">decodeErrorPolicy</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_0396__ab2f64f30a25c4ea4b225eed8e609de67">FAIL</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_0396__a4bc0f407e387498d8a7aec76f05b1707">Specifies the code error policy. This parameter can be configured only in the <strong id="mrs_01_0396__b18620639153012">properties.properties</strong> file.</p>
+<p id="mrs_01_0396__a077e503a47b14d85b5ce4b0e335d7bb6">The value can be <strong id="mrs_01_0396__b7133164701918">FAIL</strong>, <strong id="mrs_01_0396__b1882134910191">REPLACE</strong>, or <strong id="mrs_01_0396__b83621852101917">IGNORE</strong>.</p>
+<p id="mrs_01_0396__a8163ceb19cc641f2938f0b5a0742b938"><strong id="mrs_01_0396__b166070564195">FAIL</strong>: Generate an exception and fail the parsing.</p>
+<p id="mrs_01_0396__aac455ea5c34c4038aafc96b77474c949"><strong id="mrs_01_0396__b1058844115208">REPLACE</strong>: Replace the characters that cannot be identified with other characters, such as U+FFFD.</p>
+<p id="mrs_01_0396__afaa0bc7b08274f1bb1d158243a0d9ce4"><strong id="mrs_01_0396__b199152557209">IGNORE</strong>: Discard character strings that cannot be parsed.</p>
+<div class="note" id="mrs_01_0396__nf128abd49e424b61a331d1cbf9bca083"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0396__ab2824af9101445d1b0040ca6d58eb0e2">If a code error occurs in the file, set <strong id="mrs_01_0396__b112377904825040">decodeErrorPolicy</strong> to <strong id="mrs_01_0396__b119909977925040">REPLACE</strong> or <strong id="mrs_01_0396__b133922835925040">IGNORE</strong>. Flume will skip the code error and continue to collect subsequent logs.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_0396__rb75118b3a9cd484c991c79d488887799"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_0396__ac697301944934bffb730ad0331e6d8f9">deserializer</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_0396__ac3bab9c5a9a54575bb7441b62646cf6d">LINE</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_0396__a5330c8c8f4d04437909ef3ecb8dd5763">Specifies the file parser. The value can be either <span class="parmvalue" id="mrs_01_0396__parmvalue157098364425040"><b>LINE</b></span> or <span class="parmvalue" id="mrs_01_0396__parmvalue93243443925040"><b>BufferedLine</b></span>.</p>
+<ul id="mrs_01_0396__u94c4fccc4ce0464e97f915ef071157ac"><li id="mrs_01_0396__l16e334a7603e48e7af590953939f864d">When the value is set to <span class="parmname" id="mrs_01_0396__p51041a4b2a4b48ba8a637cf407e7bcb1"><b>LINE</b></span>, characters read from the file are transcoded one by one.</li><li id="mrs_01_0396__la972f761aebe4538a04ca57c74d21373">When the value is set to <span class="parmvalue" id="mrs_01_0396__p50ed58ed0f2e422096be0f74a5ae1b45"><b>BufferedLine</b></span>, one line or multiple lines of characters read from the file are transcoded in batches, which delivers better performance.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_0396__rf4cea585325c4720a8cc77f5a78b136e"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_0396__aadcd567df75b4336b61e78537eca29f5">deserializer.maxLineLength</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_0396__afc6c5d7abeb84915822e4df154c5fd8d">2048</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_0396__a32c66d9ffdd141b49c1abe89b530077a">Specifies the maximum length for resolution by line, ranging from 0 to 2,147,483,647.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r9b55b35a7a024e80abed9b8c08c4f8c2"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p914884165858">deserializer.maxBatchLine</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_0396__a64101eabcddf4e2fa918d8424c462543">1</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_0396__a96a8654bf81e44809fcf10bee29ca5d1">Specifies the maximum number of lines for resolution by line. If multiple lines are set, <span class="parmvalue" id="mrs_01_0396__pc2f9bf28d62044899fd69d813f6b7fe8"><b>maxLineLength</b></span> must be set to a corresponding multiplier. For example, if <strong id="mrs_01_0396__b15352111892220">maxBatchLine</strong> is set to <strong id="mrs_01_0396__b19597533142212">2</strong>, <strong id="mrs_01_0396__b1653418249226">maxLineLength</strong> is set to <strong id="mrs_01_0396__b19921235172213">4096</strong> (2048 x 2).</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__ra9fe198347f644aca807b0e0e85d141c"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_0396__ad279464d89b44206af6c0a74423a93ec">selector.type</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_0396__ae0dc7b69f8654d3483fe3ab75133d7bb">replicating</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_0396__a4a709636b86146a89c0f1b680eaa4c18">Specifies the selector type. The value can be either <span class="parmvalue" id="mrs_01_0396__parmvalue75682386417949"><b>replicating</b></span> or <span class="parmvalue" id="mrs_01_0396__parmvalue195801949817949"><b>multiplexing</b></span>.</p>
+<ul id="mrs_01_0396__u7a78d9c83d2b49f4be4ecbcf3d5dc988"><li id="mrs_01_0396__l875bfcffa10c443aa14d23d7da552aa1"><span class="parmvalue" id="mrs_01_0396__pd642f62047744352ab9f76e0564b4fc4"><b>replicating</b></span> indicates that the same content is sent to each channel.</li><li id="mrs_01_0396__l74304b9d9a424282b9b18230d4ad44e3"><span class="parmvalue" id="mrs_01_0396__p42395d6736854e3aa1c80023ab77e5a1"><b>multiplexing</b></span> indicates that the content is sent only to certain channels according to the distribution rule.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_0396__r923f8ce7ad0a4cf5aaf55f01243ed0aa"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_0396__a778e3138fe404571b9efffce2e5df88f">interceptors</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_0396__a328d73fcd3ca47a380b99c237b7ca656">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_0396__a2bdc73924b2e4d819304c9aac8c304d4">Specifies the interceptor. For details, see the <a href="https://flume.apache.org/FlumeUserGuide.html#flume-interceptors" target="_blank" rel="noopener noreferrer">Flume official document</a>.</p>
+<p id="mrs_01_0396__p38761017155719">This parameter can be configured only in the <strong id="mrs_01_0396__b4724134833020">properties.properties</strong> file.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_0396__nfcdaf89ede4c44a981733bca45f329b8"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0396__a0c3457e7591d485d9d1ae981a9336bed">The Spooling source ignores the last line feed character of each event when data is read by line. Therefore, Flume does not calculate the data volume counters used by the last line feed character.</p>
+</div></div>
+</li><li id="mrs_01_0396__l9dc2d0ce9cff4417935d1f94972e7e87"><strong id="mrs_01_0396__aad83445cd2b14e778dc074bfff2a2f33">Kafka Source</strong><p id="mrs_01_0396__aace221dbf8ff457e92e956bfc6d5a08d">A Kafka source consumes data from Kafka topics. Multiple sources can consume data of the same topic, and the sources consume different partitions of the topic. Common configurations are as follows:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0396__t1f7ac743f0b646f8844b243a746b6a4d" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Common configurations of a Kafka source</caption><thead align="left"><tr id="mrs_01_0396__rf5739e1e01e648adb3c7ac3c79acf300"><th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.4.2.3.3.2.4.1.1"><p id="mrs_01_0396__addf5b78cd82d4f15b70fe78dbd2bb595"><strong id="mrs_01_0396__a52fd5301e7e9441fb2976b87178eec75">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.4.2.3.3.2.4.1.2"><p id="mrs_01_0396__a6ba5c809799744499f380e0ba370bee2"><strong id="mrs_01_0396__a92d4975627bf4eb3a31aadd6351c4173">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.4.2.3.3.2.4.1.3"><p id="mrs_01_0396__a6561acc5a9ee41f0b7a43b37f6fcf893"><strong id="mrs_01_0396__ace7f0f90b66c4f528014dd673de30938">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0396__r936d999c7eaf4077a1739d84df8e216d"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_0396__a65a5c12652314886b108352dd7f6471a">channels</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_0396__aaf48ff00ef0b44128850298d5e3f45c2">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_0396__af020007f579d477c83a5fef4c0edae18">Specifies the channel connected to the source. Multiple channels can be configured.</p>
+<p id="mrs_01_0396__p1483925185814">This parameter can be configured only in the <strong id="mrs_01_0396__b1622220599305">properties.properties</strong> file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r551f68ee2d1f418084436f905ebe1740"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_0396__abcf0d826eac646e39551fa0f0bad7934">type</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_0396__a0f483b2e2a0e4aa490e186b69575588f">org.apache.flume.source.kafka.KafkaSource</p>
+<p id="mrs_01_0396__a1bc0a09a53f9494e8df02f94423490da"></p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_0396__ab4458eb89dcb4142b87566b101c95bdb">Specifies the type, which is set to <span class="parmvalue" id="mrs_01_0396__p4acc8544476942a3ab3ebc6a4e87ca43"><b>org.apache.flume.source.kafka.KafkaSource</b></span>.</p>
+<p id="mrs_01_0396__p7997154195814">This parameter can be configured only in the <strong id="mrs_01_0396__b188686683113">properties.properties</strong> file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r33e92b363e57485586a4f1f44612d841"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_0396__aa9568c2cd18c46e4a0567a9b2d1ff370">monTime</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p10022165858">0 (Disabled)</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_0396__en-us_topic_0066459131_p811818165858">Specifies the thread monitoring threshold. When the update time exceeds the threshold, the source is restarted. Unit: second</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__rce16dade0d01446fbb4f8326a37a32a9"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_0396__ab2dc8e99ae5745999e671f3c6621c3a5">nodatatime</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_0396__ac14ca43522cb44e3ada01e54c8b6821e">0 (Disabled)</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_0396__a7105dd5d6df34759b162e7534114fedc">Specifies the alarm threshold. An alarm is triggered when the duration that Kafka does not release data to subscribers exceeds the threshold. Unit: second</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__rc50d41d3adaf46f784e2eb7c393f237f"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_0396__a60378524c60844f28fa5ad2f7d2d71ac">batchSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_0396__ac2b7fde2ccf643ddad2ab0868c0a2aa0">1000</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_0396__aac21be4000a44a69bf2ce886f64322e7">Specifies the number of events written into a channel at a time.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r88260e5cd4d7443783f66a8e0ba7b573"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_0396__a345c6b47bce1407fa423aae43a3be796">batchDurationMillis</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_0396__afbcd8d607bba4dbba5ae3202453de613">1000</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_0396__ae269a13d1cfb401b9b80ea9c5fb87011">Specifies the maximum duration of topic data consumption at a time, expressed in milliseconds.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r4bb740cfcaf24696ae6149d3a30ac7e8"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_0396__a134b7e65766d4a92aa018705c782a7e6">keepTopicInHeader</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_0396__ab1d8c7822be74ec9a9766961abaa4f8a">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_0396__a5da0d1f42d3c472496c31faaa269b167">Specifies whether to save topics in the event header. If topics are saved, topics configured in Kafka sinks become invalid.</p>
+<ul id="mrs_01_0396__u088a8cef109b4d3a9827cc42c273777b"><li id="mrs_01_0396__l1924253414d0429fa90845b1a7ee1d7b">true</li><li id="mrs_01_0396__l6e816f5433c64d23b9fe45dd5800b467">false</li></ul>
+<p id="mrs_01_0396__p20309151619019">This parameter can be configured only in the <strong id="mrs_01_0396__b18149915113114">properties.properties</strong> file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__ra29eef6c4dfb46798c818946039d13f3"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_0396__a151236c7c7ae41b4b959c1d5e4e7a8b7">keepPartitionInHeader</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_0396__a2e4ad00d070344ee91943d0136410a59">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_0396__a31ac0057a74c415d8420ae6af43eb98d">Specifies whether to save partition IDs in the event header. If partition IDs are saved, Kafka sinks write data to the corresponding partitions.</p>
+<ul id="mrs_01_0396__u489c3e99ba90479491f94a33dccfe381"><li id="mrs_01_0396__lc13b1ff5537b4a8ca8a756da8dcf11a0">true</li><li id="mrs_01_0396__l61439b2c5a454fd68035b09e9059de96">false</li></ul>
+<p id="mrs_01_0396__p856714369011">This parameter can be set only in the properties.properties file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r1179794397874f3a9776a3f96b3e46e6"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_0396__a0323365ebf6146f9997f36ce5f3038c7">kafka.bootstrap.servers</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_0396__a578a2bd29f6a423e99683500ca0c7c69">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_0396__a28d56a4673f84747810fb78348570bcf">Specifies the list of Broker addresses, which are separated by commas.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__ra7d7b51a04404857b921c4c9d72cbe22"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_0396__a012d83c28c3d46349c362554d68ddb77">kafka.consumer.group.id</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_0396__ae6bc6f6669094d10ac329acde068fff7">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_0396__a5b4945ad4ec04df089b814d5d940e14b">Specifies the Kafka consumer group ID.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__raff3c84724ed482d8a6e749ad73b3a82"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_0396__aca73a8fc480541c1b6ee5e583898b5f2">kafka.topics</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_0396__a347fb3f56a674f08ae562b7106e381a5">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_0396__ae3f84f1e7925419db0f5509d5db3829a">Specifies the list of subscribed Kafka topics, which are separated by commas (,).</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r0cfe887829734409a1b2c690d9a7999b"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_0396__a2e21c6decde042abaf0e5a57cef2151e">kafka.topics.regex</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_0396__ad35de17590ca48c89c8946682bbb9ff7">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_0396__a80fdbf0055464e768323e99335570175">Specifies the subscribed topics that comply with regular expressions. <strong id="mrs_01_0396__b842352706173325">kafka.topics.regex</strong> has a higher priority than <strong id="mrs_01_0396__b842352706173331">kafka.topics</strong> and will overwrite <strong id="mrs_01_0396__b842352706173431">kafka.topics</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__ra49d559fb5354ef6b70167e5db2aa1b4"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_0396__a7dd1ca88cbad4ee2a32893c345f206f2">kafka.security.protocol</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_0396__afd9c0ff0028148758c69751eb5d0c0a6">SASL_PLAINTEXT</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_0396__aa50e6215245d4f2f9ccf68dd20d52fcd">Specifies the security protocol of Kafka. The value must be set to <span class="parmvalue" id="mrs_01_0396__p31a1d721f69b435cbdf0049b426ccdec"><b>PLAINTEXT</b></span> for clusters in which Kerberos authentication is disabled.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__row44581793257"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_0396__p194601915252">kafka.kerberos.domain.name</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_0396__p1346019182514">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_0396__p54601698254">Specifies the value of <strong id="mrs_01_0396__b54523852516">default_realm</strong> of Kerberos in the Kafka cluster, which should be configured only for security clusters.</p>
+<p id="mrs_01_0396__p5186125016111">This parameter can be set only in the properties.properties file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r07668b1271f54024a2340433ff94e6fb"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_0396__a58be15400e6f4b07818f53278e9991c8">Other Kafka Consumer Properties</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_0396__acfbfe4ca95e147a5ae3588ab63ba990d">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_0396__a557ae6cc32c94a0c8247c3c3ce1bd5cc">Specifies other Kafka configurations. This parameter can be set to any consumption configuration supported by Kafka, and the <span class="parmvalue" id="mrs_01_0396__pf53e06fc8e7d4a2cbe3f92e1a8acc037"><b>.kafka</b></span> prefix must be added to the configuration.</p>
+<p id="mrs_01_0396__p105763466116">This parameter can be set only in the properties.properties file.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_0396__l26f5ba2898484132ae29a1311a3a7f3b"><strong id="mrs_01_0396__a8319a9e3b9f04c35b139dfe2c60772c0">Taildir Source</strong><p id="mrs_01_0396__ac8fe9b9c3b1b4a2ea69a95d095f267f5">A Taildir source monitors file changes in a directory and automatically reads the file content. In addition, it can transmit data in real time. <a href="#mrs_01_0396__t2c85090722c4451682fad2657a7bdc35">Table 4</a> lists common configurations.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0396__t2c85090722c4451682fad2657a7bdc35"></a><a name="t2c85090722c4451682fad2657a7bdc35"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0396__t2c85090722c4451682fad2657a7bdc35" frame="border" border="1" rules="all"><caption><b>Table 4 </b>Common configurations of a Taildir source</caption><thead align="left"><tr id="mrs_01_0396__r04e6e8a6c378446da7da5086ed88d715"><th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.4.2.4.3.2.4.1.1"><p id="mrs_01_0396__a20af2b72d6b04711a71b34480ec06ec6"><strong id="mrs_01_0396__ae90645de27514b14a28d2efb4e4aee26">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="19.950000000000003%" id="mcps1.3.4.2.4.3.2.4.1.2"><p id="mrs_01_0396__a7d0a1297bc744fea9f884e3a99f3297b"><strong id="mrs_01_0396__ac5490e8aa9894f648abc04f4caf07d13">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50.05%" id="mcps1.3.4.2.4.3.2.4.1.3"><p id="mrs_01_0396__a31e4fd61aab24cf8bd3c071ef2a4ce41"><strong id="mrs_01_0396__a482ccb6681eb49b78c526ccfc92f8810">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0396__r9b778ecf252646ab8fffd7fbf280243a"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.4.3.2.4.1.1 "><p id="mrs_01_0396__aaf9e9494e3b246a583de27cf89d5b75f"><span id="mrs_01_0396__p0b6947e29867421b9919d5f6f5872c66">channels</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="19.950000000000003%" headers="mcps1.3.4.2.4.3.2.4.1.2 "><p id="mrs_01_0396__a485c777d050543f9b277d515b4e9a90f"><span id="mrs_01_0396__p7031fa9c082b42a2bf22982e967c02c4">-</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="50.05%" headers="mcps1.3.4.2.4.3.2.4.1.3 "><p id="mrs_01_0396__a58715099e69f4ac781c02691a9f5b1a1">Specifies the channel connected to the source. Multiple channels can be configured.</p>
+<p id="mrs_01_0396__p17347152919611">This parameter can be set only in the properties.properties file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__raa6ae4b8664b4e70a8da14c32432b4d8"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.4.3.2.4.1.1 "><p id="mrs_01_0396__ae62ab04fdbc44fa2a7bee5693c621756"><span id="mrs_01_0396__p5bfcbbae00264eb6b6c62097e09e8f11">type</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="19.950000000000003%" headers="mcps1.3.4.2.4.3.2.4.1.2 "><p id="mrs_01_0396__a830edb6cf7054b12a0ba656d2c299680">taildir</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.05%" headers="mcps1.3.4.2.4.3.2.4.1.3 "><p id="mrs_01_0396__ae440c774df324f2d9516449860c463e8">Specifies the type, which is set to <span class="parmvalue" id="mrs_01_0396__parmvalue2068945869174211"><b>taildir</b></span>.</p>
+<p id="mrs_01_0396__p102687312067">This parameter can be set only in the properties.properties file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r285c6aa7661043d19e4833ac39114843"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.4.3.2.4.1.1 "><p id="mrs_01_0396__a3d35da52d63d46649d15a29e4871981b">filegroups</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.950000000000003%" headers="mcps1.3.4.2.4.3.2.4.1.2 "><p id="mrs_01_0396__ac8064d8657ee4ab097c35b4857ed4ac9">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.05%" headers="mcps1.3.4.2.4.3.2.4.1.3 "><p id="mrs_01_0396__a31740878ca4043e2bad1534597c151f3">Specifies the group name of a collection file directory. Group names are separated by spaces.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r5bb6544114e446c49983b6e615e5e078"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.4.3.2.4.1.1 "><p id="mrs_01_0396__aba7e8edcefac43a69175e2ee2fd072cc">filegroups.&lt;filegroupName&gt;.parentDir</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.950000000000003%" headers="mcps1.3.4.2.4.3.2.4.1.2 "><p id="mrs_01_0396__ae2cfeb26bbae45018c5fe10ea82b8ec8">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.05%" headers="mcps1.3.4.2.4.3.2.4.1.3 "><p id="mrs_01_0396__a9815719cf3404a5bb79e7adea2cbc3f2">Specifies the parent directory. The value must be an absolute path.</p>
+<p id="mrs_01_0396__p208119248811">This parameter can be set only in the properties.properties file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r3708ff735c1e4cda8f7d80817ad2768d"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.4.3.2.4.1.1 "><p id="mrs_01_0396__a869abac9343c4887bf0b1d31f9cdfcea">filegroups.&lt;filegroupName&gt;.filePattern</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.950000000000003%" headers="mcps1.3.4.2.4.3.2.4.1.2 "><p id="mrs_01_0396__ad2fa7cabbd42470a9207f9cbcd115944">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.05%" headers="mcps1.3.4.2.4.3.2.4.1.3 "><p id="mrs_01_0396__a929285d3c75e4213bd8d1055e4fffd0a">Specifies the relative file path of the file group's parent directory. Directories can be included and regular expressions are supported. It must be used together with <strong id="mrs_01_0396__b50158061425041">parentDir</strong>.</p>
+<p id="mrs_01_0396__p2104430182">This parameter can be set only in the properties.properties file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r1245fc762022410ea3e05399bfdf30fa"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.4.3.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p440251165858">positionFile</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.950000000000003%" headers="mcps1.3.4.2.4.3.2.4.1.2 "><p id="mrs_01_0396__a75a7cb945c4e44e89575db75f73b955e">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.05%" headers="mcps1.3.4.2.4.3.2.4.1.3 "><p id="mrs_01_0396__acfe29b9b8d4e48d28e4bb05a212b1f62">Specifies the metadata storage path during data transmission.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__ra4c8ebc16e774b859b2fd8ac7e5bc789"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.4.3.2.4.1.1 "><p id="mrs_01_0396__a3528007b997b4a7d87aead7846e6e2fd">headers.&lt;filegroupName&gt;.&lt;headerKey&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.950000000000003%" headers="mcps1.3.4.2.4.3.2.4.1.2 "><p id="mrs_01_0396__af614e1e22e7b42f785b556ad6331f29c">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.05%" headers="mcps1.3.4.2.4.3.2.4.1.3 "><p id="mrs_01_0396__a39c7431b12d948b391aafb5fe261f478">Specifies the key-value of an event when data of a group is being collected.</p>
+<p id="mrs_01_0396__p98502021694">This parameter can be set only in the properties.properties file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__rb89a7fdf6df1407082d59b563f9008c2"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.4.3.2.4.1.1 "><p id="mrs_01_0396__a2d7e3d8a4eb14cab9dc77c030cd61a76">byteOffsetHeader</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.950000000000003%" headers="mcps1.3.4.2.4.3.2.4.1.2 "><p id="mrs_01_0396__a895aaff860a5491dbcf4d37f8bae8f88">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.05%" headers="mcps1.3.4.2.4.3.2.4.1.3 "><p id="mrs_01_0396__a167bc9b1f64f4b45b2c247f502569d10">Specifies whether each event header should contain the location information about the event in the source file. The location information is saved in the <span class="parmname" id="mrs_01_0396__p6e660086a567481f9cb7660f10cf19ad"><b>byteoffset</b></span> variable.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r8e7344f01f364d508df3c09aa1f96a88"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.4.3.2.4.1.1 "><p id="mrs_01_0396__a36ec1439b51e4a13a0b799e1547b5ba6">skipToEnd</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.950000000000003%" headers="mcps1.3.4.2.4.3.2.4.1.2 "><p id="mrs_01_0396__acdeab4d5592a4e4f94768847ff856370">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.05%" headers="mcps1.3.4.2.4.3.2.4.1.3 "><p id="mrs_01_0396__a26e143bf898646c1a0743a2ea1bc4560">Specifies whether Flume can locate the latest location of a file and read the latest data after restart.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__rb2a099c6ab4d45bf8a72b17beefc24c7"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.4.3.2.4.1.1 "><p id="mrs_01_0396__a1c3bcf31c1944aa3a6b6ac00359a939e">idleTimeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.950000000000003%" headers="mcps1.3.4.2.4.3.2.4.1.2 "><p id="mrs_01_0396__abd724a40f53146d8b3866f7a17721e89">120000</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.05%" headers="mcps1.3.4.2.4.3.2.4.1.3 "><p id="mrs_01_0396__a049fa63ad3324427b7868908883f243e">Specifies the idle duration during file reading, expressed in milliseconds. If the file data is not changed in this idle period, the source closes the file. If data is written into this file after it is closed, the source opens the file and reads data.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r4282ca0909a140f2ac9bb24f8420ee96"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.4.3.2.4.1.1 "><p id="mrs_01_0396__a25fb3e740649401ba201c65065735f40">writePosInterval</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.950000000000003%" headers="mcps1.3.4.2.4.3.2.4.1.2 "><p id="mrs_01_0396__a4dd2984b49e2423494329fca05cbd68f">3000</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.05%" headers="mcps1.3.4.2.4.3.2.4.1.3 "><p id="mrs_01_0396__a2a77a90f8cd241e788774a5dfa16cfe4">Specifies the interval for writing metadata to a file, expressed in milliseconds.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r6336d2c0900a4b8cb6da9b41fd4b74fb"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.4.3.2.4.1.1 "><p id="mrs_01_0396__a46b9d3c0153346a2a43328599d8861ad">batchSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.950000000000003%" headers="mcps1.3.4.2.4.3.2.4.1.2 "><p id="mrs_01_0396__a41d48491883f4335bf43e39eacfbc85d">1000</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.05%" headers="mcps1.3.4.2.4.3.2.4.1.3 "><p id="mrs_01_0396__a2c62944cdb9a48ce8bf3565941e2155f">Specifies the number of events written to the channel in batches.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__rf9fdd68ae4f34cf08af5a1d2a62964af"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.4.3.2.4.1.1 "><p id="mrs_01_0396__aa4eaa806840f49ac89974f2464f006fb"><span id="mrs_01_0396__p3649447c030b418b8caba0e974cc5bd6">monTime</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="19.950000000000003%" headers="mcps1.3.4.2.4.3.2.4.1.2 "><p id="mrs_01_0396__af2d5eb39ed9b4be7833262d716b9ea7d"><span id="mrs_01_0396__pb9b1a91154a94322b95dea7242ef6547">0 (Disabled)</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="50.05%" headers="mcps1.3.4.2.4.3.2.4.1.3 "><p id="mrs_01_0396__a0dd1c41079c54f46bf73836e4434242d">Specifies the thread monitoring threshold. When the update time exceeds the threshold, the source is restarted. Unit: second</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_0396__l09badd53b1364a2ba2641e40f9ea6fd2"><strong id="mrs_01_0396__a9b7ae6cf50ea4f269e1930c5495a2fc5">Http Source</strong><p id="mrs_01_0396__a4a14170d471144c4a0895f459c757a36">An HTTP source receives data from an external HTTP client and sends the data to the configured channels. <a href="#mrs_01_0396__t033eef1276424185b1cfd10a7d4e024f">Table 5</a> lists common configurations.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0396__t033eef1276424185b1cfd10a7d4e024f"></a><a name="t033eef1276424185b1cfd10a7d4e024f"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0396__t033eef1276424185b1cfd10a7d4e024f" frame="border" border="1" rules="all"><caption><b>Table 5 </b>Common configurations of an HTTP source</caption><thead align="left"><tr id="mrs_01_0396__rbfd2b8ae09464420a872393daca8a1a0"><th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.4.2.5.3.2.4.1.1"><p id="mrs_01_0396__a5899ba527015427cb3a770191efde138"><strong id="mrs_01_0396__ae987d4b4ae2c424ea02473fd3fcebd04">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.4.2.5.3.2.4.1.2"><p id="mrs_01_0396__ae5d4f302edd4472c8beeb9e228f340ea"><strong id="mrs_01_0396__ade302d53a6fd44fc88788382826e53f7">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.4.2.5.3.2.4.1.3"><p id="mrs_01_0396__a25f09b3888ea4810a6423b31462431c9"><strong id="mrs_01_0396__ac1c0a90961eb4e87bc9e47815c6d34c4">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0396__rb2f4c2fcd26e436c893cd9fd34ff4eda"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.5.3.2.4.1.1 "><p id="mrs_01_0396__abca43b42e44b4e3a86fa5cbd7b373603">channels</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.3.2.4.1.2 "><p id="mrs_01_0396__ac7b945b508b04b2688649f97b3ee602d">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.5.3.2.4.1.3 "><p id="mrs_01_0396__a256de339f97440f09419a69a4deed709">Specifies the channel connected to the source. Multiple channels can be configured. This parameter can be set only in the properties.properties file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__re7931ec8d3f74615b961fcc49a1849b7"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.5.3.2.4.1.1 "><p id="mrs_01_0396__a6825dcc16fba4d34a22566eefe8592db">type</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.3.2.4.1.2 "><p id="mrs_01_0396__ac53c48f837b549beaf1633ebe35e48e6">http</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.5.3.2.4.1.3 "><p id="mrs_01_0396__a150440c2de204164a9911d02404f72e0">Specifies the type, which is set to <span class="parmvalue" id="mrs_01_0396__parmvalue3668670989133"><b>http</b></span>. This parameter can be set only in the properties.properties file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r6bbb3e1c166d4333876a6fa6d655d5fc"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.5.3.2.4.1.1 "><p id="mrs_01_0396__a05bf50afd2ae4872a246b4c331f92f03">bind</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.3.2.4.1.2 "><p id="mrs_01_0396__a00a0938b2a434d878974ee2281a1ae15">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.5.3.2.4.1.3 "><p id="mrs_01_0396__a99071feaf6ed4158a356dcb686508b58">Specifies the name or IP address of the bound host.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__rf1ca49dad4084aeda8eb34c740431ed0"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.5.3.2.4.1.1 "><p id="mrs_01_0396__a3ebfb6d139934cc7be875ff24f65140e">port</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.3.2.4.1.2 "><p id="mrs_01_0396__a268563dfc02e4effb67f2aaec1e689dc">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.5.3.2.4.1.3 "><p id="mrs_01_0396__a6896178fab0840a08ab04c3408110abf">Specifies the bound port.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__rb1617a8ca5f247f59b67b0d0d9fa4272"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.5.3.2.4.1.1 "><p id="mrs_01_0396__a388a24688e2c467e98a5ea8cb9141e16">handler</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.3.2.4.1.2 "><p id="mrs_01_0396__aba1158ce78144ee6bdc57039e49b7749">org.apache.flume.source.http.JSONHandler</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.5.3.2.4.1.3 "><p id="mrs_01_0396__af9131cd16db84c8abe357c24527bca90">Specifies the message parsing method of an HTTP request. The following methods are supported:</p>
+<ul id="mrs_01_0396__u00adfbb8387b484683bb7cf15f06a64f"><li id="mrs_01_0396__l9b9dd93c583949109510686c72d0579b"><span class="parmvalue" id="mrs_01_0396__pfa8ba599d4034d19bc5611c8000970ec"><b>org.apache.flume.source.http.JSONHandler</b></span>: JSON</li><li id="mrs_01_0396__l7fd04f4984a04c33b7040a5e59cdb022"><span class="parmvalue" id="mrs_01_0396__pd85fe29a10e84e52b175b075317ce4b0"><b>org.apache.flume.sink.solr.morphline.BlobHandler</b></span>: BLOB</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_0396__r40b879a3564e40bcb4aad3b457e743bf"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.5.3.2.4.1.1 "><p id="mrs_01_0396__a4d3f859e11ae413b817aa7f194551edc">handler.*</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.3.2.4.1.2 "><p id="mrs_01_0396__a0ab182b5779a479c98bf09fb61ea1d98">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.5.3.2.4.1.3 "><p id="mrs_01_0396__a30cf681c5ca34dc9bb7d3edea49b364f">Specifies handler parameters.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r3541737adb98421a97465575f809592c"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.5.3.2.4.1.1 "><p id="mrs_01_0396__a8cb930a1fa1f473b99c8687f7e0c74e1">enableSSL</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.3.2.4.1.2 "><p id="mrs_01_0396__a4319b837af1443fa95ff221328bcd199">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.5.3.2.4.1.3 "><p id="mrs_01_0396__a8f54807f6c5f4f5796d4e87afd88956c">Specifies whether SSL is enabled in HTTP.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__reaa15e33b1844fad9ecec0fa12afed3e"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.5.3.2.4.1.1 "><p id="mrs_01_0396__aa6fa25e5dceb473c9779b865e2c76853">keystore</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.3.2.4.1.2 "><p id="mrs_01_0396__a89e4f69ffeda4c1c80aa9c6453ece143">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.5.3.2.4.1.3 "><p id="mrs_01_0396__a8dd16915e1ef4b17b66b8678c576f99b">Specifies the keystore path set after SSL is enabled in HTTP.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r732edf88e3e047579c702dca2282b2b9"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.5.3.2.4.1.1 "><p id="mrs_01_0396__ad9914f5144104b09aa173bd1df748c71">keystorePassword</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.3.2.4.1.2 "><p id="mrs_01_0396__ab299af5bb0314eedac956c309555a5ab">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.5.3.2.4.1.3 "><p id="mrs_01_0396__a5b0ab9d977af4d798534e7a1254b59cc">Specifies the keystore password set after SSL is enabled in HTTP.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_0396__s252653025d9a4363a2d6f53fa9c1c20d"><h4 class="sectiontitle">Common Channel Configurations</h4><ul id="mrs_01_0396__uee652512defc4096add16324f43179c6"><li id="mrs_01_0396__lad82e502aeae4a4798a09e7b033e3db3"><strong id="mrs_01_0396__en-us_topic_0066459131_b220268241758">Memory Channel</strong><p id="mrs_01_0396__en-us_topic_0066459131_p640236961758">A memory channel uses memory as the cache. Events are stored in memory queues. <a href="#mrs_01_0396__tc1421df5bc6c415ca490e671ea935f85">Table 6</a> lists common configurations.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0396__tc1421df5bc6c415ca490e671ea935f85"></a><a name="tc1421df5bc6c415ca490e671ea935f85"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0396__tc1421df5bc6c415ca490e671ea935f85" frame="border" border="1" rules="all"><caption><b>Table 6 </b>Common configurations of a memory channel</caption><thead align="left"><tr id="mrs_01_0396__ra791bc5ce68641fc9257a2a04e53342a"><th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.5.2.1.3.2.4.1.1"><p id="mrs_01_0396__en-us_topic_0066459131_p194642081758"><strong id="mrs_01_0396__en-us_topic_0066459131_b245323111758">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.5.2.1.3.2.4.1.2"><p id="mrs_01_0396__en-us_topic_0066459131_p294379441758"><strong id="mrs_01_0396__en-us_topic_0066459131_b330970441758">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.5.2.1.3.2.4.1.3"><p id="mrs_01_0396__en-us_topic_0066459131_p525339371758"><strong id="mrs_01_0396__en-us_topic_0066459131_b356632651758">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0396__r2197ee0b8023489c95c9de610c23887e"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.5.2.1.3.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p40372161758">type</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.2.1.3.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p585790501758">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.1.3.2.4.1.3 "><p id="mrs_01_0396__en-us_topic_0066459131_p472825921758">Specifies the type, which is set to <span class="parmvalue" id="mrs_01_0396__pf2d9c3344bf443129fcd4fc2ab0ad90f"><b>memory</b></span>. This parameter can be set only in the properties.properties file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__ree76cea1cb4b4bc0a2099ad384d0d855"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.5.2.1.3.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p421630201758">capacity</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.2.1.3.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p597614891758">10000</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.1.3.2.4.1.3 "><p id="mrs_01_0396__en-us_topic_0066459131_p88424631758">Specifies the maximum number of events cached in a channel.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__rce4169d8c0ee437190c23511cc60dbe5"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.5.2.1.3.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p37047091758">transactionCapacity</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.2.1.3.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p316460311758">1000</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.1.3.2.4.1.3 "><p id="mrs_01_0396__en-us_topic_0066459131_p131917091758">Specifies the maximum number of events accessed each time.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r06153a55cf2942c48cc5e5b7d31cee03"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.5.2.1.3.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p201886971758">channelfullcount</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.2.1.3.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p246717781758">10</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.1.3.2.4.1.3 "><p id="mrs_01_0396__en-us_topic_0066459131_p522569711758">Specifies the channel full count. When the count reaches the threshold, an alarm is reported.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_0396__l11a4f63a76cb4033b39eb5bb7390cd9b"><strong id="mrs_01_0396__en-us_topic_0066459131_b652127661758">File Channel</strong><p id="mrs_01_0396__en-us_topic_0066459131_p500439871758">A file channel uses local disks as the cache. Events are stored in the folder specified by <span class="parmname" id="mrs_01_0396__p5206882b97cb45a8b8e19de96c60f3b2"><b>dataDirs</b></span>. <a href="#mrs_01_0396__td180d6190e86420d8779010b90877938">Table 7</a> lists common configurations.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0396__td180d6190e86420d8779010b90877938"></a><a name="td180d6190e86420d8779010b90877938"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0396__td180d6190e86420d8779010b90877938" frame="border" border="1" rules="all"><caption><b>Table 7 </b>Common configurations of a file channel</caption><thead align="left"><tr id="mrs_01_0396__rba03767d0a94493f8d32691885da14cb"><th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.5.2.2.3.2.4.1.1"><p id="mrs_01_0396__en-us_topic_0066459131_p498158311758"><strong id="mrs_01_0396__en-us_topic_0066459131_b428177941758">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.5.2.2.3.2.4.1.2"><p id="mrs_01_0396__en-us_topic_0066459131_p98456381758"><strong id="mrs_01_0396__en-us_topic_0066459131_b85505001758">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.5.2.2.3.2.4.1.3"><p id="mrs_01_0396__en-us_topic_0066459131_p639308151758"><strong id="mrs_01_0396__en-us_topic_0066459131_b592992071758">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0396__re81019e665f54a70ad25c0f0772a6d38"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.5.2.2.3.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p196810201758">type</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.2.2.3.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p506588201758">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.2.3.2.4.1.3 "><p id="mrs_01_0396__en-us_topic_0066459131_p97237401758">Specifies the type, which is set to <span class="parmvalue" id="mrs_01_0396__p0a5d7d000b214e89a67d1228896dd2da"><b>file</b></span>. This parameter can be set only in the properties.properties file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r9f939ffdd17540b48e5d05566b7bc5b9"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.5.2.2.3.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p421758891758">checkpointDir</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.2.2.3.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p608038491758">${BIGDATA_DATA_HOME}/flume/checkpoint</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.2.3.2.4.1.3 "><p id="mrs_01_0396__en-us_topic_0066459131_p389699911758">Specifies the checkpoint storage directory.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r3a88c82306eb402ca801c928f821e725"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.5.2.2.3.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p220743101758">dataDirs</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.2.2.3.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p431886571758">${BIGDATA_DATA_HOME}/flume/data</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.2.3.2.4.1.3 "><p id="mrs_01_0396__en-us_topic_0066459131_p271583691758">Specifies the data cache directory. Multiple directories can be configured to improve performance. The directories are separated by commas (,).</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__re8eb79d0858f4b569bd24cf68fb18a66"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.5.2.2.3.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p13367481758">maxFileSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.2.2.3.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p411677971758">2146435071</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.2.3.2.4.1.3 "><p id="mrs_01_0396__en-us_topic_0066459131_p462572661758">Specifies the maximum size of a single cache file, expressed in bytes.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r7807c7528a024500ad553bb5c5494066"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.5.2.2.3.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p328977111758">minimumRequiredSpace</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.2.2.3.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p474689261758">524288000</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.2.3.2.4.1.3 "><p id="mrs_01_0396__en-us_topic_0066459131_p197778221758">Specifies the minimum idle space in the cache, expressed in bytes.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r7981be9bee8b46678107cadebb35288c"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.5.2.2.3.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p567358561758">capacity</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.2.2.3.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p322015841758">1000000</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.2.3.2.4.1.3 "><p id="mrs_01_0396__en-us_topic_0066459131_p581914841758">Specifies the maximum number of events cached in a channel.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__rdc01741f99234fbcb46c299303c50c00"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.5.2.2.3.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p87903811758">transactionCapacity</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.2.2.3.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p409322801758">10000</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.2.3.2.4.1.3 "><p id="mrs_01_0396__en-us_topic_0066459131_p271803961758">Specifies the maximum number of events accessed each time.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r2769cd7d5774439284efc3622f36a286"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.5.2.2.3.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p173938391758">channelfullcount</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.2.2.3.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p667237271758">10</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.2.3.2.4.1.3 "><p id="mrs_01_0396__en-us_topic_0066459131_p359127871758">Specifies the channel full count. When the count reaches the threshold, an alarm is reported.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_0396__l0a403f840e63476a972a45b52d1c8460"><strong id="mrs_01_0396__en-us_topic_0066459131_b379825501758">Kafka Channel</strong><div class="p" id="mrs_01_0396__en-us_topic_0066459131_p337651051758">A Kafka channel uses a Kafka cluster as the cache. Kafka provides high availability and multiple copies to prevent data from being immediately consumed by sinks when Flume or Kafka Broker crashes. <a href="#mrs_01_0396__ta58e4ea5e98446418e498b81cf0c75b7">Table 10 Common configurations of a Kafka channel</a> lists common configurations.
+<div class="tablenoborder"><a name="mrs_01_0396__ta58e4ea5e98446418e498b81cf0c75b7"></a><a name="ta58e4ea5e98446418e498b81cf0c75b7"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0396__ta58e4ea5e98446418e498b81cf0c75b7" frame="border" border="1" rules="all"><caption><b>Table 8 </b>Common configurations of a Kafka channel</caption><thead align="left"><tr id="mrs_01_0396__rff4c69fc6ac048a3b6106d552dab78a4"><th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.5.2.3.2.2.2.4.1.1"><p id="mrs_01_0396__en-us_topic_0066459131_p105045311758"><strong id="mrs_01_0396__a61555af3d5db41c3a25e5f9712d831b2">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.5.2.3.2.2.2.4.1.2"><p id="mrs_01_0396__en-us_topic_0066459131_p73927981758"><strong id="mrs_01_0396__a8433a23373cd4422a387a594213956f7">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.5.2.3.2.2.2.4.1.3"><p id="mrs_01_0396__en-us_topic_0066459131_p206406681758"><strong id="mrs_01_0396__acee38f6d383743328a29455c204b7022">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0396__rb209da814106468ba942b148c701ce13"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.5.2.3.2.2.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p648505311758">type</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.2.3.2.2.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p184016431758">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.3.2.2.2.4.1.3 "><p id="mrs_01_0396__en-us_topic_0066459131_p601339601758">Specifies the type, which is set to <span class="parmvalue" id="mrs_01_0396__pa302307c05d1434094a68f30595f6e8d"><b>org.apache.flume.channel.kafka.KafkaChannel</b></span>.</p>
+<p id="mrs_01_0396__p2906432172213">This parameter can be set only in the properties.properties file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r93c1fc7e14974e9eafe6c2dafc088962"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.5.2.3.2.2.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p155690131758">kafka.bootstrap.servers</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.2.3.2.2.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p531305751758">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.3.2.2.2.4.1.3 "><p id="mrs_01_0396__en-us_topic_0066459131_p86093461758">Specifies the list of Brokers in the Kafka cluster.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r70c08faa517445f7ab40169a365a998f"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.5.2.3.2.2.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p350890541758">kafka.topic</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.2.3.2.2.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p236411081758">flume-channel</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.3.2.2.2.4.1.3 "><p id="mrs_01_0396__en-us_topic_0066459131_p358816321758">Specifies the Kafka topic used by the channel to cache data.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__rdc7cec1d498d49b6a7ab575ced85c934"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.5.2.3.2.2.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p523617011758">kafka.consumer.group.id</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.2.3.2.2.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p134394111758">flume</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.3.2.2.2.4.1.3 "><p id="mrs_01_0396__en-us_topic_0066459131_p148504811758">Specifies the Kafka consumer group ID.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r0f6e374ca98947e69ece2e7fe7db7e71"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.5.2.3.2.2.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p214736031758">parseAsFlumeEvent</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.2.3.2.2.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p616402731758">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.3.2.2.2.4.1.3 "><p id="mrs_01_0396__en-us_topic_0066459131_p268062201758">Specifies whether data is parsed into Flume events.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r536ea53053c2460096ef10b81b75a5c8"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.5.2.3.2.2.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p130550941758">migrateZookeeperOffsets</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.2.3.2.2.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p508296631758">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.3.2.2.2.4.1.3 "><p id="mrs_01_0396__en-us_topic_0066459131_p235620001758">Specifies whether to search for offsets in ZooKeeper and submit them to Kafka when there is no offset in Kafka.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r92a9c1a1288d4ef6a2c194f130ece84b"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.5.2.3.2.2.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p639379881758">kafka.consumer.auto.offset.reset</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.2.3.2.2.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p115945781758">latest</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.3.2.2.2.4.1.3 "><p id="mrs_01_0396__en-us_topic_0066459131_p667456361758">Consumes data from the specified location when there is no offset.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r6a4c9130ed67427e9ed6db5f479a821f"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.5.2.3.2.2.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p36428141758">kafka.producer.security.protocol</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.2.3.2.2.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p266325551758">SASL_PLAINTEXT</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.3.2.2.2.4.1.3 "><p id="mrs_01_0396__en-us_topic_0066459131_p97533361758">Specifies the Kafka producer security protocol.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r7a34758ad20540b9964d6b1bb2fe4e86"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.5.2.3.2.2.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p637514191758">kafka.consumer.security.protocol</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.2.3.2.2.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p635912801758">SASL_PLAINTEXT</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.3.2.2.2.4.1.3 "><p id="mrs_01_0396__a74697ecb1be742968c394b9bac8c950f">Specifies the Kafka consumer security protocol.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_0396__s7d014458bd014b1891c713d57d369f2f"><h4 class="sectiontitle">Common Sink Configurations</h4><ul id="mrs_01_0396__ue5e55088269f40ddb1d080809c4591f3"><li id="mrs_01_0396__lf88331d23ef24af8aab6842019d7437e"><strong id="mrs_01_0396__aac60ce2e77c542d1be36dc574aa52cb7">HDFS Sink</strong><p id="mrs_01_0396__a29f2bc7a07614cff8e2d76562df3b1c7">An HDFS sink writes data into HDFS. <a href="#mrs_01_0396__t3f4509459f734167afdd0cb20857d2ef">Table 9</a> lists common configurations.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0396__t3f4509459f734167afdd0cb20857d2ef"></a><a name="t3f4509459f734167afdd0cb20857d2ef"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0396__t3f4509459f734167afdd0cb20857d2ef" frame="border" border="1" rules="all"><caption><b>Table 9 </b>Common configurations of an HDFS sink</caption><thead align="left"><tr id="mrs_01_0396__r428a381b672745aab7c2ea64ea8babd5"><th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.6.2.1.3.2.4.1.1"><p id="mrs_01_0396__a8d2bca0510a541b3a5ccb21798bff2b6"><strong id="mrs_01_0396__a150cb57dda5f4e1d8009e004848c318a">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.6.2.1.3.2.4.1.2"><p id="mrs_01_0396__acc7f6e47f19c44d3a7b7419ff82c8ea9"><strong id="mrs_01_0396__a9648039eec824b63bb3c04fba6030c3f">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.6.2.1.3.2.4.1.3"><p id="mrs_01_0396__en-us_topic_0066459131_p328508017533"><strong id="mrs_01_0396__a88dae19dc91a4b2c9793e3500716d779">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0396__r6f4b81287cdf4a60978dd11293789afd"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_0396__a11db38e8f11e44aeb05a01182c40c055">channel</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_0396__a582103f12263427da0905257bd2697dc"><strong id="mrs_01_0396__ac01029686b15427aa8b605de731bfacf">-</strong></p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_0396__en-us_topic_0066459131_p619013817533">Specifies the channel connected to the sink. This parameter can be set only in the properties.properties file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r0b8083b767f14f068faf94198eecc389"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_0396__af3e90a3bf11d4335a8cb9f2033984bd6">type</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_0396__a4a73455e81734c9190ebbbce1decd067">hdfs</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_0396__a265167e9f50f4a399f5dc9926354bb77">Specifies the type, which is set to <span class="parmvalue" id="mrs_01_0396__p9018bb8360ee4dc9b82baa044d34ec28"><b>hdfs</b></span>. This parameter can be set only in the properties.properties file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__rb6cfe4a1765e498cac531919cc241103"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_0396__a6a38b53182834d65a3ab52cc50acbaa0">monTime</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p843901117533">0 (Disabled)</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_0396__aa4a8646530a24ba69c552822844aebd0">Specifies the thread monitoring threshold. When the update time exceeds the threshold, the sink is restarted. Unit: second</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r1c72034e03d740838cfa8ecf35ae1185"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_0396__ae65ca687db7643e38536252f8a349a61">hdfs.path</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_0396__a13d14639b59747c98b003acabf1e32c1">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_0396__a00deeca3d3244cf68e9fe7ae968414ce">Specifies the HDFS path.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r07fc2301dfd5446086b9cf6071fd9014"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_0396__a1eca519a1fe8438fb2e3409a8d181d6c">hdfs.inUseSuffix</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_0396__ae09cfb564fed4af1800e0a6bf5094316">.tmp</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_0396__a7ed839e807c0423996251f3c8e06fac0">Specifies the suffix of the HDFS file to which data is being written.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__rab8fc474da824422812d2f37c7d5f408"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_0396__af809d471a241484aa6f1595025978cb6">hdfs.rollInterval</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p880104717533">30</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_0396__a7f0f6f452a574b95a916b31628c220b6">Specifies the interval for file rolling, expressed in seconds.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__re2b855b21d1247db932da00aa16ff143"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p201758517533">hdfs.rollSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_0396__ab0daa8c0cdb84cf29a0e5aa6ed504d0f">1024</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_0396__a0d21426e67d84437b35f2f1f02d1de14">Specifies the size for file rolling, expressed in bytes.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r3daec9017b184ece8994115463f9e739"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_0396__a7df4d1dd875b4afdb965e00b3296a2bb">hdfs.rollCount</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_0396__ab5859a61079449b493d5039f5b6a4737">10</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_0396__a40b74d2a8eb04d9ea41ae99b097fb55a">Specifies the number of events for file rolling.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r115413f2353c4106a84eeb3811f9be60"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_0396__acd88f8cbcc8f48a88ffaf0b39c3fe25e">hdfs.idleTimeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p981461617533">0</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_0396__a6394e611a30143499f441fa5502d4936">Specifies the timeout interval for closing idle files automatically, expressed in seconds.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r68b30643028b4c9293ca8e33fe69295b"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_0396__a77d305269b3948c598889cfe46213f47">hdfs.batchSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_0396__a2ee9988a5566422ba6a20544038c8f1e">1000</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_0396__a7d6ebd7da6bb4bcc8ada3b290fb1d121">Specifies the number of events written into HDFS at a time.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r1466b090ba4c46fdb8ca140c7c63cac3"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_0396__a382a357d4a034556a78b9262b85d9868">hdfs.kerberosPrincipal</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_0396__ab6938a937d0d42509dd97c46c7ec3f0e">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_0396__a3156f686d01a45a890ae6fd7b1cf3f3a">Specifies the Kerberos username for HDFS authentication. This parameter is not required for a cluster in which Kerberos authentication is disabled.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r2bf541a598f54a6abaacb9257ec67321"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_0396__a36c43bfaf9b44106a668ef172ca5c140">hdfs.kerberosKeytab</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_0396__ad4030b99937c4946becab0a05ad41fb9">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_0396__adae96cd9d118455584e07be0d513e3c0">Specifies the Kerberos keytab of HDFS authentication. This parameter is not required for a cluster in which Kerberos authentication is disabled.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__rc715718c37434f8a973ea6dec2274397"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_0396__a8f4edbee92dc45d1aa67023b2a25ba60">hdfs.fileCloseByEndEvent</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_0396__a001a4facae8740f299d5e7ca1993f8e9">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_0396__ad1be897c0b434c158fbe44a1ff78a590">Specifies whether to close the file when the last event is received.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__rbfb26ebc81584714b8fa2f0ecbc15749"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_0396__a530f21bfe9f144538c3712205ae8c38d">hdfs.batchCallTimeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_0396__ad075b831ade249a39b6615e69aab68bb">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_0396__ac53f40e7d18349eba7240db41055d46a">Specifies the timeout control duration each time events are written into HDFS, expressed in milliseconds.</p>
+<p id="mrs_01_0396__aeae7224c87ec46969831bc8f0c18fed1">If this parameter is not specified, the timeout duration is controlled when each event is written into HDFS. When the value of <span class="parmname" id="mrs_01_0396__p28e8f45199794ea09d1fc4cae28d2474"><b>hdfs.batchSize</b></span> is greater than 0, configure this parameter to improve the performance of writing data into HDFS.</p>
+<div class="note" id="mrs_01_0396__nd9c23ee414754ff580abc33dd73a4bf0"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0396__ac5be970c6595411393f32ecad2a3b6b6">The value of <span class="parmname" id="mrs_01_0396__parmname23250825610294"><b>hdfs.batchCallTimeout</b></span> depends on <span class="parmname" id="mrs_01_0396__parmname1286027129102915"><b>hdfs.batchSize</b></span>. A greater <span class="parmname" id="mrs_01_0396__parmname673810159102940"><b>hdfs.batchSize</b></span> requires a larger <span class="parmname" id="mrs_01_0396__parmname756367162102956"><b>hdfs.batchCallTimeout</b></span>. If the value of <span class="parmname" id="mrs_01_0396__parmname57894028310323"><b>hdfs.batchCallTimeout</b></span> is too small, writing events to HDFS may fail.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_0396__r1b60be2a793c4b6aa8cd56cf37038bab"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_0396__a68d545c4ef3c4f71bf3e9995a2080a9f">serializer.appendNewline</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_0396__a9c53ede997cb4f8983d341b28673e235">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_0396__a824e416390154521b07055764a28279e">Specifies whether to add a line feed character (<strong id="mrs_01_0396__b93472962225041">\n</strong>) after an event is written to HDFS. If a line feed character is added, the data volume counters used by the line feed character will not be calculated by HDFS sinks.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_0396__lf84c68de22de4be6b82e42f22bc05477"><strong id="mrs_01_0396__en-us_topic_0066459131_b661552117533">Avro Sink</strong><p id="mrs_01_0396__a3e337b94515a418eb5f11215da0a0f13">An Avro sink converts events into Avro events and sends them to the monitoring ports of the hosts. <a href="#mrs_01_0396__tcf9863ee677d41a6882b71987541fa33">Table 10</a> lists common configurations.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0396__tcf9863ee677d41a6882b71987541fa33"></a><a name="tcf9863ee677d41a6882b71987541fa33"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0396__tcf9863ee677d41a6882b71987541fa33" frame="border" border="1" rules="all"><caption><b>Table 10 </b>Common configurations of an Avro sink</caption><thead align="left"><tr id="mrs_01_0396__re19fc9b53efa43969c188df75afc7df6"><th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.6.2.2.3.2.4.1.1"><p id="mrs_01_0396__en-us_topic_0066459131_p660555417533"><strong id="mrs_01_0396__a4b3ef20be65c4f7ebf1fd6714a5f6dea">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.6.2.2.3.2.4.1.2"><p id="mrs_01_0396__acfed75dc45a742b08b9ce5abbc177936"><strong id="mrs_01_0396__a13c9e1819de04f8abda5c649c4c55f67">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.6.2.2.3.2.4.1.3"><p id="mrs_01_0396__a60dbbde284224956a74d97d57add9430"><strong id="mrs_01_0396__a830ef800b3a04beead4b9935f305b027">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0396__r6e296b1504eb45fe827576692235a400"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_0396__a59bd61b8c29c414280fe5a6e1546d55d">channel</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_0396__aeb897062962f4311905bb80da552798d"><strong id="mrs_01_0396__a888ca45b6ab2472bacc8d77ad224f7a0">-</strong></p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_0396__ab0acbcd6fd62453a95e23b8d68c3e67c">Specifies the channel connected to the sink. This parameter can be set only in the properties.properties file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r789d9fd3aa0f46d4ba39710ffc024aea"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_0396__a05cb3e099e57474faf4ebe8fed4255ef">type</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_0396__aa8e7c3480f394f92a6d5a7072bca25c6">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_0396__af8a448089f394d3b9215cd3fcf8a9b2c">Specifies the type, which is set to <span class="parmvalue" id="mrs_01_0396__p260ea6b33ad54455840d7ded67b33782"><b>avro</b></span>. This parameter can be set only in the properties.properties file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r1fb98adb58c14054830c2a3764b53548"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_0396__ae2fe815312de4ae6bcb2a528093a4729">hostname</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p35597717533">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_0396__a06c85d581bff44fbaca045f059d8edf2">Specifies the name or IP address of the bound host.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r0c1a3a0f05004faa8ecee29c84a5a77e"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_0396__aeed48f0613464ed09459021a7c072dc1">port</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p924698617533">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_0396__aba450cb5a8ba470eab62752c9459f69d">Specifies the monitoring port.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r62e564bdeea247f58174047cb98b0ffd"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_0396__a4db78151f4f04c2489c7f47d5c895df3">batch-size</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_0396__a7bc09ed79a584ecca7df52513cea12a5">1000</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_0396__af45550ce5d9e4f1fbba4964df3d5a69b">Specifies the number of events sent in a batch.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__rede163131eec4250ae961c5d0b0aebce"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_0396__ab0edd0f1bbdd412ea38b096ea3e77cb2">ssl</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p334117217533">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_0396__en-us_topic_0066459131_p219951417533">Specifies whether to use SSL encryption.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r6439ad5ed5f944aa95641e90a05fe1f0"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_0396__a641dabd3c6b44853992c63b1cc33d918">truststore-type</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_0396__ad409d4fde0414f5391e1f4716c559649">JKS</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_0396__acede364f20694d38ac0810a4f422f219">Specifies the Java trust store type.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r1ba554f453694aa9973e9053c824cdd7"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_0396__a3c4857121cf6423da51ead2a3c093c88">truststore</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_0396__a0a3be538d86b4833baee1ce331812c85">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_0396__en-us_topic_0066459131_p196860717533">Specifies the Java trust store file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r5bf8d80ddc454c5d80a4dd0c70c30a81"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_0396__af1895eab45904dcc9787cb52a5eaceaf">truststore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_0396__a38db08ecc8654854b9a040aa2ca0359f">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_0396__adf82dda138354588b5ce521a0b244601">Specifies the Java trust store password.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r1b03bc431e7f4c7e867ffa8c4a1ada50"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_0396__accc23caf3bc543728bec1e35ee865314">keystore-type</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p476166117533">JKS</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_0396__a9caa5e4f54d04b8cbb700486a839131f">Specifies the key storage type.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r3487c784e9784e81a44a951f169c6320"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_0396__aba9d1f2a3fbc4b2298a4fe754deffa03">keystore</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p831478117533">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_0396__en-us_topic_0066459131_p240867317533">Specifies the key storage file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r57c2243216a548d89e171586a613e83c"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_0396__aee3b5126dddc4869a68d65a8f21e5b40">keystore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_0396__a4c21117bae7e46bba3e23c3848f779f7">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_0396__aca9b7d4fabc346a58257274b94875590">Specifies the key storage password.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_0396__l15ac95de9d434e76bd01227b2f59f6e3"><strong id="mrs_01_0396__a72fe1e54882547a19a2b081b8cfa08a5">HBase Sink</strong><p id="mrs_01_0396__ae19cf7551ad04a5dae08d41e80228664">An HBase sink writes data into HBase. <a href="#mrs_01_0396__tf429beac69444e93a744abfe1d0fb744">Table 11</a> lists common configurations.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0396__tf429beac69444e93a744abfe1d0fb744"></a><a name="tf429beac69444e93a744abfe1d0fb744"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0396__tf429beac69444e93a744abfe1d0fb744" frame="border" border="1" rules="all"><caption><b>Table 11 </b>Common configurations of an HBase sink</caption><thead align="left"><tr id="mrs_01_0396__ra970fcbddbeb4ec5bc23c81b686b33da"><th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.6.2.3.3.2.4.1.1"><p id="mrs_01_0396__a769b4777d8634bb0869894c50860b3d4"><strong id="mrs_01_0396__a6d37fa300354467b83dbea427bfd65eb">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.6.2.3.3.2.4.1.2"><p id="mrs_01_0396__a84061bc2d39a4d5ab068eb59bd84f457"><strong id="mrs_01_0396__a1bff2d21e37b485a9c5716f48441601f">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.6.2.3.3.2.4.1.3"><p id="mrs_01_0396__en-us_topic_0066459131_p763900917533"><strong id="mrs_01_0396__en-us_topic_0066459131_b84877817533">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0396__ra2df0f21842740cf80551de7e30423f0"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.3.3.2.4.1.1 "><p id="mrs_01_0396__a1c1fda0a54de4529ba72ad4883ed02f1">channel</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.3.3.2.4.1.2 "><p id="mrs_01_0396__a970e1ea742344ab09ec7bcd370f6715a"><strong id="mrs_01_0396__a4858c02556d6474c86bcad898d6d2778">-</strong></p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.3.3.2.4.1.3 "><p id="mrs_01_0396__abb556afd58584cf6b04a9186890ade9e">Specifies the channel connected to the sink. This parameter can be set only in the properties.properties file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__rdcf7ac3bb8484b9fa7c2e51c12a66737"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.3.3.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p568160617533">type</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.3.3.2.4.1.2 "><p id="mrs_01_0396__a61fcc3ab01ea477c9cd0fd2e00ce4602">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.3.3.2.4.1.3 "><p id="mrs_01_0396__a51dfd4d22d464108b62552aed4341f39">Specifies the type, which is set to <span class="parmvalue" id="mrs_01_0396__p233eebfa8ca548b8be56b4345498a1b8"><b>hbase</b></span>. This parameter can be set only in the properties.properties file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r86767b1614fa4a8187eb36e6e7bdb4c6"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.3.3.2.4.1.1 "><p id="mrs_01_0396__a86f24d691409443f9593c7b6d16ac3d3">table</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.3.3.2.4.1.2 "><p id="mrs_01_0396__a18dbe4ead6e6432089a4d42e8da37fb6">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.3.3.2.4.1.3 "><p id="mrs_01_0396__aa1476d1591734f379748110926c61e82">Specifies the HBase table name.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__rf50e908f3e0f4fa5aba6530a14d09b6b"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.3.3.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p99517817533">monTime</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.3.3.2.4.1.2 "><p id="mrs_01_0396__aa416818b6376422487336b4a22fdbdda">0 (Disabled)</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.3.3.2.4.1.3 "><p id="mrs_01_0396__a5e0c05f647bb454f92d4890169cdd727">Specifies the thread monitoring threshold. When the update time exceeds the threshold, the sink is restarted. Unit: second</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r138bdb7aab1b4f67ab5da7a33cb9d0c1"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.3.3.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p802703117533">columnFamily</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.3.3.2.4.1.2 "><p id="mrs_01_0396__a369296d6439c417fb6e6e26773e2285f">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.3.3.2.4.1.3 "><p id="mrs_01_0396__a734fb6dd6a5b4f40abf70ad9b58bf5d2">Specifies the HBase column family.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r07ba877866b345249138be459c2308e3"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.3.3.2.4.1.1 "><p id="mrs_01_0396__add882f1e15864683a4ef46fee43299d1">batchSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.3.3.2.4.1.2 "><p id="mrs_01_0396__abcf4f8ae555c48659f0127b1328acf06">1000</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.3.3.2.4.1.3 "><p id="mrs_01_0396__a4ad9de126988457c9080ca51350efdfc">Specifies the number of events written into HBase at a time.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r3305a24ac40f496bbc0bfa12743fe915"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.3.3.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p980622217533">kerberosPrincipal</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.3.3.2.4.1.2 "><p id="mrs_01_0396__a6fd92d2fc9ef4ee9a3bce453273a7cd2">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.3.3.2.4.1.3 "><p id="mrs_01_0396__ac1945205e4384c40b327e0f33d17876b">Specifies the Kerberos username for HBase authentication. This parameter is not required for a cluster in which Kerberos authentication is disabled.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r32bcca9c56484448ba64170bdeddb062"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.3.3.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p379596517533">kerberosKeytab</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.3.3.2.4.1.2 "><p id="mrs_01_0396__ab0f6be33ecc744ed90dd6eb4925381e4">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.3.3.2.4.1.3 "><p id="mrs_01_0396__en-us_topic_0066459131_p794234417533">Specifies the Kerberos keytab of HBase authentication. This parameter is not required for a cluster in which Kerberos authentication is disabled.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_0396__lc086ce274dea42d4af978cad9f242d82"><strong id="mrs_01_0396__en-us_topic_0066459131_b844000217533">Kafka Sink</strong><p id="mrs_01_0396__en-us_topic_0066459131_p885115617533">A Kafka sink writes data into Kafka. <a href="#mrs_01_0396__tf898876f2a2f45629655554005c3f0a8">Table 12</a> lists common configurations.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0396__tf898876f2a2f45629655554005c3f0a8"></a><a name="tf898876f2a2f45629655554005c3f0a8"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0396__tf898876f2a2f45629655554005c3f0a8" frame="border" border="1" rules="all"><caption><b>Table 12 </b>Common configurations of a Kafka sink</caption><thead align="left"><tr id="mrs_01_0396__r83705dd984674f549a81a591a3ab58f3"><th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.6.2.4.3.2.4.1.1"><p id="mrs_01_0396__en-us_topic_0066459131_p565891217533"><strong id="mrs_01_0396__en-us_topic_0066459131_b808530817533">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.6.2.4.3.2.4.1.2"><p id="mrs_01_0396__ad21340b406434c1889a8fc44e2f65e68"><strong id="mrs_01_0396__a79d80603c4394a3b893f8b989164481f">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.6.2.4.3.2.4.1.3"><p id="mrs_01_0396__a3e797ff13cfd4e29bcef95a39df33046"><strong id="mrs_01_0396__ae59bfb1ae60e4e048c7ee7337076f6eb">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0396__ra277720243374d178ac6c8a574cd5a2b"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.4.3.2.4.1.1 "><p id="mrs_01_0396__ae22f17dd53e44391b123e10a2da0658d">channel</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.4.3.2.4.1.2 "><p id="mrs_01_0396__a1624b267ba71494db8be70b05219f307"><strong id="mrs_01_0396__a11ceb1dbc6c94b14b56b4a85f0c1a2f5">-</strong></p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.4.3.2.4.1.3 "><p id="mrs_01_0396__afd83d2ee21994e0880545cccec045f38">Specifies the channel connected to the sink. This parameter can be set only in the properties.properties file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r1543a8f29d484108a61adb4411777f0e"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.4.3.2.4.1.1 "><p id="mrs_01_0396__aa744821c495f45c1b8a9bcb810aee740">type</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.4.3.2.4.1.2 "><p id="mrs_01_0396__a1099972b687544b887c1ab69c3a9d0bc">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.4.3.2.4.1.3 "><p id="mrs_01_0396__a59530aa82dda48e5b990c5e7c660d87e">Specifies the type, which is set to <span class="parmvalue" id="mrs_01_0396__pff8b3b82581945c297957c7d4b60f7fc"><b>org.apache.flume.sink.kafka.KafkaSink</b></span>.</p>
+<p id="mrs_01_0396__p9658234282">This parameter can be set only in the properties.properties file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__rb14230c362534e7482c8fabe4ae18e94"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.4.3.2.4.1.1 "><p id="mrs_01_0396__a23a9c697afcd4f3093c9ec9c56afba86">kafka.bootstrap.servers</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.4.3.2.4.1.2 "><p id="mrs_01_0396__aea3856345b5d4248bddb18c5dfa78395">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.4.3.2.4.1.3 "><p id="mrs_01_0396__a12061b8ddfa34d8a92ee14bccf860a16">Specifies the list of Kafka Brokers, which are separated by commas.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r3b9be3b7d10546f6856c1de26b5d1e49"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.4.3.2.4.1.1 "><p id="mrs_01_0396__a0dcb476a77b648a2a8e5bb8f2a9ac98a">monTime</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.4.3.2.4.1.2 "><p id="mrs_01_0396__a8d0ba495bab74d3a84eeb43e0b1b8f9a">0 (Disabled)</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.4.3.2.4.1.3 "><p id="mrs_01_0396__ad3314d2a3182424fbef136a62ba5cd54">Specifies the thread monitoring threshold. When the update time exceeds the threshold, the sink is restarted. Unit: second</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r667870d07e6a4c33adf350bb627a0447"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.4.3.2.4.1.1 "><p id="mrs_01_0396__a9ed9d60b2fc148e7886f97cd531b3540">kafka.topic</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.4.3.2.4.1.2 "><p id="mrs_01_0396__ac6eeebae5265487f92da32511f6cd4be">default-flume-topic</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.4.3.2.4.1.3 "><p id="mrs_01_0396__a8a420ec747cc4b778230cbb76980c371">Specifies the topic where data is written.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r7f33a19dea5c4d239ffddd452edc98cd"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.4.3.2.4.1.1 "><p id="mrs_01_0396__a5767e97d5e564a8a96cce83791eea409">flumeBatchSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.4.3.2.4.1.2 "><p id="mrs_01_0396__a7381dd3e46b14861a7c2fa20874a33b6">1000</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.4.3.2.4.1.3 "><p id="mrs_01_0396__en-us_topic_0066459131_p740582917533">Specifies the number of events written into Kafka at a time.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__ra7f11dfe7e3c4d00ac8f7008da20f790"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.4.3.2.4.1.1 "><p id="mrs_01_0396__ab3ebf881143d4ed391b85e82c6e019d1">kafka.security.protocol</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.4.3.2.4.1.2 "><p id="mrs_01_0396__a0908b24fc0334751b1988352f6e04b85">SASL_PLAINTEXT</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.4.3.2.4.1.3 "><p id="mrs_01_0396__aa25e39815a0943e69fe4ae734da16fae">Specifies the security protocol of Kafka. The value must be set to <span class="parmvalue" id="mrs_01_0396__p62252d84cac248309ac8bd2a4fe00ad3"><b>PLAINTEXT</b></span> for clusters in which Kerberos authentication is disabled.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r68d48aea470f4ac2991c30f53a5436ad"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.4.3.2.4.1.1 "><p id="mrs_01_0396__en-us_topic_0066459131_p309358951508">kafka.kerberos.domain.name</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.4.3.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p227795341508">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.4.3.2.4.1.3 "><p id="mrs_01_0396__en-us_topic_0066459131_p332029861508">Specifies the Kafka domain name. This parameter is mandatory for a security cluster. This parameter can be set only in the properties.properties file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0396__r4a507fb8c4d14ad9b8f4c5b1a6878215"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.6.2.4.3.2.4.1.1 "><p id="mrs_01_0396__a1e0caf77f9b94372b0038a03fa6f1b89">Other Kafka Producer Properties</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.6.2.4.3.2.4.1.2 "><p id="mrs_01_0396__en-us_topic_0066459131_p897233717533">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.2.4.3.2.4.1.3 "><p id="mrs_01_0396__a8bfe25d2b4024f6ab9a97861fd8fdf7a">Specifies other Kafka configurations. This parameter can be set to any production configuration supported by Kafka, and the <span class="parmvalue" id="mrs_01_0396__p02b388c0a37c472da309e8cb3970a748"><b>.kafka</b></span> prefix must be added to the configuration.</p>
+<p id="mrs_01_0396__p2674194282916">This parameter can be set only in the properties.properties file.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0390.html">Using Flume</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_0397"></a><a name="mrs_01_0397"></a>
+
+<h1 class="topictitle1">Using Flume from Scratch</h1>
+<div id="body1589421630526"><div class="section" id="mrs_01_0397__s6020f8e1de5644d2becca6a1c9dd7b98"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0397__a78492c95b3d84580991937af4802369a">You can use Flume to import collected log information to Kafka.</p>
+</div>
+<div class="section" id="mrs_01_0397__sdd14a34b7dc44c2ab9cabb19599a033a"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_0397__u0c52e5bb70f64537997c99cf4de32541"><li id="mrs_01_0397__l11118dd36a974dfc8762539ad916ddf6">A streaming cluster that contains components such as Flume and Kafka and has Kerberos authentication enabled has been created. </li><li id="mrs_01_0397__l9d613f4f7c21477aa8e688973b1ad35c">The streaming cluster can properly communicate with the node where logs are generated.</li></ul>
+</div>
+<div class="section" id="mrs_01_0397__s1f8b9b2a99104941860eb2956cc0057c"><h4 class="sectiontitle">Using the Flume Client (Versions Earlier Than MRS 3.x)</h4><div class="note" id="mrs_01_0397__n51bce0a8f0e64a5a8a5ffbf77630e44f"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0397__a42e0004dfc9441148c19537b580a2de8">You do not need to perform <a href="#mrs_01_0397__l78730912572649fd8edfda3920dc20cf">2</a> to <a href="#mrs_01_0397__lfde322e0f3de4ccb88b4e195e65f9993">6</a> for a normal cluster.</p>
+</div></div>
+<ol id="mrs_01_0397__o403b9d3871a94c49802642eea27749af"><li id="mrs_01_0397__li26835010457"><span>Install the Flume client.</span><p><p id="mrs_01_0397__p158895102454">Install the Flume client in a directory, for example, <strong id="mrs_01_0397__b49001343596">/opt/Flumeclient</strong>, on the node where logs are generated by referring to <a href="mrs_01_1594.html">Installing the Flume Client on Clusters of Versions Earlier Than MRS 3.x</a>. The Flume client installation directories in the following steps are only examples. Change them to the actual installation directories.</p>
+</p></li><li id="mrs_01_0397__l78730912572649fd8edfda3920dc20cf"><a name="mrs_01_0397__l78730912572649fd8edfda3920dc20cf"></a><a name="l78730912572649fd8edfda3920dc20cf"></a><span>Copy the configuration file of the authentication server from the Master1 node to the <em id="mrs_01_0397__i97131237193316">Flume client installation directory</em><strong id="mrs_01_0397__b175084422334">/fusioninsight-flume-</strong><em id="mrs_01_0397__i176931013163418">Flume component version number</em><strong id="mrs_01_0397__b2541256103314">/conf</strong> directory on the node where the Flume client is installed.</span><p><p id="mrs_01_0397__p798051210138">For versions earlier than MRS 1.9.2, <strong id="mrs_01_0397__b588414271117"><span id="mrs_01_0397__text545174019335">${BIGDATA_HOME}</span></strong><strong id="mrs_01_0397__b7884152121113">/FusionInsight/etc/1_</strong><em id="mrs_01_0397__i13151154893315">X</em><strong id="mrs_01_0397__b1584016781114">_KerberosClient/kdc.conf</strong> is used as the full file path.</p>
+<p id="mrs_01_0397__p13504151551317">For versions earlier than MRS 3.<em id="mrs_01_0397__i153056356139">x</em>, <strong id="mrs_01_0397__b219491819130"><span id="mrs_01_0397__text1422165393315">${BIGDATA_HOME}</span></strong><strong id="mrs_01_0397__b11941618171310">/MRS_Current/1_</strong><em id="mrs_01_0397__i1125517567332">X</em><strong id="mrs_01_0397__b1989519211130">_KerberosClient/etc/kdc.conf</strong> is used as the full file path.</p>
+<p id="mrs_01_0397__p1812741181214">In the preceding paths, <span class="parmname" id="mrs_01_0397__parmname4993101192116"><b>X</b></span> indicates a random number. Change it based on the site requirements. The file must be saved by the user who installs the Flume client, for example, user <strong id="mrs_01_0397__b107925408536">root</strong>.</p>
+</p></li><li id="mrs_01_0397__li13806122116487"><span>Check the service IP address of any node where the Flume role is deployed.</span><p><ul id="mrs_01_0397__ul1692910323486"><li id="mrs_01_0397__li792916322486">For versions earlier than MRS 1.9.2, log in to MRS Manager. Choose <strong id="mrs_01_0397__b1462164445414">Cluster</strong> &gt; <strong id="mrs_01_0397__b234136163719">Services</strong> &gt; <strong id="mrs_01_0397__b175516385377">Flume</strong> &gt; <strong id="mrs_01_0397__b688214015372">Instance</strong>. Query <span class="parmname" id="mrs_01_0397__parmname172398430334"><b>Service IP Address</b></span> of any node on which the Flume role is deployed.</li><li id="mrs_01_0397__li979413816488">For MRS 1.9.2 to versions earlier than 3.x, click the cluster name on the MRS console and choose <em id="mrs_01_0397__i1311325145810">Name of the desired cluster</em> &gt; <strong id="mrs_01_0397__b1481185933910">Components</strong> &gt; <strong id="mrs_01_0397__b101901577404">Flume</strong> &gt; <strong id="mrs_01_0397__b122475984012">Instances</strong> to view <span class="parmname" id="mrs_01_0397__parmname86251247123318"><b>Business IP Address</b></span> of any node where the Flume role is deployed.</li></ul>
+</p></li><li id="mrs_01_0397__l762ab29694a642ac8ae1a0609cb97c9b"><a name="mrs_01_0397__l762ab29694a642ac8ae1a0609cb97c9b"></a><a name="l762ab29694a642ac8ae1a0609cb97c9b"></a><span>Copy the user authentication file from this node to the <em id="mrs_01_0397__i893801515338">Flume client installation directory</em><span class="filepath" id="mrs_01_0397__fd57a94849eb24f3790e5f19a860fd212"><b>/fusioninsight-flume-Flume component version number/conf</b></span> directory on the Flume client node.</span><p><p id="mrs_01_0397__p18616514193">For versions earlier than MRS 1.9.2, <strong id="mrs_01_0397__b7986557112411"><span id="mrs_01_0397__text836216620348">${BIGDATA_HOME}</span></strong><strong id="mrs_01_0397__b6986175712413">/FusionInsight/FusionInsight-Flume-</strong><span id="mrs_01_0397__text93623614346"><em id="mrs_01_0397__i17981114203410">Flume component version number</em></span><strong id="mrs_01_0397__b66738210254">/flume/conf/flume.keytab</strong> is used as the full file path.</p>
+<p id="mrs_01_0397__p843725211914">For versions earlier than 3.<em id="mrs_01_0397__i153481102329">x</em>, <strong id="mrs_01_0397__b1051091853213"><span id="mrs_01_0397__text1960713188348">${BIGDATA_HOME}</span></strong><strong id="mrs_01_0397__b651010185322">/MRS_</strong><em id="mrs_01_0397__i2078312693411">XXX</em><strong id="mrs_01_0397__b1247202611324">/install/FusionInsight-Flume-</strong><span id="mrs_01_0397__text76073181349"><em id="mrs_01_0397__i727802313345">Flume component version number</em></span><strong id="mrs_01_0397__b1860144773215">/flume/conf/flume.keytab</strong> is used as the full file path.</p>
+<p id="mrs_01_0397__p77268218240">In the preceding paths, <span class="parmname" id="mrs_01_0397__parmname141931219135214"><b>XXX</b></span> indicates the product version number. Change it based on the site requirements. The file must be saved by the user who installs the Flume client, for example, user <strong id="mrs_01_0397__b207261321122411">root</strong>.</p>
+</p></li><li id="mrs_01_0397__l904b0591afae407d8ead20c06ca6bda6"><span>Copy the <span class="filepath" id="mrs_01_0397__f1372ed26dd3e444e93bf81f269454e4e"><b>jaas.conf</b></span> file from this node to the <span class="filepath" id="mrs_01_0397__f990b8fe4e45d42a8bdeaab468ad1fd3f"><b>conf</b></span> directory on the Flume client node.</span><p><p id="mrs_01_0397__p444152518249">For versions earlier than MRS 1.9.2, <strong id="mrs_01_0397__b734314150389"><span id="mrs_01_0397__text2058885819348">${BIGDATA_HOME}</span></strong><strong id="mrs_01_0397__b3343115103811">/FusionInsight/etc/1_</strong><em id="mrs_01_0397__i2012516583517">X</em><strong id="mrs_01_0397__b996162119385">_Flume/jaas.conf</strong> is used as the full file path.</p>
+<p id="mrs_01_0397__p1925513263245">For versions earlier than MRS 3.<em id="mrs_01_0397__i12691353391">x</em>, <strong id="mrs_01_0397__b1070245153910"><span id="mrs_01_0397__text19700175133913">${BIGDATA_HOME}</span></strong><strong id="mrs_01_0397__b470511511390">/MRS_Current/1_</strong><em id="mrs_01_0397__i1970835133914">X</em><strong id="mrs_01_0397__b157109513910">_Flume/etc/jaas.conf</strong> is used as the full file path.</p>
+<p id="mrs_01_0397__p1096823443317">In the preceding path, <span class="parmname" id="mrs_01_0397__parmname164049192911"><b>X</b></span> indicates a random number. Change it based on the site requirements. The file must be saved by the user who installs the Flume client, for example, user <strong id="mrs_01_0397__b296819349335">root</strong>.</p>
+</p></li><li id="mrs_01_0397__lfde322e0f3de4ccb88b4e195e65f9993"><a name="mrs_01_0397__lfde322e0f3de4ccb88b4e195e65f9993"></a><a name="lfde322e0f3de4ccb88b4e195e65f9993"></a><span>Log in to the Flume client node and go to the client installation directory. Run the following command to modify the file:</span><p><p id="mrs_01_0397__a08785a99d6a642b0969f624dcdfdac7b"><strong id="mrs_01_0397__en-us_topic_0068225666_b93221911938">vi conf/jaas.conf</strong></p>
+<p id="mrs_01_0397__en-us_topic_0068225666_p740524175416">Change the full path of the user authentication file defined by <span class="parmname" id="mrs_01_0397__parmname5801144914535"><b>keyTab</b></span> to the <span class="filepath" id="mrs_01_0397__f05179cbd1d92436caebf1dd7cbbbb880"><b>Flume client installation directory/fusioninsight-flume-<span id="mrs_01_0397__text225163401610"><em id="mrs_01_0397__i5192162033611">Flume component version number</em></span>/conf</b></span> saved in <a href="#mrs_01_0397__l762ab29694a642ac8ae1a0609cb97c9b">4</a>, and save the modification and exit.</p>
+</p></li><li id="mrs_01_0397__l0ef61845752d459d8e290359685d2f46"><span>Run the following command to modify the <span class="filepath" id="mrs_01_0397__fa9d02736a2e44d1394f691094b812c9a"><b>flume-env.sh</b></span> configuration file of the Flume client:</span><p><p id="mrs_01_0397__a8266d015f05049919264b780fd27fde8"><strong id="mrs_01_0397__b10958923637">vi </strong><em id="mrs_01_0397__a37dfff98f13b4d979e493a2af00db384">Flume client installation directory</em><strong id="mrs_01_0397__b122612372314">/fusioninsight-flume-</strong><span id="mrs_01_0397__text17823182845418"><em id="mrs_01_0397__i1882382855411">Flume component version number</em></span><strong id="mrs_01_0397__b22621375318">/conf/flume-env.sh</strong></p>
+<p id="mrs_01_0397__ae09af85b2073488da26ab3ecffeffa48">Add the following information after <span class="parmvalue" id="mrs_01_0397__pc6f27cf3d9e34ebd951a43cda607a8c3"><b>-XX:+UseCMSCompactAtFullCollection</b></span>:</p>
+<pre class="screen" id="mrs_01_0397__s587f8c2bcaff474998bbcfe709e906ff">-Djava.security.krb5.conf=<em id="mrs_01_0397__aafbc984f516e4664a9e15d31af5f8ff3">Flume client installation directory</em>/fusioninsight-flume-1.9.0/conf/kdc.conf -Djava.security.auth.login.config=<em id="mrs_01_0397__a3c39b6e7e6a14210bbff946d68d2202a">Flume client installation directory</em>/fusioninsight-flume-1.9.0/conf/jaas.conf -Dzookeeper.request.timeout=120000</pre>
+<p id="mrs_01_0397__en-us_topic_0068225666_p14675223454">Example: <strong id="mrs_01_0397__b6326917612">"-XX:+UseCMSCompactAtFullCollection -Djava.security.krb5.conf=</strong><strong id="mrs_01_0397__b3565464297">/opt/FlumeClient</strong>/<strong id="mrs_01_0397__b18439814578">fusioninsight-flume</strong><strong id="mrs_01_0397__b181441710716">-</strong><span id="mrs_01_0397__text1235696618"><em id="mrs_01_0397__i435119669">Flume component version number</em></span><strong id="mrs_01_0397__b694212198619">/conf/kdc.conf -Djava.security.auth.login.config=</strong><strong id="mrs_01_0397__b11777162342911">/opt/FlumeClient</strong>/<strong id="mrs_01_0397__b1822017281177">fusioninsight-flume-</strong><span id="mrs_01_0397__text994511197614"><em id="mrs_01_0397__i894519192610">Flume component version number</em></span><strong id="mrs_01_0397__b109439198616">/conf/jaas.conf -Dzookeeper.request.timeout=120000"</strong></p>
+<p id="mrs_01_0397__a57a21d9b8dce48ea893ac82ff4fa88b7">Change <em id="mrs_01_0397__i292774315221">Flume client installation directory</em> to the actual installation directory. Then save and exit.</p>
+</p></li><li id="mrs_01_0397__l13c4cf9e0db44bbb9c55a8ba627f5ed9"><span>Run the following command to restart the Flume client:</span><p><p id="mrs_01_0397__p1836219562278"><strong id="mrs_01_0397__b2657112412812">cd </strong><em id="mrs_01_0397__i126601224182820">Flume client installation directory</em><strong id="mrs_01_0397__b165842416282">/fusioninsight-flume-</strong><span id="mrs_01_0397__text1936318563277"><em id="mrs_01_0397__i15363135662720">Flume component version number</em></span><strong id="mrs_01_0397__b536315618279">/bin</strong></p>
+<p id="mrs_01_0397__p143635560272"><strong id="mrs_01_0397__b8363656162711">./flume-manage.sh restart</strong></p>
+<p id="mrs_01_0397__p18263122932816">Example:</p>
+<p id="mrs_01_0397__a53e631b959614158b597a7afb6753690"><strong id="mrs_01_0397__b150968419">cd /opt/FlumeClient/fusioninsight-flume-</strong><span id="mrs_01_0397__text11432135563"><em id="mrs_01_0397__i0143113205619">Flume component version number</em></span><strong id="mrs_01_0397__b1150069411">/bin</strong></p>
+<p id="mrs_01_0397__a81d84cf9bb9848179d102ccd4e7529c1"><strong id="mrs_01_0397__en-us_topic_0068225666_b239063391760">./flume-manage.sh restart</strong></p>
+</p></li><li id="mrs_01_0397__lc7a2186ec18f4972831e99c62a482053"><span>Run the following command to configure and save jobs in the Flume client configuration file <strong id="mrs_01_0397__b16282491187">properties.properties</strong> based on service requirements.</span><p><p id="mrs_01_0397__a157d7a9642074d83ba69453d1cb26be5"><strong id="mrs_01_0397__b189281212541">vi </strong><em id="mrs_01_0397__i7438151216419">Flume client installation directory</em><strong id="mrs_01_0397__b593816164410">/fusioninsight-flume-</strong><span id="mrs_01_0397__text517113302560"><em id="mrs_01_0397__i1171173045610">Flume component version number</em></span><strong id="mrs_01_0397__b17938181610416">/conf/properties.properties</strong></p>
+<p id="mrs_01_0397__en-us_topic_0068225666_p515527111833">The following uses SpoolDir Source+File Channel+Kafka Sink as an example:</p>
+<pre class="screen" id="mrs_01_0397__sb4388416d3684139aceb897919c52981">#########################################################################################
+client.sources = static_log_source  
+client.channels = static_log_channel 
+client.sinks = kafka_sink
+#########################################################################################
+#LOG_TO_HDFS_ONLINE_1
+
+client.sources.static_log_source.type = spooldir
+client.sources.static_log_source.spoolDir = <em id="mrs_01_0397__i95132322546">Monitoring directory</em>
+client.sources.static_log_source.fileSuffix = .COMPLETED
+client.sources.static_log_source.ignorePattern = ^$
+client.sources.static_log_source.trackerDir = <em id="mrs_01_0397__i4205253185418">Metadata storage path during transmission</em>
+client.sources.static_log_source.maxBlobLength = 16384
+client.sources.static_log_source.batchSize = 51200
+client.sources.static_log_source.inputCharset = UTF-8
+client.sources.static_log_source.deserializer = LINE
+client.sources.static_log_source.selector.type = replicating
+client.sources.static_log_source.fileHeaderKey = file
+client.sources.static_log_source.fileHeader = false
+client.sources.static_log_source.basenameHeader = true
+client.sources.static_log_source.basenameHeaderKey = basename
+client.sources.static_log_source.deletePolicy = never
+
+client.channels.static_log_channel.type = file
+client.channels.static_log_channel.dataDirs = <em id="mrs_01_0397__i0229156115712">Data cache path. Multiple paths, separated by commas (,), can be configured to improve performance.</em>
+client.channels.static_log_channel.checkpointDir = <em id="mrs_01_0397__i5122193611574">Checkpoint storage path</em>
+client.channels.static_log_channel.maxFileSize = 2146435071
+client.channels.static_log_channel.capacity = 1000000
+client.channels.static_log_channel.transactionCapacity = 612000
+client.channels.static_log_channel.minimumRequiredSpace = 524288000
+
+client.sinks.kafka_sink.type = org.apache.flume.sink.kafka.KafkaSink
+client.sinks.kafka_sink.kafka.topic = <em id="mrs_01_0397__i19320715905">Topic to which data is written, for example, <strong id="mrs_01_0397__b45110318547">flume_test</strong></em>
+client.sinks.kafka_sink.kafka.bootstrap.servers = <em id="mrs_01_0397__aa6421766a92846b0910f8d4f7d558b61">XXX</em>.<em id="mrs_01_0397__a89f61f3d2b9a4da9b90d9e1db09f256f">XXX</em>.<em id="mrs_01_0397__a03a82f24d8924770a579bbfdb5577bf5">XXX</em>.<em id="mrs_01_0397__en-us_topic_0068225666_i450889851851">XXX</em>:<em id="mrs_01_0397__i173112511215">Kafka port number</em>,<em id="mrs_01_0397__en-us_topic_0068225666_i73457951853">XXX</em>.<em id="mrs_01_0397__en-us_topic_0068225666_i58491551854">XXX</em>.<em id="mrs_01_0397__en-us_topic_0068225666_i404351741856">XXX</em>.<em id="mrs_01_0397__en-us_topic_0068225666_i365603841857">XXX</em>:<em id="mrs_01_0397__i5338103912310">Kafka port number</em>,<em id="mrs_01_0397__en-us_topic_0068225666_i285304001859">XXX</em>.<em id="mrs_01_0397__a4566267c4494465c8bb36319c67a35cd">XXX</em>.<em id="mrs_01_0397__a73227fb5a90a4657a3dfb64f127ab301">XXX</em>.<em id="mrs_01_0397__a58fbb1bf1b5f43cf8a80978edcc33a98">XXX</em>:<em id="mrs_01_0397__i121898421839">Kafka port number</em>
+client.sinks.kafka_sink.flumeBatchSize = 1000
+client.sinks.kafka_sink.kafka.producer.type = sync
+client.sinks.kafka_sink.kafka.security.protocol = SASL_PLAINTEXT
+client.sinks.kafka_sink.kafka.kerberos.domain.name = <em id="mrs_01_0397__i11557195517119">Kafka domain name. This parameter is mandatory for a security cluster, for example, <strong id="mrs_01_0397__b048853675419">hadoop.xxx.com</strong>.</em>
+client.sinks.kafka_sink.requiredAcks = 0
+
+client.sources.static_log_source.channels = static_log_channel
+client.sinks.kafka_sink.channel = static_log_channel</pre>
+<div class="note" id="mrs_01_0397__note1677181812420"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0397__ul1636841220520"><li id="mrs_01_0397__li1422216201058"><strong id="mrs_01_0397__b204031210553">client.sinks.kafka_sink.kafka.topic</strong>: Topic to which data is written. If the topic does not exist in Kafka, it is automatically created by default.</li><li id="mrs_01_0397__li1622252012515"><strong id="mrs_01_0397__b0453714135618">client.sinks.kafka_sink.kafka.bootstrap.servers</strong>: List of Kafka Brokers, which are separated by commas (,). By default, the port is <strong id="mrs_01_0397__b25362277573">21007</strong> for a security cluster and <strong id="mrs_01_0397__b682615221207">9092</strong> for a normal cluster.</li><li id="mrs_01_0397__li11351941470"><strong id="mrs_01_0397__b105081204114">client.sinks.kafka_sink.kafka.security.protocol</strong>: The value is <strong id="mrs_01_0397__b1786715618119">SASL_PLAINTEXT</strong> for a security cluster and <strong id="mrs_01_0397__b10247638328">PLAINTEXT</strong> for a normal cluster.</li><li id="mrs_01_0397__li76061315459"><strong id="mrs_01_0397__b191071347230">client.sinks.kafka_sink.kafka.kerberos.domain.name</strong>:<p id="mrs_01_0397__p18606181511517">You do not need to set this parameter for a normal cluster. For a security cluster, the value of this parameter is the value of <strong id="mrs_01_0397__b17733903215100">kerberos.domain.name</strong> in the Kafka cluster.</p>
+<p id="mrs_01_0397__p17607181513519">For versions earlier than MRS 1.9.2, obtain the value by checking <strong id="mrs_01_0397__b164681535101010"><span id="mrs_01_0397__text171381316762">${BIGDATA_HOME}</span></strong><strong id="mrs_01_0397__b13468193515101">/FusionInsight/etc/1_</strong><em id="mrs_01_0397__i45218191761">X</em><strong id="mrs_01_0397__b155161441181017">_Broker/server.properties</strong> on the node where the broker instance resides.</p>
+<p id="mrs_01_0397__p106071815155">Obtain the value for versions earlier than MRS 3.<em id="mrs_01_0397__i15797558139">x</em> by checking <strong id="mrs_01_0397__b4602550161215"><span id="mrs_01_0397__text10571451969">${BIGDATA_HOME}</span></strong><strong id="mrs_01_0397__b17602050191211">/MRS_Current/1_</strong><em id="mrs_01_0397__i141400121964">X</em><strong id="mrs_01_0397__b131964558129">_Broker/etc/server.properties</strong> on the node where the broker instance resides.</p>
+<p id="mrs_01_0397__p5607815252">In the preceding paths, <span class="parmname" id="mrs_01_0397__parmname9533492955100"><b>X</b></span> indicates a random number. Change it based on site requirements. The file must be saved by the user who installs the Flume client, for example, user <strong id="mrs_01_0397__b1639875518">root</strong>.</p>
+</li></ul>
+</div></div>
+</p></li><li id="mrs_01_0397__l218366db914b4699896a7e73c483d1f1"><span>After the parameters are set and saved, the Flume client automatically loads the content configured in <strong id="mrs_01_0397__b18263314271">properties.properties</strong>. When new log files are generated by spoolDir, the files are sent to Kafka producers and can be consumed by Kafka consumers. </span></li></ol>
+</div>
+<div class="section" id="mrs_01_0397__section197021472420"><h4 class="sectiontitle">Using the Flume Client (MRS 3.x or Later)</h4><div class="note" id="mrs_01_0397__note6127174918413"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0397__p1012744917411">You do not need to perform <a href="#mrs_01_0397__li81278495417">2</a> to <a href="#mrs_01_0397__li31329494415">6</a> for a normal cluster.</p>
+</div></div>
+<ol id="mrs_01_0397__ol1712704919420"><li id="mrs_01_0397__li297651112467"><span>Install the Flume client.</span><p><p id="mrs_01_0397__p1897616111466">Install the Flume client in a directory, for example, <strong id="mrs_01_0397__b1056192312261">/opt/Flumeclient</strong>, on the node where logs are generated by referring to <a href="mrs_01_1595.html">Installing the Flume Client on MRS 3.x or Later Clusters</a>. The Flume client installation directories in the following steps are only examples. Change them to the actual installation directories.</p>
+</p></li><li id="mrs_01_0397__li81278495417"><a name="mrs_01_0397__li81278495417"></a><a name="li81278495417"></a><span>Copy the configuration file of the authentication server from the Master1 node to the <em id="mrs_01_0397__i467011272592">Flume client installation directory</em><strong id="mrs_01_0397__b1455144116599">/fusioninsight-flume-</strong><span id="mrs_01_0397__text47312414715"><em id="mrs_01_0397__i7238195525911">Flume component version number</em></span><strong id="mrs_01_0397__b146484519020">/conf</strong> directory on the node where the Flume client is installed.</span><p><p id="mrs_01_0397__p1912818491043">The full file path is <strong id="mrs_01_0397__b31803913312">${BIGDATA_HOME}/FusionInsight_</strong><span id="mrs_01_0397__text361035191118"><strong id="mrs_01_0397__b718112915333">BASE_</strong><em id="mrs_01_0397__i163311813193115">XXX</em></span><strong id="mrs_01_0397__b5187419193315">/1_</strong><span id="mrs_01_0397__text1036612458314"><em id="mrs_01_0397__i13462124914318">X</em></span><strong id="mrs_01_0397__b04131232333">_KerberosClient/etc/kdc.conf</strong>. In the preceding path, <span class="parmname" id="mrs_01_0397__parmname1575274511338"><b>XXX</b></span> indicates the product version number. <span class="parmname" id="mrs_01_0397__parmname7755164583313"><b>X</b></span> indicates a random number. Replace them based on site requirements. The file must be saved by the user who installs the Flume client, for example, user <strong id="mrs_01_0397__b333209018">root</strong>.</p>
+</p></li><li id="mrs_01_0397__li6128114911418"><span>Check the service IP address of any node where the Flume role is deployed.</span><p><p id="mrs_01_0397__p109301819113114">Log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. Choose <strong id="mrs_01_0397__b2032411289519">Cluster &gt; Services &gt; Flume &gt; Instance</strong>. Check the service IP address of any node where the Flume role is deployed.</p>
+</p></li><li id="mrs_01_0397__li4130849748"><a name="mrs_01_0397__li4130849748"></a><a name="li4130849748"></a><span>Copy the user authentication file from this node to the <em id="mrs_01_0397__i1630391498">Flume client installation directory</em><span class="filepath" id="mrs_01_0397__filepath1473138144"><b>/fusioninsight-flume-Flume component version number/conf</b></span> directory on the Flume client node.</span><p><p id="mrs_01_0397__p15131104920419">The full file path is <strong id="mrs_01_0397__b1261520361350">${BIGDATA_HOME}/FusionInsight_Porter_</strong><em id="mrs_01_0397__i1435635293516">XXX</em><strong id="mrs_01_0397__b15446104713515">/install/FusionInsight-Flume-</strong><em id="mrs_01_0397__i943315023618">Flume component version number</em><strong id="mrs_01_0397__b122147103611">/flume/conf/flume.keytab</strong>.</p>
+<p id="mrs_01_0397__p101311749743">In the preceding paths, <span class="parmname" id="mrs_01_0397__parmname472768707"><b>XXX</b></span> indicates the product version number. Change it based on the site requirements. The file must be saved by the user who installs the Flume client, for example, user <strong id="mrs_01_0397__b1227937073">root</strong>.</p>
+</p></li><li id="mrs_01_0397__li313120496411"><span>Copy the <span class="filepath" id="mrs_01_0397__filepath1259082109"><b>jaas.conf</b></span> file from this node to the <span class="filepath" id="mrs_01_0397__filepath570760916"><b>conf</b></span> directory on the Flume client node.</span><p><p id="mrs_01_0397__p108276123317">The full file path is <strong id="mrs_01_0397__b587410810371">${BIGDATA_HOME}/FusionInsight_Current/1_</strong><em id="mrs_01_0397__i148271319183720">X</em><strong id="mrs_01_0397__b107401213173716">_Flume/etc/jaas.conf</strong>.</p>
+<p id="mrs_01_0397__p121320491049">In the preceding path, <span class="parmname" id="mrs_01_0397__parmname5517144455217"><b>X</b></span> indicates a random number. Change it based on the site requirements. The file must be saved by the user who installs the Flume client, for example, user <strong id="mrs_01_0397__b1066213164">root</strong>.</p>
+</p></li><li id="mrs_01_0397__li31329494415"><a name="mrs_01_0397__li31329494415"></a><a name="li31329494415"></a><span>Log in to the Flume client node and go to the client installation directory. Run the following command to modify the file:</span><p><p id="mrs_01_0397__p1513234914415"><strong id="mrs_01_0397__b11132114911416">vi conf/jaas.conf</strong></p>
+<p id="mrs_01_0397__p8132134917416">Change the full path of the user authentication file defined by <span class="parmname" id="mrs_01_0397__parmname304068234"><b>keyTab</b></span> to the <span class="filepath" id="mrs_01_0397__filepath2003084318"><b>Flume client installation directory/fusioninsight-flume-<span id="mrs_01_0397__text1930181299"><em id="mrs_01_0397__i487892622">Flume component version number</em></span>/conf</b></span> saved in <a href="#mrs_01_0397__li4130849748">4</a>, and save the modification and exit.</p>
+</p></li><li id="mrs_01_0397__li01322491414"><span>Run the following command to modify the <span class="filepath" id="mrs_01_0397__filepath38954248"><b>flume-env.sh</b></span> configuration file of the Flume client:</span><p><p id="mrs_01_0397__p51325495417"><strong id="mrs_01_0397__b1509514088">vi </strong><em id="mrs_01_0397__i1812114680">Flume client installation directory</em><strong id="mrs_01_0397__b655574013">/fusioninsight-flume-</strong><span id="mrs_01_0397__text217710191"><em id="mrs_01_0397__i731681110">Flume component version number</em></span><strong id="mrs_01_0397__b1289277344">/conf/flume-env.sh</strong></p>
+<p id="mrs_01_0397__p10133164913412">Add the following information after <span class="parmvalue" id="mrs_01_0397__parmvalue900600841"><b>-XX:+UseCMSCompactAtFullCollection</b></span>:</p>
+<pre class="screen" id="mrs_01_0397__screen9133249544">-Djava.security.krb5.conf=<em id="mrs_01_0397__i372408698">Flume client installation directory</em>/fusioninsight-flume-1.9.0/conf/kdc.conf -Djava.security.auth.login.config=<em id="mrs_01_0397__i362010831">Flume client installation directory</em>/fusioninsight-flume-1.9.0/conf/jaas.conf -Dzookeeper.request.timeout=120000</pre>
+<p id="mrs_01_0397__p181335491640">Example: <strong id="mrs_01_0397__b184321941133719">"-XX:+UseCMSCompactAtFullCollection -Djava.security.krb5.conf=</strong><strong id="mrs_01_0397__b3441124117373">/opt/FlumeClient</strong>/<strong id="mrs_01_0397__b1644118412377">fusioninsight-flume</strong><strong id="mrs_01_0397__b0441184120374">-</strong><span id="mrs_01_0397__text5442144119371"><em id="mrs_01_0397__i7442041123719">Flume component version number</em></span><strong id="mrs_01_0397__b1444216417373">/conf/kdc.conf -Djava.security.auth.login.config=</strong><strong id="mrs_01_0397__b1744204113719">/opt/FlumeClient</strong>/<strong id="mrs_01_0397__b4443124183719">fusioninsight-flume-</strong><span id="mrs_01_0397__text3443541153713"><em id="mrs_01_0397__i104431441113716">Flume component version number</em></span><strong id="mrs_01_0397__b11443184113719">/conf/jaas.conf -Dzookeeper.request.timeout=120000"</strong></p>
+<p id="mrs_01_0397__p7133549541">Change <em id="mrs_01_0397__i1747806650">Flume client installation directory</em> to the actual installation directory. Then save and exit.</p>
+</p></li><li id="mrs_01_0397__li15133949946"><span>Run the following command to restart the Flume client:</span><p><p id="mrs_01_0397__p9863101120393"><strong id="mrs_01_0397__b229517591370">cd </strong><em id="mrs_01_0397__i629605915378">Flume client installation directory</em><strong id="mrs_01_0397__b19296959153719">/fusioninsight-flume-</strong><span id="mrs_01_0397__text6297185983711"><em id="mrs_01_0397__i18296195923712">Flume component version number</em></span><strong id="mrs_01_0397__b11297135913711">/bin</strong></p>
+<p id="mrs_01_0397__p15863111123914"><strong id="mrs_01_0397__b9863911143918">./flume-manage.sh restart</strong></p>
+<p id="mrs_01_0397__p2063491363912">Example:</p>
+<p id="mrs_01_0397__p513313491046"><strong id="mrs_01_0397__b1462484460">cd /opt/FlumeClient/fusioninsight-flume-</strong><span id="mrs_01_0397__text2098288146"><em id="mrs_01_0397__i487111452">Flume component version number</em></span><strong id="mrs_01_0397__b793671374">/bin</strong></p>
+<p id="mrs_01_0397__p21334491644"><strong id="mrs_01_0397__b013313491647">./flume-manage.sh restart</strong></p>
+</p></li><li id="mrs_01_0397__li1391318335141"><span>Configure jobs based on actual service scenarios.</span><p><ul id="mrs_01_0397__ul143551339101419"><li id="mrs_01_0397__li1355339151418">Some parameters, for MRS 3.<em id="mrs_01_0397__i1262063915212">x</em> or later, can be configured on Manager.</li><li id="mrs_01_0397__li18902144615149">Set the parameters in the <strong id="mrs_01_0397__b1683775314417">properties.properties</strong> file. The following uses SpoolDir Source+File Channel+Kafka Sink as an example.<p id="mrs_01_0397__p7419182722014">Run the following command on the node where the Flume client is installed. Configure and save jobs in the Flume client configuration file <strong id="mrs_01_0397__b12015481643">properties.properties</strong> based on actual service requirements.</p>
+<p id="mrs_01_0397__p1126102042013"><strong id="mrs_01_0397__b1840436028">vi </strong><em id="mrs_01_0397__i329927176">Flume client installation directory</em><strong id="mrs_01_0397__b758370028">/fusioninsight-flume-</strong><span id="mrs_01_0397__text1887635697"><em id="mrs_01_0397__i944320618">Flume component version number</em></span><strong id="mrs_01_0397__b2097568844">/conf/properties.properties</strong></p>
+<pre class="screen" id="mrs_01_0397__screen152611320142014">#########################################################################################
+client.sources = static_log_source  
+client.channels = static_log_channel 
+client.sinks = kafka_sink
+#########################################################################################
+#LOG_TO_HDFS_ONLINE_1
+
+client.sources.static_log_source.type = spooldir
+client.sources.static_log_source.spoolDir = <em id="mrs_01_0397__i184511510103910">Monitoring directory</em>
+client.sources.static_log_source.fileSuffix = .COMPLETED
+client.sources.static_log_source.ignorePattern = ^$
+client.sources.static_log_source.trackerDir = <em id="mrs_01_0397__i8881213153915">Metadata storage path during transmission</em>
+client.sources.static_log_source.maxBlobLength = 16384
+client.sources.static_log_source.batchSize = 51200
+client.sources.static_log_source.inputCharset = UTF-8
+client.sources.static_log_source.deserializer = LINE
+client.sources.static_log_source.selector.type = replicating
+client.sources.static_log_source.fileHeaderKey = file
+client.sources.static_log_source.fileHeader = false
+client.sources.static_log_source.basenameHeader = true
+client.sources.static_log_source.basenameHeaderKey = basename
+client.sources.static_log_source.deletePolicy = never
+
+client.channels.static_log_channel.type = file
+client.channels.static_log_channel.dataDirs = <em id="mrs_01_0397__i1884141673911">Data cache path. Multiple paths, separated by commas (,), can be configured to improve performance.</em>
+client.channels.static_log_channel.checkpointDir = <em id="mrs_01_0397__i3486121918396">Checkpoint storage path</em>
+client.channels.static_log_channel.maxFileSize = 2146435071
+client.channels.static_log_channel.capacity = 1000000
+client.channels.static_log_channel.transactionCapacity = 612000
+client.channels.static_log_channel.minimumRequiredSpace = 524288000
+
+client.sinks.kafka_sink.type = org.apache.flume.sink.kafka.KafkaSink
+client.sinks.kafka_sink.kafka.topic = <em id="mrs_01_0397__i965311225399">Topic to which data is written, for example, <strong id="mrs_01_0397__b365332215391">flume_test</strong></em>
+client.sinks.kafka_sink.kafka.bootstrap.servers = <em id="mrs_01_0397__i1117469208">XXX</em>.<em id="mrs_01_0397__i1281317150">XXX</em>.<em id="mrs_01_0397__i212227060">XXX</em>.<em id="mrs_01_0397__i2093152102">XXX</em>:<em id="mrs_01_0397__i208992129">Kafka port number</em>,<em id="mrs_01_0397__i1676159719">XXX</em>.<em id="mrs_01_0397__i1848854889">XXX</em>.<em id="mrs_01_0397__i690594805">XXX</em>.<em id="mrs_01_0397__i1751552559">XXX</em>:<em id="mrs_01_0397__i1302113153">Kafka port number</em>,<em id="mrs_01_0397__i1015049785">XXX</em>.<em id="mrs_01_0397__i1648374724">XXX</em>.<em id="mrs_01_0397__i1468749894">XXX</em>.<em id="mrs_01_0397__i593685745">XXX</em>:<em id="mrs_01_0397__i19561183">Kafka port number</em>
+client.sinks.kafka_sink.flumeBatchSize = 1000
+client.sinks.kafka_sink.kafka.producer.type = sync
+client.sinks.kafka_sink.kafka.security.protocol = SASL_PLAINTEXT
+client.sinks.kafka_sink.kafka.kerberos.domain.name = <em id="mrs_01_0397__i16432172518395">Kafka domain name. This parameter is mandatory for a security cluster, for example, <strong id="mrs_01_0397__b943211252390">hadoop.xxx.com</strong>.</em>
+client.sinks.kafka_sink.requiredAcks = 0
+
+client.sources.static_log_source.channels = static_log_channel
+client.sinks.kafka_sink.channel = static_log_channel</pre>
+<div class="note" id="mrs_01_0397__note1927092016207"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0397__ul1927062072014"><li id="mrs_01_0397__li122711120182014"><strong id="mrs_01_0397__b1439928183913">client.sinks.kafka_sink.kafka.topic</strong>: Topic to which data is written. If the topic does not exist in Kafka, it is automatically created by default.</li><li id="mrs_01_0397__li12718205208"><strong id="mrs_01_0397__b27451633123910">client.sinks.kafka_sink.kafka.bootstrap.servers</strong>: List of Kafka Brokers, which are separated by commas (,). By default, the port is <strong id="mrs_01_0397__b690314364391">21007</strong> for a security cluster and <strong id="mrs_01_0397__b13903173623917">9092</strong> for a normal cluster.</li><li id="mrs_01_0397__li6271192012204"><strong id="mrs_01_0397__b85364018393">client.sinks.kafka_sink.kafka.security.protocol</strong>: The value is <strong id="mrs_01_0397__b12538406393">SASL_PLAINTEXT</strong> for a security cluster and <strong id="mrs_01_0397__b35394018398">PLAINTEXT</strong> for a normal cluster.</li><li id="mrs_01_0397__li17271132010203"><strong id="mrs_01_0397__b2331194323914">client.sinks.kafka_sink.kafka.kerberos.domain.name</strong>:<p id="mrs_01_0397__p5271720102016">You do not need to set this parameter for a normal cluster. For a security cluster, the value of this parameter is the value of <strong id="mrs_01_0397__b8881165017396">kerberos.domain.name</strong> in the Kafka cluster.</p>
+<p id="mrs_01_0397__p182711620162015">For versions earlier than MRS 1.9.2, obtain the value by checking <strong id="mrs_01_0397__b10658653143915"><span id="mrs_01_0397__text1365712532391">${BIGDATA_HOME}</span></strong><strong id="mrs_01_0397__b1765845310392">/FusionInsight/etc/1_</strong><em id="mrs_01_0397__i0658165311396">X</em><strong id="mrs_01_0397__b56583535398">_Broker/server.properties</strong> on the node where the broker instance resides.</p>
+<p id="mrs_01_0397__p1327242018201">Obtain the value for versions earlier than MRS 3.<em id="mrs_01_0397__i166070567398">x</em> by checking <strong id="mrs_01_0397__b2060818567395"><span id="mrs_01_0397__text56082566392">${BIGDATA_HOME}</span></strong><strong id="mrs_01_0397__b146081256183914">/MRS_Current/1_</strong><em id="mrs_01_0397__i176091256143911">X</em><strong id="mrs_01_0397__b1609156193919">_Broker/etc/server.properties</strong> on the node where the broker instance resides.</p>
+<p id="mrs_01_0397__p1427202012203">In the preceding paths, <span class="parmname" id="mrs_01_0397__parmname43368094017"><b>X</b></span> indicates a random number. Change it based on site requirements. The file must be saved by the user who installs the Flume client, for example, user <strong id="mrs_01_0397__b650686645">root</strong>.</p>
+</li></ul>
+</div></div>
+</li></ul>
+</p></li><li id="mrs_01_0397__li1313611498420"><span>After the parameters are set and saved, the Flume client automatically loads the content configured in <strong id="mrs_01_0397__b177471138174013">properties.properties</strong>. When new log files are generated by spoolDir, the files are sent to Kafka producers and can be consumed by Kafka consumers. </span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0390.html">Using Flume</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0400.html b/docs/mrs/component-operation-guide/mrs_01_0400.html
new file mode 100644
index 000000000..5afd9b635
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0400.html
@@ -0,0 +1,32 @@
+<a name="mrs_01_0400"></a><a name="mrs_01_0400"></a>
+
+<h1 class="topictitle1">Using Loader</h1>
+<div id="body1589421630537"><p id="mrs_01_0400__en-us_topic_0070859521_p8060118"></p>
+</div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1084.html">Using Loader from Scratch</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0401.html">How to Use Loader</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0402.html">Loader Link Configuration</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0403.html">Managing Loader Links (Versions Earlier Than MRS 3.x)</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0404.html">Source Link Configurations of Loader Jobs</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0405.html">Destination Link Configurations of Loader Jobs</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0406.html">Managing Loader Jobs</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0407.html">Preparing a Driver for MySQL Database Link</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1165.html">Loader Log Overview</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0408.html">Example: Using Loader to Import Data from OBS to HDFS</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1785.html">Common Issues About Loader</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0401.html b/docs/mrs/component-operation-guide/mrs_01_0401.html
new file mode 100644
index 000000000..c57703f07
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0401.html
@@ -0,0 +1,25 @@
+<a name="mrs_01_0401"></a><a name="mrs_01_0401"></a>
+
+<h1 class="topictitle1">How to Use Loader</h1>
+<div id="body1589421630539"><p id="mrs_01_0401__p184721821141115">This section applies to MRS clusters earlier than 3.<em id="mrs_01_0401__i7587522119">x</em>.</p>
+<div class="section" id="mrs_01_0401__s2c1174ba8a1745bdbec25fb04ff5bd42"><h4 class="sectiontitle">Process</h4><p id="mrs_01_0401__en-us_topic_0070859522_p201434415950">The process for migrating user data with Loader is as follows:</p>
+<ol id="mrs_01_0401__oe8d43fdac9f842cfae9fcae6f285d8ea"><li id="mrs_01_0401__l407c413fc4de419e83bb6dc47e01e459">Access the Loader page of the Hue web UI.</li><li id="mrs_01_0401__l0105b2a2e088437882b37985d0eebe02">Manage Loader links.</li><li id="mrs_01_0401__l3d303e51083c4b4e896d5b395b31c389">Create a job and select a data source link and a link for saving data.</li><li id="mrs_01_0401__lab2ec997257d44439b91f8898fbb8250">Run the job to complete data migration.</li></ol>
+</div>
+<div class="section" id="mrs_01_0401__s12f4baccf3914471bee631d0ca198278"><a name="mrs_01_0401__s12f4baccf3914471bee631d0ca198278"></a><a name="s12f4baccf3914471bee631d0ca198278"></a><h4 class="sectiontitle">Loader Page</h4><p id="mrs_01_0401__a5d93b3db5213467c94d4b93a0e11dd13">The Loader page is a graphical data migration management tool based on the open source Sqoop web UI and is hosted on the Hue web UI. Perform the following operations to access the Loader page:</p>
+<ol id="mrs_01_0401__o0ccdf6e190ba4491b87c2bb3d6a6e8a2"><li id="mrs_01_0401__l0934a1066f8c4d6e878f3fb6509a3433">Access the Hue web UI. For details, see <a href="mrs_01_0370.html">Accessing the Hue Web UI</a>.</li><li id="mrs_01_0401__l4bcf37712197447da959a6ad3f59c175">Choose <span class="menucascade" id="mrs_01_0401__menucascade667763545218"><b><span class="uicontrol" id="mrs_01_0401__uicontrol467093520528">Data Browsers</span></b> &gt; <b><span class="uicontrol" id="mrs_01_0401__uicontrol86779359528">Sqoop</span></b></span>.<p id="mrs_01_0401__a6335d720267a4071afc26d73e3896769">The job management tab page is displayed by default on the Loader page.</p>
+</li></ol>
+</div>
+<div class="section" id="mrs_01_0401__s7b05140de291447bb30c2ed52d728a25"><h4 class="sectiontitle">Loader Links</h4><p id="mrs_01_0401__ad3684babefd34f0ea51dbe2772f2cfd4">Loader links save data location information. Loader uses links to access data or save data to the specified location. Perform the following operations to access the Loader link management page:</p>
+<ol id="mrs_01_0401__od015057f25f84d109917ecbb504cead4"><li id="mrs_01_0401__lb36dd034f0c64a3aaeb250b5ef6c0779">Access the Loader page.</li><li id="mrs_01_0401__l09d9ca1e681542278fc12435083c62b7">Click <span class="uicontrol" id="mrs_01_0401__uicontrol348993485411"><b>Manage links</b></span>.<p id="mrs_01_0401__a7c0ba6474a91415b9fd83ecaab7344de">The Loader link management page is displayed.</p>
+<p id="mrs_01_0401__a411ab43c513f48c59a4ec278af21f337">Click <strong id="mrs_01_0401__b1891812613567">Manage jobs</strong> to return to the job management page.</p>
+</li><li id="mrs_01_0401__l1ac330cf2c864f8f94f408fd07534e33">Click <span class="uicontrol" id="mrs_01_0401__uicontrol82975311565"><b>New link</b></span> to go to the configuration page and set parameters to create a Loader link.</li></ol>
+</div>
+<div class="section" id="mrs_01_0401__sb39f33881efd4672bc340e7052e19dcd"><h4 class="sectiontitle">Loader Jobs</h4><p id="mrs_01_0401__a57226c1b553f4fc2a8873d109c232a58">Loader jobs are used to manage data migration tasks. Each job consists of a source data link and a destination data link. A job reads data from the source link and saves data to the destination link to complete a data migration task.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0400.html">Using Loader</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0402.html b/docs/mrs/component-operation-guide/mrs_01_0402.html
new file mode 100644
index 000000000..7b6b3711d
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0402.html
@@ -0,0 +1,168 @@
+<a name="mrs_01_0402"></a><a name="mrs_01_0402"></a>
+
+<h1 class="topictitle1">Loader Link Configuration</h1>
+<div id="body1589421630544"><p id="mrs_01_0402__p184721821141115">This section applies to versions earlier than MRS 3.x.</p>
+<div class="section" id="mrs_01_0402__s928381114aed4b4eb08f287c5d5c9ff0"><h4 class="sectiontitle">Overview</h4><p id="mrs_01_0402__ab5a40e6abe83416a9abbd160af2e1c84">Loader supports the following links. This section describes configurations of each link.</p>
+<ul id="mrs_01_0402__u972fdc4f57654cb99baf8fe9c9f2fee9"><li id="mrs_01_0402__l88cd15feba154ba6909afd2caff91f2e">obs-connector</li><li id="mrs_01_0402__en-us_topic_0070859523_li99429165022">generic-jdbc-connector</li><li id="mrs_01_0402__lca80c526506c4523bd7fee177e803ea7">ftp-connector or sftp-connector</li><li id="mrs_01_0402__l93b43b9241054138a4de60d300a3eedf">hbase-connector, hdfs-connector, or hive-connector</li></ul>
+</div>
+<div class="section" id="mrs_01_0402__s5482eab8b69a44a48a2fcb069390d769"><h4 class="sectiontitle">OBS Link</h4><p id="mrs_01_0402__aed2558df2ab0497a91c347733da36ce6">An OBS link is a data exchange channel between Loader and OBS. <a href="#mrs_01_0402__t6fd2dae9f81e4309906aec5754a1bf77">Table 1</a> describes the configuration parameters.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0402__t6fd2dae9f81e4309906aec5754a1bf77"></a><a name="t6fd2dae9f81e4309906aec5754a1bf77"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0402__t6fd2dae9f81e4309906aec5754a1bf77" frame="border" border="1" rules="all"><caption><b>Table 1 </b><strong id="mrs_01_0402__b182829717015">obs-connector</strong> configuration</caption><thead align="left"><tr id="mrs_01_0402__r137dee3f5f374cc0aa2586646ee6e7f4"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.3.3.2.3.1.1"><p id="mrs_01_0402__a627d04c3bed542ca886bfc68a9b8e9f8">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="75%" id="mcps1.3.3.3.2.3.1.2"><p id="mrs_01_0402__ad3b306f3d0a64bafaa221cf2fe77da4c">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0402__r75b3ea3932de44b088048608c4c28ce9"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_0402__a88056ffebe56418a9581070f10620af3">Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_0402__adc68371588e644e2a905780696e5bd2c">Name of a Loader connection</p>
+</td>
+</tr>
+<tr id="mrs_01_0402__r83539d320ccf4f29a0f97e7c7dfbb1a7"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_0402__a1dca11d6ea8c4978a1bae3fb0dff116f">OBS Server</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_0402__adfe2884f2ceb4bc0b25206cfbb6bf641">Enter an OBS endpoint. The common format is <strong id="mrs_01_0402__b15726164212010">OBS.<em id="mrs_01_0402__i127208421302">Region</em>.<em id="mrs_01_0402__i13725154217016">DomainName</em></strong>.</p>
+<p id="mrs_01_0402__ad44d6bb798c8427fa9fe799fe5e47b14">Run the following command to query the endpoints of OBS:</p>
+<p id="mrs_01_0402__a3bdfda38c7d04f4caec64efc28de5005"><strong id="mrs_01_0402__b1487913260378">cat /opt/Bigdata/apache-tomcat-7.0.78/webapps/web/WEB-INF/classes/cloud-obs.properties</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_0402__r3a39b60ab21a4a5aaf15f5c2ffc704f7"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_0402__a8b4fc4fa805f42429edde9f47ad17eba">Port</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_0402__a40679334b4ed40c8a4b04e91e6d76f31">Specifies the port for accessing OBS data. The default value is <strong id="mrs_01_0402__b146941029110">443</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_0402__rc2e8e22efedb4d3d838f7974f7bcb6b4"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_0402__a16fafb8f3a124bce92f19224ead7f9b6">Access Key</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_0402__a431e5ad7b6994ed0ac2d29b45ade0209">AK for a user to access OBS</p>
+</td>
+</tr>
+<tr id="mrs_01_0402__rd91ff600dac148dd8aacb26451ee7282"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_0402__a2a090421a28641f79a56cb9bbc06c882">Security Key</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_0402__aa5b12f69d23149da9fb23e2ebdffcd80">SK corresponding to AK</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_0402__s3adba992c44845858448dc54a3ac5cf9"><h4 class="sectiontitle">Relational Database Link</h4><p id="mrs_01_0402__adcc1ccd2b1514155820bea333053c75b">A relational database link is a data exchange channel between Loader and a relational database. <a href="#mrs_01_0402__t938c9f27e7004e4dbcca6c3c0ba5d8a2">Table 2</a> describes the configuration parameters.</p>
+<div class="note" id="mrs_01_0402__n4d400d227dc145bba15b43a297f50033"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0402__a2037d1fbb5b842248faeb21df22edb9c">Some parameters are hidden by default. They appear only after you click <span class="uicontrol" id="mrs_01_0402__u8ee04daa112f477b9be7148cf1eb0df4"><b>Show Senior Parameter</b></span>.</p>
+</div></div>
+
+<div class="tablenoborder"><a name="mrs_01_0402__t938c9f27e7004e4dbcca6c3c0ba5d8a2"></a><a name="t938c9f27e7004e4dbcca6c3c0ba5d8a2"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0402__t938c9f27e7004e4dbcca6c3c0ba5d8a2" frame="border" border="1" rules="all"><caption><b>Table 2 </b><strong id="mrs_01_0402__b051782011312">generic-jdbc-connector</strong> configuration</caption><thead align="left"><tr id="mrs_01_0402__r661eb1d54660464287aba708fc753996"><th align="left" class="cellrowborder" valign="top" width="24.98%" id="mcps1.3.4.4.2.3.1.1"><p id="mrs_01_0402__a20a6f27b9d31433f840a881b1206815c">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="75.02%" id="mcps1.3.4.4.2.3.1.2"><p id="mrs_01_0402__adfb44363195440f2a7280697a12a8c63">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0402__ra5933fe0252d43f48c2fb0208e405579"><td class="cellrowborder" valign="top" width="24.98%" headers="mcps1.3.4.4.2.3.1.1 "><p id="mrs_01_0402__a3275474d3c0b4d1991f36b2fa1a3b63a">Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.02%" headers="mcps1.3.4.4.2.3.1.2 "><p id="mrs_01_0402__a1a7573b8837c489996efba3fd736257d">Name of a Loader link</p>
+</td>
+</tr>
+<tr id="mrs_01_0402__r3fc53024658642fcb2c64af3f6b7e434"><td class="cellrowborder" valign="top" width="24.98%" headers="mcps1.3.4.4.2.3.1.1 "><p id="mrs_01_0402__af635ba364828447ca4ef60ffbd43d2a4">Database Type</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.02%" headers="mcps1.3.4.4.2.3.1.2 "><p id="mrs_01_0402__ab7e9e57963be46cdb3e02e52a36f856b">Data types supported by Loader links: <span class="parmvalue" id="mrs_01_0402__parmvalue674244230"><b>ORACLE</b></span>, <span class="parmvalue" id="mrs_01_0402__parmvalue1279164415318"><b>MYSQL</b></span>, and <span class="parmvalue" id="mrs_01_0402__parmvalue57916441320"><b>MPPDB</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_0402__r4311edf3c2b047ccb5f76102f88b6884"><td class="cellrowborder" valign="top" width="24.98%" headers="mcps1.3.4.4.2.3.1.1 "><p id="mrs_01_0402__a0ae257455c41460e927354b8c0ecb9e3">Host</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.02%" headers="mcps1.3.4.4.2.3.1.2 "><p id="mrs_01_0402__a157eb7708b17412794a0763f577b497f">Database access address, which can be an IP address or domain name.</p>
+</td>
+</tr>
+<tr id="mrs_01_0402__rf73f722e1124452fb7110e1e0cf7ae63"><td class="cellrowborder" valign="top" width="24.98%" headers="mcps1.3.4.4.2.3.1.1 "><p id="mrs_01_0402__ad059997a2cc54945b12ae54f74c9b37d">Port</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.02%" headers="mcps1.3.4.4.2.3.1.2 "><p id="mrs_01_0402__ad5356c0b42f745398b2eb3e07498ebd7">Port for accessing the database</p>
+</td>
+</tr>
+<tr id="mrs_01_0402__r772165140c1842b086c536808b2d78fe"><td class="cellrowborder" valign="top" width="24.98%" headers="mcps1.3.4.4.2.3.1.1 "><p id="mrs_01_0402__a127a3254cdfc49569b6c977cca823cdc">Database</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.02%" headers="mcps1.3.4.4.2.3.1.2 "><p id="mrs_01_0402__a46cf76cd1e27423eb62f37c50c1b8315">Name of the database saving data</p>
+</td>
+</tr>
+<tr id="mrs_01_0402__r4eab374a45ce4443a4c1ec51a21fee56"><td class="cellrowborder" valign="top" width="24.98%" headers="mcps1.3.4.4.2.3.1.1 "><p id="mrs_01_0402__a7918e2a020ce42aabba551fe9f2184e3">Username</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.02%" headers="mcps1.3.4.4.2.3.1.2 "><p id="mrs_01_0402__aa1156464e7da46348d07b7d3c6925998">Username for accessing the database</p>
+</td>
+</tr>
+<tr id="mrs_01_0402__r69bb7673014d4f9cbab32855f42f9082"><td class="cellrowborder" valign="top" width="24.98%" headers="mcps1.3.4.4.2.3.1.1 "><p id="mrs_01_0402__a352b7c1090c547ebb482d5c3361f879a">Password</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.02%" headers="mcps1.3.4.4.2.3.1.2 "><p id="mrs_01_0402__en-us_topic_0070859523_p806192162119">Password of the user Use the actual password.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0402__t30f489226f7443c48d00aba34748e7e9" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Senior parameter configuration</caption><thead align="left"><tr id="mrs_01_0402__r9aad057702e3479eb8333fe4a7a59067"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.5.2.3.1.1"><p id="mrs_01_0402__a4ed3e9b266124dc39c6ab45df420592a">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="75%" id="mcps1.3.5.2.3.1.2"><p id="mrs_01_0402__a2b1d0c4851d0490682a3f27cb28290d2">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0402__ra0ccb42f274647d789a595e748cb7610"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.5.2.3.1.1 "><p id="mrs_01_0402__a730ee559f70e46c8817bf06ed45fb1fb">Fetch Size</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.5.2.3.1.2 "><p id="mrs_01_0402__af443076bb81c4a4e96d6c769116ac0b4">A maximum volume of data obtained during each database access</p>
+</td>
+</tr>
+<tr id="mrs_01_0402__r307d76119ab8451f8c5b5d9e684a0a9f"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.5.2.3.1.1 "><p id="mrs_01_0402__a6289e89f766d4b8fb691e7b54c6d3096">Connection Properties</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.5.2.3.1.2 "><p id="mrs_01_0402__ab42f409947ce4f46a2797a9db0064fb4">Drive properties exclusive to the database link supported by databases of different types, for example, <span class="parmname" id="mrs_01_0402__p796e02d97991427bb1ce9ce1807f80fa"><b>autoReconnect</b></span> of MYSQL. If you want to define the drive properties, click <span class="uicontrol" id="mrs_01_0402__u0331134384b6442597038da80adfed57"><b>Add</b></span>.</p>
+</td>
+</tr>
+<tr id="mrs_01_0402__r081305e477a84585abca25cc1b22b7e6"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.5.2.3.1.1 "><p id="mrs_01_0402__a50787e91ce0d4a518125aea32823fcc3">Identifier Enclose</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.5.2.3.1.2 "><p id="mrs_01_0402__a2c428ddb0d454b1aad3e019fcb955a40">Delimiter for reserving keywords in the database SQL. Delimiters defined in different databases vary.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="section" id="mrs_01_0402__s73ada4f9d7e94890a00a2c7a90856ba6"><a name="mrs_01_0402__s73ada4f9d7e94890a00a2c7a90856ba6"></a><a name="s73ada4f9d7e94890a00a2c7a90856ba6"></a><h4 class="sectiontitle">File Server Link</h4><p id="mrs_01_0402__a83b344ae422b4a64ae39091fdc245fd6">File server links include FTP and SFTP links and serve as a data exchange channel between Loader and a file server. <a href="#mrs_01_0402__t15d36a6a4bda4efe8b7dd5d4abb70019">Table 4</a> describes the configuration parameters.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0402__t15d36a6a4bda4efe8b7dd5d4abb70019"></a><a name="t15d36a6a4bda4efe8b7dd5d4abb70019"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0402__t15d36a6a4bda4efe8b7dd5d4abb70019" frame="border" border="1" rules="all"><caption><b>Table 4 </b><strong id="mrs_01_0402__b44091871879">ftp-connector</strong> or <strong id="mrs_01_0402__b20409107275">sftp-connector</strong> configuration</caption><thead align="left"><tr id="mrs_01_0402__r9c1a011a175249e49afb7265fc80fff5"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.6.3.2.3.1.1"><p id="mrs_01_0402__a9efe23ac1f544dee8e837d1db5979e43">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="75%" id="mcps1.3.6.3.2.3.1.2"><p id="mrs_01_0402__a271f379076824840a5c88fa8531af562">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0402__r0961571163fc4d38b510ef27d85e0e6f"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.3.2.3.1.1 "><p id="mrs_01_0402__a2fbe412a8f3747fdb6632be895e386af">Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.6.3.2.3.1.2 "><p id="mrs_01_0402__a08c97dd694c74c1cb6f40b7c8a983954">Name of a Loader link</p>
+</td>
+</tr>
+<tr id="mrs_01_0402__r778dca00da264f99a40091a8264fdca8"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.3.2.3.1.1 "><p id="mrs_01_0402__a7460771288324fcfae18a327d2db15d1">Hostname/IP</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.6.3.2.3.1.2 "><p id="mrs_01_0402__a3f3e13f5f72343068daf47c873bbe6bd">Enter the file server access address, which can be a host name or IP address.</p>
+</td>
+</tr>
+<tr id="mrs_01_0402__r9d4370c88f1c443186d1bf066f12c7d2"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.3.2.3.1.1 "><p id="mrs_01_0402__a9b42b4e816fb4c679b324c2797c92a7f">Port</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.6.3.2.3.1.2 "><p id="mrs_01_0402__afa2c0342b5b74c1999ef4de5f11c8e0c">Port for accessing the file server.</p>
+<ul id="mrs_01_0402__ubacd452575c14d83baa3ceb00e53f1b4"><li id="mrs_01_0402__l836bac37d7134bc0ba49fe84a9f0339f">Use port <span class="parmvalue" id="mrs_01_0402__p438c53d55fc04ad19e0e46e9fbfbf3ec"><b>21</b></span> for FTP.</li><li id="mrs_01_0402__l5bc9042462ab4a238049ee6a22c1ced0">Use port <span class="parmvalue" id="mrs_01_0402__pa34e4048da8148ecb5690201042eea4e"><b>22</b></span> for SFTP.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_0402__r8205631f6d344155b338f71c9513bf5e"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.3.2.3.1.1 "><p id="mrs_01_0402__a2189dec77c094a5999e0939eb7c83d30">Username</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.6.3.2.3.1.2 "><p id="mrs_01_0402__a50155294694b48ca885323431e8c6cca">Username for logging in to the file server</p>
+</td>
+</tr>
+<tr id="mrs_01_0402__r2bb8b33d1b144d1fbff83cf4ee8eb969"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.3.2.3.1.1 "><p id="mrs_01_0402__afe76cd83f59c4b718b8c585feb4f2c42">Password</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.6.3.2.3.1.2 "><p id="mrs_01_0402__a4c031e198a25489c8a36770bf6078b15">Password of the user</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_0402__s363f37eedcd7492bb75ef7b426b0000b"><h4 class="sectiontitle">MRS Cluster Link</h4><p id="mrs_01_0402__ab66927290c5a4046ac72de55f865137f">MRS cluster links include HBase, HDFS, and Hive links and serve as a data exchange channel between Loader and HBase, HDFS, or Hive.</p>
+<p id="mrs_01_0402__ac21d5a03072143a2b0b7aa2f0e593932">When configuring an MRS cluster link, set the name, select a connector, for example, <span class="parmvalue" id="mrs_01_0402__parmvalue1658352611819"><b>hbase-connector</b></span>, <span class="parmvalue" id="mrs_01_0402__parmvalue1858813261183"><b>hdfs-connector</b></span>, or <span class="parmvalue" id="mrs_01_0402__parmvalue1258813260812"><b>hive-connector</b></span>, and save the settings.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0400.html">Using Loader</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0403.html b/docs/mrs/component-operation-guide/mrs_01_0403.html
new file mode 100644
index 000000000..f9c403abb
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0403.html
@@ -0,0 +1,32 @@
+<a name="mrs_01_0403"></a><a name="mrs_01_0403"></a>
+
+<h1 class="topictitle1">Managing Loader Links (Versions Earlier Than MRS 3.x)</h1>
+<div id="body1589421630547"><div class="section" id="mrs_01_0403__sd0aa691d931c4275be7db53ceb1ede5f"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0403__a88dd56fd66064a489c44b14de0c1debe">You can create, view, edit, and delete links on the Loader page.</p>
+<p id="mrs_01_0403__p10574124203716">This section applies to versions earlier than MRS 3.x.</p>
+</div>
+<div class="section" id="mrs_01_0403__sf4ee43f1495449978e389f1f20b5705d"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_0403__a1a65634ef2434f4f93d6872c42525abe">You have accessed the Loader page. For details, see <a href="mrs_01_0401.html#mrs_01_0401__s12f4baccf3914471bee631d0ca198278">Loader Page</a>.</p>
+</div>
+<div class="section" id="mrs_01_0403__s11a09a35dae6449786ccbf16ec72c5fb"><h4 class="sectiontitle">Creating a Link</h4><ol id="mrs_01_0403__o27de83a559e04d9193c17a64ec36fbc3"><li id="mrs_01_0403__l60885524f3254b0c9589293d43cb2bd2"><span>On the Loader page, click <span class="uicontrol" id="mrs_01_0403__ud1db1aef2cc7458c9929d3801634f3a9"><b>Manage links</b></span>.</span></li><li id="mrs_01_0403__l4ebed27769be4e86aab6a1a6e8ce4eb4"><span>Click <span class="uicontrol" id="mrs_01_0403__u1decd13b438c49d58f94426b5b762ac6"><b>New link</b></span> and configure link parameters.</span><p><p id="mrs_01_0403__a7e775f0cd34f42848cff94e4082f2148">For details about the parameters, see <a href="mrs_01_0402.html">Loader Link Configuration</a>.</p>
+</p></li><li id="mrs_01_0403__l36da0902a2dd43178a25dbae7bdee236"><span>Click <span class="uicontrol" id="mrs_01_0403__ud2f8433b0f0f47c996de454b753c4d64"><b>Save</b></span>.</span><p><p id="mrs_01_0403__ab6d4e904d344475d93a269a054bf1157">If link configurations, for example, IP address, port, and access user information, are incorrect, the link will fail to be verified and saved. In addition, VPC configurations may affect the network connectivity.</p>
+<div class="note" id="mrs_01_0403__nd76e8e0a7e854635a12a72c466d44257"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0403__en-us_topic_0070859524_p419584381043">You can click <span class="uicontrol" id="mrs_01_0403__ubb82efc98cfc416b800700852bcf3922"><b>Test</b></span> to immediately check whether the link is available.</p>
+</div></div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0403__s5cb20b57ea8f40959de85acbc2d317fe"><h4 class="sectiontitle">Viewing a Link</h4><ol id="mrs_01_0403__offe734cffbf14da2be729f82f827815d"><li id="mrs_01_0403__l37a1571ce6ea4088b7eae4332accc254"><span>On the Loader page, click <span class="uicontrol" id="mrs_01_0403__uee40fb049adf49c394b1321f69ec8acb"><b>Manage links</b></span>.</span><p><ul id="mrs_01_0403__ufd3d3601cc3948ab98c9dd0172b4c505"><li id="mrs_01_0403__lf1a62c4c05a14f4890739479b3123dd9">If Kerberos authentication is enabled for the cluster, all links created by the current user are displayed by default and other users' links cannot be displayed.</li><li id="mrs_01_0403__l4a089065405c4cd78dac4b113d78f114">If Kerberos authentication is disabled for the cluster, all Loader links of the cluster are displayed.</li></ul>
+</p></li><li id="mrs_01_0403__l39427685aab141aeb3c16b62eb6be983"><span>In <span class="parmname" id="mrs_01_0403__pf2400870436443a2a6631d30e0df9229"><b>Sqoop Links</b></span>, enter a link name to filter the link.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_0403__s28cd1b53ac2f4667b3bb913714771b26"><h4 class="sectiontitle">Editing a Link</h4><ol id="mrs_01_0403__o62d1f86874f2449c8d2ce096f4247a4a"><li id="mrs_01_0403__l612b89209868453b9f9eb662c8016837"><span>On the Loader page, click <span class="uicontrol" id="mrs_01_0403__u734db4b376c341d2933892f060578978"><b>Manage links</b></span>.</span></li><li id="mrs_01_0403__lb079f0399cc7465d9d4dba4c831386ac"><span>Click the link name to go to the edit page.</span></li><li id="mrs_01_0403__l5be12d652055488480d006943dab4edb"><a name="mrs_01_0403__l5be12d652055488480d006943dab4edb"></a><a name="l5be12d652055488480d006943dab4edb"></a><span>Modify the link configuration parameters based on service requirements.</span></li><li id="mrs_01_0403__l50521083faef4b8ba9205427b9dce3fa"><span>Click <span class="uicontrol" id="mrs_01_0403__ua5aa31a9f71748a9a8cb9a873b502326"><b>Test</b></span>.</span><p><p id="mrs_01_0403__a265ce32d34894eab9a6618d04db7b8a6">If the test is successful, go to <a href="#mrs_01_0403__l4e4fbb8553194cc8914e87c2ddde2152">5</a>. If a message displays indicating that OBS server cannot be connected, repeat <a href="#mrs_01_0403__l5be12d652055488480d006943dab4edb">3</a>.</p>
+</p></li><li id="mrs_01_0403__l4e4fbb8553194cc8914e87c2ddde2152"><a name="mrs_01_0403__l4e4fbb8553194cc8914e87c2ddde2152"></a><a name="l4e4fbb8553194cc8914e87c2ddde2152"></a><span>Click <span class="uicontrol" id="mrs_01_0403__u3fc9e801a2ab40cca54b80bcf866a36c"><b>Save</b></span>.</span><p><p id="mrs_01_0403__a0ee47453afac4db0be1794b6282b2ba8">If a Loader job has integrated into a Loader link, editing the link parameters may affect Loader running.</p>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0403__s74e3c4ae1b884e8d9443b447c50d13a7"><h4 class="sectiontitle">Deleting a Link</h4><ol id="mrs_01_0403__o9429dcc0237d4f3aa23146aa433e532f"><li id="mrs_01_0403__l88e07226ed3e4dfabe347b172ce5de74"><span>On the Loader page, click <span class="uicontrol" id="mrs_01_0403__ud23e9292f5f4431c9d135de82bcea1d0"><b>Manage links</b></span>.</span></li><li id="mrs_01_0403__ld600de0e0c714b4fb0c956423d60cd4a"><span>Locate the row that contains the target link, and click <strong id="mrs_01_0403__b196353332122">Delete</strong>.</span></li><li id="mrs_01_0403__l18ad2d49920440768f4eb890218caa5c"><span>In the dialog box, click <span class="uicontrol" id="mrs_01_0403__uf246c103626a459dbd25c69595525092"><b>Yes, delete it</b></span>.</span><p><p id="mrs_01_0403__a4fac65c0b532462fb645cb02836f2431">If a Loader job has integrated a Loader link, the link cannot be deleted.</p>
+</p></li></ol>
+<p id="mrs_01_0403__p1738933152615"></p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0400.html">Using Loader</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0404.html b/docs/mrs/component-operation-guide/mrs_01_0404.html
new file mode 100644
index 000000000..f21a89ddc
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0404.html
@@ -0,0 +1,218 @@
+<a name="mrs_01_0404"></a><a name="mrs_01_0404"></a>
+
+<h1 class="topictitle1">Source Link Configurations of Loader Jobs</h1>
+<div id="body1589421630552"><div class="section" id="mrs_01_0404__se787b8d017e44b12aff2f6e2f1b4e627"><h4 class="sectiontitle">Overview</h4><p id="mrs_01_0404__aa302f2771c3743b5b20e3efdb24987ae">When Loader jobs obtain data from different data sources, a link corresponding to a data source type needs to be selected and the link properties need to be configured.</p>
+<p id="mrs_01_0404__p85814576378">This section applies to versions earlier than MRS 3.x.</p>
+</div>
+<div class="section" id="mrs_01_0404__sdd455438f59c455d868736ad52d1097c"><a name="mrs_01_0404__sdd455438f59c455d868736ad52d1097c"></a><a name="sdd455438f59c455d868736ad52d1097c"></a><h4 class="sectiontitle">obs-connector</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0404__t965be05e8bc445ceb862e8444f43702d" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Data source link properties of <strong id="mrs_01_0404__b84235270612316">obs-connector</strong></caption><thead align="left"><tr id="mrs_01_0404__r89610f38a3bd4777bd5e9ca134b222e5"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.2.2.2.3.1.1"><p id="mrs_01_0404__a8072335d76834b18b0f44b7f9c2d21a1">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="75%" id="mcps1.3.2.2.2.3.1.2"><p id="mrs_01_0404__adc3b79b34b2d4c05ad3783fe1724431e">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0404__rf0eae9e862f14c50ad7b3ad004b45b49"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.2.2.3.1.1 "><p id="mrs_01_0404__af0e31907c16b4f3ab5df0206def965ef">Bucket Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.2.2.2.3.1.2 "><p id="mrs_01_0404__a485981e1bcdc42828eeaed6308d4a663">OBS file system for storing source data.</p>
+</td>
+</tr>
+<tr id="mrs_01_0404__r9e0c98cd97f549c98fd562c1fb8ce2ce"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.2.2.3.1.1 "><p id="mrs_01_0404__a202f05431f8e4102ad9a9fb58f7f6e34">Source Directory/File</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.2.2.2.3.1.2 "><p id="mrs_01_0404__a95f75beacfc5450581e99147c1f7f892">Actual storage form of source data. It can be either all data files in a directory or a single data file contained in the file system.</p>
+</td>
+</tr>
+<tr id="mrs_01_0404__rcf91c52be99d428ea9d9d0418b409504"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.2.2.3.1.1 "><p id="mrs_01_0404__a49a663116b1e4a29a383fa8104f0c818">File Format</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.2.2.2.3.1.2 "><p id="mrs_01_0404__a15457bb719344f6e880a4319fa42c522">Loader supports the following file formats of data stored in OBS:</p>
+<ul id="mrs_01_0404__ue5bdb47f32be4b6e9883eadcc42874d5"><li id="mrs_01_0404__l5272ed0b438449e5ae712b46e50385c0"><strong id="mrs_01_0404__b842352706173625">CSV_FILE</strong>: Specifies a text file. When the destination link is a database link, only the text file is supported.</li><li id="mrs_01_0404__lb4580a987e0646ba9cfabefe5b1e2851"><strong id="mrs_01_0404__b842352706173630">BINARY_FILE</strong>: Specifies binary files excluding text files.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_0404__rc2a65a9a1f9d45a889a2b7d892065e33"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.2.2.3.1.1 "><p id="mrs_01_0404__en-us_topic_0071084972_p547205051766">Line Separator</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.2.2.2.3.1.2 "><p id="mrs_01_0404__en-us_topic_0071084972_p527477181766">Identifier of each line end of source data</p>
+</td>
+</tr>
+<tr id="mrs_01_0404__r2c130675a2be4d11a2ddf516de4413e3"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.2.2.3.1.1 "><p id="mrs_01_0404__a06fc20d8943048638481cac86001b285">Field Separator</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.2.2.2.3.1.2 "><p id="mrs_01_0404__a8a4d1140c3a143c7b1766f0995064d1d">Identifier of each field end of source data</p>
+</td>
+</tr>
+<tr id="mrs_01_0404__rcde61c44288b43ac9c08c0a24cb1eea3"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.2.2.3.1.1 "><p id="mrs_01_0404__a8e482078c4934372826fe1b572c9a290">Encoding Type</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.2.2.2.3.1.2 "><p id="mrs_01_0404__aad20a27929c142f7b8f3b7fd77de565f">Text encoding type of source data. It takes effect on text files only.</p>
+</td>
+</tr>
+<tr id="mrs_01_0404__r4b8fe32f452747bd9f0c984691398638"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.2.2.3.1.1 "><p id="mrs_01_0404__en-us_topic_0071084972_p179695571766">File Split Type</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.2.2.2.3.1.2 "><div class="p" id="mrs_01_0404__en-us_topic_0071084972_p98470941766">The following types are supported:<ul id="mrs_01_0404__u9354c314b2a94b48b61fb993acf15d96"><li id="mrs_01_0404__en-us_topic_0071084972_li94552341785"><strong id="mrs_01_0404__b84235270614438">File</strong>: The number of files is assigned to a map task by the total number of files. The calculation formula is <span class="parmvalue" id="mrs_01_0404__parmvalue725802544142242"><b>Total number of files/Extractors</b></span>.</li><li id="mrs_01_0404__lf2d0c21e8edf4a3683ffbc953037dfd6"><strong id="mrs_01_0404__b84235270614441">Size</strong>: A file size is assigned to a map task by the total file size. The calculation formula is <span class="parmvalue" id="mrs_01_0404__parmvalue244487834"><b>Total file size/Extractors</b></span>.</li></ul>
+</div>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_0404__sd84e31a43f93483d8f37f23ccdbb3c1e"><h4 class="sectiontitle">generic-jdbc-connector</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0404__tf66599c326bf46bb841b6a108b17321e" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Data source link properties of <strong id="mrs_01_0404__b1757259257">generic-jdbc-connector</strong></caption><thead align="left"><tr id="mrs_01_0404__rd407a71a8db34b509b61a8d99dbc56bb"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.3.2.2.3.1.1"><p id="mrs_01_0404__a43d562c8796944ce94ea7e5a8b7e27da">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="75%" id="mcps1.3.3.2.2.3.1.2"><p id="mrs_01_0404__a792bdea57e474891b6489f864801ed05">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0404__r3cbc3267179045eea5bcb44d9260a94f"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_0404__a2cc54c2a2da242c794767cfcfafbc346">Schema/Tablespace</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_0404__a99e448b09d484d3f89d2d391ac5eeac3">Name of the database storing source data. You can query and select it on the interface.</p>
+</td>
+</tr>
+<tr id="mrs_01_0404__r6e9c2a3e9d1e4dfc93132e217e84ea7d"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_0404__a8fa190bea6bf4cf0bf8e086bbe79840e">Table Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_0404__abaaa2b7a360a4569a8b0f856f0cf02e5">Data table storing the source data. You can query and select it on the interface.</p>
+</td>
+</tr>
+<tr id="mrs_01_0404__ra31516f8d3de41d2b2e350d4eb3b740c"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_0404__a8bb598fba7764f55ae931fa979fedd42">Partition Column</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_0404__a9f254e46e7504c0e984e8fdd87e4e12e">If multiple columns need to be read, use this column to split the result and obtain data.</p>
+</td>
+</tr>
+<tr id="mrs_01_0404__r58dad8320ec34e29b3280d73bd844969"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_0404__a48e8ee41ce2d4010ab5976b1c7bf5260">Where Clause</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_0404__aaa8d4660374743a492dc69465e398c6a">Query statement used when accessing the database</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_0404__s033d5edc10164032b9ea23d01081beae"><a name="mrs_01_0404__s033d5edc10164032b9ea23d01081beae"></a><a name="s033d5edc10164032b9ea23d01081beae"></a><h4 class="sectiontitle">ftp-connector or sftp-connector</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0404__t48b1b68e9563446d8689be9e4db828e0" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Data source link properties of <strong id="mrs_01_0404__b84235270694830">ftp-connector</strong> or <strong id="mrs_01_0404__b84235270694827">sftp-connector</strong></caption><thead align="left"><tr id="mrs_01_0404__rbac17e98fe924d9c9170415379a10b36"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.4.2.2.3.1.1"><p id="mrs_01_0404__a67a7341ae37a4161b65189b65b8fb3d8">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="75%" id="mcps1.3.4.2.2.3.1.2"><p id="mrs_01_0404__ad08f3f4f9f924eae8e3c405db1a05f45">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0404__ra42b9b35b6b741ac978f2dfe198c8651"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0404__a36540afb5ffa49de8aa79acd1f597bfb">Source Directory/File</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.4.2.2.3.1.2 "><p id="mrs_01_0404__ad6f49542380a44adac6e02a34e5d2149">Actual storage form of source data. It can be either all data files in a directory or single data file contained in the file server.</p>
+</td>
+</tr>
+<tr id="mrs_01_0404__rd80060b048364dea95f430ef620c1045"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0404__a464198f64d3b4357a725fe95d6b32545">File Format</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.4.2.2.3.1.2 "><p id="mrs_01_0404__aa6bfc9fcb4fd4459a74516700b94b1f5">Loader supports the following file formats of data stored in the file server:</p>
+<ul id="mrs_01_0404__uc1fb4b67fa7a40b8802fe069c1c4a5e1"><li id="mrs_01_0404__lc9a70e726d2f400d8f8b4be8166c479c"><strong id="mrs_01_0404__b1175892062716">CSV_FILE</strong>: Specifies a text file. When the destination link is a database link, only the text file is supported.</li><li id="mrs_01_0404__l49b160f7a70746c8b6c2f2af11bff4ca"><strong id="mrs_01_0404__b147022312712">BINARY_FILE</strong>: Specifies binary files excluding text files.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_0404__r6075ad2b6e7e4aaf895d7d93651a40d3"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0404__a39cbaf2d9d17449d9e1834255d231318">Line Separator</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.4.2.2.3.1.2 "><p id="mrs_01_0404__a9dc23093b3b54e709a62c2aee1b183b7">Identifier of each line end of source data</p>
+<div class="note" id="mrs_01_0404__n14452d7c4e10432f96e42859bb7b0860"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0404__ad46fbccebc4d439eaf1eeb910b99b781">If FTP or SFTP serves as a source link and <strong id="mrs_01_0404__b14494105062712">File Format</strong> is set to <strong id="mrs_01_0404__b82297592276">BINARY_FILE</strong>, the value of <strong id="mrs_01_0404__b172391728145410">Line Separator</strong> in the advanced properties is invalid.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_0404__r9461de09b93c48248b8fb56358b3fb03"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0404__ac9f0f153056148faa8df41590deaa5a2">Field Separator</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.4.2.2.3.1.2 "><p id="mrs_01_0404__aec1a8685dd7d4d409a65df82132a7897">Identifier of each field end of source data</p>
+<div class="note" id="mrs_01_0404__n3a78d39b9ff241e2ad62dac2e8d81a63"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0404__a8760c2ab5b794168a5a39db4e3a7622a">If FTP or SFTP serves as a source link and <strong id="mrs_01_0404__b1484135213545">File Format</strong> is set to <strong id="mrs_01_0404__b984845213546">BINARY_FILE</strong>, the value of <strong id="mrs_01_0404__b198491652145413">Field Separator</strong> in the advanced properties is invalid.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_0404__re66c91fd98c74fe6b4390b4125d9a09d"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0404__ab5055adc799e472d92b78746524524ec">Encoding Type</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.4.2.2.3.1.2 "><p id="mrs_01_0404__aea6207e7e660498b8eba02c82dfc8b98">Text encoding type of source data. It takes effect on text files only.</p>
+</td>
+</tr>
+<tr id="mrs_01_0404__rce09f49b2e224a7a90d3b485dffa0054"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0404__ae61c499e201f4ecf9ea8ff99281d6d1e">File Split Type</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.4.2.2.3.1.2 "><div class="p" id="mrs_01_0404__acc3a803d73fa45559033f392c885fbab">The following types are supported:<ul id="mrs_01_0404__ub3e19f90832e4366a4d2c81f8ebb0431"><li id="mrs_01_0404__l9f52def2a6544848823ba7c0ebb4939c"><strong id="mrs_01_0404__b399610252308">File</strong>: The number of files is assigned to a map task by the total number of files. The calculation formula is <span class="parmvalue" id="mrs_01_0404__parmvalue14252633017"><b>Total number of files/Extractors</b></span>.</li><li id="mrs_01_0404__ld1c13aa7c64c4302a6a4e3ec6d6ef998"><strong id="mrs_01_0404__b164851027153015">Size</strong>: A file size is assigned to a map task by the total file size. The calculation formula is <span class="parmvalue" id="mrs_01_0404__parmvalue54851827113013"><b>Total file size/Extractors</b></span>.</li></ul>
+</div>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_0404__s14d5b5fb6b6d4767847a0b8ea25b3da7"><h4 class="sectiontitle">hbase-connector</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0404__t4b650ca517a146df971786eaa4af2ad2" frame="border" border="1" rules="all"><caption><b>Table 4 </b>Data source link properties of <strong id="mrs_01_0404__b663692564">hbase-connector</strong></caption><thead align="left"><tr id="mrs_01_0404__r560adc7480434d588126b2a821b29d87"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.5.2.2.3.1.1"><p id="mrs_01_0404__ac373b4206d484352a38b18378af82b7a">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="75%" id="mcps1.3.5.2.2.3.1.2"><p id="mrs_01_0404__adf019a29b0b14801b6992a81625c917d">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0404__r3cca16159e92414f87fc8a3cdaa2b3ba"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.5.2.2.3.1.1 "><p id="mrs_01_0404__a7b07040abad3438bad3550996b27ee5c">Table Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.5.2.2.3.1.2 "><p id="mrs_01_0404__ac0d12bdb2af548ad8f59e896260085ef">HBase table storing source data</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_0404__sf7d0abeee0644e4396f4d4666ba879f3"><h4 class="sectiontitle">hdfs-connector</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0404__tb77070175c9049beaeb9b100dc5df454" frame="border" border="1" rules="all"><caption><b>Table 5 </b>Data source link properties of <strong id="mrs_01_0404__b14975546">hdfs-connector</strong></caption><thead align="left"><tr id="mrs_01_0404__r7558ba2fe7dc4b14a76a7c98a7cf05ae"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.6.2.2.3.1.1"><p id="mrs_01_0404__a2dc201da49a941eca588fb1da4e4165d">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="75%" id="mcps1.3.6.2.2.3.1.2"><p id="mrs_01_0404__a67507f5c293842699f1f33667113faa4">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0404__r7867d379e7734023b4798166ce8a1b76"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.1.1 "><p id="mrs_01_0404__en-us_topic_0071084972_p385045217275">Source Directory/File</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.6.2.2.3.1.2 "><p id="mrs_01_0404__ad29a9fced04f418ba257fcff25a3e2ce">Actual storage form of source data. It can be either all data files in a directory or single data file contained in HDFS.</p>
+</td>
+</tr>
+<tr id="mrs_01_0404__red833ae7f38d4f1cab5c68222dc7d048"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.1.1 "><p id="mrs_01_0404__a4e6624234a364bbcbe6b3b52332ae441">File Format</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.6.2.2.3.1.2 "><p id="mrs_01_0404__a4fff3fc891ba44e2aac6847f32f2ad82">Loader supports the following file formats of data stored in HDFS:</p>
+<ul id="mrs_01_0404__uacba7d5c84d84514ba2c61eaa36805a4"><li id="mrs_01_0404__l4f1702bdcecc4ada8fbd153c2bad40b0"><strong id="mrs_01_0404__b537112611317">CSV_FILE</strong>: Specifies a text file. When the destination link is a database link, only the text file is supported.</li><li id="mrs_01_0404__lcf74adb0c0f6483daf20d433cba86fcd"><strong id="mrs_01_0404__b1832193063119">BINARY_FILE</strong>: Specifies binary files excluding text files.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_0404__r0dd938cd29d24e958b3bfc840a28dab3"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.1.1 "><p id="mrs_01_0404__a661a6871ff7d42e1ade037600f140172">Line Separator</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.6.2.2.3.1.2 "><p id="mrs_01_0404__a6c6b3edaa22f4fd79591332f6483b11b">Identifier of each line end of source data</p>
+<div class="note" id="mrs_01_0404__n891b951ef4c7493a9b9025e9ed2e817c"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0404__ade7060074ac149d6b337f1ff8d92e899">If HDFS serves as a source link and <strong id="mrs_01_0404__b29190243157">File Format</strong> is set to <strong id="mrs_01_0404__b14919172416157">BINARY_FILE</strong>, the value of <strong id="mrs_01_0404__b8920224101520">Line Separator</strong> in the advanced properties is invalid.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_0404__r9ec8ef25ff2647dc8465aefc2a075c4a"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.1.1 "><p id="mrs_01_0404__a34ba003afd8e4c52bc3d8ae1888172b1">Field Separator</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.6.2.2.3.1.2 "><p id="mrs_01_0404__ae8acbfb210504a93a6fb4dc368887d05">Identifier of each field end of source data</p>
+<div class="note" id="mrs_01_0404__n84553400b67d4b7baa520df16c9a5079"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0404__ae27fd36befe640fe89bb27bdfbc88ea8">If HDFS serves as a source link and <strong id="mrs_01_0404__b1494919110564">File Format</strong> is set to <strong id="mrs_01_0404__b9954712564">BINARY_FILE</strong>, the value of <strong id="mrs_01_0404__b1295416111562">Field Separator</strong> in the advanced properties is invalid.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_0404__r89e2cb7caae045f5952e9fb06d16423e"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.1.1 "><p id="mrs_01_0404__a4d90c32d837140c5bcb8355995d227cd">File Split Type</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.6.2.2.3.1.2 "><div class="p" id="mrs_01_0404__ad91cb084f4fd4c199075a3310e9e63d3">The following types are supported:<ul id="mrs_01_0404__en-us_topic_0071084972_en-us_topic_0071084972_ul200684591785"><li id="mrs_01_0404__en-us_topic_0071084972_en-us_topic_0071084972_li94552341785"><strong id="mrs_01_0404__b17787161711332">File</strong>: The number of files is assigned to a map task by the total number of files. The calculation formula is <span class="parmvalue" id="mrs_01_0404__parmvalue979351793314"><b>Total number of files/Extractors</b></span>.</li><li id="mrs_01_0404__en-us_topic_0071084972_en-us_topic_0071084972_li22998232171132"><strong id="mrs_01_0404__b15331202333">Size</strong>: A file size is assigned to a map task by the total file size. The calculation formula is <span class="parmvalue" id="mrs_01_0404__parmvalue4533220123315"><b>Total file size/Extractors</b></span>.</li></ul>
+</div>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_0404__s792acd5598e84c68bd801ad8f80e728c"><h4 class="sectiontitle">hive-connector</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0404__t907d02227ef5419eb1d3871e25546a5c" frame="border" border="1" rules="all"><caption><b>Table 6 </b>Data source link properties of <strong id="mrs_01_0404__b694172477">hive-connector</strong></caption><thead align="left"><tr id="mrs_01_0404__r5c7b95c178894c9d9e546ce6fc22c3bc"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.7.2.2.3.1.1"><p id="mrs_01_0404__a26825152cbe548bea9d6598ced7a9565">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="75%" id="mcps1.3.7.2.2.3.1.2"><p id="mrs_01_0404__aba7826d72809468dbe05dc94c62a9a50">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0404__rdf7f60b2307a4e4eaa7e8d2b24e9f906"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.7.2.2.3.1.1 "><p id="mrs_01_0404__ae2bd3f3c804148abb83107bafd536a38">Database Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.7.2.2.3.1.2 "><p id="mrs_01_0404__aa18a4f696ab14f8d870e5402be551b02">Name of the Hive database storing the data source. You can query and select it on the interface.</p>
+</td>
+</tr>
+<tr id="mrs_01_0404__ra1f979146752439cbbde30a256fac209"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.7.2.2.3.1.1 "><p id="mrs_01_0404__a2b51c5d42b24478292f0f13d42bc7e25">Table</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.7.2.2.3.1.2 "><p id="mrs_01_0404__a1bc7c9d129444cf3995d9487fe10eb3c">Name of the Hive table storing the data source. You can query and select it on the interface.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0400.html">Using Loader</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_0405"></a><a name="mrs_01_0405"></a>
+
+<h1 class="topictitle1">Destination Link Configurations of Loader Jobs</h1>
+<div id="body1589421630555"><div class="section" id="mrs_01_0405__sf4db6484f4f947c1a67e8d2a1652b035"><h4 class="sectiontitle">Overview</h4><p id="mrs_01_0405__a09ff7605620f4830beee940efa7894ad">When Loader jobs save data to different storage locations, a destination link needs to be selected and the link properties need to be configured.</p>
+</div>
+<div class="section" id="mrs_01_0405__s6d4f1f57f7d946518783a17a4f4a200c"><h4 class="sectiontitle">obs-connector</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0405__t56a7d8c11195431fb3877b80b9539cab" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Destination link properties of <strong id="mrs_01_0405__b84235270694929">obs-connector</strong></caption><thead align="left"><tr id="mrs_01_0405__rb7b0153467a140deaeed3f9cc7093eb2"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.2.2.2.3.1.1"><p id="mrs_01_0405__a67ead871b0204914af6b12b55c064129">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="75%" id="mcps1.3.2.2.2.3.1.2"><p id="mrs_01_0405__a248d5396ad184cc7ad5ae64c5f402c59">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0405__r07847718f0704541b6bff575e5784f9c"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.2.2.3.1.1 "><p id="mrs_01_0405__a7fe524d77a614a5ea912e285ca0fc125">Bucket Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.2.2.2.3.1.2 "><p id="mrs_01_0405__a881633228678422f95ab2c458c31c4b1">OBS file system for storing final data.</p>
+</td>
+</tr>
+<tr id="mrs_01_0405__r16b75f9011cd4c7d99ab371ed47ed51c"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.2.2.3.1.1 "><p id="mrs_01_0405__ac4c68684857e4efc99d99dc85222c02c">Output Directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.2.2.2.3.1.2 "><p id="mrs_01_0405__a9f77db72f4ed4e958b65c42e3b9de45c">Directory for storing final data in the file system. A directory must be specified.</p>
+</td>
+</tr>
+<tr id="mrs_01_0405__r2305e8f75ae847d1b84dc864de398133"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.2.2.3.1.1 "><p id="mrs_01_0405__aee06b3797d234ec5b860baedf97f7886">File Format</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.2.2.2.3.1.2 "><p id="mrs_01_0405__a9c3d17fe47a24df8b40eb67d49bde80c">Loader supports the following file formats of data stored in OBS:</p>
+<ul id="mrs_01_0405__ua203f41442a14e63b349131dac80d508"><li id="mrs_01_0405__l30ce427409714693bdc8f19f81d5a2f1"><strong id="mrs_01_0405__b4256173614424">CSV_FILE</strong>: Specifies a text file. When the destination link is a database link, only the text file is supported.</li><li id="mrs_01_0405__l6c937a42a4444dd5b42a2cd2b37190a7"><strong id="mrs_01_0405__b12952113819421">BINARY_FILE</strong>: Specifies binary files excluding text files.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_0405__r18f80222f79e42b7a65ec4737fba9d3f"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.2.2.3.1.1 "><p id="mrs_01_0405__ab11f2e51a1494873b852abd8794c8ada">Line Separator</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.2.2.2.3.1.2 "><p id="mrs_01_0405__a933cf558c3974613a0e9b86866d9ebb3">Identifier of each line end of final data</p>
+</td>
+</tr>
+<tr id="mrs_01_0405__rbca97f25e93e45c9a5168f32c3c66b12"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.2.2.3.1.1 "><p id="mrs_01_0405__a0e26894054cf412ca85a2847d50abdb2">Field Separator</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.2.2.2.3.1.2 "><p id="mrs_01_0405__a51fc0e5a558544a4a251c3366b4700f7">Identifier of each field end of final data</p>
+</td>
+</tr>
+<tr id="mrs_01_0405__rf8b40b927d4145b88d8d680c82896b93"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.2.2.3.1.1 "><p id="mrs_01_0405__a6977dff1a749499cbefcaa2908c0f901">Encoding Type</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.2.2.2.3.1.2 "><p id="mrs_01_0405__ad3c196a1c9f24a7c9a90ef29022c7007">Text encoding type of final data. It takes effect on text files only.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_0405__s2ef6997327ec4448a256efa62d00dd8f"><h4 class="sectiontitle">generic-jdbc-connector</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0405__tbf6ec10da2b443b18168e9e37dc648d8" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Destination link properties of <strong id="mrs_01_0405__b84235270694936">generic-jdbc-connector</strong></caption><thead align="left"><tr id="mrs_01_0405__r71d3668e828842cc922153b1982568cb"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.3.2.2.3.1.1"><p id="mrs_01_0405__a8e7577dc339748c3ace69ca7a1995b09">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="75%" id="mcps1.3.3.2.2.3.1.2"><p id="mrs_01_0405__a3af52b28f7be4da89dd5d9bd3fce775e">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0405__r836c7340842c4478bdf8b311e721c1f1"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_0405__ab6d989b0560248f9b4f85c075ada4e74">Schema Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_0405__a955c3c3dc1454c3db5cc47d7cad05b34">Name of the database storing final data</p>
+</td>
+</tr>
+<tr id="mrs_01_0405__r5e341ebcc6e24ec3ab6d1b5e9e096855"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_0405__a854db138893d45d4b88268991fed0721">Table</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_0405__a8aae9d8199954ae3a80386b9cbe1f277">Name of the table saving final data</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_0405__sffd34a136db7486295f08167d80914d3"><h4 class="sectiontitle">ftp-connector or sftp-connector</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0405__t161560b9aca8429c972e5b5df931beba" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Destination link properties of <strong id="mrs_01_0405__b84235270694945">ftp-connector</strong> or <strong id="mrs_01_0405__b84235270694947">sftp-connector</strong></caption><thead align="left"><tr id="mrs_01_0405__r43ae323c72f54f97a947909d7a897c38"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.4.2.2.3.1.1"><p id="mrs_01_0405__afafe26c8621d4481bec4ac4ea4d18e18">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="75%" id="mcps1.3.4.2.2.3.1.2"><p id="mrs_01_0405__a71d73e26126f4366b9e08b830068109b">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0405__r0cfea59125fc4836b8d0ed1f825bfd06"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0405__a5a4f69a69103482fae75f177d6ed3cbc">Output Directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.4.2.2.3.1.2 "><p id="mrs_01_0405__aded13967ce994e91925366c14559c6ca">Directory for storing final data in the file server. A directory must be specified.</p>
+</td>
+</tr>
+<tr id="mrs_01_0405__rd6360ee259e741c1b7d8880fb2ec6161"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0405__a96ca0c8ad06548d199b008cb9691f0b9">File Format</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.4.2.2.3.1.2 "><p id="mrs_01_0405__a022bedfa25234562a419e7a7c5e1efe8">Loader supports the following file formats of data stored in the file server:</p>
+<ul id="mrs_01_0405__u2cc922e6badd46fe84bbff316f36b2b1"><li id="mrs_01_0405__lf35098319b7a4a469db9a40d7ec238ec"><strong id="mrs_01_0405__b1119492714313">CSV_FILE</strong>: Specifies a text file. When the destination link is a database link, only the text file is supported.</li><li id="mrs_01_0405__lf40ef7dbd18e4477a99caaddc49cc229"><strong id="mrs_01_0405__b195601029154317">BINARY_FILE</strong>: Specifies binary files excluding text files.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_0405__r71117888b8b94eaca06df40d859dd741"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0405__ae0d38c2d379f4ddab669f57b14d1a3ef">Line Separator</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.4.2.2.3.1.2 "><p id="mrs_01_0405__a5555fd7400e942c89e4681c0ac2d3116">Identifier of each line end of final data</p>
+<div class="note" id="mrs_01_0405__n4748c5f3970b4286aa17382dc2450dcc"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0405__aecead33cc33b42a9bef7510c04b9637f">If FTP or SFTP serves as a destination link and <strong id="mrs_01_0405__b183439519010">File Format</strong> is set to <strong id="mrs_01_0405__b1034835113016">BINARY_FILE</strong>, the value of <strong id="mrs_01_0405__b734995113014">Line Separator</strong> in the advanced properties is invalid.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_0405__r641fed345951440f9212431735ab1952"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0405__ac0d8bc4c59284887aa6db6bada8224a0">Field Separator</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.4.2.2.3.1.2 "><p id="mrs_01_0405__a1d3f89f4632a496d828470918d78db34">Identifier of each field end of final data</p>
+<div class="note" id="mrs_01_0405__n70c14e72a4ff45caa9327d106708c18d"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0405__a366da565302e4b5fab1da9b5e8842e1d">If FTP or SFTP serves as a destination link and <strong id="mrs_01_0405__b16896892112">File Format</strong> is set to <strong id="mrs_01_0405__b1896192115">BINARY_FILE</strong>, the value of <strong id="mrs_01_0405__b1089711911116">Field Separator</strong> in the advanced properties is invalid.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_0405__rda3cd602372d472eb7f3ba0505324f31"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0405__ab9f6fa964d5b4790807960f9809e8475">Encoding Type</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.4.2.2.3.1.2 "><p id="mrs_01_0405__aaad609187f2a462fb6f9de2053132afc">Text encoding type of final data. It takes effect on text files only.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_0405__s57ae469628564482ae0d21c53587b278"><h4 class="sectiontitle">hbase-connector</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0405__t7b84781f6036461793071602b9770da4" frame="border" border="1" rules="all"><caption><b>Table 4 </b>Destination link properties of <strong id="mrs_01_0405__b84235270694954">hbase-connector</strong></caption><thead align="left"><tr id="mrs_01_0405__rb23a85b8c87e423bad16fea7983d9a9f"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.5.2.2.3.1.1"><p id="mrs_01_0405__a02f8e61f499642b8ac6ace4139bd05b4">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="75%" id="mcps1.3.5.2.2.3.1.2"><p id="mrs_01_0405__a7c71743370c84f658e105f5152403f3c">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0405__re79d99e87dd64e4a92490c61ae5b12ac"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.5.2.2.3.1.1 "><p id="mrs_01_0405__a796f7624aa6d4cfeb19efe45cf2c9fb1">Table Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.5.2.2.3.1.2 "><p id="mrs_01_0405__a4457a35390644911a4b7b0ce274eddf1">Name of the HBase table saving final data. You can query and select it on the interface.</p>
+</td>
+</tr>
+<tr id="mrs_01_0405__r85abe1201f1a4d6b882a7a7e84f61776"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.5.2.2.3.1.1 "><p id="mrs_01_0405__aa09941b252c7478da8552179bb754ae4">Method</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.5.2.2.3.1.2 "><p id="mrs_01_0405__af58b77e5556542c6abc4c5d4b7c5fc1f">Data can be imported to an HBase table using either <strong id="mrs_01_0405__b842352706173745">BULKLOAD</strong> or <strong id="mrs_01_0405__b842352706173749">PUTLIST</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_0405__rb94aa94a3e5d4bc7b8136931def0faef"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.5.2.2.3.1.1 "><p id="mrs_01_0405__a808037bf198844a3a11245e41e7c539f">Clear Data Before Import</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.5.2.2.3.1.2 "><p id="mrs_01_0405__af892c2aadef24f29b81cf366b8d42f7e">Whether to clear data in the destination HBase table. Options are as follows:</p>
+<ul id="mrs_01_0405__u63d56d92dbf1438484aa332e2a6cc3fd"><li id="mrs_01_0405__l8ffc56b17e064212b361b0c39216bb3c"><strong id="mrs_01_0405__b842352706173759">True</strong>: Clean up data in the table.</li><li id="mrs_01_0405__l39f5c55b3a024f0c9f6ced046e0a4f2f"><strong id="mrs_01_0405__b84235270617383">False</strong>: Do not clean up data in the table. If you select <strong id="mrs_01_0405__b082983320311">False</strong>, an error is reported during job running if data exists in the table. </li></ul>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_0405__s0e7a49c2520c498aa9e3d9fa84325e2e"><a name="mrs_01_0405__s0e7a49c2520c498aa9e3d9fa84325e2e"></a><a name="s0e7a49c2520c498aa9e3d9fa84325e2e"></a><h4 class="sectiontitle">hdfs-connector</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0405__t0549e6c84ff84d08a87e8e1856d0561b" frame="border" border="1" rules="all"><caption><b>Table 5 </b>Destination link properties of <strong id="mrs_01_0405__b8423527069505">hdfs-connector</strong></caption><thead align="left"><tr id="mrs_01_0405__r4df7bda561a24d95887ff2015a4eadb7"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.6.2.2.3.1.1"><p id="mrs_01_0405__ad0f79bb317df452c81a461472ab0ff19">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="75%" id="mcps1.3.6.2.2.3.1.2"><p id="mrs_01_0405__ac6fc0ca7732f467bbe6120d363d13790">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0405__rde0c581a3b1f4a1290c81339ec61caf4"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.1.1 "><p id="mrs_01_0405__en-us_topic_0071084973_p385045217275">Output Directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.6.2.2.3.1.2 "><p id="mrs_01_0405__aa204024af5604ccc9a295c0b98ef31c8">Directory for storing final data in HDFS. A directory must be specified.</p>
+</td>
+</tr>
+<tr id="mrs_01_0405__r576b28a3bd554bdbb6c4b0db1379f398"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.1.1 "><p id="mrs_01_0405__a59125ed8641d45e38bfa8ab88c68ead2">File Format</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.6.2.2.3.1.2 "><p id="mrs_01_0405__a7d8ea3077a70449c9cea01fe96819b00">Loader supports the following file formats of data stored in HDFS:</p>
+<ul id="mrs_01_0405__udb8bf478df304e54b353f69a76f112d3"><li id="mrs_01_0405__l494adf52871a46a295fb6ee52226bdff"><strong id="mrs_01_0405__b285743114419">CSV_FILE</strong>: Specifies a text file. When the destination link is a database link, only the text file is supported.</li><li id="mrs_01_0405__l9e1d8e91206b4adcbcfd570820b0cee7"><strong id="mrs_01_0405__b152641362417">BINARY_FILE</strong>: Specifies binary files excluding text files.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_0405__r79d42af328aa414fba6a7460e97641dc"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.1.1 "><p id="mrs_01_0405__en-us_topic_0071084973_p402135418121">Compression Codec</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.6.2.2.3.1.2 "><p id="mrs_01_0405__a9dc559c110f048b3b30ad6bbe3508bf9">Compression mode used when a file is saved to HDFS. The following modes are supported: <strong id="mrs_01_0405__b842352706173846">NONE</strong>, <strong id="mrs_01_0405__b842352706173852">DEFLATE</strong>, <strong id="mrs_01_0405__b842352706173855">GZIP</strong>, <strong id="mrs_01_0405__b84235270617390">BZIP2</strong>, <strong id="mrs_01_0405__b84235270617395">LZ4</strong>, and <strong id="mrs_01_0405__b842352706173910">SNAPPY</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_0405__rec0c3a4cc48c4b5a92b179e6dabfb7bc"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.1.1 "><p id="mrs_01_0405__ad202a0bf826b48959c0b0abc64ef82ad">Overwrite</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.6.2.2.3.1.2 "><p id="mrs_01_0405__a0c7e205c10f248b59250ac409c0529d0">How to process files in the output directory when files are imported to HDFS. Options are as follows:</p>
+<ul id="mrs_01_0405__u85778ae080024bbb92178a5583c51ca0"><li id="mrs_01_0405__l86043b6d7d534f86be1f15c36f408212"><strong id="mrs_01_0405__b842352706173925">True</strong>: Clean up files in the directory and import new files by default.</li><li id="mrs_01_0405__l6dcada6ced394a0d89b3cb7615624187"><strong id="mrs_01_0405__b842352706173928">False</strong>: Do not clean up files. If files exist in the output directory, job running fails.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_0405__r29f7bdc84cb1475aa47829459e18dad6"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.1.1 "><p id="mrs_01_0405__a78d95ac0f934435b83eebf54ecbf3f39">Line Separator</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.6.2.2.3.1.2 "><p id="mrs_01_0405__a2e1f0c3696f948118860c863aef82dd1">Identifier of each line end of final data</p>
+<div class="note" id="mrs_01_0405__n0daee149ceb94e0c9f1e88e783cb47f4"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0405__a8c4817d3136f47809570cddcea4db740">If HDFS serves as a destination link and <strong id="mrs_01_0405__b92692047111616">File Format</strong> is set to <strong id="mrs_01_0405__b827454711165">BINARY_FILE</strong>, the value of <strong id="mrs_01_0405__b82752047181614">Line Separator</strong> in the advanced properties is invalid.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_0405__r94151ab15063402c8eef321739124c9b"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.1.1 "><p id="mrs_01_0405__ad6c56e6bacd84f8680ab686f926c7112">Field Separator</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.6.2.2.3.1.2 "><p id="mrs_01_0405__affdcb2b07f0b448d8445f59c8f186051">Identifier of each field end of final data</p>
+<div class="note" id="mrs_01_0405__ne6127968535b4cf8adb834946d43a0c9"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0405__a86015f958d9e4ada9aec40acf3d6c5b0">If HDFS serves as a destination link and <strong id="mrs_01_0405__b8966144331111">File Format</strong> is set to <strong id="mrs_01_0405__b39719437111">BINARY_FILE</strong>, the value of <strong id="mrs_01_0405__b6972743141120">Field Separator</strong> in the advanced properties is invalid.</p>
+</div></div>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_0405__sa29e63b9762c42a5895bc17a1240edc9"><h4 class="sectiontitle">hive-connector</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0405__t1ad287517e244db183344638cc1d0637" frame="border" border="1" rules="all"><caption><b>Table 6 </b>Destination link properties of <strong id="mrs_01_0405__b84235270695020">hive-connector</strong></caption><thead align="left"><tr id="mrs_01_0405__ra5051a7b50e1476799f649dd4b129f8e"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.7.2.2.3.1.1"><p id="mrs_01_0405__a7775e8ad23be449c97a2100f092a7ca5">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="75%" id="mcps1.3.7.2.2.3.1.2"><p id="mrs_01_0405__a562a111106ed40b3aef74305b37f684e">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0405__ra0bf9ca5b54b44df82b645c92b3357bf"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.7.2.2.3.1.1 "><p id="mrs_01_0405__a1166a8fe5a09431ab58ddc49ef6209c9">Database</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.7.2.2.3.1.2 "><p id="mrs_01_0405__a62d6fa69ff5b4c2d8aa8bd8032525093">Name of the Hive database storing final data. You can query and select it on the interface.</p>
+</td>
+</tr>
+<tr id="mrs_01_0405__r3ddbb8a921714a3c931d5c897bdb5516"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.7.2.2.3.1.1 "><p id="mrs_01_0405__aa9d4983c5d3d42b3a1d71357fb75b265">Table</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.7.2.2.3.1.2 "><p id="mrs_01_0405__aa2f4671db59940d08b5f3a3619d06bd7">Name of the Hive table saving final data. You can query and select it on the interface.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0400.html">Using Loader</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_0406"></a><a name="mrs_01_0406"></a>
+
+<h1 class="topictitle1">Managing Loader Jobs</h1>
+<div id="body1589421630811"><div class="section" id="mrs_01_0406__s172f8b7840734cb2a186560103e0664f"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0406__aff24c5c60eda430aba547e6395403215">You can create, view, edit, and delete jobs on the Loader page.</p>
+<p id="mrs_01_0406__p184721821141115">This section applies to versions earlier than MRS 3.x.</p>
+</div>
+<div class="section" id="mrs_01_0406__sd476a7a66f3d4b549ca9050c09ba2847"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_0406__aa82074160ea940ee8d3f498c09a066ec">You have accessed the Loader page. For details, see <a href="mrs_01_0401.html#mrs_01_0401__s12f4baccf3914471bee631d0ca198278">Loader Page</a>.</p>
+</div>
+<div class="section" id="mrs_01_0406__s1e05ed1345b8456fab83e7e58779dc25"><h4 class="sectiontitle">Creating a Job</h4><ol id="mrs_01_0406__o5d91aedfb1b844afaaae1bb647a8d376"><li id="mrs_01_0406__l1b69e3687055430b915b210f3771bf26"><span>On the Loader page, click <span class="uicontrol" id="mrs_01_0406__uicontrol33330958184943"><b>New job</b></span>.</span></li><li id="mrs_01_0406__l32f4b293c2284f68918c30de1710abaa"><span>In <span class="parmname" id="mrs_01_0406__parmname173054111511"><b>Connection</b></span>, set parameters.</span><p><ol type="a" id="mrs_01_0406__o4b938f480d724437bd0f9e8dcaa29cb7"><li id="mrs_01_0406__lad186a00ac4e4c4ab797e93d22a4f37c">In <span class="parmname" id="mrs_01_0406__parmname2179114472315"><b>Name</b></span>, enter a job name.</li><li id="mrs_01_0406__l923c7e3c49b144c285d5bc5d5348dd05">In <span class="parmname" id="mrs_01_0406__parmname49268852185014"><b>From link</b></span> and <span class="parmname" id="mrs_01_0406__parmname43017930185020"><b>To link</b></span>, select links accordingly.<p id="mrs_01_0406__en-us_topic_0071084974_p490755515134">After you select a link of a type, data is obtained from the specified source and saved to the destination.</p>
+<div class="note" id="mrs_01_0406__nd094e0041acb42208e1309bd56f867ba"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0406__a17328b3e05d24cc792433a84573f9226">If no available link exists, click <span class="uicontrol" id="mrs_01_0406__uicontrol17943887185032"><b>Add a new link</b></span>.</p>
+</div></div>
+</li></ol>
+</p></li><li id="mrs_01_0406__l19daa8ebd2f148c1be1ae12b8db9eac7"><span>In <span class="parmname" id="mrs_01_0406__parmname48271841185040"><b>From</b></span>, configure the job of the source link.</span><p><p id="mrs_01_0406__a8283878f4e024b1bb7b122f5dac47007">For details, see <a href="mrs_01_0404.html">Source Link Configurations of Loader Jobs</a>.</p>
+</p></li><li id="mrs_01_0406__l09207ca5a8474297a6306ecb316f8676"><span>In <span class="parmname" id="mrs_01_0406__parmname4086350185046"><b>To</b></span>, configure the job of the destination link.</span><p><p id="mrs_01_0406__a5210f2c81ade43798514a3173de5f763">For details, see <a href="mrs_01_0405.html">Destination Link Configurations of Loader Jobs</a>.</p>
+</p></li><li id="mrs_01_0406__l524319bcbfa84239bf77472fe2831bb1"><span>Check whether a database link is selected in <span class="parmname" id="mrs_01_0406__parmname39885025185056"><b>To link</b></span>.</span><p><p id="mrs_01_0406__af81e07b58e7c43089f665dce16fc45b1">Database links include:</p>
+<ul id="mrs_01_0406__ub839e2eacb94491a959901357e2d1485"><li id="mrs_01_0406__en-us_topic_0071084974_li99429165022">generic-jdbc-connector</li><li id="mrs_01_0406__lc90a103523254dc0886e790b1873aac0">hbase-connector</li><li id="mrs_01_0406__l201135d3ab2040879294ddc1eef32a8d">hive-connector</li></ul>
+<p id="mrs_01_0406__a5f43b6faf10b482bb4feabcf59e1e417">If you set <span class="parmname" id="mrs_01_0406__parmname167887546716436"><b>To link</b></span> to a database link, you need to configure a mapping between service data and a field in the database table.</p>
+<ul id="mrs_01_0406__ufcd7027ca3114d0b87290d4232458edb"><li id="mrs_01_0406__l3d1c4f69f00d4bc7bb746987c14edc3e">If you set it to a database link, go to <a href="#mrs_01_0406__l56f38eb013c549b2b70d8f3a750ea8c4">6</a>.</li><li id="mrs_01_0406__lbdbabc479fba409f9969f600d64f252c">If you do not set it to a database link, go to <a href="#mrs_01_0406__l8e55b33fad0b4b52b4919120d3ab7597">7</a>.</li></ul>
+</p></li><li id="mrs_01_0406__l56f38eb013c549b2b70d8f3a750ea8c4"><a name="mrs_01_0406__l56f38eb013c549b2b70d8f3a750ea8c4"></a><a name="l56f38eb013c549b2b70d8f3a750ea8c4"></a><span>In <span class="parmname" id="mrs_01_0406__parmname56501539185128"><b>Field Mapping</b></span>, enter a field mapping. Then proceed to <a href="#mrs_01_0406__l8e55b33fad0b4b52b4919120d3ab7597">7</a>.</span><p><p id="mrs_01_0406__a1097a7dcb3524a738a24091e41b3e384"><span class="parmname" id="mrs_01_0406__parmname7530978185132"><b>Field Mapping</b></span> specifies a mapping between each column of user data and a field in the database table.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0406__t8db35033881c4787a479889ab05f7d52" frame="border" border="1" rules="all"><caption><b>Table 1 </b><span class="parmname" id="mrs_01_0406__parmname138555504216112"><b>Field Mapping</b></span> properties</caption><thead align="left"><tr id="mrs_01_0406__r7fadf37f19d1434684d5996690c18916"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.3.2.6.2.2.2.3.1.1"><p id="mrs_01_0406__a0908d93254424b949f4c2351fefe4ab3">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="75%" id="mcps1.3.3.2.6.2.2.2.3.1.2"><p id="mrs_01_0406__ae87ec43a3d804018ab7d8e3ad967803a">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0406__rd9c73ea756164827a3527093bed0dc6c"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.6.2.2.2.3.1.1 "><p id="mrs_01_0406__aa2a6c847ab9646d5a6eb73dc9d502b78">Column Num</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.6.2.2.2.3.1.2 "><p id="mrs_01_0406__accd775862e054e0582fd151cb638e651">Field sequence of service data</p>
+</td>
+</tr>
+<tr id="mrs_01_0406__r8a984dc3dacc4bb5953dbb009e19f620"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.6.2.2.2.3.1.1 "><p id="mrs_01_0406__ade8da1510a3340258d4f24da301e5e28">Sample</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.6.2.2.2.3.1.2 "><p id="mrs_01_0406__a3cb12030f2a14364a68e29cf159cec08">First row of sample values of service data</p>
+</td>
+</tr>
+<tr id="mrs_01_0406__rb0678da8360f4015a5967eb5efa3db03"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.6.2.2.2.3.1.1 "><p id="mrs_01_0406__a4a72143b1cef4d6bb9622d751b45c604">Column Family</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.6.2.2.2.3.1.2 "><p id="mrs_01_0406__a5e550c50319247309ecc9295cf6f767c">When <span class="parmname" id="mrs_01_0406__parmname14246804392954"><b>To link</b></span> is <strong id="mrs_01_0406__b84235270617474">hbase-connector</strong>, you can select a column family for storing data.</p>
+</td>
+</tr>
+<tr id="mrs_01_0406__r7d44d63e62eb4df9881491ee6fd2dbc4"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.6.2.2.2.3.1.1 "><p id="mrs_01_0406__a752d5a31338f4496bf7095955325b77c">Destination Field</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.6.2.2.2.3.1.2 "><p id="mrs_01_0406__a1f4cd890f024498b92d9e8fd76560e42">Field for storing data</p>
+</td>
+</tr>
+<tr id="mrs_01_0406__r3e9efdcdfd354c6b861df89a664338bf"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.6.2.2.2.3.1.1 "><p id="mrs_01_0406__a7c19e90f39654d86b793ac8d2430fc0f">Type</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.6.2.2.2.3.1.2 "><p id="mrs_01_0406__a8e843ce3a0384fabba2672e3c730b18e">Type of the field selected by the user</p>
+</td>
+</tr>
+<tr id="mrs_01_0406__r4a97734d452944d2a446ac7300c091c5"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.6.2.2.2.3.1.1 "><p id="mrs_01_0406__a4b3b148df68141cd8b1a83002d9d7571">Row Key</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.6.2.2.2.3.1.2 "><p id="mrs_01_0406__a42f04220b0774e72ae89aa4ed50a011e">When <span class="parmname" id="mrs_01_0406__parmname2042125197161812"><b>To link</b></span> is <strong id="mrs_01_0406__b842352706174727">hbase-connector</strong>, you need to select <span class="parmname" id="mrs_01_0406__parmname1757312859161834"><b>Destination Field</b></span> as a row key.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_0406__n1f76fbf0aa794a31b6c958645553dcca"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0406__en-us_topic_0071084974_p383064159506">If the value of <strong id="mrs_01_0406__b1260115616116">From</strong> is a connector of a file type, for example, SFTP, FTP, OBS, and HDFS files, the value of <strong id="mrs_01_0406__b585117231225">Field Mapping</strong> is the first row of data in the file. Ensure that the first row of data is complete. Otherwise, the Loader job will not extract columns that are not mapped.</p>
+</div></div>
+</p></li><li id="mrs_01_0406__l8e55b33fad0b4b52b4919120d3ab7597"><a name="mrs_01_0406__l8e55b33fad0b4b52b4919120d3ab7597"></a><a name="l8e55b33fad0b4b52b4919120d3ab7597"></a><span>In <span class="parmname" id="mrs_01_0406__parmname36974479154331"><b>Task Config</b></span>, set job running parameters.</span><p>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0406__t0fc7f46bfc1e45c6a9ec15a2e0907c24" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Loader job running properties</caption><thead align="left"><tr id="mrs_01_0406__r7c49faa79b48493a90977ee596e882bd"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.3.2.7.2.1.2.3.1.1"><p id="mrs_01_0406__a9f1a428c7a9b432398732eee31f87692">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="75%" id="mcps1.3.3.2.7.2.1.2.3.1.2"><p id="mrs_01_0406__a8d407e82957a4fb889207f43bfbd19f4">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0406__r94d0a93bc93d49deb1dfb83600f6aec3"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.7.2.1.2.3.1.1 "><p id="mrs_01_0406__ae906b888e1c94499b04715dee7bec621">Extractors</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.7.2.1.2.3.1.2 "><p id="mrs_01_0406__a3df14bc0588d4da496d4f2123641c2e1">Number of Map tasks</p>
+</td>
+</tr>
+<tr id="mrs_01_0406__r9def9f914f9f423fbf3a7606f56f7cce"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.7.2.1.2.3.1.1 "><p id="mrs_01_0406__a685bd07b98584b28aaad79a89134c512">Loaders</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.7.2.1.2.3.1.2 "><p id="mrs_01_0406__a457a3a1a365e4f02bcfdc4f5d7c11752">Number of Reduce tasks</p>
+<p id="mrs_01_0406__a4b34f7012ed147c0be7d3776aaa99bf0">This parameter is displayed only when the destination field is HBase or Hive.</p>
+</td>
+</tr>
+<tr id="mrs_01_0406__rf000788d16f84f92a7524c7e6cff5d78"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.7.2.1.2.3.1.1 "><p id="mrs_01_0406__a03589028c19d4130b74d813df6eb65dc">Max. Error Records in a Single Shard</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.7.2.1.2.3.1.2 "><p id="mrs_01_0406__a618938189e934288bd632e3676737d5c">Error record threshold. If the number of error records of a single Map task exceeds the threshold, the task automatically stops and the obtained data is not returned.</p>
+<div class="note" id="mrs_01_0406__n07eb2914d4c046fcbcb93e4078142074"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0406__a511a2f0502ec4b63b3662653804c5bfa">Data is read and written in batches for <span class="parmname" id="mrs_01_0406__parmname201847020593051"><b>MYSQL</b></span> and <span class="parmname" id="mrs_01_0406__parmname126657715393051"><b>MPPDB</b></span> of <span class="parmname" id="mrs_01_0406__parmname157773387693133"><b>generic-jdbc-connector</b></span> by default. Errors are recorded once at most for each batch of data.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_0406__rcd5d2490f121446dbead7b732d0d3bee"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.7.2.1.2.3.1.1 "><p id="mrs_01_0406__a959d13ef9b0d4b9488bdf1cbba7f6e8c">Dirty Data Directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.7.2.1.2.3.1.2 "><p id="mrs_01_0406__a02a97de10a474db283417da620846d23">Specifies the directory for saving dirty data. If you leave this parameter blank, dirty data will not be saved.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_0406__lc08abc2a126340e89e08900a46fa1262"><span>Click <span class="uicontrol" id="mrs_01_0406__uicontrol1533244512395"><b>Save</b></span>.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_0406__s4e88c9c393144afa8d8bad5fa142cf0b"><h4 class="sectiontitle">Viewing a Job</h4><ol id="mrs_01_0406__oa2155b90a2ff4c86a25019a1a3147246"><li id="mrs_01_0406__l191e304bd48f42b9836780720cb7ed66"><span>Access the Loader page. The Loader job management page is displayed by default.</span><p><ul id="mrs_01_0406__u1e2d3f03508d4b13bfe962c03b48f0f9"><li id="mrs_01_0406__l938d33e30e7a4ab58eed279acf86af31">If Kerberos authentication is enabled for the cluster, all jobs created by the current user are displayed by default and other users' jobs cannot be displayed.</li><li id="mrs_01_0406__l90bf6e29e51c4155a992bd348818979f">If Kerberos authentication is disabled for the cluster, all Loader jobs of the cluster are displayed.</li></ul>
+</p></li><li id="mrs_01_0406__l43c54ae85dbd492786c3af0b5636c142"><span>In <span class="parmname" id="mrs_01_0406__parmname17979794185418"><b>Sqoop Jobs</b></span>, enter a job name to filter the job.</span></li><li id="mrs_01_0406__l3a073232f3e245928d254dcca3487895"><span>Click <span class="uicontrol" id="mrs_01_0406__uicontrol16996588185443"><b>Refresh</b></span> to obtain the latest job status.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_0406__s130d0dc7d09c4c21a253aba69cc208d4"><h4 class="sectiontitle">Editing a Job</h4><ol id="mrs_01_0406__o71c2d14f868244ab82c28b4388af7937"><li id="mrs_01_0406__ldf7f8b885820455da8e8dd9168390bc5"><span>Access the Loader page. The Loader job management page is displayed by default.</span></li><li id="mrs_01_0406__l5de28478c0174501a126c55461b40eea"><span>Click the job name to go to the edit page.</span></li><li id="mrs_01_0406__l4136e4d466f6489faadf3bcc1428a01b"><span>Modify the job configuration parameters based on service requirements.</span></li><li id="mrs_01_0406__l34dd079223724f879b0aad5fbc0a7548"><span>Click <span class="uicontrol" id="mrs_01_0406__uicontrol76199117417"><b>Save</b></span>.</span><p><div class="note" id="mrs_01_0406__ncc406db84a9446f7987bfead6bcc69a9"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0406__a3ba86bea550f44758338ca35e6e1d683">Basic job operations in the navigation bar on the left are <span class="uicontrol" id="mrs_01_0406__uicontrol61695106185549"><b>Run</b></span>, <span class="uicontrol" id="mrs_01_0406__uicontrol49104776185554"><b>Copy</b></span>, <span class="uicontrol" id="mrs_01_0406__uicontrol65719851185559"><b>Delete</b></span>, <span class="uicontrol" id="mrs_01_0406__uicontrol861323118569"><b>Disable</b></span>, <span class="uicontrol" id="mrs_01_0406__uicontrol39144118185624"><b>History Record</b></span>, and <span class="uicontrol" id="mrs_01_0406__uicontrol17891368185643"><b>Show Job JSON Definition</b></span>.</p>
+</div></div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0406__s2f01c8435f564248a0f16df2eb14ca8a"><h4 class="sectiontitle">Deleting a Job</h4><ol id="mrs_01_0406__o5d5bd9be987646d08c7945b24e44b99b"><li id="mrs_01_0406__l90f8ad4d799040d08fe2fa18bbc7aff5"><span>Access the Loader page.</span></li><li id="mrs_01_0406__l0488cc28a82f46c8b7c4bd0c6df6cabc"><span>In the row of the specified job, click <span><img id="mrs_01_0406__i60f0537b6be645cc81e00dac33c6d1c2" src="en-us_image_0000001296090328.jpg"></span>.</span><p><p id="mrs_01_0406__a2501c5411c1846f1a0a3e48a5d69128c">You can also select one or more jobs and click <strong id="mrs_01_0406__b7264615411">Delete</strong> Job in the upper right corner of the job list.</p>
+</p></li><li id="mrs_01_0406__l1b68775ed52d4e57a29714bd00b6f49b"><span>In the dialog box, click <span class="uicontrol" id="mrs_01_0406__uicontrol0525124715410"><b>Yes, delete it</b></span>.</span><p><p id="mrs_01_0406__a1680a7db44054d1b8d9a4b0632bb8229">If the state of a Loader job is <span class="parmname" id="mrs_01_0406__parmname11421720185733"><b>Running</b></span>, the job fails to be deleted.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0400.html">Using Loader</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_0407"></a><a name="mrs_01_0407"></a>
+
+<h1 class="topictitle1">Preparing a Driver for MySQL Database Link</h1>
+<div id="body1589421630813"><div class="section" id="mrs_01_0407__s78832e8225994ed19fa40912fae39571"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0407__a604d2fe4c797496ba2d76da92b289d00">As a component for batch data export, Loader can import and export data using a relational database.</p>
+</div>
+<div class="section" id="mrs_01_0407__s5a9e83ac3b8841a49f5613d1971a74d6"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_0407__a68b7c5b1486f4ff49d8ba9e527a6759b">You have prepared service data.</p>
+</div>
+<div class="section" id="mrs_01_0407__s626c74c010b843ca9b1e640ab095bf5f"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_0407__p11151306401"><strong id="mrs_01_0407__b15573427165519">Procedure for MRS clusters earlier than 3.<em id="mrs_01_0407__i1398315541412">x</em>:</strong></p>
+<ol id="mrs_01_0407__of77e0616b4324b048300a5958d0f914a"><li id="mrs_01_0407__l945d89eadc024485b6c0bd53e78cfce4"><span>Download the MySQL JDBC driver <span class="filepath" id="mrs_01_0407__f2b16126c56784c26bb62794b05ae284c"><b>mysql-connector-java-5.1.21.jar</b></span> from the MySQL official website. For details about how to select the MySQL JDBC driver, see the following table.</span><p>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0407__table13581236105614" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Version information</caption><thead align="left"><tr id="mrs_01_0407__row1335812363567"><th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.3.3.1.2.1.2.3.1.1"><p id="mrs_01_0407__p1735833618565">JDBC Driver Version</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.3.3.1.2.1.2.3.1.2"><p id="mrs_01_0407__p123587364565">MySQL Version</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0407__row535816362569"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.3.1.2.1.2.3.1.1 "><p id="mrs_01_0407__p113584368569">Connector/J 5.1</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.3.1.2.1.2.3.1.2 "><p id="mrs_01_0407__p13581136125613">MySQL 4.1, MySQL 5.0, MySQL 5.1, and MySQL 6.0 alpha</p>
+</td>
+</tr>
+<tr id="mrs_01_0407__row1835853615561"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.3.1.2.1.2.3.1.1 "><p id="mrs_01_0407__p1935873620566">Connector/J 5.0</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.3.1.2.1.2.3.1.2 "><p id="mrs_01_0407__p9359436145613">MySQL 4.1, MySQL 5.0 servers, and distributed transaction (XA)</p>
+</td>
+</tr>
+<tr id="mrs_01_0407__row135914365569"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.3.1.2.1.2.3.1.1 "><p id="mrs_01_0407__p1359736155615">Connector/J 3.1</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.3.1.2.1.2.3.1.2 "><p id="mrs_01_0407__p8359123635614">MySQL 4.1, MySQL 5.0 servers, and MySQL 5.0 except distributed transaction (XA)</p>
+</td>
+</tr>
+<tr id="mrs_01_0407__row135953655619"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.3.1.2.1.2.3.1.1 "><p id="mrs_01_0407__p635915367566">Connector/J 3.0</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.3.1.2.1.2.3.1.2 "><p id="mrs_01_0407__p83591036155610">MySQL 3.x and MySQL 4.1</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_0407__l1a9c2ad65f7747ca999df43aa176a9d0"><span>Upload <span class="filepath" id="mrs_01_0407__f8337f851a0674a8298712dba8934f435"><b>mysql-connector-java-5.1.21.jar</b></span> to the Loader installation directory on the active and standby MRS Master nodes.</span><p><ul id="mrs_01_0407__ud09fa5f67f394ae69f3e92b46375397f"><li id="mrs_01_0407__ld3e67855344d401abbb4d76fb2709994">For versions earlier than MRS 1.9.2, upload the package to <span class="filepath" id="mrs_01_0407__filepath16231174311614"><b>/opt/Bigdata/FusionInsight/FusionInsight-Sqoop-1.99.7/FusionInsight-Sqoop-1.99.7/server/jdbc</b></span>.</li><li id="mrs_01_0407__ld9672360ecaf472e8e4268744bf9534d">For versions later than MRS 1.9.2 and earlier than MRS 3.x, upload the package to <span class="filepath" id="mrs_01_0407__filepath8846115581610"><b>/opt/Bigdata/MRS_XXX/install/FusionInsight-Sqoop-1.99.7/FusionInsight-Sqoop-1.99.7/server/jdbc/</b></span>.<p id="mrs_01_0407__a2f585e6d96fa4b2cb0d5d89e9b494e24">In the preceding path, <span class="parmname" id="mrs_01_0407__parmname11288558145212"><b>XXX</b></span> indicates the MRS version number. Change it based on site requirements.</p>
+</li></ul>
+</p></li><li id="mrs_01_0407__l1af56a3bce61447ea8dfb4f26063b646"><span>Change the owner of the <span class="filepath" id="mrs_01_0407__f785efd8c23734d3d8d3fca610e595f18"><b>mysql-connector-java-5.1.21.jar</b></span> package to <strong id="mrs_01_0407__b1469505513534">omm:wheel</strong>.</span></li><li id="mrs_01_0407__lb61ebc708555461fa5282e56bede0197"><span>Modify the <span class="filepath" id="mrs_01_0407__fcf51971dcfdc43c6906a62c49f933d93"><b>jdbc.properties</b></span> configuration file.</span><p><p id="mrs_01_0407__a05bd81df8f3b4e4298652748d709bce1">Change the key value of <span class="parmname" id="mrs_01_0407__pfbd0e747ef2d4125a6a801d876a93963"><b>MYSQL</b></span> to <span class="parmvalue" id="mrs_01_0407__p98adace1f0c046a5a43593e5ec0b9a10"><b>mysql-connector-java-5.1.21.jar</b></span>, for example, <strong id="mrs_01_0407__b1053217331811">MYSQL=mysql-connector-java-5.1.21.jar</strong>.</p>
+</p></li><li id="mrs_01_0407__l88b9006cc50f4961afde33214c615420"><span>Restart the Loader service.</span></li></ol>
+</div>
+<p id="mrs_01_0407__p1860915217404"><strong id="mrs_01_0407__b11858428185517">Procedure for MRS cluster 3.<em id="mrs_01_0407__i53901313321">x</em> and later versions:</strong></p>
+<p id="mrs_01_0407__p12359183673719">Modify the permission on the JAR package of the relational database driver.</p>
+<ol id="mrs_01_0407__ol78145323719"><li id="mrs_01_0407__li88195313712"><span>Log in to the active and standby management nodes of the Loader service, obtain the driver JAR package of the relational database, and save it to the following directory on the active and standby Loader nodes: <strong id="mrs_01_0407__b06889339551">${BIGDATA_HOME}/FusionInsight_Porter_<span id="mrs_01_0407__text368823318552">8.1.0.1</span>/install/FusionInsight-Sqoop-1.99.3/FusionInsight-Sqoop-1.99.3/server/webapps/loader/WEB-INF/ext-lib</strong></span><p><div class="note" id="mrs_01_0407__note101521423151413"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0407__p6153623131416"><span id="mrs_01_0407__text18547757143419">The version 8.1.0.1 is used as an example. Replace it with the actual version number.</span></p>
+</div></div>
+</p></li><li id="mrs_01_0407__li12416165711377"><span>Run the following commands as user <strong id="mrs_01_0407__b642418364556">root</strong> on the active and standby nodes of the Loader service to change the permission:</span><p><p id="mrs_01_0407__p12971729113419"><strong id="mrs_01_0407__b1272136113510">cd ${BIGDATA_HOME}/FusionInsight_Porter_<span id="mrs_01_0407__text11818114772317">8.1.0.1</span>/install/FusionInsight-Sqoop-1.99.3/FusionInsight-Sqoop-1.99.3/server/webapps/loader/WEB-INF/ext-lib</strong></p>
+<p id="mrs_01_0407__p17244143751310"><strong id="mrs_01_0407__b16595143815515">chown omm:wheel</strong> <em id="mrs_01_0407__i7595538115510">JAR</em><em id="mrs_01_0407__i4595153819554"> package name</em></p>
+<p id="mrs_01_0407__p524443712138"><strong id="mrs_01_0407__b57161745787">chmod 600</strong> <em id="mrs_01_0407__i13724184511816">JAR</em><em id="mrs_01_0407__i372694517817">package name</em></p>
+</p></li><li id="mrs_01_0407__li51201969387"><span>Log in to FusionInsight Manager. Choose <strong id="mrs_01_0407__b185589425555">Cluster</strong> and click the target cluster name. In the navigation pane on the left, choose <strong id="mrs_01_0407__b1655904217558">Services</strong> &gt; <strong id="mrs_01_0407__b145591242105512">Loader</strong>. In the upper right corner, choose <strong id="mrs_01_0407__b185591442205513">More</strong>, select <strong id="mrs_01_0407__b5559184245513">Restart Service</strong>, and enter the password of the administrator to restart the Loader service.</span></li></ol>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0400.html">Using Loader</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0408.html b/docs/mrs/component-operation-guide/mrs_01_0408.html
new file mode 100644
index 000000000..90b55b4b0
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0408.html
@@ -0,0 +1,29 @@
+<a name="mrs_01_0408"></a><a name="mrs_01_0408"></a>
+
+<h1 class="topictitle1">Example: Using Loader to Import Data from OBS to HDFS</h1>
+<div id="body1589421630819"><div class="section" id="mrs_01_0408__scb2c24634b0344dba198e390d6cea59e"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0408__a9b16a657788a4bd7987afc1d3a64231f">If you need to import a large volume of data from the external cluster to the internal cluster, import it from OBS to HDFS.</p>
+</div>
+<div class="section" id="mrs_01_0408__sb8fe6f0415124936bb9a7810db345b17"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_0408__u77b44b62f4094567bab90cb33acea37d"><li id="mrs_01_0408__l3da0b33cd6d647379b1ae998f71758af">You have prepared service data.</li><li id="mrs_01_0408__l8719dce3c103490ca6b2589ab48280fe">You have created an analysis cluster.</li></ul>
+</div>
+<div class="section" id="mrs_01_0408__s12aa651484ea43cd846dd6d94301117b"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0408__o7c344be096d34bc088536862a749ba75"><li id="mrs_01_0408__lca7b4202ba684befb04e8ce0b88c8e94"><span>Upload service data to your OBS file system.</span></li><li id="mrs_01_0408__l1f2a15abe5f0458091ec622d8621a9c8"><span>Obtain the AK/SK information and create an OBS and HDFS link.</span><p><p id="mrs_01_0408__adce6e642c8b748bebc2fb8711347521c">For details, see <a href="mrs_01_0402.html">Loader Link Configuration</a>.</p>
+</p></li><li id="mrs_01_0408__lb978fb6411794f79bba2776dab66b6b1"><span>Access the Loader page.</span><p><p id="mrs_01_0408__en-us_topic_0071084995_p953337610204">If Kerberos authentication is enabled in the analysis cluster, refer to instructions in <a href="mrs_01_0370.html">Accessing the Hue Web UI</a>.</p>
+</p></li><li id="mrs_01_0408__l60efd765e66043b39b26f9a4460f2b52"><span>Click <span class="uicontrol" id="mrs_01_0408__uicontrol1659698169164433"><b>New Job</b></span>.</span></li><li id="mrs_01_0408__lc59ee384b3eb475b9638244066f282ad"><span>In <span class="parmname" id="mrs_01_0408__parmname20402369152130"><b>Information</b></span>, set parameters.</span><p><ol type="a" id="mrs_01_0408__od37b4ecbc96e4477a63660d86353f041"><li id="mrs_01_0408__l7f72db27a5dd419a908118788798ac63">In <span class="parmname" id="mrs_01_0408__parmname51594321151140"><b>Name</b></span>, enter a job name. For example, <span class="parmvalue" id="mrs_01_0408__parmvalue63986881816464"><b>obs2hdfs</b></span>.</li><li id="mrs_01_0408__l315ed74593c7407084dd54a8b47ebbe4">In <span class="parmname" id="mrs_01_0408__parmname2095538803164619"><b>From link</b></span>, select the OBS link you create.</li><li id="mrs_01_0408__ldf73c237ef764a2193eee7a0cefca3e4">In <span class="parmname" id="mrs_01_0408__parmname5528201416472"><b>To link</b></span>, select the HDFS link you create.</li></ol>
+</p></li><li id="mrs_01_0408__lfc0f9b6e01894f928eb3cd1de00368d7"><span>In <span class="parmname" id="mrs_01_0408__parmname503727309164741"><b>From</b></span>, set source link parameters.</span><p><ol type="a" id="mrs_01_0408__o91654955aa5e4d90b6b43fc1e5e82377"><li id="mrs_01_0408__l400434a76922470797bc3532a47e4dc5">In <span class="parmname" id="mrs_01_0408__parmname101157131616561"><b>Bucket Name</b></span>, enter a name of the OBS file system.</li><li id="mrs_01_0408__l11d8e94881c6454bb7bb15206084c2b3">In <span class="parmname" id="mrs_01_0408__parmname829597205171631"><b>Input directory or file</b></span>, enter a detailed location of service data in the file system.<p id="mrs_01_0408__a0ab56965724e4f7bbe2f4bb6386f11e3">If it is a single file, enter a complete path containing the file name. If it is a directory, enter the complete path of the directory.</p>
+</li><li id="mrs_01_0408__ld408930f2f5d426289bd0acd45f8e485"><a name="mrs_01_0408__ld408930f2f5d426289bd0acd45f8e485"></a><a name="ld408930f2f5d426289bd0acd45f8e485"></a>In <span class="parmname" id="mrs_01_0408__parmname1652683619171836"><b>File format</b></span>, enter the type of the service data file.</li></ol>
+<p id="mrs_01_0408__a1e3cdc6fd6804cf5b1c9a5d4b46f0785">For details, see <a href="mrs_01_0404.html#mrs_01_0404__sdd455438f59c455d868736ad52d1097c">obs-connector</a>.</p>
+</p></li><li id="mrs_01_0408__l1e568724e0c5448fabe5ed665a4fa4f9"><span>In <span class="parmname" id="mrs_01_0408__parmname1184816220"><b>To</b></span>, set destination link parameters.</span><p><ol type="a" id="mrs_01_0408__o8312dce2b66d467b83be42187340cc3b"><li id="mrs_01_0408__leae0b854bf904fd1b153fd0af5aa9981">In <span class="parmname" id="mrs_01_0408__parmname160214853172029"><b>Output directory</b></span>, enter the directory for storing service data in HDFS.<p id="mrs_01_0408__en-us_topic_0071084995_p837884910308">If Kerberos authentication is enabled in the cluster, the current user accessing Loader needs to have the permission to write data to the directory.</p>
+</li><li id="mrs_01_0408__ld445f5283d544c5aba02bf95ac944f3b">In <span class="parmname" id="mrs_01_0408__parmname1112461615"><b>File format</b></span>, enter the type of the service data file.<p id="mrs_01_0408__a74dda2cba61e4d069f493335ec16621c">The type must correspond to the type in <a href="#mrs_01_0408__ld408930f2f5d426289bd0acd45f8e485">6.c</a>.</p>
+</li><li id="mrs_01_0408__lf74985ca92e248f79cddcbbd6856706b">In <span class="parmname" id="mrs_01_0408__parmname85920515717242"><b>Compression codec</b></span>, enter a compression algorithm. For example, if you do not compress data, select <span class="parmvalue" id="mrs_01_0408__parmvalue67655049017256"><b>NONE</b></span>.</li><li id="mrs_01_0408__lb725c3e1051c4647908b97e97353ab42">In <span class="parmname" id="mrs_01_0408__parmname1914292716172713"><b>Overwrite</b></span>, select <span class="parmvalue" id="mrs_01_0408__parmvalue1605762510172722"><b>True</b></span>.</li><li id="mrs_01_0408__lf1c1b54f8f134020a4c29ad0d85a4d23">Click <span class="uicontrol" id="mrs_01_0408__uicontrol1951153571172814"><b>Show Senior Parameter</b></span> and set <span class="parmname" id="mrs_01_0408__parmname1057159813172859"><b>Line Separator</b></span>.</li><li id="mrs_01_0408__l3803b4cd9de241658acf6f4d276cb9a1">Set <span class="parmname" id="mrs_01_0408__parmname122632060172950"><b>Field Separator</b></span>.</li></ol>
+<p id="mrs_01_0408__a4aacc8c4d8c5409796a436d4b86c9707">For details, see <a href="mrs_01_0405.html#mrs_01_0405__s0e7a49c2520c498aa9e3d9fa84325e2e">hdfs-connector</a>.</p>
+</p></li><li id="mrs_01_0408__l456b9bcbabf34860b89f476587cdf153"><span>In <span class="parmname" id="mrs_01_0408__parmname36974479154331"><b>Task Config</b></span>, set job running parameters.</span><p><ol type="a" id="mrs_01_0408__o3ee530c32e234b5d8ebeaa0561c8ef72"><li id="mrs_01_0408__ldbc98677173c4ef3afe4e696c3192a98">In <span class="parmname" id="mrs_01_0408__parmname1803883814173052"><b>Extractors</b></span>, enter the number of Map tasks.</li><li id="mrs_01_0408__l908bf3efd57b437b81f4d8781f3a69d0">In <span class="parmname" id="mrs_01_0408__parmname488126471173121"><b>Loaders</b></span>, enter the number of Reduce tasks.<p id="mrs_01_0408__a9becd3a73c5e44c49d16124bdf9ff49b">If the destination link is an HDFS link, <span class="parmname" id="mrs_01_0408__parmname8657182919211"><b>Loaders</b></span> is hidden.</p>
+</li><li id="mrs_01_0408__l3d43d564f0df4ea39f51a6d9af702d54">In <span class="parmname" id="mrs_01_0408__parmname257561912173150"><b>Max error records in single split</b></span>, enter an error record threshold.</li><li id="mrs_01_0408__ld565dd7961e3433d84db354f58a367ca">In <span class="parmname" id="mrs_01_0408__parmname317851576173326"><b>Dirty data directory</b></span>, enter a directory for saving dirty data, for example, <span class="filepath" id="mrs_01_0408__filepath17339314817342"><b>/user/sqoop/obs2hdfs-dd</b></span>.</li></ol>
+</p></li><li id="mrs_01_0408__lf6592a9edadb4327bd7bbb3450084c01"><span>Click <span class="uicontrol" id="mrs_01_0408__uicontrol1467444419173417"><b>Save and execute</b></span>.</span><p><p id="mrs_01_0408__ac1fb3ebd35f947cfba55e2066f6d64b8">On the <span class="parmname" id="mrs_01_0408__parmname127432635216572"><b>Manage jobs</b></span> page, view the job running result. You can click <span class="uicontrol" id="mrs_01_0408__uicontrol21689711104833"><b>Refresh</b></span> to obtain the latest job status.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0400.html">Using Loader</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0432.html b/docs/mrs/component-operation-guide/mrs_01_0432.html
new file mode 100644
index 000000000..ec6a764ad
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0432.html
@@ -0,0 +1,21 @@
+<a name="mrs_01_0432"></a><a name="mrs_01_0432"></a>
+
+
+  <h1 class="topictitle1">Using Presto</h1>
+
+  <div id="body1589421654459"><p id="mrs_01_0432__p8060118"></p>
+</div>
+
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_0433.html">Accessing the Presto Web UI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0434.html">Using a Client to Execute Query Statements</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0635.html">Using Presto to Dump Data in DLF</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0636.html">Configuring Presto Permissions</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0433.html b/docs/mrs/component-operation-guide/mrs_01_0433.html
new file mode 100644
index 000000000..9c9c98bb9
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0433.html
@@ -0,0 +1,24 @@
+<a name="mrs_01_0433"></a><a name="mrs_01_0433"></a>
+
+<h1 class="topictitle1">Accessing the Presto Web UI</h1>
+<div id="body1589421630823"><p id="mrs_01_0433__p1313321251414">You can view the Presto statistics on the graphical Presto web UI. You are advised to use Google Chrome to access the Presto web UI because it cannot be accessed using Internet Explorer.</p>
+<div class="section" id="mrs_01_0433__s5e180c6a1e264422a14ddfca7e340a74"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_0433__ul63451548911"><li id="mrs_01_0433__li234520415917">Presto has been installed in a cluster.</li><li id="mrs_01_0433__li1341869914">The cluster client has been installed, for example, in the <strong id="mrs_01_0433__b58497578816">/opt/client</strong> directory. The client directory in the following operations is only an example. Change it based on the actual installation directory onsite.</li></ul>
+</div>
+<div class="section" id="mrs_01_0433__section12106109117"><h4 class="sectiontitle">Accessing the Presto Web UI</h4><ul id="mrs_01_0433__ul918319563377"><li id="mrs_01_0433__li7183956173717">Method 1 (for MRS 3.<em id="mrs_01_0433__i71211529124819">x</em> or later)<ol id="mrs_01_0433__ol6901036113812"><li id="mrs_01_0433__li149016367389">Log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. Choose <strong id="mrs_01_0433__b20261786722827">Cluster</strong> &gt; <em id="mrs_01_0433__i138840549822827">Name of the target cluster</em> &gt; <strong id="mrs_01_0433__b162548492822827">Services</strong>.</li><li id="mrs_01_0433__li1386121614019">Select <strong id="mrs_01_0433__b113708301722827">Presto</strong>. In the <span class="parmname" id="mrs_01_0433__parmname205319032422827"><b>Basic Information</b></span> area, click <strong id="mrs_01_0433__b141518795822827">Coordinator(Coordinator)</strong> next to <strong id="mrs_01_0433__b181764834022827">Coordinator WebUI</strong>. The Coordinator web UI is displayed.</li></ol>
+</li><li id="mrs_01_0433__li1318335611377">Method 2 (for versions earlier than MRS 3.<em id="mrs_01_0433__i10375414105417">x</em>)<ol id="mrs_01_0433__ol46121834164113"><li id="mrs_01_0433__li261319341418">Log in to MRS Manager and choose <strong id="mrs_01_0433__b64691495122827">Services</strong>.</li><li id="mrs_01_0433__li461323419418">Select <strong id="mrs_01_0433__b71066122522827">Presto</strong>. In the <span class="parmname" id="mrs_01_0433__parmname16033973322827"><b>Presto Summary</b></span> area, click <strong id="mrs_01_0433__b146482963122827">Coordinator (Active)</strong> next to <strong id="mrs_01_0433__b89852100622827">Presto Web UI</strong>. The Presto web UI is displayed.<div class="p" id="mrs_01_0433__p9214145435"><div class="note" id="mrs_01_0433__note34488724310"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0433__p74486714318">When accessing the Presto web UI for the first time, you must add the address to the trusted site list.</p>
+</div></div>
+</div>
+</li></ol>
+</li><li id="mrs_01_0433__li8484164913416">Method 3 (for MRS 1.9.2 or later)<ol id="mrs_01_0433__ol1851944456"><li id="mrs_01_0433__li15544164513">Log in to the MRS console, click the target cluster name to go to the cluster details page, and click the <strong id="mrs_01_0433__b37671911222827">Components</strong> tab.<div class="note" id="mrs_01_0433__note19524236501"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0433__p158007468574">If the <strong id="mrs_01_0433__b19769183919310">Components</strong> tab is unavailable, complete IAM user synchronization first. (On the <strong id="mrs_01_0433__b127701339730">Dashboard</strong> page, click <strong id="mrs_01_0433__b19770139238">Synchronize</strong> on the right side of <span class="parmname" id="mrs_01_0433__parmname147701439935"><b>IAM User Sync</b></span> to synchronize IAM users.)</p>
+</div></div>
+</li><li id="mrs_01_0433__li14527254104818">Click <strong id="mrs_01_0433__b152773529222827">Presto</strong>. In the <span class="parmname" id="mrs_01_0433__parmname19308766322827"><b>Presto Summary</b></span> area, click <strong id="mrs_01_0433__b73628325122827">Coordinator (Active)</strong> next to <strong id="mrs_01_0433__b139140762422827">Presto Web UI</strong>. The Presto web UI is displayed.</li></ol>
+</li></ul>
+</div>
+<p id="mrs_01_0433__p8060118"></p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0432.html">Using Presto</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0434.html b/docs/mrs/component-operation-guide/mrs_01_0434.html
new file mode 100644
index 000000000..40e17aebc
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0434.html
@@ -0,0 +1,33 @@
+<a name="mrs_01_0434"></a><a name="mrs_01_0434"></a>
+
+<h1 class="topictitle1">Using a Client to Execute Query Statements</h1>
+<div id="body1589421630829"><p id="mrs_01_0434__p6585634151416">You can perform an interactive query on an MRS cluster client. For clusters with Kerberos authentication enabled, users who submit topologies must belong to the <span class="parmname" id="mrs_01_0434__parmname59119599201"><b>presto</b></span> group.</p>
+<p id="mrs_01_0434__p1937961181812">The Presto component of MRS 3.x does not support Kerberos authentication.</p>
+<div class="section" id="mrs_01_0434__s26390c77824e48628302cd27728a109b"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_0434__ul1921432134110"><li id="mrs_01_0434__li1092113326414">The password of user <span class="parmname" id="mrs_01_0434__p168d3b622bc6437291ffb132b663ee34"><b>admin</b></span> has been obtained. The password of user <span class="parmname" id="mrs_01_0434__p65ce8b7a377247cab40e868181d0cdf4"><b>admin</b></span> is specified by the user during MRS cluster creation.</li><li id="mrs_01_0434__li10921193294111">The client has been updated.</li><li id="mrs_01_0434__li137914414587">The Presto client has been manually installed for MRS 3.<em id="mrs_01_0434__i3673678154">x</em> clusters.</li></ul>
+</div>
+<div class="section" id="mrs_01_0434__section15757123718144"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0434__o1a1694aafb174694a4a0e67712a47f76"><li id="mrs_01_0434__li17987144152514"><a name="mrs_01_0434__li17987144152514"></a><a name="li17987144152514"></a><span>For clusters with Kerberos authentication enabled, log in to MRS Manager and create a role with the <strong id="mrs_01_0434__b17603701465">Hive Admin Privilege</strong> permission. For details about how to create a role, see <a href="https://docs.otc.t-systems.com/en-us/usermanual/mrs/mrs_01_0343.html" target="_blank" rel="noopener noreferrer">Creating a Role</a>.</span></li><li id="mrs_01_0434__li9368161132311"><a name="mrs_01_0434__li9368161132311"></a><a name="li9368161132311"></a><span>Create a user that belongs to the <strong id="mrs_01_0434__b39857295519">Presto</strong> and <strong id="mrs_01_0434__b1894515535515">Hive</strong> groups, bind the role created in <a href="#mrs_01_0434__li17987144152514">1</a> to the user, and download the user authentication file. For details, see <a href="https://docs.otc.t-systems.com/en-us/usermanual/mrs/mrs_01_0345.html" target="_blank" rel="noopener noreferrer">Creating a User</a> and <a href="https://docs.otc.t-systems.com/en-us/usermanual/mrs/mrs_01_0352.html" target="_blank" rel="noopener noreferrer">Downloading a User Authentication File</a>.</span></li><li id="mrs_01_0434__li861292619304"><a name="mrs_01_0434__li861292619304"></a><a name="li861292619304"></a><span>Upload the downloaded<strong id="mrs_01_0434__b73161897427"> user.keytab</strong> and <strong id="mrs_01_0434__b7416201854211">krb5.conf</strong> files to the node where the MRS client resides.</span><p><div class="note" id="mrs_01_0434__note18294255302"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0434__p53012543010">For clusters with Kerberos authentication enabled, <a href="#mrs_01_0434__li9368161132311">2</a> to <a href="#mrs_01_0434__li861292619304">3</a> must be performed. For normal clusters, start from <a href="#mrs_01_0434__l6bafa992ef354ebc8c1e16387160ae24">4</a>.</p>
+</div></div>
+</p></li><li id="mrs_01_0434__l6bafa992ef354ebc8c1e16387160ae24"><a name="mrs_01_0434__l6bafa992ef354ebc8c1e16387160ae24"></a><a name="l6bafa992ef354ebc8c1e16387160ae24"></a><span>Prepare a client based on service conditions and log in to the node where the client is installed.</span><p><p id="mrs_01_0434__adf68edafed604cd99d30695b463edfa5">For example, if you have updated the client on the Master2 node, log in to the Master2 node to use the client. For details, see <a href="https://docs.otc.t-systems.com/en-us/usermanual/mrs/mrs_01_0089.html" target="_blank" rel="noopener noreferrer">Updating a Client</a>.</p>
+</p></li><li id="mrs_01_0434__l6e2058aef79c4678a11786539c7d698c"><span>Run the following command to switch the user:</span><p><p id="mrs_01_0434__a1dc242a3b5a746b0b69163db94055771"><strong id="mrs_01_0434__en-us_topic_0057061151_b560210819742">sudo su - omm</strong></p>
+</p></li><li id="mrs_01_0434__ldc59b65d35af40029b69d717590c5ee1"><span>Run the following command to switch to the client directory, for example, <span class="filepath" id="mrs_01_0434__f15f7cd346f484cdf97ee97e2ebfe9077"><b>/opt/client</b></span>.</span><p><p id="mrs_01_0434__a5c7abf7d609e49daa21d689801c7665d"><strong id="mrs_01_0434__en-us_topic_0057061151_b539462609946">cd /opt/client</strong></p>
+</p></li><li id="mrs_01_0434__lb12ce87c6e7946bb9a848a19a34c9e35"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_0434__af0f6bc7c36064c379eed07a5509d2ba2"><strong id="mrs_01_0434__a867f14eb42d44d819707ead5ac2ca425">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_0434__li15202527183812"><a name="mrs_01_0434__li15202527183812"></a><a name="li15202527183812"></a><span>Connect to the Presto Server. The following provides two client connection methods based on the client type.</span><p><ul id="mrs_01_0434__ul72181133133817"><li id="mrs_01_0434__li0219533173819">Using the client provided by MRS<ul id="mrs_01_0434__ul83475453311"><li id="mrs_01_0434__li7347174173317">For clusters with Kerberos authentication disabled, run the following command to connect to the Presto Server of the cluster:<p id="mrs_01_0434__p14540123084015"><a name="mrs_01_0434__li7347174173317"></a><a name="li7347174173317"></a><strong id="mrs_01_0434__b1954513412348">presto_cli.sh</strong></p>
+</li><li id="mrs_01_0434__li1518713243314">For clusters with Kerberos authentication disabled, run the following command to connect to the Presto Server of other clusters. In the command, <strong id="mrs_01_0434__b112351799193">ip</strong> indicates the floating IP address of the cluster Presto Server, which can be obtained by searching for <strong id="mrs_01_0434__b15858141210264">PRESTO_COORDINATOR_FLOAT_IP</strong> in the Presto configuration items. <strong id="mrs_01_0434__b10746141412196">port</strong> indicates the Presto Server port number and is set to <strong id="mrs_01_0434__b184461636142617">7520</strong> by default.<p id="mrs_01_0434__p184411813113213"><strong id="mrs_01_0434__b1618725711326">presto_cli.sh --server <em id="mrs_01_0434__i484010479348">http://ip:port</em></strong></p>
+</li><li id="mrs_01_0434__li1769531083311">For clusters with Kerberos authentication enabled, run the following command to connect to the Presto Server of the cluster:<p id="mrs_01_0434__p1081253211408"><a name="mrs_01_0434__li1769531083311"></a><a name="li1769531083311"></a><strong id="mrs_01_0434__b71336640193445">presto_cli.sh --krb5-config-path <em id="mrs_01_0434__i63082883993445">krb5.conf file path</em> --krb5-principal <em id="mrs_01_0434__i181658847493445">User's principal</em> --krb5-keytab-path <em id="mrs_01_0434__i210189407193445">user.keytab file path</em> --user <em id="mrs_01_0434__i213195943693445">presto username</em></strong></p>
+</li><li id="mrs_01_0434__li14815173517">For clusters with Kerberos authentication enabled, run the following command to connect to the Presto Server of other clusters. In the command, <strong id="mrs_01_0434__b143014297271">ip</strong> indicates the floating IP address of the cluster Presto Server, which can be obtained by searching for <strong id="mrs_01_0434__b1430132914272">PRESTO_COORDINATOR_FLOAT_IP</strong> in the Presto configuration items. <strong id="mrs_01_0434__b173011129172715">port</strong> indicates the Presto Server port number and is set to <strong id="mrs_01_0434__b18302029172720">7521</strong> by default.<p id="mrs_01_0434__p1258220100367"><strong id="mrs_01_0434__b150211304377">presto_cli.sh --krb5-config-path <em id="mrs_01_0434__i767332523716">krb5.conf file path</em> --krb5-principal <em id="mrs_01_0434__i11673102593712">User's principal</em> --krb5-keytab-path <em id="mrs_01_0434__i1673162511371">user.keytab file path</em>  --server <em id="mrs_01_0434__i96738257370">https://ip:port</em> --krb5-remote-service-name <em id="mrs_01_0434__i176731725133718">Presto Server name</em></strong></p>
+</li></ul>
+</li><li id="mrs_01_0434__li10219143315382">Using the native client<p id="mrs_01_0434__p61779438385"><a name="mrs_01_0434__li10219143315382"></a><a name="li10219143315382"></a>The native client of Presto is <strong id="mrs_01_0434__b106201911616">Presto/presto/bin/presto</strong> in the client directory.</p>
+</li></ul>
+</p></li><li id="mrs_01_0434__li2161454193315"><span>Run a query statement, for example, <strong id="mrs_01_0434__b12391125213716">show catalogs</strong>.</span><p><div class="note" id="mrs_01_0434__note1831195174710"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0434__p18311557475">For clusters with Kerberos authentication enabled, when querying <strong id="mrs_01_0434__b1524236181812">Hive Catalog</strong> data, the user who runs the Presto client must have the permission to access Hive tables and run the<strong id="mrs_01_0434__b102221019181911"> grant all on table [table_name] to group hive</strong> command in Hive beeline to grant permissions to the Hive group.</p>
+</div></div>
+</p></li><li id="mrs_01_0434__lbe3cdaf67f5b4cf18419fbbdeb422302"><span>After the query is complete, run the following command to exit the client:</span><p><p id="mrs_01_0434__p42756155342"><strong id="mrs_01_0434__b75761313349">quit</strong></p>
+</p></li></ol>
+</div>
+<p id="mrs_01_0434__p8060118"></p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0432.html">Using Presto</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0435.html b/docs/mrs/component-operation-guide/mrs_01_0435.html
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+<a name="mrs_01_0435"></a><a name="mrs_01_0435"></a>
+
+<h1 class="topictitle1">Using KafkaManager</h1>
+<div id="body1589421630839"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_0436.html">Introduction to KafkaManager</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0437.html">Accessing the KafkaManager Web UI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0438.html">Managing Kafka Clusters</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0439.html">Kafka Cluster Monitoring Management</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0436.html b/docs/mrs/component-operation-guide/mrs_01_0436.html
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+<a name="mrs_01_0436"></a><a name="mrs_01_0436"></a>
+
+<h1 class="topictitle1">Introduction to KafkaManager</h1>
+<div id="body1589421630841"><p id="mrs_01_0436__p32282217410">KafkaManager is a tool for managing Apache Kafka and provides GUI-based metric monitoring and management of Kafka clusters. This section applies to MRS 1.9.2 clusters.</p>
+<p id="mrs_01_0436__p4344203519518">KafkaManager supports the following functions:</p>
+<ul id="mrs_01_0436__ul14756377517"><li id="mrs_01_0436__li57491364618">Manage multiple Kafka clusters.</li><li id="mrs_01_0436__li147514371511">Check cluster status (topics, consumers, offsets, partitions, replicas, and nodes)</li><li id="mrs_01_0436__li114908912611">Run preferred replica election.</li><li id="mrs_01_0436__li12528121518617">Generate partition assignments with option to select brokers to use.</li><li id="mrs_01_0436__li14528615460">Run reassignment of partitions (based on generated assignments).</li><li id="mrs_01_0436__li1352815155616">Create a topic with optional topic configurations (Multiple Kafka cluster versions are supported).</li><li id="mrs_01_0436__li752831515620">Delete a topic (only supported on 0.8.2+ and <strong id="mrs_01_0436__b1898184713017">delete.topic.enable = true</strong> is set in broker configuration).</li><li id="mrs_01_0436__li18528115767">Batch generate partition assignments for multiple topics with option to select brokers to use.</li><li id="mrs_01_0436__li3528015569">Batch run reassignment of partitions for multiple topics.</li><li id="mrs_01_0436__li1752919151619">Add partitions to an existing topic.</li><li id="mrs_01_0436__li175291915260">Update configurations for an existing topic.</li><li id="mrs_01_0436__li317719480913">Optionally enable JMX polling for broker-level and topic-level metrics.</li><li id="mrs_01_0436__li65291515863">Optionally filter out consumers that do not have ids/owner/&amp;offsets/directories in ZooKeeper.</li></ul>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0435.html">Using KafkaManager</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0437.html b/docs/mrs/component-operation-guide/mrs_01_0437.html
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+<a name="mrs_01_0437"></a><a name="mrs_01_0437"></a>
+
+<h1 class="topictitle1">Accessing the KafkaManager Web UI</h1>
+<div id="body1589421630844"><p id="mrs_01_0437__p14161101511016">You can monitor and manage Kafka clusters on the graphical KafkaManager web UI.</p>
+<p id="mrs_01_0437__p1798112191553">This section applies to MRS 1.9.2 clusters.</p>
+<div class="section" id="mrs_01_0437__section3181241161011"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_0437__ul0300111981113"><li id="mrs_01_0437__li254516208113">KafkaManager has been installed in a cluster.</li><li id="mrs_01_0437__li1030018199117">The password of user <strong id="mrs_01_0437__b59514491218">admin</strong> has been obtained. The password of user <strong id="mrs_01_0437__b1630513512121">admin</strong> is specified by the user during MRS cluster creation.</li></ul>
+</div>
+<div class="section" id="mrs_01_0437__section16790101115"><h4 class="sectiontitle">Accessing the KafkaManager Web UI</h4><ol id="mrs_01_0437__ol6186182718274"><li id="mrs_01_0437__li155891430132615"><span>Log in to <a href="mrs_01_2123.html">Accessing Manager</a> and select <strong id="mrs_01_0437__b195201371317">Services</strong>.</span></li><li id="mrs_01_0437__li6928163772717"><span>In the <strong id="mrs_01_0437__b5979935287125">KafkaManager Summary</strong> area, click any UI link in <span class="parmname" id="mrs_01_0437__parmname4579848132020"><b>KafkaManager WebUI</b></span> to access the KafkaManager web UI.</span><p><div class="p" id="mrs_01_0437__p8860194892913">You can view the following information on the KafkaManager web UI.<ul id="mrs_01_0437__ul38231513281"><li id="mrs_01_0437__li1982313112281">Kafka cluster list</li><li id="mrs_01_0437__li17823151132810">Broker node list and metric monitoring information of Kafka clusters</li><li id="mrs_01_0437__li178235122814">Kafka cluster replica monitoring information</li><li id="mrs_01_0437__li1382311132816">Kafka cluster consumer monitoring information</li></ul>
+<div class="note" id="mrs_01_0437__note07661145133510"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0437__p1776784513512">You can click the KafkaManager logo in the upper left corner on any sub-page of KafkaManager to return to the homepage of the KafkaManager web UI, where a cluster list is displayed.</p>
+</div></div>
+</div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0435.html">Using KafkaManager</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0438.html b/docs/mrs/component-operation-guide/mrs_01_0438.html
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+<a name="mrs_01_0438"></a><a name="mrs_01_0438"></a>
+
+<h1 class="topictitle1">Managing Kafka Clusters</h1>
+<div id="body1589421632408"><p id="mrs_01_0438__p18189278575">This section applies to MRS 1.9.2 clusters.</p>
+<p id="mrs_01_0438__p1110342519435">Kafka cluster management includes the following operations:</p>
+<ul id="mrs_01_0438__ul15880123524719"><li id="mrs_01_0438__li128801235174714"><a href="#mrs_01_0438__section8713185103014">Adding a Cluster on the KafkaManager Web UI</a></li><li id="mrs_01_0438__li68991950105419"><a href="#mrs_01_0438__section776745110472">Updating Cluster Parameters</a></li><li id="mrs_01_0438__li19499135335418"><a href="#mrs_01_0438__section656918369521">Deleting a Cluster on the KafkaManager Web UI</a></li></ul>
+<div class="section" id="mrs_01_0438__section8713185103014"><a name="mrs_01_0438__section8713185103014"></a><a name="section8713185103014"></a><h4 class="sectiontitle">Adding a Cluster on the KafkaManager Web UI</h4><p id="mrs_01_0438__p1063612923011">After a Kafka cluster is created for the first time, a default Kafka cluster named <strong id="mrs_01_0438__b188451048724">my-cluster</strong> is created on the KafkaManager web UI. You can also add Kafka clusters that have been created on the MRS management console on the KafkaManager web UI to manage multiple Kafka clusters.</p>
+<ol id="mrs_01_0438__ol1893163123612"><li id="mrs_01_0438__li1169092217820"><span>Log in to the KafkaManager web UI.</span></li><li id="mrs_01_0438__li962724713368"><span>In the upper part of the page, choose <span class="menucascade" id="mrs_01_0438__menucascade458111583219"><b><span class="uicontrol" id="mrs_01_0438__uicontrol85817581122">Cluster</span></b> &gt; <b><span class="uicontrol" id="mrs_01_0438__uicontrol25813581721">Add Cluster</span></b></span>.</span></li><li id="mrs_01_0438__li14803185563616"><span>Set the cluster parameters. For the following parameters, refer to their example values. Retain the default values for other parameters.</span><p>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0438__table19287112011164" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Cluster parameters to be modified</caption><thead align="left"><tr id="mrs_01_0438__row142881620161613"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.4.3.3.2.1.2.4.1.1"><p id="mrs_01_0438__p428832019167">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.4.3.3.2.1.2.4.1.2"><p id="mrs_01_0438__p1728811208167">Example Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.4.3.3.2.1.2.4.1.3"><p id="mrs_01_0438__p16288152012163">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0438__row1328842018161"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.3.2.1.2.4.1.1 "><p id="mrs_01_0438__p112881820151615">Cluster Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.3.2.1.2.4.1.2 "><p id="mrs_01_0438__p15288820191616">mrs-demo</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.3.2.1.2.4.1.3 "><p id="mrs_01_0438__p4288192015161">Name of the cluster to be added on the KafkaManager web UI</p>
+</td>
+</tr>
+<tr id="mrs_01_0438__row428816206164"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.3.2.1.2.4.1.1 "><p id="mrs_01_0438__p1528819204161">Cluster Zookeeper Hosts</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.3.2.1.2.4.1.2 "><p id="mrs_01_0438__p569618424174">zk1_ip:zk1_port, zk2_ip:zk2_port/kafka</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.3.2.1.2.4.1.3 "><p id="mrs_01_0438__p62881220171610">ZooKeeper address of the cluster to be added</p>
+</td>
+</tr>
+<tr id="mrs_01_0438__row192882020131615"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.3.2.1.2.4.1.1 "><p id="mrs_01_0438__p2288520111616">Kafka Version</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.3.2.1.2.4.1.2 "><p id="mrs_01_0438__p1128892081611">1.1.0</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.3.2.1.2.4.1.3 "><p id="mrs_01_0438__p072102521813">Kafka version of the cluster to be added. The default value is <strong id="mrs_01_0438__b83798271531">1.1.0</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_0438__row1225617469305"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.3.2.1.2.4.1.1 "><p id="mrs_01_0438__p102561146143014">Enable JMX Polling (Set JMX_PORT env variable before starting kafka server)</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.3.2.1.2.4.1.2 "><p id="mrs_01_0438__p0256546113015">Selected</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.3.2.1.2.4.1.3 "><p id="mrs_01_0438__p14256134613010">-</p>
+</td>
+</tr>
+<tr id="mrs_01_0438__row162881620111612"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.3.2.1.2.4.1.1 "><p id="mrs_01_0438__p034693182215">Poll consumer information (Not recommended for large # of consumers)</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.3.2.1.2.4.1.2 "><p id="mrs_01_0438__p144891512219">Selected</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.3.2.1.2.4.1.3 "><p id="mrs_01_0438__p19289720161616">-</p>
+</td>
+</tr>
+<tr id="mrs_01_0438__row228922016166"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.3.2.1.2.4.1.1 "><p id="mrs_01_0438__p634693202212">Enable Active OffsetCache (Not recommended for large # of consumers)</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.3.2.1.2.4.1.2 "><p id="mrs_01_0438__p1048715519225">Selected</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.3.2.1.2.4.1.3 "><p id="mrs_01_0438__p14289182017162">-</p>
+</td>
+</tr>
+<tr id="mrs_01_0438__row79341058112113"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.3.2.1.2.4.1.1 "><p id="mrs_01_0438__p14935115817216">Display Broker and Topic Size (only works after applying this patch)</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.3.2.1.2.4.1.2 "><p id="mrs_01_0438__p10935458102110">Selected</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.3.2.1.2.4.1.3 "><p id="mrs_01_0438__p1693585822118">-</p>
+</td>
+</tr>
+<tr id="mrs_01_0438__row201616212229"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.3.2.1.2.4.1.1 "><p id="mrs_01_0438__p10288182011169">Security Protocol</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.3.2.1.2.4.1.2 "><p id="mrs_01_0438__p162881620171616">PLAINTEXT</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.3.2.1.2.4.1.3 "><ul id="mrs_01_0438__ul1533223923116"><li id="mrs_01_0438__li1739154317314">For a Kafka cluster with Kerberos authentication enabled, select <strong id="mrs_01_0438__b1284354318">SASL_PLAINTEXT</strong>.</li><li id="mrs_01_0438__li1033219395312">For a Kafka cluster with Kerberos authentication disabled, select <strong id="mrs_01_0438__b816372418559">PLAINTEXT</strong>.</li></ul>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_0438__li28811786388"><span>Click <strong id="mrs_01_0438__b1717565512554">Save</strong>.</span></li></ol>
+<p id="mrs_01_0438__p9755346154718"></p>
+</div>
+<div class="section" id="mrs_01_0438__section776745110472"><a name="mrs_01_0438__section776745110472"></a><a name="section776745110472"></a><h4 class="sectiontitle">Updating Cluster Parameters</h4><ol id="mrs_01_0438__ol17616192355618"><li id="mrs_01_0438__li10931154515568"><span>Log in to the KafkaManager web UI.</span></li><li id="mrs_01_0438__li136168234563"><span>Click <strong id="mrs_01_0438__b8775122285611">Modify</strong> in the <strong id="mrs_01_0438__b739518259564">Operations</strong> column of the cluster.</span></li><li id="mrs_01_0438__li228653325918"><span>Go to the cluster configuration page and modify cluster parameters.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_0438__section656918369521"><a name="mrs_01_0438__section656918369521"></a><a name="section656918369521"></a><h4 class="sectiontitle">Deleting a Cluster on the KafkaManager Web UI</h4><ol id="mrs_01_0438__ol182160408014"><li id="mrs_01_0438__li14603592019"><span>Log in to the KafkaManager web UI.</span></li><li id="mrs_01_0438__li1495017490018"><span>Click <strong id="mrs_01_0438__b49211398413">Disable</strong> in the <strong id="mrs_01_0438__b1992616916420">Operations</strong> column of the cluster.</span></li><li id="mrs_01_0438__li12165402017"><span>When <strong id="mrs_01_0438__b111281918943">Delete</strong> or <strong id="mrs_01_0438__b81288180413">Enable</strong> is displayed in the <strong id="mrs_01_0438__b1812911185412">Operations</strong> column on the cluster list page, click <strong id="mrs_01_0438__b812921820419">Delete</strong> to delete the cluster. You can also click <strong id="mrs_01_0438__b1310111720311">Enable</strong> to enable the cluster.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0435.html">Using KafkaManager</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0439.html b/docs/mrs/component-operation-guide/mrs_01_0439.html
new file mode 100644
index 000000000..19dbdbc42
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0439.html
@@ -0,0 +1,34 @@
+<a name="mrs_01_0439"></a><a name="mrs_01_0439"></a>
+
+<h1 class="topictitle1">Kafka Cluster Monitoring Management</h1>
+<div id="body1589421635911"><p id="mrs_01_0439__p535918330573">This section applies to MRS 1.9.2 clusters.</p>
+<p id="mrs_01_0439__p1110342519435">The Kafka cluster monitoring management includes the following operations:</p>
+<ul id="mrs_01_0439__ul15880123524719"><li id="mrs_01_0439__li128801235174714"><a href="#mrs_01_0439__section1254019150558">Viewing Broker Information</a></li><li id="mrs_01_0439__li2048717184718"><a href="#mrs_01_0439__section2384151125912">Viewing Topic Information</a></li><li id="mrs_01_0439__li981732117718"><a href="#mrs_01_0439__section517576022">Viewing Consumers Information</a></li><li id="mrs_01_0439__li27461024278"><a href="#mrs_01_0439__section195268241735">Modifying the Partition of a Topic Through KafkaManager</a></li></ul>
+<div class="section" id="mrs_01_0439__section1254019150558"><a name="mrs_01_0439__section1254019150558"></a><a name="section1254019150558"></a><h4 class="sectiontitle">Viewing Broker Information</h4><ol id="mrs_01_0439__ol7926510195818"><li id="mrs_01_0439__li495091291614"><span>Log in to the KafkaManager web UI.</span></li><li id="mrs_01_0439__li19223528161"><span>On the cluster list page, click a cluster name to access the Summary page of the cluster.</span><p><div class="fignone" id="mrs_01_0439__fig51082016253"><span class="figcap"><b>Figure 1 </b>Summary page of a cluster</span><br><span><img id="mrs_01_0439__image6901653112418" src="en-us_image_0000001349090245.png"></span></div>
+</p></li><li id="mrs_01_0439__li2592154612586"><span>Click <strong id="mrs_01_0439__b96522203455">Brokers</strong> to access the Broker monitoring page. The page displays the Broker list and I/O statistics of the Broker nodes.</span><p><div class="fignone" id="mrs_01_0439__fig4283026133010"><span class="figcap"><b>Figure 2 </b>Broker monitoring page</span><br><span><img id="mrs_01_0439__image14671172010303" src="en-us_image_0000001295770612.png"></span></div>
+</p></li></ol>
+<p id="mrs_01_0439__p16809105513577"></p>
+</div>
+<div class="section" id="mrs_01_0439__section2384151125912"><a name="mrs_01_0439__section2384151125912"></a><a name="section2384151125912"></a><h4 class="sectiontitle">Viewing Topic Information</h4><ol id="mrs_01_0439__ol15763152145913"><li id="mrs_01_0439__li179318714337"><span>Log in to the KafkaManager web UI.</span></li><li id="mrs_01_0439__li1979419793310"><span>On the cluster list page, click a cluster name to access the <strong id="mrs_01_0439__b23871303511">Summary</strong> page of the cluster.</span></li><li id="mrs_01_0439__li14661195695910"><span>Choose <strong id="mrs_01_0439__b15202165915466">Topic</strong> &gt; <strong id="mrs_01_0439__b1195272104718">List</strong> to view the topic list of the current cluster and information about each topic.</span><p><div class="fignone" id="mrs_01_0439__fig820314249365"><span class="figcap"><b>Figure 3 </b>Topic list</span><br><span><img id="mrs_01_0439__image124894375920" src="en-us_image_0000001296250052.png"></span></div>
+</p></li><li id="mrs_01_0439__li10278142716590"><span>Click a topic name to view details about the topic.</span><p><div class="fignone" id="mrs_01_0439__fig597644733810"><span class="figcap"><b>Figure 4 </b>Topic details</span><br><span><img id="mrs_01_0439__image1710195615312" src="en-us_image_0000001296090400.png"></span></div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0439__section517576022"><a name="mrs_01_0439__section517576022"></a><a name="section517576022"></a><h4 class="sectiontitle">Viewing Consumers Information</h4><ol id="mrs_01_0439__ol36014301825"><li id="mrs_01_0439__li9871202918392"><span>Log in to the KafkaManager web UI.</span></li><li id="mrs_01_0439__li138711329143917"><span>On the cluster list page, click a cluster name to access the <strong id="mrs_01_0439__b683110573517">Summary</strong> page of the cluster.</span></li><li id="mrs_01_0439__li3366125994014"><span>Click <strong id="mrs_01_0439__b1051155919515">Consumers</strong> to view the consumers of the current cluster and each consumer's consumption information.</span><p><div class="fignone" id="mrs_01_0439__fig1875394394113"><span class="figcap"><b>Figure 5 </b>Consumers</span><br><span><img id="mrs_01_0439__image664724119219" src="en-us_image_0000001295930576.png"></span></div>
+</p></li><li id="mrs_01_0439__li178724410218"><span>Click a consumer name to view the list of the consumed topics.</span><p><div class="fignone" id="mrs_01_0439__fig197791150114411"><span class="figcap"><b>Figure 6 </b>List of topics consumed by the consumer</span><br><span><img id="mrs_01_0439__image128024465446" src="en-us_image_0000001348770433.png"></span></div>
+</p></li><li id="mrs_01_0439__li13645581223"><span>Click a topic name in the topic list of the consumer to view consumption information about the topic.</span><p><div class="fignone" id="mrs_01_0439__fig10399118144810"><span class="figcap"><b>Figure 7 </b>Topic consumption details</span><br><span><img id="mrs_01_0439__image5939356184715" src="en-us_image_0000001296090404.png"></span></div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0439__section195268241735"><a name="mrs_01_0439__section195268241735"></a><a name="section195268241735"></a><h4 class="sectiontitle">Modifying the Partition of a Topic Through KafkaManager</h4><ol id="mrs_01_0439__ol1374724115313"><li id="mrs_01_0439__li86041137144811"><span>Log in to the KafkaManager web UI.</span></li><li id="mrs_01_0439__li660553744817"><span>On the cluster list page, click a cluster name to access the <strong id="mrs_01_0439__b3856165113619">Summary</strong> page of the cluster.</span></li><li id="mrs_01_0439__li1456981211500"><span>Choose <strong id="mrs_01_0439__b195615416613">Topic </strong>&gt; <strong id="mrs_01_0439__b496115547614">List </strong>to access the topic list page of the current cluster.</span></li><li id="mrs_01_0439__li268441418014"><span>Click a topic name to access the <strong id="mrs_01_0439__b114281956767">Topic Summary</strong> page.</span></li><li id="mrs_01_0439__li37479411734"><span>Click <strong id="mrs_01_0439__b116796578614">Add Partitions</strong>. The page for adding partitions is displayed.</span><p><div class="fignone" id="mrs_01_0439__fig122581408519"><span class="figcap"><b>Figure 8 </b>Adding partitions</span><br><span><img id="mrs_01_0439__image12642538194510" src="en-us_image_0000001349090241.png"></span></div>
+</p></li><li id="mrs_01_0439__li67287591335"><span>Confirm the topic name and modify the value of the <span class="parmname" id="mrs_01_0439__parmname1757312811712"><b>Partitions</b></span> parameter and click <span class="parmvalue" id="mrs_01_0439__parmvalue11578148671"><b>Add Partitions</b></span> to add partitions.</span><p><div class="fignone" id="mrs_01_0439__fig15559240162512"><span class="figcap"><b>Figure 9 </b>Modifying the number of partitions</span><br><span><img id="mrs_01_0439__image1938613275421" src="en-us_image_0000001296250048.png"></span></div>
+</p></li><li id="mrs_01_0439__li16587143813254"><span>After the partitions are added successfully, click <span class="parmvalue" id="mrs_01_0439__parmvalue12593153817256"><b>Go to topic view</b></span> to return to the <strong id="mrs_01_0439__b16613313217">Topic Summary </strong>page.</span></li><li id="mrs_01_0439__li24991263166"><span>Check the number of partitions in <strong id="mrs_01_0439__b1986013241671">Partition Information</strong> in the lower part of the <strong id="mrs_01_0439__b1686519241872">Topic Summary</strong> page.</span><p><div class="fignone" id="mrs_01_0439__fig191755129282"><span class="figcap"><b>Figure 10 </b>Partition Information</span><br><span><img id="mrs_01_0439__image69702025155411" src="en-us_image_0000001349170145.png"></span></div>
+</p></li><li id="mrs_01_0439__li547995283112"><span>(Optional) If you are not satisfied with the assigned partitions, you can use the partition reassignment function to automatically reassign partitions.</span><p><ol type="a" id="mrs_01_0439__ol676595519310"><li id="mrs_01_0439__li5780239104720">On the <strong id="mrs_01_0439__b610015341374">Topic Summary</strong> page, click <span class="parmvalue" id="mrs_01_0439__parmvalue110513341273"><b>Generate Partition Assignments</b></span>.</li><li id="mrs_01_0439__li2189125912311">Select the broker instance and click <span class="parmvalue" id="mrs_01_0439__parmvalue1628913475483"><b>Generate Partition Assignments</b></span> to generate a partition.</li><li id="mrs_01_0439__li2373428174620">After partition generation, click <span class="parmvalue" id="mrs_01_0439__parmvalue134150381870"><b>Go to topic view</b></span> to return to the <strong id="mrs_01_0439__b642014381375">Topic Summary</strong> page.</li><li id="mrs_01_0439__li793013302515">On the<strong id="mrs_01_0439__b14231174314390"> Topic Summary </strong>page, click<strong id="mrs_01_0439__b1592512486392"> Reassign Partitions</strong> to automatically assign partitions to the broker instance of the cluster.</li><li id="mrs_01_0439__li45552033247">Click <span class="parmvalue" id="mrs_01_0439__parmvalue49970492712"><b>Go to reassign partitions</b></span> to view details about the reassigned partitions.</li></ol>
+</p></li><li id="mrs_01_0439__li3207945143217"><span>(Optional) If you are not satisfied with the automatically assigned partitions, you can manually assign the partitions.</span><p><ol type="a" id="mrs_01_0439__ol74044716326"><li id="mrs_01_0439__li1034185933217">On the <strong id="mrs_01_0439__b207681029114116">Topic Summary</strong> page, click <span class="parmvalue" id="mrs_01_0439__parmvalue1973518396539"><b>Manual Partition Assignments</b></span> to access the page for manually assign partitions.</li><li id="mrs_01_0439__li923013561416">Manually assign a broker ID to each partition replica, and click <span class="parmvalue" id="mrs_01_0439__parmvalue9279183445816"><b>Save Partition Assignment</b></span> to save the changes.</li><li id="mrs_01_0439__li1461294917581">Click <span class="parmvalue" id="mrs_01_0439__parmvalue135362885"><b>Go to topic view</b></span> to return to the <strong id="mrs_01_0439__b125911213814">Topic Summary</strong> page and view the partition details.</li></ol>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0435.html">Using KafkaManager</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0441.html b/docs/mrs/component-operation-guide/mrs_01_0441.html
new file mode 100644
index 000000000..189b9cd95
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0441.html
@@ -0,0 +1,274 @@
+<a name="mrs_01_0441"></a><a name="mrs_01_0441"></a>
+
+<h1 class="topictitle1">Synchronizing Binlog-based MySQL Data to the MRS Cluster</h1>
+<div id="body1589421630465"><p id="mrs_01_0441__p88981612131616">This section describes how to use the Maxwell data synchronization tool to migrate offline binlog-based data to an MRS Kafka cluster.</p>
+<p id="mrs_01_0441__p4320132817422">Maxwell is an open source application that reads MySQL binlogs, converts operations, such as addition, deletion, and modification, into a JSON format, and sends them to an output end, such as a console, a file, and Kafka. For details about Maxwell, visit <a href="https://maxwells-daemon.io" target="_blank" rel="noopener noreferrer">https://maxwells-daemon.io</a>. Maxwell can be deployed on a MySQL server or on other servers that can communicate with MySQL.</p>
+<p id="mrs_01_0441__p175435133716">Maxwell runs on a Linux server, including EulerOS, Ubuntu, Debian, CentOS, and OpenSUSE. Java 1.8+ must be supported.</p>
+<p id="mrs_01_0441__p477616042511">The following provides details about data synchronization.</p>
+<ol id="mrs_01_0441__ol1916419139261"><li id="mrs_01_0441__li171641413192619"><a href="#mrs_01_0441__section17682011252">Configuring MySQL</a></li><li id="mrs_01_0441__li14452317192615"><a href="#mrs_01_0441__section935158131710">Installing Maxwell</a></li><li id="mrs_01_0441__li19727105083513"><a href="#mrs_01_0441__section897274173612">Configuring Maxwell</a></li><li id="mrs_01_0441__li2097615493512"><a href="#mrs_01_0441__section182543817211">Starting Maxwell</a></li><li id="mrs_01_0441__li2013711313613"><a href="#mrs_01_0441__section191261916641">Verifying Maxwell</a></li><li id="mrs_01_0441__li195515203610"><a href="#mrs_01_0441__section07395261236">Stopping Maxwell</a></li><li id="mrs_01_0441__li594020743612"><a href="#mrs_01_0441__section3609745132419">Format of the Maxwell Generated Data and Description of Common Fields</a></li></ol>
+<div class="section" id="mrs_01_0441__section17682011252"><a name="mrs_01_0441__section17682011252"></a><a name="section17682011252"></a><h4 class="sectiontitle">Configuring MySQL</h4><ol id="mrs_01_0441__ol734963410257"><li id="mrs_01_0441__li173491934142511"><span>Start the binlog, open the <strong id="mrs_01_0441__b552314565292">my.cnf</strong> file in MySQL, and check whether <strong id="mrs_01_0441__b13998118133012">server_id</strong>, <strong id="mrs_01_0441__b157461128103018">log-bin</strong>, and <strong id="mrs_01_0441__b1396819328301">binlog_format</strong> are configured in the <strong id="mrs_01_0441__b1850611394303">[mysqld]</strong> block. If they are not configured, run the following command to add configuration items and restart MySQL. If they are configured, skip this step.</span><p><pre class="screen" id="mrs_01_0441__screen20330144611296">$ vi my.cnf
+
+[mysqld]
+server_id=1
+log-bin=master
+binlog_format=row</pre>
+</p></li><li id="mrs_01_0441__li101111736164511"><a name="mrs_01_0441__li101111736164511"></a><a name="li101111736164511"></a><span>Maxwell needs to connect to MySQL, create a database named <strong id="mrs_01_0441__b1641081214325">maxwell</strong> for storing metadata, and access the database to be synchronized. Therefore, you are advised to create a MySQL user for Maxwell to use. Log in to MySQL as user <strong id="mrs_01_0441__b131911529153515">root</strong> and run the following commands to create a user named <strong id="mrs_01_0441__b11233142034018">maxwell</strong> (<em id="mrs_01_0441__i219312916359">XXXXXX</em> indicates the password and needs to be replaced with actual one).</span><p><ul id="mrs_01_0441__ul722113920473"><li id="mrs_01_0441__li1222123913470">If Maxwell is deployed on a non-MySQL server, the created user <strong id="mrs_01_0441__b1298014875110">maxwell</strong> must have a permission to remotely log in to the database. In this case, run the following command to create the user:<p id="mrs_01_0441__p16203192720174"><b><span class="cmdname" id="mrs_01_0441__cmdname1432623820172">mysql&gt; GRANT ALL on maxwell.* to 'maxwell'@'%' identified by 'XXXXXX';</span></b></p>
+<p id="mrs_01_0441__p12203122717177"><b><span class="cmdname" id="mrs_01_0441__cmdname951018412170">mysql&gt; GRANT SELECT, REPLICATION CLIENT, REPLICATION SLAVE on *.* to 'maxwell'@'%';</span></b></p>
+</li><li id="mrs_01_0441__li14399226144811">If Maxwell is deployed on the MySQL server, the created user <strong id="mrs_01_0441__b112131755182520">maxwell</strong> can be configured to log in to the database only on the local host. In this case, run the following command:<p id="mrs_01_0441__p14421245181717"><b><span class="cmdname" id="mrs_01_0441__cmdname96734490175">mysql&gt; GRANT SELECT, REPLICATION CLIENT, REPLICATION SLAVE on *.* to 'maxwell'@'localhost' identified by 'XXXXXX';</span></b></p>
+<p id="mrs_01_0441__p164420459178"><b><span class="cmdname" id="mrs_01_0441__cmdname1615125331716">mysql&gt; GRANT ALL on maxwell.* to 'maxwell'@'localhost';</span></b></p>
+</li></ul>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0441__section935158131710"><a name="mrs_01_0441__section935158131710"></a><a name="section935158131710"></a><h4 class="sectiontitle">Installing Maxwell</h4><ol id="mrs_01_0441__ol870915192174"><li id="mrs_01_0441__li1770921910174"><span>Download the installation package at <a href="https://github.com/zendesk/maxwell/releases" target="_blank" rel="noopener noreferrer">https://github.com/zendesk/maxwell/releases</a> and select the <strong id="mrs_01_0441__b7399142712323">maxwell-XXX.tar.gz</strong> binary file for download. In the file name, <strong id="mrs_01_0441__b14736155433216">XXX</strong> indicates a version number.</span></li><li id="mrs_01_0441__li358210183114"><span>Upload the <strong id="mrs_01_0441__b1850252883316">tar.gz</strong> package to any directory (the <strong id="mrs_01_0441__b1275175963219">/opt</strong> directory of the Master node used as an example here).</span></li><li id="mrs_01_0441__li1884361593112"><span>Log in to the server where Maxwell is deployed and run the following command to go to the directory where the <strong id="mrs_01_0441__b1296478153712">tar.gz</strong> package is stored.</span><p><p id="mrs_01_0441__p9740201188"><b><span class="cmdname" id="mrs_01_0441__cmdname687664121817">cd /opt</span></b></p>
+</p></li><li id="mrs_01_0441__li10264030103119"><span>Run the following commands to decompress the <strong id="mrs_01_0441__b1513633418385">maxwell-XXX.tar.gz</strong> package and go to the <strong id="mrs_01_0441__b5179445123818">maxwell-XXX</strong> directory:</span><p><p id="mrs_01_0441__p12177610111812"><b><span class="cmdname" id="mrs_01_0441__cmdname1616541461815">tar -zxvf maxwell-XXX.tar.gz</span></b></p>
+<p id="mrs_01_0441__p161772010151816"><b><span class="cmdname" id="mrs_01_0441__cmdname644452081813">cd maxwell-XXX</span></b></p>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0441__section897274173612"><a name="mrs_01_0441__section897274173612"></a><a name="section897274173612"></a><h4 class="sectiontitle">Configuring Maxwell</h4><p id="mrs_01_0441__p13503852173814">If the <strong id="mrs_01_0441__b5761195020523">conf</strong> directory exists in the <strong id="mrs_01_0441__b0762950165215">maxwell-XXX</strong> folder, configure the <strong id="mrs_01_0441__b9762750175216">config.properties</strong> file. For details about the configuration items, see <a href="#mrs_01_0441__table49411722133920">Table 1</a>. If the <strong id="mrs_01_0441__b2019931261812">conf</strong> directory does not exist, change <strong id="mrs_01_0441__b169031248182">config.properties.example</strong> in the <strong id="mrs_01_0441__b1393911283183">maxwell-XXX</strong> folder to <strong id="mrs_01_0441__b489718353187">config.properties</strong>.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0441__table49411722133920"></a><a name="table49411722133920"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0441__table49411722133920" width="100%" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Maxwell configuration item description</caption><thead align="left"><tr id="mrs_01_0441__row16941172216396"><th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.8.3.2.5.1.1"><p id="mrs_01_0441__p594142213399">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="12.690000000000001%" id="mcps1.3.8.3.2.5.1.2"><p id="mrs_01_0441__p794111220399">Mandatory</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="47.31%" id="mcps1.3.8.3.2.5.1.3"><p id="mrs_01_0441__p1294111221394">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.8.3.2.5.1.4"><p id="mrs_01_0441__p99413224399">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0441__row494172283910"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.1 "><p id="mrs_01_0441__p1450445214116">user</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.690000000000001%" headers="mcps1.3.8.3.2.5.1.2 "><p id="mrs_01_0441__p85041352174117">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.31%" headers="mcps1.3.8.3.2.5.1.3 "><p id="mrs_01_0441__p1050445212418">Name of the user for connecting to MySQL, that is, the user created in <a href="#mrs_01_0441__li101111736164511">2</a>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.4 "><p id="mrs_01_0441__p1350445220417">-</p>
+</td>
+</tr>
+<tr id="mrs_01_0441__row1294110221394"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.1 "><p id="mrs_01_0441__p350435204117">password</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.690000000000001%" headers="mcps1.3.8.3.2.5.1.2 "><p id="mrs_01_0441__p145041652144110">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.31%" headers="mcps1.3.8.3.2.5.1.3 "><p id="mrs_01_0441__p95042052164118">Password for connecting to MySQL</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.4 "><p id="mrs_01_0441__p4504135217414">-</p>
+</td>
+</tr>
+<tr id="mrs_01_0441__row169411822143913"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.1 "><p id="mrs_01_0441__p165043525419">host</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.690000000000001%" headers="mcps1.3.8.3.2.5.1.2 "><p id="mrs_01_0441__p850419522412">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.31%" headers="mcps1.3.8.3.2.5.1.3 "><p id="mrs_01_0441__p3504105234114">MySQL address</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.4 "><p id="mrs_01_0441__p14504125213411">localhost</p>
+</td>
+</tr>
+<tr id="mrs_01_0441__row19941192211392"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.1 "><p id="mrs_01_0441__p1850555220417">port</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.690000000000001%" headers="mcps1.3.8.3.2.5.1.2 "><p id="mrs_01_0441__p65052524413">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.31%" headers="mcps1.3.8.3.2.5.1.3 "><p id="mrs_01_0441__p19505105244110">MySQL port</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.4 "><p id="mrs_01_0441__p250545244119">3306</p>
+</td>
+</tr>
+<tr id="mrs_01_0441__row179411322133910"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.1 "><p id="mrs_01_0441__p05050526411">log_level</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.690000000000001%" headers="mcps1.3.8.3.2.5.1.2 "><p id="mrs_01_0441__p1505115220418">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.31%" headers="mcps1.3.8.3.2.5.1.3 "><p id="mrs_01_0441__p1750513528414">Log print level. The options are as follows:</p>
+<ul id="mrs_01_0441__ul3178205310440"><li id="mrs_01_0441__li14200185716449">debug</li><li id="mrs_01_0441__li854520313454">info</li><li id="mrs_01_0441__li1340548164517">warn</li><li id="mrs_01_0441__li10178165320447">error</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.4 "><p id="mrs_01_0441__p125051452164117">info</p>
+</td>
+</tr>
+<tr id="mrs_01_0441__row209411222153919"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.1 "><p id="mrs_01_0441__p195050523413">output_ddl</p>
+<p id="mrs_01_0441__p1505852104115"></p>
+</td>
+<td class="cellrowborder" valign="top" width="12.690000000000001%" headers="mcps1.3.8.3.2.5.1.2 "><p id="mrs_01_0441__p250513523417">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.31%" headers="mcps1.3.8.3.2.5.1.3 "><p id="mrs_01_0441__p850535214111">Whether to send a DDL (modified based on definitions of the database and data table) event</p>
+<ul id="mrs_01_0441__ul25311317194514"><li id="mrs_01_0441__li13101142316457"><strong id="mrs_01_0441__b1556262915508">true</strong>: Send DDL events.</li><li id="mrs_01_0441__li105328171453"><strong id="mrs_01_0441__b2027593819507">false</strong>: Do not send DDL events.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.4 "><p id="mrs_01_0441__p7506115244113">false</p>
+</td>
+</tr>
+<tr id="mrs_01_0441__row19941522143912"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.1 "><p id="mrs_01_0441__p5506105212410">producer</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.690000000000001%" headers="mcps1.3.8.3.2.5.1.2 "><p id="mrs_01_0441__p1050615528414">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.31%" headers="mcps1.3.8.3.2.5.1.3 "><p id="mrs_01_0441__p45065521419">Producer type. Set this parameter to <strong id="mrs_01_0441__b3306395513">kafka</strong>.</p>
+<ul id="mrs_01_0441__ul18903443184517"><li id="mrs_01_0441__li1728184812452"><strong id="mrs_01_0441__b6871037165620">stdout</strong>: Log the generated events.</li><li id="mrs_01_0441__li2090344344519"><strong id="mrs_01_0441__b1412810611545">kafka</strong>: Send the generated events to Kafka.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.4 "><p id="mrs_01_0441__p15064523411">stdout</p>
+</td>
+</tr>
+<tr id="mrs_01_0441__row1913185319468"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.1 "><p id="mrs_01_0441__p213255324619">producer_partition_by</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.690000000000001%" headers="mcps1.3.8.3.2.5.1.2 "><p id="mrs_01_0441__p51323530466">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.31%" headers="mcps1.3.8.3.2.5.1.3 "><p id="mrs_01_0441__p13745572472">Partition policy used to ensure that data of the same type is written to the same partition of Kafka.</p>
+<ul id="mrs_01_0441__ul108581437155118"><li id="mrs_01_0441__li116519442513"><strong id="mrs_01_0441__b1694452155714">database</strong>: Events of the same database are written to the same partition of Kafka.</li><li id="mrs_01_0441__li1858837125114"><strong id="mrs_01_0441__b6224134018579">table</strong>: Events of the same table are written to the same partition of Kafka.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.4 "><p id="mrs_01_0441__p11374165714475">databa</p>
+</td>
+</tr>
+<tr id="mrs_01_0441__row0596105394618"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.1 "><p id="mrs_01_0441__p57665511487">ignore_producer_error</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.690000000000001%" headers="mcps1.3.8.3.2.5.1.2 "><p id="mrs_01_0441__p8766175174811">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.31%" headers="mcps1.3.8.3.2.5.1.3 "><p id="mrs_01_0441__p167666512489">Specifies whether to ignore the error that the producer fails to send data.</p>
+<ul id="mrs_01_0441__ul720014302521"><li id="mrs_01_0441__li467393735219"><strong id="mrs_01_0441__b1932510361583">true</strong>: The error information is logged and the error data is skipped. The program continues to run.</li><li id="mrs_01_0441__li4201133095214"><strong id="mrs_01_0441__b11385101295">false</strong>: The error information is logged and the program is terminated.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.4 "><p id="mrs_01_0441__p076717517482">true</p>
+</td>
+</tr>
+<tr id="mrs_01_0441__row845205464613"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.1 "><p id="mrs_01_0441__p1876795134818">metrics_slf4j_interval</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.690000000000001%" headers="mcps1.3.8.3.2.5.1.2 "><p id="mrs_01_0441__p14767165134817">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.31%" headers="mcps1.3.8.3.2.5.1.3 "><p id="mrs_01_0441__p1576775124819">Interval for outputting statistics on data successfully uploaded or failed to be uploaded to Kafka in logs. The unit is second.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.4 "><p id="mrs_01_0441__p167671255489">60</p>
+</td>
+</tr>
+<tr id="mrs_01_0441__row17348195410461"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.1 "><p id="mrs_01_0441__p91321216174816">kafka.bootstrap.servers</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.690000000000001%" headers="mcps1.3.8.3.2.5.1.2 "><p id="mrs_01_0441__p4132141612486">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.31%" headers="mcps1.3.8.3.2.5.1.3 "><p id="mrs_01_0441__p11132131684817">Address of the Kafka proxy node. The value is in the format of <strong id="mrs_01_0441__b1645619187206">HOST:PORT[,HOST:PORT]</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.4 "><p id="mrs_01_0441__p81321816134817">-</p>
+</td>
+</tr>
+<tr id="mrs_01_0441__row96461454154613"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.1 "><p id="mrs_01_0441__p81322016124817">kafka_topic</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.690000000000001%" headers="mcps1.3.8.3.2.5.1.2 "><p id="mrs_01_0441__p141322016204813">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.31%" headers="mcps1.3.8.3.2.5.1.3 "><p id="mrs_01_0441__p12132516204814">Name of the topic that is written to Kafka</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.4 "><p id="mrs_01_0441__p013221694818">maxwell</p>
+</td>
+</tr>
+<tr id="mrs_01_0441__row208796549468"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.1 "><p id="mrs_01_0441__p1132111611488">dead_letter_topic</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.690000000000001%" headers="mcps1.3.8.3.2.5.1.2 "><p id="mrs_01_0441__p413391613487">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.31%" headers="mcps1.3.8.3.2.5.1.3 "><p id="mrs_01_0441__p12133716154812">Kafka topic used to record the primary key of the error log record when an error occurs when the record is sent</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.4 "><p id="mrs_01_0441__p11333167481">-</p>
+</td>
+</tr>
+<tr id="mrs_01_0441__row819165584611"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.1 "><p id="mrs_01_0441__p113314161485">kafka_version</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.690000000000001%" headers="mcps1.3.8.3.2.5.1.2 "><p id="mrs_01_0441__p2013321684811">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.31%" headers="mcps1.3.8.3.2.5.1.3 "><p id="mrs_01_0441__p61331616174814">Kafka producer version used by Maxwell, which cannot be configured in the <strong id="mrs_01_0441__b1496723583312">config.properties</strong> file. You need to use the <strong id="mrs_01_0441__b15189833173618">-- kafka_version xxx</strong> parameter to import the version number when starting the command.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.4 "><p id="mrs_01_0441__p31339166482">-</p>
+</td>
+</tr>
+<tr id="mrs_01_0441__row2392155515467"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.1 "><p id="mrs_01_0441__p1213391644820">kafka_partition_hash</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.690000000000001%" headers="mcps1.3.8.3.2.5.1.2 "><p id="mrs_01_0441__p121331216204811">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.31%" headers="mcps1.3.8.3.2.5.1.3 "><p id="mrs_01_0441__p11133101614482">Kafka topic partitioning algorithm. The value can be <strong id="mrs_01_0441__b58201132194014">default</strong> or <strong id="mrs_01_0441__b8767154154011">murmur3</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.4 "><p id="mrs_01_0441__p41334168482">default</p>
+</td>
+</tr>
+<tr id="mrs_01_0441__row1374917557462"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.1 "><p id="mrs_01_0441__p10133131610482">kafka_key_format</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.690000000000001%" headers="mcps1.3.8.3.2.5.1.2 "><p id="mrs_01_0441__p2133516194814">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.31%" headers="mcps1.3.8.3.2.5.1.3 "><p id="mrs_01_0441__p2133161619482">Key generation method of the Kafka record. The value can be <strong id="mrs_01_0441__b14933795432">array</strong> or <strong id="mrs_01_0441__b115485139435">Hash</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.4 "><p id="mrs_01_0441__p11133716154811">Hash</p>
+</td>
+</tr>
+<tr id="mrs_01_0441__row1725595615462"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.1 "><p id="mrs_01_0441__p1133316124817">ddl_kafka_topic</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.690000000000001%" headers="mcps1.3.8.3.2.5.1.2 "><p id="mrs_01_0441__p14133141664817">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.31%" headers="mcps1.3.8.3.2.5.1.3 "><p id="mrs_01_0441__p6133171613483">Topic that is written to the DDL operation when <strong id="mrs_01_0441__b5435205816436">output_ddl</strong> is set to <strong id="mrs_01_0441__b177564115444">true</strong></p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.4 "><p id="mrs_01_0441__p013331624810">{kafka_topic}</p>
+</td>
+</tr>
+<tr id="mrs_01_0441__row12559125616463"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.1 "><p id="mrs_01_0441__p16493202424812">filter</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.690000000000001%" headers="mcps1.3.8.3.2.5.1.2 "><p id="mrs_01_0441__p8493924144814">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.31%" headers="mcps1.3.8.3.2.5.1.3 "><p id="mrs_01_0441__p349332464814">Used to filter databases or tables.</p>
+<ul id="mrs_01_0441__ul1439410583596"><li id="mrs_01_0441__li1611218511706">If only the <strong id="mrs_01_0441__b725516618451">mydatabase</strong> database needs to be collected, set this parameter to the following:<p id="mrs_01_0441__p15976175911016">exclude:   *.*,include: mydatabase.*</p>
+</li><li id="mrs_01_0441__li1810195419">If only the <strong id="mrs_01_0441__b2133152554510">mydatabase.mytable</strong> table needs to be collected, set this parameter to the following:<p id="mrs_01_0441__p76591078118">exclude:   *.*,include: mydatabase.mytable</p>
+</li><li id="mrs_01_0441__li142742142017">If only the <strong id="mrs_01_0441__b2096414014493">mytable</strong>, <strong id="mrs_01_0441__b4876106154919">mydate_123</strong>, and <strong id="mrs_01_0441__b626115122494">mydate_456</strong> tables in the <strong id="mrs_01_0441__b4271731134919">mydatabase</strong> database need to be collected, set this parameter to the following:<p id="mrs_01_0441__p112093169112">exclude: *.*,include: mydatabase.mytable, include: mydatabase./mydate_\\d*/</p>
+</li></ul>
+<p id="mrs_01_0441__p1949472434815"></p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.8.3.2.5.1.4 "><p id="mrs_01_0441__p5559356104618">-</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_0441__section182543817211"><a name="mrs_01_0441__section182543817211"></a><a name="section182543817211"></a><h4 class="sectiontitle">Starting Maxwell</h4><ol id="mrs_01_0441__ol17962162116216"><li id="mrs_01_0441__li11962152112216"><span>Log in to the server where Maxwell is deployed.</span></li><li id="mrs_01_0441__li9244241237"><span>Run the following command to go to the Maxwell installation directory:</span><p><p id="mrs_01_0441__p11995171014313"><b><span class="cmdname" id="mrs_01_0441__cmdname987817120171">cd /opt/maxwell-1.21.0/</span></b></p>
+<div class="note" id="mrs_01_0441__note84435247313"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0441__p77311130835">For the first time to use Maxwell, you are advised to change <strong id="mrs_01_0441__b18715134825314">log_level</strong> in <strong id="mrs_01_0441__b16716114885320">conf/config.properties</strong> to <strong id="mrs_01_0441__b1871714484536">debug</strong> (debug level) so that you can check whether data can be obtained from MySQL and sent to Kafka after startup. After the entire process is debugged, change <strong id="mrs_01_0441__b471712489533">log_level</strong> to <strong id="mrs_01_0441__b16718154835318">info</strong>, and then restart Maxwell for the modification to take effect.</p>
+<p id="mrs_01_0441__p973218301536"># log level [debug | info | warn | error]</p>
+<p id="mrs_01_0441__p1873218301136">log_level=debug</p>
+</div></div>
+</p></li><li id="mrs_01_0441__li115142462310"><span>Run the following commands to start Maxwell:</span><p><p id="mrs_01_0441__p77212531317"><strong id="mrs_01_0441__b028144753919">source /opt/client/bigdata_env</strong></p>
+<p id="mrs_01_0441__p67217533313"><b><span class="cmdname" id="mrs_01_0441__cmdname241531451914">bin/Maxwell</span></b></p>
+<p id="mrs_01_0441__p1672175310314"><b><span class="cmdname" id="mrs_01_0441__cmdname186268589226">bin/maxwell --user='maxwell' --password='XXXXXX' --host='127.0.0.1' \</span></b></p>
+<p id="mrs_01_0441__p1472110531334"><b><span class="cmdname" id="mrs_01_0441__cmdname39201128237">--producer=kafka --kafka.bootstrap.servers=kafkahost:9092 --kafka_topic=Maxwell</span></b></p>
+<p id="mrs_01_0441__p572115319315">In the preceding commands, <strong id="mrs_01_0441__b918213252561">user</strong>, <strong id="mrs_01_0441__b22736276562">password</strong>, and <strong id="mrs_01_0441__b129971231175613">host</strong> indicate the username, password, and IP address of MySQL, respectively. You can configure the three parameters by modifying configurations of the configuration items or using the preceding commands. <strong id="mrs_01_0441__b1384524914411">kafkahost</strong> indicates the IP address of the Core node in the streaming cluster.</p>
+<p id="mrs_01_0441__p27211753233">If information similar to the following appears, Maxwell has started successfully:</p>
+<pre class="screen" id="mrs_01_0441__screen2298717206">Success to start Maxwell [78092].</pre>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0441__section191261916641"><a name="mrs_01_0441__section191261916641"></a><a name="section191261916641"></a><h4 class="sectiontitle">Verifying Maxwell</h4><ol id="mrs_01_0441__ol113488313413"><li id="mrs_01_0441__li334883115418"><span>Log in to the server where Maxwell is deployed.</span></li><li id="mrs_01_0441__li1129111441543"><span>View the logs. If the log file does not contain an ERROR log and the following information is displayed, the connection between Maxwell and MySQL is normal:</span><p><pre class="screen" id="mrs_01_0441__screen8939151065">BinlogConnectorLifecycleListener - Binlog connected.</pre>
+</p></li><li id="mrs_01_0441__li19012541645"><span>Log in to the MySQL database and update, create, or delete test data. The following provides operation statement examples for your reference. </span><p><pre class="screen" id="mrs_01_0441__screen58251981452">--Creating a database
+create database test;
+--Creating a table
+create table test.e (
+  id int(10) not null primary key auto_increment,
+  m double,
+  c timestamp(6),
+  comment varchar(255) charset 'latin1'
+);
+-- Adding a record
+insert into test.e set m = 4.2341, c = now(3), comment = 'I am a creature of light.';
+--Updating a record
+update test.e set m = 5.444, c = now(3) where id = 1;
+--Deleting a record
+delete from test.e where id = 1;
+--Modifying a table
+alter table test.e add column torvalds bigint unsigned after m;
+--Deleting a table
+drop table test.e;
+-- Deleting a database
+drop database test;</pre>
+</p></li><li id="mrs_01_0441__li1893172011203"><span>Check the Maxwell logs. If no WARN/ERROR is displayed, Maxwell is installed and configured properly.</span><p><div class="p" id="mrs_01_0441__p1462293414273">To check whether the data is successfully uploaded, set <strong id="mrs_01_0441__b1488161253411">log_level</strong> in the <strong id="mrs_01_0441__b1289201219343">config.properties</strong> file to <strong id="mrs_01_0441__b590171219342">debug</strong>. When the data is successfully uploaded, the following JSON data is printed immediately. For details about the fields, see <a href="#mrs_01_0441__section3609745132419">Format of the Maxwell Generated Data and Description of Common Fields</a>.<pre class="screen" id="mrs_01_0441__screen25291389112">{"database":"test","table":"e","type":"insert","ts":1541150929,"xid":60556,"commit":true,"data":{"id":1,"m":4.2341,"c":"2018-11-02 09:28:49.297000","comment":"I am a creature of light."}}
+......</pre>
+<div class="note" id="mrs_01_0441__note155971031152012"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0441__p15597173112011">After the entire process is debugged, you can change the value of <strong id="mrs_01_0441__b1355975973118">log_level</strong> in the <strong id="mrs_01_0441__b116168205323">config.properties</strong> file to <strong id="mrs_01_0441__b165605592312">info</strong> to reduce the number of logs to be printed and restart Maxwell for the modification to take effect.</p>
+<pre class="screen" id="mrs_01_0441__screen1059717311202"># log level [debug | info | warn | error]
+log_level=info</pre>
+</div></div>
+</div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0441__section07395261236"><a name="mrs_01_0441__section07395261236"></a><a name="section07395261236"></a><h4 class="sectiontitle">Stopping Maxwell</h4><ol id="mrs_01_0441__ol3769184072317"><li id="mrs_01_0441__li12767114132320"><span>Log in to the server where Maxwell is deployed.</span></li><li id="mrs_01_0441__li117671241192319"><span>Run the command to obtain the Maxwell process ID (PID). The second field in the command output is PID.</span><p><p id="mrs_01_0441__p99222722412"><b><span class="cmdname" id="mrs_01_0441__cmdname633651414241">ps -ef | grep Maxwell | grep -v grep</span></b></p>
+</p></li><li id="mrs_01_0441__li2767174122311"><span>Run the following command to forcibly stop the Maxwell process:</span><p><p id="mrs_01_0441__p1463523662419"><b><span class="cmdname" id="mrs_01_0441__cmdname7260174015245">kill -9 PID</span></b></p>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0441__section3609745132419"><a name="mrs_01_0441__section3609745132419"></a><a name="section3609745132419"></a><h4 class="sectiontitle">Format of the Maxwell Generated Data and Description of Common Fields</h4><p id="mrs_01_0441__p773431082514">The data generated by Maxwell is in JSON format. The common fields are described as follows:</p>
+<ul id="mrs_01_0441__ul7759743142511"><li id="mrs_01_0441__li1153915481254"><strong id="mrs_01_0441__b1328243343710">type</strong>: operation type. The options are <strong id="mrs_01_0441__b4587953133712">database-create</strong>, <strong id="mrs_01_0441__b111081457113711">database-drop</strong>, <strong id="mrs_01_0441__b1273313218381">table-create</strong>, <strong id="mrs_01_0441__b154568718388">table-drop</strong>, <strong id="mrs_01_0441__b996851033812">table-alter</strong>, <strong id="mrs_01_0441__b684181493814">insert</strong>, <strong id="mrs_01_0441__b61971175388">update</strong>, and <strong id="mrs_01_0441__b1061021953811">delete</strong>.</li><li id="mrs_01_0441__li182201352192510"><strong id="mrs_01_0441__b134961727123813">database</strong>: name of the database to be operated</li><li id="mrs_01_0441__li452111557253"><strong id="mrs_01_0441__b1339126103918">ts</strong>: operation time, which is a 13-digit timestamp</li><li id="mrs_01_0441__li193378582254"><strong id="mrs_01_0441__b6297940183910">table</strong>: name of the table to be operated</li><li id="mrs_01_0441__li31914112269"><strong id="mrs_01_0441__b58435465397">data</strong>: content after data is added, deleted, or modified</li><li id="mrs_01_0441__li12405146265"><strong id="mrs_01_0441__b14332195753919">old</strong>: content before data is modified or schema definition before a table is modified</li><li id="mrs_01_0441__li1924116192619"><strong id="mrs_01_0441__b1991810164402">sql</strong>: SQL statement for DDL operations</li><li id="mrs_01_0441__li142414159268"><strong id="mrs_01_0441__b11492128134012">def</strong>: schema definition for table creation and modification</li><li id="mrs_01_0441__li165510183261"><strong id="mrs_01_0441__b1363831524115">xid</strong>: unique ID of an object</li><li id="mrs_01_0441__li14759134310252"><strong id="mrs_01_0441__b3806112784119">commit</strong>: check whether such operations as data addition, deletion, and modification have been submitted.</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0375.html">Using Kafka</a></div>
+</div>
+</div>
+
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@@ -0,0 +1,216 @@
+<a name="mrs_01_0442"></a><a name="mrs_01_0442"></a>
+
+<h1 class="topictitle1">Using Hive from Scratch</h1>
+<div id="body1589421621794"><p id="mrs_01_0442__p117571659182510">Hive is a data warehouse framework built on Hadoop. It maps structured data files to a database table and provides SQL-like functions to analyze and process data. It also allows you to quickly perform simple MapReduce statistics using SQL-like statements without the need of developing a specific MapReduce application. It is suitable for statistical analysis of data warehouses.</p>
+<div class="section" id="mrs_01_0442__section316983143915"><h4 class="sectiontitle">Background</h4><p id="mrs_01_0442__aa6bb651d9fdc48249b2e258e8dd36987">Suppose a user develops an application to manage users who use service A in an enterprise. The procedure of operating service A on the Hive client is as follows: </p>
+<p id="mrs_01_0442__p1571519492538"><strong id="mrs_01_0442__b1113472918172">Operations on common tables</strong>:</p>
+<ul id="mrs_01_0442__ufb6be56b34b24b42b414a82f147e9483"><li id="mrs_01_0442__le7f87bd280e6448fb638db9a748aefdf">Create the <strong id="mrs_01_0442__b1433713308170">user_info</strong> table.</li><li id="mrs_01_0442__lee40db3e7049462584b60ba65919ab05">Add users' educational backgrounds and professional titles to the table.</li><li id="mrs_01_0442__l4f59951cb9de4db4a0920a457495ebba">Query user names and addresses by user ID. </li><li id="mrs_01_0442__l0caa82526a5a4227909b3c75691ae936">Delete the user information table after service A ends. </li></ul>
+
+<div class="tablenoborder"><a name="mrs_01_0442__en-us_topic_0037446806_table27353390"></a><a name="en-us_topic_0037446806_table27353390"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0442__en-us_topic_0037446806_table27353390" frame="border" border="1" rules="all"><caption><b>Table 1 </b>User information</caption><thead align="left"><tr id="mrs_01_0442__en-us_topic_0037446806_row32789387"><th align="left" class="cellrowborder" valign="top" width="19.998000199980005%" id="mcps1.3.2.5.2.6.1.1"><p id="mrs_01_0442__en-us_topic_0037446806_p38694667"><strong id="mrs_01_0442__b1249433513170">ID</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.678432156784321%" id="mcps1.3.2.5.2.6.1.2"><p id="mrs_01_0442__en-us_topic_0037446806_p22689808"><strong id="mrs_01_0442__b1048316383176">Name</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="17.558244175582445%" id="mcps1.3.2.5.2.6.1.3"><p id="mrs_01_0442__en-us_topic_0037446806_p32089967"><strong id="mrs_01_0442__b73261939111719">Gender</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.2984701529847%" id="mcps1.3.2.5.2.6.1.4"><p id="mrs_01_0442__en-us_topic_0037446806_p39701876"><strong id="mrs_01_0442__b157564402174">Age</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="31.46685331466853%" id="mcps1.3.2.5.2.6.1.5"><p id="mrs_01_0442__en-us_topic_0037446806_p18747312"><strong id="mrs_01_0442__b205791941161712">Address</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0442__en-us_topic_0037446806_row43691456"><td class="cellrowborder" valign="top" width="19.998000199980005%" headers="mcps1.3.2.5.2.6.1.1 "><p id="mrs_01_0442__en-us_topic_0037446806_p49347015">12005000201</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.678432156784321%" headers="mcps1.3.2.5.2.6.1.2 "><p id="mrs_01_0442__en-us_topic_0037446806_p37685299">A</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.558244175582445%" headers="mcps1.3.2.5.2.6.1.3 "><p id="mrs_01_0442__en-us_topic_0037446806_p32610412">Male</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.2984701529847%" headers="mcps1.3.2.5.2.6.1.4 "><p id="mrs_01_0442__en-us_topic_0037446806_p24197721">19</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.46685331466853%" headers="mcps1.3.2.5.2.6.1.5 "><p id="mrs_01_0442__en-us_topic_0037446806_p13858403">City A</p>
+</td>
+</tr>
+<tr id="mrs_01_0442__en-us_topic_0037446806_row57616766"><td class="cellrowborder" valign="top" width="19.998000199980005%" headers="mcps1.3.2.5.2.6.1.1 "><p id="mrs_01_0442__en-us_topic_0037446806_p36446461">12005000202</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.678432156784321%" headers="mcps1.3.2.5.2.6.1.2 "><p id="mrs_01_0442__en-us_topic_0037446806_p66482253">B</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.558244175582445%" headers="mcps1.3.2.5.2.6.1.3 "><p id="mrs_01_0442__en-us_topic_0037446806_p16353430">Female</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.2984701529847%" headers="mcps1.3.2.5.2.6.1.4 "><p id="mrs_01_0442__en-us_topic_0037446806_p49559423">23</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.46685331466853%" headers="mcps1.3.2.5.2.6.1.5 "><p id="mrs_01_0442__en-us_topic_0037446806_p54890288">City B</p>
+</td>
+</tr>
+<tr id="mrs_01_0442__en-us_topic_0037446806_row24250547"><td class="cellrowborder" valign="top" width="19.998000199980005%" headers="mcps1.3.2.5.2.6.1.1 "><p id="mrs_01_0442__en-us_topic_0037446806_p18137316">12005000203</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.678432156784321%" headers="mcps1.3.2.5.2.6.1.2 "><p id="mrs_01_0442__en-us_topic_0037446806_p59836530">C</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.558244175582445%" headers="mcps1.3.2.5.2.6.1.3 "><p id="mrs_01_0442__en-us_topic_0037446806_p14920772">Male</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.2984701529847%" headers="mcps1.3.2.5.2.6.1.4 "><p id="mrs_01_0442__en-us_topic_0037446806_p623043">26</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.46685331466853%" headers="mcps1.3.2.5.2.6.1.5 "><p id="mrs_01_0442__en-us_topic_0037446806_p50466518">City C</p>
+</td>
+</tr>
+<tr id="mrs_01_0442__en-us_topic_0037446806_row51545483"><td class="cellrowborder" valign="top" width="19.998000199980005%" headers="mcps1.3.2.5.2.6.1.1 "><p id="mrs_01_0442__en-us_topic_0037446806_p14434584">12005000204</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.678432156784321%" headers="mcps1.3.2.5.2.6.1.2 "><p id="mrs_01_0442__en-us_topic_0037446806_p28350637">D</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.558244175582445%" headers="mcps1.3.2.5.2.6.1.3 "><p id="mrs_01_0442__en-us_topic_0037446806_p14700275">Male</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.2984701529847%" headers="mcps1.3.2.5.2.6.1.4 "><p id="mrs_01_0442__en-us_topic_0037446806_p49871633">18</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.46685331466853%" headers="mcps1.3.2.5.2.6.1.5 "><p id="mrs_01_0442__en-us_topic_0037446806_p13070512">City D</p>
+</td>
+</tr>
+<tr id="mrs_01_0442__en-us_topic_0037446806_row50525752"><td class="cellrowborder" valign="top" width="19.998000199980005%" headers="mcps1.3.2.5.2.6.1.1 "><p id="mrs_01_0442__en-us_topic_0037446806_p66054074">12005000205</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.678432156784321%" headers="mcps1.3.2.5.2.6.1.2 "><p id="mrs_01_0442__en-us_topic_0037446806_p48779793">E</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.558244175582445%" headers="mcps1.3.2.5.2.6.1.3 "><p id="mrs_01_0442__en-us_topic_0037446806_p58849189">Female</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.2984701529847%" headers="mcps1.3.2.5.2.6.1.4 "><p id="mrs_01_0442__en-us_topic_0037446806_p2055005">21</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.46685331466853%" headers="mcps1.3.2.5.2.6.1.5 "><p id="mrs_01_0442__en-us_topic_0037446806_p32237730">City E</p>
+</td>
+</tr>
+<tr id="mrs_01_0442__en-us_topic_0037446806_row21704116"><td class="cellrowborder" valign="top" width="19.998000199980005%" headers="mcps1.3.2.5.2.6.1.1 "><p id="mrs_01_0442__en-us_topic_0037446806_p13202999">12005000206</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.678432156784321%" headers="mcps1.3.2.5.2.6.1.2 "><p id="mrs_01_0442__en-us_topic_0037446806_p62809978">F</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.558244175582445%" headers="mcps1.3.2.5.2.6.1.3 "><p id="mrs_01_0442__en-us_topic_0037446806_p54443429">Male</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.2984701529847%" headers="mcps1.3.2.5.2.6.1.4 "><p id="mrs_01_0442__en-us_topic_0037446806_p47841633">32</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.46685331466853%" headers="mcps1.3.2.5.2.6.1.5 "><p id="mrs_01_0442__en-us_topic_0037446806_p49967061">City F</p>
+</td>
+</tr>
+<tr id="mrs_01_0442__en-us_topic_0037446806_row47050372"><td class="cellrowborder" valign="top" width="19.998000199980005%" headers="mcps1.3.2.5.2.6.1.1 "><p id="mrs_01_0442__en-us_topic_0037446806_p52983808">12005000207</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.678432156784321%" headers="mcps1.3.2.5.2.6.1.2 "><p id="mrs_01_0442__en-us_topic_0037446806_p63830089">G</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.558244175582445%" headers="mcps1.3.2.5.2.6.1.3 "><p id="mrs_01_0442__en-us_topic_0037446806_p2854726">Female</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.2984701529847%" headers="mcps1.3.2.5.2.6.1.4 "><p id="mrs_01_0442__en-us_topic_0037446806_p29906272">29</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.46685331466853%" headers="mcps1.3.2.5.2.6.1.5 "><p id="mrs_01_0442__en-us_topic_0037446806_p6488958">City G</p>
+</td>
+</tr>
+<tr id="mrs_01_0442__en-us_topic_0037446806_row58400626"><td class="cellrowborder" valign="top" width="19.998000199980005%" headers="mcps1.3.2.5.2.6.1.1 "><p id="mrs_01_0442__en-us_topic_0037446806_p32830290">12005000208</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.678432156784321%" headers="mcps1.3.2.5.2.6.1.2 "><p id="mrs_01_0442__en-us_topic_0037446806_p42007851">H</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.558244175582445%" headers="mcps1.3.2.5.2.6.1.3 "><p id="mrs_01_0442__en-us_topic_0037446806_p47192740">Female</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.2984701529847%" headers="mcps1.3.2.5.2.6.1.4 "><p id="mrs_01_0442__en-us_topic_0037446806_p64515557">30</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.46685331466853%" headers="mcps1.3.2.5.2.6.1.5 "><p id="mrs_01_0442__en-us_topic_0037446806_p58377623">City H</p>
+</td>
+</tr>
+<tr id="mrs_01_0442__en-us_topic_0037446806_row55636561"><td class="cellrowborder" valign="top" width="19.998000199980005%" headers="mcps1.3.2.5.2.6.1.1 "><p id="mrs_01_0442__en-us_topic_0037446806_p10267631">12005000209</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.678432156784321%" headers="mcps1.3.2.5.2.6.1.2 "><p id="mrs_01_0442__en-us_topic_0037446806_p26371793">I</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.558244175582445%" headers="mcps1.3.2.5.2.6.1.3 "><p id="mrs_01_0442__en-us_topic_0037446806_p55740512">Male</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.2984701529847%" headers="mcps1.3.2.5.2.6.1.4 "><p id="mrs_01_0442__en-us_topic_0037446806_p18687619">26</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.46685331466853%" headers="mcps1.3.2.5.2.6.1.5 "><p id="mrs_01_0442__en-us_topic_0037446806_p37302179">City I</p>
+</td>
+</tr>
+<tr id="mrs_01_0442__en-us_topic_0037446806_row175293"><td class="cellrowborder" valign="top" width="19.998000199980005%" headers="mcps1.3.2.5.2.6.1.1 "><p id="mrs_01_0442__p20275141018126">12005000210</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.678432156784321%" headers="mcps1.3.2.5.2.6.1.2 "><p id="mrs_01_0442__p7273191071210">J</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.558244175582445%" headers="mcps1.3.2.5.2.6.1.3 "><p id="mrs_01_0442__p12194165416015">Female</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.2984701529847%" headers="mcps1.3.2.5.2.6.1.4 "><p id="mrs_01_0442__p127221061217">25</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.46685331466853%" headers="mcps1.3.2.5.2.6.1.5 "><p id="mrs_01_0442__p2270910101219">City J</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_0442__section16880721113918"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0442__ol11471534103911"><li id="mrs_01_0442__l6b58a848ef0f4fe6a361d4ef0ac39fb8"><a name="mrs_01_0442__l6b58a848ef0f4fe6a361d4ef0ac39fb8"></a><a name="l6b58a848ef0f4fe6a361d4ef0ac39fb8"></a><span>Download the client configuration file.</span><p><ul id="mrs_01_0442__ul67518334192"><li id="mrs_01_0442__li1475123316190">For versions earlier than MRS 3.x, perform the following operations:<ol type="a" id="mrs_01_0442__o10934933c3364550a0be5195fbfc2f32"><li id="mrs_01_0442__li1799392319436">Log in to MRS Manager. For details, see <a href="mrs_01_2123.html">Accessing Manager</a>. Then, choose <strong id="mrs_01_0442__b138441346112116">Services</strong>.</li><li id="mrs_01_0442__le025c1892e7147e290dff3b94a1d0393">Click <span class="uicontrol" id="mrs_01_0442__uicontrol13633146836"><b>Download Client</b></span>.<p id="mrs_01_0442__p6662635987">Set <span class="parmname" id="mrs_01_0442__parmname07231071731"><b>Client Type</b></span> to <span class="parmvalue" id="mrs_01_0442__parmvalue9723671136"><b>Only configuration files</b></span>, <span class="parmname" id="mrs_01_0442__parmname1172418714314"><b>Download to</b></span> to <span class="parmvalue" id="mrs_01_0442__parmvalue772415714316"><b>Server</b></span>, and click <span class="uicontrol" id="mrs_01_0442__uicontrol11724137335"><b>OK</b></span> to generate the client configuration file. The generated file is saved in the <strong id="mrs_01_0442__b872413717315">/tmp/MRS-client</strong> directory on the active management node by default.</p>
+</li></ol>
+</li><li id="mrs_01_0442__li2066134213204">For MRS 3.<em id="mrs_01_0442__i1361819111942">x</em> or later, perform the following operations:<ol type="a" id="mrs_01_0442__ol169871359123614"><li id="mrs_01_0442__li3986195917363">Log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>.</li><li id="mrs_01_0442__li11986125923613">Choose <strong id="mrs_01_0442__b180745429451219">Cluster</strong> &gt; <em id="mrs_01_0442__i12295953251219">Name of the desired cluster</em> &gt; <strong id="mrs_01_0442__b78877487751219">Dashboard</strong> &gt; <strong id="mrs_01_0442__b99905805451219">More</strong> &gt; <strong id="mrs_01_0442__b20987200151219">Download Client</strong>.</li><li id="mrs_01_0442__li3987145913362">Download the cluster client.<p id="mrs_01_0442__p20987105913361"><a name="mrs_01_0442__li3987145913362"></a><a name="li3987145913362"></a>Set <span class="parmname" id="mrs_01_0442__parmname89861359103617"><b>Select Client Type</b></span> to <span class="parmvalue" id="mrs_01_0442__parmvalue1198711591367"><b>Configuration Files Only </b></span>, select a platform type, and click <span class="uicontrol" id="mrs_01_0442__uicontrol1198745973617"><b>OK</b></span> to generate the client configuration file which is then saved in the <strong id="mrs_01_0442__b18808003651219">/tmp/FusionInsight-Client/</strong> directory on the active management node by default.</p>
+</li></ol>
+</li></ul>
+</p></li><li id="mrs_01_0442__li595112919519"><span>Log in to the active management node of Manager.</span><p><ul id="mrs_01_0442__ul166431739132314"><li id="mrs_01_0442__li11643143952314">For versions earlier than MRS 3.x, perform the following operations:<ol type="a" id="mrs_01_0442__oad0dd0b610c34488815d2b07e4656c11"><li id="mrs_01_0442__l52f4be0ff6434297a1b84c6a772a9828">On the MRS console, click <strong id="mrs_01_0442__b1510935112277">Clusters</strong>, choose <strong id="mrs_01_0442__b05255516279">Active Clusters</strong>, and click a cluster name. On the <strong id="mrs_01_0442__b1641925016220">Nodes</strong> tab, view the node names. The node whose name contains <strong id="mrs_01_0442__b2101112610234">master1</strong> is the Master1 node, and the node whose name contains <strong id="mrs_01_0442__b493853692315">master2</strong> is the Master2 node.<p id="mrs_01_0442__a2f41d2e8a2434da2a56a6f48035e2d15">The active and standby management nodes of MRS Manager are installed on Master nodes by default. Because Master1 and Master2 are switched over in active and standby mode, Master1 is not always the active management node of MRS Manager. Run a command in Master1 to check whether Master1 is active management node of MRS Manager. For details about the command, see <a href="#mrs_01_0442__le8e7045cece741e8b6209b929a50ff22">2.d</a>.</p>
+</li><li id="mrs_01_0442__lad0d75a7717442b68338881c7c895c81">Log in to the Master1 node using the password as user <strong id="mrs_01_0442__b1529118518202">root</strong>. For details, see <a href="https://docs.otc.t-systems.com/en-us/usermanual/mrs/mrs_01_0083.html" target="_blank" rel="noopener noreferrer">Logging In to a Cluster</a>.</li><li id="mrs_01_0442__l96479867566a4bd59da83a86f87373ef">Run the following commands to switch to user <strong id="mrs_01_0442__b1550681893417">omm</strong>:<p id="mrs_01_0442__adbc6f7bd4142423a89ea39d9d7347674"><strong id="mrs_01_0442__b2760121812416">sudo su - root</strong></p>
+<p id="mrs_01_0442__a09516e4f38e44d8085ab1e7b041fddc0"><strong id="mrs_01_0442__b1476592216414">su - omm</strong></p>
+</li><li id="mrs_01_0442__le8e7045cece741e8b6209b929a50ff22"><a name="mrs_01_0442__le8e7045cece741e8b6209b929a50ff22"></a><a name="le8e7045cece741e8b6209b929a50ff22"></a>Run the following command to check the active management node of MRS Manager:<p id="mrs_01_0442__p296913416327"><a name="mrs_01_0442__le8e7045cece741e8b6209b929a50ff22"></a><a name="le8e7045cece741e8b6209b929a50ff22"></a><strong id="mrs_01_0442__b3201818417756">sh ${BIGDATA_HOME}/om-0.0.1/sbin/status-oms.sh</strong></p>
+<p id="mrs_01_0442__a2e14fbc736604468bd7585d96245cd58">In the command output, the node whose <span class="parmname" id="mrs_01_0442__parmname1093914458151"><b>HAActive</b></span> is <span class="parmvalue" id="mrs_01_0442__parmvalue109409453159"><b>active</b></span> is the active management node, and the node whose <span class="parmname" id="mrs_01_0442__parmname7941154517155"><b>HAActive</b></span> is <span class="parmvalue" id="mrs_01_0442__parmvalue179421745181519"><b>standby</b></span> is the standby management node. In the following example, <strong id="mrs_01_0442__b14942345171520">mgtomsdat-sh-3-01-1</strong> is the active management node, and <strong id="mrs_01_0442__b8943845141519">mgtomsdat-sh-3-01-2</strong> is the standby management node.</p>
+<pre class="screen" id="mrs_01_0442__sd906fdd3601748af837ddf8172bd0e75">Ha mode
+double
+NodeName              HostName                      HAVersion          StartTime                HAActive             HAAllResOK           HARunPhase 
+192-168-0-30          mgtomsdat-sh-3-01-1           V100R001C01        2014-11-18 23:43:02      <strong id="mrs_01_0442__a62984b3e97d740d3bc709bb1da033a2f">active</strong>               normal               Actived    
+192-168-0-24          mgtomsdat-sh-3-01-2           V100R001C01        2014-11-21 07:14:02      <strong id="mrs_01_0442__a31f4111b8e77424caf416a08ed194aa4">standby</strong>              normal               Deactived</pre>
+</li><li id="mrs_01_0442__lde3b2ea113c34b4687592dfdc8b454c2">Log in to the active management node as user <strong id="mrs_01_0442__b177061416181912">root</strong>, for example, node <span class="parmvalue" id="mrs_01_0442__p4fa8933886834ca8854b5d0617f23f10"><b>192-168-0-30</b></span>.</li></ol>
+</li><li id="mrs_01_0442__li3485185552314">For MRS 3.<em id="mrs_01_0442__i1750117497517">x </em>or later, perform the following operations:<ol type="a" id="mrs_01_0442__ol8987145983618"><li id="mrs_01_0442__li149871159103614">Log in to any node where Manager is deployed as user <strong id="mrs_01_0442__b098755910363">root</strong>.</li><li id="mrs_01_0442__li12987185973617">Run the following command to identify the active and standby nodes:<p id="mrs_01_0442__p17987205912364"><a name="mrs_01_0442__li12987185973617"></a><a name="li12987185973617"></a><strong id="mrs_01_0442__b159872059163610">sh ${BIGDATA_HOME}/om-server/om/sbin/status-oms.sh</strong></p>
+<p id="mrs_01_0442__p17987125916360">In the command output, the value of <strong id="mrs_01_0442__b21377327751219">HAActive</strong> for the active management node is <strong id="mrs_01_0442__b13290356051219">active</strong>, and that for the standby management node is <strong id="mrs_01_0442__b91799915851219">standby</strong>. In the following example, <strong id="mrs_01_0442__b172395939051219">node-master1</strong> is the active management node, and <strong id="mrs_01_0442__b8817160851219">node-master2</strong> is the standby management node.</p>
+<pre class="screen" id="mrs_01_0442__screen39871559163619">HAMode 
+double 
+NodeName             HostName        HAVersion          StartTime                HAActive             HAAllResOK           HARunPhase  
+192-168-0-30         node-master1    V100R001C01        2020-05-01 23:43:02      active               normal               Actived     
+192-168-0-24         node-master2    V100R001C01        2020-05-01 07:14:02      standby              normal               Deactived </pre>
+</li><li id="mrs_01_0442__li14987145993619">Log in to the primary management node as user <strong id="mrs_01_0442__b2947161654817">root</strong> and run the following command to switch to user <strong id="mrs_01_0442__b12947191624814">omm</strong>:<p id="mrs_01_0442__p17873182683018"><strong id="mrs_01_0442__b16162728194113">sudo su - omm</strong></p>
+</li></ol>
+</li></ul>
+</p></li><li id="mrs_01_0442__li1325114150135"><span>Run the following command to go to the client installation directory:</span><p><p id="mrs_01_0442__p1499713212913"><strong id="mrs_01_0442__b138661758142811">cd /opt/client</strong></p>
+<p id="mrs_01_0442__p924985613282">The cluster client has been installed in advance. The following client installation directory is used as an example. Change it based on the site requirements.</p>
+</p></li><li id="mrs_01_0442__li15639738131312"><a name="mrs_01_0442__li15639738131312"></a><a name="li15639738131312"></a><span>Run the following command to update the client configuration for the active management node.</span><p><p id="mrs_01_0442__p365063812136"><strong id="mrs_01_0442__b9719204219357">sh refreshConfig.sh /opt/client</strong> <i><span class="varname" id="mrs_01_0442__varname1665143881313">Full path of the client configuration file package</span></i></p>
+<p id="mrs_01_0442__p86531138181318">For example, run the following command:</p>
+<p id="mrs_01_0442__p3654193818136"><strong id="mrs_01_0442__b14655103818135">sh refreshConfig.sh /opt/client </strong><strong id="mrs_01_0442__b2054762513449">/tmp/FusionInsight-C</strong><strong id="mrs_01_0442__b146151621525">lient/</strong><strong id="mrs_01_0442__b139102545817">FusionInsight_Cluster_1_Services_Client.tar</strong></p>
+<p id="mrs_01_0442__p9659123820139">If the following information is displayed, the configurations have been updated successfully.</p>
+<pre class="screen" id="mrs_01_0442__screen1866023831317"> ReFresh components client config is complete.
+ Succeed to refresh components client config.</pre>
+<div class="note" id="mrs_01_0442__note1971123710424"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0442__p613218111518">You can refer to Method 2 in <a href="https://docs.otc.t-systems.com/en-us/usermanual/mrs/mrs_01_0089.html" target="_blank" rel="noopener noreferrer">Updating a Client</a> to perform operations in steps <a href="#mrs_01_0442__l6b58a848ef0f4fe6a361d4ef0ac39fb8">1</a> to <a href="#mrs_01_0442__li15639738131312">4</a>.</p>
+</div></div>
+</p></li><li id="mrs_01_0442__l6556791324fa484e91dc201b480e3115"><span>Use the client on a Master node.</span><p><ol type="a" id="mrs_01_0442__od49292eae1f845e8a383e761ce0ce2f7"><li id="mrs_01_0442__led80939ae6024a9ba8841d649d5132b4">On the active management node, for example, <span class="parmvalue" id="mrs_01_0442__pb923e7c26e0f4bffb26f1521910a2c79"><b>192-168-0-30</b></span>, run the following command to switch to the client directory, for example, <strong id="mrs_01_0442__b189531649195119">/opt</strong><strong id="mrs_01_0442__b5953114910511"></strong><strong id="mrs_01_0442__b89531249105119">/client</strong>.<p id="mrs_01_0442__en-us_topic_0037446806_p11191414462"><strong id="mrs_01_0442__b1668485133617">cd /opt</strong><strong id="mrs_01_0442__b17686135173619">/client</strong></p>
+</li><li id="mrs_01_0442__ldf91db8293354ac4beabdf4679eb0034">Run the following command to configure environment variables:<p id="mrs_01_0442__en-us_topic_0037446806_p711917124619"><a name="mrs_01_0442__ldf91db8293354ac4beabdf4679eb0034"></a><a name="ldf91db8293354ac4beabdf4679eb0034"></a><strong id="mrs_01_0442__b10953105010554">source bigdata_env</strong></p>
+</li><li id="mrs_01_0442__li495913245475">If Kerberos authentication is enabled for the current cluster, run the following command to authenticate the current user:<p id="mrs_01_0442__aeaf76195462f4119af05c698566aba09"><a name="mrs_01_0442__li495913245475"></a><a name="li495913245475"></a><strong id="mrs_01_0442__b09391645217">kinit</strong> <em id="mrs_01_0442__i16939545217">MRS cluster user</em></p>
+<p id="mrs_01_0442__en-us_topic_0037446806_p809043511651">Example: user <strong id="mrs_01_0442__b144573521725">kinit hiveuser</strong></p>
+<p id="mrs_01_0442__p676363144715">The current user must have the permission to create Hive tables. To create a role with the permission, refer to <a href="https://docs.otc.t-systems.com/en-us/usermanual/mrs/mrs_01_0343.html" target="_blank" rel="noopener noreferrer">Creating a Role</a>. To bind the role to the current user, refer to <a href="https://docs.otc.t-systems.com/en-us/usermanual/mrs/mrs_01_0345.html" target="_blank" rel="noopener noreferrer">Creating a User</a>.If Kerberos authentication is disabled, skip this step.</p>
+</li><li id="mrs_01_0442__en-us_topic_0037446806_li8119414469">Run the client command of the Hive component directly.<p id="mrs_01_0442__ae866cfe594424869bd57657b6921e1a8"><a name="mrs_01_0442__en-us_topic_0037446806_li8119414469"></a><a name="en-us_topic_0037446806_li8119414469"></a><strong id="mrs_01_0442__b181391521567">beeline</strong></p>
+</li></ol>
+</p></li><li id="mrs_01_0442__li2015821418148"><span>Run the Hive client command to implement service A.</span><p><p id="mrs_01_0442__p1185185714716"><strong id="mrs_01_0442__b1596817213318">Operations on internal tables</strong>:</p>
+<ol type="a" id="mrs_01_0442__ol897653825911"><li id="mrs_01_0442__li12976638185912">Create the <strong id="mrs_01_0442__b49282232317">user_info</strong> user information table according to <a href="#mrs_01_0442__en-us_topic_0037446806_table27353390">Table 1</a> and add data to it.<p id="mrs_01_0442__p15654104164819"><strong id="mrs_01_0442__b04501946124816">create table user_info(id string,name string,gender string,age int,addr string);</strong></p>
+<p id="mrs_01_0442__p426392616245">For MRS 1.<em id="mrs_01_0442__i179691855151812">x</em>, MRS 3.<em id="mrs_01_0442__i9249139197">x</em>, or later, perform the following operations:</p>
+<p id="mrs_01_0442__p1165414144811"><strong id="mrs_01_0442__b134741846124818">insert into table user_info(id,name,gender,age,addr) values("12005000201","A","Male",19,"City A");</strong></p>
+<p id="mrs_01_0442__p913802642515">For MRS 2.<em id="mrs_01_0442__i8506322151911">x</em>, perform the following operations:</p>
+<p id="mrs_01_0442__p785884510250"><strong id="mrs_01_0442__b48581645122519">insert into table user_info values("12005000201","A","Male",19,"City A");</strong></p>
+</li><li id="mrs_01_0442__li10684611801">Add users' educational backgrounds and professional titles to the <strong id="mrs_01_0442__b76874461733">user_info</strong> table.<p id="mrs_01_0442__p92235520713">For example, to add educational background and title information about user 12005000201, run the following command: </p>
+<p id="mrs_01_0442__p15797125124918"><strong id="mrs_01_0442__b8436102854919">alter table user_info add columns(education string,technical string);</strong></p>
+</li><li id="mrs_01_0442__li12134202514012">Query user names and addresses by user ID. <p id="mrs_01_0442__p192245520718"><a name="mrs_01_0442__li12134202514012"></a><a name="li12134202514012"></a>For example, to query the name and address of user 12005000201, run the following command:</p>
+<p id="mrs_01_0442__p194503336492"><strong id="mrs_01_0442__b1060310367495">select name,addr from user_info where id='12005000201';</strong></p>
+</li><li id="mrs_01_0442__li83797414013">Delete the user information table.<p id="mrs_01_0442__p7339240174916"><a name="mrs_01_0442__li83797414013"></a><a name="li83797414013"></a><strong id="mrs_01_0442__b629847154912">drop table user_info;</strong></p>
+</li></ol>
+<p id="mrs_01_0442__p122385512717"><strong id="mrs_01_0442__b44911519249">Operations on external partition tables</strong>:</p>
+<p id="mrs_01_0442__p52319551076">Create an external partition table and import data.</p>
+<ol type="a" id="mrs_01_0442__ol1218033011"><li id="mrs_01_0442__li16180193711">Create a path for storing external table data.<p id="mrs_01_0442__p11851851164916"><a name="mrs_01_0442__li16180193711"></a><a name="li16180193711"></a><strong id="mrs_01_0442__b974413532494">hdfs dfs -mkdir /hive/</strong></p>
+<p id="mrs_01_0442__p1399641317440"><strong id="mrs_01_0442__b8996171319445">hdfs dfs -mkdir /hive/</strong><strong id="mrs_01_0442__b9481729104419">user_info</strong></p>
+</li><li id="mrs_01_0442__li106723516">Create a table.<p id="mrs_01_0442__p11899135644918"><a name="mrs_01_0442__li106723516"></a><a name="li106723516"></a><strong id="mrs_01_0442__b17759120155020">create external table user_info(id string,name string,gender string,age int,addr string) partitioned by(year string) row format delimited fields terminated by ' ' lines terminated by '\n' stored as textfile location '/hive/user_info';</strong></p>
+<div class="note" id="mrs_01_0442__n97342fa4140b46079eddb6a5ffc0c15e"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0442__p664044323711"><strong id="mrs_01_0442__b17870153516414">fields terminated</strong> indicates delimiters, for example, spaces.</p>
+<p id="mrs_01_0442__p164171425173813"><strong id="mrs_01_0442__b13995205517416">lines terminated</strong> indicates line breaks, for example, <strong id="mrs_01_0442__b305561240">\n</strong>.</p>
+<p id="mrs_01_0442__p83014811213"><strong id="mrs_01_0442__b590111591045">/hive/user_info</strong> indicates the path of the data file.</p>
+</div></div>
+</li><li id="mrs_01_0442__li166071145919">Import data.<ol class="substepthirdol" id="mrs_01_0442__ol208399551813"><li id="mrs_01_0442__li790116533110">Execute the insert statement to insert data.<p id="mrs_01_0442__p158281248121814"><a name="mrs_01_0442__li790116533110"></a><a name="li790116533110"></a><strong id="mrs_01_0442__b103946535016">insert into user_info partition(year="2018") values ("12005000201","A","Male",19,"City A");</strong></p>
+</li><li id="mrs_01_0442__li118197628">Run the <strong id="mrs_01_0442__b104308142516">load data</strong> command to import file data.<ol id="mrs_01_0442__ol33451271834"><li id="mrs_01_0442__li1796720241736">Create a file based on the data in <a href="#mrs_01_0442__en-us_topic_0037446806_table27353390">Table 1</a>. For example, the file name is <strong id="mrs_01_0442__b3239172718514">txt.log</strong>. Fields are separated by space, and the line feed characters are used as the line breaks.</li><li id="mrs_01_0442__li1155464714313">Upload the file to HDFS.<p id="mrs_01_0442__p15839722134313"><a name="mrs_01_0442__li1155464714313"></a><a name="li1155464714313"></a><strong id="mrs_01_0442__b6888113920436">hdfs dfs -put txt.log /tmp</strong></p>
+</li><li id="mrs_01_0442__li69096114410">Load data to the table.<p id="mrs_01_0442__p1016010276439"><a name="mrs_01_0442__li69096114410"></a><a name="li69096114410"></a><strong id="mrs_01_0442__b143474354320">load data inpath '/tmp/txt.log' into table user_info partition (year='2011');</strong></p>
+</li></ol>
+</li></ol>
+</li><li id="mrs_01_0442__li14540174717212">Query the imported data.<p id="mrs_01_0442__p17449531124314"><a name="mrs_01_0442__li14540174717212"></a><a name="li14540174717212"></a><strong id="mrs_01_0442__b195591144174310">select * from user_info;</strong></p>
+</li><li id="mrs_01_0442__li7472135717217">Delete the user information table.<p id="mrs_01_0442__p20368335114316"><a name="mrs_01_0442__li7472135717217"></a><a name="li7472135717217"></a><strong id="mrs_01_0442__b6303144674311">drop table user_info;</strong></p>
+</li><li id="mrs_01_0442__li162281716413">Run the following command to exit:<p id="mrs_01_0442__p57652212419"><a name="mrs_01_0442__li162281716413"></a><a name="li162281716413"></a><strong id="mrs_01_0442__b201952141219">!q</strong></p>
+</li></ol>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0443.html b/docs/mrs/component-operation-guide/mrs_01_0443.html
new file mode 100644
index 000000000..3460541ac
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+++ b/docs/mrs/component-operation-guide/mrs_01_0443.html
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+<a name="mrs_01_0443"></a><a name="mrs_01_0443"></a>
+
+<h1 class="topictitle1">Configuring HBase Parameters</h1>
+<div id="body1589421623830"><div class="note" id="mrs_01_0443__note157161915598"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0443__p7716149125917">The operations described in this section apply only to clusters of versions earlier than MRS 3.x.</p>
+</div></div>
+<p id="mrs_01_0443__p938634316933">If the default parameter settings of the MRS service cannot meet your requirements, you can modify the parameter settings as required.</p>
+<ol id="mrs_01_0443__ol16662473715"><li id="mrs_01_0443__li24453319614"><span>Log in to the service page.</span><p><p id="mrs_01_0443__p1528815213240">For versions earlier than MRS 1.9.2: Log in to <a href="https://docs.otc.t-systems.com/usermanual/mrs/mrs_01_0102.html" target="_blank" rel="noopener noreferrer">MRS Manager</a>, and choose <strong id="mrs_01_0443__b56021340173016">Services</strong>.</p>
+<p id="mrs_01_0443__p463355062416">For MRS 1.9.2 or later: Click the cluster name on the MRS console and choose <strong id="mrs_01_0443__b2386950194317">Components</strong>.</p>
+</p></li><li id="mrs_01_0443__li448801318714"><span>Choose <strong id="mrs_01_0443__b5206171005717">HBase</strong> &gt; <strong id="mrs_01_0443__b1636781415714">Service Configuration</strong> and switch <strong id="mrs_01_0443__b74231329183517">Basic</strong> to <strong id="mrs_01_0443__b15423129133517">All</strong>. On the displayed HBase configuration page, modify parameter settings.</span><p>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0443__table430163185120" frame="border" border="1" rules="all"><caption><b>Table 1 </b>HBase parameters</caption><thead align="left"><tr id="mrs_01_0443__row2030218315519"><th align="left" class="cellrowborder" valign="top" width="39.24392439243925%" id="mcps1.3.3.2.2.1.2.4.1.1"><p id="mrs_01_0443__p13021439512">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="40.32403240324032%" id="mcps1.3.3.2.2.1.2.4.1.2"><p id="mrs_01_0443__p123021739518">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20.43204320432043%" id="mcps1.3.3.2.2.1.2.4.1.3"><p id="mrs_01_0443__p83026314512">Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0443__row123021438512"><td class="cellrowborder" valign="top" width="39.24392439243925%" headers="mcps1.3.3.2.2.1.2.4.1.1 "><p id="mrs_01_0443__p83021338513">hbase.regionserver.hfile.durable.sync</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.32403240324032%" headers="mcps1.3.3.2.2.1.2.4.1.2 "><p id="mrs_01_0443__p1094819171504">Whether to enable the HFile durability to make data persistence on disks. If this parameter is set to<strong id="mrs_01_0443__b1678172817362"> true</strong>, HBase performance is affected because each HFile is synchronized to disks by <strong id="mrs_01_0443__b9835286368">hadoop fsync</strong> when being written to HBase.</p>
+<p id="mrs_01_0443__p9914183914017">This parameter exists only in MRS 1.9.2 or earlier.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.43204320432043%" headers="mcps1.3.3.2.2.1.2.4.1.3 "><p id="mrs_01_0443__p3878173417820">Possible values are as follows:</p>
+<ul id="mrs_01_0443__ul178809348816"><li id="mrs_01_0443__li188801341585"><strong id="mrs_01_0443__b13677515182020">true</strong></li><li id="mrs_01_0443__li188053418811"><strong id="mrs_01_0443__b737492411207">false</strong></li></ul>
+<p id="mrs_01_0443__p107989107314">The default value is <strong id="mrs_01_0443__b123093489366">true</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_0443__row113027316513"><td class="cellrowborder" valign="top" width="39.24392439243925%" headers="mcps1.3.3.2.2.1.2.4.1.1 "><p id="mrs_01_0443__p73039355113">hbase.regionserver.wal.durable.sync</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.32403240324032%" headers="mcps1.3.3.2.2.1.2.4.1.2 "><p id="mrs_01_0443__p73031634516">Specifies whether to enable WAL file durability to make the WAL data persistence on disks. If this parameter is set to<strong id="mrs_01_0443__b14817135815367"> true</strong>, HBase performance is affected because each edited WAL file is synchronized to disks by <strong id="mrs_01_0443__b178229585369">hadoop fsync</strong> when being written to HBase.</p>
+<p id="mrs_01_0443__p146725363219">This parameter exists only in MRS 1.9.2 or earlier.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.43204320432043%" headers="mcps1.3.3.2.2.1.2.4.1.3 "><p id="mrs_01_0443__p687715499814">Possible values are as follows:</p>
+<ul id="mrs_01_0443__ul10877164913820"><li id="mrs_01_0443__li6877144920815"><strong id="mrs_01_0443__b3416183182013">true</strong></li><li id="mrs_01_0443__li178772491285"><strong id="mrs_01_0443__b111251838172012">false</strong></li></ul>
+<p id="mrs_01_0443__p18878949886">The default value is <strong id="mrs_01_0443__b436551319375">true</strong>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li></ol>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0500.html">Using HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0471.html b/docs/mrs/component-operation-guide/mrs_01_0471.html
new file mode 100644
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@@ -0,0 +1,98 @@
+<a name="mrs_01_0471"></a><a name="mrs_01_0471"></a>
+
+<h1 class="topictitle1">Using an MRS Client to Operate OpenTSDB Metric Data</h1>
+<div id="body1589421636429"><p id="mrs_01_0471__p8060118">You can perform an interactive operation on an MRS cluster client. For a cluster with Kerberos authentication enabled, the user must belong to the <strong id="mrs_01_0471__b20199210365328">opentsdb</strong>, <strong id="mrs_01_0471__b4296692115328">hbase</strong>, <strong id="mrs_01_0471__b1316213405328">opentsdbgroup</strong>, and <strong id="mrs_01_0471__b12600965545328">supergroup</strong> groups and have the HBase permission.</p>
+<div class="section" id="mrs_01_0471__section482010192610"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_0471__ul18739582619"><li id="mrs_01_0471__li88748512263">The password of user <strong id="mrs_01_0471__b3187125435328">admin</strong> has been obtained. The password of user <strong id="mrs_01_0471__b15157674565328">admin</strong> is specified by the user during MRS cluster creation.</li><li id="mrs_01_0471__li19874195132611">The cluster client has been installed, for example, in the <strong id="mrs_01_0471__b4249148072">/opt/client</strong> directory. The client directory in the following operations is only an example. Change it based on the actual installation directory onsite. For details about how to update a client, see <a href="mrs_01_2130.html">Updating a Client (Versions Earlier Than 3.x)</a>.</li></ul>
+</div>
+<div class="section" id="mrs_01_0471__section137578192714"><h4 class="sectiontitle">Using a Client</h4><ol id="mrs_01_0471__ol123161142122712"><li id="mrs_01_0471__li15316164212277"><span>If Kerberos authentication is enabled for the current cluster, log in to MRS Manager and create a user that belongs to the <strong id="mrs_01_0471__b20848133345328">opentsdb</strong>, <strong id="mrs_01_0471__b5256465595328">hbase</strong>, <strong id="mrs_01_0471__b7951291565328">opentsdbgroup</strong>, and <strong id="mrs_01_0471__b15818045365328">supergroup</strong> groups and has the HBase permission, for example, <strong id="mrs_01_0471__b10608253895328">opentsdbuser</strong>. If Kerberos authentication is disabled for the current cluster, skip this step.</span></li><li id="mrs_01_0471__li1273631718297"><span>Prepare a client based on service conditions and log in to the node where the client is installed.</span><p><p id="mrs_01_0471__p1662112010299">For example, if you have updated the client on the Master2 node, log in to the Master2 node to use the client. For details, see <a href="mrs_01_2130.html">Updating a Client (Versions Earlier Than 3.x)</a>.</p>
+</p></li><li id="mrs_01_0471__li2585123717291"><span>Run the following command to switch the user:</span><p><p id="mrs_01_0471__p5570048132910"><strong id="mrs_01_0471__b757014820292">sudo su - omm</strong></p>
+</p></li><li id="mrs_01_0471__li1173965822910"><span>Run the following command to switch to the client directory, for example, <strong id="mrs_01_0471__b10037350745328">/opt/client</strong>.</span><p><p id="mrs_01_0471__p177491758132911"><strong id="mrs_01_0471__b67491958132912">cd /opt/client</strong></p>
+</p></li><li id="mrs_01_0471__li1328610293018"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_0471__p1029513220305"><strong id="mrs_01_0471__b102953223015">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_0471__li3644101353316"><span>If Kerberos authentication is enabled for the current cluster, run the following command to authenticate the current user. If Kerberos authentication is disabled for the current cluster, skip this step.</span><p><ul id="mrs_01_0471__ul134571621617"><li id="mrs_01_0471__li145713671615">If the user is a human-machine user, run the <strong id="mrs_01_0471__b10215124251620">kinit opentsdbuser</strong> command to authenticate the user.</li><li id="mrs_01_0471__li0966174320168">If the user is a machine-machine user, download the user authentication credential file, and save and decompress it to obtain the user's <strong id="mrs_01_0471__b11241086905328">user.keytab</strong> and <strong id="mrs_01_0471__b20305343035328">krb5.conf</strong> files. Go to the decompressed <strong id="mrs_01_0471__b5742218385328">user.keytab</strong> directory, and run the <strong id="mrs_01_0471__b8737437555328">kinit -kt user.keytab opentsdbuser</strong> command to authenticate the user.</li></ul>
+</p></li><li id="mrs_01_0471__li1390815853011"><span>Operate the OpenTSDB data. For details, see <a href="#mrs_01_0471__section46629451460">Operating Data</a>.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_0471__section46629451460"><a name="mrs_01_0471__section46629451460"></a><a name="section46629451460"></a><h4 class="sectiontitle">Operating Data</h4><ul id="mrs_01_0471__ul2477195220472"><li id="mrs_01_0471__li247716525474">Viewing help information<p id="mrs_01_0471__p243994319491"><a name="mrs_01_0471__li247716525474"></a><a name="li247716525474"></a>Run the <strong id="mrs_01_0471__b11455161505018">tsdb</strong> command to print all commands supported by OpenTSDB, for example, <strong id="mrs_01_0471__b3397196835328">fsck</strong>, <strong id="mrs_01_0471__b4444200635328">import</strong>, <strong id="mrs_01_0471__b11693578415328">mkmetric</strong>, <strong id="mrs_01_0471__b13830158975328">query</strong>, <strong id="mrs_01_0471__b9904533055328">tsd</strong>, <strong id="mrs_01_0471__b12663309285328">scan</strong>, <strong id="mrs_01_0471__b4274591305328">search</strong>, <strong id="mrs_01_0471__b8483095375328">uid</strong>, and <strong id="mrs_01_0471__b10922940445328">version</strong>.</p>
+<p id="mrs_01_0471__p03649554490">Command output:</p>
+<pre class="screen" id="mrs_01_0471__screen6126137115011">tsdb: error: unknown command ''
+usage: tsdb &lt;command&gt; [args]
+Valid commands: fsck, import, mkmetric, query, tsd, scan, search, uid, version</pre>
+</li><li id="mrs_01_0471__li1389105874715">Creating an OpenTSDB metric<p id="mrs_01_0471__p10636347175115"><a name="mrs_01_0471__li1389105874715"></a><a name="li1389105874715"></a>Run the <strong id="mrs_01_0471__b131221845195419">tsdb mkmetric</strong> command to create a metric. For example, run the <strong id="mrs_01_0471__b7197173045328">tsdb mkmetric sys.cpu.user</strong> command to create a metric named <strong id="mrs_01_0471__b10050445875328">sys.cpu.user</strong>.</p>
+<p id="mrs_01_0471__p116365479514">Command output:</p>
+<pre class="screen" id="mrs_01_0471__screen12319742195115">Start run net.opentsdb.tools.UidManager, args: assign metrics sys.cpu.user
+metrics sys.cpu.user: [0, 0, 6]</pre>
+</li><li id="mrs_01_0471__li181492391165">Importing data to the OpenTSDB metric<ol id="mrs_01_0471__ol1295817494179"><li id="mrs_01_0471__li19959104941714">Prepare a metric file, for example, the <strong id="mrs_01_0471__b20292336745328">importData.txt</strong> file that contains following information.<p id="mrs_01_0471__p814025561813">sys.cpu.user 1356998400 41 host=web01 cpu=0</p>
+<p id="mrs_01_0471__p17140155515189">sys.cpu.user 1356998401 42 host=web01 cpu=0</p>
+<p id="mrs_01_0471__p171403558183">sys.cpu.user 1356998402 44 host=web01 cpu=0</p>
+<p id="mrs_01_0471__p41401555191814">sys.cpu.user 1356998403 47 host=web01 cpu=0</p>
+<p id="mrs_01_0471__p814011554188">sys.cpu.user 1356998404 42 host=web01 cpu=0</p>
+<p id="mrs_01_0471__p20140135514184">sys.cpu.user 1356998405 42 host=web01 cpu=0</p>
+</li><li id="mrs_01_0471__li14648183411812">Run the <strong id="mrs_01_0471__b339615566404">tsdb import</strong> command to import metric data. For example, run the <strong id="mrs_01_0471__b12251290375328">tsdb import importData.txt</strong> command to import the <strong id="mrs_01_0471__b21217749605328">importData.txt</strong> file.<pre class="screen" id="mrs_01_0471__screen185761059122116">Start run net.opentsdb.tools.TextImporter, args: importData.txt
+2019-06-26
+15:45:22,091 INFO  [main] TextImporter:
+reading from file:importData.txt
+2019-06-26
+15:45:22,102 INFO  [main] TextImporter:
+Processed importData.txt in 11 ms, 6 data points (545.5 points/s)
+2019-06-26
+15:45:22,102 INFO  [main] TextImporter:
+Total: imported 6 data points in 0.012s (504.0 points/s)</pre>
+</li></ol>
+</li><li id="mrs_01_0471__li1131619166488">Querying the OpenTSDB metric<p id="mrs_01_0471__p1567265118574"><a name="mrs_01_0471__li1131619166488"></a><a name="li1131619166488"></a>Run the <strong id="mrs_01_0471__b37221559175717">tsdb uid metrics</strong> command to obtain the metric stored in OpenTSDB. For example, run the <strong id="mrs_01_0471__b2915473635328">tsdb uid metrics sys.cpu.user</strong> command to query the data of the <strong id="mrs_01_0471__b6483136735328">sys.cpu.user</strong> metric.</p>
+<p id="mrs_01_0471__p15113085813">Command output:</p>
+<pre class="screen" id="mrs_01_0471__screen10402540145812">Start run net.opentsdb.tools.UidManager, args: metrics sys.cpu.user
+metrics sys.cpu.user: [0, 0, 6]</pre>
+<p id="mrs_01_0471__p670615320461">To obtain more information, run the <strong id="mrs_01_0471__b134159512166">tsdb uid</strong> command.</p>
+<pre class="screen" id="mrs_01_0471__screen126171812191616">Start run net.opentsdb.tools.UidManager, args:
+Not enough arguments
+Usage: uid &lt;subcommand&gt; args
+Sub commands:
+  grep [kind] &lt;RE&gt;: Finds matching IDs.
+  assign &lt;kind&gt; &lt;name&gt; [names]: Assign an ID for the given name(s).
+  rename &lt;kind&gt; &lt;name&gt; &lt;newname&gt;: Renames this UID.
+  delete &lt;kind&gt; &lt;name&gt;: Deletes this UID.
+  fsck: [fix] [delete_unknown] Checks the consistency of UIDs.
+        fix            - Fix errors. By default errors are logged.
+        delete_unknown - Remove columns with unknown qualifiers.
+                         The "fix" flag must be supplied as well.
+  [kind] &lt;name&gt;: Lookup the ID of this name.
+  [kind] &lt;ID&gt;: Lookup the name of this ID.
+  metasync: Generates missing TSUID and UID meta entries, updates created timestamps
+  metapurge: Removes meta data entries from the UID table
+  treesync: Process all timeseries meta objects through tree rules
+  treepurge &lt;id&gt; [definition]: Purge a tree and/or the branches from storage. Provide an integer Tree ID and                                                       optionally add "true" to delete the tree definition
+Example values for [kind]: metrics, tagk (tag name), tagv (tag value).
+  --config=PATH    Path to a configuration file (default: Searches for file see docs).
+  --idwidth=N      Number of bytes on which the UniqueId is encoded.
+  --ignore-case    Ignore case distinctions when matching a regexp.
+  --table=TABLE    Name of the HBase table where to store the time series (default: tsdb).
+  --uidtable=TABLE Name of the HBase table to use for Unique IDs (default: tsdb-uid).
+  --verbose        Print more logging messages and not just errors.
+  --zkbasedir=PATH Path under which is the znode for the -ROOT- region (default: /hbase).
+  --zkquorum=SPEC  Specification of the ZooKeeper quorum to use (default: localhost).
+  -i               Short for --ignore-case.
+  -v               Short for --verbose.</pre>
+</li><li id="mrs_01_0471__li1371919918227">Scanning the OpenTSDB metric data<p id="mrs_01_0471__p19209743142217"><a name="mrs_01_0471__li1371919918227"></a><a name="li1371919918227"></a>Run the <strong id="mrs_01_0471__b19631860845328">tsdb query</strong> command to query the imported metric data in batches. The command format is as follows: <strong id="mrs_01_0471__b9133485815328"><em id="mrs_01_0471__i4151438585328">tsdb query &lt;START-DATE&gt; &lt;END-DATE&gt; &lt;aggregator&gt; &lt;metric&gt; &lt;tagk=tagv&gt;</em></strong>. For example, run the <strong id="mrs_01_0471__b651528785328">tsdb query 0 1h-ago sum sys.cpu.user host=web01</strong> command.</p>
+<pre class="screen" id="mrs_01_0471__screen3702164192414">Start run net.opentsdb.tools.CliQuery, args: 0 1h-ago sum sys.cpu.user host=web01
+sys.cpu.user 1356998400000 41 {host=web01, cpu=0}
+sys.cpu.user 1356998401000 42 {host=web01, cpu=0}
+sys.cpu.user 1356998402000 44 {host=web01, cpu=0}
+sys.cpu.user 1356998403000 47 {host=web01, cpu=0}
+sys.cpu.user 1356998404000 42 {host=web01, cpu=0}
+sys.cpu.user 1356998405000 42 {host=web01, cpu=0}</pre>
+<div class="note" id="mrs_01_0471__note0958133015138"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0471__p17959163071318"><strong id="mrs_01_0471__b2682279055328">&lt;START-DATE&gt;</strong>: start time of the metric to be queried</p>
+<p id="mrs_01_0471__p449118296194"><strong id="mrs_01_0471__b15928918995328">&lt;END-DATE&gt;</strong>: end time of the metric to be queried</p>
+<p id="mrs_01_0471__p1061723531912"><strong id="mrs_01_0471__b19447047095328">&lt;aggregator&gt;</strong>: aggregation mode of the data query</p>
+<p id="mrs_01_0471__p142970553190"><strong id="mrs_01_0471__b19256360935328">&lt;metric&gt;</strong>: name of the metric to be queried</p>
+<p id="mrs_01_0471__p112379415192"><strong id="mrs_01_0471__b4314384095328">&lt;tagk=tagv&gt;</strong>: key and value of a tag</p>
+</div></div>
+</li><li id="mrs_01_0471__li2098942742219">Deleting the imported OpenTSDB metric<p id="mrs_01_0471__p9173147112517"><a name="mrs_01_0471__li2098942742219"></a><a name="li2098942742219"></a>Run the <strong id="mrs_01_0471__b1834313558266">tsdb uid delete</strong> command to delete the imported metric and its value. For example, to delete the <strong id="mrs_01_0471__b5641415805328">sys.cpu.user</strong> metric, run the <strong id="mrs_01_0471__b19727202045328">tsdb uid delete metrics sys.cpu.user</strong> command.</p>
+<pre class="screen" id="mrs_01_0471__screen1192153832717">Start run net.opentsdb.tools.UidManager, args: delete metrics sys.cpu.user</pre>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0599.html">Using OpenTSDB</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0472.html b/docs/mrs/component-operation-guide/mrs_01_0472.html
new file mode 100644
index 000000000..38fc6368c
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0472.html
@@ -0,0 +1,54 @@
+<a name="mrs_01_0472"></a><a name="mrs_01_0472"></a>
+
+<h1 class="topictitle1">Running the curl Command to Operate OpenTSDB</h1>
+<div id="body1589421654460"><div class="section" id="mrs_01_0472__section937319270818"><h4 class="sectiontitle">Writing Data</h4><p id="mrs_01_0472__p153773518814">For example, to write data of a metric named <strong id="mrs_01_0472__b206155510434">testdata</strong>, whose timestamp is <strong id="mrs_01_0472__b162077415445">1524900185</strong>, value is <strong id="mrs_01_0472__b328517164414">true</strong>, tag is <strong id="mrs_01_0472__b187437105444">key</strong> and <strong id="mrs_01_0472__b12635205494416">value</strong>, run the following command:</p>
+<pre class="codeblock" id="mrs_01_0472__codeblock13280171920918">curl -ki -X POST -d '{"metric":"testdata", "timestamp":1524900185, "value":"true", "tags":{"key":"value"}}' https://&lt;tsd_ip&gt;:4242/api/put?sync</pre>
+<p id="mrs_01_0472__p933373172215"><strong id="mrs_01_0472__b51671650194611">&lt;tsd_ip&gt;</strong>: indicates the IP address of the TSD instance of OpenTSDB to which data is to be written.</p>
+<pre class="screen" id="mrs_01_0472__screen1031413371093">HTTP/1.1 204 No Content
+Content-Type: application/json; charset=UTF-8
+Content-Length:0</pre>
+</div>
+<div class="section" id="mrs_01_0472__section126481332391"><h4 class="sectiontitle">Querying Data</h4><p id="mrs_01_0472__p105870161115">For example, to query summary information about the <strong id="mrs_01_0472__b142051616154915">testdata</strong> metric in the past three years, run the following command:</p>
+<pre class="codeblock" id="mrs_01_0472__codeblock16313491110">curl -ks https://&lt;tsd_ip&gt;:4242/api/query?start=3y-ago\&amp;m=sum:testdata | python -m json.tool</pre>
+<ul id="mrs_01_0472__ul7604723151213"><li id="mrs_01_0472__li14604192317127"><strong id="mrs_01_0472__b129929412496">&lt;tsd_ip&gt;</strong>: indicates the IP address or host name of the TSD instance of OpenTSDB that needs to be accessed.</li><li id="mrs_01_0472__li66043239124"><strong id="mrs_01_0472__b1336315414507">&lt;start=3y-ago\&amp;m=sum:testdata&gt;</strong>: Translates the <strong id="mrs_01_0472__b13964112385119">&amp;</strong> symbol, which may not be identified in the request.</li><li id="mrs_01_0472__li360414233123">(Optional) <strong id="mrs_01_0472__b1182988521">&lt;python -m json.tool&gt;</strong>: Converts the response request to the JSON format.</li></ul>
+<pre class="screen" id="mrs_01_0472__screen1130179151113">[
+    {
+        "aggregateTags": [],
+        "dps": {
+            "1524900185": 1
+        },
+        "metric": "testdata",
+        "tags": {
+            "key": "value"
+        }
+    }
+]</pre>
+</div>
+<div class="section" id="mrs_01_0472__section1740125111310"><h4 class="sectiontitle">Querying <strong id="mrs_01_0472__b11254114444711">tsd</strong> Status</h4><p id="mrs_01_0472__p19941133511317">For example, to query information about the client connected to HBase, run the following command:</p>
+<pre class="codeblock" id="mrs_01_0472__codeblock144712590132">curl -ks https://&lt;tsd_ip&gt;:4242/api/stats/region_clients | python -m json.tool</pre>
+<p id="mrs_01_0472__p1746622813264"><strong id="mrs_01_0472__b13913431165318">&lt;tsd_ip&gt;</strong>: indicates the IP address of the TSD instance of OpenTSDB that needs to be accessed.</p>
+<pre class="screen" id="mrs_01_0472__screen8609182312146">[
+    {
+        "dead": false,
+        "endpoint":"/xx.xx.xx.xx:16020",
+        "inflightBreached": 0,
+        "pendingBatchedRPCs": 0,
+        "pendingBreached": 0,
+        "pendingRPCs": 0,
+        "rpcResponsesTimedout": 0,
+        "rpcResponsesUnknown": 0,
+        "rpcid": 78,
+        "rpcsInFlight": 0,
+        "rpcsSent": 79,
+        "rpcsTimedout": 0,
+        "writesBlocked": 0
+    }
+]</pre>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0599.html">Using OpenTSDB</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0473.html b/docs/mrs/component-operation-guide/mrs_01_0473.html
new file mode 100644
index 000000000..8e7556a63
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0473.html
@@ -0,0 +1,118 @@
+<a name="mrs_01_0473"></a><a name="mrs_01_0473"></a>
+
+<h1 class="topictitle1">Using Flink from Scratch</h1>
+<div id="body1589421637992"><p id="mrs_01_0473__p8060118">This section describes how to use Flink to run wordcount jobs.</p>
+<div class="section" id="mrs_01_0473__section148416033913"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_0473__ul16771121414013"><li id="mrs_01_0473__li10771151419019">Flink has been installed in an MRS cluster.</li><li id="mrs_01_0473__li1310817171007">The cluster runs properly and the client has been correctly installed, for example, in the <strong id="mrs_01_0473__b14933153513248">/opt/hadoopclient</strong> directory. The client directory in the following operations is only an example. Change it to the actual installation directory.</li></ul>
+</div>
+<div class="section" id="mrs_01_0473__section286111359366"><h4 class="sectiontitle">Using the Flink Client (Versions Earlier Than MRS 3.x)</h4><ol id="mrs_01_0473__ol8931473819"><li id="mrs_01_0473__li18755848125417"><span>Log in to the node where the client is installed as the client installation user.</span></li><li id="mrs_01_0473__li11744174191512"><span>Run the following command to go to the client installation directory:</span><p><p id="mrs_01_0473__p1974556181712"><strong id="mrs_01_0473__b9710161117174">cd /opt/hadoopclient</strong></p>
+</p></li><li id="mrs_01_0473__li055115014556"><span>Run the following command to initialize environment variables:</span><p><p id="mrs_01_0473__p526118239574"><b><span class="cmdname" id="mrs_01_0473__cmdname995743125717">source /opt/hadoopclient/bigdata_env</span></b></p>
+</p></li><li id="mrs_01_0473__li7711161925717"><span>If Kerberos authentication is enabled for the cluster, perform the following steps. If not, skip this whole step.</span><p><ol type="a" id="mrs_01_0473__ol332183617012"><li id="mrs_01_0473__li544855618118">Prepare a user for submitting Flink jobs..</li><li id="mrs_01_0473__li27421727143610">Log in to Manager and download the authentication credential.<p id="mrs_01_0473__p06115411182"><a name="mrs_01_0473__li27421727143610"></a><a name="li27421727143610"></a>Log in to Manager of the cluster. For details, see <a href="mrs_01_0102.html">Accessing MRS Manager (Versions Earlier Than MRS 3.x)</a>. Choose <strong id="mrs_01_0473__b188561183252155">System Settings</strong> &gt; <strong id="mrs_01_0473__b135296345952155">User Management</strong>. In the <strong id="mrs_01_0473__b132949543652155">Operation</strong> column of the row that contains the added user, choose <strong id="mrs_01_0473__b154032291852155">More</strong> &gt; <strong id="mrs_01_0473__b17221830452155">Download Authentication Credential</strong>.</p>
+</li><li id="mrs_01_0473__li68525322019">Decompress the downloaded authentication credential package and copy the <strong id="mrs_01_0473__b1314681634118">user.keytab</strong> file to the client node, for example, to the <span class="filepath" id="mrs_01_0473__filepath18301323919"><b>/opt/hadoopclient/Flink/flink/conf</b></span> directory on the client node. If the client is installed on a node outside the cluster, copy the <strong id="mrs_01_0473__b1085915504518">krb5.conf</strong> file to the <strong id="mrs_01_0473__b1541794417232">/etc/</strong> directory on this node.</li><li id="mrs_01_0473__li282116149110">Configure security authentication by adding the <strong id="mrs_01_0473__b1132133111291">keytab</strong> path and username in the <strong id="mrs_01_0473__b6327831182913">/opt/hadoopclient/Flink/flink/conf/flink-conf.yaml</strong> configuration file.<p id="mrs_01_0473__p172103018310"><strong id="mrs_01_0473__b633223812614">security.kerberos.login.keytab: </strong><em id="mrs_01_0473__i2015203113616">&lt;user.keytab file path&gt;</em></p>
+<p id="mrs_01_0473__p14210701835"><strong id="mrs_01_0473__b1496214814610">security.kerberos.login.principal: </strong><em id="mrs_01_0473__i6474346468">&lt;Username&gt;</em></p>
+<p id="mrs_01_0473__p2340691346">Example:</p>
+<p id="mrs_01_0473__p4441183614213">security.kerberos.login.keytab: /opt/hadoopclient/Flink/flink/conf/user.keytab</p>
+<p id="mrs_01_0473__p17441143618211">security.kerberos.login.principal: test</p>
+</li><li id="mrs_01_0473__li16702185971011">Generate the <strong id="mrs_01_0473__b10806164319543">generate_keystore.sh</strong> script and place it in the <strong id="mrs_01_0473__b815711517556">bin</strong> directory of the Flink client. In the <strong id="mrs_01_0473__b13530174152917">bin</strong> directory of the Flink client, run the following command to perform security hardening. For details, see <span id="mrs_01_0473__ph1294413550112"><a href="https://docs.otc.t-systems.com/cmpntguide/mrs/mrs_01_1583.html" target="_blank" rel="noopener noreferrer">Authentication and Encryption</a></span>. Set <strong id="mrs_01_0473__b16920155415375">password</strong> in the following command to a password for submitting jobs:<p id="mrs_01_0473__p127132597108"><strong id="mrs_01_0473__b1967818111713">sh generate_keystore.sh &lt;<em id="mrs_01_0473__i2229191315177">password</em>&gt;</strong></p>
+<p id="mrs_01_0473__p5713165991012">The script automatically replaces the SSL value in the <strong id="mrs_01_0473__b726875514297">/opt/hadoopclient/Flink/flink/conf/flink-conf.yaml</strong> file. For an MRS 2.<em id="mrs_01_0473__i1516992417413">x</em> or earlier security cluster, external SSL is disabled by default. To enable external SSL, configure the parameter and run the script again. For details, see <span id="mrs_01_0473__ph118943810511"><a href="https://docs.otc.t-systems.com/cmpntguide/mrs/mrs_01_0594.html" target="_blank" rel="noopener noreferrer">Security Hardening</a></span>.</p>
+<div class="note" id="mrs_01_0473__note93103595527"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0473__ul18746101312719"><li id="mrs_01_0473__li174751310272">You do not need to manually generate the <strong id="mrs_01_0473__b1526252253018">generate_keystore.sh</strong> script.</li><li id="mrs_01_0473__li974711372719">After authentication and encryption, the generated <strong id="mrs_01_0473__b16417144971810">flink.keystore</strong>, <strong id="mrs_01_0473__b174282049181814">flink.truststore</strong>, and <strong id="mrs_01_0473__b6429154981818">security.cookie</strong> items are automatically filled in the corresponding configuration items in <span class="filepath" id="mrs_01_0473__filepath94301649151813"><b>flink-conf.yaml</b></span>.</li></ul>
+</div></div>
+</li><li id="mrs_01_0473__li173581132005">Configure paths for the client to access the <strong id="mrs_01_0473__b109747502534">flink.keystore</strong> and <strong id="mrs_01_0473__b697510502536">flink.truststore</strong> files.<ul id="mrs_01_0473__ul955713364211"><li id="mrs_01_0473__li355853618212">Absolute path: After the script is executed, the file path of <strong id="mrs_01_0473__b145921314304">flink.keystore</strong> and <strong id="mrs_01_0473__b759213312304">flink.truststore</strong> is automatically set to the absolute path <strong id="mrs_01_0473__b1359333153011">/opt/hadoopclient/Flink/flink/conf/</strong> in the <strong id="mrs_01_0473__b459314318306">flink-conf.yaml</strong> file. In this case, you need to move the <strong id="mrs_01_0473__b1359315318305">flink.keystore</strong> and <strong id="mrs_01_0473__b1459312317304">flink.truststore</strong> files from the <strong id="mrs_01_0473__b159463117308">conf</strong> directory to this absolute path on the Flink client and Yarn nodes.</li><li id="mrs_01_0473__li370920381229">Relative path: Perform the following steps to set the file path of <strong id="mrs_01_0473__b12814141014575">flink.keystore</strong> and <strong id="mrs_01_0473__b168142010155715">flink.truststore</strong> to the relative path and ensure that the directory where the Flink client command is executed can directly access the relative paths.<ol class="substepthirdol" id="mrs_01_0473__ol870917381216"><li id="mrs_01_0473__li10709238625">Create a directory, for example, <strong id="mrs_01_0473__b488651116319">ssl</strong>, in <strong id="mrs_01_0473__b14886111111317">/opt/hadoopclient/Flink/flink/conf/</strong>.<p id="mrs_01_0473__p2058520491568"><strong id="mrs_01_0473__b12778913145711">cd /opt/hadoopclient/Flink/flink/conf/</strong></p>
+<p id="mrs_01_0473__p152688575719"><strong id="mrs_01_0473__b19780111315572">mkdir ssl</strong></p>
+</li><li id="mrs_01_0473__li1170933811211">Move the <strong id="mrs_01_0473__b19225104015319">flink.keystore</strong> and <strong id="mrs_01_0473__b823114033111">flink.truststore</strong> files to the <strong id="mrs_01_0473__b1723218401314">/opt/hadoopclient/Flink/flink/conf/ssl/</strong> directory.<p id="mrs_01_0473__p1074535205711"><strong id="mrs_01_0473__b35315345580">mv flink.keystore ssl/</strong></p>
+<p id="mrs_01_0473__p64291255145720"><strong id="mrs_01_0473__b35371034115814">mv flink.truststore ssl/</strong></p>
+</li><li id="mrs_01_0473__li151356562119">Change the values of the following parameters to relative paths in the <strong id="mrs_01_0473__b565619533318">flink-conf.yaml</strong> file:<pre class="screen" id="mrs_01_0473__screen14431621182016">security.ssl.internal.keystore: ssl/flink.keystore
+security.ssl.internal.truststore: ssl/flink.truststore</pre>
+</li></ol>
+</li></ul>
+</li></ol>
+</p></li><li id="mrs_01_0473__li43014216812"><span>Run a wordcount job.</span><p><div class="notice" id="mrs_01_0473__note15492152974915"><span class="noticetitle"><img src="public_sys-resources/notice_3.0-en-us.png"> </span><div class="noticebody"><p id="mrs_01_0473__p12247143015119">To submit or run jobs on Flink, the user must have the following permissions:</p>
+<ul id="mrs_01_0473__ul92474309115"><li id="mrs_01_0473__li124833018119">If Ranger authentication is enabled, the current user must belong to the <strong id="mrs_01_0473__b68861779173">hadoop</strong> group or the user has been granted the <strong id="mrs_01_0473__b1736101717179">/flink</strong> read and write permissions in Ranger.</li><li id="mrs_01_0473__li0248133071118">If Ranger authentication is disabled, the current user must belong to the <strong id="mrs_01_0473__b4159202341912">hadoop</strong> group.</li></ul>
+</div></div>
+<ul id="mrs_01_0473__ul346719451784"><li id="mrs_01_0473__li325519443332">Normal cluster (Kerberos authentication disabled)<ul id="mrs_01_0473__ul7255244123310"><li id="mrs_01_0473__li4255444163312">Run the following commands to start a session and submit a job in the session:<p id="mrs_01_0473__p197831326101919"><a name="mrs_01_0473__li4255444163312"></a><a name="li4255444163312"></a><strong id="mrs_01_0473__b1334017352192">yarn-session.sh -nm "</strong><em id="mrs_01_0473__i1234353521911">session-name</em><strong id="mrs_01_0473__b83411735191911">"</strong></p>
+<p id="mrs_01_0473__p1778312266195"><strong id="mrs_01_0473__b117822261198">flink run /opt/hadoopclient/Flink/flink/examples/streaming/WordCount.jar</strong></p>
+</li><li id="mrs_01_0473__li7255114415335">Run the following command to submit a single job on Yarn:<p id="mrs_01_0473__p5565155191913"><a name="mrs_01_0473__li7255114415335"></a><a name="li7255114415335"></a><strong id="mrs_01_0473__b13565051101912">flink run -m yarn-cluster /opt/hadoopclient/Flink/flink/examples/streaming/WordCount.jar</strong></p>
+</li></ul>
+</li><li id="mrs_01_0473__li14467945786">Security cluster (Kerberos authentication enabled)<ul id="mrs_01_0473__ul185369348912"><li id="mrs_01_0473__li7855183017911">If the <strong id="mrs_01_0473__b78761822874">flink.keystore</strong> and <strong id="mrs_01_0473__b1788102217713">flink.truststore</strong> file are stored in the absolute path:<ul id="mrs_01_0473__ul1996520345101"><li id="mrs_01_0473__li3965334161017">Run the following commands to start a session and submit a job in the session:<p id="mrs_01_0473__p1076634618203"><a name="mrs_01_0473__li3965334161017"></a><a name="li3965334161017"></a><strong id="mrs_01_0473__b113965462016">yarn-session.sh -nm "</strong><em id="mrs_01_0473__i11411754142016">session-name</em><strong id="mrs_01_0473__b1613945412208">"</strong></p>
+<p id="mrs_01_0473__p676594612208"><strong id="mrs_01_0473__b876584652014">flink run /opt/hadoopclient/Flink/flink/examples/streaming/WordCount.jar</strong></p>
+</li><li id="mrs_01_0473__li149651734171016">Run the following command to submit a single job on Yarn:<p id="mrs_01_0473__p1910611112119"><a name="mrs_01_0473__li149651734171016"></a><a name="li149651734171016"></a><strong id="mrs_01_0473__b2010621172111">flink run -m yarn-cluster /opt/hadoopclient/Flink/flink/examples/streaming/WordCount.jar</strong></p>
+</li></ul>
+</li><li id="mrs_01_0473__li13754134017107">If the <strong id="mrs_01_0473__b524013611911">flink.keystore</strong> and <strong id="mrs_01_0473__b132451961298">flink.truststore</strong> files are stored in the relative path:<ul id="mrs_01_0473__ul1477219408108"><li id="mrs_01_0473__li7771174051014">In the same directory of SSL, run the following commands to start a session and submit jobs in the session. The SSL directory is a relative path. For example, if the SSL directory is <strong id="mrs_01_0473__b7193104516322">opt/hadoopclient/Flink/flink/conf/</strong>, then run the following commands in this directory:<p id="mrs_01_0473__p111826102213"><strong id="mrs_01_0473__b1256619397210">yarn-session.sh -t ssl/ -nm "</strong><em id="mrs_01_0473__i19584193972117">session-name</em><strong id="mrs_01_0473__b1456617398214">"</strong></p>
+<p id="mrs_01_0473__p121821510102111"><strong id="mrs_01_0473__b1818212106216">flink run /opt/hadoopclient/Flink/flink/examples/streaming/WordCount.jar</strong></p>
+</li><li id="mrs_01_0473__li87721640181013">Run the following command to submit a single job on Yarn:<p id="mrs_01_0473__p56611620152116"><a name="mrs_01_0473__li87721640181013"></a><a name="li87721640181013"></a><strong id="mrs_01_0473__b466122082112">flink run -m yarn-cluster -yt ssl/ /opt/hadoopclient/Flink/flink/examples/streaming/WordCount.jar</strong></p>
+</li></ul>
+</li></ul>
+</li></ul>
+</p></li><li id="mrs_01_0473__li17288428133"><span>After the job has been successfully submitted, the following information is displayed on the client:</span><p><div class="fignone" id="mrs_01_0473__fig7572041542"><span class="figcap"><b>Figure 1 </b>Job submitted successfully on Yarn</span><br><span><img id="mrs_01_0473__image1380945213307" src="en-us_image_0000001349289933.png"></span></div>
+<div class="fignone" id="mrs_01_0473__fig2211144410227"><span class="figcap"><b>Figure 2 </b>Session started successfully</span><br><span><img id="mrs_01_0473__image6736162611818" src="en-us_image_0000001349289937.png"></span></div>
+<div class="fignone" id="mrs_01_0473__fig1343995812714"><span class="figcap"><b>Figure 3 </b>Job submitted successfully in the session</span><br><span><img id="mrs_01_0473__image11803145571917" src="en-us_image_0000001295930780.png"></span></div>
+</p></li><li id="mrs_01_0473__li09212438188"><span>Go to the native YARN service page, find the application of the job, and click the application name to go to the job details page. For details, see <span id="mrs_01_0473__ph63412418173"><a href="https://docs.otc.t-systems.com/cmpntguide/mrs/mrs_01_0784.html" target="_blank" rel="noopener noreferrer">Viewing Flink Job Information</a></span>.</span><p><ul id="mrs_01_0473__ul19954161472312"><li id="mrs_01_0473__li1595421420238">If the job is not completed, click <strong id="mrs_01_0473__b18904103212216">Tracking URL</strong> to go to the native Flink page and view the job running information.</li><li id="mrs_01_0473__li495411417238">If the job submitted in a session has been completed, you can click <strong id="mrs_01_0473__b2874121810599">Tracking URL</strong> to log in to the native Flink service page to view job information.<div class="fignone" id="mrs_01_0473__fig1043856121716"><span class="figcap"><b>Figure 4 </b>Application</span><br><span><img id="mrs_01_0473__image9297203618279" src="en-us_image_0000001439150893.png"></span></div>
+</li></ul>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0473__section1160381713011"><h4 class="sectiontitle">Using the Flink Client (MRS 3.x or Later)</h4><ol id="mrs_01_0473__ol113322571308"><li id="mrs_01_0473__li1733395773011"><span>Log in to the node where the client is installed as the client installation user.</span></li><li id="mrs_01_0473__li152512427244"><span>Run the following command to go to the client installation directory:</span><p><p id="mrs_01_0473__p6252114252417"><strong id="mrs_01_0473__b4252142172412">cd /opt/hadoopclient</strong></p>
+</p></li><li id="mrs_01_0473__li53331757123013"><span>Run the following command to initialize environment variables:</span><p><p id="mrs_01_0473__p933312571307"><b><span class="cmdname" id="mrs_01_0473__cmdname73338575306">source /opt/hadoopclient/bigdata_env</span></b></p>
+</p></li><li id="mrs_01_0473__li33331457203014"><span>If Kerberos authentication is enabled for the cluster, perform the following steps. If not, skip this whole step.</span><p><ol type="a" id="mrs_01_0473__ol17333457103012"><li id="mrs_01_0473__li20333185716302">Prepare a user for submitting Flink jobs.</li><li id="mrs_01_0473__li833445710304">Log in to Manager and download the authentication credential.<p id="mrs_01_0473__p15647122144119"><a name="mrs_01_0473__li833445710304"></a><a name="li833445710304"></a>Log in to Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. Choose <strong id="mrs_01_0473__b8326183743918">System</strong> &gt; <strong id="mrs_01_0473__b6326183793920">Permission</strong> &gt; <strong id="mrs_01_0473__b1326133715394">Manage User</strong>. On the displayed page, locate the row that contains the added user, click <strong id="mrs_01_0473__b53268378391">More</strong> in the <strong id="mrs_01_0473__b123271237193918">Operation</strong> column, and select <strong id="mrs_01_0473__b232723714393">Download authentication credential</strong>.</p>
+</li><li id="mrs_01_0473__li16334205720304">Decompress the downloaded authentication credential package and copy the <strong id="mrs_01_0473__b1075741809">user.keytab</strong> file to the client node, for example, to the <span class="filepath" id="mrs_01_0473__filepath153341157173013"><b>/opt/hadoopclient/Flink/flink/conf</b></span> directory on the client node. If the client is installed on a node outside the cluster, copy the <strong id="mrs_01_0473__b39268780">krb5.conf</strong> file to the <strong id="mrs_01_0473__b324222745">/etc/</strong> directory on this node.</li><li id="mrs_01_0473__li1966731417196">Append the service IP address of the node where the client is installed, floating IP address of Manager, and IP address of the master node to the <strong id="mrs_01_0473__b115620306572">jobmanager.web.access-control-allow-origin</strong> and <strong id="mrs_01_0473__b1635171102317">jobmanager.web.allow-access-address</strong> configuration item in the <strong id="mrs_01_0473__b71561530115718">/opt/hadoopclient/Flink/flink/conf/flink-conf.yaml</strong> file. Use commas (,) to separate IP addresses.<pre class="screen" id="mrs_01_0473__screen161072058112210">jobmanager.web.access-control-allow-origin: <em id="mrs_01_0473__i19107155819226">xx.xx.xxx.xxx</em>,<em id="mrs_01_0473__i9258143382713">xx.xx.xxx.xxx</em>,<em id="mrs_01_0473__i839663411278">xx.xx.xxx.xxx</em>
+jobmanager.web.allow-access-address: <em id="mrs_01_0473__i1710735812221">xx.xx.xxx.xxx</em>,<em id="mrs_01_0473__i15162384275">xx.xx.xxx.xxx</em>,<em id="mrs_01_0473__i137311391272">xx.xx.xxx.xxx</em></pre>
+<div class="note" id="mrs_01_0473__note1344815262211"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0473__ul20448205212212"><li id="mrs_01_0473__li2448105210225">To obtain the service IP address of the node where the client is installed, perform the following operations:<ul id="mrs_01_0473__ul10448125211221"><li id="mrs_01_0473__li64481652162212">Node inside the cluster:<p id="mrs_01_0473__p04471452132210"><a name="mrs_01_0473__li64481652162212"></a><a name="li64481652162212"></a>In the navigation tree of the MRS management console, choose <span class="uicontrol" id="mrs_01_0473__uicontrol142906190331827"><b>Clusters &gt; Active Clusters</b></span>, select a cluster, and click its name to switch to the cluster details page.</p>
+<p id="mrs_01_0473__p1244825282217">On the <strong id="mrs_01_0473__b20538843133413">Nodes</strong> tab page, view the IP address of the node where the client is installed.</p>
+</li><li id="mrs_01_0473__li0448175211229">Node outside the cluster: IP address of the ECS where the client is installed.</li></ul>
+</li><li id="mrs_01_0473__li19448252112213">To obtain the floating IP address of Manager, perform the following operations:<ul id="mrs_01_0473__ul4448195232218"><li id="mrs_01_0473__li044835202218">In the navigation tree of the MRS management console, choose <span class="uicontrol" id="mrs_01_0473__uicontrol5707124133714"><b>Clusters &gt; Active Clusters</b></span>, select a cluster, and click its name to switch to the cluster details page.<p id="mrs_01_0473__p44484526225">On the <strong id="mrs_01_0473__b114301229143717">Nodes</strong> tab page, view the <strong id="mrs_01_0473__b1943572953719">Name</strong>. The node that contains <strong id="mrs_01_0473__b1043542913712">master1</strong> in its name is the Master1 node. The node that contains <strong id="mrs_01_0473__b4436729173716">master2</strong> in its name is the Master2 node.</p>
+</li></ul>
+<ul id="mrs_01_0473__ul544835272214"><li id="mrs_01_0473__li12448155252214">Log in to the Master2 node remotely, and run the <strong id="mrs_01_0473__b23132356731827">ifconfig</strong> command. In the command output, <strong id="mrs_01_0473__b92255447131827">eth0:wsom</strong> indicates the floating IP address of MRS Manager. Record the value of <strong id="mrs_01_0473__b180334352131827">inet</strong>. If the floating IP address of MRS Manager cannot be queried on the Master2 node, switch to the Master1 node to query and record the floating IP address. If there is only one Master node, query and record the cluster manager IP address of the Master node.</li></ul>
+</li></ul>
+</div></div>
+</li><li id="mrs_01_0473__li133495753011">Configure security authentication by adding the <strong id="mrs_01_0473__b11651629111">keytab</strong> path and username in the <strong id="mrs_01_0473__b01652021711">/opt/hadoopclient/Flink/flink/conf/flink-conf.yaml</strong> configuration file.<p id="mrs_01_0473__p20334205793011"><strong id="mrs_01_0473__b1359440071">security.kerberos.login.keytab: </strong><em id="mrs_01_0473__i108123442">&lt;user.keytab file path&gt;</em></p>
+<p id="mrs_01_0473__p03351657103018"><strong id="mrs_01_0473__b509549175">security.kerberos.login.principal: </strong><em id="mrs_01_0473__i517153231">&lt;Username&gt;</em></p>
+<p id="mrs_01_0473__p15335185733015">Example:</p>
+<p id="mrs_01_0473__p1133575703016">security.kerberos.login.keytab: /opt/hadoopclient/Flink/flink/conf/user.keytab</p>
+<p id="mrs_01_0473__p1633515710303">security.kerberos.login.principal: test</p>
+</li><li id="mrs_01_0473__li83351457113016">Generate the <strong id="mrs_01_0473__b8539956193818">generate_keystore.sh</strong> script and place it in the <strong id="mrs_01_0473__b20540156103813">bin</strong> directory of the Flink client.  In the <strong id="mrs_01_0473__b455545617389">bin</strong> directory of the Flink client, run the following command to perform security hardening. For details, see <span id="mrs_01_0473__ph1656815565384"><a href="https://docs.otc.t-systems.com/cmpntguide/mrs/mrs_01_1583.html" target="_blank" rel="noopener noreferrer">Authentication and Encryption</a></span>. Set <strong id="mrs_01_0473__b19568456123816">password</strong> in the following command to a password for submitting jobs:<p id="mrs_01_0473__p13335057183010"><strong id="mrs_01_0473__b1233505716309">sh generate_keystore.sh &lt;<em id="mrs_01_0473__i23351257103012">password</em>&gt;</strong></p>
+<p id="mrs_01_0473__p13335205753018">The script automatically replaces the SSL value in the <strong id="mrs_01_0473__b6645247134117">/opt/hadoopclient/Flink/flink/conf/flink-conf.yaml</strong> file.</p>
+<p id="mrs_01_0473__p1936162285618"><strong id="mrs_01_0473__b23611622105611">sh generate_keystore.sh &lt;<em id="mrs_01_0473__i736116225562">password</em>&gt;</strong></p>
+<div class="note" id="mrs_01_0473__note33361357113017"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><div class="p" id="mrs_01_0473__p922342252312">After authentication and encryption, the <span class="filepath" id="mrs_01_0473__filepath611046175216"><b>flink.keystore</b></span> and <span class="filepath" id="mrs_01_0473__filepath2110269526"><b>flink.truststore</b></span> files are generated in the <strong id="mrs_01_0473__b911146155211">conf</strong> directory on the Flink client and the following configuration items are set to the default values in the <strong id="mrs_01_0473__b108937913534">flink-conf.yaml</strong> file:<ul id="mrs_01_0473__ul89714582189"><li id="mrs_01_0473__li199711758121813">Set <span class="parmname" id="mrs_01_0473__parmname14845443502945"><b>security.ssl.keystore</b></span> to the absolute path of the <span class="filepath" id="mrs_01_0473__filepath130164191002945"><b>flink.keystore</b></span> file.</li><li id="mrs_01_0473__li103211421910">Set <span class="parmname" id="mrs_01_0473__parmname113980033302945"><b>security.ssl.truststore</b></span> to the absolute path of the <span class="filepath" id="mrs_01_0473__filepath130465322902945"><b>flink.truststore</b></span> file.</li></ul>
+<ul id="mrs_01_0473__ul967157151910"><li id="mrs_01_0473__li16719718197">Set <strong id="mrs_01_0473__b56252958602945">security.cookie</strong> to a random password automatically generated by the <strong id="mrs_01_0473__b134451104202945">generate_keystore.sh</strong> script.</li><li id="mrs_01_0473__li83115101193">By default, <strong id="mrs_01_0473__b48304986302945">security.ssl.encrypt.enabled</strong> is set to <strong id="mrs_01_0473__b1959420973211">false</strong> in the <strong id="mrs_01_0473__b102365698902945">flink-conf.yaml</strong> file by default. The <strong id="mrs_01_0473__b18423148902945">generate_keystore.sh</strong> script sets <strong id="mrs_01_0473__b65165231502945">security.ssl.key-password</strong>, <strong id="mrs_01_0473__b181792140702945">security.ssl.keystore-password</strong>, and <strong id="mrs_01_0473__b133977440502945">security.ssl.truststore-password</strong> to the password entered when the <strong id="mrs_01_0473__b48245844902945">generate_keystore.sh</strong> script is called.</li></ul>
+<ul id="mrs_01_0473__ul98721361913"><li id="mrs_01_0473__li987171319191">For MRS 3.<em id="mrs_01_0473__i102612524489">x</em> or later, if ciphertext is required and <strong id="mrs_01_0473__b426205224819">security.ssl.encrypt.enabled</strong> is set to <strong id="mrs_01_0473__b02625294818">true</strong> in the <strong id="mrs_01_0473__b827115213486">flink-conf.yaml</strong> file, the <strong id="mrs_01_0473__b22720523483">generate_keystore.sh</strong> script does not set <strong id="mrs_01_0473__b112745264810">security.ssl.key-password</strong>, <strong id="mrs_01_0473__b52714528486">security.ssl.keystore-password</strong>, and <strong id="mrs_01_0473__b2271052154816">security.ssl.truststore-password</strong>. To obtain the values, use the Manager plaintext encryption API by running <strong id="mrs_01_0473__b1327175213489">curl -k -i -u </strong><em id="mrs_01_0473__i122875294815">Username</em><strong id="mrs_01_0473__b15281520486">:</strong><em id="mrs_01_0473__i11289527483">Password</em><strong id="mrs_01_0473__b0289528482"> -X POST -HContent-type:application/json  -d '{"plainText":"</strong><em id="mrs_01_0473__i928175219481">Password</em><strong id="mrs_01_0473__b12281952194818">"}' 'https://</strong><em id="mrs_01_0473__i1728752194820">x.x.x.x</em><strong id="mrs_01_0473__b112985212487">:28443/web/api/v2/tools/encrypt'</strong>.<p id="mrs_01_0473__p9490344151413">In the preceding command, <em id="mrs_01_0473__i19443430602945">Username</em><strong id="mrs_01_0473__b28958321702945">:</strong><em id="mrs_01_0473__i169507529002945">Password</em> indicates the user name and password for logging in to the system. The password of <strong id="mrs_01_0473__b138077002702945">"plainText"</strong> indicates the one used to call the <strong id="mrs_01_0473__b187584138102945">generate_keystore.sh</strong> script. <em id="mrs_01_0473__i180426901302945">x.x.x.x</em> indicates the floating IP address of Manager.</p>
+</li></ul>
+</div>
+</div></div>
+</li><li id="mrs_01_0473__li1633718578306">Configure paths for the client to access the <strong id="mrs_01_0473__b19625050">flink.keystore</strong> and <strong id="mrs_01_0473__b1536252530">flink.truststore</strong> files.<ul id="mrs_01_0473__ul9337115713309"><li id="mrs_01_0473__li133755793018">Absolute path: After the script is executed, the file path of <strong id="mrs_01_0473__b944820122120">flink.keystore</strong> and <strong id="mrs_01_0473__b8454812814">flink.truststore</strong> is automatically set to the absolute path <strong id="mrs_01_0473__b14454181212114">/opt/hadoopclient/Flink/flink/conf/</strong> in the <strong id="mrs_01_0473__b1945419121116">flink-conf.yaml</strong> file. In this case, you need to move the <strong id="mrs_01_0473__b14454612111">flink.keystore</strong> and <strong id="mrs_01_0473__b645411126115">flink.truststore</strong> files from the <strong id="mrs_01_0473__b445519128115">conf</strong> directory to this absolute path on the Flink client and Yarn nodes.</li><li id="mrs_01_0473__li1833712578307">Relative path: Perform the following steps to set the file path of <strong id="mrs_01_0473__b982394273">flink.keystore</strong> and <strong id="mrs_01_0473__b1207022704">flink.truststore</strong> to the relative path and ensure that the directory where the Flink client command is executed can directly access the relative paths.<ol class="substepthirdol" id="mrs_01_0473__ol433715570300"><li id="mrs_01_0473__li19337195716308">Create a directory, for example, <strong id="mrs_01_0473__b1873515204116">ssl</strong>, in <strong id="mrs_01_0473__b1574116204110">/opt/hadoopclient/Flink/flink/conf/</strong>.<p id="mrs_01_0473__p113733811110"><strong id="mrs_01_0473__b1537938614">cd /opt/hadoopclient/Flink/flink/conf/</strong></p>
+<p id="mrs_01_0473__p2377386114"><strong id="mrs_01_0473__b1138133814117">mkdir ssl</strong></p>
+</li><li id="mrs_01_0473__li1333725710307">Move the <strong id="mrs_01_0473__b43521528816">flink.keystore</strong> and <strong id="mrs_01_0473__b1835817281718">flink.truststore</strong> files to the <strong id="mrs_01_0473__b8358428813">/opt/hadoopclient/Flink/flink/conf/ssl/</strong> directory.<p id="mrs_01_0473__p915085716118"><strong id="mrs_01_0473__b191504571112">mv flink.keystore ssl/</strong></p>
+<p id="mrs_01_0473__p1150185714118"><strong id="mrs_01_0473__b1315025715114">mv flink.truststore ssl/</strong></p>
+</li><li id="mrs_01_0473__li7337195753011">Change the values of the following parameters to relative paths in the <strong id="mrs_01_0473__b39614149425">flink-conf.yaml</strong> file:<pre class="screen" id="mrs_01_0473__screen333775712308">security.ssl.keystore: ssl/flink.keystore
+security.ssl.truststore: ssl/flink.truststore</pre>
+</li></ol>
+</li></ul>
+</li></ol>
+</p></li><li id="mrs_01_0473__li933835753012"><span>Run a wordcount job.</span><p><div class="notice" id="mrs_01_0473__note633817574302"><span class="noticetitle"><img src="public_sys-resources/notice_3.0-en-us.png"> </span><div class="noticebody"><p id="mrs_01_0473__p14338157153018">To submit or run jobs on Flink, the user must have the following permissions:</p>
+<ul id="mrs_01_0473__ul11338155715300"><li id="mrs_01_0473__li7338357193020">If Ranger authentication is enabled, the current user must belong to the <strong id="mrs_01_0473__b480438346">hadoop</strong> group or the user has been granted the <strong id="mrs_01_0473__b896587505">/flink</strong> read and write permissions in Ranger.</li><li id="mrs_01_0473__li163389576308">If Ranger authentication is disabled, the current user must belong to the <strong id="mrs_01_0473__b108133453">hadoop</strong> group.</li></ul>
+</div></div>
+<ul id="mrs_01_0473__ul15338205763016"><li id="mrs_01_0473__li733811570308">Normal cluster (Kerberos authentication disabled)<ul id="mrs_01_0473__ul9338105723018"><li id="mrs_01_0473__li8338757133020">Run the following commands to start a session and submit a job in the session:<p id="mrs_01_0473__p1342823442319"><a name="mrs_01_0473__li8338757133020"></a><a name="li8338757133020"></a><strong id="mrs_01_0473__b17975193511241">yarn-session.sh -nm "</strong><em id="mrs_01_0473__i13993173514241">session-name</em><strong id="mrs_01_0473__b5976143517240">"</strong></p>
+<p id="mrs_01_0473__p13428934122320"><strong id="mrs_01_0473__b1428163472317">flink run /opt/hadoopclient/Flink/flink/examples/streaming/WordCount.jar</strong></p>
+</li><li id="mrs_01_0473__li533815718304">Run the following command to submit a single job on Yarn:<p id="mrs_01_0473__p1473934162314"><a name="mrs_01_0473__li533815718304"></a><a name="li533815718304"></a><strong id="mrs_01_0473__b6739194152312">flink run -m yarn-cluster /opt/hadoopclient/Flink/flink/examples/streaming/WordCount.jar</strong></p>
+</li></ul>
+</li><li id="mrs_01_0473__li163391557193019">Security cluster (Kerberos authentication enabled)<ul id="mrs_01_0473__ul1833985716309"><li id="mrs_01_0473__li19339115715308">If the <strong id="mrs_01_0473__b385019017">flink.keystore</strong> and <strong id="mrs_01_0473__b1217591367">flink.truststore</strong> files are stored in the absolute path:<ul id="mrs_01_0473__ul173396576303"><li id="mrs_01_0473__li19339657143012">Run the following commands to start a session and submit a job in the session:<p id="mrs_01_0473__p6964104862317"><a name="mrs_01_0473__li19339657143012"></a><a name="li19339657143012"></a><strong id="mrs_01_0473__b14917122416249">yarn-session.sh -nm "</strong><em id="mrs_01_0473__i2091920241249">session-name</em><strong id="mrs_01_0473__b9917112413242">"</strong></p>
+<p id="mrs_01_0473__p0964184818235"><strong id="mrs_01_0473__b596474813233">flink run /opt/hadoopclient/Flink/flink/examples/streaming/WordCount.jar</strong></p>
+</li><li id="mrs_01_0473__li733916578303">Run the following command to submit a single job on Yarn:<p id="mrs_01_0473__p5681185620234"><a name="mrs_01_0473__li733916578303"></a><a name="li733916578303"></a><strong id="mrs_01_0473__b18681115610239">flink run -m yarn-cluster /opt/hadoopclient/Flink/flink/examples/streaming/WordCount.jar</strong></p>
+</li></ul>
+</li><li id="mrs_01_0473__li5339105712304">If the <strong id="mrs_01_0473__b1991377813">flink.keystore</strong> and <strong id="mrs_01_0473__b294345740">flink.truststore</strong> file are stored in the relative path:<ul id="mrs_01_0473__ul534018571301"><li id="mrs_01_0473__li2034055717309">In the same directory of SSL, run the following commands to start a session and submit jobs in the session. The SSL directory is a relative path. For example, if the SSL directory is <strong id="mrs_01_0473__b134475451618">opt/hadoopclient/Flink/flink/conf/</strong>, then run the following commands in this directory:<p id="mrs_01_0473__p139937212243"><strong id="mrs_01_0473__b17328201715243">yarn-session.sh -t ssl/ -nm "</strong><em id="mrs_01_0473__i10330151710246">session-name</em><strong id="mrs_01_0473__b632861710249">"</strong></p>
+<p id="mrs_01_0473__p10993422248"><strong id="mrs_01_0473__b18993112142413">flink run /opt/hadoopclient/Flink/flink/examples/streaming/WordCount.jar</strong></p>
+</li><li id="mrs_01_0473__li9340857183018">Run the following command to submit a single job on Yarn:<p id="mrs_01_0473__p12536121016249"><a name="mrs_01_0473__li9340857183018"></a><a name="li9340857183018"></a><strong id="mrs_01_0473__b14536410202414">flink run -m yarn-cluster -yt ssl/ /opt/hadoopclient/Flink/flink/examples/streaming/WordCount.jar</strong></p>
+</li></ul>
+</li></ul>
+</li></ul>
+</p></li><li id="mrs_01_0473__li1340195713300"><span>After the job has been successfully submitted, the following information is displayed on the client:</span><p><div class="fignone" id="mrs_01_0473__fig15340185743012"><span class="figcap"><b>Figure 5 </b>Job submitted successfully on Yarn</span><br><span><img id="mrs_01_0473__image153406577305" src="en-us_image_0000001349090457.png"></span></div>
+<div class="fignone" id="mrs_01_0473__fig203401757133017"><span class="figcap"><b>Figure 6 </b>Session started successfully</span><br><span><img id="mrs_01_0473__image1234055711304" src="en-us_image_0000001349170353.png"></span></div>
+<div class="fignone" id="mrs_01_0473__fig03403579301"><span class="figcap"><b>Figure 7 </b>Job submitted successfully in the session</span><br><span><img id="mrs_01_0473__image1934075793011" src="en-us_image_0000001348770649.png"></span></div>
+</p></li><li id="mrs_01_0473__li1334075703011"><span>Go to the native YARN service page, find the application of the job, and click the application name to go to the job details page. For details, see <span id="mrs_01_0473__ph193408576309"><a href="https://docs.otc.t-systems.com/cmpntguide/mrs/mrs_01_0784.html" target="_blank" rel="noopener noreferrer">Viewing Flink Job Information</a><span id="mrs_01_0473__ph12479827195012"></span></span>.</span><p><ul id="mrs_01_0473__ul234118572307"><li id="mrs_01_0473__li14341157183013">If the job is not completed, click <strong id="mrs_01_0473__b52268204">Tracking URL</strong> to go to the native Flink page and view the job running information.</li><li id="mrs_01_0473__li1934155773015">If the job submitted in a session has been completed, you can click <strong id="mrs_01_0473__b1046313317214">Tracking URL</strong> to log in to the native Flink service page to view job information.<div class="fignone" id="mrs_01_0473__fig12341157133015"><span class="figcap"><b>Figure 8 </b>Application</span><br><span><img id="mrs_01_0473__image63529265287" src="en-us_image_0000001438951649.png"></span></div>
+</li></ul>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0591.html">Using Flink</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0500.html b/docs/mrs/component-operation-guide/mrs_01_0500.html
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+<a name="mrs_01_0500"></a><a name="mrs_01_0500"></a>
+
+<h1 class="topictitle1">Using HBase</h1>
+<div id="body1589421622593"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_0368.html">Using HBase from Scratch</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="bakmrs_01_0368.html">Using an HBase Client</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1608.html">Creating HBase Roles</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0501.html">Configuring HBase Replication</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0443.html">Configuring HBase Parameters</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0502.html">Enabling Cross-Cluster Copy</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0510.html">Using the ReplicationSyncUp Tool</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24119.html">GeoMesa Command Line</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1609.html">Configuring HBase DR</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24112.html">Configuring HBase Data Compression and Encoding</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1610.html">Performing an HBase DR Service Switchover</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1611.html">Performing an HBase DR Active/Standby Cluster Switchover</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1612.html">Community BulkLoad Tool</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1631.html">Configuring the MOB</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1009.html">Configuring Secure HBase Replication</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1010.html">Configuring Region In Transition Recovery Chore Service</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1056.html">HBase Log Overview</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1013.html">HBase Performance Tuning</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1638.html">Common Issues About HBase</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0501.html b/docs/mrs/component-operation-guide/mrs_01_0501.html
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+<a name="mrs_01_0501"></a><a name="mrs_01_0501"></a>
+
+<h1 class="topictitle1">Configuring HBase Replication</h1>
+<div id="body1589421623825"><div class="section" id="mrs_01_0501__section55510827154955"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0501__p83168154955">As a key feature to ensure high availability of the HBase cluster system, HBase cluster replication provides HBase with remote data replication in real time. It provides basic O&amp;M tools, including tools for maintaining and re-establishing active/standby relationships, verifying data, and querying data synchronization progress. To achieve real-time data replication, you can replicate data from the HBase cluster to another one. </p>
+</div>
+<div class="section" id="mrs_01_0501__section748518154955"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_0501__ul60630031154955"><li id="mrs_01_0501__li8799372154955">The active and standby clusters have been successfully installed and started (the cluster status is <strong id="mrs_01_0501__b19570111213419">Running</strong> on the <strong id="mrs_01_0501__b95705126414">Active Clusters</strong> page), and you have the administrator rights of the clusters.</li></ul>
+</div>
+<ul id="mrs_01_0501__ul12085484154955"><li id="mrs_01_0501__li41660498154955">The network between the active and standby clusters is normal and ports can be used properly.</li><li id="mrs_01_0501__li39400166154955">Cross-cluster mutual trust has been configured. For details, see <a href="https://docs.otc.t-systems.com/usermanual/mrs/mrs_01_0354.html" target="_blank" rel="noopener noreferrer">Configuring Cross-Cluster Mutual Trust Relationships</a>. </li><li id="mrs_01_0501__li27466911181447">If historical data exists in the active cluster and needs to be synchronized to the standby cluster, cross-cluster replication must be configured for the active and standby clusters. For details, see <a href="mrs_01_0502.html">Enabling Cross-Cluster Copy</a>.</li><li id="mrs_01_0501__li37296868154955">Time is consistent between the active and standby clusters and the Network Time Protocol (NTP) service on the active and standby clusters uses the same time source.</li><li id="mrs_01_0501__li127496154955">Mapping relationships between the names of all hosts in the active and standby clusters and service IP addresses have been configured in the <span class="filepath" id="mrs_01_0501__filepath17461135918131"><b>/etc/hosts</b></span> file by appending <strong id="mrs_01_0501__b168494714716">192.***.***.*** host1</strong> to the <strong id="mrs_01_0501__b73931611184710">hosts</strong> file.</li><li id="mrs_01_0501__li1147471154955">The network bandwidth between the active and standby clusters is determined based on service volume, which cannot be less than the possible maximum service volume.</li></ul>
+<div class="section" id="mrs_01_0501__section10327240154955"><h4 class="sectiontitle">Constraints</h4><ul id="mrs_01_0501__ul31200129154955"><li id="mrs_01_0501__li12365706154955">Despite that HBase cluster replication provides the real-time data replication function, the data synchronization progress is determined by several factors, such as the service loads in the active cluster and the health status of processes in the standby cluster. In normal cases, the standby cluster should not take over services. In extreme cases, system maintenance personnel and other decision makers determine whether the standby cluster takes over services according to the current data synchronization indicators.</li></ul>
+</div>
+<ul id="mrs_01_0501__ul44182490154955"><li id="mrs_01_0501__li62098090154955">Currently, the replication function supports only one active cluster and one standby cluster in HBase.</li><li id="mrs_01_0501__li22011899154955">Typically, do not perform operations on data synchronization tables in the standby cluster, such as modifying table properties or deleting tables. If any misoperation on the standby cluster occurs, data synchronization between the active and standby clusters will fail and data of the corresponding table in the standby cluster will be lost.</li><li id="mrs_01_0501__li63889366154955">If the replication function of HBase tables in the active cluster is enabled for data synchronization, after modifying the structure of a table in the active cluster, you need to manually modify the structure of the corresponding table in the standby cluster to ensure table structure consistency.</li></ul>
+<div class="section" id="mrs_01_0501__section38133389154955"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_0501__p1796791154955"><strong id="mrs_01_0501__b210750102219">Enable the replication function for the active cluster to synchronize data written by Put.</strong></p>
+</div>
+<ol id="mrs_01_0501__ol11322402154955"><li id="mrs_01_0501__li155891430132615"><a name="mrs_01_0501__li155891430132615"></a><a name="li155891430132615"></a><span>Log in to the service page.</span><p><p id="mrs_01_0501__p1528815213240">For versions earlier than MRS 1.9.2: Log in to <a href="https://docs.otc.t-systems.com/usermanual/mrs/mrs_01_0102.html" target="_blank" rel="noopener noreferrer">MRS Manager</a>, and choose <strong id="mrs_01_0501__b25913815159">Services</strong>.</p>
+<p id="mrs_01_0501__p463355062416">For MRS 1.9.2 or later: Click the cluster name on the MRS console and choose <strong id="mrs_01_0501__b046217256434">Components</strong>.</p>
+</p></li><li id="mrs_01_0501__li1966213718714"><span>Go to the <strong id="mrs_01_0501__b17128165751013">All Configurations</strong> page of the HBase service. For details, see <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</span><p><div class="note" id="mrs_01_0501__note3349205551313"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0501__p1832113512387">For clusters of MRS 1.9.2 or later:</p>
+<p id="mrs_01_0501__p158007468574">If the <strong id="mrs_01_0501__b396711645817">Components</strong> tab is unavailable, complete IAM user synchronization first. (On the <strong id="mrs_01_0501__b169672016175814">Dashboard</strong> page, click <strong id="mrs_01_0501__b7967516195814">Synchronize</strong> on the right side of <span class="parmname" id="mrs_01_0501__parmname896718168583"><b>IAM User Sync</b></span> to synchronize IAM users.)</p>
+</div></div>
+</p></li><li id="mrs_01_0501__li66750118154955"><span>Choose <strong id="mrs_01_0501__b04661948202219">RegionServer</strong> &gt; <strong id="mrs_01_0501__b94719483225">Replication</strong> and check whether the value of <strong id="mrs_01_0501__b104710486220">hbase.replication</strong> is <strong id="mrs_01_0501__b204721348172220">true</strong>. If the value is <strong id="mrs_01_0501__b15205218236">false</strong>, set <strong id="mrs_01_0501__b42114252318">hbase.replication</strong> to <strong id="mrs_01_0501__b32112182310">true</strong>.</span><p><div class="note" id="mrs_01_0501__note167051426175"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0501__p070504201710">In MRS 2.<em id="mrs_01_0501__i115350715123">x</em>, this configuration has been removed. Skip this step.</p>
+</div></div>
+</p></li><li id="mrs_01_0501__li63880153154955"><span>(Optional) Set configuration items listed in <a href="#mrs_01_0501__table6909942154955">Table 1</a>. You can set the parameters based on the description or use the default values.</span><p>
+<div class="tablenoborder"><a name="mrs_01_0501__table6909942154955"></a><a name="table6909942154955"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0501__table6909942154955" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Optional configuration items</caption><thead align="left"><tr id="mrs_01_0501__row52059452154955"><th align="left" class="cellrowborder" valign="top" width="18.98%" id="mcps1.3.7.4.2.1.2.5.1.1"><p id="mrs_01_0501__p56066123154955">Navigation Path</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="28.01%" id="mcps1.3.7.4.2.1.2.5.1.2"><p id="mrs_01_0501__p45062147154955">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="13.350000000000001%" id="mcps1.3.7.4.2.1.2.5.1.3"><p id="mrs_01_0501__p26155275154955">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="39.660000000000004%" id="mcps1.3.7.4.2.1.2.5.1.4"><p id="mrs_01_0501__p38202507154955">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0501__row7395372154955"><td class="cellrowborder" rowspan="2" valign="top" width="18.98%" headers="mcps1.3.7.4.2.1.2.5.1.1 "><p id="mrs_01_0501__p62154261154955">HMaster &gt; Performance</p>
+</td>
+<td class="cellrowborder" valign="top" width="28.01%" headers="mcps1.3.7.4.2.1.2.5.1.2 "><p id="mrs_01_0501__p1330415154955">hbase.master.logcleaner.ttl</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.350000000000001%" headers="mcps1.3.7.4.2.1.2.5.1.3 "><p id="mrs_01_0501__p40654818154955">600000</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.660000000000004%" headers="mcps1.3.7.4.2.1.2.5.1.4 "><p id="mrs_01_0501__p4705941154955">Time to live (TTL) of HLog files. If the value is set to <strong id="mrs_01_0501__b187151463248">604800000</strong> (unit: millisecond), the retention period of HLog is 7 days.</p>
+</td>
+</tr>
+<tr id="mrs_01_0501__row42353470154955"><td class="cellrowborder" valign="top" headers="mcps1.3.7.4.2.1.2.5.1.1 "><p id="mrs_01_0501__p8079028154955">hbase.master.cleaner.interval</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.7.4.2.1.2.5.1.2 "><p id="mrs_01_0501__p50421568154955">60000</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.7.4.2.1.2.5.1.3 "><p id="mrs_01_0501__p57615175154955">Interval for the HMaster to delete historical HLog files. The HLog that exceeds the configured period will be automatically deleted. You are advised to set it to the maximum value to save more HLogs.</p>
+</td>
+</tr>
+<tr id="mrs_01_0501__row48774533154955"><td class="cellrowborder" rowspan="5" valign="top" width="18.98%" headers="mcps1.3.7.4.2.1.2.5.1.1 "><p id="mrs_01_0501__p58423123154955">RegionServer &gt; Replication</p>
+</td>
+<td class="cellrowborder" valign="top" width="28.01%" headers="mcps1.3.7.4.2.1.2.5.1.2 "><p id="mrs_01_0501__p34652497154955">replication.source.size.capacity</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.350000000000001%" headers="mcps1.3.7.4.2.1.2.5.1.3 "><p id="mrs_01_0501__p55388839154955">16777216</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.660000000000004%" headers="mcps1.3.7.4.2.1.2.5.1.4 "><p id="mrs_01_0501__p57310974154955">Maximum size of edits, in bytes. If the edit size exceeds the value, HLog edits will be sent to the standby cluster.</p>
+</td>
+</tr>
+<tr id="mrs_01_0501__row46036721154955"><td class="cellrowborder" valign="top" headers="mcps1.3.7.4.2.1.2.5.1.1 "><p id="mrs_01_0501__p37986924154955">replication.source.nb.capacity</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.7.4.2.1.2.5.1.2 "><p id="mrs_01_0501__p57041979154955">25000</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.7.4.2.1.2.5.1.3 "><p id="mrs_01_0501__p56997575154955">Maximum number of edits, which is another condition for triggering HLog edits to be sent to the standby cluster. After data in the active cluster is synchronized to the standby cluster, the active cluster reads and sends data in HLog according to this parameter value. This parameter is used together with <strong id="mrs_01_0501__b1584662311272">replication.source.size.capacity</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_0501__row43216127154955"><td class="cellrowborder" valign="top" headers="mcps1.3.7.4.2.1.2.5.1.1 "><p id="mrs_01_0501__p10845360154955">replication.source.maxretriesmultiplier</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.7.4.2.1.2.5.1.2 "><p id="mrs_01_0501__p6058962154955">10</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.7.4.2.1.2.5.1.3 "><p id="mrs_01_0501__p21013900154955">Maximum number of retries when an exception occurs during replication.</p>
+</td>
+</tr>
+<tr id="mrs_01_0501__row54907378154955"><td class="cellrowborder" valign="top" headers="mcps1.3.7.4.2.1.2.5.1.1 "><p id="mrs_01_0501__p18312644154955">replication.source.sleepforretries</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.7.4.2.1.2.5.1.2 "><p id="mrs_01_0501__p6929219154955">1000</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.7.4.2.1.2.5.1.3 "><p id="mrs_01_0501__p24395862154955">Retry interval (unit: ms)</p>
+</td>
+</tr>
+<tr id="mrs_01_0501__row18236171154955"><td class="cellrowborder" valign="top" headers="mcps1.3.7.4.2.1.2.5.1.1 "><p id="mrs_01_0501__p734872154955">hbase.regionserver.replication.handler.count</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.7.4.2.1.2.5.1.2 "><p id="mrs_01_0501__p59524653154955">6</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.7.4.2.1.2.5.1.3 "><p id="mrs_01_0501__p56767603154955">Number of replication RPC server instances on RegionServer</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li></ol>
+<p id="mrs_01_0501__p41146384154955"><strong id="mrs_01_0501__b71751026104818">Enable the replication function for the active cluster to synchronize data written by bulkload.</strong></p>
+<ol start="5" id="mrs_01_0501__ol44522785154955"><li id="mrs_01_0501__li65160752154955"><a name="mrs_01_0501__li65160752154955"></a><a name="li65160752154955"></a><span>Determine whether to enable bulkload replication.</span><p><div class="note" id="mrs_01_0501__note46277048984"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0501__p391601249711">If bulkload import is used and data needs to be synchronized, you need to enable Bulkload replication.</p>
+</div></div>
+<p id="mrs_01_0501__p49575864154955">If yes, go to <a href="#mrs_01_0501__li57688977154955">6</a>.</p>
+<p id="mrs_01_0501__p56222010154955">If no, go to <a href="#mrs_01_0501__li6210082154955">10</a>.</p>
+</p></li><li id="mrs_01_0501__li57688977154955"><a name="mrs_01_0501__li57688977154955"></a><a name="li57688977154955"></a><span>Go to the <strong id="mrs_01_0501__b139596521126">All Configurations</strong> page of the HBase service parameters by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</span></li><li id="mrs_01_0501__li42295589154955"><span>On the HBase configuration interface of the active and standby clusters, search for <strong id="mrs_01_0501__b169641627102815">hbase.replication.cluster.id</strong> and modify it. It specifies the HBase ID of the active and standby clusters. For example, the HBase ID of the active cluster is set to <strong id="mrs_01_0501__b1920923311287">replication1</strong> and the HBase ID of the standby cluster is set to <strong id="mrs_01_0501__b3325455132815">replication2</strong> for connecting the active cluster to the standby cluster. To save data overhead, the parameter value length is not recommended to exceed 30.</span></li><li id="mrs_01_0501__li3244131341713"><a name="mrs_01_0501__li3244131341713"></a><a name="li3244131341713"></a><span>On the HBase configuration interface of the standby cluster, search for <strong id="mrs_01_0501__b14277360338">hbase.replication.conf.dir</strong> and modify it. It specifies the HBase configurations of the active cluster client used by the standby cluster and is used for data replication when the bulkload data replication function is enabled. The parameter value is a path name, for example, <strong id="mrs_01_0501__b6375324151316">/home</strong>.</span><p><div class="note" id="mrs_01_0501__note0771101318917"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0501__ul183455195611"><li id="mrs_01_0501__li1498465282715">In versions earlier than MRS 3.x, you do not need to set this parameter. Skip <a href="#mrs_01_0501__li3244131341713">8</a>.</li><li id="mrs_01_0501__li1526159185615">When bulkload replication is enabled, you need to manually place the HBase client configuration files (<strong id="mrs_01_0501__b1261104534018">core-site.xml</strong>, <strong id="mrs_01_0501__b6621345114014">hdfs-site.xml</strong>, and <strong id="mrs_01_0501__b166294574012">hbase-site.xml</strong>) in the active cluster on all RegionServer nodes in the standby cluster. The actual path for placing the configuration file is <span class="filepath" id="mrs_01_0501__filepath1535414652413"><b>${hbase.replication.conf.dir}/${hbase.replication.cluster.id}</b></span>. For example, if <strong id="mrs_01_0501__b1396611594195">hbase.replication.conf.dir</strong> of the standby cluster is set to <strong id="mrs_01_0501__b1967195991915">/home</strong> and <strong id="mrs_01_0501__b196712593194">hbase.replication.cluster.id</strong> of the active cluster is set to <strong id="mrs_01_0501__b896755917197">replication1</strong>, the actual path for placing the configuration files in the standby cluster is <strong id="mrs_01_0501__b196715596192">/home/replication1</strong>. You also need to change the corresponding directory and file permissions by running the <strong id="mrs_01_0501__b12950741172619">chown -R omm:wheel /home/replication1</strong> command.</li><li id="mrs_01_0501__li59631495619">You can obtain the client configuration files from the client in the active cluster, for example, the <span class="filepath" id="mrs_01_0501__filepath5748185916261"><b>/opt/client/HBase/hbase/conf</b></span> path. For details about how to update the configuration file, see <a href="https://docs.otc.t-systems.com/usermanual/mrs/mrs_01_0089.html" target="_blank" rel="noopener noreferrer">Updating a Client</a>.</li></ul>
+</div></div>
+</p></li><li id="mrs_01_0501__li49438752154955"><span>On the HBase configuration page of the active cluster, search for and change the value of <strong id="mrs_01_0501__b315633212458">hbase.replication.bulkload.enabled</strong> to <strong id="mrs_01_0501__b3652138164512">true</strong> to enable bulkload replication.</span></li></ol>
+<p id="mrs_01_0501__p45115985154955"><strong id="mrs_01_0501__b205516120911">Restarting the HBase service and install the client</strong></p>
+<ol start="10" id="mrs_01_0501__ol30516170154955"><li id="mrs_01_0501__li6210082154955"><a name="mrs_01_0501__li6210082154955"></a><a name="li6210082154955"></a><span>Save the configurations and restart HBase.</span></li><li id="mrs_01_0501__li11385192216347"><a name="mrs_01_0501__li11385192216347"></a><a name="li11385192216347"></a><span>In the active and standby clusters of MRS 1.9.2 or earlier, choose <strong id="mrs_01_0501__b1410344019461">Cluster</strong> &gt; <strong id="mrs_01_0501__b6103240174616">Dashboard</strong> &gt; <strong id="mrs_01_0501__b610417406465">More</strong> &gt; <strong id="mrs_01_0501__b131042405468">Download Client</strong> of MRS 1.9.2 or later, choose <strong id="mrs_01_0501__b142171950174612">Cluster</strong> &gt; <strong id="mrs_01_0501__b1521711508466">Dashboard</strong> &gt; <strong id="mrs_01_0501__b1921875084615">More</strong> &gt; <strong id="mrs_01_0501__b1621805034614">Download Client</strong>. For details about how to update the client configuration file, see <a href="https://docs.otc.t-systems.com/usermanual/mrs/mrs_01_0089.html" target="_blank" rel="noopener noreferrer">Updating a Client</a>.</span></li></ol>
+<p id="mrs_01_0501__p562774110491"><strong id="mrs_01_0501__b165261018163714">Synchronize table data of the active cluster. (Skip this step if the active cluster has no data.)</strong></p>
+<ol start="12" id="mrs_01_0501__ol2512178117406"><li id="mrs_01_0501__li12641483154955"><a name="mrs_01_0501__li12641483154955"></a><a name="li12641483154955"></a><span>Access the HBase shell of the active cluster as user <strong id="mrs_01_0501__b1346896175110">hbase</strong>.</span><p><ol type="a" id="mrs_01_0501__ol574666129352"><li id="mrs_01_0501__li474374619352">On the active management node where the client has been updated, run the following command to go to the client directory:<p id="mrs_01_0501__aa4134e1860f64d04b8af130e80d60c1f"><a name="mrs_01_0501__li474374619352"></a><a name="li474374619352"></a><strong id="mrs_01_0501__af7849077e90740ccbbe480ab0aa7ec10">cd /opt/client</strong></p>
+</li><li id="mrs_01_0501__li533801889352">Run the following command to configure environment variables:<p class="litext" id="mrs_01_0501__p106596489352"><a name="mrs_01_0501__li533801889352"></a><a name="li533801889352"></a><strong id="mrs_01_0501__a07d0d8687a6d4a55bc7ddd4c880258a4">source bigdata_env</strong></p>
+</li><li id="mrs_01_0501__li533641019352">If Kerberos authentication is enabled for the current cluster, run the following command to authenticate the current user. If Kerberos authentication is disabled for the current cluster, skip this step.<p class="litext" id="mrs_01_0501__p105148679352"><a name="mrs_01_0501__li533641019352"></a><a name="li533641019352"></a><strong id="mrs_01_0501__b1110519393552">kinit hbase</strong></p>
+<div class="note" id="mrs_01_0501__note26966143154529"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0501__p41368695154529">The system prompts you to enter the password after you run <strong id="mrs_01_0501__b2076272212819">kinit</strong> <strong id="mrs_01_0501__b6762222122810">hbase</strong>. The default password of user <strong id="mrs_01_0501__b176262218285">hbase</strong> is <strong id="mrs_01_0501__b11762162222813">Hbase@123</strong>.</p>
+</div></div>
+</li><li id="mrs_01_0501__li12253839352">Run the following HBase client command:<p id="mrs_01_0501__p110284519352"><a name="mrs_01_0501__li12253839352"></a><a name="li12253839352"></a><strong id="mrs_01_0501__b321471989352">hbase shell</strong></p>
+</li></ol>
+</p></li></ol><ol start="13" id="mrs_01_0501__ol898298710491"><li id="mrs_01_0501__li1256410216595"><span>Check whether historical data exists in the standby cluster. If historical data exists and data in the active and standby clusters must be consistent, delete data from the standby cluster first.</span><p><ol type="a" id="mrs_01_0501__ol24504688174528"><li id="mrs_01_0501__li20650279174444">On the HBase shell of the standby cluster, run the <strong id="mrs_01_0501__b183621811013">list</strong> command to view the existing tables in the standby cluster.</li><li id="mrs_01_0501__li29698483175147">Delete data tables from the standby cluster based on the output list.<p id="mrs_01_0501__p8395123015306"><a name="mrs_01_0501__li29698483175147"></a><a name="li29698483175147"></a><strong id="mrs_01_0501__b830015249304">disable</strong> '<i><span class="varname" id="mrs_01_0501__varname15300122443014">tableName</span></i>'</p>
+<p id="mrs_01_0501__p937512843016"><strong id="mrs_01_0501__b9930101911309">drop</strong> '<i><span class="varname" id="mrs_01_0501__varname79301192302">tableName</span></i>'</p>
+</li></ol>
+</p></li><li id="mrs_01_0501__li66624452174837"><span>After HBase replication is configured and data synchronization is enabled, check whether tables and data exist in the active cluster and whether the historical data needs to be synchronized to the standby cluster.</span><p><p id="mrs_01_0501__p5653335610491">Run the <strong id="mrs_01_0501__b1758125865611">list</strong> command to check the existing tables in the active cluster and run the <strong id="mrs_01_0501__b35865835620">scan</strong> '<i><span class="varname" id="mrs_01_0501__varname1059175845619">tableName</span></i><strong id="mrs_01_0501__b1859125815561">'</strong> command to check whether the tables contain historical data.</p>
+<ul id="mrs_01_0501__ul797440510491"><li id="mrs_01_0501__li466078310491">If tables exist and data needs to be synchronized, go to <a href="#mrs_01_0501__li4226821210491">15</a>.</li><li id="mrs_01_0501__li4197917010491">If no, no further action is required.</li></ul>
+</p></li><li id="mrs_01_0501__li4226821210491"><a name="mrs_01_0501__li4226821210491"></a><a name="li4226821210491"></a><span>The HBase replication configuration does not support automatic synchronization of historical data in tables. You need to back up the historical data of the active cluster and then manually synchronize the historical data to the standby cluster.</span><p><p id="mrs_01_0501__p4486958910491">Manual synchronization refers to the synchronization of a single table that is implemented by Export, distcp, and Import.</p>
+<p id="mrs_01_0501__p117311810491">The process for manually synchronizing data of a single table is as follows:</p>
+<ol type="a" id="mrs_01_0501__ol1055806410491"><li id="mrs_01_0501__li2791371610491">Export table data from the active cluster.<p id="mrs_01_0501__p4989686010491"><a name="mrs_01_0501__li2791371610491"></a><a name="li2791371610491"></a><strong id="mrs_01_0501__b1927641910616">hbase org.apache.hadoop.hbase.mapreduce.Export -Dhbase.mapreduce.include.deleted.rows=true</strong> <em id="mrs_01_0501__i3821143315619">Table name</em> <em id="mrs_01_0501__i103572411268">Directory where the source data is stored</em></p>
+<p id="mrs_01_0501__p180698310491">Example: <strong id="mrs_01_0501__b1626285310491">hbase org.apache.hadoop.hbase.mapreduce.Export -Dhbase.mapreduce.include.deleted.rows=true t1 /user/hbase/t1</strong></p>
+</li><li id="mrs_01_0501__li1214795510491">Copy the data that has been exported to the standby cluster.<p id="mrs_01_0501__p4222273910491"><a name="mrs_01_0501__li1214795510491"></a><a name="li1214795510491"></a><strong id="mrs_01_0501__b511971519714">hadoop distcp</strong> <em id="mrs_01_0501__i165741025779">Directory for storing source data in the active cluster</em> <strong id="mrs_01_0501__b1930891919817">hdfs://</strong><em id="mrs_01_0501__i16568192320810">ActiveNameNodeIP</em>:<strong id="mrs_01_0501__b159528261081">9820/</strong> <em id="mrs_01_0501__i1126984119719">Directory for storing source data in the standby cluster</em></p>
+<p id="mrs_01_0501__p6510999110491"><strong id="mrs_01_0501__b10615343778">ActiveNameNodeIP</strong> indicates the IP address of the active NameNode in the standby cluster.</p>
+<p id="mrs_01_0501__p4911901110491">Example: <strong id="mrs_01_0501__b3941791810491">hadoop distcp /user/hbase/t1 hdfs://192.168.40.2:9820/user/hbase/t1</strong></p>
+<div class="note" id="mrs_01_0501__note14067447129"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0501__p184064449121">In MRS 1.6.2 and earlier versions, the default port number is 25000. For details, see <a href="https://docs.otc.t-systems.com/usermanual/mrs/mrs_01_0504.html" target="_blank" rel="noopener noreferrer">List of Open Source Component Ports</a>.</p>
+</div></div>
+</li><li id="mrs_01_0501__li1921694510491">Import data to the standby cluster as the HBase table user of the standby cluster.<p id="mrs_01_0501__p3873478110491"><a name="mrs_01_0501__li1921694510491"></a><a name="li1921694510491"></a><strong id="mrs_01_0501__b9280184811111">hbase org.apache.hadoop.hbase.mapreduce.Import</strong> <em id="mrs_01_0501__i711615384123">-Dimport.bulk.output=Directory where the output data is stored in the standby cluster Table name Directory where the source data is stored in the standby cluster</em></p>
+<p id="mrs_01_0501__p5193305110491"><strong id="mrs_01_0501__b1183703811311">hbase org.apache.hadoop.hbase.mapreduce.LoadIncrementalHFiles</strong> <em id="mrs_01_0501__i1857715503137">Directory where the output data is stored in the standby cluster Table name</em></p>
+<p id="mrs_01_0501__p979513510491">For example, <strong id="mrs_01_0501__b2104735110491">hbase org.apache.hadoop.hbase.mapreduce.Import -Dimport.bulk.output=/user/hbase/output_t1 t1 /user/hbase/t1</strong> and</p>
+<p id="mrs_01_0501__p5520843210491"><strong id="mrs_01_0501__b2711384310491">hbase org.apache.hadoop.hbase.mapreduce.LoadIncrementalHFiles /user/hbase/output_t1 t1</strong></p>
+</li></ol>
+</p></li></ol>
+<p id="mrs_01_0501__p30856119154955"><strong id="mrs_01_0501__b1390285715526">Add the replication relationship between the active and standby clusters.</strong></p>
+<ol start="16" id="mrs_01_0501__ol16317690154955"><li id="mrs_01_0501__li46664485154955"><a name="mrs_01_0501__li46664485154955"></a><a name="li46664485154955"></a><span>Run the following command on the HBase Shell to create the replication synchronization relationship between the active cluster and the standby cluster:</span><p><p id="mrs_01_0501__p17327185154955"><strong id="mrs_01_0501__b21726945154955">add_peer</strong> '<em id="mrs_01_0501__i17924162141311">Standby cluster ID',</em> <em id="mrs_01_0501__i117717125320">CLUSTER_KEY =&gt;</em> '<em id="mrs_01_0501__i87722125319">ZooKeeper address of the standby cluster</em>',<strong id="mrs_01_0501__b15052117154955">{HDFS_CONFS =&gt; true}</strong></p>
+<ul id="mrs_01_0501__ul1251332154955"><li id="mrs_01_0501__li11261994154955"><em id="mrs_01_0501__i23852026138">Standby cluster ID</em> indicates an ID for the active cluster to recognize the standby cluster. It is recommended that the ID contain letters and digits.</li><li id="mrs_01_0501__li34249088154955">The ZooKeeper address of the standby cluster includes the service IP address of ZooKeeper, the port for listening to client connections, and the HBase root directory of the standby cluster on ZooKeeper.</li><li id="mrs_01_0501__li39806344154955"><strong id="mrs_01_0501__b149992351221">{HDFS_CONFS =&gt; true}</strong> indicates that the default HDFS configuration of the active cluster will be synchronized to the standby cluster. This parameter is used for HBase of the standby cluster to access HDFS of the active cluster. If bulkload replication is disabled, you do not need to use this parameter.<p id="mrs_01_0501__p6451131181115">Suppose the standby cluster ID is replication2 and the ZooKeeper address of the standby cluster is <strong id="mrs_01_0501__b198971625133420">192.168.40.2,192.168.40.3,192.168.40.4:2181:/hbase</strong>.</p>
+<ul id="mrs_01_0501__ul10816121716116"><li id="mrs_01_0501__li1238861419117">For versions later than MRS 1.9.2: Run the <strong id="mrs_01_0501__b331541519472">add_peer</strong>  <strong id="mrs_01_0501__b1031591519471">'replication2',<strong id="mrs_01_0501__b1315141518471">CLUSTER_KEY =&gt;</strong></strong> <strong id="mrs_01_0501__b1316615144714">'192.168.40.2,192.168.40.3,192.168.40.4:2181:/hbase'</strong><strong id="mrs_01_0501__b53166156474">,CONFIG =&gt; { "hbase.regionserver.kerberos.principal" =&gt; "&lt;val&gt;", "hbase.master.kerberos.principal" =&gt; "&lt;val2&gt;" }</strong> command for a security cluster and the <strong id="mrs_01_0501__b13161015194713">add_peer</strong>  <strong id="mrs_01_0501__b143161152475">'replication2',<strong id="mrs_01_0501__b1931691518471">CLUSTER_KEY =&gt;</strong></strong> <strong id="mrs_01_0501__b031715156474">'192.168.40.2,192.168.40.3,192.168.40.4:2181:/hbase'</strong> command for a common cluster.<div class="p" id="mrs_01_0501__p1424722410294">The <strong id="mrs_01_0501__b84235270695035">hbase.master.kerberos.principal</strong> and <strong id="mrs_01_0501__b84235270695050">hbase.regionserver.kerberos.principal</strong> parameters are the Kerberos users of HBase in the security cluster. You can search the <strong id="mrs_01_0501__b84235270695148">hbase-site.xml</strong> file on the client for the parameter values. For example, if the client is installed in the <span class="filepath" id="mrs_01_0501__filepath695613621315"><b>/opt/client</b></span> directory of the Master node, you can run the <strong id="mrs_01_0501__b693484521317">grep "kerberos.principal" /opt/client/HBase/hbase/conf/hbase-site.xml -A1</strong> command to obtain the principal of HBase. See the following figure.<div class="fignone" id="mrs_01_0501__fig8470448204618"><span class="figcap"><b>Figure 1 </b>Obtaining the principal of HBase</span><br><span><img id="mrs_01_0501__image104702048154610" src="en-us_image_0000001295770664.png"></span></div>
+</div>
+</li><li id="mrs_01_0501__li1147812371211">For MRS 1.9.2 or earlier: Run the <strong id="mrs_01_0501__b11151850594">add_peer</strong>  <strong id="mrs_01_0501__b41513503910">'replication2',<strong id="mrs_01_0501__b115165015915">CLUSTER_KEY =&gt;</strong></strong> <strong id="mrs_01_0501__b14151950295">'192.168.40.2,192.168.40.3,192.168.40.4:2181:/hbase'</strong> command.</li></ul>
+<div class="note" id="mrs_01_0501__note19098158182631"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ol type="a" id="mrs_01_0501__ol41918209182742"><li id="mrs_01_0501__li121187281536">Obtain the ZooKeeper service IP address.<p id="mrs_01_0501__p1642717328320"><a name="mrs_01_0501__li121187281536"></a><a name="li121187281536"></a>For versions earlier than MRS 1.9.2: Choose <strong id="mrs_01_0501__b238211473582">Services</strong> &gt; <strong id="mrs_01_0501__b169131549165810">ZooKeeper</strong> &gt; <strong id="mrs_01_0501__b515813534582">Instance</strong> to obtain the service IP address of ZooKeeper.</p>
+<p id="mrs_01_0501__p1082216212210">For MRS 1.9.2 or later: Log in to the MRS console, click the cluster name, and choose <strong id="mrs_01_0501__b1660412811711">Components</strong> &gt; <strong id="mrs_01_0501__b146048281477">ZooKeeper</strong> &gt; <strong id="mrs_01_0501__b106057282716">Instances</strong> to obtain the ZooKeeper service IP address.</p>
+</li><li id="mrs_01_0501__li4660924183020">On the ZooKeeper service parameter configuration page, search for clientPort, which is the port for the client to connect to the server.</li><li id="mrs_01_0501__li42529842104450">Run the <strong id="mrs_01_0501__b1370321622418">list_peers</strong> command to check whether the replication relationship between the active and standby clusters is added. If the following information is displayed, the relationship is successfully added.<pre class="screen" id="mrs_01_0501__screen1790615447351">hbase(main):003:0&gt; list_peers
+PEER_ID CLUSTER_KEY ENDPOINT_CLASSNAME STATE REPLICATE_ALL NAMESPACES TABLE_CFS BANDWIDTH SERIAL
+replication2 192.168.0.13,192.168.0.177,192.168.0.25:2181:/hbase ENABLED  true   0 false</pre>
+<div class="p" id="mrs_01_0501__p355612093515">For versions earlier than MRS 1.9.2: If the following information is displayed after you run the <strong id="mrs_01_0501__b16388193218313">list_peers</strong> command, the operation is successful.<pre class="screen" id="mrs_01_0501__screen145561920143511">hbase(main):003:0&gt; list_peers
+PEER_ID CLUSTER_KEY STATE TABLE_CFS
+replication2 192.168.0.13,192.168.0.177,192.168.0.25:2181:/hbase ENABLED</pre>
+</div>
+</li></ol>
+</div></div>
+</li></ul>
+</p></li></ol>
+<p id="mrs_01_0501__p48834300154955"><strong id="mrs_01_0501__b1728317588248">Specify the data writing status for the active and standby clusters.</strong></p>
+<ol start="17" id="mrs_01_0501__ol63264227154955"><li id="mrs_01_0501__li32507134154955"><span>On the HBase shell of the active cluster, run the following command to retain the data writing status:</span><p><p id="mrs_01_0501__p24128754154955"><strong id="mrs_01_0501__b15832201154955">set_clusterState_active</strong></p>
+<p id="mrs_01_0501__p8272082154955">The command is run successfully if the following information is displayed:</p>
+<pre class="screen" id="mrs_01_0501__screen7339880154955">hbase(main):001:0&gt; set_clusterState_active
+=&gt; true</pre>
+</p></li><li id="mrs_01_0501__li66058923154955"><span>On the HBase shell of the standby cluster, run the following command to retain the data read-only status:</span><p><p id="mrs_01_0501__p57659396154955"><strong id="mrs_01_0501__b49172516154955">set_clusterState_standby</strong></p>
+<p id="mrs_01_0501__p39899460154955">The command is run successfully if the following information is displayed:</p>
+<pre class="screen" id="mrs_01_0501__screen23550821154955">hbase(main):001:0&gt; set_clusterState_standby
+=&gt; true</pre>
+</p></li></ol>
+<p id="mrs_01_0501__p10630800154955"><strong id="mrs_01_0501__b41891844265">Enable the HBase replication function to synchronize data.</strong></p>
+<ol start="19" id="mrs_01_0501__ol55788497154955"><li id="mrs_01_0501__li32334433154955"><span>Check whether a namespace exists in the HBase service instance of the standby cluster and the namespace has the same name as the namespace of the HBase table for which the replication function is to be enabled.</span><p><div class="p" id="mrs_01_0501__p20459284183327">On the HBase shell of the standby cluster, run the <strong id="mrs_01_0501__b739912301346">list_namespace</strong> command to query the namespace.<ul id="mrs_01_0501__ul22574447154955"><li id="mrs_01_0501__li1843436154955">If the same namespace exists, go to <a href="#mrs_01_0501__li15192291154955">20</a>.</li><li id="mrs_01_0501__li1860181994448">If the same namespace does not exist, on the HBase shell of the standby cluster, run the following command to create a namespace with the same name and go to <a href="#mrs_01_0501__li15192291154955">20</a>:<p id="mrs_01_0501__p437217494448"><strong id="mrs_01_0501__b927710487366">create_namespace'ns1</strong></p>
+</li></ul>
+</div>
+</p></li><li id="mrs_01_0501__li15192291154955"><a name="mrs_01_0501__li15192291154955"></a><a name="li15192291154955"></a><span>On the HBase shell of the active cluster, run the following command to enable real-time replication for tables in the active cluster. This ensures that modified data in the active cluster can be synchronized to the standby cluster in real time.</span><p><p id="mrs_01_0501__p2512899154955">You can only synchronize data of one HTable at one time.</p>
+<p id="mrs_01_0501__p22616096154955"><strong id="mrs_01_0501__b1846512533917">enable_table_replication '</strong><em id="mrs_01_0501__i87901161374">Table name</em>'</p>
+<div class="note" id="mrs_01_0501__note6509922154955"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0501__ul58589304154955"><li id="mrs_01_0501__li57541688154955">If the standby cluster does not contain a table with the same name as the table for which real-time synchronization is to be enabled, the table is automatically created.</li><li id="mrs_01_0501__li48113149154955">If a table with the same name as the table for which real-time synchronization is to be enabled exists in the standby cluster, the structures of the two tables must be the same.</li><li id="mrs_01_0501__li30365158154955">If the encryption algorithm SMS4 or AES is configured for '<em id="mrs_01_0501__i68901155192917">Table name</em>', the function for synchronizing data from the active cluster to the standby cluster cannot be enabled for the HBase table.</li><li id="mrs_01_0501__li4850974154955">If the standby cluster is offline or has tables with the same name but different structures, the replication function cannot be enabled.<p id="mrs_01_0501__p6612548394859"><a name="mrs_01_0501__li4850974154955"></a><a name="li4850974154955"></a>If the standby cluster is offline, start it.</p>
+<p id="mrs_01_0501__p3149199491">If the standby cluster has a table with the same name but different structure, modify the table structure to make it as the same as the table structure of the active cluster. On the HBase shell of the standby cluster, run the <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_0501__cmdname97641001271">alter</span></b></i> command to change the password by referring to the example.</p>
+</li></ul>
+</div></div>
+</p></li><li id="mrs_01_0501__li3638114154955"><a name="mrs_01_0501__li3638114154955"></a><a name="li3638114154955"></a><span>On the HBase shell of the active cluster, run the following command to enable the real-time replication function for the active cluster to synchronize the HBase permission table:</span><p><div class="p" id="mrs_01_0501__p32743030154955"><strong id="mrs_01_0501__b26251818154955">enable_table_replication 'hbase:acl'</strong><div class="note" id="mrs_01_0501__note31022574154955"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0501__p10767711154955">After the permission of the active HBase source data table is modified, to ensure that the standby cluster can properly read data, modify the role permission for the standby cluster.</p>
+</div></div>
+</div>
+</p></li></ol>
+<p id="mrs_01_0501__p29096400104944"><strong id="mrs_01_0501__b13130142163419">Check the data synchronization status for the active and standby clusters.</strong></p>
+<ol start="22" id="mrs_01_0501__ol36040501154955"><li id="mrs_01_0501__li55929056154955"><span>Run the following command on the HBase client to check the synchronized data of the active and standby clusters. After the replication function is enabled, you can run this command to check whether the newly synchronized data is consistent.</span><p><p id="mrs_01_0501__p33599458154955"><strong id="mrs_01_0501__b889103394111">hbase org.apache.hadoop.hbase.mapreduce.replication.VerifyReplication --starttime</strong><em id="mrs_01_0501__i11892233154116">=Start time</em> <strong id="mrs_01_0501__b1689353384117">--endtime</strong><em id="mrs_01_0501__i13893333184110">=End time</em> <em id="mrs_01_0501__i8894433104114">Column family name ID of the standby cluster Table name</em></p>
+<div class="note" id="mrs_01_0501__note28620386154955"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0501__ul56256884154955"><li id="mrs_01_0501__li36549914154955">The start time must be earlier than the end time.</li><li id="mrs_01_0501__li60513771154955">The value of <strong id="mrs_01_0501__b441574819420">starttime</strong> and <strong id="mrs_01_0501__b151218511543">endtime</strong> must be in the timestamp format. You need to run <strong id="mrs_01_0501__b4339185614410">date -d "2015-09-30 00:00:00" +%s to</strong> change a common time format to a timestamp format. The command output is a 10-digit number (accurate to second), but HBase identifies a 13-digit number (accurate to millisecond). Therefore, you need to add three zeros (000) to the end of the command output.</li></ul>
+</div></div>
+<p id="mrs_01_0501__p14932188155939"><strong id="mrs_01_0501__b1128454163615">Switch over active and standby clusters.</strong></p>
+<div class="note" id="mrs_01_0501__note4704913416138"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ol type="a" id="mrs_01_0501__ol22926057161135"><li id="mrs_01_0501__li37390325161135">If the standby cluster needs to be switched over to the active cluster, reconfigure the active/standby relationship by referring to <a href="#mrs_01_0501__li155891430132615">1</a> to <a href="#mrs_01_0501__li11385192216347">11</a> and <a href="#mrs_01_0501__li46664485154955">16</a> to <a href="#mrs_01_0501__li3638114154955">21</a>.</li><li id="mrs_01_0501__li6007965161139">Do not perform <a href="#mrs_01_0501__li12641483154955">12</a> to <a href="#mrs_01_0501__li4226821210491">15</a>.</li></ol>
+</div></div>
+</p></li></ol>
+<div class="section" id="mrs_01_0501__section7753034154955"><h4 class="sectiontitle">Related Commands</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0501__table24016027154955" frame="border" border="1" rules="all"><caption><b>Table 2 </b>HBase replication</caption><thead align="left"><tr id="mrs_01_0501__row21421163154955"><th align="left" class="cellrowborder" valign="top" width="15.661566156615661%" id="mcps1.3.23.2.2.4.1.1"><p id="mrs_01_0501__p57392613154955">Operation</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="41.7941794179418%" id="mcps1.3.23.2.2.4.1.2"><p id="mrs_01_0501__p18290059154955">Command</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="42.544254425442546%" id="mcps1.3.23.2.2.4.1.3"><p id="mrs_01_0501__p5099847154955">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0501__row10434430154955"><td class="cellrowborder" valign="top" width="15.661566156615661%" headers="mcps1.3.23.2.2.4.1.1 "><p id="mrs_01_0501__p39882522154955">Set up the active/standby relationship.</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.7941794179418%" headers="mcps1.3.23.2.2.4.1.2 "><p id="mrs_01_0501__p9994133411135"><strong id="mrs_01_0501__b1299417343139">add_peer</strong> <em id="mrs_01_0501__i4996123451316">'Standby cluster ID', 'Standby cluster address'</em></p>
+<p id="mrs_01_0501__p1799914347139">Examples:</p>
+<p id="mrs_01_0501__p1711335101319"><strong id="mrs_01_0501__b111133501310">add_peer '1', 'zk1,zk2,zk3:2181:/hbase'</strong></p>
+<p id="mrs_01_0501__p1561135151311"><strong id="mrs_01_0501__b9843541319">add_peer  '1', 'zk1,zk2,zk3:2181:/hbase1'</strong></p>
+</td>
+<td class="cellrowborder" valign="top" width="42.544254425442546%" headers="mcps1.3.23.2.2.4.1.3 "><p id="mrs_01_0501__p32979070154955">Set up the relationship between the active cluster and the standby cluster. To enable bulkload replication, run the <strong id="mrs_01_0501__b16928959133912">add_peer </strong><em id="mrs_01_0501__i123731121853">'Standby cluster ID'</em><strong id="mrs_01_0501__b292945914398">,<em id="mrs_01_0501__i1792918596390">CLUSTER_KEY =&gt;</em> </strong><em id="mrs_01_0501__i14570141925317">'Standby cluster address'</em> command, configure <strong id="mrs_01_0501__b108905491719">hbase.replication.conf.dir</strong>, and manually copy the HBase client configuration file in the active cluster to all RegionServer nodes in the standby cluster. For details, see <a href="#mrs_01_0501__li65160752154955">5</a> to <a href="#mrs_01_0501__li11385192216347">11</a>.</p>
+<p id="mrs_01_0501__p1640102532413">For MRS 1.9.2 or earlier, to enable bulkload replication, run the following command: <strong id="mrs_01_0501__b17357125272214">add_peer</strong> <em id="mrs_01_0501__i1263114475228">'Standby cluster ID',<em id="mrs_01_0501__i1863274742216">'Standby cluster address'</em></em>,<strong id="mrs_01_0501__b1490918110233">{HDFS_CONF =&gt; true}</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_0501__row16700746154955"><td class="cellrowborder" valign="top" width="15.661566156615661%" headers="mcps1.3.23.2.2.4.1.1 "><p id="mrs_01_0501__p10583211154955">Remove the active/standby relationship.</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.7941794179418%" headers="mcps1.3.23.2.2.4.1.2 "><p id="mrs_01_0501__p51933801154955"><strong id="mrs_01_0501__b64751030154955">remove_peer</strong> <em id="mrs_01_0501__i45888363154955">'Standby cluster ID'</em></p>
+<p id="mrs_01_0501__p10342090154955">Example:</p>
+<p id="mrs_01_0501__p25969946154955"><strong id="mrs_01_0501__b32402925154955">remove_peer '1'</strong></p>
+</td>
+<td class="cellrowborder" valign="top" width="42.544254425442546%" headers="mcps1.3.23.2.2.4.1.3 "><p id="mrs_01_0501__p7391306154955">Remove standby cluster information from the active cluster.</p>
+</td>
+</tr>
+<tr id="mrs_01_0501__row66521757154955"><td class="cellrowborder" valign="top" width="15.661566156615661%" headers="mcps1.3.23.2.2.4.1.1 "><p id="mrs_01_0501__p19553217154955">Query the active/standby relationship.</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.7941794179418%" headers="mcps1.3.23.2.2.4.1.2 "><p id="mrs_01_0501__p40306738154955"><strong id="mrs_01_0501__b27216322154955">list_peers</strong></p>
+</td>
+<td class="cellrowborder" valign="top" width="42.544254425442546%" headers="mcps1.3.23.2.2.4.1.3 "><p id="mrs_01_0501__p57038480154955">Query standby cluster information (mainly Zookeeper information) in the active cluster.</p>
+</td>
+</tr>
+<tr id="mrs_01_0501__row43584280154955"><td class="cellrowborder" valign="top" width="15.661566156615661%" headers="mcps1.3.23.2.2.4.1.1 "><p id="mrs_01_0501__p40665823154955">Enable the real-time user table synchronization function.</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.7941794179418%" headers="mcps1.3.23.2.2.4.1.2 "><p id="mrs_01_0501__p5597329154955"><strong id="mrs_01_0501__b50375967154955">enable_table_replication</strong> <em id="mrs_01_0501__i50730520154955">'Table name'</em></p>
+<p id="mrs_01_0501__p53921503154955">Example:</p>
+<p id="mrs_01_0501__p15531484154955"><strong id="mrs_01_0501__b5565632154955">enable_table_replication 't1'</strong></p>
+</td>
+<td class="cellrowborder" valign="top" width="42.544254425442546%" headers="mcps1.3.23.2.2.4.1.3 "><p id="mrs_01_0501__p48163049154955">Synchronize user tables from the active cluster to the standby cluster.</p>
+</td>
+</tr>
+<tr id="mrs_01_0501__row30814265154955"><td class="cellrowborder" valign="top" width="15.661566156615661%" headers="mcps1.3.23.2.2.4.1.1 "><p id="mrs_01_0501__p12927522154955">Disable the real-time user table synchronization function.</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.7941794179418%" headers="mcps1.3.23.2.2.4.1.2 "><p id="mrs_01_0501__p40496360154955"><strong id="mrs_01_0501__b28922921154955">disable_table_replication</strong> <em id="mrs_01_0501__i58979698154955">'Table name'</em></p>
+<p id="mrs_01_0501__p61055236154955">Example:</p>
+<p id="mrs_01_0501__p12626216154955"><strong id="mrs_01_0501__b46527088154955">disable_table_replication 't1'</strong></p>
+</td>
+<td class="cellrowborder" valign="top" width="42.544254425442546%" headers="mcps1.3.23.2.2.4.1.3 "><p id="mrs_01_0501__p10597780154955">Do not synchronize user tables from the active cluster to the standby cluster.</p>
+</td>
+</tr>
+<tr id="mrs_01_0501__row28271163154955"><td class="cellrowborder" valign="top" width="15.661566156615661%" headers="mcps1.3.23.2.2.4.1.1 "><p id="mrs_01_0501__p8262887154955">Verify data of the active and standby clusters.</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.7941794179418%" headers="mcps1.3.23.2.2.4.1.2 "><p id="mrs_01_0501__p50956389154955"><strong id="mrs_01_0501__b158151120244">bin/hbase org.apache.hadoop.hbase.mapreduce.replication.VerifyReplication</strong> <em id="mrs_01_0501__i170918150242">--starttime --endtime Column family name Standby cluster ID Table name</em></p>
+</td>
+<td class="cellrowborder" valign="top" width="42.544254425442546%" headers="mcps1.3.23.2.2.4.1.3 "><p id="mrs_01_0501__p17917034154955">Verify whether data of the specified table is the same between the active cluster and the standby cluster.</p>
+<p id="mrs_01_0501__p27035579154955">The description of the parameters in this command is as follows:</p>
+<ul id="mrs_01_0501__ul41993619154955"><li id="mrs_01_0501__li42398251154955">Start time: If start time is not specified, the default value <strong id="mrs_01_0501__b207814382433">0</strong> will be used.</li><li id="mrs_01_0501__li46039940154955">End time: If end time is not specified, the time when the current operation is submitted will be used by default.</li><li id="mrs_01_0501__li11706279154955">Table name: If a table name is not entered, all user tables for which the real-time synchronization function is enabled will be verified by default.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_0501__row38247654154955"><td class="cellrowborder" valign="top" width="15.661566156615661%" headers="mcps1.3.23.2.2.4.1.1 "><p id="mrs_01_0501__p11052256154955">Switch the data writing status. </p>
+</td>
+<td class="cellrowborder" valign="top" width="41.7941794179418%" headers="mcps1.3.23.2.2.4.1.2 "><p id="mrs_01_0501__p22817563154955"><strong id="mrs_01_0501__b4031480154955">set_clusterState_active</strong></p>
+<p id="mrs_01_0501__p36283327154955"><strong id="mrs_01_0501__b58114487154955">set_clusterState_standby</strong></p>
+</td>
+<td class="cellrowborder" valign="top" width="42.544254425442546%" headers="mcps1.3.23.2.2.4.1.3 "><p id="mrs_01_0501__p9653002154955">Specifies whether data can be written to the cluster HBase tables.</p>
+</td>
+</tr>
+<tr id="mrs_01_0501__row19768159154955"><td class="cellrowborder" valign="top" width="15.661566156615661%" headers="mcps1.3.23.2.2.4.1.1 "><p id="mrs_01_0501__p57717036154955">Add or update the active cluster HDFS configurations saved in the peer cluster.</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.7941794179418%" headers="mcps1.3.23.2.2.4.1.2 "><p id="mrs_01_0501__p44568321154955"><strong id="mrs_01_0501__b65570575154955">set_replication_hdfs_confs 'PeerId', {'key1' =&gt;  'value1', 'key2' =&gt; 'value2'}</strong></p>
+</td>
+<td class="cellrowborder" valign="top" width="42.544254425442546%" headers="mcps1.3.23.2.2.4.1.3 "><p id="mrs_01_0501__p9616324154955">Enable replication for data including bulkload data. When HDFS parameters are modified in the active cluster, the modification cannot be automatically synchronized to the standby cluster. You need to manually run the command to synchronize the changes. The affected parameters are as follows:</p>
+<ul id="mrs_01_0501__ul19438053154955"><li id="mrs_01_0501__li40724757154955">fs.defaultFS</li><li id="mrs_01_0501__li30978500154955">dfs.client.failover.proxy.provider.hacluster</li><li id="mrs_01_0501__li10371052154955">dfs.client.failover.connection.retries.on.timeouts</li><li id="mrs_01_0501__li26230604154955">dfs.client.failover.connection.retries</li></ul>
+<p id="mrs_01_0501__p34748846154955">For example, if the value of <strong id="mrs_01_0501__b201551428172717">fs.defaultFS</strong> is changed to <strong id="mrs_01_0501__b6867163472716">hdfs://hacluster_sale</strong>, run the <strong id="mrs_01_0501__b44304164154955">set_replication_hdfs_confs '1', {'fs.defaultFS' =&gt; 'hdfs://hacluster_sale'}</strong> command to synchronization the HDFS configuration to the standby cluster whose ID is 1.</p>
+<p id="mrs_01_0501__p2172155419011">In versions later than MRS 1.9.2, this command has been removed. If synchronization is required, manually copy the changed client configurations in the active cluster to the standby cluster. For details, see <a href="#mrs_01_0501__li3244131341713">8</a>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0500.html">Using HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0502.html b/docs/mrs/component-operation-guide/mrs_01_0502.html
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+<a name="mrs_01_0502"></a><a name="mrs_01_0502"></a>
+
+<h1 class="topictitle1">Enabling Cross-Cluster Copy</h1>
+<div id="body1589421624075"><div class="section" id="mrs_01_0502__section4982615016933"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0502__p938634316933">DistCp is used to copy the data stored on HDFS from a cluster to another cluster. DistCp depends on the cross-cluster copy function, which is disabled by default. This function needs to be enabled in both clusters.</p>
+<p id="mrs_01_0502__p6464882916933">This section describes how to enable cross-cluster copy.</p>
+</div>
+<div class="section" id="mrs_01_0502__section4496855716933"><h4 class="sectiontitle">Impact on the System</h4><p id="mrs_01_0502__p1857453216933">Yarn needs to be restarted to enable the cross-cluster copy function and cannot be accessed during the restart.</p>
+</div>
+<div class="section" id="mrs_01_0502__section3295306016933"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_0502__p5195218816933">The <strong id="mrs_01_0502__b1521625426">hadoop.rpc.protection</strong> parameter of the two HDFS clusters must be set to the same data transmission mode, which can be <strong id="mrs_01_0502__b1677512291125">privacy</strong> (encryption enabled) or <strong id="mrs_01_0502__b0623153411211">authentication</strong> (encryption disabled).</p>
+<div class="note" id="mrs_01_0502__note36461715185452"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0502__p191517115388">Go to the <strong id="mrs_01_0502__b549132718174">All Configurations</strong> page by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a> and search for <strong id="mrs_01_0502__b134399372176">hadoop.rpc.protection</strong>.</p>
+<p id="mrs_01_0502__p1885710212539">For versions earlier than MRS 3.x, choose <strong id="mrs_01_0502__b10434155193411">Components</strong> &gt; <strong id="mrs_01_0502__b1943511514345">HDFS</strong> &gt; <strong id="mrs_01_0502__b14435205153410">Service Configuration</strong> on the cluster details page. Switch <strong id="mrs_01_0502__b1543516519345">Basic</strong> to <strong id="mrs_01_0502__b143513533419">All</strong>, and search for <strong id="mrs_01_0502__b1643511573414">hadoop.rpc.protection</strong>.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0502__section6491650916933"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0502__ol2374590516933"><li id="mrs_01_0502__li328938153213"><span>Log in to the service page.</span><p><p id="mrs_01_0502__p72818387329">For versions earlier than MRS 1.9.2: Log in to <a href="https://docs.otc.t-systems.com/usermanual/mrs/mrs_01_0102.html" target="_blank" rel="noopener noreferrer">MRS Manager</a>, and choose <strong id="mrs_01_0502__b9693174431">Services</strong>.</p>
+<p id="mrs_01_0502__p428183883217">For MRS 1.9.2 or later: Click the cluster name on the MRS console and choose <strong id="mrs_01_0502__b142481044311">Components</strong>.</p>
+</p></li><li id="mrs_01_0502__li1966213718714"><span>Go to the <strong id="mrs_01_0502__b2751163393918">All Configurations</strong> page of the Yarn service. For details, see <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</span><p><div class="note" id="mrs_01_0502__note3349205551313"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0502__p158007468574">If the <strong id="mrs_01_0502__b18432028175820">Components</strong> tab is unavailable, complete IAM user synchronization first. (On the <strong id="mrs_01_0502__b19432112835811">Dashboard</strong> page, click <strong id="mrs_01_0502__b1643242815582">Synchronize</strong> on the right side of <span class="parmname" id="mrs_01_0502__parmname194321528135815"><b>IAM User Sync</b></span> to synchronize IAM users.)</p>
+</div></div>
+</p></li><li id="mrs_01_0502__li6378706216933"><span>In the navigation pane, choose <strong id="mrs_01_0502__b1640775534813">Yarn</strong> &gt; <strong id="mrs_01_0502__b1794423334719">Distcp</strong>.</span></li><li id="mrs_01_0502__li3721265416933"><span>Set <strong id="mrs_01_0502__b1569813219450">haclusterX.remotenn1</strong> of <strong id="mrs_01_0502__b068010164452">dfs.namenode.rpc-address</strong> to the service IP address and RPC port number of one NameNode instance of the peer cluster, and set <strong id="mrs_01_0502__b124923454911">haclusterX.remotenn2</strong> to the service IP address and RPC port number of the other NameNode instance of the peer cluster. Enter a value in the <em id="mrs_01_0502__i17809946303">IP address:port</em> format.</span><p><div class="note" id="mrs_01_0502__note60675655181130"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0502__p690124713013">For MRS 1.9.2 or later, log in to the MRS console, click the cluster name, and choose <strong id="mrs_01_0502__b6816222010">Components</strong> &gt; <strong id="mrs_01_0502__b5973547205">HDFS</strong> &gt; <strong id="mrs_01_0502__b239568172014">Instances</strong> to obtain the service IP address of the NameNode instance.</p>
+<p id="mrs_01_0502__p1831135910351">You can also log in to FusionInsight Manager in MRS 3.x clusters, and choose <strong id="mrs_01_0502__b16571115211">Cluster</strong> &gt; <em id="mrs_01_0502__i964575115238">Name of the desired cluster</em> &gt; <strong id="mrs_01_0502__b1646915518210">Services</strong> &gt; <strong id="mrs_01_0502__b26321353152115">HDFS</strong> &gt; <strong id="mrs_01_0502__b2805951162112">Instance</strong> to obtain the service IP address of the NameNode instance.</p>
+</div></div>
+<p id="mrs_01_0502__p6647843216933"><strong id="mrs_01_0502__b625311530509">dfs.namenode.rpc-address.haclusterX.remotenn1</strong> and <strong id="mrs_01_0502__b158577145115">dfs.namenode.rpc-address.haclusterX.remotenn2</strong> do not distinguish active and standby NameNode instances. The default NameNode RPC port is 9820 and cannot be modified on MRS Manager.</p>
+<p id="mrs_01_0502__p6143498316933">For example, <strong id="mrs_01_0502__b258505053117">10.1.1.1:9820</strong> and <strong id="mrs_01_0502__b16903545315">10.1.1.2:9820</strong>.</p>
+<div class="note" id="mrs_01_0502__note65601137102310"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0502__p9560103742315">For MRS 1.6.2 or earlier, the default port number is <strong id="mrs_01_0502__b84561446105219">25000</strong>. For details, see <a href="https://docs.otc.t-systems.com/usermanual/mrs/mrs_01_0504.html" target="_blank" rel="noopener noreferrer">List of Open Source Component Ports</a>.</p>
+</div></div>
+</p></li><li id="mrs_01_0502__li2449066216933"><span>Save the configuration. On the <strong id="mrs_01_0502__b169576303174">Dashboard</strong> tab page, and choose <strong id="mrs_01_0502__b169571530131719">More</strong> &gt; <strong id="mrs_01_0502__b16957123012175">Restart Service</strong> to restart the Yarn service.</span><p><p id="mrs_01_0502__p1908936716933"><strong id="mrs_01_0502__b181312576571">Operation succeeded</strong> is displayed. Click <strong id="mrs_01_0502__b177011150586">Finish</strong>. The Yarn service is started successfully.</p>
+</p></li><li id="mrs_01_0502__li3758657716933"><span>Log in to the other cluster and repeat the preceding operations.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0500.html">Using HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0510.html b/docs/mrs/component-operation-guide/mrs_01_0510.html
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+<a name="mrs_01_0510"></a><a name="mrs_01_0510"></a>
+
+<h1 class="topictitle1">Using the ReplicationSyncUp Tool</h1>
+<div id="body1589421624077"><div class="section" id="mrs_01_0510__section9366245194020"><h4 class="sectiontitle">Prerequisites</h4><ol id="mrs_01_0510__ol48201219351"><li id="mrs_01_0510__li19177161333512">Active and standby clusters have been installed and started.</li><li id="mrs_01_0510__li1812381618359">Time is consistent between the active and standby clusters and the NTP service on the active and standby clusters uses the same time source.</li><li id="mrs_01_0510__li8352113351">When the HBase service of the active cluster is stopped, the ZooKeeper and HDFS services must be started and run.</li><li id="mrs_01_0510__li29901250142715">ReplicationSyncUp must be run by the system user who starts the HBase process.</li><li id="mrs_01_0510__li382042163519">In security mode, ensure that the HBase system user of the standby cluster has the read permission on HDFS of the active cluster. This is because that it will update the ZooKeeper nodes and HDFS files of the HBase system.</li><li id="mrs_01_0510__li34701745101510">When HBase of the active cluster is faulty, the ZooKeeper, file system, and network of the active cluster are still available.</li></ol>
+</div>
+<div class="section" id="mrs_01_0510__section1591723654118"><h4 class="sectiontitle">Scenarios</h4><p id="mrs_01_0510__p249551953615">The replication mechanism can use WAL to synchronize the state of a cluster with the state of another cluster. After HBase replication is enabled, if the active cluster is faulty, ReplicationSyncUp synchronizes incremental data from the active cluster to the standby cluster using the information from the ZooKeeper node. After data synchronization is complete, the standby cluster can be used as an active cluster.</p>
+</div>
+<div class="section" id="mrs_01_0510__section7259105104216"><h4 class="sectiontitle">Parameter Configuration</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0510__table97621948102914" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_0510__row148111348112918"><th align="left" class="cellrowborder" valign="top" width="38.77612238776123%" id="mcps1.3.3.2.1.4.1.1"><p id="mrs_01_0510__p081194818292">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="46.93530646935306%" id="mcps1.3.3.2.1.4.1.2"><p id="mrs_01_0510__p178111048152916">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="14.288571142885711%" id="mcps1.3.3.2.1.4.1.3"><p id="mrs_01_0510__p28111248202914">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0510__row0811548202919"><td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.1.4.1.1 "><p id="mrs_01_0510__p16811144892911">hbase.replication.bulkload.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="46.93530646935306%" headers="mcps1.3.3.2.1.4.1.2 "><p id="mrs_01_0510__p82782193210">Whether to enable the bulkload data replication function. The parameter value type is Boolean. To enable the bulkload data replication function, set this parameter to <strong id="mrs_01_0510__b84235270616280">true</strong> for the active cluster.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.288571142885711%" headers="mcps1.3.3.2.1.4.1.3 "><p id="mrs_01_0510__p58112487293"><strong id="mrs_01_0510__b540754023513">false</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_0510__row198111948192913"><td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.1.4.1.1 "><p id="mrs_01_0510__p16811184832912">hbase.replication.cluster.id</p>
+</td>
+<td class="cellrowborder" valign="top" width="46.93530646935306%" headers="mcps1.3.3.2.1.4.1.2 "><p id="mrs_01_0510__p0811104813298">ID of the source HBase cluster. After the bulkload data replication is enabled, this parameter is mandatory and must be defined in the source cluster. The parameter value type is String. </p>
+</td>
+<td class="cellrowborder" valign="top" width="14.288571142885711%" headers="mcps1.3.3.2.1.4.1.3 "><p id="mrs_01_0510__p6811248112917">-</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_0510__section21312164429"><h4 class="sectiontitle">Tool Usage</h4><p id="mrs_01_0510__p1497612033318">Run the following command on the client of the active cluster:</p>
+<p id="mrs_01_0510__p10976520183315"><strong id="mrs_01_0510__b6804447203315">hbase org.apache.hadoop.hbase.replication.regionserver.ReplicationSyncUp -Dreplication.sleep.before.failover=1</strong></p>
+<div class="note" id="mrs_01_0510__note36461715185452"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0510__p53619084134739"><strong id="mrs_01_0510__b842352706163311">replication.sleep.before.failover</strong> indicates sleep time required for replication of the remaining data when RegionServer fails to start. You are advised to set this parameter to 1 second to quickly trigger replication.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0510__section6990241164212"><h4 class="sectiontitle">Precautions</h4><ol id="mrs_01_0510__ol14426117812"><li id="mrs_01_0510__li54211115818">When the active cluster is stopped, this tool obtains the WAL processing progress and WAL processing queue from the ZooKeeper Node (RS znode) and copies the queues that are not copied to the standby cluster.</li><li id="mrs_01_0510__li243211680">RegionServer of each active cluster has its own znode under the replication node of ZooKeeper in the standby cluster. It contains one znode of each peer cluster.</li><li id="mrs_01_0510__li0431211389">If RegionServer is faulty, each RegionServer in the active cluster receives a notification through the watcher and attempts to lock the znode of the faulty RegionServer, including its queues. The successfully created RegionServer transfers all queues to the znode of its own queue. After queues are transferred, they are deleted from the old location.</li><li id="mrs_01_0510__li124317111785">When the active cluster is stopped, ReplicationSyncUp synchronizes data between active and standby clusters using the information from the ZooKeeper node. In addition, WALs of the RegionServer znode will be moved to the standby cluster.</li></ol>
+</div>
+<div class="section" id="mrs_01_0510__section208511454104210"><h4 class="sectiontitle">Restrictions and Limitations</h4><p id="mrs_01_0510__p3976152015337">If the standby cluster is stopped or the peer relationship is closed, the tool runs normally but the peer relationship cannot be replicated.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0500.html">Using HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0581.html b/docs/mrs/component-operation-guide/mrs_01_0581.html
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+<a name="mrs_01_0581"></a><a name="mrs_01_0581"></a>
+
+<h1 class="topictitle1">Using Hive</h1>
+<div id="body1589421621264"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_0442.html">Using Hive from Scratch</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0582.html">Configuring Hive Parameters</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2330.html">Hive SQL</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0947.html">Permission Management</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0952.html">Using a Hive Client</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0953.html">Using HDFS Colocation to Store Hive Tables</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0954.html">Using the Hive Column Encryption Function</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0955.html">Customizing Row Separators</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24293.html">Configuring Hive on HBase in Across Clusters with Mutual Trust Enabled</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0956.html">Deleting Single-Row Records from Hive on HBase</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0957.html">Configuring HTTPS/HTTP-based REST APIs</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0958.html">Enabling or Disabling the Transform Function</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0959.html">Access Control of a Dynamic Table View on Hive</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0960.html">Specifying Whether the ADMIN Permissions Is Required for Creating Temporary Functions</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0961.html">Using Hive to Read Data in a Relational Database</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0962.html">Supporting Traditional Relational Database Syntax in Hive</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0966.html">Viewing Table Structures Using the show create Statement as Users with the select Permission</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0967.html">Writing a Directory into Hive with the Old Data Removed to the Recycle Bin</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0968.html">Inserting Data to a Directory That Does Not Exist</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0969.html">Creating Databases and Creating Tables in the Default Database Only as the Hive Administrator</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0970.html">Disabling of Specifying the location Keyword When Creating an Internal Hive Table</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0971.html">Enabling the Function of Creating a Foreign Table in a Directory That Can Only Be Read</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0972.html">Authorizing Over 32 Roles in Hive</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0973.html">Restricting the Maximum Number of Maps for Hive Tasks</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0974.html">HiveServer Lease Isolation</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0975.html">Hive Supporting Transactions</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1750.html">Switching the Hive Execution Engine to Tez</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2311.html">Hive Materialized View</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0976.html">Hive Log Overview</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0977.html">Hive Performance Tuning</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1752.html">Common Issues About Hive</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0582.html b/docs/mrs/component-operation-guide/mrs_01_0582.html
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+<a name="mrs_01_0582"></a><a name="mrs_01_0582"></a>
+
+<h1 class="topictitle1">Configuring Hive Parameters</h1>
+<div id="body1589421621798"><div class="section" id="mrs_01_0582__s0b433d56ce2f426aa664c49ac6a37758"><h4 class="sectiontitle">Navigation Path</h4><p id="mrs_01_0582__p39519895015">Go to the Hive configurations page by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+</div>
+<div class="section" id="mrs_01_0582__section20877188509"><h4 class="sectiontitle">Parameter Description</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0582__table1151941120120" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Hive parameter description</caption><thead align="left"><tr id="mrs_01_0582__row7519411012"><th align="left" class="cellrowborder" valign="top" width="28.112811281128113%" id="mcps1.3.2.2.2.4.1.1"><p id="mrs_01_0582__p05192111017">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="47.004700470047%" id="mcps1.3.2.2.2.4.1.2"><p id="mrs_01_0582__p851911113118">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="24.88248824882488%" id="mcps1.3.2.2.2.4.1.3"><p id="mrs_01_0582__p13519111511">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0582__row175191411617"><td class="cellrowborder" valign="top" width="28.112811281128113%" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_0582__p35191911710">hive.auto.convert.join</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.004700470047%" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_0582__p25196113118">Whether Hive converts common <strong id="mrs_01_0582__b1475141162510">join</strong> to <strong id="mrs_01_0582__b1581191152515">mapjoin</strong> based on the input file size.</p>
+<div class="note" id="mrs_01_0582__note1321012448109"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0582__p1121134441016">When Hive is used to query a join table, whatever the table size is (if the data in the join table is less than 24 MB, it is a small one), set this parameter to <strong id="mrs_01_0582__b13911283596">false</strong>. If this parameter is set to <strong id="mrs_01_0582__b199272805915">true</strong>, new <strong id="mrs_01_0582__b1692112885920">mapjoin</strong> cannot be generated when you query a join table.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="24.88248824882488%" headers="mcps1.3.2.2.2.4.1.3 "><p id="mrs_01_0582__p15191311513">Possible values are as follows:</p>
+<ul id="mrs_01_0582__ul1551916111316"><li id="mrs_01_0582__li1951951110115">true</li><li id="mrs_01_0582__li251913110110">false</li></ul>
+<p id="mrs_01_0582__p16519101112112">The default value is <strong id="mrs_01_0582__b128172682519">true</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_0582__row16519411517"><td class="cellrowborder" valign="top" width="28.112811281128113%" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_0582__p75192113113">hive.default.fileformat</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.004700470047%" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_0582__p14519141112117">Indicates the default file format used by Hive.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.88248824882488%" headers="mcps1.3.2.2.2.4.1.3 "><p id="mrs_01_0582__p527102110549">Versions earlier than MRS 3.x: TextFile</p>
+<p id="mrs_01_0582__p1352014116116">MRS 3.x or later: RCFile</p>
+</td>
+</tr>
+<tr id="mrs_01_0582__row1252014111817"><td class="cellrowborder" valign="top" width="28.112811281128113%" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_0582__p55209114119">hive.exec.reducers.max</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.004700470047%" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_0582__p1452012111715">Indicates the maximum number of reducers in a MapReduce job submitted by Hive.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.88248824882488%" headers="mcps1.3.2.2.2.4.1.3 "><p id="mrs_01_0582__p1152011111913">999</p>
+</td>
+</tr>
+<tr id="mrs_01_0582__row752011115111"><td class="cellrowborder" valign="top" width="28.112811281128113%" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_0582__p9520161112118">hive.server2.thrift.max.worker.threads</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.004700470047%" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_0582__p75205111112">Indicates the maximum number of threads that can be started in the HiveServer internal thread pool.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.88248824882488%" headers="mcps1.3.2.2.2.4.1.3 "><p id="mrs_01_0582__p852013118120">1,000</p>
+</td>
+</tr>
+<tr id="mrs_01_0582__row652051117114"><td class="cellrowborder" valign="top" width="28.112811281128113%" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_0582__p1652013111511">hive.server2.thrift.min.worker.threads</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.004700470047%" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_0582__p452011114111">Indicates the number of threads started during initialization in the HiveServer internal thread pool.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.88248824882488%" headers="mcps1.3.2.2.2.4.1.3 "><p id="mrs_01_0582__p2052051119113">5</p>
+</td>
+</tr>
+<tr id="mrs_01_0582__row652016111519"><td class="cellrowborder" valign="top" width="28.112811281128113%" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_0582__p0520131117113">hive.hbase.delete.mode.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.004700470047%" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_0582__p1952061113115">Indicates whether to enable the function of deleting HBase records from Hive. If this function is enabled, you can use <strong id="mrs_01_0582__b24413793152348">remove table xx where xxx</strong> to delete HBase records from Hive.</p>
+<div class="note" id="mrs_01_0582__note8913155711584"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0582__p39131657115811">This parameter applies to MRS 3.<em id="mrs_01_0582__i4187154202911">x</em> or later.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="24.88248824882488%" headers="mcps1.3.2.2.2.4.1.3 "><p id="mrs_01_0582__p85206111114">true</p>
+</td>
+</tr>
+<tr id="mrs_01_0582__row352014111316"><td class="cellrowborder" valign="top" width="28.112811281128113%" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_0582__p2052051116114">hive.metastore.server.min.threads</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.004700470047%" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_0582__p145201511518">Indicates the number of threads started by MetaStore for processing connections. If the number of threads is more than the set value, MetaStore always maintains a number of threads that is not lower than the set value, that is, the number of resident threads in the MetaStore thread pool is always higher than the set value.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.88248824882488%" headers="mcps1.3.2.2.2.4.1.3 "><p id="mrs_01_0582__p105205112117">200</p>
+</td>
+</tr>
+<tr id="mrs_01_0582__row95201411216"><td class="cellrowborder" valign="top" width="28.112811281128113%" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_0582__p752017115118">hive.server2.enable.doAs</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.004700470047%" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_0582__p1952011110110">Indicates whether to simulate client users during sessions between HiveServer2 and other services (such as Yarn and HDFS). If you change the configuration item from <strong id="mrs_01_0582__b210042266452348">false</strong> to <strong id="mrs_01_0582__b152063650552348">true</strong>, users with only the column permission lose the permissions to access corresponding tables.</p>
+<div class="note" id="mrs_01_0582__note759323012596"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0582__p125931730155913">This parameter applies to MRS 3.<em id="mrs_01_0582__i496110528299">x</em> or later.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="24.88248824882488%" headers="mcps1.3.2.2.2.4.1.3 "><p id="mrs_01_0582__p1252018111318">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0584.html b/docs/mrs/component-operation-guide/mrs_01_0584.html
new file mode 100644
index 000000000..26ab96b0c
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0584.html
@@ -0,0 +1,21 @@
+<a name="mrs_01_0584"></a><a name="mrs_01_0584"></a>
+
+<h1 class="topictitle1">Interconnecting Spark with OpenTSDB</h1>
+<div id="body1589421621258"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_0585.html">Creating a Table and Associating It with OpenTSDB</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0586.html">Inserting Data to the OpenTSDB Table</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0587.html">Querying an OpenTSDB Table</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0588.html">Modifying the Default Configuration Data</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0589.html">Using Spark</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0585.html b/docs/mrs/component-operation-guide/mrs_01_0585.html
new file mode 100644
index 000000000..ef0334013
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0585.html
@@ -0,0 +1,47 @@
+<a name="mrs_01_0585"></a><a name="mrs_01_0585"></a>
+
+<h1 class="topictitle1">Creating a Table and Associating It with OpenTSDB</h1>
+<div id="body1589421621259"><div class="section" id="mrs_01_0585__section14297175215515"><h4 class="sectiontitle">Function</h4><p id="mrs_01_0585__p178721747183615">MRS Spark can be used to access the data source of OpenTSDB, create and associate tables in the Spark, and query and insert the OpenTSDB data.</p>
+<p id="mrs_01_0585__p1943211523517">Use the <strong id="mrs_01_0585__b0274015135618">CREATE TABLE</strong> command to create a table and associate it with an existing metric in OpenTSDB.</p>
+<div class="note" id="mrs_01_0585__note18300165275119"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0585__p10432152135112">If no metric exists in OpenTSDB, an error will be reported when the corresponding table is queried.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0585__section7314752195113"><h4 class="sectiontitle">Syntax</h4><pre class="screen" id="mrs_01_0585__screen1850205313">CREATE TABLE [IF NOT EXISTS] OPENTSDB_TABLE_NAME   USING OPENTSDB OPTIONS (
+'metric' = 'METRIC_NAME',
+'tags' = 'TAG1,TAG2'
+);</pre>
+</div>
+<div class="section" id="mrs_01_0585__section1432961213524"><h4 class="sectiontitle">Keyword</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0585__table103551812185212" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_0585__row1442312125528"><th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.3.2.1.3.1.1"><p id="mrs_01_0585__p194231112205210"><strong id="mrs_01_0585__b242310129525">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="70%" id="mcps1.3.3.2.1.3.1.2"><p id="mrs_01_0585__p54231712175216"><strong id="mrs_01_0585__b11423151217520">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0585__row1842411285212"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.3.2.1.3.1.1 "><p id="mrs_01_0585__p12424212145211">metric</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.3.2.1.3.1.2 "><p id="mrs_01_0585__p74241012185219">Indicates the name of the metric in OpenTSDB corresponding to the table to be created.</p>
+</td>
+</tr>
+<tr id="mrs_01_0585__row16424612185210"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.3.2.1.3.1.1 "><p id="mrs_01_0585__p16424612135220">tags</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.3.2.1.3.1.2 "><p id="mrs_01_0585__p19424161275219">Indicates the tags corresponding to the metric. The tags are used for classification, filtering, and quick retrieval. You can set 1 to 8 tags, which are separated by commas (,). The parameter value includes values of all tagKs in the corresponding metric.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_0585__section15363201265210"><h4 class="sectiontitle">Precautions</h4><p id="mrs_01_0585__p842411212522">When creating a table, you do not need to specify the <strong id="mrs_01_0585__b71860161806">timestamp</strong> and <strong id="mrs_01_0585__b11914162018">value</strong> fields. The system automatically builds the following fields based on the specified tags. The fields <strong id="mrs_01_0585__b3192191615018">TAG1</strong> and <strong id="mrs_01_0585__b1519261619010">TAG2</strong> are specified by tags.</p>
+<ul id="mrs_01_0585__ul154241512105218"><li id="mrs_01_0585__li042411123524">TAG1 String</li><li id="mrs_01_0585__li842461213526">TAG2 String</li><li id="mrs_01_0585__li104241412105216">timestamp Timestamp</li><li id="mrs_01_0585__li15424212105214">value double</li></ul>
+</div>
+<div class="section" id="mrs_01_0585__section11370151213522"><h4 class="sectiontitle">Example</h4><p id="mrs_01_0585__p4373163111347">Create table <strong id="mrs_01_0585__b158511411807">opentsdb_table</strong> and associate it with metric <strong id="mrs_01_0585__b199014111017">city.temp</strong> of the OpenTSDB component.</p>
+<pre class="screen" id="mrs_01_0585__screen3713151739">CREATE table opentsdb_table using opentsdb OPTIONS ('metric'='city.temp',  'tags'='city,location');</pre>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0584.html">Interconnecting Spark with OpenTSDB</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0586.html b/docs/mrs/component-operation-guide/mrs_01_0586.html
new file mode 100644
index 000000000..f3278affa
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0586.html
@@ -0,0 +1,41 @@
+<a name="mrs_01_0586"></a><a name="mrs_01_0586"></a>
+
+<h1 class="topictitle1">Inserting Data to the OpenTSDB Table</h1>
+<div id="body1589421621260"><div class="section" id="mrs_01_0586__section2167437125214"><h4 class="sectiontitle">Function</h4><p id="mrs_01_0586__p423814375525">Run the <strong id="mrs_01_0586__b136279531419">INSERT INTO</strong> statement to insert the data in the table to the associated OpenTSDB metric.</p>
+</div>
+<div class="section" id="mrs_01_0586__section41681537155216"><h4 class="sectiontitle">Syntax</h4><pre class="screen" id="mrs_01_0586__screen1840611813411">INSERT INTO TABLE_NAME SELECT * FROM SRC_TABLE;
+INSERT INTO TABLE_NAME VALUES(XXX);</pre>
+</div>
+<div class="section" id="mrs_01_0586__section5170183716527"><h4 class="sectiontitle">Keyword</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0586__table1817193710524" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_0586__row42382375527"><th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.3.2.1.3.1.1"><p id="mrs_01_0586__p1423823745220"><strong id="mrs_01_0586__b22381637155219">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="70%" id="mcps1.3.3.2.1.3.1.2"><p id="mrs_01_0586__p18239537115218"><strong id="mrs_01_0586__b10239203715219">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0586__row323913745210"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.3.2.1.3.1.1 "><p id="mrs_01_0586__p15239133735214">TABLE_NAME</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.3.2.1.3.1.2 "><p id="mrs_01_0586__p1523993745219">Indicates the name of the associated OpenTSDB table.</p>
+</td>
+</tr>
+<tr id="mrs_01_0586__row2239837105215"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.3.2.1.3.1.1 "><p id="mrs_01_0586__p11239153785212">SRC_TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.3.2.1.3.1.2 "><p id="mrs_01_0586__p7239103765217">Indicates the name of the table from which data is obtained. This parameter can be set to a name of a common table.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_0586__section13175153785212"><h4 class="sectiontitle">Precautions</h4><ul id="mrs_01_0586__ul16239173725216"><li id="mrs_01_0586__li2239203712527">The inserted data cannot be <strong id="mrs_01_0586__b2096917242034">null</strong>. If the inserted data is the same as the original data or only the <strong id="mrs_01_0586__b9975122418310">value</strong> is different, the inserted data overwrites the original data.</li><li id="mrs_01_0586__li02392379523"><strong id="mrs_01_0586__b13977376310">INSERT OVERWRITE</strong> is not supported.</li><li id="mrs_01_0586__li19239113785217">You are advised not to concurrently insert data into a table. If you concurrently insert data into a table, there is a possibility that conflicts occur, leading to data insertion failures.</li><li id="mrs_01_0586__li72391237185211">The <strong id="mrs_01_0586__b22501511417">TIMESTAMP</strong> format supports only yyyy-MM-dd hh:mm:ss.</li></ul>
+</div>
+<div class="section" id="mrs_01_0586__section7179937145212"><h4 class="sectiontitle">Example</h4><p id="mrs_01_0586__p10279646193617">Insert data into table <strong id="mrs_01_0586__b747171512416">opentsdb_table</strong>.</p>
+<pre class="screen" id="mrs_01_0586__screen1713317311412">insert into opentsdb_table values('<span id="mrs_01_0586__ph25148716491">city1</span>','futian','2018-05-03 00:00:00',21);</pre>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0584.html">Interconnecting Spark with OpenTSDB</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0587.html b/docs/mrs/component-operation-guide/mrs_01_0587.html
new file mode 100644
index 000000000..fe882abe5
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0587.html
@@ -0,0 +1,40 @@
+<a name="mrs_01_0587"></a><a name="mrs_01_0587"></a>
+
+<h1 class="topictitle1">Querying an OpenTSDB Table</h1>
+<div id="body1589421621262"><p id="mrs_01_0587__p935785820529">This <strong id="mrs_01_0587__b563295119420">SELECT</strong> command is used to query data in an OpenTSDB table.</p>
+<div class="section" id="mrs_01_0587__section6313185812529"><h4 class="sectiontitle">Syntax</h4><pre class="screen" id="mrs_01_0587__screen14702547347">SELECT * FROM table_name WHERE tagk=tagv LIMIT number;</pre>
+</div>
+<div class="section" id="mrs_01_0587__section1931315582526"><h4 class="sectiontitle">Keyword</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0587__table1817193710524" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_0587__row42382375527"><th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.3.2.1.3.1.1"><p id="mrs_01_0587__p1423823745220"><strong id="mrs_01_0587__b22381637155219">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="70%" id="mcps1.3.3.2.1.3.1.2"><p id="mrs_01_0587__p18239537115218"><strong id="mrs_01_0587__b10239203715219">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0587__row323913745210"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.3.2.1.3.1.1 "><p id="mrs_01_0587__p4512182532414">LIMIT</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.3.2.1.3.1.2 "><p id="mrs_01_0587__p1523993745219">Used to limit the query results.</p>
+</td>
+</tr>
+<tr id="mrs_01_0587__row2239837105215"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.3.2.1.3.1.1 "><p id="mrs_01_0587__p96329379241">number</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.3.2.1.3.1.2 "><p id="mrs_01_0587__p7239103765217">Only the INT type is supported.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_0587__section1331415589523"><h4 class="sectiontitle">Precautions</h4><ul id="mrs_01_0587__ul855312117254"><li id="mrs_01_0587__li145541611142515">The to-be-queried table must exist. Otherwise, an error is reported.</li><li id="mrs_01_0587__li843852722514">The value of <strong id="mrs_01_0587__b2979111814515">tagv</strong> must exist. Otherwise, an error occurs.</li></ul>
+</div>
+<div class="section" id="mrs_01_0587__section1231515865218"><h4 class="sectiontitle">Example</h4><p id="mrs_01_0587__p53581058105212">Query data in the <strong id="mrs_01_0587__b178691241651">opentsdb_table</strong> table.</p>
+<pre class="screen" id="mrs_01_0587__screen54985561847">SELECT * FROM opentsdb_table LIMIT 100;
+SELECT * FROM opentsdb_table WHERE city='<span id="mrs_01_0587__ph82698492261">city1</span>';</pre>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0584.html">Interconnecting Spark with OpenTSDB</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0588.html b/docs/mrs/component-operation-guide/mrs_01_0588.html
new file mode 100644
index 000000000..0c1af290e
--- /dev/null
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@@ -0,0 +1,48 @@
+<a name="mrs_01_0588"></a><a name="mrs_01_0588"></a>
+
+<h1 class="topictitle1">Modifying the Default Configuration Data</h1>
+<div id="body1589421621263"><p id="mrs_01_0588__p1731231115318">By default, OpenTSDB connects to the local TSD process of the node where the Spark executor resides. In MRS, use the default configuration.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0588__table13240911145315" frame="border" border="1" rules="all"><caption><b>Table 1 </b>OpenTSDB data source configuration</caption><tbody><tr id="mrs_01_0588__row33121811195313"><td class="cellrowborder" valign="top" width="39.53%"><p id="mrs_01_0588__p33121119534">Parameter</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.25%"><p id="mrs_01_0588__p33131911135319">Description</p>
+</td>
+<td class="cellrowborder" valign="top" width="28.22%"><p id="mrs_01_0588__p143131911105315">Example Value</p>
+</td>
+</tr>
+<tr id="mrs_01_0588__row9313171145320"><td class="cellrowborder" valign="top" width="39.53%"><p id="mrs_01_0588__p183132011145313">spark.sql.datasource.opentsdb.host</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.25%"><p id="mrs_01_0588__p2313161111538">Indicates the IP address of the connected TSD process.</p>
+</td>
+<td class="cellrowborder" valign="top" width="28.22%"><p id="mrs_01_0588__p3313811165314">Null (default value)</p>
+<p id="mrs_01_0588__p613845811342"><strong id="mrs_01_0588__b12597122514812">xx.xx.xx.xx</strong> indicates the IP address. Separate multiple IP addresses with commas (,).</p>
+</td>
+</tr>
+<tr id="mrs_01_0588__row93131311145311"><td class="cellrowborder" valign="top" width="39.53%"><p id="mrs_01_0588__p13313111155314">spark.sql.datasource.opentsdb.port</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.25%"><p id="mrs_01_0588__p153131911155317">Indicates the port number of the TSD process.</p>
+</td>
+<td class="cellrowborder" valign="top" width="28.22%"><p id="mrs_01_0588__p63131611105311">4242 (default value)</p>
+</td>
+</tr>
+<tr id="mrs_01_0588__row0313191155314"><td class="cellrowborder" valign="top" width="39.53%"><p id="mrs_01_0588__p93131511105317">spark.sql.datasource.opentsdb.randomSeed</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.25%"><p id="mrs_01_0588__p531341114537">Indicates whether to use the random seed when the <strong id="mrs_01_0588__b1979212411788">spark.sql.datasource.opentsdb.host</strong> is set to multiple addresses. If this parameter is set to <strong id="mrs_01_0588__b588819520810">false</strong>, all executors on the same node are connected to the same host. In this way, <strong id="mrs_01_0588__b2089318526819">spark.blacklist.enabled=true</strong> can be used to implement task fault tolerance.</p>
+</td>
+<td class="cellrowborder" valign="top" width="28.22%"><p id="mrs_01_0588__p1131371113534">false (default value)</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="section" id="mrs_01_0588__section17239141145318"><h4 class="sectiontitle">Example</h4><p id="mrs_01_0588__p2313141125311">Run the <strong id="mrs_01_0588__b5897164218918">set</strong> statement in <strong id="mrs_01_0588__b3902124214915">spark-sql</strong> and <strong id="mrs_01_0588__b169030421593">spark-beeline</strong>, and then run other SQL statements.</p>
+<pre class="screen" id="mrs_01_0588__screen6571148551">set spark.sql.datasource.opentsdb.host = 192.168.2.143,192.168.2.158;
+SELECT * FROM opentsdb_table ;</pre>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0584.html">Interconnecting Spark with OpenTSDB</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0589.html b/docs/mrs/component-operation-guide/mrs_01_0589.html
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+<a name="mrs_01_0589"></a><a name="mrs_01_0589"></a>
+
+<h1 class="topictitle1">Using Spark</h1>
+<div id="body1589421619402"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1925.html">Precautions</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0366.html">Getting Started with Spark</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0367.html">Getting Started with Spark SQL</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1183.html">Using the Spark Client</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0767.html">Accessing the Spark Web UI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0584.html">Interconnecting Spark with OpenTSDB</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0591.html b/docs/mrs/component-operation-guide/mrs_01_0591.html
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@@ -0,0 +1,29 @@
+<a name="mrs_01_0591"></a><a name="mrs_01_0591"></a>
+
+<h1 class="topictitle1">Using Flink</h1>
+<div id="body1589421636431"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_0473.html">Using Flink from Scratch</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0784.html">Viewing Flink Job Information</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0592.html">Flink Configuration Management</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0593.html">Security Configuration</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0594.html">Security Hardening</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1586.html">Security Statement</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24014.html">Using the Flink Web UI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0596.html">Flink Log Overview</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0597.html">Flink Performance Tuning</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0598.html">Common Flink Shell Commands</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0592.html b/docs/mrs/component-operation-guide/mrs_01_0592.html
new file mode 100644
index 000000000..948785468
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+++ b/docs/mrs/component-operation-guide/mrs_01_0592.html
@@ -0,0 +1,41 @@
+<a name="mrs_01_0592"></a><a name="mrs_01_0592"></a>
+
+<h1 class="topictitle1">Flink Configuration Management</h1>
+<div id="body1589421638012"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1565.html">Configuring Parameter Paths</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1566.html">JobManager &amp; TaskManager</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1567.html">Blob</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1568.html">Distributed Coordination (via Akka)</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1569.html">SSL</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1570.html">Network communication (via Netty)</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1571.html">JobManager Web Frontend</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1572.html">File Systems</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1573.html">State Backend</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1574.html">Kerberos-based Security</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1575.html">HA</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1576.html">Environment</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1577.html">Yarn</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1578.html">Pipeline</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0591.html">Using Flink</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0593.html b/docs/mrs/component-operation-guide/mrs_01_0593.html
new file mode 100644
index 000000000..5b931ee26
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0593.html
@@ -0,0 +1,19 @@
+<a name="mrs_01_0593"></a><a name="mrs_01_0593"></a>
+
+<h1 class="topictitle1">Security Configuration</h1>
+<div id="body1589421638556"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1579.html">Security Features</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1580.html">Configuring Kafka</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1581.html">Configuring Pipeline</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0591.html">Using Flink</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0594.html b/docs/mrs/component-operation-guide/mrs_01_0594.html
new file mode 100644
index 000000000..d7f706ca5
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0594.html
@@ -0,0 +1,19 @@
+<a name="mrs_01_0594"></a><a name="mrs_01_0594"></a>
+
+<h1 class="topictitle1">Security Hardening</h1>
+<div id="body1589421638563"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1583.html">Authentication and Encryption</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1584.html">ACL Control</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1585.html">Web Security</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0591.html">Using Flink</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0596.html b/docs/mrs/component-operation-guide/mrs_01_0596.html
new file mode 100644
index 000000000..f2762757b
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0596.html
@@ -0,0 +1,117 @@
+<a name="mrs_01_0596"></a><a name="mrs_01_0596"></a>
+
+<h1 class="topictitle1">Flink Log Overview</h1>
+<div id="body1589421638568"><div class="section" id="mrs_01_0596__section8415510499"><h4 class="sectiontitle">Log Description</h4><div class="p" id="mrs_01_0596__p128661441497"><strong id="mrs_01_0596__b181051025123915">Log path:</strong><ul id="mrs_01_0596__ul686615441890"><li id="mrs_01_0596__li98669441691">Run logs of a Flink job: <strong id="mrs_01_0596__b719310245113">${BIGDATA_DATA_HOME}/hadoop/data${i}/nm/containerlogs/application_${appid}/container_{$contid}</strong><div class="note" id="mrs_01_0596__note1583913511576"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0596__p383912512718">The logs of executing tasks are stored in the preceding path. After the execution is complete, the Yarn configuration determines whether these logs are gathered to the HDFS directory.</p>
+</div></div>
+</li><li id="mrs_01_0596__li58661044192">FlinkResource run logs: <strong id="mrs_01_0596__b2270319829">/var/log/Bigdata/flink/flinkResource</strong></li></ul>
+</div>
+<p id="mrs_01_0596__p986614449919"><strong id="mrs_01_0596__b323282025713">Log archive rules:</strong></p>
+<ol id="mrs_01_0596__ol1731462014464"><li id="mrs_01_0596__li142661403474">FlinkResource run logs:<ul id="mrs_01_0596__ul720161518399"><li id="mrs_01_0596__li82041514393">By default, service logs are backed up each time when the log size reaches 20 MB. A maximum of 20 logs can be reserved without being compressed.<div class="note" id="mrs_01_0596__note1551019429533"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0596__p14511042105319">For versions earlier than MRS 3.x, The executor logs are backed up each time when the log size reaches 30 MB. A maximum of 20 logs can be reserved without being compressed.</p>
+</div></div>
+</li><li id="mrs_01_0596__li252395619538">You can set the log size and number of compressed logs on the Manager page or modify the corresponding configuration items in <strong id="mrs_01_0596__b6772111161617">log4j-cli.properties</strong>, <strong id="mrs_01_0596__b8537113313161">log4j.properties</strong>, and <strong id="mrs_01_0596__b9704737101612">log4j-session.properties</strong> in <strong id="mrs_01_0596__b1388035911419">/opt/client/Flink/flink/conf/</strong> on the client. <strong id="mrs_01_0596__b82441748131712">/opt</strong><strong id="mrs_01_0596__b19245948141714"></strong><strong id="mrs_01_0596__b8246184812179">/client</strong> is the client installation directory.</li></ul>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0596__table1020915123917" frame="border" border="1" rules="all"><caption><b>Table 1 </b>FlinkResource log list</caption><thead align="left"><tr id="mrs_01_0596__row721121516394"><th align="left" class="cellrowborder" valign="top" width="33.333333333333336%" id="mcps1.3.1.4.1.2.2.4.1.1"><p id="mrs_01_0596__p18211215173912"><strong id="mrs_01_0596__b19771125375311">Type</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.333333333333336%" id="mcps1.3.1.4.1.2.2.4.1.2"><p id="mrs_01_0596__p4211415193914"><strong id="mrs_01_0596__b2292258775">Name</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.333333333333336%" id="mcps1.3.1.4.1.2.2.4.1.3"><p id="mrs_01_0596__p1821161583911"><strong id="mrs_01_0596__b18215155393">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0596__row174211839173915"><td class="cellrowborder" rowspan="5" valign="top" width="33.333333333333336%" headers="mcps1.3.1.4.1.2.2.4.1.1 "><p id="mrs_01_0596__p0421839153918">FlinkResource run logs</p>
+<p id="mrs_01_0596__p1118711862620"></p>
+</td>
+<td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.1.4.1.2.2.4.1.2 "><p id="mrs_01_0596__p592915333913">checkService.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.1.4.1.2.2.4.1.3 "><p id="mrs_01_0596__p124221939123916">Health check log</p>
+</td>
+</tr>
+<tr id="mrs_01_0596__row51077910402"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.1.2.2.4.1.1 "><p id="mrs_01_0596__p1230311654015">kinit.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.1.2.2.4.1.2 "><p id="mrs_01_0596__p6108159194019">Initialization log</p>
+</td>
+</tr>
+<tr id="mrs_01_0596__row143173919408"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.1.2.2.4.1.1 "><p id="mrs_01_0596__p17143154154018">postinstall.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.1.2.2.4.1.2 "><p id="mrs_01_0596__p43539124013">Service installation log</p>
+</td>
+</tr>
+<tr id="mrs_01_0596__row63539144014"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.1.2.2.4.1.1 "><p id="mrs_01_0596__p7641145915409">prestart.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.1.2.2.4.1.2 "><p id="mrs_01_0596__p73939174016">Prestart script log</p>
+</td>
+</tr>
+<tr id="mrs_01_0596__row3318391403"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.1.2.2.4.1.1 "><p id="mrs_01_0596__p023915718413">start.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.1.2.2.4.1.2 "><p id="mrs_01_0596__p14393914408">Startup log</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ol>
+</div>
+<div class="section" id="mrs_01_0596__section19463015192"><h4 class="sectiontitle">Log Level</h4><p id="mrs_01_0596__p87214571397"><a href="#mrs_01_0596__table63318572917">Table 2</a> describes the log levels supported by Flink. The priorities of log levels are ERROR, WARN, INFO, and DEBUG in descending order. Logs whose levels are higher than or equal to the specified level are printed. The number of printed logs decreases as the specified log level increases.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0596__table63318572917"></a><a name="table63318572917"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0596__table63318572917" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Log levels</caption><thead align="left"><tr id="mrs_01_0596__row12721657892"><th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.2.3.2.3.1.1"><p id="mrs_01_0596__p1202134412918"><strong id="mrs_01_0596__b2077582416129">Level</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="70%" id="mcps1.3.2.3.2.3.1.2"><p id="mrs_01_0596__p3202544891"><strong id="mrs_01_0596__b3913152661211">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0596__row107314575911"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_0596__p57314576913">ERROR</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_0596__p117385719912">Error information about the current event processing</p>
+</td>
+</tr>
+<tr id="mrs_01_0596__row0733571398"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_0596__p1731557595">WARN</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_0596__p1273185720917">Exception information about the current event processing</p>
+</td>
+</tr>
+<tr id="mrs_01_0596__row4733571694"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_0596__p9737578914">INFO</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_0596__p073155711910">Normal running status information about the system and events</p>
+</td>
+</tr>
+<tr id="mrs_01_0596__row177320571996"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_0596__p197319571492">DEBUG</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_0596__p137345716911">System information and system debugging information</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_0596__p4731157197">To modify log levels, perform the following steps:</p>
+<ol id="mrs_01_0596__ol2049469418545"><li id="mrs_01_0596__li4027424618545"><span>Go to the <strong id="mrs_01_0596__b1037082416568">All Configurations</strong> page of Flink by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</span></li><li id="mrs_01_0596__li2692390118545"><span>On the menu bar on the left, select the log menu of the target role.</span></li><li id="mrs_01_0596__li4098852518545"><span>Select a desired log level.</span></li><li id="mrs_01_0596__li1719026918545"><span>Save the configuration. In the displayed dialog box, click <strong id="mrs_01_0596__b176757401010724">OK</strong> to make the configurations take effect.</span></li></ol>
+<div class="note" id="mrs_01_0596__note173412056141514"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0596__ul210713781611"><li id="mrs_01_0596__li81071377169">After the configuration is complete, you do not need to restart the service. Download the client again for the configuration to take effect.</li><li id="mrs_01_0596__li1710711712165">You can also change the configuration items corresponding to the log level in <strong id="mrs_01_0596__b1841434619194">log4j-cli.properties</strong>, <strong id="mrs_01_0596__b6947105616192">log4j.properties</strong>, and <strong id="mrs_01_0596__b15525182112015">log4j-session.properties</strong> in <strong id="mrs_01_0596__b987411081919">/opt</strong><strong id="mrs_01_0596__b1087420191918"></strong><strong id="mrs_01_0596__b18874120181911">/client/Flink/flink/conf/</strong> on the client. <strong id="mrs_01_0596__b892019374528">/opt</strong><strong id="mrs_01_0596__b792053765210"></strong><strong id="mrs_01_0596__b59216374529">/client</strong> is the client installation directory.</li><li id="mrs_01_0596__li19676384546">When a job is submitted using a client, a log file is generated in the <strong id="mrs_01_0596__b1853524735712">log</strong> folder on the client. The default umask value is <strong id="mrs_01_0596__b5858632145817">0022</strong>. Therefore, the default log permission is <strong id="mrs_01_0596__b1777564295817">644</strong>. To change the file permission, you need to change the umask value. For example, to change the umask value of user <strong id="mrs_01_0596__b65529544582">omm</strong>:<ul id="mrs_01_0596__ul740172651510"><li id="mrs_01_0596__li152762258151">Add <strong id="mrs_01_0596__b14487184917597">umask 0026</strong> to the end of the <strong id="mrs_01_0596__b153401850115210">/home/omm/.baskrc</strong> file.</li><li id="mrs_01_0596__li16762182815165">Run the <strong id="mrs_01_0596__b19541527013">source /home/omm/.baskrc</strong> command to make the file permission take effect.</li></ul>
+</li></ul>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0596__section1435319261199"><h4 class="sectiontitle">Log Format</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0596__table131491213116" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Log formats</caption><thead align="left"><tr id="mrs_01_0596__row12149112191110"><th align="left" class="cellrowborder" valign="top" width="11.981198119811982%" id="mcps1.3.3.2.2.4.1.1"><p id="mrs_01_0596__p683323501119"><strong id="mrs_01_0596__b1099664183114">Type</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="28.612861286128616%" id="mcps1.3.3.2.2.4.1.2"><p id="mrs_01_0596__p13833173514110"><strong id="mrs_01_0596__b1765264416206">Format</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="59.4059405940594%" id="mcps1.3.3.2.2.4.1.3"><p id="mrs_01_0596__p183373591114"><strong id="mrs_01_0596__b164921147132015">Example</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0596__row181507210112"><td class="cellrowborder" valign="top" width="11.981198119811982%" headers="mcps1.3.3.2.2.4.1.1 "><p id="mrs_01_0596__p99601845151110">Run log</p>
+</td>
+<td class="cellrowborder" valign="top" width="28.612861286128616%" headers="mcps1.3.3.2.2.4.1.2 "><p id="mrs_01_0596__p10960114516118">&lt;<em id="mrs_01_0596__i182715010188">yyyy-MM-dd HH:mm:ss,SSS</em>&gt;|&lt;<em id="mrs_01_0596__i3830950131813">Log level</em>&gt;|&lt;<em id="mrs_01_0596__i1083045061814">Name of the thread that generates the log</em>&gt;|&lt;<em id="mrs_01_0596__i9830175041813">Message in the log</em>&gt;|&lt;<em id="mrs_01_0596__i1683014509189">Location where the log event occurs</em>&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.4059405940594%" headers="mcps1.3.3.2.2.4.1.3 "><p id="mrs_01_0596__p996012457115">2019-06-27 21:30:31,778 | INFO | [flink-akka.actor.default-dispatcher-3] | TaskManager container_e10_1498290698388_0004_02_000007 has started. | org.apache.flink.yarn.YarnFlinkResourceManager (FlinkResourceManager.java:368)</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0591.html">Using Flink</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0597.html b/docs/mrs/component-operation-guide/mrs_01_0597.html
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+<a name="mrs_01_0597"></a><a name="mrs_01_0597"></a>
+
+<h1 class="topictitle1">Flink Performance Tuning</h1>
+<div id="body1589421638571"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1587.html">Optimization DataStream</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0591.html">Using Flink</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0598.html b/docs/mrs/component-operation-guide/mrs_01_0598.html
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@@ -0,0 +1,163 @@
+<a name="mrs_01_0598"></a><a name="mrs_01_0598"></a>
+
+<h1 class="topictitle1">Common Flink Shell Commands</h1>
+<div id="body1589421638574"><p id="mrs_01_0598__p1047722614136">This section applies to MRS 3.<em id="mrs_01_0598__i1199361195312">x</em> or later clusters.</p>
+<p id="mrs_01_0598__p18665940151218">Before running the Flink shell commands, perform the following steps:</p>
+<ol id="mrs_01_0598__ol168757872718"><li id="mrs_01_0598__li2087512818273"><span>Install the Flink client in a directory, for example, <strong id="mrs_01_0598__b198041135155410">/opt/client</strong>.</span></li><li id="mrs_01_0598__li9875180279"><span>Run the following command to initialize environment variables:</span><p><p id="mrs_01_0598__p10423946122715"><strong id="mrs_01_0598__b1587412231213">source /opt/client/bigdata_env</strong></p>
+</p></li><li id="mrs_01_0598__li1987413236217"><span>If Kerberos authentication is enabled for the current cluster, run the following command to authenticate the user. If Kerberos authentication is disabled, skip this step.</span><p><p id="mrs_01_0598__p4874112317214"><strong id="mrs_01_0598__b1731715554552">kinit</strong> <em id="mrs_01_0598__i332212558552">Service user</em> </p>
+</p></li><li id="mrs_01_0598__li68752817272"><span>Run the related commands according to <a href="#mrs_01_0598__table65101640171215">Table 1</a>.</span><p>
+<div class="tablenoborder"><a name="mrs_01_0598__table65101640171215"></a><a name="table65101640171215"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0598__table65101640171215" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Flink Shell commands</caption><thead align="left"><tr id="mrs_01_0598__row266514404129"><th align="left" class="cellrowborder" valign="top" width="17.491749174917494%" id="mcps1.3.3.4.2.1.2.4.1.1"><p id="mrs_01_0598__p2149115918167"><strong id="mrs_01_0598__b2356134965617">Command</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="55.67556755675567%" id="mcps1.3.3.4.2.1.2.4.1.2"><p id="mrs_01_0598__p1149105911160"><strong id="mrs_01_0598__b12821192155710">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="26.83268326832683%" id="mcps1.3.3.4.2.1.2.4.1.3"><p id="mrs_01_0598__p41492597169"><strong id="mrs_01_0598__b17421114155715">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0598__row1666534011216"><td class="cellrowborder" valign="top" width="17.491749174917494%" headers="mcps1.3.3.4.2.1.2.4.1.1 "><p id="mrs_01_0598__p76657406128">yarn-session.sh</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.67556755675567%" headers="mcps1.3.3.4.2.1.2.4.1.2 "><p id="mrs_01_0598__p3863102264419"><strong id="mrs_01_0598__b203642184232">-at,--applicationType &lt;arg&gt;</strong>: Defines the Yarn application type.</p>
+<p id="mrs_01_0598__p196669401122"><strong id="mrs_01_0598__b1049319122512">-D &lt;property=value&gt;</strong>: Configures dynamic parameter.</p>
+<p id="mrs_01_0598__p156661540141215"><strong id="mrs_01_0598__b65551855135814">-d,--detached</strong>: Disables the interactive mode and starts a separate Flink Yarn session.</p>
+<p id="mrs_01_0598__p179554635316"><strong id="mrs_01_0598__b12927458981095">-h,--help</strong>: Displays the help information about the Yarn session CLI.</p>
+<p id="mrs_01_0598__p5666174051214"><strong id="mrs_01_0598__b763712414591">-id,--applicationId &lt;arg&gt;</strong>: Binds to a running Yarn session.</p>
+<p id="mrs_01_0598__p4666124011215"><strong id="mrs_01_0598__b192512399251">-j,--jar &lt;arg&gt;</strong>: Sets the path of the user's JAR file.</p>
+<p id="mrs_01_0598__p1166624051218"><strong id="mrs_01_0598__b248414419010">-jm,--jobManagerMemory &lt;arg&gt;</strong>: Sets the JobManager memory.</p>
+<p id="mrs_01_0598__p176056318546"><strong id="mrs_01_0598__b16635140131095">-m,--jobmanager &lt;arg&gt;</strong>: Address of the JobManager (master) to which to connect. Use this parameter to connect to a specified JobManager.</p>
+<p id="mrs_01_0598__p1790718322544"><strong id="mrs_01_0598__b159731313192811">-nl,--nodeLabel &lt;arg&gt;</strong>: Specifies the nodeLabel of the Yarn application.</p>
+<p id="mrs_01_0598__p1366624081213"><strong id="mrs_01_0598__b1474141762818">-nm,--name &lt;arg&gt;</strong>: Customizes a name for the application on Yarn.</p>
+<p id="mrs_01_0598__p13666340171211"><strong id="mrs_01_0598__b1843102110281">-q,--query</strong>: Queries available Yarn resources.</p>
+<p id="mrs_01_0598__p15666154041213"><strong id="mrs_01_0598__b1444624162815">-qu,--queue &lt;arg&gt;</strong>: Specifies a Yarn queue.</p>
+<p id="mrs_01_0598__p13666154016129"><strong id="mrs_01_0598__b5611172719289">-s,--slots &lt;arg&gt;</strong>: Sets the number of slots for each TaskManager.</p>
+<p id="mrs_01_0598__p266618404129"><strong id="mrs_01_0598__b1226436172814">-t,--ship &lt;arg&gt;</strong>: specifies the directory of the file to be sent.</p>
+<p id="mrs_01_0598__p106661040151219"><strong id="mrs_01_0598__b26451639112812">-tm,--taskManagerMemory &lt;arg&gt;</strong>: sets the TaskManager memory.</p>
+<p id="mrs_01_0598__p169065914518"><strong id="mrs_01_0598__b1561954252818">-yd,--yarndetached</strong>: starts Yarn in the detached mode.</p>
+<p id="mrs_01_0598__p126524256429"><strong id="mrs_01_0598__b11871046192817">-z,--zookeeperNamespace &lt;args&gt;</strong>: specifies the namespace of ZooKeeper.</p>
+<p id="mrs_01_0598__p186668401122"><strong id="mrs_01_0598__b2043174942815">-h</strong>: Gets help information.</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.83268326832683%" headers="mcps1.3.3.4.2.1.2.4.1.3 "><p id="mrs_01_0598__p1866634041219">Start a resident Flink cluster to receive tasks from the Flink client.</p>
+</td>
+</tr>
+<tr id="mrs_01_0598__row566634012127"><td class="cellrowborder" valign="top" width="17.491749174917494%" headers="mcps1.3.3.4.2.1.2.4.1.1 "><p id="mrs_01_0598__p17666174011213">flink run</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.67556755675567%" headers="mcps1.3.3.4.2.1.2.4.1.2 "><p id="mrs_01_0598__p1166619405122"><strong id="mrs_01_0598__b193823151139">-c,--class &lt;classname&gt;</strong>: Specifies a class as the entry for running programs.</p>
+<p id="mrs_01_0598__p116661540121211"><strong id="mrs_01_0598__b15209541739">-C,--classpath &lt;url&gt;</strong>: Specifies <strong id="mrs_01_0598__b621494115311">classpath</strong>.</p>
+<p id="mrs_01_0598__p466644016122"><strong id="mrs_01_0598__b103427596318">-d,--detached</strong>: Runs a job in the detached mode.</p>
+<p id="mrs_01_0598__p117611123153412"><strong id="mrs_01_0598__b53520910291">-files,--dependencyFiles &lt;arg&gt;</strong>: File on which the Flink program depends.</p>
+<p id="mrs_01_0598__p165351205200"><strong id="mrs_01_0598__b18244745391095">-n,--allowNonRestoredState</strong>: A state that cannot be restored can be skipped during restoration from a snapshot point in time. For example, if an operator in the program is deleted, you need to add this parameter when restoring the snapshot point.</p>
+<p id="mrs_01_0598__p466611406123"><strong id="mrs_01_0598__b10102131516412">-m,--jobmanager &lt;host:port&gt;</strong>: Specifies the JobManager.</p>
+<p id="mrs_01_0598__p9666040101211"><strong id="mrs_01_0598__b394552511418">-p,--parallelism &lt;parallelism&gt;</strong>: Specifies the job DOP, which will overwrite the DOP parameter in the configuration file.</p>
+<p id="mrs_01_0598__p1666617401121"><strong id="mrs_01_0598__b104411667359">-q,--sysoutLogging</strong>: Disables the function of outputting Flink logs to the console.</p>
+<p id="mrs_01_0598__p4666164041210"><strong id="mrs_01_0598__b825112462519">-s,--fromSavepoint &lt;savepointPath&gt;</strong>: Specifies a savepoint path for recovering jobs.</p>
+<p id="mrs_01_0598__p14666154051215"><strong id="mrs_01_0598__b15331164062">-z,--zookeeperNamespace &lt;zookeeperNamespace&gt;</strong>: specifies the namespace of ZooKeeper.</p>
+<p id="mrs_01_0598__p6804183315571"><strong id="mrs_01_0598__b162821257133120">-yat,--yarnapplicationType &lt;arg&gt;</strong>: Defines the Yarn application type.</p>
+<p id="mrs_01_0598__p666624031220"><strong id="mrs_01_0598__b199239868">-yD &lt;arg&gt;</strong>: Dynamic parameter configuration.</p>
+<p id="mrs_01_0598__p36666403129"><strong id="mrs_01_0598__b105673178611">-yd,--yarndetached</strong>: Starts Yarn in the detached mode.</p>
+<p id="mrs_01_0598__p20452144655712"><strong id="mrs_01_0598__b1014713242327">-yh,--yarnhelp</strong>: Obtains the Yarn help.</p>
+<p id="mrs_01_0598__p2666140151214"><strong id="mrs_01_0598__b1269322510612">-yid,--yarnapplicationId &lt;arg&gt;</strong>: Binds a job to a Yarn session.</p>
+<p id="mrs_01_0598__p11666134091215"><strong id="mrs_01_0598__b1551692976">-yj,--yarnjar &lt;arg&gt;</strong>: Sets the path to Flink jar file.</p>
+<p id="mrs_01_0598__p12666240121218"><strong id="mrs_01_0598__b793613916717">-yjm,--yarnjobManagerMemory &lt;arg&gt;</strong>: Sets the JobManager memory (MB).</p>
+<p id="mrs_01_0598__p0666134071220"><strong id="mrs_01_0598__b789910441083">-ynm,--yarnname &lt;arg&gt;</strong>: Customizes a name for the application on Yarn.</p>
+<p id="mrs_01_0598__p166604012125"><strong id="mrs_01_0598__b14581981699">-yq,--yarnquery</strong>: Queries available Yarn resources (memory and CPUs).</p>
+<p id="mrs_01_0598__p26661240121211"><strong id="mrs_01_0598__b1577514304912">-yqu,--yarnqueue &lt;arg&gt;</strong>: Specifies a Yarn queue.</p>
+<p id="mrs_01_0598__p86669405127"><strong id="mrs_01_0598__b115125372092">-ys,--yarnslots</strong>: Sets the number of slots for each TaskManager.</p>
+<p id="mrs_01_0598__p26665407124"><strong id="mrs_01_0598__b47703425912">-yt,--yarnship &lt;arg&gt;</strong>: Specifies the path of the file to be sent.</p>
+<p id="mrs_01_0598__p966624015128"><strong id="mrs_01_0598__b145396521093">-ytm,--yarntaskManagerMemory &lt;arg&gt;</strong>: Sets the TaskManager memory (MB).</p>
+<p id="mrs_01_0598__p7666154041216"><strong id="mrs_01_0598__b89278651014">-yz,--yarnzookeeperNamespace &lt;arg&gt;</strong>: Specifies the namespace of ZooKeeper. The value must be the same as the value of <strong id="mrs_01_0598__b393313612108">yarn-session.sh -z</strong>.</p>
+<p id="mrs_01_0598__p8666134011217"><strong id="mrs_01_0598__b15477201516106">-h</strong>: Gets help information.</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.83268326832683%" headers="mcps1.3.3.4.2.1.2.4.1.3 "><p id="mrs_01_0598__p20666144013122">Submit a Flink job.</p>
+<p id="mrs_01_0598__p6666164041220">1. The <strong id="mrs_01_0598__b397143218101">-y*</strong> parameter is used in the <strong id="mrs_01_0598__b1997653213102">yarn-cluster</strong> mode.</p>
+<p id="mrs_01_0598__p866617403121">2. If the parameter is not <strong id="mrs_01_0598__b1415816393107">-y*</strong>, you need to run the <strong id="mrs_01_0598__b11633391108">yarn-session</strong> command to start the Flink cluster before running this command to submit a task.</p>
+</td>
+</tr>
+<tr id="mrs_01_0598__row196662400129"><td class="cellrowborder" valign="top" width="17.491749174917494%" headers="mcps1.3.3.4.2.1.2.4.1.1 "><p id="mrs_01_0598__p146666406129">flink info</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.67556755675567%" headers="mcps1.3.3.4.2.1.2.4.1.2 "><p id="mrs_01_0598__p166661040141215"><strong id="mrs_01_0598__b1040117371120">-c,--class &lt;classname&gt;</strong>: Specifies a class as the entry for running programs.</p>
+<p id="mrs_01_0598__p6666194051216"><strong id="mrs_01_0598__b14309413122">-p,--parallelism &lt;parallelism&gt;</strong>: Specifies the DOP for running programs.</p>
+<p id="mrs_01_0598__p1766615404129"><strong id="mrs_01_0598__b11756143413124">-h</strong>: Gets help information.</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.83268326832683%" headers="mcps1.3.3.4.2.1.2.4.1.3 "><p id="mrs_01_0598__p15666940161210">Display the execution plan (JSON) of the running program.</p>
+</td>
+</tr>
+<tr id="mrs_01_0598__row1966620404121"><td class="cellrowborder" valign="top" width="17.491749174917494%" headers="mcps1.3.3.4.2.1.2.4.1.1 "><p id="mrs_01_0598__p26661440181210">flink list</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.67556755675567%" headers="mcps1.3.3.4.2.1.2.4.1.2 "><p id="mrs_01_0598__p2080113346583"><strong id="mrs_01_0598__b92269983312">-a,--all</strong>: displays all jobs.</p>
+<p id="mrs_01_0598__p1666704016124"><strong id="mrs_01_0598__b1352095013132">-m,--jobmanager &lt;host:port&gt;</strong>: specifies the JobManager.</p>
+<p id="mrs_01_0598__p1966716406124"><strong id="mrs_01_0598__b1779253101316">-r,--running:</strong> displays only jobs in the running state.</p>
+<p id="mrs_01_0598__p1066718409128"><strong id="mrs_01_0598__b18801101411145">-s,--scheduled</strong>: displays only jobs in the scheduled state.</p>
+<p id="mrs_01_0598__p7667104031218"><strong id="mrs_01_0598__b17214102418140">-z,--zookeeperNamespace &lt;zookeeperNamespace&gt;</strong>: specifies the namespace of ZooKeeper.</p>
+<p id="mrs_01_0598__p8667840141220"><strong id="mrs_01_0598__b122551828131414">-yid,--yarnapplicationId &lt;arg&gt;</strong>: binds a job to a Yarn session.</p>
+<p id="mrs_01_0598__p76671940201213"><strong id="mrs_01_0598__b553016338147">-h</strong>: gets help information.</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.83268326832683%" headers="mcps1.3.3.4.2.1.2.4.1.3 "><p id="mrs_01_0598__p1066710408129">Query running programs in the cluster.</p>
+</td>
+</tr>
+<tr id="mrs_01_0598__row196671040171216"><td class="cellrowborder" valign="top" width="17.491749174917494%" headers="mcps1.3.3.4.2.1.2.4.1.1 "><p id="mrs_01_0598__p76674408126">flink stop</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.67556755675567%" headers="mcps1.3.3.4.2.1.2.4.1.2 "><p id="mrs_01_0598__p19051445144410"><strong id="mrs_01_0598__b184181037163311">-d,--drain</strong>: sends MAX_WATERMARK before the savepoint is triggered and the job is stopped.</p>
+<p id="mrs_01_0598__p1216545415462"><strong id="mrs_01_0598__b430663912387">-p,--savepointPath &lt;savepointPath&gt;</strong>: path for storing savepoints. The default value is <strong id="mrs_01_0598__b101307491385">state.savepoints.dir</strong>.</p>
+<p id="mrs_01_0598__p206671040131217"><strong id="mrs_01_0598__b6201053161410">-m,--jobmanager &lt;host:port&gt;</strong>: specifies the JobManager.</p>
+<p id="mrs_01_0598__p066724011128"><strong id="mrs_01_0598__b107333547147">-z,--zookeeperNamespace &lt;zookeeperNamespace&gt;</strong>: specifies the namespace of ZooKeeper.</p>
+<p id="mrs_01_0598__p366710405126"><strong id="mrs_01_0598__b04855564142">-yid,--yarnapplicationId &lt;arg&gt;</strong>: binds a job to a Yarn session.</p>
+<p id="mrs_01_0598__p1766713402129"><strong id="mrs_01_0598__b1115010313155">-h</strong>: gets help information.</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.83268326832683%" headers="mcps1.3.3.4.2.1.2.4.1.3 "><p id="mrs_01_0598__p6310236191215">Forcibly stop a running job (only streaming jobs are supported. <strong id="mrs_01_0598__b16728105819266">StoppableFunction</strong> needs to be implemented on the source side in service code).</p>
+</td>
+</tr>
+<tr id="mrs_01_0598__row20667144020128"><td class="cellrowborder" valign="top" width="17.491749174917494%" headers="mcps1.3.3.4.2.1.2.4.1.1 "><p id="mrs_01_0598__p66671140171214">flink cancel</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.67556755675567%" headers="mcps1.3.3.4.2.1.2.4.1.2 "><p id="mrs_01_0598__p176671640161210"><strong id="mrs_01_0598__b81777145270">-m,--jobmanager &lt;host:port&gt;</strong>: specifies the JobManager.</p>
+<p id="mrs_01_0598__p3667204017121"><strong id="mrs_01_0598__b1535616172273">-s,--withSavepoint &lt;targetDirectory&gt;</strong>: triggers a savepoint when a job is canceled. The default directory is <strong id="mrs_01_0598__b03579176276">state.savepoints.dir</strong>.</p>
+<p id="mrs_01_0598__p14667040201212"><strong id="mrs_01_0598__b1334375082718">-z,--zookeeperNamespace &lt;zookeeperNamespace&gt;</strong>: specifies the namespace of ZooKeeper.</p>
+<p id="mrs_01_0598__p466717409125"><strong id="mrs_01_0598__b5944195118273">-yid,--yarnapplicationId &lt;arg&gt;</strong>: binds a job to a Yarn session.</p>
+<p id="mrs_01_0598__p266714019127"><strong id="mrs_01_0598__b1756185482716">-h</strong>: gets help information.</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.83268326832683%" headers="mcps1.3.3.4.2.1.2.4.1.3 "><p id="mrs_01_0598__p14667174010127">Cancel a running job.</p>
+</td>
+</tr>
+<tr id="mrs_01_0598__row2667340161211"><td class="cellrowborder" valign="top" width="17.491749174917494%" headers="mcps1.3.3.4.2.1.2.4.1.1 "><p id="mrs_01_0598__p36673402126">flink savepoint</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.67556755675567%" headers="mcps1.3.3.4.2.1.2.4.1.2 "><p id="mrs_01_0598__p1466719406125"><strong id="mrs_01_0598__b967725832718">-d,--dispose &lt;arg&gt;</strong>: specifies a directory for storing the savepoint.</p>
+<p id="mrs_01_0598__p116677406121"><strong id="mrs_01_0598__b283514158287">-m,--jobmanager &lt;host:port&gt;</strong>: specifies the JobManager.</p>
+<p id="mrs_01_0598__p76673402128"><strong id="mrs_01_0598__b204111217132814">-z,--zookeeperNamespace &lt;zookeeperNamespace&gt;</strong>: specifies the namespace of ZooKeeper.</p>
+<p id="mrs_01_0598__p206678404125"><strong id="mrs_01_0598__b16438319112810">-yid,--yarnapplicationId &lt;arg&gt;</strong>: binds a job to a Yarn session.</p>
+<p id="mrs_01_0598__p1667114012124"><strong id="mrs_01_0598__b96282162814">-h</strong>: gets help information.</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.83268326832683%" headers="mcps1.3.3.4.2.1.2.4.1.3 "><p id="mrs_01_0598__p26671340111212">Trigger a savepoint.</p>
+</td>
+</tr>
+<tr id="mrs_01_0598__row196671440191210"><td class="cellrowborder" valign="top" width="17.491749174917494%" headers="mcps1.3.3.4.2.1.2.4.1.1 "><p id="mrs_01_0598__p1966894016124"><strong id="mrs_01_0598__b13376624162817">source</strong> <em id="mrs_01_0598__i18377172411288">Client installation directory</em><strong id="mrs_01_0598__b14377172482814">/bigdata_env</strong></p>
+</td>
+<td class="cellrowborder" valign="top" width="55.67556755675567%" headers="mcps1.3.3.4.2.1.2.4.1.2 "><p id="mrs_01_0598__p19668124071210">None</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.83268326832683%" headers="mcps1.3.3.4.2.1.2.4.1.3 "><p id="mrs_01_0598__p106686404129">Import client environment variables.</p>
+<p id="mrs_01_0598__p866810404126">Restriction: If the user uses a custom script (for example, <strong id="mrs_01_0598__b8954123417289">A.sh</strong>) and runs this command in the script, variables cannot be imported to the <strong id="mrs_01_0598__b3959534192820">A.sh</strong> script. If variables need to be imported to the custom script <strong id="mrs_01_0598__b6187713298">A.sh</strong>, the user needs to use the secondary calling method.</p>
+<p id="mrs_01_0598__p15668840141212">For example, first call the <strong id="mrs_01_0598__b1696414020296">B.sh</strong> script in the <strong id="mrs_01_0598__b796912408297">A.sh</strong> script, and then run this command in the <strong id="mrs_01_0598__b119701840202919">B.sh</strong> script. Parameters can be imported to the <strong id="mrs_01_0598__b98081343014">A.sh</strong> script but cannot be imported to the <strong id="mrs_01_0598__b18131634306">B.sh</strong> script.</p>
+</td>
+</tr>
+<tr id="mrs_01_0598__row1682194612319"><td class="cellrowborder" valign="top" width="17.491749174917494%" headers="mcps1.3.3.4.2.1.2.4.1.1 "><p id="mrs_01_0598__p13624041424">start-scala-shell.sh</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.67556755675567%" headers="mcps1.3.3.4.2.1.2.4.1.2 "><p id="mrs_01_0598__p56251441822">local | remote &lt;host&gt; &lt;port&gt; | yarn: running mode</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.83268326832683%" headers="mcps1.3.3.4.2.1.2.4.1.3 "><p id="mrs_01_0598__p1262510414211">Start the scala shell.</p>
+</td>
+</tr>
+<tr id="mrs_01_0598__row996022135716"><td class="cellrowborder" valign="top" width="17.491749174917494%" headers="mcps1.3.3.4.2.1.2.4.1.1 "><p id="mrs_01_0598__p59601821185711">sh generate_keystore.sh</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.67556755675567%" headers="mcps1.3.3.4.2.1.2.4.1.2 "><p id="mrs_01_0598__p996012114576">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.83268326832683%" headers="mcps1.3.3.4.2.1.2.4.1.3 "><p id="mrs_01_0598__p796018218571">Run the <strong id="mrs_01_0598__b1413611359206">generate_keystore.sh</strong> script to generate security cookie, <strong id="mrs_01_0598__b18140113518207">flink.keystore</strong>, and <strong id="mrs_01_0598__b1414013512016">flink.truststore</strong>. You need to enter a user-defined password that does not contain number signs (#).</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li></ol>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0591.html">Using Flink</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0599.html b/docs/mrs/component-operation-guide/mrs_01_0599.html
new file mode 100644
index 000000000..7f56273de
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0599.html
@@ -0,0 +1,17 @@
+<a name="mrs_01_0599"></a><a name="mrs_01_0599"></a>
+
+
+  <h1 class="topictitle1">Using OpenTSDB</h1>
+
+  <div id="body1589421654460"><p id="mrs_01_0599__p8060118"></p>
+</div>
+
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_0471.html">Using an MRS Client to Operate OpenTSDB Metric Data</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0472.html">Running the curl Command to Operate OpenTSDB</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0625.html b/docs/mrs/component-operation-guide/mrs_01_0625.html
new file mode 100644
index 000000000..5c9cedf2b
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0625.html
@@ -0,0 +1,52 @@
+<a name="mrs_01_0625"></a><a name="mrs_01_0625"></a>
+
+<h1 class="topictitle1">Why Does the LoadIncrementalHFiles Tool Fail to Be Executed and "Permission denied" Is Displayed When Nodes in a Cluster Are Used to Import Data in Batches?</h1>
+<div id="body1600571305226"><div class="section" id="mrs_01_0625__s0d75574469bd460f87878b6f2e2d2866"><h4 class="sectiontitle">Question</h4><p id="mrs_01_0625__p154064411257">Why does the LoadIncrementalHFiles tool fail to be executed and "Permission denied" is displayed when a Linux user is manually created in a normal cluster and DataNode in the cluster is used to import data in batches?</p>
+<pre class="screen" id="mrs_01_0625__screen57210392546">2020-09-20 14:53:53,808 WARN  [main] shortcircuit.DomainSocketFactory: error creating DomainSocket
+java.net.ConnectException: connect(2) error: Permission denied when trying to connect to '/var/run/FusionInsight-HDFS/dn_socket'
+	at org.apache.hadoop.net.unix.DomainSocket.connect0(Native Method)
+	at org.apache.hadoop.net.unix.DomainSocket.connect(DomainSocket.java:256)
+	at org.apache.hadoop.hdfs.shortcircuit.DomainSocketFactory.createSocket(DomainSocketFactory.java:168)
+	at org.apache.hadoop.hdfs.client.impl.BlockReaderFactory.nextDomainPeer(BlockReaderFactory.java:804)
+	at org.apache.hadoop.hdfs.client.impl.BlockReaderFactory.createShortCircuitReplicaInfo(BlockReaderFactory.java:526)
+	at org.apache.hadoop.hdfs.shortcircuit.ShortCircuitCache.create(ShortCircuitCache.java:785)
+	at org.apache.hadoop.hdfs.shortcircuit.ShortCircuitCache.fetchOrCreate(ShortCircuitCache.java:722)
+	at org.apache.hadoop.hdfs.client.impl.BlockReaderFactory.getBlockReaderLocal(BlockReaderFactory.java:483)
+	at org.apache.hadoop.hdfs.client.impl.BlockReaderFactory.build(BlockReaderFactory.java:360)
+	at org.apache.hadoop.hdfs.DFSInputStream.getBlockReader(DFSInputStream.java:663)
+	at org.apache.hadoop.hdfs.DFSInputStream.blockSeekTo(DFSInputStream.java:594)
+	at org.apache.hadoop.hdfs.DFSInputStream.readWithStrategy(DFSInputStream.java:776)
+	at org.apache.hadoop.hdfs.DFSInputStream.read(DFSInputStream.java:845)
+	at java.io.DataInputStream.readFully(DataInputStream.java:195)
+	at org.apache.hadoop.hbase.io.hfile.FixedFileTrailer.readFromStream(FixedFileTrailer.java:401)
+	at org.apache.hadoop.hbase.io.hfile.HFile.isHFileFormat(HFile.java:651)
+	at org.apache.hadoop.hbase.io.hfile.HFile.isHFileFormat(HFile.java:634)
+	at org.apache.hadoop.hbase.tool.LoadIncrementalHFiles.visitBulkHFiles(LoadIncrementalHFiles.java:1090)
+	at org.apache.hadoop.hbase.tool.LoadIncrementalHFiles.discoverLoadQueue(LoadIncrementalHFiles.java:1006)
+	at org.apache.hadoop.hbase.tool.LoadIncrementalHFiles.prepareHFileQueue(LoadIncrementalHFiles.java:257)
+	at org.apache.hadoop.hbase.tool.LoadIncrementalHFiles.doBulkLoad(LoadIncrementalHFiles.java:364)
+	at org.apache.hadoop.hbase.tool.LoadIncrementalHFiles.run(LoadIncrementalHFiles.java:1263)
+	at org.apache.hadoop.hbase.tool.LoadIncrementalHFiles.run(LoadIncrementalHFiles.java:1276)
+	at org.apache.hadoop.hbase.tool.LoadIncrementalHFiles.run(LoadIncrementalHFiles.java:1311)
+	at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:76)
+	at org.apache.hadoop.hbase.tool.LoadIncrementalHFiles.main(LoadIncrementalHFiles.java:1333)</pre>
+</div>
+<div class="section" id="mrs_01_0625__section9854113819918"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_0625__p13100330172619">If the client that the LoadIncrementalHFiles tool depends on is installed in the cluster and is on the same node as DataNode, HDFS creates short-circuit read during the execution of the tool to improve performance. The short-circuit read depends on the <strong id="mrs_01_0625__b12895115145410">/var/run/FusionInsight-HDFS</strong> directory (<strong id="mrs_01_0625__b11440954155417">dfs.domain.socket.path</strong>). The default permission on this directory is <strong id="mrs_01_0625__b12696205813546">750</strong>. This user does not have the permission to operate the directory.</p>
+<p id="mrs_01_0625__p123131815194011">To solve the preceding problem, perform the following operations:</p>
+<p id="mrs_01_0625__p13776126183610">Method 1: Create a user (recommended).</p>
+<ol id="mrs_01_0625__ol84371210114011"><li id="mrs_01_0625__l57959cf11dc74b388d62a55b172f9fa6"><span>Create a user on Manager. By default, the user group contains the <strong id="mrs_01_0625__b1411161718586">ficommon</strong> group.</span><p><pre class="screen" id="mrs_01_0625__screen1084192916499">[root@xxx-xxx-xxx-xxx ~]# id test
+uid=20038(test) gid=9998(ficommon) groups=9998(ficommon)</pre>
+</p></li><li id="mrs_01_0625__li124971844104312"><span>Import data again.</span></li></ol>
+<p id="mrs_01_0625__p525610163916">Method 2: Change the owner group of the current user.</p>
+<ol id="mrs_01_0625__ol32521012393"><li id="mrs_01_0625__li1825410153911"><span>Add the user to the <strong id="mrs_01_0625__b145732313595">ficommon</strong> group.</span><p><pre class="screen" id="mrs_01_0625__screen17533125384315">[root@xxx-xxx-xxx-xxx ~]# usermod -a -G ficommon test
+[root@xxx-xxx-xxx-xxx ~]# id test
+uid=2102(test) gid=2102(test) groups=2102(test),9998(ficommon)</pre>
+</p></li><li id="mrs_01_0625__li1425210123918"><span>Import data again.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1638.html">Common Issues About HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0635.html b/docs/mrs/component-operation-guide/mrs_01_0635.html
new file mode 100644
index 000000000..3fa158a58
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0635.html
@@ -0,0 +1,46 @@
+<a name="mrs_01_0635"></a><a name="mrs_01_0635"></a>
+
+<h1 class="topictitle1">Using Presto to Dump Data in DLF</h1>
+<div id="body1589421630835"><div class="section" id="mrs_01_0635__section17912151442419"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_0635__ul98691357245"><li id="mrs_01_0635__li73511011313">The Presto component has been installed in an MRS cluster.</li><li id="mrs_01_0635__li8425103922415">You have synchronized IAM users. (On the <strong id="mrs_01_0635__b9684213115016">Dashboard</strong> page, click <strong id="mrs_01_0635__b10684161311509">Synchronize</strong> on the right side of <span class="parmname" id="mrs_01_0635__parmname2684113145010"><b>IAM User Sync</b></span> to synchronize IAM users.)</li><li id="mrs_01_0635__li188756224307">You have the permission to operate the OBS file system. For details, see  and .</li><li id="mrs_01_0635__li14547844685">The Presto permission has been configured. For details, see <a href="mrs_01_0636.html">Configuring Presto Permissions</a>.</li></ul>
+</div>
+<div class="section" id="mrs_01_0635__section2028018713307"><a name="mrs_01_0635__section2028018713307"></a><a name="section2028018713307"></a><h4 class="sectiontitle">Creating a Data Connection of the MRS PrestoSQL Type in DLF</h4><ol id="mrs_01_0635__ol159629614337"><li id="mrs_01_0635__li7378101814911"><span>In the left navigation pane of the DLF console, choose <strong id="mrs_01_0635__b74665891692625">Connection</strong> &gt; <strong id="mrs_01_0635__b182127738592625">Manage Connection</strong>.</span></li><li id="mrs_01_0635__li72777013913"><span>In the upper right corner of the page, click <span class="uicontrol" id="mrs_01_0635__uicontrol196682002992625"><b>Create Data Connection</b></span>.</span></li><li id="mrs_01_0635__li1788311514143"><span>Set parameters according to <a href="#mrs_01_0635__table487712591418">Table 1</a>.</span><p>
+<div class="tablenoborder"><a name="mrs_01_0635__table487712591418"></a><a name="table487712591418"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0635__table487712591418" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters for creating a data connection</caption><thead align="left"><tr id="mrs_01_0635__row287813541410"><th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.2.2.3.2.1.2.3.1.1"><p id="mrs_01_0635__p1687816512140">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.2.2.3.2.1.2.3.1.2"><p id="mrs_01_0635__p387814518143">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0635__row1787911511142"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.2.2.3.2.1.2.3.1.1 "><p id="mrs_01_0635__p08791552148">Data Connection Type</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.2.2.3.2.1.2.3.1.2 "><p id="mrs_01_0635__p987913531417">Select <strong id="mrs_01_0635__b42641299492625">MRS PrestoSQL</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_0635__row387935191413"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.2.2.3.2.1.2.3.1.1 "><p id="mrs_01_0635__p1187965151415">Data Connection Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.2.2.3.2.1.2.3.1.2 "><p id="mrs_01_0635__p1687995101419">Name of the data connection to be created, which contains 1 to 100 characters and consists of only letters, digits, underscores (_), and hyphens (-).</p>
+</td>
+</tr>
+<tr id="mrs_01_0635__row1987914510149"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.2.2.3.2.1.2.3.1.1 "><p id="mrs_01_0635__p187918519147">Cluster Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.2.2.3.2.1.2.3.1.2 "><p id="mrs_01_0635__p18793551410">Name of the MRS cluster to which Presto belongs.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_0635__li16832892012"><span>Click <strong id="mrs_01_0635__en-us_topic_0141836082_b17516194608">Test</strong> to test connectivity of the data connection to be created. If the test passes, the data connection is created.</span></li><li id="mrs_01_0635__li1686817312117"><span>Click <strong id="mrs_01_0635__b797387892625">OK</strong>.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_0635__section5530207102217"><h4 class="sectiontitle">Creating and Executing SQL Scripts on the DLF Script Development Page</h4><div class="caution" id="mrs_01_0635__note1677803018259"><span class="cautiontitle"><img src="public_sys-resources/caution_3.0-en-us.png"> </span><div class="cautionbody"><p id="mrs_01_0635__p1168625011257">In this scenario, the query results dumped to OBS can be retained for a maximum of 10,000 times. If the number of query times exceeds 10,000, the historical query results are automatically aged based on the query time sequence. To prevent data loss, exercise caution when performing this operation.</p>
+</div></div>
+<ol id="mrs_01_0635__ol104011733102213"><li id="mrs_01_0635__li72071044182210"><span>In the left navigation pane of the <span id="mrs_01_0635__text186026091792625">DLF</span> console, choose <span class="menucascade" id="mrs_01_0635__menucascade171199428692625"><b><span class="uicontrol" id="mrs_01_0635__uicontrol77521333392625"><span id="mrs_01_0635__text162664132992625">Development</span></span></b> &gt; <b><span class="uicontrol" id="mrs_01_0635__uicontrol7236490292625"><span id="mrs_01_0635__text90217312792625">Develop Script</span></span></b></span>.</span></li><li id="mrs_01_0635__li715913663419"><span>In the right pane, click <strong id="mrs_01_0635__b87050348992625">Create SQL Script</strong> and select <strong id="mrs_01_0635__b160581340592625">Presto</strong>.</span></li><li id="mrs_01_0635__li7539305434"><span>In the upper right part of the editor, select the connection created in <a href="#mrs_01_0635__section2028018713307">Creating a Data Connection of the MRS PrestoSQL Type in DLF</a> from the <strong id="mrs_01_0635__b124263937892625">Connection</strong> drop-down list.</span></li><li id="mrs_01_0635__li589410994614"><span>In the upper right part of the editor, select the schema from the <strong id="mrs_01_0635__b47557296892625">Schema</strong> drop-down list box.</span></li><li id="mrs_01_0635__li1239225664615"><span>Enter one or more SQL statements in the editor. If you need to run a specified SQL statement separately, select the SQL statement before running it.</span></li><li id="mrs_01_0635__li68735634910"><span>In the upper part of the editor, click <span class="uicontrol" id="mrs_01_0635__uicontrol176275343492625"><b>Execute</b></span>. After executing the SQL statement, view the execution history and result of the script in the lower part of the editor.</span><p><div class="note" id="mrs_01_0635__note2016713392494"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0635__ul18453153514502"><li id="mrs_01_0635__li114537358501">Administrator operations are not supported. That is, all commands that can be executed only after the <strong id="mrs_01_0635__b157784968392625">set role admin</strong> command is executed are not supported.</li><li id="mrs_01_0635__li184900145228">Each statement is executed independently. Therefore, the statement with context settings (for example, <strong id="mrs_01_0635__b102091227192625">use</strong>) does not take effect after being executed.</li><li id="mrs_01_0635__li10628537205016">When Presto authorization is enabled, the default permissions of various users are as follows:<ul id="mrs_01_0635__ul5694554144912"><li id="mrs_01_0635__li069415424913">All users have the read/write permissions on the <strong id="mrs_01_0635__b168775841392625">mrs_reserved</strong> database in Hive by default.</li><li id="mrs_01_0635__li1969410549490">All IAM users with the MRS CommonOperations, MRS FullAccess, MRS Administrator, and Tenant Administrator policies have read/write permission on the <strong id="mrs_01_0635__b165809830692625">default</strong> database in Hive, and users with the MRS ReadOnlyAccess policy have read-only permission on the database.</li><li id="mrs_01_0635__li6694135414499">User <strong id="mrs_01_0635__b211078132392625">admin</strong> of the cluster and IAM users with the MRS FullAccess, MRS Administrator, and Tenant Administrator policies have the <strong id="mrs_01_0635__b47256947192625">admin</strong> role permission on the Hive database.</li></ul>
+</li></ul>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0432.html">Using Presto</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0636.html b/docs/mrs/component-operation-guide/mrs_01_0636.html
new file mode 100644
index 000000000..3977c12d9
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+++ b/docs/mrs/component-operation-guide/mrs_01_0636.html
@@ -0,0 +1,18 @@
+<a name="mrs_01_0636"></a><a name="mrs_01_0636"></a>
+
+<h1 class="topictitle1">Configuring Presto Permissions</h1>
+<div id="body1589421630838"><p id="mrs_01_0636__p155979423910">MRS 3.<em id="mrs_01_0636__i1082317359413">x</em> does not enable you to configure Presto permissions.</p>
+<div class="section" id="mrs_01_0636__section03361729163916"><h4 class="sectiontitle">Configuring Presto Permissions in a Security Cluster</h4><p id="mrs_01_0636__p1531104191913">By default, the Hive Catalog authorization of the Presto component is enabled in a security cluster. The Presto permission configuration procedure is as follows:</p>
+<ol id="mrs_01_0636__ol6313817195"><li id="mrs_01_0636__li814216176193"><span>Log in to Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>.</span></li><li id="mrs_01_0636__li104128181912"><span>Choose <strong id="mrs_01_0636__b106182184093028">System</strong> &gt; <strong id="mrs_01_0636__b121872895693028">Manage Role</strong>, configure a role that has the Hive database/table permissions, and bind the role to the user.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_0636__section1790764493916"><h4 class="sectiontitle">Configuring Presto Permissions in a Normal Cluster</h4><p id="mrs_01_0636__p15506162317524">By default, Presto authorization is not enabled in a normal cluster. You need to manually configure Presto permissions as follows:</p>
+<ol id="mrs_01_0636__ol17197203175318"><li id="mrs_01_0636__li171774441884"><span>Go to the MRS cluster details page.</span></li><li id="mrs_01_0636__li17197733533"><span>Choose <strong id="mrs_01_0636__b109914350593028">Components</strong> &gt; <strong id="mrs_01_0636__b191944549793028">Hive</strong>. Set <strong id="mrs_01_0636__b29873545793028">Type</strong> to <strong id="mrs_01_0636__b21458920893028">All</strong>. On the displayed Hive configuration page, modify parameter settings.</span></li><li id="mrs_01_0636__li721712295218"><span>Search for and modify the following parameters:</span><p><ul id="mrs_01_0636__ul463074310217"><li id="mrs_01_0636__li1045920501626">Set <strong id="mrs_01_0636__b108117316593028">hive.security.authorization.enabled</strong> to <strong id="mrs_01_0636__b8293409193028">true</strong>.</li><li id="mrs_01_0636__li1563014437214">Set <strong id="mrs_01_0636__b117378847193028">hive.security.authorization.manager</strong> to <strong id="mrs_01_0636__b197437124093028">org.apache.hadoop.hive.ql.security.authorization.plugin.sqlstd.SQLStdHiveAuthorizerFactory</strong>.</li></ul>
+</p></li><li id="mrs_01_0636__li1532517564455"><span>Click <strong id="mrs_01_0636__b52646171793028">Save Configuration</strong> and select <strong id="mrs_01_0636__b51213745693028">Restart the affected services or instances</strong> to restart the Hive service.</span></li><li id="mrs_01_0636__li1393214118917"><span>Choose <strong id="mrs_01_0636__b209978941393028">Components</strong> &gt; <strong id="mrs_01_0636__b127148025693028">Presto</strong>. Set <strong id="mrs_01_0636__b49475670793028">Type</strong> to <strong id="mrs_01_0636__b78378674793028">All</strong>. On the displayed Presto configuration page, modify parameter settings.</span></li><li id="mrs_01_0636__li1192519457919"><span>Search for and modify the value of <strong id="mrs_01_0636__b126386896593028">hive.security</strong> to <strong id="mrs_01_0636__b51646296293028">sql-standard-with-group</strong>.</span></li><li id="mrs_01_0636__li160155616129"><span>Click <strong id="mrs_01_0636__b168930725993028">Save Configuration</strong> and select <strong id="mrs_01_0636__b171588423993028">Restart the affected services or instances</strong> to restart the Presto service.</span></li><li id="mrs_01_0636__li1097515101131"><span>Logging in to MRS Manager</span></li><li id="mrs_01_0636__li17116437137"><span>Choose <strong id="mrs_01_0636__b213982138193028">System</strong> &gt; <strong id="mrs_01_0636__b165639614993028">Change OMS Database Password</strong> &gt; <strong id="mrs_01_0636__b176754749193028">Restart the OMS service</strong>.</span></li><li id="mrs_01_0636__li657016892212"><span>Choose <strong id="mrs_01_0636__b145025557893028">System</strong> &gt; <strong id="mrs_01_0636__b17175869293028">Manage Role</strong>, configure a role that has the Hive database/table permissions, and bind the role to the user.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0432.html">Using Presto</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0756.html b/docs/mrs/component-operation-guide/mrs_01_0756.html
new file mode 100644
index 000000000..6fe8c6810
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+++ b/docs/mrs/component-operation-guide/mrs_01_0756.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_0756"></a><a name="mrs_01_0756"></a>
+
+<h1 class="topictitle1">Using Alluxio</h1>
+<div id="body1589421645505"><p id="mrs_01_0756__p8060118"></p>
+</div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_0759.html">Configuring an Underlying Storage System</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0760.html">Accessing Alluxio Using a Data Application</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0757.html">Common Operations of Alluxio</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0757.html b/docs/mrs/component-operation-guide/mrs_01_0757.html
new file mode 100644
index 000000000..2e7b3028d
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@@ -0,0 +1,75 @@
+<a name="mrs_01_0757"></a><a name="mrs_01_0757"></a>
+
+<h1 class="topictitle1">Common Operations of Alluxio</h1>
+<div id="body1589421646586"><div class="section" id="mrs_01_0757__section1897373121617"><h4 class="sectiontitle">Preparations</h4><ol id="mrs_01_0757__ol12402192911716"><li id="mrs_01_0757__li540232921720">Create a cluster with Alluxio installed.</li><li id="mrs_01_0757__li1286930121811">Log in to the active Master node in a cluster as user <strong id="mrs_01_0757__b2081798379741">root</strong> using the password set during cluster creation.</li><li id="mrs_01_0757__li4119133341810">Run the following command to configure environment variables:<p id="mrs_01_0757__p114799417597"><a name="mrs_01_0757__li4119133341810"></a><a name="li4119133341810"></a><strong id="mrs_01_0757__b195093717188">source /opt/client/bigdata_env</strong></p>
+</li></ol>
+</div>
+<div class="section" id="mrs_01_0757__section173691030181412"><h4 class="sectiontitle">Using the Alluxio Shell</h4><p id="mrs_01_0757__p97661623111612">The <a href="https://docs.alluxio.io/os/user/2.0/en/basic/Command-Line-Interface.html" target="_blank" rel="noopener noreferrer">Alluxio shell</a> contains multiple command line operations that interact with Alluxio.</p>
+<ul id="mrs_01_0757__ul48082262169"><li id="mrs_01_0757__li108081826101617">View a file system operation command list:<p id="mrs_01_0757__p45291425182813"><a name="mrs_01_0757__li108081826101617"></a><a name="li108081826101617"></a><b><span class="cmdname" id="mrs_01_0757__cmdname228514107292">alluxio fs</span></b></p>
+</li><li id="mrs_01_0757__li7905133917165">Run the <strong id="mrs_01_0757__b14388193415117">ls</strong> command to list the files in Alluxio. For example, list all files in the root directory:<p id="mrs_01_0757__p13888123432810"><b><span class="cmdname" id="mrs_01_0757__cmdname817814902818">alluxio fs ls /</span></b></p>
+</li><li id="mrs_01_0757__li5541163312185">Run the <strong id="mrs_01_0757__b455558087741">copyFromLocal</strong> command to copy local files to Alluxio:<p id="mrs_01_0757__p889372912298"><b><span class="cmdname" id="mrs_01_0757__cmdname1370154217293">alluxio fs copyFromLocal /home/test_input.txt /test_input.txt</span></b></p>
+<div class="p" id="mrs_01_0757__p315035214293">Command output:<pre class="screen" id="mrs_01_0757__screen647342142912">Copied file:///home/test_input.txt to /test_input.txt</pre>
+</div>
+</li><li id="mrs_01_0757__li690045611194">Run the <strong id="mrs_01_0757__b281871618741">ls</strong> command again to list the files in Alluxio. The copied <strong id="mrs_01_0757__b1969681347741">test_input.txt</strong> file is listed:<p id="mrs_01_0757__p1686003983110"><b><span class="cmdname" id="mrs_01_0757__cmdname19649134613314">alluxio fs ls /</span></b></p>
+<div class="p" id="mrs_01_0757__p434413583211">Command output:<pre class="screen" id="mrs_01_0757__screen1977863712312">12       PERSISTED 11-28-2019 17:10:17:449 100% /test_input.txt</pre>
+</div>
+<p id="mrs_01_0757__p67780379318">The <strong id="mrs_01_0757__b1641880488741">test_input.txt</strong> file is displayed in Alluxio. The parameters in the file indicate the file size, whether the file is persistent, creation date, cache ratio of the file in Alluxio, and file name.</p>
+</li><li id="mrs_01_0757__li1948210508213">Run the <strong id="mrs_01_0757__b973328303741">cat</strong> command to print file content:<p id="mrs_01_0757__p2856155511352"><b><span class="cmdname" id="mrs_01_0757__cmdname13460137203615">alluxio fs cat /test_input.txt</span></b></p>
+<div class="p" id="mrs_01_0757__p5540636367">Command output:<pre class="screen" id="mrs_01_0757__screen4481205303519">Test Alluxio</pre>
+</div>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_0757__section0330205781418"><h4 class="sectiontitle">Mounting Function of Alluxio</h4><p id="mrs_01_0757__p2380201410260">Alluxio uses a unified namespace feature to unify the access to storage systems. For details, see <a href="https://docs.alluxio.io/os/user/2.0/en/advanced/Namespace-Management.html" target="_blank" rel="noopener noreferrer">https://docs.alluxio.io/os/user/2.0/en/advanced/Namespace-Management.html</a>.</p>
+<p id="mrs_01_0757__p19553152262814">This feature allows users to mount different storage systems to an Alluxio namespace and seamlessly access files across storage systems through the Alluxio namespace.</p>
+<ol id="mrs_01_0757__ol1695177172411"><li id="mrs_01_0757__li109514710247">Create a directory as a mount point in Alluxio.<div class="p" id="mrs_01_0757__p8704177182414"><a name="mrs_01_0757__li109514710247"></a><a name="li109514710247"></a><strong id="mrs_01_0757__b16753141322418">alluxio fs mkdir /mnt</strong><pre class="screen" id="mrs_01_0757__screen87798202410">Successfully created directory /mnt</pre>
+</div>
+</li><li id="mrs_01_0757__li1842114221242">Mount an existing OBS file system to Alluxio. (Prerequisite: An agency with the <strong id="mrs_01_0757__b1438114421865">OBS OperateAccess</strong> permission has been configured for the cluster. The <strong id="mrs_01_0757__b166462913368">obs-mrstest</strong> file system is used as an example. Replace the file system name with the actual one.<div class="p" id="mrs_01_0757__p26283412911"><strong id="mrs_01_0757__b11796111102917">alluxio fs mount /mnt/obs obs://obs-mrstest/data</strong><pre class="screen" id="mrs_01_0757__screen174511202918">Mounted obs://obs-mrstest/data at /mnt/obs</pre>
+</div>
+</li><li id="mrs_01_0757__li14969163614260">List files in the OBS file system using the Alluxio namespace. Run the <strong id="mrs_01_0757__b442122152719">ls</strong> command to list the files in the OBS mount directory.<div class="p" id="mrs_01_0757__p16466113313012"><strong id="mrs_01_0757__b13475339193012">alluxio fs ls /mnt/obs</strong><pre class="screen" id="mrs_01_0757__screen15859431163019">38       PERSISTED 11-28-2019 17:42:54:554   0% /mnt/obs/hive_load.txt
+12       PERSISTED 11-28-2019 17:43:07:743   0% /mnt/obs/test_input.txt</pre>
+</div>
+<p id="mrs_01_0757__p11859203193015">You can also view the newly mounted files and directories on the Alluxio web UI.</p>
+</li><li id="mrs_01_0757__li86686241398">After the mounting is complete, you can seamlessly exchange data between different storage systems through the unified namespace of Alluxio. For example, run the <strong id="mrs_01_0757__b11218109121510">ls -R</strong> command to list all files in a directory recursively:<div class="p" id="mrs_01_0757__p839411345404"><strong id="mrs_01_0757__b95891255184011">alluxio fs ls -R /</strong><pre class="screen" id="mrs_01_0757__screen102691632144013">        0       PERSISTED 11-28-2019 11:15:19:719  DIR /app-logs
+        1       PERSISTED 11-28-2019 11:18:36:885  DIR /apps
+        1       PERSISTED 11-28-2019 11:18:40:209  DIR /apps/templeton
+239440292       PERSISTED 11-28-2019 11:18:40:209   0% /apps/templeton/hive.tar.gz
+.....
+        1       PERSISTED 11-28-2019 19:00:23:879  DIR /mnt
+        2       PERSISTED 11-28-2019 19:00:23:879  DIR /mnt/obs
+       38       PERSISTED 11-28-2019 17:42:54:554   0% /mnt/obs/hive_load.txt
+       12       PERSISTED 11-28-2019 17:43:07:743   0% /mnt/obs/test_input.txt
+.....</pre>
+</div>
+<p id="mrs_01_0757__p1526917327401">The command output shows all files that are from the mounted storage system in the root directory of the Alluxio file system (the default directory is the HDFS root directory, that is, <strong id="mrs_01_0757__b949391114156">hdfs://hacluster/</strong>). The <strong id="mrs_01_0757__b3478140152">/app-logs</strong> and <strong id="mrs_01_0757__b1147614131519">/apps</strong> directories are in HDFS, and the <strong id="mrs_01_0757__b347131412157">/mnt/obs/</strong> directory is in OBS.</p>
+</li></ol>
+<p id="mrs_01_0757__p7440934174"></p>
+</div>
+<div class="section" id="mrs_01_0757__section784202117153"><h4 class="sectiontitle">Using Alluxio to Accelerate Data Access</h4><p id="mrs_01_0757__p145654573215">Alluxio can accelerate data access, because it uses memory to store data. Example commands are provided as follows:</p>
+<ol id="mrs_01_0757__ol9263155015321"><li id="mrs_01_0757__li9263850183212">Upload the <strong id="mrs_01_0757__b404814853741">test_data.csv</strong> file (a sample that records recipes) to the <strong id="mrs_01_0757__b1287355128741">/data</strong> directory of the <strong id="mrs_01_0757__b542416378741">obs-mrstest</strong> file system. Run the <strong id="mrs_01_0757__b54801592331">ls</strong> command to display the file status.<div class="p" id="mrs_01_0757__p0418133054211"><strong id="mrs_01_0757__b8160173493013">alluxio fs ls /mnt/obs/test_data.csv</strong><pre class="screen" id="mrs_01_0757__screen686322854217">294520189       PERSISTED 11-28-2019 19:38:55:000   0% /mnt/obs/test_data.csv</pre>
+</div>
+<p id="mrs_01_0757__p1886392818422">The output indicates that the cache percentage of the file in Alluxio is 0%, that is, the file is not in Alluxio memory.</p>
+</li><li id="mrs_01_0757__li20345125116338">Count the occurrence times of the word "milk" in the file, and calculate the time consumed.<div class="p" id="mrs_01_0757__p413014425422"><a name="mrs_01_0757__li20345125116338"></a><a name="li20345125116338"></a><strong id="mrs_01_0757__b2411740143015">time alluxio fs cat /mnt/obs/test_data.csv | grep -c milk</strong><pre class="screen" id="mrs_01_0757__screen1650414409422">52180
+
+real    0m10.765s
+user    0m5.540s
+sys     0m0.696s</pre>
+</div>
+</li><li id="mrs_01_0757__li814431253715">Data is stored in memory after being read for the first time. When Alluxio reads data again, the data access speed is increased. For example, after running the <strong id="mrs_01_0757__b976217950741">cat</strong> command to obtain a file, run the <strong id="mrs_01_0757__b663137762741">ls</strong> command to check the file status.<div class="p" id="mrs_01_0757__p138018504446"><strong id="mrs_01_0757__b5584194633020">alluxio fs ls /mnt/obs/test_data.csv</strong><pre class="screen" id="mrs_01_0757__screen433184444410">294520189       PERSISTED 11-28-2019 19:38:55:000 100% /mnt/obs/test_data.csv</pre>
+</div>
+<p id="mrs_01_0757__p103311544204418">The output shows that the file has been fully loaded to Alluxio.</p>
+</li><li id="mrs_01_0757__li73311835143812">Access the file again, count the occurrence times of the word "eggs", and calculate the time consumed.<div class="p" id="mrs_01_0757__p55488198451"><a name="mrs_01_0757__li73311835143812"></a><a name="li73311835143812"></a><strong id="mrs_01_0757__b91701544303">time alluxio fs cat /mnt/obs/test_data.csv | grep -c eggs</strong><pre class="screen" id="mrs_01_0757__screen1551491794519">59510
+
+real    0m5.777s
+user    0m5.992s
+sys     0m0.592s</pre>
+</div>
+<p id="mrs_01_0757__p165145176459">According to the comparison of the two time consumption records, the time consumed for accessing data stored in Alluxio memory is significantly reduced.</p>
+</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0756.html">Using Alluxio</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0759.html b/docs/mrs/component-operation-guide/mrs_01_0759.html
new file mode 100644
index 000000000..2efde699c
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0759.html
@@ -0,0 +1,18 @@
+<a name="mrs_01_0759"></a><a name="mrs_01_0759"></a>
+
+<h1 class="topictitle1">Configuring an Underlying Storage System</h1>
+<div id="body1589421645515"><p id="mrs_01_0759__p8060118">If you want to use a unified client API and a global namespace to access persistent storage systems including HDFS and OBS to separate computing from storage, you can configure the underlying storage system of Alluxio on MRS Manager. After a cluster is created, the default underlying storage address is <strong id="mrs_01_0759__b78361198822433">hdfs://hacluster/</strong>, that is, the HDFS root directory is mapped to Alluxio.</p>
+<div class="section" id="mrs_01_0759__s5e180c6a1e264422a14ddfca7e340a74"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_0759__ud1be2cc3fdb84cb392b97f025e3510ce"><li id="mrs_01_0759__li254516208113">Alluxio has been installed in a cluster.</li><li id="mrs_01_0759__ld1d18d5109804d96b0cd20c14576c8d4">The password of user <span class="parmname" id="mrs_01_0759__p168d3b622bc6437291ffb132b663ee34"><b>admin</b></span> has been obtained. The password of user <span class="parmname" id="mrs_01_0759__p65ce8b7a377247cab40e868181d0cdf4"><b>admin</b></span> is specified by the user during MRS cluster creation.</li></ul>
+</div>
+<div class="section" id="mrs_01_0759__section1848314194712"><h4 class="sectiontitle">Configuring HDFS as the Underlying File System of Alluxio</h4><div class="note" id="mrs_01_0759__note28211220155917"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0759__p2821182018598">Security clusters with Kerberos authentication enabled do not support this function.</p>
+</div></div>
+<ol id="mrs_01_0759__ol111611317315"><li id="mrs_01_0759__li102223274113"><span>Go to the <strong id="mrs_01_0759__b11427184152010">All Configurations</strong> page of Alluxio. See <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</span></li><li id="mrs_01_0759__li18687173616112"><span>In the left pane, choose <strong id="mrs_01_0759__b139029467522433">Alluxio</strong> &gt; <strong id="mrs_01_0759__b5250888622433">Under Stores</strong>, and modify the value of <strong id="mrs_01_0759__b84566599022433">alluxio.master.mount.table.root.ufs</strong> to <strong id="mrs_01_0759__b182310478274">hdfs://hacluster</strong><em id="mrs_01_0759__i20731643102714">/XXX/</em>.</span><p><p id="mrs_01_0759__p223616599211">For example, if you want to use <em id="mrs_01_0759__i137097249822433">HDFS root directory</em><strong id="mrs_01_0759__b92137514288">/alluxio/</strong> as the root directory of Alluxio, modify the value of <strong id="mrs_01_0759__b209919837322433">alluxio.master.mount.table.root.ufs</strong> to <strong id="mrs_01_0759__b134251541222433">hdfs://hacluster/alluxio/</strong>.</p>
+</p></li><li id="mrs_01_0759__li79377361843"><span>Click <strong id="mrs_01_0759__b199183748322433">Save Configuration</strong>. In the displayed dialog box, select <strong id="mrs_01_0759__b26080237522433">Restart the affected services or instances</strong>.</span></li><li id="mrs_01_0759__li1483252744"><span>Click <strong id="mrs_01_0759__b29401099122433">OK</strong> to restart Alluxio.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0756.html">Using Alluxio</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0760.html b/docs/mrs/component-operation-guide/mrs_01_0760.html
new file mode 100644
index 000000000..eb8c2d080
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0760.html
@@ -0,0 +1,59 @@
+<a name="mrs_01_0760"></a><a name="mrs_01_0760"></a>
+
+<h1 class="topictitle1">Accessing Alluxio Using a Data Application</h1>
+<div id="body1589421646581"><p id="mrs_01_0760__p1120316191571">The port number used for accessing the Alluxio file system is 19998, and the access address is <strong id="mrs_01_0760__b68431111641">alluxio://</strong><em id="mrs_01_0760__i12290114140">&lt;Master node IP address of Alluxio&gt;</em><strong id="mrs_01_0760__b19687117242">:19998/</strong><em id="mrs_01_0760__i62074203415">&lt;PATH&gt;</em>. This section uses examples to describe how to access the Alluxio file system using data applications (Spark, Hive, Hadoop MapReduce, and Presto).</p>
+<div class="section" id="mrs_01_0760__section450673117125"><h4 class="sectiontitle">Using Alluxio as the Input and Output of a Spark Application</h4><ol id="mrs_01_0760__ol573635916120"><li id="mrs_01_0760__li67368594122"><span>Log in to the Master node in a cluster as user <strong id="mrs_01_0760__b106766598823423">root</strong> using the password set during cluster creation.</span></li><li id="mrs_01_0760__li18666184218138"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_0760__p1413125131316"><strong id="mrs_01_0760__b5834917148">source /opt/client/bigdata_env</strong></p>
+</p></li><li id="mrs_01_0760__li9632101013154"><span>If Kerberos authentication is enabled for the current cluster, run the following command to authenticate the user. If Kerberos authentication is disabled for the current cluster, skip this step:</span><p><p id="mrs_01_0760__p3903911193255"><strong id="mrs_01_0760__b78912088023423">kinit</strong> <em id="mrs_01_0760__i87571140923423">MRS cluster user</em></p>
+<p id="mrs_01_0760__p23308555145027">Example: <strong id="mrs_01_0760__b21788660145616">kinit admin</strong></p>
+</p></li><li id="mrs_01_0760__li1772118813143"><span>Prepare an input file and copy local data to the Alluxio file system.</span><p><p id="mrs_01_0760__p164611751171516">For example, prepare the input file <strong id="mrs_01_0760__b73986414523423">test_input.txt</strong> in the local <strong id="mrs_01_0760__b163438549823423">/home</strong> directory, and run the following command to save the <strong id="mrs_01_0760__b179137304623423">test_input.txt</strong> file to Alluxio:</p>
+<p id="mrs_01_0760__p10914154613156"><strong id="mrs_01_0760__b16681789161">alluxio fs copyFromLocal /home/test_input.txt /input</strong></p>
+</p></li><li id="mrs_01_0760__li1957191214161"><span>Run the following commands to start <strong id="mrs_01_0760__b24555722523423">spark-shell</strong>:</span><p><p id="mrs_01_0760__p57609233163"><strong id="mrs_01_0760__b19834163014164">spark-shell</strong></p>
+</p></li><li id="mrs_01_0760__li6273163481614"><span>Run the following commands in spark-shell:</span><p><p id="mrs_01_0760__p17111751202120"><strong id="mrs_01_0760__b1221735511219">val s = sc.textFile("alluxio://&lt;<em id="mrs_01_0760__i9997162084512">Name of the Alluxio node</em>&gt;:19998/input")</strong></p>
+<p id="mrs_01_0760__p81111514217"><strong id="mrs_01_0760__b13224135552112">val double = s.map(line =&gt; line + line)</strong></p>
+<p id="mrs_01_0760__p61115111214"><strong id="mrs_01_0760__b2022905572118">double.saveAsTextFile("alluxio://&lt;<em id="mrs_01_0760__i16724173819484">Name of the Alluxio node</em>&gt;:19998/output")</strong></p>
+<div class="note" id="mrs_01_0760__note33301467249"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0760__p4330186162411">Replace <strong id="mrs_01_0760__b17451122664919"><em id="mrs_01_0760__i147291122154920">Name of the Alluxio node</em></strong><strong id="mrs_01_0760__b1045142614913">&gt;:19998</strong> with the actual node name and port numbers of all nodes where the AlluxioMaster instance is deployed. Use commas (,) to separate the node name and port number, for example, <strong id="mrs_01_0760__b93891733155218">node-ana-coremspb.mrs-m0va.com:19998,node-master2kiww.mrs-m0va.com:19998,node-master1cqwv.mrs-m0va.com:19998</strong>.</p>
+</div></div>
+</p></li><li id="mrs_01_0760__li1677164893916"><span>Press <strong id="mrs_01_0760__b12917752152110">Ctrl+C</strong> to exit spark-shell.</span></li><li id="mrs_01_0760__li7193050151711"><span>Run the <strong id="mrs_01_0760__b204523556423423">alluxio fs ls /</strong> command to check whether the output directory <strong id="mrs_01_0760__b124767892823423">/output</strong> containing double content of the input file exists in the root directory of Alluxio.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_0760__section7925727121811"><h4 class="sectiontitle">Creating a Hive Table on Alluxio</h4><ol id="mrs_01_0760__ol12316550181811"><li id="mrs_01_0760__li1131685081810"><span>Log in to the Master node in a cluster as user <strong id="mrs_01_0760__b3191799523423">root</strong> using the password set during cluster creation.</span></li><li id="mrs_01_0760__li16561835101916"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_0760__p85616356191"><strong id="mrs_01_0760__b5567353196">source /opt/client/bigdata_env</strong></p>
+</p></li><li id="mrs_01_0760__li3561435121920"><span>If Kerberos authentication is enabled for the current cluster, run the following command to authenticate the user. If Kerberos authentication is disabled for the current cluster, skip this step:</span><p><p id="mrs_01_0760__p056113516198"><strong id="mrs_01_0760__b54668998423423">kinit</strong> <em id="mrs_01_0760__i82446430123423">MRS cluster user</em></p>
+<p id="mrs_01_0760__p1566358192">Example: <strong id="mrs_01_0760__b105617356196">kinit admin</strong></p>
+</p></li><li id="mrs_01_0760__li7861163741920"><span>Prepare an input file. For example, prepare the <strong id="mrs_01_0760__b105807558823423">hive_load.txt</strong> input file in the local <strong id="mrs_01_0760__b30186718823423">/home</strong> directory. The file content is as follows:</span><p><pre class="screen" id="mrs_01_0760__screen68216581194">1, Alice, company A
+2, Bob, company B</pre>
+</p></li><li id="mrs_01_0760__li14882410207"><span>Run the following command to import the <strong id="mrs_01_0760__b31328748823423">hive_load.txt</strong> file to Alluxio:</span><p><p id="mrs_01_0760__p8443135875214"><strong id="mrs_01_0760__b48741844132013">alluxio fs copyFromLocal /home/hive_load.txt /hive_input</strong></p>
+</p></li><li id="mrs_01_0760__li78549476204"><span>Run the following command to start the Hive beeline:</span><p><p id="mrs_01_0760__p5872162820373"><strong id="mrs_01_0760__b16206904218">beeline</strong></p>
+</p></li><li id="mrs_01_0760__li1125919546213"><span>Run the following commands in beeline to create a table based on the input file in Alluxio:</span><p><p id="mrs_01_0760__p157912039062"><strong id="mrs_01_0760__b1251165510615">CREATE TABLE u_user(id INT, name STRING, company STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' STORED AS TEXTFILE;</strong></p>
+<p id="mrs_01_0760__p497134214611"><strong id="mrs_01_0760__b1681104012216">LOAD DATA INPATH 'alluxio://&lt;<em id="mrs_01_0760__i17596163315544">Name of the Alluxio node</em>&gt;:19998/hive_input'  INTO TABLE u_user;</strong></p>
+<div class="note" id="mrs_01_0760__note43811935142315"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0760__p2187944112312">Replace <strong id="mrs_01_0760__b1814174314544"><em id="mrs_01_0760__i18814114355418">Name of the Alluxio node</em></strong><strong id="mrs_01_0760__b981413431545">&gt;:19998</strong> with the actual node name and port numbers of all nodes where the AlluxioMaster instance is deployed. Use commas (,) to separate the node name and port number, for example, <strong id="mrs_01_0760__b8814114319549">node-ana-coremspb.mrs-m0va.com:19998,node-master2kiww.mrs-m0va.com:19998,node-master1cqwv.mrs-m0va.com:19998</strong>.</p>
+</div></div>
+</p></li><li id="mrs_01_0760__li14206645112219"><span>Run the following command to view the created table:</span><p><p id="mrs_01_0760__p19675184652215"><strong id="mrs_01_0760__b752293810228">select * from u_user;</strong></p>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0760__section12420127102313"><h4 class="sectiontitle">Running Hadoop Wordcount in Alluxio</h4><ol id="mrs_01_0760__ol1903182720235"><li id="mrs_01_0760__li135810312234"><span>Log in to the Master node in a cluster as user <strong id="mrs_01_0760__b133718962723423">root</strong> using the password set during cluster creation.</span></li><li id="mrs_01_0760__li958193119233"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_0760__p1558183111235"><strong id="mrs_01_0760__b12581031112312">source /opt/client/bigdata_env</strong></p>
+</p></li><li id="mrs_01_0760__li1858203117232"><span>If Kerberos authentication is enabled for the current cluster, run the following command to authenticate the user. If Kerberos authentication is disabled for the current cluster, skip this step:</span><p><p id="mrs_01_0760__p2587316232"><strong id="mrs_01_0760__b32269527523423">kinit</strong> <em id="mrs_01_0760__i35797258123423">MRS cluster user</em></p>
+<p id="mrs_01_0760__p105817315238">Example: <strong id="mrs_01_0760__b12581431162312">kinit admin</strong></p>
+</p></li><li id="mrs_01_0760__li45873192319"><span>Prepare an input file and copy local data to the Alluxio file system.</span><p><p id="mrs_01_0760__p215085822315">For example, prepare the input file <strong id="mrs_01_0760__b202147255423423">test_input.txt</strong> in the local <strong id="mrs_01_0760__b18118017423423">/home</strong> directory, and run the following command to save the <strong id="mrs_01_0760__b105808322923423">test_input.txt</strong> file to Alluxio:</p>
+<p id="mrs_01_0760__p15479144145914"><strong id="mrs_01_0760__b13293172110244">alluxio fs copyFromLocal /home/test_input.txt /input</strong></p>
+</p></li><li id="mrs_01_0760__li48193248242"><span>Run the following command to execute the wordcount job:</span><p><p id="mrs_01_0760__p18192020625"><strong id="mrs_01_0760__b1243421132512">yarn jar /opt/share/hadoop-mapreduce-examples-&lt;<em id="mrs_01_0760__i11453111516569">Hadoop version</em>&gt;-mrs-&lt;<em id="mrs_01_0760__i1878013331566">MRS cluster version</em>&gt;/hadoop-mapreduce-examples-&lt;<em id="mrs_01_0760__i137063516568">Hadoop version</em>&gt;-mrs-&lt;<em id="mrs_01_0760__i1187218582565">MRS cluster version</em>&gt;.jar wordcount alluxio://&lt;<em id="mrs_01_0760__i4802418115719">Name of the Alluxio node</em>&gt;:19998/input alluxio://&lt;<em id="mrs_01_0760__i31232256571">Name of the Alluxio node</em>&gt;:19998/output</strong></p>
+<div class="note" id="mrs_01_0760__note367011261222"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0760__ul14753631202211"><li id="mrs_01_0760__li855224519222">Replace <strong id="mrs_01_0760__b6740111213594">&lt;</strong><strong id="mrs_01_0760__b674011217591"><em id="mrs_01_0760__i139851936587">Hadoop version</em></strong><strong id="mrs_01_0760__b117401112135912">&gt;</strong> with the actual one.</li><li id="mrs_01_0760__li828435832219">Replace <strong id="mrs_01_0760__b19940201915914">&lt;</strong><strong id="mrs_01_0760__b4940419125912"><em id="mrs_01_0760__i796785115914">MRS cluster version</em></strong><strong id="mrs_01_0760__b1940171925916">&gt;</strong> with the major version of MRS. For example, for a cluster of MRS 1.9.2, mrs-1.9.0 is used.</li><li id="mrs_01_0760__li187531331182212">Replace <strong id="mrs_01_0760__b1637135345913"><em id="mrs_01_0760__i2063715319597">Name of the Alluxio node</em></strong><strong id="mrs_01_0760__b1963725319595">&gt;:19998</strong> with the actual node name and port numbers of all nodes where the AlluxioMaster instance is deployed. Use commas (,) to separate the node name and port number, for example, <strong id="mrs_01_0760__b263735395910">node-ana-coremspb.mrs-m0va.com:19998,node-master2kiww.mrs-m0va.com:19998,node-master1cqwv.mrs-m0va.com:19998</strong>.</li></ul>
+</div></div>
+</p></li><li id="mrs_01_0760__li14902171392512"><span>Run the <strong id="mrs_01_0760__b50972070823423">alluxio fs ls /</strong> command to check whether the output directory <strong id="mrs_01_0760__b154594931423423">/output</strong> containing the wordcount result exists in the root directory of Alluxio.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_0760__section494714103266"><h4 class="sectiontitle">Using Presto to Query Tables in Alluxio</h4><ol id="mrs_01_0760__ol6666122710262"><li id="mrs_01_0760__li3666152772618"><span>Log in to the Master node in a cluster as user <strong id="mrs_01_0760__b42124768623423">root</strong> using the password set during cluster creation.</span></li><li id="mrs_01_0760__li1366692782619"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_0760__p106661527162610"><strong id="mrs_01_0760__b136661127152617">source /opt/client/bigdata_env</strong></p>
+</p></li><li id="mrs_01_0760__li11666182712263"><span>If Kerberos authentication is enabled for the current cluster, run the following command to authenticate the user. If Kerberos authentication is disabled for the current cluster, skip this step:</span><p><p id="mrs_01_0760__p11666112712618"><strong id="mrs_01_0760__b63137139723423">kinit</strong> <em id="mrs_01_0760__i49797120323423">MRS cluster user</em></p>
+<p id="mrs_01_0760__p96661227142616">Example: <strong id="mrs_01_0760__b1666192719264">kinit admin</strong></p>
+</p></li><li id="mrs_01_0760__li16661527172618"><span>Run the following commands to start Hive Beeline to create a table on Alluxio.</span><p><p id="mrs_01_0760__p10761937174013"><strong id="mrs_01_0760__b17419132213277">beeline</strong></p>
+<p id="mrs_01_0760__p937819407400"><strong id="mrs_01_0760__b74301228275">CREATE TABLE u_user (id int, name string, company string) ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' LOCATION 'alluxio://&lt;<em id="mrs_01_0760__i91725562013">Name of the Alluxio node</em>&gt;:19998/u_user';</strong></p>
+<p id="mrs_01_0760__p2354127192713"><strong id="mrs_01_0760__b644012214274">insert into u_user values(1,'Alice','Company A'),(2, 'Bob', 'Company B');</strong></p>
+<div class="note" id="mrs_01_0760__note790712170237"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0760__p1993712510235">Replace <strong id="mrs_01_0760__b130373715218"><em id="mrs_01_0760__i6303163714211">Name of the Alluxio node</em></strong><strong id="mrs_01_0760__b530313371226">&gt;:19998</strong> with the actual node name and port numbers of all nodes where the AlluxioMaster instance is deployed. Use commas (,) to separate the node name and port number, for example, <strong id="mrs_01_0760__b1304163717214">node-ana-coremspb.mrs-m0va.com:19998,node-master2kiww.mrs-m0va.com:19998,node-master1cqwv.mrs-m0va.com:19998</strong>.</p>
+</div></div>
+</p></li><li id="mrs_01_0760__li1489191518288"><span>Start the Presto client. For details, see <a href="mrs_01_0434.html#mrs_01_0434__li9368161132311">2</a> to <a href="mrs_01_0434.html#mrs_01_0434__li15202527183812">8</a> in <a href="mrs_01_0434.html">Using a Client to Execute Query Statements</a>.</span></li><li id="mrs_01_0760__li449804943211"><span>On the Presto client, run the <strong id="mrs_01_0760__b1572305123519">select * from hive.default.u_user;</strong> statement to query the table created in Alluxio:</span><p><div class="fignone" id="mrs_01_0760__fig129013018357"><span class="figcap"><b>Figure 1 </b>Using Presto to query the table created in Alluxio</span><br><span><img id="mrs_01_0760__image14557131914417" src="en-us_image_0000001349170061.png"></span></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0756.html">Using Alluxio</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0761.html b/docs/mrs/component-operation-guide/mrs_01_0761.html
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+<a name="mrs_01_0761"></a><a name="mrs_01_0761"></a>
+
+<h1 class="topictitle1">Using Ranger (MRS 1.9.2)</h1>
+<div id="body1589421646587"><p id="mrs_01_0761__p8060118"></p>
+</div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_0763.html">Creating a Ranger Cluster</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0764.html">Accessing the Ranger Web UI and Synchronizing Unix Users to the Ranger Web UI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0765.html">Configuring Hive/Impala Access Permissions in Ranger</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0766.html">Configuring HBase Access Permissions in Ranger</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0763.html b/docs/mrs/component-operation-guide/mrs_01_0763.html
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+<a name="mrs_01_0763"></a><a name="mrs_01_0763"></a>
+
+<h1 class="topictitle1">Creating a Ranger Cluster</h1>
+<div id="body1589421646972"><ol id="mrs_01_0763__ol3319194714453"><li id="mrs_01_0763__li1540825954510"><span>Create a cluster by referring to <a href="https://docs.otc.t-systems.com/usermanual/mrs/mrs_01_0513.html" target="_blank" rel="noopener noreferrer">Custom Creation of a Cluster</a>. Select the Ranger component during cluster creation.</span><p><p id="mrs_01_0763__p288353012286">Currently, only normal MRS 1.9.2 clusters support Ranger. Security clusters with Kerberos authentication enabled do not support Ranger.</p>
+</p></li><li id="mrs_01_0763__li204414117596"><span>Configure other parameters by referring to <a href="https://docs.otc.t-systems.com/usermanual/mrs/mrs_01_0513.html" target="_blank" rel="noopener noreferrer">Custom Creation of a Cluster</a>.</span><p><div class="note" id="mrs_01_0763__note0232112319404"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0763__ul4846144417512"><li id="mrs_01_0763__li168466446515">After the cluster is created, Ranger does not control users' permissions to access Hive and HBase.</li><li id="mrs_01_0763__li2175487514">When Ranger is used to manage component permissions, for example, manage Hive table permissions, if a user submits a Hive job (operation on Hive data tables) on the interface or client, a message may be displayed indicating that the user does not have the permissions. In this case, you need to configure the database or table permissions for the user who submits the job in Ranger. For details, see the step for adding a policy in <a href="mrs_01_0765.html">Configuring Hive/Impala Access Permissions in Ranger</a> or <a href="mrs_01_0766.html">Configuring HBase Access Permissions in Ranger</a>.</li></ul>
+</div></div>
+</p></li></ol>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0761.html">Using Ranger (MRS 1.9.2)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0764.html b/docs/mrs/component-operation-guide/mrs_01_0764.html
new file mode 100644
index 000000000..e970bcacc
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0764.html
@@ -0,0 +1,20 @@
+<a name="mrs_01_0764"></a><a name="mrs_01_0764"></a>
+
+<h1 class="topictitle1">Accessing the Ranger Web UI and Synchronizing Unix Users to the Ranger Web UI</h1>
+<div id="body1589421648279"><p id="mrs_01_0764__p158353413301">You can manage Ranger on the Ranger web UI.</p>
+<div class="section" id="mrs_01_0764__section2365151841710"><h4 class="sectiontitle">Accessing the Ranger Admin Web UI</h4><ol id="mrs_01_0764__ol911184803019"><li id="mrs_01_0764__li17892205313916"><span>On the MRS management console, click the cluster name to go to the cluster details page.</span></li><li id="mrs_01_0764__li179012282616"><span>Click the <strong id="mrs_01_0764__b11599824518">Components</strong> tab.</span></li><li id="mrs_01_0764__li17261162813402"><span>Select <strong id="mrs_01_0764__b2319191354813">Ranger</strong>. In <strong id="mrs_01_0764__b1932491364811">Ranger Summary</strong>, click <strong id="mrs_01_0764__b232411133485">RangerAdmin</strong> corresponding to <strong id="mrs_01_0764__b13325513194818">Ranger Web UI</strong>.</span></li><li id="mrs_01_0764__li1645181611326"><span>On the Ranger web UI login page, the default username for MRS 1.9.2 is <strong id="mrs_01_0764__b14131427154320">admin</strong> and the password is <strong id="mrs_01_0764__b665911562599">admin@12345</strong>. The default username for MRS 1.9.3 is <strong id="mrs_01_0764__b37075122009">admin</strong> and the password is <strong id="mrs_01_0764__b186542219012">ranger@A1!</strong>.</span><p><p id="mrs_01_0764__p1352315319512">After logging in to the Ranger Web UI for the first time, change the password and keep it secure.</p>
+</p></li><li id="mrs_01_0764__li912115225332"><span>Click the username in the upper right corner, choose <strong id="mrs_01_0764__b768331713">Profile</strong> from the drop-down list, and click <strong id="mrs_01_0764__b3731631977">Change Password</strong> to change the password.</span><p><div class="fignone" id="mrs_01_0764__fig16921115981512"><span class="figcap"><b>Figure 1 </b>Changing the Ranger web UI login password</span><br><span><img id="mrs_01_0764__image2751648151516" src="en-us_image_0000001438507709.png"></span></div>
+</p></li><li id="mrs_01_0764__li217734119458"><span>After changing the password, click the username in the upper right corner, choose <strong id="mrs_01_0764__b924765611714">Log Out</strong> from the drop-down list, and use the new password to log in to the web UI again.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_0764__section14294123241717"><h4 class="sectiontitle">Using Ranger UserSync to Synchronize Unix OS Users on Cluster Nodes</h4><p id="mrs_01_0764__p20672154221815">Ranger UserSync is an important component of Ranger. It can synchronize Unix system users or LDAP users to the Ranger web UI. Currently, MRS can synchronize only Unix users on the node where the Ranger UserSync process resides.</p>
+<ol id="mrs_01_0764__ol466813294275"><li id="mrs_01_0764__li17668132912278"><span>Log in to the node where the Ranger UserSync process is located.</span></li><li id="mrs_01_0764__li4690236182717"><span>Run the <strong id="mrs_01_0764__b569318331088">useradd</strong> command to add a system user, for example, <strong id="mrs_01_0764__b176981733282">testuser</strong>.</span><p><div class="fignone" id="mrs_01_0764__fig1561113167284"><span class="figcap"><b>Figure 2 </b>Adding the <strong id="mrs_01_0764__b770517381883">testuser</strong> system user</span><br><span><img id="mrs_01_0764__image20667611141916" src="en-us_image_0000001348770621.png"></span></div>
+</p></li><li id="mrs_01_0764__li36121826172910"><span>After the user is added, wait for about 1 minute and log in to the Ranger web UI. Then, you can see that the user is synchronized.</span><p><div class="fignone" id="mrs_01_0764__fig719125610179"><span class="figcap"><b>Figure 3 </b>User synchronization completed</span><br><span><img id="mrs_01_0764__image633284411716" src="en-us_image_0000001438508081.png"></span></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0761.html">Using Ranger (MRS 1.9.2)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0765.html b/docs/mrs/component-operation-guide/mrs_01_0765.html
new file mode 100644
index 000000000..3f40bfe7c
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0765.html
@@ -0,0 +1,120 @@
+<a name="mrs_01_0765"></a><a name="mrs_01_0765"></a>
+
+<h1 class="topictitle1">Configuring Hive/Impala Access Permissions in Ranger</h1>
+<div id="body1589421650678"><p id="mrs_01_0765__p8060118">After an MRS cluster with Ranger installed is created, Hive and Impala access control is not integrated into Ranger. This section describes how to integrate Hive into Ranger. Impala follows the same procedure.</p>
+<ol id="mrs_01_0765__ol86391727123611"><li id="mrs_01_0765__li1476394183516"><span>Log in to the Ranger web UI.</span></li><li id="mrs_01_0765__li116391227123617"><span>In the <strong id="mrs_01_0765__b1498812118106">Service Manager</strong> area, click <span><img id="mrs_01_0765__image15993191112104" src="en-us_image_0000001296090600.png"></span> next to <strong id="mrs_01_0765__b299317116105">HIVE</strong> to add a Hive service.</span><p><div class="fignone" id="mrs_01_0765__fig091882852810"><span class="figcap"><b>Figure 1 </b>Adding a Hive service</span><br><span><img id="mrs_01_0765__image035810254285" src="en-us_image_0000001388415558.png"></span></div>
+</p></li><li id="mrs_01_0765__li340533214416"><span>Set the parameters for adding a Hive service according to <a href="#mrs_01_0765__table54444329411">Table 1</a>. Use the default values for the parameters that are not listed in the table.</span><p>
+<div class="tablenoborder"><a name="mrs_01_0765__table54444329411"></a><a name="table54444329411"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0765__table54444329411" frame="border" border="1" rules="all"><caption><b>Table 1 </b><strong id="mrs_01_0765__b126014571101">Parameter description</strong></caption><thead align="left"><tr id="mrs_01_0765__row1844243264112"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.3.2.1.2.4.1.1"><p id="mrs_01_0765__p12442193220418">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.3.2.1.2.4.1.2"><p id="mrs_01_0765__p1744210322416">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.3.2.1.2.4.1.3"><p id="mrs_01_0765__p84421328419">Example Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0765__row644393284112"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.1 "><p id="mrs_01_0765__p18442232184110">Service Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.2 "><p id="mrs_01_0765__p8442203254115">Name of the service to be created. The value is fixed to <strong id="mrs_01_0765__b675510131112">hivedev</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.3 "><p id="mrs_01_0765__p14442133211411">hivedev</p>
+</td>
+</tr>
+<tr id="mrs_01_0765__row34433328419"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.1 "><p id="mrs_01_0765__p6443153216418">Username</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.2 "><p id="mrs_01_0765__p12443832114118">You can set this parameter to any value.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.3 "><p id="mrs_01_0765__p0443532194110">admin</p>
+</td>
+</tr>
+<tr id="mrs_01_0765__row74431532164110"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.1 "><p id="mrs_01_0765__p544313323411">Password</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.2 "><p id="mrs_01_0765__p7443133224114">You can set this parameter to any value.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.3 "><p id="mrs_01_0765__p044333212412">-</p>
+</td>
+</tr>
+<tr id="mrs_01_0765__row144353274113"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.1 "><p id="mrs_01_0765__p94431332194118">jdbc.driverClassName</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.2 "><p id="mrs_01_0765__p14431132144114">Driver class for connecting to Hive. The value is fixed to <strong id="mrs_01_0765__b78899236115">org.apache.hive.jdbc.HiveDriver</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.3 "><p id="mrs_01_0765__p5443153210414">org.apache.hive.jdbc.HiveDriver</p>
+</td>
+</tr>
+<tr id="mrs_01_0765__row104441332194110"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.1 "><p id="mrs_01_0765__p13443123216418">jdbc.url</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.2 "><p id="mrs_01_0765__p15443132174118">URL for connecting to Hive. The format is ZooKeeper mode:</p>
+<p id="mrs_01_0765__p11444132204117">jdbc:hive2://&lt;host&gt;:2181/;serviceDiscoveryMode=zooKeeper;zooKeeperNamespace=hiveserver2</p>
+<p id="mrs_01_0765__p717612451575"><strong id="mrs_01_0765__b7538171717142">&lt;host&gt;</strong> indicates a ZooKeeper address. To obtain the ZooKeeper address, log in to MRS Manager, choose <strong id="mrs_01_0765__b754320173147">Services</strong> &gt; <strong id="mrs_01_0765__b19543161741413">ZooKeeper</strong> &gt; <strong id="mrs_01_0765__b16543131719144">Instance</strong>, and view the management IP address of the ZooKeeper instance.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.3 "><p id="mrs_01_0765__p12444163244112">jdbc:hive2://xx.xx.xx.xx:2181,xx.xx.xx.xx:2181,xx.xx.xx.xx:2181/;serviceDiscoveryMode=zooKeeper;zooKeeperNamespace=hiveserver2</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="fignone" id="mrs_01_0765__fig39091316015"><span class="figcap"><b>Figure 2 </b>Creating hivedev</span><br><span><img id="mrs_01_0765__image17739125716596" src="en-us_image_0000001349170337.png"></span></div>
+</p></li><li id="mrs_01_0765__li189043534201"><span>Click <strong id="mrs_01_0765__b1897812245154">Add</strong> to add the service.</span></li><li id="mrs_01_0765__li3576367439"><span>Start the Ranger Hive plugin to authorize Ranger to manage Hive.</span><p><ol type="a" id="mrs_01_0765__ol2033912334020"><li id="mrs_01_0765__li17892205313916">On the MRS management console, click the cluster name to go to the cluster details page.</li><li id="mrs_01_0765__li179012282616">Click the <strong id="mrs_01_0765__b2063015481151">Components</strong> tab.</li><li id="mrs_01_0765__li194741166217">Choose <strong id="mrs_01_0765__b20845165131614">Hive</strong> &gt; <strong id="mrs_01_0765__b19850154165">Service Configuration</strong> and switch <strong id="mrs_01_0765__b118500520161">Basic</strong> to <strong id="mrs_01_0765__b98501517163">All</strong>.</li><li id="mrs_01_0765__li2339133315018">Search for <strong id="mrs_01_0765__b939193320168">hive.security.authorization</strong> and modify the following configurations:<ul id="mrs_01_0765__ul769417179317"><li id="mrs_01_0765__li56947171339">hive.security.authorization.enabled = true</li><li id="mrs_01_0765__li1689511618310">hive.security.authorization.manager = org.apache.ranger.authorization.hive.authorizer.RangerHiveAuthorizerFactory</li></ul>
+</li><li id="mrs_01_0765__li1538145391">Click <strong id="mrs_01_0765__b1677982411916">Save Configuration</strong> and select <strong id="mrs_01_0765__b47841424131910">Restart the affected services or instances</strong> to restart the Hive service.</li></ol>
+</p></li><li id="mrs_01_0765__li73811045113616"><span>Add an access control policy.</span><p><ol type="a" id="mrs_01_0765__ol623195511810"><li id="mrs_01_0765__li286414508814">Log in to the Ranger web UI.</li><li id="mrs_01_0765__li651141125712">In the <strong id="mrs_01_0765__b1721355151916">HIVE</strong> area, click the added service <strong id="mrs_01_0765__b77155510195">hivedev</strong>.</li><li id="mrs_01_0765__li77752095618">Click <strong id="mrs_01_0765__b1124312182014">Add New Policy</strong> to add an access control policy.</li><li id="mrs_01_0765__li483812535575">Set the parameters according to <a href="#mrs_01_0765__table116322231534">Table 2</a>. Use the default values for the parameters that are not listed in the table.
+<div class="tablenoborder"><a name="mrs_01_0765__table116322231534"></a><a name="table116322231534"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0765__table116322231534" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0765__row11633152314316"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.6.2.1.4.2.2.4.1.1"><p id="mrs_01_0765__p1260833016420">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.6.2.1.4.2.2.4.1.2"><p id="mrs_01_0765__p156082301046">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.6.2.1.4.2.2.4.1.3"><p id="mrs_01_0765__p1060811302417">Example Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0765__row1163310231234"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.1 "><p id="mrs_01_0765__p1865510429816">Policy Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.2 "><p id="mrs_01_0765__p19547132615414">Policy name</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.3 "><p id="mrs_01_0765__p46331231316">Policy001</p>
+</td>
+</tr>
+<tr id="mrs_01_0765__row9633142318314"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.1 "><p id="mrs_01_0765__p11633172313315">database</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.2 "><p id="mrs_01_0765__p45473261944">Name of the database that the policy allows to access</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.3 "><p id="mrs_01_0765__p2063314239314">test</p>
+</td>
+</tr>
+<tr id="mrs_01_0765__row863372320317"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.1 "><p id="mrs_01_0765__p16335231835">table</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.2 "><p id="mrs_01_0765__p054718261244">Name of the table corresponding to the database that the policy allows to access</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.3 "><p id="mrs_01_0765__p176331023136">table1</p>
+</td>
+</tr>
+<tr id="mrs_01_0765__row1663420237318"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.1 "><p id="mrs_01_0765__p663414239318">Hive Column</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.2 "><p id="mrs_01_0765__p1754752616416">Column name of the table corresponding to the database that the policy allows to access</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.3 "><p id="mrs_01_0765__p1063412318311">name</p>
+</td>
+</tr>
+<tr id="mrs_01_0765__row463413231318"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.1 "><p id="mrs_01_0765__p1263412231934">Allow Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.2 "><ul id="mrs_01_0765__ul291972075620"><li id="mrs_01_0765__li1191916209565"><strong id="mrs_01_0765__b47732567248">Select Group</strong>: user group that the policy allows to access</li><li id="mrs_01_0765__li956702325612"><strong id="mrs_01_0765__b18435182510">Select User</strong>: user in the user group that the policy allows to access</li><li id="mrs_01_0765__li5554348566"><strong id="mrs_01_0765__b59261834259">Permissions</strong>: permissions that the policy allows the user to have</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.3 "><ul id="mrs_01_0765__ul11428874228"><li id="mrs_01_0765__li8428157182218">Select Group: <strong id="mrs_01_0765__b650915619257">testuser</strong></li><li id="mrs_01_0765__li14285711228">Select User: <strong id="mrs_01_0765__b3434793251">testuser</strong></li><li id="mrs_01_0765__li174281572225">Permissions: <strong id="mrs_01_0765__b136133106254">Create</strong> and <strong id="mrs_01_0765__b1361391032514">Select</strong></li></ul>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="fignone" id="mrs_01_0765__fig2047532791212"><span class="figcap"><b>Figure 3 </b>Adding an access control policy for <strong id="mrs_01_0765__b1636201782519">hivedev</strong></span><br><span><img id="mrs_01_0765__image5214102414476" src="en-us_image_0000001348770629.png"></span></div>
+</li><li id="mrs_01_0765__li85730455122">Click <strong id="mrs_01_0765__b05041835112515">Add</strong> to add the policy. According to the preceding policy, user <strong id="mrs_01_0765__b17504103515259">testuser</strong> in the <strong id="mrs_01_0765__b5504735182517">testuser</strong> user group has the <strong id="mrs_01_0765__b1450411355252">Create</strong> and <strong id="mrs_01_0765__b4505535172511">Select</strong> permissions on the <strong id="mrs_01_0765__b4505103514252">name</strong> column of <strong id="mrs_01_0765__b13505163532520">table1</strong> in the <strong id="mrs_01_0765__b19505835192510">test</strong> database of Hive, but no permissions to access other columns.</li></ol>
+</p></li><li id="mrs_01_0765__li12732859163619"><span>Log in to the Hive client by referring to <a href="mrs_01_0442.html">Using Hive from Scratch</a>, and check whether Hive has been integrated into Ranger.</span><p><ol type="a" id="mrs_01_0765__ol63481623172519"><li id="mrs_01_0765__li1813416133279">Run the following command to access the Hive beeline:<p id="mrs_01_0765__p229910510296"><a name="mrs_01_0765__li1813416133279"></a><a name="li1813416133279"></a><strong id="mrs_01_0765__b213218188592">source /opt/client/bigdata_env</strong></p>
+<p id="mrs_01_0765__p1666784523316"><b><span class="cmdname" id="mrs_01_0765__cmdname17863112621510">beeline</span></b></p>
+</li><li id="mrs_01_0765__li137951518182513">Run the following command to set up a connection and log in as user <strong id="mrs_01_0765__b74101344152610">testuser</strong>:<p id="mrs_01_0765__p19337117163410"><strong id="mrs_01_0765__b12820349598">!connect jdbc:hive2://xx.xx.xx.xx:2181,xx.xx.3.81:2181,192.168.3.153:2181/;serviceDiscoveryMode=zooKeeper;zooKeeperNamespace=hiveserver2</strong></p>
+<div class="fignone" id="mrs_01_0765__fig149885421551"><span class="figcap"><b>Figure 4 </b>Logging in to Hive</span><br><span><img id="mrs_01_0765__image898924211517" src="en-us_image_0000001438393405.png"></span></div>
+</li><li id="mrs_01_0765__li114993407521">Query data and check whether Ranger is integrated.<div class="fignone" id="mrs_01_0765__fig19585153615368"><span class="figcap"><b>Figure 5 </b>Verifying the integration of Ranger with Hive</span><br><span><img id="mrs_01_0765__image4506184065217" src="en-us_image_0000001349289921.png"></span></div>
+</li></ol>
+</p></li></ol>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0761.html">Using Ranger (MRS 1.9.2)</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_0766"></a><a name="mrs_01_0766"></a>
+
+<h1 class="topictitle1">Configuring HBase Access Permissions in Ranger</h1>
+<div id="body1589421654455"><p id="mrs_01_0766__p114498141583">After an MRS cluster with Ranger installed is created, HBase access control is not integrated into Ranger. This section describes how to integrate HBase into Ranger.</p>
+<ol id="mrs_01_0766__ol17248215173718"><li id="mrs_01_0766__li1476394183516"><span>Log in to the Ranger web UI.</span></li><li id="mrs_01_0766__li116391227123617"><span>In the <strong id="mrs_01_0766__b17986203412281">Service Manager</strong> area, click <span><img id="mrs_01_0766__image35341412123717" src="en-us_image_0000001349289417.png"></span> next to <strong id="mrs_01_0766__b199113349281">HBASE</strong> to add an HBase service.</span><p><div class="fignone" id="mrs_01_0766__fig091882852810"><span class="figcap"><b>Figure 1 </b>Adding an HBase service</span><br><span><img id="mrs_01_0766__image135653212294" src="en-us_image_0000001388575174.png"></span></div>
+<p id="mrs_01_0766__p2131115616282">Adding a Hive service</p>
+</p></li><li id="mrs_01_0766__li340533214416"><span>Set the parameters for adding an HBase service according to <a href="#mrs_01_0766__table74220350178">Table 1</a>. Use the default values for the parameters that are not listed in the table.</span><p>
+<div class="tablenoborder"><a name="mrs_01_0766__table74220350178"></a><a name="table74220350178"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0766__table74220350178" frame="border" border="1" rules="all"><caption><b>Table 1 </b><strong id="mrs_01_0766__b10915207291">Parameter description</strong></caption><thead align="left"><tr id="mrs_01_0766__row1743935151719"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.3.2.1.2.4.1.1"><p id="mrs_01_0766__p13378105233519">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.3.2.1.2.4.1.2"><p id="mrs_01_0766__p7378652143515">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.3.2.1.2.4.1.3"><p id="mrs_01_0766__p337875211359">Example Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0766__row94373551718"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.1 "><p id="mrs_01_0766__p13783525354">Service Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.2 "><p id="mrs_01_0766__p10378952103511">Name of the service to be created. The value is fixed to <strong id="mrs_01_0766__b1897933292913">hbasedev</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.3 "><p id="mrs_01_0766__p143789524351">hbasedev</p>
+</td>
+</tr>
+<tr id="mrs_01_0766__row154353515177"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.1 "><p id="mrs_01_0766__p1037885253516">Username</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.2 "><p id="mrs_01_0766__p203781552183511">You can set this parameter to any value.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.3 "><p id="mrs_01_0766__p193781526356">admin</p>
+</td>
+</tr>
+<tr id="mrs_01_0766__row243143511179"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.1 "><p id="mrs_01_0766__p13379115223515">Password</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.2 "><p id="mrs_01_0766__p437945273517">You can set this parameter to any value.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.3 "><p id="mrs_01_0766__p123791352153520">-</p>
+</td>
+</tr>
+<tr id="mrs_01_0766__row343153551716"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.1 "><p id="mrs_01_0766__p1243163517179">hadoop.security.authentication</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.2 "><p id="mrs_01_0766__p243103561716">Hadoop authentication mode. The value is fixed to <strong id="mrs_01_0766__b542413432298">Simple</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.3 "><p id="mrs_01_0766__p843133512171">Simple</p>
+</td>
+</tr>
+<tr id="mrs_01_0766__row174315352174"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.1 "><p id="mrs_01_0766__p12432355173">hbase.security.authentication</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.2 "><p id="mrs_01_0766__p54303512175">HBase authentication mode. The value is fixed to <strong id="mrs_01_0766__b027364713294">Simple</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.3 "><p id="mrs_01_0766__p184373591715">Simple</p>
+</td>
+</tr>
+<tr id="mrs_01_0766__row174314357170"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.1 "><p id="mrs_01_0766__p343153517173">hbase.zookeeper.property.clientPort</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.2 "><p id="mrs_01_0766__p1543173551716">Port number of ZooKeeper in the HBase cluster.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.3 "><p id="mrs_01_0766__p16432358177">2181</p>
+</td>
+</tr>
+<tr id="mrs_01_0766__row1043335111715"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.1 "><p id="mrs_01_0766__p343183531710">hbase.zookeeper.quorum</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.2 "><p id="mrs_01_0766__p14431735181716">ZooKeeper address in the HBase cluster.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.3 "><p id="mrs_01_0766__p13980205719194">192.168.0.7,192.168.0.8,192.168.0.9</p>
+</td>
+</tr>
+<tr id="mrs_01_0766__row19708163015201"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.1 "><p id="mrs_01_0766__p1370953092011">zookeeper.znode.parent</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.2 "><p id="mrs_01_0766__p4709123012208">Path of the root node of HBase in ZooKeeper. The value is fixed to <strong id="mrs_01_0766__b153501815173015">/hbase</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.1.2.4.1.3 "><p id="mrs_01_0766__p4709163092020">/hbase</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="fignone" id="mrs_01_0766__fig39091316015"><span class="figcap"><b>Figure 2 </b>Creating hbasedev</span><br><span><img id="mrs_01_0766__image1247919164459" src="en-us_image_0000001349289421.png"></span></div>
+</p></li><li id="mrs_01_0766__li189043534201"><span>Click <strong id="mrs_01_0766__b103081044103014">Add</strong> to add the service.</span></li><li id="mrs_01_0766__li10978124502112"><span>Start the Ranger HBase plugin to authorize Ranger to manage HBase.</span><p><ol type="a" id="mrs_01_0766__ol2033912334020"><li id="mrs_01_0766__li17892205313916">On the MRS management console, click the cluster name to go to the cluster details page.</li><li id="mrs_01_0766__li179012282616">Click the <strong id="mrs_01_0766__b19723507318">Components</strong> tab.</li><li id="mrs_01_0766__li194741166217">Choose <strong id="mrs_01_0766__b132815614312">HBase</strong> &gt; <strong id="mrs_01_0766__b14282610312">Service Configuration</strong> and switch <strong id="mrs_01_0766__b142910663116">Basic</strong> to <strong id="mrs_01_0766__b10291610313">All</strong>.</li><li id="mrs_01_0766__li2339133315018">Search for <strong id="mrs_01_0766__b15611318183119">hbase.security.authorization</strong> and change its value to <strong id="mrs_01_0766__b19612218193119">true</strong> (select the first HBase parameter).</li><li id="mrs_01_0766__li217715610577">Search for <strong id="mrs_01_0766__b18459431329">hbase.coprocessor.master.classes</strong> and append <strong id="mrs_01_0766__b9451434324">,org.apache.ranger.authorization.hbase.RangerAuthorizationCoprocessor</strong> to its original value.</li><li id="mrs_01_0766__li997118441902">Search for <strong id="mrs_01_0766__b17938183817343">hbase.coprocessor.region.classes</strong> and append <strong id="mrs_01_0766__b18939133817340">,org.apache.ranger.authorization.hbase.RangerAuthorizationCoprocessor</strong> to its original value.</li><li id="mrs_01_0766__li1538145391">Click <strong id="mrs_01_0766__b58445743713">Save Configuration</strong> and select <strong id="mrs_01_0766__b98451079376">Restart the affected services or instances</strong> to restart the HMaster and RegionServer instances.</li></ol>
+</p></li><li id="mrs_01_0766__li1175119381520"><span>Create a policy under <strong id="mrs_01_0766__b29481711193718">HBase Service hbasedev</strong>.</span><p><ol type="a" id="mrs_01_0766__ol623195511810"><li id="mrs_01_0766__li286414508814">Log in to the Ranger web UI.</li><li id="mrs_01_0766__li651141125712">In the <strong id="mrs_01_0766__b18280016103720">HBASE</strong> area, click the added service <strong id="mrs_01_0766__b328071613371">hbasedev</strong>.</li><li id="mrs_01_0766__li77752095618">Click <strong id="mrs_01_0766__b127411918173719">Add New Policy</strong> to add an access control policy.</li><li id="mrs_01_0766__li483812535575">Set the parameters according to <a href="#mrs_01_0766__table116322231534">Table 2</a>. Use the default values for the parameters that are not listed in the table.
+<div class="tablenoborder"><a name="mrs_01_0766__table116322231534"></a><a name="table116322231534"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0766__table116322231534" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0766__row11633152314316"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.6.2.1.4.2.2.4.1.1"><p id="mrs_01_0766__p1260833016420">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.6.2.1.4.2.2.4.1.2"><p id="mrs_01_0766__p156082301046">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.6.2.1.4.2.2.4.1.3"><p id="mrs_01_0766__p1060811302417">Example Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0766__row1163310231234"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.1 "><p id="mrs_01_0766__p1865510429816">Policy Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.2 "><p id="mrs_01_0766__p19547132615414">Policy name</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.3 "><p id="mrs_01_0766__p46331231316">Policy002</p>
+</td>
+</tr>
+<tr id="mrs_01_0766__row9633142318314"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.1 "><p id="mrs_01_0766__p11633172313315">HBase Table</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.2 "><p id="mrs_01_0766__p45473261944">Name of the HBase table that the policy allows to access</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.3 "><p id="mrs_01_0766__p2063314239314">test1</p>
+</td>
+</tr>
+<tr id="mrs_01_0766__row863372320317"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.1 "><p id="mrs_01_0766__p16335231835">HBase Column-family</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.2 "><p id="mrs_01_0766__p054718261244">Column family of the HBase table that the policy allows to access</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.3 "><p id="mrs_01_0766__p176331023136">cf1</p>
+</td>
+</tr>
+<tr id="mrs_01_0766__row1663420237318"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.1 "><p id="mrs_01_0766__p663414239318">HBase Column</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.2 "><p id="mrs_01_0766__p1754752616416">Column name of the table corresponding to the HBase table that the policy allows to access</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.3 "><p id="mrs_01_0766__p1063412318311">name</p>
+</td>
+</tr>
+<tr id="mrs_01_0766__row463413231318"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.1 "><p id="mrs_01_0766__p1263412231934">Allow Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.2 "><ul id="mrs_01_0766__ul291972075620"><li id="mrs_01_0766__li1191916209565"><strong id="mrs_01_0766__b5891958123710">Select Group</strong>: user group that the policy allows to access</li><li id="mrs_01_0766__li956702325612"><strong id="mrs_01_0766__b9168165918370">Select User</strong>: user in the user group that the policy allows to access</li><li id="mrs_01_0766__li5554348566"><strong id="mrs_01_0766__b112882043810">Permissions</strong>: permissions that the policy allows the user to have</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.1.4.2.2.4.1.3 "><ul id="mrs_01_0766__ul11428874228"><li id="mrs_01_0766__li8428157182218">Select Group: <strong id="mrs_01_0766__b231114113818">testuser</strong></li><li id="mrs_01_0766__li14285711228">Select User: <strong id="mrs_01_0766__b230310253816">testuser</strong></li><li id="mrs_01_0766__li174281572225">Permissions: <strong id="mrs_01_0766__b1919933183810">Create</strong> and <strong id="mrs_01_0766__b141991132386">Select</strong></li></ul>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="fignone" id="mrs_01_0766__fig2047532791212"><span class="figcap"><b>Figure 3 </b>Adding an access control policy for <strong id="mrs_01_0766__b1313984153812">hbasedev</strong></span><br><span><img id="mrs_01_0766__image2461191716107" src="en-us_image_0000001295930284.png"></span></div>
+</li><li id="mrs_01_0766__li85730455122">Click <strong id="mrs_01_0766__b28658425393">Add</strong> to add the policy. According to the preceding policy, user <strong id="mrs_01_0766__b1187015427391">testuser</strong> in the <strong id="mrs_01_0766__b9871164223919">testuser</strong> user group has the <strong id="mrs_01_0766__b16871942133920">Create</strong> and <strong id="mrs_01_0766__b087104217397">Select</strong> permissions on the <strong id="mrs_01_0766__b11871174213392">cf1:name</strong> column in the <strong id="mrs_01_0766__b7871442193911">test1</strong> table of the <strong id="mrs_01_0766__b118729421391">default</strong> namespace in HBase, but no permissions to access other columns.</li></ol>
+</p></li><li id="mrs_01_0766__li653355053712"><span>Update and log in to the HBase client by referring to <a href="mrs_01_0368.html">Using HBase from Scratch</a>, and check whether HBase has been integrated into Ranger.</span><p><ol type="a" id="mrs_01_0766__ol63481623172519"><li id="mrs_01_0766__li1813416133279">Run the following command to access the HBase shell:<p id="mrs_01_0766__p229910510296"><a name="mrs_01_0766__li1813416133279"></a><a name="li1813416133279"></a><strong id="mrs_01_0766__b1780292618339">source /opt/client/bigdata_env</strong></p>
+<p id="mrs_01_0766__p15419941201513"><strong id="mrs_01_0766__b916613701512">hbase shell</strong></p>
+<div class="fignone" id="mrs_01_0766__fig194139416157"><span class="figcap"><b>Figure 4 </b>Accessing the HBase shell</span><br><span><img id="mrs_01_0766__image5316182913146" src="en-us_image_0000001296249756.png"></span></div>
+</li><li id="mrs_01_0766__li114993407521">Add data and check whether Ranger is integrated.<ol class="substepthirdol" id="mrs_01_0766__ol6778182921719"><li id="mrs_01_0766__li165771725151717">Add data to the <strong id="mrs_01_0766__b1031956163812">cf1:name</strong> column in the <strong id="mrs_01_0766__b148156143817">test1</strong> table.<p id="mrs_01_0766__p75731859101610"><b><span class="cmdname" id="mrs_01_0766__cmdname15136414174">put 'test1','001','cf1:name','tom'</span></b></p>
+</li><li id="mrs_01_0766__li171361536201710">Add data to the <strong id="mrs_01_0766__b161818584385">cf1:age</strong> column in the <strong id="mrs_01_0766__b261935810388">test1</strong> table. If the user has no permission to access this column, the data fails to be added.<p id="mrs_01_0766__p18329132141611"><b><span class="cmdname" id="mrs_01_0766__cmdname7624173751611">put 'test1','001','cf1:age',10</span></b></p>
+</li></ol>
+<div class="fignone" id="mrs_01_0766__fig464134592011"><span class="figcap"><b>Figure 5 </b>Verifying the integration of Ranger with HBase</span><br><span><img id="mrs_01_0766__image86416455201" src="en-us_image_0000001438276253.png"></span></div>
+</li></ol>
+</p></li></ol>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0761.html">Using Ranger (MRS 1.9.2)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0767.html b/docs/mrs/component-operation-guide/mrs_01_0767.html
new file mode 100644
index 000000000..c751c02d1
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0767.html
@@ -0,0 +1,28 @@
+<a name="mrs_01_0767"></a><a name="mrs_01_0767"></a>
+
+<h1 class="topictitle1">Accessing the Spark Web UI</h1>
+<div id="body1589421621257"><p id="mrs_01_0767__p874644582511">The Spark web UI is used to view the running status of Spark applications. Google Chrome is recommended for better user experience.</p>
+<p id="mrs_01_0767__en-us_topic_0036027307_p27469644195138">Spark has two web UIs.</p>
+<ul id="mrs_01_0767__en-us_topic_0036027307_ul24825544195145"><li id="mrs_01_0767__en-us_topic_0036027307_li22103310195145">Spark UI: used to display the status of running applications.<p id="mrs_01_0767__en-us_topic_0036027307_p64712065195145"><a name="mrs_01_0767__en-us_topic_0036027307_li22103310195145"></a><a name="en-us_topic_0036027307_li22103310195145"></a>The UI includes the following parts: Jobs, Stages, Storage, Environment, Executors, SQL, and JDBC/ODBC Server. The Streaming application has the Streaming tab in addition to the preceding parts.</p>
+</li><li id="mrs_01_0767__en-us_topic_0036027307_li45426535145217">History Server UI: used to display the status of Spark applications that are complete or incomplete.<p id="mrs_01_0767__p640713711254"><a name="mrs_01_0767__en-us_topic_0036027307_li45426535145217"></a><a name="en-us_topic_0036027307_li45426535145217"></a>The UI includes the application ID, application name, start time, end time, execution time, and owner information.</p>
+</li></ul>
+<div class="section" id="mrs_01_0767__section15116141312243"><h4 class="sectiontitle">Spark UI</h4><ol id="mrs_01_0767__ol43101650122618"><li id="mrs_01_0767__li1450385018333"><span>Access the component management page.</span><p><ul id="mrs_01_0767__ul48008460573"><li id="mrs_01_0767__li1827754692810">For versions earlier than MRS 1.9.2, log in to MRS Manager and choose <strong id="mrs_01_0767__b193741413197">Services</strong>.</li><li id="mrs_01_0767__li1080074618576">For versions earlier than MRS 3.<em id="mrs_01_0767__i514875318195">x</em>, click the cluster name to go to the cluster details page and choose <strong id="mrs_01_0767__b8807164413193">Components</strong>.<div class="note" id="mrs_01_0767__note1280014616574"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0767__p158007468574">If the <strong id="mrs_01_0767__b109675213012">Components</strong> tab is unavailable, complete IAM user synchronization first. (On the <strong id="mrs_01_0767__b159619527013">Dashboard</strong> page, click <strong id="mrs_01_0767__b49665211017">Synchronize</strong> on the right side of <span class="parmname" id="mrs_01_0767__parmname199795218010"><b>IAM User Sync</b></span> to synchronize IAM users.)</p>
+</div></div>
+</li><li id="mrs_01_0767__li78001046145717">For MRS 3.<em id="mrs_01_0767__i1124719585192">x</em> or later, log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. Choose <strong id="mrs_01_0767__b138941259161918">Cluster</strong> &gt; <em id="mrs_01_0767__i1789515921915">Name of the desired cluster</em> &gt; <strong id="mrs_01_0767__b389695941917">Services</strong>.</li></ul>
+</p></li><li id="mrs_01_0767__li1636202311390"><span>Select <strong id="mrs_01_0767__b5967105310527">Yarn</strong>. In the <span class="parmname" id="mrs_01_0767__parmname13969165325212"><b>Yarn Summary</b></span> area, click <strong id="mrs_01_0767__b39701535528">ResourceManager</strong> in <strong id="mrs_01_0767__b1971185315523">ResourceManager Web UI</strong> to access the web UI.</span></li><li id="mrs_01_0767__li13948151714114"><span>Locate the Spark application. Click <span class="parmname" id="mrs_01_0767__parmname19604945104114"><b>ApplicationMaster</b></span> in the last column of the application information. The Spark UI is displayed.</span><p><div class="fignone" id="mrs_01_0767__fig1725412257614"><span class="figcap"><b>Figure 1 </b>ApplicationMaster</span><br><span><img id="mrs_01_0767__image191716151469" src="en-us_image_0000001388045030.png"></span></div>
+<div class="fignone" id="mrs_01_0767__fig941314811449"><span class="figcap"><b>Figure 2 </b>Spark UI</span><br><span><img id="mrs_01_0767__image118131017351" src="en-us_image_0000001295770828.png"></span></div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0767__section203881712162610"><h4 class="sectiontitle">History Server</h4><ol id="mrs_01_0767__ol68231358451"><li id="mrs_01_0767__li1064515408350"><span>Access the component management page.</span><p><ul id="mrs_01_0767__ul1164594019358"><li id="mrs_01_0767__li964519403355">For versions earlier than MRS 1.9.2, log in to MRS Manager and choose <strong id="mrs_01_0767__b61881814202">Services</strong>.</li><li id="mrs_01_0767__li364518408351">For versions earlier than MRS 3.<em id="mrs_01_0767__i12902141142016">x</em>, click the cluster name to go to the cluster details page and choose <strong id="mrs_01_0767__b149091911182020">Components</strong>.<div class="note" id="mrs_01_0767__note18645204016358"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0767__p1041917874419">If the <strong id="mrs_01_0767__b14114541704">Components</strong> tab is unavailable, complete IAM user synchronization first. (On the <strong id="mrs_01_0767__b6119541208">Dashboard</strong> page, click <strong id="mrs_01_0767__b1511954606">Synchronize</strong> on the right side of <span class="parmname" id="mrs_01_0767__parmname613541011"><b>IAM User Sync</b></span> to synchronize IAM users.)</p>
+</div></div>
+</li><li id="mrs_01_0767__li126451340133519">For MRS 3.<em id="mrs_01_0767__i71381516172012">x</em> or later, log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. Choose <strong id="mrs_01_0767__b13920171711207">Cluster</strong> &gt; <em id="mrs_01_0767__i17922111713202">Name of the desired cluster</em> &gt; <strong id="mrs_01_0767__b1092301712011">Services</strong>.</li></ul>
+</p></li><li id="mrs_01_0767__li882415519456"><span>Select <strong id="mrs_01_0767__b1414512128544">Spark</strong>. In the <span class="parmname" id="mrs_01_0767__parmname19147612165418"><b>Spark Summary</b></span> area, click <strong id="mrs_01_0767__b21481512155417">JobHistory</strong> corresponding to <span class="parmname" id="mrs_01_0767__parmname201504124542"><b>Spark Web UI</b></span> to access the web UI.</span><p><div class="fignone" id="mrs_01_0767__fig44392311151"><span class="figcap"><b>Figure 3 </b>Spark History Server</span><br><span><img id="mrs_01_0767__image12925174831418" src="en-us_image_0000001439698689.png"></span></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0589.html">Using Spark</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0784.html b/docs/mrs/component-operation-guide/mrs_01_0784.html
new file mode 100644
index 000000000..3e39b7d0c
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0784.html
@@ -0,0 +1,18 @@
+<a name="mrs_01_0784"></a><a name="mrs_01_0784"></a>
+
+<h1 class="topictitle1">Viewing Flink Job Information</h1>
+<div id="body1589421637998"><p id="mrs_01_0784__p1313321251414">You can view Flink job information on the Yarn web UI. </p>
+<div class="section" id="mrs_01_0784__s5e180c6a1e264422a14ddfca7e340a74"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_0784__p3257837115313">The Flink service has been installed in a cluster.</p>
+</div>
+<div class="section" id="mrs_01_0784__section19704530171820"><h4 class="sectiontitle">Accessing the Yarn Web UI</h4><ol id="mrs_01_0784__ol1938681191916"><li id="mrs_01_0784__li13806122116487"><span>Go to the Yarn service page.</span><p><ul id="mrs_01_0784__ul1692910323486"><li id="mrs_01_0784__li792916322486">For versions earlier than MRS 1.9.2, log in to MRS Manager and choose <strong id="mrs_01_0784__b1898625105318">Services</strong> &gt; <strong id="mrs_01_0784__b598625118537">Yarn</strong> &gt; <strong id="mrs_01_0784__b10408182515410">Yarn Summary</strong>.</li><li id="mrs_01_0784__li979413816488">For MRS 1.9.2 or later, click the cluster name on the MRS console and choose <strong id="mrs_01_0784__b55931250125614">Components</strong> &gt; <strong id="mrs_01_0784__b85947502567">Yarn</strong> &gt; <strong id="mrs_01_0784__b11538122212579">Yarn Summary</strong>.<div class="note" id="mrs_01_0784__note1182754292716"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0784__p245592033712">If the <strong id="mrs_01_0784__b1781792810573">Components</strong> tab is unavailable, complete IAM user synchronization first. (On the <strong id="mrs_01_0784__b381714281571">Dashboard</strong> page, click <strong id="mrs_01_0784__b1181814284577">Synchronize</strong> on the right side of <span class="parmname" id="mrs_01_0784__parmname1281892810573"><b>IAM User Sync</b></span> to synchronize IAM users.)</p>
+</div></div>
+</li><li id="mrs_01_0784__li1735384902518">For MRS 3.<em id="mrs_01_0784__i1019961072312">x</em> or later, log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. Choose <strong id="mrs_01_0784__b10071433181937">Cluster</strong> &gt; <em id="mrs_01_0784__i61289091481937">Name of the desired cluster</em> &gt; <strong id="mrs_01_0784__b68324600081937">Services</strong> &gt; <strong id="mrs_01_0784__b91408613181937">Yarn</strong> &gt; <strong id="mrs_01_0784__b91868248881937">Instance</strong> &gt; <strong id="mrs_01_0784__b75630449181937">Dashboard</strong>.</li></ul>
+</p></li><li id="mrs_01_0784__li7475113915222"><span>Click the link next to <strong id="mrs_01_0784__b493175032710">ResourceManager WebUI</strong> to go to the Yarn web UI page.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0591.html">Using Flink</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_0789"></a><a name="mrs_01_0789"></a>
+
+<h1 class="topictitle1">DBService Log Overview</h1>
+<div id="body1590116319937"><div class="section" id="mrs_01_0789__s08b4d140517e4a7e881db716307fe03e"><h4 class="sectiontitle">Log Description</h4><p id="mrs_01_0789__en-us_topic_0046736729_p61612656"><strong id="mrs_01_0789__b3644152316403">Log path</strong>: The default storage path of DBService log files is <strong id="mrs_01_0789__b17338194017405">/var/log/Bigdata/dbservice</strong>.</p>
+<ul id="mrs_01_0789__en-us_topic_0046736729_ul24569252"><li id="mrs_01_0789__en-us_topic_0046736729_li19796676">GaussDB: <strong id="mrs_01_0789__b11245451194114">/var/log/Bigdata/dbservice/DB</strong> (GaussDB run log directory), <strong id="mrs_01_0789__b6589102820421">/var/log/Bigdata/dbservice/scriptlog/gaussdbinstall.log</strong> (GaussDB installation log), and <strong id="mrs_01_0789__b128516169430">/var/log/gaussdbuninstall.log</strong> (GaussDB uninstallation log).</li><li id="mrs_01_0789__en-us_topic_0046736729_li43952359">HA: <strong id="mrs_01_0789__b831419913442">/var/log/Bigdata/dbservice/ha/runlog</strong> (HA run log directory) and <strong id="mrs_01_0789__b82091724154419">/var/log/Bigdata/dbservice/ha/scriptlog</strong> (HA script log directory)</li><li id="mrs_01_0789__en-us_topic_0046736729_li60026919">DBServer: <strong id="mrs_01_0789__b1646861794514">/var/log/Bigdata/dbservice/healthCheck</strong> (Directory of service and process health check logs)<p id="mrs_01_0789__en-us_topic_0046736729_p3371364"><strong id="mrs_01_0789__b0682132414465">/var/log/Bigdata/dbservice/scriptlog</strong> (run log directory), <strong id="mrs_01_0789__b103917426462">/var/log/Bigdata/audit/dbservice/</strong> (audit log directory)</p>
+</li></ul>
+<p id="mrs_01_0789__en-us_topic_0046736729_p30342279">Log archive rule: The automatic DBService log compression function is enabled. By default, when the size of logs exceeds 1 MB, logs are automatically compressed into a log file named in the following format: <em id="mrs_01_0789__i1268811557013">&lt;Original log file name&gt;-[No.]</em><strong id="mrs_01_0789__b119713581704">.gz</strong>. A maximum of 20 latest compressed files are reserved.</p>
+<div class="note" id="mrs_01_0789__en-us_topic_0046736729_note4645057"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_0789__en-us_topic_0046736729_p41805515">Log archive rules cannot be modified.</p>
+</div></div>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0789__en-us_topic_0046736729_table40705318" frame="border" border="1" rules="all"><caption><b>Table 1 </b>DBService log list</caption><thead align="left"><tr id="mrs_01_0789__en-us_topic_0046736729_row538217"><th align="left" class="cellrowborder" valign="top" width="24.709999999999997%" id="mcps1.3.1.6.2.4.1.1"><p id="mrs_01_0789__en-us_topic_0046736729_p43595579"><strong id="mrs_01_0789__b139302046205014">Type</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="42.04%" id="mcps1.3.1.6.2.4.1.2"><p id="mrs_01_0789__en-us_topic_0046736729_p38684921"><strong id="mrs_01_0789__b7619203661112">Log File Name</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.25%" id="mcps1.3.1.6.2.4.1.3"><p id="mrs_01_0789__en-us_topic_0046736729_p15584974"><strong id="mrs_01_0789__b1149817318511">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0789__en-us_topic_0046736729_row20048509"><td class="cellrowborder" rowspan="14" valign="top" width="24.709999999999997%" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0789__en-us_topic_0046736729_p13316560">DBServer run log</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.04%" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0789__en-us_topic_0046736729_p4899555">dbservice_serviceCheck.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.25%" headers="mcps1.3.1.6.2.4.1.3 "><p id="mrs_01_0789__en-us_topic_0046736729_p61319646">Run log file of the service check script</p>
+</td>
+</tr>
+<tr id="mrs_01_0789__en-us_topic_0046736729_row15005906"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0789__en-us_topic_0046736729_p7518910">dbservice_processCheck.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0789__en-us_topic_0046736729_p5051941">Run log file of the process check script</p>
+</td>
+</tr>
+<tr id="mrs_01_0789__en-us_topic_0046736729_row45467475"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0789__en-us_topic_0046736729_p58986881">backup.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0789__en-us_topic_0046736729_p13208031">Run logs of backup and restoration operations (The DBService backup and restoration operations need to be performed.)</p>
+</td>
+</tr>
+<tr id="mrs_01_0789__en-us_topic_0046736729_row51763415"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0789__en-us_topic_0046736729_p32087105">checkHaStatus.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0789__en-us_topic_0046736729_p48918703">Log file of HA check records</p>
+</td>
+</tr>
+<tr id="mrs_01_0789__en-us_topic_0046736729_row37615147"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0789__en-us_topic_0046736729_p26928091">cleanupDBService.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0789__en-us_topic_0046736729_p33691780">Uninstallation log file (You need to uninstall DBService logs.)</p>
+</td>
+</tr>
+<tr id="mrs_01_0789__en-us_topic_0046736729_row34790565"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0789__en-us_topic_0046736729_p66572341">componentUserManager.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0789__en-us_topic_0046736729_p23650513">Log file that records the adding and deleting operations on the database by users</p>
+<p id="mrs_01_0789__p4774133132213">(Services that depend on DBService need to be added.)</p>
+</td>
+</tr>
+<tr id="mrs_01_0789__en-us_topic_0046736729_row11528032"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0789__en-us_topic_0046736729_p61355386">install.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0789__en-us_topic_0046736729_p3730389">Installation log file</p>
+</td>
+</tr>
+<tr id="mrs_01_0789__en-us_topic_0046736729_row33573506"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0789__en-us_topic_0046736729_p35099489">preStartDBService.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0789__en-us_topic_0046736729_p24486356">Pre-startup log file</p>
+</td>
+</tr>
+<tr id="mrs_01_0789__en-us_topic_0046736729_row19050617"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0789__en-us_topic_0046736729_p66704998">start_dbserver.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0789__en-us_topic_0046736729_p34395739">DBServer startup operation log file (DBService needs to be started.)</p>
+</td>
+</tr>
+<tr id="mrs_01_0789__en-us_topic_0046736729_row41126201"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0789__en-us_topic_0046736729_p42887950">stop_dbserver.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0789__en-us_topic_0046736729_p51371903">DBServer stop operation log file (DBService needs to be stopped.)</p>
+</td>
+</tr>
+<tr id="mrs_01_0789__en-us_topic_0046736729_row59693950"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0789__en-us_topic_0046736729_p3371814">status_dbserver.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0789__en-us_topic_0046736729_p4681502">Log file of the DBServer status check (You need to execute the <strong id="mrs_01_0789__b1250562912316">$DBSERVICE_HOME/sbin/status-dbserver.sh</strong> script.)</p>
+</td>
+</tr>
+<tr id="mrs_01_0789__en-us_topic_0046736729_row42133519"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0789__en-us_topic_0046736729_p57371907">modifyPassword.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0789__en-us_topic_0046736729_p16612891">Run log file of changing the DBService password script. (You need to execute the <strong id="mrs_01_0789__b121652344306">$DBSERVICE_HOME/sbin/modifyDBPwd.sh</strong> script.)</p>
+</td>
+</tr>
+<tr id="mrs_01_0789__en-us_topic_0046736729_row15298296"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0789__en-us_topic_0046736729_p31202498">modifyDBPwd_yyyy-mm-dd.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0789__en-us_topic_0046736729_p44374437">Run log file that records the DBService password change tool</p>
+<p id="mrs_01_0789__p9357131120539">(You need to execute the <strong id="mrs_01_0789__b12486174633011">$DBSERVICE_HOME/sbin/modifyDBPwd.sh</strong> script.)</p>
+</td>
+</tr>
+<tr id="mrs_01_0789__row3316138910170"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0789__p493851110170">dbserver_switchover.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0789__p6447512510170">Log for DBServer to execute the active/standby switchover script (the active/standby switchover needs to be performed)</p>
+</td>
+</tr>
+<tr id="mrs_01_0789__en-us_topic_0046736729_row63825615"><td class="cellrowborder" rowspan="5" valign="top" width="24.709999999999997%" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0789__en-us_topic_0046736729_p2492297">GaussDB run log</p>
+<p id="mrs_01_0789__p1061494119513"></p>
+</td>
+<td class="cellrowborder" valign="top" width="42.04%" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0789__en-us_topic_0046736729_p549487">gaussdb.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.25%" headers="mcps1.3.1.6.2.4.1.3 "><p id="mrs_01_0789__en-us_topic_0046736729_p44508523">Log file that records database running information</p>
+</td>
+</tr>
+<tr id="mrs_01_0789__en-us_topic_0046736729_row65032387"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0789__en-us_topic_0046736729_p33132024">gs_ctl-current.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0789__en-us_topic_0046736729_p66448310">Log file that records operations performed by using the <strong id="mrs_01_0789__b74313124557">gs_ctl</strong> tool</p>
+</td>
+</tr>
+<tr id="mrs_01_0789__en-us_topic_0046736729_row61163879"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0789__en-us_topic_0046736729_p55327172">gs_guc-current.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0789__en-us_topic_0046736729_p52315966">Log file that records operations, mainly parameter modification performed by using the <strong id="mrs_01_0789__b109703212559">gs_guc</strong> tool</p>
+</td>
+</tr>
+<tr id="mrs_01_0789__en-us_topic_0046736729_row1081649"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0789__en-us_topic_0046736729_p20504736">gaussdbinstall.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0789__en-us_topic_0046736729_p50270944">GaussDB installation log file</p>
+</td>
+</tr>
+<tr id="mrs_01_0789__en-us_topic_0046736729_row49785318"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0789__en-us_topic_0046736729_p6078946">gaussdbuninstall.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0789__en-us_topic_0046736729_p22632578">GaussDB uninstallation log file</p>
+</td>
+</tr>
+<tr id="mrs_01_0789__en-us_topic_0046736729_row2366611"><td class="cellrowborder" rowspan="5" valign="top" width="24.709999999999997%" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0789__en-us_topic_0046736729_p57477797">HA script run log</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.04%" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0789__en-us_topic_0046736729_p25189967">floatip_ha.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.25%" headers="mcps1.3.1.6.2.4.1.3 "><p id="mrs_01_0789__en-us_topic_0046736729_p27121466">Log file that records the script of floating IP addresses</p>
+</td>
+</tr>
+<tr id="mrs_01_0789__en-us_topic_0046736729_row42766607"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0789__en-us_topic_0046736729_p41543166">gaussDB_ha.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0789__en-us_topic_0046736729_p9553281">Log file that records the script of GaussDB resources</p>
+</td>
+</tr>
+<tr id="mrs_01_0789__en-us_topic_0046736729_row18870670"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0789__en-us_topic_0046736729_p52129291">ha_monitor.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0789__en-us_topic_0046736729_p61723024">Log file that records the HA process monitoring information</p>
+</td>
+</tr>
+<tr id="mrs_01_0789__en-us_topic_0046736729_row18636310"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0789__en-us_topic_0046736729_p33146107">send_alarm.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0789__en-us_topic_0046736729_p480124">Alarm sending log file</p>
+</td>
+</tr>
+<tr id="mrs_01_0789__en-us_topic_0046736729_row4321123"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0789__en-us_topic_0046736729_p14466715">ha.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0789__en-us_topic_0046736729_p30953251">HA run log file</p>
+</td>
+</tr>
+<tr id="mrs_01_0789__en-us_topic_0046736729_row10143804"><td class="cellrowborder" valign="top" width="24.709999999999997%" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0789__en-us_topic_0046736729_p16341824">DBService audit log</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.04%" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0789__en-us_topic_0046736729_p48619368">dbservice_audit.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.25%" headers="mcps1.3.1.6.2.4.1.3 "><p id="mrs_01_0789__en-us_topic_0046736729_p45854749">Audit log file that records DBService operations, such as backup and restoration operations</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_0789__sfc9e7a8722ef41d799c7be88ec1ea5b4"><h4 class="sectiontitle">Log Format</h4><p id="mrs_01_0789__en-us_topic_0046736729_p23247174">The following table lists the DBService log formats.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0789__en-us_topic_0046736729_table7897978" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Log format</caption><thead align="left"><tr id="mrs_01_0789__en-us_topic_0046736729_row4194840"><th align="left" class="cellrowborder" valign="top" width="12.36%" id="mcps1.3.2.3.2.4.1.1"><p id="mrs_01_0789__en-us_topic_0046736729_p4237727"><strong id="mrs_01_0789__b137911944805">Type</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="39.64%" id="mcps1.3.2.3.2.4.1.2"><p id="mrs_01_0789__en-us_topic_0046736729_p2295787"><strong id="mrs_01_0789__b1336617461603">Format</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="48%" id="mcps1.3.2.3.2.4.1.3"><p id="mrs_01_0789__en-us_topic_0046736729_p63016113"><strong id="mrs_01_0789__b16267347702">Example</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0789__en-us_topic_0046736729_row36283926"><td class="cellrowborder" valign="top" width="12.36%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_0789__en-us_topic_0046736729_p53316885">Run log</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.64%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_0789__en-us_topic_0046736729_p23700453">[&lt;<em id="mrs_01_0789__i157721729273">yyyy-MM-dd HH:mm:ss</em>&gt;] &lt;<em id="mrs_01_0789__i17452183312720">Log level</em>&gt;: [&lt; <em id="mrs_01_0789__i162421208119">Name of the script that generates the log</em>: <em id="mrs_01_0789__i58271613411">Line number</em> &gt;]: &lt; <em id="mrs_01_0789__i783220394611">Message in the log</em>&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="48%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_0789__p289819272911">[2020-12-19 15:56:42] INFO [postinstall.sh:653] Is cloud flag is false. (main)</p>
+</td>
+</tr>
+<tr id="mrs_01_0789__en-us_topic_0046736729_row30652703"><td class="cellrowborder" valign="top" width="12.36%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_0789__en-us_topic_0046736729_p66949839">Audit log</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.64%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_0789__en-us_topic_0046736729_p54227851">[&lt;<em id="mrs_01_0789__i163001519111113">yyyy-MM-dd HH:mm:ss,SSS</em>&gt;] UserName:&lt;<em id="mrs_01_0789__i126511049143716">Username</em>&gt; UserIP:&lt;<em id="mrs_01_0789__i340012211388">User IP address</em>&gt; Operation:&lt;<em id="mrs_01_0789__i12429195503710">Operation content</em>&gt; Result:&lt;<em id="mrs_01_0789__i959485914376">Operation results</em>&gt; Detail:&lt;<em id="mrs_01_0789__i1573215215388">Detailed information</em>&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="48%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_0789__en-us_topic_0046736729_p30379836">[2020-05-26 22:00:23] UserName:omm UserIP:192.168.10.21 Operation:DBService data backup Result:  SUCCESS Detail: DBService data  backup is successful.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2356.html">Using DBService</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0790.html b/docs/mrs/component-operation-guide/mrs_01_0790.html
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+<a name="mrs_01_0790"></a><a name="mrs_01_0790"></a>
+
+<h1 class="topictitle1">Using HDFS</h1>
+<div id="body1590130530104"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_0791.html">Configuring Memory Management</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1662.html">Creating an HDFS Role</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1663.html">Using the HDFS Client</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0794.html">Running the DistCp Command</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0795.html">Overview of HDFS File System Directories</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1664.html">Changing the DataNode Storage Directory</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0797.html">Configuring HDFS Directory Permission</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1665.html">Configuring NFS</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0799.html">Planning HDFS Capacity</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0801.html">Configuring ulimit for HBase and HDFS</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1667.html">Balancing DataNode Capacity</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0804.html">Configuring Replica Replacement Policy for Heterogeneous Capacity Among DataNodes</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0805.html">Configuring the Number of Files in a Single HDFS Directory</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0806.html">Configuring the Recycle Bin Mechanism</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0807.html">Setting Permissions on Files and Directories</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0808.html">Setting the Maximum Lifetime and Renewal Interval of a Token</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1669.html">Configuring the Damaged Disk Volume</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0810.html">Configuring Encrypted Channels</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0811.html">Reducing the Probability of Abnormal Client Application Operation When the Network Is Not Stable</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1670.html">Configuring the NameNode Blacklist</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1672.html">Optimizing HDFS NameNode RPC QoS</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1673.html">Optimizing HDFS DataNode RPC QoS</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1675.html">Configuring Reserved Percentage of Disk Usage on DataNodes</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1676.html">Configuring HDFS NodeLabel</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2360.html">Using HDFS AZ Mover</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1681.html">Configuring the Observer NameNode to Process Read Requests</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1684.html">Performing Concurrent Operations on HDFS Files</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0828.html">Introduction to HDFS Logs</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0829.html">HDFS Performance Tuning</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1690.html">FAQ</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0791.html b/docs/mrs/component-operation-guide/mrs_01_0791.html
new file mode 100644
index 000000000..0c99b8071
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0791.html
@@ -0,0 +1,45 @@
+<a name="mrs_01_0791"></a><a name="mrs_01_0791"></a>
+
+<h1 class="topictitle1">Configuring Memory Management</h1>
+<div id="body1590130530106"><div class="section" id="mrs_01_0791__s3636475a8fad49fba88e26f404606f97"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0791__a4b582575e7e14b56978f0a61ff95cb37">In HDFS, each file object needs to register corresponding information in the NameNode and occupies certain storage space. As the number of files increases, if the original memory space cannot store the corresponding information, you need to change the memory size.</p>
+</div>
+<div class="section" id="mrs_01_0791__s6b006f89ff084c32b6da9ac09d646f5c"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_0791__a811cf9a508b0454eb17b74ca9dd85880"><strong id="mrs_01_0791__b203210473355">Navigation path for setting parameters:</strong></p>
+<p id="mrs_01_0791__p39519895015">Go to the <strong id="mrs_01_0791__b1335215604317">All Configurations</strong> page of HDFS by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+</div>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0791__td1913adc9f3a4b09bdc3226f44204a92" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0791__rc7d4833f3d49472ca73912858fd5f2d0"><th align="left" class="cellrowborder" valign="top" width="22.62%" id="mcps1.3.3.2.4.1.1"><p id="mrs_01_0791__a7cdf534ff0fb40afafe4dee295445a73">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="35.4%" id="mcps1.3.3.2.4.1.2"><p id="mrs_01_0791__ae6236a57fd1d48f4b396cfa527e759fb">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="41.980000000000004%" id="mcps1.3.3.2.4.1.3"><p id="mrs_01_0791__a94af82cc20424031b9464e303a6007d4">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0791__r5e742f7deaf94b1086e96e349c70a1ba"><td class="cellrowborder" valign="top" width="22.62%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_0791__ab552978628f64083858a964656633904">GC_PROFILE</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.4%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_0791__ac339b3162a5b46028eb1469e53b3956a">The NameNode memory size depends on the size of FsImage, which can be calculated based on the following formula: FsImage size = Number of files x 900 bytes. You can estimate the memory size of the NameNode of HDFS based on the calculation result.</p>
+<p id="mrs_01_0791__a6c8d6d8dcc4e4a1ca951772cb42a6db8">The value range of this parameter is as follows:</p>
+<ul id="mrs_01_0791__ua11c6dfe4187478aa289021d3e272459"><li id="mrs_01_0791__ld73aa715b4404566a3f7d8a061a4afc6"><strong id="mrs_01_0791__b594319775019">high</strong>: 4 GB</li><li id="mrs_01_0791__lb016a2b70c974113b8e3c83f943de3d7"><strong id="mrs_01_0791__b2710151455014">medium</strong>: 2 GB</li><li id="mrs_01_0791__l1ab159058f7943fca3ac1acf0626da38"><strong id="mrs_01_0791__b1874642211508">low</strong>: 256 MB</li><li id="mrs_01_0791__l2e5c9c075704495aac1a352869ddbb5d"><strong id="mrs_01_0791__b9749737185016">custom</strong>: The memory size can be set according to the data size in GC_OPTS.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="41.980000000000004%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_0791__a2461f3e335334774a9d3fd51d5d13a2a">custom</p>
+</td>
+</tr>
+<tr id="mrs_01_0791__row39558714101619"><td class="cellrowborder" valign="top" width="22.62%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_0791__p50139260101619">GC_OPTS</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.4%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_0791__p34748246101619">JVM parameter used for garbage collection (GC). This parameter is valid only when <strong id="mrs_01_0791__b4664758185013">GC_PROFILE</strong> is set to <strong id="mrs_01_0791__b667025819509">custom</strong>. Ensure that the <strong id="mrs_01_0791__b1041166155116">GC_OPT</strong> parameter is set correctly. Otherwise, the process will fail to be started.</p>
+<div class="notice" id="mrs_01_0791__note954615441212"><span class="noticetitle"> NOTICE: </span><div class="noticebody"><p id="mrs_01_0791__p1438705918121">Exercise caution when you modify the configuration. If the configuration is incorrect, the services are unavailable.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="41.980000000000004%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_0791__p31802318364">-Xms2G -Xmx4G -XX:NewSize=128M -XX:MaxNewSize=256M -XX:MetaspaceSize=128M -XX:MaxMetaspaceSize=128M -XX:+UseConcMarkSweepGC -XX:+CMSParallelRemarkEnabled -XX:CMSInitiatingOccupancyFraction=65 -XX:+PrintGCDetails -Dsun.rmi.dgc.client.gcInterval=0x7FFFFFFFFFFFFFE -Dsun.rmi.dgc.server.gcInterval=0x7FFFFFFFFFFFFFE -XX:-OmitStackTraceInFastThrow -XX:+PrintGCDateStamps -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=10 -XX:GCLogFileSize=1M -Djdk.tls.ephemeralDHKeySize=2048</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0794.html b/docs/mrs/component-operation-guide/mrs_01_0794.html
new file mode 100644
index 000000000..8f35602b1
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0794.html
@@ -0,0 +1,189 @@
+<a name="mrs_01_0794"></a><a name="mrs_01_0794"></a>
+
+<h1 class="topictitle1">Running the DistCp Command</h1>
+<div id="body1590130531380"><div class="section" id="mrs_01_0794__se9608011680e423ca403d5207c374daa"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0794__a38fb70b283514ab78798b4fe0c90e0b6">DistCp is a tool used to perform large-amount data replication between clusters or in a cluster. It uses MapReduce tasks to implement distributed copy of a large amount of data.</p>
+</div>
+<div class="section" id="mrs_01_0794__sa8a135a114cf4cbc8674242bd0cfebd7"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_0794__ul6387132716574"><li id="mrs_01_0794__li8601330165719">The Yarn client or a client that contains Yarn has been installed. For example, the installation directory is <strong id="mrs_01_0794__b8319135514116">/opt/client</strong>.</li><li id="mrs_01_0794__la8a352e20c414015a0e60f8023ecc0a5">Service users of each component are created by the system administrator based on service requirements. In security mode, machine-machine users need to download the keytab file. A human-machine user must change the password upon the first login. (Not involved in normal mode)</li><li id="mrs_01_0794__li442982112020">To copy data between clusters, you need to enable the inter-cluster data copy function on both clusters.</li></ul>
+</div>
+<div class="section" id="mrs_01_0794__s729d2c48e7354c7bb15884e152e37570"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0794__o65a723c3f0644a5ca5bc95b50051ef8f"><li id="mrs_01_0794__l3a2e1b7a8d004152865881b7d9bda58b"><span>Log in to the node where the client is installed.</span></li><li id="mrs_01_0794__l918962d747ac488fae8d369a02cf0b01"><span>Run the following command to go to the client installation directory:</span><p><p id="mrs_01_0794__ae6fabba0d23e4ae4bc35c6ef79cff605"><strong id="mrs_01_0794__a5a32ca4aacc5401ca0e8e8a12040e570">cd /opt/client</strong></p>
+</p></li><li id="mrs_01_0794__lf110d935709c4ac48ee0ad1420665c2e"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_0794__acfff651122a74259a5e01741838c29e9"><strong id="mrs_01_0794__a468a1a99aae541fbab02686dddf0e45a">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_0794__lc24dad0c1fb34eec930f24087726a7fd"><span>If the cluster is in security mode, the user group to which the user executing the DistCp command belongs must be <strong id="mrs_01_0794__b107621146842">supergroup</strong> and the user run the following command to perform user authentication. In normal mode, user authentication is not required.</span><p><p id="mrs_01_0794__a2a7d2557b3594004a61ea1dc86fb7d75"><strong id="mrs_01_0794__b299183011614">kinit</strong> <em id="mrs_01_0794__a3b95ea3e27ab410b9ddb246864099722">Component service user</em></p>
+</p></li><li id="mrs_01_0794__li6626247810502"><span>Run the DistCp command. The following provides an example:</span><p><p id="mrs_01_0794__p627806210507"><strong id="mrs_01_0794__b49237178104947">hadoop distcp hdfs://hacluster/source hdfs://hacluster/target</strong></p>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0794__section17302426416"><h4 class="sectiontitle">Common Usage of DistCp</h4><ol id="mrs_01_0794__ol1757016389429"><li id="mrs_01_0794__li192632919213">The following is an example of the commonest usage of DistCp:<pre class="screen" id="mrs_01_0794__screen141611532139">hadoop distcp -numListstatusThreads 40 -update -delete -prbugpaxtq <em id="mrs_01_0794__i167714412139">hdfs://cluster1/source hdfs://cluster2/target</em></pre>
+<div class="note" id="mrs_01_0794__note6412193754414"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0794__p54281509457">In the preceding command:</p>
+<ul id="mrs_01_0794__ul8334655134616"><li id="mrs_01_0794__li3334455124620"><strong id="mrs_01_0794__b19634815910">-numListstatusThreads</strong> specifies the number of threads for creating the list of 40 copied files.</li></ul>
+<ul id="mrs_01_0794__ul74751122470"><li id="mrs_01_0794__li7475228471"><strong id="mrs_01_0794__b962824913918">-update -delete</strong> specifies that files at the source location and the target location are synchronized, and that files with excessive target locations are deleted. If you need to copy files incrementally, delete <strong id="mrs_01_0794__b1261432510107">-delete</strong>.</li></ul>
+<ul id="mrs_01_0794__ul17709139164710"><li id="mrs_01_0794__li2709179164715">If <strong id="mrs_01_0794__b680915321101">-prbugpaxtq</strong> and <strong id="mrs_01_0794__b1063864431010">-update</strong> are used, it indicates that the status information of the copied file is also updated.</li></ul>
+<ul id="mrs_01_0794__ul1973171214478"><li id="mrs_01_0794__li2973101264712"><strong id="mrs_01_0794__b12771173891212">hdfs://cluster1/source</strong> indicates the source location, and <strong id="mrs_01_0794__b1437312444126">hdfs://cluster2/target</strong> indicates the target location.</li></ul>
+</div></div>
+</li><li id="mrs_01_0794__li55701438184214">The following is an example of data copy between clusters:<pre class="screen" id="mrs_01_0794__screen1199431118119">hadoop distcp hdfs://cluster1/foo/bar <em id="mrs_01_0794__i1559365820132">hdfs://cluster2/bar/foo</em></pre>
+<div class="note" id="mrs_01_0794__note68354112220"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0794__p108135442211">The network between cluster1 and cluster2 must be reachable, and the two clusters must use the same HDFS version or compatible HDFS versions.</p>
+</div></div>
+</li><li id="mrs_01_0794__li13570143814424">The following are multiple examples of data copy in a source directory:<pre class="screen" id="mrs_01_0794__screen7758112755111">hadoop distcp hdfs://cluster1/foo/a \
+hdfs://cluster1/foo/b \
+hdfs://cluster2/bar/foo</pre>
+<p id="mrs_01_0794__p87101910115115">The preceding command is used to copy the folders a and b of cluster1 to the <span class="filepath" id="mrs_01_0794__filepath194131133141"><b>/bar/foo</b></span> directory of cluster2. The effect is equivalent to that of the following commands:</p>
+<pre class="screen" id="mrs_01_0794__screen14289534137">hadoop distcp -f hdfs://cluster1/srclist \
+hdfs://cluster2/bar/foo</pre>
+<p id="mrs_01_0794__p18710181095116">The content of <strong id="mrs_01_0794__b1333612514179">srclist</strong> is as follows. Before running the DistCp command, upload the <strong id="mrs_01_0794__b13842301818">srclist</strong> file to HDFS.</p>
+<pre class="screen" id="mrs_01_0794__screen949281513816">hdfs://cluster1/foo/a 
+hdfs://cluster1/foo/b</pre>
+</li><li id="mrs_01_0794__li7389173504218"><strong id="mrs_01_0794__b9238121314317">-update</strong> indicates that a to-be-copied file does not exist in the target location, or the content of the copied file in the target location is updated; and <strong id="mrs_01_0794__b13462182474311">-overwrite</strong> is used to overwrite existing files in the target location.<p id="mrs_01_0794__p127984010428">The following is an example of the difference between no option and any one of the two options (either <strong id="mrs_01_0794__b10659162084810">update</strong> or <strong id="mrs_01_0794__b74221823184820">overwrite</strong>) that is added:</p>
+<p id="mrs_01_0794__p168261893449">Assume that the structure of a file at the source location is as follows:</p>
+<pre class="screen" id="mrs_01_0794__screen43699485012">hdfs://cluster1/source/first/1 
+hdfs://cluster1/source/first/2 
+hdfs://cluster1/source/second/10 
+hdfs://cluster1/source/second/20</pre>
+<p id="mrs_01_0794__p139781843175010">Commands without options are as follows:</p>
+<pre class="screen" id="mrs_01_0794__screen209941030145116">hadoop distcp hdfs://cluster1/source/first  hdfs://cluster1/source/second  hdfs://cluster2/target</pre>
+<p id="mrs_01_0794__p977510176523">By default, the preceding command creates the <strong id="mrs_01_0794__b1762541974618">first</strong> and <strong id="mrs_01_0794__b782332124620">second</strong> folders at the target location. Therefore, the copy results are as follows:</p>
+<pre class="screen" id="mrs_01_0794__screen857481675420">hdfs://cluster2/target/first/1 
+hdfs://cluster2/target/first/2 
+hdfs://cluster2/target/second/10 
+hdfs://cluster2/target/second/20</pre>
+<p id="mrs_01_0794__p13421151785512">The command with any one of the two options (for example, <strong id="mrs_01_0794__b61995312460">update</strong>) is as follows:</p>
+<pre class="screen" id="mrs_01_0794__screen7206919165616">hadoop distcp -update hdfs://cluster1/source/first  hdfs://cluster1/source/second  hdfs://cluster2/target</pre>
+<p id="mrs_01_0794__p5161620577">The preceding command copies only the content at the source location to the target location. Therefore, the copy results are as follows:</p>
+<pre class="screen" id="mrs_01_0794__screen22074116598">hdfs://cluster2/target/1 
+hdfs://cluster2/target/2 
+hdfs://cluster2/target/10 
+hdfs://cluster2/target/20</pre>
+<div class="note" id="mrs_01_0794__note4652155218018"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0794__ul186441454477"><li id="mrs_01_0794__li56441456479">If files with the same name exist in multiple source locations, the DistCp command fails.</li></ul>
+<ul id="mrs_01_0794__ul3512507479"><li id="mrs_01_0794__li1069781185613">If neither <strong id="mrs_01_0794__b15143053154918">update</strong> nor <strong id="mrs_01_0794__b19501205518495">overwrite</strong> is used and the file to be copied already exists in the target location, the file will be skipped.</li><li id="mrs_01_0794__li998319417565">When <strong id="mrs_01_0794__b128161227105012">update</strong> is used, if the file to be copied already exists in the target location but the file content is different, the file content in the target location is updated.</li><li id="mrs_01_0794__li751105014719">When <strong id="mrs_01_0794__b17970193815912">overwrite</strong> is used, if the file to be copied already exists in the target location, the file in the target location is still overwritten.</li></ul>
+</div></div>
+</li><li id="mrs_01_0794__li251694918152">The following table describes other command options:
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0794__te8e9526e6a194fbaaae82c9ef3eac29c" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Other command options</caption><thead align="left"><tr id="mrs_01_0794__r86fb9b6d7172413ca889334e0b64da8e"><th align="left" class="cellrowborder" valign="top" width="30.080000000000002%" id="mcps1.3.4.2.5.1.2.3.1.1"><p id="mrs_01_0794__a706d40de42eb435eb92a47f3b03d32f3">Option</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="69.92%" id="mcps1.3.4.2.5.1.2.3.1.2"><p id="mrs_01_0794__a428e8878dc8c447da30f15d0824984c9"><strong id="mrs_01_0794__b16887047165419">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0794__r5b18ce7c641047428a3af9078d726920"><td class="cellrowborder" valign="top" width="30.080000000000002%" headers="mcps1.3.4.2.5.1.2.3.1.1 "><p id="mrs_01_0794__a480bafc889e3412fa38741ff1688ae87">-p[rbugpcaxtq]</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.92%" headers="mcps1.3.4.2.5.1.2.3.1.2 "><p id="mrs_01_0794__p729774019144">When <strong id="mrs_01_0794__b15777155465412">-update</strong> is also used, the status information of a copied file is updated even if the content of the copied file is not updated.</p>
+<p id="mrs_01_0794__p136411146175711"><strong id="mrs_01_0794__b1864144645716">r</strong>: number of copies</p>
+<p id="mrs_01_0794__p1931444865712"><strong id="mrs_01_0794__b2314194811570">b</strong>: size of a block</p>
+<p id="mrs_01_0794__p2867104995720"><strong id="mrs_01_0794__b108671749135717">u</strong>: user to which the files belong</p>
+<p id="mrs_01_0794__p17352105315718"><strong id="mrs_01_0794__b12352165355711">g</strong>: user group to which the user belongs</p>
+<p id="mrs_01_0794__p15941566577"><strong id="mrs_01_0794__b694205612571">p</strong>: permission</p>
+<p id="mrs_01_0794__p117611758185717"><strong id="mrs_01_0794__b177611558155713">c</strong>: check and type</p>
+<p id="mrs_01_0794__p18830190195817"><strong id="mrs_01_0794__b15830160105813">a</strong>: access control</p>
+<p id="mrs_01_0794__p1047420416588"><strong id="mrs_01_0794__b547414165814">t</strong>: timestamp</p>
+<p id="mrs_01_0794__p1638711241308"><strong id="mrs_01_0794__b1788545314567">q</strong>: quota information</p>
+</td>
+</tr>
+<tr id="mrs_01_0794__r0c3ebfe579f64409ae319329123dac63"><td class="cellrowborder" valign="top" width="30.080000000000002%" headers="mcps1.3.4.2.5.1.2.3.1.1 "><p id="mrs_01_0794__a242129ef11394dd7925150ea2d4998c3">-i</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.92%" headers="mcps1.3.4.2.5.1.2.3.1.2 "><p id="mrs_01_0794__p144309346427">Failures ignored during copying</p>
+</td>
+</tr>
+<tr id="mrs_01_0794__r28b7fbc9a3f241afa9dcb2567f0ce7d1"><td class="cellrowborder" valign="top" width="30.080000000000002%" headers="mcps1.3.4.2.5.1.2.3.1.1 "><p id="mrs_01_0794__a3429411a2ae348f1a3f9733924c74855">-log &lt;logdir&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.92%" headers="mcps1.3.4.2.5.1.2.3.1.2 "><p id="mrs_01_0794__aa63fb3d6ff374890a5ebc240ae9a438a">Path of the specified log</p>
+</td>
+</tr>
+<tr id="mrs_01_0794__r9aa69838aa474c329f7074b65c38f433"><td class="cellrowborder" valign="top" width="30.080000000000002%" headers="mcps1.3.4.2.5.1.2.3.1.1 "><p id="mrs_01_0794__ac3a56e3435ef45b899f05d6f33a5f0f0">-v</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.92%" headers="mcps1.3.4.2.5.1.2.3.1.2 "><p id="mrs_01_0794__a52e06ea33d44425a8e96c5fbd27c2706">Additional information in the specified log</p>
+</td>
+</tr>
+<tr id="mrs_01_0794__r8c9b807b44aa49778a079bda2f45c1db"><td class="cellrowborder" valign="top" width="30.080000000000002%" headers="mcps1.3.4.2.5.1.2.3.1.1 "><p id="mrs_01_0794__p999216223441">-m &lt;num_maps&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.92%" headers="mcps1.3.4.2.5.1.2.3.1.2 "><p id="mrs_01_0794__a7f0de4e9eeb14dfdbb70a56666e5a380">Maximum number of concurrent copy tasks that can be executed at the same time</p>
+</td>
+</tr>
+<tr id="mrs_01_0794__row688415165585"><td class="cellrowborder" valign="top" width="30.080000000000002%" headers="mcps1.3.4.2.5.1.2.3.1.1 "><p id="mrs_01_0794__p15884101655814">-numListstatusThreads</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.92%" headers="mcps1.3.4.2.5.1.2.3.1.2 "><p id="mrs_01_0794__p68841916115811">Number of threads for constituting the list of copied files. This option increases the running speed of DistCp.</p>
+</td>
+</tr>
+<tr id="mrs_01_0794__rfc7e6c467b004760ba274cb6034265f8"><td class="cellrowborder" valign="top" width="30.080000000000002%" headers="mcps1.3.4.2.5.1.2.3.1.1 "><p id="mrs_01_0794__aa2eda2895cfc41df8134452d39682ca7">-overwrite</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.92%" headers="mcps1.3.4.2.5.1.2.3.1.2 "><p id="mrs_01_0794__a1fad969b48fb4d79adfc54296e645d7d">File at the target location that is to be overwritten</p>
+</td>
+</tr>
+<tr id="mrs_01_0794__r35461f5fecce4c9c814a1e2f8f98da6b"><td class="cellrowborder" valign="top" width="30.080000000000002%" headers="mcps1.3.4.2.5.1.2.3.1.1 "><p id="mrs_01_0794__ac0777ae32aea459f902e0dfa0fbf2d2b">-update</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.92%" headers="mcps1.3.4.2.5.1.2.3.1.2 "><p id="mrs_01_0794__af7226af4cbdf465ca6bd832f133ee668">A file at the target location is updated if the size and check of a file at the source location are different from those of the file at the target location.</p>
+</td>
+</tr>
+<tr id="mrs_01_0794__r260833e490d54ccda5df108a605e4f52"><td class="cellrowborder" valign="top" width="30.080000000000002%" headers="mcps1.3.4.2.5.1.2.3.1.1 "><p id="mrs_01_0794__a12ccbce5c42742b6b95c7b460b999e5b">-append</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.92%" headers="mcps1.3.4.2.5.1.2.3.1.2 "><p id="mrs_01_0794__a48153fa5295c47ed88d7e3c1b7ac1fc3">When <strong id="mrs_01_0794__b491518442219">-update</strong> is also used, the content of the file at the source location is added to the file at the target location.</p>
+</td>
+</tr>
+<tr id="mrs_01_0794__r1ec0fd8b3dae46ed85433c708837a967"><td class="cellrowborder" valign="top" width="30.080000000000002%" headers="mcps1.3.4.2.5.1.2.3.1.1 "><p id="mrs_01_0794__aadf674d0efe54fb3960a673a49e9114b">-f &lt;urilist_uri&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.92%" headers="mcps1.3.4.2.5.1.2.3.1.2 "><p id="mrs_01_0794__a8a173172debf497e83385f312f8a34b1">Content of the <strong id="mrs_01_0794__b0395130571">&lt;urilist_uri&gt;</strong> file is used as the file list to be copied.</p>
+</td>
+</tr>
+<tr id="mrs_01_0794__rd030ccf4b0584c12b83f6e7a2a5bde89"><td class="cellrowborder" valign="top" width="30.080000000000002%" headers="mcps1.3.4.2.5.1.2.3.1.1 "><p id="mrs_01_0794__a7220d06cb06047f192faa3c654b5d29d">-filters</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.92%" headers="mcps1.3.4.2.5.1.2.3.1.2 "><p id="mrs_01_0794__adf4e42e9bb664b59a76edb077bddbf72">A local file is specified whose content contains multiple regular expressions. If the file to be copied matches a regular expression, the file is not copied.</p>
+</td>
+</tr>
+<tr id="mrs_01_0794__row182421450135818"><td class="cellrowborder" valign="top" width="30.080000000000002%" headers="mcps1.3.4.2.5.1.2.3.1.1 "><p id="mrs_01_0794__p0242175010585">-async</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.92%" headers="mcps1.3.4.2.5.1.2.3.1.2 "><p id="mrs_01_0794__p19242155011585">The <strong id="mrs_01_0794__b959422610113">distcp</strong> command is run asynchronously.</p>
+</td>
+</tr>
+<tr id="mrs_01_0794__row030265512586"><td class="cellrowborder" valign="top" width="30.080000000000002%" headers="mcps1.3.4.2.5.1.2.3.1.1 "><p id="mrs_01_0794__p1339126134">-atomic {-tmp &lt;tmp_dir&gt;}</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.92%" headers="mcps1.3.4.2.5.1.2.3.1.2 "><p id="mrs_01_0794__p1330215525815">An atomic copy can be performed. You can add a temporary directory during copying.</p>
+</td>
+</tr>
+<tr id="mrs_01_0794__row1122431195916"><td class="cellrowborder" valign="top" width="30.080000000000002%" headers="mcps1.3.4.2.5.1.2.3.1.1 "><p id="mrs_01_0794__p72246125913">-bandwidth</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.92%" headers="mcps1.3.4.2.5.1.2.3.1.2 "><p id="mrs_01_0794__p1322410120597">The transmission bandwidth of each copy task. Unit: MB/s.</p>
+</td>
+</tr>
+<tr id="mrs_01_0794__row670875205915"><td class="cellrowborder" valign="top" width="30.080000000000002%" headers="mcps1.3.4.2.5.1.2.3.1.1 "><p id="mrs_01_0794__p970875115911">-delete</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.92%" headers="mcps1.3.4.2.5.1.2.3.1.2 "><p id="mrs_01_0794__p1670816515593">The files that exist in the target location is deleted but do not exist in the source location. This option is usually used with <strong id="mrs_01_0794__b8989134315133">-update</strong>, and indicates that files at the source location are synchronized with those at the target location and the redundant files at the target location are deleted.</p>
+</td>
+</tr>
+<tr id="mrs_01_0794__row1850515915918"><td class="cellrowborder" valign="top" width="30.080000000000002%" headers="mcps1.3.4.2.5.1.2.3.1.1 "><p id="mrs_01_0794__p35051694595">-diff &lt;oldSnapshot&gt; &lt;newSnapshot&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.92%" headers="mcps1.3.4.2.5.1.2.3.1.2 "><p id="mrs_01_0794__p3505119115918">The differences between the old and new versions are copied to a file in the old version at the target location.</p>
+</td>
+</tr>
+<tr id="mrs_01_0794__row14590529317"><td class="cellrowborder" valign="top" width="30.080000000000002%" headers="mcps1.3.4.2.5.1.2.3.1.1 "><p id="mrs_01_0794__p15590729913">-skipcrccheck</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.92%" headers="mcps1.3.4.2.5.1.2.3.1.2 "><p id="mrs_01_0794__p135902291618">Whether to skip the cyclic redundancy check (CRC) between the source file and the target file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0794__row374034415"><td class="cellrowborder" valign="top" width="30.080000000000002%" headers="mcps1.3.4.2.5.1.2.3.1.1 "><p id="mrs_01_0794__p59921449111720">-strategy {dynamic|uniformsize}</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.92%" headers="mcps1.3.4.2.5.1.2.3.1.2 "><p id="mrs_01_0794__p18741341910">The policy for copying a task. The default policy is <strong id="mrs_01_0794__b10871146161610">uniformsize</strong>, that is, each copy task copies the same number of bytes.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ol>
+</div>
+<div class="section" id="mrs_01_0794__section29499362105048"><h4 class="sectiontitle">FAQs of DistCp</h4><ol id="mrs_01_0794__ol744197105431"><li id="mrs_01_0794__li15025511105431">When you run the DistCp command, if the content of some copied files is large, you are advised to change the timeout period of MapReduce that executes the copy task. It can be implemented by specifying the <strong id="mrs_01_0794__b514091424915">mapreduce.task.timeout</strong> in the DistCp command. For example, run the following command to change the timeout to 30 minutes:<pre class="screen" id="mrs_01_0794__screen720661703113">hadoop distcp -Dmapreduce.task.timeout=1800000 hdfs://cluster1/source hdfs://cluster2/target</pre>
+<p id="mrs_01_0794__p570125819494">Or, you can also use <strong id="mrs_01_0794__b798604252012">filters</strong> to exclude the large files out of the copy process. The command example is as follows:</p>
+<pre class="screen" id="mrs_01_0794__screen3701185874916">hadoop distcp -filters /opt/client/filterfile hdfs://cluster1/source hdfs://cluster2/target</pre>
+<p id="mrs_01_0794__p9701558204916">In the preceding command, <em id="mrs_01_0794__i94271457172013">filterfile</em> indicates a local file, which contains multiple expressions used to match the path of a file that is not copied. The following is an example:</p>
+<pre class="screen" id="mrs_01_0794__screen1770111583499">.*excludeFile1.*
+.*excludeFile2.*</pre>
+</li><li id="mrs_01_0794__li41575152105932">If the DistCp command unexpectedly quits, the error message "java.lang.OutOfMemoryError" is displayed.<p id="mrs_01_0794__p267795031718"><a name="mrs_01_0794__li41575152105932"></a><a name="li41575152105932"></a>This is because the memory required for running the copy command exceeds the preset memory limit (default value: 128 MB). You can change the memory upper limit of the client by modifying <span class="parmname" id="mrs_01_0794__parmname343303011723"><b>CLIENT_GC_OPTS</b></span> in <em id="mrs_01_0794__i2683123115914">&lt;Client installation path&gt;</em><strong id="mrs_01_0794__b1098183315222">/HDFS/component_env</strong>. For example, if you want to set the memory upper limit to 1 GB, refer to the following configuration:</p>
+<pre class="screen" id="mrs_01_0794__screen14993084173648">CLIENT_GC_OPTS="-Xmx1G"</pre>
+<p id="mrs_01_0794__p18677165061718">After the modification, run the following command to make the modification take effect:</p>
+<p id="mrs_01_0794__p44359303111033"><strong id="mrs_01_0794__b08971554172214">source </strong>{<em id="mrs_01_0794__i179021754162219">Client installation path</em>}<strong id="mrs_01_0794__b119023548227">/bigdata_env</strong></p>
+</li><li id="mrs_01_0794__li2486129153919">When the dynamic policy is used to run the DistCp command, the command exits unexpectedly and the error message "Too many chunks created with splitRatio" is displayed.<p id="mrs_01_0794__p742804114555"><a name="mrs_01_0794__li2486129153919"></a><a name="li2486129153919"></a>The cause of this problem is that the value of <span class="parmname" id="mrs_01_0794__parmname3428154175517"><b>distcp.dynamic.max.chunks.tolerable</b></span> (default value: 20,000) is less than the value of <span class="parmname" id="mrs_01_0794__parmname204281841185517"><b>distcp.dynamic.split.ratio</b></span> (default value: 2) multiplied by the number of Maps. This problem occurs when the number of Maps exceeds 10,000. You can use the <strong id="mrs_01_0794__b98121153122414">-m</strong> parameter to reduce the number of Maps to less than 10,000.</p>
+<pre class="screen" id="mrs_01_0794__screen158024065619">hadoop distcp -strategy dynamic -m 9500 hdfs://cluster1/source hdfs://cluster2/target</pre>
+<p id="mrs_01_0794__p1348662919392">Alternatively, you can use the <strong id="mrs_01_0794__b114779832517">-D</strong> parameter to set <span class="parmname" id="mrs_01_0794__parmname1964033525513"><b>distcp.dynamic.max.chunks.tolerable</b></span> to a large value.</p>
+<pre class="screen" id="mrs_01_0794__screen20138728564">hadoop distcp -Ddistcp.dynamic.max.chunks.tolerable=30000 -strategy dynamic hdfs://cluster1/source hdfs://cluster2/target</pre>
+</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
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+
+<h1 class="topictitle1">Overview of HDFS File System Directories</h1>
+<div id="body1590130531391"><p id="mrs_01_0795__p205767210275">This section describes the directory structure in HDFS, as shown in the following table.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0795__table41323024102735" frame="border" border="1" rules="all"><caption><b>Table 1 </b>HDFS directory structure (applicable to versions earlier than MRS 3.x)</caption><thead align="left"><tr id="mrs_01_0795__row3454690102735"><th align="left" class="cellrowborder" valign="top" width="16.161616161616163%" id="mcps1.3.2.2.6.1.1"><p id="mrs_01_0795__p35441715102735">Path</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="18.181818181818183%" id="mcps1.3.2.2.6.1.2"><p id="mrs_01_0795__p52206665102735">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="32.323232323232325%" id="mcps1.3.2.2.6.1.3"><p id="mrs_01_0795__p881443102735">Function</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="14.141414141414144%" id="mcps1.3.2.2.6.1.4"><p id="mrs_01_0795__p4288041102735">Whether the Directory Can Be Deleted</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="19.191919191919194%" id="mcps1.3.2.2.6.1.5"><p id="mrs_01_0795__p11787077102735">Deletion Consequence</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0795__row5050198102735"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p5671353110361">/tmp/spark/sparkhive-scratch</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p1516807110375">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p181452103835">Stores temporary files of metastore sessions in Spark JDBCServer.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p14697641103835">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p49658254103835">Failed to run the task.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row45034927102735"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p510402410361">/tmp/sparkhive-scratch</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p5167042810375">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p29189961103835">Stores temporary files of metastore session that are executed using Spark CLI.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p15576618103835">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p53746577103835">Failed to run the task.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row60336645102735"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p1471132610361">/tmp/carbon/</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p4522846010375">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p23491339103835">Stores the abnormal data in this directory if abnormal CarbonData data exists during data import.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p23750292103835">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p44725498103835">Error data is lost.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row30631584102735"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p65239238102735">/tmp/Loader-${<em id="mrs_01_0795__i1760852101212">Job name</em>}_${<em id="mrs_01_0795__i1625210567126">MR job ID</em>}</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p49886896102735">Temporary directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p41037636103848">Stores the region information about Loader HBase bulkload jobs. The data is automatically deleted after the job running is completed.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p35714225103848">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p7171131103848">Failed to run the Loader HBase Bulkload job.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row54094928103620"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p61717285103732">/tmp/logs</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p31788306103740">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p49154684103754">Stores the collected MR task logs.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p1211526510382">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p27213395103810">MR task logs are lost.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row50749790103620"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p28962273103732">/tmp/archived</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p21117029103740">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p64740227103754">Archives the MR task logs on HDFS.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p4076754910382">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p41450520103810">MR task logs are lost.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row58211485103626"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p41314235103732">/tmp/hadoop-yarn/staging</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p26384719103740">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p18094775103754">Stores the run logs, summary information, and configuration attributes of ApplicationMaster running jobs.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p5742545910382">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p18440759103810">Services are running improperly.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row51207185103626"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p53306244103732">/tmp/hadoop-yarn/staging/history/done_intermediate</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p41325242103740">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p37754258103754">Stores temporary files in the <strong id="mrs_01_0795__b51062835215">/tmp/hadoop-yarn/staging</strong> directory after all tasks are executed.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p5433786410382">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p21541116103810">MR task logs are lost.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row42972389103626"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p4219928103732">/tmp/hadoop-yarn/staging/history/done</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p61330392103740">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p8220504103754">The periodic scanning thread periodically moves the <strong id="mrs_01_0795__b485802010523">done_intermediate</strong> log file to the <strong id="mrs_01_0795__b181691226115218">done</strong> directory.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p1807338210382">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p67108344103810">MR task logs are lost.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row49513952103626"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p56429339103732">/tmp/mr-history</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p15353063103740">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p20058578103754">Stores the historical record files that are pre-loaded.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p2215827210382">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p66730184103810">Historical MR task log data is lost.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row12948313113620"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p112101192365">/tmp/hive</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p49481413183620">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p3948913103619">Stores Hive temporary files.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p13948613203612">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p1948131311364">Failed to run the Hive task.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row22832861103628"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p5108687010398">/tmp/hive-scratch</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p4439581910398">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p3929157210398">Stores temporary data (such as session information) generated during Hive running.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p2850076210398">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p2686035610398">Failed to run the current task.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row47276227103628"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p23599951103921">/user/{user}/.sparkStaging</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p32547918103921">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p19135734103921">Stores temporary files of the SparkJDBCServer application.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p6490606103921">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p55977054103921">Failed to start the executor.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row43887845103631"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p34789567103921">/user/spark/jars</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p66491539103921">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p17105608103921">Stores running dependency packages of the Spark executor.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p43377030103921">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p23878516103921">Failed to start the executor.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row64528750103631"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p15111923103948">/user/loader</p>
+</td>
+<td class="cellrowborder" rowspan="4" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p5608490310400">Fixed directory</p>
+</td>
+<td class="cellrowborder" rowspan="4" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p55975284104041">Stores dirty data of Loader jobs and data of HBase jobs.</p>
+</td>
+<td class="cellrowborder" rowspan="4" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p21189316104116">No</p>
+</td>
+<td class="cellrowborder" rowspan="4" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p45701427104133">Failed to execute the HBase job. Or dirty data is lost.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row29539482103631"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p10738366103948">/user/loader/etl_dirty_data_dir</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row15965651103632"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p43640636103948">/user/loader/etl_hbase_putlist_tmp</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row16687042103632"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p4422827103948">/user/loader/etl_hbase_tmp</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row8745562391"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p127468683912">/user/mapred</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p1746156163913">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p1074616183917">Stores Hadoop-related files.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p074617663915">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p8746761391">Failed to start Yarn.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row3798330103634"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p11777940104247">/user/hive</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p14489055104247">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p32762811104247">Stores Hive-related data by default, including the depended Spark lib package and default table data storage path.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p36542031104247">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p7114564104247">User data is lost.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row7878577103634"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p21440579104319">/user/omm-bulkload</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p58965333104319">Temporary directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p11462655104319">Stores HBase batch import tools temporarily.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p56059882104319">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p44556606104319">Failed to import HBase tasks in batches.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row42859462104254"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p1075633104319">/user/hbase</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p20017457104319">Temporary directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p10801301104319">Stores HBase batch import tools temporarily.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p2490182104319">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p378155104319">Failed to import HBase tasks in batches.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row6250852310432"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p48786357104332">/sparkJobHistory</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p59380849104332">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p45119461104332">Stores Spark event log data.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p30797754104332">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p11590168104332">The History Server service is unavailable, and the task fails to be executed.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row187645310434"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p35044075104343">/flume</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p19997788104343">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p9208126104343">Stores data collected by Flume from HDFS.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p7660728104343">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p16539251104343">Flume runs improperly.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row3003465610434"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p1957754104354">/mr-history/tmp</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p24360379104354">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p27033648104354">Stores logs generated by MapReduce jobs.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p42241857104354">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p66147288104354">Log information is lost.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row783937710436"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p37208624104354">/mr-history/done</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p61108544104354">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p50845041104354">Stores logs managed by MR JobHistory Server.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p24807658104354">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p63263316104354">Log information is lost.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row87104110436"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p15168401104354">/tenant</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p20680939104354">Created when a tenant is added.</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p64543345104354">Directory of a tenant in the HDFS. By default, the system automatically creates a folder in the <strong id="mrs_01_0795__b428011281764">/tenant</strong> directory based on the tenant name. For example, the default HDFS storage directory for <strong id="mrs_01_0795__b142441139865">ta1</strong> is <strong id="mrs_01_0795__b412812461067">tenant/ta1</strong>. When a tenant is created for the first time, the system creates the <strong id="mrs_01_0795__b7711855266">/tenant</strong> directory in the HDFS root directory. You can customize the storage path.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p60628493104354">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p11960868104354">The tenant account is unavailable.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row28481638104410"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p49789199104437">/apps{1~5}/</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p6393339104437">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p48098484104437">Stores the Hive package used by WebHCat.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p3663137104437">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p28278699104437">Failed to run the WebHCat tasks.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row151567104414"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p11170506104446">/hbase</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p32395806104446">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p6814593104446">Stores HBase data.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p15111198104446">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p16047515104446">HBase user data is lost.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row13115701162249"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p7020128162256">/hbaseFileStream</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p18556264162249">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p26662390162249">Stores HFS files.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p12169948162249">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p34496153162816">The HFS file is lost and cannot be restored.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row6719174024317"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p13720164016433">/ats/active</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p77201440184312">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p137205409437">HDFS path used to store the timeline data of running applications.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p372094024316">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p1072010407438">Failed to run the <strong id="mrs_01_0795__b213911125114">tez</strong> task after the directory deletion.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row1469018493436"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p26901449184311">/ats/done</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p869012492435">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p15690174974310">HDFS path used to store the timeline data of completed applications.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p12690449174319">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p136901449134310">Automatically created after the deletion.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row11860741203017"><td class="cellrowborder" valign="top" width="16.161616161616163%" headers="mcps1.3.2.2.6.1.1 "><p id="mrs_01_0795__p28617412309">/flink</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.181818181818183%" headers="mcps1.3.2.2.6.1.2 "><p id="mrs_01_0795__p17861341153019">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.323232323232325%" headers="mcps1.3.2.2.6.1.3 "><p id="mrs_01_0795__p1686264133014">Stores the checkpoint task data.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.141414141414144%" headers="mcps1.3.2.2.6.1.4 "><p id="mrs_01_0795__p138621441163011">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.191919191919194%" headers="mcps1.3.2.2.6.1.5 "><p id="mrs_01_0795__p986213419300">Failed to run tasks after the deletion.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0795__table979635174419" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Directory structure of the HDFS file system (applicable to MRS 3.x or later)</caption><thead align="left"><tr id="mrs_01_0795__row13797256441"><th align="left" class="cellrowborder" valign="top" width="19%" id="mcps1.3.3.2.6.1.1"><p id="mrs_01_0795__p379713510443">Path</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="16%" id="mcps1.3.3.2.6.1.2"><p id="mrs_01_0795__p1279795124417">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33%" id="mcps1.3.3.2.6.1.3"><p id="mrs_01_0795__p97973544414">Function</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="13%" id="mcps1.3.3.2.6.1.4"><p id="mrs_01_0795__p8797205184418">Whether the Directory Can Be Deleted</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="19%" id="mcps1.3.3.2.6.1.5"><p id="mrs_01_0795__p1797855443">Deletion Consequence</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0795__row679711554413"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p1179775114418">/tmp/spark2x/sparkhive-scratch</p>
+</td>
+<td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0795__p47979517444">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0795__p07978519448">Stores temporary files of metastore session in Spark2x JDBCServer.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0795__p16797105134417">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0795__p147971854447">Failed to run the task.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row5797257447"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p879719511447">/tmp/sparkhive-scratch</p>
+</td>
+<td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0795__p57976516442">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0795__p18797145114414">Stores temporary files of metastore sessions that are executed in CLI mode using Spark2x CLI.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0795__p67971458445">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0795__p47979554410">Failed to run the task.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row34511355102735"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p2984634110361">/tmp/logs/</p>
+</td>
+<td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0795__p1966998110375">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0795__p56786945103835">Stores container log files.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0795__p36339809103835">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0795__p57843426103835">Container log files cannot be viewed.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row57981251440"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p5798195194412">/tmp/carbon/</p>
+</td>
+<td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0795__p579845144417">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0795__p1379815544414">Stores the abnormal data in this directory if abnormal CarbonData data exists during data import.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0795__p197987534410">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0795__p779810594416">Error data is lost.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row679815510446"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p1279812518449">/tmp/Loader-${<em id="mrs_01_0795__i76784821">Job name</em>}_${<em id="mrs_01_0795__i2066485714">MR job ID</em>}</p>
+</td>
+<td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0795__p179885174414">Temporary directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0795__p2079820520449">Stores the region information about Loader HBase bulkload jobs. The data is automatically deleted after the job running is completed.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0795__p1779819574419">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0795__p127981952443">Failed to run the Loader HBase Bulkload job.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row2798115184410"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p87981353444">/tmp/hadoop-omm/yarn/system/rmstore</p>
+</td>
+<td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0795__p20798458441">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0795__p1798185164414">Stores the ResourceManager running information.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0795__p1479817512442">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0795__p1479810564420">Status information is lost after ResourceManager is restarted.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row779865184413"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p19798159445">/tmp/archived</p>
+</td>
+<td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0795__p1798145164418">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0795__p379815574413">Archives the MR task logs on HDFS.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0795__p1879813519444">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0795__p379810544411">MR task logs are lost.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row7798195204411"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p1079835144412">/tmp/hadoop-yarn/staging</p>
+</td>
+<td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0795__p679911574418">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0795__p37991459443">Stores the run logs, summary information, and configuration attributes of ApplicationMaster running jobs.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0795__p177996518441">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0795__p18799450444">Services are running improperly.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row1779995144417"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p5799195134410">/tmp/hadoop-yarn/staging/history/done_intermediate</p>
+</td>
+<td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0795__p1479919516446">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0795__p1779912544417">Stores temporary files in the <strong id="mrs_01_0795__b314728319">/tmp/hadoop-yarn/staging</strong> directory after all tasks are executed.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0795__p14799135164411">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0795__p1479916574415">MR task logs are lost.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row97990564412"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p379915144415">/tmp/hadoop-yarn/staging/history/done</p>
+</td>
+<td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0795__p117997519442">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0795__p127994512442">The periodic scanning thread periodically moves the <strong id="mrs_01_0795__b1309851812">done_intermediate</strong> log file to the <strong id="mrs_01_0795__b834006484">done</strong> directory.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0795__p4799853445">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0795__p9799250449">MR task logs are lost.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row879915584416"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p379913510448">/tmp/mr-history</p>
+</td>
+<td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0795__p1979912520446">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0795__p19799155124416">Stores the historical record files that are pre-loaded.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0795__p14799756441">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0795__p2799175194414">Historical MR task log data is lost.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row18799165154418"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p198001754442">/tmp/hive-scratch</p>
+</td>
+<td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0795__p16800454445">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0795__p5800135134413">Stores temporary data (such as session information) generated during Hive running.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0795__p1580016512440">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0795__p1780014512444">Failed to run the current task.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row12800553443"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p28002516443">/user/{user}/.sparkStaging</p>
+</td>
+<td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0795__p580017512443">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0795__p1480035114420">Stores temporary files of the SparkJDBCServer application.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0795__p680012534416">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0795__p7800135154420">Failed to start the executor.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row1280045124418"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p19800185184412">/user/spark2x/jars</p>
+</td>
+<td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0795__p9800115154410">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0795__p1880012511443">Stores running dependency packages of the Spark2x executor.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0795__p280015514444">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0795__p680011517448">Failed to start the executor.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row20800115154417"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p15800145184419">/user/loader</p>
+</td>
+<td class="cellrowborder" rowspan="4" valign="top" width="16%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0795__p9800158445">Fixed directory</p>
+</td>
+<td class="cellrowborder" rowspan="4" valign="top" width="33%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0795__p1800156447">Stores dirty data of Loader jobs and data of HBase jobs.</p>
+</td>
+<td class="cellrowborder" rowspan="4" valign="top" width="13%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0795__p1180010544417">No</p>
+</td>
+<td class="cellrowborder" rowspan="4" valign="top" width="19%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0795__p180015144411">Failed to execute the HBase job. Or dirty data is lost.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row58003564418"><td class="cellrowborder" valign="top" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p58001851445">/user/loader/etl_dirty_data_dir</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row98013514442"><td class="cellrowborder" valign="top" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p1780116534414">/user/loader/etl_hbase_putlist_tmp</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row1480145174419"><td class="cellrowborder" valign="top" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p18011255447">/user/loader/etl_hbase_tmp</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row1680135154419"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p8801155204413">/user/oozie</p>
+</td>
+<td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0795__p48016514442">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0795__p1580116524412">Stores dependent libraries required for Oozie running, which needs to be manually uploaded.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0795__p5801155154411">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0795__p138013544418">Failed to schedule Oozie.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row39229331103634"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p1924024710427">/user/mapred/hadoop-mapreduce-<em id="mrs_01_0795__i138483297534">3.1.1</em>.tar.gz</p>
+</td>
+<td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0795__p1495621310427">Fixed files</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0795__p349375110427">Stores JAR files used by the distributed MR cache.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0795__p1455843810427">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0795__p3838282510427">The MR distributed cache function is unavailable.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row1380117514410"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p88011955448">/user/hive</p>
+</td>
+<td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0795__p188018554418">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0795__p148015510449">Stores Hive-related data by default, including the depended Spark lib package and default table data storage path.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0795__p14801155144415">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0795__p19801135174417">User data is lost.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row19801145144410"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p980111544413">/user/omm-bulkload</p>
+</td>
+<td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0795__p680195144412">Temporary directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0795__p158021352449">Stores HBase batch import tools temporarily.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0795__p9802559448">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0795__p28021659443">Failed to import HBase tasks in batches.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row1280213544414"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p1180225154410">/user/hbase</p>
+</td>
+<td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0795__p12802155144414">Temporary directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0795__p780215517442">Stores HBase batch import tools temporarily.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0795__p78021544412">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0795__p1080215512440">Failed to import HBase tasks in batches.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row680219511447"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p188021050446">/spark2xJobHistory2x</p>
+</td>
+<td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0795__p108028524414">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0795__p1080235104418">Stores Spark2x eventlog data.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0795__p9802352445">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0795__p138024554414">The History Server service is unavailable, and the task fails to be executed.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row1380275194411"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p5802157441">/flume</p>
+</td>
+<td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0795__p18023554414">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0795__p138021357448">Stores data collected by Flume from HDFS.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0795__p980245204413">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0795__p58027544415">Flume runs improperly.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row4802554440"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p580265184413">/mr-history/tmp</p>
+</td>
+<td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0795__p2802135184417">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0795__p1380312512440">Stores logs generated by MapReduce jobs.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0795__p2080317518442">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0795__p11803153443">Log information is lost.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row88032519446"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p180312510448">/mr-history/done</p>
+</td>
+<td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0795__p88031154444">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0795__p148032511444">Stores logs managed by MR JobHistory Server.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0795__p68035511445">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0795__p38037512449">Log information is lost.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row980314594420"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p8803454443">/tenant</p>
+</td>
+<td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0795__p2803195184414">Created when a tenant is added.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0795__p580311512444">Directory of a tenant in the HDFS. By default, the system automatically creates a folder in the <strong id="mrs_01_0795__b587071165">/tenant</strong> directory based on the tenant name. For example, the default HDFS storage directory for <strong id="mrs_01_0795__b1350715364">ta1</strong> is <strong id="mrs_01_0795__b735249972">tenant/ta1</strong>. When a tenant is created for the first time, the system creates the <strong id="mrs_01_0795__b1608693843">/tenant</strong> directory in the HDFS root directory. You can customize the storage path.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0795__p168039512446">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0795__p188034520443">The tenant account is unavailable.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row7803185134418"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p380314513442">/apps{1~5}/</p>
+</td>
+<td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0795__p1180417544414">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0795__p7804145194419">Stores the Hive package used by WebHCat.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0795__p18047517448">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0795__p5804145124412">Failed to run the WebHCat tasks.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row280485124411"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p2080445134420">/hbase</p>
+</td>
+<td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0795__p158041652442">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0795__p7804155114411">Stores HBase data.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0795__p48043554414">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0795__p3804175134415">HBase user data is lost.</p>
+</td>
+</tr>
+<tr id="mrs_01_0795__row158040514416"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.1 "><p id="mrs_01_0795__p1380417594413">/hbaseFileStream</p>
+</td>
+<td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.3.2.6.1.2 "><p id="mrs_01_0795__p480445124418">Fixed directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.6.1.3 "><p id="mrs_01_0795__p180411504412">Stores HFS files.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.3.2.6.1.4 "><p id="mrs_01_0795__p1780445114414">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.3.2.6.1.5 "><p id="mrs_01_0795__p2804155194415">The HFS file is lost and cannot be restored.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0797.html b/docs/mrs/component-operation-guide/mrs_01_0797.html
new file mode 100644
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+<a name="mrs_01_0797"></a><a name="mrs_01_0797"></a>
+
+<h1 class="topictitle1">Configuring HDFS Directory Permission</h1>
+<div id="body1590130532441"><div class="section" id="mrs_01_0797__s926c579fe1384b1083423933384fd908"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0797__a277b352383a642e8847529d4d747cbae">The permission for some HDFS directories is <strong id="mrs_01_0797__b154035169212">777</strong> or <strong id="mrs_01_0797__b84521518172111">750</strong> by default, which brings potential security risks. You are advised to modify the permission for the HDFS directories after the HDFS is installed to increase user security.</p>
+</div>
+<div class="section" id="mrs_01_0797__s57b69cece1474688b28c11108f534a4a"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_0797__a0b00636c8f2a402eb3b1c9afa4bd935b">Log in to the HDFS client as the administrator and run the following command to modify the permission for the <span class="filepath" id="mrs_01_0797__filepath1179118595567"><b>/user</b></span> directory.</p>
+</div>
+<p id="mrs_01_0797__a42e6cb20fff74aef8cab704e89ff0db8">The permission is set to <strong id="mrs_01_0797__b10194115952319">1777</strong>, that is, <strong id="mrs_01_0797__b550916117249">1</strong> is added to the original permission. This indicates that only the user who creates the directory can delete it.</p>
+<p id="mrs_01_0797__a139740c70cb94d66a177b1e776522bca"><strong id="mrs_01_0797__a8feb31fccdae4a9c9eb039ff18229d94">hdfs dfs -chmod 1777 </strong><em id="mrs_01_0797__a8675a4a5fc504c71a1bf3ae15bd8603d">/<em id="mrs_01_0797__i12482175995120">user</em></em></p>
+<p id="mrs_01_0797__a25be1d0d3cb24b948c024ab4ea2b9d0d">To ensure security of the system file, you are advised to harden the security for non-temporary directories. The following directories are examples:</p>
+<ul id="mrs_01_0797__u43e43c8802c24fb6a2e643d9a94382a7"><li id="mrs_01_0797__l9d2fbb937af2496d968ebd4756963b5d">/user:777</li><li id="mrs_01_0797__l80dc102307bd4c2f9eb5f3a9d22c8cc5">/mr-history:777</li><li id="mrs_01_0797__l23565630e7e04add831dd216202f1429">/mr-history/tmp:777</li><li id="mrs_01_0797__l3272e1ab4a6e47fe87cd425586993bb9">/mr-history/done:777</li><li id="mrs_01_0797__l89ad89f7e3874a1db07ddaef4d60ea57">/user/mapred:755</li></ul>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0799.html b/docs/mrs/component-operation-guide/mrs_01_0799.html
new file mode 100644
index 000000000..8199a1d5e
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+<a name="mrs_01_0799"></a><a name="mrs_01_0799"></a>
+
+<h1 class="topictitle1">Planning HDFS Capacity</h1>
+<div id="body1590130532716"><p id="mrs_01_0799__a78e45657376f44beac98b13790eb8a2b">In HDFS, DataNode stores user files and directories as blocks, and file objects are generated on the NameNode to map each file, directory, and block on the DataNode.</p>
+<p id="mrs_01_0799__a61db6901e6434a23aa48cf39150410d6">The file objects on the NameNode require certain memory capacity. The memory consumption linearly increases as more file objects generated. The number of file objects on the NameNode increases and the objects consume more memory when the files and directories stored on the DataNode increase. In this case, the existing hardware may not meet the service requirement and the cluster is difficult to be scaled out.</p>
+<p id="mrs_01_0799__a140bcb889722498da96aae84104a8262">Capacity planning of the HDFS that stores a large number of files is to plan the capacity specifications of the NameNode and DataNode and to set parameters according to the capacity plans.</p>
+<div class="section" id="mrs_01_0799__sc8dd3ca1ae6f45308cc9d97f885c2305"><h4 class="sectiontitle">Capacity Specifications</h4><ul id="mrs_01_0799__uc120e2e811404bb7a971fc2ef26c5e1a"><li id="mrs_01_0799__laa4e290db8b646b98123a72f5b27de29">NameNode capacity specifications <p id="mrs_01_0799__aa2c95c9068d843cf993258a14513ff16"><a name="mrs_01_0799__laa4e290db8b646b98123a72f5b27de29"></a><a name="laa4e290db8b646b98123a72f5b27de29"></a>Each file object on the NameNode corresponds to a file, directory, or block on the DataNode.</p>
+<p id="mrs_01_0799__ae8ce55e15b5741b586cd1a3ec3c657b6">A file uses at least one block. The default size of a block is <strong id="mrs_01_0799__b32131790369">134,217,728</strong>, that is, 128 MB, which can be set in the <strong id="mrs_01_0799__b14911929153618">dfs.blocksize</strong> parameter. By default, a file whose size is less than 128 MB occupies only one block. If the file size is greater than 128 MB, the number of occupied blocks is the file size divided by 128 MB (Number of occupied blocks = File size/128). The directories do not occupy any blocks.</p>
+<div class="p" id="mrs_01_0799__aa323baf81d3742a689a3785caeb01850">Based on <strong id="mrs_01_0799__b7781154123710">dfs.blocksize</strong>, the number of file objects on the NameNode is calculated as follows:
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0799__t6d6b4dcfa0994313a4296d9d13123e63" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Number of NameNode file objects</caption><thead align="left"><tr id="mrs_01_0799__r93c37ac2a08b498fb04791718a003278"><th align="left" class="cellrowborder" valign="top" width="34.4%" id="mcps1.3.4.2.1.3.2.2.3.1.1"><p id="mrs_01_0799__ae949a160e11643bc9ac2ae4ff21d49ab">Size of a File</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="65.60000000000001%" id="mcps1.3.4.2.1.3.2.2.3.1.2"><p id="mrs_01_0799__ad4bbfa4fea744d2dba73d0a31188a640">Number of File Objects</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0799__r698a244c563942e0ad2f0e65cb47a6e0"><td class="cellrowborder" valign="top" width="34.4%" headers="mcps1.3.4.2.1.3.2.2.3.1.1 "><p id="mrs_01_0799__a9a1686a2309e4645a85d1c11080c1786">&lt; 128 MB</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.60000000000001%" headers="mcps1.3.4.2.1.3.2.2.3.1.2 "><p id="mrs_01_0799__aef92d8f61dd244f184e7132504e3b4b4">1 (File) + 1 (Block) = 2</p>
+</td>
+</tr>
+<tr id="mrs_01_0799__ra03418556ce84253a8e0c5b637222713"><td class="cellrowborder" valign="top" width="34.4%" headers="mcps1.3.4.2.1.3.2.2.3.1.1 "><p id="mrs_01_0799__a90b8603867b345509e71e2ada4d46b02">&gt; 128 MB (for example, 128 GB)</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.60000000000001%" headers="mcps1.3.4.2.1.3.2.2.3.1.2 "><p id="mrs_01_0799__aba153afd061c4669817c4b4128d6686f">1 (File) + 1,024 (128 GB/128 MB = 1,024 blocks) = 1,025</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<p id="mrs_01_0799__abc4e19bbe9a847809a87405b45568ccd">The maximum number of file objects supported by the active and standby NameNodes is 300,000,000 (equivalent to 150,000,000 small files). <strong id="mrs_01_0799__b3437114184212">dfs.namenode.max.objects</strong> specifies the number of file objects that can be generated in the system. The default value is <strong id="mrs_01_0799__b819132620422">0</strong>, which indicates that the number of generated file objects is not limited.</p>
+</li><li id="mrs_01_0799__l60d0c114f708418ab59a05117707358a">DataNode capacity specifications<p id="mrs_01_0799__a9bb2171e142e4dc6b41626cc817a1014"><a name="mrs_01_0799__l60d0c114f708418ab59a05117707358a"></a><a name="l60d0c114f708418ab59a05117707358a"></a>In HDFS, blocks are stored on the DataNode as copies. The default number of copies is <strong id="mrs_01_0799__b13345184438">3</strong>, which can be set in the <strong id="mrs_01_0799__b69840215437">dfs.replication</strong> parameter.</p>
+<p id="mrs_01_0799__a141580b8bcf3494dbc83f0506ea51327">The number of blocks stored on all DataNode role instances in the cluster can be calculated based on the following formula: Number of HDFS blocks x 3 Average number of saved blocks = Number of HDFS blocks x 3/Number of DataNodes</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0799__t6c1c7dd6659a4d4581db9848e493b294" frame="border" border="1" rules="all"><caption><b>Table 2 </b>DataNode specifications</caption><thead align="left"><tr id="mrs_01_0799__r82190e2f5e5047aeb9c4f85961c8a8da"><th align="left" class="cellrowborder" valign="top" width="55.83%" id="mcps1.3.4.2.2.3.2.3.1.1"><p id="mrs_01_0799__a44e4aea58ff048d58885a5acf8ed5780">Item</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="44.17%" id="mcps1.3.4.2.2.3.2.3.1.2"><p id="mrs_01_0799__ab9b3fc6eba61415f9d557054527ca0be">Specifications</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0799__rb96dbf3acadd40e795c4164bea28f618"><td class="cellrowborder" valign="top" width="55.83%" headers="mcps1.3.4.2.2.3.2.3.1.1 "><p id="mrs_01_0799__a04be15a19b6d4bae96273ecd2662b2cc">Maximum number of blocks supported by a DataNode instance</p>
+</td>
+<td class="cellrowborder" valign="top" width="44.17%" headers="mcps1.3.4.2.2.3.2.3.1.2 "><p id="mrs_01_0799__ae119d9f0f2734c05be55f841315cd68c">5,000,000</p>
+</td>
+</tr>
+<tr id="mrs_01_0799__rcf7a9b90196f454db3c9e5aa36cdb355"><td class="cellrowborder" valign="top" width="55.83%" headers="mcps1.3.4.2.2.3.2.3.1.1 "><p id="mrs_01_0799__a9ecf280e6b95479f84f16a94a7a6f0a1">Maximum number of blocks supported by a disk on a DataNode instance</p>
+</td>
+<td class="cellrowborder" valign="top" width="44.17%" headers="mcps1.3.4.2.2.3.2.3.1.2 "><p id="mrs_01_0799__aebdef039e6ed487bb896ceec7bf070c6">500,000</p>
+</td>
+</tr>
+<tr id="mrs_01_0799__ra3071e1ebdf14847946c6dd914d891ad"><td class="cellrowborder" valign="top" width="55.83%" headers="mcps1.3.4.2.2.3.2.3.1.1 "><p id="mrs_01_0799__a3c5eb86fdbcc4efc9045a328472af6c6">Minimum number of disks required when the number of blocks supported by a DataNode instance reaches the maximum </p>
+</td>
+<td class="cellrowborder" valign="top" width="44.17%" headers="mcps1.3.4.2.2.3.2.3.1.2 "><p id="mrs_01_0799__a7903995fad6149c2a2049baea4e0cb3a">10</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0799__t51aa964d07d14712aa3cdb2d18fdc795" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Number of DataNodes</caption><thead align="left"><tr id="mrs_01_0799__r46e41d642df0422fac4d3015265865fc"><th align="left" class="cellrowborder" valign="top" width="43.419999999999995%" id="mcps1.3.4.2.2.4.2.3.1.1"><p id="mrs_01_0799__ab65896870b8d46138e1c999893232813">Number of HDFS Blocks</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="56.58%" id="mcps1.3.4.2.2.4.2.3.1.2"><p id="mrs_01_0799__a13e97ae6c9dc4f99a7288aac37c78075">Minimum Number of DataNode Roles</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0799__r3f9f48aaa5d44079a47c6fe0d3d20152"><td class="cellrowborder" valign="top" width="43.419999999999995%" headers="mcps1.3.4.2.2.4.2.3.1.1 "><p id="mrs_01_0799__a0050f94e528d45ee8b1c7ec5d6b7116a">10,000,000</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.58%" headers="mcps1.3.4.2.2.4.2.3.1.2 "><p id="mrs_01_0799__af0be30d7fc164b19bb12d0ce92dbfd34">10,000,000 *3/5,000,000 = 6</p>
+</td>
+</tr>
+<tr id="mrs_01_0799__r948a4fc415b644d1b6cab329b73f1271"><td class="cellrowborder" valign="top" width="43.419999999999995%" headers="mcps1.3.4.2.2.4.2.3.1.1 "><p id="mrs_01_0799__a9fe5b361cc5342c496ef695befa3a07c">50,000,000</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.58%" headers="mcps1.3.4.2.2.4.2.3.1.2 "><p id="mrs_01_0799__a19215f386e2d4b9ebb8fa68ce3f1b0ea">50,000,000 *3/5,000,000 = 30</p>
+</td>
+</tr>
+<tr id="mrs_01_0799__r9d2fe9c628934212914b443d0ce64143"><td class="cellrowborder" valign="top" width="43.419999999999995%" headers="mcps1.3.4.2.2.4.2.3.1.1 "><p id="mrs_01_0799__a1910c5132d64479990c2d846e4c15197">100,000,000</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.58%" headers="mcps1.3.4.2.2.4.2.3.1.2 "><p id="mrs_01_0799__a69b3685a42b347afbdd240ae259466c1">100,000,000 *3/5,000,000 = 60</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_0799__scd3607ea70834b8496b1d35c7083a843"><h4 class="sectiontitle">Setting Memory Parameters</h4><ul id="mrs_01_0799__ub452b09592bc4afaa4d0097cb68e7733"><li id="mrs_01_0799__l11686bdef61d47668f9b5d70cbebb03b">Configuration rules of the NameNode JVM parameter<p id="mrs_01_0799__a912f7bc55bd44dc7af294ec1977d06db"><a name="mrs_01_0799__l11686bdef61d47668f9b5d70cbebb03b"></a><a name="l11686bdef61d47668f9b5d70cbebb03b"></a>Default value of the NameNode JVM parameter <strong id="mrs_01_0799__b86921419114814">GC_OPTS</strong>: </p>
+<p id="mrs_01_0799__p1279145241818">-Xms2G -Xmx4G -XX:NewSize=128M -XX:MaxNewSize=256M -XX:MetaspaceSize=128M -XX:MaxMetaspaceSize=128M -XX:+UseConcMarkSweepGC -XX:+CMSParallelRemarkEnabled -XX:CMSInitiatingOccupancyFraction=65 -XX:+PrintGCDetails -Dsun.rmi.dgc.client.gcInterval=0x7FFFFFFFFFFFFFE -Dsun.rmi.dgc.server.gcInterval=0x7FFFFFFFFFFFFFE -XX:-OmitStackTraceInFastThrow -XX:+PrintGCDateStamps -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=10 -XX:GCLogFileSize=1M -Djdk.tls.ephemeralDHKeySize=3072 -Djdk.tls.rejectClientInitiatedRenegotiation=true -Djava.io.tmpdir=${Bigdata_tmp_dir}</p>
+<div class="p" id="mrs_01_0799__a2616701d47ea48779f0bc5a4f1d88df4">The number of NameNode files is proportional to the used memory size of the NameNode. When file objects change, you need to change <strong id="mrs_01_0799__b1571114574481">-Xms2G -Xmx4G -XX:NewSize=128M --XX:MaxNewSize=256M</strong> in the default value. The following table lists the reference values. 
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0799__te26cc4df625545418ac6cc0a8f9f88f0" frame="border" border="1" rules="all"><caption><b>Table 4 </b>NameNode JVM configuration</caption><thead align="left"><tr id="mrs_01_0799__r12696e3d9eac47308ab8ceeeabaf9d60"><th align="left" class="cellrowborder" valign="top" width="28.01%" id="mcps1.3.5.2.1.3.2.2.3.1.1"><p id="mrs_01_0799__a1d09de0bdefa473fb5bbe44fa938dd42">Number of File Objects</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="71.99%" id="mcps1.3.5.2.1.3.2.2.3.1.2"><p id="mrs_01_0799__a3cda0d608a9342f1a59ffca91ccb43fb">Reference Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0799__rf83d3e2a613f4411b06455ba3d050a91"><td class="cellrowborder" valign="top" width="28.01%" headers="mcps1.3.5.2.1.3.2.2.3.1.1 "><p id="mrs_01_0799__a698a4c1bac0e47a39311c4d3eab22de6">10,000,000</p>
+</td>
+<td class="cellrowborder" valign="top" width="71.99%" headers="mcps1.3.5.2.1.3.2.2.3.1.2 "><p id="mrs_01_0799__ae013dee8e5c249b589373d1f0d623955">-Xms6G -Xmx6G -XX:NewSize=512M  -XX:MaxNewSize=512M</p>
+</td>
+</tr>
+<tr id="mrs_01_0799__r71dd137d8340469b9d6cfa56bad12a4f"><td class="cellrowborder" valign="top" width="28.01%" headers="mcps1.3.5.2.1.3.2.2.3.1.1 "><p id="mrs_01_0799__a068a2ba0b8aa4d6d83a392de11a0c207">20,000,000</p>
+</td>
+<td class="cellrowborder" valign="top" width="71.99%" headers="mcps1.3.5.2.1.3.2.2.3.1.2 "><p id="mrs_01_0799__a702b804579e84bd490aae5a79da4302f">-Xms12G -Xmx12G -XX:NewSize=1G  -XX:MaxNewSize=1G</p>
+</td>
+</tr>
+<tr id="mrs_01_0799__racee4c018a9f4a729de4be081d5da2c7"><td class="cellrowborder" valign="top" width="28.01%" headers="mcps1.3.5.2.1.3.2.2.3.1.1 "><p id="mrs_01_0799__afbb0ed490b2d406583d777e01adad1f0">50,000,000</p>
+</td>
+<td class="cellrowborder" valign="top" width="71.99%" headers="mcps1.3.5.2.1.3.2.2.3.1.2 "><p id="mrs_01_0799__a9f14dacaf1354a21919d6791d891e970">-Xms32G -Xmx32G -XX:NewSize=3G  -XX:MaxNewSize=3G</p>
+</td>
+</tr>
+<tr id="mrs_01_0799__r39bfe2109be84e2bb1757f212f3c7361"><td class="cellrowborder" valign="top" width="28.01%" headers="mcps1.3.5.2.1.3.2.2.3.1.1 "><p id="mrs_01_0799__a03cfef126810415795047cb2bbc7b216">100,000,000</p>
+</td>
+<td class="cellrowborder" valign="top" width="71.99%" headers="mcps1.3.5.2.1.3.2.2.3.1.2 "><p id="mrs_01_0799__a61d1ccadcb8a4b738f933413bd59a772">-Xms64G -Xmx64G -XX:NewSize=6G  -XX:MaxNewSize=6G</p>
+</td>
+</tr>
+<tr id="mrs_01_0799__r3ee104e2dbe84dd6b2aea0a70d6fb067"><td class="cellrowborder" valign="top" width="28.01%" headers="mcps1.3.5.2.1.3.2.2.3.1.1 "><p id="mrs_01_0799__a795cdaa74df54d38aeb6f1317a72d62a">200,000,000</p>
+</td>
+<td class="cellrowborder" valign="top" width="71.99%" headers="mcps1.3.5.2.1.3.2.2.3.1.2 "><p id="mrs_01_0799__aeb30301f03f549c7b5f56ce86b23a410">-Xms96G -Xmx96G -XX:NewSize=9G  -XX:MaxNewSize=9G</p>
+</td>
+</tr>
+<tr id="mrs_01_0799__r439309a2fb8c4f19a60122d992e22e77"><td class="cellrowborder" valign="top" width="28.01%" headers="mcps1.3.5.2.1.3.2.2.3.1.1 "><p id="mrs_01_0799__ad0738c3e97f14db9a3a72023f45e6c59">300,000,000</p>
+</td>
+<td class="cellrowborder" valign="top" width="71.99%" headers="mcps1.3.5.2.1.3.2.2.3.1.2 "><p id="mrs_01_0799__ab31506428f634ad58ac748c65df24232">-Xms164G -Xmx164G -XX:NewSize=12G  -XX:MaxNewSize=12G</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</li></ul>
+<ul id="mrs_01_0799__uc2d6eed069644d1586585cb49c07e7e8"><li id="mrs_01_0799__l124d264e571145f297a4819c47da23f9">Configuration rules of the DataNode JVM parameter<p id="mrs_01_0799__a37bf1ed1126f4e43a4894e2e5072886d"><a name="mrs_01_0799__l124d264e571145f297a4819c47da23f9"></a><a name="l124d264e571145f297a4819c47da23f9"></a>Default value of the DataNode JVM parameter <strong id="mrs_01_0799__b496261175110">GC_OPTS</strong>: </p>
+<p id="mrs_01_0799__p172211247121910">-Xms2G -Xmx4G -XX:NewSize=128M -XX:MaxNewSize=256M -XX:MetaspaceSize=128M -XX:MaxMetaspaceSize=128M -XX:+UseConcMarkSweepGC -XX:+CMSParallelRemarkEnabled -XX:CMSInitiatingOccupancyFraction=65 -XX:+PrintGCDetails -Dsun.rmi.dgc.client.gcInterval=0x7FFFFFFFFFFFFFE -Dsun.rmi.dgc.server.gcInterval=0x7FFFFFFFFFFFFFE -XX:-OmitStackTraceInFastThrow -XX:+PrintGCDateStamps -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=10 -XX:GCLogFileSize=1M -Djdk.tls.ephemeralDHKeySize=3072 -Djdk.tls.rejectClientInitiatedRenegotiation=true -Djava.io.tmpdir=${Bigdata_tmp_dir}</p>
+<p id="mrs_01_0799__ae45046f416574593bab3e1e7c29b634a">The average number of blocks stored in each DataNode instance in the cluster is: Number of HDFS blocks x 3/Number of DataNodes. If the average number of blocks changes, you need to change <strong id="mrs_01_0799__b1499310301101">-Xms2G -Xmx4G -XX:NewSize=128M -XX:MaxNewSize=256M</strong> in the default value. The following table lists the reference values.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0799__td322224489704ac6a8d18c21146d6686" frame="border" border="1" rules="all"><caption><b>Table 5 </b>DataNode JVM configuration</caption><thead align="left"><tr id="mrs_01_0799__r5fc0d03f19d54d1082a536369f32ab95"><th align="left" class="cellrowborder" valign="top" width="42.29%" id="mcps1.3.5.3.1.4.2.3.1.1"><p id="mrs_01_0799__a55dc1e45920f45a4b1fadbcc65df9c71">Average Number of Blocks in a DataNode Instance</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="57.709999999999994%" id="mcps1.3.5.3.1.4.2.3.1.2"><p id="mrs_01_0799__a6dca2c4d47794c5eb0adffb5d0324682">Reference Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0799__r00929d1b71584e8e8f30505a9e2872b3"><td class="cellrowborder" valign="top" width="42.29%" headers="mcps1.3.5.3.1.4.2.3.1.1 "><p id="mrs_01_0799__a416aecf87e5e458c996f243204ef02ff">2,000,000</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.709999999999994%" headers="mcps1.3.5.3.1.4.2.3.1.2 "><p id="mrs_01_0799__a3d30bc343740499aaaee64ad55b721e9">-Xms6G -Xmx6G -XX:NewSize=512M -XX:MaxNewSize=512M</p>
+</td>
+</tr>
+<tr id="mrs_01_0799__r0e83ba2dd9ed4f1695730d71f1457c24"><td class="cellrowborder" valign="top" width="42.29%" headers="mcps1.3.5.3.1.4.2.3.1.1 "><p id="mrs_01_0799__a67fbb2a910984d69b4b8d77a94c40c8d">5,000,000</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.709999999999994%" headers="mcps1.3.5.3.1.4.2.3.1.2 "><p id="mrs_01_0799__a692858cc5d8746d1b0136271ef662183">-Xms12G -Xmx12G -XX:NewSize=1G -XX:MaxNewSize=1G</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_0799__p2063804341310"><strong id="mrs_01_0799__b11482105425420">Xmx</strong> specifies memory which corresponds to the threshold of the number of DataNode blocks, and each GB memory supports a maximum of 500,000 DataNode blocks. Set the memory as required.</p>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_0799__s4846afdaaf204f25b444d5f5405ddca7"><h4 class="sectiontitle">Viewing the HDFS Capacity Status</h4><ul id="mrs_01_0799__ud9a87044a5f7470ca850f964f6893676"><li id="mrs_01_0799__lb11c7d3b1964405aaa3aa6139431c069">NameNode information<p id="mrs_01_0799__p1856245413499"><a name="mrs_01_0799__lb11c7d3b1964405aaa3aa6139431c069"></a><a name="lb11c7d3b1964405aaa3aa6139431c069"></a>For MRS 1.9.2 or earlier: Log in to MRS Manager and choose <strong id="mrs_01_0799__b8751551184616">Services</strong> &gt; <strong id="mrs_01_0799__b282151144610">HDFS</strong> &gt; <strong id="mrs_01_0799__b78313516462">NameNode (Active)</strong>. Click <strong id="mrs_01_0799__b984175164620">Overview</strong> and check the number of file objects, files, directories, or blocks in the HDFS in <strong id="mrs_01_0799__b148515164615">Summary</strong>.</p>
+<p id="mrs_01_0799__p128504560114">For versions earlier than MRS 3.<em id="mrs_01_0799__i144711271441">x</em>: Log in to the MRS console, and choose <strong id="mrs_01_0799__b447717720441">Components</strong> &gt; <strong id="mrs_01_0799__b144782704412">HDFS</strong> &gt; <strong id="mrs_01_0799__b747847104416">NameNode (Active)</strong>. Click <strong id="mrs_01_0799__b184788714413">Overview</strong> and check the number of file objects, files, directories, or blocks in the HDFS in <strong id="mrs_01_0799__b1847897124414">Summary</strong>.</p>
+<p id="mrs_01_0799__p785017561012">For MRS 3.<em id="mrs_01_0799__i1965527174411">x</em> or later: Log in to FusionInsight Manager, choose <strong id="mrs_01_0799__b1171172715449">Cluster</strong> &gt; <em id="mrs_01_0799__i17711327124412">Name of the desired cluster</em> &gt; <strong id="mrs_01_0799__b1672102744418">Services</strong> &gt; <strong id="mrs_01_0799__b972127174418">HDFS</strong> &gt; <strong id="mrs_01_0799__b2721627204420">NameNode(Active)</strong>, and click <strong id="mrs_01_0799__b12731427104417">Overview</strong> to view information like the number of file objects, files, directories, and blocks in HDFS in <strong id="mrs_01_0799__b10733279442">Summary</strong> area.</p>
+</li><li id="mrs_01_0799__le25c009ed7d94bbf804791b935081090">DataNode information<p id="mrs_01_0799__p1128054017617"><a name="mrs_01_0799__le25c009ed7d94bbf804791b935081090"></a><a name="le25c009ed7d94bbf804791b935081090"></a>For MRS 1.9.2 or earlier: Log in to MRS Manager and choose <strong id="mrs_01_0799__b21517201353">Services</strong> &gt; <strong id="mrs_01_0799__b181592010351">HDFS</strong> &gt; <strong id="mrs_01_0799__b31602023519">NameNode (Active)</strong>. Click <strong id="mrs_01_0799__b416182018357">DataNodes</strong> and check the number of blocks of all DataNodes that report alarms.</p>
+<p id="mrs_01_0799__a7b195bb3dde04aeb91ad50ef8c59c698">For versions earlier than MRS 3.<em id="mrs_01_0799__i1998534712447">x</em>: Log in to the MRS console and choose <strong id="mrs_01_0799__b17992204712444">Components</strong> &gt; <strong id="mrs_01_0799__b4992174774413">HDFS</strong> &gt; <strong id="mrs_01_0799__b1899364714416">NameNode (Active)</strong>. Click <strong id="mrs_01_0799__b1199354716448">DataNodes</strong> and check the number of blocks of all DataNodes that report alarms.</p>
+<p id="mrs_01_0799__p893211211176">For MRS 3.<em id="mrs_01_0799__i576691419474">x </em> or later: Log in to FusionInsight Manager, choose <strong id="mrs_01_0799__b87762146473">Cluster</strong> &gt; <em id="mrs_01_0799__i8778121424718">Name of the desired cluster</em> &gt; <strong id="mrs_01_0799__b1780814164716">Services</strong> &gt; <strong id="mrs_01_0799__b77811414124719">HDFS</strong> &gt; <strong id="mrs_01_0799__b1878316144471">NameNode(Active)</strong>, and click <strong id="mrs_01_0799__b197851014164719">DataNodes</strong> to view the number of blocks on all DataNodes that report alarms.</p>
+</li><li id="mrs_01_0799__laf5b2e54d44040e19e2ca4f8089b7217">Alarm information<p id="mrs_01_0799__a675c5eebcc244355b612896ca2a4d92d"><a name="mrs_01_0799__laf5b2e54d44040e19e2ca4f8089b7217"></a><a name="laf5b2e54d44040e19e2ca4f8089b7217"></a>Check whether the alarms whose IDs are 14007, 14008, and 14009 are generated and change the alarm thresholds as required.</p>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0801.html b/docs/mrs/component-operation-guide/mrs_01_0801.html
new file mode 100644
index 000000000..929562b55
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0801.html
@@ -0,0 +1,27 @@
+<a name="mrs_01_0801"></a><a name="mrs_01_0801"></a>
+
+<h1 class="topictitle1">Configuring ulimit for HBase and HDFS</h1>
+<div id="body1590130533104"><div class="section" id="mrs_01_0801__s74264ff283cd4c788a81b59703b879b5"><h4 class="sectiontitle">Symptom</h4><p id="mrs_01_0801__af0cebea866e741ae97ae3c03723d1dee">When you open an HDFS file, an error occurs due to the limit on the number of file handles. Information similar to the following is displayed.</p>
+<pre class="screen" id="mrs_01_0801__s6521cae9a035404f9ebf2d40fa0f73e2">IOException (Too many open files)</pre>
+</div>
+<div class="section" id="mrs_01_0801__sf6092be34e7c4fd0a0dda0ef1fafa6b1"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_0801__ae221cbba40ee4d7eafc49cc7c35c0c64">You can contact the <span id="mrs_01_0801__ph179218753813">system </span>administrator to add file handles for each user. This is a configuration on the OS instead of HBase or HDFS. It is recommended that the <span id="mrs_01_0801__ph134281414143816">system </span>administrator configure the number of file handles based on the service traffic of HBase and HDFS and the rights of each user. If a user performs a large number of operations frequently on the HDFS that has large service traffic, set the number of file handles of this user to a large value.</p>
+<ol id="mrs_01_0801__ofc08ed481bb14eb4be168a2609016d48"><li id="mrs_01_0801__lbfffda03c4e24d0e9c0884a82aaaeb78"><span>Log in to the OSs of all nodes or clients in the cluster as user <strong id="mrs_01_0801__a34d3ac2ba558477cbaed4b04af821b00">root</strong>, and go to the <strong id="mrs_01_0801__ac74931459ed54dbba053f3d2b29c4a88">/etc/security</strong> directory.</span></li><li id="mrs_01_0801__l3b265649cc0e49a8bbef63a057638b77"><span>Run the following command to edit the <strong id="mrs_01_0801__a9cae7c32b08840828d62dfcda9efb2cf">limits.conf</strong> file:</span><p><p id="mrs_01_0801__a8d3fda1b39af4e978cbb462b22757a73"><strong id="mrs_01_0801__a771c3e7cb5f74b568846520993171d10">vi limits.conf</strong></p>
+<p id="mrs_01_0801__a720e186eae184c7c8bfe20ad171b60ab">Add the following information to the file.</p>
+<pre class="screen" id="mrs_01_0801__s4cd9eede626f433cbc435838aa7d1e83">hdfs  -       nofile  32768 
+hbase -       nofile  32768</pre>
+<p id="mrs_01_0801__a75766ba52ec0458e99f1f857f4b1a73c"><strong id="mrs_01_0801__a37fd47986e80429082a42ff859dd8dc6">hdfs</strong> and <strong id="mrs_01_0801__ae4f407a2a8a1426ca37ace6f40167acd">hbase</strong> indicate the usernames of the OSs that are used during the services.</p>
+<div class="note" id="mrs_01_0801__nb93dfaab21c74987a54c534891d1676c"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0801__u530224c047bc489ab8f3df2a4edddb89"><li id="mrs_01_0801__l611b2b19d5c24bda9f47923ac1191b60">Only user <strong id="mrs_01_0801__ae116a351ef6745afbe51be49bb3128ba">root</strong> has the rights to edit the <strong id="mrs_01_0801__a6d2e37a5ccc04b06945960cce2c34481">limits.conf</strong> file.</li><li id="mrs_01_0801__l47a04b6c4a1e4ecdb816b99027095246">If this modification does not take effect, check whether other nofile values exist in the <strong id="mrs_01_0801__a8e8d9f9da403479d9d1743ce1cfd3f8f">/etc/security/limits.d</strong> directory. Such values may overwrite the values set in the <strong id="mrs_01_0801__a01450443528b43ae9cb44fac41830ec6">/etc/security/limits.conf</strong> file.</li><li id="mrs_01_0801__l3eabe1cd7d2140988e1d752c08705efd">If a user needs to perform operations on HBase, set the number of file handles of this user to a value greater than <strong id="mrs_01_0801__adf8ff80f2878414a8e2107532bf6eabd">10000</strong>. If a user needs to perform operations on HDFS, set the number of file handles of this user based on the service traffic. It is recommended that the value not be too small. If a user needs to perform operations on both HBase and HDFS, set the number of file handles of this user to a large value, such as <strong id="mrs_01_0801__adc4461d526e345278aaac8f8aa13ed6e">32768</strong>.</li></ul>
+</div></div>
+</p></li><li id="mrs_01_0801__l1346d24b541a4b1daa8b6131ac5cd8b4"><span>Run the following command to check the limit on the number of file handles of a user:</span><p><p id="mrs_01_0801__a247757c8e3a1418ca2ebd2cc96ebf8de"><strong id="mrs_01_0801__a0db22cf388fc497694979476589b17b0">su - </strong><em id="mrs_01_0801__ac87b6fc1600946f48bf04a47fc751723">user_name</em></p>
+<p id="mrs_01_0801__a44f6a5dd6a7744418b75abbd4c2db6a4"><strong id="mrs_01_0801__ad78aef72446f4c25a86b655c929ef84f">ulimit -n</strong></p>
+<p id="mrs_01_0801__aebefb8fa9d53422c99b4000ff12b9b80">The limit on the number of file handles of this user is displayed as follows.</p>
+<pre class="screen" id="mrs_01_0801__s2f03183435a54512a7de48eeb5313854">8194</pre>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0804.html b/docs/mrs/component-operation-guide/mrs_01_0804.html
new file mode 100644
index 000000000..4daf26cb8
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0804.html
@@ -0,0 +1,25 @@
+<a name="mrs_01_0804"></a><a name="mrs_01_0804"></a>
+
+<h1 class="topictitle1">Configuring Replica Replacement Policy for Heterogeneous Capacity Among DataNodes</h1>
+<div id="body1590130534712"><div class="section" id="mrs_01_0804__s86e6d1aae058425fac2ceb887313780b"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0804__p49195873103329">By default, NameNode randomly selects a DataNode to write files. If the disk capacity of some DataNodes in a cluster is inconsistent (the total disk capacity of some nodes is large and of some nodes is small), the nodes with small disk capacity will be fully written. To resolve this problem, change the default disk selection policy for data written to DataNode to the available space block policy. This policy increases the probability of writing data blocks to the node with large available disk space. This ensures that the node usage is balanced when disk capacity of DataNodes is inconsistent.</p>
+</div>
+<div class="section" id="mrs_01_0804__s96b8a9dc800a44b7b35e3a2d8fafa0e1"><h4 class="sectiontitle">Impact on the System</h4><div class="p" id="mrs_01_0804__p5246612095326">The disk selection policy is changed to <strong id="mrs_01_0804__b67413416171">org.apache.hadoop.hdfs.server.blockmanagement.AvailableSpaceBlockPlacementPolicy</strong>. It is proven that the HDFS file write performance optimizes by 3% after the modification.<div class="note" id="mrs_01_0804__note7836357173355"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0804__p4146743617340"><strong id="mrs_01_0804__b19498104718199">The default replica storage policy of the NameNode is as follows:</strong></p>
+<ol id="mrs_01_0804__ol1936182612619"><li id="mrs_01_0804__li63692620265">First replica: stored on the node where the client resides.</li><li id="mrs_01_0804__li163617269264">Second replica: stored on DataNodes of the remote rack.</li><li id="mrs_01_0804__li736152611265">Third replica: stored on different nodes of the same rack for the node where the client resides.</li></ol>
+<p id="mrs_01_0804__p956583717340">If there are more replicas, randomly store them on other DataNodes.</p>
+<p id="mrs_01_0804__p3663534817340">The replica selection mechanism (<strong id="mrs_01_0804__b1852033620569">org.apache.hadoop.hdfs.server.blockmanagement.AvailableSpaceBlockPlacementPolicy</strong>) is as follows:</p>
+<ol id="mrs_01_0804__ol1469283252610"><li id="mrs_01_0804__li146924327268">First replica: stored on the DataNode where the client resides (the same as the default storage policy).</li><li id="mrs_01_0804__li16474203617265">Second replica:<ul id="mrs_01_0804__ul528217909633"><li id="mrs_01_0804__li424579999633">When selecting a storage node, select two data nodes that meet the requirements.</li><li id="mrs_01_0804__li651520029633">Compare the disk usages of the two DataNodes. If the difference is smaller than 5%, store the replicas to the first node.</li><li id="mrs_01_0804__li107639729633">If the difference exceeds 5%, there is a 60% probability (specified by <strong id="mrs_01_0804__b1310991985715">dfs.namenode.available-space-block-placement-policy.balanced-space-preference-fraction</strong> and default value is <strong id="mrs_01_0804__b15442027185711">0.6</strong>) that the replica is written to the node whose disk space usage is low.</li></ul>
+</li><li id="mrs_01_0804__li527014474264">As for the storage of the third replica and subsequent replicas, refer to that of the second replica.</li></ol>
+</div></div>
+</div>
+</div>
+<div class="section" id="mrs_01_0804__section61612656103230"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_0804__p66859957104149">The total disk capacity deviation of DataNodes in the cluster cannot exceed 100%.</p>
+</div>
+<div class="section" id="mrs_01_0804__section3481282712334"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0804__ol4487999312334"><li id="mrs_01_0804__li522917301273"><span>Go to the <strong id="mrs_01_0804__b2016012537912">All Configurations</strong> page of HDFS by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</span></li><li id="mrs_01_0804__li5777766414299"><span>Modify the disk selection policy parameters when HDFS writes data. Search for the <strong id="mrs_01_0804__b898112218591">dfs.block.replicator.classname</strong> parameter and change its value to <strong id="mrs_01_0804__b16330132916599">org.apache.hadoop.hdfs.server.blockmanagement.AvailableSpaceBlockPlacementPolicy</strong>.</span></li><li id="mrs_01_0804__li1485794410319"><span>Save the modified configuration. Restart the expired service or instance for the configuration to take effect.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0805.html b/docs/mrs/component-operation-guide/mrs_01_0805.html
new file mode 100644
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@@ -0,0 +1,37 @@
+<a name="mrs_01_0805"></a><a name="mrs_01_0805"></a>
+
+<h1 class="topictitle1">Configuring the Number of Files in a Single HDFS Directory </h1>
+<div id="body1590130534714"><div class="section" id="mrs_01_0805__section37652976172719"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0805__p1473263292323">Generally, multiple services are deployed in a cluster, and the storage of most services depends on the HDFS file system. Different components such as Spark and Yarn or clients are constantly writing files to the same HDFS directory when the cluster is running. However, the number of files in a single directory in HDFS is limited. Users must plan to prevent excessive files in a single directory and task failure.</p>
+<p id="mrs_01_0805__p28559559165643">You can set the number of files in a single directory using the <span class="parmname" id="mrs_01_0805__parmname1929322192336"><b>dfs.namenode.fs-limits.max-directory-items</b></span> parameter in HDFS. </p>
+</div>
+<div class="section" id="mrs_01_0805__section56786474172755"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0805__ol14718031172843"><li id="mrs_01_0805__li12695852161413"><span>Go to the <strong id="mrs_01_0805__b188533301109">All Configurations</strong> page of HDFS by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</span></li><li id="mrs_01_0805__li12273486172843"><span>Search for the configuration item <span class="parmname" id="mrs_01_0805__parmname1399152411411"><b>dfs.namenode.fs-limits.max-directory-items</b></span>.</span><p>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0805__table28710145174948" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0805__row34676457174948"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.2.2.2.1.2.4.1.1"><p id="mrs_01_0805__p46204700174948">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.2.2.2.1.2.4.1.2"><p id="mrs_01_0805__p51593219174948">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.2.2.2.1.2.4.1.3"><p id="mrs_01_0805__p18301202174948">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0805__row30493097174948"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.2.2.2.1.2.4.1.1 "><p id="mrs_01_0805__p30677622175237">dfs.namenode.fs-limits.max-directory-items</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.2.2.2.1.2.4.1.2 "><p id="mrs_01_0805__p360698679294">Maximum number of items in a directory</p>
+<p id="mrs_01_0805__p13687076174948">Value range: 1 to 6,400,000</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.2.2.2.1.2.4.1.3 "><p id="mrs_01_0805__p34911332174948">1048576</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_0805__li23283829175725"><span>Set the maximum number of files that can be stored in a single HDFS directory. Save the modified configuration. Restart the expired service or instance for the configuration to take effect.</span><p><div class="note" id="mrs_01_0805__note3366184318256"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0805__p3452113418256">Plan data storage in advance based on time and service type categories to prevent excessive files in a single directory. You are advised to use the default value, which is about 1 million pieces of data in a single directory.</p>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0806.html b/docs/mrs/component-operation-guide/mrs_01_0806.html
new file mode 100644
index 000000000..d65952a5d
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+<a name="mrs_01_0806"></a><a name="mrs_01_0806"></a>
+
+<h1 class="topictitle1">Configuring the Recycle Bin Mechanism</h1>
+<div id="body1590130535010"><div class="section" id="mrs_01_0806__sfa448ccbf49c4bd29a853b39fec722c5"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0806__a80a96788fb264f4d9d4c06e0d19414cb">On HDFS, deleted files are moved to the recycle bin (trash can) so that the data deleted by mistake can be restored.</p>
+<p id="mrs_01_0806__a9c5aa1ec791c417ba7c3bafbc4aa654c">You can set the time threshold for storing files in the recycle bin. Once the file storage duration exceeds the threshold, it is permanently deleted from the recycle bin. If the recycle bin is cleared, all files in the recycle bin are permanently deleted.</p>
+</div>
+<div class="section" id="mrs_01_0806__s18aed4d88c864649b70de52639d5a2ed"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_0806__a6bb3e0c8bf8b4976a5e6891d1ea665af">If a file is deleted from HDFS, the file is saved in the trash space rather than cleared immediately. After the aging time is due, the deleted file becomes an aging file and will be cleared based on the system mechanism or manually cleared by users.</p>
+<p id="mrs_01_0806__a9457f74fb2c24ad89454091372f8aded"><strong id="mrs_01_0806__b12359775812">Parameter portal:</strong></p>
+<p id="mrs_01_0806__p20478340125911">Go to the <strong id="mrs_01_0806__b94121447101015">All Configurations</strong> page of HDFS and enter a parameter name in the search box by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0806__t71d65ccd0eef4a44b510363ca38af328" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0806__r0bf97fd3bdb34f12850c30ba8d15955e"><th align="left" class="cellrowborder" valign="top" width="24.169999999999998%" id="mcps1.3.2.5.2.4.1.1"><p id="mrs_01_0806__a0d6a86a451f944abb56c91feabc34cef"><strong id="mrs_01_0806__b174282681020">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="60.099999999999994%" id="mcps1.3.2.5.2.4.1.2"><p id="mrs_01_0806__a6eecf6a877ba42e29d5142f2cb74cbeb"><strong id="mrs_01_0806__b96521911111010">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.73%" id="mcps1.3.2.5.2.4.1.3"><p id="mrs_01_0806__a5c85db5dc6174c94b646458d39c8b1a3"><strong id="mrs_01_0806__b1489310129109">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0806__r8fec317da2af4f949ce80fd33e4a3503"><td class="cellrowborder" valign="top" width="24.169999999999998%" headers="mcps1.3.2.5.2.4.1.1 "><p id="mrs_01_0806__a2f7fccf295364e08b5081720504edfb1">fs.trash.interval</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.099999999999994%" headers="mcps1.3.2.5.2.4.1.2 "><p id="mrs_01_0806__p11785111217183">Trash collection time, in minutes. If data in the trash station exceeds the time, the data will be deleted. Value range: 1440 to 259200</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.73%" headers="mcps1.3.2.5.2.4.1.3 "><p id="mrs_01_0806__p1827764295811">1440</p>
+</td>
+</tr>
+<tr id="mrs_01_0806__r092ce413d4aa4b8eb5d98a75bbf7c191"><td class="cellrowborder" valign="top" width="24.169999999999998%" headers="mcps1.3.2.5.2.4.1.1 "><p id="mrs_01_0806__a7eb4e9282fcc4236baff68c31a590908">fs.trash.checkpoint.interval</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.099999999999994%" headers="mcps1.3.2.5.2.4.1.2 "><p id="mrs_01_0806__a7eb4c71e8aab44579a318b266c22c6d1">Interval between trash checkpoints, in minutes. The value must be less than or equal to the value of <strong id="mrs_01_0806__b4774165211">fs.trash.interval</strong>. The checkpoint program creates a checkpoint every time it runs and removes the checkpoint created <strong id="mrs_01_0806__b92722175315">fs.trash.interval</strong> minutes ago. For example, the system checks whether aging files exist every 10 minutes and deletes aging files if any. Files that are not aging are stored in the checkpoint list waiting for the next check.</p>
+<p id="mrs_01_0806__aad88792dc1cc4709a768f2eacb7feb76">If this parameter is set to 0, the system does not check aging files and all aging files are saved in the system.</p>
+<p id="mrs_01_0806__aab7c47b3fde54e71bbf333e7febe3004">Value range: 0 to <i><span class="varname" id="mrs_01_0806__v1eb7c4d5210b49d4ab606defd388c0ee">fs.trash.interval</span></i></p>
+<div class="note" id="mrs_01_0806__nb2cae14f28b144599432ce674104f3ab"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0806__a1b06001163a54c9f9dff218d366240cd">It is not recommended to set this parameter to 0 because aging files will use up the disk space of the cluster.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="15.73%" headers="mcps1.3.2.5.2.4.1.3 "><p id="mrs_01_0806__abe69c4186a8d4a5cb572507f35c62cf0">60</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0807.html b/docs/mrs/component-operation-guide/mrs_01_0807.html
new file mode 100644
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+<a name="mrs_01_0807"></a><a name="mrs_01_0807"></a>
+
+<h1 class="topictitle1">Setting Permissions on Files and Directories</h1>
+<div id="body1590130535012"><div class="section" id="mrs_01_0807__sffe745e6f7f24a98bd09a580a06723c7"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0807__a0b32bdec6f604dc9a62c0cde7b141135">HDFS allows users to modify the default permissions of files and directories. The default mask provided by the HDFS for creating file and directory permissions is <span class="parmvalue" id="mrs_01_0807__p19054d59026f4a9ebca243934ff57a22"><b>022</b></span>. If you have special requirements for the default permissions, you can set configuration items to change the default permissions.</p>
+</div>
+<div class="section" id="mrs_01_0807__sbf67498b4b6f488db132d300a825948b"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_0807__a902e603d2a2d40569ef9958a06710f3a"><strong id="mrs_01_0807__b97121730201311">Parameter portal:</strong></p>
+<p id="mrs_01_0807__p20478340125911">Go to the <strong id="mrs_01_0807__b4347202112114">All Configurations</strong> page of HDFS and enter a parameter name in the search box by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0807__t6d89da911f4944b6895df6a20100cb87" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0807__r6fd2bb1421d146d98c4a82725f603986"><th align="left" class="cellrowborder" valign="top" width="28.13%" id="mcps1.3.2.4.2.4.1.1"><p id="mrs_01_0807__a55f91aa6d65e49e7a98a6cdd50db2793"><strong id="mrs_01_0807__b836716447133">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="56.14%" id="mcps1.3.2.4.2.4.1.2"><p id="mrs_01_0807__a6a564bed3a8e4e38acb4d7f8feca175c"><strong id="mrs_01_0807__b9320164511319">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.73%" id="mcps1.3.2.4.2.4.1.3"><p id="mrs_01_0807__a18327cca14894a7dade7691a7a2dd321"><strong id="mrs_01_0807__b1347146141313">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0807__r26c45325e61c4ab5be9d7752c8e8a521"><td class="cellrowborder" valign="top" width="28.13%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_0807__a587789be90a34a5ea3eb0147175b1041">fs.permissions.umask-mode</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.14%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_0807__a3312aa5044d74c6684b31a9ca3c0650f">This <strong id="mrs_01_0807__b386591101412">umask</strong> value (user mask) is used when the user creates files and directories in the HDFS on the clients. This parameter is similar to the file permission mask on Linux.</p>
+<p id="mrs_01_0807__a28af51b138ed44d4aef0948dac02364d">The parameter value can be in octal or in symbolic, for example, <span class="parmvalue" id="mrs_01_0807__parmvalue3765142411611"><b>022</b></span> (octal, the same as <strong id="mrs_01_0807__b27721424111618">u=rwx,g=r-x,o=r-x</strong> in symbolic), or <span class="parmvalue" id="mrs_01_0807__parmvalue18772102491620"><b>u=rwx,g=rwx,o=</b></span> (symbolic, the same as <span class="parmvalue" id="mrs_01_0807__parmvalue577215246166"><b>007</b></span> in octal).</p>
+<div class="note" id="mrs_01_0807__ndeb15adafb9842ee851dfba8c49be808"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0807__aadf26a8a1b0d4391bad338c0d5c615d8">The octal mask is opposite to the actual permission value. You are advised to use the symbol notation to make the description clearer.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="15.73%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_0807__a3bb648ffba664563afb748a9f1a5dfe6">022</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0808.html b/docs/mrs/component-operation-guide/mrs_01_0808.html
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index 000000000..8f926d09a
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+++ b/docs/mrs/component-operation-guide/mrs_01_0808.html
@@ -0,0 +1,41 @@
+<a name="mrs_01_0808"></a><a name="mrs_01_0808"></a>
+
+<h1 class="topictitle1">Setting the Maximum Lifetime and Renewal Interval of a Token</h1>
+<div id="body1590130535014"><div class="section" id="mrs_01_0808__s31094180f9134214a748d9ca53bc160b"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0808__a628e5433a26e41dc8685ce3efabc8445">In security mode, users can flexibly set the maximum token lifetime and token renewal interval in HDFS based on cluster requirements.</p>
+</div>
+<div class="section" id="mrs_01_0808__s197701de33064592934bc47670ae9664"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_0808__a0c73d78fe5574d97bf4eb0d94c049a7e"><strong id="mrs_01_0808__b199945382353">Navigation path for setting parameters:</strong></p>
+<p id="mrs_01_0808__p39519895015">Go to the <strong id="mrs_01_0808__b17198154451116">All Configurations</strong> page of HDFS and enter a parameter name in the search box by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0808__tb95a3819257e4c7e89f55c9a8cd3bcda" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0808__rd0d1bf7aab3a4cbbb33c83f7529bed99"><th align="left" class="cellrowborder" valign="top" width="28.13%" id="mcps1.3.2.4.2.4.1.1"><p id="mrs_01_0808__a022e7bd4976641ae86b2bd7e4b11a292"><strong id="mrs_01_0808__b14420102317192">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="56.14%" id="mcps1.3.2.4.2.4.1.2"><p id="mrs_01_0808__a78a77f3837894245993a9cfa3b85544f"><strong id="mrs_01_0808__b98841724131917">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.73%" id="mcps1.3.2.4.2.4.1.3"><p id="mrs_01_0808__a36691cdc40684a428012b9afb61e8640"><strong id="mrs_01_0808__b71491826191918">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0808__r01e08ed271054fa0a01aa3df6529bac1"><td class="cellrowborder" valign="top" width="28.13%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_0808__a50d53b79f4d544b0bd20b758e4358bb8">dfs.namenode.delegation.token.max-lifetime</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.14%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_0808__ab8e02842a1dc4b988e2226433a7c1dc9">This parameter is a server parameter. It specifies the maximum lifetime of a token. Unit: milliseconds. Value range: 10,000 to 10,000,000,000,000</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.73%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_0808__add85f2bde17f44d29350e8af6d0b5d45">604,800,000</p>
+</td>
+</tr>
+<tr id="mrs_01_0808__r24e3e6433bcf4d3ebaea5c6bf866e43a"><td class="cellrowborder" valign="top" width="28.13%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_0808__a57d74d47e6ad45a79e748876483f7dbb">dfs.namenode.delegation.token.renew-interval</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.14%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_0808__a113b039991384c1f89b1bbdd118c3cc2">This parameter is a server parameter. It specifies the maximum lifetime to renew a token. Unit: milliseconds. Value range: 10,000 to 10,000,000,000,000</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.73%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_0808__a43b2f82745ac43feae5c0642d1a00816">86,400,000</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0810.html b/docs/mrs/component-operation-guide/mrs_01_0810.html
new file mode 100644
index 000000000..48c30df76
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@@ -0,0 +1,40 @@
+<a name="mrs_01_0810"></a><a name="mrs_01_0810"></a>
+
+<h1 class="topictitle1">Configuring Encrypted Channels</h1>
+<div id="body1590130535017"><div class="section" id="mrs_01_0810__s525d629a40ee48faaf2b6075c9cfc60b"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0810__a28d3cf08440143e4a3182e05db49dea6">Encrypted channel is an encryption protocol of remote procedure call (RPC) in HDFS. When a user invokes RPC, the user's login name will be transmitted to RPC through RPC head. Then RPC uses Simple Authentication and Security Layer (SASL) to determine an authorization protocol (Kerberos and DIGEST-MD5) to complete RPC authorization. When users deploy security clusters, they need to use encrypted channels and configure the following parameters. For details about the secure Hadoop RPC, visit <a href="https://hadoop.apache.org/docs/r3.1.1/hadoop-project-dist/hadoop-common/SecureMode.html#Data_Encryption_on_RPC" target="_blank" rel="noopener noreferrer">https://hadoop.apache.org/docs/r3.1.1/hadoop-project-dist/hadoop-common/SecureMode.html#Data_Encryption_on_RPC</a>.</p>
+</div>
+<div class="section" id="mrs_01_0810__s94afb81d20234d73848c54a455ed4e72"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_0810__p39519895015">Go to the <strong id="mrs_01_0810__b7195624185175">All Configurations</strong> page of HDFS and enter a parameter name in the search box by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0810__tf2825bb00e7746689fcd8e516c7deae3" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0810__r0e864afda2894d98a800a1583c91ffd1"><th align="left" class="cellrowborder" valign="top" width="20.549999999999997%" id="mcps1.3.2.3.2.4.1.1"><p id="mrs_01_0810__aee709aad2d1b43b0b22c986a62e29d9f"><strong id="mrs_01_0810__b958031419247">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="63.970000000000006%" id="mcps1.3.2.3.2.4.1.2"><p id="mrs_01_0810__a3e75067ae2274f99a80b56df25deee5a"><strong id="mrs_01_0810__b44341315142420">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.479999999999999%" id="mcps1.3.2.3.2.4.1.3"><p id="mrs_01_0810__ab517dd0b23ad4df194a0e53b1a314d91"><strong id="mrs_01_0810__b6232131611242">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0810__r6e927307a5544db8a00750149ca9f499"><td class="cellrowborder" valign="top" width="20.549999999999997%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_0810__a66415190d6ba4c38adbe7c20fe08dfe7">hadoop.rpc.protection</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.970000000000006%" headers="mcps1.3.2.3.2.4.1.2 "><div class="notice" id="mrs_01_0810__note37951715184511"><span class="noticetitle"> NOTICE: </span><div class="noticebody"><ul id="mrs_01_0810__ul1950212178439"><li id="mrs_01_0810__li16862210104216">The setting takes effect only after the service is restarted. Rolling restart is not supported.</li><li id="mrs_01_0810__li11441336124210">After the setting, you need to download the client configuration again. Otherwise, the HDFS cannot provide the read and write services.</li></ul>
+</div></div>
+<p id="mrs_01_0810__en-us_topic_0039590290_p201565609549">Whether the RPC channels of each module in Hadoop are encrypted. The channels include:</p>
+<ul id="mrs_01_0810__u5b151c77034a4d6a9afaf9b6cc424ab4"><li id="mrs_01_0810__l737d3eafbf784d659fa1158fb87a417a">RPC channels for clients to access HDFS</li><li id="mrs_01_0810__lffafb96934e54c0493d4ac73c6da2b08">RPC channels between modules in HDFS, for example, RPC channels between DataNode and NameNode</li><li id="mrs_01_0810__l54328728af9645f299f5a9e9e9e088ef">RPC channels for clients to access Yarn</li><li id="mrs_01_0810__ld96f53a172cf47e38c906f4c4103d654">RPC channels between NodeManager and ResourceManager</li><li id="mrs_01_0810__l5e8376feb13f42268676d3921ca36091">RPC channels for Spark to access Yarn and HDFS</li><li id="mrs_01_0810__ldd1e7323620143cea8806bcbb03e5c38">RPC channels for MapReduce to access Yarn and HDFS</li><li id="mrs_01_0810__ld9d30f284168450882eb83a012d49245">RPC channels for HBase to access HDFS</li></ul>
+<div class="note" id="mrs_01_0810__n33107288ea614fb6928782a88db4e860"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0810__en-us_topic_0039590290_p261753629193">You can set this parameter on the HDFS component configuration page. The parameter setting takes effect globally, that is, the setting of whether the RPC channel is encrypted takes effect on all modules in Hadoop.</p>
+</div></div>
+<p id="mrs_01_0810__a56c11ae38c4546bab53777260befd167">There are three encryption modes.</p>
+<ul id="mrs_01_0810__u3521e4483fe54d659af4cb66d9b4b00c"><li id="mrs_01_0810__le020ca93e05c4c0c81f3138bf2010a57"><span class="parmvalue" id="mrs_01_0810__pc4b7ee2cde0047c992764cca158339d7"><b>authentication</b></span>: This is the default value in normal mode. In this mode, data is directly transmitted without encryption after being authenticated. This mode ensures performance but has security risks. </li><li id="mrs_01_0810__l8026d6cc31de4397b1b57b1a82473a5d"><span class="parmvalue" id="mrs_01_0810__p2ea10ebf782945d5a3d34a4c6a0811ef"><b>integrity</b></span>: Data is transmitted without encryption or authentication. To ensure data security, exercise caution when using this mode.</li><li id="mrs_01_0810__l0ac25edd19284fdf9ece4a9497aaab0a"><span class="parmvalue" id="mrs_01_0810__p6466962ec5c7495aa83e33ba912aa22d"><b>privacy</b></span>: This is the default value in security mode, indicating that data is transmitted after authentication and encryption. This mode reduces the performance.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="15.479999999999999%" headers="mcps1.3.2.3.2.4.1.3 "><ul id="mrs_01_0810__ul126721846184612"><li id="mrs_01_0810__li86721946174614">Security mode: privacy</li><li id="mrs_01_0810__li87384944613">Normal mode: authentication</li></ul>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0811.html b/docs/mrs/component-operation-guide/mrs_01_0811.html
new file mode 100644
index 000000000..0c9244d7b
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@@ -0,0 +1,50 @@
+<a name="mrs_01_0811"></a><a name="mrs_01_0811"></a>
+
+<h1 class="topictitle1">Reducing the Probability of Abnormal Client Application Operation When the Network Is Not Stable</h1>
+<div id="body1590130535019"><div class="section" id="mrs_01_0811__s1d10b87939aa4a64aa71e6b909d60dee"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0811__a1c018bfa83a94d28826357d8fee49dd4">Clients probably encounter running errors when the network is not stable. Users can adjust the following parameter values to improve the running efficiency.</p>
+</div>
+<div class="section" id="mrs_01_0811__s71bd1651df1040bfad87a63aa5e7f686"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_0811__p1734202313317">Go to the <strong id="mrs_01_0811__b165532001552127">All Configurations</strong> page of HDFS and enter a parameter name in the search box by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0811__tea1b44e1d1a145409309431fd57e1c84" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0811__r12f919d636ce4a058863486d02d2b676"><th align="left" class="cellrowborder" valign="top" width="20.36%" id="mcps1.3.2.3.2.4.1.1"><p id="mrs_01_0811__abeec7ea8c21c4f66bbc49cfd141d4f57"><strong id="mrs_01_0811__b6630315338">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="63.22%" id="mcps1.3.2.3.2.4.1.2"><p id="mrs_01_0811__ad72f0b25764746c4acb5f9b90fbab4be"><strong id="mrs_01_0811__b782312373313">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="16.42%" id="mcps1.3.2.3.2.4.1.3"><p id="mrs_01_0811__af991b00ec80247569832561ac6d9f404"><strong id="mrs_01_0811__b176651955339">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0811__red18a4050f8e41efaa34b43727d33a8b"><td class="cellrowborder" valign="top" width="20.36%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_0811__a62e07d7982664af6b4be685f2452ac6e">ha.health-monitor.rpc-timeout.ms</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.22%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_0811__aa13fa54b63954a51ab2221c9ec2bc05f">Timeout interval during the NameNode health check performed by ZKFC. Increasing this value can prevent dual active NameNodes and reduce the probability of application running exceptions on clients.</p>
+<p id="mrs_01_0811__a4f0be74b777545fcb3a3e4c0c106a76c">Unit: millisecond. Value range: 30,000 to 3,600,000</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.42%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_0811__a930a2d605eab4792a0684221c40a05c2">180,000</p>
+</td>
+</tr>
+<tr id="mrs_01_0811__rfe3feb7761754fef9c3e1308c17a63bf"><td class="cellrowborder" valign="top" width="20.36%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_0811__ae91dd53137e048a5a455a6f6f41f4183">ipc.client.connect.max.retries.on.timeouts</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.22%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_0811__a95e17d502d3448189c0180a56f956eab">Number of retry times when the socket connection between a server and a client times out.</p>
+<p id="mrs_01_0811__p382412512335">Value range: 1 to 256</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.42%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_0811__a7dbf275c7d264740a53b8a5e9eac0533">45</p>
+</td>
+</tr>
+<tr id="mrs_01_0811__rb99c380e85ae4ee59280e285f7a68124"><td class="cellrowborder" valign="top" width="20.36%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_0811__ad407d92af5f247e1a7665b0e785dffbf">ipc.client.connect.timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.22%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_0811__afa946e7fed554408ae84dcc23321a9c0">Timeout interval of the socket connection between a client and a server. Increasing the value of this parameter increases the timeout interval for setting up a connection.</p>
+<p id="mrs_01_0811__a26dea57b9b5d4af7b8788150ae362dd5">Unit: millisecond. Value range: 1 to 3,600,000</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.42%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_0811__ae6b3a432acb148df87ad12addb01800c">20,000</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0828.html b/docs/mrs/component-operation-guide/mrs_01_0828.html
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@@ -0,0 +1,237 @@
+<a name="mrs_01_0828"></a><a name="mrs_01_0828"></a>
+
+<h1 class="topictitle1">Introduction to HDFS Logs</h1>
+<div id="body1590130538413"><div class="section" id="mrs_01_0828__sc9b23b30799b48d18a62022db227618d"><h4 class="sectiontitle">Log Description</h4><p id="mrs_01_0828__en-us_topic_0046736733_p2413464"><strong id="mrs_01_0828__b3690192418364">Log path</strong>: The default path of HDFS logs is <strong id="mrs_01_0828__b63541252153615">/var/log/Bigdata/hdfs/</strong><em id="mrs_01_0828__i6355105212369">Role name</em>.</p>
+<ul id="mrs_01_0828__en-us_topic_0046736733_ul61272867"><li id="mrs_01_0828__en-us_topic_0046736733_li14584895">NameNode: <strong id="mrs_01_0828__b205697816371">/var/log/Bigdata/hdfs/nn</strong> (run logs) and <strong id="mrs_01_0828__b1321401243720">/var/log/Bigdata/audit/hdfs/nn</strong> (audit logs)</li><li id="mrs_01_0828__en-us_topic_0046736733_li64155199">DataNode: <strong id="mrs_01_0828__b7460835123720">/var/log/Bigdata/hdfs/dn</strong> (run logs) and <strong id="mrs_01_0828__b4368343103711">/var/log/Bigdata/audit/hdfs/dn</strong> (audit logs)</li><li id="mrs_01_0828__en-us_topic_0046736733_li40525883">ZKFC: <strong id="mrs_01_0828__b16835358388">/var/log/Bigdata/hdfs/zkfc</strong> (run logs) and <strong id="mrs_01_0828__b19905161873817">/var/log/Bigdata/audit/hdfs/zkfc</strong> (audit logs)</li><li id="mrs_01_0828__en-us_topic_0046736733_li29188627">JournalNode: <strong id="mrs_01_0828__b595263818383">/var/log/Bigdata/hdfs/jn</strong> (run logs) and <strong id="mrs_01_0828__b199927208380">/var/log/Bigdata/audit/hdfs/jn</strong> (audit logs)</li><li id="mrs_01_0828__li19190646135714">Router: <strong id="mrs_01_0828__b18894159193811">/var/log/Bigdata/hdfs/router</strong> (run logs) and <strong id="mrs_01_0828__b15597174610388">/var/log/Bigdata/audit/hdfs/router</strong> (audit logs)</li><li id="mrs_01_0828__li113211147702">HttpFS: <strong id="mrs_01_0828__b1668338123919">/var/log/Bigdata/hdfs/httpfs</strong> (run logs) and <strong id="mrs_01_0828__b768318893917">/var/log/Bigdata/audit/hdfs/httpfs</strong> (audit logs)</li></ul>
+<p id="mrs_01_0828__en-us_topic_0046736733_p61371058"><strong id="mrs_01_0828__b189983823918">Log archive rule</strong>: The automatic HDFS log compression function is enabled. By default, when the size of logs exceeds 100 MB, logs are automatically compressed into a log file named in the following format: <em id="mrs_01_0828__i162751811115418">&lt;Original log file name&gt;-&lt;yyyy-mm-dd_hh-mm-ss.[ID]</em><strong id="mrs_01_0828__b109918011531">.log.zip</strong>. A maximum of 100 latest compressed files are reserved. The number of compressed files can be configured on Manager.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0828__table54541555141713" frame="border" border="1" rules="all"><caption><b>Table 1 </b>HDFS log list</caption><thead align="left"><tr id="mrs_01_0828__row10454195501716"><th align="left" class="cellrowborder" valign="top" width="27.07270727072707%" id="mcps1.3.1.5.2.4.1.1"><p id="mrs_01_0828__p545505571711">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="39.59395939593959%" id="mcps1.3.1.5.2.4.1.2"><p id="mrs_01_0828__p1345514554174">Name</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.1.5.2.4.1.3"><p id="mrs_01_0828__p745525521719">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0828__row7455195512179"><td class="cellrowborder" rowspan="24" valign="top" width="27.07270727072707%" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0828__p154551855201714">Run log</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.59395939593959%" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0828__p1745545551717">hadoop-&lt;SSH_USER&gt;-&lt;process_name&gt;-&lt;hostname&gt;.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.1.5.2.4.1.3 "><p id="mrs_01_0828__p104551955141711">HDFS system log, which records most of the logs generated when the HDFS system is running.</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__row10455955161712"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0828__p1945513551173">hadoop-&lt;SSH_USER&gt;-&lt;process_name&gt;-&lt;hostname&gt;.out</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0828__p945555512178">Log that records the HDFS running environment information.</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__row2455105510170"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0828__p1045555510172">hadoop.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0828__p1545513554176">Log that records the operation of the Hadoop client.</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__row4455135512172"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0828__p184551455201713">hdfs-period-check.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0828__p4455115511716">Log that records scripts that are executed periodically, including automatic balancing, data migration, and JournalNode data synchronization detection.</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__row9455185531710"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0828__p545575561717">&lt;process_name&gt;-&lt;SSH_USER&gt;-&lt;DATE&gt;-&lt;PID&gt;-gc.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0828__p845595518178">Garbage collection log file</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__row1045555511711"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0828__p12455165591716">postinstallDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0828__p24551455111711">Work log before the HDFS service startup and after the installation.</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__row19455145514179"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0828__p1345518554172">hdfs-service-check.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0828__p1045525571719">Log that records whether the HDFS service starts successfully.</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__row204553558178"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0828__p11456655111714">hdfs-set-storage-policy.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0828__p8456455121715">Log that records the HDFS data storage policies.</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__row174561551173"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0828__p18456655141711">cleanupDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0828__p174561955111711">Log that records the cleanup logs about the uninstallation of the HDFS service.</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__row124563558173"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0828__p1545695511175">prestartDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0828__p164564552174">Log that records cluster operations before the HDFS service startup.</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__row84563554174"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0828__p124561555141711">hdfs-recover-fsimage.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0828__p1045616555177">Recovery log of the NameNode metadata.</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__row44569557179"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0828__p5456105511178">datanode-disk-check.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0828__p154561255111714">Log that records the disk status check during the cluster installation and use.</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__row1845615541720"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0828__p245695510173">hdfs-availability-check.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0828__p64561855171713">Log that check whether the HDFS service is available.</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__row6456115541710"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0828__p13456195561716">hdfs-backup-fsimage.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0828__p15456175561714">Backup log of the NameNode metadata.</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__row645695591711"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0828__p194562055171714">startDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0828__p245605511177">Detailed log that records the HDFS service startup.</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__row1045619554177"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0828__p144567558171">hdfs-blockplacement.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0828__p18456555141717">Log that records the placement policy of HDFS blocks.</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__row1145615554175"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0828__p18456145561717">upgradeDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0828__p11456155517177">Upgrade logs.</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__row2456165519171"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0828__p16456165516174">hdfs-clean-acls-java.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0828__p194561155101718">Log that records the clearing of deleted roles' ACL information by HDFS.</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__row154574555170"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0828__p144572559177">hdfs-haCheck.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0828__p44571555151717">Run log that checks whether the NameNode in active or standby state has obtained scripts.</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__row14573551177"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0828__p4457125516177">&lt;process_name&gt;-jvmpause.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0828__p14457115531719">Log that records JVM pauses during process running.</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__row845795520177"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0828__p1545765514179">hadoop-&lt;SSH_USER&gt;-balancer-&lt;hostname&gt;.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0828__p13457165591717">Run log of HDFS automatic balancing.</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__row124571255111716"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0828__p8457105531719">hadoop-&lt;SSH_USER&gt;-balancer-&lt;hostname&gt;.out</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0828__p1345745514178">Log that records information of the environment where HDFS executes automatic balancing.</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__row14457855111711"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0828__p945765511177">hdfs-switch-namenode.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0828__p1545711556171">Run log that records the HDFS active/standby switchover.</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__row038415361552"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0828__p12457175517173">hdfs-router-admin.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0828__p19457655191711">Run log of the mount table management operation</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__row1245745514174"><td class="cellrowborder" valign="top" width="27.07270727072707%" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0828__p104571255151712">Tomcat logs</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.59395939593959%" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0828__p9457125551711">hadoop-omm-host1.out, httpfs-catalina.&lt;DATE&gt;.log, httpfs-host-manager.&lt;DATE&gt;.log, httpfs-localhost.&lt;DATE&gt;.log, httpfs-manager.&lt;DATE&gt;.log, localhost_access_web_log.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.1.5.2.4.1.3 "><p id="mrs_01_0828__p17458175518171">Tomcat run log</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__row2458145510178"><td class="cellrowborder" rowspan="2" valign="top" width="27.07270727072707%" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0828__p1645865518177">Audit log</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.59395939593959%" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0828__p1845855521714">hdfs-audit-&lt;process_name&gt;.log</p>
+<p id="mrs_01_0828__p112311655174713">ranger-plugin-audit.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.1.5.2.4.1.3 "><p id="mrs_01_0828__p11458105511713">Audit log that records the HDFS operations (such as creating, deleting, modifying and querying files).</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__row7458105511173"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0828__p1045811551176">SecurityAuth.audit</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0828__p145812558177">HDFS security audit log.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_0828__section103871151494"><h4 class="sectiontitle">Log Level</h4><p id="mrs_01_0828__en-us_topic_0046736733_p57126295"><a href="#mrs_01_0828__t9a69df8da9a84f41bb6fd3e008d7a3b8">Table 2</a> lists the log levels supported by HDFS. The log levels include FATAL, ERROR, WARN, INFO, and DEBUG. Logs of which the levels are higher than or equal to the set level will be printed by programs. The higher the log level is set, the fewer the logs are recorded.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0828__t9a69df8da9a84f41bb6fd3e008d7a3b8"></a><a name="t9a69df8da9a84f41bb6fd3e008d7a3b8"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0828__t9a69df8da9a84f41bb6fd3e008d7a3b8" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Log levels</caption><thead align="left"><tr id="mrs_01_0828__en-us_topic_0046736733_row11055947"><th align="left" class="cellrowborder" valign="top" width="40.400000000000006%" id="mcps1.3.2.3.2.3.1.1"><p id="mrs_01_0828__en-us_topic_0046736733_p23116495"><strong id="mrs_01_0828__b157377191752">Level</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="59.599999999999994%" id="mcps1.3.2.3.2.3.1.2"><p id="mrs_01_0828__en-us_topic_0046736733_p7600288"><strong id="mrs_01_0828__b177172164518">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0828__row15970983318"><td class="cellrowborder" valign="top" width="40.400000000000006%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_0828__p19240021134811">FATAL</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.599999999999994%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_0828__p11240142113485">Indicates the critical error information about system running.</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__en-us_topic_0046736733_row37683526"><td class="cellrowborder" valign="top" width="40.400000000000006%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_0828__en-us_topic_0046736730_p34212241">ERROR</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.599999999999994%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_0828__en-us_topic_0046736730_p19728122">Indicates the error information about system running.</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__en-us_topic_0046736733_row45974909"><td class="cellrowborder" valign="top" width="40.400000000000006%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_0828__en-us_topic_0046736733_p32980125">WARN</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.599999999999994%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_0828__en-us_topic_0046736733_p54144478">Indicates that the current event processing exists exceptions.</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__en-us_topic_0046736733_row17538258"><td class="cellrowborder" valign="top" width="40.400000000000006%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_0828__en-us_topic_0046736733_p11312807">INFO</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.599999999999994%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_0828__en-us_topic_0046736733_p43922160">Indicates that the system and events are running properly.</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__en-us_topic_0046736733_row59755124"><td class="cellrowborder" valign="top" width="40.400000000000006%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_0828__en-us_topic_0046736733_p8326855">DEBUG</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.599999999999994%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_0828__en-us_topic_0046736733_p3386626">Indicates the system and system debugging information.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_0828__en-us_topic_0046736733_p66684983">To modify log levels, perform the following operations:</p>
+<ol id="mrs_01_0828__ol2049469418545"><li id="mrs_01_0828__li4027424618545"><span>Go to the <strong id="mrs_01_0828__b14028988851240">All Configurations</strong> page of HDFS by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</span></li><li id="mrs_01_0828__li2692390118545"><span>On the left menu bar, select the log menu of the target role.</span></li><li id="mrs_01_0828__li4098852518545"><span>Select a desired log level.</span></li><li id="mrs_01_0828__li1719026918545"><span>Save the configuration. In the displayed dialog box, click <strong id="mrs_01_0828__b9195192110911">OK</strong> to make the configurations take effect.</span><p><div class="note" id="mrs_01_0828__note3173619118545"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_0828__p3335240518545">The configurations take effect immediately without restarting the service.</p>
+</div></div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0828__sb12fb11bc4f74242902e28769eaf5e0f"><h4 class="sectiontitle">Log Formats</h4><p id="mrs_01_0828__en-us_topic_0046736733_p33054158">The following table lists the HDFS log formats.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0828__en-us_topic_0046736733_table29051967" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Log formats</caption><thead align="left"><tr id="mrs_01_0828__en-us_topic_0046736733_row53756949"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.3.2.4.1.1"><p id="mrs_01_0828__en-us_topic_0046736733_p59345638">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.3.2.4.1.2"><p id="mrs_01_0828__en-us_topic_0046736733_p42267412">Format</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.3.2.4.1.3"><p id="mrs_01_0828__en-us_topic_0046736733_p1108358">Example</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0828__en-us_topic_0046736733_row22668197"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_0828__en-us_topic_0046736733_p24184664">Run log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_0828__en-us_topic_0046736733_p12800776">&lt;<em id="mrs_01_0828__i842910132046">yyyy-MM-dd HH:mm:ss,SSS</em>&gt;|&lt;<em id="mrs_01_0828__i1866310191042">Log level</em>&gt;|&lt;<em id="mrs_01_0828__i8545152116104">Name of the thread that generates the log</em>&gt;|&lt;<em id="mrs_01_0828__i89165291108">Message in the log</em>&gt;|&lt;<em id="mrs_01_0828__i5363112515104">Location where the log event occurs</em>&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_0828__en-us_topic_0046736733_p30229916">2015-01-26 18:43:42,840 | INFO | IPC Server handler 40 on 8020 | Rolling edit logs | org.apache.hadoop.hdfs.server.namenode.FSEditLog.rollEditLog(FSEditLog.java:1096)</p>
+</td>
+</tr>
+<tr id="mrs_01_0828__en-us_topic_0046736733_row3633791"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_0828__en-us_topic_0046736733_p25901669">Audit log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_0828__en-us_topic_0046736733_p17660451">&lt;<em id="mrs_01_0828__i71111545411">yyyy-MM-dd HH:mm:ss,SSS</em>&gt;|&lt;<em id="mrs_01_0828__i695215595420">Log level</em>&gt;|&lt;<em id="mrs_01_0828__i15282535121016">Name of the thread that generates the log</em>&gt;|&lt;<em id="mrs_01_0828__i1728743515107">Message in the log</em>&gt;|&lt;<em id="mrs_01_0828__i1288203519101">Location where the log event occurs</em>&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_0828__en-us_topic_0046736733_p21210466">2015-01-26 18:44:42,607 | INFO | IPC Server handler 32 on 8020 | allowed=true ugi=hbase (auth:SIMPLE) ip=/10.177.112.145 cmd=getfileinfo src=/hbase/WALs/hghoulaslx410,16020,1421743096083/hghoulaslx410%2C16020%2C1421743096083.1422268722795 dst=null perm=null | org.apache.hadoop.hdfs.server.namenode.FSNamesystem$DefaultAuditLogger.logAuditMessage(FSNamesystem.java:7950)</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0829.html b/docs/mrs/component-operation-guide/mrs_01_0829.html
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@@ -0,0 +1,20 @@
+<a name="mrs_01_0829"></a><a name="mrs_01_0829"></a>
+
+<h1 class="topictitle1">HDFS Performance Tuning</h1>
+<div id="body1590130538414"><p id="mrs_01_0829__p8060118"></p>
+</div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1687.html">Improving Write Performance</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1688.html">Improving Read Performance Using Client Metadata Cache</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1689.html">Improving the Connection Between the Client and NameNode Using Current Active Cache</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0834.html b/docs/mrs/component-operation-guide/mrs_01_0834.html
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@@ -0,0 +1,27 @@
+<a name="mrs_01_0834"></a><a name="mrs_01_0834"></a>
+
+<h1 class="topictitle1">Using MapReduce</h1>
+<div id="body1590130623851"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_0836.html">Configuring the Log Archiving and Clearing Mechanism</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0837.html">Reducing Client Application Failure Rate</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0838.html">Transmitting MapReduce Tasks from Windows to Linux</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0839.html">Configuring the Distributed Cache</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0840.html">Configuring the MapReduce Shuffle Address</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0841.html">Configuring the Cluster Administrator List</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0842.html">Introduction to MapReduce Logs</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0843.html">MapReduce Performance Tuning</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1788.html">Common Issues About MapReduce</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0836.html b/docs/mrs/component-operation-guide/mrs_01_0836.html
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@@ -0,0 +1,94 @@
+<a name="mrs_01_0836"></a><a name="mrs_01_0836"></a>
+
+<h1 class="topictitle1">Configuring the Log Archiving and Clearing Mechanism</h1>
+<div id="body1590130628527"><div class="section" id="mrs_01_0836__s78a6bfc4c2bf4b73a47ca47fdb377c66"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0836__a626cdd0bab9746628faa69d8129cff28">Job and task logs are generated during execution of a MapReduce application.</p>
+<ul id="mrs_01_0836__ul2054378171710"><li id="mrs_01_0836__li1854315819176">Job logs are generated by the MRApplicationMaster, which record details about the start and running time of jobs and each task, Counter value, and other information. After being analyzed by HistoryServer, the job logs are used to view job execution details.</li><li id="mrs_01_0836__li254312815177">A task log records the log information generated by each task running in a container. By default, task logs are stored only on the local disk of each NodeManager. After the log aggregation function is enabled, the NodeManager merges local task logs and writes them into HDFS after job execution completes.</li></ul>
+<p id="mrs_01_0836__ac68be3cdec2949768edcbdc74e637786">The job logs and task logs of the MapReduce are stored on HDFS (when the log aggregation function is enabled). If the mechanism for periodically archiving and deleting log files is not configured for a cluster with a large number of computation tasks, the log files will occupy large memory space of HDFS and increase the cluster load.</p>
+<p id="mrs_01_0836__a1fb0756a844d48a4b5c2a22aa79238b3">Log archive is implemented by Hadoop Archives. The number (number of Map tasks) of concurrent archiving tasks started by the Hadoop Archives is related to the total size of log files to be archived. The formula is as follows: Number of concurrent archive tasks = Total size of log files to be archived/Size of archive files.</p>
+</div>
+<div class="section" id="mrs_01_0836__s02b22021995349908f01f74827ee1f83"><h4 class="sectiontitle">Configuration</h4><p id="mrs_01_0836__p21172338305">Go to the <strong id="mrs_01_0836__b178253143160">All Configurations</strong> page of the MapReduce service. For details, see <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+<p id="mrs_01_0836__p6381324103816">Enter the parameter name in the search box, change the parameter value, and save the configuration. On the <strong id="mrs_01_0836__b6399151417115">Dashboard</strong> tab page of the Mapreduce service, choose <strong id="mrs_01_0836__b06544179114">More</strong> &gt; <strong id="mrs_01_0836__b5460211112">Synchronize Configuration</strong>. After the synchronization is complete, restart the Mapreduce service.</p>
+<ul id="mrs_01_0836__ul6546166143619"><li id="mrs_01_0836__li135479619365">Job log parameters:
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0836__tdfac6c3b09f44f9c91cc1dafc3b9dcf0" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0836__rb1db0bdcb11c453eac569fbe5c319cc6"><th align="left" class="cellrowborder" valign="top" width="28.13%" id="mcps1.3.2.4.1.1.2.4.1.1"><p id="mrs_01_0836__a2ff371644c6d483a8af567e9e0b81f91"><strong id="mrs_01_0836__b860314814245">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="49%" id="mcps1.3.2.4.1.1.2.4.1.2"><p id="mrs_01_0836__a7eddb89ef90845aca1d38635ca23ff94"><strong id="mrs_01_0836__b1168615109249">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="22.869999999999997%" id="mcps1.3.2.4.1.1.2.4.1.3"><p id="mrs_01_0836__a4f63c038db1e446588075403a992c07d"><strong id="mrs_01_0836__b156611213192413">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0836__rc505b041d6eb4b4c85510950eef46b5c"><td class="cellrowborder" valign="top" width="28.13%" headers="mcps1.3.2.4.1.1.2.4.1.1 "><p id="mrs_01_0836__a4076fd7d350047bda4ec050f36e3aea7"><span id="mrs_01_0836__pbb323b37624d4fb4bd6db46bbc155ff1">mapreduce.jobhistory.cleaner.enable</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="49%" headers="mcps1.3.2.4.1.1.2.4.1.2 "><p id="mrs_01_0836__ac6bb6b4d1e9d45149d8e6cc6f7e1e03b"><span id="mrs_01_0836__pedcc96816d4e4ceea0be3043f8b0f794">Whether to enable the job log file deletion function.</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="22.869999999999997%" headers="mcps1.3.2.4.1.1.2.4.1.3 "><p id="mrs_01_0836__a0031e49cf185474e9c25b172766e159c"><span id="mrs_01_0836__p16f60789d5594fbea8ac249e825f2949">true</span></p>
+</td>
+</tr>
+<tr id="mrs_01_0836__rcad8b39ea72c49c38cb41e2b27e899ec"><td class="cellrowborder" valign="top" width="28.13%" headers="mcps1.3.2.4.1.1.2.4.1.1 "><p id="mrs_01_0836__a084f6381be0f4cf39d11fb3bbc298d58"><span id="mrs_01_0836__p82d9677bd6d34be59e26b28e548076b9">mapreduce.jobhistory.cleaner.interval-ms</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="49%" headers="mcps1.3.2.4.1.1.2.4.1.2 "><p id="mrs_01_0836__a1f3c6eeba298470cbba9514a89ef6064"><span id="mrs_01_0836__p208a62b9ae24435c9ecbe15040e714ff">Period for starting a log file cleanup. Only log files whose retention period is longer than the time specified by <span class="parmname" id="mrs_01_0836__p8c2d2b034ae2498abb28dcb6403571c9"><b>mapreduce.jobhistory.max-age-ms</b></span></span><span id="mrs_01_0836__p3837a92a0ba940fd8d248fac64f23b09"> can be deleted.</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="22.869999999999997%" headers="mcps1.3.2.4.1.1.2.4.1.3 "><p id="mrs_01_0836__a704f93e445854a5fbf562926b5323dc8"><span id="mrs_01_0836__p29eeec59a1874c2e9721c71b129dd446">86,400,000 ms (1 day)</span></p>
+</td>
+</tr>
+<tr id="mrs_01_0836__r59fd99bd1bef4c8abb1c8280e88283c5"><td class="cellrowborder" valign="top" width="28.13%" headers="mcps1.3.2.4.1.1.2.4.1.1 "><p id="mrs_01_0836__aca46ac808d7744ae87ef4100270f414d"><span id="mrs_01_0836__p2d5600d852224f88a5a45f7c51bd111a">mapreduce.jobhistory.max-age-ms</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="49%" headers="mcps1.3.2.4.1.1.2.4.1.2 "><p id="mrs_01_0836__a2b99dd1685b641ea94c119d29bed851b"><span id="mrs_01_0836__p5c50fff5394b45d7872171e34f57299a">Log files whose retention period is longer than the retention period in milliseconds specified by this parameter will be deleted.</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="22.869999999999997%" headers="mcps1.3.2.4.1.1.2.4.1.3 "><p id="mrs_01_0836__ae5f18075868f4e47981340d3d96f3e5f">1,296,000,000 ms (15 days)</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_0836__li132641224367">Task log parameters:
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0836__table192165382365" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0836__row7217183816362"><th align="left" class="cellrowborder" valign="top" width="28.26%" id="mcps1.3.2.4.2.1.2.4.1.1"><p id="mrs_01_0836__p102172038203612"><strong id="mrs_01_0836__b1026730366">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="51.190000000000005%" id="mcps1.3.2.4.2.1.2.4.1.2"><p id="mrs_01_0836__p122172038113610"><strong id="mrs_01_0836__b1816496279">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20.549999999999997%" id="mcps1.3.2.4.2.1.2.4.1.3"><p id="mrs_01_0836__p72176381363"><strong id="mrs_01_0836__b156916547276">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0836__row9217738203611"><td class="cellrowborder" valign="top" width="28.26%" headers="mcps1.3.2.4.2.1.2.4.1.1 "><p id="mrs_01_0836__p132176384365">yarn.log-aggregation.archive.files.minimum</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.190000000000005%" headers="mcps1.3.2.4.2.1.2.4.1.2 "><p id="mrs_01_0836__p1621716383360">Indicates the minimum number of archived MapReduce job log files. The archiving task starts when the number of files in the <span class="parmname" id="mrs_01_0836__p6475996e2be047249049e65e12dd6c67"><b>yarn.nodemanager.remote-app-log-dir</b></span> folder is greater than or equal to the value of this parameter.</p>
+<p id="mrs_01_0836__p192187388369">This parameter applies to MRS 3.<em id="mrs_01_0836__i699322981714">x</em>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.549999999999997%" headers="mcps1.3.2.4.2.1.2.4.1.3 "><p id="mrs_01_0836__p6218153893617">5,000</p>
+</td>
+</tr>
+<tr id="mrs_01_0836__row52181338173616"><td class="cellrowborder" valign="top" width="28.26%" headers="mcps1.3.2.4.2.1.2.4.1.1 "><p id="mrs_01_0836__p12187386368">yarn.log-aggregation.archive-check-interval-seconds</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.190000000000005%" headers="mcps1.3.2.4.2.1.2.4.1.2 "><p id="mrs_01_0836__p4218438193614">Indicates the MapReduce job log archiving interval, in seconds. Log files are archived only when the number of log files reaches the value of <span class="parmname" id="mrs_01_0836__p238a8bdf7dc64e869ea0d8bdc4b68a1a"><b>yarn.log-aggregation.archive.files.minimum</b></span>. The archiving function is disabled when the period is set to <span class="parmvalue" id="mrs_01_0836__p94c7eee71c244325a14ce9d40bbdc548"><b>0</b></span> or <span class="parmvalue" id="mrs_01_0836__p2aeaae6bacf842d4b423a6ba78223e42"><b>-1</b></span>.</p>
+<p id="mrs_01_0836__p182181238173619">This parameter applies to MRS 3.<em id="mrs_01_0836__i17878154717179">x</em>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.549999999999997%" headers="mcps1.3.2.4.2.1.2.4.1.3 "><p id="mrs_01_0836__p18218138113619">-1</p>
+</td>
+</tr>
+<tr id="mrs_01_0836__row2218638193614"><td class="cellrowborder" valign="top" width="28.26%" headers="mcps1.3.2.4.2.1.2.4.1.1 "><p id="mrs_01_0836__p112187385363">yarn.log-aggregation.retain-seconds</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.190000000000005%" headers="mcps1.3.2.4.2.1.2.4.1.2 "><p id="mrs_01_0836__p1621810382368">Indicates the retention period on HDFS for archiving the MapReduce job logs. The value <span class="parmvalue" id="mrs_01_0836__p8965ccfdcf6242399657ad6f918a56b6"><b>-1</b></span> indicates that log files are stored permanently.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.549999999999997%" headers="mcps1.3.2.4.2.1.2.4.1.3 "><p id="mrs_01_0836__p13218113873619">1,296,000</p>
+</td>
+</tr>
+<tr id="mrs_01_0836__row142185380365"><td class="cellrowborder" valign="top" width="28.26%" headers="mcps1.3.2.4.2.1.2.4.1.1 "><p id="mrs_01_0836__p142186388364"><span id="mrs_01_0836__ph9218193814362">yarn.log-aggregation.retain-check-interval-seconds</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="51.190000000000005%" headers="mcps1.3.2.4.2.1.2.4.1.2 "><p id="mrs_01_0836__p52183389367"><span id="mrs_01_0836__pfe0004a709ef4c63b0445a0b80512f1d">Indicates the check period (in seconds) of the MapReduce job log deletion task. If this parameter is set to <span class="parmvalue" id="mrs_01_0836__pd1893fde87e54cdcb6e44709d4e67c99"><b>-1</b></span>,</span><span id="mrs_01_0836__p84cfc80600e2411eabe1a6e5115ad837"> the check period is one tenth of the log retention period</span>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.549999999999997%" headers="mcps1.3.2.4.2.1.2.4.1.3 "><p id="mrs_01_0836__p42188383361">86400</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0834.html">Using MapReduce</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0837.html b/docs/mrs/component-operation-guide/mrs_01_0837.html
new file mode 100644
index 000000000..da06d1fca
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+<a name="mrs_01_0837"></a><a name="mrs_01_0837"></a>
+
+<h1 class="topictitle1">Reducing Client Application Failure Rate</h1>
+<div id="body1590130628529"><div class="section" id="mrs_01_0837__s66b2f50a4632433bbe418b7865a29965"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0837__a18549684f01a4a5ebed52b0eb9241db7">When the network is unstable or the cluster I/O and CPU are overloaded, client applications might encounter running failures.</p>
+</div>
+<div class="section" id="mrs_01_0837__sabeb2217f5a7471fbacf31755e6995a0"><h4 class="sectiontitle">Configuration</h4><p id="mrs_01_0837__a2ec8d96d88f44bab9a2ade2b1ba42841">Adjust the following parameters in the <span class="filepath" id="mrs_01_0837__f18b17f50d15c4b46a3a9b86ad48401fd"><b>mapred-site.xml</b></span> configuration file on the client to reduce the client application failure rate:</p>
+<div class="note" id="mrs_01_0837__note32052054818"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0837__p1201820164811">The <span class="filepath" id="mrs_01_0837__filepath13951112824814"><b>mapred-site.xml</b></span> configuration file is in the <strong id="mrs_01_0837__b25651120361">conf</strong> directory of the client installation path, for example, <strong id="mrs_01_0837__b1430791233817">/opt/</strong><strong id="mrs_01_0837__b16307191253818"></strong><strong id="mrs_01_0837__b1330715122381">client/Yarn/config</strong>.</p>
+</div></div>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0837__t645b88266ef2437faae23a9418fa7459" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0837__r25a644642ad64b9793d6c9b4ba72b9b0"><th align="left" class="cellrowborder" valign="top" width="22.43%" id="mcps1.3.2.4.2.4.1.1"><p id="mrs_01_0837__a5c59a3e433374847af5a6fa1009017d1"><strong id="mrs_01_0837__b3755725203612">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="63.6%" id="mcps1.3.2.4.2.4.1.2"><p id="mrs_01_0837__aae24dbde20a745d0b38647ab2d9f2782"><strong id="mrs_01_0837__b8617192618360">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="13.969999999999999%" id="mcps1.3.2.4.2.4.1.3"><p id="mrs_01_0837__ae26a0c67f9c94db48a14640077a6a4ee"><strong id="mrs_01_0837__b74001127183616">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0837__r353f398acd12469286f66ea5be3335a2"><td class="cellrowborder" valign="top" width="22.43%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_0837__a0fb83d975a3e482f9c16ee93f831757f">mapreduce.reduce.shuffle.max-host-failures</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.6%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_0837__a39d0c42277344eea90a1770f388885ac">Indicates the number of allowed failures of an MR task to read remote shuffle data in the Reduce process. When the number is set to be over 5, the client application failure rate can be reduced. This parameter applies to MRS 3.<em id="mrs_01_0837__i441712841916">x</em>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.969999999999999%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_0837__ac23e0fcf36f249cca6c2d2f7bd852f6a">5</p>
+</td>
+</tr>
+<tr id="mrs_01_0837__r44242cbd987649e28efcdc156c06cbd5"><td class="cellrowborder" valign="top" width="22.43%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_0837__aae795b0604ea472f9e3b5a4d09b1eb62">mapreduce.client.submit.file.replication</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.6%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_0837__a6d6383fdf6da47529e4f4e04a1565e96">Indicates the backup of job files on HDFS. MR tasks are dependent on the job files during running. When the number of backups is set to be over 10, the client application failure rate can be reduced.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.969999999999999%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_0837__ac4ecd8c8d4984c4b8d3485cb50975ff1">10</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0834.html">Using MapReduce</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0838.html b/docs/mrs/component-operation-guide/mrs_01_0838.html
new file mode 100644
index 000000000..9e691990b
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@@ -0,0 +1,35 @@
+<a name="mrs_01_0838"></a><a name="mrs_01_0838"></a>
+
+<h1 class="topictitle1">Transmitting MapReduce Tasks from Windows to Linux</h1>
+<div id="body1590130628532"><div class="section" id="mrs_01_0838__sa90a67f2f1a04fbcb38cd2f8ee841d95"><h4 class="sectiontitle">Scenarios</h4><p id="mrs_01_0838__aa28e6ea095ab45c4be828ee9a76d75fe">If you want to transmit a job from Windows to Linux, set <strong id="mrs_01_0838__b483111491839">mapreduce.app-submission.cross-platform</strong> to <strong id="mrs_01_0838__b139288541235">true</strong>. If this parameter is unavailable for a cluster or its value is <strong id="mrs_01_0838__b134636298512">false</strong>, the function of transmitting MapReduce tasks from Windows to Linux is not supported. In this case, perform the following operations to add this parameter or change its value to enable this function:</p>
+<div class="note" id="mrs_01_0838__note1286611300323"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0838__p1486614300321">This section applies to MRS 3.<em id="mrs_01_0838__i7926112172415">x</em> or later.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0838__s1f287267f12a41909077a2e790b03d3c"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_0838__a8eba7400305540d0ac49fd526c4da3c8">Adjust the following parameter in the <span class="filepath" id="mrs_01_0838__f72d5c6dec20f4586a9264a24fb5a0ba7"><b>mapred-site.xml</b></span> configuration file on the client to enable the running of MapReduce tasks: The <span class="filepath" id="mrs_01_0838__filepath13951112824814"><b>mapred-site.xml</b></span> configuration file is in the <strong id="mrs_01_0838__b104260055052235">config</strong> directory of the client installation path, for example, <strong id="mrs_01_0838__b1725453013384">/opt/</strong><strong id="mrs_01_0838__b025473019383"></strong><strong id="mrs_01_0838__b625411302389">client/Yarn/config</strong>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0838__te7de35d7a5cc4bf9b33ce0c91f24ded0" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters</caption><thead align="left"><tr id="mrs_01_0838__r9d89b2afe9df44f99eeb97401eb573e0"><th align="left" class="cellrowborder" valign="top" width="20.93%" id="mcps1.3.2.3.2.4.1.1"><p id="mrs_01_0838__a64feaf16bdfd44f4b70274082c127e8a"><strong id="mrs_01_0838__a6e90903dd56d4c339a7ad8d52de0cac8">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="63.22%" id="mcps1.3.2.3.2.4.1.2"><p id="mrs_01_0838__a69899e5d865f4a7684f290abfad96d71"><strong id="mrs_01_0838__afc959bb0494e446c94f9d859c278a81a">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.85%" id="mcps1.3.2.3.2.4.1.3"><p id="mrs_01_0838__a7f95cabd2318472cbd470686252ab8ad"><strong id="mrs_01_0838__a2fe16796d67642ffb6e24fc9be8249be">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0838__reaaa2bfb4ccf49988f8dd7ad35a90bb3"><td class="cellrowborder" valign="top" width="20.93%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_0838__a8340425465754f03ae4ee239dad541dc">mapreduce.app-submission.cross-platform</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.22%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_0838__a640ca996e4cb46f4a1d005b21cba12f6">Indicates whether to support running of MapReduce tasks after they are transmitted from Windows to Linux. When the parameter value is <span class="parmvalue" id="mrs_01_0838__p0f1b79403e0e454b86081aa36356bee5"><b>true</b></span>, the running of MapReduce tasks is supported. When the parameter value is <span class="parmvalue" id="mrs_01_0838__p56300052e33148c7986c3ea36cd1015e"><b>false</b></span>, the running of MapReduce tasks is not supported. </p>
+</td>
+<td class="cellrowborder" valign="top" width="15.85%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_0838__a12ff86082fa845c2bc053a0cdb6f1e29">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0834.html">Using MapReduce</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0839.html b/docs/mrs/component-operation-guide/mrs_01_0839.html
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+<a name="mrs_01_0839"></a><a name="mrs_01_0839"></a>
+
+<h1 class="topictitle1">Configuring the Distributed Cache</h1>
+<div id="body1590130629896"><div class="section" id="mrs_01_0839__s63b8d4d1a1784f7abf0fb575603ca962"><h4 class="sectiontitle">Scenarios</h4><div class="note" id="mrs_01_0839__note1286611300323"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0839__p1486614300321">This section applies to MRS 3.<em id="mrs_01_0839__i1216817511275">x</em> or later.</p>
+</div></div>
+<p id="mrs_01_0839__a343db8381ada4681a42990449ae2c510">Distributed caching is useful in the following scenarios:</p>
+<p id="mrs_01_0839__a35755ed6f4dc4569a22ec8380175eaf0"><strong id="mrs_01_0839__adb8436b5e67f40e2ac04e1efd775d2ba">Rolling Upgrade</strong></p>
+<p id="mrs_01_0839__a24a0072efb1e43b29a6fe4b37ea57f11">During the upgrade, applications must keep the text content (JAR file or configuration file) unchanged. The content is not based on Yarn of the current version, but on the version when it is submitted. This is a challenging issue. Generally, applications (such as MapReduce, Hive, and Tez) need to be installed locally. Libraries need to be installed on all cluster servers (clients and servers). When a rolling upgrade or downgrade starts in the cluster, the version of the locally installed library changes during application running. During the rolling upgrade, only a few NodeManagers are upgraded first. These NodeManagers obtain the software of the latest version. This leads to inconsistent behavior and can result in run-time errors.</p>
+<p id="mrs_01_0839__aefe3495364894007b22d2ff9d45a181e"><strong id="mrs_01_0839__a780e8f198b524afcae41a6a426bb443d">Co-existence of Multiple Yarn Versions</strong></p>
+<p id="mrs_01_0839__a3397ed5d588e4f96ae35b1758262937a">Cluster administrators may run tasks that use multiple versions of Yarn and Hadoop JARs in a cluster. However, this task is difficult to be implemented because the JARs have been localized and have only one version.</p>
+<p id="mrs_01_0839__a6ca8d5286f254a91867530ed8dcc3355">The MapReduce application framework can be deployed through the distributed cache and does not depend on the static version copied during installation. Therefore, you can store multiple versions of Hadoop in HDFS and configure the <span class="filepath" id="mrs_01_0839__f44cde1ce0b5b4da1898f0b25af2560b9"><b>mapred-site.xml</b></span> file to specify the default version used by the task. You can run different versions of MapReduce by setting proper configuration attributes without using the versions deployed in the cluster.</p>
+<div class="fignone" id="mrs_01_0839__ff6b35503342f4e29b9fc759caf375c43"><a name="mrs_01_0839__ff6b35503342f4e29b9fc759caf375c43"></a><a name="ff6b35503342f4e29b9fc759caf375c43"></a><span class="figcap"><b>Figure 1 </b>Clusters with NodeManagers and Applications of multiple versions</span><br><span><img id="mrs_01_0839__id3aaaa9ef58e4363bef53f28f13cc01f" src="en-us_image_0000001348770401.png"></span></div>
+</div>
+<p id="mrs_01_0839__abd5240fdd160483381f3f89685df297d">As shown in <a href="#mrs_01_0839__ff6b35503342f4e29b9fc759caf375c43">Figure 1</a>, the application can use Hadoop JARs in HDFS instead of the local version. Therefore, during the rolling upgrade, even if NodeManager has been upgraded, the application can still run Hadoop of the earlier version.</p>
+<div class="section" id="mrs_01_0839__sd225fc31316c448e8429fc422bfda814"><h4 class="sectiontitle">Configuration Description</h4><ol id="mrs_01_0839__od60edfba9f13477693ed5a6bea722b7f"><li id="mrs_01_0839__l6b6eb9cc36cf42668d521a1cf15a13d4"><span>Save the MapReduce <strong id="mrs_01_0839__b28730217351930">.tar</strong> package of the specified version to a directory that can be accessed by applications in HDFS, as shown in the following command.</span><p><p id="mrs_01_0839__ad761ff8df73d4fcb88bd0b9e6d1f1159"><i><span class="varname" id="mrs_01_0839__v507b4fe120424b0183f458ddb28343c1">$HADOOP_HOME</span></i><strong id="mrs_01_0839__b37891743145911">/bin/hdfs dfs -put</strong> <i><span class="varname" id="mrs_01_0839__vaeaea216664244bab8f6558c6243ec14">hadoop-x.tar.gz</span></i> <i><span class="varname" id="mrs_01_0839__vab6d8a0a13f0404c8a7bb69ee99950c2">/mapred/framework/</span></i></p>
+</p></li><li id="mrs_01_0839__l544aecfb485b4cba980fd8d015ea3b8e"><span>Set parameters in the <span class="filepath" id="mrs_01_0839__facd50f970ac8406bad3d857573758c6f"><b>mapred-site.xml</b></span> file based on <a href="#mrs_01_0839__tb0ddb31c45b94f19967571acd6bfc4e3">Table 1</a>.</span><p>
+<div class="tablenoborder"><a name="mrs_01_0839__tb0ddb31c45b94f19967571acd6bfc4e3"></a><a name="tb0ddb31c45b94f19967571acd6bfc4e3"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0839__tb0ddb31c45b94f19967571acd6bfc4e3" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Distributed cache parameters</caption><thead align="left"><tr id="mrs_01_0839__r8e0872dcc3184635b57419637041186e"><th align="left" class="cellrowborder" valign="top" width="18.3%" id="mcps1.3.3.2.2.2.1.2.4.1.1"><p id="mrs_01_0839__adc719298cd5744ad90cfb9cc66ce19a3"><strong id="mrs_01_0839__ae3859414cf9649f6a73fe10135ae1f4f">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="69.64%" id="mcps1.3.3.2.2.2.1.2.4.1.2"><p id="mrs_01_0839__ae7576dfcd8ff4c1e937cc221c1030cfa"><strong id="mrs_01_0839__ae41de99cce014167b10c1476b7131740">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="12.06%" id="mcps1.3.3.2.2.2.1.2.4.1.3"><p id="mrs_01_0839__a2a4d2b77767f4400acb1d05799f5288e"><strong id="mrs_01_0839__ad38c116c37bf4e378b8f5ef9c66b731a">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0839__r782abf7d7c67454098661cdd92fac66b"><td class="cellrowborder" valign="top" width="18.3%" headers="mcps1.3.3.2.2.2.1.2.4.1.1 "><p id="mrs_01_0839__ac0ac3eaa6c9346d69aded8b11567ae61">mapreduce.application.framework.path</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.64%" headers="mcps1.3.3.2.2.2.1.2.4.1.2 "><p id="mrs_01_0839__a8848dc8170d34491a90f5f7502a2b1de">Indicates the URL directing to the archive location.</p>
+<div class="note" id="mrs_01_0839__ne1a318d5526147259f1d049cdc885523"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0839__a3b8f329800244e35aca9085ae4f2bbd2">This property can also create an alias for the archive if the URL fragment identity name is specified as follows. In this example, the alias is set to <strong id="mrs_01_0839__b139310262051930">mr-framework</strong>.</p>
+<pre class="screen" id="mrs_01_0839__s41c990e092814b61ae85d8079a547ee2">&lt;property&gt; &lt;name&gt;mapreduce.application.framework.path&lt;/name&gt; &lt;value&gt;hdfs:/mapred/framework/hadoop-x.tar.gz#mr-framework&lt;/value&gt; &lt;/property&gt;</pre>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="12.06%" headers="mcps1.3.3.2.2.2.1.2.4.1.3 "><p id="mrs_01_0839__a334d1a5cb56540dd821eee8dcf9735b9">NA</p>
+</td>
+</tr>
+<tr id="mrs_01_0839__r6c33cf9b55274a3493d6a60be4e35b62"><td class="cellrowborder" valign="top" width="18.3%" headers="mcps1.3.3.2.2.2.1.2.4.1.1 "><p id="mrs_01_0839__a664dc2bb257742b78a9ce7f86edacc5b">mapreduce.application.classpath</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.64%" headers="mcps1.3.3.2.2.2.1.2.4.1.2 "><p id="mrs_01_0839__ab80823cf200d47d288269fa698af9791">Indicates the parameter property, which contains the MapReduce JARs in the class directory.</p>
+<div class="note" id="mrs_01_0839__n4ec530a6d536433281a62ecd421970ec"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0839__a3c51130269494d07b68b7b44bac6fbb4">For example, the alias <strong id="mrs_01_0839__b41031696151930">mr-framework</strong> used in the framework path is used to match the directory.</p>
+<pre class="screen" id="mrs_01_0839__s43c2cc7b1b8a4e5db896ab02e094178b">&lt;property&gt; &lt;name&gt;mapreduce.application.classpath&lt;/name&gt;   &lt;value&gt;$PWD/mr-framework/hadoop/share/hadoop/mapreduce/*:$PWD/mr-framework/hadoop/share/hadoop/mapreduce/lib/*:$PWD/mr-framework/hadoop/share/hadoop/common/*:$PWD/mr-framework/hadoop/share/hadoop/common/lib/*:$PWD/mr-framework/hadoop/share/hadoop/yarn/*:$PWD/mr-framework/hadoop/share/hadoop/yarn/lib/*:$PWD/mr-framework/hadoop/share/hadoop/hdfs/*:$PWD/mr-framework/hadoop/share/hadoop/hdfs/lib/*:/etc/hadoop/conf/secure&lt;/value&gt;&lt;/property&gt;</pre>
+<p id="mrs_01_0839__a35ebecb0065a4254a05c54316633d6c6"></p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="12.06%" headers="mcps1.3.3.2.2.2.1.2.4.1.3 "><p id="mrs_01_0839__a359d7203b01347f788c32890a832274d">N/A</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_0839__a01e0eab1ff534838bfdf1d64f4215c29">You can upload MapReduce tarballs of multiple versions to HDFS. Different <span class="filepath" id="mrs_01_0839__f3858e63cf9ea4f0fa3fc4727aa4709d3"><b>mapred-site.xml</b></span> files indicate different locations. After that, you can run tasks for a specific <span class="filepath" id="mrs_01_0839__fff2704780fda4174be8a4b1f117a6546"><b>mapred-site.xml</b></span> file. The following is an example of running an MapReduce task for the MapReduce tarball of the <em id="mrs_01_0839__i4842044751930">x</em> version:</p>
+<p id="mrs_01_0839__a6041e8a829544c7baa15b4bef1f4fb76"><b><span class="cmdname" id="mrs_01_0839__cmdname174341857171110">hadoop jar</span></b> <i><span class="varname" id="mrs_01_0839__vfb9c7430870b45bf915c40fbb48da6f0">share/hadoop/mapreduce/hadoop-mapreduce-examples-*.jar</span></i> <i><span class="varname" id="mrs_01_0839__v5c35ab0154814ea18ca52bd42b9c614e">pi</span></i> <b><span class="cmdname" id="mrs_01_0839__cmdname5269213126">-conf</span></b> <b><span class="cmdname" id="mrs_01_0839__cmdname2363191114121">etc/hadoop-x/mapred-site.xml</span></b> <i><span class="varname" id="mrs_01_0839__v14b4bd22a5ba44479963163a4eca4f55">10 10</span></i></p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0834.html">Using MapReduce</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0840.html b/docs/mrs/component-operation-guide/mrs_01_0840.html
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index 000000000..c10b5391c
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@@ -0,0 +1,35 @@
+<a name="mrs_01_0840"></a><a name="mrs_01_0840"></a>
+
+<h1 class="topictitle1">Configuring the MapReduce Shuffle Address</h1>
+<div id="body1590130629900"><div class="section" id="mrs_01_0840__s026012d927e24f96b9f0303dfef37a5d"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0840__a22a370de2b3747c1bca1c4fa68f81b8c">When the MapReduce shuffle service is started, it attempts to bind an IP address based on local host. If the MapReduce shuffle service is required to connect to a specific IP address, no configuration is available. The following description allows you to configure a connection to a specific IP address.</p>
+</div>
+<div class="section" id="mrs_01_0840__s2eaff574ab514384a3f9c0a7b90ade0e"><h4 class="sectiontitle">Configuration</h4><p id="mrs_01_0840__a9797343a14634c8f9e0f3983a15c5196">To bind a specific IP address to the MapReduce shuffle service, set the following parameters in the <span class="filepath" id="mrs_01_0840__fe7b059cce77a45ed8a55f280340deac0"><b>mapred-site.xml</b></span> configuration file of the node where the NodeManager instance resides:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0840__teecad1d17de341e8a02189d82be882de" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0840__r81065d68158d44ffad4ce8f33ef8fb94"><th align="left" class="cellrowborder" valign="top" width="29.32%" id="mcps1.3.2.3.2.4.1.1"><p id="mrs_01_0840__a59174bbea9fb4058aac8b12ee90fa815">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="42.67%" id="mcps1.3.2.3.2.4.1.2"><p id="mrs_01_0840__adf93f641128f46cc8c54875a1a113402">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="28.01%" id="mcps1.3.2.3.2.4.1.3"><p id="mrs_01_0840__aee02aeb639c34c67805fa0373e858dbd">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0840__rb1a1b29520984d7d9e7869c57566eb4c"><td class="cellrowborder" valign="top" width="29.32%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_0840__ac005ab4a4c8b48979d66112e23528c03">mapreduce.shuffle.address</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.67%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_0840__af6ee75c9506a43d49aaa9c3980ef7ffc">Indicates the specified address to run the shuffle service. The format is <em id="mrs_01_0840__i155511137204118">IP:PORT</em>. The default value is empty. If this parameter is left empty, the local host IP address is bound. The default port number is 13562.</p>
+<div class="note" id="mrs_01_0840__n9caad64f002e4737878067662befdfef"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0840__a944543bb5ad14fa49c3082b4bcfbf1be">If the value of <em id="mrs_01_0840__i83282463422">PORT</em> is different from that of <strong id="mrs_01_0840__b95181250144210">mapreduce.shuffle.port</strong>, the <strong id="mrs_01_0840__b1844212573426">mapreduce.shuffle.port</strong> value does not take effect.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="28.01%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_0840__a08887bf61cf140b3961eed748bca7fc4">-</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0834.html">Using MapReduce</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0841.html b/docs/mrs/component-operation-guide/mrs_01_0841.html
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+<a name="mrs_01_0841"></a><a name="mrs_01_0841"></a>
+
+<h1 class="topictitle1">Configuring the Cluster Administrator List</h1>
+<div id="body1590130629902"><div class="section" id="mrs_01_0841__s786c488a25164826a69837844ec69a05"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0841__ae5057ca96257416f888dd5422cca8053">This function is used to specify the MapReduce cluster administrator.</p>
+<p id="mrs_01_0841__ad74bb0ef9ad245e2b2623314be60d1c8">The <span id="mrs_01_0841__ph152563211536">system </span>administrator list is specified by <span class="parmname" id="mrs_01_0841__p16ca3c519b274a26a4fb5a21b1fafba4"><b>mapreduce.cluster.administrators</b></span>. The cluster administrator <strong id="mrs_01_0841__b1326382115444">admin</strong> has all operation permissions.</p>
+</div>
+<div class="section" id="mrs_01_0841__s181860678a464b48834abcf50010fc3a"><h4 class="sectiontitle">Configuration</h4><p id="mrs_01_0841__p21172338305">On the <strong id="mrs_01_0841__b16107103523615">All Configurations</strong> page of the MapReduce service, enter a parameter name in the search box. For details, see <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0841__tffc6ab17d74e4db9bd0ec153797cb096" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0841__r11cf03626c304ecaa7c6207dad005672"><th align="left" class="cellrowborder" valign="top" width="33.23%" id="mcps1.3.2.3.2.4.1.1"><p id="mrs_01_0841__af29ab7a6a86a436b8520f9b6bfc69428"><strong id="mrs_01_0841__b78492318445">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="42.33%" id="mcps1.3.2.3.2.4.1.2"><p id="mrs_01_0841__a61dda9edeabd4c9883c272cc2f0b4816"><strong id="mrs_01_0841__b5977432144420">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="24.44%" id="mcps1.3.2.3.2.4.1.3"><p id="mrs_01_0841__a117a2a29cfe445bf9e94dd625d7faf10"><strong id="mrs_01_0841__b275133364412">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0841__r367db34b189c4249a65c6b5b01df483f"><td class="cellrowborder" valign="top" width="33.23%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_0841__a7ce1bf2f832044d9ab6adbaa09a25045">mapreduce.cluster.acls.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.33%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_0841__adaff1f197d8544668fd61278b4b0cbb1">Indicates whether to enable permission control on Job History Server.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.44%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_0841__a67fc78b891dc48e4bf5a0c75de0cdfca">true</p>
+</td>
+</tr>
+<tr id="mrs_01_0841__rc21dabf6e0924644914929811fbf3366"><td class="cellrowborder" valign="top" width="33.23%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_0841__a6100dc13944641a1b49a322f083841ff">mapreduce.cluster.administrators</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.33%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_0841__en-us_topic_0039590317_p799076514539">Indicates the administrator list of the MapReduce cluster. You can configure both users and user groups. Multiple users or user groups are separated by commas (,), and users and user groups are separated by spaces, for example, userA,userB groupA,groupB. The value <strong id="mrs_01_0841__b48831720164615">*</strong> indicates all users or user groups.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.44%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_0841__p16532056193916">For versions earlier than MRS 3.x: mapred</p>
+<p id="mrs_01_0841__p135765618454">For MRS 3.<em id="mrs_01_0841__i10550822203714">x</em> or later:</p>
+<p id="mrs_01_0841__p1442316352915">mapred supergroup,System_administrator_186</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0834.html">Using MapReduce</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_0842"></a><a name="mrs_01_0842"></a>
+
+<h1 class="topictitle1">Introduction to MapReduce Logs</h1>
+<div id="body1590130629911"><div class="section" id="mrs_01_0842__saaf675d3b66e47babf6fd8f8a9c8a676"><h4 class="sectiontitle">Log Description</h4><p id="mrs_01_0842__en-us_topic_0046736742_p56908160"><strong id="mrs_01_0842__b1476413185474">Log paths:</strong></p>
+<ul id="mrs_01_0842__en-us_topic_0046736742_ul46158236"><li id="mrs_01_0842__en-us_topic_0046736742_li12770940">JobhistoryServer: <strong id="mrs_01_0842__b16693164124719">/var/log/Bigdata/mapreduce/jobhistory</strong> (run log) and <strong id="mrs_01_0842__b7955958114717">/var/log/Bigdata/audit/mapreduce/jobhistory</strong> (audit log)</li><li id="mrs_01_0842__en-us_topic_0046736742_li47829596">Container: <strong id="mrs_01_0842__b159141226124819">/srv/BigData/hadoop/data1/nm/containerlogs/application_${appid}/container_{$contid}</strong></li></ul>
+<div class="note" id="mrs_01_0842__en-us_topic_0046736742_note27813181"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_0842__en-us_topic_0046736742_p48992040">The logs of running tasks are stored in the preceding paths. After the running is complete, the system determines whether to aggregate the logs to an HDFS directory based on the YARN configuration. For details, see <a href="mrs_01_0852.html">Common YARN Parameters</a>.</p>
+</div></div>
+<p id="mrs_01_0842__en-us_topic_0046736742_p38275183"><strong id="mrs_01_0842__b486665312483">Log archive rule</strong>:</p>
+<p id="mrs_01_0842__en-us_topic_0046736742_p13282105">The automatic compression and archive function is enabled for MapReduce logs. By default, a log file is automatically compressed when the size of the log file is greater than 50 MB. The name of the compressed log file is in the following format: <em id="mrs_01_0842__i4281185023920">&lt;Name of the original log&gt;-&lt;yyyy-mm-dd_hh-mm-ss&gt;.[NO.]</em><strong id="mrs_01_0842__b457335611394">.log.zip</strong>. A maximum of 100 latest compressed files are reserved. The number of compressed files can be configured on the parameter configuration page.</p>
+<p id="mrs_01_0842__en-us_topic_0046736742_p52430087">In MapReduce, JobhistoryServer cleans the old log files stored in HDFS periodically. The default storage directory is <strong id="mrs_01_0842__b12204223115111">/mr-history/done</strong>. <strong id="mrs_01_0842__b8917153019516">mapreduce.jobhistory.max-age-ms</strong> is used to set the cleanup interval. The default value of this parameter is 1,296,000,000 ms, which indicates 15 days.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0842__en-us_topic_0046736742_table2108740" frame="border" border="1" rules="all"><caption><b>Table 1 </b>MapReduce log list</caption><thead align="left"><tr id="mrs_01_0842__en-us_topic_0046736742_row48625339"><th align="left" class="cellrowborder" valign="top" width="27.55%" id="mcps1.3.1.8.2.4.1.1"><p id="mrs_01_0842__en-us_topic_0046736742_p46338367">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="38.78%" id="mcps1.3.1.8.2.4.1.2"><p id="mrs_01_0842__en-us_topic_0046736742_p62420240">Name</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.67%" id="mcps1.3.1.8.2.4.1.3"><p id="mrs_01_0842__en-us_topic_0046736742_p22874645">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0842__row19786194123116"><td class="cellrowborder" rowspan="14" valign="top" width="27.55%" headers="mcps1.3.1.8.2.4.1.1 "><p id="mrs_01_0842__en-us_topic_0046736742_p25127389">Run log</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.78%" headers="mcps1.3.1.8.2.4.1.2 "><p id="mrs_01_0842__p878674133113">jhs-daemon-start-stop.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.67%" headers="mcps1.3.1.8.2.4.1.3 "><p id="mrs_01_0842__p1578813493114">Startup log file of the daemon process</p>
+</td>
+</tr>
+<tr id="mrs_01_0842__row19295124882612"><td class="cellrowborder" valign="top" headers="mcps1.3.1.8.2.4.1.1 "><p id="mrs_01_0842__p17297104811269">hadoop-&lt;SSH_USER&gt;-jhshadaemon-&lt;hostname&gt;.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.8.2.4.1.2 "><p id="mrs_01_0842__p62977481266">Run log file of the daemon process</p>
+</td>
+</tr>
+<tr id="mrs_01_0842__en-us_topic_0046736742_row40906934"><td class="cellrowborder" valign="top" headers="mcps1.3.1.8.2.4.1.1 "><p id="mrs_01_0842__en-us_topic_0046736742_p22052591">hadoop-&lt;SSH_USER&gt;-&lt;process_name&gt;-&lt;hostname&gt;.out</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.8.2.4.1.2 "><p id="mrs_01_0842__en-us_topic_0046736742_p41429462">Log that records the MapReduce running environment information</p>
+</td>
+</tr>
+<tr id="mrs_01_0842__en-us_topic_0046736742_row37320845"><td class="cellrowborder" valign="top" headers="mcps1.3.1.8.2.4.1.1 "><p id="mrs_01_0842__en-us_topic_0046736742_p3089614">historyserver-&lt;SSH_USER&gt;-&lt;DATE&gt;-&lt;PID&gt;-gc.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.8.2.4.1.2 "><p id="mrs_01_0842__en-us_topic_0046736742_p48932183">Log that records the garbage collection of the MapReduce service</p>
+</td>
+</tr>
+<tr id="mrs_01_0842__en-us_topic_0046736742_row37736471"><td class="cellrowborder" valign="top" headers="mcps1.3.1.8.2.4.1.1 "><p id="mrs_01_0842__p14434129183318">jhs-haCheck.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.8.2.4.1.2 "><p id="mrs_01_0842__p15670123443314">Log that records the active and standby status of MapReduce instances</p>
+</td>
+</tr>
+<tr id="mrs_01_0842__en-us_topic_0046736742_row18174391"><td class="cellrowborder" valign="top" headers="mcps1.3.1.8.2.4.1.1 "><p id="mrs_01_0842__en-us_topic_0046736742_p62839538">yarn-start-stop.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.8.2.4.1.2 "><p id="mrs_01_0842__en-us_topic_0046736742_p56837822">Log that records the startup and stop of the MapReduce service</p>
+</td>
+</tr>
+<tr id="mrs_01_0842__en-us_topic_0046736742_row41778354"><td class="cellrowborder" valign="top" headers="mcps1.3.1.8.2.4.1.1 "><p id="mrs_01_0842__en-us_topic_0046736742_p28603481">yarn-prestart.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.8.2.4.1.2 "><p id="mrs_01_0842__en-us_topic_0046736742_p35180645">Log that records cluster operations before the MapReduce service startup</p>
+</td>
+</tr>
+<tr id="mrs_01_0842__en-us_topic_0046736742_row48190357"><td class="cellrowborder" valign="top" headers="mcps1.3.1.8.2.4.1.1 "><p id="mrs_01_0842__en-us_topic_0046736742_p11104819">yarn-postinstall.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.8.2.4.1.2 "><p id="mrs_01_0842__en-us_topic_0046736742_p27075113">Work log before the MapReduce service startup and after the installation</p>
+</td>
+</tr>
+<tr id="mrs_01_0842__en-us_topic_0046736742_row42349429"><td class="cellrowborder" valign="top" headers="mcps1.3.1.8.2.4.1.1 "><p id="mrs_01_0842__en-us_topic_0046736742_p7751715">yarn-cleanup.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.8.2.4.1.2 "><p id="mrs_01_0842__en-us_topic_0046736742_p23909182">Log that records the cleanup logs about the uninstallation of the MapReduce service</p>
+</td>
+</tr>
+<tr id="mrs_01_0842__en-us_topic_0046736742_row13856047"><td class="cellrowborder" valign="top" headers="mcps1.3.1.8.2.4.1.1 "><p id="mrs_01_0842__en-us_topic_0046736742_p48598040">mapred-service-check.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.8.2.4.1.2 "><p id="mrs_01_0842__en-us_topic_0046736742_p44127137">Log that records the health check details of the MapReduce service</p>
+</td>
+</tr>
+<tr id="mrs_01_0842__en-us_topic_0046736742_row61599913"><td class="cellrowborder" valign="top" headers="mcps1.3.1.8.2.4.1.1 "><p id="mrs_01_0842__en-us_topic_0046736742_p23537029">container_{$contid}</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.8.2.4.1.2 "><p id="mrs_01_0842__en-us_topic_0046736742_p27451222">Container log</p>
+</td>
+</tr>
+<tr id="mrs_01_0842__row133344019912"><td class="cellrowborder" valign="top" headers="mcps1.3.1.8.2.4.1.1 "><p id="mrs_01_0842__p782871941213">hadoop-&lt;SSH_USER&gt;-&lt;process_name&gt;-&lt;hostname&gt;.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.8.2.4.1.2 "><p id="mrs_01_0842__p43221913119">MR run log</p>
+</td>
+</tr>
+<tr id="mrs_01_0842__row3334101591"><td class="cellrowborder" valign="top" headers="mcps1.3.1.8.2.4.1.1 "><p id="mrs_01_0842__p485483019525">mapred-switch-jhs.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.8.2.4.1.2 "><p id="mrs_01_0842__p28541830165218">MR active/standby switchover log</p>
+</td>
+</tr>
+<tr id="mrs_01_0842__row123351501598"><td class="cellrowborder" valign="top" headers="mcps1.3.1.8.2.4.1.1 "><p id="mrs_01_0842__p02361024313">env.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.8.2.4.1.2 "><p id="mrs_01_0842__p172361726317">Environment information log before the instance is started or stopped</p>
+</td>
+</tr>
+<tr id="mrs_01_0842__en-us_topic_0046736742_row45734414"><td class="cellrowborder" rowspan="2" valign="top" width="27.55%" headers="mcps1.3.1.8.2.4.1.1 "><p id="mrs_01_0842__en-us_topic_0046736742_p13500073">Audit log</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.78%" headers="mcps1.3.1.8.2.4.1.2 "><p id="mrs_01_0842__en-us_topic_0046736742_p19764141">mapred-audit-jobhistory.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.67%" headers="mcps1.3.1.8.2.4.1.3 "><p id="mrs_01_0842__en-us_topic_0046736742_p57391552">MapReduce operation audit log</p>
+</td>
+</tr>
+<tr id="mrs_01_0842__row062314392214"><td class="cellrowborder" valign="top" headers="mcps1.3.1.8.2.4.1.1 "><p id="mrs_01_0842__p962473915216">SecurityAuth.audit</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.8.2.4.1.2 "><p id="mrs_01_0842__p762483911212">MapReduce security audit log</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_0842__section66893546516"><h4 class="sectiontitle">Log Level</h4><p id="mrs_01_0842__en-us_topic_0046736742_p18204173"><a href="#mrs_01_0842__tefeb2aa164fe4238b59439b2b0dacf00">Table 2</a> describes the log levels supported by MapReduce The log levels are FATAL, ERROR, WARN, INFO, and DEBUG from high priority to low. Logs whose levels are higher than or equal to the specified level are printed. The number of printed logs decreases as the specified log level increases. </p>
+
+<div class="tablenoborder"><a name="mrs_01_0842__tefeb2aa164fe4238b59439b2b0dacf00"></a><a name="tefeb2aa164fe4238b59439b2b0dacf00"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0842__tefeb2aa164fe4238b59439b2b0dacf00" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Log level</caption><thead align="left"><tr id="mrs_01_0842__en-us_topic_0046736742_row48618163"><th align="left" class="cellrowborder" valign="top" width="35.35%" id="mcps1.3.2.3.2.3.1.1"><p id="mrs_01_0842__en-us_topic_0046736742_p45757162"><strong id="mrs_01_0842__b14773162110596">Level</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="64.64999999999999%" id="mcps1.3.2.3.2.3.1.2"><p id="mrs_01_0842__en-us_topic_0046736742_p3865714"><strong id="mrs_01_0842__b1466822705910">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0842__en-us_topic_0046736742_row66642231"><td class="cellrowborder" valign="top" width="35.35%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_0842__en-us_topic_0046736742_p29311631">FATAL</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.64999999999999%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_0842__en-us_topic_0046736742_p25431924">Logs of this level record critical error information about the current event processing.</p>
+</td>
+</tr>
+<tr id="mrs_01_0842__en-us_topic_0046736742_row27560726"><td class="cellrowborder" valign="top" width="35.35%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_0842__en-us_topic_0046736742_p17826361">ERROR</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.64999999999999%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_0842__en-us_topic_0046736742_p34649116">Logs of this level record error information about the current event processing.</p>
+</td>
+</tr>
+<tr id="mrs_01_0842__en-us_topic_0046736742_row43406589"><td class="cellrowborder" valign="top" width="35.35%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_0842__en-us_topic_0046736742_p26272803">WARN</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.64999999999999%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_0842__en-us_topic_0046736742_p47722335">Logs of this level record unexpected alarm information about the current event processing.</p>
+</td>
+</tr>
+<tr id="mrs_01_0842__en-us_topic_0046736742_row26847831"><td class="cellrowborder" valign="top" width="35.35%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_0842__en-us_topic_0046736742_p27190732">INFO</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.64999999999999%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_0842__en-us_topic_0046736742_p54965706">Logs of this level record normal running status information about the system and events.</p>
+</td>
+</tr>
+<tr id="mrs_01_0842__en-us_topic_0046736742_row24929307"><td class="cellrowborder" valign="top" width="35.35%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_0842__en-us_topic_0046736742_p6007992">DEBUG</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.64999999999999%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_0842__en-us_topic_0046736742_p16885362">Logs of this level record the system information and system debugging information.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_0842__en-us_topic_0046736742_p35624820">To modify log levels, perform the following operations:</p>
+<ol id="mrs_01_0842__en-us_topic_0046736742_ol52187928"><li id="mrs_01_0842__li214111617211"><span>Go to the <strong id="mrs_01_0842__b35515215184">All Configurations</strong> page of the MapReduce service. For details, see <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</span></li><li id="mrs_01_0842__en-us_topic_0046736742_li15574875"><span>On the left menu bar, select the log menu of the target role.</span></li><li id="mrs_01_0842__en-us_topic_0046736742_li5956154"><span>Select a desired log level.</span></li><li id="mrs_01_0842__en-us_topic_0046736742_li53605390"><span>Save the configuration. In the displayed dialog box, click <strong id="mrs_01_0842__b426515176189">OK</strong> to make the configurations take effect.</span><p><div class="note" id="mrs_01_0842__en-us_topic_0046736742_note12686464"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_0842__en-us_topic_0046736742_p47069313">The configurations take effect immediately without restarting the service.</p>
+</div></div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0842__sa94e55a53af6466f9b2c9feac3284cb5"><h4 class="sectiontitle">Log Format</h4><p id="mrs_01_0842__en-us_topic_0046736742_p54517980">The following table lists the MapReduce log formats.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0842__en-us_topic_0046736742_table20899776" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Log format</caption><thead align="left"><tr id="mrs_01_0842__en-us_topic_0046736742_row37313023"><th align="left" class="cellrowborder" valign="top" width="24.490000000000002%" id="mcps1.3.3.3.2.4.1.1"><p id="mrs_01_0842__en-us_topic_0046736742_p2455997"><strong id="mrs_01_0842__b754019441120">Type</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="35.709999999999994%" id="mcps1.3.3.3.2.4.1.2"><p id="mrs_01_0842__en-us_topic_0046736742_p45591407"><strong id="mrs_01_0842__b111723509214">Format</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="39.800000000000004%" id="mcps1.3.3.3.2.4.1.3"><p id="mrs_01_0842__en-us_topic_0046736742_p17248297"><strong id="mrs_01_0842__b673975212218">Example</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0842__en-us_topic_0046736742_row24651527"><td class="cellrowborder" valign="top" width="24.490000000000002%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_0842__en-us_topic_0046736742_p50616659">Run log</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.709999999999994%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_0842__en-us_topic_0046736742_p6308675">&lt;<em id="mrs_01_0842__i032002612513">yyyy-MM-dd HH:mm:ss,SSS</em>&gt;|&lt;<em id="mrs_01_0842__i191709301059">Log level</em>&gt;|&lt;<em id="mrs_01_0842__i18184195615210">Name of the thread that generates the log</em>&gt;|&lt;<em id="mrs_01_0842__i191892562214">Message in the log</em>&gt;|&lt;<em id="mrs_01_0842__i161907563212">Location where the log event occurs</em>&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.800000000000004%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_0842__en-us_topic_0046736742_p41240639">2020-01-26 14:18:59,109 | INFO | main | Client environment:java.compiler=&lt;NA&gt; |  org.apache.zookeeper.Environment.logEnv(Environment.java:100)</p>
+</td>
+</tr>
+<tr id="mrs_01_0842__en-us_topic_0046736742_row35621438"><td class="cellrowborder" valign="top" width="24.490000000000002%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_0842__en-us_topic_0046736742_p66764216">Audit log</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.709999999999994%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_0842__en-us_topic_0046736742_p39192435">&lt;<em id="mrs_01_0842__i6582194265">yyyy-MM-dd HH:mm:ss,SSS</em>&gt;|&lt;<em id="mrs_01_0842__i199617366">Log level</em>&gt;|&lt;<em id="mrs_01_0842__i11747387315">Name of the thread that generates the log</em>&gt;|&lt;<em id="mrs_01_0842__i14753185314">Message in the log</em>&gt;|&lt;<em id="mrs_01_0842__i12753108136">Location where the log event occurs</em>&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.800000000000004%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_0842__en-us_topic_0046736742_p20470679">2020-01-26 14:24:43,605 | INFO | main-EventThread |  USER=omm OPERATION=refreshAdminAcls TARGET=AdminService RESULT=SUCCESS |  org.apache.hadoop.yarn.server.resourcemanager.RMAuditLogger$LogLevel$6.printLog(RMAuditLogger.java:91)</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0834.html">Using MapReduce</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0843.html b/docs/mrs/component-operation-guide/mrs_01_0843.html
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+<a name="mrs_01_0843"></a><a name="mrs_01_0843"></a>
+
+<h1 class="topictitle1">MapReduce Performance Tuning</h1>
+<div id="body1590130629912"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_0844.html">Optimization Configuration for Multiple CPU Cores</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0845.html">Determining the Job Baseline</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0846.html">Streamlining Shuffle</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0847.html">AM Optimization for Big Tasks</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0848.html">Speculative Execution</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0849.html">Using Slow Start</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0850.html">Optimizing Performance for Committing MR Jobs</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0834.html">Using MapReduce</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0844.html b/docs/mrs/component-operation-guide/mrs_01_0844.html
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+<a name="mrs_01_0844"></a><a name="mrs_01_0844"></a>
+
+<h1 class="topictitle1">Optimization Configuration for Multiple CPU Cores</h1>
+<div id="body1590130629917"><div class="section" id="mrs_01_0844__sa122ff06bc974e94b1a3bb430719b056"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0844__a05a49da902d142f78183d430417526c0">Optimization can be performed when the number of CPU cores is large, for example, the number of CPU cores is three times the number of disks.</p>
+</div>
+<div class="section" id="mrs_01_0844__s4825270f1f844a67a30fc2ee4f4410df"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_0844__a0134017fee9f415daaef0f9fa712be42">You can set the following parameters in either of the following ways:</p>
+<ul id="mrs_01_0844__u8ed61d89a8674c53954eb1608a0379b2"><li id="mrs_01_0844__la7b654dab66f48f5a138dbbcef01a333">Configuration on the server:<p id="mrs_01_0844__p21172338305"><a name="mrs_01_0844__la7b654dab66f48f5a138dbbcef01a333"></a><a name="la7b654dab66f48f5a138dbbcef01a333"></a>On the <strong id="mrs_01_0844__b1992216341914">All Configurations</strong> page of the Yarn service, enter a parameter name in the search box. For details, see <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+</li><li id="mrs_01_0844__l25acd6127ad54f0e943ee0378f1353ae">Configuration on the client:<div class="p" id="mrs_01_0844__a956b6a00fe744b30abfe95dae1d08a86"><a name="mrs_01_0844__l25acd6127ad54f0e943ee0378f1353ae"></a><a name="l25acd6127ad54f0e943ee0378f1353ae"></a>Modify the corresponding configuration file on the client.<div class="note" id="mrs_01_0844__n5cdcfde77f51435f9c55f48148c02668"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0844__ucae6331ef55a48c2800e6e63e238f278"><li id="mrs_01_0844__l4980bb1022dc46b990389adebe9b5227">Path of configuration files on the HDFS client: <em id="mrs_01_0844__i20543101815338">Client installation directory</em><strong id="mrs_01_0844__b88227152117">/HDFS/hadoop/etc/hadoop/hdfs-site.xml</strong></li></ul>
+<ul id="mrs_01_0844__u2911754722034f98bc23ec0a791614e7"><li id="mrs_01_0844__ldb6461052eb744199b9f2740c258f5f4">Path of configuration files on the Yarn client: <em id="mrs_01_0844__i1959422213312">Client installation directory</em><strong id="mrs_01_0844__b1514281612149">/HDFS/hadoop/etc/hadoop/yarn-site.xml</strong>.</li></ul>
+<ul id="mrs_01_0844__u87fafd8a30284a5b9fba5252582ec7fc"><li id="mrs_01_0844__l1f015bc5935c406fb7c8c9880307d154">Path of configuration files on the MapReduce client: <em id="mrs_01_0844__i589162683312">Client installation directory</em><strong id="mrs_01_0844__b114871336181320">/HDFS/hadoop/etc/hadoop/mapred-site.xml</strong>.</li></ul>
+</div></div>
+</div>
+</li></ul>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0844__t2da2cf9d47b3438c879b6a13024f2c69" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Settings of multiple CPU cores</caption><thead align="left"><tr id="mrs_01_0844__rdd4e8e00ed3841f49f0f0bacbe7bf798"><th align="left" class="cellrowborder" valign="top" width="9.340000000000002%" id="mcps1.3.2.4.2.8.1.1"><p id="mrs_01_0844__a31f667e57e4d4b57804099dfa2f1adee"><strong id="mrs_01_0844__b1628785712146">Configuration</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="16.290000000000003%" id="mcps1.3.2.4.2.8.1.2"><p id="mrs_01_0844__af71ef5a36f524451afb4d74d9c985a82"><strong id="mrs_01_0844__b156691616157">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="19.860000000000007%" id="mcps1.3.2.4.2.8.1.3"><p id="mrs_01_0844__a6967752807114798b87c551cc5814552"><strong id="mrs_01_0844__b1546515291514">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="9.830000000000002%" id="mcps1.3.2.4.2.8.1.4"><p id="mrs_01_0844__ab540ba2069cd4a0da0fd7ed2e6aec489"><strong id="mrs_01_0844__b42712318156">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="9.500000000000004%" id="mcps1.3.2.4.2.8.1.5"><p id="mrs_01_0844__a619e708d50e949b4a7a796adced999bf"><strong id="mrs_01_0844__ac58eedf71ef34c41aac2aa0b8f7b7f41">Server/Client</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20.210000000000004%" id="mcps1.3.2.4.2.8.1.6"><p id="mrs_01_0844__a10b140d53eee40d4bc5d327739c8202c"><strong id="mrs_01_0844__b168418541513">Impact</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="14.970000000000002%" id="mcps1.3.2.4.2.8.1.7"><p id="mrs_01_0844__a9231a3bcd22d49c7a62417f9c8c7ea54"><strong id="mrs_01_0844__b1056310817158">Remarks</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0844__r6d45e97a1bb544a78724a0801be8f766"><td class="cellrowborder" rowspan="3" valign="top" width="9.340000000000002%" headers="mcps1.3.2.4.2.8.1.1 "><p id="mrs_01_0844__acd2b74b46adc47d1aad119a7d1e0bc32">Number of slots in a node container</p>
+</td>
+<td class="cellrowborder" rowspan="3" valign="top" width="16.290000000000003%" headers="mcps1.3.2.4.2.8.1.2 "><p id="mrs_01_0844__acab1e4b81b5f4475adef574744fec526">The combination of the following parameters determines the number of concurrent tasks (Map and Reduce tasks) of each node:</p>
+<ul id="mrs_01_0844__u4f765129d2a04bb6a3bb4be2304e8fb9"><li id="mrs_01_0844__lf46fb290a3484a199f0e8fe5385328b7">yarn.nodemanager.resource.memory-mb</li><li id="mrs_01_0844__l07a72337280d4d45be97999b10457aa9">mapreduce.map.memory.mb</li><li id="mrs_01_0844__l158772950b5a43d7ab843959e9e14d50">mapreduce.reduce.memory.mb</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="19.860000000000007%" headers="mcps1.3.2.4.2.8.1.3 "><p id="mrs_01_0844__aed4acb1e6bf14eb9ba444718deb9ec23">yarn.nodemanager.resource.memory-mb</p>
+<div class="note" id="mrs_01_0844__n244cf0af613a4bafb893da80b9a3554c"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0844__p02853240410">For versions earlier than MRS 3.x: You need to configure this parameter on the MRS console.</p>
+<p id="mrs_01_0844__ae95e065fbbea4ef5b8b89ffabfa00f1f">For MRS 3.<em id="mrs_01_0844__i1793014218292">x</em> or later: You need to configure this parameter on FusionInsight Manager.</p>
+</div></div>
+<p id="mrs_01_0844__a86cb9afd36014e33a777f98e1195c250"></p>
+</td>
+<td class="cellrowborder" valign="top" width="9.830000000000002%" headers="mcps1.3.2.4.2.8.1.4 "><p id="mrs_01_0844__p165921219284">Versions earlier than MRS 3.<em id="mrs_01_0844__i175281130121110">x</em>:</p>
+<p id="mrs_01_0844__a93f1c1f6440042f69cd804dea5d4c889">8192</p>
+<p id="mrs_01_0844__p13197192210813">MRS 3.<em id="mrs_01_0844__i19428171910810">x</em> or later:</p>
+<p id="mrs_01_0844__p4352230181">16384</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.500000000000004%" headers="mcps1.3.2.4.2.8.1.5 "><p id="mrs_01_0844__abbc046726a20480e9560163029091ee5">Server</p>
+</td>
+<td class="cellrowborder" rowspan="3" valign="top" width="20.210000000000004%" headers="mcps1.3.2.4.2.8.1.6 "><p id="mrs_01_0844__ae058db46f20343a8a9a8547091316f2e">If data needs to be read from and written into disks for all tasks (Map/Reduce tasks), a disk may be accessed by multiple processes at the same time, which leads to poor disk I/O performance. To ensure disk I/O performance, the number of concurrent access requests from a client to a disk cannot exceed 3.</p>
+</td>
+<td class="cellrowborder" rowspan="3" valign="top" width="14.970000000000002%" headers="mcps1.3.2.4.2.8.1.7 "><p id="mrs_01_0844__a5e0e1e4335ae4669a7922261e7a3dae8">The maximum number of concurrent containers must be [2.5 x Number of disks configured in Hadoop].</p>
+</td>
+</tr>
+<tr id="mrs_01_0844__r008296861ba54b9e8fb82a211704c6db"><td class="cellrowborder" valign="top" headers="mcps1.3.2.4.2.8.1.1 "><p id="mrs_01_0844__a181c0b81e48e41bf98bed984426649bb">mapreduce.map.memory.mb</p>
+<div class="note" id="mrs_01_0844__n6bc08046bb35439fb09d22b1ec76e311"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0844__aa2c808b3cefd4989820ab71d62b69e61">You need to set this parameter in the configuration file on the client in the <em id="mrs_01_0844__a401b3cf0efe04a9dbde28e9588b78207">Client installation directory</em><strong id="mrs_01_0844__b10599192194">/HDFS/hadoop/etc/hadoop/mapred-site.xml</strong> path.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.4.2.8.1.2 "><p id="mrs_01_0844__p840312176179">4096</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.4.2.8.1.3 "><p id="mrs_01_0844__a1f16ff0741b644a3929b7b7e34923a0e">Client</p>
+</td>
+</tr>
+<tr id="mrs_01_0844__r448cf09faec3470b928146b8ca51fe01"><td class="cellrowborder" valign="top" headers="mcps1.3.2.4.2.8.1.1 "><p id="mrs_01_0844__a01203e5d270649c192ee7525ee8c6f89">mapreduce.reduce.memory.mb</p>
+<div class="note" id="mrs_01_0844__n472ae56c93f042f1abc14ecd6750ec56"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0844__a00048962479d43c0a53653d51350dd24">You need to set this parameter in the configuration file on the client in the <em id="mrs_01_0844__i65166426198">Client installation directory</em><strong id="mrs_01_0844__b3516104218198">/HDFS/hadoop/etc/hadoop/mapred-site.xml</strong> path.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.4.2.8.1.2 "><p id="mrs_01_0844__p102533510182">4096</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.4.2.8.1.3 "><p id="mrs_01_0844__aa2d80bd2078f4d9b8ebb3c72421641c4">Client</p>
+</td>
+</tr>
+<tr id="mrs_01_0844__r23729c81564d4d67a38c2c3166605c3b"><td class="cellrowborder" rowspan="2" valign="top" width="9.340000000000002%" headers="mcps1.3.2.4.2.8.1.1 "><p id="mrs_01_0844__a65be3751492a4482b8678c4e8e54fe61">Map output and compression</p>
+</td>
+<td class="cellrowborder" rowspan="2" valign="top" width="16.290000000000003%" headers="mcps1.3.2.4.2.8.1.2 "><p id="mrs_01_0844__afac8d26f32c94423a881e0fad459219e">The Map task output before being written into disks can be compressed. This can save disk space, offer faster data write, and reduce the data traffic delivered to Reducer. You need to configure the following parameters on the client:</p>
+<ul id="mrs_01_0844__u9d3fcf205fb54b868ad2409fa85cf725"><li id="mrs_01_0844__lf34ce54397a44306a63dcda90198dcee"><strong id="mrs_01_0844__b182511878241">mapreduce.map.output.compress</strong>: The Map task output can be compressed before it is transmitted over the network. It is a per-job configuration.</li><li id="mrs_01_0844__l8d5bacc1a3ea4180afdf8833cfebfaff"><strong id="mrs_01_0844__b147445132516">mapreduce.map.output.compress.codec</strong>: the codec used for data compression</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="19.860000000000007%" headers="mcps1.3.2.4.2.8.1.3 "><p id="mrs_01_0844__ad957bebdf8ef48488b15b9f4eefd50a8">mapreduce.map.output.compress</p>
+<div class="note" id="mrs_01_0844__n63f5d3a969084e0b8a8e8fb19b9f72d1"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0844__a45ab8141847540409c5d9900040ace0c">You need to set this parameter in the configuration file on the client in the <em id="mrs_01_0844__i167961744142510">Client installation directory</em><strong id="mrs_01_0844__b18797124452520">/HDFS/hadoop/etc/hadoop/mapred-site.xml</strong> path.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="9.830000000000002%" headers="mcps1.3.2.4.2.8.1.4 "><p id="mrs_01_0844__a4a2d200819394e848e3002f0221a36ff">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.500000000000004%" headers="mcps1.3.2.4.2.8.1.5 "><p id="mrs_01_0844__a871b59fd94814c42a56593e6eed3c303">Client</p>
+</td>
+<td class="cellrowborder" rowspan="2" valign="top" width="20.210000000000004%" headers="mcps1.3.2.4.2.8.1.6 "><p id="mrs_01_0844__ac329dab77b9749a2b03c6e0a9d00e56e">The disk I/O is the bottleneck. Therefore, use a compression algorithm with a high compression rate.</p>
+</td>
+<td class="cellrowborder" rowspan="2" valign="top" width="14.970000000000002%" headers="mcps1.3.2.4.2.8.1.7 "><p id="mrs_01_0844__a1e9ab4b6eda144fb89cfbd838e261ecb">Snappy is used. The benchmark test results show that Snappy delivers high performance and efficiency.</p>
+</td>
+</tr>
+<tr id="mrs_01_0844__r6d108916ca2a41d1981191c890b7803f"><td class="cellrowborder" valign="top" headers="mcps1.3.2.4.2.8.1.1 "><p id="mrs_01_0844__a629b95b79f3b4f80934182105f18b1ee">mapreduce.map.output.compress.codec</p>
+<div class="note" id="mrs_01_0844__nf7160ae9bf58469e8378c0cbd8059e29"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0844__acb34f0cd91f14ede9bb5454173820fee">You need to set this parameter in the configuration file on the client in the <em id="mrs_01_0844__i15266188172718">Client installation directory</em><strong id="mrs_01_0844__b112676816279">/HDFS/hadoop/etc/hadoop/mapred-site.xml</strong> path.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.4.2.8.1.2 "><p id="mrs_01_0844__aafdc1927e8d84943ac3eeae9806e5e17">org.apache.hadoop.io.compress.Lz4Codec</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.4.2.8.1.3 "><p id="mrs_01_0844__a6249fc6c49ee422bbc11d02423797d6a">Client</p>
+</td>
+</tr>
+<tr id="mrs_01_0844__r0b285bbbc136476a96408d41455c558e"><td class="cellrowborder" valign="top" width="9.340000000000002%" headers="mcps1.3.2.4.2.8.1.1 "><p id="mrs_01_0844__a2887a4c4f5c449eb87b7dcc9e333d646">Spills</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.290000000000003%" headers="mcps1.3.2.4.2.8.1.2 "><p id="mrs_01_0844__a76325f03953d4338a8d3683eaa7516f7">mapreduce.map.sort.spill.percent</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.860000000000007%" headers="mcps1.3.2.4.2.8.1.3 "><p id="mrs_01_0844__a770c97e1bbcc458c83e456dae1cbfada">mapreduce.map.sort.spill.percent</p>
+<div class="note" id="mrs_01_0844__n7cfe18ad44494bb4b6a83c55123d0b5c"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0844__adf3252b488fb4304b11ac84689b96a1e">You need to set this parameter in the configuration file on the client in the <em id="mrs_01_0844__i16675216202719">Client installation directory</em><strong id="mrs_01_0844__b1668012163275">/HDFS/hadoop/etc/hadoop/mapred-site.xml</strong> path.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="9.830000000000002%" headers="mcps1.3.2.4.2.8.1.4 "><p id="mrs_01_0844__a335393e239524d908fe7f107f90d42fc">0.8</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.500000000000004%" headers="mcps1.3.2.4.2.8.1.5 "><p id="mrs_01_0844__a760267c626d4438a8d98fa7a2ff81a7b">Client</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.210000000000004%" headers="mcps1.3.2.4.2.8.1.6 "><p id="mrs_01_0844__a2cd27386b36e483b9aebc1ded7eda439">Disk I/Os are the bottleneck. You can set the value of <span class="parmname" id="mrs_01_0844__pa0d0c48e54fc4f25bb2a5955e907b19b"><b>mapreduce.task.io.sort.mb</b></span> to minimize the memory spilled to the disk.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.970000000000002%" headers="mcps1.3.2.4.2.8.1.7 "><p id="mrs_01_0844__a0931fb92bbef4d36ba0d2ae5bbbaebea">-</p>
+</td>
+</tr>
+<tr id="mrs_01_0844__r3b81f082e0c6495ab7840c881d0cfcf5"><td class="cellrowborder" valign="top" width="9.340000000000002%" headers="mcps1.3.2.4.2.8.1.1 "><p id="mrs_01_0844__a01d5858d71ad485b8b16efffff9d9a92">Data packet size</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.290000000000003%" headers="mcps1.3.2.4.2.8.1.2 "><p id="mrs_01_0844__a62601a6a911246a89bb1d97e07806f8a">When the HDFS client writes data to a data node, the data will be accumulated until a packet is generated. Then, the packet is transmitted over the network. <strong id="mrs_01_0844__b38820226295">dfs.client-write-packet-size</strong> specifies the data packet size. It can be specified by each job.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.860000000000007%" headers="mcps1.3.2.4.2.8.1.3 "><p id="mrs_01_0844__acfdcdb9ba8654028a118affc56bb5cd9">dfs.client-write-packet-size</p>
+<div class="note" id="mrs_01_0844__n52bf71630c554e749c20888245893d31"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0844__a1ce93ea63569424093fe8cbdf0f4cbdb">You need to set this parameter in the configuration file on the client in the <em id="mrs_01_0844__i913214232915">Client installation directory</em><strong id="mrs_01_0844__b013719427298">/HDFS/hadoop/etc/hadoop/hdfs-site.xml/</strong> path.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="9.830000000000002%" headers="mcps1.3.2.4.2.8.1.4 "><p id="mrs_01_0844__aa6e330aeb8984f99b59b7b483e56535d">262144</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.500000000000004%" headers="mcps1.3.2.4.2.8.1.5 "><p id="mrs_01_0844__af5f74bf167594dc39f213840cbfd0331">Client</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.210000000000004%" headers="mcps1.3.2.4.2.8.1.6 "><p id="mrs_01_0844__a770339e3bcf24d4cbf0c107f17ca72a6">The data node receives data packets from the HDFS client and writes data into disks through single threads. When disks are in the concurrent write state, increasing the data packet size can reduce the disk seek time and improve the I/O performance.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.970000000000002%" headers="mcps1.3.2.4.2.8.1.7 "><p id="mrs_01_0844__a4bfdb628dd194500b1b93377c785fa28">dfs.client-write-packet-size = 262144</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0843.html">MapReduce Performance Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0845.html b/docs/mrs/component-operation-guide/mrs_01_0845.html
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+<a name="mrs_01_0845"></a><a name="mrs_01_0845"></a>
+
+<h1 class="topictitle1">Determining the Job Baseline</h1>
+<div id="body1590130629920"><div class="section" id="mrs_01_0845__sa4f459de31954384b9d785e296f1379d"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0845__af438b4e3523045f7ae2d64fa98c33399">The performance optimization effect is verified by comparing actual values with the baseline data. Therefore, determining optimal job baseline is critical to performance optimization.</p>
+<p id="mrs_01_0845__ac283ee5f76bf4265965c066c8ae8f229">When determining the job baseline, comply with the following rules:</p>
+<ul id="mrs_01_0845__ub9c25f32c0cb403b81936882aa1efa2e"><li id="mrs_01_0845__l6069e636be6e413eb44bb39a1efccd42">Making full use of cluster resources</li><li id="mrs_01_0845__l52b7986ec98a46e68ab94aae5d1d64f8">Setting the number of Map and Reduce tasks appropriately</li><li id="mrs_01_0845__l248febe7d4c24f79a6ae7fee48b33641">Setting the runtime of each task appropriately</li></ul>
+</div>
+<div class="section" id="mrs_01_0845__s8e4f2b5190f245acbd9a1a4a672dca01"><h4 class="sectiontitle">Procedure</h4><ul id="mrs_01_0845__u149f1dabd8d149d99542d76c6dd5e076"><li id="mrs_01_0845__lf11fd0ad55774b0aa7a67a26154d6166"><strong id="mrs_01_0845__b5961626355">Rule 1: Making full use of cluster resources</strong><p id="mrs_01_0845__ac0fa00526e7a46d7a2e9d7e0bcf57794">Enable all nodes to handle tasks as actively as they can when a job is executed. Maximizing the number of concurrent tasks helps make full use of resources. You can achieve this purpose by adjusting the data volume to be processed and the number of Map and Reduce tasks.</p>
+<p id="mrs_01_0845__a2c8482fb35f74fb59c48df413289c9fa">You can set <span class="parmname" id="mrs_01_0845__pdb79a12890714074a495c2e5c0fb52ff"><b>mapreduce.job.reduces</b></span> to control the number of Reduce tasks.</p>
+<p id="mrs_01_0845__a836fc8d244a34f4581613aef1dc5d0dc">The number of Map tasks depends on the InputFormat type and whether the data file to be processed can be split. By default, TextFileInputFormat allocates Map tasks based on the number of blocks, that is, one Map task for each block. You can adjust the following parameters to improve resource utilization.</p>
+<p id="mrs_01_0845__af5c826cd1a1b4224808b3ee0a07e6d90">Parameter portal:</p>
+<p id="mrs_01_0845__p21172338305">On the <strong id="mrs_01_0845__b1881114216307">All Configurations</strong> page of the Yarn service, enter a parameter name in the search box. For details, see <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+<div class="p" id="mrs_01_0845__aaf13039dedc0466fb65a0c2b2a2b89ce">
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0845__t1fdaa74d21cd44a8bfe905cc1b445d26" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_0845__rab509e81db3a440d9c708ca6bc5b1baa"><th align="left" class="cellrowborder" valign="top" width="32.45675432456754%" id="mcps1.3.2.2.1.7.1.1.4.1.1"><p id="mrs_01_0845__a46e2b7e38a9743589fcd82159553a929"><strong id="mrs_01_0845__b0492060382">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="46.865313468653135%" id="mcps1.3.2.2.1.7.1.1.4.1.2"><p id="mrs_01_0845__ab806921a33a8496fa6932eea365759b3"><strong id="mrs_01_0845__b851817710385">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20.677932206779325%" id="mcps1.3.2.2.1.7.1.1.4.1.3"><p id="mrs_01_0845__a030199fa6832431ebf9e61f8bbce860a"><strong id="mrs_01_0845__b19294148143812">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0845__rd1c4fddfd01a4167a2c8b28f77ea166e"><td class="cellrowborder" valign="top" width="32.45675432456754%" headers="mcps1.3.2.2.1.7.1.1.4.1.1 "><p id="mrs_01_0845__a413cac432e134962a8549f833be359be">mapreduce.input.fileinputformat.split.maxsize</p>
+</td>
+<td class="cellrowborder" valign="top" width="46.865313468653135%" headers="mcps1.3.2.2.1.7.1.1.4.1.2 "><p id="mrs_01_0845__a0aa77119424a47478192aa8ab7905c17">Indicates the maximum size of the data block into which the Map input information is to be split.</p>
+<p id="mrs_01_0845__adf87f1384c7045d7a0cd42259ecadf04">The shard size can be calculated based on its size customized by the user and the block size of each file. The formula is as follows:</p>
+<pre class="screen" id="mrs_01_0845__s0c467b01d11f4e929e42deac5049705a">splitSize = Math.max(minSize, Math.min(maxSize, blockSize)) </pre>
+<p id="mrs_01_0845__a3432a2a97db64e7381a2b30c962eac30">If <strong id="mrs_01_0845__b0178190164019">maxSize</strong> is bigger than <strong id="mrs_01_0845__b2053813364015">blockSize</strong>, a block is a shard. If <strong id="mrs_01_0845__b76171913174020">maxSize</strong> is smaller than <strong id="mrs_01_0845__b190171664020">blockSize</strong>, a block will be split into multiple shards. If the size of the remaining data in a block is smaller than <strong id="mrs_01_0845__b8328933154018">splitSize</strong>, the remaining data will be treated as a separated shard.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.677932206779325%" headers="mcps1.3.2.2.1.7.1.1.4.1.3 "><p id="mrs_01_0845__a0cd9c63f3d984c84a81049a9a8c06342">-</p>
+</td>
+</tr>
+<tr id="mrs_01_0845__rf6783edd01e74a2986bc76c465d45abb"><td class="cellrowborder" valign="top" width="32.45675432456754%" headers="mcps1.3.2.2.1.7.1.1.4.1.1 "><p id="mrs_01_0845__ab375cb026ccb43de8bed43111b93eed5">mapreduce.input.fileinputformat.split.minsize</p>
+</td>
+<td class="cellrowborder" valign="top" width="46.865313468653135%" headers="mcps1.3.2.2.1.7.1.1.4.1.2 "><p id="mrs_01_0845__af1a4074ec90a4891ac23af0d197c05c2">Indicates the minimum size of a data shard.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.677932206779325%" headers="mcps1.3.2.2.1.7.1.1.4.1.3 "><p id="mrs_01_0845__a9c7deca3bf4a4f21ae201e9bbe89b97a">0</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</li><li id="mrs_01_0845__ldd76e26b3a22407aa6add8c2b9b4f04f"><strong id="mrs_01_0845__b1922882611252">Principle 2: Setting Reduce tasks to be executed in one round.</strong><div class="p" id="mrs_01_0845__a2c796d32239b4037b47fd32668afa655">Avoid the following scenarios:<ul id="mrs_01_0845__u8bf32dc0f40247968f3b8bf47f10b4f7"><li id="mrs_01_0845__lc23cd83d6d0a4be69b2172b06009f729">Most of Reduce tasks are completed in the first round, but there is still one Reduce task left running. The execution of the last Reduce task extends the runtime of the job. Therefore, reduce the number of Reduce tasks to enable all of them to run at the same time.</li><li id="mrs_01_0845__l06a525717ca743b19e49dfb6a6f74737">All Map tasks are completed, but there are still Reduce tasks running on some nodes. In this case, the cluster resources are not fully utilized. You need to increase the number of Reduce tasks to enable each node to handle tasks.</li></ul>
+</div>
+</li><li id="mrs_01_0845__lacb9361ccda6487eaf15cc3234838c00"><strong id="mrs_01_0845__b15613176104612">Rule 3: Setting the runtime of each task appropriately</strong><p id="mrs_01_0845__aa730c8114b6542a988faf9c0582f79e6">If each Map or Reduce task of a job takes only a few seconds, most time of the job is wasted on scheduling tasks and starting and stopping processes. Therefore, you need to increase the data volume to be processed in each task. The preferred processing time for each task is 1 minute.</p>
+<p id="mrs_01_0845__a6740e5f3e89041ae8022f5406a4bc8a1">You can configure the following parameters to adjust the processing time in a task.</p>
+<p id="mrs_01_0845__ae42aeb352acd45e68855dc720ca0e855">Parameter portal:</p>
+<p id="mrs_01_0845__p1310031122110">On the <strong id="mrs_01_0845__b53299216312">All Configurations</strong> page of the Yarn service, enter a parameter name in the search box. For details, see <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0845__t058361be06a9477988dd788992b80534" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_0845__rfd00603820334393a85af8dbea6e0ada"><th align="left" class="cellrowborder" valign="top" width="32.45675432456754%" id="mcps1.3.2.2.3.6.1.4.1.1"><p id="mrs_01_0845__a7a5ad1eb288f4dc798caa4cceacbd270"><strong id="mrs_01_0845__b276424811357">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="46.865313468653135%" id="mcps1.3.2.2.3.6.1.4.1.2"><p id="mrs_01_0845__a177b4fcc9d044649bb60c68c02ab6b9b"><strong id="mrs_01_0845__b769824918354">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20.677932206779325%" id="mcps1.3.2.2.3.6.1.4.1.3"><p id="mrs_01_0845__a84e00d47148f46a7b41c8494f34c08a9"><strong id="mrs_01_0845__b14969350203518">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0845__r266d3f6f3e0c4283aab10b808f1293a7"><td class="cellrowborder" valign="top" width="32.45675432456754%" headers="mcps1.3.2.2.3.6.1.4.1.1 "><p id="mrs_01_0845__a744b0637cc9d4be28090c34f813a873f">mapreduce.input.fileinputformat.split.maxsize</p>
+</td>
+<td class="cellrowborder" valign="top" width="46.865313468653135%" headers="mcps1.3.2.2.3.6.1.4.1.2 "><p id="mrs_01_0845__a44292d3ad78c449998786dd239343c2e">Indicates the maximum size of the data block into which the Map input information is to be split.</p>
+<p id="mrs_01_0845__a98bc4115ef6b42008c4218c94a089ef8">The shard size can be calculated based on its size customized by the user and the block size of each file. The formula is as follows:</p>
+<pre class="screen" id="mrs_01_0845__s6cbcebfb07aa4f259157760ff753c504">splitSize = Math.max(minSize, Math.min(maxSize, blockSize)) </pre>
+<p id="mrs_01_0845__a061f7f534bfa4f2a843bdba5637138af">If <strong id="mrs_01_0845__b9931535363">maxSize</strong> is bigger than <strong id="mrs_01_0845__b1981732362">blockSize</strong>, a block is a shard. If <strong id="mrs_01_0845__b1698231367">maxSize</strong> is smaller than <strong id="mrs_01_0845__b19919373614">blockSize</strong>, a block will be split into multiple shards. If the size of the remaining data in a block is smaller than <strong id="mrs_01_0845__b18997393619">splitSize</strong>, the remaining data will be treated as a separated shard.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.677932206779325%" headers="mcps1.3.2.2.3.6.1.4.1.3 "><p id="mrs_01_0845__a73cda5f36fe64ed5b20719f40342800a">-</p>
+</td>
+</tr>
+<tr id="mrs_01_0845__r1bc8d37b1f9f4d66960d7d7a0b48373e"><td class="cellrowborder" valign="top" width="32.45675432456754%" headers="mcps1.3.2.2.3.6.1.4.1.1 "><p id="mrs_01_0845__a224707b810104f9bb386beafd4f1cc9a">mapreduce.input.fileinputformat.split.minsize</p>
+</td>
+<td class="cellrowborder" valign="top" width="46.865313468653135%" headers="mcps1.3.2.2.3.6.1.4.1.2 "><p id="mrs_01_0845__a5467ffc4114e43ac89935efa76e2e69f">Indicates the minimum size of a data shard.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.677932206779325%" headers="mcps1.3.2.2.3.6.1.4.1.3 "><p id="mrs_01_0845__a4a031ef95cf5455790fce5b4cceba325">0</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0843.html">MapReduce Performance Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0846.html b/docs/mrs/component-operation-guide/mrs_01_0846.html
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@@ -0,0 +1,115 @@
+<a name="mrs_01_0846"></a><a name="mrs_01_0846"></a>
+
+<h1 class="topictitle1">Streamlining Shuffle</h1>
+<div id="body1590130630208"><div class="section" id="mrs_01_0846__s0161b645faa5496b89d39e3bc910875e"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0846__a41de75a91a7142dfaf9bb2c64886a913">During the shuffle procedure of MapReduce, the Map task writes intermediate data into disks, and the Reduce task copies and adds the data to the reduce function. Hadoop provides lots of parameters for the optimization.</p>
+<div class="fignone" id="mrs_01_0846__f68ee78d0fb8446b88dc19d795494d787"><span class="figcap"><b>Figure 1 </b>Shuffle process</span><br><span><img id="mrs_01_0846__i7854bcb14e774b01b404f6f99c9e30eb" src="en-us_image_0000001296090196.png"></span></div>
+</div>
+<div class="section" id="mrs_01_0846__s58a2f6eb0328489a986838d1528b1b01"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0846__o832079458df44d149a023cfe8e159720"><li id="mrs_01_0846__l22c396657adf4a3996ae17cde15a0869"><strong id="mrs_01_0846__b18612457193815">Improving Performance in Map Phase</strong><ul id="mrs_01_0846__ud1eeb57be84f4f11823698e0131852dc"><li id="mrs_01_0846__l075810bbe8b940c7adfc39a201863a87">Determine the memory used by Map.<p id="mrs_01_0846__ab7837d8edcb2418783cc7fd48f5a46e0"><a name="mrs_01_0846__l075810bbe8b940c7adfc39a201863a87"></a><a name="l075810bbe8b940c7adfc39a201863a87"></a>To determine whether Map has sufficient memory, check the number of GCs and the ratio of the GC time over the total task time in counters of completed jobs. Normally, the GC time cannot exceed 10% of the task time (that is, GC time elapsed (ms)/CPU time spent (ms) &lt; 10%).</p>
+<p id="mrs_01_0846__a66497a90f2d944aa8299e44d2063e726">You can improve Map performance by adjusting the following parameters.</p>
+<p id="mrs_01_0846__a569d28d9c08341b3a64c1acee4e79f7e">Parameter portal:</p>
+<p id="mrs_01_0846__p21172338305">On the <strong id="mrs_01_0846__b3271738143114">All Configurations</strong> page of the Yarn service, enter a parameter name in the search box. For details, see <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0846__t304f44b9a2f74e31ba41599976e2cdbc" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0846__r72ed87c182984165b4d5d71e9ea1e3b4"><th align="left" class="cellrowborder" valign="top" width="32.46%" id="mcps1.3.2.2.1.2.1.5.2.4.1.1"><p id="mrs_01_0846__a842d63e559a84e96891b8f6d2da660ef"><strong id="mrs_01_0846__b99399409403">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="37.28%" id="mcps1.3.2.2.1.2.1.5.2.4.1.2"><p id="mrs_01_0846__a997a3e9f29d84c15a7bfd0d3d5b86046"><strong id="mrs_01_0846__b773519417401">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="30.259999999999998%" id="mcps1.3.2.2.1.2.1.5.2.4.1.3"><p id="mrs_01_0846__a753207d2db244a68a8da1567825f4d68"><strong id="mrs_01_0846__b6535134219406">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0846__rb4c81ca7aa5f47a498bfd357f0445c2b"><td class="cellrowborder" valign="top" width="32.46%" headers="mcps1.3.2.2.1.2.1.5.2.4.1.1 "><p id="mrs_01_0846__a9673409cebcd4560a9d60d0050e04663">mapreduce.map.memory.mb</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.28%" headers="mcps1.3.2.2.1.2.1.5.2.4.1.2 "><p id="mrs_01_0846__a5865b8c1a60143bc98bbb6cb055bd2ae">Memory restriction of a Map task.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30.259999999999998%" headers="mcps1.3.2.2.1.2.1.5.2.4.1.3 "><p id="mrs_01_0846__p840312176179">4096</p>
+</td>
+</tr>
+<tr id="mrs_01_0846__re408f06b29984fabae82594b4251c6b9"><td class="cellrowborder" valign="top" width="32.46%" headers="mcps1.3.2.2.1.2.1.5.2.4.1.1 "><p id="mrs_01_0846__a352e85c37071487781a3deecd57516ba">mapreduce.map.java.opts</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.28%" headers="mcps1.3.2.2.1.2.1.5.2.4.1.2 "><p id="mrs_01_0846__a2239c4d9b14d4e109423f4b071227d8f">JVM parameter of the Map subtask. If this parameter is set, it will replace the <strong id="mrs_01_0846__b1528413913812">mapred.child.java.opts</strong> parameter. If <strong id="mrs_01_0846__b941044483814">-Xmx</strong> is not set, the value of <strong id="mrs_01_0846__b1061084963815">Xmx</strong> is calculated based on <strong id="mrs_01_0846__b186744514118">mapreduce.map.memory.mb</strong> and <strong id="mrs_01_0846__b75616102411">mapreduce.job.heap.memory-mb.ratio</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30.259999999999998%" headers="mcps1.3.2.2.1.2.1.5.2.4.1.3 "><p id="mrs_01_0846__p3706175216241">For versions earlier than MRS 3.<em id="mrs_01_0846__i5915991586">x</em>: -Xmx2048M -Djava.net.preferIPv4Stack=true</p>
+<p id="mrs_01_0846__p9797811268">For MRS cluster 3.<em id="mrs_01_0846__i667217310313">x</em> and later versions:</p>
+<ul id="mrs_01_0846__ul193392038162210"><li id="mrs_01_0846__li2034023832212">Clusters with Kerberos authentication enabled: -Djava.net.preferIPv4Stack=true -Djava.net.preferIPv6Addresses=false -Djava.security.krb5.conf=<em id="mrs_01_0846__i363334117187">${BIGDATA_HOME}</em>/common/runtime/krb5.conf -Dbeetle.application.home.path=<em id="mrs_01_0846__i1741024617183">${BIGDATA_HOME}/</em>common/runtime/security/config</li><li id="mrs_01_0846__li2899184062210">Clusters with Kerberos authentication disabled: -Djava.net.preferIPv4Stack=true -Djava.net.preferIPv6Addresses=false -Dbeetle.application.home.path=<em id="mrs_01_0846__i76326289715">${BIGDATA_HOME}</em>/common/runtime/security/config</li></ul>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_0846__a0234604bb3134965a2a8d734ff2cfbff">It is recommended that the <span class="parmvalue" id="mrs_01_0846__pf57258e2c7a549fd85d3d2d33310c67e"><b>-Xmx</b></span> in <span class="parmname" id="mrs_01_0846__p0f4e8ab91c4e4c9dbbd8d92d80ad7691"><b>mapreduce.map.java.opts</b></span> is 0.8 times the value of <span class="parmname" id="mrs_01_0846__p66811a8a75e840e59e810fd5236124dd"><b>mapreduce.map.memory.mb</b></span>.</p>
+</li><li id="mrs_01_0846__l3ea61254b3864185a8040254428c1c7b">Using Combiner<p id="mrs_01_0846__a6100a0a06eb3402aa79eaa78a17007a2"><a name="mrs_01_0846__l3ea61254b3864185a8040254428c1c7b"></a><a name="l3ea61254b3864185a8040254428c1c7b"></a>Combiner is an optional procedure in the Map phase, in which the intermediate results with the same key value are combined. Generally, set the reduce class to combiner. Combiner helps reduce the intermediate result output of Map, thereby consuming less network bandwidth during the shuffle process. You can use the following API to set a combiner class for a specific job.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0846__tde0b764997f441c486bae951cbdd63b5" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Combiner API</caption><thead align="left"><tr id="mrs_01_0846__r6df4365abb444d9a92a61124cf5ea87c"><th align="left" class="cellrowborder" valign="top" width="32.769999999999996%" id="mcps1.3.2.2.1.2.2.2.2.4.1.1"><p id="mrs_01_0846__a9eb6cc48ad0d412fb03ca0d6504dc741"><strong id="mrs_01_0846__b10832938114212">Class</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="46.68%" id="mcps1.3.2.2.1.2.2.2.2.4.1.2"><p id="mrs_01_0846__a6cc88ae5da954c62b2d6743680b987d4"><strong id="mrs_01_0846__b4474184134215">API</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20.549999999999997%" id="mcps1.3.2.2.1.2.2.2.2.4.1.3"><p id="mrs_01_0846__a4011aafb3ea74c17b13b744f86f7b9da"><strong id="mrs_01_0846__b11905242134219">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0846__r9a108ebec23c4f8fadd2238a0a060ca9"><td class="cellrowborder" valign="top" width="32.769999999999996%" headers="mcps1.3.2.2.1.2.2.2.2.4.1.1 "><p id="mrs_01_0846__a8350a186b0c44ace80d9ffcb8bc39057">org.apache.hadoop.mapreduce.Job</p>
+</td>
+<td class="cellrowborder" valign="top" width="46.68%" headers="mcps1.3.2.2.1.2.2.2.2.4.1.2 "><p id="mrs_01_0846__abe06e6420d3e44dfbec4ebd65c0cf2fc">public void setCombinerClass(Class&lt;? extends Reducer&gt; cls)</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.549999999999997%" headers="mcps1.3.2.2.1.2.2.2.2.4.1.3 "><p id="mrs_01_0846__ad9f66bb88dab467b9fa6e4506deddeec">API used to set a combiner class for a specific job.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+</li><li id="mrs_01_0846__l49a23c95c5df4751b5487fa9d019e138"><strong id="mrs_01_0846__b4908195274315">Improving Performance in Copy Phase</strong><ul id="mrs_01_0846__ud64713b16f6443f081804121dea83131"><li id="mrs_01_0846__l9707ff8d035541cd9106601d78f86907">Compress data.<p id="mrs_01_0846__ad3f44acff2264e9ebc5f29cc52e98e61"><a name="mrs_01_0846__l9707ff8d035541cd9106601d78f86907"></a><a name="l9707ff8d035541cd9106601d78f86907"></a>Compress the intermediate output of Map. Data compression reduces the data to be transferred over the network. However, data compression and decompression consume more CPU. Determine whether to compress the intermediate results of Map based on site requirements. If a task is bandwidth-intensive, data compression improves processing performance. As for the bulkload optimization, compression of the intermediate output improves the performance by 60%.</p>
+<p id="mrs_01_0846__ae3615bde903641eea6f097130af50ccc">To improve copy performance, set <span class="parmname" id="mrs_01_0846__p9dbb983047044353928beb0a799ccc61"><b>mapreduce.map.output.compress</b></span> to <span class="parmvalue" id="mrs_01_0846__pf9215fb00ae141148c564df373215845"><b>true</b></span> and <span class="parmname" id="mrs_01_0846__p0688abbd76f14384b41e4c497f5cee9d"><b>mapreduce.map.output.compress.codec</b></span> to <span class="parmvalue" id="mrs_01_0846__p3a3414261df44947a8771cbebceeff2a"><b>org.apache.hadoop.io.compress.SnappyCodec</b></span>.</p>
+</li></ul>
+</li><li id="mrs_01_0846__l9854fc23fcce49228ad1160d82aa6636"><strong id="mrs_01_0846__b13423171478">Improving Performance in Merge Phase</strong><p id="mrs_01_0846__ad2b6f904cd95437496a645151dd20fba">To improve merge performance, configure the following parameters to reduce the number of times that Reduce writes data to disks.</p>
+<p id="mrs_01_0846__a66f02f1657dc447a84e5806575576a18">Parameter portal:</p>
+<p id="mrs_01_0846__p139709455225">On the <strong id="mrs_01_0846__b6697151513217">All Configurations</strong> page of the Yarn service, enter a parameter name in the search box. For details, see <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0846__t885ccbc205b54c9ca0c60dce2067000e" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0846__r7a6e5aad153d4463827fc82195c7dc7c"><th align="left" class="cellrowborder" valign="top" width="33.33%" id="mcps1.3.2.2.3.5.2.4.1.1"><p id="mrs_01_0846__a348b414450f74b679fa83897870a4fca"><strong id="mrs_01_0846__b446114237483">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="43.11%" id="mcps1.3.2.2.3.5.2.4.1.2"><p id="mrs_01_0846__a7335a4eb9fb94841b058ad55a590f7ee"><strong id="mrs_01_0846__b18282182404814">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="23.56%" id="mcps1.3.2.2.3.5.2.4.1.3"><p id="mrs_01_0846__ac1333f7b6114451bbe0b089dd459616a"><strong id="mrs_01_0846__b20934256487">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0846__r84072cd8659b4e42a67ec5b8997c15e3"><td class="cellrowborder" valign="top" width="33.33%" headers="mcps1.3.2.2.3.5.2.4.1.1 "><p id="mrs_01_0846__a8e5721311fcb41c0aac594cc72f65c94">mapreduce.reduce.merge.inmem.threshold</p>
+</td>
+<td class="cellrowborder" valign="top" width="43.11%" headers="mcps1.3.2.2.3.5.2.4.1.2 "><p id="mrs_01_0846__p6570103875013">Threshold of the number of files for the in-memory merge process. When the accumulated number of files reaches the threshold, the process of in-memory merge and spilling to disks is initiated. If the value is less than or equal to <strong id="mrs_01_0846__b187601228509">0</strong>, the threshold does not take effect and the merge is triggered only based on the RAMFS memory usage.</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.56%" headers="mcps1.3.2.2.3.5.2.4.1.3 "><p id="mrs_01_0846__a43fa14e5762d4d548f034c744394b490">1000</p>
+</td>
+</tr>
+<tr id="mrs_01_0846__r65a77548534d46b0ba881185d5db2f8d"><td class="cellrowborder" valign="top" width="33.33%" headers="mcps1.3.2.2.3.5.2.4.1.1 "><p id="mrs_01_0846__ae36b1ac4207b45f8ab2dc8df9e1dd60e">mapreduce.reduce.shuffle.merge.percent</p>
+</td>
+<td class="cellrowborder" valign="top" width="43.11%" headers="mcps1.3.2.2.3.5.2.4.1.2 "><p id="mrs_01_0846__p155701938185016">Usage threshold for initiating in-memory merge, indicating the percentage of memory allocated to the Map outputs (defined by <strong id="mrs_01_0846__b178931141531">mapreduce.reduce.shuffle.input.buffer.percent</strong>).</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.56%" headers="mcps1.3.2.2.3.5.2.4.1.3 "><p id="mrs_01_0846__ad09031789f514c2f9b661d4f1ae24d94">0.66</p>
+</td>
+</tr>
+<tr id="mrs_01_0846__r7b2cdd4e4b1b42ba9e5283bc734e5537"><td class="cellrowborder" valign="top" width="33.33%" headers="mcps1.3.2.2.3.5.2.4.1.1 "><p id="mrs_01_0846__ad95b643918774670b5cb3860b42d6dae">mapreduce.reduce.shuffle.input.buffer.percent</p>
+</td>
+<td class="cellrowborder" valign="top" width="43.11%" headers="mcps1.3.2.2.3.5.2.4.1.2 "><p id="mrs_01_0846__p195711638195017">Percentage of memory to be allocated from the maximum heap size to storing Map outputs during the Shuffle.</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.56%" headers="mcps1.3.2.2.3.5.2.4.1.3 "><p id="mrs_01_0846__a327e7c5613c34e80ab67ce161b78f45c">0.70</p>
+</td>
+</tr>
+<tr id="mrs_01_0846__r7d3b31eb91c4499f83bb90beee911515"><td class="cellrowborder" valign="top" width="33.33%" headers="mcps1.3.2.2.3.5.2.4.1.1 "><p id="mrs_01_0846__a2c6923646d1049d7ab9584870b78512f">mapreduce.reduce.input.buffer.percent</p>
+</td>
+<td class="cellrowborder" valign="top" width="43.11%" headers="mcps1.3.2.2.3.5.2.4.1.2 "><p id="mrs_01_0846__p105711738155012">Percentage of memory (relative to the maximum heap size) to retain Map outputs during the Reduce. When the Shuffle is completed, all remaining Map outputs in memory must use less than this threshold before the Reduce begins.</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.56%" headers="mcps1.3.2.2.3.5.2.4.1.3 "><p id="mrs_01_0846__a413534821477466fb2e86f8c44cbf85d">0.0</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0843.html">MapReduce Performance Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0847.html b/docs/mrs/component-operation-guide/mrs_01_0847.html
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+<a name="mrs_01_0847"></a><a name="mrs_01_0847"></a>
+
+<h1 class="topictitle1">AM Optimization for Big Tasks</h1>
+<div id="body1590130630211"><div class="section" id="mrs_01_0847__sad1e4f844e2f4636a8fcaa459f68b7bf"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0847__ab6177157edc14464b299ed2107d91d2a">A big job containing 100,000 Map tasks fails. It is found that the failure is triggered by the slow response of ApplicationMaster (AM).</p>
+</div>
+<p id="mrs_01_0847__a3075ee5941f6452d9a36e18b7870c511">When the number of tasks increases, the number of objects managed by the AM increases, which requires much more memory for management. The default memory heap for AM is 1 GB.</p>
+<div class="section" id="mrs_01_0847__s3db30605cd8c4e038d7c2fece830cf20"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_0847__a259be26b03e04b20bd7330fa11029199">You can improve the AM performance by setting the following parameters.</p>
+<p id="mrs_01_0847__a961742942d4d470485a8230b4ac5a0b5">Navigation path for setting parameters:</p>
+<p id="mrs_01_0847__p9481953124">Adjust the following parameters in the <strong id="mrs_01_0847__b1517554614380">mapred-site.xml</strong> configuration file on the client to adjust the following parameters: The <strong id="mrs_01_0847__b16884305395">mapred-site.xml</strong> configuration file is in the <strong id="mrs_01_0847__b794352120394">conf</strong> directory of the client installation path, for example, <strong id="mrs_01_0847__b1985720392">/opt/</strong><strong id="mrs_01_0847__b169812711399"></strong><strong id="mrs_01_0847__b20983715395">client/Yarn/config</strong>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0847__t81f211b2f40b4e79b7b48ec1a58d8f66" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_0847__rda63c82ae8cf472a89a34e8bb38b6143"><th align="left" class="cellrowborder" valign="top" width="25.31%" id="mcps1.3.3.5.1.4.1.1"><p id="mrs_01_0847__adf61c38a2f8d4d59b9945f47c37b78db"><strong id="mrs_01_0847__b1084912018101">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="28.26%" id="mcps1.3.3.5.1.4.1.2"><p id="mrs_01_0847__a017c25f5bf4a480182b8d292aebc1349"><strong id="mrs_01_0847__b196904113102">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="46.43%" id="mcps1.3.3.5.1.4.1.3"><p id="mrs_01_0847__aa56d98ac3d524dd19c2966380c1afe19"><strong id="mrs_01_0847__b104861925103">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0847__rf232fd61ec434e30a60b170c660c9511"><td class="cellrowborder" valign="top" width="25.31%" headers="mcps1.3.3.5.1.4.1.1 "><p id="mrs_01_0847__a240308eb9c584ab99d992a3bdea2a901">yarn.app.mapreduce.am.resource.mb</p>
+</td>
+<td class="cellrowborder" valign="top" width="28.26%" headers="mcps1.3.3.5.1.4.1.2 "><p id="mrs_01_0847__aa2eba3898a614bedb3d8c976f454fd6b">This parameter must be greater than the heap size specified by <strong id="mrs_01_0847__b16558553181016">yarn.app.mapreduce.am.command-opts</strong>. Unit: MB</p>
+</td>
+<td class="cellrowborder" valign="top" width="46.43%" headers="mcps1.3.3.5.1.4.1.3 "><p id="mrs_01_0847__ae29298e871fb49688edc73f9eb111457">1536</p>
+</td>
+</tr>
+<tr id="mrs_01_0847__rd035be4617ae4d759a07ee9e3c09e3cb"><td class="cellrowborder" valign="top" width="25.31%" headers="mcps1.3.3.5.1.4.1.1 "><p id="mrs_01_0847__a071848657e2b45a6935c9a9bdb116751">yarn.app.mapreduce.am.command-opts</p>
+</td>
+<td class="cellrowborder" valign="top" width="28.26%" headers="mcps1.3.3.5.1.4.1.2 "><p id="mrs_01_0847__a488e4822d7334a1a8e5a421a4f47d91b">Indicates the JVM startup parameters loaded to MapReduce ApplicationMaster.</p>
+</td>
+<td class="cellrowborder" valign="top" width="46.43%" headers="mcps1.3.3.5.1.4.1.3 "><p id="mrs_01_0847__p546561016178">For versions earlier than MRS 3.x: -Xmx1024m -XX:CMSFullGCsBeforeCompaction=1 -XX:+UseConcMarkSweepGC -XX:+CMSParallelRemarkEnabled -XX:+UseCMSCompactAtFullCollection -verbose:gc</p>
+<p id="mrs_01_0847__p840312176179">MRS 3.x or later: -Xmx1024m -XX:+UseConcMarkSweepGC -XX:+CMSParallelRemarkEnabled -verbose:gc -Djava.security.krb5.conf=${KRB5_CONFIG} -Dhadoop.home.dir=<em id="mrs_01_0847__i797567113511">${BIGDATA_HOME}</em>/FusionInsight_HD_<em id="mrs_01_0847__i049416228339">xxx</em>/install/FusionInsight-Hadoop-<em id="mrs_01_0847__i462913318338">xxx</em>/hadoop</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0843.html">MapReduce Performance Tuning</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_0848"></a><a name="mrs_01_0848"></a>
+
+<h1 class="topictitle1">Speculative Execution</h1>
+<div id="body1590130630213"><div class="section" id="mrs_01_0848__sa326bbb79104456189573e739aab283f"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0848__ac2cb066bdab849859ff751464e5baf01">If a cluster has hundreds or thousands of nodes, the hardware or software fault of a node may prolong the execution time of the entire task (as most tasks are already completed, the system is still waiting for the task running on the faulty node). Speculative execution allows a task to be executed on multiple machines. You can disable speculative execution for small clusters.</p>
+</div>
+<div class="section" id="mrs_01_0848__s0ff3eba98c364304a9ce2f51b35eb4f6"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_0848__ab90aa7b1a33447c087187ddae1d072ea">Navigation path for setting parameters:</p>
+<p id="mrs_01_0848__p139709455225">On the <strong id="mrs_01_0848__b113766154012">All Configurations</strong> page of the Yarn service, enter a parameter name in the search box. For details, see <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0848__t6b2d520e110c4c6c8cdbefa4198c02f9" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_0848__rb438328302d54f7a92b610e383a6ff64"><th align="left" class="cellrowborder" valign="top" width="32.45675432456754%" id="mcps1.3.2.4.1.4.1.1"><p id="mrs_01_0848__a18488cf95a31430699ac8f92da1b5cb9"><strong id="mrs_01_0848__b822163481513">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="46.865313468653135%" id="mcps1.3.2.4.1.4.1.2"><p id="mrs_01_0848__a0c3f72011ae84834a37111b0c62bc9d1"><strong id="mrs_01_0848__b1875413412156">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20.677932206779325%" id="mcps1.3.2.4.1.4.1.3"><p id="mrs_01_0848__af127a8ad844648faa7ab35fe8ada319f"><strong id="mrs_01_0848__b177012035101517">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0848__r96a4714fbb0742479d5e4a414d9c1d33"><td class="cellrowborder" valign="top" width="32.45675432456754%" headers="mcps1.3.2.4.1.4.1.1 "><p id="mrs_01_0848__aa99a5283e80b4f35a642f6863cec75ef">mapreduce.map.speculative</p>
+</td>
+<td class="cellrowborder" valign="top" width="46.865313468653135%" headers="mcps1.3.2.4.1.4.1.2 "><p id="mrs_01_0848__a9815ab7a4e584f66ac3aeb1924c1bc15">Sets whether to execute multiple instances of some map tasks concurrently. <strong id="mrs_01_0848__b01189861616">true</strong> indicates that speculative execution is enabled.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.677932206779325%" headers="mcps1.3.2.4.1.4.1.3 "><p id="mrs_01_0848__a648110aa56d04e30a3ad8820f784b11b">false</p>
+</td>
+</tr>
+<tr id="mrs_01_0848__rb6bf72f8850b44f5b4a5edc36b7dc8b1"><td class="cellrowborder" valign="top" width="32.45675432456754%" headers="mcps1.3.2.4.1.4.1.1 "><p id="mrs_01_0848__a848562c7a9484e2e8527e84125f8365f">mapreduce.reduce.speculative</p>
+</td>
+<td class="cellrowborder" valign="top" width="46.865313468653135%" headers="mcps1.3.2.4.1.4.1.2 "><p id="mrs_01_0848__a071bd002a8a342d0858885865f942bff">Sets whether to execute multiple instances of some reduce tasks concurrently. <strong id="mrs_01_0848__b132376255168">true</strong> indicates that speculative execution is enabled.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.677932206779325%" headers="mcps1.3.2.4.1.4.1.3 "><p id="mrs_01_0848__abf676bc1cd1f4699a9fb735216d6c1e6">false</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0843.html">MapReduce Performance Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0849.html b/docs/mrs/component-operation-guide/mrs_01_0849.html
new file mode 100644
index 000000000..f3ad557bf
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0849.html
@@ -0,0 +1,34 @@
+<a name="mrs_01_0849"></a><a name="mrs_01_0849"></a>
+
+<h1 class="topictitle1">Using Slow Start</h1>
+<div id="body1590130630215"><div class="section" id="mrs_01_0849__se862d6d5b3ed406e97eac23949a38975"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0849__a85e965232e9d44c096f7baff795c2a83">The Slow Start feature specifies the proportion of Map tasks to be completed before Reduce tasks are started. If the Reduce tasks are started too early, resources will be occupied, thereby reducing task running efficiency. However, if the Reduce tasks are started at an appropriate time, resource usage during shuffle and task running efficiency will be improved. For example, the MapReduce job includes 15 Map tasks and a cluster can start 10 Map tasks, there are 5 Map tasks remained after a round of Map tasks is completed and the cluster has available resources. In this case, you can configure the value of Slow Start to a value less than 1 (for example, 0.8), then the Reduce tasks can make use of the remaining cluster resources.</p>
+</div>
+<div class="section" id="mrs_01_0849__sa4452b10affd4e94b0926d242306273b"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_0849__a6a6b3cdcd8284af3b62e10546f25ab59">Parameter portal:</p>
+<p id="mrs_01_0849__p139709455225">On the <strong id="mrs_01_0849__b11625195110409">All Configurations</strong> page of the MapReduce service, enter a parameter name in the search box. For details, see <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0849__t6c7f7cbf6b714d58baeaed2315522426" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_0849__r365f37f865454493b36f05addedb9892"><th align="left" class="cellrowborder" valign="top" width="32.45675432456754%" id="mcps1.3.2.4.1.4.1.1"><p id="mrs_01_0849__a317be48688fe446e8c58eab936cfa2b2"><strong id="mrs_01_0849__b2525178152216">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="46.865313468653135%" id="mcps1.3.2.4.1.4.1.2"><p id="mrs_01_0849__ab86fe9361f634597b3c3800d26379377"><strong id="mrs_01_0849__b15370129142215">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20.677932206779325%" id="mcps1.3.2.4.1.4.1.3"><p id="mrs_01_0849__ad374b20e573c4691b6206427d1f806ae"><strong id="mrs_01_0849__b17135151082216">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0849__r1b2b0a94e91743aba29a8631414f6304"><td class="cellrowborder" valign="top" width="32.45675432456754%" headers="mcps1.3.2.4.1.4.1.1 "><p id="mrs_01_0849__a5c269ea11dcb42aaa43faa760eec0830">mapreduce.job.reduce.slowstart.completedmaps</p>
+</td>
+<td class="cellrowborder" valign="top" width="46.865313468653135%" headers="mcps1.3.2.4.1.4.1.2 "><p id="mrs_01_0849__a990e2993ebde4232a8a20eb7c4be8410">Fraction of the number of Maps in the job which should be completed before Reduces are scheduled for the job. By default, the Reduce tasks start when all the Map tasks are completed.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.677932206779325%" headers="mcps1.3.2.4.1.4.1.3 "><p id="mrs_01_0849__a1a19decc7413443e95e43a7f028dfddf">1.0</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0843.html">MapReduce Performance Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0850.html b/docs/mrs/component-operation-guide/mrs_01_0850.html
new file mode 100644
index 000000000..7433ef9db
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0850.html
@@ -0,0 +1,37 @@
+<a name="mrs_01_0850"></a><a name="mrs_01_0850"></a>
+
+<h1 class="topictitle1">Optimizing Performance for Committing MR Jobs</h1>
+<div id="body1590130630218"><div class="section" id="mrs_01_0850__s88178fadea7f4f75a47f1ce875f1f9d6"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0850__a484f19f724474d0c8e45574b3eb4c92d">By default, if an MR job generates a large number of output files, it takes a long time for the job to commit the temporary outputs of a task to the final output directory in the commit phase. In large clusters, the time-consuming commit process of jobs greatly affects the performance.</p>
+<p id="mrs_01_0850__a4cd84e668b42474cb692496a51ca5255">In this case, you can set the <span class="parmname" id="mrs_01_0850__pcebce47d233549028b06295db7968603"><b>mapreduce.fileoutputcommitter.algorithm.version</b></span> to <span class="parmvalue" id="mrs_01_0850__p7308dfc9cc3e4b74822ead4a120f97bf"><b>2</b></span> to improve the performance in the commit phase of MR jobs.</p>
+</div>
+<div class="section" id="mrs_01_0850__s6ce45ca588b9483e9becf3cdba72b88c"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_0850__a7da0596c2f0b4a85a8ab64412f78cfa9">Navigation path for setting parameters:</p>
+<p id="mrs_01_0850__p139709455225">On the <strong id="mrs_01_0850__b1437019254416">All Configurations</strong> page of the Yarn service, enter a parameter name in the search box. For details, see <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0850__td3c8ab11f2a44ebe83537e6632f53bb2" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0850__r3795b61fe8f548769634e0eaa89c194f"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.4.2.4.1.1"><p id="mrs_01_0850__a6190b38f360d45bf8edeb8023e834de2"><strong id="mrs_01_0850__b466519214263">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.4.2.4.1.2"><p id="mrs_01_0850__a8f547a2d56064272a7380b04d0423402"><strong id="mrs_01_0850__b14482103102620">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.4.2.4.1.3"><p id="mrs_01_0850__ac1bfb178b67e46adafdf130b8db0e601"><strong id="mrs_01_0850__b10309341267">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0850__r1f66bce2593b4e439c898d3dbfed7513"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_0850__a12efb75ca5a34b4fa18dbd293b316d85">mapreduce.fileoutputcommitter.algorithm.version</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_0850__a32910e360359497e966b4650ceb2de4a">Indicates the algorithm version submitted by a job. The value is <span class="parmvalue" id="mrs_01_0850__p3e14b92f9101481da91ba7e645fd767f"><b>1</b></span> or <span class="parmvalue" id="mrs_01_0850__pf16ea86adeb44bd7b95e4b8eca8f0d27"><b>2</b></span>.</p>
+<div class="note" id="mrs_01_0850__n0f648c9ea0314af4b7bb16779050f436"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0850__af21c323fb3804f1b8eeecfc3a92f1644"><strong id="mrs_01_0850__b8877165042617">2</strong> is the recommended algorithm version. This algorithm enables tasks to directly commit the output results of each task to the final result output directory, reducing the time for the results of large jobs are committed.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_0850__aa577c2d39016412880cc49f05582e1ba">2</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0843.html">MapReduce Performance Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0851.html b/docs/mrs/component-operation-guide/mrs_01_0851.html
new file mode 100644
index 000000000..e6f5d1d99
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0851.html
@@ -0,0 +1,49 @@
+<a name="mrs_01_0851"></a><a name="mrs_01_0851"></a>
+
+<h1 class="topictitle1">Using Yarn</h1>
+<div id="body1590130746669"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_0852.html">Common YARN Parameters</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0853.html">Creating Yarn Roles</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0854.html">Using the YARN Client</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0855.html">Configuring Resources for a NodeManager Role Instance</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0856.html">Changing NodeManager Storage Directories</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0857.html">Configuring Strict Permission Control for Yarn</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0858.html">Configuring Container Log Aggregation</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0859.html">Using CGroups with YARN</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0860.html">Configuring the Number of ApplicationMaster Retries</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0861.html">Configure the ApplicationMaster to Automatically Adjust the Allocated Memory</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0862.html">Configuring the Access Channel Protocol</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0863.html">Configuring Memory Usage Detection</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0864.html">Configuring the Additional Scheduler WebUI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0865.html">Configuring Yarn Restart</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0866.html">Configuring ApplicationMaster Work Preserving</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0867.html">Configuring the Localized Log Levels</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0868.html">Configuring Users That Run Tasks</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0870.html">Yarn Log Overview</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0871.html">Yarn Performance Tuning</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2077.html">Common Issues About Yarn</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0852.html b/docs/mrs/component-operation-guide/mrs_01_0852.html
new file mode 100644
index 000000000..c6d0d14fc
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0852.html
@@ -0,0 +1,169 @@
+<a name="mrs_01_0852"></a><a name="mrs_01_0852"></a>
+
+<h1 class="topictitle1">Common YARN Parameters</h1>
+<div id="body1590130746674"><div class="section" id="mrs_01_0852__s68048816f78e4d65930a50e9889a524e"><h4 class="sectiontitle">Allocating Queue Resources</h4><p id="mrs_01_0852__a25107a0f2dca47e5818e71e1ccd60ddb">The Yarn service provides queues for users. Users allocate system resources to each queue. After the configuration is complete, you can click <strong id="mrs_01_0852__b5963182610118">Refresh Queue</strong> or restart the Yarn service for the configuration to take effect.</p>
+<p id="mrs_01_0852__ae80f1c923fbb4ad48f2157ba257446b2"><strong id="mrs_01_0852__b186812518564">Navigation path for setting parameters:</strong></p>
+<p id="mrs_01_0852__p1818142274714">For versions earlier than MRS 3.x, perform the following operations:</p>
+<p id="mrs_01_0852__a11ef8e43a7324e7d844b94b044a61fe4">On the MRS console, choose <strong id="mrs_01_0852__b827832818317">Tenants </strong>&gt; <strong id="mrs_01_0852__b442117323311">Resource Distribution Policies</strong>.</p>
+<p id="mrs_01_0852__a1ca625fc36be4a7bbff2b7bcac0b0003">The following uses the <strong id="mrs_01_0852__b1753912917193">default</strong> queue as an example. The configurations of other queues are similar. Click <strong id="mrs_01_0852__b275935142012">Modify</strong> to edit the parameters.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0852__te4412e60a9e94b00a4464dc72dc82787" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0852__r1493f23b510346ccacad3721570dbc81"><th align="left" class="cellrowborder" valign="top" width="28.28%" id="mcps1.3.1.7.2.4.1.1"><p id="mrs_01_0852__a0e8378c23fc24145a097875ee3485e4d">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="56.57%" id="mcps1.3.1.7.2.4.1.2"><p id="mrs_01_0852__a2e71df79a7ff49bb87d8ad79349ba171">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.15%" id="mcps1.3.1.7.2.4.1.3"><p id="mrs_01_0852__af8effc8b57834ae9b5c9a26b4282bf6e">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0852__r17df0a31019143c2ad3880e5c53886e5"><td class="cellrowborder" valign="top" width="28.28%" headers="mcps1.3.1.7.2.4.1.1 "><p id="mrs_01_0852__af6bae896100646d9893a2860ca6404ab">Capacity</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.57%" headers="mcps1.3.1.7.2.4.1.2 "><p id="mrs_01_0852__a6e22082952044949b67f0498da863623">Queue resource capacity (percentage). Ensure that the capacity requirement of each queue is satisfied when the system is busy. If only a few application programs are running in a queue, the remaining resource of the queue can be shared with other queues. Note that the total capacity of all queues must be smaller than 100.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.15%" headers="mcps1.3.1.7.2.4.1.3 "><p id="mrs_01_0852__aea364783ecaa45aaac1da3979da3fe72">20</p>
+</td>
+</tr>
+<tr id="mrs_01_0852__r324edcbc3c25426395aeccc56813b05f"><td class="cellrowborder" valign="top" width="28.28%" headers="mcps1.3.1.7.2.4.1.1 "><p id="mrs_01_0852__a5556278899654ac2bc3c7367b38b23db">Maximum Capacity</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.57%" headers="mcps1.3.1.7.2.4.1.2 "><p id="mrs_01_0852__aba415f58d00b4ae2b8c96f63d4effdf8">Maximum queue resource usage (percentage). Due to resource sharing, the resources used by a queue may exceed its capacity. The maximum resource usage can be limited using this parameter.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.15%" headers="mcps1.3.1.7.2.4.1.3 "><p id="mrs_01_0852__a97b7b7094db1409d948ae56803894e90">100</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_0852__p15362913164816">For MRS 3.<em id="mrs_01_0852__i2045851717248">x</em> or later, perform the following operations:</p>
+<p id="mrs_01_0852__p195887220258">On Manager, choose <strong id="mrs_01_0852__b11189351192416">Tenant Resources</strong> &gt; <strong id="mrs_01_0852__b2019085102415">Dynamic Resource Plan</strong> &gt; <strong id="mrs_01_0852__b977707182511">Queue Configuration</strong>.</p>
+<p id="mrs_01_0852__p8198143174813">The following uses the <strong id="mrs_01_0852__b1421791388">default</strong> tenant who modifies the Superior scheduler as an example. The configurations of other queues are similar. Click <strong id="mrs_01_0852__b1313866910">Modify</strong> to edit the parameters.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0852__t7e5e0a2f1ab54e63ad6515924dbf6ca5" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Queue configuration parameters</caption><thead align="left"><tr id="mrs_01_0852__r5b911308688c49a5a0b88250183ef1a7"><th align="left" class="cellrowborder" valign="top" width="30.3%" id="mcps1.3.1.11.2.3.1.1"><p id="mrs_01_0852__a77e68c41c8d3458e9ec15dff8b4389c9">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="69.69999999999999%" id="mcps1.3.1.11.2.3.1.2"><p id="mrs_01_0852__ad32d600ba56f485f897ea078dfb2a6f8">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0852__r3473e147b7014e8f9696330ced934571"><td class="cellrowborder" valign="top" width="30.3%" headers="mcps1.3.1.11.2.3.1.1 "><p id="mrs_01_0852__a0e071743225246a39deaa4aba748e2e2">Max Master Shares(%)</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.69999999999999%" headers="mcps1.3.1.11.2.3.1.2 "><p id="mrs_01_0852__a02167f7da7f5421cba63de63a8f06b68">Indicates the maximum percentage of resources occupied by all ApplicationMasters in the current queue.</p>
+</td>
+</tr>
+<tr id="mrs_01_0852__r2f7f1f0bdd6a4e869b9f3824f9d91b7c"><td class="cellrowborder" valign="top" width="30.3%" headers="mcps1.3.1.11.2.3.1.1 "><p id="mrs_01_0852__a0f229be407384c179593b1b0b6c27f2f">Max Allocated vCores</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.69999999999999%" headers="mcps1.3.1.11.2.3.1.2 "><p id="mrs_01_0852__adaae04f2aa3a4cc3bf505090199c2097">Indicates the maximum number of cores that can be allocated to a single YARN container in the current queue. The default value is <strong id="mrs_01_0852__b103701044523">-1</strong>, indicating that the number of cores is not limited within the value range.</p>
+</td>
+</tr>
+<tr id="mrs_01_0852__r8533f3a3cd9143acb3df22f50fa0d9f2"><td class="cellrowborder" valign="top" width="30.3%" headers="mcps1.3.1.11.2.3.1.1 "><p id="mrs_01_0852__aad0cdf97b8e34713acbe48752134b638">Max Allocated Memory(MB)</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.69999999999999%" headers="mcps1.3.1.11.2.3.1.2 "><p id="mrs_01_0852__ada1e159e65fb428b812a01b0f407b0ff">Indicates the maximum memory that can be allocated to a single YARN container in the current queue. The default value is <strong id="mrs_01_0852__b0221184716212">-1</strong>, indicating that the memory is not limited within the value range.</p>
+</td>
+</tr>
+<tr id="mrs_01_0852__raf34940bfa21483dbca72c23a96a5474"><td class="cellrowborder" valign="top" width="30.3%" headers="mcps1.3.1.11.2.3.1.1 "><p id="mrs_01_0852__a0616caf57b554d0aa4758fe80adb8ca0">Max Running Apps</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.69999999999999%" headers="mcps1.3.1.11.2.3.1.2 "><p id="mrs_01_0852__a2c9ace6365a54ebc9b87360dbf5b3d6a">Maximum number of tasks that can be executed at the same time in the current queue. The default value is <strong id="mrs_01_0852__b9324105216215">-1</strong>, indicating that the number is not limited within the value range (the meaning is the same if the value is empty). The value 0 indicates that the task cannot be executed. The value ranges from -1 to 2147483647.</p>
+</td>
+</tr>
+<tr id="mrs_01_0852__r144ff8351f5446dca2502f3efbe4603a"><td class="cellrowborder" valign="top" width="30.3%" headers="mcps1.3.1.11.2.3.1.1 "><p id="mrs_01_0852__a73eb4faa914546148bdf3205ec5e5d84">Max Running Apps per User</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.69999999999999%" headers="mcps1.3.1.11.2.3.1.2 "><p id="mrs_01_0852__adf6c00e17e0f4e8980796f401edf4a66">Maximum number of tasks that can be executed by each user in the current queue at the same time. The default value is <strong id="mrs_01_0852__b8659408315">-1</strong>, indicating that the number is not limited within the value range. If the value is <strong id="mrs_01_0852__b18664903319">0</strong>, the task cannot be executed. The value ranges from -1 to 2147483647. </p>
+</td>
+</tr>
+<tr id="mrs_01_0852__r8f4b14705dbc4baf835d0b096b4a9c43"><td class="cellrowborder" valign="top" width="30.3%" headers="mcps1.3.1.11.2.3.1.1 "><p id="mrs_01_0852__a0302cd2aaae64a938777691118efa608">Max Pending Apps</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.69999999999999%" headers="mcps1.3.1.11.2.3.1.2 "><p id="mrs_01_0852__a85e2f6184fcc4ac4bbd789fe19c59e5d">Maximum number of tasks that can be suspended at the same time in the current queue. The default value is <strong id="mrs_01_0852__b7811641731">-1</strong>, indicating that the number is not limited within the value range (the meaning is the same if the value is empty). The value <strong id="mrs_01_0852__b1881618410319">0</strong> indicates that tasks cannot be suspended. The value ranges from -1 to 2147483647. </p>
+</td>
+</tr>
+<tr id="mrs_01_0852__r819ae33486d44a0da5b645edb94b10f4"><td class="cellrowborder" valign="top" width="30.3%" headers="mcps1.3.1.11.2.3.1.1 "><p id="mrs_01_0852__a5d3485641a434137b9b815c4478af35f">Resource Allocation Rule</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.69999999999999%" headers="mcps1.3.1.11.2.3.1.2 "><p id="mrs_01_0852__p178552030192113">Indicates the rule for allocating resources to different tasks of a user. The rule can be FIFO or FAIR. </p>
+<p id="mrs_01_0852__a34305b328f1240a59421b7937f727cc1">If a user submits multiple tasks in the current queue and the rule is FIFO, the tasks are executed one by one in sequential order; if the rule is FAIR, resources are evenly allocated to all tasks.</p>
+</td>
+</tr>
+<tr id="mrs_01_0852__r9cfd63ef943944efab518b20b12b98ed"><td class="cellrowborder" valign="top" width="30.3%" headers="mcps1.3.1.11.2.3.1.1 "><p id="mrs_01_0852__a81950623ccd54b5bbae6fb6ccb23968e">Default Resource Label</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.69999999999999%" headers="mcps1.3.1.11.2.3.1.2 "><p id="mrs_01_0852__aaa9fab0b7bd74041a72d570d3dda9417">Indicates that tasks are executed on a node with a specified resource label.</p>
+</td>
+</tr>
+<tr id="mrs_01_0852__rb572d8a6af794ed4863c2a0ac1a32b29"><td class="cellrowborder" valign="top" width="30.3%" headers="mcps1.3.1.11.2.3.1.1 "><p id="mrs_01_0852__a5f284905972241e189224c8402c0f56b">Active</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.69999999999999%" headers="mcps1.3.1.11.2.3.1.2 "><ul id="mrs_01_0852__ul218013592217"><li id="mrs_01_0852__li51801358222"><strong id="mrs_01_0852__b0189122617311">ACTIVE</strong>: indicates that the current queue can receive and execute tasks.</li><li id="mrs_01_0852__li18180133520223"><strong id="mrs_01_0852__b1357210291237">INACTIVE</strong>: indicates that the current queue can receive but cannot execute tasks. Tasks submitted to the queue are suspended.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_0852__r7697c6a3eefd4f1ea931d27a3eb8a4a8"><td class="cellrowborder" valign="top" width="30.3%" headers="mcps1.3.1.11.2.3.1.1 "><p id="mrs_01_0852__a37f0eff8e1ae4c68a0522f32015f2859">Open</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.69999999999999%" headers="mcps1.3.1.11.2.3.1.2 "><ul id="mrs_01_0852__ul128718379229"><li id="mrs_01_0852__li128717379224"><strong id="mrs_01_0852__b1543918387319">OPEN</strong>: indicates that the current queue is opened.</li><li id="mrs_01_0852__li1287123792216"><strong id="mrs_01_0852__b20317241239">CLOSED</strong>: indicates that the current queue is closed. Tasks submitted to the queue are rejected.</li></ul>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_0852__s6553404a57364a16b7c374b3eff1e814"><h4 class="sectiontitle">Displaying Container Logs on the Web UI</h4><p id="mrs_01_0852__afee30c03b2bb46c88a06f848807f8667">By default, the system collects container logs to HDFS. If you do not need to collect container logs to HDFS, configure the parameters in <a href="#mrs_01_0852__t027bdb01430f42d8af2780add169c244">Table 3</a>. For details, see <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0852__t027bdb01430f42d8af2780add169c244"></a><a name="t027bdb01430f42d8af2780add169c244"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0852__t027bdb01430f42d8af2780add169c244" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0852__raed6359efbb8448baf986eeb23f93c39"><th align="left" class="cellrowborder" valign="top" width="28.28%" id="mcps1.3.2.3.2.4.1.1"><p id="mrs_01_0852__ae8954697c78b4350b8c08ab62989c003">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="56.57%" id="mcps1.3.2.3.2.4.1.2"><p id="mrs_01_0852__ab9aa952ae9704e6291f1ff7866f40873">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.15%" id="mcps1.3.2.3.2.4.1.3"><p id="mrs_01_0852__a5ce827ca6f064f9788f073023a0e2692">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0852__ra1c66e6c6b0040c99792788f542a0b7b"><td class="cellrowborder" valign="top" width="28.28%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_0852__aa8fae50b064741479b0cd2e1a4a81b16">yarn.log-aggregation-enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.57%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_0852__a37d79cb832dc4d47878626282c3ec02f">Select whether to collect container logs to HDFS.</p>
+<ul id="mrs_01_0852__udf6e9e2b0ca64a86ac3f4181c3538208"><li id="mrs_01_0852__l589316c562014688a3fc9731d6309b15">If the parameter is set to <strong id="mrs_01_0852__b12188205172913">true</strong>, container logs are collected to an HDFS directory. The default directory is <strong id="mrs_01_0852__b202051211295">{yarn.nodemanager.remote-app-log-dir}/${user}/{thisParam}</strong>. You can set the directory by setting the <strong id="mrs_01_0852__b142171534192919">yarn.nodemanager.remote-app-log-dir-suffix</strong> parameter on the web UI.</li><li id="mrs_01_0852__lec253bc24c2d49bf8d0b3642297da4c3">If this parameter is set to <strong id="mrs_01_0852__b19370132693014">false</strong>, container logs will not be collected to HDFS.</li></ul>
+<p id="mrs_01_0852__abf6e4b83451c46fda0c72becb00a8157">After changing the parameter value, restart the Yarn service for the setting to take effect.</p>
+<div class="note" id="mrs_01_0852__nb6e140ff171a4fb7832fe853ba4cde0d"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0852__a0476a183ac40472fb2eebe8828842243">The container logs that are generated before the parameter is set to <strong id="mrs_01_0852__b359572012313">false</strong> and the setting takes effect cannot be obtained from the web UI. You can obtain container logs from the directory specified by the <strong id="mrs_01_0852__b139994915314">yarn.nodemanager.remote-app-log-dir-suffix</strong> parameter before the setting takes effect.</p>
+<p id="mrs_01_0852__a48e6b38f655e4c4fb739f4686dce0cf8">If you want to view the logs generated before on the web UI, you are advised to set this parameter to <strong id="mrs_01_0852__b8850119103214">true</strong>.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="15.15%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_0852__a25982d4388774a0f80110ffff1c30c1e">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_0852__s2c89d2372651459789626fb792914382"><h4 class="sectiontitle">Increasing the Number of Historical Jobs to Be Displayed on the web UI</h4><p id="mrs_01_0852__ac5092d2748774088934ad8fdb8bae8cd">By default, the Yarn web UI supports task list pagination. A maximum of 5,000 historical jobs can be displayed on each page, and a maximum of 10,000 historical jobs can be retained. If you need to view more jobs on the WebUI, configure parameters by referring to <a href="#mrs_01_0852__t970d650c8d6c4f469f34286c36ac115b">Table 4</a>. For details, see <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0852__t970d650c8d6c4f469f34286c36ac115b"></a><a name="t970d650c8d6c4f469f34286c36ac115b"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0852__t970d650c8d6c4f469f34286c36ac115b" frame="border" border="1" rules="all"><caption><b>Table 4 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0852__r44087270fc3d4428b09a1d13c24aad7e"><th align="left" class="cellrowborder" valign="top" width="28.28%" id="mcps1.3.3.3.2.4.1.1"><p id="mrs_01_0852__a2005343a428147869c68bb203233abee">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="56.57%" id="mcps1.3.3.3.2.4.1.2"><p id="mrs_01_0852__a1142c947948a437ca163d2b7d2a3305f">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.15%" id="mcps1.3.3.3.2.4.1.3"><p id="mrs_01_0852__abde6b53502da45b2b95243367a3a9001">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0852__r12b39497b76c42eaa35a21f588dab680"><td class="cellrowborder" valign="top" width="28.28%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_0852__ae4bc3e71ca0141529d765c6cd3b5de7e">yarn.resourcemanager.max-completed-applications</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.57%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_0852__afed28adf916940ccb02761e4411c3e70">Set the total number of historical jobs to be displayed on the web UI.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.15%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_0852__aba9817e6fa024d27824612cf26fae465">10000</p>
+</td>
+</tr>
+<tr id="mrs_01_0852__rc8302ee46de543659b0708cb9455effe"><td class="cellrowborder" valign="top" width="28.28%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_0852__a15764e9987e647d18aeb189f8b4a7ab5">yarn.resourcemanager.webapp.pagination.enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.57%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_0852__ac7c67d402492411fa052ab4ced7e5087">Select whether to enable the job list background pagination function for the Yarn web UI.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.15%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_0852__a8762e582bdc84b54886df8600c7706bc">true</p>
+</td>
+</tr>
+<tr id="mrs_01_0852__rbf941a00da014e97863709bb46819361"><td class="cellrowborder" valign="top" width="28.28%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_0852__af60932aade1141c5b97110fe1dc1a1bc">yarn.resourcemanager.webapp.pagination.threshold</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.57%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_0852__a08e68429a34542cf976c04c10548ef3b">Set the maximum number of jobs displayed on each page after the job list background pagination function of the Yarn web UI is enabled.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.15%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_0852__a87e7e64b0ccc4c0c9db95bf4923b8eea">5000</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_0852__n7a6878d7e98f49da9bb67d2948f5d944"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0852__ub0f563386d464670b2cbefeb574f3e46"><li id="mrs_01_0852__l060cb6e0135341ae9d8616703ce337c4">If a large number of historical jobs are displayed, the performance will be affected and the time for opening the Yarn web UI will be increased. Therefore, you are advised to enable the background pagination function and modify the <strong id="mrs_01_0852__b611424163920">yarn.resourcemanager.max-completed-applications</strong> parameter according to the actual hardware performance.</li><li id="mrs_01_0852__l3e504c8af44542c3bd8057bdd929948c">After changing the parameter value, restart the Yarn service for the setting to take effect.</li></ul>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0851.html">Using Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0853.html b/docs/mrs/component-operation-guide/mrs_01_0853.html
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@@ -0,0 +1,83 @@
+<a name="mrs_01_0853"></a><a name="mrs_01_0853"></a>
+
+<h1 class="topictitle1">Creating Yarn Roles</h1>
+<div id="body1590130746678"><div class="section" id="mrs_01_0853__sefb5491eb22b46b7ae6dcda52045fda3"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0853__a8e029b35af464590ae99fad252f1aee9">This section describes how to create and configure a Yarn role. The Yarn role can be assigned with Yarn administrator permission and manage Yarn queue resources.</p>
+<div class="note" id="mrs_01_0853__note497615453293"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0853__p473939559">If the current component uses Ranger for permission control, you need to configure permission management policies based on Ranger. Refer to <a href="mrs_01_1859.html">Adding a Ranger Access Permission Policy for Yarn</a> for clusters of MRS 3.<em id="mrs_01_0853__i8529202519346">x</em> or later.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0853__s9109011a40114834ab799887a7f9458b"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_0853__ucce2c3562cf542d8bd7c6d4b86b5867b"><li id="mrs_01_0853__l1482596053a9478ca1437dc98de5bfae">The system administrator has understood the service requirements.</li><li id="mrs_01_0853__ldb37f3e226d94f048948d9d0ec99a32a">You have logged in to Manager.</li></ul>
+</div>
+<div class="section" id="mrs_01_0853__s6edf1022fe2241b2b83cddecf9d0e1e9"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_0853__p9259949998">For versions earlier than MRS 3.x, perform the following operations:</p>
+<ol id="mrs_01_0853__od6201022c3414c8692ceac861d6ed6fa"><li id="mrs_01_0853__l7182476544614b9d97f84c0425555e18"><span>Choose <strong id="mrs_01_0853__b4824739125518">System</strong> &gt; <strong id="mrs_01_0853__b148301739105511">Manage Role</strong> &gt; <strong id="mrs_01_0853__b108311639105513">Create Role</strong>.</span></li><li id="mrs_01_0853__l98216fd9bd9c48c09cb042994c474d5e"><span>Click <strong id="mrs_01_0853__b94985814569">Create Role</strong> and fill in <strong id="mrs_01_0853__b145032895613">Role Name</strong> and <strong id="mrs_01_0853__b750312812564">Description</strong>.</span></li><li id="mrs_01_0853__l7ac2f61358d64c16a84bb18e5aaea518"><span>Set permissions. For details, see <a href="#mrs_01_0853__t5453ec62e4fa409ab89e13e8c65f7f7b">Table 1</a>.</span><p><p id="mrs_01_0853__a320314e7901e4063bd465e83f55e0003">Yarn permissions:</p>
+<ul id="mrs_01_0853__ue9b498ff376248ab8bb108b9fbcf8755"><li id="mrs_01_0853__lf4bd3812a067449aac091f4f1f3b13f0"><strong id="mrs_01_0853__b727754518568">Cluster Admin Operations</strong>: Yarn administrator permissions.</li><li id="mrs_01_0853__l8526fa23f9dc4b61a359f750f2e47e3d"><strong id="mrs_01_0853__b19408168135710">Scheduler Queue</strong>: queue resources management .
+<div class="tablenoborder"><a name="mrs_01_0853__t5453ec62e4fa409ab89e13e8c65f7f7b"></a><a name="t5453ec62e4fa409ab89e13e8c65f7f7b"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0853__t5453ec62e4fa409ab89e13e8c65f7f7b" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Setting a role</caption><thead align="left"><tr id="mrs_01_0853__r1b483aabcac2421b9e5c5dd1cd737521"><th align="left" class="cellrowborder" valign="top" width="26.26%" id="mcps1.3.3.3.3.2.2.2.2.2.3.1.1"><p id="mrs_01_0853__a28a08feb938144c698eb23b16aa72258">Task</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="73.74000000000001%" id="mcps1.3.3.3.3.2.2.2.2.2.3.1.2"><p id="mrs_01_0853__ad444bcbe25e84f17a7ebe278a43a323f">Operation</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0853__rb7a95f62aa9d4cc1bfbdf54340c3997d"><td class="cellrowborder" valign="top" width="26.26%" headers="mcps1.3.3.3.3.2.2.2.2.2.3.1.1 "><p id="mrs_01_0853__ae0370d9982834c21bd3fd01d37e8e519">Setting the Yarn administrator permission</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.74000000000001%" headers="mcps1.3.3.3.3.2.2.2.2.2.3.1.2 "><p id="mrs_01_0853__a62f81c5410ee4308a7e35477df827957">In the <strong id="mrs_01_0853__b233833214571">Permission</strong> table, click <strong id="mrs_01_0853__b43431327575">Yarn</strong> and select <strong id="mrs_01_0853__b13343163275718">Cluster Admin Operations</strong>.</p>
+<div class="note" id="mrs_01_0853__nfc66ef39a6af41759a6fd817585c2641"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0853__a5ea050d3cb25478d8f3ef657dd4c4db7">The Yarn service needs to be restarted to set the Yarn administrator permission so that the saved role configuration can take effect.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_0853__r22bbd4ec3d1b4ad8b6bfc60fd3fc61e1"><td class="cellrowborder" valign="top" width="26.26%" headers="mcps1.3.3.3.3.2.2.2.2.2.3.1.1 "><p id="mrs_01_0853__a1cdc441186674095ab125a083daa694d">Setting the permission for a user to submit tasks in a specified Yarn queue</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.74000000000001%" headers="mcps1.3.3.3.3.2.2.2.2.2.3.1.2 "><ol type="a" id="mrs_01_0853__o30e243cdf97449148c36d93dc1a03a37"><li id="mrs_01_0853__l1c2a51286aec453ca3e9493b64fcf22d">In the <strong id="mrs_01_0853__b192021806581">Permission</strong> table, choose <strong id="mrs_01_0853__b820720025817">Yarn</strong> &gt; <strong id="mrs_01_0853__b1520710017587">Scheduler Queue</strong>.</li><li id="mrs_01_0853__lf5abf3930e0743339a133949b7c9ac3b">In the <strong id="mrs_01_0853__b76431312145812">Permission</strong> column of the specified queue, select <strong id="mrs_01_0853__b16648512105815">Submit</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_0853__r3297e0a39f084a7ca7b97fda8d77b4f1"><td class="cellrowborder" valign="top" width="26.26%" headers="mcps1.3.3.3.3.2.2.2.2.2.3.1.1 "><p id="mrs_01_0853__af0e7fec78a8d49c4ad2c94f35ff679f9">Setting the permission for a user to manage tasks in a specified Yarn queue</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.74000000000001%" headers="mcps1.3.3.3.3.2.2.2.2.2.3.1.2 "><ol type="a" id="mrs_01_0853__ob76d86eb5b2d489f9518f378477e71e1"><li id="mrs_01_0853__l94826ae0e275488ca2e717890737037a">In the <strong id="mrs_01_0853__b82223145818">Permission</strong> table, choose <strong id="mrs_01_0853__b1852320587">Yarn</strong> &gt; <strong id="mrs_01_0853__b3862345815">Scheduler Queue</strong>.</li><li id="mrs_01_0853__l1b279b06224b4d1c979bebcecf12c436">In the <strong id="mrs_01_0853__b1476212254587">Permission</strong> column of the specified queue, select <strong id="mrs_01_0853__b167671725115810">Admin</strong>.</li></ol>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+<p id="mrs_01_0853__p1766875511475">If the Yarn role contains the <strong id="mrs_01_0853__b117294294542643">Submit</strong> or <strong id="mrs_01_0853__b85749208142643">Manage</strong> permission of a parent queue, the sub-queue inherits the permission by default, that is, the <strong id="mrs_01_0853__b91224021342643">Submit</strong> or <strong id="mrs_01_0853__b182788743642643">Manage</strong> permission is automatically added for the sub-queue. Permissions inherited by sub-queues will not be displayed as selected in the <strong id="mrs_01_0853__b771613413196">Configure Resource Permission</strong> table.</p>
+<p id="mrs_01_0853__p15600153013810">If you select only the <strong id="mrs_01_0853__b65964157342643">Submit</strong> permission of a parent queue when setting the Yarn role, you need to manually specify the queue name when submitting tasks as a user with the permission of this role. Otherwise, when the parent queue has multiple sub-queues, the system does not automatically determine the queue to which the task is submitted and therefore submits the task to the <strong id="mrs_01_0853__b13234064742643">default</strong> queue.</p>
+</p></li><li id="mrs_01_0853__l0a7e37e1d8354b7a8d7a468e78556f05"><span>Click <strong id="mrs_01_0853__b193289715942643">OK</strong>.</span></li></ol>
+<p id="mrs_01_0853__p54461939171011">For MRS 3.<em id="mrs_01_0853__i3420144517584">x</em> or later, perform the following operations:</p>
+<ol id="mrs_01_0853__ol14354162191110"><li id="mrs_01_0853__li335411211115"><span>Choose System &gt; Permission &gt; Role.</span></li><li id="mrs_01_0853__li735417212111"><span>Click <strong id="mrs_01_0853__b15821117642643">Create Role</strong> and set a role name and enter description.</span></li><li id="mrs_01_0853__li9354152191119"><span>Refer <a href="#mrs_01_0853__table16354521181114">Table 2</a> to configure resource permissions for roles.</span><p><p id="mrs_01_0853__p1435432141118">Yarn permissions:</p>
+<ul id="mrs_01_0853__ul6354321201115"><li id="mrs_01_0853__li1035462161114">Cluster management: Yarn administrator permissions.</li><li id="mrs_01_0853__li173541321101113">Queue scheduling: queue resource management.
+<div class="tablenoborder"><a name="mrs_01_0853__table16354521181114"></a><a name="table16354521181114"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0853__table16354521181114" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Setting a role</caption><thead align="left"><tr id="mrs_01_0853__row23541921121117"><th align="left" class="cellrowborder" valign="top" width="26.26%" id="mcps1.3.3.5.3.2.2.2.1.2.3.1.1"><p id="mrs_01_0853__p63541921131118">Task</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="73.74000000000001%" id="mcps1.3.3.5.3.2.2.2.1.2.3.1.2"><p id="mrs_01_0853__p103541821171118">Operation</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0853__row7355112171119"><td class="cellrowborder" valign="top" width="26.26%" headers="mcps1.3.3.5.3.2.2.2.1.2.3.1.1 "><p id="mrs_01_0853__p035562161115">Setting the Yarn administrator permission</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.74000000000001%" headers="mcps1.3.3.5.3.2.2.2.1.2.3.1.2 "><p id="mrs_01_0853__p19355621191118">In the <strong id="mrs_01_0853__b114798420042643">Configure Resource Permission</strong> table, choose <em id="mrs_01_0853__i48244243942643">Name of the desired cluster</em> &gt; <strong id="mrs_01_0853__b43185574042643">Yarn</strong> &gt; <strong id="mrs_01_0853__b162598795742643">Cluster Management</strong>.</p>
+<div class="note" id="mrs_01_0853__note23551212116"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0853__p173551521111110">The Yarn service needs to be restarted to set the Yarn administrator permission so that the saved role configuration can take effect.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_0853__row20355192131110"><td class="cellrowborder" valign="top" width="26.26%" headers="mcps1.3.3.5.3.2.2.2.1.2.3.1.1 "><p id="mrs_01_0853__p12355172191115">Setting the permission for a user to submit tasks in a specified Yarn queue</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.74000000000001%" headers="mcps1.3.3.5.3.2.2.2.1.2.3.1.2 "><ol type="a" id="mrs_01_0853__ol235562101118"><li id="mrs_01_0853__li173557213118">In the <strong id="mrs_01_0853__b74669424842643">Configure Resource Permission</strong> table, choose <em id="mrs_01_0853__i103931464542643">Name of the desired cluster</em> &gt; <strong id="mrs_01_0853__b134418330242643">Yarn</strong> &gt; <strong id="mrs_01_0853__b64483984442643">Scheduling Queue</strong> &gt; <strong id="mrs_01_0853__b12558179942643">root</strong>.</li><li id="mrs_01_0853__li1935582151114">In the <strong id="mrs_01_0853__b145147948942643">Permission</strong> column of the specified queue, select <strong id="mrs_01_0853__b58870693442643">Submit</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_0853__row1235592111111"><td class="cellrowborder" valign="top" width="26.26%" headers="mcps1.3.3.5.3.2.2.2.1.2.3.1.1 "><p id="mrs_01_0853__p6355192119111">Setting the permission for a user to manage tasks in a specified Yarn queue</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.74000000000001%" headers="mcps1.3.3.5.3.2.2.2.1.2.3.1.2 "><ol type="a" id="mrs_01_0853__ol173551221111118"><li id="mrs_01_0853__li63556218111">In the <strong id="mrs_01_0853__b207217126442643">Configure Resource Permission</strong> table, choose <em id="mrs_01_0853__i100580288242643">Name of the desired cluster</em> &gt; <strong id="mrs_01_0853__b69560254942643">Yarn</strong> &gt; <strong id="mrs_01_0853__b18535024242643">Scheduling Queue</strong> &gt; <strong id="mrs_01_0853__b172778312042643">root</strong>.</li><li id="mrs_01_0853__li10355321111110">In the <strong id="mrs_01_0853__b16262425642643">Permission</strong> column of the specified queue, select <strong id="mrs_01_0853__b7840339442643">Manage</strong>.</li></ol>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+<p id="mrs_01_0853__p135542118119">If the Yarn role contains the <strong id="mrs_01_0853__b94522093642643">Submit</strong> or <strong id="mrs_01_0853__b21838672342643">Manage</strong> permission of a parent queue, the sub-queue inherits the permission by default, that is, the <strong id="mrs_01_0853__b65341761142643">Submit</strong> or <strong id="mrs_01_0853__b209861024642643">Manage</strong> permission is automatically added for the sub-queue. Permissions inherited by sub-queues will not be displayed as selected in the <strong id="mrs_01_0853__b11444324181914">Configure Resource Permission</strong> table.</p>
+<p id="mrs_01_0853__p193558212114">If you select only the <strong id="mrs_01_0853__b157676835542643">Submit</strong> permission of a parent queue when setting the Yarn role, you need to manually specify the queue name when submitting tasks as a user with the permission of this role. Otherwise, when the parent queue has multiple sub-queues, the system does not automatically determine the queue to which the task is submitted and therefore submits the task to the <strong id="mrs_01_0853__b133552998642643">default</strong> queue.</p>
+</p></li><li id="mrs_01_0853__li10355162111115"><span>Click <strong id="mrs_01_0853__b195202197542643">OK</strong>.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0851.html">Using Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0854.html b/docs/mrs/component-operation-guide/mrs_01_0854.html
new file mode 100644
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+<a name="mrs_01_0854"></a><a name="mrs_01_0854"></a>
+
+<h1 class="topictitle1">Using the YARN Client</h1>
+<div id="body1590130746680"><div class="section" id="mrs_01_0854__sfa78c979cca846bc9a575e06ffe87515"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0854__a9c0daa461c42475abc479b922ddff357">This section guides users to use a Yarn client in an O&amp;M or service scenario.</p>
+</div>
+<div class="section" id="mrs_01_0854__s6d0150e80cca450287f729fb56ed593b"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_0854__u20fcfd465a494c5598386a4ce5d296d7"><li id="mrs_01_0854__la7415f93eb2e4da28a053cbf667f0824">The client has been installed.<p id="mrs_01_0854__a57a39be1ee37483eafbd78350f970751"><a name="mrs_01_0854__la7415f93eb2e4da28a053cbf667f0824"></a><a name="la7415f93eb2e4da28a053cbf667f0824"></a>For example, the installation directory is <strong id="mrs_01_0854__b3922102543216">/opt/hadoopclient</strong>. The client directory in the following operations is only an example. Change it to the actual installation directory.</p>
+</li><li id="mrs_01_0854__la8a352e20c414015a0e60f8023ecc0a5">Service component users are created by the administrator as required. In security mode, machine-machine users need to download the keytab file. A human-machine user must change the password upon the first login. In common mode, you do not need to download the keytab file or change the password.</li></ul>
+</div>
+<div class="section" id="mrs_01_0854__sc37d25bf096f4cfc9238391b20eef646"><h4 class="sectiontitle">Using the Yarn Client</h4><ol id="mrs_01_0854__o6892fcbe887340a69bd442232bea3a53"><li id="mrs_01_0854__lf7bb4feeb35e4edc92623f85af590af2"><span><span id="mrs_01_0854__ph1824832115713">Log in to the node where the client is installed as the client installation user.</span></span></li><li id="mrs_01_0854__le1fc22c78fb9419fbf8d6a8ec993a28c"><span>Run the following command to go to the client installation directory:</span><p><p id="mrs_01_0854__a9f464ad0bff64ab3a95f5df6380823a4"><strong id="mrs_01_0854__a6edf309423714fe89e10fa987aef56ac">cd /opt/hadoopclient</strong></p>
+</p></li><li id="mrs_01_0854__l4d307c46d6f2476986f1e4b48ae1aebf"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_0854__a14ee0bcb2dff44b5a0fe301008472bd2"><strong id="mrs_01_0854__a4a14ee6fdcd949a2b5781278c0451017">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_0854__lab5be0eb23924164b908846e08d7d2b9"><span>If the cluster is in security mode, run the following command to authenticate the user. In normal mode, user authentication is not required.</span><p><p id="mrs_01_0854__a745fbc8f5d8845d48faac44699c6656f"><strong id="mrs_01_0854__a9b532e67730a4a2ab8515feae87d06a2">kinit</strong> <em id="mrs_01_0854__a078138dcadd443b58f38a504f9b9796e">Component service user</em></p>
+</p></li><li id="mrs_01_0854__li50294839112334"><span>Run the Yarn command. The following provides an example:</span><p><p id="mrs_01_0854__p45665694112339"><strong id="mrs_01_0854__b65860936112426">yarn application -list</strong></p>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0854__section29499362105048"><h4 class="sectiontitle">Client-related FAQs</h4><ol id="mrs_01_0854__ol744197105431"><li id="mrs_01_0854__li15025511105431">What Do I Do When the Yarn Client Exits Abnormally and Error Message "java.lang.OutOfMemoryError" Is Displayed After the Yarn Client Command Is Run?<p id="mrs_01_0854__p17611479105954"><a name="mrs_01_0854__li15025511105431"></a><a name="li15025511105431"></a>This problem occurs because the memory required for running the Yarn client exceeds the upper limit (128 MB by default) set on the Yarn client. For clusters of MRS 3.x or later: You can modify <span class="parmname" id="mrs_01_0854__parmname343303011723"><b>CLIENT_GC_OPTS</b></span> in <em id="mrs_01_0854__i8744102331515">&lt;Client installation path&gt;</em><span class="filepath" id="mrs_01_0854__filepath1067952111651"><b>/HDFS/component_env</b></span> to change the memory upper limit of the Yarn client. For example, if you want to set the maximum memory to 1 GB, run the following command:</p>
+<pre class="screen" id="mrs_01_0854__screen12103515173710">export CLIENT_GC_OPTS="-Xmx1G"</pre>
+<p id="mrs_01_0854__p947394263013">For clusters earlier than MRS 3.x: You can modify <span class="parmname" id="mrs_01_0854__parmname1347410421303"><b>GC_OPTS_YARN</b></span> in <em id="mrs_01_0854__i1045843110198">&lt; Client installation path &gt;</em><span class="filepath" id="mrs_01_0854__filepath3473164283016"><b>/HDFS/component_env</b></span> to change the memory upper limit of the Yarn client. For example, if you want to set the maximum memory to 1 GB, run the following command:</p>
+<pre class="screen" id="mrs_01_0854__screen114741425305">export GC_OPTS_YARN="-Xmx1G"</pre>
+<p id="mrs_01_0854__p6462255411821">After the modification, run the following command to make the modification take effect:</p>
+<p id="mrs_01_0854__p44359303111033"><strong id="mrs_01_0854__b47211305513">source </strong>&lt;<em id="mrs_01_0854__i187863016513">Client installation path</em>&gt;/<strong id="mrs_01_0854__b77910305510">/bigdata_env</strong></p>
+</li><li id="mrs_01_0854__li41575152105932">How Can I Set the Log Level When the Yarn Client Is Running?<p id="mrs_01_0854__p63732354111346"><a name="mrs_01_0854__li41575152105932"></a><a name="li41575152105932"></a>By default, the logs generated during the running of the Yarn client are printed to the console. The default log level is INFO. To enable the DEBUG log level for fault locating, run the following command to export an environment variable:</p>
+<p id="mrs_01_0854__p25300767111555"><strong id="mrs_01_0854__b711899611226">export YARN_ROOT_LOGGER=DEBUG,console</strong></p>
+<p id="mrs_01_0854__p54226982111623">Then run the Yarn Shell command to print DEBUG logs.</p>
+<p id="mrs_01_0854__p26281297111741">If you want to print INFO logs again, run the following command:</p>
+<p id="mrs_01_0854__p3770704811184"><strong id="mrs_01_0854__b39064806112211">export YARN_ROOT_LOGGER=INFO,console</strong></p>
+</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0851.html">Using Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0855.html b/docs/mrs/component-operation-guide/mrs_01_0855.html
new file mode 100644
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@@ -0,0 +1,32 @@
+<a name="mrs_01_0855"></a><a name="mrs_01_0855"></a>
+
+<h1 class="topictitle1">Configuring Resources for a NodeManager Role Instance</h1>
+<div id="body1590130746681"><div class="section" id="mrs_01_0855__sfd216f4a53f643f9b728da02006390a8"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0855__a5c484ea295af4db29266b083e1d65b22">If the hardware resources (such as the number of CPU cores and memory size) of the nodes for deploying NodeManagers are different but the NodeManager available hardware resources are set to the same value, the resources may be wasted or the status may be abnormal. You need to change the hardware resource configuration for each NodeManager to ensure that the hardware resources can be fully utilized.</p>
+</div>
+<div class="section" id="mrs_01_0855__s974010afef9146ae9dac740d3f4f686e"><h4 class="sectiontitle">Impact on the System</h4><p id="mrs_01_0855__a878929f01da24ed8a777ecabbd8e0149">NodeManager role instances must be restarted for the new configuration to take effect, and the role instances are unavailable during restart.</p>
+</div>
+<div class="section" id="mrs_01_0855__s208eb2bfb56047aa928c3ba193d7ed09"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_0855__ul17457173344113"><li id="mrs_01_0855__li7788153617120">For versions earlier than MRS 1.9.2: You have logged in to MRS Manager.</li><li id="mrs_01_0855__li166194613414">For MRS 1.9.2 or later: You have logged in to the MRS console.</li><li id="mrs_01_0855__li164578336411">Clusters of MRS 3.x or later: You have logged in to Manager.</li></ul>
+</div>
+<div class="section" id="mrs_01_0855__sd65b493a21d6478faefec5266189bb75"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_0855__p1856245413499">For versions earlier than MRS 1.9.2, perform the following operations:</p>
+<ol id="mrs_01_0855__ol17986124911429"><li id="mrs_01_0855__li10986949154210"><span>Log in to MRS Manager and choose <strong id="mrs_01_0855__b13802438417">Services</strong> &gt; <strong id="mrs_01_0855__b1185194334114">Yarn</strong> &gt; <strong id="mrs_01_0855__b68654318417">Instance</strong>.</span></li><li id="mrs_01_0855__li1498610493425"><span>Click <strong id="mrs_01_0855__b6742135019410">NodeManager</strong> in the <strong id="mrs_01_0855__b674225034117">Role</strong> column and go to the <strong id="mrs_01_0855__b16743550144117">Instance Configuration</strong> tab page. Select <strong id="mrs_01_0855__b1966165314210">All</strong> from the <strong id="mrs_01_0855__b441165914212">Basic</strong> drop-down list, and search for the required parameters.</span></li><li id="mrs_01_0855__li89868493421"><span>Enter <strong id="mrs_01_0855__b77282241333">yarn.nodemanager.resource.cpu-vcores</strong> in the search box, and set the number of vCPUs that can be used by NodeManager on the current node. You are advised to set this parameter to 1.5 to 2 times the number of actual logical CPUs on the node. Enter <strong id="mrs_01_0855__b161004269611">yarn.nodemanager.resource.memory-mb</strong> in the search box, and set the physical memory size that can be used by NodeManager on the current node. You are advised to set this parameter to 75% to 90% of the actual physical memory size of the node.</span><p><div class="note" id="mrs_01_0855__note398612490424"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0855__p998618492420">Enter <strong id="mrs_01_0855__b14494439571">yarn.scheduler.maximum-allocation-vcores</strong> in the search box, and set the maximum number of available CPUs in a container. Enter <strong id="mrs_01_0855__b167593361793">yarn.scheduler.maximum-allocation-mb</strong> in the search box, and set the maximum available memory of a container. The instance level cannot be changed. The parameter values need to be changed in the configuration of the Yarn service, and the Yarn service needs to be restarted for the changes to take effect.</p>
+</div></div>
+</p></li><li id="mrs_01_0855__li3986114911425"><span>Click <strong id="mrs_01_0855__b24738117143">Save Configuration</strong>, select <strong id="mrs_01_0855__b15474161131412">Restart the affected services or instances</strong>, and click <strong id="mrs_01_0855__b14826184120145">OK</strong> to restart the NodeManager role instance.</span><p><p id="mrs_01_0855__p209861649144212">After <strong id="mrs_01_0855__b18777162704210">Operation successful</strong> is displayed, click <strong id="mrs_01_0855__b112461659114115">Finish</strong>. The NodeManager role instance is started successfully.</p>
+</p></li></ol>
+<p id="mrs_01_0855__p629812359430">For versions earlier than MRS 3.<em id="mrs_01_0855__i1671583792013">x</em>, perform the following operations:</p>
+<ol id="mrs_01_0855__of644d617274e4685929f9f56a82b94a9"><li id="mrs_01_0855__l18e95b156ef54ef18425d40eec207584"><span>Choose <strong id="mrs_01_0855__b1526141117">Clusters</strong> &gt; <strong id="mrs_01_0855__b16532441211">Active Clusters</strong>, and click a cluster name. Choose <strong id="mrs_01_0855__b1125212211511">Components</strong> &gt; <strong id="mrs_01_0855__b9257122110111">Yarn</strong> &gt; <strong id="mrs_01_0855__b1925810217118">Instances</strong>.</span></li><li id="mrs_01_0855__l9fdcc93f9b2b422787a7dd51f284fa91"><span>Click <strong id="mrs_01_0855__b204501411528">NodeManager</strong> in the <strong id="mrs_01_0855__b689951415219">Role</strong> column and go to the <strong id="mrs_01_0855__b7484113117215">Instance Configuration</strong> tab page. Select <strong id="mrs_01_0855__b1695775425">All</strong> from the <strong id="mrs_01_0855__b2118442380">Basic</strong> drop-down list, and search for the required parameters.</span></li><li id="mrs_01_0855__l0c5f66d5022c48508d8a18485cdc5347"><span>Enter <strong id="mrs_01_0855__b1218648992">yarn.nodemanager.resource.cpu-vcores</strong> in the search box, and set the number of vCPUs that can be used by NodeManager on the current node. You are advised to set this parameter to 1.5 to 2 times the number of actual logical CPUs on the node. Enter <strong id="mrs_01_0855__b1076168269">yarn.nodemanager.resource.memory-mb</strong> in the search box, and set the physical memory size that can be used by NodeManager on the current node. You are advised to set this parameter to 75% to 90% of the actual physical memory size of the node.</span><p><div class="note" id="mrs_01_0855__n2c99031b56f6407cb66874704ed92ecd"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0855__a076e0b6e6c3740a2b81b5a8a3644334f">Enter <strong id="mrs_01_0855__b151140275">yarn.scheduler.maximum-allocation-vcores</strong> in the search box, and set the maximum number of available CPUs in a container. Enter <strong id="mrs_01_0855__b662762412">yarn.scheduler.maximum-allocation-mb</strong> in the search box, and set the maximum available memory of a container. The instance level cannot be changed. The parameter values need to be changed in the configuration of the Yarn service, and the Yarn service needs to be restarted for the changes to take effect.</p>
+</div></div>
+</p></li><li id="mrs_01_0855__l9b6c3d1181594cceb338d11112002711"><span>Click <strong id="mrs_01_0855__b1143411768">Save Configuration</strong>, select <strong id="mrs_01_0855__b1146843314">Restart the affected services or instances</strong>, and click <strong id="mrs_01_0855__b741845254">OK</strong> to restart the NodeManager role instance.</span><p><p id="mrs_01_0855__a67e0fd3883d24d5396e55e9c1d34e8d5"><strong id="mrs_01_0855__b1530010124152">Operation succeeded</strong> is displayed. Click <strong id="mrs_01_0855__b944112951512">Finish</strong>. The NodeManager role instance is started successfully.</p>
+</p></li></ol>
+<p id="mrs_01_0855__p57267471433">For MRS 3.<em id="mrs_01_0855__i15665652112">x</em> or later, perform the following operations:</p>
+<ol id="mrs_01_0855__ol778821044418"><li id="mrs_01_0855__li1178816103449"><span>Choose <strong id="mrs_01_0855__b205162549841647">Cluster</strong> &gt; <em id="mrs_01_0855__i185107742941647">Name of the desired cluster</em> &gt; <strong id="mrs_01_0855__b33464292841647">Services</strong> &gt; <strong id="mrs_01_0855__b46224841441647">Yarn</strong> &gt; <strong id="mrs_01_0855__b73636690341647">Instance</strong>.</span></li><li id="mrs_01_0855__li1978801054415"><span>Click the role instance name corresponding to the node where NodeManager is deployed, switch to <strong id="mrs_01_0855__b194640659541647">Instance Configuration</strong>, and select <strong id="mrs_01_0855__b72081477841647">All Configurations</strong>.</span></li><li id="mrs_01_0855__li378816109445"><span>Enter <strong id="mrs_01_0855__b812146094">yarn.nodemanager.resource.cpu-vcores</strong> in the search box, and set the number of vCPUs that can be used by NodeManager on the current node. You are advised to set this parameter to 1.5 to 2 times the number of actual logical CPUs on the node. Enter <strong id="mrs_01_0855__b168743465841647">yarn.nodemanager.resource.memory-mb</strong> in the search box, and set the physical memory size that can be used by NodeManager on the current node. You are advised to set this parameter to 75% of the actual physical memory size of the node.</span><p><div class="note" id="mrs_01_0855__note1078861074419"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0855__p16788131014414">Enter <strong id="mrs_01_0855__b759593225">yarn.scheduler.maximum-allocation-vcores</strong> in the search box, and set the maximum number of available CPUs in a container. Enter <strong id="mrs_01_0855__b1516639029">yarn.scheduler.maximum-allocation-mb</strong> in the search box, and set the maximum available memory of a container. The instance level cannot be changed. The parameter values need to be changed in the configuration of the Yarn service, and the Yarn service needs to be restarted for the changes to take effect.</p>
+</div></div>
+</p></li><li id="mrs_01_0855__li1678801017447"><span>Click <strong id="mrs_01_0855__b72643058341647">Save</strong>, and then click <strong id="mrs_01_0855__b32533986341647">OK</strong>. to restart the NodeManager role instance.</span><p><p id="mrs_01_0855__p18788410114414">A message is displayed, indicating that the operation is successful. Click <strong id="mrs_01_0855__b9458133002616">Finish</strong>. The NodeManager role instance is started successfully.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0851.html">Using Yarn</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_0856"></a><a name="mrs_01_0856"></a>
+
+<h1 class="topictitle1">Changing NodeManager Storage Directories</h1>
+<div id="body1590130746685"><div class="section" id="mrs_01_0856__s961978f8a3e94ca9b84b6180eec1e507"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0856__a7edb8e0639c74282bf157c9e3e997a15">If the storage directories defined by the Yarn NodeManager are incorrect or the Yarn storage plan changes, the system administrator needs to modify the NodeManager storage directories on Manager to ensure that the Yarn works properly. The storage directories of NodeManager include the local storage directory <strong id="mrs_01_0856__b10844955674139">yarn.nodemanager.local-dirs</strong> and log directory <strong id="mrs_01_0856__b10873753944139">yarn.nodemanager.log-dirs</strong>. Changing the ZooKeeper storage directory includes the following scenarios:</p>
+<ul id="mrs_01_0856__uaf344b192f3a49f4a8c5800c47a48b0f"><li id="mrs_01_0856__l43b8819497594710ae09d2d22a1f8397">Change the storage directory of the NodeManager role. In this way, the storage directories of all NodeManager instances are changed.</li><li id="mrs_01_0856__l3a628bfd1ad54ead9513dba78aad7612">Change the storage directory of a single NodeManager instance. In this way, only the storage directory of this instance is changed, and the storage directories of other instances remain the same.</li></ul>
+</div>
+<div class="section" id="mrs_01_0856__s30e2de7a0c6242a58ebcfc816d240a5b"><h4 class="sectiontitle">Impact on the System</h4><ul id="mrs_01_0856__u7edec2b31e3549a2947749f8002ba36b"><li id="mrs_01_0856__l6ad72abaeb014977b704795807545567">The cluster needs to stopped and restarted during the process of changing the storage directory of the NodeManager role, and the cluster cannot provide services before started.</li><li id="mrs_01_0856__lf81bdded3bd142128db3edb73f2dcc0f">The NodeManager instance needs to stopped and restarted during the process of changing the storage directory of the instance, and the instance at this node cannot provide services before it is started.</li><li id="mrs_01_0856__l636eb097d38c4fda92cf8e536450d1b6">The directory for storing service parameter configurations must also be updated.</li><li id="mrs_01_0856__l8456b2bd4a7042d6b96239b2f39be4c2">After the storage directories of NodeManager are changed, you need to download and install the client again.</li></ul>
+</div>
+<div class="section" id="mrs_01_0856__s5e36467c58a843c0b4b9ee2541fc115c"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_0856__u308972d1477d451789255e10109c5c14"><li id="mrs_01_0856__l2c4b2d7f534d4dd2a6df448ca0161680">New disks have been prepared and installed on each data node, and the disks are formatted.</li><li id="mrs_01_0856__l821426bc14b9432ab73a795a87bf0048">New directories have been planned for storing data in the original directories.</li><li id="mrs_01_0856__l4549b9617d3c4a3692af18f396842639">The system administrator account <strong id="mrs_01_0856__a4dbbb217424347e99c8f9be7beb80db0">admin</strong> has been prepared.</li></ul>
+</div>
+<div class="section" id="mrs_01_0856__se70ae56167c04d99ba599d31d74bc261"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_0856__p1856245413499">For versions earlier than MRS 1.9.2, perform the following operations:</p>
+<ol id="mrs_01_0856__ol2040185714498"><li id="mrs_01_0856__li15401557164917"><span>Check the environment.</span><p><ol type="a" id="mrs_01_0856__ol10409573491"><li id="mrs_01_0856__li54005774918">Log in to MRS Manager and click the cluster name. Choose <strong id="mrs_01_0856__b49291242124717">Services</strong> and check whether health status of Yarn is <strong id="mrs_01_0856__b9935134218473">Good</strong>.<ul id="mrs_01_0856__ul24085714919"><li id="mrs_01_0856__li194018573498">If yes, go to <a href="#mrs_01_0856__li64045734911">1.c</a>.</li><li id="mrs_01_0856__li540157174912">If no, go to <a href="#mrs_01_0856__li174035711490">1.b</a>.</li></ul>
+</li><li id="mrs_01_0856__li174035711490"><a name="mrs_01_0856__li174035711490"></a><a name="li174035711490"></a>Rectify the Yarn fault. No further action is required.</li><li id="mrs_01_0856__li64045734911"><a name="mrs_01_0856__li64045734911"></a><a name="li64045734911"></a>Determine whether to change the storage directory of the NodeManager role or that of a single NodeManager instance:<ul id="mrs_01_0856__ul64075714912"><li id="mrs_01_0856__li640185710497">To change the storage directory of the NodeManager role, go to <a href="#mrs_01_0856__li104015571499">2</a>.</li><li id="mrs_01_0856__li04035717491">To change the storage directory of a single NodeManager instance, go to <a href="#mrs_01_0856__li1041165717494">3</a>.</li></ul>
+</li></ol>
+</p></li><li id="mrs_01_0856__li104015571499"><a name="mrs_01_0856__li104015571499"></a><a name="li104015571499"></a><span>Change the storage directory of the NodeManager role.</span><p><ol type="a" id="mrs_01_0856__ol19408577499"><li id="mrs_01_0856__li174015734917">Click the cluster name and choose <strong id="mrs_01_0856__b919353010494">Services</strong> &gt; <strong id="mrs_01_0856__b125561032124911">Yarn</strong> &gt; <strong id="mrs_01_0856__b2546133684912">Stop</strong> to stop the Yarn service.</li><li id="mrs_01_0856__li27189471579">Log in as user <strong id="mrs_01_0856__b118941638204918">root</strong> to each node on which the Yarn service is installed, and perform the following operations:<ol class="substepthirdol" id="mrs_01_0856__ol2718174735710"><li id="mrs_01_0856__li1771818479573">Create a target directory.<p id="mrs_01_0856__p177181947125719"><a name="mrs_01_0856__li1771818479573"></a><a name="li1771818479573"></a>For example, to create the target directory <strong id="mrs_01_0856__b16711847694139">${BIGDATA_DATA_HOME}/data2</strong>, run the following command:</p>
+<p id="mrs_01_0856__p371816479576"><strong id="mrs_01_0856__a3978467248324329b61657ff473d7f71">mkdir ${BIGDATA_DATA_HOME}/data2</strong></p>
+</li><li id="mrs_01_0856__li12718147105717">Mount the target directory to the new disk.<p id="mrs_01_0856__p471811477573"><a name="mrs_01_0856__li12718147105717"></a><a name="li12718147105717"></a>For example, mount <strong id="mrs_01_0856__b5012463564139">${BIGDATA_DATA_HOME}/data2</strong> to the new disk.</p>
+</li><li id="mrs_01_0856__li17718174725718">Modify permissions on the new directory.<p id="mrs_01_0856__p971814795716"><a name="mrs_01_0856__li17718174725718"></a><a name="li17718174725718"></a>For example, to modify permissions on the <strong id="mrs_01_0856__b17504250604139">${BIGDATA_DATA_HOME}/data2</strong> directory, run the following commands:</p>
+<p id="mrs_01_0856__p571816475579"><strong id="mrs_01_0856__b9718114714579">chmod 750 ${BIGDATA_DATA_HOME}/data2 -R</strong> and <strong id="mrs_01_0856__b271817478572">chown omm:wheel ${BIGDATA_DATA_HOME}/data2 -R</strong></p>
+</li></ol>
+</li><li id="mrs_01_0856__li7401957134914">On MRS Manager, click the cluster name. Choose <strong id="mrs_01_0856__b55877312509">Services </strong>&gt; <strong id="mrs_01_0856__b059373165014">Yarn </strong>&gt; <strong id="mrs_01_0856__b18594113165017">Instance</strong>. Select the NodeManager instance of the corresponding host. Choose <span class="filepath" id="mrs_01_0856__filepath2594631125016"><b>Instance Configuration</b></span> &gt; <span class="filepath" id="mrs_01_0856__filepath55951231115012"><b>All Configurations</b></span>.<p id="mrs_01_0856__p341185744917">Change the value of <strong id="mrs_01_0856__b10230539195115">yarn.nodemanager.local-dirs</strong> or <strong id="mrs_01_0856__b14235739145113">yarn.nodemanager.log-dirs</strong> to the new target directory.</p>
+<p id="mrs_01_0856__p29361438114518">For example, change the value of <strong id="mrs_01_0856__b212911314375">yarn.nodemanager.local-dirs</strong> or <strong id="mrs_01_0856__b31135018389">yarn.nodemanager.log-dirs</strong> to <strong id="mrs_01_0856__b16121613113810">/srv/BigData/data2/nm/containerlogs</strong>.</p>
+</li><li id="mrs_01_0856__li941155715491">Click <strong id="mrs_01_0856__b6320058144139">Save Configuration</strong>, select <strong id="mrs_01_0856__b16063616314139">Restart the affected services or instances</strong>, and click <strong id="mrs_01_0856__b12871832354139">OK</strong> Restart the Yarn service.<p id="mrs_01_0856__p174119572494">Click <strong id="mrs_01_0856__b9371105343918">Finish</strong> when the system displays "Operation successful". Yarn is successfully started. No further action is required.</p>
+</li></ol>
+</p></li><li id="mrs_01_0856__li1041165717494"><a name="mrs_01_0856__li1041165717494"></a><a name="li1041165717494"></a><span>Change the storage directory of a single NodeManager instance.</span><p><ol type="a" id="mrs_01_0856__ol8411557124910"><li id="mrs_01_0856__li9411572493">Click the cluster name. Choose <strong id="mrs_01_0856__b12363250145110">Services </strong>&gt; <strong id="mrs_01_0856__b14368750125110">Yarn </strong>&gt; <strong id="mrs_01_0856__b183681550125117">Instance</strong>. Select the NodeManager instance whose storage directory needs to be modified, and choose <strong id="mrs_01_0856__b103681150185111">More </strong>&gt; <strong id="mrs_01_0856__b1369175017513">Stop Instance</strong>.</li><li id="mrs_01_0856__li776344315812">Log in to the NodeManager node as user <strong id="mrs_01_0856__b1697931175214">root</strong> and perform the following operations:<ol class="substepthirdol" id="mrs_01_0856__ol77630432588"><li id="mrs_01_0856__li16763243205812">Create a target directory.<p id="mrs_01_0856__p7763343205812"><a name="mrs_01_0856__li16763243205812"></a><a name="li16763243205812"></a>For example, to create the target directory <strong id="mrs_01_0856__b31998548387">${BIGDATA_DATA_HOME}/data2</strong>, run the following command:</p>
+<p id="mrs_01_0856__p3763114385814"><strong id="mrs_01_0856__b183527719392">mkdir ${BIGDATA_DATA_HOME}/data2</strong></p>
+</li><li id="mrs_01_0856__li27638433587">Mount the target directory to the new disk.<p id="mrs_01_0856__p137636433588"><a name="mrs_01_0856__li27638433587"></a><a name="li27638433587"></a>For example, mount <strong id="mrs_01_0856__b1070618133910">${BIGDATA_DATA_HOME}/data2</strong> to the new disk.</p>
+</li><li id="mrs_01_0856__li15763643125811">Modify permissions on the new directory.<p id="mrs_01_0856__p476324325811"><a name="mrs_01_0856__li15763643125811"></a><a name="li15763643125811"></a>For example, to modify permissions on the <strong id="mrs_01_0856__b551916279398">${BIGDATA_DATA_HOME}/data2</strong> directory, run the following commands:</p>
+<p id="mrs_01_0856__p1676344325813"><strong id="mrs_01_0856__b15326103113918">chmod 750 ${BIGDATA_DATA_HOME}/data2 -R</strong> and <strong id="mrs_01_0856__b113321631103915">chown omm:wheel ${BIGDATA_DATA_HOME}/data2 -R</strong></p>
+</li></ol>
+</li><li id="mrs_01_0856__li10411457174919">On MRS Manager, click the specified NodeManager instance and switch to the <strong id="mrs_01_0856__b434926115215">Instance Configuration</strong> tab page.<p id="mrs_01_0856__p16411357124914">Change the value of <strong id="mrs_01_0856__b20152153663911">yarn.nodemanager.local-dirs</strong> or <strong id="mrs_01_0856__b1152836183916">yarn.nodemanager.log-dirs</strong> to the new target directory.</p>
+<p id="mrs_01_0856__p470116246463">For example, change the value of <strong id="mrs_01_0856__b13122182014216">yarn.nodemanager.local-dirs</strong> or <strong id="mrs_01_0856__b1012219200213">yarn.nodemanager.log-dirs</strong> to <strong id="mrs_01_0856__b1312322014213">/srv/BigData/data2/nm/containerlogs</strong>.</p>
+</li><li id="mrs_01_0856__li74145714914">Click <strong id="mrs_01_0856__b8271132324139">Save Configuration</strong> and select <strong id="mrs_01_0856__b17469281134139">Restart the affected services or instances</strong>. Click <strong id="mrs_01_0856__b1210402694139">OK</strong> to restart the NodeManager instance.<p id="mrs_01_0856__p6411657104910">Click <strong id="mrs_01_0856__b23803473525">Finish</strong> when the system displays "Operation successful". The NodeManager instance is successfully started.</p>
+</li></ol>
+</p></li></ol>
+<p id="mrs_01_0856__p629812359430">For versions earlier than MRS 3.<em id="mrs_01_0856__i198331446112318">x</em>, perform the following operations:</p>
+<ol id="mrs_01_0856__o0c10229936384fd5b532087fbfcd094f"><li id="mrs_01_0856__l2aa0be5a3d764e51a3ce8100f4099765"><span>Check the environment.</span><p><ol type="a" id="mrs_01_0856__oaa5de429352e403293c7c36b07055fe0"><li id="mrs_01_0856__lbe4e5d3377974790a902825e246149a0">Log in to the MRS console. In the left navigation pane, choose <strong id="mrs_01_0856__b14899092024139">Clusters</strong> &gt; <strong id="mrs_01_0856__b1326027754139">Active Clusters</strong>, and click a cluster name. Choose <strong id="mrs_01_0856__b696343016271">Components </strong>and check whether health status of Yarn is <strong id="mrs_01_0856__b69711941162710">Good</strong>.<ul id="mrs_01_0856__uaff95dbb40df4a62b570a5a80942feab"><li id="mrs_01_0856__l19ed5e6880194574a9c0baae72fa5f81">If yes, go to <a href="#mrs_01_0856__la5078ba0645147aba6b90f071779368f">1.c</a>.</li><li id="mrs_01_0856__lc13dcd572de3432f9dd9e896c69fc110">If no, the Yarn status is unhealthy. Go to <a href="#mrs_01_0856__le3afaf4553c243db9a4849977eadb16f">1.b</a>.</li></ul>
+</li><li id="mrs_01_0856__le3afaf4553c243db9a4849977eadb16f"><a name="mrs_01_0856__le3afaf4553c243db9a4849977eadb16f"></a><a name="le3afaf4553c243db9a4849977eadb16f"></a>Rectify the Yarn fault. No further action is required.</li><li id="mrs_01_0856__la5078ba0645147aba6b90f071779368f"><a name="mrs_01_0856__la5078ba0645147aba6b90f071779368f"></a><a name="la5078ba0645147aba6b90f071779368f"></a>Determine whether to change the storage directory of the NodeManager role or that of a single NodeManager instance:<ul id="mrs_01_0856__u6f5df9891a78463da9ec21f68951021b"><li id="mrs_01_0856__l4537604eb857471a9d9008c453936c20">To change the storage directory of the NodeManager role, go to <a href="#mrs_01_0856__le6194cc33c3d4e1f8c058a988180165c">2</a>.</li><li id="mrs_01_0856__l7fbdf9f02821422ba6ce5b84fe8ecdf1">To change the storage directory of a single NodeManager instance, go to <a href="#mrs_01_0856__l74bdf880464b4eb18f01531e8355e3c4">3</a>.</li></ul>
+</li></ol>
+</p></li><li id="mrs_01_0856__le6194cc33c3d4e1f8c058a988180165c"><a name="mrs_01_0856__le6194cc33c3d4e1f8c058a988180165c"></a><a name="le6194cc33c3d4e1f8c058a988180165c"></a><span>Change the storage directory of the NodeManager role.</span><p><ol type="a" id="mrs_01_0856__oab28ece3185344439ac71aa53f17db01"><li id="mrs_01_0856__l5c3da02f875d4c50969afa1aef1fb861">Choose <strong id="mrs_01_0856__b1412364514139">Clusters</strong> &gt; <strong id="mrs_01_0856__b1381252324139">Active Clusters</strong>, and click a cluster name. Choose <strong id="mrs_01_0856__b1342782111288">Components </strong>&gt; <strong id="mrs_01_0856__b69202382816">Yarn </strong>&gt; <strong id="mrs_01_0856__b1351514361287">Stop </strong>to stop the Yarn service.</li><li id="mrs_01_0856__l49f341258e344f1db4d9e70f86371e0b">Log in to the ECS server and go to each node where Yarn is installed as user <strong id="mrs_01_0856__b14620101317292">root</strong>. Perform the following operations:<ol class="substepthirdol" id="mrs_01_0856__o3348a30251604c20867497d0a1272f96"><li id="mrs_01_0856__l50007476d1c743ee8aa5341af59ca77d">Create a target directory.<p id="mrs_01_0856__a1d5d814e2ed04371afa4611a3c9fb69f"><a name="mrs_01_0856__l50007476d1c743ee8aa5341af59ca77d"></a><a name="l50007476d1c743ee8aa5341af59ca77d"></a>For example, to create the target directory <strong id="mrs_01_0856__b166155612393">${BIGDATA_DATA_HOME}/data2</strong>, run the following command:</p>
+<p id="mrs_01_0856__afaf739dc12e84171a7e36686e93f8280"><strong id="mrs_01_0856__b3375175893910">mkdir ${BIGDATA_DATA_HOME}/data2</strong></p>
+</li><li id="mrs_01_0856__l5b1ac5e5dd6c4f16bf6b91d2ca68baa2">Mount the target directory to the new disk.<p id="mrs_01_0856__ae428a635854747b080d3b5ae2f85f227"><a name="mrs_01_0856__l5b1ac5e5dd6c4f16bf6b91d2ca68baa2"></a><a name="l5b1ac5e5dd6c4f16bf6b91d2ca68baa2"></a>For example, mount <strong id="mrs_01_0856__b1049627104012">${BIGDATA_DATA_HOME}/data2</strong> to the new disk.</p>
+</li><li id="mrs_01_0856__lc8c79f0ebe6a4e1186ed8c42c8139355">Modify permissions on the new directory.<p id="mrs_01_0856__a3623d170e7074e448901db2fb8c1b489"><a name="mrs_01_0856__lc8c79f0ebe6a4e1186ed8c42c8139355"></a><a name="lc8c79f0ebe6a4e1186ed8c42c8139355"></a>For example, to modify permissions on the <strong id="mrs_01_0856__b1928818139402">${BIGDATA_DATA_HOME}/data2</strong> directory, run the following commands:</p>
+<p id="mrs_01_0856__a5b2727c0f7d14c6e933d4f5bcc6de8d4"><strong id="mrs_01_0856__b2084411718403">chmod 750 ${BIGDATA_DATA_HOME}/data2 -R</strong> and <strong id="mrs_01_0856__b158455178409">chown omm:wheel ${BIGDATA_DATA_HOME}/data2 -R</strong></p>
+</li></ol>
+</li><li id="mrs_01_0856__la39c731018f34139ad19c5f3e05f8366">On the MRS console, choose <strong id="mrs_01_0856__b14592111219306">Clusters</strong> &gt; <strong id="mrs_01_0856__b4592101213309">Active Clusters</strong> and click a cluster name. Choose <strong id="mrs_01_0856__b1750164163411">Components </strong>&gt; <strong id="mrs_01_0856__b672794263418">Yarn </strong>&gt; <strong id="mrs_01_0856__b174944153410">Instances</strong>. Select the NodeManager instance of the corresponding host. Choose <span class="filepath" id="mrs_01_0856__filepath5699646219400"><b>Instance Configuration</b></span> &gt; <span class="filepath" id="mrs_01_0856__filepath39859704202315"><b>All Configurations</b></span>.<p id="mrs_01_0856__a505008200726478a80afa5a0232f1d13">Change the value of <strong id="mrs_01_0856__b362516254403">yarn.nodemanager.local-dirs</strong> or <strong id="mrs_01_0856__b17625825184011">yarn.nodemanager.log-dirs</strong> to the new target directory.</p>
+<p id="mrs_01_0856__p525812174618">For example, change the value of <strong id="mrs_01_0856__b9490182813218">yarn.nodemanager.local-dirs</strong> or <strong id="mrs_01_0856__b949052814214">yarn.nodemanager.log-dirs</strong> to <strong id="mrs_01_0856__b18491122813215">/srv/BigData/data2/nm/containerlogs</strong>.</p>
+</li><li id="mrs_01_0856__l4bd3353c56fd45d2a9809d97733985c0">Click <strong id="mrs_01_0856__b2109654317">Save Configuration</strong>, select <strong id="mrs_01_0856__b952111815">Restart the affected services or instances</strong>, and click <strong id="mrs_01_0856__b1888694244">OK</strong> Restart the Yarn service.<p id="mrs_01_0856__a67032b56be884d318c95bc29bbc6366c">Click <strong id="mrs_01_0856__b755257849">Finish</strong> when the system displays "Operation successful". Yarn is successfully started. No further action is required.</p>
+</li></ol>
+</p></li><li id="mrs_01_0856__l74bdf880464b4eb18f01531e8355e3c4"><a name="mrs_01_0856__l74bdf880464b4eb18f01531e8355e3c4"></a><a name="l74bdf880464b4eb18f01531e8355e3c4"></a><span>Change the storage directory of a single NodeManager instance.</span><p><ol type="a" id="mrs_01_0856__ocf1f1cf1f98a4436b3210dd100b92619"><li id="mrs_01_0856__l42e6d4f1531e49e6a48f773075d0f325">Choose <strong id="mrs_01_0856__b20394221834139">Clusters</strong> &gt; <strong id="mrs_01_0856__b17709691224139">Active Clusters</strong>, and click a cluster name. Choose <strong id="mrs_01_0856__b166296233409">Components </strong>&gt; <strong id="mrs_01_0856__b19147725204017">Yarn </strong>&gt; <strong id="mrs_01_0856__b105421626104013">Instances</strong>. Select the NodeManager instance whose storage directory needs to be modified, and choose <strong id="mrs_01_0856__b15811183844016">More </strong>&gt; <strong id="mrs_01_0856__b98598442401">Stop Instance</strong>.</li><li id="mrs_01_0856__le351b2f6548f49f8bf988097ff0c2b53">Log in to the ECS and go to the NodeManager node as user <strong id="mrs_01_0856__b10986554111">root</strong>. Perform the following operations:<ol class="substepthirdol" id="mrs_01_0856__o59c6a7216524417a8e52fc7f39933e46"><li id="mrs_01_0856__l864c79b2815a47df8f5cc866aee309fe">Create a target directory.<p id="mrs_01_0856__ac72e893e8148412f9d2b24ac5f237d55"><a name="mrs_01_0856__l864c79b2815a47df8f5cc866aee309fe"></a><a name="l864c79b2815a47df8f5cc866aee309fe"></a>For example, to create the target directory <strong id="mrs_01_0856__b144621744164011">${BIGDATA_DATA_HOME}/data2</strong>, run the following command:</p>
+<p id="mrs_01_0856__a6a6a32c4fb0e45a1988c5134ba21e0bd"><strong id="mrs_01_0856__b571013465400">mkdir ${BIGDATA_DATA_HOME}/data2</strong></p>
+</li><li id="mrs_01_0856__l95a6f76050c14db3bb0d58bc177e5790">Mount the target directory to the new disk.<p id="mrs_01_0856__abe1e04563143494ca267c248416592ce"><a name="mrs_01_0856__l95a6f76050c14db3bb0d58bc177e5790"></a><a name="l95a6f76050c14db3bb0d58bc177e5790"></a>For example, mount <strong id="mrs_01_0856__b104395508400">${BIGDATA_DATA_HOME}/data2</strong> to the new disk.</p>
+</li><li id="mrs_01_0856__lc959872dd69d4fa08d127e4c74311f16">Modify permissions on the new directory.<p id="mrs_01_0856__a2468dae5477647bd80edb78d067f46de"><a name="mrs_01_0856__lc959872dd69d4fa08d127e4c74311f16"></a><a name="lc959872dd69d4fa08d127e4c74311f16"></a>For example, to modify permissions on the <strong id="mrs_01_0856__b155758533406">${BIGDATA_DATA_HOME}/data2</strong> directory, run the following commands:</p>
+<p id="mrs_01_0856__a4fa981be7f2a461985db497783cdaddd"><strong id="mrs_01_0856__b1257485812408">chmod 750 ${BIGDATA_DATA_HOME}/data2 -R</strong> and <strong id="mrs_01_0856__b6575458184015">chown omm:wheel ${BIGDATA_DATA_HOME}/data2 -R</strong></p>
+</li></ol>
+</li><li id="mrs_01_0856__l8189d641da72477395cc085c2fc92cca">On the MRS console, click the specified NodeManager instance and switch to the <strong id="mrs_01_0856__b12651035194119">Instance Configuration</strong> tab page.<p id="mrs_01_0856__a7cb69490d77a4a9ab17d7423db42e9f1">Change the value of <strong id="mrs_01_0856__b3489183164117">yarn.nodemanager.local-dirs</strong> or <strong id="mrs_01_0856__b1148915304110">yarn.nodemanager.log-dirs</strong> to the new target directory.</p>
+<p id="mrs_01_0856__p925001364712">For example, change the value of <strong id="mrs_01_0856__b1560233015216">yarn.nodemanager.local-dirs</strong> or <strong id="mrs_01_0856__b156039301726">yarn.nodemanager.log-dirs</strong> to <strong id="mrs_01_0856__b1560473010214">/srv/BigData/data2/nm/containerlogs</strong>.</p>
+</li><li id="mrs_01_0856__l472e9609e9894e5ca327f54aac8ae272">Click <strong id="mrs_01_0856__b317152667">Save Configuration</strong> and select <strong id="mrs_01_0856__b2081007464">Restart the affected services or instances</strong>. Click <strong id="mrs_01_0856__b810696515">OK</strong> to restart the NodeManager instance.<p id="mrs_01_0856__ac3e9f8c3ffb04b82a325b46515161fe9">Click <strong id="mrs_01_0856__b16721637084139">Finish</strong> when the system displays "Operation successful". The NodeManager instance is successfully started.</p>
+</li></ol>
+</p></li></ol>
+<p id="mrs_01_0856__p1277805516506">For MRS 3.<em id="mrs_01_0856__i132342012233">x</em> or later, perform the following operations:</p>
+<ol id="mrs_01_0856__ol1288412182514"><li id="mrs_01_0856__li198840183518"><span>Check the environment.</span><p><ol type="a" id="mrs_01_0856__ol118842186511"><li id="mrs_01_0856__li18884918185119">Log in to Manager, choose <strong id="mrs_01_0856__b16956584214">Cluster</strong> &gt; <em id="mrs_01_0856__i310018554212">Name of the desired cluster</em> &gt; <strong id="mrs_01_0856__b310010514210">Service</strong> to check whether <strong id="mrs_01_0856__b1110014594214">Running Status</strong> of Yarn is <strong id="mrs_01_0856__b131006584215">Normal</strong>.<ul id="mrs_01_0856__ul1888451845111"><li id="mrs_01_0856__li198841418145111">If yes, go to <a href="#mrs_01_0856__li988561895113">1.c</a>.</li><li id="mrs_01_0856__li388481810519">If no, the Yarn status is unhealthy. In this case, go to <a href="#mrs_01_0856__li18885518135118">1.b</a>.</li></ul>
+</li><li id="mrs_01_0856__li18885518135118"><a name="mrs_01_0856__li18885518135118"></a><a name="li18885518135118"></a>Rectify faults of Yarn. No further action is required.</li><li id="mrs_01_0856__li988561895113"><a name="mrs_01_0856__li988561895113"></a><a name="li988561895113"></a>Determine whether to change the storage directory of the NodeManager role or that of a single NodeManager instance:<ul id="mrs_01_0856__ul158851018195120"><li id="mrs_01_0856__li5885171817511">To change the storage directory of the NodeManager role, go to <a href="#mrs_01_0856__li2885101825117">2</a>.</li><li id="mrs_01_0856__li288571875111">To change the storage directory of a single NodeManager instance, go to <a href="#mrs_01_0856__li1288531845117">3</a>.</li></ul>
+</li></ol>
+</p></li><li id="mrs_01_0856__li2885101825117"><a name="mrs_01_0856__li2885101825117"></a><a name="li2885101825117"></a><span>Change the storage directory of the NodeManager role.</span><p><ol type="a" id="mrs_01_0856__ol3885318205117"><li id="mrs_01_0856__li17885818195115">Choose <strong id="mrs_01_0856__b19051336205414">Cluster</strong> &gt; <em id="mrs_01_0856__i169051360543">Name of the desired cluster</em> &gt; <strong id="mrs_01_0856__b12906193611541">Service</strong> &gt; <strong id="mrs_01_0856__b290643645417">Yarn</strong> &gt; <strong id="mrs_01_0856__b7906536125419">Stop</strong> to stop the Yarn service.</li><li id="mrs_01_0856__li4885818135119">Log in to each data node where the Yarn service is installed as user <strong id="mrs_01_0856__b1088516183519">root</strong> and perform the following operations:<ol class="substepthirdol" id="mrs_01_0856__ol6885121845110"><li id="mrs_01_0856__li5885918105120">Create a target directory.<p id="mrs_01_0856__p1988551812518"><a name="mrs_01_0856__li5885918105120"></a><a name="li5885918105120"></a>For example, to create the target directory <strong id="mrs_01_0856__b110419184112">${BIGDATA_DATA_HOME}/data2</strong>, run the following command:</p>
+<p id="mrs_01_0856__p1188561814519"><strong id="mrs_01_0856__b1481521104116">mkdir ${BIGDATA_DATA_HOME}/data2</strong></p>
+</li><li id="mrs_01_0856__li13885161819514">Mount the target directory to the new disk.<p id="mrs_01_0856__p1088541815119"><a name="mrs_01_0856__li13885161819514"></a><a name="li13885161819514"></a>For example, mount <strong id="mrs_01_0856__b296072417414">${BIGDATA_DATA_HOME}/data2</strong> to the new disk.</p>
+</li><li id="mrs_01_0856__li2885318155110">Modify permissions on the new directory.<p id="mrs_01_0856__p16885171811519"><a name="mrs_01_0856__li2885318155110"></a><a name="li2885318155110"></a>For example, to modify permissions on the <strong id="mrs_01_0856__b1439152915412">${BIGDATA_DATA_HOME}/data2</strong> directory, run the following commands:</p>
+<p id="mrs_01_0856__p18851218145113"><strong id="mrs_01_0856__b13481153274111">chmod 750 ${BIGDATA_DATA_HOME}/data2 -R</strong> and <strong id="mrs_01_0856__b348143217412">chown omm:wheel ${BIGDATA_DATA_HOME}/data2 -R</strong></p>
+</li></ol>
+</li><li id="mrs_01_0856__li188531855110">On the Manager portal, choose <strong id="mrs_01_0856__b15561852153816">Cluster</strong> &gt; <em id="mrs_01_0856__i142113853919">Name of the desired cluster</em> &gt; <strong id="mrs_01_0856__b9258171763910">Services</strong> &gt; <strong id="mrs_01_0856__b9687202012391">Yarn</strong> &gt; <strong id="mrs_01_0856__b19626522123918">Instance</strong>. Select the NodeManager instance of the corresponding host, click <span class="filepath" id="mrs_01_0856__filepath188561816513"><b>Instance Configuration</b></span>, <span id="mrs_01_0856__text761292391813">and select </span><span class="filepath" id="mrs_01_0856__filepath1488501818518"><b>All Configurations</b></span>.<p id="mrs_01_0856__p488591885110">Change the value of <strong id="mrs_01_0856__b1423215381413">yarn.nodemanager.local-dirs</strong> or <strong id="mrs_01_0856__b102325388413">yarn.nodemanager.log-dirs</strong> to the new target directory.</p>
+<p id="mrs_01_0856__p12526124615477">For example, change the value of <strong id="mrs_01_0856__b57702341021">yarn.nodemanager.local-dirs</strong> or <strong id="mrs_01_0856__b1777117342026">yarn.nodemanager.log-dirs</strong> to <strong id="mrs_01_0856__b37721134928">/srv/BigData/data2/nm/containerlogs</strong>.</p>
+</li><li id="mrs_01_0856__li8885418125116">Click <strong id="mrs_01_0856__b9299268344139">Save</strong>, and then click <strong id="mrs_01_0856__b19327434294139">OK</strong>. Restart the Yarn service.<p id="mrs_01_0856__p1988514186518">Click <strong id="mrs_01_0856__b246015229556">Finish</strong> when the system displays "Operation successful". Yarn is successfully started. No further action is required.</p>
+</li></ol>
+</p></li><li id="mrs_01_0856__li1288531845117"><a name="mrs_01_0856__li1288531845117"></a><a name="li1288531845117"></a><span>Change the storage directory of a single NodeManager instance.</span><p><ol type="a" id="mrs_01_0856__ol8886118175112"><li id="mrs_01_0856__li1188611885113">Choose <strong id="mrs_01_0856__b356412517550">Cluster</strong> &gt; <em id="mrs_01_0856__i1456452545518">Name of the desired cluster</em> &gt; <strong id="mrs_01_0856__b956412512554">Service</strong> &gt; <strong id="mrs_01_0856__b15641725145516">Yarn</strong> &gt; <strong id="mrs_01_0856__b15565142510550">Instance</strong>, select the NodeManager instance whose storage directory needs to be modified, and choose <strong id="mrs_01_0856__b45658255552">More</strong> &gt; <strong id="mrs_01_0856__b1565025155516">Stop</strong>.</li><li id="mrs_01_0856__li68861418145112">Log in to the NodeManager node as user <strong id="mrs_01_0856__b188866180518">root</strong>, and perform the following operations:<ol class="substepthirdol" id="mrs_01_0856__ol1588612180514"><li id="mrs_01_0856__li188861218115120">Create a target directory.<p id="mrs_01_0856__p3886618105116"><a name="mrs_01_0856__li188861218115120"></a><a name="li188861218115120"></a>For example, to create the target directory <strong id="mrs_01_0856__b27591952204118">${BIGDATA_DATA_HOME}/data2</strong>, run the following command:</p>
+<p id="mrs_01_0856__p58869186518"><strong id="mrs_01_0856__b2512175416413">mkdir ${BIGDATA_DATA_HOME}/data2</strong></p>
+</li><li id="mrs_01_0856__li108863182513">Mount the target directory to the new disk.<p id="mrs_01_0856__p18886218155110"><a name="mrs_01_0856__li108863182513"></a><a name="li108863182513"></a>For example, mount <strong id="mrs_01_0856__b15655195784113">${BIGDATA_DATA_HOME}/data2</strong> to the new disk.</p>
+</li><li id="mrs_01_0856__li1388691895120">Modify permissions on the new directory.<p id="mrs_01_0856__p5886218105113"><a name="mrs_01_0856__li1388691895120"></a><a name="li1388691895120"></a>For example, to modify permissions on the <strong id="mrs_01_0856__b33426119426">${BIGDATA_DATA_HOME}/data2</strong> directory, run the following commands:</p>
+<p id="mrs_01_0856__p888612185513"><strong id="mrs_01_0856__b12983113164211">chmod 750 ${BIGDATA_DATA_HOME}/data2 -R</strong> and <strong id="mrs_01_0856__b129839315426">chown omm:wheel ${BIGDATA_DATA_HOME}/data2 -R</strong></p>
+</li></ol>
+</li><li id="mrs_01_0856__li1788612181511">On Manager, click the specified NodeManager instance, and switch to the <strong id="mrs_01_0856__b345215122716">Instance Configuration</strong> page.<p id="mrs_01_0856__p1488611817510">Change the value of <strong id="mrs_01_0856__b14962082422">yarn.nodemanager.local-dirs</strong> or <strong id="mrs_01_0856__b19719874215">yarn.nodemanager.log-dirs</strong> to the new target directory.</p>
+<p id="mrs_01_0856__p139911324194812">For example, change the value of <strong id="mrs_01_0856__b113810388218">yarn.nodemanager.local-dirs</strong> or <strong id="mrs_01_0856__b1413812387214">yarn.nodemanager.log-dirs</strong> to <strong id="mrs_01_0856__b81395380217">/srv/BigData/data2/nm/containerlogs</strong>.</p>
+</li><li id="mrs_01_0856__li1288614189518">Click <strong id="mrs_01_0856__b15192087104139">Save</strong>, and then click <strong id="mrs_01_0856__b13788783014139">OK</strong> to restart the NodeManager instance.<p id="mrs_01_0856__p6886101812514">Click <strong id="mrs_01_0856__b27617145619">Finish</strong> when the system displays "Operation successful". The NodeManager instance is successfully started.</p>
+</li></ol>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0851.html">Using Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0857.html b/docs/mrs/component-operation-guide/mrs_01_0857.html
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+<a name="mrs_01_0857"></a><a name="mrs_01_0857"></a>
+
+<h1 class="topictitle1">Configuring Strict Permission Control for Yarn</h1>
+<div id="body1590130746687"><div class="section" id="mrs_01_0857__s120de37b27bb429981d1b0b2979b03f4"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0857__ac2eb8636e4494acf9ccae66862f33c66">In the multi-tenant scenario in security mode, a cluster can be used by multiple users, and tasks of multiple users can be submitted and executed. Users are invisible to each other. A permission control mechanism is required to prevent task information of users from being obtained by other users.</p>
+<p id="mrs_01_0857__a29c16dd031b94c4ba60191096ff46945">For example, if user B logs in to the system and views the application list when the application submitted by user A is running, user B should not be able to view the application information of user A.</p>
+</div>
+<div class="section" id="mrs_01_0857__sd945f0df09ef45d8800446aa4ce49fd1"><h4 class="sectiontitle">Configuration Description</h4><ul id="mrs_01_0857__ul1981810544138"><li id="mrs_01_0857__li14180184431618">Viewing Yarn configuration parameters<p id="mrs_01_0857__p116375378544"><a name="mrs_01_0857__li14180184431618"></a><a name="li14180184431618"></a>Go to the <strong id="mrs_01_0857__b032125111268">All Configurations</strong> page of Yarn and enter a parameter name list in <a href="#mrs_01_0857__table34313276373">Table 1</a> in the search box by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0857__table34313276373"></a><a name="table34313276373"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0857__table34313276373" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0857__row94241727163717"><th align="left" class="cellrowborder" valign="top" width="33.67%" id="mcps1.3.2.2.1.2.2.4.1.1"><p id="mrs_01_0857__p164238278371">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="47.96%" id="mcps1.3.2.2.1.2.2.4.1.2"><p id="mrs_01_0857__p2423132733715">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="18.37%" id="mcps1.3.2.2.1.2.2.4.1.3"><p id="mrs_01_0857__p11423162716376">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0857__row2042552773711"><td class="cellrowborder" valign="top" width="33.67%" headers="mcps1.3.2.2.1.2.2.4.1.1 "><p id="mrs_01_0857__p194251827113712">yarn.acl.enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.96%" headers="mcps1.3.2.2.1.2.2.4.1.2 "><p id="mrs_01_0857__p1942519279371">Whether to enable Yarn permission control</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.37%" headers="mcps1.3.2.2.1.2.2.4.1.3 "><p id="mrs_01_0857__p16425727183716">true</p>
+</td>
+</tr>
+<tr id="mrs_01_0857__row8431827203719"><td class="cellrowborder" valign="top" width="33.67%" headers="mcps1.3.2.2.1.2.2.4.1.1 "><p id="mrs_01_0857__p1243122773710">yarn.webapp.filter-entity-list-by-user</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.96%" headers="mcps1.3.2.2.1.2.2.4.1.2 "><p id="mrs_01_0857__p5431132713372">Whether to enable the strict view function. After this function is enabled, a login user can view only the content that the user has the permission to view. To enable this function, set <strong id="mrs_01_0857__b103325315641330">yarn.acl.enable</strong> to <strong id="mrs_01_0857__b151002093541330">true</strong>.</p>
+<div class="note" id="mrs_01_0857__note1843120275374"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0857__p943115276374">This parameter applies to clusters of MRS 3.<em id="mrs_01_0857__i20714155863015">x</em> or later.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="18.37%" headers="mcps1.3.2.2.1.2.2.4.1.3 "><p id="mrs_01_0857__p104312027143718">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+<ul id="mrs_01_0857__ul29754223162357"><li id="mrs_01_0857__li134491336102019">Viewing MapReduce configuration parameters<div class="p" id="mrs_01_0857__p11832107112117"><a name="mrs_01_0857__li134491336102019"></a><a name="li134491336102019"></a>Go to the <strong id="mrs_01_0857__b631515513116">All Configurations</strong> page of MapReduce and enter a parameter name in <a href="#mrs_01_0857__table183214752115">Table 2</a> in the search box by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.
+<div class="tablenoborder"><a name="mrs_01_0857__table183214752115"></a><a name="table183214752115"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0857__table183214752115" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0857__row168311270215"><th align="left" class="cellrowborder" valign="top" width="33.67%" id="mcps1.3.2.3.1.1.4.2.4.1.1"><p id="mrs_01_0857__p98316762110">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="47.96%" id="mcps1.3.2.3.1.1.4.2.4.1.2"><p id="mrs_01_0857__p083118732112">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="18.37%" id="mcps1.3.2.3.1.1.4.2.4.1.3"><p id="mrs_01_0857__p148311871218">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0857__row15832473214"><td class="cellrowborder" valign="top" width="33.67%" headers="mcps1.3.2.3.1.1.4.2.4.1.1 "><p id="mrs_01_0857__p0831207122110">mapreduce.cluster.acls.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.96%" headers="mcps1.3.2.3.1.1.4.2.4.1.2 "><p id="mrs_01_0857__p14832187122111">Whether to enable permission control of MapReduce JobHistoryServer This parameter is a client parameter and takes effect after permission control is enabled on the JobHistoryServer server.</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.37%" headers="mcps1.3.2.3.1.1.4.2.4.1.3 "><p id="mrs_01_0857__p108326732114">true</p>
+</td>
+</tr>
+<tr id="mrs_01_0857__row583212742115"><td class="cellrowborder" valign="top" width="33.67%" headers="mcps1.3.2.3.1.1.4.2.4.1.1 "><p id="mrs_01_0857__p1983217718219">yarn.webapp.filter-entity-list-by-user</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.96%" headers="mcps1.3.2.3.1.1.4.2.4.1.2 "><p id="mrs_01_0857__p12874125155417">Whether to enable the strict view of MapReduce JobHistoryServer. After the strict view is enabled, a login user can view only the content that the user has the permission to view. This parameter is a server parameter of JobHistoryServer. It indicates that permission control is enabled for JHS. However, whether to control a specific application is determined by the client parameter <strong id="mrs_01_0857__b18236484236">mapreduce.cluster.acls.enabled</strong>.</p>
+<div class="note" id="mrs_01_0857__note15832479214"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0857__p3832476218">This parameter applies to clusters of MRS 3.<em id="mrs_01_0857__i7446338133314">x</em> or later.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="18.37%" headers="mcps1.3.2.3.1.1.4.2.4.1.3 "><p id="mrs_01_0857__p1983218712116">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="notice" id="mrs_01_0857__note88325718216"><span class="noticetitle"><img src="public_sys-resources/notice_3.0-en-us.png"> </span><div class="noticebody"><p id="mrs_01_0857__p1183213714216">The preceding configurations affect the RESTful API and Shell command results. After the preceding configurations are enabled, the return results of RESTful API calls and shell commands contain only the information that the user has the permission to view.</p>
+<p id="mrs_01_0857__p348839105219">If <strong id="mrs_01_0857__b11642184813315">yarn.acl.enable</strong> or <strong id="mrs_01_0857__b14596123360">mapreduce.cluster.acls.enabled</strong> is set to <strong id="mrs_01_0857__b1256151410366">false</strong>, the Yarn or MapReduce permission verification function is disabled. In this case, any user can submit tasks and view task information on Yarn or MapReduce, which poses security risks. Exercise caution when performing this operation.</p>
+</div></div>
+</div>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0851.html">Using Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0858.html b/docs/mrs/component-operation-guide/mrs_01_0858.html
new file mode 100644
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+<a name="mrs_01_0858"></a><a name="mrs_01_0858"></a>
+
+<h1 class="topictitle1">Configuring Container Log Aggregation</h1>
+<div id="body1590130746693"><div class="section" id="mrs_01_0858__s84af02b3a1434387b5b90b62364a2ef2"><h4 class="sectiontitle">Scenario</h4><div class="p" id="mrs_01_0858__a4f68a44f4ad84643be1dddfe8dafef3f">Yarn provides the container log aggregation function to collect logs generated by containers on each node to HDFS to release local disk space. You can collect logs in either of the following ways:<ul id="mrs_01_0858__uae80f2b5994d43eda36e2e24f6de36db"><li id="mrs_01_0858__l5f9709ad91354596bfae51342ce2f78c">After the application is complete, collect container logs to HDFS at a time.</li><li id="mrs_01_0858__lb75a48b95c8a4bea863d764b0beedeb9">During application running, periodically collect log segments generated by containers and save them to HDFS.</li></ul>
+</div>
+</div>
+<div class="section" id="mrs_01_0858__s687c781bede440e887c069f6a5d4064e"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_0858__a92550ce6bd694b7db0faeb54173387c0"><strong id="mrs_01_0858__b7638753135612">Navigation path for setting parameters:</strong></p>
+<p id="mrs_01_0858__p11156202312364">Go to the <strong id="mrs_01_0858__b7180911708298">All Configurations</strong> tab page of YARN, enter the parameters listed in <a href="#mrs_01_0858__te1c6a71343c044a9a63faeb4a644fb5a">Table 1</a> in the search box, modify the parameters by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>, and save the configuration. On the <strong id="mrs_01_0858__b926963998298">Dashboard</strong> tab page, choose <strong id="mrs_01_0858__b21379769208298">More</strong> &gt; <strong id="mrs_01_0858__b18550597588298">Synchronize Configuration</strong>. After the synchronization is complete, restart the YARN service.</p>
+<p id="mrs_01_0858__a9eab391ff22f449e84a893fc1d4916bf">The <span class="parmname" id="mrs_01_0858__p75825fad85c447fbbd5a9ebce41816f3"><b>yarn.nodemanager.remote-app-log-dir-suffix</b></span> parameter must be configured on the Yarn client. The configurations on the ResourceManager, NodeManager, and JobHistory nodes must be the same as those on the Yarn client.</p>
+<p id="mrs_01_0858__a1b55436b8f4b456f87ef519ce13cabd9">The periodic log collection function applies only to MapReduce applications, for which rolling output of log files must be configured. <a href="#mrs_01_0858__t969e9ceee95b43149610e8f72cf9d91f">Table 3</a> describes the configurations in the <span class="filepath" id="mrs_01_0858__ff039160e974143f4b615e35ee59b41af"><b>mapred-site.xml</b></span> configuration file on the MapReduce client node.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0858__te1c6a71343c044a9a63faeb4a644fb5a"></a><a name="te1c6a71343c044a9a63faeb4a644fb5a"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0858__te1c6a71343c044a9a63faeb4a644fb5a" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0858__r95f761897937458f85ea80c6af07ee56"><th align="left" class="cellrowborder" valign="top" width="28.16%" id="mcps1.3.2.6.2.4.1.1"><p id="mrs_01_0858__a0bf9605f26ce45889adb508d293dd0fc">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="56.67%" id="mcps1.3.2.6.2.4.1.2"><p id="mrs_01_0858__a5600d03210644c0f919c0244fe148eaf">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.17%" id="mcps1.3.2.6.2.4.1.3"><p id="mrs_01_0858__aee2c3b64b53b49f28bcbfd7d42704c3f">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0858__r38356de382164685997daa173de63d3e"><td class="cellrowborder" valign="top" width="28.16%" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_0858__ad83df65a6a0a436e9bbcb588c8e24a88">yarn.log-aggregation-enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.67%" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_0858__ae12830b272584222a0980980af2c1d36">Whether to enable container log aggregation</p>
+<ul id="mrs_01_0858__u8542f5f0f09f45609ee4a47550bd40df"><li id="mrs_01_0858__l124384e338e94ef5ab550a63c19d180b">If this parameter is set to <span class="parmvalue" id="mrs_01_0858__pd672c2609bb444cdbc769e9bfb2ef143"><b>true</b></span>, logs are collected to the HDFS directory.</li><li id="mrs_01_0858__lb975d56d2c8348a0967bd74f0c433c0b">If this parameter is set to <span class="parmvalue" id="mrs_01_0858__p4ae98e68aed54cf88e9774830861cf68"><b>false</b></span>, the function is disabled, and logs are not collected to HDFS.</li></ul>
+<p id="mrs_01_0858__a4e345c977dec4972af0e5f56c0edac15">After changing the parameter value, restart the Yarn service for the setting to take effect.</p>
+<div class="note" id="mrs_01_0858__n227ba0aa068c4dab896125a992978f9f"><span class="notetitle"> NOTE: </span><div class="notebody"><ul id="mrs_01_0858__en-us_topic_0039590391_ul7724921798"><li id="mrs_01_0858__en-us_topic_0039590391_li99858521798">The container logs that are generated before the parameter is set to <span class="parmvalue" id="mrs_01_0858__p8ed8ff2f7dba42b4a852b01687c78bd5"><b>false</b></span> and the setting takes effect cannot be obtained from the web UI.</li><li id="mrs_01_0858__l920623ce9a7d48c487e1179c9ad6f546">If you need to view the logs generated before on the web UI, you are advised to set this parameter to <span class="parmvalue" id="mrs_01_0858__p8a2ea582fa174cbaa7df1b7289c6d5e0"><b>true</b></span>.</li></ul>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="15.17%" headers="mcps1.3.2.6.2.4.1.3 "><p id="mrs_01_0858__abfbdb96c60464259b8db07b47ecca81c">true</p>
+</td>
+</tr>
+<tr id="mrs_01_0858__r3fcd7b2b5f814ff8ba54ca70feacfcf4"><td class="cellrowborder" valign="top" width="28.16%" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_0858__a539f6727d3034e7baefca7408dfc6ecd">yarn.nodemanager.log-aggregation.roll-monitoring-interval-seconds</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.67%" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_0858__aaac3c9173b6940ec90d2d9534cbd621b">Interval for NodeManager to periodically collect logs</p>
+<ul id="mrs_01_0858__u983ef8b1e1b54f1ab4002b53e244232f"><li id="mrs_01_0858__l5417ce48b91f4c86b3d988d6817fdb3d">If this parameter is set to <strong id="mrs_01_0858__b36873333153">-1</strong> or <strong id="mrs_01_0858__b13786143561520">0</strong>, periodic log collection is disabled. Logs are collected at a time after application running is complete.</li><li id="mrs_01_0858__l2c11b28c2c97412bab00e867c4c80366">The minimum collection interval can be set to 3,600 seconds. If this parameter is set to a value greater than 0 and less than 3,600, the collection interval is 3,600 seconds.</li></ul>
+<p id="mrs_01_0858__p11141183941015">Interval for NodeManager to wake up and upload logs. If this parameter is set to <strong id="mrs_01_0858__b194932314413">-1</strong> or <strong id="mrs_01_0858__b11550174904414">0</strong>, rolling monitoring is disabled and logs are aggregated when the application task is complete. The value must be greater than or equal to <strong id="mrs_01_0858__b836615004617">-1</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.17%" headers="mcps1.3.2.6.2.4.1.3 "><p id="mrs_01_0858__ab18ffba2e7ef47f9900dea046b0fd065">-1</p>
+</td>
+</tr>
+<tr id="mrs_01_0858__rfe008daa2521474485c362a06f48bb6f"><td class="cellrowborder" valign="top" width="28.16%" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_0858__aa9b8a923ba5f464e955c98c38e05c78f">yarn.nodemanager.disk-health-checker.log-dirs.max-disk-utilization-per-disk-percentage</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.67%" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_0858__a0572be89384240cb9644bb7363bd9e7f">Maximum percentage of the Yarn disk quota that can be occupied by the container log directory on each disk. When the space occupied by the log directory exceeds the value of this parameter, the periodic log collection service is triggered to start a log collection activity beyond the period to release the local disk space. Maximum space for container logs that can be provided on each disk. If the disk space occupied by container logs exceeds this threshold, data aggregation in rolling mode is triggered.</p>
+<ul id="mrs_01_0858__ul146111316175113"><li id="mrs_01_0858__li1961131617518">For clusters of versions earlier than MRS 3.x: The valid value range of the maximum disk quota percentage is 0 to 100. If the value is less than or equal to <strong id="mrs_01_0858__b1727521124714">0</strong>, it is forcibly reset to <strong id="mrs_01_0858__b14271921154710">25</strong>. If the value is greater than 100, the value is forcibly reset to <strong id="mrs_01_0858__b52852134713">25</strong>.</li><li id="mrs_01_0858__li1770116197514">For clusters of MRS 3.<em id="mrs_01_0858__i913515518544">x</em> or later: The valid value range of the maximum disk quota percentage is –1 to 100. If the value is less than –1, it is forcibly reset to <strong id="mrs_01_0858__b138531813135415">25</strong>. If the value is greater than 100, the value is forcibly reset to <strong id="mrs_01_0858__b9853161317543">25</strong>. If you set the value to <strong id="mrs_01_0858__b1597495413453">–1</strong>, the disk capacity detection function for Container log directory is disabled.</li></ul>
+<div class="note" id="mrs_01_0858__n2920423f2045493bb0a21b74e03a3413"><span class="notetitle"> NOTE: </span><div class="notebody"><ul id="mrs_01_0858__u665550358be2490e9dcf9d70634f2799"><li id="mrs_01_0858__lcba7bebdd524499ebe028df74ed08685">Percentage of the available disk space of the container log directory = Percentage of the available disk space of Yarn (<span class="parmname" id="mrs_01_0858__p812a2114503f4cc58b65916f0e6de6a5"><b>yarn.nodemanager.disk-health-checker.max-disk-utilization-per-disk-percentage</b></span>) x Percentage of the available disk space of the container log directory (<span class="parmname" id="mrs_01_0858__pc58c65166f574c5199276e89d3027428"><b>yarn.nodemanager.disk-health-checker.log-dirs.max-disk-utilization-per-disk-percentage</b></span>)</li><li id="mrs_01_0858__ld5ccb980bb3e406cb12a60af2a0444b3">Only applications with the periodic log collection function enabled can trigger log collection when the disk quota of the log directory exceeds the threshold.</li></ul>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="15.17%" headers="mcps1.3.2.6.2.4.1.3 "><p id="mrs_01_0858__a499c19c4b6b7491eb535de9f93fe047d">25</p>
+</td>
+</tr>
+<tr id="mrs_01_0858__r51b583abfb5f4bf8b8435fdffac85dd6"><td class="cellrowborder" valign="top" width="28.16%" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_0858__ab59101bd8cb440eabe87663eaf17f973">yarn.nodemanager.remote-app-log-dir-suffix</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.67%" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_0858__a58ae55e00f8c4522818f7ac7b8b64541">Name of the HDFS folder in which container logs are to be stored. This parameter and <span class="parmname" id="mrs_01_0858__p7b48f8bb1cab4dffbef541546d309f46"><b>yarn.nodemanager.remote-app-log-dir</b></span> form the full path for storing container logs. That is, <span class="filepath" id="mrs_01_0858__fc5ff335d73ef4468b9e131bfd644fe94"><b>{yarn.nodemanager.remote-app-log-dir}/${user}/{yarn.nodemanager.remote-app-log-dir-suffix}</b></span>.</p>
+<div class="note" id="mrs_01_0858__ne2e2c5a774aa4972b52b941187ca0e94"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0858__abb4370d553254652b435c00690019667"><i><span class="varname" id="mrs_01_0858__v7619f4a355994162920b9d1f1022a06d">{user}</span></i> indicates the username for running the task.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="15.17%" headers="mcps1.3.2.6.2.4.1.3 "><p id="mrs_01_0858__a84fa84f7801e44a8b6d52b389c12b1d7">logs</p>
+</td>
+</tr>
+<tr id="mrs_01_0858__r7dcf03dc6f1d4722a298a205ebcb0450"><td class="cellrowborder" valign="top" width="28.16%" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_0858__a188c09ce001f42aa93df5ac2e6dc393f">yarn.nodemanager.log-aggregator.on-fail.remain-log-in-sec</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.67%" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_0858__a7c5ad2d331194764a3d5ddc8e4b06a7e">Duration for retaining container logs on the local host after the logs fail to be collected, in second</p>
+<ul id="mrs_01_0858__udcc64cb94dc743989187f9b34bb6bbc8"><li id="mrs_01_0858__l1bc7b19709b141818aed661bbdda817f">If this parameter is set to <strong id="mrs_01_0858__b193865132712">0</strong>, local logs are deleted immediately.</li><li id="mrs_01_0858__la0cae2ab793142e1981ace3bbed7e48f">If this parameter is set to a positive number, local logs are retained for this period.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="15.17%" headers="mcps1.3.2.6.2.4.1.3 "><p id="mrs_01_0858__aa92547c825144c59acf626614c6cafd7">604800</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_0858__p641352912811">Go to the <strong id="mrs_01_0858__b4797204519335">All Configurations</strong> page of MapReduce and enter a parameter name in <a href="#mrs_01_0858__table11598435102812">Table 2</a> in the search box by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0858__table11598435102812"></a><a name="table11598435102812"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0858__table11598435102812" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0858__row2598123519288"><th align="left" class="cellrowborder" valign="top" width="28.26%" id="mcps1.3.2.8.2.4.1.1"><p id="mrs_01_0858__p175981135102819">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="56.45%" id="mcps1.3.2.8.2.4.1.2"><p id="mrs_01_0858__p859813352288">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.290000000000001%" id="mcps1.3.2.8.2.4.1.3"><p id="mrs_01_0858__p12598123518287">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0858__row959873518285"><td class="cellrowborder" valign="top" width="28.26%" headers="mcps1.3.2.8.2.4.1.1 "><p id="mrs_01_0858__p1459963542815">yarn.log-aggregation.retain-seconds</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.45%" headers="mcps1.3.2.8.2.4.1.2 "><p id="mrs_01_0858__p759953562815">Duration for retaining aggregated logs, in second</p>
+<ul id="mrs_01_0858__ul1138474311396"><li id="mrs_01_0858__li7384143133919">If this parameter is set to <strong id="mrs_01_0858__b108226124474">–1</strong>, the container logs will be retained permanently in the HDFS.</li></ul>
+<ul id="mrs_01_0858__ul859963511288"><li id="mrs_01_0858__li1859920357284">If this parameter is set to <strong id="mrs_01_0858__b5400336183813">0</strong> or a positive integer, container logs will be stored for such a period and deleted after the period expires.<div class="note" id="mrs_01_0858__note1059923511289"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0858__p4599835162817">A short period may increase load of the NameNode. Therefore, you are advised to set this parameter to a proper value.</p>
+</div></div>
+</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="15.290000000000001%" headers="mcps1.3.2.8.2.4.1.3 "><p id="mrs_01_0858__p195991835162815">1296000</p>
+</td>
+</tr>
+<tr id="mrs_01_0858__row459943532812"><td class="cellrowborder" valign="top" width="28.26%" headers="mcps1.3.2.8.2.4.1.1 "><p id="mrs_01_0858__p45991835182819">yarn.log-aggregation.retain-check-interval-seconds</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.45%" headers="mcps1.3.2.8.2.4.1.2 "><p id="mrs_01_0858__p9599835142812">Interval for storing container logs in HDFS, in second</p>
+<ul id="mrs_01_0858__ul359919359282"><li id="mrs_01_0858__li125991135112820">If this parameter is set to <strong id="mrs_01_0858__b788154313915">-1</strong> or <strong id="mrs_01_0858__b1585794514393">0</strong>, the interval will be one tenth of the period specified by <span class="parmname" id="mrs_01_0858__parmname260020354287"><b>yarn.log-aggregation.retain-seconds</b></span>.<div class="note" id="mrs_01_0858__note260033522815"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0858__p1760053552819">If this parameter is set to <strong id="mrs_01_0858__b36564157407">-1</strong> or <strong id="mrs_01_0858__b1832841718403">0</strong>, <span class="parmname" id="mrs_01_0858__parmname3600435162819"><b>yarn.log-aggregation.retain-seconds</b></span> cannot be set to <strong id="mrs_01_0858__b99471126184020">0</strong>.</p>
+</div></div>
+</li><li id="mrs_01_0858__li1060043522812">If this parameter is set to a positive number, container logs in HDFS will be scanned at such an interval.<div class="note" id="mrs_01_0858__note1660013518281"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0858__p10600123520284">A short interval may increase load of the NameNode. Therefore, you are advised to set this parameter to a proper value.</p>
+</div></div>
+</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="15.290000000000001%" headers="mcps1.3.2.8.2.4.1.3 "><p id="mrs_01_0858__p16600123582818">86400</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_0858__p1110836195517">Go to the <strong id="mrs_01_0858__b1710218053419">All Configurations</strong> page of Yarn and enter a parameter name list in <a href="#mrs_01_0858__t969e9ceee95b43149610e8f72cf9d91f">Table 3</a> in the search box by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0858__t969e9ceee95b43149610e8f72cf9d91f"></a><a name="t969e9ceee95b43149610e8f72cf9d91f"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0858__t969e9ceee95b43149610e8f72cf9d91f" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Configuring rolling output of MapReduce application log files</caption><thead align="left"><tr id="mrs_01_0858__r282dcbbab2e949c3b333a965ca69fb47"><th align="left" class="cellrowborder" valign="top" width="28.26%" id="mcps1.3.2.10.2.4.1.1"><p id="mrs_01_0858__a117e3ed290794e6da7bfa8ccbb5401ce">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="56.45%" id="mcps1.3.2.10.2.4.1.2"><p id="mrs_01_0858__a54cde717c6234435add34408ea4d0895">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.290000000000001%" id="mcps1.3.2.10.2.4.1.3"><p id="mrs_01_0858__a972798a64fed4f61b1de03c44a3a9126">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0858__rb773a6826362428a936b293b53f6dab6"><td class="cellrowborder" valign="top" width="28.26%" headers="mcps1.3.2.10.2.4.1.1 "><p id="mrs_01_0858__a2fb9eb1df3db4b5aa5aafd9ea7fdd256">mapreduce.task.userlog.limit.kb</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.45%" headers="mcps1.3.2.10.2.4.1.2 "><p id="mrs_01_0858__ab4f6a795c9ac43e0b4a3b5945e66eb25">Maximum size of a single task log file of the MapReduce application. When the maximum size of the log file has been reached, a new log file is generated. The value <strong id="mrs_01_0858__b13021656104213">0</strong> indicates that the size of the log file is not limited.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.290000000000001%" headers="mcps1.3.2.10.2.4.1.3 "><p id="mrs_01_0858__a634fc555c85b413ca95869f2a939341e">51200</p>
+</td>
+</tr>
+<tr id="mrs_01_0858__r41e828982312464391e4db66dc914737"><td class="cellrowborder" valign="top" width="28.26%" headers="mcps1.3.2.10.2.4.1.1 "><p id="mrs_01_0858__abd29fad4ed424fe5b233714eb1cebfd8">yarn.app.mapreduce.task.container.log.backups</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.45%" headers="mcps1.3.2.10.2.4.1.2 "><p id="mrs_01_0858__a8315eb9b1d534608a6cc49642df819e4">Maximum number of task logs that can be retained for the MapReduce application.</p>
+<p id="mrs_01_0858__a8cfe7a8801cb4839aca91ce806ce01aa">If this parameter is set to <strong id="mrs_01_0858__b1635114115444">0</strong>, rolling output is disabled.</p>
+<p id="mrs_01_0858__p1214952412330">Number of task log backup files when ContainerRollingLogAppender (CRLA) is used. By default, ContainerLogAppender (CLA) is used and container logs are not rolled back.</p>
+<p id="mrs_01_0858__p18699115753215">When both <strong id="mrs_01_0858__b11216125517448">mapreduce.task.userlog.limit.kb</strong> and <strong id="mrs_01_0858__b18962145915444">yarn.app.mapreduce.task.container.log.backups</strong> are greater than 0, CRLA is enabled. The value ranges from 0 to 999.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.290000000000001%" headers="mcps1.3.2.10.2.4.1.3 "><p id="mrs_01_0858__af8a84b696b594fa1b70b9a9dc7e232e3">10</p>
+</td>
+</tr>
+<tr id="mrs_01_0858__r0e049a63268b42db9a827ca668f95d22"><td class="cellrowborder" valign="top" width="28.26%" headers="mcps1.3.2.10.2.4.1.1 "><p id="mrs_01_0858__a46499f59153b44849d2e6a26b59856aa">yarn.app.mapreduce.am.container.log.limit.kb</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.45%" headers="mcps1.3.2.10.2.4.1.2 "><p id="mrs_01_0858__a5bb2355e5e294c6c880e0b216d22fa7a">Maximum size of a single ApplicationMaster log file of the MapReduce application, in KB. When the maximum size of the log file has been reached, a new log file is generated. The value <strong id="mrs_01_0858__b74681825204610">0</strong> indicates that the size of a single ApplicationMaster log file is not limited.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.290000000000001%" headers="mcps1.3.2.10.2.4.1.3 "><p id="mrs_01_0858__a3d1334c4594d4afba7562ffee4e2b453">51200</p>
+</td>
+</tr>
+<tr id="mrs_01_0858__r8e81f396f78d4e129e405dc93b167263"><td class="cellrowborder" valign="top" width="28.26%" headers="mcps1.3.2.10.2.4.1.1 "><p id="mrs_01_0858__afb01ff95ddb84dcb9615e10408d0f2de">yarn.app.mapreduce.am.container.log.backups</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.45%" headers="mcps1.3.2.10.2.4.1.2 "><p id="mrs_01_0858__p17114202833615">Maximum number of ApplicationMaster logs that can be retained for the MapReduce application. If this parameter is set to <strong id="mrs_01_0858__b51562714717">0</strong>, rolling output is disabled. Number of ApplicationMaster log backup files when CRLA is used. By default, CLA is used and container logs are not rolled back.</p>
+<p id="mrs_01_0858__a644cf3d2ebc7441089a0c2a670308ba5">When both <strong id="mrs_01_0858__b787411754817">yarn.app.mapreduce.am.container.log.limit.kb</strong> and <strong id="mrs_01_0858__b0276101884814">yarn.app.mapreduce.am.container.log.backups</strong> are greater than 0, CRLA is enabled for the ApplicationMaster. The value ranges from 0 to 999.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.290000000000001%" headers="mcps1.3.2.10.2.4.1.3 "><p id="mrs_01_0858__a46f1a26d3e1f49dcab21a8d383c373f7">20</p>
+</td>
+</tr>
+<tr id="mrs_01_0858__rb4adcbd4ce634d84a934560391fc4698"><td class="cellrowborder" valign="top" width="28.26%" headers="mcps1.3.2.10.2.4.1.1 "><p id="mrs_01_0858__a25ed55b22e5e47f4bc9a866e970ae5d3">yarn.app.mapreduce.shuffle.log.backups</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.45%" headers="mcps1.3.2.10.2.4.1.2 "><p id="mrs_01_0858__ac6525540ba4c46caa5275dab6ffc6e1d"><span id="mrs_01_0858__ph6605579511650">Maximum number of shuffle logs that can be retained for the MapReduce application. </span>If this parameter is set to <strong id="mrs_01_0858__b168321030194913">0</strong>, <span id="mrs_01_0858__ph4927147111654">rolling output is disabled</span>.</p>
+<p id="mrs_01_0858__p614951315371">When both <strong id="mrs_01_0858__b318811405015">yarn.app.mapreduce.shuffle.log.limit.kb</strong> and <strong id="mrs_01_0858__b78141592505">yarn.app.mapreduce.shuffle.log.backups</strong> are greater than 0, <strong id="mrs_01_0858__b428219196507">syslog.shuffle</strong> uses CRLA. The value ranges from 0 to 999.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.290000000000001%" headers="mcps1.3.2.10.2.4.1.3 "><p id="mrs_01_0858__affbcd5376b9e437c984d7921cb11e401">10</p>
+</td>
+</tr>
+<tr id="mrs_01_0858__r174a2ec23a414bf9b3d341df2b486ab6"><td class="cellrowborder" valign="top" width="28.26%" headers="mcps1.3.2.10.2.4.1.1 "><p id="mrs_01_0858__a67d10e85948a4e66a535328d7d213d5d">yarn.app.mapreduce.shuffle.log.limit.kb</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.45%" headers="mcps1.3.2.10.2.4.1.2 "><p id="mrs_01_0858__a7568bc0709f14f69b28c7c1983b28f0b"><span id="mrs_01_0858__ph501540101178">Maximum size of a single shuffle log file of the MapReduce application, in KB. When the maximum size of the log file has been reached, a new log file is generated. </span>If this parameter is set to <strong id="mrs_01_0858__b19358173405110">0</strong>, <span id="mrs_01_0858__ph3299369711710">the size of a single shuffle log file is not limited</span>. The value must be greater than or equal to <strong id="mrs_01_0858__b94695813522">0</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.290000000000001%" headers="mcps1.3.2.10.2.4.1.3 "><p id="mrs_01_0858__aef4d587d12cc47168d1909cfdecc8dc4">51200</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0851.html">Using Yarn</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_0859"></a><a name="mrs_01_0859"></a>
+
+<h1 class="topictitle1">Using CGroups with YARN</h1>
+<div id="body1590130746696"><p id="mrs_01_0859__p19473955182218">This section applies to MRS 3.<em id="mrs_01_0859__i86019105114">x</em> or later clusters.</p>
+<div class="section" id="mrs_01_0859__saadb2b27ba104d8bb9dbb29bec4911d0"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0859__a124c5fd80ace4ff28ed303c6c1739274">CGroups is a Linux kernel feature. In YARN this feature allows containers to be limited in their resource usage (example, CPU usage). Without CGroups, it is hard to limit the container CPU usage. Without CGroups, it is hard to limit the container CPU usage.</p>
+<div class="note" id="mrs_01_0859__nd7c2254c94c244d5b565cc0503c7afb2"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0859__a8adc9ee8a1c44a2db1338b7c1510a6a9">Currently, CGroups is only used for limiting the CPU usage.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0859__sdb8fa94b74284e0e9ece0036c04e742a"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_0859__a86a69e00bced4eea8a499d09f61e3168">CGroups is a Linux kernel feature and is enabled by using LinuxContainerExecutor. For details about how to configure the LinuxContainerExecutor for security, see the official website. You can learn the file system permissions assigned for users and user groups from documentation published on the official website.</p>
+<div class="note" id="mrs_01_0859__n2ff301597a5e4cea9f00d7cfacedb576"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0859__u5b3229c5ca2d4188b6dc73ac8a2e9d02"><li id="mrs_01_0859__l89f90106720b4e9b9450260ac314ce79">Do not modify users, user groups, and related permissions of various paths in the corresponding file system. Otherwise, functions of CGroups may become abnormal.</li><li id="mrs_01_0859__l0fb4a1d17cea44d68429d5e1a3e61e51">If the parameter value of <span class="parmname" id="mrs_01_0859__p5730396054bf4f3096286b2ab5b07ad3"><b>yarn.nodemanager.resource.percentage-physical-cpu-limit</b></span> is too small, the number of available cores may be less than one. For example, if the parameter of a four-core node is set to 20%, the number available core is less than one. As a result, all cores will be used. The Quota mode can be used in Linux versions, for example, Cent OS, that do not support Quota mode.</li></ul>
+</div></div>
+<p id="mrs_01_0859__a0ed4442ddf79469bb093942d75e2e401">The table below describes the parameter for configuring cpuset mode, that is, only configured CPUs can be used by YARN.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0859__t97b2bd7c74a543f8a43145ddc28e1af0"></a><a name="t97b2bd7c74a543f8a43145ddc28e1af0"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0859__t97b2bd7c74a543f8a43145ddc28e1af0" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0859__rf9bd600f0e4a4af3aba6abfd46933970"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.5.2.4.1.1"><p id="mrs_01_0859__a6b309f1b8b0a46f09abf4e9febbf4fb3">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.5.2.4.1.2"><p id="mrs_01_0859__a1416c4ad539048abb779b2d43549f0cf">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.5.2.4.1.3"><p id="mrs_01_0859__a03ac77592a1e429db41a257a749b8078">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0859__rf07def146587424ab9d553386a5a6ec7"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.5.2.4.1.1 "><p id="mrs_01_0859__a272e1601406f4e8a9636b687915982e1">yarn.nodemanager.linux-container-executor.cgroups.cpu-set-usage</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.5.2.4.1.2 "><p id="mrs_01_0859__ab53d0df6b0074b28bcfc99b559c1bdcc">Whether to enable the cpuset mode. If this parameter is set to <span class="parmvalue" id="mrs_01_0859__pa1f98c9888da44f18b680f6ac8b3fd79"><b>true</b></span>, the cpuset mode is enabled.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.5.2.4.1.3 "><p id="mrs_01_0859__a954b1038e7e94c2996571bfb492d7bd2">false</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_0859__a16b781a7ebb546d0aac26bccf26993e8">The table below describes the parameters for configuring the strictcpuset mode, that is, only configured CPUs can be used by containers.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0859__td100d24aaa184229963c9bf6323c0ea5"></a><a name="td100d24aaa184229963c9bf6323c0ea5"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0859__td100d24aaa184229963c9bf6323c0ea5" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0859__rf5c86e20d4e54af7af94feb5167c054a"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.7.2.4.1.1"><p id="mrs_01_0859__ab081d4c0351f402884f31ed4f0cd8cfb">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.7.2.4.1.2"><p id="mrs_01_0859__abc86ab54e2e94d6f8d67e0a174868e7b">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.7.2.4.1.3"><p id="mrs_01_0859__ad35b8737b9d54d8ebfb2fa5bb5b70034">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0859__r6bdaedbf0e784f7a9eae02813385a453"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.7.2.4.1.1 "><p id="mrs_01_0859__a80b165b9225c4b75b1fa34373fa3e190">yarn.nodemanager.linux-container-executor.cgroups.cpu-set-usage</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.7.2.4.1.2 "><p id="mrs_01_0859__a1e26c87dff5c4676ba7c473f8363bc7c">Whether to enable the cpuset mode. If this parameter is set to <span class="parmvalue" id="mrs_01_0859__p42b023a1a2954458bff5c99747ceb2d0"><b>true</b></span>, the cpuset mode is enabled.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.7.2.4.1.3 "><p id="mrs_01_0859__a0e107dd438c0477fb36fe454f0351120">false</p>
+</td>
+</tr>
+<tr id="mrs_01_0859__r76cc2057f5dc49a7b0ac348f46b0f445"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.7.2.4.1.1 "><p id="mrs_01_0859__a64f70fc9fdac4649adb3648b9b0bdfb5">yarn.nodemanager.linux-container-executor.cgroups.cpuset.strict.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.7.2.4.1.2 "><p id="mrs_01_0859__a7ae28064f5f0400ab3ff617d4e36973b">Whether containers use allocated CPUs. If this parameter is set to <strong id="mrs_01_0859__b189117218541422">true</strong>, the container can use the allocated CPUs.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.7.2.4.1.3 "><p id="mrs_01_0859__aa08b8481dc4e4a81ad86b400b042fc76">false</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_0859__aecc05901a09b41468cab3c72ff232299">To switch from cpuset mode to quota mode, the following conditions must be met:</p>
+<ul id="mrs_01_0859__ubea0f177db1c4b28b931de1892dd476f"><li id="mrs_01_0859__l2e75a342904d4fbeacf9fa393a9ff6b9">Set the <span class="parmname" id="mrs_01_0859__p55eb0a32a70142bfb65b16d882f33c1a"><b>yarn.nodemanager.linux-container-executor.cgroups.cpu-set-usage</b></span> parameter to <span class="parmvalue" id="mrs_01_0859__p51224d5c89cd4ae4b6686c91b84949e9"><b>false</b></span>.</li><li id="mrs_01_0859__lf1e118f1b18041aaa7c7b133397e3802">Delete container folders if exists.</li><li id="mrs_01_0859__en-us_topic_0039590419_li44155318457">Delete all the CUPs configured in the <strong id="mrs_01_0859__b144117212241422">cpuset.cpus</strong> file.</li></ul>
+</div>
+<div class="section" id="mrs_01_0859__section14379950172815"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0859__ol151739463396"><li id="mrs_01_0859__li617134614398"><span>Log in to Manager. Choose <strong id="mrs_01_0859__b5835195812249">Cluster</strong> &gt; <em id="mrs_01_0859__i883610587245">Name of the desired cluster</em> &gt; <strong id="mrs_01_0859__b383610584248">Services</strong> &gt; <strong id="mrs_01_0859__b1837458182411">Yarn</strong> &gt; <strong id="mrs_01_0859__b88371458192411">Configurations</strong> and select <span class="parmvalue" id="mrs_01_0859__parmvalue583713587243"><b>All Configurations</b></span>.</span></li><li id="mrs_01_0859__li20963215879"><span>In the navigation pane on the left, choose <strong id="mrs_01_0859__b138891132918">NodeManager </strong>&gt; <strong id="mrs_01_0859__b1967643182917">Customization </strong>and find the <strong id="mrs_01_0859__b4918253291">yarn-site.xml</strong> file.</span></li><li id="mrs_01_0859__li5359711175611"><span>Add the parameters in <a href="#mrs_01_0859__t97b2bd7c74a543f8a43145ddc28e1af0">Table 1</a> and <a href="#mrs_01_0859__td100d24aaa184229963c9bf6323c0ea5">Table 2</a> as user-defined parameters.</span><p><p id="mrs_01_0859__p387981613566">Based on the configuration files and parameter functions, locate the row where parameter <strong id="mrs_01_0859__b1384711718344">yarn-site.xml</strong> resides. Enter the parameter name in the <strong id="mrs_01_0859__b1299441753316">Name</strong> column and enter the parameter value in the <strong id="mrs_01_0859__b1799412177335">Value</strong> column.</p>
+<p id="mrs_01_0859__en-us_topic_0046736995_p44619987">Click <span class="uicontrol" id="mrs_01_0859__uicontrol2415133373010"><b>+</b></span> to add a customized parameter.</p>
+</p></li><li id="mrs_01_0859__en-us_topic_0046736995_li47280701"><span>Click <strong id="mrs_01_0859__b70509969441422">Save</strong>. In the displayed <strong id="mrs_01_0859__b193643191441422">Save Configuration</strong> dialog box, confirm the modification and click <strong id="mrs_01_0859__b36745150641422">OK</strong>. Click <strong id="mrs_01_0859__b15664175814219">Finish</strong> when the system displays "Operation succeeded". The configuration is successfully saved.</span><p><p id="mrs_01_0859__p63911249124619">After the configuration is saved, restart the Yarn service whose configuration has expired for the configuration to take effect.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0851.html">Using Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0860.html b/docs/mrs/component-operation-guide/mrs_01_0860.html
new file mode 100644
index 000000000..8f8a608c2
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0860.html
@@ -0,0 +1,33 @@
+<a name="mrs_01_0860"></a><a name="mrs_01_0860"></a>
+
+<h1 class="topictitle1">Configuring the Number of ApplicationMaster Retries</h1>
+<div id="body1590130746697"><div class="section" id="mrs_01_0860__s62817c06909141769df0a8910c1a58fd"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0860__afb7a1e469d6644c2af8ac1c6657a7c0b">When resources are insufficient or ApplicationMaster fails to start, a client probably encounters running errors.</p>
+</div>
+<div class="section" id="mrs_01_0860__sa9cf6c96c3a34924ab7fa807f19397ce"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_0860__a6784f4b4259842edb856ab6d2f5273c0">Go to the <strong id="mrs_01_0860__b6821223183410">All Configurations</strong> page of Yarn and enter a parameter name list in <a href="#mrs_01_0860__t5417077b8b3e4b46b7fbdef818ccc95a">Table 1</a> in the search box by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0860__t5417077b8b3e4b46b7fbdef818ccc95a"></a><a name="t5417077b8b3e4b46b7fbdef818ccc95a"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0860__t5417077b8b3e4b46b7fbdef818ccc95a" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0860__reaa5ba5f6e774eceb1490a67b261e6d9"><th align="left" class="cellrowborder" valign="top" width="20.36%" id="mcps1.3.2.3.2.4.1.1"><p id="mrs_01_0860__a0024583b41f7474a866da9edfd25d10c">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="63.41%" id="mcps1.3.2.3.2.4.1.2"><p id="mrs_01_0860__a0c9acde0b6eb40afb1e1468470bdc510">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="16.23%" id="mcps1.3.2.3.2.4.1.3"><p id="mrs_01_0860__a7c1f15b4f2a94c539d76d888fef7ff1c">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0860__r15514ce619414b6b9540679dac3f3c6d"><td class="cellrowborder" valign="top" width="20.36%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_0860__abf9085f22f684d0c9822543469188cde">yarn.resourcemanager.am.max-attempts</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.41%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_0860__aed9ac71678ba4608b352b21cb2cbe8cb">Number of retries of the ApplicationMaster. Increasing the number of retries can prevent ApplicationMaster startup failures caused by insufficient resources. This applies to global settings of all ApplicationMasters. Each ApplicationMaster can use an API to set an independent maximum number of retries. However, the number of retries cannot be greater than the global maximum number of retries. If the value is greater than the global maximum number of retries, the ResourceManager overwrites the value to allow at least one retry. The value must be greater than or equal to <strong id="mrs_01_0860__b4579181520184">1</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.23%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_0860__ad7d65524534048a09576019df5c48d28">5</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0851.html">Using Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0861.html b/docs/mrs/component-operation-guide/mrs_01_0861.html
new file mode 100644
index 000000000..37980cd0d
--- /dev/null
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@@ -0,0 +1,76 @@
+<a name="mrs_01_0861"></a><a name="mrs_01_0861"></a>
+
+<h1 class="topictitle1">Configure the ApplicationMaster to Automatically Adjust the Allocated Memory</h1>
+<div id="body1590130746699"><p id="mrs_01_0861__p4431810205817">This section applies to clusters of MRS 3.<em id="mrs_01_0861__i38681217183610">x</em> or later.</p>
+<div class="section" id="mrs_01_0861__s6769d5d3f49b4b13a1d1021094ec5270"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0861__ae580b5afe29543ff92531ee434e166b2">During the process of starting the configuration, when the ApplicationMaster creates a container, the allocated memory is automatically adjusted according to the total number of tasks, which makes resource utilization more flexible and improves the fault tolerance of the client application.</p>
+</div>
+<div class="section" id="mrs_01_0861__section3730112261910"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_0861__a92550ce6bd694b7db0faeb54173387c0"><strong id="mrs_01_0861__a9cc8efdc2b5a43d78458a4c79484c11a">Navigation path for setting parameters:</strong></p>
+<p id="mrs_01_0861__af28a32f7c205411f8fd64cbcb75f91aa">On Manager, choose <strong id="mrs_01_0861__b83656286642326">Cluster</strong> &gt; <em id="mrs_01_0861__i101411628442326">Name of the desired cluster</em> &gt; <strong id="mrs_01_0861__b5202371742326">Service</strong> &gt; <strong id="mrs_01_0861__b195665959042326">Yarn</strong> &gt; <strong id="mrs_01_0861__b58454883142326">Configuration</strong>. On the displayed page, select <span class="parmvalue" id="mrs_01_0861__parmvalue11901674491"><b>All Configurations</b></span> and enter <strong id="mrs_01_0861__b111857902842326">mapreduce.job.am.memory.policy</strong>.</p>
+<p id="mrs_01_0861__p11461151712221"><strong id="mrs_01_0861__b98603172519">Configuration description</strong></p>
+<p id="mrs_01_0861__p1964910297309">If the default value of the parameter is left empty. In this case, the automatic adjustment policy is not enabled. The memory of ApplicationMaster is still affected by the value of <strong id="mrs_01_0861__b15004432942326">yarn.app.mapreduce.am.resource.mb</strong>.</p>
+<p id="mrs_01_0861__p201502027182510">The value of <strong id="mrs_01_0861__b140948245642326">mapreduce.job.am.memory.policy</strong> consists of five items, and they are separated by colons (:) and commas (,) in the following format: <strong id="mrs_01_0861__b253985013281">baseTaskCount:taskStep:memoryStep,minMemory:maxMemory</strong>. The format is strictly checked when the value is entered.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0861__table7697021382" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0861__row16978293819"><th align="left" class="cellrowborder" valign="top" width="10.611061106110611%" id="mcps1.3.3.7.2.4.1.1"><p id="mrs_01_0861__p196971226383">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="59.94599459945995%" id="mcps1.3.3.7.2.4.1.2"><p id="mrs_01_0861__p96971724383">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="29.44294429442944%" id="mcps1.3.3.7.2.4.1.3"><p id="mrs_01_0861__p869719214386">Setting Requirement</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0861__row969716293819"><td class="cellrowborder" valign="top" width="10.611061106110611%" headers="mcps1.3.3.7.2.4.1.1 "><p id="mrs_01_0861__p11697525381">baseTaskCount</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.94599459945995%" headers="mcps1.3.3.7.2.4.1.2 "><p id="mrs_01_0861__p669722103814">Indicates the total number of tasks. The configuration of ApplicationMaster is valid only when the total number of tasks (on the sum of the Map and Reduce ends) is greater than or equal to the value of this parameter.</p>
+</td>
+<td class="cellrowborder" valign="top" width="29.44294429442944%" headers="mcps1.3.3.7.2.4.1.3 "><p id="mrs_01_0861__p86971253815">The value cannot be empty and must be greater than 0.</p>
+</td>
+</tr>
+<tr id="mrs_01_0861__row18697227387"><td class="cellrowborder" valign="top" width="10.611061106110611%" headers="mcps1.3.3.7.2.4.1.1 "><p id="mrs_01_0861__p069812233812">taskStep</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.94599459945995%" headers="mcps1.3.3.7.2.4.1.2 "><p id="mrs_01_0861__p136981321383">Indicates the incremental step length of tasks. This parameter and <strong id="mrs_01_0861__b131526975542326">memoryStep</strong> determine the memory adjustment amount.</p>
+</td>
+<td class="cellrowborder" valign="top" width="29.44294429442944%" headers="mcps1.3.3.7.2.4.1.3 "><p id="mrs_01_0861__p269852133819">The value cannot be empty and must be greater than 0.</p>
+</td>
+</tr>
+<tr id="mrs_01_0861__row16985223816"><td class="cellrowborder" valign="top" width="10.611061106110611%" headers="mcps1.3.3.7.2.4.1.1 "><p id="mrs_01_0861__p166984211383">memoryStep</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.94599459945995%" headers="mcps1.3.3.7.2.4.1.2 "><p id="mrs_01_0861__p169872183819">Indicates the incremental memory step. The memory capacity is increased based on the value of <strong id="mrs_01_0861__b21821644942326">yarn.app.mapreduce.am.resource.mb</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="29.44294429442944%" headers="mcps1.3.3.7.2.4.1.3 "><p id="mrs_01_0861__p14698112123818">The value cannot be empty and must be greater than 0. The unit is MB.</p>
+</td>
+</tr>
+<tr id="mrs_01_0861__row1369817214383"><td class="cellrowborder" valign="top" width="10.611061106110611%" headers="mcps1.3.3.7.2.4.1.1 "><p id="mrs_01_0861__p116985253815">minMemory</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.94599459945995%" headers="mcps1.3.3.7.2.4.1.2 "><p id="mrs_01_0861__p16988218388">Indicates the lower limit of the memory that can be automatically adjusted. If the memory after the automatic adjustment is less than or equal to the value of this parameter, the value of <strong id="mrs_01_0861__b199197096142326">yarn.app.mapreduce.am.resource.mb</strong> is used.</p>
+</td>
+<td class="cellrowborder" valign="top" width="29.44294429442944%" headers="mcps1.3.3.7.2.4.1.3 "><p id="mrs_01_0861__p11698828389">The value cannot be empty. It must be greater than 0 and cannot be greater than the value of <strong id="mrs_01_0861__b46893346942326">maxMemory</strong>.</p>
+<p id="mrs_01_0861__p23901442192118">Unit: MB</p>
+</td>
+</tr>
+<tr id="mrs_01_0861__row869816218382"><td class="cellrowborder" valign="top" width="10.611061106110611%" headers="mcps1.3.3.7.2.4.1.1 "><p id="mrs_01_0861__p10698928383">maxMemory</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.94599459945995%" headers="mcps1.3.3.7.2.4.1.2 "><p id="mrs_01_0861__p9698172103810">Indicates the upper limit of memory that can ve automatically adjusted. If the adjusted memory exceeds the upper limit, use this value as the final value.</p>
+</td>
+<td class="cellrowborder" valign="top" width="29.44294429442944%" headers="mcps1.3.3.7.2.4.1.3 "><p id="mrs_01_0861__p469842183811">The value cannot be empty. It must be greater than 0 and cannot be less than the value of <strong id="mrs_01_0861__b181786006942326">minMemory</strong>.</p>
+<p id="mrs_01_0861__p329164812111">Unit: MB</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_0861__section18404650181920"><h4 class="sectiontitle">Example Value</h4><p id="mrs_01_0861__p940445091913">Configuration:</p>
+<ul id="mrs_01_0861__ul78477818417"><li id="mrs_01_0861__li208479818417">yarn.app.mapreduce.am.resource.mb=1536</li><li id="mrs_01_0861__li49311512124114">mapreduce.job.am.memory.policy=100:10:50,1200:2000</li><li id="mrs_01_0861__li5112191817412">Total number of tasks of an application =120</li></ul>
+<p id="mrs_01_0861__p13553101313251">The calculation process is as follows:</p>
+<p id="mrs_01_0861__p174261648192519">Memory after adjustment = 1536 + [(120 – 100)/10] x 50 = 1636. In this example, memory after adjustment 1636 is greater than the value of <strong id="mrs_01_0861__b23209762042326">minMemory</strong> <strong id="mrs_01_0861__b26415057342326">1200</strong>, and less than the value of <strong id="mrs_01_0861__b129594626242326">maxMemory</strong> <strong id="mrs_01_0861__b156640482842326">2000</strong>. Therefore, the ApplicationMaster memory is set to <strong id="mrs_01_0861__b208166579642326">1636 MB</strong>.</p>
+<p id="mrs_01_0861__p72143353310">If the value of <strong id="mrs_01_0861__b41382538142326">memStep</strong> is changed to <strong id="mrs_01_0861__b147123247342326">250</strong>, the calculation formula is as follows: Memory after adjustment = 1536 + [(120 – 100) / 10] x 250 = 2136. In this case, the memory after adjustment is greater than the value of <strong id="mrs_01_0861__b160027681942326">maxMemory</strong> <strong id="mrs_01_0861__b117719370442326">2000</strong>. As a result, the value of <strong id="mrs_01_0861__b22653852142326">ApplicationMaster</strong> is set to <strong id="mrs_01_0861__b140307136142326">2000 MB</strong>.</p>
+<div class="note" id="mrs_01_0861__note9961319171"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0861__p696110192719">If the memory after adjustment is lower than the value of <strong id="mrs_01_0861__b199757475842326">minMemory</strong>, the configuration does not take effect but the value is still printed on the backend server. This value is provided as the reference for adjusting the value of <strong id="mrs_01_0861__b123595957542326">minMemory</strong>.</p>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0851.html">Using Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0862.html b/docs/mrs/component-operation-guide/mrs_01_0862.html
new file mode 100644
index 000000000..28e8c46e2
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0862.html
@@ -0,0 +1,20 @@
+<a name="mrs_01_0862"></a><a name="mrs_01_0862"></a>
+
+<h1 class="topictitle1">Configuring the Access Channel Protocol</h1>
+<div id="body1590130746701"><div class="section" id="mrs_01_0862__s6769d5d3f49b4b13a1d1021094ec5270"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0862__ae580b5afe29543ff92531ee434e166b2">The value of the <strong id="mrs_01_0862__b1399413204318">yarn.http.policy</strong> parameter must be consistent on both the server and clients. Web UIs on clients will be garbled if an inconsistency exists, for example, the parameter value is <strong id="mrs_01_0862__b16169957164420">HTTPS_ONLY</strong> on the server but it is left unspecified on a client (the parameter value <strong id="mrs_01_0862__b17241213184512">HTTP_ONLY</strong> is applied to the client by default). Set the <strong id="mrs_01_0862__b95237567547">yarn.http.policy</strong> parameters on the clients and server to prevent garbled characters from being displayed on the clients.</p>
+</div>
+<div class="section" id="mrs_01_0862__sc189a4e71ea840e68c2958022242cf9b"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0862__ol10928106115515"><li id="mrs_01_0862__li6273159182112"><span>On Manager, choose <strong id="mrs_01_0862__b2065692065513">Cluster</strong> &gt; <em id="mrs_01_0862__i1660920175516">Name of the desired cluster</em> &gt; <strong id="mrs_01_0862__b136617207550">Services</strong> &gt; <strong id="mrs_01_0862__b17661420105514">Yarn</strong> &gt; <strong id="mrs_01_0862__b96612201556">Configurations</strong>. On the displayed page, select <span class="parmvalue" id="mrs_01_0862__parmvalue11901674491"><b>All Configurations</b></span> and enter <strong id="mrs_01_0862__b4662192019554">yarn.http.policy</strong>.</span><p><ul id="mrs_01_0862__ul165713444231"><li id="mrs_01_0862__li657044122315">In security mode, set this parameter to <strong id="mrs_01_0862__b1530325795610">HTTPS_ONLY</strong>.</li><li id="mrs_01_0862__li0350255142319">In normal mode, set this parameter to <strong id="mrs_01_0862__b13283192245710">HTTP_ONLY</strong>.</li></ul>
+</p></li><li id="mrs_01_0862__li14928767556"><span>Log in to the node where the client is installed as the client installation user.</span></li><li id="mrs_01_0862__li16928186105510"><span>Run the following command to switch to the client installation directory:</span><p><p id="mrs_01_0862__p557314515545"><strong id="mrs_01_0862__b757384520543">cd</strong><strong id="mrs_01_0862__b1357334514544"> /opt/client</strong></p>
+</p></li><li id="mrs_01_0862__li1292812610553"><span>Run the following command to edit the <strong id="mrs_01_0862__b8423102994619">yarn-site.xml</strong> file:</span><p><p id="mrs_01_0862__p85731545195412"><strong id="mrs_01_0862__b1573184555417">vi </strong><strong id="mrs_01_0862__b9705174065717">Yarn/config/yarn-site.xml</strong></p>
+<p id="mrs_01_0862__p10411747135811">Change the value of <strong id="mrs_01_0862__b1686373974612">yarn.http.policy</strong>.</p>
+<p id="mrs_01_0862__p8562862511">In security mode, set this parameter to <span class="parmvalue" id="mrs_01_0862__parmvalue17563802515"><b>HTTPS_ONLY</b></span>.</p>
+<p id="mrs_01_0862__p5750164182510">In normal mode, set this parameter to <span class="parmvalue" id="mrs_01_0862__parmvalue173966803"><b>HTTP_ONLY</b></span>.</p>
+</p></li><li id="mrs_01_0862__li189286635516"><span>Run the <strong id="mrs_01_0862__b1997965315464">:wq</strong> command to save execution.</span></li><li id="mrs_01_0862__li99285645518"><span>Restart the client for the settings to take effect.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0851.html">Using Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0863.html b/docs/mrs/component-operation-guide/mrs_01_0863.html
new file mode 100644
index 000000000..4ccd3c332
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0863.html
@@ -0,0 +1,44 @@
+<a name="mrs_01_0863"></a><a name="mrs_01_0863"></a>
+
+<h1 class="topictitle1">Configuring Memory Usage Detection</h1>
+<div id="body1590130746703"><div class="section" id="mrs_01_0863__s833783e0382945ffb36043b2ebfc38f5"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0863__ac60ec6335b124df4940f97e5108a615e">If memory usage of the submitted application cannot be estimated, you can modify the configuration on the server to determine whether to check the memory usage.</p>
+<p id="mrs_01_0863__a051967401cce423684fb8a425e4f2e96">If the memory usage is not checked, the container occupies the memory until the memory overflows. If the memory usage exceeds the configured memory size, the corresponding container is killed.</p>
+</div>
+<div class="section" id="mrs_01_0863__s75810073abb84468886b8cda5fe7a06f"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_0863__p174817142511">Go to the <strong id="mrs_01_0863__b1922110193512">All Configurations</strong> page of Yarn and enter a parameter name in the search box by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0863__tb399ec00d2b14bbf8761d15ffc79bfdf" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0863__rd820ba286d934c789647915337072fd6"><th align="left" class="cellrowborder" valign="top" width="20.18%" id="mcps1.3.2.3.2.4.1.1"><p id="mrs_01_0863__a52a770bc60144c6e869928c317851a81">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="63.59%" id="mcps1.3.2.3.2.4.1.2"><p id="mrs_01_0863__abfd986bc9e22436bb7312b4b8516dccb">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="16.23%" id="mcps1.3.2.3.2.4.1.3"><p id="mrs_01_0863__a1bea9c7f933349c5ae945107e02a1190">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0863__rf1cf847547fb4aa0ac29fb66c2adf98b"><td class="cellrowborder" valign="top" width="20.18%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_0863__abb96f8be0e9349bc89affac5aae8abd5">yarn.nodemanager.vmem-check-enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.59%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_0863__en-us_topic_0039590274_p754136610163">Whether to enable virtual memory usage detection. If the memory used by a task exceeds the allocated memory size, the task is forcibly stopped.</p>
+<ul id="mrs_01_0863__ub067c8fbc7114898b00ab626771e93e1"><li id="mrs_01_0863__lde3e0e677e5b40f4b06bef9943338f21">If the value is <strong id="mrs_01_0863__b564696101613">true</strong>, the virtual memory will be checked.</li><li id="mrs_01_0863__l20a9366838b848099c936b7f54ae7ed9">If the value is <strong id="mrs_01_0863__b6891016101611">false</strong>, the virtual memory will not be checked.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="16.23%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_0863__p369617911619">For versions earlier than MRS 3.x: false</p>
+<p id="mrs_01_0863__p164411593152">For MRS 3.x or later:  true</p>
+</td>
+</tr>
+<tr id="mrs_01_0863__r6a93d9cb637c4e2b8ce632b84ae89f75"><td class="cellrowborder" valign="top" width="20.18%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_0863__a63c6cd916e304d289fc459eab07663c3">yarn.nodemanager.pmem-check-enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.59%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_0863__a72792f8694d544edb9b0e26684cd1be0">Whether to enable physical memory usage detection. If the memory used by a task exceeds the allocated memory size, the task is forcibly stopped.</p>
+<ul id="mrs_01_0863__u9fbd2c6479bf471e99b67457b7a3143f"><li id="mrs_01_0863__lf703e2012da54373b0c43e12324e42a7">If the value is <strong id="mrs_01_0863__b179077509169">true</strong>, the physical memory will be checked.</li><li id="mrs_01_0863__l623e1b8954d14e9989ddc73ac23851a5">If the value is <strong id="mrs_01_0863__b161162520175">false</strong>, the physical memory will not be checked.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="16.23%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_0863__ae370931e9c504413b941e76e2fa32e59">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0851.html">Using Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0864.html b/docs/mrs/component-operation-guide/mrs_01_0864.html
new file mode 100644
index 000000000..efd83896e
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0864.html
@@ -0,0 +1,40 @@
+<a name="mrs_01_0864"></a><a name="mrs_01_0864"></a>
+
+<h1 class="topictitle1">Configuring the Additional Scheduler WebUI</h1>
+<div id="body1590130747741"><div class="section" id="mrs_01_0864__s37c730ce0c054212a23c016fbaba61b6"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0864__a8100a07d695240cdb50099c8dafa00e9">If the custom scheduler is set in ResourceManager, you can set the corresponding web page and other Web applications for the custom scheduler.</p>
+</div>
+<div class="section" id="mrs_01_0864__s69319c750d0e494ea47bb3aaae5c5ce8"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_0864__a77ac85c73b2e4bbf813d2ddbfeffc049">Go to the <strong id="mrs_01_0864__b1847345111368">All Configurations</strong> page of Yarn and enter a parameter name in the search box by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0864__t136ab0285eac424a82e1f09be6961c36" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Configuring the Additional Scheduler WebUI</caption><thead align="left"><tr id="mrs_01_0864__r36b33099b4b7468c89791d942ea6151a"><th align="left" class="cellrowborder" valign="top" width="33.33%" id="mcps1.3.2.3.2.4.1.1"><p id="mrs_01_0864__ab0813cb57879493da2024de83ff18dca"><strong id="mrs_01_0864__aaa7ba5c75c2a42528d8fbc3ec758e066">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="47.620000000000005%" id="mcps1.3.2.3.2.4.1.2"><p id="mrs_01_0864__aec2a220ff8e04922a6a5f6490dbee836"><strong id="mrs_01_0864__af5c27899ef7e4ec9a56831c26e70380c">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="19.05%" id="mcps1.3.2.3.2.4.1.3"><p id="mrs_01_0864__a071afd2b985e42ee80bc275e4247a061">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0864__radbe7c103d9c48788e63029e22570819"><td class="cellrowborder" valign="top" width="33.33%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_0864__afb7bb891ff51415d83db0a8873d9e940">hadoop.http.rmwebapp.scheduler.page.classes</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.620000000000005%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_0864__a9e355241056c4103af0288bc2b347892">Load the corresponding web page for the custom scheduler on the RM WebUI. This parameter is valid only when <strong id="mrs_01_0864__b109384488408">yarn.resourcemanager.scheduler.class</strong> is set to a custom scheduler.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.05%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_0864__a1a5531afa3ac419a8e13e9de90e29c31">-</p>
+</td>
+</tr>
+<tr id="mrs_01_0864__rf64a124e17b4436097dbf65878afa2dc"><td class="cellrowborder" valign="top" width="33.33%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_0864__a87568a733f1049bf8c5930158b37cd27">yarn.http.rmwebapp.external.classes</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.620000000000005%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_0864__a505bb1e6147d456f9892c8d894f9a1cd">Load the custom web application in the RM Web service.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.05%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_0864__a50df28edde4e4e3db3a4228f127df6e9">-</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0851.html">Using Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0865.html b/docs/mrs/component-operation-guide/mrs_01_0865.html
new file mode 100644
index 000000000..94dd0d9a5
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0865.html
@@ -0,0 +1,108 @@
+<a name="mrs_01_0865"></a><a name="mrs_01_0865"></a>
+
+<h1 class="topictitle1">Configuring Yarn Restart</h1>
+<div id="body1590130747745"><div class="section" id="mrs_01_0865__s1113b633d370497992b2e7d82c26dc4c"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0865__af13c587bb11f4a64853ba85eb5444b8c">The Yarn Restart feature includes ResourceManager Restart and NodeManager Restart.</p>
+<ul id="mrs_01_0865__u1f7365b2ca404e5ea96c2422d42f87c0"><li id="mrs_01_0865__l674887dae81347dfaf9012b9f0366892">When ResourceManager Restart is enabled, the new active ResourceManager node loads the information of the previous active ResourceManager node, and takes over container status information on all NodeManager nodes to continue service running. In this way, status information can be saved by periodically executing checkpoint operations, avoiding data loss.</li><li id="mrs_01_0865__l6bf26cf5d532487ea6639b3154690ffc">When NodeManager Restart is enabled, NodeManager locally saves information about containers running on the node. After NodeManager is restarted, the container running progress on the node will not be lost by restoring the saved status information.</li></ul>
+</div>
+<div class="section" id="mrs_01_0865__s0dc8a28672d64129bc7824f3962b9525"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_0865__a42d6f74f183b4420b4611455517a5477">Go to the <strong id="mrs_01_0865__b1210435913364">All Configurations</strong> page of Yarn and enter a parameter name in the search box by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+<p id="mrs_01_0865__a0aa112a1951a40469081dbe635cc7974">Configure ResourceManager Restart as follows:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0865__t63dc48a47e6b4ea1bf25a4d62d445592" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description of ResourceManager Restart</caption><thead align="left"><tr id="mrs_01_0865__r1e06b0d93be248219a0561f0640ac02d"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.4.2.4.1.1"><p id="mrs_01_0865__a1a2fa123b77240cba9899d94ff5f0da1">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="42.634263426342635%" id="mcps1.3.2.4.2.4.1.2"><p id="mrs_01_0865__ad3169d58d8724ad7aadf556c858f7eeb">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="24.032403240324033%" id="mcps1.3.2.4.2.4.1.3"><p id="mrs_01_0865__a1de149d012d64676baf5d9f95e6c160e">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0865__r6e3e39824fee45fe825724b411b67b3b"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_0865__a1fb7a7c1375a431ba9a96d56985b53ee">yarn.resourcemanager.recovery.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.634263426342635%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_0865__a066a7bdf09b548e3a3d959af5e5d8714">Whether to enable ResourceManager to restore the status after startup. If this parameter is set to <strong id="mrs_01_0865__b121845325244">true</strong>, <strong id="mrs_01_0865__b43861735112417">yarn.resourcemanager.store.class</strong> must also be set.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.032403240324033%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_0865__a1fea492615c741a9b6b9f6be5b47f0d1">true</p>
+</td>
+</tr>
+<tr id="mrs_01_0865__r6e6d66d356194a0284a6c53c4ee873e2"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_0865__a3c542e5a40224d53bd5d41c61ca98458">yarn.resourcemanager.store.class</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.634263426342635%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_0865__afcd43b293cd54800bd688a18ba267695">State-store class used to store the application and task statuses and certificate content.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.032403240324033%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_0865__p94787450916">For clusters of versions earlier than MRS 3.x: <strong id="mrs_01_0865__b1498523774710">org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore</strong></p>
+<p id="mrs_01_0865__p1834617579210">For clusters of MRS 3.<em id="mrs_01_0865__i143191154124119">x</em> or later:</p>
+<p id="mrs_01_0865__p101612171431">org.apache.hadoop.yarn.server.resourcemanager.recovery.AsyncZKRMStateStore</p>
+</td>
+</tr>
+<tr id="mrs_01_0865__r52d6d08b63584fa1b56014755d02ff3f"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_0865__ad165de1d97a9406888e78787576c1641"><span id="mrs_01_0865__p479e6c8b5dd544538caa8373be59ec64">yarn.resourcemanager.zk-state-store.parent-path</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="42.634263426342635%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_0865__a18cb8b365e914b3ba1548b02bac5311a"><span id="mrs_01_0865__pa807c57354074146ab12dcd4611e0f1f">Directory for storing ZKRMStateStore in ZooKeeper</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="24.032403240324033%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_0865__ab0b1e9b568aa49109a26193a7f98f291"><span id="mrs_01_0865__p9730688dd6584dbcb9cae002043d275d">/rmstore</span></p>
+</td>
+</tr>
+<tr id="mrs_01_0865__r97c2e00d20894cd88d7b093654f4b145"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_0865__af5caa2b2013346d2bddcab61a7ae8069">yarn.resourcemanager.work-preserving-recovery.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.634263426342635%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_0865__a31dd8d6a22a74591a73e7e07bd622861">Whether to enable ResourceManager work serving. This configuration is used only for Yarn feature verification.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.032403240324033%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_0865__a886600f0efef42b091d48c2fd56ff205">true</p>
+</td>
+</tr>
+<tr id="mrs_01_0865__r9c26d269d75244a88b44b1f16b2ad6f3"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_0865__a6e8934a8e7e84c1c9d46e8f43405e44f">yarn.resourcemanager.state-store.async.load</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.634263426342635%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_0865__a5b764bb1c3ee4007b5960a03ac75e2a3">Whether to apply asynchronous restoration to completed applications.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.032403240324033%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_0865__a501a2b2f46a74b42821767dca5bb20b2">For clusters of versions earlier than MRS 3.x: <strong id="mrs_01_0865__b199874713494">false</strong></p>
+<p id="mrs_01_0865__p260413321615">For MRS 3.x or later: <strong id="mrs_01_0865__b951518144427">true</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_0865__rbd93b697e9c4402581c48785738b628c"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_0865__en-us_topic_0039590205_p8637661219">yarn.resourcemanager.zk-state-store.num-fetch-threads</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.634263426342635%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_0865__af764dbf8c82f46838fc30fe679f4514d">If asynchronous restoration is enabled, increasing the number of working threads can speed up the restoration of task information stored in ZooKeeper. The value must be greater than 0.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.032403240324033%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_0865__en-us_topic_0039590205_p300250851219">For clusters of versions earlier than MRS 3.x: <strong id="mrs_01_0865__b1545710334919">1</strong></p>
+<p id="mrs_01_0865__p6717151979">For MRS 3.x or later: <strong id="mrs_01_0865__b11378161494316">20</strong></p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_0865__a27ea0bd2f0574e9dbcd3b33725cc330b">Configure NodeManager Restart as follows:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0865__te8c202111b434ea5bf63358453308ff1" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Parameter description of NodeManager Restart</caption><thead align="left"><tr id="mrs_01_0865__rfdc2ff20248d46f49a6b595f597d42f5"><th align="left" class="cellrowborder" valign="top" width="33.330000000000005%" id="mcps1.3.2.6.2.4.1.1"><p id="mrs_01_0865__adf6abf8b951847e98701eef7fa8c8b98">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="42.36000000000001%" id="mcps1.3.2.6.2.4.1.2"><p id="mrs_01_0865__a79318ea543014d5c81679e9f1a895a4f">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="24.310000000000002%" id="mcps1.3.2.6.2.4.1.3"><p id="mrs_01_0865__ad0d375e89f354d9a8178eea5a974f47c">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0865__r14204378967642a09967f85a2633bd8e"><td class="cellrowborder" valign="top" width="33.330000000000005%" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_0865__a9c3a328038ce4443a06dbccb677a42c1">yarn.nodemanager.recovery.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.36000000000001%" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_0865__a975a4bf0fa54477f8dac6241692ec1c3">Whether to enable the function of collecting logs upon a log collection failure when NodeManager is restarted and whether to restore the unfinished application</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.310000000000002%" headers="mcps1.3.2.6.2.4.1.3 "><p id="mrs_01_0865__a36bddeb0647f4333b470ab22cbd3d646">true</p>
+</td>
+</tr>
+<tr id="mrs_01_0865__r3912f9a71be241cc8dc12e3493ea7b2c"><td class="cellrowborder" valign="top" width="33.330000000000005%" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_0865__a3e5f206484b14b0fac157b61dac0dbfc">yarn.nodemanager.recovery.dir</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.36000000000001%" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_0865__a09f7cd58656f4443942da84fdffb3eae">Local directory used by NodeManager to store container status It applies to clusters of MRS 3.<em id="mrs_01_0865__i2945163284411">x</em> or later.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.310000000000002%" headers="mcps1.3.2.6.2.4.1.3 "><p id="mrs_01_0865__p11581619153113">${SRV_HOME}/tmp/yarn-nm-recovery</p>
+</td>
+</tr>
+<tr id="mrs_01_0865__r06d98bd1a2484ed490a2098939a8be83"><td class="cellrowborder" valign="top" width="33.330000000000005%" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_0865__a7066f2c31e984e048c877c74397c54b2">yarn.nodemanager.recovery.supervised</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.36000000000001%" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_0865__a855106b770034b6bb1d0c29dac9c4cda">Whether NodeManager is monitored. After this parameter is enabled, NodeManager does not clear containers after exit. NodeManager assumes that it will restart and restore containers immediately.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.310000000000002%" headers="mcps1.3.2.6.2.4.1.3 "><p id="mrs_01_0865__aa1b4aba77cc54720a4b2882f7b5a28c3">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0851.html">Using Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0866.html b/docs/mrs/component-operation-guide/mrs_01_0866.html
new file mode 100644
index 000000000..5cf06bfea
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@@ -0,0 +1,60 @@
+<a name="mrs_01_0866"></a><a name="mrs_01_0866"></a>
+
+<h1 class="topictitle1">Configuring ApplicationMaster Work Preserving</h1>
+<div id="body1590130747999"><p id="mrs_01_0866__p66802238367">This section applies to clusters of MRS 3.<em id="mrs_01_0866__i13423132184717">x</em> or later.</p>
+<div class="section" id="mrs_01_0866__saa17c1bed99c473db1d73a3e864bb661"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0866__a7684363eacb741908c208b0724f86883">In YARN, ApplicationMasters run on NodeManagers just like every other container (ignoring unmanaged ApplicationMasters in this context). ApplicationMasters may break down, exit, or shut down. If an ApplicationMaster node goes down, ResourceManager kills all the containers of ApplicationAttempt, including containers running on NodeManager. ResourceManager starts a new ApplicationAttempt node on another compute node.</p>
+<p id="mrs_01_0866__a4f6f2930b42f4e9ca70e902db3de901e">For different types of applications, we want to handle ApplicationMaster restart events in different ways. MapReduce applications aim to prevent task loss but allow the loss of the currently running container. However, for the long-period YARN service, users may not want the service to stop due to the ApplicationMaster fault.</p>
+<p id="mrs_01_0866__a8dde8b1f1a184ef580b949cfbcd8df6f">YARN can retain the status of the container when a new ApplicationAttempt is started. Therefore, running jobs can continue to operate without faults.</p>
+<div class="fignone" id="mrs_01_0866__fe7dbbe9f085440239b864dd3af9526f4"><span class="figcap"><b>Figure 1 </b>ApplicationMaster job preserving</span><br><span><img id="mrs_01_0866__i6864d4001cd34bb1bab6cbc1bf04d06c_1" src="en-us_image_0000001349170153.png"></span></div>
+</div>
+<div class="section" id="mrs_01_0866__sf7368691fe444bce8d775f6509226cc4"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_0866__a42d6f74f183b4420b4611455517a5477">Go to the <strong id="mrs_01_0866__b1329910004718">All Configurations</strong> page of Yarn and enter a parameter name in the search box by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+<p id="mrs_01_0866__a01a735d79c814a01bf3419d1825d0987">Set the following parameters based on <a href="#mrs_01_0866__t1a0e88c97d9a4677a9cc829ad32263d3">Table 1</a>.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0866__t1a0e88c97d9a4677a9cc829ad32263d3"></a><a name="t1a0e88c97d9a4677a9cc829ad32263d3"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0866__t1a0e88c97d9a4677a9cc829ad32263d3" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0866__rdf809810ac11430588466aeb1475154c"><th align="left" class="cellrowborder" valign="top" width="27.139999999999997%" id="mcps1.3.3.4.2.4.1.1"><p id="mrs_01_0866__a1c5c97156c7f47a9b1958bdb2ac7aab6">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="57.57%" id="mcps1.3.3.4.2.4.1.2"><p id="mrs_01_0866__a5020346f959d4ec0b36eab73257dd31f">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.290000000000001%" id="mcps1.3.3.4.2.4.1.3"><p id="mrs_01_0866__a0af746d6f5e144b0afb14cad03e45bb7">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0866__r02d4a198a910483fa2b453b0ee18a9f0"><td class="cellrowborder" valign="top" width="27.139999999999997%" headers="mcps1.3.3.4.2.4.1.1 "><p id="mrs_01_0866__p198662039528">yarn.app.mapreduce.am.work-preserve</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.57%" headers="mcps1.3.3.4.2.4.1.2 "><p id="mrs_01_0866__p41601041123412">Whether to enable the ApplicationMaster job retention feature.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.290000000000001%" headers="mcps1.3.3.4.2.4.1.3 "><p id="mrs_01_0866__a91ff33c4b3934678bc17ccedb687bb96">false</p>
+</td>
+</tr>
+<tr id="mrs_01_0866__r46880e9dab9d488489020620b918ac40"><td class="cellrowborder" valign="top" width="27.139999999999997%" headers="mcps1.3.3.4.2.4.1.1 "><p id="mrs_01_0866__p4503134892913">yarn.app.mapreduce.am.umbilical.max.retries</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.57%" headers="mcps1.3.3.4.2.4.1.2 "><p id="mrs_01_0866__p19433101083612">Maximum number of attempts to restore a running container in the ApplicationMaster job retention feature.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.290000000000001%" headers="mcps1.3.3.4.2.4.1.3 "><p id="mrs_01_0866__p19304458134">5</p>
+</td>
+</tr>
+<tr id="mrs_01_0866__r1c9f9d5d4e6d4e9a9cdf1b830cc6db04"><td class="cellrowborder" valign="top" width="27.139999999999997%" headers="mcps1.3.3.4.2.4.1.1 "><p id="mrs_01_0866__p129811954102918">yarn.app.mapreduce.am.umbilical.retry.interval</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.57%" headers="mcps1.3.3.4.2.4.1.2 "><p id="mrs_01_0866__p208513223515">Specifies the interval at which a running container attempts to recover in the ApplicationMaster job retention feature. Unit: millisecond</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.290000000000001%" headers="mcps1.3.3.4.2.4.1.3 "><p id="mrs_01_0866__p693484417357">10000</p>
+</td>
+</tr>
+<tr id="mrs_01_0866__r1f8237bb6ebb466e90f472f5d09c0c85"><td class="cellrowborder" valign="top" width="27.139999999999997%" headers="mcps1.3.3.4.2.4.1.1 "><p id="mrs_01_0866__a7a91de69bfd84276b9145902ed13b213">yarn.resourcemanager.am.max-attempts</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.57%" headers="mcps1.3.3.4.2.4.1.2 "><p id="mrs_01_0866__en-us_topic_0039590234_p612589915552">The number of retries of ApplicationMaster. Increasing the number of retries prevents ApplicationMaster startup failures caused by insufficient resources.</p>
+<p id="mrs_01_0866__p115555714268">This applies to global settings of all ApplicationMasters. Each ApplicationMaster can use an API to set an independent maximum number of retries. However, the number of retries cannot be greater than the global maximum number of retries. If the value is greater than the global maximum number of retries, the ResourceManager overwrites the value The value must be greater than or equal to <strong id="mrs_01_0866__b209142773642354">1</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.290000000000001%" headers="mcps1.3.3.4.2.4.1.3 "><p id="mrs_01_0866__aba4daf5a67a84db8925ef90b95608490">2</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0851.html">Using Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0867.html b/docs/mrs/component-operation-guide/mrs_01_0867.html
new file mode 100644
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@@ -0,0 +1,41 @@
+<a name="mrs_01_0867"></a><a name="mrs_01_0867"></a>
+
+<h1 class="topictitle1">Configuring the Localized Log Levels</h1>
+<div id="body1590130748001"><p id="mrs_01_0867__p66802238367">This section applies to clusters of MRS 3.<em id="mrs_01_0867__i14826821195919">x</em> or later.</p>
+<div class="section" id="mrs_01_0867__s990da5b599824a12b2f8225483b0e071"><h4 class="sectiontitle">Scenarios</h4><p id="mrs_01_0867__a5ab6ad659ba84bf0a269f196bc189af3">The default log level of localized container is <strong id="mrs_01_0867__b209217892642444">INFO</strong>. You can change the log level by configuring <span class="parmname" id="mrs_01_0867__p7b22cd2663784c23bed8bb1648ca6e6f"><b>yarn.nodemanager.container-localizer.java.opts</b></span>.</p>
+</div>
+<div class="section" id="mrs_01_0867__scc3409cedf794d52baf9ca864b1abf1a"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_0867__p7596195714312">On Manager, choose <strong id="mrs_01_0867__b2481171412373">Cluster </strong>&gt; <em id="mrs_01_0867__i19563317103711">Name of the desired cluster</em> &gt; <strong id="mrs_01_0867__b1278801913717">Service </strong>&gt; <strong id="mrs_01_0867__b1824516213375">Yarn </strong>&gt; <strong id="mrs_01_0867__b11876322163710">Configuration</strong>. Select <span class="parmvalue" id="mrs_01_0867__parmvalue11901674491"><b>All Configurations</b></span> and set the following parameters in the configuration file <span class="filepath" id="mrs_01_0867__f48df2614b65a4d979495c15d03ac4ef8"><b>yarn-site.xml</b></span> of NodeManager to change the log level.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0867__t7d140fb95ac94e518cac42efe5b6d9a9" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0867__rd54dc32f171e43f4b01575210a6665e2"><th align="left" class="cellrowborder" valign="top" width="33.226677332266775%" id="mcps1.3.3.3.2.4.1.1"><p id="mrs_01_0867__en-us_topic_0039590405_p267079291028"><strong id="mrs_01_0867__a3c812bd8ad484dce9b60c76e1fe1f3db">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="39.13608639136087%" id="mcps1.3.3.3.2.4.1.2"><p id="mrs_01_0867__en-us_topic_0039590405_p85101951028"><strong id="mrs_01_0867__a668b1502648743ae9e63bcceccbdd803">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="27.637236276372363%" id="mcps1.3.3.3.2.4.1.3"><p id="mrs_01_0867__en-us_topic_0039590405_p299166681028">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0867__re21c329dfef8458fb17b5fe3dc12aa4a"><td class="cellrowborder" valign="top" width="33.226677332266775%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_0867__en-us_topic_0039590405_p427266861028">yarn.nodemanager.container-localizer.java.opts</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.13608639136087%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_0867__a484c044b13344cee8c67a4a3ff1e5a45">The additional <strong id="mrs_01_0867__b148401414442444">jvm</strong> parameters are provided for the localized container process.</p>
+</td>
+<td class="cellrowborder" valign="top" width="27.637236276372363%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_0867__en-us_topic_0039590405_p160660311028">-Xmx256m -Djava.security.krb5.conf=${KRB5_CONFIG}</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_0867__ac46b6760d7ce41c1b79f4f560b928439">The default value is <strong id="mrs_01_0867__b5213100015">-Xmx256m -Djava.security.krb5.conf=${KRB5_CONFIG}</strong> and the default log level is info. To change the localized log level of the container, add the following content:</p>
+<pre class="screen" id="mrs_01_0867__sd227fb4c4db94fbfa09dd7188c1a4945">-Dhadoop.root.logger=&lt;LOG_LEVEL&gt;,localizationCLA</pre>
+<p id="mrs_01_0867__a7af6e86fb4974ea7b42e78f947c06791"><strong id="mrs_01_0867__a23db957fe2344769b53250bfb9c87878">Example:</strong></p>
+<p id="mrs_01_0867__a7bf4b708574c4b1e9cdc3a0a622402a0">To change the local log level to <strong id="mrs_01_0867__b28976628742444">DEBUG</strong>, set the parameter as follows:</p>
+<pre class="screen" id="mrs_01_0867__saa6423264eff48ef8c54a9bbd736199e">-Xmx256m -Dhadoop.root.logger=DEBUG,localizationCLA</pre>
+<div class="note" id="mrs_01_0867__ne8f28c94a2004cf8944387b78965975c"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0867__a46d4ac22e24b43838ac8018b513d0496">Allowed log levels are as follows: FATAL, ERROR, WARN, INFO, DEBUG, TRACE, and ALL.</p>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0851.html">Using Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0868.html b/docs/mrs/component-operation-guide/mrs_01_0868.html
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+<a name="mrs_01_0868"></a><a name="mrs_01_0868"></a>
+
+<h1 class="topictitle1">Configuring Users That Run Tasks</h1>
+<div id="body1590130748004"><p id="mrs_01_0868__p66802238367">This section applies to clusters of MRS 3.<em id="mrs_01_0868__i2249192018010">x</em> or later.</p>
+<div class="section" id="mrs_01_0868__s5a8e3f67e0974050adfa47df82da1e58"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0868__a78578421b25f4a5b905f2f83bbf55fb1">Currently, YARN allows the user that starts the NodeManager to run the task submitted by all other users, or the users to run the task submitted by themselves.</p>
+</div>
+<div class="section" id="mrs_01_0868__s32482ebdf4524887aba2a8844459db7f"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_0868__ad6527ab404ec4fd1bb3aa0ad4ce3e93d">On Manager, choose <strong id="mrs_01_0868__b15833152318020">Cluster</strong> &gt; <em id="mrs_01_0868__i284052311015">Name of the desired cluster</em> &gt; <strong id="mrs_01_0868__b1840623902">Services</strong> &gt; <strong id="mrs_01_0868__b158401623005">Yarn</strong> &gt; <strong id="mrs_01_0868__b118419232012">Configurations</strong>. Click <span class="parmvalue" id="mrs_01_0868__parmvalue1336781817512"><b>All Configurations</b></span> Enter a parameter name in the search box.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0868__t00291fac22f7487ab44121d200605ce8" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0868__r8d61aff91ad948f0be99cd4777c38e6f"><th align="left" class="cellrowborder" valign="top" width="33.226677332266775%" id="mcps1.3.3.3.2.4.1.1"><p id="mrs_01_0868__a98da5f9a797b4cfdbfcf8088e525e527"><strong id="mrs_01_0868__aeecc4554b9c2461cb0dab95bee020a76">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="29.63703629637036%" id="mcps1.3.3.3.2.4.1.2"><p id="mrs_01_0868__a666a71542a6d49799bfc25085cc1656d"><strong id="mrs_01_0868__ad9b41d78ce7840589462dd168eb06450">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="37.136286371362864%" id="mcps1.3.3.3.2.4.1.3"><p id="mrs_01_0868__ad0b108196aea471fa9726dbb8ef2ded2"><strong id="mrs_01_0868__a340b9944627a4f4993b695a5a5e56e50">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0868__reaf1aa07ecbf42dfad00d8e6e762d521"><td class="cellrowborder" valign="top" width="33.226677332266775%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_0868__a06d74666e5734191b6b0a5bc37d9f3e3">yarn.nodemanager.linux-container-executor.user</p>
+</td>
+<td class="cellrowborder" valign="top" width="29.63703629637036%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_0868__aa223c1e429824bb4a708000a72a29bc0">Indicates the user who runs a task.</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.136286371362864%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_0868__a6d93f11d719847ca9b9af3a0d1a8c7c8">The value is left blank by default.</p>
+<div class="note" id="mrs_01_0868__nc0af2bb26fde4b03810cd0e00bec9d76"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0868__a1893ec1aacd34b22aed3a7eca370dc2d">The value is left blank by default. The user who submits a task is the actual person who runs the task.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_0868__r44403ea523704650965163364474d40c"><td class="cellrowborder" valign="top" width="33.226677332266775%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_0868__a16a88dbeecb2477392936ad8517cd46f"><span id="mrs_01_0868__p091a619b265a4bf1bea141bfebb3a913">yarn.nodemanager.container-executor.class</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="29.63703629637036%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_0868__a206b1482496a4b22afae2871e3c8f7a8">Indicates the executor who starts a task.</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.136286371362864%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_0868__afc50c8042607473a84b9e8d16d4e5980"><span id="mrs_01_0868__pd69d104b94844c159dfdcdd487a5283a">org.apache.hadoop.yarn.server.nodemanager.EnhancedLinuxContainerExecutor</span></p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_0868__note13569351102314"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0868__ul68241940103013"><li id="mrs_01_0868__li282464020301">Set <span class="parmname" id="mrs_01_0868__parmname5276414102412"><b>yarn.nodemanager.linux-container-executor.user</b></span> to configure the user who runs the container. This parameter is left blank by default. The user who submits the task is the person who runs the container. This parameter is valid only when <span class="parmname" id="mrs_01_0868__parmname72761814102415"><b>yarn.nodemanager.container-executor.class</b></span> is set to <span class="parmvalue" id="mrs_01_0868__parmvalue8276131422413"><b>org.apache.hadoop.yarn.server.nodemanager.EnhancedLinuxContainerExecutor</b></span>.</li><li id="mrs_01_0868__li1382416406303">In non-security mode, if <span class="parmname" id="mrs_01_0868__parmname4313141116263"><b>yarn.nodemanager.linux-container-executor.user</b></span> is set to <strong id="mrs_01_0868__b168218630942232">omm</strong>, <span class="parmname" id="mrs_01_0868__parmname203311510142516"><b>yarn.nodemanager.linux-container-executor.nonsecure-mode.local-user</b></span> must also be set to <strong id="mrs_01_0868__b22303000642232">omm</strong>.</li><li id="mrs_01_0868__li158241140113017">For security reasons, it is advised to retain the default values of <span class="parmname" id="mrs_01_0868__p132efb91cd2b452694e32a2b57703d5d"><b>yarn.nodemanager.linux-container-executor.user</b></span> and <span class="parmname" id="mrs_01_0868__p781d11434f724ff1804d6aac40deeb60"><b>yarn.nodemanager.container-executor.class</b></span>.</li></ul>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0851.html">Using Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0870.html b/docs/mrs/component-operation-guide/mrs_01_0870.html
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+<a name="mrs_01_0870"></a><a name="mrs_01_0870"></a>
+
+<h1 class="topictitle1">Yarn Log Overview</h1>
+<div id="body1590130748015"><div class="section" id="mrs_01_0870__sf3c86d271502421c8a42720bc44fede7"><h4 class="sectiontitle">Log Description</h4><p id="mrs_01_0870__en-us_topic_0046736751_p40109162">The default paths for saving Yarn logs are as follows:</p>
+<ul id="mrs_01_0870__en-us_topic_0046736751_ul25438145"><li id="mrs_01_0870__en-us_topic_0046736751_li27616715">ResourceManager: <strong id="mrs_01_0870__b123777203343">/var/log/Bigdata/yarn/rm</strong> (run logs) and <strong id="mrs_01_0870__b2513524103410">/var/log/Bigdata/audit/yarn/rm</strong> (audit logs)</li><li id="mrs_01_0870__en-us_topic_0046736751_li47223851">NodeManager: <strong id="mrs_01_0870__b3291231153418">/var/log/Bigdata/yarn/nm</strong> (run logs) and <strong id="mrs_01_0870__b38021934153410">/var/log/Bigdata/audit/yarn/nm</strong> (audit logs)</li></ul>
+<p id="mrs_01_0870__en-us_topic_0046736751_p22361481">Log archive rule: The automatic compression and archive function is enabled for Yarn logs. By default, when the size of a log file exceeds 50 MB, the log file is automatically compressed. The naming rule of the compressed log file is as follows: <em id="mrs_01_0870__i19826357183">&lt;Original log file name&gt;-&lt;yyyy-mm-dd_hh-mm-ss&gt;.[ID]</em><strong id="mrs_01_0870__b178366614216">.log.zip</strong>. A maximum of 100 latest compressed files are retained. The number of compressed files can be configured on Manager.</p>
+<p id="mrs_01_0870__en-us_topic_0046736751_p66449547"><strong id="mrs_01_0870__en-us_topic_0046736751_b61175018">Log archive rule</strong>:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0870__table8170151882515" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Yarn log list</caption><thead align="left"><tr id="mrs_01_0870__row517171810255"><th align="left" class="cellrowborder" valign="top" width="22.53225322532253%" id="mcps1.3.1.6.2.4.1.1"><p id="mrs_01_0870__p117117187253">Log Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="44.13441344134414%" id="mcps1.3.1.6.2.4.1.2"><p id="mrs_01_0870__p16171318142512">Log File Name</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.1.6.2.4.1.3"><p id="mrs_01_0870__p1817191810252">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0870__row0171141818256"><td class="cellrowborder" rowspan="21" valign="top" width="22.53225322532253%" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0870__p11711118172510">Run log</p>
+</td>
+<td class="cellrowborder" valign="top" width="44.13441344134414%" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0870__p4171131816250">hadoop-&lt;SSH_USER&gt;-&lt;process_name&gt;-&lt;hostname&gt;.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.1.6.2.4.1.3 "><p id="mrs_01_0870__p151713184256">Yarn component log file that records most of the logs generated when the Yarn component is running</p>
+</td>
+</tr>
+<tr id="mrs_01_0870__row61711188252"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0870__p101711518112519">hadoop-&lt;SSH_USER&gt;-&lt;process_name&gt;-&lt;hostname&gt;.out</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0870__p1217191811254">Log file that records Yarn running environment information</p>
+</td>
+</tr>
+<tr id="mrs_01_0870__row121712018132520"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0870__p19171101812510">&lt;process_name&gt;-&lt;SSH_USER&gt;-&lt;DATE&gt;-&lt;PID&gt;-gc.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0870__p18171101842511">Garbage collection log file</p>
+</td>
+</tr>
+<tr id="mrs_01_0870__row81711518132515"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0870__p5171161810257">yarn-haCheck.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0870__p1517214183256">ResourceManager active/standby status detection log file</p>
+</td>
+</tr>
+<tr id="mrs_01_0870__row12172101812519"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0870__p1917271816256">yarn-service-check.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0870__p5172111818251">Log file that records the health check details of the Yarn service</p>
+</td>
+</tr>
+<tr id="mrs_01_0870__row20172171813252"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0870__p19172201816252">yarn-start-stop.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0870__p181722018192519">Log file that records the startup and stop of the Yarn service</p>
+</td>
+</tr>
+<tr id="mrs_01_0870__row1417231819255"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0870__p20172131819252">yarn-prestart.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0870__p31721318112518">Log file that records cluster operations before the Yarn service startup</p>
+</td>
+</tr>
+<tr id="mrs_01_0870__row9172161872511"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0870__p121729182258">yarn-postinstall.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0870__p6172518112512">Work log file after installation and before startup of the Yarn service</p>
+</td>
+</tr>
+<tr id="mrs_01_0870__row4172518142516"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0870__p617220182252">hadoop-commission.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0870__p121721018132515">Yarn service entry log file</p>
+</td>
+</tr>
+<tr id="mrs_01_0870__row117201813256"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0870__p16172111852518">yarn-cleanup.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0870__p2174118102519">Log file that records the cleanup operation during uninstallation of the Yarn service</p>
+</td>
+</tr>
+<tr id="mrs_01_0870__row3174201812517"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0870__p111744181255">yarn-refreshqueue.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0870__p3174101817258">Yarn queue refresh log file</p>
+</td>
+</tr>
+<tr id="mrs_01_0870__row151749189254"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0870__p15174121814256">upgradeDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0870__p13174191817253">Upgrade log file</p>
+</td>
+</tr>
+<tr id="mrs_01_0870__row1017471892515"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0870__p81759189258">stderr/stdin/syslog</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0870__p1717521872520">Container log file of the applications running on the Yarn service</p>
+</td>
+</tr>
+<tr id="mrs_01_0870__row14175318112518"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0870__p71755186257">yarn-application-check.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0870__p1317581872512">Check log file of applications running on the Yarn service</p>
+</td>
+</tr>
+<tr id="mrs_01_0870__row151751318132510"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0870__p181755189258">yarn-appsummary.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0870__p8175191832512">Running result log file of applications running on the Yarn service</p>
+</td>
+</tr>
+<tr id="mrs_01_0870__row117519187259"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0870__p61751118102519">yarn-switch-resourcemanager.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0870__p1517510183259">Run log file that records the Yarn active/standby switchover</p>
+</td>
+</tr>
+<tr id="mrs_01_0870__row4175818112518"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0870__p61752018192512">ranger-yarn-plugin-enable.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0870__p817516183250">Log file that records the enabling of Ranger authentication for Yarn</p>
+</td>
+</tr>
+<tr id="mrs_01_0870__row18175718202514"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0870__p3175101818251">yarn-nodemanager-period-check.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0870__p17176818142515">Periodic check log of Yarn NodeManager</p>
+</td>
+</tr>
+<tr id="mrs_01_0870__row2017641812514"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0870__p31761418142512">yarn-resourcemanager-period-check.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0870__p16176181819258">Periodic check log of Yarn ResourceManager</p>
+</td>
+</tr>
+<tr id="mrs_01_0870__row14176161818252"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0870__p01761118152518">hadoop.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0870__p17176181819255">Hadoop client logs</p>
+</td>
+</tr>
+<tr id="mrs_01_0870__row8176191852515"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0870__p7176718152516">env.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0870__p0176151822519">Environment information log file before the instance is started or stopped.</p>
+</td>
+</tr>
+<tr id="mrs_01_0870__row17176618132520"><td class="cellrowborder" rowspan="2" valign="top" width="22.53225322532253%" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0870__p017621819253">Audit logs</p>
+</td>
+<td class="cellrowborder" valign="top" width="44.13441344134414%" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0870__p5176131813258">yarn-audit-&lt;process_name&gt;.log</p>
+<p id="mrs_01_0870__p18176131816252">ranger-plugin-audit.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.1.6.2.4.1.3 "><p id="mrs_01_0870__p181761918142520">Yarn operation audit log file</p>
+</td>
+</tr>
+<tr id="mrs_01_0870__row1917619187255"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_0870__p617618186254">SecurityAuth.audit</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_0870__p517601813255">Yarn security audit log file</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_0870__section7279202416598"><h4 class="sectiontitle">Log Level</h4><p id="mrs_01_0870__en-us_topic_0046736751_p20769304"><a href="#mrs_01_0870__t2815fd56171e4fc792972303da85d63c">Table 2</a> describes the log levels supported by Yarn, including OFF, FATAL, ERROR, WARN, INFO, and DEBUG, from high priority to low. Logs whose levels are higher than or equal to the specified level are printed. The number of printed logs decreases as the specified log level increases.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0870__t2815fd56171e4fc792972303da85d63c"></a><a name="t2815fd56171e4fc792972303da85d63c"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0870__t2815fd56171e4fc792972303da85d63c" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Log levels</caption><thead align="left"><tr id="mrs_01_0870__en-us_topic_0046736751_row8098199"><th align="left" class="cellrowborder" valign="top" width="31.31%" id="mcps1.3.2.3.2.3.1.1"><p id="mrs_01_0870__en-us_topic_0046736751_p51974374">Level</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="68.69%" id="mcps1.3.2.3.2.3.1.2"><p id="mrs_01_0870__en-us_topic_0046736751_p39919932">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0870__en-us_topic_0046736751_row43492568"><td class="cellrowborder" valign="top" width="31.31%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_0870__en-us_topic_0046736751_p33237081">FATAL</p>
+</td>
+<td class="cellrowborder" valign="top" width="68.69%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_0870__en-us_topic_0046736751_p7849035">Logs of this level record critical error information about the current event processing.</p>
+</td>
+</tr>
+<tr id="mrs_01_0870__en-us_topic_0046736751_row3532453"><td class="cellrowborder" valign="top" width="31.31%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_0870__en-us_topic_0046736751_p17693315">ERROR</p>
+</td>
+<td class="cellrowborder" valign="top" width="68.69%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_0870__en-us_topic_0046736751_p23872421">Logs of this level record error information about the current event processing.</p>
+</td>
+</tr>
+<tr id="mrs_01_0870__en-us_topic_0046736751_row13525204"><td class="cellrowborder" valign="top" width="31.31%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_0870__en-us_topic_0046736751_p21799703">WARN</p>
+</td>
+<td class="cellrowborder" valign="top" width="68.69%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_0870__en-us_topic_0046736751_p20945556">Logs of this level record exception information about the current event processing.</p>
+</td>
+</tr>
+<tr id="mrs_01_0870__en-us_topic_0046736751_row54292279"><td class="cellrowborder" valign="top" width="31.31%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_0870__en-us_topic_0046736751_p35598459">INFO</p>
+</td>
+<td class="cellrowborder" valign="top" width="68.69%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_0870__en-us_topic_0046736751_p64902924">Logs of this level record normal running status information about the system and events.</p>
+</td>
+</tr>
+<tr id="mrs_01_0870__en-us_topic_0046736751_row47255404"><td class="cellrowborder" valign="top" width="31.31%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_0870__en-us_topic_0046736751_p2482522">DEBUG</p>
+</td>
+<td class="cellrowborder" valign="top" width="68.69%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_0870__en-us_topic_0046736751_p66866633">Logs of this level record the system as well as system debugging information.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_0870__en-us_topic_0046736751_p52818429">To modify log levels, perform the following operations:</p>
+<ol id="mrs_01_0870__en-us_topic_0046736751_ol5603813"><li id="mrs_01_0870__li176831283145"><span>Go to the <strong id="mrs_01_0870__b17516164515918">All Configurations</strong> page of the Yarn service by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</span></li><li id="mrs_01_0870__en-us_topic_0046736751_li58069522"><span>On the menu bar on the left, select the log menu of the target role.</span></li><li id="mrs_01_0870__en-us_topic_0046736751_li52863658"><span>Select a desired log level.</span></li><li id="mrs_01_0870__en-us_topic_0046736751_li6010880"><span>Click <strong id="mrs_01_0870__b15405114112585">Save Configuration</strong>. In the dialog box that is displayed, click <strong id="mrs_01_0870__b8410741195810">OK</strong> to make the setting take effect.</span><p><div class="note" id="mrs_01_0870__note196127155619"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_0870__p2611745616">The configurations take effect immediately without the need to restart the service.</p>
+</div></div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0870__s94f44b40e7c045afa391657cae3fc22a"><h4 class="sectiontitle">Log Format</h4><p id="mrs_01_0870__en-us_topic_0046736751_p44484625">The following table lists the Yarn log formats.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0870__en-us_topic_0046736751_table64817308" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Log formats</caption><thead align="left"><tr id="mrs_01_0870__en-us_topic_0046736751_row51362281"><th align="left" class="cellrowborder" valign="top" width="24.490000000000002%" id="mcps1.3.3.3.2.4.1.1"><p id="mrs_01_0870__en-us_topic_0046736751_p66704062">Log Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="38.78%" id="mcps1.3.3.3.2.4.1.2"><p id="mrs_01_0870__en-us_topic_0046736751_p40443822">Format</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="36.730000000000004%" id="mcps1.3.3.3.2.4.1.3"><p id="mrs_01_0870__en-us_topic_0046736751_p22755592">Example</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0870__en-us_topic_0046736751_row12937662"><td class="cellrowborder" valign="top" width="24.490000000000002%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_0870__en-us_topic_0046736751_p41317711">Run log</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.78%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_0870__en-us_topic_0046736751_p58400296">&lt;yyyy-MM-dd HH:mm:ss,SSS&gt;|&lt;Log Level&gt;|&lt;<em id="mrs_01_0870__i64405010119">Thread that generates the log</em>&gt;|&lt;<em id="mrs_01_0870__i144814013114">Message in the log</em>&gt;|&lt;<em id="mrs_01_0870__i344917013117">Location of the log event</em>&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="36.730000000000004%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_0870__en-us_topic_0046736751_p32803570">2014-09-26 14:18:59,109 | INFO | main | Client environment:java.compiler=&lt;NA&gt; |  org.apache.zookeeper.Environment.logEnv(Environment.java:100)</p>
+</td>
+</tr>
+<tr id="mrs_01_0870__en-us_topic_0046736751_row26796681"><td class="cellrowborder" valign="top" width="24.490000000000002%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_0870__en-us_topic_0046736751_p23047551">Audit log</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.78%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_0870__en-us_topic_0046736751_p54912313">&lt;yyyy-MM-dd HH:mm:ss,SSS&gt;|&lt;Log Level&gt;|&lt;<em id="mrs_01_0870__i17265629327">Thread that generates the log</em>&gt;|&lt;<em id="mrs_01_0870__i22714291124">Message in the log</em>&gt;|&lt;<em id="mrs_01_0870__i152717291621">Location of the log event</em>&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="36.730000000000004%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_0870__en-us_topic_0046736751_p18712351">2014-09-26 14:24:43,605 | INFO | main-EventThread |  USER=omm OPERATION=refreshAdminAcls TARGET=AdminService RESULT=SUCCESS |  org.apache.hadoop.yarn.server.resourcemanager.RMAuditLogger$LogLevel$6.printLog(RMAuditLogger.java:91)</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0851.html">Using Yarn</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_0871"></a><a name="mrs_01_0871"></a>
+
+<h1 class="topictitle1">Yarn Performance Tuning</h1>
+<div id="body1590130748016"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_0872.html">Preempting a Task</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0873.html">Setting the Task Priority</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0874.html">Optimizing Node Configuration</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0851.html">Using Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0872.html b/docs/mrs/component-operation-guide/mrs_01_0872.html
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+<a name="mrs_01_0872"></a><a name="mrs_01_0872"></a>
+
+<h1 class="topictitle1">Preempting a Task</h1>
+<div id="body1590130748022"><div class="section" id="mrs_01_0872__s6a98c6e0860e4a4f8578aa5cd80fdb53"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0872__a18c48eb1a67a46c59be4ac6b0a89ecf6">The capacity scheduler of ResourceManager implements job preemption to simplify job running in queues and improve resource utilization. The process is as follows:</p>
+<ol id="mrs_01_0872__oaf54a4cb91f94a69a1f552ae7891cced"><li id="mrs_01_0872__l71631502dd544bf38c33a50472f03d1f">Assume that there are two queues (Queue A and Queue B). The capacity of Queue A is 25%, and the capacity of Queue B is 75%.</li><li id="mrs_01_0872__lc3229a9025444449a5e9558aaa3a14c9">In the initial state, Task 1 is distributed to Queue A for processing, requiring 75% cluster resources. Task 2 is distributed to Queue B for processing, requiring 50% cluster resources.</li><li id="mrs_01_0872__l387c86a4b8ff43a1929b79fea6c0c826">Task 1 uses 25% cluster resources provided by Queue A and 50% resources from Queue B. Queue B reserves 25% cluster resources.</li><li id="mrs_01_0872__l72dd1fe44d8640b9b34dd24539e7da44">If task preemption is enabled, the resources of Task 1 will be preempted. Queue B preempts 25% cluster resources from Queue A for Task 2.</li><li id="mrs_01_0872__l3a6ab871046045669cb6430e0b8b7fc0">Task 1 will be executed when Task 2 is complete and the cluster has sufficient resources.</li></ol>
+</div>
+<div class="section" id="mrs_01_0872__s7b8212acfdec471593ef1109d51a35ab"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_0872__ae4d320c1554544c48876febf2d94dc18">Navigation path for setting parameters:</p>
+<p id="mrs_01_0872__p165569341183">Go to the <strong id="mrs_01_0872__b710122283820">All Configurations</strong> page of Yarn and enter a parameter name in the search box by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0872__tc91b23bb26c248cba7fde1cd48dc09af" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0872__r2b0987648bab40559127c07bde30a0d6"><th align="left" class="cellrowborder" valign="top" width="31.830000000000002%" id="mcps1.3.2.4.2.4.1.1"><p id="mrs_01_0872__a169915bd732d4d6a9b9beb68e0ca27dd">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50.81%" id="mcps1.3.2.4.2.4.1.2"><p id="mrs_01_0872__acff9a87a645748b5abc52606ac07dbb7">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="17.36%" id="mcps1.3.2.4.2.4.1.3"><p id="mrs_01_0872__a077736c116944ed4bb0c92f694cc8480">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0872__rc6ce9a4ab35c4850a9fa24d6ed008416"><td class="cellrowborder" valign="top" width="31.830000000000002%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_0872__a6f6d19de7cd3492b9fb2943048371fc5">yarn.resourcemanager.scheduler.monitor.enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.81%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_0872__a28df24d9dff54b6296003c641b38e7b7">Whether to start scheduler monitoring according to <strong id="mrs_01_0872__b13680161564418">yarn.resourcemanager.scheduler.monitor.policies</strong>. If this parameter is set to <strong id="mrs_01_0872__b17228123116449">true</strong>, scheduler monitoring is enabled based on policies specified by <strong id="mrs_01_0872__b1694915445441">yarn.resourcemanager.scheduler.monitor.policies</strong> and task resource preemption is enabled based on the scheduler information. If this parameter is set to <strong id="mrs_01_0872__b14619818454">false</strong>, scheduler monitoring is disabled.</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.36%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_0872__a583a1f3e57764bb6bc93e69236351ad8">false</p>
+</td>
+</tr>
+<tr id="mrs_01_0872__ra743b8b52a7044bfbd6d606409ef1f24"><td class="cellrowborder" valign="top" width="31.830000000000002%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_0872__af04112c6c87a4fa2becc876ac6612447">yarn.resourcemanager.scheduler.monitor.policies</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.81%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_0872__a1ee9f9b4def649f68f50b14101e69533">List of the SchedulingEditPolicy class to be used with the scheduler</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.36%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_0872__ac7f43adbfc0b4bbeb4c099e77b6cac39">org.apache.hadoop.yarn.server.resourcemanager.monitor.capacity.ProportionalCapacityPreemptionPolicy</p>
+</td>
+</tr>
+<tr id="mrs_01_0872__r06f98657d7e14d108f57db2a52814a45"><td class="cellrowborder" valign="top" width="31.830000000000002%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_0872__a05b64da0f52d49938fab973efa446219">yarn.resourcemanager.monitor.capacity.preemption.observe_only</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.81%" headers="mcps1.3.2.4.2.4.1.2 "><ul id="mrs_01_0872__u1d98c9a315de46dfb217130b4babe697"><li id="mrs_01_0872__lebef8eab0fd144148797b2e20963a6ef">If this parameter is set to <strong id="mrs_01_0872__b05521546124520">true</strong>, policies will be applied but task resource preemption will not be performed.</li><li id="mrs_01_0872__l8a4bd029c2f346738a6647ad2ff664f6">If this parameter is set to <strong id="mrs_01_0872__b9334135194617">false</strong>, policies will be applied and task resource preemption will be performed based on the policies.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="17.36%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_0872__afbc5af01c187408dadc14c639cd26f85">false</p>
+</td>
+</tr>
+<tr id="mrs_01_0872__rd5a74bc2b06240dabeceaaab2a3d108d"><td class="cellrowborder" valign="top" width="31.830000000000002%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_0872__af0f85898721943e3b4cee693e825c21d">yarn.resourcemanager.monitor.capacity.preemption.monitoring_interval</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.81%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_0872__a66b9ef69e47541fbb994b75a1a6fce77">Monitoring interval, in millisecond. If this parameter is set to a larger value, capacity detection will not be performed frequently.</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.36%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_0872__a0bcd752acf2841848047b620eed5def2">3000</p>
+</td>
+</tr>
+<tr id="mrs_01_0872__r3e397035497545b0b4ca040d1ca1b3e8"><td class="cellrowborder" valign="top" width="31.830000000000002%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_0872__a0698ba9790a547ec8a79f1bac53e89d1">yarn.resourcemanager.monitor.capacity.preemption.max_wait_before_kill</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.81%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_0872__a3bd8d3ebfedd4bb297d57a75dd293374">Interval between the time when a resource preemption request is sent and the time when the container is stopped (resources are released), in millisecond. The value must be greater than or equal to <strong id="mrs_01_0872__b15901541204711">0</strong>.</p>
+<p id="mrs_01_0872__afaf171599a444767a7cbd762e45c4a73">By default, if ApplicationMaster does not stop the container within 15 seconds, ResourceManager will forcibly stop the container after 15 seconds.</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.36%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_0872__a173e3173dce94aedbf04a36a4b77129c">15000</p>
+</td>
+</tr>
+<tr id="mrs_01_0872__r7dcc3723a14e4ba68a150aa28f96f39a"><td class="cellrowborder" valign="top" width="31.830000000000002%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_0872__ab8b3aa4e2efe403d9acc7c741c8e705d">yarn.resourcemanager.monitor.capacity.preemption.total_preemption_per_round</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.81%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_0872__a56f274b38c0c4b4b9cc53e722f3a0580">Maximum resource preemption ratio in a period. This value can be used to limit the speed at which containers are reclaimed from the cluster. After the expected total preemption value is calculated, the policy scales the preemption ratio back to this limit.</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.36%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_0872__a1f34b0eaedb3466fac235d1c3c80b24b">0.1</p>
+</td>
+</tr>
+<tr id="mrs_01_0872__r2f0f11c68dbd43b387d07dd61a6d022d"><td class="cellrowborder" valign="top" width="31.830000000000002%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_0872__ad354e8e3d23b4b06a02c5d639b5bb9b7">yarn.resourcemanager.monitor.capacity.preemption.max_ignored_over_capacity</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.81%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_0872__ac27a564fa7b34e7e9236097c1a78848e">Resource preemption dead zone = Total number of resources in the cluster x Value of this configuration item + Original resources of a queue (for example, Queue A). When resources actually used by a task in Queue A exceeds the preemption dead zone, the resource beyond the preemption dead zone is preempted. The value range is 0 to 1.</p>
+<div class="note" id="mrs_01_0872__ne0f35348d7ed4f00be299469e5e52fac"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0872__a8dbe5419fc974a2eb459ffa8f30bde14">A smaller value is recommended for effective preemption.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="17.36%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_0872__abe462e20df5f4940976b86f7a06b6396">0</p>
+</td>
+</tr>
+<tr id="mrs_01_0872__r30ceb78c7d2746a785cd900fef3723d4"><td class="cellrowborder" valign="top" width="31.830000000000002%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_0872__ad711be5576fb4fb2a0562ce232039c20">yarn.resourcemanager.monitor.capacity.preemption.natural_termination_factor</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.81%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_0872__a7896ffa3a7cb45d486961c5c5ce9a2b9">Preemption percentage. Containers preempt only this percentage of the resources.</p>
+<p id="mrs_01_0872__af5313843aca04f02bf51bb29d1605fc5">For example, a termination factor of 0.5 will reclaim almost 95% of resources within 5 times of <strong id="mrs_01_0872__b77713558541">yarn.resourcemanager.monitor.capacity.preemption.max_wait_before_kill</strong>, even in the absence of natural termination. That is, 5 consecutive preemptions will be performed and each time half of the target resources will be preempted. The trend is geometric convergence. The interval of each preemption is <span class="parmname" id="mrs_01_0872__pea57da3078d7431c9e5c6558b110a1b6"><b>yarn.resourcemanager.monitor.capacity.preemption.max_wait_before_kill</b></span>. The value range is 0 to 1.</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.36%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_0872__a8c1d9be992494ba6bdc726875c1a7118">1</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0871.html">Yarn Performance Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0873.html b/docs/mrs/component-operation-guide/mrs_01_0873.html
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+<a name="mrs_01_0873"></a><a name="mrs_01_0873"></a>
+
+<h1 class="topictitle1">Setting the Task Priority</h1>
+<div id="body1590130748024"><div class="section" id="mrs_01_0873__s830e96ae382f4a5b9084c15688c7034f"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0873__a3e568f794823438385e8a976f8d86a50">The resource contention scenarios of a cluster are as follows:</p>
+<ol id="mrs_01_0873__oa3f6b6ce788d4d5b8ba0e7c2dea31655"><li id="mrs_01_0873__l8e26cf9fa23e4d82bd92b3d95d450818">Submit two jobs (Job 1 and Job 2) with lower priorities.</li><li id="mrs_01_0873__l18167a60b6d14733bada188a79edf2de">Some tasks of running Job 1 and Job 2 are in the running state. However, some tasks are pending due to resource deficiency because the capacity of cluster or queue resources is limited.</li><li id="mrs_01_0873__l83378b1d9a7d4c0fbd4c456797ae113f">Submit a job (Job 3) with a higher priority. In this case, after the running tasks of Job 1 and Job 2 are complete, their resources will be released and then allocated to the pending tasks of Job 3.</li><li id="mrs_01_0873__ld16626506f9644cd9ef0604d1d1c1e76">After Job 3 is complete, its resources will be released and then allocated to Job 1 and Job 2.</li></ol>
+<p id="mrs_01_0873__ad6b4878912394d25ac80177f30c7bfd7">Users can use capacity scheduler of ResourceManager to set the task priority in Yarn because the task priority is implemented by the scheduler of ResourceManager.</p>
+</div>
+<div class="section" id="mrs_01_0873__s5a3a6e13efc64f11a5e75ab75ec0ef5e"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_0873__a5ca2f5a0a6b74368939853aa4c6020b8">Set the <span class="parmname" id="mrs_01_0873__p31ab55893f17469d9f3615469db0e801"><b>mapreduce.job.priority</b></span> parameter and use CLI or API to set the task priority.</p>
+<ul id="mrs_01_0873__ueac9cc967e3d4d44bfa98efb063e95e0"><li id="mrs_01_0873__l7c5667427b2546e0990a1049770bb9a4">Through the CLI<p id="mrs_01_0873__a734e1910b2e8416286da553f3406b30c"><a name="mrs_01_0873__l7c5667427b2546e0990a1049770bb9a4"></a><a name="l7c5667427b2546e0990a1049770bb9a4"></a>When submitting tasks, add the <strong id="mrs_01_0873__b1259171524818">-Dmapreduce.job.priority=</strong><em id="mrs_01_0873__i430141114717">&lt;priority&gt;</em> parameter.</p>
+<p id="mrs_01_0873__add3d758ca813435daaba56053b17581b"><em id="mrs_01_0873__i1240417105">&lt;priority&gt;</em> can be set to any of the following values:</p>
+<ul id="mrs_01_0873__udf1e2db1ba68484dac2429e159c24704"><li id="mrs_01_0873__l755bd04fb1e547c9b5c01879964439f9">VERY_HIGH</li><li id="mrs_01_0873__la7aa109eef13496f944fe8d195246898">HIGH</li><li id="mrs_01_0873__ld13c0e27bd034d20baad7c17911df4f7">NORMAL</li><li id="mrs_01_0873__le1b5a71b89dd46b794214755fd28eeab">LOW</li><li id="mrs_01_0873__l01ab45ebbe8f4b6b9fe99edcb7602719">VERY_LOW</li></ul>
+</li><li id="mrs_01_0873__l0cbeea36cf0145a58428fd51f4c51138">Through the API<p id="mrs_01_0873__a230c46e950c8499db279beb3e470d869"><a name="mrs_01_0873__l0cbeea36cf0145a58428fd51f4c51138"></a><a name="l0cbeea36cf0145a58428fd51f4c51138"></a>You can also set the task priority through the API.</p>
+<p id="mrs_01_0873__ae6ca094e2ef84d69af93f060b1953ffd">Set <strong id="mrs_01_0873__ac7559d04f7cd4c8b9ec4d34e97e8cd01">Configuration.set("mapreduce.job.priority", &lt;priority&gt;)</strong> or <strong id="mrs_01_0873__a69fe821c945d4fca94101efd5ad4c235">Job.setPriority(JobPriority priority)</strong>.</p>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0871.html">Yarn Performance Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0874.html b/docs/mrs/component-operation-guide/mrs_01_0874.html
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+<a name="mrs_01_0874"></a><a name="mrs_01_0874"></a>
+
+<h1 class="topictitle1">Optimizing Node Configuration</h1>
+<div id="body1590130748028"><div class="section" id="mrs_01_0874__sd3ab631c019b419c8afc0f47e801b06b"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0874__a480a04eb58c840f0a19dce1aa5033ca8">After the scheduler of a big data cluster is properly configured, you can adjust the available memory, CPU resources, and local disk of each node to optimize the performance.</p>
+<p id="mrs_01_0874__ab8b3bae947bf49e69575e784a47501af">The configuration items are as follows:</p>
+<ul id="mrs_01_0874__ue91301e2e3f54330968584961818e42c"><li id="mrs_01_0874__l7feacef2cdc6406bbac2cebc3f46d500">Available memory</li><li id="mrs_01_0874__l44004ee4bc574e83b13c3ce747c96dde">Number of vCPUs</li><li id="mrs_01_0874__lcb3232e2894e4556b982fca05055bbe7">Physical CPU usage</li><li id="mrs_01_0874__l1f170b180a234b169217e8b64ceacd05">Coordination of memory and CPU resources</li><li id="mrs_01_0874__l3d867d5b5ee14b49ab2aeea8820a2f4f">Local disk</li></ul>
+</div>
+<div class="section" id="mrs_01_0874__s31c95dee71014a04a784f3401a3fa177"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_0874__abee8348448a04d29aa9afb7a4a995fde">For details about how to adjust parameter settings, see <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+<ul id="mrs_01_0874__uc9c84a41dadc4e4798eb1939eda3f5d8"><li id="mrs_01_0874__l02ee68e85ca0489997a860027fbe7ab4"><strong id="mrs_01_0874__b18849323195912">Available memory</strong><p id="mrs_01_0874__a0aba2201c9b44ae2a54eb3849489599a">Except the memory allocated to the OS and other services, allocate as much as possible memory to Yarn. You can adjust the following parameters to improve resource utilization.</p>
+<p id="mrs_01_0874__acbe2c6f5c3754b97aa85858731b86e6d">Assume that a container uses 512 MB memory by default, then the memory usage formula is: 512 MB x Number of containers.</p>
+<p id="mrs_01_0874__ad09cfcf9d41f4a8694bad68aee02677c">By default, the Map or Reduce container uses one vCPU and 1,024 MB memory, and ApplicationMaster uses 1,536 MB memory.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0874__tca5f73d3324d4fd6bd8affce1943fa6e" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_0874__re4db58b68e01436aaf768c7c1898b402"><th align="left" class="cellrowborder" valign="top" width="32.45675432456754%" id="mcps1.3.2.3.1.5.1.4.1.1"><p id="mrs_01_0874__a3cc8a5f7766848899af76638b3cd6013">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="46.865313468653135%" id="mcps1.3.2.3.1.5.1.4.1.2"><p id="mrs_01_0874__aeb6322d10fe8496887909a3a1fea23cb">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20.677932206779325%" id="mcps1.3.2.3.1.5.1.4.1.3"><p id="mrs_01_0874__a378efedb70c8491d8c16e670a29214eb">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0874__rb56134dec29f4103978f13253402b983"><td class="cellrowborder" valign="top" width="32.45675432456754%" headers="mcps1.3.2.3.1.5.1.4.1.1 "><p id="mrs_01_0874__a204e4c4813114092a6a4aaba92c540af">yarn.nodemanager.resource.memory-mb</p>
+</td>
+<td class="cellrowborder" valign="top" width="46.865313468653135%" headers="mcps1.3.2.3.1.5.1.4.1.2 "><p id="mrs_01_0874__a98f39daae69b4d268397f06787922a8a">Physical memory that can be allocated to containers, in MB. The value must be greater than 0.</p>
+<p id="mrs_01_0874__p9691136111818">You are advised to set the parameter value to 75% to 90% of the total physical memory of nodes. If the node has permanent processes of other services, reduce this parameter value to reserve sufficient resources for the processes.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.677932206779325%" headers="mcps1.3.2.3.1.5.1.4.1.3 "><p id="mrs_01_0874__p191116213458">MRS 3.<em id="mrs_01_0874__i1915863071216">x</em> or later: <strong id="mrs_01_0874__b56831154201211">16384</strong></p>
+<p id="mrs_01_0874__en-us_topic_0116526955_afe412586414646998157da29a16fa61d">Versions earlier than MRS 3.x: <strong id="mrs_01_0874__b1730817185010">8192</strong></p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_0874__l14afbd83608f408bb7cad2e3934f9cf7"><strong id="mrs_01_0874__b1884172217319">Number of vCPUs</strong><p id="mrs_01_0874__af317f22d65214c15a0c1f4ad64401361">You are advised to set this parameter to 1.5 to 2 times the number of logical CPUs. If the upper layer computing applications have low computing capability requirements, you can set the parameter to two times the number of logical CPUs.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0874__t09e6b00f208a487e8b553337bebabbc6" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_0874__r2c02432e38bd475a815e9001c12161d8"><th align="left" class="cellrowborder" valign="top" width="32.45675432456754%" id="mcps1.3.2.3.2.3.1.4.1.1"><p id="mrs_01_0874__a1e09c864173249dca52436640613d39f">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="46.865313468653135%" id="mcps1.3.2.3.2.3.1.4.1.2"><p id="mrs_01_0874__a8c7b3f119dd54f24a15c0d37cfb449e5">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20.677932206779325%" id="mcps1.3.2.3.2.3.1.4.1.3"><p id="mrs_01_0874__a7c7b2eb8062c4b35a3ca4864ab1b16a3">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0874__rd8d0da54e7bb42318d9bb9d29c7981c5"><td class="cellrowborder" valign="top" width="32.45675432456754%" headers="mcps1.3.2.3.2.3.1.4.1.1 "><p id="mrs_01_0874__aab171293fe5447c5b0a1a706bccfaef9">yarn.nodemanager.resource.cpu-vcores</p>
+</td>
+<td class="cellrowborder" valign="top" width="46.865313468653135%" headers="mcps1.3.2.3.2.3.1.4.1.2 "><p id="mrs_01_0874__ac7b17dfc3db147889157f78bef0f0265">Number of vCPUs that can be used by Yarn on the node. The default value is <strong id="mrs_01_0874__b6884748454">8</strong>.</p>
+<p id="mrs_01_0874__a2251314440e94c8fb2032902391c3855">You are advised to set the value to 1.5 to 2 times the number of logical CPUs.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.677932206779325%" headers="mcps1.3.2.3.2.3.1.4.1.3 "><p id="mrs_01_0874__a2267f797fed54a55808af6b8eebc387a">8</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_0874__l95f8552195c04a6f9a58c6549594d61d"><strong id="mrs_01_0874__b11898135610">Physical CPU usage</strong><p id="mrs_01_0874__ac14649555b194dcf8e682c3d60101d43">You are advised to reserve appropriate CPUs for the OS and the processes, such as database and HBase, and allocate the remaining CPUs to Yarn. You can set the following parameters to adjust the physical CPU usage.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0874__t850b6adfc3e44d3fbee2b6927a00794c" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_0874__ra6ada4c7a1d741029e7ddfb6176c4ee4"><th align="left" class="cellrowborder" valign="top" width="32.45675432456754%" id="mcps1.3.2.3.3.3.1.4.1.1"><p id="mrs_01_0874__acb1980c3689e4817a181494e7d97b7a1">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="46.865313468653135%" id="mcps1.3.2.3.3.3.1.4.1.2"><p id="mrs_01_0874__a172c38ab28524450b138ba87cb5b68ef">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20.677932206779325%" id="mcps1.3.2.3.3.3.1.4.1.3"><p id="mrs_01_0874__a93398e6d145244d59b1d024203f4dceb">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0874__r16ce0267ecf74b84a173c8eccb05a241"><td class="cellrowborder" valign="top" width="32.45675432456754%" headers="mcps1.3.2.3.3.3.1.4.1.1 "><p id="mrs_01_0874__ab1312106578d4d419acf39e918105b64">yarn.nodemanager.resource.percentage-physical-cpu-limit</p>
+</td>
+<td class="cellrowborder" valign="top" width="46.865313468653135%" headers="mcps1.3.2.3.3.3.1.4.1.2 "><p id="mrs_01_0874__af2c6a3ad02de4347a8fdc7bfb7e3fb78">Physical CPU percentage that can be used by Yarn on a node. The default value is <strong id="mrs_01_0874__b7915165418819">90</strong>, indicating that no CPU control is implemented and Yarn can use all CPU resources. You can only view the parameter. To change the value of this parameter, set the value of RES_CPUSET_PERCENTAGE of YARN. You are advised to set this parameter to the percentage of CPU resources that can be used by the YARN cluster.</p>
+<p id="mrs_01_0874__ae18f1f2fd7654677a525932f4950fe95">For example, If 20% of CPU resources are used by other services (such as HBase, HDFS, and Hive) and system processes on the node, the CPU resources can be scheduled for Yarn is 1 - 20% = 80%. Therefore, you can set this parameter to <strong id="mrs_01_0874__b1331610255149">80</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.677932206779325%" headers="mcps1.3.2.3.3.3.1.4.1.3 "><p id="mrs_01_0874__a21d1b111b0ad446b9a911e6441d1e83c">90</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_0874__l0aed7059e2c54100b22701573dcb7124"><strong id="mrs_01_0874__b569718314143">Local disk</strong><p id="mrs_01_0874__aa64d6079c16e4a1f9c6ab0a928ca302b">MapReduce writes the intermediate job execution results in local disks. Therefore, configure disks as much as possible and disk space as large as possible. A simple way is to configure the same number of disks as DataNode except for the last directory.</p>
+<div class="note" id="mrs_01_0874__nbc562a63d5ed49a8bad62a7b8dfd3269"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0874__aedf9a3ab57934edb84c37b7fdc911ae7">Use commas (,) to separate multiple disks.</p>
+</div></div>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0874__t43e0e57a5eb7424988c60ca6ae5b1b6c" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_0874__r1b4acf516a3041f6a943233dc5785f0a"><th align="left" class="cellrowborder" valign="top" width="32.45675432456754%" id="mcps1.3.2.3.4.4.1.4.1.1"><p id="mrs_01_0874__a3b97cfeeab0848e1a28c593e299a96fb">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="46.865313468653135%" id="mcps1.3.2.3.4.4.1.4.1.2"><p id="mrs_01_0874__a8c1b89bc64dd4621a7fe77bf63211ada">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20.677932206779325%" id="mcps1.3.2.3.4.4.1.4.1.3"><p id="mrs_01_0874__a958068cf48fc4f35a34720dc8a12705b">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0874__rcc6a8b89d8da4023813c1e75d8deba5d"><td class="cellrowborder" valign="top" width="32.45675432456754%" headers="mcps1.3.2.3.4.4.1.4.1.1 "><p id="mrs_01_0874__a136f2ef890224fe7a6d7305cd7fa3206">yarn.nodemanager.log-dirs</p>
+</td>
+<td class="cellrowborder" valign="top" width="46.865313468653135%" headers="mcps1.3.2.3.4.4.1.4.1.2 "><p id="mrs_01_0874__ac53a8bfda0d44b389a0ca53bdfd49bca">Directories in which logs are stored. Multiple directories can be specified.</p>
+<p id="mrs_01_0874__a1407ef91c9684bbe98df0c68d8e9fac3">Storage location of container logs. The default value is <strong id="mrs_01_0874__b19412126131615">%{@auto.detect.datapart.nm.logs}</strong>. If there is a data partition, a path list similar to <strong id="mrs_01_0874__b84842049101619">/srv/BigData/hadoop/data1/nm/containerlogs,/srv/BigData/hadoop/data2/nm/containerlogs</strong> is generated based on the data partition. If there is no data partition, the default path <strong id="mrs_01_0874__b97252810178">/srv/BigData/yarn/data1/nm/containerlogs</strong> is generated. In addition to using expressions, you can enter a complete list of paths, such as <strong id="mrs_01_0874__b1269913221173">/srv/BigData/yarn/data1/nm/containerlogs</strong> or <strong id="mrs_01_0874__b196373212178">/srv/BigData/yarn/data1/nm/containerlogs,/srv/BigData/yarn/data2/nm/containerlogs</strong>. In this way, data is stored in all the configured directories, which are usually on different devices. To ensure disk I/O load balancing, you are advised to provide several paths and each path corresponds to an independent disk. The localized log directory of the application exists in the relative path <strong id="mrs_01_0874__b9704151617183">/application_%{appid}</strong>. The log directory of an independent container, that is, <strong id="mrs_01_0874__b649804212188">container_{$contid}</strong>, is the subdirectory of this directory. Each container directory contains the <strong id="mrs_01_0874__b16979958201819">stderr</strong>, <strong id="mrs_01_0874__b073018112194">stdin</strong>, and <strong id="mrs_01_0874__b1689319491917">syslog</strong> files generated by the container. To add a directory, for example, <strong id="mrs_01_0874__b14740141419191">/srv/BigData/yarn/data2/nm/containerlogs</strong>, you need to delete the files in <strong id="mrs_01_0874__b8654112115195">/srv/BigData/yarn/data2/nm/containerlogs</strong> first. Then, assign the same read and write permissions to <strong id="mrs_01_0874__b862203715198">/srv/BigData/yarn/data2/nm/containerlogs</strong> as those of <strong id="mrs_01_0874__b1672874116199">/srv/BigData/yarn/data1/nm/containerlogs</strong>, and change <strong id="mrs_01_0874__b1530115011912">/srv/BigData/yarn/data1/nm/containerlogs</strong> to <strong id="mrs_01_0874__b114852559193">/srv/BigData/yarn/data1/nm/containerlogs,/srv/BigData/yarn/data2/nm/containerlogs</strong>. You can add directories, but do not modify or delete existing directories. Otherwise, NodeManager data will be lost and services will be unavailable.</p>
+<p id="mrs_01_0874__a5e48ae21ac134739a476eef1adfaaa27">Default value: <strong id="mrs_01_0874__b89450122217">%{@auto.detect.datapart.nm.logs}</strong></p>
+<p id="mrs_01_0874__a4f9a765ebece48eea33e2e99a03c9538">Exercise caution when modifying this parameter. If the configuration is incorrect, the services are unavailable. If the value of this configuration item at the role level is changed, the value of this configuration item at all instance levels will be changed. If the value of this configuration item at the instance level is changed, the value of this configuration item of other instances remains unchanged.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.677932206779325%" headers="mcps1.3.2.3.4.4.1.4.1.3 "><p id="mrs_01_0874__a4ac9c8ea6b6144f2b3b045a207637e97">%{@auto.detect.datapart.nm.logs}</p>
+</td>
+</tr>
+<tr id="mrs_01_0874__re6bf0e2055ba433fa53dd226fd16bb15"><td class="cellrowborder" valign="top" width="32.45675432456754%" headers="mcps1.3.2.3.4.4.1.4.1.1 "><p id="mrs_01_0874__a3a9dfb96f42c401c839686c06f110aee">yarn.nodemanager.local-dirs</p>
+</td>
+<td class="cellrowborder" valign="top" width="46.865313468653135%" headers="mcps1.3.2.3.4.4.1.4.1.2 "><p id="mrs_01_0874__a6c0d326529414a2c805e0db06c6c6d05">Storage location of files after localization. The default value is <strong id="mrs_01_0874__b14818412231">%{@auto.detect.datapart.nm.localdir}</strong>. If there is a data partition, a path list similar to <strong id="mrs_01_0874__b365050112420">/srv/BigData/hadoop/data1/nm/localdir,/srv/BigData/hadoop/data2/nm/localdir</strong> is generated based on the data partition. If there is no data partition, the default path <strong id="mrs_01_0874__b6809310122417">/srv/BigData/yarn/data1/nm/localdir</strong> is generated. In addition to using expressions, you can enter a complete list of paths, such as <strong id="mrs_01_0874__b6185332132413">/srv/BigData/yarn/data1/nm/localdir</strong> or <strong id="mrs_01_0874__b11432374246">/srv/BigData/yarn/data1/nm/localdir,/srv/BigData/yarn/data2/nm/localdir</strong>. In this way, data is stored in all the configured directories, which are usually on different devices. To ensure disk I/O load balancing, you are advised to provide several paths and each path corresponds to an independent disk. The localized file directory of the application is stored in the relative path <strong id="mrs_01_0874__b633765992411">/usercache/%{user}/appcache/application_%{appid}</strong>. The working directory of an independent container, that is, <strong id="mrs_01_0874__b17971710142519">container_%{contid}</strong>, is the subdirectory of the directory. To add a directory, for example, <strong id="mrs_01_0874__b1213314206251">/srv/BigData/yarn/data2/nm/localdir</strong>, you need to delete the files in <strong id="mrs_01_0874__b15323224132515">/srv/BigData/yarn/data2/nm/localdir</strong> first. Then, assign the same read and write permissions to <strong id="mrs_01_0874__b098134642513">/srv/BigData/hadoop/data2/nm/localdir</strong> as those of <strong id="mrs_01_0874__b13431132815268">/srv/BigData/hadoop/data1/nm/localdir</strong>, and change <strong id="mrs_01_0874__b14841551270">/srv/BigData/yarn/data1/nm/localdir</strong> to <strong id="mrs_01_0874__b15590171010272">/srv/BigData/yarn/data1/nm/localdir,/srv/BigData/yarn/data2/nm/localdir</strong>. You can add directories, but do not modify or delete existing directories. Otherwise, NodeManager data will be lost and services will be unavailable.</p>
+<p id="mrs_01_0874__af0e0b3e190994809bd93d0c09baedf24">Default value: <strong id="mrs_01_0874__b783505352711">%{@auto.detect.datapart.nm.localdir}</strong></p>
+<p id="mrs_01_0874__a5b2f82e4ec0043c5ba61843b954d613c">Exercise caution when modifying this parameter. If the configuration is incorrect, the services are unavailable. If the value of this configuration item at the role level is changed, the value of this configuration item at all instance levels will be changed. If the value of this configuration item at the instance level is changed, the value of this configuration item of other instances remains unchanged.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.677932206779325%" headers="mcps1.3.2.3.4.4.1.4.1.3 "><p id="mrs_01_0874__a45077cb03a3e4b3b8b8c16b80f1aa779">%{@auto.detect.datapart.nm.localdir}</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0871.html">Yarn Performance Tuning</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_0947"></a><a name="mrs_01_0947"></a>
+
+<h1 class="topictitle1">Permission Management</h1>
+<div id="body1590395281525"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_0948.html">Hive Permission</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0949.html">Creating a Hive Role</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0950.html">Configuring Permissions for Hive Tables, Columns, or Databases</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0951.html">Configuring Permissions to Use Other Components for Hive</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_0948"></a><a name="mrs_01_0948"></a>
+
+<h1 class="topictitle1">Hive Permission</h1>
+<div id="body1590395281681"><p id="mrs_01_0948__af2bd908bfb8a4da1a7c62179850b840d">Hive is a data warehouse framework built on Hadoop. It provides basic data analysis services using the Hive query language (HQL), a language like the structured query language (SQL).</p>
+<p id="mrs_01_0948__a15d6da179787429eabdef9614ae9f75f">MRS supports users, user groups, and roles. Permissions must be assigned to roles and then roles are bound to users or user groups. Users can obtain permissions only by binding a role or joining a group that is bound with a role. For details about Hive authorization, visit <a href="https://cwiki.apache.org/confluence/display/Hive/LanguageManual+Authorization" target="_blank" rel="noopener noreferrer">https://cwiki.apache.org/confluence/display/Hive/LanguageManual+Authorization</a>.</p>
+<div class="note" id="mrs_01_0948__n1083e3c0434445e6b5cd57c277846d0e"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0948__ul8211105114013"><li id="mrs_01_0948__li11211105118401">Hive permissions in security mode need to be managed whereas those in normal mode do not.</li><li id="mrs_01_0948__li168631085544">MRS 3.<em id="mrs_01_0948__i24831037819">x</em> or later supports Ranger. If the current component uses Ranger for permission control, you need to configure permission management policies based on Ranger. For details, see <a href="mrs_01_1858.html">Adding a Ranger Access Permission Policy for Hive</a>.</li></ul>
+</div></div>
+<div class="section" id="mrs_01_0948__s9117d64353cd4e85b2d309333dd4c3b4"><h4 class="sectiontitle">Hive Permission Model</h4><p id="mrs_01_0948__a6b87996c73934f3d964c81a7808b3af7">To use the Hive component, users must have permissions on Hive databases and tables (including external tables and views). In MRS, the complete Hive permission model is composed of Hive metadata permission and HDFS file permission. The Hive permission model also includes the permission to use databases or tables.</p>
+<ul id="mrs_01_0948__u20ece97be92e45b39631a7db4b4adc36"><li id="mrs_01_0948__l1f8592bda1094e428b7276df08504289">Hive metadata permission<p id="mrs_01_0948__a007222cb033d42d498bc4e7728e0a665"><a name="mrs_01_0948__l1f8592bda1094e428b7276df08504289"></a><a name="l1f8592bda1094e428b7276df08504289"></a>Similar to traditional relational databases, the Hive database of MRS supports the <strong id="mrs_01_0948__b1296017483410">CREATE</strong> and <strong id="mrs_01_0948__b6120555184119">SELECT</strong> permission, and the Hive tables and columns support the <strong id="mrs_01_0948__b8335153054315">SELECT</strong>, <strong id="mrs_01_0948__b13911628184318">INSERT</strong>, and <strong id="mrs_01_0948__b195861625204317">DELETE</strong> permissions. Hive also supports the permissions of <strong id="mrs_01_0948__b12218019122112">OWNERSHIP</strong> and <strong id="mrs_01_0948__b67549309219">Hive Admin Privilege</strong>.</p>
+<div class="note" id="mrs_01_0948__n6dcff4b2d329482a8b61d3b51a762fc6"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_0948__a897939c9e2ca4afa9a590dd53e3635c0">The <strong id="mrs_01_0948__b182334219189">UPDATE</strong> and <strong id="mrs_01_0948__b93676455187">DELETE</strong> operations on Hive tables and columns can be performed only when <strong id="mrs_01_0948__b817817411918">ACID</strong> is enabled.</p>
+</div></div>
+</li></ul>
+<ul id="mrs_01_0948__ue39d638dc77b4157a6ae161210c95d13"><li id="mrs_01_0948__lb4c2a5eeff02422fb510c80c4c5cd1ff">Hive data file permission, also known as HDFS file permission<p id="mrs_01_0948__a07b63b57387043aeb6baa4b3f356eb64"><a name="mrs_01_0948__lb4c2a5eeff02422fb510c80c4c5cd1ff"></a><a name="lb4c2a5eeff02422fb510c80c4c5cd1ff"></a>Hive database and table files are stored in the HDFS. The created databases or tables are saved in the<strong id="mrs_01_0948__b740919494818"> /user/hive/warehouse</strong> directory of the HDFS by default. The system automatically creates subdirectories named after database names and database table names. To access a database or a table, the corresponding file permissions (read, write, and execute) on the HDFS are required.</p>
+<div class="note" id="mrs_01_0948__note17490111295613"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0948__p349091220560">MRS 3.<em id="mrs_01_0948__i679824143510">X</em> supports multiple Hive instances. In the multi-instance scenario, the directory is<strong id="mrs_01_0948__b1699248102710"> /user/hiven</strong> <em id="mrs_01_0948__i19486407272">n</em> (<em id="mrs_01_0948__i9642154316272">n</em>=1–4)<strong id="mrs_01_0948__b18452155219276">/warehouse</strong>.</p>
+</div></div>
+</li></ul>
+<p id="mrs_01_0948__a7e236387a3f04c618a959194b27f83bd">To perform various operations on Hive databases or tables, you need to associate the metadata permission with the HDFS file permission. For example, to query Hive data tables, you need to associate the metadata permission <strong id="mrs_01_0948__b2114556125114">SELECT</strong> and the HDFS file permissions <strong id="mrs_01_0948__b6138119135210">Read</strong> and <strong id="mrs_01_0948__b112112120522">Write</strong>.</p>
+<p id="mrs_01_0948__ab4eb41e177ef420e9f91ffc1fc4e4eb4">To use the role management function of Manager GUI to manage the permissions of Hive databases and tables, you only need to configure the metadata permission, and the system will automatically associate and configure the HDFS file permission. In this way, operations on the interface are simplified, and the efficiency is improved.</p>
+</div>
+<div class="section" id="mrs_01_0948__s1ef258d542f641aabf70d0f63d33182a"><h4 class="sectiontitle">Hive Users</h4><p id="mrs_01_0948__ad5faf97c98e749a6951265e827a38aeb">MRS provides users and roles to use Hive, such as creating tables, inserting data into tables, and querying tables. Hive defines the <strong id="mrs_01_0948__b142121930195513">USER</strong> class, corresponding to user instances. Hive defines the <strong id="mrs_01_0948__b888225911559">GROUP</strong> class, corresponding to role instances.</p>
+<p id="mrs_01_0948__ac134187fd72d469098a06ca32ef95a69">You can use Manager to set permissions for Hive users. This method only supports permission setting in roles. A user or user group can obtain the permissions only after a role is bound to the user or user group. Hive users can be granted Hive administrator permissions and permissions to access databases, tables, and columns.</p>
+</div>
+<div class="section" id="mrs_01_0948__seda50dc2d2b74d21b9a710d7bef72d04"><h4 class="sectiontitle">Hive Usage Scenarios and Related Permissions</h4><p id="mrs_01_0948__a1c313af0b9b545f1851cdb40ac4f5ae7">Creating a database with Hive requires users to join in the <strong id="mrs_01_0948__b491527417">hive</strong> group, without granting a role. Users have all permissions on the databases or tables created by themselves in Hive or HDFS. They can create tables, select, delete, insert, or update data, and grant permissions to other users to allow them to access the tables and corresponding HDFS directories and files.</p>
+<p id="mrs_01_0948__acc1bf99534294783b6f7354f327270d5">A user can access the tables or database only with permissions. The permission required by users varies according to Hive usage scenarios.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0948__t01b883f38e7d4696bdb512d4f2237835" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Hive usage scenarios</caption><thead align="left"><tr id="mrs_01_0948__reb663ac442c14ab682c4e9495f5f5f62"><th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.6.4.2.3.1.1"><p id="mrs_01_0948__a61b396fe479041a484ce1ab30c22fcf0">Typical Scenario</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.6.4.2.3.1.2"><p id="mrs_01_0948__a51678fdc9dd54d5eb200db415d2c7662">Permission</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0948__r1d137af076bd411eb3695d8451c7aaf2"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.4.2.3.1.1 "><p id="mrs_01_0948__af8322588ab76451ab2e680c39577ec1b">Using Hive tables, columns, or databases</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.4.2.3.1.2 "><p id="mrs_01_0948__a86f2387bab304e419d38ca5e52039faa">Permissions required in different scenarios are as follows:</p>
+<ul id="mrs_01_0948__u0666fceface94eb780833cb09bb05f78"><li id="mrs_01_0948__ldc64cf35ebcd4987a4a78bac0027745d">To create tables, the <strong id="mrs_01_0948__b219023479">CREATE</strong> permission is required.</li><li id="mrs_01_0948__l98a7969996bc4de39604319388f5a0d0">To query data, the <strong id="mrs_01_0948__b1154471571">SELECT</strong> permission is required.</li><li id="mrs_01_0948__la4b31aedd1e849d18e2d8da9827fb2f3">To insert data, the <strong id="mrs_01_0948__b1491615590711">INSERT</strong> permission is required.</li><li id="mrs_01_0948__l5d3249e21b354a529f1c14b5f8e2a5e2">To delete data, the <strong id="mrs_01_0948__b172431223812">DELETE</strong> permission is required.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_0948__r503524473aa14a6cbca5c5dfc639ded3"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.4.2.3.1.1 "><p id="mrs_01_0948__a7cd2daa7b58843e39af399d87480bc44">Associating and using other components</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.4.2.3.1.2 "><p id="mrs_01_0948__aa54989eeb73b43d49f0f0bfd629e4c26">In addition to Hive permissions, permissions of other components are required in some scenarios, for example:</p>
+<ul id="mrs_01_0948__ub0da1ee04dba4b288be0bb57d554813a"><li id="mrs_01_0948__l6ab4138b44214a5badbf9ae02ae4617b">Yarn permissions are required when some HQL statements, such as <strong id="mrs_01_0948__b166111910101114">insert</strong>, <strong id="mrs_01_0948__b1962121416116">count</strong>, <strong id="mrs_01_0948__b86471420131110">distinct</strong>, <strong id="mrs_01_0948__b106041625181118">group by</strong>, <strong id="mrs_01_0948__b510263241119">order by</strong>, <strong id="mrs_01_0948__b11233163711115">sort by</strong>, and <strong id="mrs_01_0948__b6425124819112">join</strong>, are run. You are advised to grant Yarn permissions to the role of each Hive user.</li><li id="mrs_01_0948__le266a1399f3449478dda9f4091a0c973">HBase permission is required when Hive over HBase is used, for example, querying HBase table data in Hive.</li></ul>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_0948__a7395dc56db6c4aef838bf3361e16371f">In some special Hive usage scenarios, you need to configure other types of permission.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0948__t6590f124ee7a4824b5b0b8ee36166845" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Hive authorization precautions</caption><thead align="left"><tr id="mrs_01_0948__r980eb41ca6b4406db32cf8f950f31fbb"><th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.6.6.2.3.1.1"><p id="mrs_01_0948__ae99ae04c8513446bbeb5b80b0324d5b9">Scenario</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.6.6.2.3.1.2"><p id="mrs_01_0948__a911e9fad67994fb7ba61161a0d1d8506">Permission</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0948__r4749d4bc541143f79a01310269384cfe"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.6.2.3.1.1 "><p id="mrs_01_0948__a34c287c5082b4aa8a75211ad6cb1da70">Creating Hive databases, tables, and external tables, or adding partitions to created Hive tables or external tables when data files specified by Hive users are saved to other HDFS directories except <strong id="mrs_01_0948__b176546281418">/user/hive/warehouse</strong></p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.6.2.3.1.2 "><p id="mrs_01_0948__a80d885efab754d93bae4ff75cbb33fb2">The directory must already exist, the Hive user must be the owner of the directory, and the Hive user must have the read, write, and execute permissions on the directory. The user must have the <strong id="mrs_01_0948__b08441452132817">read</strong> and <strong id="mrs_01_0948__b1884911567285">write</strong> permissions of all the upper-layer directories of the directory. After an system administrator grants the Hive permission to the role, the HDFS permission is automatically granted.</p>
+</td>
+</tr>
+<tr id="mrs_01_0948__r3e03fcfb5a8e46fdb0d695995ae3e53c"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.6.2.3.1.1 "><p id="mrs_01_0948__ac034a4ecd2f54211bf719512381b0274">Using <strong id="mrs_01_0948__b4636172571620">load</strong> to load data from all the files or specified files in a specified directory to Hive tables as a Hive user</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.6.2.3.1.2 "><ul id="mrs_01_0948__u799ea23e91ca41f488542966021d4e30"><li id="mrs_01_0948__led8d51ce75df4cff9ced80432aa9261a">The data source is a Linux local disk, the specified directory exists, and the system user <strong id="mrs_01_0948__b53761834810">omm</strong> has read and execute permission of the directory and all its upper-layer directories. The specified file exists, and user <strong id="mrs_01_0948__b1830802701716">omm</strong> has read permission of the file and has the read and execute permission of all the upper-layer directories of the file.</li><li id="mrs_01_0948__l191c5b2c50da4256a039fa03d3c20f6b">The data source is HDFS, the specified directory exists, and the Hive user is the owner of the directory and has read, write, and execute permission on the directory and its subdirectories, and has read and write permission on all its upper-layer directories. The specified file exists, and the Hive user is the owner of the file and has read, write, and execute permission, and has read and execute permission on the file and all its upper-layer directories.</li></ul>
+<div class="note" id="mrs_01_0948__nf495e95fdce342a6be90210365da9b2d"><span class="notetitle"> NOTE: </span><div class="notebody"><p class="textintable" id="mrs_01_0948__a4599f1348dcd418c88a0f276e7625330">When <strong id="mrs_01_0948__b107686118196">load</strong> is used to import data to a Linux local disk, files must be loaded to the HiveServer on which the command is run and the permission must be modified. You are advised to run the command on a client. The HiveSever to which the client is connected can be found. For example, if the Hive client displays <strong id="mrs_01_0948__b1230364211195">0: jdbc:hive2://10.172.0.43:21066/&gt;</strong>, the IP address of the connected HiveServer is 10.172.0.43.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_0948__r2a6bc0d02d0044caa345a0e039da51cc"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.6.2.3.1.1 "><p id="mrs_01_0948__a95be5a6aaa784a64b4ae599c23794fcd">Creating or deleting functions or modifying any database</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.6.2.3.1.2 "><p id="mrs_01_0948__a4270138e29584d0f8cdd5d477d28f379">The <strong id="mrs_01_0948__b1273511586218">Hive Admin Privilege</strong> is required.</p>
+</td>
+</tr>
+<tr id="mrs_01_0948__r85974238956d46a486f59693a6550688"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.6.2.3.1.1 "><p id="mrs_01_0948__a87975f5bd5ec4b549b0e562a195e46fa">Performing operations on all databases and tables in Hive</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.6.2.3.1.2 "><p id="mrs_01_0948__ae1af0ec5f4094c2c91ee02a9578e6afb">The user must be added to the <strong id="mrs_01_0948__b51913314238">supergroup</strong> user group and granted <strong id="mrs_01_0948__b2038119259239">Hive Admin Privilege</strong>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0947.html">Permission Management</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_0949"></a><a name="mrs_01_0949"></a>
+
+<h1 class="topictitle1">Creating a Hive Role</h1>
+<div id="body1590395281683"><div class="section" id="mrs_01_0949__sc82e559d8e0945e4b64bac08d9e1cdda"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0949__a7f9dc4a5c0fd4d1b95591ff87bc0c950">This section describes how to create and configure a Hive role on Manager as the system administrator. The Hive role can be granted the permissions of the Hive administrator and the permissions to operate Hive table data.</p>
+<p id="mrs_01_0949__aebe7296ac1064ae69acd4363f98a3b11">Creating a database with Hive requires users to join in the <strong id="mrs_01_0949__b317529132919">hive</strong> group, without granting a role. Users have all permissions on the databases or tables created by themselves in Hive or HDFS. They can create tables, select, delete, insert, or update data, and grant permissions to other users to allow them to access the tables and corresponding HDFS directories and files. The created databases or tables are saved in the<strong id="mrs_01_0949__b13716516142918"> /user/hive/warehouse</strong> directory of the HDFS by default.</p>
+<div class="note" id="mrs_01_0949__n6757f921e8a64929a0cc23c62f40d757"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0949__ul61731222164414"><li id="mrs_01_0949__li1417322212443">A Hive role can be created only in security mode.</li><li id="mrs_01_0949__li168631085544">If the current component uses Ranger for permission control, you need to configure permission management policies based on Ranger. For details, see <a href="mrs_01_1858.html">Adding a Ranger Access Permission Policy for Hive</a> for MRS 3.<em id="mrs_01_0949__i1419333773216">x</em> or later that supports Ranger.</li></ul>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0949__s518b5e46bd1e44ee8c1a5cb080a77cf2"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_0949__u2a6ff83bf38e483a88929fb6825c1ec4"><li id="mrs_01_0949__l6985f3f805b94c128da50090adefeea4">The system administrator has understood the service requirements.</li><li id="mrs_01_0949__l0f62449740814103963c97ff0fef5e3f">Log in to FusionInsight Manager.</li><li id="mrs_01_0949__l4efabb2c24294791aa965bba8735c044">The Hive client has been installed.</li></ul>
+</div>
+<div class="section" id="mrs_01_0949__s78d336c70e6e4e5cb2bb4d4ddb77aefb"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_0949__p1072019133617">For versions earlier than MRS 3.x, perform the following operations to create a Hive role:</p>
+<ol id="mrs_01_0949__o245b950036aa4ab5a058550c3de75dcf"><li id="mrs_01_0949__li176471458192113"><span>Log in to MRS Manager.</span></li><li id="mrs_01_0949__lb2c1888a42284bc0ac8c6edb3c0fa854"><span>Choose <strong id="mrs_01_0949__b19411151419358">System</strong> &gt; <strong id="mrs_01_0949__b17516196358">Permission</strong> &gt; <strong id="mrs_01_0949__b941953315350">Manage Role</strong>.</span></li><li id="mrs_01_0949__l9325a5ebc8a044a281312f8e4b908318"><span>Click <strong id="mrs_01_0949__b184196409346">Create Role</strong>, and set <strong id="mrs_01_0949__b1425124018345">Role Name</strong> and <strong id="mrs_01_0949__b942594043416">Description</strong>.</span></li><li id="mrs_01_0949__l4bc2a125740043fbbf1b5949d6114c8c"><span>Set permissions. For details, see <a href="#mrs_01_0949__t407ce486d4824c69ba125f7c1be82b9b">Table 1</a>.</span><p><ul id="mrs_01_0949__u0ae143e7271947feadc58989ad61c6cd"><li id="mrs_01_0949__l50f63f66d3554522b1b60a4b7c54ad37"><strong id="mrs_01_0949__b9829203711514">Hive Admin Privilege</strong>: Hive administrator permissions. If you want to use this permission, run the <strong id="mrs_01_0949__b4886124110814">set role admin</strong> command to set the permission before running SQL statements.</li><li id="mrs_01_0949__l106cce80a31c49f398509ded3ccb7fd7"><strong id="mrs_01_0949__b138034717204">Hive Read Write Privileges</strong>: Hive data table management permission, which is the operation permission to set and manage the data of created tables. Select the permissions of a database as required. To specify permissions on tables, click the database name and select the permissions of the tables.</li></ul>
+<div class="note" id="mrs_01_0949__n1e3a7b51789144618a13b140334a3eeb"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0949__u09e13433e3a840e0ace934f9c64e6e55"><li id="mrs_01_0949__l3b18a318b02841f8b2f9890186af1e00">Hive role management supports the <span id="mrs_01_0949__ph16892520163813">Hive </span>administrator permission, and the permissions of accessing tables and views, without granting the database permission.</li><li id="mrs_01_0949__la0949c551f0b4d3ab38021f8382922f9">The permissions of the Hive administrator do not include the permission to manage HDFS.</li><li id="mrs_01_0949__l42d2bd11976f4ef79b56ee7249cd258f">If there are too many tables in the database or too many files in tables, the permission granting may last a while. For example, if a table contains 10,000 files, the permission granting lasts about 2 minutes.</li></ul>
+</div></div>
+
+<div class="tablenoborder"><a name="mrs_01_0949__t407ce486d4824c69ba125f7c1be82b9b"></a><a name="t407ce486d4824c69ba125f7c1be82b9b"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0949__t407ce486d4824c69ba125f7c1be82b9b" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Setting a role</caption><thead align="left"><tr id="mrs_01_0949__r8970570f5e404ff3b4e26f1ec887b626"><th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.3.3.4.2.3.2.3.1.1"><p id="mrs_01_0949__a966f96441ec341ab81e25cd71592239c">Scenario</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.3.3.4.2.3.2.3.1.2"><p id="mrs_01_0949__a32ca2f2b7e424d8480ede0da91c11ded">Role Authorization</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0949__r37ebca35241b4cae98114fef8e98c8dc"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.3.4.2.3.2.3.1.1 "><p id="mrs_01_0949__af314c609654c4df69886c974332dfe3d">Setting the Hive administrator permission</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.3.4.2.3.2.3.1.2 "><p id="mrs_01_0949__a3a16f1b645ea4893b9dbd0a7c16f56d5">In the <strong id="mrs_01_0949__b8680180133911">Permission</strong> table, click <strong id="mrs_01_0949__b1680200163910">Hive</strong> and select <strong id="mrs_01_0949__b233815217387">Hive Admin Privilege</strong>.</p>
+<div class="note" id="mrs_01_0949__n768c024de71e4be5a7ca11d780550475"><span class="notetitle"> NOTE: </span><div class="notebody"><p class="textintable" id="mrs_01_0949__aeaaa930f124b470ca0f6c4f62ddfea8f">After being bound to the Hive administrator role, perform the following operations during each maintenance operation:</p>
+<ol type="a" id="mrs_01_0949__o22025688792147a69a4b441a2e159ca0"><li id="mrs_01_0949__l3ec30b72298549d2b374d9add384655d">Log in to the node where the client is installed. For details, see <a href="https://docs.otc.t-systems.com/usermanual/mrs/mrs_01_0091.html" target="_blank" rel="noopener noreferrer">Installing a Client</a>.</li><li id="mrs_01_0949__l53e519f4f75e40b097f9a24dc70486d0">Run the following command to configure environment variables:<p class="litext" id="mrs_01_0949__a7cb143b430624aed9fcb7f62f733aa51"><a name="mrs_01_0949__l53e519f4f75e40b097f9a24dc70486d0"></a><a name="l53e519f4f75e40b097f9a24dc70486d0"></a>For example, if the Hive client installation directory is <strong id="mrs_01_0949__b9200144514432">/opt/hiveclient</strong>, run <strong id="mrs_01_0949__a2163e7f877a9454db8ee28ea87144eeb">source /opt/hiveclient/bigdata_env</strong>.</p>
+</li><li id="mrs_01_0949__l1a40354ae9674d0da669b4fc35cc918e">Run the following command to authenticate the user:<p class="litext" id="mrs_01_0949__a48755538b3d44de38791df7ed368ab85"><a name="mrs_01_0949__l1a40354ae9674d0da669b4fc35cc918e"></a><a name="l1a40354ae9674d0da669b4fc35cc918e"></a><strong id="mrs_01_0949__b1833534919432">kinit</strong> <em id="mrs_01_0949__i2034074914318">Hive service user</em></p>
+</li><li id="mrs_01_0949__l68bc41f3262f4d78852dae085cb4dd1c">Run the following command to log in to the client tool:<p class="litext" id="mrs_01_0949__a3b73ca536c184361b13af264c16b1c1d"><a name="mrs_01_0949__l68bc41f3262f4d78852dae085cb4dd1c"></a><a name="l68bc41f3262f4d78852dae085cb4dd1c"></a><strong id="mrs_01_0949__aa1e3a7d17715434ea08b2578a5591503">beeline</strong></p>
+</li><li id="mrs_01_0949__le84ff71b118b4a48a9f24cbab9188f94">Run the following command to update the <span id="mrs_01_0949__ph1512102023917">Hive </span>administrator permissions:<p id="mrs_01_0949__ac94d0dcac4814326b675097bfa097f1b"><strong id="mrs_01_0949__a2707464e1e1147df8a1a6525470a5827">set role admin;</strong></p>
+</li></ol>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_0949__r32ef203c8450407ba2e7daaad43e84b3"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.3.4.2.3.2.3.1.1 "><p id="mrs_01_0949__a0bfbdb5549ff41a996b9b9516203ffca">Setting the permission to query a table of another user in the default database</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.3.4.2.3.2.3.1.2 "><ol type="a" id="mrs_01_0949__o03ff4239c1dd418a8aac1901b1a42eaf"><li id="mrs_01_0949__l9ab7163cd15648638cc721f9350ecb4c">In the <strong id="mrs_01_0949__b1084045518438">Permission</strong> table, choose <strong id="mrs_01_0949__b1936511945514">Hive</strong> &gt; <strong id="mrs_01_0949__b15351815165516">Hive Read Write Privileges</strong>.</li><li id="mrs_01_0949__l87588c577a3d440e81b1dfed39f48920">In the <strong id="mrs_01_0949__b1775914348558">Permission</strong> column of the specified table, select <strong id="mrs_01_0949__b25571640115515">SELECT</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_0949__rc691dab3ec894d229b3089f314930b46"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.3.4.2.3.2.3.1.1 "><p id="mrs_01_0949__a63c7fa067a2c482ba8938e1eb2b5329b">Setting the permission to query a table of another user in the default database</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.3.4.2.3.2.3.1.2 "><ol type="a" id="mrs_01_0949__oa035ad8e31e345b68862f21f259a443f"><li id="mrs_01_0949__lc65c2897dc464e8ab520176402b75539">In the <strong id="mrs_01_0949__b141761254444">Permission</strong> table, choose <strong id="mrs_01_0949__b118214020579">Hive</strong> &gt; <strong id="mrs_01_0949__b821817115713">Hive Read Write Privileges</strong>.</li><li id="mrs_01_0949__l4ff1a9d257c64adcbf2326a15993b241">In the <strong id="mrs_01_0949__b562302085712">Permission</strong> column of the specified table, select <strong id="mrs_01_0949__b45456465574">Insert</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_0949__racaeeea562d449f6973523ddc07996a0"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.3.4.2.3.2.3.1.1 "><p id="mrs_01_0949__a8efa8e2e06224b16826141db91790a14">Setting the permission to import data to a table of another user in the default database</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.3.4.2.3.2.3.1.2 "><ol type="a" id="mrs_01_0949__o1781c8d0839d4117be5170cc4f1f0ec5"><li id="mrs_01_0949__l1c80b919a3f04d5d9370d20b919f9231">In the <strong id="mrs_01_0949__b2098697442">Permission</strong> table, choose <strong id="mrs_01_0949__b5690123112583">Hive</strong> &gt; <strong id="mrs_01_0949__b1710233675813">Hive Read Write Privileges</strong>.</li><li id="mrs_01_0949__l7a47e3a33a1549bca1fba4d99cd1cb0d">In the <strong id="mrs_01_0949__b29487913446">Permission</strong> column of the specified table, select <strong id="mrs_01_0949__b10949793444">Delete</strong> and <strong id="mrs_01_0949__b169498964414">Insert</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_0949__redd589ffe6e7438aa2462b39d1caae46"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.3.4.2.3.2.3.1.1 "><p id="mrs_01_0949__a8cfcb2ad226748ba963e1a8cedcc5e63">Setting the permission to submit HQL commands to Yarn for execution</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.3.4.2.3.2.3.1.2 "><p id="mrs_01_0949__a180f570e2d6d46bc93fde77b2614ecff">The HQL commands used by some services are converted into MapReduce tasks and submitted to Yarn for execution. You need to set the Yarn permissions. For example, the HQL statements to be run use statements, such as <strong id="mrs_01_0949__a56ea7c5c86fc42629d4dac8bb489e410">insert</strong>, <strong id="mrs_01_0949__b2558131418111">count</strong>, <strong id="mrs_01_0949__aa27cdbc9f6b549bb98a535bd6652c79f">distinct</strong>, <strong id="mrs_01_0949__af491d3348f1c482ca39eeec197cabeeb">group by</strong>, <strong id="mrs_01_0949__a3120ee50ff664ebc8408cfa7a7846895">order by</strong>, <strong id="mrs_01_0949__ac2459da78c314850a9f4c101efe01edb">sort by</strong>, or <strong id="mrs_01_0949__a444755eb74fd419fa98f8cbafd144a28">join</strong>.</p>
+<ol type="a" id="mrs_01_0949__o3001b283aedf4d219d8470bcae96c133"><li id="mrs_01_0949__l4a5cdb4e3d0c446c9896498ea1a49ce3">In the <strong id="mrs_01_0949__b117518311614">Permission</strong> table, choose <strong id="mrs_01_0949__b1179964116110">Yarn</strong> &gt; <strong id="mrs_01_0949__b1061584410119">Scheduler Queue</strong> &gt; <strong id="mrs_01_0949__b188393461014">root</strong>.</li><li id="mrs_01_0949__l9d54bd41da7e45bfa0545812963fd79c">In the <strong id="mrs_01_0949__b19716521914">Permission</strong> column of the default queue, select <strong id="mrs_01_0949__b10909957216">Submit</strong>.</li></ol>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_0949__l30dc6d42328f42c8a9d8968aadfeaf11"><span>Click <strong id="mrs_01_0949__b713711213214">OK</strong>, and return to the <strong id="mrs_01_0949__b1571761218">Role</strong> page.</span></li><li id="mrs_01_0949__li7234339135010"><span>Choose <strong id="mrs_01_0949__b13691919104412">System</strong> &gt; <strong id="mrs_01_0949__b1469661934411">Manage User</strong> &gt; <strong id="mrs_01_0949__b869621994416">Create User</strong>.</span></li><li id="mrs_01_0949__li3160666456"><span>Enter the username, set <strong id="mrs_01_0949__b8276162819313">User Type</strong> to <strong id="mrs_01_0949__b1531693617312">Human-machine</strong>, set the user password, add a user group bound with the Hive administrator role, bind the new Hive role to the user group, and click <strong id="mrs_01_0949__b185494510417">OK</strong>.</span></li><li id="mrs_01_0949__li25111610194"><span>After the user is created, you can run the SQL statement using the user.</span></li></ol>
+<p id="mrs_01_0949__p136440173378">For MRS 3.<em id="mrs_01_0949__i1341313619358">x</em> or later, perform the following operations to create a Hive role:</p>
+<ol id="mrs_01_0949__ol1115310213814"><li id="mrs_01_0949__li615320233813"><span>Log in to FusionInsight Manager. For details, see<a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a></span></li><li id="mrs_01_0949__li31535217389"><span>Choose <strong id="mrs_01_0949__b12622719153520">System</strong> &gt; <strong id="mrs_01_0949__b10627819163518">Permission</strong> &gt; <strong id="mrs_01_0949__b1662813199351">Role</strong>.</span></li><li id="mrs_01_0949__li1915317219383"><span>Click <strong id="mrs_01_0949__b985434887">Create Role</strong>, and set <strong id="mrs_01_0949__b2028410211">Role Name</strong> and <strong id="mrs_01_0949__b1121617282">Description</strong>.</span></li><li id="mrs_01_0949__li61531426387"><span>Set <strong id="mrs_01_0949__b157767817052722">Configure Resource Permission</strong>. For details, see <a href="#mrs_01_0949__table715417215388">Table 2</a>.</span><p><ul id="mrs_01_0949__ul15154325386"><li id="mrs_01_0949__li112924815165">Grant the read and execution permissions for the HDFS directory.<ul id="mrs_01_0949__ul230494851910"><li id="mrs_01_0949__li14372124612196">Click <em id="mrs_01_0949__i17911431153711">Name of the desired cluster</em> and select <strong id="mrs_01_0949__b1278012610387">HDFS</strong> for <strong id="mrs_01_0949__b355675111395">Service Name</strong>. On the displayed page, click <strong id="mrs_01_0949__b8903175816446">File System</strong>, choose <strong id="mrs_01_0949__b670823111457">hdfs://hacluster/</strong> &gt; <strong id="mrs_01_0949__b124291254713">user</strong>, locate the row where <strong id="mrs_01_0949__b214112169485">hive</strong> is located, and select <strong id="mrs_01_0949__b2714113124817">Read</strong> and <strong id="mrs_01_0949__b7208537144813">Execute</strong> in the <strong id="mrs_01_0949__b9533113314577">Permission</strong> column.</li><li id="mrs_01_0949__li77601346260">Click <em id="mrs_01_0949__i10759157175315">Name of the desired cluster</em> and select <strong id="mrs_01_0949__b77591057165320">HDFS</strong> for <strong id="mrs_01_0949__b375995718531">Service Name</strong>. On the displayed page, click <strong id="mrs_01_0949__b117591157145310">File System</strong>, choose <strong id="mrs_01_0949__b19759155715320">hdfs://hacluster/</strong> &gt; <strong id="mrs_01_0949__b4759557145318">user</strong> &gt; <strong id="mrs_01_0949__b1875955715532">hive</strong>, locate the row where <strong id="mrs_01_0949__b153151657115611">warehouse</strong> is located, and select <strong id="mrs_01_0949__b19759165715534">Read</strong> and <strong id="mrs_01_0949__b17596571533">Execute</strong> in the <strong id="mrs_01_0949__b19820174711572">Permission</strong> column.</li><li id="mrs_01_0949__li1876914557298">Click <em id="mrs_01_0949__i14259232135817">Name of the desired cluster</em> and select <strong id="mrs_01_0949__b1325963225814">HDFS</strong> for <strong id="mrs_01_0949__b5259632185817">Service Name</strong>. On the displayed page, click <strong id="mrs_01_0949__b192591032155813">File System</strong>, choose <strong id="mrs_01_0949__b4259173212586">hdfs://hacluster/</strong> &gt; <strong id="mrs_01_0949__b102591732145819">tmp</strong>, locate the row where <strong id="mrs_01_0949__b1325963216586">hive-scratch</strong> is located, and select <strong id="mrs_01_0949__b4260432125810">Read</strong> and <strong id="mrs_01_0949__b9260132105811">Execute</strong> in the <strong id="mrs_01_0949__b1126043219580">Permission</strong> column.</li></ul>
+</li><li id="mrs_01_0949__li51543216385"><strong id="mrs_01_0949__b83038332452722">Hive Admin Privilege</strong>: Hive administrator permission.</li><li id="mrs_01_0949__li615411243811"><strong id="mrs_01_0949__b109369534352722">Hive Read Write Privileges</strong>: Hive data table management permission, which is the operation permission to set and manage the data of created tables.</li></ul>
+<div class="note" id="mrs_01_0949__note0154324388"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0949__ul515417211389"><li id="mrs_01_0949__li591619511150">In MRS 3.1.0, Hive role management supports the administrator permission, and the permissions of accessing tables and views, without granting the database permission.</li><li id="mrs_01_0949__li1115432143814">The permissions of the Hive administrator do not include the permission to manage HDFS.</li><li id="mrs_01_0949__li20154192153813">If there are too many tables in the database or too many files in tables, the permission granting may last a while. For example, if a table contains 10,000 files, the permission granting lasts about 2 minutes.</li></ul>
+</div></div>
+
+<div class="tablenoborder"><a name="mrs_01_0949__table715417215388"></a><a name="table715417215388"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0949__table715417215388" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Setting a role</caption><thead align="left"><tr id="mrs_01_0949__row1615420213383"><th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.3.5.4.2.3.2.3.1.1"><p id="mrs_01_0949__p61542233820">Task</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.3.5.4.2.3.2.3.1.2"><p id="mrs_01_0949__p17154425383">Role Authorization</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0949__row7155192143817"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.5.4.2.3.2.3.1.1 "><p id="mrs_01_0949__p0155624388">Setting the Hive administrator permission</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.5.4.2.3.2.3.1.2 "><p id="mrs_01_0949__p1215513213387">In the <strong id="mrs_01_0949__b70840216852722">Configure Resource Permission</strong> table, choose <em id="mrs_01_0949__i13324331252722">Name of the desired cluster</em> &gt; <strong id="mrs_01_0949__b18285216052722">Hive</strong> and select <strong id="mrs_01_0949__b128389454952722">Hive Admin Privilege</strong>.</p>
+<div class="note" id="mrs_01_0949__note715522123812"><span class="notetitle"> NOTE: </span><div class="notebody"><p class="textintable" id="mrs_01_0949__p151551524383">After being bound to the Hive administrator role, perform the following operations during each maintenance operation:</p>
+<ol type="a" id="mrs_01_0949__ol2155122133819"><li id="mrs_01_0949__li1515515217382">Log in to the node where the Hive client is installed as the client installation user.</li><li id="mrs_01_0949__li10155152193818">Run the following command to configure environment variables:<p class="litext" id="mrs_01_0949__p19155102153815"><a name="mrs_01_0949__li10155152193818"></a><a name="li10155152193818"></a>For example, if the Hive client installation directory is <strong id="mrs_01_0949__b1826375251">/opt/hiveclient</strong>, run <strong id="mrs_01_0949__b487239377">source /opt/hiveclient/bigdata_env</strong>.</p>
+</li><li id="mrs_01_0949__li01553293818">Run the following command to authenticate the user:<p class="litext" id="mrs_01_0949__p111551263816"><a name="mrs_01_0949__li01553293818"></a><a name="li01553293818"></a><strong id="mrs_01_0949__b2146576785">kinit</strong> <em id="mrs_01_0949__i2086021042">Hive service user</em></p>
+</li><li id="mrs_01_0949__li1915516211389">Run the following command to log in to the client tool:<p class="litext" id="mrs_01_0949__p1715514210388"><a name="mrs_01_0949__li1915516211389"></a><a name="li1915516211389"></a><strong id="mrs_01_0949__b41558293810">beeline</strong></p>
+</li><li id="mrs_01_0949__li1815520223819">Run the following command to update the administrator permissions:<p id="mrs_01_0949__p191552212383"><a name="mrs_01_0949__li1815520223819"></a><a name="li1815520223819"></a><strong id="mrs_01_0949__b215514211386">set role admin;</strong></p>
+</li></ol>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_0949__row6155162153815"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.5.4.2.3.2.3.1.1 "><p id="mrs_01_0949__p111551829389">Setting the permission to query a table of another user in the default database</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.5.4.2.3.2.3.1.2 "><ol type="a" id="mrs_01_0949__ol14155112183819"><li id="mrs_01_0949__li5155132133820">In the <strong id="mrs_01_0949__b173620318852722">Configure Resource Permission</strong> table, choose <em id="mrs_01_0949__i18185717552722">Name of the desired cluster</em> &gt; <strong id="mrs_01_0949__b190280723552722">Hive</strong> &gt; <strong id="mrs_01_0949__b127688542652722">Hive Read Write Privileges</strong>.</li><li id="mrs_01_0949__lfe65edb7f7794c8ba5479289b347e1ed">Click the name of the specified database in the database list. Tables in the database are displayed.</li><li id="mrs_01_0949__li141558213811">In the <strong id="mrs_01_0949__b18411112192610">Rights </strong>column of the specified table, choose <strong id="mrs_01_0949__b44121212265">Select</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_0949__row6155122385"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.5.4.2.3.2.3.1.1 "><p id="mrs_01_0949__p915515213381">Setting the permission to query a table of another user in the default database</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.5.4.2.3.2.3.1.2 "><ol type="a" id="mrs_01_0949__ol1515612263815"><li id="mrs_01_0949__li171566211380">In the <strong id="mrs_01_0949__b7346674052722">Configure Resource Permission</strong> table, choose <em id="mrs_01_0949__i74843636352722">Name of the desired cluster</em> &gt; <strong id="mrs_01_0949__b25275065152722">Hive</strong> &gt; <strong id="mrs_01_0949__b74058998452722">Hive Read Write Privileges</strong>.</li><li id="mrs_01_0949__lf07a86f5c219414e8deab1c53b577187">Click the name of the specified database in the database list. Tables in the database are displayed.</li><li id="mrs_01_0949__li41562210381">In the <strong id="mrs_01_0949__b170052580152722">Permission</strong> column of the specified table, select <strong id="mrs_01_0949__b183845807052722">INSERT</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_0949__row11156426389"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.5.4.2.3.2.3.1.1 "><p id="mrs_01_0949__p81567219384">Setting the permission to import data to a table of another user in the default database</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.5.4.2.3.2.3.1.2 "><ol type="a" id="mrs_01_0949__ol1315616223815"><li id="mrs_01_0949__li615662193812">In the <strong id="mrs_01_0949__b81846595552722">Configure Resource Permission</strong> table, choose <em id="mrs_01_0949__i32723194652722">Name of the desired cluster</em> &gt; <strong id="mrs_01_0949__b201239099052722">Hive</strong> &gt; <strong id="mrs_01_0949__b187132351052722">Hive Read Write Privileges</strong>.</li><li id="mrs_01_0949__l9c7d295190e74628ac95bb1a3fbe1f76">Click the name of the specified database in the database list. Tables in the database are displayed.</li><li id="mrs_01_0949__li815632163819">In the <strong id="mrs_01_0949__b121111079852722">Permission</strong> column of the specified indexes, select <strong id="mrs_01_0949__b162038862752722">DELETE</strong> and <strong id="mrs_01_0949__b201612736752722">INSERT</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_0949__row1415615243814"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.5.4.2.3.2.3.1.1 "><p id="mrs_01_0949__p1515619283819">Setting the permission to submit HQL commands to Yarn for execution</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.5.4.2.3.2.3.1.2 "><p id="mrs_01_0949__p6156822385">The HQL commands used by some services are converted into MapReduce tasks and submitted to Yarn for execution. You need to set the Yarn permissions. For example, the HQL statements to be run use statements, such as <strong id="mrs_01_0949__b1942645179">insert</strong>, <strong id="mrs_01_0949__b299277859">count</strong>, <strong id="mrs_01_0949__b1127308833">distinct</strong>, <strong id="mrs_01_0949__b1857240241">group by</strong>, <strong id="mrs_01_0949__b1930227070">order by</strong>, <strong id="mrs_01_0949__b1450539609">sort by</strong>, or <strong id="mrs_01_0949__b900493162">join</strong>.</p>
+<ol type="a" id="mrs_01_0949__ol715613216381"><li id="mrs_01_0949__li515617211382">In the <strong id="mrs_01_0949__b144340299652722">Permission</strong> table, choose <em id="mrs_01_0949__i137005037652722">Name of the desired cluster</em> &gt; <strong id="mrs_01_0949__b192637680952722">Yarn</strong> &gt; <strong id="mrs_01_0949__b9427554252722">Scheduling Queue</strong> &gt; <strong id="mrs_01_0949__b39656566952722">root</strong>.</li><li id="mrs_01_0949__li1015720263812">In the <strong id="mrs_01_0949__b161011774852722">Permission</strong> column of the <strong id="mrs_01_0949__b23987984852722">default </strong>queue, select <strong id="mrs_01_0949__b166792241252722">Submit</strong>.</li></ol>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_0949__li1615716211384"><span>Click <strong id="mrs_01_0949__b2116615854">OK</strong>, and return to the <strong id="mrs_01_0949__b1640600563">Role</strong> page.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0947.html">Permission Management</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_0950"></a><a name="mrs_01_0950"></a>
+
+<h1 class="topictitle1">Configuring Permissions for Hive Tables, Columns, or Databases</h1>
+<div id="body1590395281688"><div class="section" id="mrs_01_0950__s5842f4574aef4291a5212cbac67a70d2"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0950__ab3ca0198826c440f95eaa0052a211df9">You can configure related permissions if you need to access tables or databases created by other users. Hive supports column-based permission control. If a user needs to access some columns in tables created by other users, the user must be granted the permission for columns. The following describes how to grant table, column, and database permissions to users by using the role management function of MRS Manager.</p>
+<div class="note" id="mrs_01_0950__n5a8b83fa336e45e3b30a56a56e028a61"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0950__ul1591225692812"><li class="text" id="mrs_01_0950__li991275612815">You can configure permissions for Hive tables, columns, or databases only in security mode.</li><li id="mrs_01_0950__li168631085544">MRS 3.x or later supports Ranger. If the current component uses Ranger for permission control, you need to configure permission management policies based on Ranger. For details, see <a href="mrs_01_1858.html">Adding a Ranger Access Permission Policy for Hive</a>.</li></ul>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0950__s0e2bb366036e45efafd1137e7cd017b6"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_0950__ud9a9f28125ce485588d2f8246f9afced"><li id="mrs_01_0950__lace6f07a481342c591c1d7c3547b7a99">You have obtained a user account with the <span id="mrs_01_0950__ph6189183402">system </span>administrator permissions, such as <strong id="mrs_01_0950__b121153211165">admin</strong>.</li><li id="mrs_01_0950__l363e72bc753f4003a547255f6f7d6f9b">You have created a role, for example, <strong id="mrs_01_0950__b93051016201712">hrole</strong>, on Manager by referring to instructions in <a href="mrs_01_0949.html">Creating a Hive Role</a>. You do not need to set the Hive permission but need to set the permission to submit the HQL command to Yarn for execution.</li><li id="mrs_01_0950__l553d7db296824437925a2556ca46a158">You have created two Hive human-machine users, such as <strong id="mrs_01_0950__b20896164312184">huser1</strong> and <strong id="mrs_01_0950__b1941113517181">huser2</strong>, on Manager and added them to the <strong id="mrs_01_0950__b206511010161911">hive</strong> group. <strong id="mrs_01_0950__b171007143195">huser2</strong> has been bound to <strong id="mrs_01_0950__b1818971871915">hrole</strong>. The <strong id="mrs_01_0950__b5391337161920">hdb</strong> database has created by user <strong id="mrs_01_0950__b5769145418197">huser1</strong> and the <strong id="mrs_01_0950__b1045713144204">htable</strong> table has been created in the database.</li></ul>
+</div>
+<div class="section" id="mrs_01_0950__s201eaee70ec4416caeab058ada4051c3"><h4 class="sectiontitle">Procedure</h4><ul id="mrs_01_0950__uf104b9face0d404a815b719ae897a538"><li id="mrs_01_0950__lf9643731cd3247659a5258741d5c0dce">Granting Table Permissions<p id="mrs_01_0950__ad80b257533b04b27a47fd91115bffb3f"><a name="mrs_01_0950__lf9643731cd3247659a5258741d5c0dce"></a><a name="lf9643731cd3247659a5258741d5c0dce"></a>Users have complete permission on the tables created by themselves in Hive and the HDFS. To access the tables created by others, they need to be granted the permission. After the Hive metadata permission is granted, the HDFS permission is automatically granted. The procedure for granting a role the permission of querying, inserting, and deleting <strong id="mrs_01_0950__b3371913219">htable</strong> data is as follows:</p>
+<p id="mrs_01_0950__p1072019133617">For versions earlier than MRS 3.x, perform the following operations to grant table permissions:</p>
+<ol id="mrs_01_0950__o414b02782460475b818fec5400fe7846"><li id="mrs_01_0950__l40b4e610bdc840638e3572c9b03bae09">On MRS Manager, choose <strong id="mrs_01_0950__b772320130114">System</strong> &gt; <strong id="mrs_01_0950__b127241913519">Permission</strong> &gt; <strong id="mrs_01_0950__b2725181316115">Manage Role</strong>.</li><li id="mrs_01_0950__lf6ba59a421214ebca622957fa8513ac3">Locate the row that contains <strong id="mrs_01_0950__b492911213221">hrole</strong>, and click <strong id="mrs_01_0950__b1959731722210">Modify</strong>.</li><li id="mrs_01_0950__lb61e16b37e464936aef5099e627ca0c2">Choose <strong id="mrs_01_0950__b156129268224">Hive</strong> &gt; <strong id="mrs_01_0950__b83862313225">Hive Read Write Privileges</strong>.</li><li id="mrs_01_0950__l0739a9d17d64442295816d0474bfac52">Click the name of the specified database <strong id="mrs_01_0950__b8988757122210">hdb</strong> in the database list. Table <strong id="mrs_01_0950__b674421216235">htable</strong> in the database is displayed.</li><li id="mrs_01_0950__ldff66b1d5a98432a92410d6be47c2bb1">In the <strong id="mrs_01_0950__b125102792315">Permission</strong> column of the <strong id="mrs_01_0950__b14529103092310">htable</strong> table, select <strong id="mrs_01_0950__b11132183615230">Select</strong>, <strong id="mrs_01_0950__b152025391236">Insert</strong>, and <strong id="mrs_01_0950__b1523134302315">Delete</strong>.</li><li id="mrs_01_0950__l69586a6252ba4355b1260a6f9c287eab">Click <strong id="mrs_01_0950__b615664410236">OK</strong>.</li></ol>
+<p id="mrs_01_0950__p136440173378">For MRS 3.<em id="mrs_01_0950__i1765314016384">x</em> or later, perform the following operations to grant table permissions:</p>
+<ol id="mrs_01_0950__ol2070731654219"><li id="mrs_01_0950__li7707141618425">On FusionInsight Manager, choose <strong id="mrs_01_0950__b68730510951957">System </strong>&gt; <strong id="mrs_01_0950__b138935608851957">Permission </strong>&gt; <strong id="mrs_01_0950__b60403422651957">Role</strong>.</li><li id="mrs_01_0950__li14707191612427">Locate the row that contains <strong id="mrs_01_0950__b1301170599">hrole</strong>, and click <strong id="mrs_01_0950__b1703317526">Modify</strong>.</li><li id="mrs_01_0950__li167071416124211">Choose <em id="mrs_01_0950__i204813307751957">Name of the desired cluster</em> &gt; <strong id="mrs_01_0950__b99781695051957">Hive </strong>&gt; <strong id="mrs_01_0950__b28816137851957">Hive Read Write Privileges</strong>.</li><li id="mrs_01_0950__li970861615428">Click the name of the specified database <strong id="mrs_01_0950__b26570011">hdb</strong> in the database list. Table <strong id="mrs_01_0950__b346865164">htable</strong> in the database is displayed.</li><li id="mrs_01_0950__li19708816144215">In the <strong id="mrs_01_0950__b1679815216254">Permission</strong> column of the <strong id="mrs_01_0950__b125535084551957">htable </strong>table, select <strong id="mrs_01_0950__b36968772251957">SELECT</strong>, <strong id="mrs_01_0950__b207286644151957">INSERT</strong>, and <strong id="mrs_01_0950__b34400794151957">DELETE</strong>.</li><li id="mrs_01_0950__li1870819169421">Click <strong id="mrs_01_0950__b1608596975">OK</strong>.</li></ol>
+</li></ul>
+<div class="note" id="mrs_01_0950__n36efd4381efe46bf943765153106cf47"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_0950__ae008dbed00b0422baa7da35ec615f064">In role management, the procedure for granting a role the permission of querying, inserting, and deleting Hive external table data is the same. After the metadata permission is granted, the HDFS permission is automatically granted.</p>
+</div></div>
+<ul id="mrs_01_0950__u35de2e3e77a744b3b9993dd1b74cc62f"><li id="mrs_01_0950__le6c49d4553df4ec7aa0f61682f50d9c1">Granting Column Permissions<p id="mrs_01_0950__ae6f026403a20443286230a773c463e14"><a name="mrs_01_0950__le6c49d4553df4ec7aa0f61682f50d9c1"></a><a name="le6c49d4553df4ec7aa0f61682f50d9c1"></a>Users have all permissions for the tables created by themselves in Hive and HDFS. Users do not have the permission to access the tables created by others. If a user needs to access some columns in tables created by other users, the user must be granted the permission for columns. After the Hive metadata permission is granted, the HDFS permission is automatically granted. The procedure for granting a role the permission of querying and inserting data in <strong id="mrs_01_0950__b62222266275">hcol</strong> of <strong id="mrs_01_0950__b23391629142512">htable</strong> is as follows:</p>
+<p id="mrs_01_0950__p7175104564419">For versions earlier than MRS 3.x, perform the following operations to grant column permissions:</p>
+<ol id="mrs_01_0950__o29ba71ddecbb4651bafac279fd129aaf"><li id="mrs_01_0950__ld69255dc8f90421da679554515658dee">On MRS Manager, choose <strong id="mrs_01_0950__b1262316151110">System</strong> &gt; <strong id="mrs_01_0950__b962521515118">Permission</strong> &gt; <strong id="mrs_01_0950__b1762513154112">Manage Role</strong>.</li><li id="mrs_01_0950__l3cee032f720e4c1aaa71a68098372c1f">Locate the row that contains <strong id="mrs_01_0950__b1285257192813">hrole</strong>, and click <strong id="mrs_01_0950__b08571776289">Modify</strong>.</li><li id="mrs_01_0950__lba69234e7eb847c89e90bfe0f423711e">Choose <strong id="mrs_01_0950__b207811842817">Hive</strong> &gt; <strong id="mrs_01_0950__b147822842819">Hive Read Write Privileges</strong>.</li><li id="mrs_01_0950__lbedf7518fdb343d181aa523f048d83c4">In the database list, click the specified database <strong id="mrs_01_0950__b5763114442810">hdb</strong> to display the <strong id="mrs_01_0950__b3228165010285">htable</strong> table in the database. Click the <strong id="mrs_01_0950__b19888454152812">htable</strong> table to display the <strong id="mrs_01_0950__b17252959172811">hcol</strong> column in the table.</li><li id="mrs_01_0950__l6451c28f28cc4ecd8853cb1e7ecd6aea">In the <strong id="mrs_01_0950__b1422418378292">Permission</strong> column of the <strong id="mrs_01_0950__b179301221112912">hcol</strong> column, select <strong id="mrs_01_0950__b1428092752920">Select</strong> and <strong id="mrs_01_0950__b10204113022913">Insert</strong>.</li><li id="mrs_01_0950__l98047d2481fb42b0be4f2e708af37cd0">Click <strong id="mrs_01_0950__b195515014293">OK</strong>.</li></ol>
+<p id="mrs_01_0950__p0529922456">For MRS 3.<em id="mrs_01_0950__i45161511153914">x</em> or later, perform the following operations:</p>
+<ol id="mrs_01_0950__ol1617653013456"><li id="mrs_01_0950__li6176163034511">On FusionInsight Manager, choose <strong id="mrs_01_0950__b79346876351957">System </strong>&gt; <strong id="mrs_01_0950__b127681995851957">Permission </strong>&gt; <strong id="mrs_01_0950__b25092108151957">Role</strong>.</li><li id="mrs_01_0950__li1717683044518">Locate the row that contains <strong id="mrs_01_0950__b1966179280">hrole</strong>, and click <strong id="mrs_01_0950__b125174145">Modify</strong>.</li><li id="mrs_01_0950__li161761930134510">Choose <em id="mrs_01_0950__i129352744951957">Name of the desired cluster</em> &gt; <strong id="mrs_01_0950__b41695039251957">Hive </strong>&gt; <strong id="mrs_01_0950__b87460144851957">Hive Read Write Privileges</strong>.</li><li id="mrs_01_0950__li4176930174513">In the database list, click the specified database <strong id="mrs_01_0950__b753885386">hdb</strong> to display the <strong id="mrs_01_0950__b885014456">htable</strong> table in the database. Click the <strong id="mrs_01_0950__b2021846291">htable</strong> table to display the <strong id="mrs_01_0950__b1191884038">hcol</strong> column in the table.</li><li id="mrs_01_0950__li10176530184517">In the <strong id="mrs_01_0950__b20820151251957">Permission</strong> column of the <strong id="mrs_01_0950__b203939611751957">hcol</strong> column, select <strong id="mrs_01_0950__b83623755251957">SELECT</strong> and <strong id="mrs_01_0950__b165479986251957">INSERT</strong>.</li><li id="mrs_01_0950__li101761730184513">Click <strong id="mrs_01_0950__b664384555">OK</strong>.</li></ol>
+</li></ul>
+<div class="note" id="mrs_01_0950__nee8e7a613e3b404da77518ef30cf56ca"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_0950__a04f393d46aba4cb5bcd880a94a25e638">In role management, after the metadata permission is granted, the HDFS permission is automatically granted. Therefore, after the column permission is granted, the HDFS ACL permission for all files of the table is automatically granted.</p>
+</div></div>
+<ul id="mrs_01_0950__ufab115a4c9714a87b2a99b32797a9f59"><li id="mrs_01_0950__l494a36bc366f49a183a7bac2f24295f6">Granting Database Permissions<p id="mrs_01_0950__a0e943e8ff93743118494d96f2aff7dba"><a name="mrs_01_0950__l494a36bc366f49a183a7bac2f24295f6"></a><a name="l494a36bc366f49a183a7bac2f24295f6"></a>Users have complete permission on the databases created by themselves in Hive and the HDFS. To access the databases created by others, they need to be granted the permission. After the Hive metadata permission is granted, the HDFS permission is automatically granted. The procedure for granting a role the permission of querying data and creating tables in database <strong id="mrs_01_0950__b81011043119">hdb</strong> is as follows. Other types of database operation permission are not supported.</p>
+<p id="mrs_01_0950__p14180353194618">For versions earlier than MRS 3.x, perform the following database authorization operations:</p>
+<ol id="mrs_01_0950__o625cde305b9c4813adf14371fe7c6b2c"><li id="mrs_01_0950__le5d9638ff3a84d9184d38ef0fe9a70e9">On MRS Manager, choose <strong id="mrs_01_0950__b67480181412">System</strong> &gt; <strong id="mrs_01_0950__b177491418312">Permission</strong> &gt; <strong id="mrs_01_0950__b10751918812">Manage Role</strong>.</li><li id="mrs_01_0950__l2f19ebb33cd940a4b40c8fb845bf3555">Locate the row that contains <strong id="mrs_01_0950__b9256111963115">hrole</strong>, and click <strong id="mrs_01_0950__b14257619103118">Modify</strong>.</li><li id="mrs_01_0950__lb4cb087b086a4aa5a8099d97670d8a28">Choose <strong id="mrs_01_0950__b9317202314">Hive</strong> &gt; <strong id="mrs_01_0950__b144202093114">Hive Read Write Privileges</strong>.</li><li id="mrs_01_0950__l128f654c19cc428c853243fe40fc8b65">In the <strong id="mrs_01_0950__b1571992513311">Permission</strong> column of the <strong id="mrs_01_0950__b12652142963115">hdb</strong> database, select <strong id="mrs_01_0950__b1492883420316">Select</strong> and <strong id="mrs_01_0950__b17648193718319">Create</strong>.</li><li id="mrs_01_0950__l9b9667b07f76439e83adfdf26a32fcd5">Click <strong id="mrs_01_0950__b155381238163115">OK</strong>.</li></ol>
+<p id="mrs_01_0950__p3170128104715">For MRS 3.<em id="mrs_01_0950__i18872123611395">x</em> or later, perform the following operations to grant database permissions:</p>
+<ol id="mrs_01_0950__ol11457213463"><li id="mrs_01_0950__li1645122124610">On FusionInsight Manager, choose <strong id="mrs_01_0950__b66302369351957">System </strong>&gt; <strong id="mrs_01_0950__b125888184351957">Permission </strong>&gt; <strong id="mrs_01_0950__b107729063251957">Role</strong>.</li><li id="mrs_01_0950__li13458215461">Locate the row that contains <strong id="mrs_01_0950__b1352654881">hrole</strong>, and click <strong id="mrs_01_0950__b2067303867">Modify</strong>.</li><li id="mrs_01_0950__li1345112174611">Choose <em id="mrs_01_0950__i178367051651957">Name of the desired cluster</em> &gt; <strong id="mrs_01_0950__b49186498151957">Hive </strong>&gt; <strong id="mrs_01_0950__b164172914951957">Hive Read Write Privileges</strong>.</li><li id="mrs_01_0950__li9463217468">In the <strong id="mrs_01_0950__b161398917951957">Permission</strong> column of the <strong id="mrs_01_0950__b200712701751957">hdb </strong>database, select <strong id="mrs_01_0950__b141959140351957">SELECT</strong> and <strong id="mrs_01_0950__b146803737651957">CREATE</strong>.</li><li id="mrs_01_0950__li184692154617">Click <strong id="mrs_01_0950__b30621929">OK</strong>.</li></ol>
+</li></ul>
+<div class="note" id="mrs_01_0950__na24c65fb944b40c0bb2790a4bd3b4d11"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0950__uab99b6f0a6084de4bcbe7fe29ebbb7c8"><li id="mrs_01_0950__l148b65bf40004fb6a2e748479910a75f">Any permission for a table in the database is automatically associated with the HDFS permission for the database directory to facilitate permission management. When any permission for a table is canceled, the system does not automatically cancel the HDFS permission for the database directory to ensure performance. In this case, users can only log in to the database and view table names.</li><li id="mrs_01_0950__l7af57260cbc7496d97ddb045ac733ba5">When the query permission on a database is added to or deleted from a role, the query permission on tables in the database is automatically added to or deleted from the role.</li></ul>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0950__sc05acac1f1354709b365dfc191d0af4b"><h4 class="sectiontitle">Concepts</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0950__t61b1f27ae37c4015ac2596a8c29aa39e" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Scenarios of using Hive tables, columns, or databases</caption><thead align="left"><tr id="mrs_01_0950__rdc1fc688dee94c5889ee7e14b696ee85"><th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.4.2.2.3.1.1"><p id="mrs_01_0950__a73853cb57d4e48a4bdcb8e088cbb64b5">Scenario</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.4.2.2.3.1.2"><p id="mrs_01_0950__ac0e56cc0e1804823af411cc4cb226203">Required Permission</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0950__r00d0944e22f34091bbed52d5ea2d0eda"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0950__a71d1f776660240d1b1b54dc621e4fda3">DESCRIBE TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.2 "><p id="mrs_01_0950__p034919421215">SELECT</p>
+</td>
+</tr>
+<tr id="mrs_01_0950__r59f55cb3b9fa49c1b9bf3de0f8ea9fe6"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0950__a8607cae9aa644ffaab6a5aed5b5fd2ea">SHOW PARTITIONS</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.2 "><p id="mrs_01_0950__p1334915420129">SELECT</p>
+</td>
+</tr>
+<tr id="mrs_01_0950__r25d6d7ba0dbe4ce08e21461fe1ac0164"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0950__a425150871ee6422a9a05dea904b03bda">ANALYZE TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.2 "><p id="mrs_01_0950__p23493410128">SELECT and INSERT</p>
+</td>
+</tr>
+<tr id="mrs_01_0950__r1d640045fd124559a55badb94a266617"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0950__a2cf7f3ae47c9405ca0516d4cd7cfa35f">SHOW COLUMNS</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.2 "><p id="mrs_01_0950__p1035012411127">SELECT</p>
+</td>
+</tr>
+<tr id="mrs_01_0950__r75101b83924a45f0afaadf6765077129"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0950__a96d3d002c6bd4bbf920340e7d197a100">SHOW TABLE STATUS</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.2 "><p id="mrs_01_0950__p143504417124">SELECT</p>
+</td>
+</tr>
+<tr id="mrs_01_0950__r950a72b00df248f49a4f79651d54be0e"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0950__aa270d874a6f840c6ab478d3026a58909">SHOW TABLE PROPERTIES</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.2 "><p id="mrs_01_0950__p53501441124">SELECT</p>
+</td>
+</tr>
+<tr id="mrs_01_0950__rdd41d9eb323048838ffdaefb7638f81f"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0950__af461528467e24b699770ab15769a0436">SELECT</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.2 "><p id="mrs_01_0950__p23508411212">SELECT</p>
+</td>
+</tr>
+<tr id="mrs_01_0950__ra76b7b690cf0437ab76d653dfb6fd670"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0950__afded35d032c34197a94b65f2a6643c08">EXPLAIN</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.2 "><p id="mrs_01_0950__p18350134151212">SELECT</p>
+</td>
+</tr>
+<tr id="mrs_01_0950__r52b3aabd3aea4758b10543181d98ed8e"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0950__ad970e9e0f9de4f27b227c6e4b952b718">CREATE VIEW</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.2 "><p id="mrs_01_0950__p19350448129">SELECT, Grant Of Select, and CREATE</p>
+</td>
+</tr>
+<tr id="mrs_01_0950__rf2938b8196324894bdf762834363907e"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0950__aa1c3c9a99b904084b74aeefd13d06a6b">SHOW CREATE TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.2 "><p id="mrs_01_0950__p103509451217">SELECT and Grant Of Select</p>
+</td>
+</tr>
+<tr id="mrs_01_0950__rc16b3cee44e54afb8f1940eb38cd929a"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0950__aa8ac6c495f6441f490d3dd5f4e61e0e7">CREATE TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.2 "><p id="mrs_01_0950__p143505414121">CREATE</p>
+</td>
+</tr>
+<tr id="mrs_01_0950__r557ced26755e42b191e09859934fb83d"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0950__a014a55eaf5ea402db4bf41836d34a40a">ALTER TABLE ADD PARTITION</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.2 "><p id="mrs_01_0950__p83508415123">INSERT</p>
+</td>
+</tr>
+<tr id="mrs_01_0950__r9a1ccf25472144bbaec66d639e686127"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0950__acef598c44a384596a08d79268e16b58e">INSERT</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.2 "><p id="mrs_01_0950__p83501041128">INSERT</p>
+</td>
+</tr>
+<tr id="mrs_01_0950__r70294250946e4654845a50e5b39980b7"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0950__af05b04953cc64b559d1200b0d2d8a880">INSERT OVERWRITE</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.2 "><p id="mrs_01_0950__p1635113471212">INSERT and DELETE</p>
+</td>
+</tr>
+<tr id="mrs_01_0950__r761549092cbd40f099fe595518d4e36a"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0950__aca9b16064c9442ebbeb17827edd5f36c">LOAD</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.2 "><p id="mrs_01_0950__p93510421219">INSERT and DELETE</p>
+</td>
+</tr>
+<tr id="mrs_01_0950__r76721df0fedc4f0fa79a6248d6647d43"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0950__a0d7147938b8a40268e0affacba65fda7">ALTER TABLE DROP PARTITION</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.2 "><p id="mrs_01_0950__p1735112413123">DELETE</p>
+</td>
+</tr>
+<tr id="mrs_01_0950__r67f846919346463f830fb3bffff27379"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0950__ac255e5044a244d8eba3655e28c331535">CREATE FUNCTION</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.2 "><p id="mrs_01_0950__p93511145123">Hive Admin Privilege</p>
+</td>
+</tr>
+<tr id="mrs_01_0950__r93b6676fc25945e7a7e8ba69097c7fe0"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0950__afb9c9305916a408eb1ee74e73c25a63d">DROP FUNCTION</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.2 "><p id="mrs_01_0950__p171486192188">Hive Admin Privilege</p>
+</td>
+</tr>
+<tr id="mrs_01_0950__r92becea616474e19a815ace66351234c"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.1 "><p id="mrs_01_0950__a1ed39a49117d41c983e5ad3c2e038bb8">ALTER DATABASE</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.2.3.1.2 "><p id="mrs_01_0950__p343432421816">Hive Admin Privilege</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0947.html">Permission Management</a></div>
+</div>
+</div>
+
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+
+<h1 class="topictitle1">Configuring Permissions to Use Other Components for Hive</h1>
+<div id="body1590395281691"><div class="section" id="mrs_01_0951__sb8f4c139bb5f40c68d85bc5594749a47"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0951__a97f0434b469b4d30884596195b4511c4">Hive may need to be associated with other components. For example, Yarn permissions are required in the scenario of using HQL statements to trigger MapReduce jobs, and HBase permissions are required in the Hive over HBase scenario. The following describes the operations in the two scenarios.</p>
+<div class="note" id="mrs_01_0951__n7b1bbda6ae194f4d949ce016add26261"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0951__u603f9b42f8ce4b80b932cdd8dc62dc7f"><li id="mrs_01_0951__l0adccce02d4f42b4b73dc6d5c877b50f">In security mode, Yarn and HBase permission management is enabled by default. Therefore, Yarn and HBase permissions need to be configured by default.</li><li id="mrs_01_0951__l50475015677c473ca98131d27c3a25ef">In common mode, Yarn and HBase permission management is disabled by default. That is, any user has permissions. Therefore, YARN and HBase permissions does not need to be configured by default. If a user enables the permission management by modifying the Yarn or HBase configurations, the Yarn and HBase permissions then need to be configured.</li><li id="mrs_01_0951__li168631085544">MRS 3.<em id="mrs_01_0951__i256418119298">x</em> or later supports Ranger. If the current component uses Ranger for permission control, you need to configure permission management policies based on Ranger. For details, see <a href="mrs_01_1858.html">Adding a Ranger Access Permission Policy for Hive</a>.</li></ul>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0951__sc4a09fcb4e6d4665a2de9f35aee3bbf9"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_0951__u5cd20879a1c64eefbbddbc64e2540182"><li id="mrs_01_0951__l856450cf9d7548008e31122aae84ffed">The Hive client has been installed. For example, the installation directory is <strong id="mrs_01_0951__b811915104418">/opt</strong><strong id="mrs_01_0951__b81191710642"></strong><strong id="mrs_01_0951__b1711914109419">/client</strong>.</li><li id="mrs_01_0951__le33111546d19468ba60c0ee10c24b614">You have obtained a user account with the <span id="mrs_01_0951__ph6527185844019">system </span>administrator permissions, such as <strong id="mrs_01_0951__b1993972213212">admin</strong>.</li></ul>
+</div>
+<div class="section" id="mrs_01_0951__s7ef4f16749134be1906d2c6e46c53499"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_0951__p55135322716"><strong id="mrs_01_0951__b5311851144518">Association with Yarn in MRS Earlier than 3.x</strong></p>
+<p id="mrs_01_0951__abc12b4412d2e41038f79d0a87789d9f3">Yarn permissions are required when HQL statements, such as <strong id="mrs_01_0951__a56ea7c5c86fc42629d4dac8bb489e410">insert</strong>, <strong id="mrs_01_0951__ae9728c2d118f4bb9a093ca61ccc8c77d">count</strong>, <strong id="mrs_01_0951__aeededb7ae8a74cb39261d6004000de7a">distinct</strong>, <strong id="mrs_01_0951__a348b6c579d6745b3847130f01f5acfef">group by</strong>, <strong id="mrs_01_0951__a5d0cb9035dd04a208ddf9e3d3dc00ee3">order by</strong>, <strong id="mrs_01_0951__a6950ae8a6e674ebca7561f8af1d26cc8">sort by</strong>, and <strong id="mrs_01_0951__a130bf2cbdb4b4cec99a8036708e5720d">join</strong>, are used to trigger MapReduce jobs. The following uses the procedure for assigning a role the permissions to run the <strong id="mrs_01_0951__ab11e6a0a45314df28527c6b4c3d54b5c">count</strong> statements in the <strong id="mrs_01_0951__b069072922317">thc</strong> table as an example.</p>
+<ol id="mrs_01_0951__o168e43d6f38a45aaab1a9282efd71db1"><li id="mrs_01_0951__l1482089303164006959fdc4997a28088"><span>Create a role on MRS Manager.</span></li><li id="mrs_01_0951__l7bc05d8308e54fbfb169de30526fa716"><span>In the <strong id="mrs_01_0951__b15968134532513">Permission</strong> table, choose <strong id="mrs_01_0951__b1570325913255">Yarn</strong> &gt; <strong id="mrs_01_0951__b822112416265">Scheduler Queue</strong> &gt; <strong id="mrs_01_0951__b13492167102611">root</strong>.</span></li><li id="mrs_01_0951__l4d1df6e1041541a798bf01d12300b8bf"><span>In the <strong id="mrs_01_0951__b12956164018254">Permission</strong> column of the default queue, select <strong id="mrs_01_0951__b1322801714263">Submit</strong> and click <strong id="mrs_01_0951__b152511420102620">OK</strong>.</span></li><li id="mrs_01_0951__l696d87ae0acf463fac396244f5f4717d"><span>In the <strong id="mrs_01_0951__b552182819269">Permission</strong> table, choose <strong id="mrs_01_0951__b493854311265">Hive</strong> &gt; <strong id="mrs_01_0951__b127531348182618">Hive Read Write Privileges</strong> &gt; <strong id="mrs_01_0951__b19872151122612">default</strong>, select <strong id="mrs_01_0951__b46031017271">Select</strong> for <strong id="mrs_01_0951__b178722452719">thc</strong>, and click <strong id="mrs_01_0951__b1667014762710">OK</strong>.</span></li></ol>
+<p id="mrs_01_0951__p543152317528"><strong id="mrs_01_0951__b1043162314523">Association with</strong><strong id="mrs_01_0951__b194311523185210"> Yarn</strong><strong id="mrs_01_0951__b25411434495"> in MRS 3.<em id="mrs_01_0951__i18468144812465">x</em> or Later</strong></p>
+<p id="mrs_01_0951__p9431112315214">Yarn permissions are required when HQL statements, such as <strong id="mrs_01_0951__b1987978922">insert</strong>, <strong id="mrs_01_0951__b522761946">count</strong>, <strong id="mrs_01_0951__b941231107">distinct</strong>, <strong id="mrs_01_0951__b611920">group by</strong>, <strong id="mrs_01_0951__b758653883">order by</strong>, <strong id="mrs_01_0951__b1154571062">sort by</strong>, and <strong id="mrs_01_0951__b1542350873">join</strong>, are used to trigger MapReduce jobs. The following uses the procedure for assigning a role the permissions to run the <strong id="mrs_01_0951__b2024105507">count</strong> statements in the <strong id="mrs_01_0951__b1624054701">thc</strong> table as an example.</p>
+<ol id="mrs_01_0951__ol1343213232524"><li id="mrs_01_0951__li194321232525"><span>Create a role on FusionInsight Manager.</span></li><li id="mrs_01_0951__li843252310521"><span>In the <strong id="mrs_01_0951__b31165712552355">Configure Resource Permission</strong> table, choose <em id="mrs_01_0951__i27928647852355">Name of the desired cluster</em> &gt; <strong id="mrs_01_0951__b708428852355">Yarn</strong> &gt; <strong id="mrs_01_0951__b96635815252355">Scheduler Queue</strong> &gt; <strong id="mrs_01_0951__b93227410052355">root</strong>.</span></li><li id="mrs_01_0951__li94321323125215"><span>In the <strong id="mrs_01_0951__b197291086752355">Permission</strong> column of the <strong id="mrs_01_0951__b135759855752355">default </strong>queue, select <strong id="mrs_01_0951__b50017258252355">Submit</strong> and click <span class="uicontrol" id="mrs_01_0951__uicontrol172571673052355"><b>OK</b></span>.</span></li><li id="mrs_01_0951__li74321823145215"><span>In the <strong id="mrs_01_0951__b176072799652355">Configure Resource Permission</strong> table, choose <em id="mrs_01_0951__i2259635052355">Name of the desired cluster</em> &gt; <strong id="mrs_01_0951__b33582709152355">Hive </strong>&gt; <strong id="mrs_01_0951__b38632087452355">Hive Read Write Privileges</strong> &gt; <strong id="mrs_01_0951__b180498221352355">default</strong>. Select <strong id="mrs_01_0951__b74435774752355">SELECT</strong> for table <strong id="mrs_01_0951__b44326569952355">thc</strong>, and click <strong id="mrs_01_0951__b99008143752355">OK</strong>.</span></li></ol>
+<p id="mrs_01_0951__p749713818712"><strong id="mrs_01_0951__b15509165504718">Hive over HBase Authorization in MRS Earlier than 3.x</strong></p>
+<p id="mrs_01_0951__a79628b1b5f884ec99d2b2518eafb31e9">After the permissions are assigned, you can use HQL statements that are similar to SQL statements to access HBase tables from Hive. The following uses the procedure for assigning a user the rights to query HBase tables as an example.</p>
+<ol id="mrs_01_0951__o0fe6d95738f9462b8122423d0815f083"><li id="mrs_01_0951__l5dcd76c4431243babfaf6cfed66ef47c"><span>On the role management page of MRS Manager, create an HBase role, for example, <strong id="mrs_01_0951__b17541549114">hive_hbase_create</strong>, and grant the permission to create HBase tables.</span><p><p id="mrs_01_0951__a05e5ac8ef9194eca883f5f0e4bfc1401">In the <strong id="mrs_01_0951__b356522114288">Permission</strong> table, choose <strong id="mrs_01_0951__b20235112522816">HBase</strong> &gt; <strong id="mrs_01_0951__b1353234102811">HBase Scope</strong> &gt; <strong id="mrs_01_0951__b1845263702810">global</strong>, select <strong id="mrs_01_0951__b8703164312283">create</strong> of the namespace <strong id="mrs_01_0951__b970094912815">default</strong>, and click <strong id="mrs_01_0951__b5695622810">OK</strong>.</p>
+</p></li><li id="mrs_01_0951__l1f8708bf45424de8aee48f595ee0453d"><span>On MRS Manager, create a human-machine user, for example, <strong id="mrs_01_0951__b166527545113">hbase_creates_user</strong>, add the user to the <strong id="mrs_01_0951__b1365855415115">hive</strong> group, and bind the <strong id="mrs_01_0951__b2065915543116">hive_hbase_create</strong> role to the user so that the user can create Hive and HBase tables.</span></li><li id="mrs_01_0951__le5c89eaab339455cbfafc7dfefe99b7e"><span><span id="mrs_01_0951__ph1824832115713">Log in to the node where the client is installed. For details, see <a href="https://docs.otc.t-systems.com/usermanual/mrs/mrs_01_0091.html" target="_blank" rel="noopener noreferrer">Installing a Client</a>.</span></span></li><li id="mrs_01_0951__l0f3a0529df284c05950bed4fcf7ece1b"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_0951__ac254199782ff42d5803b4235bd66d49f"><strong id="mrs_01_0951__ac649466204fe4a25a0571bc91bba4fa5">source /opt/client/bigdata_env</strong></p>
+</p></li><li id="mrs_01_0951__l9b6ad09bfa89459cb9c3e02bfe4d50ff"><span>Run the following command to authenticate the user:</span><p><p class="litext" id="mrs_01_0951__aeb6be69711f3469f95294f9d284a7637"><strong id="mrs_01_0951__a5360d2d7a8af46a6b6ea2962565ea949">kinit hbase_creates_user</strong></p>
+</p></li><li id="mrs_01_0951__l60c6415ee6f349ab85fa816f0645100e"><span>Run the following command to go to the shell environment of the Hive client:</span><p><p class="litext" id="mrs_01_0951__afbecb80aa4c54b1494c55ad9400dd684"><strong id="mrs_01_0951__a2bc438652a5a42c5a898165c802198da">beeline</strong></p>
+</p></li><li id="mrs_01_0951__l7f58131545b64e078dcae8477e34ca26"><span>Run the following command to create a table in Hive and HBase, for example, the <strong id="mrs_01_0951__b19347155419306">thh</strong> table.</span><p><p id="mrs_01_0951__ab576f56741474d77876b5126173d5a1f"><strong id="mrs_01_0951__aab970834fc0d4ed19d8f5d7127fa35ad">CREATE TABLE thh(id int, name string, country string) STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler' WITH SERDEPROPERTIES("hbase.columns.mapping" = "cf1:id,cf1:name,:key") TBLPROPERTIES ("hbase.table.name" = "thh");</strong></p>
+<p id="mrs_01_0951__a7a9ea5d3f8d942a9a09d6100dde2c50d">The created Hive table and the HBase table are stored in the Hive database <strong id="mrs_01_0951__b676133433218">default</strong> and the HBase namespace <strong id="mrs_01_0951__b35161643103212">default</strong>, respectively.</p>
+</p></li><li id="mrs_01_0951__lfe447181706a4eb7a112fd38f8d7235a"><span>On the role management page of MRS Manager, create a role, for example, <strong id="mrs_01_0951__b2381185812116">hive_hbase_select</strong>, and assign the role the permission to query the Hive table <strong id="mrs_01_0951__b338215813118">thh</strong> and the HBase table <strong id="mrs_01_0951__b193831358313">thh</strong>.</span><p><ol type="a" id="mrs_01_0951__o2f2af2b282974f5a9369bfb1a24cd7ff"><li id="mrs_01_0951__leeaae33901c74dc9b3e2db9f75964045">In the <strong id="mrs_01_0951__b1982179173510">Permission</strong> table, choose <strong id="mrs_01_0951__b739643203515">HBase</strong> &gt; <strong id="mrs_01_0951__b15099125362">HBase Scope</strong> &gt; <strong id="mrs_01_0951__b102191515133617">global</strong> &gt; <strong id="mrs_01_0951__b14648619203620">default</strong>, select <strong id="mrs_01_0951__b1861215241366">Read</strong> for the <strong id="mrs_01_0951__b9122132911368">thh</strong> table, and click <strong id="mrs_01_0951__b76781932103611">OK</strong> to grant the HBase role the permission to query the table.</li><li id="mrs_01_0951__ld5ef39342db04984817692213b53f93a">Edit a role. In the <strong id="mrs_01_0951__b842352706163024">Permission</strong> table, choose <strong id="mrs_01_0951__b842352706163027">HBase</strong> &gt; <strong id="mrs_01_0951__b842352706163031">HBase Scope</strong> &gt; <strong id="mrs_01_0951__b842352706163036">global</strong> &gt; <strong id="mrs_01_0951__b842352706163040">hbase</strong>. Select <strong id="mrs_01_0951__b84235270616311">Execute</strong> for <strong id="mrs_01_0951__b84235270616317">hbase:meta</strong>, and click <strong id="mrs_01_0951__b842352706163112">OK</strong>.</li><li id="mrs_01_0951__l944e235303d845bd98d6a10bf774d221">Edit a role. In the <strong id="mrs_01_0951__b1493616143119">Permission</strong> table, choose <strong id="mrs_01_0951__b2098516153113">Hive</strong> &gt; <strong id="mrs_01_0951__b1499416113113">Hive Read Write Privileges</strong> &gt; <strong id="mrs_01_0951__b12990169319">default</strong>, select <strong id="mrs_01_0951__b19100616103112">Select</strong> for <strong id="mrs_01_0951__b1410011162311">thh</strong>, and click <strong id="mrs_01_0951__b18100171633120">OK</strong>.</li></ol>
+</p></li><li id="mrs_01_0951__l9a651e1093c14468825765316b1b1eff"><span>On MRS Manager, create a human-machine user, for example, <strong id="mrs_01_0951__b66601238214">hbase_select_user</strong>, add the user to the <strong id="mrs_01_0951__b16611136217">hive</strong> group, and bind the <strong id="mrs_01_0951__b966363322">hive_hbase_select</strong> role to the user so that the user can query Hive and HBase tables.</span></li><li id="mrs_01_0951__l4a0a499259704fbe85c8f270e470d896"><span>Run the following command to configure environment variables:</span><p><p class="litext" id="mrs_01_0951__a14958cadc646462ba548eafe33dde6a4"><strong id="mrs_01_0951__aaafa965a8c1140e9910dc32747388c94">source /opt/client/bigdata_env</strong></p>
+</p></li><li id="mrs_01_0951__l2757c0cb0d4f4022bcaefe746d6c77af"><span>Run the following command to authenticate users:</span><p><p class="litext" id="mrs_01_0951__ac049e16ea1a745bb93722d79746bb5cc"><strong id="mrs_01_0951__a0f6184584375469ca1e34df29a80699d">kinit hbase_select_user</strong></p>
+</p></li><li id="mrs_01_0951__lf985d90033f2437f9d2693ce2eef1690"><span>Run the following command to go to the shell environment of the Hive client:</span><p><p class="litext" id="mrs_01_0951__ad554984bd6ed401095b62b3c3672cdc1"><strong id="mrs_01_0951__a2cc60a2f7d4a4d3988690de05194f13f">beeline</strong></p>
+</p></li><li id="mrs_01_0951__ldc07c3d7aca54a458e91557fb183a7d0"><span>Run the following command to use an HQL statement to query HBase table data:</span><p><p id="mrs_01_0951__a233d4f66ebc540b984e6160d5ace176e"><strong id="mrs_01_0951__ac15650d5076b46368dcd16df4897acc3">select * from thh;</strong></p>
+</p></li></ol>
+<p id="mrs_01_0951__p1765364755220"><strong id="mrs_01_0951__b16653184735216">Hive over HBase Authorization in MRS 3.<em id="mrs_01_0951__i3718184818512">x</em> or Later</strong></p>
+<p id="mrs_01_0951__p5653124715220">After the permissions are assigned, you can use HQL statements that are similar to SQL statements to access HBase tables from Hive. The following uses the procedure for assigning a user the rights to query HBase tables as an example.</p>
+<ol id="mrs_01_0951__ol1653164795211"><li id="mrs_01_0951__li2065312471528"><span>On the role management page of FusionInsight Manager, create an HBase role, for example, <strong id="mrs_01_0951__b171746079352355">hive_hbase_create</strong>, and grant the permission to create HBase tables.</span><p><p id="mrs_01_0951__p565374715523">In the <strong id="mrs_01_0951__b156178898352355">Configure Resource Permission</strong> table, choose <em id="mrs_01_0951__i137552329052355">Name of the desired cluster</em> &gt; <strong id="mrs_01_0951__b26890229652355">HBase </strong>&gt; <strong id="mrs_01_0951__b96530061652355">HBase Scope</strong> &gt; <strong id="mrs_01_0951__b155890334852355">global</strong>. Select <strong id="mrs_01_0951__b179827979452355">Create</strong> of the namespace <strong id="mrs_01_0951__b113224788852355">default</strong>, and click <strong id="mrs_01_0951__b81439735052355">OK</strong>.</p>
+</p></li><li id="mrs_01_0951__li10653184712528"><span>On FusionInsight Manager, create a human-machine user, for example, <strong id="mrs_01_0951__b92034485952355">hbase_creates_user</strong>, add the user to the <strong id="mrs_01_0951__b43602423852355">hive</strong> group, and bind the <strong id="mrs_01_0951__b146931292352355">hive_hbase_create</strong> role to the user so that the user can create Hive and HBase tables.</span></li><li id="mrs_01_0951__li11854133324411"><span>If the current component uses Ranger for permission control, grant the create permission for <strong id="mrs_01_0951__b1021041216613">hive_hbase_create</strong> or <strong id="mrs_01_0951__b1733319161164">hbase_creates_user</strong>. For details, see <a href="mrs_01_1858.html">Adding a Ranger Access Permission Policy for Hive</a>.</span></li><li id="mrs_01_0951__li26537475528"><span>Log in to the node where the client is installed as the client installation user.</span></li><li id="mrs_01_0951__li0653184714525"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_0951__p1065313472523"><strong id="mrs_01_0951__b16653144795216">source /opt/client/bigdata_env</strong></p>
+</p></li><li id="mrs_01_0951__li12653847135220"><span>Run the following command to authenticate the user:</span><p><p class="litext" id="mrs_01_0951__p6653114716528"><strong id="mrs_01_0951__b165394785220">kinit hbase_creates_user</strong></p>
+</p></li><li id="mrs_01_0951__li136535471525"><span>Run the following command to go to the shell environment of the Hive client:</span><p><p class="litext" id="mrs_01_0951__p96531247185217"><strong id="mrs_01_0951__b1165314785218">beeline</strong></p>
+</p></li><li id="mrs_01_0951__li46530476525"><span>Run the following command to create a table in Hive and HBase, for example, the <strong id="mrs_01_0951__b853916171">thh</strong> table.</span><p><p id="mrs_01_0951__p065314718529"><strong id="mrs_01_0951__b2653134785215">CREATE TABLE thh(id int, name string, country string) STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler' WITH SERDEPROPERTIES("hbase.columns.mapping" = "cf1:id,cf1:name,:key") TBLPROPERTIES ("hbase.table.name" = "thh");</strong></p>
+<p id="mrs_01_0951__p2653247135211">The created Hive table and the HBase table are stored in the Hive database <strong id="mrs_01_0951__b1160285491">default</strong> and the HBase namespace <strong id="mrs_01_0951__b401260466">default</strong>, respectively.</p>
+</p></li><li id="mrs_01_0951__li16531347135217"><span>On the role management page of FusionInsight Manager, create a role, for example, <strong id="mrs_01_0951__b132799868852355">hive_hbase_select</strong>, and assign the role the permission to query the Hive table <strong id="mrs_01_0951__b104705532852355">thh</strong> and the HBase table <strong id="mrs_01_0951__b206263925152355">thh</strong>.</span><p><ol type="a" id="mrs_01_0951__ol17653747125216"><li id="mrs_01_0951__li8653134755213">In the <strong id="mrs_01_0951__b89218577529">Configure Resource Permission</strong> table, choose <em id="mrs_01_0951__i149355712529">Name of the desired cluster</em> &gt; <strong id="mrs_01_0951__b10936578523">HBase </strong>&gt; <strong id="mrs_01_0951__b79485745218">HBase Scope</strong> &gt; <strong id="mrs_01_0951__b1994185775210">global </strong>&gt; <strong id="mrs_01_0951__b795155715220">default</strong>. Select <strong id="mrs_01_0951__b89512572524">read </strong>of the <strong id="mrs_01_0951__b10961357195210">thh</strong> table, and click <span class="uicontrol" id="mrs_01_0951__uicontrol1963571526"><b>OK</b></span> to grant the table query permission to the HBase role.</li><li id="mrs_01_0951__li11653164745211">Edit the role. In the <strong id="mrs_01_0951__b2316053552355">Configure Resource Permission</strong> table, choose <em id="mrs_01_0951__i5495174952355">Name of the desired cluster</em> &gt; <strong id="mrs_01_0951__b22575308352355">HBase </strong>&gt; <strong id="mrs_01_0951__b181781665852355">HBase Scope</strong> &gt; <strong id="mrs_01_0951__b171154913652355">global </strong>&gt; <strong id="mrs_01_0951__b144341734652355">hbase</strong>, select <strong id="mrs_01_0951__b212097109552355">Execute</strong> for <strong id="mrs_01_0951__b160860824652355">hbase:meta</strong>, and click <span class="uicontrol" id="mrs_01_0951__uicontrol16653204785210"><b>OK</b></span>.</li><li id="mrs_01_0951__li865444713522">Edit the role. In the <strong id="mrs_01_0951__b118060702052355">Configure Resource Permission</strong> table, choose <em id="mrs_01_0951__i135917061852355">Name of the desired cluster</em> &gt; <strong id="mrs_01_0951__b205009759152355">Hive </strong>&gt; <strong id="mrs_01_0951__b77335987652355">Hive Read Write Privileges</strong> &gt; <strong id="mrs_01_0951__b50148176952355">default</strong>. Select <strong id="mrs_01_0951__b145633592352355">SELECT</strong> for the <strong id="mrs_01_0951__b101662333252355">thh </strong>table, and click <strong id="mrs_01_0951__b144510946652355">OK</strong>.</li></ol>
+</p></li><li id="mrs_01_0951__li46541747205214"><span>On FusionInsight Manager, create a human-machine user, for example, <strong id="mrs_01_0951__b16335123452355">hbase_select_user</strong>, add the user to the <strong id="mrs_01_0951__b140081899252355">hive</strong> group, and bind the <strong id="mrs_01_0951__b205005410252355">hive_hbase_select</strong> role to the user so that the user can query Hive and HBase tables.</span></li><li id="mrs_01_0951__li4654174713527"><span>Run the following command to configure environment variables:</span><p><p class="litext" id="mrs_01_0951__p146541247125213"><strong id="mrs_01_0951__b1654204718521">source /opt/client/bigdata_env</strong></p>
+</p></li><li id="mrs_01_0951__li7654747195210"><span>Run the following command to authenticate users:</span><p><p class="litext" id="mrs_01_0951__p15654114710521"><strong id="mrs_01_0951__b56547473528">kinit hbase_select_user</strong></p>
+</p></li><li id="mrs_01_0951__li1665444775211"><span>Run the following command to go to the shell environment of the Hive client:</span><p><p class="litext" id="mrs_01_0951__p1565414714521"><strong id="mrs_01_0951__b1165454719524">beeline</strong></p>
+</p></li><li id="mrs_01_0951__li11654124745217"><span>Run the following command to use an HQL statement to query HBase table data:</span><p><p id="mrs_01_0951__p5654647105211"><strong id="mrs_01_0951__b1865484785214">select * from thh;</strong></p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0947.html">Permission Management</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_0952"></a><a name="mrs_01_0952"></a>
+
+<h1 class="topictitle1">Using a Hive Client</h1>
+<div id="body1590395281693"><div class="section" id="mrs_01_0952__s189a552b8b4942fdb075311d135d088e"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0952__a729b5025be954c9a8178d86f5aabe1de">This section guides users to use a Hive client in an O&amp;M or service scenario. </p>
+</div>
+<div class="section" id="mrs_01_0952__sa6b9ccb3f042427eb19b43be2a0b2132"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_0952__u24e1c44d76e440009e57c7db31df8b7d"><li id="mrs_01_0952__lb075a551ae0e4087abaa6b5b20999b49">The client has been installed. For example, the client is installed in the <strong id="mrs_01_0952__b1303122513442">/opt/hadoopclient</strong> directory. The client directory in the following operations is only an example. Change it to the actual installation directory.</li><li id="mrs_01_0952__la8a352e20c414015a0e60f8023ecc0a5">Service component users are created by the administrator as required. In security mode, machine-machine users need to download the keytab file. A human-machine user must change the password upon the first login.</li></ul>
+</div>
+<div class="section" id="mrs_01_0952__s2bf83637be514738a9c473ff512bf1e8"><h4 class="sectiontitle">Using the Hive Client (Versions Earlier Than MRS 3.x)</h4><ol id="mrs_01_0952__ob42d0205e4a24acfa712dfa54121455f"><li id="mrs_01_0952__li7228846162216"><span>Log in to the node where the client is installed as the client installation user.</span></li><li id="mrs_01_0952__l8276fb953ede48e3bcae37889eabd834"><span>Run the following command to go to the client installation directory:</span><p><p id="mrs_01_0952__a7734bbc033c24c0e96a22957af2f367f"><strong id="mrs_01_0952__af1de2390d4ec4df6b0e28574d3329dff">cd </strong><strong id="mrs_01_0952__b499310479379">/opt/hadoopclient</strong></p>
+</p></li><li id="mrs_01_0952__l5597fd376c554a00a433496294b4b278"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_0952__a988e7b87692b4a528f97f0da18a8f07e"><strong id="mrs_01_0952__a32ecf708d4cb4e4d9c017de49ec5b482">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_0952__ld661d1bcf5d74879a7d849cd7c0c1385"><span>Log in to the Hive client based on the cluster authentication mode.</span><p><ul id="mrs_01_0952__u3aa29e5ff09943f4beea98856990f774"><li id="mrs_01_0952__l33866974acd3485d91b1ab7b09109770">In security mode, run the following command to complete user authentication and log in to the Hive client:<p id="mrs_01_0952__af6d25c71dd8b42918f2ee66ce22fcb54"><a name="mrs_01_0952__l33866974acd3485d91b1ab7b09109770"></a><a name="l33866974acd3485d91b1ab7b09109770"></a><strong id="mrs_01_0952__b8790165018410">kinit</strong> <em id="mrs_01_0952__i1579617507419">Component service user</em></p>
+<p id="mrs_01_0952__ae31bf0ac43b54ae1ad6015a618753c1d"><strong id="mrs_01_0952__af8eb14eb0f8242beab8dcd59b314375c">beeline</strong></p>
+</li><li id="mrs_01_0952__l9401eeec55ec40748da9e0b42341df6f">In common mode, run the following command to log in to the Hive client. If no component service user is specified, the current OS user is used to log in to the Hive client.<p id="mrs_01_0952__a0d9dfb7ce9a4433c9e1e7d2924bb790a"><a name="mrs_01_0952__l9401eeec55ec40748da9e0b42341df6f"></a><a name="l9401eeec55ec40748da9e0b42341df6f"></a><strong id="mrs_01_0952__b784911315514">beeline -n</strong> <em id="mrs_01_0952__i11854101311515">component service user</em></p>
+</li></ul>
+<div class="note" id="mrs_01_0952__note12138175362714"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0952__p19138155392718">After a beeline connection is established, you can compile and submit HQL statements to execute related tasks. To run the Catalog client command, you need to run the <strong id="mrs_01_0952__b9384181912288">!q</strong> command first to exit the beeline environment.</p>
+</div></div>
+</p></li><li id="mrs_01_0952__l32b8658f263f4afaba25e5f745bf16f7"><span>Run the following command to execute the HCatalog client command:</span><p><p id="mrs_01_0952__a7e4e2c3c5eb34dc39175e63fc1ddc626"><strong id="mrs_01_0952__a074191eb14004c8db3772f43a870aa8a">hcat -e </strong><em id="mrs_01_0952__a890e2be1f4e74b98987a42443f80bf1a">"cmd"</em></p>
+<p id="mrs_01_0952__a741a334e035f4330a3e48fc35e7515e8"><em id="mrs_01_0952__i1380817171486">cmd</em> must be a Hive DDL statement, for example, <strong id="mrs_01_0952__acaf313f6c0dd41b0a7a267716535abaa">hcat -e "show tables"</strong>.</p>
+<div class="note" id="mrs_01_0952__n56ed1c57eeba4349b6ab6baa81131a57"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0952__ue477c4393f9642cd9f3c187df07df071"><li id="mrs_01_0952__l46cbe7ab7b174db48a06d59656e913de">To use the HCatalog client, choose <strong id="mrs_01_0952__b1063714249719">More</strong> &gt; <strong id="mrs_01_0952__b395210292075">Download Client</strong> on the service page to download the clients of all services. This restriction does not apply to the beeline client.</li><li id="mrs_01_0952__li1909844614444">Due to permission model incompatibility, tables created using the HCatalog client cannot be accessed on the HiveServer client. However, the tables can be accessed on the WebHCat client.</li><li id="mrs_01_0952__l31d20a74c46c4e3d8edf0843f8c26c9b">If you use the HCatalog client in Normal mode, the system performs DDL commands using the current user who has logged in to the operating system.</li><li id="mrs_01_0952__lc25a7754cdd943daa9b362fa3914cdc7">Exit the beeline client by running the <strong id="mrs_01_0952__ac3611993bc8c4f9193aaf22ad0b4ae0e">!q</strong> command instead of by pressing <strong id="mrs_01_0952__b12129162841212">Ctrl + c</strong>. Otherwise, the temporary files generated by the connection cannot be deleted and a large number of junk files will be generated as a result.</li><li id="mrs_01_0952__l37f1937ff4b849139459a640110818be">If multiple statements need to be entered during the use of beeline clients, separate the statements from each other using semicolons (<span class="parmname" id="mrs_01_0952__pf76a6997fa5f4b8eb865a1879e11f751"><b>;</b></span>) and set the value of <span class="parmname" id="mrs_01_0952__p28e4092ed8344f2d843d95f114af7a62"><b>entireLineAsCommand</b></span> to <span class="parmvalue" id="mrs_01_0952__p022e8e97a7c44285bb1f9191f7cf308c"><b>false</b></span>. <p id="mrs_01_0952__a90553c6698c94a5a823757fa04e814e7">Setting method: If beeline has not been started, run the <strong id="mrs_01_0952__a5a1205daa5b1416aa271209b3431f859">beeline --entireLineAsCommand=false</strong> command. If the beeline has been started, run the <strong id="mrs_01_0952__a6bfcfbb8dcf9427ca1ce8a3d362aff34">!set entireLineAsCommand false</strong> command.</p>
+<p id="mrs_01_0952__a3b76c6d5326c41e88f8989661255e719">After the setting, if a statement contains semicolons (<span class="parmname" id="mrs_01_0952__pc1bb13a2248d4c489047459602e2a905"><b>;</b></span>) that do not indicate the end of the statement, escape characters must be added, for example, <strong id="mrs_01_0952__ae21e06ad43394a74bb8c181b90cc2c32">select concat_ws('\;', collect_set(col1)) from tbl</strong>. </p>
+</li></ul>
+</div></div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0952__section363014973119"><h4 class="sectiontitle">Using the Hive Client (MRS 3.x or Later)</h4><ol id="mrs_01_0952__ol1971420121338"><li id="mrs_01_0952__li12714181212336"><span>Log in to the node where the client is installed as the client installation user.</span></li><li id="mrs_01_0952__li15714512153310"><span>Run the following command to go to the client installation directory:</span><p><p id="mrs_01_0952__p271414125334"><strong id="mrs_01_0952__b10714171283313">cd </strong><strong id="mrs_01_0952__b168141171381">/opt/hadoopclient</strong></p>
+</p></li><li id="mrs_01_0952__li177141412133318"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_0952__p771411126331"><strong id="mrs_01_0952__b10714512113313">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_0952__li87147128336"><span>MRS 3.<em id="mrs_01_0952__i20935104812311">X</em> supports multiple Hive instances. If you use the client to connect to a specific Hive instance in a scenario when multiple Hive instances are installed, run the following command to load the environment variables of the instance. Otherwise, skip this step. For example, load the environment variables of the Hive2 instance.</span><p><p id="mrs_01_0952__p27155125339"><strong id="mrs_01_0952__b271510126330">source Hive2/component_env</strong></p>
+</p></li><li id="mrs_01_0952__li37151412133313"><span>Log in to the Hive client based on the cluster authentication mode.</span><p><ul id="mrs_01_0952__ul18715412113315"><li id="mrs_01_0952__li57154129333">In security mode, run the following command to complete user authentication and log in to the Hive client:<p id="mrs_01_0952__p971519128331"><a name="mrs_01_0952__li57154129333"></a><a name="li57154129333"></a><strong id="mrs_01_0952__b67386476">kinit</strong> <em id="mrs_01_0952__i1264153937">Component service user</em></p>
+<p id="mrs_01_0952__p18715201283320"><strong id="mrs_01_0952__b1571571214334">beeline</strong></p>
+</li><li id="mrs_01_0952__li8715212193313">In common mode, run the following command to log in to the Hive client. If no component service user is specified, the current OS user is used to log in to the Hive client.<p id="mrs_01_0952__p107153129338"><a name="mrs_01_0952__li8715212193313"></a><a name="li8715212193313"></a><strong id="mrs_01_0952__b1340229213">beeline -n</strong> <em id="mrs_01_0952__i18544790">component service user</em></p>
+</li></ul>
+</p></li><li id="mrs_01_0952__li1771521253313"><span>Run the following command to execute the HCatalog client command:</span><p><p id="mrs_01_0952__p11715171253312"><strong id="mrs_01_0952__b177155128334">hcat -e </strong><em id="mrs_01_0952__i07155127331">"cmd"</em></p>
+<p id="mrs_01_0952__p7715111243314"><em id="mrs_01_0952__i1364192001">cmd</em> must be a Hive DDL statement, for example, <strong id="mrs_01_0952__b548759080">hcat -e "show tables"</strong>.</p>
+<div class="note" id="mrs_01_0952__note871512128335"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0952__ul1271561213314"><li id="mrs_01_0952__li2071512120333">To use the HCatalog client, choose <strong id="mrs_01_0952__b8681479152239">More </strong>&gt; <strong id="mrs_01_0952__b157685956052239">Download Client</strong> on the service page to download the clients of all services. This restriction does not apply to the beeline client.</li><li id="mrs_01_0952__li177151512103316">Due to permission model incompatibility, tables created using the HCatalog client cannot be accessed on the HiveServer client. However, the tables can be accessed on the WebHCat client.</li><li id="mrs_01_0952__li19715912143317">If you use the HCatalog client in Normal mode, the system performs DDL commands using the current user who has logged in to the operating system.</li><li id="mrs_01_0952__li117154124331">Exit the beeline client by running the <strong id="mrs_01_0952__b1135237241">!q</strong> command instead of by pressing <strong id="mrs_01_0952__b854961442">Ctrl + C</strong>. Otherwise, the temporary files generated by the connection cannot be deleted and a large number of junk files will be generated as a result.</li><li id="mrs_01_0952__li37151812133319">If multiple statements need to be entered during the use of beeline clients, separate the statements from each other using semicolons (<span class="parmname" id="mrs_01_0952__parmname704254238"><b>;</b></span>) and set the value of <span class="parmname" id="mrs_01_0952__parmname499809070"><b>entireLineAsCommand</b></span> to <span class="parmvalue" id="mrs_01_0952__parmvalue301660392"><b>false</b></span>. <p id="mrs_01_0952__p671612123335">Setting method: If beeline has not been started, run the <strong id="mrs_01_0952__b1162970878">beeline --entireLineAsCommand=false</strong> command. If the beeline has been started, run the <strong id="mrs_01_0952__b1575693071">!set entireLineAsCommand false</strong> command.</p>
+<p id="mrs_01_0952__p147167126334">After the setting, if a statement contains semicolons (<span class="parmname" id="mrs_01_0952__parmname332865619"><b>;</b></span>) that do not indicate the end of the statement, escape characters must be added, for example, <strong id="mrs_01_0952__b603845753">select concat_ws('\;', collect_set(col1)) from tbl</strong>. </p>
+</li></ul>
+</div></div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0952__section1462718419"><h4 class="sectiontitle">Common Hive Client Commands</h4><p id="mrs_01_0952__p10844101962010">The following table lists common Hive Beeline commands.</p>
+<p id="mrs_01_0952__p13576181674114">For more commands, see <a href="https://cwiki.apache.org/confluence/display/Hive/HiveServer2+Clients#HiveServer2Clients-BeelineCommands" target="_blank" rel="noopener noreferrer">https://cwiki.apache.org/confluence/display/Hive/HiveServer2+Clients#HiveServer2Clients-BeelineCommands</a>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0952__table122538012428" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Common Hive Beeline commands</caption><thead align="left"><tr id="mrs_01_0952__row142532012426"><th align="left" class="cellrowborder" valign="top" width="34.94%" id="mcps1.3.5.4.2.3.1.1"><p id="mrs_01_0952__p122532016422">Command</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="65.06%" id="mcps1.3.5.4.2.3.1.2"><p id="mrs_01_0952__p162532064218">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0952__row2021434171115"><td class="cellrowborder" valign="top" width="34.94%" headers="mcps1.3.5.4.2.3.1.1 "><p id="mrs_01_0952__p71342032665">set &lt;key&gt;=&lt;value&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.06%" headers="mcps1.3.5.4.2.3.1.2 "><p id="mrs_01_0952__p19842133413116">Sets the value of a specific configuration variable (key).</p>
+<div class="note" id="mrs_01_0952__note2835203419111"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_0952__p913842513334">If the variable name is incorrectly spelled, the Beeline does not display an error.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_0952__row1960353171115"><td class="cellrowborder" valign="top" width="34.94%" headers="mcps1.3.5.4.2.3.1.1 "><p id="mrs_01_0952__p313417325616">set</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.06%" headers="mcps1.3.5.4.2.3.1.2 "><p id="mrs_01_0952__p789933320337">Prints the list of configuration variables overwritten by users or Hive.</p>
+</td>
+</tr>
+<tr id="mrs_01_0952__row47651428141117"><td class="cellrowborder" valign="top" width="34.94%" headers="mcps1.3.5.4.2.3.1.1 "><p id="mrs_01_0952__p813483215614">set -v</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.06%" headers="mcps1.3.5.4.2.3.1.2 "><p id="mrs_01_0952__p1321154133317">Prints all configuration variables of Hadoop and Hive.</p>
+</td>
+</tr>
+<tr id="mrs_01_0952__row11871191912314"><td class="cellrowborder" valign="top" width="34.94%" headers="mcps1.3.5.4.2.3.1.1 "><p id="mrs_01_0952__p31341132960">add FILE[S] &lt;filepath&gt; &lt;filepath&gt;*add JAR[S] &lt;filepath&gt; &lt;filepath&gt;*add ARCHIVE[S] &lt;filepath&gt; &lt;filepath&gt;*</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.06%" headers="mcps1.3.5.4.2.3.1.2 "><p id="mrs_01_0952__p17685948163315">Adds one or more files, JAR files, or ARCHIVE files to the resource list of the distributed cache.</p>
+</td>
+</tr>
+<tr id="mrs_01_0952__row1215814241538"><td class="cellrowborder" valign="top" width="34.94%" headers="mcps1.3.5.4.2.3.1.1 "><p id="mrs_01_0952__p1913473212611">add FILE[S] &lt;ivyurl&gt; &lt;ivyurl&gt;*</p>
+<p id="mrs_01_0952__p111341327612">add JAR[S] &lt;ivyurl&gt; &lt;ivyurl&gt;*</p>
+<p id="mrs_01_0952__p15134183219611">add ARCHIVE[S] &lt;ivyurl&gt; &lt;ivyurl&gt;*</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.06%" headers="mcps1.3.5.4.2.3.1.2 "><p id="mrs_01_0952__p5652814103420">Adds one or more files, JAR files, or ARCHIVE files to the resource list of the distributed cache using the lvy URL in the <strong id="mrs_01_0952__b847441392411">ivy://goup:module:version?query_string</strong> format.</p>
+</td>
+</tr>
+<tr id="mrs_01_0952__row2333428433"><td class="cellrowborder" valign="top" width="34.94%" headers="mcps1.3.5.4.2.3.1.1 "><p id="mrs_01_0952__p151351032766">list FILE[S]list JAR[S]list ARCHIVE[S]</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.06%" headers="mcps1.3.5.4.2.3.1.2 "><p id="mrs_01_0952__p3838194153516">Lists the resources that have been added to the distributed cache.</p>
+</td>
+</tr>
+<tr id="mrs_01_0952__row78354332312"><td class="cellrowborder" valign="top" width="34.94%" headers="mcps1.3.5.4.2.3.1.1 "><p id="mrs_01_0952__p613563211618">list FILE[S] &lt;filepath&gt;*list JAR[S] &lt;filepath&gt;*list ARCHIVE[S] &lt;filepath&gt;*</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.06%" headers="mcps1.3.5.4.2.3.1.2 "><p id="mrs_01_0952__p2997121114351">Checks whether given resources have been added to the distributed cache.</p>
+</td>
+</tr>
+<tr id="mrs_01_0952__row167295557319"><td class="cellrowborder" valign="top" width="34.94%" headers="mcps1.3.5.4.2.3.1.1 "><p id="mrs_01_0952__p313514321965">delete FILE[S] &lt;filepath&gt;*delete JAR[S] &lt;filepath&gt;*delete ARCHIVE[S] &lt;filepath&gt;*</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.06%" headers="mcps1.3.5.4.2.3.1.2 "><p id="mrs_01_0952__p16659182119354">Deletes resources from the distributed cache.</p>
+</td>
+</tr>
+<tr id="mrs_01_0952__row188142041049"><td class="cellrowborder" valign="top" width="34.94%" headers="mcps1.3.5.4.2.3.1.1 "><p id="mrs_01_0952__p91351732261">delete FILE[S] &lt;ivyurl&gt; &lt;ivyurl&gt;*</p>
+<p id="mrs_01_0952__p5135432261">delete JAR[S] &lt;ivyurl&gt; &lt;ivyurl&gt;*</p>
+<p id="mrs_01_0952__p1413510321561">delete ARCHIVE[S] &lt;ivyurl&gt; &lt;ivyurl&gt;*</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.06%" headers="mcps1.3.5.4.2.3.1.2 "><p id="mrs_01_0952__p792102913516">Delete the resource added using <strong id="mrs_01_0952__b1341711513289">&lt;ivyurl&gt;</strong> from the distributed cache.</p>
+</td>
+</tr>
+<tr id="mrs_01_0952__row76481095413"><td class="cellrowborder" valign="top" width="34.94%" headers="mcps1.3.5.4.2.3.1.1 "><p id="mrs_01_0952__p0135193220611">reload</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.06%" headers="mcps1.3.5.4.2.3.1.2 "><p id="mrs_01_0952__p15404113783515">Enable HiveServer2 to discover the change of the JAR file <strong id="mrs_01_0952__b9564173716282">hive.reloadable.aux.jars.path</strong> in the specified path. (You do not need to restart HiveServer2.) Change actions include adding, deleting, or updating JAR files.</p>
+</td>
+</tr>
+<tr id="mrs_01_0952__row3287141815420"><td class="cellrowborder" valign="top" width="34.94%" headers="mcps1.3.5.4.2.3.1.1 "><p id="mrs_01_0952__p191359321863">dfs &lt;dfs command&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.06%" headers="mcps1.3.5.4.2.3.1.2 "><p id="mrs_01_0952__p1383010912360">Runs the <strong id="mrs_01_0952__b2492632132913">dfs</strong> command.</p>
+</td>
+</tr>
+<tr id="mrs_01_0952__row74947138419"><td class="cellrowborder" valign="top" width="34.94%" headers="mcps1.3.5.4.2.3.1.1 "><p id="mrs_01_0952__p813717320611">&lt;query string&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.06%" headers="mcps1.3.5.4.2.3.1.2 "><p id="mrs_01_0952__p14213131616365">Executes the Hive query and prints the result to the standard output.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0953.html b/docs/mrs/component-operation-guide/mrs_01_0953.html
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+<a name="mrs_01_0953"></a><a name="mrs_01_0953"></a>
+
+<h1 class="topictitle1">Using HDFS Colocation to Store Hive Tables</h1>
+<div id="body1590395281695"><div class="section" id="mrs_01_0953__section285118333383"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0953__p14851203353817">HDFS Colocation is the data location control function provided by HDFS. The HDFS Colocation API stores associated data or data on which associated operations are performed on the same storage node. Hive supports the HDFS Colocation function. When Hive tables are created, after the locator information is set for table files, data files of related tables are stored on the same storage node when data is inserted into tables using the insert statement (other data import modes are not supported). This ensures convenient and efficient data computing among associated tables. The supported table formats are only TextFile and RCFile.</p>
+<div class="note" id="mrs_01_0953__note145732815399"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0953__p154806338390">This section applies to MRS 3.<em id="mrs_01_0953__i87225899252241">x</em> or later.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0953__section6602102914387"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0953__ol08524339383"><li id="mrs_01_0953__li199441911396"><span>Log in to the node where the client is installed as a client installation user.</span></li><li id="mrs_01_0953__l8276fb953ede48e3bcae37889eabd834"><span>Run the following command to switch to the client installation directory, for example, <span class="filepath" id="mrs_01_0953__filepath279514561043"><b>opt/client</b></span>:</span><p><p id="mrs_01_0953__a7734bbc033c24c0e96a22957af2f367f"><strong id="mrs_01_0953__af1de2390d4ec4df6b0e28574d3329dff">cd /opt/client</strong></p>
+</p></li><li id="mrs_01_0953__l5597fd376c554a00a433496294b4b278"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_0953__a988e7b87692b4a528f97f0da18a8f07e"><strong id="mrs_01_0953__a32ecf708d4cb4e4d9c017de49ec5b482">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_0953__ld661d1bcf5d74879a7d849cd7c0c1385"><span>If the cluster is in security mode, run the following command to authenticate the user:</span><p><p id="mrs_01_0953__p106368154427"><strong id="mrs_01_0953__b71613283715">kinit</strong> <em id="mrs_01_0953__i32118283714">MRS username</em></p>
+</p></li><li id="mrs_01_0953__li1085212333384"><span>Create the <em id="mrs_01_0953__i198521433153810">groupid</em> through the HDFS API.</span><p><p class="litext" id="mrs_01_0953__p148527338389"><strong id="mrs_01_0953__b5852153318382">hdfs colocationadmin -createGroup -groupId <em id="mrs_01_0953__i7852173318386">&lt;groupid&gt;</em> -locatorIds <em id="mrs_01_0953__i11852163383811">&lt;locatorid1&gt;</em>,<em id="mrs_01_0953__i19852533123818">&lt;locatorid2&gt;</em>,<em id="mrs_01_0953__i58521133143812">&lt;locatorid3&gt;</em></strong></p>
+<div class="note" id="mrs_01_0953__note13852123318389"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_0953__p685214333389">In the preceding command, <em id="mrs_01_0953__i85910143588">&lt;groupid&gt;</em> indicates the name of the created group. The group created in this example contains three locators. You can define the number of locators as required.</p>
+<p class="text" id="mrs_01_0953__p188529333385">For details about group ID creation and HDFS Colocation, see HDFS description.</p>
+</div></div>
+</p></li><li id="mrs_01_0953__li1434310384368"><span>Run the following command to log in to the Hive client:</span><p><p id="mrs_01_0953__p1345154183714"><strong id="mrs_01_0953__b4301198183717">beeline</strong></p>
+</p></li><li id="mrs_01_0953__li1085213317382"><span>Enable Hive to use colocation.</span><p><p id="mrs_01_0953__p98523337383">Assume that <strong id="mrs_01_0953__b19613122701">table_name1</strong> and <strong id="mrs_01_0953__b149371572008">table_name2</strong> are associated with each other. Run the following statements to create them:</p>
+<p id="mrs_01_0953__p585214337380"><strong id="mrs_01_0953__b8852163319385">CREATE TABLE <em id="mrs_01_0953__i18852193320382">&lt;[db_name.]table_name1&gt;[(col_name data_type , ...)]</em>  [ROW FORMAT <em id="mrs_01_0953__i285210331383">&lt;row_format&gt;</em>]  [STORED AS <em id="mrs_01_0953__i1485243313815">&lt;file_format&gt;</em>] TBLPROPERTIES("groupId"=" <em id="mrs_01_0953__i6852133163810">&lt;group&gt;</em> ","locatorId"="<em id="mrs_01_0953__i17852163313813">&lt;locator1&gt;</em>");</strong></p>
+<p id="mrs_01_0953__p168524337382"><strong id="mrs_01_0953__b14852183319387">CREATE TABLE <em id="mrs_01_0953__i208521733193810">&lt;[db_name.]table_name2&gt; [(col_name data_type , ...)]</em>   [ROW FORMAT <em id="mrs_01_0953__i20852193312382">&lt;row_format&gt;</em>]  [STORED AS <em id="mrs_01_0953__i13852333193810">&lt;file_format&gt;</em>] TBLPROPERTIES("groupId"=" <em id="mrs_01_0953__i1785233318382">&lt;group&gt;</em> ","locatorId"="<em id="mrs_01_0953__i1685293313381">&lt;locator1&gt;</em>");</strong></p>
+<p id="mrs_01_0953__p4852183383813">After data is inserted into <strong id="mrs_01_0953__b87004435017">table_name1</strong> and <strong id="mrs_01_0953__b1970011436020">table_name2</strong> using the insert statement, data files of <strong id="mrs_01_0953__b118712551106">table_name1</strong> and <strong id="mrs_01_0953__b1987855709">table_name2</strong> are distributed to the same storage position in the HDFS, facilitating associated operations among the two tables.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0954.html b/docs/mrs/component-operation-guide/mrs_01_0954.html
new file mode 100644
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+<a name="mrs_01_0954"></a><a name="mrs_01_0954"></a>
+
+<h1 class="topictitle1">Using the Hive Column Encryption Function</h1>
+<div id="body1590395281696"><div class="section" id="mrs_01_0954__s4baf5ef68c814051a43632bc511161e3"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0954__af10dfaf8727a4028bb89fb158a7ee23f">Hive supports encryption of one or multiple columns in a table. When creating a Hive table, you can specify the column to be encrypted and encryption algorithm. When data is inserted into the table using the insert statement, the related columns are encrypted. Column encryption can be performed in HDFS tables of only the TextFile and SequenceFile file formats. The Hive column encryption does not support views and the Hive over HBase scenario.</p>
+<p id="mrs_01_0954__a8c69cafbf89a4d04ae0adecf2ddcddd1">Hive supports two column encryption algorithms, which can be specified during table creation:</p>
+<ul id="mrs_01_0954__uf5c6828f93c54b5fbdc5ae89c6fc79f1"><li id="mrs_01_0954__lb2ed299260da42f7ae205936dc5f6cfb">AES (the encryption class is org.apache.hadoop.hive.serde2.AESRewriter)</li><li id="mrs_01_0954__la4b8e5e0b9384d8db0396a5d8429bb6c">SMS4 (the encryption class is org.apache.hadoop.hive.serde2.SMS4Rewriter)</li></ul>
+<div class="note" id="mrs_01_0954__na03bfe6abc9d4843ac084f0681dd548f"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0954__ul856512713286"><li id="mrs_01_0954__li4565527122811">In national cryptographic cluster scenarios, Hive column encryption supports only table creation using the SMS4 algorithm.</li><li id="mrs_01_0954__li175656277283">When you import data from a common Hive table into a Hive column encryption table, you are advised to delete the original data from the common Hive table as long as doing this does not affect other services. Retaining an unencrypted table poses security risks.</li></ul>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0954__sb27475c6a477408ca61f219629a7be9c"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0954__o57a3eacf21f34020b3792929bcc455b7"><li id="mrs_01_0954__le34eb426a66d48e4b8d0770a0db10822"><span>Specify the column to be encrypted and encryption algorithm when creating a table.</span><p><p class="litext" id="mrs_01_0954__a0691f095d2fe4d0d9760ffce65f460aa"><strong id="mrs_01_0954__a024cd5f73b3c42b3a628035942254f4d">create table<em id="mrs_01_0954__ad89d0d672d3445a9ac7f61666cf5ce4b">&lt;[db_name.]table_name&gt; (&lt;col_name1&gt; &lt;data_type&gt; ,&lt;col_name2&gt; &lt;data_type&gt;,&lt;col_name3&gt; &lt;data_type&gt;,&lt;col_name4&gt; &lt;data_type&gt;)</em> ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe' WITH SERDEPROPERTIES ('column.encode.columns'='<em id="mrs_01_0954__abda54dfbdfd0438b97ac7151f226bd8d">&lt;col_name2&gt;,&lt;col_name3&gt;</em>', 'column.encode.classname'='org.apache.hadoop.hive.serde2.AESRewriter')STORED AS TEXTFILE;</strong></p>
+<p class="litext" id="mrs_01_0954__a08280e54976249c0ab9be627dd472ce7">Alternatively, use the following statement:</p>
+<p class="litext" id="mrs_01_0954__a85e566aece4b4b8e9e51d6948d458cab"><strong id="mrs_01_0954__a01f6fb7bc2954ccf9e5f37b7c22a45f6">create table <em id="mrs_01_0954__a933759df4d67404fb239412bf6ae4a5f">&lt;[db_name.]table_name&gt; (&lt;col_name1&gt; &lt;data_type&gt; ,&lt;col_name2&gt; &lt;data_type&gt;,&lt;col_name3&gt; &lt;data_type&gt;,&lt;col_name4&gt; &lt;data_type&gt;)</em> ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe' WITH SERDEPROPERTIES ('column.encode.indices'='1,2', 'column.encode.classname'='org.apache.hadoop.hive.serde2.SMS4Rewriter') STORED AS TEXTFILE;</strong></p>
+<div class="note" id="mrs_01_0954__n399575a856244c7d96ae62141a9a316f"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0954__ul1081666314163"><li class="text" id="mrs_01_0954__li4755122014163">The numbers used to specify encryption columns start from 0. 0 indicates column 1, 1 indicates column 2, and so on.</li><li id="mrs_01_0954__li3252174914165">When creating a table with encrypted columns, ensure that the directory where the table resides is empty.</li></ul>
+</div></div>
+</p></li><li id="mrs_01_0954__l7f7899f70f834a9897131d85c98a14e4"><span>Insert data into the table using the insert statement.</span><p><p id="mrs_01_0954__af1529dbc0066407c8e31cafdb14e8f47">Assume that the test table exists and contains data.</p>
+<p id="mrs_01_0954__a3b35da6cd426499f9a9ddfd19b88b2a3"><strong id="mrs_01_0954__a3a306967d91b42f09927dbe9be3229d4">insert into table <em id="mrs_01_0954__aebaa7495dc334d2eb1cf5fdd3bd41f3b">&lt;table_name&gt;</em> select <em id="mrs_01_0954__a156aeac7ccfa4c899e8a9e4eb02f5c18">&lt;col_list&gt;</em> from test;</strong></p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0955.html b/docs/mrs/component-operation-guide/mrs_01_0955.html
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+<a name="mrs_01_0955"></a><a name="mrs_01_0955"></a>
+
+<h1 class="topictitle1">Customizing Row Separators</h1>
+<div id="body1590395281733"><div class="section" id="mrs_01_0955__s746a0f8da5ff48c997e22f773be172f5"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0955__a193e63516a7d44ee9c7de570bbd848a6">In most cases, a carriage return character is used as the row delimiter in Hive tables stored in text files, that is, the carriage return character is used as the terminator of a row during queries. However, some data files are delimited by special characters, and not a carriage return character.</p>
+<p id="mrs_01_0955__a7e5a1993ccdb4f66bc6c3afcbd3af4ce">MRS Hive allows you to use different characters or character combinations to delimit rows of Hive text data. When creating a table, set <strong id="mrs_01_0955__b162618206519">inputformat</strong> to <strong id="mrs_01_0955__b4854102485116">SpecifiedDelimiterInputFormat</strong>, and set the following parameter before search each time. Then the table data is queried by the specified delimiter.</p>
+<p id="mrs_01_0955__a85fd61e9f767473194a1498268b65a39"><strong id="mrs_01_0955__ac88c05cf35204bcd900104b14ef4f82a">set hive.textinput.record.delimiter='';</strong></p>
+<div class="note" id="mrs_01_0955__nac8824c9738b4d6e94c34374d8a3436b"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0955__ul1663795141010"><li id="mrs_01_0955__li156376513107">The Hue component of the current version does not support the configuration of multiple separators when files are imported to a Hive table.</li><li id="mrs_01_0955__li1863735171012">This section applies to MRS 3.<em id="mrs_01_0955__i18102346065225">x</em> or later.</li></ul>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0955__sd4107084360b4fe3950f42d8d59a8ca0"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0955__o3b33e4e409ae450fb63b42b6f3c2fcc6"><li id="mrs_01_0955__la30c598caceb4ce983485cdb72456641"><span>Specify <strong id="mrs_01_0955__b1930011252528">inputFormat</strong> and <strong id="mrs_01_0955__b365629105218">outputFormat</strong> when creating a table.</span><p><p class="litext" id="mrs_01_0955__a456fc6916bb54a0dbbc2952fc098d19f"><strong id="mrs_01_0955__b20268124610521">CREATE [TEMPORARY] [EXTERNAL] TABLE [IF NOT EXISTS] </strong><em id="mrs_01_0955__i1121894715212">[db_name.]table_name</em><strong id="mrs_01_0955__b102849108542"> [(</strong><em id="mrs_01_0955__i8391211175420">col_name data_type</em><strong id="mrs_01_0955__b4653101615413"> [COMMENT </strong><em id="mrs_01_0955__i631681785419">col_comment</em><strong id="mrs_01_0955__b536816552">], </strong><em id="mrs_01_0955__i710111913556">...</em><strong id="mrs_01_0955__b7388145514">)] [ROW FORMAT </strong><em id="mrs_01_0955__i11172172675413">row_format</em><strong id="mrs_01_0955__b5630125175413">] STORED AS inputformat 'org.apache.hadoop.hive.contrib.fileformat.SpecifiedDelimiterInputFormat' outputformat 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'</strong></p>
+</p></li><li id="mrs_01_0955__la60c03d0aea64f92a382e73a4f7ecdd8"><span>Specify the delimiter before search.</span><p><p id="mrs_01_0955__ae71c869995844bbda126341c5069d023"><strong id="mrs_01_0955__a8449c1ad62e741528a7936d0fd631c54">set hive.textinput.record.delimiter='!@!'</strong></p>
+<p id="mrs_01_0955__a20ac92d2ad1847919d2893cf9eefc143">Hive will use '!@!' as the row delimiter.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0956.html b/docs/mrs/component-operation-guide/mrs_01_0956.html
new file mode 100644
index 000000000..8fc76db78
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0956.html
@@ -0,0 +1,36 @@
+<a name="mrs_01_0956"></a><a name="mrs_01_0956"></a>
+
+<h1 class="topictitle1">Deleting Single-Row Records from Hive on HBase</h1>
+<div id="body1590395281779"><div class="section" id="mrs_01_0956__sb659260446c84d109098bc66541723b2"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0956__a6cc8c03a8b06454db91b4b9c967698c5">Due to the limitations of underlying storage systems, Hive does not support the ability to delete a single piece of table data. In Hive on HBase, MRS Hive supports the ability to delete a single piece of HBase table data. Using a specific syntax, Hive can delete one or more pieces of data from an HBase table.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0956__t443292c058664981980b4b040e9cd9ae" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Permissions required for deleting single-row records from the Hive on HBase table</caption><thead align="left"><tr id="mrs_01_0956__r9ecdd3f2387c43fca9ae7d6c3dc9660d"><th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.1.3.2.3.1.1"><p id="mrs_01_0956__ae559c5640ef744bbbac8f637d3ec359c">Cluster Authentication Mode</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.1.3.2.3.1.2"><p id="mrs_01_0956__a3e3e36eda6f242489163d0423ac72c10">Required Permission</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0956__r9e42df5ccd2c49a38876e1d8b293bb90"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.1.3.2.3.1.1 "><p id="mrs_01_0956__aafecc7aec34d4cf78a69ad8fefed29b5">Security mode</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.1.3.2.3.1.2 "><p id="mrs_01_0956__ad6b36bfa03c2441c96455f7e6771bb21">SELECT, INSERT, and DELETE</p>
+</td>
+</tr>
+<tr id="mrs_01_0956__r6facd75e62fd45ceb4836d6f9d8f0fb8"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.1.3.2.3.1.1 "><p id="mrs_01_0956__a3219f29811364d1fb908348e642fae44">Common mode</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.1.3.2.3.1.2 "><p id="mrs_01_0956__a13046dab91904f2184e1b3955abd2630">None</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_0956__s3f8ac7acf87d463489a8689aa182bbb1"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0956__o9dfbb59117c14b11ab9985287956dedb"><li id="mrs_01_0956__l5961e2b24131425b996861adb61a1f8e"><span>To delete some data from an HBase table, run the following HQL statement:</span><p><p id="mrs_01_0956__a93a7b0be9e8a41d788a2e9384a263b33"><strong id="mrs_01_0956__a145e68906a354beeaea05c759d1a1b2a">remove table <em id="mrs_01_0956__acd0b294f875e40a192a03bba9a848b37">&lt;table_name&gt;</em> where <em id="mrs_01_0956__a67cd1ffd6767415fb756e8ddf2c229ef">&lt;expression&gt;</em>;</strong></p>
+<p id="mrs_01_0956__a84bcb997f6e0460bbe5900d619260de9">In the preceding information, <em id="mrs_01_0956__i985916381495">&lt;expression&gt;</em> specifies the filter condition of the data to be deleted. <em id="mrs_01_0956__i129231949154913">&lt;table_name&gt;</em> indicates the Hive on HBase table from which data is to be deleted.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0957.html b/docs/mrs/component-operation-guide/mrs_01_0957.html
new file mode 100644
index 000000000..5d18bcd2f
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0957.html
@@ -0,0 +1,21 @@
+<a name="mrs_01_0957"></a><a name="mrs_01_0957"></a>
+
+<h1 class="topictitle1">Configuring HTTPS/HTTP-based REST APIs</h1>
+<div id="body1590395283027"><div class="section" id="mrs_01_0957__se0620a962b7e44959c86a0551b2ab2da"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0957__ac37bfd0edce648bb94b079668a096bba">WebHCat provides external REST APIs for Hive. By default, the open-source community version uses the HTTP protocol.</p>
+<p id="mrs_01_0957__a9046ca7680bd46c4a8085ede3020b725">MRS Hive supports the HTTPS protocol that is more secure, and enables switchover between the HTTP protocol and the HTTPS protocol.</p>
+<div class="note" id="mrs_01_0957__n1e93de1fc0144a449365477e6969d46c"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_0957__abb15eedd50204754bed847aca9d751f3">The security mode supports HTTPS and HTTP, and the common mode supports only HTTP.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0957__scd21d73bcc874c78bd58972052b25a70"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0957__ol181811550174911"><li id="mrs_01_0957__li13806122116487"><span>The Hive service configuration page is displayed.</span><p><ul id="mrs_01_0957__ul1692910323486"><li id="mrs_01_0957__li792916322486">For versions earlier than MRS 1.9.2, log in to MRS Manager, choose <strong id="mrs_01_0957__b1259473281410">Services</strong> &gt; <strong id="mrs_01_0957__b5541834171411">Hive</strong> &gt; <strong id="mrs_01_0957__b839183711419">Service Configuration</strong>, and select <strong id="mrs_01_0957__b20782144691416">All</strong> from the <strong id="mrs_01_0957__b5317133119185">Basic</strong> drop-down list.</li><li id="mrs_01_0957__li979413816488">For MRS 1.9.2 or later, click the cluster name on the MRS console, choose <strong id="mrs_01_0957__b72158441184">Components</strong> &gt; <strong id="mrs_01_0957__b1167514460182">Hive</strong> &gt; <strong id="mrs_01_0957__b823555213182">Service Configuration</strong>, and select <strong id="mrs_01_0957__b966455515189">All</strong> from the <strong id="mrs_01_0957__b7907115712181">Basic</strong> drop-down list.<div class="note" id="mrs_01_0957__note260718795420"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0957__p1228613134010">If the <strong id="mrs_01_0957__b635953725812">Components</strong> tab is unavailable, complete IAM user synchronization first. (On the <strong id="mrs_01_0957__b8365153716586">Dashboard</strong> page, click <strong id="mrs_01_0957__b193651937155811">Synchronize</strong> on the right side of <span class="parmname" id="mrs_01_0957__parmname73651537165811"><b>IAM User Sync</b></span> to synchronize IAM users.)</p>
+</div></div>
+</li><li id="mrs_01_0957__li19497205535311">For MRS 3.<em id="mrs_01_0957__i89865252028">x</em> or later, log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. And choose <strong id="mrs_01_0957__b28882341825">Cluster</strong> &gt; <em id="mrs_01_0957__i8889534723">Name of the desired cluster</em> &gt; <strong id="mrs_01_0957__b889011341225">Services</strong> &gt; <strong id="mrs_01_0957__b88916341823">Hive</strong> &gt; <strong id="mrs_01_0957__b889320348215">Configurations</strong> &gt; <strong id="mrs_01_0957__b689419345213">All Configurations</strong>.</li></ul>
+</p></li><li id="mrs_01_0957__li91093155563"><span>Modify the Hive configuration.</span><p><ul id="mrs_01_0957__ul116641756115612"><li id="mrs_01_0957__li1666412567569">For versions earlier than MRS 3.x: Enter the parameter name in the search box, search for <strong id="mrs_01_0957__b16781173519249">templeton.protocol.type</strong>, change the parameter value to <strong id="mrs_01_0957__b27819353244">HTTPS</strong> or <strong id="mrs_01_0957__b2783133562420">HTTP</strong>, and restart the Hive service to use the corresponding protocol.</li><li id="mrs_01_0957__li1260515547571">For MRS 3.<em id="mrs_01_0957__i17181141012253">x</em> or earlier: Choose <span class="menucascade" id="mrs_01_0957__menucascade134821134195816"><b><span class="uicontrol" id="mrs_01_0957__uicontrol1648203435818">WebHCat</span></b> &gt; <b><span class="uicontrol" id="mrs_01_0957__uicontrol5482834135812">Security</span></b></span>. On the page that is displayed, select <strong id="mrs_01_0957__b1638118210251">HTTPS</strong> or <strong id="mrs_01_0957__b203825215255">HTTP</strong>. After the modification, restart the Hive service to use the corresponding protocol.</li></ul>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0958.html b/docs/mrs/component-operation-guide/mrs_01_0958.html
new file mode 100644
index 000000000..69dc529f8
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0958.html
@@ -0,0 +1,23 @@
+<a name="mrs_01_0958"></a><a name="mrs_01_0958"></a>
+
+<h1 class="topictitle1">Enabling or Disabling the Transform Function</h1>
+<div id="body1590395283417"><div class="section" id="mrs_01_0958__sa292a3a3b6e849139e0a4c7638f55dac"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0958__a5c7cce68ff8e4227b784214096e0b015">The Transform function is not allowed by Hive of the open source version.</p>
+<p id="mrs_01_0958__a271398b7e1db44e5b36cf96213d26c18">MRS Hive supports the configuration of the Transform function. The function is disabled by default, which is the same as that of the open-source community version.</p>
+<p id="mrs_01_0958__a9013e4f486a942148e9ebd9594571d62">Users can modify configurations of the Transform function to enable the function. However, security risks exist when the Transform function is enabled.</p>
+<div class="note" id="mrs_01_0958__ndc6a99bc764d42d780c044c52398114f"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_0958__a2498497640e1495ea068b2423e0f0451">The Transform function can be disabled only in security mode.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0958__sed290de92c12489cad5272d0d53b381e"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0958__ol181811550174911"><li id="mrs_01_0958__li13806122116487"><span>The Hive service configuration page is displayed.</span><p><ul id="mrs_01_0958__ul1692910323486"><li id="mrs_01_0958__li792916322486">For versions earlier than MRS 1.9.2, log in to MRS Manager, choose <strong id="mrs_01_0958__b16393421310">Services</strong> &gt; <strong id="mrs_01_0958__b176391421134">Hive</strong> &gt; <strong id="mrs_01_0958__b1364024218312">Service Configuration</strong>, and select <strong id="mrs_01_0958__b46401542834">All</strong> from the <strong id="mrs_01_0958__b13640542631">Basic</strong> drop-down list.</li><li id="mrs_01_0958__li979413816488">For MRS 1.9.2 or later, click the cluster name on the MRS console, choose <strong id="mrs_01_0958__b6400155315315">Components</strong> &gt; <strong id="mrs_01_0958__b204009531038">Hive</strong> &gt; <strong id="mrs_01_0958__b2040118531234">Service Configuration</strong>, and select <strong id="mrs_01_0958__b174012531031">All</strong> from the <strong id="mrs_01_0958__b114010539320">Basic</strong> drop-down list.<div class="note" id="mrs_01_0958__note260718795420"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0958__p158007468574">If the <strong id="mrs_01_0958__b243274545818">Components</strong> tab is unavailable, complete IAM user synchronization first. (On the <strong id="mrs_01_0958__b943320456583">Dashboard</strong> page, click <strong id="mrs_01_0958__b134337458588">Synchronize</strong> on the right side of <span class="parmname" id="mrs_01_0958__parmname443314518583"><b>IAM User Sync</b></span> to synchronize IAM users.)</p>
+</div></div>
+</li><li id="mrs_01_0958__li12437648145315">For MRS 3.<em id="mrs_01_0958__i19456261038">x</em> or later, log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. And choose <strong id="mrs_01_0958__b691410297318">Cluster</strong> &gt; <em id="mrs_01_0958__i1492213291317">Name of the desired cluster</em> &gt; <strong id="mrs_01_0958__b9923152914310">Services</strong> &gt; <strong id="mrs_01_0958__b139253292035">Hive</strong> &gt; <strong id="mrs_01_0958__b10926142915310">Configurations</strong> &gt; <strong id="mrs_01_0958__b119271229531">All Configurations</strong>.</li></ul>
+</p></li><li id="mrs_01_0958__li21974207215"><span>Enter the parameter name in the search box, search for <strong id="mrs_01_0958__b13504628103217">hive.security.transform.disallow</strong>, change the parameter value to <strong id="mrs_01_0958__b1350911281324">true</strong> or <strong id="mrs_01_0958__b450912803217">false</strong>, and restart all HiveServer instances.</span><p><div class="note" id="mrs_01_0958__note11972020329"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0958__ul3197820527"><li id="mrs_01_0958__li11971202216">If this parameter is set to <strong id="mrs_01_0958__b178451143184318">true</strong>, the Transform function is disabled, which is the same as that in the open-source community version.</li><li id="mrs_01_0958__li1219717201227">If this parameter is set to <strong id="mrs_01_0958__b17456145464318">false</strong>, the Transform function is enabled, which poses security risks.</li></ul>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0959.html b/docs/mrs/component-operation-guide/mrs_01_0959.html
new file mode 100644
index 000000000..ed3e71ef5
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0959.html
@@ -0,0 +1,25 @@
+<a name="mrs_01_0959"></a><a name="mrs_01_0959"></a>
+
+<h1 class="topictitle1">Access Control of a Dynamic Table View on Hive</h1>
+<div id="body1590395283418"><div class="section" id="mrs_01_0959__section1540911491102"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0959__p551217491603">This section describes how to create a view on Hive when <span id="mrs_01_0959__text178923311185">MRS</span> is configured in security mode, authorize access permissions to different users, and specify that different users access different data.</p>
+<p id="mrs_01_0959__p1451217491902">In the view, Hive can obtain the built-in function <strong id="mrs_01_0959__b1587513431793">current_user()</strong> of the users who submit tasks on the client and filter the users. This way, authorized users can only access specific data in the view.</p>
+<div class="note" id="mrs_01_0959__note441264910018"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0959__p12512204919011">In normal mode, the<strong id="mrs_01_0959__b1531035215913"> current_user()</strong> function cannot distinguish users who submit tasks on the client. Therefore, the access control function takes effect only for Hive in security mode.</p>
+<p id="mrs_01_0959__p151254910015">If the <strong id="mrs_01_0959__b10580115918920">current_user()</strong> function is used in the actual service logic, the possible risks must be fully evaluated during the conversion between the security mode and normal mode.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0959__section194178491307"><h4 class="sectiontitle">Operation Example</h4><ul id="mrs_01_0959__ul145124497017"><li id="mrs_01_0959__li1513144917010">If the current_user function is not used, different views need to be created for different users to access different data.<ul id="mrs_01_0959__ul8513164910015"><li id="mrs_01_0959__li351319495012">Authorize the view <strong id="mrs_01_0959__b1051314493019">v1</strong> permission to user <strong id="mrs_01_0959__b1051394910015">hiveuser1</strong>. The user <strong id="mrs_01_0959__b1513194912012">hiveuser1</strong> can access data with <strong id="mrs_01_0959__b19513149401">type</strong> set to <strong id="mrs_01_0959__b85131498019">hiveuser1</strong> in <strong id="mrs_01_0959__b16513749301">table1</strong>.<p id="mrs_01_0959__p87581125111012"><strong id="mrs_01_0959__b456271391118">create view v1 as select * from table1 where type='hiveuser1'</strong></p>
+</li></ul>
+<ul id="mrs_01_0959__ul185131649609"><li id="mrs_01_0959__li85135493014">Authorize the view <strong id="mrs_01_0959__b851317491018">v2</strong> permission to user <strong id="mrs_01_0959__b16513149108">hiveuser2</strong>. The user <strong id="mrs_01_0959__b0513144911012">hiveuser2</strong> can access data with <strong id="mrs_01_0959__b105135493016">type</strong> set to <strong id="mrs_01_0959__b1251317492016">hiveuser2</strong> in <strong id="mrs_01_0959__b1551317497017">table1</strong>.<p id="mrs_01_0959__p5381102951017"><strong id="mrs_01_0959__b272717181217">create view v2 as select * from table1 where type='hiveuser2'</strong></p>
+</li></ul>
+</li></ul>
+<ul id="mrs_01_0959__ul1651344919011"><li id="mrs_01_0959__li175131849802">If the current_user function is used, only one view needs to be created.<p id="mrs_01_0959__p11965112031217"><a name="mrs_01_0959__li175131849802"></a><a name="li175131849802"></a>Authorize the view <strong id="mrs_01_0959__b14513204916016">v </strong>permission to users <strong id="mrs_01_0959__b1851364912018">hiveuser1</strong> and <strong id="mrs_01_0959__b05133491905">hiveuser2</strong>. When user <strong id="mrs_01_0959__b5513164916017">hiveuser1</strong> queries view <strong id="mrs_01_0959__b151319491019">v</strong>, the current_user() function is automatically converted to <strong id="mrs_01_0959__b16513649708">hiveuser1</strong>. When user <strong id="mrs_01_0959__b145138491901">hiveuser2</strong> queries view <strong id="mrs_01_0959__b651314911020">v</strong>, the <strong id="mrs_01_0959__b051364919017">current_user()</strong> function is automatically converted to <strong id="mrs_01_0959__b55131491201">hiveuser2</strong>.</p>
+<p id="mrs_01_0959__p11541203441015"><strong id="mrs_01_0959__b12965032181217">create view v as select * from table1 where type=current_user()</strong></p>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0960.html b/docs/mrs/component-operation-guide/mrs_01_0960.html
new file mode 100644
index 000000000..451dff0d4
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0960.html
@@ -0,0 +1,23 @@
+<a name="mrs_01_0960"></a><a name="mrs_01_0960"></a>
+
+<h1 class="topictitle1">Specifying Whether the <strong id="b122071918315">ADMIN</strong> Permissions Is Required for Creating Temporary Functions</h1>
+<div id="body1590395283790"><div class="section" id="mrs_01_0960__sec1c6e66e7c049d6aea7dbd1c0bd12ee"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0960__a73d36471fbf140bda4919bb1e27ad394">You must have <strong id="mrs_01_0960__b1347414251315">ADMIN</strong> permission when creating temporary functions on Hive of the open source community version.</p>
+<p id="mrs_01_0960__abd0a234de22b48c1b66400a244ca32fe">MRS Hive supports the configuration of the function for creating temporary functions with <strong id="mrs_01_0960__b7833182810311">ADMIN</strong> permission. The function is disabled by default, which is the same as that of the open-source community version.</p>
+<p id="mrs_01_0960__a3018e01eb5c54f7588a96ee651c5e9dd">You can modify configurations of this function. After the function is enabled, you can create temporary functions without <strong id="mrs_01_0960__b29133293116">ADMIN</strong> permission. If this parameter is set to <strong id="mrs_01_0960__b1658919336327">false</strong>, security risks exist.</p>
+<div class="note" id="mrs_01_0960__n72d169975b5e48c2b9dfbe6b3280bb1a"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_0960__a82df98607abc463c8677ff20dadac075">The security mode supports the configuration of whether the ADMIN permission is required for creating temporary functions, but the common mode does not support this function.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0960__sd796435b2c254ca7aaa370451e468a24"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0960__ol181811550174911"><li id="mrs_01_0960__li13806122116487"><span>The Hive service configuration page is displayed.</span><p><ul id="mrs_01_0960__ul1692910323486"><li id="mrs_01_0960__li792916322486">For versions earlier than MRS 1.9.2, log in to MRS Manager, choose <strong id="mrs_01_0960__b146778201943">Services</strong> &gt; <strong id="mrs_01_0960__b2067810202416">Hive</strong> &gt; <strong id="mrs_01_0960__b367882019419">Service Configuration</strong>, and select <strong id="mrs_01_0960__b467815201245">All</strong> from the <strong id="mrs_01_0960__b176794201843">Basic</strong> drop-down list.</li><li id="mrs_01_0960__li979413816488">For MRS 1.9.2 or later, click the cluster name on the MRS console, choose <strong id="mrs_01_0960__b9731622943">Components</strong> &gt; <strong id="mrs_01_0960__b9731152220417">Hive</strong> &gt; <strong id="mrs_01_0960__b167320221846">Service Configuration</strong>, and select <strong id="mrs_01_0960__b673213224411">All</strong> from the <strong id="mrs_01_0960__b173372214419">Basic</strong> drop-down list.<div class="note" id="mrs_01_0960__note73070488542"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0960__p20645162034017">If the <strong id="mrs_01_0960__b10720155515812">Components</strong> tab is unavailable, complete IAM user synchronization first. (On the <strong id="mrs_01_0960__b1472013553581">Dashboard</strong> page, click <strong id="mrs_01_0960__b772115565818">Synchronize</strong> on the right side of <span class="parmname" id="mrs_01_0960__parmname1721185515817"><b>IAM User Sync</b></span> to synchronize IAM users.)</p>
+</div></div>
+</li><li id="mrs_01_0960__li1497215532557">For MRS 3.<em id="mrs_01_0960__i1641013271148">x</em> or later, log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. And choose <strong id="mrs_01_0960__b1089942910413">Cluster</strong> &gt; <em id="mrs_01_0960__i18899172917416">Name of the desired cluster</em> &gt; <strong id="mrs_01_0960__b99002029843">Services</strong> &gt; <strong id="mrs_01_0960__b1090010290412">Hive</strong> &gt; <strong id="mrs_01_0960__b7901132910418">Configurations</strong> &gt; <strong id="mrs_01_0960__b690192917410">All Configurations</strong>.</li></ul>
+</p></li><li id="mrs_01_0960__li051003218413"><span>Enter the parameter name in the search box, search for <strong id="mrs_01_0960__b119651230203711">hive.security.temporary.function.need.admin</strong>, change the parameter value to <strong id="mrs_01_0960__b109721130183710">true</strong> or <strong id="mrs_01_0960__b17975123020373">false</strong>, and restart all HiveServer instances.</span><p><div class="note" id="mrs_01_0960__note451019321446"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0960__ul551123211414"><li id="mrs_01_0960__li185114328415">If this parameter is set to <strong id="mrs_01_0960__b810678163414">true</strong>, the ADMIN permission is required for creating temporary functions, which is the same as that in the open source community.</li><li id="mrs_01_0960__li1351114324417">If this parameter is set to <strong id="mrs_01_0960__b9244163313417">false</strong>, the ADMIN permission is not required for creating temporary functions.</li></ul>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0961.html b/docs/mrs/component-operation-guide/mrs_01_0961.html
new file mode 100644
index 000000000..e2f88c0d8
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0961.html
@@ -0,0 +1,56 @@
+<a name="mrs_01_0961"></a><a name="mrs_01_0961"></a>
+
+<h1 class="topictitle1">Using Hive to Read Data in a Relational Database</h1>
+<div id="body1590395283792"><div class="section" id="mrs_01_0961__s15376514ec274083a3330c6fe0a2cd50"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0961__aa84249dad734482b801d5a8a7fb31a60">Hive allows users to create external tables to associate with other relational databases. External tables read data from associated relational databases and support Join operations with other tables in Hive.</p>
+<div class="p" id="mrs_01_0961__a065ac46b2fac45d08e6f31fb58be9c19">Currently, the following relational databases can use Hive to read data:<ul id="mrs_01_0961__u54bb0b513ce34e3fbd61b6014e63ba0f"><li id="mrs_01_0961__l5a1d8a6084d844b4a26d35f1388f4e48">DB2</li><li id="mrs_01_0961__l5f670b8d98e3443a8fd07d3896d2a88e">Oracle</li></ul>
+<div class="note" id="mrs_01_0961__note835285022717"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0961__p12363135052715">This section applies to MRS 3.<em id="mrs_01_0961__i3369193620582">x</em> or later clusters.</p>
+</div></div>
+</div>
+</div>
+<div class="section" id="mrs_01_0961__s61a69bc86614401ba9baec328ef0bfad"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_0961__af505fa83304d469e804c221b79452faf">The Hive client has been installed.</p>
+</div>
+<div class="section" id="mrs_01_0961__s0fcad6112a844cc3bc2816f7e2af5ec3"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0961__o4cd7a9d555884c499c78107c13d7fc55"><li id="mrs_01_0961__li795618393387"><span>Log in to the node where the Hive client is installed as the Hive client installation user .</span></li><li id="mrs_01_0961__l4175d420fd7945bda95bcb396d089f03"><span>Run the following command to go to the client installation directory:</span><p><p id="mrs_01_0961__a50b43b3cfd774498b4a110c7bd98b7a9"><strong id="mrs_01_0961__b12695352513">cd </strong><em id="mrs_01_0961__i1832553132511">Client installation directory</em></p>
+<p id="mrs_01_0961__a7c9e5857e32b4e36972568454525e0cf">For example, if the client installation directory is <strong id="mrs_01_0961__b1250318451746">/opt</strong><strong id="mrs_01_0961__b650317455411"></strong><strong id="mrs_01_0961__b13503204512412">/client</strong>, run the following command:</p>
+<p id="mrs_01_0961__ada23c984bea548ee94fa405676074150"><strong id="mrs_01_0961__a7b39cd1a697f4f7696f866a3c50143dc">cd /opt/client</strong></p>
+</p></li><li id="mrs_01_0961__l48d0f7d873cf4d5e944ef1463ba124e8"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_0961__a19e2f356a910457c82494c8780f533b5"><strong id="mrs_01_0961__aa8f1392c848f461a924c4097852609de">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_0961__lee840f4d696c4bbea71444ec60cff4e8"><span>Check whether the cluster authentication mode is Security.</span><p><ul id="mrs_01_0961__ufe677221a3ac490492680756275ebc89"><li id="mrs_01_0961__l24ba98b8ca2b4fdcb2763529ccd9c350">If yes, run the following command to authenticate the user:<p id="mrs_01_0961__acf97ef8eab8c4d739336fc0f82c0c6e9"><a name="mrs_01_0961__l24ba98b8ca2b4fdcb2763529ccd9c350"></a><a name="l24ba98b8ca2b4fdcb2763529ccd9c350"></a><strong id="mrs_01_0961__b3950165782616">kinit</strong> <em id="mrs_01_0961__i11955175772619">Hive service user</em> </p>
+</li><li id="mrs_01_0961__l612296ab7b964236874aaac640a32bb3">If no, go to <a href="#mrs_01_0961__lad1ae23de6bb407cb136beb10cc94ad2">5</a>.</li></ul>
+</p></li><li id="mrs_01_0961__lad1ae23de6bb407cb136beb10cc94ad2"><a name="mrs_01_0961__lad1ae23de6bb407cb136beb10cc94ad2"></a><a name="lad1ae23de6bb407cb136beb10cc94ad2"></a><span>Run the following command to upload the driver JAR package of the relational database to be associated to an HDFS directory.</span><p><p id="mrs_01_0961__a6a76b678c7e64f0d8002aca187162c6f"><strong id="mrs_01_0961__a486376c61b904a3d970676f6832c0915">hdfs dfs -put </strong><i><span class="varname" id="mrs_01_0961__v168766128e0b471fb19f4a220859acde">directory where the JAR package is located</span></i> <i><span class="varname" id="mrs_01_0961__v4b32aecef9f2480a841ee4329851f8bf">HDFS directory to which the JAR is uploaded</span></i></p>
+<p id="mrs_01_0961__acf06717eed6e4d179f3aa2277e399ba4">For example, to upload the Oracle driver JAR package in <span class="filepath" id="mrs_01_0961__f0315083761224f4bb3a4b8790f69736e"><b>/opt</b></span> to the <span class="filepath" id="mrs_01_0961__fe218425d1c8b4c5f892d25cc60090bd5"><b>/tmp</b></span> directory in HDFS, run the following command:</p>
+<p class="litext" id="mrs_01_0961__a2f715cd7560f411abee63a721e3ca954"><strong id="mrs_01_0961__ac7415f18ec184046ad9a4154593df3ee">hdfs dfs -put /opt/ojdbc6.jar /tmp</strong></p>
+</p></li><li id="mrs_01_0961__lc46432fcae354e5d842697ddbbf7f4ca"><span>Create an external table on the Hive client to associate with the relational database, as shown in the following example.</span><p><div class="note" id="mrs_01_0961__na8342ef9c6394c70837bbc3895170dd3"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><div class="p" id="mrs_01_0961__a7e26f87a193d4470b13eeab836003e79">If the security mode is used, the user who creates the table must have the <strong id="mrs_01_0961__b975351519295">ADMIN</strong> permission. The <strong id="mrs_01_0961__b17781322152911">ADD JAR</strong> path is subject to the actual path.<pre class="screen" id="mrs_01_0961__sd9564e4bf96f45d5b6e5ac48304dab1a">-- Example of associating with an Oracle Linux 6 database
+-- In security mode, set the <strong id="mrs_01_0961__b084510093011">admin</strong> permission.
+set role admin;
+-- Upload the driver JAR package of the relational database to be associated. The driver JAR packages vary according to databases.
+ADD JAR hdfs:///tmp/ojdbc6.jar;
+
+CREATE EXTERNAL TABLE ora_test
+-- The Hive table must have one more column than the database return result. This column is used for paging query.
+(id STRING,rownum string)
+STORED BY 'com.qubitproducts.hive.storage.jdbc.JdbcStorageHandler'
+TBLPROPERTIES (
+-- Relational database table type
+"qubit.sql.database.type" = "ORACLE",
+-- Connect to the URL of the relational database through JDBC. (The URL formats vary according to databases.)
+"qubit.sql.jdbc.url" = "jdbc:oracle:thin:@//10.163.0.1:1521/mydb",
+-- Relational database driver class type
+"qubit.sql.jdbc.driver" = "oracle.jdbc.OracleDriver",
+-- SQL statement queried in the relational database. The result is returned to the Hive table.
+"qubit.sql.query" = "select name from aaa",
+-- (Optional) Match the Hive table columns to the relational database table columns.
+"qubit.sql.column.mapping" = "id=name",
+-- Relational database user
+"qubit.sql.dbcp.username" = "test",
+-- Relational database password
+"qubit.sql.dbcp.password" = "<em id="mrs_01_0961__i92773504156">xxx</em>");</pre>
+</div>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0962.html b/docs/mrs/component-operation-guide/mrs_01_0962.html
new file mode 100644
index 000000000..7ef015d26
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0962.html
@@ -0,0 +1,75 @@
+<a name="mrs_01_0962"></a><a name="mrs_01_0962"></a>
+
+<h1 class="topictitle1">Supporting Traditional Relational Database Syntax in Hive</h1>
+<div id="body1590395283794"><div class="section" id="mrs_01_0962__sb7cb687b20704f7ba8d29f22ca173e8c"><h4 class="sectiontitle">Overview</h4><p id="mrs_01_0962__ae25dbf9b555d474bbe1f3d48361d61e6">Hive supports the following types of traditional relational database syntax:</p>
+<ul id="mrs_01_0962__u42f6b64c3fa2415e8a66ffcb045e4bb0"><li id="mrs_01_0962__l6fd34038756a4e128e4deb831756dfc2">Grouping</li><li id="mrs_01_0962__laf66bfc71bdb42238eb039e1c9090ee6">EXCEPT and INTERSECT</li></ul>
+</div>
+<div class="section" id="mrs_01_0962__sdc0e4ea067274eccbdf64ac9dcb45fc9"><h4 class="sectiontitle">Grouping</h4><p id="mrs_01_0962__a9c2d6cff25c0446b85c5675208d1a173">Syntax description:</p>
+<ul id="mrs_01_0962__uc8c4cd4a286149a1aec4db8e7c774e33"><li id="mrs_01_0962__l7007df9abc6243bda8e3a163829f99a8">Grouping takes effect only when the Group by statement contains ROLLUP or CUBE.</li><li id="mrs_01_0962__l6fc8aec385cc4080960531cc67c631e7">The result set generated by CUBE contains all the combinations of values in the selected columns.</li><li id="mrs_01_0962__l077001b2740344b68973ad7be61d5ef6">The result set generated by ROLLUP contains the combinations of a certain layer structure in the selected columns.</li><li id="mrs_01_0962__l984d6625c3bf4c34bb33750e8e0d326d">Grouping: If a row is added by using the CUBE or ROLLUP operator, the output value of the added row is 1. If the row is not added by using the CUBE or ROLLUP operator, the output value of the added row is 0.</li></ul>
+<p id="mrs_01_0962__af9ca107311d4449c91c2fbf0e25f3e7c">For example, the <strong id="mrs_01_0962__a93e4767fc92d4e12af2896525044d974">table_test</strong> table exists in Hive and the table structure is as follows:</p>
+<pre class="screen" id="mrs_01_0962__sadfe219cd2e44ae9b41637f7395329a9">+----------------+-------------------+--+
+| table_test.id  | table_test.value  |
++----------------+-------------------+--+
+| 1              | 10                |
+| 1              | 15                |
+| 2              | 20                |
+| 2              | 5                 |
+| 2              | 13                |
++----------------+-------------------+--+</pre>
+<p id="mrs_01_0962__a18d41ff7bb5a4662ac7cc506bb34a816">Run the following statement:</p>
+<p id="mrs_01_0962__a565a340e3e7c4cba87d7f6aced1f4f7d"><strong id="mrs_01_0962__a2cd940ead9e74f29b52fd31c9601469d">select id,grouping(id),sum(value) from table_test group by id with rollup;</strong></p>
+<p id="mrs_01_0962__ad40057bd9c9d450c905f0f2ace374c30">The result is as follows:</p>
+<pre class="screen" id="mrs_01_0962__s00851b6cfd6f43979cf94c2155f8bf59">+-------+-----------------+------+--+
+|  id   | groupingresult  | sum  |
++-------+-----------------+------+--+
+| 1     | 0               | 25   |
+| NULL  | 1               | 63   |
+| 2     | 0               | 38   |
++-------+-----------------+------+--+</pre>
+</div>
+<div class="section" id="mrs_01_0962__sec5b37310efc4d2091b2405044189282"><h4 class="sectiontitle">EXCEPT and INTERSECT</h4><p id="mrs_01_0962__a038a1c45ec714551bbbefe53f44d3113">Syntax description:</p>
+<ul id="mrs_01_0962__uaab1b06dbf404e5092d6e9a66c799d3d"><li id="mrs_01_0962__l08c573fce13843cdb39fd6a40c8c4121">EXCEPT returns the difference of two result sets (that is, non-duplicated values return only one query).</li><li id="mrs_01_0962__l4dee0d95c5c549ac841feba6167c6721">INTERSECT returns the intersection of two result sets (that is, non-duplicated values return by both queries).</li></ul>
+<p id="mrs_01_0962__a3ae8c66a30ac4f96ad1d6edf073d468d">For example, two tables <strong id="mrs_01_0962__aaa5c94ad242440098eb8d8e9fe5f1ce2">test_table1</strong> and <strong id="mrs_01_0962__aa66c1545474049b494e512da7a008b62">test_table2</strong> exist in Hive.</p>
+<p id="mrs_01_0962__a6580ab0e37434f3d9fa126c9934f2748">The table structure of <strong id="mrs_01_0962__a7a0f39591f644a58b37fbbfb9966f3e2">test_table1</strong> is as follows:</p>
+<pre class="screen" id="mrs_01_0962__s90d71c2abec9484cb10eeca21e7f6e79">+-----------------+--+
+| test_table1.id  |
++-----------------+--+
+| 1               |
+| 2               |
+| 3               |
+| 4               |
++-----------------+--+</pre>
+<p id="mrs_01_0962__afd33350d7c1a457692528009bce226ff">The table structure of <strong id="mrs_01_0962__abc1cbd1d58c94852bcaf92f4d657f8b8">test_table2</strong> is as follows:</p>
+<pre class="screen" id="mrs_01_0962__s4a767ccb29fc41e697c99772839caa57">+-----------------+--+
+| test_table2.id  |
++-----------------+--+
+| 2               |
+| 3               |
+| 4               |
+| 5               |
++-----------------+--+</pre>
+<ul id="mrs_01_0962__uc394d4e9f0f04b46af09be25a37ed4bc"><li id="mrs_01_0962__l207322bdf09e46418a0810d187cdae14">Run the following EXCEPT statement:<p id="mrs_01_0962__aae77d9b08b6f472ca350653eaf8ae14c"><a name="mrs_01_0962__l207322bdf09e46418a0810d187cdae14"></a><a name="l207322bdf09e46418a0810d187cdae14"></a><strong id="mrs_01_0962__a9e70ff9ec1a24f3ca4a624111fb7a1cd">select id from test_table1 except select id from test_table2;</strong></p>
+<p id="mrs_01_0962__afcfd22cb99bc46508be4f88d6e644289">The result is as follows:</p>
+<pre class="screen" id="mrs_01_0962__sa9fdd834329b48e996540219d6845067">+--------------+--+
+| _alias_0.id  |
++--------------+--+
+| 1            |
++--------------+--+</pre>
+</li><li id="mrs_01_0962__l25c1b07293c24a558f6a2ee64e3dc541">Run the following INTERSECT statement:<p id="mrs_01_0962__a8bb76dad4a65434aaa04439d660e6a2a"><a name="mrs_01_0962__l25c1b07293c24a558f6a2ee64e3dc541"></a><a name="l25c1b07293c24a558f6a2ee64e3dc541"></a><strong id="mrs_01_0962__a0657a4a567a644d78a7651afc2359e11">select id from test_table1 intersect select id from test_table2;</strong></p>
+<p id="mrs_01_0962__ae96bb3f51e9f43338b3befc41297ed67">The result is as follows:</p>
+<pre class="screen" id="mrs_01_0962__s5a2e70fd9e0f496bb4315eaa76177156">+--------------+--+
+| _alias_0.id  |
++--------------+--+
+| 2            |
+| 3            |
+| 4            |
++--------------+--+</pre>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0966.html b/docs/mrs/component-operation-guide/mrs_01_0966.html
new file mode 100644
index 000000000..3903dcae2
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0966.html
@@ -0,0 +1,19 @@
+<a name="mrs_01_0966"></a><a name="mrs_01_0966"></a>
+
+<h1 class="topictitle1">Viewing Table Structures Using the show create Statement as Users with the select Permission</h1>
+<div id="body1590395285086"><div class="section" id="mrs_01_0966__section1315817140356"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0966__p1960173420419">This function is applicable to Hive and Spark2x in MRS 3.x and later.</p>
+<p id="mrs_01_0966__p11230141411353">With this function enabled, if the select permission is granted to a user during Hive table creation, the user can run the <strong id="mrs_01_0966__b030211732019">show create table</strong> command to view the table structure.</p>
+</div>
+<div class="section" id="mrs_01_0966__section181627141354"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0966__ol181811550174911"><li id="mrs_01_0966__li13806122116487"><span>The Hive service configuration page is displayed.</span><p><ul id="mrs_01_0966__ul1692910323486"><li id="mrs_01_0966__li792916322486">For versions earlier than MRS 1.9.2, log in to MRS Manager, choose <strong id="mrs_01_0966__b1244212401148">Services</strong> &gt; <strong id="mrs_01_0966__b10442340248">Hive</strong> &gt; <strong id="mrs_01_0966__b5443134011413">Service Configuration</strong>, and select <strong id="mrs_01_0966__b24432401247">All</strong> from the <strong id="mrs_01_0966__b844417401414">Basic</strong> drop-down list.</li><li id="mrs_01_0966__li979413816488">For MRS 1.9.2 or later, click the cluster name on the MRS console, choose <strong id="mrs_01_0966__b921684214419">Components</strong> &gt; <strong id="mrs_01_0966__b521618421241">Hive</strong> &gt; <strong id="mrs_01_0966__b62171242746">Service Configuration</strong>, and select <strong id="mrs_01_0966__b42184421344">All</strong> from the <strong id="mrs_01_0966__b152181042647">Basic</strong> drop-down list.<div class="note" id="mrs_01_0966__note73070488542"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0966__p1891103016406">If the <strong id="mrs_01_0966__b095912295915">Components</strong> tab is unavailable, complete IAM user synchronization first. (On the <strong id="mrs_01_0966__b7959629599">Dashboard</strong> page, click <strong id="mrs_01_0966__b4959182155919">Synchronize</strong> on the right side of <span class="parmname" id="mrs_01_0966__parmname1395982125919"><b>IAM User Sync</b></span> to synchronize IAM users.)</p>
+</div></div>
+</li><li id="mrs_01_0966__li1675864017574">For MRS 3.<em id="mrs_01_0966__i938715441412">x</em> or later, log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. And choose <strong id="mrs_01_0966__b133805465412">Cluster</strong> &gt; <em id="mrs_01_0966__i3380174611417">Name of the desired cluster</em> &gt; <strong id="mrs_01_0966__b1938017461742">Services</strong> &gt; <strong id="mrs_01_0966__b6381124618416">Hive</strong> &gt; <strong id="mrs_01_0966__b1838112461748">Configurations</strong> &gt; <strong id="mrs_01_0966__b1538219461849">All Configurations</strong>.</li></ul>
+</p></li><li id="mrs_01_0966__li051003218413"><span>Choose <strong id="mrs_01_0966__b10968125194019">HiveServer(Role)</strong> &gt; <strong id="mrs_01_0966__b89731151134017">Customization</strong>, add a customized parameter to the <strong id="mrs_01_0966__b1797414518403">hive-site.xml</strong> parameter file, set <strong id="mrs_01_0966__b1697410519405">Name</strong> to <strong id="mrs_01_0966__b3975105144016">hive.allow.show.create.table.in.select.nogrant</strong>, and set <strong id="mrs_01_0966__b2097575114404">Value</strong> to <strong id="mrs_01_0966__b1097611510409">true</strong>. Restart all Hive instances after the modification.</span></li><li id="mrs_01_0966__li39661191595"><span>Determine whether to enable this function on the Spark/Spark2x client.</span><p><ul id="mrs_01_0966__ul5967798914"><li id="mrs_01_0966__li129671997912">If yes, download and install the Spark/Spark2x client again.</li><li id="mrs_01_0966__li596799993">If no, no further action is required.</li></ul>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0967.html b/docs/mrs/component-operation-guide/mrs_01_0967.html
new file mode 100644
index 000000000..c3dbfb31d
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0967.html
@@ -0,0 +1,17 @@
+<a name="mrs_01_0967"></a><a name="mrs_01_0967"></a>
+
+<h1 class="topictitle1">Writing a Directory into Hive with the Old Data Removed to the Recycle Bin</h1>
+<div id="body1590395285087"><div class="section" id="mrs_01_0967__section115171931164213"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0967__p1161761917420">This function applies to Hive.</p>
+<p id="mrs_01_0967__p26171819447">After this function is enabled, run the following command to write a directory into Hive: <strong id="mrs_01_0967__b4747817111311">insert overwrite directory "</strong><em id="mrs_01_0967__i2499103161313">/</em><em id="mrs_01_0967__i17972691313">path1</em><strong id="mrs_01_0967__b167483176139">"</strong><strong id="mrs_01_0967__b1985314735910"> ...</strong>. After the operation is successfully performed, the old data is removed to the recycle bin, and the directory cannot be an existing database path in the Hive metastore.</p>
+<ol id="mrs_01_0967__ol181811550174911"><li id="mrs_01_0967__li1658372875814"><span>The Hive service configuration page is displayed.</span><p><ul id="mrs_01_0967__ul175831228125814"><li id="mrs_01_0967__li1458392810583">For versions earlier than MRS 1.9.2, log in to MRS Manager, choose <strong id="mrs_01_0967__b7942571440">Services</strong> &gt; <strong id="mrs_01_0967__b119418572419">Hive</strong> &gt; <strong id="mrs_01_0967__b1951757549">Service Configuration</strong>, and select <strong id="mrs_01_0967__b11953571046">All</strong> from the <strong id="mrs_01_0967__b17961757542">Basic</strong> drop-down list.</li><li id="mrs_01_0967__li25841828135815">For MRS 1.9.2 or later, click the cluster name on the MRS console, choose <strong id="mrs_01_0967__b209013584417">Components</strong> &gt; <strong id="mrs_01_0967__b119024588415">Hive</strong> &gt; <strong id="mrs_01_0967__b69021458243">Service Configuration</strong>, and select <strong id="mrs_01_0967__b2903958347">All</strong> from the <strong id="mrs_01_0967__b390320583411">Basic</strong> drop-down list.<div class="note" id="mrs_01_0967__note73070488542"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0967__p18867134116400">If the <strong id="mrs_01_0967__b14415171010593">Components</strong> tab is unavailable, complete IAM user synchronization first. (On the <strong id="mrs_01_0967__b1541520108590">Dashboard</strong> page, click <strong id="mrs_01_0967__b194161210205917">Synchronize</strong> on the right side of <span class="parmname" id="mrs_01_0967__parmname16416910115910"><b>IAM User Sync</b></span> to synchronize IAM users.)</p>
+</div></div>
+</li><li id="mrs_01_0967__li1675864017574">For MRS 3.<em id="mrs_01_0967__i18788101554">x</em> or later, log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. And choose <strong id="mrs_01_0967__b126298119519">Cluster</strong> &gt; <em id="mrs_01_0967__i2630711557">Name of the desired cluster</em> &gt; <strong id="mrs_01_0967__b166311911355">Services</strong> &gt; <strong id="mrs_01_0967__b1063116112511">Hive</strong> &gt; <strong id="mrs_01_0967__b19632916515">Configurations</strong> &gt; <strong id="mrs_01_0967__b96321611353">All Configurations</strong>.</li></ul>
+</p></li><li id="mrs_01_0967__li051003218413"><span>Choose <strong id="mrs_01_0967__b1556544314315">HiveServer(Role)</strong> &gt; <strong id="mrs_01_0967__b1156619438439">Customization</strong>, add a customized parameter to the <strong id="mrs_01_0967__b19566134384315">hive-site.xml</strong> parameter file, set <strong id="mrs_01_0967__b9567104324315">Name</strong> to <strong id="mrs_01_0967__b205679433433">hive.overwrite.directory.move.trash</strong>, and set <strong id="mrs_01_0967__b1156734314313">Value</strong> to <strong id="mrs_01_0967__b1256844319435">true</strong>. Restart all Hive instances after the modification.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0968.html b/docs/mrs/component-operation-guide/mrs_01_0968.html
new file mode 100644
index 000000000..1913173c1
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0968.html
@@ -0,0 +1,21 @@
+<a name="mrs_01_0968"></a><a name="mrs_01_0968"></a>
+
+<h1 class="topictitle1">Inserting Data to a Directory That Does Not Exist</h1>
+<div id="body1590395285089"><div class="section" id="mrs_01_0968__section883415117430"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0968__p786961194311">This function applies to Hive.</p>
+<p id="mrs_01_0968__p1786981124314">With this function enabled, run the <strong id="mrs_01_0968__b786991113437">insert overwrite directory </strong><em id="mrs_01_0968__i15830528195016">/path1/path2/path3</em>... command to write a subdirectory. The permission of the <em id="mrs_01_0968__i157819601717">/path1/path2</em> directory is 700, and the owner is the current user. If the <em id="mrs_01_0968__i18536241178">/path3</em> directory does not exist, it is automatically created and data is written successfully.</p>
+<p id="mrs_01_0968__p8869511174313">This function is supported when <strong id="mrs_01_0968__b19565740161716">hive.server2.enable.doAs</strong> is set to <strong id="mrs_01_0968__b195661340151711">true</strong> in earlier versions. This version supports the function when <strong id="mrs_01_0968__b1856624091719">hive.server2.enable.doAs</strong> is set to <strong id="mrs_01_0968__b4566340111718">false</strong>.</p>
+<div class="note" id="mrs_01_0968__note1183517111434"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0968__p168697110432">The parameter adjustment of this function is the same as that of the custom parameters added in <a href="mrs_01_0967.html">Writing a Directory into Hive with the Old Data Removed to the Recycle Bin</a>.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0968__section283671184312"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0968__ol181811550174911"><li id="mrs_01_0968__li1558615392582"><span>The Hive service configuration page is displayed.</span><p><ul id="mrs_01_0968__ul758611394580"><li id="mrs_01_0968__li195860395583">For versions earlier than MRS 1.9.2, log in to MRS Manager, choose <strong id="mrs_01_0968__b3318198854">Services</strong> &gt; <strong id="mrs_01_0968__b113181781510">Hive</strong> &gt; <strong id="mrs_01_0968__b11319980517">Service Configuration</strong>, and select <strong id="mrs_01_0968__b1632014818514">All</strong> from the <strong id="mrs_01_0968__b3320381959">Basic</strong> drop-down list.</li><li id="mrs_01_0968__li1358653915581">For MRS 1.9.2 or later, click the cluster name on the MRS console, choose <strong id="mrs_01_0968__b642909656">Components</strong> &gt; <strong id="mrs_01_0968__b1843009558">Hive</strong> &gt; <strong id="mrs_01_0968__b54301591358">Service Configuration</strong>, and select <strong id="mrs_01_0968__b154316919519">All</strong> from the <strong id="mrs_01_0968__b943118910512">Basic</strong> drop-down list.<div class="note" id="mrs_01_0968__note73070488542"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0968__p8410155813404">If the <strong id="mrs_01_0968__b12855131705917">Components</strong> tab is unavailable, complete IAM user synchronization first. (On the <strong id="mrs_01_0968__b385651713593">Dashboard</strong> page, click <strong id="mrs_01_0968__b985651795912">Synchronize</strong> on the right side of <span class="parmname" id="mrs_01_0968__parmname1685631711594"><b>IAM User Sync</b></span> to synchronize IAM users.)</p>
+</div></div>
+</li><li id="mrs_01_0968__li1675864017574">For MRS 3.<em id="mrs_01_0968__i04915101055">x</em> or later, log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. And choose <strong id="mrs_01_0968__b125345117517">Cluster</strong> &gt; <em id="mrs_01_0968__i253412116512">Name of the desired cluster</em> &gt; <strong id="mrs_01_0968__b1653471115517">Services</strong> &gt; <strong id="mrs_01_0968__b10534131117511">Hive</strong> &gt; <strong id="mrs_01_0968__b1953421110513">Configurations</strong> &gt; <strong id="mrs_01_0968__b165346112059">All Configurations</strong>.</li></ul>
+</p></li><li id="mrs_01_0968__li051003218413"><span>Choose <strong id="mrs_01_0968__b1737983404210">HiveServer(Role)</strong> &gt; <strong id="mrs_01_0968__b837943464212">Customization</strong>, add a customized parameter to the <strong id="mrs_01_0968__b173791134184213">hive-site.xml</strong> parameter file, set <strong id="mrs_01_0968__b3380103416420">Name</strong> to <strong id="mrs_01_0968__b1338033411428">hive.overwrite.directory.move.trash</strong>, and set <strong id="mrs_01_0968__b1738014349428">Value</strong> to <strong id="mrs_01_0968__b23801334124217">true</strong>. Restart all Hive instances after the modification.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0969.html b/docs/mrs/component-operation-guide/mrs_01_0969.html
new file mode 100644
index 000000000..db6fc5474
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0969.html
@@ -0,0 +1,21 @@
+<a name="mrs_01_0969"></a><a name="mrs_01_0969"></a>
+
+<h1 class="topictitle1">Creating Databases and Creating Tables in the Default Database Only as the Hive Administrator</h1>
+<div id="body1590395285090"><div class="section" id="mrs_01_0969__section1861622744312"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0969__p1960173420419">This function is applicable to Hive and Spark2x for MRS 3.<em id="mrs_01_0969__i158141451205114">x</em> or later, or Hive and Spark for versions earlier than MRS 3.x.</p>
+<p id="mrs_01_0969__p465992794310">After this function is enabled, only the Hive administrator can create databases and tables in the default database. Other users can use the databases only after being authorized by the Hive administrator.</p>
+<div class="note" id="mrs_01_0969__note1421164451216"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0969__ul1939114731215"><li id="mrs_01_0969__li1339114717125">After this function is enabled, common users are not allowed to create a database or create a table in the default database. Based on the actual application scenario, determine whether to enable this function.</li><li id="mrs_01_0969__li1339164711215">Permissions of common users are restricted. In the scenario where common users have been used to perform operations, such as database creation, table script migration, and metadata recreation in an earlier version of database, the users can perform such operations on the database in the condition that this function is disabled temporarily after the database is migrated or after the cluster is upgraded.</li></ul>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0969__section20620527124312"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0969__ol181811550174911"><li id="mrs_01_0969__li13806122116487"><span>The Hive service configuration page is displayed.</span><p><ul id="mrs_01_0969__ul1692910323486"><li id="mrs_01_0969__li792916322486">For versions earlier than MRS 1.9.2, log in to MRS Manager, choose <strong id="mrs_01_0969__b68074274211">Services</strong> &gt; <strong id="mrs_01_0969__b1480174210423">Hive</strong> &gt; <strong id="mrs_01_0969__b1181154294217">Service Configuration</strong>, and select <strong id="mrs_01_0969__b1181542124219">All</strong> from the <strong id="mrs_01_0969__b1481174224219">Basic</strong> drop-down list.</li><li id="mrs_01_0969__li979413816488">For MRS 1.9.2 or later, click the cluster name on the MRS console, choose <strong id="mrs_01_0969__b1688581069">Components</strong> &gt; <strong id="mrs_01_0969__b188856115619">Hive</strong> &gt; <strong id="mrs_01_0969__b1886711864">Service Configuration</strong>, and select <strong id="mrs_01_0969__b88861811265">All</strong> from the <strong id="mrs_01_0969__b6887515616">Basic</strong> drop-down list.<div class="note" id="mrs_01_0969__note73070488542"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0969__p660617634114">If the <strong id="mrs_01_0969__b724192413598">Components</strong> tab is unavailable, complete IAM user synchronization first. (On the <strong id="mrs_01_0969__b18241724195914">Dashboard</strong> page, click <strong id="mrs_01_0969__b2240248599">Synchronize</strong> on the right side of <span class="parmname" id="mrs_01_0969__parmname2241624145914"><b>IAM User Sync</b></span> to synchronize IAM users.)</p>
+</div></div>
+</li><li id="mrs_01_0969__li1675864017574">For MRS 3.<em id="mrs_01_0969__i19661175865">x</em> or later, log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. And choose <strong id="mrs_01_0969__b203573713618">Cluster</strong> &gt; <em id="mrs_01_0969__i93589719613">Name of the desired cluster</em> &gt; <strong id="mrs_01_0969__b6359177961">Services</strong> &gt; <strong id="mrs_01_0969__b33591271269">Hive</strong> &gt; <strong id="mrs_01_0969__b17360147366">Configurations</strong> &gt; <strong id="mrs_01_0969__b836018720610">All Configurations</strong>.</li></ul>
+</p></li><li id="mrs_01_0969__li051003218413"><span>Choose <strong id="mrs_01_0969__b522112394482">HiveServer(Role)</strong> &gt; <strong id="mrs_01_0969__b9226839184811">Customization</strong>, add a customized parameter to the <strong id="mrs_01_0969__b1122783964816">hive-site.xml</strong> parameter file, set <strong id="mrs_01_0969__b8227203913486">Name</strong> to <strong id="mrs_01_0969__b622783934819">hive.allow.only.admin.create</strong>, and set <strong id="mrs_01_0969__b132281039114814">Value</strong> to <strong id="mrs_01_0969__b152284395488">true</strong>. Restart all Hive instances after the modification.</span></li><li id="mrs_01_0969__li39661191595"><span>Determine whether to enable this function on the Spark/Spark2x client.</span><p><ul id="mrs_01_0969__ul5967798914"><li id="mrs_01_0969__li129671997912">If yes, go to <a href="#mrs_01_0969__li475373212497">4</a>.</li><li id="mrs_01_0969__li596799993">If no, no further action is required.</li></ul>
+</p></li></ol><ol start="4" id="mrs_01_0969__ol16520153115499"><li id="mrs_01_0969__li475373212497"><a name="mrs_01_0969__li475373212497"></a><a name="li475373212497"></a><span>Choose <strong id="mrs_01_0969__b456613451819">SparkResource2x</strong> &gt; <strong id="mrs_01_0969__b1256734520117">Customization</strong>, add a customized parameter to the <strong id="mrs_01_0969__b85671445112">hive-site.xml</strong> parameter file, set <strong id="mrs_01_0969__b25671645812">Name</strong> to <strong id="mrs_01_0969__b2056774520118">hive.allow.only.admin.create</strong>, and set <strong id="mrs_01_0969__b85671345517">Value</strong> to <strong id="mrs_01_0969__b15672451211">true</strong>. Then, choose <strong id="mrs_01_0969__b191505434218">JDBCServer2x</strong> &gt; <strong id="mrs_01_0969__b2757141618312">Customization</strong> and repeat the preceding operations to add the customized parameter. Restart all Spark2x instances after the modification.</span></li><li id="mrs_01_0969__li1851452185514"><span>Download and install the Spark/Spark2x client again.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0970.html b/docs/mrs/component-operation-guide/mrs_01_0970.html
new file mode 100644
index 000000000..aa30a8110
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0970.html
@@ -0,0 +1,21 @@
+<a name="mrs_01_0970"></a><a name="mrs_01_0970"></a>
+
+<h1 class="topictitle1">Disabling of Specifying the location Keyword When Creating an Internal Hive Table</h1>
+<div id="body1590395285091"><div class="section" id="mrs_01_0970__section18818847144313"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0970__p1960173420419">This function is applicable to Hive and Spark2x for MRS 3.<em id="mrs_01_0970__i47961718115613">x</em> or later, or Hive and Spark for versions earlier than MRS 3.x.</p>
+<p id="mrs_01_0970__p8893047104317">After this function is enabled, the <strong id="mrs_01_0970__b279444917108">location</strong> keyword cannot be specified when a Hive internal table is created. Specifically, after a table is created, the table path following the location keyword is created in the default <strong id="mrs_01_0970__b1665045110106">\warehouse</strong> directory and cannot be specified to another directory. If the location is specified when the internal table is created, the creation fails.</p>
+<div class="note" id="mrs_01_0970__note3429145621213"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0970__p12430115691219">After this function is enabled, the location keyword cannot be specified during the creation of a Hive internal table. The table creation statement is restricted. If a table that has been created in the database is not stored in the default directory <strong id="mrs_01_0970__b572565881019">/warehouse</strong>, the <strong id="mrs_01_0970__b157306586109">location</strong> keyword can still be specified when the database creation, table script migration, or metadata recreation operation is performed by disabling this function temporarily.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0970__section1684764794313"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0970__ol181811550174911"><li id="mrs_01_0970__li13806122116487"><span>The Hive service configuration page is displayed.</span><p><ul id="mrs_01_0970__ul1692910323486"><li id="mrs_01_0970__li792916322486">For versions earlier than MRS 1.9.2, log in to MRS Manager, choose <strong id="mrs_01_0970__b1038416599427">Services</strong> &gt; <strong id="mrs_01_0970__b1938420597423">Hive</strong> &gt; <strong id="mrs_01_0970__b238510597422">Service Configuration</strong>, and select <strong id="mrs_01_0970__b1385659114218">All</strong> from the <strong id="mrs_01_0970__b0385459174220">Basic</strong> drop-down list.</li><li id="mrs_01_0970__li979413816488">For MRS 1.9.2 or later, click the cluster name on the MRS console, choose <strong id="mrs_01_0970__b102471335869">Components</strong> &gt; <strong id="mrs_01_0970__b1824812352061">Hive</strong> &gt; <strong id="mrs_01_0970__b524873513612">Service Configuration</strong>, and select <strong id="mrs_01_0970__b62491735761">All</strong> from the <strong id="mrs_01_0970__b182506351969">Basic</strong> drop-down list.<div class="note" id="mrs_01_0970__note73070488542"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0970__p16384816174112">If the <strong id="mrs_01_0970__b5649173115910">Components</strong> tab is unavailable, complete IAM user synchronization first. (On the <strong id="mrs_01_0970__b56497317590">Dashboard</strong> page, click <strong id="mrs_01_0970__b12649631145919">Synchronize</strong> on the right side of <span class="parmname" id="mrs_01_0970__parmname1365053111595"><b>IAM User Sync</b></span> to synchronize IAM users.)</p>
+</div></div>
+</li><li id="mrs_01_0970__li1675864017574">For MRS 3.<em id="mrs_01_0970__i1569215376611">x</em> or later, log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. And choose <strong id="mrs_01_0970__b201347391763">Cluster</strong> &gt; <em id="mrs_01_0970__i0135193910610">Name of the desired cluster</em> &gt; <strong id="mrs_01_0970__b1313633915613">Services</strong> &gt; <strong id="mrs_01_0970__b5137173919612">Hive</strong> &gt; <strong id="mrs_01_0970__b91372392610">Configurations</strong> &gt; <strong id="mrs_01_0970__b1913817391069">All Configurations</strong>.</li></ul>
+</p></li><li id="mrs_01_0970__li051003218413"><span>Choose <strong id="mrs_01_0970__b981435065112">HiveServer(Role)</strong> &gt; <strong id="mrs_01_0970__b181417503513">Customization</strong>, add a customized parameter to the <strong id="mrs_01_0970__b5814155085119">hive-site.xml</strong> parameter file, set <strong id="mrs_01_0970__b13815950125119">Name</strong> to <strong id="mrs_01_0970__b1815250185111">hive.internaltable.notallowlocation</strong>, and set <strong id="mrs_01_0970__b14816125013519">Value</strong> to <strong id="mrs_01_0970__b10816350145114">true</strong>. Restart all Hive instances after the modification.</span></li><li id="mrs_01_0970__li39661191595"><span>Determine whether to enable this function on the Spark/Spark2x client.</span><p><ul id="mrs_01_0970__ul5967798914"><li id="mrs_01_0970__li129671997912">If yes, download and install the Spark/Spark2x client again.</li><li id="mrs_01_0970__li596799993">If no, no further action is required.</li></ul>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0971.html b/docs/mrs/component-operation-guide/mrs_01_0971.html
new file mode 100644
index 000000000..4cbb8195d
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0971.html
@@ -0,0 +1,21 @@
+<a name="mrs_01_0971"></a><a name="mrs_01_0971"></a>
+
+<h1 class="topictitle1">Enabling the Function of Creating a Foreign Table in a Directory That Can Only Be Read</h1>
+<div id="body1590395285093"><div class="section" id="mrs_01_0971__section1971814572430"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0971__p1960173420419">This function is applicable to Hive and Spark2x for MRS 3.<em id="mrs_01_0971__i14373045185619">x</em> or later, or Hive and Spark for versions earlier than MRS 3.x.</p>
+<p id="mrs_01_0971__p67618575439">After this function is enabled, the user or user group that has the read and execute permissions on a directory can create foreign tables in the directory without checking whether the current user is the owner of the directory. In addition, the directory of a foreign table cannot be stored in the default directory <strong id="mrs_01_0971__b1380725111518">\warehouse</strong>. In addition, do not change the permission of the directory during foreign table authorization.</p>
+<div class="note" id="mrs_01_0971__note14914352191118"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0971__p091565218118">After this function is enabled, the function of the foreign table changes greatly. Based on the actual application scenario, determine whether to enable this function.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0971__section3720957144315"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0971__ol181811550174911"><li id="mrs_01_0971__li13806122116487"><span>The Hive service configuration page is displayed.</span><p><ul id="mrs_01_0971__ul1692910323486"><li id="mrs_01_0971__li792916322486">For versions earlier than MRS 1.9.2, log in to MRS Manager, choose <strong id="mrs_01_0971__b77210617434">Services</strong> &gt; <strong id="mrs_01_0971__b147215617434">Hive</strong> &gt; <strong id="mrs_01_0971__b6721460431">Service Configuration</strong>, and select <strong id="mrs_01_0971__b472236174314">All</strong> from the <strong id="mrs_01_0971__b11722156164310">Basic</strong> drop-down list.</li><li id="mrs_01_0971__li979413816488">For MRS 1.9.2 or later, click the cluster name on the MRS console, choose <strong id="mrs_01_0971__b20830946569">Components</strong> &gt; <strong id="mrs_01_0971__b1983012469618">Hive</strong> &gt; <strong id="mrs_01_0971__b283115461610">Service Configuration</strong>, and select <strong id="mrs_01_0971__b1832746762">All</strong> from the <strong id="mrs_01_0971__b683320461616">Basic</strong> drop-down list.<div class="note" id="mrs_01_0971__note73070488542"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0971__p2775113354118">If the <strong id="mrs_01_0971__b2400174015596">Components</strong> tab is unavailable, complete IAM user synchronization first. (On the <strong id="mrs_01_0971__b840634013598">Dashboard</strong> page, click <strong id="mrs_01_0971__b1940664011592">Synchronize</strong> on the right side of <span class="parmname" id="mrs_01_0971__parmname54061240105916"><b>IAM User Sync</b></span> to synchronize IAM users.)</p>
+</div></div>
+</li><li id="mrs_01_0971__li1675864017574">For MRS 3.<em id="mrs_01_0971__i4920124817617">x</em> or later, log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. And choose <strong id="mrs_01_0971__b171105506614">Cluster</strong> &gt; <em id="mrs_01_0971__i16111145012619">Name of the desired cluster</em> &gt; <strong id="mrs_01_0971__b911225020617">Services</strong> &gt; <strong id="mrs_01_0971__b611316503615">Hive</strong> &gt; <strong id="mrs_01_0971__b10113550366">Configurations</strong> &gt; <strong id="mrs_01_0971__b311414501765">All Configurations</strong>.</li></ul>
+</p></li><li id="mrs_01_0971__li051003218413"><span>Choose <strong id="mrs_01_0971__b18514114911419">HiveServer(Role)</strong> &gt; <strong id="mrs_01_0971__b651419499417">Customization</strong>, add a customized parameter to the <strong id="mrs_01_0971__b125151249048">hive-site.xml</strong> parameter file, set <strong id="mrs_01_0971__b4515164915413">Name</strong> to <strong id="mrs_01_0971__b65164495413">hive.restrict.create.grant.external.table</strong>, and set <strong id="mrs_01_0971__b551612491044">Value</strong> to <strong id="mrs_01_0971__b195162049947">true</strong>.</span></li><li id="mrs_01_0971__li540112614154"><span>Choose <strong id="mrs_01_0971__b284310527413">MetaStore(Role)</strong> &gt; <strong id="mrs_01_0971__b584995217418">Customization</strong>, add a customized parameter to the <strong id="mrs_01_0971__b108494521041">hivemetastore-site.xml</strong> parameter file, set <strong id="mrs_01_0971__b19850952542">Name</strong> to <strong id="mrs_01_0971__b88501526412">hive.restrict.create.grant.external.table</strong>, and set <strong id="mrs_01_0971__b1285010525412">Value</strong> to <strong id="mrs_01_0971__b58512522418">true</strong>. Restart all Hive instances after the modification.</span></li><li id="mrs_01_0971__li39661191595"><span>Determine whether to enable this function on the Spark/Spark2x client.</span><p><ul id="mrs_01_0971__ul5967798914"><li id="mrs_01_0971__li129671997912">If yes, download and install the Spark/Spark2x client again.</li><li id="mrs_01_0971__li596799993">If no, no further action is required.</li></ul>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0972.html b/docs/mrs/component-operation-guide/mrs_01_0972.html
new file mode 100644
index 000000000..e3157b59e
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0972.html
@@ -0,0 +1,20 @@
+<a name="mrs_01_0972"></a><a name="mrs_01_0972"></a>
+
+<h1 class="topictitle1">Authorizing Over 32 Roles in Hive</h1>
+<div id="body1590395285094"><div class="section" id="mrs_01_0972__section1971814572430"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0972__p47611257174319">This function applies to Hive.</p>
+<p id="mrs_01_0972__p67618575439">The number of OS user groups is limited, and the number of roles that can be created in Hive cannot exceed 32. After this function is enabled, more than 32 roles can be created in Hive.</p>
+<div class="note" id="mrs_01_0972__note2391914161812"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0972__ul114102404529"><li id="mrs_01_0972__li124101340105218">After this function is enabled and the table or database is authorized, roles that have the same permission on the table or database will be combined using vertical bars (|). When the ACL permission is queried, the combined result is displayed, which is different from that before the function is enabled. This operation is irreversible. Determine whether to make adjustment based on the actual application scenario.</li><li id="mrs_01_0972__li124801243125210">MRS 3.<em id="mrs_01_0972__i1118522265415">x</em> and later versions support Ranger. If the current component uses Ranger for permission control, you need to configure related policies based on Ranger for permission management. For details, see <a href="mrs_01_1858.html">Adding a Ranger Access Permission Policy for Hive</a>.</li><li id="mrs_01_0972__li16718534122419">After this function is enabled, a maximum of 512 roles (including <strong id="mrs_01_0972__b187758233317">owner</strong>) are supported by default. The number is controlled by the user-defined parameter <strong id="mrs_01_0972__b161518581633">hive.supports.roles.max</strong> of MetaStore. You can change the value based on the actual application scenario.</li></ul>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0972__section3720957144315"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0972__ol181811550174911"><li id="mrs_01_0972__li13806122116487"><span>The Hive service configuration page is displayed.</span><p><ul id="mrs_01_0972__ul1692910323486"><li id="mrs_01_0972__li792916322486">For versions earlier than MRS 1.9.2, log in to MRS Manager, choose <strong id="mrs_01_0972__b7662254865">Services</strong> &gt; <strong id="mrs_01_0972__b15663175412611">Hive</strong> &gt; <strong id="mrs_01_0972__b86649546617">Service Configuration</strong>, and select <strong id="mrs_01_0972__b196654548610">All</strong> from the <strong id="mrs_01_0972__b176660542615">Basic</strong> drop-down list.</li><li id="mrs_01_0972__li979413816488">For MRS 1.9.2 or later, click the cluster name on the MRS console, choose <strong id="mrs_01_0972__b3451165618611">Components</strong> &gt; <strong id="mrs_01_0972__b845285617619">Hive</strong> &gt; <strong id="mrs_01_0972__b1045375612616">Service Configuration</strong>, and select <strong id="mrs_01_0972__b16453175619619">All</strong> from the <strong id="mrs_01_0972__b1245465616611">Basic</strong> drop-down list.<div class="note" id="mrs_01_0972__note73070488542"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0972__p768934314410">If the <strong id="mrs_01_0972__b16359174613596">Components</strong> tab is unavailable, complete IAM user synchronization first. (On the <strong id="mrs_01_0972__b1136011465597">Dashboard</strong> page, click <strong id="mrs_01_0972__b14360246175919">Synchronize</strong> on the right side of <span class="parmname" id="mrs_01_0972__parmname193603462598"><b>IAM User Sync</b></span> to synchronize IAM users.)</p>
+</div></div>
+</li><li id="mrs_01_0972__li1675864017574">For MRS 3.<em id="mrs_01_0972__i18531958269">x</em> or later, log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. And choose <strong id="mrs_01_0972__b1996035910620">Cluster</strong> &gt; <em id="mrs_01_0972__i596114591569">Name of the desired cluster</em> &gt; <strong id="mrs_01_0972__b5962559367">Services</strong> &gt; <strong id="mrs_01_0972__b1496325910614">Hive</strong> &gt; <strong id="mrs_01_0972__b1396415914611">Configurations</strong> &gt; <strong id="mrs_01_0972__b29656596615">All Configurations</strong>.</li></ul>
+</p></li><li id="mrs_01_0972__li540112614154"><span>Choose <strong id="mrs_01_0972__b1588110531090">MetaStore(Role)</strong> &gt; <strong id="mrs_01_0972__b8881653999">Customization</strong>, add a customized parameter to the <strong id="mrs_01_0972__b14881653495">hivemetastore-site.xml</strong> parameter file, set <strong id="mrs_01_0972__b15882145310910">Name</strong> to <strong id="mrs_01_0972__b18882185317912">hive.supports.over.32.roles</strong>, and set <strong id="mrs_01_0972__b10882105310917">Value</strong> to <strong id="mrs_01_0972__b158831153797">true</strong>. Restart all Hive instances after the modification.</span></li><li id="mrs_01_0972__li10617754102418"><span>Choose <strong id="mrs_01_0972__b13745144032819">HiveServer(Role)</strong> &gt; <strong id="mrs_01_0972__b12746114012284">Customization</strong>, add a customized parameter to the <strong id="mrs_01_0972__b13746114012819">hive-site.xml</strong> parameter file, set <strong id="mrs_01_0972__b1774694052811">Name</strong> to <strong id="mrs_01_0972__b2746240172814">hive.supports.over.32.roles</strong>, and set <strong id="mrs_01_0972__b1974619400289">Value</strong> to <strong id="mrs_01_0972__b10747040192818">true</strong>. Restart all Hive instances after the modification.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0973.html b/docs/mrs/component-operation-guide/mrs_01_0973.html
new file mode 100644
index 000000000..bd1fdffc3
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0973.html
@@ -0,0 +1,17 @@
+<a name="mrs_01_0973"></a><a name="mrs_01_0973"></a>
+
+<h1 class="topictitle1">Restricting the Maximum Number of Maps for Hive Tasks</h1>
+<div id="body1590395285096"><div class="section" id="mrs_01_0973__section1971814572430"><h4 class="sectiontitle">Scenario</h4><ul id="mrs_01_0973__ul8539153623612"><li id="mrs_01_0973__li053916367364">This function applies to Hive.</li><li id="mrs_01_0973__li125397366362">This function is used to limit the maximum number of maps for Hive tasks on the server to avoid performance deterioration caused by overload of the HiveSever service.</li></ul>
+</div>
+<div class="section" id="mrs_01_0973__section3720957144315"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0973__ol181811550174911"><li id="mrs_01_0973__li13806122116487"><span>The Hive service configuration page is displayed.</span><p><ul id="mrs_01_0973__ul1692910323486"><li id="mrs_01_0973__li792916322486">For versions earlier than MRS 1.9.2, log in to MRS Manager, choose <strong id="mrs_01_0973__b23513501429">Services</strong> &gt; <strong id="mrs_01_0973__b8352145017420">Hive</strong> &gt; <strong id="mrs_01_0973__b18352350184211">Service Configuration</strong>, and select <strong id="mrs_01_0973__b163523505425">All</strong> from the <strong id="mrs_01_0973__b17353850194214">Basic</strong> drop-down list.</li><li id="mrs_01_0973__li979413816488">For MRS 1.9.2 or later, click the cluster name on the MRS console, choose <strong id="mrs_01_0973__b1969196773">Components</strong> &gt; <strong id="mrs_01_0973__b5691166276">Hive</strong> &gt; <strong id="mrs_01_0973__b136911064713">Service Configuration</strong>, and select <strong id="mrs_01_0973__b36911262713">All</strong> from the <strong id="mrs_01_0973__b15692562717">Basic</strong> drop-down list.<div class="note" id="mrs_01_0973__note73070488542"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0973__p672713531414">If the <strong id="mrs_01_0973__b164156531597">Components</strong> tab is unavailable, complete IAM user synchronization first. (On the <strong id="mrs_01_0973__b104151353145911">Dashboard</strong> page, click <strong id="mrs_01_0973__b14416175355915">Synchronize</strong> on the right side of <span class="parmname" id="mrs_01_0973__parmname16416165311596"><b>IAM User Sync</b></span> to synchronize IAM users.)</p>
+</div></div>
+</li><li id="mrs_01_0973__li1675864017574">For MRS 3.<em id="mrs_01_0973__i45051585716">x</em> or later, log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. And choose <strong id="mrs_01_0973__b9924191472">Cluster</strong> &gt; <em id="mrs_01_0973__i6924129978">Name of the desired cluster</em> &gt; <strong id="mrs_01_0973__b99241791273">Services</strong> &gt; <strong id="mrs_01_0973__b292539573">Hive</strong> &gt; <strong id="mrs_01_0973__b2925149870">Configurations</strong> &gt; <strong id="mrs_01_0973__b492511910719">All Configurations</strong>.</li></ul>
+</p></li><li id="mrs_01_0973__li540112614154"><span>Choose <strong id="mrs_01_0973__b1611611221820">MetaStore(Role)</strong> &gt; <strong id="mrs_01_0973__b15116122180">Customization</strong>, add a customized parameter to the <strong id="mrs_01_0973__b2011742101816">hivemetastore-site.xml</strong> parameter file, set <strong id="mrs_01_0973__b1511732111817">Name</strong> to <strong id="mrs_01_0973__b81179214184">hive.mapreduce.per.task.max.splits</strong>, and set the parameter to a large value. Restart all Hive instances after the modification.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0974.html b/docs/mrs/component-operation-guide/mrs_01_0974.html
new file mode 100644
index 000000000..ed7d1b4b7
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0974.html
@@ -0,0 +1,23 @@
+<a name="mrs_01_0974"></a><a name="mrs_01_0974"></a>
+
+<h1 class="topictitle1">HiveServer Lease Isolation</h1>
+<div id="body1590395285098"><div class="section" id="mrs_01_0974__section18166125272016"><h4 class="sectiontitle">Scenario</h4><ul id="mrs_01_0974__ul17166185212015"><li id="mrs_01_0974__li1416614521205">This function applies to Hive.</li><li id="mrs_01_0974__li1616685210202">This function can be enabled to specify specific users to access HiveServer services on specific nodes, achieving HiveServer resource isolation.</li></ul>
+<div class="note" id="mrs_01_0974__note835285022717"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0974__p12363135052715">This section applies to MRS 3.<em id="mrs_01_0974__i39985135915">x</em> or later clusters.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0974__section3919113211206"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_0974__p616665219203">This section describes how to set lease isolation for user <strong id="mrs_01_0974__b109628357575">hiveuser</strong> for existing HiveServer instances.</p>
+<ol id="mrs_01_0974__ol3166135282019"><li id="mrs_01_0974__li1816665232020"><span>Log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>.</span></li><li id="mrs_01_0974__li1669517370136"><span>Choose <strong id="mrs_01_0974__b1647098552425">Cluster </strong>&gt; <em id="mrs_01_0974__i136612346352425">Name of the desired cluster</em> &gt; <strong id="mrs_01_0974__b55722477652425">Services</strong> &gt; <strong id="mrs_01_0974__b27354208952425">Hive </strong>&gt; <strong id="mrs_01_0974__b125741237052425">HiveServer</strong>.</span></li><li id="mrs_01_0974__li3166165222010"><span>In the HiveServer list, select the HiveServer for which lease isolation is configured and choose <strong id="mrs_01_0974__b132789748752425">HiveServer </strong>&gt; <strong id="mrs_01_0974__b30793249152425">Instance Configurations</strong> &gt; <strong id="mrs_01_0974__b34541438052425">All Configurations</strong>.</span></li><li id="mrs_01_0974__li21663526200"><a name="mrs_01_0974__li21663526200"></a><a name="li21663526200"></a><span>In the upper right corner of the <strong id="mrs_01_0974__b594212591500">All Configurations</strong> page, search for <strong id="mrs_01_0974__b7126666512">hive.server2.zookeeper.namespace</strong> and specify its value, for example, <strong id="mrs_01_0974__b20705122316518">hiveserver2_zk</strong>.</span></li><li id="mrs_01_0974__li11661752142010"><span>Click <strong id="mrs_01_0974__b24686998552425">Save</strong>. In the dialog box that is displayed, click <strong id="mrs_01_0974__b60332105752425">OK</strong>.</span></li><li id="mrs_01_0974__li12166155218202"><span>Choose <strong id="mrs_01_0974__b1571125013210">Cluster</strong> &gt; <em id="mrs_01_0974__i3725195319216">Name of the desired cluster</em> &gt; <strong id="mrs_01_0974__b12937115517217">Services</strong> &gt; <strong id="mrs_01_0974__b133532589215">Hive</strong>, choose <strong id="mrs_01_0974__b146251951137">More</strong> &gt; <strong id="mrs_01_0974__b1376918715312">Restart Service</strong>, and enter the password to restart the service.</span></li><li id="mrs_01_0974__li161667527201"><span>Run the <strong id="mrs_01_0974__b196985726552425">beeline -u</strong> command to log in to the client and run the following command:</span><p><p id="mrs_01_0974__p916685219206"><strong id="mrs_01_0974__b116695211202">beeline -u "jdbc:hive2://</strong><em id="mrs_01_0974__i1416614523207">10.5.159.13</em><strong id="mrs_01_0974__b19167125215209">:2181/;serviceDiscoveryMode=zooKeeper;zooKeeperNamespace=</strong><em id="mrs_01_0974__i116719527206">hiveserver2</em><em id="mrs_01_0974__i171675528204">_zk</em><strong id="mrs_01_0974__b142257281209">;sasl.qop=auth-conf;auth=KERBEROS;principal=hive/hadoop.</strong><em id="mrs_01_0974__i416715211207">&lt;System domain name</em><strong id="mrs_01_0974__b791618342019">&gt;@</strong><em id="mrs_01_0974__i1016717528207">&lt;System domain name&gt;</em><strong id="mrs_01_0974__b018718471309">"</strong></p>
+<p id="mrs_01_0974__p01671952162014">In the command, <strong id="mrs_01_0974__b1450515125716">10.5.159.13</strong> is replaced with the IP address of any ZooKeeper instance, which can be viewed through <strong id="mrs_01_0974__b150606847352425">Cluster</strong> &gt; <em id="mrs_01_0974__i147445170652425">Name of the desired cluster</em> &gt; <strong id="mrs_01_0974__b3127090852425">Services</strong> &gt; <strong id="mrs_01_0974__b1089210952425">ZooKeeper</strong> &gt; <strong id="mrs_01_0974__b214137847952425">Instance</strong>.</p>
+<p id="mrs_01_0974__p2167155210202"><strong id="mrs_01_0974__b153719301816">hiveserver2_zk</strong> following <strong id="mrs_01_0974__b2037430417">zooKeeperNamespace=</strong> is set to the value of <strong id="mrs_01_0974__b103713013116">hive.server2.zookeeper.namespace</strong> in <a href="#mrs_01_0974__li21663526200">4</a>.</p>
+<div class="p" id="mrs_01_0974__p716713526203">As a result, only the HiveServer whose lease isolation is configured can be logged in.<div class="note" id="mrs_01_0974__note12167125212011"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0974__ul8167952102010"><li id="mrs_01_0974__li1916717523203">After this function is enabled, you must run the preceding command during login to access the HiveServer for which lease isolation is configured. If you run the <strong id="mrs_01_0974__b216716527209">beeline</strong> command to log in to the client, only the HiveServer that is not isolated by the lease is accessed.</li><li id="mrs_01_0974__li19167452122014">You can log in to FusionInsight Manager, choose <strong id="mrs_01_0974__b46005230052425">System</strong> &gt; <strong id="mrs_01_0974__b100843564852425">Permission</strong> &gt; <strong id="mrs_01_0974__b152623506452425">Domain and Mutual Trust</strong>, and view the value of <strong id="mrs_01_0974__b84366724652425">Local Domain</strong>, which is the current system domain name. <strong id="mrs_01_0974__b101954351852425">hive/hadoop.</strong>&lt;<em id="mrs_01_0974__i169633621352425">system domain name</em>&gt; is the username. All letters in the system domain name contained in the username are lowercase letters.</li></ul>
+</div></div>
+</div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0975.html b/docs/mrs/component-operation-guide/mrs_01_0975.html
new file mode 100644
index 000000000..2460aa318
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0975.html
@@ -0,0 +1,162 @@
+<a name="mrs_01_0975"></a><a name="mrs_01_0975"></a>
+
+<h1 class="topictitle1">Hive Supporting Transactions</h1>
+<div id="body1590395285858"><div class="section" id="mrs_01_0975__section28311819102618"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0975__p9831141962617">Hive supports transactions at the table and partition levels. When the transaction mode is enabled, transaction tables can be incrementally updated, deleted, and read, implementing atomicity, isolation, consistency, and durability of operations on transaction tables.</p>
+<div class="note" id="mrs_01_0975__note835285022717"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0975__p12363135052715">This section applies to MRS 3.<em id="mrs_01_0975__i10661548195911">x</em> or later clusters.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0975__section88312019102612"><h4 class="sectiontitle">Introduction to Transaction Features</h4><p id="mrs_01_0975__p1783181942614">A transaction is a group of unitized operations. These operations are either executed together or not executed together. A transaction is an inseparable unit of work. The four basic elements of a transaction are usually called ACID features, which are as follows:</p>
+<ul id="mrs_01_0975__ul1583112192264"><li id="mrs_01_0975__li9831819152616">Atomicity: A transaction is an inseparable unit of work. All operations in a transaction occur or do not occur together.</li></ul>
+<ul id="mrs_01_0975__ul17831119202619"><li id="mrs_01_0975__li1083111193261">Consistency: The database integrity constraints are not damaged before and after a transaction starts.</li><li id="mrs_01_0975__li148314192264">Isolation: When multiple transactions are concurrently accessed, the transactions are isolated from each other. A transaction does not affect the running of other transactions. The impacts between transactions are as follows: dirty read, non-repeatable read, phantom read, and lost update.</li><li id="mrs_01_0975__li98311919122615">Durability: After a transaction is complete, changes made by the transaction lock to the database are permanently stored in the database.</li></ul>
+<p id="mrs_01_0975__p6831121922610">Characteristics of transaction execution:</p>
+<ul id="mrs_01_0975__ul108311119152612"><li id="mrs_01_0975__li8831219102617">A statement can be written to multiple partitions or tables. If the operation fails, the user cannot see partial write or insert. Even if data is frequently changed, operations can still be quickly performed.</li><li id="mrs_01_0975__li13831161972617">Hive can automatically compress ACID transaction files without affecting concurrent queries. When querying many small partition files, automatic compression can improve query performance and metadata occupation.</li><li id="mrs_01_0975__li11831101914269">Read semantics include snapshot isolation. When the read operation starts, the Hive data warehouse is logically locked. The read operation is not affected by any changes that occur during the operation.</li></ul>
+</div>
+<div class="section" id="mrs_01_0975__section6831141911260"><h4 class="sectiontitle">Lock Mechanism</h4><p id="mrs_01_0975__p16832111911268">Transactions implement the ACID feature through the following two aspects:</p>
+<ul id="mrs_01_0975__ul4832619152620"><li id="mrs_01_0975__li148329197266">Write-ahead logging ensures atomicity and durability.</li><li id="mrs_01_0975__li183231932617">Locking ensures isolation.</li></ul>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0975__table4832819132613" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_0975__row1183212196267"><th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.3.4.1.3.1.1"><p id="mrs_01_0975__p18832101902614">Operation</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="70%" id="mcps1.3.3.4.1.3.1.2"><p id="mrs_01_0975__p15832181912263">Type of Held Locks</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0975__row12832121915265"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.3.4.1.3.1.1 "><p id="mrs_01_0975__p2832111916266">Insert overwrite</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.3.4.1.3.1.2 "><p id="mrs_01_0975__p8832161911267">If <strong id="mrs_01_0975__b1620013141985">hive.txn.xlock.iow</strong> is set to <strong id="mrs_01_0975__b5848125988">true</strong>, the exclusive lock is held. If <strong id="mrs_01_0975__b14230037980">hive.txn.xlock.iow</strong> is set to <strong id="mrs_01_0975__b6792114514818">false</strong>, the semi-shared lock is held.</p>
+</td>
+</tr>
+<tr id="mrs_01_0975__row158326198269"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.3.4.1.3.1.1 "><p id="mrs_01_0975__p1883231962616">Insert</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.3.4.1.3.1.2 "><p id="mrs_01_0975__p12832191916266">Shared lock. When performing this operation, you can perform read and write operations on the current table or partition.</p>
+</td>
+</tr>
+<tr id="mrs_01_0975__row383251918260"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.3.4.1.3.1.1 "><p id="mrs_01_0975__p383210194260">Update/delete</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.3.4.1.3.1.2 "><p id="mrs_01_0975__p2832121942613">Semi-shared lock. When this operation is performed, an operation of holding a shared lock can be performed, but an operation of holding an exclusive lock or a semi-shared lock cannot be performed.</p>
+</td>
+</tr>
+<tr id="mrs_01_0975__row1483221917267"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.3.4.1.3.1.1 "><p id="mrs_01_0975__p9832191913263">Drop</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.3.4.1.3.1.2 "><p id="mrs_01_0975__p148320199261">Exclusive lock. You cannot perform any other operations on the current table or partition when performing this operation.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_0975__note083212191262"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0975__p1483301917263">If a conflict caused by the lock mechanism exists in the write operation, the operation that preferentially holds the lock succeeds, and other operations fail.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0975__section19833161942612"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_0975__p128337197268"><strong id="mrs_01_0975__b1483361910263">Starting a Transaction</strong></p>
+</div>
+<ol id="mrs_01_0975__ol1583351916261"><li id="mrs_01_0975__li1783391922613"><span>Log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. Choose <strong id="mrs_01_0975__b599513012611">Cluster</strong> &gt; <em id="mrs_01_0975__i106511161877">Name of the desired cluster</em> &gt; <strong id="mrs_01_0975__b1629101314711">Services</strong> &gt; <strong id="mrs_01_0975__b131378151714">Hive</strong> &gt; <strong id="mrs_01_0975__b74611217575">Configurations</strong> &gt; <strong id="mrs_01_0975__b749711191278">All Configurations</strong> &gt; <strong id="mrs_01_0975__b824017221720">MetaStore(Role)</strong> &gt; <strong id="mrs_01_0975__b118948246720">Transaction</strong>.</span></li><li id="mrs_01_0975__li4833151919266"><span>Set <strong id="mrs_01_0975__b1764813217715">metastore.compactor.initiator.on</strong> to <strong id="mrs_01_0975__b197991834976">true</strong>.</span></li><li id="mrs_01_0975__li483331912269"><span>Set <strong id="mrs_01_0975__b832014016710">metastore.compactor.worker.threads</strong> to a positive integer.</span><p><div class="note" id="mrs_01_0975__note11833121982613"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0975__p483371913269"><strong id="mrs_01_0975__b9192127399">metastore.compactor.worker.threads</strong>: Specifies the number of working threads for running the compression program on MetaStore. Set this parameter based on the actual requirements. If the value is too small, the transaction compression task is executed slowly. If the value is too large, the MetaStore execution performance deteriorates.</p>
+</div></div>
+</p></li><li id="mrs_01_0975__li8833101932618"><span>Log in to the Hive client and run the following command to enable the following parameters. For details, see <a href="mrs_01_0952.html">Using a Hive Client</a>.</span><p><p id="mrs_01_0975__p13833151915265"><strong id="mrs_01_0975__b15834319202614">set hive.support.concurrency=true;</strong></p>
+<p id="mrs_01_0975__p11834131911265"><strong id="mrs_01_0975__b1183481912619">set hive.exec.dynamic.partition.mode=nonstrict;</strong></p>
+<p id="mrs_01_0975__p16834121982614"><strong id="mrs_01_0975__b48341819132615">set hive.txn.manager=org.apache.hadoop.hive.ql.lockmgr.DbTxnManager;</strong></p>
+</p></li></ol>
+<p id="mrs_01_0975__p48341719162617"><strong id="mrs_01_0975__b1063075716105">Create a transaction table.</strong></p>
+<ol start="5" id="mrs_01_0975__ol1183491962620"><li id="mrs_01_0975__li983420198262"><span>Run the following command to create a transaction table:</span><p><p id="mrs_01_0975__p1883421914267"><strong id="mrs_01_0975__b78345199269">CREATE TABLE [IF NOT EXISTS] </strong><em id="mrs_01_0975__i13834191932615">[db_name.]table_name</em><strong id="mrs_01_0975__b78344191261"> (</strong><em id="mrs_01_0975__i20834919132614">col_name data_type </em><em id="mrs_01_0975__i283401962617">[COMMENT col_comment]</em><em id="mrs_01_0975__i1283411942620">, ...</em><strong id="mrs_01_0975__b1383414192266">) [ROW FORMAT row_format] STORED AS orc ...... TBLPROPERTIES ('transactional'='true'[,'groupId'='group1' ... ] );</strong></p>
+<p id="mrs_01_0975__p683441914267">For example:</p>
+<p id="mrs_01_0975__p383431915261"><strong id="mrs_01_0975__b98341819172615">CREATE TABLE acidTbl (a int, b int) STORED AS ORC TBLPROPERTIES ('transactional'='true');</strong></p>
+<div class="note" id="mrs_01_0975__note1383481922612"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0975__ul108341019142618"><li id="mrs_01_0975__li19834131982616">Currently, the transactions support only the ORC format.</li><li id="mrs_01_0975__li1983413194260">External tables are not supported.</li><li id="mrs_01_0975__li148345191260">Sorted tables are not supported.</li><li id="mrs_01_0975__li148340196265">To create a transaction table, you must add the table attribute <strong id="mrs_01_0975__b1369651131120">transactional'='true'</strong>.</li><li id="mrs_01_0975__li1383512193261">The transaction table can be read and written only in transaction mode.</li></ul>
+</div></div>
+</p></li></ol>
+<p id="mrs_01_0975__p18835201992619"><strong id="mrs_01_0975__b14568219124">Use the transaction table.</strong></p>
+<ol start="6" id="mrs_01_0975__ol18354199261"><li id="mrs_01_0975__li208351319192611"><span>Run commands to use the transaction table. The following uses the <strong id="mrs_01_0975__b2122015121220">acidTbl</strong> table as an example:</span><p><ul id="mrs_01_0975__ul158354197269"><li id="mrs_01_0975__li14835019192616">Insert data into an existing transaction table:<p id="mrs_01_0975__p138351719102615"><a name="mrs_01_0975__li14835019192616"></a><a name="li14835019192616"></a><strong id="mrs_01_0975__b6835319142611">INSERT INTO acidTbl VALUES(1,1);</strong></p>
+</li><li id="mrs_01_0975__li2083591914267">Update an existing transaction table:<p id="mrs_01_0975__p38351519172614"><a name="mrs_01_0975__li2083591914267"></a><a name="li2083591914267"></a><strong id="mrs_01_0975__b683511992611">UPDATE acidTbl SET b = 10 where a = 1;</strong></p>
+<p id="mrs_01_0975__p1483511952615">The content of <strong id="mrs_01_0975__b127542829551345">acidTbl</strong> is changed to:</p>
+<p id="mrs_01_0975__p48351719142615"><span><img id="mrs_01_0975__image5835111972616" src="en-us_image_0000001295930456.jpg"></span></p>
+</li><li id="mrs_01_0975__li9835201915260">Merge the old and new transaction tables:<p id="mrs_01_0975__p1835201952619"><a name="mrs_01_0975__li9835201915260"></a><a name="li9835201915260"></a>The <strong id="mrs_01_0975__b143342516051345">acidTbl_update</strong> table contains the following data:</p>
+<p id="mrs_01_0975__p3835111972619"><span><img id="mrs_01_0975__image1383513191268" src="en-us_image_0000001296249936.jpg"></span></p>
+<p id="mrs_01_0975__p2835121917262"><strong id="mrs_01_0975__b883514192267">MERGE INTO acidTbl AS a</strong></p>
+<p id="mrs_01_0975__p128351319112615"><strong id="mrs_01_0975__b198351419162618">USING acidTbl_update AS b ON a.a = b.a</strong></p>
+<p id="mrs_01_0975__p108351819102616"><strong id="mrs_01_0975__b78351019172618">WHEN MATCHED THEN UPDATE SET b = b. b</strong></p>
+<p id="mrs_01_0975__p118351619182612"><strong id="mrs_01_0975__b16835219112614">WHEN NOT MATCHED THEN INSERT VALUES (b.a, b.b);</strong></p>
+<p id="mrs_01_0975__p9835119172611">The content of <strong id="mrs_01_0975__b111284905251345">acidTbl</strong> is changed to:</p>
+<p id="mrs_01_0975__p178351719132611"><span><img id="mrs_01_0975__image983561915260" src="en-us_image_0000001348770317.jpg"></span></p>
+<div class="note" id="mrs_01_0975__note1147111310198"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0975__p4665922121912">If "Error evaluating cardinality_violation" is displayed when you run the <strong id="mrs_01_0975__b6976133818512">merge</strong> command, check whether duplicate connection keys exist or run the <strong id="mrs_01_0975__b4411115355112">set hive.merge.cardinality.check=false</strong> command to avoid this exception.</p>
+</div></div>
+</li></ul>
+<ul id="mrs_01_0975__ul168355198266"><li id="mrs_01_0975__li8835181912268">Delete records from the transaction table.<p id="mrs_01_0975__p158351819182611"><a name="mrs_01_0975__li8835181912268"></a><a name="li8835181912268"></a><strong id="mrs_01_0975__b48351919182610">DELETE FROM acidTbl where a = 2;</strong></p>
+<p id="mrs_01_0975__p18836141912618"><span><img id="mrs_01_0975__image8836619122616" src="en-us_image_0000001349289613.jpg"></span></p>
+</li></ul>
+</p></li></ol>
+<p id="mrs_01_0975__p168361919122617"><strong id="mrs_01_0975__b2836119182617">Checking the Transaction Execution Status</strong></p>
+<ol start="7" id="mrs_01_0975__ol1836181942620"><li id="mrs_01_0975__li38362196266"><span>Run the following command to check the transaction execution status:</span><p><ul id="mrs_01_0975__ul198367192268"><li id="mrs_01_0975__li88361619112616">Check the lock:<p id="mrs_01_0975__p8836119172619"><a name="mrs_01_0975__li88361619112616"></a><a name="li88361619112616"></a><strong id="mrs_01_0975__b583691942619">show locks;</strong></p>
+</li><li id="mrs_01_0975__li12836419192618">Check the compression task:<p id="mrs_01_0975__p178364196265"><a name="mrs_01_0975__li12836419192618"></a><a name="li12836419192618"></a><strong id="mrs_01_0975__b16836419132620">show compactions;</strong></p>
+</li><li id="mrs_01_0975__li6836141912267"><a name="mrs_01_0975__li6836141912267"></a><a name="li6836141912267"></a>Check the task execution status:<p id="mrs_01_0975__p1683616194263"><a name="mrs_01_0975__li6836141912267"></a><a name="li6836141912267"></a><strong id="mrs_01_0975__b10836181942615">show transactions;</strong></p>
+</li><li id="mrs_01_0975__li11836219192616">Interrupt a transaction:<p id="mrs_01_0975__p1836319122619"><a name="mrs_01_0975__li11836219192616"></a><a name="li11836219192616"></a><strong id="mrs_01_0975__b19836181916267">abort transaction</strong><strong id="mrs_01_0975__b966618152305">s</strong> <em id="mrs_01_0975__i3836161912619">TransactionId</em><strong id="mrs_01_0975__b12836619152613">;</strong></p>
+<p id="mrs_01_0975__p51321349559"><em id="mrs_01_0975__i69420355313">TransactionId</em> is the value in the <strong id="mrs_01_0975__b615925611315">Transaction ID</strong> column in the command output of <a href="#mrs_01_0975__li6836141912267">Check the task execution status</a>.</p>
+</li></ul>
+</p></li></ol>
+<div class="section" id="mrs_01_0975__section1283631922615"><h4 class="sectiontitle">Configuring the Compression Function</h4><p id="mrs_01_0975__p9836119192619">HDFS does not support in-place file changing. For the new content, HDFS does not provide read consistency either. To provide these features on HDFS, we follow the standard approach used in other data warehouse tools: table or partition data is stored in a set of base files, and new, updated, as well as deleted records are stored in incremental files. Each transaction creates a new set of incremental files to change the table or partition. When read, the base files and the incremental files are merged and the changes of the update or deletion are applied.</p>
+</div>
+<p id="mrs_01_0975__p283681918266">Writing a transaction table generates some small files in HDFS. Hive provides major and minor compression policies for combining these small files.</p>
+<div class="section" id="mrs_01_0975__section295211137263"><h4 class="sectiontitle">Procedure of Automatic Compression</h4><ol id="mrs_01_0975__ol15836191992616"><li id="mrs_01_0975__li1983601992619"><span>Log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. Choose <strong id="mrs_01_0975__b3651213194920">Cluster</strong> &gt; <em id="mrs_01_0975__i765191334910">Name of the desired cluster</em> &gt; <strong id="mrs_01_0975__b16511313114917">Services</strong> &gt; <strong id="mrs_01_0975__b565171320496">Hive</strong> &gt; <strong id="mrs_01_0975__b10651151312496">Configurations</strong> &gt; <strong id="mrs_01_0975__b8652513194918">All Configurations</strong> &gt; <strong id="mrs_01_0975__b1165231394910">MetaStore(Role)</strong> &gt; <strong id="mrs_01_0975__b14652111324920">Transaction</strong>.</span></li><li id="mrs_01_0975__li1183691919266"><span>Set the following parameters as required:</span><p>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0975__table383616195262" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_0975__row17837119182615"><th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.14.2.2.2.1.2.3.1.1"><p id="mrs_01_0975__p98371819102616">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="70%" id="mcps1.3.14.2.2.2.1.2.3.1.2"><p id="mrs_01_0975__p983715193263">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0975__row9837191912264"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.14.2.2.2.1.2.3.1.1 "><p id="mrs_01_0975__p11837101972617">hive.compactor.check.interval</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.14.2.2.2.1.2.3.1.2 "><p id="mrs_01_0975__p198371819122614">Interval of executing compression threads. Unit: second. Default value: <strong id="mrs_01_0975__b15714112052618">300</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_0975__row88378199263"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.14.2.2.2.1.2.3.1.1 "><p id="mrs_01_0975__p17837819112616">hive.compactor.cleaner.run.interval</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.14.2.2.2.1.2.3.1.2 "><p id="mrs_01_0975__p18837161913267">Interval of executing cleaning threads. Unit: millisecond. Default value: <strong id="mrs_01_0975__b3165172519268">5,000</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_0975__row7837419122613"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.14.2.2.2.1.2.3.1.1 "><p id="mrs_01_0975__p13837191912620">hive.compactor.delta.num.threshold</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.14.2.2.2.1.2.3.1.2 "><p id="mrs_01_0975__p78373195265">Threshold of the number of incremental files that trigger minor compression. Default value: <strong id="mrs_01_0975__b15491142812262">10</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_0975__row9837181992611"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.14.2.2.2.1.2.3.1.1 "><p id="mrs_01_0975__p17837121952616">hive.compactor.delta.pct.threshold</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.14.2.2.2.1.2.3.1.2 "><p id="mrs_01_0975__p483719198262">Ratio threshold of the total size of incremental files (delta) that trigger Major compression to the size of base files. The value <strong id="mrs_01_0975__b69131252181316">0.1</strong> indicates that Major compression is triggered when the ratio of the total size of delta files to the size of base files is 10%. Default value: <strong id="mrs_01_0975__b10108631181416">0.1</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_0975__row128372193261"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.14.2.2.2.1.2.3.1.1 "><p id="mrs_01_0975__p983711914268">hive.compactor.max.num.delta</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.14.2.2.2.1.2.3.1.2 "><p id="mrs_01_0975__p4837161982619">Maximum number of incremental files that the compressor will attempt to process in a single job. Default value: <strong id="mrs_01_0975__b201491535132615">500</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_0975__row138371119112610"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.14.2.2.2.1.2.3.1.1 "><p id="mrs_01_0975__p16838171942610">metastore.compactor.initiator.on</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.14.2.2.2.1.2.3.1.2 "><p id="mrs_01_0975__p1383891920269">Indicates whether to run the startup program thread and cleanup program thread on the MetaStore instance. The value must be <strong id="mrs_01_0975__b62153573256">true</strong>. Default value: <strong id="mrs_01_0975__b2374958172513">false</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_0975__row11838141902613"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.14.2.2.2.1.2.3.1.1 "><p id="mrs_01_0975__p17838131902611">metastore.compactor.worker.threads</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.14.2.2.2.1.2.3.1.2 "><p id="mrs_01_0975__p128381819192615">Number of compression program work threads running on MetaStore. If this parameter is set to <strong id="mrs_01_0975__b678010712275">0</strong>, no compression is performed. To use a transaction, you must set this parameter to a positive number on one or more instances of the MetaStore service. Unit: second Default value: <strong id="mrs_01_0975__b44521507351345">0</strong></p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_0975__li8838111919268"><span>Log in to the Hive client and perform compression. For details, see <a href="mrs_01_0952.html">Using a Hive Client</a>.</span><p><pre class="screen" id="mrs_01_0975__screen19838819132619">CREATE TABLE table_name (
+ id int, name string
+)
+CLUSTERED BY (id) INTO 2 BUCKETS STORED AS ORC
+TBLPROPERTIES ("transactional"="true",
+  "compactor.mapreduce.map.memory.mb"="2048",                   -- Specify the properties of a compression map job.
+  "compactorthreshold.hive.compactor.delta.num.threshold"="4", -- If there are more than four incremental directories, slight compression is triggered.
+  "compactorthreshold.hive.compactor.delta.pct.threshold"="0.5" -- If the ratio of the incremental file size to the basic file size is greater than 50%, deep compression is triggered.
+);</pre>
+<p id="mrs_01_0975__p58388199263">or</p>
+<pre class="screen" id="mrs_01_0975__screen8838419162616">ALTER TABLE table_name COMPACT 'minor' WITH OVERWRITE TBLPROPERTIES ("compactor.mapreduce.map.memory.mb"="3072"); -- Specify the properties of a compression map job.
+ALTER TABLE table_name COMPACT 'major' WITH OVERWRITE TBLPROPERTIES ("tblprops.orc.compress.size"="8192");        -- Modify any other Hive table attributes.</pre>
+<div class="note" id="mrs_01_0975__note1583851917262"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0975__p483817199269">After compression, small files are not deleted immediately. After the cleaner thread performs cleaning, the files are deleted in batches.</p>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0976.html b/docs/mrs/component-operation-guide/mrs_01_0976.html
new file mode 100644
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+++ b/docs/mrs/component-operation-guide/mrs_01_0976.html
@@ -0,0 +1,236 @@
+<a name="mrs_01_0976"></a><a name="mrs_01_0976"></a>
+
+<h1 class="topictitle1">Hive Log Overview</h1>
+<div id="body1590395285863"><div class="section" id="mrs_01_0976__s4cfaa897839d43d5bfdc2cb9bb7c0928"><h4 class="sectiontitle">Log Description</h4><p id="mrs_01_0976__en-us_topic_0046736734_p42341959"><strong id="mrs_01_0976__b8331337192816">Log path</strong>: The default save path of Hive logs is <strong id="mrs_01_0976__b841711560285">/var/log/Bigdata/hive/</strong><em id="mrs_01_0976__i158621759202813">role name</em>, the default save path of Hive1 logs is <strong id="mrs_01_0976__b16248297292">/var/log/Bigdata/hive1/</strong><em id="mrs_01_0976__i1836713211294">role name</em>, and the others follow the same rule.</p>
+<ul id="mrs_01_0976__en-us_topic_0046736734_ul7146644"><li id="mrs_01_0976__en-us_topic_0046736734_li64319798">HiveServer: <strong id="mrs_01_0976__b178840123013">/var/log/Bigdata/hive/hiveserver</strong> (run log) and <strong id="mrs_01_0976__b1276184783014">var/log/Bigdata/audit/hive/hiveserver</strong> (audit log)</li><li id="mrs_01_0976__en-us_topic_0046736734_li42007273">MetaStore: <strong id="mrs_01_0976__b1354911573113">/var/log/Bigdata/hive/metastore</strong> (run log) and <strong id="mrs_01_0976__b1364295133117">/var/log/Bigdata/audit/hive/metastore</strong> (audit log)</li><li id="mrs_01_0976__en-us_topic_0046736734_li42521143">WebHCat: <strong id="mrs_01_0976__b1115434133214">/var/log/Bigdata/hive/webhcat</strong> (run log) and <strong id="mrs_01_0976__b920514916323">/var/log/Bigdata/audit/hive/webhcat</strong> (audit log)</li></ul>
+<p id="mrs_01_0976__en-us_topic_0046736734_p47145967"><strong id="mrs_01_0976__b1528335816320">Log archive rule</strong>: The automatic compression and archiving function of Hive is enabled. By default, when the size of a log file exceeds 20 MB (which is adjustable), the log file is automatically compressed. The naming rule of a compressed log file is as follows: &lt;<em id="mrs_01_0976__i16283135816321">Original log name</em>&gt;-&lt;<em id="mrs_01_0976__i1283195863214">yyyy-mm-dd_hh-mm-ss</em>&gt;.[<em id="mrs_01_0976__i328425873215">ID</em>].<strong id="mrs_01_0976__b728413589324">log.zip</strong> A maximum of 20 latest compressed files are reserved. The number of compressed files and compression threshold can be configured. </p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0976__table62831410145212" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Hive log list</caption><thead align="left"><tr id="mrs_01_0976__row10283161075215"><th align="left" class="cellrowborder" valign="top" width="28.642864286428644%" id="mcps1.3.1.5.2.4.1.1"><p id="mrs_01_0976__p10283710165216">Log Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="35.64356435643564%" id="mcps1.3.1.5.2.4.1.2"><p id="mrs_01_0976__p192836105521">Log File Name</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="35.713571357135706%" id="mcps1.3.1.5.2.4.1.3"><p id="mrs_01_0976__p9283121011528">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0976__row1928491075212"><td class="cellrowborder" rowspan="24" valign="top" width="28.642864286428644%" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0976__p192841210165218">Run log</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.64356435643564%" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0976__p132841810195219">/hiveserver/hiveserver.out</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.713571357135706%" headers="mcps1.3.1.5.2.4.1.3 "><p id="mrs_01_0976__p428431017522">Log file that records HiveServer running environment information.</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__row3284110175217"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0976__p1928418103524">/hiveserver/hive.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0976__p1228431045213">Run log file of the HiveServer process.</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__row11284151065216"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0976__p142845103526">/hiveserver/hive-omm-<em id="mrs_01_0976__i24701934204714">&lt;Date&gt;</em>-<em id="mrs_01_0976__i33077370474">&lt;PID&gt;</em>-gc.log.<em id="mrs_01_0976__i33732408471">&lt;No.&gt;</em></p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0976__p528471095213">GC log file of the HiveServer process.</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__row8284910165218"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0976__p7284610175212">/hiveserver/prestartDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0976__p18284710105216">Work log file before the HiveServer startup.</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__row2284131010526"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0976__p7284131010527">/hiveserver/check-serviceDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0976__p1228414103522">Log file that records whether the Hive service starts successfully</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__en-us_topic_0046736734_row36753709"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0976__en-us_topic_0046736734_p24260491">/hiveserver/cleanupDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0976__en-us_topic_0046736734_p18942765">Cleanup log file about the HiveServer uninstallation</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__row3284141055210"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0976__p828421075216">/hiveserver/startDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0976__p42841610145214">Startup log file of the HiveServer process.</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__row228531010529"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0976__p9285810135214">/hiveserver/stopDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0976__p132851110145211">Shutdown log file of the HiveServer process.</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__row1328518108527"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0976__p7285110145217">/hiveserver/localtasklog/omm_<em id="mrs_01_0976__i152725015471">&lt;Date&gt;</em>_<em id="mrs_01_0976__i1025713313488">&lt;Task ID&gt;</em>.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0976__p102851106528">Run log file of the local Hive task.</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__row72851103524"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0976__p11285310125212">/hiveserver/localtasklog/omm_<em id="mrs_01_0976__i24301245134819">&lt;Date&gt;</em>_<em id="mrs_01_0976__i96546490486">&lt;Task ID&gt;</em>-gc.log.<em id="mrs_01_0976__i21081357194819">&lt;No.&gt;</em></p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0976__p22851610205217">GC log file of the local Hive task.</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__row1328561013528"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0976__p1285210135220">/metastore/metastore.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0976__p192855107525">Run log file of the MetaStore process.</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__row6285121075217"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0976__p11285151017524">/metastore/hive-omm-<em id="mrs_01_0976__i636812119497">&lt;Date&gt;</em>-<em id="mrs_01_0976__i95461014194912">&lt;PID&gt;</em>-gc.log.<em id="mrs_01_0976__i17277101794918">&lt;No.&gt;</em></p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0976__p1628571015524">GC log file of the MetaStore process.</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__row32851410135212"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0976__p12853104527">/metastore/postinstallDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0976__p18285151045210">Work log file after the MetaStore installation.</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__row112852107524"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0976__p12851410105216">/metastore/prestartDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0976__p172851510135213">Work log file before the MetaStore startup</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__en-us_topic_0046736734_row20164217"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0976__en-us_topic_0046736734_p22688855">/metastore/cleanupDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0976__en-us_topic_0046736734_p25857933">Cleanup log file of the MetaStore uninstallation</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__row328610103521"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0976__p182861610145214">/metastore/startDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0976__p52861010115213">Startup log file of the MetaStore process.</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__row1828610106520"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0976__p82865104529">/metastore/stopDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0976__p52867104524">Shutdown log file of the MetaStore process.</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__row1128631012523"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0976__p202861310125219">/metastore/metastore.out</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0976__p1928691075219">Log file that records MetaStore running environment information.</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__row132865106520"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0976__p528681012522">/webhcat/webhcat-console.out</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0976__p1328613101521">Log file that records the normal start and stop of the WebHCat process.</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__row202861310165211"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0976__p16286151005216">/webhcat/webhcat-console-error.out</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0976__p162861108528">Log file that records the start and stop exceptions of the WebHCat process.</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__row92864101524"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0976__p1028651013529">/webhcat/prestartDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0976__p7286510175212">Work log file before the WebHCat startup.</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__en-us_topic_0046736734_row65257798"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0976__en-us_topic_0046736734_p51390263">/webhcat/cleanupDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0976__en-us_topic_0046736734_p1861806">Cleanup logs generated during WebHCat uninstallation or before WebHCat installation</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__row1728641019523"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0976__p1628701017522">/webhcat/hive-omm-&lt;<em id="mrs_01_0976__i1502183714328">Date</em>&gt;-&lt;PID&gt;-gc.log.&lt;<em id="mrs_01_0976__i5762413329">No</em>.&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0976__p728719104524">GC log file of the WebHCat process.</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__row1828715105522"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0976__p142871110155217">/webhcat/webhcat.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0976__p1928713108522">Run log file of the WebHCat process</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__row5287910155217"><td class="cellrowborder" rowspan="4" valign="top" width="28.642864286428644%" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0976__p182871410115214">Audit log</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.64356435643564%" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0976__p628714108523">hive-audit.log</p>
+<p id="mrs_01_0976__p08731639145118">hive-rangeraudit.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.713571357135706%" headers="mcps1.3.1.5.2.4.1.3 "><p id="mrs_01_0976__p528711055213">HiveServer audit log file</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__row112873102522"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0976__p14287141015525">metastore-audit.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0976__p1528701017526">MetaStore audit log file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__row6287110165210"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0976__p428751014528">webhcat-audit.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0976__p62871310105219">WebHCat audit log file.</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__row1728781025219"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_0976__p8287151015217">jetty-&lt;Date&gt;.request.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_0976__p1287181085211">Request logs of the jetty service.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_0976__section678843011495"><h4 class="sectiontitle">Log Levels</h4><p id="mrs_01_0976__en-us_topic_0046736734_p9424991"><a href="#mrs_01_0976__t91045e1a946a46b4bac39028af62f3ad">Table 2</a> describes the log levels supported by Hive.</p>
+<p id="mrs_01_0976__en-us_topic_0046736734_p25226782">Levels of run logs are ERROR, WARN, INFO, and DEBUG from the highest to the lowest priority. Run logs of equal or higher levels are recorded. The higher the specified log level, the fewer the logs recorded.</p>
+
+<div class="tablenoborder"><a name="mrs_01_0976__t91045e1a946a46b4bac39028af62f3ad"></a><a name="t91045e1a946a46b4bac39028af62f3ad"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0976__t91045e1a946a46b4bac39028af62f3ad" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Log levels</caption><thead align="left"><tr id="mrs_01_0976__en-us_topic_0046736734_row58374663"><th align="left" class="cellrowborder" valign="top" width="39.190000000000005%" id="mcps1.3.2.4.2.3.1.1"><p id="mrs_01_0976__en-us_topic_0046736734_p52951174"><strong id="mrs_01_0976__b1373025916579">Level</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="60.809999999999995%" id="mcps1.3.2.4.2.3.1.2"><p id="mrs_01_0976__en-us_topic_0046736734_p13809081"><strong id="mrs_01_0976__b22381812581">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0976__en-us_topic_0046736734_row8735540"><td class="cellrowborder" valign="top" width="39.190000000000005%" headers="mcps1.3.2.4.2.3.1.1 "><p id="mrs_01_0976__en-us_topic_0046736734_p36490171">ERROR</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.809999999999995%" headers="mcps1.3.2.4.2.3.1.2 "><p id="mrs_01_0976__en-us_topic_0046736734_p2913837">Logs of this level record error information about system running.</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__en-us_topic_0046736734_row26224539"><td class="cellrowborder" valign="top" width="39.190000000000005%" headers="mcps1.3.2.4.2.3.1.1 "><p id="mrs_01_0976__en-us_topic_0046736734_p43812891">WARN</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.809999999999995%" headers="mcps1.3.2.4.2.3.1.2 "><p id="mrs_01_0976__en-us_topic_0046736734_p59183292">Logs of this level record exception information about the current event processing.</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__en-us_topic_0046736734_row62887584"><td class="cellrowborder" valign="top" width="39.190000000000005%" headers="mcps1.3.2.4.2.3.1.1 "><p id="mrs_01_0976__en-us_topic_0046736734_p60729557">INFO</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.809999999999995%" headers="mcps1.3.2.4.2.3.1.2 "><p id="mrs_01_0976__en-us_topic_0046736734_p20147070">Logs of this level record normal running status information about the system and events.</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__en-us_topic_0046736734_row47105906"><td class="cellrowborder" valign="top" width="39.190000000000005%" headers="mcps1.3.2.4.2.3.1.1 "><p id="mrs_01_0976__en-us_topic_0046736734_p57482021">DEBUG</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.809999999999995%" headers="mcps1.3.2.4.2.3.1.2 "><p id="mrs_01_0976__en-us_topic_0046736734_p25532096">Logs of this level record the system information and system debugging information.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_0976__en-us_topic_0046736734_p28462276">To modify log levels, perform the following operations:</p>
+<ol id="mrs_01_0976__ol181811550174911"><li id="mrs_01_0976__li10990288216"><span>Go to the <strong id="mrs_01_0976__b16254195616479">All Configurations</strong> page of the Yarn service by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</span></li><li id="mrs_01_0976__li4798125241916"><span>On the menu bar on the left, select the log menu of the target role.</span></li><li id="mrs_01_0976__li2798195281920"><span>Select a desired log level and save the configuration.</span><p><div class="note" id="mrs_01_0976__note82811787209"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_0976__p1828118818208">The Hive log level takes effect immediately after being configured. You do not need to restart the service.</p>
+</div></div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_0976__se5e516e522b84306a70d53ec87072c63"><h4 class="sectiontitle">Log Formats</h4><p id="mrs_01_0976__en-us_topic_0046736734_p46940727">The following table lists the Hive log formats:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_0976__en-us_topic_0046736734_table19813363" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Log formats</caption><thead align="left"><tr id="mrs_01_0976__en-us_topic_0046736734_row61370790"><th align="left" class="cellrowborder" valign="top" width="24.490000000000002%" id="mcps1.3.3.3.2.4.1.1"><p id="mrs_01_0976__en-us_topic_0046736734_p4978063">Log Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="35.709999999999994%" id="mcps1.3.3.3.2.4.1.2"><p id="mrs_01_0976__en-us_topic_0046736734_p569920">Format</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="39.800000000000004%" id="mcps1.3.3.3.2.4.1.3"><p id="mrs_01_0976__en-us_topic_0046736734_p46163554">Example</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_0976__en-us_topic_0046736734_row48260380"><td class="cellrowborder" valign="top" width="24.490000000000002%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_0976__en-us_topic_0046736734_p16776727">Run log</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.709999999999994%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_0976__en-us_topic_0046736734_p16737659">&lt;yyyy-MM-dd HH:mm:ss,SSS&gt;|&lt;LogLevel&gt;|&lt;Thread that generates the log&gt;|&lt;Message in the log&gt;|&lt;Location of the log event&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.800000000000004%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_0976__en-us_topic_0046736734_p13573102">2014-11-05 09:45:01,242 | INFO | main | Starting hive metastore on port 21088 |  org.apache.hadoop.hive.metastore.HiveMetaStore.main(HiveMetaStore.java:5198)</p>
+</td>
+</tr>
+<tr id="mrs_01_0976__en-us_topic_0046736734_row55049062"><td class="cellrowborder" valign="top" width="24.490000000000002%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_0976__en-us_topic_0046736734_p29789046">Audit log</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.709999999999994%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_0976__p474462551615">&lt;yyyy-MM-dd HH:mm:ss,SSS&gt;|&lt;LogLevel&gt;|&lt;Thread that generates the log&gt;|&lt;User Name&gt;&lt;User IP&gt;&lt;Time&gt;&lt;Operation&gt;&lt;Resource&gt;&lt;Result&gt;&lt;Detail &gt;|&lt; Location of the log event &gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.800000000000004%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_0976__p1372234391619">2018-12-24 12:16:25,319 | INFO  | HiveServer2-Handler-Pool: Thread-185 | UserName=hive  UserIP=10.153.2.204    Time=2018/12/24 12:16:25         Operation=CloseSession Result=SUCCESS  Detail= | org.apache.hive.service.cli.thrift.ThriftCLIService.logAuditEvent(ThriftCLIService.java:434)</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0977.html b/docs/mrs/component-operation-guide/mrs_01_0977.html
new file mode 100644
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+<a name="mrs_01_0977"></a><a name="mrs_01_0977"></a>
+
+<h1 class="topictitle1">Hive Performance Tuning</h1>
+<div id="body1590395285864"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_0978.html">Creating Table Partitions</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0979.html">Optimizing Join</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0980.html">Optimizing Group By</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0981.html">Optimizing Data Storage</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0982.html">Optimizing SQL Statements</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0983.html">Optimizing the Query Function Using Hive CBO</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0978.html b/docs/mrs/component-operation-guide/mrs_01_0978.html
new file mode 100644
index 000000000..13ac8b4d6
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0978.html
@@ -0,0 +1,28 @@
+<a name="mrs_01_0978"></a><a name="mrs_01_0978"></a>
+
+<h1 class="topictitle1">Creating Table Partitions</h1>
+<div id="body1590395285866"><div class="section" id="mrs_01_0978__s6f3b0ae5e79f4012bfdecd42e3888ad3"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0978__en-us_topic_0116526952_p33761356">During the Select query, Hive generally scans the entire table, which is time-consuming. To improve query efficiency, create table partitions based on service requirements and query dimensions.</p>
+</div>
+<div class="section" id="mrs_01_0978__s5123f1749faf4f1884fd2637a7e79e9d"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0978__ol67755492118"><li id="mrs_01_0978__li4153142615134"><span>For versions earlier than MRS 3.x:</span><p><p id="mrs_01_0978__p19982749101314">Log in to the MRS console. In the left navigation pane, choose <strong id="mrs_01_0978__b70516426953119">Clusters</strong> &gt; <strong id="mrs_01_0978__b150063815153119">Active Clusters</strong>, and click a cluster name. Choose <strong id="mrs_01_0978__b347431405019">Nodes</strong> &gt; <strong id="mrs_01_0978__b1498117389512">Node</strong>. The ECS page is displayed. Click <strong id="mrs_01_0978__b211098822753119">Remote Login</strong> to log in to the Hive node.</p>
+<p id="mrs_01_0978__p16511123201412">For MRS 3.<em id="mrs_01_0978__i715645912376">x</em> or later:</p>
+<p id="mrs_01_0978__p498213493133">Log in to the node where the Hive client has been installed as user <strong id="mrs_01_0978__b61542023103816">root</strong>.</p>
+</p></li><li id="mrs_01_0978__li1877512412216"><span>Run the following command to go to the client installation directory, for example, <strong id="mrs_01_0978__b232414713717">/opt</strong><strong id="mrs_01_0978__b12324373716"></strong><strong id="mrs_01_0978__b153241574712">/client</strong>.</span><p><p class="litext" id="mrs_01_0978__p206251581217"><strong id="mrs_01_0978__en-us_topic_0116526952_b10523083">cd /opt/client</strong></p>
+</p></li><li id="mrs_01_0978__li1577584162114"><span>Run the <strong id="mrs_01_0978__b19781449175211">source bigdata_env</strong> command to configure environment variables for the client.</span></li><li id="mrs_01_0978__li9775174142120"><span>Run the following command on the client for login:</span><p><p class="litext" id="mrs_01_0978__p1531231042117"><strong id="mrs_01_0978__a4952e7a738294f70b6f0d16a622aa4d3">kinit</strong> <em id="mrs_01_0978__abf4cdc2ed34c4e39b18842817e571752">Username</em></p>
+</p></li><li id="mrs_01_0978__li1477518472118"><span>Run the following command to log in to the client tool:</span><p><p class="litext" id="mrs_01_0978__p5110181211213"><strong id="mrs_01_0978__en-us_topic_0116526952_b48832851">beeline</strong></p>
+</p></li><li id="mrs_01_0978__li207768492120"><span>Select the static or dynamic partition.</span><p><ul id="mrs_01_0978__en-us_topic_0116526952_ul31450711"><li id="mrs_01_0978__en-us_topic_0116526952_li14620943">Static partition:<p id="mrs_01_0978__en-us_topic_0116526952_p64479624"><a name="mrs_01_0978__en-us_topic_0116526952_li14620943"></a><a name="en-us_topic_0116526952_li14620943"></a>Manually enter a partition name, and use the keyword <strong id="mrs_01_0978__b51419502533">PARTITIONED BY</strong> to specify partition column name and data type when creating a table. During application development, use the <strong id="mrs_01_0978__b1638164512548">ALTER TABLE ADD PARTITION</strong> statement to add a partition and use the <strong id="mrs_01_0978__b15890115115412">LOAD DATA INTO PARTITION</strong> statement to load data to the partition, which supports only static partitions.</p>
+</li><li id="mrs_01_0978__en-us_topic_0116526952_li25747420">Dynamic partition: Use a query command to insert results to a partition of a table. The partition can be a dynamic partition.<p id="mrs_01_0978__en-us_topic_0116526952_p30400195"><a name="mrs_01_0978__en-us_topic_0116526952_li25747420"></a><a name="en-us_topic_0116526952_li25747420"></a>The dynamic partition can be enabled on the client tool by running the following command:</p>
+<p id="mrs_01_0978__p11694950171614"><strong id="mrs_01_0978__b753426161711">set hive.exec.dynamic.partition=true</strong><strong id="mrs_01_0978__b77229510115">;</strong></p>
+<p id="mrs_01_0978__en-us_topic_0116526952_p46496694">The default mode of the dynamic partition is strict. That is, at least a column must be specified as a static partition, under which dynamic sub-partitions can be created. You can run the following command to enable a completely dynamic partition:</p>
+<p id="mrs_01_0978__p14171917171719"><strong id="mrs_01_0978__b16452142371716">set hive.exec.dynamic.partition.mode=nonstrict</strong><strong id="mrs_01_0978__b162313916114">;</strong></p>
+</li></ul>
+<div class="note" id="mrs_01_0978__en-us_topic_0116526952_note8135907"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0978__ul14713143051711"><li class="text" id="mrs_01_0978__li271363031719">The dynamic partition may cause a DML statement to create a large number of partitions and new mapping folders, which deteriorates system performance.</li><li id="mrs_01_0978__li1371314302172">If there are a large number of files, it takes a long time to run a SQL statement. You can run the <span class="parmname" id="mrs_01_0978__pd162c1f0ab4545d5b74a7b9f916436b0"><b>set mapreduce.input.fileinputformat.list-status.num-threads = 100;</b></span> statement before running a SQL statement to shorten the time. The parameter <span class="parmname" id="mrs_01_0978__p3050bfb0b39d4afab7d1b21de2fbe1fb"><b>mapreduce.input.fileinputformat.list-status.num-threads</b></span> can be set only after being added to the Hive whitelist.</li></ul>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0977.html">Hive Performance Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0979.html b/docs/mrs/component-operation-guide/mrs_01_0979.html
new file mode 100644
index 000000000..33fe6604a
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0979.html
@@ -0,0 +1,72 @@
+<a name="mrs_01_0979"></a><a name="mrs_01_0979"></a>
+
+<h1 class="topictitle1">Optimizing Join</h1>
+<div id="body1590395285868"><div class="section" id="mrs_01_0979__s1e3d5c93512e4a44a4753ffd8818b100"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0979__en-us_topic_0116526932_p46793998">When the Join statement is used, the command execution speed and query speed may be slow in case of large data volume. To resolve this problem, you can optimize Join.</p>
+<p id="mrs_01_0979__a8f3d23d43083483c90aa3ca4a41321f5">Join optimization can be classified into the following modes:</p>
+<ul id="mrs_01_0979__u0c7fdd75c8b2496bb4784f70ab0fbf94"><li id="mrs_01_0979__l300c4a803dea48e4ac5c0cf95ef23872">Map Join</li><li id="mrs_01_0979__l996b43f59b1445729e699f6f3ee7e28f">Sort Merge Bucket Map Join</li><li id="mrs_01_0979__l140d36a3e45b4686a2a46e4877fb05fe">Optimizing Join Sequences</li></ul>
+</div>
+<div class="section" id="mrs_01_0979__s9e402af7ba0e495a9a531a5b37837ae4"><h4 class="sectiontitle">Map Join</h4><p id="mrs_01_0979__en-us_topic_0116526932_p21522166">Hive Map Join applies to small tables (the table size is less than 25 MB) that can be stored in the memory. The table size can be defined using <span class="parmname" id="mrs_01_0979__p5ca64d25a4e14c6db49448ddf394baca"><b>hive.mapjoin.smalltable.filesize</b></span>, and the default table size is 25 MB.</p>
+<p id="mrs_01_0979__en-us_topic_0116526932_p59481773">Map Join has two methods:</p>
+<ul id="mrs_01_0979__en-us_topic_0116526932_ul65573909"><li id="mrs_01_0979__en-us_topic_0116526932_li53294272">Use /*+ MAPJOIN(join_table) */.</li><li id="mrs_01_0979__en-us_topic_0116526932_li9886408">Set the following parameter before running the statement. The default value is true in the current version.<p id="mrs_01_0979__p7769145715437"><a name="mrs_01_0979__en-us_topic_0116526932_li9886408"></a><a name="en-us_topic_0116526932_li9886408"></a><strong id="mrs_01_0979__b270812944415">set hive.auto.convert.join=true;</strong></p>
+</li></ul>
+<p id="mrs_01_0979__en-us_topic_0116526932_p62601592">There is no Reduce task when Map Join is used. Instead, a MapReduce Local Task is created before the Map job. The task uses TableScan to read small table data to the local computer, saves and writes the data in HashTable mode to a hard disk on the local computer, upload the data to DFS, and saves the data in distributed cache. The small table data that the map task reads from the local disk or distributed cache is the output together with the large table join result.</p>
+<p id="mrs_01_0979__en-us_topic_0116526932_p26543418">When using Map Join, make sure that the size of small tables cannot be too large. If small tables use up memory, the system performance will deteriorate and even memory leakage occurs.</p>
+</div>
+<div class="section" id="mrs_01_0979__s0cff3f0b1ef54bb6a241015906cf5aca"><h4 class="sectiontitle">Sort Merge Bucket Map Join</h4><p id="mrs_01_0979__en-us_topic_0116526932_p2533231">The following conditions must be met before using Sort Merge Bucket Map Join:</p>
+<ul id="mrs_01_0979__ul4700521124615"><li id="mrs_01_0979__li87011421134611">The two Join tables are large and cannot be stored in the memory.</li><li id="mrs_01_0979__li1970112124616">The two tables are bucketed (clustered by (column)) and sorted (sorted by(column)) according to the join key, and the buckets counts of the two tables are in integral multiple relationship.</li></ul>
+<p id="mrs_01_0979__en-us_topic_0116526932_p44643603">Set the following parameters to enable Sort Merge Bucket Map Join:</p>
+<p id="mrs_01_0979__p1974725613212"><strong id="mrs_01_0979__b1576617411319">set hive.optimize.bucketmapjoin=true;</strong></p>
+<p id="mrs_01_0979__p6747195615217"><strong id="mrs_01_0979__b779512415319">set hive.optimize.bucketmapjoin.sortedmerge=true;</strong></p>
+<p id="mrs_01_0979__en-us_topic_0116526932_p43603258">This type of Map Join does not have Reduce tasks too. A MapReduce Local Task is started before the Map job to read small table data by bucket to the local computer. The local computer saves the HashTable backup of multiple buckets and writes the backup into HDFS. The backup is also saved in the distributed cache. The small table data that the map task reads from the local disk or distributed cache by bucket is the output after mapping with the large table.</p>
+</div>
+<div class="section" id="mrs_01_0979__s849917becfe041ec81228a36805b7c35"><h4 class="sectiontitle">Optimizing Join Sequences</h4><p id="mrs_01_0979__a0c6a600027934f278f8341d48fbf2073">If the Join operation is to be performed on three or more tables and different Join sequences are used, the execution time will be greatly different. Using an appropriate Join sequence can shorten the time for task execution.</p>
+<p id="mrs_01_0979__en-us_topic_0116526932_p432662103113">Rules of a Join sequence:</p>
+<ul id="mrs_01_0979__u4ff338445b0f47629d5cfdc183b0fe7b"><li id="mrs_01_0979__l2edb22745d2b47a5b39fb8fe15c11ced">A table with small data volume or a combination with fewer results generated after a Join operation is executed first.</li><li id="mrs_01_0979__l94fe9fe79470499e9423bfe2a36483da">A table with large data volume or a combination with more results generated after a Join operation is executed later.</li></ul>
+<p id="mrs_01_0979__a3f4280c0f0b647c4bd9f0963012ee44c">For example, the <strong id="mrs_01_0979__b358310351354">customer</strong> table has the largest data volume, and fewer results will be generated if a Join operation is performed on the <strong id="mrs_01_0979__b736114115516">orders</strong> and <strong id="mrs_01_0979__b6761124318514">lineitem</strong> tables first.</p>
+<p id="mrs_01_0979__af276fe8a8a7d4b048a5dce606d8e5552">The original Join statement is as follows.</p>
+<pre class="screen" id="mrs_01_0979__screen191072410224">select
+  l_orderkey,
+  sum(l_extendedprice * (1 - l_discount)) as revenue,
+  o_orderdate,
+  o_shippriority
+from
+  <strong id="mrs_01_0979__b0107344221">customer,</strong>
+<strong id="mrs_01_0979__b1210716412229">  orders,</strong>
+<strong id="mrs_01_0979__b910724192211">  lineitem</strong>
+where
+  c_mktsegment = 'BUILDING'
+  and c_custkey = o_custkey
+  and l_orderkey = o_orderkey
+  and o_orderdate &lt; '1995-03-22'
+  and l_shipdate &gt; '1995-03-22'
+limit 10;</pre>
+<p id="mrs_01_0979__a359cd682da1f4c0a8936fa4c57d1cf39">After the sequence is optimized, the Join statements are as follows:</p>
+<pre class="screen" id="mrs_01_0979__s899f848538e94a668ee158ec318aca70">select
+  l_orderkey,
+  sum(l_extendedprice * (1 - l_discount)) as revenue,
+  o_orderdate,
+  o_shippriority
+from
+  <strong id="mrs_01_0979__a094fe23b773e44cd9b3b88ce42bad213">orders,</strong>
+<strong id="mrs_01_0979__ac95e0399c1814ad984de1e392ecf2e9d">  lineitem,</strong>
+<strong id="mrs_01_0979__af5764706ccca4af18340488245bd27f6">  customer</strong>
+where
+  c_mktsegment = 'BUILDING'
+  and c_custkey = o_custkey
+  and l_orderkey = o_orderkey
+  and o_orderdate &lt; '1995-03-22'
+  and l_shipdate &gt; '1995-03-22'
+limit 10;</pre>
+</div>
+<div class="section" id="mrs_01_0979__sc93c83c5f8944b80b8e0979ef41915c0"><h4 class="sectiontitle">Precautions</h4><p id="mrs_01_0979__en-us_topic_0116526932_p42202994"><strong id="mrs_01_0979__b212012269611">Join Data Skew Problem</strong></p>
+<p id="mrs_01_0979__en-us_topic_0116526932_p30123063">Data skew refers to the symptom that the task progress is 99% for a long time.</p>
+<p id="mrs_01_0979__en-us_topic_0116526932_p2672115">Data skew often exists because the data volume of a few Reduce tasks is much larger than that of others. Most Reduce tasks are complete while a few Reduce tasks are not complete.</p>
+<p id="mrs_01_0979__en-us_topic_0116526932_p24049039">To resolve the data skew problem, set <strong id="mrs_01_0979__b223418471667">hive.optimize.skewjoin=true</strong> and adjust the value of <strong id="mrs_01_0979__b563555615613">hive.skewjoin.key</strong>. <strong id="mrs_01_0979__b1121279573">hive.skewjoin.key</strong> specifies the maximum number of keys received by a Reduce task. If the number reaches the maximum, the keys are atomically distributed to other Reduce tasks.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0977.html">Hive Performance Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0980.html b/docs/mrs/component-operation-guide/mrs_01_0980.html
new file mode 100644
index 000000000..340751c6a
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0980.html
@@ -0,0 +1,21 @@
+<a name="mrs_01_0980"></a><a name="mrs_01_0980"></a>
+
+<h1 class="topictitle1">Optimizing Group By</h1>
+<div id="body1590395285869"><div class="section" id="mrs_01_0980__sbe95d3fca8ab4f4fb5a7d44ea588dcfd"><h4 class="sectiontitle">Scenario</h4><p class="msonormal" id="mrs_01_0980__en-us_topic_0116526945_p60811181">Optimize the Group by statement to accelerate the command execution and query speed.</p>
+<p class="msonormal" id="mrs_01_0980__en-us_topic_0116526945_p10429724">During the Group by operation, Map performs grouping and distributes the groups to Reduce; Reduce then performs grouping again. Group by optimization can be performed by enabling Map aggregation to reduce Map output data volume.</p>
+</div>
+<div class="section" id="mrs_01_0980__sd2566fa77945498dbbfc885b158460d8"><h4 class="sectiontitle">Procedure</h4><p class="msonormal" id="mrs_01_0980__en-us_topic_0116526945_p39501348">On a Hive client, set the following parameter:</p>
+<pre class="screen" id="mrs_01_0980__sad455a5d148042b8a7716f6eda647d45">set hive.map.aggr=true</pre>
+</div>
+<div class="section" id="mrs_01_0980__se282d7f385494aa6934d085f4482d184"><h4 class="sectiontitle">Precautions</h4><p class="msonormal" id="mrs_01_0980__en-us_topic_0116526945_p6780253"><strong id="mrs_01_0980__en-us_topic_0116526945_b61022284">Group By Data Skew</strong></p>
+<p class="msonormal" id="mrs_01_0980__en-us_topic_0116526945_p12329649">Group by have data skew problems. When hive.groupby.skewindata is set to true, the created query plan has two MapReduce jobs. The Map output result of the first job is randomly distributed to Reduce tasks, and each Reduce task performs aggregation operations and generates output result. Such processing may distribute the same Group By Key to different Reduce tasks for load balancing purpose. According to the preprocessing result, the second Job distributes Group By Key to Reduce to complete the final aggregation operation.</p>
+<p class="msonormal" id="mrs_01_0980__en-us_topic_0116526945_p43857981"><strong id="mrs_01_0980__en-us_topic_0116526945_b59177513">Count Distinct Aggregation Problem</strong></p>
+<p class="msonormal" id="mrs_01_0980__en-us_topic_0116526945_p62835574">When the aggregation function count distinct is used in deduplication counting, serious Reduce data skew occurs if the processed value is empty. The empty value can be processed independently. If count distinct is used, exclude the empty value using the where statement and increase the last count distinct result by 1. If there are other computing operations, process the empty value independently and then combine the value with other computing results.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0977.html">Hive Performance Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0981.html b/docs/mrs/component-operation-guide/mrs_01_0981.html
new file mode 100644
index 000000000..1e4c853a1
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0981.html
@@ -0,0 +1,21 @@
+<a name="mrs_01_0981"></a><a name="mrs_01_0981"></a>
+
+<h1 class="topictitle1">Optimizing Data Storage</h1>
+<div id="body1590395285872"><div class="section" id="mrs_01_0981__se52ab55815f94e24ac3bcd8ae53a32d6"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0981__en-us_topic_0116526923_p614804094853"><span class="parmname" id="mrs_01_0981__pdc739c0af81c44698c2110d83d0c4ed9"><b>ORC</b></span> is an efficient column storage format and has higher compression ratio and reading efficiency than other file formats.</p>
+<p id="mrs_01_0981__en-us_topic_0116526923_p610389289490">You are advised to use <span class="parmname" id="mrs_01_0981__p0695bd783aeb4c9888ebd49509bce7b8"><b>ORC</b></span> as the default Hive table storage format.</p>
+</div>
+<div class="section" id="mrs_01_0981__s77bfb61dbf8941c19cad009e5782b8dc"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_0981__a0176816d772f4b0a8dcb8f0b09897263">You have logged in to the Hive client. For details, see <a href="mrs_01_0952.html">Using a Hive Client</a>.</p>
+</div>
+<div class="section" id="mrs_01_0981__s14bc77cb81224b80ac669a9985c173f9"><h4 class="sectiontitle">Procedure</h4><ul id="mrs_01_0981__u0112b0664a8d410aa5319e3c9226106f"><li id="mrs_01_0981__l43da6b63d93841d083ab77424d5456be">Recommended: <span class="parmname" id="mrs_01_0981__p1524ac2ea87347de8342baeac52b6c28"><b>SNAPPY</b></span> compression, which applies to scenarios with even compression ratio and reading efficiency requirements.<p id="mrs_01_0981__p56876141969"><strong id="mrs_01_0981__b1181522013615">Create table <em id="mrs_01_0981__i1668711147610">xx</em> <em id="mrs_01_0981__i968710141062">(col_name data_type)</em> stored as orc tblproperties ("orc.compress"="SNAPPY")</strong><strong id="mrs_01_0981__b113971840269">;</strong></p>
+</li><li id="mrs_01_0981__li1356136061">Available: <span class="parmname" id="mrs_01_0981__parmname17562061368"><b>ZLIB</b></span> compression, which applies to scenarios with high compression ratio requirements.<p id="mrs_01_0981__p14746131719619"><strong id="mrs_01_0981__b43111623666">Create table <em id="mrs_01_0981__i1974617171066">xx</em> <em id="mrs_01_0981__i107465171161">(col_name data_type)</em> stored as orc tblproperties ("orc.compress"="ZLIB")</strong><strong id="mrs_01_0981__b9105123610610">;</strong></p>
+</li></ul>
+<div class="note" id="mrs_01_0981__n2160dcf10f3b46f294bf30a296290c2c"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0981__a7aaa618ca48542ebb3e6db516c1ac81e"><em id="mrs_01_0981__i1643043219126">xx</em> indicates the specific Hive table name.</p>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0977.html">Hive Performance Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0982.html b/docs/mrs/component-operation-guide/mrs_01_0982.html
new file mode 100644
index 000000000..ffbff86a2
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0982.html
@@ -0,0 +1,80 @@
+<a name="mrs_01_0982"></a><a name="mrs_01_0982"></a>
+
+<h1 class="topictitle1">Optimizing SQL Statements</h1>
+<div id="body1590395285873"><div class="section" id="mrs_01_0982__section54613993212"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0982__p3461139163215">When SQL statements are executed on Hive, if the <span class="parmname" id="mrs_01_0982__p2195a583a20f4de89c794e8089af52da"><b>(a&amp;b) or (a&amp;c)</b></span> logic exists in the statements, you are advised to change the logic to <span class="parmname" id="mrs_01_0982__p20135311881549babc02a2f6bb15e8bc"><b>a &amp; (b or c)</b></span>.</p>
+</div>
+<div class="section" id="mrs_01_0982__section54619912329"><h4 class="sectiontitle">Example</h4><p id="mrs_01_0982__p124611917324">If condition a is <span class="parmvalue" id="mrs_01_0982__p5eff0f20e43642dbaf429777f5716bf9"><b>p_partkey = l_partkey</b></span>, the statements before optimization are as follows:</p>
+<pre class="screen" id="mrs_01_0982__screen20461139153215">select
+        sum(l_extendedprice* (1 - l_discount)) as revenue
+from
+        lineitem,
+        part
+where   
+        (
+                <strong id="mrs_01_0982__b24613933211">p_partkey = l_partkey </strong>
+                and p_brand = 'Brand#32'
+                and p_container in ('SM CASE', 'SM BOX', 'SM PACK', 'SM PKG')
+                and l_quantity &gt;= 7 and l_quantity &lt;= 7 + 10
+                and p_size between 1 and 5
+                and l_shipmode in ('AIR', 'AIR REG')
+                and l_shipinstruct = 'DELIVER IN PERSON'
+        )
+        or
+        (       <strong id="mrs_01_0982__b74611297322">p_partkey = l_partkey</strong> 
+                and p_brand = 'Brand#35'
+                and p_container in ('MED BAG', 'MED BOX', 'MED PKG', 'MED PACK')
+                and l_quantity &gt;= 15 and l_quantity &lt;= 15 + 10
+                and p_size between 1 and 10
+                and l_shipmode in ('AIR', 'AIR REG')
+                and l_shipinstruct = 'DELIVER IN PERSON'
+        )
+        or
+        (       <strong id="mrs_01_0982__b134629973216">p_partkey = l_partkey</strong> 
+                and p_brand = 'Brand#24'
+                and p_container in ('LG CASE', 'LG BOX', 'LG PACK', 'LG PKG')
+                and l_quantity &gt;= 26 and l_quantity &lt;= 26 + 10
+                and p_size between 1 and 15
+                and l_shipmode in ('AIR', 'AIR REG')
+                and l_shipinstruct = 'DELIVER IN PERSON'
+        )</pre>
+<p id="mrs_01_0982__p11462198321">The statements after optimization are as follows:</p>
+<pre class="screen" id="mrs_01_0982__screen1946213983214">select
+        sum(l_extendedprice* (1 - l_discount)) as revenue
+from
+        lineitem,
+        part
+where  <strong id="mrs_01_0982__b1146217983216"> p_partkey = l_partkey</strong> and
+        ((
+                p_brand = 'Brand#32'
+                and p_container in ('SM CASE', 'SM BOX', 'SM PACK', 'SM PKG')
+                and l_quantity &gt;= 7 and l_quantity &lt;= 7 + 10
+                and p_size between 1 and 5
+                and l_shipmode in ('AIR', 'AIR REG')
+                and l_shipinstruct = 'DELIVER IN PERSON'
+        )
+        or
+        (
+                p_brand = 'Brand#35'
+                and p_container in ('MED BAG', 'MED BOX', 'MED PKG', 'MED PACK')
+                and l_quantity &gt;= 15 and l_quantity &lt;= 15 + 10
+                and p_size between 1 and 10
+                and l_shipmode in ('AIR', 'AIR REG')
+                and l_shipinstruct = 'DELIVER IN PERSON'
+        )
+        or
+        (
+                p_brand = 'Brand#24'
+                and p_container in ('LG CASE', 'LG BOX', 'LG PACK', 'LG PKG')
+                and l_quantity &gt;= 26 and l_quantity &lt;= 26 + 10
+                and p_size between 1 and 15
+                and l_shipmode in ('AIR', 'AIR REG')
+                and l_shipinstruct = 'DELIVER IN PERSON'
+        ))</pre>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0977.html">Hive Performance Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_0983.html b/docs/mrs/component-operation-guide/mrs_01_0983.html
new file mode 100644
index 000000000..7a26b6eb2
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_0983.html
@@ -0,0 +1,41 @@
+<a name="mrs_01_0983"></a><a name="mrs_01_0983"></a>
+
+<h1 class="topictitle1">Optimizing the Query Function Using Hive CBO</h1>
+<div id="body1590395285876"><div class="section" id="mrs_01_0983__section7297162516331"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_0983__p19297112593315">When joining multiple tables in Hive, Hive supports Cost-Based Optimization (CBO). The system automatically selects the optimal plan based on the table statistics, such as the data volume and number of files, to improve the efficiency of joining multiple tables. Hive needs to collect table statistics before CBO optimization.</p>
+<div class="note" id="mrs_01_0983__note172971325123310"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0983__ul12971325113310"><li id="mrs_01_0983__li7297122543316">The CBO optimizes the joining sequence based on statistics and search criteria. However, the joining sequence may fail to be optimized in some special scenarios, such as data skew occurs and query condition values are not in the table.</li><li id="mrs_01_0983__li429702533312">When column statistics collection is enabled, Reduce operations must be performed for aggregation. For insert tasks without the Reduce phase, Reduce operations will be performed to collect statistics. </li><li id="mrs_01_0983__li10279193213345">This section applies to MRS 3.<em id="mrs_01_0983__i166187151806">x</em> or later clusters.</li></ul>
+</div></div>
+</div>
+<div class="section" id="mrs_01_0983__section7297122514331"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_0983__p1129742523314">You have logged in to the Hive client. For details, see <a href="mrs_01_0952.html">Using a Hive Client</a>.</p>
+</div>
+<div class="section" id="mrs_01_0983__section78264215339"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_0983__ol4297192513337"><li id="mrs_01_0983__li3297925193318"><span>On the Manager UI, search for the <span class="parmname" id="mrs_01_0983__parmname529716258336"><b>hive.cbo.enable</b></span> parameter in the service configuration of the Hive component, and select <span class="parmvalue" id="mrs_01_0983__parmvalue5297182543320"><b>true</b></span> to enable the function permanently.</span></li><li id="mrs_01_0983__li8297122511335"><span>Collect statistics about the existing data in Hive tables manually.</span><p><p id="mrs_01_0983__p14297425183315">Run the following command to manually collect statistics: Statistics about only one table can be collected. If statistics about multiple tables need to be collected, the command needs to be executed repeatedly.</p>
+<p id="mrs_01_0983__p132981025133310"><strong id="mrs_01_0983__b1298725193313">ANALYZE TABLE [db_name.]tablename [PARTITION(partcol1[=val1], partcol2[=val2], ...)]</strong></p>
+<p id="mrs_01_0983__p92989251339"><strong id="mrs_01_0983__b18298625173313">COMPUTE STATISTICS</strong></p>
+<p id="mrs_01_0983__p112981725123316"><strong id="mrs_01_0983__b32982025153313">[FOR COLUMNS]</strong></p>
+<p id="mrs_01_0983__p729892520334"><strong id="mrs_01_0983__b172982025143313">[NOSCAN];</strong></p>
+<div class="note" id="mrs_01_0983__note16298152523312"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0983__ul162982257333"><li id="mrs_01_0983__li12298825193316">When <strong id="mrs_01_0983__b1915152132218">FOR COLUMNS</strong> is specified, column-level statistics are collected.</li><li id="mrs_01_0983__li929882513332">When NOSCAN is specified, statistics about the file size and number of files will be collected, but specific files will not be scanned.</li></ul>
+</div></div>
+<p id="mrs_01_0983__p129810252335">For example:</p>
+<p id="mrs_01_0983__p182981425113315"><strong id="mrs_01_0983__b6298525113311">analyze table table_name compute statistics;</strong></p>
+<p id="mrs_01_0983__p14298152593317"><strong id="mrs_01_0983__b829812514339">analyze table table_name compute statistics for columns;</strong></p>
+</p></li><li id="mrs_01_0983__li16298025133311"><span>Configure the automatic statistics collection function of Hive. After the function is enabled, new statistics will be collected only when you insert data by running the <strong id="mrs_01_0983__b158345122419">insert overwrite/into</strong> command.</span><p><ul id="mrs_01_0983__ul13299192513310"><li id="mrs_01_0983__li729972573317">Run the following commands on the Hive client to enable the statistics collection function temporarily:<p id="mrs_01_0983__p92991025133311"><a name="mrs_01_0983__li729972573317"></a><a name="li729972573317"></a><strong id="mrs_01_0983__en-us_topic_0116526959_b803579115218">set hive.stats.autogather = true;</strong> enables the automatic collection of table/partition-level statistics.</p>
+<p id="mrs_01_0983__p02999253335"><strong id="mrs_01_0983__en-us_topic_0116526959_b293848815218">set hive.stats.column.autogather = true;</strong> enables the automatic collection of column-level statistics.</p>
+<div class="note" id="mrs_01_0983__note8299825163314"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_0983__ul16299172543312"><li id="mrs_01_0983__li1729942553314">The column-level statistics collection does not support complex data types, such as Map and Struct. </li><li id="mrs_01_0983__li829972515332">The automatic table-level statistics collection does not support Hive on HBase tables.</li></ul>
+</div></div>
+</li></ul>
+<ul id="mrs_01_0983__ul7299325193310"><li id="mrs_01_0983__li9299122516330">On the Manager UI, search for the <span class="parmname" id="mrs_01_0983__pf4004df6eaac465599b2f6fc8bd8da21"><b>hive.stats.autogather</b></span> and <span class="parmname" id="mrs_01_0983__p0a4a4c0efd4a47e1975b6998556c3f67"><b>hive.stats.column.autogather</b></span> parameters in the service configuration of Hive, and select <strong id="mrs_01_0983__b1832475022617">true</strong> to enable the collection function permanently.</li></ul>
+</p></li><li id="mrs_01_0983__li183005258337"><span>Run the following command to view statistics:</span><p><p id="mrs_01_0983__p6300122518338"><strong id="mrs_01_0983__b1430012543311">DESCRIBE FORMATTED table_name[.column_name] PARTITION partition_spec;</strong></p>
+<p id="mrs_01_0983__p163005259335">For example:</p>
+<p id="mrs_01_0983__p730042593311"><strong id="mrs_01_0983__b330010259335">desc formatted table_name;</strong></p>
+<p id="mrs_01_0983__p11300825153311"><strong id="mrs_01_0983__b1230052517338">desc formatted table_name id;</strong></p>
+<p id="mrs_01_0983__p193001125163311"><strong id="mrs_01_0983__b20300625153316">desc formatted table_name partition(time='2016-05-27');</strong></p>
+<div class="note" id="mrs_01_0983__note103001325123315"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_0983__p12300102517339">Partition tables only support partition-level statistics collection, so you must specify partitions to query statistics for partition tables.</p>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0977.html">Hive Performance Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1009.html b/docs/mrs/component-operation-guide/mrs_01_1009.html
new file mode 100644
index 000000000..74a880f7b
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1009.html
@@ -0,0 +1,37 @@
+<a name="mrs_01_1009"></a><a name="mrs_01_1009"></a>
+
+<h1 class="topictitle1">Configuring Secure HBase Replication</h1>
+<div id="body1590128863822"><div class="section" id="mrs_01_1009__sf925fa55729e4e54b6c12b09724fdb67"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1009__a6afe2c54a73c4e04b800da885d9e6ef3">This topic provides the procedure to configure the secure HBase replication during cross-realm Kerberos setup in security mode.</p>
+</div>
+<div class="section" id="mrs_01_1009__see2d3ce34aac434495e283a5c9600f93"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1009__ul1464794315418"><li id="mrs_01_1009__li17647174311417">Mapping for all the FQDNs to their realms should be defined in the Kerberos configuration file.</li><li id="mrs_01_1009__li4647194344119">The passwords and keytab files of <strong id="mrs_01_1009__b85525340509">ONE.COM</strong> and <strong id="mrs_01_1009__b7207193725012">TWO.COM</strong> must be the same.</li></ul>
+</div>
+<div class="section" id="mrs_01_1009__s0f66bbc85d194811ac5468fd6d4e1927"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1009__o3ad90f38ba0c452ab6512878238c1878"><li id="mrs_01_1009__l3b75b6974dcc4308b00ec5cd26223b79"><span>Create krbtgt principals for the two realms.</span><p><p id="mrs_01_1009__ab82321a695a044258388f27ad370f38d">For example, if you have two realms called <strong id="mrs_01_1009__b13233190123311">ONE.COM</strong> and <strong id="mrs_01_1009__b171641734336">TWO.COM</strong>, you need to add the following principals: <strong id="mrs_01_1009__b1456151173315">krbtgt/ONE.COM@TWO.COM</strong> and <strong id="mrs_01_1009__b87140132333">krbtgt/TWO.COM@ONE.COM</strong>.</p>
+<p id="mrs_01_1009__a7bfdc600086a46d0abf3f1ece1395d89">Add these two principals at both realms.</p>
+<pre class="screen" id="mrs_01_1009__sf0da09c1a9ce4d29a4518589e67935e4">kadmin: addprinc -e "&lt;enc_type_list&gt;" krbtgt/ONE.COM@TWO.COM
+kadmin: addprinc -e "&lt;enc_type_list&gt;" krbtgt/TWO.COM@ONE.COM</pre>
+<div class="note" id="mrs_01_1009__n30abbdc3c24d4cc9a8d75fb2051bb33e"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1009__a7aaccd16c07145d18391f91fd3796bde">There must be at least one common keytab mode between these two realms.</p>
+</div></div>
+</p></li><li id="mrs_01_1009__l23b1c5c065f84adf8a7965ec7a44fbf8"><span>Add rules for creating short names in Zookeeper.</span><p><div class="p" id="mrs_01_1009__en-us_topic_0039590248_p71517310124"><strong id="mrs_01_1009__b114285231783">Dzookeeper.security.auth_to_local</strong> is a parameter of the ZooKeeper server process. Following is an example rule that illustrates how to add support for the realm called <strong id="mrs_01_1009__b1682013513710">ONE.COM</strong>. The principal has two members (such as <strong id="mrs_01_1009__b1852171912374">service/instance@ONE.COM</strong>).<pre class="screen" id="mrs_01_1009__sce5597c1a9ae435d93354a6913349750">Dzookeeper.security.auth_to_local=RULE:[2:\$1@\$0](.*@\\QONE.COM\\E$)s/@\\QONE.COM\\E$//DEFAULT</pre>
+</div>
+<p id="mrs_01_1009__a67597ba3f5a6414f9187fb2f3dbfd361">The above code example adds support for the <strong id="mrs_01_1009__b425191718396">ONE.COM</strong> realm in a different realm. Therefore, in the case of replication, you must add a rule for the master cluster realm in the slave cluster realm. <strong id="mrs_01_1009__b93812049132414">DEFAULT</strong> is for defining the default rule.</p>
+</p></li><li id="mrs_01_1009__lbd6702663be74ba0bdf29b9862adc776"><span>Add rules for creating short names in the Hadoop processes.</span><p><p id="mrs_01_1009__a1e532d64d8ff4dd4bcef3ae90b587986">The following is the <strong id="mrs_01_1009__b9273111394517">hadoop.security.auth_to_local</strong> property in the <span class="filepath" id="mrs_01_1009__fff6628700cd0410ab171c9e1dc31abaf"><b>core-site.xml</b></span> file in the slave cluster HBase processes. For example, to add support for the <strong id="mrs_01_1009__b15108052174716">ONE.COM</strong> realm:</p>
+<pre class="screen" id="mrs_01_1009__s76981716dfed4ea3bfbe1fa4e2e369d2">&lt;property&gt;
+&lt;name&gt;hadoop.security.auth_to_local&lt;/name&gt;
+&lt;value&gt;RULE:[2:$1@$0](.*@\QONE.COM\E$)s/@\QONE.COM\E$//DEFAULT&lt;/value&gt;
+&lt;/property&gt;</pre>
+<div class="note" id="mrs_01_1009__n203dcde46277498c8a5702f623fd8f44"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1009__aaa5d89e53aa0486bbd244c90c36fa77b">If replication for bulkload data is enabled, then the same property for supporting the slave realm needs to be added in the <span class="filepath" id="mrs_01_1009__f0c18580d2dee40e4983a5d0b147560bb"><b>core-site.xml</b></span> file in the master cluster HBase processes.</p>
+<p id="mrs_01_1009__aa665f93a144e4f7bbeaeae0a9cb37861">Example:</p>
+<pre class="screen" id="mrs_01_1009__s01499eab7fa64df8a0a42a717f974259">&lt;property&gt;
+&lt;name&gt;hadoop.security.auth_to_local&lt;/name&gt;
+&lt;value&gt;RULE:[2:$1@$0](.*@\QTWO.COM\E$)s/@\QTWO.COM\E$//DEFAULT&lt;/value&gt;
+&lt;/property&gt;</pre>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0500.html">Using HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1010.html b/docs/mrs/component-operation-guide/mrs_01_1010.html
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+<a name="mrs_01_1010"></a><a name="mrs_01_1010"></a>
+
+<h1 class="topictitle1">Configuring Region In Transition Recovery Chore Service</h1>
+<div id="body1590128863823"><div class="section" id="mrs_01_1010__sf3aa6e3bd8f945dda47700b138add28e"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1010__aa834b6246cd74b83a7ccec6b034e3b03">In a faulty environment, there are possibilities that a region may be stuck in transition for longer duration due to various reasons like slow region server response, unstable network, ZooKeeper node version mismatch. During region transition, client operation may not work properly as some regions will not be available.</p>
+</div>
+<div class="section" id="mrs_01_1010__s5ad067f7c41a455b85959f0e275b8c78"><h4 class="sectiontitle">Configuration</h4><p id="mrs_01_1010__a637c60879335425ea35309acb378ff00">A chore service should be scheduled at HMaster to identify and recover regions that stay in the transition state for a long time.</p>
+</div>
+<p id="mrs_01_1010__aa0258798a8514778b99b650bff1f677c">The following table describes the parameters for enabling this function.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1010__ted7e55a4668d4d859d071d1cc534371f" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters</caption><thead align="left"><tr id="mrs_01_1010__r969d85ba0fe5460eab875f04673c4606"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.4.2.4.1.1"><p id="mrs_01_1010__af01cbb437fbe478fa7f7267dd28463b4">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.4.2.4.1.2"><p id="mrs_01_1010__a187de7e1582740848fc4b594c0522f1a">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.4.2.4.1.3"><p id="mrs_01_1010__aa33c7127d2de402c974f0305ec6adf92">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1010__r1a79c73b57294f27bdd329e7a71455a2"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.4.1.1 "><p id="mrs_01_1010__adb5c231a0f9642628548440c0c1e3f85">hbase.region.assignment.auto.recovery.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.4.1.2 "><p id="mrs_01_1010__ab9433ee8069e43448c249fae089dd120">Configuration parameter used to enable/disable the region assignment recovery thread feature.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.4.1.3 "><p id="mrs_01_1010__ad9505c5e0fbd446bace35224692905f4">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0500.html">Using HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1013.html b/docs/mrs/component-operation-guide/mrs_01_1013.html
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+<a name="mrs_01_1013"></a><a name="mrs_01_1013"></a>
+
+<h1 class="topictitle1">HBase Performance Tuning</h1>
+<div id="body1590128863831"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1636.html">Improving the BulkLoad Efficiency</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1637.html">Improving Put Performance</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1016.html">Optimizing Put and Scan Performance</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1017.html">Improving Real-time Data Write Performance</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1018.html">Improving Real-time Data Read Performance</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1019.html">Optimizing JVM Parameters</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0500.html">Using HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1016.html b/docs/mrs/component-operation-guide/mrs_01_1016.html
new file mode 100644
index 000000000..22f63f34c
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1016.html
@@ -0,0 +1,137 @@
+<a name="mrs_01_1016"></a><a name="mrs_01_1016"></a>
+
+<h1 class="topictitle1">Optimizing Put and Scan Performance</h1>
+<div id="body1590128863840"><div class="section" id="mrs_01_1016__s01cbaaba52c74e3e8e8ae2f8865c5d48"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1016__add2a10b2d841405fb14d1ca24db6c927">HBase has many configuration parameters related to read and write performance. The configuration parameters need to be adjusted based on the read/write request loads. This section describes how to optimize read and write performance by modifying the RegionServer configurations.</p>
+<div class="note" id="mrs_01_1016__note3659121463219"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1016__p136601141326">This section applies to MRS 3.<em id="mrs_01_1016__i10688851183418">x</em> and later versions.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1016__s791bed07f8ba44bb82fc935de063d0f8"><h4 class="sectiontitle">Procedure</h4><ul id="mrs_01_1016__u75b98520bec44fbca64ff00027c643c9"><li id="mrs_01_1016__l1ec3314c2b0b4bdf8bfe9859e34e0d3f">JVM GC parameters<p id="mrs_01_1016__a56ef94372ba5400fa02bf2e9ebbce23f"><a name="mrs_01_1016__l1ec3314c2b0b4bdf8bfe9859e34e0d3f"></a><a name="l1ec3314c2b0b4bdf8bfe9859e34e0d3f"></a>Suggestions on setting the RegionServer <strong id="mrs_01_1016__b543125213524">GC_OPTS</strong> parameter:</p>
+<ul id="mrs_01_1016__uc8632e55ae474485827d99e6ffa64070"><li id="mrs_01_1016__l4b1433aef43f41c1963fe418b68cee2a">Set <strong id="mrs_01_1016__b12627193913196">-Xms</strong> and <strong id="mrs_01_1016__b22856462197">-Xmx</strong> to the same value based on your needs. Increasing the memory can improve the read and write performance. For details, see the description of <span class="parmname" id="mrs_01_1016__pa3bbacd301814c95ab1a6137964fdcb8"><b>hfile.block.cache.size</b></span> in <a href="#mrs_01_1016__tcd04a4cfd9f94a80a47de3ccb824175e">Table 2</a> and <span class="parmname" id="mrs_01_1016__p80d2b150ddc84c08a48f4e6bc8d2c01b"><b>hbase.regionserver.global.memstore.size</b></span> in <a href="#mrs_01_1016__t5194159aa9d34637bba4cdd0aa3b925e">Table 1</a>.</li><li id="mrs_01_1016__le82eb8249dd848c080e7d6686d8a91be">Set <strong id="mrs_01_1016__b20157530172119">-XX:NewSize</strong> and <strong id="mrs_01_1016__b2453103411219">-XX:MaxNewSize</strong> to the same value. You are advised to set the value to <span class="parmvalue" id="mrs_01_1016__p7158ff695134478da0971f0645cc8b4a"><b>512M</b></span> in low-load scenarios and <span class="parmvalue" id="mrs_01_1016__pd4b608bf27884f499c6ba5c7085a10a1"><b>2048M</b></span> in high-load scenarios.</li><li id="mrs_01_1016__l9abb296cb8dd401a914066bfe8c6b6a7">Set <strong id="mrs_01_1016__b239712732219">X-XX:CMSInitiatingOccupancyFraction</strong> to be less than and equal to 90, and it is calculated as follows: <span class="parmvalue" id="mrs_01_1016__pae9f0ff16ad5497eb3cd21fc27356b47"><b>100 x (hfile.block.cache.size + hbase.regionserver.global.memstore.size + 0.05)</b></span>.</li><li id="mrs_01_1016__l251db2fd119c4ac5b031df65824ab34e"><strong id="mrs_01_1016__b142401015152319">-XX:MaxDirectMemorySize</strong> indicates the non-heap memory used by the JVM. You are advised to set this parameter to <span class="parmvalue" id="mrs_01_1016__pc9deb46c6c2944039abe88181e3a5943"><b>512M</b></span> in low-load scenarios and <span class="parmvalue" id="mrs_01_1016__p5173147a62b94f989940f2fa115a636e"><b>2048M</b></span> in high-load scenarios.<div class="note" id="mrs_01_1016__note53166321445"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1016__p7316332740">The <strong id="mrs_01_1016__b1577112416314">-XX:MaxDirectMemorySize</strong> parameter is not used by default. If you need to set this parameter, add it to the <strong id="mrs_01_1016__b120913361318">GC_OPTS</strong> parameter.</p>
+</div></div>
+</li></ul>
+</li><li id="mrs_01_1016__l43fa75c3ea6f4e0c91ca178e763e26ff">Put parameters<p id="mrs_01_1016__ac6376f5299e140cfb8ac6ba46f972dfb"><a name="mrs_01_1016__l43fa75c3ea6f4e0c91ca178e763e26ff"></a><a name="l43fa75c3ea6f4e0c91ca178e763e26ff"></a>RegionServer processes the data of the put request and writes the data to memstore and HLog.</p>
+<ul id="mrs_01_1016__u21c2cccb836a42378b423243339f9625"><li id="mrs_01_1016__lc594a78de1c9405799c8bd1250130512">When the size of memstore reaches the value of <strong id="mrs_01_1016__b1469463073215">hbase.hregion.memstore.flush.size</strong>, memstore is updated to HDFS to generate HFiles.</li><li id="mrs_01_1016__l5e12b8ffc1014daeade5e656a5036cc1">Compaction is triggered when the number of HFiles in the column cluster of the current region reaches the value of <strong id="mrs_01_1016__b882413139335">hbase.hstore.compaction.min</strong>.</li><li id="mrs_01_1016__l6888c669858041508af7f30a5aaa8954">If the number of HFiles in the column cluster of the current region reaches the value of <strong id="mrs_01_1016__b73441345183318">hbase.hstore.blockingStoreFiles</strong>, the operation of refreshing the memstore and generating HFiles is blocked. As a result, the put request is blocked.</li></ul>
+
+<div class="tablenoborder"><a name="mrs_01_1016__t5194159aa9d34637bba4cdd0aa3b925e"></a><a name="t5194159aa9d34637bba4cdd0aa3b925e"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1016__t5194159aa9d34637bba4cdd0aa3b925e" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Put parameters</caption><thead align="left"><tr id="mrs_01_1016__r33e2279720804d899aefd7358dea8168"><th align="left" class="cellrowborder" valign="top" width="36.01%" id="mcps1.3.2.2.2.3.2.4.1.1"><p id="mrs_01_1016__aa99e068c0f4044119409a260c47cf3a3"><strong id="mrs_01_1016__a435169c99d9b40c8922cd553f384ebc0">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="40.910000000000004%" id="mcps1.3.2.2.2.3.2.4.1.2"><p id="mrs_01_1016__a432d9dbf9cc948b3984a3ad74bc8b5df"><strong id="mrs_01_1016__a243a0d05ee3b4216aedc08bbc44f09d1">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="23.080000000000002%" id="mcps1.3.2.2.2.3.2.4.1.3"><p id="mrs_01_1016__a560ba539815a4934a22f96c82c0599ed"><strong id="mrs_01_1016__a7ffa0beba70c4cfa81138867eddddf62">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1016__r1f5ac5dd7eba406bab7ba0bd1447289d"><td class="cellrowborder" valign="top" width="36.01%" headers="mcps1.3.2.2.2.3.2.4.1.1 "><p id="mrs_01_1016__a29122d6ce31a43be91286e551fba13fa">hbase.wal.hsync</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.910000000000004%" headers="mcps1.3.2.2.2.3.2.4.1.2 "><p id="mrs_01_1016__a2d43a193efc7477390758860bce8165d">Indicates whether each WAL is persistent to disks.</p>
+<p id="mrs_01_1016__af568fafb23df437c9224b074d930b316">For details, see <a href="mrs_01_1637.html">Improving Put Performance</a>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.080000000000002%" headers="mcps1.3.2.2.2.3.2.4.1.3 "><p id="mrs_01_1016__a929d321235014e1fa9ddb536248d9774">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1016__re07840c9160c4019aac121172c076eb8"><td class="cellrowborder" valign="top" width="36.01%" headers="mcps1.3.2.2.2.3.2.4.1.1 "><p id="mrs_01_1016__a16f1184ce657494db29daad4f8ca6b04">hbase.hfile.hsync</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.910000000000004%" headers="mcps1.3.2.2.2.3.2.4.1.2 "><p id="mrs_01_1016__aa3a1984cd0934af1ad3bda63ec0ec802">Indicates whether HFile write operations are persistent to disks.</p>
+<p id="mrs_01_1016__aecfdc801c1504d89ae86bd1cb64eec9b">For details, see <a href="mrs_01_1637.html">Improving Put Performance</a>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.080000000000002%" headers="mcps1.3.2.2.2.3.2.4.1.3 "><p id="mrs_01_1016__aa7de7ec018b24fcfa301995828325a17">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1016__r345573f3da6f4295a807300d433b5c2e"><td class="cellrowborder" valign="top" width="36.01%" headers="mcps1.3.2.2.2.3.2.4.1.1 "><p id="mrs_01_1016__ab5187978928447a9be56dee2885ec19f"><span id="mrs_01_1016__pc876a1cd0afe4d43997b8aeffb2e721b">hbase.hregion.memstore.flush.size</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="40.910000000000004%" headers="mcps1.3.2.2.2.3.2.4.1.2 "><p id="mrs_01_1016__p1911713718566">If the size of MemStore (unit: Byte) exceeds a specified value, MemStore is flushed to the corresponding disk. The value of this parameter is checked by each thread running <strong id="mrs_01_1016__b1440410251230">hbase.server.thread.wakefrequency</strong>. <span id="mrs_01_1016__ph196928346454710">It is recommended that you set this parameter to an integer multiple of the HDFS block size. You can increase the value if the memory is sufficient and the put load is heavy.</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="23.080000000000002%" headers="mcps1.3.2.2.2.3.2.4.1.3 "><p id="mrs_01_1016__a1ea761bb6f224c4a9b6b4737ca196e54"><span id="mrs_01_1016__pf0afc7c9ddc844babaa0dda5b80623c8">134217728</span></p>
+</td>
+</tr>
+<tr id="mrs_01_1016__r0063512543004e2cb12123d0e7d34e54"><td class="cellrowborder" valign="top" width="36.01%" headers="mcps1.3.2.2.2.3.2.4.1.1 "><p id="mrs_01_1016__a509c44dcea0b48018f5cd79c16fc5a29"><span id="mrs_01_1016__pf63ace0a4fb54097a70297e8f151f313">hbase.regionserver.global.memstore.size</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="40.910000000000004%" headers="mcps1.3.2.2.2.3.2.4.1.2 "><p id="mrs_01_1016__a75d5eee892374c168502d989253a55cc">Updates the size of all MemStores supported by the RegionServer before locking or forcible flush. It is recommended that you set this parameter to <span class="parmvalue" id="mrs_01_1016__p951f2bb3e64446cca878a6496095ea29"><b>hbase.hregion.memstore.flush.size x Number of regions with active writes/RegionServer GC -Xmx</b></span>. The default value is <strong id="mrs_01_1016__b842352706215330">0.4</strong>, indicating that 40% of RegionServer GC -Xmx is used.</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.080000000000002%" headers="mcps1.3.2.2.2.3.2.4.1.3 "><p id="mrs_01_1016__af86698b768634d0392f9ec0834d25cf7">0.4</p>
+</td>
+</tr>
+<tr id="mrs_01_1016__r501298bba8194402a1f27bdcbdba1caf"><td class="cellrowborder" valign="top" width="36.01%" headers="mcps1.3.2.2.2.3.2.4.1.1 "><p id="mrs_01_1016__a0578e0def1c44701bcbba011008f9ae9"><span id="mrs_01_1016__p4d0db121b79c4a23a493b385f40ea540">hbase.hstore.flusher.count</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="40.910000000000004%" headers="mcps1.3.2.2.2.3.2.4.1.2 "><p id="mrs_01_1016__a12b0e835d78941d2860db8c2d0fcb95d">Indicates the number of memstore flush threads. You can increase the parameter value in heavy-put-load scenarios.</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.080000000000002%" headers="mcps1.3.2.2.2.3.2.4.1.3 "><p id="mrs_01_1016__a701c8d93dc1b41109438ac00d65480a3"><span id="mrs_01_1016__p061e766d65f0485e8dbd86c44995928c">2</span></p>
+</td>
+</tr>
+<tr id="mrs_01_1016__r429248e7c4534cbbb315d47d3af70f3c"><td class="cellrowborder" valign="top" width="36.01%" headers="mcps1.3.2.2.2.3.2.4.1.1 "><p id="mrs_01_1016__afe785cef525f4d7e8e745c541e531bf9"><span id="mrs_01_1016__p77632cb6081840079409ece8dfec958f">hbase.regionserver.thread.compaction.small</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="40.910000000000004%" headers="mcps1.3.2.2.2.3.2.4.1.2 "><p id="mrs_01_1016__aec26a70d72054fc7bb8a4a75fc3f2778">Indicates the number of small compaction threads. You can increase the parameter value in heavy-put-load scenarios.</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.080000000000002%" headers="mcps1.3.2.2.2.3.2.4.1.3 "><p id="mrs_01_1016__a6ccc16fe539449bb8da19beedc9f0006"><span id="mrs_01_1016__pbcbe8f6191b04d08bbafa9da357e78e2">1</span>0</p>
+</td>
+</tr>
+<tr id="mrs_01_1016__r7cb5b5cf52184077b653a5a6d4a6e549"><td class="cellrowborder" valign="top" width="36.01%" headers="mcps1.3.2.2.2.3.2.4.1.1 "><p id="mrs_01_1016__a7014a9f43c094f5082e47e2ed6f50466"><span id="mrs_01_1016__p33e0b146dbbb45c59ed3231bc04a99fc">hbase.hstore.blockingStoreFiles</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="40.910000000000004%" headers="mcps1.3.2.2.2.3.2.4.1.2 "><p id="mrs_01_1016__p9810122717590">If the number of HStoreFile files in a Store exceeds the specified value, the update of the HRegion will be locked until a compression is completed or the value of <strong id="mrs_01_1016__b142618739454710">base.hstore.blockingWaitTime</strong> is exceeded. Each time MemStore is flushed, a StoreFile file is written into MemStore. Set this parameter to a larger value in heavy-put-load scenarios.</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.080000000000002%" headers="mcps1.3.2.2.2.3.2.4.1.3 "><p id="mrs_01_1016__a64b4586095c3422dbafb567043f85404"><span id="mrs_01_1016__padfdb84034a349bab73fb1a310bb3e87">1</span>5</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1016__l9e205994a6164300bbbb557570c064de">Scan parameters
+<div class="tablenoborder"><a name="mrs_01_1016__tcd04a4cfd9f94a80a47de3ccb824175e"></a><a name="tcd04a4cfd9f94a80a47de3ccb824175e"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1016__tcd04a4cfd9f94a80a47de3ccb824175e" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Scan parameters</caption><thead align="left"><tr id="mrs_01_1016__r8e84be06c88b47c5b099dd4c72e876ac"><th align="left" class="cellrowborder" valign="top" width="36.15%" id="mcps1.3.2.2.3.1.2.4.1.1"><p id="mrs_01_1016__a46439580e63146c1998915d2dc210b79"><strong id="mrs_01_1016__aa367d757f17c4c08be466c203d02ad75">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="40.77%" id="mcps1.3.2.2.3.1.2.4.1.2"><p id="mrs_01_1016__af976b507096d4d419b96f4b16a24ce4e"><strong id="mrs_01_1016__aca881a8995404702ba5596cd24968a92">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="23.080000000000002%" id="mcps1.3.2.2.3.1.2.4.1.3"><p id="mrs_01_1016__a9ab207c2965042d08bf4401372431d9b"><strong id="mrs_01_1016__a9631359af02041998a5c7cab6907726d">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1016__ra54ff0058e674c65a6fb4906627a4b87"><td class="cellrowborder" valign="top" width="36.15%" headers="mcps1.3.2.2.3.1.2.4.1.1 "><p id="mrs_01_1016__a540a09f709d84c09ae67032b5aa01c22">hbase.client.scanner.timeout.period</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.77%" headers="mcps1.3.2.2.3.1.2.4.1.2 "><p id="mrs_01_1016__p1778110816010">Client and RegionServer parameters, indicating the lease timeout period of the client executing the scan operation. You are advised to set this parameter to an integer multiple of 60000 ms. You can set this parameter to a larger value when the read load is heavy. The unit is milliseconds.</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.080000000000002%" headers="mcps1.3.2.2.3.1.2.4.1.3 "><p id="mrs_01_1016__abd9bf58d739c437ab967656c753d1755">60000</p>
+</td>
+</tr>
+<tr id="mrs_01_1016__ra8e4c60d26624629aa3b0f8c90b5f0e1"><td class="cellrowborder" valign="top" width="36.15%" headers="mcps1.3.2.2.3.1.2.4.1.1 "><p id="mrs_01_1016__abdbd8e09b2a940fea3d80c9a44c0528e">hfile.block.cache.size</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.77%" headers="mcps1.3.2.2.3.1.2.4.1.2 "><p id="mrs_01_1016__a3171ac7914a549f1a06dff76954252ab">Indicates the data cache percentage in the RegionServer GC –Xmx. You can increase the parameter value in heavy-read-load scenarios, in order to improve cache hit ratio and performance. It indicates the percentage of the maximum heap (-Xmx setting) allocated to the block cache of HFiles or StoreFiles.</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.080000000000002%" headers="mcps1.3.2.2.3.1.2.4.1.3 "><p id="mrs_01_1016__a8ce85521c3d54e82924ca436b3551867">When offheap is disabled, the default value is <strong id="mrs_01_1016__b0896131544615">0.25</strong>. When offheap is enabled, the default value is <strong id="mrs_01_1016__b444492219460">0.1</strong>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1016__l081503faa2ad4165b9b920080d1a1492">Handler parameters
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1016__t3eb8edf1145a41fba495166fc07ed411" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Handler parameters</caption><thead align="left"><tr id="mrs_01_1016__r11c6c695f77a45489197a8f0c3c3b083"><th align="left" class="cellrowborder" valign="top" width="36.15%" id="mcps1.3.2.2.4.1.2.4.1.1"><p id="mrs_01_1016__a9168176a731c4df48ad5018f12dc91f8"><strong id="mrs_01_1016__acf4cb782cfa6455f9f58df4c78e6c911">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="40.77%" id="mcps1.3.2.2.4.1.2.4.1.2"><p id="mrs_01_1016__a805f220b567b4790bac9c361a208c9d7"><strong id="mrs_01_1016__a6b53f92e9e9d41aebe32c763752a4034">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="23.080000000000002%" id="mcps1.3.2.2.4.1.2.4.1.3"><p id="mrs_01_1016__a994ababcd54f48f69ae27e0f74aa19c7"><strong id="mrs_01_1016__ac2f00d8aeebb4e6694c27b0c8436186e">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1016__r1f5ab89340b9462bb09c486376669553"><td class="cellrowborder" valign="top" width="36.15%" headers="mcps1.3.2.2.4.1.2.4.1.1 "><p id="mrs_01_1016__a3f6a478335144b969fa3d5c9d337ffe2">hbase.regionserver.handler.count</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.77%" headers="mcps1.3.2.2.4.1.2.4.1.2 "><p id="mrs_01_1016__a3f695a9868324a3e896e9d1fe07e0616">Indicates the number of RPC server instances on RegionServer. The recommended value ranges from 200 to 400.</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.080000000000002%" headers="mcps1.3.2.2.4.1.2.4.1.3 "><p id="mrs_01_1016__a8a54ce3ca3324e1dbdd1a69268d879b5">200</p>
+</td>
+</tr>
+<tr id="mrs_01_1016__rb1030b854d364d43bccc5da9a5c22d27"><td class="cellrowborder" valign="top" width="36.15%" headers="mcps1.3.2.2.4.1.2.4.1.1 "><p id="mrs_01_1016__ae48b6460ca1b48d59f6237d29827f70b">hbase.regionserver.metahandler.count</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.77%" headers="mcps1.3.2.2.4.1.2.4.1.2 "><p id="mrs_01_1016__a0c1b699aec764393a2ae9aa9ee3156cb">Indicates the number of program instances for processing prioritized requests. The recommended value ranges from 200 to 400.</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.080000000000002%" headers="mcps1.3.2.2.4.1.2.4.1.3 "><p id="mrs_01_1016__ad3c65f9d76774bf0ad791940d8129931">200</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1013.html">HBase Performance Tuning</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1017"></a><a name="mrs_01_1017"></a>
+
+<h1 class="topictitle1">Improving Real-time Data Write Performance</h1>
+<div id="body1590128863843"><div class="section" id="mrs_01_1017__s99ea6e0b7c7f4b52aad90e7ffbb3c111"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1017__a12d1d8ad6ea7472093e34542bc9d415b">Scenarios where data needs to be written to HBase in real time, or large-scale and consecutive put scenarios</p>
+<div class="note" id="mrs_01_1017__note3659121463219"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1017__p136601141326">This section applies to MRS 3.<em id="mrs_01_1017__i17349122116713">x</em> and later versions.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1017__s3b36ebe1e0fe43df8b7144021cae1b92"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_1017__ac79b93f5df404c5690cb222aad7c0a40">The HBase put or delete interface can be used to save data to HBase.</p>
+</div>
+<div class="section" id="mrs_01_1017__s483f1b71973641ce88cbf9fcc7e875ef"><h4 class="sectiontitle">Procedure</h4><ul id="mrs_01_1017__u548b0ec870ea405b8976b25b15ffceb9"><li id="mrs_01_1017__l3eaf9c74871a49139fdd84b216b13666"><strong id="mrs_01_1017__b842311381016">Data writing server tuning</strong><p id="mrs_01_1017__a257a506742254f5dae7d77ba7ab5fce2">Parameter portal:</p>
+<p id="mrs_01_1017__p21172338305">Go to the <strong id="mrs_01_1017__b10599425478">All Configurations</strong> page of the HBase service. For details, see <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1017__t570590893991433b88f7d3238a28dbb3" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Configuration items that affect real-time data writing</caption><thead align="left"><tr id="mrs_01_1017__r69a7f3de1b3b47f6833daa788c3ce626"><th align="left" class="cellrowborder" valign="top" width="27.26%" id="mcps1.3.3.2.1.4.2.4.1.1"><p id="mrs_01_1017__en-us_topic_0116526934_p285027721170"><strong id="mrs_01_1017__b1323162904211">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="48.6%" id="mcps1.3.3.2.1.4.2.4.1.2"><p id="mrs_01_1017__en-us_topic_0116526934_p418822571170"><strong id="mrs_01_1017__en-us_topic_0116526934_b413959981170">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="24.14%" id="mcps1.3.3.2.1.4.2.4.1.3"><p id="mrs_01_1017__en-us_topic_0116526934_p647415761170"><strong id="mrs_01_1017__en-us_topic_0116526934_b458032791170">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1017__r6167235094894418a7ae13debac6135d"><td class="cellrowborder" valign="top" width="27.26%" headers="mcps1.3.3.2.1.4.2.4.1.1 "><p id="mrs_01_1017__en-us_topic_0116526934_p18236151170"></p>
+<p id="mrs_01_1017__p297894315534">hbase.wal.hsync</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.6%" headers="mcps1.3.3.2.1.4.2.4.1.2 "><p id="mrs_01_1017__en-us_topic_0116526934_p134951091170">Controls the synchronization degree when HLogs are written to the HDFS. If the value is <strong id="mrs_01_1017__b132901850184217">true</strong>, HDFS returns only when data is written to the disk. If the value is <strong id="mrs_01_1017__b1829114020435">false</strong>, HDFS returns when data is written to the OS cache.</p>
+<p id="mrs_01_1017__en-us_topic_0116526934_p543471251170">Set the parameter to <strong id="mrs_01_1017__b56091820134316">false</strong> to improve write performance.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.14%" headers="mcps1.3.3.2.1.4.2.4.1.3 "><p id="mrs_01_1017__en-us_topic_0116526934_p400410011170">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1017__r8a31d5e8818840e1b659074a9ceabb28"><td class="cellrowborder" valign="top" width="27.26%" headers="mcps1.3.3.2.1.4.2.4.1.1 "><p id="mrs_01_1017__p13825537536">hbase.hfile.hsync</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.6%" headers="mcps1.3.3.2.1.4.2.4.1.2 "><p id="mrs_01_1017__en-us_topic_0116526934_p16224611170">Controls the synchronization degree when HFiles are written to the HDFS. If the value is <strong id="mrs_01_1017__b11157124624317">true</strong>, HDFS returns only when data is written to the disk. If the value is <strong id="mrs_01_1017__b216234654317">false</strong>, HDFS returns when data is written to the OS cache.</p>
+<p id="mrs_01_1017__en-us_topic_0116526934_p146021541170">Set the parameter to <strong id="mrs_01_1017__b1535755116434">false</strong> to improve write performance.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.14%" headers="mcps1.3.3.2.1.4.2.4.1.3 "><p id="mrs_01_1017__en-us_topic_0116526934_p419237921170">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1017__r794aeae6299e42a5bdfa10a82976d4d4"><td class="cellrowborder" valign="top" width="27.26%" headers="mcps1.3.3.2.1.4.2.4.1.1 "><p id="mrs_01_1017__en-us_topic_0116526934_p279116021170">GC_OPTS</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.6%" headers="mcps1.3.3.2.1.4.2.4.1.2 "><p id="mrs_01_1017__en-us_topic_0116526934_p462472931170">You can increase HBase memory to improve HBase performance because read and write operations are performed in HBase memory. <strong id="mrs_01_1017__b16831617184516">HeapSize</strong> and <strong id="mrs_01_1017__b19400132111458">NewSize</strong> need to be adjusted. When you adjust <strong id="mrs_01_1017__b492982864520">HeapSize</strong>, set <strong id="mrs_01_1017__b1592013854519">Xms</strong> and <strong id="mrs_01_1017__b187524410459">Xmx</strong> to the same value to avoid performance problems when JVM dynamically adjusts <strong id="mrs_01_1017__b839373714149">HeapSize</strong>. Set <strong id="mrs_01_1017__b4107205319456">NewSize</strong> to 1/8 of <strong id="mrs_01_1017__b713384631420">HeapSize</strong>.</p>
+<ul id="mrs_01_1017__u18fcc6203c354292a8fc147c3674ec77"><li id="mrs_01_1017__l96e5cc6576414a6db9f08936e56bf589"><strong id="mrs_01_1017__b13858171217467">HMaster</strong>: If HBase clusters enlarge and the number of Regions grows, properly increase the <strong id="mrs_01_1017__b261711213460">GC_OPTS</strong> parameter value of the HMaster. </li><li id="mrs_01_1017__l257202a7c64b46d89ce2fec0576ad5f7"><strong id="mrs_01_1017__b113152309461">RegionServer</strong>: A RegionServer needs more memory than an HMaster. If sufficient memory is available, increase the <strong id="mrs_01_1017__b965610401469">HeapSize</strong> value.</li></ul>
+<div class="note" id="mrs_01_1017__nd9e74efa89d44cbeb0567c596eb3c17d"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1017__en-us_topic_0116526934_p301917211735">When the value of <strong id="mrs_01_1017__b913984964619">HeapSize</strong> for the active HMaster is 4 GB, the HBase cluster can support 100,000 regions. Empirically, each time 35,000 regions are added to the cluster, the value of <strong id="mrs_01_1017__b2665136134719">HeapSize</strong> must be increased by 2 GB. It is recommended that the value of <strong id="mrs_01_1017__b151391911154716">HeapSize</strong> for the active HMaster not exceed 32 GB.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="24.14%" headers="mcps1.3.3.2.1.4.2.4.1.3 "><ul id="mrs_01_1017__ul19121124913710"><li id="mrs_01_1017__li112154915375">HMaster<p id="mrs_01_1017__p3915133412383"><a name="mrs_01_1017__li112154915375"></a><a name="li112154915375"></a>-server -Xms4G -Xmx4G -XX:NewSize=512M -XX:MaxNewSize=512M -XX:MetaspaceSize=128M -XX:MaxMetaspaceSize=512M -XX:+UseConcMarkSweepGC -XX:+CMSParallelRemarkEnabled -XX:CMSInitiatingOccupancyFraction=65 -XX:+PrintGCDetails -Dsun.rmi.dgc.client.gcInterval=0x7FFFFFFFFFFFFFE -Dsun.rmi.dgc.server.gcInterval=0x7FFFFFFFFFFFFFE -XX:-OmitStackTraceInFastThrow -XX:+PrintGCTimeStamps -XX:+PrintGCDateStamps -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=10 -XX:GCLogFileSize=1M</p>
+</li><li id="mrs_01_1017__li697792153915">Region Server<p id="mrs_01_1017__p164037811395"><a name="mrs_01_1017__li697792153915"></a><a name="li697792153915"></a>-server -Xms6G -Xmx6G -XX:NewSize=1024M -XX:MaxNewSize=1024M -XX:MetaspaceSize=128M -XX:MaxMetaspaceSize=512M -XX:+UseConcMarkSweepGC -XX:+CMSParallelRemarkEnabled -XX:CMSInitiatingOccupancyFraction=65 -XX:+PrintGCDetails -Dsun.rmi.dgc.client.gcInterval=0x7FFFFFFFFFFFFFE -Dsun.rmi.dgc.server.gcInterval=0x7FFFFFFFFFFFFFE -XX:-OmitStackTraceInFastThrow -XX:+PrintGCTimeStamps -XX:+PrintGCDateStamps -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=10 -XX:GCLogFileSize=1M</p>
+</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_1017__r76cb162c7e4d4813b1e0670482eed8e0"><td class="cellrowborder" valign="top" width="27.26%" headers="mcps1.3.3.2.1.4.2.4.1.1 "><p id="mrs_01_1017__en-us_topic_0116526934_p85737481170">hbase.regionserver.handler.count</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.6%" headers="mcps1.3.3.2.1.4.2.4.1.2 "><p id="mrs_01_1017__en-us_topic_0116526934_p233849511170">Indicates the number of RPC server instances started on RegionServer. If the parameter is set to an excessively large value, threads will compete fiercely. If the parameter is set to an excessively small value, requests will be waiting for a long time in RegionServer, reducing the processing capability. You can add threads based on resources.</p>
+<p id="mrs_01_1017__en-us_topic_0116526934_p91379751170">It is recommended that the value be set to <strong id="mrs_01_1017__b69315483215">100</strong> to <strong id="mrs_01_1017__b1614170321">300</strong> based on the CPU usage.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.14%" headers="mcps1.3.3.2.1.4.2.4.1.3 "><p id="mrs_01_1017__en-us_topic_0116526934_p19785191170">200</p>
+</td>
+</tr>
+<tr id="mrs_01_1017__r15979a3ee2da4dd19a8b7047eadf4561"><td class="cellrowborder" valign="top" width="27.26%" headers="mcps1.3.3.2.1.4.2.4.1.1 "><p id="mrs_01_1017__en-us_topic_0116526934_p330543901170">hbase.hregion.max.filesize</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.6%" headers="mcps1.3.3.2.1.4.2.4.1.2 "><p id="mrs_01_1017__en-us_topic_0116526934_p601599481170">Indicates the maximum size of an HStoreFile, in bytes. If the size of any HStoreFile exceeds the value of this parameter, the managed Hregion is divided into two parts.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.14%" headers="mcps1.3.3.2.1.4.2.4.1.3 "><p id="mrs_01_1017__en-us_topic_0116526934_p411176261170">10737418240</p>
+</td>
+</tr>
+<tr id="mrs_01_1017__r4055b409a3ce4fafa00c5b126cc118d2"><td class="cellrowborder" valign="top" width="27.26%" headers="mcps1.3.3.2.1.4.2.4.1.1 "><p id="mrs_01_1017__en-us_topic_0116526934_p441967291170">hbase.hregion.memstore.flush.size</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.6%" headers="mcps1.3.3.2.1.4.2.4.1.2 "><p id="mrs_01_1017__en-us_topic_0116526934_p231652591170">On the RegionServer, when the size of memstore that exists in memory of write operations exceeds <strong id="mrs_01_1017__b917219522287">memstore.flush.size</strong>, MemStoreFlusher performs the Flush operation to write the memstore to the corresponding store in the format of HFile. </p>
+<p id="mrs_01_1017__en-us_topic_0116526934_p71607451170">If RegionServer memory is sufficient and active Regions are few, increase the parameter value and reduce compaction times to improve system performance. </p>
+<p id="mrs_01_1017__en-us_topic_0116526934_p644467061170">The Flush operation may be delayed after it takes place. Write operations continue and memstore keeps increasing during the delay. The maximum size of memstore is: <strong id="mrs_01_1017__b565044994917">memstore.flush.size</strong> x <strong id="mrs_01_1017__b150865414494">hbase.hregion.memstore.block.multiplier</strong>. When the memstore size exceeds the maximum value, write operations are blocked. Properly increasing the value of <strong id="mrs_01_1017__b13331725165110">hbase.hregion.memstore.block.multiplier</strong> can reduce the blocks and make performance become more stable. Unit: byte</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.14%" headers="mcps1.3.3.2.1.4.2.4.1.3 "><p id="mrs_01_1017__en-us_topic_0116526934_p528007261170">134217728</p>
+</td>
+</tr>
+<tr id="mrs_01_1017__rb9bd675884c74c7ea1abbf20c887d488"><td class="cellrowborder" valign="top" width="27.26%" headers="mcps1.3.3.2.1.4.2.4.1.1 "><p id="mrs_01_1017__en-us_topic_0116526934_p383505471170">hbase.regionserver.global.memstore.size</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.6%" headers="mcps1.3.3.2.1.4.2.4.1.2 "><p id="mrs_01_1017__en-us_topic_0116526934_p193866371170">Updates the size of all MemStores supported by the RegionServer before locking or forcible flush. On the RegionServer, the MemStoreFlusher thread performs the flush. The thread regularly checks memory occupied by write operations. When the total memory volume occupied by write operations exceeds the threshold, MemStoreFlusher performs the flush. Larger memstore will be flushed first and then smaller ones until the occupied memory is less than the threshold. </p>
+<p id="mrs_01_1017__en-us_topic_0116526934_p402620121170">Threshold = hbase.regionserver.global.memstore.size x hbase.regionserver.global.memstore.size.lower.limit x HBase_HEAPSIZE</p>
+<div class="note" id="mrs_01_1017__n7da7e948667245a1b4118764dfef416d"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1017__a85dbb82988d14d2c9f7fb4dd42972cc7">The sum of the parameter value and the value of <strong id="mrs_01_1017__b746071019521">hfile.block.cache.size</strong> cannot exceed 0.8, that is, memory occupied by read and write operations cannot exceed 80% of <strong id="mrs_01_1017__b10416426105217">HeapSize</strong>, ensuring stable running of other operations. </p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="24.14%" headers="mcps1.3.3.2.1.4.2.4.1.3 "><p id="mrs_01_1017__en-us_topic_0116526934_p185751161170">0.4</p>
+</td>
+</tr>
+<tr id="mrs_01_1017__r725afaae45a44065884d32d4789f9629"><td class="cellrowborder" valign="top" width="27.26%" headers="mcps1.3.3.2.1.4.2.4.1.1 "><p id="mrs_01_1017__en-us_topic_0116526934_p523781061170">hbase.hstore.blockingStoreFiles</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.6%" headers="mcps1.3.3.2.1.4.2.4.1.2 "><p id="mrs_01_1017__en-us_topic_0116526934_p147681901170">Check whether the number of files is larger than the value of <strong id="mrs_01_1017__b107531515175313">hbase.hstore.blockingStoreFiles</strong> before you flush regions. </p>
+<p id="mrs_01_1017__en-us_topic_0116526934_p658048531170">If it is larger than the value of <strong id="mrs_01_1017__b7539143312538">hbase.hstore.blockingStoreFiles</strong>, perform a compaction and configure <strong id="mrs_01_1017__b12164174725317">hbase.hstore.blockingWaitTime</strong> to 90s to make the flush delay for 90s. During the delay, write operations continue and the memstore size keeps increasing and exceeds the threshold (<strong id="mrs_01_1017__b18458116115419">memstore.flush.size</strong> x <strong id="mrs_01_1017__b4148812195419">hbase.hregion.memstore.block.multiplier</strong>), blocking write operations. After compaction is complete, a large number of writes may be generated. As a result, the performance fluctuates sharply.</p>
+<p id="mrs_01_1017__en-us_topic_0116526934_p553727711170">Increase the value of <strong id="mrs_01_1017__b189381954205519">hbase.hstore.blockingStoreFiles</strong> to reduce block possibilities. </p>
+</td>
+<td class="cellrowborder" valign="top" width="24.14%" headers="mcps1.3.3.2.1.4.2.4.1.3 "><p id="mrs_01_1017__en-us_topic_0116526934_p560094891170">15</p>
+</td>
+</tr>
+<tr id="mrs_01_1017__rb06a266fa3884fc99203f2273481fde1"><td class="cellrowborder" valign="top" width="27.26%" headers="mcps1.3.3.2.1.4.2.4.1.1 "><p id="mrs_01_1017__en-us_topic_0116526934_p287282951170">hbase.regionserver.thread.compaction.throttle</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.6%" headers="mcps1.3.3.2.1.4.2.4.1.2 "><p id="mrs_01_1017__en-us_topic_0116526934_p452905771170">The compression whose size is greater than the value of this parameter is executed by the large thread pool. The unit is bytes. Indicates a threshold of a total file size for compaction during a Minor Compaction. The total file size affects execution duration of a compaction. If the total file size is large, other compactions or flushes may be blocked. </p>
+</td>
+<td class="cellrowborder" valign="top" width="24.14%" headers="mcps1.3.3.2.1.4.2.4.1.3 "><p id="mrs_01_1017__en-us_topic_0116526934_p446581111170">1610612736</p>
+</td>
+</tr>
+<tr id="mrs_01_1017__rb369ef00b4764fd6972b9885dfc73678"><td class="cellrowborder" valign="top" width="27.26%" headers="mcps1.3.3.2.1.4.2.4.1.1 "><p id="mrs_01_1017__en-us_topic_0116526934_p79642671170">hbase.hstore.compaction.min</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.6%" headers="mcps1.3.3.2.1.4.2.4.1.2 "><p id="mrs_01_1017__en-us_topic_0116526934_p411259081170">Indicates the minimum number of HStoreFiles on which minor compaction is performed each time. When the size of a file in a Store exceeds the value of this parameter, the file is compacted. You can increase the value of this parameter to reduce the number of times that the file is compacted. If there are too many files in the Store, read performance will be affected.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.14%" headers="mcps1.3.3.2.1.4.2.4.1.3 "><p id="mrs_01_1017__en-us_topic_0116526934_p428642211170">6</p>
+</td>
+</tr>
+<tr id="mrs_01_1017__r830e934609bd4f949ca228cd8e662415"><td class="cellrowborder" valign="top" width="27.26%" headers="mcps1.3.3.2.1.4.2.4.1.1 "><p id="mrs_01_1017__en-us_topic_0116526934_p423953611170">hbase.hstore.compaction.max</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.6%" headers="mcps1.3.3.2.1.4.2.4.1.2 "><p id="mrs_01_1017__p17981221164015">Indicates the maximum number of HStoreFiles on which minor compaction is performed each time. The functions of the parameter and <strong id="mrs_01_1017__b7475152710386">hbase.hstore.compaction.max.size</strong> are similar. Both are used to limit the execution duration of one compaction.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.14%" headers="mcps1.3.3.2.1.4.2.4.1.3 "><p id="mrs_01_1017__en-us_topic_0116526934_p568364481170">10</p>
+</td>
+</tr>
+<tr id="mrs_01_1017__rb6543377f49a4a02b14fe1c432b8f6e0"><td class="cellrowborder" valign="top" width="27.26%" headers="mcps1.3.3.2.1.4.2.4.1.1 "><p id="mrs_01_1017__en-us_topic_0116526934_p276019611170">hbase.hstore.compaction.max.size</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.6%" headers="mcps1.3.3.2.1.4.2.4.1.2 "><p id="mrs_01_1017__en-us_topic_0116526934_p211663321170">If the size of an HFile is larger than the parameter value, the HFile will not be compacted in a Minor Compaction but can be compacted in a Major Compaction. </p>
+<p id="mrs_01_1017__en-us_topic_0116526934_p562792681170">The parameter is used to prevent HFiles of large sizes from being compacted. After a Major Compaction is forbidden, multiple HFiles can exist in a Store and will not be merged into one HFile, without affecting data access performance. The unit is byte.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.14%" headers="mcps1.3.3.2.1.4.2.4.1.3 "><p id="mrs_01_1017__en-us_topic_0116526934_p623268681170">9223372036854775807</p>
+</td>
+</tr>
+<tr id="mrs_01_1017__rf0f6ffed1d7648c79f82226210a4ce23"><td class="cellrowborder" valign="top" width="27.26%" headers="mcps1.3.3.2.1.4.2.4.1.1 "><p id="mrs_01_1017__en-us_topic_0116526934_p35860271170">hbase.hregion.majorcompaction</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.6%" headers="mcps1.3.3.2.1.4.2.4.1.2 "><p id="mrs_01_1017__en-us_topic_0116526934_p220327851170">Main compression interval of all HStoreFile files in a region. The unit is milliseconds. Execution of Major Compactions consumes much system resources and will affect system performance during peak hours. </p>
+<p id="mrs_01_1017__en-us_topic_0116526934_p640773421170">If service updates, deletion, and reclamation of expired data space are infrequent, set the parameter to <strong id="mrs_01_1017__b4674518205919">0</strong> to disable Major Compactions.</p>
+<p id="mrs_01_1017__en-us_topic_0116526934_p398251671170">If you must perform a Major Compaction to reclaim more space, increase the parameter value and configure the <strong id="mrs_01_1017__b2190154675912">hbase.offpeak.end.hour</strong> and <strong id="mrs_01_1017__b584215012597">hbase.offpeak.start.hour</strong> parameters to make the Major Compaction be triggered in off-peak hours.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.14%" headers="mcps1.3.3.2.1.4.2.4.1.3 "><p id="mrs_01_1017__en-us_topic_0116526934_p46131341170">604800000</p>
+</td>
+</tr>
+<tr id="mrs_01_1017__r81c32fb8b7d249b7953e88ba6ad0ddaf"><td class="cellrowborder" valign="top" width="27.26%" headers="mcps1.3.3.2.1.4.2.4.1.1 "><ul id="mrs_01_1017__en-us_topic_0116526934_ul75321361170"><li id="mrs_01_1017__en-us_topic_0116526934_li6803661170">hbase.regionserver.maxlogs</li><li id="mrs_01_1017__en-us_topic_0116526934_li61232951170">hbase.regionserver.hlog.blocksize</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="48.6%" headers="mcps1.3.3.2.1.4.2.4.1.2 "><ul id="mrs_01_1017__u3111b965dc454636bef6d90a191d7d4d"><li id="mrs_01_1017__lb5b631b732244783bbde158a49bca88c">Indicates the threshold for the number of HLog files that are not flushed on a RegionServer. If the number of HLog files is greater than the threshold, the RegionServer forcibly performs flush operations.</li><li id="mrs_01_1017__l5816da75c50244e1abbe674827dd50f0">Indicates the maximum size of an HLog file. If the size of an HLog file is greater than the value of this parameter, a new HLog file is generated. The old HLog file is disabled and archived.</li></ul>
+<p id="mrs_01_1017__en-us_topic_0116526934_p590460241170">The two parameters determine the number of HLogs that are not flushed in a RegionServer. When the data volume is less than the total size of memstore, the flush operation is forcibly triggered due to excessive HLog files. In this case, you can adjust the values of the two parameters to avoid forcible flush. Unit: byte</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.14%" headers="mcps1.3.3.2.1.4.2.4.1.3 "><ul id="mrs_01_1017__u24b9bf8760f040fea8363c2d5a6b78e3"><li id="mrs_01_1017__la033ff159bbe423f96c264876b5175ac">32</li><li id="mrs_01_1017__le003183edcd640a49f5bd2d8b55a581c">134217728</li></ul>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1017__l0bb96f6dd43d449ea38aff1a50fc727d"><strong id="mrs_01_1017__b719878201310">Data writing client tuning</strong><p id="mrs_01_1017__en-us_topic_0116526934_p47867571197">It is recommended that data is written in Put List mode if necessary, which greatly improves write performance. The length of each put list needs to be set based on the single put size and parameters of the actual environment. You are advised to do some basic tests before configuring parameters.</p>
+</li><li id="mrs_01_1017__la948fb9ff9a640739dc4a45c6f92810d"><strong id="mrs_01_1017__b1915065119459">Data table writing design optimization</strong>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1017__tc128a794bd0a4d54bfcebed794d1a3be" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Parameters affecting real-time data writing</caption><thead align="left"><tr id="mrs_01_1017__r110e574441ac44e0b01f563c686dc3de"><th align="left" class="cellrowborder" valign="top" width="18%" id="mcps1.3.3.2.3.2.2.4.1.1"><p id="mrs_01_1017__aa3d41ca1b8804aa5b400d39b806c5093"><strong id="mrs_01_1017__b42676817319">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="56.00000000000001%" id="mcps1.3.3.2.3.2.2.4.1.2"><p id="mrs_01_1017__a89dde2e9823e4baca10d6466a6f82adc"><strong id="mrs_01_1017__a0b8604a993094a69b2159c5e4ef4746a">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="26%" id="mcps1.3.3.2.3.2.2.4.1.3"><p id="mrs_01_1017__a362acc8315c348a787d513ca7284c1be"><strong id="mrs_01_1017__a349e413b871942c08220642d0b22973c">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1017__r903c570752d5441da396d67f5d9fe4ad"><td class="cellrowborder" valign="top" width="18%" headers="mcps1.3.3.2.3.2.2.4.1.1 "><p id="mrs_01_1017__en-us_topic_0116526934_p13816711943">COMPRESSION</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.00000000000001%" headers="mcps1.3.3.2.3.2.2.4.1.2 "><p id="mrs_01_1017__a52403acd6601416d9ed6061a50117e0f">The compression algorithm compresses blocks in HFiles. For compressible data, configure the compression algorithm to efficiently reduce disk I/Os and improve performance. </p>
+<div class="note" id="mrs_01_1017__n888095f9a80b49fdbc2e59f4c703c98a"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1017__a807bae449ff54902802b576a3ec9c7ba">Some data cannot be efficiently compressed. For example, a compressed figure can hardly be compressed again. The common compression algorithm is SNAPPY, because it has a high encoding/decoding speed and acceptable compression rate.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="26%" headers="mcps1.3.3.2.3.2.2.4.1.3 "><p id="mrs_01_1017__af21aff04f52b44b7b8add3e815f8af65">NONE</p>
+</td>
+</tr>
+<tr id="mrs_01_1017__rea81cd68e0bc4637aab1106fab9b9288"><td class="cellrowborder" valign="top" width="18%" headers="mcps1.3.3.2.3.2.2.4.1.1 "><p id="mrs_01_1017__a0494f385b2324d39869d23b0270ef7e6">BLOCKSIZE</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.00000000000001%" headers="mcps1.3.3.2.3.2.2.4.1.2 "><p id="mrs_01_1017__a9a4307f671be473bb62026cc6e25f789">Different block sizes affect HBase data read and write performance. You can configure sizes for blocks in an HFile. Larger blocks have a higher compression rate. However, they have poor performance in random data read, because HBase reads data in a unit of blocks. </p>
+<p id="mrs_01_1017__a0a0980c7c393480aa2f279df7fc81ef4">Set the parameter to 128 KB or 256 KB to improve data write efficiency without greatly affecting random read performance. The unit is byte.</p>
+</td>
+<td class="cellrowborder" valign="top" width="26%" headers="mcps1.3.3.2.3.2.2.4.1.3 "><p id="mrs_01_1017__acdf3355587d94c15b5510ff9e63dd454">65536</p>
+</td>
+</tr>
+<tr id="mrs_01_1017__rffbbd24f86cb41d6b818deb0e5a44f64"><td class="cellrowborder" valign="top" width="18%" headers="mcps1.3.3.2.3.2.2.4.1.1 "><p id="mrs_01_1017__a5c296050d5c74c29bb121f174671595b">IN_MEMORY</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.00000000000001%" headers="mcps1.3.3.2.3.2.2.4.1.2 "><p id="mrs_01_1017__a75433de8ccf348bda8d3f7a30c9fd2c4">Whether to cache table data in the memory first, which improves data read performance. If you will frequently access some small tables, set the parameter. </p>
+</td>
+<td class="cellrowborder" valign="top" width="26%" headers="mcps1.3.3.2.3.2.2.4.1.3 "><p id="mrs_01_1017__a5efa96647c854006b1ae3b1b2869c19b">false</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1013.html">HBase Performance Tuning</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1018"></a><a name="mrs_01_1018"></a>
+
+<h1 class="topictitle1">Improving Real-time Data Read Performance</h1>
+<div id="body1590128863845"><div class="section" id="mrs_01_1018__s367c39a0527d4d67bf75b6a9062afb20"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1018__a77c1949d11bd403a972e2594d95880af">HBase data needs to be read.</p>
+</div>
+<div class="section" id="mrs_01_1018__sa4eeb3920d2b40a889c6427b40103d81"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_1018__a11961fda22524570a39d33999185a219">The get or scan interface of HBase has been invoked and data is read in real time from HBase.</p>
+</div>
+<div class="section" id="mrs_01_1018__sc385e92c5fda4d3d973d95916edb3edb"><h4 class="sectiontitle">Procedure</h4><ul id="mrs_01_1018__ue9bc36a9a24e4e118baae48820dca9b3"><li id="mrs_01_1018__la9dad44cde8d41099ad3d13e5dd331a6"><strong id="mrs_01_1018__b1048115531915">Data reading server tuning</strong><p id="mrs_01_1018__a40ba5dda32864c5cb8f4b302c92cf6df">Parameter portal:</p>
+<p id="mrs_01_1018__p21172338305">Go to the <strong id="mrs_01_1018__b205261581781">All Configurations</strong> page of the HBase service. For details, see <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1018__t7b5134c28c3645d2a89902715aae2e28" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Configuration items that affect real-time data reading</caption><thead align="left"><tr id="mrs_01_1018__rc029c6b1949b4a089fbdff644f704b08"><th align="left" class="cellrowborder" valign="top" width="31.630000000000003%" id="mcps1.3.3.2.1.4.2.4.1.1"><p id="mrs_01_1018__en-us_topic_0116526926_p285027721170"><strong id="mrs_01_1018__b4328143415248">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="45.92%" id="mcps1.3.3.2.1.4.2.4.1.2"><p id="mrs_01_1018__en-us_topic_0116526926_p418822571170"><strong id="mrs_01_1018__en-us_topic_0116526926_b413959981170">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="22.45%" id="mcps1.3.3.2.1.4.2.4.1.3"><p id="mrs_01_1018__en-us_topic_0116526926_p647415761170"><strong id="mrs_01_1018__en-us_topic_0116526926_b458032791170">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1018__r2d300a1fc1404a999cdb604ea8e09a26"><td class="cellrowborder" valign="top" width="31.630000000000003%" headers="mcps1.3.3.2.1.4.2.4.1.1 "><p id="mrs_01_1018__en-us_topic_0116526926_p279116021170">GC_OPTS</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.92%" headers="mcps1.3.3.2.1.4.2.4.1.2 "><p id="mrs_01_1018__a5a564f50cdc045a189d1916392799498">You can increase HBase memory to improve HBase performance because read and write operations are performed in HBase memory.</p>
+<p id="mrs_01_1018__af586da16692e4897ba56a7812d744899"><strong id="mrs_01_1018__b149401824259">HeapSize</strong> and <strong id="mrs_01_1018__b1494182132515">NewSize</strong> need to be adjusted. When you adjust <strong id="mrs_01_1018__b169263672514">HeapSize</strong>, set <strong id="mrs_01_1018__b6932569253">Xms</strong> and <strong id="mrs_01_1018__b139338622512">Xmx</strong> to the same value to avoid performance problems when JVM dynamically adjusts <strong id="mrs_01_1018__b353391712514">HeapSize</strong>. Set <strong id="mrs_01_1018__b66382256254">NewSize</strong> to 1/8 of <strong id="mrs_01_1018__b18959129152512">HeapSize</strong>.</p>
+<ul id="mrs_01_1018__uc30f93a56cc64e559e45a4557c4dde03"><li id="mrs_01_1018__lf41deb99eef04b6ab62a67b52772357d"><strong id="mrs_01_1018__b2542183542513">HMaster</strong>: If HBase clusters enlarge and the number of Regions grows, properly increase the <strong id="mrs_01_1018__b1654873519258">GC_OPTS</strong> parameter value of the HMaster. </li><li id="mrs_01_1018__lb5ce3162405d4b61a4a667a3a8c61043"><strong id="mrs_01_1018__b14245104262513">RegionServer</strong>: A RegionServer needs more memory than an HMaster. If sufficient memory is available, increase the <strong id="mrs_01_1018__b798917456257">HeapSize</strong> value.</li></ul>
+<div class="note" id="mrs_01_1018__n20d462fa8d2b4cc7abdeae4d30ece3f5"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1018__en-us_topic_0116526934_p301917211735">When the value of <strong id="mrs_01_1018__b390284992517">HeapSize</strong> for the active HMaster is 4 GB, the HBase cluster can support 100,000 regions. Empirically, each time 35,000 regions are added to the cluster, the value of <strong id="mrs_01_1018__b41591454132516">HeapSize</strong> must be increased by 2 GB. It is recommended that the value of <strong id="mrs_01_1018__b12166145442515">HeapSize</strong> for the active HMaster not exceed 32 GB.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.3.2.1.4.2.4.1.3 "><p id="mrs_01_1018__p44574123716">For versions earlier than MRS 3.x:</p>
+<ul id="mrs_01_1018__u1908f8f9966a4cf0a960c85425b2e391"><li id="mrs_01_1018__l67ab481439e94cda815a994a83a9d075">HMaster:<p id="mrs_01_1018__a91bfd11c9649416f9117bf9fd128dcc5"><a name="mrs_01_1018__l67ab481439e94cda815a994a83a9d075"></a><a name="l67ab481439e94cda815a994a83a9d075"></a>-server -Xms2G -Xmx2G -XX:NewSize=256M -XX:MaxNewSize=256M -XX:MetaspaceSize=128M -XX:MaxMetaspaceSize=512M -XX:MaxDirectMemorySize=512M -XX:+UseConcMarkSweepGC -XX:+CMSParallelRemarkEnabled -XX:CMSInitiatingOccupancyFraction=65 -XX:+PrintGCDetails -Dsun.rmi.dgc.client.gcInterval=0x7FFFFFFFFFFFFFE -Dsun.rmi.dgc.server.gcInterval=0x7FFFFFFFFFFFFFE -XX:-OmitStackTraceInFastThrow -XX:+PrintGCTimeStamps -XX:+PrintGCDateStamps -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=10 -XX:GCLogFileSize=1M</p>
+</li><li id="mrs_01_1018__l914342c6b1184719a7110111d7495b29">RegionServer:<p id="mrs_01_1018__aeee0d4588d734939a41a1e0c7f8b0aab"><a name="mrs_01_1018__l914342c6b1184719a7110111d7495b29"></a><a name="l914342c6b1184719a7110111d7495b29"></a>-server -Xms4G -Xmx4G -XX:NewSize=512M -XX:MaxNewSize=512M -XX:MetaspaceSize=128M -XX:MaxMetaspaceSize=512M -XX:MaxDirectMemorySize=512M -XX:+UseConcMarkSweepGC -XX:+CMSParallelRemarkEnabled -XX:CMSInitiatingOccupancyFraction=65 -XX:+PrintGCDetails -Dsun.rmi.dgc.client.gcInterval=0x7FFFFFFFFFFFFFE -Dsun.rmi.dgc.server.gcInterval=0x7FFFFFFFFFFFFFE -XX:-OmitStackTraceInFastThrow -XX:+PrintGCTimeStamps -XX:+PrintGCDateStamps -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=10 -XX:GCLogFileSize=1M</p>
+</li></ul>
+<p id="mrs_01_1018__p0619250164517">For MRS 3.<em id="mrs_01_1018__i107815281880">x</em> or later:</p>
+<ul id="mrs_01_1018__ul15626105011451"><li id="mrs_01_1018__li12626195018459">HMaster<p id="mrs_01_1018__p1962605054513"><a name="mrs_01_1018__li12626195018459"></a><a name="li12626195018459"></a>-server -Xms4G -Xmx4G -XX:NewSize=512M -XX:MaxNewSize=512M -XX:MetaspaceSize=128M -XX:MaxMetaspaceSize=512M -XX:+UseConcMarkSweepGC -XX:+CMSParallelRemarkEnabled -XX:CMSInitiatingOccupancyFraction=65 -XX:+PrintGCDetails -Dsun.rmi.dgc.client.gcInterval=0x7FFFFFFFFFFFFFE -Dsun.rmi.dgc.server.gcInterval=0x7FFFFFFFFFFFFFE -XX:-OmitStackTraceInFastThrow -XX:+PrintGCTimeStamps -XX:+PrintGCDateStamps -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=10 -XX:GCLogFileSize=1M</p>
+</li><li id="mrs_01_1018__li14626145014512">Region Server<p id="mrs_01_1018__p116265506459"><a name="mrs_01_1018__li14626145014512"></a><a name="li14626145014512"></a>-server -Xms6G -Xmx6G -XX:NewSize=1024M -XX:MaxNewSize=1024M -XX:MetaspaceSize=128M -XX:MaxMetaspaceSize=512M -XX:+UseConcMarkSweepGC -XX:+CMSParallelRemarkEnabled -XX:CMSInitiatingOccupancyFraction=65 -XX:+PrintGCDetails -Dsun.rmi.dgc.client.gcInterval=0x7FFFFFFFFFFFFFE -Dsun.rmi.dgc.server.gcInterval=0x7FFFFFFFFFFFFFE -XX:-OmitStackTraceInFastThrow -XX:+PrintGCTimeStamps -XX:+PrintGCDateStamps -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=10 -XX:GCLogFileSize=1M</p>
+</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_1018__r2a90471e506e4be0b2953cabe933970d"><td class="cellrowborder" valign="top" width="31.630000000000003%" headers="mcps1.3.3.2.1.4.2.4.1.1 "><p id="mrs_01_1018__en-us_topic_0116526926_p85737481170">hbase.regionserver.handler.count</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.92%" headers="mcps1.3.3.2.1.4.2.4.1.2 "><p id="mrs_01_1018__en-us_topic_0116526926_p233849511170">Indicates the number of requests that RegionServer can process concurrently. If the parameter is set to an excessively large value, threads will compete fiercely. If the parameter is set to an excessively small value, requests will be waiting for a long time in RegionServer, reducing the processing capability. You can add threads based on resources.</p>
+<p id="mrs_01_1018__en-us_topic_0116526926_p91379751170">It is recommended that the value be set to 100 to 300 based on the CPU usage.</p>
+</td>
+<td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.3.2.1.4.2.4.1.3 "><p id="mrs_01_1018__en-us_topic_0116526926_p19785191170">200</p>
+</td>
+</tr>
+<tr id="mrs_01_1018__r4b1b5a656a674dcc95857960f4b7a8f9"><td class="cellrowborder" valign="top" width="31.630000000000003%" headers="mcps1.3.3.2.1.4.2.4.1.1 "><p id="mrs_01_1018__en-us_topic_0116526926_p330543901170">hfile.block.cache.size</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.92%" headers="mcps1.3.3.2.1.4.2.4.1.2 "><p id="mrs_01_1018__en-us_topic_0116526926_p601599481170">HBase cache sizes affect query efficiency. Set cache sizes based on query modes and query record distribution. If random query is used to reduce the hit ratio of the buffer, you can reduce the buffer size.</p>
+</td>
+<td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.3.2.1.4.2.4.1.3 "><p id="mrs_01_1018__en-us_topic_0116526926_p411176261170">When <strong id="mrs_01_1018__b157231838388">offheap</strong> is disabled, the default value is <strong id="mrs_01_1018__b034018431189">0.25</strong>. When <strong id="mrs_01_1018__b190817471389">offheap</strong> is enabled, the default value is <strong id="mrs_01_1018__b1075118504815">0.1</strong>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_1018__nb161224c92a14851a8aac6cf7f806aac"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1018__a0eb32f05aa284e60b9e0004dcd7237d5">If read and write operations are performed at the same time, the performance of the two operations affects each other. If flush and compaction operations are frequently performed due to data writes, a large number of disk I/O operations are occupied, affecting read performance. If a large number of compaction operations are blocked due to write operations, multiple HFiles exist in the region, affecting read performance. Therefore, if the read performance is unsatisfactory, you need to check whether the write configurations are proper.</p>
+</div></div>
+</li><li id="mrs_01_1018__l59d5b7ac986e4824a4ce4d7256f0f7bc"><strong id="mrs_01_1018__b1193717331210">Data reading client tuning</strong><p id="mrs_01_1018__a2df91f76c6fe43e2aabc5a40a8411771">When scanning data, you need to set <strong id="mrs_01_1018__b179116982814">caching</strong> (the number of records read from the server at a time. The default value is <strong id="mrs_01_1018__b20239191615285">1</strong>.). If the default value is used, the read performance will be extremely low.</p>
+<p id="mrs_01_1018__ad9a43281e9e14ac4b9af664103586f63">If you do not need to read all columns of a piece of data, specify the columns to be read to reduce network I/O.</p>
+<p id="mrs_01_1018__ad7e58c842cca456abab0706ee561f29c">If you only need to read the row key, add a filter (FirstKeyOnlyFilter or KeyOnlyFilter) that only reads the row key.</p>
+</li><li id="mrs_01_1018__l033351bd4f2d4a1c8b56bbe8293fa371"><strong id="mrs_01_1018__b83731910102617">Data table reading design optimization</strong>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1018__t748e7b27a2ad436da61e1e8523d5548d" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Parameters affecting real-time data reading</caption><thead align="left"><tr id="mrs_01_1018__r1d93070f0a0348739c4973d837d2dc78"><th align="left" class="cellrowborder" valign="top" width="24%" id="mcps1.3.3.2.3.2.2.4.1.1"><p id="mrs_01_1018__a642bb99abd55490f8e72496f6e223b86"><strong id="mrs_01_1018__b1772265183016">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="54%" id="mcps1.3.3.2.3.2.2.4.1.2"><p id="mrs_01_1018__af36bde3dd71e4364b6285585413dedde"><strong id="mrs_01_1018__aa55c360ec91d46a2896ae5342ac68701">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="22%" id="mcps1.3.3.2.3.2.2.4.1.3"><p id="mrs_01_1018__aa52981af9c0047ed94abbd69e8758783"><strong id="mrs_01_1018__af125bd3f9dd54802bf807827867f16eb">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1018__r971ddf0288bf4f1fa4894f5e7c487294"><td class="cellrowborder" valign="top" width="24%" headers="mcps1.3.3.2.3.2.2.4.1.1 "><p id="mrs_01_1018__a4dee128175134b9ba24d0a834385bf56">COMPRESSION</p>
+</td>
+<td class="cellrowborder" valign="top" width="54%" headers="mcps1.3.3.2.3.2.2.4.1.2 "><p id="mrs_01_1018__a90a22b2257224c7c94ef7c8fbabb1327">The compression algorithm compresses blocks in HFiles. For compressible data, configure the compression algorithm to efficiently reduce disk I/Os and improve performance. </p>
+<div class="note" id="mrs_01_1018__n14e03159675e4eb283a8d7d57e1687bf"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1018__aca6a8aceb07b474da9d388f37fbd5425">Some data cannot be efficiently compressed. For example, a compressed figure can hardly be compressed again. The common compression algorithm is SNAPPY, because it has a high encoding/decoding speed and acceptable compression rate.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.3.2.3.2.2.4.1.3 "><p id="mrs_01_1018__a07e44e5d37d746c58ebce7ce9698118f">NONE</p>
+</td>
+</tr>
+<tr id="mrs_01_1018__rc495098a9bad46739316f7d807f62752"><td class="cellrowborder" valign="top" width="24%" headers="mcps1.3.3.2.3.2.2.4.1.1 "><p id="mrs_01_1018__acb6808d5e7ae42a0a1a6ccba9fbf99d0">BLOCKSIZE</p>
+</td>
+<td class="cellrowborder" valign="top" width="54%" headers="mcps1.3.3.2.3.2.2.4.1.2 "><p id="mrs_01_1018__a7e319dc59f5047c4a90b640e5eb02638">Different block sizes affect HBase data read and write performance. You can configure sizes for blocks in an HFile. Larger blocks have a higher compression rate. However, they have poor performance in random data read, because HBase reads data in a unit of blocks. </p>
+<p id="mrs_01_1018__a828e1bacebee4926b5e40cbdd647a67c">Set the parameter to 128 KB or 256 KB to improve data write efficiency without greatly affecting random read performance. The unit is byte.</p>
+</td>
+<td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.3.2.3.2.2.4.1.3 "><p id="mrs_01_1018__a5528829dce524a6fbc259d8d27fc20b9">65536</p>
+</td>
+</tr>
+<tr id="mrs_01_1018__r981da489972741ed98ea887870fcaaf7"><td class="cellrowborder" valign="top" width="24%" headers="mcps1.3.3.2.3.2.2.4.1.1 "><p id="mrs_01_1018__acf078e37b3254991b5274b91fe0c9390">DATA_BLOCK_ENCODING</p>
+</td>
+<td class="cellrowborder" valign="top" width="54%" headers="mcps1.3.3.2.3.2.2.4.1.2 "><p id="mrs_01_1018__ace1bf1bd3c754092a794bdc4bbd763cc">Encoding method of the block in an HFile. If a row contains multiple columns, set <strong id="mrs_01_1018__b204741115526">FAST_DIFF</strong> to save data storage space and improve performance.</p>
+</td>
+<td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.3.2.3.2.2.4.1.3 "><p id="mrs_01_1018__a8d34ab06bf0942a4b10ffda915e23179">NONE</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1013.html">HBase Performance Tuning</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1019"></a><a name="mrs_01_1019"></a>
+
+<h1 class="topictitle1">Optimizing JVM Parameters</h1>
+<div id="body1590128863846"><div class="section" id="mrs_01_1019__s1b2ee2c9093c4228adbfc35c6d501e70"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1019__a4d86a30ec10043a4b6e3f7efbbb83986">When the number of clusters reaches a certain scale, the default settings of the Java virtual machine (JVM) cannot meet the cluster requirements. In this case, the cluster performance deteriorates or the clusters may be unavailable. Therefore, JVM parameters must be properly configured based on actual service conditions to improve the cluster performance.</p>
+</div>
+<div class="section" id="mrs_01_1019__s610a064821c4401189c2543ed8a29269"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1019__ac0da95effa824662b7f301baea54e272"><strong id="mrs_01_1019__b111717583920">Navigation path for setting parameters:</strong></p>
+<p id="mrs_01_1019__a22cdd321b8fb448089450839cc461531">The JVM parameters related to the HBase role must be configured in the <strong id="mrs_01_1019__b10696132433614">hbase-env.sh</strong> file in the <strong id="mrs_01_1019__b15182231143616">${BIGDATA_HOME}/FusionInsight_HD_*/install/FusionInsight-HBase-2.2.3/hbase/conf/</strong> directory of the node where the HBase service is installed.</p>
+<p id="mrs_01_1019__aaa3a7f6af2bf4d44a62bd3ae98335ee4">Each role has JVM parameter configuration variables, as shown in <a href="#mrs_01_1019__t2451c7af790c44cc8f895f6d4dc68b55">Table 1</a>.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1019__t2451c7af790c44cc8f895f6d4dc68b55"></a><a name="t2451c7af790c44cc8f895f6d4dc68b55"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1019__t2451c7af790c44cc8f895f6d4dc68b55" frame="border" border="1" rules="all"><caption><b>Table 1 </b>HBase-related JVM parameter configuration variables</caption><thead align="left"><tr id="mrs_01_1019__r00cd51786a764f95925a541d03779c8a"><th align="left" class="cellrowborder" valign="top" width="37.78%" id="mcps1.3.2.5.2.3.1.1"><p id="mrs_01_1019__a2bdeb9e6c47d49d4aa136666ccb8ad6a"><strong id="mrs_01_1019__afd8a5faa85de4fad90c9f49979424189">Variable</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="62.22%" id="mcps1.3.2.5.2.3.1.2"><p id="mrs_01_1019__ac120df50e107409f8c31f415f398219a"><strong id="mrs_01_1019__a1624b3bdc94d446a9cd16d68a613488e">Affected Role</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1019__r9310baa316e74140b8d720b3aa9bcbcf"><td class="cellrowborder" valign="top" width="37.78%" headers="mcps1.3.2.5.2.3.1.1 "><p id="mrs_01_1019__a9b3021e8a34a4ad8b9140ac60451c5d9">HBASE_OPTS</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.22%" headers="mcps1.3.2.5.2.3.1.2 "><p id="mrs_01_1019__a19c9c11270cd4ca48bd9731a19fe1653">All roles of HBase</p>
+</td>
+</tr>
+<tr id="mrs_01_1019__raa9102e947f145aca22210ebe856b856"><td class="cellrowborder" valign="top" width="37.78%" headers="mcps1.3.2.5.2.3.1.1 "><p id="mrs_01_1019__af609aad877fb41d68153db7b42abca5f">SERVER_GC_OPTS</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.22%" headers="mcps1.3.2.5.2.3.1.2 "><p id="mrs_01_1019__a3a5e2ea1976f4c4cb531d8ffc01a5fa9">All roles on the HBase server, such as Master and RegionServer</p>
+</td>
+</tr>
+<tr id="mrs_01_1019__r997bbe12972145818ff6b90f7cd4635a"><td class="cellrowborder" valign="top" width="37.78%" headers="mcps1.3.2.5.2.3.1.1 "><p id="mrs_01_1019__a6f16c86c40c14b54ab4c532c99351e48">CLIENT_GC_OPTS</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.22%" headers="mcps1.3.2.5.2.3.1.2 "><p id="mrs_01_1019__a4b46dafa85f94d87891ee09429fc06f1">Client process of HBase</p>
+</td>
+</tr>
+<tr id="mrs_01_1019__rf6c68dbd6a2244f58bc35b7d45128fd4"><td class="cellrowborder" valign="top" width="37.78%" headers="mcps1.3.2.5.2.3.1.1 "><p id="mrs_01_1019__a51f086e44d4244e49c4490f554aad38d">HBASE_MASTER_OPTS</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.22%" headers="mcps1.3.2.5.2.3.1.2 "><p id="mrs_01_1019__a965cd245d40f48549618617129bfcf2e">Master of HBase</p>
+</td>
+</tr>
+<tr id="mrs_01_1019__rf9ed4feff013450ab6a1d50bcfd9aa16"><td class="cellrowborder" valign="top" width="37.78%" headers="mcps1.3.2.5.2.3.1.1 "><p id="mrs_01_1019__a1cc78bde251f450d9aaefcc6e20258c9">HBASE_REGIONSERVER_OPTS</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.22%" headers="mcps1.3.2.5.2.3.1.2 "><p id="mrs_01_1019__ae0863dab0fb245a19e2048f442467eaa">RegionServer of HBase</p>
+</td>
+</tr>
+<tr id="mrs_01_1019__r7c134b72de564890b1c553f80674fd69"><td class="cellrowborder" valign="top" width="37.78%" headers="mcps1.3.2.5.2.3.1.1 "><p id="mrs_01_1019__a829a47c852b34a1cad8061b95e3b3121">HBASE_THRIFT_OPTS</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.22%" headers="mcps1.3.2.5.2.3.1.2 "><p id="mrs_01_1019__adbabb89ad78f4b138e8c484e3043e24d">Thrift of HBase</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1019__aec1bddb971184774bcc87b5544b204c8"><strong id="mrs_01_1019__aada8fde242bd45f6b253371c0f5396ff">Configuration example:</strong></p>
+<pre class="screen" id="mrs_01_1019__s46b5f296ab944f99a77efd7f41dfd8da">export HADOOP_NAMENODE_OPTS="-Dhadoop.security.logger=${HADOOP_SECURITY_LOGGER:-INFO,RFAS} -Dhdfs.audit.logger=${HDFS_AUDIT_LOGGER:-INFO,NullAppender} $HADOOP_NAMENODE_OPTS"</pre>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1013.html">HBase Performance Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1020.html b/docs/mrs/component-operation-guide/mrs_01_1020.html
new file mode 100644
index 000000000..e34c64428
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+++ b/docs/mrs/component-operation-guide/mrs_01_1020.html
@@ -0,0 +1,18 @@
+<a name="mrs_01_1020"></a><a name="mrs_01_1020"></a>
+
+<h1 class="topictitle1">Using Hue from Scratch</h1>
+<div id="body1590118096610"><p id="mrs_01_1020__a5534209d8dc14173acad83522e6d3a36">Hue provides the file browser function using a graphical user interface (GUI) so that you can view files and directories on Hive.</p>
+<div class="section" id="mrs_01_1020__section12630202618440"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_1020__p1111333015011">You have installed Hive and Hue, and the Kerberos authentication cluster in the running state.</p>
+</div>
+<div class="section" id="mrs_01_1020__section13302161334511"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1020__ol18473124685314"><li id="mrs_01_1020__li8812166235"><span>Access the Hue web UI. For details, see <a href="mrs_01_0370.html">Accessing the Hue Web UI</a>.</span></li><li id="mrs_01_1020__li874802051810"><span>Open the Hue web UI and choose <span class="menucascade" id="mrs_01_1020__menucascade14457125653111"><b><span class="uicontrol" id="mrs_01_1020__uicontrol10457156193115">Query Editors</span></b> &gt; <b><span class="uicontrol" id="mrs_01_1020__uicontrol1145725612313">Hive</span></b></span>.</span></li><li id="mrs_01_1020__li55366463145244"><span>In <span class="uicontrol" id="mrs_01_1020__uicontrol1489512183319"><b>Databases</b></span>, select a Hive database, the default database is <span class="parmvalue" id="mrs_01_1020__parmvalue34652220145244"><b>default</b></span>.</span><p><p id="mrs_01_1020__p43434531145244">The system displays all available tables. You can enter a keyword of the table name to search for the desired table.</p>
+</p></li><li id="mrs_01_1020__li29724435145244"><span>Click the desired table name. All columns in the table are displayed.</span></li><li id="mrs_01_1020__li62672328145244"><a name="mrs_01_1020__li62672328145244"></a><a name="li62672328145244"></a><span>Enter the HiveQL statements in the area for editing.</span><p><p id="mrs_01_1020__p2898016211519"><strong id="mrs_01_1020__b8308122114105">create table hue_table(id int,name string,company string) row format delimited fields terminated by ',' stored as textfile;</strong></p>
+<p id="mrs_01_1020__p51702834145244">Click <span><img id="mrs_01_1020__image1461310445470" src="en-us_image_0000001349090137.jpg"></span> and select <span class="uicontrol" id="mrs_01_1020__uicontrol27316963215"><b>Explain</b></span>. The editor checks the syntax and execution plan of the entered HiveQL statements. If the statements have syntax errors, the editor reports <span class="parmvalue" id="mrs_01_1020__parmvalue28114380145244"><b>Error while compiling statement</b></span>.</p>
+</p></li><li id="mrs_01_1020__li3950929145244"><span>Click <span><img id="mrs_01_1020__image18459851421" src="en-us_image_0000001296249940.png"></span>, and select the engine for executing the HiveQL statements.</span></li><li id="mrs_01_1020__li785310218562"><span>Click <span><img id="mrs_01_1020__image152120534504" src="en-us_image_0000001296090292.jpg"></span> to execute the HiveQL statements.</span></li><li id="mrs_01_1020__li30024392115137"><span>In the command text box, enter <strong id="mrs_01_1020__b27071415151023">show tables;</strong> and click <span><img id="mrs_01_1020__image25522852115137" src="en-us_image_0000001295770504.png"></span>. Check whether the <strong id="mrs_01_1020__b34471899479">hue-table</strong> table created in <a href="#mrs_01_1020__li62672328145244">5</a> exists in the result.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0369.html">Using Hue (Versions Earlier Than MRS 3.x)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1021.html b/docs/mrs/component-operation-guide/mrs_01_1021.html
new file mode 100644
index 000000000..f09c5afaa
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1021.html
@@ -0,0 +1,81 @@
+<a name="mrs_01_1021"></a><a name="mrs_01_1021"></a>
+
+<h1 class="topictitle1">Hue Common Parameters</h1>
+<div id="body1590371190043"><div class="section" id="mrs_01_1021__sbf1ae38a5a0a4383ab2c7a7c314c0418"><h4 class="sectiontitle">Navigation Path</h4><p id="mrs_01_1021__p11526143493219">For details about how to set parameters, see <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+</div>
+<div class="section" id="mrs_01_1021__s461a05072d784dbd877ed4d0f143904c"><h4 class="sectiontitle">Parameters</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1021__t7018ca0013604e85adf24a3af0e1e47d" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Hue common parameters</caption><thead align="left"><tr id="mrs_01_1021__r6ce39319d5134f3fb66fb96b1f8d0d7f"><th align="left" class="cellrowborder" valign="top" width="29.14%" id="mcps1.3.2.2.2.5.1.1"><p id="mrs_01_1021__a653967335f634ec2aadaa7a463c0ab9f">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="34.96%" id="mcps1.3.2.2.2.5.1.2"><p id="mrs_01_1021__acb67bd1b9a154cbc99d5b844247d1232">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="14.66%" id="mcps1.3.2.2.2.5.1.3"><p id="mrs_01_1021__a867cd9813f934cceb6c8f3a18d90c800">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="21.240000000000002%" id="mcps1.3.2.2.2.5.1.4"><p id="mrs_01_1021__a86736f77ab0441bd97d7eff78d67f059">Value Range</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1021__r49bf546209bd45fbbaea25f3f51c467b"><td class="cellrowborder" valign="top" width="29.14%" headers="mcps1.3.2.2.2.5.1.1 "><p id="mrs_01_1021__aeb5b24530a844687b88a6377af87d4c6">HANDLER_ACCESSLOG_LEVEL</p>
+</td>
+<td class="cellrowborder" valign="top" width="34.96%" headers="mcps1.3.2.2.2.5.1.2 "><p id="mrs_01_1021__aa5b4c34e514f450e9dcc3096abaa1fc4">Hue access log level</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.66%" headers="mcps1.3.2.2.2.5.1.3 "><p id="mrs_01_1021__adf7ff32f7f8d4e0ea3b704a9d755d63b">DEBUG</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.2.2.5.1.4 "><ul id="mrs_01_1021__uad2647c64ce840868a5b215aab0baded"><li id="mrs_01_1021__lbc3026bbb6e7409ab407f60e74e1e347">ERROR</li><li id="mrs_01_1021__l085e915297be4b6bbb84ddda2300033f">WARN</li><li id="mrs_01_1021__l90ca46303a1d4d41b2c7afe3a1569aad">INFO</li><li id="mrs_01_1021__l480eac3852734afa9386f4d1c25a3af9">DEBUG</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_1021__rcaa2dade3482414e83142c97b4c9c1b6"><td class="cellrowborder" valign="top" width="29.14%" headers="mcps1.3.2.2.2.5.1.1 "><p id="mrs_01_1021__a68c55b2ddb114e9c9752d6fc738c2712">HANDLER_AUDITSLOG_LEVEL</p>
+</td>
+<td class="cellrowborder" valign="top" width="34.96%" headers="mcps1.3.2.2.2.5.1.2 "><p id="mrs_01_1021__a77d5269d47954647bfd9e5ec0f84c50a">Hue audit log level</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.66%" headers="mcps1.3.2.2.2.5.1.3 "><p id="mrs_01_1021__a24a2322a7a994f3f9a7b983f59ffabca">DEBUG</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.2.2.5.1.4 "><ul id="mrs_01_1021__ub166c30fd249422eb470dc19e5e6b3a0"><li id="mrs_01_1021__lddbf176e123746e9a679619824f54142">ERROR</li><li id="mrs_01_1021__lec77e2bc5c1a41f09d0a0691e264e18b">WARN</li><li id="mrs_01_1021__lc25be13604364fdc912505defb51811c">INFO</li><li id="mrs_01_1021__l2d351801fd0d4df1b3797ba2ff5f0135">DEBUG</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_1021__r803eded6cc0145f0b756476487956531"><td class="cellrowborder" valign="top" width="29.14%" headers="mcps1.3.2.2.2.5.1.1 "><p id="mrs_01_1021__adc034fb3df8b4de68963afb9f4c6d505">HANDLER_ERRORLOG_LEVEL</p>
+</td>
+<td class="cellrowborder" valign="top" width="34.96%" headers="mcps1.3.2.2.2.5.1.2 "><p id="mrs_01_1021__a8d8e5ecd43b5467ebd1de963f9672736">Hue error log level</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.66%" headers="mcps1.3.2.2.2.5.1.3 "><p id="mrs_01_1021__ada3c1f85c55e4140997d58b2c4828d38">ERROR</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.2.2.5.1.4 "><ul id="mrs_01_1021__u1f72774e9a44443d9cec57325eb13cff"><li id="mrs_01_1021__lde3efa7cebdd44b4a05e479c14f8f96d">ERROR</li><li id="mrs_01_1021__la94488597d55405287a937833597e594">WARN</li><li id="mrs_01_1021__l98434e5366a4483e8ce0e013e7a621be">INFO</li><li id="mrs_01_1021__le65394b9d9e746d59ce6faf17fd4a9ff">DEBUG</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_1021__rb7fed52d64574ec48213f99e070eaea1"><td class="cellrowborder" valign="top" width="29.14%" headers="mcps1.3.2.2.2.5.1.1 "><p id="mrs_01_1021__a03e471016bc34ddda808d2c6140e6812">HANDLER_LOGFILE_LEVEL</p>
+</td>
+<td class="cellrowborder" valign="top" width="34.96%" headers="mcps1.3.2.2.2.5.1.2 "><p id="mrs_01_1021__a6e2ed7994da84454a5fb7ab93213d2f6">Hue run log level</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.66%" headers="mcps1.3.2.2.2.5.1.3 "><p id="mrs_01_1021__a0fb1a50ece5b4113bb22960b43fba01d">INFO</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.2.2.5.1.4 "><ul id="mrs_01_1021__u56c949ca90e74dd489371470771e431d"><li id="mrs_01_1021__l7a57fda626cd463e81acb2ff6185e30c">ERROR</li><li id="mrs_01_1021__l9b23355ce1e24b89af0c19780e17d065">WARN</li><li id="mrs_01_1021__lf059c7c335604e0a807c1dfe71349926">INFO</li><li id="mrs_01_1021__l6ea8db68a9ec4f55ac26d61f543ca73d">DEBUG</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_1021__row241181912225"><td class="cellrowborder" valign="top" width="29.14%" headers="mcps1.3.2.2.2.5.1.1 "><p id="mrs_01_1021__p28451225152214">HANDLER_LOGFILE_MAXBACKUPINDEX</p>
+</td>
+<td class="cellrowborder" valign="top" width="34.96%" headers="mcps1.3.2.2.2.5.1.2 "><p id="mrs_01_1021__p0412191972218">Maximum number of Hue log files.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.66%" headers="mcps1.3.2.2.2.5.1.3 "><p id="mrs_01_1021__p14413201917223">20</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.2.2.5.1.4 "><p id="mrs_01_1021__p10413121992217">1 to 999</p>
+</td>
+</tr>
+<tr id="mrs_01_1021__row432817236"><td class="cellrowborder" valign="top" width="29.14%" headers="mcps1.3.2.2.2.5.1.1 "><p id="mrs_01_1021__p103211119239">HANDLER_LOGFILE_SIZE</p>
+</td>
+<td class="cellrowborder" valign="top" width="34.96%" headers="mcps1.3.2.2.2.5.1.2 "><p id="mrs_01_1021__p4321412233">Maximum size of a Hue log file.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.66%" headers="mcps1.3.2.2.2.5.1.3 "><p id="mrs_01_1021__p732171172310">5 MB</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.2.2.5.1.4 "><p id="mrs_01_1021__p632318233">-</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0369.html">Using Hue (Versions Earlier Than MRS 3.x)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1031.html b/docs/mrs/component-operation-guide/mrs_01_1031.html
new file mode 100644
index 000000000..1cbb344cc
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1031.html
@@ -0,0 +1,43 @@
+<a name="mrs_01_1031"></a><a name="mrs_01_1031"></a>
+
+<h1 class="topictitle1">Using Kafka from Scratch</h1>
+<div id="body1590118474320"><div class="section" id="mrs_01_1031__section43461647164218"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1031__p8060118">You can create, query, and delete topics on a cluster client. </p>
+</div>
+<div class="section" id="mrs_01_1031__section1022821213273"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_1031__p614503812278">The client has been installed. For example, the client is installed in the <strong id="mrs_01_1031__b53165215138">/opt/hadoopclient</strong> directory. The client directory in the following operations is only an example. Change it to the actual installation directory.</p>
+</div>
+<div class="section" id="mrs_01_1031__section179001923123114"><h4 class="sectiontitle">Using the Kafka Client (Versions Earlier Than MRS 3.x)</h4><ol id="mrs_01_1031__ol62572327321"><li id="mrs_01_1031__li13806122116487"><span>Access the ZooKeeper instance page.</span><p><ul id="mrs_01_1031__ul1692910323486"><li id="mrs_01_1031__li792916322486">For versions earlier than MRS 1.9.2, log in to MRS Manager and choose <strong id="mrs_01_1031__b1584916171418">Services</strong> &gt; <strong id="mrs_01_1031__b2090181614141">ZooKeeper</strong> &gt; <strong id="mrs_01_1031__b179071612143">Instance</strong>.</li><li id="mrs_01_1031__li979413816488">For MRS 1.9.2 or later to versions earlier than 3.x, click the cluster name on the MRS console and choose <strong id="mrs_01_1031__b56141727181418">Components</strong> &gt; <strong id="mrs_01_1031__b562032781420">ZooKeeper</strong> &gt; <strong id="mrs_01_1031__b2620122751416">Instances</strong>.<div class="note" id="mrs_01_1031__note1664505711110"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1031__p158007468574">If the <strong id="mrs_01_1031__b33924111304">Components</strong> tab is unavailable, complete IAM user synchronization first. (On the <strong id="mrs_01_1031__b1239291112016">Dashboard</strong> page, click <strong id="mrs_01_1031__b939315111101">Synchronize</strong> on the right side of <span class="parmname" id="mrs_01_1031__parmname73938113016"><b>IAM User Sync</b></span> to synchronize IAM users.)</p>
+</div></div>
+</li></ul>
+</p></li><li id="mrs_01_1031__l2f4a4c4b2bbb427a890864b6ae357ea8"><span>View the IP addresses of the ZooKeeper role instance.</span><p><p id="mrs_01_1031__a2c7ffa9191bf467cb17b66c27ef78e5a">Record any IP address of the ZooKeeper instance.</p>
+</p></li><li id="mrs_01_1031__l9b2a798722044c01975eaaee4bebd7dd"><span>Log in to the node where the client is installed.</span></li><li id="mrs_01_1031__l14680ebec7694c71a1e3056f9ae0f72b"><span>Run the following command to switch to the client directory, for example, <strong id="mrs_01_1031__b94710385151">/opt/hadoopclient/Kafka/kafka/bin</strong>.</span><p><p id="mrs_01_1031__af3976b170fc4424ba173ec0c73381a13"><strong id="mrs_01_1031__b295019434">cd /opt/hadoopclient/Kafka/kafka/bin</strong></p>
+</p></li><li id="mrs_01_1031__l9974bee6f19240e692c4157eeab1a308"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_1031__abf436e581670449ca4950d9225d58143"><strong id="mrs_01_1031__b571916241312">source /opt/hadoopclient/bigdata_env</strong></p>
+</p></li><li id="mrs_01_1031__li1215513270361"><span>If Kerberos authentication is enabled for the current cluster, run the following command to authenticate the current user. If Kerberos authentication is disabled for the current cluster, skip this step.</span><p><p id="mrs_01_1031__p1678314421362"><strong id="mrs_01_1031__b1282141319180">kinit</strong> <em id="mrs_01_1031__i9985122951911">Kafka user</em></p>
+</p></li><li id="mrs_01_1031__li1147589014556"><a name="mrs_01_1031__li1147589014556"></a><a name="li1147589014556"></a><span>Create a topic.</span><p><p id="mrs_01_1031__p3617414814556"><strong id="mrs_01_1031__b17303132094019">sh kafka-topics.sh --create --topic </strong><em id="mrs_01_1031__i193111620194014">Topic name</em><strong id="mrs_01_1031__b15303192054017"> --partitions</strong> <em id="mrs_01_1031__aa940a246ae2e42c7bbff2dca5878a13f">Number of partitions occupied by the topic</em> <strong id="mrs_01_1031__b1122717119010">--replication-factor</strong> <em id="mrs_01_1031__a31cb2d75a02c4813a2de4393fd9a12ea">Number of replicas of the topic</em> <strong id="mrs_01_1031__b1686617281503">--zookeeper</strong> <em id="mrs_01_1031__adcf559b8c1194c6881c1c7c7b715c203">IP address of the node where the ZooKeeper instance resides<strong id="mrs_01_1031__b15929114214020">:</strong>clientPort</em><strong id="mrs_01_1031__a82a1c91d46d2459d82cf7205264a9db6">/kafka</strong></p>
+<p id="mrs_01_1031__p96347471817">Example: <strong id="mrs_01_1031__b13655235916">sh kafka-topics.sh --create --topic </strong><strong id="mrs_01_1031__b1474852918246">TopicTest</strong><strong id="mrs_01_1031__b1965516316915"> --partitions</strong> <strong id="mrs_01_1031__b582936122412">3</strong> <strong id="mrs_01_1031__b1165517314915">--replication-factor</strong> <strong id="mrs_01_1031__b2788245202420">3</strong> <strong id="mrs_01_1031__b196551934919">--zookeeper</strong> <strong id="mrs_01_1031__b1430819532248">10.10.10.100:2181</strong><strong id="mrs_01_1031__b1865653895">/kafka</strong></p>
+</p></li><li id="mrs_01_1031__li4442485714556"><span>Run the following command to view the topic information in the cluster:</span><p><p id="mrs_01_1031__p15751135191215"><strong id="mrs_01_1031__b10171455171212">sh kafka-topics.sh --list --zookeeper </strong><em id="mrs_01_1031__i9173135511220">IP address of the node where the ZooKeeper instance resides<strong id="mrs_01_1031__b9111031204818">:</strong>clientPort</em><strong id="mrs_01_1031__b14172955171212">/kafka</strong></p>
+<p id="mrs_01_1031__p954781332312">Example: <strong id="mrs_01_1031__b18959135182315">sh kafka-topics.sh --list --zookeeper </strong><strong id="mrs_01_1031__b176397510243">10.10.10.100:2181</strong><strong id="mrs_01_1031__b1295915350232">/kafka</strong></p>
+</p></li><li id="mrs_01_1031__li1769484514556"><span>Delete the topic created in <a href="#mrs_01_1031__li1147589014556">7</a>.</span><p><p id="mrs_01_1031__p2503588514556"><strong id="mrs_01_1031__b184631439804">sh kafka-topics.sh --delete --topic</strong> <em id="mrs_01_1031__a3bb92ab95f644f1bae029b234b16f195">Topic name</em> <strong id="mrs_01_1031__b1665818581108">--zookeeper</strong> <em id="mrs_01_1031__a5e852321e9b846e2bb3e069d5afa7c86">IP address of the node where the ZooKeeper instance resides</em>:<em id="mrs_01_1031__a39646f6f17374119b87533c396460803">clientPort</em><strong id="mrs_01_1031__ade536fe9693d41518b0dcd8943091491">/kafka</strong></p>
+<p id="mrs_01_1031__p0169143162511">Example: <strong id="mrs_01_1031__b8432162416256">sh kafka-topics.sh --delete --topic</strong> <strong id="mrs_01_1031__b19620740142519">TopicTest</strong> <strong id="mrs_01_1031__b114331924192518">--zookeeper</strong> <strong id="mrs_01_1031__b14679175682511">10.10.10.100:2181</strong><strong id="mrs_01_1031__b6433102410259">/kafka</strong></p>
+<p id="mrs_01_1031__p71201059288">Type <strong id="mrs_01_1031__b12144530121920">y</strong> and press <strong id="mrs_01_1031__b1144530111913">Enter</strong>.</p>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_1031__section2695144004617"><h4 class="sectiontitle">Using the Kafka Client (MRS 3.x or Later)</h4><ol id="mrs_01_1031__ol1980725416469"><li id="mrs_01_1031__li1280725416467"><span>Access the ZooKeeper instance page.</span><p><p id="mrs_01_1031__p041836175710">Log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. Choose <strong id="mrs_01_1031__b1212106633111149">Cluster</strong> &gt; <em id="mrs_01_1031__i846383776111149">Name of the desired cluster</em> &gt; <strong id="mrs_01_1031__b959103026111149">Services</strong> &gt; <strong id="mrs_01_1031__b781653376111149">ZooKeeper</strong> &gt; <strong id="mrs_01_1031__b472259796111149">Instance</strong>.</p>
+</p></li><li id="mrs_01_1031__li118082541465"><span>View the IP addresses of the ZooKeeper role instance.</span><p><p id="mrs_01_1031__p98081854134614">Record any IP address of the ZooKeeper instance.</p>
+</p></li><li id="mrs_01_1031__li14808105414460"><span>Log in to the node where the client is installed.</span></li><li id="mrs_01_1031__li16808115412465"><span>Run the following command to switch to the client directory, for example, <strong id="mrs_01_1031__b189513124168">/opt/hadoopclient/Kafka/kafka/bin</strong>.</span><p><p id="mrs_01_1031__p7808165412465"><strong id="mrs_01_1031__b8808165415468">cd /opt/hadoopclient/Kafka/kafka/bin</strong></p>
+</p></li><li id="mrs_01_1031__li17808195411460"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_1031__p188084545468"><strong id="mrs_01_1031__b380818549466">source /opt/hadoopclient/bigdata_env</strong></p>
+</p></li><li id="mrs_01_1031__li174606506355"><span>If Kerberos authentication is enabled for the current cluster, run the following command to authenticate the current user. If Kerberos authentication is disabled for the current cluster, skip this step.</span><p><p id="mrs_01_1031__p227711443610"><strong id="mrs_01_1031__b427203417">kinit</strong> <em id="mrs_01_1031__i983292940">Kafka user</em></p>
+</p></li><li id="mrs_01_1031__li156781252154418"><span>Log in to FusionInsight Manager, choose <strong id="mrs_01_1031__b1219194213292">Cluster</strong> &gt; <strong id="mrs_01_1031__b5287947162912">Name of the desired cluster</strong> &gt; <strong id="mrs_01_1031__b1544115518291">Services</strong> &gt; <strong id="mrs_01_1031__b71708109303">ZooKeeper</strong>, and click the <strong id="mrs_01_1031__b19138935143014">Configurations</strong> tab and then <strong id="mrs_01_1031__b02301346183020">All Configurations</strong>. On the displayed page, search for the <strong id="mrs_01_1031__b1639633619320">clientPort</strong> parameter and record its value.</span></li><li id="mrs_01_1031__li4808125415465"><a name="mrs_01_1031__li4808125415465"></a><a name="li4808125415465"></a><span>Create a topic.</span><p><p id="mrs_01_1031__p280865464613"><strong id="mrs_01_1031__b1859216522">sh kafka-topics.sh --create --topic </strong><em id="mrs_01_1031__i2045577658">Topic name</em><strong id="mrs_01_1031__b552546681"> --partitions</strong> <em id="mrs_01_1031__i313359955">Number of partitions occupied by the topic</em> <strong id="mrs_01_1031__b1372144023">--replication-factor</strong> <em id="mrs_01_1031__i150099588">Number of replicas of the topic</em> <strong id="mrs_01_1031__b1509194707">--zookeeper</strong> <em id="mrs_01_1031__i1378560812">IP address of the node where the ZooKeeper instance resides<strong id="mrs_01_1031__b701656545">:</strong>clientPort</em><strong id="mrs_01_1031__b958412839">/kafka</strong></p>
+<p id="mrs_01_1031__p1430419652918">Example: <strong id="mrs_01_1031__b10187154352612">sh kafka-topics.sh --create --topic </strong><strong id="mrs_01_1031__b61882435260">TopicTest</strong><strong id="mrs_01_1031__b201911143142613"> --partitions</strong> <strong id="mrs_01_1031__b1319112436267">3</strong> <strong id="mrs_01_1031__b19192143182615">--replication-factor</strong> <strong id="mrs_01_1031__b13192174322615">3</strong> <strong id="mrs_01_1031__b141922043202613">--zookeeper</strong> <strong id="mrs_01_1031__b121941743172610">10.10.10.100:2181</strong><strong id="mrs_01_1031__b2194134332614">/kafka</strong></p>
+</p></li><li id="mrs_01_1031__li08091154164619"><span>Run the following command to view the topic information in the cluster:</span><p><p id="mrs_01_1031__p5809154164618"><strong id="mrs_01_1031__b1626690109">sh kafka-topics.sh --list --zookeeper </strong><em id="mrs_01_1031__i782242570">IP address of the node where the ZooKeeper instance resides<strong id="mrs_01_1031__b1034254278">:</strong>clientPort</em><strong id="mrs_01_1031__b1751409297">/kafka</strong></p>
+<p id="mrs_01_1031__p4889155022918">Example: <strong id="mrs_01_1031__b2225114713266">sh kafka-topics.sh --list --zookeeper </strong><strong id="mrs_01_1031__b7226547162619">10.10.10.100:2181</strong><strong id="mrs_01_1031__b422654715262">/kafka</strong></p>
+</p></li><li id="mrs_01_1031__li19809195411460"><span>Delete the topic created in <a href="#mrs_01_1031__li4808125415465">8</a>.</span><p><p id="mrs_01_1031__p4809135464615"><strong id="mrs_01_1031__b1696493876">sh kafka-topics.sh --delete --topic</strong> <em id="mrs_01_1031__i237043267">Topic name</em> <strong id="mrs_01_1031__b1218425419">--zookeeper</strong> <em id="mrs_01_1031__i881437892">IP address of the node where the ZooKeeper instance resides</em>:<em id="mrs_01_1031__i1853764335">clientPort</em><strong id="mrs_01_1031__b482209164">/kafka</strong></p>
+<p id="mrs_01_1031__p12952121313301">Example: <strong id="mrs_01_1031__b1596974852616">sh kafka-topics.sh --delete --topic</strong> <strong id="mrs_01_1031__b7970748162612">TopicTest</strong> <strong id="mrs_01_1031__b13970154812269">--zookeeper</strong> <strong id="mrs_01_1031__b2097194842610">10.10.10.100:2181</strong><strong id="mrs_01_1031__b497110484266">/kafka</strong></p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0375.html">Using Kafka</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1032.html b/docs/mrs/component-operation-guide/mrs_01_1032.html
new file mode 100644
index 000000000..28b512c41
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1032.html
@@ -0,0 +1,47 @@
+<a name="mrs_01_1032"></a><a name="mrs_01_1032"></a>
+
+<h1 class="topictitle1">Creating a Kafka Role</h1>
+<div id="body1590133653330"><div class="section" id="mrs_01_1032__sbc30082d821d4b1099fd200b9d875239"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1032__aeed1d3ec23234cb2bcddc520171402b7">This section describes how to create and configure a Kafka role.</p>
+<p id="mrs_01_1032__p1944684185813">This section applies to MRS 3.x or later.</p>
+</div>
+<div class="note" id="mrs_01_1032__n29c1b1a00b05409db5744f05b20ff015"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1032__a00e7ff6224244911883c53f4912abba8">Users can create Kafka roles only in security mode.</p>
+<p id="mrs_01_1032__p1276581555">If the current component uses Ranger for permission control, you need to configure permission management policies based on Ranger. For details, see <a href="mrs_01_1861.html">Adding a Ranger Access Permission Policy for Kafka</a>.</p>
+</div></div>
+<div class="section" id="mrs_01_1032__seab5c17fe0114e658ff1740e828d76e7"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_1032__p144134955510">The system administrator has understood the service requirements.</p>
+</div>
+<div class="section" id="mrs_01_1032__section865105193019"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1032__o6536c1fccc3f4a48abe1020fbb82a2b1"><li id="mrs_01_1032__l42a6593d7496460584caffa59ce793fa"><span>Log in to FusionInsight Manager and choose <strong id="mrs_01_1032__b171711542104212">System</strong> &gt; <strong id="mrs_01_1032__b1415574414216">Permission</strong> &gt; <strong id="mrs_01_1032__b1736144618425">Role</strong>.</span></li><li id="mrs_01_1032__l48758865b7134c5180ee9cd098d62358"><span>On the displayed page, click <strong id="mrs_01_1032__b10617136733957">Create Role</strong> and enter a <strong id="mrs_01_1032__b214488231333957">Role Name</strong> and <strong id="mrs_01_1032__b207060700733957">Description</strong>.</span></li><li id="mrs_01_1032__li03791051132013"><span>On the <strong id="mrs_01_1032__b34071636144316">Configure Resource Permission</strong> page, choose <em id="mrs_01_1032__i15412153619433">Name of the desired cluster</em> &gt; <strong id="mrs_01_1032__b20413536194320">Kafka</strong>.</span></li><li id="mrs_01_1032__l7186161e0bef46d2b0bbba48f47811cd"><span>Select permissions based on service requirements. For details about configuration items, see <a href="#mrs_01_1032__table25376475282">Table 1</a>.</span><p>
+<div class="tablenoborder"><a name="mrs_01_1032__table25376475282"></a><a name="table25376475282"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1032__table25376475282" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Description</caption><thead align="left"><tr id="mrs_01_1032__row145381247152817"><th align="left" class="cellrowborder" valign="top" width="39.09%" id="mcps1.3.4.2.4.2.1.2.3.1.1"><p id="mrs_01_1032__p45386472286"><strong id="mrs_01_1032__b4200856125117">Scenario</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="60.91%" id="mcps1.3.4.2.4.2.1.2.3.1.2"><p id="mrs_01_1032__p1334011246306"><strong id="mrs_01_1032__b7252617524">Role Authorization</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1032__row1453844742812"><td class="cellrowborder" valign="top" width="39.09%" headers="mcps1.3.4.2.4.2.1.2.3.1.1 "><p id="mrs_01_1032__p1538164712286">Setting the Kafka administrator permissions</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.91%" headers="mcps1.3.4.2.4.2.1.2.3.1.2 "><p id="mrs_01_1032__p10137194312338">In the <strong id="mrs_01_1032__b17773161415455">Configure Resource Permission</strong> table, choose <em id="mrs_01_1032__i187781214164519">Name of the desired cluster</em> &gt; <strong id="mrs_01_1032__b177784143453">Kafka </strong>&gt; <strong id="mrs_01_1032__b67781814104510">Kafka Manager Privileges</strong>.</p>
+<div class="note" id="mrs_01_1032__note6859201317246"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1032__p172316258278">This permission allows you to create and delete topics, but does not allow you to produce or consume any topics.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1032__row17538647112817"><td class="cellrowborder" valign="top" width="39.09%" headers="mcps1.3.4.2.4.2.1.2.3.1.1 "><p id="mrs_01_1032__p6539121692914">Setting the production permission of a user on a topic</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.91%" headers="mcps1.3.4.2.4.2.1.2.3.1.2 "><ol type="a" id="mrs_01_1032__ol198671735324"><li id="mrs_01_1032__li15867173133219">In the <strong id="mrs_01_1032__b17501138184511">Configure Resource Permission</strong> table, choose <em id="mrs_01_1032__i10506163864514">Name of the desired cluster</em> &gt; <strong id="mrs_01_1032__b135061438144516">Kafka </strong>&gt; <strong id="mrs_01_1032__b4507113817459">Kafka Topic Producer And Consumer Privileges</strong>.</li><li id="mrs_01_1032__li11867632327">In the <strong id="mrs_01_1032__b114325407833957">Permission </strong>column of the specified topic, select <strong id="mrs_01_1032__b5743475633957">Kafka Producer Permission</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1032__row4538104742810"><td class="cellrowborder" valign="top" width="39.09%" headers="mcps1.3.4.2.4.2.1.2.3.1.1 "><p id="mrs_01_1032__p3717421182914">Setting the consumption permission of a user on a topic</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.91%" headers="mcps1.3.4.2.4.2.1.2.3.1.2 "><ol type="a" id="mrs_01_1032__ol595216331354"><li id="mrs_01_1032__li2953153313352">In the <strong id="mrs_01_1032__b165972566459">Configure Resource Permission</strong> table, choose <em id="mrs_01_1032__i4602145614513">Name of the desired cluster</em> &gt; <strong id="mrs_01_1032__b1260275654512">Kafka </strong>&gt; <strong id="mrs_01_1032__b56024568453">Kafka Topic Producer And Consumer Privileges</strong>.</li><li id="mrs_01_1032__li17953153315356">In the <strong id="mrs_01_1032__b198628850633957">Permission </strong>column of the specified topic, select <strong id="mrs_01_1032__b207668536833957">Kafka Consumer Privileges</strong>.</li></ol>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_1032__l85da2df4496c447ebe9958a68d8318e8"><span>Click <strong id="mrs_01_1032__b8693565733957">OK</strong>, and return to the <strong id="mrs_01_1032__b162785363633957">Role</strong> page.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0375.html">Using Kafka</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1033.html b/docs/mrs/component-operation-guide/mrs_01_1033.html
new file mode 100644
index 000000000..dc0c459d6
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1033.html
@@ -0,0 +1,229 @@
+<a name="mrs_01_1033"></a><a name="mrs_01_1033"></a>
+
+<h1 class="topictitle1">Kafka Common Parameters</h1>
+<div id="body1590133653336"><p id="mrs_01_1033__p97034173518">This section applies to MRS 3.x or later.</p>
+<div class="section" id="mrs_01_1033__section12987170151213"><h4 class="sectiontitle">Navigation path for setting parameters:</h4><p id="mrs_01_1033__p11526143493219">For details about how to set parameters, see <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+</div>
+<div class="section" id="mrs_01_1033__s584f59065857469f905512880dc5fb7d"><h4 class="sectiontitle">Common Parameters</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1033__t6be371425c5c43bdb59c1579fc4d0613" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1033__r0dab1abbb04e4b68936487aae94542c0"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.2.2.4.1.1"><p id="mrs_01_1033__a8674b95ef1f64311b550b9f535f87f01">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.2.2.4.1.2"><p id="mrs_01_1033__ae68798057813463886d95560ea64ed59">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.2.2.4.1.3"><p id="mrs_01_1033__a8126d37f52b6435fa8858d5f83de3172">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1033__ra518df23f43a4f08be47df4a6496b75e"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.2.4.1.1 "><p id="mrs_01_1033__a31ed5c81b9f946cd844b3b5514e817c3">log.dirs</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.2.4.1.2 "><p id="mrs_01_1033__ad2141a9e4bce4069928ebc38d3242123">List of Kafka data storage directories. Use commas (,) to separate multiple directories.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.2.4.1.3 "><p id="mrs_01_1033__ad22744b7bbf04812b3a391230e2a1dbb">%{@auto.detect.datapart.bk.log.logs}</p>
+</td>
+</tr>
+<tr id="mrs_01_1033__r7bf563b34d3a47b8873b134c7065c9c4"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.2.4.1.1 "><p id="mrs_01_1033__a7bd9d326376a4eb2a853ca7a4a77b66f">KAFKA_HEAP_OPTS</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.2.4.1.2 "><p id="mrs_01_1033__ac3d2eee9c9a14c57bda9e25651a664f5">Specifies the JVM option used for Kafka to start broker. It is recommended that you set this parameter based on service requirements.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.2.4.1.3 "><p id="mrs_01_1033__a7625765ffa334a3b8a227a8c00337a79">-Xmx6G -Xms6G</p>
+</td>
+</tr>
+<tr id="mrs_01_1033__rb81971ab2e724c418e6905b677bc7dc1"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.2.4.1.1 "><p id="mrs_01_1033__a0cfc8fc2bf0e4988b009c205c1871ca7">auto.create.topics.enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.2.4.1.2 "><p id="mrs_01_1033__a820a13a022fe41a7b5ad0ed53aeeb3b8">Indicates whether a topic is automatically created. If this parameter is set to <strong id="mrs_01_1033__b1220711614918">false</strong>, you need to run a command to create a topic before sending a message.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.2.4.1.3 "><p id="mrs_01_1033__a481d2d673b1a48ee9923818db4489097">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1033__rd646ebc8ffcc465c9de364dee5bef6bb"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.2.4.1.1 "><p id="mrs_01_1033__a80e93bc636c54b1ca1a5ff80d7a2a437">default.replication.factor</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.2.4.1.2 "><p id="mrs_01_1033__ac7fbb9549f524ce98f5d91e15c2cee72">Default number of replicas of a topic is automatically created.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.2.4.1.3 "><p id="mrs_01_1033__a25c11f871d8144cab475a5545fd40f18">2</p>
+</td>
+</tr>
+<tr id="mrs_01_1033__rd39f64d662004f40bb96dcdc14949038"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.2.4.1.1 "><p id="mrs_01_1033__aaf28d74a508d4f39a9ddedd54e8f6b6e">monitor.preInitDelay</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.2.4.1.2 "><p id="mrs_01_1033__a1629ea18f325414bb6534c6f5e030e76">Delay of the first health check after the server is started. If the startup takes a long time, increase the value of the parameter. Unit: millisecond</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.2.4.1.3 "><p id="mrs_01_1033__a3cada012bd5f4be19ada8644618035b3">600,000</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1033__section141646135013"><h4 class="sectiontitle">Timeout Parameters</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1033__table4135737103619" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Broker-related timeout parameters</caption><thead align="left"><tr id="mrs_01_1033__row141361337113612"><th align="left" class="cellrowborder" valign="top" width="19.881988198819883%" id="mcps1.3.4.2.2.5.1.1"><p id="mrs_01_1033__p326148113916">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="40.89408940894089%" id="mcps1.3.4.2.2.5.1.2"><p id="mrs_01_1033__p102938173911">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="7.630763076307631%" id="mcps1.3.4.2.2.5.1.3"><p id="mrs_01_1033__p132168153914">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="31.593159315931597%" id="mcps1.3.4.2.2.5.1.4"><p id="mrs_01_1033__p235198183917">Impact</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1033__row21361937113612"><td class="cellrowborder" valign="top" width="19.881988198819883%" headers="mcps1.3.4.2.2.5.1.1 "><p id="mrs_01_1033__p15389803915">controller.socket.timeout.ms</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.89408940894089%" headers="mcps1.3.4.2.2.5.1.2 "><p id="mrs_01_1033__p84111833914">Specifies the timeout for connecting controller to broker. Unit: millisecond</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.630763076307631%" headers="mcps1.3.4.2.2.5.1.3 "><p id="mrs_01_1033__p1243108103915">30,000</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.593159315931597%" headers="mcps1.3.4.2.2.5.1.4 "><p id="mrs_01_1033__p16458873915">Generally, retain the default value of this parameter.</p>
+</td>
+</tr>
+<tr id="mrs_01_1033__row1213610372365"><td class="cellrowborder" valign="top" width="19.881988198819883%" headers="mcps1.3.4.2.2.5.1.1 "><p id="mrs_01_1033__p248118153918">group.max.session.timeout.ms</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.89408940894089%" headers="mcps1.3.4.2.2.5.1.2 "><p id="mrs_01_1033__p13507812395">Specifies the maximum session timeout during the consumer registration. Unit: millisecond</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.630763076307631%" headers="mcps1.3.4.2.2.5.1.3 "><p id="mrs_01_1033__p125218818390">1800000</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.593159315931597%" headers="mcps1.3.4.2.2.5.1.4 "><p id="mrs_01_1033__p05568123916">The configured value must be less than the value of this parameter.</p>
+</td>
+</tr>
+<tr id="mrs_01_1033__row1413633733611"><td class="cellrowborder" valign="top" width="19.881988198819883%" headers="mcps1.3.4.2.2.5.1.1 "><p id="mrs_01_1033__p7573863912">group.min.session.timeout.ms</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.89408940894089%" headers="mcps1.3.4.2.2.5.1.2 "><p id="mrs_01_1033__p05916813392">Specifies the minimum session timeout during the consumer registration. Unit: millisecond</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.630763076307631%" headers="mcps1.3.4.2.2.5.1.3 "><p id="mrs_01_1033__p18616843913">6,000</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.593159315931597%" headers="mcps1.3.4.2.2.5.1.4 "><p id="mrs_01_1033__p11651485399">The configured value must be greater than the value of this parameter.</p>
+</td>
+</tr>
+<tr id="mrs_01_1033__row213614371367"><td class="cellrowborder" valign="top" width="19.881988198819883%" headers="mcps1.3.4.2.2.5.1.1 "><p id="mrs_01_1033__p14689813397">offsets.commit.timeout.ms</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.89408940894089%" headers="mcps1.3.4.2.2.5.1.2 "><p id="mrs_01_1033__p77108113910">Specifies the timeout for the Offset to submit requests. Unit: millisecond</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.630763076307631%" headers="mcps1.3.4.2.2.5.1.3 "><p id="mrs_01_1033__p20731088391">5,000</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.593159315931597%" headers="mcps1.3.4.2.2.5.1.4 "><p id="mrs_01_1033__p075178193915">This parameter specifies the maximum delay for processing an Offset request.</p>
+</td>
+</tr>
+<tr id="mrs_01_1033__row5137537153618"><td class="cellrowborder" valign="top" width="19.881988198819883%" headers="mcps1.3.4.2.2.5.1.1 "><p id="mrs_01_1033__p4783803916">replica.socket.timeout.ms</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.89408940894089%" headers="mcps1.3.4.2.2.5.1.2 "><p id="mrs_01_1033__p108013813393">Specifies the timeout of the request for synchronizing replica data. Its value must be greater than or equal to that of the <strong id="mrs_01_1033__b183306294105">replica.fetch.wait.max.ms</strong> parameter. Unit: millisecond</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.630763076307631%" headers="mcps1.3.4.2.2.5.1.3 "><p id="mrs_01_1033__p16822085397">30,000</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.593159315931597%" headers="mcps1.3.4.2.2.5.1.4 "><p id="mrs_01_1033__p1884198173916">Specifies the maximum timeout for establishing a channel before the synchronization thread sends a synchronization request. The value must be greater than that of the <strong id="mrs_01_1033__b250457121017">replica.fetch.wait.max.ms</strong> parameter.</p>
+</td>
+</tr>
+<tr id="mrs_01_1033__row131371737143616"><td class="cellrowborder" valign="top" width="19.881988198819883%" headers="mcps1.3.4.2.2.5.1.1 "><p id="mrs_01_1033__p128838113915">request.timeout.ms</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.89408940894089%" headers="mcps1.3.4.2.2.5.1.2 "><p id="mrs_01_1033__p12918863910">Specifies the timeout for waiting for a response after the client sends a connection request. If no response is received within the timeout, the client resends the request. A request failure is returned after the maximum retry times is reached. Unit: millisecond</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.630763076307631%" headers="mcps1.3.4.2.2.5.1.3 "><p id="mrs_01_1033__p0933819393">30,000</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.593159315931597%" headers="mcps1.3.4.2.2.5.1.4 "><p id="mrs_01_1033__p1396168113918">This parameter is configured when the networkclient connection is transferred in the controller and replica threads on the broker node.</p>
+</td>
+</tr>
+<tr id="mrs_01_1033__row61378371364"><td class="cellrowborder" valign="top" width="19.881988198819883%" headers="mcps1.3.4.2.2.5.1.1 "><p id="mrs_01_1033__p13981780391">transaction.max.timeout.ms</p>
+<p id="mrs_01_1033__p9203171912282"></p>
+</td>
+<td class="cellrowborder" valign="top" width="40.89408940894089%" headers="mcps1.3.4.2.2.5.1.2 "><p id="mrs_01_1033__p8101148133916">Specifies the maximum timeout allowed by the transaction. If the client request time exceeds the value of this parameter, broker returns an error in InitProducerIdRequest. This prevents a long client request timeout, ensuring that consumer can receive topics. Unit: millisecond</p>
+<p id="mrs_01_1033__p14201519162812"></p>
+</td>
+<td class="cellrowborder" valign="top" width="7.630763076307631%" headers="mcps1.3.4.2.2.5.1.3 "><p id="mrs_01_1033__p1210315893917">900,000</p>
+<p id="mrs_01_1033__p1419961913286"></p>
+</td>
+<td class="cellrowborder" valign="top" width="31.593159315931597%" headers="mcps1.3.4.2.2.5.1.4 "><p id="mrs_01_1033__p1210511810399">Specifies the maximum timeout for transactions.</p>
+<p id="mrs_01_1033__p2195151932816"></p>
+</td>
+</tr>
+<tr id="mrs_01_1033__row4639124617380"><td class="cellrowborder" valign="top" width="19.881988198819883%" headers="mcps1.3.4.2.2.5.1.1 "><p id="mrs_01_1033__p1610758173913">user.group.cache.timeout.sec</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.89408940894089%" headers="mcps1.3.4.2.2.5.1.2 "><p id="mrs_01_1033__p611019833915">Specifies the time when the user group information is stored in the cache. Unit: second</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.630763076307631%" headers="mcps1.3.4.2.2.5.1.3 "><p id="mrs_01_1033__p41123853911">300</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.593159315931597%" headers="mcps1.3.4.2.2.5.1.4 "><p id="mrs_01_1033__p1411578123915">Specifies the time for caching the mapping between users and user groups. If time exceeds the threshold, the system automatically runs the <strong id="mrs_01_1033__b136721827181813">id -Gn</strong> command to query the user information. During this period, the mapping in the cache is used.</p>
+</td>
+</tr>
+<tr id="mrs_01_1033__row186401346103819"><td class="cellrowborder" valign="top" width="19.881988198819883%" headers="mcps1.3.4.2.2.5.1.1 "><p id="mrs_01_1033__p16119128193917">zookeeper.connection.timeout.ms</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.89408940894089%" headers="mcps1.3.4.2.2.5.1.2 "><p id="mrs_01_1033__p71214812396">Specifies the timeout for connecting to ZooKeeper. Unit: millisecond</p>
+<p id="mrs_01_1033__p7123138103914"></p>
+</td>
+<td class="cellrowborder" valign="top" width="7.630763076307631%" headers="mcps1.3.4.2.2.5.1.3 "><p id="mrs_01_1033__p712620818390">45,000</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.593159315931597%" headers="mcps1.3.4.2.2.5.1.4 "><p id="mrs_01_1033__p161284818399">This parameter specifies the duration for connecting the ZooKeeper and zkclient for the first time. If the duration exceeds the value of this parameter, the zkclient automatically disconnects the connection.</p>
+</td>
+</tr>
+<tr id="mrs_01_1033__row764114466386"><td class="cellrowborder" valign="top" width="19.881988198819883%" headers="mcps1.3.4.2.2.5.1.1 "><p id="mrs_01_1033__p513320833915">zookeeper.session.timeout.ms</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.89408940894089%" headers="mcps1.3.4.2.2.5.1.2 "><p id="mrs_01_1033__p191353873920">Specifies the ZooKeeper session timeout duration. During this period, ZooKeeper disconnects the connection if broker does not report its heartbeats to ZooKeeper. Unit: millisecond</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.630763076307631%" headers="mcps1.3.4.2.2.5.1.3 "><p id="mrs_01_1033__p1513878123918">45,000</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.593159315931597%" headers="mcps1.3.4.2.2.5.1.4 "><p id="mrs_01_1033__p191401283396">ZooKeeper session timeout has the following functions:</p>
+<p id="mrs_01_1033__p114078163911">1) Based on value of this parameter and the number of ZooKeeper URLs in ZKURL, if the connection duration exceeds the node timeout value (sessionTimeout/Number of transferred ZooKeeper URLs), the connection fails and the system attempts to connect to the next node.</p>
+<p id="mrs_01_1033__p161421386391">2) After the connection is established, a session (for example, the temporary BrokerId node registered on the ZooKeeper) is cleared by the ZooKeeper a session timeout later if the broker is stopped.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1033__table8581059153910" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Producer-related timeout parameters</caption><thead align="left"><tr id="mrs_01_1033__row9583195923910"><th align="left" class="cellrowborder" valign="top" width="19.79%" id="mcps1.3.4.3.2.5.1.1"><p id="mrs_01_1033__p42841967406">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="41.15%" id="mcps1.3.4.3.2.5.1.2"><p id="mrs_01_1033__p02875617403">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="8.459999999999999%" id="mcps1.3.4.3.2.5.1.3"><p id="mrs_01_1033__p82896684019">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="30.599999999999998%" id="mcps1.3.4.3.2.5.1.4"><p id="mrs_01_1033__p3292366404">Impact</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1033__row14583145933919"><td class="cellrowborder" valign="top" width="19.79%" headers="mcps1.3.4.3.2.5.1.1 "><p id="mrs_01_1033__p63111460406">request.timeout.ms</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.15%" headers="mcps1.3.4.3.2.5.1.2 "><p id="mrs_01_1033__p531213624010">Specifies the timeout of a message request.</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.459999999999999%" headers="mcps1.3.4.3.2.5.1.3 "><p id="mrs_01_1033__p1331536114015">30,000</p>
+</td>
+<td class="cellrowborder" valign="top" width="30.599999999999998%" headers="mcps1.3.4.3.2.5.1.4 "><p id="mrs_01_1033__p131916654010">If a network fault occurs, increase the value of this parameter. If the value is too small, the Batch Expire occurs.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1033__table1319720794216" frame="border" border="1" rules="all"><caption><b>Table 4 </b>Consumer-related timeout parameters</caption><thead align="left"><tr id="mrs_01_1033__row41984724212"><th align="left" class="cellrowborder" valign="top" width="19.7%" id="mcps1.3.4.4.2.5.1.1"><p id="mrs_01_1033__p111133994219">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="41.5%" id="mcps1.3.4.4.2.5.1.2"><p id="mrs_01_1033__p316173944219">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="8.459999999999999%" id="mcps1.3.4.4.2.5.1.3"><p id="mrs_01_1033__p719539174211">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="30.34%" id="mcps1.3.4.4.2.5.1.4"><p id="mrs_01_1033__p11222394421">Impact</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1033__row11982704216"><td class="cellrowborder" valign="top" width="19.7%" headers="mcps1.3.4.4.2.5.1.1 "><p id="mrs_01_1033__p10541539154214">connections.max.idle.ms</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.5%" headers="mcps1.3.4.4.2.5.1.2 "><p id="mrs_01_1033__p257173924216">Specifies the maximum retention period for idle connections.</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.459999999999999%" headers="mcps1.3.4.4.2.5.1.3 "><p id="mrs_01_1033__p106013915427">600,000</p>
+</td>
+<td class="cellrowborder" valign="top" width="30.34%" headers="mcps1.3.4.4.2.5.1.4 "><p id="mrs_01_1033__p1363103918422">If the idle connection time is greater than this parameter value, this connection is disconnected. If necessary, a new connection is created.</p>
+</td>
+</tr>
+<tr id="mrs_01_1033__row11987794213"><td class="cellrowborder" valign="top" width="19.7%" headers="mcps1.3.4.4.2.5.1.1 "><p id="mrs_01_1033__p2815398426">request.timeout.ms</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.5%" headers="mcps1.3.4.4.2.5.1.2 "><p id="mrs_01_1033__p8851339114219">Specifies the timeout for consumer requests.</p>
+<p id="mrs_01_1033__p124471017134912"></p>
+</td>
+<td class="cellrowborder" valign="top" width="8.459999999999999%" headers="mcps1.3.4.4.2.5.1.3 "><p id="mrs_01_1033__p58773934212">30,000</p>
+</td>
+<td class="cellrowborder" valign="top" width="30.34%" headers="mcps1.3.4.4.2.5.1.4 "><p id="mrs_01_1033__p691123964213">If the request times out, the request will fail and be sent again.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0375.html">Using Kafka</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1035"></a><a name="mrs_01_1035"></a>
+
+<h1 class="topictitle1">Safety Instructions on Using Kafka</h1>
+<div id="body1590134592428"><p id="mrs_01_1035__p1944684185813">This section applies to MRS 3.<em id="mrs_01_1035__i1574241831712">x</em> or later.</p>
+<div class="section" id="mrs_01_1035__s5bc714b41c6343baae4565090765e395"><h4 class="sectiontitle">Brief Introduction to Kafka APIs</h4><ul id="mrs_01_1035__u0b3a7ab81e3b4a7d8fb121ca0d179036"><li id="mrs_01_1035__l36209279b5ce4100b6bee08b5070c2c8">Producer API<p id="mrs_01_1035__a07a647dfa3ed49a4998e89e62fbfac96"><a name="mrs_01_1035__l36209279b5ce4100b6bee08b5070c2c8"></a><a name="l36209279b5ce4100b6bee08b5070c2c8"></a>Indicates the API defined in <strong id="mrs_01_1035__b468872923410">org.apache.kafka.clients.producer.KafkaProducer</strong>. When <span class="filepath" id="mrs_01_1035__filepath8693142920344"><b>kafka-console-producer.sh</b></span> is used, the API is used by default.</p>
+</li><li id="mrs_01_1035__l8bbd93eef7d141d083482acf5daf4905">Consumer API<p id="mrs_01_1035__aa59c7ba45b144172b1f3f248545f3a22"><a name="mrs_01_1035__l8bbd93eef7d141d083482acf5daf4905"></a><a name="l8bbd93eef7d141d083482acf5daf4905"></a>Indicates the API defined in <strong id="mrs_01_1035__b351716123328">org.apache.kafka.clients.consumer.KafkaConsumer</strong>. When <span class="filepath" id="mrs_01_1035__filepath5517141210323"><b>kafka-console-consumer.sh</b></span> is used, the API is used by default.</p>
+</li></ul>
+<div class="note" id="mrs_01_1035__nfbd2735f771942dbae9328325f30ebd6"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1035__a46f984e51e174c72b38e7e789981aedf">In MRS 3.<em id="mrs_01_1035__i112695449534">x</em> or later, Kafka no longer support old Producer or Consumer APIs.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1035__s04929a62877940e59d7d55fc8473ae09"><h4 class="sectiontitle">Protocol Description for Accessing Kafka</h4><p id="mrs_01_1035__a858c6053aa784cd59dbf30dac8f4d48e">The protocols used to access Kafka are as follows: PLAINTEXT, SSL, SASL_PLAINTEXT, and SASL_SSL. </p>
+<p id="mrs_01_1035__a5e7ff9454c154bf2ae3d272e342b5b4b">When Kafka service is started, the listeners using the PLAINTEXT and SASL_PLAINTEXT protocols are started. You can set <span class="parmname" id="mrs_01_1035__p179cfe0428ac48b38140347089368fa0"><b>ssl.mode.enable</b></span> to <span class="parmvalue" id="mrs_01_1035__pf508faeed30a4c2b85baff0ff4ce6d2c"><b>true</b></span> in Kafka service configuration to start listeners using SSL and SASL_SSL protocols. The following table describes the four protocols:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1035__t1bc348725bb5488093f5161324af4251" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1035__rb7da86c675bd4308bffbd68036177d0a"><th align="left" class="cellrowborder" valign="top" width="27.67%" id="mcps1.3.3.4.1.4.1.1"><p id="mrs_01_1035__ab11f8ddc7faf40cfb423bea823cd960c">Protocol</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="52.6%" id="mcps1.3.3.4.1.4.1.2"><p id="mrs_01_1035__aa298d502f7a84014bff57ac1cf36ea4e">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="19.73%" id="mcps1.3.3.4.1.4.1.3"><p id="mrs_01_1035__ae7f17408c44640b3953dbd2a673115eb">Default Port</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1035__rced896880dc3417f976df3d3a21a363e"><td class="cellrowborder" valign="top" width="27.67%" headers="mcps1.3.3.4.1.4.1.1 "><p id="mrs_01_1035__a4d1a50fc6ba1418d9de792a01ba13edc">PLAINTEXT</p>
+</td>
+<td class="cellrowborder" valign="top" width="52.6%" headers="mcps1.3.3.4.1.4.1.2 "><p id="mrs_01_1035__af5ad403e437c4b0ba2c9003c2b219678">Supports plaintext access without authentication.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.73%" headers="mcps1.3.3.4.1.4.1.3 "><p id="mrs_01_1035__p7887171685012">9092</p>
+</td>
+</tr>
+<tr id="mrs_01_1035__ra82f130e55e54523b3634b69d3033b8a"><td class="cellrowborder" valign="top" width="27.67%" headers="mcps1.3.3.4.1.4.1.1 "><p id="mrs_01_1035__af6848f763e5843048906ce570d8f180d">SASL_PLAINTEXT</p>
+</td>
+<td class="cellrowborder" valign="top" width="52.6%" headers="mcps1.3.3.4.1.4.1.2 "><p id="mrs_01_1035__a36014c225253479ab2d245782540401a">Supports plaintext access with Kerberos authentication.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.73%" headers="mcps1.3.3.4.1.4.1.3 "><p id="mrs_01_1035__a18360f03ddac415cb7e903dce96fac34">21007</p>
+</td>
+</tr>
+<tr id="mrs_01_1035__ref73f634a6204665a583de6bb15b8a8f"><td class="cellrowborder" valign="top" width="27.67%" headers="mcps1.3.3.4.1.4.1.1 "><p id="mrs_01_1035__ac333dcd5de634c71af0c56e958632f73">SSL</p>
+</td>
+<td class="cellrowborder" valign="top" width="52.6%" headers="mcps1.3.3.4.1.4.1.2 "><p id="mrs_01_1035__a3f8309defdc34a738cc48f98eed64252">Supports SSL-encrypted access without authentication.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.73%" headers="mcps1.3.3.4.1.4.1.3 "><p id="mrs_01_1035__p9112326125019">9093</p>
+</td>
+</tr>
+<tr id="mrs_01_1035__rc5de1585ad0c4aeda6bc72445d3054d6"><td class="cellrowborder" valign="top" width="27.67%" headers="mcps1.3.3.4.1.4.1.1 "><p id="mrs_01_1035__a66d13dce2d1741faa087f4dd0929e6e0">SASL_SSL</p>
+</td>
+<td class="cellrowborder" valign="top" width="52.6%" headers="mcps1.3.3.4.1.4.1.2 "><p id="mrs_01_1035__a73eb1160c36c4d91abf04e76357f89cc">Supports SSL-encrypted access with Kerberos authentication.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.73%" headers="mcps1.3.3.4.1.4.1.3 "><p id="mrs_01_1035__a114514b762f4406a946b6b86580fc68d">21009</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1035__s66d78962dbf24de5b1e8cafec79f8192"><h4 class="sectiontitle">ACL Settings for a Topic</h4><p id="mrs_01_1035__a5a59eacfe99c4acebb4abfc9fbea0f1c">To view and set topic permission information, run the <span class="filepath" id="mrs_01_1035__f20e8b850f95f484393bd00556a305743"><b>kafka-acls.sh</b></span> script on the Linux client. For details, see <a href="mrs_01_0378.html">Managing Kafka User Permissions</a>.</p>
+</div>
+<div class="section" id="mrs_01_1035__s39384b9ccaf84b83bd41f97a3503f150"><h4 class="sectiontitle">Use of Kafka APIs in Different Scenarios </h4><ul id="mrs_01_1035__u62705ca3d2ad4a319616c1fed860f7d6"><li id="mrs_01_1035__l22af91afe954488dafdc27f264660847">Scenario 1: accessing the topic with an ACL
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1035__t4fff972f5dea4950900cf53dfdc67fee" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1035__r6ae04fe242664359a978fb18727f6269"><th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.5.2.1.1.1.6.1.1"><p id="mrs_01_1035__a568ad106121644298b5f20a7edce08d4">Used API</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.5.2.1.1.1.6.1.2"><p id="mrs_01_1035__abb4fc683f439424780c1f978a39a7887">User Group</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.5.2.1.1.1.6.1.3"><p id="mrs_01_1035__a7e17405df69847609537b328893b5b46">Client Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.5.2.1.1.1.6.1.4"><p id="mrs_01_1035__a10a1cf9a0eba405eb023cddefad7d10a">Server Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.5.2.1.1.1.6.1.5"><p id="mrs_01_1035__aea1452809e364ddca209bba597a9bded">Accessed Port</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1035__r362384a7256e4aa2867c095ad4e4a33a"><td class="cellrowborder" rowspan="2" valign="top" width="20%" headers="mcps1.3.5.2.1.1.1.6.1.1 "><p id="mrs_01_1035__a41b2d944c93d4a7cb856ae7392f127f1">API</p>
+<p id="mrs_01_1035__a70bfd6c1954e401db9aee7056144bc42"></p>
+</td>
+<td class="cellrowborder" rowspan="2" valign="top" width="20%" headers="mcps1.3.5.2.1.1.1.6.1.2 "><p id="mrs_01_1035__a84571f79c25344489cd25d67dca66bc6">Users need to meet one of the following conditions:</p>
+<ul id="mrs_01_1035__u24c6f4474d954ccaa17dd13c2ddf03b5"><li id="mrs_01_1035__lb8db7b766cef4cc799acc859830d7f53">In the administrator group</li><li id="mrs_01_1035__l7bb3e71fad464417b40c0861ded04f3c">In the <strong id="mrs_01_1035__b11629381743508">kafkaadmin</strong> group</li><li id="mrs_01_1035__l6f715475adf849929d5e7945e50e19e7">In the <strong id="mrs_01_1035__b21281498433508">kafkasuperuser</strong> group</li><li id="mrs_01_1035__laccb07d50b074007bdb9221c8eec0480">In the <strong id="mrs_01_1035__b5731720893508">kafka</strong> group and be authorized </li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.2.1.1.1.6.1.3 "><p id="mrs_01_1035__a66074925c7874544877ab795f64c9b31">security.inter.broker.protocol=SASL_PLAINTEXT sasl.kerberos.service.name = kafka</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.2.1.1.1.6.1.4 "><p id="mrs_01_1035__a91b392904f084b2f838efd6f407fb993">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.5.2.1.1.1.6.1.5 "><p id="mrs_01_1035__ac8c51e85f85144f2a9c68b1d3956ad4d">sasl.port (The default number is 21007.)</p>
+</td>
+</tr>
+<tr id="mrs_01_1035__re23689d6b00b43e487bda1b9daa7e23c"><td class="cellrowborder" valign="top" headers="mcps1.3.5.2.1.1.1.6.1.1 "><p id="mrs_01_1035__aa3fa1f872dde4fff8bb9c7e2c9131ae3">security.protocol=SASL_SSL sasl.kerberos.service.name = kafka</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.5.2.1.1.1.6.1.2 "><p id="mrs_01_1035__af1708ed895c345509da72002ab744a7f">Set <span class="parmname" id="mrs_01_1035__p6574383b24bd442fb5f322b72ac3b299"><b>ssl.mode.enable</b></span> to <strong id="mrs_01_1035__b19436584163508">true</strong>. </p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.5.2.1.1.1.6.1.3 "><p id="mrs_01_1035__ac54c248e54e347999b1b6493698a7bf8">sasl-ssl.port (The default number is 21009.)</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1035__l7ce1fd20b2d04145b7106a5311331704">Scenario 2: accessing the topic without an ACL 
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1035__tf3d6fbdb0cd94c92b1c7ed53db86e3e4" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1035__rd8f9b536c00049a99603856cd9737611"><th align="left" class="cellrowborder" valign="top" width="12.5%" id="mcps1.3.5.2.2.1.1.6.1.1"><p id="mrs_01_1035__afcd2f8e8e586480f983a91e91a4c4695">Used API</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="27.029999999999998%" id="mcps1.3.5.2.2.1.1.6.1.2"><p id="mrs_01_1035__ae90cee7e93c240fc8905e73e7cd1ed39">User Group</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="19.59%" id="mcps1.3.5.2.2.1.1.6.1.3"><p id="mrs_01_1035__a5b2fb483db6c48e08d6a641f271cbdd7">Client Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="22.13%" id="mcps1.3.5.2.2.1.1.6.1.4"><p id="mrs_01_1035__a82ff9a8df1294422a8b99c69adf17ab2">Server Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="18.75%" id="mcps1.3.5.2.2.1.1.6.1.5"><p id="mrs_01_1035__a5f9215764d6c4ee3bf0a8b976ebf98cb">Accessed Port</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1035__re8c1932bf70944e292c19b05581ddb12"><td class="cellrowborder" rowspan="6" valign="top" width="12.5%" headers="mcps1.3.5.2.2.1.1.6.1.1 "><p id="mrs_01_1035__acfed28dc729d4e978e4698326e2b027f">API</p>
+</td>
+<td class="cellrowborder" valign="top" width="27.029999999999998%" headers="mcps1.3.5.2.2.1.1.6.1.2 "><p id="mrs_01_1035__a719abb7fd2f64fe78f9c002320b7b43b">Users need to meet one of the following conditions:</p>
+<ul id="mrs_01_1035__u71970841724d4fe6a1142ae3700267db"><li id="mrs_01_1035__l1f38b07a5b9c4a2cb56f6961b349bd09">In the administrator group</li><li id="mrs_01_1035__lba21ff9723bb4422822944f0259a7e18">In the <strong id="mrs_01_1035__b14130753133508">kafkaadmin</strong> group</li><li id="mrs_01_1035__le7f663a73ae94cd180091eb2d7e72221">In the <strong id="mrs_01_1035__b7048109773508">kafkasuperuser</strong> group</li></ul>
+</td>
+<td class="cellrowborder" rowspan="2" valign="top" width="19.59%" headers="mcps1.3.5.2.2.1.1.6.1.3 "><p id="mrs_01_1035__ab2183e5bdbfe4aa89bd0d1db67a0d8f4">security.protocol=SASL_PLAINTEXT sasl.kerberos.service.name = kafka</p>
+</td>
+<td class="cellrowborder" valign="top" width="22.13%" headers="mcps1.3.5.2.2.1.1.6.1.4 "><p id="mrs_01_1035__a3bcdcc4893e14fda98078f4ceb1e198e">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.75%" headers="mcps1.3.5.2.2.1.1.6.1.5 "><p id="mrs_01_1035__a180c4e4bee3140b4b9dfa627ea3df915">sasl.port (The default number is 21007.)</p>
+</td>
+</tr>
+<tr id="mrs_01_1035__r4bac3704843b4b3b9041941f83768b70"><td class="cellrowborder" valign="top" headers="mcps1.3.5.2.2.1.1.6.1.1 "><p id="mrs_01_1035__afd892e1652694a3db4d7c7c17afc0413">Users are in the <strong id="mrs_01_1035__b16348878013508">kafka</strong> group. </p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.5.2.2.1.1.6.1.2 "><p id="mrs_01_1035__a3807ed6b9ef0424a990fb20237a11364">Set <span class="parmname" id="mrs_01_1035__p23bc966958de4a08bf9c617e2673936e"><b>allow.everyone.if.no.acl.found</b></span> to <strong id="mrs_01_1035__b15318512193508">true</strong>.</p>
+<div class="note" id="mrs_01_1035__note4316315144542"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1035__p38846836144542">In normal mode, the server parameter <strong id="mrs_01_1035__b19130870283508">allow.everyone.if.no.acl.found</strong> does not need to be modified.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.5.2.2.1.1.6.1.3 "><p id="mrs_01_1035__a7676ac7e2cc840f3a963c444d73a84dd">sasl.port (The default number is 21007.)</p>
+</td>
+</tr>
+<tr id="mrs_01_1035__r5eb044cb53b34975bb0a9aefe10c6c7f"><td class="cellrowborder" valign="top" headers="mcps1.3.5.2.2.1.1.6.1.1 "><p id="mrs_01_1035__ace410cf6d0214fbfbd05c49e6bff713e">Users need to meet one of the following conditions:</p>
+<ul id="mrs_01_1035__u277d7c78497c4a0c8554ac9b2aa7b789"><li id="mrs_01_1035__l39f1f9df4c5c4484853bed163c3a938a">In the administrator group</li><li id="mrs_01_1035__l7c7d8272c4324af9b17cac8b81016e0d">In the <strong id="mrs_01_1035__b7197236333508">kafkaadmin</strong> group</li><li id="mrs_01_1035__led9648ae869047a488f9048a4a993278">In the <strong id="mrs_01_1035__b11651860063508">kafkasuperuser</strong> group </li></ul>
+</td>
+<td class="cellrowborder" rowspan="2" valign="top" headers="mcps1.3.5.2.2.1.1.6.1.2 "><p id="mrs_01_1035__aecfb2849e8ef4cfcaef0a0184fe38039">security.protocol=SASL_SSL sasl.kerberos.service.name = kafka</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.5.2.2.1.1.6.1.3 "><p id="mrs_01_1035__a1762809707934ea5a1d76e031cc11651">Set <span class="parmname" id="mrs_01_1035__pe84546d71fad43d490ee59d4e0158db9"><b>ssl.mode.enable</b></span> to <span class="parmvalue" id="mrs_01_1035__p97b98dfa641d411e80fc8a696ed3a591"><b>true</b></span>.</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.5.2.2.1.1.6.1.4 "><p id="mrs_01_1035__a6752a07f31814d959960af2f9a363ccc">sasl-ssl.port (The default number is 21009.)</p>
+</td>
+</tr>
+<tr id="mrs_01_1035__r52e4ee470b2549859ecca525447a3a93"><td class="cellrowborder" valign="top" headers="mcps1.3.5.2.2.1.1.6.1.1 "><p id="mrs_01_1035__a84ed2ab0394b4b639503f85dc09faa4a">Users are in the <strong id="mrs_01_1035__b13681002283508">kafka</strong> group. </p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.5.2.2.1.1.6.1.2 "><ol id="mrs_01_1035__od7c47cac3c91433fac30dd312cd32f90"><li id="mrs_01_1035__ld05359dd11d7437a91a29b93ea65f6dc">Set <span class="parmname" id="mrs_01_1035__parmname20310797703508"><b>allow.everyone.if.no.acl.found</b></span> to <span class="parmname" id="mrs_01_1035__parmname14841539913508"><b>true</b></span>.</li><li id="mrs_01_1035__lca0256e05ecd4427b1e7549bcb1e7ccd">Set <span class="parmname" id="mrs_01_1035__parmname10517952533508"><b>ssl.mode.enable</b></span> to <span class="parmname" id="mrs_01_1035__parmname14868713173508"><b>true</b></span>.</li></ol>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.5.2.2.1.1.6.1.3 "><p id="mrs_01_1035__a9a469d5fe53c4b07b61340818e0031bd">sasl-ssl.port (The default number is 21009.)</p>
+</td>
+</tr>
+<tr id="mrs_01_1035__rc6465682ffa348b08cdfcb5306155408"><td class="cellrowborder" valign="top" headers="mcps1.3.5.2.2.1.1.6.1.1 "><p id="mrs_01_1035__a3b9a308bf77a4e16be411f8122666840">-</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.5.2.2.1.1.6.1.2 "><p id="mrs_01_1035__a5f17aa6878e049db839707ed1a0a5b3d">security.protocol=PLAINTEXT</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.5.2.2.1.1.6.1.3 "><p id="mrs_01_1035__a88ac4f84df554f399aac0a56e9ec6618">Set <span class="parmname" id="mrs_01_1035__pf99b3da479e34fc19ab909eed98c8529"><b>allow.everyone.if.no.acl.found</b></span> to <span class="parmvalue" id="mrs_01_1035__p737c2c5f671d4f1b8334b6e3ce8786e1"><b>true</b></span>.</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.5.2.2.1.1.6.1.4 "><p id="mrs_01_1035__a9ca78876e33540b18c613162bd0d7199">port (The default number is 9092.)</p>
+</td>
+</tr>
+<tr id="mrs_01_1035__ra58e8a36fba94b499ea21e854d4a20c1"><td class="cellrowborder" valign="top" headers="mcps1.3.5.2.2.1.1.6.1.1 "><p id="mrs_01_1035__a5673bba005a14ce6a146838be2951309">-</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.5.2.2.1.1.6.1.2 "><p id="mrs_01_1035__a111fb6f62e814bea82ec1c96f1fa728f">security.protocol=SSL</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.5.2.2.1.1.6.1.3 "><ol id="mrs_01_1035__o3716d81839e047baa4fb72f63641d161"><li id="mrs_01_1035__l7155f176f2ac486985110c3c1b8c8d97">Set <span class="parmname" id="mrs_01_1035__p174d4da0cdca4a96a39603c8044ad1b8"><b>allow.everyone.if.no.acl.found</b></span> to <span class="parmvalue" id="mrs_01_1035__pab5e88173f3e44df98edc858d50730ff"><b>true</b></span>.</li><li id="mrs_01_1035__l07fd267d201d4527bee2ab990cf636be">Set <span class="parmname" id="mrs_01_1035__p6abeccb5cebb4a4b9dee728ad9b7dc94"><b>ssl.mode.enable</b></span> to <span class="parmvalue" id="mrs_01_1035__pb3cf82d8219b4fb0aeeed997cd3ba9c9"><b>true</b></span>.</li></ol>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.5.2.2.1.1.6.1.4 "><p id="mrs_01_1035__a36bd3913b57a460990293553d907c41a">ssl.port (The default number is 9063.)</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0375.html">Using Kafka</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1036.html b/docs/mrs/component-operation-guide/mrs_01_1036.html
new file mode 100644
index 000000000..5f611e7d7
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1036.html
@@ -0,0 +1,22 @@
+<a name="mrs_01_1036"></a><a name="mrs_01_1036"></a>
+
+<h1 class="topictitle1">Kafka Specifications</h1>
+<div id="body1590134593887"><p id="mrs_01_1036__p2968194121614">This section applies to MRS 3.x or later.</p>
+<div class="section" id="mrs_01_1036__s9f65af05c4484571a7c99e458bfb81eb"><h4 class="sectiontitle">Upper Limit of Topics</h4><p class="msonormal" id="mrs_01_1036__ac37b55cdf31143d0abefa23b1355f44f">The maximum number of topics depends on the number of file handles (mainly used by data and index files on site) opened in the process.</p>
+<ol id="mrs_01_1036__o01453252574e48bca69072f50b892653"><li id="mrs_01_1036__ldc10a9d5a96f4aadbd7eba173b8c4439">Run the <strong id="mrs_01_1036__b5731112919340">ulimit -n</strong> command to view the maximum number of file handles that can be opened in the process.</li><li id="mrs_01_1036__ld97ae3fe84a749409622feff9515ca17">Run the <strong id="mrs_01_1036__b0549181114539">lsof -p </strong><em id="mrs_01_1036__i187741210145318">&lt;Kafka PID&gt;</em> command to view the file handles (which may keep increasing) that are opened in the Kafka process on the current single node.</li><li id="mrs_01_1036__l6b5337c321b3431a8cb29969ba6b9547">Determine whether the maximum number of file handles will be reached and whether the running of Kafka is affected after required topics are created, and estimate the maximum size of data that each partition folder can store and the number of data (*.log file, whose default size is 1 GB and can be adjusted by modifying <strong id="mrs_01_1036__b074321019377">log.segment.bytes</strong>) and index (*.index file, whose default size is 10 MB and can be adjusted by modifying <strong id="mrs_01_1036__b8458617173716">log.index.size.max.bytes</strong>) files that will be produced after required topics are created.</li></ol>
+</div>
+<div class="section" id="mrs_01_1036__s1ba7ca44deee480d82368be8b9b1cc1b"><h4 class="sectiontitle">Number of Concurrent Consumers</h4><p class="msonormal" id="mrs_01_1036__a7f8d6085c1f1426482bf539170a9bcd7">In an application, it is recommended that the number of concurrent consumers in a group be the same as the number of partitions in a topic, ensuring that a consumer consumes data in only a specified partition. If the number of concurrent consumers is more than the number of partitions, the redundant consumers have no data to consume.</p>
+</div>
+<div class="section" id="mrs_01_1036__s5ed158fd9dfb47dcac506db0558b550f"><h4 class="sectiontitle">Relationship Between Topic and Partition</h4><ul id="mrs_01_1036__u98c34bf06da64f799b7c8d5b7d37ad6f"><li id="mrs_01_1036__l67f0062fe0534727805c9a6994c43183">If <em id="mrs_01_1036__i18617269399">K</em> Kafka nodes are deployed in the cluster, each node is configured with <em id="mrs_01_1036__i14409316396">N</em> disks, the size of each disk is <em id="mrs_01_1036__i20371103323912">M</em>, the cluster contains <em id="mrs_01_1036__i855763518390">n</em> topics (named as T1, T2, ..., Tn), the data input traffic per second of the <em id="mrs_01_1036__i1822643193916">m</em> topic is <em id="mrs_01_1036__i8625474395">X</em> (Tm) MB/s, the number of configured replicas is <em id="mrs_01_1036__i15718194913917">R</em> (Tm), and the configured data retention time is <em id="mrs_01_1036__i52213567396">Y</em> (Tm) hour, the following requirement must be met:<p id="mrs_01_1036__abc48ab697f364b77a40dfd9bb478618a"><span><img id="mrs_01_1036__ic404bfdd283c4293bfed14fb18411913" src="en-us_image_0000001295770868.png"></span></p>
+</li><li id="mrs_01_1036__l974ea87279be4e879b0678d77932216d">If the size of a disk is <em id="mrs_01_1036__i85891839144012">M</em>, the disk has <em id="mrs_01_1036__i9669104134014">n</em> partitions (named as P0, P1, ..., Pn), the data write traffic per second of the <em id="mrs_01_1036__i611074844011">m</em> partition is <em id="mrs_01_1036__i666916504402">Q</em> (Pm) MB/s (calculation method: data traffic of the topic to which the <em id="mrs_01_1036__i1747065374119">m</em> partition belongs divided by the number of partitions), and the data retention time is <em id="mrs_01_1036__i25035511423">T</em> (Pm) hours, the following requirement must be met for the disk:<p id="mrs_01_1036__a99670a33218c43ef8e7e520080a146db"><span><img id="mrs_01_1036__i841d209bdfc54b37869bd1bc794f0161" src="en-us_image_0000001296090656.png"></span></p>
+</li><li id="mrs_01_1036__l860f84a45984412694b3ce6a9e92d341">Based on the throughput, if the throughput that can be reached by the producer is <em id="mrs_01_1036__i1883142214457">P</em>, the throughput that can be reached by the consumer is <em id="mrs_01_1036__i5355132616458">C</em>, and the expected throughput of Kafka is <em id="mrs_01_1036__i7610162944510">T</em>, it is recommended that the number of partitions of the topic be set to Max(T/P, T/C).</li></ul>
+<div class="note" id="mrs_01_1036__ndaa4c1b9edf1480389a8172d66b4f277"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1036__u363b6f6c874e4adcb8eb11586ca92e54"><li id="mrs_01_1036__l882f77d77d064f90887e35a85d839269">In a Kafka cluster, more partitions mean higher throughput. However, too many partitions also pose potential impacts, such as a file handle increase, unavailability increase (for example, if a node is faulty, the time window becomes large after the leader is reselected in some partitions), and end-to-end latency increase.</li><li id="mrs_01_1036__lbca6793f048e4f44a2bcc1a887fe4368">Suggestion: The disk usage of a partition is smaller than or equal to 100 GB; the number of partitions on a node is smaller than or equal to 3,000; the number of partitions in the entire cluster is smaller than or equal to 10,000.</li></ul>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0375.html">Using Kafka</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1037.html b/docs/mrs/component-operation-guide/mrs_01_1037.html
new file mode 100644
index 000000000..80d2f48be
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1037.html
@@ -0,0 +1,136 @@
+<a name="mrs_01_1037"></a><a name="mrs_01_1037"></a>
+
+<h1 class="topictitle1">Configuring Kafka HA and High Reliability Parameters</h1>
+<div id="body1590134593889"><div class="section" id="mrs_01_1037__section4605114719235"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1037__p853295072316">For the Kafka message transmission assurance mechanism, different parameters are available for meeting different performance and reliability requirements. This section describes how to configure Kafka high availability (HA) and high reliability parameters.</p>
+<p id="mrs_01_1037__p1944684185813">This section applies to MRS 3.x or later.</p>
+</div>
+<div class="section" id="mrs_01_1037__section82251011192415"><h4 class="sectiontitle">Impact on the System</h4><ul id="mrs_01_1037__ul659418222557"><li id="mrs_01_1037__li13184133185618">Impact of HA and high performance configurations:<div class="notice" id="mrs_01_1037__note12467372339"><span class="noticetitle"><img src="public_sys-resources/notice_3.0-en-us.png"> </span><div class="noticebody"><p id="mrs_01_1037__p624614379331">After HA and high performance are configured, the data reliability decreases. Specifically, data may be lost of disks or nodes are faulty.</p>
+</div></div>
+</li><li id="mrs_01_1037__li9595926195613">Impact of high reliability configurations:<ul id="mrs_01_1037__ul01551542105518"><li id="mrs_01_1037__li3156184212557">Deteriorated performance<p id="mrs_01_1037__p9158164210557"><a name="mrs_01_1037__li3156184212557"></a><a name="li3156184212557"></a>If <strong id="mrs_01_1037__b58766828642342">ack</strong> is set to <strong id="mrs_01_1037__b097418269262">–1</strong>, data written is considered as successful only when data is written to multiple replicas. As a result, the delay of a single message increases and the client processing capability decreases. The impact is subject to the actual test data.</p>
+</li><li id="mrs_01_1037__li13159842195517">Reduced availability<p id="mrs_01_1037__p16160442135518"><a name="mrs_01_1037__li13159842195517"></a><a name="li13159842195517"></a>A replica that is not in the ISR list cannot be elected as a leader. If the leader goes offline and other replicas are not in the ISR list, the partition remains unavailable until the leader node recovers. When the node where a replica of a partition is located is faulty, the minimum number of successful replicas cannot be met. As a result, service writing fails.</p>
+</li></ul>
+</li><li id="mrs_01_1037__li12022151215">If parameters are at the service level, Kafka needs to be restarted. You are advised to modify the service-level configuration in the change window.</li></ul>
+</div>
+<div class="section" id="mrs_01_1037__section8755824172417"><h4 class="sectiontitle">Parameter Description</h4><p id="mrs_01_1037__p683811247427"></p>
+<ul id="mrs_01_1037__ul4795143184314"><li id="mrs_01_1037__li24114814181">If services require high availability and high performance,<div class="p" id="mrs_01_1037__p54172188187"><a name="mrs_01_1037__li24114814181"></a><a name="li24114814181"></a>set the parameters listed in <a href="#mrs_01_1037__table97904317438">Table 1</a> on the server. For details about the parameter configuration entry, see <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.
+<div class="tablenoborder"><a name="mrs_01_1037__table97904317438"></a><a name="table97904317438"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1037__table97904317438" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Server HA and high performance parameters</caption><thead align="left"><tr id="mrs_01_1037__row47883344310"><th align="left" class="cellrowborder" valign="top" width="26%" id="mcps1.3.3.3.1.1.3.2.4.1.1"><p id="mrs_01_1037__p127881364313">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="10%" id="mcps1.3.3.3.1.1.3.2.4.1.2"><p id="mrs_01_1037__p4788183154315">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="64%" id="mcps1.3.3.3.1.1.3.2.4.1.3"><p id="mrs_01_1037__p16788143124315">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1037__row147893334313"><td class="cellrowborder" valign="top" width="26%" headers="mcps1.3.3.3.1.1.3.2.4.1.1 "><p id="mrs_01_1037__p578816354311">unclean.leader.election.enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="10%" headers="mcps1.3.3.3.1.1.3.2.4.1.2 "><p id="mrs_01_1037__p1878893164311">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="64%" headers="mcps1.3.3.3.1.1.3.2.4.1.3 "><p id="mrs_01_1037__p47891531433">Specifies whether a replica that is not in the ISR can be selected as the leader. If this parameter is set to <strong id="mrs_01_1037__b172611602042342">true</strong>, data may be lost.</p>
+</td>
+</tr>
+<tr id="mrs_01_1037__row97894310431"><td class="cellrowborder" valign="top" width="26%" headers="mcps1.3.3.3.1.1.3.2.4.1.1 "><p id="mrs_01_1037__p15789193144315">auto.leader.rebalance.enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="10%" headers="mcps1.3.3.3.1.1.3.2.4.1.2 "><p id="mrs_01_1037__p1378913104316">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="64%" headers="mcps1.3.3.3.1.1.3.2.4.1.3 "><p id="mrs_01_1037__p87897310436">Specifies whether the leader automated balancing function is used.</p>
+<p id="mrs_01_1037__p478993204313">If this parameter is set to <strong id="mrs_01_1037__b91991258192717">true</strong>, the controller periodically balances the leader of each partition on all nodes and assigns the leader to a replica with a higher priority.</p>
+</td>
+</tr>
+<tr id="mrs_01_1037__row137901939430"><td class="cellrowborder" valign="top" width="26%" headers="mcps1.3.3.3.1.1.3.2.4.1.1 "><p id="mrs_01_1037__p1179020319438">min.insync.replicas</p>
+</td>
+<td class="cellrowborder" valign="top" width="10%" headers="mcps1.3.3.3.1.1.3.2.4.1.2 "><p id="mrs_01_1037__p37901833431">1</p>
+</td>
+<td class="cellrowborder" valign="top" width="64%" headers="mcps1.3.3.3.1.1.3.2.4.1.3 "><p id="mrs_01_1037__p379023104318">Specifies the minimum number of replicas to which data is written when <strong id="mrs_01_1037__b35981548542342">acks</strong> is set to <strong id="mrs_01_1037__b173008488242342">-1</strong> for the Producer.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<p id="mrs_01_1037__p109515341697">Set the parameters listed in <a href="#mrs_01_1037__table337919499593">Table 2</a> in the client configuration file <strong id="mrs_01_1037__b168902365119">producer.properties</strong>. The path for storing <strong id="mrs_01_1037__b65061128145114">producer.properties</strong> is /<strong id="mrs_01_1037__b196221651182919">opt</strong><strong id="mrs_01_1037__b26221751172913"></strong><strong id="mrs_01_1037__b862218516296">/client/Kafka/kafka/config/producer.properties</strong>, where <strong id="mrs_01_1037__b388417913018">/opt</strong><strong id="mrs_01_1037__b20884498304"></strong><strong id="mrs_01_1037__b18884599308">/client</strong> indicates the installation directory of the Kafka client.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1037__table337919499593"></a><a name="table337919499593"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1037__table337919499593" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Client HA and high performance parameters</caption><thead align="left"><tr id="mrs_01_1037__row1038014497593"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.3.1.3.2.4.1.1"><p id="mrs_01_1037__p136922014503">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.3.1.3.2.4.1.2"><p id="mrs_01_1037__p1693914904">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.3.1.3.2.4.1.3"><p id="mrs_01_1037__p069313141805">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1037__row938044912597"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.3.1.3.2.4.1.1 "><p id="mrs_01_1037__p432736202">acks</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.3.1.3.2.4.1.2 "><p id="mrs_01_1037__p9327160010">1</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.3.1.3.2.4.1.3 "><p id="mrs_01_1037__p113271268017">The leader needs to check whether the message has been received and determine whether the required operation has been processed. This parameter affects message reliability and performance.</p>
+<ul id="mrs_01_1037__ul16327116802"><li id="mrs_01_1037__li23271265015">If this parameter is set to <strong id="mrs_01_1037__b203014382842342">0</strong>, the producer does not wait for any response from the server, and the message is considered successful.</li><li id="mrs_01_1037__li4327866015">If this parameter is set to <strong id="mrs_01_1037__b27448186742342">1</strong>, when the leader of the replica verifies that data has been written into the cluster, the leader returns a response without waiting for data to be written to all replicas. In this case, if the leader is abnormal when the leader makes the confirmation but replica synchronization is not complete, data will be lost.</li><li id="mrs_01_1037__li63275611020">If this parameter is set to <strong id="mrs_01_1037__b383117495524">-1</strong>, the message is considered to be successfully received only when all synchronized replicas are confirmed. If the <span class="parmname" id="mrs_01_1037__parmname53271161102"><b>min.insync.replicas</b></span> parameter is also configured, data can be written into multiple replicas. In this case, records will not be lost as long as one replica remains active.</li></ul>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1037__li10626184012194">To ensure high data reliability for services,<div class="p" id="mrs_01_1037__p3594171616215"><a name="mrs_01_1037__li10626184012194"></a><a name="li10626184012194"></a>set the parameters listed in <a href="#mrs_01_1037__table1779493174311">Table 3</a> on the server. For details about the parameter configuration entry, see <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.
+<div class="tablenoborder"><a name="mrs_01_1037__table1779493174311"></a><a name="table1779493174311"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1037__table1779493174311" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Server HA parameters</caption><thead align="left"><tr id="mrs_01_1037__row1179111310434"><th align="left" class="cellrowborder" valign="top" width="26%" id="mcps1.3.3.3.2.1.3.2.4.1.1"><p id="mrs_01_1037__p17911232439">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="10%" id="mcps1.3.3.3.2.1.3.2.4.1.2"><p id="mrs_01_1037__p779153174317">Recommended Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="64%" id="mcps1.3.3.3.2.1.3.2.4.1.3"><p id="mrs_01_1037__p8791123194313">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1037__row679111311437"><td class="cellrowborder" valign="top" width="26%" headers="mcps1.3.3.3.2.1.3.2.4.1.1 "><p id="mrs_01_1037__p167913354317">unclean.leader.election.enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="10%" headers="mcps1.3.3.3.2.1.3.2.4.1.2 "><p id="mrs_01_1037__p27919315433">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="64%" headers="mcps1.3.3.3.2.1.3.2.4.1.3 "><p id="mrs_01_1037__p207917319434">A replica that is not in the ISR list cannot be elected as a leader.</p>
+</td>
+</tr>
+<tr id="mrs_01_1037__row679219324315"><td class="cellrowborder" valign="top" width="26%" headers="mcps1.3.3.3.2.1.3.2.4.1.1 "><p id="mrs_01_1037__p16792123194320">min.insync.replicas</p>
+</td>
+<td class="cellrowborder" valign="top" width="10%" headers="mcps1.3.3.3.2.1.3.2.4.1.2 "><p id="mrs_01_1037__p079216318433">2</p>
+</td>
+<td class="cellrowborder" valign="top" width="64%" headers="mcps1.3.3.3.2.1.3.2.4.1.3 "><p id="mrs_01_1037__p107921316433">Specifies the minimum number of replicas to which data is written when <strong id="mrs_01_1037__b46170830842342">acks</strong> is set to <strong id="mrs_01_1037__b56729317942342">-1</strong> for the Producer.</p>
+<p id="mrs_01_1037__p37928344318">Ensure that the value of <strong id="mrs_01_1037__b41181864942342">min.insync.replicas</strong> is equal to or less than that of <strong id="mrs_01_1037__b210620680542342">replication.factor</strong>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<p id="mrs_01_1037__p8407834112418">Set the parameters listed in <a href="#mrs_01_1037__table22137713255">Table 4</a> in the client configuration file <strong id="mrs_01_1037__b1449848145516">producer.properties</strong>. The path for storing <strong id="mrs_01_1037__b14498198205513">producer.properties</strong> is <strong id="mrs_01_1037__b1093813490300">/opt</strong><strong id="mrs_01_1037__b11938649113018"></strong><strong id="mrs_01_1037__b20938134943014">/client/Kafka/kafka/config/producer.properties</strong>, where <strong id="mrs_01_1037__b763720193111">/opt</strong><strong id="mrs_01_1037__b86376183119"></strong><strong id="mrs_01_1037__b196371315313">/client</strong> indicates the installation directory of the Kafka client.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1037__table22137713255"></a><a name="table22137713255"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1037__table22137713255" frame="border" border="1" rules="all"><caption><b>Table 4 </b>Server HA parameters</caption><thead align="left"><tr id="mrs_01_1037__row14213179258"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.3.2.3.2.4.1.1"><p id="mrs_01_1037__p10917143910257">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.3.2.3.2.4.1.2"><p id="mrs_01_1037__p1991712395259">Recommended Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.3.2.3.2.4.1.3"><p id="mrs_01_1037__p891753915257">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1037__row192149713259"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.3.2.3.2.4.1.1 "><p id="mrs_01_1037__p1997943012257">acks</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.3.2.3.2.4.1.2 "><p id="mrs_01_1037__p597943018259">-1</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.3.2.3.2.4.1.3 "><p id="mrs_01_1037__p1979193012520">The leader needs to check whether the message has been received and determine whether the required operation has been processed.</p>
+<p id="mrs_01_1037__p29798306259">If this parameter is set to <strong id="mrs_01_1037__b145035423942342">-1</strong>, the message is considered to be successfully received only when all replicas in the ISR list have confirmed to receive the message. This parameter is used along with <span class="parmname" id="mrs_01_1037__parmname8979163012250"><b>min.insync.replicas</b></span> to ensure that multiple copies are successfully written. As long as one copy is active, the record will not be lost. If this parameter is set to <strong id="mrs_01_1037__b101053400555">-1</strong>, the production performance deteriorates. Therefore, you need to set this parameter based on the actual situation.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1037__section9377162414465"><h4 class="sectiontitle">Configuration Suggestions</h4><p id="mrs_01_1037__p19856345466">Configure parameters based on requirements on reliability and performance in the following service scenarios:</p>
+<ul id="mrs_01_1037__ul45061357164616"><li id="mrs_01_1037__li1850635764616">For valued data, you are advised to configure RAID1 or RAID5 for Kafka data directory disks to improve data reliability when a single disk is faulty.</li><li id="mrs_01_1037__li735281413473">For parameters that can be modified at the topic level, the service level configurations are used by default.<p id="mrs_01_1037__p698359464"><a name="mrs_01_1037__li735281413473"></a><a name="li735281413473"></a>These parameters can be separately configured based on topic reliability requirements. For example, log in to the Kafka client as user <strong id="mrs_01_1037__b12254195853215">root</strong>, and run the following command to configure the reliability parameter with topic named test in the client installation directory:</p>
+<p id="mrs_01_1037__p694925013378"><strong id="mrs_01_1037__b794945014376">cd Kafka/kafka/bin</strong></p>
+<p id="mrs_01_1037__p20949350133712"><strong id="mrs_01_1037__b169491350103715">kafka-topics.sh --zookeeper 192.168.1.205:2181/kafka --alter --topic test --config unclean.leader.election.enable=false --config min.insync.replicas=2</strong></p>
+<p id="mrs_01_1037__p10131635194618"><strong id="mrs_01_1037__b133614187142342">192.168.1.205</strong> indicates the ZooKeeper service IP address.</p>
+</li></ul>
+<ul id="mrs_01_1037__ul18131182215472"><li id="mrs_01_1037__li1713112234710">If parameters are at the service level, Kafka needs to be restarted. You are advised to modify the service-level configuration in the change window.</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0375.html">Using Kafka</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1038.html b/docs/mrs/component-operation-guide/mrs_01_1038.html
new file mode 100644
index 000000000..6fa76ee9c
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@@ -0,0 +1,38 @@
+<a name="mrs_01_1038"></a><a name="mrs_01_1038"></a>
+
+<h1 class="topictitle1">Changing the Broker Storage Directory</h1>
+<div id="body1590134593891"><div class="section" id="mrs_01_1038__s18e9e81c2dc846d487535fc584743b86"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1038__p1944684185813">This section applies to MRS 3.x or later.</p>
+<p id="mrs_01_1038__a15fe07a3aa8f4f0c9f1d9e2521eab897">When a broker storage directory is added, the system administrator needs to change the broker storage directory on FusionInsight Manager, to ensure that the Kafka can work properly. The new topic partition will be generated in the directory that has fewest partitions. Changing the ZooKeeper storage directory includes the following scenarios:</p>
+<div class="note" id="mrs_01_1038__note12910074144257"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1038__p49081802144257">Because Kafka does not detect disk capacity, ensure that the disk quantity and capacity configured for each Broker instance are the same. </p>
+</div></div>
+<ul id="mrs_01_1038__u0919e9bb4f144689aca10dc39e7d6bce"><li id="mrs_01_1038__l98bf8971f7744fd6af18fd55622c4a96">Change the storage directory of the Broker role. In this way, the storage directories of all Broker instances are changed.</li><li id="mrs_01_1038__l33ac3cbcfc0d48459322810ae6f825cb">Change the storage directory of a single Broker instance. In this way, only the storage directory of this Broker instance is changed, and the storage directories of other Broker instances remain the same.</li></ul>
+</div>
+<div class="section" id="mrs_01_1038__se5ef27c5cfb544d39b9d5ed763a59138"><h4 class="sectiontitle">Impact on the System</h4><ul id="mrs_01_1038__udcb362b5273c460ebe3d5002ceb7440e"><li id="mrs_01_1038__l9f1e4cc26ef34042b5830e949eb02e71">Changing the Broker role storage directory requires the restart of services. The services cannot be accessed during the restart.</li><li id="mrs_01_1038__lbc5274bfdc0142598aca8636ea3ed7fe">The storage directory of a single Broker instance can be changed only after the instance is restarted. The instance cannot provide services during the restart.</li><li id="mrs_01_1038__l716ac729113d431d8633c1e141638059">The directory for storing service parameter configurations must also be updated.</li></ul>
+</div>
+<div class="section" id="mrs_01_1038__sfe28b1cf174249788a675b39f62aaf80"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1038__u4c90655ae7df4fe2844383d839f16186"><li id="mrs_01_1038__l25d7e74ed3134e08abd511d5bca4975b">New disks have been prepared and installed on each data node, and the disks are formatted.</li><li id="mrs_01_1038__l4b452eb64d6a46508b0d38c4dd7b85ff">The Kafka client has been installed.</li><li id="mrs_01_1038__ld0f3eb727952471c9cc317eb92202352">When you change the storage directory of a single Broker instance, the number of active Broker instances must be greater than the number of backups specified during topic creation.</li></ul>
+</div>
+<div class="section" id="mrs_01_1038__sb9f543ade4344d7a974580b18ccee1dd"><h4 class="sectiontitle">Procedure</h4><p class="tableheading" id="mrs_01_1038__a2701fa0af514456e80bd20b0c8a132ed"><strong id="mrs_01_1038__a4449e03af6fe4ac789f20d0477d50d04">Changing the storage directory of the Kafka role</strong></p>
+<ol id="mrs_01_1038__o717c3949e5314f4aa8b5cbc09038a541"><li id="mrs_01_1038__la5a8411778854d7cb7d4722cedbdfac3"><span>Log in as user <strong id="mrs_01_1038__b18309202419373">root</strong> to each node on which the Kafka service is installed, and perform the following operations:</span><p><ol class="subitemlist" type="a" id="mrs_01_1038__ob74f84a72d3f497abec1754012eeaeac"><li id="mrs_01_1038__lb919b41a99564fd986ef705e82e6efb6">Create a target directory.<p class="litext" id="mrs_01_1038__a7e09e5b63f24426888b13fdc9cdf9ae5"><a name="mrs_01_1038__lb919b41a99564fd986ef705e82e6efb6"></a><a name="lb919b41a99564fd986ef705e82e6efb6"></a>For example, to create the target directory <strong id="mrs_01_1038__b190482017843412">${BIGDATA_DATA_HOME}/kafka/data2</strong>, run the following command:</p>
+<p class="litext" id="mrs_01_1038__ac57c9e4f65a94ddc9e2af51efa8a8ea6"><strong id="mrs_01_1038__a32cf5208d52440e6ae616e6363af1ed6">mkdir ${BIGDATA_DATA_HOME}/kafka/data2</strong></p>
+</li><li id="mrs_01_1038__la981761a97cd46378cf67e916004379d">Mount the directory to the new disk. For example, mount <strong id="mrs_01_1038__b14961435543412">${BIGDATA_DATA_HOME}/kafka/data2</strong> to the new disk.</li><li id="mrs_01_1038__l37744f931fb94de4ba4b1f73af3cc3bd">Modify permissions on the new directory.<p id="mrs_01_1038__a82eb7b19288545e6a51cf0a6958556cd"><a name="mrs_01_1038__l37744f931fb94de4ba4b1f73af3cc3bd"></a><a name="l37744f931fb94de4ba4b1f73af3cc3bd"></a>For example, to modify permissions on the <strong id="mrs_01_1038__b105235981343412">${BIGDATA_DATA_HOME}/kafka/data2</strong> directory, run the following commands:</p>
+<p id="mrs_01_1038__ac457d4c697064d2c891a185f708ccf49"><strong id="mrs_01_1038__b63305097043412">chmod 700 ${BIGDATA_DATA_HOME}/kafka/data2 -R</strong> and <strong id="mrs_01_1038__b102045627643412">chown omm:wheel ${BIGDATA_DATA_HOME}/kafka/data2 -R</strong></p>
+</li></ol>
+</p></li><li id="mrs_01_1038__li365613301414"><span>Log in to FusionInsight Manager for clusters of MRS 3.<em id="mrs_01_1038__i14499166191410">x</em> or later and choose <strong id="mrs_01_1038__b1082311135406">Cluster</strong> &gt; <strong id="mrs_01_1038__b722019169402">Services</strong> &gt; <strong id="mrs_01_1038__b2056141894014">Kafka</strong> &gt; <strong id="mrs_01_1038__b18105122514401">Configurations</strong>.</span></li><li id="mrs_01_1038__lb3a8cf0df4d145769574f13c68254751"><span>Add a new directory to the end of the default value of <strong id="mrs_01_1038__b13937142195218">log.dirs</strong>.</span><p><p class="litext" id="mrs_01_1038__p1667317407156">Enter <strong id="mrs_01_1038__b15586311135218">log.dirs</strong> in the search box and add the new directory to the end of the default value of the<strong id="mrs_01_1038__b18972141825218"> log.dirs</strong> configuration item. Use commas (,) to separate multiple directories. For example:</p>
+<p id="mrs_01_1038__p6669194019151"><strong id="mrs_01_1038__b5442191961414">${BIGDATA_DATA_HOME}/kafka/data1/kafka-logs,${BIGDATA_DATA_HOME}/kafka/data2/kafka-logs</strong></p>
+</p></li><li id="mrs_01_1038__li3570376109"><span>Click <strong id="mrs_01_1038__b113303651743412">Save</strong>, and then click <strong id="mrs_01_1038__b63415906243412">OK</strong>. When <strong id="mrs_01_1038__b66045529143412">Operation succeeded</strong> is displayed, click <strong id="mrs_01_1038__b69999774943412">Finish</strong>.</span></li><li id="mrs_01_1038__l26afb2845f844834ae38295cedab2b58"><span>Choose <strong id="mrs_01_1038__b159731811114316">Cluster</strong> &gt; <strong id="mrs_01_1038__b18601914144316">Services</strong> &gt; <strong id="mrs_01_1038__b990571615432">Kafka</strong>. In the upper right corner, choose <strong id="mrs_01_1038__b2115173784317">More</strong> &gt; <strong id="mrs_01_1038__b0882840124320">Restart Service</strong> to restart the Kafka service.</span></li></ol>
+<p id="mrs_01_1038__a1a19072b6c774e708555838ccdec602b"><strong id="mrs_01_1038__a0fd9d7aae13c4bbe9fff193719fd0e83">Changing the storage directory of a single Kafka instance</strong></p>
+<ol start="6" id="mrs_01_1038__o645c95b933d541c49b041953e4576e91"><li id="mrs_01_1038__lcb54ae5030a34c39babf086c3a339cf0"><span>Log in to the Broker node as user <strong id="mrs_01_1038__b220819264420">root</strong> and perform the following operations:</span><p><ol class="subitemlist" type="a" id="mrs_01_1038__o2ae246e09f804efeb4be9cfa1170d5bf"><li id="mrs_01_1038__l4245f1a101b04c95929252f9329d31b7">Create a target directory.<p class="litext" id="mrs_01_1038__a0e0cc46f1cb94d3ead3d825f3a7bfe02"><a name="mrs_01_1038__l4245f1a101b04c95929252f9329d31b7"></a><a name="l4245f1a101b04c95929252f9329d31b7"></a>For example, to create the target directory <strong id="mrs_01_1038__b74755525443412">${BIGDATA_DATA_HOME}/kafka/data2</strong>, run the following command:</p>
+<p class="litext" id="mrs_01_1038__aed9ebf17b662417aa6e9148edbba22dd"><strong id="mrs_01_1038__a8d501e69c0d746d69bc52c8eb6aec664">mkdir ${BIGDATA_DATA_HOME}/kafka/data2</strong></p>
+</li><li id="mrs_01_1038__l0f19cc52e385485fb549ecd4feca0eb7">Mount the directory to the new disk. For example, mount <strong id="mrs_01_1038__b84004703143412">${BIGDATA_DATA_HOME}/kafka/data2</strong> to the new disk.</li><li id="mrs_01_1038__lf37ed8b168b248e3a6d89b31ad0a7545">Modify permissions on the new directory.<p id="mrs_01_1038__a59481ba5b8074907951af99463521b0b"><a name="mrs_01_1038__lf37ed8b168b248e3a6d89b31ad0a7545"></a><a name="lf37ed8b168b248e3a6d89b31ad0a7545"></a>For example, to modify permissions on the <strong id="mrs_01_1038__b107107231943412">${BIGDATA_DATA_HOME}/kafka/data2</strong> directory, run the following commands:</p>
+<p id="mrs_01_1038__a4c2cd4d66eee480c89a7626539eaccb1"><strong id="mrs_01_1038__b106788054143412">chmod 700 ${BIGDATA_DATA_HOME}/kafka/data2 -R</strong> and <strong id="mrs_01_1038__b160152568143412">chown omm:wheel ${BIGDATA_DATA_HOME}/kafka/data2 -R</strong></p>
+</li></ol>
+</p></li><li id="mrs_01_1038__li17446035181111"><span>Log in to FusionInsight Manager for MRS 3.<em id="mrs_01_1038__i1011315124483">x</em> or later, and choose <strong id="mrs_01_1038__b265591524820">Cluster</strong> &gt; <strong id="mrs_01_1038__b227917181488">Services</strong> &gt; <strong id="mrs_01_1038__b1859572016481">Kafka</strong> &gt; <strong id="mrs_01_1038__b1021102510482">Instance</strong>.</span></li><li id="mrs_01_1038__l84912cef59884bd39e9756de1e5bfce0"><span>Click the specified broker instance and switch to <strong id="mrs_01_1038__b169303324820">Instance Configurations</strong>.</span><p><p class="litext" id="mrs_01_1038__a3a45f1df536b4704aee08869835629c3">Enter <strong id="mrs_01_1038__b159802711521">log.dirs</strong> in the search box and add the new directory to the end of the default value of the<strong id="mrs_01_1038__b10981927205219"> log.dirs</strong> configuration item. Use commas (,) to separate multiple directories, for example, <strong id="mrs_01_1038__b157798215156">${BIGDATA_DATA_HOME}/kafka/data1/kafka-logs,${BIGDATA_DATA_HOME}/kafka/data2/kafka-logs</strong>.</p>
+</p></li><li id="mrs_01_1038__li17225111801217"><span>Click <strong id="mrs_01_1038__b1995255620488">Save</strong>, and then click <strong id="mrs_01_1038__b614010598481">OK</strong>. A message is displayed, indicating that the operation is successful. Click <strong id="mrs_01_1038__b770317674910">Finish</strong>.</span></li><li id="mrs_01_1038__l6770d59827344a869267353ec58ad6e0"><span>On the Broker instance page, choose <strong id="mrs_01_1038__b109014126501">More</strong> &gt; <strong id="mrs_01_1038__b148773142505">Restart Instance</strong> to restart the Broker instance.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0375.html">Using Kafka</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1039.html b/docs/mrs/component-operation-guide/mrs_01_1039.html
new file mode 100644
index 000000000..0f4c2bb2d
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+++ b/docs/mrs/component-operation-guide/mrs_01_1039.html
@@ -0,0 +1,30 @@
+<a name="mrs_01_1039"></a><a name="mrs_01_1039"></a>
+
+<h1 class="topictitle1">Checking the Consumption Status of Consumer Group</h1>
+<div id="body1590134593893"><div class="section" id="mrs_01_1039__section16495586143216"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1039__p4372151411224">This section describes how to view the current expenditure on the client based on service requirements.</p>
+<p id="mrs_01_1039__p1944684185813">This section applies to MRS 3.<em id="mrs_01_1039__i46510418526">x</em> or later.</p>
+</div>
+<div class="section" id="mrs_01_1039__section25964774143228"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1039__ul6069050143251"><li id="mrs_01_1039__li40521849143251">The system administrator has understood service requirements and prepared a system user.</li></ul>
+</div>
+<ul id="mrs_01_1039__ul54621450143251"><li id="mrs_01_1039__li10166364143251">The Kafka client has been installed.</li></ul>
+<div class="section" id="mrs_01_1039__section14399982143239"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1039__ol39347335143522"><li id="mrs_01_1039__li11285618143522"><span>Log in as a client installation user to the node on which the Kafka client is installed.</span></li><li id="mrs_01_1039__li61987727143524"><span>Switch to the Kafka client installation directory, for example, <strong id="mrs_01_1039__b18635258171318">/opt/kafkaclient</strong>.</span><p><p id="mrs_01_1039__p3064111714354"><strong id="mrs_01_1039__b3995695415225">cd /opt/kafkaclient</strong></p>
+</p></li><li id="mrs_01_1039__li48669262143532"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_1039__p4532096914354"><strong id="mrs_01_1039__b10329033143547">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_1039__li10284003143554"><span>Run the following command to perform user authentication (skip this step in normal mode):</span><p><p id="mrs_01_1039__p5861543214354"><strong id="mrs_01_1039__b3225124112157">kinit</strong> <em id="mrs_01_1039__i723034141512">Component service user</em></p>
+</p></li><li id="mrs_01_1039__li13769366143610"><span>Run the following command to switch to the Kafka client installation directory:</span><p><p id="mrs_01_1039__p4206274514354"><strong id="mrs_01_1039__b30695343143616">cd Kafka/kafka/bin</strong></p>
+</p></li><li id="mrs_01_1039__li34880554143641"><span>Run the <strong id="mrs_01_1039__b7544155521516">kafka-consumer-groups.sh</strong> command to check the current consumption status. </span><p><ul id="mrs_01_1039__ul2069738714499"><li id="mrs_01_1039__li1523497914499">Check the Consumer Group list on Kafka saved by Offset:<p id="mrs_01_1039__p26226751143715"><a name="mrs_01_1039__li1523497914499"></a><a name="li1523497914499"></a><strong id="mrs_01_1039__b45704206144259">./kafka-consumer-groups.sh --list --bootstrap-server</strong> &lt;<em id="mrs_01_1039__i30665082143959"><em id="mrs_01_1039__i19246654184713">Service IP address of any broker node</em>:21007</em>&gt;<strong id="mrs_01_1039__b3768339814434"> --command-config ../config/consumer.properties</strong></p>
+<p id="mrs_01_1039__p48311586143710">eg:./kafka-consumer-groups.sh --bootstrap-server 192.168.1.1:21007 --list --command-config ../config/consumer.properties</p>
+</li></ul>
+<ul id="mrs_01_1039__ul19428758144915"><li id="mrs_01_1039__li56709724144915">Check the consumption status of Consumer Group on Kafka saved by Offset:<p id="mrs_01_1039__p39082589143736"><a name="mrs_01_1039__li56709724144915"></a><a name="li56709724144915"></a><strong id="mrs_01_1039__b53123589144318">./kafka-consumer-groups.sh --describe --bootstrap-server</strong> &lt;<em id="mrs_01_1039__i7400057144230"><em id="mrs_01_1039__i460320159218"><em id="mrs_01_1039__i751216224811">Service IP address of any broker node</em></em>:21007</em>&gt;<em id="mrs_01_1039__i53480706144329"> --group Consumer group name</em> <strong id="mrs_01_1039__b36741120144335">--command-config ../config/consumer.properties</strong></p>
+<p id="mrs_01_1039__p2914888314354">eg:./kafka-consumer-groups.sh --describe --bootstrap-server 192.168.1.1:21007 --group example-group --command-config ../config/consumer.properties</p>
+</li></ul>
+<div class="notice" id="mrs_01_1039__note8546766143748"><span class="noticetitle"><img src="public_sys-resources/notice_3.0-en-us.png"> </span><div class="noticebody"><ol type="a" id="mrs_01_1039__ol5256348114380"><li id="mrs_01_1039__li933450714380">Ensure that the current consumer is online and consumes data.</li><li id="mrs_01_1039__li4041913714380">Configure the <strong id="mrs_01_1039__b1722335022715">group.id</strong> in the <strong id="mrs_01_1039__b1888035311270">consumer.properties</strong> configuration file and <strong id="mrs_01_1039__b289618012810">--group</strong> in the command to the group to be queried.</li><li id="mrs_01_1039__li5388817103242">The Kafka cluster's IP port number is 21007 in security mode and 9092 in normal mode.</li></ol>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0375.html">Using Kafka</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1040"></a><a name="mrs_01_1040"></a>
+
+<h1 class="topictitle1">Kafka Balancing Tool Instructions</h1>
+<div id="body1590134593900"><div class="section" id="mrs_01_1040__section31432520151519"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1040__p40367418151531">This section describes how to use the Kafka balancing tool on a client to balance the load of the Kafka cluster based on service requirements in scenarios such as node decommissioning, node recommissioning, and load balancing. </p>
+<p id="mrs_01_1040__p1944684185813">This section applies to MRS 3.<em id="mrs_01_1040__i467911402525">x</em> or later. For versions earlier than MRS 3.<em id="mrs_01_1040__i1729621312418">x</em>, see <a href="mrs_01_24299.html">Balancing Data After Kafka Node Scale-Out</a>.</p>
+</div>
+<div class="section" id="mrs_01_1040__section6225422151549"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1040__ul60396398151610"><li id="mrs_01_1040__li19456458151610">The system administrator has understood service requirements and prepared a Kafka administrator (belonging to the <strong id="mrs_01_1040__b146273501522">kafkaadmin</strong> group. It is not required for the normal mode.). </li><li id="mrs_01_1040__li9964895151620">The Kafka client has been installed.</li></ul>
+</div>
+<div class="section" id="mrs_01_1040__section46036500151654"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1040__ol16690725151827"><li id="mrs_01_1040__li63919712151827"><span>Log in as a client installation user to the node on which the Kafka client is installed.</span></li><li id="mrs_01_1040__li49261531151838"><span>Switch to the Kafka client installation directory, for example, <strong id="mrs_01_1040__b1543017119535">/opt/kafkaclient</strong>.</span><p><p id="mrs_01_1040__p1430181313479"><strong id="mrs_01_1040__b1484700134720">cd /opt/kafkaclient</strong></p>
+</p></li><li id="mrs_01_1040__li41350393151913"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_1040__p36609218151913"><strong id="mrs_01_1040__b10692161718521">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_1040__li43070926151956"><span>Run the following command to authenticate the user (skip this step in normal mode):</span><p><p id="mrs_01_1040__p39415123152019"><strong id="mrs_01_1040__b15178151785311">kinit</strong> <em id="mrs_01_1040__i1517916171530">Component service user</em></p>
+</p></li><li id="mrs_01_1040__li9706746152023"><span>Run the following command to switch to the Kafka client installation directory:</span><p><p id="mrs_01_1040__p917269152045"><strong id="mrs_01_1040__b8855144875318">cd Kafka/kafka</strong></p>
+</p></li><li id="mrs_01_1040__li35359307152051"><span>Run the <strong id="mrs_01_1040__b11564182135316">kafka-balancer.sh</strong> command to balance user cluster. The commonly used commands are:</span><p><ul id="mrs_01_1040__ul21332352152118"><li id="mrs_01_1040__li22214994152118">Run the <strong id="mrs_01_1040__b32511455125310">--run</strong> command to perform cluster balancing: <p id="mrs_01_1040__p26053051152143"><strong id="mrs_01_1040__b137021357155316">./bin/kafka-balancer.sh --run --zookeeper</strong> <em id="mrs_01_1040__i07085577533">&lt;ZooKeeper</em><em id="mrs_01_1040__i171025713533"><em id="mrs_01_1040__i27096579534"> <em id="mrs_01_1040__i11709457125315">service IP address of any ZooKeeper node</em></em>:zkPort<strong id="mrs_01_1040__b37091757195316">/kafka</strong>&gt;</em> <strong id="mrs_01_1040__b1471045720535">--bootstrap-server</strong> <em id="mrs_01_1040__i07101557155315">&lt;Kafka</em><em id="mrs_01_1040__i5711157105314"> cluster IP: port&gt;</em> <strong id="mrs_01_1040__b15991167115410">--throttle 10000000 --consumer-config config/consumer.properties --enable-az-aware --show-details</strong></p>
+<p id="mrs_01_1040__p49904411152217">This command consists of generation and execution of the balancing solution. <strong id="mrs_01_1040__b9114165621">--show-details</strong> is optional, indicating whether to print the solution details. <strong id="mrs_01_1040__b329815724">--throttle</strong> indicates the bandwidth limit during the execution of the balancing solution. The unit is bytes per second (bytes/sec). <strong id="mrs_01_1040__b1233864916213">--enable-az-aware</strong> indicates that the cross-AZ feature is enabled when the balancing solution is generated. When this parameter is used, ensure that the cross-AZ feature has been enabled for the cluster.</p>
+</li><li id="mrs_01_1040__li44659366152229">Run the <strong id="mrs_01_1040__b19429111010557">--run</strong> command to decommission a node:<p id="mrs_01_1040__p54301942152240"><strong id="mrs_01_1040__b6197161214555">./bin/kafka-balancer.sh --run --zookeeper </strong><em id="mrs_01_1040__i1120571265510">&lt;<em id="mrs_01_1040__i52042012145517"><em id="mrs_01_1040__i1320341225516">Service IP address of any ZooKeeper node</em></em>:zkPort<strong id="mrs_01_1040__b14205121216554">/kafka</strong>&gt;</em> <strong id="mrs_01_1040__b820611127556">--bootstrap-server</strong> <em id="mrs_01_1040__i8207171265511">&lt;Kafka cluster IP address: port&gt;</em> <strong id="mrs_01_1040__b220721235514">--throttle 10000000 --consumer-config config/consumer.properties --remove-brokers </strong><em id="mrs_01_1040__i3208112195519">&lt;BrokerId list&gt;</em><strong id="mrs_01_1040__b149206418547"> --enable-az-aware --force</strong></p>
+<p id="mrs_01_1040__p26885854152252">In the command, <strong id="mrs_01_1040__b285855412317">--remove-brokers</strong> indicates the list of broker IDs to be deleted. Multiple broker IDs are separated by commas (,). <strong id="mrs_01_1040__b164319151941">--force</strong> is optional, indicating that the disk usage alarm is ignored and the migration solution is forcibly generated. <strong id="mrs_01_1040__b122815344415">-enable-az-aware</strong> is optional, indicating that the cross-AZ feature is enabled when the balancing solution is generated. When this parameter is used, ensure that the cross-AZ feature has been enabled for the cluster.</p>
+<div class="note" id="mrs_01_1040__note1412815525454"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1040__p912925211456">This command migrates data on the Broker nodes to be decommissioned to other Broker nodes.</p>
+</div></div>
+</li><li id="mrs_01_1040__li25104541152330">Run the following command to view the execution status: <p id="mrs_01_1040__p65034562152347"><a name="mrs_01_1040__li25104541152330"></a><a name="li25104541152330"></a><strong id="mrs_01_1040__b189324586559">./bin/kafka-balancer.sh --status --zookeeper</strong> <em id="mrs_01_1040__i79411358195520">&lt;<em id="mrs_01_1040__i3939058145514"><em id="mrs_01_1040__i9938205816557">Service IP address of any ZooKeeper node</em></em>:zkPort<strong id="mrs_01_1040__b1494035885515">/kafka</strong>&gt;</em></p>
+</li><li id="mrs_01_1040__li5567054152359">Run the following command to generate a balancing solution:<p id="mrs_01_1040__p24048929152438"><a name="mrs_01_1040__li5567054152359"></a><a name="li5567054152359"></a><strong id="mrs_01_1040__b119736175720">./bin/kafka-balancer.sh --generate --zookeeper</strong> <em id="mrs_01_1040__i179801410576">&lt;</em><em id="mrs_01_1040__i12984811572"><em id="mrs_01_1040__i4982181185712"><em id="mrs_01_1040__i169810112572">Service IP address of any ZooKeeper node</em></em>:zkPort<strong id="mrs_01_1040__b2098331115717">/kafka</strong>&gt;</em><strong id="mrs_01_1040__b398511145713"> --bootstrap-server </strong><em id="mrs_01_1040__i298720110570">&lt;Kafka</em><em id="mrs_01_1040__i29887113576"> cluster IP address:port&gt;</em> <strong id="mrs_01_1040__b1310891755516">--consumer-config config/consumer.properties --enable-az-aware</strong></p>
+<p id="mrs_01_1040__p38042917152421">This command is used to generate a migration solution based on the current cluster status and print the solution to the console. <strong id="mrs_01_1040__b1936528256">--enable-az-aware</strong> is optional, indicating that the cross-AZ feature is enabled when a migration solution is generated. If this parameter is used, ensure that the cross-AZ feature has been enabled for the cluster.</p>
+</li><li id="mrs_01_1040__li62064580152451">Clearing the intermediate status<p id="mrs_01_1040__p44916214152512"><a name="mrs_01_1040__li62064580152451"></a><a name="li62064580152451"></a><strong id="mrs_01_1040__b1636714388582">./bin/kafka-balancer.sh --clean --zookeeper </strong><em id="mrs_01_1040__i5372438105810">&lt;</em><em id="mrs_01_1040__i1437413816586"><em id="mrs_01_1040__i17373638135812"><em id="mrs_01_1040__i163731738125816">Service IP address of any ZooKeeper node</em></em>:zkPort<strong id="mrs_01_1040__b1337316383586">/kafka</strong>&gt;</em></p>
+<p id="mrs_01_1040__p37417771152514">This command is used to clear the intermediate status information on the ZooKeeper when the migration is not complete.</p>
+<div class="notice" id="mrs_01_1040__note59683659155046"><span class="noticetitle"><img src="public_sys-resources/notice_3.0-en-us.png"> </span><div class="noticebody"><p id="mrs_01_1040__p282025155046">The port number of the Kafka cluster's IP address is 21007 in security mode and 9092 in normal mode.</p>
+</div></div>
+</li></ul>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_1040__section17391780194723"><h4 class="sectiontitle">Troubleshooting</h4><p id="mrs_01_1040__p17143722194752">During partition migration using the Kafka balancing tool, if the execution progress of the balancing tool is blocked due to a Broker fault in the cluster, you need to manually rectify the fault. The scenarios are as follows:</p>
+<ul id="mrs_01_1040__ul55348467194819"><li id="mrs_01_1040__li59315838194819">The Broker is faulty because the disk usage reaches 100%. <ol id="mrs_01_1040__ol142219291029"><li id="mrs_01_1040__li4221229429">Log in to FusionInsight Manager, choose <span id="mrs_01_1040__text481915153511"><strong id="mrs_01_1040__b147333532224">Cluster</strong> &gt; <em id="mrs_01_1040__i4640056142213">Name of the desired cluster</em> &gt; </span><strong id="mrs_01_1040__b115805592221">Services</strong> &gt; <strong id="mrs_01_1040__b152635519230">Kafka</strong> &gt; <strong id="mrs_01_1040__b1921567162317">Instance</strong>, stop the Broker instance in the <span class="parmname" id="mrs_01_1040__p33f63ce2b3484a958e31c5b02940569c"><b>Restoring</b></span> state, and record the management IP address of the node where the instance resides and the corresponding <span class="parmname" id="mrs_01_1040__p5c2c2960a99949798cc94409022a98e5"><b>broker.id</b></span>. You can click the role name to view the value, on the <strong id="mrs_01_1040__b3992183810247">Instance Configurations</strong> page, select <strong id="mrs_01_1040__b11992143192415">All Configurations</strong> and search for the <strong id="mrs_01_1040__b12280204782410">broker.id</strong> parameter.</li><li id="mrs_01_1040__li125161232924">Log in to the recorded management IP address as user <strong id="mrs_01_1040__b17901841258">root</strong>, and run the <strong id="mrs_01_1040__b1536912815256">df -lh</strong> command to view the mounted directory whose disk usage is 100%, for example, <span class="filepath" id="mrs_01_1040__fd6e5c46006c6425a9ef69424ac924865"><b>${BIGDATA_DATA_HOME}/kafka/data1</b></span>.</li><li id="mrs_01_1040__li13852492213">Go to the directory, run the <strong id="mrs_01_1040__ac97bb553a3564a87b2f5e33e5a1eab2e">du -sh *</strong> command to view the size of each file in the directory, Check whether files other than files in the <span class="filepath" id="mrs_01_1040__fb86d6e2e66a4462f86f2aba9c9e1c489"><b>kafka-logs</b></span> directory exist, and determine whether these files can be deleted or migrated.<ul id="mrs_01_1040__u38bab1deb4d34a1386f090d17c515b08"><li id="mrs_01_1040__l2999d98d179d42e39d30bb8b3d0eaf21">If yes, delete or migrate the related data and go to <a href="#mrs_01_1040__li286010416517">8</a>.</li><li id="mrs_01_1040__l2b42313b30db4597ad54eac0b6f4f555">If no, go to <a href="#mrs_01_1040__li207716388315">4</a>.</li></ul>
+</li><li id="mrs_01_1040__li207716388315"><a name="mrs_01_1040__li207716388315"></a><a name="li207716388315"></a>Go to the <span class="filepath" id="mrs_01_1040__fa553ac2240d34e0fb4b8115ab027e7af"><b>kafka-logs</b></span> directory, run the <strong id="mrs_01_1040__ae5f45cb84f804e49bd48e0d444c22785">du -sh *</strong> command, select a partition folder to be moved. The naming rule is <span class="filepath" id="mrs_01_1040__f836da7286d76482f84407ed15d2da359"><b>Topic name-Partition ID</b></span>. Record the topic and partition.</li><li id="mrs_01_1040__l847204e787034666b0ffc45eaaaf2cd4"><a name="mrs_01_1040__l847204e787034666b0ffc45eaaaf2cd4"></a><a name="l847204e787034666b0ffc45eaaaf2cd4"></a>Modify the <span class="filepath" id="mrs_01_1040__f19babbcb4faa450db075e9284e7042bc"><b>recovery-point-offset-checkpoint</b></span> and <span class="filepath" id="mrs_01_1040__f6f04aaff07af4f8db46c1d3b2486a87e"><b>replication-offset-checkpoint</b></span> files in the <span class="filepath" id="mrs_01_1040__f5c6cd8dccdd44d6aaf5ea0bb41346118"><b>kafka-logs</b></span> directory in the same way.<ol type="a" id="mrs_01_1040__ol98321951193410"><li id="mrs_01_1040__li1832145116344">Decrease the number in the second line in the file. (To remove multiple directories, the number deducted is equal to the number of files to be removed.</li><li id="mrs_01_1040__li168327516345">Delete the line of the to-be-removed partition. (The line structure is "<em id="mrs_01_1040__i1302155462810">Topic name Partition ID Offset</em>". Save the data before deletion. Subsequently, the content must be added to the file of the same name in the destination directory.)</li></ol>
+</li><li id="mrs_01_1040__li173751231545">Modify the <span class="filepath" id="mrs_01_1040__f26636e30e7a9415e8b2306ec6e21c47d"><b>recovery-point-offset-checkpoint</b></span> and <span class="filepath" id="mrs_01_1040__fd7350e627c324605b5491778db40731f"><b>replication-offset-checkpoint</b></span> files in the destination data directory (for example, <span class="filepath" id="mrs_01_1040__f2663cc09fbc249c0b94cfbb4904dd320"><b>${BIGDATA_DATA_HOME}/kafka/data2/kafka-logs</b></span>) in the same way.<ul id="mrs_01_1040__u03fe2aaee97f44f2a26fccb751250335"><li id="mrs_01_1040__l5c20275731a542b2a78efe8e2ccab97b">Increase the number in the second line in the file. (To move multiple directories, the number added is equal to the number of files to be moved.</li><li id="mrs_01_1040__l97f01ca2c58340de8ac52a1f43f3e69b">Add the to-be moved partition to the end of the file. (The line structure is "<em id="mrs_01_1040__i1622120150304">Topic name Partition ID Offset</em>". You can copy the line data saved in <a href="#mrs_01_1040__l847204e787034666b0ffc45eaaaf2cd4">5</a>.)</li></ul>
+</li><li id="mrs_01_1040__li878391652">Move the partition to the destination directory. After the partition is moved, run the <strong id="mrs_01_1040__a9a2a813953da48659fc0584f5b92d878">chown omm:wheel -R</strong> <i><span class="varname" id="mrs_01_1040__v93909bc51a2b4238a1023df50cb8df19">Partition directory</span></i> command to modify the directory owner group for the partition. </li><li id="mrs_01_1040__li286010416517"><a name="mrs_01_1040__li286010416517"></a><a name="li286010416517"></a>Log in to FusionInsight Manager and choose <span id="mrs_01_1040__text1675711468612"><strong id="mrs_01_1040__b955216197346">Cluster</strong> &gt; <em id="mrs_01_1040__i4391122293420">Name of the desired cluster</em> &gt; </span><strong id="mrs_01_1040__b10776296349">Services</strong> &gt; <strong id="mrs_01_1040__b178451432173410">Kafka</strong> &gt; <strong id="mrs_01_1040__b29501034103416">Instance</strong> to start the stopped Broker instance.</li><li id="mrs_01_1040__l534eeb8b9a5f4ae281144676bf7ddf50">Wait for 5 to 10 minutes and check whether the health status of the Broker instance is <span class="parmname" id="mrs_01_1040__p4748a28faa1942ea809afe81c98d09ad"><b>Good</b></span>.<ul id="mrs_01_1040__u3d9bcc0a1c324d99ab4b7a8bf6225085"><li id="mrs_01_1040__l94552b6bada14f7186068e915bf49de1">If yes, resolve the disk capacity insufficiency problem according to the handling method of "ALM-38001 Insufficient Kafka Disk Capacity" after the alarm is cleared.</li><li id="mrs_01_1040__l3e9755cd98ce4da0833f8d6de1787bfd">If no, contact O&amp;M support.</li></ul>
+</li></ol>
+<p id="mrs_01_1040__p20578345195914">After the faulty Broker is recovered, the blocked balancing task continues. You can run the <strong id="mrs_01_1040__b18954105103615">--status</strong> command to view the task execution progress. </p>
+</li><li id="mrs_01_1040__li50211928195118">The Broker fault occurs because of other causes, the fault scenario is clear, and the fault can be rectified within a short period of time. <ol id="mrs_01_1040__ol5006345195151"><li id="mrs_01_1040__li46509375195151">Restore the faulty Broker according to the root cause.</li><li id="mrs_01_1040__li6683901419520">After the faulty Broker is recovered, the blocked balancing task continues. You can run the <strong id="mrs_01_1040__b1481710415018">--status</strong> command to view the task execution progress. </li></ol>
+</li><li id="mrs_01_1040__li46202717195227">The Broker fault occurs because of other causes, the fault scenario is complex, and the fault cannot be rectified within a short period of time. <ol id="mrs_01_1040__ol19330120195249"><li id="mrs_01_1040__li8595299195249">Run the <strong id="mrs_01_1040__b6871144718019">kinit</strong> <em id="mrs_01_1040__i6876204711020">Kafka</em><em id="mrs_01_1040__i138779470010"> administrator account</em> command (skip this step in normal mode).</li><li id="mrs_01_1040__li64934210195257">Run the <strong id="mrs_01_1040__b406531807">zkCli.sh -server</strong> <strong id="mrs_01_1040__b25155314016">&lt;</strong><em id="mrs_01_1040__i7619531902">ZooKeeper cluster service IP address</em>:<em id="mrs_01_1040__i9725314014">zkPort</em><strong id="mrs_01_1040__b176539016">/kafka</strong><strong id="mrs_01_1040__b7865311017">&gt;</strong> command to log in to ZooKeeper Shell.</li><li id="mrs_01_1040__li53335126195317">Run the <strong id="mrs_01_1040__b9254991918">addauth krbgroup</strong> command (skip this step in normal mode).</li><li id="mrs_01_1040__li41486537195323">Delete the <span class="filepath" id="mrs_01_1040__filepath131481048165714"><b>/admin/reassign_partitions</b></span> and <span class="filepath" id="mrs_01_1040__filepath1837165016577"><b>/controller</b></span> directories.</li><li id="mrs_01_1040__li7563278195332">Perform the preceding steps to forcibly stop the migration. After the cluster recovers, run the <strong id="mrs_01_1040__b1071183716117">kafka-reassign-partitions.sh</strong> command to delete redundant copies generated during the intermediate process. </li></ol>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0375.html">Using Kafka</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1041.html b/docs/mrs/component-operation-guide/mrs_01_1041.html
new file mode 100644
index 000000000..a7efbdb27
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1041.html
@@ -0,0 +1,33 @@
+<a name="mrs_01_1041"></a><a name="mrs_01_1041"></a>
+
+<h1 class="topictitle1">Kafka Token Authentication Mechanism Tool Usage</h1>
+<div id="body1590134593902"><div class="section" id="mrs_01_1041__section114521155135419"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1041__p1334914418543">Operations need to be performed on tokens when the token authentication mechanism is used.</p>
+<p id="mrs_01_1041__p1944684185813">This section applies to security clusters of MRS 3.<em id="mrs_01_1041__i66518147951922">x</em> or later.</p>
+</div>
+<div class="section" id="mrs_01_1041__section09120820550"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1041__ul534994119547"><li id="mrs_01_1041__li1535034112546">The system administrator has understood service requirements and prepared a system user.</li><li id="mrs_01_1041__li53502419548">The Kafka client has been installed.</li></ul>
+</div>
+<div class="section" id="mrs_01_1041__section177871538135511"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1041__ol124875612551"><li id="mrs_01_1041__li122480564554"><span>Log in as a client installation user to the node on which the Kafka client is installed.</span></li><li id="mrs_01_1041__li16918114569"><span>Switch to the Kafka client installation directory, for example, <strong id="mrs_01_1041__b107016349951922">/opt/kafkaclient</strong>.</span><p><p id="mrs_01_1041__p1735010414542"><strong id="mrs_01_1041__b435018418540">cd /opt/kafkaclient</strong></p>
+</p></li><li id="mrs_01_1041__li196159493194"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_1041__p1359972013202"><strong id="mrs_01_1041__b1920152216">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_1041__li981818317208"><span>Run the following command to perform user authentication:</span><p><p id="mrs_01_1041__p49521337162017"><strong id="mrs_01_1041__b0991134617424">kinit</strong> <em id="mrs_01_1041__i179914468429">Component service user</em></p>
+</p></li><li id="mrs_01_1041__li47671834105611"><span>Run the following command to switch to the Kafka client installation directory:</span><p><p id="mrs_01_1041__p193512041145420"><strong id="mrs_01_1041__b11351124115416">cd Kafka/kafka/bin</strong></p>
+</p></li><li id="mrs_01_1041__li161674215560"><span>Use <strong id="mrs_01_1041__b1348204915212">kafka-delegation-tokens.sh</strong> to perform operations on tokens.</span><p><ul id="mrs_01_1041__ul163511041175417"><li id="mrs_01_1041__li235164145414">Generate a token for a user.<p id="mrs_01_1041__p956224715320"><a name="mrs_01_1041__li235164145414"></a><a name="li235164145414"></a><strong id="mrs_01_1041__b18901137946">./kafka-delegation-tokens.sh --create --bootstrap-server &lt;</strong><em id="mrs_01_1041__i484415371349">IP1:PORT, IP2:PORT,...</em><strong id="mrs_01_1041__b1745320461242">&gt; --max-life-time-period &lt;</strong><em id="mrs_01_1041__i0580471748">Long: max life period in milliseconds</em><strong id="mrs_01_1041__b9953155516419">&gt; --command-config &lt;</strong><em id="mrs_01_1041__i204891561548">config file</em><strong id="mrs_01_1041__b189587216518">&gt;  --renewer-principal User:&lt;</strong><em id="mrs_01_1041__i114801431755">user name</em><strong id="mrs_01_1041__b17958182751">&gt;</strong></p>
+<p id="mrs_01_1041__p11562947732">Example: <strong id="mrs_01_1041__b55693335451922">./kafka-delegation-tokens.sh --create --bootstrap-server 192.168.1.1:21007,192.168.1.2:21007,192.168.1.3:21007 --command-config ../config/producer.properties --max-life-time-period -1 --renewer-principal User:username</strong></p>
+</li></ul>
+<ul id="mrs_01_1041__ul335174114542"><li id="mrs_01_1041__li1235164111546">List information about all tokens of a specified user.<p id="mrs_01_1041__p279481714514"><a name="mrs_01_1041__li1235164111546"></a><a name="li1235164111546"></a><strong id="mrs_01_1041__b12441281456">./kafka-delegation-tokens.sh --describe --bootstrap-server &lt;</strong><em id="mrs_01_1041__i1153613285516">IP1:PORT, IP2:PORT,...</em><strong id="mrs_01_1041__b1449783315516">&gt; --command-config &lt;</strong><em id="mrs_01_1041__i11930533455">config file</em><strong id="mrs_01_1041__b1868723817513">&gt; --owner-principal User:&lt;</strong><em id="mrs_01_1041__i39253913510">user name</em><strong id="mrs_01_1041__b76871382512">&gt;</strong></p>
+<p id="mrs_01_1041__p15794317059">Example: <strong id="mrs_01_1041__b190423373651922">./kafka-delegation-tokens.sh --describe --bootstrap-server 192.168.1.1:21007,192.168.1.2:21007,192.168.1.3:21007 --command-config ../config/producer.properties --owner-principal User:username</strong></p>
+</li></ul>
+<ul id="mrs_01_1041__ul13351204195416"><li id="mrs_01_1041__li14351541115410">Update the token validity period.<p id="mrs_01_1041__p51838483517"><a name="mrs_01_1041__li14351541115410"></a><a name="li14351541115410"></a><strong id="mrs_01_1041__b18804135813512">./kafka-delegation-tokens.sh --renew --bootstrap-server &lt;</strong><em id="mrs_01_1041__i1184759354">IP1:PORT, IP2:PORT,...</em><strong id="mrs_01_1041__b43461859613">&gt; --renew-time-period &lt;</strong><em id="mrs_01_1041__i117717518615">Long: renew time period in milliseconds</em><strong id="mrs_01_1041__b193451391964">&gt; --command-config &lt;</strong><em id="mrs_01_1041__i19941493611">config file</em><strong id="mrs_01_1041__b1316951416610">&gt; --hmac &lt;</strong><em id="mrs_01_1041__i97067148612">String: HMAC of the delegation token</em><strong id="mrs_01_1041__b15169514769">&gt;</strong></p>
+<p id="mrs_01_1041__p9183134818514">Example: <strong id="mrs_01_1041__b17117096351922">./kafka-delegation-tokens.sh --renew --bootstrap-server 192.168.1.1:21007,192.168.1.2:21007,192.168.1.3:21007 --renew-time-period -1 --command-config ../config/producer.properties --hmac ABCDEFG</strong></p>
+</li></ul>
+<ul id="mrs_01_1041__ul18351104125418"><li id="mrs_01_1041__li23511541115417">Destroy a token.<p id="mrs_01_1041__p174952317613"><a name="mrs_01_1041__li23511541115417"></a><a name="li23511541115417"></a><strong id="mrs_01_1041__b247942264">./kafka-delegation-tokens.sh --expire --bootstrap-server &lt;</strong><em id="mrs_01_1041__i154912426611">IP1:PORT, IP2:PORT,...</em><strong id="mrs_01_1041__b1235104813617">&gt; --expiry-time-period &lt;</strong><em id="mrs_01_1041__i93594483616">Long: expiry time period in milliseconds</em><strong id="mrs_01_1041__b923212526613">&gt; --command-config &lt;</strong><em id="mrs_01_1041__i97076521466">config file</em><strong id="mrs_01_1041__b818655713616">&gt; --hmac &lt;</strong><em id="mrs_01_1041__i18733757467">String: HMAC of the delegation token</em><strong id="mrs_01_1041__b118616571264">&gt;</strong></p>
+<p id="mrs_01_1041__p134942311861">Example: <strong id="mrs_01_1041__b204898601151922">./kafka-delegation-tokens.sh --expire --bootstrap-server 192.168.1.1:21007,192.168.1.2:21007,192.168.1.3:21007 --expiry-time-period -1 --command-config ../config/producer.properties --hmac ABCDEFG</strong></p>
+</li></ul>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0375.html">Using Kafka</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1042.html b/docs/mrs/component-operation-guide/mrs_01_1042.html
new file mode 100644
index 000000000..2b1e93a23
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1042.html
@@ -0,0 +1,190 @@
+<a name="mrs_01_1042"></a><a name="mrs_01_1042"></a>
+
+<h1 class="topictitle1">Introduction to Kafka Logs</h1>
+<div id="body1590133087326"><p id="mrs_01_1042__p1944684185813">This section applies to MRS 3.<em id="mrs_01_1042__i99898171306">x</em> or later.</p>
+<div class="section" id="mrs_01_1042__s73bb372376484df185511080d948fc7a"><h4 class="sectiontitle">Log Description</h4><p id="mrs_01_1042__en-us_topic_0046736737_p6820118"><strong id="mrs_01_1042__b121841311135210">Log paths</strong>: The default storage path of Kafka logs is <strong id="mrs_01_1042__b642317467527">/var/log/Bigdata/kafka</strong>. The default storage path of audit logs is <strong id="mrs_01_1042__b1520681125316">/var/log/Bigdata/audit/kafka</strong>.</p>
+<ul id="mrs_01_1042__ul1440120181422"><li id="mrs_01_1042__en-us_topic_0046736733_li14584895">Broker: <strong id="mrs_01_1042__b14367912105315">/var/log/Bigdata/kafka/broker</strong> (run logs)</li></ul>
+<p id="mrs_01_1042__en-us_topic_0046736737_p15558717">Log archive rule: The automatic Kafka log compression function is enabled. By default, when the size of logs exceeds 30 MB, logs are automatically compressed into a log file named in the following format: <em id="mrs_01_1042__i191278482215">&lt;Original log file name&gt;-&lt;yyyy-mm-dd_hh-mm-ss&gt;.[ID].</em><strong id="mrs_01_1042__b93431699223">log.zip</strong>. A maximum of 20 latest compressed files are retained by default. You can configure the number of compressed files and the compression threshold.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1042__en-us_topic_0046736737_table52296527" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Broker log list</caption><thead align="left"><tr id="mrs_01_1042__en-us_topic_0046736737_row16551607"><th align="left" class="cellrowborder" valign="top" width="17%" id="mcps1.3.2.5.2.4.1.1"><p id="mrs_01_1042__en-us_topic_0046736737_p65611825"><strong id="mrs_01_1042__b16660154719404">Type</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="46.989999999999995%" id="mcps1.3.2.5.2.4.1.2"><p id="mrs_01_1042__en-us_topic_0046736737_p49509862"><strong id="mrs_01_1042__b19585437815">Log File Name</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="36.01%" id="mcps1.3.2.5.2.4.1.3"><p id="mrs_01_1042__en-us_topic_0046736737_p55229522">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1042__en-us_topic_0046736737_row64112402"><td class="cellrowborder" rowspan="20" valign="top" width="17%" headers="mcps1.3.2.5.2.4.1.1 "><p id="mrs_01_1042__en-us_topic_0046736737_p25722041">Run log</p>
+</td>
+<td class="cellrowborder" valign="top" width="46.989999999999995%" headers="mcps1.3.2.5.2.4.1.2 "><p id="mrs_01_1042__en-us_topic_0046736737_p3110597">server.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="36.01%" headers="mcps1.3.2.5.2.4.1.3 "><p id="mrs_01_1042__en-us_topic_0046736737_p50631838">Server run log of the broker process</p>
+</td>
+</tr>
+<tr id="mrs_01_1042__en-us_topic_0046736737_row53033363"><td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.1 "><p id="mrs_01_1042__en-us_topic_0046736737_p735113">controller.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.2 "><p id="mrs_01_1042__en-us_topic_0046736737_p59544192">Controller run log of the broker process</p>
+</td>
+</tr>
+<tr id="mrs_01_1042__en-us_topic_0046736737_row66135683"><td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.1 "><p id="mrs_01_1042__en-us_topic_0046736737_p55390110">kafka-request.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.2 "><p id="mrs_01_1042__en-us_topic_0046736737_p57413901">Request run log of the broker process</p>
+</td>
+</tr>
+<tr id="mrs_01_1042__en-us_topic_0046736737_row46963064"><td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.1 "><p id="mrs_01_1042__en-us_topic_0046736737_p45911809">log-cleaner.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.2 "><p id="mrs_01_1042__en-us_topic_0046736737_p27869010">Cleaner run log of the broker process</p>
+</td>
+</tr>
+<tr id="mrs_01_1042__en-us_topic_0046736737_row49494501"><td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.1 "><p id="mrs_01_1042__en-us_topic_0046736737_p49631670">state-change.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.2 "><p id="mrs_01_1042__en-us_topic_0046736737_p60742372">State-change run log of the broker process</p>
+</td>
+</tr>
+<tr id="mrs_01_1042__en-us_topic_0046736737_row9810441"><td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.1 "><p id="mrs_01_1042__en-us_topic_0046736737_p56448269">kafkaServer-&lt;SSH_USER&gt;-&lt;DATE&gt;-&lt;PID&gt;-gc.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.2 "><p id="mrs_01_1042__en-us_topic_0046736737_p8907040">GC log of the broker process</p>
+</td>
+</tr>
+<tr id="mrs_01_1042__en-us_topic_0046736737_row13054504"><td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.1 "><p id="mrs_01_1042__en-us_topic_0046736737_p50781912">postinstall.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.2 "><p id="mrs_01_1042__en-us_topic_0046736737_p19694188">Work log after broker installation</p>
+</td>
+</tr>
+<tr id="mrs_01_1042__en-us_topic_0046736737_row43029967"><td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.1 "><p id="mrs_01_1042__en-us_topic_0046736737_p62875317">prestart.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.2 "><p id="mrs_01_1042__en-us_topic_0046736737_p59735923">Work log before broker startup</p>
+</td>
+</tr>
+<tr id="mrs_01_1042__en-us_topic_0046736737_row752403"><td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.1 "><p id="mrs_01_1042__en-us_topic_0046736737_p60944714">checkService.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.2 "><p id="mrs_01_1042__en-us_topic_0046736737_p37574764">Log that records whether broker starts successfully</p>
+</td>
+</tr>
+<tr id="mrs_01_1042__en-us_topic_0046736737_row58276079"><td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.1 "><p id="mrs_01_1042__en-us_topic_0046736737_p22741972">start.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.2 "><p id="mrs_01_1042__en-us_topic_0046736737_p30160429">Startup log of the broker process</p>
+</td>
+</tr>
+<tr id="mrs_01_1042__en-us_topic_0046736737_row3008409"><td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.1 "><p id="mrs_01_1042__en-us_topic_0046736737_p42354556">stop.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.2 "><p id="mrs_01_1042__en-us_topic_0046736737_p8166983">Stop log of the broker process</p>
+</td>
+</tr>
+<tr id="mrs_01_1042__en-us_topic_0046736737_row6393987"><td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.1 "><p id="mrs_01_1042__en-us_topic_0046736737_p48150975">checkavailable.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.2 "><p id="mrs_01_1042__en-us_topic_0046736737_p7914870">Log that records the health check details of the Kafka service</p>
+</td>
+</tr>
+<tr id="mrs_01_1042__en-us_topic_0046736737_row4124972"><td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.1 "><p id="mrs_01_1042__en-us_topic_0046736737_p65687338">checkInstanceHealth.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.2 "><p id="mrs_01_1042__en-us_topic_0046736737_p19074136">Log that records the health check details of broker instances</p>
+</td>
+</tr>
+<tr id="mrs_01_1042__en-us_topic_0046736737_row37449496"><td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.1 "><p id="mrs_01_1042__en-us_topic_0046736737_p13510354">kafka-authorizer.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.2 "><p id="mrs_01_1042__en-us_topic_0046736737_p20596880">Broker authorization log</p>
+</td>
+</tr>
+<tr id="mrs_01_1042__en-us_topic_0046736737_row51154196"><td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.1 "><p id="mrs_01_1042__en-us_topic_0046736737_p49849236">kafka-root.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.2 "><p id="mrs_01_1042__en-us_topic_0046736737_p11256333">Broker basic log</p>
+</td>
+</tr>
+<tr id="mrs_01_1042__row18777132572911"><td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.1 "><p id="mrs_01_1042__p20577141911301">cleanup.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.2 "><p id="mrs_01_1042__p1857712196300">Cleanup log of broker uninstallation</p>
+</td>
+</tr>
+<tr id="mrs_01_1042__row285363711717"><td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.1 "><p id="mrs_01_1042__p168531379171">metadata-backup-recovery.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.2 "><p id="mrs_01_1042__p385333731714">Broker backup and recovery log</p>
+</td>
+</tr>
+<tr id="mrs_01_1042__row573132121712"><td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.1 "><p id="mrs_01_1042__p17731032181710">ranger-kafka-plugin-enable.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.2 "><p id="mrs_01_1042__p973232151719">Log that records the Ranger plug-ins enabled by brokers</p>
+</td>
+</tr>
+<tr id="mrs_01_1042__row323116276195"><td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.1 "><p id="mrs_01_1042__p72311427161911">server.out</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.2 "><p id="mrs_01_1042__p2231427101914">Broker JVM log</p>
+</td>
+</tr>
+<tr id="mrs_01_1042__row238365917190"><td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.1 "><p id="mrs_01_1042__p12383125914193">audit.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.4.1.2 "><p id="mrs_01_1042__p1838395941910">Authentication log of the Ranger authentication plug-in. This log is archived in the <strong id="mrs_01_1042__b120245132818">/var/log/Bigdata/audit/kafka</strong> directory.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1042__section15851101510517"><h4 class="sectiontitle">Log Level</h4><p id="mrs_01_1042__en-us_topic_0046736737_p39347750"><a href="#mrs_01_1042__tdd8d04c16fc9471c90e233547cf6579c">Table 2</a> describes the log levels supported by Kafka.</p>
+<p id="mrs_01_1042__en-us_topic_0046736737_p33051143">Levels of run logs are ERROR, WARN, INFO, and DEBUG from the highest to the lowest priority. Run logs of equal or higher levels are recorded. The higher the specified log level, the fewer the logs recorded.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1042__tdd8d04c16fc9471c90e233547cf6579c"></a><a name="tdd8d04c16fc9471c90e233547cf6579c"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1042__tdd8d04c16fc9471c90e233547cf6579c" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Log levels</caption><thead align="left"><tr id="mrs_01_1042__en-us_topic_0046736737_row14848227"><th align="left" class="cellrowborder" valign="top" width="26%" id="mcps1.3.3.4.2.3.1.1"><p id="mrs_01_1042__en-us_topic_0046736737_p61855762">Level</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="74%" id="mcps1.3.3.4.2.3.1.2"><p id="mrs_01_1042__en-us_topic_0046736737_p62803074">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1042__en-us_topic_0046736737_row15195961"><td class="cellrowborder" valign="top" width="26%" headers="mcps1.3.3.4.2.3.1.1 "><p id="mrs_01_1042__en-us_topic_0046736737_p22913322">ERROR</p>
+</td>
+<td class="cellrowborder" valign="top" width="74%" headers="mcps1.3.3.4.2.3.1.2 "><p id="mrs_01_1042__en-us_topic_0046736737_p44039759">Logs of this level record error information about system running.</p>
+</td>
+</tr>
+<tr id="mrs_01_1042__en-us_topic_0046736737_row60813512"><td class="cellrowborder" valign="top" width="26%" headers="mcps1.3.3.4.2.3.1.1 "><p id="mrs_01_1042__en-us_topic_0046736737_p26947479">WARN</p>
+</td>
+<td class="cellrowborder" valign="top" width="74%" headers="mcps1.3.3.4.2.3.1.2 "><p id="mrs_01_1042__en-us_topic_0046736737_p35262223">Logs of this level record exception information about the current event processing.</p>
+</td>
+</tr>
+<tr id="mrs_01_1042__en-us_topic_0046736737_row48924553"><td class="cellrowborder" valign="top" width="26%" headers="mcps1.3.3.4.2.3.1.1 "><p id="mrs_01_1042__en-us_topic_0046736737_p3465872">INFO</p>
+</td>
+<td class="cellrowborder" valign="top" width="74%" headers="mcps1.3.3.4.2.3.1.2 "><p id="mrs_01_1042__en-us_topic_0046736737_p12300244">Logs of this level record normal running status information about the system and events.</p>
+</td>
+</tr>
+<tr id="mrs_01_1042__en-us_topic_0046736737_row43593336"><td class="cellrowborder" valign="top" width="26%" headers="mcps1.3.3.4.2.3.1.1 "><p id="mrs_01_1042__en-us_topic_0046736737_p41399329">DEBUG</p>
+</td>
+<td class="cellrowborder" valign="top" width="74%" headers="mcps1.3.3.4.2.3.1.2 "><p id="mrs_01_1042__en-us_topic_0046736737_p65011387">Logs of this level record the system information and system debugging information.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1042__en-us_topic_0046736733_p66684983">To modify log levels, perform the following operations:</p>
+<ol id="mrs_01_1042__ol2049469418545"><li id="mrs_01_1042__li4027424618545"><span>Go to the <strong id="mrs_01_1042__b823918328306">All Configurations</strong> page. See <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</span></li><li id="mrs_01_1042__li2692390118545"><span>On the menu bar on the left, select the log menu of the target role.</span></li><li id="mrs_01_1042__li4098852518545"><span>Select a desired log level.</span></li><li id="mrs_01_1042__li1719026918545"><span>Save the configuration. In the displayed dialog box, click <strong id="mrs_01_1042__b1409141113113">OK</strong> to make the configurations take effect.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_1042__s446bdd97d41648fea2d9c065f6fbcf8d"><h4 class="sectiontitle">Log Format</h4><p id="mrs_01_1042__en-us_topic_0046736737_p35426764">The following table describes the Kafka log format.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1042__en-us_topic_0046736737_table50405427" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Log formats</caption><thead align="left"><tr id="mrs_01_1042__en-us_topic_0046736737_row11082291"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.4.3.2.4.1.1"><p id="mrs_01_1042__en-us_topic_0046736737_p25250378"><strong id="mrs_01_1042__b109647559402">Type</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.4.3.2.4.1.2"><p id="mrs_01_1042__en-us_topic_0046736737_p19697112">Format</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.4.3.2.4.1.3"><p id="mrs_01_1042__en-us_topic_0046736737_p65006754">Example</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1042__en-us_topic_0046736737_row11065763"><td class="cellrowborder" rowspan="2" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.2.4.1.1 "><p id="mrs_01_1042__en-us_topic_0046736737_p23911583">Run log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.2.4.1.2 "><p id="mrs_01_1042__en-us_topic_0046736737_p57790096">&lt;yyyy-MM-dd HH:mm:ss,SSS&gt;|&lt;Log Level&gt;|&lt;Thread that generates the log&gt;|&lt;Message in the log&gt;|&lt;Full name of the log event invocation class&gt;(&lt;Log file&gt;:&lt;Row&gt;)</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.2.4.1.3 "><p id="mrs_01_1042__en-us_topic_0046736737_p50486238">2015-08-08 11:09:53,483 | INFO | [main] | Loading logs. |  kafka.log.LogManager (Logging.scala:68)</p>
+</td>
+</tr>
+<tr id="mrs_01_1042__en-us_topic_0046736737_row51722963"><td class="cellrowborder" valign="top" headers="mcps1.3.4.3.2.4.1.1 "><p id="mrs_01_1042__en-us_topic_0046736737_p28810487">&lt;yyyy-MM-dd HH:mm:ss&gt;&lt;HostName&gt;&lt;Component name&gt;&lt;logLevel&gt;&lt;Message&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.4.3.2.4.1.2 "><p id="mrs_01_1042__en-us_topic_0046736737_p51948074">2015-08-08 11:09:51 10-165-0-83 Kafka INFO Running kafka-start.sh.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0375.html">Using Kafka</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1043.html b/docs/mrs/component-operation-guide/mrs_01_1043.html
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+<a name="mrs_01_1043"></a><a name="mrs_01_1043"></a>
+
+<h1 class="topictitle1">Performance Tuning</h1>
+<div id="body1590133087327"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1044.html">Kafka Performance Tuning</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0375.html">Using Kafka</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1044.html b/docs/mrs/component-operation-guide/mrs_01_1044.html
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+<a name="mrs_01_1044"></a><a name="mrs_01_1044"></a>
+
+<h1 class="topictitle1">Kafka Performance Tuning</h1>
+<div id="body1590133087329"><div class="section" id="mrs_01_1044__sbc0f3e2916424866b33762c441d269c4"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1044__aebfacc51e7484b7891f16e57c5efd7dc">You can modify Kafka server parameters to improve Kafka processing capabilities in specific service scenarios.</p>
+</div>
+<div class="section" id="mrs_01_1044__s6ebbf105cc7a4a03b02781c6a5cd5317"><h4 class="sectiontitle">Parameter Tuning</h4><p id="mrs_01_1044__p1387717455414">Modify the service configuration parameters. For details, see <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>. For details about the tuning parameters, see <a href="#mrs_01_1044__td2ff03d5b464413597bebde9472f162f">Table 1</a>.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1044__td2ff03d5b464413597bebde9472f162f"></a><a name="td2ff03d5b464413597bebde9472f162f"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1044__td2ff03d5b464413597bebde9472f162f" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Tuning parameters</caption><thead align="left"><tr id="mrs_01_1044__r2c97688692e140b5a47552613530a953"><th align="left" class="cellrowborder" valign="top" width="35.099999999999994%" id="mcps1.3.2.3.2.4.1.1"><p id="mrs_01_1044__aa4e1e2bab64e4ef793363baa06cf2085">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20.36%" id="mcps1.3.2.3.2.4.1.2"><p id="mrs_01_1044__a8b25df13cba244ec8b8dd5820feffc48">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="44.54%" id="mcps1.3.2.3.2.4.1.3"><p id="mrs_01_1044__acbe1f1344f61482d86f35f93c413992d">Scenario</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1044__r1b5056e4eb3f4013b8392013d3ac7416"><td class="cellrowborder" valign="top" width="35.099999999999994%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1044__a7a1466aaa38f4e4d8de53c1efa82a04b">num.recovery.threads.per.data.dir</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.36%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1044__en-us_topic_0116526961_p189280094820">10</p>
+</td>
+<td class="cellrowborder" valign="top" width="44.54%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1044__af00cf560371649bd97285df5be4f776c">During the Kafka startup process, if a large volume of data exists, you can increase the value of this parameter to accelerate the startup.</p>
+</td>
+</tr>
+<tr id="mrs_01_1044__r511aaf1d58bc4c309cf3297d7f4133dd"><td class="cellrowborder" valign="top" width="35.099999999999994%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1044__ace7d9a06d3d74a1cbdec5e2703ae9d72">background.threads</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.36%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1044__a2070c95dbd76413e92514e82997ef104">10</p>
+</td>
+<td class="cellrowborder" valign="top" width="44.54%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1044__a650b6172a3484bb6b6c0d8b1d3de43a1">Specifies the number of threads processed by a broker background task. If a large volume of data exists, you can increase the value of this parameter to improve broker processing capabilities.</p>
+</td>
+</tr>
+<tr id="mrs_01_1044__re96249f5ee8b4ecea3e93993201bf9af"><td class="cellrowborder" valign="top" width="35.099999999999994%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1044__a8bdd549812bd4cb78fd2e7606fc736c1">num.replica.fetchers</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.36%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1044__en-us_topic_0116526961_p490816394820">1</p>
+</td>
+<td class="cellrowborder" valign="top" width="44.54%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1044__a4660391059b74e7aba6849b18a62b897">Specifies the number of threads used when a replica requests to the Leader for data synchronization. If the value of this parameter is increased, the replica I/O concurrency increases.</p>
+</td>
+</tr>
+<tr id="mrs_01_1044__r2724cc2680e14eb4a7fdb225239e1357"><td class="cellrowborder" valign="top" width="35.099999999999994%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1044__a82efb0ac10b24c3bbe0af43a2a4f7834">num.io.threads</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.36%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1044__a7460348321dc40b29507f3296fbd474e">8</p>
+</td>
+<td class="cellrowborder" valign="top" width="44.54%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1044__a030825cab57743ccb71a4ca1c63e9107">Specifies the number of threads used by the broker to process disk I/O. It is recommended that the number of threads be greater than or equal to the number of disks.</p>
+</td>
+</tr>
+<tr id="mrs_01_1044__ra8a612e7aa734ab9ac54c8e638059f8c"><td class="cellrowborder" valign="top" width="35.099999999999994%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1044__a364e006fee954296ab43ec7183749f9b">KAFKA_HEAP_OPTS</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.36%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1044__p120124695917">-Xmx6G -Xms6G</p>
+</td>
+<td class="cellrowborder" valign="top" width="44.54%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1044__a0ea96a84713c46068d38d497db0dd149">Specifies the Kafka JVM heap memory setting. If the data volume on the broker is large, adjust the heap memory size.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1043.html">Performance Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1045.html b/docs/mrs/component-operation-guide/mrs_01_1045.html
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+<a name="mrs_01_1045"></a><a name="mrs_01_1045"></a>
+
+<h1 class="topictitle1">Using Storm from Scratch</h1>
+<div id="body1590118474320"><p id="mrs_01_1045__p8060118">You can submit and delete Storm topologies on the MRS cluster client.</p>
+<div class="section" id="mrs_01_1045__section860833124711"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_1045__p522317360472">The MRS cluster client has been installed, for example, in the <strong id="mrs_01_1045__b13704731314">/opt/hadoopclient</strong> directory. The client directory in the following operations is only an example. Change it based on the actual installation directory onsite.</p>
+</div>
+<div class="section" id="mrs_01_1045__section754916241562"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1045__o1a1694aafb174694a4a0e67712a47f76"><li id="mrs_01_1045__l6bafa992ef354ebc8c1e16387160ae24"><span>Prepare the client based on service requirements. Log in to the node where the client is installed.</span></li><li id="mrs_01_1045__ldc59b65d35af40029b69d717590c5ee1"><span>Run the following command to switch to the client directory, for example, <strong id="mrs_01_1045__b1231201919312">/opt/hadoopclient</strong>:</span><p><p id="mrs_01_1045__a5c7abf7d609e49daa21d689801c7665d"><strong id="mrs_01_1045__en-us_topic_0057061151_b539462609946">cd /opt/hadoopclient</strong></p>
+</p></li><li id="mrs_01_1045__lb12ce87c6e7946bb9a848a19a34c9e35"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_1045__af0f6bc7c36064c379eed07a5509d2ba2"><strong id="mrs_01_1045__a867f14eb42d44d819707ead5ac2ca425">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_1045__lb19afed2bbbf4a3d81e9242146b0ec02"><span>For clusters with Kerberos authentication enabled, run the following command to authenticate the user. For clusters with Kerberos authentication disabled, skip this step.</span><p><p id="mrs_01_1045__ae2143305619c412a820dbefd67e607b3"><strong id="mrs_01_1045__b13535253102416">kinit</strong> <em id="mrs_01_1045__i1540195310244">Storm user</em></p>
+</p></li><li id="mrs_01_1045__li173182463219"><span>Run the following command to submit the Storm topology:</span><p><p id="mrs_01_1045__p19733132411320"><strong id="mrs_01_1045__b2336314182610">storm jar</strong> <em id="mrs_01_1045__i87366245328">Path of the topology package Class name of the topology Main method Topology name</em></p>
+<p id="mrs_01_1045__p167476249328">If the following information is displayed, the topology is submitted successfully.</p>
+<pre class="screen" id="mrs_01_1045__screen174816248323">Finished submitting topology: topo1</pre>
+</p></li><li id="mrs_01_1045__lbe3cdaf67f5b4cf18419fbbdeb422302"><span>Run the following command to query Storm topologies. For clusters with Kerberos authentication enabled, only users in the <span class="parmname" id="mrs_01_1045__parmname165721689144120"><b>stormadmin</b></span> or <span class="parmname" id="mrs_01_1045__parmname2066340759144120"><b>storm</b></span> group can query all topologies.</span><p><p id="mrs_01_1045__adbde1f1e20f7494abb88a485fead6155"><strong id="mrs_01_1045__a7bd189f7b6ae4336b6718bc54889aecb">storm list</strong></p>
+</p></li><li id="mrs_01_1045__li2848168145910"><span>Run the following command to delete a Storm topology.</span><p><p id="mrs_01_1045__p66556053163133"><strong id="mrs_01_1045__b1382173612264">storm kill </strong><em id="mrs_01_1045__i1883173642611">Topology name</em></p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0380.html">Using Storm</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1046.html b/docs/mrs/component-operation-guide/mrs_01_1046.html
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index 000000000..79f71a3ed
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+<a name="mrs_01_1046"></a><a name="mrs_01_1046"></a>
+
+<h1 class="topictitle1">Storm Common Parameters</h1>
+<div id="body1590370636997"><p id="mrs_01_1046__p2968194121614">This section applies to MRS 3.<em id="mrs_01_1046__i2816639929162">x</em> or later.</p>
+<div class="section" id="mrs_01_1046__section12292181154016"><h4 class="sectiontitle">Navigation Path</h4><p id="mrs_01_1046__p11526143493219">For details about how to set parameters, see <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+</div>
+<div class="section" id="mrs_01_1046__sf8292c45eb124a59aa7f9370620b384d"><h4 class="sectiontitle">Parameter Description</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1046__t5617fa4052da4cfab11af96d21684fc1" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1046__ra6738246debd49aa86c4fd7e12f1e1da"><th align="left" class="cellrowborder" valign="top" width="22%" id="mcps1.3.3.2.2.4.1.1"><p id="mrs_01_1046__a4bdcbdec6728444fabb5dc5516c238b9">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="45%" id="mcps1.3.3.2.2.4.1.2"><p id="mrs_01_1046__a3f8e6bc697464634a5d8daa043d14bd1">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33%" id="mcps1.3.3.2.2.4.1.3"><p id="mrs_01_1046__a3702911401da4aba808c875ad396958f">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1046__rdb1c571c9ad54389b80fd781a4595cc8"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.3.2.2.4.1.1 "><p id="mrs_01_1046__ac16d65ae8e4547f9bf44a9e6a0905375">supervisor.slots.ports</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.3.2.2.4.1.2 "><p id="mrs_01_1046__a975c408050c04f94a4829533b29c3ac6">Specifies the list of ports that can run workers on the supervisor. Each worker occupies a port, and each port runs only one worker. This parameter is used to set the number of workers that can run on each server. Ports range from 1024 to 65535, and ports are separated by commas (,).</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.4.1.3 "><p id="mrs_01_1046__p189308545414">6700,6701,6702,6703</p>
+</td>
+</tr>
+<tr id="mrs_01_1046__r878b3b4123bc43c58605e0d37e8c2ce5"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.3.2.2.4.1.1 "><p id="mrs_01_1046__a248cbd08bebe452f9fdb54d75a2c5391">WORKER_GC_OPTS</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.3.2.2.4.1.2 "><p id="mrs_01_1046__a12d0664804bd4517a7b6952c681c8f28">Specifies the JVM option used for supervisor to start worker. It is recommended that you set this parameter based on memory usage of a service. For simple service processing, the recommended value is <strong id="mrs_01_1046__b14222105353519">-Xmx1G</strong>. If window cache is used, the value of this parameter is calculated based on the following formula: Size of each record x Period x 2</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.4.1.3 "><p id="mrs_01_1046__aa2f38f2a923a46f9bb5f6ee188d185a9">-Xms1G -Xmx1G -XX:+UseG1GC -XX:+PrintGCDetails -Xloggc:artifacts/gc.log -XX:+PrintGCDateStamps -XX:+PrintGCTimeStamps -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=10 -XX:GCLogFileSize=1M -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=artifacts/heapdump</p>
+</td>
+</tr>
+<tr id="mrs_01_1046__rdcc7ab3d8a764344b862e08bf7cd652f"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.3.2.2.4.1.1 "><p id="mrs_01_1046__a49db079597c04b5e85ad4629f9e7ea9f">default.schedule.mode</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.3.2.2.4.1.2 "><p id="mrs_01_1046__ab74ae06304bd4a20866562b945bed4a9">Specifies the default scheduling mode of the scheduler. Options are as follows:</p>
+<ul id="mrs_01_1046__ud611a9cabaa94ed2a80f8aa4b3134352"><li id="mrs_01_1046__l466ff487b8e9438e83841fdc705034ff"><strong id="mrs_01_1046__b1261792673812">AVERAGE</strong>: indicates that the scheduling mechanism that uses the number of idle slots as the priority is used.</li><li id="mrs_01_1046__ld58dc23a27084568beae3fc1d908e58a"><strong id="mrs_01_1046__b3815148391">RATE</strong>: indicates that the scheduling mechanism that uses the rate of idle slots as the priority is used.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.4.1.3 "><p id="mrs_01_1046__aad309f3136de4a6db4e3c6de5e5bd89d">AVERAGE</p>
+</td>
+</tr>
+<tr id="mrs_01_1046__r8323d8cb20524b2e9d63d3d0def33a25"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.3.2.2.4.1.1 "><p id="mrs_01_1046__ad3b5d6cb467447d6ac4659c992366380">nimbus.thrift.threads</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.3.2.2.4.1.2 "><p id="mrs_01_1046__a6d511d7d7e5d4fc0a7898cb9a8c6d8bd">Set the maximum number of connection threads when the active Nimbus externally provides services. If the Storm cluster is large and the number of Supervisor instances is large, increase connection threads.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.4.1.3 "><p id="mrs_01_1046__a4ac34c81da544ba4ac3422db7ca0b5ea">512</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0380.html">Using Storm</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1047.html b/docs/mrs/component-operation-guide/mrs_01_1047.html
new file mode 100644
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+<a name="mrs_01_1047"></a><a name="mrs_01_1047"></a>
+
+<h1 class="topictitle1">Configuring a Storm Service User Password Policy</h1>
+<div id="body1590370637036"><div class="section" id="mrs_01_1047__s5ac411fb264544bfb87f63db3895ef1b"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1047__p545492183920">This section applies to MRS 3.<em id="mrs_01_1047__i274793765016">x</em> or later.</p>
+<p id="mrs_01_1047__acf2d7cd623794587bdb32bc24e21a677">After submitting a topology task, a Storm service user must ensure that the task continuously runs. During topology running, the worker process may need to restart to ensure continuous topology work. If the password of a service user is changed or the number of days that a password is used exceeds the maximum number specified in a password policy, topology running may be affected. A system administrator must configure a separate password policy for Storm service users based on enterprise security requirements.</p>
+<div class="note" id="mrs_01_1047__n02e1f01833dc4c5db796efd35c291ea6"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_1047__a6547888d445c4086921c154edab6ebc3">If a separate password policy is not configured for Storm service users, an old topology can be deleted and then submitted again after a service user password is changed so that the topology can continuous run.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1047__s725ab2ff6281428ba65ceb8a99b32d79"><h4 class="sectiontitle">Impact on the System</h4><ul id="mrs_01_1047__u24eede23aaa84a53972ccacbe8b146c5"><li id="mrs_01_1047__la67b1037d7a348ea828c8326d10894eb">After a separate password policy is configured for a Storm service user, the user is not affected by <strong id="mrs_01_1047__b16954171382612">Password Policy</strong> on the Manager page.</li><li id="mrs_01_1047__l857d90454624410fbdd8c3c54f568dd7">If a separate password policy is configured for a Storm service user and cross-cluster entrusted relationships are configured, a password must be reset for the Storm service user on Manager based on the password policy.</li></ul>
+</div>
+<div class="section" id="mrs_01_1047__s677d4943025044f2b0675396c0f19012"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_1047__a7b153b8ec25d46c9bbe59b358b7df108">A system administrator has understood service requirements and created a <strong id="mrs_01_1047__b8071010549">Human-Machine</strong> user, for example, <strong id="mrs_01_1047__b1165113147544">testpol</strong>.</p>
+</div>
+<div class="section" id="mrs_01_1047__s47daa6293b5a43539c965bcd4cce9b03"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1047__o11491cb0cd1f4482a55e3a6c39439a4b"><li id="mrs_01_1047__l9c293f9a4f1e4ce6997ff90ac1602958"><span>Log in to any node in the cluster as user <strong id="mrs_01_1047__b58401441205420">omm</strong>.</span></li><li id="mrs_01_1047__l13c3dc83dd7f4a0aa69756f6c21e08b3"><span>Run the following command to disable logout upon timeout:</span><p><p id="mrs_01_1047__af9bcf5d3d3ab46dc896835aac6af6eb3"><strong id="mrs_01_1047__a0143d2572721413f9bd18993f87f23a7">TMOUT=0</strong></p>
+<div class="note" id="mrs_01_1047__note12497171716409"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1047__p1614684417440">After the operations in this section are complete, run the <strong id="mrs_01_1047__b13988193413428">TMOUT=</strong><em id="mrs_01_1047__i898813410424">Timeout interval</em> command to restore the timeout interval in a timely manner. For example, <strong id="mrs_01_1047__b57841838124210">TMOUT=600</strong> indicates that a user is logged out if the user does not perform any operation within 600 seconds.</p>
+</div></div>
+</p></li><li id="mrs_01_1047__li49336222165658"><span>Run the following commands to export the environment variables:</span><p><p id="mrs_01_1047__p35055948165741"><strong id="mrs_01_1047__b20545211184932">EXECUTABLE_HOME="${CONTROLLER_HOME}/kerberos_user_specific_binay/kerberos"</strong></p>
+<p id="mrs_01_1047__p20959544165741"><strong id="mrs_01_1047__b53549391184932">LD_LIBRARY_PATH=${EXECUTABLE_HOME}/lib:$LD_LIBRARY_PATH</strong></p>
+<p id="mrs_01_1047__p20001500165741"><strong id="mrs_01_1047__b42533444184932">PATH=${EXECUTABLE_HOME}/bin:$PATH</strong></p>
+</p></li><li id="mrs_01_1047__l1f5ab087617748c9adcf910134e5c096"><span>Run the following command and enter the Kerberos administrator password to log in to the Kerberos console:</span><p><p id="mrs_01_1047__a1e1f0328561442838ca4960119375651"><strong id="mrs_01_1047__ad63cc07758d6442e9d9ff2951bd01fb3">kadmin -p kadmin/admin</strong></p>
+<div class="note" id="mrs_01_1047__nb6efb05e81db4ca3a2dfb62d7790bbfd"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_1047__acbd5665414f54757a07470ad7313a73c">For initial use, the <strong id="mrs_01_1047__b83831836205719">kadmin/admin</strong> password must be changed for the <strong id="mrs_01_1047__b366264185711">kadmin/admin</strong> user.</p>
+</div></div>
+<p id="mrs_01_1047__a8439ca511b73441487e3873628b844d0">If the following information is displayed, you have successfully logged in to the Kerberos console.</p>
+<pre class="screen" id="mrs_01_1047__s2d44e9f6777740488ead793f6e90ec20">kadmin:</pre>
+</p></li><li id="mrs_01_1047__l80a3bf3a676446198a5b19d584d430d5"><span>Run the following command to check details about the created <strong id="mrs_01_1047__b312016216134">Human-Machine</strong> user:</span><p><p id="mrs_01_1047__aa6a3131abb604827b5b56bd889089ffa"><strong id="mrs_01_1047__b1049155418126">getprinc</strong><em id="mrs_01_1047__i15492195411125">Username</em></p>
+<p id="mrs_01_1047__af406442f64a14ffaacee99e206b143ab">Sample command for viewing details about the <strong id="mrs_01_1047__b20483145311173">testpol</strong> user:</p>
+<p id="mrs_01_1047__a4262f67c45be49b5abe25eb4978c1714"><strong id="mrs_01_1047__ab41a42711f734d68aa0354f37553338f">getprinc testpol</strong></p>
+<p id="mrs_01_1047__aa0f65df51cfd4e5daa7231bf3e2e60e4">If the following information is displayed, the specified user has used the default password policy:</p>
+<pre class="screen" id="mrs_01_1047__sd8f9284b3f7242878eb28575a6900f16">Principal: testpol@<em id="mrs_01_1047__i285003320117">&lt;System domain name&gt;</em>
+......
+Policy: default</pre>
+</p></li><li id="mrs_01_1047__ld1316e03f1b64624a245cc98837c074c"><span>Run the following command to create a separate password policy, such as <strong id="mrs_01_1047__b20930116112018">streampol</strong>, for the Storm service user:</span><p><p id="mrs_01_1047__ab036ac5c6fb3482abc8d35c21abb1783"><strong id="mrs_01_1047__afd87f7a831b346b0bf299f073d8b7124">addpol -maxlife 0day -minlife 0sec -history 1 -maxfailure 5 -failurecountinterval 5min -lockoutduration 5min -minlength 8 -minclasses 4 streampol</strong></p>
+<p id="mrs_01_1047__aabe9543abc0e479cb1c4c1105aa7dfbd">In the command, <strong id="mrs_01_1047__b1219724052110">-maxlife</strong> indicates the maximum validity period of a password, and <strong id="mrs_01_1047__b431153513220">0day</strong> indicates that a password will never expire.</p>
+</p></li><li id="mrs_01_1047__la89c73dd12d041e7a4bc2849e7f2151a"><span>Run the following command to view the newly created policy <strong id="mrs_01_1047__b12893518237">streampol</strong>:</span><p><p id="mrs_01_1047__ab321b825720d4e79be2a65380e7da4d1"><strong id="mrs_01_1047__a30642dc6076745349616e5ee39d303a4">getpol streampol</strong></p>
+<p id="mrs_01_1047__a5f076e66e6e84375b92a830d8f960443">If the following information is displayed, the new policy specifies that the password will never expire:</p>
+<pre class="screen" id="mrs_01_1047__se1f4a27dd32c496086fb06f67d882426">Policy: streampol 
+ Maximum password life: 0 days 00:00:00 
+......</pre>
+</p></li><li id="mrs_01_1047__l2e1c9bc684c14b8387e60894d0277324"><span>Run the following command to apply the new policy <strong id="mrs_01_1047__b15175144411233">streampol</strong> to the <strong id="mrs_01_1047__b026512062410">testpol</strong> Storm user:</span><p><p id="mrs_01_1047__a6921a7402fc543b383bfc3f8b129e964"><strong id="mrs_01_1047__a7e79a9697835463ab9da9882937ec627">modprinc -policy streampol testpol</strong></p>
+<p id="mrs_01_1047__ab3f47d92fa46487aa30b854b03064398">In the command, <strong id="mrs_01_1047__b1678311711246">streampol</strong> indicates a policy name, and <strong id="mrs_01_1047__b4650727172415">testpol</strong> indicates a username.</p>
+<p id="mrs_01_1047__aaa6267f02c17409486e4b3d412c3a9d5">If the following information is displayed, the properties of the specified user have been modified:</p>
+<pre class="screen" id="mrs_01_1047__s32feda9fa99c44649992fdb92f90dcb9">Principal "testpol@<em id="mrs_01_1047__i106994551317">&lt;System domain name&gt;</em>" modified.</pre>
+</p></li><li id="mrs_01_1047__l1bc7dd5e7eb14ee18102e4fd8091ec6f"><span>Run the following command to view current information about the <strong id="mrs_01_1047__b1553393916254">testpol</strong> Storm user:</span><p><p id="mrs_01_1047__abd966599bbce4a87bef3174bc991cab1"><strong id="mrs_01_1047__a13bbb2cc8938483fb404eee1cc202079">getprinc testpol</strong></p>
+<p id="mrs_01_1047__a05ebf2b87afc41df8d3e0e0b49232797">If the following information is displayed, the specified user has used the new password policy:</p>
+<pre class="screen" id="mrs_01_1047__se98fd662c03c4581b5d224d73e87e7b5">Principal: testpol@<em id="mrs_01_1047__i52911011152618">&lt;System domain name&gt;</em>
+......
+ Policy: streampol</pre>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0380.html">Using Storm</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1048.html b/docs/mrs/component-operation-guide/mrs_01_1048.html
new file mode 100644
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@@ -0,0 +1,21 @@
+<a name="mrs_01_1048"></a><a name="mrs_01_1048"></a>
+
+<h1 class="topictitle1">Migrating Storm Services to Flink</h1>
+<div id="body1590370637067"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1049.html">Overview</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1050.html">Completely Migrating Storm Services</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1051.html">Performing Embedded Service Migration</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1052.html">Migrating Services of External Security Components Interconnected with Storm</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0380.html">Using Storm</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1049.html b/docs/mrs/component-operation-guide/mrs_01_1049.html
new file mode 100644
index 000000000..3d858a51e
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+++ b/docs/mrs/component-operation-guide/mrs_01_1049.html
@@ -0,0 +1,15 @@
+<a name="mrs_01_1049"></a><a name="mrs_01_1049"></a>
+
+<h1 class="topictitle1">Overview</h1>
+<div id="body1590370637068"><p id="mrs_01_1049__p545492183920">This section applies to MRS 3.<em id="mrs_01_1049__i169144446391737">x</em> or later.</p>
+<p id="mrs_01_1049__p10924361402">From 0.10.0, Flink provides a set of APIs to smoothly migrate services compiled using Storm APIs to the Flink platform. This can be used in most of the service scenarios.</p>
+<p id="mrs_01_1049__p173776154117">Flink supports the following service migration modes:</p>
+<ol id="mrs_01_1049__ol112716591214"><li id="mrs_01_1049__li912705914217">Complete migration of Storm services: Convert and run a complete Storm topology developed by Storm APIs.</li><li id="mrs_01_1049__li157281535223">Embedded migration of Storm services: Storm code is embedded in DataStream of Flink, for example, Spout/Bolt compiled using Storm APIs.</li></ol>
+<p id="mrs_01_1049__p1284642695617">Flink provides the flink-storm package for the preceding service migration.</p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1048.html">Migrating Storm Services to Flink</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1050.html b/docs/mrs/component-operation-guide/mrs_01_1050.html
new file mode 100644
index 000000000..daaf2e994
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+++ b/docs/mrs/component-operation-guide/mrs_01_1050.html
@@ -0,0 +1,76 @@
+<a name="mrs_01_1050"></a><a name="mrs_01_1050"></a>
+
+<h1 class="topictitle1">Completely Migrating Storm Services</h1>
+<div id="body1590370637069"><div class="section" id="mrs_01_1050__section98244312213"><h4 class="sectiontitle">Scenarios</h4><p id="mrs_01_1050__p29121231220">This section describes how to convert and run a complete Storm topology developed using Storm API.</p>
+</div>
+<div class="section" id="mrs_01_1050__section158251435222"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1050__ol24171024182316"><li id="mrs_01_1050__li94171724102314"><span>Open the Storm service project, modify the POM file of the project, and add the reference of <strong id="mrs_01_1050__b541682492313">flink-storm_2.11</strong>, <strong id="mrs_01_1050__b4416102482316">flink-core</strong>, and <strong id="mrs_01_1050__b1541642414235">flink-streaming-java_2.11</strong>. The following figure shows an example.</span><p><p id="mrs_01_1050__p1416124142310"></p>
+<pre class="screen" id="mrs_01_1050__screen16131132253017">&lt;dependency&gt;
+    &lt;groupId&gt;org.apache.flink&lt;/groupId&gt;
+    &lt;artifactId&gt;flink-storm_2.11&lt;/artifactId&gt;
+    &lt;version&gt;1.4.0&lt;/version&gt;
+    &lt;exclusions&gt;
+        &lt;exclusion&gt;
+            &lt;groupId&gt;*&lt;/groupId&gt;
+            &lt;artifactId&gt;*&lt;/artifactId&gt;
+        &lt;/exclusion&gt;
+    &lt;/exclusions&gt;
+&lt;/dependency&gt;</pre>
+<pre class="screen" id="mrs_01_1050__screen421432282910">&lt;dependency&gt;
+    &lt;groupId&gt;org.apache.flink&lt;/groupId&gt;
+    &lt;artifactId&gt;flink-core&lt;/artifactId&gt;
+    &lt;version&gt;1.4.0&lt;/version&gt;
+    &lt;exclusions&gt;
+        &lt;exclusion&gt;
+            &lt;groupId&gt;*&lt;/groupId&gt;
+            &lt;artifactId&gt;*&lt;/artifactId&gt;
+        &lt;/exclusion&gt;
+    &lt;/exclusions&gt;
+&lt;/dependency&gt;</pre>
+<div class="p" id="mrs_01_1050__p13142646192910"><pre class="screen" id="mrs_01_1050__screen957715183261">&lt;dependency&gt;
+    &lt;groupId&gt;org.apache.flink&lt;/groupId&gt;
+    &lt;artifactId&gt;flink-streaming-java_2.11&lt;/artifactId&gt;
+    &lt;version&gt;1.4.0&lt;/version&gt;
+    &lt;exclusions&gt;
+        &lt;exclusion&gt;
+            &lt;groupId&gt;*&lt;/groupId&gt;
+            &lt;artifactId&gt;*&lt;/artifactId&gt;
+        &lt;/exclusion&gt;
+    &lt;/exclusions&gt;
+&lt;/dependency&gt;</pre>
+</div>
+<div class="note" id="mrs_01_1050__note16417924152311"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1050__p5417142492318">If the project is not a non-Maven project, manually collect the preceding JAR packages and add them to the <em id="mrs_01_1050__i54175240234">classpath</em> environment variable of the project.</p>
+</div></div>
+</p></li></ol><ol start="2" id="mrs_01_1050__ol84155246231"><li id="mrs_01_1050__li34151524152314"><span>Modify the code for submission of the topology. The following uses WordCount as an example:</span><p><ol type="a" id="mrs_01_1050__ol14644141392611"><li id="mrs_01_1050__li96441813192615">Keep the structure of the Storm topology unchanged, including the Spout and Bolt developed using Storm API.</li></ol>
+<pre class="screen" id="mrs_01_1050__screen19414202462310">TopologyBuilder builder = new TopologyBuilder(); 
+builder.setSpout("spout", new RandomSentenceSpout(), 5); 
+builder.setBolt("split", new SplitSentenceBolt(), 8).shuffleGrouping("spout"); 
+builder.setBolt("count", new WordCountBolt(), 12).fieldsGrouping("split", new Fields("word"));</pre>
+<ol type="a" start="2" id="mrs_01_1050__ol464441362614"><li id="mrs_01_1050__li36442013122619">Modify the code for submission of the topology. An example is described as follows:</li></ol>
+<pre class="screen" id="mrs_01_1050__screen241412472310">Config conf = new Config(); 
+conf.setNumWorkers(3);  
+StormSubmitter.submitTopology("word-count", conf, builder.createTopology());</pre>
+<p id="mrs_01_1050__p84141724182316">Perform the following operations:</p>
+<pre class="screen" id="mrs_01_1050__screen641512415238">Config conf = new Config();
+ conf.setNumWorkers(3);
+ //converts Storm Config to StormConfig of Flink.
+ StormConfig stormConfig = new StormConfig(conf);
+ //Construct FlinkTopology using TopologBuilder of Storm.
+ FlinkTopology topology = FlinkTopology.createTopology(builder);
+ //Obtain the Stream execution environment.
+ StreamExecutionEnvironment env = topology.getExecutionEnvironment();
+ //Set StormConfig to the environment variable of Job to construct Bolt and Spout.
+ //If StormConfig is not required during the initialization of Bolt and Spout, you do not need to set this parameter.
+ env.getConfig().setGlobalJobParameters(stormConfig);
+ //Submit the topology.
+ topology.execute();</pre>
+<ol type="a" start="3" id="mrs_01_1050__ol559131702617"><li id="mrs_01_1050__li10591417202617">After the package is repacked, run the following command to submit the package:<p id="mrs_01_1050__p1541592415235"><a name="mrs_01_1050__li10591417202617"></a><a name="li10591417202617"></a><strong id="mrs_01_1050__b17415172422318">flink run -class {MainClass} WordCount.jar</strong></p>
+</li></ol>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1048.html">Migrating Storm Services to Flink</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1051.html b/docs/mrs/component-operation-guide/mrs_01_1051.html
new file mode 100644
index 000000000..7b3fc1b99
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1051.html
@@ -0,0 +1,29 @@
+<a name="mrs_01_1051"></a><a name="mrs_01_1051"></a>
+
+<h1 class="topictitle1">Performing Embedded Service Migration</h1>
+<div id="body1590370637070"><div class="section" id="mrs_01_1051__section159162041122612"><h4 class="sectiontitle">Scenarios</h4><p id="mrs_01_1051__p154642112610">This section describes how to embed Storm code in DataStream of Flink in embedded migration mode. For example, the code of Spout or Bolt compiled using Storm API is embedded.</p>
+</div>
+<div class="section" id="mrs_01_1051__section9917241182615"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1051__ol9412429269"><li id="mrs_01_1051__li1441742102610"><span>In Flink, perform embedded conversion to Spout and Bolt in the Storm topology to convert them to Flink operators. The following is an example of the code:</span><p><pre class="screen" id="mrs_01_1051__screen164114219265">//set up the execution environment 
+final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();  
+//get input data 
+final DataStream&lt;String&gt; text = getTextDataStream(env);  
+final DataStream&lt;Tuple2&lt;String, Integer&gt;&gt; counts = text 
+  //split up the lines in pairs (2-tuples) containing: (word,1)            
+  //this is done by a bolt that is wrapped accordingly            
+  .transform("CountBolt",                     
+    TypeExtractor.getForObject(new Tuple2&lt;String, Integer&gt;("", 0)),                     
+    new BoltWrapper&lt;String, Tuple2&lt;String, Integer&gt;&gt;(new CountBolt()))           
+  //group by the tuple field "0" and sum up tuple field "1"            
+  .keyBy(0).sum(1);  
+// execute program                 
+env.execute("Streaming WordCount with bolt tokenizer");</pre>
+</p></li><li id="mrs_01_1051__li124242182619"><span>After the modification, run the following command to submit the modification:</span><p><p id="mrs_01_1051__p54124222616"><strong id="mrs_01_1051__b1344424263">flink run -class {MainClass} WordCount.jar</strong></p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1048.html">Migrating Storm Services to Flink</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1052.html b/docs/mrs/component-operation-guide/mrs_01_1052.html
new file mode 100644
index 000000000..695b921c7
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1052.html
@@ -0,0 +1,55 @@
+<a name="mrs_01_1052"></a><a name="mrs_01_1052"></a>
+
+<h1 class="topictitle1">Migrating Services of External Security Components Interconnected with Storm</h1>
+<div id="body1590370637072"><div class="section" id="mrs_01_1052__section159271159777"><h4 class="sectiontitle">Migrating Services for Interconnecting Storm with HDFS and HBase</h4><p id="mrs_01_1052__p09791622111919">If the Storm services use the <strong id="mrs_01_1052__b89761444492853">storm-hdfs</strong> or <strong id="mrs_01_1052__b147645168192853">storm-hbase</strong> plug-in package for interconnection, you need to specify the following security parameters when migrating Storm services as instructed in <a href="mrs_01_1050.html">Completely Migrating Storm Services</a>.</p>
+<pre class="screen" id="mrs_01_1052__screen78491262565">//Initialize Storm Config.
+Config conf = new Config();  
+
+//Initialize the security plug-in list.
+List&lt;String&gt; auto_tgts = new ArrayList&lt;String&gt;(); 
+//Add the AutoTGT plug-in.
+auto_tgts.add("org.apache.storm.security.auth.kerberos.AutoTGT"); 
+//Add the AutoHDFS plug-in.
+//If HBase is interconnected, use auto_tgts.add("org.apache.storm.hbase.security.AutoHBase") to replace the following:
+auto_tgts.add("org.apache.storm.hdfs.common.security.AutoHDFS");  
+
+//Set security parameters.
+conf.put(Config.TOPOLOGY_AUTO_CREDENTIALS, auto_tgts); 
+//Set the number of workers.
+conf.setNumWorkers(3);  
+
+//Convert Storm Config to StormConfig of Flink.
+StormConfig stormConfig = new StormConfig(conf);  
+
+//Construct FlinkTopology using TopologBuilder of Storm.
+FlinkTopology topology = FlinkTopology.createTopology(builder);  
+
+//Obtain the StreamExecutionEnvironment.
+StreamExecutionEnvironment env = topology.getExecutionEnvironment();  
+
+//Add StormConfig to the environment variable of Job to construct Bolt and Spout.
+//If Config is not required during the initialization of Bolt and Spout, do not set this parameter.
+env.getConfig().setGlobalJobParameters(stormConfig); 
+
+//Submit the topology.
+topology.execute();</pre>
+<p id="mrs_01_1052__p15849182614566">After the preceding security plug-in is configured, unnecessary logins during the initialization of HDFSBolt and HBaseBolt are avoided because the security context has been configured in Flink.</p>
+</div>
+<div class="section" id="mrs_01_1052__section394119176816"><h4 class="sectiontitle">Migrating Services of Storm Interconnected with Other Security Components</h4><p id="mrs_01_1052__p18768435191913">If the plug-in packages, such as <strong id="mrs_01_1052__b198398611892853">storm-kakfa-client</strong> and <strong id="mrs_01_1052__b138826426892853">storm-solr</strong> are used for interconnection between Storm and other components for service migration, the previously configured security plug-ins need to be deleted.</p>
+<pre class="screen" id="mrs_01_1052__screen118498262560">List&lt;String&gt; auto_tgts = new ArrayList&lt;String&gt;(); 
+//keytab mode
+auto_tgts.add("org.apache.storm.security.auth.kerberos.AutoTGTFromKeytab");  
+
+//Write the plug-in list configured on the client to the specified config parameter.
+//Mandatory in security mode
+//This configuration is not required in common mode, and you can comment out the following line.
+conf.put(Config.TOPOLOGY_AUTO_CREDENTIALS, auto_tgts);</pre>
+<p id="mrs_01_1052__p8849162695610">The AutoTGTFromKeytab plug-in must be deleted during service migration. Otherwise, the login will fail when Bolt or Spout is initialized.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1048.html">Migrating Storm Services to Flink</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1053.html b/docs/mrs/component-operation-guide/mrs_01_1053.html
new file mode 100644
index 000000000..8674eaf94
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1053.html
@@ -0,0 +1,365 @@
+<a name="mrs_01_1053"></a><a name="mrs_01_1053"></a>
+
+<h1 class="topictitle1">Storm Log Introduction</h1>
+<div id="body1590370637076"><p id="mrs_01_1053__p545492183920">This section applies to MRS 3.<em id="mrs_01_1053__i21128194809125">x</em> or later.</p>
+<div class="section" id="mrs_01_1053__sbd4ab16a2bf944a8b769ba253a1a007a"><h4 class="sectiontitle">Log Description</h4><p id="mrs_01_1053__en-us_topic_0046736750_p12956639">Log paths: The default paths of Storm log files are <strong id="mrs_01_1053__b1559216349350">/var/log/Bigdata/storm/</strong><em id="mrs_01_1053__i2619182314310">Role name</em> (run logs) and <strong id="mrs_01_1053__b16602135943616">/var/log/Bigdata/audit/storm/</strong><em id="mrs_01_1053__i13205143663112">Role name</em> (audit logs).</p>
+<ul id="mrs_01_1053__en-us_topic_0046736750_ul49500894"><li id="mrs_01_1053__en-us_topic_0046736750_li42854864">Nimbus: <strong id="mrs_01_1053__b171731917379">/var/log/Bigdata/storm/nimbus</strong> (run logs) and <strong id="mrs_01_1053__b8237163353714">/var/log/Bigdata/audit/storm/nimbus</strong> (audit logs)</li><li id="mrs_01_1053__en-us_topic_0046736750_li50149464">Supervisor: <strong id="mrs_01_1053__b576320298419">/var/log/Bigdata/storm/supervisor</strong> (run logs) and <strong id="mrs_01_1053__b1598718473418">/var/log/Bigdata/audit/storm/supervisor</strong> (audit logs)</li><li id="mrs_01_1053__en-us_topic_0046736750_li48691998">UI: <strong id="mrs_01_1053__b11342325439">/var/log/Bigdata/storm/ui</strong> (run logs) and <strong id="mrs_01_1053__b661184811438">/var/log/Bigdata/audit/storm/ui</strong> (audit logs)</li><li id="mrs_01_1053__li1514014393215">Logviewer: <strong id="mrs_01_1053__b144741416164810">/var/log/Bigdata/storm/logviewer</strong> (run logs) and <strong id="mrs_01_1053__b8872103724819">/var/log/Bigdata/audit/storm/logviewer</strong> (audit logs)</li></ul>
+<p id="mrs_01_1053__en-us_topic_0046736750_p35574803">Log archive rule: The automatic Storm log compression function is enabled. By default, when the size of logs exceeds 10 MB, logs are automatically compressed into a log file named in the following format: <em id="mrs_01_1053__i1895075915717">&lt;Original log name&gt;</em><strong id="mrs_01_1053__b9951459165711">.log.</strong><em id="mrs_01_1053__i5951115916578">[ID]</em><strong id="mrs_01_1053__b2951145913579">.gz</strong>. A maximum of 20 latest compressed files are reserved by default. You can configure the number of compressed files and the compression threshold.</p>
+<p id="mrs_01_1053__en-us_topic_0046736750_p62986807">Names of compressed audit log files are in the format of <strong id="mrs_01_1053__b141530198718">audit.log.</strong><em id="mrs_01_1053__i1523452310716">[yyyy-MM-dd]</em><strong id="mrs_01_1053__b133548278717">.</strong><em id="mrs_01_1053__i461717317714">[ID]</em><strong id="mrs_01_1053__b2228193415715">.zip</strong>. These files permanently exist.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1053__en-us_topic_0046736750_table30010351" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Storm log list</caption><thead align="left"><tr id="mrs_01_1053__en-us_topic_0046736750_row35384185"><th align="left" class="cellrowborder" valign="top" width="32.273227322732275%" id="mcps1.3.2.6.2.4.1.1"><p id="mrs_01_1053__en-us_topic_0046736750_p47546751">Log Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="34.32343234323432%" id="mcps1.3.2.6.2.4.1.2"><p id="mrs_01_1053__en-us_topic_0046736750_p26081629">Log File Name</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.4033403340334%" id="mcps1.3.2.6.2.4.1.3"><p id="mrs_01_1053__en-us_topic_0046736750_p32237244">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1053__en-us_topic_0046736750_row61080004"><td class="cellrowborder" rowspan="41" valign="top" width="32.273227322732275%" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p48533276">Run log</p>
+<p id="mrs_01_1053__p1261025193912"></p>
+<p id="mrs_01_1053__p561016513394"></p>
+<p id="mrs_01_1053__p1361116513915"></p>
+<p id="mrs_01_1053__p561114511390"></p>
+<p id="mrs_01_1053__p36112503918"></p>
+<p id="mrs_01_1053__p1361118593913"></p>
+<p id="mrs_01_1053__p061165163911"></p>
+<p id="mrs_01_1053__p1661116513398"></p>
+<p id="mrs_01_1053__p206111057395"></p>
+<p id="mrs_01_1053__p156113515393"></p>
+<p id="mrs_01_1053__p1661195163911"></p>
+<p id="mrs_01_1053__p11611115183912"></p>
+<p id="mrs_01_1053__p1161110520397"></p>
+<p id="mrs_01_1053__p10611125133917"></p>
+<p id="mrs_01_1053__p166114515392"></p>
+<p id="mrs_01_1053__p1361175103918"></p>
+<p id="mrs_01_1053__p1161185173911"></p>
+<p id="mrs_01_1053__p76119516391"></p>
+<p id="mrs_01_1053__p361116523917"></p>
+<p id="mrs_01_1053__p19611135193912"></p>
+<p id="mrs_01_1053__p3611175153914"></p>
+<p id="mrs_01_1053__p76112513398"></p>
+<p id="mrs_01_1053__p96117516398"></p>
+<p id="mrs_01_1053__p76115553917"></p>
+<p id="mrs_01_1053__p3611757398"></p>
+<p id="mrs_01_1053__p8611195103914"></p>
+<p id="mrs_01_1053__p1161119517398"></p>
+<p id="mrs_01_1053__p8611654396"></p>
+<p id="mrs_01_1053__p161125183918"></p>
+<p id="mrs_01_1053__p46123512391"></p>
+<p id="mrs_01_1053__p20612145193919"></p>
+<p id="mrs_01_1053__p1161213514391"></p>
+<p id="mrs_01_1053__p361210553910"></p>
+<p id="mrs_01_1053__p162411202423"></p>
+<p id="mrs_01_1053__p824242034219"></p>
+<p id="mrs_01_1053__p1439417451410"></p>
+<p id="mrs_01_1053__p2603193744112"></p>
+<p id="mrs_01_1053__p1193882420417"></p>
+<p id="mrs_01_1053__p631314884117"></p>
+<p id="mrs_01_1053__p831915343539"></p>
+</td>
+<td class="cellrowborder" valign="top" width="34.32343234323432%" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p38881260">nimbus/access.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.4033403340334%" headers="mcps1.3.2.6.2.4.1.3 "><p id="mrs_01_1053__en-us_topic_0046736750_p62374365">Nimbus user access log</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row24498377"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p38211534">nimbus/nimbus-&lt;PID&gt;-gc.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p8126535">GC log of the Nimbus process</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row6029955"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p18664326">nimbus/checkavailable.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p35415409">Nimbus availability check log</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row50303229"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p48029785">nimbus/checkService.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p65207344">Nimbus serviceability check log</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row47092274"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p56377868">nimbus/metrics.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p3204586">Nimbus monitoring statistics log</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row28841278"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p54442206">nimbus/nimbus.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p47742583">Run log of the Nimbus process</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row27030064"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p41951536">nimbus/postinstall.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p42631228">Work log after Nimbus installation</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row48136739"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p6761773">nimbus/prestart.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p10832760">Work log before Nimbus startup</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row30385981"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p45345420">nimbus/start.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p49100399">Work log of Nimbus startup</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row39250412"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p25166793">nimbus/stop.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p25244334">Work log of Nimbus shutdown</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row7243425"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p49846585">supervisor/access.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p11041569">Supervisor access log</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row32265258"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p63349134">supervisor/metrics.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p31006230">Supervisor monitoring statistics log</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row10620619"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p54963845">supervisor/postinstall.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p22886488">Work log after supervisor installation</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row4651802"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p41251652">supervisor/prestart.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p53049498">Work log before supervisor startup</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row7683442"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p18379062">supervisor/start.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p12309083">Work log of supervisor startup</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row43672889"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p47843154">supervisor/stop.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p50090271">Work log of supervisor shutdown</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row48159261"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p8586068">supervisor/supervisor.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p24382899">Run log of the supervisor process</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row18119506"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p58393857">supervisor/supervisor-&lt;PID&gt;-gc.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p32281965">GC log of the supervisor process</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row18792716"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p45815008">ui/access.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p20028161">UI access log</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row46035721"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p37905927">ui/metric.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p50481286">UI monitoring statistics log</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row51678398"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p25200672">ui/ui-&lt;PID&gt;-gc.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p27988567">GC log of the UI process</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row50570518"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p2571303">ui/postinstall.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p6948992">Work log after UI installation</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row62540936"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p32651041">ui/prestart.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p27488663">Work log before UI startup</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row46071376"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p40793947">ui/start.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p15975415">Work log of UI startup</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row9561011"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p36244394">ui/stop.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p50114822">Work log of UI shutdown</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row48380222"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p26483884">ui/ui.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p64819826">Run log of the UI process</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row61101288"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p50257313">logviewer/access.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p44310522">Logviewer access log</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row63250378"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p23006966">logviewer/metric.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p51624983">Logviewer monitoring statistics log</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row61971671"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p53649474">logviewer/logviewer-&lt;PID&gt;-gc.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p50640150">GC log file of the logviewer process</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row53108166"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p6794185">logviewer/logviewer.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p13458121">Run log of the logviewer process</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row54014227"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p13076248">logviewer/postinstall.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p52543182">Work log after logviewer installation</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row3126595"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p51927620">logviewer/prestart.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p45387723">Work log before logviewer startup</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row5836323"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p2980139">logviewer/start.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p40064683">Work log of logviewer startup</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__row4610567516258"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__p2275901816321">logviewer/stop.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__p3154119216321">Work log of logviewer shutdown</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__row9361204184216"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__p524214201429">supervisor/[topologyId]-worker-[<em id="mrs_01_1053__i0718335156">Port number</em>].log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__p02421120144219">Run log of the Worker process. One port occupies one log file. By default, the system contains five ports: 29100, 29101, 29102, 29103 and 29304.</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__row1018553413384"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__p132421820114214">supervisor/metadata/[topologyid]-worker-[<em id="mrs_01_1053__i4509541161118">Port number</em>].yaml</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__p192421620134215">Worker log metadata file, which is used by logviewer to delete logs. This file is automatically deleted by the logviewer log deletion thread based on certain conditions.</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__row10934112920381"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__p1439494524114">nimbus/cleanup.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__p039516455414">Cleanup log of Nimbus uninstallation</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__row12711426133819"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__p1060383754117">logviewer/cleanup.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__p10603183718419">Cleanup log of logviewer uninstallation</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__row25271422193811"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__p9938224104110">ui/cleanup.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__p179383244414">Cleanup log of UI uninstallation</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__row21683181385"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__p131319874112">supervisor/cleanup.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__p1431318194120">Cleanup log of supervisor uninstallation</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__row577841632"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__p46805441632">leader_switch.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__p435797971632">Run log file that records the Storm active/standby switchover</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row50697487"><td class="cellrowborder" rowspan="4" valign="top" width="32.273227322732275%" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p12855810">Audit log</p>
+</td>
+<td class="cellrowborder" valign="top" width="34.32343234323432%" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p34687669">nimbus/audit.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.4033403340334%" headers="mcps1.3.2.6.2.4.1.3 "><p id="mrs_01_1053__en-us_topic_0046736750_p58237776">Nimbus audit log</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row54377940"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p42537056">ui/audit.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p22949479">UI audit log</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row5218725"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p20063603">supervisor/audit.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p14539121">Supervisor audit log</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row63743225"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p62927619">logviewer/audit</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p63972369">Logviewer audit log</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1053__section77852011145918"><h4 class="sectiontitle">Log Levels</h4><p id="mrs_01_1053__en-us_topic_0046736750_p14379404"><a href="#mrs_01_1053__t9e96567fde95476e83e7a7b9cce3954e">Table 2</a> describes the log levels supported by Storm.</p>
+<p id="mrs_01_1053__en-us_topic_0046736750_p23881051">Levels of run logs and audit logs are ERROR, WARN, INFO, and DEBUG from the highest to the lowest priority. Run logs of equal or higher levels are recorded. The higher the specified log level, the fewer the logs recorded.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1053__t9e96567fde95476e83e7a7b9cce3954e"></a><a name="t9e96567fde95476e83e7a7b9cce3954e"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1053__t9e96567fde95476e83e7a7b9cce3954e" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Log levels</caption><thead align="left"><tr id="mrs_01_1053__en-us_topic_0046736750_row21847026"><th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.3.4.2.3.1.1"><p id="mrs_01_1053__en-us_topic_0046736750_p24778668">Level</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.3.4.2.3.1.2"><p id="mrs_01_1053__en-us_topic_0046736750_p11365092">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1053__en-us_topic_0046736750_row30762366"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.4.2.3.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p8723755">ERROR</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.4.2.3.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p35535544">Logs of this level record error information about system running.</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row51384442"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.4.2.3.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p1390267">WARN</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.4.2.3.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p45502768">Logs of this level record exception information about the current event processing.</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row6871729"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.4.2.3.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p19739216">INFO</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.4.2.3.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p55372696">Logs of this level record normal running status information about the system and events.</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row28592218"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.4.2.3.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p34268337">DEBUG</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.4.2.3.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p24271941">Logs of this level record the system information and system debugging information.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1053__en-us_topic_0046736733_p66684983">To modify log levels, perform the following operations:</p>
+<ol id="mrs_01_1053__ol2049469418545"><li id="mrs_01_1053__li4027424618545"><span>Go to the <strong id="mrs_01_1053__b322156639">All Configurations</strong> page of Storm by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</span></li><li id="mrs_01_1053__li2692390118545"><span>On the menu bar on the left, select the log menu of the target role.</span></li><li id="mrs_01_1053__li4098852518545"><span>Select a desired log level.</span></li><li id="mrs_01_1053__li1719026918545"><span>Save the configuration. In the displayed dialog box, click <strong id="mrs_01_1053__b18853075469125">OK</strong> to make the configurations take effect.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_1053__sce61b44175ab454d9b2b634d8082d10f"><h4 class="sectiontitle">Log Format</h4><p id="mrs_01_1053__en-us_topic_0046736750_p32997867">The following table lists the Storm log formats:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1053__en-us_topic_0046736750_table28545349" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Log Formats</caption><thead align="left"><tr id="mrs_01_1053__en-us_topic_0046736750_row14573216"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.4.3.2.4.1.1"><p id="mrs_01_1053__en-us_topic_0046736750_p39579881">Log Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.4.3.2.4.1.2"><p id="mrs_01_1053__en-us_topic_0046736750_p51853798">Format</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.4.3.2.4.1.3"><p id="mrs_01_1053__en-us_topic_0046736750_p19128835">Example</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1053__en-us_topic_0046736750_row53386153"><td class="cellrowborder" rowspan="2" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p29311112">Run log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p25389860">%d{yyyy-MM-dd HH:mm:ss,SSS} | %-5p | [%t] | %m | %logger (%F:%L)  %n</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.2.4.1.3 "><p id="mrs_01_1053__en-us_topic_0046736750_p43312740">2015-03-11 23:04:00,241 | INFO | [RMI TCP Connection(2646)-10.0.0.2] | The baseSleepTimeMs [1000] the maxSleepTimeMs  [1000] the maxRetries [1] |  backtype.storm.utils.StormBoundedExponentialBackoffRetry  (StormBoundedExponentialBackoffRetry.java:46)</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row54270341"><td class="cellrowborder" valign="top" headers="mcps1.3.4.3.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p33821495">&lt;yyyy-MM-dd HH:mm:ss,SSS&gt;&lt;HostName&gt;&lt;RoleName&gt;&lt;logLevel&gt;&lt;Message&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.4.3.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p55186561">2017-03-28 02:57:52 493 10-5-146-1 storm- INFO Nimbus start normally</p>
+</td>
+</tr>
+<tr id="mrs_01_1053__en-us_topic_0046736750_row26917007"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.2.4.1.1 "><p id="mrs_01_1053__en-us_topic_0046736750_p32793969">Audit log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.2.4.1.2 "><p id="mrs_01_1053__en-us_topic_0046736750_p39065856"><em id="mrs_01_1053__i1778213466224">&lt;</em><em id="mrs_01_1053__i277415216222">Username</em><em id="mrs_01_1053__i167825464223">&gt;&lt;</em><em id="mrs_01_1053__i22421262223">User IP address</em><em id="mrs_01_1053__i778264613221">&gt;&lt;</em><em id="mrs_01_1053__i192272915223">Time</em><em id="mrs_01_1053__i197827465226">&gt;&lt;</em><em id="mrs_01_1053__i265133192212">Operation</em><em id="mrs_01_1053__i878217467229">&gt;&lt;</em><em id="mrs_01_1053__i875433313229">Operation object</em><em id="mrs_01_1053__i13782174652214">&gt;&lt;</em><em id="mrs_01_1053__i6669836152216">Operation result</em><em id="mrs_01_1053__i67821246182211">&gt;</em></p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.2.4.1.3 "><p id="mrs_01_1053__en-us_topic_0046736750_p10217763">UserName=storm/hadoop, UserIP=10.10.0.2, Time=Tue Mar 10 01:15:35 CST 2015, Operation=Kill, Resource=test, Result=Success</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0380.html">Using Storm</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1054.html b/docs/mrs/component-operation-guide/mrs_01_1054.html
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+<a name="mrs_01_1054"></a><a name="mrs_01_1054"></a>
+
+<h1 class="topictitle1">Performance Tuning</h1>
+<div id="body1590370637077"><p id="mrs_01_1054__p8060118"></p>
+</div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1055.html">Storm Performance Tuning</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0380.html">Using Storm</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1055.html b/docs/mrs/component-operation-guide/mrs_01_1055.html
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+<a name="mrs_01_1055"></a><a name="mrs_01_1055"></a>
+
+<h1 class="topictitle1">Storm Performance Tuning</h1>
+<div id="body1590370637078"><div class="section" id="mrs_01_1055__se7b7ce0409a246f186c78bf28bd4ce2c"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1055__afa2df4ef67af4af59f1b515438954116">You can modify Storm parameters to improve Storm performance in specific service scenarios.</p>
+<p id="mrs_01_1055__p184721821141115">This section applies to MRS 3.x or later.</p>
+<p id="mrs_01_1055__p11526143493219">Modify the service configuration parameters. For details, see <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+</div>
+<div class="section" id="mrs_01_1055__sa60487d3c6204ce9b537d08b887c7867"><h4 class="sectiontitle">Topology Tuning</h4><p id="mrs_01_1055__a6472b009595746ae8bad4ce5f18371e1">This task enables you to optimize topologies to improve efficiency for Storm to process data. It is recommended that topologies be optimized in scenarios with lower reliability requirements.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1055__t522a3dd789f8415d92b695f14b1e2198" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Tuning parameters</caption><thead align="left"><tr id="mrs_01_1055__rb30d396d77474993ae130298f3fb69b1"><th align="left" class="cellrowborder" valign="top" width="24.240000000000002%" id="mcps1.3.2.3.2.4.1.1"><p id="mrs_01_1055__ac449e0c054e34d119b556993c4d5b616">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="19.189999999999998%" id="mcps1.3.2.3.2.4.1.2"><p id="mrs_01_1055__a87887049bfe045f2ae364ddae0b9caf6">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="56.57%" id="mcps1.3.2.3.2.4.1.3"><p id="mrs_01_1055__ad5e6f55f9e6e4c59b4d45f1a9913c8b9">Scenario</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1055__raf53ca537a1441c0b02d6995bb5078ee"><td class="cellrowborder" valign="top" width="24.240000000000002%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1055__ad4cddf28c15248f5a58f294e39f07f14">topology.acker.executors</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.189999999999998%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1055__acedf1e69be114057a749bc5425a3e1ad">null</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.57%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1055__ad9f7496694fc45cba860939a37eceef9">Specifies the number of acker executors. If a service application has lower reliability requirements and certain data does not need to be processed, this parameter can be set to <strong id="mrs_01_1055__b2109835104919">null</strong> or <strong id="mrs_01_1055__b1511473544910">0</strong> so that you can set acker off, flow control is weakened, and message delay is not calculated. This improves performance.</p>
+</td>
+</tr>
+<tr id="mrs_01_1055__r16f9874d2cc44bed88db6b51e4b8e4ab"><td class="cellrowborder" valign="top" width="24.240000000000002%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1055__a9fa1f78ec020418ba0192ca1dc607e94">topology.max.spout.pending</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.189999999999998%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1055__a89356c2fdcda4b73b93b5af4a4427318">null</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.57%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1055__aebe49c1a8b4f47aa9ebe05a0f421605f">Specifies the number of messages cached by spout. The parameter value takes effect only when acker is not <strong id="mrs_01_1055__b1453664324620">0</strong> or <strong id="mrs_01_1055__b6542134394610">null</strong>. Spout adds each message sent to downstream bolt into the pending queue. The message is removed from the queue after downstream bolt processes the message and the processing is confirmed. When the pending queue is full, spout stops sending messages. Increasing the pending value improves the message throughput of spout per second but prolongs the delay.</p>
+</td>
+</tr>
+<tr id="mrs_01_1055__ra094ccac5b2745e696e6b856d7cf723a"><td class="cellrowborder" valign="top" width="24.240000000000002%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1055__a17e160d77587438fb16b3b9b574969a1">topology.transfer.buffer.size</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.189999999999998%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1055__a88cd668ebde742f19a65df480816a01a">32</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.57%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1055__aee82073ddcb74482934694a2d418de13">Specifies the size of the Distuptor message queue for each worker process. It is recommended that the size be between 4 to 32. Increasing the queue size improves the throughput but may prolong the delay.</p>
+</td>
+</tr>
+<tr id="mrs_01_1055__r9e5dad2317cc4f56a4701444a3e90b7b"><td class="cellrowborder" valign="top" width="24.240000000000002%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1055__a1b042994e49c4a92907b3cf14dbc8732">RES_CPUSET_PERCENTAGE</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.189999999999998%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1055__aa1655e3f671e46c7b0e9b378c56d2f0b">80</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.57%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1055__a6da219be5f3943d4b792ef483b9407d5">Specifies the percentage of physical CPU resources used by the supervisor role instance (including startup and management worker processes) on each node. Adjust the parameter value based on service volume requirements of the node on which the supervisor exists, to optimize CPU usage.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1055__s6ca3eebe1a3a4e76bc34541ebd2b0327"><h4 class="sectiontitle">JVM Tuning</h4><p id="mrs_01_1055__a4dbf8e4cf32c472fbd86fd585024f99b">If an application must occupy more memory resources to process a large volume of data and the size of worker memory is greater than 2 GB, the G1 garbage collection algorithm is recommended.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1055__t2ea54ebd043d44a6a42c9e42d2cf907e" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Tuning parameters</caption><thead align="left"><tr id="mrs_01_1055__rfb4cc6005b5744cca1ee52a23ee2996c"><th align="left" class="cellrowborder" valign="top" width="24.240000000000002%" id="mcps1.3.3.3.2.4.1.1"><p id="mrs_01_1055__a91ee346ff844466396048e0e2ac504d3">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="19.189999999999998%" id="mcps1.3.3.3.2.4.1.2"><p id="mrs_01_1055__a2a39cb5e13034100b9b03fdde7851966">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="56.57%" id="mcps1.3.3.3.2.4.1.3"><p id="mrs_01_1055__a4b2b9d2a65b84272af7b7a7c1befb98c">Scenario</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1055__r41510a04418d42e99b28fe0d206e2f2b"><td class="cellrowborder" valign="top" width="24.240000000000002%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1055__aa51428f2178541d08f580d8ac1c1189c">WORKER_GC_OPTS</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.189999999999998%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1055__a54fd6f71bafa4b958a4e55ee7be7ef37">-Xms1G -Xmx1G -XX:+UseG1GC -XX:+PrintGCDetails -Xloggc:artifacts/gc.log -XX:+PrintGCDateStamps -XX:+PrintGCTimeStamps -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=10 -XX:GCLogFileSize=1M -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=artifacts/heapdump</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.57%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1055__en-us_topic_0116526954_p403551114918">If an application must occupy more memory resources to process a large volume of data and the size of worker memory is greater than 2 GB, the G1 garbage collection algorithm is recommended. In this case, change the parameter value to <strong id="mrs_01_1055__b519791234910">-Xms2G -Xmx5G -XX:+UseG1GC</strong>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1054.html">Performance Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1056.html b/docs/mrs/component-operation-guide/mrs_01_1056.html
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+<a name="mrs_01_1056"></a><a name="mrs_01_1056"></a>
+
+<h1 class="topictitle1">HBase Log Overview</h1>
+<div id="body1590128863830"><div class="section" id="mrs_01_1056__s280f0762554e44a79a988de12f5cccdc"><h4 class="sectiontitle">Log Description</h4><p id="mrs_01_1056__en-us_topic_0046736732_p22008476"><strong id="mrs_01_1056__b14800142711215">Log path</strong>: The default storage path of HBase logs is <strong id="mrs_01_1056__b4307105571220">/var/log/Bigdata/hbase/</strong><em id="mrs_01_1056__i288895781218">Role name</em>.</p>
+<ul id="mrs_01_1056__en-us_topic_0046736732_ul37856118"><li id="mrs_01_1056__en-us_topic_0046736732_li5160748">HMaster: <strong id="mrs_01_1056__b1864021271314">/var/log/Bigdata/hbase/hm</strong> (run logs) and <strong id="mrs_01_1056__b631001611139">/var/log/Bigdata/audit/hbase/hm</strong> (audit logs)</li><li id="mrs_01_1056__en-us_topic_0046736732_li46446737">RegionServer: <strong id="mrs_01_1056__b5289727191319">/var/log/Bigdata/hbase/rs</strong> (run logs) and <strong id="mrs_01_1056__b723873220136">/var/log/Bigdata/audit/hbase/rs</strong> (audit logs)</li><li id="mrs_01_1056__en-us_topic_0046736732_li15367454">ThriftServer: <strong id="mrs_01_1056__b1694171784614">/var/log/Bigdata/hbase/ts2</strong> (run logs, <strong id="mrs_01_1056__b7188201324616">ts2</strong> is the instance name) and <strong id="mrs_01_1056__b3475172218465">/var/log/Bigdata/audit/hbase/ts2</strong> (audit logs, <strong id="mrs_01_1056__b209491333174617">ts2</strong> is the instance name)</li></ul>
+<p id="mrs_01_1056__en-us_topic_0046736732_p4089365"><strong id="mrs_01_1056__en-us_topic_0046736732_b36804285">Log archive rule</strong>: The automatic log compression and archiving function of HBase is enabled. By default, when the size of a log file exceeds 30 MB, the log file is automatically compressed. The naming rule of a compressed log file is as follows: &lt;<em id="mrs_01_1056__i37941153151319">Original log name</em>&gt;-&lt;<em id="mrs_01_1056__i12796353121316">yyyy-mm-dd_hh-mm-ss</em>&gt;.[<em id="mrs_01_1056__i57972537137">ID</em>].<strong id="mrs_01_1056__b1679985391313">log.zip</strong> A maximum of 20 latest compressed files are reserved. The number of compressed files can be configured on the Manager portal.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1056__en-us_topic_0046736732_table62803112" frame="border" border="1" rules="all"><caption><b>Table 1 </b>HBase log list</caption><thead align="left"><tr id="mrs_01_1056__en-us_topic_0046736732_row27305877"><th align="left" class="cellrowborder" valign="top" width="25.26252625262526%" id="mcps1.3.1.5.2.4.1.1"><p id="mrs_01_1056__en-us_topic_0046736732_p64292394">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="35.2035203520352%" id="mcps1.3.1.5.2.4.1.2"><p id="mrs_01_1056__en-us_topic_0046736732_p40301403">Name</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="39.53395339533953%" id="mcps1.3.1.5.2.4.1.3"><p id="mrs_01_1056__en-us_topic_0046736732_p43188242">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1056__en-us_topic_0046736732_row8586676"><td class="cellrowborder" rowspan="8" valign="top" width="25.26252625262526%" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1056__en-us_topic_0046736732_p24432171">Run logs</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.2035203520352%" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1056__en-us_topic_0046736732_p32848863">hbase-&lt;SSH_USER&gt;-&lt;process_name&gt;-&lt;hostname&gt;.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.53395339533953%" headers="mcps1.3.1.5.2.4.1.3 "><p id="mrs_01_1056__en-us_topic_0046736732_p43512247">HBase system log that records the startup time, startup parameters, and most logs generated when the HBase system is running.</p>
+</td>
+</tr>
+<tr id="mrs_01_1056__en-us_topic_0046736732_row56065908"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1056__en-us_topic_0046736732_p45044734">hbase-&lt;SSH_USER&gt;-&lt;process_name&gt;-&lt;hostname&gt;.out</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1056__en-us_topic_0046736732_p24744865">Log that records the HBase running environment information.</p>
+</td>
+</tr>
+<tr id="mrs_01_1056__en-us_topic_0046736732_row21377195"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1056__en-us_topic_0046736732_p53831205">&lt;process_name&gt;-&lt;SSH_USER&gt;-&lt;DATE&gt;-&lt;PID&gt;-gc.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1056__en-us_topic_0046736732_p65360331">Log that records HBase junk collections.</p>
+</td>
+</tr>
+<tr id="mrs_01_1056__en-us_topic_0046736732_row51372075"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1056__en-us_topic_0046736732_p388543">checkServiceDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1056__en-us_topic_0046736732_p31472052">Log that records whether the HBase service starts successfully.</p>
+</td>
+</tr>
+<tr id="mrs_01_1056__en-us_topic_0046736732_row14813018"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1056__en-us_topic_0046736732_p59003843">hbase.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1056__en-us_topic_0046736732_p14581984">Log generated when the HBase service health check script and some alarm check scripts are executed.</p>
+</td>
+</tr>
+<tr id="mrs_01_1056__row1185541144"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1056__p1885412415">sendAlarm.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1056__p88754648">Log that records alarms reported after execution of HBase alarm check scripts.</p>
+</td>
+</tr>
+<tr id="mrs_01_1056__row6569151932717"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1056__p757018193279">hbase-haCheck.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1056__p057014199273">Log that records the active and standby status of HMaster</p>
+</td>
+</tr>
+<tr id="mrs_01_1056__row58271211874"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1056__p282714113712">stop.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1056__p1882716111373">Log that records the startup and stop processes of HBase.</p>
+</td>
+</tr>
+<tr id="mrs_01_1056__en-us_topic_0046736732_row64128998"><td class="cellrowborder" valign="top" width="25.26252625262526%" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1056__en-us_topic_0046736732_p27066349">Audit logs</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.2035203520352%" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1056__en-us_topic_0046736732_p44890652">hbase-audit-&lt;process_name&gt;.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.53395339533953%" headers="mcps1.3.1.5.2.4.1.3 "><p id="mrs_01_1056__en-us_topic_0046736732_p12264220">Log that records HBase security audit.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1056__section134071241154817"><h4 class="sectiontitle">Log Level</h4><p id="mrs_01_1056__en-us_topic_0046736732_p53877781"><a href="#mrs_01_1056__tbb25f33f364f4d2d8e14cd48d9f8dd0b">Table 2</a> describes the log levels supported by HBase. The priorities of log levels are FATAL, ERROR, WARN, INFO, and DEBUG in descending order. Logs whose levels are higher than or equal to the specified level are printed. The number of printed logs decreases as the specified log level increases.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1056__tbb25f33f364f4d2d8e14cd48d9f8dd0b"></a><a name="tbb25f33f364f4d2d8e14cd48d9f8dd0b"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1056__tbb25f33f364f4d2d8e14cd48d9f8dd0b" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Log levels</caption><thead align="left"><tr id="mrs_01_1056__en-us_topic_0046736732_row7070795"><th align="left" class="cellrowborder" valign="top" width="25.25%" id="mcps1.3.2.3.2.3.1.1"><p id="mrs_01_1056__en-us_topic_0046736732_p35863542"><strong id="mrs_01_1056__en-us_topic_0046736732_b54336427">Level</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="74.75%" id="mcps1.3.2.3.2.3.1.2"><p id="mrs_01_1056__en-us_topic_0046736732_p39174490"><strong id="mrs_01_1056__en-us_topic_0046736732_b17026093">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1056__en-us_topic_0046736732_row36936330"><td class="cellrowborder" valign="top" width="25.25%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_1056__en-us_topic_0046736732_p39052743">FATAL</p>
+</td>
+<td class="cellrowborder" valign="top" width="74.75%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_1056__en-us_topic_0046736732_p9155596">Logs of this level record fatal error information about the current event processing that may result in a system crash.</p>
+</td>
+</tr>
+<tr id="mrs_01_1056__en-us_topic_0046736732_row15291506"><td class="cellrowborder" valign="top" width="25.25%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_1056__en-us_topic_0046736732_p30652439">ERROR</p>
+</td>
+<td class="cellrowborder" valign="top" width="74.75%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_1056__en-us_topic_0046736732_p66928472">Logs of this level record error information about the current event processing, which indicates that system running is abnormal.</p>
+</td>
+</tr>
+<tr id="mrs_01_1056__en-us_topic_0046736732_row65485343"><td class="cellrowborder" valign="top" width="25.25%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_1056__en-us_topic_0046736732_p2712599">WARN</p>
+</td>
+<td class="cellrowborder" valign="top" width="74.75%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_1056__en-us_topic_0046736732_p18393951">Logs of this level record abnormal information about the current event processing. These abnormalities will not result in system faults.</p>
+</td>
+</tr>
+<tr id="mrs_01_1056__en-us_topic_0046736732_row31327832"><td class="cellrowborder" valign="top" width="25.25%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_1056__en-us_topic_0046736732_p54526492">INFO</p>
+</td>
+<td class="cellrowborder" valign="top" width="74.75%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_1056__en-us_topic_0046736732_p54569732">Logs of this level record normal running status information about the system and events.</p>
+</td>
+</tr>
+<tr id="mrs_01_1056__en-us_topic_0046736732_row21365545"><td class="cellrowborder" valign="top" width="25.25%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_1056__en-us_topic_0046736732_p52887619">DEBUG</p>
+</td>
+<td class="cellrowborder" valign="top" width="74.75%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_1056__en-us_topic_0046736732_p56038774">Logs of this level record the system information and system debugging information.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1056__en-us_topic_0046736732_p34586920">To modify log levels, perform the following operations:</p>
+<ol id="mrs_01_1056__ol6123040185348"><li id="mrs_01_1056__li1377171617163"><span>Go to the <strong id="mrs_01_1056__b1140443445311">All Configurations</strong> page of the HBase service. For details, see <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</span></li><li id="mrs_01_1056__li25415870185348"><span>On the left menu bar, select the log menu of the target role.</span></li><li id="mrs_01_1056__li27416241185348"><span>Select a desired log level.</span></li><li id="mrs_01_1056__li45419580185348"><span>Save the configuration. In the displayed dialog box, click <strong id="mrs_01_1056__b461812401345">OK</strong> to make the configurations take effect.</span><p><div class="note" id="mrs_01_1056__en-us_topic_0046736732_note788091"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_1056__en-us_topic_0046736732_p7092825">The configurations take effect immediately without the need to restart the service.</p>
+</div></div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_1056__sc212e9ad2780499e986a7ef1a0d45a10"><h4 class="sectiontitle">Log Formats</h4><p id="mrs_01_1056__en-us_topic_0046736732_p37647975">The following table lists the HBase log formats.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1056__en-us_topic_0046736732_table3287456" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Log formats</caption><thead align="left"><tr id="mrs_01_1056__en-us_topic_0046736732_row19182368"><th align="left" class="cellrowborder" valign="top" width="15.310000000000002%" id="mcps1.3.3.3.2.5.1.1"><p id="mrs_01_1056__en-us_topic_0046736732_p10267951">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="18.37%" id="mcps1.3.3.3.2.5.1.2"><p id="mrs_01_1056__en-us_topic_0046736732_p26397691">Component</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="30.61%" id="mcps1.3.3.3.2.5.1.3"><p id="mrs_01_1056__en-us_topic_0046736732_p57838187">Format</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="35.709999999999994%" id="mcps1.3.3.3.2.5.1.4"><p id="mrs_01_1056__en-us_topic_0046736732_p54381543">Example</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1056__en-us_topic_0046736732_row42828888"><td class="cellrowborder" rowspan="3" valign="top" width="15.310000000000002%" headers="mcps1.3.3.3.2.5.1.1 "><p id="mrs_01_1056__en-us_topic_0046736732_p46587942">Run logs</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.37%" headers="mcps1.3.3.3.2.5.1.2 "><p id="mrs_01_1056__en-us_topic_0046736732_p15526968">HMaster</p>
+</td>
+<td class="cellrowborder" valign="top" width="30.61%" headers="mcps1.3.3.3.2.5.1.3 "><p id="mrs_01_1056__en-us_topic_0046736732_p49724919">&lt;yyyy-MM-dd HH:mm:ss,SSS&gt;|&lt;Log Level&gt;|&lt;<em id="mrs_01_1056__i20302315152414">Thread that generates the log</em>&gt;|&lt;<em id="mrs_01_1056__i6307111510249">Message in the log</em>&gt;|&lt;<em id="mrs_01_1056__i1307151592410">Location of the log event</em>&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.709999999999994%" headers="mcps1.3.3.3.2.5.1.4 "><p id="mrs_01_1056__en-us_topic_0046736732_p1186634">2020-01-19 16:04:53,558 | INFO | main | env:HBASE_THRIFT_OPTS= | org.apache.hadoop.hbase.util.ServerCommandLine.logProcessInfo(ServerCommandLine.java:113)</p>
+</td>
+</tr>
+<tr id="mrs_01_1056__en-us_topic_0046736732_row10679711"><td class="cellrowborder" valign="top" headers="mcps1.3.3.3.2.5.1.1 "><p id="mrs_01_1056__en-us_topic_0046736732_p59750252">RegionServer</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.3.3.2.5.1.2 "><p id="mrs_01_1056__en-us_topic_0046736732_p7932225">&lt;yyyy-MM-dd HH:mm:ss,SSS&gt;|&lt;Log Level&gt;|&lt;<em id="mrs_01_1056__i64761124192413">Thread that generates the log</em>&gt;|&lt;<em id="mrs_01_1056__i648262422418">Message in the log</em>&gt;|&lt;<em id="mrs_01_1056__i19482024192412">Location of the log event</em>&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.3.3.2.5.1.3 "><p id="mrs_01_1056__en-us_topic_0046736732_p38530503">2020-01-19 16:05:18,589 | INFO | regionserver16020-SendThread(linux-k6da:2181) | Client will use GSSAPI as SASL mechanism. | org.apache.zookeeper.client.ZooKeeperSaslClient$1.run(ZooKeeperSaslClient.java:285)</p>
+</td>
+</tr>
+<tr id="mrs_01_1056__en-us_topic_0046736732_row11230212"><td class="cellrowborder" valign="top" headers="mcps1.3.3.3.2.5.1.1 "><p id="mrs_01_1056__en-us_topic_0046736732_p37231957">ThriftServer</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.3.3.2.5.1.2 "><p id="mrs_01_1056__en-us_topic_0046736732_p62998572">&lt;yyyy-MM-dd HH:mm:ss,SSS&gt;|&lt;Log Level&gt;|&lt;<em id="mrs_01_1056__i17492113342411">Thread that generates the log</em>&gt;|&lt;<em id="mrs_01_1056__i249743302418">Message in the log</em>&gt;|&lt;<em id="mrs_01_1056__i12497113312410">Location of the log event</em>&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.3.3.2.5.1.3 "><p id="mrs_01_1056__en-us_topic_0046736732_p2610670">2020-02-16 09:42:55,371 | INFO | main | loaded properties from hadoop-metrics2.properties | org.apache.hadoop.metrics2.impl.MetricsConfig.loadFirst(MetricsConfig.java:111)</p>
+</td>
+</tr>
+<tr id="mrs_01_1056__en-us_topic_0046736732_row23496036"><td class="cellrowborder" rowspan="3" valign="top" width="15.310000000000002%" headers="mcps1.3.3.3.2.5.1.1 "><p id="mrs_01_1056__en-us_topic_0046736732_p24130740">Audit logs</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.37%" headers="mcps1.3.3.3.2.5.1.2 "><p id="mrs_01_1056__en-us_topic_0046736732_p8432933">HMaster</p>
+</td>
+<td class="cellrowborder" valign="top" width="30.61%" headers="mcps1.3.3.3.2.5.1.3 "><p id="mrs_01_1056__en-us_topic_0046736732_p11978974">&lt;yyyy-MM-dd HH:mm:ss,SSS&gt;|&lt;Log Level&gt;|&lt;<em id="mrs_01_1056__i2832164414245">Thread that generates the log</em>&gt;|&lt;<em id="mrs_01_1056__i18837944112419">Message in the log</em>&gt;|&lt;<em id="mrs_01_1056__i78388446249">Location of the log event</em>&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.709999999999994%" headers="mcps1.3.3.3.2.5.1.4 "><p id="mrs_01_1056__en-us_topic_0046736732_p30772872">2020-02-16 09:42:40,934 | INFO | master:linux-k6da:16000 | Master: [master:linux-k6da:16000] start operation called. | org.apache.hadoop.hbase.master.HMaster.run(HMaster.java:581)</p>
+</td>
+</tr>
+<tr id="mrs_01_1056__en-us_topic_0046736732_row8520399"><td class="cellrowborder" valign="top" headers="mcps1.3.3.3.2.5.1.1 "><p id="mrs_01_1056__en-us_topic_0046736732_p19063717">RegionServer</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.3.3.2.5.1.2 "><p id="mrs_01_1056__en-us_topic_0046736732_p657215">&lt;yyyy-MM-dd HH:mm:ss,SSS&gt;|&lt;Log Level&gt;|&lt;<em id="mrs_01_1056__i4348155013246">Thread that generates the log</em>&gt;|&lt;<em id="mrs_01_1056__i183530507246">Message in the log</em>&gt;|&lt;<em id="mrs_01_1056__i19354185011247">Location of the log event</em>&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.3.3.2.5.1.3 "><p id="mrs_01_1056__en-us_topic_0046736732_p53234437">2020-02-16 09:42:51,063 | INFO | main | RegionServer: [regionserver16020] start operation called. | org.apache.hadoop.hbase.regionserver.HRegionServer.startRegionServer(HRegionServer.java:2396)</p>
+</td>
+</tr>
+<tr id="mrs_01_1056__en-us_topic_0046736732_row9347893"><td class="cellrowborder" valign="top" headers="mcps1.3.3.3.2.5.1.1 "><p id="mrs_01_1056__en-us_topic_0046736732_p18981865">ThriftServer</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.3.3.2.5.1.2 "><p id="mrs_01_1056__en-us_topic_0046736732_p61136126">&lt;yyyy-MM-dd HH:mm:ss,SSS&gt;|&lt;Log Level&gt;|&lt;<em id="mrs_01_1056__i9688632112513">Thread that generates the log</em>&gt;|&lt;<em id="mrs_01_1056__i1693193216252">Message in the log</em>&gt;|&lt;<em id="mrs_01_1056__i18693103202515">Location of the log event</em>&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.3.3.2.5.1.3 "><p id="mrs_01_1056__en-us_topic_0046736732_p53079196">2020-02-16 09:42:55,512 | INFO | main | thrift2 server start operation called. | org.apache.hadoop.hbase.thrift2.ThriftServer.main(ThriftServer.java:421)</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0500.html">Using HBase</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1057"></a><a name="mrs_01_1057"></a>
+
+<h1 class="topictitle1">Flume Service Configuration Guide</h1>
+<div id="body1590374307048"><p id="mrs_01_1057__p882910577156">This section applies to MRS 3.<em id="mrs_01_1057__i13306215554">x</em> or later clusters.</p>
+<p id="mrs_01_1057__ab014db7058bf4c978a7c4367131af163">This configuration guide describes how to configure common Flume services. For non-common Source, Channel, and Sink configuration, see the user manual provided by the Flume community.</p>
+<div class="note" id="mrs_01_1057__note251011551217"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1057__ul0557315175020"><li id="mrs_01_1057__li195581315105019">Parameters in bold in the following tables are mandatory.</li><li id="mrs_01_1057__li1558161595011">The value of <strong id="mrs_01_1057__b212233611983426">BatchSize</strong> of the Sink must be less than that of <strong id="mrs_01_1057__b158904928883426">transactionCapacity</strong> of the Channel.</li><li id="mrs_01_1057__li6425541201516">Only some parameters of Source, Channel, and Sink are displayed on the Flume configuration tool page. For details, see the following configurations.</li><li id="mrs_01_1057__li56441018392">The Customer Source, Customer Channel, and Customer Sink displayed on the Flume configuration tool page need to be configured based on self-developed code. The following common configurations are not displayed.</li></ul>
+</div></div>
+<div class="section" id="mrs_01_1057__s1817d127cce14121adb067fa30dbbee7"><h4 class="sectiontitle">Common Source Configurations</h4><ul id="mrs_01_1057__ul1813815395516"><li id="mrs_01_1057__li191381031555"><strong id="mrs_01_1057__a54caa69e3604480c947a8d540f7bba9f">Avro Source</strong><p id="mrs_01_1057__ae1f03c6bf5834a3aa4468fec886a8098">An Avro source listens to the Avro port, receives data from the external Avro client, and places data into configured channels. Common configurations are as follows:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1057__t1d413537e8904a318fd3183e421d4269" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Common configurations of an Avro source</caption><thead align="left"><tr id="mrs_01_1057__r2a86bbfa8b4842ce916dac4dfd3205f1"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.4.2.1.3.2.4.1.1"><p id="mrs_01_1057__abe1693aafac641b8832eafac7a6539d0"><strong id="mrs_01_1057__b19924855133511">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.4.2.1.3.2.4.1.2"><p id="mrs_01_1057__a5da2dd5e1bcb4e48b44342892aa971f1"><strong id="mrs_01_1057__b16547185811356">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.4.2.1.3.2.4.1.3"><p id="mrs_01_1057__aa2b5ed7553b442c7baea478f51e11a88"><strong id="mrs_01_1057__b032631218361">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1057__r9c4ca4b17d894794b7435549d7b5a3dd"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.1 "><p id="mrs_01_1057__a8594dad3e7064c94b68aae8abace699a">channels</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.2 "><p id="mrs_01_1057__a82400ab8a9384ad7a845d9f2fe8c8c9f">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.3 "><p id="mrs_01_1057__a15b3ca38ff42415191d727b62bfc10b3">Specifies the channel connected to the source. Multiple channels can be configured.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r8be11eb7daaf4d1188dbd0b11797b340"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.1 "><p id="mrs_01_1057__afa1e7469ae9a40a0ad0b23e7f5a6e7ab">type</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.2 "><p id="mrs_01_1057__a46a379bdce754c709d86735d7013c524">avro</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.3 "><p id="mrs_01_1057__a22c69c8879ee4297bf7ee3bf2b327fc4">Specifies the type of the avro source, which must be <strong id="mrs_01_1057__b18880324083426">avro</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r534abf1f00244499a35b27afad60788c"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.1 "><p id="mrs_01_1057__aae3f06c06c37498eac91b14c0e4416d5">bind</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.2 "><p id="mrs_01_1057__addc2490feab04e3fa834b5734b838258">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.3 "><p id="mrs_01_1057__a8e6a43e9e3db47be84ba4c3be2e386d8">Specifies the listening host name/IP address.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__rf1bdeda6c61d4ed9b1370b649b195c7d"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.1 "><p id="mrs_01_1057__a62c127ac2bc348bb9c837b4c28ebd5f4">port</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.2 "><p id="mrs_01_1057__a0815594837ca4c18aac823fed1c6a20d">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.3 "><p id="mrs_01_1057__af0aefa716275490e985534940d6b7a08">Specifies the bound listening port. Ensure that this port is not occupied.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row8257039165419"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.1 "><p id="mrs_01_1057__p8257113915419">threads</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.2 "><p id="mrs_01_1057__p12257539185419">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.3 "><p id="mrs_01_1057__p6257123965413">Specifies the maximum number of source threads.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row1852820457543"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.1 "><p id="mrs_01_1057__p18528845115411">compression-type</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.2 "><p id="mrs_01_1057__p165288454546">none</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.3 "><p id="mrs_01_1057__p752804555416">Specifies the message compression format, which can be set to <strong id="mrs_01_1057__b30399121083426">none</strong> or <strong id="mrs_01_1057__b58209756583426">deflate</strong>. <strong id="mrs_01_1057__b154097664883426">none</strong> indicates that data is not compressed, while <strong id="mrs_01_1057__b4092699083426">deflate</strong> indicates that data is compressed.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row1685153415418"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.1 "><p id="mrs_01_1057__p16853234185419">compression-level</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.2 "><p id="mrs_01_1057__p085323417548">6</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.3 "><p id="mrs_01_1057__p1585323412544">Specifies the data compression level, which ranges from <strong id="mrs_01_1057__b175312916883426">1</strong> to <strong id="mrs_01_1057__b26919613183426">9</strong>. The larger the value is, the higher the compression rate is.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r9900e6e34bfa4be1a4542c9c2d11e6c3"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.1 "><p id="mrs_01_1057__a2e2e0df6fe63426ab7e8b9ea30d1c4ce">ssl</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.2 "><p id="mrs_01_1057__ac39d2f248c00418ea3c3bdd3197a0b48">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.3 "><p id="mrs_01_1057__ae128cf9df90d4e7699fa088daae18281">Specifies whether to use SSL encryption. If this parameter is set to <strong id="mrs_01_1057__b161208216683426">true</strong>, the values of <strong id="mrs_01_1057__b28151787083426">keystore</strong> and <strong id="mrs_01_1057__b140550343083426">keystore-password</strong> must be specified.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r0dee360f645641dfb0d625db013335f7"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.1 "><p id="mrs_01_1057__a8c69ff9eb08e4f7ead3e2a3eeca7c2a3">truststore-type</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.2 "><p id="mrs_01_1057__a752f0b98987e424db7d211505ae2ce91">JKS</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.3 "><p id="mrs_01_1057__a1370372788004c05b0e328f25562eaa0">Specifies the Java trust store type, which can be set to <strong id="mrs_01_1057__b68498286283426">JKS</strong> or <strong id="mrs_01_1057__b16178891383426">PKCS12</strong>.</p>
+<div class="note" id="mrs_01_1057__note139401257437"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1057__p6625541644">Different passwords are used to protect the key store and private key of <strong id="mrs_01_1057__b19047420783426">JKS</strong>, while the same password is used to protect the key store and private key of <strong id="mrs_01_1057__b18533466483426">PKCS12</strong>.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1057__r04cb369b769a4687ad804192aabc3666"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.1 "><p id="mrs_01_1057__a9b7394e53e3b48fe8dec364ae2fcf6db">truststore</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.2 "><p id="mrs_01_1057__a4560c61f1de2417e96ade3e96ba172ef">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.3 "><p id="mrs_01_1057__a8e1b8eea82f1453ea940116e35dd8018">Specifies the Java trust store file.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r4b992ff05e5144968d1d068da56b2f7a"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.1 "><p id="mrs_01_1057__a9db282713b084c338713828ead8dfb5a">truststore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.2 "><p id="mrs_01_1057__ab8e22d9757da455ab2f1754910974ac1">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.3 "><p id="mrs_01_1057__a2459525057004a37bb50fed0e6562a72">Specifies the Java trust store password.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r680f93efd7594aedbfcc8da97131e339"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.1 "><p id="mrs_01_1057__aaf9b37bb55284ca6afa139635164d36e">keystore-type</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.2 "><p id="mrs_01_1057__a0c06eeb9b38c46d9804573c6982f4f6f">JKS</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.3 "><p id="mrs_01_1057__aa1b7442e8a8342f5a8f5288cb3a55a75">Specifies the keystore type set after SSL is enabled, which can be set to <strong id="mrs_01_1057__b108040187383426">JKS</strong> or <strong id="mrs_01_1057__b191332046883426">PKCS12</strong>.</p>
+<div class="note" id="mrs_01_1057__note182081818744"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1057__p1320816186418">Different passwords are used to protect the key store and private key of <strong id="mrs_01_1057__b47704688283426">JKS</strong>, while the same password is used to protect the key store and private key of <strong id="mrs_01_1057__b72312632683426">PKCS12</strong>.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1057__rd06b65dff2bd417dbdd0f01d14baa096"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.1 "><p id="mrs_01_1057__a35566569d24f423d96082114a9742f34">keystore</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.2 "><p id="mrs_01_1057__a30acc40f7f8247ab8bdee80e01aa1efe">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.3 "><p id="mrs_01_1057__ae3f77ab21cb147c8a194f01a7638db04">Specifies the keystore file path set after SSL is enabled. This parameter is mandatory if SSL is enabled.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r9b070c98cfc248338246d498c69d88f0"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.1 "><p id="mrs_01_1057__ad3dbe6202a5f455d9ad3cc415ccd0dd4">keystore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.2 "><p id="mrs_01_1057__a107e3c4582404a43b412f40791a0053f">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.3 "><p id="mrs_01_1057__abfff81da095a44acb1fee946ea1ab96b">Specifies the keystore password set after SSL is enabled. This parameter is mandatory if SSL is enabled.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row0945142410574"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.1 "><p id="mrs_01_1057__p69451624175714">trust-all-certs</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.2 "><p id="mrs_01_1057__p0945162455719">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.3 "><p id="mrs_01_1057__p2945142435710">Specifies whether to disable the check for the SSL server certificate. If this parameter is set to <strong id="mrs_01_1057__b19083714883426">true</strong>, the SSL server certificate of the remote source is not checked. You are not advised to perform this operation during the production.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row7701329195718"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.1 "><p id="mrs_01_1057__p37032919576">exclude-protocols</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.2 "><p id="mrs_01_1057__p15710291576">SSLv3</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.3 "><p id="mrs_01_1057__p671182912578">Specifies the excluded protocols. The entered protocols must be separated by spaces. The default value is <strong id="mrs_01_1057__b194854190083426">SSLv3</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row17745103915573"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.1 "><p id="mrs_01_1057__p37451239175719">ipFilter</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.2 "><p id="mrs_01_1057__p1874514391579">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.3 "><p id="mrs_01_1057__p17457395572">Specifies whether to enable the IP address filtering.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row1789283515715"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.1 "><p id="mrs_01_1057__p138922355575">ipFilter.rules</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.2 "><p id="mrs_01_1057__p16892113516572">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.1.3.2.4.1.3 "><p id="mrs_01_1057__p4893163513573">Specifies the rules of <em id="mrs_01_1057__i23824206083426">N</em> network <strong id="mrs_01_1057__b19191482483426">ipFilters</strong>. Host names or IP addresses must be separated by commas (,). If this parameter is set to <strong id="mrs_01_1057__b114398373683426">true</strong>, there are two configuration rules: allow and forbidden. The configuration format is as follows:</p>
+<p id="mrs_01_1057__p18867820165917">ipFilterRules=allow:ip:127.*, allow:name:localhost, deny:ip:*</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1057__li013813318559"><strong id="mrs_01_1057__ac9c424600ab04646af22582ab2d82d7e">SpoolDir Source</strong><p id="mrs_01_1057__a28429d5d6dbb427289a42472ad23f341">SpoolDir Source monitors and transmits new files that have been added to directories in real-time mode. Common configurations are as follows:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1057__t16a0cd51a19b4f2ab365d0b052816eb7" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Common configurations of a Spooling Directory source</caption><thead align="left"><tr id="mrs_01_1057__raf994e9fce0144a9b26836c52ffcb98f"><th align="left" class="cellrowborder" valign="top" width="23.762376237623762%" id="mcps1.3.4.2.2.3.2.4.1.1"><p id="mrs_01_1057__a09006e56c7db4bcc97de415b3b14882e"><strong id="mrs_01_1057__b5585513134215">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.841584158415841%" id="mcps1.3.4.2.2.3.2.4.1.2"><p id="mrs_01_1057__aa7c2a0cb0b464506bc63862f6999d1b5"><strong id="mrs_01_1057__b1251217152421">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="60.396039603960396%" id="mcps1.3.4.2.2.3.2.4.1.3"><p id="mrs_01_1057__a761cd259b26743b3979907feb11f3403"><strong id="mrs_01_1057__b94174178426">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1057__r10841653a7a64922b678052e42ef19e9"><td class="cellrowborder" valign="top" width="23.762376237623762%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_1057__a78607b10afbc4317b9ab9ae4a092ca5f">channels</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.841584158415841%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_1057__a1d9c312bbfa4461d92a0d936a5b2da99">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_1057__ab24aa7875d38496daddb5dbb07b81779">Specifies the channel connected to the source. Multiple channels can be configured.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r2f086457954348eca50f25341262d845"><td class="cellrowborder" valign="top" width="23.762376237623762%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_1057__aa97a565f83344dbb88714a308835819e">type</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.841584158415841%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_1057__acd545f02cc5b478a808a6738fcb039c6">spooldir</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_1057__a5c5c3279e69d41c9822343897610c47d">Specifies the type of the spooling source, which must be set to <strong id="mrs_01_1057__b172202128583426">spooldir</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__rdbbd91cb9590491db57d7e86663f2da3"><td class="cellrowborder" valign="top" width="23.762376237623762%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_1057__a6ac946a324cf4f62ad760a7fa34718d0">spoolDir</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.841584158415841%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_1057__a0cf40ad8cd214d4f9c96bb7411ce9794">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_1057__a6c23ed65fd854a6f92b0094a12617c01">Specifies the monitoring directory of the Spooldir source. A Flume running user must have the read, write, and execution permissions on the directory.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row18720143417352"><td class="cellrowborder" valign="top" width="23.762376237623762%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_1057__p8720193416357">monTime</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.841584158415841%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_1057__p1072023419354">0 (Disabled)</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_1057__p1720183419357">Specifies the thread monitoring threshold. When the update time exceeds the threshold, the source is restarted. Unit: second</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__ra492f95853f94679ad0a97190873aeb8"><td class="cellrowborder" valign="top" width="23.762376237623762%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_1057__ac8527fce9d9143b0ab14df00175b3720">fileSuffix</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.841584158415841%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_1057__a8aabb7b615a54298b3e24a32e6908827">.COMPLETED</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_1057__aa876e4e8e22d474b901fb3de808ed84e">Specifies the suffix added after file transmission is complete.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__rb6c7ec51372249d1967968ce48d07d7d"><td class="cellrowborder" valign="top" width="23.762376237623762%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_1057__a57cd886945ae41fca2c781ff9a180156">deletePolicy</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.841584158415841%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_1057__abf6b931a518946f6b39c5b6761520ddc">never</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_1057__addf91cc9a674401e9776485a38ce03fa">Specifies the source file deletion policy after file transmission is complete. The value can be either <span class="parmvalue" id="mrs_01_1057__parmvalue162244369583426"><b>never</b></span> or <span class="parmvalue" id="mrs_01_1057__parmvalue90446531383426"><b>immediate</b></span>. <strong id="mrs_01_1057__b9360444183426">never</strong> indicates that the source file is not deleted after file transmission is complete, while <strong id="mrs_01_1057__b168270952083426">immediate</strong> indicates that the source file is immediately deleted after file transmission is complete.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r3eeb30e4962f41ae980a7e9905a47670"><td class="cellrowborder" valign="top" width="23.762376237623762%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_1057__a840ec6050825477086fbd0c8bf3e3444">ignorePattern</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.841584158415841%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_1057__a2144c60f545148d3aef8646c8ff40a8e">^$</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_1057__a9803fac235554daf87dd61335e0634a4">Specifies the regular expression of a file to be ignored. The default value is ^$, indicating that spaces are ignored.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row19642163713362"><td class="cellrowborder" valign="top" width="23.762376237623762%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_1057__p11642837113616">includePattern</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.841584158415841%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_1057__p176422377366">^.*$</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_1057__p36421437153617">Specifies the regular expression that contains a file. This parameter can be used together with <strong id="mrs_01_1057__b153222064783426">ignorePattern</strong>. If a file meets both <strong id="mrs_01_1057__b101569758483426">ignorePattern</strong> and <strong id="mrs_01_1057__b136201249983426">includePattern</strong>, the file is ignored. In addition, when a file starts with a period (.), the file will not be filtered.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r28eacacf2ab547108202d360a6dd39a9"><td class="cellrowborder" valign="top" width="23.762376237623762%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_1057__a226037187a6c4030ac8ce17fc2ed9e56">trackerDir</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.841584158415841%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_1057__a21bda95907b94264a1865c09cfee4c10">.flumespool</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_1057__a0a807364e84f4a36ae72a37587f411f9">Specifies the metadata storage path during data transmission.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r3f49fcc45b224b7abd07ce4cdf44016d"><td class="cellrowborder" valign="top" width="23.762376237623762%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_1057__a1370dec8b7134708bf1ec9bae0ada2dc">batchSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.841584158415841%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_1057__a5f36d0290a68406ab424d920e3a2da3a">1000</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_1057__af8d4f4db13d945aeb1524fa7552332b8">Specifies the number of events written to the channel in batches.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r1a2c586434114f7b95189ae364f5f712"><td class="cellrowborder" valign="top" width="23.762376237623762%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_1057__en-us_topic_0060028843_p688206214381">decodeErrorPolicy</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.841584158415841%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_1057__a4db35182b489435eb351b435a66795f1">FAIL</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_1057__a94f41983c1be4ab48c766ddf36678183">Specifies the code error policy.</p>
+<div class="note" id="mrs_01_1057__nba94c72da179479993a056a5e3f7f23e"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1057__a272a75631d284e18a1425a4ec9e71354">If a code error occurs in the file, set <strong id="mrs_01_1057__b119509873783426">decodeErrorPolicy</strong> to <strong id="mrs_01_1057__b157219064683426">REPLACE</strong> or <strong id="mrs_01_1057__b42151378083426">IGNORE</strong>. Flume will skip the code error and continue to collect subsequent logs.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1057__rfd442053fa8f49eb8f4d8ea25f75ec72"><td class="cellrowborder" valign="top" width="23.762376237623762%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_1057__ab987729ef6864b3590fff1b8d3bfed90">deserializer</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.841584158415841%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_1057__af16f89960cde4fb69b8432d6a1cd0c9c">LINE</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_1057__acd8b26174fed45f7b7dfa836dfe84666">Specifies the file parser. The value can be either <span class="parmvalue" id="mrs_01_1057__parmvalue183040104383426"><b>LINE</b></span> or <span class="parmvalue" id="mrs_01_1057__parmvalue114598824983426"><b>BufferedLine</b></span>.</p>
+<ul id="mrs_01_1057__ufb74b112d8f7434aa08c1c21d21bc603"><li id="mrs_01_1057__l29d69fea44e14d4f97a6dd40b5f7e719">When the value is set to <span class="parmname" id="mrs_01_1057__pfa1c7b85feac4d5ea22656d77f99a4ce"><b>LINE</b></span>, characters read from the file are transcoded one by one.</li><li id="mrs_01_1057__la4e8e0f695ab4877af9f74ec54817be8">When the value is set to <span class="parmvalue" id="mrs_01_1057__p04d0f6394bda49b19afaf99974b38378"><b>BufferedLine</b></span>, one line or multiple lines of characters read from the file are transcoded in batches, which delivers better performance.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_1057__r89e63974a8e146d9a48b92c9bfe01583"><td class="cellrowborder" valign="top" width="23.762376237623762%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_1057__ab415a78aabbe43bfa5ab6e3de5330403">deserializer.maxLineLength</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.841584158415841%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_1057__a79bcaf9184534b2682f24fa72850046b">2048</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_1057__a7745303a574f42ea92b4710ece0b4004">Specifies the maximum length for resolution by line.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__re7e8c40b84de4113b20191ed2ead56aa"><td class="cellrowborder" valign="top" width="23.762376237623762%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_1057__a29f63feb7d184caca58baaa7011328d5">deserializer.maxBatchLine</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.841584158415841%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_1057__a0ac7d6b047664d90884fa2e21bd0671e">1</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_1057__aa3f1f41e35bc4b50b03ba838874c7ff9">Specifies the maximum number of lines for resolution by line. If multiple lines are set, <strong id="mrs_01_1057__b191931074483426">maxLineLength</strong> must be set to a corresponding multiplier.</p>
+<div class="note" id="mrs_01_1057__note945811130181"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1057__p1145841315188">When configuring the Interceptor, take the multi-line combination into consideration to avoid data loss. If the Interceptor cannot process combined lines, set this parameter to <strong id="mrs_01_1057__b92848609583426">1</strong>.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1057__r9111f22c82504124908cd6f6d1873d2d"><td class="cellrowborder" valign="top" width="23.762376237623762%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_1057__a30454b4c856843b3b6f96eed5eb2bba5">selector.type</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.841584158415841%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_1057__ae931e4ab733e428495be9de8f4fe2955">replicating</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_1057__a471c52dfca624cb5810c2e141a158e1d">Specifies the selector type. The value can be either <strong id="mrs_01_1057__b169152235183426">replicating</strong> or <strong id="mrs_01_1057__b80439917183426">multiplexing</strong>. <strong id="mrs_01_1057__b31188220983426">replicating</strong> indicates that data is replicated and then transferred to each channel so that each channel receives the same data, while <strong id="mrs_01_1057__b189132604583426">multiplexing</strong> indicates that a channel is selected based on the value of the header in the event and each channel has different data.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__ra03fa819d289475d81e51ea0cac37f5c"><td class="cellrowborder" valign="top" width="23.762376237623762%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_1057__a5cb34004637543168e7646b0389b6606">interceptors</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.841584158415841%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_1057__afbbb38c6c9b143a4bd1bd1924c4f700d">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_1057__a5fe51bc0a7054ea89c92d4c2ecf67193">Specifies the interceptor. Multiple interceptors are separated by spaces.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row0943537415"><td class="cellrowborder" valign="top" width="23.762376237623762%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_1057__p19436371715">inputCharset</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.841584158415841%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_1057__p1394373711116">UTF-8</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_1057__p11943173718115">Specifies the encoding format of a read file. The encoding format must be the same as that of the data source file that has been read. Otherwise, an error may occur during character parsing.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row2043065510116"><td class="cellrowborder" valign="top" width="23.762376237623762%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_1057__p184313557115">fileHeader</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.841584158415841%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_1057__p1431755812">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_1057__p543115551515">Specifies whether to add the file name (including the file path) to the event header.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row1925071114119"><td class="cellrowborder" valign="top" width="23.762376237623762%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_1057__p1725011115115">fileHeaderKey</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.841584158415841%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_1057__p3250411151117">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_1057__p112502113119">Specifies that the data storage structure in header is set in the &lt;key,value&gt; mode. Parameters <strong id="mrs_01_1057__b185155615983426">fileHeaderKey</strong> and <strong id="mrs_01_1057__b156912978483426">fileHeader</strong> must be used together. Following is an example if <strong id="mrs_01_1057__b160812866083426">fileHeader</strong> is set to true:</p>
+<p id="mrs_01_1057__p119871736121420">Define <strong id="mrs_01_1057__b155181355883426">fileHeaderKey</strong> as <strong id="mrs_01_1057__b177218454183426">file</strong>. When the <strong id="mrs_01_1057__b19903623083426">/root/a.txt</strong> file is read, <strong id="mrs_01_1057__b158618685483426">fileHeaderKey</strong> exists in the header in the <strong id="mrs_01_1057__b194629055483426">file=/root/a.txt</strong> format.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row1658010471113"><td class="cellrowborder" valign="top" width="23.762376237623762%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_1057__p05803474113">basenameHeader</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.841584158415841%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_1057__p165807471113">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_1057__p9580134712119">Specifies whether to add the file name (excluding the file path) to the event header.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row103840445112"><td class="cellrowborder" valign="top" width="23.762376237623762%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_1057__p203842442118">basenameHeaderKey</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.841584158415841%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_1057__p1238417441513">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_1057__p1538424412113">Specifies that the data storage structure in header is set in the &lt;key,value&gt; mode. Parameters <strong id="mrs_01_1057__b1616214783426">basenameHeaderKey</strong> and <strong id="mrs_01_1057__b22617115483426">basenameHeader</strong> must be used together. Following is an example if <strong id="mrs_01_1057__b69826703883426">basenameHeader</strong> is set to <strong id="mrs_01_1057__b1963551252816">true</strong>:</p>
+<p id="mrs_01_1057__p17693138237">Define <strong id="mrs_01_1057__b85183505083426">basenameHeaderKey</strong> as <strong id="mrs_01_1057__b28880772283426">file</strong>. When the <strong id="mrs_01_1057__b196684849283426">a.txt</strong> file is read, <strong id="mrs_01_1057__b173961650883426">fileHeaderKey</strong> exists in the header in the <strong id="mrs_01_1057__b204982375283426">file=a.txt</strong> format.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row534515235579"><td class="cellrowborder" valign="top" width="23.762376237623762%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_1057__p5345623105714">pollDelay</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.841584158415841%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_1057__p14345112355716">500</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_1057__p4345192335718">Specifies the delay for polling new files in the monitoring directory. Unit: milliseconds</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row14047517585"><td class="cellrowborder" valign="top" width="23.762376237623762%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_1057__p8404551145811">recursiveDirectorySearch</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.841584158415841%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_1057__p440405111580">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_1057__p9404125118584">Specifies whether to monitor new files in the subdirectory of the configured directory.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row988510231724"><td class="cellrowborder" valign="top" width="23.762376237623762%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_1057__p588512238214">consumeOrder</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.841584158415841%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_1057__p28856231217">oldest</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_1057__p11458113316109">Specifies the consumption order of files in a directory. If this parameter is set to <strong id="mrs_01_1057__b56399363983426">oldest</strong> or <strong id="mrs_01_1057__b58298633083426">youngest</strong>, the sequence of files to be read is determined by the last modification time of files in the monitored directory. If there are a large number of files in the directory, it takes a long time to search for <strong id="mrs_01_1057__b75199325083426">oldest</strong> or <strong id="mrs_01_1057__b84939087483426">youngest</strong> files. If this parameter is set to <strong id="mrs_01_1057__b191872703483426">random</strong>, an earlier created file may not be read for a long time. If this parameter is set to <strong id="mrs_01_1057__b171479486483426">oldest</strong> or <strong id="mrs_01_1057__b104852675683426">youngest</strong>, it takes a long time to find the latest and the earliest file. The options are as follows: <strong id="mrs_01_1057__b3572998983426">random</strong>, <strong id="mrs_01_1057__b166722789683426">youngest</strong>, and <strong id="mrs_01_1057__b126233215183426">oldest</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row1137013303218"><td class="cellrowborder" valign="top" width="23.762376237623762%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_1057__p437010308220">maxBackoff</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.841584158415841%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_1057__p43709303213">4000</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_1057__p12937182617123">Specifies the maximum time to wait between consecutive attempts to write to a channel if the channel is full. If the time exceeds the threshold, an exception is thrown. The corresponding source starts to write at a smaller time value. Each time the source attempts, the digital exponent increases until the current specified value is reached. If data cannot be written, the data write fails. Unit: second</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row16503146184410"><td class="cellrowborder" valign="top" width="23.762376237623762%" headers="mcps1.3.4.2.2.3.2.4.1.1 "><p id="mrs_01_1057__p750384619444">emptyFileEvent</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.841584158415841%" headers="mcps1.3.4.2.2.3.2.4.1.2 "><p id="mrs_01_1057__p14503194604413">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.4.2.2.3.2.4.1.3 "><p id="mrs_01_1057__p9503174624416">Specifies whether to collect empty file information and send it to the sink end. The default value is <strong id="mrs_01_1057__b72658188507">true</strong>, indicating that empty file information is sent to the sink end. This parameter is valid only for HDFS Sink. Taking HDFS Sink as an example, if this parameter is set to <strong id="mrs_01_1057__b1176019853518">true</strong> and an empty file exists in the <strong id="mrs_01_1057__b742712317357">spoolDir</strong> directory, an empty file with the same name will be created in the <strong id="mrs_01_1057__b89871141183516">hdfs.path</strong> directory of HDFS.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_1057__n20fa1aea246942df8c7647a800763a66"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1057__abd9de4dee16741028489d1fd2ba29505">SpoolDir Source ignores the last line feed character of each event when data is reading by row. Therefore, Flume does not calculate the data volume counters used by the last line feed character.</p>
+</div></div>
+</li><li id="mrs_01_1057__li12138103205510"><strong id="mrs_01_1057__aaa18a576caa54b569fc49919eb009723">Kafka Source</strong><p id="mrs_01_1057__afe7d8ba24428419ab407f53da4c85d0a">A Kafka source consumes data from Kafka topics. Multiple sources can consume data of the same topic, and the sources consume different partitions of the topic. Common configurations are as follows:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1057__t2287b6e8bf704efdb30748f9c037df9d" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Common configurations of a Kafka source</caption><thead align="left"><tr id="mrs_01_1057__r749fcd7e86b941c59cdec1e010ded76b"><th align="left" class="cellrowborder" valign="top" width="22%" id="mcps1.3.4.2.3.3.2.4.1.1"><p id="mrs_01_1057__af7338c0dc463411aa0002dcf89fb1df1"><strong id="mrs_01_1057__b12309045184514">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.4.2.3.3.2.4.1.2"><p id="mrs_01_1057__a15ccd352410444de9c8597ec77d98c91"><strong id="mrs_01_1057__b1323414712459">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="48%" id="mcps1.3.4.2.3.3.2.4.1.3"><p id="mrs_01_1057__a705a1f6b6f8e4c94b0845d07b309240b"><strong id="mrs_01_1057__b10960114874515">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1057__r269c18b9dd2a4f05939c8e9a4bc919bb"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_1057__a36d78f7839c648e4bca9e6e4555b833f">channels</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_1057__a842ba2d0b8134a849ecb8c90bf99a0b2">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="48%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_1057__a54c2a067143c42dcad519f48908d05e0">Specifies the channel connected to the source. Multiple channels can be configured.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r01aa197c0bce405e9d9ec9946d6e5dab"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_1057__a51874860f9fc435f8c1d7cbf010b8fe0">type</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_1057__a8e4f1606d6f84734b5b12ba5ffe0d441">org.apache.flume.source.kafka.KafkaSource</p>
+</td>
+<td class="cellrowborder" valign="top" width="48%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_1057__abbd2e007bcd7465cacd08612178a4a36">Specifies the type of the Kafka source, which must be set to <strong id="mrs_01_1057__b164975379083426">org.apache.flume.source.kafka.KafkaSource</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row9566161513427"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_1057__p8113152394210">kafka.bootstrap.servers</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_1057__p356618157421">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="48%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_1057__p3566191517422">Specifies the bootstrap address port list of Kafka. If Kafka has been installed in the cluster and the configuration has been synchronized to the server, you do not need to set this parameter on the server. The default value is the list of all brokers in the Kafka cluster. This parameter must be configured on the client. Use commas (,) to separate multiple values of <em id="mrs_01_1057__i53354907383426">IP address:Port number</em>. The rules for matching ports and security protocols must be as follows: port 21007 matches the security mode (SASL_PLAINTEXT), and port 9092 matches the common mode (PLAINTEXT).</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r979b69109015440cb7a79020ea8a732d"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_1057__p16808182210439">kafka.topics</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_1057__p4808722144314">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="48%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_1057__p16808152244312">Specifies the list of subscribed Kafka topics, which are separated by commas (,).</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row18120205020426"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_1057__p1812015013424">kafka.topics.regex</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_1057__p413617501422">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="48%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_1057__p791363864420">Specifies the subscribed topics that comply with regular expressions. <strong id="mrs_01_1057__b111573693083426">kafka.topics.regex</strong> has a higher priority than <strong id="mrs_01_1057__b58187905383426">kafka.topics</strong> and will overwrite <strong id="mrs_01_1057__b146496576483426">kafka.topics</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row494106174214"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_1057__p131042315435">monTime</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_1057__p199417614220">0 (Disabled)</p>
+</td>
+<td class="cellrowborder" valign="top" width="48%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_1057__p1594113611426">Specifies the thread monitoring threshold. When the update time exceeds the threshold, the source is restarted. Unit: second</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r91924fcbf2af4966b622dc41f1e03259"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_1057__ac8a6f967b8734ddc92ea68c476be2678">nodatatime</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_1057__a6867e95025194195acfa084743611d71">0 (Disabled)</p>
+</td>
+<td class="cellrowborder" valign="top" width="48%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_1057__ae6a4367d3215432cb585a019dc867b3f">Specifies the alarm threshold. An alarm is triggered when the duration that Kafka does not release data to subscribers exceeds the threshold. Unit: second This parameter can be configured in the <strong id="mrs_01_1057__b54793092883426">properties.properties</strong> file.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r0abbb103ee6e4df2b799cf26e136950a"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_1057__a5e1cf78bb7f34a0e9c976e8ce71c7a43">batchSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_1057__a830da1504ec24ecf80b7f428a354d150">1000</p>
+</td>
+<td class="cellrowborder" valign="top" width="48%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_1057__abaa5070e0b7c489798b1aaed9adee380">Specifies the number of events written to the channel in batches.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r9d24bddd3f52441fbab97e783ff84129"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_1057__acf92ec4a4e934a8b907dd5e81f7f76c8">batchDurationMillis</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_1057__ad6e925a97bc248c5addf9d48450a6657">1000</p>
+</td>
+<td class="cellrowborder" valign="top" width="48%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_1057__a1dca0a4cbef24ce3a27cc69ee6302fda">Specifies the maximum duration of topic data consumption at a time, expressed in milliseconds.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r97247b889fc54dc083d3c20d36c9b958"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_1057__aea7caaf1c8d64963b6f5a849091aeb44">keepTopicInHeader</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_1057__a4a2a33d1ba6d426580debfa7fa6ac72a">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="48%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_1057__a1d3d587556c240068e933cc996bed7e3">Specifies whether to save topics in the event header. If the parameter value is <strong id="mrs_01_1057__b176480106283426">true</strong>, topics configured in Kafka Sink become invalid.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row20632584215"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_1057__p863211819220">setTopicHeader</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_1057__p8632148523">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="48%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_1057__p25181116315">If this parameter is set to <strong id="mrs_01_1057__b169242622083426">true</strong>, the topic name defined in <strong id="mrs_01_1057__b197554332183426">topicHeader</strong> is stored in the header.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row129761612622"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_1057__p39766122219">topicHeader</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_1057__p6976111216211">topic</p>
+</td>
+<td class="cellrowborder" valign="top" width="48%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_1057__p17758202317247">When <strong id="mrs_01_1057__b3537408883426">setTopicHeader</strong> is set to <strong id="mrs_01_1057__b19139907883426">true</strong>, this parameter specifies the name of the topic received by the storage device. If the property is used with that of Kafka Sink <strong id="mrs_01_1057__b69683014483426">topicHeader</strong>, be careful not to send messages to the same topic cyclically.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row43625134508"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_1057__p203621132501">useFlumeEventFormat</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_1057__p163624138505">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="48%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_1057__p1136231325013">By default, an event is transferred from a Kafka topic to the body of the event in the form of bytes. If this parameter is set to <strong id="mrs_01_1057__b26391961083426">true</strong>, the Avro binary format of Flume is used to read events. When used together with the <strong id="mrs_01_1057__b40840414083426">parseAsFlumeEvent</strong> parameter with the same name in KafkaSink or KakfaChannel, any set <strong id="mrs_01_1057__b112343113083426">header</strong> generated from the data source is retained.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__ra648b26d0c014d8c82e50e81727120f8"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_1057__abfd6af5866ec46ccb10ab6e46d99021c">keepPartitionInHeader</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_1057__ae8c7bff9f4a9439bb3a911f73ae630f3">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="48%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_1057__a847c4ceaaac448a9acd1cbcc78364045">Specifies whether to save partition IDs in the event header. If the parameter value is <strong id="mrs_01_1057__b177152382683426">true</strong>, Kafka Sink writes data to the corresponding partition.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__ra5abd57ec92046f2aaeb0db2eebfd421"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_1057__a8e02782b5d854f5d9d9f04ba78155390">kafka.consumer.group.id</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_1057__a8c576b15c5e6439c9c7e0b106ab8c1e3">flume</p>
+</td>
+<td class="cellrowborder" valign="top" width="48%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_1057__affcc1091bfb44631983995d3c89304a3">Specifies the Kafka consumer group ID. Sources or proxies having the same ID are in the same consumer group.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r38b9817d2b8c44ccafa7da122b57f8a0"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_1057__a9e4fe5c7c0cc4835a9d5dfd742b6ea06">kafka.security.protocol</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_1057__a6dfc86be44eb457693041a6c2bc367e1">SASL_PLAINTEXT</p>
+</td>
+<td class="cellrowborder" valign="top" width="48%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_1057__a5997c4f58ca742ca8390567c5ce4d70d">Specifies the Kafka security protocol. The parameter value must be set to PLAINTEXT in a common cluster. The rules for matching ports and security protocols must be as follows: port 21007 matches the security mode (SASL_PLAINTEXT), and port 9092 matches the common mode (PLAINTEXT).</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__re7c7b1c43ce942d2b337942498b14628"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.4.2.3.3.2.4.1.1 "><p id="mrs_01_1057__a1a65a955895b4ed78a143d34a6e7c405">Other Kafka Consumer Properties</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.3.2.4.1.2 "><p id="mrs_01_1057__aec51be29906046b4875063693606267a">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="48%" headers="mcps1.3.4.2.3.3.2.4.1.3 "><p id="mrs_01_1057__a4b8858f0342f4ac6b20ed9495bf4380f">Specifies other Kafka configurations. This parameter can be set to any consumption configuration supported by Kafka, and the <strong id="mrs_01_1057__b10188485383426">.kafka</strong> prefix must be added to the configuration.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1057__li16138031559"><strong id="mrs_01_1057__aa8856643575d4eb69bf8dd8086081e9f">Taildir Source</strong><p id="mrs_01_1057__a387335d8b10b4f509b043c6762fc0df7">A Taildir source monitors file changes in a directory and automatically reads the file content. In addition, it can transmit data in real time. Common configurations are as follows:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1057__tbb417e2e019049fe8d2b6fb323b865a2" frame="border" border="1" rules="all"><caption><b>Table 4 </b>Common configurations of a Taildir source</caption><thead align="left"><tr id="mrs_01_1057__rd0092d0cb04a498999d027b473cc4327"><th align="left" class="cellrowborder" valign="top" width="32%" id="mcps1.3.4.2.4.3.2.4.1.1"><p id="mrs_01_1057__a1438f58d9f904e18930b3b01be9aba37">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15%" id="mcps1.3.4.2.4.3.2.4.1.2"><p id="mrs_01_1057__a195020aeba9944df98dd2779cf13154c">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="53%" id="mcps1.3.4.2.4.3.2.4.1.3"><p id="mrs_01_1057__ae4e8c8dffd3341d8941c7c066eca80e4">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1057__r3d1ce0202ac8449b93740a99681f11c3"><td class="cellrowborder" valign="top" width="32%" headers="mcps1.3.4.2.4.3.2.4.1.1 "><p id="mrs_01_1057__a8da8feb0b2834a76b121e7f7c1d2537f">channels</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.4.2.4.3.2.4.1.2 "><p id="mrs_01_1057__p117689216325">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="53%" headers="mcps1.3.4.2.4.3.2.4.1.3 "><p id="mrs_01_1057__a840dbdd17a03402096c6962a67ba775c">Specifies the channel connected to the source. Multiple channels can be configured.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r15ee24d0c51942deae15edf6508a4d38"><td class="cellrowborder" valign="top" width="32%" headers="mcps1.3.4.2.4.3.2.4.1.1 "><p id="mrs_01_1057__a7f954777701543fdb4f936034b77ec4b">type</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.4.2.4.3.2.4.1.2 "><p id="mrs_01_1057__a3bce6a4ba8db4c58a8475fef380bd8a1">TAILDIR</p>
+</td>
+<td class="cellrowborder" valign="top" width="53%" headers="mcps1.3.4.2.4.3.2.4.1.3 "><p id="mrs_01_1057__a0fd4e8c9bdea4f4189c89bfcfe0bac35">Specifies the type of the taildir source, which must be set to TAILDIR.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r286357fde59647ab97876df9d3f63731"><td class="cellrowborder" valign="top" width="32%" headers="mcps1.3.4.2.4.3.2.4.1.1 "><p id="mrs_01_1057__a28da9fca404748b09855f8d5111c4c2b">filegroups</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.4.2.4.3.2.4.1.2 "><p id="mrs_01_1057__acc291377de9f4e5e9093010e7e7256dd">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="53%" headers="mcps1.3.4.2.4.3.2.4.1.3 "><p id="mrs_01_1057__a7a4c11d84c5d4c6c83707714d6f5560b">Specifies the group name of a collection file directory. Group names are separated by spaces.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r50ca3cd4a6384e78a321b84a8e9cc3a5"><td class="cellrowborder" valign="top" width="32%" headers="mcps1.3.4.2.4.3.2.4.1.1 "><p id="mrs_01_1057__a62ab203955564d298d9d3cb131b886bc">filegroups.&lt;filegroupName&gt;.parentDir</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.4.2.4.3.2.4.1.2 "><p id="mrs_01_1057__afb19f878cf444e34837717fea5f19f0a">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="53%" headers="mcps1.3.4.2.4.3.2.4.1.3 "><p id="mrs_01_1057__ab5125dd6607449dd93a7b7e1bffe9ed8">Specifies the parent directory. The value must be an absolute path.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r5cc153a79c754fbaa9b57e6daf9d49e2"><td class="cellrowborder" valign="top" width="32%" headers="mcps1.3.4.2.4.3.2.4.1.1 "><p id="mrs_01_1057__a9387062998614158bbafa8e454885105">filegroups.&lt;filegroupName&gt;.filePattern</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.4.2.4.3.2.4.1.2 "><p id="mrs_01_1057__a326a0e7805b6419da26ef26a85f5234b">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="53%" headers="mcps1.3.4.2.4.3.2.4.1.3 "><p id="mrs_01_1057__a2d1b84e535f5448e921f0c99ff4a51ff">Specifies the relative file path of the file group's parent directory. Directories can be included and regular expressions are supported. It must be used together with <strong id="mrs_01_1057__b150715668683426">parentDir</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r637a6321ef054deaacb238cd0e9b6bf0"><td class="cellrowborder" valign="top" width="32%" headers="mcps1.3.4.2.4.3.2.4.1.1 "><p id="mrs_01_1057__a31668900aed84076a19ebcbe9a193738">positionFile</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.4.2.4.3.2.4.1.2 "><p id="mrs_01_1057__a1742f93fc79e46179eded7c7d4c74831">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="53%" headers="mcps1.3.4.2.4.3.2.4.1.3 "><p id="mrs_01_1057__a9c438fbbf43647e186dd57286549edaa">Specifies the metadata storage path during data transmission.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r08f1841ff09a49069634d11351717f8e"><td class="cellrowborder" valign="top" width="32%" headers="mcps1.3.4.2.4.3.2.4.1.1 "><p id="mrs_01_1057__a1c012e665a244156aefe9e2b04668342">headers.&lt;filegroupName&gt;.&lt;headerKey&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.4.2.4.3.2.4.1.2 "><p id="mrs_01_1057__a23406ae08e1047af8bdabfde67ecdb21">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="53%" headers="mcps1.3.4.2.4.3.2.4.1.3 "><p id="mrs_01_1057__a24144fda26ac487db327dfaa0e2de518">Specifies the key-value of an event when data of a group is being collected.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__rb622a2bf54c340b596d4e44b12dc13f8"><td class="cellrowborder" valign="top" width="32%" headers="mcps1.3.4.2.4.3.2.4.1.1 "><p id="mrs_01_1057__a89e48f2a5b5d4ddbbbd7cad03a5bee0d">byteOffsetHeader</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.4.2.4.3.2.4.1.2 "><p id="mrs_01_1057__acf3d631372f3443e93d3e013a6eb5006">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="53%" headers="mcps1.3.4.2.4.3.2.4.1.3 "><p id="mrs_01_1057__a4136af32c8ae4f9e95e2bcabdbe768d0">Specifies whether each event header contains the event location information in the source file. If the parameter value is true, the location information is saved in the byteoffset variable.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row232422614223"><td class="cellrowborder" valign="top" width="32%" headers="mcps1.3.4.2.4.3.2.4.1.1 "><p id="mrs_01_1057__p6324152642210">maxBatchCount</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.4.2.4.3.2.4.1.2 "><p id="mrs_01_1057__p53241326112215">Long.MAX_VALUE</p>
+</td>
+<td class="cellrowborder" valign="top" width="53%" headers="mcps1.3.4.2.4.3.2.4.1.3 "><p id="mrs_01_1057__p14324826122214">Specifies the maximum number of batches that can be consecutively read from a file. If the monitored directory reads multiple files consecutively and one of the files is written at a rapid rate, other files may fail to be processed. This is because the file that is written at a high speed will be in an infinite read loop. In this case, set this parameter to a smaller value.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r3a403892318a48888f65fa6a66eb8305"><td class="cellrowborder" valign="top" width="32%" headers="mcps1.3.4.2.4.3.2.4.1.1 "><p id="mrs_01_1057__a6d6187acac0240d7922b8bc6a7a24f90">skipToEnd</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.4.2.4.3.2.4.1.2 "><p id="mrs_01_1057__afc98397984b84c2a838658a92834999a">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="53%" headers="mcps1.3.4.2.4.3.2.4.1.3 "><p id="mrs_01_1057__a80ca4118352648a8a19a261b07f5c18b">Specifies whether Flume can locate the latest location of a file and read the latest data after restart. If the parameter value is true, Flume locates and reads the latest file data after restart.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__rdf893d71bc2f40b29ca3690a75bb43f3"><td class="cellrowborder" valign="top" width="32%" headers="mcps1.3.4.2.4.3.2.4.1.1 "><p id="mrs_01_1057__af6f07f0c75a2439d8e58af353937a447">idleTimeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.4.2.4.3.2.4.1.2 "><p id="mrs_01_1057__a2fb3e3d146b3439199e2c3f9db8da335">120000</p>
+</td>
+<td class="cellrowborder" valign="top" width="53%" headers="mcps1.3.4.2.4.3.2.4.1.3 "><p id="mrs_01_1057__a1936b32949544e0e870919d68ec27c7b">Specifies the idle duration during file reading, expressed in milliseconds. If file content is not changed in the preset time duration, close the file. If data is written to this file after the file is closed, open the file and read data.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r066a7e7962e14f9abebc034332b96201"><td class="cellrowborder" valign="top" width="32%" headers="mcps1.3.4.2.4.3.2.4.1.1 "><p id="mrs_01_1057__a67c687a66230433f840ba6f93c61a00c">writePosInterval</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.4.2.4.3.2.4.1.2 "><p id="mrs_01_1057__a1f162a2f9cb141efbf30b024805f2035">3000</p>
+</td>
+<td class="cellrowborder" valign="top" width="53%" headers="mcps1.3.4.2.4.3.2.4.1.3 "><p id="mrs_01_1057__ab188fd9ccc54441bb45832e3d3fc85d1">Specifies the interval for writing metadata to a file, expressed in milliseconds.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__rc50a1c311139436b802c9cd73507daf9"><td class="cellrowborder" valign="top" width="32%" headers="mcps1.3.4.2.4.3.2.4.1.1 "><p id="mrs_01_1057__a2056d08c9873454b8392fa4931dea1e8">batchSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.4.2.4.3.2.4.1.2 "><p id="mrs_01_1057__abaaede32439e43cd8f0ceb513f16bb23">1000</p>
+</td>
+<td class="cellrowborder" valign="top" width="53%" headers="mcps1.3.4.2.4.3.2.4.1.3 "><p id="mrs_01_1057__ac5ba8b08a69f4c40bbbe5d5a4b3f5f77">Specifies the number of events written to the channel in batches.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r155be08849da4bb592b8117d4a9e2290"><td class="cellrowborder" valign="top" width="32%" headers="mcps1.3.4.2.4.3.2.4.1.1 "><p id="mrs_01_1057__abe2aa9f2d7ac42dd93a1c1a0ca845b04"><span id="mrs_01_1057__p0d1f5491ff54406c87d56085d1eb8cac">monTime</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.4.2.4.3.2.4.1.2 "><p id="mrs_01_1057__a4cd6cac5f9ef413aacfa5c0ec594051e"><span id="mrs_01_1057__pbf0d9962a8964cbf8f033597941d4abb">0 (Disabled)</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="53%" headers="mcps1.3.4.2.4.3.2.4.1.3 "><p id="mrs_01_1057__a0eba08b13d614443978638ba07c56355"><span id="mrs_01_1057__pe8231ae439914fee9dddebbfecdb461e">Specifies the thread monitoring threshold. When the update time exceeds the threshold, the source is restarted. Unit: second</span></p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row1421359182714"><td class="cellrowborder" valign="top" width="32%" headers="mcps1.3.4.2.4.3.2.4.1.1 "><p id="mrs_01_1057__p821320952716">fileHeader</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.4.2.4.3.2.4.1.2 "><p id="mrs_01_1057__p172132902717">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="53%" headers="mcps1.3.4.2.4.3.2.4.1.3 "><p id="mrs_01_1057__p5213139102718">Specifies whether to add the file name (including the file path) to the event header.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row3560181211272"><td class="cellrowborder" valign="top" width="32%" headers="mcps1.3.4.2.4.3.2.4.1.1 "><p id="mrs_01_1057__p1456016122278">fileHeaderKey</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.4.2.4.3.2.4.1.2 "><p id="mrs_01_1057__p2560181212715">file</p>
+</td>
+<td class="cellrowborder" valign="top" width="53%" headers="mcps1.3.4.2.4.3.2.4.1.3 "><p id="mrs_01_1057__p6560121252719">Specifies that the data storage structure in header is set in the &lt;key,value&gt; mode. Parameters <strong id="mrs_01_1057__b61950205583426">fileHeaderKey</strong> and <strong id="mrs_01_1057__b123255705783426">fileHeader</strong> must be used together. Following is an example if <strong id="mrs_01_1057__b9373727083426">fileHeader</strong> is set to true:</p>
+<p id="mrs_01_1057__p66407587279">Define <strong id="mrs_01_1057__b2528689583426">fileHeaderKey</strong> as <strong id="mrs_01_1057__b74367483383426">file</strong>. When the <strong id="mrs_01_1057__b100935183983426">/root/a.txt</strong> file is read, <strong id="mrs_01_1057__b201551022583426">fileHeaderKey</strong> exists in the header in the <strong id="mrs_01_1057__b200355215483426">file=/root/a.txt</strong> format.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1057__li5138123155511"><strong id="mrs_01_1057__a54b8ca2f71444169ae1511d1831aa1f6">Http Source</strong><p id="mrs_01_1057__ac94f310b74024ce387c7c38d75207fa2">An HTTP source receives data from an external HTTP client and sends the data to the configured channels. Common configurations are as follows:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1057__t73c7efc7a9c84a7e8d16bd63372e3174" frame="border" border="1" rules="all"><caption><b>Table 5 </b>Common configurations of an HTTP source</caption><thead align="left"><tr id="mrs_01_1057__r0d21767b573c4a34852c6eadd9799b9e"><th align="left" class="cellrowborder" valign="top" width="19%" id="mcps1.3.4.2.5.3.2.4.1.1"><p id="mrs_01_1057__aab73742c4cc14775b53c11e9f402954a">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="34%" id="mcps1.3.4.2.5.3.2.4.1.2"><p id="mrs_01_1057__a2d0e610b7e894a32bead970dd8a47a38">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="47%" id="mcps1.3.4.2.5.3.2.4.1.3"><p id="mrs_01_1057__a28df82fa16c84c838ea2aefb1430d2d1">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1057__r6850e9fb32284d66b34d728de8e213b2"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.4.2.5.3.2.4.1.1 "><p id="mrs_01_1057__ae3a8aa196de546e4ba5f96a920f65d96">channels</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.4.2.5.3.2.4.1.2 "><p id="mrs_01_1057__a0c74356d7ecd4c92b88bf67ebaedf17a">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="47%" headers="mcps1.3.4.2.5.3.2.4.1.3 "><p id="mrs_01_1057__a085684642f0948f6aa1a22fdc9ab5546">Specifies the channel connected to the source. Multiple channels can be configured.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__ra12e1199c50a4260bcf670162eb7f3fc"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.4.2.5.3.2.4.1.1 "><p id="mrs_01_1057__a9f970050f0c748718fc6ea229d619ef0">type</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.4.2.5.3.2.4.1.2 "><p id="mrs_01_1057__a4e16b76a02874733960b3065958e10a5">http</p>
+</td>
+<td class="cellrowborder" valign="top" width="47%" headers="mcps1.3.4.2.5.3.2.4.1.3 "><p id="mrs_01_1057__a0bc3edd5647741b2967f7b610aac550c">Specifies the type of the http source, which must be set to http.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r13d356231d224f518fe3128f438a1a55"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.4.2.5.3.2.4.1.1 "><p id="mrs_01_1057__a07c9d3ac643343cb898c829308e048b6">bind</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.4.2.5.3.2.4.1.2 "><p id="mrs_01_1057__a7e59a3944b0f46ebabe4eaaa6528c76b">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="47%" headers="mcps1.3.4.2.5.3.2.4.1.3 "><p id="mrs_01_1057__abfa5c60f6cfd47be81c7d982038ed024">Specifies the listening host name/IP address.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__rbf328ccbba224fb58c68106b49f96d78"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.4.2.5.3.2.4.1.1 "><p id="mrs_01_1057__aa22a885ac7b64bc6a3d59d1a6f6619de">port</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.4.2.5.3.2.4.1.2 "><p id="mrs_01_1057__a54dec8689c34496b9d04f405d7326b82">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="47%" headers="mcps1.3.4.2.5.3.2.4.1.3 "><p id="mrs_01_1057__a06ef5906293641cbbaadf4cc271e52fc">Specifies the bound listening port. Ensure that this port is not occupied.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__rcab6ed70f3364411b4052b8e6ddaddd4"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.4.2.5.3.2.4.1.1 "><p id="mrs_01_1057__ab70f0c97cb654253acd9768f4c275944">handler</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.4.2.5.3.2.4.1.2 "><p id="mrs_01_1057__aeb3e4a6a5df843b6bacc1b9a3e568fcd">org.apache.flume.source.http.JSONHandler</p>
+</td>
+<td class="cellrowborder" valign="top" width="47%" headers="mcps1.3.4.2.5.3.2.4.1.3 "><p id="mrs_01_1057__ae1bbe1967cd249b0a6f95c6835670fdc">Specifies the message parsing method of an HTTP request. Two formats are supported: JSON (org.apache.flume.source.http.JSONHandler) and BLOB (org.apache.flume.sink.solr.morphline.BlobHandler).</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r5c5ed6217c0e42caa84497126d2f3a04"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.4.2.5.3.2.4.1.1 "><p id="mrs_01_1057__a946d674f344c4cd3983f012bec1b8465">handler.*</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.4.2.5.3.2.4.1.2 "><p id="mrs_01_1057__a24f7c539a7874cd99fd6b1a016157f6b">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="47%" headers="mcps1.3.4.2.5.3.2.4.1.3 "><p id="mrs_01_1057__a4c7088d69ef9442ba9b723cb7aa4bd77">Specifies handler parameters.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row102071516122911"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.4.2.5.3.2.4.1.1 "><p id="mrs_01_1057__p920711162295">exclude-protocols</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.4.2.5.3.2.4.1.2 "><p id="mrs_01_1057__p10207141613298">SSLv3</p>
+</td>
+<td class="cellrowborder" valign="top" width="47%" headers="mcps1.3.4.2.5.3.2.4.1.3 "><p id="mrs_01_1057__p1620841620292">Specifies the excluded protocols. The entered protocols must be separated by spaces. The default value is <strong id="mrs_01_1057__b198334438083426">SSLv3</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row48157185288"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.4.2.5.3.2.4.1.1 "><p id="mrs_01_1057__p1581551832819">include-cipher-suites</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.4.2.5.3.2.4.1.2 "><p id="mrs_01_1057__p9815201813287">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="47%" headers="mcps1.3.4.2.5.3.2.4.1.3 "><p id="mrs_01_1057__p12815818102820">Specifies the included protocols. The entered protocols must be separated by spaces. If this parameter is left empty, all protocols are supported by default.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__re395027768c0479fa038a176fe547729"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.4.2.5.3.2.4.1.1 "><p id="mrs_01_1057__adcde1c122a9d4d438198cd5178b33cd6">enableSSL</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.4.2.5.3.2.4.1.2 "><p id="mrs_01_1057__affcf38366a454da286889e0ea460f8fb">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="47%" headers="mcps1.3.4.2.5.3.2.4.1.3 "><p id="mrs_01_1057__a5d63d0e12b9b453aaed04ac519b7ff34">Specifies whether SSL is enabled in HTTP. If this parameter is set to <strong id="mrs_01_1057__b162339877883426">true</strong>, the values of <strong id="mrs_01_1057__b131556402183426">keystore</strong> and <strong id="mrs_01_1057__b47882405983426">keystore-password</strong> must be specified.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row1534671285"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.4.2.5.3.2.4.1.1 "><p id="mrs_01_1057__p03457102811">keystore-type</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.4.2.5.3.2.4.1.2 "><p id="mrs_01_1057__p93416762819">JKS</p>
+</td>
+<td class="cellrowborder" valign="top" width="47%" headers="mcps1.3.4.2.5.3.2.4.1.3 "><p id="mrs_01_1057__p63419714281">Specifies the keystore type, which can be <strong id="mrs_01_1057__b174969743483426">JKS</strong> or <strong id="mrs_01_1057__b139873985483426">PKCS12</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r2e91ff5647e743f993de6320596a202a"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.4.2.5.3.2.4.1.1 "><p id="mrs_01_1057__a912b3f59188548808de3044eac89fa73">keystore</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.4.2.5.3.2.4.1.2 "><p id="mrs_01_1057__a998c5b60c818442987668b52a51a1c11">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="47%" headers="mcps1.3.4.2.5.3.2.4.1.3 "><p id="mrs_01_1057__aa7bc7aeda8b74001b9fc9893fbad43c0">Specifies the keystore path set after SSL is enabled in HTTP.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r6bbb40f3c9384fcb9184899da1bf4e65"><td class="cellrowborder" valign="top" width="19%" headers="mcps1.3.4.2.5.3.2.4.1.1 "><p id="mrs_01_1057__acfb2c7c717b04c778107beb43d4090b9">keystorePassword</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.4.2.5.3.2.4.1.2 "><p id="mrs_01_1057__aa2e5da6f49204b6c948c9d1661c1b8a0">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="47%" headers="mcps1.3.4.2.5.3.2.4.1.3 "><p id="mrs_01_1057__aff0ccdf411a14aa1a1085b72fb13dd4f">Specifies the keystore password set after SSL is enabled in HTTP.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1057__li1713823115511"><strong id="mrs_01_1057__b56469198161222">Thrift Source</strong><p id="mrs_01_1057__p42422902161214">Thrift Source monitors the thrift port, receives data from the external Thrift clients, and puts the data into the configured channel. Common configurations are as follows:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1057__table20207940161425" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1057__row30612512161425"><th align="left" class="cellrowborder" valign="top" width="18%" id="mcps1.3.4.2.6.3.1.4.1.1"><p id="mrs_01_1057__p63694394161425"><strong id="mrs_01_1057__b1387119220523">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="13%" id="mcps1.3.4.2.6.3.1.4.1.2"><p id="mrs_01_1057__p60988738161425"><strong id="mrs_01_1057__b1188492516528">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="69%" id="mcps1.3.4.2.6.3.1.4.1.3"><p id="mrs_01_1057__p34722604161425"><strong id="mrs_01_1057__b1429214282522">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1057__row12737284161425"><td class="cellrowborder" valign="top" width="18%" headers="mcps1.3.4.2.6.3.1.4.1.1 "><p id="mrs_01_1057__p25087064161425">channels</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.4.2.6.3.1.4.1.2 "><p id="mrs_01_1057__p18786297161425">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="69%" headers="mcps1.3.4.2.6.3.1.4.1.3 "><p id="mrs_01_1057__p5002303161425">Specifies the channel connected to the source. Multiple channels can be configured.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row45020735161425"><td class="cellrowborder" valign="top" width="18%" headers="mcps1.3.4.2.6.3.1.4.1.1 "><p id="mrs_01_1057__p22800950161425">type</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.4.2.6.3.1.4.1.2 "><p id="mrs_01_1057__p34937624161425">thrift</p>
+</td>
+<td class="cellrowborder" valign="top" width="69%" headers="mcps1.3.4.2.6.3.1.4.1.3 "><p id="mrs_01_1057__p11375311161425">Specifies the type of the thrift source, which must be set to <strong id="mrs_01_1057__b3145792283426">thrift</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row35268942161425"><td class="cellrowborder" valign="top" width="18%" headers="mcps1.3.4.2.6.3.1.4.1.1 "><p id="mrs_01_1057__p38212063161425">bind</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.4.2.6.3.1.4.1.2 "><p id="mrs_01_1057__p8169400161425">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="69%" headers="mcps1.3.4.2.6.3.1.4.1.3 "><p id="mrs_01_1057__p57741698161425">Specifies the listening host name/IP address.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row49913241161425"><td class="cellrowborder" valign="top" width="18%" headers="mcps1.3.4.2.6.3.1.4.1.1 "><p id="mrs_01_1057__p16440719161425">port</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.4.2.6.3.1.4.1.2 "><p id="mrs_01_1057__p56629833161425">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="69%" headers="mcps1.3.4.2.6.3.1.4.1.3 "><p id="mrs_01_1057__p23613743161425">Specifies the bound listening port. Ensure that this port is not occupied.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row98011148183419"><td class="cellrowborder" valign="top" width="18%" headers="mcps1.3.4.2.6.3.1.4.1.1 "><p id="mrs_01_1057__p16801848113420">threads</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.4.2.6.3.1.4.1.2 "><p id="mrs_01_1057__p188019483348">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="69%" headers="mcps1.3.4.2.6.3.1.4.1.3 "><p id="mrs_01_1057__p1480114483346">Specifies the maximum number of worker threads that can be run.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row4561361516169"><td class="cellrowborder" valign="top" width="18%" headers="mcps1.3.4.2.6.3.1.4.1.1 "><p id="mrs_01_1057__p371532516169">kerberos</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.4.2.6.3.1.4.1.2 "><p id="mrs_01_1057__p3250591216169">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="69%" headers="mcps1.3.4.2.6.3.1.4.1.3 "><p id="mrs_01_1057__p1573319116169">Specifies whether Kerberos authentication is enabled.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row4565360116170"><td class="cellrowborder" valign="top" width="18%" headers="mcps1.3.4.2.6.3.1.4.1.1 "><p id="mrs_01_1057__p695417016170">agent-keytab</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.4.2.6.3.1.4.1.2 "><p id="mrs_01_1057__p2641685916170">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="69%" headers="mcps1.3.4.2.6.3.1.4.1.3 "><p id="mrs_01_1057__p5939082916170">Specifies the address of the keytab file used by the server. The machine-machine account must be used. You are advised to use <strong id="mrs_01_1057__b135396398183426">flume/conf/flume_server.keytab</strong> in the Flume service installation directory.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row51871017161736"><td class="cellrowborder" valign="top" width="18%" headers="mcps1.3.4.2.6.3.1.4.1.1 "><p id="mrs_01_1057__p40802862161736">agent-principal</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.4.2.6.3.1.4.1.2 "><p id="mrs_01_1057__p16697511161736">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="69%" headers="mcps1.3.4.2.6.3.1.4.1.3 "><p id="mrs_01_1057__p10321149161736">Specifies the principal of the security user used by the server. The principal must be a machine-machine account. You are advised to use the default user of Flume: flume_server/hadoop.<em id="mrs_01_1057__i125463832683426">&lt;system domain name&gt;</em>@<em id="mrs_01_1057__i200572562783426">&lt;system domain name&gt;</em></p>
+<div class="note" id="mrs_01_1057__note99337274019"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1057__p12687105414566"><strong id="mrs_01_1057__b175643571883426">flume_server/hadoop.</strong>&lt;<em id="mrs_01_1057__i37744016283426">system domain name</em>&gt; is the username. All letters in the system domain name contained in the username are lowercase letters. For example, <strong id="mrs_01_1057__b24998413783426">Local Domain</strong> is set to <strong id="mrs_01_1057__b23341424683426">9427068F-6EFA-4833-B43E-60CB641E5B6C.COM</strong>, and the username is <strong id="mrs_01_1057__b207787924983426">flume_server/hadoop.9427068f-6efa-4833-b43e-60cb641e5b6c.com</strong>.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1057__row2484907216186"><td class="cellrowborder" valign="top" width="18%" headers="mcps1.3.4.2.6.3.1.4.1.1 "><p id="mrs_01_1057__p6661783916186">compression-type</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.4.2.6.3.1.4.1.2 "><p id="mrs_01_1057__p2733587416186">none</p>
+</td>
+<td class="cellrowborder" valign="top" width="69%" headers="mcps1.3.4.2.6.3.1.4.1.3 "><p id="mrs_01_1057__p6672219416186">Specifies the message compression format, which can be set to <strong id="mrs_01_1057__b186605846183426">none</strong> or <strong id="mrs_01_1057__b169585493983426">deflate</strong>. <strong id="mrs_01_1057__b20000305083426">none</strong> indicates that data is not compressed, while <strong id="mrs_01_1057__b39327371483426">deflate</strong> indicates that data is compressed.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row11197103161425"><td class="cellrowborder" valign="top" width="18%" headers="mcps1.3.4.2.6.3.1.4.1.1 "><p id="mrs_01_1057__p34550147161425">ssl</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.4.2.6.3.1.4.1.2 "><p id="mrs_01_1057__p47098552161425">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="69%" headers="mcps1.3.4.2.6.3.1.4.1.3 "><p id="mrs_01_1057__p56886390161425">Specifies whether to use SSL encryption. If this parameter is set to <strong id="mrs_01_1057__b51728539283426">true</strong>, the values of <strong id="mrs_01_1057__b155846308783426">keystore</strong> and <strong id="mrs_01_1057__b72568416583426">keystore-password</strong> must be specified.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row37503994161425"><td class="cellrowborder" valign="top" width="18%" headers="mcps1.3.4.2.6.3.1.4.1.1 "><p id="mrs_01_1057__p17924686161425">keystore-type</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.4.2.6.3.1.4.1.2 "><p id="mrs_01_1057__p42613425161425">JKS</p>
+</td>
+<td class="cellrowborder" valign="top" width="69%" headers="mcps1.3.4.2.6.3.1.4.1.3 "><p id="mrs_01_1057__p29135438161425">Specifies the keystore type set after SSL is enabled.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row60892353161425"><td class="cellrowborder" valign="top" width="18%" headers="mcps1.3.4.2.6.3.1.4.1.1 "><p id="mrs_01_1057__p33333541161425">keystore</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.4.2.6.3.1.4.1.2 "><p id="mrs_01_1057__p15662294161425">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="69%" headers="mcps1.3.4.2.6.3.1.4.1.3 "><p id="mrs_01_1057__p60686267161425">Specifies the keystore file path set after SSL is enabled. This parameter is mandatory if SSL is enabled.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row9305492161425"><td class="cellrowborder" valign="top" width="18%" headers="mcps1.3.4.2.6.3.1.4.1.1 "><p id="mrs_01_1057__p15547427161425">keystore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="13%" headers="mcps1.3.4.2.6.3.1.4.1.2 "><p id="mrs_01_1057__p51382107161425">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="69%" headers="mcps1.3.4.2.6.3.1.4.1.3 "><p id="mrs_01_1057__p1201123161425">Specifies the keystore password set after SSL is enabled. This parameter is mandatory if SSL is enabled.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1057__sc14c26b989d9442a9d0b73e7f46bd7fb"><h4 class="sectiontitle">Common Channel Configurations</h4><ul id="mrs_01_1057__ul8360111685512"><li id="mrs_01_1057__li7360141615516"><strong id="mrs_01_1057__a7f62e802cdae4a7e87157fb3accbd2b5">Memory Channel</strong><p id="mrs_01_1057__a1e5fe4892d2b44efa976df973861352e">A memory channel uses memory as the cache. Events are stored in memory queues. Common configurations are as follows:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1057__ta4811e2f582341e9b32d6186b4c41d41" frame="border" border="1" rules="all"><caption><b>Table 6 </b>Common configurations of a memory channel</caption><thead align="left"><tr id="mrs_01_1057__r46e255c1b11845d3819033303562fd1c"><th align="left" class="cellrowborder" valign="top" width="33.333333333333336%" id="mcps1.3.5.2.1.3.2.4.1.1"><p id="mrs_01_1057__ad5ab23e4f0b44895b22039b8f3d02e8b"><strong id="mrs_01_1057__b118051532185613">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.29332933293329%" id="mcps1.3.5.2.1.3.2.4.1.2"><p id="mrs_01_1057__abb79dd6c0dfc46b492ece7d5c1bcac07"><strong id="mrs_01_1057__b268615346562">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.373337333733375%" id="mcps1.3.5.2.1.3.2.4.1.3"><p id="mrs_01_1057__abda647d2640044a78e57cbd55eef9b92"><strong id="mrs_01_1057__b14530136125615">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1057__rcd1cbcc08101442aac974d696198cfaa"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.5.2.1.3.2.4.1.1 "><p id="mrs_01_1057__a891d0be10aac4391864adfa6d1aa77cd">type</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.29332933293329%" headers="mcps1.3.5.2.1.3.2.4.1.2 "><p id="mrs_01_1057__ab7ff9b98d72e40ce946dfcfc1960d48e">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.373337333733375%" headers="mcps1.3.5.2.1.3.2.4.1.3 "><p id="mrs_01_1057__a29a674e1c3244ec5b45026ab7385f643">Specifies the type of the memory channel, which must be set to <strong id="mrs_01_1057__b986200583426">memory</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r50786cb8b83f49a8ae857763fde43bb3"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.5.2.1.3.2.4.1.1 "><p id="mrs_01_1057__a236530deb183450c82c0d2defd852208">capacity</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.29332933293329%" headers="mcps1.3.5.2.1.3.2.4.1.2 "><p id="mrs_01_1057__aefd8aa6554e14bae98fcfcab2815d8e7">10000</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.373337333733375%" headers="mcps1.3.5.2.1.3.2.4.1.3 "><p id="mrs_01_1057__acd085880b91840229e1d0c7a3e3dfc32">Specifies the maximum number of events cached in a channel.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__rb9401de41a85444795098b83b993cc68"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.5.2.1.3.2.4.1.1 "><p id="mrs_01_1057__a650eaa81e4294f96abbd6c7381435ede">transactionCapacity</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.29332933293329%" headers="mcps1.3.5.2.1.3.2.4.1.2 "><p id="mrs_01_1057__a9c222b3fa4cc49589aaf5e179ac877dd">1000</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.373337333733375%" headers="mcps1.3.5.2.1.3.2.4.1.3 "><p id="mrs_01_1057__ae5739a61fd7548fba1385454cbb25b1c">Specifies the maximum number of events accessed each time.</p>
+<div class="note" id="mrs_01_1057__note1247870114914"><span class="notetitle"> NOTE: </span><div class="notebody"><ul id="mrs_01_1057__ul1678019312589"><li id="mrs_01_1057__li87807320581">The parameter value must be greater than the batchSize of the source and sink.</li><li id="mrs_01_1057__li57801138582">The value of <strong id="mrs_01_1057__b79635230283426">transactionCapacity</strong> must be less than or equal to that of <strong id="mrs_01_1057__b68643604383426">capacity</strong>.</li></ul>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1057__r8a0a3e88a73d4d11acf4a6fe76da3e96"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.5.2.1.3.2.4.1.1 "><p id="mrs_01_1057__ab6a136c6d116431a858719905dacb3f3">channelfullcount</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.29332933293329%" headers="mcps1.3.5.2.1.3.2.4.1.2 "><p id="mrs_01_1057__aaf0fe6ecc52247a5a281a03d19ab24e9">10</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.373337333733375%" headers="mcps1.3.5.2.1.3.2.4.1.3 "><p id="mrs_01_1057__a68bdcf5b6cba43bd9d6898f3e86820d6">Specifies the channel full count. When the count reaches the threshold, an alarm is reported.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row76132300380"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.5.2.1.3.2.4.1.1 "><p id="mrs_01_1057__p146141530113817">keep-alive</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.29332933293329%" headers="mcps1.3.5.2.1.3.2.4.1.2 "><p id="mrs_01_1057__p1161463018382">3</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.373337333733375%" headers="mcps1.3.5.2.1.3.2.4.1.3 "><p id="mrs_01_1057__p16614173017387">Specifies the waiting time of the Put and Take threads when the transaction or channel cache is full. Unit: second</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row555093210147"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.5.2.1.3.2.4.1.1 "><p id="mrs_01_1057__p15550032161412">byteCapacity</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.29332933293329%" headers="mcps1.3.5.2.1.3.2.4.1.2 "><p id="mrs_01_1057__p1255013323141">80% of the maximum JVM memory</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.373337333733375%" headers="mcps1.3.5.2.1.3.2.4.1.3 "><p id="mrs_01_1057__p45503325148">Specifies the total bytes of all event bodies in a channel. The default value is the 80% of the maximum JVM memory (indicated by <strong id="mrs_01_1057__b86543242283426">-Xmx</strong>). Unit: bytes</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row93738371146"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.5.2.1.3.2.4.1.1 "><p id="mrs_01_1057__p20373537151416">byteCapacityBufferPercentage</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.29332933293329%" headers="mcps1.3.5.2.1.3.2.4.1.2 "><p id="mrs_01_1057__p737303711415">20</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.373337333733375%" headers="mcps1.3.5.2.1.3.2.4.1.3 "><p id="mrs_01_1057__p03731037101417">Specifies the percentage of bytes in a channel (%).</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1057__li1136091665511"><strong id="mrs_01_1057__a436c7040192545b0840270535359da5a">File Channel</strong><p id="mrs_01_1057__a4d83d7abb344442293d3b9cbf32e5a60">A file channel uses local disks as the cache. Events are stored in the folder specified by <strong id="mrs_01_1057__b52669584183426">dataDirs</strong>. Common configurations are as follows:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1057__tb84706ba6071498faaa6620bc5dff70f" frame="border" border="1" rules="all"><caption><b>Table 7 </b>Common configurations of a file channel</caption><thead align="left"><tr id="mrs_01_1057__r023bc6a6b63647b6902d568ccddee0b2"><th align="left" class="cellrowborder" valign="top" width="22%" id="mcps1.3.5.2.2.3.2.4.1.1"><p id="mrs_01_1057__a7f73b61ab11648179bfbf8a4b91cff45"><strong id="mrs_01_1057__b201104580118">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="45%" id="mcps1.3.5.2.2.3.2.4.1.2"><p id="mrs_01_1057__a7013c1e1b0a04d79905681c439ebfe03"><strong id="mrs_01_1057__b15699131539">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33%" id="mcps1.3.5.2.2.3.2.4.1.3"><p id="mrs_01_1057__a5fe1f35a9aa242baaad1b21e43e5a551"><strong id="mrs_01_1057__b1275840314">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1057__r153670b2d5eb499ba71e6e9fe9f7b03b"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.5.2.2.3.2.4.1.1 "><p id="mrs_01_1057__a9ca0aea47e004313b670dcb86d1391be">type</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.5.2.2.3.2.4.1.2 "><p id="mrs_01_1057__a46dcf3cd70ca457fbb1a806f888dd3df">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.5.2.2.3.2.4.1.3 "><p id="mrs_01_1057__a7e3575bc4dba4553be4f98a6498b1ab9">Specifies the type of the file channel, which must be set to <strong id="mrs_01_1057__b82345510883426">file</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__re9c627e1cb134e0dbac2974301e5e076"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.5.2.2.3.2.4.1.1 "><p id="mrs_01_1057__a946948a13a2a4b75a2778b839ce2e5d3">checkpointDir</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.5.2.2.3.2.4.1.2 "><p id="mrs_01_1057__a60ba8796bb95489f81b6e2e0602b4a4c">${BIGDATA_DATA_HOME}/hadoop/data1~N/flume/checkpoint</p>
+<div class="note" id="mrs_01_1057__nab2549baef0544ee89281d7d1b60a422"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1057__afb60466505ea4f58b4e3a4b1e31060be">This path is changed with the custom data path.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.5.2.2.3.2.4.1.3 "><p id="mrs_01_1057__a794007017af445acb5b6fe8c27eb4cf4">Specifies the checkpoint storage directory.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__rb87f01a2112e4dad9996a2ef2daca864"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.5.2.2.3.2.4.1.1 "><p id="mrs_01_1057__ade81ccbb3753460e929502118290cc4d">dataDirs</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.5.2.2.3.2.4.1.2 "><p id="mrs_01_1057__a00cb0d90d4e64e4c968c03ad0e8fad2f">${BIGDATA_DATA_HOME}/hadoop/data1~N/flume/data</p>
+<div class="note" id="mrs_01_1057__n7191eaea870447fb8b51e93ebeaae960"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1057__a2621f34d5fe746f9b2f49e0c246eba87">This path is changed with the custom data path.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.5.2.2.3.2.4.1.3 "><p id="mrs_01_1057__aaf97cd0fabef4b83a5e9cc3c2e8efd72">Specifies the data cache directory. Multiple directories can be configured to improve performance. The directories are separated by commas (,).</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__rb87288ec95b64ddca9b45e2888e9ff06"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.5.2.2.3.2.4.1.1 "><p id="mrs_01_1057__a3b9e92064bf547f6ad63c6d554413cfe">maxFileSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.5.2.2.3.2.4.1.2 "><p id="mrs_01_1057__ae7f60abf824347a7a6bcbfaa87fbb130">2146435071</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.5.2.2.3.2.4.1.3 "><p id="mrs_01_1057__af62e4a437c6d4a4cb054c8ee0b4e99b7">Specifies the maximum size of a single cache file, expressed in bytes.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r570d665fe11e401abf8a69a0e805951b"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.5.2.2.3.2.4.1.1 "><p id="mrs_01_1057__ac061cfb1bf8c41b8be1370eba2f7abe7">minimumRequiredSpace</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.5.2.2.3.2.4.1.2 "><p id="mrs_01_1057__a6d1a6eb4a4984105be1d106a109c86f8">524288000</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.5.2.2.3.2.4.1.3 "><p id="mrs_01_1057__adb7dadb14b064cad9b6e62c5f0223d5e">Specifies the minimum idle space in the cache, expressed in bytes.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r038f651f5230459d9f06879f2d8417c5"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.5.2.2.3.2.4.1.1 "><p id="mrs_01_1057__a64960ee8d532405aaf018aefc0d1dcb3">capacity</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.5.2.2.3.2.4.1.2 "><p id="mrs_01_1057__a2b7c41ec13c149218bef54b14ca4bf9c">1000000</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.5.2.2.3.2.4.1.3 "><p id="mrs_01_1057__a976951360b514a34a11d2ae69c9175e0">Specifies the maximum number of events cached in a channel.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r676ca3e08b3748a9a596cd2615cc1621"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.5.2.2.3.2.4.1.1 "><p id="mrs_01_1057__aee70cee18c634a679b1f86b800fa5020">transactionCapacity</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.5.2.2.3.2.4.1.2 "><p id="mrs_01_1057__afda85b744be94be5904aa6b2dfa89631">10000</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.5.2.2.3.2.4.1.3 "><p id="mrs_01_1057__acdaef307ceeb4e87b539c2b45f67ce08">Specifies the maximum number of events accessed each time.</p>
+<div class="note" id="mrs_01_1057__note1264925375219"><span class="notetitle"> NOTE: </span><div class="notebody"><ul id="mrs_01_1057__ul953445210598"><li id="mrs_01_1057__li753445215913">The parameter value must be greater than the batchSize of the source and sink.</li><li id="mrs_01_1057__li1253435214595">The value of <strong id="mrs_01_1057__b143836344083426">transactionCapacity</strong> must be less than or equal to that of <strong id="mrs_01_1057__b149359240783426">capacity</strong>.</li></ul>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1057__r8d983af4c95c42e39e28101f21eee086"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.5.2.2.3.2.4.1.1 "><p id="mrs_01_1057__aea5f3ea31eb543dc927fb35914425104">channelfullcount</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.5.2.2.3.2.4.1.2 "><p id="mrs_01_1057__a279c0fdd53314ca59653a285f580d8cc">10</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.5.2.2.3.2.4.1.3 "><p id="mrs_01_1057__a36f89cc4aa7042e6a150cb2cbe5e6af7">Specifies the channel full count. When the count reaches the threshold, an alarm is reported.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row13208181110162"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.5.2.2.3.2.4.1.1 "><p id="mrs_01_1057__p1320817117161">useDualCheckpoints</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.5.2.2.3.2.4.1.2 "><p id="mrs_01_1057__p20208711201613">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.5.2.2.3.2.4.1.3 "><p id="mrs_01_1057__p32081911151611">Specifies the backup checkpoint. If this parameter is set to <strong id="mrs_01_1057__b17414582083426">true</strong>, the <strong id="mrs_01_1057__b11299840172814">backupCheckpointDir</strong> parameter value must be set.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row0989924151617"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.5.2.2.3.2.4.1.1 "><p id="mrs_01_1057__p298914245168">backupCheckpointDir</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.5.2.2.3.2.4.1.2 "><p id="mrs_01_1057__p698952412167">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.5.2.2.3.2.4.1.3 "><p id="mrs_01_1057__p698915242163">Specifies the path of the backup checkpoint.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row073183514162"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.5.2.2.3.2.4.1.1 "><p id="mrs_01_1057__p4731153515169">checkpointInterval</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.5.2.2.3.2.4.1.2 "><p id="mrs_01_1057__p97316354162">30000</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.5.2.2.3.2.4.1.3 "><p id="mrs_01_1057__p1673163511160">Specifies the check interval, expressed in seconds.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row1961203214163"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.5.2.2.3.2.4.1.1 "><p id="mrs_01_1057__p296173217169">keep-alive</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.5.2.2.3.2.4.1.2 "><p id="mrs_01_1057__p17961732131610">3</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.5.2.2.3.2.4.1.3 "><p id="mrs_01_1057__p18961132181610">Specifies the waiting time of the Put and Take threads when the transaction or channel cache is full. Unit: second</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row1297183011619"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.5.2.2.3.2.4.1.1 "><p id="mrs_01_1057__p1229733011163">use-log-replay-v1</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.5.2.2.3.2.4.1.2 "><p id="mrs_01_1057__p1329718307169">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.5.2.2.3.2.4.1.3 "><p id="mrs_01_1057__p19297143001618">Specifies whether to enable the old reply logic.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row1745127171611"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.5.2.2.3.2.4.1.1 "><p id="mrs_01_1057__p1474502721617">use-fast-replay</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.5.2.2.3.2.4.1.2 "><p id="mrs_01_1057__p274532716169">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.5.2.2.3.2.4.1.3 "><p id="mrs_01_1057__p6745142791615">Specifies whether to enable the queue reply.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row5706162121616"><td class="cellrowborder" valign="top" width="22%" headers="mcps1.3.5.2.2.3.2.4.1.1 "><p id="mrs_01_1057__p1670613219167">checkpointOnClose</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.5.2.2.3.2.4.1.2 "><p id="mrs_01_1057__p37062218167">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.5.2.2.3.2.4.1.3 "><p id="mrs_01_1057__p470616219162">Specifies that whether a checkpoint is created when a channel is disabled.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1057__li15360151625517"><strong id="mrs_01_1057__abca364fcada042e794c8b060de1561d6">Memory File Channel</strong><p id="mrs_01_1057__a76d7197d7856453492d24a428b135488">A memory file channel uses both memory and local disks as its cache and supports message persistence. It provides similar performance as a memory channel and better performance than a file channel. This channel is currently experimental and not recommended for use in production. The following table describes common configuration items: Common configurations are as follows:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1057__t18602ec38d47484a89f5016d53cfa026" frame="border" border="1" rules="all"><caption><b>Table 8 </b>Common configurations of a memory file channel</caption><thead align="left"><tr id="mrs_01_1057__rfec2a0f1f8a0416cac42c0d706891cae"><th align="left" class="cellrowborder" valign="top" width="22.222222222222225%" id="mcps1.3.5.2.3.3.2.4.1.1"><p id="mrs_01_1057__a80bb81de049e42ef9a356bf492e944f4"><strong id="mrs_01_1057__b195371128192912">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="24.242424242424242%" id="mcps1.3.5.2.3.3.2.4.1.2"><p id="mrs_01_1057__a4fbd123aa6de4348a83a467a24281b6d"><strong id="mrs_01_1057__b4440143015297">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="53.535353535353536%" id="mcps1.3.5.2.3.3.2.4.1.3"><p id="mrs_01_1057__a6b30fb9411ac4f75bff231ccd8564787"><strong id="mrs_01_1057__b121963324295">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1057__r81021611acb74711afa0d22f39417e0e"><td class="cellrowborder" valign="top" width="22.222222222222225%" headers="mcps1.3.5.2.3.3.2.4.1.1 "><p id="mrs_01_1057__a8fdd86642a244eef875955bb9e5a733d">type</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.242424242424242%" headers="mcps1.3.5.2.3.3.2.4.1.2 "><p id="mrs_01_1057__ac0ff7c49d31a4b559d417f66efbed2db">org.apache.flume.channel.MemoryFileChannel</p>
+</td>
+<td class="cellrowborder" valign="top" width="53.535353535353536%" headers="mcps1.3.5.2.3.3.2.4.1.3 "><p id="mrs_01_1057__a0f801ad4204f42c5a46b8aa81c55af27">Specifies the type of the memory file channel, which must be set to <span class="parmvalue" id="mrs_01_1057__paa4bc4a5c6044e50989928de88a83bf0"><b>org.apache.flume.channel.MemoryFileChannel</b></span>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r360d7b2a9c5b446788336d4304e74022"><td class="cellrowborder" valign="top" width="22.222222222222225%" headers="mcps1.3.5.2.3.3.2.4.1.1 "><p id="mrs_01_1057__adb4fddd29c124502ae8d6a481f72f976">capacity</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.242424242424242%" headers="mcps1.3.5.2.3.3.2.4.1.2 "><p id="mrs_01_1057__af8bb9767e200477bbded7595b5d76e0f">50000</p>
+</td>
+<td class="cellrowborder" valign="top" width="53.535353535353536%" headers="mcps1.3.5.2.3.3.2.4.1.3 "><p id="mrs_01_1057__a9af8ce5e2c9740a59a426d5b16f197c7">Specifies the maximum number of events cached in a channel.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__rf73d8c338949427aa59e251f0092dd85"><td class="cellrowborder" valign="top" width="22.222222222222225%" headers="mcps1.3.5.2.3.3.2.4.1.1 "><p id="mrs_01_1057__aba43c11423d347f8811f26bd710f40ed">transactionCapacity</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.242424242424242%" headers="mcps1.3.5.2.3.3.2.4.1.2 "><p id="mrs_01_1057__a4bbf772ea0424a9e811bf9efdd85be08">5000</p>
+</td>
+<td class="cellrowborder" valign="top" width="53.535353535353536%" headers="mcps1.3.5.2.3.3.2.4.1.3 "><p id="mrs_01_1057__a82ac2f34f4c849899ed569eabb942967">Specifies the maximum number of events processed by a transaction.</p>
+<div class="note" id="mrs_01_1057__n116670ff812c492abcbefb6d50045fac"><span class="notetitle"> NOTE: </span><div class="notebody"><ul id="mrs_01_1057__ul124366243511"><li id="mrs_01_1057__li843692420514">The parameter value must be greater than the batchSize of the source and sink.</li><li id="mrs_01_1057__li743682414511">The value of <strong id="mrs_01_1057__b94935121083426">transactionCapacity</strong> must be less than or equal to that of <strong id="mrs_01_1057__b4473621583426">capacity</strong>.</li></ul>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1057__rbd7141993eca48edbb9dd59ba2b8dc36"><td class="cellrowborder" valign="top" width="22.222222222222225%" headers="mcps1.3.5.2.3.3.2.4.1.1 "><p id="mrs_01_1057__a7a4c05903a58467ea586ac483c0e133b">subqueueByteCapacity</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.242424242424242%" headers="mcps1.3.5.2.3.3.2.4.1.2 "><p id="mrs_01_1057__a13f950189e6e42119673d0218e67344e">20971520</p>
+</td>
+<td class="cellrowborder" valign="top" width="53.535353535353536%" headers="mcps1.3.5.2.3.3.2.4.1.3 "><p id="mrs_01_1057__a73c16bc017d8468ab89415598b647663">Specifies the maximum size of events that can be stored in a subqueue, expressed in bytes.</p>
+<p id="mrs_01_1057__a6c94798e6a9244469c23ba1234a684a5">A memory file channel uses both queues and subqueues to cache data. Events are stored in a subqueue, and subqueues are stored in a queue.</p>
+<p id="mrs_01_1057__acd714981ed2b4753913af8fe80d37c13"><span class="parmname" id="mrs_01_1057__parmname198908327983426"><b>subqueueCapacity</b></span> and <span class="parmname" id="mrs_01_1057__parmname77730031483426"><b>subqueueInterval</b></span> determine the size of events that can be stored in a subqueue. <span class="parmname" id="mrs_01_1057__parmname145160848583426"><b>subqueueCapacity</b></span> specifies the capacity of a subqueue, and <span class="parmname" id="mrs_01_1057__parmname50232741183426"><b>subqueueInterval</b></span> specifies the duration that a subqueue can store events. Events in a subqueue are sent to the destination only after the subqueue reaches the upper limit of <span class="parmname" id="mrs_01_1057__parmname32643692283426"><b>subqueueCapacity</b></span> or <span class="parmname" id="mrs_01_1057__parmname40897675983426"><b>subqueueInterval</b></span>.</p>
+<div class="note" id="mrs_01_1057__nb8c8a46f4f6842728cb394abf1740974"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1057__aee2f8f3da1914c3aa9ee7ffdb37677b9">The value of <span class="parmname" id="mrs_01_1057__parmname166271452683426"><b>subqueueByteCapacity</b></span> must be greater than the number of events specified by <strong id="mrs_01_1057__b202978581283426">batchSize</strong>.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1057__rb84197779ba54d8c9b5c99572aab7aad"><td class="cellrowborder" valign="top" width="22.222222222222225%" headers="mcps1.3.5.2.3.3.2.4.1.1 "><p id="mrs_01_1057__a44c6a5263185401c80f1c0aa4c33c4fa">subqueueInterval</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.242424242424242%" headers="mcps1.3.5.2.3.3.2.4.1.2 "><p id="mrs_01_1057__a0191d6c2fa5f44339add6e49885872f6">2000</p>
+</td>
+<td class="cellrowborder" valign="top" width="53.535353535353536%" headers="mcps1.3.5.2.3.3.2.4.1.3 "><p id="mrs_01_1057__ad27266b5c019448282dd44d4d9e8fcc5">Specifies the maximum duration that a subqueue can store events, expressed in milliseconds.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r53de07b832cf4bdd8cd16ceead4a159a"><td class="cellrowborder" valign="top" width="22.222222222222225%" headers="mcps1.3.5.2.3.3.2.4.1.1 "><p id="mrs_01_1057__a6ddd81b7765c4ae99665df4ea56bfa20">keep-alive</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.242424242424242%" headers="mcps1.3.5.2.3.3.2.4.1.2 "><p id="mrs_01_1057__abaa267e6f5024d68b24792d9325b8a02">3</p>
+</td>
+<td class="cellrowborder" valign="top" width="53.535353535353536%" headers="mcps1.3.5.2.3.3.2.4.1.3 "><p id="mrs_01_1057__a043788120e5a4ed9a3b5fad8e526050d">Specifies the waiting time of the Put and Take threads when the transaction or channel cache is full.</p>
+<p id="mrs_01_1057__a825f469faa684b7f984f5e21df9b8a65">Unit: second</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__re8fe8c40a445480e9f8ee6b00a7a2b5c"><td class="cellrowborder" valign="top" width="22.222222222222225%" headers="mcps1.3.5.2.3.3.2.4.1.1 "><p id="mrs_01_1057__a0647a3030cf44e55b224dd2552156e8c">dataDir</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.242424242424242%" headers="mcps1.3.5.2.3.3.2.4.1.2 "><p id="mrs_01_1057__aa7b6c595861e4ab884eb697482219a58">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="53.535353535353536%" headers="mcps1.3.5.2.3.3.2.4.1.3 "><p id="mrs_01_1057__af40d3490ae614a9c89fcf405d1eb185c">Specifies the cache directory for local files.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__rb70870f15d7b4e7681d4e50290f62000"><td class="cellrowborder" valign="top" width="22.222222222222225%" headers="mcps1.3.5.2.3.3.2.4.1.1 "><p id="mrs_01_1057__a24ff1449b7444f669dceec9bd304105e">byteCapacity</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.242424242424242%" headers="mcps1.3.5.2.3.3.2.4.1.2 "><p id="mrs_01_1057__a7b00826f25b3481fb05f10293d168746">80% of the maximum JVM memory</p>
+</td>
+<td class="cellrowborder" valign="top" width="53.535353535353536%" headers="mcps1.3.5.2.3.3.2.4.1.3 "><p id="mrs_01_1057__a459c6d02b0b646129d0b10dbddf81db9">Specifies the channel cache capacity.</p>
+<p id="mrs_01_1057__afdeb320de0134b1e9beca9de177fb977">Unit: bytes</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r579f8f34db2f436893d10c50c4f83fff"><td class="cellrowborder" valign="top" width="22.222222222222225%" headers="mcps1.3.5.2.3.3.2.4.1.1 "><p id="mrs_01_1057__aeba813173d6a4f2ca2ffc4852e56e9d4">compression-type</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.242424242424242%" headers="mcps1.3.5.2.3.3.2.4.1.2 "><p id="mrs_01_1057__a215f0733c68347d8a34e1ba4787ec90e">None</p>
+</td>
+<td class="cellrowborder" valign="top" width="53.535353535353536%" headers="mcps1.3.5.2.3.3.2.4.1.3 "><p id="mrs_01_1057__a2e70027212d24ad2a86ce4d50fc68914">Specifies the message compression format, which can be set to <strong id="mrs_01_1057__b59211758383426">none</strong> or <strong id="mrs_01_1057__b167913892183426">deflate</strong>. <strong id="mrs_01_1057__b42596815483426">none</strong> indicates that data is not compressed, while <strong id="mrs_01_1057__b75185943883426">deflate</strong> indicates that data is compressed.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r2d845163d6774b5f829ce02a0cc0fe66"><td class="cellrowborder" valign="top" width="22.222222222222225%" headers="mcps1.3.5.2.3.3.2.4.1.1 "><p id="mrs_01_1057__a7d353cf8214a45789096c63182fdc1b3">channelfullcount</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.242424242424242%" headers="mcps1.3.5.2.3.3.2.4.1.2 "><p id="mrs_01_1057__a97875123255d478ba745ee3470321174">10</p>
+</td>
+<td class="cellrowborder" valign="top" width="53.535353535353536%" headers="mcps1.3.5.2.3.3.2.4.1.3 "><p id="mrs_01_1057__a8a7055b2f2b6487d9a2953b84a7ad6b3">Specifies the channel full count. When the count reaches the threshold, an alarm is reported.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1057__ad59f88d22b0848e3bb8a304f2d4e70ff">The following is a configuration example of a memory file channel:</p>
+<pre class="screen" id="mrs_01_1057__sc25a77aef8a0488088f107aaf7e3a276">server.channels.c1.type = org.apache.flume.channel.MemoryFileChannel
+server.channels.c1.dataDir = /opt/flume/mfdata
+server.channels.c1.subqueueByteCapacity = 20971520
+server.channels.c1.subqueueInterval=2000
+server.channels.c1.capacity = 500000
+server.channels.c1.transactionCapacity = 40000</pre>
+</li><li id="mrs_01_1057__li11360161620555"><strong id="mrs_01_1057__en-us_topic_0060028843_b416915881858">Kafka Channel</strong><div class="p" id="mrs_01_1057__aaf324ec35aa94f27a9de8acf84e76ae6">A Kafka channel uses a Kafka cluster as the cache. Kafka provides high availability and multiple copies to prevent data from being immediately consumed by sinks when Flume or Kafka Broker crashes.
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1057__t6dff8d95c67145b6a7a2433e77fb5df0" frame="border" border="1" rules="all"><caption><b>Table 9 </b>Common configurations of a Kafka channel</caption><thead align="left"><tr id="mrs_01_1057__rdddee9af6da84ad494db55f92f0d5ec3"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.5.2.4.2.1.2.4.1.1"><p id="mrs_01_1057__en-us_topic_0060028843_p201289915190"><strong id="mrs_01_1057__ab24de870143f4d34b4521768d21512e7">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.5.2.4.2.1.2.4.1.2"><p id="mrs_01_1057__a7640fa394e724c8c8f1700532f55312e"><strong id="mrs_01_1057__a84df341b9b044c9b841c671a031130cf">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.5.2.4.2.1.2.4.1.3"><p id="mrs_01_1057__a13ff09d15f1c47e685dd5f7863ff54e4"><strong id="mrs_01_1057__af3e74e7bc83d4580bc0081a862a4e584">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1057__rbb165a64fdfc47f0adc819ac7841aea5"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.1 "><p id="mrs_01_1057__aaf73a4f1599e4d839a9fb4909c6eee16">type</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.2 "><p id="mrs_01_1057__en-us_topic_0060028843_p287457515190">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.3 "><p id="mrs_01_1057__a4932d02e4a164e568e82f8ca002c618b">Specifies the type of the Kafka channel, which must be set to <span class="parmvalue" id="mrs_01_1057__p439e989c321f4d378bf74819d4967749"><b>org.apache.flume.channel.kafka.KafkaChannel</b></span>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r2431481a0076474b8ed5b1e576db2d8a"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.1 "><p id="mrs_01_1057__en-us_topic_0060028843_p88333915190">kafka.bootstrap.servers</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.2 "><p id="mrs_01_1057__en-us_topic_0060028843_p444164015190">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.3 "><p id="mrs_01_1057__p2915393113">Specifies the bootstrap address port list of Kafka.</p>
+<p id="mrs_01_1057__p4593822010">If Kafka has been installed in the cluster and the configuration has been synchronized to the server, you do not need to set this parameter on the server. The default value is the list of all brokers in the Kafka cluster. This parameter must be configured on the client. Use commas (,) to separate multiple values of <em id="mrs_01_1057__i162488740283426">IP address:Port number</em>. The rules for matching ports and security protocols must be as follows: port 21007 matches the security mode (SASL_PLAINTEXT), and port 9092 matches the common mode (PLAINTEXT).</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r3a9df9e6bacf4339b99738d4c75f9bd7"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.1 "><p id="mrs_01_1057__a4b2a823563d246f08a1a0584c1eaf229">kafka.topic</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.2 "><p id="mrs_01_1057__a36a1454d4511461bbb1060fc4c6a22ea">flume-channel</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.3 "><p id="mrs_01_1057__a08b9713c9d8e4f879e9e80bf71094d23">Specifies the Kafka topic used by the channel to cache data.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r456dbc5890e0498daf9a522ffa2ccd6a"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.1 "><p id="mrs_01_1057__a8afc4e18a9f64920bdd9e57e895e0c24">kafka.consumer.group.id</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.2 "><p id="mrs_01_1057__afec1782ebbab4e8d8627d5eb29766f14">flume</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.3 "><p id="mrs_01_1057__a7ced0915e6ff461d9e16c040d4967008">Specifies the data group ID obtained from Kafka. This parameter cannot be left blank.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r816aa7178f2a4ee0b50b8ce786690f49"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.1 "><p id="mrs_01_1057__a36be45a795704d91985d329d4b802366">parseAsFlumeEvent</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.2 "><p id="mrs_01_1057__en-us_topic_0060028843_p305397015190">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.3 "><p id="mrs_01_1057__ae6340694c6a74ee7b46ab035603cfca4">Specifies whether data is parsed into Flume events.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r9423740020004f5e94f416b6f679b8b2"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.1 "><p id="mrs_01_1057__ae3233d80836a4b9881892b55443f136b">migrateZookeeperOffsets</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.2 "><p id="mrs_01_1057__ac93a6090b8e84841aae9ae52cac4c5c3">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.3 "><p id="mrs_01_1057__a2ec4d2414a9c4fc4bf449e07f5508838">Specifies whether to search for offsets in ZooKeeper and submit them to Kafka when there is no offset in Kafka.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r3e9c575a853f46b2883e1bd75d55cba5"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.1 "><p id="mrs_01_1057__abaede93eaa43490dbc1f46e9731757fe">kafka.consumer.auto.offset.reset</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.2 "><p id="mrs_01_1057__ab9f75bf7f38f41608624ece2ae899fa5">latest</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.3 "><p id="mrs_01_1057__aea4aa3d8026f49e288690a06afad5cbd">Specifies where to consume if there is no offset record, which can be set to <strong id="mrs_01_1057__b153050257283426">earliest</strong>, <strong id="mrs_01_1057__b212745106383426">latest</strong>, or <strong id="mrs_01_1057__b191073960483426">none</strong>. <strong id="mrs_01_1057__b162883358383426">earliest</strong> indicates that the offset is reset to the initial point, <strong id="mrs_01_1057__b62869254383426">latest</strong> indicates that the offset is set to the latest position, and <strong id="mrs_01_1057__b132645860683426">none</strong> indicates that an exception is thrown if there is no offset.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__ra1d9ca8e25dc455bbf734cac492b4b49"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.1 "><p id="mrs_01_1057__adea77b280c934e6bbb378127a59e58c4">kafka.producer.security.protocol</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.2 "><p id="mrs_01_1057__ac338674708c14cce85a8642a37d1e689">SASL_PLAINTEXT</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.3 "><p id="mrs_01_1057__a2b977b6656e84bc38ee9382e9c699f2a">Specifies the Kafka producer security protocol. The rules for matching ports and security protocols must be as follows: port 21007 matches the security mode (SASL_PLAINTEXT), and port 9092 matches the common mode (PLAINTEXT).</p>
+<div class="note" id="mrs_01_1057__note10629637193813"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1057__p186297370387">If the parameter is not displayed, click <strong id="mrs_01_1057__b91719073183426">+</strong> in the lower left corner of the dialog box to display all parameters.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1057__r52e84ca5176e480bab3cfec1f0a9b445"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.1 "><p id="mrs_01_1057__a7a67ad8cd05845dd949f8faf2568054d">kafka.consumer.security.protocol</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.2 "><p id="mrs_01_1057__adf64a5eb4e304adcb3a1b971c0a55207">SASL_PLAINTEXT</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.3 "><p id="mrs_01_1057__aa7393414bc75486cb665eaf13d337f4b">Specifies the Kafka consumer security protocol. The rules for matching ports and security protocols must be as follows: port 21007 matches the security mode (SASL_PLAINTEXT), and port 9092 matches the common mode (PLAINTEXT).</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row814791453012"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.1 "><p id="mrs_01_1057__p10147814103012">pollTimeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.2 "><p id="mrs_01_1057__p41471814113016">500</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.3 "><p id="mrs_01_1057__p11475142308">Specifies the maximum timeout interval for the consumer to invoke the poll function. Unit: milliseconds</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row868379915757"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.1 "><p id="mrs_01_1057__p3229911815757">ignoreLongMessage</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.2 "><p id="mrs_01_1057__p6609175715757">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.3 "><p id="mrs_01_1057__p5183212515757">Specifies whether to discard oversized messages.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row50712201151027"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.1 "><p id="mrs_01_1057__p14047586151027">messageMaxLength</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.2 "><p id="mrs_01_1057__p64112643151027">1000012</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.2.4.2.1.2.4.1.3 "><p id="mrs_01_1057__p25741589151027">Specifies the maximum length of a message written by Flume to Kafka.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1057__s1276127127344debb6844cccb509823f"><h4 class="sectiontitle">Common Sink Configurations</h4><ul id="mrs_01_1057__ul66692244550"><li id="mrs_01_1057__li1466972465511"><strong id="mrs_01_1057__a9186c176e1e74b989317fde303b9f6d2">HDFS Sink</strong><p id="mrs_01_1057__a20e5a7bcbb484a1d9d5647c39974f52c">An HDFS sink writes data into HDFS. Common configurations are as follows:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1057__td3716b5f2871449880ab75ff0409366a" frame="border" border="1" rules="all"><caption><b>Table 10 </b>Common configurations of an HDFS sink</caption><thead align="left"><tr id="mrs_01_1057__r715fd8bf30704c7ebfc7af2ef6390a66"><th align="left" class="cellrowborder" valign="top" width="33.333333333333336%" id="mcps1.3.6.2.1.3.2.4.1.1"><p id="mrs_01_1057__a67dfba5b73e148e2ac332d66d7a3f056"><strong id="mrs_01_1057__b070533123715">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="11.393939393939394%" id="mcps1.3.6.2.1.3.2.4.1.2"><p id="mrs_01_1057__a22f6583730414da19569170b4f201fdc"><strong id="mrs_01_1057__b12969734143717">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="55.27272727272727%" id="mcps1.3.6.2.1.3.2.4.1.3"><p id="mrs_01_1057__a849219f1f770432fac4645d2d56e98d1"><strong id="mrs_01_1057__b83571237143716">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1057__r697f578468ea4220b1e093a5dd1c0364"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__a0eaab76e4840455bb4a1dc9be276a306">channel</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__a214e4d5849594522a093c4408e756d23">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__a3bcb0e82c7d9491e99e05ce7af0a39d7">Specifies the channel connected to the sink.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r7408592c9350440ea8de7138b199d260"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__a6347ca72389047f19465888d95b9aec2">type</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__ab5e92ee129574b5ca11c8e9e42d68111">hdfs</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__aa07bf6f131e04853854ff89effae5e45">Specifies the type of the hdfs sink, which must be set to <strong id="mrs_01_1057__b171110762083426">hdfs</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r5ab13b7c4c444273ad7060e1f0008ce9"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__a71a4423e8bf641d69d1b2aa8d19ea9a2">hdfs.path</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__a73807e37e5c449a292b9b74a2da9b7a0">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__add539209f1684c83ab9f56d4c33320ac">Specifies the data storage path in HDFS. The value must start with <strong id="mrs_01_1057__b172027595983426">hdfs://hacluster/</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row5224743173513"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__p17224124393514">monTime</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__p922464353520">0 (Disabled)</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__p46142453610">Specifies the thread monitoring threshold. When the update time exceeds the threshold, the sink is restarted. Unit: second</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__rc5df1f417d804b1babd6d1abec6c4aae"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__aa64d1ff929c248009a432e1475bc4ed5">hdfs.inUseSuffix</p>
+<p id="mrs_01_1057__p1539321215148"></p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__a5d2c589710fc413593211c640dff539d">.tmp</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__a5a2f47ef4da44eb18b69140ea3018a61">Specifies the suffix of the HDFS file to which data is being written.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r3eadfc65e62d4ee2bde75c11f7f2862d"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__a6c56a9e731814b44ad40da7c09fcbc3b">hdfs.rollInterval</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__af54704837ef24e95b99571b10aae5853">30</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__a974cb447bd154a83a77eb5fcaed746cb">Specifies the interval for file rolling, expressed in seconds.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__rd6c106930ce943a48b9d1730cc4d5830"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__af0db43e471ce4be49d71dff066661128">hdfs.rollSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__acc03bfaf16fa424683e73f9c700c7b60">1024</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__abfa02323fe164b93addd9a1895768cb0">Specifies the size for file rolling, expressed in bytes.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__rc989357ee7cb45789b81ae2537445557"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__a171fec3f425247ecbf4de62043e94929">hdfs.rollCount</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__ae99b13f92c7d4f2d8c530f9addb82c1b">10</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__a0e9b27acb86349c1bd1c9e57b8e2db8a">Specifies the number of events for file rolling.</p>
+<div class="note" id="mrs_01_1057__note14616103144714"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1057__p196168310479">Parameters <strong id="mrs_01_1057__b59833594083426">rollInterval</strong>, <strong id="mrs_01_1057__b190856568883426">rollSize</strong>, and <strong id="mrs_01_1057__b35475603183426">rollCount</strong> can be configured at the same time. The parameter meeting the requirements takes precedence for compression.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1057__racebb384829d4faba8c8ca9ecbb699a1"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__aee5c9b388e59456b8c6f9b183be7142e">hdfs.idleTimeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__a09c2422ff6954b3b88dde3503b51b982">0</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__a318727edd6f04b35b1c85335a465a55d">Specifies the timeout interval for closing idle files automatically, expressed in seconds.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r93e00648d3c640aa95af204d17e17a76"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__aa578ba63249243a9bcfcc3646c4169c2">hdfs.batchSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__abefa9904370e429398c56004e8b2fe9b">1000</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__aa98413d0eca1406d9f3af2d08914f2ac">Specifies the number of events written into HDFS in batches.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__rf3b09383e03946dc87d9550198403a25"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__a05d7c0d6f57b40809a750501cd667dbf">hdfs.kerberosPrincipal</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__a8ab2631eaba7415fad0352d760b635ba">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__a16d1fce13de24e639cb994c34a53abeb">Specifies the Kerberos principal of HDFS authentication. This parameter is mandatory in a secure mode, but not required in a common mode.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r2c94530298fb40dcb20b49ad0af801b5"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__aa318b3af7737458d90ac1ff21b7fa9e2">hdfs.kerberosKeytab</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__af43c6d595184468090a32f90a5c3e8d9">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__ad1ef5caf38ad4dcd95171a28e935cbd8">Specifies the Kerberos keytab of HDFS authentication. This parameter is not required in a common mode, but in a secure mode, the Flume running user must have the permission to access <strong id="mrs_01_1057__b207247095083426">keyTab</strong> path in the <strong id="mrs_01_1057__b35663855383426">jaas.cof</strong> file.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r23570b1e4875437bb9ff2a19ea58368f"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__a4358e1454f5b40ecad0f86e4e5929b58">hdfs.fileCloseByEndEvent</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__a6d99420c8c274185b11ecf89a7ad3b79">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__ac5332c4a50b141e5a8276346559941c3">Specifies whether to close the HDFS file when the last event of the source file is received.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r0a421836e054408c8cfcfd86a16dded4"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__a0e40d405f4644ac79872f157a9b4bf4a">hdfs.batchCallTimeout</p>
+<p id="mrs_01_1057__p114429294165"></p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__afe5ba31119c24a31b76cbf080cfc0ea3">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__a260a9933758240fea894460ac83c7c4f">Specifies the timeout control duration when events are written into HDFS in batches. Unit: milliseconds</p>
+<p id="mrs_01_1057__a3f18efc6dfab48c8923364c8699bbee4">If this parameter is not specified, the timeout duration is controlled when each event is written into HDFS. When the value of <span class="parmname" id="mrs_01_1057__p16d4f78b301d4c95b7d95e1f9d13e109"><b>hdfs.batchSize</b></span> is greater than 0, configure this parameter to improve the performance of writing data into HDFS.</p>
+<div class="note" id="mrs_01_1057__n24703867858546baa0e066e6a26a91bd"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1057__a4fcd3630abd945c192299d0fe9a82634">The value of <span class="parmname" id="mrs_01_1057__parmname107811558683426"><b>hdfs.batchCallTimeout</b></span> depends on <span class="parmname" id="mrs_01_1057__parmname177468363683426"><b>hdfs.batchSize</b></span>. A greater <span class="parmname" id="mrs_01_1057__parmname113008421683426"><b>hdfs.batchSize</b></span> requires a larger <span class="parmname" id="mrs_01_1057__parmname194947690383426"><b>hdfs.batchCallTimeout</b></span>. If the value of <span class="parmname" id="mrs_01_1057__parmname55873563083426"><b>hdfs.batchCallTimeout</b></span> is too small, writing events to HDFS may fail.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1057__re81f5bcd39c64819a3b6c3664f0c63da"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__a071055da628b4905ad7c5a6512b0eca0">serializer.appendNewline</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__a1639c7042263428f989861605499514b">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__a456d36b70ce14f0e87e28c8162d5f775">Specifies whether to add a line feed character (<strong id="mrs_01_1057__b155322601883426">\n</strong>) after an event is written to HDFS. If a line feed character is added, the data volume counters used by the line feed character will not be calculated by HDFS sinks.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row13383828162313"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__p1438452822311">hdfs.filePrefix</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__p33849281238">over_%{basename}</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__p183848288232">Specifies the file name prefix after data is written to HDFS.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row1185711322411"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__p385741312413">hdfs.fileSuffix</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__p68579139243">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__p11857131332414">Specifies the file name suffix after data is written to HDFS.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row620813116249"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__p0208191142417">hdfs.inUsePrefix</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__p17208151122414">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__p3208131192418">Specifies the prefix of the HDFS file to which data is being written.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row1268948172415"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__p116916882414">hdfs.fileType</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__p9691208122415">DataStream</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__p11691148172419">Specifies the HDFS file format, which can be set to <strong id="mrs_01_1057__b125080259083426">SequenceFile</strong>, <strong id="mrs_01_1057__b120685711483426">DataStream</strong>, or <strong id="mrs_01_1057__b148254310283426">CompressedStream</strong>.</p>
+<div class="note" id="mrs_01_1057__note07884811343"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1057__p184112404257">If the parameter is set to <strong id="mrs_01_1057__b154237438483426">SequenceFile</strong> or <strong id="mrs_01_1057__b97175101683426">DataStream</strong>, output files are not compressed, and the <strong id="mrs_01_1057__b167758244683426">codeC</strong> parameter cannot be configured. However, if the parameter is set to <strong id="mrs_01_1057__b97489570283426">CompressedStream</strong>, the output files are compressed, and the <strong id="mrs_01_1057__b39892573483426">codeC</strong> parameter must be configured together.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1057__row1912122112410"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__p1512521241">hdfs.codeC</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__p11122213243">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__p11218215245">Specifies the file compression format, which can be set to <strong id="mrs_01_1057__b70776365283426">gzip</strong>, <strong id="mrs_01_1057__b39654236583426">bzip2</strong>, <strong id="mrs_01_1057__b192966644183426">lzo</strong>, <strong id="mrs_01_1057__b170552463083426">lzop</strong>, or <strong id="mrs_01_1057__b86817929083426">snappy</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row183651359102316"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__p7365959122316">hdfs.maxOpenFiles</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__p13365559162315">5000</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__p103657595231">Specifies the maximum number of HDFS files that can be opened. If the number of opened files reaches this value, the earliest opened files are closed.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row45051256192312"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__p55051756112318">hdfs.writeFormat</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__p175051756162318">Writable</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__p850585610236">Specifies the file write format, which can be set to <strong id="mrs_01_1057__b199341880783426">Writable</strong> or <strong id="mrs_01_1057__b191055139683426">Text</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row64717534237"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__p1147353122312">hdfs.callTimeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__p64716537237">10000</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__p19472539237">Specifies the timeout control duration each time events are written into HDFS, expressed in milliseconds.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row4413175018238"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__p5413105032313">hdfs.threadsPoolSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__p1341311502238">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__p1141475022315">Specifies the number of threads used by each HDFS sink for HDFS I/O operations.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row5666104772310"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__p1667547112317">hdfs.rollTimerPoolSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__p1466711474239">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__p366794782310">Specifies the number of threads used by each HDFS sink to schedule the scheduled file rolling.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row108985448234"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__p10898144472311">hdfs.round</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__p3898944192317">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__p2089834472313">Specifies whether to round off the timestamp value. If this parameter is set to true, all time-based escape sequences (except %t) are affected.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row1536984215238"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__p173691542112315">hdfs.roundUnit</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__p203696427238">second</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__p1736974272318">Specifies the unit of the timestamp value that has been rounded off, which can be set to <strong id="mrs_01_1057__b183252945883426">second</strong>, <strong id="mrs_01_1057__b93421899983426">minute</strong>, or <strong id="mrs_01_1057__b210808225983426">hour</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row38501339152315"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__p885023952320">hdfs.useLocalTimeStamp</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__p3850153972318">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__p18502039152312">Specifies whether to enable the local timestamp. The recommended parameter value is <strong id="mrs_01_1057__b77507119683426">true</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row14981337112311"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__p9981937132314">hdfs.closeTries</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__p6991537172311">0</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__p49923715231">Specifies the maximum attempts for the <strong id="mrs_01_1057__b71391561483426">hdfs sink</strong> to stop renaming a file. If the parameter is set to the default value <strong id="mrs_01_1057__b142175411783426">0</strong>, the sink does not stop renaming the file until the file is successfully renamed.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row72987343236"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__p3298193411235">hdfs.retryInterval</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__p1529833492317">180</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__p92082065356">Specifies the interval of request for closing the HDFS file, expressed in seconds.</p>
+<div class="note" id="mrs_01_1057__note11568118268"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1057__p65681881261">For each closing request, there are multiple RPCs working on the NameNode back and forth, which may make the NameNode overloaded if the parameter value is too small. Also, when the parameter is set to <strong id="mrs_01_1057__b82048684483426">0</strong>, the Sink will not attempt to close the file, but opens the file or uses <strong id="mrs_01_1057__b203158673683426">.tmp</strong> as the file name extension, if the first closing attempt fails.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1057__row8692103152311"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.6.2.1.3.2.4.1.1 "><p id="mrs_01_1057__p11693173182316">hdfs.failcount</p>
+<p id="mrs_01_1057__p2011444218239"></p>
+</td>
+<td class="cellrowborder" valign="top" width="11.393939393939394%" headers="mcps1.3.6.2.1.3.2.4.1.2 "><p id="mrs_01_1057__p1369312317238">10</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.27272727272727%" headers="mcps1.3.6.2.1.3.2.4.1.3 "><p id="mrs_01_1057__p569313192317">Specifies the number of times that data fails to be written to HDFS. If the number of times that the sink fails to write data to HDFS exceeds the parameter value, an alarm indicating abnormal data transmission is reported.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1057__li066917245558"><strong id="mrs_01_1057__af02788f741504366a37639c4fbfe6b17">Avro Sink</strong><p id="mrs_01_1057__a9fef4cfe6303451383d80d361d1ce38a">An Avro sink converts events into Avro events and sends them to the monitoring ports of the hosts. Common configurations are as follows:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1057__tfca7bbb9a9fd4a4b8b9c65ee29fb8bdc" frame="border" border="1" rules="all"><caption><b>Table 11 </b>Common configurations of an Avro sink</caption><thead align="left"><tr id="mrs_01_1057__raac92ae5c29f4738b91994b193f05a54"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.6.2.2.3.2.4.1.1"><p id="mrs_01_1057__aca5eb2358b3e40919ab14d06c06b6864"><strong id="mrs_01_1057__b339415203487">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="42.199999999999996%" id="mcps1.3.6.2.2.3.2.4.1.2"><p id="mrs_01_1057__a4586deb5b43b4818800594d4ab5d2226"><strong id="mrs_01_1057__b815132211489">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="32.800000000000004%" id="mcps1.3.6.2.2.3.2.4.1.3"><p id="mrs_01_1057__a59253e548f9b41a3b605187f2a294af9"><strong id="mrs_01_1057__b2860823174816">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1057__r45ce3fcf6c79453fa09a2ee63220b6fe"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_1057__a8e444db22791474e82ce6ebde3165963">channel</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.199999999999996%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_1057__a8ab33120b742400eaf941bbb85bff3be">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.800000000000004%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_1057__a15dc9edcc9f04580b22548aed98b57df">Specifies the channel connected to the sink.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__raadb84a7d52d46d1b4896b73f20fb76f"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_1057__a291433c6b6cd432aa1ca7aad241a2e02">type</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.199999999999996%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_1057__a0b626d69ca0b4b0397e92509b2d88ebc">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.800000000000004%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_1057__af4aee05c51734bd087bd1064ea60b531">Specifies the type of the avro sink, which must be set to <strong id="mrs_01_1057__b58769597383426">avro</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__rc16bd221a7b348cea1d7dd67514a73b6"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_1057__a706f74919b2342f8913ec03ab8a80851">hostname</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.199999999999996%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_1057__ad95a1e1636404638aa37e48895321ca6">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.800000000000004%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_1057__a00a4503455d84ddea32d8fa6cc0ffdef">Specifies the bound host name or IP address.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__rf013efcb2cbc45229d7a4d46b7bcf58d"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_1057__a8492797f58b44a4987b4eb54840ab700">port</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.199999999999996%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_1057__a420f693f1264406c82f23c8128ffe96b">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.800000000000004%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_1057__aa099e1ce3e4b46f6ba210bbd0f2bb674">Specifies the bound listening port. Ensure that this port is not occupied.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__rf12a63c86e2b4bf1b851e811cba5ef4f"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_1057__a724ed14662c044df8c7670eb6e4bc590">batch-size</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.199999999999996%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_1057__a1c2779f1ae884de8aca0de643973563c">1000</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.800000000000004%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_1057__a7499c74f793c47f5a41c7a4a19a7840a">Specifies the number of events sent in a batch.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row136071815123318"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_1057__p2060711159336">client.type</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.199999999999996%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_1057__p36078153336">DEFAULT</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.800000000000004%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_1057__p7607215153319">Specifies the client instance type. Set this parameter based on the communication protocol used by the configured model. The options are as follows:</p>
+<ul id="mrs_01_1057__ul1229553862814"><li id="mrs_01_1057__li173985536286"><strong id="mrs_01_1057__b185671823141210">DEFAULT</strong>: The client instance of the AvroRPC type is returned.</li><li id="mrs_01_1057__li11815872813"><strong id="mrs_01_1057__b17731729191217">OTHER</strong>: NULL is returned.</li><li id="mrs_01_1057__li1645801414299"><strong id="mrs_01_1057__b1669203231220">THRIFT</strong>: The client instance of the Thrift RPC type is returned.</li><li id="mrs_01_1057__li16741132372917"><strong id="mrs_01_1057__b1652493913123">DEFAULT_LOADBALANCING</strong>: The client instance of the LoadBalancing RPC type is returned.</li><li id="mrs_01_1057__li15295123811289"><strong id="mrs_01_1057__b19724195918128">DEFAULT_FAILOVER</strong>: The client instance of the Failover RPC type is returned.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_1057__r21831d84d67f402fa7410635cb3c5a12"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_1057__aa8fe787006e34c21a32acf1506c747bc">ssl</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.199999999999996%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_1057__a6c33ffa8ff2447bd86ac44a4d87fca5c">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.800000000000004%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_1057__a78123f41c50b4c5ca5c434b4daf9c59c">Specifies whether to use SSL encryption. If this parameter is set to <strong id="mrs_01_1057__b99718520083426">true</strong>, the values of <strong id="mrs_01_1057__b202093844383426">keystore</strong> and <strong id="mrs_01_1057__b42354838483426">keystore-password</strong> must be specified.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r2a256eab03a044bf858a331927afa701"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_1057__a384964148ffc4d6a8d3febc0408f5db1">truststore-type</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.199999999999996%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_1057__a34823223690a45f88f02017bc025fe16">JKS</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.800000000000004%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_1057__add3a25b02f05445da06a6c771ea2b090">Specifies the Java trust store type, which can be set to <strong id="mrs_01_1057__b205453524183426">JKS</strong> or <strong id="mrs_01_1057__b141793934383426">PKCS12</strong>.</p>
+<div class="note" id="mrs_01_1057__note2098055919448"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1057__p119803595448">Different passwords are used to protect the key store and private key of <strong id="mrs_01_1057__b149181224083426">JKS</strong>, while the same password is used to protect the key store and private key of <strong id="mrs_01_1057__b4691294283426">PKCS12</strong>.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1057__r7b66b97c0649499f86fa4f9925d22397"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_1057__a5e2473e5538649259c9b5032a8e352f3">truststore</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.199999999999996%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_1057__a5c358be46652427a839ad166f9768e11">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.800000000000004%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_1057__a48acf5d4cf8a42528a743873fdeaee98">Specifies the Java trust store file.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r6020a523246b484293b1a855983f767e"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_1057__a72fa653d21114933b95f4d00bc9afb19">truststore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.199999999999996%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_1057__aac05aa5b5aae4b5aa3b862ee5cc1ec48">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.800000000000004%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_1057__a058e5dad12ac4e1baede12c982a8f84c">Specifies the Java trust store password.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__rc18d99035cc74584b811dc1ef29d78a1"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_1057__a68e7da131ce74279abe0d7a4546c251d">keystore-type</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.199999999999996%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_1057__aefba0be9487e4d3a8ff8bd0cc2e197fd">JKS</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.800000000000004%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_1057__abaed627694c34f1a9b6a293d042c59aa">Specifies the keystore type set after SSL is enabled.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__ra3706a595bf4453cad11e631b135140a"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_1057__a8e1a33565afd4452b9c7bd6cbedf02e8">keystore</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.199999999999996%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_1057__a2ee8cbbd255c49e58da82de605a75bda">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.800000000000004%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_1057__a4974d89a623440ac9b60e291936899ac">Specifies the keystore file path set after SSL is enabled. This parameter is mandatory if SSL is enabled.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__ra9a27754250b4faba8baccc8d2307529"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_1057__ab59d6914873c4b18bb6272d9b0ff34db">keystore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.199999999999996%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_1057__ac01255fe431c4ec8bde4d89b4ba45022">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.800000000000004%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_1057__a93bb6de8d31b412a8ce444f4b6836bae">Specifies the keystore password after SSL is enabled. This parameter is mandatory if SSL is enabled.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row20754420183013"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_1057__p107548203307">connect-timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.199999999999996%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_1057__p27546206308">20000</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.800000000000004%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_1057__p975462033012">Specifies the timeout for the first connection, expressed in milliseconds.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row1531713920302"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_1057__p0317639163016">request-timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.199999999999996%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_1057__p5317439163016">20000</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.800000000000004%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_1057__p63171939153010">Specifies the maximum timeout for a request after the first request, expressed in milliseconds.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row14677236163013"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_1057__p96782362304">reset-connection-interval</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.199999999999996%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_1057__p176783367304">0</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.800000000000004%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_1057__p86781436123013">Specifies the interval between a connection failure and a second connection, expressed in seconds. If the parameter is set to <strong id="mrs_01_1057__b95976132183426">0</strong>, the system continuously attempts to perform a connection.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row39977301306"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_1057__p999703043013">compression-type</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.199999999999996%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_1057__p11997183003013">none</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.800000000000004%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_1057__p189971930183013">Specifies the compression type of the batch data, which can be set to <strong id="mrs_01_1057__b129743124783426">none</strong> or <strong id="mrs_01_1057__b125662859283426">deflate</strong>. <strong id="mrs_01_1057__b64085966783426">none</strong> indicates that data is not compressed, while <strong id="mrs_01_1057__b205708449483426">deflate</strong> indicates that data is compressed. This parameter value must be the same as that of the AvroSource compression-type.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row104063416309"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_1057__p540734163013">compression-level</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.199999999999996%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_1057__p140234113011">6</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.800000000000004%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_1057__p1740183414307">Specifies the compression level of batch data, which can be set to <strong id="mrs_01_1057__b27745627283426">1</strong> to <strong id="mrs_01_1057__b167595569483426">9</strong>. A larger value indicates a higher compression rate.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row18872526103015"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.2.3.2.4.1.1 "><p id="mrs_01_1057__p3872826123013">exclude-protocols</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.199999999999996%" headers="mcps1.3.6.2.2.3.2.4.1.2 "><p id="mrs_01_1057__p10872192673010">SSLv3</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.800000000000004%" headers="mcps1.3.6.2.2.3.2.4.1.3 "><p id="mrs_01_1057__p158724260302">Specifies the excluded protocols. The entered protocols must be separated by spaces. The default value is <strong id="mrs_01_1057__b149914366883426">SSLv3</strong>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1057__li11669152410550"><strong id="mrs_01_1057__a5f4b3133b40448a7a9df5c63360e295d">HBase Sink</strong><p id="mrs_01_1057__a5d1a55dc06f0405f9c23cba78adddd7a">An HBase sink writes data into HBase. Common configurations are as follows:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1057__t650ffa43e1974deebd84c9beba5600ae" frame="border" border="1" rules="all"><caption><b>Table 12 </b>Common configurations of an HBase sink</caption><thead align="left"><tr id="mrs_01_1057__r355b4a4913854792b475e02f15c0280f"><th align="left" class="cellrowborder" valign="top" width="19.801980198019802%" id="mcps1.3.6.2.3.3.2.4.1.1"><p id="mrs_01_1057__ae9e03d4370f6409ba69a3849812dfbea"><strong id="mrs_01_1057__b154075526161">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="19.801980198019802%" id="mcps1.3.6.2.3.3.2.4.1.2"><p id="mrs_01_1057__ac244650cbc114c1bacd80a31a218299c"><strong id="mrs_01_1057__b1538811550167">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="60.396039603960396%" id="mcps1.3.6.2.3.3.2.4.1.3"><p id="mrs_01_1057__aa36751162a6c47d69a03a059f1095338"><strong id="mrs_01_1057__b14520175716169">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1057__r4f46c925a01f4384a74d3c5883badcf3"><td class="cellrowborder" valign="top" width="19.801980198019802%" headers="mcps1.3.6.2.3.3.2.4.1.1 "><p id="mrs_01_1057__a05579d955f9e4b38925db9ff98dd2012">channel</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.801980198019802%" headers="mcps1.3.6.2.3.3.2.4.1.2 "><p id="mrs_01_1057__ade4752b49e62454bbf97e1d1b8e0e196">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.6.2.3.3.2.4.1.3 "><p id="mrs_01_1057__a2ffc37fc83934294976f9aa28ac61407">Specifies the channel connected to the sink.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__rbf862a05f9ea4cbe8877124e50639e40"><td class="cellrowborder" valign="top" width="19.801980198019802%" headers="mcps1.3.6.2.3.3.2.4.1.1 "><p id="mrs_01_1057__a33a9b50664b24209b51bd7cb17ed28b7">type</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.801980198019802%" headers="mcps1.3.6.2.3.3.2.4.1.2 "><p id="mrs_01_1057__a942350bd9fc94ca6bd79fe0cdd8f51ce">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.6.2.3.3.2.4.1.3 "><p id="mrs_01_1057__a933cf81bbb4c43f1a40fbc075683f43f">Specifies the type of the HBase sink, which must be set to <strong id="mrs_01_1057__b34716868183426">hbase</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r67f2695f508c4d4f9798c6efff7b72ae"><td class="cellrowborder" valign="top" width="19.801980198019802%" headers="mcps1.3.6.2.3.3.2.4.1.1 "><p id="mrs_01_1057__a2186865b439f47a09d8aafaa5641aba5">table</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.801980198019802%" headers="mcps1.3.6.2.3.3.2.4.1.2 "><p id="mrs_01_1057__a3886a15adea74488b00b439cc22e3239">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.6.2.3.3.2.4.1.3 "><p id="mrs_01_1057__aac6daded1cf84bde86ebfa21fa19a20c">Specifies the HBase table name.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r93a0e6ca6e7848b0ae4b56d57a809d38"><td class="cellrowborder" valign="top" width="19.801980198019802%" headers="mcps1.3.6.2.3.3.2.4.1.1 "><p id="mrs_01_1057__a31ed563c3fcd4578b1e5344e62225ce1">columnFamily</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.801980198019802%" headers="mcps1.3.6.2.3.3.2.4.1.2 "><p id="mrs_01_1057__a5b779f4a36f74a008f1b1c347bcc00fd">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.6.2.3.3.2.4.1.3 "><p id="mrs_01_1057__a275df98c2cad40398939c88ff8646904">Specifies the HBase column family.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row175581730125220"><td class="cellrowborder" valign="top" width="19.801980198019802%" headers="mcps1.3.6.2.3.3.2.4.1.1 "><p id="mrs_01_1057__p6355739105217">monTime</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.801980198019802%" headers="mcps1.3.6.2.3.3.2.4.1.2 "><p id="mrs_01_1057__p175580306528">0 (Disabled)</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.6.2.3.3.2.4.1.3 "><p id="mrs_01_1057__p157410520536">Specifies the thread monitoring threshold. When the update time exceeds the threshold, the sink is restarted. Unit: second</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__rca3d3dbc2abc4cc3a2d7666dc1301b07"><td class="cellrowborder" valign="top" width="19.801980198019802%" headers="mcps1.3.6.2.3.3.2.4.1.1 "><p id="mrs_01_1057__ab3c34130802b427ca2862e154cba7132">batchSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.801980198019802%" headers="mcps1.3.6.2.3.3.2.4.1.2 "><p id="mrs_01_1057__a93c4d307617e4a759c3cf697c76edaf9">1000</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.6.2.3.3.2.4.1.3 "><p id="mrs_01_1057__ae18c172ad1b240f7b189bc588ccc4138">Specifies the number of events written into HBase in batches.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r10cf1d0f3be6407db74b1e8f98be76f3"><td class="cellrowborder" valign="top" width="19.801980198019802%" headers="mcps1.3.6.2.3.3.2.4.1.1 "><p id="mrs_01_1057__a4908d0437825452bba7989bdd6a1b9d8">kerberosPrincipal</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.801980198019802%" headers="mcps1.3.6.2.3.3.2.4.1.2 "><p id="mrs_01_1057__a618836a8e34647daa885eb940618a9a0">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.6.2.3.3.2.4.1.3 "><p id="mrs_01_1057__a41cb7c96af8041a5bbfc6ae35e56089f">Specifies the Kerberos principal of HBase authentication. This parameter is mandatory in a secure mode, but not required in a common mode.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r14dde5dcb27b4ca785913b31940abe90"><td class="cellrowborder" valign="top" width="19.801980198019802%" headers="mcps1.3.6.2.3.3.2.4.1.1 "><p id="mrs_01_1057__aea1a0aca3c4f4e9c9b475182ec8dca2b">kerberosKeytab</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.801980198019802%" headers="mcps1.3.6.2.3.3.2.4.1.2 "><p id="mrs_01_1057__af32ac31cde0941dbb0cc1c8dec5273c1">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.6.2.3.3.2.4.1.3 "><p id="mrs_01_1057__aebba7a5f5be745aeb5603a56e99a56aa">Specifies the Kerberos keytab of HBase authentication. This parameter is not required in a common mode, but in a secure mode, the Flume running user must have the permission to access <strong id="mrs_01_1057__b46397699983426">keyTab</strong> path in the <strong id="mrs_01_1057__b26308083883426">jaas.cof</strong> file.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row24888487325"><td class="cellrowborder" valign="top" width="19.801980198019802%" headers="mcps1.3.6.2.3.3.2.4.1.1 "><p id="mrs_01_1057__p7488174814320">coalesceIncrements</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.801980198019802%" headers="mcps1.3.6.2.3.3.2.4.1.2 "><p id="mrs_01_1057__p134881248133211">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.396039603960396%" headers="mcps1.3.6.2.3.3.2.4.1.3 "><p id="mrs_01_1057__p14881448163216">Specifies whether to perform multiple operations on the same hbase cell in a same processing batch. Setting this parameter to <strong id="mrs_01_1057__b117233281883426">true</strong> improves performance.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1057__li266911248557"><strong id="mrs_01_1057__a9326f078f9bd4e69b61d63b5085dae9a">Kafka Sink</strong><p id="mrs_01_1057__a97ba2739499148c496199736610dbd1a">A Kafka sink writes data into Kafka. Common configurations are as follows:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1057__t51a0b5e5632e400f9081096ba40d2140" frame="border" border="1" rules="all"><caption><b>Table 13 </b>Common configurations of a Kafka sink</caption><thead align="left"><tr id="mrs_01_1057__r6dad61c602e341d781ae5055a67d7d01"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.6.2.4.3.2.4.1.1"><p id="mrs_01_1057__a1fb419f9909246f79e957bcf9c886662"><strong id="mrs_01_1057__b6500946172113">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="19.869999999999997%" id="mcps1.3.6.2.4.3.2.4.1.2"><p id="mrs_01_1057__af10f737f14624a1baa4c95305c425d14"><strong id="mrs_01_1057__b1055674815216">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="55.13%" id="mcps1.3.6.2.4.3.2.4.1.3"><p id="mrs_01_1057__a91c82d2310cc46b3b6e53f0381d62c7f"><strong id="mrs_01_1057__b922105042112">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1057__rddb0f254961944889eb5b8015d81bdc6"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.4.3.2.4.1.1 "><p id="mrs_01_1057__aa467065968384ba188aec90ddb6aa87b">channel</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.869999999999997%" headers="mcps1.3.6.2.4.3.2.4.1.2 "><p id="mrs_01_1057__a1eb1ebc2907d443db6b296b6d0172cc3">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.13%" headers="mcps1.3.6.2.4.3.2.4.1.3 "><p id="mrs_01_1057__ad98d5119b011443ca59377c7d7e6c591">Specifies the channel connected to the sink.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r4f2d29a41d7445e1b899d4446af16429"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.4.3.2.4.1.1 "><p id="mrs_01_1057__a30de203c2992490b926cc754e789f866">type</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.869999999999997%" headers="mcps1.3.6.2.4.3.2.4.1.2 "><p id="mrs_01_1057__a4afd432e0e134950aa34d9deac2f00f5">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.13%" headers="mcps1.3.6.2.4.3.2.4.1.3 "><p id="mrs_01_1057__a17035f199a4f485aacd9ed228aeabe1b">Specifies the type of the kafka sink, which must be set to <strong id="mrs_01_1057__b164273610583426">org.apache.flume.sink.kafka.KafkaSink</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r8d22bf691e8e4c669e919c22cdaf837c"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.4.3.2.4.1.1 "><p id="mrs_01_1057__a7f2c101c44f64873a609677888565e03">kafka.bootstrap.servers</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.869999999999997%" headers="mcps1.3.6.2.4.3.2.4.1.2 "><p id="mrs_01_1057__a22a20fcfeb7543ef85eff8c4a8d00a98">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.13%" headers="mcps1.3.6.2.4.3.2.4.1.3 "><p id="mrs_01_1057__a59e396385bfa41578da31795b5ed2f27">Specifies the bootstrap address port list of Kafka. If Kafka has been installed in the cluster and the configuration has been synchronized to the server, you do not need to set this parameter on the server. The default value is the list of all brokers in the Kafka cluster. The client must be configured with this parameter. If there are multiple values, use commas (,) to separate the values. The rules for matching ports and security protocols must be as follows: port 21007 matches the security mode (SASL_PLAINTEXT), and port 9092 matches the common mode (PLAINTEXT).</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__rc2f34e5e0adf49369ea98d628bfd0425"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.4.3.2.4.1.1 "><p id="mrs_01_1057__a67f352c2fafd4f84a9abaa48260246e2">monTime</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.869999999999997%" headers="mcps1.3.6.2.4.3.2.4.1.2 "><p id="mrs_01_1057__a07088507d15046ba9f51716d8f50b9a5">0 (Disabled)</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.13%" headers="mcps1.3.6.2.4.3.2.4.1.3 "><p id="mrs_01_1057__a9c4fe5b7a6484b168ae458489e903243">Specifies the thread monitoring threshold. When the update time exceeds the threshold, the sink is restarted. Unit: second</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row382355119539"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.4.3.2.4.1.1 "><p id="mrs_01_1057__p182335175315">kafka.producer.acks</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.869999999999997%" headers="mcps1.3.6.2.4.3.2.4.1.2 "><p id="mrs_01_1057__p48231351115319">1</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.13%" headers="mcps1.3.6.2.4.3.2.4.1.3 "><p id="mrs_01_1057__p682314514534">Successful write is determined by the number of received acknowledgement messages about replicas. The value <strong id="mrs_01_1057__b135350546683426">0</strong> indicates that no confirm message needs to be received, the value <strong id="mrs_01_1057__b102326520883426">1</strong> indicates that the system is only waiting for only the acknowledgement information from a leader, and the value <strong id="mrs_01_1057__b95811163783426">-1</strong> indicates that the system is waiting for the acknowledgement messages of all replicas. If this parameter is set to <strong id="mrs_01_1057__b164337054683426">-1</strong>, data loss can be avoided in some leader failure scenarios.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r25caf5c7b2f54ae4b84dea79f08db16c"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.4.3.2.4.1.1 "><p id="mrs_01_1057__a41dfccc48d31478d814c6caad7f881c2">kafka.topic</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.869999999999997%" headers="mcps1.3.6.2.4.3.2.4.1.2 "><p id="mrs_01_1057__a918890ddda1a43b4b388e7117c46c4a4">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.13%" headers="mcps1.3.6.2.4.3.2.4.1.3 "><p id="mrs_01_1057__ae0419d539b664b0ba22b4db3e6a5c10c">Specifies the topic to which data is written. This parameter is mandatory.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r434f36e070cd4d28a1f917ffbb85b033"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.4.3.2.4.1.1 "><p id="mrs_01_1057__a5ea1e6887d8842d6ab9b9f5a1753cd95">flumeBatchSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.869999999999997%" headers="mcps1.3.6.2.4.3.2.4.1.2 "><p id="mrs_01_1057__a7a23afed20694769b750d9a8bfa041d0">1000</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.13%" headers="mcps1.3.6.2.4.3.2.4.1.3 "><p id="mrs_01_1057__adcbc623ed00945098288a3a2e1dc2e82">Specifies the number of events written into Kafka in batches.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__r1efc78499a9c4b7ab46621b60ee5af1d"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.4.3.2.4.1.1 "><p id="mrs_01_1057__a1872029e7e9b4c9a976b0d581a76d1fb">kafka.security.protocol</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.869999999999997%" headers="mcps1.3.6.2.4.3.2.4.1.2 "><p id="mrs_01_1057__a169fd0a18ff14302bb75a1478ad99d3a">SASL_PLAINTEXT</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.13%" headers="mcps1.3.6.2.4.3.2.4.1.3 "><p id="mrs_01_1057__a54171e1e960b4e21bd2e98cc0d935525">Specifies the Kafka security protocol. The parameter value must be set to PLAINTEXT in a common cluster. The rules for matching ports and security protocols must be as follows: port 21007 matches the security mode (SASL_PLAINTEXT), and port 9092 matches the common mode (PLAINTEXT).</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row49182277151146"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.4.3.2.4.1.1 "><p id="mrs_01_1057__p24341482151146">ignoreLongMessage</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.869999999999997%" headers="mcps1.3.6.2.4.3.2.4.1.2 "><p id="mrs_01_1057__p25503040151146">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.13%" headers="mcps1.3.6.2.4.3.2.4.1.3 "><p id="mrs_01_1057__p52480366151146">Specifies whether to discard oversized messages.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row564512415126"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.4.3.2.4.1.1 "><p id="mrs_01_1057__p5460187115126">messageMaxLength</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.869999999999997%" headers="mcps1.3.6.2.4.3.2.4.1.2 "><p id="mrs_01_1057__p6067543515126">1000012</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.13%" headers="mcps1.3.6.2.4.3.2.4.1.3 "><p id="mrs_01_1057__p1576319915126">Specifies the maximum length of a message written by Flume to Kafka.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row15347111155920"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.4.3.2.4.1.1 "><p id="mrs_01_1057__p18363511205910">defaultPartitionId</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.869999999999997%" headers="mcps1.3.6.2.4.3.2.4.1.2 "><p id="mrs_01_1057__p2363181185916">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.13%" headers="mcps1.3.6.2.4.3.2.4.1.3 "><p id="mrs_01_1057__p2363811155913">Specifies the Kafka partition ID to which the events of a channel is transferred. The <strong id="mrs_01_1057__b119538232383426">partitionIdHeader</strong> value overwrites this parameter value. By default, if this parameter is left blank, events will be distributed by the Kafka Producer's partitioner (by a specified key or a partitioner customized by <strong id="mrs_01_1057__b53860704083426">kafka.partitioner.class</strong>).</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row20738142025913"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.4.3.2.4.1.1 "><p id="mrs_01_1057__p77381206596">partitionIdHeader</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.869999999999997%" headers="mcps1.3.6.2.4.3.2.4.1.2 "><p id="mrs_01_1057__p1873812206594">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.13%" headers="mcps1.3.6.2.4.3.2.4.1.3 "><p id="mrs_01_1057__p1673882014593">When you set this parameter, the sink will take the value of the field named using the value of this property from the event header and send the message to the specified partition of the topic. If the value does not have a valid partition, <strong id="mrs_01_1057__b3471539283426">EventDeliveryException</strong> is thrown. If the header value already exists, this setting overwrites the <strong id="mrs_01_1057__b34453281483426">defaultPartitionId</strong> parameter.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__re661fe594fef4ace9214faaefe40d5ac"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.6.2.4.3.2.4.1.1 "><p id="mrs_01_1057__a13bea4f4e5ab40faa0707de086527867">Other Kafka Producer Properties</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.869999999999997%" headers="mcps1.3.6.2.4.3.2.4.1.2 "><p id="mrs_01_1057__a5d42b02aeeab4398be0d9c49576b2723">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.13%" headers="mcps1.3.6.2.4.3.2.4.1.3 "><p id="mrs_01_1057__ad3ae16f3575c41758c874d1904c025ba">Specifies other Kafka configurations. This parameter can be set to any production configuration supported by Kafka, and the <span class="parmvalue" id="mrs_01_1057__parmvalue82866878283426"><b>.kafka</b></span> prefix must be added to the configuration.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1057__li266910242556"><strong id="mrs_01_1057__b15027552162224">Thrift Sink</strong><p id="mrs_01_1057__p957929716223">A Thrift sink converts events to Thrift events and sends them to the monitoring port of the configured host. Common configurations are as follows:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1057__table1910481216223" frame="border" border="1" rules="all"><caption><b>Table 14 </b>Common configurations of a Thrift sink</caption><thead align="left"><tr id="mrs_01_1057__row1450074116223"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.6.2.5.3.2.4.1.1"><p id="mrs_01_1057__p3370933316223"><strong id="mrs_01_1057__b664726194513">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.6.2.5.3.2.4.1.2"><p id="mrs_01_1057__p1225964816223"><strong id="mrs_01_1057__b117962816451">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.6.2.5.3.2.4.1.3"><p id="mrs_01_1057__p1180472016223"><strong id="mrs_01_1057__b6177163024510">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1057__row1570674516223"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.1 "><p id="mrs_01_1057__p6428679616223">channel</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.2 "><p id="mrs_01_1057__p3984802516223">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.3 "><p id="mrs_01_1057__p5818124016223">Specifies the channel connected to the sink.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row5386911516223"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.1 "><p id="mrs_01_1057__p132220916223">type</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.2 "><p id="mrs_01_1057__p3999011116223">thrift</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.3 "><p id="mrs_01_1057__p1797359816223">Specifies the type of the thrift sink, which must be set to <strong id="mrs_01_1057__b38275067783426">thrift</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row2754466216223"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.1 "><p id="mrs_01_1057__p1652511216223">hostname</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.2 "><p id="mrs_01_1057__p6346571116223">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.3 "><p id="mrs_01_1057__p4044899516223">Specifies the bound host name or IP address.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row2849663916223"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.1 "><p id="mrs_01_1057__p2652642416223">port</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.2 "><p id="mrs_01_1057__p115677016223">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.3 "><p id="mrs_01_1057__p2658957316223">Specifies the bound listening port. Ensure that this port is not occupied.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row3797956716223"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.1 "><p id="mrs_01_1057__p5644605716223">batch-size</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.2 "><p id="mrs_01_1057__p872788716223">1000</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.3 "><p id="mrs_01_1057__p3587028316223">Specifies the number of events sent in a batch.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row57715880162427"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.1 "><p id="mrs_01_1057__p44474716162427">connect-timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.2 "><p id="mrs_01_1057__p45682207162427">20000</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.3 "><p id="mrs_01_1057__p9271324162427">Specifies the timeout for the first connection, expressed in milliseconds.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row38388164162514"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.1 "><p id="mrs_01_1057__p22433542162514">request-timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.2 "><p id="mrs_01_1057__p5177629162514">20000</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.3 "><p id="mrs_01_1057__p16734833162514">Specifies the maximum timeout for a request after the first request, expressed in milliseconds.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row38436120162556"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.1 "><p id="mrs_01_1057__p26317995162556">kerberos</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.2 "><p id="mrs_01_1057__p51382822162556">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.3 "><p id="mrs_01_1057__p1259058162556">Specifies whether Kerberos authentication is enabled.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row22348100162634"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.1 "><p id="mrs_01_1057__p65365652162634">client-keytab</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.2 "><p id="mrs_01_1057__p60126469162634">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.3 "><p id="mrs_01_1057__p38405822162634">Specifies the path of the client <strong id="mrs_01_1057__b201844403683426">keytab</strong> file. The Flume running user must have the access permission on the authentication file.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row30415546162656"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.1 "><p id="mrs_01_1057__p47740194162656">client-principal</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.2 "><p id="mrs_01_1057__p41750490162656">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.3 "><p id="mrs_01_1057__p26346506162656">Specifies the principal of the security user used by the client.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row1192783162720"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.1 "><p id="mrs_01_1057__p29506587162720">server-principal</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.2 "><p id="mrs_01_1057__p41223307162720">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.3 "><p id="mrs_01_1057__p50753543162720">Specifies the principal of the security user used by the server.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row4285438716285"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.1 "><p id="mrs_01_1057__p4865328316285">compression-type</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.2 "><p id="mrs_01_1057__p4860182316285">none</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.3 "><p id="mrs_01_1057__p4443361616285">Specifies the compression type of data sent by Flume, which can be set to <strong id="mrs_01_1057__b29416339183426">none</strong> or <strong id="mrs_01_1057__b105177793083426">deflate</strong>. <strong id="mrs_01_1057__b141211814083426">none</strong> indicates that data is not compressed, while <strong id="mrs_01_1057__b98474813383426">deflate</strong> indicates that data is compressed.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row65790223162838"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.1 "><p id="mrs_01_1057__p27407880162838">maxConnections</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.2 "><p id="mrs_01_1057__p5445813162838">5</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.3 "><p id="mrs_01_1057__p38457727162838">Specifies the maximum size of the connection pool for Flume to send data.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row5439709116223"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.1 "><p id="mrs_01_1057__p4408828016223">ssl</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.2 "><p id="mrs_01_1057__p1438095016223">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.3 "><p id="mrs_01_1057__p2400627616223">Specifies whether to use SSL encryption.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row1472989216223"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.1 "><p id="mrs_01_1057__p5227062216223">truststore-type</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.2 "><p id="mrs_01_1057__p606198016223">JKS</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.3 "><p id="mrs_01_1057__p2125837516223">Specifies the Java trust store type.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row5710764816223"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.1 "><p id="mrs_01_1057__p6231679316223">truststore</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.2 "><p id="mrs_01_1057__p1449544216223">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.3 "><p id="mrs_01_1057__p3328011516223">Specifies the Java trust store file.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row3108558216223"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.1 "><p id="mrs_01_1057__p3490423916223">truststore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.2 "><p id="mrs_01_1057__p867114916223">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.3 "><p id="mrs_01_1057__p3127447916223">Specifies the Java trust store password.</p>
+</td>
+</tr>
+<tr id="mrs_01_1057__row14413203210363"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.1 "><p id="mrs_01_1057__p1141383213616">reset-connection-interval</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.2 "><p id="mrs_01_1057__p11413932153613">0</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.2.5.3.2.4.1.3 "><p id="mrs_01_1057__p8413153220366">Specifies the interval between a connection failure and a second connection, expressed in seconds. If the parameter is set to <strong id="mrs_01_1057__b155547028783426">0</strong>, the system continuously attempts to perform a connection.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1057__sa1212c243ba44628a9647d8fc38ef7b6"><h4 class="sectiontitle">Precautions</h4><ul id="mrs_01_1057__ul186161050165514"><li id="mrs_01_1057__li1061612502554">What are the reliability measures of Flume?<ul id="mrs_01_1057__ud38087f5b5b24a73be8f947d60b797e5"><li id="mrs_01_1057__l87387c82151943ab9b34fa09393240bc">Use the transaction mechanisms between Source and Channel as well as between Channel and Sink.</li><li id="mrs_01_1057__lf49f7cb3121146698282144dfb1d5934">Configure the failover and load_balance mechanisms for Sink Processor. The following shows a load balancing example.<pre class="screen" id="mrs_01_1057__s2a5a77f534084a1da98e02519cb7f927">server.sinkgroups=g1
+server.sinkgroups.g1.sinks=k1 k2
+server.sinkgroups.g1.processor.type=load_balance
+server.sinkgroups.g1.processor.backoff=true
+server.sinkgroups.g1.processor.selector=random</pre>
+</li></ul>
+</li></ul>
+<ul id="mrs_01_1057__ul399235314555"><li id="mrs_01_1057__li12992753195514">What are the precautions for the aggregation and cascading of multiple Flume agents?<ul id="mrs_01_1057__u5a2e278c761e42a3a30d0a9d59cc6ba8"><li id="mrs_01_1057__l5df284c8addb4f00a72623fecc736219">Avro or Thrift protocol can be used for cascading.</li><li id="mrs_01_1057__l0d6a2338a3744587b8f010d89ca35b11">When the aggregation end contains multiple nodes, evenly distribute the agents and do not aggregate all agents on a single node.</li></ul>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0390.html">Using Flume</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1058"></a><a name="mrs_01_1058"></a>
+
+<h1 class="topictitle1">Using Environment Variables in the <strong id="b122423008195737">properties.properties</strong> File</h1>
+<div id="body1590374507202"><div class="section" id="mrs_01_1058__section12555152919569"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1058__p117046135614">This section describes how to use environment variables in the <span class="filepath" id="mrs_01_1058__filepath19122132125713"><b>properties.properties</b></span> configuration file.</p>
+<p id="mrs_01_1058__p368722575015">This section applies to MRS 3.<em id="mrs_01_1058__i19149121217557">x</em> or later clusters.</p>
+</div>
+<div class="section" id="mrs_01_1058__section10507114814810"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_1058__p116666273506">The Flume service is running properly and the Flume client has been installed.</p>
+</div>
+<div class="section" id="mrs_01_1058__section10848424135713"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1058__ol16230164595713"><li id="mrs_01_1058__l104f86ac05e2439f8f5d92f2e259f4bf"><span>Log in to the node where the Flume client is installed as user <strong id="mrs_01_1058__b215831415436">root</strong>.</span></li><li id="mrs_01_1058__la850c196adc8463b938a2f7b74086cf6"><span>Switch to the following directory:</span><p><p id="mrs_01_1058__a0e7218b971b446ffb06097a4968b704d"><strong id="mrs_01_1058__b98788912157">cd </strong><em id="mrs_01_1058__i795758162312">Flume client installation directory</em>/<strong id="mrs_01_1058__b1036815642412">fusioninsight-flume</strong>-<span id="mrs_01_1058__text89595810236"><em id="mrs_01_1058__i13951588233">Flume component version</em></span>/<strong id="mrs_01_1058__b18051852415">conf</strong></p>
+</p></li><li id="mrs_01_1058__li87011950135713"><span>Add environment variables to the <strong id="mrs_01_1058__b1117374419440">flume-env.sh</strong> file in the directory.</span><p><ul id="mrs_01_1058__ul2471622818"><li id="mrs_01_1058__li94131618288">Format:<pre class="screen" id="mrs_01_1058__screen16294154810288">export <em id="mrs_01_1058__i1029614819283">Variable name</em><strong id="mrs_01_1058__b3296174882819">=</strong><em id="mrs_01_1058__i1029612484288">Variable value</em></pre>
+</li><li id="mrs_01_1058__li55316172812">Example:<pre class="screen" id="mrs_01_1058__screen8505156122612">JAVA_OPTS="-Xms2G -Xmx4G -XX:CMSFullGCsBeforeCompaction=1 -XX:+UseConcMarkSweepGC -XX:+CMSParallelRemarkEnabled -XX:+UseCMSCompactAtFullCollection -DpropertiesImplementation=org.apache.flume.node.EnvVarResolverProperties"
+export<strong id="mrs_01_1058__b562715533330"> </strong><em id="mrs_01_1058__i16538519308">TAILDIR_PATH</em><strong id="mrs_01_1058__b14289121310317">=</strong><em id="mrs_01_1058__i7290313173113">/tmp/flumetest/201907/20190703/1/.*log.*</em></pre>
+</li></ul>
+</p></li><li id="mrs_01_1058__li2883541153111"><span>Restart the Flume instance process.</span><p><ol type="a" id="mrs_01_1058__ol1249714174714"><li id="mrs_01_1058__li430015491542">Log in to FusionInsight Manager.</li><li id="mrs_01_1058__li1153122214455">Choose <strong id="mrs_01_1058__b24061123171420">Cluster</strong> &gt; <strong id="mrs_01_1058__b184141123191414">Services</strong> &gt; <strong id="mrs_01_1058__b5414152321412">Flume</strong>. On the page that is displayed, click the <strong id="mrs_01_1058__b44145237148">Instance</strong> tab, select all Flume instances, and choose <strong id="mrs_01_1058__b2415323171413">More</strong> &gt; <strong id="mrs_01_1058__b20415112311420">Restart Instance</strong>. In the displayed <strong id="mrs_01_1058__b1230041715518">Verify Identity</strong> dialog box, enter the password, and click <strong id="mrs_01_1058__b13415152310141">OK</strong>.</li></ol>
+<div class="notice" id="mrs_01_1058__note13624923751"><span class="noticetitle"><img src="public_sys-resources/notice_3.0-en-us.png"> </span><div class="noticebody"><p id="mrs_01_1058__p1952018145720">Do not restart the Flume service on FusionInsight Manager after <strong id="mrs_01_1058__b18381737192614">flume-env.sh</strong> takes effect on the server. Otherwise, the user-defined environment variables will lost. You only need to restart the corresponding instances on FusionInsight Manager.</p>
+</div></div>
+</p></li><li id="mrs_01_1058__li17459142018584"><a name="mrs_01_1058__li17459142018584"></a><a name="li17459142018584"></a><span>In the <em id="mrs_01_1058__i114983571777">Flume client installation directory</em><strong id="mrs_01_1058__b1449617571976">/fusioninsight-flume-</strong><span id="mrs_01_1058__text1735323818713"><em id="mrs_01_1058__i1235313381975">Flume component version number</em></span><strong id="mrs_01_1058__b153507386715">/conf/properties.properties</strong> configuration file, reference variables in the <strong id="mrs_01_1058__b55591385323">${</strong><em id="mrs_01_1058__i193213173217">Variable name</em><strong id="mrs_01_1058__b44630123327">}</strong> format. The following is an example:</span><p><pre class="screen" id="mrs_01_1058__screen155861125175814">client.sources.s1.type = TAILDIR
+client.sources.s1.filegroups = f1
+client.sources.s1.filegroups.f1 = ${TAILDIR_PATH}
+client.sources.s1.positionFile = /tmp/flumetest/201907/20190703/1/taildir_position.json
+client.sources.s1.channels = c1</pre>
+<div class="notice" id="mrs_01_1058__note106579226566"><span class="noticetitle"><img src="public_sys-resources/notice_3.0-en-us.png"> </span><div class="noticebody"><ul id="mrs_01_1058__ul352034215244"><li id="mrs_01_1058__li20520542112415">Ensure that <strong id="mrs_01_1058__b1634904810335">flume-env.sh</strong> takes effect before you go to <a href="#mrs_01_1058__li17459142018584">5</a> to configure the <strong id="mrs_01_1058__b22521723153413">properties.properties</strong> file.</li><li id="mrs_01_1058__li135201542132412">If you configure file on the local host, upload the file on FusionInsight Manager by performing the following steps. The user-defined environment variables may be lost if the operations are not performed in the correct sequence.<ol type="a" id="mrs_01_1058__ol1558471312518"><li id="mrs_01_1058__li11584111311256">Log in to FusionInsight Manager.</li><li id="mrs_01_1058__li2058441332514">Choose <strong id="mrs_01_1058__b11187133413419">Cluster</strong> &gt; <strong id="mrs_01_1058__b14553439174110">Services</strong> &gt; <strong id="mrs_01_1058__b12548164404113">Flume</strong>. On the page that is displayed, click the <strong id="mrs_01_1058__b3557559174118">Configurations</strong> tab, select the Flume instance, and click <strong id="mrs_01_1058__b4148138145313">Upload File</strong> next to <strong id="mrs_01_1058__b25652014135313">flume.config.file</strong> to upload the <strong id="mrs_01_1058__b4722192017538">properties.properties</strong> file.</li></ol>
+</li></ul>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0390.html">Using Flume</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1059.html b/docs/mrs/component-operation-guide/mrs_01_1059.html
new file mode 100644
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+<a name="mrs_01_1059"></a><a name="mrs_01_1059"></a>
+
+<h1 class="topictitle1">Non-Encrypted Transmission</h1>
+<div id="body1590374507203"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1060.html">Configuring Non-encrypted Transmission</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1061.html">Typical Scenario: Collecting Local Static Logs and Uploading Them to Kafka</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1063.html">Typical Scenario: Collecting Local Static Logs and Uploading Them to HDFS</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1064.html">Typical Scenario: Collecting Local Dynamic Logs and Uploading Them to HDFS</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1065.html">Typical Scenario: Collecting Logs from Kafka and Uploading Them to HDFS</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1066.html">Typical Scenario: Collecting Logs from Kafka and Uploading Them to HDFS Through the Flume Client</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1067.html">Typical Scenario: Collecting Local Static Logs and Uploading Them to HBase</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0390.html">Using Flume</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1060.html b/docs/mrs/component-operation-guide/mrs_01_1060.html
new file mode 100644
index 000000000..ac32013be
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+++ b/docs/mrs/component-operation-guide/mrs_01_1060.html
@@ -0,0 +1,73 @@
+<a name="mrs_01_1060"></a><a name="mrs_01_1060"></a>
+
+<h1 class="topictitle1">Configuring Non-encrypted Transmission</h1>
+<div id="body1590374508401"><div class="section" id="mrs_01_1060__s0cb97aa89f1042c392b9fc24e7e79513"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1060__a92d808868c404364ab104117b6232a4c">This section describes how to configure Flume server and client parameters after the cluster and the Flume service are installed to ensure proper running of the service.</p>
+<p id="mrs_01_1060__p141121017518">This section applies to MRS 3.<em id="mrs_01_1060__i151406210556">x</em> or later clusters.</p>
+<div class="note" id="mrs_01_1060__ndd160f8933b9446596783f2a07aa2bcc"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_1060__af7d3f8067de140f2a767cc90c25c51b8">By default, the cluster network environment is secure and the SSL authentication is not enabled during the data transmission process. For details about how to use the encryption mode, see <a href="mrs_01_1069.html">Configuring the Encrypted Transmission</a>.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1060__sc533d51b187b45f6a2bcd50ddc39556a"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1060__u6a6fc336add54ba58761fc908ff06fdc"><li id="mrs_01_1060__l72a28463ae7c4c799baf9e55efbaac0b">The cluster and Flume service have been installed.</li><li id="mrs_01_1060__l0422e75b03ea43a1b35a94aece09a7d5">The network environment of the cluster is secure.</li></ul>
+</div>
+<div class="section" id="mrs_01_1060__s9885d005d93044bbac2194705fc5bbb3"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1060__o3c64252cfec843d8b8d8a8c26b08b111"><li id="mrs_01_1060__le96ae0c738ff4bdba4df51e7993798d4"><span>Configure the client parameters of the Flume role.</span><p><ol type="a" id="mrs_01_1060__o5d1c24e994ae43e2bd154e8d3dbb6256"><li id="mrs_01_1060__lfd8ae66cbb11466299503fa720020ebd">Use the Flume configuration tool on FusionInsight Manager to configure the Flume role client parameters and generate a configuration file.<ol class="substepthirdol" id="mrs_01_1060__oe7fc5bbc227745d2ac7b46b0ace2a18e"><li id="mrs_01_1060__l8dd968f25b3d4922abb3edd7ac864e78">Log in to FusionInsight Manager. Choose<strong id="mrs_01_1060__b0297635158"> Cluster</strong> &gt; <strong id="mrs_01_1060__b530320315151">Services</strong> &gt; <strong id="mrs_01_1060__b530314311153">Flume</strong> &gt; <strong id="mrs_01_1060__b730393151519">Configuration Tool</strong>.</li><li id="mrs_01_1060__l41477adee2b542bd898ac4cbf283ded1">Set <strong id="mrs_01_1060__b6783713671035">Agent Name</strong> to <strong id="mrs_01_1060__b10998822221035">client</strong>. Select and drag the source, channel, and sink to be used to the GUI on the right, and connect them.<p id="mrs_01_1060__a091feaf306c74bd3a72bbb4a9b4e0830">For example, use SpoolDir Source, File Channel, and Avro Sink.</p>
+</li><li id="mrs_01_1060__lfbfd4056beb04a41b3956cd1496886ba">Double-click the source, channel, and sink. Set corresponding configuration parameters by referring to <a href="#mrs_01_1060__table1953421416017">Table 1</a> based on the actual environment.<div class="note" id="mrs_01_1060__n6f884795f52645489f9cd872cf62be78"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1060__uc07c46da58ed4ca381bda3a0eefdf4ec"><li id="mrs_01_1060__l9e5f446badd64ba2a171cfd8609c4bfc">If the client parameters of the Flume role have been configured, you can obtain the existing client parameter configuration file from <em id="mrs_01_1060__i4145102711035">client installation directory</em><strong id="mrs_01_1060__b13740975191035">/fusioninsight-flume-1.9.0/conf/properties.properties</strong> to ensure that the configuration is in concordance with the previous. Log in to FusionInsight Manager, choose <strong id="mrs_01_1060__b146852161618">Cluster</strong> &gt; <strong id="mrs_01_1060__b57573587107">Services</strong> &gt; <strong id="mrs_01_1060__b7446829111">Flume</strong> &gt; <strong id="mrs_01_1060__b3357197121114">Configuration</strong> &gt; <strong id="mrs_01_1060__b174123104119">Import</strong>, import the file, and modify the configuration items related to non-encrypted transmission.</li><li id="mrs_01_1060__lb018311b54284e728b7f99152cc19ce8">It is recommended that the numbers of Sources, Channels, and Sinks do not exceed 40 during configuration file import. Otherwise, the response time may be very long.</li></ul>
+</div></div>
+
+<div class="tablenoborder"><a name="mrs_01_1060__table1953421416017"></a><a name="table1953421416017"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1060__table1953421416017" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters to be modified for the Flume role client</caption><thead align="left"><tr id="mrs_01_1060__row11534141410012"><th align="left" class="cellrowborder" valign="top" width="16%" id="mcps1.3.3.2.1.2.1.1.1.3.3.2.4.1.1"><p id="mrs_01_1060__p11535111413017">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="55.00000000000001%" id="mcps1.3.3.2.1.2.1.1.1.3.3.2.4.1.2"><p id="mrs_01_1060__p12535161410019">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="28.999999999999996%" id="mcps1.3.3.2.1.2.1.1.1.3.3.2.4.1.3"><p id="mrs_01_1060__p253513149010">Example Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1060__row19535131416017"><td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.3.2.1.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1060__p15351414303">ssl</p>
+</td>
+<td class="cellrowborder" valign="top" width="55.00000000000001%" headers="mcps1.3.3.2.1.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1060__p85351614403">Specifies whether to enable the SSL authentication. (You are advised to enable this function to ensure security.)</p>
+<p id="mrs_01_1060__p453531410015">Only Sources of the Avro type have this configuration item.</p>
+<ul id="mrs_01_1060__ul153513141809"><li id="mrs_01_1060__li14535514607"><strong id="mrs_01_1060__b7888980491035">true</strong> indicates that the function is enabled.</li><li id="mrs_01_1060__li753581417017"><strong id="mrs_01_1060__b10892039401035">false</strong> indicates that the function is not enabled.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="28.999999999999996%" headers="mcps1.3.3.2.1.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1060__p953516141019">false</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1060__en-us_topic_0060028841_li28711884144">Click <strong id="mrs_01_1060__b14628654531035">Export</strong> to save the <strong id="mrs_01_1060__b12058647871035">properties.properties</strong> configuration file to the local server.</li></ol>
+</li><li id="mrs_01_1060__l25df333186c14858bd8554a9407ab49c">Upload the <strong id="mrs_01_1060__b19717498081035">properties.properties</strong> file to <strong id="mrs_01_1060__b13322427521035">flume/conf/</strong> under the installation directory of the Flume client.</li></ol>
+</p></li><li id="mrs_01_1060__led12e9da92e34b6bb134d4e8d55f87bd"><span>Configure the server parameters of the Flume role and upload the configuration file to the cluster.</span><p><ol type="a" id="mrs_01_1060__oebf6cfcb6dd4497987425fcbd0828492"><li id="mrs_01_1060__leac68130006945d09c4d7429c0ed4dea">Use the Flume configuration tool on the FusionInsight Manager portal to configure the server parameters and generate the configuration file.<ol class="substepthirdol" id="mrs_01_1060__o9bfd40d1591d452a9da6e48bb43384cd"><li id="mrs_01_1060__lcfddf79a865b476c9d406a1b3d165089">Log in to FusionInsight Manager. Choose<strong id="mrs_01_1060__b16289191410156"> Cluster</strong> &gt; <strong id="mrs_01_1060__b1295814181510">Services</strong> &gt; <strong id="mrs_01_1060__b5295191417151">Flume</strong> &gt; <strong id="mrs_01_1060__b1829515149153">Configuration Tool</strong>.</li><li id="mrs_01_1060__l329ebff58c6e4be1ba007882a5c546bc">Set <strong id="mrs_01_1060__b1097611161663">Agent Name</strong> to <strong id="mrs_01_1060__b998218166616">server</strong>. Select and drag the source, channel, and sink to be used to the GUI on the right, and connect them.<p id="mrs_01_1060__a834342b660f14a9d893d98cb4e8a9f0e">For example, use Avro Source, File Channel, and HDFS Sink.</p>
+</li><li id="mrs_01_1060__l764294befac24bdb8ab1a7f612c2a8b5">Double-click the source, channel, and sink. Set corresponding configuration parameters by referring to <a href="#mrs_01_1060__table1324711382017">Table 2</a> based on the actual environment.<div class="note" id="mrs_01_1060__na0b8a51a19cf4a26bfe868361d890e0d"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1060__u3c502f2d5daf4a6d8694e5a08dee716d"><li id="mrs_01_1060__l85a4267f7cd44fa2ada08a148d289d16">If the server parameters of the Flume role have been configured, you can choose <strong id="mrs_01_1060__b18922143951617">Cluster</strong> &gt; <strong id="mrs_01_1060__b15976065751035">Services</strong> &gt; <strong id="mrs_01_1060__b6773185821035">Flume</strong> &gt; <strong id="mrs_01_1060__b16397873401035">Instance</strong> on FusionInsight Manager. Then select the corresponding Flume role instance and click the <strong id="mrs_01_1060__b10447147731035">Download</strong> button behind the <span class="parmname" id="mrs_01_1060__parmname7672003841035"><b>flume.config.file</b></span> parameter on the <strong id="mrs_01_1060__b21018716781035">Instance Configurations</strong> page to obtain the existing server parameter configuration file. Choose <strong id="mrs_01_1060__b16903145331613">Cluster</strong> &gt; <strong id="mrs_01_1060__b2266115621716">Service</strong> &gt; <strong id="mrs_01_1060__b17327155818179">Flume</strong> &gt; <strong id="mrs_01_1060__b1183916001810">Configurations</strong> &gt; <strong id="mrs_01_1060__b84213331812">Import</strong>, import the file, and modify the configuration items related to non-encrypted transmission.</li><li id="mrs_01_1060__l9893349b35d444dc9ad0beaed31b18e5">It is recommended that the numbers of Sources, Channels, and Sinks do not exceed 40 during configuration file import. Otherwise, the response time may be very long.</li><li id="mrs_01_1060__l1657d86d3d5b4936b8ea1baea1bd72f9">A unique checkpoint directory needs to be configured for each File Channel.</li></ul>
+</div></div>
+
+<div class="tablenoborder"><a name="mrs_01_1060__table1324711382017"></a><a name="table1324711382017"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1060__table1324711382017" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Parameters to be modified for the Flume role server</caption><thead align="left"><tr id="mrs_01_1060__row192481438705"><th align="left" class="cellrowborder" valign="top" width="23.232323232323232%" id="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.1"><p id="mrs_01_1060__p0248038604">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="45.45454545454545%" id="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.2"><p id="mrs_01_1060__p102481538707">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="31.313131313131308%" id="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.3"><p id="mrs_01_1060__p92487381606">Example Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1060__row6248143810020"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1060__p1224820381908">ssl</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1060__p0248123815017">Specifies whether to enable the SSL authentication. (You are advised to enable this function to ensure security.)</p>
+<p id="mrs_01_1060__p424810385017">Only Sources of the Avro type have this configuration item.</p>
+<ul id="mrs_01_1060__ul19248133814010"><li id="mrs_01_1060__li32488382011"><strong id="mrs_01_1060__b1874554038">true</strong> indicates that the function is enabled.</li><li id="mrs_01_1060__li1524815387018"><strong id="mrs_01_1060__b699998174">false</strong> indicates that the function is not enabled.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1060__p624815381300">false</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1060__l8787b89531ab4cd1a676c5414a477fb9">Click <strong id="mrs_01_1060__b19559419681035">Export</strong> to save the <strong id="mrs_01_1060__b9901804491035">properties.properties</strong> configuration file to the local server.</li></ol>
+</li><li id="mrs_01_1060__lcc8b162262da4c1fbc1d81471491b9bf">Log in to FusionInsight Manager and choose <strong id="mrs_01_1060__b27329185171">Cluster</strong> &gt; <strong id="mrs_01_1060__b17529123817196">Services</strong> &gt; <strong id="mrs_01_1060__b1643934301915">Flume</strong>. On the <strong id="mrs_01_1060__b14483174881920">Instances</strong> tab page, click <strong id="mrs_01_1060__b634411573197">Flume</strong>.</li><li id="mrs_01_1060__l1161c4a409f147619d9777f40a7a3683">Select the Flume role of the node where the configuration file is to be uploaded, choose <strong id="mrs_01_1060__b4860754211036">Instance Configurations</strong> &gt; <strong id="mrs_01_1060__b21286565811036">Import</strong> beside the <span class="parmname" id="mrs_01_1060__parmname14000099201036"><b>flume.config.file</b></span>, and select the <strong id="mrs_01_1060__b3904656411036">properties.properties</strong> file.<div class="note" id="mrs_01_1060__n7d83ba7368a7433984a0625dfea03500"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1060__u1fb8afeba96d47da992fc20b6e8212d8"><li class="text" id="mrs_01_1060__l63941783c6e141be83bb589743f3fb8a">An independent server configuration file can be uploaded to each Flume instance.</li><li class="text" id="mrs_01_1060__l1d035f47eef546c397c051fe96bfdfb9">This step is required for updating the configuration file. Modifying the configuration file on the background is an improper operation because the modification will be overwritten after configuration synchronization.</li></ul>
+</div></div>
+</li><li id="mrs_01_1060__ledb4b015c8a4449b9db31de33960b6c0">Click <strong id="mrs_01_1060__b7404234441036">Save</strong>, and then click <strong id="mrs_01_1060__b10852687471036">OK</strong>.</li><li id="mrs_01_1060__le5826f44d69c44e190606472518934d6">Click <strong id="mrs_01_1060__b6328728401036">Finish</strong>.</li></ol>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1059.html">Non-Encrypted Transmission</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1061.html b/docs/mrs/component-operation-guide/mrs_01_1061.html
new file mode 100644
index 000000000..f978a32c6
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1061.html
@@ -0,0 +1,86 @@
+<a name="mrs_01_1061"></a><a name="mrs_01_1061"></a>
+
+<h1 class="topictitle1">Typical Scenario: Collecting Local Static Logs and Uploading Them to Kafka</h1>
+<div id="body1590374510129"><div class="section" id="mrs_01_1061__sb4292d86ee4d4301a6ed8d94c759bbf0"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1061__a1a87f111a4994e05bedaa228aa22d17e">This section describes how to use the Flume client to collect static logs from a local host and save them to the topic list (test1) of Kafka.</p>
+<p id="mrs_01_1061__p19632144014147">This section applies to MRS 3.<em id="mrs_01_1061__i4485192917554">x</em> or later clusters.</p>
+<div class="note" id="mrs_01_1061__n9a1d4f6c843f4dcb8debb5163332278a"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_1061__a40295110318540328da22f742b731724">By default, the cluster network environment is secure and the SSL authentication is not enabled during the data transmission process. For details about how to use the encryption mode, see <a href="mrs_01_1069.html">Configuring the Encrypted Transmission</a>. The configuration applies to scenarios where only the Flume is configured, for example, Spooldir Source+Memory Channel+Kafka Sink.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1061__sfc4c684a812747cf8c3afc3b8b429735"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1061__u374541c747074b609f90117bae1a6198"><li id="mrs_01_1061__l8f5176ac0c5c4e94bf5c50c6e4633edc">The cluster has been installed, including the Kafka and Flume services.</li><li id="mrs_01_1061__li3520154014471">The Flume client has been installed. For details, see <span id="mrs_01_1061__ph63412418173"><a href="https://docs.otc.t-systems.com/cmpntguide/mrs/mrs_01_0392.html" target="_blank" rel="noopener noreferrer">Installing the Flume Client</a></span>.</li><li id="mrs_01_1061__l5081f7a101754664b448c74312c8c4cf">The network environment of the cluster is secure.</li><li id="mrs_01_1061__l9dd282823a824afaac279e0ca570ae72">The system administrator has understood service requirements and prepared Kafka administrator <strong id="mrs_01_1061__a9a30eaf6867e4eb7a7780b2581d5f8c1">flume_kafka</strong>.</li></ul>
+</div>
+<div class="section" id="mrs_01_1061__sdfa5f91951c84fe79e83714e653a3fc2"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1061__oa5c9a24d30a74f52b7b2c6db2c241100"><li id="mrs_01_1061__l02501c0cfe9a4fbd809f2c7d4566a41a"><span>Set Flume parameters.</span><p><div class="p" id="mrs_01_1061__p3626173914490">Use the Flume configuration tool on Manager to configure the Flume role client parameters and generate a configuration file.<ol type="a" id="mrs_01_1061__o7fab656c6fe7470a98344503e8634778"><li id="mrs_01_1061__lbab9f3739a694163aba3fc51104ea36f">Log in to FusionInsight Manager. Choose <strong id="mrs_01_1061__b4470164095314">Cluster</strong> &gt; <strong id="mrs_01_1061__b130244759102134">Services</strong> &gt; <strong id="mrs_01_1061__b813114279102134">Flume</strong> &gt; <strong id="mrs_01_1061__b301622253102134">Configuration Tool</strong>.</li><li id="mrs_01_1061__l2776809973c144238c5478b5a7194c20">Set <strong id="mrs_01_1061__b1218125216517">Agent Name</strong> to <strong id="mrs_01_1061__b118318524513">client</strong>. Select and drag the source, channel, and sink to be used to the GUI on the right, and connect them.<p id="mrs_01_1061__a75859d8820cd4d458bdb0dc6264ef699">Use SpoolDir Source, Memory Channel, and Kafka Sink.</p>
+</li><li id="mrs_01_1061__le4bfc77b17f84934b3958c6bcc05d907">Double-click the source, channel, and sink. Set corresponding configuration parameters by referring to <a href="#mrs_01_1061__table1162101394616">Table 1</a> based on the actual environment.<div class="note" id="mrs_01_1061__nb4cd07b6914946a4b7627ff8c19f259e"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1061__u5a4b58996f8f4212bb25a699e4fe0ab3"><li id="mrs_01_1061__l5b6660b5c0194373a62a1b5bab02af92">If you want to continue using the <strong id="mrs_01_1061__b2074172613216">properties.propretites</strong> file by modifying it, log in to FusionInsight Manager, choose <strong id="mrs_01_1061__b675320411935">Cluster</strong> &gt; <strong id="mrs_01_1061__b71919371368">Services</strong>. On the page that is displayed, choose <strong id="mrs_01_1061__b199271050161216">Flume</strong>. On the displayed page, click the <strong id="mrs_01_1061__b13156103719144">Configuration Tool</strong> tab, click <strong id="mrs_01_1061__b6694542145">Import</strong>, import the file, and modify the configuration items related to non-encrypted transmission.</li><li id="mrs_01_1061__l0f621521cc9f4894ab3685beb8615426">It is recommended that the numbers of Sources, Channels, and Sinks do not exceed 40 during configuration file import. Otherwise, the response time may be very long.</li></ul>
+</div></div>
+
+<div class="tablenoborder"><a name="mrs_01_1061__table1162101394616"></a><a name="table1162101394616"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1061__table1162101394616" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters to be modified for the Flume role client</caption><thead align="left"><tr id="mrs_01_1061__row9162121304616"><th align="left" class="cellrowborder" valign="top" width="27.63%" id="mcps1.3.3.2.1.2.1.1.3.3.2.4.1.1"><p id="mrs_01_1061__p316281313464">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="40.339999999999996%" id="mcps1.3.3.2.1.2.1.1.3.3.2.4.1.2"><p id="mrs_01_1061__p181621513184610">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="32.029999999999994%" id="mcps1.3.3.2.1.2.1.1.3.3.2.4.1.3"><p id="mrs_01_1061__p141621513134617">Example Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1061__row1716281344610"><td class="cellrowborder" valign="top" width="27.63%" headers="mcps1.3.3.2.1.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1061__p1416219137464">Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.339999999999996%" headers="mcps1.3.3.2.1.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1061__p2162141318462">The value must be unique and cannot be left blank.</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.029999999999994%" headers="mcps1.3.3.2.1.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1061__p5162513104611">test</p>
+</td>
+</tr>
+<tr id="mrs_01_1061__row19162713164610"><td class="cellrowborder" valign="top" width="27.63%" headers="mcps1.3.3.2.1.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1061__p81623131466">spoolDir</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.339999999999996%" headers="mcps1.3.3.2.1.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1061__p316231324610">Specifies the directory where the file to be collected resides. This parameter cannot be left blank. The directory needs to exist and have the write, read, and execute permissions on the flume running user.</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.029999999999994%" headers="mcps1.3.3.2.1.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1061__p516241374620">/srv/BigData/hadoop/data1/zb</p>
+</td>
+</tr>
+<tr id="mrs_01_1061__row1116221311464"><td class="cellrowborder" valign="top" width="27.63%" headers="mcps1.3.3.2.1.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1061__p61627136466">trackerDir</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.339999999999996%" headers="mcps1.3.3.2.1.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1061__p10162101317465">Specifies the path for storing the metadata of files collected by Flume.</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.029999999999994%" headers="mcps1.3.3.2.1.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1061__p17162101311464">/srv/BigData/hadoop/data1/tracker</p>
+</td>
+</tr>
+<tr id="mrs_01_1061__row416213134467"><td class="cellrowborder" valign="top" width="27.63%" headers="mcps1.3.3.2.1.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1061__p11162111320467">batchSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.339999999999996%" headers="mcps1.3.3.2.1.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1061__p11162151354611">Specifies the number of events that Flume sends in a batch (number of data pieces). A larger value indicates higher performance and lower timeliness.</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.029999999999994%" headers="mcps1.3.3.2.1.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1061__p14163213114610">61200</p>
+</td>
+</tr>
+<tr id="mrs_01_1061__row216341316461"><td class="cellrowborder" valign="top" width="27.63%" headers="mcps1.3.3.2.1.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1061__p10163101318461">kafka.topics</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.339999999999996%" headers="mcps1.3.3.2.1.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1061__p141631913194619">Specifies the list of subscribed Kafka topics, which are separated by commas (,). This parameter cannot be left blank.</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.029999999999994%" headers="mcps1.3.3.2.1.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1061__p131631213144615">test1</p>
+</td>
+</tr>
+<tr id="mrs_01_1061__row11631513164617"><td class="cellrowborder" valign="top" width="27.63%" headers="mcps1.3.3.2.1.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1061__p51631613174620">kafka.bootstrap.servers</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.339999999999996%" headers="mcps1.3.3.2.1.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1061__p151631713174618">Specifies the bootstrap IP address and port list of Kafka. The default value is all Kafkabrokers in the Kafka cluster.</p>
+</td>
+<td class="cellrowborder" valign="top" width="32.029999999999994%" headers="mcps1.3.3.2.1.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1061__p1116331314611">192.168.101.10:21007</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1061__l14d98e844ee849a99592f46d8be65b86"><a name="mrs_01_1061__l14d98e844ee849a99592f46d8be65b86"></a><a name="l14d98e844ee849a99592f46d8be65b86"></a>Click <strong id="mrs_01_1061__b1557860543102134">Export</strong> to save the <strong id="mrs_01_1061__b1116006932102134">properties.properties</strong> configuration file to the local server.</li></ol>
+</div>
+</p></li><li id="mrs_01_1061__li451912490551"><span>Upload the configuration file.</span><p><p id="mrs_01_1061__p15504195085518">Upload the file exported in <a href="#mrs_01_1061__l14d98e844ee849a99592f46d8be65b86">1.d</a> to the <em id="mrs_01_1061__i4924175816416">Flume client installation directory</em><strong id="mrs_01_1061__b1823910175429">/fusioninsight-flume-</strong><span id="mrs_01_1061__text0410535195415"><em id="mrs_01_1061__i174101235175418">Flume component version number</em></span><strong id="mrs_01_1061__b6984113415429">/conf</strong> directory of the cluster.</p>
+</p></li></ol><ol start="3" id="mrs_01_1061__o822164196a4a487ab1025392c4fae8d6"><li id="mrs_01_1061__l846e2d5f007e4480912a32a5702a5855"><span>Verify log transmission.</span><p><ol type="a" id="mrs_01_1061__oc6ccc3660891409ebef5e7e8bb925965"><li id="mrs_01_1061__l8fc0b7d2b78d4890a51e7b9edaeab3b7">Log in to the Kafka client.<p id="mrs_01_1061__a60b9ddf8c4a04b30b94c9d45fa62374d"><a name="mrs_01_1061__l8fc0b7d2b78d4890a51e7b9edaeab3b7"></a><a name="l8fc0b7d2b78d4890a51e7b9edaeab3b7"></a><strong id="mrs_01_1061__en-us_topic_0060039167_b190688314321">cd </strong> <em id="mrs_01_1061__i8780114694319">Kafka client installation directory</em><strong id="mrs_01_1061__a3a813fe608ad4df98c1ce6fb8bed3ecb">/Kafka/kafka</strong></p>
+<p id="mrs_01_1061__a5a0e1114105349f3a5827313be1a5e69"><strong id="mrs_01_1061__b524242443102134">kinit flume_kafka</strong> (Enter the password.)</p>
+</li><li id="mrs_01_1061__l8a510158b48749c0b773c7f8032c2a05">Read data from a Kafka topic.<p id="mrs_01_1061__ac037886069764cdc801c3a5ceff831ab"><a name="mrs_01_1061__l8a510158b48749c0b773c7f8032c2a05"></a><a name="l8a510158b48749c0b773c7f8032c2a05"></a><strong id="mrs_01_1061__b560744742102134">bin/kafka-console-consumer.sh --topic</strong><em id="mrs_01_1061__i1908452769102134"> topic name</em><strong id="mrs_01_1061__b605046655102134"> --bootstrap-server</strong><em id="mrs_01_1061__i1327706676102134"> Kafka service IP address of the node where the role instance is located</em><strong id="mrs_01_1061__b214267791102134">: 21007 --consumer.config config/consumer.properties --from-beginning</strong></p>
+<p id="mrs_01_1061__a1a6638a05c5246c881eb0d352140a1f0">The system displays the contents of the file to be collected.</p>
+<pre class="screen" id="mrs_01_1061__s921b4139dc0b4ec18fabafbd711337dc">[root@host1 kafka]# bin/kafka-console-consumer.sh --topic test1 --bootstrap-server 192.168.101.10:21007 --consumer.config config/consumer.properties --from-beginning
+Welcome to flume</pre>
+</li></ol>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1059.html">Non-Encrypted Transmission</a></div>
+</div>
+</div>
+
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+++ b/docs/mrs/component-operation-guide/mrs_01_1063.html
@@ -0,0 +1,110 @@
+<a name="mrs_01_1063"></a><a name="mrs_01_1063"></a>
+
+<h1 class="topictitle1">Typical Scenario: Collecting Local Static Logs and Uploading Them to HDFS</h1>
+<div id="body1590374512545"><div class="section" id="mrs_01_1063__sd936279cfd4b48a5a4f13dbea164ae09"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1063__a06d014bf44504ba795e9aefaae1f28d5">This section describes how to use the Flume client to collect static logs from a local host and save them to the <span class="filepath" id="mrs_01_1063__f7f77a13715ff414088f0d135b11a0c78"><b>/flume/test</b></span> directory on HDFS.</p>
+<p id="mrs_01_1063__p45521841194117">This section applies to MRS 3.<em id="mrs_01_1063__i106387468554">x</em> or later clusters.</p>
+<div class="note" id="mrs_01_1063__n62dd56fa81ec4e9dbed2fcf675402a33"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_1063__ac0df4c4305164cef9f95e4813b6aa41d">By default, the cluster network environment is secure and the SSL authentication is not enabled during the data transmission process. For details about how to use the encryption mode, see <a href="mrs_01_1069.html">Configuring the Encrypted Transmission</a>. The configuration applies to scenarios where only the Flume is configured, for example, Spooldir Source+Memory Channel+HDFS Sink.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1063__s3b138091e72a44c8b100401b6a26f567"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1063__u371dad61dceb4f8a882864e7f8c6a40c"><li id="mrs_01_1063__l35751eb7600441c0ac0997919bcc4bd8">The cluster has been installed, including the HDFS and Flume services.</li><li id="mrs_01_1063__li3520154014471">The Flume client has been installed. For details, see <span id="mrs_01_1063__ph4674191117468"><a href="https://docs.otc.t-systems.com/cmpntguide/mrs/mrs_01_0392.html" target="_blank" rel="noopener noreferrer">Installing the Flume Client</a></span>.</li><li id="mrs_01_1063__l422a4237a02a46f18a0a64ebd40c8a47">The network environment of the cluster is secure.</li><li id="mrs_01_1063__lc8458f45d6b240f7b359f47b960c653a">User <strong id="mrs_01_1063__en-us_topic_0060449096_b359398421720">flume_hdfs</strong> has been created, and the HDFS directory and data used for log verification have been authorized to the user.</li></ul>
+</div>
+<div class="section" id="mrs_01_1063__s94d96842aa0942c5b144327bcdd31863"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1063__o80fa0c90d95b4d088f3632564429224d"><li id="mrs_01_1063__ld32edbefbf764de7b81590edfd8c4aa3"><span>On FusionInsight Manager, choose <span class="menucascade" id="mrs_01_1063__menucascade26289339141948"><b><span class="uicontrol" id="mrs_01_1063__uicontrol56662865141948">System</span></b> &gt; <b><span class="uicontrol" id="mrs_01_1063__uicontrol40203739141948">Permission &gt; User</span></b></span>, select user <strong id="mrs_01_1063__b1058615132916">flume_hdfs</strong>, and choose <strong id="mrs_01_1063__b13761537132118">More</strong> &gt; <strong id="mrs_01_1063__b17962133913219">Download Authentication Credential</strong> to download the Kerberos certificate file of user <strong id="mrs_01_1063__b1031406687114110">flume_hdfs</strong> and save it to the local host.</span></li><li id="mrs_01_1063__lf6d68ef89d49449d998c16ff13cf5512"><span>Set Flume parameters.</span><p><div class="p" id="mrs_01_1063__p168656144123">Use Flume on FusionInsight Manager to configure the Flume role client parameters and generate a configuration file.<ol type="a" id="mrs_01_1063__o6f87b336f5754eb7be5e2bd34064dba4"><li id="mrs_01_1063__l2736e7d8da6a487eb95431a2db047fba">Log in to FusionInsight Manager. Choose <strong id="mrs_01_1063__b1718175582113">Cluster</strong> &gt; <strong id="mrs_01_1063__b0546776547">Services</strong> &gt; <strong id="mrs_01_1063__b11529217135415">Flume</strong> &gt; <strong id="mrs_01_1063__b231383511546">Configuration Tool</strong>.</li><li id="mrs_01_1063__l8364d7da101d4d20a30c3e7ede66a4c8">Set <strong id="mrs_01_1063__b226384413114110">Agent Name</strong> to <strong id="mrs_01_1063__b2053388972114110">client</strong>. Select the source, channel, and sink to be used, drag them to the GUI on the right, and connect them.<p id="mrs_01_1063__en-us_topic_0060449096_p63374759472">Use SpoolDir Source, Memory Channel, and HDFS Sink.</p>
+</li><li id="mrs_01_1063__l10e9c50d81dc490792f366a114e9291d">Double-click the source, channel, and sink. Set corresponding configuration parameters by referring to <a href="#mrs_01_1063__table10698142517481">Table 1</a> based on the actual environment.<div class="note" id="mrs_01_1063__nfb5b97992fbb48b29b08371eb99ee352"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1063__en-us_topic_0060449096_ul16701249472"><li id="mrs_01_1063__l6c95ced6eb934811973737b088a19900">If you want to continue using the <strong id="mrs_01_1063__b436719219314">properties.propretites</strong> file by modifying it, log in to FusionInsight Manager, choose <strong id="mrs_01_1063__b143676219318">Cluster</strong> &gt; <em id="mrs_01_1063__i575334123113">Name of the desired cluster</em> &gt; <strong id="mrs_01_1063__b15367328318">Services</strong>. On the page that is displayed, choose <strong id="mrs_01_1063__b1336802173116">Flume</strong>. On the displayed page, click the <strong id="mrs_01_1063__b3368221313">Configuration Tool</strong> tab, click <strong id="mrs_01_1063__b1836872123119">Import</strong>, import the file, and modify the configuration items related to non-encrypted transmission.</li><li id="mrs_01_1063__en-us_topic_0060449096_li95615519472">It is recommended that the numbers of Sources, Channels, and Sinks do not exceed 40 during configuration file import. Otherwise, the response time may be very long.</li></ul>
+</div></div>
+
+<div class="tablenoborder"><a name="mrs_01_1063__table10698142517481"></a><a name="table10698142517481"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1063__table10698142517481" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters to be modified for the Flume role client</caption><thead align="left"><tr id="mrs_01_1063__row269932512484"><th align="left" class="cellrowborder" valign="top" width="25.929999999999996%" id="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1"><p id="mrs_01_1063__p16699925174811">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="37.3%" id="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2"><p id="mrs_01_1063__p8700202564812">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="36.77%" id="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3"><p id="mrs_01_1063__p1970012259481">Example Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1063__row1070042564818"><td class="cellrowborder" valign="top" width="25.929999999999996%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1063__p20700122524816">Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.3%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1063__p3700122518487">The value must be unique and cannot be left blank.</p>
+</td>
+<td class="cellrowborder" valign="top" width="36.77%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1063__p15700152544810">test</p>
+</td>
+</tr>
+<tr id="mrs_01_1063__row37001525184820"><td class="cellrowborder" valign="top" width="25.929999999999996%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1063__p470052510486">spoolDir</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.3%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1063__p147007257485">Specifies the directory where the file to be collected resides. This parameter cannot be left blank. The directory needs to exist and have the write, read, and execute permissions on the flume running user.</p>
+</td>
+<td class="cellrowborder" valign="top" width="36.77%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1063__p117001025164812">/srv/BigData/hadoop/data1/zb</p>
+</td>
+</tr>
+<tr id="mrs_01_1063__row470042515485"><td class="cellrowborder" valign="top" width="25.929999999999996%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1063__p57001625174817">trackerDir</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.3%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1063__p1170011256483">Specifies the path for storing the metadata of files collected by Flume.</p>
+</td>
+<td class="cellrowborder" valign="top" width="36.77%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1063__p27001825114810">/srv/BigData/hadoop/data1/tracker</p>
+</td>
+</tr>
+<tr id="mrs_01_1063__row270062515483"><td class="cellrowborder" valign="top" width="25.929999999999996%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1063__p270017255480">batchSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.3%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1063__p57001925134815">Specifies the number of events that Flume sends in a batch.</p>
+</td>
+<td class="cellrowborder" valign="top" width="36.77%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1063__p137008257484">61200</p>
+</td>
+</tr>
+<tr id="mrs_01_1063__row270052519484"><td class="cellrowborder" valign="top" width="25.929999999999996%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1063__p15700122514483">hdfs.path</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.3%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1063__p870092564817">Specifies the HDFS data write directory. This parameter cannot be left blank.</p>
+</td>
+<td class="cellrowborder" valign="top" width="36.77%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1063__p187001258485">hdfs://hacluster/flume/test</p>
+</td>
+</tr>
+<tr id="mrs_01_1063__row1870082514485"><td class="cellrowborder" valign="top" width="25.929999999999996%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1063__p970032564814">hdfs.filePrefix</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.3%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1063__p15701102513481">Specifies the file name prefix after data is written to HDFS.</p>
+</td>
+<td class="cellrowborder" valign="top" width="36.77%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1063__p19701112512483">TMP_</p>
+</td>
+</tr>
+<tr id="mrs_01_1063__row87011825134815"><td class="cellrowborder" valign="top" width="25.929999999999996%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1063__p1670132510488">hdfs.batchSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.3%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1063__p137012259482">Specifies the maximum number of events that can be written to HDFS once.</p>
+</td>
+<td class="cellrowborder" valign="top" width="36.77%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1063__p117011625124820">61200</p>
+</td>
+</tr>
+<tr id="mrs_01_1063__row15701125124818"><td class="cellrowborder" valign="top" width="25.929999999999996%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1063__p1770122584814">hdfs.kerberosPrincipal</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.3%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1063__p57011725114818">Specifies the Kerberos authentication user, which is mandatory in security versions. This configuration is required only in security clusters.</p>
+</td>
+<td class="cellrowborder" valign="top" width="36.77%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1063__p3701182564810">flume_hdfs</p>
+</td>
+</tr>
+<tr id="mrs_01_1063__row0701172518488"><td class="cellrowborder" valign="top" width="25.929999999999996%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1063__p7701525134817">hdfs.kerberosKeytab</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.3%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1063__p8701125104813">Specifies the keytab file path for Kerberos authentication, which is mandatory in security versions. This configuration is required only in security clusters.</p>
+</td>
+<td class="cellrowborder" valign="top" width="36.77%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1063__p1701182544810">/opt/test/conf/user.keytab</p>
+<div class="note" id="mrs_01_1063__note107011525194815"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1063__p12701162574819">Obtain the <strong id="mrs_01_1063__b994402948114110">user.keytab</strong> file from the Kerberos certificate file of the user <strong id="mrs_01_1063__b1762268212114110">flume_hdfs</strong>. In addition, ensure that the user who installs and runs the Flume client has the read and write permissions on the <strong id="mrs_01_1063__b276824867114110">user.keytab</strong> file.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1063__row17016252481"><td class="cellrowborder" valign="top" width="25.929999999999996%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1063__p17701202519483">hdfs.useLocalTimeStamp</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.3%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1063__p270152594818">Specifies whether to use the local time. Possible values are <strong id="mrs_01_1063__b1825811415432">true</strong> and <strong id="mrs_01_1063__b4601151744318">false</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="36.77%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1063__p370192524819">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1063__ld87a5f43900a41ad8cda390510028ae7"><a name="mrs_01_1063__ld87a5f43900a41ad8cda390510028ae7"></a><a name="ld87a5f43900a41ad8cda390510028ae7"></a>Click <strong id="mrs_01_1063__b356595356114110">Export</strong> to save the <strong id="mrs_01_1063__b704915880114110">properties.properties</strong> configuration file to the local.</li></ol>
+</div>
+</p></li><li id="mrs_01_1063__li132117375126"><span>Upload the configuration file.</span><p><p id="mrs_01_1063__p59401337141213">Upload the file exported in <a href="#mrs_01_1063__ld87a5f43900a41ad8cda390510028ae7">2.d</a> to the <em id="mrs_01_1063__i6273101514468">Flume client installation directory</em><strong id="mrs_01_1063__b19274101514617">/fusioninsight-flume-</strong><span id="mrs_01_1063__text18275191524619"><em id="mrs_01_1063__i15274415194615">Flume component version number</em></span><strong id="mrs_01_1063__b5275115184613">/conf</strong> directory of the cluster.</p>
+</p></li></ol><ol start="4" id="mrs_01_1063__ob4482376af6740b7b3f9c5d1b4e1682c"><li id="mrs_01_1063__l93ce1335184e4ce9aa32e1c542d5a685"><span>Verify log transmission.</span><p><ol type="a" id="mrs_01_1063__o6208a243f2544cd084331e1e7270e849"><li id="mrs_01_1063__l2b759063d196415494b155f6619dff26">Log in to FusionInsight Manager as a user who has the management permission on HDFS. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. Choose <strong id="mrs_01_1063__b11378195143511">Cluster</strong> &gt; <strong id="mrs_01_1063__b181512714442">Services</strong> &gt; <strong id="mrs_01_1063__b13913192915447">HDFS</strong>. On the page that is displayed, click the <strong id="mrs_01_1063__b1888341519810">NameNode(</strong><em id="mrs_01_1063__i162222615815">Node name</em><strong id="mrs_01_1063__b1161712213812">,Active)</strong> link next to <strong id="mrs_01_1063__b10906122834414">NameNode WebUI</strong> to go to the HDFS web UI. On the displayed page, choose <strong id="mrs_01_1063__b13279304292">Utilities</strong> &gt; <strong id="mrs_01_1063__b16774210298">Browse the file system</strong>.</li><li id="mrs_01_1063__l286cce5896fd444ab9753fdc12738d1e">Check whether the data is generated in the <strong id="mrs_01_1063__b1836306070114110">/flume/test</strong> directory on the HDFS.</li></ol>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1059.html">Non-Encrypted Transmission</a></div>
+</div>
+</div>
+
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@@ -0,0 +1,111 @@
+<a name="mrs_01_1064"></a><a name="mrs_01_1064"></a>
+
+<h1 class="topictitle1">Typical Scenario: Collecting Local Dynamic Logs and Uploading Them to HDFS</h1>
+<div id="body1590374513444"><div class="section" id="mrs_01_1064__sdda1342b18904e9da5e591abab7a4475"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1064__a5d2a5f497df244a3921856479ced46d8">This section describes how to use the Flume client to collect dynamic logs from a local host and save them to the <span class="filepath" id="mrs_01_1064__filepath8916518466"><b>/flume/test</b></span> directory on HDFS.</p>
+<p id="mrs_01_1064__p1190153615238">This section applies to MRS 3.<em id="mrs_01_1064__i14138155718553">x</em> or later clusters.</p>
+<div class="note" id="mrs_01_1064__n148d01d4dd75467785f82c085a257092"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_1064__a8073caae9f9f4797b11c7337b6233a1f">By default, the cluster network environment is secure and the SSL authentication is not enabled during the data transmission process. For details about how to use the encryption mode, see <a href="mrs_01_1069.html">Configuring the Encrypted Transmission</a>. The configuration applies to scenarios where only the Flume is configured, for example, Taildir Source+Memory Channel+HDFS Sink.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1064__s06c379243c8c47bab0eeab33003fa60b"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1064__ub171efdeb6c44516964e0654d30a1175"><li id="mrs_01_1064__l50a104139b3b4d0186cc2bceee3f48c5">The cluster has been installed, including the HDFS and Flume services.</li><li id="mrs_01_1064__li3520154014471">The Flume client has been installed. For details, see <span id="mrs_01_1064__ph19119161518475"><a href="https://docs.otc.t-systems.com/cmpntguide/mrs/mrs_01_0392.html" target="_blank" rel="noopener noreferrer">Installing the Flume Client</a></span>.</li><li id="mrs_01_1064__le2f1b6b3956b4407b1369ba29e202188">The network environment of the cluster is secure.</li><li id="mrs_01_1064__l15430c7cde61469c9dabcce2bf7a26c5">You have created user <strong id="mrs_01_1064__b10124164511714">flume_hdfs</strong> and authorized the HDFS directory and data to be operated during log verification.</li></ul>
+</div>
+<div class="section" id="mrs_01_1064__sab6c60ede75b4ed0ae6e0527b599d4ab"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1064__ofc08111386ec47d38a94ece151ea677f"><li id="mrs_01_1064__ld7ad919a407842eb8af3e715fde0dde6"><span>On FusionInsight Manager, choose <span class="menucascade" id="mrs_01_1064__menucascade129541557205219"><b><span class="uicontrol" id="mrs_01_1064__uicontrol1095435785218">System &gt; User</span></b></span> and choose <span class="menucascade" id="mrs_01_1064__menucascade5955205755217"><b><span class="uicontrol" id="mrs_01_1064__uicontrol09542573525">More &gt; Download Authentication Credential</span></b></span> to download the Kerberos certificate file of user <strong id="mrs_01_1064__b15955175719524">flume_hdfs</strong> and save it to the local host.</span></li><li id="mrs_01_1064__l448445cf61eb40d9ac54153394022349"><span>Set Flume parameters.</span><p><div class="p" id="mrs_01_1064__p432301919148">Use the Flume configuration tool on FusionInsight Manager to configure the Flume role client parameters and generate a configuration file.<ol type="a" id="mrs_01_1064__o34f76daf400f47bc9f3add2f4c9a7b12"><li id="mrs_01_1064__l70d02c82c067447ca218d049d9c39c38">Log in to FusionInsight Manager and choose<strong id="mrs_01_1064__b168970384395"> Cluster</strong> &gt; <strong id="mrs_01_1064__b189873843912">Services</strong>. On the page that is displayed, choose <strong id="mrs_01_1064__b19898143817397">Flume</strong>. On the displayed page, click the  <strong id="mrs_01_1064__b1689953843913">Configuration Tool</strong> tab.</li><li id="mrs_01_1064__l209bc5e7a8ac464e9973353eff1aa633">Set <strong id="mrs_01_1064__b184525911354732">Agent Name</strong> to <strong id="mrs_01_1064__b158534629854732">client</strong>. Select the source, channel, and sink to be used, drag them to the GUI on the right, and connect them.<p id="mrs_01_1064__a1ddd4b509c834d00bedb7780be011035">Use Taildir Source, Memory Channel, and HDFS Sink.</p>
+</li><li id="mrs_01_1064__l4efe027192324e5a9cac196947276131">Double-click the source, channel, and sink. Set corresponding configuration parameters by referring to <a href="#mrs_01_1064__table275562484">Table 1</a> based on the actual environment.<div class="note" id="mrs_01_1064__n6e73ff484a674be3a1edcd17332110f2"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1064__u35f2274086a343d09cf29cb7d255c5dd"><li id="mrs_01_1064__l354eb65124f84e48a3816157e353b9c2">If you want to continue using the <strong id="mrs_01_1064__b13211191864819">properties.propretites</strong> file by modifying it, log in to FusionInsight Manager, choose <strong id="mrs_01_1064__b1421291812483">Cluster</strong> &gt; <em id="mrs_01_1064__i19212141812483">Name of the desired cluster</em> &gt; <strong id="mrs_01_1064__b4212111819481">Services</strong>. On the page that is displayed, choose <strong id="mrs_01_1064__b2021351814486">Flume</strong>. On the displayed page, click the <strong id="mrs_01_1064__b321331816482">Configuration Tool</strong> tab, click <strong id="mrs_01_1064__b521371844814">Import</strong>, import the file, and modify the configuration items related to non-encrypted transmission.</li><li id="mrs_01_1064__lb73d10dbd6aa43b098b5fe71b3b01518">It is recommended that the numbers of Sources, Channels, and Sinks do not exceed 40 during configuration file import. Otherwise, the response time may be very long.</li></ul>
+</div></div>
+
+<div class="tablenoborder"><a name="mrs_01_1064__table275562484"></a><a name="table275562484"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1064__table275562484" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters to be modified for the Flume role client</caption><thead align="left"><tr id="mrs_01_1064__row177105611489"><th align="left" class="cellrowborder" valign="top" width="24.13%" id="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1"><p id="mrs_01_1064__p2718561486">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="38.81%" id="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2"><p id="mrs_01_1064__p6718564488">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="37.059999999999995%" id="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3"><p id="mrs_01_1064__p1371956144818">Example Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1064__row107165615485"><td class="cellrowborder" valign="top" width="24.13%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1064__p1976569487">Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.81%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1064__p0715560489">The value must be unique and cannot be left blank.</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.059999999999995%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1064__p47175634810">test</p>
+</td>
+</tr>
+<tr id="mrs_01_1064__row37056104812"><td class="cellrowborder" valign="top" width="24.13%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1064__p177165654817">filegroups</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.81%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1064__p378568488">Specifies the file group list name. This parameter cannot be left blank. The value contains the following two parts:</p>
+<ul id="mrs_01_1064__ul1771561487"><li id="mrs_01_1064__li157145611481"><strong id="mrs_01_1064__b193038341418">Name</strong>: name of the file group list.</li><li id="mrs_01_1064__li97856154816"><strong id="mrs_01_1064__b159784813115">filegroups</strong>: absolute path of dynamic log files.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="37.059999999999995%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1064__p17845644811">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1064__row19812561484"><td class="cellrowborder" valign="top" width="24.13%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1064__p981756184811">positionFile</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.81%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1064__p148205684812">Specifies the location where the collected file information (file name and location from which the file collected) is saved. This parameter cannot be left blank. The file does not need to be created manually, but the Flume running user needs to have the write permission on its upper-level directory.</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.059999999999995%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1064__p2816564487">/home/omm/flume/positionfile</p>
+</td>
+</tr>
+<tr id="mrs_01_1064__row138115618481"><td class="cellrowborder" valign="top" width="24.13%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1064__p128125644815">batchSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.81%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1064__p1687568482">Specifies the number of events that Flume sends in a batch.</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.059999999999995%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1064__p17885684818">61200</p>
+</td>
+</tr>
+<tr id="mrs_01_1064__row3855604816"><td class="cellrowborder" valign="top" width="24.13%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1064__p178956164819">hdfs.path</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.81%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1064__p1883566483">Specifies the HDFS data write directory. This parameter cannot be left blank.</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.059999999999995%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1064__p188105674811">hdfs://hacluster/flume/test</p>
+</td>
+</tr>
+<tr id="mrs_01_1064__row78115619483"><td class="cellrowborder" valign="top" width="24.13%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1064__p128125617487">hdfs.filePrefix</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.81%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1064__p5835694815">Specifies the file name prefix after data is written to HDFS.</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.059999999999995%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1064__p188145618482">TMP_</p>
+</td>
+</tr>
+<tr id="mrs_01_1064__row10817567481"><td class="cellrowborder" valign="top" width="24.13%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1064__p19817562483">hdfs.batchSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.81%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1064__p1488560489">Specifies the maximum number of events that can be written to HDFS once.</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.059999999999995%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1064__p15895654816">61200</p>
+</td>
+</tr>
+<tr id="mrs_01_1064__row28155684810"><td class="cellrowborder" valign="top" width="24.13%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1064__p16811560482">hdfs.kerberosPrincipal</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.81%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1064__p108125654811">Specifies the Kerberos authentication user, which is mandatory in security versions. This configuration is required only in security clusters.</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.059999999999995%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1064__p58115615487">flume_hdfs</p>
+</td>
+</tr>
+<tr id="mrs_01_1064__row1581256194813"><td class="cellrowborder" valign="top" width="24.13%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1064__p1085568481">hdfs.kerberosKeytab</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.81%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1064__p1384566481">Specifies the keytab file path for Kerberos authentication, which is mandatory in security versions. This configuration is required only in security clusters.</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.059999999999995%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1064__p6815614481">/opt/test/conf/user.keytab</p>
+<div class="note" id="mrs_01_1064__note2935654814"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1064__p29456154814">Obtain the <strong id="mrs_01_1064__b109342336354732">user.keytab</strong> file from the Kerberos certificate file of the user <strong id="mrs_01_1064__b43325796654732">flume_hdfs</strong>. In addition, ensure that the user who installs and runs the Flume client has the read and write permissions on the <strong id="mrs_01_1064__b58107808154732">user.keytab</strong> file.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1064__row4905619489"><td class="cellrowborder" valign="top" width="24.13%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1064__p119125684819">hdfs.useLocalTimeStamp</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.81%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1064__p9985613482">Specifies whether to use the local time. Possible values are <strong id="mrs_01_1064__b80873488154732">true</strong> and <strong id="mrs_01_1064__b118495203354732">false</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.059999999999995%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1064__p6985674813">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1064__l78938a30f82d4a5283b7c4aaa1bb79b1"><a name="mrs_01_1064__l78938a30f82d4a5283b7c4aaa1bb79b1"></a><a name="l78938a30f82d4a5283b7c4aaa1bb79b1"></a>Click <strong id="mrs_01_1064__b141082691454732">Export</strong> to save the <strong id="mrs_01_1064__b15681578154732">properties.properties</strong> configuration file to the local.</li></ol>
+</div>
+</p></li><li id="mrs_01_1064__li641934318148"><span>Upload the configuration file.</span><p><p id="mrs_01_1064__p299714411415">Upload the file exported in <a href="#mrs_01_1064__l78938a30f82d4a5283b7c4aaa1bb79b1">2.d</a> to the <em id="mrs_01_1064__i1474731720472">Flume client installation directory</em><strong id="mrs_01_1064__b12748121714472">/fusioninsight-flume-</strong><span id="mrs_01_1064__text574921784710"><em id="mrs_01_1064__i19749617154719">Flume component version number</em></span><strong id="mrs_01_1064__b474911717479">/conf</strong> directory of the cluster.</p>
+</p></li></ol><ol start="4" id="mrs_01_1064__o459d32d154134b2283f1310d032ba9e0"><li id="mrs_01_1064__l606003fd5fee4e08a4d702c49e1ada56"><span>Verify log transmission.</span><p><ol type="a" id="mrs_01_1064__o4210a083bc3d4707aa6f740325e6e2d8"><li id="mrs_01_1064__l12f48276ae8d42f491602b3838d87713">Log in to FusionInsight Manager as a user who has the management permission on HDFS. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. Choose <strong id="mrs_01_1064__b36412264482">Cluster</strong> &gt; <strong id="mrs_01_1064__b26572613483">Services</strong> &gt; <strong id="mrs_01_1064__b10651526104816">HDFS</strong>. On the page that is displayed, click the <strong id="mrs_01_1064__b87701819457">NameNode(</strong><em id="mrs_01_1064__i0306727558">Node name</em><strong id="mrs_01_1064__b57405234511">,Active)</strong> link next to <strong id="mrs_01_1064__b66512674815">NameNode WebUI</strong> to go to the HDFS web UI. On the displayed page, choose <strong id="mrs_01_1064__b166614267480">Utilities</strong> &gt; <strong id="mrs_01_1064__b666182614486">Browse the file system</strong>.</li><li id="mrs_01_1064__l8f465fb880d04703ab7b31d5349e6528">Check whether the data is generated in the <strong id="mrs_01_1064__b173985711654732">/flume/test</strong> directory on the HDFS.</li></ol>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1059.html">Non-Encrypted Transmission</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1065"></a><a name="mrs_01_1065"></a>
+
+<h1 class="topictitle1">Typical Scenario: Collecting Logs from Kafka and Uploading Them to HDFS</h1>
+<div id="body1590374514342"><div class="section" id="mrs_01_1065__sa06487045b2a46959003725608759034"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1065__ad2f1b0536d754b7985d8044694d2b0cd">This section describes how to use the Flume client to collect logs from the topic list (test1) of Kafka and save them to the <span class="filepath" id="mrs_01_1065__filepath436743518476"><b>/flume/test</b></span> directory on HDFS.</p>
+<p id="mrs_01_1065__p1190153615238">This section applies to MRS 3.<em id="mrs_01_1065__i4635135135616">x</em> or later clusters.</p>
+<div class="note" id="mrs_01_1065__nc300101343a147f6a176ea799c4a4c57"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_1065__acb5b871afc9c48c69dd7f66475dbba5d">By default, the cluster network environment is secure and the SSL authentication is not enabled during the data transmission process. For details about how to use the encryption mode, see <a href="mrs_01_1069.html">Configuring the Encrypted Transmission</a>. The configuration applies to scenarios where only the Flume is configured, for example, Kafka Source+Memory Channel+HDFS Sink.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1065__s04430e3bb5244658b9b6a46f0f0fd94b"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1065__u1feede73da194b919e884e199fe992cb"><li id="mrs_01_1065__l1b1790aa95f0401ba4a902cd2b115feb">The cluster has been installed, including the HDFS, Kafka, and Flume services.</li><li id="mrs_01_1065__li3520154014471">The Flume client has been installed. For details, see <span id="mrs_01_1065__ph56371413174818"><a href="https://docs.otc.t-systems.com/cmpntguide/mrs/mrs_01_0392.html" target="_blank" rel="noopener noreferrer">Installing the Flume Client</a></span>.</li><li id="mrs_01_1065__l1e83c3cfd1ab42de873e171eb6faffab">The network environment of the cluster is secure.</li><li id="mrs_01_1065__l41ce6de757c84926a5de5cb39ebf1c54">You have created user <strong id="mrs_01_1065__b9306122217568">flume_hdfs</strong> and authorized the HDFS directory and data to be operated during log verification.</li></ul>
+</div>
+<div class="section" id="mrs_01_1065__sc3b5cac3e20b49f8929cba66c9b90493"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1065__o540af6194cdd4007ae77e6d9ee5b9fdf"><li id="mrs_01_1065__ldba310a477e84e65bb39d8422f3f9664"><span>On FusionInsight Manager, choose <span class="menucascade" id="mrs_01_1065__menucascade22091716255739"><b><span class="uicontrol" id="mrs_01_1065__uicontrol210808680055739">System &gt; User</span></b></span> and choose <span class="menucascade" id="mrs_01_1065__menucascade127193121655739"><b><span class="uicontrol" id="mrs_01_1065__uicontrol77877507355739">More &gt; Download Authentication Credential</span></b></span> to download the Kerberos certificate file of user <strong id="mrs_01_1065__b195394508355739">flume_hdfs</strong> and save it to the local host.</span></li><li id="mrs_01_1065__l16a8a754e9654e03adf7ca038acb5b2b"><span>Configure the client parameters of the Flume role.</span><p><div class="p" id="mrs_01_1065__p59360377157">Use the Flume configuration tool on FusionInsight Manager to configure the Flume role client parameters and generate a configuration file.<ol type="a" id="mrs_01_1065__oa430f9283d074f839f46beb10194944a"><li id="mrs_01_1065__l815a6e6ed66f447a8bbacb4cb4abda77">Log in to FusionInsight Manager and choose<strong id="mrs_01_1065__b8259171211011"> Cluster</strong> &gt; <strong id="mrs_01_1065__b14260191211106">Services</strong>. On the page that is displayed, choose <strong id="mrs_01_1065__b32601512131014">Flume</strong>. On the displayed page, click the  <strong id="mrs_01_1065__b92601512121016">Configuration Tool</strong> tab.</li><li id="mrs_01_1065__l766f1033789447cc9d824597e5687aa6">Set <strong id="mrs_01_1065__b21834960655739">Agent Name</strong> to <strong id="mrs_01_1065__b211605281855739">client</strong>. Select the source, channel, and sink to be used, drag them to the GUI on the right, and connect them.<p id="mrs_01_1065__a9cd223e3f6984c09ab85ca3280c9bd45">For example, use Kafka Source, Memory Channel, and HDFS Sink.</p>
+</li><li id="mrs_01_1065__lf82319791edf4cd1a6af4ac3d2b17ece">Double-click the source, channel, and sink. Set corresponding configuration parameters by referring to <a href="#mrs_01_1065__table2029895217498">Table 1</a> based on the actual environment.<div class="note" id="mrs_01_1065__n12c0807eb21342be8b372535b9673cbe"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1065__u318b45ac8d8341578c77bb498420decc"><li id="mrs_01_1065__l0a2de2d5bf434353ba558a76d4c635ab">If you want to continue using the <strong id="mrs_01_1065__b433055013103">properties.propretites</strong> file by modifying it, log in to FusionInsight Manager, choose <strong id="mrs_01_1065__b733205021016">Cluster</strong> &gt; <em id="mrs_01_1065__i43331950181018">Name of the desired cluster</em> &gt; <strong id="mrs_01_1065__b633445016103">Services</strong>. On the page that is displayed, choose <strong id="mrs_01_1065__b5335125061012">Flume</strong>. On the displayed page, click the <strong id="mrs_01_1065__b1233535020106">Configuration Tool</strong> tab, click <strong id="mrs_01_1065__b16336175051015">Import</strong>, import the file, and modify the configuration items related to non-encrypted transmission.</li><li id="mrs_01_1065__l503aff2a2d7748ba861a9fc8eaa40c9c">It is recommended that the numbers of Sources, Channels, and Sinks do not exceed 40 during configuration file import. Otherwise, the response time may be very long.</li></ul>
+</div></div>
+
+<div class="tablenoborder"><a name="mrs_01_1065__table2029895217498"></a><a name="table2029895217498"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1065__table2029895217498" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters to be modified for the Flume role client</caption><thead align="left"><tr id="mrs_01_1065__row4298052104916"><th align="left" class="cellrowborder" valign="top" width="28.83%" id="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1"><p id="mrs_01_1065__p6298165210495">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="37.169999999999995%" id="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2"><p id="mrs_01_1065__p329865224917">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="34%" id="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3"><p id="mrs_01_1065__p1298652184917">Example Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1065__row1129816529499"><td class="cellrowborder" valign="top" width="28.83%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1065__p92991852154918">Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.169999999999995%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1065__p32991452144916">The value must be unique and cannot be left blank.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1065__p1629915524499">test</p>
+</td>
+</tr>
+<tr id="mrs_01_1065__row1029925216496"><td class="cellrowborder" valign="top" width="28.83%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1065__p15299175284917">kafka.topics</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.169999999999995%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1065__p102991152184915">Specifies the subscribed Kafka topic list, in which topics are separated by commas (,). This parameter cannot be left blank.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1065__p72991552194914">test1</p>
+</td>
+</tr>
+<tr id="mrs_01_1065__row0299195284911"><td class="cellrowborder" valign="top" width="28.83%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1065__p202998526498">kafka.consumer.group.id</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.169999999999995%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1065__p132998528495">Specifies the data group ID obtained from Kafka. This parameter cannot be left blank.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1065__p13299752164910">flume</p>
+</td>
+</tr>
+<tr id="mrs_01_1065__row62991552164917"><td class="cellrowborder" valign="top" width="28.83%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1065__p1629919521497">kafka.bootstrap.servers</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.169999999999995%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1065__p11299252144910">Specifies the bootstrap IP address and port list of Kafka. The default value is all Kafka lists in a Kafka cluster. If Kafka has been installed in the cluster and its configurations have been synchronized, this parameter can be left blank.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1065__p12991352114920">192.168.101.10:9092</p>
+</td>
+</tr>
+<tr id="mrs_01_1065__row329911527494"><td class="cellrowborder" valign="top" width="28.83%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1065__p8299125274917">batchSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.169999999999995%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1065__p929985244911">Specifies the number of events that Flume sends in a batch (number of data pieces).</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1065__p1529975218492">61200</p>
+</td>
+</tr>
+<tr id="mrs_01_1065__row330025215495"><td class="cellrowborder" valign="top" width="28.83%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1065__p6300145212491">hdfs.path</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.169999999999995%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1065__p13300185219492">Specifies the HDFS data write directory. This parameter cannot be left blank.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1065__p5300185217497">hdfs://hacluster/flume/test</p>
+</td>
+</tr>
+<tr id="mrs_01_1065__row163001152154919"><td class="cellrowborder" valign="top" width="28.83%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1065__p230045220494">hdfs.filePrefix</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.169999999999995%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1065__p23001352124911">Specifies the file name prefix after data is written to HDFS.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1065__p430005274912">TMP_</p>
+</td>
+</tr>
+<tr id="mrs_01_1065__row8300185213494"><td class="cellrowborder" valign="top" width="28.83%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1065__p1030025214490">hdfs.batchSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.169999999999995%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1065__p1430018529491">Specifies the maximum number of events that can be written to HDFS once.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1065__p43001852154919">61200</p>
+</td>
+</tr>
+<tr id="mrs_01_1065__row630055274915"><td class="cellrowborder" valign="top" width="28.83%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1065__p153001452104917">hdfs.kerberosPrincipal</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.169999999999995%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1065__p1530095215491">Specifies the Kerberos authentication user, which is mandatory in security versions. This configuration is required only in security clusters.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1065__p12300115264914">flume_hdfs</p>
+</td>
+</tr>
+<tr id="mrs_01_1065__row2300165204911"><td class="cellrowborder" valign="top" width="28.83%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1065__p13300155220495">hdfs.kerberosKeytab</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.169999999999995%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1065__p13001452184918">Specifies the keytab file path for Kerberos authentication, which is mandatory in security versions. This configuration is required only in security clusters.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1065__p193001352134918">/opt/test/conf/user.keytab</p>
+<div class="note" id="mrs_01_1065__note23001552174916"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1065__p10301165214492">Obtain the <strong id="mrs_01_1065__b100480318155739">user.keytab</strong> file from the Kerberos certificate file of the user <strong id="mrs_01_1065__b27405678355739">flume_hdfs</strong>. In addition, ensure that the user who installs and runs the Flume client has the read and write permissions on the <strong id="mrs_01_1065__b64857193355739">user.keytab</strong> file.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1065__row5301195284912"><td class="cellrowborder" valign="top" width="28.83%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.1 "><p id="mrs_01_1065__p8301155244914">hdfs.useLocalTimeStamp</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.169999999999995%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.2 "><p id="mrs_01_1065__p103011052134911">Specifies whether to use the local time. Possible values are <strong id="mrs_01_1065__b33130898155739">true</strong> and <strong id="mrs_01_1065__b182695029255739">false</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.3.3.2.4.1.3 "><p id="mrs_01_1065__p16301105218499">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1065__l92b924df515f493daa8ec019ca9fcec4"><a name="mrs_01_1065__l92b924df515f493daa8ec019ca9fcec4"></a><a name="l92b924df515f493daa8ec019ca9fcec4"></a>Click <strong id="mrs_01_1065__b137094315571">Export</strong> to save the <strong id="mrs_01_1065__b1437074365710">properties.properties</strong> configuration file to the local.</li></ol>
+</div>
+</p></li><li id="mrs_01_1065__laf28e4a6809f4c3c884dd080c2d2e41a"><span>Upload the configuration file.</span><p><p id="mrs_01_1065__p1512635181619">Upload the file exported in <a href="#mrs_01_1065__l92b924df515f493daa8ec019ca9fcec4">2.d</a> to the <em id="mrs_01_1065__i713731519482">Flume client installation directory</em><strong id="mrs_01_1065__b31371915164817">/fusioninsight-flume-</strong><span id="mrs_01_1065__text913841574815"><em id="mrs_01_1065__i31384158486">Flume component version number</em></span><strong id="mrs_01_1065__b3139515134811">/conf</strong> directory of the cluster.</p>
+</p></li></ol><ol start="4" id="mrs_01_1065__ofa622de0520745d5ad045abc022b9cf6"><li id="mrs_01_1065__le7801192c8734a32a4208d6292de2d4a"><span>Verify log transmission.</span><p><ol type="a" id="mrs_01_1065__o71eb2167b0894dc0acbd61933ab793cf"><li id="mrs_01_1065__lc066c3f5cd3540ef838a483303d05abf">Log in to FusionInsight Manager as a user who has the management permission on HDFS. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. Choose <strong id="mrs_01_1065__b524525131113">Cluster</strong> &gt; <strong id="mrs_01_1065__b12461551111">Services</strong> &gt; <strong id="mrs_01_1065__b102467511115">HDFS</strong>. On the page that is displayed, click the <strong id="mrs_01_1065__b1324714511119">NameNode(</strong><em id="mrs_01_1065__i1024712512115">Node name</em><strong id="mrs_01_1065__b72483511115">,Active)</strong> link next to <strong id="mrs_01_1065__b192491452114">NameNode WebUI</strong> to go to the HDFS web UI. On the displayed page, choose <strong id="mrs_01_1065__b1524918517117">Utilities</strong> &gt; <strong id="mrs_01_1065__b22506541114">Browse the file system</strong>.</li><li id="mrs_01_1065__l25c000ab134c44b396bbdb8c181c0979">Check whether the data is generated in the <strong id="mrs_01_1065__b110274047455739">/flume/test</strong> directory on the HDFS.</li></ol>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1059.html">Non-Encrypted Transmission</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1066"></a><a name="mrs_01_1066"></a>
+
+<h1 class="topictitle1">Typical Scenario: Collecting Logs from Kafka and Uploading Them to HDFS Through the Flume Client</h1>
+<div id="body1590374514767"><div class="section" id="mrs_01_1066__sa09be57bc8424fa5868559f0b93a5e0f"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1066__a2fdbe65f2a6b44d29de98457ef8bf7a0">This section describes how to use the Flume client to collect logs from the topic list (test1) of the Kafka client and save them to the <span class="filepath" id="mrs_01_1066__filepath1575753210485"><b>/flume/test</b></span> directory on HDFS.</p>
+<p id="mrs_01_1066__p1190153615238">This section applies to MRS 3.<em id="mrs_01_1066__i182153139569">x</em> or later clusters.</p>
+<div class="note" id="mrs_01_1066__n1c24e0864c8f46ec90574b6cdb537684"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_1066__a6eae353646a34effa2e1ace5538bddfd">By default, the cluster network environment is secure and the SSL authentication is not enabled during the data transmission process. For details about how to use the encryption mode, see <a href="mrs_01_1069.html">Configuring the Encrypted Transmission</a>.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1066__s2c591043ec4f4a73affa1eeec294c526"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1066__ua08e403ea2fa44f68dfa92b00eed1580"><li id="mrs_01_1066__l4ef5aa2f014648d8b55c2a4a5516615c">The cluster has been installed, including the HDFS, Kafka, and Flume services.</li><li id="mrs_01_1066__li3520154014471">The Flume client has been installed. For details, see <span id="mrs_01_1066__ph1579144184913"><a href="https://docs.otc.t-systems.com/cmpntguide/mrs/mrs_01_0392.html" target="_blank" rel="noopener noreferrer">Installing the Flume Client</a></span>.</li><li id="mrs_01_1066__l18bdf785d21642c0ac5be50903211f02">You have created user <strong id="mrs_01_1066__b1941017484395">flume_hdfs</strong> and authorized the HDFS directory and data to be operated during log verification.</li><li id="mrs_01_1066__l579cf22f24bf40f2b3bb933038a2ad0c">The network environment of the cluster is secure.</li></ul>
+</div>
+<div class="section" id="mrs_01_1066__s8a7bc8a8d6dc4259ad505e48de3fef69"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1066__ol82782043123318"><li id="mrs_01_1066__li2268134373311"><span>On FusionInsight Manager, choose <span class="menucascade" id="mrs_01_1066__menucascade136082026142517"><b><span class="uicontrol" id="mrs_01_1066__uicontrol6607102692517">System &gt; User</span></b></span> and choose <span class="menucascade" id="mrs_01_1066__menucascade1860832602514"><b><span class="uicontrol" id="mrs_01_1066__uicontrol26081026142514">More &gt; Download Authentication Credential</span></b></span> to download the Kerberos certificate file of user <strong id="mrs_01_1066__b1460942622515">flume_hdfs</strong> and save it to the local host.</span></li><li id="mrs_01_1066__li122788439332"><span>Configure the client parameters of the Flume role.</span><p><ol type="a" id="mrs_01_1066__ol32781439334"><li id="mrs_01_1066__li2277104353317">Use the Flume configuration tool on FusionInsight Manager to configure the Flume role client parameters and generate a configuration file.<ol class="substepthirdol" id="mrs_01_1066__ol15277104353310"><li id="mrs_01_1066__li132682438330">Log in to FusionInsight Manager and choose<strong id="mrs_01_1066__b1127213142119"> Cluster</strong> &gt; <strong id="mrs_01_1066__b9282151414115">Services</strong>. On the page that is displayed, choose <strong id="mrs_01_1066__b112828145111">Flume</strong>. On the displayed page, click the  <strong id="mrs_01_1066__b828317145118">Configuration Tool</strong> tab.</li><li id="mrs_01_1066__li122684438339">Set <strong id="mrs_01_1066__b817710562612">Agent Name</strong> to <strong id="mrs_01_1066__b191829582618">client</strong>. Select the source, channel, and sink to be used, drag them to the GUI on the right, and connect them.<p id="mrs_01_1066__p5268143183319">For example, use Kafka Source, File Channel, and HDFS Sink.</p>
+</li><li id="mrs_01_1066__li8269164313334">Double-click the source, channel, and sink. Set corresponding configuration parameters by referring to <a href="#mrs_01_1066__table15799134418507">Table 1</a> based on the actual environment.<div class="note" id="mrs_01_1066__note2269164316333"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1066__ul2269843173311"><li id="mrs_01_1066__li5269124323312">If you want to continue using the <strong id="mrs_01_1066__b6228142091116">properties.propretites</strong> file by modifying it, log in to FusionInsight Manager, choose <strong id="mrs_01_1066__b172286206113">Cluster</strong> &gt; <em id="mrs_01_1066__i5229320161112">Name of the desired cluster</em> &gt; <strong id="mrs_01_1066__b112291020111115">Services</strong>. On the page that is displayed, choose <strong id="mrs_01_1066__b9229182091120">Flume</strong>. On the displayed page, click the <strong id="mrs_01_1066__b9230102001110">Configuration Tool</strong> tab, click <strong id="mrs_01_1066__b1823072017111">Import</strong>, import the file, and modify the configuration items related to non-encrypted transmission.</li><li id="mrs_01_1066__li52697432336">It is recommended that the numbers of Sources, Channels, and Sinks do not exceed 40 during configuration file import. Otherwise, the response time may be very long.</li></ul>
+</div></div>
+
+<div class="tablenoborder"><a name="mrs_01_1066__table15799134418507"></a><a name="table15799134418507"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1066__table15799134418507" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters to be modified for the Flume role client</caption><thead align="left"><tr id="mrs_01_1066__row1679918448503"><th align="left" class="cellrowborder" valign="top" width="33%" id="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.1"><p id="mrs_01_1066__p1279954465011">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33%" id="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.2"><p id="mrs_01_1066__p17799644105016">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="34%" id="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.3"><p id="mrs_01_1066__p7799104413508">Example Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1066__row9799134416504"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1066__p779954415504">Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1066__p127991944165010">The value must be unique and cannot be left blank.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1066__p2799194465012">test</p>
+</td>
+</tr>
+<tr id="mrs_01_1066__row179974425013"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1066__p4799944175019">kafka.topics</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1066__p187999442507">Specifies the subscribed Kafka topic list, in which topics are separated by commas (,). This parameter cannot be left blank.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1066__p13800204455019">test1</p>
+</td>
+</tr>
+<tr id="mrs_01_1066__row1380014447505"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1066__p20800444175016">kafka.consumer.group.id</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1066__p1180054485018">Specifies the data group ID obtained from Kafka. This parameter cannot be left blank.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1066__p17800174419503">flume</p>
+</td>
+</tr>
+<tr id="mrs_01_1066__row380017445501"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1066__p12800044135015">kafka.bootstrap.servers</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1066__p780011441504">Specifies the bootstrap IP address and port list of Kafka. The default value is all Kafka lists in a Kafka cluster. If Kafka has been installed in the cluster and its configurations have been synchronized, this parameter can be left blank.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1066__p188001044145010">192.168.101.10:21007</p>
+</td>
+</tr>
+<tr id="mrs_01_1066__row58001443503"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1066__p1780024415501">batchSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1066__p88004447504">Specifies the number of events that Flume sends in a batch (number of data pieces).</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1066__p680034416508">61200</p>
+</td>
+</tr>
+<tr id="mrs_01_1066__row1280084410505"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1066__p1380094412502">dataDirs</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1066__p118001244115016">Specifies the directory for storing buffer data. The run directory is used by default. Configuring multiple directories on disks can improve transmission efficiency. Use commas (,) to separate multiple directories. If the directory is inside the cluster, the <strong id="mrs_01_1066__b20104595681000">/srv/BigData/hadoop/dataX/flume/data</strong> directory can be used. <strong id="mrs_01_1066__b6661897821000">dataX</strong> ranges from data1 to dataN. If the directory is outside the cluster, it needs to be independently planned.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1066__p178005441506">/srv/BigData/hadoop/data1/flume/data</p>
+</td>
+</tr>
+<tr id="mrs_01_1066__row168001544105015"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1066__p7800194417501">checkpointDir</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1066__p19800744195015">Specifies the directory for storing the checkpoint information, which is under the run directory by default. If the directory is inside the cluster, the <strong id="mrs_01_1066__b7306623451000">/srv/BigData/hadoop/dataX/flume/checkpoint</strong> directory can be used. <strong id="mrs_01_1066__b20490785581000">dataX</strong> ranges from data1 to dataN. If the directory is outside the cluster, it needs to be independently planned.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1066__p19800124415019">/srv/BigData/hadoop/data1/flume/checkpoint</p>
+</td>
+</tr>
+<tr id="mrs_01_1066__row138003445504"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1066__p2800124416506">transactionCapacity</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1066__p18800744125012">Specifies the transaction size, that is, the number of events in a transaction that can be processed by the current Channel. The size cannot be smaller than the batchSize of Source. Setting the same size as batchSize is recommended.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1066__p1480119443505">61200</p>
+</td>
+</tr>
+<tr id="mrs_01_1066__row0801154485019"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1066__p4801154405018">hdfs.path</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1066__p118012445509">Specifies the HDFS data write directory. This parameter cannot be left blank.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1066__p18011244115013">hdfs://hacluster/flume/test</p>
+</td>
+</tr>
+<tr id="mrs_01_1066__row1580110444502"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1066__p6801124417502">hdfs.filePrefix</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1066__p2801444155019">Specifies the file name prefix after data is written to HDFS.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1066__p1780117441509">TMP_</p>
+</td>
+</tr>
+<tr id="mrs_01_1066__row780174475012"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1066__p1180120449504">hdfs.batchSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1066__p2801144105015">Specifies the maximum number of events that can be written to HDFS once.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1066__p580134405016">61200</p>
+</td>
+</tr>
+<tr id="mrs_01_1066__row5801194425013"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1066__p14801144135018">hdfs.kerberosPrincipal</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1066__p17801124415015">Specifies the Kerberos authentication user, which is mandatory in security versions. This configuration is required only in security clusters.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1066__p9801194417504">flume_hdfs</p>
+</td>
+</tr>
+<tr id="mrs_01_1066__row480174414508"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1066__p12801144445010">hdfs.kerberosKeytab</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1066__p1180154495013">Specifies the keytab file path for Kerberos authentication, which is mandatory in security versions. This configuration is required only in security clusters.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1066__p14801104435019">/opt/test/conf/user.keytab</p>
+<div class="note" id="mrs_01_1066__note1680174425011"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1066__p6801344165016">Obtain the <strong id="mrs_01_1066__b13167454951000">user.keytab</strong> file from the Kerberos certificate file of the user <strong id="mrs_01_1066__b16580011071000">flume_hdfs</strong>. In addition, ensure that the user who installs and runs the Flume client has the read and write permissions on the <strong id="mrs_01_1066__b5966957081000">user.keytab</strong> file.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1066__row480124412502"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1066__p188011244115015">hdfs.useLocalTimeStamp</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1066__p7801164419507">Specifies whether to use the local time. Possible values are <strong id="mrs_01_1066__b15227233971000">true</strong> and <strong id="mrs_01_1066__b12693067391000">false</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1066__p68019449508">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1066__li152771943153315">Click <strong id="mrs_01_1066__b17403381311000">Export</strong> to save the <strong id="mrs_01_1066__b15190264141000">properties.properties</strong> configuration file to the local.</li></ol>
+</li><li id="mrs_01_1066__li15278204311335">Upload the <strong id="mrs_01_1066__b5721677701000">properties.properties</strong> file to <strong id="mrs_01_1066__b11730857911000">flume/conf/</strong> under the installation directory of the Flume client.</li><li id="mrs_01_1066__li6278204310334">To connect the Flume client to the HDFS, you need to add the following configuration:<ol class="substepthirdol" id="mrs_01_1066__ol7278843173311"><li id="mrs_01_1066__li22781343113313">Download the Kerberos certificate of account <strong id="mrs_01_1066__b5692048041000">flume_hdfs</strong> and obtain the <strong id="mrs_01_1066__b21250537971000">krb5.conf</strong> configuration file. Upload the configuration file to the <strong id="mrs_01_1066__b12142365351000">fusioninsight-flume-1.9.0/conf/</strong> directory on the node where the client is installed.</li><li id="mrs_01_1066__li1727864315338">In <strong id="mrs_01_1066__b11194893201000">fusioninsight-flume-1.9.0/conf/</strong>, create the <strong id="mrs_01_1066__b20075104651000">jaas.conf</strong> configuration file.<p id="mrs_01_1066__p2278134311335"><strong id="mrs_01_1066__b327834310338">vi jaas.conf</strong></p>
+<pre class="screen" id="mrs_01_1066__screen20278194317339">KafkaClient {
+com.sun.security.auth.module.Krb5LoginModule required
+useKeyTab=true
+keyTab="<strong id="mrs_01_1066__b827864363310">/opt/test/conf/user.keytab</strong>"
+principal="<strong id="mrs_01_1066__b1227894314334">flume_hdfs@</strong><em id="mrs_01_1066__i1235215297387">&lt;System domain name&gt;</em>"
+useTicketCache=false
+storeKey=true
+debug=true;
+};</pre>
+<p id="mrs_01_1066__p162781435337">Values of <strong id="mrs_01_1066__b17392194781000">keyTab</strong> and <strong id="mrs_01_1066__b13958809631000">principal</strong> vary depending on the actual situation.</p>
+</li><li id="mrs_01_1066__li1627894317331">Obtain configuration files <strong id="mrs_01_1066__b4092624401000">core-site.xml</strong> and <strong id="mrs_01_1066__b10577338651000">hdfs-site.xml</strong> from <strong id="mrs_01_1066__b4598466481000">/opt/FusionInsight_Cluster_<em id="mrs_01_1066__i4182669051000">&lt;Cluster ID&gt;</em>_Flume_ClientConfig/Flume/config</strong> and upload them to <strong id="mrs_01_1066__b6542527891000">fusioninsight-flume-1.9.0/conf/</strong>.</li></ol>
+</li><li id="mrs_01_1066__li11278143193313">Run the following command to restart the Flume process:<p id="mrs_01_1066__p1879517526112"><a name="mrs_01_1066__li11278143193313"></a><a name="li11278143193313"></a><strong id="mrs_01_1066__b138321612181211">flume-manager.sh restart</strong></p>
+</li></ol>
+</p></li></ol><ol start="3" id="mrs_01_1066__ol1526612430336"><li id="mrs_01_1066__li3266843173312"><span>Verify log transmission.</span><p><ol type="a" id="mrs_01_1066__ol926614313335"><li id="mrs_01_1066__li5266134323311">Log in to FusionInsight Manager as a user who has the management permission on HDFS. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. Choose <strong id="mrs_01_1066__b1714513242119">Cluster</strong> &gt; <strong id="mrs_01_1066__b131461924171117">Services</strong> &gt; <strong id="mrs_01_1066__b214652417116">HDFS</strong>. On the page that is displayed, click the <strong id="mrs_01_1066__b5147162414119">NameNode(</strong><em id="mrs_01_1066__i14147112416113">Node name</em><strong id="mrs_01_1066__b0147162441119">,Active)</strong> link next to <strong id="mrs_01_1066__b71481124151112">NameNode WebUI</strong> to go to the HDFS web UI. On the displayed page, choose <strong id="mrs_01_1066__b161489242113">Utilities</strong> &gt; <strong id="mrs_01_1066__b15148152461118">Browse the file system</strong>.</li><li id="mrs_01_1066__li026614353315">Check whether the data is generated in the <strong id="mrs_01_1066__b7567374561000">/flume/test</strong> directory on the HDFS.</li></ol>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1059.html">Non-Encrypted Transmission</a></div>
+</div>
+</div>
+
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@@ -0,0 +1,225 @@
+<a name="mrs_01_1067"></a><a name="mrs_01_1067"></a>
+
+<h1 class="topictitle1">Typical Scenario: Collecting Local Static Logs and Uploading Them to HBase</h1>
+<div id="body1590374515509"><div class="section" id="mrs_01_1067__s9f037f407033421282a22689e5a7739b"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1067__a74acb2762a234cf58ee775bf6fe30399">This section describes how to use the Flume client to collect static logs from a local host and save them to the <strong id="mrs_01_1067__b184371044105018">flume_test</strong> HBase table. In this scenario, multi-level agents are cascaded.</p>
+<p id="mrs_01_1067__p1190153615238">This section applies to MRS 3.<em id="mrs_01_1067__i1277382012566">x</em> or later clusters.</p>
+<div class="note" id="mrs_01_1067__n8b3fc02732014697a53ab02d88894c5e"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_1067__en-us_topic_0060185024_p742917144718">By default, the cluster network environment is secure and the SSL authentication is not enabled during the data transmission process. For details about how to use the encryption mode, see <a href="mrs_01_1069.html">Configuring the Encrypted Transmission</a>. The configuration applies to scenarios where only the server is configured, for example, Spooldir Source+File Channel+HBase Sink.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1067__sed3218aed88f44579304ef2130fb0cad"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1067__u3117eb6bf579491db0365da566af193d"><li id="mrs_01_1067__ld3f4165aab6444ae8d1725bfdd3b53fb">The cluster has been installed, including the HBase and Flume services.</li><li id="mrs_01_1067__li3520154014471">The Flume client has been installed. For details, see <span id="mrs_01_1067__ph18236135212506"><a href="https://docs.otc.t-systems.com/cmpntguide/mrs/mrs_01_0392.html" target="_blank" rel="noopener noreferrer">Installing the Flume Client</a></span>.</li><li id="mrs_01_1067__l3f6a41861ee945fab11f06e86762cefe">The network environment of the cluster is secure.</li><li id="mrs_01_1067__l3bc4d64fda194455b802b2debbba3959">An HBase table has been created by running the <strong id="mrs_01_1067__a1f9cddc78cfb4eb5a0e3c5a812c1368c">create 'flume_test', 'cf'</strong> command.</li><li id="mrs_01_1067__l8f629d1142e24b24a6b9193909f6c7cf">The system administrator has understood service requirements and prepared HBase administrator <strong id="mrs_01_1067__b2051516014410">flume_hbase</strong>.</li></ul>
+</div>
+<div class="section" id="mrs_01_1067__s2caaed08a75b42e58b548eeed73e1c12"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1067__o2622c2436dc4441fb30fee0354d305bf"><li id="mrs_01_1067__l0f2bf40dc3c94579b9b2aa589cdc7d02"><span>On FusionInsight Manager, choose <span class="menucascade" id="mrs_01_1067__menucascade451188927102913"><b><span class="uicontrol" id="mrs_01_1067__uicontrol1599116188102913">System &gt; User</span></b></span> and choose <span class="menucascade" id="mrs_01_1067__menucascade1999490490102913"><b><span class="uicontrol" id="mrs_01_1067__uicontrol2095060623102913">More &gt; Download Authentication Credential</span></b></span> to download the Kerberos certificate file of user <strong id="mrs_01_1067__b1115642060102913">flume_hbase</strong> and save it to the local host.</span></li><li id="mrs_01_1067__ldb57e1a8d5a54bc090662402b1892d1b"><span>Configure the client parameters of the Flume role.</span><p><ol type="a" id="mrs_01_1067__oa869c77c078e4fe9af19286e9aa070fd"><li id="mrs_01_1067__l449ab29c933c4e8b9db2019d87fd1fc2">Use the Flume configuration tool on FusionInsight Manager to configure the Flume role client parameters and generate a configuration file.<ol class="substepthirdol" id="mrs_01_1067__o50b41ea0f2394471a63de09ad4709e7f"><li id="mrs_01_1067__l372c2447ab714d918c3f8f0e4dbcaa3d">Log in to FusionInsight Manager and choose<strong id="mrs_01_1067__b76611832151215"> Cluster</strong> &gt; <strong id="mrs_01_1067__b9670193241213">Services</strong>. On the page that is displayed, choose <strong id="mrs_01_1067__b26712321129">Flume</strong>. On the displayed page, click the  <strong id="mrs_01_1067__b2067193271210">Configuration Tool</strong> tab.</li><li id="mrs_01_1067__l53b876ad1b8a44cd82e3bde2ef66927b">Set <strong id="mrs_01_1067__b2098483187102913">Agent Name</strong> to <strong id="mrs_01_1067__b1272222045102913">client</strong>. Select the source, channel, and sink to be used, drag them to the GUI on the right, and connect them.<p id="mrs_01_1067__aa5c01f4dc0614479985d4d8ba9c48e0b">Use SpoolDir Source, File Channel, and Avro Sink.</p>
+</li><li id="mrs_01_1067__le23a2fd990d142f5a9d80e83fcafd38e">Double-click the source, channel, and sink. Set corresponding configuration parameters by referring to <a href="#mrs_01_1067__table15735429105511">Table 1</a> based on the actual environment.<div class="note" id="mrs_01_1067__n53ba107ab1ae4062b840c510cfdc6439"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1067__uac41818be9df4afeb54382f6a0fc197e"><li id="mrs_01_1067__l96cb3083c17f4cf5933cd9808a03c77b">If you want to continue using the <strong id="mrs_01_1067__b7195185011217">properties.propretites</strong> file by modifying it, log in to FusionInsight Manager, choose <strong id="mrs_01_1067__b0197750151216">Cluster</strong> &gt; <em id="mrs_01_1067__i1119817503125">Name of the desired cluster</em> &gt; <strong id="mrs_01_1067__b4199105018122">Services</strong>. On the page that is displayed, choose <strong id="mrs_01_1067__b15199195012122">Flume</strong>. On the displayed page, click the <strong id="mrs_01_1067__b52004508128">Configuration Tool</strong> tab, click <strong id="mrs_01_1067__b132011250101220">Import</strong>, import the file, and modify the configuration items related to non-encrypted transmission.</li><li id="mrs_01_1067__lf91b31c36966434b9ed8d2e497c3924c">It is recommended that the numbers of Sources, Channels, and Sinks do not exceed 40 during configuration file import. Otherwise, the response time may be very long.</li></ul>
+</div></div>
+
+<div class="tablenoborder"><a name="mrs_01_1067__table15735429105511"></a><a name="table15735429105511"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1067__table15735429105511" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters to be modified for the Flume role client</caption><thead align="left"><tr id="mrs_01_1067__row1173682965518"><th align="left" class="cellrowborder" valign="top" width="33%" id="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.1"><p id="mrs_01_1067__p18736152975516">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33%" id="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.2"><p id="mrs_01_1067__p1173612955516">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="34%" id="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.3"><p id="mrs_01_1067__p3736429115512">Example Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1067__row97361429145512"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1067__p137362297558">Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1067__p3736229145510">The value must be unique and cannot be left blank.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1067__p673622913550">test</p>
+</td>
+</tr>
+<tr id="mrs_01_1067__row57363295552"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1067__p1273652914557">spoolDir</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1067__p1736132915514">Specifies the directory where the file to be collected resides. This parameter cannot be left blank. The directory needs to exist and have the write, read, and execute permissions on the flume running user.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1067__p11736329165514">/srv/BigData/hadoop/data1/zb</p>
+</td>
+</tr>
+<tr id="mrs_01_1067__row14736132905511"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1067__p20736129165519">trackerDir</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1067__p1773612995512">Specifies the path for storing the metadata of files collected by Flume.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1067__p17736162975518">/srv/BigData/hadoop/data1/tracker</p>
+</td>
+</tr>
+<tr id="mrs_01_1067__row973616295551"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1067__p18736929145513">batchSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1067__p17361297557">Specifies the number of events that Flume sends in a batch (number of data pieces). A larger value indicates higher performance and lower timeliness.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1067__p1874042945510">61200</p>
+</td>
+</tr>
+<tr id="mrs_01_1067__row197403299557"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1067__p18740132965513">dataDirs</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1067__p1174013297557">Specifies the directory for storing buffer data. The run directory is used by default. Configuring multiple directories on disks can improve transmission efficiency. Use commas (,) to separate multiple directories. If the directory is inside the cluster, the <strong id="mrs_01_1067__b1622786339102913">/srv/BigData/hadoop/dataX/flume/data</strong> directory can be used. <strong id="mrs_01_1067__b326350878102913">dataX</strong> ranges from data1 to dataN. If the directory is outside the cluster, it needs to be independently planned.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1067__p874017296552">/srv/BigData/hadoop/data1/flume/data</p>
+</td>
+</tr>
+<tr id="mrs_01_1067__row1574012914558"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1067__p874110293552">checkpointDir</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1067__p117411929105513">Specifies the directory for storing the checkpoint information, which is under the run directory by default. If the directory is inside the cluster, the <strong id="mrs_01_1067__b1520486991102913">/srv/BigData/hadoop/dataX/flume/checkpoint</strong> directory can be used. <strong id="mrs_01_1067__b1975219541102913">dataX</strong> ranges from data1 to dataN. If the directory is outside the cluster, it needs to be independently planned.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1067__p15741162911556">/srv/BigData/hadoop/data1/flume/checkpoint</p>
+</td>
+</tr>
+<tr id="mrs_01_1067__row1774192911556"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1067__p1374117294558">transactionCapacity</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1067__p67411329165511">Specifies the transaction size, that is, the number of events in a transaction that can be processed by the current Channel. The size cannot be smaller than the batchSize of Source. Setting the same size as batchSize is recommended.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1067__p67411929105518">61200</p>
+<p id="mrs_01_1067__p67412296550"></p>
+</td>
+</tr>
+<tr id="mrs_01_1067__row57411429185511"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1067__p147411129155511">hostname</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1067__p3741229195510">Specifies the name or IP address of the host whose data is to be sent. This parameter cannot be left blank. Name or IP address must be configured to be the name or IP address that the Avro source associated with it.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1067__p774113297557">192.168.108.11</p>
+</td>
+</tr>
+<tr id="mrs_01_1067__row1174112291552"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1067__p17741162913556">port</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1067__p0741329125514">Specifies the port that sends the data. This parameter cannot be left blank. It must be consistent with the port that is monitored by the connected Avro Source.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1067__p174113299553">21154</p>
+</td>
+</tr>
+<tr id="mrs_01_1067__row174112292557"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1067__p4741162918556">ssl</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1067__p47411629195511">Specifies whether to enable the SSL authentication. (You are advised to enable this function to ensure security.)</p>
+<p id="mrs_01_1067__p1174112912554">Only Sources of the Avro type have this configuration item.</p>
+<ul id="mrs_01_1067__ul2074192917558"><li id="mrs_01_1067__li4741182915510"><strong id="mrs_01_1067__b1185864826102913">true</strong> indicates that the function is enabled.</li><li id="mrs_01_1067__li10741102985519"><strong id="mrs_01_1067__b1669392845102913">false</strong> indicates that the client authentication function is not enabled.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.2.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1067__p1774122925512">false</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1067__lf7c652eb5b944e03b816672cf8b89701">Click <strong id="mrs_01_1067__b1428471369102913">Export</strong> to save the <strong id="mrs_01_1067__b1881806574102913">properties.properties</strong> configuration file to the local.</li></ol>
+</li><li id="mrs_01_1067__lc74347aa2ef5429aa350fac790188b2f">Upload the <strong id="mrs_01_1067__b807838481102913">properties.properties</strong> file to <strong id="mrs_01_1067__b1842087684102913">flume/conf/</strong> under the installation directory of the Flume client.</li></ol>
+</p></li><li id="mrs_01_1067__la69566c4f50d41e1a3f36cba8e6096a0"><span>Configure the server parameters of the Flume role and upload the configuration file to the cluster.</span><p><ol type="a" id="mrs_01_1067__o24086c7e5c4e4d7e9891b225bafdde0a"><li id="mrs_01_1067__l9aed8563ae4444caa8e3bfd71b125b6b">Use the Flume configuration tool on the FusionInsight Manager portal to configure the server parameters and generate the configuration file.<ol class="substepthirdol" id="mrs_01_1067__oe9f06f719fc2404f8d520cbae7a41118"><li id="mrs_01_1067__lf1d11f08d0b74d8db2b0f93659318847">Log in to FusionInsight Manager and choose<strong id="mrs_01_1067__b1074085312127"> Cluster</strong> &gt; <strong id="mrs_01_1067__b3740185315123">Services</strong>. On the page that is displayed, choose <strong id="mrs_01_1067__b16741135318124">Flume</strong>. On the displayed page, click the  <strong id="mrs_01_1067__b117411253141210">Configuration Tool</strong> tab.</li><li id="mrs_01_1067__lb39a58ac3b124f9e9f5b96d56d190f20">Set <strong id="mrs_01_1067__b42233805102913">Agent Name</strong> to <strong id="mrs_01_1067__b230659354102913">server</strong>. Select the source, channel, and sink to be used, drag them to the GUI on the right, and connect them.<p id="mrs_01_1067__a3246b8c511fa463783f70f4b280b55ae">For example, use Avro Source, File Channel, and HBase Sink.</p>
+</li><li id="mrs_01_1067__l53891171fa4b4a2497fc2591eed8a026">Double-click the source, channel, and sink. Set corresponding configuration parameters by referring to <a href="#mrs_01_1067__table77819014563">Table 2</a> based on the actual environment.<div class="note" id="mrs_01_1067__n75e8a0c4b3ec49ebbcec98834620763f"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1067__u8d3b6bf42cb04ff19544315666d4c5e6"><li id="mrs_01_1067__l71473dc3a92b41f990b5520595540726">If the server parameters of the Flume role have been configured, you can choose <strong id="mrs_01_1067__b904306185102913">Cluster</strong> &gt; <em id="mrs_01_1067__i1445545874102913">Name of the desired cluster</em> &gt; <strong id="mrs_01_1067__b2026111845102913">Services</strong> &gt; <strong id="mrs_01_1067__b1586615516102913">Flume</strong> &gt; <strong id="mrs_01_1067__b1594232785102913">Instance</strong> on FusionInsight Manager. Then select the corresponding Flume role instance and click the <strong id="mrs_01_1067__b1133495924102913">Download</strong> button behind the <span class="parmname" id="mrs_01_1067__parmname453519947102913"><b>flume.config.file</b></span> parameter on the <strong id="mrs_01_1067__b1265580738102913">Instance Configurations</strong> page to obtain the existing server parameter configuration file. Choose <strong id="mrs_01_1067__b1418792374102913">Cluster</strong> &gt; <em id="mrs_01_1067__i471624899102913">Name of the desired cluster</em> &gt; <strong id="mrs_01_1067__b1688553143102913">Services</strong> &gt; <strong id="mrs_01_1067__b1160019553102913">Flume</strong> &gt; <strong id="mrs_01_1067__b419706830102913">Configuration Tool</strong> &gt; <strong id="mrs_01_1067__b1719741017102913">Import</strong>, import the file, and modify the configuration items related to non-encrypted transmission.</li><li id="mrs_01_1067__l68a8c84820134797a7887ec602c91701">It is recommended that the numbers of Sources, Channels, and Sinks do not exceed 40 during configuration file import. Otherwise, the response time may be very long.</li><li id="mrs_01_1067__l77f00c553a2447c491533c33c0685523">A unique checkpoint directory needs to be configured for each File Channel.</li></ul>
+</div></div>
+
+<div class="tablenoborder"><a name="mrs_01_1067__table77819014563"></a><a name="table77819014563"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1067__table77819014563" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Parameters to be modified for the Flume role server</caption><thead align="left"><tr id="mrs_01_1067__row1278190165618"><th align="left" class="cellrowborder" valign="top" width="23.232323232323232%" id="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.1"><p id="mrs_01_1067__p15798015620">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="45.45454545454545%" id="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.2"><p id="mrs_01_1067__p1179106562">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="31.313131313131308%" id="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.3"><p id="mrs_01_1067__p87920055620">Example Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1067__row10791201566"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1067__p07950155611">Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1067__p167913014561">The value must be unique and cannot be left blank.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1067__p1379130135612">test</p>
+</td>
+</tr>
+<tr id="mrs_01_1067__row37919017566"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1067__p879905561">bind</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1067__p979704563">Specifies the IP address to which Avro Source is bound. This parameter cannot be left blank. It must be configured as the IP address that the server configuration file will upload.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1067__p137910165616">192.168.108.11</p>
+</td>
+</tr>
+<tr id="mrs_01_1067__row5791075616"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1067__p779180185610">port</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1067__p379307561">Specifies the ID of the port that the Avro Source monitors. This parameter cannot be left blank. It must be configured as an unused port.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1067__p279100175616">21154</p>
+</td>
+</tr>
+<tr id="mrs_01_1067__row2791404564"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1067__p15796025615">ssl</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1067__p179130135610">Specifies whether to enable the SSL authentication. (You are advised to enable this function to ensure security.)</p>
+<p id="mrs_01_1067__p187917014564">Only Sources of the Avro type have this configuration item.</p>
+<ul id="mrs_01_1067__ul57930115613"><li id="mrs_01_1067__li108050165614"><strong id="mrs_01_1067__b1653579006">true</strong> indicates that the function is enabled.</li><li id="mrs_01_1067__li2807095617"><strong id="mrs_01_1067__b2059452903">false</strong> indicates that the client authentication function is not enabled.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1067__p7801709565">false</p>
+</td>
+</tr>
+<tr id="mrs_01_1067__row48018045615"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1067__p148018065613">dataDirs</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1067__p18018085612">Specifies the directory for storing buffer data. The run directory is used by default. Configuring multiple directories on disks can improve transmission efficiency. Use commas (,) to separate multiple directories. If the directory is inside the cluster, the <strong id="mrs_01_1067__b474617800">/srv/BigData/hadoop/dataX/flume/data</strong> directory can be used. <strong id="mrs_01_1067__b1390183208">dataX</strong> ranges from data1 to dataN. If the directory is outside the cluster, it needs to be independently planned.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1067__p108015085613">/srv/BigData/hadoop/data1/flumeserver/data</p>
+</td>
+</tr>
+<tr id="mrs_01_1067__row68013045618"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1067__p680140105611">checkpointDir</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1067__p198080175613">Specifies the directory for storing the checkpoint information, which is under the run directory by default. If the directory is inside the cluster, the <strong id="mrs_01_1067__b1330782999102913">/srv/BigData/hadoop/dataX/flume/checkpoint</strong> directory can be used. <strong id="mrs_01_1067__b1746550738102913">dataX</strong> ranges from data1 to dataN. If the directory is outside the cluster, it needs to be independently planned.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1067__p128011014566">/srv/BigData/hadoop/data1/flumeserver/checkpoint</p>
+</td>
+</tr>
+<tr id="mrs_01_1067__row148017025611"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1067__p58010165613">transactionCapacity</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1067__p1280401564">Specifies the transaction size, that is, the number of events in a transaction that can be processed by the current Channel. The size cannot be smaller than the batchSize of Source. Setting the same size as batchSize is recommended.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1067__p980601569">61200</p>
+</td>
+</tr>
+<tr id="mrs_01_1067__row138090155616"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1067__p18070135614">table</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1067__p188011095613">Specifies the HBase table name. This parameter cannot be left blank.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1067__p15800015567">flume_test</p>
+</td>
+</tr>
+<tr id="mrs_01_1067__row14809014566"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1067__p78060165617">columnFamily</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1067__p188010015568">Specifies the HBase column family name. This parameter cannot be left blank.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1067__p1818016561">cf</p>
+</td>
+</tr>
+<tr id="mrs_01_1067__row8811207568"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1067__p208115065610">batchSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1067__p128110014568">Specifies the maximum number of events written to HBase by Flume in a batch.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1067__p128114014568">61200</p>
+</td>
+</tr>
+<tr id="mrs_01_1067__row581902568"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1067__p58130175620">kerberosPrincipal</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1067__p38120055618">Specifies the Kerberos authentication user, which is mandatory in security versions. This configuration is required only in security clusters.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1067__p8815020567">flume_hbase</p>
+</td>
+</tr>
+<tr id="mrs_01_1067__row1781804563"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.1 "><p id="mrs_01_1067__p148112025615">kerberosKeytab</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.2 "><p id="mrs_01_1067__p7818013561">Specifies the file path for Kerberos authentication, which is mandatory in security versions. This configuration is required only in security clusters.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.3.2.1.1.1.3.3.2.4.1.3 "><p id="mrs_01_1067__p128130145613">/opt/test/conf/user.keytab</p>
+<div class="note" id="mrs_01_1067__note138180185616"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1067__p17812017567">Obtain the <strong id="mrs_01_1067__b87432864412">user.keytab</strong> file from the Kerberos certificate file of the user <strong id="mrs_01_1067__b97448811443">flume_hbase</strong>. In addition, ensure that the user who installs and runs the Flume client has the read and write permissions on the <strong id="mrs_01_1067__b274417814442">user.keytab</strong> file.</p>
+</div></div>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1067__l9f8138372d084391b32e65b61d2e0e15">Click <strong id="mrs_01_1067__b1663063092102913">Export</strong> to save the <strong id="mrs_01_1067__b929200590102913">properties.properties</strong> configuration file to the local.</li></ol>
+</li><li id="mrs_01_1067__en-us_topic_0060185024_li14078610019">Log in to FusionInsight Manager and choose <strong id="mrs_01_1067__b105102059164119">Cluster</strong> &gt; <em id="mrs_01_1067__i1851085912412">Name of the desired cluster</em> &gt; <strong id="mrs_01_1067__b451165917411">Services</strong> &gt; <strong id="mrs_01_1067__b1051195944111">Flume</strong>. On the displayed page, click the <strong id="mrs_01_1067__b1051275914115">Flume</strong> role on the <strong id="mrs_01_1067__b784875214410">Instance</strong> tab page.</li><li id="mrs_01_1067__l392a376a371b437790b4da4acf925702">Select the Flume role of the node where the configuration file is to be uploaded, choose <strong id="mrs_01_1067__b473311884102913">Instance Configurations</strong> &gt; <strong id="mrs_01_1067__b829473976102913">Import</strong> beside the <span class="parmname" id="mrs_01_1067__parmname121404499102913"><b>flume.config.file</b></span>, and select the <strong id="mrs_01_1067__b1315800417102913">properties.properties</strong> file.<div class="note" id="mrs_01_1067__n3e86a79ea98c4b8089687840b273b550"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1067__u5e3247ed1e78493fbf9ccdd8e0bf3d32"><li class="text" id="mrs_01_1067__lcabeb48a4ba44391b9d04b5aeb49dca4">An independent server configuration file can be uploaded to each Flume instance.</li><li class="text" id="mrs_01_1067__la7dfd46f8f4b4bf49eefb168bab2437a">This step is required for updating the configuration file. Modifying the configuration file on the background is an improper operation because the modification will be overwritten after configuration synchronization.</li></ul>
+</div></div>
+</li><li id="mrs_01_1067__l73a389a5b02d491c88fc93afd56e5097">Click <strong id="mrs_01_1067__b304494598102913">Save</strong>, and then click <strong id="mrs_01_1067__b560591023102913">OK</strong>.</li><li id="mrs_01_1067__l3988a98c72b544dd920b09e5fd34f0d3">Click <strong id="mrs_01_1067__b1061807966102913">Finish</strong>.</li></ol>
+</p></li></ol><ol start="4" id="mrs_01_1067__odb5e2d791a0747efb1f3f44b2d08ed9a"><li id="mrs_01_1067__lf76fc1368b4140ada0bb17eee8bda411"><span>Verify log transmission.</span><p><ol type="a" id="mrs_01_1067__o8b3f15b88a5c4a6ebef95bb45e004119"><li id="mrs_01_1067__lb6d1ac0f7d5c482ca9954db87bad5a8d">Go to the directory where the HBase client is installed.<p id="mrs_01_1067__a35822f359f0c46e890dd774867744ee1"><a name="mrs_01_1067__lb6d1ac0f7d5c482ca9954db87bad5a8d"></a><a name="lb6d1ac0f7d5c482ca9954db87bad5a8d"></a><strong id="mrs_01_1067__b1795406682102913">cd /</strong><em id="mrs_01_1067__i231826345102913">Client installation directory</em><strong id="mrs_01_1067__b2102163647102913">/ HBase/hbase</strong></p>
+<p id="mrs_01_1067__acd1212b6a1a2426b860249c5b9411c38"><strong id="mrs_01_1067__b50351756102913">kinit flume_hbase</strong> (Enter the password.)</p>
+</li><li id="mrs_01_1067__l91832aa79f8b4f8fb939dfa7799d186c">Run the <strong id="mrs_01_1067__a384f7b42dcf44af8a5ddb61f5679c824">hbase shell</strong> command to access the HBase client.</li><li id="mrs_01_1067__lc2d1d1c01562406e953143cb65dd94f4">Run the <strong id="mrs_01_1067__b13177143415344">scan 'flume_test'</strong> statement. Logs are written in the HBase column family by line.<pre class="screen" id="mrs_01_1067__s07c629dad14b46ee9d4238d6fa4c23d6">hbase(main):001:0&gt; scan 'flume_test'
+ROW                                                          COLUMN+CELL                                                                                                                                                                    
+2017-09-18 16:05:36,394 INFO  [hconnection-0x415a3f6a-shared--pool2-t1] ipc.AbstractRpcClient: RPC Server Kerberos principal name for service=ClientService is hbase/hadoop.&lt;<em id="mrs_01_1067__i69518547347">system domain name</em>&gt;@&lt;<em id="mrs_01_1067__i1488315016354">system domain name</em>&gt;
+ default4021ff4a-9339-4151-a4d0-00f20807e76d                 column=cf:pCol, timestamp=1505721909388, value=Welcome to flume                                                                                                                
+ incRow                                                      column=cf:iCol, timestamp=1505721909461, value=\x00\x00\x00\x00\x00\x00\x00\x01                                                                                                
+2 row(s) in 0.3660 seconds</pre>
+</li></ol>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1059.html">Non-Encrypted Transmission</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1068.html b/docs/mrs/component-operation-guide/mrs_01_1068.html
new file mode 100644
index 000000000..8c042817b
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+++ b/docs/mrs/component-operation-guide/mrs_01_1068.html
@@ -0,0 +1,21 @@
+<a name="mrs_01_1068"></a><a name="mrs_01_1068"></a>
+
+
+  <h1 class="topictitle1">Encrypted Transmission</h1>
+
+  <div id="body1590374665542"><p id="mrs_01_1068__en-us_topic_0060505295_p8060118"></p>
+</div>
+
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1069.html">Configuring the Encrypted Transmission</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1070.html">Typical Scenario: Collecting Local Static Logs and Uploading Them to HDFS</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0390.html">Using Flume</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1069.html b/docs/mrs/component-operation-guide/mrs_01_1069.html
new file mode 100644
index 000000000..f6b9a5b93
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1069.html
@@ -0,0 +1,302 @@
+<a name="mrs_01_1069"></a><a name="mrs_01_1069"></a>
+
+<h1 class="topictitle1">Configuring the Encrypted Transmission</h1>
+<div id="body1590374668180"><div class="section" id="mrs_01_1069__sbe5c54ef009240e398302ae6b2f2720e"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1069__a1383a9bbef5c46fb933de88be50cfa90">This section describes how to configure the server and client parameters of the Flume service (including the Flume and MonitorServer roles) after the cluster is installed to ensure proper running of the service.</p>
+<p id="mrs_01_1069__p1190153615238">This section applies to MRS 3.<em id="mrs_01_1069__i093142919563">x</em> or later clusters.</p>
+</div>
+<div class="section" id="mrs_01_1069__s048aa13b5aef4d9da5242db03f3d26a0"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_1069__af72a7119f7944ed1acc651f4955fde53">The cluster and Flume service have been installed.</p>
+</div>
+<div class="section" id="mrs_01_1069__s181d3ff144264fda8c6c1bcdccff19d4"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1069__oa93ba287d1e04e0fad158483271bf460"><li id="mrs_01_1069__l5bf2fdcb9de641b4b0907d1e4732dc0e"><span>Generate the certificate trust lists of the server and client of the Flume role respectively.</span><p><ol type="a" id="mrs_01_1069__o092cad884f144a8a9d61b8caafc13e75"><li id="mrs_01_1069__en-us_topic_0060224978_li24199868185">Remotely log in to the node using ECM where the Flume server is to be installed as user <strong id="mrs_01_1069__b1773096759103556">omm</strong>. Go to the <strong id="mrs_01_1069__b171049111722">${BIGDATA_HOME}/FusionInsight_Porter_<span id="mrs_01_1069__text12997111921">8.1.0.1</span>/install/FusionInsight-Flume-1.9.0/flume/bin</strong> directory.<p id="mrs_01_1069__en-us_topic_0060224978_p457333408189"><strong id="mrs_01_1069__b54502827144330">cd ${BIGDATA_HOME}/FusionInsight_Porter_</strong><strong id="mrs_01_1069__b20763398144330"><span id="mrs_01_1069__text476418115245">8.1.0.1</span>/install/FusionInsight-Flume-1.9.0/flume/bin</strong></p>
+<div class="note" id="mrs_01_1069__note16235819151914"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1069__p2023571991915"><span id="mrs_01_1069__text14201225181914">The version 8.1.0.1 is used as an example. Replace it with the actual version number.</span></p>
+</div></div>
+</li><li id="mrs_01_1069__en-us_topic_0060224978_li66651088185">Run the following command to generate and export the server and client certificates of the Flume role:<p id="mrs_01_1069__a4554719168704b95b4fb7832410a8622"><a name="mrs_01_1069__en-us_topic_0060224978_li66651088185"></a><a name="en-us_topic_0060224978_li66651088185"></a><strong id="mrs_01_1069__b79351216122216">sh geneJKS.sh -f </strong><em id="mrs_01_1069__i186817175229">xxx</em><strong id="mrs_01_1069__b79361416152210"> -g </strong><em id="mrs_01_1069__i1247221318226">xxx</em></p>
+<div class="p" id="mrs_01_1069__en-us_topic_0060224978_p8955081851">The generated certificate is saved in the <strong id="mrs_01_1069__b1811991611211">${BIGDATA_HOME}/FusionInsight_Porter_<span id="mrs_01_1069__text1311419168211">8.1.0.1</span>/install/FusionInsight-Flume-1.9.0/flume/conf</strong> path .<ul id="mrs_01_1069__en-us_topic_0060224978_ul35713308185"><li id="mrs_01_1069__lc57db6b6f98b4d90951dc411226229f8"><strong id="mrs_01_1069__b1849217243219">flume_sChat.jks</strong> is the certificate library of the Flume role server. <strong id="mrs_01_1069__b114981824720">flume_sChat.crt</strong> is the exported file of the <strong id="mrs_01_1069__b94997241521">flume_sChat.jks</strong> certificate. <strong id="mrs_01_1069__b2050011249213">-f</strong> indicates the password of the certificate and certificate library.</li><li id="mrs_01_1069__lc39b981cb87b4365a4de2e2679cc8ccd"><strong id="mrs_01_1069__b022813269215">flume_cChat.jks</strong> is the certificate library of the Flume role client. <strong id="mrs_01_1069__b12229122617217">flume_cChat.crt</strong> is the exported file of the <strong id="mrs_01_1069__b62301126522">flume_cChat.jks</strong> certificate. <strong id="mrs_01_1069__b62300261027">-g</strong> indicates the password of the certificate and certificate library.</li><li id="mrs_01_1069__la4c890e165c74559a828630d3b348540"><strong id="mrs_01_1069__b857311281320">flume_sChatt.jks</strong> and <strong id="mrs_01_1069__b185749288213">flume_cChatt.jks</strong> are the SSL certificate trust lists of the Flume server and client, respectively.</li></ul>
+<div class="note" id="mrs_01_1069__n418e768e33de477cb40e72ca5579bbdb"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1069__p8539059123710">All user-defined passwords involved in this section must meet the following requirements:</p>
+<ul id="mrs_01_1069__ueca48f5f48044e51bfae0a382600ce6b"><li id="mrs_01_1069__ldcd1d6206de04c77926aa524e5b7dd2e">The password must contain at least four types of uppercase letters, lowercase letters, digits, and special characters.</li><li id="mrs_01_1069__l52ae25b1b2884878a6ddbab53c72b803">The password must contain 8 to 64 characters.</li><li id="mrs_01_1069__le5f6aa38237c49f39a0370096d47230e">It is recommended that the user-defined passwords be changed periodically (for example, every three months), and certificates and trust lists be generated again to ensure security.</li></ul>
+</div></div>
+</div>
+</li></ol>
+</p></li><li id="mrs_01_1069__led00d5ff6f0a4cb7a007206d410be239"><span>Configure the server parameters of the Flume role and upload the configuration file to the cluster.</span><p><ol type="a" id="mrs_01_1069__ode8a59efe3a449f582450327c51b5f8f"><li id="mrs_01_1069__ld5c15499fb6946cb9bfc9b381b2b7e0c">Remotely log in to any node where the Flume role is located as user <strong id="mrs_01_1069__b2141630191103556">omm</strong> using ECM. Run the following command to go to the ${BIGDATA_HOME}/FusionInsight_Porter_<span id="mrs_01_1069__text17306532534">8.1.0.1</span>/install/FusionInsight-Flume-1.9.0/flume/bin directory:<p class="litext" id="mrs_01_1069__aafe1a91e07d44dbaa622ada264b15486"><strong id="mrs_01_1069__b754444144422">cd ${BIGDATA_HOME}/FusionInsight_Porter_</strong><strong id="mrs_01_1069__b6789997144422"><span id="mrs_01_1069__text1398751752619">8.1.0.1</span>/install/FusionInsight-Flume-1.9.0/flume/bin</strong></p>
+</li><li id="mrs_01_1069__l9f81f0e892824e79a1414cd62cce07ba"><a name="mrs_01_1069__l9f81f0e892824e79a1414cd62cce07ba"></a><a name="l9f81f0e892824e79a1414cd62cce07ba"></a>Run the following command to generate and obtain Flume server keystore password, trust list password, and keystore-password encrypted private key information. Enter the password twice and confirm the password. It is the password of the <strong id="mrs_01_1069__b122633619312">flume_sChat.jks</strong> certificate library.<p class="litext" id="mrs_01_1069__a6678de18ac23434d8e868d161400537a"><strong id="mrs_01_1069__a73e51850629c48b1988c7f51294eed84">./genPwFile.sh</strong></p>
+<p class="litext" id="mrs_01_1069__a334621ad4eac48d1a312ae006fa5810d"><strong id="mrs_01_1069__ad359ed2fd1d54717bbb5fe0b3c589ce4">cat password.property</strong></p>
+</li><li id="mrs_01_1069__labfff5b8f09a4c8ebfd0073968005a68">Use the Flume configuration tool on the FusionInsight Manager portal to configure the server parameters and generate the configuration file.<ol class="substepthirdol" id="mrs_01_1069__oad087c1a1a72488ea71df9537340d485"><li id="mrs_01_1069__l1a6787ba87da4ee38b5d53127892ac94">Log in to FusionInsight Manager. Choose <strong id="mrs_01_1069__b20501153111412">Services</strong> &gt; <strong id="mrs_01_1069__b125021231101411">Flume</strong> &gt; <strong id="mrs_01_1069__b1450211318141">Configuration Tool</strong>.</li><li id="mrs_01_1069__l818b241cf0424a27871a82317d3c2508">Set <strong id="mrs_01_1069__b157071431320">Agent Name</strong> to <strong id="mrs_01_1069__b57132431837">server</strong>. Select the source, channel, and sink to be used, drag them to the GUI on the right, and connect them.<p id="mrs_01_1069__adfb5b1dd04e04c0ea92ab0a247281737">For example, use Avro Source, File Channel, and HDFS Sink.</p>
+</li><li id="mrs_01_1069__l0775d24db9e741c2aaf71b2a3c833942">Double-click the source, channel, and sink. Set corresponding configuration parameters by seeing <a href="#mrs_01_1069__te7d3219190a74a0aba371689e6bdb84d">Table 1</a> based on the actual environment.<div class="note" id="mrs_01_1069__n86dab18147cf479a8a826928944f709a"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1069__uebae1a9f0e9b42fe8824c0311fd86717"><li id="mrs_01_1069__l6ee44f1332784fa5952dece0e58d41f5">If the server parameters of the Flume role have been configured, you can choose <strong id="mrs_01_1069__b1665059724103556">Services</strong> &gt; <strong id="mrs_01_1069__b2035398176103556">Flume</strong> &gt; <strong id="mrs_01_1069__b362201025103556">Instance</strong> on FusionInsight Manager. Then select the corresponding Flume role instance and click the <strong id="mrs_01_1069__b1735957651103556">Download</strong> button behind the <span class="parmname" id="mrs_01_1069__parmname1913608539103556"><b>flume.config.file</b></span> parameter on the <strong id="mrs_01_1069__b110821772103556">Instance Configurations</strong> page to obtain the existing server parameter configuration file. Choose <strong id="mrs_01_1069__b1374241114018">Services</strong> &gt; <strong id="mrs_01_1069__b191441743164019">Flume</strong> &gt; <strong id="mrs_01_1069__b0888124620401">Import</strong> to change the relevant configuration items of encrypted transmission after the file is imported.</li><li id="mrs_01_1069__l8ed79e3017b44da196e210659de51e54">It is recommended that the numbers of Sources, Channels, and Sinks do not exceed 40 during configuration file import. Otherwise, the response time may be very long.</li></ul>
+</div></div>
+</li><li id="mrs_01_1069__la310363819904f52b26042db556e1178">Click <strong id="mrs_01_1069__b1281501815103556">Export</strong> to save the <strong id="mrs_01_1069__b1765011827103556">properties.properties</strong> configuration file to the local.
+<div class="tablenoborder"><a name="mrs_01_1069__te7d3219190a74a0aba371689e6bdb84d"></a><a name="te7d3219190a74a0aba371689e6bdb84d"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1069__te7d3219190a74a0aba371689e6bdb84d" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters to be modified of the Flume role server</caption><thead align="left"><tr id="mrs_01_1069__r524c9b81575941a49e9fd1a608ee2164"><th align="left" class="cellrowborder" valign="top" width="23.232323232323232%" id="mcps1.3.3.2.2.2.1.3.1.4.3.2.4.1.1"><p id="mrs_01_1069__acb06093b72514b03a8c583ee09bc01f3">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="45.45454545454545%" id="mcps1.3.3.2.2.2.1.3.1.4.3.2.4.1.2"><p id="mrs_01_1069__a1771cd69ac2d413e9ca3a10941bd1ed1">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="31.313131313131308%" id="mcps1.3.3.2.2.2.1.3.1.4.3.2.4.1.3"><p id="mrs_01_1069__a3832538841d94ce3b86f280159e7018c">Example Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1069__r03c27534741a4e7dbb76f81d0fe541d9"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.2.2.1.3.1.4.3.2.4.1.1 "><p id="mrs_01_1069__a3c5aa558db8e433ea541ad7fa9757b18">ssl</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.2.2.1.3.1.4.3.2.4.1.2 "><p id="mrs_01_1069__af2248c9416a3483d8d8ff008c76e9bcb">Specifies whether to enable the SSL authentication. (You are advised to enable this function to ensure security.)</p>
+<ul id="mrs_01_1069__u8f9cae6b76b04fe485bf5ae6cee73593"><li id="mrs_01_1069__l3a731b4cf9ac49e9b99421a7e97deb3d"><strong id="mrs_01_1069__b1739375423103556">true</strong> indicates that the function is enabled.</li><li id="mrs_01_1069__ld28e92c4c904491d9c7ed2167f7bbd55"><strong id="mrs_01_1069__b2100220203103556">false</strong> indicates that the client authentication function is not enabled.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.2.2.1.3.1.4.3.2.4.1.3 "><p id="mrs_01_1069__aa6a9a177c5274c5b820bebec3112259e">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1069__r59ad83fc9469428f88444b219ebcaa57"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.2.2.1.3.1.4.3.2.4.1.1 "><p id="mrs_01_1069__a55291684bbf243ab85d70b554515ce6d">keystore</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.2.2.1.3.1.4.3.2.4.1.2 "><p id="mrs_01_1069__a868192a0013e4afe9e10c27d60e5d6b8">Indicates the server certificate.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.2.2.1.3.1.4.3.2.4.1.3 "><p id="mrs_01_1069__a9fc0bc26bcad4a38b9df8dcae5171d7e">${BIGDATA_HOME<strong id="mrs_01_1069__b590011411302">}</strong>/FusionInsight_Porter_<span id="mrs_01_1069__text128261139152518">8.1.0.1</span>/install/FusionInsight-Flume-1.9.0/flume/conf/flume_sChat.jks</p>
+</td>
+</tr>
+<tr id="mrs_01_1069__rcebf254f210a4a4b8192b0b310f8470a"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.2.2.1.3.1.4.3.2.4.1.1 "><p id="mrs_01_1069__a283b4d1569434422b6b03a5f2db9c6ed">keystore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.2.2.1.3.1.4.3.2.4.1.2 "><p id="mrs_01_1069__ad2871f3017574941836bcc802edbc876">Specifies the password of the key library, which is the password required to obtain the keystore information.</p>
+<p id="mrs_01_1069__a6740a426d8d44e5fa82255482861dd35">Enter the value of password obtained in <a href="#mrs_01_1069__l9f81f0e892824e79a1414cd62cce07ba">2.b</a>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.2.2.1.3.1.4.3.2.4.1.3 "><p id="mrs_01_1069__a19c9511159404e06a5f5d08419bb47b6">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1069__r8b0c93234f6c4306bbeee9faff8129b9"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.2.2.1.3.1.4.3.2.4.1.1 "><p id="mrs_01_1069__a8da6cae13b0e44dfab2f232253dbb81e">truststore</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.2.2.1.3.1.4.3.2.4.1.2 "><p id="mrs_01_1069__a5874cf222b5847c9ba650a2365978681">Indicates the SSL certificate trust list of the server.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.2.2.1.3.1.4.3.2.4.1.3 "><p id="mrs_01_1069__ae3e21b07b8984f5d92d45161b888b28e">${BIGDATA_HOME<strong id="mrs_01_1069__b927935793010">}</strong>/FusionInsight_Porter_<span id="mrs_01_1069__text0906859102515">8.1.0.1</span>/install/FusionInsight-Flume-1.9.0/flume/conf/flume_sChatt.jks</p>
+</td>
+</tr>
+<tr id="mrs_01_1069__re5e075185cd84147a033d5ccc4721ffb"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.2.2.1.3.1.4.3.2.4.1.1 "><p id="mrs_01_1069__a43771f24503743988b3b30f39733b9a8">truststore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.2.2.1.3.1.4.3.2.4.1.2 "><p id="mrs_01_1069__a25a95555e1f545ea8cd32394ae80caf2">Specifies the trust list password, which is the password required to obtain the truststore information.</p>
+<p id="mrs_01_1069__aac37e932d2544d3bbc0430aae448b8b8">Enter the value of password obtained in <a href="#mrs_01_1069__l9f81f0e892824e79a1414cd62cce07ba">2.b</a>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.2.2.1.3.1.4.3.2.4.1.3 "><p id="mrs_01_1069__af737462507234a61bbb37f5553089f23">-</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ol>
+</li><li id="mrs_01_1069__lcdff6a7486154b09ba145934bb2a699d">Log in to FusionInsight Manager and choose <strong id="mrs_01_1069__b1792984747103556">Cluster</strong> &gt; <em id="mrs_01_1069__i1695538362103556">Name of the desired cluster</em> &gt; <strong id="mrs_01_1069__b1025461252103556">Services</strong> &gt; <strong id="mrs_01_1069__b114727030103556">Flume</strong>. On the displayed page, click the <strong id="mrs_01_1069__b438431129103556">Flume</strong> role under <strong id="mrs_01_1069__b22022251103556">Role</strong>.</li><li id="mrs_01_1069__l7cbd8c672618474091fdf2287f907057">Select the Flume role of the node where the configuration file is to be uploaded, choose <strong id="mrs_01_1069__b1983410547103556">Instance Configurations</strong> &gt; <strong id="mrs_01_1069__b1428978062103556">Import</strong> beside the <span class="parmname" id="mrs_01_1069__parmname289128791103556"><b>flume.config.file</b></span>, and select the <strong id="mrs_01_1069__b358439997103556">properties.properties</strong> file.<div class="note" id="mrs_01_1069__n5a9b326e7a01406bbce5a04829f36a0a"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1069__ue2316acc02f147d0aa39b30664469132"><li class="text" id="mrs_01_1069__l848704a851dd4db2a6c58f6878754e9e">An independent server configuration file can be uploaded to each Flume instance.</li><li class="text" id="mrs_01_1069__l2c5f35cf6541481ea553a0b626e1d130">This step is required for updating the configuration file. Modifying the configuration file on the background is an improper operation because the modification will be overwritten after configuration synchronization.</li></ul>
+</div></div>
+</li><li id="mrs_01_1069__la7f90ecab98d474bb42dd27e52c011f8">Click <strong id="mrs_01_1069__b1598151725103556">Save</strong>, and then click <strong id="mrs_01_1069__b632544060103556">OK</strong>. Click <strong id="mrs_01_1069__b1478444589103556">Finish</strong>.</li></ol>
+</p></li><li id="mrs_01_1069__l0e1ab5b1ca254e0c9379c6a06b27d3c4"><span>Set the client parameters of the Flume role.</span><p><ol type="a" id="mrs_01_1069__oe37456526a5f436883b42c100c1b75aa"><li id="mrs_01_1069__lc602b6cb04d448aa98af2bf025861be5">Run the following commands to copy the generated client certificate (<strong id="mrs_01_1069__b245756305103556">flume_cChat.jks</strong>) and client trust list (<strong id="mrs_01_1069__b1866930768103556">flume_cChatt.jks</strong>) to the client directory, for example, <strong id="mrs_01_1069__b2089253942103556">/opt/flume-client/fusionInsight-flume-1.9.0/conf/</strong>. (The Flume client must have been installed.) <strong id="mrs_01_1069__b1610081560103556">10.196.26.1</strong> is the service plane IP address of the node where the client resides.<p class="litext" id="mrs_01_1069__a8fd63b10290945e390f0a77170fc3ff3"><strong id="mrs_01_1069__b46326001144455">scp ${BIGDATA_HOME}/FusionInsight_Porter_</strong><strong id="mrs_01_1069__b13131627443"><span id="mrs_01_1069__text2083513972612">8.1.0.1</span></strong><strong id="mrs_01_1069__b14280833144455">/install/FusionInsight-Flume-1.9.0/flume/conf/flume_cChat.jks user@10.196.26.1:/opt/flume-client/fusionInsight-flume-1.9.0/conf/</strong></p>
+<p class="litext" id="mrs_01_1069__a9a398ae331244c33a47cd5654a3f63be"><strong id="mrs_01_1069__b2902543714455">scp ${BIGDATA_HOME}/FusionInsight_Porter_</strong><strong id="mrs_01_1069__b155284291048"><span id="mrs_01_1069__text14414738182614">8.1.0.1</span></strong><strong id="mrs_01_1069__b5990234314455">/install/FusionInsight-Flume-1.9.0/flume/conf/flume_cChatt.jks user@10.196.26.1:/opt/flume-client/fusionInsight-flume-1.9.0/conf/</strong></p>
+<div class="note" id="mrs_01_1069__n9531eb8acf0144a0a05a333d313248db"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_1069__acf3f146edbc64c90915c75ecdaeb02a5">When copying the client certificate, you need to enter the password of user <strong id="mrs_01_1069__b382381643103556">user</strong> of the host (for example, <strong id="mrs_01_1069__b574824328103556">10.196.26.1</strong>) where the client resides.</p>
+</div></div>
+</li><li id="mrs_01_1069__l313c23b332f748b69e7166d8120d0ece">Log in to the node where the Flume client is decompressed as user <strong id="mrs_01_1069__af14ff932396049e482cf7328649cf482">user</strong>. Run the following command to go to the client directory <strong id="mrs_01_1069__b63131250115014">opt/flume-client/fusionInsight-flume-1.9.0/bin</strong>.<p class="litext" id="mrs_01_1069__a6be3acd9f62444ac93488e43ca61e73d"><strong id="mrs_01_1069__a372666d463d94e9f98105ab0a8093185">cd </strong><strong id="mrs_01_1069__b1414042073316">opt/flume-client/fusionInsight-flume-1.9.0/bi</strong><strong id="mrs_01_1069__b1789715923719">n</strong></p>
+</li><li id="mrs_01_1069__l5265677717ab4dd5971a3b6a0d0be5f6"><a name="mrs_01_1069__l5265677717ab4dd5971a3b6a0d0be5f6"></a><a name="l5265677717ab4dd5971a3b6a0d0be5f6"></a>Run the following command to generate and obtain Flume client keystore password, trust list password, and keystore-password encrypted private key information. Enter the password twice and confirm the password. The password is the same as the password of the certificate whose alias is <em id="mrs_01_1069__i1720730167103556">flumechatclient</em> and the password of the <em id="mrs_01_1069__i1001972602103556">flume_cChat.jks</em> certificate library.<p class="litext" id="mrs_01_1069__aa536463167e3473282a4f35b102e13e8"><strong id="mrs_01_1069__a3ef92597b3f54926ae6a3034fd456316">./genPwFile.sh</strong></p>
+<p class="litext" id="mrs_01_1069__a06c44a26a7174de089b443d5dc2ee027"><strong id="mrs_01_1069__ae889dda7cbff434c9d2f667e7c456e8d">cat password.property</strong></p>
+<div class="note" id="mrs_01_1069__n9c39b3fb63bb42adb348593f17d20a16"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_1069__aaa13c2dfbd8d42bab1d660be4a46d213">If the following error message is displayed, run the export <strong id="mrs_01_1069__b57954478103556">JAVA_HOME=<em id="mrs_01_1069__i683143690103556">JDK</em><em id="mrs_01_1069__i1686563102103556"> path</em></strong> command.</p>
+<pre class="screen" id="mrs_01_1069__sced4e3cc9a6b4d268014fc79fc358298">JAVA_HOME is null in current user,please install the JDK and set the JAVA_HOME</pre>
+</div></div>
+</li><li id="mrs_01_1069__li1686593619549">Run the <strong id="mrs_01_1069__b592359143017">echo $SCC_PROFILE_DIR</strong> command to check whether the <strong id="mrs_01_1069__b2011416203300">SCC_PROFILE_DIR</strong> environment variable is empty.<ul id="mrs_01_1069__ul6543127125720"><li id="mrs_01_1069__li125431627125712">If yes, run the <strong id="mrs_01_1069__b9473534103019">source .sccfile</strong> command.</li><li id="mrs_01_1069__li1483204513576">If no, go to <a href="#mrs_01_1069__l1267a09eec45401986e9df78695f5d4c">3.e</a>.</li></ul>
+</li><li id="mrs_01_1069__l1267a09eec45401986e9df78695f5d4c"><a name="mrs_01_1069__l1267a09eec45401986e9df78695f5d4c"></a><a name="l1267a09eec45401986e9df78695f5d4c"></a>Use the Flume configuration tool on FusionInsight Manager to configure the Flume role client parameters and generate a configuration file.<ol class="substepthirdol" id="mrs_01_1069__o22812bc7c2224b96bf5bd8dc84863626"><li id="mrs_01_1069__l3895268cdb484dcc9112cef361cb601f">Log in to FusionInsight Manager and choose <strong id="mrs_01_1069__b101385471103556">Cluster</strong> &gt; <em id="mrs_01_1069__i899139178103556">Name of the desired cluster</em> &gt; <strong id="mrs_01_1069__b955704738103556">Services</strong> &gt; <strong id="mrs_01_1069__b511925024103556">Flume</strong> &gt; <strong id="mrs_01_1069__b1089571059103556">Configuration Tool</strong>.</li><li id="mrs_01_1069__l01c8a7d62b7f482ea1fd6da6a692eda1">Set <strong id="mrs_01_1069__b1505425561103556">Agent Name</strong> to <strong id="mrs_01_1069__b736269518103556">client</strong>. Select the source, channel, and sink to be used, drag them to the GUI on the right, and connect them.<p id="mrs_01_1069__abd19bc917bf84754b92fa025d0823dc4">For example, use SpoolDir Source, File Channel, and Avro Sink.</p>
+</li><li id="mrs_01_1069__lde72ff46c82d4310a6569d9d12eb378c">Double-click the source, channel, and sink. Set corresponding configuration parameters by seeing <a href="#mrs_01_1069__t231a870090124a8e8556717e6a7db11c">Table 2</a> based on the actual environment.<div class="note" id="mrs_01_1069__naee33bdf559949be893c028cbcd37f20"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1069__ued52685e2cae4ef38f43db68be688f3e"><li id="mrs_01_1069__l89946580c2e04e85879dfec339318397">If the client parameters of the Flume role have been configured, you can obtain the existing client parameter configuration file from <em id="mrs_01_1069__i119511030103556">client installation directory</em><strong id="mrs_01_1069__b1683761126103556">/fusioninsight-flume-1.9.0/conf/properties.properties</strong> to ensure that the configuration is in concordance with the previous. Log in to FusionInsight Manager, choose <strong id="mrs_01_1069__b1238247599103556">Cluster</strong> &gt; <em id="mrs_01_1069__i1882665331103556">Name of the desired cluster</em> &gt; <strong id="mrs_01_1069__b154142613103556">Services</strong> &gt; <strong id="mrs_01_1069__b177339562103556">Flume</strong> &gt; <strong id="mrs_01_1069__b849487367103556">Configuration Tool</strong> &gt; <strong id="mrs_01_1069__b2077697417103556">Import</strong>, import the file, and modify the configuration items related to encrypted transmission.</li><li id="mrs_01_1069__laf71b98911344b51a67e753087f29759">It is recommended that the numbers of Sources, Channels, and Sinks do not exceed 40 during configuration file import. Otherwise, the response time may be very long.</li><li id="mrs_01_1069__l955e95d5455e49deb273a1207aac9965">A unique checkpoint directory needs to be configured for each File Channel.</li></ul>
+</div></div>
+</li><li id="mrs_01_1069__lc6fb0bf0aa7141a79e498b8e6d6b0c41">Click <strong id="mrs_01_1069__b1271792839103556">Export</strong> to save the <strong id="mrs_01_1069__b560955016103556">properties.properties</strong> configuration file to the local.
+<div class="tablenoborder"><a name="mrs_01_1069__t231a870090124a8e8556717e6a7db11c"></a><a name="t231a870090124a8e8556717e6a7db11c"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1069__t231a870090124a8e8556717e6a7db11c" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Parameters to be modified of the Flume role client</caption><thead align="left"><tr id="mrs_01_1069__r327415b1e7b94993ab59cd052de50ac0"><th align="left" class="cellrowborder" valign="top" width="33%" id="mcps1.3.3.2.3.2.1.5.1.4.3.2.4.1.1"><p id="mrs_01_1069__a7a56f2f01c524ed29929bf1b0c793572">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33%" id="mcps1.3.3.2.3.2.1.5.1.4.3.2.4.1.2"><p id="mrs_01_1069__af87e2d59935149589d1d7f88d5ce001e">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="34%" id="mcps1.3.3.2.3.2.1.5.1.4.3.2.4.1.3"><p id="mrs_01_1069__a64fd13bfec804ad38b73468d22bbdb43">Example Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1069__rc80e2adc06f441d6882a97a2dcc12835"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.3.2.1.5.1.4.3.2.4.1.1 "><p id="mrs_01_1069__a5f23fbe951764e8e8260ea5f285e620d">ssl</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.3.2.1.5.1.4.3.2.4.1.2 "><p id="mrs_01_1069__acbac37da20db4a82b0b5722aa603d7a5">Indicates whether to enable the SSL authentication. (You are advised to enable this function to ensure security.)</p>
+<ul id="mrs_01_1069__u1d4dbe29089e45e097c99f8ab22d9931"><li id="mrs_01_1069__l53350bb2a9e64e20b0deaf3bb5ba7a99"><strong id="mrs_01_1069__b1027598422103556">true</strong> indicates that the function is enabled.</li><li id="mrs_01_1069__lfed67f48e66d41e6a1a71582cd610435"><strong id="mrs_01_1069__b924202165103556">false</strong> indicates that the client authentication function is not enabled.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.3.2.1.5.1.4.3.2.4.1.3 "><p id="mrs_01_1069__a1fbfdc97fff14575803eb5ced83d7c3f">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1069__r78e269f3b8924aeaa7c5f43871c3aa32"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.3.2.1.5.1.4.3.2.4.1.1 "><p id="mrs_01_1069__afab832b5a79a4f26a72b8787a2ba7032">keystore</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.3.2.1.5.1.4.3.2.4.1.2 "><p id="mrs_01_1069__a645b748d0ecf49cdaeb17389ed530891">Specified the client certificate.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.3.2.1.5.1.4.3.2.4.1.3 "><p id="mrs_01_1069__ab2f074ee556045298a594192379d6760">/opt/flume-client/fusionInsight-flume-1.9.0/conf/flume_cChat.jks</p>
+</td>
+</tr>
+<tr id="mrs_01_1069__ra60759d289c74b5a938eb4e858be772d"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.3.2.1.5.1.4.3.2.4.1.1 "><p id="mrs_01_1069__a9b189b4694fa4530980b13c7a6c7d49e">keystore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.3.2.1.5.1.4.3.2.4.1.2 "><p id="mrs_01_1069__aff8c152fbd85494087562f68c9241645">Specifies the password of the key library, which is the password required to obtain the keystore information.</p>
+<p id="mrs_01_1069__ac4dcdccbe2e34ba4bb049a9022887ce5">Enter the value of password obtained in <a href="#mrs_01_1069__l5265677717ab4dd5971a3b6a0d0be5f6">3.c</a>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.3.2.1.5.1.4.3.2.4.1.3 "><p id="mrs_01_1069__ab05c639ee1fe4c1eb9d981c3ff3f8224">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1069__r61a3a2674a494d40bab7e07b81c9a579"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.3.2.1.5.1.4.3.2.4.1.1 "><p id="mrs_01_1069__af90371f88a774e6a9f42880683712112">truststore</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.3.2.1.5.1.4.3.2.4.1.2 "><p id="mrs_01_1069__abb11b72226a24d138c67133fb29b0b4f">Indicates the SSL certificate trust list of the client.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.3.2.1.5.1.4.3.2.4.1.3 "><p id="mrs_01_1069__a9e700dfab236485783d246793a037a5b">/opt/flume-client/fusionInsight-flume-1.9.0/conf/flume_cChatt.jks</p>
+</td>
+</tr>
+<tr id="mrs_01_1069__r1de123283f7647039452731e8c4e4d1f"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.3.2.1.5.1.4.3.2.4.1.1 "><p id="mrs_01_1069__ab79e01dfa9fb4119b7aee98289052514">truststore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.3.2.1.5.1.4.3.2.4.1.2 "><p id="mrs_01_1069__a80914a59b4e445ef943a70ffdd38efe6">Specifies the trust list password, which is the password required to obtain the truststore information.</p>
+<p id="mrs_01_1069__ac5e99aa774b04685b48bb0e6b12e3700">Enter the value of password obtained in <a href="#mrs_01_1069__l5265677717ab4dd5971a3b6a0d0be5f6">3.c</a>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.3.2.1.5.1.4.3.2.4.1.3 "><p id="mrs_01_1069__aa4ca176c70744f1a85190d131bb00cb5">-</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ol>
+</li><li id="mrs_01_1069__l72f19f5f79bc4a80844819607b481d0a">Upload the <strong id="mrs_01_1069__b196061667442">properties.properties</strong> file to <strong id="mrs_01_1069__b1761214604413">flume/conf/</strong> under the installation directory of the Flume client.</li></ol>
+</p></li><li id="mrs_01_1069__l040f3fe19e324e5fb0c6994a812af183"><span>Generate the certificate and trust list of the server and client of the MonitorServer role respectively.</span><p><ol type="a" id="mrs_01_1069__o194ccf7444984436991ef7fbbf03e434"><li id="mrs_01_1069__l36307a2f4a7c41a1a7c6e52328caf810">Log in to the host using ECM with the MonitorServer role assigned as user <strong id="mrs_01_1069__b1995105136103556">omm</strong>.<p id="mrs_01_1069__ae5cee460c0ad49f59c1a501b78793750">Go to the <strong id="mrs_01_1069__b696588451103556">${BIGDATA_HOME}/FusionInsight_Porter_<span id="mrs_01_1069__text149224559266">8.1.0.1</span>/install/FusionInsight-Flume-1.9.0/flume/bin</strong> directory.</p>
+<p class="litext" id="mrs_01_1069__a7fcc6b23fde6401d96a4c006f2c71be7"><strong id="mrs_01_1069__b768265144523">cd ${BIGDATA_HOME}/FusionInsight_Porter_</strong><strong id="mrs_01_1069__b193826615511"><span id="mrs_01_1069__text1689083152716">8.1.0.1</span></strong><strong id="mrs_01_1069__b6914389144523">/install/FusionInsight-Flume-1.9.0/flume/bin</strong></p>
+</li><li id="mrs_01_1069__l1dff82d92e2140b78890899a56c26669">Run the following command to generate and export the server and client certificates of the MonitorServer role:<p id="mrs_01_1069__af5a62b6b11024f23a890153652cdef25"><a name="mrs_01_1069__l1dff82d92e2140b78890899a56c26669"></a><a name="l1dff82d92e2140b78890899a56c26669"></a><strong id="mrs_01_1069__b194211405443">sh geneJKS.sh -m </strong><em id="mrs_01_1069__i1111344114443">xxx</em><strong id="mrs_01_1069__b1494313402449"> -n <em id="mrs_01_1069__i26141246164417">xxx</em></strong></p>
+<p id="mrs_01_1069__a5596b192771541b1ba698653ef0a6c11">The generated certificate is saved in the <strong id="mrs_01_1069__b756783043103556">${BIGDATA_HOME}/FusionInsight_Porter_<span id="mrs_01_1069__text1164693572715">8.1.0.1</span>/install/FusionInsight-Flume-1.9.0/flume/conf</strong> path. Where:</p>
+<ul id="mrs_01_1069__u7fb0548fb69d4657b83b4e4ed30dac3b"><li id="mrs_01_1069__lff4943de106f47a39e7beed5979c96ce"><strong id="mrs_01_1069__b1037417156103556">ms_sChat.jks</strong> is the certificate library of the MonitorServer role server. <strong id="mrs_01_1069__b111864760103556">ms_sChat.crt</strong> is the exported file of the <strong id="mrs_01_1069__b1838502681103556">ms_sChat.jks</strong> certificate. <strong id="mrs_01_1069__b2130403287103556">-m</strong> indicates the password of the certificate and certificate library.</li><li id="mrs_01_1069__l008035fc2a204cf19dae25bee37435e6"><strong id="mrs_01_1069__b77795189103556">ms_cChat.jks</strong> is the certificate library of the MonitorServer role client. <strong id="mrs_01_1069__b1381321763103556">ms_cChat.crt</strong> is the exported file of the <strong id="mrs_01_1069__b684679964103556">ms_cChat.jks</strong> certificate. <strong id="mrs_01_1069__b484965766103556">-n</strong> indicates the password of the certificate and certificate library.</li><li id="mrs_01_1069__l561e1d6af5884f05babd57ad17beb627"><strong id="mrs_01_1069__b397508696103556">ms_sChatt.jks</strong> and <strong id="mrs_01_1069__b1472474806103556">ms_cChatt.jks</strong> are the SSL certificate trust lists of the MonitorServer server and client, respectively.</li></ul>
+</li></ol>
+</p></li><li id="mrs_01_1069__l2ac6aa5d81ad48cdb31add9282c5e6e9"><span>Set the server parameters of the MonitorServer role.</span><p><ol type="a" id="mrs_01_1069__o6bc607c536bb47b8aba23a06f9583eae"><li id="mrs_01_1069__l7cc74e0469cb45f4aba9974f2846c1e0"><a name="mrs_01_1069__l7cc74e0469cb45f4aba9974f2846c1e0"></a><a name="l7cc74e0469cb45f4aba9974f2846c1e0"></a>Run the following command to generate and obtain MonitorServer server keystore password, trust list password, and keystore-password encrypted private key information. Enter the password twice and confirm the password. The password is the same as the password of the certificate whose alias is <em id="mrs_01_1069__i1626082082103556">mschatserver</em> and the password of the <em id="mrs_01_1069__i901978482103556">ms_sChat.jks</em> certificate library.<p class="litext" id="mrs_01_1069__a69cbf93fdfb0406f9dbe720ecbc4862b"><strong id="mrs_01_1069__aaf4ad781445d4a1b822500ab2313f222">./genPwFile.sh</strong></p>
+<p class="litext" id="mrs_01_1069__ab69dc0c20d0145fab84855b149e6860c"><strong id="mrs_01_1069__a2269293225154b308f5cfe6a6b9fb5f3">cat password.property</strong></p>
+</li><li id="mrs_01_1069__la99996c3507143ae9c95b637f4c3470f">Run the following command to open the ${BIGDATA_HOME}/FusionInsight_Porter_<span id="mrs_01_1069__text7370184612717">8.1.0.1</span>/install/FusionInsight-Flume-1.9.0/flume/conf/service/application.properties file: Modify related parameters based on the description in <a href="#mrs_01_1069__tc0d290285ae94086985870f879b563c2">Table 3</a>, save the modification, and exit.<p class="litext" id="mrs_01_1069__a9888ce411b444709b69cdb6cfb132459"><strong id="mrs_01_1069__b3294914314468">vi ${BIGDATA_HOME}/FusionInsight_Porter_</strong><span id="mrs_01_1069__text6288123116286">8.1.0.1</span><strong id="mrs_01_1069__b2810683614468">/install/FusionInsight-Flume-1.9.0/flume/conf/service/application.properties</strong></p>
+
+<div class="tablenoborder"><a name="mrs_01_1069__tc0d290285ae94086985870f879b563c2"></a><a name="tc0d290285ae94086985870f879b563c2"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1069__tc0d290285ae94086985870f879b563c2" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Parameters to be modified of the MonitorServer role server</caption><thead align="left"><tr id="mrs_01_1069__radb151167ad549739e239b32b8688bf7"><th align="left" class="cellrowborder" valign="top" width="22.447755224477554%" id="mcps1.3.3.2.5.2.1.2.4.2.4.1.1"><p id="mrs_01_1069__ac4b16886be8b4b05a3a05da016c436f4">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="38.77612238776123%" id="mcps1.3.3.2.5.2.1.2.4.2.4.1.2"><p id="mrs_01_1069__a1c9a3c2856e243c387dbf0851f23d61c">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="38.77612238776123%" id="mcps1.3.3.2.5.2.1.2.4.2.4.1.3"><p id="mrs_01_1069__a0aa3688aee404356960d6fa07bc708d5">Example Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1069__r8f17d36e7032427ebf902dfbf5ea24ea"><td class="cellrowborder" valign="top" width="22.447755224477554%" headers="mcps1.3.3.2.5.2.1.2.4.2.4.1.1 "><p id="mrs_01_1069__a0bb61881b7dd429d8284dcd004f97588">ssl_need_kspasswd_decrypt_key</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.5.2.1.2.4.2.4.1.2 "><p id="mrs_01_1069__a5af916904364423cafe7e2c78e4dff2e">Specifies whether to enable the user-defined key encryption and decryption function. (You are advised to enable this function to ensure security.)</p>
+<ul id="mrs_01_1069__u29bbc6fc83524f18b5dbe93d4a21f3ab"><li id="mrs_01_1069__l4fa3764cf67a4da095da39758a5dc040"><strong id="mrs_01_1069__b426283910103556">true</strong> indicates that the function is enabled.</li><li id="mrs_01_1069__lf587cbcd0c0f4bf1a6e7e4e388fe402b"><strong id="mrs_01_1069__b675093740103556">false</strong> indicates that the client authentication function is not enabled.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.5.2.1.2.4.2.4.1.3 "><p id="mrs_01_1069__a92bc64609da1485392625c0a71681f45">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1069__r101dd95dbd054b0e86a5b45f82b7c548"><td class="cellrowborder" valign="top" width="22.447755224477554%" headers="mcps1.3.3.2.5.2.1.2.4.2.4.1.1 "><p id="mrs_01_1069__a699a0d5e6a284201a53c9bc5770d782b">ssl_server_enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.5.2.1.2.4.2.4.1.2 "><p id="mrs_01_1069__a0d8e68e92192435aa485c067bfd68fe8">Indicates whether to enable the SSL authentication. (You are advised to enable this function to ensure security.)</p>
+<ul id="mrs_01_1069__u494146fff6c0489b82aa20132bfb2717"><li id="mrs_01_1069__l22866095ab2e430cb77c567a8553be3c"><strong id="mrs_01_1069__b1972633776103556">true</strong> indicates that the function is enabled.</li><li id="mrs_01_1069__l0f15b80e5cea41878d6214fb2e61d2ba"><strong id="mrs_01_1069__b1254287306103556">false</strong> indicates that the client authentication function is not enabled.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.5.2.1.2.4.2.4.1.3 "><p id="mrs_01_1069__a129c3ea2e74e4759a639a623674c2d08">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1069__r78e680337f314eeaa534f7c019d85b1c"><td class="cellrowborder" valign="top" width="22.447755224477554%" headers="mcps1.3.3.2.5.2.1.2.4.2.4.1.1 "><p id="mrs_01_1069__a6f03a179f32443e994b5d4abb083ef79">ssl_server_key_store</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.5.2.1.2.4.2.4.1.2 "><p id="mrs_01_1069__a13b1b97953934e4784e4646dc710c453">Set this parameter based on the specific storage location.</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.5.2.1.2.4.2.4.1.3 "><p id="mrs_01_1069__a11e85db8d34b4deba630094b794e005e">${BIGDATA_HOME}/FusionInsight_Porter_<span id="mrs_01_1069__text177825382284">8.1.0.1</span>/install/FusionInsight-Flume-1.9.0/flume/conf/ms_sChat.jks</p>
+</td>
+</tr>
+<tr id="mrs_01_1069__re77e564cea804a14a3b10dba315323dc"><td class="cellrowborder" valign="top" width="22.447755224477554%" headers="mcps1.3.3.2.5.2.1.2.4.2.4.1.1 "><p id="mrs_01_1069__a66b755306d804c6b970eee992a2c1abf">ssl_server_trust_key_store</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.5.2.1.2.4.2.4.1.2 "><p id="mrs_01_1069__a8ac55c8e6b5a4b16a5a831ed1fa61f7a">Set this parameter based on the specific storage location.</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.5.2.1.2.4.2.4.1.3 "><p id="mrs_01_1069__ab9ccc7f1a4824d2d8ba07ee50854debf">${BIGDATA_HOME}/FusionInsight_Porter_<span id="mrs_01_1069__text206981449286">8.1.0.1</span>/install/FusionInsight-Flume-1.9.0/flume/conf/ms_sChatt.jks</p>
+</td>
+</tr>
+<tr id="mrs_01_1069__rd2c61339102c4333a8b0e5295d546ea9"><td class="cellrowborder" valign="top" width="22.447755224477554%" headers="mcps1.3.3.2.5.2.1.2.4.2.4.1.1 "><p id="mrs_01_1069__ab10e5897ebca470a9eb199bc6ecd09ad">ssl_server_key_store_password</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.5.2.1.2.4.2.4.1.2 "><p id="mrs_01_1069__aa8fff3cc5e7f42f39a851a62c689f354">Indicates the client certificate password. Set this parameter based on the actual situation of certificate creation (the plaintext key used to generate the certificate).</p>
+<p id="mrs_01_1069__a27c3a245f1f74ca193fc121de390cbf5">Enter the value of password obtained in <a href="#mrs_01_1069__l7cc74e0469cb45f4aba9974f2846c1e0">5.a</a>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.5.2.1.2.4.2.4.1.3 "><p id="mrs_01_1069__a0dfddbf014e943fd94e0551d3c9d87be">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1069__rd33f433ce6b44da68ba8ee678293cb94"><td class="cellrowborder" valign="top" width="22.447755224477554%" headers="mcps1.3.3.2.5.2.1.2.4.2.4.1.1 "><p id="mrs_01_1069__a32ed1396efbb4d29ac44d87c58c18487">ssl_server_trust_key_store_password</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.5.2.1.2.4.2.4.1.2 "><p id="mrs_01_1069__a46d82eb51eaf46a781cbb4b04b7aee96">Specifies the trustkeystore password. Set this parameter based on the actual situation of certificate creation (the plaintext key used to generate the trust list).</p>
+<p id="mrs_01_1069__a46d53a4ea6a54ba6a0de935ffd14a321">Enter the value of password obtained in <a href="#mrs_01_1069__l7cc74e0469cb45f4aba9974f2846c1e0">5.a</a>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.5.2.1.2.4.2.4.1.3 "><p id="mrs_01_1069__aa46c4c8880b84db29b93bf05590d279b">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1069__r08ba3fbab0b24a8089ad877aad1f0662"><td class="cellrowborder" valign="top" width="22.447755224477554%" headers="mcps1.3.3.2.5.2.1.2.4.2.4.1.1 "><p id="mrs_01_1069__a4aab55d7f927499f8f60b09982e34482">ssl_need_client_auth</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.5.2.1.2.4.2.4.1.2 "><p id="mrs_01_1069__a8f2a43748d5c47108a2b451bfd6142b0">Indicates whether to enable the client authentication. (You are advised to enable this function to ensure security.)</p>
+<ul id="mrs_01_1069__u4aa220995a954695b287f004e70c97a1"><li id="mrs_01_1069__l6471e12dd1d4453ca2b07880ded5615f"><strong id="mrs_01_1069__b259909506103556">true</strong> indicates that the function is enabled.</li><li id="mrs_01_1069__l7103c932436b4c4d9c2f6a3410f83a26"><strong id="mrs_01_1069__b232764495103556">false</strong> indicates that the client authentication function is not enabled.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.5.2.1.2.4.2.4.1.3 "><p id="mrs_01_1069__ad5540b9c337c4da69c929d62c50ce948">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1069__l129ef62250644584947506c4ed5e9b3b">Restart the MonitorServer instance. Choose <strong id="mrs_01_1069__b729927048103556">Services</strong> &gt; <strong id="mrs_01_1069__b1732286806103556">Flume</strong> &gt; <strong id="mrs_01_1069__b1514376189103556">Instance</strong> &gt; <strong id="mrs_01_1069__b1768124416461">MonitorServer</strong>, select the MonitorServer instance, and choose <strong id="mrs_01_1069__b201075783103556">More</strong> &gt; <strong id="mrs_01_1069__b783572285103556">Restart Instance</strong>. Enter the <span id="mrs_01_1069__ph146881194192">system </span>administrator password and click <strong id="mrs_01_1069__b1329492162103556">OK</strong>. After the restart is complete, click <strong id="mrs_01_1069__b1550454215103556">Finish</strong>.</li></ol>
+</p></li><li id="mrs_01_1069__l6e98885fb36a4aa988f2545e1a5be7fd"><span>Set the client parameters of the MonitorServer role.</span><p><ol type="a" id="mrs_01_1069__o095b24c6aca246c0bd06d3ae414ab76c"><li id="mrs_01_1069__lda633589c24c4402b87b036682fe95e9">Run the following commands to copy the generated client certificate (<strong id="mrs_01_1069__b15440152420474">ms_cChat.jks</strong>) and client trust list (<strong id="mrs_01_1069__b1544614249472">ms_cChatt.jks</strong>) to the <strong id="mrs_01_1069__b644792434712">/opt/flume-client/fusionInsight-flume-1.9.0/conf/</strong> client directory. <strong id="mrs_01_1069__b194489243471">10.196.26.1</strong> is the service plane IP address of the node where the client resides.<p class="litext" id="mrs_01_1069__a1a7b00aa24c74e27938d10377203e3a9"><strong id="mrs_01_1069__b16716206144637">scp ${BIGDATA_HOME}/FusionInsight_Porter_</strong><strong id="mrs_01_1069__b13689204419511"><span id="mrs_01_1069__text8839915298">8.1.0.1</span></strong><strong id="mrs_01_1069__b16228129144637">/install/FusionInsight-Flume-1.9.0/flume/conf/ms_cChat.jks user@10.196.26.1:/opt/flume-client/fusionInsight-flume-1.9.0/conf/</strong></p>
+<p class="litext" id="mrs_01_1069__a97b9c228f9844f00ae56806be085e5b9"><strong id="mrs_01_1069__b20358547144653">scp ${BIGDATA_HOME}/FusionInsight_Porter_</strong><strong id="mrs_01_1069__b20670548654"><span id="mrs_01_1069__text13931717112915">8.1.0.1</span></strong><strong id="mrs_01_1069__b49009196144653">/install/FusionInsight-Flume-1.9.0/flume/conf/ms_cChatt.jks user@10.196.26.1:/opt/flume-client/fusionInsight-flume-1.9.0/conf/</strong></p>
+</li><li id="mrs_01_1069__l749fdf802e744a4198cdc8de6a478208">Log in to the node where the Flume client is located as <strong id="mrs_01_1069__abefa88ec7f704d378a584acbb6fef2c5">user</strong>. Run the following command to go to the client directory <strong id="mrs_01_1069__b3613123513515">/opt/flume-client/fusionInsight-flume-1.9.0/bin</strong>.<p class="litext" id="mrs_01_1069__a5552e944169843a599dfb82af13e9a9a"><strong id="mrs_01_1069__aa2aa752a17534e31b4909313513f3c7a">cd </strong><strong id="mrs_01_1069__b74011322133619">/opt/flume-client/fusionInsight-flume-1.9.0/bin</strong></p>
+</li><li id="mrs_01_1069__l252c5a768cc34fcca9cfaa5a90dfe8c0"><a name="mrs_01_1069__l252c5a768cc34fcca9cfaa5a90dfe8c0"></a><a name="l252c5a768cc34fcca9cfaa5a90dfe8c0"></a>Run the following command to generate and obtain MonitorServer client keystore password, trust list password, and keystore-password encrypted private key information. Enter the password twice and confirm the password. The password is the same as the password of the certificate whose alias is <em id="mrs_01_1069__i2067359312103556">mschatclient</em> and the password of the <em id="mrs_01_1069__i2077197660103556">ms_cChat.jks</em> certificate library.<p class="litext" id="mrs_01_1069__a401d5a33f792483aa484d77f5f991567"><strong id="mrs_01_1069__ad2964155e2d546259601ec2003cdd5d5">./genPwFile.sh</strong></p>
+<p class="litext" id="mrs_01_1069__a692176a947104c03ba1b442d74f7f318"><strong id="mrs_01_1069__aeb386a6e69534dc593f7735241a482cc">cat password.property</strong></p>
+</li><li id="mrs_01_1069__l62645a8c92964e2ba44c751c78044178">Run the following command to open the <strong id="mrs_01_1069__b7846141985211">/opt/flume-client/fusionInsight-flume-1.9.0/conf/service/application.properties</strong> file. (<strong id="mrs_01_1069__b13252193416523">/opt/flume-client/fusionInsight-flume-1.9.0</strong> is the directory where the client software is installed.) Modify related parameters based on the description in <a href="#mrs_01_1069__tea1b721973a843b7891ab85f51d2f2e6">Table 4</a>, save the modification, and exit.<p id="mrs_01_1069__a4516e2d85b4342f1adc3a10f26f1bf11"><strong id="mrs_01_1069__a01cd9c7247ac4185bb997b62863e35d6">vi </strong><strong id="mrs_01_1069__a3780ebd04915410d8a5da1dedb4fc509">/opt/flume-client/fusionInsight-flume-1.9.0/flume/conf/service/application.properties</strong></p>
+
+<div class="tablenoborder"><a name="mrs_01_1069__tea1b721973a843b7891ab85f51d2f2e6"></a><a name="tea1b721973a843b7891ab85f51d2f2e6"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1069__tea1b721973a843b7891ab85f51d2f2e6" frame="border" border="1" rules="all"><caption><b>Table 4 </b>Parameters to be modified of the MonitorServer role client</caption><thead align="left"><tr id="mrs_01_1069__rba3ca99e3bb142b7961b9d22265c698b"><th align="left" class="cellrowborder" valign="top" width="22.447755224477554%" id="mcps1.3.3.2.6.2.1.4.5.2.4.1.1"><p id="mrs_01_1069__a3790be6b642e49049718b7ba88888070">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="38.77612238776123%" id="mcps1.3.3.2.6.2.1.4.5.2.4.1.2"><p id="mrs_01_1069__a9cfd0b9b7fbf4f3b84378e3c18f38b0b">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="38.77612238776123%" id="mcps1.3.3.2.6.2.1.4.5.2.4.1.3"><p id="mrs_01_1069__ac929cfbd3bda49bab870d42a009f1b47">Example Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1069__rf46bd4c742f94b30963a642ae651b5cd"><td class="cellrowborder" valign="top" width="22.447755224477554%" headers="mcps1.3.3.2.6.2.1.4.5.2.4.1.1 "><p id="mrs_01_1069__a10116168ee4d47c78b05762092394ed8">ssl_need_kspasswd_decrypt_key</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.6.2.1.4.5.2.4.1.2 "><p id="mrs_01_1069__a0f9639b67ac645cd97f743bb63a5e9b3">Indicates whether to enable the user-defined key encryption and decryption function. (You are advised to enable this function to ensure security.)</p>
+<ul id="mrs_01_1069__ucb2f9ce442d1468da950b7bff2f671d8"><li id="mrs_01_1069__l3124f437f8ad464ab741e352635eb4a2"><strong id="mrs_01_1069__b2139562938103556">true</strong> indicates that the function is enabled.</li><li id="mrs_01_1069__lbb1424ae729b485bb1b042614efd97ad"><strong id="mrs_01_1069__b524115293103556">false</strong> indicates that the client authentication function is not enabled.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.6.2.1.4.5.2.4.1.3 "><p id="mrs_01_1069__a9248a2d4d87a4360b81415d219c88930">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1069__rd674ef3578a246e78190e9cf20d8ecb5"><td class="cellrowborder" valign="top" width="22.447755224477554%" headers="mcps1.3.3.2.6.2.1.4.5.2.4.1.1 "><p id="mrs_01_1069__a7f965c738f094a9d9a3e9069e9330116">ssl_client_enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.6.2.1.4.5.2.4.1.2 "><p id="mrs_01_1069__afef1fdbf5c48415aa3149e72bdbeefeb">Indicates whether to enable the SSL authentication. (You are advised to enable this function to ensure security.)</p>
+<ul id="mrs_01_1069__u610ebfb7490447ecba90600524fef33e"><li id="mrs_01_1069__l9ded1b23d8844e618acc9aa0a1f7c436"><strong id="mrs_01_1069__b405784272103556">true</strong> indicates that the function is enabled.</li><li id="mrs_01_1069__l96e77c1806e64497afcaf3f1a6e34b28"><strong id="mrs_01_1069__b892657043103556">false</strong> indicates that the client authentication function is not enabled.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.6.2.1.4.5.2.4.1.3 "><p id="mrs_01_1069__a71fbad1e5aa6478fa371930f4436bcf9">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1069__r2610e005ca31419e84fd0830bf39431f"><td class="cellrowborder" valign="top" width="22.447755224477554%" headers="mcps1.3.3.2.6.2.1.4.5.2.4.1.1 "><p id="mrs_01_1069__a7fa269bb9e25499aa1f75ec3e8f0634a">ssl_client_key_store</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.6.2.1.4.5.2.4.1.2 "><p id="mrs_01_1069__a2c7eb3ad3ae14c0bbfd42d3a9075243e">Set this parameter based on the specific storage location.</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.6.2.1.4.5.2.4.1.3 "><p id="mrs_01_1069__a09aaf5c50a7d4c23840a3eca0a3a98ee">${BIGDATA_HOME}/FusionInsight_Porter_<span id="mrs_01_1069__text10570152942914">8.1.0.1</span>/install/FusionInsight-Flume-1.9.0/flume/conf/ms_cChat.jks</p>
+</td>
+</tr>
+<tr id="mrs_01_1069__r6eaddefbace24059bb8fd59cf67ce448"><td class="cellrowborder" valign="top" width="22.447755224477554%" headers="mcps1.3.3.2.6.2.1.4.5.2.4.1.1 "><p id="mrs_01_1069__aa631404f128d48eda40ed6a901d6da84">ssl_client_trust_key_store</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.6.2.1.4.5.2.4.1.2 "><p id="mrs_01_1069__aeb830a2208f74088b885c96406253a92">Set this parameter based on the specific storage location.</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.6.2.1.4.5.2.4.1.3 "><p id="mrs_01_1069__a49417ed0f44848fbafb6946706751407">${BIGDATA_HOME}/FusionInsight_Porter_<span id="mrs_01_1069__text849116383293">8.1.0.1</span>/install/FusionInsight-Flume-1.9.0/flume/conf/ms_cChatt.jks</p>
+</td>
+</tr>
+<tr id="mrs_01_1069__r5609ae0df8164631b53c8e2131d7524f"><td class="cellrowborder" valign="top" width="22.447755224477554%" headers="mcps1.3.3.2.6.2.1.4.5.2.4.1.1 "><p id="mrs_01_1069__a7c85e64acb1542a6b2eb440f94fc70ba">ssl_client_key_store_password</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.6.2.1.4.5.2.4.1.2 "><p id="mrs_01_1069__a33ee637b14fa4130aa69a9c02603d7d5">Specifies the keystore password. Set this parameter based on the actual situation of certificate creation (the plaintext key used to generate the certificate).</p>
+<p id="mrs_01_1069__a147ffe9b4bf84e8ea90d6ab84084af55">Enter the value of <strong id="mrs_01_1069__b17873113154811">password</strong> obtained in <a href="#mrs_01_1069__l252c5a768cc34fcca9cfaa5a90dfe8c0">6.c</a>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.6.2.1.4.5.2.4.1.3 "><p id="mrs_01_1069__af3b302cf9e5f417e8936b655475e3596">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1069__r730dfa9a43a34631ada4e9464c62ddb2"><td class="cellrowborder" valign="top" width="22.447755224477554%" headers="mcps1.3.3.2.6.2.1.4.5.2.4.1.1 "><p id="mrs_01_1069__aa06dcef02a104b2da4cc9a70f14b3460">ssl_client_trust_key_store_password</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.6.2.1.4.5.2.4.1.2 "><p id="mrs_01_1069__a82d92a3deed140f695f727c70ab6c460">Specifies the trustkeystore password. Set this parameter based on the actual situation of certificate creation (the plaintext key used to generate the trust list).</p>
+<p id="mrs_01_1069__a0c6dfa72c3504bea815eecd139b766c3">Enter the value of <strong id="mrs_01_1069__b2046543534814">password</strong> obtained in <a href="#mrs_01_1069__l252c5a768cc34fcca9cfaa5a90dfe8c0">6.c</a>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.6.2.1.4.5.2.4.1.3 "><p id="mrs_01_1069__abce6a828ef904adebf624ec7977d60cd">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1069__r4a197963ea4b40fe9f930ec72abcd36d"><td class="cellrowborder" valign="top" width="22.447755224477554%" headers="mcps1.3.3.2.6.2.1.4.5.2.4.1.1 "><p id="mrs_01_1069__a19e118461ea54adf8882ea4d3632587e">ssl_need_client_auth</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.6.2.1.4.5.2.4.1.2 "><p id="mrs_01_1069__ac35e83402626436c89532f444d56137d">Indicates whether to enable the client authentication. (You are advised to enable this function to ensure security.)</p>
+<ul id="mrs_01_1069__u2b05eef86a564286aeff78202a75f3db"><li id="mrs_01_1069__l57426a8ee032473d9edbd696453104d5"><strong id="mrs_01_1069__b1122482535103556">true</strong> indicates that the function is enabled.</li><li id="mrs_01_1069__l573bdec7ca874ab580b5d66ab0153a07"><strong id="mrs_01_1069__b1698027304103556">false</strong> indicates that the client authentication function is not enabled.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.6.2.1.4.5.2.4.1.3 "><p id="mrs_01_1069__ae08145a7b1904890b8fcc93fa891e0d2">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ol>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1068.html">Encrypted Transmission</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1070"></a><a name="mrs_01_1070"></a>
+
+<h1 class="topictitle1">Typical Scenario: Collecting Local Static Logs and Uploading Them to HDFS</h1>
+<div id="body1590374670670"><div class="section" id="mrs_01_1070__s63837e0d53604779abc044799e37cd14"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1070__ab511400a28cb40e2a18e7f020b3ee31d">This section describes how to use Flume to collect static logs from a local host and save them to the <span class="filepath" id="mrs_01_1070__filepath181311316115118"><b>/flume/test</b></span> directory on HDFS.</p>
+<p id="mrs_01_1070__p19745357145219">This section applies to MRS 3.<em id="mrs_01_1070__i20891378568">x</em> or later clusters.</p>
+</div>
+<div class="section" id="mrs_01_1070__s3ba120c845504c72ba30e7f4e776d1cf"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1070__u50036eb082a546468c835cd54a786f31"><li id="mrs_01_1070__l103aca486d44440aad7c2592058762ce">The cluster, HDFS and Flume services, and Flume client have been installed.</li><li id="mrs_01_1070__l556f214d7ba24c9fa9365b2f60ea3af2">User <strong id="mrs_01_1070__a46d134db289548b88147f3c1dd18a89b">flume_hdfs</strong> has been created, and the HDFS directory and data used for log verification have been authorized to the user.</li></ul>
+</div>
+<div class="section" id="mrs_01_1070__s12ceb7b28cd146eea6c543d8e6390ddc"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1070__o1a2ac8ea01fd4293b287171bf924bcb7"><li id="mrs_01_1070__l83561ee811fd4abfa36d97ef09f7496e"><span>Generate the certificate trust lists of the server and client of the Flume role respectively.</span><p><ol type="a" id="mrs_01_1070__o00f39ab0e1664fb2bef2d7114a9e671c"><li id="mrs_01_1070__ld9e763f97ea143a6bca401d5e7e6cbe8">Log in to the node where the Flume server is located as user <strong id="mrs_01_1070__a597cadffc14e4a0892bd542c8a4692a4">omm</strong>. Go to the <strong id="mrs_01_1070__b988350040104951">${BIGDATA_HOME}/FusionInsight_Porter_<span id="mrs_01_1070__text2070459640104951">8.1.0.1</span>/install/FusionInsight-Flume-1.9.0/flume/bin</strong> directory.<p class="litext" id="mrs_01_1070__a7626c8f5378a480a88a575dd8f6c66fa"><strong id="mrs_01_1070__b5910915214534">cd ${BIGDATA_HOME}/FusionInsight_Porter_</strong><strong id="mrs_01_1070__b274162114614"><span id="mrs_01_1070__text21372265301">8.1.0.1</span></strong><strong id="mrs_01_1070__b6222032714534">/install/FusionInsight-Flume-1.9.0/flume/bin</strong></p>
+</li><li id="mrs_01_1070__l05708c139ecf4019b9273b04ed7302c5">Run the following command to generate and export the server and client certificates of the Flume role:<p id="mrs_01_1070__a4170d0e0c13441f6ab321221d4d74b70"><a name="mrs_01_1070__l05708c139ecf4019b9273b04ed7302c5"></a><a name="l05708c139ecf4019b9273b04ed7302c5"></a><strong id="mrs_01_1070__b1758382615413">sh geneJKS.sh -f </strong><em id="mrs_01_1070__i1585142611543">Password</em><strong id="mrs_01_1070__b6592144010549"> -g </strong><em id="mrs_01_1070__i159494020543">Password</em></p>
+<p id="mrs_01_1070__a71a4acd8f1b9491ca367ba04310218fe">The generated certificate is saved in the <strong id="mrs_01_1070__b1635663672104951">${BIGDATA_HOME}/FusionInsight_Porter_<span id="mrs_01_1070__text1633720399304">8.1.0.1</span>/install/FusionInsight-Flume-1.9.0/flume/conf</strong> path .</p>
+<ul id="mrs_01_1070__ucb4c250beab64a379fc41d23cde87fde"><li id="mrs_01_1070__l0dd9e3ab0c6c4b23b57b1b5b9e91f67f"><strong id="mrs_01_1070__b785241608104951">flume_sChat.jks</strong> is the certificate library of the Flume role server. <strong id="mrs_01_1070__b531817215104951">flume_sChat.crt</strong> is the exported file of the <strong id="mrs_01_1070__b1627946617104951">flume_sChat.jks</strong> certificate. <strong id="mrs_01_1070__b766196190104951">-f</strong> indicates the password of the certificate and certificate library.</li><li id="mrs_01_1070__l5101bde602e849fc925132e4bb7baf21"><strong id="mrs_01_1070__b1208263910104951">flume_cChat.jks</strong> is the certificate library of the Flume role client. <strong id="mrs_01_1070__b561601091104951">flume_cChat.crt</strong> is the exported file of the <strong id="mrs_01_1070__b161735276104951">flume_cChat.jks</strong> certificate. <strong id="mrs_01_1070__b1512281083104951">-g</strong> indicates the password of the certificate and certificate library.</li><li id="mrs_01_1070__l8facc0e950d24ea6a0aee1b57032a98d"><strong id="mrs_01_1070__b1580316623104951">flume_sChatt.jks</strong> and <strong id="mrs_01_1070__b940441738104951">flume_cChatt.jks</strong> are the SSL certificate trust lists of the Flume server and client, respectively.</li></ul>
+<div class="note" id="mrs_01_1070__n6a637ad04c984c9d9eafc68a9f79b835"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1070__p143613814388">All user-defined passwords involved in this section must meet the following requirements:</p>
+<ul id="mrs_01_1070__u38ae135c213a40398fe2aa0c75cda2e7"><li id="mrs_01_1070__l2c306cb638b14e59ae26b9d31b0cb0b6">Contain at least four types of the following: uppercase letters, lowercase letters, digits, and special characters.</li><li id="mrs_01_1070__le3ba4aec0a93485c98dfbb1d8acafc76">Contain at least eight characters and a maximum of 64 characters.</li><li id="mrs_01_1070__lfdd03f0ab2c6463482cc41685862df9a">It is recommended that the user-defined passwords be changed periodically (for example, every three months), and certificates and trust lists be generated again to ensure security.</li></ul>
+</div></div>
+</li></ol>
+</p></li><li id="mrs_01_1070__lca080467707b449c9a038280ad94e35a"><span>On FusionInsight Manager, choose <span class="menucascade" id="mrs_01_1070__menucascade1899812533104952"><b><span class="uicontrol" id="mrs_01_1070__uicontrol1094336722104952">System &gt; User</span></b></span> and choose <span class="menucascade" id="mrs_01_1070__menucascade1340641587104952"><b><span class="uicontrol" id="mrs_01_1070__uicontrol2054014999104952">More &gt; Download Authentication Credential</span></b></span> to download the Kerberos certificate file of user <strong id="mrs_01_1070__b1836265617104952">flume_hdfs</strong> and save it to the local host.</span></li><li id="mrs_01_1070__la4d7a7788ffa45648ad511339d0b3113"><span>Configure the server parameters of the Flume role and upload the configuration file to the cluster.</span><p><ol type="a" id="mrs_01_1070__odfe73296f8cf415592b3e5acae052bd3"><li id="mrs_01_1070__lf0e7614622d14ddcaf63501cd20f73e2">Log in to any node where the Flume role is located as user <strong id="mrs_01_1070__a44287c9b77c94d288e60185d24824ae9">omm</strong>. Run the following command to go to the ${BIGDATA_HOME}/FusionInsight_Porter_<span id="mrs_01_1070__text188011847103013">8.1.0.1</span>/install/FusionInsight-Flume-1.9.0/flume/bin directory:<p class="litext" id="mrs_01_1070__a8758b6bb2511436580005638606da434"><strong id="mrs_01_1070__b46603468145431">cd ${BIGDATA_HOME}/FusionInsight_Porter_</strong><strong id="mrs_01_1070__b13386138477"><span id="mrs_01_1070__text17623557143019">8.1.0.1</span></strong><strong id="mrs_01_1070__b16778036145431">/install/FusionInsight-Flume-1.9.0/flume/bin</strong></p>
+</li><li id="mrs_01_1070__lf43fc3e7d9364ddb9e475908dc382fc9"><a name="mrs_01_1070__lf43fc3e7d9364ddb9e475908dc382fc9"></a><a name="lf43fc3e7d9364ddb9e475908dc382fc9"></a>Run the following command to generate and obtain Flume server keystore password, trust list password, and keystore-password encrypted private key information. Enter the password twice and confirm the password. It is the password of the <strong id="mrs_01_1070__b1574783214549">flume_sChat.jks</strong> certificate library.<p class="litext" id="mrs_01_1070__a0f09e07f4b3e4d26b6d27145a205f57b"><strong id="mrs_01_1070__af7ea78ea6d6b43bebd06f17d7f9b9cc7">./genPwFile.sh</strong></p>
+<p class="litext" id="mrs_01_1070__a49e0d7494bb54d1898e40a3ba0bcfcbe"><strong id="mrs_01_1070__a6f8a62a3b3cb4a808e581fbfcd1e666e">cat password.property</strong></p>
+</li><li id="mrs_01_1070__l24027020a88b4d629db99127218a9491">Use the Flume configuration tool on the FusionInsight Manager portal to configure the server parameters and generate the configuration file.<ol class="substepthirdol" id="mrs_01_1070__of5ab587718ff4266a75101e7aa787722"><li id="mrs_01_1070__lf460e069ca6c4dec94978b695408fda9">Log in to FusionInsight Manager and choose <strong id="mrs_01_1070__b1164124182104952">Cluster</strong> &gt; <em id="mrs_01_1070__i990046449104952">Name of the desired cluster</em> &gt; <strong id="mrs_01_1070__b510931232104952">Services</strong> &gt; <strong id="mrs_01_1070__b1096450158104952">Flume</strong> &gt; <strong id="mrs_01_1070__b501578691104952">Configuration Tool</strong>.</li><li id="mrs_01_1070__lcae18c7361f24f2683b26142f90ccd76">Set <strong id="mrs_01_1070__b878980162104952">Agent Name</strong> to <strong id="mrs_01_1070__b792570175104952">server</strong>. Select the source, channel, and sink to be used, drag them to the GUI on the right, and connect them.<p id="mrs_01_1070__a0265a66da3db445b93844f745ba92937">For example, use SpoolDir Source, File Channel, and HDFS Sink.</p>
+</li><li id="mrs_01_1070__ld82d2fef38be4871883b2bbe613af12f">Double-click the source, channel, and sink. Set corresponding configuration parameters by seeing <a href="#mrs_01_1070__t90702710f4c74f1ea2a89064a9507879">Table 1</a> based on the actual environment.<div class="note" id="mrs_01_1070__n8ed400ad4af048bcadf0344efcf57537"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1070__ucecad4cb71794eb98c13fbc470758299"><li id="mrs_01_1070__lc7ef65e51daa4c1d8f63dd9057d0c179">If the server parameters of the Flume role have been configured, you can choose <strong id="mrs_01_1070__b15412052823">Cluster</strong> &gt; <em id="mrs_01_1070__i441725214211">Name of the desired cluster</em> &gt; <strong id="mrs_01_1070__b3418105218212">Services</strong> &gt; <strong id="mrs_01_1070__b7418135219210">Flume</strong> &gt; <strong id="mrs_01_1070__b114186524210">Instance</strong> on FusionInsight Manager. Then select the corresponding Flume role instance and click the <strong id="mrs_01_1070__b17419165217213">Download</strong> button behind the <span class="parmname" id="mrs_01_1070__parmname341919521427"><b>flume.config.file</b></span> parameter on the <strong id="mrs_01_1070__b2041913521922">Instance Configurations</strong> page to obtain the existing server parameter configuration file. Choose <strong id="mrs_01_1070__b1045953305104952">Cluster</strong> &gt; <em id="mrs_01_1070__i702503371104952">Name of the desired cluster</em> &gt; <strong id="mrs_01_1070__b111311495104952">Services</strong> &gt; <strong id="mrs_01_1070__b1069526376104952">Flume</strong> &gt; <strong id="mrs_01_1070__b1051793077104952">Configuration Tool</strong> &gt; <strong id="mrs_01_1070__b1836257705104952">Import</strong>, import the file, and modify the configuration items related to encrypted transmission.</li><li id="mrs_01_1070__l23ce9e15935244b2a6f7c1e01a853961">It is recommended that the numbers of Sources, Channels, and Sinks do not exceed 40 during configuration file import. Otherwise, the response time may be very long.</li><li id="mrs_01_1070__lb5fb23d31fcd4b0ab6affa5e1b4afab5">A unique checkpoint directory needs to be configured for each File Channel.</li></ul>
+</div></div>
+</li><li id="mrs_01_1070__l22e65a4a2681414692d4c1fdf1ec3021">Click <strong id="mrs_01_1070__b293674249104952">Export</strong> to save the <strong id="mrs_01_1070__b1933901249104952">properties.properties</strong> configuration file to the local.
+<div class="tablenoborder"><a name="mrs_01_1070__t90702710f4c74f1ea2a89064a9507879"></a><a name="t90702710f4c74f1ea2a89064a9507879"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1070__t90702710f4c74f1ea2a89064a9507879" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters to be modified of the Flume role server</caption><thead align="left"><tr id="mrs_01_1070__rbec5666027594644b0e026d0dd3e42bc"><th align="left" class="cellrowborder" valign="top" width="23.232323232323232%" id="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.1"><p id="mrs_01_1070__a03643503c1624f7b9051d053605bf65e">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="45.45454545454545%" id="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.2"><p id="mrs_01_1070__a82395e0e53694244b935bc8e780c1f20">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="31.313131313131308%" id="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.3"><p id="mrs_01_1070__a986c741cb330449998f974e639d443d9">Example Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1070__r0444bbec47a04a6bb3b7d2e96aac6861"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.1 "><p id="mrs_01_1070__a27785445600940a7b890bb44a6a5bc45">Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.2 "><p id="mrs_01_1070__ad7bf239b45a548fab6d47aa078335863">The value must be unique and cannot be left blank.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.3 "><p id="mrs_01_1070__a90f111512a6349a3be995b5a5e18253a">test</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__ra4405a10590243c8ab77761a7f26c9ea"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.1 "><p id="mrs_01_1070__a315127f3442040d396fcd6132d4a7f23">bind</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.2 "><p id="mrs_01_1070__a46fb734df635475ea86a693cadd35554">Specifies the IP address to which Avro Source is bound. This parameter cannot be left blank. It must be configured as the IP address that the server configuration file will upload.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.3 "><p id="mrs_01_1070__ae06e2bb191fb436f8cdafa097f76b079">192.168.108.11</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__r0b01b4a178e44cceaf74f2beebd00828"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.1 "><p id="mrs_01_1070__a974e464734414500a54d92b7fd6f0b08">port</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.2 "><p id="mrs_01_1070__en-us_topic_0060839710_p480995094046">Specifies the IP address to which Avro Source is bound. This parameter cannot be left blank. It must be configured as an unused port.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.3 "><p id="mrs_01_1070__af953959e3ce24f9da2df791536e6a5d1">21154</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__ref74df2737f04b52be0a774d2d69aa61"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.1 "><p id="mrs_01_1070__a2ace248be08c44b0967993943a867776">ssl</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.2 "><p id="mrs_01_1070__ac9369e95b8e74ed2a82667cc1bc8b9c0">Indicates whether to enable the SSL authentication. (You are advised to enable this function to ensure security.)</p>
+<p id="mrs_01_1070__ab5c9cc6bfd524a50b7d04ead87f7e33f">Only Sources of the Avro type have this configuration item.</p>
+<ul id="mrs_01_1070__u1af6060595d54d8291a74a31318f1676"><li id="mrs_01_1070__l7f80b1248faa467a893d01eb89949fab"><strong id="mrs_01_1070__b1129724386104952">true</strong> indicates that the function is enabled.</li><li id="mrs_01_1070__l674721b6eda94688b6f6949d97d064ae"><strong id="mrs_01_1070__b1236310780104952">false</strong> indicates that the client authentication function is not enabled.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.3 "><p id="mrs_01_1070__en-us_topic_0060839710_p931667094046">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__rad7b6eda06844d49862fdfbe6f023d7a"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.1 "><p id="mrs_01_1070__a803e88fa3df748b2bad22fe01ed8910e">keystore</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.2 "><p id="mrs_01_1070__a039156d97a784e9f91beb89f736292c4">Indicates the server certificate.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.3 "><p id="mrs_01_1070__en-us_topic_0060839710_p857749495638">${BIGDATA_HOME}/FusionInsight_Porter_<span id="mrs_01_1070__text07235611312">8.1.0.1</span>/install/FusionInsight-Flume-1.9.0/flume/conf/flume_sChat.jks</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__rf88135c58d7d42648793a9b683a9eed1"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.1 "><p id="mrs_01_1070__ae293f7b8b0574edfb8300ca8a9436986">keystore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.2 "><p id="mrs_01_1070__a2706b298df3c4168b99c847008d31c38">Specifies the password of the key library, which is the password required to obtain the keystore information.</p>
+<p id="mrs_01_1070__ae0dca6b202a7497ca3c793c9c00f7cff">Enter the value of <strong id="mrs_01_1070__b17172171218314">password</strong> obtained in <a href="#mrs_01_1070__lf43fc3e7d9364ddb9e475908dc382fc9">3.b</a>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.3 "><p id="mrs_01_1070__ac79ed2a7f6e04d9997e864da3dbe9fd5">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__r05b18526050445108467c4e27d948219"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.1 "><p id="mrs_01_1070__ab93ddd8ba4f34852902c10df13dbe878">truststore</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.2 "><p id="mrs_01_1070__a15b1bf7d5a33483d9f75f8a0adda258a">Indicates the SSL certificate trust list of the server.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.3 "><p id="mrs_01_1070__a588edc5affb248d18753e9685aa404f6">${BIGDATA_HOME}/FusionInsight_Porter_<span id="mrs_01_1070__text1010314157314">8.1.0.1</span>/install/FusionInsight-Flume-1.9.0/flume/conf/flume_sChatt.jks</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__r5ff1d3ecfe9f481ebdb47bd8a7c0addc"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.1 "><p id="mrs_01_1070__ad551236699e641d2a799a7cf921d2f0f">truststore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.2 "><p id="mrs_01_1070__a66085966187546eb849479fd9d3cb465">Specifies the trust list password, which is the password required to obtain the truststore information.</p>
+<p id="mrs_01_1070__a63667d0cf91340dcaea8d56b8c825069">Enter the value of <strong id="mrs_01_1070__b931612158320">password</strong> obtained in <a href="#mrs_01_1070__lf43fc3e7d9364ddb9e475908dc382fc9">3.b</a>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.3 "><p id="mrs_01_1070__a605fa1b8c56d471082a0a72d1ede0916">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__r79609bfef5a84543a70304911f757a7c"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.1 "><p id="mrs_01_1070__a3f3f610f3edb45a5bc20997c1e9b183e">dataDirs</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.2 "><p id="mrs_01_1070__a95d4466118d4438eb1088179015d1fa3">Specifies the directory for storing buffer data. The run directory is used by default. Configuring multiple directories on disks can improve transmission efficiency. Use commas (,) to separate multiple directories. If the directory is inside the cluster, the <strong id="mrs_01_1070__b229296064104952">/srv/BigData/hadoop/dataX/flume/data</strong> directory can be used. <strong id="mrs_01_1070__b487884345104952">dataX</strong> ranges from data1 to dataN. If the directory is outside the cluster, it needs to be independently planned.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.3 "><p id="mrs_01_1070__a6cc522124cd04ce9816c2a2c7fcdb12a">/srv/BigData/hadoop/data1/flumeserver/data</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__r83ee2f2c314447d0b839a3316f4b4f07"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.1 "><p id="mrs_01_1070__afe3e8fc1fa0a49a2a9786de789c1a18d">checkpointDir</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.2 "><p id="mrs_01_1070__a2fd38acd52644131af665e207b90249a">Specifies the directory for storing the checkpoint information, which is under the run directory by default. If the directory is inside the cluster, the <strong id="mrs_01_1070__b1574181203104952">/srv/BigData/hadoop/dataX/flume/checkpoint</strong> directory can be used. <strong id="mrs_01_1070__b2079906255104952">dataX</strong> ranges from data1 to dataN. If the directory is outside the cluster, it needs to be independently planned.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.3 "><p id="mrs_01_1070__a57182d3d08d4483f90677f9b74bc2869">/srv/BigData/hadoop/data1/flumeserver/checkpoint</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__r38c53a9c0358492e896e8121fa3723d8"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.1 "><p id="mrs_01_1070__en-us_topic_0060839710_p556837117935">transactionCapacity</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.2 "><p id="mrs_01_1070__abf1de5444a694a5996c0f58d2e440c83">Specifies the transaction size, that is, the number of events in a transaction that can be processed by the current Channel. The size cannot be smaller than the batchSize of Source. Setting the same size as batchSize is recommended.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.3 "><p id="mrs_01_1070__a37aa9fbbbc6742b6b9a912028d13d5f3">61200</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__rfa783464d1184afe9a1c5e794d5e7f76"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.1 "><p id="mrs_01_1070__a779c7a5d073e4697a17d943af1884902">hdfs.path</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.2 "><p id="mrs_01_1070__a3d9eca2b67ab4f879e45f9f89c151402">Specifies the HDFS data write directory. This parameter cannot be left blank.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.3 "><p id="mrs_01_1070__a75c0bde2e9fd4905a80cb0e15ecd5040">hdfs://hacluster/flume/test</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__ra5ee5238b5d84f909040e2d91672d2ab"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.1 "><p id="mrs_01_1070__en-us_topic_0060839710_p524966649487">hdfs.inUsePrefix</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.2 "><p id="mrs_01_1070__en-us_topic_0060839710_p243713979487">Specifies the prefix of the file that is being written to HDFS.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.3 "><p id="mrs_01_1070__en-us_topic_0060839710_p279261599487">TMP_</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__r442817d372de4aaab26b131c300b6670"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.1 "><p id="mrs_01_1070__a14cdf9f64a73430f9e6d0594ef367351">hdfs.batchSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.2 "><p id="mrs_01_1070__a609b0d1ed1c04eaf82642d17bc2ad611">Specifies the maximum number of events that can be written to HDFS once.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.3 "><p id="mrs_01_1070__acdc1b379150041378905e993b54fb7c8">61200</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__r1562e66f4e224625a82045d3286caec6"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.1 "><p id="mrs_01_1070__a3d333fadac5048d7aee0101115f8b9ef">hdfs.kerberosPrincipal</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.2 "><p id="mrs_01_1070__a5fcec07332b14bf7bb1a6e71ebb49221">Specifies the Kerberos authentication user, which is mandatory in security versions. This configuration is required only in security clusters.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.3 "><p id="mrs_01_1070__a8d746e16448245e6a26cc9e6a90b9886">flume_hdfs</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__r8f6ecc849e1f4b6ca4129f41316c6c2c"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.1 "><p id="mrs_01_1070__ace4482be79a94dd8b87f2f2cf4a081dd">hdfs.kerberosKeytab</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.2 "><p id="mrs_01_1070__a186efcff372a4df1b7ab5a9df2d318f0">Specifies the keytab file path for Kerberos authentication, which is mandatory in security versions. This configuration is required only in security clusters.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.3 "><p id="mrs_01_1070__a8f5e842fa6c64a12987bf5bcfd8113b4">/opt/test/conf/user.keytab</p>
+<div class="note" id="mrs_01_1070__nc6926a1d75834cbcbe55232423352a3e"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1070__a48dc66e4a319407d9682532b5cd856b7">Obtain the <strong id="mrs_01_1070__b1807478240104952">user.keytab</strong> file from the Kerberos certificate file of the user <strong id="mrs_01_1070__b352547569104952">flume_hdfs</strong>. In addition, ensure that the user who installs and runs the Flume client has the read and write permissions on the <strong id="mrs_01_1070__b1608049667104952">user.keytab</strong> file.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1070__re45efe9ce0e04456a8367098d16b9522"><td class="cellrowborder" valign="top" width="23.232323232323232%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.1 "><p id="mrs_01_1070__a896023d904ea4f8a9671ca2a092d7a8f">hdfs.useLocalTimeStamp</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.45454545454545%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.2 "><p id="mrs_01_1070__a0ac7d0c23a814e28bf8a99d85fe12f94">Specifies whether to use the local time. Possible values are <strong id="mrs_01_1070__b968003533104952">true</strong> and <strong id="mrs_01_1070__b1739716312104952">false</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="31.313131313131308%" headers="mcps1.3.3.2.3.2.1.3.1.4.3.2.4.1.3 "><p id="mrs_01_1070__a3c881fb89ccd43c3bd7985fe953dbd0d">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ol>
+</li><li id="mrs_01_1070__l356732ad8b794c4fba8784b9b4bcf144">Log in to FusionInsight Manager and choose <strong id="mrs_01_1070__b951453130104952">Cluster</strong> &gt; <em id="mrs_01_1070__i1090063146104952">Name of the desired cluster</em> &gt; <strong id="mrs_01_1070__b1949731304104952">Services</strong> &gt; <strong id="mrs_01_1070__b96750393104952">Flume</strong>. On the displayed page, click the <strong id="mrs_01_1070__b223643166104952">Flume</strong> role under <strong id="mrs_01_1070__b92044485104952">Role</strong>.</li><li id="mrs_01_1070__l3e9dc432a7dd41f3b8bd6871ea0aca24">Select the Flume role of the node where the configuration file is to be uploaded, choose <strong id="mrs_01_1070__b768572263104952">Instance Configurations</strong> &gt; <strong id="mrs_01_1070__b1666340232104952">Import</strong> beside the <span class="parmname" id="mrs_01_1070__parmname2036377222104952"><b>flume.config.file</b></span>, and select the <strong id="mrs_01_1070__b1296778312104952">properties.properties</strong> file.<div class="note" id="mrs_01_1070__nea8cee4324544e56a89bacadf451d751"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1070__u572f2ae78e1a46f7863ae67265f5a9e3"><li class="text" id="mrs_01_1070__l969f1588c47f473cad05307ff4c713d4">An independent server configuration file can be uploaded to each Flume instance.</li><li class="text" id="mrs_01_1070__l726f005782df4c248bf124e42a99a70b">This step is required for updating the configuration file. Modifying the configuration file on the background is an improper operation because the modification will be overwritten after configuration synchronization.</li></ul>
+</div></div>
+</li><li id="mrs_01_1070__l783987fd571f4c5aaec7979eda517643">Click <strong id="mrs_01_1070__b65617157104952">Save</strong>, and then click <strong id="mrs_01_1070__b17684498104952">OK</strong>.</li><li id="mrs_01_1070__ld0c1b7a7ff414281960554ea82c46f51">Click <strong id="mrs_01_1070__b1360587764104952">Finish</strong>.</li></ol>
+</p></li><li id="mrs_01_1070__l55405cfc77f54395bc7a39d79a1b11f1"><span>Configure the client parameters of the Flume role.</span><p><ol type="a" id="mrs_01_1070__o3c81eff66f954ca793e0b8f9d8047da7"><li id="mrs_01_1070__l32c83dcc7c984a8db53b0548e4921bee">Run the following commands to copy the generated client certificate (<strong id="mrs_01_1070__b3445133325512">flume_cChat.jks</strong>) and client trust list (<strong id="mrs_01_1070__b5451133318558">flume_cChatt.jks</strong>) to the client directory, for example, <strong id="mrs_01_1070__b545173325517">/opt/flume-client/fusionInsight-flume-1.9.0/conf/</strong>. (The Flume client must have been installed.) <strong id="mrs_01_1070__b194525330550">10.196.26.1</strong> is the service plane IP address of the node where the client resides.<p class="litext" id="mrs_01_1070__a2adb288ce73e4380a18e4b25be5ca34e"><strong id="mrs_01_1070__b43872971145457">scp ${BIGDATA_HOME}/FusionInsight_Porter_</strong><strong id="mrs_01_1070__b52322351812"><span id="mrs_01_1070__text724923223117">8.1.0.1</span></strong><strong id="mrs_01_1070__b59312427145457">/install/FusionInsight-Flume-1.9.0/flume/conf/flume_cChat.jks user@10.196.26.1:/opt/flume-client/fusionInsight-flume-1.9.0/conf/</strong></p>
+<div class="litext" id="mrs_01_1070__ad5f1323eb22a4fa6861a364b2a3d831c"><strong id="mrs_01_1070__b4492439514556">scp ${BIGDATA_HOME}/FusionInsight_Porter_</strong><strong id="mrs_01_1070__b13644183718817"><span id="mrs_01_1070__text353024612319">8.1.0.1</span></strong><strong id="mrs_01_1070__b36879054145513">/install/FusionInsight-Flume-1.9.0/flume/conf/flume_cChatt.jks user@10.196.26.1:/opt/flume-client/fusionInsight-flume-1.9.0/conf/</strong><div class="note" id="mrs_01_1070__nc309832bf90b42289e8d5836d05b5d60"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_1070__en-us_topic_0060839710_p785106964">When copying the client certificate, you need to enter the password of user <strong id="mrs_01_1070__b564223024104952">user</strong> of the host (for example, <strong id="mrs_01_1070__b2022254028104952">10.196.26.1</strong>) where the client resides.</p>
+</div></div>
+</div>
+</li><li id="mrs_01_1070__l57ccadce94dd45f0b47130297e1b0f28">Log in to the node where the Flume client is decompressed as user <strong id="mrs_01_1070__a448e63604ec6452eb0720f3eb260cc4c">user</strong>. Run the following command to go to the client directory <strong id="mrs_01_1070__b1613310363559">/opt/flume-client/fusionInsight-flume-1.9.0/bin</strong>.<p class="litext" id="mrs_01_1070__ac8084453e135409e8e3d7818ae842867"><strong id="mrs_01_1070__a345e2d5d5dd2468bb0130b2bf2678048">cd </strong>opt/flume-client/fusionInsight-flume-1.9.0/bin</p>
+</li><li id="mrs_01_1070__lf5cdb5eca44842caac47a27a09a4e206"><a name="mrs_01_1070__lf5cdb5eca44842caac47a27a09a4e206"></a><a name="lf5cdb5eca44842caac47a27a09a4e206"></a>Run the following command to generate and obtain Flume client keystore password, trust list password, and keystore-password encrypted private key information. Enter the password twice and confirm the password. The password is the same as the password of the certificate whose alias is <em id="mrs_01_1070__i8627539105415">flumechatclient</em> and the password of the <em id="mrs_01_1070__i1363314398546">flume_cChat.jks</em> certificate library.<p class="litext" id="mrs_01_1070__a15fb654156d94c69901ac2ddef6717ef"><strong id="mrs_01_1070__ac01a94c1ba734b48b5273f168577b4d5">./genPwFile.sh</strong></p>
+<p class="litext" id="mrs_01_1070__a3d00db8e264b466996c747693ec1763f"><strong id="mrs_01_1070__a5a87e1ece20f469789f54dabd836c4fb">cat password.property</strong></p>
+<div class="note" id="mrs_01_1070__ne4d902c177744c4a90b45cda3a6560b1"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_1070__a2059043a83144e1b8a1e66b17eba03fa">If the following error message is displayed, run the export <strong id="mrs_01_1070__b974168206104952">JAVA_HOME=<em id="mrs_01_1070__i1264942505104952">JDK</em><em id="mrs_01_1070__i777764513104952">path</em></strong> command.</p>
+<pre class="screen" id="mrs_01_1070__s8b22645265054232b427f1f4f4113dcd">JAVA_HOME is null in current user,please install the JDK and set the JAVA_HOME</pre>
+</div></div>
+</li><li id="mrs_01_1070__li1686593619549">Run the <strong id="mrs_01_1070__b18251759173018">echo $SCC_PROFILE_DIR</strong> command to check whether the <strong id="mrs_01_1070__b68252059143014">SCC_PROFILE_DIR</strong> environment variable is empty.<ul id="mrs_01_1070__ul6543127125720"><li id="mrs_01_1070__li125431627125712">If yes, run the <strong id="mrs_01_1070__b598614513317">source .sccfile</strong> command.</li><li id="mrs_01_1070__li1483204513576">If no, go to <a href="#mrs_01_1070__l5e1fd98241304e658764a6bdc63d7299">4.e</a>.</li></ul>
+</li><li id="mrs_01_1070__l5e1fd98241304e658764a6bdc63d7299"><a name="mrs_01_1070__l5e1fd98241304e658764a6bdc63d7299"></a><a name="l5e1fd98241304e658764a6bdc63d7299"></a>Use the Flume configuration tool on FusionInsight Manager to configure the Flume role client parameters and generate a configuration file.<ol class="substepthirdol" id="mrs_01_1070__o6ea13f384eaa4b3f9771bc9f68bf30bc"><li id="mrs_01_1070__le47b78ecc342486694c389aa27f737c2">Log in to FusionInsight Manager and choose <strong id="mrs_01_1070__b656766594104952">Cluster</strong> &gt; <em id="mrs_01_1070__i1413592460104952">Name of the desired cluster</em> &gt; <strong id="mrs_01_1070__b1734021559104952">Services</strong> &gt; <strong id="mrs_01_1070__b870443989104952">Flume</strong> &gt; <strong id="mrs_01_1070__b1065093709104952">Configuration Tool</strong>.</li><li id="mrs_01_1070__l3854778cbe2147ec8c6fb5199b5ae3c9">Set <strong id="mrs_01_1070__b176271091104952">Agent Name</strong> to <strong id="mrs_01_1070__b255175550104952">client</strong>. Select the source, channel, and sink to be used, drag them to the GUI on the right, and connect them.<p id="mrs_01_1070__a1ff6667c01b1401186e185ef92f3362c">Use SpoolDir Source, File Channel, and HDFS Sink.</p>
+</li><li id="mrs_01_1070__l0c63e7971a9a4787870327bba82d518b">Double-click the source, channel, and sink. Set corresponding configuration parameters by seeing <a href="#mrs_01_1070__t4e49dd595a71448eb33a418332772306">Table 2</a> based on the actual environment.<div class="note" id="mrs_01_1070__n561af40ae0e84f7f9de02999ecf734d0"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1070__ucdb817f7fcbe4312860d3bceb17472e2"><li id="mrs_01_1070__l60e988e84abe40ac9a48bec3d3f9c946">If the client parameters of the Flume role have been configured, you can obtain the existing client parameter configuration file from <em id="mrs_01_1070__i1185959806104952">client installation directory</em><strong id="mrs_01_1070__b2038139280104952">/fusioninsight-flume-1.9.0/conf/properties.properties</strong>  to ensure that the configuration is in concordance with the previous. Log in to FusionInsight Manager, choose <strong id="mrs_01_1070__b866480613104952">Cluster</strong> &gt; <em id="mrs_01_1070__i1478176286104952">Name of the desired cluster</em> &gt; <strong id="mrs_01_1070__b201569333104952">Services</strong> &gt; <strong id="mrs_01_1070__b1024007974104952">Flume</strong> &gt; <strong id="mrs_01_1070__b624651067104952">Configuration Tool</strong> &gt; <strong id="mrs_01_1070__b609344092104952">Import</strong>, import the file, and modify the configuration items related to encrypted transmission.</li><li id="mrs_01_1070__l896ac7100a754f8c9dfbfa019fb8db18">It is recommended that the numbers of Sources, Channels, and Sinks do not exceed 40 during configuration file import. Otherwise, the response time may be very long.</li></ul>
+</div></div>
+</li><li id="mrs_01_1070__l7434fe452c964ae7a4706d59d743d856">Click <strong id="mrs_01_1070__b1256693960104952">Export</strong> to save the <strong id="mrs_01_1070__b586313445104952">properties.properties</strong> configuration file to the local.
+<div class="tablenoborder"><a name="mrs_01_1070__t4e49dd595a71448eb33a418332772306"></a><a name="t4e49dd595a71448eb33a418332772306"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1070__t4e49dd595a71448eb33a418332772306" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Parameters to be modified of the Flume role client</caption><thead align="left"><tr id="mrs_01_1070__ra28a1f500fce4420b6f628aaf828baae"><th align="left" class="cellrowborder" valign="top" width="33%" id="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.1"><p id="mrs_01_1070__a57376fd48b134640a4ac225a8b9af4d3">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33%" id="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.2"><p id="mrs_01_1070__a0c92a872a5964d098ef820708b919758">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="34%" id="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.3"><p id="mrs_01_1070__a3d7488d4377043ee8f997510d5f62b27">Example Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1070__ra8d24df0fa464f7a979a0d4c7a232c0d"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.1 "><p id="mrs_01_1070__ae112955790fc460a9fb913e108eb491d">Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.2 "><p id="mrs_01_1070__a295a4df6f69645be876f9dc887fdf018">The value must be unique and cannot be left blank.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.3 "><p id="mrs_01_1070__a00ed9e8b9b4d48c88decde172bd5fbd0">test</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__r30c402805da042d881d03efc82fad1ca"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.1 "><p id="mrs_01_1070__a6bdd92a0b2f34f20be83e2e15e6ebdc0">spoolDir</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.2 "><p id="mrs_01_1070__a25ad30888ff94f57bcd55a2e6d2c6a2c">Specifies the directory where the file to be collected resides. This parameter cannot be left blank. The directory needs to exist and have the write, read, and execute permissions on the flume running user.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.3 "><p id="mrs_01_1070__a3038886b42c44c7b82dc3a8b247416d1">/srv/BigData/hadoop/data1/zb</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__rcaf7a4fb720849c59e6bbff978266a8a"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.1 "><p id="mrs_01_1070__a0d82afe651be42819b548b057c2f381e">trackerDir</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.2 "><p id="mrs_01_1070__ac2048c9e834d4eadba77d003c77fe867">Specifies the path for storing the metadata of files collected by Flume.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.3 "><p id="mrs_01_1070__ab61ee34ea837420bb008c3cb559998d1">/srv/BigData/hadoop/data1/tracker</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__rb97f0d90585b4d54b1f2cbc58a04498c"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.1 "><p id="mrs_01_1070__en-us_topic_0060839710_p23544582637">batch-size</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.2 "><p id="mrs_01_1070__a97c17f0dc4a34878b15baa39fbc53001">Specifies the number of events that Flume sends in a batch.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.3 "><p id="mrs_01_1070__en-us_topic_0060839710_p125642482637">61200</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__r28c7b7e33b62427f9e4dbfa6f113746b"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.1 "><p id="mrs_01_1070__a298fcbcfcaed412bb76a5183444110b1">dataDirs</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.2 "><p id="mrs_01_1070__af9da3ddde2a5403ea81e3ec2d6b8fce9">Specifies the directory for storing buffer data. The run directory is used by default. Configuring multiple directories on disks can improve transmission efficiency. Use commas (,) to separate multiple directories. If the directory is inside the cluster, the <strong id="mrs_01_1070__b500535095104952">/srv/BigData/hadoop/dataX/flume/data</strong> directory can be used. <strong id="mrs_01_1070__b696512861104952">dataX</strong> ranges from data1 to dataN. If the directory is outside the cluster, it needs to be independently planned.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.3 "><p id="mrs_01_1070__acc63ce1a459a4554b5a6c10b4ebefe99">/srv/BigData/hadoop/data1/flume/data</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__r5431f7df1b6347b382a7d8c421f85040"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.1 "><p id="mrs_01_1070__ad473217e4f804cb38108f503bf83c02f">checkpointDir</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.2 "><p id="mrs_01_1070__a03b2be2b3628400798749f76ae345664">Specifies the directory for storing the checkpoint information, which is under the run directory by default. If the directory is inside the cluster, the <strong id="mrs_01_1070__b993365573104952">/srv/BigData/hadoop/dataX/flume/checkpoint</strong> directory can be used. <strong id="mrs_01_1070__b669929031104952">dataX</strong> ranges from data1 to dataN. If the directory is outside the cluster, it needs to be independently planned.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.3 "><p id="mrs_01_1070__ab1da401177c649ffafdbf75ee51a5fea">/srv/BigData/hadoop/data1/flume/checkpoint</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__r55696d02c3ac41f5a6b775ecd3da4653"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.1 "><p id="mrs_01_1070__a4ebf96cced95489cb9bc03245d3b4a79">transactionCapacity</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.2 "><p id="mrs_01_1070__a9b400bbb110742dd9e4639312724d51d">Specifies the transaction size, that is, the number of events in a transaction that can be processed by the current Channel. The size cannot be smaller than the batchSize of Source. Setting the same size as batchSize is recommended.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.3 "><p id="mrs_01_1070__a9f48f99d3cd74201adb9a91a9d620cb9">61200</p>
+<p id="mrs_01_1070__a7355d31838cf4430946b2521ac9ee897"></p>
+</td>
+</tr>
+<tr id="mrs_01_1070__r7d536a21a0eb4894ac929cd1ef74978a"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.1 "><p id="mrs_01_1070__a968d2db1a4ac4f238d33e5c44c133675">hostname</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.2 "><p id="mrs_01_1070__a7797c894bc6a4586b264771cf05a8bf0">Specifies the name or IP address of the host whose data is to be sent. This parameter cannot be left blank. Name or IP address must be configured to be the name or IP address that the Avro source associated with it.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.3 "><p id="mrs_01_1070__a095348482ca647f7937458dfb5e1a6f0">192.168.108.11</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__r077cbe171426476a8f0232ca7df4012d"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.1 "><p id="mrs_01_1070__addc892c437a347bfb210a8740195495c">port</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.2 "><p id="mrs_01_1070__a5a9f7e14311a4ad8b089bc7fed512ec1">Specifies the IP address to which Avro Sink is bound. This parameter cannot be left blank. It must be consistent with the port that is monitored by the connected Avro Source.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.3 "><p id="mrs_01_1070__a193a75180e1545089fa389349fbe557b">21154</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__r54903abfd44b4219862330364380c9a9"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.1 "><p id="mrs_01_1070__ab26804d95c1349029dd555c3404780db">ssl</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.2 "><p id="mrs_01_1070__aef87becad47b49d5b85850cc021b679a">Specifies whether to enable the SSL authentication. (You are advised to enable this function to ensure security.)</p>
+<p id="mrs_01_1070__aed966883fc4b4601aed036c2cc185f34">Only Sources of the Avro type have this configuration item.</p>
+<ul id="mrs_01_1070__u2fa06bf475874e6a8df1ddbe1b353b99"><li id="mrs_01_1070__lfc268d5b4a6d41dbb07e99983edb7d88"><strong id="mrs_01_1070__b1161561457104952">true</strong> indicates that the function is enabled.</li><li id="mrs_01_1070__l0fd9d81d5e294a8db22467e0ebb3d83f"><strong id="mrs_01_1070__b1107609016104952">false</strong> indicates that the client authentication function is not enabled.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.3 "><p id="mrs_01_1070__a19a7d361a61d4d4ba39aac0a7396606c">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__r37115470a23d4318b262e919a5e9aa30"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.1 "><p id="mrs_01_1070__ab5a24284fcd6411aa9b282166c281855">keystore</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.2 "><p id="mrs_01_1070__a5b90d19171a941ae82444376c10b2873">Specifies the <strong id="mrs_01_1070__b39531149115616">flume_cChat.jks</strong> certificate generated on the server.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.3 "><p id="mrs_01_1070__abae55908d8f747e9be16915274c16b84">/opt/flume-client/fusionInsight-flume-1.9.0/conf/flume_cChat.jks</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__r7e3ac3293b144033b5db98437fd2a746"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.1 "><p id="mrs_01_1070__a679ae72a0c7343a9993f3e670130ebea">keystore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.2 "><p id="mrs_01_1070__aa0db62a87ea84e9ca62cc1f55114e004">Specifies the password of the key library, which is the password required to obtain the keystore information.</p>
+<p id="mrs_01_1070__a49beaf5160fb4c638fc2d668a0323abc">Enter the value of <strong id="mrs_01_1070__b83681824141516">password</strong> obtained in <a href="#mrs_01_1070__lf5cdb5eca44842caac47a27a09a4e206">4.c</a>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.3 "><p id="mrs_01_1070__a9a422e51f8164c388e70d1300f1c4a2a">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__r802c5265075a4d1087099569def34083"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.1 "><p id="mrs_01_1070__acc4a2194807e4e1aa9d2a07cae30db37">truststore</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.2 "><p id="mrs_01_1070__a6dac63edc6264dd480c0d8aade710691">Indicates the SSL certificate trust list of the server.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.3 "><p id="mrs_01_1070__a906711a25f6f4d5e8f84639a54c11e09">/opt/flume-client/fusionInsight-flume-1.9.0/conf/flume_cChatt.jks</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__r2f84a52cb4034aa5962f361cbbf372c3"><td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.1 "><p id="mrs_01_1070__a3f5f19de93ce41f7a58f59b5241dbf87">truststore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="33%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.2 "><p id="mrs_01_1070__en-us_topic_0060839710_p228138101149">Specifies the trust list password, which is the password required to obtain the truststore information.</p>
+<p id="mrs_01_1070__acf0fac7cb92d49d885769304ee2536dd">Enter the value of <strong id="mrs_01_1070__b144992030141518">password</strong> obtained in <a href="#mrs_01_1070__lf5cdb5eca44842caac47a27a09a4e206">4.c</a>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="34%" headers="mcps1.3.3.2.4.2.1.5.1.4.3.2.4.1.3 "><p id="mrs_01_1070__ad0f6df20d7e74dd7a550b02dfbfacac1">-</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ol>
+</li><li id="mrs_01_1070__lbf205c7f289b4b1ea4a0cf316570c1ea">Upload the <strong id="mrs_01_1070__b1172311321154">properties.properties</strong> file to <strong id="mrs_01_1070__b19724193241515">flume/conf/</strong> under the installation directory of the Flume client.</li></ol>
+</p></li><li id="mrs_01_1070__l0f65006f239a42dbb35cdddac6963031"><span>Generate the certificate and trust list of the server and client of the MonitorServer role respectively.</span><p><ol type="a" id="mrs_01_1070__o674a2c57577d401ba09fe20aca34c88b"><li id="mrs_01_1070__l7f37c5893c724b8b835e252c14f0cdc4">Log in to the host with the MonitorServer role assigned as user <strong id="mrs_01_1070__a1adf161139ac42a4a9ddebf61e911357">omm</strong>.<p id="mrs_01_1070__a634df154a1f54bf4870f549386a2ead8">Go to the <strong id="mrs_01_1070__b67151048161520">${BIGDATA_HOME}/FusionInsight_Porter_<span id="mrs_01_1070__text57151448131516">8.1.0.1</span>/install/FusionInsight-Flume-1.9.0/flume/bin</strong> directory.</p>
+<p class="litext" id="mrs_01_1070__a39dc79b2b1974da7a21807c1437443f2"><strong id="mrs_01_1070__b30152378145538">cd ${BIGDATA_HOME}/FusionInsight_Porter_</strong><strong id="mrs_01_1070__b10137131911914"><span id="mrs_01_1070__text1563411843319">8.1.0.1</span></strong><strong id="mrs_01_1070__b2935954145538">/install/FusionInsight-Flume-1.9.0/flume/bin</strong></p>
+</li><li id="mrs_01_1070__ld2beb20e5e464a919398b52285b42152">Run the following command to generate and export the server and client certificates of the MonitorServer role:<p id="mrs_01_1070__a9894bb741bc44aefbdc45d4b16564f87"><a name="mrs_01_1070__ld2beb20e5e464a919398b52285b42152"></a><a name="ld2beb20e5e464a919398b52285b42152"></a><strong id="mrs_01_1070__b125768104587">sh geneJKS.sh -m </strong><em id="mrs_01_1070__i87518111582">Password</em><strong id="mrs_01_1070__b18293202110588"> -n </strong><em id="mrs_01_1070__i4295152185813">Password</em></p>
+<p id="mrs_01_1070__ac767ca5bb42a4a2f96a7cd0c03b39402">The generated certificate is saved in the <strong id="mrs_01_1070__b834345251511">${BIGDATA_HOME}/FusionInsight_Porter_<span id="mrs_01_1070__text133819527150">8.1.0.1</span>/install/FusionInsight-Flume-1.9.0/flume/conf</strong> path. Where:</p>
+<ul id="mrs_01_1070__ue46d777eb0884d2696da5c7a152da402"><li id="mrs_01_1070__l7b82f97a1c9042ac9c95677897148d83"><strong id="mrs_01_1070__b11403354161510">ms_sChat.jks</strong> is the certificate library of the MonitorServer role server. <strong id="mrs_01_1070__b1040325481514">ms_sChat.crt</strong> is the exported file of the <strong id="mrs_01_1070__b6403195419159">ms_sChat.jks</strong> certificate. <strong id="mrs_01_1070__b15404145401514">-m</strong> indicates the password of the certificate and certificate library.</li><li id="mrs_01_1070__la438eb82813946039e6d9911fd1156a2"><strong id="mrs_01_1070__b1215515620152">ms_cChat.jks</strong> is the certificate library of the MonitorServer role client. <strong id="mrs_01_1070__b01552567155">ms_cChat.crt</strong> is the exported file of the <strong id="mrs_01_1070__b5156105601517">ms_cChat.jks</strong> certificate. <strong id="mrs_01_1070__b315675661517">-n</strong> indicates the password of the certificate and certificate library.</li><li id="mrs_01_1070__la2ef992015404aed8928b8a8ee4e6f43"><strong id="mrs_01_1070__b14339115821511">ms_sChatt.jks</strong> and <strong id="mrs_01_1070__b8339205818158">ms_cChatt.jks</strong> are the SSL certificate trust lists of the MonitorServer server and client, respectively.</li></ul>
+</li></ol>
+</p></li><li id="mrs_01_1070__l899932fdf8a740beab9ce05d2467697b"><span>Set the server parameters of the MonitorServer role.</span><p><ol type="a" id="mrs_01_1070__of6322b96099745218c8fb3f7ca14a322"><li id="mrs_01_1070__la6ea6d1571ea4b2a94b3c942a18144db"><a name="mrs_01_1070__la6ea6d1571ea4b2a94b3c942a18144db"></a><a name="la6ea6d1571ea4b2a94b3c942a18144db"></a>Run the following command to generate and obtain MonitorServer server keystore password, trust list password, and keystore-password encrypted private key information. Enter the password twice and confirm the password. The password is the same as the password of the certificate whose alias is <em id="mrs_01_1070__i576419422541">mschatserver</em> and the password of the <em id="mrs_01_1070__i11764142205420">ms_sChat.jks</em> certificate library.<p class="litext" id="mrs_01_1070__a10e052a7e2cd437f8231041d107af6e7"><strong id="mrs_01_1070__a013a76a9dbf04c37a1f872caa7c9990b">./genPwFile.sh</strong></p>
+<p class="litext" id="mrs_01_1070__a91d3194985b24964bbfb4106c26b93be"><strong id="mrs_01_1070__a6e5b67fd4d9b4c16bbf7f99cb24ade92">cat password.property</strong></p>
+</li><li id="mrs_01_1070__l8b4e493ad9744a61a09e79c5d58d18d2">Run the following command to open the ${BIGDATA_HOME}/FusionInsight_Porter_<span id="mrs_01_1070__text15149163303312">8.1.0.1</span>/install/FusionInsight-Flume-1.9.0/flume/conf/service/application.properties file: Modify related parameters based on the description in <a href="#mrs_01_1070__tc32e0ef5ae504791afb953e98354efa7">Table 3</a>, save the modification, and exit.<p class="litext" id="mrs_01_1070__adb023539f6204424b78e5361f5a0f7f7"><strong id="mrs_01_1070__b5140511714564">vi ${BIGDATA_HOME}/FusionInsight_Porter_</strong><span id="mrs_01_1070__text2037614419339">8.1.0.1</span><strong id="mrs_01_1070__b5999287214564">/install/FusionInsight-Flume-1.9.0/flume/conf/service/application.properties</strong></p>
+
+<div class="tablenoborder"><a name="mrs_01_1070__tc32e0ef5ae504791afb953e98354efa7"></a><a name="tc32e0ef5ae504791afb953e98354efa7"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1070__tc32e0ef5ae504791afb953e98354efa7" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Parameters to be modified of the MonitorServer role server</caption><thead align="left"><tr id="mrs_01_1070__re82c89438bf54f508afd3cabf271f931"><th align="left" class="cellrowborder" valign="top" width="22.447755224477554%" id="mcps1.3.3.2.6.2.1.2.4.2.4.1.1"><p id="mrs_01_1070__a603b408e78064907b380bfb7035df900">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="38.77612238776123%" id="mcps1.3.3.2.6.2.1.2.4.2.4.1.2"><p id="mrs_01_1070__a9dc86e7fe5b244c48a314dc16bb45b50">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="38.77612238776123%" id="mcps1.3.3.2.6.2.1.2.4.2.4.1.3"><p id="mrs_01_1070__af706bb65e50e4b2ea9ff238380c76c3d">Example Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1070__r5b2ffcc1a57245eeb87309c3ffd9cdf2"><td class="cellrowborder" valign="top" width="22.447755224477554%" headers="mcps1.3.3.2.6.2.1.2.4.2.4.1.1 "><p id="mrs_01_1070__aefd015a536b04b6381c5e53c44167bc4">ssl_need_kspasswd_decrypt_key</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.6.2.1.2.4.2.4.1.2 "><p id="mrs_01_1070__afd4653ac1e5e4e2dac490bb76e8511c8">Indicates whether to enable the user-defined key encryption and decryption function. (You are advised to enable this function to ensure security.)</p>
+<ul id="mrs_01_1070__u76c2ad1195ae45c98896a28619652b19"><li id="mrs_01_1070__l2b115a18f77a4c668dfaa029a36ceda8"><strong id="mrs_01_1070__b1247717861104952">true</strong> indicates that the function is enabled.</li><li id="mrs_01_1070__l3f4c62b3942440afbc4c0de7ce4df757"><strong id="mrs_01_1070__b1945209252104952">false</strong> indicates that the client authentication function is not enabled.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.6.2.1.2.4.2.4.1.3 "><p id="mrs_01_1070__a18876ca7c388454d88b43c48bf77e644">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__rbcc56b7a21214821abf7792a736b1d68"><td class="cellrowborder" valign="top" width="22.447755224477554%" headers="mcps1.3.3.2.6.2.1.2.4.2.4.1.1 "><p id="mrs_01_1070__a1ae6fb062a36401fa8a6ecf240799e82">ssl_server_enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.6.2.1.2.4.2.4.1.2 "><p id="mrs_01_1070__a3212d9f2113c46a6b01c7ef3c91683be">Indicates whether to enable the SSL authentication. (You are advised to enable this function to ensure security.)</p>
+<ul id="mrs_01_1070__u331bf3ac5c03487ca5f70db9ec0f5dfe"><li id="mrs_01_1070__l0dbc6bc5aa7641f2b35b6f59bee3a242"><strong id="mrs_01_1070__b785343601104952">true</strong> indicates that the function is enabled.</li><li id="mrs_01_1070__l4565675e34b64bd09605cd039f9f97d7"><strong id="mrs_01_1070__b267024270104952">false</strong> indicates that the client authentication function is not enabled.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.6.2.1.2.4.2.4.1.3 "><p id="mrs_01_1070__a314bfda487284dcdaf55029e2c41170a">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__rb8869a549851426fb88c28468562bd31"><td class="cellrowborder" valign="top" width="22.447755224477554%" headers="mcps1.3.3.2.6.2.1.2.4.2.4.1.1 "><p id="mrs_01_1070__a15a8b93875014c43aa3180267144deb2">ssl_server_key_store</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.6.2.1.2.4.2.4.1.2 "><p id="mrs_01_1070__a4837b667e2074f3ebbce0fbbdcf3d61e">Set this parameter based on the specific storage location.</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.6.2.1.2.4.2.4.1.3 "><p id="mrs_01_1070__a44b4b383998044baa1a84403fad959d0">${BIGDATA_HOME}/FusionInsight_Porter_<span id="mrs_01_1070__text10738195017335">8.1.0.1</span>/install/FusionInsight-Flume-1.9.0/flume/conf/ms_sChat.jks</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__r078e75688fdb43a8b048cf254e0bbcb4"><td class="cellrowborder" valign="top" width="22.447755224477554%" headers="mcps1.3.3.2.6.2.1.2.4.2.4.1.1 "><p id="mrs_01_1070__a48a7263245ed4c55831867c1bec5a2ab">ssl_server_trust_key_store</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.6.2.1.2.4.2.4.1.2 "><p id="mrs_01_1070__a41bf4ffccb964d29a14a9a8e5c48149c">Set this parameter based on the specific storage location.</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.6.2.1.2.4.2.4.1.3 "><p id="mrs_01_1070__aa51e05df19584524aabfe025928fa9b1">${BIGDATA_HOME}/FusionInsight_Porter_<span id="mrs_01_1070__text124722058133315">8.1.0.1</span>/install/FusionInsight-Flume-1.9.0/flume/conf/ms_sChatt.jks</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__r2faecccbf21849e8999cb730d15aa1e1"><td class="cellrowborder" valign="top" width="22.447755224477554%" headers="mcps1.3.3.2.6.2.1.2.4.2.4.1.1 "><p id="mrs_01_1070__a120ef63970214518b2d4df0f50b92435">ssl_server_key_store_password</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.6.2.1.2.4.2.4.1.2 "><p id="mrs_01_1070__aaebe28da69494058ab9522c3288a19ae">Indicates the client certificate password. Set this parameter based on the actual situation of certificate creation (the plaintext key used to generate the certificate).</p>
+<p id="mrs_01_1070__a591fcaa7eaa54c25a241cfbf105ba0f0">Enter the value of <strong id="mrs_01_1070__b82273915513">password</strong> obtained in <a href="#mrs_01_1070__la6ea6d1571ea4b2a94b3c942a18144db">6.a</a>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.6.2.1.2.4.2.4.1.3 "><p id="mrs_01_1070__a5b80817c7f7144378c4d9cc831e83343">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__rb2310f5de2fc4bdd80117580a180a346"><td class="cellrowborder" valign="top" width="22.447755224477554%" headers="mcps1.3.3.2.6.2.1.2.4.2.4.1.1 "><p id="mrs_01_1070__a7f31d8cabd6e40ac9d4284a3c8c57550">ssl_server_trust_key_store_password</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.6.2.1.2.4.2.4.1.2 "><p id="mrs_01_1070__a17110e34d0214284b86d9074a066e95b">Indicates the client trust list password. Set this parameter based on the actual situation of certificate creation (the plaintext key used to generate the trust list).</p>
+<p id="mrs_01_1070__a025f00b22e7c40ca9f56b4ae31ea8792">Enter the value of <strong id="mrs_01_1070__b273171211511">password</strong> obtained in <a href="#mrs_01_1070__la6ea6d1571ea4b2a94b3c942a18144db">6.a</a>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.6.2.1.2.4.2.4.1.3 "><p id="mrs_01_1070__ae371e9e324bc493997d3ab1085779d08">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__r9e0d1750029c4ef7b4b8b7cc32e3abe7"><td class="cellrowborder" valign="top" width="22.447755224477554%" headers="mcps1.3.3.2.6.2.1.2.4.2.4.1.1 "><p id="mrs_01_1070__aea7fffbe975e478c820b3a4d96956ce5">ssl_need_client_auth</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.6.2.1.2.4.2.4.1.2 "><p id="mrs_01_1070__ae2c74bc46f2a41caaa87cad6e8e9b9b8">Indicates whether to enable the client authentication. (You are advised to enable this function to ensure security.)</p>
+<ul id="mrs_01_1070__u0487c5b166eb411caf58e0b500924775"><li id="mrs_01_1070__l5c92c046c2744911878b3f0d9476f313"><strong id="mrs_01_1070__b985087478104952">true</strong> indicates that the function is enabled.</li><li id="mrs_01_1070__l758e4c8c84e0497093aa18075a8fafdb"><strong id="mrs_01_1070__b1047642015104952">false</strong> indicates that the client authentication function is not enabled.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.6.2.1.2.4.2.4.1.3 "><p id="mrs_01_1070__abd4fa243e99044028603bca162761a35">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1070__la3707532484d49ac92e98c39399a9f8f">Restart the MonitorServer instance. Choose <strong id="mrs_01_1070__b1840865956104952">Cluster &gt; </strong><em id="mrs_01_1070__i1481729195104952">Name of the desired cluster</em><strong id="mrs_01_1070__b1492904927104952"> &gt; Services &gt; Flume &gt; Instance &gt; MonitorServer</strong>, select the configured MonitorServer instance, and choose <strong id="mrs_01_1070__b2129731110104952">More &gt; Restart Instance</strong>. Enter the <span id="mrs_01_1070__ph4382163112204">system </span>administrator password and click <strong id="mrs_01_1070__b18238822191711">OK</strong>. After the restart is complete, click <strong id="mrs_01_1070__b82441822131718">Finish</strong>.</li></ol>
+</p></li><li id="mrs_01_1070__l19f65593655c4fd4880c6d84cf31b6b7"><span>Set the client parameters of the MonitorServer role.</span><p><ol type="a" id="mrs_01_1070__of6d61a3bba02484dbd600d32ec4c9447"><li id="mrs_01_1070__l6b98060caf0a47e987547bca68f9f33b">Run the following commands to copy the generated client certificate (<strong id="mrs_01_1070__b1632969831104952">ms_cChat.jks</strong>) and client trust list (<strong id="mrs_01_1070__b873302067104952">ms_cChatt.jks</strong>) to the <strong id="mrs_01_1070__b1836760642104952">/opt/flume-client/fusionInsight-flume-1.9.0/conf/</strong> client directory. <strong id="mrs_01_1070__b1641931916104952">10.196.26.1</strong> is the service plane IP address of the node where the client resides.<p class="litext" id="mrs_01_1070__ad98fd953f9494e89a498dd0b6916f4df"><strong id="mrs_01_1070__b38111446145645">scp ${BIGDATA_HOME}/FusionInsight_Porter_</strong><strong id="mrs_01_1070__b2811154991"><span id="mrs_01_1070__text534417810342">8.1.0.1</span></strong><strong id="mrs_01_1070__b7458702145645">/install/FusionInsight-Flume-1.9.0/flume/conf/ms_cChat.jks user@10.196.26.1:/opt/flume-client/fusionInsight-flume-1.9.0/conf/</strong></p>
+<p class="litext" id="mrs_01_1070__a508c979b9fbc44c18ddb28c7c3635f19"><strong id="mrs_01_1070__b25097680145722">scp ${BIGDATA_HOME}/FusionInsight_Porter_</strong><strong id="mrs_01_1070__b383854395"><span id="mrs_01_1070__text543094612349">8.1.0.1</span></strong><strong id="mrs_01_1070__b24552533145722">/install/FusionInsight-Flume-1.9.0/flume/conf/ms_cChatt.jks user@10.196.26.1:/opt/flume-client/fusionInsight-flume-1.9.0/conf/</strong></p>
+</li><li id="mrs_01_1070__l3e70e6c57e714dad8d39183fdde2d428">Log in to the node where the Flume client is located as user <strong id="mrs_01_1070__b69745287172">user</strong>. Run the following command to go to the client directory <strong id="mrs_01_1070__b239844125516">/opt/flume-client/fusionInsight-flume-1.9.0/bin</strong>.<p class="litext" id="mrs_01_1070__a29ec5e3de737405ba3e5fbce7af30276"><strong id="mrs_01_1070__ac565c8f418684b898eb08c34e3da4b00">cd </strong>/opt/flume-client/fusionInsight-flume-1.9.0/bin</p>
+</li><li id="mrs_01_1070__l6c040d3a99c04a7d87c53e59bafe8394"><a name="mrs_01_1070__l6c040d3a99c04a7d87c53e59bafe8394"></a><a name="l6c040d3a99c04a7d87c53e59bafe8394"></a>Run the following command to generate and obtain MonitorServer client keystore password, trust list password, and keystore-password encrypted private key information. Enter the password twice and confirm the password. The password is the same as the password of the certificate whose alias is <em id="mrs_01_1070__i19391443546">mschatclient</em> and the password of the <em id="mrs_01_1070__i17939174415542">ms_cChat.jks</em> certificate library.<p class="litext" id="mrs_01_1070__aadcc5fc162e545d8a59d827a616c7fa7"><strong id="mrs_01_1070__en-us_topic_0060839710_b453368310244">./genPwFile.sh</strong></p>
+<p class="litext" id="mrs_01_1070__aabf525e8f4334d9ba705f541e1713e43"><strong id="mrs_01_1070__abd3a02f7ae5a4cc6a7276a942fad3914">cat password.property</strong></p>
+</li><li id="mrs_01_1070__l6aa418ceef8946b785cdec8aeba8fd97">Run the following command to open the <strong id="mrs_01_1070__b129194311552">/opt/flume-client/fusionInsight-flume-1.9.0/conf/service/application.properties</strong> file. (<strong id="mrs_01_1070__b429204312557">/opt/flume-client/fusionInsight-flume-1.9.0</strong> is the directory where the client is installed.) Modify related parameters based on the description in <a href="#mrs_01_1070__ta0130cca376a4aaf833fa310a2e59e9d">Table 4</a>, save the modification, and exit.<p id="mrs_01_1070__a2ca23409708546c1b487ea1c9a2a5cc1"><strong id="mrs_01_1070__a9d23ecf37a2942c0a6081cae37584f97">vi </strong><strong id="mrs_01_1070__a7cda6e6fe43742838bc0e4db0f30c5fb">/opt/flume-client/fusionInsight-flume-1.9.0/conf/service/application.properties</strong></p>
+
+<div class="tablenoborder"><a name="mrs_01_1070__ta0130cca376a4aaf833fa310a2e59e9d"></a><a name="ta0130cca376a4aaf833fa310a2e59e9d"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1070__ta0130cca376a4aaf833fa310a2e59e9d" frame="border" border="1" rules="all"><caption><b>Table 4 </b>Parameters to be modified of the MonitorServer role client</caption><thead align="left"><tr id="mrs_01_1070__r6dfc637517dc41d19e7738b7bab3e2e0"><th align="left" class="cellrowborder" valign="top" width="22.447755224477554%" id="mcps1.3.3.2.7.2.1.4.5.2.4.1.1"><p id="mrs_01_1070__adddbfe2d86ee41e4b14bca1629ee4978">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="38.77612238776123%" id="mcps1.3.3.2.7.2.1.4.5.2.4.1.2"><p id="mrs_01_1070__a6cebeb4f97284ffb8205bb1bfef701d5">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="38.77612238776123%" id="mcps1.3.3.2.7.2.1.4.5.2.4.1.3"><p id="mrs_01_1070__addf295b2a8264fff8905146e798f167a">Example Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1070__rb70a9b2c29704ea1be3b3fce666b67ba"><td class="cellrowborder" valign="top" width="22.447755224477554%" headers="mcps1.3.3.2.7.2.1.4.5.2.4.1.1 "><p id="mrs_01_1070__a71f56a6b48a04ce88d78175ac5c9014b">ssl_need_kspasswd_decrypt_key</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.7.2.1.4.5.2.4.1.2 "><p id="mrs_01_1070__ad937b223d342465a8fab36846c13bca5">Indicates whether to enable the user-defined key encryption and decryption function. (You are advised to enable this function to ensure security.)</p>
+<ul id="mrs_01_1070__u5340dd120efc49128942ef44e6825b8e"><li id="mrs_01_1070__l2017f621f5734639b580fb0d63e5e221"><strong id="mrs_01_1070__b1973086566104952">true</strong> indicates that the function is enabled.</li><li id="mrs_01_1070__lfc627b00ae9644728d2431f67448d298"><strong id="mrs_01_1070__b1095462851104952">false</strong> indicates that the client authentication function is not enabled.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.7.2.1.4.5.2.4.1.3 "><p id="mrs_01_1070__ab55ac790d8334086ae2651b9607e0abc">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__r152fb80db11a4565ab0fda9b54ca9b35"><td class="cellrowborder" valign="top" width="22.447755224477554%" headers="mcps1.3.3.2.7.2.1.4.5.2.4.1.1 "><p id="mrs_01_1070__afba864f97cb94dac82ed64fd64c4354b">ssl_client_enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.7.2.1.4.5.2.4.1.2 "><p id="mrs_01_1070__a8bb1c54c12f24b3981a2288fe6834550">Indicates whether to enable the SSL authentication. (You are advised to enable this function to ensure security.)</p>
+<ul id="mrs_01_1070__u0c2c3c5e49c84591ba5ac7e805232cf0"><li id="mrs_01_1070__lce9a5b26060c43c99688ef9584e552d8"><strong id="mrs_01_1070__b790509637104952">true</strong> indicates that the function is enabled.</li><li id="mrs_01_1070__l8251eb5300684d2d884bb3dfd6f68461"><strong id="mrs_01_1070__b365534410104952">false</strong> indicates that the client authentication function is not enabled.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.7.2.1.4.5.2.4.1.3 "><p id="mrs_01_1070__en-us_topic_0060839710_p763480710244">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__r85c0d97b535f47bb97f723581a76271c"><td class="cellrowborder" valign="top" width="22.447755224477554%" headers="mcps1.3.3.2.7.2.1.4.5.2.4.1.1 "><p id="mrs_01_1070__aa403dcb79a704454aa6534169f484986">ssl_client_key_store</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.7.2.1.4.5.2.4.1.2 "><p id="mrs_01_1070__aa2c3bd53f62e494aa19386628d734146">Set this parameter based on the specific storage location.</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.7.2.1.4.5.2.4.1.3 "><p id="mrs_01_1070__a055371110f9246d1ac795235a87f4a97">${BIGDATA_HOME}/FusionInsight_Porter_<span id="mrs_01_1070__text13470557342">8.1.0.1</span>/install/FusionInsight-Flume-1.9.0/flume/conf/ms_cChat.jks</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__rd899e9066a444f7d8c69d4ca106f3518"><td class="cellrowborder" valign="top" width="22.447755224477554%" headers="mcps1.3.3.2.7.2.1.4.5.2.4.1.1 "><p id="mrs_01_1070__add33f1889759451d8c72b3add05f8d47">ssl_client_trust_key_store</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.7.2.1.4.5.2.4.1.2 "><p id="mrs_01_1070__a96498e0afbd14a93a9701290e6dfb52c">Set this parameter based on the specific storage location.</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.7.2.1.4.5.2.4.1.3 "><p id="mrs_01_1070__a361c96fcc0a24750837d1da46d3eefe5">${BIGDATA_HOME}/FusionInsight_Porter_<span id="mrs_01_1070__text9751714359">8.1.0.1</span>/install/FusionInsight-Flume-1.9.0/flume/conf/ms_cChatt.jks</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__r8d00a92e3c89447c9007c5ca2994c9c3"><td class="cellrowborder" valign="top" width="22.447755224477554%" headers="mcps1.3.3.2.7.2.1.4.5.2.4.1.1 "><p id="mrs_01_1070__en-us_topic_0060839710_p520838410244">ssl_client_key_store_password</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.7.2.1.4.5.2.4.1.2 "><p id="mrs_01_1070__a1124f26d4b784441a7437f57ff020470">Specifies the keystore password. Set this parameter based on the actual situation of certificate creation (the plaintext key used to generate the certificate).</p>
+<p id="mrs_01_1070__afd727474b4854881bd8d726746ee2012">Enter the value of <strong id="mrs_01_1070__b967405103104952">password</strong> obtained in <a href="#mrs_01_1070__l6c040d3a99c04a7d87c53e59bafe8394">7.c</a>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.7.2.1.4.5.2.4.1.3 "><p id="mrs_01_1070__a77b7d318730d4d14918316fdd56a5118">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__r5244ce99deb0439caaf1890d4f79ae5e"><td class="cellrowborder" valign="top" width="22.447755224477554%" headers="mcps1.3.3.2.7.2.1.4.5.2.4.1.1 "><p id="mrs_01_1070__ac1b0ca849be847f59a15fb655e0d3d94">ssl_client_trust_key_store_password</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.7.2.1.4.5.2.4.1.2 "><p id="mrs_01_1070__en-us_topic_0060839710_p770177010244">Specifies the trustkeystore password. Set this parameter based on the actual situation of certificate creation (the plaintext key used to generate the trust list).</p>
+<p id="mrs_01_1070__en-us_topic_0060839710_p220707410244">Enter the value of <strong id="mrs_01_1070__b16388560179">password</strong> obtained in <a href="#mrs_01_1070__l6c040d3a99c04a7d87c53e59bafe8394">7.c</a>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.7.2.1.4.5.2.4.1.3 "><p id="mrs_01_1070__a4f3f189c913f406a807b0790b1946095">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1070__rdf3b81b6cfd14fc4bca24071c931ed27"><td class="cellrowborder" valign="top" width="22.447755224477554%" headers="mcps1.3.3.2.7.2.1.4.5.2.4.1.1 "><p id="mrs_01_1070__en-us_topic_0060839710_p90628710244">ssl_need_client_auth</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.7.2.1.4.5.2.4.1.2 "><p id="mrs_01_1070__en-us_topic_0060839710_p630042310244">Indicates whether to enable the client authentication. (You are advised to enable this function to ensure security.)</p>
+<ul id="mrs_01_1070__u88c3aeac08724c3ea424449fa132b0f7"><li id="mrs_01_1070__l75645e8eec834d2db2964926cff8da7d"><strong id="mrs_01_1070__b746339633104952">true</strong> indicates that the function is enabled.</li><li id="mrs_01_1070__l2abf2a0930cc41c2816ce0420054f750"><strong id="mrs_01_1070__b1836527190104952">false</strong> indicates that the client authentication function is not enabled.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="38.77612238776123%" headers="mcps1.3.3.2.7.2.1.4.5.2.4.1.3 "><p id="mrs_01_1070__aa15986c343f14bde806a6b7a48d053f2">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ol>
+</p></li></ol><ol start="8" id="mrs_01_1070__o1393fc75fc8544849f7284b866c0a0ea"><li id="mrs_01_1070__lb11cce026dd74ec0ac87a5f6ec04d6c1"><span>Verify log transmission.</span><p><ol type="a" id="mrs_01_1070__od82843c3cf0942dd80e1fe937bb9901f"><li id="mrs_01_1070__l7e6c8d5fc4b24d85aa7c490dc77e7928">Log in to FusionInsight Manager as a user who has the management permission on HDFS. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. Choose <strong id="mrs_01_1070__b4762142119512">Cluster &gt; </strong><em id="mrs_01_1070__i137681521759">Name of the desired cluster</em> &gt; <strong id="mrs_01_1070__b876962116518">Services</strong> &gt; <strong id="mrs_01_1070__b1876913211458">HDFS</strong>, click the HDFS WebUI link to go to the HDFS WebUI, and choose <strong id="mrs_01_1070__b48404013412">Utilities</strong> &gt; <strong id="mrs_01_1070__b172129435347">Browse the file system</strong>.</li><li id="mrs_01_1070__l622578e9279e4f1f82d87b701f686ab7">Check whether the data is generated in the <strong id="mrs_01_1070__b1371251670104952">/flume/test</strong> directory on the HDFS.</li></ol>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1068.html">Encrypted Transmission</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1071.html b/docs/mrs/component-operation-guide/mrs_01_1071.html
new file mode 100644
index 000000000..09de30207
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1071.html
@@ -0,0 +1,25 @@
+<a name="mrs_01_1071"></a><a name="mrs_01_1071"></a>
+
+<h1 class="topictitle1">Connecting Flume to Kafka in Security Mode</h1>
+<div id="body1590374670980"><div class="section" id="mrs_01_1071__section118041730183910"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1071__p9709853203911">This section describes how to connect to Kafka using the Flume client in security mode.</p>
+<p id="mrs_01_1071__p44851455145513">This section applies to MRS 3.<em id="mrs_01_1071__i41449140742246">x</em> or later.</p>
+</div>
+<div class="section" id="mrs_01_1071__section323012579385"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1071__ol233532210497"><li id="mrs_01_1071__li1733512219493"><span>Create a <strong id="mrs_01_1071__b115743271542246">jaas.conf</strong> file and save it to <strong id="mrs_01_1071__b14147301242246">${</strong><em id="mrs_01_1071__i84811857742246">Flume client installation directory</em><strong id="mrs_01_1071__b66522575842246">} /conf</strong>. The content of the <strong id="mrs_01_1071__b19051782042246">jaas.conf</strong> file is as follows:</span><p><pre class="screen" id="mrs_01_1071__screen185662027125014">KafkaClient {
+com.sun.security.auth.module.Krb5LoginModule required
+useKeyTab=true
+keyTab="<strong id="mrs_01_1071__b19566202715504">/opt/test/conf/user.keytab</strong>"
+principal="<strong id="mrs_01_1071__b69461821105813">flume_hdfs@</strong><em id="mrs_01_1071__i16771222155811">&lt;System domain name&gt;</em>"
+useTicketCache=false
+storeKey=true
+debug=true;
+ };</pre>
+<p id="mrs_01_1071__p1220119488420">Set <strong id="mrs_01_1071__b11076003342246">keyTab</strong> and <strong id="mrs_01_1071__b202755782042246">principal</strong> based on site requirements. The configured <strong id="mrs_01_1071__b39460068642246">principal</strong> must have certain kafka permissions.</p>
+</p></li><li id="mrs_01_1071__li6380193494919"><span>Configure services. Set the port number of <strong id="mrs_01_1071__b90706449742246">kafka.bootstrap.servers</strong> to <strong id="mrs_01_1071__b14632465042246">21007</strong>, and set <strong id="mrs_01_1071__b60579623242246">kafka.security.protocol</strong> to <strong id="mrs_01_1071__b109678081342246">SASL_PLAINTEXT</strong>.</span></li><li id="mrs_01_1071__li1267133920497"><span>If the domain name of the cluster where Kafka is located is changed, change the value of <em id="mrs_01_1071__i2143611742246">-Dkerberos.domain.name</em> in the <strong id="mrs_01_1071__b124202632442246">flume-env.sh</strong> file in <strong id="mrs_01_1071__b52403596742246">$</strong>{<em id="mrs_01_1071__i205740266042246">Flume client installation directory</em>}<strong id="mrs_01_1071__b113935388342246"> /conf/</strong> based on the site requirements.</span></li><li id="mrs_01_1071__li543924394912"><span>Upload the configured <strong id="mrs_01_1071__b144249962642246">properties.properties</strong> file to <strong id="mrs_01_1071__b89496333842246">$</strong>{<em id="mrs_01_1071__i45267693742246">Flume client installation directory</em>} <strong id="mrs_01_1071__b93461629742246">/conf</strong>.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0390.html">Using Flume</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1072.html b/docs/mrs/component-operation-guide/mrs_01_1072.html
new file mode 100644
index 000000000..50e104beb
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1072.html
@@ -0,0 +1,132 @@
+<a name="mrs_01_1072"></a><a name="mrs_01_1072"></a>
+
+<h1 class="topictitle1">Connecting Flume with Hive in Security Mode</h1>
+<div id="body1590374796582"><div class="section" id="mrs_01_1072__section118041730183910"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1072__p9709853203911">This section describes how to use Flume to connect to Hive (version 3.1.0) in the cluster.</p>
+<p id="mrs_01_1072__p12343995610">This section applies to MRS 3.<em id="mrs_01_1072__i203959839142438">x</em> or later.</p>
+</div>
+<div class="section" id="mrs_01_1072__section6843813416"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_1072__p4841789347">Flume and Hive have been correctly installed in the cluster. The services are running properly, and no alarm is reported.</p>
+</div>
+<div class="section" id="mrs_01_1072__section323012579385"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1072__ol233532210497"><li id="mrs_01_1072__li1733512219493"><span>Import the following JAR packages to the lib directory (client/server) of the Flume instance to be tested as user <strong id="mrs_01_1072__b589117921510">omm</strong>:</span><p><ul id="mrs_01_1072__ul0112161612159"><li id="mrs_01_1072__li16112181619156">antlr-2.7.7.jar</li><li id="mrs_01_1072__li1112116111520">antlr-runtime-3.4.jar</li><li id="mrs_01_1072__li13112616141512">calcite-core-1.16.0.jar</li><li id="mrs_01_1072__li14112101617157">hadoop-mapreduce-client-core-3.1.1.jar</li><li id="mrs_01_1072__li1311241616158">hive-beeline-3.1.0.jar</li><li id="mrs_01_1072__li111210161152">hive-cli-3.1.0.jar</li><li id="mrs_01_1072__li10112816101512">hive-common-3.1.0.jar</li><li id="mrs_01_1072__li71121916161516">hive-exec-3.1.0.jar</li><li id="mrs_01_1072__li7113516141518">hive-hcatalog-core-3.1.0.jar</li><li id="mrs_01_1072__li1811361631516">hive-hcatalog-pig-adapter-3.1.0.jar</li><li id="mrs_01_1072__li0113191691510">hive-hcatalog-server-extensions-3.1.0.jar</li><li id="mrs_01_1072__li1611341617153">hive-hcatalog-streaming-3.1.0.jar</li><li id="mrs_01_1072__li18113616161518">hive-metastore-3.1.0.jar</li><li id="mrs_01_1072__li811311612158">hive-service-3.1.0.jar</li><li id="mrs_01_1072__li111131716181510">libfb303-0.9.3.jar</li><li id="mrs_01_1072__li1611331610157">hadoop-plugins-1.0.jar</li></ul>
+<p id="mrs_01_1072__p1220119488420">You can obtain the JAR package from the Hive installation directory and restart the Flume process to ensure that the JAR package is loaded to the running environment.</p>
+</p></li><li id="mrs_01_1072__li17992112916476"><span>Set Hive configuration items.</span><p><p id="mrs_01_1072__p1938315410473">On FusionInsight Manager, choose <strong id="mrs_01_1072__b1656215425282">Cluster</strong> &gt; <em id="mrs_01_1072__i11642176442438">Name of the desired cluster</em> &gt; <strong id="mrs_01_1072__b3914747152819">Services</strong> &gt; <strong id="mrs_01_1072__b84281449192811">Hive</strong> &gt; <strong id="mrs_01_1072__b83461852172811">Configurations</strong> &gt; <strong id="mrs_01_1072__b19154123212297">All Configurations</strong> &gt; <strong id="mrs_01_1072__b1672513452911">HiveServer</strong> &gt; <strong id="mrs_01_1072__b99703372299">Customization</strong> &gt; <strong id="mrs_01_1072__b329054011296">hive.server.customized.configs</strong>.</p>
+<p id="mrs_01_1072__p1753434605110">Example configurations:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1072__table205761017182" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1072__row16577506188"><th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.3.2.2.2.3.1.3.1.1"><p id="mrs_01_1072__p657712011814">Name</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.3.2.2.2.3.1.3.1.2"><p id="mrs_01_1072__p95779016184">Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1072__row15771005181"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.2.2.3.1.3.1.1 "><p id="mrs_01_1072__p10999118192">hive.support.concurrency</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.2.2.3.1.3.1.2 "><p id="mrs_01_1072__p22074314914">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1072__row357780101818"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.2.2.3.1.3.1.1 "><p id="mrs_01_1072__p139781553121912">hive.exec.dynamic.partition.mode</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.2.2.3.1.3.1.2 "><p id="mrs_01_1072__p1520164314913">nonstrict</p>
+</td>
+</tr>
+<tr id="mrs_01_1072__row257714017188"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.2.2.3.1.3.1.1 "><p id="mrs_01_1072__p99791353111919">hive.txn.manager</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.2.2.3.1.3.1.2 "><p id="mrs_01_1072__p620043497">org.apache.hadoop.hive.ql.lockmgr.DbTxnManager</p>
+</td>
+</tr>
+<tr id="mrs_01_1072__row816712071815"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.2.2.3.1.3.1.1 "><p id="mrs_01_1072__p9980195341919">hive.compactor.initiator.on</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.2.2.3.1.3.1.2 "><p id="mrs_01_1072__p32014431495">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1072__row8274543141911"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.2.2.3.1.3.1.1 "><p id="mrs_01_1072__p898035317193">hive.compactor.worker.threads</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.2.2.3.1.3.1.2 "><p id="mrs_01_1072__p727517433195">1</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_1072__li4650154320255"><span>Prepare the system user <strong id="mrs_01_1072__b63116953942438">flume_hive</strong> who has the supergroup and Hive permissions, install the client, and create the required Hive table.</span><p><div class="p" id="mrs_01_1072__p18637144417254">Example:<ol type="a" id="mrs_01_1072__ol16976145615014"><li id="mrs_01_1072__li1897695619016">The cluster client has been correctly installed. For example, the installation directory is <strong id="mrs_01_1072__b123480435542438">/opt/client</strong>.</li><li id="mrs_01_1072__li109763561602">Run the following command to authenticate the user:<p id="mrs_01_1072__p16648203110318"><a name="mrs_01_1072__li109763561602"></a><a name="li109763561602"></a><strong id="mrs_01_1072__b1762672413317">cd /opt/client</strong></p>
+<p id="mrs_01_1072__p38501534143110"><strong id="mrs_01_1072__b19640142453310">source bigdata_env</strong></p>
+<p id="mrs_01_1072__p7192113314317"><strong id="mrs_01_1072__b141031418165214">kinit flume_hive</strong></p>
+</li><li id="mrs_01_1072__li1997615614017">Run the <strong id="mrs_01_1072__b3152101425214">beeline</strong> command and run the following table creation statement:<pre class="screen" id="mrs_01_1072__screen134516138486">create table flume_multi_type_part(id string, msg string)
+partitioned by (country string, year_month string, day string)
+clustered by (id) into 5 buckets
+stored as orc TBLPROPERTIES('transactional'='true');</pre>
+</li><li id="mrs_01_1072__li1485019520332">Run the <strong id="mrs_01_1072__b28597699942438">select * from</strong> <em id="mrs_01_1072__i212905276842438">Table name</em><strong id="mrs_01_1072__b1010922702314">;</strong> command to query data in the table.<p id="mrs_01_1072__p12310155303310">In this case, the number of data records in the table is <strong id="mrs_01_1072__b81689822942438">0</strong>.</p>
+</li></ol>
+</div>
+</p></li><li id="mrs_01_1072__li6423111201"><span>Prepare related configuration files. Assume that the client installation package is stored in <strong id="mrs_01_1072__b91846479842438">/opt/FusionInsight_Cluster_1_Services_ClientConfig</strong>.</span><p><ol type="a" id="mrs_01_1072__ol158624331917"><li id="mrs_01_1072__li686218331417">Obtain the following files from the $<em id="mrs_01_1072__i71000670942438">Client decompression directory</em><strong id="mrs_01_1072__b134062243242438">/Hive/config</strong> directory:<ul id="mrs_01_1072__ul1044845518345"><li id="mrs_01_1072__li19448955193412">hivemetastore-site.xml</li><li id="mrs_01_1072__li16448165511343">hive-site.xml</li></ul>
+</li><li id="mrs_01_1072__li188633334119">Obtain the following files from the <strong id="mrs_01_1072__b2065313476391">$</strong><em id="mrs_01_1072__i173854258642438">Client decompression directory</em><strong id="mrs_01_1072__b139996416542438">/HDFS/config</strong> directory:<p id="mrs_01_1072__p1693615316245">core-site.xml</p>
+</li><li id="mrs_01_1072__li031247133718">Create a directory on the host where the Flume instance is started and save the prepared files to the created directory.<p id="mrs_01_1072__p1031515718376"><a name="mrs_01_1072__li031247133718"></a><a name="li031247133718"></a>Example: <span class="filepath" id="mrs_01_1072__filepath153158753713"><b>/opt/hivesink-conf/hive-site.xml</b></span>.</p>
+</li><li id="mrs_01_1072__li483763119384">Copy all property configurations in the <span class="parmname" id="mrs_01_1072__parmname20838103117385"><b>hivemetastore-site.xml</b></span> file to the <span class="filepath" id="mrs_01_1072__filepath1783823111382"><b>hive-site.xml</b></span> file and ensure that the configurations are placed before the original configurations.<p id="mrs_01_1072__p1114710321388">Data is loaded in sequence in Hive.</p>
+<div class="note" id="mrs_01_1072__note13426171654014"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1072__p1942641615402">Ensure that the Flume running user <strong id="mrs_01_1072__b106871424134018">omm</strong> has the read and write permissions on the directory where the configuration file is stored.</p>
+</div></div>
+</li></ol>
+</p></li><li id="mrs_01_1072__li1267133920497"><span>Observe the result.</span><p><p id="mrs_01_1072__p1130611382244">On the Hive client, run the <strong id="mrs_01_1072__b95438620142438">select * from</strong> <em id="mrs_01_1072__i56715251042438">Table name</em><strong id="mrs_01_1072__b377885713517">;</strong> command. Check whether the corresponding data has been written to the Hive table.</p>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_1072__section185081644133817"><h4 class="sectiontitle">Examples</h4><div class="p" id="mrs_01_1072__p3508124493820">Flume configuration example (SpoolDir--Mem--Hive):<pre class="screen" id="mrs_01_1072__screen2508164413383">server.sources = spool_source
+server.channels = mem_channel
+server.sinks = Hive_Sink
+
+#config the source
+server.sources.spool_source.type = spooldir
+server.sources.spool_source.spoolDir = /tmp/testflume
+server.sources.spool_source.montime =
+server.sources.spool_source.fileSuffix =.COMPLETED
+server.sources.spool_source.deletePolicy = never
+server.sources.spool_source.trackerDir =.flumespool
+server.sources.spool_source.ignorePattern = ^$
+server.sources.spool_source.batchSize = 20
+server.sources.spool_source.inputCharset =UTF-8
+server.sources.spool_source.selector.type = replicating
+server.sources.spool_source.fileHeader = false
+server.sources.spool_source.fileHeaderKey = file
+server.sources.spool_source.basenameHeaderKey= basename
+server.sources.spool_source.deserializer = LINE
+server.sources.spool_source.deserializer.maxBatchLine= 1
+server.sources.spool_source.deserializer.maxLineLength= 2048
+server.sources.spool_source.channels = mem_channel
+
+#config the channel
+server.channels.mem_channel.type = memory
+server.channels.mem_channel.capacity =10000
+server.channels.mem_channel.transactionCapacity= 2000
+server.channels.mem_channel.channelfullcount= 10
+server.channels.mem_channel.keep-alive = 3
+server.channels.mem_channel.byteCapacity =
+server.channels.mem_channel.byteCapacityBufferPercentage= 20
+
+#config the sink
+server.sinks.Hive_Sink.type = hive
+server.sinks.Hive_Sink.channel = mem_channel
+server.sinks.Hive_Sink.hive.metastore = thrift://${any MetaStore service IP address}:21088
+server.sinks.Hive_Sink.hive.hiveSite = /opt/hivesink-conf/hive-site.xml
+server.sinks.Hive_Sink.hive.coreSite = /opt/hivesink-conf/core-site.xml
+server.sinks.Hive_Sink.hive.metastoreSite = /opt/hivesink-conf/hivemeatastore-site.xml
+server.sinks.Hive_Sink.hive.database = default
+server.sinks.Hive_Sink.hive.table = flume_multi_type_part
+server.sinks.Hive_Sink.hive.partition = Tag,%Y-%m,%d
+server.sinks.Hive_Sink.hive.txnsPerBatchAsk= 100
+server.sinks.Hive_Sink.hive.autoCreatePartitions= true
+server.sinks.Hive_Sink.useLocalTimeStamp = true
+server.sinks.Hive_Sink.batchSize = 1000
+server.sinks.Hive_Sink.hive.kerberosPrincipal= super1
+server.sinks.Hive_Sink.hive.kerberosKeytab= /opt/mykeytab/user.keytab
+server.sinks.Hive_Sink.round = true
+server.sinks.Hive_Sink.roundValue = 10
+server.sinks.Hive_Sink.roundUnit = minute
+server.sinks.Hive_Sink.serializer = DELIMITED
+server.sinks.Hive_Sink.serializer.delimiter= ";"
+server.sinks.Hive_Sink.serializer.serdeSeparator= ';'
+server.sinks.Hive_Sink.serializer.fieldnames= id,msg
+</pre>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0390.html">Using Flume</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1073.html b/docs/mrs/component-operation-guide/mrs_01_1073.html
new file mode 100644
index 000000000..0322ca42b
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1073.html
@@ -0,0 +1,17 @@
+<a name="mrs_01_1073"></a><a name="mrs_01_1073"></a>
+
+<h1 class="topictitle1">Configuring the Flume Service Model</h1>
+<div id="body1590374796583"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1074.html">Overview</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1075.html">Service Model Configuration Guide</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0390.html">Using Flume</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1074.html b/docs/mrs/component-operation-guide/mrs_01_1074.html
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+<a name="mrs_01_1074"></a><a name="mrs_01_1074"></a>
+
+<h1 class="topictitle1">Overview</h1>
+<div id="body1590374796584"><p id="mrs_01_1074__p712492310251">This section applies to MRS 3.<em id="mrs_01_1074__i994243918533">x</em> or later.</p>
+<p id="mrs_01_1074__p5150174719504">Guide a reasonable Flume service configuration by providing performance differences between Flume common modules, to avoid a nonstandard overall service performance caused when a frontend Source and a backend Sink do not match in performance. </p>
+<p id="mrs_01_1074__p101501247175011">Only single channels are compared for description.</p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1073.html">Configuring the Flume Service Model</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1075"></a><a name="mrs_01_1075"></a>
+
+<h1 class="topictitle1">Service Model Configuration Guide</h1>
+<div id="body1590374796585"><p id="mrs_01_1075__p712492310251">This section applies to MRS 3.<em id="mrs_01_1075__i9832686092425">x</em> or later.</p>
+<p id="mrs_01_1075__p1355317218511">During Flume service configuration and module selection, the ultimate throughput of a sink must be greater than the maximum throughput of a source. Otherwise, in extreme load scenarios, the write speed of the source to a channel is greater than the read speed of sink from channel. Therefore, the channel is fully occupied due to frequent usage, and the performance is affected. </p>
+<p id="mrs_01_1075__p1455362111518">Avro Source and Avro Sink are usually used in pairs to transfer data between multiple Flume Agents. Therefore, Avro Source and Avro Sink do not become a performance bottleneck in general scenarios.</p>
+<div class="section" id="mrs_01_1075__section99901825204119"><h4 class="sectiontitle">Inter-Module Performance</h4><p id="mrs_01_1075__p1327577125619">Based on comparison between the limit performances of modules, Kafka Sink and HDFS Sink can meet the throughput requirements when the front-end is SpoolDir Source. However, HBase Sink could become performance bottlenecks due to the low write performances thereof. As a result, data is stacked in Channel. If you have to use HBase Sink or other sinks that are prone to become performance bottlenecks, you can use <strong id="mrs_01_1075__b13931073552425">Channel Selector</strong> or <strong id="mrs_01_1075__b4184336762425">Sink Group</strong> to meet performance requirements.</p>
+</div>
+<div class="section" id="mrs_01_1075__section955555654118"><h4 class="sectiontitle">Channel Selector</h4><p id="mrs_01_1075__p19548343568">A channel selector allows a source to connect to multiple channels. Data of the source can be distributed or copied by selecting different types of selectors. Currently, a channel selector provided by Flume can be a replicating channel selector or a multiplexing channel selector.</p>
+<p id="mrs_01_1075__p1654834185612">Replicating: indicates that the data of the source is synchronized to all channels.</p>
+<p id="mrs_01_1075__p954434115612">Multiplexing: indicates that based on the value of a specific field of the header of an event, a channel is selected to send the data. In this way, the data is distributed based on a service type.</p>
+<ul id="mrs_01_1075__ul99373619397"><li id="mrs_01_1075__li1937176153912">Replicating configuration example:<pre class="screen" id="mrs_01_1075__screen891347145815">client.sources = kafkasource
+client.channels = channel1 channel2
+client.sources.kafkasource.type = org.apache.flume.source.kafka.KafkaSource
+client.sources.kafkasource.kafka.topics = topic1,topic2
+client.sources.kafkasource.kafka.consumer.group.id = flume
+client.sources.kafkasource.kafka.bootstrap.servers = 10.69.112.108:21007
+client.sources.kafkasource.kafka.security.protocol = SASL_PLAINTEXT
+client.sources.kafkasource.batchDurationMillis = 1000
+client.sources.kafkasource.batchSize = 800
+client.sources.kafkasource.channels = channel1 c el2
+
+client.sources.kafkasource.selector.type = replicating
+client.sources.kafkasource.selector.optional = channel2</pre>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1075__table18828173675819" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters in the Replicating configuration example</caption><thead align="left"><tr id="mrs_01_1075__row188291436185812"><th align="left" class="cellrowborder" valign="top" width="33.44334433443344%" id="mcps1.3.5.5.1.2.2.4.1.1"><p id="mrs_01_1075__p163262675916">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.223322332233224%" id="mcps1.3.5.5.1.2.2.4.1.2"><p id="mrs_01_1075__p173266625917">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.5.5.1.2.2.4.1.3"><p id="mrs_01_1075__p11326186175911">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1075__row2829436115819"><td class="cellrowborder" valign="top" width="33.44334433443344%" headers="mcps1.3.5.5.1.2.2.4.1.1 "><p id="mrs_01_1075__p7326196135918">Selector.type</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.223322332233224%" headers="mcps1.3.5.5.1.2.2.4.1.2 "><p id="mrs_01_1075__p1732610675911">replicating</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.5.1.2.2.4.1.3 "><p id="mrs_01_1075__p5326186155919">Selector type. Set this parameter to <strong id="mrs_01_1075__b172865417313">replicating</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1075__row168291536145814"><td class="cellrowborder" valign="top" width="33.44334433443344%" headers="mcps1.3.5.5.1.2.2.4.1.1 "><p id="mrs_01_1075__p15326106195918">Selector.optional</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.223322332233224%" headers="mcps1.3.5.5.1.2.2.4.1.2 "><p id="mrs_01_1075__p143269615594">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.5.1.2.2.4.1.3 "><p id="mrs_01_1075__p153261966594">Optional channel. Configure this parameter as a list.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1075__li5763824205912">Multiplexing configuration example:<pre class="screen" id="mrs_01_1075__screen33684341737">client.sources = kafkasource
+client.channels = channel1 channel2
+client.sources.kafkasource.type = org.apache.flume.source.kafka.KafkaSource
+client.sources.kafkasource.kafka.topics = topic1,topic2
+client.sources.kafkasource.kafka.consumer.group.id = flume
+client.sources.kafkasource.kafka.bootstrap.servers = 10.69.112.108:21007
+client.sources.kafkasource.kafka.security.protocol = SASL_PLAINTEXT
+client.sources.kafkasource.batchDurationMillis = 1000
+client.sources.kafkasource.batchSize = 800
+client.sources.kafkasource.channels = channel1 channel2
+
+client.sources.kafkasource.selector.type = multiplexing
+client.sources.kafkasource.selector.header = myheader
+client.sources.kafkasource.selector.mapping.topic1 = channel1
+client.sources.kafkasource.selector.mapping.topic2 = channel2
+client.sources.kafkasource.selector.default = channel1</pre>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1075__table1927315151819" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Parameters in the Multiplexing configuration example</caption><thead align="left"><tr id="mrs_01_1075__row15275101516114"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.5.5.2.2.2.4.1.1"><p id="mrs_01_1075__p20903172414116">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.5.5.2.2.2.4.1.2"><p id="mrs_01_1075__p179034241014">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.5.5.2.2.2.4.1.3"><p id="mrs_01_1075__p1690312242110">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1075__row1827520151813"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.5.2.2.2.4.1.1 "><p id="mrs_01_1075__p1903824818">Selector.type</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.5.2.2.2.4.1.2 "><p id="mrs_01_1075__p390302419117">replicating</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.5.2.2.2.4.1.3 "><p id="mrs_01_1075__p49031224915">Selector type. Set this parameter to <strong id="mrs_01_1075__b164016372610">multiplexing</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1075__row2027511152110"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.5.2.2.2.4.1.1 "><p id="mrs_01_1075__p14903524419">Selector.header</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.5.2.2.2.4.1.2 "><p id="mrs_01_1075__p10903122410117">Flume.selector.header</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.5.2.2.2.4.1.3 "><p id="mrs_01_1075__p890382415111">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1075__row42753152112"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.5.2.2.2.4.1.1 "><p id="mrs_01_1075__p189031624412">Selector.default</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.5.2.2.2.4.1.2 "><p id="mrs_01_1075__p1490342411118">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.5.2.2.2.4.1.3 "><p id="mrs_01_1075__p59034243119">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1075__row22756151313"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.5.2.2.2.4.1.1 "><p id="mrs_01_1075__p1490382415112">Selector.mapping.*</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.5.2.2.2.4.1.2 "><p id="mrs_01_1075__p2903224418">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.5.5.2.2.2.4.1.3 "><p id="mrs_01_1075__p10903122418119">-</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1075__p633479110">In a multiplexing selector example, select a field whose name is topic from the header of the event. When the value of the topic field in the header is topic1, send the event to a channel 1; or when the value of the topic field in the header is topic2, send the event to a channel 2.</p>
+<p id="mrs_01_1075__p12313477111">Selectors need to use a specific header of an event in a source to select a channel, and need to select a proper header based on a service scenario to distribute data.</p>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1075__section9444195524218"><h4 class="sectiontitle">SinkGroup</h4><p id="mrs_01_1075__p71731376412">When the performance of a backend single sink is insufficient, and high reliability or heterogeneous output is required, you can use a sink group to connect a specified channel to multiple sinks, thereby meeting use requirements. Currently, Flume provides two types of sink processors to manage sinks in a sink group. The types are load balancing and failover.</p>
+<p id="mrs_01_1075__p6173157647">Failover: Indicates that there is only one active sink in the sink group each time, and the other sinks are on standby and inactive. When the active sink becomes faulty, one of the inactive sinks is selected based on priorities to take over services, so as to ensure that data is not lost. This is used in high-reliability scenarios.</p>
+<p id="mrs_01_1075__p181731279418">Load balancing: Indicates that all sinks in the sink group are active. Each sink obtains data from the channel and processes the data. In addition, during running, loads of all sinks in the sink group are balanced. This is used in performance improvement scenarios.</p>
+<ul id="mrs_01_1075__ul11417290407"><li id="mrs_01_1075__li181421729154015">Load balancing configuration examples:<pre class="screen" id="mrs_01_1075__screen13491256841">client.sources = source1  
+client.sinks = sink1 sink2
+client.channels = channel1
+
+client.sinkgroups = g1
+client.sinkgroups.g1.sinks = sink1 sink2
+client.sinkgroups.g1.processor.type = load_balance
+client.sinkgroups.g1.processor.backoff = true
+client.sinkgroups.g1.processor.selector = random
+
+client.sinks.sink1.type = logger
+client.sinks.sink1.channel = channel1
+
+client.sinks.sink2.type = logger
+client.sinks.sink2.channel = channel1</pre>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1075__table885118321454" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Parameters of Load Balancing configuration examples</caption><thead align="left"><tr id="mrs_01_1075__row285103217512"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.6.5.1.2.2.4.1.1"><p id="mrs_01_1075__p17510104710517">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.6.5.1.2.2.4.1.2"><p id="mrs_01_1075__p1051010477515">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.6.5.1.2.2.4.1.3"><p id="mrs_01_1075__p35101847555">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1075__row10851103217518"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.5.1.2.2.4.1.1 "><p id="mrs_01_1075__p1351017471855">sinks</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.5.1.2.2.4.1.2 "><p id="mrs_01_1075__p551017475515">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.5.1.2.2.4.1.3 "><p id="mrs_01_1075__p1651013471458">Specifies the sink list of the sink group. Multiple sinks are separated by spaces.</p>
+</td>
+</tr>
+<tr id="mrs_01_1075__row1685119321059"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.5.1.2.2.4.1.1 "><p id="mrs_01_1075__p451034713518">processor.type</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.5.1.2.2.4.1.2 "><p id="mrs_01_1075__p65105471056">default</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.5.1.2.2.4.1.3 "><p id="mrs_01_1075__p95101447355">Specifies the type of a processor. Set this parameter to <strong id="mrs_01_1075__b2081910162071">load_balance</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1075__row5851133219517"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.5.1.2.2.4.1.1 "><p id="mrs_01_1075__p0510204714515">processor.backoff</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.5.1.2.2.4.1.2 "><p id="mrs_01_1075__p1510164715512">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.5.1.2.2.4.1.3 "><p id="mrs_01_1075__p35101347757">Indicates whether to back off failed sinks exponentially.</p>
+</td>
+</tr>
+<tr id="mrs_01_1075__row11851133210519"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.5.1.2.2.4.1.1 "><p id="mrs_01_1075__p6510847952">processor.selector</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.5.1.2.2.4.1.2 "><p id="mrs_01_1075__p20510174716511">round_robin</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.5.1.2.2.4.1.3 "><p id="mrs_01_1075__p451020476511">Specifies the selection mechanism. It must be round_robin, random, or a customized class that inherits AbstractSinkSelector.</p>
+</td>
+</tr>
+<tr id="mrs_01_1075__row585119321255"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.5.1.2.2.4.1.1 "><p id="mrs_01_1075__p2510347956">processor.selector.maxTimeOut</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.5.1.2.2.4.1.2 "><p id="mrs_01_1075__p19511164716512">30000</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.5.1.2.2.4.1.3 "><p id="mrs_01_1075__p351114718511">Specifies the time for masking a faulty sink. The default value is 30,000 ms.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1075__li8432113318012">Failover configuration examples:<pre class="screen" id="mrs_01_1075__screen799272911619">client.sources = source1       
+client.sinks = sink1 sink2
+client.channels = channel1
+
+client.sinkgroups = g1
+client.sinkgroups.g1.sinks = sink1 sink2
+client.sinkgroups.g1.processor.type = failover
+client.sinkgroups.g1.processor.priority.sink1 = 10
+client.sinkgroups.g1.processor.priority.sink2 = 5
+client.sinkgroups.g1.processor.maxpenalty = 10000
+
+client.sinks.sink1.type = logger
+client.sinks.sink1.channel = channel1
+
+client.sinks.sink2.type = logger
+client.sinks.sink2.channel = channel1</pre>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1075__table17756232718" frame="border" border="1" rules="all"><caption><b>Table 4 </b>Parameters in the <strong id="mrs_01_1075__b97372129372">failover</strong> configuration example</caption><thead align="left"><tr id="mrs_01_1075__row5757153173"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.6.5.2.2.2.4.1.1"><p id="mrs_01_1075__p199101851578">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.6.5.2.2.2.4.1.2"><p id="mrs_01_1075__p1891015878">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.6.5.2.2.2.4.1.3"><p id="mrs_01_1075__p091035274">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1075__row17757133870"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.5.2.2.2.4.1.1 "><p id="mrs_01_1075__p6910654719">sinks</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.5.2.2.2.4.1.2 "><p id="mrs_01_1075__p791014516717">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.5.2.2.2.4.1.3 "><p id="mrs_01_1075__p69101351876">Specifies the sink list of the sink group. Multiple sinks are separated by spaces.</p>
+</td>
+</tr>
+<tr id="mrs_01_1075__row275743876"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.5.2.2.2.4.1.1 "><p id="mrs_01_1075__p191013517712">processor.type</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.5.2.2.2.4.1.2 "><p id="mrs_01_1075__p1791055071">default</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.5.2.2.2.4.1.3 "><p id="mrs_01_1075__p10910658711">Specifies the type of a processor. Set this parameter to <strong id="mrs_01_1075__b8629417998">failover</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1075__row875715313714"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.5.2.2.2.4.1.1 "><p id="mrs_01_1075__p1591095371">processor.priority.&lt;sinkName&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.5.2.2.2.4.1.2 "><p id="mrs_01_1075__p6910451571">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.5.2.2.2.4.1.3 "><p id="mrs_01_1075__p7911853715">Priority. <strong id="mrs_01_1075__b155681542991">&lt;sinkName&gt;</strong> must be defined in description of sinks. A sink having a higher priority is activated earlier. A larger value indicates a higher priority. <strong id="mrs_01_1075__b14911951472">Note</strong>: If there are multiple sinks, their priorities must be different. Otherwise, only one of them takes effect.</p>
+</td>
+</tr>
+<tr id="mrs_01_1075__row775763773"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.5.2.2.2.4.1.1 "><p id="mrs_01_1075__p19911135176">processor.maxpenalty</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.5.2.2.2.4.1.2 "><p id="mrs_01_1075__p391119512714">30000</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.6.5.2.2.2.4.1.3 "><p id="mrs_01_1075__p491114516716">Specifies the maximum backoff time of failed sinks (unit: ms).</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1075__section565811218448"><h4 class="sectiontitle">Interceptors</h4><p id="mrs_01_1075__p61192039153019">The Flume interceptor supports modification or discarding of basic unit events during data transmission. You can specify the class name list of built-in interceptors in Flume or develop customized interceptors to modify or discard events. The following table lists the built-in interceptors in Flume. A complex example is used in this section. Other users can configure and use interceptions as required.</p>
+<div class="note" id="mrs_01_1075__note2475151393713"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1075__p1310553014117">1. The interceptor is used between the sources and channels of Flume. Most sources provide parameters for configuring interceptors. You can set the parameters as required.</p>
+<p id="mrs_01_1075__p347581315378">2. Flume allows multiple interceptors to be configured for a source. The interceptor names are separated by spaces.</p>
+<p id="mrs_01_1075__p1910224020377">3. The specified interceptor sequence is the order in which they are called.</p>
+<p id="mrs_01_1075__p11749104520570">4. The contents inserted by the interceptor in the header can be read and used in sink.</p>
+</div></div>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1075__table11297201311367" frame="border" border="1" rules="all"><caption><b>Table 5 </b>Types of built-in interceptors in Flume</caption><thead align="left"><tr id="mrs_01_1075__row1929751313361"><th align="left" class="cellrowborder" valign="top" width="26.77%" id="mcps1.3.7.4.2.3.1.1"><p id="mrs_01_1075__p102971013163614">Interceptor Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="73.22999999999999%" id="mcps1.3.7.4.2.3.1.2"><p id="mrs_01_1075__p14297121333611">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1075__row929731313366"><td class="cellrowborder" valign="top" width="26.77%" headers="mcps1.3.7.4.2.3.1.1 "><p id="mrs_01_1075__p11325203363817">Timestamp Interceptor</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.22999999999999%" headers="mcps1.3.7.4.2.3.1.2 "><p id="mrs_01_1075__p129701310369">The interceptor inserts a timestamp into the header of an event.</p>
+</td>
+</tr>
+<tr id="mrs_01_1075__row271663813814"><td class="cellrowborder" valign="top" width="26.77%" headers="mcps1.3.7.4.2.3.1.1 "><p id="mrs_01_1075__p1685149183913">Host Interceptor</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.22999999999999%" headers="mcps1.3.7.4.2.3.1.2 "><p id="mrs_01_1075__p77161938113811">The interceptor inserts the IP address or host name of the node where the agent is located into the Header of an event.</p>
+</td>
+</tr>
+<tr id="mrs_01_1075__row110694543816"><td class="cellrowborder" valign="top" width="26.77%" headers="mcps1.3.7.4.2.3.1.1 "><p id="mrs_01_1075__p5169182013914">Remove Header Interceptor</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.22999999999999%" headers="mcps1.3.7.4.2.3.1.2 "><p id="mrs_01_1075__p12106645113817">The interceptor discards the corresponding event based on the strings that matches the regular expression contained in the event header.</p>
+</td>
+</tr>
+<tr id="mrs_01_1075__row863885013813"><td class="cellrowborder" valign="top" width="26.77%" headers="mcps1.3.7.4.2.3.1.1 "><p id="mrs_01_1075__p1472513251397">UUID Interceptor</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.22999999999999%" headers="mcps1.3.7.4.2.3.1.2 "><p id="mrs_01_1075__p2638350173814">The interceptor generates a UUID string for the header of each event.</p>
+</td>
+</tr>
+<tr id="mrs_01_1075__row1228175593814"><td class="cellrowborder" valign="top" width="26.77%" headers="mcps1.3.7.4.2.3.1.1 "><p id="mrs_01_1075__p1122563719397">Search and Replace Interceptor</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.22999999999999%" headers="mcps1.3.7.4.2.3.1.2 "><p id="mrs_01_1075__p0281855143816">The interceptor provides a simple string-based search and replacement function based on Java regular expressions. The rule is the same as that of Java Matcher.replaceAll().</p>
+</td>
+</tr>
+<tr id="mrs_01_1075__row1388175943817"><td class="cellrowborder" valign="top" width="26.77%" headers="mcps1.3.7.4.2.3.1.1 "><p id="mrs_01_1075__p1267934510399">Regex Filtering Interceptor</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.22999999999999%" headers="mcps1.3.7.4.2.3.1.2 "><p id="mrs_01_1075__p11388859143815">The interceptor uses the body of an event as a text file and matches the configured regular expression to filter events. The provided regular expression can be used to exclude or include events.</p>
+</td>
+</tr>
+<tr id="mrs_01_1075__row1810025933919"><td class="cellrowborder" valign="top" width="26.77%" headers="mcps1.3.7.4.2.3.1.1 "><p id="mrs_01_1075__p85077019409">Regex Extractor Interceptor</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.22999999999999%" headers="mcps1.3.7.4.2.3.1.2 "><p id="mrs_01_1075__p1610075903913">The interceptor extracts content from the original events using a regular expression and adds the content to the header of events.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="p" id="mrs_01_1075__p35463519418"><strong id="mrs_01_1075__b15615978292425">Regex Filtering Interceptor</strong> is used as an example to describe how to use the interceptor. (For other types of interceptions, see the configuration provided on the official website.)
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1075__table103203422448" frame="border" border="1" rules="all"><caption><b>Table 6 </b>Parameter configuration for <strong id="mrs_01_1075__b19414279742425">Regex Filtering Interceptor</strong></caption><thead align="left"><tr id="mrs_01_1075__row11320174214449"><th align="left" class="cellrowborder" valign="top" width="33.3033303330333%" id="mcps1.3.7.5.2.2.4.1.1"><p id="mrs_01_1075__p1432113429447">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.36333633363336%" id="mcps1.3.7.5.2.2.4.1.2"><p id="mrs_01_1075__p193216428444">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.7.5.2.2.4.1.3"><p id="mrs_01_1075__p93211142124412">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1075__row2321104274414"><td class="cellrowborder" valign="top" width="33.3033303330333%" headers="mcps1.3.7.5.2.2.4.1.1 "><p id="mrs_01_1075__p33621741121810">type</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.36333633363336%" headers="mcps1.3.7.5.2.2.4.1.2 "><p id="mrs_01_1075__p113217422448">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.7.5.2.2.4.1.3 "><p id="mrs_01_1075__p1332111421442">Specifies the component type name. The value must be <strong id="mrs_01_1075__b16466114712425">regex_filter</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1075__row6321642104420"><td class="cellrowborder" valign="top" width="33.3033303330333%" headers="mcps1.3.7.5.2.2.4.1.1 "><p id="mrs_01_1075__p1321842154415">regex</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.36333633363336%" headers="mcps1.3.7.5.2.2.4.1.2 "><p id="mrs_01_1075__p16321942134414">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.7.5.2.2.4.1.3 "><p id="mrs_01_1075__p103211842114412">Specifies the regular expression used to match events.</p>
+</td>
+</tr>
+<tr id="mrs_01_1075__row103217427449"><td class="cellrowborder" valign="top" width="33.3033303330333%" headers="mcps1.3.7.5.2.2.4.1.1 "><p id="mrs_01_1075__p859104912429">excludeEvents</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.36333633363336%" headers="mcps1.3.7.5.2.2.4.1.2 "><p id="mrs_01_1075__p20591549124217">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.7.5.2.2.4.1.3 "><p id="mrs_01_1075__p4591249134212">By default, the matched events are collected. If this parameter is set to <strong id="mrs_01_1075__b4695847302425">true</strong>, the matched events are deleted and the unmatched events are retained.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="p" id="mrs_01_1075__p7816812271">Configuration example (netcat tcp is used as the source, and logger is used as the sink). After configuring the preceding parameters, run the <strong id="mrs_01_1075__b12274444772425">telnet</strong> <em id="mrs_01_1075__i19368108032425">Host name or IP address</em> <strong id="mrs_01_1075__b18472032802425">44444</strong> command on the host where the Linux operating system is run, and enter a string that complies with the regular expression and another does not comply with the regular expression. The log shows that only the matched string is transmitted.<pre class="screen" id="mrs_01_1075__screen1432254274412">#define the source, channel, sink
+server.sources = r1
+
+server.channels = c1
+server.sinks = k1
+
+#config the source
+server.sources.r1.type = netcat
+server.sources.r1.bind = ${<em id="mrs_01_1075__i8341846152715">Host IP address</em>}
+server.sources.r1.port = 44444
+server.sources.r1.interceptors= i1
+server.sources.r1.interceptors.i1.type= regex_filter
+server.sources.r1.interceptors.i1.regex= (flume)|(myflume)
+server.sources.r1.interceptors.i1.excludeEvents= false
+server.sources.r1.channels = c1
+
+#config the channel
+server.channels.c1.type = memory
+server.channels.c1.capacity = 1000
+server.channels.c1.transactionCapacity = 100
+#config the sink
+server.sinks.k1.type = logger
+server.sinks.k1.channel = c1</pre>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1073.html">Configuring the Flume Service Model</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1081"></a><a name="mrs_01_1081"></a>
+
+<h1 class="topictitle1">Introduction to Flume Logs</h1>
+<div id="body1590374796595"><div class="section" id="mrs_01_1081__s7c10a70635c744399005f0b474e3cc1f"><h4 class="sectiontitle">Log Description</h4><p id="mrs_01_1081__en-us_topic_0046736730_p7703550"><strong id="mrs_01_1081__b31431933133314">Log path</strong>: The default path of Flume log files is <strong id="mrs_01_1081__b22321829143417">/var/log/Bigdata/</strong><em id="mrs_01_1081__i19852103110345">Role name</em>.</p>
+<ul id="mrs_01_1081__en-us_topic_0046736730_ul20007789"><li id="mrs_01_1081__en-us_topic_0046736730_li45852376">FlumeServer: <strong id="mrs_01_1081__b1781133793416">/var/log/Bigdata/flume/flume</strong></li><li id="mrs_01_1081__en-us_topic_0046736730_li10018201">FlumeClient: <strong id="mrs_01_1081__b13805843123418">/var/log/Bigdata/flume-client-n/flume</strong></li><li id="mrs_01_1081__en-us_topic_0046736730_li23054945">MonitorServer: <strong id="mrs_01_1081__b124415483346">/var/log/Bigdata/flume/monitor</strong></li></ul>
+<p id="mrs_01_1081__en-us_topic_0046736730_p6167913"><strong id="mrs_01_1081__b10113191359">Log archive rule</strong>: The automatic Flume log compression function is enabled. By default, when the size of logs exceeds 50 MB , logs are automatically compressed into a log file named in the following format: <em id="mrs_01_1081__i1929658133619">&lt;Original log file name&gt;-&lt;yyyy-mm-dd_hh-mm-ss&gt;.[ID]</em><strong id="mrs_01_1081__b836673143716">.log.zip</strong>. A maximum of 20 latest compressed files are reserved. The number of compressed files can be configured on the Manager portal.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1081__en-us_topic_0046736730_table29838917" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Flume log list</caption><thead align="left"><tr id="mrs_01_1081__en-us_topic_0046736730_row9770605"><th align="left" class="cellrowborder" valign="top" width="29.592959295929592%" id="mcps1.3.1.5.2.4.1.1"><p id="mrs_01_1081__en-us_topic_0046736730_p53221504"><strong id="mrs_01_1081__b1054775773811">Type</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="35.713571357135706%" id="mcps1.3.1.5.2.4.1.2"><p id="mrs_01_1081__en-us_topic_0046736730_p9553720"><strong id="mrs_01_1081__b683845910384">Name</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="34.69346934693469%" id="mcps1.3.1.5.2.4.1.3"><p id="mrs_01_1081__en-us_topic_0046736730_p52449071"><strong id="mrs_01_1081__b196340219397">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1081__en-us_topic_0046736730_row50429634"><td class="cellrowborder" rowspan="10" valign="top" width="29.592959295929592%" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1081__en-us_topic_0046736730_p58268531">Run logs</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.713571357135706%" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1081__en-us_topic_0046736730_p22130602">/flume/flumeServer.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="34.69346934693469%" headers="mcps1.3.1.5.2.4.1.3 "><p id="mrs_01_1081__en-us_topic_0046736730_p47748300">Log file that records FlumeServer running environment information.</p>
+</td>
+</tr>
+<tr id="mrs_01_1081__en-us_topic_0046736730_row27081522"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1081__en-us_topic_0046736730_p46119650">/flume/install.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1081__en-us_topic_0046736730_p44704179">FlumeServer installation log file</p>
+</td>
+</tr>
+<tr id="mrs_01_1081__en-us_topic_0046736730_row66793295"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1081__en-us_topic_0046736730_p41547828">/flume/flumeServer-gc.log.<em id="mrs_01_1081__i894417454012">&lt;No.&gt;</em></p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1081__en-us_topic_0046736730_p9930893">GC log file of the FlumeServer process</p>
+</td>
+</tr>
+<tr id="mrs_01_1081__en-us_topic_0046736730_row22269177"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1081__en-us_topic_0046736730_p58972892">/flume/prestartDvietail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1081__en-us_topic_0046736730_p12074919">Work log file before the FlumeServer startup</p>
+</td>
+</tr>
+<tr id="mrs_01_1081__en-us_topic_0046736730_row41565411"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1081__en-us_topic_0046736730_p11355167">/flume/startDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1081__en-us_topic_0046736730_p47353302">Startup log file of the Flume process</p>
+</td>
+</tr>
+<tr id="mrs_01_1081__en-us_topic_0046736730_row23526540"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1081__en-us_topic_0046736730_p26601610">/flume/stopDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1081__en-us_topic_0046736730_p7246776">Shutdown log file of the Flume process</p>
+</td>
+</tr>
+<tr id="mrs_01_1081__en-us_topic_0046736730_row65220984"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1081__en-us_topic_0046736730_p48408370">/monitor/monitorServer.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1081__en-us_topic_0046736730_p28763888">Log file that records MonitorServer running environment information</p>
+</td>
+</tr>
+<tr id="mrs_01_1081__en-us_topic_0046736730_row57548404"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1081__en-us_topic_0046736730_p30909172">/monitor/startDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1081__en-us_topic_0046736730_p20615021">Startup log file of the MonitorServer process</p>
+</td>
+</tr>
+<tr id="mrs_01_1081__en-us_topic_0046736730_row51317462"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1081__en-us_topic_0046736730_p63073718">/monitor/stopDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1081__en-us_topic_0046736730_p8697506">Shutdown log file of the MonitorServer process</p>
+</td>
+</tr>
+<tr id="mrs_01_1081__en-us_topic_0046736730_row11168697"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1081__en-us_topic_0046736730_p32249251">function.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1081__en-us_topic_0046736730_p62052558">External function invoking log file</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1081__section1744547204712"><h4 class="sectiontitle">Log Level</h4><p id="mrs_01_1081__en-us_topic_0046736730_p60201314"><a href="#mrs_01_1081__tc09b739e3eb34797a6da936a37654e97">Table 2</a> describes the log levels supported by Flume.</p>
+<p id="mrs_01_1081__en-us_topic_0046736730_p44468229">Levels of run logs are FATAL, ERROR, WARN, INFO, and DEBUG from the highest to the lowest priority. Run logs of equal or higher levels are recorded. The higher the specified log level, the fewer the logs recorded.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1081__tc09b739e3eb34797a6da936a37654e97"></a><a name="tc09b739e3eb34797a6da936a37654e97"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1081__tc09b739e3eb34797a6da936a37654e97" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Log level</caption><thead align="left"><tr id="mrs_01_1081__en-us_topic_0046736730_row63443418"><th align="left" class="cellrowborder" valign="top" width="33.333333333333336%" id="mcps1.3.2.4.2.4.1.1"><p id="mrs_01_1081__en-us_topic_0046736730_p38643240"><strong id="mrs_01_1081__b1597183554812">Type</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.333333333333336%" id="mcps1.3.2.4.2.4.1.2"><p id="mrs_01_1081__en-us_topic_0046736730_p52308663"><strong id="mrs_01_1081__b13832339164811">Level</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.333333333333336%" id="mcps1.3.2.4.2.4.1.3"><p id="mrs_01_1081__en-us_topic_0046736730_p15180599"><strong id="mrs_01_1081__b543683815484">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1081__row9239421124812"><td class="cellrowborder" rowspan="5" valign="top" width="33.333333333333336%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_1081__p4240192119486">Run log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_1081__p19240021134811">FATAL</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_1081__p11240142113485">Logs of this level record critical error information about system running.</p>
+</td>
+</tr>
+<tr id="mrs_01_1081__en-us_topic_0046736730_row60803124"><td class="cellrowborder" valign="top" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_1081__en-us_topic_0046736730_p34212241">ERROR</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_1081__en-us_topic_0046736730_p19728122">Logs of this level record error information about system running.</p>
+</td>
+</tr>
+<tr id="mrs_01_1081__en-us_topic_0046736730_row43335374"><td class="cellrowborder" valign="top" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_1081__en-us_topic_0046736730_p20504385">WARN</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_1081__en-us_topic_0046736730_p50242460">Logs of this level record exception information about the current event processing.</p>
+</td>
+</tr>
+<tr id="mrs_01_1081__en-us_topic_0046736730_row49528960"><td class="cellrowborder" valign="top" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_1081__en-us_topic_0046736730_p52422860">INFO</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_1081__en-us_topic_0046736730_p18393235">Logs of this level record normal running status information about the system and events.</p>
+</td>
+</tr>
+<tr id="mrs_01_1081__en-us_topic_0046736730_row31321393"><td class="cellrowborder" valign="top" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_1081__en-us_topic_0046736730_p54004927">DEBUG</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_1081__en-us_topic_0046736730_p12322941">Logs of this level record the system information and system debugging information.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1081__en-us_topic_0046736730_p43797605">To modify log levels, perform the following operations:</p>
+<ol id="mrs_01_1081__ol2049469418545"><li id="mrs_01_1081__li4027424618545"><span>Go to the <strong id="mrs_01_1081__b139326477334">All Configurations</strong> page of Flume by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</span></li><li id="mrs_01_1081__li2692390118545"><span>On the menu bar on the left, select the log menu of the target role.</span></li><li id="mrs_01_1081__li4098852518545"><span>Select a desired log level.</span></li><li id="mrs_01_1081__li1719026918545"><span>Save the configuration. In the displayed dialog box, click <strong id="mrs_01_1081__b145575133419">OK</strong> to make the configurations take effect.</span></li></ol>
+<div class="note" id="mrs_01_1081__note199281245114918"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1081__p1292912455494">The configurations take effect immediately without the need to restart the service.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1081__s70eeb581418c4885b24bf52a5037ed2a"><h4 class="sectiontitle">Log Format</h4><p id="mrs_01_1081__en-us_topic_0046736730_p51681963">The following table lists the Flume log formats.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1081__en-us_topic_0046736730_table62484483" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Log format</caption><thead align="left"><tr id="mrs_01_1081__en-us_topic_0046736730_row6057523"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.3.2.4.1.1"><p id="mrs_01_1081__en-us_topic_0046736730_p20897367"><strong id="mrs_01_1081__b16314153619515">Type</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.3.2.4.1.2"><p id="mrs_01_1081__en-us_topic_0046736730_p468450"><strong id="mrs_01_1081__b8769539195115">Format</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.3.2.4.1.3"><p id="mrs_01_1081__en-us_topic_0046736730_p5956164"><strong id="mrs_01_1081__b13900154715116">Example</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1081__en-us_topic_0046736730_row47076455"><td class="cellrowborder" rowspan="2" valign="top" width="33.33333333333333%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1081__en-us_topic_0046736730_p55096476">Run logs</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1081__en-us_topic_0046736730_p33629549">&lt;<em id="mrs_01_1081__i7488855215">yyyy-MM-dd HH:mm:ss,SSS</em>&gt;|&lt;<em id="mrs_01_1081__i65468115217">Log level</em>&gt;|&lt;<em id="mrs_01_1081__i145428175220">Name of the thread that generates the log</em>&gt;|&lt;<em id="mrs_01_1081__i195513814524">Message in the log</em>&gt;|&lt;<em id="mrs_01_1081__i1455086522">Location where the log event occurs</em>&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1081__en-us_topic_0046736730_p39638980">2014-12-12 11:54:57,316 | INFO | [main] | log4j dynamic load is start. |  org.apache.flume.tools.LogDynamicLoad.start(LogDynamicLoad.java:59)</p>
+</td>
+</tr>
+<tr id="mrs_01_1081__en-us_topic_0046736730_row21206500"><td class="cellrowborder" valign="top" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1081__en-us_topic_0046736730_p40004924">&lt;<em id="mrs_01_1081__i74183315218">yyyy-MM-dd HH:mm:ss,SSS</em>&gt;&lt;<em id="mrs_01_1081__i12373195015219">Username</em>&gt;&lt;<em id="mrs_01_1081__i97533541527">User IP</em>&gt;&lt;<em id="mrs_01_1081__i6862173205320">Time</em>&gt;&lt;<em id="mrs_01_1081__i71281185312">Operation</em>&gt;&lt;<em id="mrs_01_1081__i14362201535312">Resource</em>&gt;&lt;<em id="mrs_01_1081__i1813741915316">Result</em>&gt;&lt;<em id="mrs_01_1081__i9649152245314">Detail&gt;</em></p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1081__en-us_topic_0046736730_p19173388">2014-12-12 23:04:16,572 | INFO | [SinkRunner-PollingRunner-DefaultSinkProcessor] |  SRCIP=null OPERATION=close</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0390.html">Using Flume</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1082.html b/docs/mrs/component-operation-guide/mrs_01_1082.html
new file mode 100644
index 000000000..1e516b4dc
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1082.html
@@ -0,0 +1,28 @@
+<a name="mrs_01_1082"></a><a name="mrs_01_1082"></a>
+
+<h1 class="topictitle1">Flume Client Cgroup Usage Guide</h1>
+<div id="body1590647392457"><div class="section" id="mrs_01_1082__section0523550114720"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1082__p286914163376">This section describes how to join and log out of a cgroup, query the cgroup status, and change the cgroup CPU threshold.</p>
+<p id="mrs_01_1082__p712492310251">This section applies to MRS 3.<em id="mrs_01_1082__i1178614455359">x</em> or later.</p>
+</div>
+<div class="section" id="mrs_01_1082__section453314110489"><h4 class="sectiontitle">Procedure</h4><ul id="mrs_01_1082__ul1075520295418"><li id="mrs_01_1082__li13755182911413"><strong id="mrs_01_1082__b895220487352">Join Cgroup</strong><p id="mrs_01_1082__p3611735566">Assume that the Flume client installation path is <strong id="mrs_01_1082__b1719965220359">/opt/FlumeClient</strong>, and the cgroup CPU threshold is 50%. Run the following command to join a cgroup:</p>
+<p id="mrs_01_1082__p3611735560"><strong id="mrs_01_1082__b1461230568">cd /opt/FlumeClient/fusioninsight-flume-1.9.0/bin</strong></p>
+<p id="mrs_01_1082__p176123135615"><strong id="mrs_01_1082__b14611038565">./flume-manage.sh cgroup join 50</strong></p>
+<div class="note" id="mrs_01_1082__note171621611583"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1082__ul6315416145810"><li id="mrs_01_1082__li56516113314">This command can be used to join a cgroup and change the cgroup CPU threshold.</li><li id="mrs_01_1082__li23957211585">The value of the CPU threshold of a cgroup ranges from 1 to 100 x <em id="mrs_01_1082__i1378315812366">N</em>. <em id="mrs_01_1082__i16514181183715">N</em> indicates the number of CPU cores.</li></ul>
+</div></div>
+</li><li id="mrs_01_1082__li1996755111559"><strong id="mrs_01_1082__b9966161015373">Check Cgroup status</strong><p id="mrs_01_1082__p0484136185612">Assume that the Flume client installation path is <strong id="mrs_01_1082__b13959346143710">/opt/FlumeClient</strong>. Run the following commands to query the cgroup status:</p>
+<p id="mrs_01_1082__p15268144613560"><strong id="mrs_01_1082__b318817019574">cd /opt/FlumeClient/fusioninsight-flume-1.9.0/bin</strong></p>
+<p id="mrs_01_1082__p07966014577"><strong id="mrs_01_1082__b3881198135719">./flume-manage.sh cgroup status</strong></p>
+</li><li id="mrs_01_1082__li8611437569"><strong id="mrs_01_1082__b415418522376">Exit Cgroup</strong><p id="mrs_01_1082__p6423124216591">Assume that the Flume client installation path is <strong id="mrs_01_1082__b111351619103819">/opt/FlumeClient</strong>. Run the following commands to exit cgroup:</p>
+<p id="mrs_01_1082__p194311441155911"><strong id="mrs_01_1082__b1343114125912">cd /opt/FlumeClient/fusioninsight-flume-1.9.0/bin</strong></p>
+<p id="mrs_01_1082__p64313411595"><strong id="mrs_01_1082__b18431134145917">./flume-manage.sh cgroup exit</strong></p>
+<div class="note" id="mrs_01_1082__note155071421142718"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1082__ul224913274276"><li id="mrs_01_1082__li16249132714275">After the client is installed, the default cgroup is automatically created. If the <strong id="mrs_01_1082__b0105926163811">-s</strong> parameter is not configured during client installation, the default value <strong id="mrs_01_1082__b610972613385">-1</strong> is used. The default value indicates that the agent process is not restricted by the CPU usage.</li><li id="mrs_01_1082__li5761228173217">Joining or exiting a cgroup does not affect the agent process. Even if the agent process is not started, the joining or exiting operation can be performed successfully, and the operation will take effect after the next startup of the agent process.</li><li id="mrs_01_1082__li1661918254486">After the client is uninstalled, the cgroups created during the client installation are automatically deleted.</li></ul>
+</div></div>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0390.html">Using Flume</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1083.html b/docs/mrs/component-operation-guide/mrs_01_1083.html
new file mode 100644
index 000000000..212f885ac
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+++ b/docs/mrs/component-operation-guide/mrs_01_1083.html
@@ -0,0 +1,27 @@
+<a name="mrs_01_1083"></a><a name="mrs_01_1083"></a>
+
+<h1 class="topictitle1">Secondary Development Guide for Flume Third-Party Plug-ins</h1>
+<div id="body1590647393118"><div class="section" id="mrs_01_1083__section115355210407"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1083__p11747835184120">This section describes how to perform secondary development for third-party plug-ins.</p>
+<p id="mrs_01_1083__p712492310251">This section applies to MRS 3.<em id="mrs_01_1083__i170841073910">x</em> or later.</p>
+</div>
+<div class="section" id="mrs_01_1083__section0795182014111"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1083__ul161216141855"><li id="mrs_01_1083__li1361216141518">You have obtained the third-party JAR package.</li></ul>
+<ul id="mrs_01_1083__ul1762919261554"><li id="mrs_01_1083__li76291726153">You have installed Flume server or client.</li></ul>
+</div>
+<div class="section" id="mrs_01_1083__section063194035915"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1083__ol148204044416"><li id="mrs_01_1083__li1048174014417"><span>Compress the self-developed code into a JAR package.</span></li><li id="mrs_01_1083__li675847142313"><span>Create a directory for the plug-in.</span><p><ol type="a" id="mrs_01_1083__ol5658195102717"><li id="mrs_01_1083__li136581454276">Access the <strong id="mrs_01_1083__b396318267394">$FLUME_HOME/plugins.d</strong> path and run the following command to create a directory:<p id="mrs_01_1083__p68573589261"><strong id="mrs_01_1083__b249471655717">mkdir thirdPlugin</strong></p>
+<p id="mrs_01_1083__p1076510243272"><strong id="mrs_01_1083__b8421910732">cd thirdPlugin</strong></p>
+<p id="mrs_01_1083__p131678352272"><strong id="mrs_01_1083__b58115106316">mkdir lib libext</strong> <strong id="mrs_01_1083__b761233611109">native</strong></p>
+<p id="mrs_01_1083__p3849125263312">The command output is displayed as follows:</p>
+<p id="mrs_01_1083__p9481568612"><span><img id="mrs_01_1083__image133081673619" src="en-us_image_0000001388527202.png"></span></p>
+</li><li id="mrs_01_1083__li20955115172716">Place the third-party JAR package in the <strong id="mrs_01_1083__b6233635163918">$FLUME_HOME/plugins.d/thirdPlugin/lib</strong> directory. If the JAR package depends on other JAR packages, place the depended JAR packages to the <strong id="mrs_01_1083__b8239335143913">$FLUME_HOME/ plugins.d/ thirdPlugin/libext</strong> directory, and place the local library files in <strong id="mrs_01_1083__b723953583911">$FLUME_HOME/ plugins.d/ thirdPlugin/native</strong>.</li></ol>
+</p></li><li id="mrs_01_1083__li856315234418"><span>Configure the <strong id="mrs_01_1083__b1088940193912">properties.properties</strong> file in <strong id="mrs_01_1083__b10931740123919">$FLUME_HOME/conf/</strong>.</span><p><p id="mrs_01_1083__p4683122524017">For details about how to set parameters in the <strong id="mrs_01_1083__b26561541113912">properties.properties</strong> file, see the parameter list in the <strong id="mrs_01_1083__b1365724114393">properties.properties</strong> file in the corresponding typical scenario <a href="mrs_01_1059.html">Non-Encrypted Transmission</a> and <a href="mrs_01_1068.html">Encrypted Transmission</a>.</p>
+<div class="note" id="mrs_01_1083__note9613172773810"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1083__ul199731715141211"><li id="mrs_01_1083__li1297491518122"><strong id="mrs_01_1083__b15380164712395">$FLUME_HOME</strong> indicates the Flume installation path. Set this parameter based on the site requirements (server or client) when configuring third-party plug-ins.</li><li id="mrs_01_1083__li963153531211"><strong id="mrs_01_1083__b14214104194018">thirdPlugin</strong> is the name of the third-party plugin.</li></ul>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0390.html">Using Flume</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1084.html b/docs/mrs/component-operation-guide/mrs_01_1084.html
new file mode 100644
index 000000000..bc920c81d
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1084.html
@@ -0,0 +1,55 @@
+<a name="mrs_01_1084"></a><a name="mrs_01_1084"></a>
+
+<h1 class="topictitle1">Using Loader from Scratch</h1>
+<div id="body1590118474320"><p id="mrs_01_1084__p8060118">You can use Loader to import data from the SFTP server to HDFS.</p>
+<p id="mrs_01_1084__p174796143610">This section applies to MRS clusters earlier than 3.<em id="mrs_01_1084__i3172144114616">x</em>.</p>
+<div class="section" id="mrs_01_1084__sb8fe6f0415124936bb9a7810db345b17"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1084__u77b44b62f4094567bab90cb33acea37d"><li id="mrs_01_1084__l3da0b33cd6d647379b1ae998f71758af">You have prepared service data.</li><li id="mrs_01_1084__l8719dce3c103490ca6b2589ab48280fe">You have created an analysis cluster.</li></ul>
+</div>
+<div class="section" id="mrs_01_1084__section59245620202"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1084__ol18351433112214"><li id="mrs_01_1084__lb978fb6411794f79bba2776dab66b6b1"><span>Access the Loader page.</span><p><ol type="a" id="mrs_01_1084__o0ccdf6e190ba4491b87c2bb3d6a6e8a2"><li id="mrs_01_1084__li13806122116487">Access the cluster details page.<ul id="mrs_01_1084__ul1692910323486"><li id="mrs_01_1084__li792916322486">For versions earlier than MRS 1.9.2, log in to MRS Manager and choose <strong id="mrs_01_1084__b1112018585159">Services</strong>.</li><li id="mrs_01_1084__li979413816488">For MRS 1.9.2 or later, click the cluster name on the MRS console and choose <strong id="mrs_01_1084__b91201555151514">Components</strong>.</li></ul>
+</li><li id="mrs_01_1084__le46c25d15b43451995993a826e4450f3">Choose <span class="menucascade" id="mrs_01_1084__menucascade3961175912"><b><span class="uicontrol" id="mrs_01_1084__uicontrol295525713">Hue</span></b></span>. In <span class="parmname" id="mrs_01_1084__parmname2096112515119"><b>Hue Web UI</b></span> of <span class="parmname" id="mrs_01_1084__parmname119612051116"><b>Hue Summary</b></span>, click <span class="uicontrol" id="mrs_01_1084__uicontrol696214510115"><b>Hue (Active)</b></span>. The Hue web UI is displayed.</li><li id="mrs_01_1084__l4bcf37712197447da959a6ad3f59c175">Choose <span class="menucascade" id="mrs_01_1084__menucascade221113196111"><b><span class="uicontrol" id="mrs_01_1084__uicontrol521012194117">Data Browsers</span></b> &gt; <b><span class="uicontrol" id="mrs_01_1084__uicontrol4211101913110">Sqoop</span></b></span>.<p id="mrs_01_1084__a6335d720267a4071afc26d73e3896769">The job management tab page is displayed by default on the Loader page.</p>
+</li></ol>
+</p></li><li id="mrs_01_1084__li435034152811"><span>On the Loader page, click <span class="uicontrol" id="mrs_01_1084__uicontrol151611231023"><b>Manage links</b></span>.</span></li><li id="mrs_01_1084__li48883218306"><a name="mrs_01_1084__li48883218306"></a><a name="li48883218306"></a><span>Click <strong id="mrs_01_1084__b457814219410">New link</strong> and create <strong id="mrs_01_1084__b15711897415">sftp-connector</strong>. For details, see <a href="mrs_01_0402.html#mrs_01_0402__s73ada4f9d7e94890a00a2c7a90856ba6">File Server Link</a>.</span></li><li id="mrs_01_1084__li14723052103216"><a name="mrs_01_1084__li14723052103216"></a><a name="li14723052103216"></a><span>Click <strong id="mrs_01_1084__b45936511648">New link</strong>, enter the link name, select <strong id="mrs_01_1084__b10948858842">hdfs-connector</strong>, and create <strong id="mrs_01_1084__b1653277857">hdfs-connector</strong>.</span></li><li id="mrs_01_1084__li3406254193317"><span>On the Loader page, click <span class="uicontrol" id="mrs_01_1084__uicontrol4548091752"><b>Manage jobs</b></span>.</span></li><li id="mrs_01_1084__li18280558103513"><span>Click <span class="uicontrol" id="mrs_01_1084__uicontrol1667715791910"><b>New Job</b></span>.</span></li><li id="mrs_01_1084__l32f4b293c2284f68918c30de1710abaa"><span>In <span class="parmname" id="mrs_01_1084__parmname4971345956"><b>Connection</b></span>, set parameters.</span><p><ol type="a" id="mrs_01_1084__o4b938f480d724437bd0f9e8dcaa29cb7"><li id="mrs_01_1084__lad186a00ac4e4c4ab797e93d22a4f37c">In <span class="parmname" id="mrs_01_1084__parmname6841114916518"><b>Name</b></span>, enter a job name.</li><li id="mrs_01_1084__l923c7e3c49b144c285d5bc5d5348dd05">Select the source link created in <a href="#mrs_01_1084__li48883218306">3</a> and the target link created in <a href="#mrs_01_1084__li14723052103216">4</a>.</li></ol>
+</p></li><li id="mrs_01_1084__l19daa8ebd2f148c1be1ae12b8db9eac7"><span>In <span class="parmname" id="mrs_01_1084__parmname163621415068"><b>From</b></span>, configure the job of the source link.</span><p><p id="mrs_01_1084__a8283878f4e024b1bb7b122f5dac47007">For details, see <a href="mrs_01_0404.html#mrs_01_0404__s033d5edc10164032b9ea23d01081beae">ftp-connector or sftp-connector</a>.</p>
+</p></li><li id="mrs_01_1084__l09207ca5a8474297a6306ecb316f8676"><span>In <span class="parmname" id="mrs_01_1084__parmname19494527262"><b>To</b></span>, configure the job of the target link.</span><p><p id="mrs_01_1084__a5210f2c81ade43798514a3173de5f763">For details, see <a href="mrs_01_0405.html#mrs_01_0405__s0e7a49c2520c498aa9e3d9fa84325e2e">hdfs-connector</a>.</p>
+</p></li><li id="mrs_01_1084__l8e55b33fad0b4b52b4919120d3ab7597"><span>In <span class="parmname" id="mrs_01_1084__parmname970319331797"><b>Task Config</b></span>, set job running parameters.</span><p>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1084__t0fc7f46bfc1e45c6a9ec15a2e0907c24" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Loader job running properties</caption><thead align="left"><tr id="mrs_01_1084__r7c49faa79b48493a90977ee596e882bd"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.4.2.10.2.1.2.3.1.1"><p id="mrs_01_1084__a9f1a428c7a9b432398732eee31f87692"><strong id="mrs_01_1084__b18421038997">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="75%" id="mcps1.3.4.2.10.2.1.2.3.1.2"><p id="mrs_01_1084__a8d407e82957a4fb889207f43bfbd19f4"><strong id="mrs_01_1084__b8817183813917">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1084__r94d0a93bc93d49deb1dfb83600f6aec3"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.10.2.1.2.3.1.1 "><p id="mrs_01_1084__ae906b888e1c94499b04715dee7bec621">Extractors</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.4.2.10.2.1.2.3.1.2 "><p id="mrs_01_1084__a3df14bc0588d4da496d4f2123641c2e1">Number of Map tasks</p>
+</td>
+</tr>
+<tr id="mrs_01_1084__r9def9f914f9f423fbf3a7606f56f7cce"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.10.2.1.2.3.1.1 "><p id="mrs_01_1084__a685bd07b98584b28aaad79a89134c512">Loaders</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.4.2.10.2.1.2.3.1.2 "><p id="mrs_01_1084__a457a3a1a365e4f02bcfdc4f5d7c11752">Number of Reduce tasks</p>
+<p id="mrs_01_1084__a4b34f7012ed147c0be7d3776aaa99bf0">This parameter is displayed only when the destination field is HBase or Hive.</p>
+</td>
+</tr>
+<tr id="mrs_01_1084__rf000788d16f84f92a7524c7e6cff5d78"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.10.2.1.2.3.1.1 "><p id="mrs_01_1084__a03589028c19d4130b74d813df6eb65dc">Max. Error Records in a Single Shard</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.4.2.10.2.1.2.3.1.2 "><p id="mrs_01_1084__a618938189e934288bd632e3676737d5c">Error record threshold. If the number of error records of a single Map task exceeds the threshold, the task automatically stops and the obtained data is not returned.</p>
+<div class="note" id="mrs_01_1084__n07eb2914d4c046fcbcb93e4078142074"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1084__a511a2f0502ec4b63b3662653804c5bfa">Data is read and written in batches for <span class="parmname" id="mrs_01_1084__parmname168114354103"><b>MYSQL</b></span> and <span class="parmname" id="mrs_01_1084__parmname6686173512105"><b>MPPDB</b></span> of <span class="parmname" id="mrs_01_1084__parmname15686935121012"><b>generic-jdbc-connector</b></span> by default. Errors are recorded once at most for each batch of data.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1084__rcd5d2490f121446dbead7b732d0d3bee"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.10.2.1.2.3.1.1 "><p id="mrs_01_1084__a959d13ef9b0d4b9488bdf1cbba7f6e8c">Dirty Data Directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.4.2.10.2.1.2.3.1.2 "><p id="mrs_01_1084__a02a97de10a474db283417da620846d23">Directory for saving dirty data. If you leave this parameter blank, dirty data will not be saved.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_1084__lc08abc2a126340e89e08900a46fa1262"><span>Click <span class="uicontrol" id="mrs_01_1084__uicontrol419872019115"><b>Save</b></span>.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0400.html">Using Loader</a></div>
+</div>
+</div>
+
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@@ -0,0 +1,172 @@
+<a name="mrs_01_1165"></a><a name="mrs_01_1165"></a>
+
+<h1 class="topictitle1">Loader Log Overview</h1>
+<div id="body1590375614048"><div class="section" id="mrs_01_1165__s30704f356db045db9247c512443ec0bb"><h4 class="sectiontitle">Log Description</h4><p id="mrs_01_1165__en-us_topic_0046736740_p52455022"><strong id="mrs_01_1165__en-us_topic_0046736740_b2333158">Log path</strong>: The default storage path of Loader log files is <strong id="mrs_01_1165__b175731231947">/var/log/Bigdata/loader/Log category</strong>.</p>
+<ul id="mrs_01_1165__en-us_topic_0046736740_ul20998422"><li id="mrs_01_1165__en-us_topic_0046736740_li54768072">runlog: /var/log/Bigdata/loader/runlog (run logs)</li><li id="mrs_01_1165__en-us_topic_0046736740_li23150606">scriptlog: /var/log/Bigdata/loader/scriptlog/ (script execution logs)</li><li id="mrs_01_1165__en-us_topic_0046736740_li7028863">catalina: /var/log/Bigdata/loader/catalina (Tomcat startup and stop logs)</li><li id="mrs_01_1165__en-us_topic_0046736740_li63259774">audit: /var/log/Bigdata/loader/audit (audit logs)</li></ul>
+<p id="mrs_01_1165__en-us_topic_0046736740_p32467059"><strong id="mrs_01_1165__b078205515419">Log archive rule</strong>:</p>
+<p id="mrs_01_1165__en-us_topic_0046736740_p12586123">The automatic compression and archiving function are enabled for Loader run logs and audit logs. By default, when the size of a log file exceeds 10 MB, the log file is automatically compressed into a log file named in the following rule: <em id="mrs_01_1165__i18536184231219">&lt;Original log file name&gt;-&lt;yyyy-mm-dd_hh-mm-ss&gt;.[ID]</em><strong id="mrs_01_1165__b1553617429121">.log.zip</strong>. A maximum of 20 latest compressed files are reserved. The number of compressed files can be configured on the Manager portal.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1165__en-us_topic_0046736740_table46166248" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Loader log list</caption><thead align="left"><tr id="mrs_01_1165__en-us_topic_0046736740_row19677689"><th align="left" class="cellrowborder" valign="top" width="27.2020202020202%" id="mcps1.3.1.6.2.4.1.1"><p id="mrs_01_1165__en-us_topic_0046736740_p50388959"><strong id="mrs_01_1165__b196218412122">Log Type</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="39.464646464646464%" id="mcps1.3.1.6.2.4.1.2"><p id="mrs_01_1165__en-us_topic_0046736740_p25003187"><strong id="mrs_01_1165__b22507151218">Log File Name</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.333333333333336%" id="mcps1.3.1.6.2.4.1.3"><p id="mrs_01_1165__en-us_topic_0046736740_p40821806"><strong id="mrs_01_1165__b1227915811120">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1165__en-us_topic_0046736740_row29870484"><td class="cellrowborder" rowspan="3" valign="top" width="27.2020202020202%" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1165__en-us_topic_0046736740_p3590106">Run log</p>
+<p id="mrs_01_1165__p1616513414411"></p>
+<p id="mrs_01_1165__p133331514164610"></p>
+</td>
+<td class="cellrowborder" valign="top" width="39.464646464646464%" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1165__en-us_topic_0046736740_p22363169">loader.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.1.6.2.4.1.3 "><p id="mrs_01_1165__en-us_topic_0046736740_p66586256">Loader system log file that records most of the logs generated when the TelcoFS system is running.</p>
+</td>
+</tr>
+<tr id="mrs_01_1165__row21659417410"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1165__p2165841420">loader-omm-***-pid***-gc.log.*.current</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1165__p71651449412">Loader process GC log file</p>
+</td>
+</tr>
+<tr id="mrs_01_1165__row20333131484617"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1165__p11333191414617">sqoopInstanceCheck.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1165__p5333151418463">Loader instance health check log file</p>
+</td>
+</tr>
+<tr id="mrs_01_1165__en-us_topic_0046736740_row62405399"><td class="cellrowborder" valign="top" width="27.2020202020202%" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1165__en-us_topic_0046736740_p21672534">Audit log</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.464646464646464%" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1165__en-us_topic_0046736740_p10644818">default.audit</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.1.6.2.4.1.3 "><p id="mrs_01_1165__en-us_topic_0046736740_p56923890">Loader operation audit log file that records operations such as adding, deleting, modifying, and querying jobs and user login</p>
+</td>
+</tr>
+<tr id="mrs_01_1165__en-us_topic_0046736740_row42552963"><td class="cellrowborder" rowspan="6" valign="top" width="27.2020202020202%" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1165__en-us_topic_0046736740_p24237973">Tomcat log</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.464646464646464%" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1165__en-us_topic_0046736740_p17118783">catalina.out</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.1.6.2.4.1.3 "><p id="mrs_01_1165__en-us_topic_0046736740_p44444202">Tomcat run log file.</p>
+</td>
+</tr>
+<tr id="mrs_01_1165__en-us_topic_0046736740_row64453503"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1165__en-us_topic_0046736740_p53351278">catalina.  &lt;yyyy-mm-dd &gt;.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1165__en-us_topic_0046736740_p26486257">Tomcat run log file</p>
+</td>
+</tr>
+<tr id="mrs_01_1165__en-us_topic_0046736740_row37049726"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1165__en-us_topic_0046736740_p48237819">host-manager.  &lt;yyyy-mm-dd &gt;.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1165__en-us_topic_0046736740_p14949248">Tomcat run log file</p>
+</td>
+</tr>
+<tr id="mrs_01_1165__en-us_topic_0046736740_row325510"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1165__en-us_topic_0046736740_p26366315">localhost_access_log. &lt;yyyy-mm-dd &gt;.txt</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1165__en-us_topic_0046736740_p55296748">Tomcat run log file</p>
+</td>
+</tr>
+<tr id="mrs_01_1165__en-us_topic_0046736740_row27908691"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1165__en-us_topic_0046736740_p46011531">manager  &lt;yyyy-mm-dd &gt;.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1165__en-us_topic_0046736740_p35946515">Tomcat run log file</p>
+</td>
+</tr>
+<tr id="mrs_01_1165__en-us_topic_0046736740_row55083180"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1165__en-us_topic_0046736740_p32552624">localhost.  &lt;yyyy-mm-dd &gt;.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1165__en-us_topic_0046736740_p19516888">Tomcat run log file</p>
+</td>
+</tr>
+<tr id="mrs_01_1165__en-us_topic_0046736740_row41434269"><td class="cellrowborder" rowspan="3" valign="top" width="27.2020202020202%" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1165__en-us_topic_0046736740_p732663">Script log</p>
+<p id="mrs_01_1165__p40778606101615"></p>
+<p id="mrs_01_1165__p176781720989"></p>
+<p id="mrs_01_1165__p430717395811"></p>
+<p id="mrs_01_1165__p14299746194217"></p>
+<p id="mrs_01_1165__p11299346144211"></p>
+</td>
+<td class="cellrowborder" valign="top" width="39.464646464646464%" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1165__en-us_topic_0046736740_p59345770">postInstall.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.1.6.2.4.1.3 "><p id="mrs_01_1165__en-us_topic_0046736740_p42278045">Loader installation script log file</p>
+<p id="mrs_01_1165__en-us_topic_0046736740_p44958086">Log file generated during the execution of the Loader installation script (<strong id="mrs_01_1165__b1315495810494">postInstall.sh</strong>)</p>
+</td>
+</tr>
+<tr id="mrs_01_1165__en-us_topic_0046736740_row1969592"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1165__en-us_topic_0046736740_p25319268">preStart.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1165__en-us_topic_0046736740_p37594824">Pre-startup script log file of the Loader service During startup of the Loader service, a series of preparation operations are first performed (by executing <strong id="mrs_01_1165__b06551136165418">preStart.sh</strong>), such as generating the keytab file. This log file records information about these operations</p>
+</td>
+</tr>
+<tr id="mrs_01_1165__en-us_topic_0046736740_row2809103"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1165__en-us_topic_0046736740_p26210811">loader_ctl.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1165__en-us_topic_0046736740_p42700980">Log file generated when Loader executes the service start and stop script (<strong id="mrs_01_1165__b4217141975516">sqoop.sh</strong>)</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1165__section93081430115120"><h4 class="sectiontitle">Log Level</h4><p id="mrs_01_1165__en-us_topic_0046736740_p27333381"><a href="#mrs_01_1165__t1e44247bfa6041108b3b65e12e97ae75">Table 2</a> describes the log levels provided by Loader. The priorities of log levels are ERROR, WARN, INFO, and DEBUG in descending order. Logs whose levels are higher than or equal to the specified level are printed. The number of printed logs decreases as the specified log level increases.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1165__t1e44247bfa6041108b3b65e12e97ae75"></a><a name="t1e44247bfa6041108b3b65e12e97ae75"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1165__t1e44247bfa6041108b3b65e12e97ae75" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Log levels</caption><thead align="left"><tr id="mrs_01_1165__en-us_topic_0046736740_row62634808"><th align="left" class="cellrowborder" valign="top" width="38.379999999999995%" id="mcps1.3.2.3.2.3.1.1"><p id="mrs_01_1165__en-us_topic_0046736740_p40254682"><strong id="mrs_01_1165__b142746832016">Level</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="61.62%" id="mcps1.3.2.3.2.3.1.2"><p id="mrs_01_1165__en-us_topic_0046736740_p19089850"><strong id="mrs_01_1165__b1277711313205">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1165__en-us_topic_0046736740_row24966259"><td class="cellrowborder" valign="top" width="38.379999999999995%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_1165__en-us_topic_0046736740_p9001062">ERROR</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.62%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_1165__en-us_topic_0046736740_p57997459">Error information about the current event processing.</p>
+</td>
+</tr>
+<tr id="mrs_01_1165__en-us_topic_0046736740_row52215086"><td class="cellrowborder" valign="top" width="38.379999999999995%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_1165__en-us_topic_0046736740_p1563554">WARN</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.62%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_1165__en-us_topic_0046736740_p59539043">Exception information about the current event processing.</p>
+</td>
+</tr>
+<tr id="mrs_01_1165__en-us_topic_0046736740_row66089339"><td class="cellrowborder" valign="top" width="38.379999999999995%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_1165__en-us_topic_0046736740_p51636249">INFO</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.62%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_1165__en-us_topic_0046736740_p21786680">Normal running status information about the system and events.</p>
+</td>
+</tr>
+<tr id="mrs_01_1165__en-us_topic_0046736740_row61862400"><td class="cellrowborder" valign="top" width="38.379999999999995%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_1165__en-us_topic_0046736740_p44798466">DEBUG</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.62%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_1165__en-us_topic_0046736740_p4797145">System information and system debugging information.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1165__en-us_topic_0046736733_p66684983">To modify log levels, perform the following operations:</p>
+<ol id="mrs_01_1165__ol2049469418545"><li id="mrs_01_1165__li4027424618545"><span>Go to the <strong id="mrs_01_1165__b1312537121711">All Configurations</strong> page of Loader by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</span></li><li id="mrs_01_1165__li2692390118545"><span>On the menu bar on the left, select the log menu of the target role.</span></li><li id="mrs_01_1165__li4098852518545"><span>Select a desired log level.</span></li><li id="mrs_01_1165__li1719026918545"><span>Save the configuration. In the displayed dialog box, click <strong id="mrs_01_1165__b27051579191817">OK</strong> to make the configurations take effect.</span><p><div class="note" id="mrs_01_1165__note1968793518196"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1165__p20687173520194">The configurations take effect immediately without the need to restart the service.</p>
+</div></div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_1165__s5910cd3ded994ea8aae61f487adcd77d"><h4 class="sectiontitle">Log Formats</h4><p id="mrs_01_1165__en-us_topic_0046736740_p54981395">The following table lists the Loader log formats.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1165__en-us_topic_0046736740_table25070509" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Log formats</caption><thead align="left"><tr id="mrs_01_1165__en-us_topic_0046736740_row9613768"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.3.2.4.1.1"><p id="mrs_01_1165__en-us_topic_0046736740_p40517777"><strong id="mrs_01_1165__b57541350144019">Log Type</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.3.2.4.1.2"><p id="mrs_01_1165__en-us_topic_0046736740_p9559684"><strong id="mrs_01_1165__b74711410416">Format</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.3.2.4.1.3"><p id="mrs_01_1165__en-us_topic_0046736740_p56796998"><strong id="mrs_01_1165__b63996215413">Example</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1165__en-us_topic_0046736740_row65951706"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1165__en-us_topic_0046736740_p40487987">Run log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1165__en-us_topic_0046736740_p58301484">&lt;yyyy-MM-dd HH:mm:ss,SSS&gt;|&lt;Log Level&gt;|&lt;Thread that generates the log&gt;|&lt;Message in the log&gt;|&lt;Location of the log event&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1165__en-us_topic_0046736740_p24799725">2015-06-29 14:54:35,553 | INFO | [localhost-startStop-1] | ConnectionRequestHandler initialized |  org.apache.sqoop.handler.ConnectionRequestHandler.&lt;init&gt;(ConnectionRequestHandler.java:100)</p>
+</td>
+</tr>
+<tr id="mrs_01_1165__en-us_topic_0046736740_row21870936"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1165__en-us_topic_0046736740_p26715417">Audit log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1165__en-us_topic_0046736740_p16465207">&lt;yyyy-MM-dd HH:mm:ss,SSS&gt;|&lt;Log Level&gt;|default|&lt;Message in the log&gt;|&lt;Location of the log event&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1165__en-us_topic_0046736740_p58613401">2015-06-29 15:35:40,969 INFO default: UserName=admin, UserIP=10.52.0.111, Time=2015-06-29 15:35:40,969, Operation=submit, Resource=submission@21, Result=Failure,  Detail={[reason:GET_SFTP_SESSION_FAILED:Failed to get sftp session -  10.162.0.35 (caused by: Auth cancel) ];[config:null]}</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0400.html">Using Loader</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1183.html b/docs/mrs/component-operation-guide/mrs_01_1183.html
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+<a name="mrs_01_1183"></a><a name="mrs_01_1183"></a>
+
+<h1 class="topictitle1">Using the Spark Client</h1>
+<div id="body1590995733628"><p id="mrs_01_1183__p19542134143214">After an MRS cluster is created, you can create and submit jobs on the client. The client can be installed on nodes inside or outside the cluster.</p>
+<ul id="mrs_01_1183__ul16756144563213"><li id="mrs_01_1183__li19756184593214">Nodes inside the cluster: After an MRS cluster is created, the client has been installed on the master and core nodes in the cluster by default. For details, see <span id="mrs_01_1183__ph7215514163313"><a href="https://docs.otc.t-systems.com/usermanual/mrs/mrs_01_0090.html" target="_blank" rel="noopener noreferrer">Using an MRS Client on Nodes Inside a Cluster</a>. Then, log in to the node where the MRS client is installed.</span>.</li><li id="mrs_01_1183__li1572012314354">Nodes outside the cluster: You can install the client on nodes outside a cluster. <span id="mrs_01_1183__ph2088172916308">For details about how to install a client, see <a href="https://docs.otc.t-systems.com/usermanual/mrs/mrs_01_0091.html" target="_blank" rel="noopener noreferrer">Using an MRS Client on Nodes Outside a Cluster</a>, and log in to the node where the MRS client is installed.</span>.</li></ul>
+<div class="section" id="mrs_01_1183__section13206075175"><h4 class="sectiontitle">Using the Spark Client</h4><ol id="mrs_01_1183__o65a723c3f0644a5ca5bc95b50051ef8f"><li id="mrs_01_1183__li12507175635615"><span><span id="mrs_01_1183__ph243295392411">Based on the client location, log in to the node where the client is installed. For details, see <a href="https://docs.otc.t-systems.com/usermanual/mrs/mrs_01_0090.html" target="_blank" rel="noopener noreferrer">Using an MRS Client on Nodes Inside a Cluster</a>, or <a href="https://docs.otc.t-systems.com/usermanual/mrs/mrs_01_0091.html" target="_blank" rel="noopener noreferrer">Using an MRS Client on Nodes Outside a Cluster</a>.</span></span></li><li id="mrs_01_1183__l918962d747ac488fae8d369a02cf0b01"><span>Run the following command to go to the client installation directory:</span><p><p id="mrs_01_1183__ae6fabba0d23e4ae4bc35c6ef79cff605"><strong id="mrs_01_1183__a5a32ca4aacc5401ca0e8e8a12040e570">cd /opt/client</strong></p>
+</p></li><li id="mrs_01_1183__lf110d935709c4ac48ee0ad1420665c2e"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_1183__acfff651122a74259a5e01741838c29e9"><strong id="mrs_01_1183__a468a1a99aae541fbab02686dddf0e45a">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_1183__lc24dad0c1fb34eec930f24087726a7fd"><span>If the cluster is in security mode, run the following command to authenticate the user. In normal mode, user authentication is not required.</span><p><p id="mrs_01_1183__a2a7d2557b3594004a61ea1dc86fb7d75"><strong id="mrs_01_1183__b1259311118179">kinit</strong> <em id="mrs_01_1183__i660141110175">Component service user</em></p>
+</p></li><li id="mrs_01_1183__li6626247810502"><span>Run the Spark shell command. The following provides an example:</span><p><p id="mrs_01_1183__p15071440163915"><strong id="mrs_01_1183__b167772124113">spark-beeline</strong></p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0589.html">Using Spark</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1400.html b/docs/mrs/component-operation-guide/mrs_01_1400.html
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+<a name="mrs_01_1400"></a><a name="mrs_01_1400"></a>
+
+<h1 class="topictitle1">Using CarbonData (for MRS 3.x or Later)</h1>
+<div id="body1595920207464"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1401.html">Overview</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1404.html">Configuration Reference</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1405.html">CarbonData Operation Guide</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1417.html">CarbonData Performance Tuning</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1422.html">CarbonData Access Control</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1423.html">CarbonData Syntax Reference</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1454.html">CarbonData Troubleshooting</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1457.html">CarbonData FAQ</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1401.html b/docs/mrs/component-operation-guide/mrs_01_1401.html
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+<a name="mrs_01_1401"></a><a name="mrs_01_1401"></a>
+
+<h1 class="topictitle1">Overview</h1>
+<div id="body1595920207465"><p id="mrs_01_1401__a33de4bd77f4c4304810f92439ff56aa3">This section is for MRS 3.x or later. For MRS 3.x or earlier, see <a href="mrs_01_0385.html">Using CarbonData (for Versions Earlier Than MRS 3.x)</a>.</p>
+</div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1402.html">CarbonData Overview</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1403.html">Main Specifications of CarbonData</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1400.html">Using CarbonData (for MRS 3.x or Later)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1402.html b/docs/mrs/component-operation-guide/mrs_01_1402.html
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+<a name="mrs_01_1402"></a><a name="mrs_01_1402"></a>
+
+<h1 class="topictitle1">CarbonData Overview</h1>
+<div id="body1595920207817"><p id="mrs_01_1402__a1b602a9367624512ba15c25aa9e6b93c">CarbonData is a new Apache Hadoop native data-store format. CarbonData allows faster interactive queries over PetaBytes of data using advanced columnar storage, index, compression, and encoding techniques to improve computing efficiency. In addition, CarbonData is also a high-performance analysis engine that integrates data sources with Spark.</p>
+<div class="fignone" id="mrs_01_1402__fd55d605f9f0842f08c7280331e236d4c"><span class="figcap"><b>Figure 1 </b>Basic architecture of CarbonData</span><br><span><img id="mrs_01_1402__i1ef14b348f3c44f182a7665c80081c49" src="en-us_image_0000001295930452.png"></span></div>
+<p id="mrs_01_1402__a28ff325c9fbd4e38978f63ceb330b176">The purpose of using CarbonData is to provide quick response to ad hoc queries of big data. Essentially, CarbonData is an Online Analytical Processing (OLAP) engine, which stores data by using tables similar to those in Relational Database Management System (RDBMS). You can import more than 10 TB data to tables created in CarbonData format, and CarbonData automatically organizes and stores data using the compressed multi-dimensional indexes. After data is loaded to CarbonData, CarbonData responds to ad hoc queries in seconds.</p>
+<p id="mrs_01_1402__a819a86b16be04f7b9b5ccce95da3b8a0">CarbonData integrates data sources into the Spark ecosystem and you can query and analyze the data using Spark SQL. You can also use the third-party tool JDBCServer provided by Spark to connect to SparkSQL.</p>
+<div class="section" id="mrs_01_1402__s2ce17c7d2867498690705f609685dd3d"><h4 class="sectiontitle">Topology of CarbonData</h4><p id="mrs_01_1402__a4790917c0e1b47648777d04ae2789e8d">CarbonData runs as a data source inside Spark. Therefore, CarbonData does not start any additional processes on nodes in clusters. CarbonData engine runs inside the Spark executor.</p>
+<div class="fignone" id="mrs_01_1402__f7437ccd94a5542a380cc3ee9aa01133d"><span class="figcap"><b>Figure 2 </b>Topology of CarbonData</span><br><span><img id="mrs_01_1402__ib03c3f4f0e1e49169f0bb1e9474b9611" src="en-us_image_0000001348770313.png"></span></div>
+<p id="mrs_01_1402__a640cddf8208840b7b4f05a971b6b579c">Data stored in CarbonData Table is divided into several CarbonData data files. Each time when data is queried, CarbonData Engine reads and filters data sets. CarbonData Engine runs as a part of the Spark Executor process and is responsible for handling a subset of data file blocks.</p>
+<p id="mrs_01_1402__abeb5292647bf4cb68921065245ad3e16">Table data is stored in HDFS. Nodes in the same Spark cluster can be used as HDFS data nodes.</p>
+</div>
+<div class="section" id="mrs_01_1402__s842f5d6f5f03486fa355721d16d8ba00"><h4 class="sectiontitle">CarbonData Features</h4><ul id="mrs_01_1402__ua20d2bfaed2343b69471a7c024537ddf"><li id="mrs_01_1402__lcbc9cfd8378b4c6db1c6402a9e42f197">SQL: CarbonData is compatible with Spark SQL and supports SQL query operations performed on Spark SQL.</li><li id="mrs_01_1402__l13308ebb68724579baa4bd297b9f5310">Simple Table dataset definition: CarbonData allows you to define and create datasets by using user-friendly Data Definition Language (DDL) statements. CarbonData DDL is flexible and easy to use, and can define complex tables.</li><li id="mrs_01_1402__ld07d3d15c98948c3a4c640907c40fbd6">Easy data management: CarbonData provides various data management functions for data loading and maintenance. CarbonData supports bulk loading of historical data and incremental loading of new data. Loaded data can be deleted based on load time and a specific loading operation can be undone.</li><li id="mrs_01_1402__l7b4e32249e7e4fa39f3122405e528025">CarbonData file format is a columnar store in HDFS. This format has many new column-based file storage features, such as table splitting and data compression. CarbonData has the following characteristics:<ul id="mrs_01_1402__u0b6030a32a1b41fa93563dee7ba966d7"><li id="mrs_01_1402__l7c7910a2b3f0439fbb93cecc86dfc07c">Stores data along with index: Significantly accelerates query performance and reduces the I/O scans and CPU resources, when there are filters in the query. CarbonData index consists of multiple levels of indices. A processing framework can leverage this index to reduce the task that needs to be schedules and processed, and it can also perform skip scan in more finer grain unit (called blocklet) in task side scanning instead of scanning the whole file.</li><li id="mrs_01_1402__lc44dc400a6e84d7fb34aa2d4cabd7299">Operable encoded data: Through supporting efficient compression, CarbonData can query on compressed/encoded data. The data can be converted just before returning the results to the users, which is called late materialized.</li><li id="mrs_01_1402__l701e44ecce4a4a7a900f6373ae684d96">Support for various use cases with one single data format: like interactive OLAP-style query, sequential access (big scan), and random access (narrow scan).</li></ul>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1402__s52196dcb731f445f83fccf4f84a4319a"><h4 class="sectiontitle">Key Technologies and Advantages of CarbonData</h4><ul id="mrs_01_1402__u9b6d0694d0d44eb5a23c66ab15c2197b"><li id="mrs_01_1402__l8c03b865c65c4535a12ac6615e82fc4d">Quick query response: CarbonData features high-performance query. The query speed of CarbonData is 10 times of that of Spark SQL. It uses dedicated data formats and applies multiple index technologies and multiple push-down optimizations, providing quick response to TB-level data queries.</li><li id="mrs_01_1402__l4da74d9e64d040019d5efc09949959a5">Efficient data compression: CarbonData compresses data by combining the lightweight and heavyweight compression algorithms. This significantly saves 60% to 80% data storage space and the hardware storage cost.</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1401.html">Overview</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1403.html b/docs/mrs/component-operation-guide/mrs_01_1403.html
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+<a name="mrs_01_1403"></a><a name="mrs_01_1403"></a>
+
+<h1 class="topictitle1">Main Specifications of CarbonData</h1>
+<div id="body1595920207819"><div class="section" id="mrs_01_1403__sb12ac8bd4a094e878a936b41967fe38b"><h4 class="sectiontitle">Main Specifications of CarbonData</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1403__tb53bc1bc349b49e3a726250c59694f09" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Main Specifications of CarbonData</caption><thead align="left"><tr id="mrs_01_1403__reb06b2ef11674632a2831d62319db641"><th align="left" class="cellrowborder" valign="top" width="33.33%" id="mcps1.3.1.2.2.4.1.1"><p id="mrs_01_1403__a110eaef12c924f138d1dd02b901d46b7">Entity</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="14.91%" id="mcps1.3.1.2.2.4.1.2"><p id="mrs_01_1403__ab2332187a5194515829b519f57d53f39">Tested Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="51.76%" id="mcps1.3.1.2.2.4.1.3"><p id="mrs_01_1403__a3ac24084c2e94e3bb73c06224309fe26">Test Environment</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1403__rfee27f5af15647598d3b3dff26b380b1"><td class="cellrowborder" valign="top" width="33.33%" headers="mcps1.3.1.2.2.4.1.1 "><p id="mrs_01_1403__a351bedf14f0d4bb29a50c2229c040da0">Number of tables</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.91%" headers="mcps1.3.1.2.2.4.1.2 "><p id="mrs_01_1403__acf4a6be8278c4f5db162ab6bd0996ad5">10000</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.76%" headers="mcps1.3.1.2.2.4.1.3 "><p id="mrs_01_1403__p1746322016217">3 nodes. 4 vCPUs and 20 GB memory for each executor. Driver memory: 5 GB, 3 executors.</p>
+<p id="mrs_01_1403__p174641320624">Total columns: 107</p>
+<p id="mrs_01_1403__p1646482011214">String: 75</p>
+<p id="mrs_01_1403__p1246472018213">Int: 13</p>
+<p id="mrs_01_1403__p1546418209214">BigInt: 7</p>
+<p id="mrs_01_1403__p34642201326">Timestamp: 6</p>
+<p id="mrs_01_1403__p184643201425">Double: 6</p>
+</td>
+</tr>
+<tr id="mrs_01_1403__rf38ac11c039b402e9e8a7d175f9745ce"><td class="cellrowborder" valign="top" width="33.33%" headers="mcps1.3.1.2.2.4.1.1 "><p id="mrs_01_1403__a45742fb327ec4fe6981ec9a2e680e43e">Number of table columns</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.91%" headers="mcps1.3.1.2.2.4.1.2 "><p id="mrs_01_1403__a6d5734075a3647f5b287d944a418a302">2000</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.76%" headers="mcps1.3.1.2.2.4.1.3 "><p id="mrs_01_1403__a357be32b47b94829b3ee76f418a7f415">3 nodes. 4 vCPUs and 20 GB memory for each executor. Driver memory: 5 GB, 3 executors.</p>
+</td>
+</tr>
+<tr id="mrs_01_1403__r3bfa980bf885421f92fba66affaa98f2"><td class="cellrowborder" valign="top" width="33.33%" headers="mcps1.3.1.2.2.4.1.1 "><p id="mrs_01_1403__ab5d548f272124282980a0b2ee0121537">Maximum size of a raw CSV file</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.91%" headers="mcps1.3.1.2.2.4.1.2 "><p id="mrs_01_1403__a38611ce906a24ace878d838c8286878e">200 GB</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.76%" headers="mcps1.3.1.2.2.4.1.3 "><p id="mrs_01_1403__a177bf50adcb0481b9e3937b5dc4ca423">17 cluster nodes. 150 GB memory and 25 vCPUs for each executor. Driver memory: 10 GB, 17 executors.</p>
+</td>
+</tr>
+<tr id="mrs_01_1403__r2981e820bc164d248eb1ee85c8006fc5"><td class="cellrowborder" valign="top" width="33.33%" headers="mcps1.3.1.2.2.4.1.1 "><p id="mrs_01_1403__ae3c676aa3b75465ebd27a8d13975cddc">Number of CSV files in each folder</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.91%" headers="mcps1.3.1.2.2.4.1.2 "><p id="mrs_01_1403__p16304259734">100 folders. Each folder has 10 files. The size of each file is 50 MB.</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.76%" headers="mcps1.3.1.2.2.4.1.3 "><p id="mrs_01_1403__a9471bd61e6624496afb954899cce269e">3 nodes. 4 vCPUs and 20 GB memory for each executor. Driver memory: 5 GB, 3 executors.</p>
+</td>
+</tr>
+<tr id="mrs_01_1403__rb75709a11c04438490567be8c0120a64"><td class="cellrowborder" valign="top" width="33.33%" headers="mcps1.3.1.2.2.4.1.1 "><p id="mrs_01_1403__a1de0ae6807f64b1bbc19b7d6447941d1">Number of load folders</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.91%" headers="mcps1.3.1.2.2.4.1.2 "><p id="mrs_01_1403__abc246697a0214e05a2c3e54dd8c0a497">10000</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.76%" headers="mcps1.3.1.2.2.4.1.3 "><p id="mrs_01_1403__ae22a4946563f4e798e06adae7cd630bf">3 nodes. 4 vCPUs and 20 GB memory for each executor. Driver memory: 5 GB, 3 executors.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<p id="mrs_01_1403__a079415aa624d47ac808442f0b99711e2">The memory required for data loading depends on the following factors:</p>
+<ul id="mrs_01_1403__u701965767b65456d80487030699fcb38"><li id="mrs_01_1403__l2af0f49f74d84923918bda3049fffca5">Number of columns</li><li id="mrs_01_1403__l0b2ad68beb264c75bcae10118a2fc404">Column values</li><li id="mrs_01_1403__laf054cede7604ac0b4cbe9c0efa3727b">Concurrency (configured using <strong id="mrs_01_1403__b10707073428643">carbon.number.of.cores.while.loading</strong>)</li><li id="mrs_01_1403__lc2a18b3175694f13b281c59891adaf9c">Sort size in memory (configured using <strong id="mrs_01_1403__b15206796708643">carbon.sort.size</strong>)</li><li id="mrs_01_1403__lca40006db1bc48ceae6c6cb97b74644c">Intermediate cache (configured using <strong id="mrs_01_1403__b12249244176">carbon.graph.rowset.size</strong>)</li></ul>
+<p id="mrs_01_1403__p9582339121819">Data loading of an 8 GB CSV file that contains 10 million records and 300 columns with each row size being about 0.8 KB requires about 10 GB executor memory. That is, set <strong id="mrs_01_1403__b11997260528643">carbon.sort.size</strong> to <strong id="mrs_01_1403__b5516141648643">100000</strong> and retain the default values for other parameters.</p>
+<div class="section" id="mrs_01_1403__sb2e16a0c638f471e9f80554fd529674b"><h4 class="sectiontitle">Table Specifications</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1403__t0777d29e5b424bbc89d8fde9b9d849cd" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Table specifications</caption><thead align="left"><tr id="mrs_01_1403__r6bf74437b2ac4e8e8aa7906162a867e6"><th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.5.2.2.3.1.1"><p id="mrs_01_1403__af9f487ac78f941838c7c8685c58740f5">Entity</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.5.2.2.3.1.2"><p id="mrs_01_1403__a20202c3f57e840078348032b24224350">Tested Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1403__r4717992167244de48aef28c5e77dc5d7"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.2.3.1.1 "><p id="mrs_01_1403__aacede83e3201423e9f4fd8094a371a92">Number of secondary index tables</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.2.3.1.2 "><p id="mrs_01_1403__a8129eca2c3854b95acbeb5a3cd6948da">10</p>
+</td>
+</tr>
+<tr id="mrs_01_1403__r588d6001fe454537994155c6c90a327d"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.2.3.1.1 "><p id="mrs_01_1403__a7b49f2dc5c27429fb20fa7f7ddd49622">Number of composite columns in a secondary index table</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.2.3.1.2 "><p id="mrs_01_1403__a3ff1d1c6736c4bf8929ef554df714188">5</p>
+</td>
+</tr>
+<tr id="mrs_01_1403__r40ad0e7bc03c46baae4de9d886d5c384"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.2.3.1.1 "><p id="mrs_01_1403__ad4b3c8e991e0487896157e303a4b7754">Length of column name in a secondary index table (unit: character)</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.2.3.1.2 "><p id="mrs_01_1403__a1dc5bc7092bf4668860aaf614366eabf">120</p>
+</td>
+</tr>
+<tr id="mrs_01_1403__r546bf6ba11154544991323ad50552710"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.2.3.1.1 "><p id="mrs_01_1403__a86bccfdf496b43979a4e8acd9fdb9dd0">Length of a secondary index table name (unit: character)</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.2.3.1.2 "><p id="mrs_01_1403__a0d4463ef317649f2ada13dc69f734a9e">120</p>
+</td>
+</tr>
+<tr id="mrs_01_1403__r218e1fa491f24d0db5682ed010f92f5e"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.2.3.1.1 "><p id="mrs_01_1403__a6e9d73f13d0f44c9ad77489981b0a5ae">Cumulative length of all secondary index table names + column names in an index table* (unit: character)</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.2.2.3.1.2 "><p id="mrs_01_1403__a02abcad2dc6346c2849554a68a967f10">3800**</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_1403__n499441d66f9441e49a4602fe8fb237cb"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1403__ua77b2cb32d9b46c6b9bb14fa7ba69b80"><li id="mrs_01_1403__lc8bfc589d4c84e1fb407404bedc9684f">* Characters of column names in an index table refer to the upper limit allowed by Hive or the upper limit of available resources.</li><li id="mrs_01_1403__l429624ca8db6447cab0d94c5d206a24c">** Secondary index tables are registered using Hive and stored in HiveSERDEPROPERTIES in JSON format. The value of <strong id="mrs_01_1403__b21428846748643">SERDEPROPERTIES</strong> supported by Hive can contain a maximum of 4,000 characters and cannot be changed.</li></ul>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1401.html">Overview</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1404"></a><a name="mrs_01_1404"></a>
+
+<h1 class="topictitle1">Configuration Reference</h1>
+<div id="body1595920208049"><p id="mrs_01_1404__aa7b55ea30ddc494792d53ea0c52cb350">This section provides the details of all the configurations required for the CarbonData System.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1404__t3f3d97b04e9c45e9a33ec03b352284af" frame="border" border="1" rules="all"><caption><b>Table 1 </b>System configurations in <strong id="mrs_01_1404__b18838171191616">carbon.properties</strong></caption><thead align="left"><tr id="mrs_01_1404__raf29dd9f05c34b678bac446183b9530a"><th align="left" class="cellrowborder" valign="top" width="18.86%" id="mcps1.3.2.2.4.1.1"><p id="mrs_01_1404__a75456412ccf74b08846e3e0cc5ee8699">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20.990000000000002%" id="mcps1.3.2.2.4.1.2"><p id="mrs_01_1404__a080775fd9ca344e7a913a203e5f7de9e">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="60.150000000000006%" id="mcps1.3.2.2.4.1.3"><p id="mrs_01_1404__a1359be66d29440a19e846b8346fcde1e">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1404__rb27369dd024d4ea8830217c2615aef1e"><td class="cellrowborder" valign="top" width="18.86%" headers="mcps1.3.2.2.4.1.1 "><p id="mrs_01_1404__a20c8526ba78243ba9c5f39a6435192ac">carbon.ddl.base.hdfs.url</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.990000000000002%" headers="mcps1.3.2.2.4.1.2 "><p id="mrs_01_1404__a004652e0c0a142ccb6c57265316d4b5a">hdfs://hacluster/opt/data</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.150000000000006%" headers="mcps1.3.2.2.4.1.3 "><p id="mrs_01_1404__a583083d303c748259248cb30bd302369">HDFS relative path from the HDFS base path, which is configured in <span class="parmname" id="mrs_01_1404__p123c96b2864b47fb838383d0e3a5c845"><b>fs.defaultFS</b></span>. The path configured in <span class="parmname" id="mrs_01_1404__pb6e44e047318496490c70d8a572a538b"><b>carbon.ddl.base.hdfs.url</b></span> will be appended to the HDFS path configured in <span class="parmname" id="mrs_01_1404__p8c9946264d4049fe800021831e59bfee"><b>fs.defaultFS</b></span>. If this path is configured, you do not need to pass the complete path while dataload.</p>
+<p id="mrs_01_1404__afdb6a0662ad9430fb512ecb8d60a6fa9">For example, if the absolute path of the CSV file is <span class="filepath" id="mrs_01_1404__f0c6844014ded4064a8d1e2382ebcdb97"><b>hdfs://10.18.101.155:54310/data/cnbc/2016/xyz.csv</b></span>, the path <span class="filepath" id="mrs_01_1404__f67f8e4587a8147018bad526167a826dd"><b>hdfs://10.18.101.155:54310</b></span> will come from property <span class="parmname" id="mrs_01_1404__p90e1223918304a5b8a5a1b54793af58c"><b>fs.defaultFS</b></span> and you can configure <span class="filepath" id="mrs_01_1404__ff2be7a04f96c45a0b2f723ed254e289a"><b>/data/cnbc/</b></span> as <span class="parmname" id="mrs_01_1404__p5dc752d5fbd6474593ea574fef269f67"><b>carbon.ddl.base.hdfs.url</b></span>.</p>
+<p id="mrs_01_1404__af02c9015c59141e58b71f7200f477425">During data loading, you can specify the CSV path as <span class="filepath" id="mrs_01_1404__fed78e6895c3540b09c4642107af424cd"><b>/2016/xyz.csv</b></span>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r343943b8576543fdbc455331441f9226"><td class="cellrowborder" valign="top" width="18.86%" headers="mcps1.3.2.2.4.1.1 "><p id="mrs_01_1404__aad428485216f48f894b28adba7b3bf75">carbon.badRecords.location</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.990000000000002%" headers="mcps1.3.2.2.4.1.2 "><p id="mrs_01_1404__ab5afc60b0f1043df9e502cb89521081d">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.150000000000006%" headers="mcps1.3.2.2.4.1.3 "><p id="mrs_01_1404__a40a5c8d88dd64a32bdbfc332b6a9d1cf">Storage path of bad records. This path is an HDFS path. The default value is <strong id="mrs_01_1404__b628413494104735">Null</strong>. If bad records logging or bad records operation redirection is enabled, the path must be configured by the user.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r45f2da53cc11457a800a07d18af1f945"><td class="cellrowborder" valign="top" width="18.86%" headers="mcps1.3.2.2.4.1.1 "><p id="mrs_01_1404__a9a0d3ff900f9419eb2d4408b5483fcd9">carbon.bad.records.action</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.990000000000002%" headers="mcps1.3.2.2.4.1.2 "><p id="mrs_01_1404__a06c2f0032e5b4030a739958e6e266345">fail</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.150000000000006%" headers="mcps1.3.2.2.4.1.3 "><p id="mrs_01_1404__a06b697c58ac44dbdb6af41f4b0c46178">The following are four types of actions for bad records:</p>
+<p id="mrs_01_1404__a18eb74fb55064d0493b558b9c86140f6"><strong id="mrs_01_1404__b694851784104735">FORCE</strong>: Data is automatically corrected by storing the bad records as NULL.</p>
+<p id="mrs_01_1404__a7d251612a6df408b81217630b132e94b"><strong id="mrs_01_1404__b1046599333104735">REDIRECT</strong>: Bad records are written to the raw CSV instead of being loaded.</p>
+<p id="mrs_01_1404__ab164f0ad4eb841cdbacbac53cc78c51e"><strong id="mrs_01_1404__b766037403104735">IGNORE</strong>: Bad records are neither loaded nor written to the raw CSV.</p>
+<p id="mrs_01_1404__a5cb53d6f5bef4a4d91a211b77d8d1616"><strong id="mrs_01_1404__b342375181104735">FAIL</strong>: Data loading fails if any bad records are found.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__reb89f3ea16a845cf889407653719ec80"><td class="cellrowborder" valign="top" width="18.86%" headers="mcps1.3.2.2.4.1.1 "><p id="mrs_01_1404__ae6b4fceeda91428fa73a4c352156b908">carbon.update.sync.folder</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.990000000000002%" headers="mcps1.3.2.2.4.1.2 "><p id="mrs_01_1404__a2438b133d4364191affe83cb55d65a22">/tmp/carbondata</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.150000000000006%" headers="mcps1.3.2.2.4.1.3 "><p id="mrs_01_1404__a4e40e0ff1c0b461a930bd2d98c9a4731">Specifies the <strong id="mrs_01_1404__b615045214104735">modifiedTime.mdt</strong> file path. You can set it to an existing path or a new path.</p>
+<div class="note" id="mrs_01_1404__ned6d012c1dd24afe89596402704888de"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1404__abd4524bb4023413f808e1f162773f86b">If you set this parameter to an existing path, ensure that all users can access the path and the path has the 777 permission.</p>
+</div></div>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+
+<div class="tablenoborder"><a name="mrs_01_1404__t197b7a04db3c4f919bd30707c2fdcd1f"></a><a name="t197b7a04db3c4f919bd30707c2fdcd1f"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1404__t197b7a04db3c4f919bd30707c2fdcd1f" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Performance configurations in <strong id="mrs_01_1404__b565845517197">carbon.properties</strong></caption><thead align="left"><tr id="mrs_01_1404__r58d08b2e3ce94fa69bd62bc7039cbff7"><th align="left" class="cellrowborder" valign="top" width="18.67%" id="mcps1.3.3.2.4.1.1"><p id="mrs_01_1404__a2a2146a71a7f4106a1d23347d1867773">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="14.979999999999999%" id="mcps1.3.3.2.4.1.2"><p id="mrs_01_1404__a79c9998b19db413fa887df82de3e1b61">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="66.35%" id="mcps1.3.3.2.4.1.3"><p id="mrs_01_1404__ac96a875cb8004ba09f213da500e699c4">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1404__r17be0093039a4711831d2632c6e7d367"><td class="cellrowborder" colspan="3" valign="top" headers="mcps1.3.3.2.4.1.1 mcps1.3.3.2.4.1.2 mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__af8df7462293243248e6e94f2866969ec"><strong id="mrs_01_1404__a73f0a30e9b754823a9c144f798bf55b7">Data Loading Configuration</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r30bfd47802b94dbd84fb671c335529e9"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__ad28332cd610f4bcb9047a9961e3faa3b">carbon.sort.file.write.buffer.size</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__a0f21a9c9ccbe4cbca420df8d595d2334">16384</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__a60cf0124893a4eaeb1f4bcca411de84c">CarbonData sorts data and writes it to a temporary file to limit memory usage. This parameter controls the size of the buffer used for reading and writing temporary files. The unit is bytes.</p>
+<p id="mrs_01_1404__p614145212137">The value ranges from 10240 to 10485760.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r44bdcf399951407f9c742591cdf63a57"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__af7d269c3e758440ca29a0f75f1567547">carbon.graph.rowset.size</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__a28a9bda2ddce46e69801e81d9e812a15">100,000</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__ad7f661c75f9e4ac9b824ff6e09cbb090">Rowset size exchanged in data loading graph steps.</p>
+<p id="mrs_01_1404__a5b6dc382e58e44bb967454bfaaeae016">The value ranges from 500 to 1,000,000.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__rb674745fe1d041a487f5d2ca94f906e3"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__a8ab9a299a5794897876af260854ba69d">carbon.number.of.cores.while.loading</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__a736cfb5beb454c7387213119fbabd4c9">6</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__a93cc5b9556144321b13f9146ea951bd2">Number of cores used during data loading. The greater the number of cores, the better the compaction performance. If the CPU resources are sufficient, you can increase the value of this parameter.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r69ee4322bee048fe89e256f1fe561ab6"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__a0bae07486f4249ff8e6c353db5686038">carbon.sort.size</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__a1aa52e0b277e499bb7a7dc699ce3b1f2">500000</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__ad75af23309004a358fe8e969bed57355">Number of records to be sorted</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r83590bf90376409c874ad799352d9ea7"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__ae292cb01879d4629a6454138d1daa2f3">carbon.enableXXHash</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__a466bbd62d52c4057b230916c397a586e">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__a602113a21510483eaba5a622a5b33004">Hashmap algorithm used for hashkey calculation</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__re93c2a8ab97a48e68b0bd667e7028b30"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__a64e1a9441d7942f68e1e54f9f5e993da">carbon.number.of.cores.block.sort</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__a54474d75793b48119721aebc997143dc">7</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__a8ec3ac90f5f941369bf98f6457c5effb">Number of cores used for sorting blocks during data loading</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r00223e4ec6e84acfb53571fdbbbd51d2"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__aeea46203d5ee43d8b04912cf8e1fcd5b">carbon.max.driver.lru.cache.size</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__a4b3e57bc84594eab80959b7b295fc5e4">-1</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__ab7371bc9c0cc4fa59ba8a53d1334843f">Maximum size of LRU caching for data loading at the driver side. The unit is MB. The default value is <strong id="mrs_01_1404__b2069919755104735">-1</strong>, indicating that there is no memory limit for the caching. Only integer values greater than 0 are accepted.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r834e60d9bcf7475095dfc975e16cae5f"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__a2b707baee72c412b8b9e8d4b43cd54a6">carbon.max.executor.lru.cache.size</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__a6675779795844fc9bc0cc5a8856fabc6">-1</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__a2f1b12628b60439b9724a02564406c1f">Maximum size of LRU caching for data loading at the executor side. The unit is MB. The default value is <strong id="mrs_01_1404__b953246543104735">-1</strong>, indicating that there is no memory limit for the caching. Only integer values greater than 0 are accepted. If this parameter is not configured, the value of <span class="parmname" id="mrs_01_1404__pb0d2d156f4a04c5bb4f842aa8d879a61"><b>carbon.max.driver.lru.cache.size</b></span> is used.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r4da8db16467f4a318cd7a4d4251159c4"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__ac4046db0d2b84d82a06040ab234c4371">carbon.merge.sort.prefetch</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__a059d0a753b6048c38828a560e6d7e60b">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__a73da402b4e7c4d85aeda4f91d18b0448">Whether to enable prefetch of data during merge sort while reading data from sorted temp files in the process of data loading</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r2bab23a1b67945658f15f9e5848aacf6"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__af10de8dd85604fd3b4b9e6589cc4ba8c">carbon.update.persist.enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__a9063cec9cd5b49928178b1c531e86b85">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__a3190df6dbc914370aa65cbb8b23ef806">Configuration to enable the dataset of RDD/dataframe to persist data. Enabling this will reduce the execution time of UPDATE operation.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r5285e71ae13c42378992dd19f44d6fce"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__af1ef394f10004e98b62c992353bb7c60">enable.unsafe.sort</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__a64b27b0173f34a5b8321af594bd11798">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__aecb8b7dc29624b08b6ab6a2abdd514ef">Whether to use unsafe sort during data loading. Unsafe sort reduces the garbage collection during data load operation, resulting in better performance. The default value is <span class="parmvalue" id="mrs_01_1404__p0a265c87dde94151987a365eefb979ca"><b>true</b></span>, indicating that unsafe sort is enabled.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__rfedbc2d7edaf4fe98264528fae035a83"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__a6e894de483a840a09642f529d5955d01">enable.offheap.sort</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__a72897bb0d1644d21b789d6cf06de27e8">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__a900efa67621e4adfb75d3725bd791c76">Whether to use off-heap memory for sorting of data during data loading</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r35ea952a21a4499f8460f49650711d70"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__a3a68aa16d77d418c824b2e3ae1c934b7">offheap.sort.chunk.size.inmb</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__ab876d5e8a94f4d76a669771ec60cac4b">64</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__a32bc8358c8a3435b8e38f9cb11dd0c74">Size of data chunks to be sorted, in MB. The value ranges from 1 to 1024.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r8b24bd5d4ebe40b9bfe2835ce87418bc"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__a74ca5dfb09724309983e950bd6f3736f">carbon.unsafe.working.memory.in.mb</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__a6876eab1aae543d4af57558821b8afa6">512</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__a9482024d6fe749689b027e1a2192dffd">Size of the unsafe working memory. This will be used for sorting data and storing column pages. The unit is MB.</p>
+<p id="mrs_01_1404__en-us_topic_0085589714_p229871059051">Memory required for data loading:</p>
+<p id="mrs_01_1404__en-us_topic_0085589714_p55573589051">carbon.number.of.cores.while.loading [default value is 6] x Number of tables to load in parallel x offheap.sort.chunk.size.inmb [default value is 64 MB] + carbon.blockletgroup.size.in.mb [default value is 64 MB] + Current compaction ratio [64 MB/3.5])</p>
+<p id="mrs_01_1404__en-us_topic_0085589714_p500162269051">= Around 900 MB per table</p>
+<p id="mrs_01_1404__en-us_topic_0085589714_p474928549051">Memory required for data query:</p>
+<p id="mrs_01_1404__en-us_topic_0085589714_p247825079051">(SPARK_EXECUTOR_INSTANCES. [default value is 2] x (carbon.blockletgroup.size.in.mb [default value: 64 MB] + carbon.blockletgroup.size.in.mb [default value = 64 MB x 3.5) x Number of cores per executor [default value: 1])</p>
+<p id="mrs_01_1404__en-us_topic_0085589714_p217159799051">= ~ 600 MB</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__reb4c2aee67934e14a81c8dc3d6b2be25"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__a8ff232ac303a4dd49760f03c8c25ecd3">carbon.sort.inmemory.storage.size.in.mb</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__a5e20a1e691964b959cf93f5459ae7fe4">512</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__a60b37444106447d089ca44704e7a656a">Size of the intermediate sort data to be kept in the memory. Once the specified value is reached, the system writes data to the disk. The unit is MB.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__ref8fdf333d354b55bb3ab09d89e2a063"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__aed00250dbbfa40e1b752d21a158a76e7">sort.inmemory.size.inmb</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__a44ea46e2b7e24bd48caf951da239499c">1024</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__acbc805633da944adb3d340cd628ab6f0">Size of the intermediate sort data to be kept in the memory. Once the specified value is reached, the system writes data to the disk. The unit is MB.</p>
+<p id="mrs_01_1404__a6e3accd46daf43d380c429d3f628c515">If <strong id="mrs_01_1404__b1378631789104735">carbon.unsafe.working.memory.in.mb</strong> and <strong id="mrs_01_1404__b1353117785104735">carbon.sort.inmemory.storage.size.in.mb</strong> are configured, you do not need to set this parameter. If this parameter has been configured, 20% of the memory is used for working memory <strong id="mrs_01_1404__b1718415496104735">carbon.unsafe.working.memory.in.mb</strong>, and 80% is used for sort storage memory <strong id="mrs_01_1404__b2126835999104735">carbon.sort.inmemory.storage.size.in.mb</strong>.</p>
+<div class="note" id="mrs_01_1404__n00347865ab0845a88b0034447f8e2205"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1404__ad128315db4454d5c8704de1a79c8945d">The value of <strong id="mrs_01_1404__b1131225770104735">spark.yarn.executor.memoryOverhead</strong> configured for Spark must be greater than the value of <strong id="mrs_01_1404__b39880197104735">sort.inmemory.size.inmb</strong> configured for CarbonData. Otherwise, Yarn might stop the executor if off-heap access exceeds the configured executor memory.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1404__r4a365906130545c68b0da55dd069f0ba"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__a2a1af7985e624118a118bbbe39417016">carbon.blockletgroup.size.in.mb</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__aacd0594291b34d58939564c4fb21bca6">64</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__ad5820964b2424856869b76eb94fac0b6">The data is read as a group of blocklets which are called blocklet groups. This parameter specifies the size of each blocklet group. Higher value results in better sequential I/O access.</p>
+<p id="mrs_01_1404__a20d0f5b8399145bcbde74f94f186bd58">The minimum value is 16 MB. Any value less than 16 MB will be reset to the default value (64 MB).</p>
+<p id="mrs_01_1404__afb34029923214021b14e866106e79606">The unit is MB.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__rc4cad242e1414ba9a101a0ece58d7a82"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__a97e014f51c26458899d1249f1ab7969f">enable.inmemory.merge.sort</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__a176b490d43b5496199f488513aa053f3">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__a2ed5c2e3958548beb79106fde49005e5">Whether to enable <strong id="mrs_01_1404__b19101193418012">inmemorymerge sort</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r1981c1248dca4c4387b3da5727121cf1"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__a4fd658008a514875bb8af3bf53d9b647">use.offheap.in.query.processing</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__a8b97752bfe934d60866721b3f28270c0">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__aa557f7d2557c4647861aeb737ea6fbfc">Whether to enable <strong id="mrs_01_1404__b293116398014">offheap</strong> in query processing.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__ree04ad4841ad4ae186f1c4882e41c3ef"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__a1ebd61f39a414d2aa73acbce1a842ea9">carbon.load.sort.scope</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__aba5b01e3e5f94ffc9578d4389b79aa91">local_sort</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__a4f1533424e334edfb3e58d834faf41da">Sort scope for the load operation. There are two types of sort: <strong id="mrs_01_1404__b12424164718">batch_sort </strong>and <strong id="mrs_01_1404__b18506867111">local_sort</strong>. If <strong id="mrs_01_1404__b119131591715">batch_sort</strong> is selected, the loading performance is improved but the query performance is reduced.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r82aa01df9b0044fd889883baddadaca4"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__af340bfd05e9641f3bbc633bee345367e">carbon.batch.sort.size.inmb</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__a61852bd5945e4a5b8cd8e069654df14f">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__a6b429a2f032b4a728956e45ae170c9fd">Size of data to be considered for batch sorting during data loading. The recommended value is less than 45% of the total sort data. The unit is MB.</p>
+<div class="note" id="mrs_01_1404__n62f3a3dca29144cb9915cb3d4c4c04b2"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1404__a24bf183ec4214250b38d456731b6dd4b">If this parameter is not set, its value is about 45% of the value of <strong id="mrs_01_1404__b1955242215104735">sort.inmemory.size.inmb</strong> by default.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1404__r36f3ca2a56674107b219d71012940372"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__a258468ad8e7f4082a652728ea88172d8">enable.unsafe.columnpage</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__a80ff77850f9e4f3bb7459823da5934f6">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__aaeeb6f3309734ffa94b26c1bf1ea80ac">Whether to keep page data in heap memory during data loading or query to prevent garbage collection bottleneck.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__rb73e1e404f1d4118846e678979a5684f"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__af04c79d9fe2a4b46a33d050afdb80cd2">carbon.use.local.dir</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__a0f2d143fba2146e6a81baf5a92c4b59b">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__ac5f3f5b2e65f4136947ad12dc790f65b">Whether to use Yarn local directories for multi-disk data loading. If this parameter is set to <strong id="mrs_01_1404__b1224029641104735">true</strong>, Yarn local directories are used to load multi-disk data to improve data loading performance.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r388617122fc546e799542d4577a5ae32"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__a5d652352c1f54468811646d69dd099ce">carbon.use.multiple.temp.dir</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__a2a5bc1fd7c6a4d2e9714a99da4df8ba0">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__acbcf7fc83c5440658a4e1324761ff3f0">Whether to use multiple temporary directories for storing temporary files to improve data loading performance.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__row78301313105914"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__p283071335913">carbon.load.datamaps.parallel.db_name.table_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__p108309133596">N/A</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__p683081315916">The value can be <strong id="mrs_01_1404__b1691680626104735">true</strong> or <strong id="mrs_01_1404__b504328795104735">false</strong>. You can set the database name and table name to improve the first query performance of the table.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__rf6720f89e9b346df97df0434296eb3c3"><td class="cellrowborder" colspan="3" valign="top" headers="mcps1.3.3.2.4.1.1 mcps1.3.3.2.4.1.2 mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__ad97e82069c1e40ef9d6df51579c17e5f"><strong id="mrs_01_1404__a3d621300754546d09b62afc00cb0eb4b">Compaction Configuration</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r24a818ae5e5c4fad886f327850d3f819"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__adc07e84d6e224e0a85854b6d167eccc9">carbon.number.of.cores.while.compacting</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__a545757e6e92d4ce5911e0c535c807888">2</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__ab224d7fe878b40f7af841bd1f874f8f8">Number of cores to be used while compacting data. The greater the number of cores, the better the compaction performance. If the CPU resources are sufficient, you can increase the value of this parameter.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r44ee6d4d66d14bb78e9cf7742e253251"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__a3f49e1242d49494684f3ec9bd39ffcc8">carbon.compaction.level.threshold</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__a1270cc9d6ea14db6bb0113343803034c">4,3</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__a24d8c16b40904984a288f693f40f7d30">This configuration is for minor compaction which decides how many segments to be merged.</p>
+<p id="mrs_01_1404__ab0b30e1c2be44ab887d6077c7428ba9f">For example, if this parameter is set to <span class="parmvalue" id="mrs_01_1404__pce1d4171df8c4d1bb275220f318614c2"><b>2,3</b></span>, minor compaction is triggered every two segments. <span class="parmvalue" id="mrs_01_1404__pe48558c1acbe473da2c99a7fb6448f6e"><b>3</b></span> is the number of level 1 compacted segments which is further compacted to new segment.</p>
+<p id="mrs_01_1404__ab91dd09d621742c9ac34919c608943f0">The value ranges from 0 to 100.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r5e1b770da1c6488b89f0f854b164007f"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__ae5302f28649a44a2bbf730589ad99a5b">carbon.major.compaction.size</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__a7ad0700ab67e450f8767bb983d7504fc">1024</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__a5baaa9cd32464881a849d12c10469734">Major compaction size. Sum of the segments which is below this threshold will be merged.</p>
+<p id="mrs_01_1404__ae86d78534fdc42f9995abf27af88bce3">The unit is MB.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__re770324180554f49bfb4c218e95503db"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__ae9ccd44ce0e34ffc8caf9325c58e0fc3">carbon.horizontal.compaction.enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__a94fac725aed1495a97794a30af5d8621">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__a9af1bdc68a30478ab9cc7e79f7bc6cf9">Whether to enable/disable horizontal compaction. After every DELETE and UPDATE statement, horizontal compaction may occur in case the incremental (DELETE/ UPDATE) files becomes more than specified threshold. By default, this parameter is set to <span class="parmvalue" id="mrs_01_1404__p49f94eb9a5e44897909f2abd2d96c1d3"><b>true</b></span>. You can set this parameter to <span class="parmvalue" id="mrs_01_1404__p73ee549a4be040e58aa9f0209df74323"><b>false</b></span> to disable horizontal compaction.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__rf9c374f82bac4aeb89681c57468ba055"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__a70aeedb4319d44c49e748f06b5b594a0">carbon.horizontal.update.compaction.threshold</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__a37d3798258184b93b3c817633bce58ad">1</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__ae381d0ab56c14b50ae8b6b01c64e2791">Threshold limit on number of UPDATE delta files within a segment. In case the number of delta files goes beyond the threshold, the UPDATE delta files within the segment becomes eligible for horizontal compaction and are compacted into single UPDATE delta file. By default, this parameter is set to <strong id="mrs_01_1404__b1137246854104735">1</strong>. The value ranges from <strong id="mrs_01_1404__b456562901104735">1</strong> to <strong id="mrs_01_1404__b951413717104735">10000</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__rd634d026e3f0462184a5ad98f529f27d"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__a5828052483e74164ad82192b40d33521">carbon.horizontal.delete.compaction.threshold</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__ad95a0cfb9edc469994c1f8f2cc4ca650">1</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__a53fefd6e1c824c6f94164d355334bcf4">Threshold limit on number of DELETE incremental files within a block of a segment. In case the number of incremental files goes beyond the threshold, the DELETE incremental files for the particular block of the segment becomes eligible for horizontal compaction and are compacted into single DELETE incremental file. By default, this parameter is set to <strong id="mrs_01_1404__b809384660104735">1</strong>. The value ranges from <strong id="mrs_01_1404__b92599859104735">1</strong> to <strong id="mrs_01_1404__b1976317084104735">10000</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r1b7fbf0b721b4a339517b7b5232b0ef1"><td class="cellrowborder" colspan="3" valign="top" headers="mcps1.3.3.2.4.1.1 mcps1.3.3.2.4.1.2 mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__aca0296ebda164c84ad9a1b83d91dcc4c"><strong id="mrs_01_1404__abcad9792b5b440cab37c73a94894acf4">Query Configuration</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_1404__ref9665aea9d6421680716f0eefb98b31"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__afbc61dc97100432991884526a15d0eb1">carbon.number.of.cores</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__aca0b2320e54443e19523f65fa7f3e091">4</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__abdc3d8de250d4b7faaacd3ec72552f4e">Number of cores to be used during query</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r5ce234c593964608ae917f1de5f5928a"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__ab7858681fa764a1595107850e5f43a84">carbon.limit.block.distribution.enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__ab318814cbcb8486891d9d2a05b717b48">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__aa77c3faf8c7741c09418919eda0e3abe">Whether to enable the CarbonData distribution for <span class="keyword" id="mrs_01_1404__ke263c58cbac249569011113b05776df8">limit</span> query. The default value is <span class="parmvalue" id="mrs_01_1404__p70876c03ba6444ebb93d5bc5c01adda1"><b>false</b></span>, indicating that block distribution is disabled for query statements that contain the keyword <span class="keyword" id="mrs_01_1404__k60c3f30936a449409c30cfba22a3bcf8">limit</span>. For details about how to optimize this parameter, see <a href="mrs_01_1421.html">Configurations for Performance Tuning</a>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r1cef48fa9fda4dfca12fa371e0213b6b"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__a78e1b3ab559941b7a2b1bcbe8a1966ca">carbon.custom.block.distribution</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__abaf6d3db00ce40a7ba499a2fd60cef8b">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__a5ec82edb7fc64613a91539c30cc7d098">Whether to enable Spark or CarbonData block distribution. By default, the value is <span class="parmvalue" id="mrs_01_1404__p194fc313f5394d928b8e582b8fb5dda3"><b>false</b></span>, indicating that Spark block distribution is enabled. To enable CarbonData block distribution, change the value to <span class="parmvalue" id="mrs_01_1404__p2113bee121bd404d8285d434b8b2f84a"><b>true</b></span>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r260dffcea5784b3ea96921bc7de6396a"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__afeee67c1979d4eb78a3e979230ff89d6">carbon.infilter.subquery.pushdown.enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__afffe5c7cf91b45d1b2af474abd021c28">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__a74491d617573459c8388ad527310eb04">If this is set to <strong id="mrs_01_1404__b482396136104735">true</strong> and a Select query is triggered in the filter with subquery, the subquery is executed and the output is broadcast as IN filter to the left table. Otherwise, SortMergeSemiJoin is executed. You are advised to set this to <strong id="mrs_01_1404__b1382709338104735">true</strong> when IN filter subquery does not return too many records. For example, when the IN sub-sentence query returns 10,000 or fewer records, enabling this parameter will give the query results faster.</p>
+<p id="mrs_01_1404__abc01c95b8c244009bdbed521028e1be0">Example: <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1404__cmdname17617131316127">select * from flow_carbon_256b where cus_no in (select cus_no from flow_carbon_256b where dt&gt;='20260101' and dt&lt;='20260701' and txn_bk='tk_1' and txn_br='tr_1') limit 1000;</span></b></i></p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r967ba54d8fbe4fb589b47b156138072c"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__a398b00caadcc48629c2597c9959423f7">carbon.scheduler.minRegisteredResourcesRatio</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__a747d1716c930410caf84f6deb613f317">0.8</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__ab0737f76503c42a5996edd07a0df8428">Minimum resource (executor) ratio needed for starting the block distribution. The default value is <span class="parmvalue" id="mrs_01_1404__p51fcb26938dd42ef856b0b95fe0df490"><b>0.8</b></span>, indicating that 80% of the requested resources are allocated for starting block distribution.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__rdf21c1b1ea8a4949af365e0678eb7047"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__a9e4ab824fe324d84b2700252ed2fef9e">carbon.dynamicAllocation.schedulerTimeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__a1377fb6546fa497d93068a06bb77b366">5</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__a7707a416fc924feb9ed582776e870beb">Maximum time that the scheduler waits for executors to be active. The default value is <span class="parmvalue" id="mrs_01_1404__p11405ab9f65c492788e82d2853bc87e1"><b>5</b></span> seconds, and the maximum value is <span class="parmvalue" id="mrs_01_1404__pcc9db4df176046f4941d69c9f731ec1d"><b>15</b></span> seconds.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__ra62fec1e492d40b9b8a7acc01d88dd23"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__abb2195dc4a124630abb271bc6cd54f03">enable.unsafe.in.query.processing</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__ac962598d1c7e4be9b7c01a73e183507f">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__a3fb8d493dfae4a1baab63b019d76fcf4">Whether to use unsafe sort during query. Unsafe sort reduces the garbage collection during query, resulting in better performance. The default value is <span class="parmvalue" id="mrs_01_1404__p2331c2c509cc41c399979bd13706d643"><b>true</b></span>, indicating that unsafe sort is enabled.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__rc8a28c8c95c64c97957f1101fe636e21"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__ae76fd0e57f854b908bef35cbf72dc084">carbon.enable.vector.reader</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__a8977efd1a48e48698aeaf1e6c44ca49c">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__aad5569cc61874738a34130c3ad958b9d">Whether to enable vector processing for result collection to improve query performance</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__row99971347131416"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__p199724731414">carbon.query.show.datamaps</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__p399784711420">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__p209971347181413"><b><span class="cmdname" id="mrs_01_1404__cmdname188711934141514">SHOW TABLES</span></b> lists all tables including the primary table and datamaps. To filter out the datamaps, set this parameter to <strong id="mrs_01_1404__b597724903104735">false</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r90e1e16857a8405896b5e89f714df297"><td class="cellrowborder" colspan="3" valign="top" headers="mcps1.3.3.2.4.1.1 mcps1.3.3.2.4.1.2 mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__adba75c5a8b6141979b5510e230be4d0b"><strong id="mrs_01_1404__a283941c067014db9a7c7d2976c13d80c">Secondary Index Configuration</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_1404__rf9fc6a5178e94d95a1cfbfb792d513d6"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__a1cce4685644142a89989570eacd61fcd">carbon.secondary.index.creation.threads</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__aa39e30a6ed0241b78bb105fad4bc88a0">1</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__aa34ff35119924975b65c8afa3698c71f">Number of threads to concurrently process segments during secondary index creation. This property helps fine-tuning the system when there are a lot of segments in a table. The value ranges from 1 to 50.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r1242d385c7f547dd8c3ad9dceaae884e"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__a2a8bb7563cb540b2aa8361914663981c">carbon.si.lookup.partialstring</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__ae77b417ac8d445e297a9ca088425a9b1">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><ul id="mrs_01_1404__uf5c6890d93514e18afdfcdce795b49ae"><li id="mrs_01_1404__l43be1a896c9742a1aab435775c51bf4e">When the parameter value is <strong id="mrs_01_1404__b2074278829104735">true</strong>, it includes indexes started with, ended with, and contained.</li><li id="mrs_01_1404__l0213bb02d639447f9c487bba3749a7ad">When the parameter value is <strong id="mrs_01_1404__b700567824104735">false</strong>, it includes only secondary indexes started with.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_1404__row05464498562"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_1404__p154644955610">carbon.si.segment.merge</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.979999999999999%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_1404__p10546134919568">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.35%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_1404__p10546549105616">Enabling this property merges <strong id="mrs_01_1404__b92291881915">.carbondata</strong> files inside the secondary index segment. The merging will happen after the load operation. That is, at the end of the secondary index table load, small files are checked and merged.</p>
+<div class="note" id="mrs_01_1404__note119768411255"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1404__p997654117514">Table Block Size is used as the size threshold for merging small files.</p>
+</div></div>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1404__td75b0415aa2043ab98f02b438267e3c8" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Other configurations in <strong id="mrs_01_1404__b1354832342316">carbon.properties</strong></caption><thead align="left"><tr id="mrs_01_1404__r41be7fffe13e49f081e73bf4b3e2b1ca"><th align="left" class="cellrowborder" valign="top" width="18.48%" id="mcps1.3.4.2.4.1.1"><p id="mrs_01_1404__a5388678567ad41c3b9025ece5a7def9b">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="21.310000000000002%" id="mcps1.3.4.2.4.1.2"><p id="mrs_01_1404__ae5959a3013774dda9f0e25d835db13c7">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="60.209999999999994%" id="mcps1.3.4.2.4.1.3"><p id="mrs_01_1404__a067675b728fb415d86c4138bcf8daf88">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1404__r64cfcebe35fd4be8a7aed62b5b525a86"><td class="cellrowborder" colspan="3" valign="top" headers="mcps1.3.4.2.4.1.1 mcps1.3.4.2.4.1.2 mcps1.3.4.2.4.1.3 "><p id="mrs_01_1404__a9d267d82d99843e48430aac51efd4a3e"><strong id="mrs_01_1404__a40a295908f3e41d082905c4f06436c82">Data Loading Configuration</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_1404__rd9f30bc907f94b29afa25b19f9bc73f6"><td class="cellrowborder" valign="top" width="18.48%" headers="mcps1.3.4.2.4.1.1 "><p id="mrs_01_1404__ae3fc222cae0c41b2b33e3103733a98b6">carbon.lock.type</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.310000000000002%" headers="mcps1.3.4.2.4.1.2 "><p id="mrs_01_1404__aff0665c509074d3ca03ac644d9cb0fac">HDFSLOCK</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.209999999999994%" headers="mcps1.3.4.2.4.1.3 "><p id="mrs_01_1404__a7b2313db51454d36b5122c062fe1fd80">Type of lock to be acquired during concurrent operations on a table. </p>
+<p id="mrs_01_1404__af31940b35e0d4697a89ec3da2661e09f">There are following types of lock implementation: </p>
+<ul id="mrs_01_1404__u88c438c3a7f44513b767a5c034d4b35c"><li id="mrs_01_1404__l35a1d89806754fe493bc9d3723b524b4"><strong id="mrs_01_1404__b413582695104735">LOCALLOCK</strong>: Lock is created on local file system as a file. This lock is useful when only one Spark driver (or JDBCServer) runs on a machine.</li><li id="mrs_01_1404__lb54376886fba40d2bfb95cb4571ac30b"><strong id="mrs_01_1404__b627998577104735">HDFSLOCK</strong>: Lock is created on HDFS file system as a file. This lock is useful when multiple Spark applications are running and no ZooKeeper is running on a cluster.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_1404__rdbff704dba234070a7feef5649710a56"><td class="cellrowborder" valign="top" width="18.48%" headers="mcps1.3.4.2.4.1.1 "><p id="mrs_01_1404__a1d128edc571745258c7edbe9ba3ecc11">carbon.sort.intermediate.files.limit</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.310000000000002%" headers="mcps1.3.4.2.4.1.2 "><p id="mrs_01_1404__a27c4aa70d8564e0a99d97566dfe51421">20</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.209999999999994%" headers="mcps1.3.4.2.4.1.3 "><p id="mrs_01_1404__a768c79c9e8f8479cb0661e93bde4cbca">Minimum number of intermediate files. After intermediate files are generated, sort and merge the files. For details about how to optimize this parameter, see <a href="mrs_01_1421.html">Configurations for Performance Tuning</a>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r16721a38e4924c89b84327c6ce4638b8"><td class="cellrowborder" valign="top" width="18.48%" headers="mcps1.3.4.2.4.1.1 "><p id="mrs_01_1404__afc85cdb80c4a4ac7b89b22823acd0c16">carbon.csv.read.buffersize.byte</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.310000000000002%" headers="mcps1.3.4.2.4.1.2 "><p id="mrs_01_1404__a7b50d1a42565452b885c03a2e3444cb9">1048576</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.209999999999994%" headers="mcps1.3.4.2.4.1.3 "><p id="mrs_01_1404__afff5bb874e1b4d32869a49a192e8ca71">Size of CSV reading buffer</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r935fe6f8f5a7482aabf049e01225aeae"><td class="cellrowborder" valign="top" width="18.48%" headers="mcps1.3.4.2.4.1.1 "><p id="mrs_01_1404__ac4085a81bf6c45d6b7165ba21cbed74a">carbon.merge.sort.reader.thread</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.310000000000002%" headers="mcps1.3.4.2.4.1.2 "><p id="mrs_01_1404__a53e88f693ac7492cb54007a2f8364bcf">3</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.209999999999994%" headers="mcps1.3.4.2.4.1.3 "><p id="mrs_01_1404__a7ae32fe074154293895c77fead118985">Maximum number of threads used for reading intermediate files for final merging.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__row3479443513"><td class="cellrowborder" valign="top" width="18.48%" headers="mcps1.3.4.2.4.1.1 "><p id="mrs_01_1404__p149090014615">carbon.concurrent.lock.retries</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.310000000000002%" headers="mcps1.3.4.2.4.1.2 "><p id="mrs_01_1404__p4480545511">100</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.209999999999994%" headers="mcps1.3.4.2.4.1.3 "><p id="mrs_01_1404__p144807411514">Maximum number of retries used to obtain the concurrent operation lock. This parameter is used for concurrent loading.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__row1727324518912"><td class="cellrowborder" valign="top" width="18.48%" headers="mcps1.3.4.2.4.1.1 "><p id="mrs_01_1404__p108455539916">carbon.concurrent.lock.retry.timeout.sec</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.310000000000002%" headers="mcps1.3.4.2.4.1.2 "><p id="mrs_01_1404__p1327313451914">1</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.209999999999994%" headers="mcps1.3.4.2.4.1.3 "><p id="mrs_01_1404__p1062511148114">Interval between the retries to obtain the lock for concurrent operations.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__rf22aee29390544cd9001b01ba524aab5"><td class="cellrowborder" valign="top" width="18.48%" headers="mcps1.3.4.2.4.1.1 "><p id="mrs_01_1404__p8418154221210">carbon.lock.retries</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.310000000000002%" headers="mcps1.3.4.2.4.1.2 "><p id="mrs_01_1404__ac64a9d520c7244abb5e1f4abcecbf592">3</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.209999999999994%" headers="mcps1.3.4.2.4.1.3 "><p id="mrs_01_1404__abc1f57fdaf534df29e81198c9ba4af3c">Maximum number of retries to obtain the lock for any operations other than import.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r711f9cf2a1d5440db39e2d34df911aa9"><td class="cellrowborder" valign="top" width="18.48%" headers="mcps1.3.4.2.4.1.1 "><p id="mrs_01_1404__p6585161601513">carbon.lock.retry.timeout.sec</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.310000000000002%" headers="mcps1.3.4.2.4.1.2 "><p id="mrs_01_1404__a37fa7a0c1e4d452f991a634f9661f3c6">5</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.209999999999994%" headers="mcps1.3.4.2.4.1.3 "><p id="mrs_01_1404__abc9ae9bd65df4c81a17f6bd981c85ad8">Interval between the retries to obtain the lock for any operation other than import.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__rcf9ce76d3e6143b082a5107ec25d0955"><td class="cellrowborder" valign="top" width="18.48%" headers="mcps1.3.4.2.4.1.1 "><p id="mrs_01_1404__a4d5cee76082843fa9a68a426aaac8166">carbon.tempstore.location</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.310000000000002%" headers="mcps1.3.4.2.4.1.2 "><p id="mrs_01_1404__a342856d891d84fa7b960552e37581d83">/opt/Carbon/TempStoreLoc</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.209999999999994%" headers="mcps1.3.4.2.4.1.3 "><p id="mrs_01_1404__a0de169994ea44c0ab898a19994dc504c">Temporary storage location. By default, the <span class="parmvalue" id="mrs_01_1404__p493b171fe47441719874ed3d5d19a952"><b>System.getProperty("java.io.tmpdir")</b></span> method is used to obtain the value. For details about how to optimize this parameter, see the description of <span class="parmname" id="mrs_01_1404__pb2a5a0867b0b42d480111a62ba6d9fc1"><b>carbon.use.local.dir</b></span> in <a href="mrs_01_1421.html">Configurations for Performance Tuning</a>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__rea5bb4dd0bd042509ebb251372130ec6"><td class="cellrowborder" valign="top" width="18.48%" headers="mcps1.3.4.2.4.1.1 "><p id="mrs_01_1404__aba9d411604224654a29a5cb8eb78c827">carbon.load.log.counter</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.310000000000002%" headers="mcps1.3.4.2.4.1.2 "><p id="mrs_01_1404__acfb19ca530394caaaddc290a20e1b876">500000</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.209999999999994%" headers="mcps1.3.4.2.4.1.3 "><p id="mrs_01_1404__a32b2fc16036649bb98366a0b4fffbb6f">Data loading records count in logs</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r0df04c8a7a804ed7b635f7fc7adbcfc1"><td class="cellrowborder" valign="top" width="18.48%" headers="mcps1.3.4.2.4.1.1 "><p id="mrs_01_1404__a30452fd1f755406fab4797f51f10a7ce">SERIALIZATION_NULL_FORMAT</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.310000000000002%" headers="mcps1.3.4.2.4.1.2 "><p id="mrs_01_1404__ad2a6c510394d44b09d82f3a2300b3a3e">\N</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.209999999999994%" headers="mcps1.3.4.2.4.1.3 "><p id="mrs_01_1404__a1b46ad0196824b51a8973b161395caa0">Value to be replaced with NULL</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__row1281734961615"><td class="cellrowborder" valign="top" width="18.48%" headers="mcps1.3.4.2.4.1.1 "><p id="mrs_01_1404__p27207599161">carbon.skip.empty.line</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.310000000000002%" headers="mcps1.3.4.2.4.1.2 "><p id="mrs_01_1404__p4818124931616">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.209999999999994%" headers="mcps1.3.4.2.4.1.3 "><p id="mrs_01_1404__p17818144912169">Setting this property will ignore the empty lines in the CSV file during data loading.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__row12777219112"><td class="cellrowborder" valign="top" width="18.48%" headers="mcps1.3.4.2.4.1.1 "><p id="mrs_01_1404__p177771819811">carbon.load.datamaps.parallel</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.310000000000002%" headers="mcps1.3.4.2.4.1.2 "><p id="mrs_01_1404__p677791911116">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.209999999999994%" headers="mcps1.3.4.2.4.1.3 "><p id="mrs_01_1404__p377715199118">Whether to enable parallel datamap loading for all tables in all sessions. This property will improve the time to load datamaps into memory by distributing the job among executors, thus improving query performance.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r16dbcf2d54f6466f83f664497527ea32"><td class="cellrowborder" colspan="3" valign="top" headers="mcps1.3.4.2.4.1.1 mcps1.3.4.2.4.1.2 mcps1.3.4.2.4.1.3 "><p id="mrs_01_1404__aca904c76b1af42c69c27c3829b89607b"><strong id="mrs_01_1404__a1b87206bbf1c42d789bdb6a05e20c736">Merging Configuration</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r23878f85dcfe4233b9e3ed9b93134209"><td class="cellrowborder" valign="top" width="18.48%" headers="mcps1.3.4.2.4.1.1 "><p id="mrs_01_1404__af1e2caa57f1f43158564119f4db880fb">carbon.numberof.preserve.segments</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.310000000000002%" headers="mcps1.3.4.2.4.1.2 "><p id="mrs_01_1404__a14f2b5a93f76496db58c2dddf3817589">0</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.209999999999994%" headers="mcps1.3.4.2.4.1.3 "><p id="mrs_01_1404__aca2286f88a5e4458b82113f966bceddd">If you want to preserve some number of segments from being compacted, then you can set this configuration.</p>
+<p id="mrs_01_1404__aa9a4a379fabd4d64b1cb5cbbf83d112f">For example, if <span class="parmname" id="mrs_01_1404__p4500763c9e6946f890a03cedb4847cf7"><b>carbon.numberof.preserve.segments</b></span> is set to <span class="parmvalue" id="mrs_01_1404__p624fa5c81cff4fbe82f72d6b80886464"><b>2</b></span>, the latest two segments will always be excluded from the compaction.</p>
+<p id="mrs_01_1404__a26e01dc58f1942b8a79ce7112d80bb5f">No segments will be preserved by default.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r25b71bb90828495296a87476df4a9f06"><td class="cellrowborder" valign="top" width="18.48%" headers="mcps1.3.4.2.4.1.1 "><p id="mrs_01_1404__ae4c723708c914ed9a64c35fbae0255fb">carbon.allowed.compaction.days</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.310000000000002%" headers="mcps1.3.4.2.4.1.2 "><p id="mrs_01_1404__ae0ab6e707bee44b2bd801a10b01a2cd4">0</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.209999999999994%" headers="mcps1.3.4.2.4.1.3 "><p id="mrs_01_1404__aca46d4449d854e63bada3a4d335e4922">This configuration is used to control on the number of recent segments that needs to be merged.</p>
+<p id="mrs_01_1404__a9eaac55fd0454e859035871b9c7d56c4">For example, if this parameter is set to <span class="parmvalue" id="mrs_01_1404__p8d8ab73912f4444081c4f7e43679b5eb"><b>2</b></span>, the segments which are loaded in the time frame of past 2 days only will get merged. Segments which are loaded earlier than 2 days will not be merged.</p>
+<p id="mrs_01_1404__a5e9640a064fa46cfbbf1a849b1eed2e9">This configuration is disabled by default.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__rf2c613aee3034203b0df2c66b77e44ac"><td class="cellrowborder" valign="top" width="18.48%" headers="mcps1.3.4.2.4.1.1 "><p id="mrs_01_1404__a9d2d6055f42a4ffeaa36d782a8434ae3">carbon.enable.auto.load.merge</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.310000000000002%" headers="mcps1.3.4.2.4.1.2 "><p id="mrs_01_1404__a18b881ed101241b0bdcce33f8147ec4d">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.209999999999994%" headers="mcps1.3.4.2.4.1.3 "><p id="mrs_01_1404__af1c0da27f77c4ccaa2d3f5d14efb1209">Whether to enable compaction along with data loading.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__row1357105441713"><td class="cellrowborder" valign="top" width="18.48%" headers="mcps1.3.4.2.4.1.1 "><p id="mrs_01_1404__p1095985515173">carbon.merge.index.in.segment</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.310000000000002%" headers="mcps1.3.4.2.4.1.2 "><p id="mrs_01_1404__p057110548172">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.209999999999994%" headers="mcps1.3.4.2.4.1.3 "><p id="mrs_01_1404__p1157195413178">This configuration enables to merge all the CarbonIndex files (<strong id="mrs_01_1404__b1682117181796">.carbonindex</strong>) into a single MergeIndex file (<strong id="mrs_01_1404__b119915311920">.carbonindexmerge</strong>) upon data loading completion. This significantly reduces the delay in serving the first query.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r2ee3cd61ff66422a81260fa9c8d8a730"><td class="cellrowborder" colspan="3" valign="top" headers="mcps1.3.4.2.4.1.1 mcps1.3.4.2.4.1.2 mcps1.3.4.2.4.1.3 "><p id="mrs_01_1404__acff0bdc9b7cf4871a2fc0e88a353db4f"><strong id="mrs_01_1404__aa401e2d4bf2a460fb438ffdfb672764e">Query Configuration</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r416858c870f0421ab2ca272f5ad67280"><td class="cellrowborder" valign="top" width="18.48%" headers="mcps1.3.4.2.4.1.1 "><p id="mrs_01_1404__a324393cd66d245aa9f6dd13dc774f43a">max.query.execution.time</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.310000000000002%" headers="mcps1.3.4.2.4.1.2 "><p id="mrs_01_1404__a9be1f2c10b67414baa251b83bd3939a2">60</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.209999999999994%" headers="mcps1.3.4.2.4.1.3 "><p id="mrs_01_1404__a05dd68257d1148d7b1d1f8fd5288566e">Maximum time allowed for one query to be executed. </p>
+<p id="mrs_01_1404__ace0af524b98a4669862dbe17c6915ada">The unit is minute.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__rcede48bcf6e346e7b137ecac4781b9a4"><td class="cellrowborder" valign="top" width="18.48%" headers="mcps1.3.4.2.4.1.1 "><p id="mrs_01_1404__ae155bc03b3b84d69b3f19d187864307f">carbon.enableMinMax</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.310000000000002%" headers="mcps1.3.4.2.4.1.2 "><p id="mrs_01_1404__ae1871640794f465c8e6093e1f3670bdc">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.209999999999994%" headers="mcps1.3.4.2.4.1.3 "><p id="mrs_01_1404__a0b1fc2577660433c8d7ae8525edf8c23">MinMax is used to improve query performance. You can set this to <strong id="mrs_01_1404__b1908479534104735">false</strong> to disable this function.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r269eb69ee3a64a3ea543e408b06d0818"><td class="cellrowborder" valign="top" width="18.48%" headers="mcps1.3.4.2.4.1.1 "><p id="mrs_01_1404__ae91a58a683ca4229ac3f191854aa251d">carbon.lease.recovery.retry.count</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.310000000000002%" headers="mcps1.3.4.2.4.1.2 "><p id="mrs_01_1404__ae287018d2edb40f293b5ba392b6f002e">5</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.209999999999994%" headers="mcps1.3.4.2.4.1.3 "><p id="mrs_01_1404__a827259faae4b459482d8e1ca004ab83d">Maximum number of attempts that need to be made for recovering a lease on a file.</p>
+<p id="mrs_01_1404__a443f10b8d07f4bedb6305bde1faefd3e">Minimum value: <strong id="mrs_01_1404__b768500793104735">1</strong></p>
+<p id="mrs_01_1404__ac103be1ebd3949c8ae3a3f531e1a094d">Maximum value: <strong id="mrs_01_1404__b1831522372104735">50</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r130f962a2baa43948354a3dfc0cea040"><td class="cellrowborder" valign="top" width="18.48%" headers="mcps1.3.4.2.4.1.1 "><p id="mrs_01_1404__a0c0904c58cf3457aafc1c72849023561">carbon.lease.recovery.retry.interval</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.310000000000002%" headers="mcps1.3.4.2.4.1.2 "><p id="mrs_01_1404__af75109fdaffe4119b64b67dce9bd9837">1000 (ms)</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.209999999999994%" headers="mcps1.3.4.2.4.1.3 "><p id="mrs_01_1404__a3b0656c5c868466a8d58c186d7e8b041">Interval or pause time after a lease recovery attempt is made on a file.</p>
+<p id="mrs_01_1404__a5835134c2f3b47afb161d79b5d097f96">Minimum value: <strong id="mrs_01_1404__b568765828104735">1000</strong> (ms)</p>
+<p id="mrs_01_1404__a1b83d40df5644f72abcc509b27eeec11">Maximum value: <strong id="mrs_01_1404__b2144752913104735">10000</strong> (ms)</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1404__t1b6130ca31344a93b827fe435e7f26ec" frame="border" border="1" rules="all"><caption><b>Table 4 </b>Spark configuration reference in <strong id="mrs_01_1404__b23726170104735">spark-defaults.conf</strong></caption><thead align="left"><tr id="mrs_01_1404__r1f9c9656e0ec4b6da4116e922b2f9b89"><th align="left" class="cellrowborder" valign="top" width="18.3%" id="mcps1.3.5.2.4.1.1"><p id="mrs_01_1404__ad57d7837ac35491faaa60d39758b4c89"><strong id="mrs_01_1404__a670b0244bb2c4d19a270a1c0f7875e37">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="24.01%" id="mcps1.3.5.2.4.1.2"><p id="mrs_01_1404__a42cc67f1ff0244998138e3a316c91e0a"><strong id="mrs_01_1404__a7e381524fd814fc39b6ee6416d026c1c">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="57.69%" id="mcps1.3.5.2.4.1.3"><p id="mrs_01_1404__a8ad46e6e574e44288f2478dd3f2483e3"><strong id="mrs_01_1404__acb14e092ac914a9994bb3337ca652bd4">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1404__r15dcdd59aca7442a8d0bf374f73a93fb"><td class="cellrowborder" valign="top" width="18.3%" headers="mcps1.3.5.2.4.1.1 "><p id="mrs_01_1404__ac68a2ec1d0c94a8baa90c84b9c498477">spark.driver.memory</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.01%" headers="mcps1.3.5.2.4.1.2 "><p id="mrs_01_1404__a9d4e4d10cd714d5bab92ed0c03f3d831">4G</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.69%" headers="mcps1.3.5.2.4.1.3 "><p id="mrs_01_1404__ae784ee55601a4345829ab0009307a075">Memory to be used for the driver process. SparkContext has been initialized.</p>
+<div class="note" id="mrs_01_1404__nb130e06f240a430e9815b742b995b738"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1404__ae640baffad4848d8965fe7837a1b3e3f">In client mode, do not use SparkConf to set this parameter in the application because the driver JVM has been started. To configure this parameter, configure it in the <strong id="mrs_01_1404__b1273114114122">--driver-memory</strong> command-line option or in the default property file.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1404__rc2d7e4fc8b6d458ebbca32f7dab7e8ec"><td class="cellrowborder" valign="top" width="18.3%" headers="mcps1.3.5.2.4.1.1 "><p id="mrs_01_1404__a1e997d2e951342c8b344cb88f862f364">spark.executor.memory</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.01%" headers="mcps1.3.5.2.4.1.2 "><p id="mrs_01_1404__ad39216f3fa7f473e9a98b0f5b8b9bc70">4 GB</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.69%" headers="mcps1.3.5.2.4.1.3 "><p id="mrs_01_1404__a448fe9a4a4af402faebd63866e4d3535">Memory to be used for each executor process.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__r54201747c1cb46cb9a8d5abb9548eb01"><td class="cellrowborder" valign="top" width="18.3%" headers="mcps1.3.5.2.4.1.1 "><p id="mrs_01_1404__a473d0d09c01947aeae9ee638ef0a1f9d">spark.sql.crossJoin.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.01%" headers="mcps1.3.5.2.4.1.2 "><p id="mrs_01_1404__ad385292057bc4ceb9687df9d75bb8d1b">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.69%" headers="mcps1.3.5.2.4.1.3 "><p id="mrs_01_1404__a6bd4150a41334e369086ec4c5902b2b6">If the query contains a cross join, enable this property so that no error is thrown. In this case, you can use a cross join instead of a join for better performance.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1404__a56f3123938ef4fc1a776930b0a904f08">Configure the following parameters in the <span class="filepath" id="mrs_01_1404__f4131a2ceb7c84670b3845617fc947310"><b>spark-defaults.conf</b></span> file on the Spark driver.</p>
+<ul id="mrs_01_1404__ud71f2fa2572642dabafb1856e0ceb375"><li id="mrs_01_1404__l2b042083ba6c4288a5f4eba4af29c1e4">In spark-sql mode:
+<div class="tablenoborder"><a name="mrs_01_1404__ta902cd071dfb426097416a5c7034ee6c"></a><a name="ta902cd071dfb426097416a5c7034ee6c"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1404__ta902cd071dfb426097416a5c7034ee6c" frame="border" border="1" rules="all"><caption><b>Table 5 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1404__r246afbb59dcc4f34b0cb6762faa93246"><th align="left" class="cellrowborder" valign="top" width="18.3%" id="mcps1.3.7.1.1.2.4.1.1"><p id="mrs_01_1404__af494fc47cf734fd2822a335bbd8bede5"><strong id="mrs_01_1404__aca81b2c783304f3089ec3387e90ced8c">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="42.699999999999996%" id="mcps1.3.7.1.1.2.4.1.2"><p id="mrs_01_1404__a563839d5260e471ca783333c57fa830e"><strong id="mrs_01_1404__acd7d04342de549ceb543ff6d689fd450">Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="39%" id="mcps1.3.7.1.1.2.4.1.3"><p id="mrs_01_1404__ac77cf6d5162642c59c42b2847166b8fe"><strong id="mrs_01_1404__a202ce110bf734d1abd93cb1fa6a9bd99">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1404__rc1d6f0a06cdf4ea8926761f6819fee89"><td class="cellrowborder" valign="top" width="18.3%" headers="mcps1.3.7.1.1.2.4.1.1 "><p id="mrs_01_1404__a7602fc44a7c24240a72fc064894a3bfb"><span id="mrs_01_1404__pb6b3f54765194b809a255cc13c1fdc24">spark.driver.extraJavaOptions</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="42.699999999999996%" headers="mcps1.3.7.1.1.2.4.1.2 "><p id="mrs_01_1404__p103624445411">-Dlog4j.configuration=file:/opt/client/Spark2x/spark/conf/log4j.properties -Djetty.version=x.y.z -Dzookeeper.server.principal=zookeeper/hadoop.<em id="mrs_01_1404__i1954248201617">&lt;System domain name&gt;</em> -Djava.security.krb5.conf=/opt/client/KrbClient/kerberos/var/krb5kdc/krb5.conf -Djava.security.auth.login.config=/opt/client/Spark2x/spark/conf/jaas.conf -Dorg.xerial.snappy.tempdir=/opt/client/Spark2x/tmp -Dcarbon.properties.filepath=/opt/client/Spark2x/spark/conf/carbon.properties -Djava.io.tmpdir=/opt/client/Spark2x/tmp</p>
+</td>
+<td class="cellrowborder" valign="top" width="39%" headers="mcps1.3.7.1.1.2.4.1.3 "><p id="mrs_01_1404__adeb9d4c1db37460bb3169c2062a428e2"><span id="mrs_01_1404__pa89e68e0505a4f6cbb45a0a526c90205">The default value</span> <span class="filepath" id="mrs_01_1404__f01d126358c7f4f6589cca06bcfae6705"><b>/opt/client/Spark2x/spark</b></span> <span id="mrs_01_1404__p031cf640c99746bbad6d7672a966b26b">indicates <strong id="mrs_01_1404__b5594173010426">CLIENT_HOME</strong> of the client and is added to the end of the value of</span> <span class="parmname" id="mrs_01_1404__pceb90c71406945b4b24d4f9036384d64"><b>spark.driver.extraJavaOptions</b></span>. <span id="mrs_01_1404__pf263028fb00b4aabae3b46f2f5b15cb3">This parameter is used to specify the path of the</span> <span class="filepath" id="mrs_01_1404__f2c615f22157b466aa9631cedc5016f33"><b>carbon.properties</b></span><span id="mrs_01_1404__pae5ef8547eea461d84b734d362a783df">file in Driver.</span></p>
+<div class="note" id="mrs_01_1404__nf1fbea1931394260b966951f5518d513"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1404__a9b5259756fed40e783960f08475abb91">Spaces next to equal marks (=) are not allowed.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1404__row7480638145518"><td class="cellrowborder" valign="top" width="18.3%" headers="mcps1.3.7.1.1.2.4.1.1 "><p id="mrs_01_1404__p173244559580">spark.sql.session.state.builder</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.699999999999996%" headers="mcps1.3.7.1.1.2.4.1.2 "><p id="mrs_01_1404__p16299158195920">org.apache.spark.sql.hive.FIHiveACLSessionStateBuilder</p>
+</td>
+<td class="cellrowborder" valign="top" width="39%" headers="mcps1.3.7.1.1.2.4.1.3 "><p id="mrs_01_1404__p048014386559">Session state constructor.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__row1625203585916"><td class="cellrowborder" valign="top" width="18.3%" headers="mcps1.3.7.1.1.2.4.1.1 "><p id="mrs_01_1404__p134671253195915">spark.carbon.sqlastbuilder.classname</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.699999999999996%" headers="mcps1.3.7.1.1.2.4.1.2 "><p id="mrs_01_1404__p196035532115">org.apache.spark.sql.hive.CarbonInternalSqlAstBuilder</p>
+</td>
+<td class="cellrowborder" valign="top" width="39%" headers="mcps1.3.7.1.1.2.4.1.3 "><p id="mrs_01_1404__p15625173513591">AST constructor.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__row1094294219594"><td class="cellrowborder" valign="top" width="18.3%" headers="mcps1.3.7.1.1.2.4.1.1 "><p id="mrs_01_1404__p74379413117">spark.sql.catalog.class</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.699999999999996%" headers="mcps1.3.7.1.1.2.4.1.2 "><p id="mrs_01_1404__p145301609217">org.apache.spark.sql.hive.HiveACLExternalCatalog</p>
+</td>
+<td class="cellrowborder" valign="top" width="39%" headers="mcps1.3.7.1.1.2.4.1.3 "><p id="mrs_01_1404__p14943164255914">Hive External catalog to be used. This parameter is mandatory if Spark ACL is enabled.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__row186071039175920"><td class="cellrowborder" valign="top" width="18.3%" headers="mcps1.3.7.1.1.2.4.1.1 "><p id="mrs_01_1404__p1435918471510">spark.sql.hive.implementation</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.699999999999996%" headers="mcps1.3.7.1.1.2.4.1.2 "><p id="mrs_01_1404__p1285910715219">org.apache.spark.sql.hive.HiveACLClientImpl</p>
+</td>
+<td class="cellrowborder" valign="top" width="39%" headers="mcps1.3.7.1.1.2.4.1.3 "><p id="mrs_01_1404__p8607173935918">How to call the Hive client. This parameter is mandatory if Spark ACL is enabled.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__row1934117136216"><td class="cellrowborder" valign="top" width="18.3%" headers="mcps1.3.7.1.1.2.4.1.1 "><p id="mrs_01_1404__p19808220625">spark.sql.hiveClient.isolation.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.699999999999996%" headers="mcps1.3.7.1.1.2.4.1.2 "><p id="mrs_01_1404__p789915271424">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="39%" headers="mcps1.3.7.1.1.2.4.1.3 "><p id="mrs_01_1404__p13341111318213">This parameter is mandatory if Spark ACL is enabled.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+<ul id="mrs_01_1404__u8f413618fd1d4c929e2ff3103fa2e6d6"><li id="mrs_01_1404__l6c4c8098762d4052a5d77138d22e40eb">In JDBCServer mode:
+<div class="tablenoborder"><a name="mrs_01_1404__t3897ae14f205433fb0f98b79411cfa0c"></a><a name="t3897ae14f205433fb0f98b79411cfa0c"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1404__t3897ae14f205433fb0f98b79411cfa0c" frame="border" border="1" rules="all"><caption><b>Table 6 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1404__rc34e389c7357412aaa19afabfbec948a"><th align="left" class="cellrowborder" valign="top" width="18.3%" id="mcps1.3.8.1.1.2.4.1.1"><p id="mrs_01_1404__ad723fda6bb7a4b23988f9f0ff860df8e"><strong id="mrs_01_1404__a498fd496521e40b598d4c91dc32182a8">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25.06%" id="mcps1.3.8.1.1.2.4.1.2"><p id="mrs_01_1404__a92fe2262957d4790805fc7634a5b96cb"><strong id="mrs_01_1404__a0852f8cf24a64630ad4278654d9ac8b7">Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="56.64%" id="mcps1.3.8.1.1.2.4.1.3"><p id="mrs_01_1404__aeae17335d31d4200b7448cf17eb34fba"><strong id="mrs_01_1404__a9434b56edb424ec6a34e8e8d9497dccf">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1404__r914cc469dbab4f2f867aa8ed8cc141bb"><td class="cellrowborder" valign="top" width="18.3%" headers="mcps1.3.8.1.1.2.4.1.1 "><p id="mrs_01_1404__a5394d1b4143e4ad39b95f07287cdb04f">spark.driver.extraJavaOptions</p>
+</td>
+<td class="cellrowborder" valign="top" width="25.06%" headers="mcps1.3.8.1.1.2.4.1.2 "><p id="mrs_01_1404__p19142949843">-Xloggc:${SPARK_LOG_DIR}/indexserver-omm-%p-gc.log -XX:+PrintGCDetails -XX:-OmitStackTraceInFastThrow -XX:+PrintGCTimeStamps -XX:+PrintGCDateStamps -XX:MaxDirectMemorySize=512M -XX:MaxMetaspaceSize=512M -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=20 -XX:GCLogFileSize=10M -XX:OnOutOfMemoryError='kill -9 %p' -Djetty.version=x.y.z -Dorg.xerial.snappy.tempdir=${BIGDATA_HOME}/tmp/spark2x/JDBCServer/snappy_tmp -Djava.io.tmpdir=${BIGDATA_HOME}/tmp/spark2x/JDBCServer/io_tmp -Dcarbon.properties.filepath=${SPARK_CONF_DIR}/carbon.properties -Djdk.tls.ephemeralDHKeySize=2048 -Dspark.ssl.keyStore=${SPARK_CONF_DIR}/child.keystore #{java_stack_prefer}</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.64%" headers="mcps1.3.8.1.1.2.4.1.3 "><p id="mrs_01_1404__a3a0aba11dc53498ebf2d3e108e2b260d">The default value <strong id="mrs_01_1404__b1061941785104735">${SPARK_CONF_DIR}</strong> depends on a specific cluster and is added to the end of the value of the <strong id="mrs_01_1404__b1899947449104735">spark.driver.extraJavaOptions</strong> parameter. This parameter is used to specify the path of the <strong id="mrs_01_1404__b1634983568104735">carbon.properties</strong> file in Driver.</p>
+<div class="note" id="mrs_01_1404__n5840263993d34ae9a557c798602a345e"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1404__a81d83d9372e64acd98a4233ccfae8b59">Spaces next to equal marks (=) are not allowed.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1404__row15289145201615"><td class="cellrowborder" valign="top" width="18.3%" headers="mcps1.3.8.1.1.2.4.1.1 "><p id="mrs_01_1404__p10203132541618">spark.sql.session.state.builder</p>
+</td>
+<td class="cellrowborder" valign="top" width="25.06%" headers="mcps1.3.8.1.1.2.4.1.2 "><p id="mrs_01_1404__p720982511164">org.apache.spark.sql.hive.FIHiveACLSessionStateBuilder</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.64%" headers="mcps1.3.8.1.1.2.4.1.3 "><p id="mrs_01_1404__p12217125101614">Session state constructor.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__row1280281919161"><td class="cellrowborder" valign="top" width="18.3%" headers="mcps1.3.8.1.1.2.4.1.1 "><p id="mrs_01_1404__p42304254162">spark.carbon.sqlastbuilder.classname</p>
+</td>
+<td class="cellrowborder" valign="top" width="25.06%" headers="mcps1.3.8.1.1.2.4.1.2 "><p id="mrs_01_1404__p202361325101610">org.apache.spark.sql.hive.CarbonInternalSqlAstBuilder</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.64%" headers="mcps1.3.8.1.1.2.4.1.3 "><p id="mrs_01_1404__p10241152561615">AST constructor.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__row83600234169"><td class="cellrowborder" valign="top" width="18.3%" headers="mcps1.3.8.1.1.2.4.1.1 "><p id="mrs_01_1404__p142581625161612">spark.sql.catalog.class</p>
+</td>
+<td class="cellrowborder" valign="top" width="25.06%" headers="mcps1.3.8.1.1.2.4.1.2 "><p id="mrs_01_1404__p9265325141613">org.apache.spark.sql.hive.HiveACLExternalCatalog</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.64%" headers="mcps1.3.8.1.1.2.4.1.3 "><p id="mrs_01_1404__p16271025131613">Hive External catalog to be used. This parameter is mandatory if Spark ACL is enabled.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__row225512128162"><td class="cellrowborder" valign="top" width="18.3%" headers="mcps1.3.8.1.1.2.4.1.1 "><p id="mrs_01_1404__p122971825141617">spark.sql.hive.implementation</p>
+</td>
+<td class="cellrowborder" valign="top" width="25.06%" headers="mcps1.3.8.1.1.2.4.1.2 "><p id="mrs_01_1404__p15306425121612">org.apache.spark.sql.hive.HiveACLClientImpl</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.64%" headers="mcps1.3.8.1.1.2.4.1.3 "><p id="mrs_01_1404__p19312525141611">How to call the Hive client. This parameter is mandatory if Spark ACL is enabled.</p>
+</td>
+</tr>
+<tr id="mrs_01_1404__row01747971611"><td class="cellrowborder" valign="top" width="18.3%" headers="mcps1.3.8.1.1.2.4.1.1 "><p id="mrs_01_1404__p1732932581619">spark.sql.hiveClient.isolation.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="25.06%" headers="mcps1.3.8.1.1.2.4.1.2 "><p id="mrs_01_1404__p3334202510169">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.64%" headers="mcps1.3.8.1.1.2.4.1.3 "><p id="mrs_01_1404__p134122517162">This parameter is mandatory if Spark ACL is enabled.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1400.html">Using CarbonData (for MRS 3.x or Later)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1405.html b/docs/mrs/component-operation-guide/mrs_01_1405.html
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+<a name="mrs_01_1405"></a><a name="mrs_01_1405"></a>
+
+<h1 class="topictitle1">CarbonData Operation Guide</h1>
+<div id="body1595920208050"><p id="mrs_01_1405__afc8807dbfd04462bb7b0f56413247a2d"></p>
+</div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1406.html">CarbonData Quick Start</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1407.html">CarbonData Table Management</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1412.html">CarbonData Table Data Management</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1416.html">CarbonData Data Migration</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2301.html">Migrating Data on CarbonData from Spark 1.5 to Spark2x</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1400.html">Using CarbonData (for MRS 3.x or Later)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1406.html b/docs/mrs/component-operation-guide/mrs_01_1406.html
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+<a name="mrs_01_1406"></a><a name="mrs_01_1406"></a>
+
+<h1 class="topictitle1">CarbonData Quick Start</h1>
+<div id="body1595920208265"><p id="mrs_01_1406__ae3ba0b2375534d618d3040836c6f88a8">This section describes how to create CarbonData tables, load data, and query data. This quick start provides operations based on the Spark Beeline client. If you want to use Spark shell, wrap the queries with <strong id="mrs_01_1406__b289155745314">spark.sql()</strong>.</p>
+<p id="mrs_01_1406__p1649165317476"><strong id="mrs_01_1406__b35036220215">The following describes how to load data from a CSV file to a CarbonData table</strong>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1406__tc9e1ff32aac6410798846181cf7fb057" frame="border" border="1" rules="all"><caption><b>Table 1 </b>CarbonData Quick Start</caption><thead align="left"><tr id="mrs_01_1406__row9477582353"><th align="left" class="cellrowborder" valign="top" width="36.67%" id="mcps1.3.3.2.3.1.1"><p id="mrs_01_1406__p347816893518"><strong id="mrs_01_1406__b69916012493">Operation</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="63.33%" id="mcps1.3.3.2.3.1.2"><p id="mrs_01_1406__p12478984357"><strong id="mrs_01_1406__b16161912497">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1406__row6909629541"><td class="cellrowborder" valign="top" width="36.67%" headers="mcps1.3.3.2.3.1.1 "><p id="mrs_01_1406__p159101529543"><a href="#mrs_01_1406__section497653817420">Preparing a CSV File</a></p>
+</td>
+<td class="cellrowborder" valign="top" width="63.33%" headers="mcps1.3.3.2.3.1.2 "><p id="mrs_01_1406__p139109215416">Prepare the CSV file to be loaded to the CarbonData Table.</p>
+</td>
+</tr>
+<tr id="mrs_01_1406__rca77e7c8a8ff4d369172d0072e9e7234"><td class="cellrowborder" valign="top" width="36.67%" headers="mcps1.3.3.2.3.1.1 "><p id="mrs_01_1406__a1f51fbebc1f14c49a0f43c0f67b9fd3b"><a href="#mrs_01_1406__s2af9b9318a0f44c48f3b0fa8217a12fe">Connecting to CarbonData</a></p>
+</td>
+<td class="cellrowborder" valign="top" width="63.33%" headers="mcps1.3.3.2.3.1.2 "><p id="mrs_01_1406__a252b8024092d429c876204b00744711f">Connect to CarbonData before performing any operations on CarbonData.</p>
+</td>
+</tr>
+<tr id="mrs_01_1406__r8996ea6ada284683b0ce67ee3fb24d40"><td class="cellrowborder" valign="top" width="36.67%" headers="mcps1.3.3.2.3.1.1 "><p id="mrs_01_1406__a24a914c6ee09442598968b4a49d4a912"><a href="#mrs_01_1406__sffd808b54dab44fc8613a01cc8e39baf">Creating a CarbonData Table</a></p>
+</td>
+<td class="cellrowborder" valign="top" width="63.33%" headers="mcps1.3.3.2.3.1.2 "><p id="mrs_01_1406__a43dd7a9f9a054d93a5f481ebcd58611b">Create a CarbonData table to load data and perform query operations.</p>
+</td>
+</tr>
+<tr id="mrs_01_1406__r4f97d98ae5bd49698b6d5d3dfa4e1de2"><td class="cellrowborder" valign="top" width="36.67%" headers="mcps1.3.3.2.3.1.1 "><p id="mrs_01_1406__acda32a2fac9b4aaaaa815adc739c4413"><a href="#mrs_01_1406__s79b594787a2a46819cf07478d4a0d81c">Loading Data to a CarbonData Table</a></p>
+</td>
+<td class="cellrowborder" valign="top" width="63.33%" headers="mcps1.3.3.2.3.1.2 "><p id="mrs_01_1406__a61096dff64ef4425b6b371ee89c17436">Load data from CSV to the created table.</p>
+</td>
+</tr>
+<tr id="mrs_01_1406__reff67320c9a84bac8534a458e514346f"><td class="cellrowborder" valign="top" width="36.67%" headers="mcps1.3.3.2.3.1.1 "><p id="mrs_01_1406__a28fb1826868041b88297ca2bb0694dab"><a href="#mrs_01_1406__s68e9413d1b234b2d91557a1739fc7828">Querying Data from a CarbonData Table</a></p>
+</td>
+<td class="cellrowborder" valign="top" width="63.33%" headers="mcps1.3.3.2.3.1.2 "><p id="mrs_01_1406__aa9f561a86e874564b7648658a8355c3e">Perform query operations such as filters and groupby.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="section" id="mrs_01_1406__section497653817420"><a name="mrs_01_1406__section497653817420"></a><a name="section497653817420"></a><h4 class="sectiontitle">Preparing a CSV File</h4><ol id="mrs_01_1406__ol818835614218"><li id="mrs_01_1406__li218825619423">Prepare a CSV file named <strong id="mrs_01_1406__b8623182012356">test.csv</strong> on the local PC. An example is as follows:<pre class="screen" id="mrs_01_1406__screen101887566427">13418592122,1001,<em id="mrs_01_1406__i195961910122118"> MAC address</em>, 2017-10-23 15:32:30,2017-10-24 15:32:30,62.50,74.56
+13418592123 1002, <em id="mrs_01_1406__i5329943135212"> MAC address</em>, 2017-10-23 16:32:30,2017-10-24 16:32:30,17.80,76.28
+13418592124,1003,<em id="mrs_01_1406__i10560049165210"> MAC address</em>, 2017-10-23 17:32:30,2017-10-24 17:32:30,20.40,92.94
+13418592125 1004, <em id="mrs_01_1406__i165578586521"> MAC address</em>, 2017-10-23 18:32:30,2017-10-24 18:32:30,73.84,8.58
+13418592126,1005,<em id="mrs_01_1406__i1461010419532"> MAC address</em>, 2017-10-23 19:32:30,2017-10-24 19:32:30,80.50,88.02
+13418592127 1006, <em id="mrs_01_1406__i8176990538"> MAC address</em>, 2017-10-23 20:32:30,2017-10-24 20:32:30,65.77,71.24
+13418592128,1007,<em id="mrs_01_1406__i229301511533"> MAC address</em>, 2017-10-23 21:32:30,2017-10-24 21:32:30,75.21,76.04
+13418592129,1008,<em id="mrs_01_1406__i128916200535"> MAC address</em>, 2017-10-23 22:32:30,2017-10-24 22:32:30,63.30,94.40
+13418592130, 1009,<em id="mrs_01_1406__i659826145311"> MAC address</em>, 2017-10-23 23:32:30,2017-10-24 23:32:30,95.51,50.17
+13418592131,1010,<em id="mrs_01_1406__i1230191222111"> MAC address</em>, 2017-10-24 00:32:30,2017-10-25 00:32:30,39.62,99.13</pre>
+</li><li id="mrs_01_1406__li0188135634215">Use WinSCP to import the CSV file to the directory of the node where the client is installed, for example, <strong id="mrs_01_1406__b1458913416509">/opt</strong>.</li><li id="mrs_01_1406__li0451175113431">Log in to FusionInsight Manager and choose <strong id="mrs_01_1406__b14797742163810">System</strong>. In the navigation pane on the left, choose <strong id="mrs_01_1406__b186431345163815">Permission</strong> &gt; <strong id="mrs_01_1406__b161711506387">User</strong>, click <strong id="mrs_01_1406__b19138298516">Create</strong> to create human-machine user <strong id="mrs_01_1406__b17191623133913">sparkuser</strong>, and add the user to user groups hadoop (primary group) and hive.</li><li id="mrs_01_1406__li144511151174317">Run the following commands to go to the client installation directory, load environment variables, and authenticate the user.<p id="mrs_01_1406__p745105119433"><a name="mrs_01_1406__li144511151174317"></a><a name="li144511151174317"></a><strong id="mrs_01_1406__b167712182212">cd /</strong><em id="mrs_01_1406__i15683101882110">Client installation directory</em></p>
+<p id="mrs_01_1406__p204516513438"><strong id="mrs_01_1406__b1451195174311">source ./bigdata_env</strong></p>
+<p id="mrs_01_1406__p945145112431"><strong id="mrs_01_1406__b4451135115430">source ./Spark2x/component_env</strong></p>
+<p id="mrs_01_1406__p945155184318"><strong id="mrs_01_1406__b18451155144315">kinit sparkuser</strong></p>
+</li><li id="mrs_01_1406__li122143593123"><a name="mrs_01_1406__li122143593123"></a><a name="li122143593123"></a>Run the following command to upload the CSV file to the <strong id="mrs_01_1406__b1452155544412">/data</strong> directory of the HDFS.<p id="mrs_01_1406__p862595921214"><strong id="mrs_01_1406__b8121318134518">hdfs dfs -put /opt/test.csv /</strong><strong id="mrs_01_1406__b172356291454">data</strong><strong id="mrs_01_1406__b612191812457">/</strong></p>
+</li></ol>
+</div>
+<div class="section" id="mrs_01_1406__s2af9b9318a0f44c48f3b0fa8217a12fe"><a name="mrs_01_1406__s2af9b9318a0f44c48f3b0fa8217a12fe"></a><a name="s2af9b9318a0f44c48f3b0fa8217a12fe"></a><h4 class="sectiontitle">Connecting to CarbonData</h4><ul id="mrs_01_1406__u6ab77193f8f64f989853e2baf78058cb"><li id="mrs_01_1406__le269de8821ba405fa0c4bcb404486367">Use Spark SQL or Spark shell to connect to Spark and run Spark SQL commands.</li><li id="mrs_01_1406__l71ad3c644a0a44b09dc4cd2cc31acc19">Run the following commands to start the JDBCServer and use a JDBC client (for example, Spark Beeline) to connect to the JDBCServer.<p id="mrs_01_1406__p18120635194614"><a name="mrs_01_1406__l71ad3c644a0a44b09dc4cd2cc31acc19"></a><a name="l71ad3c644a0a44b09dc4cd2cc31acc19"></a><strong id="mrs_01_1406__b18120835194610">cd ./Spark2x/spark/bin</strong></p>
+<p id="mrs_01_1406__p1012083524613"><strong id="mrs_01_1406__b1912093515460">./spark-beeline</strong></p>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1406__sffd808b54dab44fc8613a01cc8e39baf"><a name="mrs_01_1406__sffd808b54dab44fc8613a01cc8e39baf"></a><a name="sffd808b54dab44fc8613a01cc8e39baf"></a><h4 class="sectiontitle">Creating a CarbonData Table</h4><p id="mrs_01_1406__a132bc4ce9c8a4976a361e2a1ed30fbae">After connecting Spark Beeline with the JDBCServer, create a CarbonData table to load data and perform query operations. Run the following commands to create a simple table:</p>
+<p id="mrs_01_1406__p7897153725816"><strong id="mrs_01_1406__b555244465815">create table  x1 (imei string, deviceInformationId int, mac string, productdate timestamp, updatetime timestamp, gamePointId double, contractNumber double) STORED AS carbondata TBLPROPERTIES ('SORT_COLUMNS'='imei,mac');</strong></p>
+<p id="mrs_01_1406__adf903c5382e1440cb85d6abd32e9af67">The command output is as follows:</p>
+<pre class="screen" id="mrs_01_1406__s0bde6cee8a13468b815e9b05096aadf2">+---------+
+| Result  |
++---------+
++---------+
+No rows selected (1.093 seconds)</pre>
+</div>
+<div class="section" id="mrs_01_1406__s79b594787a2a46819cf07478d4a0d81c"><a name="mrs_01_1406__s79b594787a2a46819cf07478d4a0d81c"></a><a name="s79b594787a2a46819cf07478d4a0d81c"></a><h4 class="sectiontitle">Loading Data to a CarbonData Table</h4><p id="mrs_01_1406__a6fc2a8f1d9c94f27bb97de59ccc4d822">After you have created a CarbonData table, you can load the data from CSV to the created table.</p>
+<p id="mrs_01_1406__a59f53a20e20b488e83ae5dd3926f704a">Run the following command with required parameters to load data from CSV. The column names of the CarbonData table must match the column names of the CSV file.</p>
+<p id="mrs_01_1406__af01eb112638d4a25b3aca51b14b07995"><strong id="mrs_01_1406__b1485119505372">LOAD DATA inpath 'hdfs://hacluster/data/</strong><em id="mrs_01_1406__i75582513370">test.csv</em><strong id="mrs_01_1406__b1018144183814">' into table </strong><em id="mrs_01_1406__i5922443386">x1</em><strong id="mrs_01_1406__b51817423817"> options('DELIMITER'=',', 'QUOTECHAR'='"','FILEHEADER'='imei, deviceinformationid,mac, productdate,updatetime, gamepointid,contractnumber');</strong></p>
+<p id="mrs_01_1406__ac6c375c07b6c4fab83a1a81e64a6d106"><span class="filepath" id="mrs_01_1406__f0f2197f7f5584322a4d7162988558437"><b>test.csv</b></span> is the CSV file prepared in <a href="#mrs_01_1406__section497653817420">Preparing a CSV File</a> and <span class="filepath" id="mrs_01_1406__f84feff9a8a904f00b039794afb492369"><b>x1</b></span> is the table name.</p>
+<p id="mrs_01_1406__a574ab7d6706d46aca3d50ef661dee431">The CSV example file is as follows:</p>
+<pre class="screen" id="mrs_01_1406__s3569e87c602c4d24bee8182682c18dd4">13418592122,1001,<em id="mrs_01_1406__i2238143711528"> MAC address</em>, 2017-10-23 15:32:30,2017-10-24 15:32:30,62.50,74.56
+13418592123 1002, <em id="mrs_01_1406__i120961070"> MAC address</em>, 2017-10-23 16:32:30,2017-10-24 16:32:30,17.80,76.28
+13418592124,1003,<em id="mrs_01_1406__i224651844"> MAC address</em>, 2017-10-23 17:32:30,2017-10-24 17:32:30,20.40,92.94
+13418592125 1004, <em id="mrs_01_1406__i401281217"> MAC address</em>, 2017-10-23 18:32:30,2017-10-24 18:32:30,73.84,8.58
+13418592126,1005,<em id="mrs_01_1406__i1509909288"> MAC address</em>, 2017-10-23 19:32:30,2017-10-24 19:32:30,80.50,88.02
+13418592127 1006, <em id="mrs_01_1406__i1042901796"> MAC address</em>, 2017-10-23 20:32:30,2017-10-24 20:32:30,65.77,71.24
+13418592128,1007,<em id="mrs_01_1406__i1705242573"> MAC address</em>, 2017-10-23 21:32:30,2017-10-24 21:32:30,75.21,76.04
+13418592129,1008,<em id="mrs_01_1406__i1200047"> MAC address</em>, 2017-10-23 22:32:30,2017-10-24 22:32:30,63.30,94.40
+13418592130, 1009,<em id="mrs_01_1406__i365030345"> MAC address</em>, 2017-10-23 23:32:30,2017-10-24 23:32:30,95.51,50.17
+13418592131,1010,<em id="mrs_01_1406__i144547353535"> MAC address</em>, 2017-10-24 00:32:30,2017-10-25 00:32:30,39.62,99.13</pre>
+<p id="mrs_01_1406__add5d2c8a3ea443da9dc289195d5a7bd1">The command output is as follows:</p>
+<pre class="screen" id="mrs_01_1406__s238251f4d7e04e05be734d01d51d35f6">+------------+
+|Segment ID  |
++------------+
+|0           |
++------------+
+No rows selected (3.039 seconds)</pre>
+</div>
+<div class="section" id="mrs_01_1406__s68e9413d1b234b2d91557a1739fc7828"><a name="mrs_01_1406__s68e9413d1b234b2d91557a1739fc7828"></a><a name="s68e9413d1b234b2d91557a1739fc7828"></a><h4 class="sectiontitle">Querying Data from a CarbonData Table</h4><p id="mrs_01_1406__a424f8ab3e4bb46098ab6092f4cc066f8">After a CarbonData table is created and the data is loaded, you can perform query operations as required. Some query operations are provided as examples.</p>
+<ul id="mrs_01_1406__u35a27d6f28644b0fbe301eae9f99aa4e"><li id="mrs_01_1406__l7f4c4fcb65674ed9923fce7f1497b97e"><strong id="mrs_01_1406__b1216027195415">Obtaining the number of records</strong><p id="mrs_01_1406__abda24e0f5e634590a77b909201390de1">Run the following command to obtain the number of records in the CarbonData table:</p>
+<p id="mrs_01_1406__a2bdaf1ec9afd4ff8bb80a2d132f1de11"><b><span class="cmdname" id="mrs_01_1406__cmdname17438204511388">select count(*) from x1;</span></b></p>
+</li><li id="mrs_01_1406__l233e7fe5540a4acab1a0f4182a2d2aa5"><strong id="mrs_01_1406__b1965443114548">Querying with the groupby condition</strong><p id="mrs_01_1406__a1f4a3640520c4acfb44b489c0abffac5">Run the following command to obtain the <strong id="mrs_01_1406__b1573158175420">deviceinformationid</strong> records without repetition in the CarbonData table:</p>
+<p id="mrs_01_1406__a88b1b251a7cc43a7a9907c3790bb0b7e"><b><span class="cmdname" id="mrs_01_1406__cmdname19302194219380">select deviceinformationid,count (distinct deviceinformationid) from x1 group by deviceinformationid;</span></b></p>
+</li><li id="mrs_01_1406__l68f35b253090447f84e1ba2c7c8e7fe5"><strong id="mrs_01_1406__b0116352557">Querying with Filter</strong><p id="mrs_01_1406__a4a76d68008a247a1b3b99eafcc6cc989">Run the following command to obtain specific <strong id="mrs_01_1406__b023833145512">deviceinformationid</strong> records:</p>
+<p id="mrs_01_1406__aa1bcbe4e46584a23b3f9161350cb4380"><b><span class="cmdname" id="mrs_01_1406__cmdname7302034165320">select * from x1 where deviceinformationid='1010';</span></b></p>
+</li></ul>
+<div class="note" id="mrs_01_1406__n17bebcb97003447ea9a95ecf1cf1fd1f"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1406__af1105a524b0b4a83a227063b91075966">If the query result has non-English characters, the columns in the query result may not be aligned. This is because characters of different languages occupy different widths.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1406__s1ab71eae69124272b091d392642421fc"><h4 class="sectiontitle">Using CarbonData on Spark-shell</h4><p id="mrs_01_1406__ae5cad4ad44ca4debb65181e12a57ba11">If you need to use CarbonData on a Spark-shell, you need to create a CarbonData table, load data to the CarbonData table, and query data in CarbonData as follows:</p>
+<pre class="screen" id="mrs_01_1406__saaf0f2c736d54c8ab8c7b4376a24e5aa">spark.sql("CREATE TABLE x2(imei string, deviceInformationId int, mac string, productdate timestamp, updatetime timestamp, gamePointId double, contractNumber double) STORED AS carbondata")
+spark.sql("LOAD DATA inpath 'hdfs://hacluster/data/x1_without_header.csv' into table x2 options('DELIMITER'=',', 'QUOTECHAR'='\"','FILEHEADER'='imei, deviceinformationid,mac, productdate,updatetime, gamepointid,contractnumber')")
+spark.sql("SELECT * FROM x2").show()</pre>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1405.html">CarbonData Operation Guide</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1407.html b/docs/mrs/component-operation-guide/mrs_01_1407.html
new file mode 100644
index 000000000..c16011126
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1407.html
@@ -0,0 +1,21 @@
+<a name="mrs_01_1407"></a><a name="mrs_01_1407"></a>
+
+<h1 class="topictitle1">CarbonData Table Management</h1>
+<div id="body1595920208266"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1408.html">About CarbonData Table</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1409.html">Creating a CarbonData Table</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1410.html">Deleting a CarbonData Table</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1411.html">Modify the CarbonData Table</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1405.html">CarbonData Operation Guide</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1408.html b/docs/mrs/component-operation-guide/mrs_01_1408.html
new file mode 100644
index 000000000..e6b2fdac3
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1408.html
@@ -0,0 +1,101 @@
+<a name="mrs_01_1408"></a><a name="mrs_01_1408"></a>
+
+<h1 class="topictitle1">About CarbonData Table</h1>
+<div id="body1595920209088"><div class="section" id="mrs_01_1408__scb4cf98e0e6c4e978b9db941d52f79a6"><h4 class="sectiontitle">Overview</h4><p id="mrs_01_1408__a66f4eb29431d4ae89f861bd15c16ed79">In CarbonData, data is stored in entities called tables. CarbonData tables are similar to RDBMS tables. RDBMS data is stored in a table consisting of rows and columns. CarbonData tables store structured data, and have fixed columns and data types.</p>
+</div>
+<div class="section" id="mrs_01_1408__s600fbee10995464a8dc9e041924de837"><h4 class="sectiontitle">Supported Data Types</h4><p id="mrs_01_1408__a9e2502cb96af44f787cb6a19f02dfe0c">CarbonData tables support the following data types:</p>
+<ul id="mrs_01_1408__ub7443a2004784af4b7357869b8d7fd22"><li id="mrs_01_1408__l7473deb690de4479b6dcc8249e489a8c">Int</li><li id="mrs_01_1408__l55b04babe206467c948ae255873733ac">String</li><li id="mrs_01_1408__lff3df56bb20c40fe80104526675012e2">BigInt</li><li id="mrs_01_1408__li02181435172310">Smallint</li><li id="mrs_01_1408__li59431840112316">Char</li><li id="mrs_01_1408__li1788174422314">Varchar</li><li id="mrs_01_1408__li17177144982316">Boolean</li><li id="mrs_01_1408__l8988e2e3958247788936f56bfb780f02">Decimal</li><li id="mrs_01_1408__l7970230fd6ba4a5eb1639db0035944f9">Double</li><li id="mrs_01_1408__lf19cc2e63d754c3d922270a15f1f8ddc">TimeStamp</li><li id="mrs_01_1408__l13bf8a0439dd42efb5dea19e3f2319d5">Date</li><li id="mrs_01_1408__li588420041818">Array</li><li id="mrs_01_1408__li39197381817">Struct</li><li id="mrs_01_1408__li674211681819">Map</li></ul>
+<p id="mrs_01_1408__a97069f72dfc34aa0a7fc555129f315b4">The following table describes supported data types and their respective values range.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1408__tef6b876fad9a44e19a73337b97e3d710" frame="border" border="1" rules="all"><caption><b>Table 1 </b>CarbonData data types</caption><thead align="left"><tr id="mrs_01_1408__r998298b9e0ee4e8aa69e7d0594674818"><th align="left" class="cellrowborder" valign="top" width="30.64%" id="mcps1.3.2.5.2.3.1.1"><p id="mrs_01_1408__a0c84c4019cd840ecbff6c0d3206e6b62"><strong id="mrs_01_1408__b18531237175410">Data Type</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="69.36%" id="mcps1.3.2.5.2.3.1.2"><p id="mrs_01_1408__af49f9908e6974a74bb5621dc481e433f"><strong id="mrs_01_1408__b86721943195413">Value Range</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1408__rd2f5d852a2bc452aaad901631d0051f0"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.5.2.3.1.1 "><p id="mrs_01_1408__af2fdd14c20ae4d308bd30851d923b4b8">Int</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.5.2.3.1.2 "><p id="mrs_01_1408__a28d3263d7af04344a0565697980bd02b">4-byte signed integer ranging from -2,147,483,648 to 2,147,483,647.</p>
+<div class="note" id="mrs_01_1408__nf8a6e70e9c634ae0b03ee45ebd6acecf"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1408__a7bf1645da93945bc8f853cc1cbf0fee9">If a non-dictionary column is of the <strong id="mrs_01_1408__b11973547175410">int</strong> data type, it is internally stored as the <strong id="mrs_01_1408__b11978184712543">BigInt</strong> type.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1408__rddf06a76469b4746beb3696d2a0afd7a"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.5.2.3.1.1 "><p id="mrs_01_1408__a74695dcc2a7f40099ea2df338489d6f8">String</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.5.2.3.1.2 "><p id="mrs_01_1408__a896b1518b0ec4fd69ca381a4b7c01727">100,000 characters</p>
+<div class="note" id="mrs_01_1408__na68917bebadb484b95cf29ee4d004591"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1408__a959ed196cd434bc285a0d234c98491cf">If the <strong id="mrs_01_1408__b12341529135520">CHAR</strong> or <strong id="mrs_01_1408__b836613114553">VARCHAR</strong> data type is used in <b><span class="cmdname" id="mrs_01_1408__cmdname185615331390">CREATE TABLE</span></b>, the two data types are automatically converted to the String data type.</p>
+<p id="mrs_01_1408__p17277177810">If a column contains more than 32,000 characters, add the column to the <strong id="mrs_01_1408__b20984451145519">LONG_STRING_COLUMNS</strong> attribute of the <strong id="mrs_01_1408__b174301755105518">tblproperties</strong> table during table creation.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1408__r2906aa4cdff84107a2da143b507ca09b"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.5.2.3.1.1 "><p id="mrs_01_1408__aeb8596c52b2b47858ed041325878f229">BigInt</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.5.2.3.1.2 "><p id="mrs_01_1408__afd100283ac744f8e8ac6abc0776f9ca6">64-bit value ranging from -9,223,372,036,854,775,808 to 9,223,372,036,854,775,807</p>
+</td>
+</tr>
+<tr id="mrs_01_1408__row1947361932617"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.5.2.3.1.1 "><p id="mrs_01_1408__p74732193266">SmallInt</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.5.2.3.1.2 "><p id="mrs_01_1408__p047331922618">–32,768 to 32,767</p>
+</td>
+</tr>
+<tr id="mrs_01_1408__row181412302712"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.5.2.3.1.1 "><p id="mrs_01_1408__p58146310273">Char</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.5.2.3.1.2 "><p id="mrs_01_1408__p16814937274">A to Z and a to z</p>
+</td>
+</tr>
+<tr id="mrs_01_1408__row13804193095118"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.5.2.3.1.1 "><p id="mrs_01_1408__p19804330175111">Varchar</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.5.2.3.1.2 "><p id="mrs_01_1408__p780453075120">A to Z, a to z, and 0 to 9</p>
+</td>
+</tr>
+<tr id="mrs_01_1408__row21456355407"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.5.2.3.1.1 "><p id="mrs_01_1408__p1514733524015">Boolean</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.5.2.3.1.2 "><p id="mrs_01_1408__p3147113516408"><strong id="mrs_01_1408__b15170103545612">true</strong> or <strong id="mrs_01_1408__b217514350561">false</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_1408__reb327b19072e41b5be810415614be3eb"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.5.2.3.1.1 "><p id="mrs_01_1408__ab5903455ae3644c0a8684cc52ea6d0e1">Decimal</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.5.2.3.1.2 "><p id="mrs_01_1408__a1b0dec0ac8bd4e449d357cbfb76d2a1b">The default value is (10,0) and maximum value is (38,38).</p>
+<div class="note" id="mrs_01_1408__nebe2151cfff74fbcb191a2be967bee90"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1408__aaf7a39d23c1343d3a3d76dc673981455">When query with filters, append <strong id="mrs_01_1408__b112204612561">BD</strong> to the number to achieve accurate results. For example, <strong id="mrs_01_1408__b17693204811563">select * from carbon_table where num = 1234567890123456.22BD</strong>.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1408__r3f850cdbf20b49f2a5f81365a4147df2"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.5.2.3.1.1 "><p id="mrs_01_1408__a85eb2d0433fa46a9be17cd290e4d65a0">Double</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.5.2.3.1.2 "><p id="mrs_01_1408__a8ed69253314b4b40b2a887a3207f0579">64-bit value ranging from 4.9E-324 to 1.7976931348623157E308</p>
+</td>
+</tr>
+<tr id="mrs_01_1408__r906e24fd1d194dfcb14223372b7a7962"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.5.2.3.1.1 "><p id="mrs_01_1408__ad5efd5c17a1945feaeac3af762f163ef">TimeStamp</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.5.2.3.1.2 "><p id="mrs_01_1408__a6b8ad27afec748c29d8d18e221d2bd91">The default format is <strong id="mrs_01_1408__b118603570563">yyyy-MM-dd HH:mm:ss</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1408__r1277897f4fe44f79a6b4f67fe48d7c3c"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.5.2.3.1.1 "><p id="mrs_01_1408__a53b7de4f613a4f958183723906e61d2d">Date</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.36%" headers="mcps1.3.2.5.2.3.1.2 "><p id="mrs_01_1408__ae0ea50e379ce4fd6be0c6209649551fb">The <strong id="mrs_01_1408__b4378188571">DATE</strong> data type is used to store calendar dates. The default format is <strong id="mrs_01_1408__b206119108575">yyyy-MM-DD</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1408__row1294910421405"><td class="cellrowborder" valign="top" width="30.64%" headers="mcps1.3.2.5.2.3.1.1 "><p id="mrs_01_1408__p494934210019">Array&lt;data_type&gt;</p>
+</td>
+<td class="cellrowborder" rowspan="3" valign="top" width="69.36%" headers="mcps1.3.2.5.2.3.1.2 "><p id="mrs_01_1408__p1395024220011">N/A</p>
+<div class="note" id="mrs_01_1408__note562206151116"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1408__p11622613114">Currently, only two layers of complex types can be nested.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1408__row33811251356"><td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.3.1.1 "><p id="mrs_01_1408__p838212251154">Struct&lt;col_name: data_type COMMENT col_comment, ...&gt;</p>
+</td>
+</tr>
+<tr id="mrs_01_1408__row12625720151018"><td class="cellrowborder" valign="top" headers="mcps1.3.2.5.2.3.1.1 "><p id="mrs_01_1408__p0625162091013">Map&lt;primitive_type, data_type&gt;</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1407.html">CarbonData Table Management</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1409.html b/docs/mrs/component-operation-guide/mrs_01_1409.html
new file mode 100644
index 000000000..7f36165bb
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1409.html
@@ -0,0 +1,75 @@
+<a name="mrs_01_1409"></a><a name="mrs_01_1409"></a>
+
+<h1 class="topictitle1">Creating a CarbonData Table</h1>
+<div id="body1595920209325"><div class="section" id="mrs_01_1409__s1e1672070d2d4d6a9095a5a2ab9eb77f"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1409__a7217065fd4da4708aad53cf7d887f65e">A CarbonData table must be created to load and query data. You can run the <b><span class="cmdname" id="mrs_01_1409__cmdname695818234011">Create Table</span></b> command to create a table. This command is used to create a table using custom columns.</p>
+</div>
+<div class="section" id="mrs_01_1409__s65384e6e05654e68ae554d7aea94f0d9"><h4 class="sectiontitle">Creating a Table with Self-Defined Columns</h4><p id="mrs_01_1409__a6c3abae1fdf94b03ba29ebfbc71adf5c">Users can create a table by specifying its columns and data types.</p>
+<p id="mrs_01_1409__afe350197ca664de5892d34d6b3d304f7">Sample command:</p>
+<p id="mrs_01_1409__a80d46a8b31684ba884fd0fcbcc847f5d"><b><span class="cmdname" id="mrs_01_1409__cmdname1683310154018">CREATE TABLE</span></b> <i><span class="varname" id="mrs_01_1409__v3c4bca6fad6947678fa02315233f0321">IF NOT EXISTS productdb.productSalesTable (</span></i></p>
+<p id="mrs_01_1409__a86aafc753e0f41d2bdf5827c2baa8492"><i><span class="varname" id="mrs_01_1409__va1fd19c45f1c4672b7addc88daf5372e">productNumber Int,</span></i></p>
+<p id="mrs_01_1409__a164fd864acac4c2daa9df625414d8bb8"><i><span class="varname" id="mrs_01_1409__vd92f144f61744cb69f624d99d614db2b">productName String,</span></i></p>
+<p id="mrs_01_1409__a87d6e67dbdd84982905f21a43acb0fcc"><i><span class="varname" id="mrs_01_1409__v54a7069e430d4bd48c785eb6aa92e7ce">storeCity String,</span></i></p>
+<p id="mrs_01_1409__ac379dbed0da74c7c992f1a029e021c80"><i><span class="varname" id="mrs_01_1409__v09ba31b4876847b19db96691335eac58">storeProvince String,</span></i></p>
+<p id="mrs_01_1409__acac02c4c50a54059ae4e9c8daddfa835"><i><span class="varname" id="mrs_01_1409__vaba3b0002cb844acaff61bf3191654dc">productCategory String,</span></i></p>
+<p id="mrs_01_1409__a84c811ce3c864556b076682834c1c7c7"><i><span class="varname" id="mrs_01_1409__v6512308ff65f4def8acd7fabf03df493">productBatch String,</span></i></p>
+<p id="mrs_01_1409__aa77fd36babb64956b6d4557140409b8b"><i><span class="varname" id="mrs_01_1409__vc1c0b1f5373c4e0596fef5a2d4b9ac8a">saleQuantity Int,</span></i></p>
+<p id="mrs_01_1409__acff6b543cdea4629a4d92d0d142ae4ed"><i><span class="varname" id="mrs_01_1409__v96546dde261743409542e10998e2e2a0">revenue Int)</span></i></p>
+<p id="mrs_01_1409__a7e418ef4b407490bbecf1d0ddb29d0bb">STORED AS <i><span class="varname" id="mrs_01_1409__v920da173d64a47a491008b43e8b00c6c">carbondata</span></i></p>
+<p id="mrs_01_1409__a8e322197408f428f8294a55e453ddfc9"><i><span class="varname" id="mrs_01_1409__v0b8225aa6d6f42c297b42a318bee7445">TBLPROPERTIES (</span></i></p>
+<p id="mrs_01_1409__ac46c2cc14a25489098bba5e7a301b084"><i><span class="varname" id="mrs_01_1409__v1951b10d63624a53a79a228df1ef9c88">'table_blocksize'='128');</span></i></p>
+<p id="mrs_01_1409__a3e7206799f6147a4b2bee76c515a8047">The following table describes parameters of preceding commands.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1409__tc729cb893828400ebac60d7f85c8341d" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1409__r62c3e7819ba44f448855b4ed3ffc26ff"><th align="left" class="cellrowborder" valign="top" width="25.91%" id="mcps1.3.2.17.2.3.1.1"><p id="mrs_01_1409__abaeef1fb5ff64ccf9a0838116f951b63">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="74.09%" id="mcps1.3.2.17.2.3.1.2"><p id="mrs_01_1409__a5bbb9ee7675342318aad357a80299094">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1409__r1b05062b6fb64654a2bfdf4fe559e3f8"><td class="cellrowborder" valign="top" width="25.91%" headers="mcps1.3.2.17.2.3.1.1 "><p id="mrs_01_1409__ad68efe348bcb4cffa18003b26421bbde">productSalesTable</p>
+</td>
+<td class="cellrowborder" valign="top" width="74.09%" headers="mcps1.3.2.17.2.3.1.2 "><p id="mrs_01_1409__ad214a9438a33487682430e9a325d3928">Table name. The table is used to load data for analysis.</p>
+<p id="mrs_01_1409__a17fb33f6dcf44416924afe70dd43b734">The table name consists of letters, digits, and underscores (_).</p>
+</td>
+</tr>
+<tr id="mrs_01_1409__r6a7b8eaa983f432789536c9022706869"><td class="cellrowborder" valign="top" width="25.91%" headers="mcps1.3.2.17.2.3.1.1 "><p id="mrs_01_1409__a401d4ecee01743ba9c032fc5f3f6c8c1">productdb</p>
+</td>
+<td class="cellrowborder" valign="top" width="74.09%" headers="mcps1.3.2.17.2.3.1.2 "><p id="mrs_01_1409__aa3fcd8e8bfe342c39f37514b58bd1db5">Database name. The database maintains logical connections with tables stored in it to identify and manage the tables.</p>
+<p id="mrs_01_1409__a24f1d6de72b64076801bebb6ce2d34fa">The database name consists of letters, digits, and underscores (_).</p>
+</td>
+</tr>
+<tr id="mrs_01_1409__re48da82a38ad486dafd5cb8cf62f2771"><td class="cellrowborder" valign="top" width="25.91%" headers="mcps1.3.2.17.2.3.1.1 "><p id="mrs_01_1409__a24478bc52655492ab1b2bba19abf0d4d">productName</p>
+<p id="mrs_01_1409__a42ed6fa588f04cea83a5300a7865300c">storeCity</p>
+<p id="mrs_01_1409__aeb58b9b36a374265966f467b7d8b69fa">storeProvince</p>
+<p id="mrs_01_1409__a96c7950a6ccc42e5a1b1118a798648ff">procuctCategory</p>
+<p id="mrs_01_1409__a26eb8b65bfaa4957a0ec60ec04f54181">productBatch</p>
+<p id="mrs_01_1409__a414d1a3dbc2748bf95d7142cd0b21106">saleQuantity</p>
+<p id="mrs_01_1409__a4471122bc35d47e99234f5d5c0efe4d9">revenue</p>
+</td>
+<td class="cellrowborder" valign="top" width="74.09%" headers="mcps1.3.2.17.2.3.1.2 "><p id="mrs_01_1409__a8bb4d5ecf5674008a527d6e54c821a91">Columns in the table. The columns are service entities for data analysis.</p>
+<p id="mrs_01_1409__a01b59fda12ab4e788cce8b8c95834eac">The column name (field name) consists of letters, digits, and underscores (_).</p>
+</td>
+</tr>
+<tr id="mrs_01_1409__rc73311d0a1bc492fb2153051bd666f64"><td class="cellrowborder" valign="top" width="25.91%" headers="mcps1.3.2.17.2.3.1.1 "><p id="mrs_01_1409__a98d11e08fc63486bb59155e5c6e51837">table_blocksize</p>
+</td>
+<td class="cellrowborder" valign="top" width="74.09%" headers="mcps1.3.2.17.2.3.1.2 "><p id="mrs_01_1409__a0bbe19d5af134a1fb58028433d26ce7b">Indicates the block size of data files used by the CarbonData table, in MB. The value ranges from <strong id="mrs_01_1409__b4886176781035">1</strong> to <strong id="mrs_01_1409__b169646867581035">2048</strong>. The default value is <strong id="mrs_01_1409__b158721204681035">1024</strong>.</p>
+<p id="mrs_01_1409__a8d918994c1714dc3aacf71f7d92afdf6">If <strong id="mrs_01_1409__b106930878281035">table_blocksize</strong> is too small, a large number of small files will be generated when data is loaded. This may affect the performance of HDFS.</p>
+<p id="mrs_01_1409__a93dea2d63d214521a74fb5ba44986909">If <strong id="mrs_01_1409__b133583159781035">table_blocksize</strong> is too large, during data query, the amount of block data that matches the index is large, and some blocks contain a large number of blocklets, affecting read concurrency and lowering query performance.</p>
+<p id="mrs_01_1409__acd7cfc49934d47f39463a9ebbdbafb2d">You are advised to set the block size based on the data volume. For example, set the block size to 256 MB for GB-level data, 512 MB for TB-level data, and 1024 MB for PB-level data.</p>
+<p id="mrs_01_1409__a9ba185b258894d30a1bf3ea47dce46ee"></p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_1409__nc2fda174e5de40a4b9d7a54119b85a64"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1409__u54b97786ea5c41f59081d0ff24eadeb5"><li class="text" id="mrs_01_1409__l918916e9a41b44239baa414034e86903">Measurement of all Integer data is processed and displayed using the <strong id="mrs_01_1409__b80697638181035">BigInt</strong> data type.</li><li id="mrs_01_1409__l04617e73ea82433fa4eb06adbfb546ee">CarbonData parses data strictly. Any data that cannot be parsed is saved as <strong id="mrs_01_1409__b38316309118">null</strong> in the table. For example, if the user loads the <strong id="mrs_01_1409__b170959398181035">double</strong> value (3.14) to the BigInt column, the data is saved as <strong id="mrs_01_1409__b4421935161113">null</strong>.</li><li id="mrs_01_1409__li195661993512">The Short and Long data types used in the <strong id="mrs_01_1409__b212925396981035">Create Table</strong> command are shown as Smallint and BigInt in the <strong id="mrs_01_1409__b128935489581035">DESCRIBE</strong> command, respectively.</li><li id="mrs_01_1409__li6989148163620">You can run the <strong id="mrs_01_1409__b36160425781035">DESCRIBE</strong> command to view the table data size and table index size.</li></ul>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1409__sc09b346eaa7d484abef78a9ca9595ae1"><h4 class="sectiontitle">Operation Result</h4><p id="mrs_01_1409__a0e0ede467f85405184aeeacae4207076">Run the command to create a table.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1407.html">CarbonData Table Management</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1410.html b/docs/mrs/component-operation-guide/mrs_01_1410.html
new file mode 100644
index 000000000..e0a615e4d
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1410.html
@@ -0,0 +1,22 @@
+<a name="mrs_01_1410"></a><a name="mrs_01_1410"></a>
+
+<h1 class="topictitle1">Deleting a CarbonData Table</h1>
+<div id="body1595920209608"><div class="section" id="mrs_01_1410__s5beaf4b5857a4dfa9320d921d901a1d8"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1410__adea69965f1944e6ea2c963c107c76b34">You can run the <b><span class="cmdname" id="mrs_01_1410__cmdname2025335415">DROP TABLE</span></b> command to delete a table. After a CarbonData table is deleted, its metadata and loaded data are deleted together.</p>
+</div>
+<div class="section" id="mrs_01_1410__s78854abcf29444c6863279bc2b4e039f"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1410__a2f2e3377a30d4b34ba67fa7fd8aff474">Run the following command to delete a CarbonData table:</p>
+<p id="mrs_01_1410__a0a3b15f32c464b56a74391700c1d261b">Run the following command:</p>
+<p id="mrs_01_1410__a7c433abf5ff94d248752aece4c638c3d"><b><span class="cmdname" id="mrs_01_1410__cmdname95839360417">DROP TABLE</span></b> <i><span class="varname" id="mrs_01_1410__v566765b1daf240178f40af775f83c582">[IF EXISTS] [db_name.]table_name;</span></i></p>
+<p id="mrs_01_1410__a39adfc55eecc4a51a008deb1335dc767">Once this command is executed, the table is deleted from the system. In the command, <span class="parmname" id="mrs_01_1410__p23f37e8aee0e4db5b6091755b1908728"><b>db_name</b></span> is an optional parameter. If <span class="parmname" id="mrs_01_1410__pf5287e58060348e7b18808b5da36e708"><b>db_name</b></span> is not specified, the table named <span class="parmname" id="mrs_01_1410__p71f1e00d1e4c4e9caa64cd826b4fe67d"><b>table_name</b></span> in the current database is deleted.</p>
+<p id="mrs_01_1410__a7aedc8eb95004748816e144e997fa6c1">Example:</p>
+<p id="mrs_01_1410__a4e21ed02902a43f78edc91b2ccff1d90"><b><span class="cmdname" id="mrs_01_1410__cmdname369724654113">DROP TABLE</span></b> <i><span class="varname" id="mrs_01_1410__v3d6dcc7dafce4fe383c8d34c1b9c3a96">productdb.productSalesTable;</span></i></p>
+<p id="mrs_01_1410__a903d9a6596ce4dae8d197fba725bbf70">Run the preceding command to delete the <span class="parmvalue" id="mrs_01_1410__ped3c42c4f4834edd89b05c6a5f433d7f"><b>productSalesTable</b></span> table from the <span class="parmvalue" id="mrs_01_1410__paa744d600ebf401ab3333baa0d6d4358"><b>productdb</b></span> database.</p>
+</div>
+<div class="section" id="mrs_01_1410__sd0fc9e8e8aaa4c8498322cab6950fb82"><h4 class="sectiontitle">Operation Result</h4><p id="mrs_01_1410__acd342a2d541748bb85818f4abaf15557">Deletes the table specified in the command from the system. After the table is deleted, you can run the <b><span class="cmdname" id="mrs_01_1410__cmdname014945415418">SHOW TABLES</span></b> command to check whether the table is successfully deleted. For details, see <a href="mrs_01_1428.html">SHOW TABLES</a>.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1407.html">CarbonData Table Management</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1411.html b/docs/mrs/component-operation-guide/mrs_01_1411.html
new file mode 100644
index 000000000..c4a2fb62e
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1411.html
@@ -0,0 +1,25 @@
+<a name="mrs_01_1411"></a><a name="mrs_01_1411"></a>
+
+<h1 class="topictitle1">Modify the CarbonData Table</h1>
+<div id="body1595920209609"><div class="section" id="mrs_01_1411__section02731659135010"><h4 class="sectiontitle"><strong id="mrs_01_1411__b2508458134011">SET</strong> and <strong id="mrs_01_1411__b353175513408">UNSET</strong></h4><p id="mrs_01_1411__p128146267518">When the <strong id="mrs_01_1411__b1186465185011">SET</strong> command is executed, the new properties overwrite the existing ones.</p>
+<ul id="mrs_01_1411__ul168111465515"><li id="mrs_01_1411__li205904142209">SORT SCOPE<p id="mrs_01_1411__p53212257224"><a name="mrs_01_1411__li205904142209"></a><a name="li205904142209"></a>The following is an example of the <strong id="mrs_01_1411__b5395125920173">SET SORT SCOPE</strong> command:</p>
+<p id="mrs_01_1411__p19201348182212"><b><span class="cmdname" id="mrs_01_1411__cmdname1420174822218">ALTER TABLE</span></b> <i><span class="varname" id="mrs_01_1411__varname2020124842217">tablename</span></i> <b><span class="cmdname" id="mrs_01_1411__cmdname8201154813221">SET TBLPROPERTIES('SORT_SCOPE'</span></b>=<i><span class="varname" id="mrs_01_1411__varname42011848152219">'no_sort'</span></i>)</p>
+<p id="mrs_01_1411__p10790015112316">After running the <strong id="mrs_01_1411__b933012173187">UNSET SORT SCOPE</strong> command, the default value <strong id="mrs_01_1411__b20501454187">NO_SORT</strong> is adopted.</p>
+<p id="mrs_01_1411__p014164611232">The following is an example of the <strong id="mrs_01_1411__b14601162194">UNSET SORT SCOPE</strong> command:</p>
+<p id="mrs_01_1411__p92691356162316"><b><span class="cmdname" id="mrs_01_1411__cmdname1267319119243">ALTER TABLE</span></b> <i><span class="varname" id="mrs_01_1411__varname146739152419">tablename</span></i> <b><span class="cmdname" id="mrs_01_1411__cmdname86731415241">UNSET TBLPROPERTIES('SORT_SCOPE'</span></b>)</p>
+</li><li id="mrs_01_1411__li8813415559">SORT COLUMNS<p id="mrs_01_1411__p7682103525616"><a name="mrs_01_1411__li8813415559"></a><a name="li8813415559"></a>The following is an example of the <strong id="mrs_01_1411__b17012518595">SET SORT COLUMNS</strong> command:</p>
+<p id="mrs_01_1411__p587954817567"><b><span class="cmdname" id="mrs_01_1411__cmdname7444190145813">ALTER TABLE</span></b> <i><span class="varname" id="mrs_01_1411__varname9895620135815">tablename</span></i> <b><span class="cmdname" id="mrs_01_1411__cmdname1485610195816">SET TBLPROPERTIES('SORT_COLUMNS'</span></b>=<i><span class="varname" id="mrs_01_1411__varname942015599584">'column1'</span></i>)</p>
+<p id="mrs_01_1411__p121599610591">After this command is executed, the new value of <strong id="mrs_01_1411__b13951361215">SORT_COLUMNS</strong> is used. Users can adjust the <strong id="mrs_01_1411__b1030213597110">SORT_COLUMNS</strong> based on the query results, but the original data is not affected. The operation does not affect the query performance of the original data segments which are not sorted by new <strong id="mrs_01_1411__b195051815151">SORT_COLUMNS</strong>.</p>
+<p id="mrs_01_1411__p833513517812">The <strong id="mrs_01_1411__b1943664460">UNSET</strong> command is not supported, but the <strong id="mrs_01_1411__b21441311688">SORT_COLUMNS</strong> can be set to empty string instead of using the <strong id="mrs_01_1411__b36518125167">UNSET</strong> command.</p>
+<p id="mrs_01_1411__p1687931181411"><b><span class="cmdname" id="mrs_01_1411__cmdname19687123131415">ALTER TABLE</span></b> <i><span class="varname" id="mrs_01_1411__varname19687183118140">tablename</span></i> <b><span class="cmdname" id="mrs_01_1411__cmdname5687153113149">SET TBLPROPERTIES('SORT_COLUMNS'</span></b>=<i><span class="varname" id="mrs_01_1411__varname12687113131419">''</span></i>)</p>
+<div class="note" id="mrs_01_1411__nc2fda174e5de40a4b9d7a54119b85a64"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1411__u54b97786ea5c41f59081d0ff24eadeb5"><li class="text" id="mrs_01_1411__l918916e9a41b44239baa414034e86903">The later version will enhance custom compaction to resort the old segments.</li><li id="mrs_01_1411__l04617e73ea82433fa4eb06adbfb546ee">The value of <strong id="mrs_01_1411__b14806537146">SORT_COLUMNS</strong> cannot be modified in the streaming table.</li><li id="mrs_01_1411__li195661993512">If the <strong id="mrs_01_1411__b391631201811">inverted index</strong> column is removed from <strong id="mrs_01_1411__b0107192215184">SORT_COLUMNS</strong>, <strong id="mrs_01_1411__b1527835161815">inverted index</strong> will not be created in this column. However, the old configuration of <strong id="mrs_01_1411__b42451037171920">INVERTED_INDEX</strong> will be kept.</li></ul>
+</div></div>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1407.html">CarbonData Table Management</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1412.html b/docs/mrs/component-operation-guide/mrs_01_1412.html
new file mode 100644
index 000000000..085a4af9a
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1412.html
@@ -0,0 +1,19 @@
+<a name="mrs_01_1412"></a><a name="mrs_01_1412"></a>
+
+<h1 class="topictitle1">CarbonData Table Data Management</h1>
+<div id="body1595920209610"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1413.html">Loading Data</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1414.html">Deleting Segments</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1415.html">Combining Segments</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1405.html">CarbonData Operation Guide</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1413.html b/docs/mrs/component-operation-guide/mrs_01_1413.html
new file mode 100644
index 000000000..d93f0862d
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1413.html
@@ -0,0 +1,12 @@
+<a name="mrs_01_1413"></a><a name="mrs_01_1413"></a>
+
+<h1 class="topictitle1">Loading Data</h1>
+<div id="body1595920209889"><div class="section" id="mrs_01_1413__sbbc31d04d66d4f099ddae431150f153d"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1413__aed772e18cec4420f9e0cd986991e9e3d">After a CarbonData table is created, you can run the <b><span class="cmdname" id="mrs_01_1413__cmdname16475204174410">LOAD DATA</span></b> command to load data to the table for query. Once data loading is triggered, data is encoded in CarbonData format and files in multi-dimensional and column-based format are compressed and copied to the HDFS path of CarbonData files for quick analysis and queries. The HDFS path can be configured in the <strong id="mrs_01_1413__b1419895117594">carbon.properties</strong> file. For details, see <a href="mrs_01_1404.html">Configuration Reference</a>.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1412.html">CarbonData Table Data Management</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1414.html b/docs/mrs/component-operation-guide/mrs_01_1414.html
new file mode 100644
index 000000000..64c6c2efe
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1414.html
@@ -0,0 +1,54 @@
+<a name="mrs_01_1414"></a><a name="mrs_01_1414"></a>
+
+<h1 class="topictitle1">Deleting Segments</h1>
+<div id="body1595920210159"><div class="section" id="mrs_01_1414__s846ddce36be84308b4f10e1dfe47fec3"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1414__acad553b1c9e1491b860b34334f33f500">If you want to modify and reload the data because you have loaded wrong data into a table, or there are too many bad records, you can delete specific segments by segment ID or data loading time.</p>
+<div class="note" id="mrs_01_1414__n3e09858e88434911a97add27b52c9334"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1414__a8ebe1fc7939d4ab083c733776b30adc9">The segment deletion operation only deletes segments that are not compacted. You can run the <b><span class="cmdname" id="mrs_01_1414__cmdname144107160444">CLEAN FILES</span></b> command to clear compacted segments.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1414__s3cf158b2e7984aceae0b6d46dd0c826a"><h4 class="sectiontitle">Deleting a Segment by Segment ID</h4><p id="mrs_01_1414__afcabc5d4d8544d9d9a7651749eee3f98">Each segment has a unique ID. This segment ID can be used to delete the segment.</p>
+<ol id="mrs_01_1414__o91df0e442fe3431a901f42acdc3906fe"><li id="mrs_01_1414__lde9a0b44bd07483080e1a01b795f0358"><span>Obtain the segment ID.</span><p><p id="mrs_01_1414__a4b174581a07d4d13a521d95aaa4fd139">Command:</p>
+<p id="mrs_01_1414__a5bebcdc817034a3194b646be44b0b148"><b><span class="cmdname" id="mrs_01_1414__cmdname129221574517">SHOW SEGMENTS FOR Table</span></b> <i><span class="varname" id="mrs_01_1414__v1797924e775c438aac9a77689f3106d7">dbname.tablename LIMIT number_of_loads;</span></i></p>
+<p id="mrs_01_1414__a95710643c9104e38843cafd46e59369c">Example:</p>
+<p id="mrs_01_1414__ab3c638c0881f495db2b2b501d8725811"><b><span class="cmdname" id="mrs_01_1414__cmdname1228891934516">SHOW SEGMENTS FOR TABLE</span></b> <i><span class="varname" id="mrs_01_1414__vfa6d9f65617044a9990d584a37f62843">carbonTable;</span></i></p>
+<p id="mrs_01_1414__a6104eec48f904204b03394f7c1fc0bfd">Run the preceding command to show all the segments of the table named <strong id="mrs_01_1414__b519472110711">carbonTable</strong>.</p>
+<p id="mrs_01_1414__af44bcf79dc5d425fbd2986178fc50184"><b><span class="cmdname" id="mrs_01_1414__cmdname19654132314519">SHOW SEGMENTS FOR TABLE</span></b> <i><span class="varname" id="mrs_01_1414__va88f7ccbf0f144548abd75665542eb36">carbonTable LIMIT 2;</span></i></p>
+<p id="mrs_01_1414__ab7cafad1acb2439e9bf524a27ffe0ca2">Run the preceding command to show segments specified by <i><span class="varname" id="mrs_01_1414__v544fffc4c00c4408b2027d165f445638">number_of_loads</span></i>.</p>
+<p id="mrs_01_1414__ac4080743ba104b06b49b955a4c6c96df">The command output is as follows:</p>
+<pre class="screen" id="mrs_01_1414__sf2d7cff41c01412f971acdec8808ce90">+-----+----------+--------------------------+------------------+------------+------------+-------------+--------------+--+
+| ID  |  Status  |     Load Start Time      | Load Time Taken  | Partition  | Data Size  | Index Size  | File Format  |
++-----+----------+--------------------------+------------------+------------+------------+-------------+--------------+--+
+| 3   | Success  | 2020-09-28 22:53:26.336  | 3.726S           | {}         | 6.47KB     | 3.30KB      | columnar_v3  |
+| 2   | Success  | 2020-09-28 22:53:01.702  | 6.688S           | {}         | 6.47KB     | 3.30KB      | columnar_v3  |
++-----+----------+--------------------------+------------------+------------+------------+-------------+--------------+--+</pre>
+<div class="note" id="mrs_01_1414__ncd0e37ead3f645f88f0add2d1097ead1"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1414__a129cd94944834d839f84758d7d70ebe6">The output of the <b><span class="cmdname" id="mrs_01_1414__cmdname11663182915452">SHOW SEGMENTS</span></b> command includes ID, Status, Load Start Time, Load Time Taken, Partition, Data Size, Index Size, and File Format. The latest loading information is displayed in the first line of the command output.</p>
+</div></div>
+</p></li><li id="mrs_01_1414__lc6bd27d81b524721a4e2b66dd85b7575"><span>Run the following command to delete the segment after you have found the Segment ID:</span><p><p id="mrs_01_1414__a99d478582c8f423a921b5157612ec31c">Command:</p>
+<p id="mrs_01_1414__abba521e3afd64b7f93cf163b164a295b"><b><span class="cmdname" id="mrs_01_1414__cmdname1425533444517">DELETE FROM TABLE tableName WHERE SEGMENT.ID IN (load_sequence_id1, load_sequence_id2, ....)</span></b>;</p>
+<p id="mrs_01_1414__a63fe95c33a27436993cbdcffc5994193">Example:</p>
+<p id="mrs_01_1414__a1d90f8f7393a43d18f636991786034be"><b><span class="cmdname" id="mrs_01_1414__cmdname14313103814456">DELETE FROM TABLE carbonTable WHERE SEGMENT.ID IN (1,2,3)</span></b>;</p>
+<p id="mrs_01_1414__ad8917c34649349fa95df212a8ecfa035">For details, see <a href="mrs_01_1442.html">DELETE SEGMENT by ID</a>.</p>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_1414__s394d1905e13b41d29d87e05bac74a8d8"><h4 class="sectiontitle">Deleting a Segment by Data Loading Time</h4><p id="mrs_01_1414__a8de1f36c2da144288948166d4df339a9">You can delete a segment based on the loading time.</p>
+<p id="mrs_01_1414__a2171b1060b79490b9d47afecde885d37">Command:</p>
+<p id="mrs_01_1414__a09a81087159245f59322a5cdcaf7741a"><b><span class="cmdname" id="mrs_01_1414__cmdname05701743164516">DELETE FROM TABLE db_name.table_name WHERE SEGMENT.STARTTIME BEFORE date_value</span></b>;</p>
+<p id="mrs_01_1414__a9909a9a8cacf4556b37019738ca7ebb3">Example:</p>
+<p id="mrs_01_1414__af1039202950f4d0ea115b284981937c8"><b><span class="cmdname" id="mrs_01_1414__cmdname13604546104516">DELETE FROM TABLE carbonTable WHERE SEGMENT.STARTTIME BEFORE '2017-07-01 12:07:20'</span></b>;</p>
+<p id="mrs_01_1414__a671f3f00be8d4db2986a89ffda342991">The preceding command can be used to delete all segments before 2017-07-01 12:07:20.</p>
+<p id="mrs_01_1414__a65b1629fe30648289fd2e46da76cd345">For details, see <a href="mrs_01_1443.html">DELETE SEGMENT by DATE</a>.</p>
+</div>
+<div class="section" id="mrs_01_1414__s4b3eb833316b4104abeca64f7d12aa12"><h4 class="sectiontitle">Result</h4><p id="mrs_01_1414__acf233b8c6419458d996cbe0436d16c45">Data of corresponding segments is deleted and is unavailable for query. You can run the <b><span class="cmdname" id="mrs_01_1414__cmdname17514165216454">SHOW SEGMENTS</span></b> command to display the segment status and check whether the segment has been deleted.</p>
+<div class="note" id="mrs_01_1414__n18da446833514705b40d4e252490b8c5"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1414__u35644c177c5a4edebd271959109706f2"><li id="mrs_01_1414__lc517ec68469147b482b24544b60496cb">Segments are not physically deleted after the execution of the <b><span class="cmdname" id="mrs_01_1414__cmdname1480115612455">DELETE SEGMENT</span></b> command. Therefore, if you run the <b><span class="cmdname" id="mrs_01_1414__cmdname11208191184616">SHOW SEGMENTS</span></b> command to check the status of a deleted segment, it will be marked as <strong id="mrs_01_1414__b12953192581118">Marked for Delete</strong>. If you run the <b><span class="cmdname" id="mrs_01_1414__cmdname544710416469">SELECT * FROM tablename</span></b> command, the deleted segment will be excluded.</li><li id="mrs_01_1414__l8087385ef5d5482abd34fc5a353b2693">The deleted segment will be deleted physically only when the next data loading reaches the maximum query execution duration, which is configured by the <span class="parmname" id="mrs_01_1414__p8d6e6eab9fa940abb0fab6b4bb05b38e"><b>max.query.execution.time</b></span> parameter. The default value of the parameter is 60 minutes.</li><li id="mrs_01_1414__l38d2407f0abd4e10824559ae1763b4ed">If you want to forcibly delete a physical segment file, run the <b><span class="cmdname" id="mrs_01_1414__cmdname78862864610">CLEAN FILES</span></b> command.<p id="mrs_01_1414__a52829ad61a5e4f5293e235447d1f84bd">Example:</p>
+<p id="mrs_01_1414__a92fcac96108c48ef9048b9e0d6278726"><b><span class="cmdname" id="mrs_01_1414__cmdname875951310469">CLEAN FILES FOR TABLE table1;</span></b></p>
+<p id="mrs_01_1414__a1c3c33700d52434a96905ceb4438e322">This command will physically delete the segment file in the <strong id="mrs_01_1414__b118519141122">Marked for delete</strong> state.</p>
+<p id="mrs_01_1414__aff2754358bb74221a35efbfbbe9b3fa1">If this command is executed before the time specified by <span class="parmname" id="mrs_01_1414__p2a5aaf7b14cf40fc87447284a5d5e7eb"><b>max.query.execution.time</b></span> arrives, the query may fail. <span class="parmname" id="mrs_01_1414__pdefd9cf202a14ee089eb58a6e41ee451"><b>max.query.execution.time</b></span> indicates the maximum time allowed for a query, which is set in the <span class="filepath" id="mrs_01_1414__fabb9dcb95da6496e8cdb4906ffd24d04"><b>carbon.properties</b></span> file.</p>
+</li></ul>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1412.html">CarbonData Table Data Management</a></div>
+</div>
+</div>
+
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@@ -0,0 +1,113 @@
+<a name="mrs_01_1415"></a><a name="mrs_01_1415"></a>
+
+<h1 class="topictitle1">Combining Segments</h1>
+<div id="body1595920210164"><div class="section" id="mrs_01_1415__s1f0421b0911f42978f653a90d40aec8e"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1415__afd5a0d2a32714435a2760b91b6e05c04">Frequent data access results in a large number of fragmented CarbonData files in the storage directory. In each data loading, data is sorted and indexing is performed. This means that an index is generated for each load. With the increase of data loading times, the number of indexes also increases. As each index works only on one loading, the performance of index is reduced. CarbonData provides loading and compression functions. In a compression process, data in each segment is combined and sorted, and multiple segments are combined into one large segment.</p>
+</div>
+<div class="section" id="mrs_01_1415__sa3392f67165245298a3d2ffb1672a912"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_1415__adb5721f42e444466b02d6f3d065a58d9">Multiple data loadings have been performed.</p>
+</div>
+<div class="section" id="mrs_01_1415__sc5e4ebffda68426aa8ebcccbf107143e"><h4 class="sectiontitle">Operation Description</h4><p id="mrs_01_1415__ac9b2da58c0ee4815b958c089df9d4f34">There are three types of compaction: Minor, Major, and Custom.</p>
+<ul id="mrs_01_1415__u885df1f1febc4113b2c57fff49475569"><li id="mrs_01_1415__la46f81b86bab4adc93ecaf94d8eb63ca">Minor compaction:<p id="mrs_01_1415__afc4ec3137e964287a33fdb7aee9ac383"><a name="mrs_01_1415__la46f81b86bab4adc93ecaf94d8eb63ca"></a><a name="la46f81b86bab4adc93ecaf94d8eb63ca"></a>In minor compaction, you can specify the number of loads to be merged. If <span class="parmname" id="mrs_01_1415__p4e79c219eec9467da74135e86630669f"><b>carbon.enable.auto.load.merge</b></span> is set, minor compaction is triggered for every data load. If any segments are available to be merged, then compaction will run parallel with data load.</p>
+<p id="mrs_01_1415__aa6e39c19837040aa954b03bfa7ec5560">There are two levels in minor compaction:</p>
+<ul id="mrs_01_1415__uce084869cbf44af3991295e62bc4108c"><li id="mrs_01_1415__lf956c772c30a42b8ac500cf8915921ad">Level 1: Merging of the segments which are not yet compacted</li><li id="mrs_01_1415__l002fbe6983f64d59b91664f52545a575">Level 2: Merging of the compacted segments again to form a larger segment</li></ul>
+</li></ul>
+<ul id="mrs_01_1415__ucb4ee9d5d7bd4d74a16f2eb7ab46068c"><li id="mrs_01_1415__ldece7395d80e4be58a95c5bc8101c6a0">Major compaction:<p id="mrs_01_1415__af43abbb9361d44f18e599d4f2a3093fc"><a name="mrs_01_1415__ldece7395d80e4be58a95c5bc8101c6a0"></a><a name="ldece7395d80e4be58a95c5bc8101c6a0"></a>Multiple segments can be merged into one large segment. You can specify the compaction size so that all segments below the size will be merged. Major compaction is usually done during the off-peak time.</p>
+</li><li id="mrs_01_1415__li68503712544"><a name="mrs_01_1415__li68503712544"></a><a name="li68503712544"></a>Custom compaction:<p id="mrs_01_1415__p8342831113110"><a name="mrs_01_1415__li68503712544"></a><a name="li68503712544"></a>In Custom compaction, you can specify the IDs of multiple segments to merge them into a large segment. The IDs of all the specified segments must exist and be valid. Otherwise, the compaction fails. Custom compaction is usually done during the off-peak time.</p>
+</li></ul>
+<p id="mrs_01_1415__a62b17dc6efd840e8b4ef723d124fd285">For details, see <a href="mrs_01_1429.html">ALTER TABLE COMPACTION</a>.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1415__t9ba7557f991f4d6caad3710c4a51b9f2"></a><a name="t9ba7557f991f4d6caad3710c4a51b9f2"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1415__t9ba7557f991f4d6caad3710c4a51b9f2" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Compaction parameters</caption><thead align="left"><tr id="mrs_01_1415__r94b7efffab554bb1ab93d5141417bd45"><th align="left" class="cellrowborder" valign="top" width="24.09%" id="mcps1.3.3.6.2.5.1.1"><p id="mrs_01_1415__a5e289a7bcd064a5c947d0ef621e91473"><strong id="mrs_01_1415__b106632041172416">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="11.72%" id="mcps1.3.3.6.2.5.1.2"><p id="mrs_01_1415__a45764e41760544e0a432b6dd1cf1eddf"><strong id="mrs_01_1415__b18820543182414">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="16.8%" id="mcps1.3.3.6.2.5.1.3"><p id="mrs_01_1415__a84bff750d246426d94c5b44482f4dbf7"><strong id="mrs_01_1415__b18593134610248">Application Type</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="47.39%" id="mcps1.3.3.6.2.5.1.4"><p id="mrs_01_1415__a5fecdb516b344d3fac75b06f3cb655e9"><strong id="mrs_01_1415__b488420474244">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1415__r15cb35dc2bbe4e27a96d72a59348fdb9"><td class="cellrowborder" valign="top" width="24.09%" headers="mcps1.3.3.6.2.5.1.1 "><p id="mrs_01_1415__a7805ff94a75f43e3b0951d98568e95ec">carbon.enable.auto.load.merge</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.72%" headers="mcps1.3.3.6.2.5.1.2 "><p id="mrs_01_1415__ab601d84f23184d0181201173bccf05ca">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.8%" headers="mcps1.3.3.6.2.5.1.3 "><p id="mrs_01_1415__a0918b89a0aed48a08dd7baff79346e37">Minor</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.39%" headers="mcps1.3.3.6.2.5.1.4 "><p id="mrs_01_1415__a80c026cd7c8e491eab5922212eaf1100">Whether to enable compaction along with data loading.</p>
+<p id="mrs_01_1415__a0c58ad6ddc2a40aaa6c3c16d39106588"><span class="parmvalue" id="mrs_01_1415__pcf556694795c486999f84748959ccf4b"><b>true</b></span>: Compaction is automatically triggered when data is loaded.</p>
+<p id="mrs_01_1415__a89906b729cbb46cd9e7e2bf1d34955b5"><span class="parmvalue" id="mrs_01_1415__pcd4e8b7aa7394d5fb85cf2c09c618029"><b>false</b></span>: Compaction is not triggered when data is loaded.</p>
+</td>
+</tr>
+<tr id="mrs_01_1415__r953a622e1e0d47798a9f4a84b65e8131"><td class="cellrowborder" valign="top" width="24.09%" headers="mcps1.3.3.6.2.5.1.1 "><p id="mrs_01_1415__a86c15d9a48d3465288012ec2e2c975fb">carbon.compaction.level.threshold</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.72%" headers="mcps1.3.3.6.2.5.1.2 "><p id="mrs_01_1415__a83e059bba7c24ff8be61dd4e54e456b3">4,3</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.8%" headers="mcps1.3.3.6.2.5.1.3 "><p id="mrs_01_1415__ac5ca27f5c75e434ba131182b9e3b7262">Minor</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.39%" headers="mcps1.3.3.6.2.5.1.4 "><p id="mrs_01_1415__a0b43ed5a095449b4967ce4bf3ceb94dc">This configuration is for minor compaction which decides how many segments to be merged.</p>
+<p id="mrs_01_1415__a74c6336cb43e48e783773b983b7634bd">For example, if this parameter is set to <span class="parmvalue" id="mrs_01_1415__p157196441c9e459ab7c0e31612aaf85b"><b>2,3</b></span>, minor compaction is triggered every two segments and segments form a single level 1 compacted segment. When the number of compacted level 1 segments reach 3, compaction is triggered again to merge them to form a single level 2 segment.</p>
+<p id="mrs_01_1415__a6bda90cab10249778b532ce8a5351b38">The compaction policy depends on the actual data size and available resources.</p>
+<p id="mrs_01_1415__a9bf8b297634b465cb7c08b0988d79236">The value ranges from 0 to 100.</p>
+</td>
+</tr>
+<tr id="mrs_01_1415__r7b1b2ab68aa84bfc809143d7c89a36de"><td class="cellrowborder" valign="top" width="24.09%" headers="mcps1.3.3.6.2.5.1.1 "><p id="mrs_01_1415__a55e4a72454054b20977732f336403a83">carbon.major.compaction.size</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.72%" headers="mcps1.3.3.6.2.5.1.2 "><p id="mrs_01_1415__a8e28406ceff541b388c0e30ef1d919ce">1024 MB</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.8%" headers="mcps1.3.3.6.2.5.1.3 "><p id="mrs_01_1415__ae6e1554b41404b59809fdb5efb79aae0">Major</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.39%" headers="mcps1.3.3.6.2.5.1.4 "><p id="mrs_01_1415__a7ca8034f9fdf41a2adb21a4f60ae0e4c">The major compaction size can be configured using this parameter. Sum of the segments which is below this threshold will be merged.</p>
+<p id="mrs_01_1415__a6b82290366b342699acb988678bb172e">For example, if this parameter is set to 1024 MB, and there are five segments whose sizes are 300 MB, 400 MB, 500 MB, 200 MB, and 100 MB used for major compaction, only segments whose total size is less than this threshold are compacted. In this example, only the segments whose sizes are 300 MB, 400 MB, 200 MB, and 100 MB are compacted.</p>
+</td>
+</tr>
+<tr id="mrs_01_1415__r301cbd1bb6a0410fa8e9a64f0becb598"><td class="cellrowborder" valign="top" width="24.09%" headers="mcps1.3.3.6.2.5.1.1 "><p id="mrs_01_1415__a57a0557170a0494989c1514af5f18e1c">carbon.numberof.preserve.segments</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.72%" headers="mcps1.3.3.6.2.5.1.2 "><p id="mrs_01_1415__a5c9d79e01a6c48849f4d385da70cd47d">0</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.8%" headers="mcps1.3.3.6.2.5.1.3 "><p id="mrs_01_1415__a8b5aec3ed02a45779ef83199c88587c0">Minor/Major</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.39%" headers="mcps1.3.3.6.2.5.1.4 "><p id="mrs_01_1415__a353aba7e92db4dfaa6cc94be7b412dbb">If you want to preserve some number of segments from being compacted, then you can set this configuration.</p>
+<p id="mrs_01_1415__a31483c9747ec4e91b1d7db5de2543ef2">For example, if <span class="parmname" id="mrs_01_1415__pf67a3a1112434eccaa29d5d4328ab031"><b>carbon.numberof.preserve.segments</b></span> is set to <span class="parmvalue" id="mrs_01_1415__p8aeda15335294561be7823636b05a26d"><b>2</b></span>, the latest two segments will always be excluded from the compaction.</p>
+<p id="mrs_01_1415__a9e6ee72329b341e8826e1ab601832b73">By default, no segments are reserved.</p>
+</td>
+</tr>
+<tr id="mrs_01_1415__r5d2133b5475a47b791a0ef12e50e600d"><td class="cellrowborder" valign="top" width="24.09%" headers="mcps1.3.3.6.2.5.1.1 "><p id="mrs_01_1415__a93dd7d1ea03c46039bc56b4a3de0fc3d">carbon.allowed.compaction.days</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.72%" headers="mcps1.3.3.6.2.5.1.2 "><p id="mrs_01_1415__af993e900ce47489dac6274e9313c5f0b">0</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.8%" headers="mcps1.3.3.6.2.5.1.3 "><p id="mrs_01_1415__a4bcfb650bf0a485cadd1e52d200631f9">Minor/Major</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.39%" headers="mcps1.3.3.6.2.5.1.4 "><p id="mrs_01_1415__a03c11abbdf9c447ba6b0a75d5ff8dd89">This configuration is used to control on the number of recent segments that needs to be compacted.</p>
+<p id="mrs_01_1415__a0e2d3b15c6cf499da26ef005496c8e1e">For example, if this parameter is set to <span class="parmvalue" id="mrs_01_1415__p13290e1ec8014cf5a5c9527457e1048b"><b>2</b></span>, the segments which are loaded in the time frame of past 2 days only will get merged. Segments which are loaded earlier than 2 days will not be merged.</p>
+<p id="mrs_01_1415__ac5bee1eddf204898a2b54b1794f751fe">This configuration is disabled by default.</p>
+</td>
+</tr>
+<tr id="mrs_01_1415__rd3fce71edb05437f9179bfbadc69fb3a"><td class="cellrowborder" valign="top" width="24.09%" headers="mcps1.3.3.6.2.5.1.1 "><p id="mrs_01_1415__abef1f48227f34161af435dd349b9a338">carbon.number.of.cores.while.compacting</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.72%" headers="mcps1.3.3.6.2.5.1.2 "><p id="mrs_01_1415__a29773f7d0da04f769c1d8a8e52f20615">2</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.8%" headers="mcps1.3.3.6.2.5.1.3 "><p id="mrs_01_1415__a51eca4fc57f5446db494e5e9d5079df5">Minor/Major</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.39%" headers="mcps1.3.3.6.2.5.1.4 "><p id="mrs_01_1415__aca64dcdd73544b6694a0c8919196dafe">Number of cores to be used while compacting data. The greater the number of cores, the better the compaction performance. If the CPU resources are sufficient, you can increase the value of this parameter.</p>
+</td>
+</tr>
+<tr id="mrs_01_1415__row1291223515449"><td class="cellrowborder" valign="top" width="24.09%" headers="mcps1.3.3.6.2.5.1.1 "><p id="mrs_01_1415__p1891343510444">carbon.merge.index.in.segment</p>
+</td>
+<td class="cellrowborder" valign="top" width="11.72%" headers="mcps1.3.3.6.2.5.1.2 "><p id="mrs_01_1415__p991323511443">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.8%" headers="mcps1.3.3.6.2.5.1.3 "><p id="mrs_01_1415__p1491319357446">SEGMENT_INDEX</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.39%" headers="mcps1.3.3.6.2.5.1.4 "><p id="mrs_01_1415__p189135350447">If this parameter is set to <strong id="mrs_01_1415__b10649483300">true</strong>, all the Carbon index (.carbonindex) files in a segment will be merged into a single Index (.carbonindexmerge) file. This enhances the first query performance.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1415__sea9150048c8242d39ea50fb0a88119e3"><h4 class="sectiontitle">Reference</h4><p id="mrs_01_1415__a2681a1d952984de49e55758d2318e9d1">You are advised not to perform minor compaction on historical data. For details, see <a href="mrs_01_1459.html">How to Avoid Minor Compaction for Historical Data?</a>.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1412.html">CarbonData Table Data Management</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1416.html b/docs/mrs/component-operation-guide/mrs_01_1416.html
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+<a name="mrs_01_1416"></a><a name="mrs_01_1416"></a>
+
+<h1 class="topictitle1">CarbonData Data Migration</h1>
+<div id="body1595920210166"><div class="section" id="mrs_01_1416__sd016475a013e4017a1cd8fa815052c79"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1416__acd71bdd1a8024c16a13d82c6e9b9bddd">If you want to rapidly migrate CarbonData data from a cluster to another one, you can use the CarbonData backup and restoration commands. This method does not require data import in the target cluster, reducing required migration time.</p>
+</div>
+<div class="section" id="mrs_01_1416__sad2227036f784f4b86dd3bf1ade02c31"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_1416__p1574534153714">The Spark2x client has been installed in a directory, for example, <strong id="mrs_01_1416__b645342832012">/opt/client</strong>, in two clusters. The source cluster is cluster A, and the target cluster is cluster B. </p>
+</div>
+<div class="section" id="mrs_01_1416__sa74003b14482484db8a4b23fe312c2e6"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1416__ob48c9d3a8cb34b4c931240af1e930349"><li id="mrs_01_1416__laa4d0f3b90154536a901cc53d9d38209"><span>Log in to the node where the client is installed in cluster A as a client installation user.</span></li><li id="mrs_01_1416__la0a212dd77b845be89530e70a4a53418"><span>Run the following commands to configure environment variables:</span><p><p id="mrs_01_1416__af49ec266fb67453eaffbce9e9fdb6f0c"><strong id="mrs_01_1416__af1814c1a96124dcbaedc330d88f54f27">source /opt/client/bigdata_env</strong></p>
+<p id="mrs_01_1416__ab573e11a3b944389a445dac4e2aeceee"><strong id="mrs_01_1416__a6d8c574e519e4d64a0064b703e10ade1">source /opt/client/Spark2x/component_env</strong></p>
+</p></li><li id="mrs_01_1416__lc048829d498a4604827caf8a12039036"><span>If the cluster is in security mode, run the following command to authenticate the user. In normal mode, skip user authentication.</span><p><p id="mrs_01_1416__af339daf88d724297b2f60b2934625bd1"><strong id="mrs_01_1416__adb1086ace6c145539319c127f502b483">kinit </strong><em id="mrs_01_1416__afb1a4caa31874224b566e0c35efda50a">carbondatauser</em></p>
+<p id="mrs_01_1416__a6457666748a048c3bd40137e5a37ef97"><em id="mrs_01_1416__i18131152343718">carbondatauser</em> indicates the user of the original data. That is, the user has the read and write permissions for the tables.</p>
+<div class="note" id="mrs_01_1416__note159935396372"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1416__p14993539113719">You must add the user to the <strong id="mrs_01_1416__b13396313131318">hadoop</strong> (primary group) and <strong id="mrs_01_1416__b0307202911615">hive</strong> groups, and associate it with the <strong id="mrs_01_1416__b739601361318">System_administrator</strong> role.</p>
+</div></div>
+</p></li><li id="mrs_01_1416__leef25bd89bfd401bb258969d6f21041b"><span>Run the following command to connect to the database and check the location for storing table data on HDFS:</span><p><p id="mrs_01_1416__aebab4cda4c6d438f8d4e11ae202fb22e"><strong id="mrs_01_1416__b870414692215">spark-beeline</strong></p>
+<p id="mrs_01_1416__af2b9c9eb15e44eb0a8313d6454b7a075"><strong id="mrs_01_1416__a7a220d8ff39244199c3af06555db80a1">desc formatted<strong id="mrs_01_1416__a015bf47cb2a440ccb1c1be77f866afa8"> </strong></strong><em id="mrs_01_1416__a3842bb492d614d5cb9e1cc70930452ab">Name of the table containing the original data</em><strong id="mrs_01_1416__a34b69a758ab74395b67e9718a1ddeb69">;</strong></p>
+<p id="mrs_01_1416__a3d0248a2c75a40e280142244a1d9e72e"><span class="parmname" id="mrs_01_1416__pbbdb9bd8bc4e497eaa2471cf040d456d"><b>Location</b></span> in the displayed information indicates the directory where the data file resides.</p>
+</p></li><li id="mrs_01_1416__le50accb58ab14602a3e5696a40acfa86"><span>Log in to the node where the client is installed in cluster B as a client installation user and configure the environment variables:</span><p><p id="mrs_01_1416__en-us_topic_0095127612_p12791562001"><strong id="mrs_01_1416__en-us_topic_0095127612_b115124122001">source /opt/client/bigdata_env</strong></p>
+<p id="mrs_01_1416__en-us_topic_0095127612_p365028442001"><strong id="mrs_01_1416__en-us_topic_0095127612_b600901422001">source /opt/client/Spark2x/component_env</strong></p>
+</p></li><li id="mrs_01_1416__en-us_topic_0095127612_li39403722001"><span>If the cluster is in security mode, run the following command to authenticate the user. In normal mode, skip user authentication.</span><p><p id="mrs_01_1416__en-us_topic_0095127612_p354633492001"><strong id="mrs_01_1416__en-us_topic_0095127612_b507346922001">kinit </strong><em id="mrs_01_1416__a9faa52ee3aeb49dca39e304da6c82854">carbondatauser2</em></p>
+<p id="mrs_01_1416__en-us_topic_0095127612_p86068492001"><em id="mrs_01_1416__i9304153053718">carbondatauser2</em> indicates the user that uploads data.</p>
+<div class="note" id="mrs_01_1416__note936214215381"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1416__p83631425384">You must add the user to the <strong id="mrs_01_1416__b688613741716">hadoop</strong> (primary group) and <strong id="mrs_01_1416__b988653711715">hive</strong> groups, and associate it with the <strong id="mrs_01_1416__b16887337191718">System_administrator</strong> role.</p>
+</div></div>
+</p></li><li id="mrs_01_1416__ld16d6a27d65f4e2c9181394e7ffde032"><span>Run the <strong id="mrs_01_1416__b20400763794853">spark-beeline</strong> command to connect to the database.</span></li><li id="mrs_01_1416__ld70b46b251b549858924c92d85c4d48b"><span>Does the database that maps to the original data exist?</span><p><ul id="mrs_01_1416__u8b533238dbb943c5af1a330956557f98"><li id="mrs_01_1416__l2a69abf907e44cdda5bd25c75037eaa1">If yes, go to <a href="#mrs_01_1416__lb95e9d29c6fc469a8375f190f4136467">9</a>.</li><li id="mrs_01_1416__l64571313012d45c9801c86d506b1bafe">If no, run the <strong id="mrs_01_1416__b9105752172015">create database</strong> <em id="mrs_01_1416__i1140151152115">Database name</em> command to create a database with the same name as that maps to the original data and go to <a href="#mrs_01_1416__lb95e9d29c6fc469a8375f190f4136467">9</a>.</li></ul>
+</p></li><li id="mrs_01_1416__lb95e9d29c6fc469a8375f190f4136467"><a name="mrs_01_1416__lb95e9d29c6fc469a8375f190f4136467"></a><a name="lb95e9d29c6fc469a8375f190f4136467"></a><span>Copy the original data from the HDFS directory in cluster A to that in cluster B.</span><p><p id="mrs_01_1416__ad8181de316f94f2b86915aa4b1d48812">When uploading data in cluster B, ensure that the upload directory has the directories with the same names as the database and table in the original directory and the upload user has the permission to write data to the upload directory. After the data is uploaded, the user has the permission to read and write the data.</p>
+<p id="mrs_01_1416__a9e12cb663fd048de9f21f3d2b186e6b3">For example, if the original data is stored in <span class="filepath" id="mrs_01_1416__filepath10302153411218"><b>/user/carboncadauser/warehouse/db1/tb1</b></span>, the data can be stored in <span class="filepath" id="mrs_01_1416__filepath1930883492112"><b>/user/carbondatauser2/warehouse/db1/tb1</b></span> in the new cluster.</p>
+<ol type="a" id="mrs_01_1416__ol1472865333919"><li id="mrs_01_1416__li87285532397">Run the following command to download the original data to the <strong id="mrs_01_1416__b1485165582113">/opt/backup</strong> directory of cluster A:<p id="mrs_01_1416__p6231255153215"><strong id="mrs_01_1416__b084217201348">hdfs dfs -get</strong><strong id="mrs_01_1416__b4584162153410"> /user/carboncadauser/warehouse/db1/tb1</strong><strong id="mrs_01_1416__b6842112018347"> /opt/</strong><strong id="mrs_01_1416__b16899133833513">backup</strong></p>
+</li><li id="mrs_01_1416__li1470611054012">Run the following command to copy the original data of cluster A to the <strong id="mrs_01_1416__b1961161113229">/opt/backup</strong> directory on the client node of cluster B.<p id="mrs_01_1416__p147816404352"><strong id="mrs_01_1416__b651641312313">scp /opt/backup root@</strong><em id="mrs_01_1416__i756650113817">IP address of the client node of cluster B</em>:<strong id="mrs_01_1416__b1215712194382">/opt/</strong><strong id="mrs_01_1416__b51579195386">backup</strong></p>
+</li><li id="mrs_01_1416__li8360830144119">Run the following command to upload the data copied to cluster B to HDFS:<p id="mrs_01_1416__p38771783444"><a name="mrs_01_1416__li8360830144119"></a><a name="li8360830144119"></a><strong id="mrs_01_1416__b2087711817446">hdfs dfs -put</strong><strong id="mrs_01_1416__b128771087449"> /opt/</strong><strong id="mrs_01_1416__b1087712811448">backup</strong> <strong id="mrs_01_1416__b78778824419">/user/carbondatauser2/warehouse/db1/tb1</strong></p>
+</li></ol>
+</p></li><li id="mrs_01_1416__laf7ce95fc3cc4ab2a96640541690ed30"><a name="mrs_01_1416__laf7ce95fc3cc4ab2a96640541690ed30"></a><a name="laf7ce95fc3cc4ab2a96640541690ed30"></a><span>In the client environment of cluster B, run the following command to generate the metadata associated with the table corresponding to the original data in Hive:</span><p><p id="mrs_01_1416__a961fd13e6d41491085c538ec0e269f10"><strong id="mrs_01_1416__b1173711915542">REFRESH TABLE<em id="mrs_01_1416__i673618198544"> </em></strong><em id="mrs_01_1416__i475610197547">$dbName.$tbName</em><strong id="mrs_01_1416__b18737819195420"><em id="mrs_01_1416__i773701913548">;</em></strong></p>
+<p id="mrs_01_1416__ac13c929095fc4ad1aded1cd9afff5e80"><em id="mrs_01_1416__i155089392610125">$dbName</em> indicates the database name, and <em id="mrs_01_1416__i6444916110125">$tbName</em> indicates the table name.</p>
+</p></li><li id="mrs_01_1416__li12999187252"><span>If the original table contains an index table, perform <a href="#mrs_01_1416__lb95e9d29c6fc469a8375f190f4136467">9</a> and <a href="#mrs_01_1416__laf7ce95fc3cc4ab2a96640541690ed30">10</a> to migrate the index table directory from cluster A to cluster B.</span></li><li id="mrs_01_1416__ld68042a78e074d1e8c115533b1cdc285"><span>Run the following command to register an index table for the CarbonData table (skip this step if no index table is created for the original table):</span><p><p id="mrs_01_1416__afce681d7130942b1ae3ca563ff96d80e"><strong id="mrs_01_1416__en-us_topic_0095127612_b651619822035">REGISTER INDEX TABLE </strong><em id="mrs_01_1416__en-us_topic_0095127612_i445229222035">$tableName</em> ON <em id="mrs_01_1416__a79b03b51394a474a99cc291ed6e571e8">$maintable</em>;</p>
+<p id="mrs_01_1416__a2fe8a31a566945ada8ed9eca9f3ed3de"><em id="mrs_01_1416__i20572470510341">$tableName</em> indicates the index table name, and <em id="mrs_01_1416__i1486716401757">$maintable</em> indicates the table name.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1405.html">CarbonData Operation Guide</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1417.html b/docs/mrs/component-operation-guide/mrs_01_1417.html
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+<a name="mrs_01_1417"></a><a name="mrs_01_1417"></a>
+
+<h1 class="topictitle1">CarbonData Performance Tuning</h1>
+<div id="body1595920210167"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1418.html">Tuning Guidelines</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1419.html">Suggestions for Creating CarbonData Tables</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1421.html">Configurations for Performance Tuning</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1400.html">Using CarbonData (for MRS 3.x or Later)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1418.html b/docs/mrs/component-operation-guide/mrs_01_1418.html
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+<a name="mrs_01_1418"></a><a name="mrs_01_1418"></a>
+
+<h1 class="topictitle1">Tuning Guidelines</h1>
+<div id="body1595920210170"><div class="section" id="mrs_01_1418__sd230245d84d74954ad17f850fcd07ee1"><h4 class="sectiontitle">Query Performance Tuning</h4><div class="p" id="mrs_01_1418__add049d2d36044ab8998ee35a92aa3a07">There are various parameters that can be tuned to improve the query performance in CarbonData. Most of the parameters focus on increasing the parallelism in processing and optimizing system resource usage.<ul id="mrs_01_1418__u5b7ef538dade45908a01eabf8dadc471"><li id="mrs_01_1418__l5d0a22d7713c430d84ff45d4632e762e">Spark executor count: Executors are basic entities of parallelism in Spark. Raising the number of executors can increase the amount of parallelism in the cluster. For details about how to configure the number of executors, see the Spark documentation.</li><li id="mrs_01_1418__li8841154920177">Executor core: The number of concurrent tasks that an executor can run are controlled in each executor. Increasing the number of executor cores will add more concurrent processing tasks to improve performance.</li><li id="mrs_01_1418__la26d93179b9b4d0e81bb6b2f49cc5eab">HDFS block size: CarbonData assigns query tasks by allocating different blocks to different executors for processing. HDFS block is the partition unit. CarbonData maintains a global block level index in Spark driver, which helps to reduce the quantity of blocks that need to be scanned for a query. Higher block size means higher I/O efficiency and lower global index efficiency. Reversely, lower block size means lower I/O efficiency, higher global index efficiency, and greater memory consumption.</li><li id="mrs_01_1418__l12af91b61fc64bf0b8849b4c1f566a3f">Number of scanner threads: Scanner threads control the number of parallel data blocks that are processed by each task. By increasing the number of scanner threads, you can increase the number of data blocks that are processed in parallel to improve performance. The <span class="parmname" id="mrs_01_1418__pa37c1a739726469f99bf85bc8c71ba4d"><b>carbon.number.of.cores</b></span> parameter in the <span class="filepath" id="mrs_01_1418__fa82c209135624be5a2af54260b52e99e"><b>carbon.properties</b></span> file is used to configure the number of scanner threads. For example, <span class="parmname" id="mrs_01_1418__pe09666275d174271b3a66c1a811df317"><b>carbon.number.of.cores = 4</b></span>.</li><li id="mrs_01_1418__l5e04d64085d9490c8888a1efdd220564">B-Tree caching: The cache memory can be optimized using the B-Tree least recently used (LRU) caching. In the driver, the B-Tree LRU caching configuration helps free up the cache by releasing table segments which are not accessed or not used. Similarly, in the executor, the B-Tree LRU caching configuration will help release table blocks that are not accessed or used. For details, see the description of <span class="parmname" id="mrs_01_1418__p980ab37aed694ee78039d13dda5f477a"><b>carbon.max.driver.lru.cache.size</b></span> and <span class="parmname" id="mrs_01_1418__pef165810ffc248a79deedd6591acd2b0"><b>carbon.max.executor.lru.cache.size</b></span> in <a href="mrs_01_1404.html#mrs_01_1404__t197b7a04db3c4f919bd30707c2fdcd1f">Table 2</a>.</li></ul>
+</div>
+</div>
+<div class="section" id="mrs_01_1418__s2bef13edc0b54585b891ade7301a0606"><h4 class="sectiontitle">CarbonData Query Process</h4><p id="mrs_01_1418__ad19bf7ce33f8453ab4d70173472edc60">When CarbonData receives a table query task, for example query for table A, the index data of table A will be loaded to the memory for the query process. When CarbonData receives a query task for table A again, the system does not need to load the index data of table A.</p>
+<p id="mrs_01_1418__ac629b526b6eb4f95978f41715974c818">When a query is performed in CarbonData, the query task is divided into several scan tasks, namely, task splitting based on HDFS blocks. Scan tasks are executed by executors on the cluster. Tasks can run in parallel, partially parallel, or in sequence, depending on the number of executors and configured number of executor cores.</p>
+<p id="mrs_01_1418__a5826acd8ef614c5d94d2e1c754ce00c7">Some parts of a query task can be processed at the individual task level, such as <strong id="mrs_01_1418__b126683675418">select</strong> and <strong id="mrs_01_1418__b12338238155416">filter.</strong> Some parts of a query task can be processed at the individual task level, such as<strong id="mrs_01_1418__b0765741145410"> group-by</strong>, <strong id="mrs_01_1418__b17936444544">count</strong>, and <strong id="mrs_01_1418__b1777104895413">distinct count</strong>.</p>
+<p id="mrs_01_1418__a38dd9e2945984729809f444cbc8be790">Some operations cannot be performed at the task level, such as <strong id="mrs_01_1418__b171531018145517">Having Clause</strong> (filter after grouping) and <strong id="mrs_01_1418__b6976720115510">sort</strong>. Operations which cannot be performed at the task level or can be only performed partially at the task level require data (partial results) transmission across executors on the cluster. The transmission operation is called shuffle.</p>
+<p id="mrs_01_1418__a6cf79db5324c4c449ec089e3cb91b79a">The more the tasks are, the more data needs to be shuffled. This affects query performance.</p>
+<p id="mrs_01_1418__ad09c1f2211d04a559819eacba955a6f2">The number of tasks is depending on the number of HDFS blocks and the number of blocks is depending on the size of each block. You are advised to configure proper HDFS block size to achieve a balance among increased parallelism, the amount of data to be shuffled, and the size of aggregate tables.</p>
+</div>
+<div class="section" id="mrs_01_1418__sa2220aa869c24752a66723ccd15e8f39"><h4 class="sectiontitle">Relationship Between Splits and Executors</h4><p id="mrs_01_1418__a0625509b5a0f4a3aa22d17ab86d3eee4">If the number of splits is less than or equal to the executor count multiplied by the executor core count, the tasks are run in parallel. Otherwise, some tasks can start only after other tasks are complete. Therefore, ensure that the executor count multiplied by executor cores is greater than or equal to the number of splits. In addition, make sure that there are sufficient splits so that a query task can be divided into sufficient subtasks to ensure concurrency.</p>
+</div>
+<div class="section" id="mrs_01_1418__s36fcc39c7e1641d2a5f17e592ea322a9"><h4 class="sectiontitle">Configuring Scanner Threads</h4><p id="mrs_01_1418__adfa0855d29fa44a59a1deef54e27d809">The scanner threads property decides the number of data blocks to be processed. If there are too many data blocks, a large number of small data blocks will be generated, affecting performance. If there are few data blocks, the parallelism is poor and the performance is affected. Therefore, when determining the number of scanner threads, you are advised to consider the average data size within a partition and select a value that makes the data block not small. Based on experience, you are advised to divide a single block size (unit: MB) by 250 and use the result as the number of scanner threads.</p>
+<p id="mrs_01_1418__a1c7897cbfdcf44a692c1e1123c3a9943">The number of actual available vCPUs is an important factor to consider when you want to increase the parallelism. The number of vCPUs that conduct parallel computation must not exceed 75% to 80% of actual vCPUs.</p>
+<p id="mrs_01_1418__af8d7ba189f36495a9612c21395c40a4c">The number of vCPUs is approximately equal to:</p>
+<p id="mrs_01_1418__a3bc0f8f48d584b0c8d6fd558143c5338">Number of parallel tasks x Number of scanner threads. Number of parallel tasks is the smaller value of number of splits or executor count x executor cores.</p>
+</div>
+<div class="section" id="mrs_01_1418__sc6a4c70184234238832ea5ab23a04a58"><h4 class="sectiontitle">Data Loading Performance Tuning</h4><p id="mrs_01_1418__abcbfb92f0f984a4d838290f4e0f77a34">Tuning of data loading performance is different from that of query performance. Similar to query performance, data loading performance depends on the amount of parallelism that can be achieved. In case of data loading, the number of worker threads decides the unit of parallelism. Therefore, more executors mean more executor cores and better data loading performance.</p>
+<p id="mrs_01_1418__a541f3322d7654d59b9bbb814e307b23f">To achieve better performance, you can configure the following parameters in HDFS.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1418__t9615b2d5af3c4f15bb14079082d370b6" frame="border" border="1" rules="all"><caption><b>Table 1 </b>HDFS configuration</caption><thead align="left"><tr id="mrs_01_1418__r2d3deb0c6e9b407cb577e731980c29dd"><th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.5.4.2.3.1.1"><p id="mrs_01_1418__a9154e6b7fb114e02b263a880fbb40556">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.5.4.2.3.1.2"><p id="mrs_01_1418__a19f527c53f5e42a0a9ed33271cb92d6f">Recommended Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1418__rc2eb6cbe98c8460b84d0a9e16d0dc82c"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.4.2.3.1.1 "><p id="mrs_01_1418__ab90163a611564ec7901d6b26ec5dcc67">dfs.datanode.drop.cache.behind.reads</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.4.2.3.1.2 "><p id="mrs_01_1418__ae7ec1ac0d2f34571beb19d881d9ed00b">false</p>
+</td>
+</tr>
+<tr id="mrs_01_1418__r1c694c8066ad4505a9ca1a60a952b924"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.4.2.3.1.1 "><p id="mrs_01_1418__a3da79bc5d0294ca2bec853ffab54623f">dfs.datanode.drop.cache.behind.writes</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.4.2.3.1.2 "><p id="mrs_01_1418__a326b19f41239438c87836d9e752bc85c">false</p>
+</td>
+</tr>
+<tr id="mrs_01_1418__r80c424e143364e2cb13091d73a9fb3b8"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.4.2.3.1.1 "><p id="mrs_01_1418__aa0fad6df47f14941940a36b3695d1fde">dfs.datanode.sync.behind.writes</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.4.2.3.1.2 "><p id="mrs_01_1418__a36d4fce465194852bef83e1c1dd1995b">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1418__s1e7ebb7211f9432381a877ffda93c667"><h4 class="sectiontitle">Compression Tuning</h4><p id="mrs_01_1418__aed781106a4464937b7000a5043372b6d">CarbonData uses a few lightweight compression and heavyweight compression algorithms to compress data. Although these algorithms can process any type of data, the compression performance is better if the data is ordered with similar values being together.</p>
+<p id="mrs_01_1418__aa3610578b2a042e0b20ea42a0bcaa2d2">During data loading, data is sorted based on the order of columns in the table to achieve good compression performance.</p>
+<p id="mrs_01_1418__adacc76ba291c46d8a7aa6e21fd382a76">Since CarbonData sorts data in the order of columns defined in the table, the order of columns plays an important role in the effectiveness of compression. If the low cardinality dimension is on the left, the range of data partitions after sorting is small and the compression efficiency is high. If a high cardinality dimension is on the left, a range of data partitions obtained after sorting is relatively large, and compression efficiency is relatively low.</p>
+</div>
+<div class="section" id="mrs_01_1418__s2246c0811d354d81974118d184479c39"><h4 class="sectiontitle">Memory Tuning</h4><p id="mrs_01_1418__ab1ff487e774b467784df134769dffa2d">CarbonData provides a mechanism for memory tuning where data loading depends on the columns needed in the query. Whenever a query command is received, columns required by the query are fetched and data is loaded for those columns in memory. During this operation, if the memory threshold is reached, the least used loaded files are deleted to release memory space for columns required by the query.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1417.html">CarbonData Performance Tuning</a></div>
+</div>
+</div>
+
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@@ -0,0 +1,167 @@
+<a name="mrs_01_1419"></a><a name="mrs_01_1419"></a>
+
+<h1 class="topictitle1">Suggestions for Creating CarbonData Tables</h1>
+<div id="body1595920210172"><div class="section" id="mrs_01_1419__s9555ec02d87e475d98d18505caab4aab"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1419__ac8e7fd34058a49c290bc842c5063be97">This section provides suggestions based on more than 50 test cases to help you create CarbonData tables with higher query performance.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1419__ta61755b42ee449f5890c25220972fa25" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Columns in the CarbonData table</caption><thead align="left"><tr id="mrs_01_1419__rbcb08ed62694484b93f8dbcb09e14b75"><th align="left" class="cellrowborder" valign="top" width="25.169999999999998%" id="mcps1.3.1.3.2.5.1.1"><p id="mrs_01_1419__a1f5e66617533477292b541667c8bcb5e"><strong id="mrs_01_1419__a2a0f56b2a8c441b3895d3b1fbd063987">Column name</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="24.83%" id="mcps1.3.1.3.2.5.1.2"><p id="mrs_01_1419__a7f5a8a650eeb4e7e810ebc5690f09884"><strong id="mrs_01_1419__a9f115180de394119ba25b03053a54589">Data type</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.1.3.2.5.1.3"><p id="mrs_01_1419__a958b5f7b32874454b293d9a3f6f685ff"><strong id="mrs_01_1419__a175b712c5d084358963df2a9a73e09c4">Cardinality</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.1.3.2.5.1.4"><p id="mrs_01_1419__a45f32c1be91d4cea83f7959a99c263cb"><strong id="mrs_01_1419__ab6e5ec9229de4e15b49044b957d12126">Attribution</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1419__r50f8f535738045f8b5d39c3288a9ad1a"><td class="cellrowborder" valign="top" width="25.169999999999998%" headers="mcps1.3.1.3.2.5.1.1 "><p id="mrs_01_1419__af09eded9713e4d2aae76a376fb70041f">msisdn</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.83%" headers="mcps1.3.1.3.2.5.1.2 "><p id="mrs_01_1419__ac219a6b99ea34187a9e4179b3d4eee9b">String</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.1.3.2.5.1.3 "><p id="mrs_01_1419__ab46bdc84115346c495e269683d61e844">30 million</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.1.3.2.5.1.4 "><p id="mrs_01_1419__a9280631d30c44fbdb462f35f7864f030">dimension</p>
+</td>
+</tr>
+<tr id="mrs_01_1419__ra7ff6e5e43d049d3be65332fec7d2484"><td class="cellrowborder" valign="top" width="25.169999999999998%" headers="mcps1.3.1.3.2.5.1.1 "><p id="mrs_01_1419__aaad6e719df5c4d1a9ccee15d8878b5c4">BEGIN_TIME</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.83%" headers="mcps1.3.1.3.2.5.1.2 "><p id="mrs_01_1419__a23438751eb14428daece149251bd0593">bigint</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.1.3.2.5.1.3 "><p id="mrs_01_1419__a272cb36059384931873f3933cf31028e">10,000</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.1.3.2.5.1.4 "><p id="mrs_01_1419__a9601fa6d74444079bc6eaff8e36a7854">dimension</p>
+</td>
+</tr>
+<tr id="mrs_01_1419__rc9e8502adfdc4a639044a5b1ec998392"><td class="cellrowborder" valign="top" width="25.169999999999998%" headers="mcps1.3.1.3.2.5.1.1 "><p id="mrs_01_1419__a24510870768d4db28bc475bb62ab75c5">host</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.83%" headers="mcps1.3.1.3.2.5.1.2 "><p id="mrs_01_1419__aecca792ab25f41e19af773e50d2b9937">String</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.1.3.2.5.1.3 "><p id="mrs_01_1419__a302bce8956374c2f8f2415f2de68c1d9">1 million</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.1.3.2.5.1.4 "><p id="mrs_01_1419__abd89877856144818b76dec4cad4b0d23">dimension</p>
+</td>
+</tr>
+<tr id="mrs_01_1419__r09b1bd1318c8417199d98aff5430d40b"><td class="cellrowborder" valign="top" width="25.169999999999998%" headers="mcps1.3.1.3.2.5.1.1 "><p id="mrs_01_1419__a73f6bd72d9cc4fb0b383d2edde06f438">dime_1</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.83%" headers="mcps1.3.1.3.2.5.1.2 "><p id="mrs_01_1419__a1bc88e5711b84774ad5b69cd7faae130">String</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.1.3.2.5.1.3 "><p id="mrs_01_1419__a7bd8ddd081e149a39812833bae423d74">1,000</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.1.3.2.5.1.4 "><p id="mrs_01_1419__ad7ed792665994ba0a1725b51dcaab549">dimension</p>
+</td>
+</tr>
+<tr id="mrs_01_1419__r72ca47585980423ab0c49248c24d7bff"><td class="cellrowborder" valign="top" width="25.169999999999998%" headers="mcps1.3.1.3.2.5.1.1 "><p id="mrs_01_1419__a288e6db185d64ef481ae8adcf221fa29">dime_2</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.83%" headers="mcps1.3.1.3.2.5.1.2 "><p id="mrs_01_1419__a2a9ebf815a344a04aaf3d1cb4671bf9a">String</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.1.3.2.5.1.3 "><p id="mrs_01_1419__ad9c15a00c2b9446bbe3be2a50c9a9383">500</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.1.3.2.5.1.4 "><p id="mrs_01_1419__a7f2b7a15b70547c380d2c6de34c3ea69">dimension</p>
+</td>
+</tr>
+<tr id="mrs_01_1419__rceaae94842e343159852202a8d1a7308"><td class="cellrowborder" valign="top" width="25.169999999999998%" headers="mcps1.3.1.3.2.5.1.1 "><p id="mrs_01_1419__a9eac6e3167814b9cb0ae3fa65b87a2e2">dime_3</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.83%" headers="mcps1.3.1.3.2.5.1.2 "><p id="mrs_01_1419__ad672eae553d0495a9498e94ab9d2de56">String</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.1.3.2.5.1.3 "><p id="mrs_01_1419__a1647d379c9114accabdde0b0607cee0d">800</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.1.3.2.5.1.4 "><p id="mrs_01_1419__a20db0f448d404404b260a955923d11d3">dimension</p>
+</td>
+</tr>
+<tr id="mrs_01_1419__re78c0e6afbee4c02a6bfb4be4ed8a2d3"><td class="cellrowborder" valign="top" width="25.169999999999998%" headers="mcps1.3.1.3.2.5.1.1 "><p id="mrs_01_1419__a348d0a4e6bd04e7a8780d2e153d6934d">counter_1</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.83%" headers="mcps1.3.1.3.2.5.1.2 "><p id="mrs_01_1419__a1e6cb30a4b554c209fb8e8115043d71a">numeric(20,0)</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.1.3.2.5.1.3 "><p id="mrs_01_1419__ac0ef7010312349ef8f7baba4376bf50b">NA</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.1.3.2.5.1.4 "><p id="mrs_01_1419__ab2c0953a1ea94d44a60bb327dbc8caad">measure</p>
+</td>
+</tr>
+<tr id="mrs_01_1419__rd22f4475e37e4159875be7e5ac6164be"><td class="cellrowborder" valign="top" width="25.169999999999998%" headers="mcps1.3.1.3.2.5.1.1 "><p id="mrs_01_1419__a833835c0a4374c779148a77202086de9">...</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.83%" headers="mcps1.3.1.3.2.5.1.2 "><p id="mrs_01_1419__a6af56abacdc24edc8cd9f10522285358">...</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.1.3.2.5.1.3 "><p id="mrs_01_1419__a1c218e46d6bd42b7b5537192a6ebd58f">NA</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.1.3.2.5.1.4 "><p id="mrs_01_1419__aeae0038109dc49e8908a7d1ac5f1e525">measure</p>
+</td>
+</tr>
+<tr id="mrs_01_1419__rfc6623a91d574eb1b287c9bfbc79aa75"><td class="cellrowborder" valign="top" width="25.169999999999998%" headers="mcps1.3.1.3.2.5.1.1 "><p id="mrs_01_1419__a8097095bf3404f3e9dd6cd4c1287bebe">counter_100</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.83%" headers="mcps1.3.1.3.2.5.1.2 "><p id="mrs_01_1419__ab9ad748162dd45d98c9ce070e1a93dfc">numeric(20,0)</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.1.3.2.5.1.3 "><p id="mrs_01_1419__af01e4b9d6ac24736a921c5bfc4359fb4">NA</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.1.3.2.5.1.4 "><p id="mrs_01_1419__aa8a19f7d06f94bee990f272f71469a57">measure</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1419__sf72ad57b86234eb6ac4f5bef5f48edd5"><h4 class="sectiontitle">Procedure</h4><ul id="mrs_01_1419__u841234154f00460ba7bdea40baf9d101"><li id="mrs_01_1419__l30d1a1b0c43f4b39bf1164bbc4deb932">If the to-be-created table contains a column that is frequently used for filtering, for example, this column is used in more than 80% of filtering scenarios, <p id="mrs_01_1419__a6089d73174e64da8a51d13da1c47fa76"><a name="mrs_01_1419__l30d1a1b0c43f4b39bf1164bbc4deb932"></a><a name="l30d1a1b0c43f4b39bf1164bbc4deb932"></a>implement optimization as follows: </p>
+<p id="mrs_01_1419__a3d569e79f273442a823f634a38a58eb7">Place this column in the first column of <strong id="mrs_01_1419__b173122315118">sort_columns</strong>. </p>
+<p id="mrs_01_1419__ac9d3093bc2ce4eae9a0b69089bac4c51">For example, if <strong id="mrs_01_1419__b68131527151112">msisdn</strong> is the most frequently used filter criterion in a query, it is placed in the first column. Run the following command to create a table. The query performance is good if <strong id="mrs_01_1419__b27722333782236">msisdn</strong> is used as the filter condition.</p>
+<pre class="screen" id="mrs_01_1419__s006ec0e83ebb432f9bf81c9674021128">create table carbondata_table(
+    msisdn String,
+    ...
+    )STORED AS carbondata TBLPROPERTIES ('SORT_COLUMS'='msisdn');</pre>
+</li><li id="mrs_01_1419__l8034a928bd924e0cba8fdbb15d6c701d">If the to-be-created table has multiple columns which are frequently used to filter the results,<p id="mrs_01_1419__a9a111bf0270847f591539d3a8d4aa973"><a name="mrs_01_1419__l8034a928bd924e0cba8fdbb15d6c701d"></a><a name="l8034a928bd924e0cba8fdbb15d6c701d"></a>implement optimization as follows: </p>
+<p id="mrs_01_1419__a4b1eababc9e94ae688757b5aeba02198">Create an index for the columns. </p>
+<p id="mrs_01_1419__aaf5516ceba9b4daab6a67eb556c09804">For example, if <strong id="mrs_01_1419__b18427542171115">msisdn</strong>, <strong id="mrs_01_1419__b219911453114">host</strong>, and <strong id="mrs_01_1419__b1842804710117">dime_1</strong> are frequently used columns, the <strong id="mrs_01_1419__b10800105014113">sort_columns</strong> column sequence is "dime_1-&gt; host-&gt; msisdn..." based on cardinality. Run the following command to create a table. The following command can improve the filtering performance of <strong id="mrs_01_1419__b207917258127">dime_1</strong>, <strong id="mrs_01_1419__b4807152751210">host</strong>, and <strong id="mrs_01_1419__b17641629181220">msisdn</strong>.</p>
+<pre class="screen" id="mrs_01_1419__s92b1f178ca7d4ee08b8d96b6958de2f2">create table carbondata_table(
+    dime_1 String,
+    host String,
+    msisdn String,
+    dime_2 String,
+    dime_3 String,
+    ...
+    )STORED AS carbondata 
+TBLPROPERTIES ('SORT_COLUMS'='dime_1,host,msisdn');</pre>
+</li><li id="mrs_01_1419__l5adb5aed0720414ab300cee7a88c70f0">If the frequency of each column used for filtering is similar, <p id="mrs_01_1419__a877a9da27175421da0f783d778c3d823"><a name="mrs_01_1419__l5adb5aed0720414ab300cee7a88c70f0"></a><a name="l5adb5aed0720414ab300cee7a88c70f0"></a>implement optimization as follows: </p>
+<p id="mrs_01_1419__a0187ca8024ef4b82924507cba5cc9d64"><strong id="mrs_01_1419__b1055710420124">sort_columns</strong> is sorted in ascending order of cardinality.</p>
+<p id="mrs_01_1419__a26c717e81f3e4fc08e76a118688c8a6d">Run the following command to create a table:</p>
+<pre class="screen" id="mrs_01_1419__s70ea3e0c4cf343faa72aa0a4a15c2ba9">create table carbondata_table(
+    Dime_1 String,
+    BEGIN_TIME bigint,
+    HOST String,
+    MSISDN String,
+    ...
+    )STORED AS carbondata
+TBLPROPERTIES ('SORT_COLUMS'='dime_2,dime_3,dime_1, BEGIN_TIME,host,msisdn');</pre>
+</li><li id="mrs_01_1419__lac3652faf1c24c90a89c6ba20cafd898">Create tables in ascending order of cardinalities. Then create secondary indexes for columns with more cardinalities. The statement for creating an index is as follows:<pre class="screen" id="mrs_01_1419__s59de055404f74be79f0db7b34a335e07">create index carbondata_table_index_msidn on tablecarbondata_table (
+MSISDN String) as 'carbondata' PROPERTIES <em id="mrs_01_1419__a46d90959a11c4b06b28b1e6b9ccdd977">('table_blocksize'='128')</em>;
+create index carbondata_table_index_host on tablecarbondata_table (
+host String) as 'carbondata' PROPERTIES <em id="mrs_01_1419__aec90d5b2aa014ccf987d75a5653f7114">('table_blocksize'='128')</em>;</pre>
+</li><li id="mrs_01_1419__laf10d572f8574372841868e9878c711e">For columns of measure type, not requiring high accuracy, the numeric (20,0) data type is not required. You are advised to use the double data type to replace the numeric (20,0) data type to enhance query performance.<p id="mrs_01_1419__ad68d6d5bba274f98879c003872ec84ef"><a name="mrs_01_1419__laf10d572f8574372841868e9878c711e"></a><a name="laf10d572f8574372841868e9878c711e"></a>The result of performance analysis of test-case shows reduction in query execution time from 15 to 3 seconds, thereby improving performance by nearly 5 times. The command for creating a table is as follows:</p>
+<pre class="screen" id="mrs_01_1419__s259999755d4a4939ad08e752b220ae97">create table carbondata_table(
+    Dime_1 String,
+    BEGIN_TIME bigint,
+    HOST String,
+    MSISDN String,
+    counter_1 double,
+    counter_2 double,
+    ...
+    counter_100 double,
+    )STORED AS carbondata
+;</pre>
+</li><li id="mrs_01_1419__ld83eac8118334e46b574f5268691540e">If values (<strong id="mrs_01_1419__b178446434382236">start_time</strong> for example) of a column are incremental:<p id="mrs_01_1419__a40bf0498198541188a4c979eee290513">For example, if data is loaded to CarbonData every day, <strong id="mrs_01_1419__b196021389882236">start_time</strong> is incremental for each load. In this case, it is recommended that the <strong id="mrs_01_1419__b102851575082236">start_time</strong> column be put at the end of <strong id="mrs_01_1419__b750983582236">sort_columns</strong>, because incremental values are efficient in using min/max index. The command for creating a table is as follows:</p>
+<pre class="screen" id="mrs_01_1419__sb468d2dba7ca433e89ac0ebb63d671d3">create table carbondata_table(
+    Dime_1 String,
+    HOST String,
+    MSISDN String,
+    counter_1 double,
+    counter_2 double,
+    BEGIN_TIME bigint,
+    ...
+    counter_100 double,
+    )STORED AS carbondata 
+    TBLPROPERTIES ( 'SORT_COLUMS'='dime_2,dime_3,dime_1..BEGIN_TIME');</pre>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1417.html">CarbonData Performance Tuning</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1421"></a><a name="mrs_01_1421"></a>
+
+<h1 class="topictitle1">Configurations for Performance Tuning</h1>
+<div id="body1595920210178"><div class="section" id="mrs_01_1421__s6163dde1f93d4485b7d16ed829107719"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1421__ab75b8bd5997449d39f435cc61c44f2c9">This section describes the configurations that can improve CarbonData performance.</p>
+</div>
+<div class="section" id="mrs_01_1421__s685f503fea2b467abda1004571776f6e"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1421__a8ffb486da5c942cda8c370e41620a0ca"><a href="#mrs_01_1421__t21812cb0660b4dc8b7b03d48f5b8e23e">Table 1</a> and <a href="#mrs_01_1421__t8a9249ffd966446e9bfade15a686addd">Table 2</a> describe the configurations about query of CarbonData.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1421__t21812cb0660b4dc8b7b03d48f5b8e23e"></a><a name="t21812cb0660b4dc8b7b03d48f5b8e23e"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1421__t21812cb0660b4dc8b7b03d48f5b8e23e" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Number of tasks started for the shuffle process</caption><tbody><tr id="mrs_01_1421__rd4e71fa03b404108a85211d33121c4e9"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.3.2.3.1.1"><p id="mrs_01_1421__adcc5cf6cb20549f4a7388942b0db1891">Parameter</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_1421__a46520d7704b24f7183f073df49620aa5">spark.sql.shuffle.partitions</p>
+</td>
+</tr>
+<tr id="mrs_01_1421__r42998f697c4d458fb037efb00e8f4e91"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.3.2.3.2.1"><p id="mrs_01_1421__a0f88a0baac3e4cbcacf24200bf4d6519">Configuration File</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.3.2.3.2.1 "><p id="mrs_01_1421__ab2be713086624dd6ad0f5cad5b7d5330">spark-defaults.conf</p>
+</td>
+</tr>
+<tr id="mrs_01_1421__r21945dd1b1124605a952f55f93b692e3"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.3.2.3.3.1"><p id="mrs_01_1421__aad45045e50684763a9da7caf9e883af2">Function</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.3.2.3.3.1 "><p id="mrs_01_1421__a8873684716894b2a8f5b2516224f0295">Data query</p>
+</td>
+</tr>
+<tr id="mrs_01_1421__rdb906a359a22467c8a92b43e1b15bef8"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.3.2.3.4.1"><p id="mrs_01_1421__aa7152097440443c8bf0d32082b987719">Scenario Description</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.3.2.3.4.1 "><p id="mrs_01_1421__a2e994f1db6294e4f81e0acc182eea000">Number of tasks started for the shuffle process in Spark</p>
+</td>
+</tr>
+<tr id="mrs_01_1421__r33cf0afa75b84d89942d52f4c8d8368b"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.3.2.3.5.1"><p id="mrs_01_1421__a0234825298434f3daa22aa11b67c137f">Tuning</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.3.2.3.5.1 "><p id="mrs_01_1421__ae16542be7f8e4813b2abdffc316540f8">You are advised to set this parameter to one to two times as much as the executor cores. In an aggregation scenario, reducing the number from 200 to 32 can reduce the query time by two folds.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+
+<div class="tablenoborder"><a name="mrs_01_1421__t8a9249ffd966446e9bfade15a686addd"></a><a name="t8a9249ffd966446e9bfade15a686addd"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1421__t8a9249ffd966446e9bfade15a686addd" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Number of executors and vCPUs, and memory size used for CarbonData data query</caption><tbody><tr id="mrs_01_1421__r20f86ea97023461d8dabcda028f4c043"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.4.2.3.1.1"><p id="mrs_01_1421__aea9404bb1d294e25addeb27f158dd98d">Parameter</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.4.2.3.1.1 "><p id="mrs_01_1421__ac47839bfa61547858b5a8b4c70e01412">spark.executor.cores</p>
+<p id="mrs_01_1421__a0c0551e09ee7449fb4996e9d6477f634">spark.executor.instances</p>
+<p id="mrs_01_1421__a8257755159b441bca60e336323cff755">spark.executor.memory</p>
+</td>
+</tr>
+<tr id="mrs_01_1421__rf372c278ba4f45cf9c0bfe93a7951732"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.4.2.3.2.1"><p id="mrs_01_1421__a87988fedfeaf48bd8adfe08f65eee965">Configuration File</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.4.2.3.2.1 "><p id="mrs_01_1421__abe6fb4a58f4f40a8aaf5b07055c75610">spark-defaults.conf</p>
+</td>
+</tr>
+<tr id="mrs_01_1421__r85192e0db7bb4cf2bdceea1255e1e603"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.4.2.3.3.1"><p id="mrs_01_1421__a48dce2bb81e64e5490cf7e451110298c">Function</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.4.2.3.3.1 "><p id="mrs_01_1421__a33e8d7385ea14021ab53c03c41e82f8e">Data query</p>
+</td>
+</tr>
+<tr id="mrs_01_1421__r99086a6c4d964f98ab5ce261b6d2c65c"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.4.2.3.4.1"><p id="mrs_01_1421__a388ae3dff4904f9c986737e3a29f76aa">Scenario Description</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.4.2.3.4.1 "><p id="mrs_01_1421__a7fc21510a38547cba44ccd32f7647b93">Number of executors and vCPUs, and memory size used for CarbonData data query</p>
+</td>
+</tr>
+<tr id="mrs_01_1421__r9eee6b360beb4bed92f3fb84412ce40e"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.4.2.3.5.1"><p id="mrs_01_1421__a72eefe1f9f20479c8bdada0b21023f7e">Tuning</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.4.2.3.5.1 "><p id="mrs_01_1421__a7810dee8fb514f6badc6f0bd206db235">In the bank scenario, configuring 4 vCPUs and 15 GB memory for each executor will achieve good performance. The two values do not mean the more the better. Configure the two values properly in case of limited resources. If each node has 32 vCPUs and 64 GB memory in the bank scenario, the memory is not sufficient. If each executor has 4 vCPUs and 12 GB memory, Garbage Collection may occur during query, time spent on query from increases from 3s to more than 15s. In this case, you need to increase the memory or reduce the number of vCPUs.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1421__a658eaad519ea49a8a29d260f060f9036"><a href="#mrs_01_1421__t237c47d9db1c411eaf39aa4d920be2f3">Table 3</a>, <a href="#mrs_01_1421__tcac192b5a3174a15b095684ff1ed0f80">Table 4</a>, and <a href="#mrs_01_1421__tc570296297a34147bc0c5800bff5ef56">Table 5</a> describe the configurations for CarbonData data loading.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1421__t237c47d9db1c411eaf39aa4d920be2f3"></a><a name="t237c47d9db1c411eaf39aa4d920be2f3"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1421__t237c47d9db1c411eaf39aa4d920be2f3" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Number of vCPUs used for data loading</caption><tbody><tr id="mrs_01_1421__r1a3099d2ac8d4f5bb4be4fcafcd6afbe"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.6.2.3.1.1"><p id="mrs_01_1421__a50ba38ad706b4e789623028f910ba8c5">Parameter</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.6.2.3.1.1 "><p id="mrs_01_1421__a8139760782a0406fbc222dd640192d9f">carbon.number.of.cores.while.loading</p>
+</td>
+</tr>
+<tr id="mrs_01_1421__r4f52690dae6b4cff96fba04d6c33c78d"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.6.2.3.2.1"><p id="mrs_01_1421__a5ae31a3f00e24e80a3a714d6b92e84a1">Configuration File</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.6.2.3.2.1 "><p id="mrs_01_1421__ae66e55a51c7d49a1a2e2d56b62279f46">carbon.properties</p>
+</td>
+</tr>
+<tr id="mrs_01_1421__r6aa138a0cf074c699e4eded987beab1d"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.6.2.3.3.1"><p id="mrs_01_1421__a5e6017985a73400bba20f90275bde91d">Function</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.6.2.3.3.1 "><p id="mrs_01_1421__a4c35f40b8b674f038b9ea577f6b54113">Data loading</p>
+</td>
+</tr>
+<tr id="mrs_01_1421__r15369ead630c408cab5e84054534a20f"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.6.2.3.4.1"><p id="mrs_01_1421__a5cee1cf658d6432c812e3ee66cc3ff02">Scenario Description</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.6.2.3.4.1 "><p id="mrs_01_1421__a69612ebaa8f9444d982072bc9e8bc46e">Number of vCPUs used for data processing during data loading in CarbonData</p>
+</td>
+</tr>
+<tr id="mrs_01_1421__r7cabc70c2a364ca792ce00d86b85d598"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.6.2.3.5.1"><p id="mrs_01_1421__a04f431dd719e41ebaeb654b5d220e1ee">Tuning</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.6.2.3.5.1 "><p id="mrs_01_1421__a197b276c126d4b9491a96d433ad6583a">If there are sufficient CPUs, you can increase the number of vCPUs to improve performance. For example, if the value of this parameter is changed from 2 to 4, the CSV reading performance can be doubled.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+
+<div class="tablenoborder"><a name="mrs_01_1421__tcac192b5a3174a15b095684ff1ed0f80"></a><a name="tcac192b5a3174a15b095684ff1ed0f80"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1421__tcac192b5a3174a15b095684ff1ed0f80" frame="border" border="1" rules="all"><caption><b>Table 4 </b>Whether to use Yarn local directories for multi-disk data loading</caption><tbody><tr id="mrs_01_1421__re027b11016864f3b89f41a05cf431f96"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.7.2.3.1.1"><p id="mrs_01_1421__ab5221f6613be458f8dc1d22a544bf677">Parameter</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.7.2.3.1.1 "><p id="mrs_01_1421__afb29dffbfc924a63b2b86d38b5e1e7e7">carbon.use.local.dir</p>
+</td>
+</tr>
+<tr id="mrs_01_1421__rf9776c3f29f24447b7df80928e4e3cb3"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.7.2.3.2.1"><p id="mrs_01_1421__a963ff0bf3fed4ab3909fb6ff5290e841">Configuration File</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.7.2.3.2.1 "><p id="mrs_01_1421__ad434b2869fc84c079653077ce9504a9b">carbon.properties</p>
+</td>
+</tr>
+<tr id="mrs_01_1421__r3e90c2ea1d4b493391d6d09e33570e36"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.7.2.3.3.1"><p id="mrs_01_1421__aec595cd00e384e7c818dca36fde97995">Function</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.7.2.3.3.1 "><p id="mrs_01_1421__ad78a295946364563a2ceb85e312bd507">Data loading</p>
+</td>
+</tr>
+<tr id="mrs_01_1421__re756f7aab307437cbada69c0f5c85362"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.7.2.3.4.1"><p id="mrs_01_1421__a3438a67616934eb69982cfedf3983499">Scenario Description</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.7.2.3.4.1 "><p id="mrs_01_1421__a5858ed69d78d41db9b48a604518d9e2b">Whether to use Yarn local directories for multi-disk data loading</p>
+</td>
+</tr>
+<tr id="mrs_01_1421__r06e39244191a4c59a2e877b7b65b608c"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.7.2.3.5.1"><p id="mrs_01_1421__af17357d419e449ba99f6f8de66981fb5">Tuning</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.7.2.3.5.1 "><p id="mrs_01_1421__a129d697344dc48a0868817c8f0edd4f5">If this parameter is set to <strong id="mrs_01_1421__b3712395602852">true</strong>, CarbonData uses local Yarn directories for multi-table load disk load balance, improving data loading performance.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+
+<div class="tablenoborder"><a name="mrs_01_1421__tc570296297a34147bc0c5800bff5ef56"></a><a name="tc570296297a34147bc0c5800bff5ef56"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1421__tc570296297a34147bc0c5800bff5ef56" frame="border" border="1" rules="all"><caption><b>Table 5 </b>Whether to use multiple directories during loading</caption><tbody><tr id="mrs_01_1421__r4baeca6880b44070ac455bcb7b3d3026"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.8.2.3.1.1"><p id="mrs_01_1421__a5b0a5573b63b4a368780a5e78db43cfa">Parameter</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.8.2.3.1.1 "><p id="mrs_01_1421__adc11a685e7be4dc3995159065e7147b7">carbon.use.multiple.temp.dir</p>
+</td>
+</tr>
+<tr id="mrs_01_1421__rf0645d21251c4f34b6f7352485fa7bed"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.8.2.3.2.1"><p id="mrs_01_1421__aa4db89d2b99e4b7a90a9484c91658226">Configuration File</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.8.2.3.2.1 "><p id="mrs_01_1421__a8afc3177029541279bcb26ae573b7032">carbon.properties</p>
+</td>
+</tr>
+<tr id="mrs_01_1421__r15a1da1f480548d7b73fb8edb551cb89"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.8.2.3.3.1"><p id="mrs_01_1421__a7720346142f546839d17f4df82c9eb44">Function</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.8.2.3.3.1 "><p id="mrs_01_1421__a95bcf3043db541d9ae45d192d392e4de">Data loading</p>
+</td>
+</tr>
+<tr id="mrs_01_1421__r5eba8ff5af9e44f4bdd6434edece2864"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.8.2.3.4.1"><p id="mrs_01_1421__a0a1cba05748f4b69926e30a25f9e574f">Scenario Description</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.8.2.3.4.1 "><p id="mrs_01_1421__ac1cd3e6025734b0e91712e3986dd504b">Whether to use multiple temporary directories to store temporary sort files</p>
+</td>
+</tr>
+<tr id="mrs_01_1421__rf781ed1427634ed08a12b6245c1a0416"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.8.2.3.5.1"><p id="mrs_01_1421__acf7585bbf02c44ca962ab17eab340152">Tuning</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.8.2.3.5.1 "><p id="mrs_01_1421__a8fe1354b91e14f74971d910addfaa7eb">If this parameter is set to <strong id="mrs_01_1421__b13320346602852">true</strong>, multiple temporary directories are used to store temporary sort files during data loading. This configuration improves data loading performance and prevents single points of failure (SPOFs) on disks.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1421__a26ac7e14a25e4c4aa07b5d971099d290"><a href="#mrs_01_1421__taf36a94822c9418ebec5d418fa2cce2e">Table 6</a> describes the configurations for CarbonData data loading and query.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1421__taf36a94822c9418ebec5d418fa2cce2e"></a><a name="taf36a94822c9418ebec5d418fa2cce2e"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1421__taf36a94822c9418ebec5d418fa2cce2e" frame="border" border="1" rules="all"><caption><b>Table 6 </b>Number of vCPUs used for data loading and query</caption><tbody><tr id="mrs_01_1421__rfd5290c4f2a54e6e87641fa2d1ebd512"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.10.2.3.1.1"><p id="mrs_01_1421__a47eeb73123c4406a833a2b4106e2fec1">Parameter</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.10.2.3.1.1 "><p id="mrs_01_1421__afc84ad8404564cabb48271b097544485">carbon.compaction.level.threshold</p>
+</td>
+</tr>
+<tr id="mrs_01_1421__rc5dac12baf274334b66554833f72c8c9"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.10.2.3.2.1"><p id="mrs_01_1421__a45cc396181864397a0078a0d1c0b56ef">Configuration File</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.10.2.3.2.1 "><p id="mrs_01_1421__a096d3874d66c4718a86f4269fa038f97">carbon.properties</p>
+</td>
+</tr>
+<tr id="mrs_01_1421__r7b8ad38ad46044c6bbe0f71a8874b1d7"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.10.2.3.3.1"><p id="mrs_01_1421__ab10ca0c565cf4b94a83eb13cfcd02c86">Function</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.10.2.3.3.1 "><p id="mrs_01_1421__adc51ae5b21d54ae7b51b84c6c00afb05">Data loading and query</p>
+</td>
+</tr>
+<tr id="mrs_01_1421__r269ae23cf44e45458674ffc8973cb95d"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.10.2.3.4.1"><p id="mrs_01_1421__a3db686e579744bb5be85d5265c605de5">Scenario Description</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.10.2.3.4.1 "><p id="mrs_01_1421__a5b3613e836d24b1a98b5eb1cfd42d9ba">For minor compaction, specifies the number of segments to be merged in stage 1 and number of compacted segments to be merged in stage 2.</p>
+</td>
+</tr>
+<tr id="mrs_01_1421__rfb9fe08adfba44a1a0e6beaf9ee173e5"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.10.2.3.5.1"><p id="mrs_01_1421__a6b433e787e104edaba92bad5d64359e8">Tuning</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.10.2.3.5.1 "><p id="mrs_01_1421__a7506bedf122f4b51ab2043fda6402c15">Each CarbonData load will create one segment, if every load is small in size, it will generate many small files over a period of time impacting the query performance. Configuring this parameter will merge the small segments to one big segment which will sort the data and improve the performance.</p>
+<p id="mrs_01_1421__ab1b55e7ef2a84222a2321d2ef29ccbe9">The compaction policy depends on the actual data size and available resources. For example, a bank loads data once a day and at night when no query is performed. If resources are sufficient, the compaction policy can be 6 or 5.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1421__table131743351111" frame="border" border="1" rules="all"><caption><b>Table 7 </b>Whether to enable data pre-loading when the index cache server is used</caption><tbody><tr id="mrs_01_1421__row153176335113"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.11.2.3.1.1"><p id="mrs_01_1421__p1317103312115">Parameter</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.11.2.3.1.1 "><p id="mrs_01_1421__p931763341115">carbon.indexserver.enable.prepriming</p>
+</td>
+</tr>
+<tr id="mrs_01_1421__row931783311116"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.11.2.3.2.1"><p id="mrs_01_1421__p10317173391113">Configuration File</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.11.2.3.2.1 "><p id="mrs_01_1421__p5317173316110">carbon.properties</p>
+</td>
+</tr>
+<tr id="mrs_01_1421__row631743318119"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.11.2.3.3.1"><p id="mrs_01_1421__p2317153313114">Function</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.11.2.3.3.1 "><p id="mrs_01_1421__p19317133111112">Data loading</p>
+</td>
+</tr>
+<tr id="mrs_01_1421__row7317533131116"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.11.2.3.4.1"><p id="mrs_01_1421__p83181033161112">Scenario Description</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.11.2.3.4.1 "><p id="mrs_01_1421__p113181433131111">Enabling data pre-loading during the use of the index cache server can improve the performance of the first query.</p>
+</td>
+</tr>
+<tr id="mrs_01_1421__row2318143312116"><th class="firstcol" valign="top" width="21.43%" id="mcps1.3.2.11.2.3.5.1"><p id="mrs_01_1421__p10318233181119">Tuning</p>
+</th>
+<td class="cellrowborder" valign="top" width="78.57%" headers="mcps1.3.2.11.2.3.5.1 "><p id="mrs_01_1421__p031883313114">You can set this parameter to <strong id="mrs_01_1421__b10759173691314">true</strong> to enable the pre-loading function. The default value is <strong id="mrs_01_1421__b1567316424138">false</strong>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1417.html">CarbonData Performance Tuning</a></div>
+</div>
+</div>
+
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@@ -0,0 +1,174 @@
+<a name="mrs_01_1422"></a><a name="mrs_01_1422"></a>
+
+<h1 class="topictitle1">CarbonData Access Control</h1>
+<div id="body1595920210183"><p id="mrs_01_1422__ae3621e74c69f4bc19017580c1a02c408">The following table provides details about Hive ACL permissions required for performing operations on CarbonData tables.</p>
+<div class="section" id="mrs_01_1422__sa3392f67165245298a3d2ffb1672a912"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_1422__adb5721f42e444466b02d6f3d065a58d9">Parameters listed in <a href="mrs_01_1404.html#mrs_01_1404__ta902cd071dfb426097416a5c7034ee6c">Table 5</a> or <a href="mrs_01_1404.html#mrs_01_1404__t3897ae14f205433fb0f98b79411cfa0c">Table 6</a> have been configured.</p>
+</div>
+<div class="section" id="mrs_01_1422__section499719371830"><h4 class="sectiontitle">Hive ACL permissions</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1422__t5b5b750213444fbc83c32f6e3994b57c" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Hive ACL permissions required for CarbonData table-level operations</caption><thead align="left"><tr id="mrs_01_1422__rb4677962578c437e9cbb765216a0c2fe"><th align="left" class="cellrowborder" valign="top" width="42.66%" id="mcps1.3.3.2.2.3.1.1"><p id="mrs_01_1422__aa4567d364df24c78af7c007ab27c178c">Scenario</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="57.34%" id="mcps1.3.3.2.2.3.1.2"><p id="mrs_01_1422__a1c831c316d7f4a3da7607e123eb287fb">Required Permission</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1422__r7b5a265a207249419535c462c320ecae"><td class="cellrowborder" valign="top" width="42.66%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1422__ab5c95baeb434465889323608ca1c6cca">DESCRIBE TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.34%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1422__ad5f524be9cd349578011b7afc2253fc3">SELECT (of table)</p>
+</td>
+</tr>
+<tr id="mrs_01_1422__re3c8256199ff4de0a56eb6428ec4af8b"><td class="cellrowborder" valign="top" width="42.66%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1422__abc67a7dca11e44d5816cb973fddedabf">SELECT</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.34%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1422__a484fb54ecf3f44d18a9ecf6b7b596e11">SELECT (of table)</p>
+</td>
+</tr>
+<tr id="mrs_01_1422__r2b16f2701cb54c8489ae01bf45def6a2"><td class="cellrowborder" valign="top" width="42.66%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1422__ac332e73abb574d9cb1b251c2ab506e43">EXPLAIN</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.34%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1422__a04f13fc515784062877d78ce1608584b">SELECT (of table)</p>
+</td>
+</tr>
+<tr id="mrs_01_1422__r108a23e124ec45b98d3a93bc9d9319f7"><td class="cellrowborder" valign="top" width="42.66%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1422__a9f29c7bd831e474ebfdb45bf5c65e832">CREATE TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.34%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1422__ade8e2249d41244cb9858f3566902ffda">CREATE (of database)</p>
+</td>
+</tr>
+<tr id="mrs_01_1422__row20539162451520"><td class="cellrowborder" valign="top" width="42.66%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1422__p9553195145619">CREATE TABLE As SELECT</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.34%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1422__p1755312515565">CREATE (on database), INSERT (on  table), RW on data file, and SELECT (on table)</p>
+</td>
+</tr>
+<tr id="mrs_01_1422__r51b4d03366f349c1ad334d2b3c7437ae"><td class="cellrowborder" valign="top" width="42.66%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1422__a89535ec3251f41ca94857abdddb30343">LOAD</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.34%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1422__a419792f20a8e4cff83a450d815501ac3">INSERT (of table) RW on data file</p>
+</td>
+</tr>
+<tr id="mrs_01_1422__r7040bc9894ad407c96389708fcc113d2"><td class="cellrowborder" valign="top" width="42.66%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1422__ae6d101843cfd407e990b9593a5efb835">DROP TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.34%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1422__abc511deefd734d0aa99e67ca43466ab3">OWNER (of table)</p>
+</td>
+</tr>
+<tr id="mrs_01_1422__raa7e23eaddd6483cb54b4b38b0170b0c"><td class="cellrowborder" valign="top" width="42.66%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1422__ab0c5fa96b6bb49899c0d3426d9977480">DELETE SEGMENTS</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.34%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1422__a43774bb7b2e74f1ba560e5d8fa81b8b7">DELETE (of table)</p>
+</td>
+</tr>
+<tr id="mrs_01_1422__r677976a442364e7d9be6710a1a9ffc6f"><td class="cellrowborder" valign="top" width="42.66%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1422__ac10edc2cd011440ea188b09b7cbcb25d">SHOW SEGMENTS</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.34%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1422__abc257c2b8d6343e6a8dcc86f430d424f">SELECT (of table)</p>
+</td>
+</tr>
+<tr id="mrs_01_1422__rb27c58a98f6648f2959d9356d3cf4858"><td class="cellrowborder" valign="top" width="42.66%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1422__a1f4e96e4aacf4b78a64bebab81e0f29e">CLEAN FILES</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.34%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1422__aff35b3a045d648a3a90f18d9f8c345b8">DELETE (of table)</p>
+</td>
+</tr>
+<tr id="mrs_01_1422__r46d7d85f6bc8434aba7e794ffd4e5366"><td class="cellrowborder" valign="top" width="42.66%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1422__aa5e4be8c615a4a679c864509fa82cc09">INSERT OVERWRITE / INSERT INTO</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.34%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1422__aad80b25c32ba4bd9b3bdcb6efe493ddd">INSERT (of table) RW on data file and SELECT (of table)</p>
+</td>
+</tr>
+<tr id="mrs_01_1422__red4b8a7f81df47ad86249a2afd61e1c1"><td class="cellrowborder" valign="top" width="42.66%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1422__a9e179ed119bd487a9305f7c2e0adc121">CREATE INDEX</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.34%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1422__a3f09717b24744822b35b1ca11986b521">OWNER (of table)</p>
+</td>
+</tr>
+<tr id="mrs_01_1422__r8b2afdbec0894d898b960454ac18e929"><td class="cellrowborder" valign="top" width="42.66%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1422__a73a4dd25f1e04e7084cbfbd0cfe4608d">DROP INDEX</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.34%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1422__a1fca129bd3164f68a42b7f981a53518f">OWNER (of table)</p>
+</td>
+</tr>
+<tr id="mrs_01_1422__rc92c11ed3c4047e1bad50656f5cd679f"><td class="cellrowborder" valign="top" width="42.66%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1422__aefef7935423748a891df31971cb5b7e8">SHOW INDEXES</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.34%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1422__a738471fcc9554b01847e284289e04086">SELECT (of table)</p>
+</td>
+</tr>
+<tr id="mrs_01_1422__r194119fa9b2a4e69a92ba6173c73ba65"><td class="cellrowborder" valign="top" width="42.66%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1422__a968b50c3f604446cbf17d452075404a1">ALTER TABLE ADD COLUMN</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.34%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1422__ae72dfacb46c545aca18a8862a9475897">OWNER (of table)</p>
+</td>
+</tr>
+<tr id="mrs_01_1422__rb4db8a9971094ca09c75e91e8d2687fa"><td class="cellrowborder" valign="top" width="42.66%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1422__ab4136968040f4dc083451fcdf9dd279c">ALTER TABLE DROP COLUMN</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.34%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1422__a941b00492e234ca0a1482f4cd22ebf11">OWNER (of table)</p>
+</td>
+</tr>
+<tr id="mrs_01_1422__rf96727bc61ba46bf8c5bf5009c4f9aa4"><td class="cellrowborder" valign="top" width="42.66%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1422__aa17e28a1753541978cab8d603288292f">ALTER TABLE CHANGE DATATYPE</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.34%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1422__a85849aff7d4d456390fd39f54b0a2c3e">OWNER (of table)</p>
+</td>
+</tr>
+<tr id="mrs_01_1422__r6cd682820c63493f8b081cec37e6aa0d"><td class="cellrowborder" valign="top" width="42.66%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1422__a4d60985ea53a4260a088a563ac2e5478">ALTER TABLE RENAME</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.34%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1422__a9dc273e453b841f0b61623937fc18b82">OWNER (of table)</p>
+</td>
+</tr>
+<tr id="mrs_01_1422__rd42f1c72d6fe4ab485e4390117614691"><td class="cellrowborder" valign="top" width="42.66%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1422__a90ec6d802b97446b952349a88f1a146a">ALTER TABLE COMPACTION</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.34%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1422__a7de9c916d88048dfb28e7020f75139ea">INSERT (on table)</p>
+</td>
+</tr>
+<tr id="mrs_01_1422__row344310182147"><td class="cellrowborder" valign="top" width="42.66%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1422__p644331861411">FINISH STREAMING</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.34%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1422__p644341851413">OWNER (of table)</p>
+</td>
+</tr>
+<tr id="mrs_01_1422__row12314162151415"><td class="cellrowborder" valign="top" width="42.66%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1422__p2031414216144">ALTER TABLE SET STREAMING  PROPERTIES</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.34%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1422__p12314102161417">OWNER (of table)</p>
+</td>
+</tr>
+<tr id="mrs_01_1422__row1250682910144"><td class="cellrowborder" valign="top" width="42.66%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1422__p8506429161413">ALTER TABLE SET TABLE  PROPERTIES</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.34%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1422__p350613290148">OWNER (of table)</p>
+</td>
+</tr>
+<tr id="mrs_01_1422__r348ad3dfd4284d16b8e704a4ef344d2b"><td class="cellrowborder" valign="top" width="42.66%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1422__af6a4e5d320034ee0bae6aa481a747e02">UPDATE CARBON TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.34%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1422__a0408987407d04744a2c1dba5c30748db">UPDATE (of table)</p>
+</td>
+</tr>
+<tr id="mrs_01_1422__r54211a34ecc84a508a5c16a594410347"><td class="cellrowborder" valign="top" width="42.66%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1422__afdf5c8a1784f4d62a926398ee9be2d2a">DELETE RECORDS</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.34%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1422__a41471d52260a4654b4ffdfa4c841f584">DELETE (of table)</p>
+</td>
+</tr>
+<tr id="mrs_01_1422__row127116505256"><td class="cellrowborder" valign="top" width="42.66%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1422__p1271450132512">REFRESH TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.34%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1422__p1327215012259">OWNER (of main table)</p>
+</td>
+</tr>
+<tr id="mrs_01_1422__row1844775815252"><td class="cellrowborder" valign="top" width="42.66%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1422__p1044725817254">REGISTER INDEX TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.34%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1422__p8447958122511">OWNER (of table)</p>
+</td>
+</tr>
+<tr id="mrs_01_1422__row780814772614"><td class="cellrowborder" valign="top" width="42.66%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1422__p5808147152612">SHOW PARTITIONS</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.34%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1422__p2080812712263">SELECT (on table)</p>
+</td>
+</tr>
+<tr id="mrs_01_1422__row6889141132615"><td class="cellrowborder" valign="top" width="42.66%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1422__p1188919112262">ALTER TABLE ADD PARTITION</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.34%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1422__p158891711142617">OWNER (of table)</p>
+</td>
+</tr>
+<tr id="mrs_01_1422__row599204182618"><td class="cellrowborder" valign="top" width="42.66%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1422__p299213442610">ALTER TABLE DROP PARTITION</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.34%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1422__p18992114132611">OWNER (of table)</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_1422__n260c0d09588a418ea559cb1baf0184e7"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1422__ubb0c545967d74080acba58e53a16c531"><li id="mrs_01_1422__l0e8ff4b033824a8185d9bb3acf41ebbc">If tables in the database are created by multiple users, the <strong id="mrs_01_1422__b71701333365">Drop database</strong> command fails to be executed even if the user who runs the command is the owner of the database.</li><li id="mrs_01_1422__l1d8512aa564641edb419efa78a018d94">In a secondary index, when the parent table is triggered, <strong id="mrs_01_1422__b315665014293">insert</strong> and <strong id="mrs_01_1422__b52645525294">compaction</strong> are triggered on the index table. If you select a query that has a filter condition that matches index table columns, you should provide selection permissions for the parent table and index table.</li><li id="mrs_01_1422__li1447138173113">The LockFiles folder and lock files created in the LockFiles folder will have full permissions, as the LockFiles folder does not contain any sensitive data.</li><li id="mrs_01_1422__li14849163615319">If you are using ACL, ensure you do not configure any path for DDL or DML which is being used by other process. You are advised to create new paths.<p id="mrs_01_1422__p1313064183612"><a name="mrs_01_1422__li14849163615319"></a><a name="li14849163615319"></a>Configure the path for the following configuration items:</p>
+<p id="mrs_01_1422__p131309411367">1) carbon.badRecords.location</p>
+<p id="mrs_01_1422__p1613018413369">2) Db_Path and other items during database creation</p>
+</li><li id="mrs_01_1422__li953403824415">For Carbon ACL in a non-security cluster, <strong id="mrs_01_1422__b124901153103311">hive.server2.enable.doAs</strong> in the <strong id="mrs_01_1422__b194951535336">hive-site.xml</strong> file must be set to <strong id="mrs_01_1422__b4496253193319">false</strong>. Then the query will run as the user who runs the hiveserver2 process.</li></ul>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1400.html">Using CarbonData (for MRS 3.x or Later)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1423.html b/docs/mrs/component-operation-guide/mrs_01_1423.html
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+<a name="mrs_01_1423"></a><a name="mrs_01_1423"></a>
+
+<h1 class="topictitle1">CarbonData Syntax Reference</h1>
+<div id="body1595920210185"><p id="mrs_01_1423__p8060118"></p>
+</div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1424.html">DDL</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1437.html">DML</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24046.html">Operation Concurrent Execution</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1450.html">API</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1451.html">Spatial Indexes</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1400.html">Using CarbonData (for MRS 3.x or Later)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1424.html b/docs/mrs/component-operation-guide/mrs_01_1424.html
new file mode 100644
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+<a name="mrs_01_1424"></a><a name="mrs_01_1424"></a>
+
+<h1 class="topictitle1">DDL</h1>
+<div id="body1595920210185"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1425.html">CREATE TABLE</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1426.html">CREATE TABLE As SELECT</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1427.html">DROP TABLE</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1428.html">SHOW TABLES</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1429.html">ALTER TABLE COMPACTION</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1430.html">TABLE RENAME</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1431.html">ADD COLUMNS</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1432.html">DROP COLUMNS</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1433.html">CHANGE DATA TYPE</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1434.html">REFRESH TABLE</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1435.html">REGISTER INDEX TABLE</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1423.html">CarbonData Syntax Reference</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1425.html b/docs/mrs/component-operation-guide/mrs_01_1425.html
new file mode 100644
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+<a name="mrs_01_1425"></a><a name="mrs_01_1425"></a>
+
+<h1 class="topictitle1">CREATE TABLE</h1>
+<div id="body1595920210419"><div class="section" id="mrs_01_1425__s19dc8db6467e4f3baa9a662138ec23e8"><h4 class="sectiontitle">Function</h4><p id="mrs_01_1425__a38185df4acf44342944d97b25a811bfc">This command is used to create a CarbonData table by specifying the list of fields along with the table properties.</p>
+</div>
+<div class="section" id="mrs_01_1425__s50bc973493d048dca1b9796f3501b588"><h4 class="sectiontitle">Syntax</h4><p id="mrs_01_1425__ab6dc8da59ff04d7e9dedbe9cf587fe69"><b><span class="cmdname" id="mrs_01_1425__cmdname136512120331">CREATE TABLE</span></b> <i><span class="varname" id="mrs_01_1425__vd069c2942ec04e1587051fb2274dca11">[IF NOT EXISTS] [db_name.]table_name</span></i></p>
+<p id="mrs_01_1425__ab39ecb770e2a4f429182857a16adc26c"><i><span class="varname" id="mrs_01_1425__va499544d22344c84901097f537d961a1">[(col_name data_type, ...)]</span></i></p>
+<p id="mrs_01_1425__a6f403a0c5593455f87e8ebbccd79c5d9"><b><span class="cmdname" id="mrs_01_1425__cmdname1846215603311">STORED AS</span></b> <i><span class="varname" id="mrs_01_1425__ve1aa736435544274905be06d9a93ec49">carbondata</span></i></p>
+<p id="mrs_01_1425__af91f6107db894c66a4a724d73ad45fb0"><i><span class="varname" id="mrs_01_1425__v340f0e61959f42cc985d7af916c4ec3c">[TBLPROPERTIES (property_name=property_value, ...)];</span></i></p>
+<p id="mrs_01_1425__ab6c75aeec671499998f90439c54b7c4c">Additional attributes of all tables are defined in <strong id="mrs_01_1425__b1562776746811">TBLPROPERTIES</strong>.</p>
+</div>
+<div class="section" id="mrs_01_1425__sadc8a75e45a940489bdd3c8c56f13ab0"><h4 class="sectiontitle">Parameter Description</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1425__t6b42300fff2840bfb056a544dc7668f6" frame="border" border="1" rules="all"><caption><b>Table 1 </b>CREATE TABLE parameters</caption><thead align="left"><tr id="mrs_01_1425__r3b448fea562d49e1a73cafd7b09c1dc9"><th align="left" class="cellrowborder" valign="top" width="24.060000000000002%" id="mcps1.3.3.2.2.3.1.1"><p id="mrs_01_1425__aaaf8be0fc53d4336a3cdae9b409856c2"><strong id="mrs_01_1425__a46902e5e15ff49c493be1bc9b01e64bf">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="75.94%" id="mcps1.3.3.2.2.3.1.2"><p id="mrs_01_1425__aa188261f197f4d3c97698b26af1f2e8f"><strong id="mrs_01_1425__afac562deb69e4b39823aef537fac8c5c">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1425__r4979f315a68742dd9dc817c469f9b7bf"><td class="cellrowborder" valign="top" width="24.060000000000002%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1425__a14edab7d5d4441a68efcc0df676211fd">db_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.94%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1425__a87ecf6a3cbb0403fa6140e8ac3b27cf7">Database name that contains letters, digits, and underscores (_).</p>
+</td>
+</tr>
+<tr id="mrs_01_1425__rfc2c4ac506114e89bd3354a305b5d517"><td class="cellrowborder" valign="top" width="24.060000000000002%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1425__a8be3767c702341ba9260a31de8a5c641">col_name data_type</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.94%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1425__a837e594fdc4e44fbad141e033fe4f271">List with data types separated by commas (,). The column name contains letters, digits, and underscores (_).</p>
+<div class="note" id="mrs_01_1425__n65b394ec4b414dedaba7ba00896e4969"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1425__a2520fa63330f4d1f8d2d94d2a382bb5a">When creating a CarbonData table, do not use tupleId, PositionId, and PositionReference as column names because columns with these names are internally used by secondary index commands.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1425__ra1ea2fa9c3bb407fa4527cbeff860b1d"><td class="cellrowborder" valign="top" width="24.060000000000002%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1425__a21692ed3e5a0468f897f115e712de5ab">table_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.94%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1425__af1a35ab6f75d457fbb1041c02662b280">Table name of a database that contains letters, digits, and underscores (_).</p>
+</td>
+</tr>
+<tr id="mrs_01_1425__r8ff05ad7e7eb46c98852e4d1414d16a4"><td class="cellrowborder" valign="top" width="24.060000000000002%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1425__ab4f11fa96d574add97720b7db2eb2e1a">STORED AS</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.94%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1425__a15d1808305624e1d99339670b70ebdea">The <strong id="mrs_01_1425__b16832331738">carbondata</strong> parameter defines and creates a CarbonData table.</p>
+</td>
+</tr>
+<tr id="mrs_01_1425__r6caa920b4fb742a9be4c1401ddef052f"><td class="cellrowborder" valign="top" width="24.060000000000002%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1425__a5a974d6904554f65b40a81c47bcb73ff">TBLPROPERTIES</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.94%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1425__adf528fdf98f3488f95ac2164f0a7f824">List of CarbonData table properties.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1425__s4539dafd333c46ae855caaa175609f60"><a name="mrs_01_1425__s4539dafd333c46ae855caaa175609f60"></a><a name="s4539dafd333c46ae855caaa175609f60"></a><h4 class="sectiontitle">Precautions</h4><div class="p" id="mrs_01_1425__ac4b21c1777864bd89c2089de5a3268f3">Table attributes are used as follows:<ul id="mrs_01_1425__u2c427d95fbc94a958d8b706becb42d22"><li id="mrs_01_1425__l053c6fa1a366488ea6410cb4bb4fc5d1"><a name="mrs_01_1425__l053c6fa1a366488ea6410cb4bb4fc5d1"></a><a name="l053c6fa1a366488ea6410cb4bb4fc5d1"></a>Block size <p id="mrs_01_1425__a34e6d6ebbd854fdf91e7a117929fc806"><a name="mrs_01_1425__l053c6fa1a366488ea6410cb4bb4fc5d1"></a><a name="l053c6fa1a366488ea6410cb4bb4fc5d1"></a>The block size of a data file can be defined for a single table using <strong id="mrs_01_1425__b566984199811">TBLPROPERTIES</strong>. The larger one between the actual size of the data file and the defined block size is selected as the actual block size of the data file in HDFS. The unit is MB. The default value is 1024 MB. The value ranges from 1 MB to 2048 MB. If the value is beyond the range, the system reports an error.</p>
+<p id="mrs_01_1425__a4e376efced3d467885e8211a95ce677f">Once the block size reaches the configured value, the write program starts a new block of CarbonData data. Data is written in multiples of the page size (32,000 records). Therefore, the boundary is not strict at the byte level. If the new page crosses the boundary of the configured block, the page is written to the new block instead of the current block.</p>
+<p id="mrs_01_1425__a10c12ea2e5af44ca9de5fe99bf39d995"><i><span class="varname" id="mrs_01_1425__vb3fa9c91323e48058638ddfee423b1f0">TBLPROPERTIES('table_blocksize'='128')</span></i></p>
+<div class="note" id="mrs_01_1425__nb6a449fe92fb44658f1874607bc0ef89"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1425__u30f2210e6a054826a1ccad3c868ed9ec"><li id="mrs_01_1425__l47f9c432135147b69557d1ccf48a5614">If a small block size is configured in the CarbonData table while the size of the data file generated by the loaded data is large, the block size displayed in HDFS is different from the configured value. This is because when data is written to a local block file for the first time, even though the size of the to-be-written data is larger than the configured value of the block size, data will still be written into the block. Therefore, the actual value of block size in HDFS is the larger value between the size of the data to be written and the configured block size.</li><li id="mrs_01_1425__l9367947e71094a7eac0aef884011817f">If <strong id="mrs_01_1425__b163697050811">block.num </strong>is less than the parallelism, the blocks are split into new blocks so that new blocks.num is greater than parallelism and all cores can be used. This optimization is called block distribution.</li></ul>
+</div></div>
+</li><li id="mrs_01_1425__li1343505014597"><strong id="mrs_01_1425__b697752549811">SORT_SCOPE</strong> specifies the sort scope during table creation. There are four types of sort scopes:<ul id="mrs_01_1425__ul139865713610"><li id="mrs_01_1425__li268232014618"><strong id="mrs_01_1425__b1663679563811">GLOBAL_SORT</strong>: It improves query performance, especially for point queries. <em id="mrs_01_1425__i61785615919">TBLPROPERTIES('SORT_SCOPE'='GLOBAL_SORT'</em>)</li><li id="mrs_01_1425__li2027712291269"><strong id="mrs_01_1425__b12823358139">LOCAL_SORT</strong>: Data is sorted locally (task-level sorting).</li><li id="mrs_01_1425__li766583612619"><strong id="mrs_01_1425__b19247515415">NO_SORT</strong>: The default sorting mode is used. Data is loaded in unsorted manner, which greatly improves loading performance.</li></ul>
+</li><li id="mrs_01_1425__l98b6a23d3c8d495594b3af29618bd9d4">SORT_COLUMNS<p id="mrs_01_1425__abd7fc8eacabb4256885b08274062c6c2"><a name="mrs_01_1425__l98b6a23d3c8d495594b3af29618bd9d4"></a><a name="l98b6a23d3c8d495594b3af29618bd9d4"></a>This table property specifies the order of sort columns.</p>
+<p id="mrs_01_1425__a387b0f0795c543b6967179ed610b807d"><i><span class="varname" id="mrs_01_1425__v355365deec354a5d9d2ce584eaa54c71">TBLPROPERTIES('SORT_COLUMNS'='column1, column3')</span></i></p>
+<div class="note" id="mrs_01_1425__n0296becf465e4b47bd08a9b0fd67cac0"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1425__u9e3796cb68cb4da1a66af259f697a9d2"><li id="mrs_01_1425__l9b85cd1fef3a4c6bb19bca8ba2b8f9b2">If this attribute is not specified, no columns are sorted by default.</li><li id="mrs_01_1425__la9e1da75e1944b5abd1ac20758b6dcfc">If this property is specified but with empty argument, then the table will be loaded without sort. For example, <i><span class="varname" id="mrs_01_1425__ve2f8399b7a834334953d03c2001426a5">('SORT_COLUMNS'='')</span></i>.</li><li id="mrs_01_1425__lac27a075544b4a98978a1cef6294b6b8"><strong id="mrs_01_1425__b209382424416">SORT_COLUMNS</strong> supports the string, date, timestamp, short, int, long, byte, and boolean data types.</li></ul>
+</div></div>
+</li></ul>
+</div>
+</div>
+<ul id="mrs_01_1425__ul1882131174220"><li id="mrs_01_1425__li14882131184210">RANGE_COLUMN<p id="mrs_01_1425__p14333152244319"><a name="mrs_01_1425__li14882131184210"></a><a name="li14882131184210"></a>This property is used to specify a column to partition the input data by range. Only one column can be configured. During data import, you can use <strong id="mrs_01_1425__b1683716031811">global_sort_partitions</strong> or <strong id="mrs_01_1425__b914327338811">scale_factor</strong> to avoid generating small files.</p>
+<p id="mrs_01_1425__p34631218279"><i><span class="varname" id="mrs_01_1425__varname49287361168">TBLPROPERTIES('RANGE_COLUMN'='column1')</span></i></p>
+</li><li id="mrs_01_1425__li175935116177">LONG_STRING_COLUMNS<p id="mrs_01_1425__p201903618177"><a name="mrs_01_1425__li175935116177"></a><a name="li175935116177"></a>The length of a common string cannot exceed 32,000 characters. To store a string of more than 32,000 characters, set <strong id="mrs_01_1425__b5328123414710">LONG_STRING_COLUMNS</strong> to the target column.</p>
+<p id="mrs_01_1425__p17845141692612"><i><span class="varname" id="mrs_01_1425__varname17281522132615">TBLPROPERTIES('LONG_STRING_COLUMNS'='column1, column3')</span></i></p>
+<div class="note" id="mrs_01_1425__note11157112552710"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1425__p8996143917431"><strong id="mrs_01_1425__b32711947774">LONG_STRING_COLUMNS</strong> can be set only for columns of the STRING, CHAR, or VARCHAR type.</p>
+</div></div>
+</li></ul>
+<div class="section" id="mrs_01_1425__s6fad7b442a3b4397a32e1d5a047f54fd"><h4 class="sectiontitle">Scenarios</h4><p id="mrs_01_1425__a67b67d674e5b4156a07b125ccb754b0d">Creating a Table by Specifying Columns</p>
+<p id="mrs_01_1425__a659e9c4ee06f490a98a8369ea6c7e900">The <strong id="mrs_01_1425__b12419835651">CREATE TABLE</strong> command is the same as that of Hive DDL. The additional configurations of CarbonData are provided as table properties.</p>
+<p id="mrs_01_1425__a2acfad759bfe46258cfc72de5dc29722"><b><span class="cmdname" id="mrs_01_1425__cmdname156861959355">CREATE TABLE</span></b> <i><span class="varname" id="mrs_01_1425__v0e5b559852e24af181fd244e33a2b4ab">[IF NOT EXISTS] [db_name.]table_name</span></i></p>
+<p id="mrs_01_1425__ac87e63c4ed8747da8a882781cbb14686"><i><span class="varname" id="mrs_01_1425__vac19636b44454e9d94f3c0963ac40453">[(col_name data_type , ...)]</span></i></p>
+<p id="mrs_01_1425__a15a47310336b41a8871226ed9ad4074b">STORED AS <i><span class="varname" id="mrs_01_1425__veb5512b70c604cab9572a7de6b116db2">carbondata</span></i></p>
+<p id="mrs_01_1425__a231f136e51b74f96b54fddc2e9ff2444"><i><span class="varname" id="mrs_01_1425__vc0dfb53d87704fa795ac4c8ed700b27e">[TBLPROPERTIES (property_name=property_value, ...)];</span></i></p>
+</div>
+<div class="section" id="mrs_01_1425__sf6bb4c6935b2460ca222e90c82356959"><h4 class="sectiontitle">Examples</h4><p id="mrs_01_1425__a45f91a91791e456283e2d8e586ac0a33"><b><span class="cmdname" id="mrs_01_1425__cmdname5806171516358">CREATE TABLE</span></b> <i><span class="varname" id="mrs_01_1425__vc478f415b82b425b85958edad83224bf">IF NOT EXISTS productdb.productSalesTable (</span></i></p>
+<p id="mrs_01_1425__a031b0804fe9b48128717aee214cec9c3"><i><span class="varname" id="mrs_01_1425__vf7b9f862960b418d9c3cb02354381584">productNumber Int,</span></i></p>
+<p id="mrs_01_1425__a5543e3ab83464c028d0e5be219181132"><i><span class="varname" id="mrs_01_1425__v3bd1fc92a84144c7911099b38831d98b">productName String,</span></i></p>
+<p id="mrs_01_1425__a9cf2f52d35a6444c8d6345de47cfaa2a"><i><span class="varname" id="mrs_01_1425__vfdf866c1ba1344aabb2ad47dc4eda3fd">storeCity String,</span></i></p>
+<p id="mrs_01_1425__acdff8aa5ea67485d915ae2a9cae72340"><i><span class="varname" id="mrs_01_1425__vbd306dd7dd644688bc363e50d5cf5f34">storeProvince String,</span></i></p>
+<p id="mrs_01_1425__a7f026e27ff8745e6968ffe4eb31a96ea"><i><span class="varname" id="mrs_01_1425__v404cf32e03c7444097ba1c1a9112e650">productCategory String,</span></i></p>
+<p id="mrs_01_1425__af55754450d23455ea2cb3d8379deaf88"><i><span class="varname" id="mrs_01_1425__v6f00d5dadf3d4c15b92b567699c07dbd">productBatch String,</span></i></p>
+<p id="mrs_01_1425__a5581e46bfe8d4497bcef7dcedbf30700"><i><span class="varname" id="mrs_01_1425__v48c12e6d646f47f7aa2ba5fbb3c4100c">saleQuantity Int,</span></i></p>
+<p id="mrs_01_1425__a10b8049ddebe4ef5b1eed29b828d51d8"><i><span class="varname" id="mrs_01_1425__v7b9182c6db9f498781f5d4ae87c8cb90">revenue Int)</span></i></p>
+<p id="mrs_01_1425__ac6adabe267f6489fb6f27bbc01402868"><i><span class="varname" id="mrs_01_1425__ve01fc08e38c64a608bc2918d4f0ac704">STORED AS  carbondata</span></i></p>
+<p id="mrs_01_1425__a16d9f51e00ca4dd68fa0fa91bea0c072"><i><span class="varname" id="mrs_01_1425__v900883305fca44cfb648d588b55425df">TBLPROPERTIES (</span></i></p>
+<p id="mrs_01_1425__a41a1e30836534cf080c2171f0dec9b42"><i><span class="varname" id="mrs_01_1425__v934ddbb2c6014a60ba3405e88196b042">'table_blocksize'='128',</span></i></p>
+<p id="mrs_01_1425__a1bdb061d9c794e5eacb077d4ba87e93c"><i><span class="varname" id="mrs_01_1425__vdf881c44ecbc4ac3adbcac3b26c80fb7">'SORT_COLUMNS'='productBatch, productName')</span></i></p>
+</div>
+<div class="section" id="mrs_01_1425__sf6d4f1901bea490caaedcf2ad09d7400"><h4 class="sectiontitle">System Response</h4><p id="mrs_01_1425__abd1aa318b00e4fd8b37db0d0c9746755">A table will be created and the success message will be logged in system logs.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1424.html">DDL</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1426.html b/docs/mrs/component-operation-guide/mrs_01_1426.html
new file mode 100644
index 000000000..a449d3f5d
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1426.html
@@ -0,0 +1,52 @@
+<a name="mrs_01_1426"></a><a name="mrs_01_1426"></a>
+
+<h1 class="topictitle1">CREATE TABLE As SELECT</h1>
+<div id="body1595920210643"><div class="section" id="mrs_01_1426__s19dc8db6467e4f3baa9a662138ec23e8"><h4 class="sectiontitle">Function</h4><p id="mrs_01_1426__a38185df4acf44342944d97b25a811bfc">This command is used to create a CarbonData table by specifying the list of fields along with the table properties.</p>
+</div>
+<div class="section" id="mrs_01_1426__s50bc973493d048dca1b9796f3501b588"><h4 class="sectiontitle">Syntax</h4><p id="mrs_01_1426__ab6dc8da59ff04d7e9dedbe9cf587fe69"><b><span class="cmdname" id="mrs_01_1426__cmdname163157165718">CREATE TABLE</span></b><i><span class="varname" id="mrs_01_1426__vd069c2942ec04e1587051fb2274dca11"> [IF NOT EXISTS] [db_name.]table_name</span></i> <em id="mrs_01_1426__i4872191835914"><strong id="mrs_01_1426__b58721184592">STORED AS carbondata </strong></em><em id="mrs_01_1426__i103219715015">[TBLPROPERTIES (key1=val1, key2=val2, ...)] AS 
+select_statement;</em></p>
+</div>
+<div class="section" id="mrs_01_1426__sadc8a75e45a940489bdd3c8c56f13ab0"><h4 class="sectiontitle">Parameter Description</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1426__t6b42300fff2840bfb056a544dc7668f6" frame="border" border="1" rules="all"><caption><b>Table 1 </b>CREATE TABLE parameters</caption><thead align="left"><tr id="mrs_01_1426__r3b448fea562d49e1a73cafd7b09c1dc9"><th align="left" class="cellrowborder" valign="top" width="24.060000000000002%" id="mcps1.3.3.2.2.3.1.1"><p id="mrs_01_1426__aaaf8be0fc53d4336a3cdae9b409856c2"><strong id="mrs_01_1426__b10568193333714">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="75.94%" id="mcps1.3.3.2.2.3.1.2"><p id="mrs_01_1426__aa188261f197f4d3c97698b26af1f2e8f"><strong id="mrs_01_1426__b633463410374">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1426__r4979f315a68742dd9dc817c469f9b7bf"><td class="cellrowborder" valign="top" width="24.060000000000002%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1426__a14edab7d5d4441a68efcc0df676211fd">db_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.94%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1426__a87ecf6a3cbb0403fa6140e8ac3b27cf7">Database name that contains letters, digits, and underscores (_).</p>
+</td>
+</tr>
+<tr id="mrs_01_1426__ra1ea2fa9c3bb407fa4527cbeff860b1d"><td class="cellrowborder" valign="top" width="24.060000000000002%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1426__a21692ed3e5a0468f897f115e712de5ab">table_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.94%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1426__af1a35ab6f75d457fbb1041c02662b280">Table name of a database that contains letters, digits, and underscores (_).</p>
+</td>
+</tr>
+<tr id="mrs_01_1426__r8ff05ad7e7eb46c98852e4d1414d16a4"><td class="cellrowborder" valign="top" width="24.060000000000002%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1426__ab4f11fa96d574add97720b7db2eb2e1a">STORED AS</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.94%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1426__a15d1808305624e1d99339670b70ebdea">Used to store data in CarbonData format.</p>
+</td>
+</tr>
+<tr id="mrs_01_1426__r6caa920b4fb742a9be4c1401ddef052f"><td class="cellrowborder" valign="top" width="24.060000000000002%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1426__a5a974d6904554f65b40a81c47bcb73ff">TBLPROPERTIES</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.94%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1426__adf528fdf98f3488f95ac2164f0a7f824">List of CarbonData table properties. For details, see <a href="mrs_01_1425.html#mrs_01_1425__s4539dafd333c46ae855caaa175609f60">Precautions</a>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1426__section338418109212"><h4 class="sectiontitle">Precautions</h4><p id="mrs_01_1426__p664812212023">N/A</p>
+</div>
+<div class="section" id="mrs_01_1426__sf6bb4c6935b2460ca222e90c82356959"><h4 class="sectiontitle">Examples</h4><p id="mrs_01_1426__p1312962617318"><b><span class="cmdname" id="mrs_01_1426__cmdname1971817393104">CREATE TABLE</span></b> ctas_select_parquet <em id="mrs_01_1426__i181301626331"><strong id="mrs_01_1426__b1013062615314">STORED AS</strong></em>  carbondata as select *  from parquet_ctas_test;</p>
+</div>
+<div class="section" id="mrs_01_1426__sf6d4f1901bea490caaedcf2ad09d7400"><h4 class="sectiontitle">System Response</h4><p id="mrs_01_1426__abd1aa318b00e4fd8b37db0d0c9746755">This example will create a Carbon table from any Parquet table and load all the records from the Parquet table.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1424.html">DDL</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1427.html b/docs/mrs/component-operation-guide/mrs_01_1427.html
new file mode 100644
index 000000000..bc0d337d3
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1427.html
@@ -0,0 +1,41 @@
+<a name="mrs_01_1427"></a><a name="mrs_01_1427"></a>
+
+<h1 class="topictitle1">DROP TABLE</h1>
+<div id="body1595920210860"><div class="section" id="mrs_01_1427__seadaefdd34cb4330a6759ea33b55e675"><h4 class="sectiontitle">Function</h4><p id="mrs_01_1427__ae3794750b218454587e096c0316d4668">This command is used to delete an existing table. </p>
+</div>
+<div class="section" id="mrs_01_1427__sb5971ce54a444ba585c082941c726148"><h4 class="sectiontitle">Syntax</h4><p id="mrs_01_1427__ad0d8faaed42346089db0495908fd8af9"><b><span class="cmdname" id="mrs_01_1427__cmdname136571038182615">DROP TABLE</span></b> <i><span class="varname" id="mrs_01_1427__vef9e52cde0b840e583b710f6b57d8725">[IF EXISTS] [db_name.]table_name;</span></i></p>
+</div>
+<div class="section" id="mrs_01_1427__s5e202cfd3a704ab29af91a11821e5cee"><h4 class="sectiontitle">Parameter Description</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1427__tb1a5289dd4824e67a2741df78e3c0f8e" frame="border" border="1" rules="all"><caption><b>Table 1 </b>DROP TABLE parameters</caption><thead align="left"><tr id="mrs_01_1427__rc7c476b054ad460cbd2e42a72a095c5d"><th align="left" class="cellrowborder" valign="top" width="19.74%" id="mcps1.3.3.2.2.3.1.1"><p id="mrs_01_1427__a625b39a87c23459aaa50267e3a0ce6cb"><strong id="mrs_01_1427__b154501945115715">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="80.25999999999999%" id="mcps1.3.3.2.2.3.1.2"><p id="mrs_01_1427__a0c499d01aeff4b139155f7aeefb99d55"><strong id="mrs_01_1427__b1385245114577">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1427__r71fa9e3a8fbf4ff484174efff6983859"><td class="cellrowborder" valign="top" width="19.74%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1427__a53b607406d914fdf967c1e31d858e7c5">db_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="80.25999999999999%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1427__a9cc9e12bb5fd49248863d1b9bff2f408">Database name. If this parameter is not specified, the current database is selected.</p>
+</td>
+</tr>
+<tr id="mrs_01_1427__rba04127737704719950c15492aed125f"><td class="cellrowborder" valign="top" width="19.74%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1427__ae71b457cf8834973953435644dbacb9e">table_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="80.25999999999999%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1427__a09e63f40f5be4995b35cbb541187332f">Name of the table to be deleted</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1427__sa5a0bdd37e09400c8d928704368e7295"><h4 class="sectiontitle">Precautions</h4><p id="mrs_01_1427__ac8004535651c4de89a9e3483afdacd5d">In this command, <strong id="mrs_01_1427__b5147712585">IF EXISTS</strong> and <strong id="mrs_01_1427__b415211195817">db_name</strong> are optional.</p>
+</div>
+<div class="section" id="mrs_01_1427__s7024684741584366abe9983615938b8d"><h4 class="sectiontitle">Example</h4><p id="mrs_01_1427__a3a4671f590ac4be69f424aed582b58d4"><b><span class="cmdname" id="mrs_01_1427__cmdname1177016237120">DROP TABLE IF EXISTS productDatabase.productSalesTable;</span></b></p>
+</div>
+<div class="section" id="mrs_01_1427__se8fbd108173a46cca6ca9438080264e0"><h4 class="sectiontitle">System Response</h4><p id="mrs_01_1427__a632b30138a064d7fbeeaf4c80249d012">The table will be deleted.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1424.html">DDL</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1428.html b/docs/mrs/component-operation-guide/mrs_01_1428.html
new file mode 100644
index 000000000..39629cbcb
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1428.html
@@ -0,0 +1,36 @@
+<a name="mrs_01_1428"></a><a name="mrs_01_1428"></a>
+
+<h1 class="topictitle1">SHOW TABLES</h1>
+<div id="body1595920211061"><div class="section" id="mrs_01_1428__s1c2fb9c848d3442b9a23498a756f65f5"><h4 class="sectiontitle">Function</h4><p id="mrs_01_1428__a479ab5e8231a42b89b74fc05e4d3658b"><b><span class="cmdname" id="mrs_01_1428__cmdname710710317594">SHOW TABLES</span></b> command is used to list all tables in the current or a specific database.</p>
+</div>
+<div class="section" id="mrs_01_1428__s74e38960eb19422bb6e00e049a8e144e"><h4 class="sectiontitle">Syntax</h4><p id="mrs_01_1428__ab5de08d36c5d4e74818355d86bf1a541"><b><span class="cmdname" id="mrs_01_1428__cmdname76061853111712">SHOW TABLES</span></b> <i><span class="varname" id="mrs_01_1428__v3df6da9948e7442a9ae1f9dcb47f68cb">[IN db_<span id="mrs_01_1428__text8995655103520">n</span>ame];</span></i></p>
+</div>
+<div class="section" id="mrs_01_1428__sc562f5f2c9e440dc8ea25a1f3b145668"><h4 class="sectiontitle">Parameter Description</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1428__tfbb991adf4344d2fb27629f70630100e" frame="border" border="1" rules="all"><caption><b>Table 1 </b>SHOW TABLE parameters</caption><thead align="left"><tr id="mrs_01_1428__ra2ae2775845548aa96989dd3d35456d4"><th align="left" class="cellrowborder" valign="top" width="21.51%" id="mcps1.3.3.2.2.3.1.1"><p id="mrs_01_1428__ae1f9db80a6e04d748d1d60a145cba4e3">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="78.49000000000001%" id="mcps1.3.3.2.2.3.1.2"><p id="mrs_01_1428__a24a4b269e46c4c438c88f9736eb6de45">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1428__rcac5b9ede0f84aaeb6fa3de19f6617d1"><td class="cellrowborder" valign="top" width="21.51%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1428__a0bfe08bbff8f46a5930a16185c8dd4d4">IN db_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="78.49000000000001%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1428__a598b28a35b2c410a94631ef042cc5616">Name of the database. This parameter is required only when tables of this specific database are to be listed.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1428__sbdb980f99f28440d9181a194ac5f3bea"><h4 class="sectiontitle">Usage Guidelines</h4><p id="mrs_01_1428__a04b7ba9bf68843149079bee68fcead6f">IN db_Name is optional.</p>
+</div>
+<div class="section" id="mrs_01_1428__s48d23baacfa245edaf9586eb4ed766d6"><h4 class="sectiontitle">Examples</h4><p id="mrs_01_1428__a98998bf1f87b4dc79691aef11ceb9e85"><b><span class="cmdname" id="mrs_01_1428__cmdname15684185711716">SHOW TABLES IN ProductDatabase;</span></b></p>
+</div>
+<div class="section" id="mrs_01_1428__s3bdfd790912444eaa61e25c34d4fbe0b"><h4 class="sectiontitle">System Response</h4><p id="mrs_01_1428__a1ff9b66a96df47cc8f5244f0ce141747">All tables are listed.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1424.html">DDL</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1429.html b/docs/mrs/component-operation-guide/mrs_01_1429.html
new file mode 100644
index 000000000..cb26ef33a
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1429.html
@@ -0,0 +1,80 @@
+<a name="mrs_01_1429"></a><a name="mrs_01_1429"></a>
+
+<h1 class="topictitle1">ALTER TABLE COMPACTION</h1>
+<div id="body1595920211272"><div class="section" id="mrs_01_1429__s4eff9985730f42b1ac43cae7682c04d0"><h4 class="sectiontitle">Function</h4><p id="mrs_01_1429__a2a6ed53a17a14b03859f7762811525c3">The <b><span class="cmdname" id="mrs_01_1429__cmdname14822104512123">ALTER TABLE COMPACTION</span></b> command is used to merge a specified number of segments into a single segment. This improves the query performance of a table.</p>
+</div>
+<div class="section" id="mrs_01_1429__sb9f3196f54464d9facea781bca33f75f"><h4 class="sectiontitle">Syntax</h4><p id="mrs_01_1429__ad2a7fe15cfcc4d3ab9d733454fba1645"><b><span class="cmdname" id="mrs_01_1429__cmdname179717497124">ALTER TABLE</span></b><i><span class="varname" id="mrs_01_1429__v468e30e0948a4950a3264b18adb3b09f">[db_name.]table_name COMPACT 'MINOR/MAJOR<span id="mrs_01_1429__text92711545181315">/SEGMENT_INDEX</span>';</span></i></p>
+<p id="mrs_01_1429__p277710225103"><b><span class="cmdname" id="mrs_01_1429__cmdname16777112201012">ALTER TABLE</span></b><i><span class="varname" id="mrs_01_1429__varname10777142216109">[db_name.]table_name COMPACT 'CUSTOM' WHERE SEGMENT.ID IN (id1, id2, ...);</span></i></p>
+</div>
+<div class="section" id="mrs_01_1429__sa088f78d884347fbae3ab2e25159126f"><h4 class="sectiontitle">Parameter Description</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1429__tf4e96778927e42dcb9df9c496d684799" frame="border" border="1" rules="all"><caption><b>Table 1 </b>ALTER TABLE COMPACTION parameters</caption><thead align="left"><tr id="mrs_01_1429__r570845a8d9c944ec93042c6ff1d7291b"><th align="left" class="cellrowborder" valign="top" width="20.95%" id="mcps1.3.3.2.2.3.1.1"><p id="mrs_01_1429__a705eb782b792493393903c94817e58ae">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="79.05%" id="mcps1.3.3.2.2.3.1.2"><p id="mrs_01_1429__ac5e778adfa284769bb63888bcad6250f">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1429__reac058474e3d41e79831bd4ca0678b7f"><td class="cellrowborder" valign="top" width="20.95%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1429__a34d365aec2ad41468598c5cb45598ef7">db_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="79.05%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1429__aa97458f730e9427bbc3234f5fe0d17be">Database name. If this parameter is not specified, the current database is selected.</p>
+</td>
+</tr>
+<tr id="mrs_01_1429__r6d676a5c8fd047129020fda1e5e8dbbe"><td class="cellrowborder" valign="top" width="20.95%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1429__aaacd15a0ede04cb7b06275c0d6704de6">table_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="79.05%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1429__ad1a11e201abc43d8ab01ebf4d6c3150f">Table name.</p>
+</td>
+</tr>
+<tr id="mrs_01_1429__row12431164018146"><td class="cellrowborder" valign="top" width="20.95%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1429__p11431124051420">MINOR</p>
+</td>
+<td class="cellrowborder" valign="top" width="79.05%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1429__p043134019140">Minor compaction. For details, see <a href="mrs_01_1415.html">Combining Segments</a>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1429__row1226116433148"><td class="cellrowborder" valign="top" width="20.95%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1429__p1426154341420">MAJOR</p>
+</td>
+<td class="cellrowborder" valign="top" width="79.05%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1429__p182616430144">Major compaction. For details, see <a href="mrs_01_1415.html">Combining Segments</a>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1429__row3942134515145"><td class="cellrowborder" valign="top" width="20.95%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1429__p79421245151415">SEGMENT_INDEX</p>
+</td>
+<td class="cellrowborder" valign="top" width="79.05%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1429__p1942945121413">This configuration enables you to merge all the CarbonData index files (<strong id="mrs_01_1429__b145156437443">.carbonindex</strong>) inside a segment to a single CarbonData index merge file (<strong id="mrs_01_1429__b947895564419">.carbonindexmerge</strong>). This enhances the first query performance. For more information, see <a href="mrs_01_1415.html#mrs_01_1415__t9ba7557f991f4d6caad3710c4a51b9f2">Table 1</a>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1429__row15344124151115"><td class="cellrowborder" valign="top" width="20.95%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1429__p9345846114">CUSTOM</p>
+</td>
+<td class="cellrowborder" valign="top" width="79.05%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1429__p1234524141116">Custom compaction. For details, see <a href="mrs_01_1415.html#mrs_01_1415__li68503712544">Combining Segments</a>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1429__s052c1bb0ea4b4677a592016efaae6d36"><h4 class="sectiontitle">Precautions</h4><p id="mrs_01_1429__a31c8d8ffb1f4411bbfbf2abc7916270f">N/A</p>
+</div>
+<div class="section" id="mrs_01_1429__sd7ed1bc618ec4c0ea2c9af3bef556391"><h4 class="sectiontitle">Examples</h4><p id="mrs_01_1429__a8a46e26e62644ee181e83b438f612306"><b><span class="cmdname" id="mrs_01_1429__cmdname07576115105">ALTER TABLE ProductDatabase COMPACT 'MINOR';</span></b></p>
+<p id="mrs_01_1429__a3316b71035c8480095d80c23874821af"><b><span class="cmdname" id="mrs_01_1429__cmdname167410512101">ALTER TABLE ProductDatabase COMPACT 'MAJOR';</span></b></p>
+<p id="mrs_01_1429__p72395436191"><b><span class="cmdname" id="mrs_01_1429__cmdname1583013717207">ALTER  TABLE ProductDatabase COMPACT 'SEGMENT_INDEX';</span></b></p>
+<p id="mrs_01_1429__p13951947185110"><b><span class="cmdname" id="mrs_01_1429__cmdname12395174715115">ALTER  TABLE ProductDatabase COMPACT 'CUSTOM' WHERE SEGMENT.ID IN (0, 1);</span></b></p>
+</div>
+<div class="section" id="mrs_01_1429__s19b6f7bd7ee3472b9bfe85999ee5cbbb"><h4 class="sectiontitle">System Response</h4><p id="mrs_01_1429__a0cc71e62e1d849a781093dd25dc6d549"><b><span class="cmdname" id="mrs_01_1429__cmdname7860185681211">ALTER TABLE COMPACTION</span></b> does not show the response of the compaction because it is run in the background.</p>
+<p id="mrs_01_1429__ab426d09774b6422a81469092db09cade">If you want to view the response of minor and major compactions, you can check the logs or run the <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1429__cmdname1751111216464">SHOW SEGMENTS</span></b></i> command.</p>
+<p id="mrs_01_1429__a17bbe719e44e45a4b2c49ba57d975e73">Example:</p>
+<pre class="screen" id="mrs_01_1429__sd9661f67e7844e51b522d8feeea7f385">+------+------------+--------------------------+------------------+------------+------------+-------------+--------------+--+
+|  ID  |   Status   |     Load Start Time      | Load Time Taken  | Partition  | Data Size  | Index Size  | File Format  |
++------+------------+--------------------------+------------------+------------+------------+-------------+--------------+--+
+| 3    | Success    | 2020-09-28 22:53:26.336  | 3.726S           | {}         | 6.47KB     | 3.30KB      | columnar_v3  |
+| 2    | Success    | 2020-09-28 22:53:01.702  | 6.688S           | {}         | 6.47KB     | 3.30KB      | columnar_v3  |
+| 1    | Compacted  | 2020-09-28 22:51:15.242  | 5.82S            | {}         | 6.50KB     | 3.43KB      | columnar_v3  |
+| 0.1  | Success    | 2020-10-30 20:49:24.561  | 16.66S           | {}         | 12.87KB    | 6.91KB      | columnar_v3  |
+| 0    | Compacted  | 2020-09-28 22:51:02.6    | 6.819S           | {}         | 6.50KB     | 3.43KB      | columnar_v3  |
++------+------------+--------------------------+------------------+------------+------------+-------------+--------------+--+</pre>
+<p id="mrs_01_1429__a68eb567286c6483d91830fbfbe0213b6">In the preceding information:</p>
+<ul id="mrs_01_1429__ud2232034cf1247628a3dbefba47a8d81"><li id="mrs_01_1429__l14723e129b1c4fb891122b2cc8fe9846"><strong id="mrs_01_1429__b63141227174617">Compacted</strong> indicates that data has been compacted. </li><li id="mrs_01_1429__l378bb5c42d3646b3a89127f1c1a08e81"><strong id="mrs_01_1429__b1463182984619">0.1</strong> indicates the compacting result of segment 0 and segment 1. </li></ul>
+<p id="mrs_01_1429__a707a023b8a0a4621902b96da6f648d25">The compact operation does not incur any change to other operations.</p>
+<p id="mrs_01_1429__a19c5a7b6ed0141a7bf0fc48dbe871fed">Compacted segments, such as segment 0 and segment 1, become useless. To save space, before you perform other operations, run the <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1429__cmdname84731056194613">CLEAN FILES</span></b></i> command to delete compacted segments. For more information about the <b><span class="cmdname" id="mrs_01_1429__cmdname13611010273">CLEAN FILES</span></b> command, see <a href="mrs_01_1448.html">CLEAN FILES</a>.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1424.html">DDL</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1430.html b/docs/mrs/component-operation-guide/mrs_01_1430.html
new file mode 100644
index 000000000..ee5653707
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1430.html
@@ -0,0 +1,47 @@
+<a name="mrs_01_1430"></a><a name="mrs_01_1430"></a>
+
+<h1 class="topictitle1">TABLE RENAME</h1>
+<div id="body1595920211473"><div class="section" id="mrs_01_1430__s7b11660f852643e4aea864de4998005c"><h4 class="sectiontitle">Function</h4><p id="mrs_01_1430__a888e3ae84b374510bb693e3ac4a99e65">This command is used to rename an existing table.</p>
+</div>
+<div class="section" id="mrs_01_1430__s2c3f60acb93b4356ac5bc67abfff07d4"><h4 class="sectiontitle">Syntax</h4><p id="mrs_01_1430__af55fd62a83a348cebfdbd02362bd4349"><b><span class="cmdname" id="mrs_01_1430__cmdname1662619212139">ALTER TABLE</span></b> <i><span class="varname" id="mrs_01_1430__vdd0a92613851481b81facbee550e2d35">[db_name.]table_name</span></i> <b><span class="cmdname" id="mrs_01_1430__cmdname147611459275">RENAME TO</span></b> <i><span class="varname" id="mrs_01_1430__v3666be9470fd4049886c488afc1a8826">new_table_name</span></i>;</p>
+</div>
+<div class="section" id="mrs_01_1430__sdc0323c750764d6f96d43319912b8366"><h4 class="sectiontitle">Parameter Description</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1430__ta7db20ab0a0f433281cbbaa17fa10298" frame="border" border="1" rules="all"><caption><b>Table 1 </b>RENAME parameters</caption><thead align="left"><tr id="mrs_01_1430__rf04e12d959bc4a21aaf9613b9a8b86a7"><th align="left" class="cellrowborder" valign="top" width="22.45%" id="mcps1.3.3.2.2.3.1.1"><p id="mrs_01_1430__a0c6c715fc61345639fcd0562447b4788">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="77.55%" id="mcps1.3.3.2.2.3.1.2"><p id="mrs_01_1430__a8d01c89092cd4e1c9715ef2f7175411a">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1430__rc834ec772a4b4cf7a86e07e109b677f2"><td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1430__a91a5840c84f849ec98da5dfb14cc5347">db_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.55%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1430__abe62ac583eb84a4090a9fc8223fa7411">Database name. If this parameter is not specified, the current database is selected.</p>
+</td>
+</tr>
+<tr id="mrs_01_1430__rf6c9315194b945d6b550d071d92c8ebd"><td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1430__acaa4dea953054ed4b08b81fc650976f6">table_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.55%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1430__a3fea95dbbcb0488492de620a57117419">Current name of the existing table</p>
+</td>
+</tr>
+<tr id="mrs_01_1430__r643ecc765c5341c0bdf0b7018c6f469a"><td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1430__a85a34ddb85c445318c4691995e98a2cd">new_table_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.55%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1430__a4073487e45db420f8d81f417625213bb">New name of the existing table</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1430__s86c7e792f3f84be0874b3cd6dfac9337"><h4 class="sectiontitle">Precautions</h4><ul id="mrs_01_1430__u484dc67ce27444228eb25e52796160fc"><li id="mrs_01_1430__l40eb261ae03b40e1a9ba552c915d41c1">Parallel queries (using table names to obtain paths for reading CarbonData storage files) may fail during this operation.</li><li id="mrs_01_1430__l4b02f6e829884d468fd4ab0cc4b26a2b">The secondary index table cannot be renamed.</li></ul>
+</div>
+<div class="section" id="mrs_01_1430__s9ad0c997bd244f47b9f878599f356f6c"><h4 class="sectiontitle">Example</h4><p id="mrs_01_1430__a9810ffe75c194e30bf7b7cf73ad13d4d"><b><span class="cmdname" id="mrs_01_1430__cmdname10690670131">ALTER TABLE</span></b> <i><span class="varname" id="mrs_01_1430__v5e0aec7bcd204d8589a9fe1d958e619a">carbon</span></i> <b><span class="cmdname" id="mrs_01_1430__cmdname1915581181317">RENAME TO</span></b> <i><span class="varname" id="mrs_01_1430__vf4227d32c0e94c1ab11a5e0f514ce405">carbondata</span></i>;</p>
+<p id="mrs_01_1430__aaa83be497de44aaba7b3418082ce8fa0"><b><span class="cmdname" id="mrs_01_1430__cmdname07821514191314">ALTER TABLE</span></b> <i><span class="varname" id="mrs_01_1430__v967148d80f7e49d0b58abff4a9f745e7">test_db.carbon</span></i> <b><span class="cmdname" id="mrs_01_1430__cmdname1480619206137">RENAME TO</span></b> <i><span class="varname" id="mrs_01_1430__vbb913b9a896b48049e003e068bb7de1b">test_db.carbondata</span></i>;</p>
+</div>
+<div class="section" id="mrs_01_1430__scf320ce38a6a4f94918d119806d95fe1"><h4 class="sectiontitle">System Response</h4><p id="mrs_01_1430__a267e6e3b3fb6490683573e752aa4c6c3">The new table name will be displayed in the CarbonData folder. You can run <strong id="mrs_01_1430__b85734519536">SHOW TABLES</strong> to view the new table name.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1424.html">DDL</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1431.html b/docs/mrs/component-operation-guide/mrs_01_1431.html
new file mode 100644
index 000000000..58c53602c
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1431.html
@@ -0,0 +1,48 @@
+<a name="mrs_01_1431"></a><a name="mrs_01_1431"></a>
+
+<h1 class="topictitle1">ADD COLUMNS</h1>
+<div id="body1595920211683"><div class="section" id="mrs_01_1431__sa1cb229bf26b4a7a8efd1716defb63de"><h4 class="sectiontitle">Function</h4><p id="mrs_01_1431__ac917e6d6e78044e99179c0e0f5284232">This command is used to add a column to an existing table.</p>
+</div>
+<div class="section" id="mrs_01_1431__sc019b10a59e9426498a678c024d74f03"><h4 class="sectiontitle">Syntax</h4><p id="mrs_01_1431__ade33c61d12d049f8a0ab2538ce894440"><b><span class="cmdname" id="mrs_01_1431__cmdname67412714133">ALTER TABLE</span></b> <i><span class="varname" id="mrs_01_1431__v0218405770da4a66bab17413724b33ef">[db_name.]table_name</span></i> <b><span class="cmdname" id="mrs_01_1431__cmdname6841530161313">ADD COLUMNS</span></b> <i><span class="varname" id="mrs_01_1431__v1011a0e23107494faa79a92185d1e984">(col_name data_type,...)</span></i> <b><span class="cmdname" id="mrs_01_1431__cmdname11215183551319">TBLPROPERTIES</span></b><i><span class="varname" id="mrs_01_1431__v7a7ed8ecac4441d6978ef8caeb37cfc7">(''COLUMNPROPERTIES.columnName.shared_column'='sharedFolder.sharedColumnName,...', 'DEFAULT.VALUE.COLUMN_NAME'='default_value')</span></i>;</p>
+</div>
+<div class="section" id="mrs_01_1431__s253f086de08745ac890027c0b103cd7a"><h4 class="sectiontitle">Parameter Description</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1431__ta69e9ecdc1554375a8a1e844b14e00c5" frame="border" border="1" rules="all"><caption><b>Table 1 </b>ADD COLUMNS parameters</caption><thead align="left"><tr id="mrs_01_1431__r61ddb6139b8d4f4ca4a88c6389f8f327"><th align="left" class="cellrowborder" valign="top" width="24.89%" id="mcps1.3.3.2.2.3.1.1"><p id="mrs_01_1431__aeb0bfa560fb74f1f9e584cc1ef05bb9b">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="75.11%" id="mcps1.3.3.2.2.3.1.2"><p id="mrs_01_1431__ae81789e97e6d4953a8342f22d64feea9">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1431__re06e5e8fff8843fe84403c19e570e3f2"><td class="cellrowborder" valign="top" width="24.89%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1431__afdc41077453c4291997170b1ab57f04d">db_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.11%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1431__a95e3427330524b4b9c6af41366afd1fd">Database name. If this parameter is not specified, the current database is selected.</p>
+</td>
+</tr>
+<tr id="mrs_01_1431__r4a578c7015ba461bab46a5c40c46256a"><td class="cellrowborder" valign="top" width="24.89%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1431__ac25da7f69c964d93947693ed5b4006cb">table_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.11%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1431__a09288a5af7f44e36922b37de34446d94">Table name.</p>
+</td>
+</tr>
+<tr id="mrs_01_1431__rbf8f7998df2b40979c8e9e64d667e180"><td class="cellrowborder" valign="top" width="24.89%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1431__a440446fee79947738959536aa886e611">col_name data_type</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.11%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1431__a9e6c31cb47f84b3d920a2ac5563ed7bf">Name of a comma-separated column with a data type. It consists of letters, digits, and underscores (_).</p>
+<div class="note" id="mrs_01_1431__n79385f1f99e34e9ba0fb44c3855905b0"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1431__a0d8c8a5cc97a443ab3aeca91f0a32caf">When creating a CarbonData table, do not name columns as tupleId, PositionId, and PositionReference because they will be used in UPDATE, DELETE, and secondary index commands.</p>
+</div></div>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1431__s486ec4e997f847db995de2e1be1f7bd2"><h4 class="sectiontitle">Precautions</h4><ul id="mrs_01_1431__u456725972e234be3baabd062981672f5"><li id="mrs_01_1431__lece9b081af8349f6992997d485f6998d">Only <strong id="mrs_01_1431__b136478818147">shared_column</strong> and <strong id="mrs_01_1431__b166535813145">default_value</strong> are read. If any other property name is specified, no error will be thrown and the property will be ignored.</li><li id="mrs_01_1431__l6e33c715d5f44381b7b97ffacdd48aba">If no default value is specified, the default value of the new column is considered null.</li><li id="mrs_01_1431__le991932b5be84a29ad331d37e690b193">If filter is applied to the column, new columns will not be added during sort. New columns may affect query performance.</li></ul>
+</div>
+<div class="section" id="mrs_01_1431__s55536c9c534643ed8272f9f4b47fb407"><h4 class="sectiontitle">Examples</h4><ul id="mrs_01_1431__u7dd2908e171f4a26b31c6673dfeaf2fb"><li id="mrs_01_1431__lddf30cddf65b4e3498bf3a6bd89b853e"><b><span class="cmdname" id="mrs_01_1431__cmdname185932420135">ALTER TABLE</span></b> <i><span class="varname" id="mrs_01_1431__v2172a8dcc9fe4fcda54be7ae35bb8ab4">carbon</span></i> <b><span class="cmdname" id="mrs_01_1431__cmdname89938459132">ADD COLUMNS</span></b> <i><span class="varname" id="mrs_01_1431__vbfc8481653374de687e34a039f72b022">(a1 INT, b1 STRING)</span></i>;</li><li id="mrs_01_1431__l9ab1e9aec0134041bad78c69347a6300"><b><span class="cmdname" id="mrs_01_1431__cmdname10602121613143">ALTER TABLE</span></b> <i><span class="varname" id="mrs_01_1431__v60b2e595d2614db88d1aa949a8285b08">carbon</span></i> <b><span class="cmdname" id="mrs_01_1431__cmdname12509820191419">ADD COLUMNS</span></b> <i><span class="varname" id="mrs_01_1431__v72cc58def8dc451cba8702a11345c364">(a1 INT, b1 STRING)</span></i> <b><span class="cmdname" id="mrs_01_1431__cmdname979312233149">TBLPROPERTIES</span></b><i><span class="varname" id="mrs_01_1431__va825484497d94e2688035827e1f7f73a">('COLUMNPROPERTIES.b1.shared_column'='sharedFolder.b1')</span></i>;</li><li id="mrs_01_1431__l191b374e00ed4f32b5db2e9cbc9be7f6">ALTER TABLE <i><span class="varname" id="mrs_01_1431__ve7649af8bb3a44c795b3c3bf9d49682e">carbon</span></i> <b><span class="cmdname" id="mrs_01_1431__cmdname1119193216144">ADD COLUMNS</span></b> <i><span class="varname" id="mrs_01_1431__v4d5b6aef4581483da9aa7cff96ecf38e">(a1 INT, b1 STRING)</span></i> <b><span class="cmdname" id="mrs_01_1431__cmdname14776235121414">TBLPROPERTIES</span></b><i><span class="varname" id="mrs_01_1431__vf94331c1c4dd4fedad2e4f48e78d29d9">('DEFAULT.VALUE.a1'='10')</span></i>;</li></ul>
+</div>
+<div class="section" id="mrs_01_1431__sbd5eea8637c94038bf6a129ab9ca129f"><h4 class="sectiontitle">System Response</h4><p id="mrs_01_1431__ab3f2ebd199c342fb9103cbe4f02c7148">The newly added column can be displayed by running the <strong id="mrs_01_1431__b10167796128159">DESCRIBE</strong> command.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1424.html">DDL</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1432.html b/docs/mrs/component-operation-guide/mrs_01_1432.html
new file mode 100644
index 000000000..f3fa8f3a2
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1432.html
@@ -0,0 +1,51 @@
+<a name="mrs_01_1432"></a><a name="mrs_01_1432"></a>
+
+<h1 class="topictitle1">DROP COLUMNS</h1>
+<div id="body1595920211938"><div class="section" id="mrs_01_1432__s494ddc1dd7e2490eb063c8ce529cc452"><h4 class="sectiontitle">Function</h4><p id="mrs_01_1432__a5506d5ecc6ea4e9ca5b59a2222ac9501">This command is used to delete one or more columns from a table.</p>
+</div>
+<div class="section" id="mrs_01_1432__s59188cabaa794a428ef0688f8f6bad24"><h4 class="sectiontitle">Syntax</h4><p id="mrs_01_1432__a3962158458ef450d977754c31013714e"><b><span class="cmdname" id="mrs_01_1432__cmdname14292114119143">ALTER TABLE</span></b> <i><span class="varname" id="mrs_01_1432__v7c2993bbf6a54a6abec620957a9940a7">[db_name.]table_name</span></i> <b><span class="cmdname" id="mrs_01_1432__cmdname12387460148">DROP COLUMNS</span></b> <i><span class="varname" id="mrs_01_1432__v789e9e06435f423aa2d8f9844ce374cd">(col_name, ...)</span></i>;</p>
+</div>
+<div class="section" id="mrs_01_1432__s740c62e2bdba42fbbfde99f918aea831"><h4 class="sectiontitle">Parameter Description</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1432__t1a037221ea024e24bc444cef27b030f5" frame="border" border="1" rules="all"><caption><b>Table 1 </b>DROP COLUMNS parameters</caption><thead align="left"><tr id="mrs_01_1432__rb11890d74bf34c84b71038cb1f7194e0"><th align="left" class="cellrowborder" valign="top" width="19.439999999999998%" id="mcps1.3.3.2.2.3.1.1"><p id="mrs_01_1432__ab5005c2bf1aa4617aab0282131f514a9">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="80.56%" id="mcps1.3.3.2.2.3.1.2"><p id="mrs_01_1432__a239f651d72f64266bc847166563d18db">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1432__rae513e62727c4ff59af1c53da40afa2a"><td class="cellrowborder" valign="top" width="19.439999999999998%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1432__aa500769b84dd4bd0bd245e0ca95e4dc7">db_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="80.56%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1432__a94cccab87a4c4876ad174bb6ad2c4d4f">Database name. If this parameter is not specified, the current database is selected.</p>
+</td>
+</tr>
+<tr id="mrs_01_1432__rfad5b30e64eb4740b95e11d0b4789130"><td class="cellrowborder" valign="top" width="19.439999999999998%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1432__a15255f01bf7540e0a0c2cc3336263986">table_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="80.56%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1432__af7869093ad50436999fb18be5eeada3e">Table name.</p>
+</td>
+</tr>
+<tr id="mrs_01_1432__r12d76c3b8ebb49fcaa5024c835f850a7"><td class="cellrowborder" valign="top" width="19.439999999999998%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1432__a7890c0e708e040539cfc5593ba7692ad">col_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="80.56%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1432__a74f0e93f169d40f3a6c73f54dd24f6ed">Name of a column in a table. Multiple columns are supported. It consists of letters, digits, and underscores (_).</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1432__s66beba64f4b64d00af01667c2d5fa261"><h4 class="sectiontitle">Precautions</h4><p id="mrs_01_1432__p2456182111118">After a column is deleted, at least one key column must exist in the schema. Otherwise, an error message is displayed, and the column fails to be deleted.</p>
+</div>
+<div class="section" id="mrs_01_1432__s4a8c07d2a6814105b00a2104cc888dec"><h4 class="sectiontitle">Examples</h4><p id="mrs_01_1432__a3be80f9414c943aab4a7c1343115316a">Assume that the table contains four columns named a1, b1, c1, and d1.</p>
+<ul id="mrs_01_1432__u612a860e51a14547a9cb638f5b80f43f"><li id="mrs_01_1432__l9f290ec263c047cd91251b5112184074">Delete a column:<p id="mrs_01_1432__ada392616bd4049adba24b7b90ddd1a4f"><a name="mrs_01_1432__l9f290ec263c047cd91251b5112184074"></a><a name="l9f290ec263c047cd91251b5112184074"></a><b><span class="cmdname" id="mrs_01_1432__cmdname16371452151410">ALTER TABLE</span></b> <i><span class="varname" id="mrs_01_1432__vd5f4d6cc6e7c4b10911a8e84f9161d7d">carbon</span></i> <b><span class="cmdname" id="mrs_01_1432__cmdname899035591410">DROP COLUMNS</span></b> <i><span class="varname" id="mrs_01_1432__vf8e2984f6b1a45c89fa4bb931d4c15f2">(b1)</span></i>;</p>
+<p id="mrs_01_1432__ad0054b4b883e4e7ca6ff754054e79516"><b><span class="cmdname" id="mrs_01_1432__cmdname1583211017158">ALTER TABLE</span></b> <i><span class="varname" id="mrs_01_1432__vd57ff232d05a46c2868fdd48ec989c7f">test_db.carbon</span></i> <b><span class="cmdname" id="mrs_01_1432__cmdname117774181513">DROP COLUMNS</span></b> <i><span class="varname" id="mrs_01_1432__v4d1fdd6c4e69478ca465cba6acab0806">(b1)</span></i>;</p>
+</li><li id="mrs_01_1432__l47d9b32dbc9b4c228a78914f2934e464">Delete multiple columns:<p id="mrs_01_1432__a76c0ccecbb994aee8d380dd2c9609335"><a name="mrs_01_1432__l47d9b32dbc9b4c228a78914f2934e464"></a><a name="l47d9b32dbc9b4c228a78914f2934e464"></a><b><span class="cmdname" id="mrs_01_1432__cmdname28635761511">ALTER TABLE</span></b> <i><span class="varname" id="mrs_01_1432__v0d348c5d92894dbe9d2df0ed6bba4dbf">carbon</span></i> <b><span class="cmdname" id="mrs_01_1432__cmdname1287141116152">DROP COLUMNS</span></b> <i><span class="varname" id="mrs_01_1432__v879e2eed46e549189072c2a8d7a4b3aa">(b1,c1)</span></i>;</p>
+<p id="mrs_01_1432__a61696a76a68e4104a32a1c9e847ca50d"><b><span class="cmdname" id="mrs_01_1432__cmdname2877315121512">ALTER TABLE</span></b> <i><span class="varname" id="mrs_01_1432__v3d1e595844554d798bd003e7f97f28ab">test_db.carbon</span></i> <b><span class="cmdname" id="mrs_01_1432__cmdname1925791911153">DROP COLUMNS</span></b> <i><span class="varname" id="mrs_01_1432__v3522a13048854b42b2d6f28ba1d54aed">(b1,c1)</span></i>;</p>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1432__s5cc5c1837dd4409f9e8d6f22ec7ebe44"><h4 class="sectiontitle">System Response</h4><p id="mrs_01_1432__a272107c5f85b47a8bcfb9fab9936fa9e">If you run the <strong id="mrs_01_1432__b5462117141012">DESCRIBE</strong> command, the deleted columns will not be displayed.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1424.html">DDL</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1433.html b/docs/mrs/component-operation-guide/mrs_01_1433.html
new file mode 100644
index 000000000..34981ad78
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1433.html
@@ -0,0 +1,56 @@
+<a name="mrs_01_1433"></a><a name="mrs_01_1433"></a>
+
+<h1 class="topictitle1">CHANGE DATA TYPE</h1>
+<div id="body1595920212170"><div class="section" id="mrs_01_1433__sd8e4ffaa71fc4034a9e2882d7c664984"><h4 class="sectiontitle">Function</h4><p id="mrs_01_1433__a1b6e3ab1a6a8455ea35fb870b4639d6e">This command is used to change the data type from INT to BIGINT or decimal precision from lower to higher.</p>
+</div>
+<div class="section" id="mrs_01_1433__s62a70620dabc4e4eb96778f71c580e7f"><h4 class="sectiontitle">Syntax</h4><p id="mrs_01_1433__a6b356e6432854134892ad04ebe29e30a"><b><span class="cmdname" id="mrs_01_1433__cmdname11690114192020">ALTER TABLE</span></b> <i><span class="varname" id="mrs_01_1433__v32ab5b13ac364204b51c622cbc717593">[db_name.]table_name</span></i> <b><span class="cmdname" id="mrs_01_1433__cmdname38741318182012">CHANGE</span></b> <i><span class="varname" id="mrs_01_1433__vf08a99ec72b343689f413d635c634452">col_name col_name changed_column_type</span></i>;</p>
+</div>
+<div class="section" id="mrs_01_1433__sd00174c8f3e8417ea0037e034192d094"><h4 class="sectiontitle">Parameter Description</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1433__td330633f0f1a4e839893ee60997ac66b" frame="border" border="1" rules="all"><caption><b>Table 1 </b>CHANGE DATA TYPE parameters</caption><thead align="left"><tr id="mrs_01_1433__r520a27852cb34cb7928beb87ae57c383"><th align="left" class="cellrowborder" valign="top" width="19.439999999999998%" id="mcps1.3.3.2.2.3.1.1"><p id="mrs_01_1433__a2d7b4ba625ae4e73b3de582488dc2354">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="80.56%" id="mcps1.3.3.2.2.3.1.2"><p id="mrs_01_1433__a13d327fe75f04ee5aa721ffef31b1687">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1433__r29602039075d4ee29712ba3776de3028"><td class="cellrowborder" valign="top" width="19.439999999999998%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1433__aa52e22f2600e4f7cb864be20ae67a97f">db_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="80.56%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1433__a75965636f150489ab9dbf4e657309412">Name of the database. If this parameter is left unspecified, the current database is selected.</p>
+</td>
+</tr>
+<tr id="mrs_01_1433__re6d39247ca1244249d7687ea10dcd0c8"><td class="cellrowborder" valign="top" width="19.439999999999998%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1433__a94889b6d62534a839457c1f3f6ecc741">table_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="80.56%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1433__a9cc3bd83b1044286b7a79068ee33df1e">Name of the table.</p>
+</td>
+</tr>
+<tr id="mrs_01_1433__rb4f07e1091404b65bddffe9e7e8ef91a"><td class="cellrowborder" valign="top" width="19.439999999999998%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1433__a7d60b6cc3e1e4dfcadb2f71a4b554b03">col_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="80.56%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1433__a5f54892bbecc42bf8830e346e0891a7a">Name of columns in a table. Column names contain letters, digits, and underscores (_).</p>
+</td>
+</tr>
+<tr id="mrs_01_1433__r8746b8ab039b4d699910a29c3cc8ca46"><td class="cellrowborder" valign="top" width="19.439999999999998%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1433__afd1931c3c83d42898750138877a69f59">changed_column_type</p>
+</td>
+<td class="cellrowborder" valign="top" width="80.56%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1433__ac2ffb746750d415388cb1ed822223dbf">The change in the data type.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1433__sa2d037069b6d4ccba70108f63dcd4897"><h4 class="sectiontitle">Usage Guidelines</h4><ul id="mrs_01_1433__ub5353c8fe89e43a2ae2bc152a88a73e3"><li id="mrs_01_1433__lc7875d7fca414e40ac453297953c1857">Change of decimal data type from lower precision to higher precision will only be supported for cases where there is no data loss.<p id="mrs_01_1433__a97f186b667e049ce92b62a768d58e57b"><a name="mrs_01_1433__lc7875d7fca414e40ac453297953c1857"></a><a name="lc7875d7fca414e40ac453297953c1857"></a>Example:</p>
+<ul id="mrs_01_1433__u6be9f6dc71ff413abd29862252a243e6"><li id="mrs_01_1433__lf86b63e4136a40d6b733c43880f24d56"><strong id="mrs_01_1433__ac433970176ab4f73a2565bc14996a329">Invalid scenario</strong> - Change of decimal precision from (10,2) to (10,5) is not valid as in this case only scale is increased but total number of digits remain the same.</li><li id="mrs_01_1433__l000070d3283b41d38dc2ea1aca2ad660"><strong id="mrs_01_1433__a29cd47f728074aa0898b356999428cb0">Valid scenario</strong> - Change of decimal precision from (10,2) to (12,3) is valid as the total number of digits are increased by 2 but scale is increased only by 1 which will not lead to any data loss.</li></ul>
+</li></ul>
+<ul id="mrs_01_1433__ua54e8c3a4a6a49d79b221d6ed3c26782"><li id="mrs_01_1433__lee0490827a3048e29d1ff6e18f817079">The allowed range is 38,38 (precision, scale) and is a valid upper case scenario which is not resulting in data loss.</li></ul>
+</div>
+<div class="section" id="mrs_01_1433__s02de0ffe591b41d9b8435c03f68288f4"><h4 class="sectiontitle">Examples</h4><ul id="mrs_01_1433__u206f975e5e4a420ba1c44a77d4e2936c"><li id="mrs_01_1433__l87a9ea52385d4b30b5ff16fce001b664">Changing data type of column a1 from INT to BIGINT.<p id="mrs_01_1433__a7726335ac6b644f394c6aab6f7d2d170"><a name="mrs_01_1433__l87a9ea52385d4b30b5ff16fce001b664"></a><a name="l87a9ea52385d4b30b5ff16fce001b664"></a><b><span class="cmdname" id="mrs_01_1433__cmdname16180162492014">ALTER TABLE</span></b> <i><span class="varname" id="mrs_01_1433__vfe234c1df41740509685381f925849e4">test_db.carbon</span></i> <b><span class="cmdname" id="mrs_01_1433__cmdname1226172762020">CHANGE</span></b> <i><span class="varname" id="mrs_01_1433__v4708e7a863684f82ac730e242495c4ee">a1 a1 BIGINT</span></i>;</p>
+</li><li id="mrs_01_1433__l12d34a7bbbf5418bb66e05a5965d5db4">Changing decimal precision of column a1 from 10 to 18.<p id="mrs_01_1433__aa4d853c6362d4fd382bb044772af9020"><a name="mrs_01_1433__l12d34a7bbbf5418bb66e05a5965d5db4"></a><a name="l12d34a7bbbf5418bb66e05a5965d5db4"></a><b><span class="cmdname" id="mrs_01_1433__cmdname8766230182012">ALTER TABLE</span></b> <i><span class="varname" id="mrs_01_1433__v937f0cf23c0848aa8ff921f9bbf9ba76">test_db.carbon</span></i> <b><span class="cmdname" id="mrs_01_1433__cmdname19501734142012">CHANGE</span></b> <i><span class="varname" id="mrs_01_1433__v12a5265b7032418392250bb23d0a434c">a1 a1 DECIMAL(18,2)</span></i>;</p>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1433__sc1e4d30b28cb4317b1b12496c7d2b1d6"><h4 class="sectiontitle">System Response</h4><p id="mrs_01_1433__af0ecf2d950024408bc04ed4dedea0996">By running DESCRIBE command, the changed data type for the modified column is displayed.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1424.html">DDL</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1434.html b/docs/mrs/component-operation-guide/mrs_01_1434.html
new file mode 100644
index 000000000..4b48f7195
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1434.html
@@ -0,0 +1,41 @@
+<a name="mrs_01_1434"></a><a name="mrs_01_1434"></a>
+
+<h1 class="topictitle1">REFRESH TABLE</h1>
+<div id="body1595920212398"><div class="section" id="mrs_01_1434__sd8e4ffaa71fc4034a9e2882d7c664984"><h4 class="sectiontitle">Function</h4><p id="mrs_01_1434__p37191523174813">This command is used to register Carbon table to Hive meta store catalogue from exisiting Carbon table data.</p>
+</div>
+<div class="section" id="mrs_01_1434__s62a70620dabc4e4eb96778f71c580e7f"><h4 class="sectiontitle">Syntax</h4><p id="mrs_01_1434__a876a375878f34475b81778d30639af9e"><b><span class="cmdname" id="mrs_01_1434__cmdname163911923016">REFRESH TABLE</span></b> <i><span class="varname" id="mrs_01_1434__vda68c2e0cec5495092f0669b5cea4d1a">db_name.table_name</span></i>;</p>
+</div>
+<div class="section" id="mrs_01_1434__sd00174c8f3e8417ea0037e034192d094"><h4 class="sectiontitle">Parameter Description</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1434__td330633f0f1a4e839893ee60997ac66b" frame="border" border="1" rules="all"><caption><b>Table 1 </b>REFRESH TABLE parameters</caption><thead align="left"><tr id="mrs_01_1434__r520a27852cb34cb7928beb87ae57c383"><th align="left" class="cellrowborder" valign="top" width="19.439999999999998%" id="mcps1.3.3.2.2.3.1.1"><p id="mrs_01_1434__a2d7b4ba625ae4e73b3de582488dc2354">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="80.56%" id="mcps1.3.3.2.2.3.1.2"><p id="mrs_01_1434__a13d327fe75f04ee5aa721ffef31b1687">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1434__r29602039075d4ee29712ba3776de3028"><td class="cellrowborder" valign="top" width="19.439999999999998%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1434__aa52e22f2600e4f7cb864be20ae67a97f">db_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="80.56%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1434__a75965636f150489ab9dbf4e657309412">Name of the database. If this parameter is left unspecified, the current database is selected.</p>
+</td>
+</tr>
+<tr id="mrs_01_1434__re6d39247ca1244249d7687ea10dcd0c8"><td class="cellrowborder" valign="top" width="19.439999999999998%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1434__a94889b6d62534a839457c1f3f6ecc741">table_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="80.56%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1434__a9cc3bd83b1044286b7a79068ee33df1e">Name of the table.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1434__sa2d037069b6d4ccba70108f63dcd4897"><h4 class="sectiontitle">Usage Guidelines</h4><ul id="mrs_01_1434__ul413241145112"><li id="mrs_01_1434__li313271135111">The new database name and the old database name should be same.</li><li id="mrs_01_1434__li31325117512">Before executing this command the old table schema and data should be copied into the new database location.</li><li id="mrs_01_1434__li19132131111515">If the table is aggregate table,  then all the aggregate tables should be copied to the new database location.</li><li id="mrs_01_1434__li15132311125112">For old store, the time zone of the source and destination cluster should be same.</li><li id="mrs_01_1434__li101321511165117">If old cluster used HIVE meta store to store schema, refresh will not work as schema file does not exist in file system.</li></ul>
+</div>
+<div class="section" id="mrs_01_1434__s02de0ffe591b41d9b8435c03f68288f4"><h4 class="sectiontitle">Examples</h4><p id="mrs_01_1434__p177320369216"><b><span class="cmdname" id="mrs_01_1434__cmdname155157187319">REFRESH TABLE</span></b> <em id="mrs_01_1434__i939713371521">dbcarbon</em>.<em id="mrs_01_1434__i15397437923">productSalesTable</em>;</p>
+</div>
+<div class="section" id="mrs_01_1434__sc1e4d30b28cb4317b1b12496c7d2b1d6"><h4 class="sectiontitle">System Response</h4><p id="mrs_01_1434__p351470125317">By running this command, the Carbon table will be registered to Hive meta store catalogue from exisiting Carbon table data.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1424.html">DDL</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1435.html b/docs/mrs/component-operation-guide/mrs_01_1435.html
new file mode 100644
index 000000000..c24602cf3
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1435.html
@@ -0,0 +1,57 @@
+<a name="mrs_01_1435"></a><a name="mrs_01_1435"></a>
+
+<h1 class="topictitle1">REGISTER INDEX TABLE</h1>
+<div id="body1595920212399"><div class="section" id="mrs_01_1435__sd8e4ffaa71fc4034a9e2882d7c664984"><h4 class="sectiontitle">Function</h4><p id="mrs_01_1435__a5196137f907243259747ce96c5c8b405">This command is used to register an index table with the primary table.</p>
+</div>
+<div class="section" id="mrs_01_1435__s62a70620dabc4e4eb96778f71c580e7f"><h4 class="sectiontitle">Syntax</h4><p id="mrs_01_1435__a876a375878f34475b81778d30639af9e"><b><span class="cmdname" id="mrs_01_1435__cmdname163911923016">REGISTER INDEX TABLE</span></b> <i><span class="varname" id="mrs_01_1435__varname13194898613">indextable_name</span></i> ON <i><span class="varname" id="mrs_01_1435__varname15994132611617">db_name.maintable_name</span></i>;</p>
+</div>
+<div class="section" id="mrs_01_1435__sd00174c8f3e8417ea0037e034192d094"><h4 class="sectiontitle">Parameter Description</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1435__td330633f0f1a4e839893ee60997ac66b" frame="border" border="1" rules="all"><caption><b>Table 1 </b>REFRESH INDEX TABLE parameters</caption><thead align="left"><tr id="mrs_01_1435__r520a27852cb34cb7928beb87ae57c383"><th align="left" class="cellrowborder" valign="top" width="30.91%" id="mcps1.3.3.2.2.3.1.1"><p id="mrs_01_1435__a2d7b4ba625ae4e73b3de582488dc2354">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="69.08999999999999%" id="mcps1.3.3.2.2.3.1.2"><p id="mrs_01_1435__a13d327fe75f04ee5aa721ffef31b1687">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1435__r29602039075d4ee29712ba3776de3028"><td class="cellrowborder" valign="top" width="30.91%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1435__aa52e22f2600e4f7cb864be20ae67a97f">db_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.08999999999999%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1435__a75965636f150489ab9dbf4e657309412">Database name. If this parameter is not specified, the current database is selected.</p>
+</td>
+</tr>
+<tr id="mrs_01_1435__re6d39247ca1244249d7687ea10dcd0c8"><td class="cellrowborder" valign="top" width="30.91%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1435__a94889b6d62534a839457c1f3f6ecc741">indextable_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.08999999999999%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1435__a9cc3bd83b1044286b7a79068ee33df1e">Index table name.</p>
+</td>
+</tr>
+<tr id="mrs_01_1435__row12412581684"><td class="cellrowborder" valign="top" width="30.91%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1435__p154112580813">maintable_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.08999999999999%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1435__p17416589816">Primary table name.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1435__sa2d037069b6d4ccba70108f63dcd4897"><h4 class="sectiontitle">Precautions</h4><p id="mrs_01_1435__p1657072114332">Before running this command, run <strong id="mrs_01_1435__b13914357141110">REFRESH TABLE</strong> to register the primary table and secondary index table with the Hive metastore.</p>
+</div>
+<div class="section" id="mrs_01_1435__s02de0ffe591b41d9b8435c03f68288f4"><h4 class="sectiontitle">Examples</h4><p id="mrs_01_1435__p187067211169"><strong id="mrs_01_1435__b2079089171613">create database </strong><strong id="mrs_01_1435__b1643111207261">productdb;</strong></p>
+<p id="mrs_01_1435__p0706726163"><strong id="mrs_01_1435__b1795512241264">use productdb;</strong></p>
+<p id="mrs_01_1435__p970613216166"><strong id="mrs_01_1435__b1695682412611">CREATE TABLE productSalesTable(a int,b string,c string) stored as carbondata;</strong></p>
+<p id="mrs_01_1435__p1705329168"><strong id="mrs_01_1435__b169575249265">create index productNameIndexTable on table productSalesTable(c) as 'carbondata';</strong></p>
+<p id="mrs_01_1435__p137057219168"><strong id="mrs_01_1435__b139573247264">insert into table productSalesTable select 1,'a','aaa';</strong></p>
+<p id="mrs_01_1435__p57057241620"><strong id="mrs_01_1435__b895862420262">create database productdb2;</strong></p>
+<p id="mrs_01_1435__p1370515211611">Run the <strong id="mrs_01_1435__b135716379442">hdfs</strong> command to copy <strong id="mrs_01_1435__b1026344834415">productSalesTable</strong> and <strong id="mrs_01_1435__b6403165384410">productNameIndexTable</strong> in the <strong id="mrs_01_1435__b151584714452">productdb</strong> database to the <strong id="mrs_01_1435__b19972131484516">productdb2 </strong>database.</p>
+<p id="mrs_01_1435__p1970510220164"><strong id="mrs_01_1435__b179591624132616">refresh table productdb2.productSalesTable ;</strong></p>
+<p id="mrs_01_1435__p177057261619"><strong id="mrs_01_1435__b3960824152619">refresh table productdb2.productNameIndexTable ;</strong></p>
+<p id="mrs_01_1435__p37051220161"><strong id="mrs_01_1435__b10429173216269">explain select * from productdb2.productSalesTable where c = 'aaa';</strong>  / The query command does not use an index table.</p>
+<p id="mrs_01_1435__p1370522181610"><strong id="mrs_01_1435__b10962142413261">REGISTER INDEX TABLE productNameIndexTable ON productdb2.productSalesTable;</strong></p>
+<p id="mrs_01_1435__p4705192151610"><strong id="mrs_01_1435__b536893912269">explain select * from productdb2.productSalesTable where c = 'aaa';  </strong> // The query command uses an index table.</p>
+</div>
+<div class="section" id="mrs_01_1435__sc1e4d30b28cb4317b1b12496c7d2b1d6"><h4 class="sectiontitle">System Response</h4><p id="mrs_01_1435__a1d061e440570489199ac5d773bb2c76f">By running this command, the index table will be registered to the primary table.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1424.html">DDL</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1437.html b/docs/mrs/component-operation-guide/mrs_01_1437.html
new file mode 100644
index 000000000..67e5fe242
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1437.html
@@ -0,0 +1,37 @@
+<a name="mrs_01_1437"></a><a name="mrs_01_1437"></a>
+
+<h1 class="topictitle1">DML</h1>
+<div id="body1595920212401"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1438.html">LOAD DATA</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1439.html">UPDATE CARBON TABLE</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1440.html">DELETE RECORDS from CARBON TABLE</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1441.html">INSERT INTO CARBON TABLE</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1442.html">DELETE SEGMENT by ID</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1443.html">DELETE SEGMENT by DATE</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1444.html">SHOW SEGMENTS</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1445.html">CREATE SECONDARY INDEX</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1446.html">SHOW SECONDARY INDEXES</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1447.html">DROP SECONDARY INDEX</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1448.html">CLEAN FILES</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1449.html">SET/RESET</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1423.html">CarbonData Syntax Reference</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1438.html b/docs/mrs/component-operation-guide/mrs_01_1438.html
new file mode 100644
index 000000000..8b004959c
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1438.html
@@ -0,0 +1,208 @@
+<a name="mrs_01_1438"></a><a name="mrs_01_1438"></a>
+
+<h1 class="topictitle1">LOAD DATA</h1>
+<div id="body1595920212612"><div class="section" id="mrs_01_1438__sbcf3c5dfd5e64e3cbb83be9da9b7f66a"><h4 class="sectiontitle">Function</h4><p id="mrs_01_1438__a54d8e7a919cf4c899f49661ee944d6f0">This command is used to load user data of a particular type, so that CarbonData can provide good query performance.</p>
+<div class="note" id="mrs_01_1438__na1d0a7be07f34416a4b60aa050aaad3c"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1438__p7805257161219">Only the raw data on HDFS can be loaded.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1438__sf0c281125d99406bbd9c957a4eb70d58"><h4 class="sectiontitle">Syntax</h4><p id="mrs_01_1438__a0976c2c6528446199df1cb1d922ed609"><b><span class="cmdname" id="mrs_01_1438__cmdname17276125131614">LOAD DATA</span></b> <i><span class="varname" id="mrs_01_1438__v74f09271355e409bb7db4957b7c6e221">INPATH 'folder_path' INTO TABLE [db_name.]table_name OPTIONS(property_name=property_value, ...);</span></i></p>
+</div>
+<div class="section" id="mrs_01_1438__sb6649b1ad1954ca7b2f4f50ae35c8f08"><h4 class="sectiontitle">Parameter Description</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1438__t029f367c79f24ddeb167ed9c75f3201f" frame="border" border="1" rules="all"><caption><b>Table 1 </b>LOAD DATA parameters</caption><thead align="left"><tr id="mrs_01_1438__r221d06955aea4ec49666db5414d2fe20"><th align="left" class="cellrowborder" valign="top" width="25.2%" id="mcps1.3.3.2.2.3.1.1"><p id="mrs_01_1438__a97060f3d522c4cbd99809e842429d486"><strong id="mrs_01_1438__b142563105714">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="74.8%" id="mcps1.3.3.2.2.3.1.2"><p id="mrs_01_1438__a95634856a4c944a48a805d6f3d693be0"><strong id="mrs_01_1438__b1317210218574">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1438__r36726998738c4cb48b34d3cebc2f6581"><td class="cellrowborder" valign="top" width="25.2%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1438__a0e157eac0bef487497105e3143e7d142">folder_path</p>
+</td>
+<td class="cellrowborder" valign="top" width="74.8%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1438__a6389c1c42b3b4dcdaebdf8dd5e585d56">Path of the file or folder used for storing the raw CSV data.</p>
+</td>
+</tr>
+<tr id="mrs_01_1438__rb2200cd0639149c68035fc51c8969231"><td class="cellrowborder" valign="top" width="25.2%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1438__a19922fa0349d4570b371ea604ea82212">db_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="74.8%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1438__ae6b79564ef1543688ced3520dc1dc5ab">Database name. If this parameter is not specified, the current database is used.</p>
+</td>
+</tr>
+<tr id="mrs_01_1438__rf0edeb6175da4a7eb8bc2c8eaa49d8cd"><td class="cellrowborder" valign="top" width="25.2%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1438__a3c1ac51ba00f41f9abbb2093de0d80ff">table_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="74.8%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1438__aab65138225c749e69ad85cf4d190b22f">Name of a table in a database.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1438__sd7720bec4e3a4c4f92ccaddcd133ab37"><h4 class="sectiontitle">Precautions</h4><p id="mrs_01_1438__afed07ecdbaa34bcc90f3d2d5b845be14">The following configuration items are involved during data loading:</p>
+<ul id="mrs_01_1438__u2457a948e5394473b9588097c81d663f"><li id="mrs_01_1438__ld785869fa38447c6883f9374f9937c0a"><strong id="mrs_01_1438__b16289243205810">DELIMITER</strong>: Delimiters and quote characters provided in the load command. The default value is a comma (<strong id="mrs_01_1438__b18118145115583">,</strong>).<p id="mrs_01_1438__af463d4e147c145628e83f4f45f6592e6"><i><span class="varname" id="mrs_01_1438__v340dec3e84354b36b50cb057a1b4917e">OPTIONS('DELIMITER'=',' , 'QUOTECHAR'='"')</span></i></p>
+<p id="mrs_01_1438__a10a5d569278c498cb12b2e4f2d9cc807">You can use <strong id="mrs_01_1438__b1659712579323">'DELIMITER'='\t'</strong> to separate CSV data using tabs.</p>
+<p id="mrs_01_1438__ae2e8d46b87bc4a51ad46eb4d4ef8a91a">OPTIONS('DELIMITER'='\t')</p>
+<p id="mrs_01_1438__ae4db0e40c32d49a08fcfe4a43d026e62">CarbonData also supports <strong id="mrs_01_1438__b181071852343">\001</strong> and <strong id="mrs_01_1438__b58641819342">\017</strong> as delimiters.</p>
+<div class="note" id="mrs_01_1438__n8cab0868ed42489d805b7274769d70f2"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1438__ab4ec6d093b004466bd8b28c69157c564">When the delimiter of CSV data is a single quotation mark ('), the single quotation mark must be enclosed in double quotation marks (" "). For example, 'DELIMITER'= "'".</p>
+</div></div>
+</li><li id="mrs_01_1438__l41e56a2ee4d044f2988651eb0d1cb760"><strong id="mrs_01_1438__b1920017271342">QUOTECHAR</strong>: Delimiters and quote characters provided in the load command. The default value is double quotation marks (<strong id="mrs_01_1438__b939432915343">"</strong>).<p id="mrs_01_1438__a88b7486e1d274f64997bc6a08b908c29"><i><span class="varname" id="mrs_01_1438__vf670e396f78f46488b5358bcd563150d">OPTIONS('DELIMITER'=',' , 'QUOTECHAR'='"')</span></i></p>
+</li><li id="mrs_01_1438__l75df21af6ecf46fba7057f3e45f9c59c"><strong id="mrs_01_1438__b164101537173417">COMMENTCHAR</strong>: Comment characters provided in the load command. During data loading, if there is a comment character at the beginning of a line, the line is regarded as a comment line and data in the line will not be loaded. The default value is a pound key (#).<p id="mrs_01_1438__a5e9d3271bbfb41179ef7d996c0488c52"><i><span class="varname" id="mrs_01_1438__v83ec23f1dd054061b083a7589cd588d7">OPTIONS('COMMENTCHAR'='#')</span></i></p>
+</li><li id="mrs_01_1438__l2d5b1c55c8cf439d8174e7cca703ba06"><strong id="mrs_01_1438__b1685612440348">FILEHEADER</strong>: If the source file does not contain any header, add a header to the <strong id="mrs_01_1438__b148611844113415">LOAD DATA</strong> command.<p id="mrs_01_1438__aee2cf411d6fa451c94148d062b6d63f1"><i><span class="varname" id="mrs_01_1438__vc3df609d748f4cce8f8587bef3dbcc2e">OPTIONS('FILEHEADER'='column1,column2')</span></i></p>
+</li><li id="mrs_01_1438__l91305ed8c9af49389e668e34d095db1d"><strong id="mrs_01_1438__b1177385011346">ESCAPECHAR</strong>: Is used to perform strict verification of the escape character on CSV files. The default value is backslash (<strong id="mrs_01_1438__b4736195603411">\</strong>).<p id="mrs_01_1438__a74ada0d1c39143bb88b87f1e3ff83729">OPTIONS('ESCAPECHAR'='\')</p>
+<div class="note" id="mrs_01_1438__n13a1404a01ab4a3d95e468bfd5e4b66f"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1438__a7366672c52664ff8ad3e1b2969ef3222">Enter <strong id="mrs_01_1438__b41208033517">ESCAPECHAR</strong> in the CSV data. <strong id="mrs_01_1438__b71253017351">ESCAPECHAR</strong> must be enclosed in double quotation marks (" "). For example, "a\b".</p>
+</div></div>
+</li><li id="mrs_01_1438__lcf623574402c443e908646591898c2be"><a name="mrs_01_1438__lcf623574402c443e908646591898c2be"></a><a name="lcf623574402c443e908646591898c2be"></a>Bad records handling:<p id="mrs_01_1438__a036247a1cdc6431199b9472f70d43fe4"><a name="mrs_01_1438__lcf623574402c443e908646591898c2be"></a><a name="lcf623574402c443e908646591898c2be"></a>In order for the data processing application to provide benefits, certain data integration is required. In most cases, data quality problems are caused by data sources.</p>
+<p id="mrs_01_1438__a0aa57ee1418448febc5842b87e867f58">Methods of handling bad records are as follows:</p>
+<ul id="mrs_01_1438__ue49325eaebb84e4fa382191c116124f8"><li id="mrs_01_1438__l9bc44a395f3c4db69ef33c085d4f5df7">Load all of the data before dealing with the errors.</li><li id="mrs_01_1438__l0575e6a6753e4ed7a3159b1d22daf09a">Clean or delete bad records before loading data or stop the loading when bad records are found.</li></ul>
+<p id="mrs_01_1438__a666d8da39ca440f5a23269fb3ba83e8c">There are many options for clearing source data during CarbonData data loading, as listed in <a href="#mrs_01_1438__t1d4d77614e2b4b92b0f334d52702013b">Table 2</a>.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1438__t1d4d77614e2b4b92b0f334d52702013b"></a><a name="t1d4d77614e2b4b92b0f334d52702013b"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1438__t1d4d77614e2b4b92b0f334d52702013b" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Bad Records Logger</caption><thead align="left"><tr id="mrs_01_1438__rac375bc3beb141db8304227817190f32"><th align="left" class="cellrowborder" valign="top" width="33.33%" id="mcps1.3.4.3.6.5.2.4.1.1"><p id="mrs_01_1438__aa16c745781d349b78d30a9bb6bdfdd9a"><strong id="mrs_01_1438__b144520585392">Configuration Item</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="18.77%" id="mcps1.3.4.3.6.5.2.4.1.2"><p id="mrs_01_1438__a0b1eb379a90949f1a3b6596ce6267998"><strong id="mrs_01_1438__b44971799412">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="47.9%" id="mcps1.3.4.3.6.5.2.4.1.3"><p id="mrs_01_1438__a4d564d0654284f3bb1cbe5060b3ec559"><strong id="mrs_01_1438__b1630111018419">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1438__r94385d596ea24afb9de0c09d53536e3c"><td class="cellrowborder" valign="top" width="33.33%" headers="mcps1.3.4.3.6.5.2.4.1.1 "><p id="mrs_01_1438__a6b07e75ebea946f99dc998958034c7de">BAD_RECORDS_LOGGER_ENABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.77%" headers="mcps1.3.4.3.6.5.2.4.1.2 "><p id="mrs_01_1438__a396cd53d85964928991a68014fca76b7">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.9%" headers="mcps1.3.4.3.6.5.2.4.1.3 "><p id="mrs_01_1438__a7ce11a48c72248898b52e15a32e46759">Whether to create logs with details about bad records</p>
+</td>
+</tr>
+<tr id="mrs_01_1438__rf7cdfefabd8a44cc94d717c8344ac055"><td class="cellrowborder" valign="top" width="33.33%" headers="mcps1.3.4.3.6.5.2.4.1.1 "><p id="mrs_01_1438__a10ed784040b04a459811ab9f204afd00">BAD_RECORDS_ACTION</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.77%" headers="mcps1.3.4.3.6.5.2.4.1.2 "><p id="mrs_01_1438__a2b8095e81a1346f1b89e42e6c2cf1b6c">FAIL</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.9%" headers="mcps1.3.4.3.6.5.2.4.1.3 "><p id="mrs_01_1438__a740daad1a2fa4c7babf23354e4974b5b">The four types of actions for bad records are as follows:</p>
+<ul id="mrs_01_1438__u24927ebfb4aa4766b4c59048b36165d6"><li id="mrs_01_1438__l1b5f66b1f17e4ecbb0b41fec9bddede7"><strong id="mrs_01_1438__b138771837164111">FORCE</strong>: Auto-corrects the data by storing the bad records as NULL.</li><li id="mrs_01_1438__l268ae36c07d8479d9a52d0c2913236b1"><strong id="mrs_01_1438__b1062844194113">REDIRECT</strong>: Bad records are written to the raw CSV instead of being loaded.</li><li id="mrs_01_1438__lae6d364f7c6f4e1cba1940172bee671a"><strong id="mrs_01_1438__b74236487414">IGNORE</strong>: Bad records are neither loaded nor written to the raw CSV.</li><li id="mrs_01_1438__l4f5e85ac1ee7433ead84da06fef75f57"><strong id="mrs_01_1438__b19774115484110">FAIL</strong>: Data loading fails if any bad records are found.<div class="note" id="mrs_01_1438__n2bd09a5659d24631960c184c7256ffe9"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1438__ab2ca7ceebf5a4e9abfa75614362ccc57">In loaded data, if all records are bad records, <strong id="mrs_01_1438__b18719185816418">BAD_RECORDS_ACTION</strong> is invalid and the load operation fails.</p>
+</div></div>
+</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_1438__rf49f873c0aa044babb8650055198ae9d"><td class="cellrowborder" valign="top" width="33.33%" headers="mcps1.3.4.3.6.5.2.4.1.1 "><p id="mrs_01_1438__a150a2a72d9fc4831bdb925caaf5a29e4">IS_EMPTY_DATA_BAD_RECORD</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.77%" headers="mcps1.3.4.3.6.5.2.4.1.2 "><p id="mrs_01_1438__a6e2be65718414333a0fda67683210689">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.9%" headers="mcps1.3.4.3.6.5.2.4.1.3 "><p id="mrs_01_1438__a1ea1d0479de541968812b4a8d73a5049">Whether empty data of a column to be considered as bad record or not. If this parameter is set to <span class="parmvalue" id="mrs_01_1438__p81aaa3308ebe4d61ab8461b145120dd6"><b>false</b></span>, empty data ("",', or,) is not considered as bad records. If this parameter is set to <span class="parmvalue" id="mrs_01_1438__pf785bd5b98104bad9cd11e022e3241a9"><b>true</b></span>, empty data is considered as bad records.</p>
+</td>
+</tr>
+<tr id="mrs_01_1438__r5224c428d88047e9ac7fa3f05d9b90c7"><td class="cellrowborder" valign="top" width="33.33%" headers="mcps1.3.4.3.6.5.2.4.1.1 "><p id="mrs_01_1438__ae647235d37f14915b409ec611fb406ee">BAD_RECORD_PATH</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.77%" headers="mcps1.3.4.3.6.5.2.4.1.2 "><p id="mrs_01_1438__a4538aa2bab2c40eba646580cc80c9884">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.9%" headers="mcps1.3.4.3.6.5.2.4.1.3 "><p id="mrs_01_1438__a8636145688ca4d7282f6673a8c836f23">HDFS path where bad records are stored. The default value is <strong id="mrs_01_1438__b14588143074410">Null</strong>. If bad records logging or bad records operation redirection is enabled, the path must be configured by the user.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1438__a03294fe1527a4eb18dd2c352c5725a17">Example:</p>
+<p id="mrs_01_1438__a0018bb6b15f443359e9b0a7df5643245"><b><span class="cmdname" id="mrs_01_1438__cmdname1844319101612">LOAD DATA INPATH</span></b> <i><span class="varname" id="mrs_01_1438__ve4b0dc73413e49f285df227f4fe7c92c">'filepath.csv'</span></i> <b><span class="cmdname" id="mrs_01_1438__cmdname3529162510167">INTO TABLE</span></b> <i><span class="varname" id="mrs_01_1438__vdfcbf6ff74c94e488c0b2b1c762d5114">tablename</span></i> <i><span class="varname" id="mrs_01_1438__vc72b6aab30e54912ac034d2920b9dcf6">OPTIONS('BAD_RECORDS_LOGGER_ENABLE'='true',</span></i> <i><span class="varname" id="mrs_01_1438__v910d4197691c42e79ee55880aede57ae">'BAD_RECORD_PATH'='hdfs://hacluster/tmp/carbon', 'BAD_RECORDS_ACTION'='REDIRECT', 'IS_EMPTY_DATA_BAD_RECORD'='false');</span></i></p>
+<div class="note" id="mrs_01_1438__n47e1cd685d3a437b96975c19dd3bcc29"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1438__p15116191113137">If <span class="parmvalue" id="mrs_01_1438__p4ee20d99489548d69a651fd271d2f816"><b>REDIRECT</b></span> is used, CarbonData will add all bad records into a separate CSV file. However, this file must not be used for subsequent data loading because the content may not exactly match the source record. You must clean up the source record for further data ingestion. This option is used to remind you which records are bad.</p>
+</div></div>
+</li><li id="mrs_01_1438__l8296a25adbe14022911a386ff9fd594a"><strong id="mrs_01_1438__b1258073104517">MAXCOLUMNS</strong>: (Optional) Specifies the maximum number of columns parsed by a CSV parser in a line.<p id="mrs_01_1438__ae25db3c38ed1440a821a165e70aa692a"><i><span class="varname" id="mrs_01_1438__v3f7f559b0809404b906620f4843cc94e">OPTIONS('MAXCOLUMNS'='400')</span></i></p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1438__t0a937ca7248e4cd79e2c94c3327810e2" frame="border" border="1" rules="all"><caption><b>Table 3 </b>MAXCOLUMNS</caption><thead align="left"><tr id="mrs_01_1438__r760c0409a0854dd6b927cd0ab19f2629"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.4.3.7.3.2.4.1.1"><p id="mrs_01_1438__a9b6edd038cf047faa424b8f75e96c72a"><strong id="mrs_01_1438__b3787912154514">Name of the Optional Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.4.3.7.3.2.4.1.2"><p id="mrs_01_1438__a7750b41d467f476d9dec3c3c17be4b87"><strong id="mrs_01_1438__b7136171412457">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.4.3.7.3.2.4.1.3"><p id="mrs_01_1438__a82ea6a3abf7d4a0791943e46b75f5445"><strong id="mrs_01_1438__b19957101664511">Maximum Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1438__rba9bfdc6615445df90c4d0d9f3869a70"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.7.3.2.4.1.1 "><p id="mrs_01_1438__aee4463c3b6da4a2e874dcb238b1509d1">MAXCOLUMNS</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.7.3.2.4.1.2 "><p id="mrs_01_1438__a0290c5c0d57b4f7d9f315ff440392a9d">2000</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.7.3.2.4.1.3 "><p id="mrs_01_1438__aa900909704bd405d832c06a13121e2b1">20000</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1438__td0c56fed2a404209a82b6de6500b4f21" frame="border" border="1" rules="all"><caption><b>Table 4 </b>Behavior chart of MAXCOLUMNS</caption><thead align="left"><tr id="mrs_01_1438__rd2a2e38a985042fe85f5d2a8a6bc82e6"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.4.3.7.4.2.4.1.1"><p id="mrs_01_1438__a44cf44ddb597428a9239c573b9a2b4e7"><strong id="mrs_01_1438__b1663113153466">MAXCOLUMNS Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.4.3.7.4.2.4.1.2"><p id="mrs_01_1438__a2c1824a7da8048439d05ebd440ed022f"><strong id="mrs_01_1438__b145841219174610">Number of Columns in the File Header</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.4.3.7.4.2.4.1.3"><p id="mrs_01_1438__a23c7a27ba57f4a00a7cf7722b5177807"><strong id="mrs_01_1438__b12598223467">Final Value Considered</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1438__r517c5eff92a24bb38895408dfc4f064c"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.7.4.2.4.1.1 "><p id="mrs_01_1438__a30b00dffca24437398f092cff6cf7e1d">Not specified in Load options</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.7.4.2.4.1.2 "><p id="mrs_01_1438__a142800ade2ac473cb53aa908df6b2c07">5</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.7.4.2.4.1.3 "><p id="mrs_01_1438__a2431de0d60e64f96a505a31991b16f39">2000</p>
+</td>
+</tr>
+<tr id="mrs_01_1438__r4ff195434a7847e185208d61b46ff760"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.7.4.2.4.1.1 "><p id="mrs_01_1438__a0ca97ec98bc847deac0b7fc3db5a0777">Not specified in Load options</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.7.4.2.4.1.2 "><p id="mrs_01_1438__a722d03d860f44772b43e96bc42805ae7">6000</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.7.4.2.4.1.3 "><p id="mrs_01_1438__af417d1d7bf7c49dbb21fadd8f7305540">6000</p>
+</td>
+</tr>
+<tr id="mrs_01_1438__r79b6016fb92c463c9817109a5d08e136"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.7.4.2.4.1.1 "><p id="mrs_01_1438__a708fc2d4d7a94ebcaf896e409b140538">40</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.7.4.2.4.1.2 "><p id="mrs_01_1438__a8c5aeeb4d089493183dd0edd8bf8623d">7</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.7.4.2.4.1.3 "><p id="mrs_01_1438__ae31d0d139b944fbda9699ee278ddaee3">Max (column count of file header, MAXCOLUMNS value)</p>
+</td>
+</tr>
+<tr id="mrs_01_1438__r7e359a4b34f74fe787e495d301d8797c"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.7.4.2.4.1.1 "><p id="mrs_01_1438__aabd95f8d61df43c4b55687db18e6f68c">22000</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.7.4.2.4.1.2 "><p id="mrs_01_1438__a6a26db6aa6e54907bee756d3096c6fb0">40</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.7.4.2.4.1.3 "><p id="mrs_01_1438__aff6f2291795246999e4df4c7d6c4b39b">20000</p>
+</td>
+</tr>
+<tr id="mrs_01_1438__rfd7545f821904187b1af686873985e66"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.7.4.2.4.1.1 "><p id="mrs_01_1438__a4381ca0409e24402b6055e3b0b55768b">60</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.7.4.2.4.1.2 "><p id="mrs_01_1438__a2287e653f16949ecb4e6103eeaed2837">Not specified in Load options</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.3.7.4.2.4.1.3 "><p id="mrs_01_1438__a6c87edebe8b94e529961aa40f17fd9d7">Max (Number of columns in the first line of the CSV file, MAXCOLUMNS value)</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_1438__n95e15395894e4d8ca04e931a9d7fd14d"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1438__accffdca1aa094ba9b725fdbb424c3c30">There must be sufficient executor memory for setting the maximum value of <strong id="mrs_01_1438__b1632885819463">MAXCOLUMNS Option</strong>. Otherwise, data loading will fail.</p>
+</div></div>
+</li></ul>
+</div>
+<ul id="mrs_01_1438__ul139104862312"><li id="mrs_01_1438__li183964819232">If <strong id="mrs_01_1438__b169111255161311">SORT_SCOPE</strong> is set to <strong id="mrs_01_1438__b1391212556135">GLOBAL_SORT</strong> during table creation, you can specify the number of partitions to be used when sorting data. If this parameter is not set or is set to a value less than <strong id="mrs_01_1438__b52596527483">1</strong>, the number of map tasks is used as the number of reduce tasks. It is recommended that each reduce task process 512 MB to 1 GB data.<p id="mrs_01_1438__p1891140162311"><i><span class="varname" id="mrs_01_1438__varname12840142918247">OPTIONS('GLOBAL_SORT_PARTITIONS'='2')</span></i></p>
+<div class="note" id="mrs_01_1438__note26601516132617"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1438__p266141632612">To increase the number of partitions, you may need to increase the value of <span class="parmname" id="mrs_01_1438__parmname14601203518272"><b>spark.driver.maxResultSize</b></span>, as the sampling data collected in the driver increases with the number of partitions.</p>
+</div></div>
+</li></ul>
+<ul id="mrs_01_1438__ul143711032132211"><li id="mrs_01_1438__li1210618571271"><strong id="mrs_01_1438__b19794154195313">DATEFORMAT</strong>: Specifies the date format of the table.<p id="mrs_01_1438__p1611614374224"><i><span class="varname" id="mrs_01_1438__varname1377716391297">OPTIONS('DATEFORMAT'='dateFormat')</span></i></p>
+<div class="note" id="mrs_01_1438__note11118163716228"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1438__p38021112307">Date formats are specified by date pattern strings. The date pattern letters in Carbon are same as in JAVA.</p>
+</div></div>
+</li></ul>
+<ul id="mrs_01_1438__ul488613213316"><li id="mrs_01_1438__li1784218400311"><strong id="mrs_01_1438__b126911746205314">TIMESTAMPFORMAT</strong>: Specifies the timestamp of a table.</li><li id="mrs_01_1438__li128871032133118"><i><span class="varname" id="mrs_01_1438__varname1189143213119">OPTIONS('TIMESTAMPFORMAT'='timestampFormat')</span></i></li></ul>
+<ul id="mrs_01_1438__ul14322143713319"><li id="mrs_01_1438__li1230659113313"><strong id="mrs_01_1438__b15513555195711">SKIP_EMPTY_LINE</strong>: Ignores empty rows in the CSV file during data loading.<p id="mrs_01_1438__p9325143719317"><i><span class="varname" id="mrs_01_1438__varname12326437103113">OPTIONS('SKIP_EMPTY_LINE'='TRUE/FALSE')</span></i></p>
+</li><li id="mrs_01_1438__li2087413919372"><strong>Optional: </strong><strong id="mrs_01_1438__b193241658195710">SCALE_FACTOR</strong>: Used to control the number of partitions for <strong id="mrs_01_1438__b175331919515">RANGE_COLUMN</strong>, <strong id="mrs_01_1438__b135345125114">SCALE_FACTOR</strong>. The formula is as follows:<pre class="codeblock" id="mrs_01_1438__codeblock14859427161116">splitSize = max(blocklet_size, (block_size - blocklet_size)) * scale_factor
+numPartitions = total size of input data / splitSize</pre>
+<p id="mrs_01_1438__p83411939964">The default value is <strong id="mrs_01_1438__b5982535135120">3</strong>. The value ranges from <strong id="mrs_01_1438__b12988135155118">1</strong> to <strong id="mrs_01_1438__b209891035105111">300</strong>.</p>
+<p id="mrs_01_1438__p1531176151018"><i><span class="varname" id="mrs_01_1438__varname193217614103">OPTIONS('SCALE_FACTOR'='10')</span></i></p>
+<div class="note" id="mrs_01_1438__note13651637267"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1438__ul52441448101112"><li id="mrs_01_1438__li3245348141117">If <strong id="mrs_01_1438__b65940105114">GLOBAL_SORT_PARTITIONS</strong> and <strong id="mrs_01_1438__b151119405512">SCALE_FACTOR</strong> are used at the same time, only <strong id="mrs_01_1438__b71310408515">GLOBAL_SORT_PARTITIONS</strong> is valid.</li><li id="mrs_01_1438__li7419194501219">The compaction on <strong id="mrs_01_1438__b8572945105118">RANGE_COLUMN</strong> will use <strong id="mrs_01_1438__b75781451511">LOCAL_SORT</strong> by default.</li></ul>
+</div></div>
+</li></ul>
+<div class="section" id="mrs_01_1438__sf62f56a2f9df49a2b0e93cb0a76e5d90"><h4 class="sectiontitle">Scenarios</h4><p id="mrs_01_1438__a910c043ebc1a4404aeabd7e84c5f900d">To load a CSV file to a CarbonData table, run the following statement:</p>
+<p id="mrs_01_1438__a2aec6f7d6ca4474f9a2174ef6ba78e5d"><b><span class="cmdname" id="mrs_01_1438__cmdname825616384169">LOAD DATA</span></b> <i><span class="varname" id="mrs_01_1438__vb66652ff6ba947e49afee78c5da00a99">INPATH 'folder path' INTO TABLE tablename OPTIONS(property_name=property_value, ...);</span></i></p>
+</div>
+<div class="section" id="mrs_01_1438__s0cae638894c146bc8a2f719647701445"><h4 class="sectiontitle">Examples</h4><p id="mrs_01_1438__p19305327184316">The data in the <strong id="mrs_01_1438__b2042312447462">data.csv</strong> file is as follows:</p>
+<pre class="screen" id="mrs_01_1438__screen66949599437">ID,date,country,name,phonetype,serialname,salary
+4,2014-01-21 00:00:00,city1,aaa4,phone2435,ASD66902,15003
+5,2014-01-22 00:00:00,city1,aaa5,phone2441,ASD90633,15004
+6,2014-03-07 00:00:00,city1,aaa6,phone294,ASD59961,15005</pre>
+<p id="mrs_01_1438__p510951994412">CREATE TABLE carbontable(ID int, date Timestamp, country String, name String, phonetype String, serialname String,salary int) STORED AS carbondata;</p>
+<p id="mrs_01_1438__a777819584e1146b999ca58d4dc4f18a2"><b><span class="cmdname" id="mrs_01_1438__cmdname126231427162">LOAD DATA</span></b> <i><span class="varname" id="mrs_01_1438__v6adcca080d2e4be29e2be1e4d293f360">inpath 'hdfs://hacluster/tmp/data.csv' INTO table carbontable</span></i></p>
+<p id="mrs_01_1438__a5540be68735a4e9387435a10272b6440"><i><span class="varname" id="mrs_01_1438__v7295a9bcd2274969b37d3e795f137390">options('DELIMITER'=','</span></i><i><span class="varname" id="mrs_01_1438__v893432384991420f8d71bda79c680a4e">);</span></i></p>
+</div>
+<div class="section" id="mrs_01_1438__s4fbb207c33234984b0530e8ffe1609c3"><h4 class="sectiontitle">System Response</h4><p id="mrs_01_1438__a5f97b253cfc245c7bcb19802be0394ab">Success or failure will be recorded in the driver logs.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1437.html">DML</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1439.html b/docs/mrs/component-operation-guide/mrs_01_1439.html
new file mode 100644
index 000000000..0584de14c
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+++ b/docs/mrs/component-operation-guide/mrs_01_1439.html
@@ -0,0 +1,63 @@
+<a name="mrs_01_1439"></a><a name="mrs_01_1439"></a>
+
+<h1 class="topictitle1">UPDATE CARBON TABLE</h1>
+<div id="body1595920212821"><div class="section" id="mrs_01_1439__s56e6e636e92d4e25ba86171d168a0097"><h4 class="sectiontitle">Function</h4><p id="mrs_01_1439__a36526b302fb741da8affa982ede0120e">This command is used to update the CarbonData table based on the column expression and optional filtering conditions.</p>
+</div>
+<div class="section" id="mrs_01_1439__sc17acc5cdde24923afe02ad70c5af9a1"><h4 class="sectiontitle">Syntax</h4><ul id="mrs_01_1439__u53fee6cb19734e60b97687352a5b1f66"><li id="mrs_01_1439__l1c214f65d2194a2b865d5b10b4f14382">Syntax 1:<p id="mrs_01_1439__a200ede54202d40e89dda74cc700ff250"><a name="mrs_01_1439__l1c214f65d2194a2b865d5b10b4f14382"></a><a name="l1c214f65d2194a2b865d5b10b4f14382"></a><b><span class="cmdname" id="mrs_01_1439__cmdname5746349121615">UPDATE &lt;CARBON TABLE&gt; SET (column_name1, column_name2, ... column_name n) =  (column1_expression , column2_expression , column3_expression ... column n_expression ) [ WHERE { &lt;filter_condition&gt; } ];</span></b></p>
+</li><li id="mrs_01_1439__l0227115acbb24001b6eeea4df6be6a92">Syntax 2:<p id="mrs_01_1439__a3143892d19674a12b83e499eea8c0092"><a name="mrs_01_1439__l0227115acbb24001b6eeea4df6be6a92"></a><a name="l0227115acbb24001b6eeea4df6be6a92"></a><b><span class="cmdname" id="mrs_01_1439__cmdname20169353181610">UPDATE &lt;CARBON TABLE&gt; SET (column_name1, column_name2,) =  (select sourceColumn1, sourceColumn2 from sourceTable [ WHERE { &lt;filter_condition&gt; } ] ) [ WHERE { &lt;filter_condition&gt; } ];</span></b></p>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1439__s237e949a91f645afb133fa8ff1fb3a30"><h4 class="sectiontitle">Parameter Description</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1439__tbf6ea26f1d504556bc00eb71921b92b0" frame="border" border="1" rules="all"><caption><b>Table 1 </b>UPDATE parameters</caption><thead align="left"><tr id="mrs_01_1439__rddbab88c4e884027b074774928deec85"><th align="left" class="cellrowborder" valign="top" width="23.68%" id="mcps1.3.3.2.2.3.1.1"><p id="mrs_01_1439__abdf5d12b11d4467b97baafd3fcebca8a">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="76.32%" id="mcps1.3.3.2.2.3.1.2"><p id="mrs_01_1439__ab3ad580270924283937a10d484199525">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1439__r34842d652b5a49c59aca88bb0efdaaed"><td class="cellrowborder" valign="top" width="23.68%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1439__a415fa4ab88554922af1ee1285180ce94">CARBON TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="76.32%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1439__ac9347142ecb343fea4e8122e01b659b5">Name of the CarbonData table to be updated</p>
+</td>
+</tr>
+<tr id="mrs_01_1439__r0166cc86ce3746eaa8c8928e6c025dfa"><td class="cellrowborder" valign="top" width="23.68%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1439__a85891954f0a74d868c132592dbd9058c">column_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="76.32%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1439__a03ee028b6d254b31a7e4c55a25c89dd8">Target column to be updated</p>
+</td>
+</tr>
+<tr id="mrs_01_1439__r64bff89c5c8a4ae6892cb5a840fffb35"><td class="cellrowborder" valign="top" width="23.68%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1439__a4510eadd622d4c0a801314f75c488055">sourceColumn</p>
+</td>
+<td class="cellrowborder" valign="top" width="76.32%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1439__aa6bd0f68abfc4790b37d9f105798cb8c">Column value of the source table that needs to be updated in the target table</p>
+</td>
+</tr>
+<tr id="mrs_01_1439__rb8c1d302640a4adba6c2d6734fc67c64"><td class="cellrowborder" valign="top" width="23.68%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1439__ab1fb0c8c5f6e43b5b114c95c03c61d33">sourceTable</p>
+</td>
+<td class="cellrowborder" valign="top" width="76.32%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1439__ab1c5ec4aea1b4c27a7d82ad2c09dad28">Table from which the records are updated to the target table</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1439__sd4125e30a7ec4747a8c465bccd8549bf"><h4 class="sectiontitle">Precautions</h4><p id="mrs_01_1439__a895370cb5a824e3f83bfa038b2351754">Note the following before running this command:</p>
+<ul id="mrs_01_1439__u7975b5246fce4b358c07a07f4f05df19"><li id="mrs_01_1439__l1ac8d77fd63f42d3a30ae60c35b7f884">The UPDATE command fails if multiple input rows in the source table are matched with a single row in the target table.</li><li id="mrs_01_1439__lc6bede03d4cf4322add979e5525b27bd">If the source table generates empty records, the UPDATE operation completes without updating the table.</li><li id="mrs_01_1439__l227800111e174b4ca515dcc0f51fca55">If rows in the source table do not match any existing rows in the target table, the UPDATE operation completes without updating the table.</li><li id="mrs_01_1439__lcc21c98be172414aa35a5a671af6fc4a">UPDATE is not allowed in the table with secondary index.</li><li id="mrs_01_1439__l8e46bb3ea76f4773af297e69d76aa6be">In a subquery, if the source table and target table are the same, the UPDATE operation fails.</li><li id="mrs_01_1439__la3f79cd4337447e4b64e60dde2f03060">The UPDATE operation fails if the subquery used in the UPDATE command contains an aggregate function or a GROUP BY clause.<p id="mrs_01_1439__a126d3a1c4264495490601c25a212bbbe"><a name="mrs_01_1439__la3f79cd4337447e4b64e60dde2f03060"></a><a name="la3f79cd4337447e4b64e60dde2f03060"></a>For example, <b><span class="cmdname" id="mrs_01_1439__cmdname3162115931619">update t_carbn01 a set (a.item_type_code, a.profit) = ( select b.item_type_cd, sum(b.profit) from t_carbn01b b where item_type_cd =2 group by item_type_code);</span></b>.</p>
+<p id="mrs_01_1439__ac00cdaa8ab7f422fa087971bccb3a64f">In the preceding example, aggregate function <strong id="mrs_01_1439__b437911818517">sum(b.profit)</strong> and GROUP BY clause are used in the subquery. As a result, the UPDATE operation will fail.</p>
+</li><li id="mrs_01_1439__la1e70e489bb34f4ead7eb5cb020da9f7">If the <strong id="mrs_01_1439__b1613491617519">carbon.input.segments</strong> property has been set for the queried table, the UPDATE operation fails. To solve this problem, run the following statement before the query:<p id="mrs_01_1439__ae45994fbfe4745009e8c3106034a40ea">Syntax:</p>
+<p id="mrs_01_1439__a0dbd4892987442c99ded02e37f7701e5"><strong id="mrs_01_1439__a5d9cccf792ff4511a1f4bafedaf93932">SET carbon.input.segments. &lt;database_name&gt;. &lt;table_name&gt;=*</strong>;</p>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1439__sb848b6b6f29c4ca89355bd1310c46e8b"><h4 class="sectiontitle">Examples</h4><ul id="mrs_01_1439__u0312973023754beda1ab729c6a2d7c0e"><li id="mrs_01_1439__l4404b8acfc17475fb366d887b5089728">Example 1:<p id="mrs_01_1439__a50d2b792e29d4b378b534e7536188653"><a name="mrs_01_1439__l4404b8acfc17475fb366d887b5089728"></a><a name="l4404b8acfc17475fb366d887b5089728"></a><b><span class="cmdname" id="mrs_01_1439__cmdname14961238176">update carbonTable1 d set (d.column3,d.column5 ) = (select s.c33 ,s.c55 from sourceTable1 s where d.column1 = s.c11) where d.column1 = 'country' exists( select * from table3 o where o.c2 &gt; 1);</span></b></p>
+</li><li id="mrs_01_1439__l50a92da8bcff45e69d94acd5f91a93b5">Example 2:<p id="mrs_01_1439__a5bdc1baa429e4d888e316d36f974b849"><a name="mrs_01_1439__l50a92da8bcff45e69d94acd5f91a93b5"></a><a name="l50a92da8bcff45e69d94acd5f91a93b5"></a><b><span class="cmdname" id="mrs_01_1439__cmdname127112612175">update carbonTable1 d set (c3) = (select s.c33 from sourceTable1 s where d.column1 = s.c11) where exists( select * from iud.other o where o.c2 &gt; 1);</span></b></p>
+</li><li id="mrs_01_1439__lb3a9b663caad497f866669c8a098ef98">Example 3:<p id="mrs_01_1439__ab68106f0d77f48f3a1a3c30cdba6c22a"><a name="mrs_01_1439__lb3a9b663caad497f866669c8a098ef98"></a><a name="lb3a9b663caad497f866669c8a098ef98"></a><b><span class="cmdname" id="mrs_01_1439__cmdname19245171131718">update carbonTable1 set (c2, c5 ) = (c2 + 1, concat(c5 , "y" ));</span></b></p>
+</li><li id="mrs_01_1439__l5f3aa3f45e5b4b28923863de0ee4fbdd">Example 4:<p id="mrs_01_1439__ae9734985b099486aa5701c635f64cc77"><a name="mrs_01_1439__l5f3aa3f45e5b4b28923863de0ee4fbdd"></a><a name="l5f3aa3f45e5b4b28923863de0ee4fbdd"></a><b><span class="cmdname" id="mrs_01_1439__cmdname157348141174">update carbonTable1 d set (c2, c5 ) = (c2 + 1, "xyx") where d.column1 = 'india';</span></b></p>
+</li><li id="mrs_01_1439__l67a9394328f944078c433cfae443b9e6">Example 5:<p id="mrs_01_1439__a06583a4f329d4d778b56cc17cf878697"><a name="mrs_01_1439__l67a9394328f944078c433cfae443b9e6"></a><a name="l67a9394328f944078c433cfae443b9e6"></a><b><span class="cmdname" id="mrs_01_1439__cmdname1693151819171">update carbonTable1 d set (c2, c5 ) = (c2 + 1, "xyx") where d.column1 = 'india' and exists( select * from table3 o where o.column2 &gt; 1);</span></b></p>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1439__s49b19580d9be445b92aafa75822ad7a2"><h4 class="sectiontitle">System Response</h4><p id="mrs_01_1439__a14f5dd2a5132480991d1f4c428544d79">Success or failure will be recorded in the driver log and on the client.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1437.html">DML</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1440.html b/docs/mrs/component-operation-guide/mrs_01_1440.html
new file mode 100644
index 000000000..00f3de439
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1440.html
@@ -0,0 +1,44 @@
+<a name="mrs_01_1440"></a><a name="mrs_01_1440"></a>
+
+<h1 class="topictitle1">DELETE RECORDS from CARBON TABLE</h1>
+<div id="body1595920213048"><div class="section" id="mrs_01_1440__se3b246829d4149768297e4d1c472eeab"><h4 class="sectiontitle">Function</h4><p id="mrs_01_1440__a8adcf45335aa490b90f435984dbe1cbe">This command is used to delete records from a CarbonData table.</p>
+</div>
+<div class="section" id="mrs_01_1440__s1671eb7942fc4963bdf01350bb3fa47f"><h4 class="sectiontitle">Syntax</h4><p id="mrs_01_1440__a499f126051a649fd81f89aafebdb658e"><b><span class="cmdname" id="mrs_01_1440__cmdname7202142791718">DELETE FROM CARBON_TABLE [WHERE expression];</span></b></p>
+</div>
+<div class="section" id="mrs_01_1440__se8c89a51ff704cbf8568c24dab46efb1"><h4 class="sectiontitle">Parameter Description</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1440__t4fe72c117c47406da504174f64aa1549" frame="border" border="1" rules="all"><caption><b>Table 1 </b>DELETE RECORDS parameters</caption><thead align="left"><tr id="mrs_01_1440__r88ce278ab29947e9a817bb019e1322ef"><th align="left" class="cellrowborder" valign="top" width="23.68%" id="mcps1.3.3.2.2.3.1.1"><p id="mrs_01_1440__a16956298285c4692affaac5242b12032">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="76.32%" id="mcps1.3.3.2.2.3.1.2"><p id="mrs_01_1440__aaab8b5e3259f49988eabaa067b4aae3a">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1440__r5bb5a24bf8e5448e8ff37c26fe720684"><td class="cellrowborder" valign="top" width="23.68%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1440__a704fefb2f0924b5aa5fe933b5dedadd5">CARBON TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="76.32%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1440__a45f6c012ef244869bc9073b46cbeb907">Name of the CarbonData table in which the DELETE operation is performed</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1440__sb57a6f45983745bc9d90e11c1dffc7d8"><h4 class="sectiontitle">Precautions</h4><ul id="mrs_01_1440__u86ff5ab10920453285c221e5b39f246d"><li id="mrs_01_1440__l93201527eb4b48ebb682d07e823a670c">If a segment is deleted, all secondary indexes associated with the segment are deleted as well.</li><li id="mrs_01_1440__l6760c8cea4034f99882d5078ab51fb86">If the <strong id="mrs_01_1440__b17811438135">carbon.input.segments</strong> property has been set for the queried table, the DELETE operation fails. To solve this problem, run the following statement before the query:<p id="mrs_01_1440__a54328eceada74c2797e53b16effcc60f">Syntax:</p>
+<p id="mrs_01_1440__a90f1d66a1ea94058a71a5df8b888f560"><strong id="mrs_01_1440__a6b930c65b4494e4ca04671b65c565021">SET carbon.input.segments. &lt;database_name&gt;.&lt;table_name&gt;=*;</strong></p>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1440__sf2d9a80e0de7460491ccd7ee39a7aa01"><h4 class="sectiontitle">Examples</h4><ul id="mrs_01_1440__ufb19c81351334a25b726a85292cb3e40"><li id="mrs_01_1440__lc13110809af04b36ad53274a35007628">Example 1:<p id="mrs_01_1440__a90f3f98406b9401ead42bf0ce076a508"><a name="mrs_01_1440__lc13110809af04b36ad53274a35007628"></a><a name="lc13110809af04b36ad53274a35007628"></a><b><span class="cmdname" id="mrs_01_1440__cmdname628713210174">delete from columncarbonTable1 d where d.column1 = 'country';</span></b></p>
+</li><li id="mrs_01_1440__l154f85221d0b4004ac9615e9cfe2bcf9">Example 2:<p id="mrs_01_1440__a780d2c03c3a3498080276d006f89b9f9"><a name="mrs_01_1440__l154f85221d0b4004ac9615e9cfe2bcf9"></a><a name="l154f85221d0b4004ac9615e9cfe2bcf9"></a><b><span class="cmdname" id="mrs_01_1440__cmdname542193771718">delete from dest where column1 IN ('country1', 'country2');</span></b></p>
+</li><li id="mrs_01_1440__lf7278378393f48cc952a2f478817151c">Example 3:<p id="mrs_01_1440__af0f3fa5d9cd5448494594b4b9bcd4298"><a name="mrs_01_1440__lf7278378393f48cc952a2f478817151c"></a><a name="lf7278378393f48cc952a2f478817151c"></a><b><span class="cmdname" id="mrs_01_1440__cmdname10946114016176">delete from columncarbonTable1 where column1 IN (select column11 from sourceTable2);</span></b></p>
+</li><li id="mrs_01_1440__leee0e228547d4f3f82b4857d4f669e84">Example 4:<p id="mrs_01_1440__a8235fd6f06a54b9fb04f9f319aabba58"><a name="mrs_01_1440__leee0e228547d4f3f82b4857d4f669e84"></a><a name="leee0e228547d4f3f82b4857d4f669e84"></a><b><span class="cmdname" id="mrs_01_1440__cmdname10513154431718">delete from columncarbonTable1 where column1 IN (select column11 from sourceTable2 where column1 = 'USA');</span></b></p>
+</li><li id="mrs_01_1440__l8025e9664b134c37904731a9e45ce108">Example 5:<p id="mrs_01_1440__ab98fc407691948b5aa9b4d0186429b71"><a name="mrs_01_1440__l8025e9664b134c37904731a9e45ce108"></a><a name="l8025e9664b134c37904731a9e45ce108"></a><b><span class="cmdname" id="mrs_01_1440__cmdname14170482178">delete from columncarbonTable1 where column2 &gt;= 4;</span></b></p>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1440__s823f2687a8cc4162854ad8fcaa12a93a"><h4 class="sectiontitle">System Response</h4><p id="mrs_01_1440__a19642f6cad0c4884a78f569abd795022">Success or failure will be recorded in the driver log and on the client.</p>
+</div>
+<p id="mrs_01_1440__abe3264df16d9476099937bdfb639d8f0"></p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1437.html">DML</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1441.html b/docs/mrs/component-operation-guide/mrs_01_1441.html
new file mode 100644
index 000000000..1f00515ad
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1441.html
@@ -0,0 +1,49 @@
+<a name="mrs_01_1441"></a><a name="mrs_01_1441"></a>
+
+<h1 class="topictitle1">INSERT INTO CARBON TABLE</h1>
+<div id="body1595920213284"><div class="section" id="mrs_01_1441__s3635a0acb90b4993bd3ec49d72d184b2"><h4 class="sectiontitle">Function</h4><p id="mrs_01_1441__a7c198bf2c3ac40b08c49397d79368b0e">This command is used to add the output of the SELECT command to a Carbon table.</p>
+</div>
+<div class="section" id="mrs_01_1441__s98d94c476c89464283380c169a39c3db"><h4 class="sectiontitle">Syntax</h4><p id="mrs_01_1441__a04c70312121e425d972d400525860f0b"><b><span class="cmdname" id="mrs_01_1441__cmdname7702135371710">INSERT INTO [CARBON TABLE] [select query]</span></b>;</p>
+</div>
+<div class="section" id="mrs_01_1441__sbe8fcdf864854703a0baa12e58c48821"><h4 class="sectiontitle">Parameter Description</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1441__t5be4c9a0e84a470c83ccef495498b366" frame="border" border="1" rules="all"><caption><b>Table 1 </b>INSERT INTO parameters</caption><thead align="left"><tr id="mrs_01_1441__r64ddb93f079344a8b87ad9ed751070ea"><th align="left" class="cellrowborder" valign="top" width="23.68%" id="mcps1.3.3.2.2.3.1.1"><p id="mrs_01_1441__aea60f327d33f4b879bb9a6f9526f4be9"><strong id="mrs_01_1441__b115152011115419">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="76.32%" id="mcps1.3.3.2.2.3.1.2"><p id="mrs_01_1441__aef70568549f840e59d0ff2e8888670e3"><strong id="mrs_01_1441__b14876151212540">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1441__rc8314c90829b48509b421a7f14c2f54b"><td class="cellrowborder" valign="top" width="23.68%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1441__a234e6b2a720445778d4b07df52d737cd">CARBON TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="76.32%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1441__a7ef19cdd66af46f0bee9be1785d45d61">Name of the CarbonData table to be inserted</p>
+</td>
+</tr>
+<tr id="mrs_01_1441__r63d4d2ba87054461a5ed6e7e7a35ea93"><td class="cellrowborder" valign="top" width="23.68%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1441__afa6af8dbad144471a00645e139a6d203">select query</p>
+</td>
+<td class="cellrowborder" valign="top" width="76.32%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1441__af0b7e6dfb2b94576840eaf41dfa3bc8e">SELECT query on the source table (CarbonData, Hive, and Parquet tables are supported)</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1441__s6025d975533d475d8af0cfa213d22c18"><h4 class="sectiontitle">Precautions</h4><ul id="mrs_01_1441__u9ef5cd8074bb4d5aa999ddd3e6c5e76e"><li id="mrs_01_1441__la4acf75df3ac4d0599dc607651641f21">A table has been created.</li><li id="mrs_01_1441__l21ff843cee064c829db3389cd4e3f121">You must belong to the data loading group in order to perform data loading operations. By default, the data loading group is named <span class="parmname" id="mrs_01_1441__p15d0b5e5b8bb469cb593c0231c4ea4da"><b>ficommon</b></span>.</li><li id="mrs_01_1441__lef49913a6a844580975b2510477c0b59">CarbonData tables cannot be overwritten.</li><li id="mrs_01_1441__lcaae8960743149e893a46a81bce7f10a">The data type of the source table and the target table must be the same. Otherwise, data in the source table will be regarded as bad records.</li><li id="mrs_01_1441__la2b4aeb3e90c4860a5976b2fe78f8a8d">The <b><span class="cmdname" id="mrs_01_1441__cmdname13779192132914">INSERT INTO</span></b> command does not support partial success. If bad records exist, the command fails.</li><li id="mrs_01_1441__l4b15368df97f4466a54b2612d760e3e2">When you insert data of the source table to the target table, you cannot upload or update data of the source table.<p id="mrs_01_1441__a52e4e7c073de4c5e854ddae5a38febcb"><a name="mrs_01_1441__l4b15368df97f4466a54b2612d760e3e2"></a><a name="l4b15368df97f4466a54b2612d760e3e2"></a>To enable data loading or updating during the INSERT operation, set the following parameter to <span class="parmvalue" id="mrs_01_1441__p8d95f10fd83b42dbbfe245a72df51c4f"><b>true</b></span>.</p>
+<p id="mrs_01_1441__af51452500bbd4baea63edab07c7973b1"><span class="parmname" id="mrs_01_1441__p7fab2bcb461c4444b857dc4b048e2682"><b>carbon.insert.persist.enable</b></span>=<span class="parmvalue" id="mrs_01_1441__pb2efaf56748b470ca9787576c841fcc7"><b>true</b></span></p>
+<p id="mrs_01_1441__a1772d279bd694670b52daccb72ac48d3">By default, the preceding parameters are set to <span class="parmvalue" id="mrs_01_1441__pa0f77f28c6ef4e5b8c15d4f8a4cc1c7c"><b>false</b></span>.</p>
+<div class="note" id="mrs_01_1441__n352a3aea389a446bb9ac04149a6054fc"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1441__a4f86b614984e4f5fb3e805802f9c4fae">Enabling this property will reduce the performance of the INSERT operation.</p>
+</div></div>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1441__s5774072650ef43f4acf8b5bf8a6b75ea"><h4 class="sectiontitle">Example</h4><p id="mrs_01_1441__p17635116101911"><strong id="mrs_01_1441__b8842925101917">create table </strong><strong id="mrs_01_1441__b1328216508250">carbon01(a int,b string,c string) stored as carbondata;</strong></p>
+<p id="mrs_01_1441__p10635191661917"><strong id="mrs_01_1441__b19573449162512">insert into table </strong><strong id="mrs_01_1441__b7283165017254">carbon01 values(1,'a','aa'),(2,'b','bb'),(3,'c','cc');</strong></p>
+<p id="mrs_01_1441__p206350164194"><strong id="mrs_01_1441__b18574104916252">create table </strong><strong id="mrs_01_1441__b028315002515">carbon02(a int,b string,c string) stored as carbondata;</strong></p>
+<p id="mrs_01_1441__p186351216181916"><strong id="mrs_01_1441__b12576349122514">INSERT INTO </strong><strong id="mrs_01_1441__b9284195010252">carbon02 select * from carbon01 where a &gt; 1;</strong></p>
+</div>
+<div class="section" id="mrs_01_1441__s089e7b6ebc3a401c93534dbe58a8ed83"><h4 class="sectiontitle">System Response</h4><p id="mrs_01_1441__abfe2a72f74b942ae8a2f3a2a73926ff7">Success or failure will be recorded in the driver logs.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1437.html">DML</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1442.html b/docs/mrs/component-operation-guide/mrs_01_1442.html
new file mode 100644
index 000000000..dacbda87b
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1442.html
@@ -0,0 +1,47 @@
+<a name="mrs_01_1442"></a><a name="mrs_01_1442"></a>
+
+<h1 class="topictitle1">DELETE SEGMENT by ID</h1>
+<div id="body1595920213530"><div class="section" id="mrs_01_1442__sa2eea92ab3b74e91b1bfff2187e1c6bf"><h4 class="sectiontitle">Function</h4><p id="mrs_01_1442__a9d3bf7131d56450ea75c95f0a9480f35">This command is used to delete segments by the ID.</p>
+</div>
+<div class="section" id="mrs_01_1442__s54f395fda42343c9bc7e39f152d8ce91"><h4 class="sectiontitle">Syntax</h4><p id="mrs_01_1442__a2a0f14e700e2430b969c269cad26f58c"><b><span class="cmdname" id="mrs_01_1442__cmdname1532825319234">DELETE FROM TABLE db_name.table_name WHERE SEGMENT.ID IN (segment_id1,segment_id2)</span></b>;</p>
+</div>
+<div class="section" id="mrs_01_1442__sbfdf7599e5584c30862640b5c9720643"><h4 class="sectiontitle">Parameter Description</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1442__t4340a0ebbc7248d49400559a852ff711" frame="border" border="1" rules="all"><caption><b>Table 1 </b>DELETE SEGMENT parameters</caption><thead align="left"><tr id="mrs_01_1442__r6ff8e1a3956741508581975582403b21"><th align="left" class="cellrowborder" valign="top" width="22.689999999999998%" id="mcps1.3.3.2.2.3.1.1"><p id="mrs_01_1442__a1078f6ec9cf34b0db5b47e32ab879714">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="77.31%" id="mcps1.3.3.2.2.3.1.2"><p id="mrs_01_1442__acbe46499e3ae4de5b13de061a3548301">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1442__r9742f6c6aab844e08990904eaefa4c43"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1442__af3bd5aec7be545ca981639a4fa8b93f1">segment_id</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.31%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1442__ae5e4802f202945c7af2196337a2406cc">ID of the segment to be deleted.</p>
+</td>
+</tr>
+<tr id="mrs_01_1442__r5a3971d487c148f89d3fcf65a5842ed4"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1442__a5c6a441b935848a59938a083f35da155">db_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.31%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1442__a283bd3a21a5240419c70649b9c357bc2">Database name. If the parameter is not specified, the current database is used.</p>
+</td>
+</tr>
+<tr id="mrs_01_1442__rf4c771d4aabc4b20968c1d60408c9631"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1442__aec92163259c841dfb49535d7047a670d">table_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.31%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1442__a0da710bad9474ddb8f5da5a1e748b4ea">The name of the table in a specific database.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1442__s54e960e45b2e46cd94689539705aa4d8"><h4 class="sectiontitle">Usage Guidelines</h4><p id="mrs_01_1442__a6cd1ba1e883f4e89aad661a11818e4a3">Segments cannot be deleted from the stream table.</p>
+</div>
+<div class="section" id="mrs_01_1442__s819ce3cb598a477cbc30d95511dd2329"><h4 class="sectiontitle">Examples</h4><p id="mrs_01_1442__a9c5f6dd159004392bb2d0279510c5043"><b><span class="cmdname" id="mrs_01_1442__cmdname761555722318">DELETE FROM TABLE CarbonDatabase.CarbonTable WHERE SEGMENT.ID IN (0)</span></b>;</p>
+<p id="mrs_01_1442__a2eabc345f5914d238babf9b7aff61b12"><b><span class="cmdname" id="mrs_01_1442__cmdname1527610210241">DELETE FROM TABLE CarbonDatabase.CarbonTable WHERE SEGMENT.ID IN (0,5,8)</span></b>;</p>
+</div>
+<div class="section" id="mrs_01_1442__s3030459f056641afa060738cc4a2ab76"><h4 class="sectiontitle">System Response</h4><p id="mrs_01_1442__a84ed2d8d52d0494ab216df69854db228">Success or failure will be recorded in the CarbonData log.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1437.html">DML</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1443.html b/docs/mrs/component-operation-guide/mrs_01_1443.html
new file mode 100644
index 000000000..8ca9c0d61
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1443.html
@@ -0,0 +1,47 @@
+<a name="mrs_01_1443"></a><a name="mrs_01_1443"></a>
+
+<h1 class="topictitle1">DELETE SEGMENT by DATE</h1>
+<div id="body1595920213768"><div class="section" id="mrs_01_1443__s4ce0bc506f3c4e30bb308eaf985dcd3a"><h4 class="sectiontitle">Function</h4><p id="mrs_01_1443__a106901fcdc9c4b7582ae70159a230df8">This command is used to delete segments by loading date. Segments created before a specific date will be deleted.</p>
+</div>
+<div class="section" id="mrs_01_1443__s4e8c402d35484d91820439a19c72b613"><h4 class="sectiontitle">Syntax</h4><p id="mrs_01_1443__a96c8f19b10d940b497ad72ae64826c73"><b><span class="cmdname" id="mrs_01_1443__cmdname109099149292">DELETE FROM TABLE db_name.table_name WHERE SEGMENT.STARTTIME BEFORE date_value</span></b>;</p>
+</div>
+<div class="section" id="mrs_01_1443__sdc86ff9a798241b7a8df7d2ec6841410"><h4 class="sectiontitle">Parameter Description</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1443__t318a052a52994a5dabf66dbe35dd805e" frame="border" border="1" rules="all"><caption><b>Table 1 </b>DELETE SEGMENT by DATE parameters</caption><thead align="left"><tr id="mrs_01_1443__rae00f493cd0c4441acb741e0f5989d7a"><th align="left" class="cellrowborder" valign="top" width="22.74%" id="mcps1.3.3.2.2.3.1.1"><p id="mrs_01_1443__a527119c14e08441a8253f221d7389cba"><strong id="mrs_01_1443__b1962915348562">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="77.25999999999999%" id="mcps1.3.3.2.2.3.1.2"><p id="mrs_01_1443__ac67824c8755c4cc28775ca46e9d02d23"><strong id="mrs_01_1443__b75341135155619">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1443__r20b40195629e439ea88a0b7eba469974"><td class="cellrowborder" valign="top" width="22.74%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1443__ade8d4a64371148e79f6d6c669682b12c">db_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.25999999999999%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1443__a52d04230918d47868f6aea77c78e523a">Database name. If this parameter is not specified, the current database is used.</p>
+</td>
+</tr>
+<tr id="mrs_01_1443__r02e7f344bcb4461e82fb964489e27198"><td class="cellrowborder" valign="top" width="22.74%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1443__a208e932e37e5419888410bdcd04a1247">table_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.25999999999999%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1443__ae993ad262f304d5b88c1b3b005121066">Name of a table in the specified database</p>
+</td>
+</tr>
+<tr id="mrs_01_1443__r2f4ef28f688148bea8ddb237e3a4208d"><td class="cellrowborder" valign="top" width="22.74%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1443__a4046b3ac0d2a452e8b6b455faf0e43d9">date_value</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.25999999999999%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1443__a2afb184c18da4372996b710dc75cb65c">Valid date when segments are started to be loaded. Segments before the date will be deleted.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1443__sefbf7ad00d4641ea89a87ad507e7788d"><h4 class="sectiontitle">Precautions</h4><p id="mrs_01_1443__aa8cb2cb725b44749af037b3da89a4f0e">Segments cannot be deleted from the stream table.</p>
+</div>
+<div class="section" id="mrs_01_1443__sc2142baeff6d459b99474728f53795b6"><h4 class="sectiontitle">Example</h4><p id="mrs_01_1443__af134a9e6e04c4d9f8c58d2365eadd712"><b><span class="cmdname" id="mrs_01_1443__cmdname1698454514189">DELETE FROM TABLE db_name.table_name WHERE SEGMENT.STARTTIME BEFORE '2017-07-01 12:07:20'</span></b>;</p>
+<p id="mrs_01_1443__a0353b6b34e324f72a2b4f9920d8b5401"><strong id="mrs_01_1443__b7856165916566">STARTTIME</strong> indicates the loading start time of different loads.</p>
+</div>
+<div class="section" id="mrs_01_1443__s5284317f91c74430a5a3ca82bdcc1d13"><h4 class="sectiontitle">System Response</h4><p id="mrs_01_1443__a4e0c8add1ab44a7ea082ad45e6192d0c">Success or failure will be recorded in CarbonData logs.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1437.html">DML</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1444.html b/docs/mrs/component-operation-guide/mrs_01_1444.html
new file mode 100644
index 000000000..6cbc827fa
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1444.html
@@ -0,0 +1,55 @@
+<a name="mrs_01_1444"></a><a name="mrs_01_1444"></a>
+
+<h1 class="topictitle1">SHOW SEGMENTS</h1>
+<div id="body1595920214005"><div class="section" id="mrs_01_1444__s8de7d3f8eabe4b0b93461ee4793df6c2"><h4 class="sectiontitle">Function</h4><p id="mrs_01_1444__a7396b9cee84b476287a67429ce4e123d">This command is used to list the segments of a CarbonData table.</p>
+</div>
+<div class="section" id="mrs_01_1444__s4784a60e7ec64c8f872d46f57ed8d584"><h4 class="sectiontitle">Syntax</h4><p id="mrs_01_1444__a47349fc12d3441f69c3115a655d103a1"><b><span class="cmdname" id="mrs_01_1444__cmdname153545318189">SHOW SEGMENTS FOR TABLE</span></b> <i><span class="varname" id="mrs_01_1444__v58c39f6da36e44428425613945ebe6bd">[db_name.]table_name</span></i> <b><span class="cmdname" id="mrs_01_1444__cmdname1141875715185">LIMIT</span></b> <i><span class="varname" id="mrs_01_1444__v6643f31f97bb4bc29eec4dd98e9a14c1">number_of_loads;</span></i></p>
+</div>
+<div class="section" id="mrs_01_1444__sedb6bc1c7b484d93bd9ab3af7319951d"><h4 class="sectiontitle">Parameter Description</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1444__ta09fa7014dab429593ebb96e0ae17b31" frame="border" border="1" rules="all"><caption><b>Table 1 </b>SHOW SEGMENTS FOR TABLE parameters</caption><thead align="left"><tr id="mrs_01_1444__rab8046d7b94f4d36a768682a361b7161"><th align="left" class="cellrowborder" valign="top" width="26.51%" id="mcps1.3.3.2.2.3.1.1"><p id="mrs_01_1444__ad3ee3856a0a84d4695d23f759685b3a7"><strong id="mrs_01_1444__aa8d8a6c5b6914d33b531d4dd948eaf4a">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="73.49%" id="mcps1.3.3.2.2.3.1.2"><p id="mrs_01_1444__a64697018ded9494db311af39d51188b2"><strong id="mrs_01_1444__a156fa3a77c9c418a9c82d271bc81434b">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1444__r88aa8294f49c4fd9aabe093b8981e596"><td class="cellrowborder" valign="top" width="26.51%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1444__a2ebb7df638754ada8c6a68f3ae17cfb3">db_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.49%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1444__afd720ec8d9b44e11a079a9ae44088d72">Database name. If this parameter is not specified, the current database is used.</p>
+</td>
+</tr>
+<tr id="mrs_01_1444__r00766911af5f433c9c4ac7ecd51aca7d"><td class="cellrowborder" valign="top" width="26.51%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1444__a402498c6608e4fb8a34f29b32085c768">table_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.49%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1444__ab2b541a054dc4cb58d5c206a3da43b9d">Name of a table in the specified database</p>
+</td>
+</tr>
+<tr id="mrs_01_1444__r3824a8ac1394437183a5894f7567ff8b"><td class="cellrowborder" valign="top" width="26.51%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1444__aef445e00e9144e82b981ba59a4383133">number_of_loads</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.49%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1444__a7f589625df1c424d9cfe93d17c0ea77c">Threshold of records to be listed</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1444__s9b7cbbdb9a4f4be7a4b289cf97d3b0a4"><h4 class="sectiontitle">Precautions</h4><p id="mrs_01_1444__ace71bf770b5d49ac8e05d7d8f5f12462">None</p>
+</div>
+<div class="section" id="mrs_01_1444__s40cc40bf8c944c69854c994532f6ef57"><h4 class="sectiontitle">Examples</h4><p id="mrs_01_1444__p15764562010"><strong id="mrs_01_1444__b10636141818204">create table </strong><strong id="mrs_01_1444__b16741193611259">carbon01(a int,b string,c string) stored as carbondata;</strong></p>
+<p id="mrs_01_1444__p857515192013"><strong id="mrs_01_1444__b1563573542519">i</strong><strong id="mrs_01_1444__b26367351254">nsert into </strong><strong id="mrs_01_1444__b106361935102513">table</strong><strong id="mrs_01_1444__b5742236162518"> carbon01 select 1,'a','aa';</strong></p>
+<p id="mrs_01_1444__p205756512204"><strong id="mrs_01_1444__b14638153511257">insert into table </strong><strong id="mrs_01_1444__b17743133613257">carbon01 select 2,'b','bb';</strong></p>
+<p id="mrs_01_1444__p9575125182013"><strong id="mrs_01_1444__b96392350252">insert into table</strong><strong id="mrs_01_1444__b16744143622519"> carbon01 select 3,'c','cc';</strong></p>
+<p id="mrs_01_1444__p165751856209"><strong id="mrs_01_1444__b464133510255">SHOW SEGMENTS FOR TABLE </strong><strong id="mrs_01_1444__b874523652514">carbon01 </strong><strong id="mrs_01_1444__b664153514253">LIMIT</strong><strong id="mrs_01_1444__b18745173612518"> 2;</strong></p>
+</div>
+<div class="section" id="mrs_01_1444__s20ee73a8f7b549d39358c7f89c46e13b"><h4 class="sectiontitle">System Response</h4><pre class="screen" id="mrs_01_1444__screen3283537111114">+-----+----------+--------------------------+------------------+------------+------------+-------------+--------------+--+
+| ID  |  Status  |     Load Start Time      | Load Time Taken  | Partition  | Data Size  | Index Size  | File Format  |
++-----+----------+--------------------------+------------------+------------+------------+-------------+--------------+--+
+| 3   | Success  | 2020-09-28 22:53:26.336  | 3.726S           | {}         | 6.47KB     | 3.30KB      | columnar_v3  |
+| 2   | Success  | 2020-09-28 22:53:01.702  | 6.688S           | {}         | 6.47KB     | 3.30KB      | columnar_v3  |
++-----+----------+--------------------------+------------------+------------+------------+-------------+--------------+--+</pre>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1437.html">DML</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1445.html b/docs/mrs/component-operation-guide/mrs_01_1445.html
new file mode 100644
index 000000000..a61122c1f
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1445.html
@@ -0,0 +1,61 @@
+<a name="mrs_01_1445"></a><a name="mrs_01_1445"></a>
+
+<h1 class="topictitle1">CREATE SECONDARY INDEX</h1>
+<div id="body1595920214232"><div class="section" id="mrs_01_1445__sb8fd7fc95bb045a182a5198f84fd52e9"><h4 class="sectiontitle">Function</h4><p id="mrs_01_1445__a3918b03f1e7d4be59252f6676cea36e0">This command is used to create secondary indexes in the CarbonData tables.</p>
+</div>
+<div class="section" id="mrs_01_1445__sd2c2b6d9c1504b5487d4d9abb94ba7b2"><h4 class="sectiontitle">Syntax</h4><p id="mrs_01_1445__a4b4c27b093854632b507698a82ed541a"><b><span class="cmdname" id="mrs_01_1445__cmdname129321912131912">CREATE INDEX</span></b> <i><span class="varname" id="mrs_01_1445__vb8e3cb7c037340b1a03638e7cd1617b1">index_name</span></i></p>
+<p id="mrs_01_1445__a10a0d4a55a744d599353e32f58b1e335"><b><span class="cmdname" id="mrs_01_1445__cmdname477111911910">ON TABLE</span></b> <i><span class="varname" id="mrs_01_1445__v1b8a1a32c5a64c868c253974de32ce27">[db_name.]table_name (col_name1, col_name2)</span></i></p>
+<p id="mrs_01_1445__adf7f1fc91d2c4ce39fa69d7a31a12c2c"><b><span class="cmdname" id="mrs_01_1445__cmdname1671162351914">AS</span></b> <i><span class="varname" id="mrs_01_1445__vd5dd063631b6427081fc23ff5583322c">'carbondata</span></i>'</p>
+<p id="mrs_01_1445__a0271a9ee6e3f40828ea425dfa51d0572"><b><span class="cmdname" id="mrs_01_1445__cmdname19729142621913">PROPERTIES</span></b> <i><span class="varname" id="mrs_01_1445__v6b051096ebda4e179177165423cf86b7">('table_blocksize'='256')</span></i>;</p>
+</div>
+<div class="section" id="mrs_01_1445__s8f4e64c8aaa64b358a92a4a4ab49ad08"><h4 class="sectiontitle">Parameter Description</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1445__tfa860801451c471c9e7be8c0a9c58366" frame="border" border="1" rules="all"><caption><b>Table 1 </b>CREATE SECONDARY INDEX parameters</caption><thead align="left"><tr id="mrs_01_1445__r80fcf2cfbdfd46369f18964a259a2478"><th align="left" class="cellrowborder" valign="top" width="20.380000000000003%" id="mcps1.3.3.2.2.3.1.1"><p id="mrs_01_1445__a937f76ef3424443f86abf8eba9a207e0">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="79.62%" id="mcps1.3.3.2.2.3.1.2"><p id="mrs_01_1445__a024830b3bf5049a6a6baa531e07104f7">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1445__r7ff21ade6c684db4b3db45dae82b6c28"><td class="cellrowborder" valign="top" width="20.380000000000003%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1445__afe398ae29f4a4da8a8acb611f6659438">index_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="79.62%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1445__a83a3d923380648c7b17aa5f94e5ffd12">Index table name. It consists of letters, digits, and special characters (_).</p>
+</td>
+</tr>
+<tr id="mrs_01_1445__re566e80fa1c54ffd9f225cbaa7500910"><td class="cellrowborder" valign="top" width="20.380000000000003%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1445__aa5d57e46bc394ffbb0b1d7fa3dc7397e">db_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="79.62%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1445__abce1250ad4474de19de2c95ae345bed7">Database name. It consists of letters, digits, and special characters (_).</p>
+</td>
+</tr>
+<tr id="mrs_01_1445__r74262e1f856541ddb2df29811e027d22"><td class="cellrowborder" valign="top" width="20.380000000000003%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1445__aa6b7410f10c043619393f33af0440d8a">table_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="79.62%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1445__ae5c06732fb2b4193952848fef47b3b8e">Name of the database table. It consists of letters, digits, and special characters (_).</p>
+</td>
+</tr>
+<tr id="mrs_01_1445__rd93310ce93694e6daa1a06c134318bbc"><td class="cellrowborder" valign="top" width="20.380000000000003%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1445__afaad81f732cc40b99adc41b5cccb9137"><span id="mrs_01_1445__pe4f1b12bb0094bda8a939662cb1bf55f">col_name</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="79.62%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1445__a97eab55cd1404539b852763e38150666">Name of a column in a table. Multiple columns are supported. It consists of letters, digits, and special characters (_).</p>
+</td>
+</tr>
+<tr id="mrs_01_1445__r0da0efab0c854685b25c7cd72d77a7b5"><td class="cellrowborder" valign="top" width="20.380000000000003%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1445__a4af2a929a9c24387add4c5f90b904da9">table_blocksize</p>
+</td>
+<td class="cellrowborder" valign="top" width="79.62%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1445__ac28cd075d30a4d4a950b27eac123b16a">Block size of a data file. For details, see <a href="mrs_01_1425.html#mrs_01_1425__l053c6fa1a366488ea6410cb4bb4fc5d1">•Block Size</a>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1445__s8290f5aad4a74cd5b607a4205ad9cfb4"><h4 class="sectiontitle">Precautions</h4><p id="mrs_01_1445__afdc731c57ee24c1e900ede557ae8f91f"><strong id="mrs_01_1445__b9106172611414">db_name</strong> is optional.</p>
+</div>
+<div class="section" id="mrs_01_1445__sb4d59b85540647c7874df9e153384349"><h4 class="sectiontitle">Examples</h4><p id="mrs_01_1445__p119241022145814"><strong id="mrs_01_1445__b7148133422117">create table </strong><strong id="mrs_01_1445__b172891211102511">productdb.productSalesTable(id int,price int,productName string,city string) stored </strong><strong id="mrs_01_1445__b8289141110257">as </strong><strong id="mrs_01_1445__b1728919118257">carbondata;</strong></p>
+<p id="mrs_01_1445__p5442121805810"><b><span class="cmdname" id="mrs_01_1445__cmdname18381431161918">CREATE INDEX productNameIndexTable on table productdb.productSalesTable (productName,city) as 'carbondata' ;</span></b></p>
+<p id="mrs_01_1445__ad21671cd18cf48bb821b37a5e81eb7cd">In this example, a secondary table named <span class="filepath" id="mrs_01_1445__f06e89ecec9884f6e81ba41eaeb953447"><b>productdb.productNameIndexTable</b></span> is created and index information of the provided column is loaded.</p>
+</div>
+<div class="section" id="mrs_01_1445__s1ad43c8d411844f2a7b087692de98193"><h4 class="sectiontitle">System Response</h4><p id="mrs_01_1445__ac58eefec29914019b80400304ef63245">A secondary index table will be created. Index information related to the provided column will be loaded into the secondary index table. The success message will be recorded in system logs.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1437.html">DML</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1446.html b/docs/mrs/component-operation-guide/mrs_01_1446.html
new file mode 100644
index 000000000..ca909bf3c
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1446.html
@@ -0,0 +1,43 @@
+<a name="mrs_01_1446"></a><a name="mrs_01_1446"></a>
+
+<h1 class="topictitle1">SHOW SECONDARY INDEXES</h1>
+<div id="body1595920214459"><div class="section" id="mrs_01_1446__s4fc94dd9dc8b4216848b7917c49e23cb"><h4 class="sectiontitle">Function</h4><p id="mrs_01_1446__a3fc47f72d4ed48a295fbf83b55e66a9f">This command is used to list all secondary index tables in the CarbonData table.</p>
+</div>
+<div class="section" id="mrs_01_1446__sa9ad3304a81c473783c1c360e0caeef4"><h4 class="sectiontitle">Syntax</h4><p id="mrs_01_1446__a69e84e9eb7aa4e4e89e815b843bbe262"><b><span class="cmdname" id="mrs_01_1446__cmdname155232040171911">SHOW INDEXES ON db_name.table_name</span></b>;</p>
+</div>
+<div class="section" id="mrs_01_1446__sbdbb0599fd904dfd854791ee4dc98ee9"><h4 class="sectiontitle">Parameter Description</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1446__t966d4eb085f348d19990cc309c33d0b1" frame="border" border="1" rules="all"><caption><b>Table 1 </b>SHOW SECONDARY INDEXES parameters</caption><thead align="left"><tr id="mrs_01_1446__ra8e0e4852d1943718c1a4390a9fece0a"><th align="left" class="cellrowborder" valign="top" width="20.380000000000003%" id="mcps1.3.3.2.2.3.1.1"><p id="mrs_01_1446__a0f1a5a7ac48f4d70aed5620580879c63">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="79.62%" id="mcps1.3.3.2.2.3.1.2"><p id="mrs_01_1446__ab10cd6e31d694adf8ed958af218d3ab4">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1446__r2d6971d8a6d84c4e97dcc7858b21d69c"><td class="cellrowborder" valign="top" width="20.380000000000003%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1446__ab608d97d5d204f528b4c18c407da281a">db_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="79.62%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1446__ad13cdff8f521461fa93b595fca3a2355">Database name. It consists of letters, digits, and special characters (_).</p>
+</td>
+</tr>
+<tr id="mrs_01_1446__r2517a21672b14e6f8bf74d084a789b09"><td class="cellrowborder" valign="top" width="20.380000000000003%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1446__a817dc7ef44d14388986d03a014c9db54">table_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="79.62%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1446__a86af30bc4dbd4951a8ce1b219393c177">Name of the database table. It consists of letters, digits, and special characters (_).</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1446__s9441e9db8ea942fd9537084cacb3f0a2"><h4 class="sectiontitle">Precautions</h4><p id="mrs_01_1446__aa835961499694d77a06f1a5a8a91a2c8"><strong id="mrs_01_1446__b192207149981527">db_name</strong> is optional.</p>
+</div>
+<div class="section" id="mrs_01_1446__sd90b4ad83961456d8fab72a71288aad8"><h4 class="sectiontitle">Examples</h4><p id="mrs_01_1446__p119241022145814"><strong id="mrs_01_1446__b721649152418">create table productdb.productSalesTable(id int,price int,productName string,city string) stored as carbondata;</strong></p>
+<p id="mrs_01_1446__p5442121805810"><b><span class="cmdname" id="mrs_01_1446__cmdname18381431161918">CREATE INDEX productNameIndexTable on table productdb.productSalesTable (productName,city) as 'carbondata' ;</span></b></p>
+<p id="mrs_01_1446__abd30a83f33164541859f597bcc485cb5"><b><span class="cmdname" id="mrs_01_1446__cmdname2255744111918">SHOW INDEXES ON productdb.productSalesTable</span></b>;</p>
+</div>
+<div class="section" id="mrs_01_1446__s5d84102340e640229ddc892b5bdac553"><h4 class="sectiontitle">System Response</h4><p id="mrs_01_1446__a43b7ae81b88b4035a56c6a65611f4ac5">All index tables and corresponding index columns in a given CarbonData table will be listed.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1437.html">DML</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1447.html b/docs/mrs/component-operation-guide/mrs_01_1447.html
new file mode 100644
index 000000000..d008514c5
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1447.html
@@ -0,0 +1,46 @@
+<a name="mrs_01_1447"></a><a name="mrs_01_1447"></a>
+
+<h1 class="topictitle1">DROP SECONDARY INDEX</h1>
+<div id="body1595920214698"><div class="section" id="mrs_01_1447__s9c726969f4a04150b36549fc80bdba4f"><h4 class="sectiontitle">Function</h4><p id="mrs_01_1447__a5513688e6b7248de87c1661d4524e1f2">This command is used to delete the existing secondary index table in a specific table.</p>
+</div>
+<div class="section" id="mrs_01_1447__s5e51752eec464718a672ce8db43040c5"><h4 class="sectiontitle">Syntax</h4><p id="mrs_01_1447__a814966c0fed44e8ea85e3e1c147be44d"><b><span class="cmdname" id="mrs_01_1447__cmdname1511914152258">DROP INDEX</span></b> <i><span class="varname" id="mrs_01_1447__v4258fe77970c4d4d957d680a6f95326f">[IF EXISTS] index_name</span></i><b><span class="cmdname" id="mrs_01_1447__cmdname821951932515"> ON</span></b> <i><span class="varname" id="mrs_01_1447__v804e68b18fdb4ecfac1e2185d0af8372">[db_name.]table_name</span></i>;</p>
+</div>
+<div class="section" id="mrs_01_1447__s85bbfaf958cd49978b10a9584dc4f49c"><h4 class="sectiontitle">Parameter Description</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1447__td0795b7831fb4c56962be412fac9ba59" frame="border" border="1" rules="all"><caption><b>Table 1 </b>DROP SECONDARY INDEX parameters</caption><thead align="left"><tr id="mrs_01_1447__r326851be311247d9b300b2418bb8bf2b"><th align="left" class="cellrowborder" valign="top" width="20.380000000000003%" id="mcps1.3.3.2.2.3.1.1"><p id="mrs_01_1447__aac78d5017b6643bf996d56c4f0388229">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="79.62%" id="mcps1.3.3.2.2.3.1.2"><p id="mrs_01_1447__a15d23ff424fb4c4c80993eb7d906bb78">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1447__r5b25c229c41747dd9f9228331f72df1e"><td class="cellrowborder" valign="top" width="20.380000000000003%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1447__a434b972d312849fe9af000eae6f5beb8">index_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="79.62%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1447__afbbcb94a086747b280b3316dccd98ebd">Name of the index table. Table name contains letters, digits, and underscores (_).</p>
+</td>
+</tr>
+<tr id="mrs_01_1447__raa13e3dfd2f449a7aa1884213456d169"><td class="cellrowborder" valign="top" width="20.380000000000003%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1447__aeb461d8b75574438bdbf6692b0795cbf">db_Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="79.62%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1447__a4c1c4e1e66834c239eff957b50fd8ef7">Name of the database. If the parameter is not specified, the current database is used.</p>
+</td>
+</tr>
+<tr id="mrs_01_1447__r42ce55c99ddb4e1cb5486fc7f183e17a"><td class="cellrowborder" valign="top" width="20.380000000000003%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1447__aa8863b79e48e48c3b1ef904fbd7ba049">table_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="79.62%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1447__a25eeca4e2b95409eb8a11c4803d17d6d">Name of the table to be deleted.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1447__s783f699445274d95a30f8b9416fef5c4"><h4 class="sectiontitle">Usage Guidelines</h4><p id="mrs_01_1447__a623084455136453fab19a8dd0503e85a">In this command, <strong id="mrs_01_1447__a3f6c78a523264fd5be4bccb79d60f3aa">IF EXISTS</strong> and <strong id="mrs_01_1447__a1637122b2b364a0bbaef52530e90a865">db_name</strong> are optional.</p>
+</div>
+<div class="section" id="mrs_01_1447__s15dfe1654a3c4d45bbebbf306b3e8527"><h4 class="sectiontitle">Examples</h4><p id="mrs_01_1447__ab0476906fc1a46bd96b049757dc09d40"><b><span class="cmdname" id="mrs_01_1447__cmdname02565712519">DROP INDEX</span></b> <i><span class="varname" id="mrs_01_1447__v3ad3779a866a430d8fd6ac91f02ab171">if exists productNameIndexTable</span></i> <b><span class="cmdname" id="mrs_01_1447__cmdname1899318214266">ON</span></b> <i><span class="varname" id="mrs_01_1447__v0f9baa06cffc4827a68e5c57ab4e6b3c">productdb.productSalesTable</span></i>;</p>
+</div>
+<div class="section" id="mrs_01_1447__sad026580a2914fefa3e5e3eba131e9cc"><h4 class="sectiontitle">System Response</h4><p id="mrs_01_1447__ad0d85e22c419452497b0323226025342">Secondary Index Table will be deleted. Index information will be cleared in CarbonData table and the success message will be recorded in system logs.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1437.html">DML</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1448.html b/docs/mrs/component-operation-guide/mrs_01_1448.html
new file mode 100644
index 000000000..67b723db9
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1448.html
@@ -0,0 +1,51 @@
+<a name="mrs_01_1448"></a><a name="mrs_01_1448"></a>
+
+<h1 class="topictitle1">CLEAN FILES</h1>
+<div id="body1595920214923"><div class="section" id="mrs_01_1448__s1bff0a7d17294b7c9a4d8b14e8601197"><h4 class="sectiontitle">Function</h4><p id="mrs_01_1448__a9223a77ed9c14fbf8640d6a14af972d7">After the <strong id="mrs_01_1448__b16992722121416">DELETE SEGMENT</strong> command is executed, the deleted segments are marked as the <strong id="mrs_01_1448__b14268143317148">delete</strong> state. After the segments are merged, the status of the original segments changes to <strong id="mrs_01_1448__b42316409144">compacted</strong>. The data files of these segments are not physically deleted. If you want to forcibly delete these files, run the <strong id="mrs_01_1448__b728614115159"><b><span class="cmdname" id="mrs_01_1448__cmdname11921142162012">CLEAN FILES</span></b></strong> command.</p>
+<p id="mrs_01_1448__a21ad5a6db51f4e1885c8e260fb1c5174">However, running this command may result in a query command execution failure.</p>
+</div>
+<div class="section" id="mrs_01_1448__sa0d70a9905b24a49879dd24428cbead1"><h4 class="sectiontitle">Syntax</h4><p id="mrs_01_1448__a94820938e4b843e69c8085207eee23ee"><b><span class="cmdname" id="mrs_01_1448__cmdname456712692017">CLEAN FILES FOR TABLE</span></b><i><span class="varname" id="mrs_01_1448__v118b908727a8457da510d88b26734095"> [db_name.]table_name</span></i> ;</p>
+</div>
+<div class="section" id="mrs_01_1448__sd87f361fc80e4564add00f51b8e47e76"><h4 class="sectiontitle">Parameter Description</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1448__tdd0dbdd0de23449d865179baf9886fc7" frame="border" border="1" rules="all"><caption><b>Table 1 </b>CLEAN FILES FOR TABLE parameters</caption><thead align="left"><tr id="mrs_01_1448__ree642220a49d4ec1b38f612f8938f30d"><th align="left" class="cellrowborder" valign="top" width="22.18%" id="mcps1.3.3.2.2.3.1.1"><p id="mrs_01_1448__a90b34ad5d9564bf5b2219865451e5cb8">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="77.82%" id="mcps1.3.3.2.2.3.1.2"><p id="mrs_01_1448__a4d187fae84c24db8a122afdbcd95248d">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1448__r8098e65e043843d1a4bc8faba97d334f"><td class="cellrowborder" valign="top" width="22.18%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1448__a4d6381ea14f44db2b6ea972271c17819">db_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.82%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1448__a75bf89decea146cb926e9415571d51c0">Database name. It consists of letters, digits, and underscores (_).</p>
+</td>
+</tr>
+<tr id="mrs_01_1448__r82b27f43c8d34a21bcedc391d22f8c0e"><td class="cellrowborder" valign="top" width="22.18%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1448__afc9efd85874b44879197466a5aa865ad">table_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.82%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1448__a99cee7a5dcc3449aa9d003fa898b9468">Name of the database table. It consists of letters, digits, and underscores (_).</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1448__s575a6ce1a8aa4407a594d74790fd6534"><h4 class="sectiontitle">Precautions</h4><p id="mrs_01_1448__a1ca30f71c2e14ffdb5dca6ffa9cf29f7">None</p>
+</div>
+<div class="section" id="mrs_01_1448__s41bcdb01f192483080b3d37ba63c062b"><h4 class="sectiontitle">Examples</h4><p id="mrs_01_1448__p28581651141512">Add Carbon configuration parameters.</p>
+<pre class="screen" id="mrs_01_1448__screen3868201717162">carbon.clean.file.force.allowed = true</pre>
+<p id="mrs_01_1448__p19316121944"><strong id="mrs_01_1448__b54774717279">create table carbon01(a int,b string,c string) stored as carbondata;</strong></p>
+<p id="mrs_01_1448__p1020020421940"><strong id="mrs_01_1448__b19501197202714">insert into table carbon01 select 1,'a','aa';</strong></p>
+<p id="mrs_01_1448__p1755115541845"><strong id="mrs_01_1448__b250213710278">insert into table carbon01 select 2,'b','bb';</strong></p>
+<p id="mrs_01_1448__p2036056058"><strong id="mrs_01_1448__b18503472270">delete from table carbon01 where segment.id in (0);</strong></p>
+<p id="mrs_01_1448__p22161037951"><strong id="mrs_01_1448__b1650410719276">show segments for table carbon01;</strong></p>
+<p id="mrs_01_1448__aca788e58f51045a294af41a24c9f8439"><strong id="mrs_01_1448__b1431533682719">CLEAN FILES FOR TABLE carbon01 options('force'='true');</strong></p>
+<p id="mrs_01_1448__p960725717515"><strong id="mrs_01_1448__b5236153942715">show segments for table carbon01;</strong></p>
+<p id="mrs_01_1448__af1ff962328424a39a35ffff3c5c28092">In this example, all the segments marked as <strong id="mrs_01_1448__b773663017158">deleted </strong> and <strong id="mrs_01_1448__b1340912941617">compacted</strong> are physically deleted.</p>
+</div>
+<div class="section" id="mrs_01_1448__s86230c3b0c57425c939df39a1b1a0115"><h4 class="sectiontitle">System Response</h4><p id="mrs_01_1448__a28169de0f4cb405690357b16d5027435">Success or failure will be recorded in the driver logs.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1437.html">DML</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1449.html b/docs/mrs/component-operation-guide/mrs_01_1449.html
new file mode 100644
index 000000000..6617a81ad
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1449.html
@@ -0,0 +1,125 @@
+<a name="mrs_01_1449"></a><a name="mrs_01_1449"></a>
+
+<h1 class="topictitle1">SET/RESET</h1>
+<div id="body1595920215199"><div class="section" id="mrs_01_1449__s50a79a00d0464249907123eb396c627d"><h4 class="sectiontitle">Function</h4><p id="mrs_01_1449__abcdff905c48a4d1ba817c07c37eb0594">This command is used to dynamically add, update, display, or reset the CarbonData properties without restarting the driver.</p>
+</div>
+<div class="section" id="mrs_01_1449__s9b445ccf2739404e9d1a2c450c384942"><h4 class="sectiontitle">Syntax</h4><ul id="mrs_01_1449__u2ec7ae48b172458bba5e89058447b65f"><li id="mrs_01_1449__l20f3887ef7d54aa5ae9e3a3661035bb2">Add or Update parameter value:<p id="mrs_01_1449__a0d0b28fb0c0c47f2b890f811a14e50df"><a name="mrs_01_1449__l20f3887ef7d54aa5ae9e3a3661035bb2"></a><a name="l20f3887ef7d54aa5ae9e3a3661035bb2"></a><b><span class="cmdname" id="mrs_01_1449__cmdname1591111815208">SET</span></b> <em id="mrs_01_1449__i635693810208">parameter_name</em>=<em id="mrs_01_1449__i18357103842015">parameter_value</em></p>
+<p id="mrs_01_1449__aabda752be0034bb39a17b7881220df39">This command is used to add or update the value of <span class="parmname" id="mrs_01_1449__pce42f0de34c3428a9d4afe1054f2af40"><b>parameter_name</b></span>.</p>
+</li><li id="mrs_01_1449__l865e38fbb6c44488be77115c15e14dd3">Display property value:<p id="mrs_01_1449__a5a26a713773d4516b8459566824f8471"><a name="mrs_01_1449__l865e38fbb6c44488be77115c15e14dd3"></a><a name="l865e38fbb6c44488be77115c15e14dd3"></a><b><span class="cmdname" id="mrs_01_1449__cmdname15406142211206">SET</span></b> <em id="mrs_01_1449__i134418449207">parameter_name</em></p>
+<p id="mrs_01_1449__a4d59a4074c2249539048f9e27b29d09a">This command is used to display the value of <span class="parmname" id="mrs_01_1449__p58306084187846ecb00c1f37bc170d14"><b>parameter_name</b></span>.</p>
+</li><li id="mrs_01_1449__lb4eedc6845604429a935466adb2fa27d">Display session parameter:<p id="mrs_01_1449__a4791c317a73a4fc7ac8ce79d19d3d764"><a name="mrs_01_1449__lb4eedc6845604429a935466adb2fa27d"></a><a name="lb4eedc6845604429a935466adb2fa27d"></a><b><span class="cmdname" id="mrs_01_1449__cmdname132228287208">SET</span></b></p>
+<p id="mrs_01_1449__a073f7cd8dd9d4ff987c342b0418aadb6">This command is used to display all supported session parameters.</p>
+</li><li id="mrs_01_1449__lbfd00437a4194245862d6acec4d66d05">Display session parameters along with usage details:<p id="mrs_01_1449__a26af39c6446b4f08aa394cd67feb3456"><a name="mrs_01_1449__lbfd00437a4194245862d6acec4d66d05"></a><a name="lbfd00437a4194245862d6acec4d66d05"></a><b><span class="cmdname" id="mrs_01_1449__cmdname3359134982014">SET</span></b> -v</p>
+<p id="mrs_01_1449__a629308ec728349e8b3606dd9149e0eb3">This command is used to display all supported session parameters and their usage details.</p>
+</li><li id="mrs_01_1449__l9ff5ee54ac83483c9d20dc3e5057e45a">Reset parameter value:<p id="mrs_01_1449__a308855b1ecd44412b6e0bf9bcb6e1bb1"><a name="mrs_01_1449__l9ff5ee54ac83483c9d20dc3e5057e45a"></a><a name="l9ff5ee54ac83483c9d20dc3e5057e45a"></a><b><span class="cmdname" id="mrs_01_1449__cmdname3577852172020">RESET</span></b></p>
+<p id="mrs_01_1449__aae371db389174e7d80a91bb7a823afc1">This command is used to clear all session parameters.</p>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1449__s874354d5c2a643c8a61ff676853754ef"><h4 class="sectiontitle">Parameter Description</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1449__t24d72ee171974750bc56763d1b4994a5" frame="border" border="1" rules="all"><caption><b>Table 1 </b>SET parameters</caption><thead align="left"><tr id="mrs_01_1449__r150e9b8c930f47638dfd7ab7afed270a"><th align="left" class="cellrowborder" valign="top" width="19.17%" id="mcps1.3.3.2.2.3.1.1"><p id="mrs_01_1449__a48feb400d1724c45a4759914f57d2957">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="80.83%" id="mcps1.3.3.2.2.3.1.2"><p id="mrs_01_1449__ae50041b6ac77460e8b78b145e0dff052">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1449__rfa4122e4f5134925af32bf60b6394a53"><td class="cellrowborder" valign="top" width="19.17%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1449__a275c70eab8094d72ab6f7bb2a70c1568">parameter_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="80.83%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1449__a3dbd111d045d41fb82801b02e1546e1d">Name of the parameter whose value needs to be dynamically added, updated, or displayed</p>
+</td>
+</tr>
+<tr id="mrs_01_1449__r69351225935747b7bdc190f228e8d95c"><td class="cellrowborder" valign="top" width="19.17%" headers="mcps1.3.3.2.2.3.1.1 "><p id="mrs_01_1449__aee5eaf277eb743bfb0baa0e9b8f3b957">parameter_value</p>
+</td>
+<td class="cellrowborder" valign="top" width="80.83%" headers="mcps1.3.3.2.2.3.1.2 "><p id="mrs_01_1449__a10b8717fda9746ef8f5250e2d0b806fd">New value of <span class="parmname" id="mrs_01_1449__p822304b1443746c09165f377151414dc"><b>parameter_name</b></span> to be set</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1449__s6b7a50f1640f4c589ebb1b63db120f79"><h4 class="sectiontitle">Precautions</h4><p id="mrs_01_1449__a94c9d5eb89fe497192bb75f4022dcaa3">The following table lists the properties which you can set or clear using the SET or RESET command.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1449__t5f527eeacdb14c8b80cb886d6455dbb2" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Properties</caption><thead align="left"><tr id="mrs_01_1449__r0083b193af5b422788ee292d7c8940f3"><th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.4.3.2.3.1.1"><p id="mrs_01_1449__a43cd6d0ad30e43fea40bee82c301e047">Property</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.4.3.2.3.1.2"><p id="mrs_01_1449__ad04c8cc0a4d944e3b32242aad6cbf5e8">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1449__r3caf4a439c25496a921a6f356c03a774"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.3.2.3.1.1 "><p id="mrs_01_1449__a1060bf80618e45439f569794bc2a4fab">carbon.options.bad.records.logger.enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.3.2.3.1.2 "><p id="mrs_01_1449__a7f98d77ec4164767a342fec2b20c23eb">Whether to enable bad record logger.</p>
+</td>
+</tr>
+<tr id="mrs_01_1449__rc182a826cf074195aec37efe577153dd"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.3.2.3.1.1 "><p id="mrs_01_1449__a1e883799c9a14764bd316bdc0d210c39">carbon.options.bad.records.action</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.3.2.3.1.2 "><p id="mrs_01_1449__a399597ba124149d3bbb9f0692cc9af00">Operations on bad records, for example, force, redirect, fail, or ignore. For more information, see <a href="mrs_01_1438.html#mrs_01_1438__lcf623574402c443e908646591898c2be">•Bad record handling</a>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1449__re82042d924364770b71e4949a06ea6ad"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.3.2.3.1.1 "><p id="mrs_01_1449__a86ebfc82a1084bd8bcc5692b5474023b">carbon.options.is.empty.data.bad.record</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.3.2.3.1.2 "><p id="mrs_01_1449__a3f1acfea550644fbbe8ffbaece42b2d7">Whether the empty data is considered as a bad record. For more information, see <a href="mrs_01_1438.html#mrs_01_1438__lcf623574402c443e908646591898c2be">Bad record handling</a>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1449__r452b376a1a8648098f4dffccf53c82bd"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.3.2.3.1.1 "><p id="mrs_01_1449__ad475b4ad3002477680b38d3f0cba579a">carbon.options.sort.scope</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.3.2.3.1.2 "><p id="mrs_01_1449__a2a332e2d3ab2476b9df82211f95cf3f9">Scope of the sort during data loading.</p>
+</td>
+</tr>
+<tr id="mrs_01_1449__r34262402716140a99c0bf3d1de66bdd5"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.3.2.3.1.1 "><p id="mrs_01_1449__a1b6bd244db0e409680cfe2ced2797ad0">carbon.options.bad.record.path</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.3.2.3.1.2 "><p id="mrs_01_1449__a27d8c585d9eb4841955c468a31261c3d">HDFS path where bad records are stored.</p>
+</td>
+</tr>
+<tr id="mrs_01_1449__re8f235c2fec04140a74f20b052b3fa07"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.3.2.3.1.1 "><p id="mrs_01_1449__ac8d222d50d9f4aab8b14c5f43c326834">carbon.custom.block.distribution</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.3.2.3.1.2 "><p id="mrs_01_1449__a83d2c5f20d6a4469a15d010346257a16">Whether to enable Spark or CarbonData block distribution.</p>
+</td>
+</tr>
+<tr id="mrs_01_1449__r830c85b1a9c34b82adc0a379f7f5af72"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.3.2.3.1.1 "><p id="mrs_01_1449__a40944c8718be4227b1b50042cd106784">enable.unsafe.sort</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.3.2.3.1.2 "><p id="mrs_01_1449__aa0cee96d0ddf4b6fa0e3ac95ed29ccf4">Whether to use unsafe sort during data loading. Unsafe sort reduces the garbage collection during data loading, thereby achieving better performance.</p>
+</td>
+</tr>
+<tr id="mrs_01_1449__r76ed8dc8e0b2402fb27749be6b3c8f19"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.3.2.3.1.1 "><p id="mrs_01_1449__ab10d82af53164bdba486c1407e7bb52d">carbon.si.lookup.partialstring</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.3.2.3.1.2 "><p id="mrs_01_1449__adfe6d12e427542649469d071e87d4830">If this is set to <strong id="mrs_01_1449__b15952430101112">TRUE</strong>, the secondary index uses the starts-with, ends-with, contains, and LIKE partition condition strings.</p>
+<p id="mrs_01_1449__a04517435ed6d4ad9a37c2e0c9e42582a">If this is set to <strong id="mrs_01_1449__b212319359119">FALSE</strong>, the secondary index uses only the starts-with partition condition string.</p>
+</td>
+</tr>
+<tr id="mrs_01_1449__rf2bc14ecd89b4da086badbc774a65ac7"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.3.2.3.1.1 "><p id="mrs_01_1449__a69932ef55364429896d1191eedd1c2f1">carbon.input.segments</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.3.2.3.1.2 "><p id="mrs_01_1449__a2acd14579f784dc2a47757de1d4fef9b">Segment ID to be queried. This property allows you to query a specified segment of a specified table. CarbonScan reads data only from the specified segment ID.</p>
+<p id="mrs_01_1449__ae7416c604f5a4700950cc6886ae500b6">Syntax:</p>
+<p id="mrs_01_1449__a37c5626e17fc4f2c89faa9efb69b369a"><span class="parmname" id="mrs_01_1449__pf5562fe8ec1e47ee88eaeab6f2d927e4"><b>carbon.input.segments. &lt;database_name&gt;. &lt;table_name&gt; = &lt; list of segment ids &gt;</b></span></p>
+<p id="mrs_01_1449__a407744236ed84702990133298c62b5e7">If you want to query a specified segment in multi-thread mode, you can use <strong id="mrs_01_1449__b17501656201113">CarbonSession.threadSet</strong> instead of the <strong id="mrs_01_1449__b10551956191115">SET</strong> statement.</p>
+<p id="mrs_01_1449__a9e2a2329cd744cba9c16a66e411ef226">Syntax:</p>
+<p id="mrs_01_1449__a21b3ac7ddc77496baab4f423cbf0753d"><span class="parmname" id="mrs_01_1449__p3062afcf30994c2aa98faac2308b852a"><b>CarbonSession.threadSet ("carbon.input.segments. &lt;database_name&gt;. &lt;table_name&gt;","&lt; list of segment ids &gt;");</b></span></p>
+<div class="note" id="mrs_01_1449__nc3f3620202784310a4e3cdbe49d73831"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1449__a47ad40ee5dcd4f70ae0a869742c36223">You are advised not to set this property in the <strong id="mrs_01_1449__b147148201216">carbon.properties</strong> file because all sessions contain the segment list unless session-level or thread-level overwriting occurs.</p>
+</div></div>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1449__s0e7b22986c084aebb0a4c962c202121f"><h4 class="sectiontitle">Examples</h4><ul id="mrs_01_1449__u48677368522e476b9e079b83e2b5aea8"><li id="mrs_01_1449__l7ef2458d622e45d09386d0958b42249c">Add or Update:<p id="mrs_01_1449__a0227e05c49cc432b95e6f58c83e331f9"><a name="mrs_01_1449__l7ef2458d622e45d09386d0958b42249c"></a><a name="l7ef2458d622e45d09386d0958b42249c"></a><b><span class="cmdname" id="mrs_01_1449__cmdname188467122115">SET</span></b> <em id="mrs_01_1449__i163935146213">enable.unsafe.sort</em>=<em id="mrs_01_1449__i37031952212">true</em></p>
+</li><li id="mrs_01_1449__lf9248b044cd74484a67e768a3131af97">Display property value:<p id="mrs_01_1449__aeeb2e3501b624fac8b7bbfe450aca2c9"><a name="mrs_01_1449__lf9248b044cd74484a67e768a3131af97"></a><a name="lf9248b044cd74484a67e768a3131af97"></a><b><span class="cmdname" id="mrs_01_1449__cmdname16557191212">SET</span></b> <em id="mrs_01_1449__a8e01200e80c74236877bd85819322758">enable.unsafe.sort</em></p>
+</li><li id="mrs_01_1449__l44c8b60f36e046aab17f9be40f152389">Show the segment ID list, segment status, and other required details, and specify the segment list to be read:<p id="mrs_01_1449__a06333f21575c40dcb9ed159e4f4d1db2"><a name="mrs_01_1449__l44c8b60f36e046aab17f9be40f152389"></a><a name="l44c8b60f36e046aab17f9be40f152389"></a><b><span class="cmdname" id="mrs_01_1449__cmdname14261123215211">SHOW SEGMENTS FOR</span></b> <em id="mrs_01_1449__i16160133612112">TABLE carbontable1;</em></p>
+<p id="mrs_01_1449__a9fc5b66469e84dd4b02eb464840a921e"><b><span class="cmdname" id="mrs_01_1449__cmdname0895741132110">SET</span></b> <em id="mrs_01_1449__a74d223d2dd0548529fd75a343c726af0">carbon.input.segments.db.carbontable1 = 1, 3, 9;</em></p>
+</li><li id="mrs_01_1449__lec09114d4f754e61a5bcef79b04ebcd1">Query a specified segment in multi-thread mode:<p id="mrs_01_1449__a834453eb3fc74bcd9164b705d202e776"><a name="mrs_01_1449__lec09114d4f754e61a5bcef79b04ebcd1"></a><a name="lec09114d4f754e61a5bcef79b04ebcd1"></a><b><span class="cmdname" id="mrs_01_1449__cmdname087019525211">CarbonSession.threadSet</span></b> (<em id="mrs_01_1449__i56501758162115">"carbon.input.segments.default.carbon_table_MulTI_THread", "1,3"</em>);</p>
+</li><li id="mrs_01_1449__l5033f3a0ecc0435e895d0b83091a6d06">Use <strong id="mrs_01_1449__b14510532161314">CarbonSession.threadSet</strong> to query segments in a multi-thread environment (Scala code is used as an example):<pre class="screen" id="mrs_01_1449__sba734853a9a74703843cf12e6b1dbc83">def main(args: Array[String]) {
+ Future {              CarbonSession.threadSet("carbon.input.segments.default.carbon_table_MulTI_THread", "1")
+      spark.sql("select count(empno) from carbon_table_MulTI_THread").show()
+    }
+}</pre>
+</li><li id="mrs_01_1449__lad81debf083840bd884c6925144866e2">Reset:<p id="mrs_01_1449__a130ecb4ddb7a43c29bfd1f6f9d928d52"><a name="mrs_01_1449__lad81debf083840bd884c6925144866e2"></a><a name="lad81debf083840bd884c6925144866e2"></a><b><span class="cmdname" id="mrs_01_1449__cmdname1053326162212">RESET</span></b></p>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1449__s1bb5666182f149baa0f41ec36ebc85fc"><h4 class="sectiontitle">System Response</h4><ul id="mrs_01_1449__u0f27508b68204df7bf2e912db202d649"><li id="mrs_01_1449__lfabc560ae0614945a1ea107cf852d692">Success will be recorded in the driver log.</li><li id="mrs_01_1449__l9834e6956bf24a05a9a5873fb69fc7f4">Failure will be displayed on the UI.</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1437.html">DML</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1450.html b/docs/mrs/component-operation-guide/mrs_01_1450.html
new file mode 100644
index 000000000..25b4f0783
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1450.html
@@ -0,0 +1,93 @@
+<a name="mrs_01_1450"></a><a name="mrs_01_1450"></a>
+
+<h1 class="topictitle1">API</h1>
+<div id="body1595920215200"><p id="mrs_01_1450__p14983142717355">This section describes the APIs and usage methods of Segment. All methods are in the org.apache.spark.util.CarbonSegmentUtil class.</p>
+<p id="mrs_01_1450__p39839279357">The following methods have been abandoned:</p>
+<pre class="screen" id="mrs_01_1450__screen178713101417">/** 
+* Returns the valid segments for the query based on the filter condition 
+* present in carbonScanRdd. 
+* 
+* @param carbonScanRdd 
+* @return Array of valid segments 
+*/ 
+@deprecated def getFilteredSegments(carbonScanRdd: CarbonScanRDD[InternalRow]): Array[String];</pre>
+<div class="section" id="mrs_01_1450__section13942182512534"><h4 class="sectiontitle">Usage Method</h4><div class="p" id="mrs_01_1450__p437994423520">Use the following methods to obtain CarbonScanRDD from the query statement:<pre class="screen" id="mrs_01_1450__screen11354455192113">val df=carbon.sql("select * from table where age='12'") 
+val myscan=df.queryExecution.sparkPlan.collect { 
+case scan: CarbonDataSourceScan if scan.rdd.isInstanceOf[CarbonScanRDD[InternalRow]] =&gt; scan.rdd 
+case scan: RowDataSourceScanExec if scan.rdd.isInstanceOf[CarbonScanRDD[InternalRow]] =&gt; scan.rdd 
+}.head 
+val carbonrdd=myscan.asInstanceOf[CarbonScanRDD[InternalRow]]</pre>
+</div>
+<p id="mrs_01_1450__p121581678366">Example:</p>
+<pre class="screen" id="mrs_01_1450__screen591534012572">CarbonSegmentUtil.getFilteredSegments(carbonrdd) </pre>
+<div class="p" id="mrs_01_1450__p64851741192318">The filtered segment can be obtained by importing SQL statements.<pre class="screen" id="mrs_01_1450__screen1884112192417">/** 
+* Returns an array of valid segment numbers based on the filter condition provided in the sql 
+* NOTE: This API is supported only for SELECT Sql (insert into,ctas,.., is not supported) 
+* 
+* @param sql 
+* @param sparkSession 
+* @return Array of valid segments 
+* @throws UnsupportedOperationException because Get Filter Segments API supports if and only 
+* if only one carbon main table is present in query. 
+*/ 
+def getFilteredSegments(sql: String, sparkSession: SparkSession): Array[String];</pre>
+</div>
+<p id="mrs_01_1450__p1169595582416">Example:</p>
+<pre class="screen" id="mrs_01_1450__screen3942121122520">CarbonSegmentUtil.getFilteredSegments("select * from table where age='12'", sparkSession)</pre>
+<p id="mrs_01_1450__p9629910182514">Import the database name and table name to obtain the list of segments to be merged. The obtained segments can be used as parameters of the getMergedLoadName function.</p>
+<pre class="screen" id="mrs_01_1450__screen1011662014252">/** 
+* Identifies all segments which can be merged with MAJOR compaction type. 
+* NOTE: This result can be passed to getMergedLoadName API to get the merged load name. 
+* 
+* @param sparkSession
+* @param tableName 
+* @param dbName 
+* @return list of LoadMetadataDetails  
+*/ 
+def identifySegmentsToBeMerged(sparkSession: SparkSession, 
+tableName: String, 
+dbName: String) : util.List[LoadMetadataDetails];</pre>
+<p id="mrs_01_1450__p152559383257">Example:</p>
+<pre class="screen" id="mrs_01_1450__screen7224124082616">CarbonSegmentUtil.identifySegmentsToBeMerged(sparkSession, "table_test","default") </pre>
+<p id="mrs_01_1450__p43665121922">Import the database name, table name, and obtain all segments which can be merged with CUSTOM compaction type. The obtained segments can be transferred as the parameter of the getMergedLoadName function.</p>
+<pre class="screen" id="mrs_01_1450__screen614056102717">/** 
+* Identifies all segments which can be merged with CUSTOM compaction type. 
+*  NOTE: This result can be passed to getMergedLoadName API to get the merged load name. 
+* 
+* @param sparkSession 
+* @param tableName 
+* @param dbName 
+* @param customSegments 
+* @return list of LoadMetadataDetails 
+* @throws UnsupportedOperationException if customSegments is null or empty. 
+* @throws MalformedCarbonCommandException if segment does not exist or is not valid 
+*/ 
+def identifySegmentsToBeMergedCustom(sparkSession: SparkSession, 
+tableName: String, 
+dbName: String, 
+customSegments: util.List[String]): util.List[LoadMetadataDetails];</pre>
+<p id="mrs_01_1450__p1234555862615">Example:</p>
+<pre class="screen" id="mrs_01_1450__screen134989292817">val customSegments = new util.ArrayList[String]()
+customSegments.add("1")
+customSegments.add("2")  
+CarbonSegmentUtil.identifySegmentsToBeMergedCustom(sparkSession, "table_test","default", customSegments)</pre>
+<p id="mrs_01_1450__p12897205892612">If a segment list is specified, the merged load name is returned.</p>
+<pre class="screen" id="mrs_01_1450__screen940184222814">/** 
+* Returns the Merged Load Name for given list of segments 
+* 
+* @param list of segments 
+* @return Merged Load Name 
+* @throws UnsupportedOperationException if list of segments is less than 1 
+*/ 
+def getMergedLoadName(list: util.List[LoadMetadataDetails]): String;</pre>
+<p id="mrs_01_1450__p1593104016284">Example:</p>
+<pre class="screen" id="mrs_01_1450__screen73176519299">val carbonTable = CarbonEnv.getCarbonTable(Option(databaseName), tableName)(sparkSession) 
+val loadMetadataDetails = SegmentStatusManager.readLoadMetadata(carbonTable.getMetadataPath)  CarbonSegmentUtil.getMergedLoadName(loadMetadataDetails.toList.asJava)</pre>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1423.html">CarbonData Syntax Reference</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1451.html b/docs/mrs/component-operation-guide/mrs_01_1451.html
new file mode 100644
index 000000000..38a36995c
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1451.html
@@ -0,0 +1,900 @@
+<a name="mrs_01_1451"></a><a name="mrs_01_1451"></a>
+
+<h1 class="topictitle1">Spatial Indexes</h1>
+<div id="body1595920215201"><div class="section" id="mrs_01_1451__section3114411429"><h4 class="sectiontitle">Quick Example</h4><pre class="screen" id="mrs_01_1451__screen165647541525">create table IF NOT EXISTS carbonTable
+(
+COLUMN1    BIGINT,
+LONGITUDE    BIGINT,
+LATITUDE    BIGINT,
+COLUMN2    BIGINT,
+COLUMN3    BIGINT
+)
+STORED AS carbondata
+TBLPROPERTIES ('SPATIAL_INDEX.mygeohash.type'='geohash','SPATIAL_INDEX.mygeohash.sourcecolumns'='longitude, latitude','SPATIAL_INDEX.mygeohash.originLatitude'='39.850713','SPATIAL_INDEX.mygeohash.gridSize'='50','SPATIAL_INDEX.mygeohash.minLongitude'='115.828503','SPATIAL_INDEX.mygeohash.maxLongitude'='720.000000','SPATIAL_INDEX.mygeohash.minLatitude'='39.850713','SPATIAL_INDEX.mygeohash.maxLatitude'='720.000000','SPATIAL_INDEX'='mygeohash','SPATIAL_INDEX.mygeohash.conversionRatio'='1000000','SORT_COLUMNS'='column1,column2,column3,latitude,longitude');</pre>
+</div>
+<div class="section" id="mrs_01_1451__section63842141312"><h4 class="sectiontitle">Introduction to Spatial Indexes</h4><p id="mrs_01_1451__p58049619219">Spatial data includes multidimensional points, lines, rectangles, cubes, polygons, and other geometric objects. A spatial data object occupies a certain region of space, called spatial scope, characterized by its location and boundary. The spatial data can be either point data or region data.</p>
+<ul id="mrs_01_1451__ul5770844205613"><li id="mrs_01_1451__li147701144145612">Point data: A point has a spatial extent characterized completely by its location. It does not occupy space and has no associated boundary. Point data consists of a collection of points in a two-dimensional space. Points can be stored as a pair of longitude and latitude.</li><li id="mrs_01_1451__li1777014441564">Region data: A region has a spatial extent with a location, and boundary. The location can be considered as the position of a fixed point in the region, such as its centroid. In two dimensions, the boundary can be visualized as a line (for finite regions, a closed loop). Region data contains a collection of regions.</li></ul>
+<p id="mrs_01_1451__p12804196427">Currently, only point data is supported, and it can be stored.</p>
+<p id="mrs_01_1451__p680596728">Longitude and latitude can be encoded as a unique GeoID. Geohash is a public-domain geocoding system invented by Gustavo Niemeyer. It encodes geographical locations into a short string of letters and digits. It is a hierarchical spatial data structure which subdivides the space into buckets of grid shape, which is one of the many applications of what is known as the Z-order curve, and generally the space-filling curve.</p>
+<p id="mrs_01_1451__p280566923">The Z value of a point in multiple dimensions is calculated by interleaving the binary representation of its coordinate value, as shown in the following figure. When Geohash is used to create a GeoID, data is sorted by GeoID instead of longitude and latitude. Data is stored by spatial proximity.</p>
+<p id="mrs_01_1451__p1087105691819"><span><img id="mrs_01_1451__image487155616180" src="en-us_image_0000001296090372.png"></span></p>
+</div>
+<div class="section" id="mrs_01_1451__section186317481631"><h4 class="sectiontitle">Creating a Table</h4><p id="mrs_01_1451__p8772102814522"><strong id="mrs_01_1451__b8667113453912">GeoHash encoding</strong>:</p>
+<pre class="screen" id="mrs_01_1451__screen1811741544">create table IF NOT EXISTS carbonTable
+(
+...
+`LONGITUDE`     BIGINT,
+`LATITUDE`      BIGINT,
+...
+)
+STORED AS carbondata
+TBLPROPERTIES ('SPATIAL_INDEX.mygeohash.type'='geohash','SPATIAL_INDEX.mygeohash.sourcecolumns'='longitude, latitude','SPATIAL_INDEX.mygeohash.originLatitude'='xx.xxxxxx','SPATIAL_INDEX.mygeohash.gridSize'='xx','SPATIAL_INDEX.mygeohash.minLongitude'='xxx.xxxxxx','SPATIAL_INDEX.mygeohash.maxLongitude'='xxx.xxxxxx','SPATIAL_INDEX.mygeohash.minLatitude'='xx.xxxxxx','SPATIAL_INDEX.mygeohash.maxLatitude'='xxx.xxxxxx','SPATIAL_INDEX'='mygeohash','SPATIAL_INDEX.mygeohash.conversionRatio'='1000000','SORT_COLUMNS'='column1,column2,column3,latitude,longitude');</pre>
+<p id="mrs_01_1451__p3500131341616"><strong id="mrs_01_1451__b183252328">SPATIAL_INDEX</strong> is a user-defined index handler. This handler allows users to create new columns from the table-structure column set. The new column name is the same as that of the handler name. The <strong id="mrs_01_1451__b11655122731611">type</strong> and <strong id="mrs_01_1451__b96601227101620">sourcecolumns</strong> properties of the handler are mandatory. Currently, the value of <strong id="mrs_01_1451__b2643132851619">type</strong> supports only <strong id="mrs_01_1451__b1864332815166">geohash</strong>. Carbon provides a default implementation class that can be easily used. You can extend the default implementation class to mount the customized implementation class of <strong id="mrs_01_1451__b44893113165">geohash</strong>. The default handler also needs to provide the following table properties:</p>
+<ul id="mrs_01_1451__ul15265735181014"><li id="mrs_01_1451__li12605182492710"><strong id="mrs_01_1451__b184800172173">SPATIAL_INDEX.</strong><em id="mrs_01_1451__i2067013143178">xxx</em><strong id="mrs_01_1451__b1936820141711">.originLatitude</strong>: specifies the origin latitude. (<strong id="mrs_01_1451__b10930461718">Double</strong> type.)</li><li id="mrs_01_1451__li73941248162718"><strong id="mrs_01_1451__b340882415172">SPATIAL_INDEX.</strong><em id="mrs_01_1451__i1840972451720">xxx</em><strong id="mrs_01_1451__b0410172412170">.gridSize</strong>: specifies the grid length in meters. (<strong id="mrs_01_1451__b1441192461710">Int</strong> type.)</li><li id="mrs_01_1451__li182669356102"><strong id="mrs_01_1451__b129166403175">SPATIAL_INDEX.</strong><em id="mrs_01_1451__i1992213407175">xxx</em><strong id="mrs_01_1451__b39239400173">.minLongitude</strong>: specifies the minimum longitude. (<strong id="mrs_01_1451__b17924740121717">Double</strong> type.)</li><li id="mrs_01_1451__li1326693519109"><strong id="mrs_01_1451__b617165301720">SPATIAL_INDEX.</strong><em id="mrs_01_1451__i52225381711">xxx</em><strong id="mrs_01_1451__b322165317174">.maxLongitude</strong>: specifies the maximum longitude. (<strong id="mrs_01_1451__b22317530178">Double</strong> type.)</li><li id="mrs_01_1451__li8266133501013"><strong id="mrs_01_1451__b53917581818">SPATIAL_INDEX.</strong><em id="mrs_01_1451__i164414518188">xxx</em><strong id="mrs_01_1451__b3454518185">.minLatitude</strong>: specifies the minimum latitude. (<strong id="mrs_01_1451__b124617581815">Double</strong> type.)</li><li id="mrs_01_1451__li1726623521019"><strong id="mrs_01_1451__b191379136187">SPATIAL_INDEX.</strong><em id="mrs_01_1451__i11138513171818">xxx</em><strong id="mrs_01_1451__b10139713181810">.maxLatitude</strong>: specifies the maximum latitude. (<strong id="mrs_01_1451__b1213971316181">Double</strong> type.)</li><li id="mrs_01_1451__li1685232110299"><strong id="mrs_01_1451__b1720152111815">SPATIAL_INDEX.</strong><em id="mrs_01_1451__i10726021201816">xxx</em><strong id="mrs_01_1451__b1972718218187">.conversionRatio</strong>: used to convert the small value of the longitude and latitude to an integer. (<strong id="mrs_01_1451__b15727021111811">Int</strong> type.)</li></ul>
+<p id="mrs_01_1451__p1680506822">You can add your own table properties to the handlers in the above format and access them in your custom implementation class. <strong id="mrs_01_1451__b22751423018">originLatitude</strong>, <strong id="mrs_01_1451__b74831280309">gridSize</strong>, and <strong id="mrs_01_1451__b1263418100306">conversionRatio</strong> are mandatory. Other parameters are optional in Carbon. You can use the <strong id="mrs_01_1451__b957583441819">SPATIAL_INDEX.</strong><em id="mrs_01_1451__i1458143418186">xxx</em><strong id="mrs_01_1451__b7582934151817">.class</strong> property to specify their implementation classes.</p>
+<p id="mrs_01_1451__p118051864211">The default implementation class can generate handler column values for <strong id="mrs_01_1451__b393714481810">sourcecolumns</strong> in each row and support query based on the <strong id="mrs_01_1451__b99421644181814">sourcecolumns</strong> filter criteria. The generated handler column is invisible to users. Except the <strong id="mrs_01_1451__b145874931817">SORT_COLUMNS</strong> table properties, no DDL commands or properties are allowed to contain the handler column.</p>
+<div class="note" id="mrs_01_1451__note105202511118"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1451__ul75885414578"><li id="mrs_01_1451__li135835475710">By default, the generated handler column is regarded as the sorting column. If <strong id="mrs_01_1451__b17379115261814">SORT_COLUMNS</strong> does not contain any <strong id="mrs_01_1451__b17379952141812">sourcecolumns</strong>, add the handler column to the end of the existing <strong id="mrs_01_1451__b33801152101819">SORT_COLUMNS</strong>. If the handler column has been specified in <strong id="mrs_01_1451__b83580548188">SORT_COLUMNS</strong>, its order in <strong id="mrs_01_1451__b3359115412180">SORT_COLUMNS</strong> remains unchanged.</li><li id="mrs_01_1451__li158175413570">If <strong id="mrs_01_1451__b547445514180">SORT_COLUMNS</strong> contains any <strong id="mrs_01_1451__b174757557183">sourcecolumns</strong> but does not contain the handler column, the handler column is automatically inserted before <strong id="mrs_01_1451__b1547511551185">sourcecolumns</strong> in <strong id="mrs_01_1451__b14476655141812">SORT_COLUMNS</strong>.</li><li id="mrs_01_1451__li3581554125712">If <strong id="mrs_01_1451__b14181115971813">SORT_COLUMNS</strong> needs to contain any <strong id="mrs_01_1451__b1318665941811">sourcecolumns</strong>, ensure that the handler column is listed before the <strong id="mrs_01_1451__b20187165916181">sourcecolumns</strong> so that the handler column can take effect during sorting.</li></ul>
+</div></div>
+</div>
+<p id="mrs_01_1451__p3815653111"><strong id="mrs_01_1451__b5224146134111">GeoSOT encoding</strong>:</p>
+<pre class="screen" id="mrs_01_1451__screen14877191318116">CREATE TABLE carbontable(
+...
+longitude DOUBLE,
+latitude DOUBLE,
+...)
+STORED AS carbondata
+TBLPROPERTIES ('SPATIAL_INDEX'='xxx',
+'SPATIAL_INDEX.xxx.type'='geosot',
+'SPATIAL_INDEX.xxx.sourcecolumns'='longitude, latitude',
+'SPATIAL_INDEX.xxx.level'='21',
+'SPATIAL_INDEX.xxx.class'='org.apache.carbondata.geo.GeoSOTIndex')</pre>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1451__table14618195955712" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1451__row10618105915573"><th align="left" class="cellrowborder" valign="top" width="35%" id="mcps1.3.6.2.3.1.1"><p id="mrs_01_1451__p561865910579">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="65%" id="mcps1.3.6.2.3.1.2"><p id="mrs_01_1451__p11618159125713">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1451__row126181459165718"><td class="cellrowborder" valign="top" width="35%" headers="mcps1.3.6.2.3.1.1 "><p id="mrs_01_1451__p14618185910574">SPATIAL_INDEX</p>
+</td>
+<td class="cellrowborder" valign="top" width="65%" headers="mcps1.3.6.2.3.1.2 "><p id="mrs_01_1451__p66181159125714">Specifies the spatial index. Its value is the same as the column name.</p>
+</td>
+</tr>
+<tr id="mrs_01_1451__row86741112145819"><td class="cellrowborder" valign="top" width="35%" headers="mcps1.3.6.2.3.1.1 "><p id="mrs_01_1451__p1367411215585">SPATIAL_INDEX.xxx.type</p>
+</td>
+<td class="cellrowborder" valign="top" width="65%" headers="mcps1.3.6.2.3.1.2 "><p id="mrs_01_1451__p136741312175817">(Mandatory) The value is set to <strong id="mrs_01_1451__b1725982413539">geosot</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1451__row314910910016"><td class="cellrowborder" valign="top" width="35%" headers="mcps1.3.6.2.3.1.1 "><p id="mrs_01_1451__p914999309">SPATIAL_INDEX.xxx.sourcecolumns</p>
+</td>
+<td class="cellrowborder" valign="top" width="65%" headers="mcps1.3.6.2.3.1.2 "><p id="mrs_01_1451__p1214949309">(Mandatory) Specifies the source columns for calculating the spatial index. The value must be two existing columns of the double type.</p>
+</td>
+</tr>
+<tr id="mrs_01_1451__row028411481808"><td class="cellrowborder" valign="top" width="35%" headers="mcps1.3.6.2.3.1.1 "><p id="mrs_01_1451__p12284648108">SPATIAL_INDEX.xxx.level</p>
+</td>
+<td class="cellrowborder" valign="top" width="65%" headers="mcps1.3.6.2.3.1.2 "><p id="mrs_01_1451__p172855481806">(Optional) Specifies the columns for calculating the spatial index. The default value is <strong id="mrs_01_1451__b929318293011">17</strong>, through which you can obtain an accurate result and improve the computing performance.</p>
+</td>
+</tr>
+<tr id="mrs_01_1451__row04513202117"><td class="cellrowborder" valign="top" width="35%" headers="mcps1.3.6.2.3.1.1 "><p id="mrs_01_1451__p54512201312">SPATIAL_INDEX.xxx.class</p>
+</td>
+<td class="cellrowborder" valign="top" width="65%" headers="mcps1.3.6.2.3.1.2 "><p id="mrs_01_1451__p14511420618">(Optional) Specifies the implementation class of GeoSOT. The default value is <strong id="mrs_01_1451__b49841233493">org.apache.carbondata.geo.GeoSOTIndex</strong>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1451__p148887214414">Example:</p>
+<pre class="screen" id="mrs_01_1451__screen35661727130">create table geosot(
+timevalue bigint,
+longitude double,
+latitude double)
+stored as carbondata
+TBLPROPERTIES ('SPATIAL_INDEX'='mygeosot',
+'SPATIAL_INDEX.mygeosot.type'='geosot',
+'SPATIAL_INDEX.mygeosot.level'='21', 'SPATIAL_INDEX.mygeosot.sourcecolumns'='longitude, latitude');</pre>
+<div class="section" id="mrs_01_1451__section106234720257"><a name="mrs_01_1451__section106234720257"></a><a name="section106234720257"></a><h4 class="sectiontitle">Preparing Data</h4><ul id="mrs_01_1451__ul83916351347"><li id="mrs_01_1451__li20391735546">Data file 1: <strong id="mrs_01_1451__b11175114113537">geosotdata.csv</strong><pre class="screen" id="mrs_01_1451__screen1747151713413">timevalue,longitude,latitude
+1575428400000,116.285807,40.084087
+1575428400000,116.372142,40.129503
+1575428400000,116.187332,39.979316
+1575428400000,116.337069,39.951887
+1575428400000,116.359102,40.154684
+1575428400000,116.736367,39.970323
+1575428400000,116.720179,40.009893
+1575428400000,116.346961,40.13355
+1575428400000,116.302895,39.930753
+1575428400000,116.288955,39.999101
+1575428400000,116.17609,40.129953
+1575428400000,116.725575,39.981115
+1575428400000,116.266922,40.179415
+1575428400000,116.353706,40.156483
+1575428400000,116.362699,39.942444
+1575428400000,116.325378,39.963129</pre>
+</li><li id="mrs_01_1451__li159823404410">Data file 2: <strong id="mrs_01_1451__b7126754195316">geosotdata2.csv</strong><pre class="screen" id="mrs_01_1451__screen668872819411">timevalue,longitude,latitude
+1575428400000,120.17708,30.326882
+1575428400000,120.180685,30.326327
+1575428400000,120.184976,30.327105
+1575428400000,120.189311,30.327549
+1575428400000,120.19446,30.329698
+1575428400000,120.186965,30.329133
+1575428400000,120.177481,30.328911
+1575428400000,120.169713,30.325614
+1575428400000,120.164563,30.322243
+1575428400000,120.171558,30.319613
+1575428400000,120.176365,30.320687
+1575428400000,120.179669,30.323688
+1575428400000,120.181001,30.320761
+1575428400000,120.187094,30.32354
+1575428400000,120.193574,30.323651
+1575428400000,120.186192,30.320132
+1575428400000,120.190055,30.317464
+1575428400000,120.195376,30.318094
+1575428400000,120.160786,30.317094
+1575428400000,120.168211,30.318057
+1575428400000,120.173618,30.316612
+1575428400000,120.181001,30.317316
+1575428400000,120.185162,30.315908
+1575428400000,120.192415,30.315871
+1575428400000,120.161902,30.325614
+1575428400000,120.164306,30.328096
+1575428400000,120.197093,30.325985
+1575428400000,120.19602,30.321651
+1575428400000,120.198638,30.32354
+1575428400000,120.165421,30.314834</pre>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1451__section154085230516"><h4 class="sectiontitle">Importing Data</h4><p id="mrs_01_1451__p1805116322">The GeoHash default implementation class extends the customized index abstract class. If the handler property is not set to a customized implementation class, the default implementation class is used. You can extend the default implementation class to mount the customized implementation class of <strong id="mrs_01_1451__b143238319193">geohash</strong>. The methods of the customized index abstract class are as follows:</p>
+<ul id="mrs_01_1451__ul19771651181117"><li id="mrs_01_1451__li1997795171113"><strong id="mrs_01_1451__b595818451918">Init</strong> method: Used to extract, verify, and store the handler property. If the operation fails, the system throws an exception and displays the error information.</li><li id="mrs_01_1451__li1997713513118"><strong id="mrs_01_1451__b17362676192">Generate</strong> method: Used to generate indexes. It generates an index for each row of data.</li><li id="mrs_01_1451__li2977051201119"><strong id="mrs_01_1451__b156234931917">Query</strong> method: Used to generate an index value range list for given input.</li></ul>
+<p id="mrs_01_1451__p13547171236">The commands for importing data are the same as those for importing common Carbon tables.</p>
+<p id="mrs_01_1451__p1607957163519"><strong id="mrs_01_1451__b73351144989">LOAD DATA inpath '/tmp/</strong><em id="mrs_01_1451__i178415479810">geosotdata.csv</em><strong id="mrs_01_1451__b1933517441789">' INTO TABLE geosot OPTIONS ('DELIMITER'= ',');</strong></p>
+<p id="mrs_01_1451__p1955613253615"><strong id="mrs_01_1451__b1731512818">LOAD DATA inpath '/tmp/</strong><em id="mrs_01_1451__i14528205214816">geosotdata2.csv</em><strong id="mrs_01_1451__b5731351388">' INTO TABLE geosot OPTIONS ('DELIMITER'= ',');</strong></p>
+<div class="note" id="mrs_01_1451__note3554154619187"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1451__p15554746191812">For details about <strong id="mrs_01_1451__b412924716147">geosotdata.csv</strong> and <strong id="mrs_01_1451__b18255165118144">geosotdata2.csv</strong>, see <a href="#mrs_01_1451__section106234720257">Preparing Data</a>.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1451__section36551435857"><h4 class="sectiontitle">Aggregate Query of Irregular Spatial Sets</h4><div class="p" id="mrs_01_1451__p97270195192"><strong id="mrs_01_1451__b11869104063115">Query statements and filter UDFs</strong><ul id="mrs_01_1451__ul656932971917"><li id="mrs_01_1451__li132771451191310">Filtering data based on polygon<p id="mrs_01_1451__p4878183961412"><a name="mrs_01_1451__li132771451191310"></a><a name="li132771451191310"></a><strong id="mrs_01_1451__b1095772801412">IN_POLYGON(pointList)</strong></p>
+<p id="mrs_01_1451__p3843163331613">UDF input parameter</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1451__table1273981212157" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1451__row97396129151"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.2.2.1.3.1.4.1.1"><p id="mrs_01_1451__p3739212161512">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="24.97%" id="mcps1.3.11.2.2.1.3.1.4.1.2"><p id="mrs_01_1451__p1173919124150">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50.029999999999994%" id="mcps1.3.11.2.2.1.3.1.4.1.3"><p id="mrs_01_1451__p9739191281511">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1451__row1473991210152"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.2.2.1.3.1.4.1.1 "><p id="mrs_01_1451__p11740161220156">pointList</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.97%" headers="mcps1.3.11.2.2.1.3.1.4.1.2 "><p id="mrs_01_1451__p374061211519">String</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.029999999999994%" headers="mcps1.3.11.2.2.1.3.1.4.1.3 "><p id="mrs_01_1451__p145251185617">Enter multiple points as a string. Each point is presented as <strong id="mrs_01_1451__b642120567910">longitude latitude</strong>. Longitude and latitude are separated by a space. Each pair of longitude and latitude is separated by a comma (,). The longitude and latitude values at the start and end of the string must be the same.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1451__p13779243111620">UDF output parameter</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1451__table392171341714" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1451__row119219131170"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.2.2.1.5.1.4.1.1"><p id="mrs_01_1451__p192181381710">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.2.2.1.5.1.4.1.2"><p id="mrs_01_1451__p189210131179">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.11.2.2.1.5.1.4.1.3"><p id="mrs_01_1451__p19921513121711">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1451__row17922191391714"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.2.2.1.5.1.4.1.1 "><p id="mrs_01_1451__p29222013191716">inOrNot</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.2.2.1.5.1.4.1.2 "><p id="mrs_01_1451__p492261361711">Boolean</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.2.2.1.5.1.4.1.3 "><p id="mrs_01_1451__p12922313171719">Checks whether data is in the specified <strong id="mrs_01_1451__b17843175978">polygon_list</strong>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1451__p127499366174">Example:</p>
+<pre class="screen" id="mrs_01_1451__screen73317301493">select longitude, latitude from geosot where IN_POLYGON('116.321011 40.123503, 116.137676 39.947911, 116.560993 39.935276, 116.321011 40.123503');</pre>
+<p id="mrs_01_1451__p154354034820"></p>
+</li><li id="mrs_01_1451__li1156919298191">Filtering data based on the polygon list<p id="mrs_01_1451__p1434343811242"><a name="mrs_01_1451__li1156919298191"></a><a name="li1156919298191"></a><strong id="mrs_01_1451__b20343143815248">IN_POLYGON_LIST(polygonList, opType)</strong></p>
+<p id="mrs_01_1451__p3469142616258">UDF input parameters</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1451__table1442210262257" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1451__row1146992616256"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.2.2.2.3.1.4.1.1"><p id="mrs_01_1451__p946962618258">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.2.2.2.3.1.4.1.2"><p id="mrs_01_1451__p1046912692511">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.11.2.2.2.3.1.4.1.3"><p id="mrs_01_1451__p44691826152516">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1451__row34692262254"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.2.2.2.3.1.4.1.1 "><p id="mrs_01_1451__p1946972602513">polygonList</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.2.2.2.3.1.4.1.2 "><p id="mrs_01_1451__p7469826182513">String</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.2.2.2.3.1.4.1.3 "><p id="mrs_01_1451__p1469152642512">Inputs multiple polygons as a string. Each polygon is presented as <strong id="mrs_01_1451__b63231424718">POLYGON ((longitude1 latitude1, longitude2 latitude2, …))</strong>. Note that there is a space after <strong id="mrs_01_1451__b891975516457">POLYGON</strong>. Longitudes and latitudes are separated by spaces. Each pair of longitude and latitude is separated by a comma (,). The longitudes and latitudes at the start and end of a polygon must be the same. <strong id="mrs_01_1451__b213131611589">IN_POLYGON_LIST</strong> requires at least two polygons.</p>
+<p id="mrs_01_1451__p1546972662510">Example:</p>
+<pre class="screen" id="mrs_01_1451__screen1537216491377">POLYGON ((116.137676 40.163503, 116.137676 39.935276, 116.560993 39.935276, 116.137676 40.163503))</pre>
+</td>
+</tr>
+<tr id="mrs_01_1451__row1746992618259"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.2.2.2.3.1.4.1.1 "><p id="mrs_01_1451__p10469132614255">opType</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.2.2.2.3.1.4.1.2 "><p id="mrs_01_1451__p204696266259">String</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.2.2.2.3.1.4.1.3 "><p id="mrs_01_1451__p18469112682519">Performs union, intersection, and subtraction on multiple polygons.</p>
+<p id="mrs_01_1451__p20469112617252">Currently, the following operation types are supported:</p>
+<ul id="mrs_01_1451__ul14469162642517"><li id="mrs_01_1451__li16469192652514">OR: A U B U C (Assume that three polygons A, B, and C are input.)</li><li id="mrs_01_1451__li1546914266257">AND: A ∩ B ∩ C</li></ul>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1451__p8469102616251">UDF output parameter</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1451__table11437122652513" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1451__row1446972611257"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.2.2.2.5.1.4.1.1"><p id="mrs_01_1451__p15469026192516">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.2.2.2.5.1.4.1.2"><p id="mrs_01_1451__p17469426172516">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.11.2.2.2.5.1.4.1.3"><p id="mrs_01_1451__p4469192682517">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1451__row1746916269255"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.2.2.2.5.1.4.1.1 "><p id="mrs_01_1451__p124691726142514">inOrNot</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.2.2.2.5.1.4.1.2 "><p id="mrs_01_1451__p1546919267251">Boolean</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.2.2.2.5.1.4.1.3 "><p id="mrs_01_1451__p15469726132515">Checks whether data is in the specified <strong id="mrs_01_1451__b520567458">polygon_list</strong>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1451__p1746952652511">Example:</p>
+<pre class="screen" id="mrs_01_1451__screen9104105555512">select longitude, latitude from geosot where IN_POLYGON_LIST('POLYGON ((120.176433 30.327431,120.171283 30.322245,120.181411 30.314540, 120.190509 30.321653,120.185188 30.329358,120.176433 30.327431)), POLYGON ((120.191603 30.328946,120.184179 30.327465,120.181819 30.321464, 120.190359 30.315388,120.199242 30.324464,120.191603 30.328946))', 'OR');</pre>
+<p id="mrs_01_1451__p1189411383117"></p>
+</li><li id="mrs_01_1451__li145691829141916">Filtering data based on the polyline list<p id="mrs_01_1451__p136716443115"><a name="mrs_01_1451__li145691829141916"></a><a name="li145691829141916"></a><strong id="mrs_01_1451__b267154143114">IN_POLYLINE_LIST(polylineList, bufferInMeter)</strong></p>
+<p id="mrs_01_1451__p2067194143114">UDF input parameters</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1451__table06104415313" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1451__row567216483119"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.2.2.3.3.1.4.1.1"><p id="mrs_01_1451__p1567215493117">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.2.2.3.3.1.4.1.2"><p id="mrs_01_1451__p367214193110">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.11.2.2.3.3.1.4.1.3"><p id="mrs_01_1451__p136721748312">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1451__row36725493119"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.2.2.3.3.1.4.1.1 "><p id="mrs_01_1451__p76721642311">polylineList</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.2.2.3.3.1.4.1.2 "><p id="mrs_01_1451__p46728419317">String</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.2.2.3.3.1.4.1.3 "><p id="mrs_01_1451__p146721414318">Inputs multiple polylines as a string. Each polyline is presented as <strong id="mrs_01_1451__b8749172713715">LINESTRING (longitude1 latitude1, longitude2 latitude2, …)</strong>. Note that there is a space after <strong id="mrs_01_1451__b167851458121212">LINESTRING</strong>. Longitudes and latitudes are separated by spaces. Each pair of longitude and latitude is separated by a comma (,).</p>
+<p id="mrs_01_1451__p19672154123110">A union will be output based on the data in multiple polylines.</p>
+<p id="mrs_01_1451__p166720420316">Example:</p>
+<pre class="screen" id="mrs_01_1451__screen72093514711">LINESTRING (116.137676 40.163503, 116.137676 39.935276, 116.260993 39.935276)</pre>
+</td>
+</tr>
+<tr id="mrs_01_1451__row467213413315"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.2.2.3.3.1.4.1.1 "><p id="mrs_01_1451__p867220411316">bufferInMeter</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.2.2.3.3.1.4.1.2 "><p id="mrs_01_1451__p1467213413117">Float</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.2.2.3.3.1.4.1.3 "><p id="mrs_01_1451__p136721946311">Polyline buffer distance, in meters. Right angles are used at the end to create a buffer.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1451__p067213413115">UDF output parameter</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1451__table12618542319" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1451__row196724419312"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.2.2.3.5.1.4.1.1"><p id="mrs_01_1451__p267214413318">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.2.2.3.5.1.4.1.2"><p id="mrs_01_1451__p66721473117">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.11.2.2.3.5.1.4.1.3"><p id="mrs_01_1451__p66727419314">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1451__row767217415317"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.2.2.3.5.1.4.1.1 "><p id="mrs_01_1451__p5672134123120">inOrNot</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.2.2.3.5.1.4.1.2 "><p id="mrs_01_1451__p136721347315">Boolean</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.2.2.3.5.1.4.1.3 "><p id="mrs_01_1451__p20672204193115">Checks whether data is in the specified <strong id="mrs_01_1451__b4262161118312">polyline_list</strong>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1451__p1167213443119">Example:</p>
+<pre class="screen" id="mrs_01_1451__screen968932935714">select longitude, latitude from geosot where IN_POLYLINE_LIST('LINESTRING (120.184179 30.327465, 120.191603 30.328946, 120.199242 30.324464, 120.190359 30.315388)', 65);</pre>
+</li><li id="mrs_01_1451__li056912294195">Filtering data based on the GeoID range list<p id="mrs_01_1451__p156726453119"><a name="mrs_01_1451__li056912294195"></a><a name="li056912294195"></a><strong id="mrs_01_1451__b206724411317">IN_POLYGON_RANGE_LIST(polygonRangeList, opType)</strong></p>
+<div class="p" id="mrs_01_1451__p196724414317">UDF input parameters
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1451__table2620104113117" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1451__row156725433111"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.2.2.4.2.1.1.4.1.1"><p id="mrs_01_1451__p156721945314">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.2.2.4.2.1.1.4.1.2"><p id="mrs_01_1451__p36723411318">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.11.2.2.4.2.1.1.4.1.3"><p id="mrs_01_1451__p2672442317">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1451__row26721245313"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.2.2.4.2.1.1.4.1.1 "><p id="mrs_01_1451__p1967216443110">polygonRangeList</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.2.2.4.2.1.1.4.1.2 "><p id="mrs_01_1451__p126721041315">String</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.2.2.4.2.1.1.4.1.3 "><p id="mrs_01_1451__p106728411311">Inputs multiple rangeLists as a string. Each rangeList is presented as <strong id="mrs_01_1451__b646425920810">RANGELIST (startGeoId1 endGeoId1, startGeoId2 endGeoId2, …)</strong>. Note that there is a space after <strong id="mrs_01_1451__b639514815376">RANGELIST</strong>. Start GeoIDs and end GeoIDs are separated by spaces. Each group of GeoID ranges is separated by a comma (,).</p>
+<p id="mrs_01_1451__p367219410312">Example:</p>
+<pre class="screen" id="mrs_01_1451__screen32915331892">RANGELIST (855279368848 855279368850, 855280799610 855280799612, 855282156300 855282157400)</pre>
+</td>
+</tr>
+<tr id="mrs_01_1451__row167217413312"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.2.2.4.2.1.1.4.1.1 "><p id="mrs_01_1451__p06721746318">opType</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.2.2.4.2.1.1.4.1.2 "><p id="mrs_01_1451__p1567274183117">String</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.2.2.4.2.1.1.4.1.3 "><p id="mrs_01_1451__p1967211483112">Performs union, intersection, and subtraction on multiple rangeLists.</p>
+<p id="mrs_01_1451__p36722410310">Currently, the following operation types are supported:</p>
+<ul id="mrs_01_1451__ul1672944310"><li id="mrs_01_1451__li146729418314">OR: A U B U C (Assume that three rangeLists A, B, and C are input.)</li><li id="mrs_01_1451__li1467224133111">AND: A ∩ B ∩ C</li></ul>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<p id="mrs_01_1451__p136720423111">UDF output parameter</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1451__table136281343312" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1451__row567214453118"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.2.2.4.4.1.4.1.1"><p id="mrs_01_1451__p15672104173117">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.2.2.4.4.1.4.1.2"><p id="mrs_01_1451__p46721047314">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.11.2.2.4.4.1.4.1.3"><p id="mrs_01_1451__p18672174133116">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1451__row76727413112"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.2.2.4.4.1.4.1.1 "><p id="mrs_01_1451__p10672174113114">inOrNot</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.2.2.4.4.1.4.1.2 "><p id="mrs_01_1451__p16725417319">Boolean</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.2.2.4.4.1.4.1.3 "><p id="mrs_01_1451__p196723410319">Checks whether data is in the specified <strong id="mrs_01_1451__b341623474217">polyRange_list</strong>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1451__p1467219415312">Example:</p>
+<pre class="screen" id="mrs_01_1451__screen198313715816">select mygeosot, longitude, latitude from geosot where IN_POLYGON_RANGE_LIST('RANGELIST (526549722865860608 526549722865860618, 532555655580483584 532555655580483594)', 'OR');</pre>
+</li></ul>
+</div>
+<ul id="mrs_01_1451__ul3777344012"><li id="mrs_01_1451__li127716341900">Performing polygon query<p id="mrs_01_1451__p9733110131513"><a name="mrs_01_1451__li127716341900"></a><a name="li127716341900"></a><strong id="mrs_01_1451__b1072833551313">IN_POLYGON_JOIN(GEO_HASH_INDEX_COLUMN, POLYGON_COLUMN)</strong></p>
+<p id="mrs_01_1451__p1215320419153">Perform join query on two tables. One is a spatial data table containing the longitude, latitude, and GeoHashIndex columns, and the other is a dimension table that saves polygon data.</p>
+<p id="mrs_01_1451__p9153741201511">During query, <strong id="mrs_01_1451__b240718383560">IN_POLYGON_JOIN UDF</strong>, <strong id="mrs_01_1451__b17153155316567">GEO_HASH_INDEX_COLUMN</strong>, and <strong id="mrs_01_1451__b1552011560561">POLYGON_COLUMN</strong> of the polygon table are used. <strong id="mrs_01_1451__b5609822165219">Polygon_column</strong> specifies the column containing multiple points (longitude and latitude pairs). The first and last points in each row of the Polygon table must be the same. All points in each row form a closed geometric shape.</p>
+<p id="mrs_01_1451__p19255182812261">UDF input parameters</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1451__table1954085141613" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1451__row1454116531619"><th align="left" class="cellrowborder" valign="top" width="24.97%" id="mcps1.3.11.3.1.5.1.4.1.1"><p id="mrs_01_1451__p65411153160">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25.03%" id="mcps1.3.11.3.1.5.1.4.1.2"><p id="mrs_01_1451__p5541256169">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.11.3.1.5.1.4.1.3"><p id="mrs_01_1451__p1754116510169">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1451__row1254135101617"><td class="cellrowborder" valign="top" width="24.97%" headers="mcps1.3.11.3.1.5.1.4.1.1 "><p id="mrs_01_1451__p1654119516162">GEO_HASH_INDEX_COLUMN</p>
+</td>
+<td class="cellrowborder" valign="top" width="25.03%" headers="mcps1.3.11.3.1.5.1.4.1.2 "><p id="mrs_01_1451__p135412541619">Long</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.3.1.5.1.4.1.3 "><p id="mrs_01_1451__p1754117517167">GeoHashIndex column of the spatial data table.</p>
+</td>
+</tr>
+<tr id="mrs_01_1451__row181831565167"><td class="cellrowborder" valign="top" width="24.97%" headers="mcps1.3.11.3.1.5.1.4.1.1 "><p id="mrs_01_1451__p3184195619163">POLYGON_COLUMN</p>
+</td>
+<td class="cellrowborder" valign="top" width="25.03%" headers="mcps1.3.11.3.1.5.1.4.1.2 "><p id="mrs_01_1451__p161843567167">String</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.3.1.5.1.4.1.3 "><p id="mrs_01_1451__p51841156201619">Polygon column of the polygon table, the value of which is represented by the string of polygon, for example, <strong id="mrs_01_1451__b76641219191311">POLYGON (( longitude1 latitude1, longitude2 latitude2, ...))</strong>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1451__p94831531121711">Example:</p>
+<pre class="screen" id="mrs_01_1451__screen1432623172515">CREATE TABLE polygonTable(
+polygon string,
+poiType string,
+poiId String)
+STORED AS carbondata;
+
+insert into polygonTable select 'POLYGON ((120.176433 30.327431,120.171283 30.322245, 120.181411 30.314540,120.190509 30.321653,120.185188 30.329358,120.176433 30.327431))','abc','1';
+
+insert into polygonTable select 'POLYGON ((120.191603 30.328946,120.184179 30.327465, 120.181819 30.321464,120.190359 30.315388,120.199242 30.324464,120.191603 30.328946))','abc','2';
+
+select t1.longitude,t1.latitude from geosot t1 
+inner join 
+(select polygon,poiId from polygonTable where poitype='abc') t2 
+on in_polygon_join(t1.mygeosot,t2.polygon) group by t1.longitude,t1.latitude;</pre>
+<p id="mrs_01_1451__p01911077499"></p>
+</li><li id="mrs_01_1451__li3826275413">Performing range_list query<p id="mrs_01_1451__p478602744317"><a name="mrs_01_1451__li3826275413"></a><a name="li3826275413"></a><strong id="mrs_01_1451__b17561423104312">IN_POLYGON_JOIN_RANGE_LIST(GEO_HASH_INDEX_COLUMN, POLYGON_COLUMN)</strong></p>
+<p id="mrs_01_1451__p12442843134313">Use the <strong id="mrs_01_1451__b864017755820">IN_POLYGON_JOIN_RANGE_LIST</strong> UDF to associate the spatial data table with the polygon dimension table based on <strong id="mrs_01_1451__b734665016517">Polygon_RangeList</strong>. By using a range list, you can skip the conversion between a polygon and a range list.</p>
+<p id="mrs_01_1451__p410961724913">UDF input parameters</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1451__table174241417194910" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1451__row342431744917"><th align="left" class="cellrowborder" valign="top" width="24.97%" id="mcps1.3.11.3.2.4.1.4.1.1"><p id="mrs_01_1451__p2042411711492">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25.03%" id="mcps1.3.11.3.2.4.1.4.1.2"><p id="mrs_01_1451__p15424181774919">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.11.3.2.4.1.4.1.3"><p id="mrs_01_1451__p12424417114916">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1451__row1342412177493"><td class="cellrowborder" valign="top" width="24.97%" headers="mcps1.3.11.3.2.4.1.4.1.1 "><p id="mrs_01_1451__p142417174498">GEO_HASH_INDEX_COLUMN</p>
+</td>
+<td class="cellrowborder" valign="top" width="25.03%" headers="mcps1.3.11.3.2.4.1.4.1.2 "><p id="mrs_01_1451__p34241117174919">Long</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.3.2.4.1.4.1.3 "><p id="mrs_01_1451__p13424171774911">GeoHashIndex column of the spatial data table.</p>
+</td>
+</tr>
+<tr id="mrs_01_1451__row44255178498"><td class="cellrowborder" valign="top" width="24.97%" headers="mcps1.3.11.3.2.4.1.4.1.1 "><p id="mrs_01_1451__p1242551713497">POLYGON_COLUMN</p>
+</td>
+<td class="cellrowborder" valign="top" width="25.03%" headers="mcps1.3.11.3.2.4.1.4.1.2 "><p id="mrs_01_1451__p1342581719495">String</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.3.2.4.1.4.1.3 "><p id="mrs_01_1451__p188011116175012">Rangelist column of the Polygon table, the value of which is represented by the string of rangeList, for example, <strong id="mrs_01_1451__b19617914135">RANGELIST (startGeoId1 endGeoId1, startGeoId2 endGeoId2, ...)</strong>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1451__p644219263502">Example:</p>
+<pre class="screen" id="mrs_01_1451__screen03311258102416">CREATE TABLE polygonTable(
+polygon string,
+poiType string,
+poiId String)
+STORED AS carbondata;
+
+insert into polygonTable select 'RANGELIST (526546455897309184 526546455897309284, 526549831217315840 526549831217315850, 532555655580483534 532555655580483584)','xyz','2';
+
+select t1.*
+from geosot t1
+inner join
+(select polygon,poiId from polygonTable where poitype='xyz') t2
+on in_polygon_join_range_list(t1.mygeosot,t2.polygon);</pre>
+<p id="mrs_01_1451__p1572747538"></p>
+</li></ul>
+<div class="p" id="mrs_01_1451__p4650174141916"><strong id="mrs_01_1451__b1093816335414">UDFs of spacial index tools</strong><ul id="mrs_01_1451__ul16594791915"><li id="mrs_01_1451__li126514711193">Obtaining row number and column number of a grid converted from GeoID<p id="mrs_01_1451__p152416113333"><a name="mrs_01_1451__li126514711193"></a><a name="li126514711193"></a><strong id="mrs_01_1451__b15241511335">GeoIdToGridXy(geoId)</strong></p>
+<p id="mrs_01_1451__p16524012336">UDF input parameter</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1451__table113941114331" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1451__row7525619336"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.1.3.1.4.1.1"><p id="mrs_01_1451__p15525191113316">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.1.3.1.4.1.2"><p id="mrs_01_1451__p135258120330">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.11.4.2.1.3.1.4.1.3"><p id="mrs_01_1451__p35251512333">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1451__row1352519117335"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.1.3.1.4.1.1 "><p id="mrs_01_1451__p05253153317">geoId</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.1.3.1.4.1.2 "><p id="mrs_01_1451__p95254112334">Long</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.4.2.1.3.1.4.1.3 "><p id="mrs_01_1451__p135251012339">Calculates the row number and column number of the grid based on GeoID.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1451__p3525151153318">UDF output parameter</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1451__table2401191123312" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1451__row1152517193311"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.1.5.1.4.1.1"><p id="mrs_01_1451__p10525181113310">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.1.5.1.4.1.2"><p id="mrs_01_1451__p205251814333">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.11.4.2.1.5.1.4.1.3"><p id="mrs_01_1451__p35252163310">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1451__row1552511103317"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.1.5.1.4.1.1 "><p id="mrs_01_1451__p352561183310">gridArray</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.1.5.1.4.1.2 "><p id="mrs_01_1451__p6525141113316">Array[Int]</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.4.2.1.5.1.4.1.3 "><p id="mrs_01_1451__p15525111153314">Returns the grid row and column numbers contained in GeoID in array. The first digit indicates the row number, and the second digit indicates the column number.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1451__p75257118336">Example:</p>
+<pre class="screen" id="mrs_01_1451__screen767104413588">select longitude, latitude, mygeohash, GeoIdToGridXy(mygeohash) as GridXY from geoTable;</pre>
+</li><li id="mrs_01_1451__li126584781917">Converting longitude and latitude to GeoID<p id="mrs_01_1451__p105252193312"><a name="mrs_01_1451__li126584781917"></a><a name="li126584781917"></a><strong id="mrs_01_1451__b125254163311">LatLngToGeoId(latitude, longitude oriLatitude, gridSize)</strong></p>
+<p id="mrs_01_1451__p145251812335">UDF input parameters</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1451__table1040420118339" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1451__row85257114331"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.2.3.1.4.1.1"><p id="mrs_01_1451__p1452581163318">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.2.3.1.4.1.2"><p id="mrs_01_1451__p7525616333">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.11.4.2.2.3.1.4.1.3"><p id="mrs_01_1451__p1352516119331">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1451__row1152591193315"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.2.3.1.4.1.1 "><p id="mrs_01_1451__p195251193319">longitude</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.2.3.1.4.1.2 "><p id="mrs_01_1451__p1952501133312">Long</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.4.2.2.3.1.4.1.3 "><p id="mrs_01_1451__p1525141153318">Longitude. Note: The value is an integer after conversion.</p>
+</td>
+</tr>
+<tr id="mrs_01_1451__row8525911336"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.2.3.1.4.1.1 "><p id="mrs_01_1451__p952517193318">latitude</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.2.3.1.4.1.2 "><p id="mrs_01_1451__p1352515133312">Long</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.4.2.2.3.1.4.1.3 "><p id="mrs_01_1451__p152517153319">Latitude. Note: The value is an integer after conversion.</p>
+</td>
+</tr>
+<tr id="mrs_01_1451__row05251313332"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.2.3.1.4.1.1 "><p id="mrs_01_1451__p252531193318">oriLatitude</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.2.3.1.4.1.2 "><p id="mrs_01_1451__p10525181183311">Double</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.4.2.2.3.1.4.1.3 "><p id="mrs_01_1451__p15254113333">Origin latitude, required for calculating GeoID.</p>
+</td>
+</tr>
+<tr id="mrs_01_1451__row10525121123314"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.2.3.1.4.1.1 "><p id="mrs_01_1451__p252511193314">gridSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.2.3.1.4.1.2 "><p id="mrs_01_1451__p19525181193319">Int</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.4.2.2.3.1.4.1.3 "><p id="mrs_01_1451__p205254114333">Grid size, required for calculating GeoID.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1451__p95252013333">UDF output parameter</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1451__table1340812116331" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1451__row125251813330"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.2.5.1.4.1.1"><p id="mrs_01_1451__p952517103315">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.2.5.1.4.1.2"><p id="mrs_01_1451__p7525181113317">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.11.4.2.2.5.1.4.1.3"><p id="mrs_01_1451__p1752551193318">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1451__row115256193312"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.2.5.1.4.1.1 "><p id="mrs_01_1451__p752561153311">geoId</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.2.5.1.4.1.2 "><p id="mrs_01_1451__p155255113318">Long</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.4.2.2.5.1.4.1.3 "><p id="mrs_01_1451__p17525111193317">Returns a number that indicates the longitude and latitude after coding.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1451__p152511153312">Example:</p>
+<pre class="screen" id="mrs_01_1451__screen0661181714590">select longitude, latitude, mygeohash, LatLngToGeoId(latitude, longitude, 39.832277, 50) as geoId from geoTable;</pre>
+</li><li id="mrs_01_1451__li1965194731911">Converting GeoID to longitude and latitude<p id="mrs_01_1451__p7525111143311"><a name="mrs_01_1451__li1965194731911"></a><a name="li1965194731911"></a><strong id="mrs_01_1451__b175258119336">GeoIdToLatLng(geoId, oriLatitude, gridSize)</strong></p>
+<p id="mrs_01_1451__p352501133313">UDF input parameters</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1451__table84101116335" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1451__row5525181193318"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.3.3.1.4.1.1"><p id="mrs_01_1451__p175257183310">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.3.3.1.4.1.2"><p id="mrs_01_1451__p35253112332">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.11.4.2.3.3.1.4.1.3"><p id="mrs_01_1451__p252517123318">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1451__row1052510119334"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.3.3.1.4.1.1 "><p id="mrs_01_1451__p13525611336">geoId</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.3.3.1.4.1.2 "><p id="mrs_01_1451__p952519117337">Long</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.4.2.3.3.1.4.1.3 "><p id="mrs_01_1451__p14525919337">Calculates the longitude and latitude based on GeoID.</p>
+</td>
+</tr>
+<tr id="mrs_01_1451__row1052551193310"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.3.3.1.4.1.1 "><p id="mrs_01_1451__p105255112334">oriLatitude</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.3.3.1.4.1.2 "><p id="mrs_01_1451__p16525218335">Double</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.4.2.3.3.1.4.1.3 "><p id="mrs_01_1451__p1852519173314">Origin latitude, required for calculating the longitude and latitude.</p>
+</td>
+</tr>
+<tr id="mrs_01_1451__row1052591183317"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.3.3.1.4.1.1 "><p id="mrs_01_1451__p1952518153314">gridSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.3.3.1.4.1.2 "><p id="mrs_01_1451__p2525101193317">Int</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.4.2.3.3.1.4.1.3 "><p id="mrs_01_1451__p75256113317">Grid size, required for calculating the longitude and latitude.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_1451__note19981124119"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1451__p35477281118">GeoID is generated based on the grid coordinates, which are the grid center. Therefore, the calculated longitude and latitude are the longitude and latitude of the grid center. There may be an error ranging from 0 degree to half of the grid size between the calculated longitude and latitude and the longitude and latitude of the generated GeoID.</p>
+</div></div>
+<p id="mrs_01_1451__p352501203316">UDF output parameter</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1451__table14413818338" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1451__row155253117336"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.3.6.1.4.1.1"><p id="mrs_01_1451__p1352541173310">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.3.6.1.4.1.2"><p id="mrs_01_1451__p25250193318">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.11.4.2.3.6.1.4.1.3"><p id="mrs_01_1451__p952512153317">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1451__row352518163310"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.3.6.1.4.1.1 "><p id="mrs_01_1451__p15269153315">latitudeAndLongitude</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.3.6.1.4.1.2 "><p id="mrs_01_1451__p75261110331">Array[Double]</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.4.2.3.6.1.4.1.3 "><p id="mrs_01_1451__p18526141103311">Returns the longitude and latitude coordinates of the grid center that represent the GeoID in array. The first digit indicates the latitude, and the second digit indicates the longitude.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1451__p4526191113313">Example:</p>
+<pre class="screen" id="mrs_01_1451__screen08391112212">select longitude, latitude, mygeohash, GeoIdToLatLng(mygeohash, 39.832277, 50) as LatitudeAndLongitude from geoTable;</pre>
+</li><li id="mrs_01_1451__li11651047191911">Calculating the upper-layer GeoID of the pyramid model<p id="mrs_01_1451__p1852681143320"><a name="mrs_01_1451__li11651047191911"></a><a name="li11651047191911"></a><strong id="mrs_01_1451__b3526114338">ToUpperLayerGeoId(geoId)</strong></p>
+<p id="mrs_01_1451__p1952617163314">UDF input parameter</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1451__table144151116333" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1451__row7526715338"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.4.3.1.4.1.1"><p id="mrs_01_1451__p20526914334">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.4.3.1.4.1.2"><p id="mrs_01_1451__p16526518337">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.11.4.2.4.3.1.4.1.3"><p id="mrs_01_1451__p35267117337">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1451__row2526101133310"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.4.3.1.4.1.1 "><p id="mrs_01_1451__p25261810331">geoId</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.4.3.1.4.1.2 "><p id="mrs_01_1451__p105261410337">Long</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.4.2.4.3.1.4.1.3 "><p id="mrs_01_1451__p652621183317">Calculates the upper-layer GeoID of the pyramid model based on the input GeoID.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1451__p15526121153312">UDF output parameter</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1451__table1941717114331" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1451__row1652612193315"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.4.5.1.4.1.1"><p id="mrs_01_1451__p95267123318">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.4.5.1.4.1.2"><p id="mrs_01_1451__p15526181163315">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.11.4.2.4.5.1.4.1.3"><p id="mrs_01_1451__p452613118336">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1451__row452614113334"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.4.5.1.4.1.1 "><p id="mrs_01_1451__p17526131143318">geoId</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.4.5.1.4.1.2 "><p id="mrs_01_1451__p4526121193310">Long</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.4.2.4.5.1.4.1.3 "><p id="mrs_01_1451__p115261118330">Returns the upper-layer GeoID of the pyramid model.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1451__p452618183312">Example:</p>
+<pre class="screen" id="mrs_01_1451__screen1447218138317">select longitude, latitude, mygeohash, ToUpperLayerGeoId(mygeohash) as upperLayerGeoId from geoTable;</pre>
+</li><li id="mrs_01_1451__li1465144701918">Obtaining the GeoID range list using the input polygon<p id="mrs_01_1451__p135261517338"><a name="mrs_01_1451__li1465144701918"></a><a name="li1465144701918"></a><strong id="mrs_01_1451__b8526515337">ToRangeList(polygon, oriLatitude, gridSize)</strong></p>
+<p id="mrs_01_1451__p9526161143319">UDF input parameters</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1451__table18420214338" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1451__row185261019332"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.5.3.1.4.1.1"><p id="mrs_01_1451__p1752617183314">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.5.3.1.4.1.2"><p id="mrs_01_1451__p185261019337">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.11.4.2.5.3.1.4.1.3"><p id="mrs_01_1451__p185261616330">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1451__row16526111183313"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.5.3.1.4.1.1 "><p id="mrs_01_1451__p11526111335">polygon</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.5.3.1.4.1.2 "><p id="mrs_01_1451__p952615183314">String</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.4.2.5.3.1.4.1.3 "><p id="mrs_01_1451__p19526121123313">Input polygon string, which is a pair of longitude and latitude.</p>
+<p id="mrs_01_1451__p16526813335">Longitude and latitude are separated by a space. Each pair of longitude and latitude is separated by a comma (,). The longitude and latitude at the start and end must be the same.</p>
+</td>
+</tr>
+<tr id="mrs_01_1451__row652613112339"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.5.3.1.4.1.1 "><p id="mrs_01_1451__p135263133316">oriLatitude</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.5.3.1.4.1.2 "><p id="mrs_01_1451__p252613103316">Double</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.4.2.5.3.1.4.1.3 "><p id="mrs_01_1451__p1252611153312">Origin latitude, required for calculating GeoID.</p>
+</td>
+</tr>
+<tr id="mrs_01_1451__row752613133315"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.5.3.1.4.1.1 "><p id="mrs_01_1451__p1452613113338">gridSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.5.3.1.4.1.2 "><p id="mrs_01_1451__p752610193311">Int</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.4.2.5.3.1.4.1.3 "><p id="mrs_01_1451__p7526151193318">Grid size, required for calculating GeoID.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1451__p1152691193318">UDF output parameter</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1451__table6423817330" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1451__row1752615143317"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.5.5.1.4.1.1"><p id="mrs_01_1451__p4526817338">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.5.5.1.4.1.2"><p id="mrs_01_1451__p1652617133311">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.11.4.2.5.5.1.4.1.3"><p id="mrs_01_1451__p55261517331">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1451__row85268163318"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.5.5.1.4.1.1 "><p id="mrs_01_1451__p16526131143314">geoIdList</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.5.5.1.4.1.2 "><p id="mrs_01_1451__p9526141183315">Buffer[Array[Long]]</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.4.2.5.5.1.4.1.3 "><p id="mrs_01_1451__p35261143318">Converts polygons into GeoID range lists.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1451__p1152616120339">Example:</p>
+<pre class="screen" id="mrs_01_1451__screen179061843337">select ToRangeList('116.321011 40.123503, 116.137676 39.947911, 116.560993 39.935276, 116.321011 40.123503', 39.832277, 50) as rangeList from geoTable;</pre>
+</li><li id="mrs_01_1451__li1665124781912">Calculating the upper-layer longitude of the pyramid model<p id="mrs_01_1451__p55263119331"><a name="mrs_01_1451__li1665124781912"></a><a name="li1665124781912"></a><strong id="mrs_01_1451__b852610115332">ToUpperLongitude (longitude, gridSize, oriLat)</strong></p>
+<p id="mrs_01_1451__p1752661133314">UDF input parameters</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1451__table7425614334" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1451__row052611193312"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.6.3.1.4.1.1"><p id="mrs_01_1451__p85263123317">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.6.3.1.4.1.2"><p id="mrs_01_1451__p6526181113313">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.11.4.2.6.3.1.4.1.3"><p id="mrs_01_1451__p152619110332">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1451__row105261510339"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.6.3.1.4.1.1 "><p id="mrs_01_1451__p45262116335">longitude</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.6.3.1.4.1.2 "><p id="mrs_01_1451__p9526112334">Long</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.4.2.6.3.1.4.1.3 "><p id="mrs_01_1451__p105262143320">Input longitude, which is a long integer.</p>
+</td>
+</tr>
+<tr id="mrs_01_1451__row1526817330"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.6.3.1.4.1.1 "><p id="mrs_01_1451__p125268143315">gridSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.6.3.1.4.1.2 "><p id="mrs_01_1451__p5526171113310">Int</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.4.2.6.3.1.4.1.3 "><p id="mrs_01_1451__p452641133318">Grid size, required for calculating longitude.</p>
+</td>
+</tr>
+<tr id="mrs_01_1451__row1352614120331"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.6.3.1.4.1.1 "><p id="mrs_01_1451__p11526717335">oriLatitude</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.6.3.1.4.1.2 "><p id="mrs_01_1451__p352611183315">Double</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.4.2.6.3.1.4.1.3 "><p id="mrs_01_1451__p1752620110330">Origin latitude, required for calculating longitude.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1451__p95264110339">UDF output parameter</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1451__table24295113332" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1451__row1652641193312"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.6.5.1.4.1.1"><p id="mrs_01_1451__p1152611163318">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.6.5.1.4.1.2"><p id="mrs_01_1451__p1752611123316">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.11.4.2.6.5.1.4.1.3"><p id="mrs_01_1451__p45262017336">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1451__row12526112335"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.6.5.1.4.1.1 "><p id="mrs_01_1451__p552611115334">longitude</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.6.5.1.4.1.2 "><p id="mrs_01_1451__p16527171133315">Long</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.4.2.6.5.1.4.1.3 "><p id="mrs_01_1451__p55271210330">Returns the upper-layer longitude.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1451__p2527151133311">Example:</p>
+<pre class="screen" id="mrs_01_1451__screen6181528643">select ToUpperLongitude (-23575161504L, 50, 39.832277) as upperLongitude from geoTable;</pre>
+</li><li id="mrs_01_1451__li365164791915">Calculating the upper-layer latitude of the pyramid model<p id="mrs_01_1451__p175271915331"><a name="mrs_01_1451__li365164791915"></a><a name="li365164791915"></a><strong id="mrs_01_1451__b195273133316">ToUpperLatitude(Latitude, gridSize, oriLat)</strong></p>
+<p id="mrs_01_1451__p94011632142719">UDF input parameters</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1451__table9431151183319" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1451__row1652714183312"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.7.3.1.4.1.1"><p id="mrs_01_1451__p185279113336">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.7.3.1.4.1.2"><p id="mrs_01_1451__p14527716334">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.11.4.2.7.3.1.4.1.3"><p id="mrs_01_1451__p1252731183313">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1451__row1452719116332"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.7.3.1.4.1.1 "><p id="mrs_01_1451__p75271019334">latitude</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.7.3.1.4.1.2 "><p id="mrs_01_1451__p195278163318">Long</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.4.2.7.3.1.4.1.3 "><p id="mrs_01_1451__p752721163319">Input latitude, which is a long integer.</p>
+</td>
+</tr>
+<tr id="mrs_01_1451__row125275119337"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.7.3.1.4.1.1 "><p id="mrs_01_1451__p752711173318">gridSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.7.3.1.4.1.2 "><p id="mrs_01_1451__p2052716117336">Int</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.4.2.7.3.1.4.1.3 "><p id="mrs_01_1451__p45279117334">Grid size, required for calculating latitude.</p>
+</td>
+</tr>
+<tr id="mrs_01_1451__row652711163310"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.7.3.1.4.1.1 "><p id="mrs_01_1451__p115274118336">oriLatitude</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.7.3.1.4.1.2 "><p id="mrs_01_1451__p05272133312">Double</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.4.2.7.3.1.4.1.3 "><p id="mrs_01_1451__p15527617335">Origin latitude, required for calculating latitude.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1451__p95275193315">UDF output parameter</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1451__table164345173315" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1451__row1052731193319"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.7.5.1.4.1.1"><p id="mrs_01_1451__p852711183310">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.7.5.1.4.1.2"><p id="mrs_01_1451__p11527131183315">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.11.4.2.7.5.1.4.1.3"><p id="mrs_01_1451__p14527201203318">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1451__row175272153317"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.7.5.1.4.1.1 "><p id="mrs_01_1451__p14527181143314">Latitude</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.7.5.1.4.1.2 "><p id="mrs_01_1451__p1527919338">Long</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.4.2.7.5.1.4.1.3 "><p id="mrs_01_1451__p45277112332">Returns the upper-layer latitude.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1451__p321075418242">Example:</p>
+<pre class="screen" id="mrs_01_1451__screen8210135472410">select ToUpperLatitude (-23575161504L, 50, 39.832277) as upperLatitude from geoTable;</pre>
+<p id="mrs_01_1451__p34011311154111"></p>
+</li><li id="mrs_01_1451__li1577142255">Converting longitude and latitude to GeoSOT<p id="mrs_01_1451__p751374152510"><a name="mrs_01_1451__li1577142255"></a><a name="li1577142255"></a><strong id="mrs_01_1451__b175132419259">LatLngToGridCode(latitude, longitude, level)</strong></p>
+<p id="mrs_01_1451__p05991837202715">UDF input parameters</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1451__table11509952102510" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1451__row6509195262517"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.8.3.1.4.1.1"><p id="mrs_01_1451__p350965219251">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="24.97%" id="mcps1.3.11.4.2.8.3.1.4.1.2"><p id="mrs_01_1451__p155092052102515">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50.029999999999994%" id="mcps1.3.11.4.2.8.3.1.4.1.3"><p id="mrs_01_1451__p55097529258">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1451__row2510952162518"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.8.3.1.4.1.1 "><p id="mrs_01_1451__p95105525258">latitude</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.97%" headers="mcps1.3.11.4.2.8.3.1.4.1.2 "><p id="mrs_01_1451__p9510452202518">Double</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.029999999999994%" headers="mcps1.3.11.4.2.8.3.1.4.1.3 "><p id="mrs_01_1451__p1251005219258">Latitude.</p>
+</td>
+</tr>
+<tr id="mrs_01_1451__row65103523255"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.8.3.1.4.1.1 "><p id="mrs_01_1451__p951016523259">longitude</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.97%" headers="mcps1.3.11.4.2.8.3.1.4.1.2 "><p id="mrs_01_1451__p051025222516">Double</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.029999999999994%" headers="mcps1.3.11.4.2.8.3.1.4.1.3 "><p id="mrs_01_1451__p25108528255">Longitude.</p>
+</td>
+</tr>
+<tr id="mrs_01_1451__row851015292517"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.8.3.1.4.1.1 "><p id="mrs_01_1451__p8510052122512">level</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.97%" headers="mcps1.3.11.4.2.8.3.1.4.1.2 "><p id="mrs_01_1451__p4510155220255">Int</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.029999999999994%" headers="mcps1.3.11.4.2.8.3.1.4.1.3 "><p id="mrs_01_1451__p105101852122510">Level. The value range is [0, 32].</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1451__p116151642172712">UDF output parameter</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1451__table629911502272" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1451__row1029915082713"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.8.5.1.4.1.1"><p id="mrs_01_1451__p192990504276">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.11.4.2.8.5.1.4.1.2"><p id="mrs_01_1451__p7299850192710">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.11.4.2.8.5.1.4.1.3"><p id="mrs_01_1451__p1029915018277">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1451__row152994504276"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.8.5.1.4.1.1 "><p id="mrs_01_1451__p82997503270">geoId</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.11.4.2.8.5.1.4.1.2 "><p id="mrs_01_1451__p83003509274">Long</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.11.4.2.8.5.1.4.1.3 "><p id="mrs_01_1451__p730065011275">A number that indicates the longitude and latitude after GeoSOT encoding.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1451__p7126131611283">Example:</p>
+<pre class="screen" id="mrs_01_1451__screen166114217341">select LatLngToGridCode(39.930753, 116.302895, 21) as geoId;</pre>
+</li></ul>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1423.html">CarbonData Syntax Reference</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1454.html b/docs/mrs/component-operation-guide/mrs_01_1454.html
new file mode 100644
index 000000000..aa82864bc
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1454.html
@@ -0,0 +1,18 @@
+<a name="mrs_01_1454"></a><a name="mrs_01_1454"></a>
+
+<h1 class="topictitle1">CarbonData Troubleshooting</h1>
+<div id="body1595920215433"><p id="mrs_01_1454__aa249a9816c1e4702b6777c03c6d5cf80"></p>
+</div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1455.html">Filter Result Is not Consistent with Hive when a Big Double Type Value Is Used in Filter</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1456.html">Query Performance Deterioration</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1400.html">Using CarbonData (for MRS 3.x or Later)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1455.html b/docs/mrs/component-operation-guide/mrs_01_1455.html
new file mode 100644
index 000000000..eedfd5d14
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1455.html
@@ -0,0 +1,20 @@
+<a name="mrs_01_1455"></a><a name="mrs_01_1455"></a>
+
+<h1 class="topictitle1">Filter Result Is not Consistent with Hive when a Big Double Type Value Is Used in Filter</h1>
+<div id="body1595920215434"><div class="section" id="mrs_01_1455__s28bbbc59cefa49a3b746134784cf730e"><h4 class="sectiontitle">Symptom</h4><p id="mrs_01_1455__a9e229658e0d2494285c6fb6c3cfa9250">When double data type values with higher precision are used in filters, incorrect values are returned by filtering results.</p>
+</div>
+<div class="section" id="mrs_01_1455__s6157ee0fc71645cbb15545a2ecd6fc65"><h4 class="sectiontitle">Possible Causes</h4><p id="mrs_01_1455__a484bf90f9b9b4094b16817d89e93ea97">When double data type values with higher precision are used in filters, values are rounded off before comparison. Therefore, values of double data type with different fraction part are considered same.</p>
+</div>
+<div class="section" id="mrs_01_1455__sfc1af3cd461443f1a5e29d50415cb652"><h4 class="sectiontitle">Troubleshooting Method</h4><p id="mrs_01_1455__a8e6c575203ce42d388003dbd701098a6">NA.</p>
+</div>
+<div class="section" id="mrs_01_1455__s4601a2df66e3408498c4c95cd24c030b"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1455__a9528393d4d604da98312b28264a2f0ac">To avoid this problem, use decimal data type when high precision data comparisons are required, such as financial applications, equality and inequality checks, and rounding operations.</p>
+</div>
+<div class="section" id="mrs_01_1455__s15307a8f8ba34031b42897e64e439630"><h4 class="sectiontitle">Reference Information</h4><p id="mrs_01_1455__af93d146169f3441592d383ac2db1b03a">NA.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1454.html">CarbonData Troubleshooting</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1456.html b/docs/mrs/component-operation-guide/mrs_01_1456.html
new file mode 100644
index 000000000..e24fdad94
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1456.html
@@ -0,0 +1,21 @@
+<a name="mrs_01_1456"></a><a name="mrs_01_1456"></a>
+
+<h1 class="topictitle1">Query Performance Deterioration</h1>
+<div id="body1595920215435"><div class="section" id="mrs_01_1456__s22a5cf3a96b842478e6349b4f03f827b"><h4 class="sectiontitle">Symptom</h4><p id="mrs_01_1456__a376b0153d8a342a29a241fb47b79baa5">The query performance fluctuates when the query is executed in different query periods.</p>
+</div>
+<div class="section" id="mrs_01_1456__sbbbde5401be74313b214a6a50ea51cda"><h4 class="sectiontitle">Possible Causes</h4><p id="mrs_01_1456__abcc9fef2f78a4c92917951ec6793ccf3">During data loading, the memory configured for each executor program instance may be insufficient, resulting in more Java GCs. When GC occurs, the query performance deteriorates.</p>
+</div>
+<div class="section" id="mrs_01_1456__sd82796ca00f64301914263254bb77e4f"><h4 class="sectiontitle">Troubleshooting Method</h4><p id="mrs_01_1456__a026889eb23c54ecda77c3ba26c2a3cab">On the Spark UI, the GC time of some executors is obviously higher than that of other executors, or all executors have high GC time.</p>
+</div>
+<div class="section" id="mrs_01_1456__s340239c5a35940b6b73fb96f9c23bd5d"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1456__a3d253efa037a4016ba1bd3d7617fc61f">Log in to Manager and choose <strong id="mrs_01_1456__b41372412517">Cluster</strong> &gt; <strong id="mrs_01_1456__b45501767519">Services</strong> &gt; <strong id="mrs_01_1456__b1639771265118">Spark2x</strong>. On the displayed page, click the <strong id="mrs_01_1456__b128245351518">Configurations</strong> tab and then <strong id="mrs_01_1456__b13452648145117">All Configurations</strong>, search for <strong id="mrs_01_1456__b15145017165218">spark.executor.memory</strong> in the search box, and set its value to a larger value.</p>
+<p id="mrs_01_1456__p18238855113213"><span><img id="mrs_01_1456__image123816555322" src="en-us_image_0000001349170105.png"></span></p>
+</div>
+<div class="section" id="mrs_01_1456__sf780d24b2d3e45289a97c5ce1b538849"><h4 class="sectiontitle">Reference</h4><p id="mrs_01_1456__aed5edf90eaf94ca59db3714e616b925b">None</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1454.html">CarbonData Troubleshooting</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1457.html b/docs/mrs/component-operation-guide/mrs_01_1457.html
new file mode 100644
index 000000000..7cc734611
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1457.html
@@ -0,0 +1,50 @@
+<a name="mrs_01_1457"></a><a name="mrs_01_1457"></a>
+
+<h1 class="topictitle1">CarbonData FAQ</h1>
+<div id="body1595920215436"><p id="mrs_01_1457__a383310ea9e1d4cee906f60b80010f918"></p>
+</div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1458.html">Why Is Incorrect Output Displayed When I Perform Query with Filter on Decimal Data Type Values?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1459.html">How to Avoid Minor Compaction for Historical Data?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1460.html">How to Change the Default Group Name for CarbonData Data Loading?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1461.html">Why Does INSERT INTO CARBON TABLE Command Fail?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1462.html">Why Is the Data Logged in Bad Records Different from the Original Input Data with Escape Characters?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1463.html">Why Data Load Performance Decreases due to Bad Records?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1464.html">Why INSERT INTO/LOAD DATA Task Distribution Is Incorrect and the Opened Tasks Are Less Than the Available Executors when the Number of Initial Executors Is Zero?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1465.html">Why Does CarbonData Require Additional Executors Even Though the Parallelism Is Greater Than the Number of Blocks to Be Processed?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1466.html">Why Data loading Fails During off heap?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1467.html">Why Do I Fail to Create a Hive Table?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1468.html">Why CarbonData tables created in V100R002C50RC1 not reflecting the privileges provided in Hive Privileges for non-owner?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1469.html">How Do I Logically Split Data Across Different Namespaces?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1470.html">Why Missing Privileges Exception is Reported When I Perform Drop Operation on Databases?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1471.html">Why the UPDATE Command Cannot Be Executed in Spark Shell?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1472.html">How Do I Configure Unsafe Memory in CarbonData?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1473.html">Why Exception Occurs in CarbonData When Disk Space Quota is Set for Storage Directory in HDFS?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1474.html">Why Does Data Query or Loading Fail and "org.apache.carbondata.core.memory.MemoryException: Not enough memory" Is Displayed?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24537.html">Why Do Files of a Carbon Table Exist in the Recycle Bin Even If the drop table Command Is Not Executed When Mis-deletion Prevention Is Enabled?</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1400.html">Using CarbonData (for MRS 3.x or Later)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1458.html b/docs/mrs/component-operation-guide/mrs_01_1458.html
new file mode 100644
index 000000000..73def1b58
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1458.html
@@ -0,0 +1,31 @@
+<a name="mrs_01_1458"></a><a name="mrs_01_1458"></a>
+
+<h1 class="topictitle1">Why Is Incorrect Output Displayed When I Perform Query with Filter on Decimal Data Type Values?</h1>
+<div id="body1595920215740"><div class="section" id="mrs_01_1458__s2dae0e55679b47c39b9360ec94fd49fc"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1458__afd247e99d5ab491897ae73be19ab4d35">Why is incorrect output displayed when I perform query with filter on decimal data type values?</p>
+</div>
+<p id="mrs_01_1458__a3c2b236508ed4443bb6a3d5c960673ef">For example:</p>
+<p id="mrs_01_1458__ab51e0f9983874f99afa5a65fa8584459"><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1458__c1c29dff083fd461c8609f1dcd1c8169d">select * from carbon_table where num = 1234567890123456.22;</span></b></i></p>
+<p id="mrs_01_1458__a3ed7d55f9f764c0281172a3c5285f95c">Output:</p>
+<pre class="screen" id="mrs_01_1458__s1671349e190c493ea4f7b451ea952dbe">+------+---------------------+--+
+| name |        num          |
++------+---------------------+--+
+| IAA  | 1234567890123456.22 |
+| IAA  | 1234567890123456.21 |
++------+---------------------+--+</pre>
+<div class="section" id="mrs_01_1458__s75efaeea13f843d8b01749ff3be9b21f"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1458__a374278828a2d462db71a30b8c85fccb9">To obtain accurate output, append BD to the number.</p>
+</div>
+<p id="mrs_01_1458__a63b29985af924a21b8ebad41f2dc0ce4">For example:</p>
+<p id="mrs_01_1458__aaeb6936540d94ae588da0e60fc4dc280"><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1458__c3e062d4148734b879188145c238ede1e">select * from carbon_table where num = 1234567890123456.22BD;</span></b></i></p>
+<p id="mrs_01_1458__a06f2948173fb4662ada2101639692e36">Output:</p>
+<pre class="screen" id="mrs_01_1458__s0eb21d6ad3234b70b9f1c3acd790af29">+------+---------------------+--+
+| name |        num          |
++------+---------------------+--+
+| IAA  | 1234567890123456.22 |
++------+---------------------+--+</pre>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1457.html">CarbonData FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1459.html b/docs/mrs/component-operation-guide/mrs_01_1459.html
new file mode 100644
index 000000000..24f490311
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1459.html
@@ -0,0 +1,17 @@
+<a name="mrs_01_1459"></a><a name="mrs_01_1459"></a>
+
+<h1 class="topictitle1">How to Avoid Minor Compaction for Historical Data?</h1>
+<div id="body1595920215742"><div class="section" id="mrs_01_1459__s9df0afd73efa4c01a3e40c7d37367c57"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1459__adcb615019eb44b7da1823b4c3975e1f5">How to avoid minor compaction for historical data?</p>
+</div>
+<div class="section" id="mrs_01_1459__s7cfcd03c950f4008a527198d89dbbfe2"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1459__a903afa51fdca4ba195173b46de95a468">If you want to load historical data first and then the incremental data, perform following steps to avoid minor compaction of historical data:</p>
+</div>
+<ol id="mrs_01_1459__ob342d62888174281828595344715aa43"><li id="mrs_01_1459__lef25862779f843fa8630487968d49dd2">Load all historical data.</li><li id="mrs_01_1459__l577ff77a9d534cce97401cff495de38c">Configure the major compaction size to a value smaller than the segment size of historical data.</li><li id="mrs_01_1459__l51bbfee56db7427b8b7d17ae2227d18b">Run the major compaction once on historical data so that these segments will not be considered later for minor compaction.</li><li id="mrs_01_1459__l52abd3714b3d4f72b232504258973bbf">Load the incremental data.</li><li id="mrs_01_1459__lf25bc5bfd900406ca90ce0b5d98f0f0e">You can configure the minor compaction threshold as required.</li></ol>
+<p id="mrs_01_1459__aa946550ce8554f1892d1c4695c851c42">For example:</p>
+<ol id="mrs_01_1459__ob7572de3d3334794866e3ee57ebbeadb"><li id="mrs_01_1459__l116092aa5cf444c19b8a9954aa5f2cd4">Assume that you have loaded all historical data to CarbonData and the size of each segment is 500 GB.</li><li id="mrs_01_1459__l43943a5149ff4e5493a2710b63c3bf6c">Set the threshold of major compaction property to <span class="parmname" id="mrs_01_1459__p45b64d0ae0ab4570b341fc17175a3099"><b>carbon.major.compaction.size</b></span> = <span class="parmvalue" id="mrs_01_1459__pbd2a88e119c94f9db3d02a6acba80920"><b>491520</b></span> (480 GB x 1024).</li><li id="mrs_01_1459__lb94a97f4e2e0458e8427930932b5be8c">Run major compaction. All segments will be compacted because the size of each segment is more than configured size.</li><li id="mrs_01_1459__l60aef81df08548d2a175b190cb8a2fd9">Perform incremental loading.</li><li id="mrs_01_1459__l8ae1413f7aed401e9039f4d4a655b9e6">Configure the minor compaction threshold to <span class="parmname" id="mrs_01_1459__pcfa76501bfa04cf3ad03c8fbb1ff65b4"><b>carbon.compaction.level.threshold</b></span> = <span class="parmvalue" id="mrs_01_1459__pe2bc39b003114569844a349532ccf0f4"><b>6,6</b></span>.</li><li id="mrs_01_1459__l9c45e73a13994660a526fe93c17bc79a">Run minor compaction. As a result, only incremental data is compacted.</li></ol>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1457.html">CarbonData FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1460.html b/docs/mrs/component-operation-guide/mrs_01_1460.html
new file mode 100644
index 000000000..d901565df
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1460.html
@@ -0,0 +1,15 @@
+<a name="mrs_01_1460"></a><a name="mrs_01_1460"></a>
+
+<h1 class="topictitle1">How to Change the Default Group Name for CarbonData Data Loading?</h1>
+<div id="body1595920215743"><div class="section" id="mrs_01_1460__sa4bbc298e019415986ceeab12a76641f"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1460__aaa8b53f04b7a4c97b918f8cff3725d71">How to change the default group name for CarbonData data loading?</p>
+</div>
+<div class="section" id="mrs_01_1460__s48107d15f2af44d4b5b579ac1c4f6f24"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1460__a30eaa4d7197b4cc0a4e6e709dd23a7f3">By default, the group name for CarbonData data loading is <span class="parmname" id="mrs_01_1460__p3a78372dfe254e90871f50a4b788be80"><b>ficommon</b></span>. You can perform the following operation to change the default group name:</p>
+</div>
+<ol id="mrs_01_1460__ob759860030714309a59d983bcc84ac59"><li id="mrs_01_1460__l242b35d6219548aebd8ab5a9b46a011d">Edit the <span class="filepath" id="mrs_01_1460__f666f1fa17d504e9585dbba78d53a699a"><b>carbon.properties</b></span> file.</li><li id="mrs_01_1460__l4a51f099948a46c793e17b4f62f38455">Change the value of the key <span class="parmname" id="mrs_01_1460__pc6d8209bfe7347a1af43efa84f4cc319"><b>carbon.dataload.group.name</b></span> as required. The default value is <span class="parmname" id="mrs_01_1460__p61d50e33ab9641d784ee9db18a7aa630"><b>ficommon</b></span>.</li></ol>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1457.html">CarbonData FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1461.html b/docs/mrs/component-operation-guide/mrs_01_1461.html
new file mode 100644
index 000000000..e04603580
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1461.html
@@ -0,0 +1,29 @@
+<a name="mrs_01_1461"></a><a name="mrs_01_1461"></a>
+
+<h1 class="topictitle1">Why Does INSERT INTO CARBON TABLE Command Fail?</h1>
+<div id="body1595920215964"><div class="section" id="mrs_01_1461__s7ed1a7513a7149b192c79f4550281527"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1461__a42e7de655764425a95cb64787cfbb093">Why does the <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1461__c98f11555cae8481199951a1df92e35ec">INSERT INTO CARBON TABLE</span></b></i> command fail and the following error message is displayed?</p>
+<pre class="screen" id="mrs_01_1461__s23ebaeedfe3c4731842c45810205b2f8">Data load failed due to bad record</pre>
+</div>
+<div class="section" id="mrs_01_1461__sad0929cd78fa440c88420d2c704f6102"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1461__adb05ba855e6f4b2485d8d94c4d9244d7">The <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1461__c69a2be218a0443e6b3aa358b61321c0f">INSERT INTO CARBON TABLE</span></b></i> command fails in the following scenarios:</p>
+</div>
+<ul id="mrs_01_1461__ubd8e024948184fca9ff6ed769961bc13"><li id="mrs_01_1461__l18b5fe63052f4fc7be5de61474be0e92">If the data type of source and target table columns are not the same, the data from the source table will be treated as bad records and the <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1461__c76cfe7c9ee4546a6886c63b53aedea27">INSERT INTO</span></b></i> command fails.</li><li id="mrs_01_1461__lb753a469ae8a4f7d99e3dafe23d1a9f8">If the result of aggregation function on a source column exceeds the maximum range of the target column, then the <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1461__c733c7810932a40b78db3047e32a4d1ea">INSERT INTO</span></b></i> command fails.<p id="mrs_01_1461__ac56c85f311fd4b068b201fb6ab83d403">Solution:</p>
+<p id="mrs_01_1461__aafaea907fd3749a5a341667d02909943">You can use the cast function on corresponding columns when inserting records.</p>
+<p id="mrs_01_1461__a05974f917b01406a8b36e36cf6c46eb8">For example:</p>
+<ol id="mrs_01_1461__o08312a05d53a45daa1caee65722989fc"><li id="mrs_01_1461__l46beb72a8d804f6db80eb3b11964ea8d">Run the <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1461__cc87b964b800a4c23aa4a8944baf36689">DESCRIBE</span></b></i> command to query the target and source table.<p id="mrs_01_1461__adac29c4ea93240818b233c946c430b5c"><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1461__c4b7ffc6f387b4be68fe28332c8ea631f">DESCRIBE</span></b></i> <i><span class="varname" id="mrs_01_1461__vbcc207ebe479410abc4b5ddd7e698ebc">newcarbontable</span></i>;</p>
+<p id="mrs_01_1461__ad1f3bfa8701e4084908e1e1c5d3f3434">Result:</p>
+<pre class="screen" id="mrs_01_1461__s47026e2451464bf381ca5d3bba057d9e">col1 int
+col2 bigint</pre>
+<p id="mrs_01_1461__a37ca2ac20ad8411c94732cd61e898649"><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1461__c3d2daa9481054e0fb7fd562e3ca7889f">DESCRIBE</span></b></i> <i><span class="varname" id="mrs_01_1461__v8813f8037b2c48b3bce528744ca5e2d8">sourcetable</span></i>;</p>
+<p id="mrs_01_1461__a083516a4134944f4a4c776eb34783a43">Result:</p>
+<pre class="screen" id="mrs_01_1461__sd96c9767a29442498c9df782f9859d3b">col1 int
+col2 int</pre>
+</li><li id="mrs_01_1461__l9ab04704eaf04b4ebc106c55761a5670">Add the cast function to convert bigint value to integer.<p id="mrs_01_1461__a5dbb594f633e41f98e0404934efc6229"><a name="mrs_01_1461__l9ab04704eaf04b4ebc106c55761a5670"></a><a name="l9ab04704eaf04b4ebc106c55761a5670"></a><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1461__c4a80134b70c7460f940b9d873903fadd">INSERT INTO</span></b></i> <i><span class="varname" id="mrs_01_1461__v541c192f9e1a426591737e2b3747caf5">newcarbontable select col1, cast(col2 as integer) from sourcetable;</span></i></p>
+</li></ol>
+</li></ul>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1457.html">CarbonData FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1462.html b/docs/mrs/component-operation-guide/mrs_01_1462.html
new file mode 100644
index 000000000..f7e147312
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1462.html
@@ -0,0 +1,15 @@
+<a name="mrs_01_1462"></a><a name="mrs_01_1462"></a>
+
+<h1 class="topictitle1">Why Is the Data Logged in Bad Records Different from the Original Input Data with Escape Characters?</h1>
+<div id="body1595920215965"><div class="section" id="mrs_01_1462__s4b1a0a42504c457ba12aa948409cbc20"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1462__a61524bc8064749939ff5140faf5d15c8">Why is the data logged in bad records different from the original input data with escaped characters?</p>
+</div>
+<div class="section" id="mrs_01_1462__s414a6dcf64544af3a1c1cca78ff2e713"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1462__a8527380f55284272a6d35028fc12e200">An escape character is a backslash (\) followed by one or more characters. If the input records contain escape characters such as \t, \b, \n, \r, \f, \', \", \\ , java will process the escape character '\' and the following characters together to obtain the escaped meaning.</p>
+</div>
+<p id="mrs_01_1462__a4499143196ec4f6ea894ff4838abf40b">For example, if the CSV data type <strong id="mrs_01_1462__a26569b18407d440ab6eda8e5eede6a36">2010\\10,test</strong> is inserted to String,int type, the value is treated as bad records, because <strong id="mrs_01_1462__ab44688c7fd9447aaa9bd466dbf4f603e">tes</strong>t cannot be converted to int. The value logged in the bad records is <strong id="mrs_01_1462__a7d8ae291c44a4142861735fa1860f064">2010\10</strong> because java processes <strong id="mrs_01_1462__b166296197375">\\</strong> as <strong id="mrs_01_1462__b6179153073718">\</strong>.</p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1457.html">CarbonData FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1463.html b/docs/mrs/component-operation-guide/mrs_01_1463.html
new file mode 100644
index 000000000..43e782005
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1463.html
@@ -0,0 +1,14 @@
+<a name="mrs_01_1463"></a><a name="mrs_01_1463"></a>
+
+<h1 class="topictitle1">Why Data Load Performance Decreases due to Bad Records?</h1>
+<div id="body1595920215967"><div class="section" id="mrs_01_1463__s4ee1003fe14242d6b3e3cd6e85a5ffb4"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1463__a38fa84bfd7ca4f31863b47db1b9792d3">Why data load performance decreases due to bad records?</p>
+</div>
+<div class="section" id="mrs_01_1463__se41e2f11086e4fdea2360e677c817362"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1463__afd5e3b76d1c944aa96ea024b160cb9c9">If bad records are present in the data and <span class="parmname" id="mrs_01_1463__p15aa266a0aa34575adc87ffc91f2f702"><b>BAD_RECORDS_LOGGER_ENABLE</b></span> is <span class="parmvalue" id="mrs_01_1463__pbe14d4de73e3419d9522dd0beca8da19"><b>true</b></span> or <span class="parmname" id="mrs_01_1463__p7793a68499ff4289b61ae8e2a0ece9d8"><b>BAD_RECORDS_ACTION</b></span> is <span class="parmvalue" id="mrs_01_1463__pda4ea9e52c32493f8e719387bed0321d"><b>redirect</b></span> then load performance will decrease due to extra I/O for  writing failure reason in log file or redirecting the records to raw CSV.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1457.html">CarbonData FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1464.html b/docs/mrs/component-operation-guide/mrs_01_1464.html
new file mode 100644
index 000000000..ee4e28fd2
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1464.html
@@ -0,0 +1,19 @@
+<a name="mrs_01_1464"></a><a name="mrs_01_1464"></a>
+
+<h1 class="topictitle1">Why INSERT INTO/LOAD DATA Task Distribution Is Incorrect and the Opened Tasks Are Less Than the Available Executors when the Number of Initial Executors<span id="ph8548202823810"> </span>Is Zero?</h1>
+<div id="body1595920215968"><div class="section" id="mrs_01_1464__s41230294a0df4d63934ef2af8113fb17"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1464__a21fcee98ae82405885ee13a3daa6c497">Why <strong id="mrs_01_1464__a3c08220ff01542a8b3dc45387c34608d">INSERT INTO or LOAD DATA</strong> task distribution is incorrect, and the openedtasks  are less than the available executors when the number of initial executors is zero<strong id="mrs_01_1464__afeaffae503de41f39028f8c80c07fdad">?</strong></p>
+</div>
+<div class="section" id="mrs_01_1464__sbbb813ec80ce43d8b9ff69244f437b8a"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1464__a6dc0aa38305d4e7eb1c7186f654434cc">In case of INSERT INTO or LOAD DATA, CarbonData distributes one task per node. If the executors are not allocated from the distinct nodes then CarbonData will launch fewer tasks.</p>
+<p id="mrs_01_1464__a940e8d03d60245de93f17ad2f59bd371"><strong id="mrs_01_1464__a640f08b5609249fb87ab521ebc39eefa">Solution</strong>:</p>
+<p id="mrs_01_1464__a189c1d63701042b192ac004b27ea01dc">Configure higher value for the executor memory and core so that the yarn can launch only one executor per node.</p>
+<ol id="mrs_01_1464__ob576d7e6910440529853bb1fc6c00949"><li id="mrs_01_1464__lc5d8cd22452b4f5f8ca7a064890099b4">Configure the number of the Executor cores.<ul id="mrs_01_1464__u5b4118bd0c8145d4b8cac162d22b1781"><li id="mrs_01_1464__l39204a8ba5434ceb9b48d1a77003f425">Configure the <span class="parmname" id="mrs_01_1464__p03513d0874d84d78ac647536faef696b"><b>spark.executor.cores</b></span> in <span class="filepath" id="mrs_01_1464__fc893bf23493147aebecd48079b0ac89d"><b>spark-defaults.conf</b></span> or the <span class="parmname" id="mrs_01_1464__p5455b27ce7f846cc8d9d7e632c84535d"><b>SPARK_EXECUTOR_CORES</b></span> in <span class="filepath" id="mrs_01_1464__fca85a300d2fe4a90863b6a3255317b6c"><b>spark-env.sh</b></span> appropriately.</li><li id="mrs_01_1464__l8b9e64a56aa24f07820d03b68b88356c">Add <span class="parmname" id="mrs_01_1464__p16f441996e5943c68a50b55083eafff2"><b>--executor-cores NUM</b></span> parameter to configure the cores during use the spark-submit command.</li></ul>
+</li><li id="mrs_01_1464__ld4dd6b1f343442deb575d5c5d1d8387e">Configure the Executor memory.<ul id="mrs_01_1464__uf50b808f1ea143ea9cdf3402ba9dfc9c"><li id="mrs_01_1464__le04444b32c5b4cd2979897fbd08a276e">Configure the <span class="parmname" id="mrs_01_1464__pfc6f296899e54fbfb3b2c420621ab246"><b>spark.executor.memory</b></span> in <span class="filepath" id="mrs_01_1464__f59af5bd4028b4f11a228b0f1e417ee58"><b>spark-defaults.conf</b></span> or the <span class="parmname" id="mrs_01_1464__p9d7d4b530ae34eb58a1d89dcd3a12bdc"><b>SPARK_EXECUTOR_MEMORY</b></span> in <span class="filepath" id="mrs_01_1464__fe664d778aba64bb38a31606c2dbf5bbb"><b>spark-env.sh</b></span> appropriately.</li><li id="mrs_01_1464__l1f043c25559f4998bda6dc404554eba7">Add <span class="parmname" id="mrs_01_1464__p2f55f1eb322646ebb445d80f49f100f0"><b>--executor-memory MEM</b></span> parameter to configure the memory during use the spark-submit command.</li></ul>
+</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1457.html">CarbonData FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1465.html b/docs/mrs/component-operation-guide/mrs_01_1465.html
new file mode 100644
index 000000000..5c3d8b3c5
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1465.html
@@ -0,0 +1,18 @@
+<a name="mrs_01_1465"></a><a name="mrs_01_1465"></a>
+
+<h1 class="topictitle1">Why Does CarbonData Require Additional Executors Even Though the Parallelism Is Greater Than the Number of Blocks to Be Processed?</h1>
+<div id="body1595920215969"><div class="section" id="mrs_01_1465__s1ecbf0ee302649289b27c11bbd623865"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1465__a8863d1ff72b643d6bf72a02ebbf2f5c5">Why does CarbonData require additional executors even though the parallelism is greater than the number of blocks to be processed?</p>
+</div>
+<div class="section" id="mrs_01_1465__sbeb71b380603446d80adc26913320477"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1465__aa87402294c1c4419994e7d06e871e7ff">CarbonData block distribution optimizes data processing as follows:</p>
+<ol id="mrs_01_1465__offe7b031e82a4577a436ab9aa5559c9c"><li id="mrs_01_1465__lb52aa5863ede45b3bff86099d8e0d86b">Optimize data processing parallelism.</li><li id="mrs_01_1465__l848e1b99cf744f148181cbfba67ad568">Optimize parallel reading of block data.</li></ol>
+</div>
+<p id="mrs_01_1465__ad2573cd92e6f4ab0b33ef25eae2ea7a9">To optimize parallel processing and parallel read, CarbonData requests executors based on the locality of blocks so that it can obtain executors on all nodes.</p>
+<p id="mrs_01_1465__a18f29898bc5f445287f370583bfe86b5">If you are using dynamic allocation, you need to configure the following properties:</p>
+<ol id="mrs_01_1465__o4dc6c4f55b1e4aea87f176d7608647c4"><li id="mrs_01_1465__ld94ca10f09d746b0b94e4e6717f86517">Set <span class="parmname" id="mrs_01_1465__p6aaf453793884c468bcd9484380c9553"><b>spark.dynamicAllocation.executorIdleTimeout</b></span> to 15 minutes (or the average query time).</li><li id="mrs_01_1465__lf281e981503941ceb89ae8f759a5bfff">Set <strong id="mrs_01_1465__b4802957171814">spark.dynamicAllocation.maxExecutors</strong> correctly. The default value <strong id="mrs_01_1465__b198032579185">2048</strong> is not recommended. Otherwise, CarbonData will request the maximum number of executors.</li><li id="mrs_01_1465__l2fa9aa586d7f4eff854d1a0263dac92c">For a bigger cluster, set <strong id="mrs_01_1465__b107891810111912">carbon.dynamicAllocation.schedulerTimeout</strong> to a value ranging from 10 to 15 seconds. The default value is 5 seconds.</li><li id="mrs_01_1465__l9749b19fd0c34d3a8ce13737c0db4159">Set <strong id="mrs_01_1465__b4746182731910">carbon.scheduler.minRegisteredResourcesRatio</strong> to a value ranging from 0.1 to 1.0. The default value is <strong id="mrs_01_1465__b674762761912">0.8</strong>. Block distribution can be started as long as the value of <strong id="mrs_01_1465__b13983114141911">carbon.scheduler.minRegisteredResourcesRatio</strong> is within the range.</li></ol>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1457.html">CarbonData FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1466.html b/docs/mrs/component-operation-guide/mrs_01_1466.html
new file mode 100644
index 000000000..19d2edb03
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1466.html
@@ -0,0 +1,14 @@
+<a name="mrs_01_1466"></a><a name="mrs_01_1466"></a>
+
+<h1 class="topictitle1">Why Data loading Fails During off heap?</h1>
+<div id="body1595920215970"><div class="section" id="mrs_01_1466__s5ee2a6d0593d4780a228481c19eb39dd"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1466__a32c47d7b4dc04c878143ae72c5b3d9fd">Why Data Loading fails during off heap?</p>
+</div>
+<div class="section" id="mrs_01_1466__saa91ccb63ce24b46bb62bafbb02c219b"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1466__aaa16586cc845430c873932f2c4102c20">YARN Resource Manager will consider (Java heap memory + <span class="parmname" id="mrs_01_1466__p018770ee3a244f1fb9a09ad7c00e95eb"><b>spark.yarn.am.memoryOverhead</b></span>) as memory limit, so during the off heap, the memory can exceed this limit. So you need to increase the memory by increasing the value of the parameter <span class="parmname" id="mrs_01_1466__p79da4cc4f6af4185b7898f6d520cdd8b"><b>spark.yarn.am.memoryOverhead</b></span>.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1457.html">CarbonData FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1467.html b/docs/mrs/component-operation-guide/mrs_01_1467.html
new file mode 100644
index 000000000..11c1b28dc
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1467.html
@@ -0,0 +1,19 @@
+<a name="mrs_01_1467"></a><a name="mrs_01_1467"></a>
+
+<h1 class="topictitle1">Why Do I Fail to Create a Hive Table?</h1>
+<div id="body1595920216190"><div class="section" id="mrs_01_1467__s783c77a8524d4997a662899fe758426e"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1467__a008284e0c00a452987fd4bfb7065e93a">Why do I fail to create a hive table?</p>
+</div>
+<div class="section" id="mrs_01_1467__sba5f416af0cc403c8f4ea3553eaf957b"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1467__a98dbbdeb26a8437c807b2f8a42df3449">Creating a Hive table fails, when source table or sub query has more number of partitions. The implementation of the query requires a lot of tasks, then the number of files will be output a lot, resulting OOM in Driver.</p>
+<p id="mrs_01_1467__aa498099d8d364ae289e2ecc7ee20da6b">It can be solved by using <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1467__c5888c10569144049a9c1443457169514">distribute by</span></b></i> on suitable cardinality(distinct values) column in the statement of Hive table creation.</p>
+<p id="mrs_01_1467__a662064ce559d4325aa0bdcda1f4781be"><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1467__c69041cdb278b4ddfa4a93e7696b24f2a">distribute by</span></b></i> clause limits number of  hive table partitions. It considers cardinality of given column or <span class="parmname" id="mrs_01_1467__p6856ae7d93a944109a0cc7ff83c20d12"><b>spark.sql.shuffle.partitions</b></span> which ever is minimal. For example, if <span class="parmname" id="mrs_01_1467__pefde51c39bc647eb910d85d1d953e289"><b>spark.sql.shuffle.partitions</b></span> is 200, but cardinality of column is 100, out files is 200, but the other 100 files are empty. So using very low cardinality column like 1 will cause data skew and will effect later query distribution.</p>
+<p id="mrs_01_1467__afbb4afb6db23476eb74513b9c735899d">So we suggest using the column with cardinality greater than <span class="parmname" id="mrs_01_1467__pfa5f8d6cb8384306953b83d29993c25d"><b>spark.sql.shuffle.partitions</b></span>. It can be greater than 2 to 3 times.</p>
+<p id="mrs_01_1467__a498cf68a4cd142ff8473c91f633e95dc">Example:</p>
+<p id="mrs_01_1467__aff091b9e25d84a7f9e05afcb53dd5ab5"><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1467__c4c503c185dee417e83904ce78cee4c0a">create table hivetable1 as select * from sourcetable1 distribute by col_age;</span></b></i></p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1457.html">CarbonData FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1468.html b/docs/mrs/component-operation-guide/mrs_01_1468.html
new file mode 100644
index 000000000..60d9d9bd7
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1468.html
@@ -0,0 +1,22 @@
+<a name="mrs_01_1468"></a><a name="mrs_01_1468"></a>
+
+<h1 class="topictitle1">Why CarbonData tables created in V100R002C50RC1 not reflecting the privileges provided in Hive Privileges for non-owner?</h1>
+<div id="body1595920216428"><div class="section" id="mrs_01_1468__s476adec64d9d434aaef3d2131d910654"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1468__a944ca0e965a840b2bc50b387eae79f1c">Why CarbonData tables created in V100R002C50RC1 not reflecting the privileges provided in Hive Privileges for non-owner?</p>
+</div>
+<div class="section" id="mrs_01_1468__sbb3b8dce80364f8b9bde21c08dbf1780"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1468__aa478b3407b784032a113f8b32f042fd2">The Hive ACL is implemented after the version V100R002C50RC1, hence the Hive ACL Privileges are not reflecting.</p>
+</div>
+<p id="mrs_01_1468__a63dcef3c02144500ab5966350bc6e07c">To support HIVE ACL Privileges for CarbonData tables created in V100R002C50RC1, following two ALTER TABLE commands must be executed by owner of the table.</p>
+<p id="mrs_01_1468__a5cf6c6253fa24fd683b4ba2cbe20e8ec"><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1468__cbd886615a7764b829b3de80ca473f5b5">ALTER TABLE</span></b></i> <i><span class="varname" id="mrs_01_1468__vae9b3ab528db4c98adccbe73a7dc5cba">$dbname.$tablename SET LOCATION '$carbon.store/$dbname/$tablename';</span></i></p>
+<p id="mrs_01_1468__a87389d185b054e05ba344d3d5737a103"><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1468__cdc5b5f47de334f5eafc4751d459abd64">ALTER TABLE</span></b></i> <i><span class="varname" id="mrs_01_1468__v062184ac5bed45509c9422bf6c74441b">$dbname.$tablename SET SERDEPROPERTIES ('path'='$carbon.store/$dbname/$tablename');</span></i></p>
+<p id="mrs_01_1468__a74d2080f29894bb6af53893622b9a8b6"></p>
+<p id="mrs_01_1468__a562205b83feb4436ac6f73ca55440011">Example:</p>
+<p id="mrs_01_1468__acb0711a724b94ab9b50fe66f0a5d9e5c">Assume database name is 'carbondb', table name is 'carbontable', and CarbonData store location is 'hdfs://hacluster/user/hive/warehouse/carbon.store', then the commands should be executed is as follows:</p>
+<p id="mrs_01_1468__a85b497caf52d45d7af2b19e660da9cc1"><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1468__c611fc9b1dafc45f08c7a99244243215b">ALTER TABLE</span></b></i> <i><span class="varname" id="mrs_01_1468__v6d00f8520340423c80fec1de448d036c">carbondb.carbontable SET LOCATION 'hdfs://hacluster/user/hive/warehouse/carbon.store/carbondb/carbontable';</span></i></p>
+<p id="mrs_01_1468__a9b15c15d7d1f427195659403fe499dde"><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1468__c8b539fab174146f299a4af49d5442e07">ALTER TABLE</span></b></i> <i><span class="varname" id="mrs_01_1468__vcc3922db6fd24544acf2eb9187e16617">carbondb.carbontable SET SERDEPROPERTIES ('path'='hdfs://hacluster/user/hive/warehouse/carbon.store/carbondb/carbontable');</span></i></p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1457.html">CarbonData FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1469.html b/docs/mrs/component-operation-guide/mrs_01_1469.html
new file mode 100644
index 000000000..fbf9b3761
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1469.html
@@ -0,0 +1,40 @@
+<a name="mrs_01_1469"></a><a name="mrs_01_1469"></a>
+
+<h1 class="topictitle1">How Do I Logically Split Data Across Different Namespaces?</h1>
+<div id="body1595920216657"><div class="section" id="mrs_01_1469__s47c9cbcf573843febf16d62025f89d4b"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1469__a2787d081065d403a849032e9d6c61723">How do I logically split data across different namespaces?</p>
+</div>
+<div class="section" id="mrs_01_1469__s000282ebeb92488aa9a30ff46e247825"><h4 class="sectiontitle">Answer</h4><ul id="mrs_01_1469__u29496c038ff845be927a2d8e071bd73e"><li id="mrs_01_1469__l590c73753ccc4bb587348727d1de7179">Configuration:<p id="mrs_01_1469__af8ab41e3fc0d44d6b6e3a4e45561f98b"><a name="mrs_01_1469__l590c73753ccc4bb587348727d1de7179"></a><a name="l590c73753ccc4bb587348727d1de7179"></a>To logically split data across different namespaces, you must update the following configuration in the <strong id="mrs_01_1469__b111707119882018">core-site.xml</strong> file of HDFS, Hive, and Spark.</p>
+<div class="note" id="mrs_01_1469__nff1f4dc98d38415f9576e849353428c9"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1469__a85c6b0224e944928914b9ef1ace41c2d">Changing the Hive component will change the locations of carbonstore and warehouse.</p>
+</div></div>
+<ul id="mrs_01_1469__u2dc951f5a8d24fd18f355b45d3dbdff6"><li id="mrs_01_1469__l55176a557cd9415aaa3c8eb1868f1085">Configuration in HDFS<ul id="mrs_01_1469__u6d18b5a0933e4c9abd46c195cb15903a"><li id="mrs_01_1469__lcf71602ce65b4f488ca3f91df0910c17"><strong id="mrs_01_1469__b202691399682018">fs.defaultFS</strong>: Name of the default file system. The URI mode must be set to <strong id="mrs_01_1469__b156793437182018">viewfs</strong>. When <strong id="mrs_01_1469__b174789463482018">viewfs</strong> is used, the permission part must be <strong id="mrs_01_1469__b104785144682018">ClusterX</strong>.</li><li id="mrs_01_1469__lc78f91e86f0c44b4b846f6f06a94d7a3"><strong id="mrs_01_1469__b175494545582018">fs.viewfs.mountable.ClusterX.homedir</strong>: Home directory base path. You can use the getHomeDirectory() method defined in <strong id="mrs_01_1469__b58721984182018">FileSystem/FileContext</strong> to access the home directory.</li><li id="mrs_01_1469__l2a2338decfd54b6d84c9895bf6557bee">fs.viewfs.mountable.default.link.&lt;dir_name&gt;: ViewFS mount table.</li></ul>
+<p id="mrs_01_1469__a52df4ec196df4294a54455d263fcf9cd">Example:</p>
+<pre class="screen" id="mrs_01_1469__s6c1844885f624fecb407e404e80eb58a">&lt;property&gt;
+&lt;name&gt;fs.defaultFS&lt;/name&gt;
+&lt;value&gt;viewfs://ClusterX/&lt;/value&gt;
+&lt;/property&gt;
+&lt;property&gt;
+&lt;name&gt;fs.viewfs.mounttable.ClusterX.link./folder1&lt;/name&gt;
+&lt;value&gt;hdfs://NS1/folder1&lt;/value&gt;
+&lt;/property&gt;
+&lt;property&gt;
+&lt;name&gt;fs.viewfs.mounttable.ClusterX.link./folder2&lt;/name&gt;
+&lt;value&gt;hdfs://NS2/folder2&lt;/value&gt;
+&lt;/property&gt;</pre>
+</li><li id="mrs_01_1469__lbb80b556e9a148bc892c53a287262a56">Configurations in Hive and Spark<p id="mrs_01_1469__af88d558da1b64714888f09ffe7dcaf89"><a name="mrs_01_1469__lbb80b556e9a148bc892c53a287262a56"></a><a name="lbb80b556e9a148bc892c53a287262a56"></a><strong id="mrs_01_1469__b95530621482018">fs.defaultFS</strong>: Name of the default file system. The URI mode must be set to <strong id="mrs_01_1469__b17004898182018">viewfs</strong>. When <strong id="mrs_01_1469__b33842450182018">viewfs</strong> is used, the permission part must be <strong id="mrs_01_1469__b74683985082018">ClusterX</strong>.</p>
+</li></ul>
+</li></ul>
+<ul id="mrs_01_1469__u974cb7a65c6a4d3c94af9877757112b4"><li id="mrs_01_1469__lc4c2c526663b4ee781ec203871edfec3">Syntax:<p id="mrs_01_1469__aa864c4763c8c4cdd87a315a21e58d6da"><a name="mrs_01_1469__lc4c2c526663b4ee781ec203871edfec3"></a><a name="lc4c2c526663b4ee781ec203871edfec3"></a><b><span class="cmdname" id="mrs_01_1469__c6a851486a77a47828084f6954e179083">LOAD DATA INPATH</span></b> <i><span class="varname" id="mrs_01_1469__vc0be17634f454f72ba62d8980a0f91b7">'path to data' INTO TABLE table_name OPTIONS ('...');</span></i></p>
+<div class="note" id="mrs_01_1469__n9414b39c9e924d8aa77edb0aea78ba3f"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1469__ae9320fe28fda4e8199ceb98dd6579635">When Spark is configured with the viewFS file system and attempts to load data from HDFS, users must specify a path such as <strong id="mrs_01_1469__b3910154782110">viewfs://</strong> or a relative path as the file path in the <strong id="mrs_01_1469__b21401752122116">LOAD</strong> statement.</p>
+</div></div>
+</li><li id="mrs_01_1469__l4ac7b5991f3543649b12c32eb505a5a6">Example:<ul id="mrs_01_1469__u5c20eb3cfdd54b38a408c3a134ce324c"><li id="mrs_01_1469__ldd374fbc057f4248b702f9b7dd09a464">Sample viewFS path:<p id="mrs_01_1469__aef95cececbe74d8e8372798034f1ce56"><a name="mrs_01_1469__ldd374fbc057f4248b702f9b7dd09a464"></a><a name="ldd374fbc057f4248b702f9b7dd09a464"></a><b><span class="cmdname" id="mrs_01_1469__c14572837c9044c6ca50d504d6c8b41ed">LOAD DATA INPATH</span></b> <i><span class="varname" id="mrs_01_1469__v1034dece72b34c749adc8e36fb5b553d">'viewfs://ClusterX/dir/data.csv' INTO TABLE table_name OPTIONS ('...');</span></i></p>
+</li><li id="mrs_01_1469__lf1bc52c0809d426d8ed3080acc079678">Sample relative path:<p id="mrs_01_1469__a88428b0949ab493db286a00accaf544e"><a name="mrs_01_1469__lf1bc52c0809d426d8ed3080acc079678"></a><a name="lf1bc52c0809d426d8ed3080acc079678"></a><b><span class="cmdname" id="mrs_01_1469__ce1d2a0e90ade412eabc6ee98b7cf1d1f">LOAD DATA INPATH</span></b>  <i><span class="varname" id="mrs_01_1469__v9aa9043f1084494999778b223d813f67">'/apps/input_data1.txt'</span></i>  <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1469__c4b26aa2244934a688fc7f08a11f9efe9">INTO TABLE</span></b></i>  <i><span class="varname" id="mrs_01_1469__v0dcaadd37ead42babea64fcecca66f7c">table_name</span></i>;</p>
+</li></ul>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1457.html">CarbonData FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1470.html b/docs/mrs/component-operation-guide/mrs_01_1470.html
new file mode 100644
index 000000000..856cd4a1f
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1470.html
@@ -0,0 +1,15 @@
+<a name="mrs_01_1470"></a><a name="mrs_01_1470"></a>
+
+<h1 class="topictitle1">Why Missing Privileges Exception is Reported When I Perform Drop Operation on Databases?</h1>
+<div id="body1595920216914"><div class="section" id="mrs_01_1470__sed9d9035c51e4ccdb0f246ea781adde0"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1470__afdbfc0ed71a24ca3b4e5d361a4f9125d">Why drop database cascade is throwing the following exception?</p>
+</div>
+<pre class="screen" id="mrs_01_1470__s03c476eee19f4cf5b0ba764f50a2d47c">Error: org.apache.spark.sql.AnalysisException: Missing Privileges;(State=,code=0)</pre>
+<div class="section" id="mrs_01_1470__s4638616613c54afca8d93b214ac17c93"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1470__a970fa858dd5e476084965c80501e5c50">This error is thrown when the owner of the database performs <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1470__c2e26c15d5afd4f489252d4ee2b83ec6b">drop database &lt;database_name&gt; cascade</span></b></i> which contains tables created by other users.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1457.html">CarbonData FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1471.html b/docs/mrs/component-operation-guide/mrs_01_1471.html
new file mode 100644
index 000000000..bd0996cc7
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1471.html
@@ -0,0 +1,22 @@
+<a name="mrs_01_1471"></a><a name="mrs_01_1471"></a>
+
+<h1 class="topictitle1">Why the UPDATE Command Cannot Be Executed in Spark Shell?</h1>
+<div id="body1595920217108"><div class="section" id="mrs_01_1471__s77c090e2336f4404901aa5e781b91e63"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1471__a7ee6ffdda0204961b8fc8640897ed968">Why the UPDATE command cannot be executed in Spark Shell?</p>
+</div>
+<div class="section" id="mrs_01_1471__sda7dcf17f64e43c4966e819142950dd6"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1471__a71358839c5ef4cf99cc2764b07b10bc3">The syntax and examples provided in this document are about Beeline commands instead of Spark Shell commands.</p>
+<p id="mrs_01_1471__a25fa333624964b94947d1c8f6d0c75e9">To run the UPDATE command in Spark Shell, use the following syntax:</p>
+<ul id="mrs_01_1471__ud8622abc474841a496869407c573c80b"><li id="mrs_01_1471__la7cb07b9589740f2b4c359e158b1fdf4">Syntax 1<p id="mrs_01_1471__a40c1651d742b43c18e2ea2335273132f"><a name="mrs_01_1471__la7cb07b9589740f2b4c359e158b1fdf4"></a><a name="la7cb07b9589740f2b4c359e158b1fdf4"></a><b><span class="cmdname" id="mrs_01_1471__cmdname155962325471">&lt;carbon_context&gt;.sql("UPDATE &lt;CARBON TABLE&gt; SET (column_name1, column_name2, ... column_name n) = (column1_expression , column2_expression , column3_expression ... column n_expression) [ WHERE { &lt;filter_condition&gt; } ];").show</span></b></p>
+</li></ul>
+<ul id="mrs_01_1471__u8d7fa2181911467ea26e3d0e3f9dd851"><li id="mrs_01_1471__le63635f2165e40c795e44c86d4b93149">Syntax 2<p id="mrs_01_1471__a7830bba64b3148af820cab48ea9b25ce"><a name="mrs_01_1471__le63635f2165e40c795e44c86d4b93149"></a><a name="le63635f2165e40c795e44c86d4b93149"></a><b><span class="cmdname" id="mrs_01_1471__cmdname6437173813471">&lt;carbon_context&gt;.sql("UPDATE &lt;CARBON TABLE&gt; SET (column_name1, column_name2,) = (select sourceColumn1, sourceColumn2 from sourceTable [ WHERE { &lt;filter_condition&gt; } ] ) [ WHERE { &lt;filter_condition&gt; } ];").show</span></b></p>
+</li></ul>
+<p id="mrs_01_1471__addecc982857c4e26b8ae50c104e2d7ad">Example:</p>
+<p id="mrs_01_1471__a7328e80173d842bc994d6514e3765d35">If the context of CarbonData is <span class="parmname" id="mrs_01_1471__p5607a00b3c7948499dd02ac05671999a"><b>carbon</b></span>, run the following command:</p>
+<p id="mrs_01_1471__add85a97150924469ad55466d015f3e50"><b><span class="cmdname" id="mrs_01_1471__cmdname2778174254715">carbon.sql("update carbonTable1 d set (d.column3,d.column5) = (select s.c33 ,s.c55 from sourceTable1 s where d.column1 = s.c11) where d.column1 = 'country' exists( select * from table3 o where o.c2 &gt; 1);").show</span></b></p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1457.html">CarbonData FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1472.html b/docs/mrs/component-operation-guide/mrs_01_1472.html
new file mode 100644
index 000000000..db6a09b22
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+++ b/docs/mrs/component-operation-guide/mrs_01_1472.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_1472"></a><a name="mrs_01_1472"></a>
+
+<h1 class="topictitle1">How Do I Configure Unsafe Memory in CarbonData?</h1>
+<div id="body1595920217110"><div class="section" id="mrs_01_1472__s37677e1cc7354d7a8a40bdf414e8f2e6"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1472__a495614a5ef1648a9ab57237a76e881c1">How do I configure unsafe memory in CarbonData?</p>
+</div>
+<div class="section" id="mrs_01_1472__sefdf4b043a0040a2bc2a33d383f106bc"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1472__ac9778c609a92418dbdfdb50afbad93b2">In the Spark configuration, the value of <span class="parmname" id="mrs_01_1472__p59ae09c41416487a83e6f88320248e91"><b>spark.yarn.executor.memoryOverhead</b></span> must be greater than the sum of (<span class="parmname" id="mrs_01_1472__pb37e8bcd6e80439786bdf71da24ba666"><b>sort.inmemory.size.inmb</b></span> + <span class="parmname" id="mrs_01_1472__pec8186b03a394b57b5ff784068a08bf3"><b>Netty offheapmemory required</b></span>), or the sum of (<span class="parmname" id="mrs_01_1472__p889a61774b7947cda3be155e6f10cc80"><b>carbon.unsafe.working.memory.in.mb</b></span> + <span class="parmname" id="mrs_01_1472__pa3cf65eb3bd24f08a54ece3e3085eb54"><b>carbon.sort.inememory.storage.size.in.mb</b></span> + <span class="parmname" id="mrs_01_1472__p7ecc8e7d6f7f472fa4deefec92c02dcc"><b>Netty offheapmemory required</b></span>). Otherwise, if off-heap access exceeds the configured executor memory, Yarn may stop the executor.</p>
+<p id="mrs_01_1472__a4f2805ae1daf476b83ae575eea55347f">If <strong id="mrs_01_1472__b1543228164916">spark.shuffle.io.preferDirectBufs</strong> is set to <strong id="mrs_01_1472__b164330816498">true</strong>, the netty transfer service in Spark takes off some heap memory (around 384 MB or 0.1 x executor memory) from <strong id="mrs_01_1472__b74334819492">spark.yarn.executor.memoryOverhead</strong>.</p>
+<p id="mrs_01_1472__a83c155a2579443a2adaca95d74efbfbe">For details, see <a href="mrs_01_1947.html">Configuring Executor Off-Heap Memory</a>.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1457.html">CarbonData FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1473.html b/docs/mrs/component-operation-guide/mrs_01_1473.html
new file mode 100644
index 000000000..f24b440a5
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@@ -0,0 +1,26 @@
+<a name="mrs_01_1473"></a><a name="mrs_01_1473"></a>
+
+<h1 class="topictitle1">Why Exception Occurs in CarbonData When Disk Space Quota is Set for Storage Directory in HDFS?</h1>
+<div id="body1595920217111"><div class="section" id="mrs_01_1473__sd8d6e6804f834be7ad5a256d68fec95e"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1473__a36e5a7f0910a4e86a4e544f616038381">Why exception occurs in CarbonData when Disk Space Quota is set for the storage directory in HDFS?</p>
+</div>
+<div class="section" id="mrs_01_1473__s46da8583cb93405898dba5f9fef5c4bd"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1473__aaab04e5182974469aac9d3d6c66e1b61">The data will be written to HDFS when you during create table, load table, update table, and so on. If the configured HDFS directory does not have sufficient disk space quota, then the operation will fail and throw following exception.</p>
+</div>
+<pre class="screen" id="mrs_01_1473__s435700b5c5f24bfc9f4204f7141e8d3f">org.apache.hadoop.hdfs.protocol.DSQuotaExceededException: 
+The DiskSpace quota of /user/tenant is exceeded: 
+quota = 314572800 B = 300 MB but diskspace consumed = 402653184 B = 384 MB at 
+org.apache.hadoop.hdfs.server.namenode.DirectoryWithQuotaFeature.verifyStoragespaceQuota(DirectoryWithQuotaFeature.java:211) at 
+org.apache.hadoop.hdfs.server.namenode.DirectoryWithQuotaFeature.verifyQuota(DirectoryWithQuotaFeature.java:239) at 
+org.apache.hadoop.hdfs.server.namenode.FSDirectory.verifyQuota(FSDirectory.java:941) at 
+org.apache.hadoop.hdfs.server.namenode.FSDirectory.updateCount(FSDirectory.java:745)</pre>
+<p id="mrs_01_1473__a0c67483a916b47b2ab939a98f24ea97f">If such exception occurs, configure a sufficient disk space quota for the tenant.</p>
+<p id="mrs_01_1473__aa37be78269284e64823504fc45205c75">For example:</p>
+<p id="mrs_01_1473__aad4a9dab7ff34d81ac057a3f8609732b">If the HDFS replication factor is 3 and HDFS default block size is 128 MB, then at least 384 MB (no. of block x block_size x replication_factor of the schema file = 1 x 128 x 3 = 384 MB) disk space quota is required to write a table schema file to HDFS.</p>
+<div class="note" id="mrs_01_1473__n423b0977cf624128b855d71d1a212d5f"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1473__a6099ccc414c24b2cac932908ae73611c">In case of fact files, as the default block size is 1024 MB, the minimum space required is 3072 MB per fact file for data load.</p>
+</div></div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1457.html">CarbonData FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1474.html b/docs/mrs/component-operation-guide/mrs_01_1474.html
new file mode 100644
index 000000000..c954b73e0
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1474.html
@@ -0,0 +1,24 @@
+<a name="mrs_01_1474"></a><a name="mrs_01_1474"></a>
+
+<h1 class="topictitle1">Why Does Data Query or Loading Fail and "org.apache.carbondata.core.memory.MemoryException: Not enough memory" Is Displayed?</h1>
+<div id="body1595920217113"><div class="section" id="mrs_01_1474__s32e8fb6882ae433d9dc51e0975a36376"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1474__a229d3f983c0447c8801c8a63ebbf2531">Why does data query or loading fail and "org.apache.carbondata.core.memory.MemoryException: Not enough memory" is displayed?</p>
+</div>
+<div class="section" id="mrs_01_1474__s715ca1e23e314af2ac4071272b0530ae"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1474__a53fde1a2b653437f917799eeeef4ea28">This exception is thrown when the out-of-heap memory required for data query and loading in the executor is insufficient.</p>
+<p id="mrs_01_1474__a21b1c39be02d4e048c6faee76acbc24a">In this case, increase the values of <strong id="mrs_01_1474__b13523121135119">carbon.unsafe.working.memory.in.mb</strong> and <strong id="mrs_01_1474__b45294119516">spark.yarn.executor.memoryOverhead</strong>.</p>
+<p id="mrs_01_1474__a5d25d2c085b44f769ada81894d743c39">For details, see <a href="mrs_01_1472.html">How Do I Configure Unsafe Memory in CarbonData?</a>.</p>
+<p id="mrs_01_1474__aa5dc76b953964c9dbb095f44f100ace1">The memory is shared by data query and loading. Therefore, if the loading and query operations need to be performed at the same time, you are advised to set <strong id="mrs_01_1474__b135202011135114">carbon.unsafe.working.memory.in.mb</strong> and <strong id="mrs_01_1474__b12520131118510">spark.yarn.executor.memoryOverhead</strong> to a value greater than 2,048 MB.</p>
+<p id="mrs_01_1474__a8579a48f0feb4c7f96df6f73d8e22095">The following formula can be used for estimation:</p>
+<p id="mrs_01_1474__aefc3788228444bab8289f0c8ce039bd3">Memory required for data loading:</p>
+<p id="mrs_01_1474__a3fe80cf6b46f4c2eb814c6f3f2f69dec">carbon.number.of.cores.while.loading [default value is 6] x Number of tables to load in parallel x offheap.sort.chunk.size.inmb [default value is 64 MB] + carbon.blockletgroup.size.in.mb [default value is 64 MB] + Current compaction ratio [64 MB/3.5])</p>
+<p id="mrs_01_1474__ac8ee35f0a9c7441db1818f14956a4f2c">= Around 900 MB per table</p>
+<p id="mrs_01_1474__a62c9197550b3418dbe8bc45ef46015bb">Memory required for data query:</p>
+<p id="mrs_01_1474__a16cdc26693d841798559cc6706c3ed2b">(SPARK_EXECUTOR_INSTANCES. [default value is 2] x (carbon.blockletgroup.size.in.mb [default value: 64 MB] + carbon.blockletgroup.size.in.mb [default value = 64 MB x 3.5) x Number of cores per executor [default value: 1])</p>
+<p id="mrs_01_1474__aa0ec0b13a24a4890a3263c299c60215e">= ~ 600 MB</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1457.html">CarbonData FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1565.html b/docs/mrs/component-operation-guide/mrs_01_1565.html
new file mode 100644
index 000000000..b7772dfe5
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1565.html
@@ -0,0 +1,15 @@
+<a name="mrs_01_1565"></a><a name="mrs_01_1565"></a>
+
+<h1 class="topictitle1">Configuring Parameter Paths</h1>
+<div id="body1596163871701"><p id="mrs_01_1565__a02f62ea0a3074d098806913bfadbc82a">All parameters of Flink must be set on a client. The path of a configuration file is as follows: <em id="mrs_01_1565__i083615503478">Client installation path</em><strong id="mrs_01_1565__b1893531432514">/Flink/flink/conf/flink-conf.yaml</strong>.</p>
+<div class="note" id="mrs_01_1565__n713d10fd4fa7400b8fd460e1348e6097"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1565__ue793ee27c18146fba120c8535794cb3b"><li id="mrs_01_1565__l929e09950abc4cf8b8d5a3767dc67a11">You are advised to set the parameters in the format of <em id="mrs_01_1565__i881603382815">Key</em><strong id="mrs_01_1565__b16702153619281">:</strong><em id="mrs_01_1565__i7461846162813"> Value</em> in the <strong id="mrs_01_1565__b65472975810618">flink-conf.yaml</strong> configuration file on the client.<p id="mrs_01_1565__en-us_topic_0085562726_p125411214454">Example: <strong id="mrs_01_1565__en-us_topic_0085562726_b338810717450">taskmanager.heap.size: 1024mb</strong></p>
+<p id="mrs_01_1565__a6f17f3f619ea4f55a8e48c3ac6eef383">A space is required between <em id="mrs_01_1565__i167751054810618">Key</em><strong id="mrs_01_1565__b86684719110618">:</strong> and <em id="mrs_01_1565__i195422662210618">Value</em>.</p>
+</li><li id="mrs_01_1565__l083a819fc83b4f7ba2339c5e96535453">If parameters are modified in the Flink service configuration, you need to download and install the client again after the configuration is complete.</li></ul>
+</div></div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0592.html">Flink Configuration Management</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1566.html b/docs/mrs/component-operation-guide/mrs_01_1566.html
new file mode 100644
index 000000000..6081aeaa2
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+++ b/docs/mrs/component-operation-guide/mrs_01_1566.html
@@ -0,0 +1,471 @@
+<a name="mrs_01_1566"></a><a name="mrs_01_1566"></a>
+
+<h1 class="topictitle1">JobManager &amp; TaskManager</h1>
+<div id="body1596163871711"><div class="section" id="mrs_01_1566__s37de34af348a4aedaca57628992c03f1"><h4 class="sectiontitle">Scenarios</h4><p id="mrs_01_1566__af83f64b8d57840fbaa8c253499ff0fc7">JobManager and TaskManager are main components of Flink. You can configure the parameters for different security and performance scenarios on the client.</p>
+</div>
+<div class="section" id="mrs_01_1566__s87f4ed2ef9884baaafdcd2fdad4ffa20"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_1566__a25950099a9464b9abaf3df702d1296ef">Main configuration items include communication port, memory management, connection retry, and so on.</p>
+<p id="mrs_01_1566__p755512334503">For versions earlier than MRS 3.x, see <a href="#mrs_01_1566__table91792019191713">Table 1</a>.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1566__table91792019191713"></a><a name="table91792019191713"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1566__table91792019191713" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters</caption><thead align="left"><tr id="mrs_01_1566__row91791919191719"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.2.4.2.5.1.1"><p id="mrs_01_1566__p5179111941713">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15%" id="mcps1.3.2.4.2.5.1.2"><p id="mrs_01_1566__p101796192178">Mandatory</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15%" id="mcps1.3.2.4.2.5.1.3"><p id="mrs_01_1566__p13179111951711">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="45%" id="mcps1.3.2.4.2.5.1.4"><p id="mrs_01_1566__p61791419191711">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1566__row18179121931710"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1566__p27068241192">taskmanager.rpc.port</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1566__p14805194821916">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1566__p7931104141917">32326-32390</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1566__p191319325196">IPC port range of TaskManager</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__row1318010197178"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1566__p12707152413197">taskmanager.data.port</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1566__p08051848141916">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1566__p6932124114198">32391-32455</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1566__p63208405486">Data exchange port range of TaskManager</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__row1518091921713"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1566__p4707324151912">taskmanager.data.ssl.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1566__p168057488199">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1566__p793215413197">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1566__p15131432131912">Whether to enable secure sockets layer (SSL) encryption for data transfer between TaskManagers. This parameter is valid only when the global switch <strong id="mrs_01_1566__b17051070610128">security.ssl</strong> is enabled.</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__row1573125391914"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1566__p183181422014">taskmanager.numberOfTaskSlots</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1566__p1435613268202">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1566__p13588161916209">3</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1566__p1642051219208">Number of slots occupied by TaskManager. Generally, the value is configured as the number of cores of the physical machine. In <strong id="mrs_01_1566__b100663065010128">yarn-session</strong> mode, the value can be transmitted by only the <strong id="mrs_01_1566__b200633477810128">-s</strong> parameter. In <strong id="mrs_01_1566__b22446058010128">yarn-cluster</strong> mode, the value can be transmitted by only the <strong id="mrs_01_1566__b201508298610128">-ys</strong> parameter.</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__row989714536194"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1566__p4402174222019">parallelism.default</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1566__p192878302119">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1566__p1296485510203">1</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1566__p1658184920204">Number of concurrent job operators.</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__row642515491913"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1566__p12402142162018">taskmanager.memory.size</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1566__p14287139218">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1566__p7964205582016">0</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1566__p14581204917204">Amount of heap memory of the Java virtual machine (JVM) that TaskManager reserves for sorting, hash tables, and caching of intermediate results. If unspecified, the memory manager will take a fixed ratio with respect to the size of JVM as specified by <strong id="mrs_01_1566__b140467680210128">taskmanager.memory.fraction</strong>. The unit is MB.</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__row058545431917"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1566__p11402114211204">taskmanager.memory.fraction</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1566__p328716372110">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1566__p14964755192019">0.7</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1566__p17581134915204">Ratio of JVM heap memory that TaskManager reserves for sorting, hash tables, and caching of intermediate results.</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__row1291515543199"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1566__p340284282015">taskmanager.memory.off-heap</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1566__p228719313215">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1566__p11964955192012">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1566__p5581104992012">Whether TaskManager uses off-heap memory for sorting, hash tables and intermediate status. You are advised to enable this item for large memory needs to improve memory operation efficiency.</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__row11180119121715"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1566__p1248825152110">taskmanager.memory.segment-size</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1566__p467918434213">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1566__p8544123719210">32768</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1566__p128293116218">Size of memory segment on TaskManager. Memory segment is the basic unit of the reserved memory space and is used to configure network buffer stacks. The unit is bytes.</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__row126421921102118"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1566__p5481825162119">taskmanager.memory.preallocate</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1566__p1567924314215">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1566__p7544537122117">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1566__p7282173110219">Whether TaskManager allocates reserved memory space upon startup. You are advised to enable this item when off-heap memory is used.</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__row6418222102114"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1566__p310114802216">taskmanager.registration.initial-backoff</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1566__p157412562211">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1566__p640731912215">500 ms</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1566__p5189101462212">Initial interval between two consecutive registration attempts. The unit is ms/s/m/h/d.</p>
+<div class="note" id="mrs_01_1566__note397143972210"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1566__p3971939202218">The time value and unit are separated by half-width spaces. ms/s/m/h/d indicates millisecond, second, minute, hour, and day, respectively.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1566__row1160062212111"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1566__p11021185225">taskmanager.registration.refused-backoff</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1566__p574182582218">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1566__p540711198226">5 min</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1566__p18190614172219">Retry interval when a registration connection is rejected by JobManager.</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__row7534193714615"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1566__p65352371662">task.cancellation.interval</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1566__p1553514371964">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1566__p1535537569">30000</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1566__p953513715610">Interval between two successive task cancellation attempts.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1566__p16411174011513">For configuration items for MRS 3.x or later, see <a href="#mrs_01_1566__te81a0f353e104e35876ef72d81a3d44e">Table 2</a>.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1566__te81a0f353e104e35876ef72d81a3d44e"></a><a name="te81a0f353e104e35876ef72d81a3d44e"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1566__te81a0f353e104e35876ef72d81a3d44e" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Parameters</caption><thead align="left"><tr id="mrs_01_1566__r9bf21dee27c1474a98f16a987ed5cab8"><th align="left" class="cellrowborder" valign="top" width="20.89%" id="mcps1.3.2.6.2.5.1.1"><p id="mrs_01_1566__a8e23e06ceca84cbdbb3af5e3fc710bb2">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="54.059999999999995%" id="mcps1.3.2.6.2.5.1.2"><p id="mrs_01_1566__a22e36cea2dda499fbacebef55b7d73b0">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="16.189999999999998%" id="mcps1.3.2.6.2.5.1.3"><p id="mrs_01_1566__a017731ba9c1844f9a36bdf112b44d12b">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="8.86%" id="mcps1.3.2.6.2.5.1.4"><p id="mrs_01_1566__a3a9ac920c60f402e9f4972a4ae624ce1">Mandatory</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1566__rea050d8fc35c4a33b3b5e9d402cc3baf"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__a040e298402be427fb6c22e4c489b3299">taskmanager.rpc.port</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__a43331e7b6272416291e522983b1aabaf">IPC port range of TaskManager</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__aa2f0990c9bc544959cf043293038e97d">32326-32390</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__a2aeabfb9a4964d9c9a44fa632dbb6dc8">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__r2b1cf1bfe1ee4406aaf4b3b99207a372"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__a80361eeb533946ada96ff530009ff8a6">client.rpc.port</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__a24717950dd124a8196a8c5b9bd832428">Akka system listening port on the Flink client.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__abf06b9b354f743b3b48a937db0a5cecb">32651-32720</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__a02f84f2414a342fd8a0016dcda12204d">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__rfe1b156131274e8dbf2f2ccf0371756e"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__abc5399585dd04f899df8eab839a58ca5">taskmanager.data.port</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__ac9635d613eee4bc4b5881107d1545d05">Data exchange port range of TaskManager</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__ad0b9a5ab76844059a78b7cef607227f7">32391-32455</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__a6d30a836bcbc43caba6175c31e44ef64">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__r41159857fa584384b9a308ff50960624"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__aac6d93d3a3f948de842903ee10826256">taskmanager.data.ssl.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__a2fc97a678b7c44d1b34ec51e5087bc9b">Whether to enable secure sockets layer (SSL) encryption for data transfer between TaskManagers. This parameter is valid only when the global switch <strong id="mrs_01_1566__b209184437314">security.ssl</strong> is enabled.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__a127dab81d0e24ca2a129b158082ecf77">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__abc93ad3eec5041c08ab358d48383d07c">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__rbb9e0662d8fb4b798556868d0210c0e2"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__a3bd3fa01ce7c4f389ca0e1395b884ad0">jobmanager.heap.size</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__ab6bef408ae824d3689a87b2ec3cb2218">Size of the heap memory of JobManager. In <strong id="mrs_01_1566__b129261256110128">yarn-session</strong> mode, the value can be transmitted by only the <strong id="mrs_01_1566__b200700685110128">-jm</strong> parameter. In <strong id="mrs_01_1566__b148983964810128">yarn-cluster</strong> mode, the value can be transmitted by only the <strong id="mrs_01_1566__b202038154410128">-yjm</strong> parameter. If the value is smaller than <strong id="mrs_01_1566__b176011329510128">yarn.scheduler.minimum-allocation-mb</strong> in the Yarn configuration file, the Yarn configuration value is used. Unit: B/KB/MB/GB/TB.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__ac421399c13d541c0aa003951ce382c9d">1024mb</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__a961dffd3702b4b878b78ced2be330976">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__r02b8cc18bda44121ba7c6a82f2e5fb20"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__af401e03a945c48f992bbed62850484b3">taskmanager.heap.size</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__a401fc42982044a60b9713d2cea93f0c5">Size of the heap memory of TaskManager. In <strong id="mrs_01_1566__b561910237519">yarn-session</strong> mode, the value can be transmitted by only the <strong id="mrs_01_1566__b161911231453">-tm</strong> parameter. In <strong id="mrs_01_1566__b156198237519">yarn-cluster</strong> mode, the value can be transmitted by only the <strong id="mrs_01_1566__b06201623653">-ytm</strong> parameter. If the value is smaller than <strong id="mrs_01_1566__b15620523558">yarn.scheduler.minimum-allocation-mb</strong> in the Yarn configuration file, the Yarn configuration value is used. The unit is B/KB/MB/GB/TB.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__a40707414b5394394baf1ea7547d562d7">1024mb</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__ae8eebec32b89419399e3f727410b6578">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__re0014b2ddde9493786ee27b03822800c"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__a11c37759aec14ea196f6160122503cc0">taskmanager.numberOfTaskSlots</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__ac288f9080a824313952ec7513ecd5061">Number of slots occupied by TaskManager. Generally, the value is configured as the number of cores of the physical machine. In <strong id="mrs_01_1566__b183271545268">yarn-session</strong> mode, the value can be transmitted by only the <strong id="mrs_01_1566__b43331453613">-s</strong> parameter. In <strong id="mrs_01_1566__b1133314519616">yarn-cluster</strong> mode, the value can be transmitted by only the <strong id="mrs_01_1566__b133336459613">-ys</strong> parameter.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__a6f571606ce1b44df944d85fbceb7d38f">1</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__af9953b00cac045a28974c4902d9bd107">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__r993de2c024f641ee96970d5e9141c82d"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__ae5c4b350e21949358353bf068d46a912">parallelism.default</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__a71e3a33d5f3c4fe3bed684473eee51aa">Default degree of parallelism, which is used for jobs for which the degree of parallelism is not specified</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__aa83cb3407cb44443ab67b84f3004abf3">1</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__a2e7980f4b1254968832fd9419ab9a4aa">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__r66796a26463c404cb957a9388323a1c8"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__a52c2fa5a24a24477b455752619934be8">taskmanager.network.numberOfBuffers</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__a2ab4723048a74348b9ad69940a67a158">Number of TaskManager network transmission buffer stacks. If an error indicates insufficient system buffer, increase the parameter value.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__aa51af8dad1484534859de1113d3c448c">2048</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__a3ba9bf8ed5c649ff840c633ce7e77685">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__r710046da2b2648888b8e9b6c04c253a7"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__a4cc366765f1f4f62a3ee5e14ba082ba7">taskmanager.memory.fraction</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__adf5eceb054fb449daa051ccb2cece3bc">Ratio of JVM heap memory that TaskManager reserves for sorting, hash tables, and caching of intermediate results.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__a95023167d72b47649618370dc80c381a">0.7</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__ae6dfeb84d6b94163bdfaf4cc14e4e155">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__rad20b036797f41a0b949f310b08c329e"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__a3308505cf7534a8598351ca45563334e">taskmanager.memory.off-heap</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__afee6ea5cb082436ab8183f9fe9505b45">Whether TaskManager uses off-heap memory for sorting, hash tables and intermediate status. You are advised to enable this item for large memory needs to improve memory operation efficiency.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__a56e430bdccc34041a5b79837eff7dafa">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__a82430e0e7b59492abd7bc44773f58b1a">Yes</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__re11fe0f7d9eb461aabc9c5ad5a8c9695"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__a7fafe97910b5440e95e316c5f7206d53">taskmanager.memory.segment-size</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__a544bf2209a4147b8b685399d4954157d">Size of the memory buffer used by the memory manager and network stack The unit is bytes.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__a0c44fb4884a34d57a4a909a08c6c117b">32768</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__a5b18355b22b7498e884e91ff159832c3">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__r290a84a362d045c59d9aceeda0c8a465"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__af3136de213d84fa69bd784346d74aee8">taskmanager.memory.preallocate</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__ac6fcbc657a74402387c8a52ed36882ac">Whether TaskManager allocates reserved memory space upon startup. You are advised to enable this item when off-heap memory is used.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__af0f0fdf42ff147fb8014bcdb8708aedd">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__a9f1376744296453592ccfb8c11b66d00">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__r07fd28daceea4fc79b6b019f89667d63"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__a4434c95d664542a0afa8063b20c4a16a">taskmanager.debug.memory.startLogThread</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__a187380fc658a46bcb85fb417bb3eb608">Enable this item for debugging Flink memory and garbage collection (GC)-related problems. TaskManager periodically collects memory and GC statistics, including the current utilization of heap and off-heap memory pools and GC time.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__a3a36b5d1039240409b6dffee1b40b649">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__aff92620b5c1941c29bacf11855e3af7c">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__rbe62af5767704161863bf605fda72bf4"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__a5285ae89c9fa4f3cb86382d5121eb125">taskmanager.debug.memory.logIntervalMs</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__a209eda2b2eba4dcb9794ce8a26c166d7">Interval at which TaskManager periodically collects memory and GC statistics.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__a3bd6c6b0ca5a42d190267c73a3dd66a1">0</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__a0859e8adf03342ffa041f05966ef15e0">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__r1358adc2920340ba999a24be168ebd19"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__a1582f9c6e256463e851b2e6ff48312b7">taskmanager.maxRegistrationDuration</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__a46df53f7ee9543d4b90b13002192e84a">Maximum duration of TaskManager registration on JobManager. If the actual duration exceeds the value, TaskManager is disabled.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__p9482541182120">5 min</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__ac37dfc89ae4b471abad8a4b0133f337a">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__r60a1f06366ba49368165c58165f44a8c"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__abb94b4c194bb488fbc9dfd5a8ea5b72a">taskmanager.initial-registration-pause</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__a0aefcb7805454984ad3ac139bb06ef35">Initial interval between two consecutive registration attempts. The value must contain a time unit (ms/s/min/h/d), for example, 5 seconds.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__ae794d79c35c24891af0c965de3e9d2c6">500ms</p>
+<div class="note" id="mrs_01_1566__nffc1b47a75714298a6efa761574d4160"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1566__af3e24bd57a3a49c5af18793d94488660">The time value and unit are separated by half-width spaces. ms/s/m/h/d indicates millisecond, second, minute, hour, and day, respectively.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__a26e58e9beaae4d8b87415536b135d841">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__r5d240b6d880a4a2289200990c2b37349"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__a406c111cbe2a44b7819e3f8eb3900952">taskmanager.max-registration-pause</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__aacf6c7d032914a97a1b41fe97db441a4">Maximum registration retry interval in case of TaskManager registration failures. The unit is ms/s/m/h/d.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__a6d32db98bf744f15ad90cdbda4f1bbe5">30s</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__a1f4c4166b5844b0a87b84f8c9d71682d">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__ra121f1ccf1004a66855fce4ba3a76379"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__a103910f8ee554ffd929630e4b2334b7b">taskmanager.refused-registration-pause</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__af1ef5bf3efa348da83746b6853c060ca">Retry interval when a TaskManager registration connection is rejected by JobManager. The unit is ms/s/m/h/d.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__aa4b19954430b45b4af7dd8c3028bf339">10s</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__a24af1e2696fd48439c7eb48623ddc2ef">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__r71d65fc085944d94a6456d7c5628562f"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__af35cb11126074146a8513e6b0bd0eb28">task.cancellation.interval</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__a9364edd7e64a44a7bc9a77851ccc3a34">Interval between two successive task cancellation attempts. The unit is millisecond.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__a6b7801ab89374618a2119ab258cb94ae">30000</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__aa567a627694e4ba1a50e4118aa78ebf6">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__row1610263912167"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__p5945121019259">classloader.resolve-order</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__p1610315397166">Class resolution policies defined when classes are loaded from user codes, which means whether to first check the user code JAR file (<strong id="mrs_01_1566__b159596440435">child-first</strong>) or the application class path (<strong id="mrs_01_1566__b123821440194314">parent-first</strong>). The default setting indicates that the class is first loaded from the user code JAR file, which means that the user code JAR file can contain and load dependencies that are different from those used by Flink.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__p1610313981615">child-first</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__p4210103518308">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__row14104739191614"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__p2252141914244">slot.idle.timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__p14292315276">Timeout for an idle slot in Slot Pool, in milliseconds.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__p18677143315291">50000</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__p1244183583014">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__row1872013380214"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__p132523197243">slot.request.timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__p15291039277">Timeout for requesting a slot from Slot Pool, in milliseconds.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__p1267716339292">300000</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__p1225463523017">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__row14720163802115"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__p19252219202418">task.cancellation.timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__p22910342719">Timeout of task cancellation, in milliseconds. If a task cancellation times out, a fatal TaskManager error may occur. If this parameter is set to <strong id="mrs_01_1566__b16391373410128">0</strong>, no error is reported when a task cancellation times out.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__p16677633122917">180000</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__p1226413352308">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__row57212384219"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__p10253319162414">taskmanager.network.detailed-metrics</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__p192915315270">Indicates whether to enable the detailed metrics monitoring of network queue lengths.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__p13869157133017">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__p527493517306">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__row185395573216"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__p1325313196247">taskmanager.network.memory.buffers-per-channel</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__p3299314276">Maximum number of network buffers used by each output/input channel (sub-partition/incoming channel). In credit-based flow control mode, this indicates how much credit is in each input channel. It should be configured with at least 2 buffers to deliver good performance. One buffer is used to receive in-flight data in the sub-partition, and the other for parallel serialization.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__p13869979307">2</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__p028511354307">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__row185401057202110"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__p72531619112411">taskmanager.network.memory.floating-buffers-per-gate</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__p629113122717">Number of extra network buffers used by each output gate (result partition) or input gate, indicating the amount of floating credit shared among all input channels in credit-based flow control mode. Floating buffers are distributed based on the backlog feedback (real-time output buffers in sub-partitions) and can help mitigate back pressure caused by unbalanced data distribution among sub-partitions. Increase this value if the round-trip time between nodes is long and/or the number of machines in the cluster is large.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__p188702715302">8</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__p82951835193018">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__row15540057172111"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__p52536196245">taskmanager.network.memory.fraction</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__p1630918349275">Ratio of JVM memory used for network buffers, which determines how many streaming data exchange channels a TaskManager can have at the same time and the extent of channel buffering. Increase this value or the values of <strong id="mrs_01_1566__b1299417733818">taskmanager.network.memory.min</strong> and <strong id="mrs_01_1566__b4784151693816">taskmanager.network.memory.max</strong> if the job is rejected or a warning indicating that the system does not have enough buffers is received. Note that the values of <strong id="mrs_01_1566__b109072152407">taskmanager.network.memory.min</strong> and <strong id="mrs_01_1566__b15208131994015">taskmanager.network.memory.max</strong> may overwrite this value.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__p887097113014">0.1</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__p203041135193018">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__row054055712117"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__p2253519162417">taskmanager.network.memory.max</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__p17309634112714">Maximum memory size of the network buffer. The value must contain a unit (B/KB/MB/GB/TB).</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__p188704763013">1 GB</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__p11313163510309">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__row175411457102120"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__p15253819172410">taskmanager.network.memory.min</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__p530923482713">Minimum memory size of the network buffer. The value must contain a unit (B/KB/MB/GB/TB).</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__p6870147183014">64 MB</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__p20322103518304">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__row20541115715217"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__p125391922416">taskmanager.network.request-backoff.initial</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__p25411557102113">Minimum backoff for partition requests of input channels.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__p2087014763018">100</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__p193321835203010">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__row65419576214"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__p2025301922413">taskmanager.network.request-backoff.max</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__p1354115752114">Maximum backoff for partition requests of input channels.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__p18709763017">10000</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__p53421635153016">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__row20721123813211"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__p9253151910248">taskmanager.registration.timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__p927707152919">Timeout for TaskManager registration. TaskManager will be terminated if it is not successfully registered within the specified time. The value must contain a time unit (ms/s/min/h/d).</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__p198706773011">5 min</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__p1935219350305">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1566__row923218194523"><td class="cellrowborder" valign="top" width="20.89%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1566__p32328193529">resourcemanager.taskmanager-timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.059999999999995%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1566__p723216195524">Timeout interval for releasing an idle TaskManager, in milliseconds.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.189999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1566__p423213192520">30000</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.86%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1566__p8529155835211">No</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0592.html">Flink Configuration Management</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1567.html b/docs/mrs/component-operation-guide/mrs_01_1567.html
new file mode 100644
index 000000000..284128178
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1567.html
@@ -0,0 +1,84 @@
+<a name="mrs_01_1567"></a><a name="mrs_01_1567"></a>
+
+<h1 class="topictitle1">Blob</h1>
+<div id="body1596163871715"><div class="section" id="mrs_01_1567__s2907a8ef3b24408fa1726c426993c7ef"><h4 class="sectiontitle">Scenarios</h4><p id="mrs_01_1567__aee960e74b9f34d4ab06fd0d9a1c02cfc">The <span id="mrs_01_1567__ph3554933871084">Blob server</span> on the <span id="mrs_01_1567__ph4156709531084">JobManager</span> node is used to receive JAR files uploaded by users on the client, send <span id="mrs_01_1567__ph3134183881084">JAR files</span> to <span id="mrs_01_1567__ph7451928551084">TaskManager</span>, and transfer log files. Flink provides some items for configuring the Blob server. You can configure them in the <span class="filepath" id="mrs_01_1567__filepath9812393431084"><b>flink-conf.yaml</b></span> configuration file.</p>
+</div>
+<div class="section" id="mrs_01_1567__s1dda55073bdf40e98843ebd36d00dbe1"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_1567__ad07a581e610a4f82bcaca1dd20c7fa7b">Users can configure the port, SSL, retry times, and concurrency.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1567__t8681d04030274ad1ac93e9e0a10e132c" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters</caption><thead align="left"><tr id="mrs_01_1567__r7540ecc2d5a747e5a14b76145b9439f4"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.2.3.2.5.1.1"><p id="mrs_01_1567__a2f7bb0a3060e49e384857816a86673b7">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="37.28%" id="mcps1.3.2.3.2.5.1.2"><p id="mrs_01_1567__ab48dd49e62674d2890cf28f8caad6dcb">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="22.79%" id="mcps1.3.2.3.2.5.1.3"><p id="mrs_01_1567__a7a53e097d0e64736b9a2d2c4a6dde592">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="14.93%" id="mcps1.3.2.3.2.5.1.4"><p id="mrs_01_1567__acf1a6b6ced9a4421ade24e44188b4e0a">Mandatory</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1567__r09d34cca8e9742859b079eb9ad05d644"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1567__a11b0d66f367642a08052e705611aa133">blob.server.port</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.28%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1567__a18586dc1f072476f85a1340248e6bf12">Blob server port</p>
+</td>
+<td class="cellrowborder" valign="top" width="22.79%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1567__a3c89d1fd315e4f6b8894e89f10b53c6f">32456 to 32520</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.93%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1567__aa9823911a1234fb190aa631c86649d47">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1567__rd9cb29afd02c49d781fd71898581d498"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1567__a657e7bce4a164bc9be641554439af672">blob.service.ssl.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.28%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1567__a8559b08fed74435bbbc0c9dde5c55744">Indicates whether to enable the encryption for the blob transmission channel. This parameter is valid only when the global switch <strong id="mrs_01_1567__b7684847721084">security.ssl</strong> is enabled.</p>
+</td>
+<td class="cellrowborder" valign="top" width="22.79%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1567__a73c0dcb5566d4cb09c77c720613cf633">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.93%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1567__ac0ac1c4be13240179ca709d9efc6613d">Yes</p>
+</td>
+</tr>
+<tr id="mrs_01_1567__rde69cfb0c6d84a1a8d570aeb01e25b8b"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1567__a0cca223e2537445ea291e0b4366d20f3">blob.fetch.retries</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.28%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1567__a32d72f9686274bcdbc154570b526750a">Number of times that TaskManager tries to download blob files from JobManager.</p>
+</td>
+<td class="cellrowborder" valign="top" width="22.79%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1567__a66ce81d10fa24e4aa7e3da719969bcef">50</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.93%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1567__a4d620b941650443485b5b1a4ca4a7c38">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1567__rccfdd6ea334c494c9a6ff9bfc8e6d42d"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1567__a8c2d3ad94baf4ddab17e204aee4dd193">blob.fetch.num-concurrent</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.28%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1567__a92da2aa4fb894110bf7c678edcc5757c">Number of concurrent tasks for downloading blob files supported by JobManager.</p>
+</td>
+<td class="cellrowborder" valign="top" width="22.79%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1567__a56c0042d3fb247079a9173319877f85c">50</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.93%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1567__a60dcca3fa3184c2c827d265be2af93a8">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1567__r100fb969b86f410680b1ee9b017b6694"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1567__a8c154b12c7c748b38efc31776cabee2b">blob.fetch.backlog</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.28%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1567__ae85937ea648a41a9bc698b79eb0ad85f">Number of blob files, such as <strong id="mrs_01_1567__b1549091382715">.jar</strong> files, to be downloaded in the queue supported by JobManager. The unit is count.</p>
+</td>
+<td class="cellrowborder" valign="top" width="22.79%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1567__a4f9f480e35374494bd2914cf1cc5aee7">1000</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.93%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1567__a765fe8d278114fc48961a017a045cfca">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1567__r78b87f82197a4d0c98d9365d0a629404"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1567__aa385d06fcffe4f2eaeedd368748fd793">library-cache-manager.cleanup.interval</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.28%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1567__ab87fe3ea483f4a5f9db4b68bb516348e">Interval at which JobManager deletes the JAR files stored on the HDFS when the user cancels the Flink job. The unit is second.</p>
+</td>
+<td class="cellrowborder" valign="top" width="22.79%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1567__ad2f2c835daf94681b43ff9bde723034c">3600</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.93%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1567__af25d72d56eb34c1caa3a03761e100726">No</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_1567__note2495182912427"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1567__p134968291427">For versions earlier than MRS 3.x, <strong id="mrs_01_1567__b15618213291">library-cache-manager.cleanup.interval</strong> cannot be configured.</p>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0592.html">Flink Configuration Management</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1568.html b/docs/mrs/component-operation-guide/mrs_01_1568.html
new file mode 100644
index 000000000..4ac97cdad
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1568.html
@@ -0,0 +1,305 @@
+<a name="mrs_01_1568"></a><a name="mrs_01_1568"></a>
+
+<h1 class="topictitle1">Distributed Coordination (via Akka)</h1>
+<div id="body1596163871721"><div class="section" id="mrs_01_1568__s916b9374603d407fb627a5decadb1b17"><h4 class="sectiontitle">Scenarios</h4><p id="mrs_01_1568__a70207ac4bead49bdbdaa4cb25b0f0680">The Akka actor model is the basis of communications between the Flink client and JobManager, JobManager and TaskManager, as well as TaskManager and TaskManager. Flink enables you to configure the Akka connection parameters in the <span class="filepath" id="mrs_01_1568__f1f140b021f2f4816af1f761d8273461b"><b>flink-conf.yaml</b></span> file based on the network environment or optimization policy.</p>
+</div>
+<div class="section" id="mrs_01_1568__s9c75dc74346d4c28b9a3a92635648a3c"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_1568__ae15f510bfb0743b6aeb101d1b1ae268e">You can configure timeout settings of message sending and waiting, and the Akka listening mechanism Deathwatch.</p>
+<p id="mrs_01_1568__p343917335816">For versions earlier than MRS 3.x, see <a href="#mrs_01_1568__table8198157172919">Table 1</a>.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1568__table8198157172919"></a><a name="table8198157172919"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1568__table8198157172919" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters</caption><thead align="left"><tr id="mrs_01_1568__row12198757192914"><th align="left" class="cellrowborder" valign="top" width="20.3%" id="mcps1.3.2.4.2.5.1.1"><p id="mrs_01_1568__p9198145720293">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="10.059999999999999%" id="mcps1.3.2.4.2.5.1.2"><p id="mrs_01_1568__p51981857102912">Mandatory</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="12.950000000000001%" id="mcps1.3.2.4.2.5.1.3"><p id="mrs_01_1568__p12198557152912">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="56.69%" id="mcps1.3.2.4.2.5.1.4"><p id="mrs_01_1568__p11981957142915">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1568__row1198115762915"><td class="cellrowborder" valign="top" width="20.3%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1568__p62145455513">akka.ask.timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.059999999999999%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1568__p13197987564">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.950000000000001%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1568__p5121164135617">10 s</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.69%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1568__p485535814552">Timeout duration of Akka asynchronous and block requests. If a Flink timeout failure occurs, this value can be increased. Timeout occurs when the machine processing speed is slow or the network is blocked. The unit is ms/s/m/h/d.</p>
+</td>
+</tr>
+<tr id="mrs_01_1568__row1719985762912"><td class="cellrowborder" valign="top" width="20.3%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1568__p112554125512">akka.lookup.timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.059999999999999%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1568__p81983835613">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.950000000000001%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1568__p612111417564">10 s</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.69%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1568__p138556589553">Timeout duration for JobManager actor object searching. The unit is ms/s/m/h/d.</p>
+</td>
+</tr>
+<tr id="mrs_01_1568__row519985712915"><td class="cellrowborder" valign="top" width="20.3%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1568__p1721554105514">akka.framesize</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.059999999999999%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1568__p4198188155611">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.950000000000001%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1568__p3121144562">10485760b</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.69%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1568__p885575845510">Maximum size of the message transmitted between JobManager and TaskManager. If a Flink error occurs because the message exceeds this limit, the value can be increased. The unit is b/B/KB/MB.</p>
+</td>
+</tr>
+<tr id="mrs_01_1568__row5199857192912"><td class="cellrowborder" valign="top" width="20.3%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1568__p662721515561">akka.watch.heartbeat.interval</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.059999999999999%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1568__p171973315569">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.950000000000001%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1568__p178702710567">10 s</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.69%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1568__p62841820185610">Heartbeat interval at which the Akka DeathWatch mechanism detects disconnected TaskManager. If TaskManager is frequently and incorrectly marked as disconnected due to heartbeat loss or delay, the value can be increased. The unit is ms/s/m/h/d.</p>
+</td>
+</tr>
+<tr id="mrs_01_1568__row82003573299"><td class="cellrowborder" valign="top" width="20.3%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1568__p7627141511561">akka.watch.heartbeat.pause</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.059999999999999%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1568__p117191133145617">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.950000000000001%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1568__p987927165611">60 s</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.69%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1568__p122843206562">Acceptable heartbeat pause for Akka DeathWatch mechanism. A small value indicates that irregular heartbeat is not accepted. The unit is ms/s/m/h/d.</p>
+</td>
+</tr>
+<tr id="mrs_01_1568__row3200125742911"><td class="cellrowborder" valign="top" width="20.3%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1568__p1657712548571">akka.watch.threshold</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.059999999999999%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1568__p99629169587">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.950000000000001%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1568__p17661013583">12</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.69%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1568__p62761659105717">DeathWatch failure detection threshold. A small value is prone to mark normal TaskManager as failed and a large value increases failure detection time.</p>
+</td>
+</tr>
+<tr id="mrs_01_1568__row1278412518579"><td class="cellrowborder" valign="top" width="20.3%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1568__p10577654165714">akka.tcp.timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.059999999999999%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1568__p18962131615817">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.950000000000001%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1568__p568100588">20 s</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.69%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1568__p192774598574">Timeout duration of Transmission Control Protocol (TCP) connection request. If TaskManager connection timeout occurs frequently due to the network congestion, the value can be increased. The unit is ms/s/m/h/d.</p>
+</td>
+</tr>
+<tr id="mrs_01_1568__row1996655114579"><td class="cellrowborder" valign="top" width="20.3%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1568__p457735415712">akka.throughput</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.059999999999999%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1568__p159623161587">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.950000000000001%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1568__p12661035815">15</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.69%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1568__p027711599579">Number of messages processed by Akka in batches. After an operation, the processing thread is returned to the thread pool. A small value indicates the fair scheduling for actor message processing. A large value indicates improved overall performance but lowered scheduling fairness.</p>
+</td>
+</tr>
+<tr id="mrs_01_1568__row715211529576"><td class="cellrowborder" valign="top" width="20.3%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1568__p689014019581">akka.log.lifecycle.events</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.059999999999999%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1568__p515112165912">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.950000000000001%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1568__p124581561583">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.69%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1568__p1396295065813">Switch of Akka remote time logging, which can be enabled for debugging.</p>
+</td>
+</tr>
+<tr id="mrs_01_1568__row532715214576"><td class="cellrowborder" valign="top" width="20.3%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1568__p138902040135813">akka.startup-timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.059999999999999%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1568__p1015120115912">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.950000000000001%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1568__p34583565582">The default value is the same as the value of <strong id="mrs_01_1568__b1159311094101513">akka.ask.timeout</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.69%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1568__p18962750195818">Timeout duration of remote component started by Akka. The unit is ms/s/m/h/d.</p>
+</td>
+</tr>
+<tr id="mrs_01_1568__row95187522578"><td class="cellrowborder" valign="top" width="20.3%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1568__p6890940145815">akka.ssl.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.059999999999999%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1568__p1215119165913">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.950000000000001%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1568__p1845825613583">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.69%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1568__p16963115016585">Switch of Akka communication SSL. This parameter is valid only when the global switch <strong id="mrs_01_1568__b791133471101513">security.ssl</strong> is enabled.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1568__p1553729914">For configuration items for MRS 3.x or later, see <a href="#mrs_01_1568__tf4c61b7f27244ebcaf53768dc54266f0">Table 2</a>.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1568__tf4c61b7f27244ebcaf53768dc54266f0"></a><a name="tf4c61b7f27244ebcaf53768dc54266f0"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1568__tf4c61b7f27244ebcaf53768dc54266f0" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Parameters</caption><thead align="left"><tr id="mrs_01_1568__r38b20f1f7495477e9bdc81d5ea2d307b"><th align="left" class="cellrowborder" valign="top" width="19.39%" id="mcps1.3.2.6.2.5.1.1"><p id="mrs_01_1568__a7036f355e1a84c748f82fe978736f29c">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="49.6%" id="mcps1.3.2.6.2.5.1.2"><p id="mrs_01_1568__a652bd912d2564edda67216e74f849791">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.440000000000001%" id="mcps1.3.2.6.2.5.1.3"><p id="mrs_01_1568__a2a94bf68002a4cdd8d11177a13d96321">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.57%" id="mcps1.3.2.6.2.5.1.4"><p id="mrs_01_1568__a839743b52a694aeba78f81e9ac6726dd">Mandatory</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1568__r434fe32fb28549088074d2b4d158eb0e"><td class="cellrowborder" valign="top" width="19.39%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1568__a0a0e018a7b45472f9076eabe885cf2df">akka.ask.timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.6%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1568__a0382d9099a50490d8ed4e80eb63af23c">Timeout duration of Akka asynchronous and block requests. If a Flink timeout failure occurs, this value can be increased. Timeout occurs when the machine processing speed is slow or the network is blocked. The unit is ms/s/m/h/d.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.440000000000001%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1568__a8dbcfe88c1e64be680b0969614cf8274">10s</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.57%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1568__ae49a45f92b7643459ae14436a648a3d8">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1568__r1ea8b3eb9d1b485697b31a48856acc99"><td class="cellrowborder" valign="top" width="19.39%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1568__ab2139ee3e1fc448181ef2c0b59fc4393">akka.lookup.timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.6%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1568__a93db33f483f944e1a00628cf2b57189d">Timeout duration for JobManager actor object searching. The unit is ms/s/m/h/d.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.440000000000001%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1568__a6caffeff33f8426ab8be8641d0964379">10s</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.57%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1568__aa332f70a24c34e91b149b78e0d0339ad">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1568__r8215fb67bb7b4f62a081092d9265bcd7"><td class="cellrowborder" valign="top" width="19.39%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1568__af5a561ff11da4e528140e6f0cdbbc5d6">akka.framesize</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.6%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1568__a218d74b6f34e4edaae591b66ff7d1edd">Maximum size of the message transmitted between JobManager and TaskManager. If a Flink error occurs because the message exceeds this limit, the value can be increased. The unit is b/B/KB/MB.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.440000000000001%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1568__a9e52782bb6cc4462b531c48dc15f84ba">10485760b</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.57%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1568__af9b6850eeb0c4bb0a0e1a2a99b4a0367">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1568__rb1e281f784884687aa7645cf7616aa1c"><td class="cellrowborder" valign="top" width="19.39%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1568__a6ce9f0d31f9d4643a2563e6b58142b5e">akka.watch.heartbeat.interval</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.6%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1568__acef0af0d3ef847ff86acf5a6ceb4c092">Heartbeat interval at which the Akka DeathWatch mechanism detects disconnected TaskManager. If TaskManager is frequently and incorrectly marked as disconnected due to heartbeat loss or delay, the value can be increased. The unit is ms/s/m/h/d.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.440000000000001%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1568__a5b1dcd1091774045bb0e4c3f51d1b1e9">10s</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.57%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1568__ab98ae6c7350f4acdbc8ef60f1170143e">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1568__r99acb505c072461784d291b19ba50e10"><td class="cellrowborder" valign="top" width="19.39%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1568__a770f0f7acb3148ae8d6e05ad1dd6cdef">akka.watch.heartbeat.pause</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.6%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1568__a88cc65e01a4c4883bbd75186d4ac97d5">Acceptable heartbeat pause for Akka DeathWatch mechanism. A small value indicates that irregular heartbeat is not accepted. The unit is ms/s/m/h/d.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.440000000000001%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1568__ac912512dcf7e437996331ea1ec73f043">60s</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.57%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1568__a65006eeb79fb4f0fb7457d9dacd2715a">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1568__r5f1fb7f216a04d00a29ca569fd0ce173"><td class="cellrowborder" valign="top" width="19.39%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1568__a8408bbad345749dfa52b57e52eb536db">akka.watch.threshold</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.6%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1568__ad2c18af770234a82a27fabcfa2f8c6d5">DeathWatch failure detection threshold. A small value may mark normal TaskManager as failed and a large value increases failure detection time.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.440000000000001%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1568__a866fff612a564d17a0b7bbfaadab444f">12</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.57%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1568__a2970e03067b24d7fbe88eb0a734b288a">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1568__rd905ba6349f246078da960bdc7937056"><td class="cellrowborder" valign="top" width="19.39%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1568__aa2345019a61944f7aef3f17d50135dba">akka.tcp.timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.6%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1568__a6c57613515a348cf9cc02333d7d6ae0a">Timeout duration of Transmission Control Protocol (TCP) connection request. If TaskManager connection timeout occurs frequently due to the network congestion, the value can be increased. The unit is ms/s/m/h/d.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.440000000000001%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1568__acda42ea008bb46c1b87a3055e4b64851">20s</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.57%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1568__a866359168bc34b0ba9d04d433303f9c2">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1568__r0b46b743ac294e618e8a71de7c4c1278"><td class="cellrowborder" valign="top" width="19.39%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1568__acc18115d3f5c4174a943f2f228b9f0fe">akka.throughput</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.6%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1568__af1a6568f84f44ab7bcbfa330462b9cd4">Number of messages processed by Akka in batches. After an operation, the processing thread is returned to the thread pool. A small value indicates the fair scheduling for actor message processing. A large value indicates improved overall performance but lowered scheduling fairness.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.440000000000001%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1568__a30576c2659444e688b6d942c81251ca0">15</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.57%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1568__afad86c4df0a84bb686ba42bb57bdd424">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1568__r5b405b44b0654fc785d87c656455086f"><td class="cellrowborder" valign="top" width="19.39%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1568__a8a0aa9b67552461e909bc1f7d02d1064">akka.log.lifecycle.events</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.6%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1568__a86e1b4c1ee664021b55b937b2b94df43">Switch of Akka remote time logging, which can be enabled for debugging.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.440000000000001%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1568__a6fc2bb020b66478c8f258b419ced7b11">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.57%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1568__a177a611649e5488598a8aa95557420f0">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1568__r1ae1a1ea43f943deb889caed156ac5a6"><td class="cellrowborder" valign="top" width="19.39%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1568__ac4eed7b129334f2693a4d361a4c0f3b9">akka.startup-timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.6%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1568__a587b2a41fd06435381302f7c9d88414d">Timeout interval before a remote component fails to be started. The value must contain a time unit (ms/s/min/h/d).</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.440000000000001%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1568__a0ffd931740244852a5aac1a4a3398097">The default value is the same as the value of <strong id="mrs_01_1568__b1552974051101513">akka.ask.timeout</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.57%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1568__a565535db01de42e6b2aa8ab52808c7f2">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1568__raf2ee71bf62b42e1badb6533698b8381"><td class="cellrowborder" valign="top" width="19.39%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1568__a44627bc126684c0d8940c2901db8a8a2">akka.ssl.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.6%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1568__a2bd4a6d8afca4aa09a890a9b389b6874">Switch of Akka communication SSL. This parameter is valid only when the global switch <strong id="mrs_01_1568__b443524417141">security.ssl</strong> is enabled.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.440000000000001%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1568__a3e7f62a28b2e4ff78c2a3c34a7ce0bb3">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.57%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1568__a255b82324965437eb60a41ece5b8b2d8">Yes</p>
+</td>
+</tr>
+<tr id="mrs_01_1568__row1282217595326"><td class="cellrowborder" valign="top" width="19.39%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1568__p1644823843113">akka.client-socket-worker-pool.pool-size-factor</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.6%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1568__p134437565312">Factor that is used to determine the thread pool size. The pool size is calculated based on the following formula: ceil (available processors * factor). The size is bounded by the <strong id="mrs_01_1568__b1693100490101513">pool-size-min</strong> and <strong id="mrs_01_1568__b1836893722101513">pool-size-max</strong> values.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.440000000000001%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1568__p1592018611324">1.0</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.57%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1568__p15845157328">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1568__row14823185913328"><td class="cellrowborder" valign="top" width="19.39%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1568__p6448193812317">akka.client-socket-worker-pool.pool-size-max</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.6%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1568__p1644325610311">Maximum number of threads calculated based on the factor.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.440000000000001%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1568__p49209613215">2</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.57%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1568__p489191513220">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1568__row1282365933212"><td class="cellrowborder" valign="top" width="19.39%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1568__p744873820318">akka.client-socket-worker-pool.pool-size-min</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.6%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1568__p344355610318">Minimum number of threads calculated based on the factor.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.440000000000001%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1568__p1192146113213">1</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.57%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1568__p0932015193218">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1568__row118231359133212"><td class="cellrowborder" valign="top" width="19.39%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1568__p0448338203110">akka.client.timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.6%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1568__p154433563314">Timeout duration of the client. The value must contain a time unit (ms/s/min/h/d).</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.440000000000001%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1568__p179210633212">60s</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.57%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1568__p20971115103215">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1568__row5824205914326"><td class="cellrowborder" valign="top" width="19.39%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1568__p344823823117">akka.server-socket-worker-pool.pool-size-factor</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.6%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1568__p14438565319">Factor that is used to determine the thread pool size. The pool size is calculated based on the following formula: ceil (available processors * factor). The size is bounded by the <strong id="mrs_01_1568__b124911033161811">pool-size-min</strong> and <strong id="mrs_01_1568__b549143315189">pool-size-max</strong> values.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.440000000000001%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1568__p1692117613215">1.0</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.57%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1568__p111014158326">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1568__row191667943312"><td class="cellrowborder" valign="top" width="19.39%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1568__p3448153883110">akka.server-socket-worker-pool.pool-size-max</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.6%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1568__p444335610312">Maximum number of threads calculated based on the factor.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.440000000000001%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1568__p1492118673215">2</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.57%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1568__p161051615183219">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1568__row161665943318"><td class="cellrowborder" valign="top" width="19.39%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1568__p4449133813119">akka.server-socket-worker-pool.pool-size-min</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.6%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1568__p144438566319">Minimum number of threads calculated based on the factor.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.440000000000001%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1568__p892210633216">1</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.57%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1568__p15110131517320">No</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0592.html">Flink Configuration Management</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1569"></a><a name="mrs_01_1569"></a>
+
+<h1 class="topictitle1">SSL</h1>
+<div id="body1596163871725"><div class="section" id="mrs_01_1569__s89aa4a6fa2bb4ddaa3c480a296b1c8ad"><h4 class="sectiontitle">Scenarios</h4><p id="mrs_01_1569__a669f5e4e39ae43cba0610f724f32f288">When the secure Flink cluster is required, SSL-related configuration items must be set.</p>
+</div>
+<div class="section" id="mrs_01_1569__sb84427a3feb64f8593b30b0f78cae3ff"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_1569__a556e7f3f25064e64b02bacef39225c83">Configuration items include the SSL switch, certificate, password, and encryption algorithm.</p>
+<p id="mrs_01_1569__p035112247416">For versions earlier than MRS 3.x, see <a href="#mrs_01_1569__table956544414184">Table 1</a>.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1569__table956544414184"></a><a name="table956544414184"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1569__table956544414184" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters</caption><thead align="left"><tr id="mrs_01_1569__row65654448188"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.2.4.2.5.1.1"><p id="mrs_01_1569__p125657441185">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="10.489999999999998%" id="mcps1.3.2.4.2.5.1.2"><p id="mrs_01_1569__p2056564431818">Mandatory</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="26.529999999999998%" id="mcps1.3.2.4.2.5.1.3"><p id="mrs_01_1569__p13566644111819">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="37.980000000000004%" id="mcps1.3.2.4.2.5.1.4"><p id="mrs_01_1569__p20566644111819">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1569__row175661544171818"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1569__p81073617194">security.ssl.internal.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.489999999999998%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1569__p14385122514194">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.529999999999998%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1569__p3514121911910">The value is automatically configured according to the cluster installation mode.</p>
+<ul id="mrs_01_1569__ul1251481921919"><li id="mrs_01_1569__li251421911910">Security mode: The default value is <strong id="mrs_01_1569__b2095359332101254">true</strong>.</li><li id="mrs_01_1569__li1651419196192">Normal mode: The default value is <strong id="mrs_01_1569__b215803507101254">false</strong>.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="37.980000000000004%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1569__p49151910101915">Main switch of internal communication SSL.</p>
+</td>
+</tr>
+<tr id="mrs_01_1569__row145662044171818"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1569__p310712613195">security.ssl.internal.keystore</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.489999999999998%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1569__p10385025161918">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.529999999999998%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1569__p115141819191915">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.980000000000004%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1569__p17915201041917">Java keystore file.</p>
+</td>
+</tr>
+<tr id="mrs_01_1569__row2566124421810"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1569__p1410716171910">security.ssl.internal.keystore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.489999999999998%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1569__p2038522514193">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.529999999999998%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1569__p85141219201914">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.980000000000004%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1569__p109154103190">Password used to decrypt the keystore file.</p>
+</td>
+</tr>
+<tr id="mrs_01_1569__row2566044141812"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1569__p8666743171916">security.ssl.internal.key-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.489999999999998%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1569__p1243982122017">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.529999999999998%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1569__p122986550192">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.980000000000004%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1569__p8390124917196">Password used to decrypt the server key in the keystore file.</p>
+</td>
+</tr>
+<tr id="mrs_01_1569__row556784451810"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1569__p16666114317195">security.ssl.internal.truststore</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.489999999999998%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1569__p8439828207">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.529999999999998%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1569__p1629816553190">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.980000000000004%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1569__p1239054951910"><strong id="mrs_01_1569__b1352410291">truststore</strong> file containing the public CA certificates.</p>
+</td>
+</tr>
+<tr id="mrs_01_1569__row656754451819"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1569__p4666543191910">security.ssl.internal.truststore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.489999999999998%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1569__p94393212012">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.529999999999998%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1569__p1329811556193">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.980000000000004%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1569__p193904495195">Password used to decrypt the truststore file.</p>
+</td>
+</tr>
+<tr id="mrs_01_1569__row3567114491814"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1569__p186661643151916">security.ssl.protocol</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.489999999999998%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1569__p7440423206">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.529999999999998%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1569__p62991555201916">TLSv1.2</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.980000000000004%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1569__p1039010497199">SSL transmission protocol version</p>
+</td>
+</tr>
+<tr id="mrs_01_1569__row656817442185"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1569__p19666443201915">security.ssl.algorithms</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.489999999999998%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1569__p14440923204">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.529999999999998%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1569__p1829955515198">The default value is <strong id="mrs_01_1569__b116928325101254">TLS_RSA_WITH_AES_128_CBC_SHA256,TLS_DHE_RSA_WITH_AES_128_CBC_SHA256,TLS_DHE_DSS_WITH_AES_128_CBC_SHA256</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.980000000000004%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1569__p1139018493198">Supported SSL standard algorithm. For details, see the Java official website.</p>
+</td>
+</tr>
+<tr id="mrs_01_1569__row136382191219"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1569__p6600113810141">security.ssl.rest.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.489999999999998%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1569__p1260013818147">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.529999999999998%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1569__p56001538111419">The value is automatically configured according to the cluster installation mode.</p>
+<ul id="mrs_01_1569__ul760019381146"><li id="mrs_01_1569__li12600438131413">Security mode: The default value is <strong id="mrs_01_1569__b1174260487101254">true</strong>.</li><li id="mrs_01_1569__li17600103841420">Normal mode: The default value is <strong id="mrs_01_1569__b1953986799101254">false</strong>.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="37.980000000000004%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1569__p19600123817149">Main switch of external communication SSL.</p>
+</td>
+</tr>
+<tr id="mrs_01_1569__row1243418413138"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1569__p2601638181411">security.ssl.rest.keystore</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.489999999999998%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1569__p1560117384142">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.529999999999998%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1569__p8601193811419">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.980000000000004%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1569__p1660117384144">Java keystore file.</p>
+</td>
+</tr>
+<tr id="mrs_01_1569__row44761023191416"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1569__p1660115387148">security.ssl.rest.keystore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.489999999999998%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1569__p6601203811145">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.529999999999998%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1569__p18601103811142">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.980000000000004%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1569__p6601133812144">Password used to decrypt the keystore file.</p>
+</td>
+</tr>
+<tr id="mrs_01_1569__row9427926201417"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1569__p76012386145">security.ssl.rest.key-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.489999999999998%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1569__p3601183801413">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.529999999999998%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1569__p12601103819146">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.980000000000004%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1569__p106013387143">Password used to decrypt the server key in the keystore file.</p>
+</td>
+</tr>
+<tr id="mrs_01_1569__row4324153081417"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1569__p1760193861412">security.ssl.rest.truststore</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.489999999999998%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1569__p8602438191412">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.529999999999998%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1569__p7602338161418">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.980000000000004%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1569__p19602938161410"><strong id="mrs_01_1569__b1014603523212">truststore</strong> file containing the public CA certificates.</p>
+</td>
+</tr>
+<tr id="mrs_01_1569__row2245183321413"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1569__p19602438111420">security.ssl.rest.truststore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.489999999999998%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1569__p96021738151412">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.529999999999998%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1569__p1760233813148">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.980000000000004%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1569__p560283812149">Password used to decrypt the truststore file.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1569__p342475712617">For configuration items for MRS 3.x or later, see <a href="#mrs_01_1569__t0257778dfe3544959abfc85715cc5672">Table 2</a>.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1569__t0257778dfe3544959abfc85715cc5672"></a><a name="t0257778dfe3544959abfc85715cc5672"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1569__t0257778dfe3544959abfc85715cc5672" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Parameters</caption><thead align="left"><tr id="mrs_01_1569__r064948680f6041b0ad611d1b6e7e3cde"><th align="left" class="cellrowborder" valign="top" width="23.61%" id="mcps1.3.2.6.2.5.1.1"><p id="mrs_01_1569__a41dd1662e80c42d1a9830a390f6c54bd">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="26.39%" id="mcps1.3.2.6.2.5.1.2"><p id="mrs_01_1569__ae61bb71bf3034b10acfc120c98447ccf">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.06%" id="mcps1.3.2.6.2.5.1.3"><p id="mrs_01_1569__af3536ef3d9f24145b9a71fca4307682e">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="16.939999999999998%" id="mcps1.3.2.6.2.5.1.4"><p id="mrs_01_1569__a2b8622d6e2fe42dc9cd3a819853a75db">Mandatory</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1569__r9526eb094f87480298596ab2c8653145"><td class="cellrowborder" valign="top" width="23.61%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1569__ad8fa71c05a9a4a65a1057ec2b4e6a9c8">security.ssl.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.39%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1569__a33046b1bf82346e7b6df24f8c2320302">Main switch of internal communication SSL.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.06%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1569__en-us_topic_0085562851_p850162371917"><span id="mrs_01_1569__p42a6f82907814ea0b4ab74e5a013cfaf">The value is automatically configured according to the cluster installation mode.</span></p>
+<ul id="mrs_01_1569__en-us_topic_0085562851_ul73115215219"><li id="mrs_01_1569__en-us_topic_0085562851_li43152105210">Security mode: The default value is <strong id="mrs_01_1569__b1593725191101254">true</strong>.</li><li id="mrs_01_1569__en-us_topic_0085562851_li4335215524">Non-security mode: The default value is <strong id="mrs_01_1569__b1085457561101254">false</strong>.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="16.939999999999998%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1569__a1bff3e601cfa419da694f29650f85202">Yes</p>
+</td>
+</tr>
+<tr id="mrs_01_1569__rf944417e9c6c4ff1b45cc2c38a84db08"><td class="cellrowborder" valign="top" width="23.61%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1569__af0bed05a970f4b02aef9e0f497853108">security.ssl.keystore</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.39%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1569__ae4d96b1788304584bf813ca70520df01">Java keystore file.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.06%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1569__a975bea0ce7b34ef4bd501a70c7bf910d">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.939999999999998%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1569__abefc2e32845a44969b4e169b06866428">Yes</p>
+</td>
+</tr>
+<tr id="mrs_01_1569__ra532155d46444ced86e62e4975909664"><td class="cellrowborder" valign="top" width="23.61%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1569__a6fdfc88ee2134a2abced3badeaa03781">security.ssl.keystore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.39%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1569__a94461ecb134f4b7cb48e328059001d74">Password used to decrypt the keystore file.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.06%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1569__aeadf9d7b7e7f4629904bc3125557ffc7">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.939999999999998%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1569__a807dfe5281994fb9ad61d7bb6cb30dd1">Yes</p>
+</td>
+</tr>
+<tr id="mrs_01_1569__rfe494f98f45345eebc885fc63d5a43a7"><td class="cellrowborder" valign="top" width="23.61%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1569__a0b06dce9608b4245802d284503a76cd2">security.ssl.key-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.39%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1569__a4c02bda84d9b44c1a9f12b0c39f6d446">Password used to decrypt the server key in the keystore file.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.06%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1569__a301aa50e60234e1583e52e789a98f810">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.939999999999998%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1569__a571a729a26a0492a9e9d0afde6b11a22">Yes</p>
+</td>
+</tr>
+<tr id="mrs_01_1569__r0ef2d94fdbc843dc8cafefb32d79a26e"><td class="cellrowborder" valign="top" width="23.61%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1569__a5c3e70ccda0846d1be10c4d331541f6d">security.ssl.truststore</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.39%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1569__aa081fd571dd1409396391d0f0d0463db"><strong id="mrs_01_1569__b1309534113611">truststore</strong> file containing the public CA certificates.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.06%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1569__a5109ee50685741408a3734da98e2ce34">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.939999999999998%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1569__aa3720ada16ae461296ddb46e63662a31">Yes</p>
+</td>
+</tr>
+<tr id="mrs_01_1569__ra09b0fc7398b4a37a485cc1d9f3e9c60"><td class="cellrowborder" valign="top" width="23.61%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1569__a61770cd9dc634886a96870385adfdc68">security.ssl.truststore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.39%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1569__af34f4eeb37964b3c8a35e9baba97e9bb">Password used to decrypt the truststore file.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.06%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1569__a1c1bebde8a414918989bc5c598985d33">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.939999999999998%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1569__ab6331ae403934b0190852dac112ebbb9">Yes</p>
+</td>
+</tr>
+<tr id="mrs_01_1569__r6d29ff1c6035435f95d22dc075396594"><td class="cellrowborder" valign="top" width="23.61%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1569__aac8517b2175540ecab77773b61ce0bfc">security.ssl.protocol</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.39%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1569__a3bbfa5f937c04c2a8b32f032ea2f6eec">SSL transmission protocol version.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.06%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1569__a59285cad0f244d54931825eb73641d49">TLSv1.2</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.939999999999998%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1569__aafea2f123e3744e0943f8ffbf0acae8a">Yes</p>
+</td>
+</tr>
+<tr id="mrs_01_1569__r0fea598b0a7a4de9b642cc69969c57e9"><td class="cellrowborder" valign="top" width="23.61%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1569__a413b9a7b38e04a3cbca3275203bc0237">security.ssl.algorithms</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.39%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1569__addb9e57302f7456694744175a39e5a63">Supported SSL standard algorithm. For details, see the Java official website.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.06%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1569__p55963168403">The default value:</p>
+<p id="mrs_01_1569__p8482419184020">"TLS_DHE_RSA_WITH_AES_128_GCM_SHA256,TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256,TLS_DHE_RSA_WITH_AES_256_GCM_SHA384,TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384"</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.939999999999998%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1569__a8d114a6572ac454fa89bb38b7850c21a">Yes</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0592.html">Flink Configuration Management</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1570.html b/docs/mrs/component-operation-guide/mrs_01_1570.html
new file mode 100644
index 000000000..cbe9cd064
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+++ b/docs/mrs/component-operation-guide/mrs_01_1570.html
@@ -0,0 +1,82 @@
+<a name="mrs_01_1570"></a><a name="mrs_01_1570"></a>
+
+<h1 class="topictitle1">Network communication (via Netty)</h1>
+<div id="body1596163871729"><div class="section" id="mrs_01_1570__s9913e294b2db488f9794cd4756718a18"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1570__a4ef97b90086b4f488585ec87bb180233">When Flink runs a job, data transmission and reverse pressure detection between tasks depend on Netty. In certain environments, <strong id="mrs_01_1570__b16326501693">Netty</strong> parameters should be configured.</p>
+</div>
+<div class="section" id="mrs_01_1570__s5590e08b2b0d4d4ab4ffefd05b4caf86"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_1570__a1d97c9f449ad4934aeac5c9f542cc093">For advanced optimization, you can modify the following Netty configuration items. The default configuration can meet the requirements of tasks of large-scale clusters with high concurrent throughput.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1570__t9898777c01174dbf86dd53f3258870ef" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1570__r09dcad5eef99400e8d23366a0c1b000d"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.2.3.2.5.1.1"><p id="mrs_01_1570__a86273343f29c404fad555aa34bb21b56">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="42.29%" id="mcps1.3.2.3.2.5.1.2"><p id="mrs_01_1570__a7939868039d24d97a0596264d50347cf">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.659999999999998%" id="mcps1.3.2.3.2.5.1.3"><p id="mrs_01_1570__aeeafd36a6b83436cb7aba87adbc4e66a">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="17.05%" id="mcps1.3.2.3.2.5.1.4"><p id="mrs_01_1570__a3a92517b28d5471ba17280f85a33692d">Mandatory</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1570__r0ed7c84c006447fbbe1756ca3126db00"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1570__a570ca836573a4a8f8c543ea0da180f70">taskmanager.network.netty.num-arenas</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.29%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1570__a9279514da70b4681ad340979d88c7fc2">Number of Netty memory blocks.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.659999999999998%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1570__ac4cb4f4c680244d2a54f7597e52c131a">1</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.05%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1570__abb419d3d16ed4fce853c944a5d200819">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1570__r67d03beecc9346fba21862621f2014f9"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1570__a2ab2ad50080e442d84c356fd29ad5666">taskmanager.network.netty.server.numThreads</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.29%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1570__a5543c660abc94fa0b5c1bc893ff8abc8">Number of Netty server threads</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.659999999999998%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1570__aa63b73a65bce41b4a25f0bf0af978084">1</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.05%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1570__a791c86940196430781aa6a2b6eae52b1">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1570__rcf5944a12d274090b60f46dad044252d"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1570__a8c20a48e06d84197b31382ae66d984d2">taskmanager.network.netty.client.numThreads</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.29%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1570__a3676aabda7d34fb3bc07780ed10af695">Number of Netty client threads</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.659999999999998%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1570__p613124171416">1</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.05%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1570__a64b0324a12184c2d805d0d760e99fa05">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1570__r7504a27837e2427e8c85658c6a937daa"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1570__a5716beac0c05411caa80706b00a471b4">taskmanager.network.netty.client.connectTimeoutSec</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.29%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1570__a540eef0092d14984a5e3f8d271e0b0c3">Netty client connection timeout duration. Unit: second</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.659999999999998%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1570__a2087c988b0fd47788ff9a74fbdea620e">120</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.05%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1570__aaaf3404cae3a4298814e0979c00fcfb5">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1570__r9d2d50b95bf64affbc12bab30db6aa11"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1570__a54fa2e3670964ffda7f995ba5ede286e">taskmanager.network.netty.sendReceiveBufferSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.29%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1570__a100566b3e3614cb1b9bf7eb80521ab11">Size of Netty sending and receiving buffers. This defaults to the system buffer size (<strong id="mrs_01_1570__b16667142891215">cat /proc/sys/net/ipv4/tcp_[rw]mem</strong>) and is 4 MB in modern Linux. Unit: byte</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.659999999999998%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1570__a290e9b2d39da4c8391f0d6746756c7e6">4096</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.05%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1570__aaf3bb39e9629483eab20e4b64c57f84c">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1570__r7608c815ae7f4fb99a0b0e43cc401627"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1570__a4789d2c447904a43b69dca779b8ee69f">taskmanager.network.netty.transport</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.29%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1570__a5501138e73ab483da82a7555a055d9dc">Netty transport type, either <strong id="mrs_01_1570__b3987149151218">nio</strong> or <strong id="mrs_01_1570__b15991649181214">epoll</strong></p>
+</td>
+<td class="cellrowborder" valign="top" width="15.659999999999998%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1570__adac1c821cf744dd59009aeeeeaec7c25">nio</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.05%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1570__a2b2d9457a13945a6b6aef3acb01d602d">No</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0592.html">Flink Configuration Management</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1571.html b/docs/mrs/component-operation-guide/mrs_01_1571.html
new file mode 100644
index 000000000..9ccdc4f91
--- /dev/null
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@@ -0,0 +1,344 @@
+<a name="mrs_01_1571"></a><a name="mrs_01_1571"></a>
+
+<h1 class="topictitle1">JobManager Web Frontend</h1>
+<div id="body1596163871738"><div class="section" id="mrs_01_1571__sd5d76c95043740799ba803abddd4a858"><h4 class="sectiontitle">Scenarios</h4><p id="mrs_01_1571__a7cef3fc61e674f38aa38a7b04d207319">When JobManager is started, the web server in the same process is also started.</p>
+<ul id="mrs_01_1571__u6602176cbce74405beee1dcba7f05b92"><li id="mrs_01_1571__l0983622ae8f74d6595edb86e2bf8f175">You can access the web server to obtain information about the current Flink cluster, including information about JobManager, TaskManager, and running jobs in the cluster.</li><li id="mrs_01_1571__lfdd93d75d74f4735a5e01dbe98bcd475">You can configure parameters of the web server.</li></ul>
+</div>
+<div class="section" id="mrs_01_1571__se559dbb38bc748a38aac668eea3eda04"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_1571__ab807b49d5e664cc9bba24d91efd7dfae">Configuration items include the port, temporary directory, display items, error redirection, and security-related items.</p>
+<p id="mrs_01_1571__p13876312111115">For versions earlier than MRS 3.x, see <a href="#mrs_01_1571__table812755682411">Table 1</a>.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1571__table812755682411"></a><a name="table812755682411"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1571__table812755682411" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters</caption><thead align="left"><tr id="mrs_01_1571__row161286561240"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.2.4.2.5.1.1"><p id="mrs_01_1571__p7128556192419">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15%" id="mcps1.3.2.4.2.5.1.2"><p id="mrs_01_1571__p1128856122419">Mandatory</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15%" id="mcps1.3.2.4.2.5.1.3"><p id="mrs_01_1571__p19128125602412">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="45%" id="mcps1.3.2.4.2.5.1.4"><p id="mrs_01_1571__p4128185610247">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1571__row1712865672420"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1571__p3627925202618">jobmanager.web.port</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1571__p1539124613267">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1571__p1886718402267">32261-32325</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1571__p175673412618">Web port. Value range: 32261-32325.</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__row055212279"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1571__p11873743142718">jobmanager.web.allow-access-address</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1571__p7997172192820">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="15%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1571__p166814569275">*</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1571__p165032515277">Web access whitelist. IP addresses are separated by commas (,). Only IP addresses in the whitelist can access the web.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1571__p219483020142">For details about configuration items of MRS 3.<em id="mrs_01_1571__i133717594461">x</em> or later, see <a href="#mrs_01_1571__ta1b7b15d215b4d71973bd1d1fe8816f3">Table 2</a>.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1571__ta1b7b15d215b4d71973bd1d1fe8816f3"></a><a name="ta1b7b15d215b4d71973bd1d1fe8816f3"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1571__ta1b7b15d215b4d71973bd1d1fe8816f3" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Parameters</caption><thead align="left"><tr id="mrs_01_1571__re49e85090d684a72994b97eb4f822bae"><th align="left" class="cellrowborder" valign="top" width="22.689999999999998%" id="mcps1.3.2.6.2.5.1.1"><p id="mrs_01_1571__a683f0faac4714475a6f7cd8780ae10e3">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="48.14%" id="mcps1.3.2.6.2.5.1.2"><p id="mrs_01_1571__a368c767a04df44cda1b4a76e085a2bad">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.079999999999998%" id="mcps1.3.2.6.2.5.1.3"><p id="mrs_01_1571__afd6e36e55fc64c27b2d4a54cdbab8a2c">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="14.09%" id="mcps1.3.2.6.2.5.1.4"><p id="mrs_01_1571__a568afadf8a3e45e79f95e5839bce35d0">Mandatory</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1571__r03a7ef5facc2495fb0e73d6ed03221bf"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__ab1871c21816949eda4c0c6db2b641bb3">flink.security.enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__a3d0378c755fe47e89267aaf59354a870">When installing a Flink cluster, you are required to select <span class="uicontrol" id="mrs_01_1571__uicontrol242167169101340"><b>security mode</b></span> or <span class="uicontrol" id="mrs_01_1571__uicontrol1715095028101340"><b>normal mode</b></span>.</p>
+<ul id="mrs_01_1571__u9ab2e130b87a4b8ab499490882ae2efe"><li id="mrs_01_1571__lf91ceb8c3e1d4c2b9c9b665d6ecfe805">If <span class="uicontrol" id="mrs_01_1571__u0dde3f8735ae404eaf81059acf45cce0"><b>security mode</b></span> is selected, the value of <span class="parmname" id="mrs_01_1571__pe1c72810bc3c45df88e064e7367ab64b"><b>flink.security.enable</b></span> is automatically set to <span class="parmvalue" id="mrs_01_1571__p4f6bb213db03402c91b3257497336559"><b>true</b></span>.</li><li id="mrs_01_1571__laf02d36b0dbe49fea385abd55e5b589f">If <span class="uicontrol" id="mrs_01_1571__u2244be20e5a14d4daf5b761fa000fc24"><b>normal mode</b></span> is selected, the value of <span class="parmname" id="mrs_01_1571__pa74f2a1792704747877bbaec769f11bb"><b>flink.security.enable</b></span> is automatically set to <span class="parmvalue" id="mrs_01_1571__pe1e7ccd7140a4720b0492026ab5b1de1"><b>false</b></span>.</li></ul>
+<p id="mrs_01_1571__a0115039bc1424a7fb139ba0c84e7ab2c">If you want to checker whether Flink cluster is in security mode or normal mode, view the value of <span class="parmname" id="mrs_01_1571__pd57ef709c26041b6b8d4876f4ed480cd"><b>flink.security.enable</b></span>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__a224a1995d5e54a6d88183f17c9f4684a">The value is automatically configured based on the cluster installation mode.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__a492fc4d679b745d6a9e9daeb62168676">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__rc224fa9e9de94a499c48fc0b873d0a2f"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__p34715573447">rest.bind-port</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__a8e155f0f701d4bc8a9dc2741b5fbc67b">Web port. Value range: 32261-32325.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__a800bb93afe32488794a8f8ffddab00d2">32261-32325</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__acd8b48ac829c43db9ae698977f65b25b">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__r3e39affb6907407fa74a9e1226ac9326"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__a8ae3744cbbca40e49f455641a9d21d3d">jobmanager.web.history</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__a716024d8c6744dcdb634b3d1f6075937">Number of recent jobs to be displayed.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__afc511b56c53f46878a4ccbc30619d702">5</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__a2b884bc6002649309d9fd42563ba9e0e">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__r8dba7c33eea24bf78104d943ca6f39a1"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__a22b1c54652c54117ac7019b8b76adb0d">jobmanager.web.checkpoints.disable</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__ab9921ce1fdc04f3fb6be655d6888cfb3">Indicates whether to disable checkpoint statistics.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__ac743ffb00f954c3ca281b5da8df394fe">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__ab614e703133c4a068c7e75b2c7749d26">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__r3005fedab88c49fa8f3b500da9585226"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__a390a8dca7d7f4dc28c39c5bce2a561dd">jobmanager.web.checkpoints.history</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__a8326d14a0a5b41f7a7d23037abd15114">Number of checkpoint statistical records.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__a88bc785bc38c4b9f99c3dcdd2f9fe1a2">10</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__ab1ec79dcbf6147f386a8b38ca4aa8990">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__r02f323633e3947f795fa849c6c7a16d6"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__af81852131cd94cbba814522ff7887581">jobmanager.web.backpressure.cleanup-interval</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__a292c0db3b1ed4490b8e5929fbc350c1e">Interval for clearing unaccessed backpressure records. The unit is millisecond.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__a9d85647d765a437f9a567e817130f898">600000</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__a9bb0c57249f84abdbbf133cf3a1eff4a">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__r4f6e3c32c205467f9807aada5e330970"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__a3f087177d9c846a9ad3dbef5c3a102b2">jobmanager.web.backpressure.refresh-interval</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__aeccc36043b674f54ad3b90accab44910">Interval for updating backpressure records. The unit is millisecond.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__aa3afea424825485ebd52bd6a1c906b8c">60000</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__ac39609e1de2c4c718cf825bc25193097">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__r455ffc91eb8342b6b8fd3d198ddd17fe"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__a27b56d24d6da4734a7de78d44b76647d">jobmanager.web.backpressure.num-samples</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__a25d54cc33b7a472ebd5c0bdae0017cc0">Number of stack tracing records for reverse pressure calculation.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__ae1a551e5ad9542c29052d72f6b9f7785">100</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__ad068b19d496d4abbb6ae2a6bd3e0a287">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__r84be3d7db7a046488bdb539da0469883"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__aecca8787b0a14f48bcab6a2ac961ea64">jobmanager.web.backpressure.delay-between-samples</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__af51b801d4a3843dda6387aca416f20b7">Sampling interval for reverse pressure calculation. The unit is millisecond.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__a6e53420ac19b4186b7b78fe747572afb">50</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__a6db7ff0bc7164fa7b64f2131a065cb27">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__r74c17340c88d4847ab763528dd807aa1"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__a46debf8c9f2741aba2a46763e98fd19a">jobmanager.web.ssl.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__a92044b36cefb461c86afe05ef72eb3f0">Whether SSL encryption is enabled for web transmission. This parameter is valid only when the global switch <strong id="mrs_01_1571__b1704108521101340">security.ssl</strong> is enabled.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__a8c3c71f2111046a3aa888f99c87a8fad">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__a26a0ccb146f844f7a1e150c139285f30">Yes</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__r2db10dacc69948ae93b1b5dcce0b041f"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__a6e2e5a4a32864750b3b6708c62d4a37e">jobmanager.web.accesslog.enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__a928562d3d4964e93b31e8cc11d96429d">Switch to enable or disable web operation logs. The log is stored in <strong id="mrs_01_1571__b2047970750101340">webaccess.log</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__a9fad8043083c49dfa021003ea12fa84b">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__a2cb4ae96c0f14237ac2ba6976f88d619">Yes</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__rc90d91f46c964630ac3f9513630efe72"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__a28523ac5c9924dc980e331e054b308c3">jobmanager.web.x-frame-options</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__a691e97e7c0874f14a0dc60b2807a264c">Value of the HTTP security header <strong id="mrs_01_1571__b28144675915">X-Frame-Options</strong>. The value can be <strong id="mrs_01_1571__b2093775311101340">SAMEORIGIN</strong>, <strong id="mrs_01_1571__b245887945101340">DENY</strong>, or <strong id="mrs_01_1571__b539336548101340">ALLOW-FROM uri</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__af8b7cbf2903e4fde99878aa1b2db3d9a">DENY</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__a7fc95d6c98cd44f7b78395f67d4fd857">Yes</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__r23afea3191c7415db6fb23be615e02ff"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__a1b6ca882a1814372b26249a9019ae345">jobmanager.web.cache-directive</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__ac3ada430351f48f0b56160d03a74f7be">Whether the web page can be cached.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__a23e3d6f14b484593ae5eb4bfb125a7a1">no-store</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__a6cd5880ccf4e499ba24e6b82581f3a47">Yes</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__rfdc5cf11f54b4ef58de9407954cb70c2"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__a6029cb787eab47d688bae3f42a643415">jobmanager.web.expires-time</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__a48479edda4d14cc6bef305109aa9ec42">Expiration duration of web page cache. The unit is millisecond.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__a93cbcd592a5e4480b31a5b33c5170005">0</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__ae34fcdcffb3a40dcbc4a4fb1cb402591">Yes</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__r0f5129c6148448e5a327dd152adf7285"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__af1a49af18c424f13bc871ade849b5d2c">jobmanager.web.allow-access-address</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__aedbe1917a91749dea53b00a8540f59ad">Web access whitelist. IP addresses are separated by commas (,). Only IP addresses in the whitelist can access the web.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__a556c115aaf3044389572afa160aced42">*</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__af3293897e0bd46ec830bd2df4becda32">Yes</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__r8c824ced0077405b94f1d95198303f6e"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__a68daf18a0c334063852702b2fdffbcbe">jobmanager.web.access-control-allow-origin</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__a92144d50083f4bf0ab9b5035d44f170a">Web page same-origin policy that prevents cross-domain attacks.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__a1fb023dec2c14fe4861ecc6da5a23290">*</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__aed36b9a32ea24442996479b1420a340c">Yes</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__rbf29aa5e8d714085882af8fd209b76e6"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__a92d7306016724757ab2696bbd2c878b5">jobmanager.web.refresh-interval</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__a8a953e79ede545e08ff3b538ad833229">Web page refresh interval. The unit is millisecond.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__ae0909af4b25f4b9b842c7914680025c8">3000</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__a4c892c7019d04244be4496354f4730b2">Yes</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__r4c35fb6b10c84d1a80604daa51ba9985"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__a71bcca7f30de4dc1a224818f501340af">jobmanager.web.logout-timer</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__ae807aa20b75544c5aeab80d7bb779816">Automatic logout interval when no operation is performed. The unit is millisecond.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__ab07b6a9e229249849fb65131d83bca9f">600000</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__a11e4e87d3f304ea485946fc13ce159ed">Yes</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__r02b1729a253143629eb70db07d9f4a86"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__af1ece8c0adaf4e40adeea50c412583dd">jobmanager.web.403-redirect-url</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__afdc1a157e86244c39a0f4bf014e5225a">Web page access error 403. If 403 error occurs, the page switch to a specified page.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__aadd54fc3300b445296268d9b70322e4b">Automatic configuration</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__ad9a536066ff44615ae987b8d9158bfa6">Yes</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__r1376542dd16e414e9c73013eb5a74c05"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__af4b8d7095e6a4c1c83d312bc8c57e8dd">jobmanager.web.404-redirect-url</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__a573de04273d04e91aac60e1b4bb6733b">Web page access error 404. If 404 error occurs, the page switch to a specified page.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__a1b3ea6dd7805458a863abdd838ebefb3">Automatic configuration</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__a65bec97dfce34f6fb4b2fb5d7a4f4ab2">Yes</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__r49207e83923842c380e23d160ef933e8"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__ae34c66eaac6848cea1348af490b22760">jobmanager.web.415-redirect-url</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__ab00ec21f499c43ab89c449d8a0564491">Web page access error 415. If 415 error occurs, the page switch to a specified page.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__aebf0783cfe9c4163b5ebed1e341cc1d6">Automatic configuration</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__a21385fb854d247078cd8a9a0a917d425">Yes</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__ra4026d15be5041a7a16c4ca47b4ae750"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__a28e439c1175a4dde86e8d29125eee9ce">jobmanager.web.500-redirect-url</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__a2d80c43d5f0e4c0a8357e2ff223becc8">Web page access error 500. If 500 error occurs, the page switch to a specified page.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__a423486e231e242df86221966819de236">Automatic configuration</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__aac8dbe68614b4550824f64ed2cf6968a">Yes</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__row313044816455"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__p93911418194615">rest.await-leader-timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__p5367143312145">Time of the client waiting for the leader address. The unit is millisecond.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__p911204161413">30000</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__p11131144894517">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__row1131114816451"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__p4391111874615">rest.client.max-content-length</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__p1336716338143">Maximum content length that the client handles (unit: bytes).</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__p911134181418">104857600</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__p1748050121513">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__row6132204814519"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__p5391171811461">rest.connection-timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__p1236823311415">Maximum time for the client to establish a TCP connection (unit: ms).</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__p12111841121414">15000</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__p1151590121511">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__row01321348104516"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__p17391201814462">rest.idleness-timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__p113681033101414">Maximum time for a connection to stay idle before failing (unit: ms).</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__p31174112141">300000</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__p155249014159">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__row787185454515"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__p1439141864615">rest.retry.delay</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__p2368633151411">The time that the client waits between retries (unit: ms).</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__p191194110142">3000</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__p35292081512">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__row38755494516"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__p1539141814465">rest.retry.max-attempts</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__p036814335146">The number of retry times if a retrievable operator fails.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__p1711104151415">20</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__p16536706154">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__row188818543457"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__p93911618154614">rest.server.max-content-length</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__p03688335143">Maximum content length that the server handles (unit: bytes).</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__p13110419140">104857600</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__p135422013151">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__row11882543455"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__p93911418174617">rest.server.numThreads</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__p83683339141">Maximum number of threads for the asynchronous processing of requests.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__p11104191411">4</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__p65471014159">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1571__row661364460"><td class="cellrowborder" valign="top" width="22.689999999999998%" headers="mcps1.3.2.6.2.5.1.1 "><p id="mrs_01_1571__p0391141820461">web.timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.14%" headers="mcps1.3.2.6.2.5.1.2 "><p id="mrs_01_1571__p14368933191419">Timeout for web monitor (unit: ms).</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.079999999999998%" headers="mcps1.3.2.6.2.5.1.3 "><p id="mrs_01_1571__p11121241141410">10000</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.09%" headers="mcps1.3.2.6.2.5.1.4 "><p id="mrs_01_1571__p1655230111516">No</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0592.html">Flink Configuration Management</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1572.html b/docs/mrs/component-operation-guide/mrs_01_1572.html
new file mode 100644
index 000000000..3cfce530b
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1572.html
@@ -0,0 +1,47 @@
+<a name="mrs_01_1572"></a><a name="mrs_01_1572"></a>
+
+<h1 class="topictitle1">File Systems</h1>
+<div id="body1596163871741"><div class="section" id="mrs_01_1572__s08a40ce2f86c4a618aa669d45151b05b"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1572__af8f20ed919534b6092f65d676d6ae133">Result files are created when tasks are running. Flink enables you to configure parameters for file creation.</p>
+</div>
+<div class="section" id="mrs_01_1572__s45a89a553e02416dacd0eccb5ab0d727"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_1572__acab7c2254de5476f8bb7bf75f548b025">Configuration items include overwriting policy and directory creation.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1572__t2421691045fb48748bb431f23768c0d2" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1572__rda19ecc3329249cd901f46ab41a4b8e5"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.2.3.2.5.1.1"><p id="mrs_01_1572__a672695f4804044d296c39e3b5818674d">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="47.760000000000005%" id="mcps1.3.2.3.2.5.1.2"><p id="mrs_01_1572__a21efd0523673429e9179bec0a9cb1ada">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="13.34%" id="mcps1.3.2.3.2.5.1.3"><p id="mrs_01_1572__a2f25f0a6920a4abcb2f58839162b97a3">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="13.900000000000002%" id="mcps1.3.2.3.2.5.1.4"><p id="mrs_01_1572__adc48de2dc5024f549eb32974e95a294a">Mandatory</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1572__r79706159ef57403fa676420108b6eaf7"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1572__afa5c8d6e32db47c79871c29b8543c413">fs.overwrite-files</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.760000000000005%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1572__af98bf142cbde4b7e98df66b9d1adf716">Whether to overwrite the existing file by default when the file is written.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.34%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1572__ad8751b2023a64102aeb9f5bd665940b6">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.900000000000002%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1572__a1cf0c784e6b64babadb880f51272a923">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1572__r2bdd4c990f9e44fe9f5619db782ec68f"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1572__a7f7004b651654244ac11f97ab1b7fb9c">fs.output.always-create-directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.760000000000005%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1572__a659ae68c61254beea36f9414c8f06e7a">When the degree of parallelism (DOP) of file writing programs is greater than 1, a directory is created under the output file path and different result files (one for each parallel writing program) are stored in the directory.</p>
+<ul id="mrs_01_1572__u281a3797b9d34cc291f7230f6af173f3"><li id="mrs_01_1572__l5bd876999b37479788680e8581fc078f">If this parameter is set to <strong id="mrs_01_1572__b212252519175">true</strong>, a directory is created for the writing program whose DOP is 1 and a result file is stored in the directory.</li><li id="mrs_01_1572__l593cfc0247d749d1b86f8c5b1122f8c6">If this parameter is set to <strong id="mrs_01_1572__b127455363179">false</strong>, the file of the writing program whose DOP is 1 is created directly in the output path and no directory is created.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="13.34%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1572__a449ca6909dd845f6a297bbd2339561d5">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.900000000000002%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1572__ac8625937f2df4fb591f7b20ad381bed1">No</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0592.html">Flink Configuration Management</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1573.html b/docs/mrs/component-operation-guide/mrs_01_1573.html
new file mode 100644
index 000000000..3b5361dfc
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1573.html
@@ -0,0 +1,102 @@
+<a name="mrs_01_1573"></a><a name="mrs_01_1573"></a>
+
+<h1 class="topictitle1">State Backend</h1>
+<div id="body1596163871747"><div class="section" id="mrs_01_1573__s29366c56bc86409c88bacc21398c6efe"><h4 class="sectiontitle">Scenarios</h4><p id="mrs_01_1573__a6425e870ecda438697be2f788cf7e9b7">Flink enables HA and job exception, as well as job pause and recovery during version upgrade. Flink depends on state backend to store job states and on the restart strategy to restart a job. You can configure state backend and the restart strategy.</p>
+</div>
+<div class="section" id="mrs_01_1573__s6b93853175ba4d9db463b12da5552742"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_1573__a12765726d4214fcbb10dd5317859759e">Configuration items include the state backend type, storage path, and restart strategy.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1573__t17a8ee223eb54ff996550c15d24c3fb8" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters</caption><thead align="left"><tr id="mrs_01_1573__r6a92fa0b7ef943cc8853b37a469f4ae1"><th align="left" class="cellrowborder" valign="top" width="25.000000000000007%" id="mcps1.3.2.3.2.5.1.1"><p id="mrs_01_1573__ab41a16133fd7426995b77ca144bc2df7">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.730000000000004%" id="mcps1.3.2.3.2.5.1.2"><p id="mrs_01_1573__a81f48ca72f034a90a4e14ed3f69f91a3">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25.420000000000005%" id="mcps1.3.2.3.2.5.1.3"><p id="mrs_01_1573__ac12766f2f64043f1ab086642479553ed">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.850000000000003%" id="mcps1.3.2.3.2.5.1.4"><p id="mrs_01_1573__a063ac5b03bbb492c8fc2fb73e712eac4">Mandatory</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1573__r6057475916ab4f67918c4490b53a700a"><td class="cellrowborder" valign="top" width="25.000000000000007%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1573__af898101668db417ca99f8aff03e293b7">state.backend.fs.checkpointdir</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.730000000000004%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1573__aa4ff5b9ff8ec498c8172150f156fc2e2">Path when the backend is set to <strong id="mrs_01_1573__b29745546285">filesystem</strong>. The path must be accessible by JobManager. Only the local mode is supported. In the cluster mode, use an HDFS path.</p>
+</td>
+<td class="cellrowborder" valign="top" width="25.420000000000005%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1573__a995e07aa06504fa2a196ba580218d4fa">hdfs:///flink/checkpoints</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.850000000000003%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1573__a479cf63deaa74cf4b81efc53966ba591">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1573__rc4655adf06244ef8af9b513ea0400a66"><td class="cellrowborder" valign="top" width="25.000000000000007%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1573__ae758b4470e2d499cb9ab94dc5cf13e5b">state.savepoints.dir</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.730000000000004%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1573__aef476b5698e54e3c9c4f0fe5eb12ad8e">Savepoint storage directory used by Flink to restore and update jobs. When a savepoint is triggered, the metadata of the savepoint is saved to this directory.</p>
+</td>
+<td class="cellrowborder" valign="top" width="25.420000000000005%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1573__a7826e6874cbd4deb85cbfe1357c911f5">hdfs:///flink/savepoint</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.850000000000003%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1573__adc27d906b10d44bfb59bb3189ad2abde">Mandatory in security mode</p>
+</td>
+</tr>
+<tr id="mrs_01_1573__rc0c36aa680194f4f96dc82d1e7849f4d"><td class="cellrowborder" valign="top" width="25.000000000000007%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1573__afc3c28ddb822435894ce33c1566cb565">restart-strategy</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.730000000000004%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1573__a2571ae2447ec4dc6bb80385ea40ab749">Default restart policy, which is used for jobs for which no restart policy is specified. The options are as follows:</p>
+<ul id="mrs_01_1573__u7decb649f0404920b19d0fca2a81f729"><li id="mrs_01_1573__l8c2c2619a365422da9f32458dffca330">fixed-delay</li><li id="mrs_01_1573__lbd841dcb4c1c4befb4e24a18e85fde51">failure-rate</li><li id="mrs_01_1573__l2776b6f28318466bba96ff50cd08e858">none</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="25.420000000000005%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1573__abbd2f275e11d4c709789a3486a79cec0">none</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.850000000000003%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1573__a3bee5a816d0943419a5158160642bd4d">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1573__r4f0645ea41b943bfbecc4b68efd1ea86"><td class="cellrowborder" valign="top" width="25.000000000000007%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1573__a5318984f52bd4133b90432c3fd5d1717">restart-strategy.fixed-delay.attempts</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.730000000000004%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1573__a3711f4f9ad534b94a1cf396fa158f4e7">Number of retry times when the fixed-delay restart strategy is used.</p>
+</td>
+<td class="cellrowborder" valign="top" width="25.420000000000005%" headers="mcps1.3.2.3.2.5.1.3 "><ul id="mrs_01_1573__u83e0a60931ee4d9da9c65a6600a9d2ab"><li id="mrs_01_1573__lca0c80492b4a4643bd3caff645bde934">If the checkpoint is enabled, the default value is the value of <strong id="mrs_01_1573__b12955923410312">Integer.MAX_VALUE</strong>.</li><li id="mrs_01_1573__l1190e3ea3e98417285aad18730fcfc2b">If the checkpoint is disabled, the default value is 3.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="15.850000000000003%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1573__a797bc7f00d9e4738be1c372f22c74c04">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1573__rf3c1f767f9c243b1bc7e0a576a311be9"><td class="cellrowborder" valign="top" width="25.000000000000007%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1573__a73d7c0c70b694f60b8db607b184a5112">restart-strategy.fixed-delay.delay</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.730000000000004%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1573__aaaf6d48598724d07864264d5f6b856c5">Retry interval when the fixed-delay strategy is used. The unit is ms/s/m/h/d.</p>
+<p id="mrs_01_1573__a0bd4f134386e4920ba37e5390f0d5d10"></p>
+</td>
+<td class="cellrowborder" valign="top" width="25.420000000000005%" headers="mcps1.3.2.3.2.5.1.3 "><ul id="mrs_01_1573__ud11d469b37d848b39be92b53312643d8"><li id="mrs_01_1573__le819ea29066b410aa1fe7326c7411fe3">If the checkpoint is enabled, the default value is 10s.</li><li id="mrs_01_1573__l41735805ff0943379f6359e1f98326c4">If the checkpoint is disabled, the default value is the value of <strong id="mrs_01_1573__b68312955710312">akka.ask.timeout</strong>.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="15.850000000000003%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1573__a48b063ba362641659b6481f724f3f6a8">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1573__r889031ab69674652ad7fd5ee4dc6aaee"><td class="cellrowborder" valign="top" width="25.000000000000007%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1573__a6e5222c6e55d4974ac8d297a79f593c5">restart-strategy.failure-rate.max-failures-per-interval</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.730000000000004%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1573__ab23f4eb0f69e427298b4a0776c0977a2">Maximum number of restart times in a specified period before a job fails when the fault rate policy is used.</p>
+</td>
+<td class="cellrowborder" valign="top" width="25.420000000000005%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1573__a784fa6dd795b4ee3a344cfa0195d3048">1</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.850000000000003%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1573__a9d803701a18c48a3aae80003c98a03e4">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1573__r8833d05c7cc7414bb16b79b38b6e2344"><td class="cellrowborder" valign="top" width="25.000000000000007%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1573__aa57e2a4fcbbe4eda9c474d814b018962">restart-strategy.failure-rate.failure-rate-interval</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.730000000000004%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1573__a4734602b35434c81919485e3afa1dc18">Retry interval when the failure-rate strategy is used. The unit is ms/s/m/h/d.</p>
+</td>
+<td class="cellrowborder" valign="top" width="25.420000000000005%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1573__aab2f2abeb64d4b538c796ac5fbf0baf2">60 s</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.850000000000003%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1573__abea5e436515e4d0c91d85fd9f5006c09">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1573__r0019a28e7e8642f8b7c6eb63730a2ba5"><td class="cellrowborder" valign="top" width="25.000000000000007%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1573__a5ee0629a677341a8878a591cbc849f89">restart-strategy.failure-rate.delay</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.730000000000004%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1573__a35ff1f0ef95f46438eafa3bff3118971">Retry interval when the failure-rate strategy is used. The unit is ms/s/m/h/d.</p>
+</td>
+<td class="cellrowborder" valign="top" width="25.420000000000005%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1573__a32d90b8a78aa4b8989252ea31b3adcea">The default value is the same as the value of <strong id="mrs_01_1573__b7393316010312">akka.ask.timeout</strong>. For details, see <a href="mrs_01_1568.html">Distributed Coordination (via Akka)</a>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.850000000000003%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1573__a9cebf6f0144f47bb84b7fcf6c7d7181c">No</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0592.html">Flink Configuration Management</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1574.html b/docs/mrs/component-operation-guide/mrs_01_1574.html
new file mode 100644
index 000000000..9b476a922
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@@ -0,0 +1,55 @@
+<a name="mrs_01_1574"></a><a name="mrs_01_1574"></a>
+
+<h1 class="topictitle1">Kerberos-based Security</h1>
+<div id="body1596163871752"><div class="section" id="mrs_01_1574__s11ef75af20ba44d79007564875dbfe68"><h4 class="sectiontitle">Scenarios</h4><p id="mrs_01_1574__ab995a18a6f8a4e298f2ed0a71fe27a86">Flink Kerberos configuration items must be configured in security mode.</p>
+</div>
+<div class="section" id="mrs_01_1574__sce02c734e01e49e7847b71bc4279d078"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_1574__a627833aa44b54df0921bdf1b1b7a5f14">The configuration items include <strong id="mrs_01_1574__b397821803417">keytab</strong> and <strong id="mrs_01_1574__b1219592217346">principal</strong> of Kerberos.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1574__te1e4538537c04f1eb56c9bbedb7cf8c3" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters</caption><thead align="left"><tr id="mrs_01_1574__r10cf40024310477ebf18596ee7f5a4cb"><th align="left" class="cellrowborder" valign="top" width="27.480000000000004%" id="mcps1.3.2.3.2.5.1.1"><p id="mrs_01_1574__aa93a418533c1443ebfdc23fae4eb41bd">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="30.380000000000006%" id="mcps1.3.2.3.2.5.1.2"><p id="mrs_01_1574__a4c5b6412857142428d06f0d493420ac1">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="26.680000000000003%" id="mcps1.3.2.3.2.5.1.3"><p id="mrs_01_1574__af35b094f4dab4042baacffed4761851d">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.46%" id="mcps1.3.2.3.2.5.1.4"><p id="mrs_01_1574__a704f7c177f9c480498fcd6414e67e9c4">Mandatory</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1574__rabdcd490ea7345188069c088680c1daf"><td class="cellrowborder" valign="top" width="27.480000000000004%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1574__a85b8f57889c04bcab6cd21acafaf152a">security.kerberos.login.keytab</p>
+</td>
+<td class="cellrowborder" valign="top" width="30.380000000000006%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1574__a957599187b304c0fa3f0eeadc628632b">Keytab file path. This parameter is a client parameter.</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.680000000000003%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1574__ae60c228438c047a5bd830624baab8101">Configure the parameter based on actual service requirements.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.46%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1574__a1d0ac504bf0f45ecac2da0c69cb86699">Yes</p>
+</td>
+</tr>
+<tr id="mrs_01_1574__r691b0188c09a47e4bda5e5bfcdb2400c"><td class="cellrowborder" valign="top" width="27.480000000000004%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1574__a24c32334b6204ccc8a4759a7d907873e">security.kerberos.login.principal</p>
+</td>
+<td class="cellrowborder" valign="top" width="30.380000000000006%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1574__aea3aef0dd1b24ce18cad67080375153a">A parameter on the client. If <strong id="mrs_01_1574__b3973687971003">security.kerberos.login.keytab</strong> and <strong id="mrs_01_1574__b12591577801003">security.kerberos.login.principal</strong> are both set, keytab certificate is used by default.</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.680000000000003%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1574__aba2ab78e52754af8a1a25a9b922442bf">Configure the parameter based on actual service requirements.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.46%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1574__aa45ce1f884154ac99ffcb143c14fb044">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1574__r988dee09f0984048a66e28e24cc7ea17"><td class="cellrowborder" valign="top" width="27.480000000000004%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1574__a6616d9ebf0ad4e588055b4bae3a4079e">security.kerberos.login.contexts</p>
+</td>
+<td class="cellrowborder" valign="top" width="30.380000000000006%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1574__a4502001a5f4c43b2b1f45861317e4a5b">Contexts of the jass file generated by Flink. This parameter is a server parameter.</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.680000000000003%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1574__adae4f86df499445b83c8415f87d22892">Client, KafkaClient</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.46%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1574__a6c452d75bec145beb9b7e4d540eb5e29">Yes</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0592.html">Flink Configuration Management</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1575.html b/docs/mrs/component-operation-guide/mrs_01_1575.html
new file mode 100644
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+++ b/docs/mrs/component-operation-guide/mrs_01_1575.html
@@ -0,0 +1,142 @@
+<a name="mrs_01_1575"></a><a name="mrs_01_1575"></a>
+
+<h1 class="topictitle1">HA</h1>
+<div id="body1596163871758"><div class="section" id="mrs_01_1575__sa9997b680e4c47d196a217137d3a82f1"><h4 class="sectiontitle">Scenarios</h4><p id="mrs_01_1575__a5b6ceb6bb6a34411a2b08187a1ec7633">The Flink HA mode depends on ZooKeeper. Therefore, ZooKeeper-related configuration items must be set.</p>
+</div>
+<div class="section" id="mrs_01_1575__s07be7718764e491ab6454b506bb0506a"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_1575__a423bbb824aaf4c68af86bfcc617957e3">Configuration items include the ZooKeeper address, path, and security certificate.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1575__ta903d6a9c6d24f72abdf46625096cd8c"></a><a name="ta903d6a9c6d24f72abdf46625096cd8c"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1575__ta903d6a9c6d24f72abdf46625096cd8c" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters</caption><thead align="left"><tr id="mrs_01_1575__r97bf10df33a34c99a6500196e8d03baf"><th align="left" class="cellrowborder" valign="top" width="21.22%" id="mcps1.3.2.3.2.5.1.1"><p id="mrs_01_1575__ad886d214a2bc4e34b0969f6bb0fdadc1">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="43.6%" id="mcps1.3.2.3.2.5.1.2"><p id="mrs_01_1575__a4169e94da8934565ab86f6822cdd55a8">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="22.38%" id="mcps1.3.2.3.2.5.1.3"><p id="mrs_01_1575__abb8dd8fda9234cda88b23b21980a8821">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="12.8%" id="mcps1.3.2.3.2.5.1.4"><p id="mrs_01_1575__ab0fc35cf3dde49c4931c2464f0ed9767">Mandatory</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1575__r7b2d7551c25d4c7696d54e390624f892"><td class="cellrowborder" valign="top" width="21.22%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1575__a075dd6f7ff274e5f9e0a7c7fd64e5bca">high-availability</p>
+</td>
+<td class="cellrowborder" valign="top" width="43.6%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1575__a9ec08f53a6624e09a3a5ddc2601316f5">Whether HA is enabled. Only the following two modes are supported currently:</p>
+<ol id="mrs_01_1575__o3d917f1f0df14eba81dc8ec78fdc3ca9"><li id="mrs_01_1575__l0ea8eef7dba641d6a10369d35be1f132">none: Only a single JobManager is running. The checkpoint is disabled for JobManager.</li><li id="mrs_01_1575__l69abac0c2aa84e3b826a4a4eff99b583">ZooKeeper:<ul id="mrs_01_1575__ufa266da3ae664701bf6d892535866b50"><li id="mrs_01_1575__lb236a4b0e4ff41188795047f35e68dbb">In non-Yarn mode, multiple JobManagers are supported and the leader JobManager is elected.</li><li id="mrs_01_1575__l274e25971e744cbf8dfe0aa473e2fb9b">In Yarn mode, only one JobManager exists.</li></ul>
+</li></ol>
+</td>
+<td class="cellrowborder" valign="top" width="22.38%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1575__a719807502286464f885d1ceabbe95eed">zookeeper</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.8%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1575__a99df5eeb04c047908fa8c971e2746cc4">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1575__rf711b396b7b44d6ebbec36761f0960c7"><td class="cellrowborder" valign="top" width="21.22%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1575__aebe58a4fa4494f08af58427cafc0f9ad">high-availability.zookeeper.quorum</p>
+</td>
+<td class="cellrowborder" valign="top" width="43.6%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1575__a35ecf0be7d8644a38e869484f6e06f6a">ZooKeeper quorum address.</p>
+</td>
+<td class="cellrowborder" valign="top" width="22.38%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1575__adc1b6b80e57d4c27be69bd4fb576aedc">Automatic configuration</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.8%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1575__a92e7751f31f9496c968bac59d4f48934">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1575__r81767e596ab340a8bb8579fe4c72df66"><td class="cellrowborder" valign="top" width="21.22%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1575__ae09640f8ce664134a61861ba83574ef2">high-availability.zookeeper.path.root</p>
+</td>
+<td class="cellrowborder" valign="top" width="43.6%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1575__a71cabacaa71f43a18ced480cba982f13">Root directory that Flink creates on ZooKeeper, storing metadata required in HA mode.</p>
+</td>
+<td class="cellrowborder" valign="top" width="22.38%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1575__a08ccdbb7244948e6bb5bbf22cf9965d5">/flink</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.8%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1575__a9187e77c97da4bc8b04274f4541992df">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1575__r430d779098bc4c1681498f0ef248b97a"><td class="cellrowborder" valign="top" width="21.22%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1575__a4bb56b67c6a84da38f16983057510aa7">high-availability.storageDir</p>
+</td>
+<td class="cellrowborder" valign="top" width="43.6%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1575__a5e9271eacc0044e4b5cce755366849d2">Directory for storing JobManager metadata of state backend. ZooKeeper stores only pointers to actual data.</p>
+</td>
+<td class="cellrowborder" valign="top" width="22.38%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1575__a86fa295f9dc349548802e8ba1a0d1c2d">hdfs:///flink/recovery</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.8%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1575__ae063841aad4146c6aa0ff64ba23032da">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1575__re497ba8540924cf5b0216db7a42fa9f2"><td class="cellrowborder" valign="top" width="21.22%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1575__a2ef2b3916af84caa87103ddf4ba6b74f">high-availability.zookeeper.client.session-timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="43.6%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1575__aa8837f3ce5bf40be99bc4c46c9093cff">Session timeout duration on the ZooKeeper client. The unit is millisecond.</p>
+</td>
+<td class="cellrowborder" valign="top" width="22.38%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1575__ab49c867583a34135b8f43c4f7b30d95b">60000</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.8%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1575__a1219e1f0b15e40989a15e14add50e821">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1575__r636790cf4c554c61ae090ee835e18ce6"><td class="cellrowborder" valign="top" width="21.22%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1575__a5710b91fae3d4dcda963f4bd4ee87f34">high-availability.zookeeper.client.connection-timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="43.6%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1575__a5d221e6b7a2c428fad21118e964e5297">Connection timeout duration on the ZooKeeper client. The unit is millisecond.</p>
+</td>
+<td class="cellrowborder" valign="top" width="22.38%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1575__a7d6bce9a73f74c3f9a8d8d4ae53fa333">15000</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.8%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1575__a9076fe6bc18f4ddd98a913fec01304ec">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1575__rf9a65bf9f0b7406ea1c4560317144a20"><td class="cellrowborder" valign="top" width="21.22%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1575__af5703309569f49e792cfb8b904a916bc">high-availability.zookeeper.client.retry-wait</p>
+</td>
+<td class="cellrowborder" valign="top" width="43.6%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1575__a63e98a795f394a7f800ef8632689ed29">Retry waiting time on the ZooKeeper client. The unit is millisecond.</p>
+</td>
+<td class="cellrowborder" valign="top" width="22.38%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1575__adfae27b6125b4a25bb32a12332f8f36e">5000</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.8%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1575__a8e399d96fd794723824d47fd68af9c99">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1575__r7ed5a3c08813452e99361dafb41b6f7e"><td class="cellrowborder" valign="top" width="21.22%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1575__a424bd651fe964b4892cc03e5b7fbf649">high-availability.zookeeper.client.max-retry-attempts</p>
+</td>
+<td class="cellrowborder" valign="top" width="43.6%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1575__a0a2ee51e66cc403bb50d6908986b3b44">Maximum retry times on the ZooKeeper client.</p>
+</td>
+<td class="cellrowborder" valign="top" width="22.38%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1575__a092d3380044948e0a904e830044eff78">3</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.8%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1575__a73b3e933b8954c78adc50bc1e27e1470">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1575__rc810f3cb742943fc8c3918a50b43a855"><td class="cellrowborder" valign="top" width="21.22%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1575__aec08a8d893334da3bd91ca334a6e25e5">high-availability.job.delay</p>
+</td>
+<td class="cellrowborder" valign="top" width="43.6%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1575__abe418a8427e340d3b686c814d98656f6">Delay of job restart when JobManager recovers.</p>
+</td>
+<td class="cellrowborder" valign="top" width="22.38%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1575__a1fe8ca778279450a839c299212fdf0b7">The default value is the same as the value of <strong id="mrs_01_1575__b182111317531">akka.ask.timeout</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.8%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1575__aedae206af8c6446f9e1924f14e64ffb9">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1575__r6a52a715dcf14d00a91e639d2052e463"><td class="cellrowborder" valign="top" width="21.22%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1575__a9f2e4ebddf10408b984902f0c4dee646">high-availability.zookeeper.client.acl</p>
+</td>
+<td class="cellrowborder" valign="top" width="43.6%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1575__afbdecc6e2df643f295a93766fb218053">ACL (open creator) of the ZooKeeper node. For ACL options, see <a href="https://zookeeper.apache.org/doc/r3.5.1-alpha/zookeeperProgrammers.html#sc_BuiltinACLSchemes" target="_blank" rel="noopener noreferrer">https://zookeeper.apache.org/doc/r3.5.1-alpha/zookeeperProgrammers.html#sc_BuiltinACLSchemes</a>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="22.38%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1575__ab994dea9db5e420bb6f7eb92259764d4">This parameter is configured automatically according to the cluster installation mode.</p>
+<ul id="mrs_01_1575__en-us_topic_0085562725_ul15724245598"><li id="mrs_01_1575__la281cb3e9ad74044bf043c6bf9b153cf">Security mode: The default value is <strong id="mrs_01_1575__b83203017189">creator</strong>.</li><li id="mrs_01_1575__ldd97cc0b24024ad39357351ba26f401d">Non-security mode: The default value is <strong id="mrs_01_1575__b619162871101217">open</strong>.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="12.8%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1575__a7f0bcdb30986406ea24b778a011a20a8">Yes</p>
+</td>
+</tr>
+<tr id="mrs_01_1575__rd11963af790b476297767f574c4372c5"><td class="cellrowborder" valign="top" width="21.22%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1575__a024bb4a6f2784dd8a44aad5ef10ae853">zookeeper.sasl.disable</p>
+</td>
+<td class="cellrowborder" valign="top" width="43.6%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1575__a46ebedf0004d45f8a6cc0a5d826be31a">Simple authentication and security layer (SASL)-based certificate enable switch.</p>
+</td>
+<td class="cellrowborder" valign="top" width="22.38%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1575__a9e412df4e4f247aea08f4765a5fd41b1">This parameter is configured automatically according to the cluster installation mode.</p>
+<ul id="mrs_01_1575__ua22b0900789341a59828cf3418329e53"><li id="mrs_01_1575__l75c5f00db38f426fa37c486ee53f6d15">Security mode: The default value is <strong id="mrs_01_1575__b414581218196">false</strong>.</li><li id="mrs_01_1575__l8711e50152514ca196905c91a88f586d">Non-security mode: The default value is <strong id="mrs_01_1575__b1815596866101217">true</strong>.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="12.8%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1575__ab4117fb77426414b8e06e0ee6b6751d6">Yes</p>
+</td>
+</tr>
+<tr id="mrs_01_1575__rbff56588212e4d57ab6762321842cb57"><td class="cellrowborder" valign="top" width="21.22%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1575__a88d6ec71d7a94547b9ba36b1eba6e700">zookeeper.sasl.service-name</p>
+</td>
+<td class="cellrowborder" valign="top" width="43.6%" headers="mcps1.3.2.3.2.5.1.2 "><ul id="mrs_01_1575__uf54849655d074d7e96c30cbe305c6e68"><li id="mrs_01_1575__lb7d59c2b7036449096af96138ae9025a">If the ZooKeeper server configures a service whose name is different from <span class="parmname" id="mrs_01_1575__pf0fe742449ea4dce99669263c6025901"><b>ZooKeeper</b></span>, this configuration item can be set.</li><li id="mrs_01_1575__l9bf4f61a76f5434cb109a6b696c80827">If service names on the client and server are inconsistent, authentication fails.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="22.38%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1575__ae85eb66b8b0447e099b9f8bed88e2a53">zookeeper</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.8%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1575__a362f2e97c1d94b558fcbef75d523574b">Yes</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_1575__note1714552293913"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1575__p111461522153916">For versions earlier than MRS 3.x, the <strong id="mrs_01_1575__b1359073452012">high-availability.job.delay</strong> parameter is not supported.</p>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0592.html">Flink Configuration Management</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1576.html b/docs/mrs/component-operation-guide/mrs_01_1576.html
new file mode 100644
index 000000000..c98005260
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1576.html
@@ -0,0 +1,37 @@
+<a name="mrs_01_1576"></a><a name="mrs_01_1576"></a>
+
+<h1 class="topictitle1">Environment</h1>
+<div id="body1596163871760"><div class="section" id="mrs_01_1576__s664e730b1d1b4f0ebd4fd224412c9df8"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1576__ab8f5fb364311463998b2584726ee4210">In scenarios raising special requirements on JVM configuration, users can use configuration items to transfer JVM parameters to the client, JobManager, and TaskManager.</p>
+</div>
+<div class="section" id="mrs_01_1576__s5cead54ce0c444b88e686621edd657f0"><h4 class="sectiontitle">Configuration</h4><p id="mrs_01_1576__a924e20d372be49ccb17fbce944e2d5ea">Configuration items include JVM parameters.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1576__te07bbcbb928e4de2b1771e0282a5d0f5" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1576__rd546ea2eab7a402c83312163c17bb653"><th align="left" class="cellrowborder" valign="top" width="14.659999999999998%" id="mcps1.3.2.3.2.5.1.1"><p id="mrs_01_1576__a84fb039b8dbb4b4a8d52ed836fe9ed7a">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="21.789999999999996%" id="mcps1.3.2.3.2.5.1.2"><p id="mrs_01_1576__a52a70e5a80b34d00bb90b093d251759a">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="49.31999999999999%" id="mcps1.3.2.3.2.5.1.3"><p id="mrs_01_1576__a9e1ccec06b9c48fc86490bc9392b3c77">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="14.229999999999999%" id="mcps1.3.2.3.2.5.1.4"><p id="mrs_01_1576__a53d8dacb43c1440398c72eddf8c0eceb">Mandatory</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1576__ra8da710b770f43e39062463393151b96"><td class="cellrowborder" valign="top" width="14.659999999999998%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1576__ab54d30b6c7f046719a7c36bab4f249ae">env.java.opts</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.789999999999996%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1576__a65c0e22353c942ca83ce9ec4ebc088cf">JVM parameter, which is transferred to the startup script, JobManager, TaskManager, and Yarn client. For example, transfer remote debugging parameters.</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.31999999999999%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1576__af9e03730a4a94c328438a4acb78d0659">-Xloggc:&lt;LOG_DIR&gt;/gc.log -XX:+PrintGCDetails -XX:-OmitStackTraceInFastThrow -XX:+PrintGCTimeStamps -XX:+PrintGCDateStamps -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=20 -XX:GCLogFileSize=20M -Djdk.tls.ephemeralDHKeySize=2048 -Djava.library.path=${HADOOP_COMMON_HOME}/lib/native -Djava.net.preferIPv4Stack=true -Djava.net.preferIPv6Addresses=false -Dbeetle.application.home.path=<em id="mrs_01_1576__i7575933101313">$BIGDATA_HOME</em>/common/runtime/security/config</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.229999999999999%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1576__af31100ee08ba4343af8d347796b55895">No</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0592.html">Flink Configuration Management</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1577.html b/docs/mrs/component-operation-guide/mrs_01_1577.html
new file mode 100644
index 000000000..afa7b4370
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1577.html
@@ -0,0 +1,73 @@
+<a name="mrs_01_1577"></a><a name="mrs_01_1577"></a>
+
+<h1 class="topictitle1">Yarn</h1>
+<div id="body1596163871764"><div class="section" id="mrs_01_1577__s8ae9115e924a410193da6e4c78441976"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1577__a1f2dd9eac1344e1c83a07faf7bcf666a">Flink runs on a Yarn cluster and JobManager runs on ApplicationMaster. Certain configuration parameters of JobManager depend on Yarn. By setting Yarn-related configuration items, Flink is enabled to run better on Yarn.</p>
+</div>
+<div class="section" id="mrs_01_1577__s924c656230fd429a804702add48df3b5"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_1577__ad031f22dfbae404ca1dd83935d41c974">The configuration items include the memory, virtual kernel, and port of the Yarn container.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1577__ta3e1509ba0ab4da1828013f8b651f525" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1577__r9e9351b7157b43b7b8d3cd8ec11c8823"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.2.3.2.5.1.1"><p id="mrs_01_1577__ab5bff8aecfc9472d92e9a2962091618b">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="34.410000000000004%" id="mcps1.3.2.3.2.5.1.2"><p id="mrs_01_1577__aba95d3c3a72c49a68bbd07171b647cb4">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="27.41%" id="mcps1.3.2.3.2.5.1.3"><p id="mrs_01_1577__a2bd4d78dfc40447883954beb0a569f18">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="13.18%" id="mcps1.3.2.3.2.5.1.4"><p id="mrs_01_1577__a1bd35649377f442c8aca25f25b703dbd">Mandatory</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1577__r42297f9a19fb4dbf8c1a3ab01ee54096"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1577__a3a7cf297e4a44b3887767574682a6532">yarn.maximum-failed-containers</p>
+</td>
+<td class="cellrowborder" valign="top" width="34.410000000000004%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1577__a04276c74f8e84ae7a04ed8ede59a18d7">Maximum number of containers the system is going to reallocate in case of a container failure of TaskManager The default value is the number of TaskManagers when the Flink cluster is started.</p>
+</td>
+<td class="cellrowborder" valign="top" width="27.41%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1577__a5473f17b50304f83b40f3035f488b9b7">5</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.18%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1577__a5c68f4de2a6e45c7b405d6eeb70c63df">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1577__r4ea0bc374bef4841a7519f0e3b76b5b0"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1577__a4ffc4c6792874bdc8502029e065bff7b">yarn.application-attempts</p>
+</td>
+<td class="cellrowborder" valign="top" width="34.410000000000004%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1577__a57aed6708e6941218818a918d803176f">Number of ApplicationMaster restarts. The value is the maximum value in the validity interval that is set to Akka's timeout in Flink. After the restart, the IP address and port number of ApplicationMaster will change and you will need to connect to the client manually.</p>
+</td>
+<td class="cellrowborder" valign="top" width="27.41%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1577__ab27056cf9a0a4a0c8c81a5a9e9bf5005">2</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.18%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1577__a354c65200aa24ca898851971a117f57a">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1577__rd7d5685daa4f46a989248bf7e62d970d"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1577__acf770bc15062459190371308a0256f71">yarn.heartbeat-delay</p>
+</td>
+<td class="cellrowborder" valign="top" width="34.410000000000004%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1577__a6a07309902b046a7830b78da3c245a08">Time between heartbeats with the ApplicationMaster and Yarn ResourceManager in seconds. Unit: second</p>
+</td>
+<td class="cellrowborder" valign="top" width="27.41%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1577__ab48ca61aa1e349249cc5babb1541b119">5</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.18%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1577__a430c8dda7ab1461d9f89faa41e84f3c4">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1577__r849000f547e84ec0aeb1e596d26d40cf"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1577__a1a1acf011fc94df6a2c28604f87a34a6">yarn.containers.vcores</p>
+</td>
+<td class="cellrowborder" valign="top" width="34.410000000000004%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1577__ae41b30138be44a8a87ef6568ef1e4b07">Number of virtual cores of each Yarn container</p>
+</td>
+<td class="cellrowborder" valign="top" width="27.41%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1577__a620eb3c0a1eb457ab967a6cf1afeca64">The default value is the number of TaskManager slots.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.18%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1577__aaaba1017e99f44b0a1568d242cb76210">No</p>
+</td>
+</tr>
+<tr id="mrs_01_1577__r9e703eb2e3a743008742235f77e67344"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1577__a5f1825db2e2b474e8217654fddd3a332">yarn.application-master.port</p>
+</td>
+<td class="cellrowborder" valign="top" width="34.410000000000004%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1577__a5ccdfc62d2724d398afc5e0fd6ac3098">ApplicationMaster port number setting. A port number range is supported.</p>
+</td>
+<td class="cellrowborder" valign="top" width="27.41%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1577__ac5a5280622474343a3ed42e92994ab70">32586-32650</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.18%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1577__a5b1c9403b0e14b47b9548c3002a77f8d">No</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0592.html">Flink Configuration Management</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1578.html b/docs/mrs/component-operation-guide/mrs_01_1578.html
new file mode 100644
index 000000000..e08b27eb5
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+++ b/docs/mrs/component-operation-guide/mrs_01_1578.html
@@ -0,0 +1,65 @@
+<a name="mrs_01_1578"></a><a name="mrs_01_1578"></a>
+
+<h1 class="topictitle1">Pipeline</h1>
+<div id="body1596163871769"><div class="section" id="mrs_01_1578__sc4e966a4c6c54ecd95d884994851137c"><h4 class="sectiontitle">Scenarios</h4><p id="mrs_01_1578__a6266c63352bb4306a6af0b968c6b1589">The Netty connection is used among multiple jobs to reduce latency. In this case, NettySink is used on the server and NettySource is used on the client for data transmission.</p>
+<p id="mrs_01_1578__p1371095814434">This section applies to MRS 3.<em id="mrs_01_1578__i35701219105111">x</em> or later clusters.</p>
+</div>
+<div class="section" id="mrs_01_1578__s9651fe49bcda4dd7a6626cd58ac1c85b"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_1578__aaca465203b44492ca17a65cc36b4039c">Configuration items include NettySink information storing path, range of NettySink listening port, whether to enable SSL encryption, domain of the network used for NettySink monitoring.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1578__tb56995aaf5dc411694534e3d952dc60b" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters</caption><thead align="left"><tr id="mrs_01_1578__r3bd929b035c14e938248ac140e247a6a"><th align="left" class="cellrowborder" valign="top" width="19.869999999999997%" id="mcps1.3.2.3.2.5.1.1"><p id="mrs_01_1578__a5347adf901224b1eaeeccc530907db13">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="38.45%" id="mcps1.3.2.3.2.5.1.2"><p id="mrs_01_1578__a9105ccd8df2d44fd8d210b98cc03319e">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="21.759999999999998%" id="mcps1.3.2.3.2.5.1.3"><p id="mrs_01_1578__a2ac844dda955457e86dd413c229996e0">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="19.919999999999998%" id="mcps1.3.2.3.2.5.1.4"><p id="mrs_01_1578__ac6df3f452f804b968d59b0c90c79ff03">Mandatory</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1578__r4ce4c76f0ad540adaff9a1e851696ede"><td class="cellrowborder" valign="top" width="19.869999999999997%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1578__ae645533711434921b9436b4af81713f3">nettyconnector.registerserver.topic.storage</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.45%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1578__a3d213b5d1ddc4c09b307746546948c59">Path (on a third-party server) to information about IP address, port numbers, and concurrency of NettySink. ZooKeeper is recommended for storage.</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.759999999999998%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1578__a3d19230e4cc34206a90d71e2a7f0e4d6">/flink/nettyconnector</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.919999999999998%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1578__a0961f14d170942f3be6302da286cad22">No. However, if pipeline is enabled, the feature is mandatory.</p>
+</td>
+</tr>
+<tr id="mrs_01_1578__rdc201b60f0df4dee9c0e78a1e9f0229c"><td class="cellrowborder" valign="top" width="19.869999999999997%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1578__a80d5a4d6917644d39582a210bbac974a">nettyconnector.sinkserver.port.range</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.45%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1578__ad92984e5b1c04d3882cbc325925e22e3">Port range of NettySink.</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.759999999999998%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1578__aa37db869d3944ecc8def6a74eee2d9fa">If <span id="mrs_01_1578__text117381601114">MRS</span> cluster is used, the default value is 28444-28843.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.919999999999998%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1578__af8fc1c4e9b6a493494f20c18be834417">No. However, if pipeline is enabled, the feature is mandatory.</p>
+</td>
+</tr>
+<tr id="mrs_01_1578__rde03453b66c642d293d5a6d8cc9db289"><td class="cellrowborder" valign="top" width="19.869999999999997%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1578__aff0183dfde7f494babef18fa34575413">nettyconnector.ssl.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.45%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1578__a6c25581cada64208824545a3b00a11fd">Whether SSL encryption for the communication between NettySink and NettySource is enabled. For details about the encryption key and protocol, see <a href="mrs_01_1569.html">SSL</a>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.759999999999998%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1578__a6c1af4bc20b944a2ab40dd948fedad1a">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.919999999999998%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1578__ad6c6ae6174a740ed81f741f4453aa6b2">No. However, if pipeline is enabled, the feature is mandatory.</p>
+</td>
+</tr>
+<tr id="mrs_01_1578__r40446f297843483d9b47dbbf64c42494"><td class="cellrowborder" valign="top" width="19.869999999999997%" headers="mcps1.3.2.3.2.5.1.1 "><p id="mrs_01_1578__a3a520ac614a044c8b7a54debcdb70b24">nettyconnector.message.delimiter</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.45%" headers="mcps1.3.2.3.2.5.1.2 "><p id="mrs_01_1578__a3538d4d565cb4d5384464740f4bbb6fb">Delimiter used to configure the message sent by NettySink to the NettySource, which is 2-4 bytes long, and cannot contain <strong id="mrs_01_1578__b1812275972101035">\n</strong>, <strong id="mrs_01_1578__b1282617985101035">#</strong>, or space.</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.759999999999998%" headers="mcps1.3.2.3.2.5.1.3 "><p id="mrs_01_1578__a7ff0a06b51534d65918f8772fa8b292d">The default value is <strong id="mrs_01_1578__b1151651624101035">$_</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.919999999999998%" headers="mcps1.3.2.3.2.5.1.4 "><p id="mrs_01_1578__a1e4112674a734fcd9f006470ef89e988">No. However, if pipeline is enabled, the feature is mandatory.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0592.html">Flink Configuration Management</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1579.html b/docs/mrs/component-operation-guide/mrs_01_1579.html
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+<a name="mrs_01_1579"></a><a name="mrs_01_1579"></a>
+
+<h1 class="topictitle1">Security Features</h1>
+<div id="body1596164390439"><div class="section" id="mrs_01_1579__sb32ae2584cd643958c1dbb893c0e96c1"><h4 class="sectiontitle">Security Features of Flink</h4><ul id="mrs_01_1579__u51931c519146477d98abe1835333d293"><li id="mrs_01_1579__l72356036ccc64fd3a9b62111e9aaefda">All Flink cluster components support authentication.<ul class="subitemlist" id="mrs_01_1579__uc625fa523deb4d578d37fd3188bbf755"><li id="mrs_01_1579__l299ef7e579244e70add368ee1a55eeab">The Kerberos authentication is supported between Flink cluster components and external components, such as Yarn, HDFS, and ZooKeeper.</li><li id="mrs_01_1579__l2d9572f44c4b44a1902124ff17a87e6e">The security cookie authentication between Flink cluster components, for example, Flink client and JobManager, JobManager and TaskManager, and TaskManager and TaskManager, are supported.</li></ul>
+</li><li id="mrs_01_1579__lbb9dd8938493494ca7bf72dd8d63f4f5">SSL encrypted transmission is supported by Flink cluster components.</li><li class="litext" id="mrs_01_1579__l6627b82ceaf243cebf63fd7d99cee546">SSL encrypted transmission between Flink cluster components, for example, Flink client and JobManager, JobManager and TaskManager, and TaskManager and TaskManager, are supported.</li><li id="mrs_01_1579__lc90c0903c5cc4a5d8b0776328f0c01ae">Following security hardening approaches for Flink web are supported:<ul class="subitemlist" id="mrs_01_1579__u6d26c4de949c47a3b86b24332adaf855"><li id="mrs_01_1579__l9ab35b6b279242a4b0ebb5086a2a11ba">Whitelist filtering. Flink web can only be accessed through Yarn proxy.</li><li id="mrs_01_1579__ld7e5f0fdb8f2420281bf5ecd415cf780">Security header enhancement.</li></ul>
+</li><li id="mrs_01_1579__l814ab9f20c7845399e629d0367a8c400">In Flink clusters, ranges of listening ports of components can be configured.</li><li id="mrs_01_1579__l16ab3c89091d479186eded06ad2ca3e6">In HA mode, ACL control is supported.</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0593.html">Security Configuration</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1580.html b/docs/mrs/component-operation-guide/mrs_01_1580.html
new file mode 100644
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+<a name="mrs_01_1580"></a><a name="mrs_01_1580"></a>
+
+<h1 class="topictitle1">Configuring Kafka</h1>
+<div id="body1596164391132"><p id="mrs_01_1580__a3bc83341b26d4081b38a633c33ea0eb6">Sample project data of Flink is stored in Kafka. A user with Kafka permission can send data to Kafka and receive data from it.</p>
+<ol id="mrs_01_1580__ol774114513169"><li id="mrs_01_1580__li20741135201612"><span>Ensure that clusters, including HDFS, Yarn, Flink, and Kafka are installed.</span></li><li id="mrs_01_1580__li3741258161"><span>Create a topic.</span><p><ul id="mrs_01_1580__ue65d10b6661a4e98b18ab5a81ff179f1"><li id="mrs_01_1580__ld59e85e76e7a4059bc0ff5b022bc7ae7">Run Linux command line to create a topic. Before running commands, ensure that the kinit command, for example, <b><span class="cmdname" id="mrs_01_1580__cmdname9861781464">kinit flinkuser</span></b>, is run for authentication.<div class="note" id="mrs_01_1580__n001b765e03e5493a91f359fcfe864866"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1580__p1949341413286">To create a Flink user, you need to have the permission to create Kafka topics. </p>
+</div></div>
+<p id="mrs_01_1580__a09f0c45f1b9f4b848a54366aa318271b">The format of the command is shown as follows, in which <strong id="mrs_01_1580__b1285922615418">{zkQuorum}</strong> indicates ZooKeeper cluster information and the format is <em id="mrs_01_1580__i1759163211548">IP</em>:<em id="mrs_01_1580__i5121336155413">port</em>, and <strong id="mrs_01_1580__b94281541175420">{Topic}</strong> indicates the topic name.</p>
+<p id="mrs_01_1580__a90a4a4e932a44292aa16e51bf13e22cb"><b><span class="cmdname" id="mrs_01_1580__cmdname2011718064716">bin/kafka-topics.sh --create --zookeeper {zkQuorum}/kafka  --replication-factor 1 --partitions 5 --topic {Topic}</span></b></p>
+<div class="p" id="mrs_01_1580__ab89fdb062e6744c28897b63296dd0316">Assume the topic name is <strong id="mrs_01_1580__b65457798710039">topic 1</strong>. The command for creating this topic is displayed as follows:<pre class="screen" id="mrs_01_1580__s1cfc491c6d7d4a3691f1440c98de5b6d">/opt/client/Kafka/kafka/bin/kafka-topics.sh --create --zookeeper 10.96.101.32:2181,10.96.101.251:2181,10.96.101.177:2181,10.91.8.160:2181/kafka --replication-factor 1 --partitions 5 --topic topic1</pre>
+</div>
+</li><li id="mrs_01_1580__lb80be27d9c9347a890b0bdf583c204fe">Configure the permission of the topic on the server.<p id="mrs_01_1580__a51f2aa7f18e5486f9eae2998c510d45f"><a name="mrs_01_1580__lb80be27d9c9347a890b0bdf583c204fe"></a><a name="lb80be27d9c9347a890b0bdf583c204fe"></a>Set the <strong id="mrs_01_1580__b34808704110039">allow.everyone.if.no.acl.found</strong> parameter of Kafka Broker to <strong id="mrs_01_1580__b1285629810039">true</strong>.</p>
+</li></ul>
+</p></li><li id="mrs_01_1580__li17427531616"><span>Perform the security authentication.</span><p><p id="mrs_01_1580__aa6efa6fe350c48a9bf36cd5ff955366e">The Kerberos authentication, SSL encryption authentication, or Kerberos + SSL authentication mode can be used.</p>
+<div class="note" id="mrs_01_1580__note2338103821711"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1580__p1733916386174">For versions earlier than MRS 3.x, only Kerberos authentication is supported.</p>
+</div></div>
+<ul id="mrs_01_1580__uda72767d9a344cb7abc24aeba4e53662"><li id="mrs_01_1580__l709508b095f74de6be3b7d16ca5fcb98"><strong id="mrs_01_1580__a60d2535af40d4b11997a470df31a406e">Kerberos authentication</strong><ul id="mrs_01_1580__ue144e402a2b54478af2fda100c7e3535"><li id="mrs_01_1580__lc79746189b45425388e5d05ec52acbf0">Client configuration<p id="mrs_01_1580__a27295504086945aa9678d4ffa9c1353c"><a name="mrs_01_1580__lc79746189b45425388e5d05ec52acbf0"></a><a name="lc79746189b45425388e5d05ec52acbf0"></a>In the Flink configuration file <strong id="mrs_01_1580__b183121337143517">flink-conf.yaml</strong>, add configurations about Kerberos authentication. For example, add <strong id="mrs_01_1580__b731816376353">KafkaClient</strong> in <strong id="mrs_01_1580__b23184375356">contexts</strong> as follows:</p>
+<pre class="screen" id="mrs_01_1580__s0ac758566e6a48d9adcee1749df59133">security.kerberos.login.keytab: /home/demo/keytab/flinkuser.keytab
+security.kerberos.login.principal: flinkuser
+security.kerberos.login.contexts: Client,KafkaClient
+security.kerberos.login.use-ticket-cache: false</pre>
+<div class="note" id="mrs_01_1580__note42831941134714"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1580__p52431115500">For versions earlier than MRS 3.x, set <strong id="mrs_01_1580__b66681585593">security.kerberos.login.keytab</strong> to <strong id="mrs_01_1580__b1628741411596">/home/demo/flink/release/keytab/flinkuser.keytab</strong>.</p>
+</div></div>
+</li><li id="mrs_01_1580__l546bc4fa30024ad1ac54779fdd0dca91">Running parameter<p id="mrs_01_1580__afc928e22c6784372acacf8ece5549e58"><a name="mrs_01_1580__l546bc4fa30024ad1ac54779fdd0dca91"></a><a name="l546bc4fa30024ad1ac54779fdd0dca91"></a>Running parameters about the <span class="parmname" id="mrs_01_1580__pacd9bd042f564935961d16580e715dcf"><b>SASL_PLAINTEXT</b></span> protocol are as follows:</p>
+<pre class="screen" id="mrs_01_1580__sd9ea4ea6fb1b4ed3916c82adf966b6d4">--topic topic1 --bootstrap.servers 10.96.101.32:21007 --security.protocol SASL_PLAINTEXT  --sasl.kerberos.service.name kafka //10.96.101.32:21007 indicates the <em id="mrs_01_1580__i199738281708">IP</em>:<em id="mrs_01_1580__i1766312321209">port</em> of the Kafka server.</pre>
+</li></ul>
+</li><li id="mrs_01_1580__lf691d7dcd4f14532b618c4c6f83da8c9"><strong id="mrs_01_1580__a0bc27d41f5ae4ec49942c045e9e8edaf">SSL encryption</strong><ul id="mrs_01_1580__uc00cde88549b4385bd63593ef627de47"><li id="mrs_01_1580__l5b3cfe832bf94c049e1365bc47f2a820">Configure the server.<p id="mrs_01_1580__p145127192210"><a name="mrs_01_1580__l5b3cfe832bf94c049e1365bc47f2a820"></a><a name="l5b3cfe832bf94c049e1365bc47f2a820"></a>Log in to FusionInsight Manager, choose <strong id="mrs_01_1580__b06931424185311">Cluster</strong> &gt; <strong id="mrs_01_1580__b167791752205">Services</strong> &gt; <strong id="mrs_01_1580__b2995155420019">Kafka</strong> &gt; <strong id="mrs_01_1580__b164201574016">Configurations</strong>, and set <strong id="mrs_01_1580__b770810712116">Type</strong> to <strong id="mrs_01_1580__b141911210112">All</strong>. Search for <strong id="mrs_01_1580__b185714152113">ssl.mode.enable</strong> and set it to <strong id="mrs_01_1580__b79268201115">true</strong>.</p>
+</li><li id="mrs_01_1580__l75894405f6db4adea0e92f151c849b86">Configure the client.<ol type="a" id="mrs_01_1580__obb1f8b2fa9f7416aa2e0fd40edf7a60f"><li id="mrs_01_1580__l4d1d938106954e69813a6a5a16a21b07">Log in to FusionInsight Manager, choose <strong id="mrs_01_1580__b197507608310039">Cluster &gt; <em id="mrs_01_1580__i96421974810039">Name of the desired cluster</em> &gt; Services &gt; Kafka &gt; More &gt; Download Client</strong> to download Kafka client.</li><li id="mrs_01_1580__l7d4ed49a1ea24de0ba996eb3eae9c736">Use the <span class="parmname" id="mrs_01_1580__parmname182851561810039"><b>ca.crt</b></span> certificate file in the client root directory to generate the <span class="parmname" id="mrs_01_1580__parmname75481113510039"><b>truststore</b></span> file for the client.<div class="p" id="mrs_01_1580__a3e0e732924d34bc9884f3685aad826e6">Run the following command:<pre class="screen" id="mrs_01_1580__sc434d2f340694670926730ccf8c28c8d">keytool -noprompt -import -alias myservercert -file ca.crt -keystore truststore.jks </pre>
+</div>
+<p id="mrs_01_1580__a27187e56b1af4e3ebe0fff39d8b49a4c">The command execution result is similar to the following:</p>
+<p id="mrs_01_1580__a7f681e92e3d84b27be5b62bef5f88e74"><span><img id="mrs_01_1580__i7767064234834d3380fdcb628f68e1c4" src="en-us_image_0000001295930604.png"></span></p>
+</li><li id="mrs_01_1580__lcb660a996df54c7693a4c1b23054021f">Run parameters.<p id="mrs_01_1580__a7f9c9c7985c04354ad9582bebec68d4c"><a name="mrs_01_1580__lcb660a996df54c7693a4c1b23054021f"></a><a name="lcb660a996df54c7693a4c1b23054021f"></a>The value of <strong id="mrs_01_1580__b124521947310039">ssl.truststore.password</strong> must be the same as the password you entered when creating <strong id="mrs_01_1580__b180121281910039">truststore</strong>. Run the following command to run parameters:</p>
+<pre class="screen" id="mrs_01_1580__saf821d32efcc472e9a0ecdb22f3197e1">--topic topic1 --bootstrap.servers 10.96.101.32:9093 --security.protocol SSL --ssl.truststore.location /home/zgd/software/FusionInsight_Kafka_ClientConfig/truststore.jks --ssl.truststore.password <em id="mrs_01_1580__i121015810531">XXX</em></pre>
+</li></ol>
+</li></ul>
+</li><li id="mrs_01_1580__l7b01ca2a7e83487b80f1eef37f476fb2"><strong id="mrs_01_1580__b24111690210039">Kerberos+SSL</strong> <strong id="mrs_01_1580__b173431923410039">encryption</strong><p id="mrs_01_1580__ad011ae6cdbe143d889a43b1d461f52ad">After completing preceding configurations of the client and server of Kerberos and SSL, modify the port number and protocol type in running parameters to enable the Kerberos+SSL encryption mode.</p>
+<pre class="screen" id="mrs_01_1580__sce43a0b6b66d48ae89b9160521ecb9a7">--topic topic1 --bootstrap.servers 10.96.101.32:21009 --security.protocol SASL_SSL  --sasl.kerberos.service.name kafka --ssl.truststore.location /home/zgd/software/FusionInsight_Kafka_ClientConfig/truststore.jks --ssl.truststore.password <em id="mrs_01_1580__i125920599522">XXX</em></pre>
+</li></ul>
+</p></li></ol>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0593.html">Security Configuration</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1581.html b/docs/mrs/component-operation-guide/mrs_01_1581.html
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+<a name="mrs_01_1581"></a><a name="mrs_01_1581"></a>
+
+<h1 class="topictitle1">Configuring Pipeline</h1>
+<div id="body1596164391136"><p id="mrs_01_1581__p164760410512">This section applies to MRS 3.<em id="mrs_01_1581__i17961112512515">x</em> or later clusters.</p>
+<ol id="mrs_01_1581__o36d46f5a150f4e0da64f905abf9a7e25"><li id="mrs_01_1581__l2e86e7636a29482b8ba38b16611c523b">Configure files.<ul id="mrs_01_1581__u03fac1b0cff74c46966865e6f25498ee"><li id="mrs_01_1581__lcd38dfc008694c53b8f7a727453221a5"><strong id="mrs_01_1581__b107250216210440">nettyconnector.registerserver.topic.storage</strong>: (Mandatory) Configures the path (on a third-party server) to information about IP address, port numbers, and concurrency of NettySink. For example:<pre class="screen" id="mrs_01_1581__sc05ad03c73e0430c99f5bb9f751df223"><span id="mrs_01_1581__p8cac8fa83c9943a8be8f064b10f26fe5">nettyconnector.registerserver.topic.storage: /flink/nettyconnector</span></pre>
+</li></ul>
+<ul id="mrs_01_1581__ue84ca6e20de349f3b98fd7cdba72db28"><li id="mrs_01_1581__lbd0430bd95f44b53bf5b731241202b63"><strong id="mrs_01_1581__b1187113118819">nettyconnector.sinkserver.port.range</strong>: (Mandatory) Configures the range of port numbers of NettySink. For example:<pre class="screen" id="mrs_01_1581__sae0fb98472554b998e52e5dc4f4ce88a">nettyconnector.sinkserver.port.range<span id="mrs_01_1581__pb7619883ec634cb5bdcf167803b3b181">: 28444-28843</span></pre>
+</li></ul>
+<ul id="mrs_01_1581__u983d5c86c1e94d6bb9b815499d88cf1f"><li id="mrs_01_1581__l144d1494b41b4b819037c6d4e6e69066"><strong id="mrs_01_1581__b212546743010440">nettyconnector.ssl.enabled</strong>: Configures whether to enable SSL encryption between NettySink and NettySource. The default value is <strong id="mrs_01_1581__b6091475310440">false</strong>. For example:<pre class="screen" id="mrs_01_1581__s429cddfbf8364e0ebdb4a2edbf980e04"><span id="mrs_01_1581__p356077237c85463eb78b9d012466c97a">nettyconnector.ssl.enabled: true</span></pre>
+</li></ul>
+</li><li id="mrs_01_1581__l723bb684a9094453b934afc9a3a8d6b6">Configure security authentication.<ul id="mrs_01_1581__ua56cea2d88294316a3939ab5087a24a3"><li id="mrs_01_1581__l74a27f162dd94061b3fee2bb6817227b">SASL authentication of ZooKeeper depends on the HA configuration in the <span class="filepath" id="mrs_01_1581__fd7da1d994a6e450a9183edf494e8f0b8"><b>flink-conf.yaml</b></span> file.</li><li id="mrs_01_1581__l1a7d23bcac174b3f9dbadaf3a8c83d9f">SSL configurations such as keystore, truststore, keystore password, truststore password, and password inherit from <span class="filepath" id="mrs_01_1581__fa505261c11dc4b00a6f0ec37488aa99c"><b>flink-conf.yaml</b></span>. For details, see <a href="mrs_01_1583.html#mrs_01_1583__section270112348585">Encrypted Transmission</a>.</li></ul>
+</li></ol>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0593.html">Security Configuration</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1583.html b/docs/mrs/component-operation-guide/mrs_01_1583.html
new file mode 100644
index 000000000..16aa68819
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+++ b/docs/mrs/component-operation-guide/mrs_01_1583.html
@@ -0,0 +1,388 @@
+<a name="mrs_01_1583"></a><a name="mrs_01_1583"></a>
+
+<h1 class="topictitle1">Authentication and Encryption</h1>
+<div id="body1596441032921"><div class="section" id="mrs_01_1583__section375534695613"><h4 class="sectiontitle">Security Authentication</h4><p id="mrs_01_1583__p72875293571">Flink uses the following three authentication modes:</p>
+<ul id="mrs_01_1583__ul13287202925713"><li id="mrs_01_1583__li628722985710">Kerberos authentication: It is used between the Flink Yarn client and Yarn ResourceManager, JobManager and ZooKeeper, JobManager and HDFS, TaskManager and HDFS, Kafka and TaskManager, as well as TaskManager and ZooKeeper.</li><li id="mrs_01_1583__li1928715296577">Security cookie authentication: Security cookie authentication is used between Flink Yarn client and JobManager, JobManager and TaskManager, as well as TaskManager and TaskManager.</li><li id="mrs_01_1583__li52871529165714">Internal authentication of Yarn: The Internal authentication mechanism of Yarn is used between Yarn ResourceManager and ApplicationMaster (AM).<div class="note" id="mrs_01_1583__note32871429205711"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1583__ul1928872995720"><li id="mrs_01_1583__li52881729185711">Flink JobManager and Yarn ApplicationMaster are in the same process.</li><li id="mrs_01_1583__li728882911574">If Kerberos authentication is enabled for the user's cluster, Kerberos authentication is required.</li><li id="mrs_01_1583__li190872945612">For versions earlier than MRS 3.<em id="mrs_01_1583__i937342971519">x</em>, Flink does not support security cookie authentication.</li></ul>
+</div></div>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1583__table18288142985710" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Authentication modes</caption><thead align="left"><tr id="mrs_01_1583__row152881629105719"><th align="left" class="cellrowborder" valign="top" width="13.450000000000001%" id="mcps1.3.1.3.3.2.2.4.1.1"><p id="mrs_01_1583__p1828882925719"><strong id="mrs_01_1583__b11899730172512">Authentication Mode</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="13.089999999999998%" id="mcps1.3.1.3.3.2.2.4.1.2"><p id="mrs_01_1583__p528811293571"><strong id="mrs_01_1583__b1028812912571">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="73.46000000000001%" id="mcps1.3.1.3.3.2.2.4.1.3"><p id="mrs_01_1583__p12288162912572"><strong id="mrs_01_1583__b687443915257">Configuration Method</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1583__row17288029125710"><td class="cellrowborder" valign="top" width="13.450000000000001%" headers="mcps1.3.1.3.3.2.2.4.1.1 "><p id="mrs_01_1583__p5288129165710">Kerberos authentication</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.089999999999998%" headers="mcps1.3.1.3.3.2.2.4.1.2 "><p id="mrs_01_1583__p182882298574">Currently, only keytab authentication mode is supported.</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.46000000000001%" headers="mcps1.3.1.3.3.2.2.4.1.3 "><ol id="mrs_01_1583__ol132881029195716"><li id="mrs_01_1583__li1628818293575">Download the user keytab from the KDC server, and place the keytab to a directory on the host of the Flink client.</li><li id="mrs_01_1583__li1628852995713">Configure the following parameters in the <strong id="mrs_01_1583__b1313021030101012">flink-conf.yaml</strong> file:<ol type="a" id="mrs_01_1583__ol12881929105713"><li id="mrs_01_1583__li162881029195713">Keytab path<pre class="screen" id="mrs_01_1583__screen6289192910577">security.kerberos.login.keytab: /home/flinkuser/keytab/abc222.keytab</pre>
+<p id="mrs_01_1583__p228916293571">Note:</p>
+<p id="mrs_01_1583__p142892292577"><strong id="mrs_01_1583__b440825315101012">/home/flinkuser/keytab/abc222.keytab</strong> indicates the user directory.</p>
+</li><li id="mrs_01_1583__li11289029195710">Principal name<pre class="screen" id="mrs_01_1583__screen0289192995719">security.kerberos.login.principal: abc222</pre>
+</li><li id="mrs_01_1583__li1328982910571">In HA mode, if ZooKeeper is configured, the Kerberos authentication configuration items must be configured as follows:<pre class="screen" id="mrs_01_1583__screen192891329175716">zookeeper.sasl.disable: false
+security.kerberos.login.contexts: Client</pre>
+</li><li id="mrs_01_1583__li142892295578">If you want to perform Kerberos authentication between Kafka client and Kafka broker, set the value as follows:<pre class="screen" id="mrs_01_1583__screen7289829145712">security.kerberos.login.contexts: Client,KafkaClient</pre>
+</li></ol>
+</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1583__row122896295578"><td class="cellrowborder" valign="top" width="13.450000000000001%" headers="mcps1.3.1.3.3.2.2.4.1.1 "><p id="mrs_01_1583__p1328942985713">Security cookie authentication</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.089999999999998%" headers="mcps1.3.1.3.3.2.2.4.1.2 "><p id="mrs_01_1583__p9289929125719">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.46000000000001%" headers="mcps1.3.1.3.3.2.2.4.1.3 "><ol id="mrs_01_1583__ol1728952914573"><li id="mrs_01_1583__li634361418215">In the <strong id="mrs_01_1583__b64974426155">bin</strong> directory of the Flink client, run the <strong id="mrs_01_1583__b4497164211153">generate_keystore.sh</strong> script to generate security cookie, <strong id="mrs_01_1583__b134972424153">flink.keystore</strong>, and <strong id="mrs_01_1583__b4497114211517">flink.truststore</strong>.<div class="p" id="mrs_01_1583__p1840513273212">Run the <strong id="mrs_01_1583__b10491164185713">sh generate_keystore.sh</strong> command and enter the user-defined password. The password cannot contain <strong id="mrs_01_1583__b529850406102034">#</strong>.<div class="note" id="mrs_01_1583__note351411105219"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1583__p1985978125917">After the script is executed, the <span class="filepath" id="mrs_01_1583__filepath2065410003102034"><b>flink.keystore</b></span> and <span class="filepath" id="mrs_01_1583__filepath1251953240102034"><b>flink.truststore</b></span> files are generated in the <strong id="mrs_01_1583__b481575547102034">conf</strong> directory on the Flink client. In the <span class="filepath" id="mrs_01_1583__filepath413226405102034"><b>flink-conf.yaml</b></span> file, default values are specified for following parameters:</p>
+<ul id="mrs_01_1583__ul89714582189"><li id="mrs_01_1583__li199711758121813">Set <span class="parmname" id="mrs_01_1583__parmname1632622985102034"><b>security.ssl.keystore</b></span> to the absolute path of the <span class="filepath" id="mrs_01_1583__filepath792036202102034"><b>flink.keystore</b></span> file.</li><li id="mrs_01_1583__li103211421910">Set <span class="parmname" id="mrs_01_1583__parmname1143230259102034"><b>security.ssl.truststore</b></span> to the absolute path of the <span class="filepath" id="mrs_01_1583__filepath1342726889102034"><b>flink.truststore</b></span> file.</li></ul>
+<ul id="mrs_01_1583__ul967157151910"><li id="mrs_01_1583__li16719718197">Set <strong id="mrs_01_1583__b544649111914">security.cookie</strong> to a random password automatically generated by the <strong id="mrs_01_1583__b75101659121920">generate_keystore.sh</strong> script.</li><li id="mrs_01_1583__li83115101193">By default, <strong id="mrs_01_1583__b5806721132116">security.ssl.encrypt.enabled: false</strong> is set in the <strong id="mrs_01_1583__b18832193542114">flink-conf.yaml</strong> file by default. The <strong id="mrs_01_1583__b5710175611213">generate_keystore.sh</strong> script sets <strong id="mrs_01_1583__b7226846225">security.ssl.key-password</strong>, <strong id="mrs_01_1583__b796920818222">security.ssl.keystore-password</strong>, and <strong id="mrs_01_1583__b17213162315224">security.ssl.truststore-password</strong> to the password entered when the <strong id="mrs_01_1583__b14886155713222">generate_keystore.sh</strong> script is called.</li></ul>
+<ul id="mrs_01_1583__ul98721361913"><li id="mrs_01_1583__li987171319191">For MRS 3.<em id="mrs_01_1583__i4620165654616">x</em> or later, if ciphertext is required and <strong id="mrs_01_1583__b53135523238">security.ssl.encrypt.enabled</strong> is set to <strong id="mrs_01_1583__b3275175918596">true</strong> in the <strong id="mrs_01_1583__b8336258182316">flink-conf.yaml</strong> file, the <strong id="mrs_01_1583__b125814512517">generate_keystore.sh</strong> script does not set <strong id="mrs_01_1583__b209152662412">security.ssl.key-password</strong>, <strong id="mrs_01_1583__b521033832415">security.ssl.keystore-password</strong>, and <strong id="mrs_01_1583__b1757016587248">security.ssl.truststore-password</strong>. To obtain the values, use the Manager plaintext encryption API by running <strong id="mrs_01_1583__b141401239121310">curl -k -i -u </strong><em id="mrs_01_1583__i1814523916133">Username</em><strong id="mrs_01_1583__b832284531316">:</strong><em id="mrs_01_1583__i8327945111317">Password</em><strong id="mrs_01_1583__b135893150152"> -X POST -HContent-type:application/json  -d '{"plainText":"</strong><em id="mrs_01_1583__i3595181561514">Password</em><strong id="mrs_01_1583__b95902153150">"}' 'https://</strong><em id="mrs_01_1583__i16685134911415">x.x.x.x</em><strong id="mrs_01_1583__b168010497418">:28443/web/api/v2/tools/encrypt'</strong>.<p id="mrs_01_1583__p9490344151413">In the preceding command, <em id="mrs_01_1583__i976781642215">Username</em><strong id="mrs_01_1583__b476791612210">:</strong><em id="mrs_01_1583__i207672165220">Password</em> indicates the user name and password for logging in to the system. The password of <strong id="mrs_01_1583__b13767141614229">"plainText"</strong> indicates the one used to call the <strong id="mrs_01_1583__b17688167222">generate_keystore.sh</strong> script. <em id="mrs_01_1583__i12768151682214">x.x.x.x</em> indicates the floating IP address of Manager.</p>
+</li></ul>
+</div></div>
+</div>
+</li><li id="mrs_01_1583__li4290152955718">Set <span class="parmvalue" id="mrs_01_1583__parmvalue1126355636101012"><b>security.enable: true</b></span> in the <strong id="mrs_01_1583__b84451912175716">flink-conf.yaml</strong> file and check whether <span class="parmname" id="mrs_01_1583__parmname617903271101012"><b>security cookie</b></span> is configured successfully. Example:<pre class="screen" id="mrs_01_1583__screen3291182915719">security.cookie: ae70acc9-9795-4c48-ad35-8b5adc8071744f605d1d-2726-432e-88ae-dd39bfec40a9</pre>
+</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1583__row1629118297574"><td class="cellrowborder" valign="top" width="13.450000000000001%" headers="mcps1.3.1.3.3.2.2.4.1.1 "><p id="mrs_01_1583__p329112295574">Internal authentication of Yarn</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.089999999999998%" headers="mcps1.3.1.3.3.2.2.4.1.2 "><p id="mrs_01_1583__p17291172910573">This authentication mode does not need to be configured by the user.</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.46000000000001%" headers="mcps1.3.1.3.3.2.2.4.1.3 "><p id="mrs_01_1583__p122911829205711">-</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_1583__note15291729185716"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1583__p1129112915572">One Flink cluster supports only one user. One user can create multiple Flink clusters.</p>
+</div></div>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1583__section270112348585"><a name="mrs_01_1583__section270112348585"></a><a name="section270112348585"></a><h4 class="sectiontitle">Encrypted Transmission</h4><p id="mrs_01_1583__p107035227594">Flink uses following encrypted transmission modes:</p>
+<ul id="mrs_01_1583__ul270352225918"><li id="mrs_01_1583__li6704422145914">Encrypted transmission inside Yarn: It is used between the Flink Yarn client and Yarn ResourceManager, as well as Yarn ResourceManager and JobManager.</li><li id="mrs_01_1583__li1870413228594">SSL transmission: SSL transmission is used between Flink Yarn client and JobManager, JobManager and TaskManager, as well as TaskManager and TaskManager.</li><li id="mrs_01_1583__li15704182213595">Encrypted transmission inside Hadoop: The internal encrypted transmission mode of Hadoop used between JobManager and HDFS, TaskManager and HDFS, JobManager and ZooKeeper, as well as TaskManager and ZooKeeper.</li></ul>
+<div class="note" id="mrs_01_1583__note1070415221591"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1583__p1370442219597">Configuration about SSL encrypted transmission is mandatory while configuration about encryption of Yarn and Hadoop is not required.</p>
+</div></div>
+<p id="mrs_01_1583__p18704162295916">To configure SSL encrypted transmission, configure the following parameters in the <strong id="mrs_01_1583__b1936699522101012">flink-conf.yaml</strong> file on the client:</p>
+<ol id="mrs_01_1583__ol141142044105117"><li id="mrs_01_1583__li41141244135117">Enable SSL and configure the SSL encryption algorithm. For MRS 3.x or later, see <a href="#mrs_01_1583__table4164102001915">Table 2</a>. Modify the parameters as required.
+<div class="tablenoborder"><a name="mrs_01_1583__table4164102001915"></a><a name="table4164102001915"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1583__table4164102001915" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1583__row5164202051919"><th align="left" class="cellrowborder" valign="top" width="28.494949494949495%" id="mcps1.3.2.6.1.2.2.4.1.1"><p id="mrs_01_1583__p16164192051916"><strong id="mrs_01_1583__b613110578436">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="42.37373737373738%" id="mcps1.3.2.6.1.2.2.4.1.2"><p id="mrs_01_1583__p191641020141919"><strong id="mrs_01_1583__b111651720191911">Example Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="29.13131313131313%" id="mcps1.3.2.6.1.2.2.4.1.3"><p id="mrs_01_1583__p816510205192"><strong id="mrs_01_1583__b15165220121916">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1583__row19165020141917"><td class="cellrowborder" valign="top" width="28.494949494949495%" headers="mcps1.3.2.6.1.2.2.4.1.1 "><p id="mrs_01_1583__p7165620191911">security.ssl.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.37373737373738%" headers="mcps1.3.2.6.1.2.2.4.1.2 "><p id="mrs_01_1583__p1165220111913">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="29.13131313131313%" headers="mcps1.3.2.6.1.2.2.4.1.3 "><p id="mrs_01_1583__p1116522031911">Enable SSL.</p>
+</td>
+</tr>
+<tr id="mrs_01_1583__row8165122021919"><td class="cellrowborder" valign="top" width="28.494949494949495%" headers="mcps1.3.2.6.1.2.2.4.1.1 "><p id="mrs_01_1583__p6165172071911">akka.ssl.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.37373737373738%" headers="mcps1.3.2.6.1.2.2.4.1.2 "><p id="mrs_01_1583__p17165920121913">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="29.13131313131313%" headers="mcps1.3.2.6.1.2.2.4.1.3 "><p id="mrs_01_1583__p4165920111910">Enable Akka SSL.</p>
+</td>
+</tr>
+<tr id="mrs_01_1583__row916572019192"><td class="cellrowborder" valign="top" width="28.494949494949495%" headers="mcps1.3.2.6.1.2.2.4.1.1 "><p id="mrs_01_1583__p16165122081911">blob.service.ssl.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.37373737373738%" headers="mcps1.3.2.6.1.2.2.4.1.2 "><p id="mrs_01_1583__p316552011915">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="29.13131313131313%" headers="mcps1.3.2.6.1.2.2.4.1.3 "><p id="mrs_01_1583__p5165620141913">Enable SSL for the Blob channel.</p>
+</td>
+</tr>
+<tr id="mrs_01_1583__row13166420141919"><td class="cellrowborder" valign="top" width="28.494949494949495%" headers="mcps1.3.2.6.1.2.2.4.1.1 "><p id="mrs_01_1583__p1416622016198">taskmanager.data.ssl.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.37373737373738%" headers="mcps1.3.2.6.1.2.2.4.1.2 "><p id="mrs_01_1583__p16166202016191">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="29.13131313131313%" headers="mcps1.3.2.6.1.2.2.4.1.3 "><p id="mrs_01_1583__p1516632014192">Enable SSL transmissions between TaskManagers.</p>
+</td>
+</tr>
+<tr id="mrs_01_1583__row19166120131910"><td class="cellrowborder" valign="top" width="28.494949494949495%" headers="mcps1.3.2.6.1.2.2.4.1.1 "><p id="mrs_01_1583__p31662207193">security.ssl.algorithms</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.37373737373738%" headers="mcps1.3.2.6.1.2.2.4.1.2 "><p id="mrs_01_1583__p11166102001918">TLS_DHE_RSA_WITH_AES_128_GCM_SHA256,TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256,TLS_DHE_RSA_WITH_AES_256_GCM_SHA384,TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384</p>
+</td>
+<td class="cellrowborder" valign="top" width="29.13131313131313%" headers="mcps1.3.2.6.1.2.2.4.1.3 "><p id="mrs_01_1583__p416672012199">Configure the SSL encryption algorithm.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1583__p12466195414114">For versions earlier than MRS 3.x, see <a href="#mrs_01_1583__table483518144219">Table 3</a>.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1583__table483518144219"></a><a name="table483518144219"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1583__table483518144219" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1583__row784318164215"><th align="left" class="cellrowborder" valign="top" width="33.333333333333336%" id="mcps1.3.2.6.1.4.2.4.1.1"><p id="mrs_01_1583__p1584161874216"><strong id="mrs_01_1583__b12184161417458">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.333333333333336%" id="mcps1.3.2.6.1.4.2.4.1.2"><p id="mrs_01_1583__p10841218114218"><strong id="mrs_01_1583__b707655384">Example Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.333333333333336%" id="mcps1.3.2.6.1.4.2.4.1.3"><p id="mrs_01_1583__p118451814428"><strong id="mrs_01_1583__b12469131624514">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1583__row2841218154215"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.2.6.1.4.2.4.1.1 "><p id="mrs_01_1583__p18541810424">security.ssl.internal.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.2.6.1.4.2.4.1.2 "><p id="mrs_01_1583__p1085161894216">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.2.6.1.4.2.4.1.3 "><p id="mrs_01_1583__p1785201894219">Enable internal SSL.</p>
+</td>
+</tr>
+<tr id="mrs_01_1583__row685131824219"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.2.6.1.4.2.4.1.1 "><p id="mrs_01_1583__p198561884217">akka.ssl.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.2.6.1.4.2.4.1.2 "><p id="mrs_01_1583__p785718114218">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.2.6.1.4.2.4.1.3 "><p id="mrs_01_1583__p985218164220">Enable Akka SSL.</p>
+</td>
+</tr>
+<tr id="mrs_01_1583__row1585151874218"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.2.6.1.4.2.4.1.1 "><p id="mrs_01_1583__p118512184424">blob.service.ssl.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.2.6.1.4.2.4.1.2 "><p id="mrs_01_1583__p138591813425">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.2.6.1.4.2.4.1.3 "><p id="mrs_01_1583__p885818144212">Enable SSL for the Blob channel.</p>
+</td>
+</tr>
+<tr id="mrs_01_1583__row158581804216"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.2.6.1.4.2.4.1.1 "><p id="mrs_01_1583__p18861189428">taskmanager.data.ssl.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.2.6.1.4.2.4.1.2 "><p id="mrs_01_1583__p78631874217">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.2.6.1.4.2.4.1.3 "><p id="mrs_01_1583__p1286018184219">Enable SSL transmissions between TaskManagers.</p>
+</td>
+</tr>
+<tr id="mrs_01_1583__row186201814425"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.2.6.1.4.2.4.1.1 "><p id="mrs_01_1583__p1186618174213">security.ssl.algorithms</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.2.6.1.4.2.4.1.2 "><p id="mrs_01_1583__p39101220164316">TLS_RSA_WITH_AES128CBC_SHA256</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.2.6.1.4.2.4.1.3 "><p id="mrs_01_1583__p168614187420">Configure the SSL encryption algorithm.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="p" id="mrs_01_1583__p8166132041917">For versions earlier than MRS 3.x, the following parameters in <a href="#mrs_01_1583__table2016662031916">Table 4</a> do not exist in the default Flink configuration of MRS. If you want to enable SSL for external connections, add the following parameters. After SSL for external connection is enabled, the native Flink page cannot be accessed using a Yarn proxy, because the Yarn open-source version cannot process HTTPS requests using a proxy. However, you can create a Windows VM in the same VPC of the cluster and access the native Flink page from the VM.
+<div class="tablenoborder"><a name="mrs_01_1583__table2016662031916"></a><a name="table2016662031916"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1583__table2016662031916" frame="border" border="1" rules="all"><caption><b>Table 4 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1583__row016719208199"><th align="left" class="cellrowborder" valign="top" width="33.666666666666664%" id="mcps1.3.2.6.1.5.2.2.4.1.1"><p id="mrs_01_1583__p12167120161910"><strong id="mrs_01_1583__b15498516485">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="23.909090909090907%" id="mcps1.3.2.6.1.5.2.2.4.1.2"><p id="mrs_01_1583__p616732012193"><strong id="mrs_01_1583__b12167820121913">Example Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="42.42424242424242%" id="mcps1.3.2.6.1.5.2.2.4.1.3"><p id="mrs_01_1583__p416716202199"><strong id="mrs_01_1583__b12167182011192">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1583__row31671620201918"><td class="cellrowborder" valign="top" width="33.666666666666664%" headers="mcps1.3.2.6.1.5.2.2.4.1.1 "><p id="mrs_01_1583__p10167142001911">security.ssl.rest.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.909090909090907%" headers="mcps1.3.2.6.1.5.2.2.4.1.2 "><p id="mrs_01_1583__p91673209191">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.42424242424242%" headers="mcps1.3.2.6.1.5.2.2.4.1.3 "><p id="mrs_01_1583__p81671320171913">Enable external SSL. If this parameter is set to <strong id="mrs_01_1583__b1113348054101012">true</strong>, set the related parameters by referring to <a href="#mrs_01_1583__table2016662031916">Table 4</a>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1583__row111674206196"><td class="cellrowborder" valign="top" width="33.666666666666664%" headers="mcps1.3.2.6.1.5.2.2.4.1.1 "><p id="mrs_01_1583__p81679206198">security.ssl.rest.keystore</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.909090909090907%" headers="mcps1.3.2.6.1.5.2.2.4.1.2 "><p id="mrs_01_1583__p10167182020193">${path}/flink.keystore</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.42424242424242%" headers="mcps1.3.2.6.1.5.2.2.4.1.3 "><p id="mrs_01_1583__p1816712204198">Path for storing the <strong id="mrs_01_1583__b413637911101012">keystore</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1583__row2167182061912"><td class="cellrowborder" valign="top" width="33.666666666666664%" headers="mcps1.3.2.6.1.5.2.2.4.1.1 "><p id="mrs_01_1583__p14167112016198">security.ssl.rest.keystore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.909090909090907%" headers="mcps1.3.2.6.1.5.2.2.4.1.2 "><p id="mrs_01_1583__p116742017196">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.42424242424242%" headers="mcps1.3.2.6.1.5.2.2.4.1.3 "><p id="mrs_01_1583__p3168320171914">A user-defined password of <strong id="mrs_01_1583__b516160172101012">keystore</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1583__row11168142013190"><td class="cellrowborder" valign="top" width="33.666666666666664%" headers="mcps1.3.2.6.1.5.2.2.4.1.1 "><p id="mrs_01_1583__p20168182018194">security.ssl.rest.key-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.909090909090907%" headers="mcps1.3.2.6.1.5.2.2.4.1.2 "><p id="mrs_01_1583__p9168182016198">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.42424242424242%" headers="mcps1.3.2.6.1.5.2.2.4.1.3 "><p id="mrs_01_1583__p7168102061917">A user-defined password of the SSL key.</p>
+</td>
+</tr>
+<tr id="mrs_01_1583__row11681620191912"><td class="cellrowborder" valign="top" width="33.666666666666664%" headers="mcps1.3.2.6.1.5.2.2.4.1.1 "><p id="mrs_01_1583__p2016882061916">security.ssl.rest.truststore</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.909090909090907%" headers="mcps1.3.2.6.1.5.2.2.4.1.2 "><p id="mrs_01_1583__p81681620101913">${path}/flink.truststore</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.42424242424242%" headers="mcps1.3.2.6.1.5.2.2.4.1.3 "><p id="mrs_01_1583__p191681201196">Path for storing the <strong id="mrs_01_1583__b1134752188101012">truststore</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1583__row121684208199"><td class="cellrowborder" valign="top" width="33.666666666666664%" headers="mcps1.3.2.6.1.5.2.2.4.1.1 "><p id="mrs_01_1583__p016842018197">security.ssl.rest.truststore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.909090909090907%" headers="mcps1.3.2.6.1.5.2.2.4.1.2 "><p id="mrs_01_1583__p31686205198">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.42424242424242%" headers="mcps1.3.2.6.1.5.2.2.4.1.3 "><p id="mrs_01_1583__p1916892018196">A user-defined password of <strong id="mrs_01_1583__b1489429911101012">truststore</strong>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="note" id="mrs_01_1583__note015317589471"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1583__p161546582475">Enabling SSL for data transmission between TaskManagers may pose great impact on the system performance.</p>
+</div></div>
+</li><li id="mrs_01_1583__li0109423191711">In the <strong id="mrs_01_1583__b185982516222">bin</strong> directory of the Flink client, run the <strong id="mrs_01_1583__b128593256223"><em id="mrs_01_1583__i148590255222">sh generate_keystore.sh </em></strong><em id="mrs_01_1583__i138591025172216">&lt;password&gt;</em> command. For details, see <a href="mrs_01_1583.html">Authentication and Encryption</a>. The configuration items in <a href="#mrs_01_1583__table5150181111227">Table 5</a> are set by default for MRS 3.<em id="mrs_01_1583__i14859122592217">x</em> or later. You can also configure them manually.
+<div class="tablenoborder"><a name="mrs_01_1583__table5150181111227"></a><a name="table5150181111227"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1583__table5150181111227" frame="border" border="1" rules="all"><caption><b>Table 5 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1583__row1115181113228"><th align="left" class="cellrowborder" valign="top" width="31.858585858585858%" id="mcps1.3.2.6.2.7.2.4.1.1"><p id="mrs_01_1583__p615181110229"><strong id="mrs_01_1583__b62587431732">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="23.484848484848484%" id="mcps1.3.2.6.2.7.2.4.1.2"><p id="mrs_01_1583__p915191110221"><strong id="mrs_01_1583__b215116112228">Example Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="44.656565656565654%" id="mcps1.3.2.6.2.7.2.4.1.3"><p id="mrs_01_1583__p71517113227"><strong id="mrs_01_1583__b141511611152210">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1583__row81511111192212"><td class="cellrowborder" valign="top" width="31.858585858585858%" headers="mcps1.3.2.6.2.7.2.4.1.1 "><p id="mrs_01_1583__p7151191119221">security.ssl.keystore</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.484848484848484%" headers="mcps1.3.2.6.2.7.2.4.1.2 "><p id="mrs_01_1583__p1151181110229">${path}/flink.keystore</p>
+</td>
+<td class="cellrowborder" valign="top" width="44.656565656565654%" headers="mcps1.3.2.6.2.7.2.4.1.3 "><p id="mrs_01_1583__p141514118223">Path for storing the <strong id="mrs_01_1583__b1876962902101012">keystore</strong>. <strong id="mrs_01_1583__b1272678175101012">flink.keystore</strong> indicates the name of the <strong id="mrs_01_1583__b1692733590101012">keystore</strong> file generated by the <strong id="mrs_01_1583__b512541498101012">generate_keystore.sh*</strong> tool.</p>
+</td>
+</tr>
+<tr id="mrs_01_1583__row61511511192214"><td class="cellrowborder" valign="top" width="31.858585858585858%" headers="mcps1.3.2.6.2.7.2.4.1.1 "><p id="mrs_01_1583__p615115111221">security.ssl.keystore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.484848484848484%" headers="mcps1.3.2.6.2.7.2.4.1.2 "><p id="mrs_01_1583__p1815115111229">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="44.656565656565654%" headers="mcps1.3.2.6.2.7.2.4.1.3 "><p id="mrs_01_1583__p1015112119227">A user-defined password of <strong id="mrs_01_1583__b981584474101012">keystore</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1583__row5151111112219"><td class="cellrowborder" valign="top" width="31.858585858585858%" headers="mcps1.3.2.6.2.7.2.4.1.1 "><p id="mrs_01_1583__p1615114114229">security.ssl.key-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.484848484848484%" headers="mcps1.3.2.6.2.7.2.4.1.2 "><p id="mrs_01_1583__p8151191112225">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="44.656565656565654%" headers="mcps1.3.2.6.2.7.2.4.1.3 "><p id="mrs_01_1583__p19151611142216">A user-defined password of the SSL key.</p>
+</td>
+</tr>
+<tr id="mrs_01_1583__row10151311102214"><td class="cellrowborder" valign="top" width="31.858585858585858%" headers="mcps1.3.2.6.2.7.2.4.1.1 "><p id="mrs_01_1583__p2151131114222">security.ssl.truststore</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.484848484848484%" headers="mcps1.3.2.6.2.7.2.4.1.2 "><p id="mrs_01_1583__p115241122212">${path}/flink.truststore</p>
+</td>
+<td class="cellrowborder" valign="top" width="44.656565656565654%" headers="mcps1.3.2.6.2.7.2.4.1.3 "><p id="mrs_01_1583__p3152121162210">Path for storing the <strong id="mrs_01_1583__b593713058101012">truststore</strong>. <strong id="mrs_01_1583__b2074299296101012">flink.truststore</strong> indicates the name of the <strong id="mrs_01_1583__b500504887101012">truststore</strong> file generated by the <strong id="mrs_01_1583__b247863352101012">generate_keystore.sh*</strong> tool.</p>
+</td>
+</tr>
+<tr id="mrs_01_1583__row515217114226"><td class="cellrowborder" valign="top" width="31.858585858585858%" headers="mcps1.3.2.6.2.7.2.4.1.1 "><p id="mrs_01_1583__p10152161142210">security.ssl.truststore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.484848484848484%" headers="mcps1.3.2.6.2.7.2.4.1.2 "><p id="mrs_01_1583__p1515210113229">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="44.656565656565654%" headers="mcps1.3.2.6.2.7.2.4.1.3 "><p id="mrs_01_1583__p71521411172213">A user-defined password of <strong id="mrs_01_1583__b749388243101012">truststore</strong>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1583__p6814173753319">For versions earlier than MRS 3.x, the <strong id="mrs_01_1583__b7156142793619"><em id="mrs_01_1583__i315692716360">generate_keystore.sh</em></strong> command is generated automatically, and the configuration items in <a href="#mrs_01_1583__table93931053183719">Table 6</a> are set by default. You can also configure them manually.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1583__table93931053183719"></a><a name="table93931053183719"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1583__table93931053183719" frame="border" border="1" rules="all"><caption><b>Table 6 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1583__row20393105319372"><th align="left" class="cellrowborder" valign="top" width="31.141414141414142%" id="mcps1.3.2.6.2.9.2.4.1.1"><p id="mrs_01_1583__p123941453123715"><strong id="mrs_01_1583__b296716391867">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="24.949494949494948%" id="mcps1.3.2.6.2.9.2.4.1.2"><p id="mrs_01_1583__p63941353153718"><strong id="mrs_01_1583__b1415814289">Example Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="43.90909090909091%" id="mcps1.3.2.6.2.9.2.4.1.3"><p id="mrs_01_1583__p17394353103716"><strong id="mrs_01_1583__b107691442765">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1583__row1339413532376"><td class="cellrowborder" valign="top" width="31.141414141414142%" headers="mcps1.3.2.6.2.9.2.4.1.1 "><p id="mrs_01_1583__p1861113313819">security.ssl.internal.keystore</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.949494949494948%" headers="mcps1.3.2.6.2.9.2.4.1.2 "><p id="mrs_01_1583__p203943535379">${path}/flink.keystore</p>
+</td>
+<td class="cellrowborder" valign="top" width="43.90909090909091%" headers="mcps1.3.2.6.2.9.2.4.1.3 "><p id="mrs_01_1583__p23942539376">Path for storing the <strong id="mrs_01_1583__b4732124517612">keystore</strong>. <strong id="mrs_01_1583__b773304514612">flink.keystore</strong> indicates the name of the <strong id="mrs_01_1583__b67331445268">keystore</strong> file generated by the <strong id="mrs_01_1583__b77341845368">generate_keystore.sh*</strong> tool.</p>
+</td>
+</tr>
+<tr id="mrs_01_1583__row1739410539378"><td class="cellrowborder" valign="top" width="31.141414141414142%" headers="mcps1.3.2.6.2.9.2.4.1.1 "><p id="mrs_01_1583__p18975201413816">security.ssl.internal.keystore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.949494949494948%" headers="mcps1.3.2.6.2.9.2.4.1.2 "><p id="mrs_01_1583__p1394115320370">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="43.90909090909091%" headers="mcps1.3.2.6.2.9.2.4.1.3 "><p id="mrs_01_1583__p1639455314377">A user-defined password of <strong id="mrs_01_1583__b107125711717">keystore</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1583__row339415363710"><td class="cellrowborder" valign="top" width="31.141414141414142%" headers="mcps1.3.2.6.2.9.2.4.1.1 "><p id="mrs_01_1583__p239495393716">security.ssl.internal.key-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.949494949494948%" headers="mcps1.3.2.6.2.9.2.4.1.2 "><p id="mrs_01_1583__p1395953103717">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="43.90909090909091%" headers="mcps1.3.2.6.2.9.2.4.1.3 "><p id="mrs_01_1583__p163951853183714">A user-defined password of the SSL key.</p>
+</td>
+</tr>
+<tr id="mrs_01_1583__row1939516536372"><td class="cellrowborder" valign="top" width="31.141414141414142%" headers="mcps1.3.2.6.2.9.2.4.1.1 "><p id="mrs_01_1583__p1856511376387">security.ssl.internal.truststore</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.949494949494948%" headers="mcps1.3.2.6.2.9.2.4.1.2 "><p id="mrs_01_1583__p18395053113711">${path}/flink.truststore</p>
+</td>
+<td class="cellrowborder" valign="top" width="43.90909090909091%" headers="mcps1.3.2.6.2.9.2.4.1.3 "><p id="mrs_01_1583__p1539513533374">Path for storing the <strong id="mrs_01_1583__b38774211679">truststore</strong>. <strong id="mrs_01_1583__b158826214710">flink.truststore</strong> indicates the name of the <strong id="mrs_01_1583__b148821121078">truststore</strong> file generated by the <strong id="mrs_01_1583__b198836216715">generate_keystore.sh*</strong> tool.</p>
+</td>
+</tr>
+<tr id="mrs_01_1583__row16395105353715"><td class="cellrowborder" valign="top" width="31.141414141414142%" headers="mcps1.3.2.6.2.9.2.4.1.1 "><p id="mrs_01_1583__p27491947203817">security.ssl.internal.truststore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.949494949494948%" headers="mcps1.3.2.6.2.9.2.4.1.2 "><p id="mrs_01_1583__p939511532374">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="43.90909090909091%" headers="mcps1.3.2.6.2.9.2.4.1.3 "><p id="mrs_01_1583__p0395153123713">A user-defined password of <strong id="mrs_01_1583__b324582510717">truststore</strong>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1583__p2152611122213">For versions earlier than MRS 3.x, if SSL for external connections is enabled, that is, <strong id="mrs_01_1583__b1695817353711">security.ssl.rest.enabled</strong> is set to <strong id="mrs_01_1583__b665133912714">true</strong>, you need to configure the parameters listed in <a href="#mrs_01_1583__table1615251112213">Table 7</a>.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1583__table1615251112213"></a><a name="table1615251112213"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1583__table1615251112213" frame="border" border="1" rules="all"><caption><b>Table 7 </b>Parameters</caption><thead align="left"><tr id="mrs_01_1583__row1115381113221"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.6.2.11.2.4.1.1"><p id="mrs_01_1583__p1915361122214"><strong id="mrs_01_1583__b1897417566711">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="24.636363636363633%" id="mcps1.3.2.6.2.11.2.4.1.2"><p id="mrs_01_1583__p1515331112217"><strong id="mrs_01_1583__b12153181162219">Example Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="42.03030303030303%" id="mcps1.3.2.6.2.11.2.4.1.3"><p id="mrs_01_1583__p15153191172214"><strong id="mrs_01_1583__b815371102214">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1583__row13153141152215"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.11.2.4.1.1 "><p id="mrs_01_1583__p2153181142219">security.ssl.rest.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.636363636363633%" headers="mcps1.3.2.6.2.11.2.4.1.2 "><p id="mrs_01_1583__p315320112227">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.03030303030303%" headers="mcps1.3.2.6.2.11.2.4.1.3 "><p id="mrs_01_1583__p1115310110227">Enable external SSL. If this parameter is set to <strong id="mrs_01_1583__b1310810389101012">true</strong>, set the related parameters by referring to <a href="#mrs_01_1583__table1615251112213">Table 7</a>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1583__row181531711202216"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.11.2.4.1.1 "><p id="mrs_01_1583__p11154211172212">security.ssl.rest.keystore</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.636363636363633%" headers="mcps1.3.2.6.2.11.2.4.1.2 "><p id="mrs_01_1583__p1315412111221">${path}/flink.keystore</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.03030303030303%" headers="mcps1.3.2.6.2.11.2.4.1.3 "><p id="mrs_01_1583__p8154111182213">Path for storing the <strong id="mrs_01_1583__b1531849743101012">keystore</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1583__row1315451192215"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.11.2.4.1.1 "><p id="mrs_01_1583__p101541011172215">security.ssl.rest.keystore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.636363636363633%" headers="mcps1.3.2.6.2.11.2.4.1.2 "><p id="mrs_01_1583__p1415411112219">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.03030303030303%" headers="mcps1.3.2.6.2.11.2.4.1.3 "><p id="mrs_01_1583__p171543111224">A user-defined password of <strong id="mrs_01_1583__b1669801055101012">keystore</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1583__row15155151142218"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.11.2.4.1.1 "><p id="mrs_01_1583__p15155811162214">security.ssl.rest.key-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.636363636363633%" headers="mcps1.3.2.6.2.11.2.4.1.2 "><p id="mrs_01_1583__p01554115222">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.03030303030303%" headers="mcps1.3.2.6.2.11.2.4.1.3 "><p id="mrs_01_1583__p16155111182216">A user-defined password of the SSL key.</p>
+</td>
+</tr>
+<tr id="mrs_01_1583__row415521182212"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.11.2.4.1.1 "><p id="mrs_01_1583__p51559117225">security.ssl.rest.truststore</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.636363636363633%" headers="mcps1.3.2.6.2.11.2.4.1.2 "><p id="mrs_01_1583__p161551411132213">${path}/flink.truststore</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.03030303030303%" headers="mcps1.3.2.6.2.11.2.4.1.3 "><p id="mrs_01_1583__p14156111112214">Path for storing the <strong id="mrs_01_1583__b2053201133101012">truststore</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1583__row215616119222"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.6.2.11.2.4.1.1 "><p id="mrs_01_1583__p10156101111229">security.ssl.rest.truststore-password</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.636363636363633%" headers="mcps1.3.2.6.2.11.2.4.1.2 "><p id="mrs_01_1583__p101567113221">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.03030303030303%" headers="mcps1.3.2.6.2.11.2.4.1.3 "><p id="mrs_01_1583__p1515631182213">A user-defined password of <strong id="mrs_01_1583__b951551815101012">truststore</strong>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_1583__note015681112228"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1583__p1815617111229">The <strong id="mrs_01_1583__b1205197712101012">path</strong> directory is a user-defined directory for storing configuration files of the SSL keystore and truststore. The commands vary according to the relative path and absolute path. For details, see <a href="#mrs_01_1583__li02291947181712">3</a> and <a href="#mrs_01_1583__li15533111081818">4</a>.</p>
+</div></div>
+</li><li id="mrs_01_1583__li02291947181712"><a name="mrs_01_1583__li02291947181712"></a><a name="li02291947181712"></a>If the <strong id="mrs_01_1583__b1313606383101012">keystore</strong> or <strong id="mrs_01_1583__b1651215760101012">truststore</strong> file path is a relative path, the Flink client directory where the command is executed needs to access this relative path directly. Either of the following method can be used to transmit the keystore and truststore file:<ul id="mrs_01_1583__ul19691717192310"><li id="mrs_01_1583__li769101722314">Add <strong id="mrs_01_1583__b1146364344101012">-t</strong> option to the <strong id="mrs_01_1583__b808812728101012">CLI yarn-session.sh</strong> command to transfer the <strong id="mrs_01_1583__b1381081593101012">keystore</strong> and <strong id="mrs_01_1583__b259461042101012">truststore</strong> file to execution nodes. Example:<pre class="screen" id="mrs_01_1583__screen1569131792313">./bin/yarn-session.sh -t ssl/</pre>
+</li><li id="mrs_01_1583__li1170141792312">Add <strong id="mrs_01_1583__b1909679154101012">-yt</strong> option to the <strong id="mrs_01_1583__b30169852101012">flink run</strong> command to transfer the <strong id="mrs_01_1583__b1193406759101012">keystore</strong> and <strong id="mrs_01_1583__b249744439101012">truststore</strong> file to execution nodes. Example:<pre class="screen" id="mrs_01_1583__screen1570191732312">./bin/flink run -yt ssl/ -ys 3  -m yarn-cluster -c org.apache.flink.examples.java.wordcount.WordCount /opt/client/Flink/flink/examples/batch/WordCount.jar</pre>
+<div class="note" id="mrs_01_1583__note270317102316"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1583__ul970717152318"><li id="mrs_01_1583__li67014178233">In the preceding example, <strong id="mrs_01_1583__b1141545185101012">ssl/</strong> is the sub-directory of the Flink client directory. It is used to store configuration files of the SSL keystore and truststore.</li><li id="mrs_01_1583__li2070417202312">The relative path of <strong id="mrs_01_1583__b1513973209101012">ssl/</strong> must be accessible from the current path where the Flink client command is run.</li></ul>
+</div></div>
+</li></ul>
+</li><li id="mrs_01_1583__li15533111081818"><a name="mrs_01_1583__li15533111081818"></a><a name="li15533111081818"></a>If the keystore or truststore file path is an absolute path, the keystore and truststore files must exist in the absolute path on Flink Client and all nodes.<div class="note" id="mrs_01_1583__note2771125792316"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1583__p877245718234">For versions earlier than MRS 3.x, the user who submits the job must have the permission to read the keystore and truststore files.</p>
+</div></div>
+<p id="mrs_01_1583__p187721557172318">Either of the following methods can be used to execute applications. The <strong id="mrs_01_1583__b1625609797101012">-t</strong> or <strong id="mrs_01_1583__b1536739835101012">-yt</strong> option does not need to be added to transmit the <strong id="mrs_01_1583__b488098729101012">keystore</strong> and <strong id="mrs_01_1583__b2111240676101012">truststore</strong> files.</p>
+<ul id="mrs_01_1583__ul977215713237"><li id="mrs_01_1583__li1077265716232">Run the <strong id="mrs_01_1583__b757442848101012">CLI yarn-session.sh</strong> command of Flink to execute applications. Example:<pre class="screen" id="mrs_01_1583__screen1777210573238">./bin/yarn-session.sh</pre>
+</li><li id="mrs_01_1583__li9772857102312">Run the <strong id="mrs_01_1583__b453428774101012">Flink run</strong> command to execute applications. Example:<pre class="screen" id="mrs_01_1583__screen1077220578232">./bin/flink run  -ys 3 -m yarn-cluster -c org.apache.flink.examples.java.wordcount.WordCount /opt/client/Flink/flink/examples/batch/WordCount.jar</pre>
+</li></ul>
+</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0594.html">Security Hardening</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1584.html b/docs/mrs/component-operation-guide/mrs_01_1584.html
new file mode 100644
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+++ b/docs/mrs/component-operation-guide/mrs_01_1584.html
@@ -0,0 +1,14 @@
+<a name="mrs_01_1584"></a><a name="mrs_01_1584"></a>
+
+<h1 class="topictitle1">ACL Control</h1>
+<div id="body1596441032921"><p id="mrs_01_1584__p8591153916516">In HA mode of Flink, ZooKeeper can be used to manage clusters and discover services. Zookeeper supports SASL ACL control. Only users who have passed the SASL (Kerberos) authentication have the permission to operate files on ZooKeeper. To enable SASL ACL control, perform following configurations in the Flink configuration file.</p>
+<pre class="screen" id="mrs_01_1584__screen1959163985116">high-availability.zookeeper.client.acl: creator
+zookeeper.sasl.disable: false</pre>
+<p id="mrs_01_1584__p55911039185110">For details about configuration items, see <a href="mrs_01_1575.html#mrs_01_1575__ta903d6a9c6d24f72abdf46625096cd8c">Table 1</a>.</p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0594.html">Security Hardening</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1585.html b/docs/mrs/component-operation-guide/mrs_01_1585.html
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+<a name="mrs_01_1585"></a><a name="mrs_01_1585"></a>
+
+<h1 class="topictitle1">Web Security</h1>
+<div id="body1596441032921"><div class="section" id="mrs_01_1585__section1627419181102"><h4 class="sectiontitle">Coding Specifications</h4><p id="mrs_01_1585__p1364094615101">Note: The same coding mode is used on the web service client and server to prevent garbled characters and to enable input verification.</p>
+<p id="mrs_01_1585__p2064019467101">Security hardening: apply UTF-8 to response messages of web server.</p>
+</div>
+<div class="section" id="mrs_01_1585__section163105213118"><h4 class="sectiontitle">Whitelist-based Filter of IP Addresses</h4><p id="mrs_01_1585__p1552264015111">Note: IP filter must be added to the web server to filter unauthorized requests from the source IP address and prevent unauthorized login.</p>
+<p id="mrs_01_1585__p155235403114">Security: Add <strong id="mrs_01_1585__b26092780210435">jobmanager.web.allow-access-address</strong> to enable the IP filter. By default, only Yarn users are supported.</p>
+<div class="note" id="mrs_01_1585__note270317102316"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1585__p19369191644619">After the client is installed, you need to add the IP address of the client node to the <strong id="mrs_01_1585__b1962202453218">jobmanager.web.allow-access-address</strong> configuration item.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1585__section1417310220123"><h4 class="sectiontitle">Preventing Sending the Absolute Paths to the Client</h4><p id="mrs_01_1585__p642691419139">Note: If an absolute path is sent to a client, the directory structure of the server is exposed, increasing the risk that attackers know and attack the system.</p>
+<p id="mrs_01_1585__p1142620147132">Security hardening: If the Flink configuration file contains a parameter starting with a slash (/), the first-level directory is deleted.</p>
+</div>
+<div class="section" id="mrs_01_1585__sb79f6827ac144ae9b077185b04d2aa71"><h4 class="sectiontitle">Same-origin Policy</h4><p id="mrs_01_1585__p9857944122112">The same-source policy applies to MRS 3.x or later.</p>
+<p id="mrs_01_1585__a19887e17728b46a8b12727d318802a0b">If two URL protocols have same hosts and ports, they are of the same origin. Protocols of different origins cannot access each other, unless the source of the visitor is specified on the host of the service to be visited.</p>
+<p id="mrs_01_1585__a70e085b31ce744e2879a7fd0796d2272">Security hardening: The default value of the header of the response header <span class="parmname" id="mrs_01_1585__p93a360734bf246ceb19c5300c256fc3b"><b>Access-Control-Allow-Origin</b></span> is the IP address of ResourceManager on Yarn clusters. If the IP address is not from Yarn, mutual access is not allowed.</p>
+</div>
+<div class="section" id="mrs_01_1585__s42852a9d186e4e7d8e27d2a4be5cda5c"><h4 class="sectiontitle">Preventing Sensitive Information Disclosure</h4><p id="mrs_01_1585__p1172793862717">Sensitive information disclosure prevention is applicable to MRS 3.x or later.</p>
+<p id="mrs_01_1585__a85b241a6228446258c4c1f490f1378f0">Web pages containing sensitive data must not be cached, to avoid leakage of sensitive information or data crosstalk among users who visit the internet through the proxy server.</p>
+<p id="mrs_01_1585__ae4095e96610444488c4514a9ddcde3d2">Security hardening: Add <span class="parmname" id="mrs_01_1585__parmname213293781910435"><b>Cache-control</b></span>, <span class="parmname" id="mrs_01_1585__parmname136331994110435"><b>Pragma</b></span>, <span class="parmname" id="mrs_01_1585__parmname44372899310435"><b>Expires</b></span> security header. The default value is <span class="parmvalue" id="mrs_01_1585__parmvalue89536330610435"><b>Cache-Control: no-store</b></span>, <span class="parmvalue" id="mrs_01_1585__parmvalue151740283010435"><b>Pragma: no-cache</b></span>, and <span class="parmvalue" id="mrs_01_1585__parmvalue52131524910435"><b>Expires: 0</b></span>.</p>
+<p id="mrs_01_1585__a86b93f463ef94685b09c44c75567c009">The security hardening stops contents interacted between Flink and web server from being cached.</p>
+</div>
+<div class="section" id="mrs_01_1585__sff8eb0099b2d424f9a3c979aa685b1aa"><h4 class="sectiontitle">Anti-Hijacking</h4><p id="mrs_01_1585__p77218253287">Anti-hijacking applies to MRS 3.x or later.</p>
+<p id="mrs_01_1585__a1a02844271ec403c8284d699aab19c23">Since hotlinking and clickjacking use framing technologies, security hardening is required to prevent attacks.</p>
+<p id="mrs_01_1585__a699f930106c245ef9cd8e9f4e732f16d">Security hardening: Add <span class="parmname" id="mrs_01_1585__parmname57736826510435"><b>X-Frame-Options</b></span> security header to specify whether the browser will load the pages from <span class="wintitle" id="mrs_01_1585__wintitle63794605410435"><b>iframe</b></span>, <span class="wintitle" id="mrs_01_1585__wintitle197481164610435"><b>frame</b></span> or <span class="wintitle" id="mrs_01_1585__wintitle172369172810435"><b>object</b></span>. The default value is <span class="parmname" id="mrs_01_1585__parmname18868875810435"><b>X-Frame-Options: DENY</b></span>, indicating that no pages can be nested to <span class="wintitle" id="mrs_01_1585__wintitle53549892710435"><b>iframe</b></span>, <span class="wintitle" id="mrs_01_1585__wintitle113020989510435"><b>frame</b></span> or <span class="wintitle" id="mrs_01_1585__wintitle132510187010435"><b>object</b></span>.</p>
+</div>
+<div class="section" id="mrs_01_1585__s7e946ce5c3294b0dacaa5787b8302214"><h4 class="sectiontitle">Logging calls of the Web Service APIs</h4><p id="mrs_01_1585__p44871359172818">This function applies to MRS 3.x or later.</p>
+<p id="mrs_01_1585__a392b81a43f32413fbe706cf288edc987">Calls of the <span class="parmname" id="mrs_01_1585__p233b4958dfe54206a978a48dc30fbfe8"><b>Flink webmonitor restful</b></span> APIs are logged.</p>
+<p id="mrs_01_1585__a83eb099900a14eaeb4ddceb2abb761c7">The <span class="parmname" id="mrs_01_1585__p914a092e26d148599a5431a3f71d9068"><b>jobmanager.web.accesslog.enable</b></span> can be added in the <span class="filepath" id="mrs_01_1585__fb6c5cfe2616d4729a817f9f01d8cf0d8"><b>access log</b></span>. The default value is <span class="parmvalue" id="mrs_01_1585__pc414865cd968402bb26db2ff8db9f3fb"><b>true</b></span>. Logs are stored in a separate <span class="filepath" id="mrs_01_1585__ff6cea9819d534cfa9460b2c9cf7d59e6"><b>webaccess.log</b></span> file.</p>
+</div>
+<div class="section" id="mrs_01_1585__s9c6e4194ccd440b39317613532b12244"><h4 class="sectiontitle">Cross-Site Request Forgery Prevention</h4><p id="mrs_01_1585__p16904973118">Cross-site request forgery (CSRF) prevention applies to MRS 3.x or later.</p>
+<p id="mrs_01_1585__a5d1929d4597e42ceb4f8bcfe30d9b3e2">In <strong id="mrs_01_1585__b125169997810435">Browser/Server</strong> applications, CSRF must be prevented for operations involving server data modification, such as adding, modifying, and deleting. The CSRF forces end users to execute non-intended operations on the current web application.</p>
+<p id="mrs_01_1585__ac773e543328045898efdb03117e3a657">Security hardening: Only two post APIs, one delete API, and get interfaces are reserve for modification requests. All other APIs are deleted.</p>
+</div>
+<div class="section" id="mrs_01_1585__s66ee262aa1f642159d8663af3045bdda"><h4 class="sectiontitle">Troubleshooting</h4><p id="mrs_01_1585__p754865593117">This function applies to MRS 3.x or later.</p>
+<p id="mrs_01_1585__a8dd26f79163f492895a3b07b658544d2">When the application is abnormal, exception information is filtered, logged, and returned to the client.</p>
+<p id="mrs_01_1585__abeac679fc5bf45e5a8c0ebceb5dcc7bb">Security hardening</p>
+<ul id="mrs_01_1585__ue557464eb32d470f82f85dab73ca4bdc"><li id="mrs_01_1585__l1738bc80925c488ab437270922f9023a">A default error message page to filter information and log detailed error information.</li><li id="mrs_01_1585__l56b555db98c747cb9c49aa155ff7fd1c">Four configuration parameters are added to ensure that the error page is switched to a specified URL provided by FusionInsight, preventing exposure of unnecessary information.
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1585__t50f10913e90c4be086f05134a5e3d8af" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1585__r3c82398408344bb5b2c04e89e253cb4f"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.9.5.2.1.2.5.1.1"><p id="mrs_01_1585__a8c47233333484ea193db39b34a9f93c3"><strong id="mrs_01_1585__b3321194917413">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.9.5.2.1.2.5.1.2"><p id="mrs_01_1585__a4de425c85ebd462b9a61e9bba5bded6b"><strong id="mrs_01_1585__ab7c738c432c349fda0fe79c586bbf376">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.9.5.2.1.2.5.1.3"><p id="mrs_01_1585__a4aab0f0d9b87469daec72805b8a36528"><strong id="mrs_01_1585__a7521053abe314121bfadbe5011c0cd29">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.9.5.2.1.2.5.1.4"><p id="mrs_01_1585__ab483eac023a345f68fc5a4bb72db2078">Mandatory</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1585__r125378f3d22548758262afa3cecf6a84"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.9.5.2.1.2.5.1.1 "><p id="mrs_01_1585__aabbd050b59aa4b03849bf27d26fe1941">jobmanager.web.403-redirect-url</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.9.5.2.1.2.5.1.2 "><p id="mrs_01_1585__a66a91a2088ee44f99556bbcb6dd724c3">Web page access error 403. If 403 error occurs, the page switch to a specified page.</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.9.5.2.1.2.5.1.3 "><p id="mrs_01_1585__aa3d00a0c087e46cda54520742e39b802">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.9.5.2.1.2.5.1.4 "><p id="mrs_01_1585__a394a30d3ee7a409c93262658b4c6242f">Yes</p>
+</td>
+</tr>
+<tr id="mrs_01_1585__r80705d2b2c064ed7b5e40cb216d53730"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.9.5.2.1.2.5.1.1 "><p id="mrs_01_1585__a33304d61af4d428caa3660b86241ed30">jobmanager.web.404-redirect-url</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.9.5.2.1.2.5.1.2 "><p id="mrs_01_1585__a98cb338f16114248a372a5dd3cc6c291">Web page access error 404. If 404 error occurs, the page switch to a specified page.</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.9.5.2.1.2.5.1.3 "><p id="mrs_01_1585__ac0b2096d45654d08acd7c33ee7503f4e">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.9.5.2.1.2.5.1.4 "><p id="mrs_01_1585__ae55c95ac6af04aafb5aed43508e80d1a">Yes</p>
+</td>
+</tr>
+<tr id="mrs_01_1585__r78fa120714b94ea0b0d5b6ac0326190a"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.9.5.2.1.2.5.1.1 "><p id="mrs_01_1585__a4eea5bfa9e754d95a74f342e1eb376eb">jobmanager.web.415-redirect-url</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.9.5.2.1.2.5.1.2 "><p id="mrs_01_1585__a8c795a79af6f45d1ac3f5dda1a317752">Web page access error 415. If 415 error occurs, the page switch to a specified page.</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.9.5.2.1.2.5.1.3 "><p id="mrs_01_1585__a803aa9ae57b1406aae969f8d25c745b5">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.9.5.2.1.2.5.1.4 "><p id="mrs_01_1585__a083c0e58d3314c3392daee2b765c831f">Yes</p>
+</td>
+</tr>
+<tr id="mrs_01_1585__r874660eacb604eb794101b050fcb454d"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.9.5.2.1.2.5.1.1 "><p id="mrs_01_1585__a57f8082a520c4e7e972f22ab12b54bf0">jobmanager.web.500-redirect-url</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.9.5.2.1.2.5.1.2 "><p id="mrs_01_1585__a82a9dcf7846a476abc238f2a2d2ae9a3">Web page access error 500. If 500 error occurs, the page switch to a specified page.</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.9.5.2.1.2.5.1.3 "><p id="mrs_01_1585__a76cd3e9021bf4f0c9799323e653c5740">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.9.5.2.1.2.5.1.4 "><p id="mrs_01_1585__a8d81033bf19b4b9a848a1d8550878d54">Yes</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1585__sf1bdafc4eed14fe399dc3ffbdce19a48"><h4 class="sectiontitle">HTML5 Security</h4><p id="mrs_01_1585__p1244416228326">HTML5 security applies to MRS 3.x or later.</p>
+<p id="mrs_01_1585__aa12838891ff0436799228133b6d52513">HTML5 is a next generation web development specification that provides new functions and extend the labels for developers. These new labels and functions increase the attack surface and pose attack risks (such as cross-domain resource sharing, client storage, WebWorker, WebRTC, and WebSocket).</p>
+<div class="p" id="mrs_01_1585__a5025ac3d967d42daa864cd7546e99cb6">Security hardening: Add the <span class="parmname" id="mrs_01_1585__parmname133280939110435"><b>Access-Control-Allow-Origin</b></span> parameter. For example, if you want to enable the cross-domain resource sharing, configure the <span class="parmname" id="mrs_01_1585__parmname161053756310435"><b>Access-Control-Allow-Origin</b></span> parameter of the HTTP response header.<div class="note" id="mrs_01_1585__n708edc8ad0054037b4c6e545a9252392"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1585__a32977854bdd74f14854efe9ba0d265bc">Flink does not involve security risks of functions such as storage on the client, WebWorker, WebRTC, and WebSocket.</p>
+</div></div>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0594.html">Security Hardening</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1586.html b/docs/mrs/component-operation-guide/mrs_01_1586.html
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@@ -0,0 +1,11 @@
+<a name="mrs_01_1586"></a><a name="mrs_01_1586"></a>
+
+<h1 class="topictitle1">Security Statement</h1>
+<div id="body1596441161439"><ul id="mrs_01_1586__ul15748162695716"><li id="mrs_01_1586__li174862655719">All security functions of Flink are provided by the open source community or self-developed. Security features that need to be configured by users, such as authentication and SSL encrypted transmission, may affect performance.</li><li id="mrs_01_1586__li197481926195717">As a big data computing and analysis platform, Flink does not detect sensitive information. Therefore, you need to ensure that the input data is not sensitive.</li><li id="mrs_01_1586__li374819269576">You can evaluate whether configurations are secure as required.</li><li id="mrs_01_1586__li5748112619573">For any security-related problems, contact O&amp;M support.</li></ul>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0591.html">Using Flink</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1587.html b/docs/mrs/component-operation-guide/mrs_01_1587.html
new file mode 100644
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@@ -0,0 +1,29 @@
+<a name="mrs_01_1587"></a><a name="mrs_01_1587"></a>
+
+
+  <h1 class="topictitle1">Optimization DataStream</h1>
+
+  <div id="body1596442815776"><p id="mrs_01_1587__a00173bcd1b9842aa8fc38a2c527a71b6"></p>
+</div>
+
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1588.html">Memory Configuration Optimization</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1589.html">Configuring DOP</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1590.html">Configuring Process Parameters</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1591.html">Optimizing the Design of Partitioning Method</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1592.html">Configuring the Netty Network Communication</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1593.html">Experience Summary</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0597.html">Flink Performance Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1588.html b/docs/mrs/component-operation-guide/mrs_01_1588.html
new file mode 100644
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--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1588.html
@@ -0,0 +1,19 @@
+<a name="mrs_01_1588"></a><a name="mrs_01_1588"></a>
+
+<h1 class="topictitle1">Memory Configuration Optimization</h1>
+<div id="body1596442815778"><div class="section" id="mrs_01_1588__s644e5930d2e54bf898eecab47bd7f36c"><h4 class="sectiontitle">Scenarios</h4><p class="msonormal" id="mrs_01_1588__a9cff5a5c5e6b4cb59882f130c8192f61">The computing of Flink depends on memory. If the memory is insufficient, the performance of Flink will be greatly deteriorated. One solution is to monitor garbage collection (GC) to evaluate the memory usage. If the memory becomes the performance bottleneck, optimize the memory usage according to the actual situation.</p>
+<p class="msonormal" id="mrs_01_1588__abc0b14d852fb4ada95fde5c61a0976c2">If <span class="uicontrol" id="mrs_01_1588__u4b21843df75f4cbe9a998d1c9831595f"><b>Full GC</b></span> is frequently reported in the Container GC on the Yarn that monitors the node processes, the GC needs to be optimized.</p>
+<div class="note" id="mrs_01_1588__n4c39f10842ff40ed9310830bdf48eb0b"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1588__a78806b90706148138b9cc51ef1caf4cd">In the <span class="parmname" id="mrs_01_1588__p5d37c6f1a2594dadb1807bba436233ee"><b>env.java.opts</b></span> configuration item of the <span class="parmname" id="mrs_01_1588__p90d98142d6364fff9bab90a18ebbe842"><b>conf/flink-conf.yaml</b></span> file on the client, add the <span class="parmname" id="mrs_01_1588__pf5fe829d16f54d758c2dffd9cdab8ff0"><b>-Xloggc:&lt;LOG_DIR&gt;/gc.log -XX:+PrintGCDetails -XX:-OmitStackTraceInFastThrow -XX:+PrintGCTimeStamps -XX:+PrintGCDateStamps -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=20 -XX:GCLogFileSize=20M</b></span> parameter. The GC log is configured by default.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1588__se9835c745a1044ee80afe327b9a3a620"><h4 class="sectiontitle">Procedure</h4><ul id="mrs_01_1588__u69632b1071774885b72c4be66bb72a52"><li id="mrs_01_1588__l6fa9a7f1251b4b7589b1f18e5a4fef72">Optimize GC.<p id="mrs_01_1588__adb30d0d298cf49c5b4681d2d0439fb6b"><a name="mrs_01_1588__l6fa9a7f1251b4b7589b1f18e5a4fef72"></a><a name="l6fa9a7f1251b4b7589b1f18e5a4fef72"></a>Adjust the ratio of tenured generation memory to young generation memory. In the <span class="parmname" id="mrs_01_1588__pce576bb9caeb4b77ab3820fea9e07e56"><b>conf/flink-conf.yaml </b></span>configuration file on the client, add the <span class="parmname" id="mrs_01_1588__peaa21fb681cf4ee49ad1de30f7808a16"><b>-XX:NewRatio</b></span> parameter to the <span class="parmname" id="mrs_01_1588__pe4d430c63ab9435688321639abca70e5"><b>env.java.opts</b></span> configuration item. For example, <span class="parmname" id="mrs_01_1588__p38cb69f3107e48de817158a5cbf89e0d"><b>-XX:NewRatio=2</b></span> indicates that ratio of tenured generation memory to young generation memory is 2:1, that is, the young generation memory occupies one third and tenured generation memory occupies two thirds.</p>
+</li><li id="mrs_01_1588__lb591081493e746feafa060035b39ef17">When developing Flink applications, optimize the partitioning or grouping operation of DataStream.<ul id="mrs_01_1588__u5e59e82ff0b24f4586e0d390d7997c68"><li id="mrs_01_1588__l9185f76d223e408896776164cc3635bd">If partitioning causes data skew, partitions need to be optimized.</li><li id="mrs_01_1588__ld47ded92f67d48a7842ecccecfc65549">Do not perform concurrent operations, because some operations, WindowAll for example, to DataStream do not support parallelism.</li><li id="mrs_01_1588__lb0bb242e0d9044d2a302d675e4e3d98c">Do not use set keyBy to string type.</li></ul>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1587.html">Optimization DataStream</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1589.html b/docs/mrs/component-operation-guide/mrs_01_1589.html
new file mode 100644
index 000000000..d142786a5
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1589.html
@@ -0,0 +1,40 @@
+<a name="mrs_01_1589"></a><a name="mrs_01_1589"></a>
+
+<h1 class="topictitle1">Configuring DOP</h1>
+<div id="body1596442815780"><div class="section" id="mrs_01_1589__s5e40e617f98542df9a4ab0d1d3b9f990"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1589__a648869e4dcf9472199d9473583962161">The degree of parallelism (DOP) indicates the number of tasks to be executed concurrently. It determines the number of data blocks after the operation. Configuring the DOP will optimize the number of tasks, data volume of each task, and the host processing capability.</p>
+<p id="mrs_01_1589__a7743c516e6234ef4b76f597ada25a426">Query the CPU and memory usage. If data and tasks are not evenly distributed among nodes, increase the DOP for even distribution. </p>
+</div>
+<div class="section" id="mrs_01_1589__s29757af776f541e99d6c97df085ae40e"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1589__ac69554dd29244fb7950552e94bcdfe7e">Configure the DOP at one of the following layers (the priorities of which are in the descending order) based on the actual memory, CPU, data, and application logic conditions:</p>
+<ul id="mrs_01_1589__uf9cabb09a24c40be9df9ee02dc57da64"><li id="mrs_01_1589__l6a9599cdcda8477caaa601bad4655d05">Operator<div class="p" id="mrs_01_1589__ac493f9c75bdb49a7ae0af7aed36df9b2"><a name="mrs_01_1589__l6a9599cdcda8477caaa601bad4655d05"></a><a name="l6a9599cdcda8477caaa601bad4655d05"></a>Call the <strong id="mrs_01_1589__b111164662210346">setParallelism()</strong> method to specify the DOP of an operator, data source, and sink. For example:<pre class="screen" id="mrs_01_1589__s120bc9b314cb4573913fe11f1c044281">final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
+
+DataStream&lt;String&gt; text = [...]
+DataStream&lt;Tuple2&lt;String, Integer&gt;&gt; wordCounts = text
+    .flatMap(new LineSplitter())
+    .keyBy(0)
+    .timeWindow(Time.seconds(5))
+    .sum(1).setParallelism(5);
+
+wordCounts.print();
+
+env.execute("Word Count Example");</pre>
+</div>
+</li><li id="mrs_01_1589__l1674d5b846004c9f963bc287e7d5661f">Execution environment<p id="mrs_01_1589__a56c8fa16838c48b88c68fc44c64b5323"><a name="mrs_01_1589__l1674d5b846004c9f963bc287e7d5661f"></a><a name="l1674d5b846004c9f963bc287e7d5661f"></a>Flink runs in the execution environment which defines a default DOP for operators, data source and data sink.</p>
+<p id="mrs_01_1589__a8a64bef094734c168d47ed55d9489e07">Call the <strong id="mrs_01_1589__b186995584910346">setParallelism()</strong> method to specify the default DOP of the execution environment. Example:</p>
+<pre class="screen" id="mrs_01_1589__scfdd722aba884d4c8701a6b1c86d979a">final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
+env.setParallelism(3);
+DataStream&lt;String&gt; text = [...]
+DataStream&lt;Tuple2&lt;String, Integer&gt;&gt; wordCounts = [...]
+wordCounts.print();
+env.execute("Word Count Example");</pre>
+</li><li id="mrs_01_1589__lb6deda212d1f4a6eb43b4d52e1bd2411">Client<div class="p" id="mrs_01_1589__a81e348fa6c3f44fe81ccd5eac0841ab4"><a name="mrs_01_1589__lb6deda212d1f4a6eb43b4d52e1bd2411"></a><a name="lb6deda212d1f4a6eb43b4d52e1bd2411"></a>Specify the DOP when submitting jobs to Flink on the client. If you use the CLI client, specify the DOP using the <strong id="mrs_01_1589__b18173877410346">-p</strong> parameter. Example:<pre class="screen" id="mrs_01_1589__s6c05c5528e884678928761ea99506ff2">./bin/flink run -p 10 ../examples/*WordCount-java*.jar</pre>
+</div>
+</li><li id="mrs_01_1589__l49568d1a77ab470ca44e72fb8ee48165">System<p id="mrs_01_1589__a420da1b80baa436abf044ea6acf35496"><a name="mrs_01_1589__l49568d1a77ab470ca44e72fb8ee48165"></a><a name="l49568d1a77ab470ca44e72fb8ee48165"></a>On the Flink client, modify the <span class="parmname" id="mrs_01_1589__p3df71d3f8ec8464d899efc4a0adaec02"><b>parallelism.default</b></span> parameter in the <span class="filepath" id="mrs_01_1589__fa6cae941d14e416eb70369b9f8176e4f"><b>flink-conf.yaml</b></span> file under the conf to specify the DOP for all execution environments.</p>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1587.html">Optimization DataStream</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1590.html b/docs/mrs/component-operation-guide/mrs_01_1590.html
new file mode 100644
index 000000000..bce9e0f45
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1590.html
@@ -0,0 +1,23 @@
+<a name="mrs_01_1590"></a><a name="mrs_01_1590"></a>
+
+<h1 class="topictitle1">Configuring Process Parameters</h1>
+<div id="body1596442815781"><div class="section" id="mrs_01_1590__sacb66973a7e54492b0514dde92fffe4d"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1590__a71353ef3fa2d451da83856be7592202c">In Flink on Yarn mode, there are JobManagers and TaskManagers. JobManagers and TaskManagers schedule and run tasks.</p>
+<p id="mrs_01_1590__afa6c4cefe2e54084ae02e66caaa7c86a">Therefore, configuring parameters of JobManagers and TaskManagers can optimize the execution performance of a Flink application. Perform the following steps to optimize the Flink cluster performance.</p>
+</div>
+<div class="section" id="mrs_01_1590__sbeef4ba7acae43d3b1dadff6928dc9a8"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1590__o474bf189d16f45c596f753886bc52759"><li id="mrs_01_1590__l80c0060c7801462b88a0b8d764ee2e3e"><span>Configure JobManager memory.</span><p><p id="mrs_01_1590__a246c38768dd04abf96bfc53f75bfa335">JobManagers are responsible for task scheduling and message communications between TaskManagers and ResourceManagers. JobManager memory needs to be increased as the number of tasks and the DOP increases.</p>
+<p id="mrs_01_1590__aba4592187cd0428d9dda744495662c5a">JobManager memory needs to be configured based on the number of tasks.</p>
+<ul id="mrs_01_1590__u47ef4ed206224ab3ac33c60efe2a83b1"><li id="mrs_01_1590__l6120c34682cb4a848d63f2b44dfbe656">When running the <strong id="mrs_01_1590__b62198855783846">yarn-session</strong> command, add the <strong id="mrs_01_1590__b74885188983846">-jm MEM</strong> parameter to configure the memory.</li><li id="mrs_01_1590__l1d479339d3804db9bc11791e625f6a33">When running the <strong id="mrs_01_1590__b10740192383846">yarn-cluster</strong> command, add the <strong id="mrs_01_1590__b130783855183846">-yjm MEM</strong> parameter to configure the memory.</li></ul>
+</p></li><li id="mrs_01_1590__l09258a595e2e4cf6b4a6a574a89c4d77"><span>Configure the number of TaskManagers.</span><p><p id="mrs_01_1590__a1e4d5b3402fb469a88f3f59beefab7b0">Each core of a TaskManager can run a task at the same time. Increasing the number of TaskManagers has the same effect as increasing the DOP. Therefore, you can increase the number of TaskManagers to improve efficiency when there are sufficient resources.</p>
+</p></li><li id="mrs_01_1590__l5e7895768fb94fc59468cc5f1a53b1f4"><span>Configure the number of TaskManager slots.</span><p><p id="mrs_01_1590__a946a8d8df42f4544bc3ccfc203b06750">Multiple cores of a TaskManager can process multiple tasks at the same time. This has the same effect as increasing the DOP. However, the balance between the number of cores and the memory must be maintained, because all cores of a TaskManager share the memory.</p>
+<ul id="mrs_01_1590__u88c819da6f3745e8bbfccb9415f7ac34"><li id="mrs_01_1590__l4ca087abf6ea4231b74825f07dfab9e0">When running the <strong id="mrs_01_1590__b82025366583846">yarn-session</strong> command, add the <strong id="mrs_01_1590__b93673866883846">-s NUM</strong> parameter to configure the number of slots.</li><li id="mrs_01_1590__l4993f5fb8a694963bb765d30e1df71b7">When running the <strong id="mrs_01_1590__b112329050383846">yarn-cluster</strong> command, add the <strong id="mrs_01_1590__b200269059383846">-ys NUM</strong> parameter to configure the number of slots.</li></ul>
+</p></li><li id="mrs_01_1590__laf9cb94e14c94dd6be7603c7452351c9"><span>Configure TaskManager memory.</span><p><p id="mrs_01_1590__a2e5f10f014a54ef7818cb34bc91f0df6">TaskManager memory is used for task execution and communication. A large-size task requires more resources. In this case, you can increase the memory.</p>
+<ul id="mrs_01_1590__ud08fea63bedb45a099a61f830810ea7a"><li id="mrs_01_1590__l8d19aa8054174d04b26f4eab6317e483">When running the <strong id="mrs_01_1590__b172911244153215">yarn-session</strong> command, add the <strong id="mrs_01_1590__b2291184410324">-tm MEM</strong> parameter to configure the memory.</li><li id="mrs_01_1590__leb2c8b2ad50240f882c1840631ff0737">When running the <strong id="mrs_01_1590__b52485844183846">yarn-cluster</strong> command, add the <strong id="mrs_01_1590__b58198574283846">-ytm MEM</strong> parameter to configure the memory.</li></ul>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1587.html">Optimization DataStream</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1591.html b/docs/mrs/component-operation-guide/mrs_01_1591.html
new file mode 100644
index 000000000..9bac6ed62
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1591.html
@@ -0,0 +1,39 @@
+<a name="mrs_01_1591"></a><a name="mrs_01_1591"></a>
+
+<h1 class="topictitle1">Optimizing the Design of Partitioning Method</h1>
+<div id="body1596442815782"><div class="section" id="mrs_01_1591__s3fc76c7e38f24dc8a6f1187df24d8c15"><h4 class="sectiontitle">Scenarios</h4><p id="mrs_01_1591__aca5f346a8b194b3c8c0a59acee07806a">The divide of tasks can be optimized by optimizing the partitioning method. If data skew occurs in a certain task, the whole execution process is delayed. Therefore, when designing the partitioning method, ensure that partitions are evenly assigned.</p>
+</div>
+<div class="section" id="mrs_01_1591__s641e2162ad01406c9909bf2f938bdfb2"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1591__a60d4e9ddf0f246db9aa5fa129bc8a737">Partitioning methods are as follows:</p>
+<ul id="mrs_01_1591__u019c3c8e35a34da08902d748f17b7b02"><li id="mrs_01_1591__lfacfbda93a2d4e0fa3f631b254cfa91f"><strong id="mrs_01_1591__aab28394726384ba69ab7384bad54f49c">Random partitioning</strong>: randomly partitions data.<pre class="screen" id="mrs_01_1591__sbaaf765a0cf647aea4eb2bc51531dd44">dataStream.shuffle();</pre>
+</li><li id="mrs_01_1591__l823c85a6ada04afa9e2135ebec0a7395"><strong id="mrs_01_1591__a758a97f6f70d4cf8bc181f9ba02fb2ce">Rebalancing (round-robin partitioning)</strong>: evenly partitions data based on round-robin. The partitioning method is useful to optimize data with data skew.<pre class="screen" id="mrs_01_1591__s0cde5d7dcc734c929bb74e3e1082593d">dataStream.rebalance();</pre>
+</li><li id="mrs_01_1591__ld890b682c32b4e55a20f5c60af669f5a"><strong id="mrs_01_1591__a46c1bb96df1a4e049bb960826d1780d0">Rescaling</strong>: assign data to downstream subsets in the form of round-robin. The partitioning method is useful if you want to deliver data from each parallel instance of a data source to subsets of some mappers without the using rebalance (), that is, the complete rebalance operation.<pre class="screen" id="mrs_01_1591__s20e8f35c72de443da2aa5fdd2f24633d">dataStream.rescale();</pre>
+</li><li id="mrs_01_1591__lbcd4cc4fd7f64e95bb7d33a8ad02996a"><strong id="mrs_01_1591__aad84e5b6b766428ca65fb2dbc6729cde">Broadcast</strong>: broadcast data to all partitions.<pre class="screen" id="mrs_01_1591__s34bf19e5ec76481dae8e4e18e104db2b">dataStream.broadcast();</pre>
+</li><li id="mrs_01_1591__la3b4fbeebc13451cafc40408f6d0fc92"><strong id="mrs_01_1591__a65496f76c2a24067ac799a7ce1dd910f">User-defined partitioning</strong>: use a user-defined partitioner to select a target task for each element. The user-defined partitioning allows user to partition data based on a certain feature to achieve optimized task execution.<p id="mrs_01_1591__a60b26702bc974869b4be041d54e269c5">The following is an example:</p>
+<pre class="screen" id="mrs_01_1591__s6568a126aeee4da2b2398643b799cbb4">// fromElements builds simple Tuple2 stream 
+DataStream&lt;Tuple2&lt;String, Integer&gt;&gt; dataStream = env.fromElements(Tuple2.of("hello",1), Tuple2.of("test",2), Tuple2.of("world",100)); 
+     
+// Defines the key value used for partitioning. Adding one to the value equals to the id. 
+Partitioner&lt;Tuple2&lt;String, Integer&gt;&gt; strPartitioner = new Partitioner&lt;Tuple2&lt;String, Integer&gt;&gt;() { 
+    @Override 
+    public int partition(Tuple2&lt;String, Integer&gt; key, int numPartitions) { 
+        return (key.f0.length() + key.f1) % numPartitions; 
+    } 
+}; 
+ 
+// The Tuple2 data is used as the basis for partitioning.
+
+dataStream.partitionCustom(strPartitioner, new KeySelector&lt;Tuple2&lt;String, Integer&gt;, Tuple2&lt;String, Integer&gt;&gt;() { 
+    @Override 
+    public Tuple2&lt;String, Integer&gt; getKey(Tuple2&lt;String, Integer&gt; value) throws Exception { 
+        return value; 
+    } 
+}).print();</pre>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1587.html">Optimization DataStream</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1592.html b/docs/mrs/component-operation-guide/mrs_01_1592.html
new file mode 100644
index 000000000..20a794cf1
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1592.html
@@ -0,0 +1,15 @@
+<a name="mrs_01_1592"></a><a name="mrs_01_1592"></a>
+
+<h1 class="topictitle1">Configuring the Netty Network Communication</h1>
+<div id="body1596442815784"><div class="section" id="mrs_01_1592__sdd68dd6f0485461b885426375de1da52"><h4 class="sectiontitle">Scenarios</h4><p id="mrs_01_1592__a61b2a1d07f49465c86427d1dd0e02e0a">The communication of Flink is based on Netty network. The network performance determines the data switching speed and task execution efficiency. Therefore, the performance of Flink can be optimized by optimizing the Netty network.</p>
+</div>
+<div class="section" id="mrs_01_1592__s011edd0836e44e4fbc51545248401785"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1592__a969bc8abc631442db450b7ca33c38e5c">In the <span class="parmname" id="mrs_01_1592__pf97e568aa05c4999b8ec9d7833fb9a87"><b>conf/flink-conf.yaml</b></span> file on the client, change configurations as required. Exercise caution when changing default values, because default values are optimal.</p>
+<ul id="mrs_01_1592__u61393c325c0b442bb2eef5b6425acc4b"><li id="mrs_01_1592__lbcfdcaa1a28c4633b4ab8a74256a117c"><span class="parmname" id="mrs_01_1592__pb38c50018da245a3b3f8b47c02379bc9"><b>taskmanager.network.netty.num-arenas</b></span>: Specifies the number of arenas of Netty. The default value is <span class="parmvalue" id="mrs_01_1592__p1f81fd9308194fea9233802425b89ed2"><b>taskmanager.numberOfTaskSlots</b></span>.</li><li id="mrs_01_1592__l506535eaf011446f8e9098d415c74e1d"><span class="parmname" id="mrs_01_1592__p1ecfaff8ca414d86b60fc55e098b9276"><b>taskmanager.network.netty.server.numThreads</b></span> and <span class="parmname" id="mrs_01_1592__p26f77c72d81646d389909a2f2c66bc9b"><b>taskmanager.network.netty.client.numThreads</b></span>: specify the number of threads on the client and server. The default value is <span class="parmvalue" id="mrs_01_1592__pf74f446c28cf4a9d93513bc4da1888d0"><b>taskmanager.numberOfTaskSlots</b></span>.</li><li id="mrs_01_1592__l7143922c3f524381b55ebd311dd0d03e"><span class="parmname" id="mrs_01_1592__p3fce5d3c1f4544f5aa0e25310f7b4961"><b>taskmanager.network.netty.client.connectTimeoutSec</b></span>: specifies the timeout interval for connection of TaskManager client. The default value is <strong id="mrs_01_1592__a5352895e33ce4194a4f4cd95da4186da">120s</strong>.</li><li id="mrs_01_1592__la523ef9e14654d5c904b5df7e2d39136"><span class="parmname" id="mrs_01_1592__p021001e0038943b48b1ed2001e7285bf"><b>taskmanager.network.netty.sendReceiveBufferSize</b></span>: specifies the buffer size of the Netty network. The default value is the buffer size (cat /proc/sys/net/ipv4/tcp_[rw]mem) of the system and the value is usually 4 MB.</li><li id="mrs_01_1592__l987e165960104cfcb45cdb941a83f590"><span class="parmname" id="mrs_01_1592__p6d56d8c67a264d9daa0b7c0ee0b751e0"><b>taskmanager.network.netty.transport</b></span>: specifies the transmission method of the Netty network. The default value is <span class="parmvalue" id="mrs_01_1592__pcb316a2106244fe98a4bcecacef3e882"><b>nio</b></span>. The value can only be <span class="parmvalue" id="mrs_01_1592__p58b09ec234d643bead10d2368c8030f6"><b>nio</b></span> and <span class="parmvalue" id="mrs_01_1592__p7ff5a7f38a3e44429e5de82e1d981629"><b>epoll</b></span>.</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1587.html">Optimization DataStream</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1593.html b/docs/mrs/component-operation-guide/mrs_01_1593.html
new file mode 100644
index 000000000..55b3e17f6
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+++ b/docs/mrs/component-operation-guide/mrs_01_1593.html
@@ -0,0 +1,19 @@
+<a name="mrs_01_1593"></a><a name="mrs_01_1593"></a>
+
+<h1 class="topictitle1">Experience Summary</h1>
+<div id="body1596442815785"><div class="section" id="mrs_01_1593__s19ecc6ccab7343ef9b6eb739c889ea75"><h4 class="sectiontitle">Avoiding Data Skew</h4><p id="mrs_01_1593__a123fcd577108445ca3d3e71b24495ea2">If data skew occurs (certain data volume is extremely large), the execution time of tasks is inconsistent even though no GC is performed.</p>
+<ul id="mrs_01_1593__u9442100e9d674dd29edc4004b8ee5645"><li id="mrs_01_1593__lee7b72298acd41f5984d63597d11cf65">Redefine keys. Use keys of smaller granularity to optimize the task size.</li><li id="mrs_01_1593__l4a2fd8e60cc64356b55b753b0248f881">Modify the DOP.</li><li id="mrs_01_1593__l4211f9fd107048b088dee1dc46ff2d70">Call the rebalance operation to balance data partitions.</li></ul>
+</div>
+<div class="section" id="mrs_01_1593__s4e06e1d83084415c8fb9fc4e41b67c6a"><h4 class="sectiontitle">Setting Timeout Interval for the Buffer</h4><ul id="mrs_01_1593__ud2aa6819a1b74c93a4875387d84b8c63"><li id="mrs_01_1593__l42c0e46a7f1544229973c2820786ad78">During the execution of tasks, data is exchanged through network. You can set the <strong id="mrs_01_1593__b20103203822011">setBufferTimeout</strong> parameter to specify a buffer timeout interval for data exchanging among different servers.</li><li id="mrs_01_1593__l5edb8842efaa40ef81e15dcf121395f6">If <strong id="mrs_01_1593__b199585383441840">setBufferTimeout</strong> is set to <strong id="mrs_01_1593__b154615168741840">-1</strong>, the refreshing operation is performed when the buffer is full to maximize the throughput. If <strong id="mrs_01_1593__b69240166141840">setBufferTimeout</strong> is set to <strong id="mrs_01_1593__b177358734141840">0</strong>, the refreshing operation is performed each time data is received to minimize the delay. If <strong id="mrs_01_1593__b75528209741840">setBufferTimeout</strong> is set to a value greater than <strong id="mrs_01_1593__b83964167341840">0</strong>, the refreshing operation is performed after the buffer times out.<div class="p" id="mrs_01_1593__a9c6b7419dbbd46f5b904cb3afdbbb695">The following is an example:<pre class="screen" id="mrs_01_1593__s51fd0eecfd4d4f0a962be7d2d439f878">env.setBufferTimeout(timeoutMillis);
+
+env.generateSequence(1,10).map(new MyMapper()).setBufferTimeout(timeoutMillis);</pre>
+</div>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1587.html">Optimization DataStream</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1594.html b/docs/mrs/component-operation-guide/mrs_01_1594.html
new file mode 100644
index 000000000..911409a99
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@@ -0,0 +1,48 @@
+<a name="mrs_01_1594"></a><a name="mrs_01_1594"></a>
+
+<h1 class="topictitle1">Installing the Flume Client on Clusters of Versions Earlier Than MRS 3.x</h1>
+<div id="body1595928090852"><div class="section" id="mrs_01_1594__s9d464cc917ca45b1ba39e9a7c0df6006"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1594__a8920e65594ce47e0bc00261e734e1588">To use Flume to collect logs, you must install the Flume client on a log host. You can create an ECS and install the Flume client on it.</p>
+<p id="mrs_01_1594__p2452133604410">This section applies to MRS 3.<em id="mrs_01_1594__i08862175314">x</em> or earlier clusters.</p>
+</div>
+<div class="section" id="mrs_01_1594__s9821fff1057643ba92d438ba705d54f8"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1594__ueab0ff8756a74ee6952ee4539ef5b0cb"><li id="mrs_01_1594__l3e939d5c4a87445b804b469675d40176">A streaming cluster with the Flume component has been created.</li><li id="mrs_01_1594__l93fbddeb02074d298088ee23ae81b740">The log host is in the same VPC and subnet with the MRS cluster. </li><li id="mrs_01_1594__le8b04f7354e443e4ad419f2200d32c2c">You have obtained the username and password for logging in to the log host.</li></ul>
+</div>
+<div class="section" id="mrs_01_1594__section187301421162510"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1594__ol115134551648"><li id="mrs_01_1594__li10514555842"><span>Create an ECS that meets the requirements.</span></li><li id="mrs_01_1594__li13806122116487"><span>Go to the cluster details page.</span><p><ul id="mrs_01_1594__ul1692910323486"><li id="mrs_01_1594__li792916322486">For versions earlier than MRS 1.9.2, log in to MRS Manager and choose <strong id="mrs_01_1594__b8522125134718">Services</strong>.</li><li id="mrs_01_1594__li979413816488">For MRS 1.9.2 or later, click the cluster name on the MRS console and choose <strong id="mrs_01_1594__b1287620461472">Components</strong>.</li></ul>
+</p></li><li id="mrs_01_1594__li1514145518420"><a name="mrs_01_1594__li1514145518420"></a><a name="li1514145518420"></a><span>Click <strong id="mrs_01_1594__b32347135832421">Download Client</strong>.</span><p><ol type="a" id="mrs_01_1594__ol1551465512415"><li id="mrs_01_1594__li105141355844">In <span class="parmname" id="mrs_01_1594__parmname1051419551849"><b>Client Type</b></span>, select <span class="parmvalue" id="mrs_01_1594__parmvalue351414555415"><b>All client files</b></span>.</li><li id="mrs_01_1594__li135147558412">In <span class="parmname" id="mrs_01_1594__parmname1515145512418"><b>Download to</b></span>, select <span class="parmvalue" id="mrs_01_1594__parmvalue95151755949"><b>Remote host</b></span>.</li><li id="mrs_01_1594__li151520551643">Set <span class="parmname" id="mrs_01_1594__parmname62379481232421"><b>Host IP Address</b></span> to the IP address of the ECS, <span class="parmname" id="mrs_01_1594__parmname113775124532421"><b>Host Port</b></span> to <span class="parmvalue" id="mrs_01_1594__parmvalue143895318232421"><b>22</b></span>, and <span class="parmname" id="mrs_01_1594__parmname173796778332421"><b>Save Path</b></span> to <span class="parmvalue" id="mrs_01_1594__parmvalue1151512554416"><b>/home/linux</b></span>.<ul id="mrs_01_1594__ul151510551643"><li id="mrs_01_1594__li65151355549">If the default port <span class="parmvalue" id="mrs_01_1594__parmvalue651514551942"><b>22</b></span> for logging in to an ECS through SSH has been changed, set <span class="parmname" id="mrs_01_1594__parmname1515145515410"><b>Host Port</b></span> to a new port.</li><li id="mrs_01_1594__li95158551449">The value of <span class="parmname" id="mrs_01_1594__parmname19515555846"><b>Save Path</b></span> contains a maximum of 256 characters.</li></ul>
+</li><li id="mrs_01_1594__li10919401436">Set <span class="parmname" id="mrs_01_1594__parmname1397017715431"><b>Login User</b></span> to <span class="parmname" id="mrs_01_1594__parmname2976076438"><b>root</b></span>.<p id="mrs_01_1594__p195164551749">If another user is used, ensure that the user has permissions to read, write, and execute the save path.</p>
+</li><li id="mrs_01_1594__li105162551245">In <span class="parmname" id="mrs_01_1594__parmname8516205516415"><b>SSH Private Key</b></span>, select and upload the key file used for creating the cluster.</li><li id="mrs_01_1594__li751695510416">Click <span class="uicontrol" id="mrs_01_1594__uicontrol125161955846"><b>OK</b></span> to generate a client file.<p id="mrs_01_1594__p11516355949">If the following information is displayed, the client package is saved.</p>
+<pre class="codeblock" id="mrs_01_1594__codeblock16516175515418">Client files downloaded to the remote host successfully.</pre>
+<p id="mrs_01_1594__p105168559417">If the following information is displayed, check the username, password, and security group configurations of the remote host. Ensure that the username and password are correct and an inbound rule of the SSH (22) port has been added to the security group of the remote host. And then, go to <a href="#mrs_01_1594__li1514145518420">3</a> to download the client again.</p>
+<pre class="codeblock" id="mrs_01_1594__codeblock135171655741">Failed to connect to the server. Please check the network connection or parameter settings.</pre>
+</li></ol>
+</p></li><li id="mrs_01_1594__li15172550416"><span>Choose <strong id="mrs_01_1594__b105234431032421">Flume</strong> &gt; <span class="uicontrol" id="mrs_01_1594__uicontrol67038408432421"><b>Instance</b></span>. Query the <span class="parmname" id="mrs_01_1594__parmname37437590632421"><b>Business IP Address</b></span> of any Flume instance and any two MonitorServer instances.</span></li><li id="mrs_01_1594__li1351711554415"><span>Log in to the ECS using VNC. See section "Login Using VNC" in the <i><cite id="mrs_01_1594__cite28844811230">Elastic Cloud Service User Guide</cite></i> (<span class="menucascade" id="mrs_01_1594__menucascade2886480234"><b><span class="uicontrol" id="mrs_01_1594__uicontrol88813481231">Instances</span></b> &gt; <b><span class="uicontrol" id="mrs_01_1594__uicontrol588144816239">Logging In to a Linux ECS</span></b> &gt; <b><span class="uicontrol" id="mrs_01_1594__uicontrol2088148192318">Login Using VNC</span></b></span>.</span><p><p id="mrs_01_1594__p740012148291"></p>
+<p id="mrs_01_1594__p924516130597">Log in to the ECS using an SSH key by referring to <a href="https://docs.otc.t-systems.com/usermanual/ecs/en-us_topic_0017955380.html" target="_blank" rel="noopener noreferrer">Login Using an SSH Key</a> and set the password. Then log in to the ECS using VNC.</p>
+</p></li><li id="mrs_01_1594__li1251714553418"><span>On the ECS, switch to user <strong id="mrs_01_1594__b20517145513416">root</strong> and copy the installation package to the <span class="filepath" id="mrs_01_1594__filepath135171155640"><b>/opt</b></span> directory.</span><p><p id="mrs_01_1594__p651720551441"><strong id="mrs_01_1594__b14517115518410">sudo su - root</strong></p>
+<p id="mrs_01_1594__p12517655947"><strong id="mrs_01_1594__b651715557418">cp /home/linux/MRS_Flume_Client.tar /opt</strong></p>
+</p></li><li id="mrs_01_1594__li351875515419"><span>Run the following command in the <span class="filepath" id="mrs_01_1594__filepath1151835512419"><b>/opt</b></span> directory to decompress the package and obtain the verification file and the configuration package of the client:</span><p><p id="mrs_01_1594__p18518755644"><strong id="mrs_01_1594__b1451835519420">tar -xvf MRS_Flume_Client.tar</strong></p>
+</p></li><li id="mrs_01_1594__li65187551646"><span>Run the following command to verify the configuration package of the client:</span><p><p id="mrs_01_1594__p1051820553413"><strong id="mrs_01_1594__b16518655941">sha256sum -c MRS_Flume_ClientConfig.tar.sha256</strong></p>
+<p id="mrs_01_1594__p1552312551248">If the following information is displayed, the file package is successfully verified:</p>
+<pre class="screen" id="mrs_01_1594__screen1552310551048">MRS_Flume_ClientConfig.tar: OK</pre>
+</p></li><li id="mrs_01_1594__li852412551749"><span>Run the following command to decompress <span class="filepath" id="mrs_01_1594__filepath95241355345"><b>MRS_Flume_ClientConfig.tar</b></span>:</span><p><p id="mrs_01_1594__p1552435515418"><strong id="mrs_01_1594__b175249552412">tar -xvf MRS_Flume_ClientConfig.tar</strong></p>
+</p></li><li id="mrs_01_1594__li2052475511412"><span>Run the following command to install the client running environment to a new directory, for example, <span class="filepath" id="mrs_01_1594__filepath85241755549"><b>/opt/Flumeenv</b></span>. A directory is automatically generated during the client installation.</span><p><p id="mrs_01_1594__p6524105519417"><strong id="mrs_01_1594__b1152417551449">sh /opt/MRS_Flume_ClientConfig/install.sh /opt/Flumeenv</strong></p>
+<p id="mrs_01_1594__p45247551040">If the following information is displayed, the client running environment is successfully installed:</p>
+<pre class="screen" id="mrs_01_1594__screen1152485510416">Components client installation is complete.</pre>
+</p></li><li id="mrs_01_1594__li1852445510411"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_1594__p205253551843"><strong id="mrs_01_1594__b1352511556413">source /opt/Flumeenv/bigdata_env</strong></p>
+</p></li><li id="mrs_01_1594__li1152512556414"><span>Run the following commands to decompress the Flume client package:</span><p><p id="mrs_01_1594__p652511557410"><strong id="mrs_01_1594__b1052510551849">cd /opt/MRS_Flume_ClientConfig/Flume</strong></p>
+<p id="mrs_01_1594__p852515512410"><strong id="mrs_01_1594__b45251755740">tar -xvf FusionInsight-Flume-1.6.0.tar.gz</strong></p>
+</p></li><li id="mrs_01_1594__li352517557414"><span>Run the following command to check whether the password of the current user has expired:</span><p><p id="mrs_01_1594__p6525255741"><strong id="mrs_01_1594__b1652516551347">chage -l root</strong></p>
+<p id="mrs_01_1594__p125251155441">If the value of <span class="parmname" id="mrs_01_1594__parmname195251155747"><b>Password expires</b></span> is earlier than the current time, the password has expired. Run the <strong id="mrs_01_1594__b652518551419">chage -M -1 root</strong> command to validate the password.</p>
+</p></li><li id="mrs_01_1594__li45251955648"><span>Run the following command to install the Flume client to a new directory, for example, <span class="filepath" id="mrs_01_1594__filepath105251255444"><b>/opt/FlumeClient</b></span>. A directory is automatically generated during the client installation.</span><p><p id="mrs_01_1594__p75254551344"><strong id="mrs_01_1594__b88602329132421">sh /opt/MRS_Flume_ClientConfig/Flume/install.sh -d /opt/FlumeClient -f </strong><em id="mrs_01_1594__i197969126832421">service IP address of the MonitorServer instance</em><strong id="mrs_01_1594__b125646674632421"> -c </strong><em id="mrs_01_1594__i114490917832421">path of the Flume configuration file</em> <strong id="mrs_01_1594__b22809548232421">-l /var/log/ -e </strong><em id="mrs_01_1594__i9906249232421">service IP address of Flume</em> <strong id="mrs_01_1594__b184770729932421">-n </strong><em id="mrs_01_1594__i117208681632421">name of the Flume client</em></p>
+<p id="mrs_01_1594__p2052519554416">The parameters are described as follows:</p>
+<ul id="mrs_01_1594__ul155251555413"><li id="mrs_01_1594__li185251555044"><strong id="mrs_01_1594__b122062560032421">-d</strong>: indicates the installation path of the Flume client.</li><li id="mrs_01_1594__li1852575516418">(Optional) <strong id="mrs_01_1594__b14582247232421">-f</strong>: indicates the service IP addresses of the two MonitorServer instances, separated by a comma (,). If the IP addresses are not configured, the Flume client will not send alarm information to MonitorServer, and the client information will not be displayed on MRS Manager.</li><li id="mrs_01_1594__li752513557410">(Optional) <strong id="mrs_01_1594__b31040219832421">-c</strong>: indicates the <span class="filepath" id="mrs_01_1594__filepath213569782132421"><b>properties.properties</b></span> configuration file that the Flume client loads after installation. If this parameter is not specified, the <strong id="mrs_01_1594__b166402707832421">fusioninsight-flume-1.6.0/conf/properties.properties</strong> file in the client installation directory is used by default. The configuration file of the client is empty. You can modify the configuration file as required and the Flume client will load it automatically.</li><li id="mrs_01_1594__li85261755142">(Optional) <strong id="mrs_01_1594__b175239580232421">-l</strong>: indicates the log directory. The default value is <strong id="mrs_01_1594__b121434924132421">/var/log/Bigdata</strong>.</li><li id="mrs_01_1594__li1952645519418">(Optional) <strong id="mrs_01_1594__b28765688232421">-e</strong>: indicates the service IP address of the Flume instance. It is used to receive the monitoring indicators reported by the client.</li><li id="mrs_01_1594__li17526115511414">(Optional) <strong id="mrs_01_1594__b116784329432421">-n</strong>: indicates the name of the Flume client.</li><li id="mrs_01_1594__li352615512420">IBM JDK does not support <strong id="mrs_01_1594__b210377460032421">-Xloggc</strong>. You must change <strong id="mrs_01_1594__b89957522532421">-Xloggc</strong> to <strong id="mrs_01_1594__b39561375332421">-Xverbosegclog</strong> in <strong id="mrs_01_1594__b149120023632421">flume/conf/flume-env.sh</strong>. For 32-bit JDK, the value of <strong id="mrs_01_1594__b22214430932421">-Xmx</strong> must not exceed 3.25 GB.</li><li id="mrs_01_1594__li125265557417">In <strong id="mrs_01_1594__b155041231532421">flume/conf/flume-env.sh</strong>, the default value of <strong id="mrs_01_1594__b111699425032421">-Xmx</strong> is 4 GB. If the client memory is too small, you can change it to 512 MB or even 1 GB.</li></ul>
+<p id="mrs_01_1594__p1652620554419">For example, run <strong id="mrs_01_1594__b11526115512413">sh install.sh -d /opt/FlumeClient</strong>.</p>
+<p id="mrs_01_1594__p95261455241">If the following information is displayed, the client is successfully installed:</p>
+<pre class="screen" id="mrs_01_1594__screen552612551415">install flume client successfully.</pre>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0392.html">Installing the Flume Client</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1595.html b/docs/mrs/component-operation-guide/mrs_01_1595.html
new file mode 100644
index 000000000..2f5abb0a1
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1595.html
@@ -0,0 +1,34 @@
+<a name="mrs_01_1595"></a><a name="mrs_01_1595"></a>
+
+<h1 class="topictitle1">Installing the Flume Client on MRS 3.<em id="i8832175823">x</em> or Later Clusters</h1>
+<div id="body1595928090852"><div class="section" id="mrs_01_1595__s9d464cc917ca45b1ba39e9a7c0df6006"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1595__a8920e65594ce47e0bc00261e734e1588">To use Flume to collect logs, you must install the Flume client on a log host. You can create an ECS and install the Flume client on it.</p>
+<p id="mrs_01_1595__p17538347457">This section applies to MRS 3.<em id="mrs_01_1595__i1622794805419">x</em> or later clusters.</p>
+</div>
+<div class="section" id="mrs_01_1595__s9821fff1057643ba92d438ba705d54f8"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1595__ueab0ff8756a74ee6952ee4539ef5b0cb"><li id="mrs_01_1595__l3e939d5c4a87445b804b469675d40176">A cluster with the Flume component has been created.</li><li id="mrs_01_1595__l93fbddeb02074d298088ee23ae81b740">The log host is in the same VPC and subnet with the MRS cluster. </li><li id="mrs_01_1595__le8b04f7354e443e4ad419f2200d32c2c">You have obtained the username and password for logging in to the log host.</li><li id="mrs_01_1595__li5663191314712">The installation directory is automatically created if it does not exist. If it exists, the directory must be left blank. The directory path cannot contain any space.</li></ul>
+</div>
+<div class="section" id="mrs_01_1595__section10490173015268"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1595__ol666191516138"><li id="mrs_01_1595__li466112151131"><span>Obtain the software package.</span><p><p id="mrs_01_1595__p666219155133">Log in to the FusionInsight Manager. Choose <strong id="mrs_01_1595__b104509629111119">Cluster</strong> &gt; <em id="mrs_01_1595__i621488129111119">Name of the target cluster</em> &gt; <strong id="mrs_01_1595__b1485844175111119">Services</strong> &gt; <strong id="mrs_01_1595__b851409744111119">Flume</strong>. On the Flume service page that is displayed, choose <strong id="mrs_01_1595__b1641257698111119">More</strong> &gt; <strong id="mrs_01_1595__b501542393111119">Download Client</strong> in the upper right corner and set <strong id="mrs_01_1595__b1146834652111119">Select Client Type</strong> to <strong id="mrs_01_1595__b234342652111119">Complete Client</strong> to download the Flume service client file.</p>
+<p id="mrs_01_1595__p126626159132">The file name of the client is <strong id="mrs_01_1595__b1404760506111119">FusionInsight_Cluster_</strong>&lt;<em id="mrs_01_1595__i1869306045111119">Cluster ID</em>&gt;<strong id="mrs_01_1595__b1686161234111119">_Flume_Client.tar</strong>. This section takes the client file <strong id="mrs_01_1595__b978383744111119">FusionInsight_Cluster_1_Flume_Client.tar</strong> as an example.</p>
+</p></li><li id="mrs_01_1595__li206621015161317"><span>Upload the software package.</span><p><p id="mrs_01_1595__p15662115141313">Upload the software package to a directory, for example, <strong id="mrs_01_1595__b1545768959111119">/opt/client</strong> on the node where the Flume service client will be installed as user <strong id="mrs_01_1595__b1259465851111119">user</strong>.</p>
+<div class="note" id="mrs_01_1595__note36621215171312"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1595__p9662815131317"><strong id="mrs_01_1595__b590332518111119">user</strong> is the user who installs and runs the Flume client.</p>
+</div></div>
+</p></li><li id="mrs_01_1595__li136626152134"><span>Decompress the software package.</span><p><p id="mrs_01_1595__p1766212151134">Log in to the node where the Flume service client is to be installed as user <strong id="mrs_01_1595__b66622015161318">user</strong>. Go to the directory where the installation package is installed, for example, <strong id="mrs_01_1595__b450283755111119">/opt/client</strong>, and run the following command to decompress the installation package to the current directory:</p>
+<p class="litext" id="mrs_01_1595__p136621115141313"><strong id="mrs_01_1595__b166621415181316">cd /opt</strong><strong id="mrs_01_1595__b146624152134">/client</strong></p>
+<p class="litext" id="mrs_01_1595__p156624151138"><strong id="mrs_01_1595__b15662131561314">tar -xvf FusionInsight</strong><strong id="mrs_01_1595__b186621115131317">_Cluster_1_Flume_Client.tar</strong></p>
+</p></li><li id="mrs_01_1595__li206621615101311"><span>Verify the software package.</span><p><p id="mrs_01_1595__p14663191561315">Run the <strong id="mrs_01_1595__b1015103853111119">sha256sum -c</strong> command to verify the decompressed file. If <strong id="mrs_01_1595__b1699116438111119">OK</strong> is returned, the verification is successful. Example:</p>
+<p class="litext" id="mrs_01_1595__p19663181514137"><strong id="mrs_01_1595__b166636158133">sha256sum -c FusionInsight</strong><strong id="mrs_01_1595__b17663015131318">_Cluster_1_Flume_ClientConfig.tar.sha256</strong></p>
+<pre class="screen" id="mrs_01_1595__screen966361511315">FusionInsight_Cluster_1_Flume_ClientConfig.tar: OK</pre>
+</p></li><li id="mrs_01_1595__li10663171511320"><span>Decompress the package.</span><p><p class="litext" id="mrs_01_1595__p146636158134"><strong id="mrs_01_1595__b266319157134">tar -xvf FusionInsight</strong><strong id="mrs_01_1595__b126637153135">_Cluster_1_Flume_ClientConfig.tar</strong></p>
+</p></li><li id="mrs_01_1595__li66632015131310"><span>Run the following command in the Flume client installation directory to install the client to a specified directory (for example, <strong id="mrs_01_1595__b2073392238111119">opt/FlumeClient</strong>): After the client is installed successfully, the installation is complete.</span><p><p id="mrs_01_1595__p7663171511132"><strong id="mrs_01_1595__b7663151516134">cd /opt/client/FusionInsight</strong><strong id="mrs_01_1595__b1266321514133">_Cluster_1_Flume_ClientConfig/Flume/FlumeClient</strong></p>
+<p id="mrs_01_1595__p19663141541320"><strong id="mrs_01_1595__b136636154131">./install.sh -d <em id="mrs_01_1595__i15663121571313">/</em></strong><em id="mrs_01_1595__i206631415141311">opt/FlumeClient</em> <strong id="mrs_01_1595__b4663415151312">-f </strong><em id="mrs_01_1595__i16663111510135">MonitorServer</em><em id="mrs_01_1595__i2663191561310">Service IP address or host name of the role</em><strong id="mrs_01_1595__b156008421457"> -c </strong><em id="mrs_01_1595__i156101421156">User service configuration file</em><em id="mrs_01_1595__i26703361455">Path for storing properties.properties</em><strong id="mrs_01_1595__b74649311153"> -s </strong><em id="mrs_01_1595__i566431514132">CPU threshold</em><strong id="mrs_01_1595__b12664215171316"> -l /var/log/Bigdata -e </strong><em id="mrs_01_1595__i116641015171315">FlumeServer service IP address or host name</em><strong id="mrs_01_1595__b146641215181310"><em id="mrs_01_1595__i14664191511134"> </em></strong><strong id="mrs_01_1595__b566471519131">-n </strong><em id="mrs_01_1595__i1166416156138">Flume</em></p>
+<div class="note" id="mrs_01_1595__note866416151139"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1595__ul15666201518139"><li id="mrs_01_1595__li10666915191314"><strong id="mrs_01_1595__b760013263111119">-d</strong>: Flume client installation path</li><li id="mrs_01_1595__li16666191514132">(Optional) <strong id="mrs_01_1595__b1745647545111119">-f</strong>: IP addresses or host names of two MonitorServer roles. The IP addresses or host names are separated by commas (,). If this parameter is not configured, the Flume client does not send alarm information to MonitorServer and information about the client cannot be viewed on the FusionInsight Manager GUI.</li><li id="mrs_01_1595__li126661115191318">(Optional) <strong id="mrs_01_1595__b92681550194212">-c</strong>: Service configuration file, which needs to be generated by the user based on the service. For details about how to generate the file on the configuration tool page of the Flume server, see <a href="mrs_01_1057.html">Flume Service Configuration Guide</a>. Upload the file to any directory on the node where the client is to be installed. If this parameter is not specified during the installation, you can upload the generated service configuration file <strong id="mrs_01_1595__b1328418455458">properties.properties</strong> to the <strong id="mrs_01_1595__b14755529459">/opt/FlumeClient/fusioninsight-flume-1.9.0/conf</strong> directory after the installation.</li><li id="mrs_01_1595__li7666615121320">(Optional) <strong id="mrs_01_1595__b157296434111119">-s</strong>: cgroup threshold. The value is an integer ranging from 1 to 100 x <em id="mrs_01_1595__i193212714231">N</em>. <em id="mrs_01_1595__i20338123017239">N</em> indicates the number of CPU cores. The default threshold is <strong id="mrs_01_1595__b1558059060111119">-1</strong>, indicating that the processes added to the cgroup are not restricted by the CPU usage.</li><li id="mrs_01_1595__li16666315181315">(Optional) <strong id="mrs_01_1595__b1348110231111119">-l</strong>: Log path. The default value is <strong id="mrs_01_1595__b1553457997111119">/var/log/Bigdata</strong>. The user <strong id="mrs_01_1595__b588455686111119">user</strong> must have the write permission on the directory. When the client is installed for the first time, a subdirectory named <strong id="mrs_01_1595__b1133942994111119">flume-client</strong> is generated. After the installation, subdirectories named <strong id="mrs_01_1595__b172570235111119">flume-client-</strong><em id="mrs_01_1595__i1372949499111119">n</em> will be generated in sequence. The letter <em id="mrs_01_1595__i133779525111119">n</em> indicates a sequence number, which starts from 1 in ascending order. In the <strong id="mrs_01_1595__b1546894506111119">/conf/</strong> directory of the Flume client installation directory, modify the <strong id="mrs_01_1595__b1522345422111119">ENV_VARS</strong> file and search for the <strong id="mrs_01_1595__b1971287921111119">FLUME_LOG_DIR</strong> attribute to view the client log path.</li><li id="mrs_01_1595__li20666115121317">(Optional) <strong id="mrs_01_1595__b743776866111119">-e</strong>: Service IP address or host name of FlumeServer, which is used to receive statistics for the monitoring indicator reported by the client.</li><li id="mrs_01_1595__li15666121518134">(Optional) <strong id="mrs_01_1595__b1499874440111119">-n</strong>: Name of the Flume client. You can choose <strong id="mrs_01_1595__b1402444362111119">Cluster</strong> &gt; <em id="mrs_01_1595__i303375432111119">Name of the desired cluster</em> &gt; <strong id="mrs_01_1595__b810142238111119">Service</strong> &gt; <strong id="mrs_01_1595__b1533057691111119">Flume</strong> &gt; <strong id="mrs_01_1595__b885657207111119">Flume Management</strong> on FusionInsight Manager to view the client name on the corresponding node.</li><li id="mrs_01_1595__li066691512137">If the following error message is displayed, run the <strong id="mrs_01_1595__b407372734111119">export JAVA_HOME=<em id="mrs_01_1595__i1163444583111119">JDK</em><em id="mrs_01_1595__i474016918111119"> path</em></strong> command. <pre class="screen" id="mrs_01_1595__screen15667015141315">JAVA_HOME is null in current user,please install the JDK and set the JAVA_HOME</pre>
+</li><li id="mrs_01_1595__li136679155134">IBM JDK does not support <strong id="mrs_01_1595__b1282410347111119">-Xloggc</strong>. You must change <strong id="mrs_01_1595__b135725775111119">-Xloggc</strong> to <strong id="mrs_01_1595__b770958083111119">-Xverbosegclog</strong> in <strong id="mrs_01_1595__b255012893111119">flume/conf/flume-env.sh</strong>. For 32-bit JDK, the value of <strong id="mrs_01_1595__b1127491023111119">-Xmx</strong> must not exceed 3.25 GB.</li><li id="mrs_01_1595__li16301208188">When installing a cross-platform client in a cluster, go to the <strong id="mrs_01_1595__b815417514570">/opt</strong><strong id="mrs_01_1595__b1016212519571"></strong><strong id="mrs_01_1595__b6163145118572">/client/FusionInsight_Cluster_1_Flume_ClientConfig/Flume/FusionInsight-Flume-1.9.0.tar.gz</strong> directory to install the Flume client.</li></ul>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0392.html">Installing the Flume Client</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1596.html b/docs/mrs/component-operation-guide/mrs_01_1596.html
new file mode 100644
index 000000000..521535dc9
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1596.html
@@ -0,0 +1,15 @@
+<a name="mrs_01_1596"></a><a name="mrs_01_1596"></a>
+
+<h1 class="topictitle1">Viewing Flume Client Monitoring Information</h1>
+<div id="body1596423752513"><div class="section" id="mrs_01_1596__s6161a7ac7acb40b6af32f11efd53da47"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1596__aa8478f35a921439a83dd891375297032">The Flume client outside the FusionInsight cluster is a part of the end-to-end data collection. Both the Flume client outside the cluster and the Flume server in the cluster need to be monitored. Users can use FusionInsight Manager to monitor the Flume client and view the monitoring indicators of the Source, Sink, and Channel of the client as well as the client process status.</p>
+<p id="mrs_01_1596__p44851455145513">This section applies to MRS 3.<em id="mrs_01_1596__i9415164610566">x</em> or later clusters.</p>
+</div>
+<div class="section" id="mrs_01_1596__s3d6df3d4217c413085c35c475a49453d"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1596__ob804645397e44a8bbca28df68fe1043b"><li id="mrs_01_1596__lf910c57b80f541248e2172a97223492f"><span>Log in to FusionInsight Manager.</span></li><li id="mrs_01_1596__l371cfd0e345d4e1c8a323fbb7b19e544"><span>Choose <strong id="mrs_01_1596__b20354185020214">Cluster</strong> &gt; <em id="mrs_01_1596__i4328165312110">Name of the desired cluster</em> &gt; <strong id="mrs_01_1596__b65381059172114">Services</strong> &gt; <strong id="mrs_01_1596__b93043132215">Flume</strong> &gt; <strong id="mrs_01_1596__b979310911224">Flume Management</strong> to view the current Flume client list and process status.</span></li><li id="mrs_01_1596__lc60c7a6517cc4603b4bb795c07bd7e30"><span>Click the <span class="wintitle" id="mrs_01_1596__wintitle1926552983112347"><b>Instance ID</b></span>, and view client monitoring metrics in the <span class="wintitle" id="mrs_01_1596__wintitle551340160112347"><b>Current</b></span> area.</span></li><li id="mrs_01_1596__en-us_topic_0060028844_li4487392055"><span>Click <span class="menucascade" id="mrs_01_1596__menucascade1729183882112347"><b><span class="uicontrol" id="mrs_01_1596__uicontrol2125153854112347">History</span></b></span>. The page for querying historical monitoring data is displayed. Select a time range and click <span class="menucascade" id="mrs_01_1596__m4cfc2dffdd324843b8bc4cd19a9fb039"><b><span class="uicontrol" id="mrs_01_1596__u87911a5c5b0f4cff9eb7d69151da45f4">View</span></b></span> to view the monitoring data within the time range.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0390.html">Using Flume</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1598.html b/docs/mrs/component-operation-guide/mrs_01_1598.html
new file mode 100644
index 000000000..9001d9546
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1598.html
@@ -0,0 +1,42 @@
+<a name="mrs_01_1598"></a><a name="mrs_01_1598"></a>
+
+<h1 class="topictitle1">Common Issues About Flume</h1>
+<div id="body1596098831033"><p id="mrs_01_1598__ada0e81aa03a04385825a62e865120d08">Flume logs are stored in <strong id="mrs_01_1598__b28193456525424">/var/log/Bigdata/flume/flume/flumeServer.log</strong>. Most data transmission exceptions and data transmission failures are recorded in logs. You can run the following command:</p>
+<p id="mrs_01_1598__a99f4acfbee9b4570ad7c3ccb6e2f93c9"><strong id="mrs_01_1598__a25c6f4b2c5a04e95ad02ccff3c97414a">tailf /var/log/Bigdata/flume/flume/flumeServer.log</strong></p>
+<ul id="mrs_01_1598__u31b4d0b7d23e43999868b7818958e418"><li id="mrs_01_1598__ld252f91c610d442997aa26f436a3f3fe">Problem: After the configuration file is uploaded, an exception occurs. After the configuration file is uploaded again, the scenario requirements are still not met, but no exception is recorded in the log.<p id="mrs_01_1598__af578631217a24dbab3ea512c9686746d"><a name="mrs_01_1598__ld252f91c610d442997aa26f436a3f3fe"></a><a name="ld252f91c610d442997aa26f436a3f3fe"></a>Solution: Restart the Flume process, run the <strong id="mrs_01_1598__a0c3f4c4844fc44209a0ae4112bd702c3">kill -9</strong> <em id="mrs_01_1598__ad84580338beb4e94aa93d6d7fdfafda0">Process code</em> to kill the process code, and view the logs.</p>
+</li><li id="mrs_01_1598__l27ffb3814b434a07a1204ad31be269b7">Issue: <strong id="mrs_01_1598__b127719299325424">"java.lang.IllegalArgumentException: Keytab is not a readable file: /opt/test/conf/user.keytab"</strong> is displayed when HDFS is connected.<p id="mrs_01_1598__ab03955741cf74d97ac3e74009cac0e8b">Solution: Grant the read and write permissions to the Flume running user.</p>
+</li><li id="mrs_01_1598__la61d30a35fc446248ad8e8df48b60098">Problem: The following error is reported when the Flume client is connected to Kafka:<pre class="screen" id="mrs_01_1598__s0efc263a5a4145ec84dd89757fd4efbb">Caused by: java.io.IOException: /opt/FlumeClient/fusioninsight-flume-1.9.0/cof//jaas.conf (No such file or directory)</pre>
+<p id="mrs_01_1598__a56fe7618127f4be5a89b6df72207fd86">Solution: Add the <strong id="mrs_01_1598__b44128350025424">jaas.conf</strong> configuration file and save it to the <strong id="mrs_01_1598__b180048296425424">conf</strong> directory of the Flume client.</p>
+<p id="mrs_01_1598__ade8446448ecf45939b70fc6b4bcba427"><strong id="mrs_01_1598__ab16fcf1e0f594674a45a6132c8620ac6">vi jaas.conf</strong></p>
+<pre class="screen" id="mrs_01_1598__s3cc877cee9414a62b0aa9ea18e248e7b">KafkaClient {
+com.sun.security.auth.module.Krb5LoginModule required
+useKeyTab=true
+keyTab="<strong id="mrs_01_1598__a97cbdb20c75d4a39beb96c842bb8ec74">/opt/test/conf/user.keytab</strong>"
+principal="<strong id="mrs_01_1598__b19132524925424">flume_hdfs@</strong><em id="mrs_01_1598__i64895910025424">&lt;System domain name&gt;</em>"
+useTicketCache=false
+storeKey=true
+debug=true;
+};</pre>
+<p id="mrs_01_1598__a88f92b8ae5e647768386328f9a5ecf50">Values of <strong id="mrs_01_1598__b201228920725424">keyTab</strong> and <strong id="mrs_01_1598__b54564851225424">principal</strong> vary depending on the actual situation.</p>
+</li><li id="mrs_01_1598__li94501224132510">Problem: The following error is reported when the Flume client is connected to HBase:<pre class="screen" id="mrs_01_1598__screen445042412259">Caused by: java.io.IOException: /opt/FlumeClient/fusioninsight-flume-1.9.0/cof//jaas.conf (No such file or directory)</pre>
+<p id="mrs_01_1598__p945017245259">Solution: Add the <strong id="mrs_01_1598__b1544021319">jaas.conf</strong> configuration file and save it to the <strong id="mrs_01_1598__b2018460968">conf</strong> directory of the Flume client.</p>
+<p id="mrs_01_1598__p12451192410251"><strong id="mrs_01_1598__b144512246259">vi jaas.conf</strong></p>
+<pre class="screen" id="mrs_01_1598__screen16451224132517">Client {
+com.sun.security.auth.module.Krb5LoginModule required
+useKeyTab=true
+keyTab="<strong id="mrs_01_1598__b16451122410255">/opt/test/conf/user.keytab</strong>"
+principal="<strong id="mrs_01_1598__b203722128111">flume_hbase@</strong><em id="mrs_01_1598__i93777121117">&lt;System domain name&gt;</em>"
+useTicketCache=false
+storeKey=true
+debug=true;
+};</pre>
+<p id="mrs_01_1598__p114511024172518">Values of <strong id="mrs_01_1598__b982551646">keyTab</strong> and <strong id="mrs_01_1598__b304752958">principal</strong> vary depending on the actual situation.</p>
+</li><li id="mrs_01_1598__l89b844d676814268b9a9ff24e1d28f4d">Question: After the configuration file is submitted, the Flume Agent occupies resources. How do I restore the Flume Agent to the state when the configuration file is not uploaded?<p id="mrs_01_1598__a3c6ec2c342a1492b97403287c50d0a3f"><a name="mrs_01_1598__l89b844d676814268b9a9ff24e1d28f4d"></a><a name="l89b844d676814268b9a9ff24e1d28f4d"></a>Solution: Submit an empty <strong id="mrs_01_1598__b158930643625424">properties.properties</strong> file.</p>
+</li></ul>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0390.html">Using Flume</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1608.html b/docs/mrs/component-operation-guide/mrs_01_1608.html
new file mode 100644
index 000000000..92000fb6f
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1608.html
@@ -0,0 +1,65 @@
+<a name="mrs_01_1608"></a><a name="mrs_01_1608"></a>
+
+<h1 class="topictitle1">Creating HBase Roles</h1>
+<div id="body1595926919547"><div class="section" id="mrs_01_1608__s068dac6f5fd54af79001ce4fe1b9a8b1"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1608__a6ab4909b056b40e4a00dfe5470f9c7c4">This section guides the system administrator to create and configure an HBase role on Manager. The HBase role can set HBase administrator permissions and read (R), write (W), create (C), execute (X), or manage (A) permissions for HBase tables and column families.</p>
+</div>
+<p id="mrs_01_1608__ae1a8510dc5714418817c4abe098fa48c">Users can create a table, query/delete/insert/update data, and authorize others to access HBase tables after they set the corresponding permissions for the specified databases or tables on HDFS.</p>
+<div class="note" id="mrs_01_1608__nb17b22afdff9426a82d4f7019f167753"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1608__ul188791828683"><li id="mrs_01_1608__li73291107720">This section applies to MRS 3.<em id="mrs_01_1608__i191961672570">x</em> or later clusters.</li><li id="mrs_01_1608__li1687920281813">HBase roles can be created in security mode, but cannot be created in normal mode.</li><li id="mrs_01_1608__li11879128287">If the current component uses Ranger for permission control, you need to configure related policies based on Ranger for permission management. For details, see <a href="mrs_01_1857.html">Adding a Ranger Access Permission Policy for HBase</a>.</li></ul>
+</div></div>
+<div class="section" id="mrs_01_1608__s1bcc316cdf0d4c8393088695f012466e"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1608__u8b17ec54ddd54ae48f8a71bd33901d48"><li id="mrs_01_1608__lb6b9e7ed22854027bc2eae1d44881214">The system administrator has understood the service requirements.</li></ul>
+</div>
+<ul id="mrs_01_1608__ubef9217b866340068c3f0122c35ab190"><li id="mrs_01_1608__leade52010d74405a8f76b0060ecb0e05">You have logged in to Manager.</li></ul>
+<div class="section" id="mrs_01_1608__s662ce3846152499784251bb7c911f342"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1608__o186f566d69ae42dc8eb85a2b1ce63220"><li id="mrs_01_1608__l7bf2fec327e64c74a810a6d9868dccc2"><span>On Manager, choose <strong id="mrs_01_1608__b754655116381">System </strong>&gt; <strong id="mrs_01_1608__b6546175113812">Permission </strong>&gt; <strong id="mrs_01_1608__b454717512383">Role</strong>.</span></li><li id="mrs_01_1608__l384619f400714a499acf3f190486b551"><span>On the displayed page, click <strong id="mrs_01_1608__b961616562527">Create Role</strong> and enter a <strong id="mrs_01_1608__b1462119563523">Role Name</strong> and <strong id="mrs_01_1608__b2621175645214">Description</strong>.</span></li><li id="mrs_01_1608__l8c8314cfaae741fdb765b123d68968a9"><span>Set <strong id="mrs_01_1608__b111045015531">Permission</strong>. For details, see <a href="#mrs_01_1608__t873a9c44357b40cd98cb948ce9438d93">Table 1</a>.</span><p><p id="mrs_01_1608__afcc0faa989194357a61da9de3606ab8a">HBase permissions:</p>
+<ul id="mrs_01_1608__u3431e698392949ebb0755cca3cf8fe7e"><li id="mrs_01_1608__l7bb92b4600e34a61b96fc8f208ce13f0">HBase Scope: Authorizes HBase tables. The minimum permission is read (R) and write (W) for columns.</li><li id="mrs_01_1608__l320823236dd145a9a71786cc613c0046">HBase administrator permission: HBase administrator permissions.</li></ul>
+<div class="note" id="mrs_01_1608__na729c53cc400401e8a4e9fb35dc24ed4"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1608__a89da7254c1b64e34bf54ebbaae231308">Users have the read (R), write (W), create (C), execute (X), and administrate (A) permissions for the tables created by themselves.</p>
+</div></div>
+
+<div class="tablenoborder"><a name="mrs_01_1608__t873a9c44357b40cd98cb948ce9438d93"></a><a name="t873a9c44357b40cd98cb948ce9438d93"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1608__t873a9c44357b40cd98cb948ce9438d93" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Setting a role</caption><thead align="left"><tr id="mrs_01_1608__r22d8abe0340447d689b9e0e015272547"><th align="left" class="cellrowborder" valign="top" width="30.259999999999998%" id="mcps1.3.6.2.3.2.4.2.3.1.1"><p id="mrs_01_1608__ac6fb62376c174fb5a3fc46f3ac6455d4">Task</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="69.74000000000001%" id="mcps1.3.6.2.3.2.4.2.3.1.2"><p id="mrs_01_1608__aa62388fc922c4b9d9bf078faefd25db3">Role Authorization</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1608__row62954416143450"><td class="cellrowborder" valign="top" width="30.259999999999998%" headers="mcps1.3.6.2.3.2.4.2.3.1.1 "><p id="mrs_01_1608__p39209373143450">Setting the HBase administrator permission</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.74000000000001%" headers="mcps1.3.6.2.3.2.4.2.3.1.2 "><p id="mrs_01_1608__p17770765143450">In <strong id="mrs_01_1608__b13368344145319">Configure Resource Permission</strong>, choose <em id="mrs_01_1608__i53731544185312">Name of the desired cluster</em> &gt; <strong id="mrs_01_1608__b18373344125318">HBase</strong> and select <strong id="mrs_01_1608__b193731344145314">HBase Administrator Permission</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1608__r5dfed8c26b5f4a208625be1492d26005"><td class="cellrowborder" valign="top" width="30.259999999999998%" headers="mcps1.3.6.2.3.2.4.2.3.1.1 "><p id="mrs_01_1608__a41b42dfe116b448e9c83482bba5070b3">Setting the permission for users to create tables</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.74000000000001%" headers="mcps1.3.6.2.3.2.4.2.3.1.2 "><ol type="a" id="mrs_01_1608__o637a274405c540a28eb3e2d9087eae63"><li id="mrs_01_1608__l384a221a63e744c788e6207e93b71986">In <strong id="mrs_01_1608__b36901959145313">Configure Resource Permission</strong>, choose <em id="mrs_01_1608__i1169519593532">Name of the desired cluster</em> &gt; <strong id="mrs_01_1608__b4695125945313">HBase</strong> &gt; <strong id="mrs_01_1608__b106956592531">HBase Scope</strong>.</li><li id="mrs_01_1608__l5066d959948d48cba14ef10e903dde48">Click <strong id="mrs_01_1608__b578645135412">global</strong>.</li><li id="mrs_01_1608__l6d4a03000372452ab514c85d316bde81">In the <strong id="mrs_01_1608__b1862018735413">Permission</strong> column of the specified namespace, select <strong id="mrs_01_1608__b19620127135419">Create</strong> and <strong id="mrs_01_1608__b7621871546">Execute</strong>. For example, select <strong id="mrs_01_1608__b8381894548">Create</strong> and <strong id="mrs_01_1608__b93811699545">Execute</strong> for the default namespace <strong id="mrs_01_1608__b23811198543">default</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1608__ra5f354c6849d44edbeed327936919363"><td class="cellrowborder" valign="top" width="30.259999999999998%" headers="mcps1.3.6.2.3.2.4.2.3.1.1 "><p id="mrs_01_1608__a6c2cafda8f5b409ba74b68582842934f">Setting the permission for users to write data to tables</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.74000000000001%" headers="mcps1.3.6.2.3.2.4.2.3.1.2 "><ol type="a" id="mrs_01_1608__ob98db7ec463946fab48b32af2a41711a"><li id="mrs_01_1608__l03667d6b1cc545f2afd38f8a5cd4606b">In <strong id="mrs_01_1608__b8249101320545">Configure Resource Permission</strong>, choose <em id="mrs_01_1608__i172543139544">Name of the desired cluster</em> &gt; <strong id="mrs_01_1608__b13254101314544">HBase</strong> &gt; <strong id="mrs_01_1608__b152541413195412">HBase Scope</strong> &gt; <strong id="mrs_01_1608__b3255181311548">global</strong>.</li><li id="mrs_01_1608__l4a0d53c830f2446ebf4750f4e136bbfa">In the <strong id="mrs_01_1608__b8864152375411">Permission</strong> column of the specified namespace, select <strong id="mrs_01_1608__b19869523115415">Write</strong>. For example, select <strong id="mrs_01_1608__b1050162611549">Write</strong> for the default namespace <strong id="mrs_01_1608__b1750102614549">default</strong>. By default, HBase sub-objects inherit the permission from the parent object.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1608__r6c36edec31fa430c91f7ad84f3e9a0ff"><td class="cellrowborder" valign="top" width="30.259999999999998%" headers="mcps1.3.6.2.3.2.4.2.3.1.1 "><p id="mrs_01_1608__adaee6dab764348d083aca4da79c6e99b">Setting the permission for users to read data from tables</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.74000000000001%" headers="mcps1.3.6.2.3.2.4.2.3.1.2 "><ol type="a" id="mrs_01_1608__oa30fe88c86374c54947cf54944c691b6"><li id="mrs_01_1608__l374d3dba48e64537b241bf94ec30801d">In <strong id="mrs_01_1608__b597693318542">Configure Resource Permission</strong>, choose <em id="mrs_01_1608__i1098083318547">Name of the desired cluster</em> &gt; <strong id="mrs_01_1608__b19811633175410">HBase</strong> &gt; <strong id="mrs_01_1608__b2981333155415">HBase Scope</strong> &gt; <strong id="mrs_01_1608__b139810333548">global</strong>.</li><li id="mrs_01_1608__l46767bbcdcb94d5497c5e96f162c1d9f">In the <strong id="mrs_01_1608__b15392144045416">Permission</strong> column of the specified namespace, select <strong id="mrs_01_1608__b1539754055418">Read</strong>. For example, select <strong id="mrs_01_1608__b24984285414">Read</strong> for the default namespace <strong id="mrs_01_1608__b4491442165410">default</strong>. By default, HBase sub-objects inherit the permission from the parent object.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1608__r95be17dbfe5646919d7299c1e229900e"><td class="cellrowborder" valign="top" width="30.259999999999998%" headers="mcps1.3.6.2.3.2.4.2.3.1.1 "><p id="mrs_01_1608__ad1db0bbdb9ec47cd95f0101bcc3f8699">Setting the permission for users to manage namespaces or tables</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.74000000000001%" headers="mcps1.3.6.2.3.2.4.2.3.1.2 "><ol type="a" id="mrs_01_1608__o4fec88099543498580262f53621ac547"><li id="mrs_01_1608__ld628e0601f394e0482b35235db48e73a">In <strong id="mrs_01_1608__b299614811545">Configure Resource Permission</strong>, choose <em id="mrs_01_1608__i141249185419">Name of the desired cluster</em> &gt; <strong id="mrs_01_1608__b202449105416">HBase</strong> &gt; <strong id="mrs_01_1608__b1321949185417">HBase Scope</strong> &gt; <strong id="mrs_01_1608__b132164918549">global</strong>.</li><li id="mrs_01_1608__la16ab980af6741398fde730b72f26847">In the <strong id="mrs_01_1608__b146981455185414">Permission</strong> column of the specified namespace, select <strong id="mrs_01_1608__b1170365516543">Manage</strong>. For example, select <strong id="mrs_01_1608__b142611610145510">Manage</strong> for the default namespace <strong id="mrs_01_1608__b1026641035518">default</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1608__rd18a916a62e0438291e70f9ddf14c7e7"><td class="cellrowborder" valign="top" width="30.259999999999998%" headers="mcps1.3.6.2.3.2.4.2.3.1.1 "><p id="mrs_01_1608__acbb7239ce1a54b668354ecfc89b0b91a">Setting the permission for reading data from or writing data to columns</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.74000000000001%" headers="mcps1.3.6.2.3.2.4.2.3.1.2 "><ol type="a" id="mrs_01_1608__o72c9dd86625646509cffe6de230c4c75"><li id="mrs_01_1608__lacf518358f7f4604a3088bd2bdfb44e6">In <strong id="mrs_01_1608__b582071545517">Configure Resource Permission</strong>, select <em id="mrs_01_1608__i4825715125513">Name of the desired cluster</em> &gt; <strong id="mrs_01_1608__b682615155559">HBase</strong> &gt; <strong id="mrs_01_1608__b58269156558">HBase Scope</strong> &gt; <strong id="mrs_01_1608__b78261415195520">global</strong> and click the specified namespace to display the tables in the namespace.</li><li id="mrs_01_1608__lf5774f73f6214920aa4ab6398a119d1a">Click a table.</li><li id="mrs_01_1608__li205811840135312">Click a column family.</li><li id="mrs_01_1608__lf186cf6ddfee4ca98d6c310b519c2ac8">Confirm whether you want to create a role?<ul id="mrs_01_1608__u11d02b0facb24f5d9b3a9fb47bf4de67"><li id="mrs_01_1608__l0d7ebe4b05274889a6d3a7b168d0327b">If yes, enter the column name in the <strong id="mrs_01_1608__b38631924175520">Resource Name</strong> text box. Use commas (,) to separate multiple columns. Select <strong id="mrs_01_1608__b1868524185515">Read</strong> or <strong id="mrs_01_1608__b2086812420556">Write</strong>. If there are no columns with the same name in the HBase table, a newly created column with the same name as the existing column has the same permission as the existing one. The column permission is set successfully.</li><li id="mrs_01_1608__l09c13fe9249f4510ab837021c8422483">If no, modify the column permission of the existing HBase role. The columns for which the permission has been separately set are displayed in the table. Go to <a href="#mrs_01_1608__lc2f15302f1854175993f36524c25bf26">5</a>.</li></ul>
+</li><li id="mrs_01_1608__lc2f15302f1854175993f36524c25bf26"><a name="mrs_01_1608__lc2f15302f1854175993f36524c25bf26"></a><a name="lc2f15302f1854175993f36524c25bf26"></a>To add column permissions for a role, enter the column name in the <strong id="mrs_01_1608__b677525645517">Resource Name</strong> text box and set the column permissions. To modify column permissions for a role, enter the column name in the <strong id="mrs_01_1608__b6899359105510">Resource Name</strong> text box and set the column permissions. Alternatively, you can directly modify the column permissions in the table. If the column permissions are modified in the table and column permissions with the same name are added, the settings cannot be saved. You are advised to modify the column permission of a role directly in the table. The search function is supported.</li></ol>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_1608__l3b336e62e45d4280a9b00c7c43697cfa"><span>Click <strong id="mrs_01_1608__b78859812569">OK</strong>, and return to the <strong id="mrs_01_1608__b1489010845618">Role</strong> page.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0500.html">Using HBase</a></div>
+</div>
+</div>
+
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@@ -0,0 +1,236 @@
+<a name="mrs_01_1609"></a><a name="mrs_01_1609"></a>
+
+<h1 class="topictitle1">Configuring HBase DR</h1>
+<div id="body1595926919567"><div class="section" id="mrs_01_1609__s9c6bed471289404ba828223a59d19a6b"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1609__ade9f6359a5384d09a20aa8fa81885e7f">HBase disaster recovery (DR), a key feature that is used to ensure high availability (HA) of the HBase cluster system, provides the real-time remote DR function for HBase. HBase DR provides basic O&amp;M tools, including tools for maintaining and re-establishing DR relationships, verifying data, and querying data synchronization progress. To implement real-time DR, back up data of an HBase cluster to another HBase cluster. DR in the HBase table common data writing and BulkLoad batch data writing scenarios is supported. </p>
+<div class="note" id="mrs_01_1609__note1286611300323"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1609__p1486614300321">This section applies to MRS 3.<em id="mrs_01_1609__i13635314125715">x</em> or later clusters.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1609__s0055f381415e4857abfea720698e5d20"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1609__u8cc72485909a4a07a782c2009cd3458d"><li id="mrs_01_1609__l99a9479733b2477ebb92b1b4a9c741cc">The active and standby clusters are successfully installed and started, and you have the administrator permissions on the clusters.</li></ul>
+<ul id="mrs_01_1609__u79c941c210ef4447bf22501634f316c5"><li id="mrs_01_1609__l02a3f8df7d1c46c18e386ce76d9278b2">Ensure that the network connection between the active and standby clusters is normal and ports are available.</li><li id="mrs_01_1609__l042d7806d026482dbe696659fd59aea1">If the active cluster is deployed in security mode and is not managed by one FusionInsight Manager, cross-cluster trust relationship has been configured for the active and standby clusters.. If the active cluster is deployed in normal mode, no cross-cluster mutual trust is required.</li><li id="mrs_01_1609__la2d19ffa10df44c7b2008706a605bc92">Cross-cluster replication has been configured for the active and standby clusters.</li><li id="mrs_01_1609__l555cc6e50fbb42be93a3bb0cb35109e7">Time is consistent between the active and standby clusters and the NTP service on the active and standby clusters uses the same time source.</li><li id="mrs_01_1609__l5f448e22378246578ce41e7d881a378d">Mapping relationships between the names of all hosts in the active and standby clusters and IP addresses have been configured in the hosts files of all the nodes in the active and standby clusters and of the node where the active cluster client resides.</li><li id="mrs_01_1609__l911f914305414f00ab391d8c39652e20">The network bandwidth between the active and standby clusters is determined based on service volume, which cannot be less than the possible maximum service volume.</li><li id="mrs_01_1609__li177211224124820">The MRS versions of the active and standby clusters must be the same.</li><li id="mrs_01_1609__li1818194311412">The scale of the standby cluster must be greater than or equal to that of the active cluster.</li></ul>
+</div>
+<div class="section" id="mrs_01_1609__sacae13ecf61c48949ad977b27b2980f8"><h4 class="sectiontitle">Constraints</h4><ul id="mrs_01_1609__u30285edf512147598f0acd31f4af9531"><li id="mrs_01_1609__lf801c745c73f4c4091795ff6be10fc5e">Although DR provides the real-time data replication function, the data synchronization progress is affected by many factors, such as the service volume in the active cluster and the health status of the standby cluster. In normal cases, the standby cluster should not take over services. In extreme cases, system maintenance personnel and other decision makers determine whether the standby cluster takes over services according to the current data synchronization indicators.</li></ul>
+<ul id="mrs_01_1609__u2ec3d8a51e644c419eb3ca8f34ee3cf0"><li id="mrs_01_1609__lbd41e04a12694304ba7d60c1da4baba3">HBase clusters must be deployed in active/standby mode.</li><li id="mrs_01_1609__l95eb0f60edf041e18c92fb4994523eb0">Table-level operations on the DR table of the standby cluster are forbidden, such as modifying the table attributes and deleting the table. Misoperations on the standby cluster will cause data synchronization failure of the active cluster. As a result, table data in the standby cluster is lost.</li><li id="mrs_01_1609__l3d45b524bd2e4dd9a694a5954ab1d130">If the DR data synchronization function is enabled for HBase tables of the active cluster, the DR table structure of the standby cluster needs to be modified to ensure table structure consistency between the active and standby clusters during table structure modification. </li></ul>
+</div>
+<div class="section" id="mrs_01_1609__s07eb958049cb41a99a47c6fded22d004"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1609__a80ae4ec3c48146e2b0f619cc98405044"><strong id="mrs_01_1609__b1659275213915">Configuring the common data writing DR parameters for the active cluster</strong></p>
+</div>
+<ol id="mrs_01_1609__o169dc6b2ac674d8fb2c716bae9ed2b6a"><li id="mrs_01_1609__l10d2959960384d92b4fc58d293e18778"><span>Log in to Manager of the active cluster.</span></li><li id="mrs_01_1609__lcb4093c94c7a4d99b8b8d369d46d53ee"><span>Choose <strong id="mrs_01_1609__b3542912134016">Cluster</strong> &gt; <em id="mrs_01_1609__i154381264018">Name of the desired cluster</em> &gt; <strong id="mrs_01_1609__b254311122406">Services</strong> &gt; <strong id="mrs_01_1609__b1954311124403">HBase</strong> &gt; <strong id="mrs_01_1609__b154411129405">Configurations</strong> and click <strong id="mrs_01_1609__b14544121224010">All Configurations</strong>. The HBase configuration page is displayed.</span></li><li id="mrs_01_1609__l6578a6eefe0341dc879738b875753aba"><span>(Optional) <a href="#mrs_01_1609__tcc2ebdc7794f4718bf8175f779496069">Table 1</a> describes the optional configuration items during HBase DR. You can set the parameters based on the description or use the default values.</span><p>
+<div class="tablenoborder"><a name="mrs_01_1609__tcc2ebdc7794f4718bf8175f779496069"></a><a name="tcc2ebdc7794f4718bf8175f779496069"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1609__tcc2ebdc7794f4718bf8175f779496069" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Optional configuration items</caption><thead align="left"><tr id="mrs_01_1609__rfa718055b3e243c48d70cd1015cef214"><th align="left" class="cellrowborder" valign="top" width="18.98%" id="mcps1.3.5.3.2.1.2.5.1.1"><p id="mrs_01_1609__a8ae58b00bb0b46d4a708cea2ca1cc9f4">Navigation Path</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="28.01%" id="mcps1.3.5.3.2.1.2.5.1.2"><p id="mrs_01_1609__a0dc64e89c05e4e59a6252384e77fac45">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="13.350000000000001%" id="mcps1.3.5.3.2.1.2.5.1.3"><p id="mrs_01_1609__ab9282c26fd4143d4bc04ac1806b38e25">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="39.660000000000004%" id="mcps1.3.5.3.2.1.2.5.1.4"><p id="mrs_01_1609__a51ef30fec865406ea8affdd557593780">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1609__r832186d96216492f80ecb70c3ef2f5e1"><td class="cellrowborder" rowspan="2" valign="top" width="18.98%" headers="mcps1.3.5.3.2.1.2.5.1.1 "><p id="mrs_01_1609__ae70aed75e72d4c24a13a4283b17ada0e">HMaster &gt; Performance</p>
+</td>
+<td class="cellrowborder" valign="top" width="28.01%" headers="mcps1.3.5.3.2.1.2.5.1.2 "><p id="mrs_01_1609__ad66b0a10aabb42feaad5ac5c122d423c">hbase.master.logcleaner.ttl</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.350000000000001%" headers="mcps1.3.5.3.2.1.2.5.1.3 "><p id="mrs_01_1609__ac5ae253bd2a249a7bea6317901b24055">600000</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.660000000000004%" headers="mcps1.3.5.3.2.1.2.5.1.4 "><p id="mrs_01_1609__a92a1a63ed89f4c91b90f98ea5d2120ae">Specifies the retention period of HLog. If the value is set to <strong id="mrs_01_1609__b03803386306">604800000</strong> (unit: millisecond), the retention period of HLog is 7 days.</p>
+</td>
+</tr>
+<tr id="mrs_01_1609__rd31fe02b065746a59765aa4781b1c355"><td class="cellrowborder" valign="top" headers="mcps1.3.5.3.2.1.2.5.1.1 "><p id="mrs_01_1609__a95a4aff72fe84242ae9b99c7e37eb165">hbase.master.cleaner.interval</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.5.3.2.1.2.5.1.2 "><p id="mrs_01_1609__a362f4d33f9904c25a40f8dc4e812781d">60000</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.5.3.2.1.2.5.1.3 "><p id="mrs_01_1609__a7d86530b5d424616a2ff6c927a887c49">Interval for the HMaster to delete historical HLog files. The HLog that exceeds the configured period will be automatically deleted. You are advised to set it to the maximum value to save more HLogs.</p>
+</td>
+</tr>
+<tr id="mrs_01_1609__r469a13d71f464cf680fe44e20105bdee"><td class="cellrowborder" rowspan="5" valign="top" width="18.98%" headers="mcps1.3.5.3.2.1.2.5.1.1 "><p id="mrs_01_1609__a6ebaa822a8a04a568faa6e856e975eba">RegionServer &gt; Replication</p>
+</td>
+<td class="cellrowborder" valign="top" width="28.01%" headers="mcps1.3.5.3.2.1.2.5.1.2 "><p id="mrs_01_1609__a66eba58af9cd4306bf515e16bda8328c">replication.source.size.capacity</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.350000000000001%" headers="mcps1.3.5.3.2.1.2.5.1.3 "><p id="mrs_01_1609__a9af7145507584d75935317ae7f0fa80e">16777216</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.660000000000004%" headers="mcps1.3.5.3.2.1.2.5.1.4 "><p id="mrs_01_1609__a88ed0c3882e44cccb9dae9261513b6da">Maximum size of edits, in bytes. If the edit size exceeds the value, HLog edits will be sent to the standby cluster.</p>
+</td>
+</tr>
+<tr id="mrs_01_1609__r9de73b50711b435a84889d2ca1c1c864"><td class="cellrowborder" valign="top" headers="mcps1.3.5.3.2.1.2.5.1.1 "><p id="mrs_01_1609__a3cf2462297fc45c3aaaac2aaebe0ac4a">replication.source.nb.capacity</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.5.3.2.1.2.5.1.2 "><p id="mrs_01_1609__a64931531280c418ebac00e58466f9a2d">25000</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.5.3.2.1.2.5.1.3 "><p id="mrs_01_1609__aa36da7268c9946a49f62cb496e725b51">Maximum number of edits, which is another condition for triggering HLog edits to be sent to the standby cluster. After data in the active cluster is synchronized to the standby cluster, the active cluster reads and sends data in HLog according to this parameter value. This parameter is used together with <strong id="mrs_01_1609__b336432719577">replication.source.size.capacity</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1609__r153f2e0506e24c6e97d1dac275486d6e"><td class="cellrowborder" valign="top" headers="mcps1.3.5.3.2.1.2.5.1.1 "><p id="mrs_01_1609__af87a3b2b51c240159cfdb8550d4ffe5e">replication.source.maxretriesmultiplier</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.5.3.2.1.2.5.1.2 "><p id="mrs_01_1609__a79fde18fb9074b539aafa02760aed18c">10</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.5.3.2.1.2.5.1.3 "><p id="mrs_01_1609__aea950e2ed3a4440f8a7ed568eb1a4164">Maximum number of retries when an exception occurs during replication.</p>
+</td>
+</tr>
+<tr id="mrs_01_1609__re501670a0fe74fef80a2fd4ccdc35dfb"><td class="cellrowborder" valign="top" headers="mcps1.3.5.3.2.1.2.5.1.1 "><p id="mrs_01_1609__ac98cc1901be24037b8e5c24ce7e18bd4">replication.source.sleepforretries</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.5.3.2.1.2.5.1.2 "><p id="mrs_01_1609__a0ec494703e5e44839932d4955d6e08b3">1000</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.5.3.2.1.2.5.1.3 "><p id="mrs_01_1609__a3aad1be328044729a54970f0f21ebacf">Retry interval (Unit: ms)</p>
+</td>
+</tr>
+<tr id="mrs_01_1609__rf5a1ec0d66f244a0b59f6fb034159e7a"><td class="cellrowborder" valign="top" headers="mcps1.3.5.3.2.1.2.5.1.1 "><p id="mrs_01_1609__a582aab54f2e7475f83eaeaa098ef452f">hbase.regionserver.replication.handler.count</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.5.3.2.1.2.5.1.2 "><p id="mrs_01_1609__a19e83e2637d841d4bb9df24bbafb9a23">6</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.5.3.2.1.2.5.1.3 "><p id="mrs_01_1609__acefa80c765e740168c6b6048e620c0b7">Number of replication RPC server instances on RegionServer</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li></ol>
+<p id="mrs_01_1609__a0c92240be54d41cca88d5c0357b91228"><strong id="mrs_01_1609__b16852114016574">Configuring the BulkLoad batch data writing DR parameters for the active cluster</strong></p>
+<ol start="4" id="mrs_01_1609__o754af4978d2944e1ab5a0c898fce1b4f"><li id="mrs_01_1609__lc1e37bc682aa4f1a84bdc415a3f65f1f"><span>Determine whether to enable the BulkLoad batch data writing DR function.</span><p><p id="mrs_01_1609__a87708b80e96c41f78e5e2afc2def450f">If yes, go to <a href="#mrs_01_1609__l4716d1d3802e4b24ba3b3b49cf396866">5</a>.</p>
+<p id="mrs_01_1609__a81ba2436ca8a492bb53cbacb1a4e88de">If no, go to <a href="#mrs_01_1609__l3a38ddf2af1b455995b7223d0fe94c23">8</a>.</p>
+</p></li><li id="mrs_01_1609__l4716d1d3802e4b24ba3b3b49cf396866"><a name="mrs_01_1609__l4716d1d3802e4b24ba3b3b49cf396866"></a><a name="l4716d1d3802e4b24ba3b3b49cf396866"></a><span>Choose <strong id="mrs_01_1609__b577410521578">Cluster</strong> &gt; <em id="mrs_01_1609__i3774115275720">Name of the desired cluster</em> &gt; <strong id="mrs_01_1609__b147741752165717">Services</strong> &gt; <strong id="mrs_01_1609__b177595265717">HBase</strong> &gt; <strong id="mrs_01_1609__b1877585255720">Configurations</strong> and click <strong id="mrs_01_1609__b277595295711">All Configurations</strong>. The HBase configuration page is displayed.</span></li><li id="mrs_01_1609__le6a5bd0597304b0fab360da08bf2f337"><span>Search for <strong id="mrs_01_1609__b17529165815710">hbase.replication.bulkload.enabled</strong> and change its value to <strong id="mrs_01_1609__b3777824185819">true</strong> to enable the BulkLoad batch data writing DR function.</span></li><li id="mrs_01_1609__l50fef15c044c4d74a689d50b5993ad5a"><span>Search for <strong id="mrs_01_1609__b544523605816">hbase.replication.cluster.id</strong> and change the HBase ID of the active cluster. The ID is used by the standby cluster to connect to the active cluster. The value can contain uppercase letters, lowercase letters, digits, and underscores (_), and cannot exceed 30 characters.</span></li></ol>
+<p id="mrs_01_1609__a1e2f9c187239482baad8056ffe9c357e"><strong id="mrs_01_1609__b61481410185915">Restarting the HBase service and install the client</strong></p>
+<ol start="8" id="mrs_01_1609__o4abf0555d68d430ca0b851d46720e19f"><li id="mrs_01_1609__l3a38ddf2af1b455995b7223d0fe94c23"><a name="mrs_01_1609__l3a38ddf2af1b455995b7223d0fe94c23"></a><a name="l3a38ddf2af1b455995b7223d0fe94c23"></a><span>Click <strong id="mrs_01_1609__b146710115591">Save</strong>. In the displayed dialog box, click <strong id="mrs_01_1609__b17606412195914">OK</strong>. Restart the HBase service.</span></li><li id="mrs_01_1609__ld41c100d760b4f43aeea74735b353151"><span>In the active and standby clusters, choose <strong id="mrs_01_1609__b264394511595">Cluster</strong> &gt; <strong id="mrs_01_1609__b14643445175915"><em id="mrs_01_1609__i146378368594">Name of the desired cluster</em></strong> &gt; <strong id="mrs_01_1609__b19313161135020">Service</strong> &gt; <strong id="mrs_01_1609__b331374205019">HBase</strong> &gt; <strong id="mrs_01_1609__b931311635010">More</strong> &gt; <strong id="mrs_01_1609__b148097910509">Download Client</strong> to download the client and install it.</span></li></ol>
+<p id="mrs_01_1609__aa96d7a217b7a4ae19e7fc2799f9a9beb"><strong id="mrs_01_1609__b17565010703">Adding the DR relationship between the active and standby clusters</strong></p>
+<ol start="10" id="mrs_01_1609__o2746b5cf2a7e451a95062a256c22d9a7"><li id="mrs_01_1609__l0b0687211a0f40a8a4a2df198c89dca3"><span>Log in as user <strong id="mrs_01_1609__b115941179017">hbase</strong> to the HBase shell page of the active cluster.</span></li><li id="mrs_01_1609__l81439b113e2c4682a786fed2933688fd"><span>Run the following command on HBase Shell to create the DR synchronization relationship between the active cluster HBase and the standby cluster HBase.</span><p><p id="mrs_01_1609__a5628bb024b5f41579912352b48da0201"><strong id="mrs_01_1609__b7267111064116">add_peer '</strong><em id="mrs_01_1609__i2027218105411">Standby cluster ID</em><strong id="mrs_01_1609__b93661413124116">', CLUSTER_KEY =&gt; "</strong><em id="mrs_01_1609__i2373111311411">ZooKeeper service IP address in the standby cluster </em><strong id="mrs_01_1609__b08021874112">", CONFIG =&gt; {"hbase.regionserver.kerberos.principal" =&gt; "</strong><em id="mrs_01_1609__i148512183411">Standby cluster RegionServer principal</em><strong id="mrs_01_1609__b12323121104111">", "hbase.master.kerberos.principal" =&gt; "</strong><em id="mrs_01_1609__i1032913212413">Standby cluster HMaster principal</em><strong id="mrs_01_1609__b2323162112413">"}</strong></p>
+<ul id="mrs_01_1609__ub0646755d54840cb97aa19f19a2fff71"><li id="mrs_01_1609__ld623da1f32c34ef5840882e4894835c0">The standby cluster ID indicates the ID for the active cluster to recognize the standby cluster. Enter an ID. The value can be specified randomly. Digits are recommended.</li><li id="mrs_01_1609__l5539cc359e2e4b0dbe1a786bb7ad9ff8">The ZooKeeper address of the standby cluster includes the service IP address of ZooKeeper, the port for listening to client connections, and the HBase root directory of the standby cluster on ZooKeeper.</li><li id="mrs_01_1609__li174704313017">Search for <strong id="mrs_01_1609__b81962091215">hbase.master.kerberos.principal</strong> and <strong id="mrs_01_1609__b34271987128">hbase.regionserver.kerberos.principal</strong> in the HBase <strong id="mrs_01_1609__b977114148122">hbase-site.xml</strong> configuration file of the standby cluster.</li></ul>
+<p id="mrs_01_1609__p8988123120393">For example, to add the DR relationship between the active and standby clusters, run the <strong id="mrs_01_1609__b11489174334010">add_peer '</strong><em id="mrs_01_1609__i1049744320405">Standby cluster ID</em><strong id="mrs_01_1609__b34911743134012">', CLUSTER_KEY =&gt; "<em id="mrs_01_1609__i14917435404">192.168.40.2,192.168.40.3,192.168.40.4:24002:/hbase</em>", CONFIG =&gt; {"hbase.regionserver.kerberos.principal" =&gt; "<em id="mrs_01_1609__i5491743114011">hbase/hadoop.hadoop.com@HADOOP.COM</em>", "hbase.master.kerberos.principal" =&gt; "<em id="mrs_01_1609__i12491124384014">hbase/hadoop.hadoop.com@HADOOP.COM</em>"}</strong></p>
+</p></li><li id="mrs_01_1609__li94881558184110"><span>(Optional) If the BulkLoad batch data write DR function is enabled, the HBase client configuration of the active cluster must be copied to the standby cluster.</span><p><ul id="mrs_01_1609__ul380103319465"><li id="mrs_01_1609__li1880119338462">Create the <strong id="mrs_01_1609__b1226121071619">/hbase/replicationConf/</strong><em id="mrs_01_1609__i1664011211813"><strong id="mrs_01_1609__b01887122180">hbase.replication.cluster.id of the active cluster</strong></em> directory in the HDFS of the standby cluster.</li><li id="mrs_01_1609__li196701236194610">HBase client configuration file, which is copied to the <strong id="mrs_01_1609__b48516151739">/hbase/replicationConf/<em id="mrs_01_1609__i2323142518311">hbase.replication.cluster.id of the active cluster</em></strong> directory of the HDFS of the standby cluster.<p id="mrs_01_1609__p519422419484">Example: <strong id="mrs_01_1609__b388015861917">hdfs dfs -put HBase/hbase/conf/core-site.xml HBase/hbase/conf/hdfs-site.xml HBase/hbase/conf/yarn-site.xml hdfs://<em id="mrs_01_1609__i647961771910">NameNode IP</em>:<em id="mrs_01_1609__i885752320194">25000</em>/hbase/replicationConf/<em id="mrs_01_1609__i155299303199">source_cluster</em></strong></p>
+</li></ul>
+</p></li></ol>
+<p id="mrs_01_1609__a2d134292236e40c99e20864e71abb9a3"><strong id="mrs_01_1609__b1367131918515">Enabling HBase DR to synchronize data</strong></p>
+<ol start="13" id="mrs_01_1609__ol154511151013"><li id="mrs_01_1609__li6545181518111"><span>Check whether a naming space exists in the HBase service instance of the standby cluster and the naming space has the same name as the naming space of the HBase table for which the DR function is to be enabled.</span><p><ul id="mrs_01_1609__ul135453151118"><li id="mrs_01_1609__li354516151911">If the same namespace exists, go to <a href="#mrs_01_1609__li254519151517">14</a>.</li><li id="mrs_01_1609__li454520159113">If no, create a naming space with the same name in the HBase shell of the standby cluster and go to <a href="#mrs_01_1609__li254519151517">14</a>.</li></ul>
+</p></li><li id="mrs_01_1609__li254519151517"><a name="mrs_01_1609__li254519151517"></a><a name="li254519151517"></a><span>In the HBase shell of the active cluster, run the following command as user <strong id="mrs_01_1609__b176005351353">hbase</strong> to enable the real-time DR function for the table data of the active cluster to ensure that the data modified in the active cluster can be synchronized to the standby cluster in real time.</span><p><p id="mrs_01_1609__p165452152011">You can only synchronize the data of one HTable at a time.</p>
+<p id="mrs_01_1609__p354514151910"><strong id="mrs_01_1609__b236218391756">enable_table_replication '</strong><em id="mrs_01_1609__i5362103915511">table name</em><strong id="mrs_01_1609__b208179551758">'</strong></p>
+<div class="note" id="mrs_01_1609__note25451615811"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1609__ul20545815818"><li id="mrs_01_1609__li1154510152119">If the standby cluster does not contain a table with the same name as the table for which real-time synchronization is to be enabled, the table is automatically created.</li><li id="mrs_01_1609__li454517153119">If a table with the same name as the table for which real-time synchronization is to be enabled exists in the standby cluster, the structures of the two tables must be the same.</li><li id="mrs_01_1609__li145450153119">If the encryption algorithm SMS4 or AES is configured for '<em id="mrs_01_1609__i13744039620">Table name</em>', the function for synchronizing data from the active cluster to the standby cluster cannot be enabled for the HBase table.</li><li id="mrs_01_1609__li9545615915">If the standby cluster is offline or has tables with the same name but different structures, the DR function cannot be enabled.</li><li id="mrs_01_1609__li75457151213">If the DR data synchronization function is enabled for some Phoenix tables in the active cluster, the standby cluster cannot have common HBase tables with the same names as the Phoenix tables in the active cluster. Otherwise, the DR function fails to be enabled or the tables with the names in the standby cluster cannot be used properly.</li><li id="mrs_01_1609__li554518158117">If the DR data synchronization function is enabled for Phoenix tables in the active cluster, you need to enable the DR data synchronization function for the metadata tables of the Phoenix tables. The metadata tables include SYSTEM.CATALOG, SYSTEM.FUNCTION, SYSTEM.SEQUENCE, and SYSTEM.STATS.</li><li id="mrs_01_1609__li554516152118">If the DR data synchronization function is enabled for HBase tables of the active cluster, after adding new indexes to HBase tables, you need to manually add secondary indexes to DR tables in the standby cluster to ensure secondary index consistency between the active and standby clusters.</li><li id="mrs_01_1609__li45456152017">The HBase multi-instance function also supports DR. You need to modify the parameters on the HBase service instance that corresponds to the standby cluster and run the commands on the clients of multiple instances. When adding the DR relationship, you need to select the directory, such as <strong id="mrs_01_1609__b5958217563">hbase1</strong>, for ZooKeeper of the standby cluster to store HBase multi-instance data.</li></ul>
+</div></div>
+</p></li><li id="mrs_01_1609__li1354518150116"><span>(Optional) If HBase does not use Ranger, run the following command as user <strong id="mrs_01_1609__b452751918612">hbase</strong> in the HBase shell of the active cluster to enable the real-time permission to control data DR function for the HBase tables in the active cluster.</span><p><p id="mrs_01_1609__p85451815415"><strong id="mrs_01_1609__b1654551516120">enable_table_replication 'hbase:acl'</strong></p>
+</p></li></ol>
+<p id="mrs_01_1609__a2b54e21471444bc289d70a09b0724dce"><strong id="mrs_01_1609__b14735152119617">Creating Users</strong></p>
+<ol start="16" id="mrs_01_1609__ol145314189112"><li id="mrs_01_1609__li184535181311"><span>Log in to FusionInsight Manager of the standby cluster, choose <strong id="mrs_01_1609__b199915226618">System</strong> &gt; <strong id="mrs_01_1609__b99993221365">Permission</strong> &gt; <strong id="mrs_01_1609__b14999522561">Role</strong> &gt; <strong id="mrs_01_1609__b12999122768">Create Role</strong> to create a role, and add the same permission for the standby data table to the role based on the permission of the HBase source data table of the active cluster.</span></li><li id="mrs_01_1609__li1245315181511"><span>Choose <strong id="mrs_01_1609__b137192513617">System</strong> &gt; <strong id="mrs_01_1609__b971102519617">Permission</strong> &gt; <strong id="mrs_01_1609__b197120251063">User</strong> &gt; <strong id="mrs_01_1609__b172425469">Create</strong> to create a user. Set the <strong id="mrs_01_1609__b3721425964">User Type</strong> to <strong id="mrs_01_1609__b5726257612">Human-Machine</strong> or <strong id="mrs_01_1609__b137242519617">Machine-Machine</strong> based on service requirements and add the user to the created role. Access the HBase DR data of the standby cluster as the newly created user.</span><p><div class="note" id="mrs_01_1609__note94531318812"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1609__ul1684614381891"><li id="mrs_01_1609__li11846103818914">After the permission of the active HBase source data table is modified, to ensure that the standby cluster can properly read data, modify the role permission for the standby cluster.</li><li id="mrs_01_1609__li198461738398">If the current component uses Ranger for permission control, you need to configure permission management policies based on Ranger. For details, see <a href="mrs_01_1857.html">Adding a Ranger Access Permission Policy for HBase</a>.</li></ul>
+</div></div>
+</p></li></ol>
+<p id="mrs_01_1609__p1053216181332"><strong id="mrs_01_1609__b1719545720610">Synchronizing the table data of the active cluster</strong></p>
+<ol start="18" id="mrs_01_1609__ol11511163715916"><li id="mrs_01_1609__li15511137185914"><span>After HBase DR is configured and data synchronization is enabled, check whether tables and data exist in the active cluster and whether the historical data needs to be synchronized to the standby cluster.</span><p><ul id="mrs_01_1609__ul8511113718597"><li id="mrs_01_1609__li651163715910">If yes, a table exists and data needs to be synchronized. Log in as the HBase table user to the node where the HBase client of the active cluster is installed and run the kinit username to authenticate the identity. The user must have the read and write permissions on tables and the execute permission on the <strong id="mrs_01_1609__b129121421574">hbase:meta</strong> table. Then go to <a href="#mrs_01_1609__li2511113725912">19</a>.</li><li id="mrs_01_1609__li1511103715593">If no, no further action is required.</li></ul>
+</p></li><li id="mrs_01_1609__li2511113725912"><a name="mrs_01_1609__li2511113725912"></a><a name="li2511113725912"></a><span>The HBase DR configuration does not support automatic synchronization of historical data in tables. You need to back up the historical data of the active cluster and then manually restore the historical data in the standby cluster.</span><p><p id="mrs_01_1609__p185111137155912">Manual recovery refers to the recovery of a single table, which can be performed through Export, DistCp, or Import.</p>
+<p id="mrs_01_1609__p151114373599">To manually recover a single table, perform the following steps:</p>
+<ol type="a" id="mrs_01_1609__ol1651117378595"><li id="mrs_01_1609__li1451163719595">Export table data from the active cluster.<p id="mrs_01_1609__p451118371592"><a name="mrs_01_1609__li1451163719595"></a><a name="li1451163719595"></a><strong id="mrs_01_1609__b173020426710">hbase org.apache.hadoop.hbase.mapreduce.Export -Dhbase.mapreduce.include.deleted.rows=true</strong> <em id="mrs_01_1609__i9351142075">Table name</em> <em id="mrs_01_1609__i16355428719">Directory where the source data is stored</em></p>
+<p id="mrs_01_1609__p13511113775918">Example: <strong id="mrs_01_1609__b1844213451378">hbase org.apache.hadoop.hbase.mapreduce.Export -Dhbase.mapreduce.include.deleted.rows=true t1 /user/hbase/t1</strong></p>
+</li><li id="mrs_01_1609__li1551114371598">Copy the data that has been exported to the standby cluster.<p id="mrs_01_1609__p851193775914"><a name="mrs_01_1609__li1551114371598"></a><a name="li1551114371598"></a><strong id="mrs_01_1609__b12227184816719">hadoop distcp</strong><em id="mrs_01_1609__i132283481776"> directory where the source data is stored on the active cluster </em><strong id="mrs_01_1609__b7228134817712">hdfs://</strong><em id="mrs_01_1609__i1022864814713">ActiveNameNodeIP:8020/directory where the source data is stored on the standby cluster</em></p>
+<p id="mrs_01_1609__p105111437155910"><strong id="mrs_01_1609__b38433261187">ActiveNameNodeIP</strong> indicates the IP address of the active NameNode in the standby cluster.</p>
+<p id="mrs_01_1609__p17511193785915">Example: <strong id="mrs_01_1609__b18867136380">hadoop distcp /user/hbase/t1 hdfs://192.168.40.2:8020/user/hbase/t1</strong></p>
+</li><li id="mrs_01_1609__li13511437175912">Import data to the standby cluster as the HBase table user of the standby cluster.<p id="mrs_01_1609__p5273102316719"><a name="mrs_01_1609__li13511437175912"></a><a name="li13511437175912"></a>On the HBase shell screen of the standby cluster, run the following command as user <strong id="mrs_01_1609__b15324121617513">hbase</strong> to retain the data writing status:</p>
+<p id="mrs_01_1609__p19560957818"><strong id="mrs_01_1609__b11560654815">set_clusterState_active</strong></p>
+<p id="mrs_01_1609__p9560452086">The command is run successfully if the following information is displayed:</p>
+<pre class="screen" id="mrs_01_1609__screen1456095389">hbase(main):001:0&gt; set_clusterState_active
+=&gt; true</pre>
+<p id="mrs_01_1609__p205119374592"><strong id="mrs_01_1609__b1364914551787">hbase org.apache.hadoop.hbase.mapreduce.Import</strong> <em id="mrs_01_1609__i1865413551282">-Dimport.bulk.output=Directory where the output data is stored in the standby cluster Table name Directory where the source data is stored in the standby cluster</em></p>
+<p id="mrs_01_1609__p10511123712596"><strong id="mrs_01_1609__b95327584813">hbase org.apache.hadoop.hbase.mapreduce.LoadIncrementalHFiles</strong> <em id="mrs_01_1609__i1753717589817">Directory where the output data is stored in the standby cluster Table name</em></p>
+<p id="mrs_01_1609__p162784011502">Example:</p>
+<pre class="screen" id="mrs_01_1609__screen10139141116371">hbase(main):001:0&gt; set_clusterState_active
+=&gt; true</pre>
+<p id="mrs_01_1609__p19511123775913"><strong id="mrs_01_1609__b1511113715598">hbase org.apache.hadoop.hbase.mapreduce.Import -Dimport.bulk.output=/user/hbase/output_t1 t1 /user/hbase/t1</strong></p>
+<p id="mrs_01_1609__p3511837135915"><strong id="mrs_01_1609__b12511123720591">hbase org.apache.hadoop.hbase.mapreduce.LoadIncrementalHFiles /user/hbase/output_t1 t1</strong></p>
+</li></ol>
+</p></li></ol><ol start="20" id="mrs_01_1609__ol1055864145914"><li id="mrs_01_1609__li14558144113594"><span>Run the following command on the HBase client to check the synchronized data of the active and standby clusters. After the DR data synchronization function is enabled, you can run this command to check whether the newly synchronized data is consistent.</span><p><p id="mrs_01_1609__p1555820412595"><strong id="mrs_01_1609__b79435615534">hbase org.apache.hadoop.hbase.mapreduce.replication.VerifyReplication --starttime</strong><em id="mrs_01_1609__i139535615312">=Start time</em> <strong id="mrs_01_1609__b1795125675318">--endtime</strong><em id="mrs_01_1609__i12955565538">=End time</em> <em id="mrs_01_1609__i10959566538">Column family name ID of the standby cluster Table name</em></p>
+<div class="note" id="mrs_01_1609__note35581641135913"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1609__ul25581041155916"><li id="mrs_01_1609__li19558114111591">The start time must be earlier than the end time.</li><li id="mrs_01_1609__li155581441125913">The values of <strong id="mrs_01_1609__b17506192017915">starttime</strong> and <strong id="mrs_01_1609__b95111720896">endtime</strong> must be in the timestamp format. You need to run <strong id="mrs_01_1609__b6512122016911">date -d "2015-09-30 00:00:00" +%s to</strong> change a common time format to a timestamp format.</li></ul>
+</div></div>
+</p></li></ol>
+<p id="mrs_01_1609__p6181055105614"><strong id="mrs_01_1609__b8921722193">Specify the data writing status for the active and standby clusters.</strong></p>
+<ol start="21" id="mrs_01_1609__ol048054495910"><li id="mrs_01_1609__li114809449590"><span>On the HBase shell screen of the active cluster, run the following command as user <strong id="mrs_01_1609__b177212246914">hbase</strong> to retain the data writing status:</span><p><p id="mrs_01_1609__p13480124415595"><strong id="mrs_01_1609__b13480344195917">set_clusterState_active</strong></p>
+<p id="mrs_01_1609__p154804444591">The command is run successfully if the following information is displayed:</p>
+<pre class="screen" id="mrs_01_1609__screen348015447599">hbase(main):001:0&gt; set_clusterState_active
+=&gt; true</pre>
+</p></li><li id="mrs_01_1609__li848074419591"><span>On the HBase shell screen of the standby cluster, run the following command as user <strong id="mrs_01_1609__b13809428593">hbase</strong> to retain the data read-only status:</span><p><p id="mrs_01_1609__p94801644175910"><strong id="mrs_01_1609__b104801244125912">set_clusterState_standby</strong></p>
+<p id="mrs_01_1609__p11480134416592">The command is run successfully if the following information is displayed:</p>
+<pre class="screen" id="mrs_01_1609__screen448074419591">hbase(main):001:0&gt; set_clusterState_standby
+=&gt; true</pre>
+</p></li></ol>
+<div class="section" id="mrs_01_1609__sdba7303bedcf49e18e191e7212d6133e"><h4 class="sectiontitle">Related Commands</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1609__t0185085179054e1bbb7dc8a7dda9f276" frame="border" border="1" rules="all"><caption><b>Table 2 </b>HBase DR</caption><thead align="left"><tr id="mrs_01_1609__r11d088991b56459fbe300119ab9470a4"><th align="left" class="cellrowborder" valign="top" width="15.661566156615661%" id="mcps1.3.21.2.2.4.1.1"><p id="mrs_01_1609__aa4b600e723c34c2aa1297762472aa7b3">Operation</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="41.7941794179418%" id="mcps1.3.21.2.2.4.1.2"><p id="mrs_01_1609__a4abf120c1bce4affaa022a7ce06897c5">Command</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="42.544254425442546%" id="mcps1.3.21.2.2.4.1.3"><p id="mrs_01_1609__a55600d78518048049863a23a65628482">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1609__r019e58433fe04a57a14e9c6d08594903"><td class="cellrowborder" valign="top" width="15.661566156615661%" headers="mcps1.3.21.2.2.4.1.1 "><p id="mrs_01_1609__a80fcbf67f0124378aa1a9d4de1cce457">Set up a DR relationship.</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.7941794179418%" headers="mcps1.3.21.2.2.4.1.2 "><p id="mrs_01_1609__p09825370288">add_peer'<em id="mrs_01_1609__i1871424822115">Standby cluster ID</em>', CLUSTER_KEY =&gt; "<em id="mrs_01_1609__i7508135512119">Standby cluster ZooKeeper service IP address</em>", CONFIG =&gt; {"hbase.regionserver.kerberos.principal" =&gt; "<em id="mrs_01_1609__i159404913225">Standby cluster RegionServer principal</em>", "hbase.master.kerberos.principal" =&gt; "<em id="mrs_01_1609__i1043821872219">Standby cluster HMaster principal</em>"}</p>
+<p id="mrs_01_1609__a9f528b3a0f73456d8370b96aed8a0b08"><strong id="mrs_01_1609__aea9caca5c40f4e9598ed226b73b0dde1">add_peer '1','zk1,zk2,zk3:2181:/hbase1'</strong></p>
+<p id="mrs_01_1609__ab18a7bd5056e49cf9a18746f1d3f3038"><strong id="mrs_01_1609__b175961643445">2181</strong>: port number of ZooKeeper in the cluster</p>
+</td>
+<td class="cellrowborder" valign="top" width="42.544254425442546%" headers="mcps1.3.21.2.2.4.1.3 "><p id="mrs_01_1609__aba3ce6668ae24b688afc71b9da3a4e0f">Set up the relationship between the active cluster and the standby cluster.</p>
+<p id="mrs_01_1609__p1997762453111">If BulkLoad batch data write DR is enabled:</p>
+<ul id="mrs_01_1609__ul770924733013"><li id="mrs_01_1609__li1470904712303">Create the <strong id="mrs_01_1609__b1277710182313">/hbase/replicationConf/<em id="mrs_01_1609__i227512542318">hbase.replication.cluster.id of the active cluster</em></strong> directory in the HDFS of the standby cluster.</li><li id="mrs_01_1609__li171012477300">HBase client configuration file, which is copied to the <strong id="mrs_01_1609__b102011853430">/hbase/replicationConf/<em id="mrs_01_1609__i131969534313">hbase.replication.cluster.id of the active cluster</em></strong> directory of the HDFS of the standby cluster.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_1609__rc1f75bba69114834a2b9af19003c5ab4"><td class="cellrowborder" valign="top" width="15.661566156615661%" headers="mcps1.3.21.2.2.4.1.1 "><p id="mrs_01_1609__adb10a1dd7bec4608b7a8386e8301ef46">Remove the DR relationship.</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.7941794179418%" headers="mcps1.3.21.2.2.4.1.2 "><p id="mrs_01_1609__a663f8cac9a284145b95f689ad0884968"><strong id="mrs_01_1609__b9799122381017">remove_peer</strong> <em id="mrs_01_1609__i980414231105">'Standby cluster ID'</em></p>
+<p id="mrs_01_1609__a207cdd227b114a83b1809ab117f668d6">Example:</p>
+<p id="mrs_01_1609__a43bd727f8146439e816c40505c8a7b29"><strong id="mrs_01_1609__a4902dce1c1f941939181c94a524486b7">remove_peer '1'</strong></p>
+</td>
+<td class="cellrowborder" valign="top" width="42.544254425442546%" headers="mcps1.3.21.2.2.4.1.3 "><p id="mrs_01_1609__a7f902a16df514b44b2fe4d8f4e1cd4e2">Remove standby cluster information from the active cluster.</p>
+</td>
+</tr>
+<tr id="mrs_01_1609__rd585d7beb25f4ec7b5e20f0061da161b"><td class="cellrowborder" valign="top" width="15.661566156615661%" headers="mcps1.3.21.2.2.4.1.1 "><p id="mrs_01_1609__aa007fcaf2fab45d7a6a4db8778ba4922">Querying the DR Relationship</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.7941794179418%" headers="mcps1.3.21.2.2.4.1.2 "><p id="mrs_01_1609__ad696c631513c43dbaec5cd37531028b1"><strong id="mrs_01_1609__a7d63d4126eaf435e8e1e1c224add5c20">list_peers</strong></p>
+</td>
+<td class="cellrowborder" valign="top" width="42.544254425442546%" headers="mcps1.3.21.2.2.4.1.3 "><p id="mrs_01_1609__a3ba74dafdbdc42079b035ed8dc2767f9">Query standby cluster information (mainly Zookeeper information) in the active cluster.</p>
+</td>
+</tr>
+<tr id="mrs_01_1609__rf805328c9bef471a8dc75c5734f3797a"><td class="cellrowborder" valign="top" width="15.661566156615661%" headers="mcps1.3.21.2.2.4.1.1 "><p id="mrs_01_1609__a410271a04041430cbd3fdb7ebe04ce72">Enable the real-time user table synchronization function.</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.7941794179418%" headers="mcps1.3.21.2.2.4.1.2 "><p id="mrs_01_1609__adc78874d9b304847aa85c9f8dca76d0d"><strong id="mrs_01_1609__b10183133471019">enable_table_replication</strong> <em id="mrs_01_1609__i4188173410109">'Table name'</em></p>
+<p id="mrs_01_1609__a22fe66640737475c9c0337470bbb2fad">Example:</p>
+<p id="mrs_01_1609__adf76cc5c495f44d28aba29cf2aea04a3"><strong id="mrs_01_1609__a60260d4b7a1748d78819d6db78a60714">enable_table_replication 't1'</strong></p>
+</td>
+<td class="cellrowborder" valign="top" width="42.544254425442546%" headers="mcps1.3.21.2.2.4.1.3 "><p id="mrs_01_1609__a5465f2a27a01414888b5ef1cb274a776">Synchronize user tables from the active cluster to the standby cluster.</p>
+</td>
+</tr>
+<tr id="mrs_01_1609__r5b8556df96844800a85d1f473d06a70e"><td class="cellrowborder" valign="top" width="15.661566156615661%" headers="mcps1.3.21.2.2.4.1.1 "><p id="mrs_01_1609__a9a4727c180404ac79cc6c9f95daac8d1">Disable the real-time user table synchronization function.</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.7941794179418%" headers="mcps1.3.21.2.2.4.1.2 "><p id="mrs_01_1609__a4786b68b8011429780f01c4708ee5407"><strong id="mrs_01_1609__b03691840171017">disable_table_replication</strong> <em id="mrs_01_1609__i18374124019100">'Table name'</em></p>
+<p id="mrs_01_1609__ad3cc836e654c4ea089345495d00408fb">Example:</p>
+<p id="mrs_01_1609__ade54b44109e9471c8d48001f75717752"><strong id="mrs_01_1609__a217bec93c7984aabb202d4120aabb02d">disable_table_replication 't1'</strong></p>
+</td>
+<td class="cellrowborder" valign="top" width="42.544254425442546%" headers="mcps1.3.21.2.2.4.1.3 "><p id="mrs_01_1609__ac3e5d4a1c334409fb361efdc6deaeec0">Do not synchronize user tables from the active cluster to the standby cluster.</p>
+</td>
+</tr>
+<tr id="mrs_01_1609__r6c8a81e3fe06468a8201a91eb90168de"><td class="cellrowborder" valign="top" width="15.661566156615661%" headers="mcps1.3.21.2.2.4.1.1 "><p id="mrs_01_1609__aa1c93ce57f8f4322a3fc7ad24c71f8df">Verify data of the active and standby clusters.</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.7941794179418%" headers="mcps1.3.21.2.2.4.1.2 "><p id="mrs_01_1609__adbda98bb0fcf4d6cb326f21f30bf7944"><strong id="mrs_01_1609__b137411345201012">bin/hbase org.apache.hadoop.hbase.mapreduce.replication.VerifyReplication --starttime=</strong><em id="mrs_01_1609__i974684518106">Start time</em> <strong id="mrs_01_1609__b1674611450102">--endtime=</strong><em id="mrs_01_1609__i1746204561016">End time</em> <em id="mrs_01_1609__i2074724511010">Column family name Standby cluster ID Table name</em></p>
+</td>
+<td class="cellrowborder" valign="top" width="42.544254425442546%" headers="mcps1.3.21.2.2.4.1.3 "><p id="mrs_01_1609__a82035bf079c845189d8c566d677f6818">Verify whether data of the specified table is the same between the active cluster and the standby cluster.</p>
+<p id="mrs_01_1609__a535a5c523c0b4303adeca48feab8ece3">The description of the parameters in this command is as follows:</p>
+<ul id="mrs_01_1609__u8ab9cfc1c4da4101bc9ecdf00e30f657"><li id="mrs_01_1609__l1ed11f87ad164e449256688b42103892">Start time: If start time is not specified, the default value <strong id="mrs_01_1609__b1748250131012">0</strong> will be used.</li><li id="mrs_01_1609__l8dcf45b28f454d4f9f70468ab21add53">End time: If end time is not specified, the time when the current operation is submitted will be used by default.</li><li id="mrs_01_1609__l06ab7cbb8c104cb48d1f0ed1393fc819">Table name: If a table name is not entered, all user tables for which the real-time synchronization function is enabled will be verified by default.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_1609__r17fd21e3187e4bfcbba51f54a80b1058"><td class="cellrowborder" valign="top" width="15.661566156615661%" headers="mcps1.3.21.2.2.4.1.1 "><p id="mrs_01_1609__a0b7a050ca66043efbeebb86c554bf283">Switch the data writing status. </p>
+</td>
+<td class="cellrowborder" valign="top" width="41.7941794179418%" headers="mcps1.3.21.2.2.4.1.2 "><p id="mrs_01_1609__a0442737ddc524311874f74eff1370959"><strong id="mrs_01_1609__a89b707907c3945b6b076d2e4dd0ef479">set_clusterState_active</strong></p>
+<p id="mrs_01_1609__a1da8f782f97743f383f653391ea4b688"><strong id="mrs_01_1609__a402568340dad4721bc84820350a60680">set_clusterState_standby</strong></p>
+</td>
+<td class="cellrowborder" valign="top" width="42.544254425442546%" headers="mcps1.3.21.2.2.4.1.3 "><p id="mrs_01_1609__aa7f645f4104e4a6aac33268a86aee646">Specifies whether data can be written to the cluster HBase tables.</p>
+</td>
+</tr>
+<tr id="mrs_01_1609__rc4a5f0471eca49af84a65c74c6181361"><td class="cellrowborder" valign="top" width="15.661566156615661%" headers="mcps1.3.21.2.2.4.1.1 "><p id="mrs_01_1609__ad2e839a440274c38b1286cfe5cecab8b">Add or update the active cluster HDFS configurations saved in the peer cluster.</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.7941794179418%" headers="mcps1.3.21.2.2.4.1.2 "><p id="mrs_01_1609__a28c935a609ef4fe4b71e37129d6cc26c"><strong id="mrs_01_1609__b38701219112018">hdfs dfs -put  -f HBase/hbase/conf/core-site.xml HBase/hbase/conf/hdfs-site.xml HBase/hbase/conf/yarn-site.xml hdfs://</strong><em id="mrs_01_1609__i576471734719">Standby cluster</em> <strong id="mrs_01_1609__b229682332311"><em id="mrs_01_1609__i584702914235">NameNode</em></strong><strong id="mrs_01_1609__b143271110445"><em id="mrs_01_1609__i23278104412"> IP:PORT</em>/hbase/replicationConf/</strong><em id="mrs_01_1609__i11345141134414">Active cluster</em><strong id="mrs_01_1609__b4328415444"><em id="mrs_01_1609__i113281513441">hbase.replication.cluster.id</em></strong></p>
+</td>
+<td class="cellrowborder" valign="top" width="42.544254425442546%" headers="mcps1.3.21.2.2.4.1.3 "><p id="mrs_01_1609__af38c20969eea43398bf9b3c10a116477">Enable DR for data including bulkload data. When HDFS parameters are modified in the active cluster, the modification cannot be automatically synchronized from the active cluster to the standby cluster. You need to manually run the command to synchronize configuration. The affected parameters are as follows:</p>
+<ul id="mrs_01_1609__ue089a71081c94b0ba41ee09761d3422f"><li id="mrs_01_1609__l53a8b10142ed4128b27e604aea40f423">fs.defaultFS</li><li id="mrs_01_1609__lc584259bba5144659f7d1dc57bb303cb">dfs.client.failover.proxy.provider.hacluster</li><li id="mrs_01_1609__l16d9ed7668654a7682c68164ef27c4b8">dfs.client.failover.connection.retries.on.timeouts</li><li id="mrs_01_1609__lada30aef676c4069b7ae499039414382">dfs.client.failover.connection.retries</li></ul>
+<p id="mrs_01_1609__p1220035932012">For example, change <strong id="mrs_01_1609__b11137231142518">fs.defaultFS</strong> to <strong id="mrs_01_1609__b0671134192512">hdfs://hacluster_sale</strong>,</p>
+<p id="mrs_01_1609__p1299633218">HBase client configuration file, which is copied to the <strong id="mrs_01_1609__b14717103642">/hbase/replicationConf/<em id="mrs_01_1609__i147118312415">hbase.replication.cluster.id of the active cluster</em></strong> directory of the HDFS of the standby cluster.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0500.html">Using HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1610.html b/docs/mrs/component-operation-guide/mrs_01_1610.html
new file mode 100644
index 000000000..4eb08baa4
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1610.html
@@ -0,0 +1,32 @@
+<a name="mrs_01_1610"></a><a name="mrs_01_1610"></a>
+
+<h1 class="topictitle1">Performing an HBase DR Service Switchover</h1>
+<div id="body1595926919571"><div class="section" id="mrs_01_1610__s53289ebf94c4495bad6a7b5f0bdf4edb"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1610__a11ca6861b62a42bfadb318cdcb586f8a">The system administrator can configure HBase cluster DR to improve system availability. If the active cluster in the DR environment is faulty and the connection to the HBase upper-layer application is affected, you need to configure the standby cluster information for the HBase upper-layer application so that the application can run in the standby cluster.</p>
+<div class="note" id="mrs_01_1610__note1286611300323"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1610__p1486614300321">This section applies to MRS 3.<em id="mrs_01_1610__i12650162218579">x</em> or later clusters.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1610__se21cde50595c4286a16f821006c57ffd"><h4 class="sectiontitle">Impact on the System</h4><p id="mrs_01_1610__ab0bf68ac360e447cbaffb48376d0d2f7">After a service switchover, data written to the standby cluster is not synchronized to the active cluster by default. Add the active cluster is recovered, the data newly generated in the standby cluster needs to be synchronized to the active cluster by backup and recovery. If automatic data synchronization is required, you need to switch over the active and standby HBase DR clusters.</p>
+</div>
+<div class="section" id="mrs_01_1610__s1b489000fac747cfa292bbc1e0fe80d0"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1610__o88e8171f560c46ab84f94e643f479392"><li id="mrs_01_1610__lab44c6cc92c6417bb274c845c075c79f"><span>Log in to FusionInsight Manager of the standby cluster.</span></li><li id="mrs_01_1610__li1209125105510"><span>Download and install the HBase client.</span><p><p id="mrs_01_1610__li02102155617p0"></p>
+</p></li><li id="mrs_01_1610__l9f865e537a8c4d4f94496cdfe77caade"><span>On the HBase client of the standby cluster, run the following command as user <strong id="mrs_01_1610__b1250272631219">hbase</strong> to enable the data writing status in the standby cluster.</span><p><p id="mrs_01_1610__p1644914276106"><strong id="mrs_01_1610__b12585193313102">kinit hbase</strong></p>
+<p id="mrs_01_1610__p1512132017010"><strong id="mrs_01_1610__b125214341507">hbase shell</strong></p>
+<p id="mrs_01_1610__a9e7107897d6949c495e0394ea71a1161"><strong id="mrs_01_1610__aa076f38823c2474ab9f41a0eefb4c337">set_clusterState_active</strong></p>
+<p id="mrs_01_1610__a4650fcdc5a384afd9f340a3e1b42bf82">The command is run successfully if the following information is displayed:</p>
+<pre class="screen" id="mrs_01_1610__s8ce117dd30eb4c75a8e4c5804c41badd">hbase(main):001:0&gt; <strong id="mrs_01_1610__b12757818195512">set_clusterState_active</strong>
+=&gt; true</pre>
+</p></li><li id="mrs_01_1610__l70cd006f86114cd4bcbb939b9cdffc6b"><span>Check whether the original configuration files <strong id="mrs_01_1610__b692383331220">hbase-site.xml</strong>, <strong id="mrs_01_1610__b2929233141210">core-site.xml</strong>, and <strong id="mrs_01_1610__b592943320122">hdfs-site.xml</strong> of the HBase upper-layer application are modified to adapt to the application running.</span><p><ul id="mrs_01_1610__u1fabcac70f3f48f5b8932a240914de3f"><li id="mrs_01_1610__l3d3230245d884f23a37d48ca6dafc400">If yes, update the related content to the new configuration file and replace the old configuration file.</li><li id="mrs_01_1610__le5d47c6157094011880f555a39db9ac4">If no, use the new configuration file to replace the original configuration file of the HBase upper-layer application.</li></ul>
+</p></li><li id="mrs_01_1610__la7c3951697124b9a91a20859f1eec30a"><span>Configure the network connection between the host where the HBase upper-layer application is located and the standby cluster.</span><p><div class="note" id="mrs_01_1610__n56c21ae3253947cd892240d593002fad"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1610__aa5111a9ea6334ee8a354989471b7e845">If the host where the client is installed is not a node in the cluster, configure network connections for the client to prevent errors when you run commands on the client. </p>
+</div></div>
+<ol type="a" id="mrs_01_1610__o42fc897791654bf9bd34f92d3026d35b"><li id="mrs_01_1610__le67b73ab961d4d1b97500cb4991aa2bb">Ensure that the host where the client is installed can communicate with the hosts listed in the <strong id="mrs_01_1610__b1910415215135">hosts</strong> file in the directory where the client installation package is decompressed.</li><li id="mrs_01_1610__ld5309f18d0e94795bd6ea5adfe0bd8d3">If the host where the client is located is not a node in the cluster, you need to set the mapping between the host name and the IP address (service plan) in the /etc/hosts file on the host. The host names and IP addresses must be mapped one by one.</li></ol>
+</p></li><li id="mrs_01_1610__ldb9b97209031429fa6cf9d94b61877c9"><span>Set the time of the host where the HBase upper-layer application is located to be the same as that of the standby cluster. The time difference must be less than 5 minutes.</span></li><li id="mrs_01_1610__l7d05d130d8dd4e67bd8e5770965a701d"><span>Check the authentication mode of the active cluster.</span><p><ul id="mrs_01_1610__u5ff9846f3f794244abeaae88eff28cc1"><li id="mrs_01_1610__l09ee91301194478d8c7bf3dd1da1de4e">If the security mode is used, go to <a href="#mrs_01_1610__l5002f6a291d5455895e03939d56eae5c">8</a>.</li><li id="mrs_01_1610__lf4a605f10fa3496e830baa1e126d8c33">If the normal mode is used, no further action is required.</li></ul>
+</p></li><li id="mrs_01_1610__l5002f6a291d5455895e03939d56eae5c"><a name="mrs_01_1610__l5002f6a291d5455895e03939d56eae5c"></a><a name="l5002f6a291d5455895e03939d56eae5c"></a><span>Obtain the <strong id="mrs_01_1610__b5850415101312">keytab</strong> and <strong id="mrs_01_1610__b1985451551316">krb5.conf</strong> configuration files of the HBase upper-layer application user.</span><p><ol type="a" id="mrs_01_1610__o8139b15a3e3f4e88a9c4592bac92a3a8"><li id="mrs_01_1610__l1610a6c8025c4158a56594852dc62d25">On FusionInsight Manager of the standby cluster, choose <strong id="mrs_01_1610__b7257151771312">System</strong> &gt; <strong id="mrs_01_1610__b142571917161315">Permission</strong> &gt; <strong id="mrs_01_1610__b182581017171314">User</strong>.</li><li id="mrs_01_1610__l08d95a82993d43e4bea652b56dc0036d">Locate the row that contains the target user, click <strong id="mrs_01_1610__b22341207138">More</strong> &gt; <strong id="mrs_01_1610__b202355203137">Download Authentication Credential</strong> in the <strong id="mrs_01_1610__b0235220191318">Operation</strong> column, and download the <strong id="mrs_01_1610__b1023542014134">keytab</strong> file to the local PC.</li><li id="mrs_01_1610__la65be2d9ee98400da241693311264159">Decompress the package to obtain <strong id="mrs_01_1610__b1662113215135">user.keytab</strong> and <strong id="mrs_01_1610__b15621232181310">krb5.conf</strong>.</li></ol>
+</p></li><li id="mrs_01_1610__laaeda254bb514eb797bdc38b6e62d042"><span>Use the <strong id="mrs_01_1610__b57381234171310">user.keytab</strong> and <strong id="mrs_01_1610__b9743434151312">krb5.conf</strong> files to replace the original files in the HBase upper-layer application.</span></li><li id="mrs_01_1610__li17121165113464"><span>Stop upper-layer applications. </span></li><li id="mrs_01_1610__li1658154616473"><span>Determine whether to switch over the active and standby HBase clusters. If the switchover is not performed, data will not be synchronized.</span><p><ul id="mrs_01_1610__ul61979576144039"><li id="mrs_01_1610__li36408381144039">If yes, switch over the active and standby HBase DR clusters. For details, see <a href="mrs_01_1611.html">Performing an HBase DR Active/Standby Cluster Switchover</a>. Then, go to <a href="#mrs_01_1610__li11189185214483">12</a>.</li><li id="mrs_01_1610__li34944263144039">If no, go to <a href="#mrs_01_1610__li11189185214483">12</a>.</li></ul>
+</p></li><li id="mrs_01_1610__li11189185214483"><a name="mrs_01_1610__li11189185214483"></a><a name="li11189185214483"></a><span>Start the upper-layer services.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0500.html">Using HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1611.html b/docs/mrs/component-operation-guide/mrs_01_1611.html
new file mode 100644
index 000000000..37260f0bc
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1611.html
@@ -0,0 +1,43 @@
+<a name="mrs_01_1611"></a><a name="mrs_01_1611"></a>
+
+<h1 class="topictitle1">Performing an HBase DR Active/Standby Cluster Switchover</h1>
+<div id="body1595926919575"><div class="section" id="mrs_01_1611__s53289ebf94c4495bad6a7b5f0bdf4edb"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1611__a11ca6861b62a42bfadb318cdcb586f8a">The HBase cluster in the current environment is a DR cluster. Due to some reasons, the active and standby clusters need to be switched over. That is, the standby cluster becomes the active cluster, and the active cluster becomes the standby cluster.</p>
+<div class="note" id="mrs_01_1611__note1286611300323"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1611__p1486614300321">This section applies to MRS 3.<em id="mrs_01_1611__i1358183035712">x</em> or later clusters.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1611__se21cde50595c4286a16f821006c57ffd"><h4 class="sectiontitle">Impact on the System</h4><p id="mrs_01_1611__ab0bf68ac360e447cbaffb48376d0d2f7">After the active and standby clusters are switched over, data cannot be written to the original active cluster, and the original standby cluster becomes the active cluster to take over upper-layer services.</p>
+</div>
+<div class="section" id="mrs_01_1611__s1b489000fac747cfa292bbc1e0fe80d0"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1611__p107301018317"><strong id="mrs_01_1611__b5366133319148">Ensuring that upper-layer services are stopped</strong></p>
+<ol id="mrs_01_1611__ol11575343141213"><li id="mrs_01_1611__li15575134315124"><span>Ensure that the upper-layer services have been stopped. If not, perform operations by referring to <a href="mrs_01_1610.html">Performing an HBase DR Service Switchover</a>.</span></li></ol>
+<p id="mrs_01_1611__p17204203781220"><strong id="mrs_01_1611__b19124195315146">Disabling the write function of the active cluster</strong></p>
+<ol start="2" id="mrs_01_1611__ol1613349866"><li id="mrs_01_1611__li1209125105510"><span>Download and install the HBase client.</span><p><p id="mrs_01_1611__li02102155617p0"></p>
+</p></li><li id="mrs_01_1611__li9613194914620"><span>On the HBase client of the standby cluster, run the following command as user <strong id="mrs_01_1611__b1411624012157">hbase</strong> to disable the data write function of the standby cluster:</span><p><p id="mrs_01_1611__p9442713131011"><strong id="mrs_01_1611__b1457820151017">kinit hbase</strong></p>
+<p id="mrs_01_1611__p141344525917"><strong id="mrs_01_1611__b14134165211917">hbase shell</strong></p>
+<p id="mrs_01_1611__p261319492069"><strong id="mrs_01_1611__b10171115212107">set_clusterState_standby</strong></p>
+<p id="mrs_01_1611__p861310498619">The command is run successfully if the following information is displayed:</p>
+<pre class="screen" id="mrs_01_1611__screen1361314491661">hbase(main):001:0&gt; <strong id="mrs_01_1611__b4387633161116">set_clusterState_standby</strong>
+=&gt; true</pre>
+</p></li></ol>
+<p id="mrs_01_1611__p38797546611"><strong id="mrs_01_1611__b111022412162">Checking whether the active/standby synchronization is complete</strong></p>
+<ol start="4" id="mrs_01_1611__ol15820612119"><li id="mrs_01_1611__li88208112111"><span>Run the following command to ensure that the current data has been synchronized (SizeOfLogQueue=0 and SizeOfLogToReplicate=0 are required). If the values are not 0, wait and run the following command repeatedly until the values are 0.</span><p><p id="mrs_01_1611__p5225090614597"><strong id="mrs_01_1611__b49611414597">status 'replication'</strong></p>
+</p></li></ol>
+<p id="mrs_01_1611__p6403123311131"><strong id="mrs_01_1611__b731817191612">Disabling synchronization between the active and standby clusters</strong></p>
+<ol start="5" id="mrs_01_1611__ol1613917551411"><li id="mrs_01_1611__li6138155111412"><span>Query all synchronization clusters and obtain the value of <strong id="mrs_01_1611__b1787118141611">PEER_ID</strong>.</span><p><p id="mrs_01_1611__p543958715158"><strong id="mrs_01_1611__b106835601521">list_peers</strong></p>
+</p></li><li id="mrs_01_1611__li413845131413"><span>Delete all synchronization clusters.</span><p><p id="mrs_01_1611__p5138125161418"><strong id="mrs_01_1611__b17911122218161">remove_peer</strong> <em id="mrs_01_1611__i49163222163">'Standby cluster ID'</em></p>
+<p id="mrs_01_1611__p3280458015219">Example:</p>
+<p id="mrs_01_1611__p14138145151410"><strong id="mrs_01_1611__b24261134101349">remove_peer </strong><em id="mrs_01_1611__i2167904315321"><strong id="mrs_01_1611__b5826295715321">'</strong>1<strong id="mrs_01_1611__b3241262615225">'</strong></em></p>
+</p></li><li id="mrs_01_1611__li61381851142"><span>Query all synchronized tables.</span><p><p id="mrs_01_1611__p3447385115238"><strong id="mrs_01_1611__b2562831315242">list_replicated_tables</strong></p>
+</p></li><li id="mrs_01_1611__li2013917581420"><span>Disable all synchronized tables queried in the preceding step.</span><p><p id="mrs_01_1611__p11139752142"><strong id="mrs_01_1611__b234043019166">disable_table_replication</strong> <em id="mrs_01_1611__i1634473020166">'Table name'</em></p>
+<p id="mrs_01_1611__p12139155131416">Example:</p>
+<p id="mrs_01_1611__p2231426515253"><strong id="mrs_01_1611__b2770004715311">disable_table_replication</strong><em id="mrs_01_1611__i4939490515314"> 't1'</em></p>
+</p></li></ol>
+<p id="mrs_01_1611__p277348111418"><strong id="mrs_01_1611__b1717973371620">Performing an active/standby switchover</strong></p>
+<ol start="9" id="mrs_01_1611__ol637205191417"><li id="mrs_01_1611__li20372451101410"><span>Reconfigure HBase DR. For details, see <a href="mrs_01_1609.html">Configuring HBase DR</a>.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0500.html">Using HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1612.html b/docs/mrs/component-operation-guide/mrs_01_1612.html
new file mode 100644
index 000000000..6d7ef9cd8
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1612.html
@@ -0,0 +1,11 @@
+<a name="mrs_01_1612"></a><a name="mrs_01_1612"></a>
+
+<h1 class="topictitle1">Community BulkLoad Tool</h1>
+<div id="body1595926919577"><p id="mrs_01_1612__a770cbc8aeba748f28f9913b64d450082">The Apache HBase official website provides the function of importing data in batches. For details, see the description of the <strong id="mrs_01_1612__b970042021710">Import</strong> and <strong id="mrs_01_1612__b4700620111714">ImportTsv</strong> tools at <a href="http://hbase.apache.org/2.2/book.html#tools" target="_blank" rel="noopener noreferrer">http://hbase.apache.org/2.2/book.html#tools</a>.</p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0500.html">Using HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1631.html b/docs/mrs/component-operation-guide/mrs_01_1631.html
new file mode 100644
index 000000000..81780c77b
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1631.html
@@ -0,0 +1,86 @@
+<a name="mrs_01_1631"></a><a name="mrs_01_1631"></a>
+
+<h1 class="topictitle1">Configuring the MOB</h1>
+<div id="body1595926919610"><div class="section" id="mrs_01_1631__s41b8247acf3e4146bebe6b5b93765ada"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1631__aabb7e957314d429fbf23c2dc15ba7520">In the actual application scenario, data in various sizes needs to be stored, for example, image data and documents. Data whose size is smaller than 10 MB can be stored in HBase. HBase can yield the best read-and-write performance for data whose size is smaller than 100 KB. If the size of data stored in HBase is greater than 100 KB or even reaches 10 MB and the same number of data files are inserted, the total data amount is large, causing frequent compaction and split, high CPU consumption, high disk I/O frequency, and low performance.</p>
+<p id="mrs_01_1631__a64720eae37334704a4d9d039fd8f005b">MOB data (100 KB to 10 MB data) is stored in a file system (such as the HDFS) in the HFile format. Files are centrally managed using the expiredMobFileCleaner and Sweeper tools. The addresses and size of files are stored in the HBase store as values. This greatly decreases the compaction and split frequency in HBase and improves performance.</p>
+<p id="mrs_01_1631__a4bf2f2601d15410a9a590569f3c2d6e4">The MOB function of HBase is enabled by default. For details about related configuration items, see <a href="#mrs_01_1631__t19912a272c204245856b9698b6f04877">Table 1</a>. To use the MOB function, you need to specify the MOB mode for storing data in the specified column family when creating a table or modifying table attributes.</p>
+<div class="note" id="mrs_01_1631__note3659121463219"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1631__p136601141326">This section applies to MRS 3.<em id="mrs_01_1631__i552253695715">x</em> or later clusters.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1631__s129a8df2bc2c4b7781cc67f6e76791e2"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_1631__a08d3b05ff6f04434bd2e2c9903347173">To enable the HBase MOB function, you need to specify the MOB mode for storing data in the specified column family when creating a table or modifying table attributes.</p>
+<p id="mrs_01_1631__a30df1eab0a2e4e75aba965cccd20926d">Use code to declare that the MOB mode for storing data is used:</p>
+<pre class="screen" id="mrs_01_1631__s7c9b20bb32314b61b11db677b4ffa138">HColumnDescriptor hcd = new HColumnDescriptor("f");
+hcd.setMobEnabled(true);</pre>
+<p id="mrs_01_1631__a44cac51216014593a01e2655ecb17bf5">Use code to declare that the MOB mode for storing data is used, the unit of MOB_THRESHOLD is byte: </p>
+<pre class="screen" id="mrs_01_1631__s461801da325b46d99e0ca4d3e068e067">hbase(main):009:0&gt; create 't3',{NAME =&gt; 'd', MOB_THRESHOLD =&gt; '102400', IS_MOB =&gt; 'true'}
+
+0 row(s) in 0.3450 seconds
+
+=&gt; Hbase::Table - t3
+hbase(main):010:0&gt; describe 't3'
+Table t3 is ENABLED
+
+
+t3
+
+
+COLUMN FAMILIES DESCRIPTION
+
+
+{NAME =&gt; 'd', MOB_THRESHOLD =&gt; '102400', VERSIONS =&gt; '1', KEEP_DELETED_CELLS =&gt; 'FALSE', DATA_BLOCK_ENCODING =&gt; 'NONE', 
+TTL =&gt; 'FOREVER', MIN_VERSIONS =&gt; '0', REPLICATION_SCOPE =&gt; '0', BLOOMFILTER =&gt; 'ROW',
+IN_MEMORY =&gt; 'false', IS_MOB =&gt; 'true', COMPRESSION =&gt; 'NONE', BLOCKCACHE =&gt; 'true', BLOCKSIZE =&gt; '65536'}
+
+1 row(s) in 0.0170 seconds</pre>
+<p id="mrs_01_1631__a292d08a633794c52ba454502219eb9cf"><strong id="mrs_01_1631__b55238534712">Navigation path for setting parameters:</strong></p>
+<p id="mrs_01_1631__a1fa98387a0aa40499cabb01faac56b00">On FusionInsight Manager, choose <strong id="mrs_01_1631__b537337114713">Cluster</strong> &gt; <em id="mrs_01_1631__i3374197164718">Name of the desired cluster</em> &gt; <strong id="mrs_01_1631__b19374167114711">Services</strong> &gt; <strong id="mrs_01_1631__b123754784718">HBase</strong> &gt; <strong id="mrs_01_1631__b33755764713">Configurations</strong> &gt; <strong id="mrs_01_1631__b237611754719">All Configurations</strong>. Enter a parameter name in the search box.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1631__t19912a272c204245856b9698b6f04877"></a><a name="t19912a272c204245856b9698b6f04877"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1631__t19912a272c204245856b9698b6f04877" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1631__r598e0b52166349a79d521c4eb3caa2b8"><th align="left" class="cellrowborder" valign="top" width="21.93%" id="mcps1.3.2.9.2.4.1.1"><p id="mrs_01_1631__a27bab144b84040c4ad9aaa8d999c4ad6">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="64.97%" id="mcps1.3.2.9.2.4.1.2"><p id="mrs_01_1631__a958ef2f4890e4efaba80f02ca1e8f144">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="13.100000000000001%" id="mcps1.3.2.9.2.4.1.3"><p id="mrs_01_1631__a953360a7cb9240cca9fd073738e03932">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1631__rca001a30438e4c07a05ae1c43079872d"><td class="cellrowborder" valign="top" width="21.93%" headers="mcps1.3.2.9.2.4.1.1 "><p id="mrs_01_1631__a77a874e66e884850aac19431555e2740">hbase.mob.file.cache.size</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.97%" headers="mcps1.3.2.9.2.4.1.2 "><p id="mrs_01_1631__ae37758a3cd934cc3be69f2851cccfe4c">Size of the opened file handle cache. If this parameter is set to a large value, more file handles can be cached, reducing the frequency of opening and closing files. However, if this parameter is set to a large value, too many file handles will be opened. The default value is <span class="parmvalue" id="mrs_01_1631__parmvalue916915416516"><b>1000</b></span>. This parameter is configured on the ResionServer.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.100000000000001%" headers="mcps1.3.2.9.2.4.1.3 "><p id="mrs_01_1631__a218c6bc3f69446d1a139c5f21baee31e">1000</p>
+</td>
+</tr>
+<tr id="mrs_01_1631__r537fc84c26bd49fba13e96cd9b962f22"><td class="cellrowborder" valign="top" width="21.93%" headers="mcps1.3.2.9.2.4.1.1 "><p id="mrs_01_1631__a330aefa2641e4a23881ceeea4ed1a575">hbase.mob.cache.evict.period</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.97%" headers="mcps1.3.2.9.2.4.1.2 "><p id="mrs_01_1631__p15768130175219">Expiration time of cached MOB files in the MOB cache, in seconds.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.100000000000001%" headers="mcps1.3.2.9.2.4.1.3 "><p id="mrs_01_1631__aaa5069b929a94067954d4a33e0e6d29a">3600</p>
+</td>
+</tr>
+<tr id="mrs_01_1631__r99f0b3f0ccac417ca9457802c2c4f244"><td class="cellrowborder" valign="top" width="21.93%" headers="mcps1.3.2.9.2.4.1.1 "><p id="mrs_01_1631__aeb0e9ebfbd8a4c26b04e2e6d151183f6">hbase.mob.cache.evict.remain.ratio</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.97%" headers="mcps1.3.2.9.2.4.1.2 "><p id="mrs_01_1631__afd8fde87ddca4daab98ae1033584ba7d">Ratio of the number of retained files after MOB cache reclamation to the number of cached files. <strong id="mrs_01_1631__b2412123142">hbase.mob.cache.evict.remain.ratio</strong> is an algorithm factor. When the number of cached MOB files reaches the product of <strong id="mrs_01_1631__b412542131611">hbase.mob.file.cache.size</strong> <strong id="mrs_01_1631__b12653475161">hbase.mob.cache.evict.remain.ratio</strong>, cache reclamation is triggered.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.100000000000001%" headers="mcps1.3.2.9.2.4.1.3 "><p id="mrs_01_1631__ac8e2f4490e764aefac943f8c41c66d3c">0.5</p>
+</td>
+</tr>
+<tr id="mrs_01_1631__r1a997584fd9b44089eff69d33e7534a4"><td class="cellrowborder" valign="top" width="21.93%" headers="mcps1.3.2.9.2.4.1.1 "><p id="mrs_01_1631__a24b7cb81e85649969df10974cc76016f">hbase.master.mob.ttl.cleaner.period</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.97%" headers="mcps1.3.2.9.2.4.1.2 "><p id="mrs_01_1631__a4cb6ae9caec64a63afe9ea16ed802075">Interval for deleting expired files, in seconds. The default value is one day (86,400 seconds).</p>
+<div class="note" id="mrs_01_1631__n19f719c740f54524aad995eef825a623"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1631__a0b30b2d8e3ca4701883abb44efc59a41">If the validity period of an MOB file expires, that is, the file has been created for more than 24 hours, the MOB file will be deleted by the tool for deleting expired MOB files.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="13.100000000000001%" headers="mcps1.3.2.9.2.4.1.3 "><p id="mrs_01_1631__ab8082b927a2048c8b7527d0d6c473694">86400</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0500.html">Using HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1636.html b/docs/mrs/component-operation-guide/mrs_01_1636.html
new file mode 100644
index 000000000..a5f6c4326
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1636.html
@@ -0,0 +1,42 @@
+<a name="mrs_01_1636"></a><a name="mrs_01_1636"></a>
+
+<h1 class="topictitle1">Improving the BulkLoad Efficiency</h1>
+<div id="body1595926919615"><div class="section" id="mrs_01_1636__sc9dfd4052a474b238112bfc35f39f30e"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1636__a653a0af268704f2697fcb43d7afa98a1">BulkLoad uses MapReduce jobs to directly generate files that comply with the internal data format of HBase, and then loads the generated StoreFiles to a running cluster. Compared with HBase APIs, BulkLoad saves more CPU and network resources.</p>
+<p id="mrs_01_1636__a5bb3f57630064401a4d72037fd0a9fc0">ImportTSV is an HBase table data loading tool.</p>
+<div class="note" id="mrs_01_1636__note3659121463219"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1636__p136601141326">This section applies to MRS 3.<em id="mrs_01_1636__i93983353510">x</em> and later versions.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1636__s48ef0970ce6f460d947d04cb3bc8a850"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_1636__a60123a6eb0d342c8a102b6ae6fa88829">When using BulkLoad, the output path of the file has been specified using the <span class="parmname" id="mrs_01_1636__parmname47821738855"><b>Dimporttsv.bulk.output</b></span> parameter.</p>
+</div>
+<div class="section" id="mrs_01_1636__s856b324e426443708e88208f943da204"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1636__aeeb187e2a38f4401acdd7df470bb10e5">Add the following parameter to the BulkLoad command when performing a batch loading task:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1636__t2ab511d7d6b24a3890065fb5d617aa83" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter for improving BulkLoad efficiency</caption><thead align="left"><tr id="mrs_01_1636__r88aeccb32c3a4817a1eeb268530a91ec"><th align="left" class="cellrowborder" valign="top" width="22.62%" id="mcps1.3.3.3.2.4.1.1"><p id="mrs_01_1636__a2f9f07352bb34119b82ce3cd36d32dc6">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="54.300000000000004%" id="mcps1.3.3.3.2.4.1.2"><p id="mrs_01_1636__a3707bff6bdac4fc5942f85e7a0ff799a">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="23.080000000000002%" id="mcps1.3.3.3.2.4.1.3"><p id="mrs_01_1636__a9545585db0a346e88bebe9d2878c21a2">Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1636__r4513599d05ec4afeb9e7fdcd1f818f1a"><td class="cellrowborder" valign="top" width="22.62%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1636__abd0af664492f4ea59b642a152477430f">-Dimporttsv.mapper.class</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.300000000000004%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1636__ad0a4c940285b4837bceee5f8ffe817fc">The construction of key-value pairs is moved from the user-defined mapper to reducer to improve performance. The mapper only needs to send the original text in each row to the reducer. The reducer parses the record in each row and creates a key-value) pair.</p>
+<div class="note" id="mrs_01_1636__nc2a7bbe9146e4935ba461978df01f0bf"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1636__a31718962b1174f26864f590b397abc23">When this parameter is set to <span class="parmvalue" id="mrs_01_1636__parmvalue13362125515512"><b>org.apache.hadoop.hbase.mapreduce.TsvImporterByteMapper</b></span>, this parameter is used only when the batch loading command without the <i><span class="varname" id="mrs_01_1636__varname536714554516">HBASE_CELL_VISIBILITY OR HBASE_CELL_TTL</span></i> option is executed. The <span class="parmvalue" id="mrs_01_1636__parmvalue1182811588514"><b>org.apache.hadoop.hbase.mapreduce.TsvImporterByteMapper</b></span> provides better performance.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="23.080000000000002%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1636__af1dd7b62ad964fa1b79dee3fa4f71002">org.apache.hadoop.hbase.mapreduce.TsvImporterByteMapper</p>
+<p id="mrs_01_1636__aff52d37ac1fc4e1c89857ee92241f744">and</p>
+<p id="mrs_01_1636__a3bf1f0964f2d441bb745dd77cc6c2cbe">org.apache.hadoop.hbase.mapreduce.TsvImporterTextMapper</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1013.html">HBase Performance Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1637.html b/docs/mrs/component-operation-guide/mrs_01_1637.html
new file mode 100644
index 000000000..1fd7d6fa6
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1637.html
@@ -0,0 +1,46 @@
+<a name="mrs_01_1637"></a><a name="mrs_01_1637"></a>
+
+<h1 class="topictitle1">Improving Put Performance</h1>
+<div id="body1595926919616"><div class="section" id="mrs_01_1637__sb2631049eb5546e3ae2111c23be5f28b"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1637__ab10d785b8c71494c9da03c94c0ea30ce">In the scenario where a large number of requests are continuously put, setting the following two parameters to <strong id="mrs_01_1637__b11605117613">false</strong> can greatly improve the Put performance.</p>
+<ul id="mrs_01_1637__ubdffdd76f13c43f2b1ae3480480a4c65"><li id="mrs_01_1637__leedcda5204f94fcd8bafcb5ea323e4e1"><span class="parmname" id="mrs_01_1637__pcd4aac4bc04945ce83e6dfa18903b1ef"><b>hbase.regionserver.wal.durable.sync</b></span></li></ul>
+<ul id="mrs_01_1637__ud7cf80db11404a0aad16422c5ab3db07"><li id="mrs_01_1637__l670085b9b00d4a7c9742d5aa731d1e74"><span class="parmname" id="mrs_01_1637__p6a8cb85e79a94bc8889038370d75d758"><b>hbase.regionserver.hfile.durable.sync</b></span></li></ul>
+<p id="mrs_01_1637__a359adf249b21408aa328d9ce98664840">When the performance is improved, there is a low probability that data is lost if three DataNodes are faulty at the same time. Exercise caution when configuring the parameters in scenarios that have high requirements on data reliability.</p>
+<div class="note" id="mrs_01_1637__note3659121463219"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1637__p136601141326">This section applies to MRS 3.<em id="mrs_01_1637__i151203181061">x</em> and later versions.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1637__saa9fac2860bb4ca18dd49083a760d7f4"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1637__a41016f49e3ac4c449635581f6f72c26f">Navigation path for setting parameters:</p>
+<p id="mrs_01_1637__a4c9b8872522e443e8c55e3a20ce82141">On FusionInsight Manager, choose <strong id="mrs_01_1637__b18383220616">Cluster</strong> &gt; <em id="mrs_01_1637__i194313221362">Name of the desired cluster</em> &gt; <strong id="mrs_01_1637__b0448223617">Services</strong> &gt; <strong id="mrs_01_1637__b544722067">HBase</strong> &gt; <strong id="mrs_01_1637__b4442221765">Configurations</strong> &gt; <strong id="mrs_01_1637__b24532216616">All Configurations</strong>. Enter the parameter name in the search box, and change the value.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1637__t68726932614346eb9b722c929a771fbf" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters for improving put performance</caption><thead align="left"><tr id="mrs_01_1637__r08ddd6edb28b4572bd0c0b3416e5ff47"><th align="left" class="cellrowborder" valign="top" width="36.15%" id="mcps1.3.2.4.2.4.1.1"><p id="mrs_01_1637__aa7f0e5e00cd0400fb8c31543fcb753b6">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="40.77%" id="mcps1.3.2.4.2.4.1.2"><p id="mrs_01_1637__a4961fdb56efc4fc98eedf9b958f5dd91">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="23.080000000000002%" id="mcps1.3.2.4.2.4.1.3"><p id="mrs_01_1637__a58db87fce9ea46ef88a0153c7ab07b9e">Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1637__r8d11b867636844b4a53faf85f10a47a4"><td class="cellrowborder" valign="top" width="36.15%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_1637__a29122d6ce31a43be91286e551fba13fa">hbase.wal.hsync</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.77%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_1637__abb668e06b72c4beba3729e5158e23c2b">Specifies whether to enable WAL file durability to make the WAL data persistence on disks. If this parameter is set to <strong id="mrs_01_1637__b229515252448">true</strong>, the performance is affected because each WAL file is synchronized to the disk by the Hadoop fsync.</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.080000000000002%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_1637__a88263ea88ee94d1b8fe7131f15b5608a">false</p>
+</td>
+</tr>
+<tr id="mrs_01_1637__r96ba8b4af7f24029a6b453cc4083fc01"><td class="cellrowborder" valign="top" width="36.15%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_1637__a16f1184ce657494db29daad4f8ca6b04">hbase.hfile.hsync</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.77%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_1637__accc3b5264c3f441990458b5be74a7916">Specifies whether to enable the HFile durability to make data persistence on disks. If this parameter is set to true, the performance is affected because each Hfile file is synchronized to the disk by the Hadoop fsync.</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.080000000000002%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_1637__a14b683cc3599497b9ce7cd4fd2653468">false</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1013.html">HBase Performance Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1638.html b/docs/mrs/component-operation-guide/mrs_01_1638.html
new file mode 100644
index 000000000..87361f83b
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1638.html
@@ -0,0 +1,64 @@
+<a name="mrs_01_1638"></a><a name="mrs_01_1638"></a>
+
+<h1 class="topictitle1">Common Issues About HBase</h1>
+<div id="body1596003892495"><p id="mrs_01_1638__p8060118"></p>
+</div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1639.html">Why Does a Client Keep Failing to Connect to a Server for a Long Time?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1640.html">Operation Failures Occur in Stopping BulkLoad On the Client</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1641.html">Why May a Table Creation Exception Occur When HBase Deletes or Creates the Same Table Consecutively?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1642.html">Why Other Services Become Unstable If HBase Sets up A Large Number of Connections over the Network Port?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1643.html">Why Does the HBase BulkLoad Task (One Table Has 26 TB Data) Consisting of 210,000 Map Tasks and 10,000 Reduce Tasks Fail?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1644.html">How Do I Restore a Region in the RIT State for a Long Time?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1645.html">Why Does HMaster Exits Due to Timeout When Waiting for the Namespace Table to Go Online?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1646.html">Why Does SocketTimeoutException Occur When a Client Queries HBase?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1647.html">Why Modified and Deleted Data Can Still Be Queried by Using the Scan Command?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1648.html">Why "java.lang.UnsatisfiedLinkError: Permission denied" exception thrown while starting HBase shell?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1649.html">When does the RegionServers listed under "Dead Region Servers" on HMaster WebUI gets cleared?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1650.html">Why Are Different Query Results Returned After I Use Same Query Criteria to Query Data Successfully Imported by HBase bulkload?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1651.html">What Should I Do If I Fail to Create Tables Due to the FAILED_OPEN State of Regions?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1652.html">How Do I Delete Residual Table Names in the /hbase/table-lock Directory of ZooKeeper?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1653.html">Why Does HBase Become Faulty When I Set a Quota for the Directory Used by HBase in HDFS?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1654.html">Why HMaster Times Out While Waiting for Namespace Table to be Assigned After Rebuilding Meta Using OfflineMetaRepair Tool and Startups Failed</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1655.html">Why Messages Containing FileNotFoundException and no lease Are Frequently Displayed in the HMaster Logs During the WAL Splitting Process?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1657.html">Insufficient Rights When a Tenant Accesses Phoenix</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1659.html">What Can I Do When HBase Fails to Recover a Task and a Message Is Displayed Stating "Rollback recovery failed"?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1660.html">How Do I Fix Region Overlapping?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1661.html">Why Does RegionServer Fail to Be Started When GC Parameters Xms and Xmx of HBase RegionServer Are Set to 31 GB?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0625.html">Why Does the LoadIncrementalHFiles Tool Fail to Be Executed and "Permission denied" Is Displayed When Nodes in a Cluster Are Used to Import Data in Batches?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2210.html">Why Is the Error Message "import argparse" Displayed When the Phoenix sqlline Script Is Used?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2211.html">How Do I Deal with the Restrictions of the Phoenix BulkLoad Tool?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2212.html">Why a Message Is Displayed Indicating that the Permission is Insufficient When CTBase Connects to the Ranger Plug-ins?</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0500.html">Using HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1639.html b/docs/mrs/component-operation-guide/mrs_01_1639.html
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+<a name="mrs_01_1639"></a><a name="mrs_01_1639"></a>
+
+<h1 class="topictitle1">Why Does a Client Keep Failing to Connect to a Server for a Long Time?</h1>
+<div id="body1596003893195"><div class="section" id="mrs_01_1639__sd82b9c0c037247aabb5321a1e7ed18be"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1639__a6e1b845967784fd494252d8a2ced08d1">A HBase server is faulty and cannot provide services. In this case, when a table operation is performed on the HBase client, why is the operation suspended and no response is received for a long time?</p>
+</div>
+<div class="section" id="mrs_01_1639__s96332255f086429687d761527a1e431a"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1639__acb0c1255808d42819e3929f7d4690019"><strong id="mrs_01_1639__b112001031141417">Problem Analysis</strong></p>
+<p id="mrs_01_1639__a50577e7015a74525b2014bee146b329b">When the HBase server malfunctions, the table operation request from the HBase client is tried for several times and times out. The default timeout value is <strong id="mrs_01_1639__b1521463371412">Integer.MAX_VALUE (2147483647 ms)</strong>. The table operation request is retired constantly during such a long period of time and is suspended at last. </p>
+<p id="mrs_01_1639__a66e8e2cf3b0140caadb514f273624a38"><strong id="mrs_01_1639__b7516160181517">Solution</strong></p>
+<p id="mrs_01_1639__ad39f292fa4ac42f5817ca91bf7511422">The HBase client provides two configuration items to configure the retry and timeout of the client. <a href="#mrs_01_1639__te9ce661d0c4a4745b801616b66b97321">Table 1</a> describes them.</p>
+<p id="mrs_01_1639__p194961522134110">Set the following parameters in the <strong id="mrs_01_1639__b92840315158"><em id="mrs_01_1639__i1559619167154">Client installation path</em></strong><strong id="mrs_01_1639__b4284113110153">/HBase/hbase/conf/hbase-site.xml</strong> configuration file:</p>
+
+<div class="tablenoborder"><a name="mrs_01_1639__te9ce661d0c4a4745b801616b66b97321"></a><a name="te9ce661d0c4a4745b801616b66b97321"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1639__te9ce661d0c4a4745b801616b66b97321" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Configuration parameters of retry and timeout</caption><thead align="left"><tr id="mrs_01_1639__r93caa06c3ffc4370b3538f052d469fad"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.7.2.4.1.1"><p id="mrs_01_1639__ac6f4c11f4ba84786af84013b0b53dfc0">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.7.2.4.1.2"><p id="mrs_01_1639__afee33631874f4ebaa64b2c7efc48a88e">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.7.2.4.1.3"><p id="mrs_01_1639__ab0e10dd3cdb0495d8dc80fdb3a72b8f7">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1639__rbb676fbe2cf8415aaff080b37af0c569"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.7.2.4.1.1 "><p id="mrs_01_1639__ae9c5a4e7663649168028f5a9c97f75b9">hbase.client.operation.timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.7.2.4.1.2 "><p id="mrs_01_1639__ad2b8fb519e3a4857a746e8d7ff8d6dfc">Client operation timeout period You need to manually add the information to the configuration file.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.7.2.4.1.3 "><p id="mrs_01_1639__af7c5218fecb745878bef6ff3281ac778">2147483647 ms</p>
+</td>
+</tr>
+<tr id="mrs_01_1639__r94e7da39cfa244b2813db784f10e63fa"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.7.2.4.1.1 "><p id="mrs_01_1639__a3a8b2826616f4f099814b372b84c6c14">hbase.client.retries.number</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.7.2.4.1.2 "><p id="mrs_01_1639__p174516569318">Maximum retry times supported by all retryable operations.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.7.2.4.1.3 "><p id="mrs_01_1639__a388c42b0afe94979ae41e4a7e8e61ac4">35</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1639__a1ba9f57525e84056a222530742ace420"><a href="#mrs_01_1639__fc7b1b6a1826d4b98bb68d1fd842512cb">Figure 1</a> describes the working principles of retry and timeout.</p>
+<div class="fignone" id="mrs_01_1639__fc7b1b6a1826d4b98bb68d1fd842512cb"><a name="mrs_01_1639__fc7b1b6a1826d4b98bb68d1fd842512cb"></a><a name="fc7b1b6a1826d4b98bb68d1fd842512cb"></a><span class="figcap"><b>Figure 1 </b>Process for HBase client operation retry timeout</span><br><span><img id="mrs_01_1639__i9da21f8daf1841deb2171654782ac889" src="en-us_image_0000001296090588.jpg"></span></div>
+<p id="mrs_01_1639__a01aafa740d014a2b98f35d1108b763cf">The process indicates that a suspension occurs if the preceding parameters are not configured based on site requirements. It is recommended that a proper timeout period be set based on scenarios. If the operation takes a long time, set a long timeout period. If the operation takes a shot time, set a short timeout period. The number of retries can be set to <span class="parmvalue" id="mrs_01_1639__parmvalue125605301917"><b>(hbase.client.retries.number)*60*1000(ms)</b></span>. The timeout period can be slightly greater than <span class="parmname" id="mrs_01_1639__parmname1864818514194"><b>hbase.client.operation.timeout</b></span>. </p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1638.html">Common Issues About HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1640.html b/docs/mrs/component-operation-guide/mrs_01_1640.html
new file mode 100644
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+<a name="mrs_01_1640"></a><a name="mrs_01_1640"></a>
+
+<h1 class="topictitle1">Operation Failures Occur in Stopping BulkLoad On the Client</h1>
+<div id="body1596003893196"><div class="section" id="mrs_01_1640__sedb9130033b948eebe961984204b43df"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1640__add4ff60959b143ed8dca0968a6991f26">Why submitted operations fail by stopping BulkLoad on the client during BulkLoad data importing?</p>
+</div>
+<div class="section" id="mrs_01_1640__s61ac3b4524f241fcb6a47ca4e153f2a5"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1640__a526634d68881455594c3c16a8040a072">When BulkLoad is enabled on the client, a partitioner file is generated and used to demarcate the range of Map task data inputting. The file is automatically deleted when BulkLoad exists on the client. In general, if all map tasks are enabled and running, the termination of BulkLoad on the client does not cause the failure of submitted operations. However, due to the retry and speculative execution mechanism of Map tasks, a Map task is performed again if failures of the Reduce task to download the data of the completed Map task exceed the limit. In this case, if BulkLoad already exists on the client, the retry Map task fails and the operation failure occurs because the partitioner file is missing. Therefore, it is recommended not to stop BulkLoad on the client during BulkLoad data importing.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1638.html">Common Issues About HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1641.html b/docs/mrs/component-operation-guide/mrs_01_1641.html
new file mode 100644
index 000000000..dc7eee78f
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@@ -0,0 +1,18 @@
+<a name="mrs_01_1641"></a><a name="mrs_01_1641"></a>
+
+<h1 class="topictitle1">Why May a Table Creation Exception Occur When HBase Deletes or Creates the Same Table Consecutively?</h1>
+<div id="body1596003893197"><div class="section" id="mrs_01_1641__s4b5762f5dd984668947bc8def30432b4"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1641__a6b593b69d83445dfb10513063850a577">When HBase consecutively deletes and creates the same table, why may a table creation exception occur?</p>
+</div>
+<div class="section" id="mrs_01_1641__sf06af5cef64c4079b5160391bf768eef"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1641__a2f417f6b885c49a9a616ac2f65a86b68">Execution process: Disable Table &gt; Drop Table &gt; Create Table &gt; Disable Table &gt; Drop Table &gt; And more</p>
+<ol id="mrs_01_1641__oe4bcea5f8d164343b55ee772eeea8fa5"><li id="mrs_01_1641__l90f9e4ffe2d44731a1a87b567ace80ef">When a table is disabled, HMaster sends an RPC request to RegionServer, and RegionServer brings the region offline. When the time required for closing a region on RegionServer exceeds the timeout period for HBase HMaster to wait for the region to enter the RIT state, HMaster considers that the region is offline by default. Actually, the region may be in the flush memstore phase.</li><li id="mrs_01_1641__l1cff8ecb25514f65ad2ba2e996085fbf">After an RPC request is sent to close a region, HMaster checks whether all regions in the table are offline. If the closure times out, HMaster considers that the regions are offline and returns a message indicating that the regions are successfully closed.</li><li id="mrs_01_1641__l82a720064a434f4bb3e331ecb322f83c">After the closure is successful, the data directory corresponding to the HBase table is deleted.</li><li id="mrs_01_1641__le391fe45f1254b54b0194ca7fc546343">After the table is deleted, the data directory is recreated by the region that is still in the flush memstore phase.</li><li id="mrs_01_1641__l46dffce1068e4fa4bb75d098ffdf2c2a">When the table is created again, the <strong id="mrs_01_1641__b150891451455013">temp</strong> directory is copied to the HBase data directory. However, the HBase data directory is not empty. As a result, when the HDFS rename API is called, the data directory changes to the last layer of the <strong id="mrs_01_1641__b111183808255013">temp</strong> directory and is appended to the HBase data directory, for example, <strong id="mrs_01_1641__b24206925155013">$rootDir/data/$nameSpace/$tableName/$tableName</strong>. In this case, the table fails to be created.</li></ol>
+<p id="mrs_01_1641__a1b032479719947dfb58801c86b997cb5"><strong id="mrs_01_1641__af7e8cbc896ca4549a2a74296311620a6">Troubleshooting Method</strong></p>
+<p id="mrs_01_1641__adfcda2a8d28c4c84bc505e59ac0adfd5">When this problem occurs, check whether the HBase data directory corresponding to the table exists. If it exists, rename the directory.</p>
+<p id="mrs_01_1641__a73fa21efd3d2481cbdd11197d4b3146b">The HBase data directory consists of <strong id="mrs_01_1641__b189035098855013">$rootDir/data/$nameSpace/$tableName</strong>, for example, <span class="filepath" id="mrs_01_1641__filepath89414559955013"><b>hdfs://hacluster/hbase/data/default/TestTable</b></span>. <strong id="mrs_01_1641__b127206784755013">$rootDir</strong> is the HBase root directory, which can be obtained by configuring <strong id="mrs_01_1641__b89315425255013">hbase.rootdir.perms</strong> in <span class="filepath" id="mrs_01_1641__filepath65008100855013"><b>hbase-site.xml</b></span>. The <strong id="mrs_01_1641__b132938968455013">data</strong> directory is a fixed directory of HBase. <strong id="mrs_01_1641__b35314805955013">$nameSpace</strong> indicates the nameSpace name. <strong id="mrs_01_1641__b113195414955013">$tableName</strong> indicates the table name.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1638.html">Common Issues About HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1642.html b/docs/mrs/component-operation-guide/mrs_01_1642.html
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@@ -0,0 +1,25 @@
+<a name="mrs_01_1642"></a><a name="mrs_01_1642"></a>
+
+<h1 class="topictitle1">Why Other Services Become Unstable If HBase Sets up A Large Number of Connections over the Network Port?</h1>
+<div id="body1596003893915"><div class="section" id="mrs_01_1642__s4f4a9ba4e0d04de6826b655aa8b757da"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1642__aff0f834626f2425cb7aba4f67145eb0f">Why other services become unstable if HBase sets up a large number of connections over the network port?</p>
+</div>
+<div class="section" id="mrs_01_1642__s8e4aae27d80b48cb9db402c943af3b83"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1642__af2de08b1130046079b15f3e655d9a2f7">When the OS command <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1642__c4bc71333a80349ada0342b2a4e978c75">lsof</span></b></i> or <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1642__c12f7cb6ed7e14e0890f00b6044be51b0">netstat</span></b></i> is run, it is found that many TCP connections are in the CLOSE_WAIT state and the owner of the connections is HBase RegionServer. This can cause exhaustion of network ports or limit exceeding of HDFS connections, resulting in instability of other services. The HBase CLOSE_WAIT phenomenon is the HBase mechanism.</p>
+<p id="mrs_01_1642__aab0fc38c1e33448b97c21e768794930b">The reason why HBase CLOSE_WAIT occurs is as follows: HBase data is stored in the HDFS as HFile, which can be called StoreFiles. HBase functions as the client of the HDFS. When HBase creates a StoreFile or starts loading a StoreFile, it creates an HDFS connection. When the StoreFile is created or loaded successfully, the HDFS considers that the task is completed and transfers the connection close permission to HBase. However, HBase may choose not to close the connection to ensure real-time response; that is, HBase may maintain the connection so that it can quickly access the corresponding data file upon request. In this case, the connection is in the CLOSE_WAIT, which indicates that the connection needs to be closed by the client.</p>
+<p id="mrs_01_1642__a98773472ce284e21b2b5ee76a9a1a9ab">When a StoreFile will be created: HBase executes the Flush operation.</p>
+<p id="mrs_01_1642__a76c8901bd50d411ebb0646ff6f047842">When Flush is executed: The data written by HBase is first stored in memstore. The Flush operation is performed only when the usage of memstore reaches the threshold or the <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1642__cd9711322ebb24a6998120d7fe44e2ebc">flush</span></b></i> command is run to write data into the HDFS.</p>
+<p id="mrs_01_1642__a44dd1815bd974ac8a823a0671729d37d">To resolve the issue, use either of the following methods:</p>
+<p id="mrs_01_1642__ac260f6f8b4a64527b93ee78bfd92c3e0">Because of the HBase connection mechanism, the number of StoreFiles must be restricted to reduce the occupation of HBase ports. This can be achieved by triggering HBase's the compaction action, that is, HBase file merging.</p>
+<p id="mrs_01_1642__a67da304695024ea7a9a7b908724990ca">Method 1: On HBase shell client, run <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1642__cc8c38d26ee2d40d289217a5362ec9297">major_compact</span></b></i>.</p>
+<p id="mrs_01_1642__a28170777871740b89d0ba2a2738d0480">Method 2: Compile HBase client code to invoke the compact method of the HBaseAdmin class to trigger HBase's compaction action.</p>
+<p id="mrs_01_1642__a907b7f25eeb74684a388980c89731e55">If the HBase port occupation issue cannot be resolved through compact, it indicates that the HBase usage has reached the bottleneck. In such a case, you are advised to perform the following:</p>
+<ul id="mrs_01_1642__u6c7175ec49e649ca83f48ca1a65c7e6f"><li id="mrs_01_1642__le2a21797b11848129b54c5e2531426e9">Check whether the initial number of Regions configured in the table is appropriate.</li><li id="mrs_01_1642__l5b6401c1f81349a3a6ebb7280a99e303">Check whether useless data exists.</li></ul>
+<p id="mrs_01_1642__a8121a16921ad4f7aa353b182d84662fb">If useless data exists, delete the data to reduce the number of storage files for the HBase. If the preceding conditions are not met, then you need to consider a capacity expansion.</p>
+<p id="mrs_01_1642__ad78fb7e65d944c299b4f47123c899873"></p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1638.html">Common Issues About HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1643.html b/docs/mrs/component-operation-guide/mrs_01_1643.html
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+<a name="mrs_01_1643"></a><a name="mrs_01_1643"></a>
+
+<h1 class="topictitle1">Why Does the HBase BulkLoad Task (One Table Has 26 TB Data) Consisting of 210,000 Map Tasks and 10,000 Reduce Tasks Fail?</h1>
+<div id="body1596003894113"><div class="section" id="mrs_01_1643__sdaadca59fe5641c28123e8a7fb075c20"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1643__a9b80c5a831424fa7a045abb1afc1d6d3">The HBase bulkLoad task (a single table contains 26 TB data) has 210,000 maps and 10,000 reduce tasks (in MRS 3.x or later), and the task fails.</p>
+</div>
+<div class="section" id="mrs_01_1643__s1f1d579b37ac42ed92a4e9c587124b6d"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1643__a51bf8a6e5145419b9ecd44568db344bb"><strong id="mrs_01_1643__b7171111112208">ZooKeeper I/O bottleneck observation methods:</strong></p>
+<ol id="mrs_01_1643__o4254576295f54b459b83b756e461f514"><li id="mrs_01_1643__ld817ffbf536e4f92a48104caea0d7ca4">On the monitoring page of Manager, check whether the number of ZooKeeper requests on a single node exceeds the upper limit.</li><li id="mrs_01_1643__le5aa66e2fcf246ccb967efdbe30c64ba">View ZooKeeper and HBase logs to check whether a large number of I/O Exception Timeout or SocketTimeout Exception exceptions occur.</li></ol>
+<p id="mrs_01_1643__aa17c2d571cac416f9a4a7b4b49c899c4"><strong id="mrs_01_1643__b563711610202">Optimization suggestions:</strong></p>
+<ol id="mrs_01_1643__o3f28c2d1e09b4c11ba1181ec37579c80"><li id="mrs_01_1643__lebb7a09423724bdc9799029f65cafd7d">Change the number of ZooKeeper instances to 5 or more. You are advised to set <strong id="mrs_01_1643__b2333134132112">peerType</strong> to <strong id="mrs_01_1643__b203382417219">observer</strong> to increase the number of observers.</li><li id="mrs_01_1643__lccb79ae84fa8442fb81fd6ddb053112b">Control the number of concurrent maps of a single task or reduce the memory for running tasks on each node to lighten the node load.</li><li id="mrs_01_1643__l69474c4649db4403967cbf4580eff2df">Upgrade ZooKeeper data disks, such as SSDs.</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1638.html">Common Issues About HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1644.html b/docs/mrs/component-operation-guide/mrs_01_1644.html
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@@ -0,0 +1,17 @@
+<a name="mrs_01_1644"></a><a name="mrs_01_1644"></a>
+
+<h1 class="topictitle1">How Do I Restore a Region in the RIT State for a Long Time?</h1>
+<div id="body1596003894347"><div class="section" id="mrs_01_1644__s74bf0159601b4212abdbf71ebdd5ad3e"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1644__a03a90cc20cc64b70aec69d8720d21789">How do I restore a region in the RIT state for a long time?</p>
+</div>
+<div class="section" id="mrs_01_1644__s2cfc2d2d793944289b42c8a58250cb37"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1644__p11897448174317">Log in to the HMaster Web UI, choose <strong id="mrs_01_1644__b53761932174920">Procedure &amp; Locks</strong> in the navigation tree, and check whether any process ID is in the <strong id="mrs_01_1644__b92021140114910">Waiting</strong> state. If yes, run the following command to release the procedure lock:</p>
+<p id="mrs_01_1644__p5597411164412"><strong id="mrs_01_1644__b12975122114305">hbase hbck -j </strong><em id="mrs_01_1644__i1547615221302">Client installation directory</em><strong id="mrs_01_1644__b4975621133019">/HBase/hbase/tools/hbase-hbck2-*.jar bypass -o </strong><em id="mrs_01_1644__i91087177114">pid</em></p>
+<p id="mrs_01_1644__p19326719134413">Check whether the state is in the <strong id="mrs_01_1644__b1922219569498">Bypass</strong> state. If the procedure on the UI is always in <strong id="mrs_01_1644__b3344193865017">RUNNABLE(Bypass)</strong> state, perform an active/standby switchover. Run the <strong id="mrs_01_1644__b05741245145011">assigns</strong> command to bring the region online again.</p>
+<p id="mrs_01_1644__p2365135112447"><strong id="mrs_01_1644__b314583618303">hbase hbck -j </strong><em id="mrs_01_1644__i12148193616305">Client installation directory</em><strong id="mrs_01_1644__b0145163615309">/HBase/hbase/tools/hbase-hbck2-*.jar assigns -o </strong><em id="mrs_01_1644__i7933185410119">regionName</em></p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1638.html">Common Issues About HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1645.html b/docs/mrs/component-operation-guide/mrs_01_1645.html
new file mode 100644
index 000000000..a9ac59952
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1645.html
@@ -0,0 +1,30 @@
+<a name="mrs_01_1645"></a><a name="mrs_01_1645"></a>
+
+<h1 class="topictitle1">Why Does HMaster Exits Due to Timeout When Waiting for the Namespace Table to Go Online?</h1>
+<div id="body1596003894349"><div class="section" id="mrs_01_1645__s22112062b24b484ab4585a2d0122844d"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1645__af358e378eb5b489f8e113ddb285746e1">Why does HMaster exit due to timeout when waiting for the namespace table to go online?</p>
+</div>
+<div class="section" id="mrs_01_1645__s37da9f0c51ea4f3c95156c39e55f1132"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1645__afa7c7d521e8f40249af7c57b142c4a01">During the HMaster active/standby switchover or startup, HMaster performs WAL splitting and region recovery for the RegionServer that failed or was stopped previously.</p>
+<p id="mrs_01_1645__aff4de7b25eb648ee9b85e3a83131db0c">Multiple threads are running in the background to monitor the HMaster startup process.</p>
+<ul id="mrs_01_1645__u4a1bc1fdcf4c474b9f342172d47bc338"><li id="mrs_01_1645__l5aa1146bc1dd402c87a4387b97171ccd">TableNamespaceManager<p id="mrs_01_1645__a3c14287e8aca46c98abdac86e73bebe1"><a name="mrs_01_1645__l5aa1146bc1dd402c87a4387b97171ccd"></a><a name="l5aa1146bc1dd402c87a4387b97171ccd"></a>This is a help class, which is used to manage the allocation of namespace tables and monitoring table regions during HMaster active/standby switchover or startup. If the namespace table is not online within the specified time (<strong id="mrs_01_1645__b67311633131110">hbase.master.namespace.init.timeout</strong>, which is 3,600,000 ms by default), the thread terminates HMaster abnormally.</p>
+</li></ul>
+<ul id="mrs_01_1645__u4a3c0d99babc4b88a5a4fb254be4bf4b"><li id="mrs_01_1645__l174d8012e3a844758665c805316359a7">InitializationMonitor<p id="mrs_01_1645__ae6cceefd66ee44a98411fd1e7a82f01f"><a name="mrs_01_1645__l174d8012e3a844758665c805316359a7"></a><a name="l174d8012e3a844758665c805316359a7"></a>This is an initialization thread monitoring class of the primary HMaster, which is used to monitor the initialization of the primary HMaster. If a thread fails to be initialized within the specified time (<strong id="mrs_01_1645__b16402017155518">hbase.master.initializationmonitor.timeout</strong>, which is 3,600,000 ms by default), the thread terminates HMaster abnormally. If <strong id="mrs_01_1645__b12599142611554">hbase.master.initializationmonitor.haltontimeout</strong> is started, the default value is <strong id="mrs_01_1645__b545243490105148">false</strong>.</p>
+</li></ul>
+<p id="mrs_01_1645__a10c9e53a73984e49ab8582e3488882f2">During the HMaster active/standby switchover or startup, if the <strong id="mrs_01_1645__b1786112421105148">WAL hlog</strong> file exists, the WAL splitting task is initialized. If the WAL hlog splitting task is complete, it initializes the table region allocation task.</p>
+<p id="mrs_01_1645__a09df7ba10d7d4d4089e4b5b5d579981a">HMaster uses ZooKeeper to coordinate log splitting tasks and valid RegionServers and track task development. If the primary HMaster exits during the log splitting task, the new primary HMaster attempts to resend the unfinished task, and RegionServer starts the log splitting task from the beginning.</p>
+<p id="mrs_01_1645__ad4fb418847354b8a9eb7a1fa1e95334a">The initialization of the HMaster is delayed due to the following reasons:</p>
+<ul id="mrs_01_1645__ud383f46b9b2848b9a72cb357dd698400"><li id="mrs_01_1645__l72316bd5377a477daaac28b498a5da93">Network faults occur intermittently.</li><li id="mrs_01_1645__l5a1f7573d17349f59d311e96427eb993">Disks run into bottlenecks.</li><li id="mrs_01_1645__l04fe959da8b7443d9901ab7e93d5ae00">The log splitting task is overloaded, and RegionServer runs slowly.</li><li id="mrs_01_1645__l8a8d463bcc754d649411046a699fdae7">RegionServer (region opening) responds slowly.</li></ul>
+<p id="mrs_01_1645__ab3ab3e2461314747b6d414dcda70e958">In the preceding scenarios, you are advised to add the following configuration parameters to enable HMaster to complete the restoration task earlier. Otherwise, the Master will exit, causing a longer delay of the entire restoration process.</p>
+<ul id="mrs_01_1645__u58968dd714f24518b21a30f3ec8f3be0"><li id="mrs_01_1645__l1ce0f1c1a10e4f12a9fc6feb8fc0f779">Increase the online waiting timeout period of the namespace table to ensure that the Master has enough time to coordinate the splitting tasks of the RegionServer worker and avoid repeated tasks.<p id="mrs_01_1645__acc9bb42438854082998012eb5c922d3d"><a name="mrs_01_1645__l1ce0f1c1a10e4f12a9fc6feb8fc0f779"></a><a name="l1ce0f1c1a10e4f12a9fc6feb8fc0f779"></a><span class="parmname" id="mrs_01_1645__paca571fd5a3844d9b960dc2247d287cc"><b>hbase.master.namespace.init.timeout</b></span> (default value: 3,600,000 ms)</p>
+</li></ul>
+<ul id="mrs_01_1645__ufb54491893674f85a49310d24581b1e9"><li id="mrs_01_1645__lcafcc3ff04ad4aafb18541e8fdf8b472">Increase the number of concurrent splitting tasks through RegionServer worker to ensure that RegionServer worker can process splitting tasks in parallel (RegionServers need more cores). Add the following parameters to <em id="mrs_01_1645__i7556144718582">Client installation path</em> <strong id="mrs_01_1645__b1951185495810">/HBase/hbase/conf/hbase-site.xml</strong>:<p id="mrs_01_1645__aad00a001c2654d279600dbb0006c7dab"><span class="parmname" id="mrs_01_1645__p7cb84a6c823e4687899eeb06e2cd2c5d"><b>hbase.regionserver.wal.max.splitters</b></span> (default value: 2)</p>
+</li></ul>
+<ul id="mrs_01_1645__u105d3452e4704870a2e2ab9d1a78d2b7"><li id="mrs_01_1645__lee3f3ef9db6248cf9f9d1d9b05049a62">If all restoration processes require time, increase the timeout period for initializing the monitoring thread.<p id="mrs_01_1645__a6acb411d5ad74ca4a4e44f6d4d04166d"><a name="mrs_01_1645__lee3f3ef9db6248cf9f9d1d9b05049a62"></a><a name="lee3f3ef9db6248cf9f9d1d9b05049a62"></a><strong id="mrs_01_1645__b14288196195917">hbase.master.initializationmonitor.timeout</strong> (default value: 3,600,000 ms)</p>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1638.html">Common Issues About HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1646.html b/docs/mrs/component-operation-guide/mrs_01_1646.html
new file mode 100644
index 000000000..62f0a81e2
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1646.html
@@ -0,0 +1,63 @@
+<a name="mrs_01_1646"></a><a name="mrs_01_1646"></a>
+
+<h1 class="topictitle1">Why Does SocketTimeoutException Occur When a Client Queries HBase?</h1>
+<div id="body1596003894351"><div class="section" id="mrs_01_1646__s65bb8080562a4185b148f9fd8f535c44"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1646__a7bcfd5e99448411182924b411fb1bbeb">Why does the following exception occur on the client when I use the HBase client to operate table data?</p>
+<pre class="screen" id="mrs_01_1646__s322fcf3dddfb4853b253fdb92454ee88">2015-12-15 02:41:14,054 | WARN  | [task-result-getter-2] | Lost task 2.0 in stage 58.0 (TID 3288, linux-175): 
+org.apache.hadoop.hbase.client.RetriesExhaustedException: Failed after attempts=36, exceptions:
+Tue Dec 15 02:41:14 CST 2015, null, java.net.SocketTimeoutException: callTimeout=60000, callDuration=60303: 
+row 'xxxxxx' on table 'xxxxxx' at region=xxxxxx,\x05\x1E\x80\x00\x00\x00\x80\x00\x00\x00\x00\x00\x00\x00\x80\x00\x00\x00\x00\x00\x00\x000\x00\x80\x00\x00\x00\x80\x00\x00\x00\x80\x00\x00,
+1449912620868.6a6b7d0c272803d8186930a3bfdb10a9., hostname=xxxxxx,16020,1449941841479, seqNum=5
+at org.apache.hadoop.hbase.client.RpcRetryingCallerWithReadReplicas.throwEnrichedException(RpcRetryingCallerWithReadReplicas.java:275)
+at org.apache.hadoop.hbase.client.ScannerCallableWithReplicas.call(ScannerCallableWithReplicas.java:223)
+at org.apache.hadoop.hbase.client.ScannerCallableWithReplicas.call(ScannerCallableWithReplicas.java:61)
+at org.apache.hadoop.hbase.client.RpcRetryingCaller.callWithoutRetries(RpcRetryingCaller.java:200)
+at org.apache.hadoop.hbase.client.ClientScanner.call(ClientScanner.java:323)</pre>
+</div>
+<p id="mrs_01_1646__ac433a1490a8746a2a6288d5550e256e5">At the same time, the following log is displayed on RegionServer:</p>
+<pre class="screen" id="mrs_01_1646__s3f99036ba4904a7e872a657896f619d4">2015-12-15 02:45:44,551 | WARN  | PriorityRpcServer.handler=7,queue=1,port=16020 | (responseTooSlow): {"call":"Scan(org.apache.hadoop.hbase.protobuf.generated.ClientProtos$ScanRequest)
+","starttimems":1450118730780,"responsesize":416,"method":"Scan","processingtimems":13770,"client":"10.91.8.175:41182","queuetimems":0,"class":"HRegionServer"} | 
+org.apache.hadoop.hbase.ipc.RpcServer.logResponse(RpcServer.java:2221)
+2015-12-15 02:45:57,722 | WARN  | PriorityRpcServer.handler=3,queue=1,port=16020 | (responseTooSlow): 
+{"call":"Scan(org.apache.hadoop.hbase.protobuf.generated.ClientProtos$ScanRequest)","starttimems":1450118746297,"responsesize":416,
+"method":"Scan","processingtimems":11425,"client":"10.91.8.175:41182","queuetimems":1746,"class":"HRegionServer"} | org.apache.hadoop.hbase.ipc.RpcServer.logResponse(RpcServer.java:2221)
+2015-12-15 02:47:21,668 | INFO  | LruBlockCacheStatsExecutor | totalSize=7.54 GB, freeSize=369.52 MB, max=7.90 GB, blockCount=406107, 
+accesses=35400006, hits=16803205, hitRatio=47.47%, , cachingAccesses=31864266, cachingHits=14806045, cachingHitsRatio=46.47%, 
+evictions=17654, evicted=16642283, evictedPerRun=942.69189453125 | org.apache.hadoop.hbase.io.hfile.LruBlockCache.logStats(LruBlockCache.java:858)
+2015-12-15 02:52:21,668 | INFO  | LruBlockCacheStatsExecutor | totalSize=7.51 GB, freeSize=395.34 MB, max=7.90 GB, blockCount=403080, 
+accesses=35685793, hits=16933684, hitRatio=47.45%, , cachingAccesses=32150053, cachingHits=14936524, cachingHitsRatio=46.46%, 
+evictions=17684, evicted=16800617, evictedPerRun=950.046142578125 | org.apache.hadoop.hbase.io.hfile.LruBlockCache.logStats(LruBlockCache.java:858)</pre>
+<div class="section" id="mrs_01_1646__s16d4e44099f243b3882c1d080e6ecce6"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1646__aecfffed988a647979ed7799cd16d456f">The memory allocated to RegionServer is too small and the number of Regions is too large. As a result, the memory is insufficient during the running, and the server responds slowly to the client. Modify the following memory allocation parameters in the <span class="filepath" id="mrs_01_1646__fc6b00092dbe0479f94e2d88ce91d4fed"><b>hbase-site.xml</b></span> configuration file of RegionServer:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1646__t55a5bb70755a4368b0f178b740ba0480" frame="border" border="1" rules="all"><caption><b>Table 1 </b>RegionServer memory allocation parameters</caption><thead align="left"><tr id="mrs_01_1646__r43fe334d68bf41148e5872663da4985d"><th align="left" class="cellrowborder" valign="top" width="18.86%" id="mcps1.3.4.3.2.4.1.1"><p id="mrs_01_1646__a8392c8c4a8f4454f995e4f2ae25a2260"><strong id="mrs_01_1646__b12653131016567">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="57.21000000000001%" id="mcps1.3.4.3.2.4.1.2"><p id="mrs_01_1646__a019204afb78c40c5a9c8f66b92f7a7ca"><strong id="mrs_01_1646__b1231501445612">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="23.93%" id="mcps1.3.4.3.2.4.1.3"><p id="mrs_01_1646__af0b40bb325a04b9cb3fe622a8f7c27ed"><strong id="mrs_01_1646__b1923701520564">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1646__r41365c7e0a2945a7988631c672003c53"><td class="cellrowborder" valign="top" width="18.86%" headers="mcps1.3.4.3.2.4.1.1 "><p id="mrs_01_1646__a858a4b4015664ea38787829c0e6b2807">GC_OPTS</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.21000000000001%" headers="mcps1.3.4.3.2.4.1.2 "><p id="mrs_01_1646__a77b7258316eb4abf89074f8c8f6094c4">Initial memory and maximum memory allocated to RegionServer in startup parameters.</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.93%" headers="mcps1.3.4.3.2.4.1.3 "><p id="mrs_01_1646__a699abcbedd8b4a299c21482893cc852f">-Xms8G -Xmx8G</p>
+</td>
+</tr>
+<tr id="mrs_01_1646__r37c47a7b92724b9a9297b364e796d8b6"><td class="cellrowborder" valign="top" width="18.86%" headers="mcps1.3.4.3.2.4.1.1 "><p id="mrs_01_1646__a3cdc1927f51341f2ae41fabf31821efa">hfile.block.cache.size</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.21000000000001%" headers="mcps1.3.4.3.2.4.1.2 "><p id="mrs_01_1646__a336d5f963cd3431daf20d79f81056f45">Percentage of the maximum heap (-Xmx setting) allocated to the block cache of HFiles or StoreFiles.</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.93%" headers="mcps1.3.4.3.2.4.1.3 "><p id="mrs_01_1646__ae915a88990744c048a79161228108024">When <strong id="mrs_01_1646__b12378173515915">offheap</strong> is disabled, the default value is <strong id="mrs_01_1646__b738053585916">0.25</strong>. When <strong id="mrs_01_1646__b163561138185914">offheap</strong> is enabled, the default value is <strong id="mrs_01_1646__b4360338125913">0.1</strong>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1638.html">Common Issues About HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1647.html b/docs/mrs/component-operation-guide/mrs_01_1647.html
new file mode 100644
index 000000000..57d642672
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1647.html
@@ -0,0 +1,23 @@
+<a name="mrs_01_1647"></a><a name="mrs_01_1647"></a>
+
+<h1 class="topictitle1">Why Modified and Deleted Data Can Still Be Queried by Using the Scan Command?</h1>
+<div id="body1596003894352"><div class="section" id="mrs_01_1647__s32b1b6ea012e4225a89000a5edc6d9bd"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1647__a0289ddd875c24a22934d4c970d99416a">Why modified and deleted data can still be queried by using the <strong id="mrs_01_1647__a6125145124994f9ebeabcbfae523d2c5">scan</strong> command?</p>
+<pre class="screen" id="mrs_01_1647__s4affcbe10f284441909e3283cbf116e8">scan '&lt;table_name&gt;',{FILTER=&gt;"SingleColumnValueFilter('&lt;column_family&gt;','column',=,'binary:&lt;value&gt;')"}</pre>
+</div>
+<div class="section" id="mrs_01_1647__s04c04b5ab02e441788493e3419098ebc"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1647__a25cd8aedcd3f4783a5865d0427fec7c0">Because of the scalability of HBase, all values specific to the versions in the queried column are all matched by default, even if the values have been modified or deleted. For a row where column matching has failed (that is, the column does not exist in the row), the HBase also queries the row.</p>
+<p id="mrs_01_1647__af473e3b257d945bf977ca84b2f5817be">If you want to query only the new values and rows where column matching is successful, you can use the following statement:</p>
+<pre class="screen" id="mrs_01_1647__sa41da4c36b574eb9b6bf25e2c285ab55">scan '&lt;table_name&gt;',{FILTER=&gt;"SingleColumnValueFilter('&lt;column_family&gt;','column',=,'binary:&lt;value&gt;',true,true)"}</pre>
+<p id="mrs_01_1647__ae58c73a4bf1d48c7b453a14839afddf1">This command can filter all rows where column query has failed. It queries only the latest values of the current data in the table; that is, it does not query the values before modification or the deleted values.</p>
+<div class="note" id="mrs_01_1647__neb46a83bf78a407899230a7f31c221bd"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1647__a4f88187008b144fb820dc3c631a10dc9">The related parameters of <strong id="mrs_01_1647__aad9f9e3883254cf8aa74df3f3900c81e">SingleColumnValueFilter</strong> are described as follows:</p>
+<p id="mrs_01_1647__a78ee2e07fd8b4c8aaf266d308ab16e7e">SingleColumnValueFilter(final byte[] family, final byte[] qualifier, final CompareOp compareOp, ByteArrayComparable comparator, final boolean filterIfMissing, final boolean latestVersionOnly)</p>
+<div class="p" id="mrs_01_1647__ae05724ef451f485fb19a3c3477dbf69e">Parameter description:<ul id="mrs_01_1647__udc7d3d1deb9d48c2bb6dc9351db703cb"><li id="mrs_01_1647__le61d8920bc3d449e9113c1ae7ee4bf55">family: family of the column to be queried.</li><li id="mrs_01_1647__l6973080d9fc54483a4b56007789e6948">qualifier: column to be queried.</li><li id="mrs_01_1647__l76cdad2d92114f868106c1ec09a1e30e">compareOp: comparison operation, such as = and &gt;.</li><li id="mrs_01_1647__l7f30681f896041dc922ad30a630ee989">comparator: target value to be queried.</li><li id="mrs_01_1647__l87a2715a82c54010845ba6b1261f9eaf">filterIfMissing: whether a row is filtered out if the queried column does not exist. The default value is false.</li><li id="mrs_01_1647__l8f49a06dc5a14b98a76c256f0a43efd9">latestVersionOnly: whether values of the latest version are queried. The default value is false.</li></ul>
+</div>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1638.html">Common Issues About HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1648.html b/docs/mrs/component-operation-guide/mrs_01_1648.html
new file mode 100644
index 000000000..790723144
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1648.html
@@ -0,0 +1,15 @@
+<a name="mrs_01_1648"></a><a name="mrs_01_1648"></a>
+
+<h1 class="topictitle1">Why "java.lang.UnsatisfiedLinkError: Permission denied" exception thrown while starting HBase shell?</h1>
+<div id="body1596003894353"><div class="section" id="mrs_01_1648__s90ae29ca7ef04c04aabb9803ca2d51c9"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1648__a91ead4a4ad0648f686dc93b4a2fe1828">Why "java.lang.UnsatisfiedLinkError: Permission denied" exception thrown while starting HBase shell?</p>
+</div>
+<div class="section" id="mrs_01_1648__s5f5cf1736b464516ac4ef70788b16b9d"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1648__ae98b6645b23a4cf88a134b37e6699314">During HBase shell execution JRuby create temporary files under <span class="filepath" id="mrs_01_1648__f50ce5c6217964bdbac91ae9ddb4e30a9"><b>java.io.tmpdir</b></span> path and default value of <span class="filepath" id="mrs_01_1648__f440d0d232d0c478aade01baaae2d01f0"><b>java.io.tmpdir</b></span> is <span class="filepath" id="mrs_01_1648__f62c21d8d168a4d34a07b29e6fa5f90df"><b>/tmp</b></span>. If NOEXEC permission is set to /tmp directory then HBase shell start will fail with "java.lang.UnsatisfiedLinkError: Permission denied" exception.</p>
+<p id="mrs_01_1648__a4804c08a34f74c66a42ec7cc41381d94">So "java.io.tmpdir" must be set to a different path in HBASE_OPTS/CLIENT_GC_OPTS if NOEXEC is set to /tmp directory.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1638.html">Common Issues About HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1649.html b/docs/mrs/component-operation-guide/mrs_01_1649.html
new file mode 100644
index 000000000..4ff93dd34
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1649.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_1649"></a><a name="mrs_01_1649"></a>
+
+<h1 class="topictitle1">When does the RegionServers listed under "Dead Region Servers" on HMaster WebUI gets cleared?</h1>
+<div id="body1596003894354"><div class="section" id="mrs_01_1649__s7e42ea5431574665b0835db73f2371b3"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1649__a590d4d661c73438583c88930b629d741">When does the RegionServers listed under "Dead Region Servers" on HMaster WebUI gets cleared?</p>
+</div>
+<div class="section" id="mrs_01_1649__s4e966fecbb3e448cbb901cb3a42e79af"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1649__a37cc85488c6d4fbf885bb360da1b6417">When an online RegionServer goes down abruptly, it is displayed under "Dead Region Servers" in the HMaster WebUI. When dead RegionServer restarts and reports back to HMaster successfully, the "Dead Region Servers" in the HMaster WebUI gets cleared.</p>
+</div>
+<p id="mrs_01_1649__a16bf85bd1a55428c9a97c978c5beef98">The "Dead Region Servers" is also gets cleared, when the HMaster failover operation is performed successfully.</p>
+<p id="mrs_01_1649__aef145f2e28b44612b9e4905a0f753af4">In cases when an Active HMaster hosting some regions is abruptly killed, Backup HMaster will become the new Active HMater and displays previous Active HMaster as dead RegionServer.</p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1638.html">Common Issues About HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1650.html b/docs/mrs/component-operation-guide/mrs_01_1650.html
new file mode 100644
index 000000000..16ca33ac0
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1650.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_1650"></a><a name="mrs_01_1650"></a>
+
+<h1 class="topictitle1">Why Are Different Query Results Returned After I Use Same Query Criteria to Query Data Successfully Imported by HBase bulkload?</h1>
+<div id="body1596003894355"><div class="section" id="mrs_01_1650__s4299fc88f2f248a5abe5a69741fc7c82"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1650__adc0c8573e25648d3992af97dfe1ccb5e">If the data to be imported by HBase bulkload has identical rowkeys, the data import is successful but identical query criteria produce different query results.</p>
+</div>
+<div class="section" id="mrs_01_1650__s90105478c8a849ba964a314f77fc2a48"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1650__a5ed937df309b4c2ca41f581eb96a5a83">Data with an identical rowkey is loaded into HBase in the order in which data is read. The data with the latest timestamp is considered to be the latest data. By default, data is not queried by timestamp. Therefore, if you query for data with an identical rowkey, only the latest data is returned.</p>
+<p id="mrs_01_1650__ac2a22c1f32834b94bbec095978f21aa4">While data is being loaded by bulkload, the memory processes the data into HFiles quickly, leading to the possibility that data with an identical rowkey has a same timestamp. In this case, identical query criteria may produce different query results.</p>
+<p id="mrs_01_1650__ac3fc40d2c46145f4b3c7a7244a5eb90a">To avoid this problem, ensure that the same data file does not contain identical rowkeys while you are creating tables or loading data.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1638.html">Common Issues About HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1651.html b/docs/mrs/component-operation-guide/mrs_01_1651.html
new file mode 100644
index 000000000..b054d201b
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1651.html
@@ -0,0 +1,21 @@
+<a name="mrs_01_1651"></a><a name="mrs_01_1651"></a>
+
+<h1 class="topictitle1">What Should I Do If I Fail to Create Tables Due to the FAILED_OPEN State of Regions?</h1>
+<div id="body1596003894612"><div class="section" id="mrs_01_1651__s2a605a8fe4cd4207b41144ff2ab21174"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1651__a57384355d2184e24a25193cb1e7b9071">What should I do if I fail to create tables due to the FAILED_OPEN state of Regions?</p>
+</div>
+<div class="section" id="mrs_01_1651__sc486a66886be439a994a1a41a19b3e11"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1651__af7ec8a3f8fcf4ddc982653e1d0940a19">If a network, HDFS, or Active HMaster fault occurs during the creation of tables, some Regions may fail to go online and therefore enter the FAILED_OPEN state. In this case, tables fail to be created.</p>
+<p id="mrs_01_1651__a090b02316d75426cbb9e439f31c432bd">The tables that fail to be created due to the preceding mentioned issue cannot be repaired. To solve this problem, perform the following operations to delete and re-create the tables:</p>
+<p id="mrs_01_1651__a9427a5dad34d4b03830e32381f5f3af6"></p>
+<ol id="mrs_01_1651__oe8363b5b70ef40a0af13dac9028bb3d8"><li id="mrs_01_1651__l64f625e394ce4954b75265931f0a5117">Run the following command on the cluster client to repair the state of the tables:<p id="mrs_01_1651__acc918c837e864b3091004054fb3749de"><a name="mrs_01_1651__l64f625e394ce4954b75265931f0a5117"></a><a name="l64f625e394ce4954b75265931f0a5117"></a><b><span class="cmdname" id="mrs_01_1651__ca1650773542040aea85eb655dc072eb4">hbase hbck -fixTableStates</span></b></p>
+</li><li id="mrs_01_1651__l04402e18a29c4bd592b818b35e843105">Enter the HBase shell and run the following commands to delete the tables that fail to be created:<p id="mrs_01_1651__a56983952b1ed499dbf2a782a6575d56e"><a name="mrs_01_1651__l04402e18a29c4bd592b818b35e843105"></a><a name="l04402e18a29c4bd592b818b35e843105"></a><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1651__c75031b0007594e36b50522129984f6c4">truncate</span></b></i> <i><span class="varname" id="mrs_01_1651__vcaa39393abc34140ae99dc2582bb762a">'&lt;table_name&gt;'</span></i></p>
+<p id="mrs_01_1651__a3a699c4b3dac4162974effb05227da03"><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1651__cc058c5a664654aeab1ca9033faab7b0f">disable</span></b></i> <i><span class="varname" id="mrs_01_1651__v9e364edcf3454524911b6894f6c6eab9">'&lt;table_name&gt;'</span></i></p>
+<p id="mrs_01_1651__a34e8216d58844069b2fa58dbe382d7e0"><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1651__c32ce78d325364103b0db155a5867976b">drop</span></b></i> <i><span class="varname" id="mrs_01_1651__v5c8d51f19b414bb68b56bd4312728dd7">'&lt;table_name&gt;'</span></i></p>
+</li><li id="mrs_01_1651__l991e572a09c743c4a7a2874c60b6112d">Create the tables using the recreation command.</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1638.html">Common Issues About HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1652.html b/docs/mrs/component-operation-guide/mrs_01_1652.html
new file mode 100644
index 000000000..4d55f2b67
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1652.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_1652"></a><a name="mrs_01_1652"></a>
+
+<h1 class="topictitle1">How Do I Delete Residual Table Names in the /hbase/table-lock Directory of ZooKeeper?</h1>
+<div id="body1596003894861"><div class="section" id="mrs_01_1652__sd9b757209cbc4f0c83beb47bc8a25c7a"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1652__ab4de6e864e9b4a9085284a08117f66a4">In security mode, names of tables that failed to be created are unnecessarily retained in the table-lock node (default directory is /hbase/table-lock) of ZooKeeper. How do I delete these residual table names?</p>
+</div>
+<div class="section" id="mrs_01_1652__s42476fcaff8440ceb84f02f5ebb278f0"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1652__a1eb2c367397045b0af471fcc3540ec9c">Perform the following steps:</p>
+<ol id="mrs_01_1652__ob0c962dad929496984e59e011a193267"><li id="mrs_01_1652__lb486eb62d2d749c6a7a78e6cca14ce9c">On the client, run the kinit command as the hbase user to obtain a security certificate.</li><li id="mrs_01_1652__lbcfa369999a84e9888a9b51ce2dc3c55">Run the <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1652__c1ec1d4d6c18f462e84597d18a71266f3">hbase zkcli</span></b></i> command to launch the ZooKeeper Command Line Interface (zkCLI).</li><li id="mrs_01_1652__l1308136ae0a3437799d9d9afb749e2de">Run the <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1652__c04a4b5c4b38f4950a1dfe66971a2e201">ls /hbase/table</span></b></i> command on the zkCLI to check whether the table name of the table that fails to be created exists.<ul id="mrs_01_1652__u992c57b2012b498bb5c8a8f6c0aeafe6"><li id="mrs_01_1652__lad479e00c3964d608702e826ef93159a">If the table name exists, no further operation is required.</li><li id="mrs_01_1652__la124abdbaf7048edb1b945b1e0156f6d">If the table name does not exist, run <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1652__c961e7832611e47208e2e47b8d7f9545b">ls /hbase/table-lock</span></b></i> to check whether the table name of the table fail to be created exist. If the table name exists, run the <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1652__c5eccebf06e9b4a2f88580b18c3f5b18f">delete /hbase/table-lock/&lt;table&gt;</span></b></i> command to delete the table name. In the <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1652__c9d751d59b67b497cb23e0ba46e05ebb9">delete /hbase/table-lock/&lt;table&gt;</span></b></i> command, <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1652__c441aa094b3ed443ab4c607141d232326">&lt;table&gt;</span></b></i> indicates the residual table name.</li></ul>
+</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1638.html">Common Issues About HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1653.html b/docs/mrs/component-operation-guide/mrs_01_1653.html
new file mode 100644
index 000000000..e96b84b2f
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1653.html
@@ -0,0 +1,39 @@
+<a name="mrs_01_1653"></a><a name="mrs_01_1653"></a>
+
+<h1 class="topictitle1">Why Does HBase Become Faulty When I Set a Quota for the Directory Used by HBase in HDFS?</h1>
+<div id="body1596003895084"><div class="section" id="mrs_01_1653__sffb39691888c451aa69944e660c690ef"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1653__af6f3affaa2064ce2ad676d5939bc5774">Why does HBase become faulty when I set quota for the directory used by HBase in HDFS?</p>
+</div>
+<div class="section" id="mrs_01_1653__s7a749ad8c43b4502bf3048b6c309f8f6"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1653__a9310dd8b981e4c4f928be741f2dc082f">The flush operation of a table is to write memstore data to HDFS.</p>
+<p id="mrs_01_1653__aeea7851b5fe94e298f9c4128d0aa8e50">If the HDFS directory does not have sufficient disk space quota, the flush operation will fail and the region server will stop.</p>
+<pre class="screen" id="mrs_01_1653__s56931a45944a4593ae923df3e5ca76a1">Caused by: org.apache.hadoop.hdfs.protocol.DSQuotaExceededException: The DiskSpace quota of /hbase/data/&lt;namespace&gt;/&lt;tableName&gt; is exceeded: quota = 1024 B = 1 KB but diskspace consumed = 402655638 B = 384.00 MB
+?at org.apache.hadoop.hdfs.server.namenode.DirectoryWithQuotaFeature.verifyStoragespaceQuota(DirectoryWithQuotaFeature.java:211)
+?at org.apache.hadoop.hdfs.server.namenode.DirectoryWithQuotaFeature.verifyQuota(DirectoryWithQuotaFeature.java:239)
+?at org.apache.hadoop.hdfs.server.namenode.FSDirectory.verifyQuota(FSDirectory.java:882)
+?at org.apache.hadoop.hdfs.server.namenode.FSDirectory.updateCount(FSDirectory.java:711)
+?at org.apache.hadoop.hdfs.server.namenode.FSDirectory.updateCount(FSDirectory.java:670)
+?at org.apache.hadoop.hdfs.server.namenode.FSDirectory.addBlock(FSDirectory.java:495)</pre>
+<p id="mrs_01_1653__ac6f43fd6052f48518580f0638510aecb">In the preceding exception, the disk space quota of the <span class="filepath" id="mrs_01_1653__f040243053c8d4b14b92ffd10a2319436"><b>/hbase/data/&lt;namespace&gt;/&lt;tableName&gt;</b></span> table is 1 KB, but the memstore data is 384.00 MB. Therefore, the flush operation fails and the region server stops.</p>
+<p id="mrs_01_1653__a6a23816689df4acf8ff935ce3f01381a">When the region server is terminated, HMaster replays the WAL file of the terminated region server to restore data. The disk space quota is limited. As a result, the replay operation of the WAL file fails, and the HMaster process exits unexpectedly.</p>
+<pre class="screen" id="mrs_01_1653__s99eee56d30e24d2f8cb562c228b482a1">2016-07-28 19:11:40,352 | FATAL | MASTER_SERVER_OPERATIONS-10-91-9-131:16000-0 | Caught throwable while processing event M_SERVER_SHUTDOWN | org.apache.hadoop.hbase.master.HMaster.abort(HMaster.java:2474)
+java.io.IOException: failed log splitting for 10-91-9-131,16020,1469689987884, will retry
+?at org.apache.hadoop.hbase.master.handler.ServerShutdownHandler.resubmit(ServerShutdownHandler.java:365)
+?at org.apache.hadoop.hbase.master.handler.ServerShutdownHandler.process(ServerShutdownHandler.java:220)
+?at org.apache.hadoop.hbase.executor.EventHandler.run(EventHandler.java:129)
+?at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
+?at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
+?at java.lang.Thread.run(Thread.java:745)
+Caused by: java.io.IOException: error or interrupted while splitting logs in [hdfs://hacluster/hbase/WALs/&lt;RS-Hostname&gt;,&lt;RS-Port&gt;,&lt;startcode&gt;-splitting] Task = installed = 6 done = 3 error = 3
+?at org.apache.hadoop.hbase.master.SplitLogManager.splitLogDistributed(SplitLogManager.java:290)
+?at org.apache.hadoop.hbase.master.MasterFileSystem.splitLog(MasterFileSystem.java:402)
+?at org.apache.hadoop.hbase.master.MasterFileSystem.splitLog(MasterFileSystem.java:375)</pre>
+<p id="mrs_01_1653__a1b4905b84129411e998fbd1df3258f46">Therefore, you cannot set the quota value for the HBase directory in HDFS. If the exception occurs, perform the following operations: </p>
+</div>
+<ol id="mrs_01_1653__obeac96afb4cf4970b8d243bcd896a84e"><li id="mrs_01_1653__l0f70d4f92dde4b09b5c950c0898dfca5"><span>Run the <b><span class="cmdname" id="mrs_01_1653__cmdname92874461427">kinit</span></b> <em id="mrs_01_1653__i0485154104216">Username</em> command on the client to enable the HBase user to obtain security authentication.</span></li><li id="mrs_01_1653__ladb748f730234a7a91f084e665dd9d48"><span>Run the <b><span class="cmdname" id="mrs_01_1653__cmdname1449355916425">hdfs dfs -count -q</span></b> <i><span class="varname" id="mrs_01_1653__v1dd10370c130469e80db47380680094e">/hbase/data/&lt;namespace&gt;/&lt;tableName&gt;</span></i> command to check the allocated disk space quota.</span></li><li id="mrs_01_1653__l86624b7443114bfda259160dd7dcd04a"><span>Run the following command to cancel the quota limit and restore HBase:</span><p><p id="mrs_01_1653__a738006ae1863435fb1f5ba64031c55cd"><b><span class="cmdname" id="mrs_01_1653__cmdname102251354311">hdfs dfsadmin -clrSpaceQuota</span></b> <i><span class="varname" id="mrs_01_1653__v0e84267d0cbf4c25a8e7b8a3243ae60c">/hbase/data/&lt;namespace&gt;/&lt;tableName&gt;</span></i></p>
+</p></li></ol>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1638.html">Common Issues About HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1654.html b/docs/mrs/component-operation-guide/mrs_01_1654.html
new file mode 100644
index 000000000..8093c1c2b
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1654.html
@@ -0,0 +1,25 @@
+<a name="mrs_01_1654"></a><a name="mrs_01_1654"></a>
+
+<h1 class="topictitle1">Why HMaster Times Out While Waiting for Namespace Table to be Assigned After Rebuilding Meta Using OfflineMetaRepair Tool and Startups Failed</h1>
+<div id="body1596003895086"><div class="section" id="mrs_01_1654__s1af6c8e532f84f37bd71f83b18ee571f"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1654__a744685012bd44ea5a92be0e6e5941b9f">Why HMaster times out while waiting for namespace table to be assigned after rebuilding meta using OfflineMetaRepair tool and startups failed?</p>
+<p id="mrs_01_1654__a5c0058d86fc448569c4cf3045c6f5445">HMaster abort with following FATAL message,</p>
+<pre class="screen" id="mrs_01_1654__s0aaba10586d44d45bd7a4fa2633c190c">2017-06-15 15:11:07,582 FATAL [Hostname:16000.activeMasterManager] master.HMaster: Unhandled exception. Starting shutdown.
+java.io.IOException: Timedout 120000ms waiting for namespace table to be assigned
+        at org.apache.hadoop.hbase.master.TableNamespaceManager.start(TableNamespaceManager.java:98)
+        at org.apache.hadoop.hbase.master.HMaster.initNamespace(HMaster.java:1054)
+        at org.apache.hadoop.hbase.master.HMaster.finishActiveMasterInitialization(HMaster.java:848)
+        at org.apache.hadoop.hbase.master.HMaster.access$600(HMaster.java:199)
+        at org.apache.hadoop.hbase.master.HMaster$2.run(HMaster.java:1871)
+        at java.lang.Thread.run(Thread.java:745)</pre>
+</div>
+<div class="section" id="mrs_01_1654__s6a99ab83e06c4fd193b8228a53388a41"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1654__adff3c9c3770c4c7d89331317d948a0de">When meta is rebuilt by OfflineMetaRepair tool then HMaster wait for all region server's WAL split during start up to avoid the data inconsistency problem. HMaster trigger user regions assignment once WAL split completes. So when the cluster is in the unusual scenario, there are chances WAL splitting may take long time which depends on multiple factors like too many WALs, slow I/O, region servers are not stable etc.</p>
+<p id="mrs_01_1654__a77d11dde73b64bfb9c3b16353fc582c2">HMaster should be able to finish all region server WAL splitting successfully. Perform the following steps.</p>
+<ol id="mrs_01_1654__o61459ccc17ed4d2db0e89d7df147a08b"><li id="mrs_01_1654__l648635d86bb34ac9b73fb6802e1d6d81">Make sure cluster is stable, no other problem exist. If any problem occurs, please correct them first.</li><li id="mrs_01_1654__l1e569c37e02d489cb93c1b85b0b7a375">Configure a large value to <span class="parmname" id="mrs_01_1654__peab7d63f3a964c0784a6494a7515c3a2"><b>hbase.master.initializationmonitor.timeout</b></span> parameters, default value is <span class="parmvalue" id="mrs_01_1654__p0764395c0b934914b69bd74f2c9a441f"><b>3600000</b></span> milliseconds.</li><li id="mrs_01_1654__l6334469a383440a298a08ef01ccc565f">Restart HBase service.</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1638.html">Common Issues About HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1655.html b/docs/mrs/component-operation-guide/mrs_01_1655.html
new file mode 100644
index 000000000..f34aef63c
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1655.html
@@ -0,0 +1,61 @@
+<a name="mrs_01_1655"></a><a name="mrs_01_1655"></a>
+
+<h1 class="topictitle1">Why Messages Containing FileNotFoundException and no lease Are Frequently Displayed in the HMaster Logs During the WAL Splitting Process?</h1>
+<div id="body1596003895088"><div class="section" id="mrs_01_1655__s0eac6650fac740c4867316cdffdaaad1"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1655__aaa2c6d54135f4f11919f267c7a4e2aca">Why messages containing FileNotFoundException and no lease are frequently displayed in the HMaster logs during the WAL splitting process?</p>
+<pre class="screen" id="mrs_01_1655__s00c7b4376458444fa4d066d435dd0712">2017-06-10 09:50:27,586 | ERROR | split-log-closeStream-2 | Couldn't close log at hdfs://hacluster/hbase/data/default/largeT1/2b48346d087275fe751fc049334fda93/recovered.edits/0000000000000000000.temp | org.apache.hadoop.hbase.wal.WALSplitter$LogRecoveredEditsOutputSink$2.call(WALSplitter.java:1330)
+java.io.FileNotFoundException: No lease on /hbase/data/default/largeT1/2b48346d087275fe751fc049334fda93/recovered.edits/0000000000000000000.temp (inode 1092653): File does not exist. [Lease.  Holder: DFSClient_NONMAPREDUCE_1202985678_1, pendingcreates: 1936]
+?at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkLease(FSNamesystem.java:3432)
+?at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.analyzeFileState(FSNamesystem.java:3223)
+?at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getNewBlockTargets(FSNamesystem.java:3057)
+?at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:3011)
+?at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.addBlock(NameNodeRpcServer.java:842)
+?at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.addBlock(ClientNamenodeProtocolServerSideTranslatorPB.java:526)
+?at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
+?at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:616)
+?at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:973)
+?at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2260)
+?at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2256)
+?at java.security.AccessController.doPrivileged(Native Method)
+?at javax.security.auth.Subject.doAs(Subject.java:422)
+?at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1769)
+?at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2254)
+
+?at sun.reflect.GeneratedConstructorAccessor40.newInstance(Unknown Source)
+?at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
+?at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
+?at org.apache.hadoop.ipc.RemoteException.instantiateException(RemoteException.java:106)
+?at org.apache.hadoop.ipc.RemoteException.unwrapRemoteException(RemoteException.java:73)
+?at org.apache.hadoop.hdfs.DataStreamer.locateFollowingBlock(DataStreamer.java:1842)
+?at org.apache.hadoop.hdfs.DataStreamer.nextBlockOutputStream(DataStreamer.java:1639)
+?at org.apache.hadoop.hdfs.DataStreamer.run(DataStreamer.java:665)</pre>
+</div>
+<div class="section" id="mrs_01_1655__s96dd62f408954e2b80a1c41bedfca029"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1655__a2146f74a3b2543c7ab7cb5d4d7eddd95">During the WAL splitting process, the WAL splitting timeout period is specified by the <span class="parmname" id="mrs_01_1655__parmname158630236055043"><b>hbase.splitlog.manager.timeout</b></span> parameter. If the WAL splitting process fails to complete within the timeout period, the task is submitted again. Multiple WAL splitting tasks may be submitted during a specified period. If the <strong id="mrs_01_1655__b14014540555043">temp</strong> file is deleted when one WAL splitting task completes, other tasks cannot find the file and the FileNotFoudException exception is reported. To avoid the problem, perform the following modifications:</p>
+<p id="mrs_01_1655__af33f13037e824319864d436055bdb852">The default value of <span class="parmname" id="mrs_01_1655__parmname154030586055043"><b>hbase.splitlog.manager.timeout</b></span> is 600,000 ms. The cluster specification is that each RegionServer has 2,000 to 3,000 regions. When the cluster is normal (HBase is normal and HDFS does not have a large number of read and write operations), you are advised to adjust this parameter based on the cluster specifications. If the actual specifications (the actual average number of regions on each RegionServer) are greater than the default specifications (the default average number of regions on each RegionServer, that is, 2,000), the adjustment solution is (actual specifications/default specifications) x Default time.</p>
+<p id="mrs_01_1655__ab2ffcdb6b89445b1ace73cf7005a3389">Set the <strong id="mrs_01_1655__b70275479355043">splitlog</strong> parameter in the <span class="filepath" id="mrs_01_1655__filepath109380410355043"><b>hbase-site.xml</b></span> file on the server. <a href="#mrs_01_1655__td061a2527dd94860b0b6d9989d7fd9ee">Table 1</a> describes the parameter.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1655__td061a2527dd94860b0b6d9989d7fd9ee"></a><a name="td061a2527dd94860b0b6d9989d7fd9ee"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1655__td061a2527dd94860b0b6d9989d7fd9ee" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Description of the <strong id="mrs_01_1655__b82326037355043">splitlog</strong> parameter</caption><thead align="left"><tr id="mrs_01_1655__rb73a1c19817848cc8d637a2cad0e2df8"><th align="left" class="cellrowborder" valign="top" width="18.86%" id="mcps1.3.2.5.2.4.1.1"><p id="mrs_01_1655__ad1021f74e68044aab92d5711aa80b143"><strong id="mrs_01_1655__aacdf4422109140f5a0c4b781fdbe8eb0">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="57.21000000000001%" id="mcps1.3.2.5.2.4.1.2"><p id="mrs_01_1655__a87557042b611415e8d1e4b233bb595c0"><strong id="mrs_01_1655__a74b792dbcbf841db80a5efcc575694eb">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="23.93%" id="mcps1.3.2.5.2.4.1.3"><p id="mrs_01_1655__a8d32a4a805984a35b0aff71ed22639d7"><strong id="mrs_01_1655__abd65f601d52b4035849c9e92de255e7b">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1655__r55a86f803f21406f823979aa6d30c948"><td class="cellrowborder" valign="top" width="18.86%" headers="mcps1.3.2.5.2.4.1.1 "><p id="mrs_01_1655__ae8da6648cab74696a1aeec64204d5170">hbase.splitlog.manager.timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.21000000000001%" headers="mcps1.3.2.5.2.4.1.2 "><p id="mrs_01_1655__p102861459171011">Timeout period for receiving worker response by the distributed SplitLog management program.</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.93%" headers="mcps1.3.2.5.2.4.1.3 "><p id="mrs_01_1655__a41e43df7f2874bb7b30115257858d96a">600000</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1638.html">Common Issues About HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1657.html b/docs/mrs/component-operation-guide/mrs_01_1657.html
new file mode 100644
index 000000000..489dc7a77
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1657.html
@@ -0,0 +1,23 @@
+<a name="mrs_01_1657"></a><a name="mrs_01_1657"></a>
+
+<h1 class="topictitle1">Insufficient Rights When a Tenant Accesses Phoenix</h1>
+<div id="body1596003895091"><div class="section" id="mrs_01_1657__s471d57d172654a3ba2abc29000dbc2a6"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1657__en-us_topic_0116216828_p524547991934">When a tenant accesses Phoenix, a message is displayed indicating that the tenant has insufficient rights.</p>
+</div>
+<div class="section" id="mrs_01_1657__sa96d28db02d244a8861fa4af825f7509"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1657__a7c52261c17e340cea578dbb1bf0ca8d4">You need to associate the HBase service and Yarn queues when creating a tenant.</p>
+<p id="mrs_01_1657__a98d3601f2b9a426d944768f2490707b7">The tenant must be granted additional rights to perform operations on Phoenix, that is, the RWX permission on the Phoenix system table.</p>
+<p id="mrs_01_1657__a233f564ad88445f592379b18e0ffb5ae">Example:</p>
+<p id="mrs_01_1657__aceacf123cfd3414ba6f8bc42d8516afc">Tenant <strong id="mrs_01_1657__a3c4f31ad03344ec7ada2a05f5649da1a">hbase</strong> has been created. Log in to the HBase Shell as user <strong id="mrs_01_1657__a710bc5af3f7244bebb19f6fdb576977e">admin</strong> and run the <strong id="mrs_01_1657__afda998becf834587b98cbbc8d3c0503f">scan 'hbase:acl'</strong> command to query the role of the tenant. The role is <strong id="mrs_01_1657__ac0499f74381b4cca8dc0ba5b34659499">hbase_1450761169920</strong> (in the format of tenant name_timestamp).</p>
+<p id="mrs_01_1657__acc020f953d8a46e9ba9d24338d87fcba">Run the following commands to grant rights to the tenant (if the Phoenix system table has not been generated, log in to the Phoenix client as user <strong id="mrs_01_1657__ab70278959a7e47d49d9fe58a8d14f3d3">admin</strong> first and then grant rights on the HBase Shell):</p>
+<p id="mrs_01_1657__a2cfb7ba980314fc6a3692f9d39a1f870"><strong id="mrs_01_1657__a243b16bf6c804acb8af74ba783f5e615">grant '@hbase_1450761169920','RWX','SYSTEM.CATALOG'</strong></p>
+<p id="mrs_01_1657__en-us_topic_0116216828_p512792891958"><strong id="mrs_01_1657__a6e3055d895f84899877c4f671c2da462">grant '@hbase_1450761169920','RWX','SYSTEM.FUNCTION'</strong></p>
+<p id="mrs_01_1657__aa29a3e3012a24a29ac29fdea16e3c0a8"><strong id="mrs_01_1657__en-us_topic_0116216828_b165297792056">grant '@hbase_1450761169920','RWX','SYSTEM.SEQUENCE'</strong></p>
+<p id="mrs_01_1657__a4ce1a2fd9f344910895026f8a9fdaee5"><strong id="mrs_01_1657__a7779d8b8914944959ae786f42c575dd5">grant '@hbase_1450761169920','RWX','SYSTEM.STATS'</strong></p>
+<p id="mrs_01_1657__a6c2d6e291e424c6b9504d775617ac7eb">Create user <strong id="mrs_01_1657__en-us_topic_0116216828_b560757319210">phoenix</strong> and bind it with tenant <strong id="mrs_01_1657__en-us_topic_0116216828_b284263759214">hbase</strong>, so that tenant <strong id="mrs_01_1657__en-us_topic_0116216828_b602683549217">hbase</strong> can access the Phoenix client as user <strong id="mrs_01_1657__ade8616f7451f4619a3a462ad8610603b">phoenix</strong>.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1638.html">Common Issues About HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1659.html b/docs/mrs/component-operation-guide/mrs_01_1659.html
new file mode 100644
index 000000000..fb09e68e6
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1659.html
@@ -0,0 +1,18 @@
+<a name="mrs_01_1659"></a><a name="mrs_01_1659"></a>
+
+<h1 class="topictitle1">What Can I Do When HBase Fails to Recover a Task and a Message Is Displayed Stating "Rollback recovery failed"?</h1>
+<div id="body1596003895095"><div class="section" id="mrs_01_1659__s0d75574469bd460f87878b6f2e2d2866"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1659__en-us_topic_0116216659_p291607620251">The system automatically rolls back data after an HBase recovery task fails. If "Rollback recovery failed" is displayed, the rollback fails. After the rollback fails, data stops being processed and the junk data may be generated. How can I resolve this problem?</p>
+</div>
+<div class="section" id="mrs_01_1659__s50e8c7a469d94a4d9cf53ead971b7881"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1659__en-us_topic_0116216659_p196369182039">You need to manually clear the junk data before performing the backup or recovery task next time.</p>
+<ol id="mrs_01_1659__o1b50f7dd7f534e74bfda83d4e960c9b7"><li id="mrs_01_1659__l57959cf11dc74b388d62a55b172f9fa6"><span>Install the cluster client in <strong id="mrs_01_1659__b861843416215">/opt/client</strong>.</span></li><li id="mrs_01_1659__l724fdfd393dc4ee4b8854fb07e114dff"><span>Run <strong id="mrs_01_1659__b750463602117">source /opt/client/bigdata_env</strong> as the client installation user to configure the environment variable.</span></li><li id="mrs_01_1659__lc78ee31171b54bc988743bab2a08bbc9"><span>Run <strong id="mrs_01_1659__b9323338162114">kinit admin</strong>.</span></li><li id="mrs_01_1659__l8104ce4be72e4d02a008b0b0f51bb46e"><span>Run <strong id="mrs_01_1659__b0600104014217">zkCli.sh -server </strong><em id="mrs_01_1659__i1160144022112">business IP address of ZooKeeper</em><strong id="mrs_01_1659__b36011740162115">:2181</strong> to connect to the ZooKeeper.</span></li><li id="mrs_01_1659__la905b9f75fed447f8d3cd219202c3d44"><span>Run <strong id="mrs_01_1659__b53211857192114">deleteall /recovering</strong> to delete the junk data. Run <strong id="mrs_01_1659__b1555312593219">quit</strong> to disconnect ZooKeeper.</span><p><div class="note" id="mrs_01_1659__note77241126439"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1659__p37251025435">Running this command will cause data loss. Exercise caution.</p>
+</div></div>
+</p></li><li id="mrs_01_1659__ldd3e318f57974e6981a564f8a6dfc182"><span>Run <strong id="mrs_01_1659__b55582182218">hdfs dfs -rm -f -r /user/hbase/backup</strong> to delete temporary data.</span></li><li id="mrs_01_1659__l7fa266df15b04958a674dcb4a5e2971d"><span>Log in to FusionInsight Manager and choose <strong id="mrs_01_1659__b546919305481">O&amp;M</strong>. In the navigation pane on the left, choose <strong id="mrs_01_1659__b123060452346">Backup and Restoration</strong> &gt; <strong id="mrs_01_1659__b687198409">Restoration Management</strong>. In the task list, locate the row that contains the target task and click <strong id="mrs_01_1659__b172433391001">View History</strong> in the <strong id="mrs_01_1659__b158761344804">Operation</strong> column. In the displayed dialog box, click <span><img id="mrs_01_1659__image101475165510" src="en-us_image_0000001349170329.png"></span> before a specified execution record to view the snapshot name.</span><p><pre class="screen" id="mrs_01_1659__s313bf24b12bc4ce2adc6ed0ea2701d26">Snapshot [ <em id="mrs_01_1659__a188f6fdf15204e39984db8e5348ef265">snapshot name</em> ] is created successfully before recovery.</pre>
+</p></li><li id="mrs_01_1659__la9e10256a1a9487e9a0787f7c3c5a0d0"><span>Switch to the client, run <strong id="mrs_01_1659__b1340091252215">hbase shell</strong>, and then <strong id="mrs_01_1659__b1540521252215">delete_all_snapshot </strong>'<em id="mrs_01_1659__i24051312182213">snapshot name</em><strong id="mrs_01_1659__b204061512202213">.*'</strong> to delete the temporary snapshot.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1638.html">Common Issues About HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1660.html b/docs/mrs/component-operation-guide/mrs_01_1660.html
new file mode 100644
index 000000000..bbe9e8ee1
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1660.html
@@ -0,0 +1,17 @@
+<a name="mrs_01_1660"></a><a name="mrs_01_1660"></a>
+
+<h1 class="topictitle1">How Do I Fix Region Overlapping?</h1>
+<div id="body1596003895096"><div class="section" id="mrs_01_1660__s0d75574469bd460f87878b6f2e2d2866"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1660__p184541132134119">When the HBaseFsck tool is used to check the region status in MRS 3.x and later versions, if the log contains <strong id="mrs_01_1660__b13822193917221">ERROR: (regions region1 and region2) There is an overlap in the region chain</strong> or <strong id="mrs_01_1660__b13827183922214">ERROR: (region region1) Multiple regions have the same startkey: xxx</strong>, overlapping exists in some regions. How do I solve this problem?</p>
+</div>
+<div class="section" id="mrs_01_1660__section13267010154119"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1660__p1654112154910">To rectify the fault, perform the following steps:</p>
+<ol id="mrs_01_1660__o1b50f7dd7f534e74bfda83d4e960c9b7"><li id="mrs_01_1660__l57959cf11dc74b388d62a55b172f9fa6"><a name="mrs_01_1660__l57959cf11dc74b388d62a55b172f9fa6"></a><a name="l57959cf11dc74b388d62a55b172f9fa6"></a><span>Run the <strong id="mrs_01_1660__b1536852411434">hbase hbck -repair </strong><em id="mrs_01_1660__i8669624164310">tableName</em> command to restore the table that contains overlapping.</span></li><li id="mrs_01_1660__li157993378533"><span>Run the <strong id="mrs_01_1660__b226532810439">hbase hbck </strong><em id="mrs_01_1660__i13521162814310">tableName</em> command to check whether overlapping exists in the restored table.</span><p><ul id="mrs_01_1660__ul42291205559"><li id="mrs_01_1660__li122916204551">If overlapping does not exist, go to <a href="#mrs_01_1660__lc78ee31171b54bc988743bab2a08bbc9">3</a>.</li><li id="mrs_01_1660__li338222305513">If overlapping exists, go to <a href="#mrs_01_1660__l57959cf11dc74b388d62a55b172f9fa6">1</a>.</li></ul>
+</p></li><li id="mrs_01_1660__lc78ee31171b54bc988743bab2a08bbc9"><a name="mrs_01_1660__lc78ee31171b54bc988743bab2a08bbc9"></a><a name="lc78ee31171b54bc988743bab2a08bbc9"></a><span>Log in to FusionInsight Manager and choose <strong id="mrs_01_1660__b1445443053215">Cluster</strong> &gt; <em id="mrs_01_1660__i845415308325">Name of the desired cluster</em> &gt; <strong id="mrs_01_1660__b1445517303320">Services</strong> &gt; <strong id="mrs_01_1660__b345511309322">HBase</strong> &gt; <strong id="mrs_01_1660__b1445663018328">More</strong> &gt; <strong id="mrs_01_1660__b6456183013321">Perform HMaster Switchover</strong> to complete the HMaster active/standby switchover.</span></li><li id="mrs_01_1660__l8104ce4be72e4d02a008b0b0f51bb46e"><span>Run the <strong id="mrs_01_1660__b10896143218434">hbase hbck </strong><em id="mrs_01_1660__i1924120338433">tableName</em> command to check whether overlapping exists in the restored table.</span><p><ul id="mrs_01_1660__ul22891433155911"><li id="mrs_01_1660__li1628973395918">If overlapping does not exist, no further action is required.</li><li id="mrs_01_1660__li8289533105914">If overlapping still exists, start from <a href="#mrs_01_1660__l57959cf11dc74b388d62a55b172f9fa6">1</a> to perform the recovery again.</li></ul>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1638.html">Common Issues About HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1661.html b/docs/mrs/component-operation-guide/mrs_01_1661.html
new file mode 100644
index 000000000..e3120bc43
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1661.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_1661"></a><a name="mrs_01_1661"></a>
+
+<h1 class="topictitle1">Why Does RegionServer Fail to Be Started When GC Parameters Xms and Xmx of HBase RegionServer Are Set to 31 GB?</h1>
+<div id="body1596003895097"><div class="section" id="mrs_01_1661__s0d75574469bd460f87878b6f2e2d2866"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1661__p184541132134119">(MRS 3.x and later versions) Check the <strong id="mrs_01_1661__b1437910910334">hbase-omm-*.out</strong> log of the node where RegionServer fails to be started. It is found that the log contains <strong id="mrs_01_1661__b53842912339">An error report file with more information is saved as: /tmp/hs_err_pid*.log</strong>. Check the <strong id="mrs_01_1661__b1238413913320">/tmp/hs_err_pid*.log</strong> file. It is found that the log contains <strong id="mrs_01_1661__b11385191337">#Internal Error (vtableStubs_aarch64.cpp:213), pid=9456, tid=0x0000ffff97fdd200 and #guarantee(__ pc() &lt;= s-&gt;code_end()) failed: overflowed buffer</strong>, indicating that the problem is caused by JDK. How do I solve this problem?</p>
+</div>
+<div class="section" id="mrs_01_1661__section959474614266"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1661__p123131815194011">To rectify the fault, perform the following steps:</p>
+<ol id="mrs_01_1661__ol84371210114011"><li id="mrs_01_1661__l57959cf11dc74b388d62a55b172f9fa6"><span>Run the <strong id="mrs_01_1661__b1441455133317">su - omm</strong> command on a node where RegionServer fails to be started to switch to user <strong id="mrs_01_1661__b12419651103319">omm</strong>.</span></li><li id="mrs_01_1661__li124971844104312"><span>Run the <strong id="mrs_01_1661__b751317541339">java -XX:+PrintFlagsFinal -version |grep HeapBase</strong> command as user <strong id="mrs_01_1661__b195141754193317">omm</strong>. Information similar to the following is displayed:</span><p><pre class="screen" id="mrs_01_1661__screen17533125384315">uintx HeapBaseMinAddress = 2147483648 {pd product}</pre>
+</p></li><li id="mrs_01_1661__li238311424418"><span>Change the values of <strong id="mrs_01_1661__b12831135714330">-Xms</strong> and <strong id="mrs_01_1661__b5837185763319">-Xmx</strong> in <strong id="mrs_01_1661__b1883765713310">GC_OPTS</strong> to values that are not between <strong id="mrs_01_1661__b1183865718337">32G-HeapBaseMinAddress</strong> and <strong id="mrs_01_1661__b88393575339">32G</strong>, excluding the values of <strong id="mrs_01_1661__b28394577337">32G</strong> and <strong id="mrs_01_1661__b284018571336">32G-HeapBaseMinAddress</strong>.</span></li><li id="mrs_01_1661__li862614818413"><span>Log in to FusionInsight Manager, choose <strong id="mrs_01_1661__b1389036123417">Cluster</strong> &gt; <em id="mrs_01_1661__i1989612615349">Name of the desired cluster</em> &gt; <strong id="mrs_01_1661__b58961066348">Services</strong> &gt; <strong id="mrs_01_1661__b138975618349">HBase</strong> &gt; <strong id="mrs_01_1661__b138988615346">Instance</strong>, select the failed instance, and choose <strong id="mrs_01_1661__b16899126113411">More</strong> &gt; <strong id="mrs_01_1661__b118991069345">Restart Instance</strong> to restart the failed instance.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1638.html">Common Issues About HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1662.html b/docs/mrs/component-operation-guide/mrs_01_1662.html
new file mode 100644
index 000000000..7522b6429
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1662.html
@@ -0,0 +1,69 @@
+<a name="mrs_01_1662"></a><a name="mrs_01_1662"></a>
+
+<h1 class="topictitle1">Creating an HDFS Role</h1>
+<div id="body1595904092427"><div class="section" id="mrs_01_1662__sbc30082d821d4b1099fd200b9d875239"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1662__aeed1d3ec23234cb2bcddc520171402b7">This section describes how to create and configure an HDFS role on FusionInsight Manager. The HDFS role is granted the rights to read, write, and execute HDFS directories or files.</p>
+</div>
+<p id="mrs_01_1662__afaf1cb58194f4a6f9784bae844bf7e06">A user has the complete permission on the created HDFS directories or files, that is, the user can directly read data from and write data to as well as authorize others to access the HDFS directories or files.</p>
+<div class="note" id="mrs_01_1662__n29c1b1a00b05409db5744f05b20ff015"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1662__ul2057514402121"><li id="mrs_01_1662__li779111418818">This section applies to MRS 3.<em id="mrs_01_1662__i81881437577">x</em> or later clusters.</li><li id="mrs_01_1662__li6576340181216">An HDFS role can be created only in security mode.</li><li id="mrs_01_1662__li105761840131216">If the current component uses Ranger for permission control, HDFS policies must be configured based on Ranger for permission management. For details, see <a href="mrs_01_1856.html">Adding a Ranger Access Permission Policy for HDFS</a>.</li></ul>
+</div></div>
+<div class="section" id="mrs_01_1662__seab5c17fe0114e658ff1740e828d76e7"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_1662__p144134955510">The system administrator has understood the service requirements.</p>
+</div>
+<div class="section" id="mrs_01_1662__s1f01f7c0c95a4fffa3b0ffdcaca38456"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1662__o6536c1fccc3f4a48abe1020fbb82a2b1"><li id="mrs_01_1662__l42a6593d7496460584caffa59ce793fa"><span>Log in to FusionInsight Manager, and choose <strong id="mrs_01_1662__b53822268533140">System</strong> &gt; <strong id="mrs_01_1662__b195654113733140">Permission</strong> &gt; <strong id="mrs_01_1662__b109389654133140">Role</strong>.</span></li><li id="mrs_01_1662__l48758865b7134c5180ee9cd098d62358"><span>On the displayed page, click <strong id="mrs_01_1662__b63252530933140">Create Role</strong> and fill in <strong id="mrs_01_1662__b178642582733140">Role Name</strong> and <strong id="mrs_01_1662__b156539806633140">Description</strong>.</span></li><li id="mrs_01_1662__l7186161e0bef46d2b0bbba48f47811cd"><span>Configure the resource permission. For details, see <a href="#mrs_01_1662__tc5a4f557e6144488a1ace112bb8db6ee">Table 1</a>.</span><p><p id="mrs_01_1662__ab8ae5d5a99854d20b55c4ec319ff2546"><strong id="mrs_01_1662__b53397793033140">File System</strong>: HDFS directory and file permission</p>
+<p id="mrs_01_1662__a3f92db705bd44dd2b135ac2da23aa4e6">Common HDFS directories are as follows:</p>
+<ul id="mrs_01_1662__ubc9bc86b5cd343649173588dea71264c"><li id="mrs_01_1662__ld0aede70227842368077462316c737af"><strong id="mrs_01_1662__b174407375233140">flume</strong>: Flume data storage directory</li><li id="mrs_01_1662__l84392a20a0454b8e836dd6f909c65dea"><strong id="mrs_01_1662__b111971777933140">hbase</strong>: HBase data storage directory</li><li id="mrs_01_1662__ld917dade795147cbbba7202cc8baaf38"><strong id="mrs_01_1662__b203533970533140">mr-history</strong>: MapReduce task information storage directory</li><li id="mrs_01_1662__l099d59d8db134c00b759a98073daa569"><strong id="mrs_01_1662__b68616848833140">tmp</strong>: temporary data storage directory</li><li id="mrs_01_1662__ld84c8596da274c05a0903739839ac2f8"><strong id="mrs_01_1662__b182849416733140">user</strong>: user data storage directory
+<div class="tablenoborder"><a name="mrs_01_1662__tc5a4f557e6144488a1ace112bb8db6ee"></a><a name="tc5a4f557e6144488a1ace112bb8db6ee"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1662__tc5a4f557e6144488a1ace112bb8db6ee" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Setting a role</caption><thead align="left"><tr id="mrs_01_1662__rf34d31ecea1e4bfa83b3c049c1dd41f8"><th align="left" class="cellrowborder" valign="top" width="37.41%" id="mcps1.3.5.2.3.2.3.5.2.2.3.1.1"><p id="mrs_01_1662__aadbfbbb39d0e4ba8a7478c93d9cad42e">Task</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="62.59%" id="mcps1.3.5.2.3.2.3.5.2.2.3.1.2"><p id="mrs_01_1662__acf9e0c106c8d4c9c9cd716218e90bdae">Operation</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1662__row1296983113534"><td class="cellrowborder" valign="top" width="37.41%" headers="mcps1.3.5.2.3.2.3.5.2.2.3.1.1 "><p id="mrs_01_1662__p57634569113541">Setting the HDFS administrator permission</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.59%" headers="mcps1.3.5.2.3.2.3.5.2.2.3.1.2 "><p id="mrs_01_1662__p53793122113534">In the <strong id="mrs_01_1662__b27588875433140">Configure Resource Permission</strong> area, choose <em id="mrs_01_1662__i133079664033140">Name of the desired cluster</em> &gt; HDFS, and select <strong id="mrs_01_1662__b110985369833140">Cluster Admin Operations</strong>.</p>
+<div class="note" id="mrs_01_1662__note15565386114138"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1662__p48391724115538">The setting takes effect after the HDFS service is restarted.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1662__rf9e165cafb794eb68c0c4850bc7c9547"><td class="cellrowborder" valign="top" width="37.41%" headers="mcps1.3.5.2.3.2.3.5.2.2.3.1.1 "><p id="mrs_01_1662__a2474c3f6e8c34b6bb82e42bbdb74ea85">Setting the permission for users to check and recover HDFS</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.59%" headers="mcps1.3.5.2.3.2.3.5.2.2.3.1.2 "><ol type="a" id="mrs_01_1662__o1e958b1ec20d47768de7dd002b059e50"><li id="mrs_01_1662__ld973a3178b874b2991a34724362edeaa">In the <strong id="mrs_01_1662__b117835610533140">Configure Resource Permission</strong> area, choose <em id="mrs_01_1662__i82816581733140">Name of the desired cluster</em> &gt; HDFS &gt; <strong id="mrs_01_1662__b10034037133140">File System</strong>.</li><li id="mrs_01_1662__l90a887e837424d2e9d0e4edb5bc29030">Locate the save path of specified directories or files on HDFS.</li><li id="mrs_01_1662__la261edb792114984b435ac93df993a6c">In the <strong id="mrs_01_1662__b102155236233140">Permission</strong> column of the specified directories or files, select <strong id="mrs_01_1662__b66831104833140">Read</strong> and <strong id="mrs_01_1662__b11725941133140">Execute</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1662__rac8abf6080f948f2837354b9ee1f2eae"><td class="cellrowborder" valign="top" width="37.41%" headers="mcps1.3.5.2.3.2.3.5.2.2.3.1.1 "><p id="mrs_01_1662__a44e5153fd70d40e39b0a15843dadcbc3">Setting the permission for users to read directories or files of other users</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.59%" headers="mcps1.3.5.2.3.2.3.5.2.2.3.1.2 "><ol type="a" id="mrs_01_1662__o9a0ec8b0fd9e42d382778df75c50cbe1"><li id="mrs_01_1662__l9aece9da53d64ea598689e86defcd384">In the <strong id="mrs_01_1662__b108749812033140">Configure Resource Permission</strong> area, choose <em id="mrs_01_1662__i168733683733140">Name of the desired cluster</em> &gt; HDFS &gt; <strong id="mrs_01_1662__b1233426933140">File System</strong>.</li><li id="mrs_01_1662__l9241f800116446859abc5c9dc4186825">Locate the save path of specified directories or files on HDFS.</li><li id="mrs_01_1662__l6dfdbf89d41a4bd79c5d6fc664702669">In the <strong id="mrs_01_1662__b196781170933140">Permission</strong> column of the specified directories or files, select <strong id="mrs_01_1662__b206568084033140">Read</strong> and <strong id="mrs_01_1662__b208138321533140">Execute</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1662__r8fed251f76ed451c8aac26345e3c05eb"><td class="cellrowborder" valign="top" width="37.41%" headers="mcps1.3.5.2.3.2.3.5.2.2.3.1.1 "><p id="mrs_01_1662__a704526dfe1054cb2896940af773263dc">Setting the permission for users to write data to files of other users</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.59%" headers="mcps1.3.5.2.3.2.3.5.2.2.3.1.2 "><ol type="a" id="mrs_01_1662__o4fa07111ada04dfc8e7c44b5a19c4834"><li id="mrs_01_1662__l12b368c90f184fd0abcc78cb3c2b141a">In the <strong id="mrs_01_1662__b105171368333140">Configure Resource Permission</strong> area, choose <em id="mrs_01_1662__i147424055233140">Name of the desired cluster</em> &gt; HDFS &gt; <strong id="mrs_01_1662__b99684533433140">File System</strong>.</li><li id="mrs_01_1662__l8d58d349fcd042c3b69dfcbe8788d741">Locate the save path of specified files on HDFS.</li><li id="mrs_01_1662__ld8bc3344800448908c36bc13c73993c8">In the <strong id="mrs_01_1662__b78266063233140">Permission</strong> column of the specified files, select <strong id="mrs_01_1662__b133109034933140">Write</strong> and <strong id="mrs_01_1662__b76661329333140">Execute</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1662__re017a0dbcf9e42efa1310e1106db7d31"><td class="cellrowborder" valign="top" width="37.41%" headers="mcps1.3.5.2.3.2.3.5.2.2.3.1.1 "><p id="mrs_01_1662__a21c768ba621b4b848ae8e2ef41a978a0">Setting the permission for users to create or delete sub-files or sub-directories in the directory of other users</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.59%" headers="mcps1.3.5.2.3.2.3.5.2.2.3.1.2 "><ol type="a" id="mrs_01_1662__oe6b0d0e9c3a0463385039a4affb02ac7"><li id="mrs_01_1662__l5c40ffa5c0f4406f90e7a35767cff02c">In the <strong id="mrs_01_1662__b8748148233140">Configure Resource Permission</strong> area, choose <em id="mrs_01_1662__i100691328233140">Name of the desired cluster</em> &gt; HDFS &gt; <strong id="mrs_01_1662__b111247929233140">File System</strong>.</li><li id="mrs_01_1662__le564127e4e1b4a5e839c95dcd918a379">Locate the path where the specified directory is saved in the HDFS.</li><li id="mrs_01_1662__lcc818b93fd7f45ce8a4ffd6b3aae63a8">In the <strong id="mrs_01_1662__b107085745733140">Permission</strong> column of the specified directories, select <strong id="mrs_01_1662__b181933554033140">Write</strong> and <strong id="mrs_01_1662__b20604971433140">Execute</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1662__rd5217b631eb6421aa7c45644bc254a13"><td class="cellrowborder" valign="top" width="37.41%" headers="mcps1.3.5.2.3.2.3.5.2.2.3.1.1 "><p id="mrs_01_1662__a32d8391db46e4787a7d096da8a671898">Setting the permission for users to execute directories or files of other users</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.59%" headers="mcps1.3.5.2.3.2.3.5.2.2.3.1.2 "><ol type="a" id="mrs_01_1662__o80b909ed22fd45f8baffe926ef71587f"><li id="mrs_01_1662__l05df1160fa23400f9ef32bb90046305e">In the <strong id="mrs_01_1662__b186277375033140">Configure Resource Permission</strong> area, choose <em id="mrs_01_1662__i174989994833140">Name of the desired cluster</em> &gt; HDFS &gt; <strong id="mrs_01_1662__b16336561733140">File System</strong>.</li><li id="mrs_01_1662__l42037a022e9c45618538549b593f7a3d">Locate the save path of specified directories or files on HDFS.</li><li id="mrs_01_1662__l2a448ca013bc4123ba33c29bc60b8ae1">In the <strong id="mrs_01_1662__b190847079733140">Permission</strong> column of the specified directories or files, select <strong id="mrs_01_1662__b2608949033140">Execute</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1662__r8e38f61d29dd4e1891c772dbac3b9553"><td class="cellrowborder" valign="top" width="37.41%" headers="mcps1.3.5.2.3.2.3.5.2.2.3.1.1 "><p id="mrs_01_1662__aa0f319c900db48d09482597f63c8c3a8">Setting the permission for allowing subdirectories to inherit all permissions of their parent directories</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.59%" headers="mcps1.3.5.2.3.2.3.5.2.2.3.1.2 "><ol type="a" id="mrs_01_1662__o5ed1ea0602864bf69370bc42e1862a76"><li id="mrs_01_1662__l8f68db749be04f85834a14e4c37741b2">In the <strong id="mrs_01_1662__b149008476533140">Configure Resource Permission</strong> area, choose <em id="mrs_01_1662__i60885977033140">Name of the desired cluster</em> &gt; HDFS &gt; <strong id="mrs_01_1662__b84529042733140">File System</strong>.</li><li id="mrs_01_1662__lf516996aa2224b9e9341f8e4326c1a6e">Locate the save path of specified directories or files on HDFS.</li><li id="mrs_01_1662__l93b59f0c5d54426aa46fd67f66cf3910">In the <strong id="mrs_01_1662__b156759371033140">Permission</strong> column of the specified directories or files, select <strong id="mrs_01_1662__b64976689733140">Recursive</strong>.</li></ol>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+</p></li><li id="mrs_01_1662__l85da2df4496c447ebe9958a68d8318e8"><span>Click <strong id="mrs_01_1662__b5868909833140">OK</strong>, and return to the <strong id="mrs_01_1662__b213691541333140">Role</strong> page.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1663.html b/docs/mrs/component-operation-guide/mrs_01_1663.html
new file mode 100644
index 000000000..cbd64cc42
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+++ b/docs/mrs/component-operation-guide/mrs_01_1663.html
@@ -0,0 +1,92 @@
+<a name="mrs_01_1663"></a><a name="mrs_01_1663"></a>
+
+<h1 class="topictitle1">Using the HDFS Client</h1>
+<div id="body1595904092462"><div class="section" id="mrs_01_1663__se9608011680e423ca403d5207c374daa"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1663__a38fb70b283514ab78798b4fe0c90e0b6">This section describes how to use the HDFS client in an O&amp;M scenario or service scenario. </p>
+</div>
+<div class="section" id="mrs_01_1663__sa8a135a114cf4cbc8674242bd0cfebd7"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1663__u20fcfd465a494c5598386a4ce5d296d7"><li id="mrs_01_1663__la7415f93eb2e4da28a053cbf667f0824">The client has been installed.<p id="mrs_01_1663__a57a39be1ee37483eafbd78350f970751"><a name="mrs_01_1663__la7415f93eb2e4da28a053cbf667f0824"></a><a name="la7415f93eb2e4da28a053cbf667f0824"></a>For example, the installation directory is <strong id="mrs_01_1663__b1257120543614">/opt/hadoopclient</strong>. The client directory in the following operations is only an example. Change it to the actual installation directory.</p>
+</li><li id="mrs_01_1663__la8a352e20c414015a0e60f8023ecc0a5">Service component users are created by the administrator as required. In security mode, machine-machine users need to download the keytab file. A human-machine user needs to change the password upon the first login. (This operation is not required in normal mode.)</li></ul>
+</div>
+<div class="section" id="mrs_01_1663__s729d2c48e7354c7bb15884e152e37570"><h4 class="sectiontitle">Using the HDFS Client</h4><ol id="mrs_01_1663__o65a723c3f0644a5ca5bc95b50051ef8f"><li id="mrs_01_1663__l3a2e1b7a8d004152865881b7d9bda58b"><span>Log in to the node where the client is installed as the client installation user.</span></li><li id="mrs_01_1663__l918962d747ac488fae8d369a02cf0b01"><span>Run the following command to go to the client installation directory:</span><p><p id="mrs_01_1663__ae6fabba0d23e4ae4bc35c6ef79cff605"><strong id="mrs_01_1663__a5a32ca4aacc5401ca0e8e8a12040e570">cd /opt/hadoopclient</strong></p>
+</p></li><li id="mrs_01_1663__lf110d935709c4ac48ee0ad1420665c2e"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_1663__acfff651122a74259a5e01741838c29e9"><strong id="mrs_01_1663__a468a1a99aae541fbab02686dddf0e45a">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_1663__lc24dad0c1fb34eec930f24087726a7fd"><span>If the cluster is in security mode, run the following command to authenticate the user. In normal mode, user authentication is not required.</span><p><p id="mrs_01_1663__a2a7d2557b3594004a61ea1dc86fb7d75"><strong id="mrs_01_1663__aa81cf28932fa4b73b9fa86f517864b8d">kinit</strong> <em id="mrs_01_1663__a3b95ea3e27ab410b9ddb246864099722">Component service user</em></p>
+</p></li><li id="mrs_01_1663__li6626247810502"><span>Run the HDFS Shell command. Example:</span><p><p id="mrs_01_1663__p627806210507"><strong id="mrs_01_1663__b49237178104947">hdfs dfs -ls /</strong></p>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_1663__section1462718419"><h4 class="sectiontitle">Common HDFS Client Commands</h4><p id="mrs_01_1663__p10844101962010">The following table lists common HDFS client commands.</p>
+<p id="mrs_01_1663__p13576181674114">For more commands, see <a href="https://hadoop.apache.org/docs/stable/hadoop-project-dist/hadoop-common/CommandsManual.html#User_Commands" target="_blank" rel="noopener noreferrer">https://hadoop.apache.org/docs/stable/hadoop-project-dist/hadoop-common/CommandsManual.html#User_Commands</a>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1663__table122538012428" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Common HDFS client commands</caption><thead align="left"><tr id="mrs_01_1663__row142532012426"><th align="left" class="cellrowborder" valign="top" width="32.769999999999996%" id="mcps1.3.4.4.2.4.1.1"><p id="mrs_01_1663__p122532016422">Command</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="22.53%" id="mcps1.3.4.4.2.4.1.2"><p id="mrs_01_1663__p162532064218">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="44.7%" id="mcps1.3.4.4.2.4.1.3"><p id="mrs_01_1663__p19381142414424">Example</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1663__row825370154217"><td class="cellrowborder" valign="top" width="32.769999999999996%" headers="mcps1.3.4.4.2.4.1.1 "><p id="mrs_01_1663__p73441050124515"><strong id="mrs_01_1663__b084642014454">hdfs dfs -mkdir</strong> <em id="mrs_01_1663__i1717302413451">Folder name</em></p>
+</td>
+<td class="cellrowborder" valign="top" width="22.53%" headers="mcps1.3.4.4.2.4.1.2 "><p id="mrs_01_1663__p14343750114520">Used to create a folder.</p>
+</td>
+<td class="cellrowborder" valign="top" width="44.7%" headers="mcps1.3.4.4.2.4.1.3 "><p id="mrs_01_1663__p10507828134610"><strong id="mrs_01_1663__b1550710285462">hdfs dfs -mkdir /tmp/mydir</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_1663__row20253701428"><td class="cellrowborder" valign="top" width="32.769999999999996%" headers="mcps1.3.4.4.2.4.1.1 "><p id="mrs_01_1663__p19253180204218"><strong id="mrs_01_1663__b10296201617453">hdfs dfs -ls</strong> <em id="mrs_01_1663__i18303121395017">Folder name</em></p>
+</td>
+<td class="cellrowborder" valign="top" width="22.53%" headers="mcps1.3.4.4.2.4.1.2 "><p id="mrs_01_1663__p182538014216">Used to view a folder.</p>
+</td>
+<td class="cellrowborder" valign="top" width="44.7%" headers="mcps1.3.4.4.2.4.1.3 "><p id="mrs_01_1663__p118764654513"><strong id="mrs_01_1663__b198744624515">hdfs dfs -ls /tmp</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_1663__row3253608426"><td class="cellrowborder" valign="top" width="32.769999999999996%" headers="mcps1.3.4.4.2.4.1.1 "><p id="mrs_01_1663__p17651195517480"><strong id="mrs_01_1663__b135271910154910">hdfs dfs -put</strong> <em id="mrs_01_1663__i1449832285017">Local file on the client node</em> <em id="mrs_01_1663__i316313419370">Specified HDFS path</em></p>
+</td>
+<td class="cellrowborder" valign="top" width="22.53%" headers="mcps1.3.4.4.2.4.1.2 "><p id="mrs_01_1663__p166501855104816">Used to upload a local file to a specified HDFS path.</p>
+</td>
+<td class="cellrowborder" valign="top" width="44.7%" headers="mcps1.3.4.4.2.4.1.3 "><p id="mrs_01_1663__p4381224154220"><strong id="mrs_01_1663__b1235793518513">hdfs dfs -put /opt/test.txt /tmp</strong></p>
+<p id="mrs_01_1663__p86791037195116">Upload the <span class="filepath" id="mrs_01_1663__filepath0651255175220"><b>/opt/test.txt</b></span> file on the client node to the <span class="filepath" id="mrs_01_1663__filepath883416112533"><b>/tmp</b></span> directory of HDFS.</p>
+</td>
+</tr>
+<tr id="mrs_01_1663__row2025313010422"><td class="cellrowborder" valign="top" width="32.769999999999996%" headers="mcps1.3.4.4.2.4.1.1 "><p id="mrs_01_1663__p112541001425"><strong id="mrs_01_1663__b12856934135312">hdfs dfs -get</strong> <em id="mrs_01_1663__i1234994885018">Specified file on HDFS </em><em id="mrs_01_1663__i3152356175316">Specified path on the client node</em></p>
+</td>
+<td class="cellrowborder" valign="top" width="22.53%" headers="mcps1.3.4.4.2.4.1.2 "><p id="mrs_01_1663__p22541020427">Used to download the HDFS file to the specified local path.</p>
+</td>
+<td class="cellrowborder" valign="top" width="44.7%" headers="mcps1.3.4.4.2.4.1.3 "><p id="mrs_01_1663__p2381424154211"><strong id="mrs_01_1663__b5974131017541">hdfs dfs -get /tmp/test.txt /opt/</strong></p>
+<p id="mrs_01_1663__p74164123545">Download the <span class="filepath" id="mrs_01_1663__filepath1888121165511"><b>/tmp/test.txt</b></span> file on HDFS to the <span class="filepath" id="mrs_01_1663__filepath6997192318555"><b>/opt</b></span> path on the client node.</p>
+</td>
+</tr>
+<tr id="mrs_01_1663__row225414054213"><td class="cellrowborder" valign="top" width="32.769999999999996%" headers="mcps1.3.4.4.2.4.1.1 "><p id="mrs_01_1663__p7206115664812"><strong id="mrs_01_1663__b157571485477">hdfs dfs -rm -r -f </strong> <em id="mrs_01_1663__i189891456361">Specified folder on HDFS</em></p>
+</td>
+<td class="cellrowborder" valign="top" width="22.53%" headers="mcps1.3.4.4.2.4.1.2 "><p id="mrs_01_1663__p120625694814">Used to delete a folder.</p>
+</td>
+<td class="cellrowborder" valign="top" width="44.7%" headers="mcps1.3.4.4.2.4.1.3 "><p id="mrs_01_1663__p123811524114215"><strong id="mrs_01_1663__b29910183718">hdfs dfs -rm -r -f /tmp/mydir</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_1663__row16712134594813"><td class="cellrowborder" valign="top" width="32.769999999999996%" headers="mcps1.3.4.4.2.4.1.1 "><p id="mrs_01_1663__p67131645154812"><strong id="mrs_01_1663__b78181552164918">hdfs dfs -chmod</strong> <em id="mrs_01_1663__i2549307495">Permission parameter File directory</em></p>
+</td>
+<td class="cellrowborder" valign="top" width="22.53%" headers="mcps1.3.4.4.2.4.1.2 "><p id="mrs_01_1663__p147135459488">Used to configure the HDFS directory permission for a user.</p>
+</td>
+<td class="cellrowborder" valign="top" width="44.7%" headers="mcps1.3.4.4.2.4.1.3 "><p id="mrs_01_1663__p1071313452483"><strong id="mrs_01_1663__b18890164974914">hdfs dfs -chmod 700 /tmp/test</strong></p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1663__section29499362105048"><h4 class="sectiontitle">Client-related FAQs</h4><ol id="mrs_01_1663__ol744197105431"><li id="mrs_01_1663__li15025511105431">What do I do when the HDFS client exits abnormally and error message "java.lang.OutOfMemoryError" is displayed after the HDFS client command is running?<p id="mrs_01_1663__p17611479105954"><a name="mrs_01_1663__li15025511105431"></a><a name="li15025511105431"></a>This problem occurs because the memory required for running the HDFS client exceeds the preset upper limit (128 MB by default). You can change the memory upper limit of the client by modifying <span class="parmname" id="mrs_01_1663__parmname343303011723"><b>CLIENT_GC_OPTS</b></span> in <em id="mrs_01_1663__i9633360343389">&lt;Client installation path&gt;</em><strong id="mrs_01_1663__b1366028603389">/HDFS/component_env</strong>. For example, if you want to set the upper limit to 1 GB, run the following command:</p>
+<pre class="screen" id="mrs_01_1663__screen14993084173648">CLIENT_GC_OPTS="-Xmx1G"</pre>
+<p id="mrs_01_1663__p6462255411821">After the modification, run the following command to make the modification take effect:</p>
+<p id="mrs_01_1663__p44359303111033"><strong id="mrs_01_1663__b17346645473389">source </strong>&lt;<em id="mrs_01_1663__i351568153389">Client installation path</em>&gt;/<strong id="mrs_01_1663__b16655634523389">/bigdata_env</strong></p>
+</li><li id="mrs_01_1663__li41575152105932">How do I set the log level when the HDFS client is running?<p id="mrs_01_1663__p63732354111346"><a name="mrs_01_1663__li41575152105932"></a><a name="li41575152105932"></a>By default, the logs generated during the running of the HDFS client are printed to the console. The default log level is INFO. To enable the DEBUG log level for fault locating, run the following command to export an environment variable:</p>
+<p id="mrs_01_1663__p25300767111555"><strong id="mrs_01_1663__b38501362111627">export HADOOP_ROOT_LOGGER=DEBUG,console</strong></p>
+<p id="mrs_01_1663__p54226982111623">Then run the HDFS Shell command to generate the DEBUG logs.</p>
+<p id="mrs_01_1663__p26281297111741">If you want to print INFO logs again, run the following command:</p>
+<p id="mrs_01_1663__p3770704811184"><strong id="mrs_01_1663__b13824849111810">export HADOOP_ROOT_LOGGER=INFO,console</strong></p>
+</li><li id="mrs_01_1663__li3683143313555">How do I delete HDFS files permanently?<p id="mrs_01_1663__p927020207565"><a name="mrs_01_1663__li3683143313555"></a><a name="li3683143313555"></a>HDFS provides a recycle bin mechanism. Typically, after an HDFS file is deleted, the file is moved to the recycle bin of HDFS. If the file is no longer needed and the storage space needs to be released, clear the corresponding recycle bin directory, for example, <strong id="mrs_01_1663__b1420020551376">hdfs://hacluster/user/xxx/.Trash/Current/</strong><em id="mrs_01_1663__i0261058183714">xxx</em>.</p>
+</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1664"></a><a name="mrs_01_1664"></a>
+
+<h1 class="topictitle1">Changing the DataNode Storage Directory</h1>
+<div id="body1595904092485"><div class="section" id="mrs_01_1664__s86e6d1aae058425fac2ceb887313780b"><h4 class="sectiontitle">Scenario</h4><div class="note" id="mrs_01_1664__note17408121619136"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1664__p788202018132">This section applies to MRS 3.<em id="mrs_01_1664__i1384718494575">x</em> or later clusters.</p>
+</div></div>
+<p id="mrs_01_1664__a075dde430f6d4d62992ee88dabb3cac4">If the storage directory defined by the HDFS DataNode is incorrect or the HDFS storage plan changes, the system administrator needs to modify the DataNode storage directory on FusionInsight Manager to ensure that the HDFS works properly. Changing the ZooKeeper storage directory includes the following scenarios:</p>
+</div>
+<ul id="mrs_01_1664__uf8cc1c4da7314862b85fbb12706c0b8e"><li id="mrs_01_1664__la15a239f68da430a9a8501e442a7463a">Change the storage directory of the DataNode role. In this way, the storage directories of all DataNode instances are changed.</li><li id="mrs_01_1664__l74dd6ade92754c54ab5c3e8c72beb4e8">Change the storage directory of a single DataNode instance. In this way, only the storage directory of this instance is changed, and the storage directories of other instances remain the same.</li></ul>
+<div class="section" id="mrs_01_1664__s96b8a9dc800a44b7b35e3a2d8fafa0e1"><h4 class="sectiontitle">Impact on the System</h4><ul id="mrs_01_1664__ue0e0f55de41d436dbf9aee369490337e"><li id="mrs_01_1664__l306c6408a5844217bef0890172891d6b">The HDFS service needs to be stopped and restarted during the process of changing the storage directory of the DataNode role, and the cluster cannot provide services before it is completely started.</li></ul>
+</div>
+<ul id="mrs_01_1664__ubd5c1981cdf44085963062e54188f95d"><li id="mrs_01_1664__la4d2efbbd749452bb963bf22ef62c844">The DataNode instance needs to stopped and restarted during the process of changing the storage directory of the instance, and the instance at this node cannot provide services before it is started.</li><li id="mrs_01_1664__l1822349c8e3c4fbb9f4c3af82b0b5715">The directory for storing service parameter configurations must also be updated.</li></ul>
+<div class="section" id="mrs_01_1664__s9e4b75fd0f044bc48aec7c870e0f70ad"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1664__ud0c72f5f4d29432da1f1571c527aa07d"><li id="mrs_01_1664__l31665d2223274d8da4c0a6a6410a8790">New disks have been prepared and installed on each data node, and the disks are formatted.</li></ul>
+</div>
+<ul id="mrs_01_1664__u2c69e229971c44169416f3fb28eda770"><li id="mrs_01_1664__l4507236e1d3940bc9f64331d7133013b">New directories have been planned for storing data in the original directories.</li><li id="mrs_01_1664__l81cf6ff3cfcf475f90fdc97ba9ddcb63">The HDFS client has been installed.</li><li id="mrs_01_1664__l279b33e2816f4a1099563fc802215440">The system administrator user <strong id="mrs_01_1664__b163959184315">hdfs</strong> is available.</li><li id="mrs_01_1664__l2d9114b6fbe2417c96ec1b1f35cc636a">When changing the storage directory of a single DataNode instance, ensure that the number of active DataNode instances is greater than the value of <strong id="mrs_01_1664__b1061124924219">dfs.replication</strong>.</li></ul>
+<div class="section" id="mrs_01_1664__s0a76ba05c1cb4e6b81628d993064ff81"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1664__a24dff20d0626451f85d5d03ff4b051a7"><strong id="mrs_01_1664__b456912718438">Check the environment.</strong></p>
+</div>
+<ol id="mrs_01_1664__o628084b784e647b8a0364438f8de425d"><li id="mrs_01_1664__l26714a238972422d9d6039177cb92414"><span>Log in to the server where the HDFS client is installed as user <strong id="mrs_01_1664__b318791034311">root</strong>, and run the following command to configure environment variables:</span><p><p id="mrs_01_1664__a83815530b02e458d9a319a28a468e997"><strong id="mrs_01_1664__b254013214312">source </strong><em id="mrs_01_1664__i1054543213438">Installation directory of the HDFS client</em><strong id="mrs_01_1664__b17545133219433">/bigdata_env</strong></p>
+</p></li><li id="mrs_01_1664__l147b6c33cfe0462799ee6b80df46c062"><span>If the cluster is in security mode, run the following command to authenticate the user:</span><p><p id="mrs_01_1664__af8230d8c4be840269d92240b90f08554"><strong id="mrs_01_1664__a6a4225516af8484b895c75a42f239a3c">kinit hdfs</strong></p>
+</p></li><li id="mrs_01_1664__l12a1f7e93322481da717ea03c5919047"><span>Run the following command on the HDFS client to check whether all directories and files in the HDFS root directory are normal:</span><p><p id="mrs_01_1664__a67abbfed1e09439797766c31a39280c9"><strong id="mrs_01_1664__acf21ef6ee0a34cd4afbc40ad2a01d5c8">hdfs fsck /</strong></p>
+<p id="mrs_01_1664__a7ae6d56446e54d2d8241d9dd4e23de85">Check the fsck command output.</p>
+<ul id="mrs_01_1664__u003bc33c4a5f462b821b4218402175c6"><li id="mrs_01_1664__l5a1f07e48dc84354868ccc452954991b">If the following information is displayed, no file is lost or damaged. Go to <a href="#mrs_01_1664__le587d508c49b4837bcabd9bd9cf98bc4">4</a>.<pre class="screen" id="mrs_01_1664__s5a0f5048292c471da6fc435fca8c9e0b">The filesystem under path '/' is HEALTHY</pre>
+</li><li id="mrs_01_1664__lad2a9fd5d4c947149b2e9741c1a1d1a0">If other information is displayed, some files are lost or damaged. Go to <a href="#mrs_01_1664__l1ce08f0a7d2349b487dd6f19c38c7273">5</a>.</li></ul>
+</p></li><li id="mrs_01_1664__le587d508c49b4837bcabd9bd9cf98bc4"><a name="mrs_01_1664__le587d508c49b4837bcabd9bd9cf98bc4"></a><a name="le587d508c49b4837bcabd9bd9cf98bc4"></a><span>Log in to FusionInsight Manager, choose <strong id="mrs_01_1664__b124211467436">Cluster</strong> &gt; <em id="mrs_01_1664__i202431463437">Name of the desired cluster</em> &gt; <strong id="mrs_01_1664__b824324654311">Services</strong>, and check whether <strong id="mrs_01_1664__b13244114624310">Running Status</strong> of HDFS is <strong id="mrs_01_1664__b18244154624313">Normal</strong>.</span><p><ul id="mrs_01_1664__u452e1c7aeacc4fb7b6d256ece21cd3c1"><li id="mrs_01_1664__l614bea7fb40143eca2d2ecf3d9433285">If yes, go to <a href="#mrs_01_1664__lff55f0ef8699449ab4cfc4eddeed1711">6</a>.</li><li id="mrs_01_1664__l1a1d22edec6242958310876df7a8623b">If no, the HDFS status is unhealthy. Go to <a href="#mrs_01_1664__l1ce08f0a7d2349b487dd6f19c38c7273">5</a>.</li></ul>
+</p></li><li id="mrs_01_1664__l1ce08f0a7d2349b487dd6f19c38c7273"><a name="mrs_01_1664__l1ce08f0a7d2349b487dd6f19c38c7273"></a><a name="l1ce08f0a7d2349b487dd6f19c38c7273"></a><span>Rectify the HDFS fault.. The task is complete.</span></li><li id="mrs_01_1664__lff55f0ef8699449ab4cfc4eddeed1711"><a name="mrs_01_1664__lff55f0ef8699449ab4cfc4eddeed1711"></a><a name="lff55f0ef8699449ab4cfc4eddeed1711"></a><span>Determine whether to change the storage directory of the DataNode role or that of a single DataNode instance:</span><p><ul id="mrs_01_1664__u681c64621a284f7f9351f01fa3b819ff"><li id="mrs_01_1664__lfe4837e1ac694247bde20ed15ed078f9">To change the storage directory of the DataNode role, go to <a href="#mrs_01_1664__l4bc534684e1d4d3cb656e4ed55bb75af">7</a>.</li><li id="mrs_01_1664__l8fcedec6f03d407c949acb70897ec4ec">To change the storage directory of a single DataNode instance, go to <a href="#mrs_01_1664__lab34cabb4d324166acebeb18e1098884">12</a>.</li></ul>
+</p></li></ol>
+<p id="mrs_01_1664__a8fef16ba5d0b4c41bc64e1ee685d8ac9"><strong id="mrs_01_1664__b1777041618454">Changing the storage directory of the DataNode role</strong></p>
+<ol start="7" id="mrs_01_1664__o914dafb130934574bf6980745fd5f155"><li id="mrs_01_1664__l4bc534684e1d4d3cb656e4ed55bb75af"><a name="mrs_01_1664__l4bc534684e1d4d3cb656e4ed55bb75af"></a><a name="l4bc534684e1d4d3cb656e4ed55bb75af"></a><span>Choose <strong id="mrs_01_1664__b15239181815459">Cluster</strong> &gt; <em id="mrs_01_1664__i024081815459">Name of the desired cluster</em> &gt; <strong id="mrs_01_1664__b7240151820457">Services</strong> &gt; <strong id="mrs_01_1664__b2241818184512">HDFS</strong> &gt; <strong id="mrs_01_1664__b7242111814452">Stop Instance</strong> to stop the HDFS service.</span></li><li id="mrs_01_1664__l952ee9d1cf8f4e0899e8434f8d4980ad"><span>Log in to each data node where the HDFS service is installed as user <strong id="mrs_01_1664__b1349617336455">root</strong> and perform the following operations:</span><p><ol type="a" id="mrs_01_1664__o1ca98f7511a34f94a26ac153696f2139"><li id="mrs_01_1664__l896ca76a4bcc42cb8ab77bf56dd424a9">Create a target directory (<strong id="mrs_01_1664__b91111204611">data1</strong> and <strong id="mrs_01_1664__b91711214463">data2</strong> are original directories in the cluster).<p id="mrs_01_1664__afc57f490891c422eb1a493b0a6efda2f">For example, to create a target directory <strong id="mrs_01_1664__b973313394615"><span id="mrs_01_1664__t5992f599462346fcad9986fdb8c15df6">${BIGDATA_DATA_HOME}</span>/hadoop/data3/dn</strong>, run the following command:</p>
+<p id="mrs_01_1664__ac3f3323b35da4ee28ec2b305f21bbbad"><strong id="mrs_01_1664__b1557553114512">mkdir </strong><strong id="mrs_01_1664__a24873b7703b34fd3b3853b2f52ff1b4c">-p <span id="mrs_01_1664__td6e51d6ba5144eb5a5b7d8c4cb98212b">${BIGDATA_DATA_HOME}</span></strong><strong id="mrs_01_1664__aef4023a9acd645c78602879741687f6c">/hadoop/data3/dn</strong></p>
+</li><li id="mrs_01_1664__l71a593fe57ee44e4a82b6b1431bdd912">Mount the target directory to the new disk. For example, mount <strong id="mrs_01_1664__b164204044617"><span id="mrs_01_1664__tc6b8b15c9a1348599e422000afb971ff">${BIGDATA_DATA_HOME}</span>/hadoop/data3</strong> to the new disk.</li><li id="mrs_01_1664__l1b6b803928e64d058260d4bfe8c6db2e">Modify permissions on the new directory.<p id="mrs_01_1664__aa575395f09494b04add2addd0e5da3c8"><a name="mrs_01_1664__l1b6b803928e64d058260d4bfe8c6db2e"></a><a name="l1b6b803928e64d058260d4bfe8c6db2e"></a>For example, to create a target directory <strong id="mrs_01_1664__b1092214813465"><span id="mrs_01_1664__t5b784aa1ddba48eaa5013526d9b0170b">${BIGDATA_DATA_HOME}</span>/hadoop/data3/dn</strong>, run the following commands:</p>
+<p id="mrs_01_1664__a6e9aa47657cb4b669d5255228f981636"><strong id="mrs_01_1664__b1660220566461">chmod 700 </strong><strong id="mrs_01_1664__b76037564468"><span id="mrs_01_1664__t3da602c45126478288be8b367a1e8903">${BIGDATA_DATA_HOME}</span></strong><strong id="mrs_01_1664__b15604656194611">/hadoop/data3/dn -R</strong> and <strong id="mrs_01_1664__b7604165614615">chown omm:wheel </strong><strong id="mrs_01_1664__b18605856114614"><span id="mrs_01_1664__tb5cf37879bac42ea9c3526132f5b8a9a">${BIGDATA_DATA_HOME}</span></strong><strong id="mrs_01_1664__b4605195613464">/hadoop/data3/dn -R</strong></p>
+</li><li id="mrs_01_1664__l63f4856203e9425f9a23113c3d13f665"><a name="mrs_01_1664__l63f4856203e9425f9a23113c3d13f665"></a><a name="l63f4856203e9425f9a23113c3d13f665"></a>Copy the data to the target directory.<p id="mrs_01_1664__a24dfb2ed0e7b4f4586f4353231616b05"><a name="mrs_01_1664__l63f4856203e9425f9a23113c3d13f665"></a><a name="l63f4856203e9425f9a23113c3d13f665"></a>For example, if the old directory is <strong id="mrs_01_1664__b1675221212479"><span id="mrs_01_1664__tfaf5b9dea6304511ad7c6ab30b4962b2">${BIGDATA_DATA_HOME}</span>/hadoop/data1/dn</strong> and the target directory is <strong id="mrs_01_1664__b47532124475"><span id="mrs_01_1664__tacbe972a24864e229743c74bfd43fb2f">${BIGDATA_DATA_HOME}</span>/hadoop/data3/dn</strong>, run the following command:</p>
+<p id="mrs_01_1664__abfb62c8592724a068bc0c645e2c3c895"><strong id="mrs_01_1664__b171992594711">cp -af </strong><strong id="mrs_01_1664__b1520202516476"><span id="mrs_01_1664__tc42eb70ac99b442782e18df48c604472">${BIGDATA_DATA_HOME}</span></strong><strong id="mrs_01_1664__b1620182574715">/hadoop/data1/dn/* </strong><strong id="mrs_01_1664__b162112254478"><span id="mrs_01_1664__tcf54f073f3dd4597abe05b4ab6c690e0">${BIGDATA_DATA_HOME}</span></strong><strong id="mrs_01_1664__b02282584717">/hadoop/data3/dn</strong></p>
+</li></ol>
+</p></li><li id="mrs_01_1664__lc073c2204ea5414cac84a364eb4e8a0a"><span>On FusionInsight Manager, choose <strong id="mrs_01_1664__b49531737164710">Cluster</strong> &gt; <em id="mrs_01_1664__i1995343711473">Name of the desired cluster</em> &gt; <strong id="mrs_01_1664__b8953133713475">Services</strong> &gt; <strong id="mrs_01_1664__b99541137114715">HDFS</strong> &gt; <strong id="mrs_01_1664__b14954113720471">Configurations</strong> &gt; <strong id="mrs_01_1664__b10618335165015">All Configurations</strong> to go to the HDFS service configuration page.</span><p><p id="mrs_01_1664__ad5805c53366c43afb7c008568eccf0ab">Change the value of <strong id="mrs_01_1664__b1838324244714">dfs.datanode.data.dir</strong> from the default value <strong id="mrs_01_1664__b1638884274711">%{@auto.detect.datapart.dn}</strong> to the new target directory, for example, <strong id="mrs_01_1664__b5388154264714"><span id="mrs_01_1664__tbbadf70ff42948cdbc4397322aef226e">${BIGDATA_DATA_HOME}</span>/hadoop/data3/dn</strong>.</p>
+<p id="mrs_01_1664__ace7970517e814895b8b91f7417f30d8e">For example, the original data storage directories are <span class="filepath" id="mrs_01_1664__filepath48431753204715"><b>/srv/BigData/hadoop/data1</b></span>, <span class="filepath" id="mrs_01_1664__filepath584335312475"><b>/srv/BigData/hadoop/data2</b></span>. To migrate data from the <span class="filepath" id="mrs_01_1664__filepath1784475318477"><b>/srv/BigData/hadoop/data1</b></span> directory to the newly created <strong id="mrs_01_1664__b10844125310478">/srv/BigData/hadoop/data3</strong> directory, replace the whole parameter with <strong id="mrs_01_1664__b1584515316477">/srv/BigData/hadoop/data2, /srv/BigData/hadoop/data3</strong>. Separate multiple storage directories with commas (,). In this example, changed directories are <strong id="mrs_01_1664__b123961124483">/srv/BigData/hadoop/data2</strong>, <strong id="mrs_01_1664__b4397102164810">/srv/BigData/hadoop/data3</strong>.</p>
+</p></li><li id="mrs_01_1664__l196acfaf23374048a66c7623d7abefe6"><span>Click <strong id="mrs_01_1664__b2433184194818">Save</strong>. Choose <strong id="mrs_01_1664__b482319514815">Cluster</strong> &gt; <em id="mrs_01_1664__i58231154486">Name of the desired cluster</em> &gt; <strong id="mrs_01_1664__b08238513482">Services</strong>. On the page that is displayed, start the services that have been stopped.</span></li><li id="mrs_01_1664__leebc9117f1484ef1bd1d97c206c15382"><span>After the HDFS is started, run the following command on the HDFS client to check whether all directories and files in the HDFS root directory are correctly copied:</span><p><p id="mrs_01_1664__a09ae8d3b510e41d2885ce4ece0821703"><strong id="mrs_01_1664__aa3587ad5eb694148a6fb8b388f4d7389">hdfs fsck /</strong></p>
+<p id="mrs_01_1664__ab0a486e5119e4631837bcf4222490b77">Check the fsck command output.</p>
+<ul id="mrs_01_1664__u5f8f4d481d574f7ab1c6862ae923f6b0"><li id="mrs_01_1664__lcad57bb696d2481494c3230828eb1be7">If the following information is displayed, no file is lost or damaged, and data replication is successful. No further action is required.<pre class="screen" id="mrs_01_1664__s06b9808e05fd411fa1e7f31421460ac4">The filesystem under path '/' is HEALTHY</pre>
+</li><li id="mrs_01_1664__lf7b5947819fc49439811c9b87f68adf9">If other information is displayed, some files are lost or damaged. In this case, check whether <a href="#mrs_01_1664__l63f4856203e9425f9a23113c3d13f665">8.d</a> is correct and run the <strong id="mrs_01_1664__b9435419204811">hdfs fsck</strong> <em id="mrs_01_1664__i7435181915484">Name of the damaged file</em><strong id="mrs_01_1664__b11436819114817"> -delete</strong> command.</li></ul>
+</p></li></ol>
+<p id="mrs_01_1664__afba1bfc3a5f544ba84ab44ce604aba1f"><strong id="mrs_01_1664__b15132202494813">Changing the storage directory of a single DataNode instance</strong></p>
+<ol start="12" id="mrs_01_1664__o5b6f95be6f544f2e84ffeca333e93028"><li id="mrs_01_1664__lab34cabb4d324166acebeb18e1098884"><a name="mrs_01_1664__lab34cabb4d324166acebeb18e1098884"></a><a name="lab34cabb4d324166acebeb18e1098884"></a><span>Choose <strong id="mrs_01_1664__b19509192784818">Cluster</strong> &gt; <em id="mrs_01_1664__i16514827164810">Name of the desired cluster</em> &gt; <strong id="mrs_01_1664__b195144278484">Services</strong> &gt; <strong id="mrs_01_1664__b4515427124816">HDFS</strong> &gt; <strong id="mrs_01_1664__b851552713489">Instance</strong>. Select the HDFS instance whose storage directory needs to be modified, and choose <strong id="mrs_01_1664__b1351510271481">More</strong> &gt; <strong id="mrs_01_1664__b18516132754813">Stop Instance</strong>.</span></li><li id="mrs_01_1664__le21559235c204991bcf5ce25fa466168"><span>Log in to the DataNode node as user <strong id="mrs_01_1664__b170134454814">root</strong>, and perform the following operations:</span><p><ol type="a" id="mrs_01_1664__oaf5cf613ad5e4f7a860f419abc359c1f"><li id="mrs_01_1664__l867efca11cdd4baf9bb029159855da1b">Create a target directory.<p id="mrs_01_1664__a0c1260d9b66340f19ded8e11116a3689"><a name="mrs_01_1664__l867efca11cdd4baf9bb029159855da1b"></a><a name="l867efca11cdd4baf9bb029159855da1b"></a>For example, to create a target directory <strong id="mrs_01_1664__b203744612493"><span id="mrs_01_1664__t358a229f1eb443aebfc3e0668b406b7b">${BIGDATA_DATA_HOME}</span>/hadoop/data3/dn</strong>, run the following command:</p>
+<p id="mrs_01_1664__ab1c7a3497e944a8a811e7cae53c7b8cb"><strong id="mrs_01_1664__ac068ecc0ac034a76a19235861e929399">mkdir -p </strong><strong id="mrs_01_1664__a48458afc36bf413ba5274384c546dff5"><span id="mrs_01_1664__tabe5add53f2849beb7a5e513bce6ed16">${BIGDATA_DATA_HOME}</span></strong><strong id="mrs_01_1664__afcb51019790b468ab12b790e25f88852">/hadoop/data3/dn</strong></p>
+</li><li id="mrs_01_1664__ld4bbd7f07e794263a5beb45307810aaf">Mount the target directory to the new disk.<p id="mrs_01_1664__aa442d3c808f34a4db48c6b5782caed48"><a name="mrs_01_1664__ld4bbd7f07e794263a5beb45307810aaf"></a><a name="ld4bbd7f07e794263a5beb45307810aaf"></a>For example, mount <strong id="mrs_01_1664__b167132844910"><span id="mrs_01_1664__ta1dd1c694e84455baa953266c81eb389">${BIGDATA_DATA_HOME}</span>/hadoop/data3</strong> to the new disk.</p>
+</li><li id="mrs_01_1664__l320fb0ec1cea4749bb99a51a589f975a">Modify permissions on the new directory.<p id="mrs_01_1664__ab6495dcb341d47dcb06064e4471a808c"><a name="mrs_01_1664__l320fb0ec1cea4749bb99a51a589f975a"></a><a name="l320fb0ec1cea4749bb99a51a589f975a"></a>For example, to create a target directory <strong id="mrs_01_1664__b3847935194916"><span id="mrs_01_1664__t0670871b27ae45e8bd6099536bb93292">${BIGDATA_DATA_HOME}</span>/hadoop/data3/dn</strong>, run the following commands:</p>
+<p id="mrs_01_1664__a398e1fb5ef674001b8b7f02c8fa82e1b"><strong id="mrs_01_1664__b34642144910">chmod 700 </strong><strong id="mrs_01_1664__b4413428494"><span id="mrs_01_1664__ta8e24111e2304db5a39e732fdee0525d">${BIGDATA_DATA_HOME}</span></strong><strong id="mrs_01_1664__b19574218492">/hadoop/data3/dn -R</strong> and <strong id="mrs_01_1664__b05342174911">chown omm:wheel </strong><strong id="mrs_01_1664__b161442194913"><span id="mrs_01_1664__td405b94e3c3947aebf26032c20b10295">${BIGDATA_DATA_HOME}</span></strong><strong id="mrs_01_1664__b136114210499">/hadoop/data3/dn -R</strong></p>
+</li><li id="mrs_01_1664__l346b03ead67546da88ac44ecf9d456e8">Copy the data to the target directory.<p id="mrs_01_1664__a1dc4c01b9d5c484f905d6abf0808e57c"><a name="mrs_01_1664__l346b03ead67546da88ac44ecf9d456e8"></a><a name="l346b03ead67546da88ac44ecf9d456e8"></a>For example, if the old directory is <strong id="mrs_01_1664__b430145624917"><span id="mrs_01_1664__t0daeb707126d4c6e9e48252767017e99">${BIGDATA_DATA_HOME}</span>/hadoop/data1/dn</strong> and the target directory is <strong id="mrs_01_1664__b14302115674910"><span id="mrs_01_1664__t832d21664d1f4a4b90d40fd9ab8b5b81">${BIGDATA_DATA_HOME}</span>/hadoop/data3/dn</strong>, run the following command:</p>
+<p id="mrs_01_1664__aad74511683d2403d896ee961b5018cc1"><strong id="mrs_01_1664__b137845711501">cp -af </strong><strong id="mrs_01_1664__b1778457145012"><span id="mrs_01_1664__t15ec638de67d40df8cd88f57fddcdd96">${BIGDATA_DATA_HOME}</span></strong><strong id="mrs_01_1664__b7785117125017">/hadoop/data1/dn/* </strong><strong id="mrs_01_1664__b107865725016"><span id="mrs_01_1664__t4e3f7c8291b04040a5ddeb3c94ee8649">${BIGDATA_DATA_HOME}</span></strong><strong id="mrs_01_1664__b7786117175012">/hadoop/data3/dn</strong></p>
+</li></ol>
+</p></li><li id="mrs_01_1664__l0f49d954cd0445b2ad5db87d37a6993a"><span>On FusionInsight Manager, choose <strong id="mrs_01_1664__b1598202705215">Cluster</strong> &gt; <em id="mrs_01_1664__i7797113914525">Name of the desired cluster</em> &gt; <strong id="mrs_01_1664__b429119438524">Service</strong> &gt; <strong id="mrs_01_1664__b9300348105219">HDFS</strong> &gt; <strong id="mrs_01_1664__b526905705218">Instance</strong>. Click the specified DataNode instance and go to the <strong id="mrs_01_1664__b1070216155410">Configurations</strong> page.</span><p><p id="mrs_01_1664__ac355f1de0ce44371a126422af34c9864">Change the value of <strong id="mrs_01_1664__b252462375017">dfs.datanode.data.dir</strong> from the default value <strong id="mrs_01_1664__b1052916234500">%{@auto.detect.datapart.dn}</strong> to the new target directory, for example, <strong id="mrs_01_1664__b175291323205016"><span id="mrs_01_1664__t8b730564952545978169d7462505ade8">${BIGDATA_DATA_HOME}</span>/hadoop/data3/dn</strong>.</p>
+<p id="mrs_01_1664__a5477797872224b90b0a593e9f6239705">For example, the original data storage directories are <strong id="mrs_01_1664__b1524471201315">/srv/BigData/hadoop/data1,/srv/BigData/hadoop/data2</strong>. To migrate data from the <strong id="mrs_01_1664__b1632173310503">/srv/BigData/hadoop/data1</strong> directory to the newly created <strong id="mrs_01_1664__b1663343310504">/srv/BigData/hadoop/data3</strong> directory, replace the whole parameter with <strong id="mrs_01_1664__b156330330506">/srv/BigData/hadoop/data2,/srv/BigData/hadoop/data3</strong>.</p>
+</p></li><li id="mrs_01_1664__l3a4706fbf6fc49d6952e95db072df069"><span>Click <strong id="mrs_01_1664__b18581183517504">Save</strong>, and then click <strong id="mrs_01_1664__b10582203525010">OK</strong>.</span><p><p id="mrs_01_1664__a5b31e0d798df4577b0eda749bcb1c6b6"><strong id="mrs_01_1664__b3732153613502">Operation succeeded</strong> is displayed. click <strong id="mrs_01_1664__b96753813504">Finish</strong>.</p>
+</p></li><li id="mrs_01_1664__li9931205544818"><span>Choose <strong id="mrs_01_1664__b18346039165014">More</strong> &gt; <strong id="mrs_01_1664__b83461139105012">Restart Instance</strong> to restart the DataNode instance.</span></li></ol>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1665"></a><a name="mrs_01_1665"></a>
+
+<h1 class="topictitle1">Configuring NFS</h1>
+<div id="body1595904092493"><div class="section" id="mrs_01_1665__s0eabe9d97bfa41ecb0e449bdba3ccc1e"><h4 class="sectiontitle">Scenario</h4><div class="note" id="mrs_01_1665__note17408121619136"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1665__p788202018132">This section applies to MRS 3.<em id="mrs_01_1665__i117519202555">x</em> or later.</p>
+</div></div>
+<p id="mrs_01_1665__afa708240ee704fc89aa07c6126dd3f47">Before deploying a cluster, you can deploy a Network File System (NFS) server based on requirements to store NameNode metadata to enhance data reliability.</p>
+</div>
+<p id="mrs_01_1665__a66d6b07b9a1e4252903c0025bb1051c9">If the NFS server has been deployed and NFS services are configured, you can follow operations in this section to configure NFS on the cluster. These operations are optional.</p>
+<div class="section" id="mrs_01_1665__sf1f425ddd3994f49b2e2392af32c3800"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1665__obce7b01ef01b411786ddf29301c516e1"><li id="mrs_01_1665__l496aa255620a443b935227470dfb6623"><span>Check the permission of the shared NFS directories on the NFS server to ensure that the server can access NameNode in the <span id="mrs_01_1665__text1878739210">MRS</span> cluster.</span></li><li id="mrs_01_1665__lff3e9b51a9354f89ab59a1c515495818"><a name="mrs_01_1665__lff3e9b51a9354f89ab59a1c515495818"></a><a name="lff3e9b51a9354f89ab59a1c515495818"></a><span>Log in to the active NameNode as user <strong id="mrs_01_1665__b13854174155510">root</strong>.</span></li><li id="mrs_01_1665__l72c9ebb4acdf4cad92bcf3f2ea337082"><span>Run the following commands to create a directory and assign it write permissions:</span><p><p id="mrs_01_1665__afd6ad6919ad142f8b18c96ef63fac5d5"><strong id="mrs_01_1665__a9281e358fe654d42a2b4d00bf0f4c90b">mkdir </strong><strong id="mrs_01_1665__a32aed279709840939f9f7f469832ea1a"><span id="mrs_01_1665__tf7184454b2da4ccdb64c267ecb8aa9bc">${BIGDATA_DATA_HOME}</span></strong><strong id="mrs_01_1665__aaa2d682afccb40b2b0abb43ce18269fa">/namenode-nfs</strong></p>
+<p id="mrs_01_1665__ad47a4a3d61d34359a5bcb3ff356b4859"><strong id="mrs_01_1665__acbb2b3e2cac14c15b8c55afd877466b9">chown omm:wheel </strong><strong id="mrs_01_1665__aca57ef6d37fc49f5b86301eca08b1804"><span id="mrs_01_1665__td1e7f4c5c40b405bb7287700ff59f366">${BIGDATA_DATA_HOME}</span></strong><strong id="mrs_01_1665__a3aa5cddccc95458e982e93acfa12959b">/namenode-nfs</strong></p>
+<p id="mrs_01_1665__a21ff4b7ca55d48c59d8d29c0c78421fe"><strong id="mrs_01_1665__aec1f28b8208249cb9969a4d42ca6e102">chmod 750 </strong><strong id="mrs_01_1665__aa9a217def204469a95d4fac814661d1d"><span id="mrs_01_1665__tef202fd1ae5045d1aec71acc43516a97">${BIGDATA_DATA_HOME}</span></strong><strong id="mrs_01_1665__a7e6a4b2ca13f4c779551cd8b20061764">/namenode-nfs</strong></p>
+</p></li><li id="mrs_01_1665__lbb64192db9814446b3744fcbf6326d7b"><a name="mrs_01_1665__lbb64192db9814446b3744fcbf6326d7b"></a><a name="lbb64192db9814446b3744fcbf6326d7b"></a><span>Run the following command to mount the NFS to the active NameNode:</span><p><p id="mrs_01_1665__a3a8d0ef087c6411380eb352d4537437c"><strong id="mrs_01_1665__b0216185135612">mount -t nfs -o rsize=8192,wsize=8192,soft,nolock,timeo=3,intr</strong> <em id="mrs_01_1665__i1322216520562">IP address of the NFS server</em>:<em id="mrs_01_1665__i322214514564">Shared directory</em> <strong id="mrs_01_1665__a2a6c815cf106480ebe4739d1ced5efef"><span id="mrs_01_1665__t6d26453954c6428cb4ec46fab6f281f4">${BIGDATA_DATA_HOME}</span></strong><strong id="mrs_01_1665__b142253555619">/namenode-nfs</strong></p>
+<p id="mrs_01_1665__acc231e086caa499ea3967ce08e11e18e">For example, if the IP address of the NFS server is <strong id="mrs_01_1665__b1941151695614">192.168.0.11</strong> and the shared directory is <strong id="mrs_01_1665__b894291613568">/opt/Hadoop/NameNode</strong>, run the following command:</p>
+<p id="mrs_01_1665__a79df4a2263624dc3b19dcd16a5a0d008"><strong id="mrs_01_1665__a08d8f2062b164d54a16174a6df382b3d">mount -t nfs -o rsize=8192,wsize=8192,soft,nolock,timeo=3,intr 192.168.0.11:/opt/Hadoop/NameNode </strong><strong id="mrs_01_1665__abb5e5d16eefe438199093f9d52af4366"><span id="mrs_01_1665__t67fa7db0e67c497aaa92ed3280a386be">${BIGDATA_DATA_HOME}</span></strong><strong id="mrs_01_1665__a2930a415701b4681bf6be6bf47e71749">/namenode-nfs</strong></p>
+</p></li><li id="mrs_01_1665__lec43b294c00f4b179caab0db29a6ee80"><span>Perform <a href="#mrs_01_1665__lff3e9b51a9354f89ab59a1c515495818">2</a> to <a href="#mrs_01_1665__lbb64192db9814446b3744fcbf6326d7b">4</a> on the standby NameNode.</span><p><div class="note" id="mrs_01_1665__n2e6b829a816d41709657d631158ecee0"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1665__a26d11bc9e6b04c3d909faf30aaed628b">The names of the shared directories (for example, <span class="filepath" id="mrs_01_1665__filepath165171200127"><b>/opt/Hadoop/NameNode</b></span>) created on the NFS server by the active and standby NameNodes must be different.</p>
+</div></div>
+</p></li><li id="mrs_01_1665__ld130c3e3bba5416aabd6f7166399ae11"><span>Log in to FusionInsight Manager, and choose <strong id="mrs_01_1665__b1074581875511">Cluster</strong> &gt; <em id="mrs_01_1665__i13746818175515">Name of the desired cluster</em> &gt; <strong id="mrs_01_1665__b1074631805514">Service</strong> &gt; <strong id="mrs_01_1665__b107461518195514">HDFS</strong> &gt; <strong id="mrs_01_1665__b1374610183550">Configuration</strong> &gt; <strong id="mrs_01_1665__b16747161813559">All Configurations</strong>.</span></li><li id="mrs_01_1665__lcc2b89eab8594dc4b9bcb7a334978255"><span>In the search box, search for <strong id="mrs_01_1665__b11321958115612">dfs.namenode.name.dir</strong>, add <strong id="mrs_01_1665__b6247652151416"><span id="mrs_01_1665__tf8e5da4890964b7b8cf9116506cf3c9c">${BIGDATA_DATA_HOME}</span>/namenode-nfs</strong> to <strong id="mrs_01_1665__b103296583566">Value</strong>, and click <strong id="mrs_01_1665__b63301558155620">Save</strong>. Separate paths with commas (,).</span></li><li id="mrs_01_1665__l556fd47be4cb4881b98b52e1784bd944"><span>Click <strong id="mrs_01_1665__b8195111216579">OK</strong>. On the <strong id="mrs_01_1665__b55874428559">Dashboard</strong> tab page, choose <strong id="mrs_01_1665__b16587104215513">More</strong> &gt; <strong id="mrs_01_1665__b15588174211558">Restart Service</strong> to restart the service.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1667"></a><a name="mrs_01_1667"></a>
+
+<h1 class="topictitle1">Balancing DataNode Capacity</h1>
+<div id="body1595904094072"><div class="section" id="mrs_01_1667__sa2f81e4552564f5f83b6c20f3dff9870"><h4 class="sectiontitle">Scenario</h4><div class="note" id="mrs_01_1667__note17408121619136"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1667__p788202018132">This section applies to MRS 3.<em id="mrs_01_1667__i8151458105719">x</em> or later clusters.</p>
+</div></div>
+<p id="mrs_01_1667__a5d4c7cbff57444eba8f32f9d08bc1fdc">In the HDFS cluster, unbalanced disk usage among DataNodes may occur, for example, when new DataNodes are added to the cluster. Unbalanced disk usage may result in multiple problems. For example, MapReduce applications cannot make full use of local computing advantages, network bandwidth usage between data nodes cannot be optimal, or node disks cannot be used. Therefore, the system administrator needs to periodically check and maintain DataNode data balance.</p>
+<p id="mrs_01_1667__a167b321d04804a81b544580394a1a55f">HDFS provides a capacity balancing program Balancer. By running Balancer, you can balance the HDFS cluster and ensure that the difference between the disk usage of each DataNode and that of the HDFS cluster does not exceed the threshold. DataNode disk usage before and after balancing is shown in <a href="#mrs_01_1667__ff269b77c9222460985503fffcebf980e">Figure 1</a> and <a href="#mrs_01_1667__fee19cefb9d104f238448abdcf62f1e49">Figure 2</a>, respectively.</p>
+<div class="fignone" id="mrs_01_1667__ff269b77c9222460985503fffcebf980e"><a name="mrs_01_1667__ff269b77c9222460985503fffcebf980e"></a><a name="ff269b77c9222460985503fffcebf980e"></a><span class="figcap"><b>Figure 1 </b>DataNode disk usage before balancing</span><br><span><img id="mrs_01_1667__image51424194305" src="en-us_image_0000001349090497.png"></span></div>
+<div class="fignone" id="mrs_01_1667__fee19cefb9d104f238448abdcf62f1e49"><a name="mrs_01_1667__fee19cefb9d104f238448abdcf62f1e49"></a><a name="fee19cefb9d104f238448abdcf62f1e49"></a><span class="figcap"><b>Figure 2 </b>DataNode disk usage after balancing</span><br><span><img id="mrs_01_1667__i783989f5ce50419f86ae9ce67b5ae857_1" src="en-us_image_0000001296250300.png"></span></div>
+<p id="mrs_01_1667__ac7d0fe6d2a4544aaa3d34a2e1deb965a">The time of the balancing operation is affected by the following two factors:</p>
+<ol id="mrs_01_1667__od82c203b162f4ba381f6ae01e2964db9"><li id="mrs_01_1667__l39e65497ea0f41cfbe80cb2198311b3b">Total amount of data to be migrated:<p id="mrs_01_1667__a26ac18b3e1334a85a0887c25224f5990"><a name="mrs_01_1667__l39e65497ea0f41cfbe80cb2198311b3b"></a><a name="l39e65497ea0f41cfbe80cb2198311b3b"></a>The data volume of each DataNode must be greater than (Average usage - Threshold) x Average data volume and less than (Average usage + Threshold) x Average data volume. If the actual data volume is less than the minimum value or greater than the maximum value, imbalance occurs. The system sets the largest deviation volume on all DataNodes as the total data volume to be migrated.</p>
+</li><li id="mrs_01_1667__l1b23438ca89d48ce9739ba768f173a0d">Balancer migration is performed in sequence in iteration mode. The amount of data to be migrated in each iteration does not exceed 10 GB, and the usage of each iteration is recalculated.</li></ol>
+<p id="mrs_01_1667__a884e4bb810aa44eb99e51fdf5f485ea2">Therefore, for a cluster, you can estimate the time consumed by each iteration (by observing the time consumed by each iteration recorded in balancer logs) and divide the total data volume by 10 GB to estimate the task execution time.</p>
+<p id="mrs_01_1667__a37c21bd95b054b49968b0f56071698cd">The balancer can be started or stopped at any time.</p>
+</div>
+<div class="section" id="mrs_01_1667__s59281af9a01e4bad95b47a2f23bb3c40"><h4 class="sectiontitle">Impact on the System</h4><ul id="mrs_01_1667__uf4b67eaebf574e6e92c0bf41d60ec628"><li id="mrs_01_1667__l514a10139c53408f975a58dea47055be">The balance operation occupies network bandwidth resources of DataNodes. Perform the operation during maintenance based on service requirements.</li><li id="mrs_01_1667__l8672f039479a4c6a9710eff7bb9eaacc">The balance operation may affect the running services if the bandwidth traffic (the default bandwidth control is 20 MB/s) is reset or the data volume is increased.</li></ul>
+</div>
+<div class="section" id="mrs_01_1667__scfe492c93ccd4716af19b200010bdde7"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_1667__aec3b42bc8bcc447db1c0c08fe61bb391">The client has been installed.</p>
+</div>
+<div class="section" id="mrs_01_1667__s6b698d4d3cff4af0b91fa4b7e302e6b4"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1667__oebc904276e2c4997b77b84c1242d879d"><li id="mrs_01_1667__l604fff1b2aee4177856f9b95bafc7f5f"><span>Log in to the node where the client is installed as a client installation user. Run the following command to switch to the client installation directory, for example, <span class="filepath" id="mrs_01_1667__fb7a42ecbecd846c580e24049fce29301"><b>/opt/client</b></span>:</span><p><p id="mrs_01_1667__aa75644f4f7364a87ab1b876bd741bc4e"><strong id="mrs_01_1667__ae4c163187f9d41cca68cf36343d60c19">cd /opt/client</strong></p>
+<div class="note" id="mrs_01_1667__note68354112220"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1667__p108135442211">If the cluster is in normal mode, run the <strong id="mrs_01_1667__b14371588124132">su - omm</strong> command to switch to user <strong id="mrs_01_1667__b1372395494132">omm</strong>.</p>
+</div></div>
+</p></li><li id="mrs_01_1667__l103797cf114d4a42acf3338f121febf7"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_1667__a63db1593d01e4848beaa6662e7bdafa6"><strong id="mrs_01_1667__ae9c81e31ba0247a2a11c74524665e7a1">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_1667__l715e94e109b64cddb1454720cf5b355a"><span>If the cluster is in security mode, run the following command to authenticate the HDFS identity:</span><p><p id="mrs_01_1667__a8395c1de62e4448e91258bb04b634f08"><strong id="mrs_01_1667__a89d1854b858e470a8f038a9341fbfda5">kinit hdfs</strong></p>
+</p></li><li id="mrs_01_1667__l7357e93e5ba24051bb5783f062d39801"><span>Determine whether to adjust the bandwidth control.</span><p><ul id="mrs_01_1667__u077e3eb4d0454a88928f0a02e1973bcc"><li id="mrs_01_1667__ld5403143115b445a8360c1eb3904bb5c">If yes, go to <a href="#mrs_01_1667__l91d088e58d8d4bbbb720317d843ca5d3">5</a>.</li><li id="mrs_01_1667__l86ba906ec32444d7a574ecc41f0a39b0">If no, go to <a href="#mrs_01_1667__ld8ed77b8b7c745308eea6a68de2f4233">6</a>.</li></ul>
+</p></li><li id="mrs_01_1667__l91d088e58d8d4bbbb720317d843ca5d3"><a name="mrs_01_1667__l91d088e58d8d4bbbb720317d843ca5d3"></a><a name="l91d088e58d8d4bbbb720317d843ca5d3"></a><span>Run the following command to change the maximum bandwidth of Balancer, and then go to <a href="#mrs_01_1667__ld8ed77b8b7c745308eea6a68de2f4233">6</a>.</span><p><p id="mrs_01_1667__ada9f0a98b9d84968841b1b5e87b97057"><strong id="mrs_01_1667__ae589e9e7d3264e2aa401abcac631ae3e">hdfs dfsadmin -setBalancerBandwidth <em id="mrs_01_1667__a677f5a5140904011ab97019517195b7c">&lt;bandwidth in bytes per second&gt;</em></strong></p>
+<p id="mrs_01_1667__a9e8a211545044fa7a9f6b09ac8d2379e"><em id="mrs_01_1667__a1eb3ce5ce71c4aa19ff87af4083dc890">&lt;bandwidth in bytes per second&gt;</em> indicates the bandwidth control value, in bytes. For example, to set the bandwidth control to 20 MB/s (the corresponding value is 20971520), run the following command:</p>
+<p id="mrs_01_1667__afc1c0782fffa48d081ea6edae366cc07"><strong id="mrs_01_1667__ae41bb26104f949d08775f9e8f69de65a">hdfs dfsadmin -setBalancerBandwidth </strong><strong id="mrs_01_1667__a512d87b181a94dcaa4af1e79a4c81d51">20971520</strong></p>
+<div class="note" id="mrs_01_1667__n2a3ce2ad75ee41b985fadc9d6b89960c"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1667__u0f8c05bf980447d59299525f925b4812"><li id="mrs_01_1667__l432355c553cf4a5b9eaa087e455b8174">The default bandwidth control is 20 MB/s. This value is applicable to the scenario where the current cluster uses the 10GE network and services are being executed. If the service idle time window is insufficient for balance maintenance, you can increase the value of this parameter to shorten the balance time, for example, to 209715200 (200 MB/s).</li><li id="mrs_01_1667__li171516116227">The value of this parameter depends on the networking. If the cluster load is high, you can change the value to 209715200 (200 MB/s). If the cluster is idle, you can change the value to 1073741824 (1 GB/s).</li><li id="mrs_01_1667__la711733d37f64b829efccd2fbc843884">If the bandwidth of the DataNodes cannot reach the specified maximum bandwidth, modify the HDFS parameter <span class="parmname" id="mrs_01_1667__peda6dcfca5034f2aa71cf98eee506f52"><b>dfs.datanode.balance.max.concurrent.moves</b></span> on FusionInsight Manager, and change the number of threads for balancing on each DataNode to <span class="parmvalue" id="mrs_01_1667__pbd9e4b16b59b4068aca42a9cc3af8db4"><b>32</b></span> and restart the HDFS service.</li></ul>
+</div></div>
+</p></li><li id="mrs_01_1667__ld8ed77b8b7c745308eea6a68de2f4233"><a name="mrs_01_1667__ld8ed77b8b7c745308eea6a68de2f4233"></a><a name="ld8ed77b8b7c745308eea6a68de2f4233"></a><span>Run the following command to start the balance task:</span><p><p id="mrs_01_1667__abb5f90bee18244cfaa5e481d2cfecfe9"><strong id="mrs_01_1667__b878483519241">bash /opt/client/HDFS/hadoop/sbin/start-balancer.sh -threshold <em id="mrs_01_1667__a66574f833d744a888c77942328f81a82">&lt;threshold of </em>balancer<em id="mrs_01_1667__abe09dc4d6c0043b3816c1701f8d9a199">&gt;</em></strong></p>
+<p id="mrs_01_1667__a358685c69eea4da8a76b863f986147fc"><strong id="mrs_01_1667__a07616b00ccfd4783bd61516cc1d24a8b">-threshold</strong> specifies the deviation value of the DataNode disk usage, which is used for determining whether the HDFS data is balanced. When the difference between the disk usage of each DataNode and the average disk usage of the entire HDFS cluster is less than this threshold, the system considers that the HDFS cluster has been balanced and ends the balance task.</p>
+<p id="mrs_01_1667__a0b12c4134988451e8ac15a0432dcc96f">For example, to set deviation rate to 5%, run the following command:</p>
+<p id="mrs_01_1667__a1ce6fb4c0ffc45cd82d33d9342d3d227"><strong id="mrs_01_1667__b1051607819258">bash /opt/client/HDFS/hadoop/sbin/start-balancer.sh -threshold 5</strong></p>
+<div class="note" id="mrs_01_1667__n281b88c507ed4956ab5555acca484ce9"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1667__ua0f3aaedb2974df283f3b90fce566c3a"><li id="mrs_01_1667__li6583806485925">The preceding command executes the task in the background. You can query related logs in the <strong id="mrs_01_1667__b12772048224132">hadoop-root-balancer-</strong><em id="mrs_01_1667__i14907698484132">host name</em><strong id="mrs_01_1667__b12490388944132">.out log</strong> file in the <span class="filepath" id="mrs_01_1667__filepath5606458285934"><b>/opt/client/HDFS/hadoop/logs</b></span> directory of the host.</li><li id="mrs_01_1667__l43dd96b83334431baa9ad73057eb893a">To stop the balance task, run the following command:<p id="mrs_01_1667__a27deb7f90fb94fc78f81d33078075879"><a name="mrs_01_1667__l43dd96b83334431baa9ad73057eb893a"></a><a name="l43dd96b83334431baa9ad73057eb893a"></a><strong id="mrs_01_1667__abe220b02f4c24c958f0239138c7be899">bash /opt/client/HDFS/hadoop/sbin/stop-balancer.sh</strong></p>
+</li><li id="mrs_01_1667__li11447990163820">If only data on some nodes needs to be balanced, you can add the <strong id="mrs_01_1667__b2669897354132">-include</strong> parameter in the script to specify the nodes to be migrated. You can run commands to view the usage of different parameters.</li><li id="mrs_01_1667__li15985114161125"><span class="filepath" id="mrs_01_1667__filepath317296312617"><b>/opt/client</b></span> is the client installation directory. If the directory is inconsistent, replace it.</li><li id="mrs_01_1667__li280619398507">If the command fails to be executed and the error information <strong id="mrs_01_1667__b5141407434132">Failed to APPEND_FILE /system/balancer.id</strong> is displayed in the log, run the following command to forcibly delete <span class="filepath" id="mrs_01_1667__filepath132821528135419"><b>/system/balancer.id</b></span> and run the <strong id="mrs_01_1667__b15280356264132">start-balancer.sh</strong> script again:<p id="mrs_01_1667__p2490112534"><strong id="mrs_01_1667__b1988133805315">hdfs dfs -rm -f /system/balancer.id</strong></p>
+</li></ul>
+</div></div>
+</p></li><li id="mrs_01_1667__ldd4809ba655343e28e13bc9a4618ddf1"><span>After you run the script in <a href="#mrs_01_1667__ld8ed77b8b7c745308eea6a68de2f4233">6</a>, the <strong id="mrs_01_1667__b268442914377">hadoop-root-balancer-</strong><em id="mrs_01_1667__i1068472953716">Host name</em><strong id="mrs_01_1667__b168413291370">.out log</strong> file is generated in <span class="filepath" id="mrs_01_1667__filepath13686129183714"><b>/opt/client/HDFS/hadoop/logs</b></span>, the client installation directory. You can view the following information in the log:</span><p><ul id="mrs_01_1667__ul189163972711"><li id="mrs_01_1667__li988133942712">Time Stamp</li><li id="mrs_01_1667__li1288113972715">Bytes Already Moved</li><li id="mrs_01_1667__li389939142718">Bytes Left To Move</li><li id="mrs_01_1667__li12894398272">Bytes Being Moved</li></ul>
+<p id="mrs_01_1667__p48491839192717">If message "Balance took <em id="mrs_01_1667__i1562502943911">xxx</em> seconds" is displayed in the log, the balancing operation is complete.</p>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_1667__s2d29d02d51814b39b580eee7c3fe78b3"><h4 class="sectiontitle">Related Tasks</h4><p id="mrs_01_1667__ac15633109dfa4b61b714d2eb9ea8c341"><strong id="mrs_01_1667__acdec23e53bb240a6ab3898b4577be867">Enable automatic execution of the balance task</strong></p>
+<ol id="mrs_01_1667__o168842524bfb4c4fb48529bde29d3f84"><li id="mrs_01_1667__lcdb3f57f26834caea616d82d55f30e31"><span>Log in to FusionInsight Manager.</span></li><li id="mrs_01_1667__lb158aec85d9146d2870ff64ff50c4592"><span>Choose <strong id="mrs_01_1667__b10264010504132">Cluster</strong> &gt; <em id="mrs_01_1667__i19364104654132">Name of the desired cluster</em> &gt; <strong id="mrs_01_1667__b1295757864132">Services</strong> &gt; <strong id="mrs_01_1667__b13004857874132">HDFS</strong> &gt; <strong id="mrs_01_1667__b4932590744132">Configurations</strong>, select <span class="parmvalue" id="mrs_01_1667__p20d768b3e7714469ab7a4e7cb273bdcd"><b>All Configurations</b></span>, search for the following parameters, and change the parameter values.</span><p><ul id="mrs_01_1667__ul107742414323"><li id="mrs_01_1667__li197753418322"><span class="parmname" id="mrs_01_1667__p24df41ed81a043d18cc5a35827c0b404"><b>dfs.balancer.auto.enable</b></span> indicates whether to enable automatic balance task execution. The default value <span class="parmvalue" id="mrs_01_1667__pf1890637947046168862e1041fb7fa0f"><b>false</b></span> indicates that automatic balance task execution is disabled. The value <span class="parmvalue" id="mrs_01_1667__p30463741733442ecaa7068faa10fea00"><b>true</b></span> indicates that automatic execution is enabled.</li><li id="mrs_01_1667__li577544112322"><span class="parmname" id="mrs_01_1667__p9fe20e27091a4bb299d19fc6e745899c"><b>dfs.balancer.auto.cron.expression</b></span> indicates the task execution time. The default value <span class="parmvalue" id="mrs_01_1667__p27a8881744924372826e4d8e4ed60920"><b>0 1 * * 6</b></span> indicates that the task is executed at 01:00 every Saturday. This parameter is valid only when the automatic execution is enabled.<p id="mrs_01_1667__ad7e288273d2b49f0b7be0434535bc590"><a href="#mrs_01_1667__t3d64fdb3254a42beaed3c5e4c7087501">Table 1</a> describes the expression for modifying this parameter. <span class="parmname" id="mrs_01_1667__pf465a6f5207c4ad89ef486a1ce649542"><b>*</b></span> indicates consecutive time segments.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1667__t3d64fdb3254a42beaed3c5e4c7087501"></a><a name="t3d64fdb3254a42beaed3c5e4c7087501"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1667__t3d64fdb3254a42beaed3c5e4c7087501" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters in the execution expression</caption><thead align="left"><tr id="mrs_01_1667__r133881eafc1f46aea5f6371929c4e22f"><th align="left" class="cellrowborder" valign="top" width="34.589999999999996%" id="mcps1.3.5.3.2.2.1.2.4.2.3.1.1"><p id="mrs_01_1667__a80d6d38da36e4d6e9a37b77b56f4592f">Column</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="65.41%" id="mcps1.3.5.3.2.2.1.2.4.2.3.1.2"><p id="mrs_01_1667__a595c7e88e6b84c1ab4864c43da325d33">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1667__rbfe9d24c7ab04e05a4a58327b71d9a87"><td class="cellrowborder" valign="top" width="34.589999999999996%" headers="mcps1.3.5.3.2.2.1.2.4.2.3.1.1 "><p id="mrs_01_1667__a11ff9d30f1094432803a6ddbc085270c">1</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.41%" headers="mcps1.3.5.3.2.2.1.2.4.2.3.1.2 "><p id="mrs_01_1667__af72fbcb4cb3b4bcd9f366322734d23d2">Minute. The value ranges from 0 to 59.</p>
+</td>
+</tr>
+<tr id="mrs_01_1667__r9eec332c36544d9688d4008d3424636e"><td class="cellrowborder" valign="top" width="34.589999999999996%" headers="mcps1.3.5.3.2.2.1.2.4.2.3.1.1 "><p id="mrs_01_1667__a5872e9d867924bed8427b703ffd6bd3f">2</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.41%" headers="mcps1.3.5.3.2.2.1.2.4.2.3.1.2 "><p id="mrs_01_1667__a4063e331ed894557b44340dd903244be">Hour. The value ranges from 0 to 23.</p>
+</td>
+</tr>
+<tr id="mrs_01_1667__r809f072959fd4f65a658c13c0bf68309"><td class="cellrowborder" valign="top" width="34.589999999999996%" headers="mcps1.3.5.3.2.2.1.2.4.2.3.1.1 "><p id="mrs_01_1667__a0684b368e7cc485db316bcc28a6b845e">3</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.41%" headers="mcps1.3.5.3.2.2.1.2.4.2.3.1.2 "><p id="mrs_01_1667__a46f0dcb32b604285800b08f1abd8990a">Date. The value ranges from 1 to 31.</p>
+</td>
+</tr>
+<tr id="mrs_01_1667__r5e092720220e4b149f8b4b536a95abf0"><td class="cellrowborder" valign="top" width="34.589999999999996%" headers="mcps1.3.5.3.2.2.1.2.4.2.3.1.1 "><p id="mrs_01_1667__a84f503646dd24e75be438e93da940eb7">4</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.41%" headers="mcps1.3.5.3.2.2.1.2.4.2.3.1.2 "><p id="mrs_01_1667__a6dc2ac377b1a4d60b8c24dc35b389038">Month. The value ranges from 1 to 12.</p>
+</td>
+</tr>
+<tr id="mrs_01_1667__rba6b8f515b6842ada34444938bd95b66"><td class="cellrowborder" valign="top" width="34.589999999999996%" headers="mcps1.3.5.3.2.2.1.2.4.2.3.1.1 "><p id="mrs_01_1667__ad81d7ea9f70b453d94bcf78920508388">5</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.41%" headers="mcps1.3.5.3.2.2.1.2.4.2.3.1.2 "><p id="mrs_01_1667__aa416e2cd6ac54b6abea73c05a63c0768">Week. The value ranges from 0 to 6. <strong id="mrs_01_1667__b10116414404132">0</strong> indicates Sunday.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1667__li18775144116322"><span class="parmname" id="mrs_01_1667__parmname59219439145128"><b>dfs.balancer.auto.stop.cron.expression</b></span> indicates the task ending time. The default value is empty, indicating that the running balance task is not automatically stopped. For example, <strong id="mrs_01_1667__b4104727534132">0 5 * * 6</strong> indicates that the balance task is stopped at 05:00 every Saturday. This parameter is valid only when the automatic execution is enabled.<p id="mrs_01_1667__p32045251145128"><a href="#mrs_01_1667__t3d64fdb3254a42beaed3c5e4c7087501">Table 1</a> describes the expression for modifying this parameter. <span class="parmname" id="mrs_01_1667__parmname45528568145128"><b>*</b></span> indicates consecutive time segments.</p>
+</li></ul>
+</p></li><li id="mrs_01_1667__l4d69ef5d8cd641a7b5ef72d3e52706bd"><span>Running parameters of the balance task that is automatically executed are shown in <a href="#mrs_01_1667__tc3bff391b0c14479916d9097f5e28238">Table 2</a>.</span><p>
+<div class="tablenoborder"><a name="mrs_01_1667__tc3bff391b0c14479916d9097f5e28238"></a><a name="tc3bff391b0c14479916d9097f5e28238"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1667__tc3bff391b0c14479916d9097f5e28238" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Running parameters of the automatic balancer</caption><thead align="left"><tr id="mrs_01_1667__r1f85acce9189499d8194b497737f48dd"><th align="left" class="cellrowborder" valign="top" width="20.74%" id="mcps1.3.5.3.3.2.1.2.4.1.1"><p id="mrs_01_1667__ae1aeb98710e6446284dedef509b0eca3">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="45.93%" id="mcps1.3.5.3.3.2.1.2.4.1.2"><p id="mrs_01_1667__a7d18848d35b1439cae087f08bc488195">Parameter description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33%" id="mcps1.3.5.3.3.2.1.2.4.1.3"><p id="mrs_01_1667__a1a3d556b3d8447a291ac8a7d12b55123">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1667__r67feba2786d547f998bb0749c88dbf0a"><td class="cellrowborder" valign="top" width="20.74%" headers="mcps1.3.5.3.3.2.1.2.4.1.1 "><p id="mrs_01_1667__a1f8497a087ba41ae9308a676e20a88b9">dfs.balancer.auto.threshold</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.93%" headers="mcps1.3.5.3.3.2.1.2.4.1.2 "><p id="mrs_01_1667__a41425b1aa4624a4cbbbe635152245a65">Specifies the balancing threshold of the disk capacity percentage. This parameter is valid only when <strong id="mrs_01_1667__b186416111214">dfs.balancer.auto.enable</strong> is set to <strong id="mrs_01_1667__b14642013128">true</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33%" headers="mcps1.3.5.3.3.2.1.2.4.1.3 "><p id="mrs_01_1667__afdf425cc0c574a7a8c39e27515266fc8">10</p>
+</td>
+</tr>
+<tr id="mrs_01_1667__rb278d63130bf42b0ab45e2d015ec98d7"><td class="cellrowborder" valign="top" width="20.74%" headers="mcps1.3.5.3.3.2.1.2.4.1.1 "><p id="mrs_01_1667__a3771c3a90b39427fbc2f501246f6393c">dfs.balancer.auto.exclude.datanodes</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.93%" headers="mcps1.3.5.3.3.2.1.2.4.1.2 "><p id="mrs_01_1667__aacfe871677644f46884b1d677fbb7890">Specifies the list of DataNodes on which automatic disk balancing is not required. This parameter is valid only when <strong id="mrs_01_1667__b4661362164132">dfs.balancer.auto.enable</strong> is set to <strong id="mrs_01_1667__b1046017064132">true</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33%" headers="mcps1.3.5.3.3.2.1.2.4.1.3 "><p id="mrs_01_1667__a541f5d0d9926458c907dfa71d4ef5ed2">The value is left blank by default.</p>
+</td>
+</tr>
+<tr id="mrs_01_1667__row16881153672413"><td class="cellrowborder" valign="top" width="20.74%" headers="mcps1.3.5.3.3.2.1.2.4.1.1 "><p id="mrs_01_1667__p16882113632412">dfs.balancer.auto.bandwidthPerSec</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.93%" headers="mcps1.3.5.3.3.2.1.2.4.1.2 "><p id="mrs_01_1667__p6882113642410">Specifies the maximum bandwidth (MB/s) of each DataNode for load balancing.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33%" headers="mcps1.3.5.3.3.2.1.2.4.1.3 "><p id="mrs_01_1667__p5882236142420">20</p>
+</td>
+</tr>
+<tr id="mrs_01_1667__row14427114052417"><td class="cellrowborder" valign="top" width="20.74%" headers="mcps1.3.5.3.3.2.1.2.4.1.1 "><p id="mrs_01_1667__p24271240192412">dfs.balancer.auto.maxIdleIterations</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.93%" headers="mcps1.3.5.3.3.2.1.2.4.1.2 "><p id="mrs_01_1667__p8427194018243">Specifies the maximum number of consecutive idle iterations of Balancer. An idle iteration is an iteration without moving blocks. When the number of consecutive idle iterations reaches the maximum number, the balance task ends. The value <strong id="mrs_01_1667__b19494195874132">-1</strong> indicates infinity.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33%" headers="mcps1.3.5.3.3.2.1.2.4.1.3 "><p id="mrs_01_1667__p184271040132416">5</p>
+</td>
+</tr>
+<tr id="mrs_01_1667__row1523733418470"><td class="cellrowborder" valign="top" width="20.74%" headers="mcps1.3.5.3.3.2.1.2.4.1.1 "><p id="mrs_01_1667__p18237134144715">dfs.balancer.auto.maxDataNodesNum</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.93%" headers="mcps1.3.5.3.3.2.1.2.4.1.2 "><p id="mrs_01_1667__p1057795312479">Controls the number of DataNodes that perform automatic balance tasks. Assume that the value of this parameter is <em id="mrs_01_1667__i725827053">N</em>. If <em id="mrs_01_1667__i1543711311657">N</em> is greater than 0, data is balanced between <em id="mrs_01_1667__i1831836557">N</em> DataNodes with the highest percentage of remaining space and <em id="mrs_01_1667__i201711401854">N</em> DataNodes with the lowest percentage of remaining space. If <em id="mrs_01_1667__i8650643952">N</em> is 0, data is balanced among all DataNodes in the cluster.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33%" headers="mcps1.3.5.3.3.2.1.2.4.1.3 "><p id="mrs_01_1667__p1823753474719">5</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_1667__l4378a2e69b784fc1a5504d74d34a6dfd"><span>Click <span class="uicontrol" id="mrs_01_1667__uef233ed4273041cb89e87a11000681ad"><b>Save</b></span> to make configurations take effect. You do not need to restart the HDFS service.</span><p><p id="mrs_01_1667__a1b1ebe1a6dbf4b1aadc6db75a2a6f46a">Go to the <strong id="mrs_01_1667__b12145285374132">/var/log/Bigdata/hdfs/nn/hadoop-omm-balancer-</strong><em id="mrs_01_1667__i776770124132">Host name</em><strong id="mrs_01_1667__b18048468064132">.log</strong> file to view the task execution logs saved in the active NameNode.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1669.html b/docs/mrs/component-operation-guide/mrs_01_1669.html
new file mode 100644
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@@ -0,0 +1,35 @@
+<a name="mrs_01_1669"></a><a name="mrs_01_1669"></a>
+
+<h1 class="topictitle1">Configuring the Damaged Disk Volume</h1>
+<div id="body1595904094267"><div class="section" id="mrs_01_1669__se9a5b790a3ca4da8b5c73d5bc03c0976"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1669__a64c644a246234131b439fed218bdfbb9">In the open source version, if multiple data storage volumes are configured for a DataNode, the DataNode stops providing services by default if one of the volumes is damaged. You can change the value of <span class="parmname" id="mrs_01_1669__p41ee43b1847545938c00ff261db9d422"><b>dfs.datanode.failed.volumes.tolerated</b></span> to specify the number of damaged disk volumes that are allowed. If the number of damaged volumes does not exceed the threshold, DataNode continues to provide services.</p>
+</div>
+<div class="section" id="mrs_01_1669__sc580f9673a7c45898dacbb3ce0733f73"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_1669__a6c8adcc889a349be9a30e0fd287a80eb"><strong id="mrs_01_1669__a5e112ec75e4c4b1da9a3ae3629e5c6ed">Navigation path for setting parameters:</strong></p>
+<p id="mrs_01_1669__p39519895015">Go to the <strong id="mrs_01_1669__b122371363452915">All Configurations</strong> page of HDFS and enter a parameter name in the search box by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1669__t2fe78eb57edc4ea38081c73c9fc41d26" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1669__r9394ce0031654c36bfa119191eb38a3c"><th align="left" class="cellrowborder" valign="top" width="28.13%" id="mcps1.3.2.4.2.4.1.1"><p id="mrs_01_1669__a16395d3f4950468c9bcb643f8ebcd17b"><strong id="mrs_01_1669__a1fda7bef58d447a7b437c2c7f4e8e637">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="56.14%" id="mcps1.3.2.4.2.4.1.2"><p id="mrs_01_1669__a51eb4d304b514f1d9f0e059767045c41"><strong id="mrs_01_1669__a34cd8869c2a44d3a923adc2d0938c526">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.73%" id="mcps1.3.2.4.2.4.1.3"><p id="mrs_01_1669__aef5c423c898f4b0a8bb684be692c0c7b"><strong id="mrs_01_1669__a687f33097c124b94ae8b5e1c4cc1b951">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1669__ra7c78809570e480db860c9fe084231a9"><td class="cellrowborder" valign="top" width="28.13%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_1669__a47f9f99fc90240b7a4ec386c0a8c39e9">dfs.datanode.failed.volumes.tolerated</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.14%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_1669__p129531312181810">Specifies the number of damaged volumes that are allowed before the DataNode stops providing services. By default, there must be at least one valid volume. The value <strong id="mrs_01_1669__b156070575752915">-1</strong> indicates that the minimum value of a valid volume is <strong id="mrs_01_1669__b45920889552915">1</strong>. The value greater than or equal to <strong id="mrs_01_1669__b99690923152915">0</strong> indicates the number of damaged volumes that are allowed.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.73%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_1669__p1218816275235">Versions earlier than MRS 3.x: 0</p>
+<p id="mrs_01_1669__aa47d5ae855354547ace7ccf275e61210">MRS 3.<em id="mrs_01_1669__i41741322544">x</em> or later: –1</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1670.html b/docs/mrs/component-operation-guide/mrs_01_1670.html
new file mode 100644
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@@ -0,0 +1,48 @@
+<a name="mrs_01_1670"></a><a name="mrs_01_1670"></a>
+
+<h1 class="topictitle1">Configuring the NameNode Blacklist</h1>
+<div id="body1595904094489"><div class="section" id="mrs_01_1670__s6dc176aeffe0429586033a843a87b4ff"><h4 class="sectiontitle">Scenario</h4><div class="note" id="mrs_01_1670__note17408121619136"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1670__p788202018132">This section applies to MRS 3.<em id="mrs_01_1670__i31521491551914">x</em> or later.</p>
+</div></div>
+<p id="mrs_01_1670__a44ceaaaed74c436e9ab789f38d520c9c">In the existing default DFSclient failover proxy provider, if a NameNode in a process is faulty, all HDFS client instances in the same process attempt to connect to the NameNode again. As a result, the application waits for a long time and timeout occurs.</p>
+<p id="mrs_01_1670__ae0c903a4def34427ad2d1cdd88d41c36">When clients in the same JVM process connect to the NameNode that cannot be accessed, the system is overloaded. The NameNode blacklist is equipped with the MRS cluster to avoid this problem.</p>
+<p id="mrs_01_1670__a3b63d79c3fe7499a9a5609b2735a9442">In the new Blacklisting DFSClient failover provider, the faulty NameNode is recorded in a list. The DFSClient then uses the information to prevent the client from connecting to such NameNodes again. This function is called NameNode blacklisting.</p>
+<p id="mrs_01_1670__a28b60aeee9d3457bb79ae11bd1f178f7">For example, there is a cluster with the following configurations:</p>
+<p id="mrs_01_1670__a6d5bb80d1175430e9c8f40e91ab2fad4">namenode: nn1, nn2</p>
+<p id="mrs_01_1670__a2bc4728ae4ec4c04aff431b3ab2a3ae2">dfs.client.failover.connection.retries: 20</p>
+<p id="mrs_01_1670__a239978a84eda486ea4032a0910fb3eb9">Processes in a single JVM: 10 clients</p>
+<p id="mrs_01_1670__a19103610dc734cfbaed96a2f637836de">In the preceding cluster, if the active <strong id="mrs_01_1670__b133082847851914">nn1</strong> cannot be accessed, client1 will retry the connection for 20 times. Then, a failover occurs, and client1 will connect to <strong id="mrs_01_1670__b208930692551914">nn2</strong>. In the same way, other clients also connect to <strong id="mrs_01_1670__b207885016751914">nn2</strong> when the failover occurs after retrying the connection to <strong id="mrs_01_1670__b108677770251914">nn1</strong> for 20 times. Such process prolongs the fault recovery of NameNode.</p>
+<p id="mrs_01_1670__aa622366b671c42ab9bf74cdfea2b3f13">In this case, the NameNode blacklisting adds <strong id="mrs_01_1670__b145100313451914">nn1</strong> to the blacklist when client1 attempts to connect to the active <strong id="mrs_01_1670__b82414218651914">nn1</strong> which is already faulty. Therefore, other clients will avoid trying to connect to <strong id="mrs_01_1670__b154084953151914">nn1</strong> but choose <strong id="mrs_01_1670__b72612214451914">nn2</strong> directly.</p>
+<div class="note" id="mrs_01_1670__n1bb072514465476a89070ac3ac3967ac"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1670__aa1cfe6398f7347738444ff624c722789">If, at any time, all NameNodes are added to the blacklist, the content in the blacklist will be cleared, and the client attempts to connect to the NameNodes based on the initial NameNode list. If any fault occurs again, the NameNode is still added to the blacklist.</p>
+</div></div>
+<div class="fignone" id="mrs_01_1670__fe500771db76c4050878ae8c76d10f14f"><span class="figcap"><b>Figure 1 </b>NameNode blacklisting working principle</span><br><span><img id="mrs_01_1670__i7fca86409b144596b1c00bc142459d35" src="en-us_image_0000001296090668.jpg"></span></div>
+</div>
+<div class="section" id="mrs_01_1670__s9b3b566830ab41f38bda05ce68bbf9ac"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_1670__p39519895015">Go to the <strong id="mrs_01_1670__b40000339251914">All Configurations</strong> page of HDFS and enter a parameter name in the search box by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1670__t612869dbc5884d99b906970db3d622b1" frame="border" border="1" rules="all"><caption><b>Table 1 </b>NameNode blacklisting parameters</caption><thead align="left"><tr id="mrs_01_1670__reee29779c23d45c69312af6d5b76acc3"><th align="left" class="cellrowborder" valign="top" width="22.24%" id="mcps1.3.2.3.2.4.1.1"><p id="mrs_01_1670__a66cc961b1e1f47e8be948aab0ef9c2cb"><strong id="mrs_01_1670__a71da6668b2aa4b2b8a3f8f7dbbaf915c">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="59.85%" id="mcps1.3.2.3.2.4.1.2"><p id="mrs_01_1670__a4ddf7fc4f39d4a3e95d3125b14becb62"><strong id="mrs_01_1670__acdbd01395e3e47f2bde4d1a2ac242a92">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="17.91%" id="mcps1.3.2.3.2.4.1.3"><p id="mrs_01_1670__a71d128b827034ba882392ff46d2fd411"><strong id="mrs_01_1670__a25e267a6b6cd486ab7469a63cb2e0081">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1670__r3b6957ea2597406a85aab12626a25b59"><td class="cellrowborder" valign="top" width="22.24%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1670__abe79098f12fe42a7982c1305dbe65e3d">dfs.client.failover.proxy.provider.<em id="mrs_01_1670__i88511626712">[nameservice ID]</em></p>
+</td>
+<td class="cellrowborder" valign="top" width="59.85%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1670__af5e96f274fd44eb2ba641fe1479d6539">Client Failover proxy provider class which creates the NameNode proxy using the authenticated protocol.</p>
+<p id="mrs_01_1670__p17921734930">Set this parameter to <span class="parmvalue" id="mrs_01_1670__parmvalue115126475221"><b>org.apache.hadoop.hdfs.server.namenode.ha.BlackListingFailoverProxyProvider</b></span>.</p>
+<p id="mrs_01_1670__p16896342319">You can configure the observer NameNode to process read requests.</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.91%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1670__p14762216515">org.apache.hadoop.hdfs.server.namenode.ha.AdaptiveFailoverProxyProvider</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1672.html b/docs/mrs/component-operation-guide/mrs_01_1672.html
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+<a name="mrs_01_1672"></a><a name="mrs_01_1672"></a>
+
+<h1 class="topictitle1">Optimizing HDFS NameNode RPC QoS</h1>
+<div id="body1595904095016"><div class="section" id="mrs_01_1672__s3e9bbc9205554c3b9aa1fc5950d912ba"><h4 class="sectiontitle">Scenarios</h4><div class="note" id="mrs_01_1672__note17408121619136"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1672__p788202018132">This section applies to MRS 3.<em id="mrs_01_1672__i39198776652844">x</em> or later.</p>
+</div></div>
+<p id="mrs_01_1672__a967524a7c2354a59903e938fe5d47cd1">Several finished Hadoop clusters are faulty because the NameNode is overloaded and unresponsive.</p>
+<p id="mrs_01_1672__abd57e221f42a4b6c950170603fa987c3">Such problem is caused by the initial design of Hadoop: In Hadoop, the NameNode functions as an independent part and in its namespace coordinates various HDFS operations, including obtaining the data block location, listing directories, and creating files. The NameNode receives HDFS operations, regards them as RPC calls, and places them in the FIFO call queue for read threads to process. Requests in FIFO call queue are served first-in first-out. However, users who perform more I/O operations are served more time than those performing fewer I/O operations. In this case, the FIFO is unfair and causes the delay.</p>
+<div class="fignone" id="mrs_01_1672__fe168961bff1341b580de6bce012bcce8"><span class="figcap"><b>Figure 1 </b>NameNode request processing based on the FIFO call queue</span><br><span><img id="mrs_01_1672__icf160a4e97164d4c95218f6335046c1a_1" src="en-us_image_0000001296250312.png"></span></div>
+<p id="mrs_01_1672__aa2baa4091b5641cda9c91cbbd6801b05">The unfair problem and delaying mentioned before can be improved by replacing the FIFO queue with a new type of queue called FairCallQueue. In this way, FAIR queues assign incoming RPC calls to multiple queues based on the scale of the caller's call. The scheduling module tracks the latest calls and assigns a higher priority to users with a smaller number of calls.</p>
+<div class="fignone" id="mrs_01_1672__f517b7b0658e3474f994f11a1cedf17d2"><span class="figcap"><b>Figure 2 </b>NameNode request processing based on FAIRCallQueue</span><br><span><img id="mrs_01_1672__ieb3d9878b2e9494ea9632743ca1d19eb_1" src="en-us_image_0000001349289997.png"></span></div>
+</div>
+<div class="section" id="mrs_01_1672__sa340a845da7a4ff39ec7e91be6d05ecd"><h4 class="sectiontitle">Configuration Description</h4><ul id="mrs_01_1672__u886c1599555d46ceaa54db513a5339b9"><li id="mrs_01_1672__l7fffe83c8d0e4730a8ce16a754781558">FairCallQueue ensures quality of service (QoS) by internally adjusting the order in which RPCs are invoked.<div class="p" id="mrs_01_1672__en-us_topic_0050695926_p563177341245"><a name="mrs_01_1672__l7fffe83c8d0e4730a8ce16a754781558"></a><a name="l7fffe83c8d0e4730a8ce16a754781558"></a>This queue consists of the following parts:<ol id="mrs_01_1672__o507a35c9cb904047b2dcda26c89dd9b4"><li id="mrs_01_1672__l673d7ea7bedf4c1e9899711e3fa7fb99">DecayRpcScheduler: used to provide priority values from 0 to N (the value 0 indicates the highest priority).</li><li id="mrs_01_1672__lc4cd419bc5c548db90ec30035875a37a">Multi-level queues (located in the FairCallQueue): used to ensure that queues are invoked in order of priority.</li><li id="mrs_01_1672__lde35c98a63ee477c84aad553cf880d57">Multi-channel converters (provided with Weighted Round Robin Multiplexer): used to provide logic control for queue selection.</li></ol>
+</div>
+<p id="mrs_01_1672__ac5a698f0a4ca4b51a64e7c2cd395f845">After the FairCallQueue is configured, the control module determines the sub-queue to which the received invoking is allocated. The current scheduling module is DecayRpcScheduler, which only continuously tracks the priority numbers of various calls and periodically reduces these numbers.</p>
+<p id="mrs_01_1672__p39519895015">Go to the <strong id="mrs_01_1672__b7532125532510">All Configurations</strong> page of HDFS and enter a parameter name in the search box by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1672__t27bc2ba50fba42e7bbe5d57d17907c14" frame="border" border="1" rules="all"><caption><b>Table 1 </b>FairCallQueue parameters</caption><thead align="left"><tr id="mrs_01_1672__rd6feabb33b164530a53c768eaa9af4a3"><th align="left" class="cellrowborder" valign="top" width="28.449999999999996%" id="mcps1.3.2.2.1.4.2.4.1.1"><p id="mrs_01_1672__a95502d30b61f44e587f2894252c637f7">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="49.309999999999995%" id="mcps1.3.2.2.1.4.2.4.1.2"><p id="mrs_01_1672__a2082ec30b53c408bb251559ca50ce9ca">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="22.24%" id="mcps1.3.2.2.1.4.2.4.1.3"><p id="mrs_01_1672__abbb1a82152e84ce6ad639c1854984589">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1672__rbc8d284610024e5087e4de8290b7ef56"><td class="cellrowborder" valign="top" width="28.449999999999996%" headers="mcps1.3.2.2.1.4.2.4.1.1 "><p id="mrs_01_1672__afe49a7a0d68748099584871cf0289ece">ipc.<em id="mrs_01_1672__i176271051213">&lt;port&gt;</em>.callqueue.impl</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.309999999999995%" headers="mcps1.3.2.2.1.4.2.4.1.2 "><p id="mrs_01_1672__a39a2dcc92c0848008f25fe8c6172bbde">Specifies the queue implementation class. You need to run the <strong id="mrs_01_1672__b171855471452844">org.apache.hadoop.ipc.FairCallQueue</strong> command to enable the QoS feature.</p>
+</td>
+<td class="cellrowborder" valign="top" width="22.24%" headers="mcps1.3.2.2.1.4.2.4.1.3 "><p id="mrs_01_1672__aeecd71440d514750a2544aa7e93c92c2">java.util.concurrent.LinkedBlockingQueue</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+<ul id="mrs_01_1672__u34b378d14a834999837d4f28f26937d8"><li id="mrs_01_1672__laa369ef85748430bbb356ddb368100e1">RPC BackOff<p id="mrs_01_1672__ab4b0ec8ca11d4ec49dd0edeaed2954f5"><a name="mrs_01_1672__laa369ef85748430bbb356ddb368100e1"></a><a name="laa369ef85748430bbb356ddb368100e1"></a>Backoff is one of the FairCallQueue functions. It requires the client to retry operations (such as creating, deleting, and opening a file) after a period of time. When the backoff occurs, the RCP server throws RetriableException. The FairCallQueue performs backoff in either of the following cases:</p>
+<ul id="mrs_01_1672__ub7f8e7d4186542ae9b69855ea1fec6a4"><li id="mrs_01_1672__la8026d6b0e114cfb9957badda94dc7d1">The queue is full, that is, there are many client calls in the queue.</li><li id="mrs_01_1672__ld045c4c57f6f45abad3d64e832e35d7a">The queue response time is longer than the threshold time (specified by the <span class="parmname" id="mrs_01_1672__p719a16cb87a54ac883f5d4a3f56be38e"><b>ipc.&lt;port&gt;.decay-scheduler.backoff.responsetime.thresholds</b></span> parameter).</li></ul>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1672__t8dc3339353d54546b8c7cf0e8d7ce0b4" frame="border" border="1" rules="all"><caption><b>Table 2 </b>RPC Backoff configuration</caption><thead align="left"><tr id="mrs_01_1672__r690aef16d0e4480ba22759805df365ff"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.3.1.3.2.4.1.1"><p id="mrs_01_1672__acd1d6abc60e84588936279c2348504b3">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.3.1.3.2.4.1.2"><p id="mrs_01_1672__acb61d8dcfab544acb3922cbbf8d15d88">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.3.1.3.2.4.1.3"><p id="mrs_01_1672__a1466f852cbf049de8822acd985c3ba98">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1672__r8167d00e68ac4784bc3d85933795667c"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.1.3.2.4.1.1 "><p id="mrs_01_1672__ac541c6bab7584c8191a881668947f10f">ipc.<em id="mrs_01_1672__i365185711116">&lt;port&gt;</em>.backoff.enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.1.3.2.4.1.2 "><p id="mrs_01_1672__en-us_topic_0050695926_p63951214536">Specifies whether to enable the backoff. When the current application contains a large number of user callings, the RPC request is blocked if the connection limit of the operating system is not reached. Alternatively, when the RPC or NameNode is heavily loaded, some explicit exceptions can be thrown back to the client based on certain policies. The client can understand these exceptions and perform exponential rollback, which is another implementation of the RetryInvocationHandler class.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.1.3.2.4.1.3 "><p id="mrs_01_1672__ad7e2be8c1b1044058ee8da1e4b6c60fc">false</p>
+</td>
+</tr>
+<tr id="mrs_01_1672__rdee4e8e4e04d4cf88d2d3b3f2b98369d"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.1.3.2.4.1.1 "><p id="mrs_01_1672__abc980744ffde41398d76d37e70191855">ipc.<em id="mrs_01_1672__i1322261923">&lt;port&gt;</em>.decay-scheduler.backoff.responsetime.enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.1.3.2.4.1.2 "><p id="mrs_01_1672__afc869e77847349d99926617c44bda5e4">Indicate whether to enable the backoff based on the average queue response time.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.1.3.2.4.1.3 "><p id="mrs_01_1672__a6a077b678695471b95f2bde7a56bade5">false</p>
+</td>
+</tr>
+<tr id="mrs_01_1672__r62187403c9e24dfa92156421e890a038"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.1.3.2.4.1.1 "><p id="mrs_01_1672__adf44f709512740d391328122636705bb">ipc.<em id="mrs_01_1672__i668329929">&lt;port&gt;</em>.decay-scheduler.backoff.responsetime.thresholds</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.1.3.2.4.1.2 "><p id="mrs_01_1672__af97a510ccf514b98a2c655d0f33c289e">Configure the response time threshold for each queue. The response time threshold must match the number of priorities (the value of <strong id="mrs_01_1672__b122895452509">ipc.&lt;port&gt; .faircallqueue.priority-levels</strong>). Unit: millisecond</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.1.3.2.4.1.3 "><p id="mrs_01_1672__ae3c19719183e4320bb8b42b7aa0054cb">10000,20000,30000,40000</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+<div class="note" id="mrs_01_1672__n72148621652549ba91d806dd755aba25"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1672__u2f59012f70814b61940bfa118c97cafd"><li id="mrs_01_1672__l828dc842ca1447d4a201616cd801f019"><strong id="mrs_01_1672__b17690124885012">&lt;port&gt;</strong> indicates the RPC port configured on the NameNode.</li><li id="mrs_01_1672__l185e035edea24acfa214b8b6e513bec1">The backoff function based on the response time takes effect only when <span class="parmname" id="mrs_01_1672__p6556d354f44647bab2223e51f953354d"><b>ipc.&lt;port&gt; .backoff.enable</b></span> is set to <span class="parmvalue" id="mrs_01_1672__p9a5b749902a44b8e9c19316f19612b11"><b>true</b></span>.</li></ul>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1673.html b/docs/mrs/component-operation-guide/mrs_01_1673.html
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+<a name="mrs_01_1673"></a><a name="mrs_01_1673"></a>
+
+<h1 class="topictitle1">Optimizing HDFS DataNode RPC QoS</h1>
+<div id="body1595904095018"><div class="section" id="mrs_01_1673__scf3d57eb042a476eb4b45bd76e9109a5"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1673__a33bf5e65d2b2451f8844c9f9a1778ae6">When the speed at which the client writes data to the HDFS is greater than the disk bandwidth of the DataNode, the disk bandwidth is fully occupied. As a result, the DataNode does not respond. The client can back off only by canceling or restoring the channel, which results in write failures and unnecessary channel recovery operations.</p>
+<div class="note" id="mrs_01_1673__note17408121619136"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1673__p788202018132">This section applies to MRS 3.<em id="mrs_01_1673__i204366736752853">x</em> or later.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1673__sdc5790c107d44805be290d9a4313d9f0"><h4 class="sectiontitle">Configuration</h4><p id="mrs_01_1673__ab7e001413e2e464a8de900c02bb39bd2">The new configuration parameter <span class="parmname" id="mrs_01_1673__p9568055d849b4b418ff34c7083988f7c"><b>dfs.pipeline.ecn</b></span> is introduced. When this configuration is enabled, the DataNode sends a signal from the write channel when the write channel is overloaded. The client may perform backoff based on the blocking signal to prevent the system from being overloaded. This configuration parameter is introduced to make the channel more stable and reduce unnecessary cancellation or recovery operations. After receiving the signal, the client backs off for a period of time (5,000 ms), and then adjusts the backoff time based on the related filter (the maximum backoff time is 50,000 ms).</p>
+<p id="mrs_01_1673__p39519895015">Go to the <strong id="mrs_01_1673__b139895610267">All Configurations</strong> page of HDFS and enter a parameter name in the search box by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1673__t2f07c6e2b2004abbb948859ebcdc4bb6" frame="border" border="1" rules="all"><caption><b>Table 1 </b>DN ECN configuration</caption><thead align="left"><tr id="mrs_01_1673__r16449c2b14b7455e9f175612a5911c75"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.4.2.4.1.1"><p id="mrs_01_1673__a1616045700694ff0a305406a4c9d6b74">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.4.2.4.1.2"><p id="mrs_01_1673__a4d940e072fe14bca816a21764e5a9a4c">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.4.2.4.1.3"><p id="mrs_01_1673__a593aec9220554639a3ae8c1778a97123">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1673__r81a11e5a6ed544c88a4d549e34647315"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_1673__ae27775d476fc4cdfaa48585f46b08460">dfs.pipeline.ecn</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_1673__a2b5044a842394b02b599a5aec54bded6">After configuration, the DataNode can send blocking notifications to the client.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_1673__a6bac9e0be3e54ff8b962654012d8228d">false</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1675.html b/docs/mrs/component-operation-guide/mrs_01_1675.html
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@@ -0,0 +1,38 @@
+<a name="mrs_01_1675"></a><a name="mrs_01_1675"></a>
+
+<h1 class="topictitle1">Configuring Reserved Percentage of Disk Usage on DataNodes</h1>
+<div id="body1595904095021"><div class="section" id="mrs_01_1675__sb0e252c3839640208ac6dbede3179749"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1675__abad97e34a4314bdcb49496ae65909d2b">When the Yarn local directory and DataNode directory are on the same disk, the disk with larger capacity can run more tasks. Therefore, more intermediate data is stored in the Yarn local directory.</p>
+<p id="mrs_01_1675__adb5346b00f2e4d4d88c2b15cd5ae00b3">Currently, you can set <span class="parmname" id="mrs_01_1675__p8e9513b5eeaf404882c7937ae6ba94ef"><b>dfs.datanode.du.reserved</b></span> to configure the absolute value of the reserved disk space on DataNodes. A small value cannot meet the requirements of a disk with large capacity. However, configuring a large value for a disk with same capacity wastes a lot of disk space.</p>
+<p id="mrs_01_1675__af99c926f083648a1a5e1f5ddf747b5a6">To avoid this problem, a new parameter <span class="parmname" id="mrs_01_1675__pa9fe6fdfd204476cae640cad8939743a"><b>dfs.datanode.du.reserved.percentage</b></span> is introduced to configure the reserved percentage of the disk space.</p>
+<div class="note" id="mrs_01_1675__n1370fcb9728545c7bba562f9a8a90aed"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1675__u43f3a679eabb42d09b84df845f441b56"><li id="mrs_01_1675__le92fa4ce60904cb88b9015234812ea41">If <span class="parmname" id="mrs_01_1675__pfb4fe3fa9ffe4206871448d61926b961"><b>dfs.datanode.du.reserved.percentage</b></span> and <span class="parmname" id="mrs_01_1675__p9b2cd7bcfe3a4a108e3965e43fc8f3f4"><b>dfs.datanode.du.reserved</b></span> are configured at the same time, the larger value of the reserved disk space calculated using the two parameters is used as the reserved space of the data nodes.</li><li id="mrs_01_1675__l5a1a85bb104447feac8bb6a5bf359a79">You are advised to set <span class="parmname" id="mrs_01_1675__pcf5efb880dec48e99ab7fdc619ca3667"><b>dfs.datanode.du.reserved</b></span> or <span class="parmname" id="mrs_01_1675__p7e703d28c24e41839edb9eaf2a6c9a0b"><b>dfs.datanode.du.reserved.percentage</b></span> based on the actual disk space.</li></ul>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1675__s3625eef70e3f4994a3fd7500805c9d64"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_1675__p39519895015">Go to the <strong id="mrs_01_1675__b374415166263">All Configurations</strong> page of HDFS and enter a parameter name in the search box by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1675__t2133f452b3054aabb604e34db82954ab" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1675__r8d12e90142f441fab2873e4fb293ae24"><th align="left" class="cellrowborder" valign="top" width="33.23%" id="mcps1.3.2.3.2.4.1.1"><p id="mrs_01_1675__en-us_topic_0039590212_p310726115357"><strong id="mrs_01_1675__a531be98653e84f99829a48198dfac598">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="49.94%" id="mcps1.3.2.3.2.4.1.2"><p id="mrs_01_1675__a1dadb94f3d0a4600a5b5db38896f31fe"><strong id="mrs_01_1675__ad48d211a8daf48be8c279fee403e5514">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="16.830000000000002%" id="mcps1.3.2.3.2.4.1.3"><p id="mrs_01_1675__ab9155cddda684bb9b5d9ac98503c34b3"><strong id="mrs_01_1675__af5bce31f83c5417cb278eb2637dc1d23">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1675__r92eccb62350c4b6ab3d6cf6d68160e40"><td class="cellrowborder" valign="top" width="33.23%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1675__a92cd9e06fe734e40bd1ef60e97c1dd38">dfs.datanode.du.reserved.percentage</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.94%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1675__a9fa16d295c924ea98db550f1fdc8ca22">Indicates the percentage of the reserved disk space on DataNodes. The DataNode permanently reserves the disk space calculated using this percentage.</p>
+<p id="mrs_01_1675__aa713109fe17c42a0946cde2a9eef009d">The value is an integer ranging from 0 to 100.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.830000000000002%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1675__en-us_topic_0039590212_p434079081387">10</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1676.html b/docs/mrs/component-operation-guide/mrs_01_1676.html
new file mode 100644
index 000000000..b640fcab9
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+<a name="mrs_01_1676"></a><a name="mrs_01_1676"></a>
+
+<h1 class="topictitle1">Configuring HDFS NodeLabel</h1>
+<div id="body1595904095702"><div class="section" id="mrs_01_1676__s9a54debc4c2942c19903752c157ec5d0"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1676__a221e73e8e04142638864d7b725f7e7a8">You need to configure the nodes for storing HDFS file data blocks based on data features. You can configure a label expression to an HDFS directory or file and assign one or more labels to a DataNode so that file data blocks can be stored on specified DataNodes.</p>
+<p id="mrs_01_1676__a1b7157abc7b24ba08e60fedc5c330d00">If the label-based data block placement policy is used for selecting DataNodes to store the specified files, the DataNode range is specified based on the label expression. Then proper nodes are selected from the specified range.</p>
+<div class="note" id="mrs_01_1676__note10291110184210"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1676__p0919719172411">This section applies to MRS 3.<em id="mrs_01_1676__i157479726252323">x</em> or later.</p>
+<p id="mrs_01_1676__p292021911240">After cross-AZ HA is enabled for a single cluster, the HDFS NodeLabel function cannot be configured.</p>
+</div></div>
+<ul id="mrs_01_1676__ud147556408ff49adb7392b695f0fbf2b"><li id="mrs_01_1676__lb9f33c2680534802af21469ec7838aeb">Scenario 1: DataNodes partitioning scenario<p id="mrs_01_1676__a8fbef87c3c8540aab9c9486881edff39"><a name="mrs_01_1676__lb9f33c2680534802af21469ec7838aeb"></a><a name="lb9f33c2680534802af21469ec7838aeb"></a>Scenario description:</p>
+<p id="mrs_01_1676__a59aace3f3f8b4a0fb929c23b403549af">When different application data is required to run on different nodes for separate management, label expressions can be used to achieve separation of different services, storing specified services on corresponding nodes.</p>
+<p id="mrs_01_1676__a36ba7992fe574cd48ebffcdefa77a389">By configuring the NodeLabel feature, you can perform the following operations:</p>
+<ul id="mrs_01_1676__u6c5e796a000a4a89932288ccbf7874d7"><li id="mrs_01_1676__l3c65294d6e924614a9e119744d5df72f">Store data in <strong id="mrs_01_1676__b135415235752323">/HBase</strong> to DN1, DN2, DN3, and DN4.</li><li id="mrs_01_1676__l58c6831ceb504a0db925f460783d0711">Store data in <strong id="mrs_01_1676__b85565772652323">/Spark</strong> to DN5, DN6, DN7, and DN8.</li></ul>
+<div class="fignone" id="mrs_01_1676__f29094c7c7de94c108e1f8ddea541eab7"><a name="mrs_01_1676__f29094c7c7de94c108e1f8ddea541eab7"></a><a name="f29094c7c7de94c108e1f8ddea541eab7"></a><span class="figcap"><b>Figure 1 </b>DataNode partitioning scenario</span><br><span><img id="mrs_01_1676__image146210219261" src="en-us_image_0000001295930800.png"></span></div>
+<div class="note" id="mrs_01_1676__ndee557d4238e4c30844a80bea021cc10"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1676__u3da7ea774e0645999e33220d44ec9130"><li id="mrs_01_1676__l340086f9abbd48078303ea4d758089ff">Run the <b><span class="cmdname" id="mrs_01_1676__cmdname15772194120151">hdfs nodelabel -setLabelExpression -expression 'LabelA[fallback=NONE]' -path /Hbase</span></b> command to set an expression for the <strong id="mrs_01_1676__b4654638164914">Hbase</strong> directory. As shown in <a href="#mrs_01_1676__f29094c7c7de94c108e1f8ddea541eab7">Figure 1</a>, the data block replicas of files in the <span class="filepath" id="mrs_01_1676__fb5b0eb2f78b145d6947ac97a9d14ca7a"><b>/Hbase</b></span> directory are placed on the nodes labeled with the <strong id="mrs_01_1676__b116249375952323">LabelA</strong>, that is, DN1, DN2, DN3, and DN4. Similarly, run the <b><span class="cmdname" id="mrs_01_1676__cmdname12573182481611">hdfs nodelabel -setLabelExpression -expression 'LabelB[fallback=NONE]' -path /Spark</span></b> command to set an expression for the Spark directory. Data block replicas of files in the <span class="filepath" id="mrs_01_1676__f90528509fc544633b368b14583607996"><b>/Spark</b></span> directory can be placed only on nodes labeled with <strong id="mrs_01_1676__b102025484852323">LabelB</strong>, that is, DN5, DN6, DN7, and DN8.</li><li id="mrs_01_1676__le9f01a0a87024315b95ecaf95e59b12c">For details about how to set labels for a data node, see <a href="#mrs_01_1676__s7752fba8102e4f20ae2c86f564e2114c">Configuration Description</a>.</li><li id="mrs_01_1676__l0c7740c1a43845bbb55d1df30fa91718">If multiple racks are available in one cluster, it is recommended that DataNodes of these racks should be available under each label, to ensure reliability of data block placement.</li></ul>
+</div></div>
+</li></ul>
+<ul id="mrs_01_1676__ue37fc79670bf4e4a8b6771c36b737d41"><li id="mrs_01_1676__lac5b1000cbb04748bc0612789ffedbf5">Scenario 2: Specifying replica location when there are multiple racks<p id="mrs_01_1676__ac35740942c0645c5a41cb6472c4e4bee"><a name="mrs_01_1676__lac5b1000cbb04748bc0612789ffedbf5"></a><a name="lac5b1000cbb04748bc0612789ffedbf5"></a>Scenario description:</p>
+<p id="mrs_01_1676__af346b4cf5aa94e9b8cbe531c80b16ae2">In a heterogeneous cluster, customers need to allocate certain nodes with high availability to store important commercial data. Label expressions can be used to specify replica location so that the replica can be placed on a high reliable node.</p>
+<p id="mrs_01_1676__a8ca864bd05b74706994c64eb267698a7">Data blocks in the <span class="filepath" id="mrs_01_1676__fdb510c646cbc4c75bf15cc66cb4be16a"><b>/data</b></span> directory have three replicas by default. In this case, at least one replica is stored on a node of RACK1 or RACK2 (nodes of RACK1 and RACK2 are high reliable), and the other two are stored separately on the nodes of RACK3 and RACK4.</p>
+<div class="fignone" id="mrs_01_1676__fc11a32eb02734547a8059541295c9ee2"><span class="figcap"><b>Figure 2 </b>Scenario example</span><br><span><img id="mrs_01_1676__image6881139162619" src="en-us_image_0000001349170365.png"></span></div>
+<div class="note" id="mrs_01_1676__nb48a7c782b184067bf8c11ef72fb4fb8"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1676__a46bea0b762f141379b76c568d77429e1">Run the <b><span class="cmdname" id="mrs_01_1676__cmdname1121812301209">hdfs nodelabel -setLabelExpression -expression 'LabelA||LabelB[fallback=NONE],LabelC,LabelD' -path /data</span></b> command to set an expression for the <span class="filepath" id="mrs_01_1676__fd0093a12c6744f03873924c934030761"><b>/data</b></span> directory.</p>
+<p id="mrs_01_1676__ac665cc8654d5492eab419a303c544f05">When data is to be written to the <span class="filepath" id="mrs_01_1676__f0bdfae0bf69341d1afd20a5572c14c48"><b>/data</b></span> directory, at least one data block replica is stored on a node labeled with the LabelA or LabelB, and the other two data block replicas are stored separately on the nodes labeled with the LabelC and LabelD.</p>
+</div></div>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1676__s7752fba8102e4f20ae2c86f564e2114c"><a name="mrs_01_1676__s7752fba8102e4f20ae2c86f564e2114c"></a><a name="s7752fba8102e4f20ae2c86f564e2114c"></a><h4 class="sectiontitle">Configuration Description</h4><ul id="mrs_01_1676__udd722331ec2b476ab687fce909d8c325"><li id="mrs_01_1676__l44b2818f83314628835f41265293cdf2">DataNode label configuration<p id="mrs_01_1676__p39519895015"><a name="mrs_01_1676__l44b2818f83314628835f41265293cdf2"></a><a name="l44b2818f83314628835f41265293cdf2"></a>Go to the <strong id="mrs_01_1676__b1114363020264">All Configurations</strong> page of HDFS and enter a parameter name in the search box by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1676__t188e805e50714a76920d721b9c98b37e" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1676__r87fac8bc957b41bbb77b231f36cf4db4"><th align="left" class="cellrowborder" valign="top" width="16.85%" id="mcps1.3.2.2.1.2.2.4.1.1"><p id="mrs_01_1676__a89675551370f432a82bc75ec25863977"><strong id="mrs_01_1676__a4306cddd469949669023d7de696a4a3f">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="64.97%" id="mcps1.3.2.2.1.2.2.4.1.2"><p id="mrs_01_1676__aa03cc02dd6f24d92ab9472af749f557f"><strong id="mrs_01_1676__aa47bc2e6838b48d4abe6f910b0a3d178">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="18.18%" id="mcps1.3.2.2.1.2.2.4.1.3"><p id="mrs_01_1676__ac20655d9916a4c3cb806455d653918a6"><strong id="mrs_01_1676__a3b67a00310ce46f4842c6f650e75eb4d">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1676__row49502581444"><td class="cellrowborder" valign="top" width="16.85%" headers="mcps1.3.2.2.1.2.2.4.1.1 "><p id="mrs_01_1676__p19511658048">dfs.block.replicator.classname</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.97%" headers="mcps1.3.2.2.1.2.2.4.1.2 "><p id="mrs_01_1676__p195265816414">Used to configure the DataNode policy of HDFS.</p>
+<p id="mrs_01_1676__p8398145419616">To enable the NodeLabel function, set this parameter to <strong id="mrs_01_1676__b182685562352323">org.apache.hadoop.hdfs.server.blockmanagement.BlockPlacementPolicyWithNodeLabel</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.18%" headers="mcps1.3.2.2.1.2.2.4.1.3 "><p id="mrs_01_1676__p29526583410">org.apache.hadoop.hdfs.server.blockmanagement.AvailableSpaceBlockPlacementPolicy</p>
+</td>
+</tr>
+<tr id="mrs_01_1676__r26172c4ef099430ea526ad701bfb4a0c"><td class="cellrowborder" valign="top" width="16.85%" headers="mcps1.3.2.2.1.2.2.4.1.1 "><p id="mrs_01_1676__a1e214c7537104192b25c8b54e3027097">host2tags</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.97%" headers="mcps1.3.2.2.1.2.2.4.1.2 "><p id="mrs_01_1676__ad9eb998e35ff42dfb8811ed804e94391">Used to configure a mapping between a DataNode host and a label.</p>
+<p id="mrs_01_1676__a935a932bd6fe4fee92900d184aeecab7">The host name can be configured with an IP address extension expression (for example, <strong id="mrs_01_1676__b48204243352323">192.168.1.[1-128]</strong> or <strong id="mrs_01_1676__b171086826452323">192.168.[2-3].[1-128]</strong>) or a regular expression (for example, <strong id="mrs_01_1676__b194179894352323">/datanode-[123]/</strong> or <strong id="mrs_01_1676__b16108496952323">/datanode-\d{2}/</strong>) starting and ending with a slash (/). The label configuration name cannot contain the following characters: = / \ <strong id="mrs_01_1676__b159162526252323">Note</strong>: The IP address must be a service IP address.</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.18%" headers="mcps1.3.2.2.1.2.2.4.1.3 "><p id="mrs_01_1676__af09f10aa91f14eceba7d0acf867e9589">-</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_1676__n14c06283e4414ce38cb08727ef58f945"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1676__u6b8170389f1d4712b2c2b3da8f5825b7"><li id="mrs_01_1676__la55f779cceb3481382a4174b38a64e6c">The <strong id="mrs_01_1676__b962613272512">host2tags</strong> configuration item is described as follows:<p id="mrs_01_1676__ac7946fd81f8b4044a41810cd75ccdd41">Assume there are 20 DataNodes which range from dn-1 to dn-20 in a cluster and the IP addresses of clusters range from 10.1.120.1 to 10.1.120.20. The value of <strong id="mrs_01_1676__b67112861252323">host2tags</strong> can be represented in either of the following methods:</p>
+<p id="mrs_01_1676__afe108892b9314c1996be025265eebcb8"><strong id="mrs_01_1676__aa07c47a5ae524471878977c0a1268b08">Regular expression of the host name</strong></p>
+<p id="mrs_01_1676__a57987788de274f85807722b96840513a"><span class="parmname" id="mrs_01_1676__pb397f6f3febf4405a8a7287a778b4d28"><b>/dn-\d/ = label-1</b></span> indicates that the labels corresponding to dn-1 to dn-9 are <span id="mrs_01_1676__p940194862b304fea92ed64816b401274">label</span>-1, that is, dn-1 = <span id="mrs_01_1676__p56303ef95f4b45528a37c98683e44d5f">label</span>-1, dn-2 = <span id="mrs_01_1676__pd01977d5b6b24beb8d81aaf7d85b5a62">label</span>-1, ..., dn-9 = <span id="mrs_01_1676__p67c20273bc7f4b22991ae1b4c4cc5193">label</span>-1.</p>
+<p id="mrs_01_1676__a8e32a2064a8e4da7a6417e3db73cf4c7"><span class="parmname" id="mrs_01_1676__p247b8f218ed042ddafc06f8075cc2e7b"><b>/dn-((1[0-9]$)|(20$))/ = label-2</b></span> indicates that the labels corresponding to dn-10 to dn-20 are<span id="mrs_01_1676__p5e08b63661e645d2b5b55e575edd130f"> label</span>-2, that is, dn-10 = <span id="mrs_01_1676__p0931e2420efc4bf4ae21781c1f6b5a92">label</span>-2, dn-11 = <span id="mrs_01_1676__p0b3477cd6480495f869cc0a3368484ce">label</span>-2, ...dn-20 = <span id="mrs_01_1676__p856f62cea9924690b1e3c4b88cc447cb">label</span>-2.</p>
+<p id="mrs_01_1676__a2b204f2b956445b9b28a69c901443a28"><strong id="mrs_01_1676__a48850c6d4d7449e8adba516932ef8d53">IP address range expression</strong></p>
+<p id="mrs_01_1676__a08022ddc56ca4be6b1eded64a20c2029"><span class="parmname" id="mrs_01_1676__p9f9e1ba55cf44e9dbaaf0195e07d87de"><b>10.1.120.[1-9] = label-1</b></span> indicates that the labels corresponding to 10.1.120.1 to 10.1.120.9 are <span id="mrs_01_1676__p1a059258962c42be83aea7e6b53af1a0">label</span>-1, that is, 10.1.120.1 = <span id="mrs_01_1676__pca8ff23026e7403e8cffe131582b664a">label</span>-1, 10.1.120.2 = <span id="mrs_01_1676__pa1617daa0a204be3a53fdaa05d44a10b">label</span>-1, ..., and 10.1.120.9 = <span id="mrs_01_1676__pc05cee4b839e49be97ed8f4f145dbda6">label</span>-1.</p>
+<p id="mrs_01_1676__afb7e30420ab447078add98204f7b2f2a"><span class="parmname" id="mrs_01_1676__p7e91d71252d7467f97b68fc247f7cdf5"><b>10.1.120.[10-20] = label-2</b></span> indicates that the labels corresponding to 10.1.120.10 to 10.1.120.20 are <span id="mrs_01_1676__p22475e722c88498980da2d24974eb6fe">label</span>-2, that is, 10.1.120.10 = <span id="mrs_01_1676__p11f160bf0f6146d18584c32ff7ce8ba9">label</span>-2, 10.1.120.11 = <span id="mrs_01_1676__pe57d1d9cc31140568b319ad2cdcf90fe">label</span>-2, ..., and 10.1.120.20 = <span id="mrs_01_1676__pa96c760e9bd4424e91a176c1eb6e5556">label</span>-2.</p>
+</li></ul>
+<ul id="mrs_01_1676__u7327151c48fb4622a64ae12732e30944"><li id="mrs_01_1676__l5537cb2c4f8840b3b2bf3956ddddc321">Label-based data block placement policies are applicable to capacity expansion and reduction scenarios.<p id="mrs_01_1676__abf085c27cf7f46c3adaffc4c767fafbc"><a name="mrs_01_1676__l5537cb2c4f8840b3b2bf3956ddddc321"></a><a name="l5537cb2c4f8840b3b2bf3956ddddc321"></a>A newly added DataNode will be assigned a label if the IP address of the DataNode is within the IP address range in the <strong id="mrs_01_1676__b210573413652323">host2tags</strong> configuration item or the host name of the DataNode matches the host name regular expression in the <strong id="mrs_01_1676__b202115144852323">host2tags</strong> configuration item.</p>
+<p id="mrs_01_1676__a1190927120f94fc497d804feed27b41e">For example, the value of <span class="parmname" id="mrs_01_1676__p12d9241bfa7d473b8263dbfd7da50a74"><b>host2tags</b></span> is <strong id="mrs_01_1676__b16781647142919">10.1.120.[1-9] = label-1</strong>, but the current cluster has only three DataNodes: 10.1.120.1 to 10.1.120.3. If DataNode 10.1.120.4 is added for capacity expansion, the DataNode is labeled as label-1. If the 10.1.120.3 DataNode is deleted or out of the service, no data block will be allocated to the node.</p>
+</li></ul>
+</div></div>
+</li></ul>
+<ul id="mrs_01_1676__u56248a3d9da14678b9276b966876f231"><li id="mrs_01_1676__lb2b2395b405a444aadb70a4d645d21b6">Set label expressions for directories or files.<ul id="mrs_01_1676__u7310eef4e3b0496db941e02a5344bdfe"><li id="mrs_01_1676__led739ed6b7724c8984dea746e44f00c6">On the HDFS parameter configuration page, configure <span class="parmname" id="mrs_01_1676__pf2a315fec58b4c6eb33f31e8e1e506ad"><b>path2expression</b></span> to configure the mapping between HDFS directories and labels. If the configured HDFS directory does not exist, the configuration can succeed. When a directory with the same name as the HDFS directory is created manually, the configured label mapping relationship will be inherited by the directory within 30 minutes. After a labeled directory is deleted, a new directory with the same name as the deleted one will inherit its mapping within 30 minutes.</li><li id="mrs_01_1676__l6cefcc3923d14e4d8c5814693358e864">For details about configuring items using commands, see the <strong id="mrs_01_1676__a8f3ccbe838104e9ab89562a6be9ebbd7"><strong id="mrs_01_1676__b12427191611192">hdfs nodelabel</strong> -setLabelExpression</strong> command.</li><li id="mrs_01_1676__l4739887a6d604fb9b25c4964f9db9ec1">To set label expressions using the Java API, invoke the <strong id="mrs_01_1676__b86089920120">setLabelExpression(String src, String labelExpression)</strong> method using the instantiated object NodeLabelFileSystem. <i><span class="varname" id="mrs_01_1676__vfcc9cadc13c74633bdd31b671a956064">src</span></i> indicates a directory or file path on HDFS, and <span class="parmname" id="mrs_01_1676__p977fa35379d243ea86ce9814b3d1363b"><b>labelExpression</b></span> indicates the label expression.</li></ul>
+</li></ul>
+<ul id="mrs_01_1676__ue1e6c227ece342ce90f61dff3c94a009"><li id="mrs_01_1676__l8e36ed63c12c4c50b16a50bb7b34507e">After the NodeLabel is enabled, you can run the <strong id="mrs_01_1676__b1620411217109">hdfs nodelabel -listNodeLabels</strong> command to view the label information of each DataNode.</li></ul>
+</div>
+<div class="section" id="mrs_01_1676__sfb2d69c75cde4c6eb6e2c3a0fb8e403a"><h4 class="sectiontitle">Block Replica Location Selection</h4><p id="mrs_01_1676__a59296d7d2d1d44f1bf9f611fc7d4165b">Nodelabel supports different placement policies for replicas. The expression <span class="parmname" id="mrs_01_1676__p6247f38acef54cb1821aa849127432e4"><b>label-1,label-2,label-3</b></span> indicates that three replicas are respectively placed in DataNodes containing label-1, label-2, and label-3. Different replica policies are separated by commas (,).</p>
+<p id="mrs_01_1676__ae72403f8dc91497f89d15cf44d0a4cd2">If you want to place two replicas in DataNode with label-1, set the expression as follows: <span class="parmname" id="mrs_01_1676__pab88a65fc5a14134af462e180a4a90b2"><b>label-1[replica=2],label-2,label-3</b></span>. In this case, if the default number of replicas is 3, two nodes with label-1 and one node with label-2 are selected. If the default number of replicas is 4, two nodes with label-1, one node with label-2, and one node with label-3 are selected. Note that the number of replicas is the same as that of each replica policy from left to right. However, the number of replicas sometimes exceeds the expressions. If the default number of replicas is 5, the extra replica is placed on the last node, that is, the node labeled with label-3.</p>
+<p id="mrs_01_1676__aecf4aac64e5b4f248342842bab7d8892">When the ACLs function is enabled and the user does not have the permission to access the labels used in the expression, the DataNode with the label is not selected for the replica.</p>
+</div>
+<div class="section" id="mrs_01_1676__se2ecff28a93849ee85d52faf0582caec"><h4 class="sectiontitle">Deletion of Redundant Block Replicas</h4><p id="mrs_01_1676__a2f3a8f23ed904a1fbd63929aef016868">If the number of block replicas exceeds the value of <span class="parmname" id="mrs_01_1676__pcf9ad68ad28a461faca3d0f3760397b4"><b>dfs.replication</b></span> (number of file replicas specified by the user), HDFS will delete redundant block replicas to ensure cluster resource usage.</p>
+<p id="mrs_01_1676__a2de4f093594e41aa91d317435c0ab04c">The deletion rules are as follows:</p>
+<ul id="mrs_01_1676__u339bbe7571144f098d180a25a09bd36f"><li id="mrs_01_1676__lab9ab034269849ba964ec190dc95b206">Preferentially delete replicas that do not meet any expression.<p id="mrs_01_1676__ad62e046136724c18aa3d61875327ade3"><a name="mrs_01_1676__lab9ab034269849ba964ec190dc95b206"></a><a name="lab9ab034269849ba964ec190dc95b206"></a>For example: The default number of file replicas is <strong id="mrs_01_1676__b95105355952323">3</strong>.</p>
+<p id="mrs_01_1676__a59f66e8d467a4de09febcbe4a139803f">The label expression of <strong id="mrs_01_1676__b182944214452323">/test</strong> is <strong id="mrs_01_1676__b40060138252323">LA[replica=1],LB[replica=1],LC[replica=1]</strong>.</p>
+<p id="mrs_01_1676__aa96e605b1e4a430dbf9ca4f5ef457dd3">The file replicas of <strong id="mrs_01_1676__b138443594852323">/test</strong> are distributed on four nodes (D1 to D4), corresponding to labels (LA to LD).</p>
+<pre class="screen" id="mrs_01_1676__sf2ba778759d14bd59c44a162f0ebe7aa">D1:LA
+D2:LB
+D3:LC
+D4:LD</pre>
+<p id="mrs_01_1676__a49c17a4dd07942d187402160e6fb5056">Then, block replicas on node D4 will be deleted.</p>
+</li><li id="mrs_01_1676__le9ba42bda00141f2b55403cdddcfb0a9">If all replicas meet the expressions, delete the redundant replicas which are beyond the number specified by the expression.<p id="mrs_01_1676__a61dbbb137a3545e086674c26e7e9b079"><a name="mrs_01_1676__le9ba42bda00141f2b55403cdddcfb0a9"></a><a name="le9ba42bda00141f2b55403cdddcfb0a9"></a>For example: The default number of file replicas is <strong id="mrs_01_1676__b42525814652323">3</strong>.</p>
+<p id="mrs_01_1676__afad69e43a82f4c9294c1de2a6acf3e45">The label expression of <strong id="mrs_01_1676__b82110174052323">/test</strong> is <strong id="mrs_01_1676__b206089614552323">LA[replica=1],LB[replica=1],LC[replica=1]</strong>.</p>
+<p id="mrs_01_1676__aa6172ff0d81543afa9ed7165c32c5964">The file replicas of <strong id="mrs_01_1676__b117931411552323">/test</strong> are distributed on the following four nodes, corresponding to the following labels.</p>
+<pre class="screen" id="mrs_01_1676__s78a10c9903a74cc582c7009b69b696e4">D1:LA
+D2:LA
+D3:LB
+D4:LC</pre>
+<p id="mrs_01_1676__a0f7b725c34be4484b454869d16f85686">Then, block replicas on node D1 or D2 will be deleted.</p>
+</li><li id="mrs_01_1676__l14ed41069b8c4667a2635ba084aa01fe">If a file owner or group of a file owner cannot access a label, preferentially delete the replica from the DataNode mapped to the label.</li></ul>
+</div>
+<div class="section" id="mrs_01_1676__sd2fc43fb8e164318b29fab773548fcbf"><h4 class="sectiontitle">Example of label-based block placement policy</h4><p id="mrs_01_1676__a2157b03c58c64d50b355341c8956d5a8">Assume that there are six DataNodes, namely, dn-1, dn-2, dn-3, dn-4, dn-5, and dn-6 in a cluster and the corresponding IP address range is 10.1.120.[1-6]. Six directories must be configured with label expressions. The default number of block replicas is <strong id="mrs_01_1676__b120490373852323">3</strong>.</p>
+<ul id="mrs_01_1676__ubfcf019abd994ab39d8580d251bc4529"><li id="mrs_01_1676__ld63dab23ee5f47528894630b1af3006e">The following provides three expressions of the DataNode label in <span class="filepath" id="mrs_01_1676__f395de590c6394f049e9ae3209cabd656"><b>host2labels</b></span> file. The three expressions have the same function.<ul id="mrs_01_1676__u917789efd34f43cabd52394abc3efc31"><li id="mrs_01_1676__l322ae81a439c4094995a4aad30c76114">Regular expression of the host name<pre class="screen" id="mrs_01_1676__s35a05dc8f2804ad3b24a203e2e57d872">/dn-[1456]/ = label-1,label-2
+/dn-[26]/ = label-1,label-3
+/dn-[3456]/ = label-1,label-4
+/dn-5/ = label-5</pre>
+</li><li id="mrs_01_1676__l6fb91104bedc4b32bdd5655db82f9602">IP address range expression<pre class="screen" id="mrs_01_1676__sf477760e5d044da7bb87db16a627a4c2">10.1.120.[1-6] = label-1
+10.1.120.1 = label-2
+10.1.120.2 = label-3
+10.1.120.[3-6] = label-4
+10.1.120.[4-6] = label-2
+10.1.120.5 = label-5
+10.1.120.6 = label-3</pre>
+</li><li id="mrs_01_1676__lc2dfb456472f4651b2725aec72184c48">Common host name expression<pre class="screen" id="mrs_01_1676__sa7108c8e9fa6451eabc590cbaacd8073">/dn-1/ = label-1, label-2
+/dn-2/ = label-1, label-3
+/dn-3/ = label-1, label-4
+/dn-4/ = label-1, label-2, label-4
+/dn-5/ = label-1, label-2, label-4, label-5
+/dn-6/ = label-1, label-2, label-3, label-4</pre>
+</li></ul>
+</li></ul>
+<ul id="mrs_01_1676__uee027530b85848fdbe5f2ab7cf5c857f"><li id="mrs_01_1676__lc775441bc7314e7dbfa5c3af0f094952">The label expressions of the directories are set as follows:<pre class="screen" id="mrs_01_1676__s9cd8247cb0e94c35ac5bebd5cabe436f">/dir1 = label-1
+/dir2 = label-1 &amp;&amp; label-3
+/dir3 = label-2 || label-4[replica=2]
+/dir4 = (label-2 || label-3) &amp;&amp; label-4
+/dir5 = !label-1
+/sdir2.txt = label-1 &amp;&amp; label-3[replica=3,fallback=NONE]
+/dir6 = label-4[replica=2],label-2</pre>
+<div class="note" id="mrs_01_1676__ncf77820b177d4de5aabd63625f30b24d"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1676__p1692516413263">For details about the label expression configuration, see the <strong id="mrs_01_1676__aea4b2952e3f542cab5b101ebecbf6ee7">hdfs nodelabel -setLabelExpression</strong> command.</p>
+</div></div>
+<p id="mrs_01_1676__aa2f19c535d9a4202b6886d1b3a3cc87d">The file data block storage locations are as follows:</p>
+<ul id="mrs_01_1676__u9d1ac4c8d799424ea7e0c8cadff0b380"><li id="mrs_01_1676__la73edc440c534bd491efaf6a46222ab0">Data blocks of files in the <span class="filepath" id="mrs_01_1676__f74d725bc67aa4f08a423e857e9caed85"><b>/dir1</b></span> directory can be stored on any of the following nodes: dn-1, dn-2, dn-3, dn-4, dn-5, and dn-6.</li><li id="mrs_01_1676__la2dbac41e0ed421ba6231fbbcb554f93">Data blocks of files in the <span class="filepath" id="mrs_01_1676__fd188a9880dc14d3cb4f84e9a21aac3cc"><b>/dir2</b></span> directory can be stored on the dn-2 and dn-6 nodes. The default number of block replicas is <strong id="mrs_01_1676__b72650957852323">3</strong>. The expression matches only two DataNodes. The third replica will be stored on one of the remaining nodes in the cluster.</li><li id="mrs_01_1676__l2e1fe62d6b3047909fb1ec6b51cb8985">Data blocks of files in the <span class="filepath" id="mrs_01_1676__f93669b24bf2842949f6d6182839af887"><b>/dir3</b></span> directory can be stored on any three of the following nodes: dn-1, dn-3, dn-4, dn-5, and dn-6.</li><li id="mrs_01_1676__l07dfb04615164edc9e480022e26b28e7">Data blocks of files in the <span class="filepath" id="mrs_01_1676__f6bcfa9eef7af4beea41f275dbfe9c56c"><b>/dir4</b></span> directory can be stored on the dn-4, dn-5, and dn-6 nodes.</li><li id="mrs_01_1676__l4edf11172329408bae6806ebdecf3caf">Data blocks of files in the <span class="filepath" id="mrs_01_1676__f073206475ed949a0ac430781da72bbdd"><b>/dir5</b></span> directory do not match any DataNode and will be stored on any three nodes in the cluster, which is the same as the default block selection policy.</li><li id="mrs_01_1676__leb21c1a5419949c49a2acf93bd95b206">For the data blocks of the <span class="filepath" id="mrs_01_1676__f7b0da468b64945eead38ae86a93f13e7"><b>/sdir2.txt</b></span> file, two replicas are stored on the dn-2 and dn-6 nodes. The left one is not stored in the node because <strong id="mrs_01_1676__b12715604152323">fallback=NONE</strong> is enabled.</li><li id="mrs_01_1676__l76f7c402535c43aa84fb3cb4c7af7654">Data blocks of the files in the <span class="filepath" id="mrs_01_1676__fd391efe267ff4200827de2c993e1f3da"><b>/dir6</b></span> directory are stored on the two nodes with label-4 selected from dn-3, dn-4, dn-5, and dn-6 and another node with label-2. If the specified number of file replicas in the <span class="filepath" id="mrs_01_1676__f72197cbcf824468da79167eba6e48a84"><b>/dir6</b></span> directory is more than 3, the extra replicas will be stored on a node with label-2.</li></ul>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1676__se981e8a1a8614c5b956dd6b4d1520955"><h4 class="sectiontitle">Restrictions</h4><p id="mrs_01_1676__p153041618172612">In configuration files, <span class="parmname" id="mrs_01_1676__pd8487cb5dfdb40a98cced23d9a8324f2"><b>key</b></span> and <span class="parmname" id="mrs_01_1676__pa1e583e2d40f45ca8c1e43f6a5c28ecf"><b>value</b></span> are separated by equation signs (=), colons (:), and whitespace. Therefore, the host name of the <span class="parmname" id="mrs_01_1676__p543d878bf1414e809dc56ba190572154"><b>key</b></span> cannot contain these characters because these characters may be considered as separators.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1681.html b/docs/mrs/component-operation-guide/mrs_01_1681.html
new file mode 100644
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+++ b/docs/mrs/component-operation-guide/mrs_01_1681.html
@@ -0,0 +1,24 @@
+<a name="mrs_01_1681"></a><a name="mrs_01_1681"></a>
+
+<h1 class="topictitle1">Configuring the Observer NameNode to Process Read Requests</h1>
+<div id="body1595904096782"><div class="section" id="mrs_01_1681__se9608011680e423ca403d5207c374daa"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1681__p17401421813">In an HDFS cluster configured with HA, the active NameNode processes all client requests, and the standby NameNode reserves the latest metadata and block location information. However, in this architecture, the active NameNode is the bottleneck of client request processing. This bottleneck is more obvious in clusters with a large number of requests.</p>
+<p id="mrs_01_1681__p4733591402">To address this issue, a new NameNode is introduced: an observer NameNode. Similar to the standby NameNode, the observer NameNode also reserves the latest metadata information and block location information. In addition, the observer NameNode can process read requests from clients in the same way as the active NameNode. In typical HDFS clusters with many read requests, the observer NameNode can be used to process read requests, reducing the active NameNode load and improving the cluster capability of processing requests.</p>
+<div class="note" id="mrs_01_1681__note17408121619136"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1681__p788202018132">This section applies to MRS 3.<em id="mrs_01_1681__i5543022405157">x</em> or later.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1681__s96b8a9dc800a44b7b35e3a2d8fafa0e1"><h4 class="sectiontitle">Impact on the System</h4><ul id="mrs_01_1681__ul10686111983619"><li id="mrs_01_1681__li126872191367">The active NameNode load can be reduced and the capability of HDFS cluster processing requests can be improved, which is especially obvious for large clusters.</li><li id="mrs_01_1681__li278002117364">The client application configuration needs to be updated.</li></ul>
+</div>
+<div class="section" id="mrs_01_1681__sa8a135a114cf4cbc8674242bd0cfebd7"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1681__ul6387132716574"><li id="mrs_01_1681__la8a352e20c414015a0e60f8023ecc0a5">The HDFS cluster has been installed, the active and standby NameNodes are running properly, and the HDFS service is normal.</li><li id="mrs_01_1681__li196291144105015">The <strong id="mrs_01_1681__b6780622085157">${BIGDATA_DATA_HOME}/namenode</strong> partition has been created on the node where the observer NameNode is to be installed.</li></ul>
+</div>
+<div class="section" id="mrs_01_1681__section11217152712020"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1681__p116078478421">The following steps describe how to configure the observer NameNode of a hacluster and enable it to process read requests. If there are multiple pairs of NameServices in the cluster and they are all in use, perform the following steps to configure the observer NameNode for each pair.</p>
+<ol id="mrs_01_1681__ol14972170134210"><li id="mrs_01_1681__li20972170164215"><span>Log in to FusionInsight Manager.</span></li><li id="mrs_01_1681__li125071111539"><span>Choose <span id="mrs_01_1681__text1751171119531"><strong id="mrs_01_1681__b1328853205157">Cluster</strong> &gt; </span><em id="mrs_01_1681__i6137876195157">Name of the desired cluster</em> &gt; <strong id="mrs_01_1681__b3794114635157">Services</strong> &gt; <strong id="mrs_01_1681__b6767286455157">HDFS</strong> &gt; <strong id="mrs_01_1681__b19250096445157">NameService Management</strong>.</span></li><li id="mrs_01_1681__li5929133819477"><span>Click <strong id="mrs_01_1681__b19039094795157">Add</strong> next to <strong id="mrs_01_1681__b3137404115157">hacluster</strong>.</span></li><li id="mrs_01_1681__li169891275112"><span>On the <strong id="mrs_01_1681__b9696140645157">Add NameNode</strong> page, set <strong id="mrs_01_1681__b7075855745157">NameNode type</strong> to <strong id="mrs_01_1681__b13543377485157">Observer</strong> and click <strong id="mrs_01_1681__b1573278665157">Next</strong>.</span></li><li id="mrs_01_1681__li141141329549"><span>On the <strong id="mrs_01_1681__b12341237835157">Assign Role</strong> page, select the planned host, add the observer NameNode, and click <strong id="mrs_01_1681__b19057901705157">Next</strong>.</span><p><div class="note" id="mrs_01_1681__note1662797113818"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1681__p10628177193811">A maximum of five observer NameNodes can be added to each pair of NameServices.</p>
+</div></div>
+</p></li><li id="mrs_01_1681__li6102155713"><span>On the configuration page, configure the storage directory and port number of the NameNode as planned and click <strong id="mrs_01_1681__b3821924745157">Next</strong>.</span></li><li id="mrs_01_1681__li107303481708"><span>Confirm the information, click <strong id="mrs_01_1681__b8316340455157">Submit</strong>, and wait until the installation of the observer NameNode is complete.</span></li></ol><ol start="8" id="mrs_01_1681__ol6775137111713"><li id="mrs_01_1681__li2775337161719"><span>Restart the upper-layer components that depend on HDFS, update the client application configuration, and restart the client application.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1684.html b/docs/mrs/component-operation-guide/mrs_01_1684.html
new file mode 100644
index 000000000..1410733e0
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1684.html
@@ -0,0 +1,86 @@
+<a name="mrs_01_1684"></a><a name="mrs_01_1684"></a>
+
+<h1 class="topictitle1">Performing Concurrent Operations on HDFS Files</h1>
+<div id="body1595904096999"><div class="section" id="mrs_01_1684__se9608011680e423ca403d5207c374daa"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1684__a38fb70b283514ab78798b4fe0c90e0b6">Performing this operation can concurrently modify file and directory permissions and access control tools in a cluster.</p>
+<div class="note" id="mrs_01_1684__note17408121619136"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1684__p788202018132">This section applies to MRS 3.<em id="mrs_01_1684__i1581922711583">x</em> or later clusters.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1684__s96b8a9dc800a44b7b35e3a2d8fafa0e1"><h4 class="sectiontitle">Impact on the System</h4><p id="mrs_01_1684__p1365278267">Performing concurrent file modification operations in a cluster has adverse impacts on the cluster performance. Therefore, you are advised to do so when the cluster is idle.</p>
+</div>
+<div class="section" id="mrs_01_1684__sa8a135a114cf4cbc8674242bd0cfebd7"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1684__ul6387132716574"><li id="mrs_01_1684__li8601330165719">The HDFS client or clients including HDFS has been installed. For example, the installation directory is <strong id="mrs_01_1684__b205976078852019">/opt/client</strong>.</li><li id="mrs_01_1684__la8a352e20c414015a0e60f8023ecc0a5">Service component users are created by the administrator as required. In security mode, machine-machine users need to download the keytab file. A human-machine user needs to change the password upon the first login. (This operation is not required in normal mode.)</li></ul>
+</div>
+<div class="section" id="mrs_01_1684__section10593839103019"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1684__o65a723c3f0644a5ca5bc95b50051ef8f"><li id="mrs_01_1684__l3a2e1b7a8d004152865881b7d9bda58b"><span>Log in to the node where the client is installed as the client installation user.</span></li><li id="mrs_01_1684__l918962d747ac488fae8d369a02cf0b01"><span>Run the following command to go to the client installation directory:</span><p><p id="mrs_01_1684__ae6fabba0d23e4ae4bc35c6ef79cff605"><strong id="mrs_01_1684__a5a32ca4aacc5401ca0e8e8a12040e570">cd /opt/client</strong></p>
+</p></li><li id="mrs_01_1684__lf110d935709c4ac48ee0ad1420665c2e"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_1684__acfff651122a74259a5e01741838c29e9"><strong id="mrs_01_1684__a468a1a99aae541fbab02686dddf0e45a">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_1684__lc24dad0c1fb34eec930f24087726a7fd"><span>If the cluster is in security mode, the user executing the DistCp command must belong to the <strong id="mrs_01_1684__b6672427184217">supergroup</strong> group and run the following command to perform user authentication. In normal mode, user authentication is not required.</span><p><p id="mrs_01_1684__p26289282124"><strong id="mrs_01_1684__b6628112811123">kinit</strong> <em id="mrs_01_1684__i862892861215">Component service user</em></p>
+</p></li><li id="mrs_01_1684__li19814121391317"><span>Increase the JVM size of the client to prevent out of memory (OOM). (32 GB is recommended for 100 million files.)</span><p><div class="note" id="mrs_01_1684__note1436184214133"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1684__p320316370353">The HDFS client exits abnormally and the error message "java.lang.OutOfMemoryError" is displayed after the HDFS client command is executed.</p>
+<p id="mrs_01_1684__p127670271150">This problem occurs because the memory required for running the HDFS client exceeds the preset upper limit (128 MB by default). You can change the memory upper limit of the client by modifying <strong id="mrs_01_1684__b190951605352019">CLIENT_GC_OPTS</strong> in <em id="mrs_01_1684__i3404754052019">&lt;Client installation path&gt;</em><strong id="mrs_01_1684__b72682366052019">/HDFS/component_env</strong>. For example, if you want to set the upper limit to 1 GB, run the following command:</p>
+<p id="mrs_01_1684__p2244181342020">CLIENT_GC_OPTS="-Xmx1G"</p>
+<p id="mrs_01_1684__p411125882013">After the modification, run the following command to make the modification take effect:</p>
+<p id="mrs_01_1684__p10140131102115"><strong id="mrs_01_1684__b148666076252019">source </strong>&lt;<em id="mrs_01_1684__i48222422052019">Client installation path</em>&gt;/<strong id="mrs_01_1684__b208682495952019">/bigdata_env</strong></p>
+</div></div>
+</p></li><li id="mrs_01_1684__li6626247810502"><span>Run the concurrent commands shown in the following table.</span><p>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1684__table41323024102735" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1684__row3454690102735"><th align="left" class="cellrowborder" valign="top" width="31.810000000000006%" id="mcps1.3.4.2.6.2.1.1.4.1.1"><p id="mrs_01_1684__p35441715102735">Command</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="45.080000000000005%" id="mcps1.3.4.2.6.2.1.1.4.1.2"><p id="mrs_01_1684__p881443102735">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="23.110000000000003%" id="mcps1.3.4.2.6.2.1.1.4.1.3"><p id="mrs_01_1684__p179022511156">Function</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1684__row38974829102735"><td class="cellrowborder" valign="top" width="31.810000000000006%" headers="mcps1.3.4.2.6.2.1.1.4.1.1 "><p id="mrs_01_1684__p8953334668">hdfs quickcmds [-t threadsNumber] [-p principal] [-k keytab] -setrep &lt;rep&gt; &lt;path&gt; ...</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.080000000000005%" headers="mcps1.3.4.2.6.2.1.1.4.1.2 "><p id="mrs_01_1684__p151191933274"><strong id="mrs_01_1684__b88424853552019">threadsNumber</strong> indicates the number of concurrent threads. The default value is the number of vCPUs of the local host.</p>
+<p id="mrs_01_1684__p10119333274"><strong id="mrs_01_1684__b157431642652019">principal</strong> indicates the Kerberos user.</p>
+<p id="mrs_01_1684__p11199336710"><strong id="mrs_01_1684__b117623924052019">keytab</strong> indicates the Keytab file.</p>
+<p id="mrs_01_1684__p311933312710"><strong id="mrs_01_1684__b122591206752019">rep</strong> indicates the number of replicas.</p>
+<p id="mrs_01_1684__p1811912334716"><strong id="mrs_01_1684__b4534803152019">path</strong> indicates the HDFS directory.</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.110000000000003%" headers="mcps1.3.4.2.6.2.1.1.4.1.3 "><p id="mrs_01_1684__p32772204103835">Used to concurrently set the number of copies of all files in a directory.</p>
+</td>
+</tr>
+<tr id="mrs_01_1684__row5050198102735"><td class="cellrowborder" valign="top" width="31.810000000000006%" headers="mcps1.3.4.2.6.2.1.1.4.1.1 "><p id="mrs_01_1684__p14541442102718">hdfs quickcmds [-t threadsNumber] [-p principal] [-k keytab] -chown [owner][:[group]] &lt;path&gt; ...</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.080000000000005%" headers="mcps1.3.4.2.6.2.1.1.4.1.2 "><p id="mrs_01_1684__p37505471379"><strong id="mrs_01_1684__b185253775652019">threadsNumber</strong> indicates the number of concurrent threads. The default value is the number of vCPUs of the local host.</p>
+<p id="mrs_01_1684__p4750647774"><strong id="mrs_01_1684__b73774731752019">principal</strong> indicates the Kerberos user.</p>
+<p id="mrs_01_1684__p137507473714"><strong id="mrs_01_1684__b27140137452019">keytab</strong> indicates the Keytab file.</p>
+<p id="mrs_01_1684__p97503474710"><strong id="mrs_01_1684__b159929268652019">owner</strong> indicates the owner.</p>
+<p id="mrs_01_1684__p77505477715"><strong id="mrs_01_1684__b150394601552019">group</strong> indicates the group to which the user belongs.</p>
+<p id="mrs_01_1684__p275017471777"><strong id="mrs_01_1684__b111163000852019">path</strong> indicates the HDFS directory.</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.110000000000003%" headers="mcps1.3.4.2.6.2.1.1.4.1.3 "><p id="mrs_01_1684__p49658254103835">Used to concurrently set the owner group of all files in the directory.</p>
+</td>
+</tr>
+<tr id="mrs_01_1684__row45034927102735"><td class="cellrowborder" valign="top" width="31.810000000000006%" headers="mcps1.3.4.2.6.2.1.1.4.1.1 "><p id="mrs_01_1684__p165399564610">hdfs quickcmds [-t threadsNumber] [-p principal] [-k keytab] -chmod &lt;mode&gt; &lt;path&gt; ...</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.080000000000005%" headers="mcps1.3.4.2.6.2.1.1.4.1.2 "><p id="mrs_01_1684__p16812114782417"><strong id="mrs_01_1684__b202692739952019">threadsNumber</strong> indicates the number of concurrent threads. The default value is the number of vCPUs of the local host.</p>
+<p id="mrs_01_1684__p881324722415"><strong id="mrs_01_1684__b79563875952019">principal</strong> indicates the Kerberos user.</p>
+<p id="mrs_01_1684__p981304710245"><strong id="mrs_01_1684__b72998667252019">keytab</strong> indicates the Keytab file.</p>
+<p id="mrs_01_1684__p2081384715241"><strong id="mrs_01_1684__b24468493552019">mode</strong> indicates the permission (for example, 754).</p>
+<p id="mrs_01_1684__p10813134792415"><strong id="mrs_01_1684__b19401837352019">path</strong> indicates the HDFS directory.</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.110000000000003%" headers="mcps1.3.4.2.6.2.1.1.4.1.3 "><p id="mrs_01_1684__p53746577103835">Used to concurrently set permissions for all files in a directory.</p>
+</td>
+</tr>
+<tr id="mrs_01_1684__row34511355102735"><td class="cellrowborder" valign="top" width="31.810000000000006%" headers="mcps1.3.4.2.6.2.1.1.4.1.1 "><p id="mrs_01_1684__p1261755713">hdfs quickcmds [-t threadsNumber] [-p principal] [-k keytab] -setfacl [{-b|-k} {-m|-x &lt;acl_spec&gt;} &lt;path&gt; ...]|[--set &lt;acl_spec&gt; &lt;path&gt; ...]</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.080000000000005%" headers="mcps1.3.4.2.6.2.1.1.4.1.2 "><p id="mrs_01_1684__p136471258152419"><strong id="mrs_01_1684__b96870977452019">threadsNumber</strong> indicates the number of concurrent threads. The default value is the number of vCPUs of the local host.</p>
+<p id="mrs_01_1684__p11647125852419"><strong id="mrs_01_1684__b36417191752019">principal</strong> indicates the Kerberos user.</p>
+<p id="mrs_01_1684__p664715584248"><strong id="mrs_01_1684__b121935783652019">keytab</strong> indicates the Keytab file.</p>
+<p id="mrs_01_1684__p5647115822419"><strong id="mrs_01_1684__b48245735952019">acl_spec</strong> indicates the ACL list separated by commas (,).</p>
+<p id="mrs_01_1684__p2064725812410"><strong id="mrs_01_1684__b42429238852019">path</strong> indicates the HDFS directory.</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.110000000000003%" headers="mcps1.3.4.2.6.2.1.1.4.1.3 "><p id="mrs_01_1684__p57843426103835">Used to concurrently set ACL information for all files in a directory.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1687.html b/docs/mrs/component-operation-guide/mrs_01_1687.html
new file mode 100644
index 000000000..beff53200
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1687.html
@@ -0,0 +1,48 @@
+<a name="mrs_01_1687"></a><a name="mrs_01_1687"></a>
+
+<h1 class="topictitle1">Improving Write Performance</h1>
+<div id="body1595904097002"><div class="section" id="mrs_01_1687__s888991eaee3541dab114038504907c33"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1687__a838e1a26f18747d4bc6822fa93f9c023">Improve the HDFS write performance by modifying the HDFS attributes.</p>
+<div class="note" id="mrs_01_1687__note17408121619136"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1687__p788202018132">This section applies to MRS 3.<em id="mrs_01_1687__i1520317115116">x</em> or later.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1687__s7653e7791b1346bb8050de05d8a69938"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1687__ab2e157acbcaf4afaae47fcb0bb351433">Navigation path for setting parameters:</p>
+<p id="mrs_01_1687__a5ec540c7b51643fe879f73b61ac6b255">On FusionInsight Manager, choose <span id="mrs_01_1687__text193118495113"><strong id="mrs_01_1687__b1293074185119">Cluster</strong> &gt; </span><em id="mrs_01_1687__i18931134175116">Name of the desired cluster</em> &gt; <strong id="mrs_01_1687__b9932174195111">Services</strong> &gt; <strong id="mrs_01_1687__b1193215415513">HDFS</strong> &gt; <strong id="mrs_01_1687__b199321548511">Configurations</strong> and select <strong id="mrs_01_1687__b393318412510">All Configurations</strong>. Enter a parameter name in the search box.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1687__td00e5f3489fe44289a2464a9369aff34" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters for improving HDFS write performance</caption><thead align="left"><tr id="mrs_01_1687__rff041b07a8b340a1926304b1f6ab1ea1"><th align="left" class="cellrowborder" valign="top" width="26.57%" id="mcps1.3.2.4.2.4.1.1"><p id="mrs_01_1687__a92784d1c93974d69ba94e0e101ac08c6">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="52.5%" id="mcps1.3.2.4.2.4.1.2"><p id="mrs_01_1687__ae56e2b0fba104ff6a445ab7f6d1ca1a3">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20.93%" id="mcps1.3.2.4.2.4.1.3"><p id="mrs_01_1687__a44eb6738bb594cea9aef6fbc10f1bc21">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1687__r352c6dad6ecf4b0dbc9010f8f7c2248b"><td class="cellrowborder" valign="top" width="26.57%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_1687__a188f9c9023604b36a8c652e3adf97030">dfs.datanode.drop.cache.behind.reads</p>
+</td>
+<td class="cellrowborder" valign="top" width="52.5%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_1687__p2041064841615">Specifies whether to enable a DataNode to automatically clear all data in the cache after the data in the cache is transferred to the client.</p>
+<ul id="mrs_01_1687__ul138431841142112"><li id="mrs_01_1687__li20843104110215"><strong id="mrs_01_1687__b31301930505">true</strong>: The cached data is discarded. This parameter needs to be configured on the DataNode.<p id="mrs_01_1687__p1945617816227">You are advised to set it to <strong id="mrs_01_1687__b465065417504">true</strong> if data is repeatedly read only a few times, so that the cache can be used by other operations.</p>
+</li><li id="mrs_01_1687__li8843124110219"><strong id="mrs_01_1687__b739117206519">false</strong>: You are advised to set it to <strong id="mrs_01_1687__b661411425218">false</strong> if data is read repeatedly for many times to improve the read speed.</li></ul>
+<div class="note" id="mrs_01_1687__note17182138121219"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1687__p171847381122">This parameter is optional for improving write performance. You can configure it as needed.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="20.93%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_1687__a2b1406210a2e4777933e8fb14b2b0116">false</p>
+</td>
+</tr>
+<tr id="mrs_01_1687__r4fd857e1bc634a5d8e0e5e5a5dfb0139"><td class="cellrowborder" valign="top" width="26.57%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_1687__aa60447591b0d418fbe1545052b1b9667">dfs.client-write-packet-size</p>
+</td>
+<td class="cellrowborder" valign="top" width="52.5%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_1687__afe715bbc8fc648a4bbd6988ed39e5c67">Specifies the size of the client write packet. When the HDFS client writes data to the DataNode, the data will be accumulated until a packet is generated. Then, the packet is transmitted over the network. This parameter specifies the size (unit: byte) of the data packet to be transmitted, which can be specified by each job.</p>
+<p id="mrs_01_1687__a4d8a5adafac2427eb940f27a2e494a40">In the 10-Gigabit network, you can increase the value of this parameter to enhance the transmission throughput.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.93%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_1687__ac16fd39b79724596b4662e3a05f77392">262144</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0829.html">HDFS Performance Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1688.html b/docs/mrs/component-operation-guide/mrs_01_1688.html
new file mode 100644
index 000000000..5943fceb7
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1688.html
@@ -0,0 +1,72 @@
+<a name="mrs_01_1688"></a><a name="mrs_01_1688"></a>
+
+<h1 class="topictitle1">Improving Read Performance Using Client Metadata Cache</h1>
+<div id="body1595904097004"><div class="section" id="mrs_01_1688__sc681d92b08594c59aaee44cbf13a08e3"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1688__a43fb0a987f5c4296aefe8189ed2bf423">Improve the HDFS read performance by using the client to cache the metadata for block locations.</p>
+<div class="note" id="mrs_01_1688__n6ff0735c7d8e4079b9b15643d1de8aba"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1688__a036268bd21b048119f6795d4331ab425">This function is recommended only for reading files that are not modified frequently. Because the data modification done on the server side by some other client is invisible to the cache client, which may cause the metadata obtained from the cache to be outdated.</p>
+<p id="mrs_01_1688__p1520492017202">This section applies to MRS 3.<em id="mrs_01_1688__i4586154017527">x</em> or later.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1688__sfc9a344b9e964a9c9be32aa544b65fe5"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1688__a2471556f8ea0443387c3488b9e9888b3"><strong id="mrs_01_1688__b885594295213">Navigation path for setting parameters:</strong></p>
+<p id="mrs_01_1688__ae2bcd657ca8046679656a82f7e91b2a1">On FusionInsight Manager, choose <span id="mrs_01_1688__text79112367811"><strong id="mrs_01_1688__b1234434495213">Cluster</strong> &gt; </span><em id="mrs_01_1688__i734504412529">Name of the desired cluster</em> &gt; <strong id="mrs_01_1688__b834515447529">Services</strong> &gt; <strong id="mrs_01_1688__b5346544205214">HDFS</strong> &gt; <strong id="mrs_01_1688__b2346184495218">Configurations</strong>, select <span class="parmvalue" id="mrs_01_1688__parmvalue33466441522"><b>All Configurations</b></span>, and enter the parameter name in the search box.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1688__ta3729e896db44b35b9ed497c389bf514" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter configuration</caption><thead align="left"><tr id="mrs_01_1688__rcb217d3f809b4439977b1e36093690ae"><th align="left" class="cellrowborder" valign="top" width="27.51%" id="mcps1.3.2.4.2.4.1.1"><p id="mrs_01_1688__a64e320d5eace46d19b1119fbf7b54545">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="59.45%" id="mcps1.3.2.4.2.4.1.2"><p id="mrs_01_1688__a51cfb2486f204f868788f7b9ee69d5d9">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="13.04%" id="mcps1.3.2.4.2.4.1.3"><p id="mrs_01_1688__ab710d4350ef248c0bfb75fdc502c2d1a">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1688__r06606778e5d94b5a975a68840ba496e0"><td class="cellrowborder" valign="top" width="27.51%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_1688__a2426c82108544400af0f2f6c2f481dde">dfs.client.metadata.cache.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.45%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_1688__a73d8daac0718460bbc3d9530578a42dc">Enables or disables the client to cache the metadata for block locations. Set this parameter to <span class="parmvalue" id="mrs_01_1688__parmvalue58231321105314"><b>true</b></span> and use it along with the <span class="parmname" id="mrs_01_1688__parmname5828132155311"><b>dfs.client.metadata.cache.pattern</b></span> parameter to enable the cache.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.04%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_1688__a7445851a46d64ac2afe66a53cee5cd97">false</p>
+</td>
+</tr>
+<tr id="mrs_01_1688__r4cf84db7801c4fbba62da49775e5705d"><td class="cellrowborder" valign="top" width="27.51%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_1688__a26953ae06802443ea93553466ea0cef1">dfs.client.metadata.cache.pattern</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.45%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_1688__ad3e98f366c4a4e8e9b3976108c9f53a3">Indicates the regular expression pattern of the path of the file to be cached. Only the metadata for block locations of these files is cached until the metadata expires. This parameter is valid only when <span class="parmname" id="mrs_01_1688__parmname15522126165317"><b>dfs.client.metadata.cache.enabled</b></span> is set to <span class="parmvalue" id="mrs_01_1688__parmvalue1552292645317"><b>true</b></span>.</p>
+<p id="mrs_01_1688__a35abf68754a349e1b2fd26acbf90c423">Example: <span class="filepath" id="mrs_01_1688__filepath1936183610536"><b>/test.*</b></span> indicates that all files whose paths start with <strong id="mrs_01_1688__b15366133615534">/test</strong> are read.</p>
+<div class="note" id="mrs_01_1688__n90bb6614cbbb42e0a4948f0ba552853a"><span class="notetitle"> NOTE: </span><div class="notebody"><ul id="mrs_01_1688__u08220e1eab904339b8a830efa390a356"><li id="mrs_01_1688__l047f5af3aeb9406d9abda11f491184e3">To ensure consistency, configure a specific mode to cache only files that are not frequently modified by other clients.</li></ul>
+<ul id="mrs_01_1688__ufd39a3d1469a4893bb1e6c715aa449ac"><li id="mrs_01_1688__la04b5236a0c14b3ea0bdfb54cc1db0c8">The regular expression pattern verifies only the path of the URI, but not the schema and authority in the case of the Fully Qualified path.</li></ul>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="13.04%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_1688__p20755533249">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1688__r6b5d560a21c24540ad9c439fd6cdbe2d"><td class="cellrowborder" valign="top" width="27.51%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_1688__a0e4eca6a7c5b43b4a21a46abed3fc750">dfs.client.metadata.cache.expiry.sec</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.45%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_1688__a6ef95dccb8424b2ebae62ee11c8f85bc">Indicates the duration for caching metadata. The cache entry becomes invalid after its caching time exceeds this duration. Even metadata that is frequently used during the caching process can become invalid.</p>
+<p id="mrs_01_1688__a8da04b1eae88443993c4037511869a0c">Time suffixes <strong id="mrs_01_1688__b194924585319">s</strong>/<strong id="mrs_01_1688__b1854204555316">m</strong>/<strong id="mrs_01_1688__b355845105311">h</strong> can be used to indicate second, minute, and hour, respectively.</p>
+<div class="note" id="mrs_01_1688__neee2ba73a1f94283bd6c234dae2ec085"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1688__a0caf1656808b48fb8d6538d9e061ad78">If this parameter is set to <span class="parmvalue" id="mrs_01_1688__parmvalue10521446185316"><b>0s</b></span>, the cache function is disabled.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="13.04%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_1688__a69d6f15c00f74af49a80445dc7c0f663">60s</p>
+</td>
+</tr>
+<tr id="mrs_01_1688__r69c1069200ae44f8a3aa3aae611b9535"><td class="cellrowborder" valign="top" width="27.51%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_1688__affa346519ffb45f396694aaa9f08b329">dfs.client.metadata.cache.max.entries</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.45%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_1688__acc3693f367b6431fbc86670d8746bcee">Indicates the maximum number of non-expired data items that can be cached at a time.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.04%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_1688__afb24a42ddc424198b0efb30d59482b9a">65536</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_1688__n03fb443136e6441698042999a0d11407"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1688__a274eee6b2d554cfcbcab6fb4b8f34311">Call <em id="mrs_01_1688__i5148145045319">DFSClient#clearLocatedBlockCache()</em> to completely clear the client cache before it expires.</p>
+<p id="mrs_01_1688__a2aa06e72d4e74efc90d61abb8ff14ba2">The sample usage is as follows:</p>
+<pre class="screen" id="mrs_01_1688__s17cfe52b69c545cd85ef841a65a9fa6d">    FileSystem fs = FileSystem.get(conf);
+    DistributedFileSystem dfs = (DistributedFileSystem) fs;
+    DFSClient dfsClient = dfs.getClient();
+    <strong id="mrs_01_1688__a5dc9526253384dd6bd307accde513e5a">dfsClient.clearLocatedBlockCache();</strong></pre>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0829.html">HDFS Performance Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1689.html b/docs/mrs/component-operation-guide/mrs_01_1689.html
new file mode 100644
index 000000000..388b6f5d9
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1689.html
@@ -0,0 +1,61 @@
+<a name="mrs_01_1689"></a><a name="mrs_01_1689"></a>
+
+<h1 class="topictitle1">Improving the Connection Between the Client and NameNode Using Current Active Cache</h1>
+<div id="body1595904097006"><div class="section" id="mrs_01_1689__s60a41fab02a745dc8c086b48cb2b85dd"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1689__af142ecb1738345c2bbeb29bbccfcdcee">When HDFS is deployed in high availability (HA) mode with multiple NameNode instances, the HDFS client needs to connect to each NameNode in sequence to determine which is the active NameNode and use it for client operations.</p>
+<p id="mrs_01_1689__aa72120dc82ba40b9a0918d0eacc9d472">Once the active NameNode is identified, its details can be cached and shared to all clients running on the client host. In this way, each new client first tries to load the details of the active Name Node from the cache and save the RPC call to the standby NameNode, which can help a lot in abnormal scenarios, for example, when the standby NameNode cannot be connected for a long time.</p>
+<p id="mrs_01_1689__ac0aadfb3c2a140e3bae2c1340f93baab">When a fault occurs and the other NameNode is switched to the active state, the cached details are updated to the information about the current active NameNode.</p>
+<div class="note" id="mrs_01_1689__note17408121619136"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1689__p788202018132">This section applies to MRS 3.<em id="mrs_01_1689__i20492142914549">x</em> or later.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1689__sac1b4679e677447aac77640111dd4421"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1689__a5d73b837da074480a1bc0235abd12a48">Navigation path for setting parameters:</p>
+<p id="mrs_01_1689__acaffa0053ca84bbb856c62cd5abb4c3f">On FusionInsight Manager, choose <span id="mrs_01_1689__text79112367811"><strong id="mrs_01_1689__b1364918321547">Cluster</strong> &gt; </span><em id="mrs_01_1689__i186505322541">Name of the desired cluster</em> &gt; <strong id="mrs_01_1689__b14650932105412">Services</strong> &gt; <strong id="mrs_01_1689__b13651113219547">HDFS</strong> &gt; <strong id="mrs_01_1689__b56517328548">Configurations</strong>, select <strong id="mrs_01_1689__b1965218321542">All Configurations</strong>, and enter the parameter name in the search box.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1689__tf253de762d4741ac8f169e1a13f91cf2" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Configuration parameters</caption><thead align="left"><tr id="mrs_01_1689__r2d2ff346fdfb4034a32663928f15d53b"><th align="left" class="cellrowborder" valign="top" width="26.57%" id="mcps1.3.2.4.2.4.1.1"><p id="mrs_01_1689__a065ffb00c249483db9abfa465b8c87dc">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="52.31%" id="mcps1.3.2.4.2.4.1.2"><p id="mrs_01_1689__a9a818fd65ef04a8a87eb4c7945e94b4c">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="21.12%" id="mcps1.3.2.4.2.4.1.3"><p id="mrs_01_1689__a74b3c743dc4d4aa6b4120e0302589aee">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1689__r5bd5378cbcfc4320b00917b682466e25"><td class="cellrowborder" valign="top" width="26.57%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_1689__a0c456bb74ffb4c7d8209fbc8af69f08c">dfs.client.failover.proxy.provider.[nameservice ID]</p>
+</td>
+<td class="cellrowborder" valign="top" width="52.31%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_1689__a0a40956f57cd4aacb47551243af34e1e">Client Failover proxy provider class which creates the NameNode proxy using the authenticated protocol. If this parameter is set to <strong id="mrs_01_1689__b19434195013118">org.apache.hadoop.hdfs.server.namenode.ha.BlackListingFailoverProxyProvider</strong>, you can use the NameNode blacklist feature on the HDFS client. If this parameter is set to <strong id="mrs_01_1689__b1247944317329">org.apache.hadoop.hdfs.server.namenode.ha.ObserverReadProxyProvider</strong>, you can configure the observer NameNode to process read requests.</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.12%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_1689__abf9ec7f6d2db4e1499c02340fdb08697">org.apache.hadoop.hdfs.server.namenode.ha.AdaptiveFailoverProxyProvider</p>
+</td>
+</tr>
+<tr id="mrs_01_1689__r914f57aec3bd4f4baa6b5ff14b9d34d4"><td class="cellrowborder" valign="top" width="26.57%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_1689__ac8103c41d78e4ceea9664e91bcdc70ab">dfs.client.failover.activeinfo.share.flag</p>
+</td>
+<td class="cellrowborder" valign="top" width="52.31%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_1689__a8d7b512c09364679a0d704afff25645c">Specifies whether to enable the cache function and share the detailed information about the current active NameNode with other clients. Set it to <span class="parmvalue" id="mrs_01_1689__parmvalue181867855613"><b>true</b></span> to enable the cache function.</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.12%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_1689__a6ada73e30a95401ab39215f38b8617a0">false</p>
+</td>
+</tr>
+<tr id="mrs_01_1689__rdb26491ead654a9d870485df417938f9"><td class="cellrowborder" valign="top" width="26.57%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_1689__a159b9c70afc5401f890e7560544fe06d">dfs.client.failover.activeinfo.share.path</p>
+</td>
+<td class="cellrowborder" valign="top" width="52.31%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_1689__a744c476371e241ca8a3d2763ab840edb">Specifies the local directory for storing the shared files created by all clients in the host. If a cache area is to be shared by different users, the directory must have required permissions (for example, creating, reading, and writing cache files in the specified directory).</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.12%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_1689__acafb4626845a4b8a9a145e0abeb8bcfa">/tmp</p>
+</td>
+</tr>
+<tr id="mrs_01_1689__rf1d42cb2e95e4acea710d1cb6dda84a2"><td class="cellrowborder" valign="top" width="26.57%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_1689__ac1304fcfca3d451db4ebc4da82334eeb">dfs.client.failover.activeinfo.share.io.timeout.sec</p>
+</td>
+<td class="cellrowborder" valign="top" width="52.31%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_1689__afeb8f45d107646f9ae0bd2b2b85f865c">(Optional) Used to control timeout. The cache file is locked when it is being read or written, and if the file cannot be locked within the specified time, the attempt to read or update the caches will be abandoned. The unit is second.</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.12%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_1689__ae087a5e12f974deab5229527f0afd03d">5</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_1689__n22a1ff884b284234b1dc44107ac15637"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1689__a45bdce72430a4f459b7c86b1b0b71019">The cache files created by the HDFS client are reused by other clients, and thus these files will not be deleted from the local system. If this function is disabled, you may need to manually clear the data.</p>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0829.html">HDFS Performance Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1690.html b/docs/mrs/component-operation-guide/mrs_01_1690.html
new file mode 100644
index 000000000..fd8f035ed
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@@ -0,0 +1,53 @@
+<a name="mrs_01_1690"></a><a name="mrs_01_1690"></a>
+
+
+  <h1 class="topictitle1">FAQ</h1>
+
+  <div id="body1597735017657"><p id="mrs_01_1690__p8060118"></p>
+</div>
+
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1691.html">NameNode Startup Is Slow</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1693.html">DataNode Is Normal but Cannot Report Data Blocks</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1694.html">HDFS WebUI Cannot Properly Update Information About Damaged Data</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1695.html">Why Does the Distcp Command Fail in the Secure Cluster, Causing an Exception?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1696.html">Why Does DataNode Fail to Start When the Number of Disks Specified by dfs.datanode.data.dir Equals dfs.datanode.failed.volumes.tolerated?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1697.html">Failed to Calculate the Capacity of a DataNode when Multiple data.dir Directories Are Configured in a Disk Partition</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1698.html">Standby NameNode Fails to Be Restarted When the System Is Powered off During Metadata (Namespace) Storage</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1699.html">Why Data in the Buffer Is Lost If a Power Outage Occurs During Storage of Small Files</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1700.html">Why Does Array Border-crossing Occur During FileInputFormat Split?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1701.html">Why Is the Storage Type of File Copies DISK When the Tiered Storage Policy Is LAZY_PERSIST?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1702.html">The HDFS Client Is Unresponsive When the NameNode Is Overloaded for a Long Time</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1703.html">Can I Delete or Modify the Data Storage Directory in DataNode?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1704.html">Blocks Miss on the NameNode UI After the Successful Rollback</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1705.html">Why Is "java.net.SocketException: No buffer space available" Reported When Data Is Written to HDFS</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1706.html">Why are There Two Standby NameNodes After the active NameNode Is Restarted?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1707.html">When Does a Balance Process in HDFS, Shut Down and Fail to be Executed Again?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1708.html">"This page can't be displayed" Is Displayed When Internet Explorer Fails to Access the Native HDFS UI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1709.html">NameNode Fails to Be Restarted Due to EditLog Discontinuity</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1691.html b/docs/mrs/component-operation-guide/mrs_01_1691.html
new file mode 100644
index 000000000..9030f36d3
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1691.html
@@ -0,0 +1,22 @@
+<a name="mrs_01_1691"></a><a name="mrs_01_1691"></a>
+
+<h1 class="topictitle1">NameNode Startup Is Slow</h1>
+<div id="body1597735018402"><div class="section" id="mrs_01_1691__sf3a6b34408cf42edb05de2b274b66cbb"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1691__afea7d29fc6a54aeeab0fd991d7e44b65">The NameNode startup is slow when it is restarted immediately after a large number of files (for example, 1 million files) are deleted.</p>
+</div>
+<div class="section" id="mrs_01_1691__sae6b9482a55143aea893161108bd2547"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1691__a9c1718311a2841478050e8342b1fee4e">It takes time for the DataNode to delete the corresponding blocks after files are deleted. When the NameNode is restarted immediately, it checks the block information reported by all DataNodes. If a deleted block is found, the NameNode generates the corresponding INFO log information, as shown below:</p>
+<pre class="screen" id="mrs_01_1691__s68193abc02454dccb9017a809ea7555a">2015-06-10 19:25:50,215 | INFO  | IPC Server handler 36 on 25000 | BLOCK* processReport: 
+blk_1075861877_2121067 on node 10.91.8.218:9866 size 10249 does not belong to any file | 
+org.apache.hadoop.hdfs.server.blockmanagement.BlockManager.processReport(BlockManager.java:1854)</pre>
+<p id="mrs_01_1691__a8d1db27752d643eeb3692288b99de792">A log is generated for each deleted block. A file may contain one or more blocks. Therefore, after startup, the NameNode spends a large amount of time printing logs when a large number of files are deleted. As a result, the NameNode startup becomes slow.</p>
+<p id="mrs_01_1691__aed332e0e5b714cceaa8334918bbc91ed">To address this issue, the following operations can be performed to speed up the startup:</p>
+<ol id="mrs_01_1691__o091392cf930d486f86144e336da1c189"><li id="mrs_01_1691__l4e61d1a1c5134653b94a7a065e1fc3d1">After a large number of files are deleted, wait until the DataNode deletes the corresponding blocks and then restart the NameNode.<p id="mrs_01_1691__a89d3a977360f49d482f6a9dab8f93c11"><a name="mrs_01_1691__l4e61d1a1c5134653b94a7a065e1fc3d1"></a><a name="l4e61d1a1c5134653b94a7a065e1fc3d1"></a>You can run the <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1691__cmdname3653122582119">hdfs dfsadmin -report</span></b></i> command to check the disk space and check whether the files have been deleted.</p>
+</li><li id="mrs_01_1691__leb4c3de4e05c41b4ad45690418066be7">If a large number of the preceding logs are generated, you can change the NameNode log level to <strong id="mrs_01_1691__b150993753122021">ERROR</strong> so that the NameNode stops printing such logs.<p id="mrs_01_1691__a2d9a11b0ac074f57aa84794d90bd5005">After the NameNode is restarted, change the log level back to <strong id="mrs_01_1691__b181849470822021">INFO</strong>. You do not need to restart the service after changing the log level.</p>
+</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1690.html">FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1693.html b/docs/mrs/component-operation-guide/mrs_01_1693.html
new file mode 100644
index 000000000..2ef1e454f
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1693.html
@@ -0,0 +1,37 @@
+<a name="mrs_01_1693"></a><a name="mrs_01_1693"></a>
+
+<h1 class="topictitle1">DataNode Is Normal but Cannot Report Data Blocks</h1>
+<div id="body1597735018677"><div class="section" id="mrs_01_1693__s8052e279fdad4c47aeb8257957dec0bb"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1693__a8d7a3604fc594ef09128fa8a1b4b4d08">The DataNode is normal, but cannot report data blocks. As a result, the existing data blocks cannot be used.</p>
+</div>
+<div class="section" id="mrs_01_1693__sd45d6517a74d408890579902c23338bb"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1693__a4db44eab305b47268b87ccf7f924198d">This error may occur when the number of data blocks in a data directory exceeds four times the upper limit (4 x 1 MB). And the DataNode generates the following error logs:</p>
+<pre class="screen" id="mrs_01_1693__s522ab129667c4824a657f42965b1eb76">2015-11-05 10:26:32,936 | ERROR | DataNode:[[[DISK]file:/srv/BigData/hadoop/data1/dn/]] heartbeating to 
+vm-210/10.91.8.210:8020 | Exception in BPOfferService for Block pool BP-805114975-10.91.8.210-1446519981645 
+(Datanode Uuid bcada350-0231-413b-bac0-8c65e906c1bb) service to vm-210/10.91.8.210:8020 | BPServiceActor.java:824 
+java.lang.IllegalStateException:com.google.protobuf.InvalidProtocolBufferException:Protocol message was too large.May 
+be malicious.Use CodedInputStream.setSizeLimit() to increase the size limit. at org.apache.hadoop.hdfs.protocol.BlockListAsLongs$BufferDecoder$1.next(BlockListAsLongs.java:369) 
+at org.apache.hadoop.hdfs.protocol.BlockListAsLongs$BufferDecoder$1.next(BlockListAsLongs.java:347) at org.apache.hadoop.hdfs.
+protocol.BlockListAsLongs$BufferDecoder.getBlockListAsLongs(BlockListAsLongs.java:325) at org.apache.hadoop.hdfs.protocolPB.DatanodeProtocolClientSideTranslatorPB.
+blockReport(DatanodeProtocolClientSideTranslatorPB.java:190) at org.apache.hadoop.hdfs.server.datanode.BPServiceActor.blockReport(BPServiceActor.java:473) 
+at org.apache.hadoop.hdfs.server.datanode.BPServiceActor.offerService(BPServiceActor.java:685) at org.apache.hadoop.hdfs.server.datanode.BPServiceActor.run(BPServiceActor.java:822) 
+at java.lang.Thread.run(Thread.java:745) Caused by:com.google.protobuf.InvalidProtocolBufferException:Protocol message was too large.May be malicious.Use CodedInputStream.setSizeLimit() 
+to increase the size limit. at com.google.protobuf.InvalidProtocolBufferException.sizeLimitExceeded(InvalidProtocolBufferException.java:110) at com.google.protobuf.CodedInputStream.refillBuffer(CodedInputStream.java:755) 
+at com.google.protobuf.CodedInputStream.readRawByte(CodedInputStream.java:769) at com.google.protobuf.CodedInputStream.readRawVarint64(CodedInputStream.java:462) at com.google.protobuf.
+CodedInputStream.readSInt64(CodedInputStream.java:363) at org.apache.hadoop.hdfs.protocol.BlockListAsLongs$BufferDecoder$1.next(BlockListAsLongs.java:363)</pre>
+<p id="mrs_01_1693__aa6afed36df34467791109e906cd6da74">The number of data blocks in the data directory is displayed as <strong id="mrs_01_1693__b97755866522149">Metric</strong>. You can monitor its value through <strong id="mrs_01_1693__b58796653022149">http://&lt;datanode-ip&gt;:&lt;http-port&gt;/jmx</strong>. If the value is greater than four times the upper limit (4 x 1 MB), you are advised to configure multiple drives and restart HDFS.</p>
+<p id="mrs_01_1693__a7579ccdca8ad48449836cc803c1d0c9a"><strong id="mrs_01_1693__a0a337e1a81d546ceb32c02052ed6cde1">Recovery procedure:</strong></p>
+<ol id="mrs_01_1693__oe5858521d97646b29b2e5671e2f9b15d"><li id="mrs_01_1693__l89860edb309a44169dd6bc457f24e3b0">Configure multiple data directories on the DataNode.<p id="mrs_01_1693__a4e0cf2d491344f488d4b2969d14f9078"><a name="mrs_01_1693__l89860edb309a44169dd6bc457f24e3b0"></a><a name="l89860edb309a44169dd6bc457f24e3b0"></a>For example, configure multiple directories on the DataNode where only the <strong id="mrs_01_1693__a7dcf9d2bc46141f8a6db939d1705eb5b">/data1/datadir</strong> directory is configured:</p>
+<pre class="screen" id="mrs_01_1693__s27c5c7e7885b478b9c7488ec55741ce3">&lt;property&gt; &lt;name&gt;dfs.datanode.data.dir&lt;/name&gt; &lt;value&gt;/data1/datadir&lt;/value&gt; &lt;/property&gt;</pre>
+<p id="mrs_01_1693__ad5d47357b2674e6bb8be901dc287fe90">Configure as follows:</p>
+<pre class="screen" id="mrs_01_1693__sac61e83f3a244cf9a21a8a2dcbec7228">&lt;property&gt; &lt;name&gt;dfs.datanode.data.dir&lt;/name&gt; &lt;value&gt;/data1/datadir/,/data2/datadir,/data3/datadir&lt;/value&gt; &lt;/property&gt;</pre>
+<div class="note" id="mrs_01_1693__n15a6492c27fd42839263d2d20e07fbaf"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1693__aa007a430b358436fb580c113bf82f82b">You are advised to configure multiple data directories on multiple disks. Otherwise, performance may be affected.</p>
+</div></div>
+</li><li id="mrs_01_1693__l6f67245eab4f48eda9d2f17af31e1eaa">Restart the HDFS.</li><li id="mrs_01_1693__lb268ebbc729644bb81725782699572ce">Perform the following operation to move the data to the new data directory:<p id="mrs_01_1693__ac4ca17ffaa674b128b66616147ea70f5"><a name="mrs_01_1693__lb268ebbc729644bb81725782699572ce"></a><a name="lb268ebbc729644bb81725782699572ce"></a><strong id="mrs_01_1693__b2579101651213">mv</strong> <i><span class="varname" id="mrs_01_1693__v0fc8b8ef793640f7ae1d04894ed756d1">/data1/datadir/current/finalized/subdir1  /data2/datadir/current/finalized/subdir1</span></i></p>
+</li><li id="mrs_01_1693__la9d2a432ebfa4366a4947e177ec16a16">Restart the HDFS.</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1690.html">FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1694.html b/docs/mrs/component-operation-guide/mrs_01_1694.html
new file mode 100644
index 000000000..58833047a
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1694.html
@@ -0,0 +1,14 @@
+<a name="mrs_01_1694"></a><a name="mrs_01_1694"></a>
+
+<h1 class="topictitle1">HDFS WebUI Cannot Properly Update Information About Damaged Data</h1>
+<div id="body1597735018679"><div class="section" id="mrs_01_1694__s0c7a231f844d48848d75a4982e0cb30e"><h4 class="sectiontitle">Question</h4><ol id="mrs_01_1694__oe53453a33b844df9b5b7b87242b401ba"><li id="mrs_01_1694__l274b536112b6417a8e52229c6e95b376">When errors occur in the <span class="parmname" id="mrs_01_1694__p04fcce095294473294d7ec409d61d877"><b>dfs.datanode.data.dir</b></span> directory of DataNode due to the permission or disk damage, HDFS WebUI does not display information about damaged data.</li><li id="mrs_01_1694__l119fa880058b4afea21bfc548fc7e231">After errors are restored, HDFS WebUI does not timely remove related information about damaged data.</li></ol>
+</div>
+<div class="section" id="mrs_01_1694__s7b138a633cb848e4a5975b4ef2ed09c2"><h4 class="sectiontitle">Answer</h4><ol id="mrs_01_1694__oa9df13825da049909786baeb3fdbed8a"><li id="mrs_01_1694__l8a0b50879bf645a0aafb96abeda9e08d">DataNode checks whether the disk is normal only when errors occur in file operations. Therefore, only when a data damage is detected and the error is reported to NameNode, NameNode displays information about the damaged data on HDFS WebUI.</li><li id="mrs_01_1694__le096bb610c754f70a2e4397003a2ce2b">After errors are fixed, you need to restart DataNode. During restarting DataNode, all data states are checked and damaged data information is uploaded to NameNode. Therefore, after errors are fixed, damaged data information is not displayed on the HDFS WebUI only by restarting DataNode.</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1690.html">FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1695.html b/docs/mrs/component-operation-guide/mrs_01_1695.html
new file mode 100644
index 000000000..4909d979c
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1695.html
@@ -0,0 +1,20 @@
+<a name="mrs_01_1695"></a><a name="mrs_01_1695"></a>
+
+<h1 class="topictitle1">Why Does the Distcp Command Fail in the Secure Cluster, Causing an Exception?</h1>
+<div id="body1597735018973"><div class="section" id="mrs_01_1695__sc767d6311c15481d975d94fdbcc9cb95"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1695__a87b06e299c9542a3b740711a20738a0f">Why distcp command fails in the secure cluster with the following error displayed?</p>
+</div>
+<p id="mrs_01_1695__a6fcce7bbdc694b4dabec8cd5196f761d">Client side exception</p>
+<pre class="screen" id="mrs_01_1695__s1047b6776f9c4dd580a96c9d9a1d246d"><span id="mrs_01_1695__ph1689563515619">Invalid arguments: Unexpected end of file from server</span></pre>
+<p id="mrs_01_1695__ade44ce019d344321a99999a97e68645b">Server side exception</p>
+<pre class="screen" id="mrs_01_1695__sb943b639cab4413ab68ee4878ff1f0b6"><span id="mrs_01_1695__ph58966357615">javax.net.ssl.SSLException: Unrecognized SSL message, plaintext connection?</span></pre>
+<div class="section" id="mrs_01_1695__sbae3285dda4b47eeb6bfacaf406734fe"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1695__ae5b1083176bd44c3bba26220b260eda8">The preceding error may occur if <strong id="mrs_01_1695__a6c8f27b62b06496eb7edda7a1d7c5caa">webhdfs://</strong> is used in the distcp command. The reason is that the big data cluster uses the HTTPS mechanism, that is, <span class="parmname" id="mrs_01_1695__pc09e1effaf914822a2f65003844c9178"><b>dfs.http.policy</b></span> is set to <span class="parmvalue" id="mrs_01_1695__p9f45fba79c6f4d76869ee5d73e91ec9d"><b>HTTPS_ONLY</b></span> in <span class="filepath" id="mrs_01_1695__fecb99f1b05b34fb1bd31a1af292877b6"><b>core-site.xml</b></span> file. To avoid the error, replace <strong id="mrs_01_1695__a1b055bbfd26e4e1694a25d3bab8fb45b">webhdfs://</strong> with <strong id="mrs_01_1695__a402d6c2275bc48aa96ab123c3d401734">swebhdfs://</strong> in the file.</p>
+</div>
+<p id="mrs_01_1695__a2f2f0d8d75c94f1c8a6d4bc1ef8b884b">For example:</p>
+<p id="mrs_01_1695__a7bc12b26e89a4208be9f8d8585352fa5"><strong id="mrs_01_1695__b107551721101612">./hadoop distcp</strong> <span class="parmname" id="mrs_01_1695__pea37d42af9cb4e26b36834bfab3e838f"><b>swebhdfs://IP:PORT/testfile hdfs://IP:PORT/testfile1</b></span></p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1690.html">FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1696.html b/docs/mrs/component-operation-guide/mrs_01_1696.html
new file mode 100644
index 000000000..17c32e97f
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1696.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_1696"></a><a name="mrs_01_1696"></a>
+
+<h1 class="topictitle1">Why Does DataNode Fail to Start When the Number of Disks Specified by dfs.datanode.data.dir Equals dfs.datanode.failed.volumes.tolerated?</h1>
+<div id="body1597735018974"><div class="section" id="mrs_01_1696__s8206612f16be4a6f92eea8c5e96383e3"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1696__p14381621122310">If the number of disks specified by <strong id="mrs_01_1696__b1428733216233">dfs.datanode.data.dir</strong> is equal to the value of <strong id="mrs_01_1696__b1411710426232">dfs.datanode.failed.volumes.tolerated</strong>, DataNode startup will fail.</p>
+</div>
+<div class="section" id="mrs_01_1696__s647eb0200c3147c2a7cd490eaf9cb6a1"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1696__a597380f55da34ee6a024fbe462a3dab0">By default, the failure of a single disk will cause the HDFS DataNode process to shut down, which results in the NameNode scheduling additional replicas for each block that is present on the DataNode. This causes needless replications of blocks that reside on disks that have not failed.</p>
+<p id="mrs_01_1696__a3fb67365f00041f58f91c8cd4fc09402">To prevent this, you can configure DataNodes to tolerate the failure of dfs.data.dir directories; use the <span class="parmname" id="mrs_01_1696__p70285e88875442158f4c891d749d452f"><b>dfs.datanode.failed.volumes.tolerated</b></span> parameter in <span class="filepath" id="mrs_01_1696__f14a8d673c96e43aaa817eb838a7d2486"><b>hdfs-site.xml.</b></span> For example, if the value for this parameter is 3, the DataNode will only shut down after four or more data directories have failed. This value is respected on DataNode startup.</p>
+<p id="mrs_01_1696__a1b19b579ebd44be09df2d08cd8952468">When we are configuring tolerate volumes which should be always less than the configured volumes or else we can keep this as -1 which is equal to n-1 (where n is number of disks) then DataNode will not be shut down.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1690.html">FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1697.html b/docs/mrs/component-operation-guide/mrs_01_1697.html
new file mode 100644
index 000000000..85701d74c
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1697.html
@@ -0,0 +1,34 @@
+<a name="mrs_01_1697"></a><a name="mrs_01_1697"></a>
+
+<h1 class="topictitle1">Failed to Calculate the Capacity of a DataNode when Multiple data.dir Directories Are Configured in a Disk Partition</h1>
+<div id="body1597735019227"><div class="section" id="mrs_01_1697__sc5ac855dc13c4238ae97e288d3603be0"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1697__a85a7ea273178439ca07fca145a5a2a70">The capacity of a DataNode fails to calculate when multiple data.dir directories are configured in a disk partition.</p>
+</div>
+<div class="section" id="mrs_01_1697__sc10477ce58bf4114bd1b7e41c4e9518a"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1697__a5a86dbca5dc34817b419aa91a5eda2a7">Currently, the capacity is calculated based on disks, which is similar to the <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1697__cmdname74669281056">df</span></b></i> command in Linux. Ideally, users do not configure multiple data.dir directories in a disk partition. Otherwise, all data will be written to the same disk, greatly deteriorating the performance.</p>
+<p id="mrs_01_1697__a7e43ab20c83e4d6b92b1beae06a468b5">You are advised to configure them as below.</p>
+<p id="mrs_01_1697__adffd0a6cc3d04408b3ce840679e4b8ea">For example, if a node contains the following disks:</p>
+<pre class="screen" id="mrs_01_1697__se4303a5dbb2644e8aa5f7bdc077cf585">host-4:~ # df -h
+Filesystem      Size    Used    Avail    Use%   Mounted on
+/dev/sda1       352G   11G      324G    4%      /
+udev              190G    252K   190G    1%      /dev
+tmpfs             190G   72K      190G    1%     /dev/shm
+/dev/sdb1       2.7T    74G      2.5T      3%    /data1
+/dev/sdc1       2.7T    75G      2.5T      3%    /data2
+/dev/sdd1       2.7T    73G      2.5T      3%    /da</pre>
+<p id="mrs_01_1697__a9689806efc5e45079f73784cfe467ac1">Recommended configuration:</p>
+<pre class="screen" id="mrs_01_1697__se4c7cd09d99a4a70a7a5ef6a8a233fba">&lt;property&gt;
+&lt;name&gt;dfs.datanode.data.dir&lt;/name&gt;
+&lt;value&gt;/data1/datadir/,/data2/datadir,/data3/datadir&lt;/value&gt;
+&lt;/property&gt;</pre>
+<p id="mrs_01_1697__afb4c974feac845adb33a7babddbf67c7">Unrecommended configuration:</p>
+<pre class="screen" id="mrs_01_1697__s5b13f3dbf42641819f0b5336d2cd459c">&lt;property&gt;
+&lt;name&gt;dfs.datanode.data.dir&lt;/name&gt;
+&lt;value&gt;/data1/datadir1/,/data2/datadir1,/data3/datadir1,/data1/datadir2,data1/datadir3,/data2/datadir2,/data2/datadir3,/data3/datadir2,/data3/datadir3&lt;/value&gt;
+&lt;/property&gt;</pre>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1690.html">FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1698.html b/docs/mrs/component-operation-guide/mrs_01_1698.html
new file mode 100644
index 000000000..379297b62
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1698.html
@@ -0,0 +1,18 @@
+<a name="mrs_01_1698"></a><a name="mrs_01_1698"></a>
+
+<h1 class="topictitle1">Standby NameNode Fails to Be Restarted When the System Is Powered off During Metadata (Namespace) Storage</h1>
+<div id="body1597735019867"><div class="section" id="mrs_01_1698__s120726c9d7074f3c8547ddd703b79dd4"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1698__a5e2cba8452a64d99b003ea180a91ef5e">When the standby NameNode is powered off during metadata (namespace) storage, it fails to be started and the following error information is displayed.</p>
+<p id="mrs_01_1698__aca752e7394e946099aa6962a131879ad"><span><img id="mrs_01_1698__ib460829c695941438e271de0339b227f" src="en-us_image_0000001349169981.png"></span></p>
+</div>
+<div class="section" id="mrs_01_1698__s315dccc16fd84acca7252271424df31c"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1698__a6f996118ba6f45c4bda97c61b30f2f00">When the standby NameNode is powered off during metadata (namespace) storage, it fails to be started and the MD5 file is damaged. Remove the damaged fsimage and start the standby NameNode to rectify the fault. After the rectification, the standby NameNode loads the previous fsimage and reproduces all edits.</p>
+<p id="mrs_01_1698__ab3e6269aead74698ae74d66ea0c8f97b">Recovery procedure:</p>
+<ol id="mrs_01_1698__oe41710d26efc455f8bffc518f92516a9"><li id="mrs_01_1698__la10077be3e644b40827b781f145ffce5">Run the following command to remove the damaged fsimage:<p id="mrs_01_1698__a0bcd9a5bca2645a6897b56c1766f390a"><a name="mrs_01_1698__la10077be3e644b40827b781f145ffce5"></a><a name="la10077be3e644b40827b781f145ffce5"></a><strong id="mrs_01_1698__af46850780a404482a0a94fdb01f5a700">rm -rf ${BIGDATA_DATA_HOME}/namenode/current/fsimage_0000000000000096</strong></p>
+</li><li id="mrs_01_1698__l0b2582a9e15646d4b8e02db396eed084">Start the standby NameNode.</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1690.html">FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1699.html b/docs/mrs/component-operation-guide/mrs_01_1699.html
new file mode 100644
index 000000000..d6f2570d4
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1699.html
@@ -0,0 +1,15 @@
+<a name="mrs_01_1699"></a><a name="mrs_01_1699"></a>
+
+<h1 class="topictitle1">Why Data in the Buffer Is Lost If a Power Outage Occurs During Storage of Small Files</h1>
+<div id="body1597735019868"><div class="section" id="mrs_01_1699__s874be7dc05624b8e908f9bf300d8f74a"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1699__a731bf6e5a2864678af70ebe43e1faa89">Why data in the buffer is lost if a power outage occurs during storage of small files?</p>
+</div>
+<div class="section" id="mrs_01_1699__sff1240399862417fb13286737f1b53fe"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1699__ac90a61597c9744c283142e2c140a0670">Because of a power outage, the blocks in the buffer are not written to the disk immediately after the write operation is completed. To enable synchronization of blocks to the disk, set <span class="parmname" id="mrs_01_1699__pc887c6f2c5e74f33a546bd0c6ac5d6db"><b>dfs.datanode.synconclose</b></span> to <span class="parmvalue" id="mrs_01_1699__p2de144f57e934353a083554db848d76f"><b>true</b></span> in the <span class="filepath" id="mrs_01_1699__ff1ead4f7ecd34bae9da7b128d5d712dd"><b>hdfs-site.xml</b></span> file.</p>
+<p id="mrs_01_1699__af1b4ae0b1e1f4cbcbc66025f05ff4407">By default, <span class="parmname" id="mrs_01_1699__p7fa187110ed2400cb5e01c9c45bccd56"><b>dfs.datanode.synconclose</b></span> is set to <span class="parmvalue" id="mrs_01_1699__pd1c079f7818b45e3beda7cd448fe5138"><b>false</b></span>. This improves the performance but can cause a buffer data loss in the case of a power outage, and therefore, it is recommended that <span class="parmname" id="mrs_01_1699__p9f43668eab734b3a924156eb9e824d4b"><b>dfs.datanode.synconclose</b></span> be set to <span class="parmvalue" id="mrs_01_1699__p603178ac64074fb0b947d77f011f3b58"><b>true</b></span> even if this may affect the performance. You can determine whether to enable the synchronization function based on your actual situation.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1690.html">FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1700.html b/docs/mrs/component-operation-guide/mrs_01_1700.html
new file mode 100644
index 000000000..67d87d258
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1700.html
@@ -0,0 +1,25 @@
+<a name="mrs_01_1700"></a><a name="mrs_01_1700"></a>
+
+<h1 class="topictitle1">Why Does Array Border-crossing Occur During FileInputFormat Split?</h1>
+<div id="body1597735020141"><div class="section" id="mrs_01_1700__sd6cfe94a8277481e9cebd708c59d735f"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1700__ac1d0f85c88c549a19f990308df4feef7">When HDFS calls the FileInputFormat getSplit method, the ArrayIndexOutOfBoundsException: 0 appears in the following log:</p>
+<pre class="screen" id="mrs_01_1700__s7645825abdf242d89795e426b4163991"><span id="mrs_01_1700__ph261215351772">java.lang.ArrayIndexOutOfBoundsException: 0</span>
+<span id="mrs_01_1700__ph1061283511712">at org.apache.hadoop.mapred.FileInputFormat.identifyHosts(FileInputFormat.java:708)</span>
+<span id="mrs_01_1700__ph7612935177">at org.apache.hadoop.mapred.FileInputFormat.getSplitHostsAndCachedHosts(FileInputFormat.java:675)</span>
+<span id="mrs_01_1700__ph86131735674">at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:359)</span>
+<span id="mrs_01_1700__ph861315356710">at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:210)</span>
+<span id="mrs_01_1700__ph261317359710">at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)</span>
+<span id="mrs_01_1700__ph061414357710">at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)</span>
+<span id="mrs_01_1700__ph13614435872">at scala.Option.getOrElse(Option.scala:120)</span>
+<span id="mrs_01_1700__ph10614535375">at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)</span>
+<span id="mrs_01_1700__ph86149351572">at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)</span></pre>
+</div>
+<div class="section" id="mrs_01_1700__sbb1b6b67f3d8491f8579feeb968fbd5c"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1700__a159ffeeaa3a84a83b3d03bac23ce2660">The elements of each block correspondent frame are as below: /default/rack0/:,/default/rack0/datanodeip:port.</p>
+<p id="mrs_01_1700__a3f193adfb98e4d8ba2e63a645109fb87">The problem is due to a block damage or loss, making the block correspondent machine ip and port become null. Use <strong id="mrs_01_1700__b13503171315181">hdfs fsck</strong> to check the file blocks health state when this problem occurs, and remove damaged block or restore the missing block to re-computing the task.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1690.html">FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1701.html b/docs/mrs/component-operation-guide/mrs_01_1701.html
new file mode 100644
index 000000000..d235595a6
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1701.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_1701"></a><a name="mrs_01_1701"></a>
+
+<h1 class="topictitle1">Why Is the Storage Type of File Copies DISK When the Tiered Storage Policy Is LAZY_PERSIST?</h1>
+<div id="body1597735020143"><div class="section" id="mrs_01_1701__s0285524a0dcf4fbca4d0d61c952f4ac2"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1701__a3828b8f75c0d40c498c76d78acfd2528">When the storage policy of the file is set to <strong id="mrs_01_1701__b9679464521624">LAZY_PERSIST</strong>, the storage type of the first replica should be <strong id="mrs_01_1701__b95391203421624">RAM_DISK</strong>, and the storage type of other replicas should be <strong id="mrs_01_1701__b173779388021624">DISK</strong>.</p>
+<p id="mrs_01_1701__ad3c200608bfe42ed905ee7ea0ef7561e">But why is the storage type of all copies shown as <strong id="mrs_01_1701__b195930953121624">DISK</strong> actually?</p>
+</div>
+<div class="section" id="mrs_01_1701__s8b5f8d882f714696b2043d414361bda5"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1701__p33162912333">When a user writes into a file whose storage policy is <strong id="mrs_01_1701__b13235966721624">LAZY_PERSIST</strong>, three replicas are written one by one. The first replica is preferentially written into the DataNode where the client is located. The storage type of all replicas is <strong id="mrs_01_1701__b204200314021624">DISK</strong> in the following scenarios:</p>
+<ul id="mrs_01_1701__ul11988191918336"><li id="mrs_01_1701__li1998815191334">If the DataNode where the client is located does not have the RAM disk, the first replica is written into the disk of the DataNode where the client is located, and other replicas are written into the disks of other nodes.</li><li id="mrs_01_1701__li1994215409341">If the DataNode where the client is located has the RAM disk, and the value of <strong id="mrs_01_1701__b26255955721624">dfs.datanode.max.locked.memory</strong> is not specified or smaller than the value of <strong id="mrs_01_1701__b14369160921624">dfs.blocksize</strong>, the first replica is written into the disk of the DataNode where the client is located, and other replicas are written into the disks of other nodes.</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1690.html">FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1702.html b/docs/mrs/component-operation-guide/mrs_01_1702.html
new file mode 100644
index 000000000..463593823
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1702.html
@@ -0,0 +1,48 @@
+<a name="mrs_01_1702"></a><a name="mrs_01_1702"></a>
+
+<h1 class="topictitle1">The HDFS Client Is Unresponsive When the NameNode Is Overloaded for a Long Time</h1>
+<div id="body1597735020145"><div class="section" id="mrs_01_1702__s6f23c0269985441a9b49c1a8d29d9848"><h4 class="sectiontitle"><strong id="mrs_01_1702__ac5e298b1e661431980a8b5c49a72968e">Question</strong></h4><p id="mrs_01_1702__a0d92099a193543b8bdfa91026e946ffb">When the NameNode node is overloaded (100% of the CPU is occupied), the NameNode is unresponsive. The HDFS clients that are connected to the overloaded NameNode fail to run properly. However, the HDFS clients that are newly connected to the NameNode will be switched to a backup NameNode and run properly.</p>
+</div>
+<div class="section" id="mrs_01_1702__s9f3828a8da1949ef8489920f4a8311c2"><h4 class="sectiontitle"><strong id="mrs_01_1702__ab971a756b2624940827048c28925db51">Answer</strong></h4><p id="mrs_01_1702__a723e58adc5954f3d970612b8de5ce263">The default configuration must be used (as described in <a href="#mrs_01_1702__tf99cac42ab7947b3bffe186b74e79d38">Table 1</a>) when the error preceding described occurs: the <strong id="mrs_01_1702__a89402a848dc24f19a6610bfa88adf1f6">keep alive </strong>mechanism is enabled for the RPC connection between the HDFS client and the NameNode. The <strong id="mrs_01_1702__abcd8a7b104b24899befbe33d32306b22">keep alive</strong> mechanism will keep the HDFS client waiting for the response from server and prevent the connection from being out timed, causing the unresponsiveness of the HDFS client.</p>
+<p id="mrs_01_1702__a8c84dc27f0b94952a2b623f63d2278ad">Perform the following operations to the unresponsive HDFS client:</p>
+<ul id="mrs_01_1702__u2a6ee0d37e8c41ca9ed2aead0d4db844"><li id="mrs_01_1702__l7e344d26c2804aa0babff5e71fd8ef5a">Leave the HDFS client waiting. Once the CPU usage of the node where NameNode locates drops, the NameNode will obtain CPU resources and the HDFS client will receive a response.</li><li id="mrs_01_1702__l37d7b8e86db2435cadb792f1e5947168">If you do not want to leave the HDFS client running, restart the application where the HDFS client locates to reconnect the HDFS client to another idle NameNode.</li></ul>
+<p id="mrs_01_1702__a127bf675df5b41b286469426de1f56c5">Procedure:</p>
+<p id="mrs_01_1702__aedfc3d2d2b6446dba666275890c0e41d">Configure the following parameters in the <strong id="mrs_01_1702__a32523fd358a84a98a905db068935efc6">c</strong><span class="filepath" id="mrs_01_1702__f6ba7d36919f348a3a134c329107a6525"><b>ore-site.xml</b></span> file on the client.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1702__tf99cac42ab7947b3bffe186b74e79d38"></a><a name="tf99cac42ab7947b3bffe186b74e79d38"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1702__tf99cac42ab7947b3bffe186b74e79d38" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1702__rad1b05b07b104269902485c33d5e35f6"><th align="left" class="cellrowborder" valign="top" width="17%" id="mcps1.3.2.7.2.4.1.1"><p id="mrs_01_1702__a69a528b3927f44fe9ec634d2e8e2be20"><strong id="mrs_01_1702__ae4aa3f8a6a154b1f9ba0086526601807">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="67%" id="mcps1.3.2.7.2.4.1.2"><p id="mrs_01_1702__aac40ee77b5534701a79fca92d13c68a1"><strong id="mrs_01_1702__affa17b983df34448afe0166ac4afa5bc">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="16%" id="mcps1.3.2.7.2.4.1.3"><p id="mrs_01_1702__aeeffd33deec84e71935c75ddc5efd9eb"><strong id="mrs_01_1702__afd961f27ae5743398245a00534965336">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1702__ra7d68ac9d89145149bccb2578ca9c2fc"><td class="cellrowborder" valign="top" width="17%" headers="mcps1.3.2.7.2.4.1.1 "><p id="mrs_01_1702__a2b522333fd0540dfade644cec91f83e6">ipc.client.ping</p>
+</td>
+<td class="cellrowborder" valign="top" width="67%" headers="mcps1.3.2.7.2.4.1.2 "><p id="mrs_01_1702__a930ed8833899485590d2f8215335ad8d">If the <span class="parmname" id="mrs_01_1702__p833c8e6b5c144809b5df7dfae3fb86f3"><b>ipc.client.ping</b></span> parameter is configured to <span class="parmvalue" id="mrs_01_1702__pab9177629fd14700a473ee7e327fd71a"><b>true</b></span>, the HDFS client will wait for the response from the server and periodically send the <strong id="mrs_01_1702__a5d8e09f7300a4a888a54219368c10cb9">ping</strong> message to avoid disconnection caused by <strong id="mrs_01_1702__ac21e72c4d9a34443828de712d50f1075">tcp timeout</strong>.</p>
+<p id="mrs_01_1702__a280af80aee174c9b8687f9dad1d04d88">If the <span class="parmname" id="mrs_01_1702__p391f143339e24f1187b60054925812cd"><b>ipc.client.ping</b></span> parameter is configured to <span class="parmvalue" id="mrs_01_1702__pde96362814ff4c54b6b9c508187ff5d1"><b>false</b></span>, the HDFS client will set the value of <span class="parmname" id="mrs_01_1702__pfe9daa97322e473097b30eb6c41a937a"><b>ipc.ping.interval</b></span><strong id="mrs_01_1702__ac413e3397ff3477392193850f6ed6e1a"> </strong>as the timeout time. If no response is received within that time, timeout occurs.</p>
+<p id="mrs_01_1702__a4ed8f59d0e37479da529dae9849324f2">To avoid the unresponsiveness of HDFS when the NameNode is overloaded for a long time, you are advised to set the parameter to <span class="parmvalue" id="mrs_01_1702__p79017f961e5046fd86206117c27fc056"><b>false</b></span>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.2.7.2.4.1.3 "><p id="mrs_01_1702__a8e870fc4a82943b98f39172d4fa19eb0">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1702__r250b5a537f7042128505f5176e139f5e"><td class="cellrowborder" valign="top" width="17%" headers="mcps1.3.2.7.2.4.1.1 "><p id="mrs_01_1702__adddaa0756fc349d381e4b47763899ce1">ipc.ping.interval</p>
+</td>
+<td class="cellrowborder" valign="top" width="67%" headers="mcps1.3.2.7.2.4.1.2 "><p id="mrs_01_1702__aebd48ca3ae2148d7846829db553b280a">If the value of <span class="parmname" id="mrs_01_1702__p25908c45480c44d28ee5ceb6ca4e8e65"><b>ipc.client.ping</b></span> is <span class="parmvalue" id="mrs_01_1702__p6eb0704a1775408dba4ef75d3dd34a2f"><b>true</b></span>, <span class="parmname" id="mrs_01_1702__pf2dfcdb0e3174725ae0a4855a9ecb5b8"><b>ipc.ping.interval</b></span> indicates the interval between sending the ping messages.</p>
+<p id="mrs_01_1702__af99967634770439db86dcf67ffc3caf1">If the value of <span class="parmname" id="mrs_01_1702__p5a52a4677ee049928d83547474534ff6"><b>ipc.client.ping</b></span> is <span class="parmvalue" id="mrs_01_1702__pf70998214ef442d9b1858207618f2d29"><b>false</b></span>, <span class="parmname" id="mrs_01_1702__pd6feaa02436f498fbd4f0dffd99352e4"><b>ipc.ping.interval</b></span> indicates the timeout time for connection.</p>
+<p id="mrs_01_1702__a6d878cb2e35746299dd9c609ff131dbf">To avoid the unresponsiveness of HDFS when the NameNode is overloaded for a long time, you are advised to set the parameter to a large value, for example <span class="parmvalue" id="mrs_01_1702__p98c1ded5d29b4090b27d9b3dbfc82563"><b>900000</b></span> (unit ms) to avoid timeout when the server is busy.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16%" headers="mcps1.3.2.7.2.4.1.3 "><p id="mrs_01_1702__a5db00dcec7c147df9c83f3b8219f76da">60000</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1690.html">FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1703.html b/docs/mrs/component-operation-guide/mrs_01_1703.html
new file mode 100644
index 000000000..acceea928
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1703.html
@@ -0,0 +1,20 @@
+<a name="mrs_01_1703"></a><a name="mrs_01_1703"></a>
+
+<h1 class="topictitle1">Can I Delete or Modify the Data Storage Directory in DataNode?</h1>
+<div id="body1597735020146"><div class="section" id="mrs_01_1703__se7b14f3039db4a1dbf837c4b523242a1"><h4 class="sectiontitle">Question</h4><ul id="mrs_01_1703__uf68b1c28a676476284d72177d3a0972d"><li id="mrs_01_1703__li111081257539">In DataNode, the storage directory of data blocks is specified by <span class="parmname" id="mrs_01_1703__parmname121077575317"><b>dfs.datanode.data.dir</b></span><strong id="mrs_01_1703__b1410819519534">. </strong>Can I modify <span class="parmname" id="mrs_01_1703__parmname131087575318"><b>dfs.datanode.data.dir</b></span> to<strong id="mrs_01_1703__b15108115205318"> </strong>modify the data storage directory?</li><li id="mrs_01_1703__li1810916515538">Can I modify files under the data storage directory?</li></ul>
+</div>
+<div class="section" id="mrs_01_1703__s63ef049315f640ea9a6c0637a7d81c18"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1703__p41097595319">During the system installation, you need to configure the <span class="parmname" id="mrs_01_1703__parmname1510916575314"><b>dfs.datanode.data.dir</b></span> parameter to specify one or more root directories.</p>
+<ul id="mrs_01_1703__u9c1adbff73ae4e948750227d5859e35c"><li id="mrs_01_1703__li610916515318">During the system installation, you need to configure the dfs.datanode.data.dir parameter to specify one or more root directories.</li></ul>
+<ul id="mrs_01_1703__u70d71d1ceb4a4bac92ae1e388d78dd84"><li id="mrs_01_1703__li1710915513537">Exercise caution when modifying dfs.datanode.data.dir. You can configure this parameter to add a new data root directory.</li><li id="mrs_01_1703__li20110135125312">Do not modify or delete data blocks in the storage directory. Otherwise, the data blocks will lose.</li></ul>
+<div class="note" id="mrs_01_1703__n11a2db729d6c4bf4a4e4ef5351eb02da"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1703__p181102510537">Similarly, do not delete the storage directory, or modify or delete data blocks under the directory using the following parameters:</p>
+<ul id="mrs_01_1703__u7368cfff98a440e7ac92d334c38119c9"><li id="mrs_01_1703__li511012518531">dfs.namenode.edits.dir</li><li id="mrs_01_1703__li61106585314">dfs.namenode.name.dir</li><li id="mrs_01_1703__li1411025145319">dfs.journalnode.edits.dir</li></ul>
+</div></div>
+<p id="mrs_01_1703__p103601426105318"></p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1690.html">FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1704.html b/docs/mrs/component-operation-guide/mrs_01_1704.html
new file mode 100644
index 000000000..749c157dd
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1704.html
@@ -0,0 +1,30 @@
+<a name="mrs_01_1704"></a><a name="mrs_01_1704"></a>
+
+<h1 class="topictitle1">Blocks Miss on the NameNode UI After the Successful Rollback</h1>
+<div id="body1597735020147"><div class="section" id="mrs_01_1704__sa624e66f73de474f869226dbae19378f"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1704__a9956a209f73044eaa9487f9ffd1dc0c7">Why are some blocks missing on the NameNode UI after the rollback is successful?</p>
+</div>
+<div class="section" id="mrs_01_1704__s8976d4be6ba945de8d6d74716f010a66"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1704__a2d14dfcbce3140e48b5d83e048b3c6c6">This problem occurs because blocks with new IDs or genstamps may exist on the DataNode. The block files in the DataNode may have different generation flags and lengths from those in the rollback images of the NameNode. Therefore, the NameNode rejects these blocks in the DataNode and marks the files as damaged.</p>
+<p id="mrs_01_1704__afdc8b29bd84b4dc6ae1daea95496477f"><strong id="mrs_01_1704__b562319015316">Scenarios:</strong></p>
+<ol id="mrs_01_1704__o4392d4429b874535bf623f51a51b0911"><li id="mrs_01_1704__l2deaf26633c9415883811c46b72d7792">Before an upgrade:<p id="mrs_01_1704__a9a6d5e2590a146b58d3c41110a39390c"><a name="mrs_01_1704__l2deaf26633c9415883811c46b72d7792"></a><a name="l2deaf26633c9415883811c46b72d7792"></a>Client A writes some data to file X. (Assume A bytes are written.)</p>
+</li></ol><ol start="2" id="mrs_01_1704__oc079ae8bbdde4adca0312011cba828b7"><li id="mrs_01_1704__lc9f7a83f598747dca2456d054a7f68b5">During an upgrade:<p id="mrs_01_1704__aff719d138deb433fa4a995376302ca6a"><a name="mrs_01_1704__lc9f7a83f598747dca2456d054a7f68b5"></a><a name="lc9f7a83f598747dca2456d054a7f68b5"></a>Client A still writes data to file X. (The data in the file is A + B bytes.)</p>
+</li></ol><ol start="3" id="mrs_01_1704__o7d5cd5776fcf4f4a92f794ef674c1029"><li id="mrs_01_1704__lff834b100a98408bad23142949f992ff">After an upgrade:<p id="mrs_01_1704__a1987ec7ce8d149e49c4147c3d04c9f7e"><a name="mrs_01_1704__lff834b100a98408bad23142949f992ff"></a><a name="lff834b100a98408bad23142949f992ff"></a>Client A completes the file writing. The final data is A + B bytes.</p>
+</li></ol><ol start="4" id="mrs_01_1704__of4add85937e74115a46aac2849883140"><li id="mrs_01_1704__l4ce5b56baaf64fe3b6f485ed1cf14e72">Rollback started:<p id="mrs_01_1704__a5ea3dd034dd842e59aa4c0cc0f11421c"><a name="mrs_01_1704__l4ce5b56baaf64fe3b6f485ed1cf14e72"></a><a name="l4ce5b56baaf64fe3b6f485ed1cf14e72"></a>The status will be rolled back to the status before the upgrade. That is, file X in NameNode will have A bytes, but block files in DataNode will have A + B bytes.</p>
+</li></ol>
+<p id="mrs_01_1704__aa9c8f7e180ab421180624a665c55e141"><strong id="mrs_01_1704__aee0844791a934a74b75b6506971890a6">Recovery procedure:</strong></p>
+<ol id="mrs_01_1704__o718ba4c5f8184090a47a6aab8c24682b"><li id="mrs_01_1704__l8ee786da2dd345d1bd602529217f40f1">Obtain the list of damaged files from NameNode web UI or run the following command to obtain:<p id="mrs_01_1704__p0255175415518"><a name="mrs_01_1704__l8ee786da2dd345d1bd602529217f40f1"></a><a name="l8ee786da2dd345d1bd602529217f40f1"></a><strong id="mrs_01_1704__b735115575520">hdfs fsck &lt;filepath&gt; -list-corruptfileblocks</strong></p>
+</li><li id="mrs_01_1704__l3adfa646298f4131ad6b251b42798546">Run the following command to delete unnecessary files:<p id="mrs_01_1704__p1850153766"><a name="mrs_01_1704__l3adfa646298f4131ad6b251b42798546"></a><a name="l3adfa646298f4131ad6b251b42798546"></a><strong id="mrs_01_1704__b1733112614611">hdfs fsck &lt;corrupt file path&gt; - delete</strong></p>
+<div class="note" id="mrs_01_1704__note1891712119618"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1704__p1538042863618">Deleting a file is a high-risk operation. Ensure that the files are no longer needed before performing this operation.</p>
+</div></div>
+</li><li id="mrs_01_1704__l488bee33a18b4ab19f8c82717da88edb">For the required files, run the <strong id="mrs_01_1704__b8528062828811">fsck</strong> command to obtain the block list and block sequence.<ul id="mrs_01_1704__u37d15e6b4281455da873345b24a95f1f"><li id="mrs_01_1704__l5d9fd8a7b53d4c168858d4702a6cb34b">In the block sequence table provided, use the block ID to search for the data directory in the DataNode and download the corresponding block from the DataNode.</li><li id="mrs_01_1704__l15fb7765a4bc410d8db1ce1167db6b92">Write all such block files in appending mode based on the sequence to construct the original file.<p id="mrs_01_1704__a0753fc852ea948a6a6057a4bfe6cb681"><a name="mrs_01_1704__l15fb7765a4bc410d8db1ce1167db6b92"></a><a name="l15fb7765a4bc410d8db1ce1167db6b92"></a>Example:</p>
+<p id="mrs_01_1704__a7db8708add084ff89333c53bf391272b">File 1--&gt; blk_1, blk_2, blk_3</p>
+<p id="mrs_01_1704__ad8ecbeaa679e417ab4dc8942adb39aa6">Create a file by combining the contents of all three block files from the same sequence.</p>
+</li><li id="mrs_01_1704__ldf2cf603a313432c8330e4406f9ce1fb">Delete the old file from HDFS and rewrite the new file.</li></ul>
+</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1690.html">FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1705.html b/docs/mrs/component-operation-guide/mrs_01_1705.html
new file mode 100644
index 000000000..ca9688291
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1705.html
@@ -0,0 +1,53 @@
+<a name="mrs_01_1705"></a><a name="mrs_01_1705"></a>
+
+<h1 class="topictitle1">Why Is "java.net.SocketException: No buffer space available" Reported When Data Is Written to HDFS</h1>
+<div id="body1597735020370"><div class="section" id="mrs_01_1705__sf1bffdf522534ef49385deefa780a9d6"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1705__a691e81a7bc704787a145fbece7f67be9">Why is an "java.net.SocketException: No buffer space available" exception reported when data is written to HDFS?</p>
+<p id="mrs_01_1705__a4f6bedf2bc054b8b95d85bcfa41c3cb8">This problem occurs when files are written to the HDFS. Check the error logs of the client and DataNode.</p>
+<p id="mrs_01_1705__a97f0892a7dd84b3599376f1cc2838758">The client logs are as follows:</p>
+<div class="fignone" id="mrs_01_1705__f4e463f46c2eb4068a75effe4abc284dd"><span class="figcap"><b>Figure 1 </b>Client logs</span><br><span><img id="mrs_01_1705__icb7726e9a0c249f9a2118ccb51f07aa8" src="en-us_image_0000001295930408.jpg"></span></div>
+<p id="mrs_01_1705__aac863f013a6d4388a4de47a6247bb848">DataNode logs are as follows:</p>
+<pre class="screen" id="mrs_01_1705__sd3ecad5a11e44d94b60cfc15c561d43f">2017-07-24 20:43:39,269 | ERROR | DataXceiver for client DFSClient_NONMAPREDUCE_996005058_86
+ at /192.168.164.155:40214 [Receiving block BP-1287143557-192.168.199.6-1500707719940:blk_1074269754_528941 with io weight 10] | DataNode{data=FSDataset{dirpath='[/srv/BigData/hadoop/data1/dn/current, /srv/BigData/hadoop/data2/dn/current, /srv/BigData/hadoop/data3/dn/current, /srv/BigData/hadoop/data4/dn/current, /srv/BigData/hadoop/data5/dn/current, /srv/BigData/hadoop/data6/dn/current, /srv/BigData/hadoop/data7/dn/current]'}, localName='192-168-164-155:9866', datanodeUuid='a013e29c-4e72-400c-bc7b-bbbf0799604c', xmitsInProgress=0}:Exception transfering block BP-1287143557-192.168.199.6-1500707719940:blk_1074269754_528941 to mirror 192.168.202.99:9866: java.net.SocketException: No buffer space available | DataXceiver.java:870 
+2017-07-24 20:43:39,269 | INFO | DataXceiver for client DFSClient_NONMAPREDUCE_996005058_86
+ at /192.168.164.155:40214 [Receiving block BP-1287143557-192.168.199.6-1500707719940:blk_1074269754_528941 with io weight 10] | opWriteBlock BP-1287143557-192.168.199.6-1500707719940:blk_1074269754_528941 received exception java.net.SocketException: No buffer space available | DataXceiver.java:933 
+2017-07-24 20:43:39,270 | ERROR | DataXceiver for client DFSClient_NONMAPREDUCE_996005058_86
+ at /192.168.164.155:40214 [Receiving block BP-1287143557-192.168.199.6-1500707719940:blk_1074269754_528941 with io weight 10] | 192-168-164-155:9866:DataXceiver error processing WRITE_BLOCK operation src: /192.168.164.155:40214 dst: /192.168.164.155:9866 | DataXceiver.java:304 <strong id="mrs_01_1705__a8d2b0b938abf4a76952c9ca12e94726e">java.net.SocketException: No buffer space available</strong>
+ at sun.nio.ch.Net.connect0(Native Method)
+ at sun.nio.ch.Net.connect(Net.java:454)
+ at sun.nio.ch.Net.connect(Net.java:446)
+ at sun.nio.ch.SocketChannelImpl.connect(SocketChannelImpl.java:648)
+ at org.apache.hadoop.net.SocketIOWithTimeout.connect(SocketIOWithTimeout.java:192)
+ at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:531)
+ at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:495)
+ at org.apache.hadoop.hdfs.server.datanode.DataXceiver.writeBlock(DataXceiver.java:800)
+ at org.apache.hadoop.hdfs.protocol.datatransfer.Receiver.opWriteBlock(Receiver.java:138)
+ at org.apache.hadoop.hdfs.protocol.datatransfer.Receiver.processOp(Receiver.java:74)
+ at org.apache.hadoop.hdfs.server.datanode.DataXceiver.run(DataXceiver.java:265)
+ at java.lang.Thread.run(Thread.java:748)</pre>
+</div>
+<div class="section" id="mrs_01_1705__sab5f82cdf20940ecaa267d1738e8582b"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1705__af6f767124ba14658944e2232c33230d3">The preceding problem may be caused by network memory exhaustion.</p>
+<p id="mrs_01_1705__ac5618cf7b50444e582d0ce7d528921ad">You can increase the threshold of the network device based on the actual scenario.</p>
+<p id="mrs_01_1705__a610096cf576a4d6db7f3ea6022c632c7">Example:</p>
+<pre class="screen" id="mrs_01_1705__sfb7a32b155f14cc892398a5f42bb756d">[root@xxxxx ~]# cat /proc/sys/net/ipv4/neigh/default/gc_thresh*
+128
+512
+1024
+[root@xxxxx ~]# echo 512 &gt; /proc/sys/net/ipv4/neigh/default/gc_thresh1
+[root@xxxxx ~]# echo 2048 &gt; /proc/sys/net/ipv4/neigh/default/gc_thresh2
+[root@xxxxx ~]# echo 4096 &gt; /proc/sys/net/ipv4/neigh/default/gc_thresh3
+[root@xxxxx ~]# cat /proc/sys/net/ipv4/neigh/default/gc_thresh*
+512
+2048
+4096</pre>
+<p id="mrs_01_1705__a7245840b108f40d4a1d36c4b6bdc7c85">You can also add the following parameters to the <strong id="mrs_01_1705__b86043948722533">/etc/sysctl.conf</strong> file. The configuration takes effect even if the host is restarted.</p>
+<pre class="screen" id="mrs_01_1705__s44e6a0637e0b415692c057cf05d33607">net.ipv4.neigh.default.gc_thresh1 = 512
+net.ipv4.neigh.default.gc_thresh2 = 2048
+net.ipv4.neigh.default.gc_thresh3 = 4096</pre>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1690.html">FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1706.html b/docs/mrs/component-operation-guide/mrs_01_1706.html
new file mode 100644
index 000000000..63e8cc3b3
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1706.html
@@ -0,0 +1,30 @@
+<a name="mrs_01_1706"></a><a name="mrs_01_1706"></a>
+
+<h1 class="topictitle1">Why are There Two Standby NameNodes After the active NameNode Is Restarted?</h1>
+<div id="body1597735020372"><div class="section" id="mrs_01_1706__sf0597189331a41efbb030be1e23a08ae"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1706__a3bd025bd788d419e81ad7b388b688c9c">Why are there two standby NameNodes after the active NameNode is restarted?</p>
+<p id="mrs_01_1706__aee738fb892814a499fbd1665595fa9c8">When this problem occurs, check the ZooKeeper and ZooKeeper FC logs. You can find that the sessions used for the communication between the ZooKeeper server and client (ZKFC) are inconsistent. The session ID of the ZooKeeper server is <strong id="mrs_01_1706__b8404103343117">0x164cb2b3e4b36ae4</strong>, and the session ID of the ZooKeeper FC is <strong id="mrs_01_1706__b17932439123113">0x144cb2b3e4b36ae4</strong>. Such inconsistency means that the data interaction between the ZooKeeper server and ZKFC fails.</p>
+<p id="mrs_01_1706__a220a79e8a2544003a818e7901f9d83b2">Content of the ZooKeeper log is as follows:</p>
+<pre class="screen" id="mrs_01_1706__sf3592e3ab65c4c33b60a1e53f6ba993b">2015-04-15 21:24:54,257 | INFO | CommitProcessor:22 | Established session 0x164cb2b3e4b36ae4 with negotiated timeout 45000 for client /192.168.0.117:44586 | org.apache.zookeeper.server.ZooKeeperServer.finishSessionInit(ZooKeeperServer.java:623)
+2015-04-15 21:24:54,261 | INFO | NIOServerCxn.Factory:192-168-0-114/192.168.0.114:2181 | Successfully authenticated client: authenticationID=hdfs/hadoop@<em id="mrs_01_1706__i1120962517100">&lt;System domain name&gt;</em>; authorizationID=hdfs/hadoop@<em id="mrs_01_1706__i18992104512437">&lt;System domain name&gt;</em>. | org.apache.zookeeper.server.auth.SaslServerCallbackHandler.handleAuthorizeCallback(SaslServerCallbackHandler.java:118)
+2015-04-15 21:24:54,261 | INFO | NIOServerCxn.Factory:192-168-0-114/192.168.0.114:2181 | Setting authorizedID: hdfs/hadoop@<em id="mrs_01_1706__i1418865813432">&lt;System domain name&gt;</em> | org.apache.zookeeper.server.auth.SaslServerCallbackHandler.handleAuthorizeCallback(SaslServerCallbackHandler.java:134)
+2015-04-15 21:24:54,261 | INFO | NIOServerCxn.Factory:192-168-0-114/192.168.0.114:2181 | adding SASL authorization for authorizationID: hdfs/hadoop@<em id="mrs_01_1706__i1218687441">&lt;System domain name&gt;</em> | org.apache.zookeeper.server.ZooKeeperServer.processSasl(ZooKeeperServer.java:1009)
+2015-04-15 21:24:54,262 | INFO | ProcessThread(sid:22 cport:-1): | Got user-level KeeperException when processing <strong id="mrs_01_1706__a26a23c1cc62a42bab847d852c1f40f88">sessionid:0x164cb2b3e4b36ae4</strong> type:create cxid:0x3 zxid:0x20009fafc txntype:-1 reqpath:n/a Error Path:/hadoop-ha/hacluster/ActiveStandbyElectorLock Error:KeeperErrorCode = NodeExists for /hadoop-ha/hacluster/ActiveStandbyElectorLock | org.apache.zookeeper.server.PrepRequestProcessor.pRequest(PrepRequestProcessor.java:648)</pre>
+<p id="mrs_01_1706__a9b55631b1a3b409fad980871af937250">Content of the ZKFC log is as follows:</p>
+<pre class="screen" id="mrs_01_1706__s7f88de17a54e4fc1a7a093f4d6bff603">2015-04-15 21:24:54,237 | INFO | main-SendThread(192-168-0-114:2181) | Socket connection established to 192-168-0-114/192.168.0.114:2181, initiating session | org.apache.zookeeper.ClientCnxn$SendThread.primeConnection(ClientCnxn.java:854)
+2015-04-15 21:24:54,257 | INFO | main-SendThread(192-168-0-114:2181) | Session establishment complete on server 192-168-0-114/192.168.0.114:2181, <strong id="mrs_01_1706__ab4772012f9a347288e70df0408c2885e">sessionid = 0x144cb2b3e4b36ae4</strong> , negotiated timeout = 45000 | org.apache.zookeeper.ClientCnxn$SendThread.onConnected(ClientCnxn.java:1259)
+2015-04-15 21:24:54,260 | INFO | main-EventThread | EventThread shut down | org.apache.zookeeper.ClientCnxn$EventThread.run(ClientCnxn.java:512)
+2015-04-15 21:24:54,262 | INFO | main-EventThread | Session connected. | org.apache.hadoop.ha.ActiveStandbyElector.processWatchEvent(ActiveStandbyElector.java:547)
+2015-04-15 21:24:54,264 | INFO | main-EventThread | Successfully authenticated to ZooKeeper using SASL. | org.apache.hadoop.ha.ActiveStandbyElector.processWatchEvent(ActiveStandbyElector.java:573)</pre>
+</div>
+<div class="section" id="mrs_01_1706__sa6a84f4f6d3f4094970ae90722c19fcb"><h4 class="sectiontitle">Answer</h4><ul id="mrs_01_1706__uf5ff95d3f75b498293ce1d2063f450b3"><li id="mrs_01_1706__l18aff339ceb141bba26f97f39ce687b2">Cause Analysis<p id="mrs_01_1706__ade17620fc29a4054a5ec2de0a2ef896e"><a name="mrs_01_1706__l18aff339ceb141bba26f97f39ce687b2"></a><a name="l18aff339ceb141bba26f97f39ce687b2"></a>After the active NameNode restarts, the temporary node <strong id="mrs_01_1706__b161116914222847">/hadoop-ha/hacluster/ActiveStandbyElectorLock</strong> created on ZooKeeper is deleted. After the standby NameNode receives that information that the <strong id="mrs_01_1706__b131930505022847">/hadoop-ha/hacluster/ActiveStandbyElectorLock</strong> node is deleted, the standby NameNode creates the /<strong id="mrs_01_1706__b15763490922847">hadoop-ha/hacluster/ActiveStandbyElectorLock</strong> node in ZooKeeper in order to switch to the active NameNode. However, when the standby NameNode connects with ZooKeeper through the client ZKFC, the session ID of ZKFC differs from that of ZooKeeper due to network issues, overload CPU, or overload clusters. In this case, the watcher of the standby NameNode fails to detect that the temporary node has been successfully created, and fails to consider the standby NameNode as the active NameNode. After the original active NameNode restarts, it detects that the <strong id="mrs_01_1706__b74246944422847">/hadoop-ha/hacluster/ActiveStandbyElectorLock</strong> already exists and becomes the standby NameNode. Therefore, both NameNodes are standby NameNodes.</p>
+</li></ul>
+<ul id="mrs_01_1706__u4e53d2688e0842c6b7528693c96c90db"><li id="mrs_01_1706__l9a8570ed789b4616b713c4148c43b216">Solution<p id="mrs_01_1706__ab082c9143ca840428ecba7520922dfb5"><a name="mrs_01_1706__l9a8570ed789b4616b713c4148c43b216"></a><a name="l9a8570ed789b4616b713c4148c43b216"></a>You are advised to restart two ZKFCs of HDFS on FusionInsight Manager.</p>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1690.html">FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1707.html b/docs/mrs/component-operation-guide/mrs_01_1707.html
new file mode 100644
index 000000000..c522ed25e
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@@ -0,0 +1,21 @@
+<a name="mrs_01_1707"></a><a name="mrs_01_1707"></a>
+
+<h1 class="topictitle1">When Does a Balance Process in HDFS, Shut Down and Fail to be Executed Again?</h1>
+<div id="body1597735020654"><div class="section" id="mrs_01_1707__sd3ab029f20ac450e9ec2149e59da02d9"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1707__a55902bff08644d62b2a15f6b71adb6bc">After I start a Balance process in HDFS, the process is shut down abnormally. If I attempt to execute the Balance process again, it fails again.</p>
+</div>
+<div class="section" id="mrs_01_1707__sf16474cfeae24c5ebccbf82417168fde"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1707__aa842d0f2cd034e759c13138e2f238084">After a Balance process is executed in HDFS, another Balance process can be executed only after the <span class="filepath" id="mrs_01_1707__fc2cc5bc0ec2c41e29adbe65ca356810d"><b>/system/balancer.id</b></span> file is automatically released.</p>
+<p id="mrs_01_1707__ae1fa0c99b4df49fea7aea5b59a6b9172">However, if a Balance process is shut down abnormally, the <span class="filepath" id="mrs_01_1707__fded3a890876a4de1aa0f268370dfc8e2"><b>/system/balancer.id</b></span> has not been released when the Balance is executed again, which triggers the <b><span class="cmdname" id="mrs_01_1707__cmdname83102016111113">append /system/balancer.id</span></b> operation.</p>
+<ul id="mrs_01_1707__ufa93f942ac4d4014897cc446d0656fd6"><li id="mrs_01_1707__le6ef658af49c4f44be5697c830afc148">If the time spent on releasing the <span class="filepath" id="mrs_01_1707__ff614016aa1cd48f290d8ffcda32cbb4c"><b>/system/balancer.id</b></span> file exceeds the soft-limit lease period 60 seconds, executing the Balance process again triggers the append operation, which preempts the lease. The last block is in construction or under recovery status, which triggers the block recovery operation. The <span class="filepath" id="mrs_01_1707__f6a593e5206d8456986fe106b7b86e49f"><b>/system/balancer.id</b></span> file cannot be closed until the block recovery completes. Therefore, the append operation fails.<p id="mrs_01_1707__aa4578d90433f423ab1f08bbdd0880f50">After the <b><span class="cmdname" id="mrs_01_1707__cmdname33104166119">append /system/balancer.id</span></b> operation fails, the exception message <strong id="mrs_01_1707__a9b15f56affb242518676f38da78c6f35">RecoveryInProgressException</strong> is displayed.</p>
+<pre class="screen" id="mrs_01_1707__s0e26454d1a884f908254b56875d1b750"><span id="mrs_01_1707__ph3571122531111">org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.protocol.RecoveryInProgressException): Failed to APPEND_FILE /system/balancer.id for DFSClient because lease recovery is in progress. Try again later.</span></pre>
+</li><li id="mrs_01_1707__lc2372a9fa785434ab5c9cf16b47b2aa1">If the time spent on releasing the <span class="filepath" id="mrs_01_1707__f94cbafcc56104c53997c2a8e6e62cbf7"><b>/system/balancer.id</b></span> file is within 60 seconds, the original client continues to own the lease and the exception<strong id="mrs_01_1707__a53456dd6dfcd417e842d98ed9f9f2543"> </strong>AlreadyBeingCreatedException occurs and null is returned to the client. The following exception message is displayed on the client:<pre class="screen" id="mrs_01_1707__se186c0ab11544fe79afc07f3fb4195de"><span id="mrs_01_1707__ph1257312551110">java.io.IOException: Cannot create any NameNode Connectors.. Exiting...</span></pre>
+</li></ul>
+<p id="mrs_01_1707__ac9d64b006940430ca858d93ac42529e3">Either of the following methods can be used to solve the problem:</p>
+<ul id="mrs_01_1707__u211b4532f9714502bf5fcce464a6ebf4"><li id="mrs_01_1707__lc0cf9e5f34514a5d925462c888f9cd6a">Execute the Balance process again after the hard-limit lease period expires for 1 hour, when the original client has released the lease.</li><li id="mrs_01_1707__la655803454f8406cb999c6dda8e8a90d">Delete the <span class="filepath" id="mrs_01_1707__fed1082c5dbb14755a89156debebbca3f"><b>/system/balancer.id</b></span> file before executing the Balance process again.</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1690.html">FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1708.html b/docs/mrs/component-operation-guide/mrs_01_1708.html
new file mode 100644
index 000000000..2215d0aac
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1708.html
@@ -0,0 +1,19 @@
+<a name="mrs_01_1708"></a><a name="mrs_01_1708"></a>
+
+<h1 class="topictitle1">"This page can't be displayed" Is Displayed When Internet Explorer Fails to Access the Native HDFS UI</h1>
+<div id="body1597735020959"><div class="section" id="mrs_01_1708__s8499578e45034f468b90cb9db311e4b6"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1708__a35077e00fa6c4ceb94f16905c901eb0f">Occasionally, nternet Explorer 9, Explorer 10, or Explorer 11 fails to access the native HDFS UI.</p>
+</div>
+<div class="section" id="mrs_01_1708__s09832851a5164f4e8cc4b38148252418"><h4 class="sectiontitle">Symptom</h4><p id="mrs_01_1708__a9723b20ef51045089f27ebf61e20499c">Internet Explorer 9, Explorer 10, or Explorer 11 fails to access the native HDFS UI, as shown in the following figure.</p>
+<p id="mrs_01_1708__a908e3251bf4b485ba14ad137e33a1000"><span><img id="mrs_01_1708__i862bef55ae8c4cff972e183de7f7a081" src="en-us_image_0000001295931412.jpg"></span></p>
+</div>
+<div class="section" id="mrs_01_1708__s630992e26a4d4144878c5cd22bc0f9c2"><h4 class="sectiontitle">Cause</h4><p id="mrs_01_1708__aa24db2643b274a6c9ffa97e0b8ef97f2">Some Internet Explorer 9, Explorer 10, or Explorer 11versions fail to handle SSL handshake issues, causing access failure.</p>
+</div>
+<div class="section" id="mrs_01_1708__s74c51cdce535463e82193b5cb85665d8"><h4 class="sectiontitle">Solution</h4><p id="mrs_01_1708__aae98b65472294fb095adc9d6300cdd10">Refresh the page.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1690.html">FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1709.html b/docs/mrs/component-operation-guide/mrs_01_1709.html
new file mode 100644
index 000000000..d12f9ab4e
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1709.html
@@ -0,0 +1,19 @@
+<a name="mrs_01_1709"></a><a name="mrs_01_1709"></a>
+
+<h1 class="topictitle1">NameNode Fails to Be Restarted Due to EditLog Discontinuity</h1>
+<div id="body1597735021617"><div class="section" id="mrs_01_1709__s3bd3ea1bdb6d481eba572bcfcb5b5bb7"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1709__a962e8929c71c4a32a17b2878c161e41e">If a JournalNode server is powered off, the data directory disk is fully occupied, and the network is abnormal, the EditLog sequence number on the JournalNode is inconsecutive. In this case, the NameNode restart may fail.</p>
+</div>
+<div class="section" id="mrs_01_1709__s2e5a938eb53d403aaae03bc49dfdeb38"><h4 class="sectiontitle">Symptom</h4><p id="mrs_01_1709__p1338843943916">The NameNode fails to be restarted. The following error information is reported in the NameNode run logs:</p>
+<p id="mrs_01_1709__p8388133916396"><span><img id="mrs_01_1709__image7264116133516" src="en-us_image_0000001349289573.png"></span></p>
+</div>
+<div class="section" id="mrs_01_1709__se41ab46cba2b41ffbfa1a61ca49bf38b"><h4 class="sectiontitle">Solution</h4><ol id="mrs_01_1709__ol14587174955118"><li id="mrs_01_1709__li115871749135119">Find the active NameNode before the restart, go to its data directory (you can obtain the directory, such as <strong id="mrs_01_1709__b26015016764027">/srv/BigData/namenode/current</strong> by checking the configuration item <strong id="mrs_01_1709__b158562506264027">dfs.namenode.name.dir</strong>), and obtain the sequence number of the latest FsImage file, as shown in the following figure:<p id="mrs_01_1709__p1158714915516"><span><img id="mrs_01_1709__image5587194935115" src="en-us_image_0000001348770293.png"></span></p>
+</li><li id="mrs_01_1709__li45872494513">Check the data directory of each JournalNode (you can obtain the directory such as<strong id="mrs_01_1709__b130070628464027">/srv/BigData/journalnode/hacluster/current</strong> by checking the value of the configuration item <strong id="mrs_01_1709__b159614931764027">dfs.journalnode.edits.dir</strong>), and check whether the sequence number starting from that obtained in step 1 is consecutive in edits files. That is, you need to check whether the last sequence number of the previous edits file is consecutive with the first sequence number of the next edits file. (As shown in the following figure, edits_0000000000013259231-0000000000013259237 and edits_0000000000013259239-0000000000013259246 are not consecutive.)<p id="mrs_01_1709__p158714955112"><span><img id="mrs_01_1709__image9587124913511" src="en-us_image_0000001295930432.png"></span></p>
+</li><li id="mrs_01_1709__li14587154985114">If the edits files are not consecutive, check whether the edits files with the related sequence number exist in the data directories of other JournalNodes or NameNode. If the edits files can be found, copy a consecutive segment to the JournalNode.</li><li id="mrs_01_1709__li1958817497519">In this way, all inconsecutive edits files are restored.</li><li id="mrs_01_1709__li20588144925112">Restart the NameNode and check whether the restart is successful. If the fault persists, contact technical support.</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1690.html">FAQ</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1750.html b/docs/mrs/component-operation-guide/mrs_01_1750.html
new file mode 100644
index 000000000..09973af03
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1750.html
@@ -0,0 +1,29 @@
+<a name="mrs_01_1750"></a><a name="mrs_01_1750"></a>
+
+<h1 class="topictitle1">Switching the Hive Execution Engine to Tez</h1>
+<div id="body1594977624481"><div class="section" id="mrs_01_1750__section897072914375"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1750__p162521931153713">Hive can use the Tez engine to process data computing tasks. Before executing a task, you can manually switch the execution engine to Tez.</p>
+</div>
+<div class="section" id="mrs_01_1750__section13562315184415"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_1750__p0312171854420">The TimelineServer role of the Yarn service has been installed in the cluster and is running properly.</p>
+</div>
+<div class="section" id="mrs_01_1750__section846520364375"><h4 class="sectiontitle">Switching the Execution Engine on the Client to Tez</h4><ol id="mrs_01_1750__ol793491613427"><li id="mrs_01_1750__li993314161422"><span>Install and log in to the Hive client. For details, see <a href="mrs_01_0952.html">Using a Hive Client</a>.</span></li><li id="mrs_01_1750__li148931227185116"><span>Run the following commands to switch the engine and enable the <strong id="mrs_01_1750__b113785319154">yarn.timeline-service.enabled</strong> parameter:</span><p><p id="mrs_01_1750__p13611171212523"><strong id="mrs_01_1750__b94461916155212">set hive.execution.engine=tez</strong>;</p>
+<div class="p" id="mrs_01_1750__p17662022135220"><strong id="mrs_01_1750__b980111259523">set yarn.timeline-service.enabled=true</strong>;<div class="note" id="mrs_01_1750__note1793421624218"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1750__ul9879133013507"><li id="mrs_01_1750__li68798303503">After <strong id="mrs_01_1750__b21906718152059">yarn.timeline-service.enabled</strong> is enabled, you can view the details about the tasks executed by the Tez engine on TezUI. After this function is enabled, task information will be reported to TimelineServer. If the TimelineServer instance is faulty, the task will fail.</li><li id="mrs_01_1750__li8631534145017">Tez uses the ApplicationMaster buffer pool. Therefore, <strong id="mrs_01_1750__b119630607052059">yarn.timeline-service.enabled</strong> must be enabled before Tez tasks are submitted. Otherwise, this parameter cannot take effect and you need to log in to the client again to configure it.</li><li id="mrs_01_1750__li9702193715506">When the execution engine needs to be switched to another engine, you need to run the <strong id="mrs_01_1750__b23780482152059">set yarn.timeline-service.enabled=false</strong> command on the client to disable the <strong id="mrs_01_1750__b175673868352059">yarn.timeline-service.enabled</strong> parameter.</li><li id="mrs_01_1750__li11456418151310">To specify a Yarn running queue, run the <strong id="mrs_01_1750__b1917919231">set tez.queue.name=default</strong> command on the client.</li></ul>
+</div></div>
+</div>
+</p></li><li id="mrs_01_1750__li293415164427"><span>Submit and execute the Tez tasks.</span></li><li id="mrs_01_1750__li10244134214144"><span>Log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. Choose <strong id="mrs_01_1750__b1769815119396">Cluster</strong> &gt; <em id="mrs_01_1750__i15161142923919">Name of the desired cluster</em> &gt; <strong id="mrs_01_1750__b2662193613916">Services</strong> &gt; <strong id="mrs_01_1750__b16851738113915">Tez</strong> &gt; <strong id="mrs_01_1750__b19146842183918">TezUI</strong><em id="mrs_01_1750__i4683736115112">(host name)</em> to view the task execution status on the TezUI page.</span><p><p id="mrs_01_1750__p7860946121614">For versions earlier than MRS 3.x, log in to MRS Manager, choose <strong id="mrs_01_1750__b17805185031119">Services</strong>, and click <strong id="mrs_01_1750__b9681154171116">Tez</strong>. On the displayed page, click the link next to <strong id="mrs_01_1750__b177921184131">Tez WebUI</strong> to view the task execution status on the TezUI page.</p>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_1750__section64712291238"><h4 class="sectiontitle">Switching the Default Execution Engine of Hive to Tez</h4><ol id="mrs_01_1750__ol15825141020156"><li id="mrs_01_1750__li168251010121510"><span>Log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. Choose <strong id="mrs_01_1750__b152634501316">Cluster</strong> &gt; <em id="mrs_01_1750__i1931153322">Name of the desired cluster</em> &gt; <strong id="mrs_01_1750__b10469171053215">Services</strong> &gt; <strong id="mrs_01_1750__b660211273216">Hive</strong> &gt; <strong id="mrs_01_1750__b202594182326">Configurations</strong> &gt; <strong id="mrs_01_1750__b10984220163215">All Configurations</strong> &gt; <strong id="mrs_01_1750__b1572622318323">HiveServer(Role)</strong>, and search for <strong id="mrs_01_1750__b1282162912326">hive.execution.engine</strong>.</span><p><p id="mrs_01_1750__p1198191115393">For versions earlier than MRS 3.x, log in to MRS Manager, choose <strong id="mrs_01_1750__b874372992419">Services</strong>, and click <strong id="mrs_01_1750__b989313192417">Hive</strong>. On the displayed page, click the <strong id="mrs_01_1750__b17485195292416">Service Configuration</strong> tab, select <strong id="mrs_01_1750__b20303171319250">All</strong> from the <strong id="mrs_01_1750__b893712324016">Type</strong> drop-down list. On the navigation pane on the left, choose <strong id="mrs_01_1750__b2054229152518">HiveServer</strong> and search for <strong id="mrs_01_1750__b18337124116251">hive.execution.engine</strong>.</p>
+</p></li><li id="mrs_01_1750__li1882531071512"><span>Set <strong id="mrs_01_1750__b22244592352059">hive.execution.engine</strong> to <strong id="mrs_01_1750__b80044796152059">tez</strong>.</span></li><li id="mrs_01_1750__li464525410155"><span>Choose <strong id="mrs_01_1750__b1993359121512">Hive(Service)</strong> &gt; <strong id="mrs_01_1750__b46157571613">Customization</strong> and search for <strong id="mrs_01_1750__b53540288166">yarn.site.customized.configs</strong>.</span></li><li id="mrs_01_1750__li17324913111616"><span>Add custom parameter <strong id="mrs_01_1750__b49933271196">yarn.timeline-service.enabled</strong> to <strong id="mrs_01_1750__b151061644161914">yarn.site.customized.configs</strong> and set it to <strong id="mrs_01_1750__b1387514817194">true</strong>.</span><p><div class="note" id="mrs_01_1750__note15486172920166"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1750__ul712184482315"><li id="mrs_01_1750__li10131044142310">After <strong id="mrs_01_1750__b199338915752059">yarn.timeline-service.enabled</strong> is enabled, you can view the details about the tasks executed by the Tez engine on TezUI. After this function is enabled, task information will be reported to TimelineServer. If the TimelineServer instance is faulty, the task will fail.</li><li id="mrs_01_1750__li613174422315">Tez uses the ApplicationMaster buffer pool. Therefore, <strong id="mrs_01_1750__b149005368652059">yarn.timeline-service.enabled</strong> must be enabled before Tez tasks are submitted. Otherwise, this parameter cannot take effect and you need to log in to the client again to configure it.</li><li id="mrs_01_1750__li2131445239">When the execution engine needs to be switched to another one, you need to set the value of parameter <strong id="mrs_01_1750__b48245653552059">yarn.timeline-service.enabled</strong> to <strong id="mrs_01_1750__b182103597552059">false</strong>.</li></ul>
+</div></div>
+</p></li><li id="mrs_01_1750__li731417703218"><span>Click <strong id="mrs_01_1750__b104472399852059">Save</strong>. In the displayed confirmation dialog box, click <strong id="mrs_01_1750__b194062795052059">OK</strong>. </span><p><p id="mrs_01_1750__p38466132488">For versions earlier than MRS 3.x, click <strong id="mrs_01_1750__b28071249172519">Save Configuration</strong> and click <strong id="mrs_01_1750__b976575610255">Yes</strong> in the displayed dialog box.</p>
+</p></li><li id="mrs_01_1750__li9486529191619"><span>Choose <strong id="mrs_01_1750__b3451223338">Dashboard</strong> &gt; <strong id="mrs_01_1750__b1978911241031">More</strong> &gt; <strong id="mrs_01_1750__b963113267314">Restart Service</strong> to restart the Hive service. Enter the password to restart the service.</span><p><p id="mrs_01_1750__p066395014495">For versions earlier than MRS 3.x, Click the <strong id="mrs_01_1750__b11421135616268">Service Status</strong> tab and choose <strong id="mrs_01_1750__b8975121102619">More</strong> &gt; <strong id="mrs_01_1750__b392813247266">Restart Service</strong> to restart the Hive service.</p>
+</p></li><li id="mrs_01_1750__li61597871717"><span>Install and log in to the Hive client. For details, see <a href="mrs_01_0952.html">Using a Hive Client</a>.</span></li><li id="mrs_01_1750__li1196182121714"><span>Submit and execute the Tez tasks.</span></li><li id="mrs_01_1750__li54945290176"><span>Log in to FusionInsight Manager and choose <strong id="mrs_01_1750__b66646603952059">Cluster</strong> &gt; <em id="mrs_01_1750__i213196265152059">Name of the desired cluster</em> &gt; <strong id="mrs_01_1750__b103139696052059">Services</strong> &gt; <strong id="mrs_01_1750__b87745831352059">Tez</strong> &gt; <strong id="mrs_01_1750__b147942328952059">TezUI</strong><em id="mrs_01_1750__i1471315113527">(host name)</em>. On the displayed TezUI page, view the task execution status.</span><p><p id="mrs_01_1750__p59422515115">For versions earlier than MRS 3.x, log in to MRS Manager, choose <strong id="mrs_01_1750__b08014302410">Services</strong>, and click <strong id="mrs_01_1750__b1080193017419">Tez</strong>. On the displayed page, click the link next to <strong id="mrs_01_1750__b13800308414">Tez WebUI</strong> to view the task execution status on the TezUI page.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1752.html b/docs/mrs/component-operation-guide/mrs_01_1752.html
new file mode 100644
index 000000000..8466398f0
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1752.html
@@ -0,0 +1,47 @@
+<a name="mrs_01_1752"></a><a name="mrs_01_1752"></a>
+
+<h1 class="topictitle1">Common Issues About Hive</h1>
+<div id="body1595924880895"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1753.html">How Do I Delete UDFs on Multiple HiveServers at the Same Time?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1754.html">Why Cannot the DROP operation Be Performed on a Backed-up Hive Table?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1755.html">How to Perform Operations on Local Files with Hive User-Defined Functions</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1756.html">How Do I Forcibly Stop MapReduce Jobs Executed by Hive?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1758.html">How Do I Monitor the Hive Table Size?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1759.html">How Do I Prevent Key Directories from Data Loss Caused by Misoperations of the insert overwrite Statement?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1760.html">Why Is Hive on Spark Task Freezing When HBase Is Not Installed?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1761.html">Error Reported When the WHERE Condition Is Used to Query Tables with Excessive Partitions in FusionInsight Hive</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1762.html">Why Cannot I Connect to HiveServer When I Use IBM JDK to Access the Beeline Client?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1763.html">Description of Hive Table Location (Either Be an OBS or HDFS Path)</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2309.html">Why Cannot Data Be Queried After the MapReduce Engine Is Switched After the Tez Engine Is Used to Execute Union-related Statements?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2310.html">Why Does Hive Not Support Concurrent Data Writing to the Same Table or Partition?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2325.html">Why Does Hive Not Support Vectorized Query?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2343.html">Why Does Metadata Still Exist When the HDFS Data Directory of the Hive Table Is Deleted by Mistake?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24482.html">How Do I Disable the Logging Function of Hive?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24486.html">Why Hive Tables in the OBS Directory Fail to Be Deleted?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24117.html">Hive Configuration Problems</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1753.html b/docs/mrs/component-operation-guide/mrs_01_1753.html
new file mode 100644
index 000000000..0d99f2171
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1753.html
@@ -0,0 +1,31 @@
+<a name="mrs_01_1753"></a><a name="mrs_01_1753"></a>
+
+<h1 class="topictitle1">How Do I Delete UDFs on Multiple HiveServers at the Same Time?</h1>
+<div id="body1595924880897"><div class="section" id="mrs_01_1753__s6380d631a944450391eb3eb1aa7c4546"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1753__afb92bd6e0dc6407fa170ca8c40a37b6d">How can I delete permanent user-defined functions (UDFs) on multiple HiveServers at the same time?</p>
+</div>
+<div class="section" id="mrs_01_1753__s76f9b6de7b8146349714e967fa0f2cf7"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1753__a84f92017392e48b78e8d36c1f920970d">Multiple HiveServers share one MetaStore database. Therefore, there is a delay in the data synchronization between the MetaStore database and the HiveServer memory. If a permanent UDF is deleted from one HiveServer, the operation result cannot be synchronized to the other HiveServers promptly.</p>
+<p id="mrs_01_1753__a838d712499ee40dda3cb116c1b8bb03f">In this case, you need to log in to the Hive client to connect to each HiveServer and delete permanent UDFs on the HiveServers one by one. The operations are as follows:</p>
+<ol id="mrs_01_1753__obd7030cf3ec04be6b73e50463bae2b5c"><li id="mrs_01_1753__lcad486aaf12a4b0397fad5a17c9298cd"><span>Log in to the node where the Hive client is installed as the Hive client installation user.</span></li><li id="mrs_01_1753__l5590180054df44fc9303048bbd4737f1"><span>Run the following command to go to the client installation directory:</span><p><p id="mrs_01_1753__ad4b2e529b3aa4a208332dacfb3e293e8"><strong id="mrs_01_1753__a60cc9091616349ea99f23dcdef0f7ca6">cd </strong><i><span class="varname" id="mrs_01_1753__va2bbd0e91dab421f8eff63e760ae3e7a">Client installation directory</span></i></p>
+<p id="mrs_01_1753__a3a25f9cf219a4122a076caaec50a142e">For example, if the client installation directory is <strong id="mrs_01_1753__b207181624376">/opt</strong><strong id="mrs_01_1753__b27184241373"></strong><strong id="mrs_01_1753__b171814247715">/client</strong>, run the following command:</p>
+<p id="mrs_01_1753__a65ab9daeca254871acf5b7c45299eb95"><strong id="mrs_01_1753__a658cd06c8f8c4ad3bef04a116f08587b">cd /opt/client</strong></p>
+</p></li><li id="mrs_01_1753__l2929b2a59bc347abb4eda944a849db8f"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_1753__ac45ad8626fe74808bd03055e288f634c"><strong id="mrs_01_1753__ae473b290b2534831b96be36d2235b34e">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_1753__lae695bd9b5874996a98dd7b0e122b3b9"><span>Run the following command to authenticate the user:</span><p><p id="mrs_01_1753__a6ad048d3089c4ace8666d5bbab0b5316"><strong id="mrs_01_1753__a878766605df24bd19aff5ca2deab5e12">kinit</strong> <i><span class="varname" id="mrs_01_1753__varname362013221576">Hive service user</span></i></p>
+<div class="note" id="mrs_01_1753__n8f2df59923db47d0b6b40e060fd9c5d2"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1753__a6800c40ce5674c748c1a8feb4ea93822">The login user must have the Hive admin rights.</p>
+</div></div>
+</p></li><li id="mrs_01_1753__l7ef35cc9f4de4ef9966a1cda923d47e5"><a name="mrs_01_1753__l7ef35cc9f4de4ef9966a1cda923d47e5"></a><a name="l7ef35cc9f4de4ef9966a1cda923d47e5"></a><span>Run the following command to connect to the specified HiveServer:</span><p><p id="mrs_01_1753__en-us_topic_0116216636_p445229417234"><strong id="mrs_01_1753__a9f529b84a73445588c2da5a26ca49322">beeline -u "jdbc:hive2://</strong><i><span class="varname" id="mrs_01_1753__v3b9f170960774013a38b5d6603ba7a5c">10.39.151.74</span></i><strong id="mrs_01_1753__en-us_topic_0116216636_b821231517420">:</strong><i><span class="varname" id="mrs_01_1753__v45d01f81b9f0462494aee7ba9b8220ab">21066</span></i><strong id="mrs_01_1753__ab042bb720634420a8a564dcdbd5e028b">/default;sasl.qop=auth-conf;auth=KERBEROS;principal=</strong><i><span class="varname" id="mrs_01_1753__ve6eb3cb2b87045b3a43370fbadaffea7">hive</span></i>/<i><span class="varname" id="mrs_01_1753__v0c58e7bdca574f2199a6cdb31d6a8c63">hadoop.&lt;system domain name&gt;@&lt;system domain name&gt;</span></i>"</p>
+<div class="note" id="mrs_01_1753__ncbc02d344d0d446e8263d856714ed442"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1753__u3d94f90b8d574d18a2d6ba9480b8e980"><li id="mrs_01_1753__l7295388d432d4d578f9972e7c0ddfac7"><i><span class="varname" id="mrs_01_1753__v83d627cedbc240378acaa0ee1633f17b">10.39.151.74</span></i> is the IP address of the node where the HiveServer is located.</li><li id="mrs_01_1753__l48512845b34d40f88928045bee692665"><i><span class="varname" id="mrs_01_1753__v605a41bef08641498651fd16ac36321e">21066</span></i> is the port number of the HiveServer. The HiveServer port number ranges from 21066 to 21070 by default. Use the actual port number.</li><li id="mrs_01_1753__lfadbebe4aea7487baaf92649e1001316"><i><span class="varname" id="mrs_01_1753__vb7051867032745f482c1805bd8c54e49">hive</span></i> is the username. For example, if the Hive1 instance is used, the username is <strong id="mrs_01_1753__b16369123021011">hive1</strong>.</li><li id="mrs_01_1753__li1067119614316">You can log in to FusionInsight Manager, choose <strong id="mrs_01_1753__b47672043353053">System</strong> &gt; <strong id="mrs_01_1753__b17768683753053">Permission</strong> &gt; <strong id="mrs_01_1753__b71786366553053">Domain and Mutual Trust</strong>, and view the value of <strong id="mrs_01_1753__b194070201053053">Local Domain</strong>, which is the current system domain name.</li><li id="mrs_01_1753__li7817963115"><span class="parmvalue" id="mrs_01_1753__parmvalue361312185295"><b>hive/hadoop.<span id="mrs_01_1753__text1061316189290"><em id="mrs_01_1753__i17613111802915">&lt;system domain name&gt;</em></span></b></span> is the username. All letters in the system domain name contained in the username are lowercase letters.</li></ul>
+</div></div>
+</p></li><li id="mrs_01_1753__lb890fe49d684425ba9362545104951ec"><span>Run the following command to enable the Hive admin rights:</span><p><p id="mrs_01_1753__a829a626a708d4d79924d892e95d636f1"><strong id="mrs_01_1753__aa2913fa76d22416da50bbbaccef24b1a">set role admin;</strong></p>
+</p></li><li id="mrs_01_1753__l25d12549a0cb4699a3bb73e9cc4e8ad6"><span>Run the following command to delete the permanent UDF:</span><p><p id="mrs_01_1753__acc1a1af8b0a84bdd9f433064a447a829"><strong id="mrs_01_1753__a0ec73249a1014ea8be80f47527f781a7">drop function </strong><i><span class="varname" id="mrs_01_1753__vce7cee74fbac451199649540a6ea926a">function_name</span></i><strong id="mrs_01_1753__a26079fdad8ad41d18675dc75da8d9593">;</strong></p>
+<div class="note" id="mrs_01_1753__nc771902498f34fdda6eb3ea4be2b80d5"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1753__u7b037d2c937e48aabc4e24e2c92bfbe2"><li id="mrs_01_1753__l1dfd0134808e4f30bd76b5fba72b7e01"><i><span class="varname" id="mrs_01_1753__v055d204142a04b2d9abb66c253392ffa">function_name</span></i> indicates the name of the permanent function.</li><li id="mrs_01_1753__l5c260dffeb724208af7c8baa0fec8360">If the permanent UDF is created in Spark, the permanent UDF needs to be deleted from Spark and then from HiveServer by running the preceding command.</li></ul>
+</div></div>
+</p></li><li id="mrs_01_1753__le21b6d558b2247f1b98b961c0ae2f095"><span>Check whether the permanent UDFs are deleted from all HiveServers.</span><p><ul id="mrs_01_1753__u01e0dc105834435d8971757ffe05ebf4"><li id="mrs_01_1753__lc0cee105a0114315b800441f3119c54f">If yes, no further action is required.</li><li id="mrs_01_1753__lc9aef916f44b4434b5b22ef3f2acc4c7">If no, go to <a href="#mrs_01_1753__l7ef35cc9f4de4ef9966a1cda923d47e5">5</a>.</li></ul>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1752.html">Common Issues About Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1754.html b/docs/mrs/component-operation-guide/mrs_01_1754.html
new file mode 100644
index 000000000..b0c2d13dc
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1754.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_1754"></a><a name="mrs_01_1754"></a>
+
+<h1 class="topictitle1">Why Cannot the DROP operation Be Performed on a Backed-up Hive Table?</h1>
+<div id="body1595924880900"><div class="section" id="mrs_01_1754__s00057ad6e9d340e7ac85cc8cab57b5b8"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1754__ab205ccde787940e3a698bda21dcfb0b1">Why cannot the <strong id="mrs_01_1754__b121111311417">DROP</strong> operation be performed for a backed up Hive table?</p>
+</div>
+<div class="section" id="mrs_01_1754__s09d91bfe41564a339cdf23a7fdda4275"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1754__a4b762bfc15934cfb99747c295dc76fe1">Snapshots have been created for an HDFS directory mapping to the backed up Hive table, so the HDFS directory cannot be deleted. As a result, the Hive table cannot be deleted. </p>
+<p id="mrs_01_1754__en-us_topic_0116216667_p27985815179">When a Hive table is being backed up, snapshots are created for the HDFS directory mapping to the table. The snapshot mechanism of HDFS has the following limitation: If snapshots have been created for an HDFS directory, the directory cannot be deleted or renamed unless the snapshots are deleted. When the <strong id="mrs_01_1754__b168793516159">DROP</strong> operation is performed for a Hive table (except the EXTERNAL table), the system attempts to delete the HDFS directory mapping to the table. If the directory fails to be deleted, the system displays a message indicating that the table fails to be deleted. </p>
+<p id="mrs_01_1754__a10b57e19335249c586b6f0b2eeb69492">If you need to delete this table, manually delete all backup tasks related to this table.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1752.html">Common Issues About Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1755.html b/docs/mrs/component-operation-guide/mrs_01_1755.html
new file mode 100644
index 000000000..cd5a7cd21
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1755.html
@@ -0,0 +1,23 @@
+<a name="mrs_01_1755"></a><a name="mrs_01_1755"></a>
+
+<h1 class="topictitle1">How to Perform Operations on Local Files with Hive User-Defined Functions</h1>
+<div id="body1595924880902"><div class="section" id="mrs_01_1755__s214c9940311449ceb9eb457da27ffbe3"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1755__a58e54ac6ec9f41e5be83f347f77ed9d4">How to perform operations on local files (such as reading the content of a file) with Hive user-defined functions?</p>
+</div>
+<div class="section" id="mrs_01_1755__s9269a11c6cbd431787d9ce769058b21b"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1755__aa40652ea99144ac7be7834777cae627d">By default, you can perform operations on local files with their relative paths in UDF. The following are sample codes:</p>
+<pre class="screen" id="mrs_01_1755__se1dbc3daaf3749d682958823b58e79e0">public String evaluate(String text) {
+  // some logic
+  File file = new File("foo.txt");
+  // some logic
+  // do return here
+}</pre>
+<p id="mrs_01_1755__acfaa355e51dc46098d02bcc72c96ac7f">In Hive, upload the file <span class="filepath" id="mrs_01_1755__f1afe78f614954e9289546f193833ab1a"><b>foo.txt</b></span> used in UDF to HDFS, such as <span class="filepath" id="mrs_01_1755__fb4be0ebcc2bc48c7a531f598309a8df5"><b>hdfs://hacluster/tmp/foo.txt</b></span>. You can perform operations on the <span class="filepath" id="mrs_01_1755__faaa0b3bd25864fd78c44c5620d26b841"><b>foo.txt</b></span> file by creating UDF with the following sentences:</p>
+<p id="mrs_01_1755__p51051842113916"><strong id="mrs_01_1755__b99053814018">create function testFunc as 'some.class' using jar 'hdfs://hacluster/somejar.jar', file 'hdfs://hacluster/tmp/foo.txt';</strong></p>
+<p id="mrs_01_1755__en-us_topic_0116216710_p961631691913">In abnormal cases, if the value of <span class="parmname" id="mrs_01_1755__pbcabd41b69124169bf60564a888bc083"><b>hive.fetch.task.conversion</b></span> is <span class="parmvalue" id="mrs_01_1755__p0e7c03ef30bf4e3b873e6a52e0bbb2a1"><b>more</b></span>, you can perform operations on local files in UDF by using absolute path instead of relative path. In addition, you must ensure that the file exists on all HiveServer nodes and NodeManager nodes and <strong id="mrs_01_1755__a884ea8fdc01d4589932ddebb07103bcd">omm</strong> user have corresponding operation rights.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1752.html">Common Issues About Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1756.html b/docs/mrs/component-operation-guide/mrs_01_1756.html
new file mode 100644
index 000000000..d00a854d6
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1756.html
@@ -0,0 +1,14 @@
+<a name="mrs_01_1756"></a><a name="mrs_01_1756"></a>
+
+<h1 class="topictitle1">How Do I Forcibly Stop MapReduce Jobs Executed by Hive?</h1>
+<div id="body1595924880903"><div class="section" id="mrs_01_1756__s3f0532547bf64a929328a4d42205e8d3"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1756__a1788f05738074385947feaa4b6733d2a">How do I stop a MapReduce task manually if the task is suspended for a long time?</p>
+</div>
+<div class="section" id="mrs_01_1756__s21f31e5f55334b3eb982320bed35822f"><h4 class="sectiontitle">Answer</h4><ol id="mrs_01_1756__ofb226faa242b4e9cb00a3b28fb72cc3a"><li id="mrs_01_1756__li894044771915"><span>Log in to FusionInsight Manager.</span></li><li id="mrs_01_1756__l464303d4c9434f698671ff7c6d8838d8"><span>Choose <strong id="mrs_01_1756__b13816034752917">Cluster</strong> &gt; <em id="mrs_01_1756__i139303271152917">Name of the desired cluster</em> &gt; <strong id="mrs_01_1756__b198786629052917">Services</strong> &gt; <strong id="mrs_01_1756__b186001903552917">Yarn</strong>.</span></li><li id="mrs_01_1756__l0cdf82f152e34a4faab0b1c2b2640133"><span>On the left pane, click <span class="parmvalue" id="mrs_01_1756__pa2e7cff7f0d74ec5a9e368f044c482a1"><b>ResourceManager(Host name, Active)</b></span>, and log in to Yarn.</span></li><li id="mrs_01_1756__l09077c12be0f4c04a26dacebdc2c6328"><span>Click the button corresponding to the task ID. On the task page that is displayed, click <span class="parmvalue" id="mrs_01_1756__parmvalue17935233121117"><b>Kill Application</b></span> in the upper left corner and click <strong id="mrs_01_1756__b4408155511120">OK</strong> in the displayed dialog box to stop the task.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1752.html">Common Issues About Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1758.html b/docs/mrs/component-operation-guide/mrs_01_1758.html
new file mode 100644
index 000000000..064d2f406
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1758.html
@@ -0,0 +1,19 @@
+<a name="mrs_01_1758"></a><a name="mrs_01_1758"></a>
+
+<h1 class="topictitle1">How Do I Monitor the Hive Table Size?</h1>
+<div id="body1595924881697"><div class="section" id="mrs_01_1758__section16837140195018"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1758__p51061911654">How do I monitor the Hive table size?</p>
+</div>
+<div class="section" id="mrs_01_1758__section8731844508"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1758__p15011313133219">The HDFS refined monitoring function allows you to monitor the size of a specified table directory.</p>
+</div>
+<div class="section" id="mrs_01_1758__section233919136507"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1758__ul1996818533324"><li id="mrs_01_1758__li4246115818326">The Hive and HDFS components are running properly.</li><li id="mrs_01_1758__li1096835393219">The HDFS refined monitoring function is normal.</li></ul>
+</div>
+<div class="section" id="mrs_01_1758__section382061720506"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1758__ol152059517520"><li id="mrs_01_1758__li894044771915"><span>Log in to FusionInsight Manager.</span></li><li id="mrs_01_1758__li12053511521"><span>Choose <strong id="mrs_01_1758__b101509098952050">Cluster </strong>&gt; <em id="mrs_01_1758__i81738052952050">Name of the desired cluster</em> &gt; <strong id="mrs_01_1758__b157001255452050">Services</strong> &gt; <strong id="mrs_01_1758__b184577662652050">HDFS </strong>&gt; <strong id="mrs_01_1758__b152310642452050">Resource</strong>.</span></li><li id="mrs_01_1758__li52055515529"><span>Click the first icon in the upper left corner of <strong id="mrs_01_1758__b73295718348">Resource Usage (by Directory)</strong>, as shown in the following figure.</span><p><p id="mrs_01_1758__p15205205135211"><span><img id="mrs_01_1758__image32051555521" src="en-us_image_0000001296090496.jpg"></span></p>
+</p></li></ol><ol start="4" id="mrs_01_1758__ol620410565217"><li id="mrs_01_1758__li1120418555215"><span>In the displayed sub page for configuring space monitoring, click <strong id="mrs_01_1758__b179091145193415">Add</strong>.</span></li><li id="mrs_01_1758__li1920413510529"><span>In the displayed <strong id="mrs_01_1758__b19874312134010">Add a Monitoring Directory</strong> dialog box, set <strong id="mrs_01_1758__b363112297414">Name</strong> to the name or the user-defined alias of the table to be monitored and <strong id="mrs_01_1758__b1015563524117">Path</strong> to the path of the monitored table. Click <strong id="mrs_01_1758__b69969889052050">OK</strong>. In the monitoring result, the horizontal coordinate indicates the time, and the vertical coordinate indicates the size of the monitored directory.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1752.html">Common Issues About Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1759.html b/docs/mrs/component-operation-guide/mrs_01_1759.html
new file mode 100644
index 000000000..1c9edf9c1
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1759.html
@@ -0,0 +1,19 @@
+<a name="mrs_01_1759"></a><a name="mrs_01_1759"></a>
+
+<h1 class="topictitle1">How Do I Prevent Key Directories from Data Loss Caused by Misoperations of the <strong id="b140031320152518">insert overwrite</strong> Statement?</h1>
+<div id="body1595924881699"><div class="section" id="mrs_01_1759__section16837140195018"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1759__p51061911654">How do I prevent key directories from data loss caused by misoperations of the <strong id="mrs_01_1759__b1182019165443">insert overwrite</strong> statement?</p>
+</div>
+<div class="section" id="mrs_01_1759__section8731844508"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1759__p15011313133219">During monitoring of key Hive databases, tables, or directories, to prevent data loss caused by misoperations of the <strong id="mrs_01_1759__b120370091252518">insert overwrite</strong> statement, configure <span class="parmname" id="mrs_01_1759__parmname18221637114018"><b>hive.local.dir.confblacklist</b></span> in Hive to protect directories.</p>
+<p id="mrs_01_1759__p1847514813194">This configuration item has been configured for directories such as <span class="filepath" id="mrs_01_1759__filepath076947194012"><b>/opt/</b></span> and <span class="filepath" id="mrs_01_1759__filepath324685194016"><b>/user/hive/warehouse</b></span> by default.</p>
+</div>
+<div class="section" id="mrs_01_1759__section233919136507"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_1759__p16835135824017">The Hive and HDFS components are running properly.</p>
+</div>
+<div class="section" id="mrs_01_1759__section36126991115"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1759__ol152059517520"><li id="mrs_01_1759__li894044771915"><span>Log in to FusionInsight Manager.</span></li><li id="mrs_01_1759__li12053511521"><span>Choose <strong id="mrs_01_1759__b39509408252518">Cluster </strong>&gt; <em id="mrs_01_1759__i199257593252518">Name of the desired cluster</em> &gt; <strong id="mrs_01_1759__b36523537252518">Services</strong> &gt; <strong id="mrs_01_1759__b827541852518">Hive </strong>&gt; <strong id="mrs_01_1759__b191693700752518">Configurations</strong> &gt; <strong id="mrs_01_1759__b64691390452518">All Configurations</strong>, and search for the <span class="parmname" id="mrs_01_1759__parmname173841186413"><b>hive.local.dir.confblacklist</b></span> configuration item.</span></li></ol><ol start="3" id="mrs_01_1759__ol620410565217"><li id="mrs_01_1759__li1120418555215"><span>Add paths of databases, tables, or directories to be protected in the parameter value.</span></li><li id="mrs_01_1759__li1920413510529"><span>Click <strong id="mrs_01_1759__b36451286452518">Save</strong> to save the settings.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1752.html">Common Issues About Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1760.html b/docs/mrs/component-operation-guide/mrs_01_1760.html
new file mode 100644
index 000000000..fdbdcdb61
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1760.html
@@ -0,0 +1,18 @@
+<a name="mrs_01_1760"></a><a name="mrs_01_1760"></a>
+
+<h1 class="topictitle1">Why Is Hive on Spark Task Freezing When HBase Is Not Installed?</h1>
+<div id="body1595924881701"><div class="section" id="mrs_01_1760__section18818847144313"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1760__p2893104784312">This function applies to Hive.</p>
+<p id="mrs_01_1760__p8893047104317">Perform the following operations to configure parameters. When Hive on Spark tasks are executed in the environment where the HBase is not installed, freezing of tasks can be prevented.</p>
+<div class="note" id="mrs_01_1760__note6175223112011"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1760__p171283291209">The Spark kernel version of Hive on Spark tasks has been upgraded to Spark2x. Hive on Spark tasks can be executed is Spark2x is not installed. If HBase is not installed, when Spark tasks are executed, the system attempts to connect to the ZooKeeper to access HBase until timeout occurs by default. As a result, task freezing occurs.</p>
+<p id="mrs_01_1760__p41286290203">If HBase is not installed, perform the following operations to execute Hive on Spark tasks. If HBase is upgraded from an earlier version, you do not need to configure parameters after the upgrade.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1760__section1684764794313"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1760__ol289384715439"><li id="mrs_01_1760__li19893114718431"><span>Log in to FusionInsight Manager.</span></li><li id="mrs_01_1760__li18231131419358"><span>Choose <strong id="mrs_01_1760__b147895588351659">Cluster</strong> &gt; <em id="mrs_01_1760__i137011918851659">Name of the desired cluster</em> &gt; <strong id="mrs_01_1760__b99165832551659">Services</strong> &gt; <strong id="mrs_01_1760__b199755883851659">Hive</strong> &gt; <strong id="mrs_01_1760__b39090123651659">Configurations</strong> &gt; <strong id="mrs_01_1760__b34426315751659">All Configurations</strong>.</span></li><li id="mrs_01_1760__li10893647124310"><span>Choose <strong id="mrs_01_1760__b6571583151659">HiveServer(Role)</strong> &gt; <strong id="mrs_01_1760__b133090949751659">Customization</strong>. Add a customized parameter to the <strong id="mrs_01_1760__b170982900251659">spark-defaults.conf</strong> parameter file. Set <strong id="mrs_01_1760__b111889029451659">Name </strong>to <strong id="mrs_01_1760__b34393243351659">spark.security.credentials.hbase.enabled</strong>, and set <strong id="mrs_01_1760__b206870335851659">Value </strong>to <strong id="mrs_01_1760__b137277674251659">false</strong>.</span></li><li id="mrs_01_1760__li723161415359"><span>Click <strong id="mrs_01_1760__b176239448051659">Save</strong>. In the dialog box that is displayed, click <strong id="mrs_01_1760__b12152790351659">OK</strong>.</span></li><li id="mrs_01_1760__li10231214193518"><span>Choose <strong id="mrs_01_1760__b1923117571657">Cluster</strong> &gt; <em id="mrs_01_1760__i1423110571158">Name of the desired cluster</em> &gt; <strong id="mrs_01_1760__b1232155713511">Services</strong> &gt; <strong id="mrs_01_1760__b1323312578511">Hive</strong> &gt; <strong id="mrs_01_1760__b4233657851">Instance</strong>, select all Hive instances, choose <strong id="mrs_01_1760__b142348572516">More</strong> &gt; <strong id="mrs_01_1760__b42345571755">Restart Instance</strong>, enter the password, and click <strong id="mrs_01_1760__b1226142717140">OK</strong>.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1752.html">Common Issues About Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1761.html b/docs/mrs/component-operation-guide/mrs_01_1761.html
new file mode 100644
index 000000000..7aed854e8
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1761.html
@@ -0,0 +1,20 @@
+<a name="mrs_01_1761"></a><a name="mrs_01_1761"></a>
+
+<h1 class="topictitle1">Error Reported When the WHERE Condition Is Used to Query Tables with Excessive Partitions in FusionInsight Hive</h1>
+<div id="body1595924881702"><div class="section" id="mrs_01_1761__section760819535558"><h4 class="sectiontitle">Question</h4><div class="p" id="mrs_01_1761__p126080534558">When a table with more than 32,000 partitions is created in Hive, an exception occurs during the query with the WHERE partition. In addition, the exception information printed in <span class="filepath" id="mrs_01_1761__filepath185363884419"><b>metastore.log</b></span> contains the following information:<pre class="screen" id="mrs_01_1761__screen1293216521821">Caused by: java.io.IOException: Tried to send an out-of-range integer as a 2-byte value: 32970
+        at org.postgresql.core.PGStream.SendInteger2(PGStream.java:199)
+        at org.postgresql.core.v3.QueryExecutorImpl.sendParse(QueryExecutorImpl.java:1330)
+        at org.postgresql.core.v3.QueryExecutorImpl.sendOneQuery(QueryExecutorImpl.java:1601)
+        at org.postgresql.core.v3.QueryExecutorImpl.sendParse(QueryExecutorImpl.java:1191)
+        at org.postgresql.core.v3.QueryExecutorImpl.execute(QueryExecutorImpl.java:346)</pre>
+</div>
+</div>
+<div class="section" id="mrs_01_1761__section1560825385516"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1761__p16609115365518">During a query with partition conditions, HiveServer optimizes the partitions to avoid full table scanning. All partitions whose metadata meets the conditions need to be queried. However, the <strong id="mrs_01_1761__b56357291702">sendOneQuery </strong>interface provided by GaussDB limits the parameter value to <strong id="mrs_01_1761__b14712143316">32767</strong> in the <strong id="mrs_01_1761__b136357294013">sendParse</strong> method. If the number of partition conditions exceeds <strong id="mrs_01_1761__b8734171810">32767</strong>, an exception occurs.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1752.html">Common Issues About Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1762.html b/docs/mrs/component-operation-guide/mrs_01_1762.html
new file mode 100644
index 000000000..5c4144c44
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1762.html
@@ -0,0 +1,18 @@
+<a name="mrs_01_1762"></a><a name="mrs_01_1762"></a>
+
+<h1 class="topictitle1">Why Cannot I Connect to HiveServer When I Use IBM JDK to Access the Beeline Client?</h1>
+<div id="body1595924881703"><div class="section" id="mrs_01_1762__section13051856111311"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1762__p1889582423715">When users check the JDK version used by the client, if the JDK version is IBM JDK, the Beeline client needs to be reconstructed. Otherwise, the client will fail to connect to HiveServer.</p>
+</div>
+<div class="section" id="mrs_01_1762__section135121211141418"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1762__ol527045618391"><li id="mrs_01_1762__li93231253154119"><span>Log in to FusionInsight Manager and choose <strong id="mrs_01_1762__b266514244716">System</strong> &gt; <strong id="mrs_01_1762__b183876291071">Permission</strong> &gt; <strong id="mrs_01_1762__b660017317714">User</strong>. In the <strong id="mrs_01_1762__b195011379711">Operation</strong> column of the target user, choose <strong id="mrs_01_1762__b3380341978">More</strong> &gt; <strong id="mrs_01_1762__b8401124419710">Download Authentication Credential</strong>, select the cluster information, and click <strong id="mrs_01_1762__b1386414718710">OK</strong> to download the keytab file.</span></li><li id="mrs_01_1762__li2271125653915"><span>Decompress the keytab file and use WinSCP to upload the decompressed <strong id="mrs_01_1762__b1961215143811">user.keytab</strong> file to the Hive client installation directory on the node to be operated, for example, <strong id="mrs_01_1762__b22781647873">/opt</strong><strong id="mrs_01_1762__b142788475715"></strong><strong id="mrs_01_1762__b132787471972">/client</strong>.</span></li><li id="mrs_01_1762__li168934462111"><span>Run the following command to open the <strong id="mrs_01_1762__b152431515194">Hive/component_env</strong> configuration file in the Hive client directory:</span><p><p id="mrs_01_1762__p1377715392217"><strong id="mrs_01_1762__b59481124497">vi </strong><em id="mrs_01_1762__i1559810281494">Hive client installation directory</em><strong id="mrs_01_1762__b138712311399">/Hive/component_env</strong></p>
+<div class="p" id="mrs_01_1762__p321295112119">Add the following content to the end of the line where <strong id="mrs_01_1762__b25593572919">export CLIENT_HIVE_URI</strong> is located:<pre class="screen" id="mrs_01_1762__screen9212651182112">\; user.principal=<em id="mrs_01_1762__i95061610191010">Username</em> @HADOOP.COM\;user.keytab=<em id="mrs_01_1762__i6711246151012">user.keytab file path</em>/user.keytab</pre>
+</div>
+</p></li></ol>
+</div>
+<p id="mrs_01_1762__p8060118"></p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1752.html">Common Issues About Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1763.html b/docs/mrs/component-operation-guide/mrs_01_1763.html
new file mode 100644
index 000000000..67ad06960
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1763.html
@@ -0,0 +1,14 @@
+<a name="mrs_01_1763"></a><a name="mrs_01_1763"></a>
+
+<h1 class="topictitle1">Description of Hive Table Location (Either Be an OBS or HDFS Path)</h1>
+<div id="body1595924881704"><div class="section" id="mrs_01_1763__section64393186344"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1763__p564614146230">Can Hive tables be stored in OBS or HDFS?</p>
+</div>
+<div class="section" id="mrs_01_1763__section175653583418"><h4 class="sectiontitle">Answer</h4><ol id="mrs_01_1763__ol6956145053416"><li id="mrs_01_1763__li4956165017340">The location of a common Hive table stored on OBS can be set to an HDFS path.</li><li id="mrs_01_1763__li1895715502341">In the same Hive service, you can create tables stored in OBS and HDFS, respectively.</li><li id="mrs_01_1763__li1265116351">For a Hive partitioned table stored on OBS, the location of the partition cannot be set to an HDFS path. (For a partitioned table stored on HDFS, the location of the partition cannot be changed to OBS.)</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1752.html">Common Issues About Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1764.html b/docs/mrs/component-operation-guide/mrs_01_1764.html
new file mode 100644
index 000000000..24b546394
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1764.html
@@ -0,0 +1,23 @@
+<a name="mrs_01_1764"></a><a name="mrs_01_1764"></a>
+
+<h1 class="topictitle1">Common Issues About Hue</h1>
+<div id="body1598413153117"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1765.html">How Do I Solve the Problem that HQL Fails to Be Executed in Hue Using Internet Explorer?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1766.html">Why Does the use database Statement Become Invalid When Hive Is Used?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_0156.html">What Can I Do If HDFS Files Fail to Be Accessed Using Hue WebUI?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2367.html">How Do I Do If a Large File Fails to Upload on the Hue Page?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2368.html">Why Is the Hue Native Page Cannot Be Properly Displayed If the Hive Service Is Not Installed in a Cluster?</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0130.html">Using Hue (MRS 3.x or Later)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1765.html b/docs/mrs/component-operation-guide/mrs_01_1765.html
new file mode 100644
index 000000000..e6dd78108
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1765.html
@@ -0,0 +1,14 @@
+<a name="mrs_01_1765"></a><a name="mrs_01_1765"></a>
+
+<h1 class="topictitle1">How Do I Solve the Problem that HQL Fails to Be Executed in Hue Using Internet Explorer?</h1>
+<div id="body1598413153118"><div class="section" id="mrs_01_1765__s66e76ef6dd73479398655c776116bb7b"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1765__a162942e7b78a40e7a94c13433cbea0ef">What do I do if all HQL statements fail to be executed when I use Internet Explorer to access Hive Editor in Hue and the message "There was an error with your query" is displayed?</p>
+</div>
+<div class="section" id="mrs_01_1765__sa92aab5ff63e42d291e3b90f1d277e51"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1765__a6c0d011832ce43738e5e1349d8253b18">Internet Explorer does not support processing of AJAX POST requests containing form data in 307 redirection. You are advised to use a compatible browser, for example, Google Chrome.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1764.html">Common Issues About Hue</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1766.html b/docs/mrs/component-operation-guide/mrs_01_1766.html
new file mode 100644
index 000000000..f2d4c1951
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1766.html
@@ -0,0 +1,14 @@
+<a name="mrs_01_1766"></a><a name="mrs_01_1766"></a>
+
+<h1 class="topictitle1">Why Does the <strong id="b157181331400">use database</strong> Statement Become Invalid When Hive Is Used?</h1>
+<div id="body1598413153119"><div class="section" id="mrs_01_1766__s670f5cdc877e4ef2a411e37ca6043309"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1766__acc6e4168a6a141fca8c9073b0931629b">When Hive is used, the <strong id="mrs_01_1766__a75a46997ea90420fa4a129215980a8ca">use database</strong> statement is entered in the text box to switch the database, and other statements are also entered, why does the database fail to be switched? </p>
+</div>
+<div class="section" id="mrs_01_1766__s386d6384f2174e04b4f5de06ef3546c0"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1766__aedbeeee6e473497e9bd22621723c912b">Using Hive on Hue is different from using Hive on the Hive client. There is an option to select a database on the Hue interface, and the database where the current SQL is executed is the one that is displayed on the interface. You are advised to use functions on the Hue interface instead of using statements to perform session-level and one-off operations, for example, setting parameters. If you must enter specific statements to perform an operation, ensure that all statements you enter are in one text box. </p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1764.html">Common Issues About Hue</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1767.html b/docs/mrs/component-operation-guide/mrs_01_1767.html
new file mode 100644
index 000000000..0d6e01704
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1767.html
@@ -0,0 +1,22 @@
+<a name="mrs_01_1767"></a><a name="mrs_01_1767"></a>
+
+<h1 class="topictitle1">Using the Kafka Client</h1>
+<div id="body1595906785612"><div class="section" id="mrs_01_1767__sc56932df916a4d24859352da76142ea0"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1767__p14611115486">This section guides users to use a Kafka client in an O&amp;M or service scenario.</p>
+<p id="mrs_01_1767__p153114292618">This section applies to MRS 3.<em id="mrs_01_1767__i204324229015">x</em> or later clusters.</p>
+</div>
+<div class="section" id="mrs_01_1767__s79bb1c7b423c4060865a9b4d95db5e75"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1767__u8d981bff995b440bb3ca4cb2c8ba71e4"><li id="mrs_01_1767__l5bccbfc9af3b4643bd8aac6a2ba50381">The client has been installed. For example, the installation directory is <strong id="mrs_01_1767__b99027781941142">/opt/client</strong>.</li><li id="mrs_01_1767__la8a352e20c414015a0e60f8023ecc0a5">Service component users are created by the administrator as required. Machine-machine users need to download the keytab file. A human-machine user must change the password upon the first login. (Not involved in normal mode)</li><li id="mrs_01_1767__l47578df816ad459594b25a9dea076617">After changing the domain name of a cluster, redownload the client to ensure that the <strong id="mrs_01_1767__b20445586175">kerberos.domain.name</strong> value in the configuration file of the client is set to the correct server domain name.</li></ul>
+</div>
+<div class="section" id="mrs_01_1767__s955d8af9dd264d11aeb7e52f541081bc"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1767__o88060f2769064662a63412566d17b012"><li id="mrs_01_1767__lac0304168b134dbf966709a6ce549e7d"><span>Log in to the node where the client is installed as the client installation user.</span></li><li id="mrs_01_1767__l9c0d2dbdcb7d41eab895a9f75b9a02b2"><span>Run the following command to go to the client installation directory:</span><p><p id="mrs_01_1767__a96ae52efde9642948f638441a036c79a"><strong id="mrs_01_1767__a50193f1676c741a5ae432c55250667d6">cd /opt/client</strong></p>
+</p></li><li id="mrs_01_1767__l02709ddfb0a744f9ab239374e40a3e8b"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_1767__a7060369a3f304b7890e4afb33f3e22ee"><strong id="mrs_01_1767__addfe02b6a608430294a07fc537cc9c53">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_1767__ldb284e6385c84600ad3f1461ac3c91af"><span>Run the following command to perform user authentication (skip this step in normal mode):</span><p><p id="mrs_01_1767__a7f6163ea7e9647adaa8162c5dac727dd"><strong id="mrs_01_1767__acc96b76dcb744fc489a0b59f1c273122">kinit</strong> <em id="mrs_01_1767__a5d872242846741a79417e03f22cdedde">Component service user</em></p>
+</p></li><li id="mrs_01_1767__lc4b824efb2a1488aaa387a8cb3b251e2"><span>Run the following command to switch to the Kafka client installation directory:</span><p><p id="mrs_01_1767__aa1b5b3a5318649f08238cf3e2756f175"><strong id="mrs_01_1767__ad13b355a781d4b84926441a74ad8def1">cd Kafka/kafka/bin</strong></p>
+</p></li><li id="mrs_01_1767__laabc28f593bf42bfae2cd3e8583285ad"><span>Run the following command to use the client tool to view and use the help information:</span><p><ul id="mrs_01_1767__ua03b7977dea04dbaba216860ca236179"><li id="mrs_01_1767__l696f63d4913a4f8d8e282792cea62d77"><strong id="mrs_01_1767__a6f2539c94d4e49f6a763bcd3e7846112">./kafka-console-consumer.sh</strong>: Kafka message reading tool</li><li id="mrs_01_1767__l0449cd76b3a2446691426f2e91566a53"><strong id="mrs_01_1767__a67a8866c515041df9cc02177c5087dc2">./kafka-console-producer.sh</strong>: Kafka message publishing tool</li><li id="mrs_01_1767__l03407800f3db4534bc8ce42d1915018d"><strong id="mrs_01_1767__a0a35a2b6f32f4e9991d6a5b9a4c9ccdd">./kafka-topics.sh</strong>: Kafka topic management tool</li></ul>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0375.html">Using Kafka</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1768.html b/docs/mrs/component-operation-guide/mrs_01_1768.html
new file mode 100644
index 000000000..9804e044e
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1768.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_1768"></a><a name="mrs_01_1768"></a>
+
+<h1 class="topictitle1">Common Issues About Kafka</h1>
+<div id="body1596098831039"><p id="mrs_01_1768__p8060118"></p>
+</div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1769.html">How Do I Solve the Problem that Kafka Topics Cannot Be Deleted?</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0375.html">Using Kafka</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1769.html b/docs/mrs/component-operation-guide/mrs_01_1769.html
new file mode 100644
index 000000000..abf46e93f
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1769.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_1769"></a><a name="mrs_01_1769"></a>
+
+<h1 class="topictitle1">How Do I Solve the Problem that Kafka Topics Cannot Be Deleted?</h1>
+<div id="body1596098831041"><div class="section" id="mrs_01_1769__sd98faa49197a4670b7c318d20fb2c9c9"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1769__a3ec04e6d68114b83aac25d69142b5f89">How do I delete a Kafka topic if it fails to be deleted?</p>
+</div>
+<div class="section" id="mrs_01_1769__sa5c1031b10894654868eca4d65a77879"><h4 class="sectiontitle">Answer</h4><ul id="mrs_01_1769__udeeaf07a01f34aae8d004a790ab8fbbc"><li id="mrs_01_1769__lba268b233d7f43b8ad695be8b9213b44">Possible cause 1: The <span class="parmname" id="mrs_01_1769__p354b9e189368433dbd453f5415291116"><b>delete.topic.enable</b></span> configuration item is not set to <span class="parmvalue" id="mrs_01_1769__p0a7f979d7c01485fb0bdc3805aa8d8b5"><b>true</b></span>. The deletion can be performed only when the configuration item is set to <span class="parmvalue" id="mrs_01_1769__p716b148c3889478c8d237b4021f4e9fb"><b>true</b></span>.</li><li id="mrs_01_1769__l413dfe1985894accacac27cf60cd5f10">Possible cause 2: The <span class="parmname" id="mrs_01_1769__p3f4e55f77a1641ffb3ee24616f168b4d"><b>auto.create.topics.enable</b></span> configuration parameter is set to <span class="parmvalue" id="mrs_01_1769__pbf4fed81f6124b338d48629c2e1c1cb2"><b>true</b></span>, which is used by other applications and is always running in the background.</li></ul>
+<p id="mrs_01_1769__en-us_topic_0116216665_p198476210520">Solution:</p>
+<ul id="mrs_01_1769__ue8c6b06edcd24c27bc472f1362db597f"><li id="mrs_01_1769__l6b81a9115a2d41a6a2095d24ff8a0392">For cause 1: Set <span class="parmname" id="mrs_01_1769__p43b6ba01efaf4e909009b60ad40cdc52"><b>delete.topic.enable</b></span> to <span class="parmvalue" id="mrs_01_1769__p3b9ea6ef716944ccbedd9a3498c3970c"><b>true</b></span> on the configuration page.</li><li id="mrs_01_1769__l4179392d79d34bb0ba15c7521a952590">For cause 2: Stop the application that uses the topic in the background, or set <span class="parmname" id="mrs_01_1769__pc5fa52ec8d5149df90ad1b158bf9b3ff"><b>auto.create.topics.enable</b></span> to <span class="parmvalue" id="mrs_01_1769__p5c57bdd011744c59a102812e3b567fbe"><b>false</b></span> (restart the Kafka service), and then delete the topic.</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1768.html">Common Issues About Kafka</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1785.html b/docs/mrs/component-operation-guide/mrs_01_1785.html
new file mode 100644
index 000000000..39d429d14
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1785.html
@@ -0,0 +1,18 @@
+<a name="mrs_01_1785"></a><a name="mrs_01_1785"></a>
+
+<h1 class="topictitle1">Common Issues About Loader</h1>
+<div id="body1596098831770"><p id="mrs_01_1785__p8060118"></p>
+</div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1786.html">How to Resolve the Problem that Failed to Save Data When Using Internet Explorer 10 or Internet Explorer 11 ?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1787.html">Differences Among Connectors Used During the Process of Importing Data from the Oracle Database to HDFS</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0400.html">Using Loader</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1786.html b/docs/mrs/component-operation-guide/mrs_01_1786.html
new file mode 100644
index 000000000..64eda3624
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1786.html
@@ -0,0 +1,17 @@
+<a name="mrs_01_1786"></a><a name="mrs_01_1786"></a>
+
+<h1 class="topictitle1">How to Resolve the Problem that Failed to Save Data When Using Internet Explorer 10 or Internet Explorer 11 ?</h1>
+<div id="body1596098831999"><div class="section" id="mrs_01_1786__sa0789fbf37cc4353ac55f59cf2b2aba1"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1786__a5425bb50d50d43869689a4a727fa3354">Internet Explorer 11 or Internet Explorer 10 is used to access the web UI of Loader. After data is submitted, an error occurs.</p>
+</div>
+<div class="section" id="mrs_01_1786__s4d4964001b7f4614a11410b5b99ef641"><h4 class="sectiontitle">Answer</h4><ul id="mrs_01_1786__u0a09e0727efd453895f3bde4195c3082"><li id="mrs_01_1786__l5147bf2f735948ad9a269ded9c8dc961">Symptom<ol id="mrs_01_1786__o5890d86402ce428fb83ea7706c9f045f"><li id="mrs_01_1786__lfab3b08402b747b58a1e6b32a4354e04">When the submitted data is saved, a similar error occurs: Invalid query parameter jobgroup id. cause: [jobgroup].</li></ol>
+</li><li id="mrs_01_1786__l49770eb2ebfd45c6b43422fc0414e6ce">Causse<p id="mrs_01_1786__a8f2b3cc5a46849d7844bc107625512db"><a name="mrs_01_1786__l49770eb2ebfd45c6b43422fc0414e6ce"></a><a name="l49770eb2ebfd45c6b43422fc0414e6ce"></a>Some Internet Explorer 11 versions convert POST requests into GET requests after receiving the HTTP 307 response. As a result, POST data cannot be delivered to the server.</p>
+</li><li id="mrs_01_1786__la4b419ee61d047fdb4f8a7f32e65bea4">Solution<p id="mrs_01_1786__acd1d152357ad4a47b0dad8eddb79a097"><a name="mrs_01_1786__la4b419ee61d047fdb4f8a7f32e65bea4"></a><a name="la4b419ee61d047fdb4f8a7f32e65bea4"></a>Use Google Chrome.</p>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1785.html">Common Issues About Loader</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1787.html b/docs/mrs/component-operation-guide/mrs_01_1787.html
new file mode 100644
index 000000000..1115a4dac
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1787.html
@@ -0,0 +1,22 @@
+<a name="mrs_01_1787"></a><a name="mrs_01_1787"></a>
+
+<h1 class="topictitle1">Differences Among Connectors Used During the Process of Importing Data from the Oracle Database to HDFS</h1>
+<div id="body1596098832002"><div class="section" id="mrs_01_1787__s5b951d8acb7f45caae4315f023e89a8e"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1787__aab2e09c327764f31a343226000f2e9f3">Three types of connectors are available for importing data from the Oracle database to HDFS using Loader. That is, generic-jdbc-connector, oracle-connector, and oracle-partition-connector. Which one should I select? What are the differences between them?</p>
+</div>
+<div class="section" id="mrs_01_1787__sc4ef7263443644f196ece71006034c02"><h4 class="sectiontitle">Answers</h4><ul id="mrs_01_1787__u677860e6c1524b06b80a3bc6be2f4759"><li id="mrs_01_1787__en-us_topic_0116216775_li15776810551">generic-jdbc-connector<p id="mrs_01_1787__a34f9761973a840e39c1fe2b059bae131"><a name="mrs_01_1787__en-us_topic_0116216775_li15776810551"></a><a name="en-us_topic_0116216775_li15776810551"></a>Reads data from the Oracle database in JDBC mode. It is applicable to databases that support JDBC.</p>
+<p id="mrs_01_1787__a9ace651986fb49e38a5ed6c631e192f3">In this mode, data loading performance of Loader is subject to data distribution in a partition column. When data skew occurs (data has only one value or several values) in a partition column, a few Maps process a significant portion of data. As a result, the index becomes invalid, causing a sharp decline in SQL query performance. </p>
+<p id="mrs_01_1787__ae36bcd7da75c448f95c452da9f25572b"><strong id="mrs_01_1787__b157102810107">generic-jdbc-connector</strong> supports view import and export, but oracle-partition-connector and oracle-connector do not support. Therefore, only this connector can be used to import views.</p>
+</li><li id="mrs_01_1787__l7e4f550f4e2443358f634c80e8b8cc56">Both <strong id="mrs_01_1787__b8479123614107">oracle-partition-connector</strong> and <strong id="mrs_01_1787__b46666382104">oracle-connector</strong><p id="mrs_01_1787__a069501b0d34646eeb9af1cc23719bf79">can use the ROWID of Oracle for partitioning. oracle-partition-connector is self-developed and oracle-connector is an open-source edition. The two types of connectors share similar performance.</p>
+<p id="mrs_01_1787__en-us_topic_0116216775_p722328510573"><strong id="mrs_01_1787__b1115035912016">oracle-connector</strong> requires more system table permissions. The following lists the read permissions required by the system tables of <strong id="mrs_01_1787__b128972522115">oracle-connector</strong> and <strong id="mrs_01_1787__b103509922111">oracle-connector</strong>.</p>
+<ul id="mrs_01_1787__u5847c0a196ad4cdf9fa9d8aa193d2124"><li id="mrs_01_1787__le2afd03a94a6422a8163cbc2a461db8c"><strong id="mrs_01_1787__b1391811189213">oracle-connector</strong>: dba_tab_partitions, dba_constraints, dba_tables t, dba_segments, v$version, dba_objects, v$instance, SYS_CONTEXT function, dba_extents, and dba_tab_subpartitions</li><li id="mrs_01_1787__lddbd2044d8ac487daa35344f003fa44e"><strong id="mrs_01_1787__b9283103692115">oracle-partition-connector</strong>: DBA_OBJECTS and DBA_EXTENTS</li></ul>
+<p id="mrs_01_1787__af027ba1dba274bc8838a23568065ed64">Compared with <strong id="mrs_01_1787__b52052175226">generic-jdbc-connector</strong>, <strong id="mrs_01_1787__b1648019197224">oracle-partition-connector</strong> and <strong id="mrs_01_1787__b598862112221">oracle-connector</strong> have the following advantages:</p>
+<ol id="mrs_01_1787__o91d89ecd3bd34877ae05a8f445fe3712"><li id="mrs_01_1787__led490505b9b8434f99ffd3414ee27c2e">Load balancing: Number and scope of data segments are determined by the storage structure (data blocks) of the source table rather than the data on the source table. In terms of granularity, a data block can occupy a partition.</li><li id="mrs_01_1787__l43c24ca8396342a49dadc6024ff36d65">Stable performance: Invalid index faults caused by data skew and bound variable snooping can be completely eliminated. </li><li id="mrs_01_1787__l548607b9b1564ceaa457598f0912a812">Fast query speed: Using data segmentation delivers a higher query speed than that of using index. </li><li id="mrs_01_1787__l5a16aca640f8492f8bd2b0e7526ac828">Excellent horizontal scalability: The number of generated segments increases with the increase of data volume. In this case, ideal performance can be delivered when you increase the number of concurrent tasks. Contrarily, decreasing concurrent tasks saves resources.</li><li id="mrs_01_1787__l55ccd9e4bf8a49b79eb71fe1a020e97d">Simplified data segmentation logic: Problems like precision loss, type compatibility, and bound variables can be prevented. </li><li id="mrs_01_1787__l92b5bd28e32f467e83108f9a540f40a4">Enhanced usability: Users do not need to create partition columns and tables for Loader. </li></ol>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1785.html">Common Issues About Loader</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1788.html b/docs/mrs/component-operation-guide/mrs_01_1788.html
new file mode 100644
index 000000000..f6019d7b0
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1788.html
@@ -0,0 +1,30 @@
+<a name="mrs_01_1788"></a><a name="mrs_01_1788"></a>
+
+<h1 class="topictitle1">Common Issues About MapReduce</h1>
+<div id="body1596092470011"><p id="mrs_01_1788__p8060118"></p>
+</div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1789.html">Why Does It Take a Long Time to Run a Task Upon ResourceManager Active/Standby Switchover?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1790.html">Why Does a MapReduce Task Stay Unchanged for a Long Time?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1791.html">Why the Client Hangs During Job Running?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1792.html">Why Cannot HDFS_DELEGATION_TOKEN Be Found in the Cache?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1793.html">How Do I Set the Task Priority When Submitting a MapReduce Task?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1797.html">After the Address of MapReduce JobHistoryServer Is Changed, Why the Wrong Page is Displayed When I Click the Tracking URL on the ResourceManager WebUI?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1799.html">MapReduce Job Failed in Multiple NameService Environment</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1800.html">Why a Fault MapReduce Node Is Not Blacklisted?</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0834.html">Using MapReduce</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1789.html b/docs/mrs/component-operation-guide/mrs_01_1789.html
new file mode 100644
index 000000000..988cd383b
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1789.html
@@ -0,0 +1,18 @@
+<a name="mrs_01_1789"></a><a name="mrs_01_1789"></a>
+
+<h1 class="topictitle1">Why Does It Take a Long Time to Run a Task Upon ResourceManager Active/Standby Switchover?</h1>
+<div id="body1596092470012"><div class="section" id="mrs_01_1789__s1748b8be74c341b9ae23c5f8f1a54549"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1789__acd7d6f7675fc4cb9aecb9c89e464cfc5">MapReduce job takes a very long time (more than 10minutes) when the ResourceManager switch while the job is running.</p>
+</div>
+<div class="section" id="mrs_01_1789__s503bf8c2415f43c486b0f7e5bf700db2"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1789__a0cb3305dc87442dfa6aeeadcf9050508">This is because, ResorceManager HA is enabled but the ResourceManager work preserving restart is not enabled.</p>
+</div>
+<p id="mrs_01_1789__a291474275aa94e09ab0d9061770564b6">If ResorceManager work preserving restart is not enabled, then ResorceManager switch containers are killed which causes the ResorceManager to timeout the ApplicationMaster. For ResorceManager work preserving restart feature details, see <a href="http://hadoop.apache.org/docs/r3.1.1/hadoop-yarn/hadoop-yarn-site/ResourceManagerRestart.html" target="_blank" rel="noopener noreferrer">http://hadoop.apache.org/docs/r3.1.1/hadoop-yarn/hadoop-yarn-site/ResourceManagerRestart.html</a>.</p>
+<p id="mrs_01_1789__a14c268b946e44672ba1727bd2e640700">The following method can be used to solve the issue:</p>
+<p id="mrs_01_1789__a44fb020139cd405e99c907e813ff4f46">Enable the ResorceManager work preserving restart feature by configuring the following parameter.</p>
+<p id="mrs_01_1789__a4af94c173ad145549c68964e6eaadbec"><span class="parmname" id="mrs_01_1789__p76b0c35e05c04ad6b35b36e18b9eb832"><b>yarn.resourcemanager.work-preserving-recovery.enabled</b></span>=<span class="parmvalue" id="mrs_01_1789__p2f5e9a83318b45919729765f5bf0c09d"><b>true</b></span></p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1788.html">Common Issues About MapReduce</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1790.html b/docs/mrs/component-operation-guide/mrs_01_1790.html
new file mode 100644
index 000000000..307819e48
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1790.html
@@ -0,0 +1,18 @@
+<a name="mrs_01_1790"></a><a name="mrs_01_1790"></a>
+
+<h1 class="topictitle1">Why Does a MapReduce Task Stay Unchanged for a Long Time?</h1>
+<div id="body1596092470013"><div class="section" id="mrs_01_1790__sd67067b9f09643fbaa0b49d60ecd1fa8"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1790__a672a1717b4c043e0a24ece96a230c83c">MapReduce job is not progressing for long time</p>
+</div>
+<div class="section" id="mrs_01_1790__s9ba4cde5e2db43f29bd7e6973e2a4569"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1790__a06dee1c583b944e5ad81628540ef2814">This is because of less memory. When the memory is less, the time taken by the job to copy the map output increases significantly.</p>
+</div>
+<p id="mrs_01_1790__afb0662de2adb415db57fb11e1e31011c">In order to reduce the waiting time, increase the heap memory.</p>
+<p id="mrs_01_1790__a5818b1398ef84f4bb51f6ab23f332786">The job configuration should be tuned according to number of mappers and data size processed by each mapper. Based on the input data size, tune the following configurations accordingly for feasible performance.</p>
+<ul id="mrs_01_1790__ufc7a655fe07b485fa772c172e21ef76d"><li id="mrs_01_1790__lf967b36ca5034db69859c97d158dcf26"><span class="parmname" id="mrs_01_1790__pf755239348c64f70a4ac24b37bc1cb7d"><b>mapreduce.reduce.memory.mb</b></span></li><li id="mrs_01_1790__ladb4df0130ed4fdf8c793405f4cfd74f"><span class="parmname" id="mrs_01_1790__p21454099c39e421fa8c7362e3e0d1b07"><b>mapreduce.reduce.java.opts</b></span></li></ul>
+<p id="mrs_01_1790__ae4f2846ba76a458c885ed1b3c56226a0"><strong id="mrs_01_1790__a51a4169c9d3346d6bdb16049ce185f7b">Example</strong>: If the data size is 5 GB with 10 mappers, then the ideal heap memory would be 1.5 GB. Increase the heap memory size according with the increase in data size.</p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1788.html">Common Issues About MapReduce</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1791.html b/docs/mrs/component-operation-guide/mrs_01_1791.html
new file mode 100644
index 000000000..cad879cd3
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1791.html
@@ -0,0 +1,18 @@
+<a name="mrs_01_1791"></a><a name="mrs_01_1791"></a>
+
+<h1 class="topictitle1">Why the Client Hangs During Job Running?</h1>
+<div id="body1596092470014"><div class="section" id="mrs_01_1791__s5f973c4b8fac447abb56874f71396e8f"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1791__a47280ba9ac954fcda1727d50a37612ca">Why is the client unavailable when the MR ApplicationMaster or ResourceManager is moved to the D state during job running?</p>
+</div>
+<div class="section" id="mrs_01_1791__s363247df9a624c81a48a6fb0e3933cc6"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1791__a0e415b31ce6f4da7b22be8fa0ddea8e5">When a task is running, the MR ApplicationMaster or ResourceManager is moved to D state (uninterrupted sleep state) or T state (stopped state). The client waits to return the task running state, but the MR ApplicationMaster does not return. Therefore, the client remains in the waiting state.</p>
+<p id="mrs_01_1791__ad24fc686b00746ab93de09ff40688e35">To avoid the preceding scenario, use the <span class="parmname" id="mrs_01_1791__p85db523562734a3984c0d0430a564cdc"><b>ipc.client.rpc.timeout</b></span> configuration item in the <strong id="mrs_01_1791__b203687242551410">core-site.xml</strong> file to set the client timeout interval.</p>
+<p id="mrs_01_1791__a15f5c1aedee8419e95ea25084d1776fa">The value of this parameter is millisecond. The default value is <strong id="mrs_01_1791__b203241440751410">0</strong>, indicating that no timeout occurs. The client timeout interval ranges from 0 ms to 2,147,483,647 ms.</p>
+<div class="note" id="mrs_01_1791__n42da86e6ea7f4c90bc2e0a06f3c1a21d"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1791__ul124451164449"><li id="mrs_01_1791__li1068621994420">If the Hadoop process is in the D state, restart the node where the process is located.</li><li id="mrs_01_1791__li1444519166441">The <strong id="mrs_01_1791__b49089036651410">core-site.xml</strong> configuration file is stored in the <strong id="mrs_01_1791__b159804820551410">conf</strong> directory of the client installation path, for example, <strong id="mrs_01_1791__b111488611951410">/opt/hadoopClient/Yarn/config</strong>.</li></ul>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1788.html">Common Issues About MapReduce</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1792.html b/docs/mrs/component-operation-guide/mrs_01_1792.html
new file mode 100644
index 000000000..362958961
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1792.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_1792"></a><a name="mrs_01_1792"></a>
+
+<h1 class="topictitle1">Why Cannot HDFS_DELEGATION_TOKEN Be Found in the Cache?</h1>
+<div id="body1596092470015"><div class="section" id="mrs_01_1792__s51f33678783145dc8e627e3bba82c224"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1792__a4717e1a14f0249a280a246e6d8a15dd6">In security mode, why delegation token HDFS_DELEGATION_TOKEN is not found in the cache?</p>
+</div>
+<div class="section" id="mrs_01_1792__s18974b5f38cc4fda86991b7799dc7b8c"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1792__ad4100498a97d4ea2bac063e735654a4a">In MapReduce, by default HDFS_DELEGATION_TOKEN will be canceled after the job completion. So if the token has to be re- used for the next job then the token will not be found in the cache.</p>
+</div>
+<p id="mrs_01_1792__a108f82309ec3476f94b173e018995fd9">To re-use the same token in subsequent job set the below parameter for the MR job configuration. When it is false the user can re-sue the same token.</p>
+<pre class="screen" id="mrs_01_1792__s4529f926ff8449e2b78a06a7e3f014b2">jobConf.setBoolean("mapreduce.job.complete.cancel.delegation.tokens", false);</pre>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1788.html">Common Issues About MapReduce</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1793.html b/docs/mrs/component-operation-guide/mrs_01_1793.html
new file mode 100644
index 000000000..0521ad991
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1793.html
@@ -0,0 +1,20 @@
+<a name="mrs_01_1793"></a><a name="mrs_01_1793"></a>
+
+<h1 class="topictitle1">How Do I Set the Task Priority When Submitting a MapReduce Task?</h1>
+<div id="body1596092470808"><div class="section" id="mrs_01_1793__s01b5051241a542dea30ec0dc3004965f"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1793__a31b91dc79cac4e46ae1425d03c98d2f4">How do I set the job priority when submitting a MapReduce task?</p>
+</div>
+<div class="section" id="mrs_01_1793__s9c7127b627f14e77bf2f6729af649505"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1793__a91e581d9695d4a0f93159ed0e233c141">You can add the parameter <span class="parmname" id="mrs_01_1793__parmname36110205318"><b>-Dmapreduce.job.priority=&lt;priority&gt;</b></span> in the command to set task priority when submitting MapReduce tasks on the client. The format is as follows:</p>
+<p id="mrs_01_1793__aaaffe3ab5687493bbfd359826caaae46"><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1793__ce828128c031a4ce99e7b50f2b5c7ee4f">yarn jar</span></b></i> <i><span class="varname" id="mrs_01_1793__v7461e9efaef94af4a01d8480b0d053c5">&lt;jar&gt; [mainClass]</span></i> <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1793__cb2df259114404873aa019738683ec5d3">-Dmapreduce.job.priority=</span></b></i><i><span class="varname" id="mrs_01_1793__v694fc047b9cd4e118c31c7b794133630">&lt;priority&gt; [path1] [path2]</span></i></p>
+<p id="mrs_01_1793__a5392df41ad8949788b06e072fe2b7334">The parameters in the command are described as follows:</p>
+<ul id="mrs_01_1793__u3494475d08f24d93ad07a5d46c6239f0"><li id="mrs_01_1793__lc2271dbf055043038fc5c60d768a166e"><em id="mrs_01_1793__i29338235312">&lt;jar&gt;</em>: specifies the name of the JAR package to be run.</li><li id="mrs_01_1793__l38b4259daed941f1a5812dec61c7bd6c"><em id="mrs_01_1793__i198823247318">[mainClass]</em>: specifies the <strong id="mrs_01_1793__b78828242315">main</strong> method of the class for an application project in a JAR file.</li><li id="mrs_01_1793__l2c8f5f8592df4cbd9c17cecae2b3a782"><em id="mrs_01_1793__i7643202614316">&lt;priority&gt;</em>: specifies the priority of a task. The value can be <strong id="mrs_01_1793__b264312663116">VERY_HIGH</strong>, <strong id="mrs_01_1793__b16431726143110">HIGH</strong>, <strong id="mrs_01_1793__b164452611313">NORMAL</strong>, <strong id="mrs_01_1793__b176441226163115">LOW</strong>, or <strong id="mrs_01_1793__b1964413263316">VERY_LOW</strong>.</li></ul>
+<ul id="mrs_01_1793__ufd3bee1339074f3f8597e3d73a6808fc"><li id="mrs_01_1793__l995248d294c247a7be7c687647899bd7"><em id="mrs_01_1793__i1798132717312">[path1]</em>: specifies the data input path.</li><li id="mrs_01_1793__l1451a4a394d448c7a30eb134c0404cf2"><em id="mrs_01_1793__i17387429173118">[path2]</em>: specifies the data output path.</li></ul>
+<p id="mrs_01_1793__a9ff3452cfdc841d685a4214e5a41a031">For example, set the <span class="filepath" id="mrs_01_1793__fdb3307db51c74c869e96f850d5e039ba"><b>/opt/client/HDFS/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples*.jar</b></span> package to a high-priority task.</p>
+<p id="mrs_01_1793__a556002f4ce60475e844dc56d1c23c00b"><b><span class="cmdname" id="mrs_01_1793__cmdname56811352104414">yarn jar /opt/client/HDFS/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples*.jar wordcount -Dmapreduce.job.priority=VERY_HIGH /DATA.txt /out/</span></b></p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1788.html">Common Issues About MapReduce</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1797.html b/docs/mrs/component-operation-guide/mrs_01_1797.html
new file mode 100644
index 000000000..9424c0ef5
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1797.html
@@ -0,0 +1,15 @@
+<a name="mrs_01_1797"></a><a name="mrs_01_1797"></a>
+
+<h1 class="topictitle1">After the Address of MapReduce JobHistoryServer Is Changed, Why the Wrong Page is Displayed When I Click the Tracking URL on the ResourceManager WebUI?</h1>
+<div id="body1596092470813"><div class="section" id="mrs_01_1797__s340bf95b2a014499a5992809be902131"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1797__ac41fb4cf26a24e959f7501b56b3ae794">After the address of MapReduce JobHistoryServer is changed, why the wrong page is displayed when I click the tracking URL on the ResourceManager WebUI?</p>
+</div>
+<div class="section" id="mrs_01_1797__see7e96246eb54816a878cd72bb82a367"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1797__a50464ff304ad4094a58ad820ff46827a">JobHistoryServer address (mapreduce.jobhistory.address / mapreduce.jobhistory.webapp.&lt;https.&gt;address) is the parameter of MapReduce. The MapReduce client will submit the address together with jobs to ResourceManager. After ResourceManager completing the jobs, the parameter is saved in RMStateStore as the target address for viewing history job information.</p>
+<p id="mrs_01_1797__ab2c9c2314c98487e8fe0ceccaf0121f0">If the JobHistoryServer address is changed, update the address in the configuration file of the MapReduce client in time. If the address is not updated, the page of earlier JobHistoryServer is displayed when you click the tracking URL of the new job. The target address of information about MapReduce jobs running before the change of address cannot be changed, so the wrong page is also displayed when you click the tracking URL. You can check the history information by accessing the new JobHistoryServer address.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1788.html">Common Issues About MapReduce</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1799.html b/docs/mrs/component-operation-guide/mrs_01_1799.html
new file mode 100644
index 000000000..cafa7098b
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1799.html
@@ -0,0 +1,38 @@
+<a name="mrs_01_1799"></a><a name="mrs_01_1799"></a>
+
+<h1 class="topictitle1">MapReduce Job Failed in Multiple NameService Environment</h1>
+<div id="body1596092470816"><div class="section" id="mrs_01_1799__s90f17f4a33df43808ca34ad64490c038"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1799__ae0c7a3ee8f6348928cf9265e92ad9847">MapReduce or Yarn job fails in multiple nameService environment using viewFS.</p>
+</div>
+<div class="section" id="mrs_01_1799__s2d3b00cf5caf426194592c0e10a08972"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1799__a050931d5e67d48159868f5a1d646f523">When using viewFS only the mount directories are accessible, so the most possible cause is that the path configured is not in one of the mounted paths. For example:</p>
+<pre class="screen" id="mrs_01_1799__s73a35f1b7d07448db3119311061a2993">&lt;property&gt;
+&lt;name&gt;fs.defaultFS&lt;/name&gt;
+&lt;value&gt;viewfs://ClusterX/&lt;/value&gt;
+&lt;/property&gt;
+&lt;property&gt;
+&lt;name&gt;fs.viewfs.mounttable.ClusterX.link./folder1&lt;/name&gt;
+&lt;value&gt;hdfs://NS1/folder1&lt;/value&gt;
+&lt;/property&gt;
+&lt;property&gt;
+&lt;name&gt;fs.viewfs.mounttable.ClusterX.link./folder2&lt;/name&gt;
+&lt;value&gt;hdfs://NS2/folder2&lt;/value&gt;
+&lt;/property&gt;</pre>
+<p id="mrs_01_1799__a4669189c41c145b7bd17511c9e814d0b">For all the MR properties which depends on HDFS, should use the paths inside mount folders.</p>
+<p id="mrs_01_1799__a6ae17a1fa2164b09a89e089bfb9a6a5b"><strong id="mrs_01_1799__a99b32c7af2de44d08601c26581260de1">Incorrect:</strong></p>
+<pre class="screen" id="mrs_01_1799__s412f58d64db84000ae0eeae25a6b7477">&lt;property&gt;
+&lt;name&gt;yarn.app.mapreduce.am.staging-dir&lt;/name&gt;
+&lt;value&gt;/tmp/hadoop-yarn/staging&lt;/value&gt;
+&lt;/property&gt;</pre>
+<p id="mrs_01_1799__a3cddb6ab38044d47af02cf242f0632d3">As the root folder (/) is not accessible in viewFS.</p>
+<p id="mrs_01_1799__afa8266ae7b43493b987ad2cb0676fe8d"><strong id="mrs_01_1799__a5837476ae700494e9f688ebfcebfeaaf">Correct:</strong></p>
+<pre class="screen" id="mrs_01_1799__sd7be1f993c2b45a1ae6b836ad97acaa7">&lt;property&gt;
+&lt;name&gt;yarn.app.mapreduce.am.staging-dir&lt;/name&gt;
+&lt;value&gt;/folder1/tmp/hadoop-yarn/staging&lt;/value&gt;
+&lt;/property&gt;</pre>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1788.html">Common Issues About MapReduce</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1800.html b/docs/mrs/component-operation-guide/mrs_01_1800.html
new file mode 100644
index 000000000..1e1f36f59
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1800.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_1800"></a><a name="mrs_01_1800"></a>
+
+<h1 class="topictitle1">Why a Fault MapReduce Node Is Not Blacklisted?</h1>
+<div id="body1596092470817"><div class="section" id="mrs_01_1800__s07b51696b55646e99d8089707efcbd04"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1800__af387fea121b14a759cd7cef333ba6878">MapReduce task fails and the ratio of fault nodes to all nodes is smaller than the blacklist threshold configured by <strong id="mrs_01_1800__b1143712261772">yarn.resourcemanager.am-scheduling.node-blacklisting-disable-threshold</strong>. Why the fault node not be blacklisted?</p>
+</div>
+<div class="section" id="mrs_01_1800__s301dfd423ff444e4af9bece70adbd264"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1800__aff71722d99ab4149987792e145c6b306">If the blacklisted percentage exceeds the threshold, all blacklisted nodes are released. Traditionally, the blacklist percentage is the ratio of fault nodes to all nodes in the cluster. Currently, each node has a label expression. Therefore, the blacklist percentage needs to be calculated based on the number of nodes related to valid node label expressions. In other way, the blacklist percentage is the ratio of fault nodes related to valid node label expressions.</p>
+<p id="mrs_01_1800__a96c5338df8364f968c4a4339c2185c7d">Assume that there are 100 nodes in the cluster, including 10 nodes (labelA) related to valid node label expressions. Assume that all nodes related to valid node label expressions are faulty and default blacklist threshold is 0.33. In traditional calculation method, 10/100 = 0.1, which is far smaller than the threshold (0.33). In this case, the 10 nodes will never get released. Therefore, MapReduce always cannot obtain nodes and applications cannot run properly. In practice, the blacklist percentage needs to be calculated based on the total number of nodes related to valid node label expressions: 10/10 = 1 is greater than the blacklist threshold and all nodes are released.</p>
+<p id="mrs_01_1800__af55615dbea7d42c481865f7861915180">Therefore, even the ratio of fault nodes to all nodes in the cluster is below the threshold, all nodes in the blacklist are released.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1788.html">Common Issues About MapReduce</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1807.html b/docs/mrs/component-operation-guide/mrs_01_1807.html
new file mode 100644
index 000000000..c84a0b9f7
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1807.html
@@ -0,0 +1,21 @@
+<a name="mrs_01_1807"></a><a name="mrs_01_1807"></a>
+
+<h1 class="topictitle1">Using Oozie</h1>
+<div id="body1591347168515"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1808.html">Using Oozie from Scratch</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1810.html">Using the Oozie Client</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1812.html">Using Oozie Client to Submit an Oozie Job</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1817.html">Using Hue to Submit an Oozie Job</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1843.html">Oozie Log Overview</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1844.html">Common Issues About Oozie</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1808.html b/docs/mrs/component-operation-guide/mrs_01_1808.html
new file mode 100644
index 000000000..47ab67bf8
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1808.html
@@ -0,0 +1,40 @@
+<a name="mrs_01_1808"></a><a name="mrs_01_1808"></a>
+
+<h1 class="topictitle1">Using Oozie from Scratch</h1>
+<div id="body1596077979069"><p id="mrs_01_1808__a445c022e3bf64521954bec29e92ccf4d">Oozie is an open-source workflow engine that is used to schedule and coordinate Hadoop jobs.</p>
+<p id="mrs_01_1808__ab0644f04f4884d20af810216ff873396">Oozie can be used to submit a wide array of jobs, such as Hive, Spark2x, Loader, MapReduce, Java, DistCp, Shell, HDFS, SSH, SubWorkflow, Streaming, and scheduled jobs.</p>
+<p id="mrs_01_1808__p8060118">This section describes how to use the Oozie client to submit a MapReduce job.</p>
+<div class="section" id="mrs_01_1808__section14867051154717"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_1808__p1860261613816">The client has been installed. For example, the installation directory is <strong id="mrs_01_1808__b3287174517612">/opt</strong><strong id="mrs_01_1808__b1428715452617"></strong><strong id="mrs_01_1808__b628711453613">/client</strong>. The client directory in the following operations is only an example. Change it based on the actual installation directory onsite.</p>
+</div>
+<div class="section" id="mrs_01_1808__section1882381914"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1808__ol233319318216"><li id="mrs_01_1808__l6109f1763aad473e9edba417b410db5b"><span>Log in to the node where the client is installed as the client installation user.</span></li><li id="mrs_01_1808__l1cfc094e3573492b8624ed13e10e00f5"><span>Run the following command to go to the client installation directory, for example, <strong id="mrs_01_1808__b089413965610">/opt/Bigdata/client</strong>:</span><p><p id="mrs_01_1808__a42ca79399e7d4e2fa6891cfe15b49a06"><strong id="mrs_01_1808__a5794dab6880b412f86fe90a137992e5b">cd /opt/client</strong></p>
+</p></li><li id="mrs_01_1808__ldc4dc92d64ef41a78f0e483a058f6147"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_1808__a0f7284074ef6400eac7ed1a745a3ec6d"><strong id="mrs_01_1808__abfe8c835946f4d87855400af0df9a1e3">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_1808__lc10513c57e21483ab2a387e67e6f75d2"><span>Check the cluster authentication mode.</span><p><ul id="mrs_01_1808__u67315135e30d4f01b0f494e43d068f26"><li id="mrs_01_1808__lb3ba529a419944b09a3fb14b13c05ec4">If the cluster is in security mode, run the following command to authenticate the user: <em id="mrs_01_1808__i15910131381019">UserOozie</em> indicates the user who submits tasks.<p id="mrs_01_1808__a4da6b34e80fa48fd884a26cbcc0a01d5"><strong id="mrs_01_1808__a018e75eef98c47e6badc55c9dbe1cdc7">kinit</strong> <em id="mrs_01_1808__i18960725712">User</em><em id="mrs_01_1808__i89601321574">Oozie</em></p>
+</li><li id="mrs_01_1808__l5b95727d0d1e4588980e699579974e31">If the cluster is in normal mode, go to <a href="#mrs_01_1808__li1803152871315">5</a>.</li></ul>
+</p></li><li id="mrs_01_1808__li1803152871315"><a name="mrs_01_1808__li1803152871315"></a><a name="li1803152871315"></a><span>Upload the Oozie configuration file and JAR package to HDFS.</span><p><p id="mrs_01_1808__p3946938518147"><strong id="mrs_01_1808__b4106653818388">hdfs dfs -mkdir /user/</strong><em id="mrs_01_1808__i364170301826">User</em><em id="mrs_01_1808__i11736592320">Oozie</em></p>
+<p id="mrs_01_1808__p2079044118221"><strong id="mrs_01_1808__b438718500466">hdfs dfs -put -f /opt/client/Oozie/oozie-client-</strong>*<strong id="mrs_01_1808__b63871850184614">/examples /user/</strong><em id="mrs_01_1808__i1125811614313">User</em><em id="mrs_01_1808__i1425813165312">Oozie</em>/</p>
+<div class="note" id="mrs_01_1808__note192214710317"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1808__ul1962208173216"><li id="mrs_01_1808__li3962208153217"><strong id="mrs_01_1808__b1716441216574">/opt</strong><strong id="mrs_01_1808__b1516141835714">/client/</strong> is an example client installation directory. Change it to the actual installation directory.</li><li id="mrs_01_1808__li645319422329"><strong id="mrs_01_1808__b0393648165711">UserOozie</strong> indicates the name of the user who submits jobs.</li></ul>
+</div></div>
+</p></li><li id="mrs_01_1808__li24851666115553"><span>Run the following commands to modify the job execution configuration file:</span><p><p id="mrs_01_1808__p22338403115553"><strong id="mrs_01_1808__b2377111134720">cd /opt/client/Oozie/oozie-client-</strong>*<strong id="mrs_01_1808__b1237771116476">/examples/apps/map-reduce/</strong></p>
+<p id="mrs_01_1808__p66827906115553"><strong id="mrs_01_1808__b59112663151320">vi job.properties</strong></p>
+<pre class="screen" id="mrs_01_1808__screen599219511444"><strong id="mrs_01_1808__b73665204124">nameNode=hdfs://hacluster</strong>
+<strong id="mrs_01_1808__b7521119154010">resourceManager=</strong><strong id="mrs_01_1808__b35225974012"><em id="mrs_01_1808__i63617519115553">10.64.35.161</em></strong><strong id="mrs_01_1808__b1452217918404">:</strong><strong id="mrs_01_1808__b5522159194017"></strong><strong id="mrs_01_1808__b16522890403">8032</strong> (<strong id="mrs_01_1808__b4803131119563">10.64.35.161</strong> is the service plane IP address of the Yarn resourceManager (active) node, and 8032 is the port number of <strong id="mrs_01_1808__b1480471145615">yarn.resourcemanager.port</strong>)
+<strong id="mrs_01_1808__b17973524161215">queueName=default</strong>
+<strong id="mrs_01_1808__b283727101214">examplesRoot=examples</strong>
+<strong id="mrs_01_1808__b75472299129">user.name=admin</strong>
+<strong id="mrs_01_1808__b985953371211">oozie.wf.application.path=${nameNode}/user/${user.name}/${examplesRoot}/apps/map-reduce# HDFS upload path</strong>
+outputDir=map-reduce
+oozie.wf.rerun.failnodes=true</pre>
+</p></li><li id="mrs_01_1808__li13330247115553"><span>Run the following command to execute the Oozie job:</span><p><p id="mrs_01_1808__p52863363115553"><strong id="mrs_01_1808__b4708420132">oozie job -oozie https://</strong><em id="mrs_01_1808__i19718491313">Host name of the Oozie role</em><strong id="mrs_01_1808__b97110491316">:21003/oozie/ -config job.properties -run</strong></p>
+<pre class="screen" id="mrs_01_1808__screen714121313596">[root@kwephispra44947 map-reduce]# oozie job -oozie https://kwephispra44948:21003/oozie/ -config job.properties -run
+......
+job: 0000000-200730163829770-oozie-omm-W</pre>
+</p></li><li id="mrs_01_1808__li217311115252"><span>Log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>.</span></li><li id="mrs_01_1808__li1344541512516"><span>Choose <strong id="mrs_01_1808__b130510565577">Cluster</strong> &gt; <em id="mrs_01_1808__i122975593575">Name of the desired cluster</em> &gt; <strong id="mrs_01_1808__b2096284135815">Services</strong> &gt; <strong id="mrs_01_1808__b148832765817">Oozie</strong>, click the hyperlink next to <strong id="mrs_01_1808__b1086081411584">Oozie WebUI</strong> to go to the Oozie page, and view the task execution result on the Oozie web UI.</span><p><div class="fignone" id="mrs_01_1808__fig128811421154318"><span class="figcap"><b>Figure 1 </b>Task execution result</span><br><span><img id="mrs_01_1808__image11195195444217" src="en-us_image_0000001387862162.png"></span></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1807.html">Using Oozie</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1810.html b/docs/mrs/component-operation-guide/mrs_01_1810.html
new file mode 100644
index 000000000..09063290c
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1810.html
@@ -0,0 +1,33 @@
+<a name="mrs_01_1810"></a><a name="mrs_01_1810"></a>
+
+<h1 class="topictitle1">Using the Oozie Client</h1>
+<div id="body1591347168519"><div class="section" id="mrs_01_1810__s73cc65a7fbfb4321ab80199959561d37"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1810__p31988244142918">This section describes how to use the Oozie client in an O&amp;M scenario or service scenario. </p>
+</div>
+<div class="section" id="mrs_01_1810__s2da0086f0bc84bb69150a5cd50f8a24f"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1810__ul85174425211"><li id="mrs_01_1810__l5bccbfc9af3b4643bd8aac6a2ba50381">The client has been installed. For example, the installation directory is <strong id="mrs_01_1810__b13031695810">/opt</strong><strong id="mrs_01_1810__b2013161586"></strong><strong id="mrs_01_1810__b100131617586">/client</strong>. The client directory in the following operations is only an example.</li></ul>
+<ul id="mrs_01_1810__u6f74231be4d240e8a43d1631aed73288"><li id="mrs_01_1810__la8a352e20c414015a0e60f8023ecc0a5">Service component users are created by the administrator as required. In security mode, machine-machine users need to download the keytab file. A human-machine user must change the password upon the first login.</li></ul>
+</div>
+<div class="section" id="mrs_01_1810__s0af1abfd047941a29aaddd2a713d338b"><h4 class="sectiontitle">Using the Oozie Client</h4><ol id="mrs_01_1810__o8f383d142b304bd78240463e3853fcc9"><li id="mrs_01_1810__l6109f1763aad473e9edba417b410db5b"><span>Log in to the node where the client is installed as the client installation user.</span></li><li id="mrs_01_1810__l1cfc094e3573492b8624ed13e10e00f5"><span>Run the following command to switch to the client installation directory (change it to the actual installation directory):</span><p><p id="mrs_01_1810__a42ca79399e7d4e2fa6891cfe15b49a06"><strong id="mrs_01_1810__a5794dab6880b412f86fe90a137992e5b">cd /opt/client</strong></p>
+</p></li><li id="mrs_01_1810__ldc4dc92d64ef41a78f0e483a058f6147"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_1810__a0f7284074ef6400eac7ed1a745a3ec6d"><strong id="mrs_01_1810__abfe8c835946f4d87855400af0df9a1e3">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_1810__lc10513c57e21483ab2a387e67e6f75d2"><span>Check the cluster authentication mode.</span><p><ul id="mrs_01_1810__u67315135e30d4f01b0f494e43d068f26"><li id="mrs_01_1810__lb3ba529a419944b09a3fb14b13c05ec4">If the cluster is in security mode, run the following command to authenticate the user: <em id="mrs_01_1810__i451021241415">exampleUser</em> indicates the name of the user who submits tasks.<p id="mrs_01_1810__a4da6b34e80fa48fd884a26cbcc0a01d5"><strong id="mrs_01_1810__a018e75eef98c47e6badc55c9dbe1cdc7">kinit</strong> <em id="mrs_01_1810__i68591727111815">exampleUser</em></p>
+</li><li id="mrs_01_1810__l5b95727d0d1e4588980e699579974e31">If the cluster is in normal mode, go to <a href="#mrs_01_1810__li1585491617519">5</a>.</li></ul>
+</p></li><li id="mrs_01_1810__li1585491617519"><a name="mrs_01_1810__li1585491617519"></a><a name="li1585491617519"></a><span>Perform the following operations to configure Hue:</span><p><ol type="a" id="mrs_01_1810__ol12859121181315"><li id="mrs_01_1810__li1069215552717">Configure the Spark2x environment (skip this step if the Spark2x task is not involved):<p id="mrs_01_1810__p6622185619715"><a name="mrs_01_1810__li1069215552717"></a><a name="li1069215552717"></a><strong id="mrs_01_1810__b6102184718819">hdfs dfs -put /opt/client/Spark2x/spark/jars/*.jar /user/oozie/share/lib/spark2x/</strong></p>
+<p id="mrs_01_1810__p82699721319">When the JAR package in the HDFS directory <strong id="mrs_01_1810__b108846166297">/user/oozie/share</strong> changes, you need to restart the Oozie service.</p>
+</li><li id="mrs_01_1810__li1803152871315">Upload the Oozie configuration file and JAR package to HDFS.<p id="mrs_01_1810__p3946938518147"><a name="mrs_01_1810__li1803152871315"></a><a name="li1803152871315"></a><strong id="mrs_01_1810__b4106653818388">hdfs dfs -mkdir /user/</strong><em id="mrs_01_1810__i364170301826">exampleUser</em></p>
+<p id="mrs_01_1810__p2079044118221"><strong id="mrs_01_1810__b56956942183813">hdfs dfs -put -f /opt/client/Oozie/oozie-client-*/examples /user/</strong><em id="mrs_01_1810__i820788818226">exampleUser</em>/</p>
+<div class="note" id="mrs_01_1810__note31403175101542"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1810__ul53322783101827"><li id="mrs_01_1810__li27228022101827"><em id="mrs_01_1810__i114751419567">exampleUser</em> indicates the name of the user who submits tasks.</li><li id="mrs_01_1810__li64188474101827">If the user who submits the task and other files except <strong id="mrs_01_1810__b71037392022">job.properties</strong> are not changed, client installation directory <strong id="mrs_01_1810__b121032391526">Oozie/oozie-client-*/examples</strong> can be repeatedly used after being uploaded to HDFS.</li><li id="mrs_01_1810__li666901714394">Resolve the JAR file conflict between Spark and Yarn about Jetty.<p id="mrs_01_1810__p208701446103910"><a name="mrs_01_1810__li666901714394"></a><a name="li666901714394"></a><strong id="mrs_01_1810__b177751819194015">hdfs dfs -rm -f /user/oozie/share/lib/spark/jetty-all-9.2.22.v20170606.jar</strong></p>
+</li><li id="mrs_01_1810__li44918696101827">In normal mode, if <span class="parmname" id="mrs_01_1810__parmname42752465417"><b>Permission denied</b></span> is displayed during the upload, run the following commands:<p id="mrs_01_1810__p46216406101833"><strong id="mrs_01_1810__b1033717101912">su - omm</strong></p>
+<p id="mrs_01_1810__p51904221101834"><strong id="mrs_01_1810__b53202965101912">source /opt/client/bigdata_env</strong></p>
+<p id="mrs_01_1810__p45366238101835"><strong id="mrs_01_1810__b8248641101912">hdfs dfs -chmod -R 777 /user/oozie</strong></p>
+<p id="mrs_01_1810__p171444251800"><strong id="mrs_01_1810__b136741233502">exit</strong></p>
+</li></ul>
+</div></div>
+</li></ol>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1807.html">Using Oozie</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1812.html b/docs/mrs/component-operation-guide/mrs_01_1812.html
new file mode 100644
index 000000000..feec2b07e
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1812.html
@@ -0,0 +1,23 @@
+<a name="mrs_01_1812"></a><a name="mrs_01_1812"></a>
+
+<h1 class="topictitle1">Using Oozie Client to Submit an Oozie Job</h1>
+<div id="body1591347168521"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1813.html">Submitting a Hive Job</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1814.html">Submitting a Spark2x Job</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1815.html">Submitting a Loader Job</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2392.html">Submitting a DistCp Job</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1816.html">Submitting Other Jobs</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1807.html">Using Oozie</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1813.html b/docs/mrs/component-operation-guide/mrs_01_1813.html
new file mode 100644
index 000000000..cd88251b4
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1813.html
@@ -0,0 +1,73 @@
+<a name="mrs_01_1813"></a><a name="mrs_01_1813"></a>
+
+<h1 class="topictitle1">Submitting a Hive Job</h1>
+<div id="body1591347168562"><div class="section" id="mrs_01_1813__sa79fbfc891004a179072198992e6e5a1"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1813__a89611c31dbc04c9d9f558f0a3e21c009">This section describes how to use the Oozie client to submit a Hive job.</p>
+<p id="mrs_01_1813__a0eb57d8bbc414052a1433142567f80dc">Hive jobs are divided into the following types:</p>
+<ul id="mrs_01_1813__u8b40331b39f54db4bfb54c53d62bfdd2"><li id="mrs_01_1813__l7e6205b63ae041699826204f79d08b23">Hive job<p id="mrs_01_1813__a4bd74c4fcd93412db1acbda899c6f729"><a name="mrs_01_1813__l7e6205b63ae041699826204f79d08b23"></a><a name="l7e6205b63ae041699826204f79d08b23"></a>Hive job that is connected in JDBC mode</p>
+</li><li id="mrs_01_1813__l5f152bccff9d4e01ba9fa00c484eb4a0">Hive2 job<p id="mrs_01_1813__a798abcf307a841cab32c08415ee52e02"><a name="mrs_01_1813__l5f152bccff9d4e01ba9fa00c484eb4a0"></a><a name="l5f152bccff9d4e01ba9fa00c484eb4a0"></a>Hive job that is connected in Beeline mode</p>
+</li></ul>
+<p id="mrs_01_1813__af811c9e48f3245ddb87a15c19bef4cf9">This section describes how to submit a Hive job using the Oozie client.</p>
+<div class="note" id="mrs_01_1813__n05d79ebe028b4a00b426ebe400c8a486"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1813__ue61288aa93444798a0e53c49a0152b6d"><li id="mrs_01_1813__lcd52fd0589dd4d2688d7899fd5321435">The procedure for submitting a Hive2 job using the Oozie client is the same as that for submitting a Hive job. You only need to change <span class="parmname" id="mrs_01_1813__parmname14940848121815"><b>/Hive</b></span> in the procedure to <span class="parmname" id="mrs_01_1813__parmname89451148131815"><b>/Hive2</b></span>.<p id="mrs_01_1813__a57189cae88564c34ae3c36cf459dd32a">For example, if the Hive job running directory is <span class="filepath" id="mrs_01_1813__f79db6bcb85084ddc88da53cd3ac1d896"><b>/opt/<span id="mrs_01_1813__text231611534315">client</span>/Oozie/oozie-client-*/examples/apps/hive/</b></span>, then the running directory of Hive2 is <span class="filepath" id="mrs_01_1813__fc622fed08a874a479c54b717129177f6"><b>/opt/<span id="mrs_01_1813__text484012396517">c</span>lient/Oozie/oozie-client-*/examples/apps/hive2/</b></span>.</p>
+</li><li id="mrs_01_1813__l993078ca7ebb4bf291224f63d8569426">You are advised to download the latest client.</li></ul>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1813__sb52bb05ffef14e688e3d95328da1e71a"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1813__u518439d6edd24317a88b2e4eca6bd24a"><li id="mrs_01_1813__led6c45c3a68f4b2fb6ed03edd765f7c5">The Hive and Oozie components and clients have been installed and are running properly.</li><li id="mrs_01_1813__l0f3202130e4f4126b47913447d80d1b9">You have created or obtained the human-machine account and password for accessing the Oozie service.<div class="note" id="mrs_01_1813__note315568028334"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1813__ul155757648334"><li id="mrs_01_1813__li59641568334">This user must belong to the <strong id="mrs_01_1813__b85271739121916">hadoop</strong>, <strong id="mrs_01_1813__b1753293941912">supergroup</strong>, and <strong id="mrs_01_1813__b1653312391196">hive</strong> groups and be assigned with the Oozie role operation permission. If the multi-instance function is enabled for Hive, the user must belong to a specific Hive instance group, for example, <strong id="mrs_01_1813__b2910134615191">hive3</strong>.</li><li id="mrs_01_1813__li536774108334">This user must also be assigned the <strong id="mrs_01_1813__b19576105281918">manager_viewer</strong> role at least.</li></ul>
+</div></div>
+</li><li id="mrs_01_1813__l67e29a0db3d64a01ba3c8f8a242fffe2">You have obtained the URL of the Oozie server (any instance) in the running state, for example, <strong id="mrs_01_1813__b21555851918">https://10.1.130.10:21003/oozie</strong>.</li><li id="mrs_01_1813__l99b45eddd6bd47d3bb30ccde42dd5c80">You have obtained the name of the Oozie server, for example, <strong id="mrs_01_1813__b107523622014">10-1-130-10</strong>.</li><li id="mrs_01_1813__l33cbb5dabf1d4b61ac772fc3ec3c3e4a">You have obtained the IP address of the active Yarn ResourceManager, for example, <strong id="mrs_01_1813__b5937152732019">10.1.130.11</strong>.</li></ul>
+</div>
+<div class="section" id="mrs_01_1813__s36e7c96ddcf84fce9dc8e4fe9a59b187"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1813__o9c583a464a8241e4a3c14c5999fa0dbb"><li id="mrs_01_1813__lf6da6ca4845648b0bdb6aba37ae12697"><span>Log in to the node where the Oozie client is installed as the client installation user.</span></li><li id="mrs_01_1813__l55e93b01787342e58cabb1fa5bb9ec26"><span>Run the following command to obtain the installation environment. <span class="filepath" id="mrs_01_1813__f1d6036b32a974054bd3ccaf4f2b6cf56"><b>/opt/<span id="mrs_01_1813__text12646155711512">c</span>lient/</b></span> is an example client installation path.</span><p><p id="mrs_01_1813__af5b53099d5fd4014acfa3f00e9cab8e8"><strong id="mrs_01_1813__a99007b20226a48b4afedc8e77fcdfcd9">source /opt/client/bigdata_env</strong></p>
+</p></li><li id="mrs_01_1813__l4e2ff2ca52d14deda1a13b7710c8629b"><span>Check the cluster authentication mode.</span><p><ul id="mrs_01_1813__u3e34c12bdff2410794dcedbbc50e9fc9"><li id="mrs_01_1813__ld3d266cadddb40d5a4744a5ef13dd183">If the cluster is in security mode, run the <strong id="mrs_01_1813__b1169913672111">kinit</strong> command to authenticate users.<p id="mrs_01_1813__a0f33fbb3e4614cf2b612db9c74ed258f">For example, the <strong id="mrs_01_1813__b141147101216">oozieuser</strong> user is authenticated using the following command:</p>
+<p id="mrs_01_1813__abd05f9679672432489e3e30bac99aaec"><strong id="mrs_01_1813__b1491705310358">kinit oozieuser</strong></p>
+</li><li id="mrs_01_1813__l4d82835ce8874479a683cab82b3d8b2f">If the cluster is in normal mode, go to <a href="#mrs_01_1813__l3776b8e1e65745afb4922494b3c8d467">4</a>.</li></ul>
+</p></li><li id="mrs_01_1813__l3776b8e1e65745afb4922494b3c8d467"><a name="mrs_01_1813__l3776b8e1e65745afb4922494b3c8d467"></a><a name="l3776b8e1e65745afb4922494b3c8d467"></a><span>Run the following command to go to the example directory:</span><p><p id="mrs_01_1813__aa461b17e86f5451188da24c0055b467b"><strong id="mrs_01_1813__b450182254014">cd /opt/client/Oozie/oozie-client-</strong>*<strong id="mrs_01_1813__b85072218402">/examples/apps/hive/</strong></p>
+<p id="mrs_01_1813__a5c14e5fb56c042f7a42ce16931b93d4a"><a href="#mrs_01_1813__t4392ed6fbf084b2ebdccfa4455b75503">Table 1</a> lists the files that you need to pay attention to in the directory.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1813__t4392ed6fbf084b2ebdccfa4455b75503"></a><a name="t4392ed6fbf084b2ebdccfa4455b75503"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1813__t4392ed6fbf084b2ebdccfa4455b75503" frame="border" border="1" rules="all"><caption><b>Table 1 </b>File description</caption><thead align="left"><tr id="mrs_01_1813__r7f2f35e645954db789976070a82b9542"><th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.3.2.4.2.3.2.3.1.1"><p id="mrs_01_1813__a5dc6d920e0c741f3aa3b372a76691ef4">File</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.3.2.4.2.3.2.3.1.2"><p id="mrs_01_1813__a814399561518498ab492dcfc7aa720e8">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1813__r92482a29b41841d69bed1525327cb5b1"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.4.2.3.2.3.1.1 "><p id="mrs_01_1813__add7cffefe94f42168d4e7f1bcf15993c">hive-site.xml</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.4.2.3.2.3.1.2 "><p id="mrs_01_1813__a7ccd5a96889f4c73986abb9304b2bca2">Configuration file of a Hive job</p>
+</td>
+</tr>
+<tr id="mrs_01_1813__rd76fec8ec015432b884c167db1a32c86"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.4.2.3.2.3.1.1 "><p id="mrs_01_1813__a35665aba7fed4fc9998b996e944bddf7">job.properties</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.4.2.3.2.3.1.2 "><p id="mrs_01_1813__a313dfce450f84037ac9691d3c4d7fb7e">Parameter definition file of a workflow</p>
+</td>
+</tr>
+<tr id="mrs_01_1813__re0994b3e26504cecbaa2e6740ae76f2f"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.4.2.3.2.3.1.1 "><p id="mrs_01_1813__a3cb92531c1884d3ea69f32292dba54f3">script.q</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.4.2.3.2.3.1.2 "><p id="mrs_01_1813__a10448fc139df4463829f0935a4da54d5">SQL script of a Hive job</p>
+</td>
+</tr>
+<tr id="mrs_01_1813__r2106d015973e4da3bb2428c400be731f"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.4.2.3.2.3.1.1 "><p id="mrs_01_1813__aa9ca45b824304cbd8c1a10e6f57c991c">workflow.xml</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.4.2.3.2.3.1.2 "><p id="mrs_01_1813__aaed0229985894fccbadd637b3fbab6dc">Rule definition file of a workflow</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_1813__l18a5e0b49401437db9ba7c752d2c8b47"><span>Run the following command to edit the <span class="filepath" id="mrs_01_1813__filepath432659172111"><b>job.properties</b></span> file:</span><p><p id="mrs_01_1813__a23e751d5b384459ba367912de55b147b"><strong id="mrs_01_1813__a4e9bffaabe8646f386e5073a1e12a5ed">vi job.properties</strong></p>
+<p id="mrs_01_1813__aa1bf7cbd6cc0415cafdd369d6e2adead">Perform the following modifications:</p>
+<p id="mrs_01_1813__a6d1ac6aec8ca423c922077bb32632787">Change the value of <span class="parmname" id="mrs_01_1813__parmname396458192213"><b>userName</b></span> to the name of the human-machine user who submits the job, for example, <span class="parmvalue" id="mrs_01_1813__parmvalue297018818227"><b>userName=oozieuser</b></span>.</p>
+</p></li><li id="mrs_01_1813__l8fcb5a5e16d04791a32236b7ecb23655"><span>Run the <strong id="mrs_01_1813__b07701308232">oozie job</strong> command to run the workflow file:</span><p><p id="mrs_01_1813__p54529342154411"><strong id="mrs_01_1813__b466213102313">oozie job -oozie https://</strong><em id="mrs_01_1813__i176677312235">Host name of the Oozie role</em><strong id="mrs_01_1813__b19668173122312">:21003/oozie/ -config job.properties -run</strong></p>
+<div class="note" id="mrs_01_1813__n5cda98303d794a588475ad29cda3d7f4"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1813__udb2d566703084af08560cb3b6b4113b9"><li id="mrs_01_1813__lf9fe407748134a4da8943c0d7134eaae">The command parameters are described as follows:<p id="mrs_01_1813__a53e54d88bb5b4bfc8fb3a25206fc1e29"><a name="mrs_01_1813__lf9fe407748134a4da8943c0d7134eaae"></a><a name="lf9fe407748134a4da8943c0d7134eaae"></a><strong id="mrs_01_1813__b637181019237">-oozie</strong>                    URL of the Oozie server that executes a job</p>
+<p id="mrs_01_1813__a29c29d4de75c4ef3a36d6910cbc7ef5e"><strong id="mrs_01_1813__b737213237238">-config</strong>                  Workflow property file</p>
+<p id="mrs_01_1813__a65431621b80b4852a76eca834b0b4e09"><strong id="mrs_01_1813__b17204026132310">-run</strong>                       Executing a workflow</p>
+</li><li id="mrs_01_1813__lc32ce00634484f1eb82cc3cc2e469ccc">If a job ID, for example, <strong id="mrs_01_1813__b13789828152319">job: 0000021-140222101051722-oozie-omm-W</strong>, is displayed after the workflow file is executed, the job is successfully submitted. You can view the execution results on the Oozie management page.<p id="mrs_01_1813__ab5441363567e41959e26559c9e8e1c0a">Log in to the Oozie web UI at <strong id="mrs_01_1813__b42231543122316">https</strong>://<em id="mrs_01_1813__i322974362310">IP address of the Oozie role</em><strong id="mrs_01_1813__b10230043112313">:21003/oozie</strong> as user <strong id="mrs_01_1813__b223014392312">oozieuser</strong>.</p>
+<p id="mrs_01_1813__a0534c3cd42c94f1dbecb97a4fef54e82">On the Oozie web UI, you can view the submitted workflow information based on the job ID in the table on the page.</p>
+</li></ul>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1812.html">Using Oozie Client to Submit an Oozie Job</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1814"></a><a name="mrs_01_1814"></a>
+
+<h1 class="topictitle1">Submitting a Spark2x Job</h1>
+<div id="body1591347168652"><div class="section" id="mrs_01_1814__sc367440a9bee4ae9a15baede2902cc54"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1814__ae05864fc43454b69888e41725935e74b">This section describes how to submit a Spark2x job using the Oozie client.</p>
+<div class="note" id="mrs_01_1814__n55f8e36fffd341878eb6390e2a633e8f"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1814__a5d75fccba647482fb315a28ee027d87a">You are advised to download the latest client.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1814__s03008bf64de9424c83937093f6557919"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1814__u6075e1bead804d118aeb83a52bc084ca"><li id="mrs_01_1814__l59e2fa74571d485bb4861d104ade63ea">The Spark2x and Oozie components and clients have been installed and are running properly.<p id="mrs_01_1814__a809de3689b214dd0bdc79d7e35fbae9c"><a name="mrs_01_1814__l59e2fa74571d485bb4861d104ade63ea"></a><a name="l59e2fa74571d485bb4861d104ade63ea"></a>If the current client is an earlier version, you need to download and install the client again.</p>
+</li><li id="mrs_01_1814__l8ff319393ec949d9ae45feea7e19d290">You have created or obtained the human-machine account and password for accessing the Oozie service.<div class="note" id="mrs_01_1814__note315568028334"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1814__ul155757648334"><li id="mrs_01_1814__li59641568334">This user must belong to the <strong id="mrs_01_1814__b1427217510243">hadoop</strong>, <strong id="mrs_01_1814__b6278135118247">supergroup</strong>, and <strong id="mrs_01_1814__b122781551132411">hive</strong> groups and be assigned with the Oozie role operation permission. If the multi-instance function is enabled for Hive, the user must belong to a specific Hive instance group, for example, <strong id="mrs_01_1814__b134031359182410">hive3</strong>.</li><li id="mrs_01_1814__li536774108334">This user must also be assigned the <strong id="mrs_01_1814__b141251942257">manager_viewer</strong> role at least.</li></ul>
+</div></div>
+</li></ul>
+</div>
+<ul id="mrs_01_1814__ul589917804210"><li id="mrs_01_1814__l67e29a0db3d64a01ba3c8f8a242fffe2">You have obtained the URL of the Oozie server (any instance) in the running state, for example, <strong id="mrs_01_1814__b79741712516">https://10.1.130.10:21003/oozie</strong>.</li><li id="mrs_01_1814__l99b45eddd6bd47d3bb30ccde42dd5c80">You have obtained the name of the Oozie server, for example, <strong id="mrs_01_1814__b10537161213256">10-1-130-10</strong>.</li><li id="mrs_01_1814__l33cbb5dabf1d4b61ac772fc3ec3c3e4a">You have obtained the IP address of the active Yarn ResourceManager, for example, <strong id="mrs_01_1814__b1933617156253">10.1.130.11</strong>.</li></ul>
+<div class="section" id="mrs_01_1814__section737612414426"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1814__oc881cfc28d414306af1adbbbf4a00b1b"><li id="mrs_01_1814__l7935c910b03545e0a5867ca4d3b2c006"><span>Log in to the node where the Oozie client is installed as the client installation user.</span></li><li id="mrs_01_1814__lfce2496a67db4306afc7110e3058abea"><span>Run the following command to obtain the installation environment. <span class="filepath" id="mrs_01_1814__f1995adbdd35741e6a3a9f62f7fb7a90b"><b>/opt/client/</b></span> is an example client installation path.</span><p><p id="mrs_01_1814__a9fe0ea3f05954692816d1ed270ff6e25"><strong id="mrs_01_1814__ad8409f5d475a4974b1a119c7e03644bc">source /opt/client/bigdata_env</strong></p>
+</p></li><li id="mrs_01_1814__l1875b9398af340e1844211cfd2f8272d"><span>Check the cluster authentication mode.</span><p><ul id="mrs_01_1814__u553e435dd8f84be8a18ff92d6d24725a"><li id="mrs_01_1814__ld507b00926e44383b9343a4bc2adbeb3">If the cluster is in security mode, run the <strong id="mrs_01_1814__b152721325257">kinit</strong> command to authenticate users.<p id="mrs_01_1814__a6f9517958c83424ea524bf7781acc911">For example, the <strong id="mrs_01_1814__b1986318333252">oozieuser</strong> user is authenticated using the following command:</p>
+<p id="mrs_01_1814__ae4d53a149513466187a4bf7a3651dda3"><strong id="mrs_01_1814__b218349103537">kinit oozieuser</strong></p>
+</li><li id="mrs_01_1814__l4c6e11eac05d4977a9b756054fd46659">If the cluster is in normal mode, go to <a href="#mrs_01_1814__lcc62479277a945d99a305c3a8402a40d">4</a>.</li></ul>
+</p></li><li id="mrs_01_1814__lcc62479277a945d99a305c3a8402a40d"><a name="mrs_01_1814__lcc62479277a945d99a305c3a8402a40d"></a><a name="lcc62479277a945d99a305c3a8402a40d"></a><span>Run the following command to go to the example directory:</span><p><p id="mrs_01_1814__a6a361a015c424467b72a12dcbb292aaf"><strong id="mrs_01_1814__a2ec98494ecb742d3aa186b2d18928c32">cd /opt/client/Oozie/oozie-client-*/examples/apps/spark2x/</strong></p>
+<p id="mrs_01_1814__aa736f6a3b96b40c0b60acd1d8626c64f"><a href="#mrs_01_1814__ta1113e97d79c4106a91f5e20da6899e0">Table 1</a> lists the files that you need to pay attention to in the directory.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1814__ta1113e97d79c4106a91f5e20da6899e0"></a><a name="ta1113e97d79c4106a91f5e20da6899e0"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1814__ta1113e97d79c4106a91f5e20da6899e0" frame="border" border="1" rules="all"><caption><b>Table 1 </b>File description</caption><thead align="left"><tr id="mrs_01_1814__r4aa1a6ae8d4346328f92540884cca876"><th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.4.2.4.2.3.2.3.1.1"><p id="mrs_01_1814__a16a9e33c6cbd4b898c5205ffd33d6036">File</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.4.2.4.2.3.2.3.1.2"><p id="mrs_01_1814__ab8b5f25780904c488a54fa26e79a8446">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1814__rdb5a7205478d49d7a5ff58bb41798174"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.4.2.3.2.3.1.1 "><p id="mrs_01_1814__afb57a440373e48b8b06b50fa052385c7">job.properties</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.4.2.3.2.3.1.2 "><p id="mrs_01_1814__aa99f6c5fc08a4b558f4f5b658f73af02">Parameter definition file of a workflow</p>
+</td>
+</tr>
+<tr id="mrs_01_1814__r280e2c0ce768422d970506fb7530754e"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.4.2.3.2.3.1.1 "><p id="mrs_01_1814__a11a9d0dfd7c34ae2bbef3a5513508fa0">workflow.xml</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.4.2.3.2.3.1.2 "><p id="mrs_01_1814__a6b5bf5dcae684e0c878e0c5c4afa0832">Rule definition file of a workflow</p>
+</td>
+</tr>
+<tr id="mrs_01_1814__rdbc872b81a5042f1aef9b58013f286ff"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.4.2.3.2.3.1.1 "><p id="mrs_01_1814__a7605b6504ca144279277c82abe906f31">lib</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.4.2.3.2.3.1.2 "><p id="mrs_01_1814__a27f23152fa1244429fc40a22cee450d1">Directory of the JAR file on which a workflow depends</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_1814__lc81b755786704225844019d5c86d4966"><span>Run the following command to edit the <span class="filepath" id="mrs_01_1814__filepath180475414251"><b>job.properties</b></span> file:</span><p><p id="mrs_01_1814__aeb6f21eba3514b47a2fa841358454342"><strong id="mrs_01_1814__aba9fb7bb776346d8a3aeeeccee1188bb">vi job.properties</strong></p>
+<p id="mrs_01_1814__a8f8cfb46c2c24c45b7a75afcc79efba6">Perform the following modifications:</p>
+<p id="mrs_01_1814__p934881516612">Change the value of <span class="parmname" id="mrs_01_1814__parmname11254125919257"><b>userName</b></span> to the name of the human-machine user who submits the job, for example, <span class="parmvalue" id="mrs_01_1814__parmvalue2025975962513"><b>userName=oozieuser</b></span>.</p>
+</p></li><li id="mrs_01_1814__lcabd43b3fb314898bc19ded29c90a2b3"><span>Run the <strong id="mrs_01_1814__b2045982122618">oozie job</strong> command to run the workflow file:</span><p><p id="mrs_01_1814__p54529342154411"><strong id="mrs_01_1814__b154661143260">oozie job -oozie https://</strong><em id="mrs_01_1814__i12467245263">Host name of the Oozie role</em><strong id="mrs_01_1814__b204676412269">:21003/oozie/ -config job.properties -run</strong></p>
+<div class="note" id="mrs_01_1814__nab1e7bedb6514357b2d857cdd437f4c6"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1814__u505e120ab7fc4d7dada573bbfaf0fb3a"><li id="mrs_01_1814__lb21c9804740942e0b20f979562530dfc">The command parameters are described as follows:<p id="mrs_01_1814__add0178af9cb74a7c8bc43ccde17e8056"><a name="mrs_01_1814__lb21c9804740942e0b20f979562530dfc"></a><a name="lb21c9804740942e0b20f979562530dfc"></a><strong id="mrs_01_1814__b740627192618">-oozie</strong>                    URL of the Oozie server that executes a job</p>
+<p id="mrs_01_1814__ac71440e8b53147bcb42b441a9d6f02cf"><strong id="mrs_01_1814__b5494692263">-config</strong>                  Workflow property file</p>
+<p id="mrs_01_1814__a80ac946821e648c8b67f4d19e7a48dc0"><strong id="mrs_01_1814__b78083104266">-run</strong>                       Executing a workflow</p>
+</li><li id="mrs_01_1814__l8c662c9385fb4673b33ebe1261d2f945">If a job ID, for example, <span class="parmvalue" id="mrs_01_1814__parmvalue101681112102616"><b>job: 0000021-140222101051722-oozie-omm-W</b></span>, is displayed after the workflow file is executed, the job is successfully submitted. You can view the execution results on the Oozie management page.<p id="mrs_01_1814__a980a1632d7b44c7a819da7bd820778e9">Log in to the Oozie web UI at <strong id="mrs_01_1814__b1860091532614">https</strong>://<em id="mrs_01_1814__i146013155260">IP address of the Oozie role</em><strong id="mrs_01_1814__b146011215142619">:21003/oozie</strong> as user <strong id="mrs_01_1814__b18602121519262">oozieuser</strong>.</p>
+<p id="mrs_01_1814__afb508a57fb504357a1e2a1483d95a2e0">On the Oozie web UI, you can view the submitted workflow information based on the job ID in the table on the page.</p>
+</li></ul>
+</div></div>
+</p></li></ol>
+</div>
+<p id="mrs_01_1814__p8060118"></p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1812.html">Using Oozie Client to Submit an Oozie Job</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1815.html b/docs/mrs/component-operation-guide/mrs_01_1815.html
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+<a name="mrs_01_1815"></a><a name="mrs_01_1815"></a>
+
+<h1 class="topictitle1">Submitting a Loader Job</h1>
+<div id="body1591347168690"><div class="section" id="mrs_01_1815__sf9f0669ef0594cd6827a6a1945fa39a9"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1815__a08ffd82c40204fc993699dc7ae64074f">This section describes how to submit a Loader job using the Oozie client.</p>
+<div class="note" id="mrs_01_1815__n26baa769b8864badad9bbd55bf8b6be9"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1815__a05b297fa9fe84d8fad4eb4ccb71cceb5">You are advised to download the latest client.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1815__s2a4972530b7942d3884e8f2fd506720b"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1815__u2cd59a22b503403193bd3d459ca58582"><li id="mrs_01_1815__l5840702206d44a63a51b020bb5878697">The Hive and Oozie components and clients have been installed and are running properly.</li><li id="mrs_01_1815__l0e56a77e8e4949bea73a8807d9440792">You have created or obtained the human-machine account and password for accessing the Oozie service.<div class="note" id="mrs_01_1815__note315568028334"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1815__ul155757648334"><li id="mrs_01_1815__li59641568334">This user must belong to the <strong id="mrs_01_1815__b2651343172618">hadoop</strong>, <strong id="mrs_01_1815__b6711643162617">supergroup</strong>, and <strong id="mrs_01_1815__b271134314269">hive</strong> groups and be assigned with the Oozie role operation permission. If the multi-instance function is enabled for Hive, the user must belong to a specific Hive instance group, for example, <strong id="mrs_01_1815__b121884542619">hive3</strong>.</li><li id="mrs_01_1815__li536774108334">This user must also be assigned the <strong id="mrs_01_1815__b10823204662616">manager_viewer</strong> role at least.</li></ul>
+</div></div>
+</li><li id="mrs_01_1815__le943cf5dd33b43e2a6f966850543ace3">You have obtained the URL of the Oozie server (any instance) in the running state, for example, <strong id="mrs_01_1815__b8681748152612">https://10.1.130.10:21003/oozie</strong>.</li><li id="mrs_01_1815__l22ab7f9f32144d05a50b016af47e736f">You have obtained the name of the Oozie server, for example, <strong id="mrs_01_1815__b13425150202617">10-1-130-10</strong>.</li><li id="mrs_01_1815__lad6db5ec38cd4bbcb700e9b6a73ca8d5">You have obtained the IP address of the active Yarn ResourceManager, for example, <strong id="mrs_01_1815__b208881851152611">10.1.130.11</strong>.</li><li id="mrs_01_1815__l18579f5b7e0c4fd3a52ff594488af265">You have created a Loader job to be scheduled and obtained the job ID.</li></ul>
+</div>
+<div class="section" id="mrs_01_1815__s57ae1abcc818413d88ca1c2ae5e4a498"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1815__oa0e1ad1ca5ab4a83afb8b7e618984c20"><li id="mrs_01_1815__l09be4bd6fa7648d4a27e62aa97de13fc"><span>Log in to the node where the Oozie client is installed as the client installation user.</span></li><li id="mrs_01_1815__l6884fe8bf8994f48b3db8ffcaf746f88"><span>Run the following command to obtain the installation environment. <span class="filepath" id="mrs_01_1815__filepath75881114946"><b>/opt/<span id="mrs_01_1815__text165880143411">c</span>lient/</b></span> is an example client installation path.</span><p><p id="mrs_01_1815__a0f1b5d06f7874d8c9239c40161f7245b"><strong id="mrs_01_1815__ab1d979876452450ea8d987cbb0dab04d">source /opt/client/bigdata_env</strong></p>
+</p></li><li id="mrs_01_1815__l8700468e24024996a4149dc0a37eac8f"><span>Check the cluster authentication mode.</span><p><ul id="mrs_01_1815__u2bf63897c7a14c3886fc1a9702d01db4"><li id="mrs_01_1815__lded70913584c45d5bbbf9a2111c50c66">If the cluster is in security mode, run the <strong id="mrs_01_1815__b147451646172715">kinit</strong> command to authenticate users.<p id="mrs_01_1815__ac63c0a2720a842b59a4a9e6935b8aabf">For example, the <strong id="mrs_01_1815__b92011448102713">oozieuser</strong> user is authenticated using the following command:</p>
+<p id="mrs_01_1815__adafc8c7bf9614279b476239e9a6e1d77"><strong id="mrs_01_1815__b58933632103556">kinit oozieuser</strong></p>
+</li><li id="mrs_01_1815__lfb671433802145ed9dbadddd8dd9ff62">If the cluster is in normal mode, go to <a href="#mrs_01_1815__l91970df22ff342c59cfacd6aa7a436d9">4</a>.</li></ul>
+</p></li><li id="mrs_01_1815__l91970df22ff342c59cfacd6aa7a436d9"><a name="mrs_01_1815__l91970df22ff342c59cfacd6aa7a436d9"></a><a name="l91970df22ff342c59cfacd6aa7a436d9"></a><span>Run the following command to go to the example directory:</span><p><p id="mrs_01_1815__ae82d00e4d8684f0db9360c4b092fce7c"><strong id="mrs_01_1815__a5bd44a89e1894b34a19db5b11bc18cec">cd /opt/client/Oozie/oozie-client-*/examples/apps/sqoop/</strong></p>
+<p id="mrs_01_1815__a70fac9924e6b4fca9700586444fe6b9e"><a href="#mrs_01_1815__t088bd902005a48549ec48b463bbb9278">Table 1</a> lists the files that you need to pay attention to in the directory.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1815__t088bd902005a48549ec48b463bbb9278"></a><a name="t088bd902005a48549ec48b463bbb9278"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1815__t088bd902005a48549ec48b463bbb9278" frame="border" border="1" rules="all"><caption><b>Table 1 </b>File description</caption><thead align="left"><tr id="mrs_01_1815__rfa8e7a6c3b0640f180c2db60fdd1920a"><th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.3.2.4.2.3.2.3.1.1"><p id="mrs_01_1815__aeb6893b482ed4d0ba373c30516a41d53">File</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.3.2.4.2.3.2.3.1.2"><p id="mrs_01_1815__a1943b7073cfa4987861d1c84f54433d7">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1815__r65ee9aadf75c46419d92b20fa590cf1c"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.4.2.3.2.3.1.1 "><p id="mrs_01_1815__ac31f1a7cba1140ae81aae4d5c9895347">job.properties</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.4.2.3.2.3.1.2 "><p id="mrs_01_1815__ad60bfcbd20394dea84e7213e7df95aae">Parameter definition file of a workflow</p>
+</td>
+</tr>
+<tr id="mrs_01_1815__rf2ed451342e243f5abf92c275c5756f2"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.4.2.3.2.3.1.1 "><p id="mrs_01_1815__adee19255dea74de7bdb28071238d6d6c">workflow.xml</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.4.2.3.2.3.1.2 "><p id="mrs_01_1815__a40d65130d6cd489eb3f9c5f52344ab00">Rule definition file of a workflow</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_1815__l946a7b39c1dd43cb97999c6a4a27b9c3"><span>Run the following command to edit the <span class="filepath" id="mrs_01_1815__filepath18068212812"><b>job.properties</b></span> file:</span><p><p id="mrs_01_1815__a74bf1e98265248aea488442321f87af1"><strong id="mrs_01_1815__ae6dd1f9bbf3f46e5a85be18cabd6feb4">vi job.properties</strong></p>
+<p id="mrs_01_1815__aceb51a67f59649a7869cae14fd7eed14">Perform the following modifications:</p>
+<p id="mrs_01_1815__a2789dca82fc8454282fa1682532d8d5e">Change the value of <span class="parmname" id="mrs_01_1815__parmname176781766281"><b>userName</b></span> to the name of the human-machine user who submits the job, for example, <span class="parmvalue" id="mrs_01_1815__parmvalue186833616285"><b>userName=oozieuser</b></span>.</p>
+</p></li><li id="mrs_01_1815__la0c4783a49c74114a3e30cf0daaf48b8"><span>Run the following command to edit the <span class="filepath" id="mrs_01_1815__filepath1895614982815"><b>workflow.xml</b></span> file:</span><p><p id="mrs_01_1815__a4ee3d10d8dc347f083608772a8dea5c9"><strong id="mrs_01_1815__ada08fd41723d424e9722adec2f18a886">vi workflow.xml</strong></p>
+<p id="mrs_01_1815__a1cdca397ceb64663b77ffbefa44e285b">Perform the following modifications:</p>
+<p id="mrs_01_1815__a775c8a2a8c08448a9c86952df4af4140">Change the value of <span class="parmname" id="mrs_01_1815__parmname121341511281"><b>command</b></span> to the ID of the Loader job to be scheduled, for example, <strong id="mrs_01_1815__b191901511285">1</strong>.</p>
+<p id="mrs_01_1815__p12877195713449">Upload the <span class="filepath" id="mrs_01_1815__filepath19160161762816"><b>workflow.xml</b></span> file to the HDFS path in the <strong id="mrs_01_1815__b616131717287">job.properties</strong> file.</p>
+<p id="mrs_01_1815__p5195164518463"><strong id="mrs_01_1815__b3793153417255">hdfs dfs -put -f workflow.xml /user/userName/examples/apps/sqoop</strong></p>
+</p></li><li id="mrs_01_1815__l1159eb6dca804bb3911fc8b4d72bfb4f"><span>Run the <strong id="mrs_01_1815__b13652920132819">oozie job</strong> command to run the workflow file:</span><p><p id="mrs_01_1815__p54529342154411"><strong id="mrs_01_1815__b5549221152818">oozie job -oozie https://</strong><em id="mrs_01_1815__i1255002172814">Host name of the Oozie role</em><strong id="mrs_01_1815__b1755011219281">:21003/oozie/ -config job.properties -run</strong></p>
+<div class="note" id="mrs_01_1815__n5a47cb09ca3a450c83630135e7e94d6c"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1815__u6d4fc636f0704af8823958ca92189ab3"><li id="mrs_01_1815__la27e2a68012b44b8bab2b663cd1bcb24">The command parameters are described as follows:<p id="mrs_01_1815__add0178af9cb74a7c8bc43ccde17e8056"><a name="mrs_01_1815__la27e2a68012b44b8bab2b663cd1bcb24"></a><a name="la27e2a68012b44b8bab2b663cd1bcb24"></a><strong id="mrs_01_1815__b92301726172816">-oozie</strong>                    URL of the Oozie server that executes a job</p>
+<p id="mrs_01_1815__ac71440e8b53147bcb42b441a9d6f02cf"><strong id="mrs_01_1815__b1849919277289">-config</strong>                  Workflow property file</p>
+<p id="mrs_01_1815__a80ac946821e648c8b67f4d19e7a48dc0"><strong id="mrs_01_1815__b566129162813">-run</strong>                       Executing a workflow</p>
+</li><li id="mrs_01_1815__l6ff25fccfc6048aaa65465b9e8d3485d">If a job ID, for example, <strong id="mrs_01_1815__b1064530152813">job: 0000021-140222101051722-oozie-omm-W</strong>, is displayed after the workflow file is executed, the job is successfully submitted. You can view the execution results on the Oozie management page.<p id="mrs_01_1815__a1f83cb1187e44f6c82e4776e5c163925">Log in to the Oozie web UI at <strong id="mrs_01_1815__b3728338282">https</strong>://<em id="mrs_01_1815__i177723312810">IP address of the Oozie role</em><strong id="mrs_01_1815__b197813318283">:21003/oozie</strong> as user <strong id="mrs_01_1815__b167813372815">oozieuser</strong>.</p>
+<p id="mrs_01_1815__a9822d665c5c64c7bad8f238e6cbf0541">On the Oozie web UI, you can view the submitted workflow information based on the job ID in the table on the page.</p>
+</li></ul>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1812.html">Using Oozie Client to Submit an Oozie Job</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1816.html b/docs/mrs/component-operation-guide/mrs_01_1816.html
new file mode 100644
index 000000000..040bd5d16
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+++ b/docs/mrs/component-operation-guide/mrs_01_1816.html
@@ -0,0 +1,124 @@
+<a name="mrs_01_1816"></a><a name="mrs_01_1816"></a>
+
+<h1 class="topictitle1">Submitting Other Jobs</h1>
+<div id="body1591347168766"><div class="section" id="mrs_01_1816__s1c1e36ce13e5426abc3cd3531ba390aa"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1816__afc6acfb0597c49ec9efb76228af00887">In addition to Hive, Spark2x, and Loader jobs, MapReduce, Java, Shell, HDFS, SSH, SubWorkflow, Streaming, and scheduled jobs can be submitted using the Oozie client.</p>
+<div class="note" id="mrs_01_1816__nba5c808e1fb8407880609370781494e4"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1816__ace5fec53a0bc44bcb7c6e520e66c9585">You are advised to download the latest client.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1816__s4380d8b25bd04ff499a1360c982572f8"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1816__u6b695744b4a44d899e5372de89b099d0"><li id="mrs_01_1816__l36dd4642c4ab4215a7ab7571b9471184">The Oozie component and its client have been installed and are running properly.</li><li id="mrs_01_1816__l2edec5d9e8c4471abb7f9e8c9f03aadf">You have created or obtained the human-machine account and password for accessing the Oozie service.<div class="note" id="mrs_01_1816__note1131799592824"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1816__ul3475309792824"><li id="mrs_01_1816__li4434242292824">Shell job:<p id="mrs_01_1816__p6353748392824"><a name="mrs_01_1816__li4434242292824"></a><a name="li4434242292824"></a>This user must belong to the <strong id="mrs_01_1816__b167941223183016">hadoop</strong> and <strong id="mrs_01_1816__b38012238308">supergroup</strong> groups and be assigned the Oozie role operation permission. The Shell script must have the execution permission on each NodeManager.</p>
+</li><li id="mrs_01_1816__li3496644292824">SSH job:<p id="mrs_01_1816__p4626252292824"><a name="mrs_01_1816__li3496644292824"></a><a name="li3496644292824"></a>This user must belong to the <strong id="mrs_01_1816__b197061362301">hadoop</strong> and <strong id="mrs_01_1816__b1471210365302">supergroup</strong> groups and be assigned the Oozie role operation permission. The mutual trust configuration is complete.</p>
+</li><li id="mrs_01_1816__li1370951792824">Other jobs:<p id="mrs_01_1816__p5627679792824"><a name="mrs_01_1816__li1370951792824"></a><a name="li1370951792824"></a>This user must belong to the <strong id="mrs_01_1816__b23321344173017">hadoop</strong> and <strong id="mrs_01_1816__b1133894417306">supergroup</strong> groups and be assigned the Oozie role operation permission and other required permissions.</p>
+</li><li id="mrs_01_1816__li536774108334">This user must also be assigned the <strong id="mrs_01_1816__b184677201317">manager_viewer</strong> role at least.</li></ul>
+</div></div>
+</li><li id="mrs_01_1816__ladc7b9ed3c3b46f6a1138daf800558ef">You have obtained the URL of the Oozie server (any instance) in the running state, for example, <strong id="mrs_01_1816__b067582420311">https://10.1.130.10:21003/oozie</strong>.</li><li id="mrs_01_1816__lc85e9ca5785d4cb2a27ef7ddb21e470b">You have obtained the name of the Oozie server, for example, <strong id="mrs_01_1816__b2724172913314">10-1-130-10</strong>.</li><li id="mrs_01_1816__lbf054015e3274171a4e5651db635ae9b">You have obtained the IP address of the active Yarn ResourceManager, for example, <strong id="mrs_01_1816__b127825326318">10.1.130.11</strong>.</li></ul>
+</div>
+<div class="section" id="mrs_01_1816__sd59ec33e524d4e09aead454d67568953"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1816__o1416603b0c3d483a92e810ef867e8268"><li id="mrs_01_1816__l350a1a2b7ba44961ba3fb6425d24bcd1"><span>Log in to the node where the Oozie client is installed as the client installation user.</span></li><li id="mrs_01_1816__ldb24e20d02fb49b8ab154c53a86ad2eb"><span>Run the following command to obtain the installation environment. <span class="filepath" id="mrs_01_1816__filepath9821934046"><b>/opt/<span id="mrs_01_1816__text2821334941">c</span>lient/</b></span> is an example client installation path.</span><p><p id="mrs_01_1816__aeb8aeb37c0ef4522b7e707624a46ffdb"><strong id="mrs_01_1816__ab3d3b59c3d4745739c53a8bdaa67b63e">source /opt/client/bigdata_env</strong></p>
+</p></li><li id="mrs_01_1816__l2af946bf1af44927ad288eed5f6517d3"><span>Check the cluster authentication mode.</span><p><ul id="mrs_01_1816__ude5a82d1f0094edfb94ecfd0d59d7818"><li id="mrs_01_1816__l7bb7f1e8ee944d1ea3e04df6848dde84">If the cluster is in security mode, run the <strong id="mrs_01_1816__b1690115243117">kinit</strong> command to authenticate users.<p id="mrs_01_1816__ad86dba79553f488099f4cc1ed5fd6192">For example, the <strong id="mrs_01_1816__b335975413110">oozieuser</strong> user is authenticated using the following command:</p>
+<p id="mrs_01_1816__a22311f7f5d0747079f375239f6bf5b4c"><strong id="mrs_01_1816__b42354349103612">kinit oozieuser</strong></p>
+</li><li id="mrs_01_1816__l34506fef00124b3d8fbf3802fb26b479">If the cluster is in normal mode, go to <a href="#mrs_01_1816__lc7fe1634fbdc45b592872850a4bd9def">4</a>.</li></ul>
+</p></li><li id="mrs_01_1816__lc7fe1634fbdc45b592872850a4bd9def"><a name="mrs_01_1816__lc7fe1634fbdc45b592872850a4bd9def"></a><a name="lc7fe1634fbdc45b592872850a4bd9def"></a><span>Go to the example directory based on the type of the task you submit.</span><p>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1816__t939267bfc02145b4a6e6bc523644d90c" frame="border" border="1" rules="all"><caption><b>Table 1 </b>List of example directories</caption><thead align="left"><tr id="mrs_01_1816__rd6489cca7b534bd98da9eb91546b939a"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.3.2.4.2.1.2.3.1.1"><p id="mrs_01_1816__a6000469e20d64a538ab7eb51dd5d0758">Job Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="75%" id="mcps1.3.3.2.4.2.1.2.3.1.2"><p id="mrs_01_1816__a64d3acf19a6d47ce90fd20c73772e4fd">Example Directory</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1816__r283ea753d4e24f1eb196cba66397b08e"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1816__a51e98fb6c9a349e39201473ab60d1d7f">MapReduce job</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1816__a4ab33c4439e946e38701af0c19e8693d"><i><span class="varname" id="mrs_01_1816__varname4442383613">Client installation directory</span></i><strong id="mrs_01_1816__b148874610410">/Oozie/oozie-client-*/examples/apps/map-reduce</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_1816__rbf0f2c2869fb4dbc91c7b37591a54ee9"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1816__a056265b73d3c46afb83a22b3d397448b">Java job</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1816__ab03abb69db284c0da9d512fd272a8e9b"><i><span class="varname" id="mrs_01_1816__varname27781043163612">Client installation directory</span></i><strong id="mrs_01_1816__b845010910510">/Oozie/oozie-client-*/examples/apps/java-main</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_1816__ra7079b30202045f49c22c539c43b485d"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1816__ac4ff1a881b8a480aaca748414bd116a8">Shell job</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1816__a326af45bf83d402996907709bdf1a243"><i><span class="varname" id="mrs_01_1816__varname1129611911377">Client installation directory</span></i><strong id="mrs_01_1816__b134081220357">/Oozie/oozie-client-*/examples/apps/shell</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_1816__rb535b19d8a8e4bed93eca106d8046575"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1816__aeb9b088f4aef4743b65949070e9af290">Streaming job</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1816__aba5e3b74fb2f40ebbb1e35a92b94371f"><i><span class="varname" id="mrs_01_1816__varname97709339371">Client installation directory</span></i><strong id="mrs_01_1816__b206961928750">/Oozie/oozie-client-*/examples/apps/shell</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_1816__rf659da179c2444f7b9be8ec834ff059e"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1816__acba2a4da863948f79bb2d709b3f933b4">SubWorkflow job</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1816__a697ae0794536421dbbf34eeac51a165f"><i><span class="varname" id="mrs_01_1816__varname20614353143713">Client installation directory</span></i><strong id="mrs_01_1816__b185151836650">/Oozie/oozie-client-*/examples/apps/subwf</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_1816__rf660a1dc903744b2b17b7de6a4cb7dbf"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1816__aa578ee9f83244cf5ae2ebe78734dc90b">SSH job</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1816__a07163eaab1bd491cbf24493e6ce7a014"><i><span class="varname" id="mrs_01_1816__varname133421666383">Client installation directory</span></i><strong id="mrs_01_1816__b1209945856">/Oozie/oozie-client-*/examples/apps/ssh</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_1816__r32e5b71a4c5e498c86750ed212d5e11d"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1816__a6bc006a9d307446395606699a409364a">Scheduled job</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1816__aad8dd6dbe0784853bbbde3ce56df6e40"><i><span class="varname" id="mrs_01_1816__varname3550101923818">Client installation directory</span></i><strong id="mrs_01_1816__b621955313516">/Oozie/oozie-client-*/examples/apps/cron</strong></p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_1816__n2ae677a6a25d40f1beb27ea254fe3dcf"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1816__a6577fd0174634a1b97655f2ffddb162c">The examples of other jobs contain HDFS job examples.</p>
+</div></div>
+<p id="mrs_01_1816__af8b646021f5646cd82c7c85ab77f92fa"><a href="#mrs_01_1816__t4569c24069cf4e6b908ce637a4b6af6d">Table 2</a> lists the files that you need to pay attention to in the example directory.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1816__t4569c24069cf4e6b908ce637a4b6af6d"></a><a name="t4569c24069cf4e6b908ce637a4b6af6d"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1816__t4569c24069cf4e6b908ce637a4b6af6d" frame="border" border="1" rules="all"><caption><b>Table 2 </b>File description</caption><thead align="left"><tr id="mrs_01_1816__r40b98c367d904fd49c59d37f2d2e64f8"><th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.3.2.4.2.4.2.3.1.1"><p id="mrs_01_1816__a094957f26a464c50817a32510e0c36af">File</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.3.2.4.2.4.2.3.1.2"><p id="mrs_01_1816__a510b22ee17c042dbb2eb8c223cbd5f91">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1816__r9d259ffb7eb74530a3b8d58dc70c7c16"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.4.2.4.2.3.1.1 "><p id="mrs_01_1816__a9fe5512eefc44efc846148c98a6d8172">job.properties</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.4.2.4.2.3.1.2 "><p id="mrs_01_1816__ad10161ee2be74d6abbb21609e673ef29">Parameter definition file of a workflow</p>
+</td>
+</tr>
+<tr id="mrs_01_1816__rba634f89678f4112afc60cf105a1b626"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.4.2.4.2.3.1.1 "><p id="mrs_01_1816__a2e51cf1b5a3f4b8bba6f6bc0b72bf0e9">workflow.xml</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.4.2.4.2.3.1.2 "><p id="mrs_01_1816__a673397c008bd489a8cdcd3a682accebd">Rule definition file of a workflow</p>
+</td>
+</tr>
+<tr id="mrs_01_1816__r4605bcb7c2ee488f80e72ba5fcb7df6c"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.4.2.4.2.3.1.1 "><p id="mrs_01_1816__aba387759b8744c57970e447333f5d495">lib</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.4.2.4.2.3.1.2 "><p id="mrs_01_1816__ada5a34ac5693496cbe320ffe5d4bf8de">Directory of the JAR file on which a workflow depends</p>
+</td>
+</tr>
+<tr id="mrs_01_1816__r5a7b06839e9a4d719aff1c8bd4ec4462"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.4.2.4.2.3.1.1 "><p id="mrs_01_1816__a212dd430d83c4ebda1db7774754d12db">coordinator.xml</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.4.2.4.2.3.1.2 "><p id="mrs_01_1816__a0d669d728b574ee28725ac35ce6cfd5c">Scheduled job configuration file which can be used to set a scheduled policy. The file is in the <span class="filepath" id="mrs_01_1816__filepath1818545173811"><b>cron</b></span> directory.</p>
+</td>
+</tr>
+<tr id="mrs_01_1816__r3657b7706d464deda6541f3158800c31"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.4.2.4.2.3.1.1 "><p id="mrs_01_1816__af1b370ff106445c285ee9f2c9eb744fc">oozie_shell.sh</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.4.2.4.2.3.1.2 "><p id="mrs_01_1816__a0f4dbd970ef947f789eb6fd6ecc053f3">Shell script file required for submitting shell jobs. The file is in the <span class="filepath" id="mrs_01_1816__filepath81806710397"><b>shell</b></span> directory.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_1816__l09e5b14029f148608c492348086924d2"><span>Run the following command to edit the <span class="filepath" id="mrs_01_1816__filepath63861013103917"><b>job.properties</b></span> file:</span><p><p id="mrs_01_1816__a3f7a6cd47cd9439cb0571e3d14aa7e08"><strong id="mrs_01_1816__a45530678b551475c82c5ea4255b05700">vi job.properties</strong></p>
+<p id="mrs_01_1816__a9f71cb8dbb1e4b3cab603396a9fac28e">Perform the following modifications:</p>
+<p id="mrs_01_1816__a68826410502a4db6bb371211ef5a93ba">Change the value of <span class="parmname" id="mrs_01_1816__parmname752951919395"><b>userName</b></span> to the name of the human-machine user who submits the job, for example, <span class="parmvalue" id="mrs_01_1816__parmvalue1853513194395"><b>userName=oozieuser</b></span>.</p>
+</p></li><li id="mrs_01_1816__l7edd8677afbd42569ba6eaabdd104c8d"><span>Run the <strong id="mrs_01_1816__b13982122314398">oozie job</strong> command to run the workflow file:</span><p><p id="mrs_01_1816__aea32d17316e740c7a29d80c69fc7a96c"><strong id="mrs_01_1816__b26261225103918">oozie job -oozie https://</strong><em id="mrs_01_1816__i11627142510393">Host name of the oozie role</em><strong id="mrs_01_1816__b2062822515392">:21003/oozie -config </strong><i><span class="varname" id="mrs_01_1816__varname1262892518392">File path of job.properties</span></i><strong id="mrs_01_1816__b20629152593918"> -run</strong></p>
+<p id="mrs_01_1816__aecf2d44835304c519940fd3ba3d29217">Example:</p>
+<p id="mrs_01_1816__a8e581a443419419d905e40adef82edd8"><strong id="mrs_01_1816__ae6f3d34ddf474eec8ee715c51299d939">oozie job -oozie https://10-1-130-10:21003/oozie -config</strong></p>
+<p id="mrs_01_1816__a4cacee7c96d146b7b4c1f57d26ce988c"><strong id="mrs_01_1816__a1eda3e0eaf7045f09b2151ca3cd22d70">/opt/client/Oozie/oozie-client-*/examples/apps/map-reduce/job.properties -run</strong></p>
+<div class="note" id="mrs_01_1816__n026739d7fb0249169bfb053afb3f9f0f"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1816__u3e1c54ff1044497595dc2eb851641de5"><li id="mrs_01_1816__lc5e4cc6c22e44df2a67b79fb0517dddc">The command parameters are described as follows:<p id="mrs_01_1816__aa21f980ff7654a068c2e376cc3385292"><a name="mrs_01_1816__lc5e4cc6c22e44df2a67b79fb0517dddc"></a><a name="lc5e4cc6c22e44df2a67b79fb0517dddc"></a><strong id="mrs_01_1816__b89462035203918">-oozie</strong>                    URL of the Oozie server that executes a job</p>
+<p id="mrs_01_1816__ae93001c22a4d47cc890a017ea385732c"><strong id="mrs_01_1816__b727833713394">-config</strong>                  Workflow property file</p>
+<p id="mrs_01_1816__a6966a0b8916a403aa835ef24ef1483be"><strong id="mrs_01_1816__b12632154083911">-run</strong>                       Executing a workflow</p>
+</li><li id="mrs_01_1816__ld5025afa2d17467a90a3ac09e1250c24">If a job ID, for example, <strong id="mrs_01_1816__b169791641153914">job: 0000021-140222101051722-oozie-omm-W</strong>, is displayed after the workflow file is executed, the job is successfully submitted. You can view the execution results on the Oozie management page.<p id="mrs_01_1816__aa256268feb4d41cf8449fcda84b3fba2">Log in to the Oozie web UI at <strong id="mrs_01_1816__b85722045123918">https</strong>://<em id="mrs_01_1816__i1557714510395">IP address of the Oozie role</em><strong id="mrs_01_1816__b17578145153919">:21003/oozie</strong> as user <strong id="mrs_01_1816__b205785450390">oozieuser</strong>.</p>
+<p id="mrs_01_1816__aa372c709847d4c2bafdf5db07a9c52ce">On the Oozie web UI, you can view the submitted workflow information based on the job ID in the table on the page.</p>
+</li></ul>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1812.html">Using Oozie Client to Submit an Oozie Job</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1817.html b/docs/mrs/component-operation-guide/mrs_01_1817.html
new file mode 100644
index 000000000..896120575
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1817.html
@@ -0,0 +1,23 @@
+<a name="mrs_01_1817"></a><a name="mrs_01_1817"></a>
+
+<h1 class="topictitle1">Using Hue to Submit an Oozie Job</h1>
+<div id="body1591347168767"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1818.html">Creating a Workflow</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1819.html">Submitting a Workflow Job</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1840.html">Submitting a Coordinator Periodic Scheduling Job</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1841.html">Submitting a Bundle Batch Processing Job</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1842.html">Querying the Operation Results</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1807.html">Using Oozie</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1818.html b/docs/mrs/component-operation-guide/mrs_01_1818.html
new file mode 100644
index 000000000..20bc4b4c8
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1818.html
@@ -0,0 +1,20 @@
+<a name="mrs_01_1818"></a><a name="mrs_01_1818"></a>
+
+<h1 class="topictitle1">Creating a Workflow</h1>
+<div id="body1591347169545"><div class="section" id="mrs_01_1818__s6847b0b9fbda45b3b4a7e127ddd5f8a7"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1818__af4f1bc29bbdb47779f11de92cd27e29c">You can submit an Oozie job on the Hue management page, but a workflow must be created before the job is submitted.</p>
+</div>
+<div class="section" id="mrs_01_1818__s43caec7de52e4db7b81c67f5c40a1152"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_1818__aa959d9b89e1f489f867417d6c9794eee">Before using Hue to submit an Oozie job, configure the Oozie client and upload the sample configuration file and JAR file to the specified HDFS directory. For details, see <a href="mrs_01_1810.html">Using the Oozie Client</a>.</p>
+</div>
+<div class="section" id="mrs_01_1818__sf9189da9f4414210ade70e2e35791871"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1818__o7b695b7ddfee45eea77d98bba7053304"><li id="mrs_01_1818__li1028081585415"><a name="mrs_01_1818__li1028081585415"></a><a name="li1028081585415"></a><span>Prepare a user who has operation permissions on the corresponding components.</span><p><p id="mrs_01_1818__p7376181610540">For example, log in to FusionInsight Manager as user <strong id="mrs_01_1818__b7126844173320">admin</strong> and choose <strong id="mrs_01_1818__b1882212374340">System</strong> in the top menu bar. On the <strong id="mrs_01_1818__b11282113511351">System</strong> page that is displayed, choose <strong id="mrs_01_1818__b17980193803515">User</strong> under <strong id="mrs_01_1818__b14414141263615">Permission</strong> in the navigation pane on the left. On the displayed <strong id="mrs_01_1818__b3410031153820">User</strong> page, click <strong id="mrs_01_1818__b5232151616384">Create</strong>. On the <strong id="mrs_01_1818__b1193581712393">Create</strong> page, set <strong id="mrs_01_1818__b13457123363913">Username</strong> to <strong id="mrs_01_1818__b8650154617396">hueuser</strong> and <strong id="mrs_01_1818__b1281918164016">User Type</strong> to <strong id="mrs_01_1818__b8185913164017">Human-Machine</strong>, set the password and confirm it, set <strong id="mrs_01_1818__b17483163711418">User Group</strong> to <strong id="mrs_01_1818__b1995364820412">hive</strong>, <strong id="mrs_01_1818__b10667017428">hadoop</strong>, and <strong id="mrs_01_1818__b8533511114219">supergroup</strong>, set <strong id="mrs_01_1818__b344714213422">Primary Group</strong> to <strong id="mrs_01_1818__b1443681433">hive</strong>, set <strong id="mrs_01_1818__b371118174313">Role</strong> to <strong id="mrs_01_1818__b1560838174317">System_administrator</strong>, and click <strong id="mrs_01_1818__b19187104911433">OK</strong>.</p>
+</p></li><li id="mrs_01_1818__li158711504297"><span>Log in to FusionInsight Manager as the user created in <a href="#mrs_01_1818__li1028081585415">1</a> (change the password upon your first login), choose <strong id="mrs_01_1818__b73781638453">Cluster</strong> &gt; <strong id="mrs_01_1818__b105481722134518">Services</strong> &gt; <strong id="mrs_01_1818__b8218325194515">Hue</strong>, and click the link next to <strong id="mrs_01_1818__b8139417204611">Hue WebUI</strong> to go to the Hue WebUI page.</span></li><li id="mrs_01_1818__l34fef8f01e044536be27564d03e49028"><span>In the navigation tree on the left, click <span><img id="mrs_01_1818__image2607133802416" src="en-us_image_0000001295930388.png"></span> and choose <strong id="mrs_01_1818__b14250104519164">Workflow</strong> to open the Workflow editor.</span></li><li id="mrs_01_1818__l6cf418a4bca84ba18077ef47878406b9"><span>Select <strong id="mrs_01_1818__b597814314335">Actions</strong> from the <strong id="mrs_01_1818__b1152815261427">DOCUMENTS</strong> drop-down list, select the job type to be created and drag it to the operation area.</span><p><p id="mrs_01_1818__p39321037185219"><span><img id="mrs_01_1818__image893223765216" src="en-us_image_0000001295770428.png"></span></p>
+<p id="mrs_01_1818__a739828bfc3c5473196333fc4b539c7f1">For submitting different job types, follow instructions in the following sections:</p>
+<ul id="mrs_01_1818__uc99e86de71c642e6a706c2b0746ca979"><li id="mrs_01_1818__ld1ee174476a6431e89e7a63ebdb6a7d4"><a href="mrs_01_1820.html">Submitting a Hive2 Job</a></li><li id="mrs_01_1818__lb227d06039da46779a27729452b8de36"><a href="mrs_01_1821.html">Submitting a Spark2x Job</a></li><li id="mrs_01_1818__l002fba3f31244b37a39d95e4da628007"><a href="mrs_01_1822.html">Submitting a Java Job</a></li><li id="mrs_01_1818__lecada43ec0424d3387889a9c95592ddd"><a href="mrs_01_1823.html">Submitting a Loader Job</a></li><li id="mrs_01_1818__lb412647035d4465a999d2924c68a70e6"><a href="mrs_01_1824.html">Submitting a MapReduce Job</a></li><li id="mrs_01_1818__la9c1f1fbdaec4d1f805b2810eb1b53b6"><a href="mrs_01_1825.html">Submitting a Sub-workflow Job</a></li><li id="mrs_01_1818__l489f41f77b8e4569ba04b78f81363962"><a href="mrs_01_1826.html">Submitting a Shell Job</a></li><li id="mrs_01_1818__le13cb12c990049a0a75eb8f86b40fdb8"><a href="mrs_01_1827.html">Submitting an HDFS Job</a></li><li id="mrs_01_1818__l27f9e247b3f44ebebf91a1c7d005770d"><a href="mrs_01_1828.html">Submitting a Streaming Job</a></li><li id="mrs_01_1818__l574ca4abcb6c4f45a1c3df3a5456c838"><a href="mrs_01_1829.html">Submitting a DistCp Job</a></li></ul>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1817.html">Using Hue to Submit an Oozie Job</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1819.html b/docs/mrs/component-operation-guide/mrs_01_1819.html
new file mode 100644
index 000000000..b865f5daf
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1819.html
@@ -0,0 +1,39 @@
+<a name="mrs_01_1819"></a><a name="mrs_01_1819"></a>
+
+<h1 class="topictitle1">Submitting a Workflow Job</h1>
+<div id="body1591347169546"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1820.html">Submitting a Hive2 Job</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1821.html">Submitting a Spark2x Job</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1822.html">Submitting a Java Job</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1823.html">Submitting a Loader Job</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1824.html">Submitting a MapReduce Job</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1825.html">Submitting a Sub-workflow Job</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1826.html">Submitting a Shell Job</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1827.html">Submitting an HDFS Job</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1828.html">Submitting a Streaming Job</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1829.html">Submitting a DistCp Job</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1830.html">Example of Mutual Trust Operations</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1831.html">Submitting an SSH Job</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2372.html">Submitting a Hive Script</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1817.html">Using Hue to Submit an Oozie Job</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1820.html b/docs/mrs/component-operation-guide/mrs_01_1820.html
new file mode 100644
index 000000000..290dd15c4
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1820.html
@@ -0,0 +1,21 @@
+<a name="mrs_01_1820"></a><a name="mrs_01_1820"></a>
+
+<h1 class="topictitle1">Submitting a Hive2 Job</h1>
+<div id="body1591347170444"><div class="section" id="mrs_01_1820__s6a90446d0ac84e90bb743f5c1d6f5ae4"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1820__ad404bfb0df7d48b69a6b6648a0e56b4f">This section describes how to submit an Oozie job of the Hive2 type on the Hue web UI.</p>
+</div>
+<div class="section" id="mrs_01_1820__s1a160ce601444787b4b13b3fba603d83"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1820__o2076901d53fe4745b049ac01df0d891f"><li id="mrs_01_1820__lce7709d029184a289e911ed58b1053ed"><span>Create a workflow. For details, see <a href="mrs_01_1818.html">Creating a Workflow</a>.</span></li><li id="mrs_01_1820__l0ba7fff9df714cac953ea2edda74bdcd"><span>On the workflow editing page, select <span><img id="mrs_01_1820__i053667e90ea3403fa2e06773b9b1e426" src="en-us_image_0000001349170225.jpg"></span> next to <span class="parmname" id="mrs_01_1820__parmname926292813417"><b>HiveServer2 Script</b></span> and drag it to the operation area.</span></li><li id="mrs_01_1820__l209a628919e84975a28c80c8bd3e1ddd"><span>In the <span class="wintitle" id="mrs_01_1820__wintitle029910404411"><b>HiveServer2 Script</b></span> dialog box that is displayed, configure the script path in the HDFS, for example, <span class="filepath" id="mrs_01_1820__filepath162998406414"><b>/user/admin/examples/apps/hive2/script.q</b></span>, and click <span class="uicontrol" id="mrs_01_1820__uicontrol11300174011411"><b>Add</b></span>.</span></li><li id="mrs_01_1820__l6af5bc7d7c1a4658b4ef55395d670dce"><span>Click <strong id="mrs_01_1820__b1656112014558">PARAMETER+</strong> to add input and output parameters.</span><p><p id="mrs_01_1820__a153568aaafbc4e35a51c2cc0a374885b">For example, if the input parameter is <span class="parmname" id="mrs_01_1820__parmname7955312413"><b>INPUT=/user/admin/examples/input-data/table</b></span>, the output parameter is <span class="parmname" id="mrs_01_1820__parmname2010353114115"><b>OUTPUT=/user/admin/examples/output-data/hive2_workflow</b></span>.</p>
+<p id="mrs_01_1820__p5894173820486"><span><img id="mrs_01_1820__i7d3bb86cf59b4960924f8af660dae8a3" src="en-us_image_0000001349289813.png"></span></p>
+</p></li><li id="mrs_01_1820__lc6a4127f3d1049fea224e83724460080"><span>Click the configuration button <span><img id="mrs_01_1820__iac9474f0e69e47c3a38113ace8b49610" src="en-us_image_0000001296090484.jpg"></span> in the upper right corner. On the configuration page that is displayed, click <span class="uicontrol" id="mrs_01_1820__uicontrol1573371810425"><b>Delete +</b></span> to delete a directory, for example, <span class="filepath" id="mrs_01_1820__filepath1573481816423"><b>/user/admin/examples/output-data/hive2_workflow</b></span>.</span></li><li id="mrs_01_1820__la1abc0b7251945be93e421e81fea2e5f"><span>Configure the job XML, for example, to the HDFS path <strong id="mrs_01_1820__b2742030194211">/user/admin/examples/apps/hive2/hive-site.xml</strong>.</span><p><p id="mrs_01_1820__p14446172712919"><span><img id="mrs_01_1820__image174451627696" src="en-us_image_0000001389443044.png"></span></p>
+<div class="note" id="mrs_01_1820__note1892318461096"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1820__p119238469918">If the preceding parameters and values are modified, you can query them in <span class="filepath" id="mrs_01_1820__filepath59231346094"><b>Oozie client installation directory//oozie-client-*/conf/hive-site.xml</b></span>.</p>
+</div></div>
+</p></li><li id="mrs_01_1820__la726d3587a3541cdb29454886c2c76a3"><span>Click <span><img id="mrs_01_1820__image1236335111194" src="en-us_image_0000001296250136.png"></span> in the upper right corner of the Oozie editor.</span><p><p id="mrs_01_1820__ada411845c04e45e1a85e12864b88f1fe">If you need to modify the job name before saving the job (default value: <span class="parmname" id="mrs_01_1820__parmname1158524705517"><b>My Workflow</b></span>), click the name directly for modification, for example, <strong id="mrs_01_1820__b358614479552">Hive2-Workflow</strong>.</p>
+</p></li><li id="mrs_01_1820__l2bca876c0e534cfba9cb2adff83f1267"><span>After the configuration is saved, click <span><img id="mrs_01_1820__i999b101699bf47b585a47b4fd3fc2e64" src="en-us_image_0000001296250132.jpg"></span>, and submit the job.</span><p><p id="mrs_01_1820__a9e9254d90004418393ba5b1d2a286e4b">After the job is submitted, you can view the related contents of the job, such as the detailed information, logs, and processes, on Hue.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1819.html">Submitting a Workflow Job</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1821.html b/docs/mrs/component-operation-guide/mrs_01_1821.html
new file mode 100644
index 000000000..9550883f3
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1821.html
@@ -0,0 +1,21 @@
+<a name="mrs_01_1821"></a><a name="mrs_01_1821"></a>
+
+<h1 class="topictitle1">Submitting a Spark2x Job</h1>
+<div id="body1591347171855"><div class="section" id="mrs_01_1821__seb13f36961e14490a77b16dde78b4386"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1821__a349ffe7f76764de189d08f87eaa568ef">This section describes how to submit an Oozie job of the Spark2x type on Hue.</p>
+</div>
+<div class="section" id="mrs_01_1821__section12243121513"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1821__o3cfb8bdbdad542f89b2daa670dad85d4"><li id="mrs_01_1821__l45e0dd036f754c1493bec3220efb8b62"><span>Create a workflow. For details, see <a href="mrs_01_1818.html">Creating a Workflow</a>.</span></li><li id="mrs_01_1821__l98de8002e49143469b8a71cde3646029"><span>On the workflow editing page, select <span><img id="mrs_01_1821__i32de5183e74848a99b1e7f39df3f968d" src="en-us_image_0000001296250232.jpg"></span> next to <strong id="mrs_01_1821__b1858522413">Spark program</strong> and drag it to the operation area.</span></li><li id="mrs_01_1821__li139748715411"><span>In the Spark window that is displayed, set the value of <span class="parmname" id="mrs_01_1821__parmname3117194519"><b>Files</b></span>, for example, to <span class="parmvalue" id="mrs_01_1821__parmvalue76124210540"><b>hdfs://hacluster/user/admin/examples/apps/spark2x/lib/oozie-examples.jar</b></span>. Set the value of <span class="parmname" id="mrs_01_1821__parmname13605230525"><b>jar/py name</b></span>, for example, to <strong id="mrs_01_1821__b17724642134317">org.apache.oozie.example.SparkFileCopy</strong>, and click <strong id="mrs_01_1821__b34413194416">Add</strong>.</span></li><li id="mrs_01_1821__li12837441123820"><span>Set the value of <strong id="mrs_01_1821__b1843012273337">Main class</strong>, for example, <span class="parmvalue" id="mrs_01_1821__parmvalue186313551145"><b>org.apache.oozie.example.SparkFileCopy</b></span>.</span></li><li id="mrs_01_1821__l910935cc2a084236b8de28d7316e4930"><span>Click <strong id="mrs_01_1821__b2087010468918">PARAMETER+</strong> to add related input and output parameters.</span><p><p id="mrs_01_1821__ab4b6d5082943457ba102aa1b8365373a">For example, add the following parameters:</p>
+<ul id="mrs_01_1821__ul177552555422"><li id="mrs_01_1821__li10757145511424"><strong id="mrs_01_1821__b817631810514">hdfs://hacluster/user/admin/examples/input-data/text/data.txt</strong></li><li id="mrs_01_1821__li29851457104213"><strong id="mrs_01_1821__b1369510564911">hdfs://hacluster/user/admin/examples/output-data/spark_workflow</strong></li></ul>
+</p></li><li id="mrs_01_1821__li1652994117417"><span>In the <span class="wintitle" id="mrs_01_1821__wintitle69931947141110"><b>Options list</b></span> text box, specify Spark parameters, for example, <strong id="mrs_01_1821__b18755824593">--conf spark.yarn.archive=hdfs://hacluster/user/spark2x/jars/<span id="mrs_01_1821__text41611050163115">8.1.0.1</span>/spark-archive-2x.zip --conf spark.eventLog.enabled=true --conf spark.eventLog.dir=hdfs://hacluster/spark2xJobHistory2x</strong>.</span><p><div class="note" id="mrs_01_1821__note9425192413176"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1821__p34264242171"><span id="mrs_01_1821__text1975894211364">The version 8.1.0.1 is used as an example. Replace it with the actual version number.</span></p>
+</div></div>
+</p></li><li id="mrs_01_1821__li16249176864"><span>Click the configuration button <span><img id="mrs_01_1821__i74b00bf8902d46e395f4b70016a0af31" src="en-us_image_0000001295770796.jpg"></span> in the upper right corner. Set the value of <span class="parmname" id="mrs_01_1821__parmname1490015330713"><b>Spark Master</b></span>, for example, to <strong id="mrs_01_1821__b8926015106">yarn-cluster</strong>. Set the value of <span class="parmname" id="mrs_01_1821__parmname1363113431478"><b>Mode</b></span>, for example, <strong id="mrs_01_1821__b86291417104">cluster</strong>.</span></li><li id="mrs_01_1821__li7602121109"><span>On the configuration page that is displayed, click <span class="uicontrol" id="mrs_01_1821__uicontrol450216151320"><b>Delete +</b></span> to delete a directory, for example,<strong id="mrs_01_1821__b1650317151238"> hdfs://hacluster/user/admin/examples/output-data/spark_workflow</strong>.</span></li><li id="mrs_01_1821__li1464013210617"><span>Click <span class="uicontrol" id="mrs_01_1821__uicontrol13468713241"><b>PROPERTIES+</b></span> and add <strong id="mrs_01_1821__b104694131243">sharelib</strong> used by Oozie. Enter the attribute name <span class="parmname" id="mrs_01_1821__parmname84701013942"><b>oozie.action.sharelib.for.spark</b></span> in the left text box and the attribute value <span class="parmvalue" id="mrs_01_1821__parmvalue184713131745"><b>spark2x</b></span> in the right text box.</span></li><li id="mrs_01_1821__l64df422e4ba743b4a4d5ee3950778f05"><span>Click <span><img id="mrs_01_1821__image1236335111194" src="en-us_image_0000001349090429.png"></span> in the upper right corner of the Oozie editor.</span><p><p id="mrs_01_1821__ad1272ef4806748bf868ee4c28bb8e9c6">If you need to modify the job name before saving the job (default value: <span class="parmname" id="mrs_01_1821__parmname81698351189"><b>My Workflow</b></span>), click the name directly for modification, for example, <strong id="mrs_01_1821__b61705351289">Spark-Workflow</strong>.</p>
+</p></li><li id="mrs_01_1821__l24d79648d0bc4d16809f9aa9f8d36465"><span>After the configuration is saved, click <span><img id="mrs_01_1821__image75416412133" src="en-us_image_0000001349289909.jpg"></span>, and submit the job.</span><p><p id="mrs_01_1821__aaeaa7dfd7d84407391f84d425b70f0c7">After the job is submitted, you can view the related contents of the job, such as the detailed information, logs, and processes, on Hue.</p>
+</p></li></ol>
+</div>
+<p id="mrs_01_1821__p8060118"></p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1819.html">Submitting a Workflow Job</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1822.html b/docs/mrs/component-operation-guide/mrs_01_1822.html
new file mode 100644
index 000000000..3b19d13a9
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1822.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_1822"></a><a name="mrs_01_1822"></a>
+
+<h1 class="topictitle1">Submitting a Java Job</h1>
+<div id="body1591347172318"><div class="section" id="mrs_01_1822__sb5088e23c8ed4b339e554e98d46694ac"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1822__ad8cc266ba6564811b789235463134c77">This section describes how to submit an Oozie job of the Java type on the Hue web UI.</p>
+</div>
+<div class="section" id="mrs_01_1822__sbf2a3c82cced4c24b5fb131a1546f555"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1822__o14d921b096324f63b4b5c1e1777b69a0"><li id="mrs_01_1822__lf9b7e9b6350a4e3b882ab34492f861ab"><span>Create a workflow. For details, see <a href="mrs_01_1818.html">Creating a Workflow</a>.</span></li><li id="mrs_01_1822__l095c4c53737243a7b901fb66479a4b15"><span>On the workflow editing page, select <span><img id="mrs_01_1822__id7508ed740714af0bf3cda0bc178f37e" src="en-us_image_0000001349289953.jpg"></span> next to<strong id="mrs_01_1822__b11942342181416"> Java program</strong> and drag it to the operation area.</span></li><li id="mrs_01_1822__l360aeafc5efc4645a52ef033c8ae9b22"><span>In the <span class="parmname" id="mrs_01_1822__parmname14932131011810"><b>Jar program</b></span> window that is displayed, set the value of <strong id="mrs_01_1822__b83498543148">Jar name</strong>, for example, <strong id="mrs_01_1822__b932663871015">/user/admin/examples/apps/java-main/lib/oozie-examples-5.1.0.jar</strong>. Set the value of <span class="parmname" id="mrs_01_1822__parmname8280824111810"><b>Main class</b></span>, for example, <strong id="mrs_01_1822__b1991405591010">org.apache.oozie.example.DemoJavaMain</strong>. Click <strong id="mrs_01_1822__b1847542215156">Add</strong>.</span></li><li id="mrs_01_1822__ld8c15c060cd64266b9e237b4450398e0"><span>Click <span><img id="mrs_01_1822__image1236335111194" src="en-us_image_0000001295770848.png"></span> in the upper right corner of the Oozie editor.</span><p><p id="mrs_01_1822__a7a095f841aa54566951815da4fa1fa68">If you need to modify the job name before saving the job (default value: <strong id="mrs_01_1822__b12466172541513">My Workflow</strong>), click the name directly for modification, for example, <strong id="mrs_01_1822__b9471142521513">Java-Workflow</strong>.</p>
+</p></li><li id="mrs_01_1822__l5b55bdd8a6ce4afeba581ff77acadd70"><span>After the configuration is saved, click <span><img id="mrs_01_1822__ib073085b9e7a4f4faa63fa70fd59e7e0" src="en-us_image_0000001349090473.jpg"></span>, and submit the job.</span><p><p id="mrs_01_1822__ac501bad977314913a78afbb85fc6aa0d">After the job is submitted, you can view the related contents of the job, such as the detailed information, logs, and processes, on Hue.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1819.html">Submitting a Workflow Job</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1823.html b/docs/mrs/component-operation-guide/mrs_01_1823.html
new file mode 100644
index 000000000..6120127f3
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1823.html
@@ -0,0 +1,20 @@
+<a name="mrs_01_1823"></a><a name="mrs_01_1823"></a>
+
+<h1 class="topictitle1">Submitting a Loader Job</h1>
+<div id="body1591347172719"><div class="section" id="mrs_01_1823__sb174ee928ed34e4c8eeeeff055b96ad5"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1823__a8a22f87b7f3d4eeb849d135588024f2c">This section describes how to submit an Oozie job of the Loader type on the Hue web UI.</p>
+</div>
+<div class="section" id="mrs_01_1823__s880a059cb07c4cf18a4d75c40ac6c89f"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1823__oc856862045e34a94aba499d0f0cd21c0"><li id="mrs_01_1823__leabd6192b74c4977948fe4934a3d6e59"><span>Create a workflow. For details, see <a href="mrs_01_1818.html">Creating a Workflow</a>.</span></li><li id="mrs_01_1823__l1dd286b9f9264bfc8a1e978367e145a2"><span>On the workflow editing page, select <span><img id="mrs_01_1823__i9e80b8128c6a49ef8571c8296ce3d9ba" src="en-us_image_0000001295930600.jpg"></span> next to <strong id="mrs_01_1823__b128431505169">Loader</strong> and drag it to the operation area.</span></li><li id="mrs_01_1823__l99430922e77c42cda29858e1fc474f3f"><span>In the <strong id="mrs_01_1823__b779520011713">Loader</strong> window that is displayed, set <span class="parmname" id="mrs_01_1823__parmname6441441199"><b>Job id</b></span>, for example, to <strong id="mrs_01_1823__b580118015176">1</strong>. Click <strong id="mrs_01_1823__b13197630173">Add</strong>.</span><p><p id="mrs_01_1823__p1579151414811"><span><img id="mrs_01_1823__image177991414814" src="en-us_image_0000001296250076.png"></span></p>
+<div class="note" id="mrs_01_1823__n4606d44af0594a2d9b6fc8d730f4d583"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1823__a86fcd61030464b999aab3afc89824f0e"><span class="parmname" id="mrs_01_1823__parmname12256189141915"><b>Job id</b></span> is the ID of the Loader job to be orchestrated and can be obtained from the Loader page.</p>
+<p id="mrs_01_1823__p130817345140">You can create a Loader job to be scheduled and obtain its job ID. For details, see <a href="mrs_01_0400.html">Using Loader</a>.</p>
+</div></div>
+</p></li><li id="mrs_01_1823__l905e77464f464c09be132bcc297c00c3"><span>Click <span><img id="mrs_01_1823__image1236335111194" src="en-us_image_0000001295770640.png"></span> in the upper right corner of the Oozie editor.</span><p><p id="mrs_01_1823__ae9336f9f2b99440880c1c0f2dc706aa3">If you need to modify the job name before saving the job (default value: <strong id="mrs_01_1823__b81585558174">My Workflow</strong>), click the name directly for modification, for example, <strong id="mrs_01_1823__b1163955191712">Loader-Workflow</strong>.</p>
+</p></li><li id="mrs_01_1823__l1e7cd714958c48d986674653bf342d9f"><span>After the configuration is saved, click <span><img id="mrs_01_1823__i6ed66da0e570468ab2574f92c1f896da" src="en-us_image_0000001348770457.jpg"></span>, and submit the job.</span><p><p id="mrs_01_1823__a7ceeb7e8adb149c486c6c60e59671aa8">After the job is submitted, you can view the related contents of the job, such as the detailed information, logs, and processes, on Hue.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1819.html">Submitting a Workflow Job</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1824.html b/docs/mrs/component-operation-guide/mrs_01_1824.html
new file mode 100644
index 000000000..b0ad51dfd
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1824.html
@@ -0,0 +1,18 @@
+<a name="mrs_01_1824"></a><a name="mrs_01_1824"></a>
+
+<h1 class="topictitle1">Submitting a MapReduce Job</h1>
+<div id="body1591347173246"><div class="section" id="mrs_01_1824__sa4b9549547ee4128a48afc12a59d6c17"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1824__ab8e376ad00204a0188f5de750a8fe626">This section describes how to submit an Oozie job of the MapReduce type on the Hue web UI.</p>
+</div>
+<div class="section" id="mrs_01_1824__sc04738c1509f484d913f7a642796b327"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1824__o45e23f180e1747fa9eb1d97e9b319aa6"><li id="mrs_01_1824__l8825583f70d44d8d88f094866fe2a600"><span>Create a workflow. For details, see <a href="mrs_01_1818.html">Creating a Workflow</a>.</span></li><li id="mrs_01_1824__l65d6ca5286e2416b99906f35a56190da"><span>On the workflow editing page, select <span><img id="mrs_01_1824__ie4d43fab5bae4d6f8f6a200e11b5f016" src="en-us_image_0000001349170097.jpg"></span> next to <strong id="mrs_01_1824__b9108183811810">MapReduce job</strong> and drag it to the operation area.</span></li><li id="mrs_01_1824__l99f589e6e31e491ab06bb095422641b5"><span>In the displayed <strong id="mrs_01_1824__b4985104610186">MapReduce job</strong> dialog box, set <span class="parmname" id="mrs_01_1824__parmname322174110199"><b>Jar name</b></span>, for example, to <strong id="mrs_01_1824__b098620462188">/user/admin/examples/apps/map-reduce/lib/oozie-examples-5.1.0.jar</strong>. Click <strong id="mrs_01_1824__b5380175911816">Add</strong>.</span></li><li id="mrs_01_1824__li219082514496"><span>Click <strong id="mrs_01_1824__b19978817354">PROPERTIES+</strong> to add input and output properties.</span><p><p id="mrs_01_1824__p1094172116514"><span><img id="mrs_01_1824__image12941192135115" src="en-us_image_0000001349289681.png"></span></p>
+<p id="mrs_01_1824__p383170165212">For example, set the value of <span class="parmname" id="mrs_01_1824__parmname1838941414201"><b>mapred.input.dir</b></span> to <strong id="mrs_01_1824__b556316108357">/user/admin/examples/input-data/text</strong> and set the value of <span class="parmname" id="mrs_01_1824__parmname1660182302018"><b>mapred.output.dir</b></span> to <strong id="mrs_01_1824__b55638104359">/user/admin/examples/output-data/map-reduce_workflow</strong>.</p>
+</p></li><li id="mrs_01_1824__l568558da7da14d299313bfdb3d12ba35"><span>Click the configuration button <span><img id="mrs_01_1824__i897cc04cb8c24a2c8824485be52ead46" src="en-us_image_0000001296250004.jpg"></span> in the upper right corner. On the configuration page that is displayed, click <span class="uicontrol" id="mrs_01_1824__uicontrol7520734173515"><b>Delete +</b></span> to delete a directory, for example, <strong id="mrs_01_1824__b352073413517">/user/admin/examples/output-data/map-reduce_workflow</strong>.</span></li><li id="mrs_01_1824__l8163d692595e41f4933460c58426db69"><span>Click <span><img id="mrs_01_1824__image1236335111194" src="en-us_image_0000001295930528.png"></span> in the upper right corner of the Oozie editor.</span><p><p id="mrs_01_1824__a83646b8d531e4bb79acec8ae4ecf6317">If you need to modify the job name before saving the job (default value: <strong id="mrs_01_1824__b1065614318192">My Workflow</strong>), click the name directly for modification, for example, <strong id="mrs_01_1824__b1366123141918">MapReduce-Workflow</strong>.</p>
+</p></li><li id="mrs_01_1824__l340b2f634dff4d15834eb809dfe51112"><span>After the configuration is saved, click <span><img id="mrs_01_1824__ie93dfeeb4d454a5b82c6df4a19e8fbe9" src="en-us_image_0000001296090360.jpg"></span>, and submit the job.</span><p><p id="mrs_01_1824__ac53474e98416487c8b9a3b5f1b113da6">After the job is submitted, you can view the related contents of the job, such as the detailed information, logs, and processes, on Hue.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1819.html">Submitting a Workflow Job</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1825.html b/docs/mrs/component-operation-guide/mrs_01_1825.html
new file mode 100644
index 000000000..9d96b1530
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1825.html
@@ -0,0 +1,17 @@
+<a name="mrs_01_1825"></a><a name="mrs_01_1825"></a>
+
+<h1 class="topictitle1">Submitting a Sub-workflow Job</h1>
+<div id="body1591347173671"><div class="section" id="mrs_01_1825__sfbe95a9941fd4e08bc97c71c8b517ec0"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1825__aac08cac0318645ee879f4ee3c8d0e9af">This section describes how to submit an Oozie job of the Sub-workflow type on the Hue web UI.</p>
+</div>
+<div class="section" id="mrs_01_1825__sc2686108ef93494cbd534364d7052089"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1825__o821a0fa37bde485ba32c2da4b59b4cf6"><li id="mrs_01_1825__la97d37a6c16b4cb0ba812b899633c531"><span>Create a workflow. For details, see <a href="mrs_01_1818.html">Creating a Workflow</a>.</span></li><li id="mrs_01_1825__la6a472620d9c4f4696eb516bbc5a999c"><span>On the workflow editing page, select <span><img id="mrs_01_1825__i6d288705ab4b487a99acabe00d2c471c" src="en-us_image_0000001349169829.jpg"></span> next to <strong id="mrs_01_1825__b0856174411205">Sub workflow</strong> and drag it to the operation area.</span></li><li id="mrs_01_1825__l8903ce6737ba412c861a3cf2e6bc1737"><span>In the <strong id="mrs_01_1825__b12674103162115">Sub workflow</strong> dialog box that is displayed, set <span class="parmname" id="mrs_01_1825__parmname26991730132110"><b>Sub-workflow</b></span>, for example, to <strong id="mrs_01_1825__b1367516314214">Java-Workflow</strong> (one of the created workflows) from the drop-down list box, and click <strong id="mrs_01_1825__b5676193132118">Add</strong>.</span><p><p id="mrs_01_1825__p136931410185415"><span><img id="mrs_01_1825__image146935103543" src="en-us_image_0000001296249732.png"></span></p>
+</p></li><li id="mrs_01_1825__l1f9b8de702654b118bcf128a6bdc4bd9"><span>Click <span><img id="mrs_01_1825__image1236335111194" src="en-us_image_0000001295930260.png"></span> in the upper right corner of the Oozie editor.</span><p><p id="mrs_01_1825__a29520a6ac1a041d88bd354102a2043ee">If you need to modify the job name before saving the job (default value: <span class="parmname" id="mrs_01_1825__parmname079191872110"><b>My Workflow</b></span>), click the name directly for modification, for example, <strong id="mrs_01_1825__b779721832116">Subworkflow-Workflow</strong>.</p>
+</p></li><li id="mrs_01_1825__l7c40f67c5a884e0e8c10b440a48ea634"><span>After the configuration is saved, click <span><img id="mrs_01_1825__i6bf4ad9f8332401188677d44025f376d" src="en-us_image_0000001295770304.jpg"></span>, and submit the job.</span><p><p id="mrs_01_1825__ae40b387431014192bdfaa3cfeb1465a7">After the job is submitted, you can view the related contents of the job, such as the detailed information, logs, and processes, on Hue.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1819.html">Submitting a Workflow Job</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1826.html b/docs/mrs/component-operation-guide/mrs_01_1826.html
new file mode 100644
index 000000000..97133a26f
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1826.html
@@ -0,0 +1,23 @@
+<a name="mrs_01_1826"></a><a name="mrs_01_1826"></a>
+
+<h1 class="topictitle1">Submitting a Shell Job</h1>
+<div id="body1591347174011"><div class="section" id="mrs_01_1826__s40a1a3b972534b649d80aeedc2d6ba55"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1826__a80c6fe0cbdac4b678ffd3ced6a327048">This section describes how to submit an Oozie job of the Shell type on the Hue web UI.</p>
+</div>
+<div class="section" id="mrs_01_1826__scd88532b81f84c3cbd05ba6f4c38a603"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1826__obfd0782408474bb9b2584989903d694e"><li id="mrs_01_1826__l72f71c6debee40659d66386d3797ec1d"><span>Create a workflow. For details, see <a href="mrs_01_1818.html">Creating a Workflow</a>.</span></li><li id="mrs_01_1826__l105e0e1992dc4202a5a43758f257d95b"><span>On the workflow editing page, select <span><img id="mrs_01_1826__i1bcef878ee9546f6a93482bc7ba515bf" src="en-us_image_0000001296249840.jpg"></span> next to <strong id="mrs_01_1826__b1443865218219">Shell</strong> and drag it to the operation area.</span></li><li id="mrs_01_1826__lfe10b792ca7143049e345f23a7e959cd"><span>In the <strong id="mrs_01_1826__b10633152220">Shell</strong> window that is displayed, set <span class="parmname" id="mrs_01_1826__parmname16864107182311"><b>Shell command</b></span>, for example, to <strong id="mrs_01_1826__b66421132214">oozie_shell.sh</strong>, and click <strong id="mrs_01_1826__b365111192212">Add</strong>.</span></li><li id="mrs_01_1826__li14112041154716"><span>Click <strong id="mrs_01_1826__b038733010113">FILE+</strong> to add the Shell command execution file or Oozie example execution file. You can select a file stored in HDFS or a local file.</span><p><ul id="mrs_01_1826__ul71833117483"><li id="mrs_01_1826__li518301174812">If the file is stored in HDFS, select the path of the <strong id="mrs_01_1826__b1297119230129">.sh</strong> file, for example, <strong id="mrs_01_1826__b15751231151219">user/hueuser/shell/oozie_shell.sh</strong>.<p id="mrs_01_1826__p550802719553"><span><img id="mrs_01_1826__image6508182735510" src="en-us_image_0000001296090188.png"></span></p>
+</li><li id="mrs_01_1826__li196412430500">If you select a local file, click <strong id="mrs_01_1826__b1319919296419">Upload a file</strong> on the <strong id="mrs_01_1826__b3112642954">Choose a file</strong> page to upload the local file. After the file is uploaded, select the file.</li></ul>
+</p></li><li id="mrs_01_1826__li123101945152413"><span>If the shell file to be executed needs to transfer parameters, click <strong id="mrs_01_1826__b750013131613">ARGUMENTS+</strong> to set parameters.</span><p><p id="mrs_01_1826__p14342029192717"><span><img id="mrs_01_1826__image193442912271" src="en-us_image_0000001348770221.png"></span></p>
+<div class="note" id="mrs_01_1826__note343091414281"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1826__p7382103412713">The sequence of transferring parameters must be the same as that in the shell script.</p>
+</div></div>
+</p></li><li id="mrs_01_1826__lc6bf928469e34c61988ddfa9ad20426f"><span>Click <span><img id="mrs_01_1826__image1236335111194" src="en-us_image_0000001295770400.png"></span> in the upper right corner of the Oozie editor.</span><p><p id="mrs_01_1826__a8c68dc95510c4b5c9f558a73a89c73f9">If you need to modify the job name before saving the job (default value: <span class="parmname" id="mrs_01_1826__parmname930192217224"><b>My Workflow</b></span>), click the name directly for modification, for example, <strong id="mrs_01_1826__b12364225221">Shell-Workflow</strong>.</p>
+</p></li><li id="mrs_01_1826__l1e81f0df23c948dcbf87e6095a5826c0"><span>After the configuration is saved, click <span><img id="mrs_01_1826__i4450a9547cab4456bf00a754f8c737b7" src="en-us_image_0000001295930364.jpg"></span>, and submit the job.</span><p><p id="mrs_01_1826__a51f6d8b8e2ec475eb1b7a3e4e31444cf">After the job is submitted, you can view the related contents of the job, such as the detailed information, logs, and processes, on Hue.</p>
+<div class="note" id="mrs_01_1826__ncc563539fa2143c7b14fc044d42a8322"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1826__u88a00b7ee98841ba98731c4ff719775a"><li id="mrs_01_1826__l5b37454f6860435c899183f61bc68a7c">When configuring a shell command as a Linux command, specify it as the original command instead of the shortcut key command. For example, do not set <strong id="mrs_01_1826__b535084416248">ls -l</strong> to <strong id="mrs_01_1826__b09811619172415">ll</strong>. You can configure it as the shell command <strong id="mrs_01_1826__b9784369246">ls</strong>, and add a parameter <strong id="mrs_01_1826__b94971344162419">-l</strong>.</li><li id="mrs_01_1826__li12342911164">When uploading the shell script to HDFS on Windows, make sure that the shell script format is Unix. If the format is incorrect, the shell job fails to be submitted.</li></ul>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1819.html">Submitting a Workflow Job</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1827.html b/docs/mrs/component-operation-guide/mrs_01_1827.html
new file mode 100644
index 000000000..dc08c72c7
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1827.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_1827"></a><a name="mrs_01_1827"></a>
+
+<h1 class="topictitle1">Submitting an HDFS Job</h1>
+<div id="body1591347174303"><div class="section" id="mrs_01_1827__sfb504f827006488f9f60ed6f0689966d"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1827__a24366b266d0e49d092826dcd8c3f107b">This section describes how to submit an Oozie job of the HDFS type on the Hue web UI.</p>
+</div>
+<div class="section" id="mrs_01_1827__sd0428b9c27cb40a284060caf0672463b"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1827__o5d7145e1b0134f308f8e9bc5cb46a468"><li id="mrs_01_1827__lf79f050784e945ecab78557905a94169"><span>Create a workflow. For details, see <a href="mrs_01_1818.html">Creating a Workflow</a>.</span></li><li id="mrs_01_1827__ldcbc174b46c347dcabe9b182ad3263d9"><span>On the workflow editing page, select <span><img id="mrs_01_1827__i18be0956abcb4307997a8c73d5d9a2ef" src="en-us_image_0000001295770592.jpg"></span> next to <strong id="mrs_01_1827__b6218459192515">Fs</strong> and drag it to the operation area.</span></li><li id="mrs_01_1827__l815083b1d7cb40309b352efed2dbb3dd"><span>In the <strong id="mrs_01_1827__b154124820267">Fs</strong> window that is displayed, click <strong id="mrs_01_1827__b441214812616">Add</strong>.</span></li><li id="mrs_01_1827__l3014e702ab95416faafd123743098235"><span>Click <strong id="mrs_01_1827__b9795121015262">CREATE DIRECTORY+</strong> to add the HDFS directories to be created, for example, <strong id="mrs_01_1827__b114101118132617">/user/admin/examples/output-data/mkdir_workflow</strong> and <strong id="mrs_01_1827__b14415111819263">/user/admin/examples/output-data/mkdir_workflow1</strong>.</span></li><li id="mrs_01_1827__l187bf8f28bc0448b8aeee40014524713"><span>Click <span><img id="mrs_01_1827__image1236335111194" src="en-us_image_0000001348770409.png"></span> in the upper right corner of the Oozie editor.</span><p><p id="mrs_01_1827__a88e37630f30342cbbcebfc3ebaeb2d78">If you need to modify the job name before saving the job (default value: <span class="parmname" id="mrs_01_1827__parmname1956262414268"><b>My Workflow</b></span>), click the name directly for modification, for example, <strong id="mrs_01_1827__b1156802482613">HDFS-Workflow</strong>.</p>
+</p></li><li id="mrs_01_1827__la8aa70076c414514a6da650112289192"><span>After the configuration is saved, click <span><img id="mrs_01_1827__ib5fde01dc31541e4b75a68dca4492ef9" src="en-us_image_0000001295930552.jpg"></span>, and submit the job.</span><p><p id="mrs_01_1827__aeecb600f9e1c46cc9a6f8443adaa27ea">After the job is submitted, you can view the related contents of the job, such as the detailed information, logs, and processes, on Hue.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1819.html">Submitting a Workflow Job</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1828.html b/docs/mrs/component-operation-guide/mrs_01_1828.html
new file mode 100644
index 000000000..07383faf2
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1828.html
@@ -0,0 +1,18 @@
+<a name="mrs_01_1828"></a><a name="mrs_01_1828"></a>
+
+<h1 class="topictitle1">Submitting a Streaming Job</h1>
+<div id="body1591347174953"><div class="section" id="mrs_01_1828__s2ca823757878477e86d837e309fe5681"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1828__afedc443758c6427cb9d13f3a2ed92ae0">This section describes how to submit an Oozie job of the Streaming type on the Hue web UI.</p>
+</div>
+<div class="section" id="mrs_01_1828__sa56ee812d87d4ebf9591237384a4302c"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1828__o9911278fc241427c9b4769cfa62d9ee8"><li id="mrs_01_1828__l628d22ad1ce546c0b862eff3887cd298"><span>Create a workflow. For details, see <a href="mrs_01_1818.html">Creating a Workflow</a>.</span></li><li id="mrs_01_1828__l1a86f7da433945bb8a5eb7d4f03c0565"><span>On the workflow editing page, select <span><img id="mrs_01_1828__ibffa3671c5034ec6a6c7120b8f9dfbf7" src="en-us_image_0000001348770305.jpg"></span> next to <strong id="mrs_01_1828__b79221241289">Streaming</strong> and drag it to the operation area.</span></li><li id="mrs_01_1828__l04058bf98cd64ce3917c7e67330ee32e"><span>In the <strong id="mrs_01_1828__b3544121682810">Streaming</strong> window that is displayed, set <span class="parmname" id="mrs_01_1828__parmname02962219268"><b>Mapper</b></span>, for example, to <strong id="mrs_01_1828__b11550116162819">/bin/cat</strong>. Set <span class="parmname" id="mrs_01_1828__parmname12519161192616"><b>Reducer</b></span>, for example, to <strong id="mrs_01_1828__b682718193288">/usr/bin/wc</strong>. Click <strong id="mrs_01_1828__b26807221284">Add</strong>.</span></li><li id="mrs_01_1828__l2d8c9611f31c484b8c7148971f71d393"><span>Click <strong id="mrs_01_1828__b71531241143611">FILE+</strong> to add the files required for running.</span><p><p id="mrs_01_1828__a6798092a2aae46da9af42c682165f85d">for example, <strong id="mrs_01_1828__b127561357281">/user/oozie/share/lib/mapreduce-streaming/hadoop-streaming-3.1.1.jar</strong> and <strong id="mrs_01_1828__b1756153514284">/user/oozie/share/lib/mapreduce-streaming/oozie-sharelib-streaming-5.1.0.jar</strong>.</p>
+</p></li><li id="mrs_01_1828__leacfe3a6b1ef4339babb695d0a270c33"><span>Click the configuration button <span><img id="mrs_01_1828__i3392bba734764f4ca5379c782212cbea" src="en-us_image_0000001296249924.jpg"></span> in the upper right corner. On the configuration page that is displayed, click <span class="uicontrol" id="mrs_01_1828__uicontrol4605642332"><b>Delete+</b></span> to delete a directory, for example, <strong id="mrs_01_1828__b176059419332">/user/admin/examples/output-data/streaming_workflow</strong>.</span></li><li id="mrs_01_1828__l6f9ab73a6c494216bc9cd5523d27e209"><span>Click <strong id="mrs_01_1828__b1876311519335">PROPERTIES+</strong> to add the following properties:</span><p><ul id="mrs_01_1828__ud351867ca8ec45d88758ada078cf1b02"><li id="mrs_01_1828__l74e0a07209c14368b571b79e99efb529">Enter the property name <span class="parmname" id="mrs_01_1828__parmname47127152811"><b>mapred.input.dir</b></span> in the left box and enter the property value <strong id="mrs_01_1828__b14418128298">/user/admin/examples/input-data/text</strong> in the right box.</li><li id="mrs_01_1828__l7b837f59a5da4950946aa9a6e0245936">Enter the property name <span class="parmname" id="mrs_01_1828__parmname1186144813287"><b>mapred.output.dir</b></span> in the left box and enter the attribute value <strong id="mrs_01_1828__b135693256292">/user/admin/examples/output-data/streaming_workflow</strong> in the right box.</li></ul>
+</p></li><li id="mrs_01_1828__l98a18787d4a946828343b461c8d105ba"><span>Click <span><img id="mrs_01_1828__image1236335111194" src="en-us_image_0000001296090268.png"></span> in the upper right corner of the Oozie editor.</span><p><p id="mrs_01_1828__adfaa4fcd35194c1a924c2f81ffd76abf">If you need to modify the job name before saving the job (default value: <span class="parmname" id="mrs_01_1828__parmname235311403338"><b>My Workflow</b></span>), click the name directly for modification, for example, <strong id="mrs_01_1828__b535884014332">Streaming-Workflow</strong>.</p>
+</p></li><li id="mrs_01_1828__l0303ca4abfb6498fa9791726fe1e1b22"><span>After the configuration is saved, click <span><img id="mrs_01_1828__i45d0511af0314cd99716eb579ba2864d" src="en-us_image_0000001295930444.jpg"></span>, and submit the job.</span><p><p id="mrs_01_1828__a6ca82e95d3c8452b8490d22c0592889b">After the job is submitted, you can view the related contents of the job, such as the detailed information, logs, and processes, on Hue.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1819.html">Submitting a Workflow Job</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1829.html b/docs/mrs/component-operation-guide/mrs_01_1829.html
new file mode 100644
index 000000000..8f3066591
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1829.html
@@ -0,0 +1,23 @@
+<a name="mrs_01_1829"></a><a name="mrs_01_1829"></a>
+
+<h1 class="topictitle1">Submitting a DistCp Job</h1>
+<div id="body1591347175449"><div class="section" id="mrs_01_1829__s26fe7077456a424ea246b3aa6d24fc8e"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1829__a1492a0bbdca64153860263304849bebc">This section describes how to submit an Oozie job of the DistCp type on the Hue web UI.</p>
+</div>
+<div class="section" id="mrs_01_1829__s32fd4b7ddc844fb0a40b374d0fab9b81"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1829__oc119de0018c9458dba1ccb9c13c09b81"><li id="mrs_01_1829__l1b4c10709a3240d6ac39edf0eb51174d"><span>Create a workflow. For details, see <a href="mrs_01_1818.html">Creating a Workflow</a>.</span></li><li id="mrs_01_1829__lac0765f30ee443d3bf3ca65938df3c24"><span>On the workflow editing page, select <span><img id="mrs_01_1829__i7eb48927033d46099667e89070e4d7ac" src="en-us_image_0000001349089981.jpg"></span> next to <strong id="mrs_01_1829__b117141794712">Distcp</strong> and drag it to the operation area.</span></li><li id="mrs_01_1829__li16760834133919"><span>Determine whether the current DistCp operation is performed across clusters.</span><p><ul id="mrs_01_1829__ul789195253913"><li id="mrs_01_1829__li12683185917392">If yes, go to <a href="#mrs_01_1829__li15967531204920">4</a>.</li><li id="mrs_01_1829__li689219524398">If no, go to <a href="#mrs_01_1829__le4a671e8c2a94b948e244fe188cfe08f">7</a>.</li></ul>
+</p></li><li id="mrs_01_1829__li15967531204920"><a name="mrs_01_1829__li15967531204920"></a><a name="li15967531204920"></a><span>Establish cross-Manager mutual trust between two clusters.</span></li><li id="mrs_01_1829__li6622173114373"><span>In the <strong id="mrs_01_1829__b646613210492">Distcp</strong> window that is displayed, set the value of <span class="parmname" id="mrs_01_1829__parmname54674214495"><b>Source</b></span>, for example, to <strong id="mrs_01_1829__b104676212491">hdfs://hacluster/user/admin/examples/input-data/text/data.txt</strong>. Set <span class="parmname" id="mrs_01_1829__parmname9160207195015"><b>Destination</b></span>, for example, to <strong id="mrs_01_1829__b1816519765019">hdfs://target_ip:target_port/user/admin/examples/output-data/distcp-workflow/data.txt</strong>. Click <strong id="mrs_01_1829__b28201921195013">Add</strong>.</span></li><li id="mrs_01_1829__li13807104654112"><span>Click the configuration button <span><img id="mrs_01_1829__image18101717423" src="en-us_image_0000001296090140.jpg"></span> in the upper right corner. On the <strong id="mrs_01_1829__b1543221211519">Properties</strong> tab page, click <strong id="mrs_01_1829__b693202045116">PROPERTIES+</strong>, enter the attribute name <strong id="mrs_01_1829__b1543814281519">oozie.launcher.mapreduce.job.hdfs-servers</strong> in the text box on the left, enter the attribute value <strong id="mrs_01_1829__b649705575214">hdfs://</strong><em id="mrs_01_1829__i145381641193412">source_ip</em><em id="mrs_01_1829__i1330365916161">:source_port</em><strong id="mrs_01_1829__b197891939132011">,</strong><strong id="mrs_01_1829__b1413018172013">hdfs://</strong><em id="mrs_01_1829__i327271417178">target_ip:target_port</em> in the text box on the right, and go to <a href="#mrs_01_1829__lfc85380934e241ed8783edbf9b9a4e0f">8</a>.</span><p><div class="note" id="mrs_01_1829__note1826103901612"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1829__p175601324102317"><em id="mrs_01_1829__i123911869532">source_ip</em>: service address of the HDFS NameNode in the source cluster</p>
+<p id="mrs_01_1829__p128277393163"><em id="mrs_01_1829__i1443511915310">source_port</em>: port number of the HDFS NameNode in the source cluster.</p>
+<p id="mrs_01_1829__p1399011118244"><em id="mrs_01_1829__i1912394045319">target_ip</em>: service address of the HDFS NameNode in the target cluster</p>
+<p id="mrs_01_1829__p1137434116185"><em id="mrs_01_1829__i196081659205314">target_port</em>: port number of the HDFS NameNode in the target cluster.</p>
+</div></div>
+</p></li><li id="mrs_01_1829__le4a671e8c2a94b948e244fe188cfe08f"><a name="mrs_01_1829__le4a671e8c2a94b948e244fe188cfe08f"></a><a name="le4a671e8c2a94b948e244fe188cfe08f"></a><span>In the <strong id="mrs_01_1829__b255832512476">Distcp</strong> window that is displayed, set the value of <span class="parmname" id="mrs_01_1829__parmname47921330162917"><b>Source</b></span>, for example, to <strong id="mrs_01_1829__b7559162534712">/user/admin/examples/input-data/text/data.txt</strong>. Set <span class="parmname" id="mrs_01_1829__parmname5391039122912"><b>Destination</b></span>, for example, to <strong id="mrs_01_1829__b63141327164714">/user/admin/examples/output-data/distcp-workflow/data.txt</strong>. Click <strong id="mrs_01_1829__b129499285476">Add</strong>.</span></li><li id="mrs_01_1829__lfc85380934e241ed8783edbf9b9a4e0f"><a name="mrs_01_1829__lfc85380934e241ed8783edbf9b9a4e0f"></a><a name="lfc85380934e241ed8783edbf9b9a4e0f"></a><span>Click <span><img id="mrs_01_1829__if18ee05828cb4f45b5cd244181c9af4b" src="en-us_image_0000001349289449.jpg"></span> in the upper right corner. On the configuration page that is displayed, click <span class="uicontrol" id="mrs_01_1829__uicontrol1223083054716"><b>Delete+</b></span> and add the directory to be deleted, for example, <strong id="mrs_01_1829__b1723115308470">/user/admin/examples/output-data/distcp-workflow</strong>.</span><p><p id="mrs_01_1829__p5262163113017"><span><img id="mrs_01_1829__image1526214311203" src="en-us_image_0000001295770356.png"></span></p>
+</p></li><li id="mrs_01_1829__la0464a04972143f898582ba514dfb983"><span>Click <span><img id="mrs_01_1829__image1236335111194" src="en-us_image_0000001349289453.png"></span> in the upper right corner of the Oozie editor.</span><p><p id="mrs_01_1829__a22f905d43ed7482788c19638c96e5615">If you need to modify the job name before saving the job (default value: <span class="parmname" id="mrs_01_1829__parmname178541856144713"><b>My Workflow</b></span>), click the name directly for modification, for example, <strong id="mrs_01_1829__b1785975644718">Distcp-Workflow</strong>.</p>
+</p></li><li id="mrs_01_1829__lcc30e61755fd4c3bbc246067b1827117"><span>After the configuration is saved, click <span><img id="mrs_01_1829__ibf7141bce5fc4e8c98612031747e06a3" src="en-us_image_0000001349169877.jpg"></span>, and submit the job.</span><p><p id="mrs_01_1829__a70fa221968564db2bd8a0f4e5df52793">After the job is submitted, you can view the related contents of the job, such as the detailed information, logs, and processes, on Hue.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1819.html">Submitting a Workflow Job</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1830.html b/docs/mrs/component-operation-guide/mrs_01_1830.html
new file mode 100644
index 000000000..5c00a1727
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1830.html
@@ -0,0 +1,23 @@
+<a name="mrs_01_1830"></a><a name="mrs_01_1830"></a>
+
+<h1 class="topictitle1">Example of Mutual Trust Operations</h1>
+<div id="body1591347175451"><div class="section" id="mrs_01_1830__s6b7922d8fee84bc2b1b3c1f7f6031d2e"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1830__a63525d62d2c14df192e26aa51d73a108">This section guides you to enable unidirectional password-free mutual trust when Oozie nodes are used to execute shell scripts of external nodes through SSH jobs.</p>
+</div>
+<div class="section" id="mrs_01_1830__s05a583c060ef46b7b900c533dbbceb4b"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_1830__a617cd2b628bf4d038ca8387f880863f1">You have installed Oozie, and it can communicate with external nodes (nodes connected using SSH).</p>
+</div>
+<div class="section" id="mrs_01_1830__sc6d878be4cf04431ace78ebe89ea3a46"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1830__o67a7de77625645f69f017dbedae33213"><li id="mrs_01_1830__l8c161d8dbc944a019599145938d15030"><span>Ensure that the user used for SSH connection exists on the external node, and the user directory <span class="filepath" id="mrs_01_1830__filepath1474019433308"><b>~/.ssh</b></span> exists.</span></li><li id="mrs_01_1830__l96d21b37b10243138833bdb06d4c78ef"><a name="mrs_01_1830__l96d21b37b10243138833bdb06d4c78ef"></a><a name="l96d21b37b10243138833bdb06d4c78ef"></a><span>Log in to the Oozie node as user <strong id="mrs_01_1830__b7619266252938">omm</strong> and run the <strong id="mrs_01_1830__b140770365852938">ssh-keygen -t rsa</strong> command to generate public and private keys.</span></li><li id="mrs_01_1830__l743471d5b1b94637863dd3a218e51ee5"><span>Run the <strong id="mrs_01_1830__b173914115552938">cat ~/.ssh/id_rsa.pub &gt;&gt; ~/.ssh/authorized_keys</strong> statement to add the public key to the <span class="filepath" id="mrs_01_1830__filepath1373852373317"><b>authorized_keys</b></span> file.</span></li><li id="mrs_01_1830__li19793111323111"><a name="mrs_01_1830__li19793111323111"></a><a name="li19793111323111"></a><span>Upload the <strong id="mrs_01_1830__b267924872514">id_rsa.pub</strong> file to an existing directory, for example, <strong id="mrs_01_1830__b13478165162520">/opt/</strong>, on the external node as user <strong id="mrs_01_1830__b640113543255">root</strong>.</span><p><p id="mrs_01_1830__p19520101619318"><strong id="mrs_01_1830__b1134413112619">scp ~/.ssh/id_rsa.pub root@</strong><em id="mrs_01_1830__i166811617192620">IP address of the external node</em><strong id="mrs_01_1830__b4995142052610">:/opt/id_rsa.pub</strong></p>
+</p></li><li id="mrs_01_1830__l3474ff88b5b74df88b592efa8f416f61"><span>Log in to the external node where the shell is located and go to the directory described in <a href="#mrs_01_1830__li19793111323111">4</a>. The <span class="filepath" id="mrs_01_1830__filepath113499583210"><b>id_rsa.pub</b></span> file can be found.</span><p><p id="mrs_01_1830__ab2910a3223f94b5ab60e28f2c9c014a7">Run the <strong id="mrs_01_1830__b196242090352938">cat id_rsa.pub &gt;&gt; ~/.ssh/authorized_keys</strong> statement to add the public key to the <span class="filepath" id="mrs_01_1830__filepath18573122643311"><b>authorized_keys</b></span> file of the shell user.</p>
+</p></li><li id="mrs_01_1830__la002c4226a504afaa899314ea2c1c67e"><a name="mrs_01_1830__la002c4226a504afaa899314ea2c1c67e"></a><a name="la002c4226a504afaa899314ea2c1c67e"></a><span>Change the permission on the directory.</span><p><p id="mrs_01_1830__a8a6f8157ad914cf5bf3ff80f7dd778f6"><strong id="mrs_01_1830__a6eef33955b6c4975aa4a3374fe376680">chmod 700 ~/.ssh</strong></p>
+<p id="mrs_01_1830__a15305e0b081740a2a28507c7dc16705b"><strong id="mrs_01_1830__adf1148daa7794e22842943971492b2c0">chmod 600 /opt/id_rsa.pub</strong></p>
+<div class="p" id="mrs_01_1830__aaca38692b90046c09ebbf9d090075e05"><strong id="mrs_01_1830__a861023b529774854ae45404d712538d3">chmod 600 ~/.ssh/authorized_keys</strong><div class="note" id="mrs_01_1830__ncc563539fa2143c7b14fc044d42a8322"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1830__u88a00b7ee98841ba98731c4ff719775a"><li id="mrs_01_1830__l5b37454f6860435c899183f61bc68a7c">The user of the node where shell resides (external node) has the permission to execute shell scripts and access all directories and files involved in the Shell scripts.</li><li id="mrs_01_1830__le85ebaaf8dfa4e5ca3186a95a27892d8">If Oozie has multiple nodes, perform <a href="#mrs_01_1830__l96d21b37b10243138833bdb06d4c78ef">2</a> to <a href="#mrs_01_1830__la002c4226a504afaa899314ea2c1c67e">6</a> on all Oozie nodes.</li></ul>
+</div></div>
+</div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1819.html">Submitting a Workflow Job</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1831.html b/docs/mrs/component-operation-guide/mrs_01_1831.html
new file mode 100644
index 000000000..fbde2410a
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1831.html
@@ -0,0 +1,18 @@
+<a name="mrs_01_1831"></a><a name="mrs_01_1831"></a>
+
+<h1 class="topictitle1">Submitting an SSH Job</h1>
+<div id="body1591347175923"><div class="section" id="mrs_01_1831__sece971ac6b8e42a8bd639bc47a9715e8"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1831__a20e8f318a3004a948f33b97dd24390e5">This section guides you to submit an Oozie job of the SSH type on the Hue web UI.</p>
+<p id="mrs_01_1831__p18703438528">Due to security risks, SSH jobs cannot be submitted by default. To use the SSH function, you need to manually enable it.</p>
+</div>
+<div class="section" id="mrs_01_1831__s707ee9572a6c4d7e8a699afc8c8cfcac"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1831__o6f72e354cc904a208752f15623eeaebc"><li id="mrs_01_1831__li014315568474"><span>Enable the SSH function.</span><p><ol type="a" id="mrs_01_1831__ol13260171613482"><li id="mrs_01_1831__li143717536458">On FusionInsight Manager, choose <strong id="mrs_01_1831__b959918581649">Cluster</strong> &gt; <strong id="mrs_01_1831__b437319511">Services</strong> &gt; <strong id="mrs_01_1831__b15862091258">Oozie</strong> and click the <strong id="mrs_01_1831__b2708391454">Configurations</strong> tab and then <strong id="mrs_01_1831__b174207514517">All Configurations</strong>. In the navigation pane on the left, choose <strong id="mrs_01_1831__b181428265616">oozie(Role)</strong> &gt; <strong id="mrs_01_1831__b313214329615">Security</strong>, change the value of <strong id="mrs_01_1831__b1375810541669">oozie.job.ssh.enable</strong> to <strong id="mrs_01_1831__b135591731271">true</strong>, and click <strong id="mrs_01_1831__b1593751820717">Save</strong>. In the displayed dialog box, click <strong id="mrs_01_1831__b165685466715">OK</strong> to save the configuration.</li><li id="mrs_01_1831__li474271110505">On the <strong id="mrs_01_1831__b082239537">Dashboard</strong> page of Oozie, choose <strong id="mrs_01_1831__b188296912318">More</strong> &gt; <strong id="mrs_01_1831__b6830209438">Restart Service</strong> in the upper-right corner to restart Oozie.</li></ol>
+</p></li><li id="mrs_01_1831__l9c41aa2dac9a48198a3bcb2c170e86e2"><span>Create a workflow. For details, see <a href="mrs_01_1818.html">Creating a Workflow</a>.</span></li><li id="mrs_01_1831__le55d509ceb004262807d4bb7533bdda1"><span>For details about how to add the trust relationship, see <a href="mrs_01_1830.html">Example of Mutual Trust Operations</a>.</span></li><li id="mrs_01_1831__l22b5ec105e39433188223f788bc5fe2d"><span>On the workflow editing page, select the <strong id="mrs_01_1831__b33221943195310">Ssh</strong> button <span><img id="mrs_01_1831__i72cd518cc9694f61b875b3dd1599071d" src="en-us_image_0000001296090276.jpg"></span> and drag it to the operation area.</span></li><li id="mrs_01_1831__lf1fdc1b28b574502a3988b3bbd281232"><span>In the <strong id="mrs_01_1831__b1144155259">Ssh</strong> window that is displayed, set <span class="parmname" id="mrs_01_1831__parmname524135043416"><b>User and Host</b></span> and <span class="parmname" id="mrs_01_1831__parmname1619511575342"><b>Ssh command</b></span> commands and click <strong id="mrs_01_1831__b0576182822510">Add</strong>.</span></li><li id="mrs_01_1831__l227e9bd11d4f4711be2721dd1a192973"><span>Click <span><img id="mrs_01_1831__image1236335111194" src="en-us_image_0000001349289609.png"></span> in the upper right corner of the Oozie editor.</span><p><p id="mrs_01_1831__a269166b5b5854ef1a9c1faf815d41bda">If you need to modify the job name before saving the job (default value: <span class="parmname" id="mrs_01_1831__parmname118778815545"><b>My Workflow</b></span>), click the name directly for modification, for example, <strong id="mrs_01_1831__b48821181546">Ssh-Workflow</strong>.</p>
+</p></li><li id="mrs_01_1831__lfd13b90c41184d54bf38baa77da8d239"><span>After the configuration is saved, click <span><img id="mrs_01_1831__iff9543b1b0844c67b0158de04ac7a770" src="en-us_image_0000001296249932.jpg"></span>, and submit the job.</span><p><p id="mrs_01_1831__a5b8939a5e7934158bce4725266f78abe">After the job is submitted, you can view the related contents of the job, such as the detailed information, logs, and processes, on Hue.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1819.html">Submitting a Workflow Job</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1840.html b/docs/mrs/component-operation-guide/mrs_01_1840.html
new file mode 100644
index 000000000..c7f257517
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1840.html
@@ -0,0 +1,21 @@
+<a name="mrs_01_1840"></a><a name="mrs_01_1840"></a>
+
+<h1 class="topictitle1">Submitting a Coordinator Periodic Scheduling Job</h1>
+<div id="body1591347179984"><div class="section" id="mrs_01_1840__s76586038ae354796a8083ce6a7979896"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1840__a71310ac298c74be0a0db46f51605a6e0">This section describes how to submit a job of the periodic scheduling type on the Hue web UI.</p>
+</div>
+<div class="section" id="mrs_01_1840__s390d9b16780b49a6a4432b723690f93e"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_1840__a13daedd4018947039046384c607fcb4d">Required workflow jobs have been configured before the coordinator task is submitted.</p>
+</div>
+<div class="section" id="mrs_01_1840__s358e91dc42e3443b8ad9ab6db41b3b46"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1840__oc4a986ddf00949609b98f50441015d83"><li id="mrs_01_1840__l4d7d889e9405444a974ca16cbe646079"><span>Access the Hue web UI. For details, see <a href="mrs_01_0132.html">Accessing the Hue Web UI</a>.</span></li><li id="mrs_01_1840__le222fc78b38c48138b15b252dc9a04f7"><span>In the navigation tree on the left, click <span><img id="mrs_01_1840__image2607133802416" src="en-us_image_0000001349289777.png"></span> and choose <strong id="mrs_01_1840__b17758533479">Schedule</strong> to open the Coordinator editor.</span></li><li id="mrs_01_1840__li1579215903513"><span>On the job editing page, click <span class="uicontrol" id="mrs_01_1840__uicontrol77931859163514"><b>My Schedule</b></span> to change the job name.</span></li><li id="mrs_01_1840__l8425fffdb1d24644a2386a7f3d5bf1a3"><span>Click <span class="menucascade" id="mrs_01_1840__me7cdcc09b9d2470383ae8a894a738d0b"><b><span class="uicontrol" id="mrs_01_1840__uf77bd8c5e8ec43bbbae7acd468c7f869">Choose a workflow...</span></b></span> to select the workflow to be orchestrated.</span><p><p id="mrs_01_1840__p7176161593416"><span><img id="mrs_01_1840__image0176191593411" src="en-us_image_0000001295930624.png"></span></p>
+</p></li><li id="mrs_01_1840__l71381f9c820447dbaeb6e1676ff31962"><span>After you select the workflow, set the job execution frequency as prompted. If the workflow to be executed needs to transfer parameters, click <strong id="mrs_01_1840__b423342817224">+ Add parameter</strong> to set parameters and click <span><img id="mrs_01_1840__image1236335111194" src="en-us_image_0000001348770481.png"></span> in the upper right corner to save the job.</span><p><div class="note" id="mrs_01_1840__n20a2d4a6fa2744518c36459cd678da0b"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1840__af8d2474b42484f8ead73d07bb04982ce">Because the time zone is changed, the difference between the time and the local time may be several hours. </p>
+</div></div>
+</p></li><li id="mrs_01_1840__l4269e0f12bb645f7b2ffded36366758e"><span>Click <span><img id="mrs_01_1840__ic5325b86f79c48f2be1f0addc3af2be5" src="en-us_image_0000001349090297.jpg"></span> in the upper right corner of the editor, set the start value and end value of the time range for executing the scheduled job, and click <span class="menucascade" id="mrs_01_1840__menucascade11667185932013"><b><span class="uicontrol" id="mrs_01_1840__uicontrol1766620598205">Submit</span></b></span> to submit the job.</span><p><div class="note" id="mrs_01_1840__n9466082cc4ef4772b28086262a016a11"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1840__a7d02a2280f5943a493eb7b20aefb06df">Because the time zone is changed, the difference between the time and the local time may be several hours. </p>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1817.html">Using Hue to Submit an Oozie Job</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1841.html b/docs/mrs/component-operation-guide/mrs_01_1841.html
new file mode 100644
index 000000000..40d41f961
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1841.html
@@ -0,0 +1,19 @@
+<a name="mrs_01_1841"></a><a name="mrs_01_1841"></a>
+
+<h1 class="topictitle1">Submitting a Bundle Batch Processing Job</h1>
+<div id="body1591347180577"><div class="section" id="mrs_01_1841__se225a14ddca347bf94aa5fe41a52a17d"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1841__aca2ac8c41e36400b87b70ce691d5136f">In the case that multiple scheduled jobs exist at the same time, you can manage the jobs in batches over the Bundle task. This section describes how to submit a job of the batch type on the Hue web UI.</p>
+</div>
+<div class="section" id="mrs_01_1841__sf4c85d7492ae40b7a04db2ec2a2f04aa"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_1841__ac5436a0e822b498baed917437b1b2e18">Required related workflow and Coordinator jobs have been configured before the Bundle batch processing job is submitted.</p>
+</div>
+<div class="section" id="mrs_01_1841__s77c328fe262440939d2996839dcfaeab"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1841__o91ed295e32b3452abd7ea95a9ebe0bf4"><li id="mrs_01_1841__l649e5944d9c14667be4c6725d9958b99"><span>Access the Hue web UI. For details, see <a href="mrs_01_0132.html">Accessing the Hue Web UI</a>.</span></li><li id="mrs_01_1841__l0356a63726d94706837a4dc30d9acd31"><span>In the navigation tree on the left, click <span><img id="mrs_01_1841__image2607133802416" src="en-us_image_0000001296250068.png"></span> and choose <strong id="mrs_01_1841__b57581617787">Bundle</strong> to open the Bundle editor.</span></li><li id="mrs_01_1841__li108361934154014"><span>On the job editing page, click <span class="uicontrol" id="mrs_01_1841__uicontrol7837234174015"><b>My Bundle</b></span> to change the job name.</span></li><li id="mrs_01_1841__l40c97425ed154e2a93a8e7b03dec88da"><span>Click <span class="menucascade" id="mrs_01_1841__mae0f10e160d14099b6315a1df6e6baa9"><b><span class="uicontrol" id="mrs_01_1841__u7ba497eb2db54a87a088f5679fb5fbad">+Add a coordinator</span></b></span> to select the Coordinator job to be orchestrated.</span></li><li id="mrs_01_1841__l02350a40ec23478d8b527fc83149ae44"><span>Set the start time and the end time for the scheduled coordinator jobs as prompted and click <span><img id="mrs_01_1841__if2791833c26e408bb357425c3c645b0c" src="en-us_image_0000001295770636.png"></span> in the upper right corner to save the job.</span></li><li id="mrs_01_1841__l68c4bbfcd39f47cdb3b86f9fa223ad7f"><span>Click <span><img id="mrs_01_1841__image548618153454" src="en-us_image_0000001295930596.png"></span> in the upper right corner of the editor, select <span><img id="mrs_01_1841__i17715369b78146b6859c44d8f1c83ffd" src="en-us_image_0000001296090420.png"></span> from the displayed menu, set the start time of the bundle task, click <strong id="mrs_01_1841__b11541527203911">+Add parameter</strong> to add parameters, and close the dialog box to save the settings.</span><p><p id="mrs_01_1841__p58131246103411"><span><img id="mrs_01_1841__image2813174643417" src="en-us_image_0000001296090424.png"></span></p>
+<div class="note" id="mrs_01_1841__n005c678950df4149a7658b88754c8140"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1841__a3f06c21afad249f2a9f0cf02cca5459f">Because the time zone is changed, the difference between the time and the local time may be several hours. </p>
+</div></div>
+</p></li><li id="mrs_01_1841__l41d6ed0de8cb428abd107e65ecb1ee10"><span>Click <span><img id="mrs_01_1841__ice2a2ec54b664a3c883633c3c42d42d8" src="en-us_image_0000001295770632.jpg"></span> in the upper right corner of the editor. In the dialog box that is displayed, click <span class="menucascade" id="mrs_01_1841__menucascade17167651182810"><b><span class="uicontrol" id="mrs_01_1841__uicontrol1116618512289">Submit</span></b></span> to submit the job.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1817.html">Using Hue to Submit an Oozie Job</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1842.html b/docs/mrs/component-operation-guide/mrs_01_1842.html
new file mode 100644
index 000000000..9f7c07788
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1842.html
@@ -0,0 +1,14 @@
+<a name="mrs_01_1842"></a><a name="mrs_01_1842"></a>
+
+<h1 class="topictitle1">Querying the Operation Results</h1>
+<div id="body1591347180579"><div class="section" id="mrs_01_1842__s26e06c2d9b1c4948a79424e5b5f789a7"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1842__a17dddf490e4a4354b165043f4db7f328">After the jobs are submitted, you can view the execution status of a specific job on Hue.</p>
+</div>
+<div class="section" id="mrs_01_1842__s90d114756c9a461481bb7c7fa8b2522e"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1842__o213d5825a4fd4cc3a41ef2a3c663f37a"><li id="mrs_01_1842__l32f1119598d347e58da3c1165456e74b"><span>Access the Hue web UI. For details, see <a href="mrs_01_0132.html">Accessing the Hue Web UI</a>.</span></li><li id="mrs_01_1842__l82ea96d328c549e196ff93e633eef3c3"><span>Click <span><img id="mrs_01_1842__image11241158123912" src="en-us_image_0000001296090192.png"></span>. On the displayed page, you can view information about the Workflow, Schedule, and Bundle tasks.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1817.html">Using Hue to Submit an Oozie Job</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1843.html b/docs/mrs/component-operation-guide/mrs_01_1843.html
new file mode 100644
index 000000000..7c8df6a30
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1843.html
@@ -0,0 +1,201 @@
+<a name="mrs_01_1843"></a><a name="mrs_01_1843"></a>
+
+<h1 class="topictitle1">Oozie Log Overview</h1>
+<div id="body1591347180583"><div class="section" id="mrs_01_1843__sbf386c42e32c436f986b14e7240ea39b"><h4 class="sectiontitle">Log Description</h4><p id="mrs_01_1843__en-us_topic_0046736744_p66543725"><strong id="mrs_01_1843__b17580556143317">Log path</strong>: The default storage paths of Oozie log files are as follows:</p>
+<ul id="mrs_01_1843__en-us_topic_0046736744_ul21332670"><li id="mrs_01_1843__en-us_topic_0046736744_li57776310">Run log: <strong id="mrs_01_1843__b199705911911318">/var/log/Bigdata/oozie</strong></li><li id="mrs_01_1843__en-us_topic_0046736744_li50224748">Audit log: <strong id="mrs_01_1843__b190135007111318">/var/log/Bigdata/audit/oozie</strong></li></ul>
+<p id="mrs_01_1843__en-us_topic_0046736744_p49369553"><strong id="mrs_01_1843__en-us_topic_0046736744_b41672798">Log archiving rule</strong>: Oozie logs are classified into run logs, script logs, and audit logs. The maximum size of a run log file is 20 MB, and a maximum of 20 run log files can be reserved. The maximum size of an audit log file is 20 MB, and a maximum of 20 audit log files can be reserved.</p>
+<div class="note" id="mrs_01_1843__en-us_topic_0046736744_note39510869"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_1843__en-us_topic_0046736744_p20053501">A compressed log file is generated for <strong id="mrs_01_1843__b22829299211318">oozie.log</strong> every hour. 720 compressed files (log files of one month) are retained by default.</p>
+</div></div>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1843__en-us_topic_0046736744_table46263784" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Oozie log list</caption><thead align="left"><tr id="mrs_01_1843__en-us_topic_0046736744_row57777877"><th align="left" class="cellrowborder" valign="top" width="13.270000000000001%" id="mcps1.3.1.6.2.4.1.1"><p id="mrs_01_1843__en-us_topic_0046736744_p49496426"><strong id="mrs_01_1843__en-us_topic_0046736744_b42814651">Log Type</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="34.69%" id="mcps1.3.1.6.2.4.1.2"><p id="mrs_01_1843__en-us_topic_0046736744_p45434746"><strong id="mrs_01_1843__en-us_topic_0046736744_b6259538">Log File Name</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="52.04%" id="mcps1.3.1.6.2.4.1.3"><p id="mrs_01_1843__en-us_topic_0046736744_p37260532"><strong id="mrs_01_1843__en-us_topic_0046736744_b66909338">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1843__en-us_topic_0046736744_row50947274"><td class="cellrowborder" rowspan="11" valign="top" width="13.270000000000001%" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1843__en-us_topic_0046736744_p33088539">Run log</p>
+<p id="mrs_01_1843__p1853425611534"></p>
+<p id="mrs_01_1843__p84591961391"></p>
+<p id="mrs_01_1843__p13138832204914"></p>
+<p id="mrs_01_1843__p1353824014203"></p>
+<p id="mrs_01_1843__p2539040102014"></p>
+<p id="mrs_01_1843__p85391640162019"></p>
+<p id="mrs_01_1843__p953918402207"></p>
+<p id="mrs_01_1843__p15539140102017"></p>
+<p id="mrs_01_1843__p953964082014"></p>
+<p id="mrs_01_1843__p6539340152012"></p>
+<p id="mrs_01_1843__p2539164022010"></p>
+</td>
+<td class="cellrowborder" valign="top" width="34.69%" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1843__p1380852143117">jetty.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="52.04%" headers="mcps1.3.1.6.2.4.1.3 "><p id="mrs_01_1843__p370912873214">Oozie built-in jetty server log file, which is used to process the request and response information of OozieServlet</p>
+</td>
+</tr>
+<tr id="mrs_01_1843__en-us_topic_0046736744_row37703477"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1843__en-us_topic_0046736744_p34082795">jetty.out</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1843__en-us_topic_0046736744_p9242981">Oozie process startup log file</p>
+</td>
+</tr>
+<tr id="mrs_01_1843__row170682511162"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1843__p403511041162">oozie_db_temp.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1843__p472139771162">Oozie database connection log</p>
+</td>
+</tr>
+<tr id="mrs_01_1843__en-us_topic_0046736744_row45597336"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1843__en-us_topic_0046736744_p2396739">oozie-instrumentation.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1843__p17148105133314">Oozie dashboard log file, which records the Oozie running status and configuration information of each component</p>
+</td>
+</tr>
+<tr id="mrs_01_1843__en-us_topic_0046736744_row2392405"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1843__en-us_topic_0046736744_p59567086">oozie-jpa.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1843__en-us_topic_0046736744_p60204623">openJPa run log file</p>
+</td>
+</tr>
+<tr id="mrs_01_1843__en-us_topic_0046736744_row4970698"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1843__en-us_topic_0046736744_p67082283">oozie.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1843__en-us_topic_0046736744_p64955881">Oozie run log file</p>
+</td>
+</tr>
+<tr id="mrs_01_1843__en-us_topic_0046736744_row47732022"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1843__en-us_topic_0046736744_p41088586">oozie-&lt;SSH_USER&gt;-&lt;DATE&gt;-&lt;PID&gt;-gc.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1843__en-us_topic_0046736744_p39841133">Log file that records the garbage collection of the Oozie service</p>
+</td>
+</tr>
+<tr id="mrs_01_1843__row2674096111534"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1843__p2487976311534">oozie-ops.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1843__p199493111534">Oozie operation log file</p>
+</td>
+</tr>
+<tr id="mrs_01_1843__row125632059153116"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1843__p135631459163119">check-serviceDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1843__p175648599314">Oozie health check logs</p>
+</td>
+</tr>
+<tr id="mrs_01_1843__row1699920307429"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1843__p1601831174217">oozie-error.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1843__p9018316428">Oozie running error logs</p>
+</td>
+</tr>
+<tr id="mrs_01_1843__row134591266391"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1843__p14459156143919">threadDump-&lt;DATE&gt;.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1843__p114597663911">Log file that records stack information when the service process exits normally</p>
+</td>
+</tr>
+<tr id="mrs_01_1843__en-us_topic_0046736744_row23025885"><td class="cellrowborder" rowspan="5" valign="top" width="13.270000000000001%" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1843__en-us_topic_0046736744_p53157405">Script logs</p>
+<p id="mrs_01_1843__p3236768711633"></p>
+</td>
+<td class="cellrowborder" valign="top" width="34.69%" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1843__en-us_topic_0046736744_p10782529">postinstallDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="52.04%" headers="mcps1.3.1.6.2.4.1.3 "><p id="mrs_01_1843__en-us_topic_0046736744_p969650">Work log file generated after the installation and before the startup</p>
+</td>
+</tr>
+<tr id="mrs_01_1843__en-us_topic_0046736744_row8726850"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1843__en-us_topic_0046736744_p35786256">prestartDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1843__en-us_topic_0046736744_p13005663">Pre-startup log file</p>
+</td>
+</tr>
+<tr id="mrs_01_1843__en-us_topic_0046736744_row49942111"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1843__en-us_topic_0046736744_p18779153">startDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1843__en-us_topic_0046736744_p44716440">Service startup log file</p>
+</td>
+</tr>
+<tr id="mrs_01_1843__en-us_topic_0046736744_row66903647"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1843__en-us_topic_0046736744_p50486336">stopDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1843__en-us_topic_0046736744_p62861417">Service stop log file</p>
+</td>
+</tr>
+<tr id="mrs_01_1843__row6336594211633"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1843__p453699211633">upload-sharelib.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1843__p3195210611633">Operation logs uploaded by <strong id="mrs_01_1843__b30925043011318">sharelib</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_1843__en-us_topic_0046736744_row28881849"><td class="cellrowborder" valign="top" width="13.270000000000001%" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1843__en-us_topic_0046736744_p57728418">Audit log</p>
+</td>
+<td class="cellrowborder" valign="top" width="34.69%" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1843__en-us_topic_0046736744_p45490280">oozie-audit.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="52.04%" headers="mcps1.3.1.6.2.4.1.3 "><p id="mrs_01_1843__en-us_topic_0046736744_p60834034">Audit log</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1843__section2614112035718"><h4 class="sectiontitle">Log Level</h4><p id="mrs_01_1843__en-us_topic_0046736744_p28609704"><a href="#mrs_01_1843__tf6a4761259f54fb3b310d3e79035d06a">Table 2</a> describes the log levels provided by Oozie.</p>
+<p id="mrs_01_1843__en-us_topic_0046736744_p35684724">The priorities of log levels are ERROR, WARN, INFO, and DEBUG in descending order. Logs whose levels are higher than or equal to the set level are printed. The number of printed logs decreases as the configured log level increases.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1843__tf6a4761259f54fb3b310d3e79035d06a"></a><a name="tf6a4761259f54fb3b310d3e79035d06a"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1843__tf6a4761259f54fb3b310d3e79035d06a" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Log levels</caption><thead align="left"><tr id="mrs_01_1843__en-us_topic_0046736744_row15788005"><th align="left" class="cellrowborder" valign="top" width="31.31%" id="mcps1.3.2.4.2.3.1.1"><p id="mrs_01_1843__en-us_topic_0046736744_p3759995"><strong id="mrs_01_1843__en-us_topic_0046736744_b33839959">Level</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="68.69%" id="mcps1.3.2.4.2.3.1.2"><p id="mrs_01_1843__en-us_topic_0046736744_p56682149"><strong id="mrs_01_1843__en-us_topic_0046736744_b40377297">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1843__en-us_topic_0046736744_row49335649"><td class="cellrowborder" valign="top" width="31.31%" headers="mcps1.3.2.4.2.3.1.1 "><p id="mrs_01_1843__en-us_topic_0046736744_p36764650">ERROR</p>
+</td>
+<td class="cellrowborder" valign="top" width="68.69%" headers="mcps1.3.2.4.2.3.1.2 "><p id="mrs_01_1843__en-us_topic_0046736744_p25146643">Logs of this level record abnormal information about events that cause process exceptions.</p>
+</td>
+</tr>
+<tr id="mrs_01_1843__en-us_topic_0046736744_row24993195"><td class="cellrowborder" valign="top" width="31.31%" headers="mcps1.3.2.4.2.3.1.1 "><p id="mrs_01_1843__en-us_topic_0046736744_p11182887">WARN</p>
+</td>
+<td class="cellrowborder" valign="top" width="68.69%" headers="mcps1.3.2.4.2.3.1.2 "><p id="mrs_01_1843__en-us_topic_0046736744_p33398680">Logs of this level record exception information about the current event processing.</p>
+</td>
+</tr>
+<tr id="mrs_01_1843__en-us_topic_0046736744_row32152672"><td class="cellrowborder" valign="top" width="31.31%" headers="mcps1.3.2.4.2.3.1.1 "><p id="mrs_01_1843__en-us_topic_0046736744_p54229659">INFO</p>
+</td>
+<td class="cellrowborder" valign="top" width="68.69%" headers="mcps1.3.2.4.2.3.1.2 "><p id="mrs_01_1843__en-us_topic_0046736744_p30526271">Logs of this level record normal running status information about the system and events.</p>
+</td>
+</tr>
+<tr id="mrs_01_1843__en-us_topic_0046736744_row6300983"><td class="cellrowborder" valign="top" width="31.31%" headers="mcps1.3.2.4.2.3.1.1 "><p id="mrs_01_1843__en-us_topic_0046736744_p40617610">DEBUG</p>
+</td>
+<td class="cellrowborder" valign="top" width="68.69%" headers="mcps1.3.2.4.2.3.1.2 "><p id="mrs_01_1843__en-us_topic_0046736744_p1692122">Logs of this level record system information and information about database underlying data transmission.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1843__en-us_topic_0046736744_p15229100">To modify log levels, perform the following operations:</p>
+<ol id="mrs_01_1843__en-us_topic_0046736744_ol2844174"><li id="mrs_01_1843__en-us_topic_0046736744_li25597569"><span>Log in to FusionInsight Manager.</span></li><li id="mrs_01_1843__en-us_topic_0046736744_li29051535"><span>Choose <strong id="mrs_01_1843__b127451722711318">Cluster</strong> &gt; <em id="mrs_01_1843__i209657938211318">Name of the desired cluster</em> &gt; <strong id="mrs_01_1843__b88598132711318">Services</strong> &gt; <strong id="mrs_01_1843__b117651370311318">Oozie</strong> &gt; <strong id="mrs_01_1843__b83202720611318">Configurations</strong>.</span></li><li id="mrs_01_1843__en-us_topic_0046736744_li60137223"><span>Select <strong id="mrs_01_1843__b27690637911318">All Configurations</strong>.</span></li><li id="mrs_01_1843__en-us_topic_0046736744_li4364100"><span>On the menu bar on the left, select the log menu of the target role.</span></li><li id="mrs_01_1843__en-us_topic_0046736744_li39276901"><span>Select a desired log level.</span></li><li id="mrs_01_1843__en-us_topic_0046736744_li17947797"><span>Click <strong id="mrs_01_1843__b207196775011318">Save</strong>, and then click <strong id="mrs_01_1843__b32445218811318">OK</strong>. The settings take effect after the processing is complete.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_1843__s394620af4dd94e75892815945e45a4b2"><h4 class="sectiontitle">Log Formats</h4><p id="mrs_01_1843__en-us_topic_0046736744_p44485484">The following table lists the Oozie log formats.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1843__en-us_topic_0046736744_table64825036" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Log formats</caption><thead align="left"><tr id="mrs_01_1843__en-us_topic_0046736744_row34023825"><th align="left" class="cellrowborder" valign="top" width="13.270000000000001%" id="mcps1.3.3.3.2.4.1.1"><p id="mrs_01_1843__en-us_topic_0046736744_p4466454"><strong id="mrs_01_1843__en-us_topic_0046736744_b40198088">Log Type</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="34.69%" id="mcps1.3.3.3.2.4.1.2"><p id="mrs_01_1843__en-us_topic_0046736744_p34819723"><strong id="mrs_01_1843__en-us_topic_0046736744_b44942053">Format</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="52.04%" id="mcps1.3.3.3.2.4.1.3"><p id="mrs_01_1843__en-us_topic_0046736744_p16427647"><strong id="mrs_01_1843__en-us_topic_0046736744_b13631097">Example</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1843__en-us_topic_0046736744_row30377077"><td class="cellrowborder" valign="top" width="13.270000000000001%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1843__en-us_topic_0046736744_p44624169">Run log</p>
+</td>
+<td class="cellrowborder" valign="top" width="34.69%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1843__en-us_topic_0046736744_p57787966"><em id="mrs_01_1843__i209769858311318">&lt;yyyy-MM-dd HH:mm:ss,SSS&gt;&lt;Log level&gt;&lt;Location where the log event occurs&gt;&lt;Log level&gt;&lt;Message in the log&gt;</em></p>
+</td>
+<td class="cellrowborder" valign="top" width="52.04%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1843__en-us_topic_0046736744_p50313692">2015-05-29 21:01:45,268 INFO StatusTransitService$StatusTransitRunnable:539 - USER[-] GROUP[-] Released lock for [org.apache.oozie.service.StatusTransitService]</p>
+</td>
+</tr>
+<tr id="mrs_01_1843__en-us_topic_0046736744_row50170045"><td class="cellrowborder" valign="top" width="13.270000000000001%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1843__en-us_topic_0046736744_p37241850">Script logs</p>
+</td>
+<td class="cellrowborder" valign="top" width="34.69%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1843__en-us_topic_0046736744_p63799892"><em id="mrs_01_1843__i202930225311318">&lt;yyyy-MM-dd HH:mm:ss,SSS&gt;&lt;Host name &gt; &lt;Log level &gt; &lt;Message in the log&gt;</em></p>
+</td>
+<td class="cellrowborder" valign="top" width="52.04%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1843__en-us_topic_0046736744_p408754">2015-06-01 17:18:03 001 suse11-192-168-0-111 oozie INFO Running oozie service check script</p>
+</td>
+</tr>
+<tr id="mrs_01_1843__en-us_topic_0046736744_row3678790"><td class="cellrowborder" valign="top" width="13.270000000000001%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1843__en-us_topic_0046736744_p29546598">Audit log</p>
+</td>
+<td class="cellrowborder" valign="top" width="34.69%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1843__en-us_topic_0046736744_p44464255"><em id="mrs_01_1843__i29622624411318">&lt;yyyy-MM-dd HH:mm:ss,SSS&gt;|&lt;Log Level&gt;|&lt; Thread name | | Message in the log | Location where the log event occurs</em></p>
+</td>
+<td class="cellrowborder" valign="top" width="52.04%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1843__en-us_topic_0046736744_p44834872">2015-06-01 22:38:41,323 | INFO | http-bio-21003-exec-8 | IP [192.168.0.111] USER  [null], GROUP [null], APP [null], JOBID [null], OPERATION [null], PARAMETER  [null], RESULT [SUCCESS], HTTPCODE [200], ERRORCODE [null], ERRORMESSAGE [null]   | org.apache.oozie.util.XLog.log(XLog.java:539)</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1807.html">Using Oozie</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1844.html b/docs/mrs/component-operation-guide/mrs_01_1844.html
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+<a name="mrs_01_1844"></a><a name="mrs_01_1844"></a>
+
+<h1 class="topictitle1">Common Issues About Oozie</h1>
+<div id="body1596098832003"><p id="mrs_01_1844__p8060118"></p>
+</div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1846.html">Oozie Scheduled Tasks Are Not Executed on Time</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1847.html">Why Update of the share lib Directory of Oozie on HDFS Does Not Take Effect?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24479.html">Common Oozie Troubleshooting Methods</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1807.html">Using Oozie</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1846.html b/docs/mrs/component-operation-guide/mrs_01_1846.html
new file mode 100644
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@@ -0,0 +1,14 @@
+<a name="mrs_01_1846"></a><a name="mrs_01_1846"></a>
+
+<h1 class="topictitle1">Oozie Scheduled Tasks Are Not Executed on Time</h1>
+<div id="body1596098832007"><div class="section" id="mrs_01_1846__se883a479aecd4b4896893e27e83df875"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1846__ad4694472ce634e738e5d30b59aa9029d">Why are not Coordinator scheduled jobs executed on time on the Hue or Oozie client?</p>
+</div>
+<div class="section" id="mrs_01_1846__sfb91ec5cc3004147abc8ec12d9ebeddc"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1846__afdea4602446b41a8a019c36af3f04a29">Use UTC time. For example, set <strong id="mrs_01_1846__a8bd86c21140443dba2dc22e1b8b7fce1">start</strong><strong id="mrs_01_1846__en-us_topic_0116216762_b15958377385">=</strong><strong id="mrs_01_1846__afc2fc393ae50462baf73c3b0ad2ff8c5">2016-12-20T09:00Z</strong> in <strong id="mrs_01_1846__a2c8be8f44c9a4730913f3a3f1d9b1cbb">job.properties</strong> file.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1844.html">Common Issues About Oozie</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1847.html b/docs/mrs/component-operation-guide/mrs_01_1847.html
new file mode 100644
index 000000000..e06f8498d
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@@ -0,0 +1,15 @@
+<a name="mrs_01_1847"></a><a name="mrs_01_1847"></a>
+
+<h1 class="topictitle1">Why Update of the share lib Directory of Oozie on HDFS Does Not Take Effect?</h1>
+<div id="body1596098832008"><div class="section" id="mrs_01_1847__sc6e51561ffc748ebb9ad93636a98e6de"><h4 class="sectiontitle">Symptom</h4><p id="mrs_01_1847__a091e9eab7e914e63847febbd926d3224">A new JAR package is uploaded to the <span class="filepath" id="mrs_01_1847__f84cd89117eab4a6f9bcec99fcf1b4c4b"><b>/user/oozie/share/lib</b></span> directory on HDFS. However, an error indicating that the class cannot be found is reported during task execution.</p>
+</div>
+<div class="section" id="mrs_01_1847__s5dcc981b9b1d419685fff2f9967ec8a3"><h4 class="sectiontitle">Solution</h4><p id="mrs_01_1847__p85621646887">Run the following command on the client to refresh the directory:</p>
+<p id="mrs_01_1847__p1470715241204"><b><span class="cmdname" id="mrs_01_1847__cmdname47198214377">oozie admin -oozie https://xxx.xxx.xxx.xxx:21003/oozie -sharelibupdate</span></b></p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1844.html">Common Issues About Oozie</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1849.html b/docs/mrs/component-operation-guide/mrs_01_1849.html
new file mode 100644
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+<a name="mrs_01_1849"></a><a name="mrs_01_1849"></a>
+
+<h1 class="topictitle1">Using Ranger (MRS 3.<em id="i8111193665212">x</em>)</h1>
+<div id="body1595917957047"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1850.html">Logging In to the Ranger Web UI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2393.html">Enabling Ranger Authentication</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1851.html">Configuring Component Permission Policies</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1852.html">Viewing Ranger Audit Information</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1853.html">Configuring a Security Zone</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2394.html">Changing the Ranger Data Source to LDAP for a Normal Cluster</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1854.html">Viewing Ranger Permission Information</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1856.html">Adding a Ranger Access Permission Policy for HDFS</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1857.html">Adding a Ranger Access Permission Policy for HBase</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1858.html">Adding a Ranger Access Permission Policy for Hive</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1859.html">Adding a Ranger Access Permission Policy for Yarn</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1860.html">Adding a Ranger Access Permission Policy for Spark2x</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1861.html">Adding a Ranger Access Permission Policy for Kafka</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1863.html">Adding a Ranger Access Permission Policy for Storm</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1865.html">Ranger Log Overview</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1866.html">Common Issues About Ranger</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1850.html b/docs/mrs/component-operation-guide/mrs_01_1850.html
new file mode 100644
index 000000000..9b2739b5c
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+<a name="mrs_01_1850"></a><a name="mrs_01_1850"></a>
+
+<h1 class="topictitle1">Logging In to the Ranger Web UI</h1>
+<div id="body1595917958225"><p id="mrs_01_1850__p183452684620">Ranger provides a centralized permission management framework to implement fine-grained permission control on components such as HDFS, HBase, Hive, and Yarn. In addition, Ranger also provides a web UI for <span id="mrs_01_1850__ph163601544185617">system </span>administrators to perform operations.</p>
+<div class="section" id="mrs_01_1850__section2695135412818"><a name="mrs_01_1850__section2695135412818"></a><a name="section2695135412818"></a><h4 class="sectiontitle">Ranger User Type</h4><p id="mrs_01_1850__p9588362911">Ranger users are classified into <strong id="mrs_01_1850__b1669214103433">admin</strong>, <strong id="mrs_01_1850__b20102161314433">user</strong>, and <strong id="mrs_01_1850__b132148173436">auditor</strong>. Different users have different permissions to view and operate the Ranger management interface.</p>
+<ul id="mrs_01_1850__ul485517183718"><li id="mrs_01_1850__li15855973379"><strong id="mrs_01_1850__b9586916194419">Admin</strong>: A security administrator can view all page content, manage permission management plug-ins and access control policies, view audit information, and set user types.</li><li id="mrs_01_1850__li13187122714370"><strong id="mrs_01_1850__b126661242810">Auditor</strong>: An audit administrator can view the permission management plug-ins and access control policies.</li><li id="mrs_01_1850__li6955193915377"><strong id="mrs_01_1850__b1871914212398">User</strong>: A common user who can be assigned with specific permissions by the <span id="mrs_01_1850__ph1576015175711">system </span>administrator.</li></ul>
+</div>
+<div class="section" id="mrs_01_1850__section284610578508"><h4 class="sectiontitle">Logging In to the Ranger Web UI</h4><p id="mrs_01_1850__p0872819434">Security mode (Kerberos authentication is enabled for clusters)</p>
+<ol id="mrs_01_1850__ol195993645114"><li id="mrs_01_1850__li2059919610510"><span>Log in to FusionInsight Manager as user <strong id="mrs_01_1850__b1488722872617">admin</strong>. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. Choose <strong id="mrs_01_1850__b15761185218495">Cluster</strong> &gt; <strong id="mrs_01_1850__b167611552124912">Services</strong> &gt; <strong id="mrs_01_1850__b1276155244912">Ranger</strong>. The Ranger service overview page is displayed.</span></li><li id="mrs_01_1850__li1749563911520"><span>Click <strong id="mrs_01_1850__b1659217215509">RangerAdmin</strong> in the <strong id="mrs_01_1850__b12597429508">Basic Information</strong> area. The Ranger web UI is displayed.</span><p><ul id="mrs_01_1850__ul1791111587121"><li id="mrs_01_1850__li5910958161211">The <strong id="mrs_01_1850__b1799972051718">admin</strong> user in Ranger belongs to the <strong id="mrs_01_1850__b579642871711">User</strong> type and can only view the <strong id="mrs_01_1850__b9876163916188">Access Manager</strong> as well as <strong id="mrs_01_1850__b13404134371817">Security Zone</strong> pages.</li><li id="mrs_01_1850__li139111858161212">To view all management pages, switch to user <strong id="mrs_01_1850__b1017312713197">rangeradmin</strong> or other users who have the Ranger administrator permissions.<ol type="a" id="mrs_01_1850__ol19111358171218"><li id="mrs_01_1850__li1291025861219">On the Ranger WebUI, click the user name in the upper right corner and choose <strong id="mrs_01_1850__b14550164842214">Log Out</strong> to log out of the Ranger WebUI.<p id="mrs_01_1850__p186317534448"><span><img id="mrs_01_1850__image28931136154414" src="en-us_image_0000001389336372.png"></span></p>
+</li><li id="mrs_01_1850__li89111658111213">Log in to the system as user <strong id="mrs_01_1850__b13765854132311">rangeradmin</strong> (default password: <strong id="mrs_01_1850__b1129116112418">Rangeradmin@123</strong>) or another user who has the Ranger administrator permissions. </li></ol>
+</li></ul>
+</p></li></ol>
+<p id="mrs_01_1850__p16501171664616">Normal mode (Kerberos authentication is disabled for clusters)</p>
+<ol id="mrs_01_1850__ol28071922154614"><li id="mrs_01_1850__li81232025134612"><span>Log in to FusionInsight Manager as user <strong id="mrs_01_1850__b11941761515">admin</strong>. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. Choose <strong id="mrs_01_1850__b17151117151510">Cluster</strong> &gt; <strong id="mrs_01_1850__b1516717161515">Services</strong> &gt; <strong id="mrs_01_1850__b0160173157">Ranger</strong>. The Ranger service overview page is displayed.</span></li><li id="mrs_01_1850__li693417355463"><span>Click <strong id="mrs_01_1850__b189551861518">RangerAdmin</strong> in the <strong id="mrs_01_1850__b20896118171514">Basic Information</strong> area. The Ranger web UI is displayed.</span><p><p id="mrs_01_1850__p7859354134510">The <strong id="mrs_01_1850__b10296714103111">admin</strong> user in Ranger belongs to the <strong id="mrs_01_1850__b1480632112311">Admin</strong> type and can view all management pages of Ranger without switching to user <strong id="mrs_01_1850__b1285965416452">rangeradmin</strong>.</p>
+<div class="note" id="mrs_01_1850__note138591754184517"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1850__p585919547452">When a user logs in to the Ranger WebUI as user <strong id="mrs_01_1850__b456993330">rangeradmin</strong> in normal mode, error 401 is reported.</p>
+</div></div>
+</p></li></ol>
+<div class="p" id="mrs_01_1850__p845854620442">On the homepage of Ranger web UI, you can view the permission management plug-ins of the services integrated in Ranger. The plug-ins can be used to set more fine-grained permissions. For details about functions of main operations you can perform on the page, see <a href="#mrs_01_1850__t2e8dff27d0214c0885ce9fa207af6953">Table 1</a>.
+<div class="tablenoborder"><a name="mrs_01_1850__t2e8dff27d0214c0885ce9fa207af6953"></a><a name="t2e8dff27d0214c0885ce9fa207af6953"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1850__t2e8dff27d0214c0885ce9fa207af6953" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Functions of each operation portal on the Ranger page</caption><thead align="left"><tr id="mrs_01_1850__en-us_topic_0046736886_row34076345"><th align="left" class="cellrowborder" valign="top" width="24.240000000000002%" id="mcps1.3.3.6.2.2.3.1.1"><p id="mrs_01_1850__en-us_topic_0046736886_p8720581">Portal</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="75.76%" id="mcps1.3.3.6.2.2.3.1.2"><p id="mrs_01_1850__en-us_topic_0046736886_p35278494">Function</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1850__en-us_topic_0046736886_row38985771"><td class="cellrowborder" valign="top" width="24.240000000000002%" headers="mcps1.3.3.6.2.2.3.1.1 "><p id="mrs_01_1850__en-us_topic_0046736886_p3730901">Access Manager</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.76%" headers="mcps1.3.3.6.2.2.3.1.2 "><p id="mrs_01_1850__p9581194614241">You can view the permission management plug-ins of each service integrated in Ranger. The plug-ins can be used to set more fine-grained permissions. For details, see <a href="mrs_01_1851.html">Configuring Component Permission Policies</a>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1850__en-us_topic_0046736886_row50817438"><td class="cellrowborder" valign="top" width="24.240000000000002%" headers="mcps1.3.3.6.2.2.3.1.1 "><p id="mrs_01_1850__en-us_topic_0046736886_p22571789">Audit</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.76%" headers="mcps1.3.3.6.2.2.3.1.2 "><p id="mrs_01_1850__p185810468246">You can view the audit logs related to Ranger running and permission control. For details, see <a href="mrs_01_1852.html">Viewing Ranger Audit Information</a>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1850__en-us_topic_0046736886_row59550034"><td class="cellrowborder" valign="top" width="24.240000000000002%" headers="mcps1.3.3.6.2.2.3.1.1 "><p id="mrs_01_1850__en-us_topic_0046736886_p58823444">Security Zone</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.76%" headers="mcps1.3.3.6.2.2.3.1.2 "><p id="mrs_01_1850__p15580144652418"><span id="mrs_01_1850__ph1179917380588">System </span><span id="mrs_01_1850__ph1768784314585">a</span>dministrators can divide resources of each component into multiple security zones where different administrators set security policies for specified resources of services to facilitate management. For details, see <a href="mrs_01_1853.html">Configuring a Security Zone</a>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1850__en-us_topic_0046736886_row44981334"><td class="cellrowborder" valign="top" width="24.240000000000002%" headers="mcps1.3.3.6.2.2.3.1.1 "><p id="mrs_01_1850__en-us_topic_0046736886_p19609461">Settings</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.76%" headers="mcps1.3.3.6.2.2.3.1.2 "><p id="mrs_01_1850__p19561184611243">You can view Ranger permission settings, such as users, user groups, and roles. For details, see <a href="mrs_01_1854.html">Viewing Ranger Permission Information</a>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1849.html">Using Ranger (MRS 3.x)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1851.html b/docs/mrs/component-operation-guide/mrs_01_1851.html
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+<a name="mrs_01_1851"></a><a name="mrs_01_1851"></a>
+
+<h1 class="topictitle1">Configuring Component Permission Policies</h1>
+<div id="body1595917958998"><p id="mrs_01_1851__p1380014224018">In the newly installed <span id="mrs_01_1851__text923114306417">MRS</span> cluster, Ranger is installed by default, with the Ranger authentication model enabled. The <span id="mrs_01_1851__ph831843855913">system </span>administrator can set fine-grained security policies for accessing component resources through the component permission plug-ins.</p>
+<p id="mrs_01_1851__p155849124316">Currently, the following components in a cluster in security mode support Ranger: <span id="mrs_01_1851__text86481746134415">HDFS, Yarn, HBase, Hive, Spark2x, Kafka, Storm.</span>.</p>
+<div class="section" id="mrs_01_1851__section342011207398"><h4 class="sectiontitle">Configuring User Permission Policies Using Ranger</h4><ol id="mrs_01_1851__ol18441518103215"><li id="mrs_01_1851__li58441318173210"><span>Log in to the Ranger management page as the <span id="mrs_01_1851__ph4543922605">system </span>administrator.</span></li><li id="mrs_01_1851__li57185284516"><span>In the <strong id="mrs_01_1851__b02711523165213">Service Manager</strong> area on the Ranger homepage, click the permission plug-in name of a component. The page for security access policy list of the component is displayed.</span><p><div class="note" id="mrs_01_1851__note3665101145213"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1851__p146661117522">In the policy list of each component, many items are generated by default to ensure the permissions of some default users or user groups (such as the <strong id="mrs_01_1851__b147421437195217">supergroup</strong> user group). Do not delete these items. Otherwise, the permissions of the default users or user groups are affected.</p>
+</div></div>
+</p></li><li id="mrs_01_1851__li15584102711513"><span>Click <strong id="mrs_01_1851__b56992441893">Add New Policy</strong> and configure resource access policies for related users or user groups based on the service scenario plan.</span><p><p id="mrs_01_1851__p050313465117">The following policies are examples for different components:</p>
+<ul id="mrs_01_1851__ul79191810821"><li id="mrs_01_1851__li236015315414"><a href="mrs_01_1856.html">Adding a Ranger Access Permission Policy for HDFS</a></li><li id="mrs_01_1851__li99173811556"><a href="mrs_01_1857.html">Adding a Ranger Access Permission Policy for HBase</a></li><li id="mrs_01_1851__li2151131218553"><a href="mrs_01_1858.html">Adding a Ranger Access Permission Policy for Hive</a></li><li id="mrs_01_1851__li128531014195510"><a href="mrs_01_1859.html">Adding a Ranger Access Permission Policy for Yarn</a></li><li id="mrs_01_1851__li253818180552"><a href="mrs_01_1860.html">Adding a Ranger Access Permission Policy for Spark2x</a></li><li id="mrs_01_1851__li17240822105516"><a href="mrs_01_1861.html">Adding a Ranger Access Permission Policy for Kafka</a></li><li id="mrs_01_1851__li7177173065517"><a href="mrs_01_1863.html">Adding a Ranger Access Permission Policy for Storm</a></li></ul>
+<p id="mrs_01_1851__p786310493212">After the policies are added, wait for about 30 seconds for them to take effect.</p>
+<div class="note" id="mrs_01_1851__note97312517522"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1851__p419220362529">Each time a component is started, the system checks whether the default Ranger service of the component exists. If the service does not exist, the system creates the Ranger service and adds a default policy for it. If a service is deleted by mistake, you can restart or restart the corresponding component service in rolling mode to restore the service. If the default policy is deleted by mistake, you can manually delete the service and then restart the component service.</p>
+</div></div>
+</p></li><li id="mrs_01_1851__li18491027191020"><span>Choose <strong id="mrs_01_1851__b15877103211123">Access Manager</strong> &gt; <strong id="mrs_01_1851__b787823211122">Reports</strong> to view all security access policies of each component.</span><p><p id="mrs_01_1851__p1316611388101">If there are many system policies, filter and search for policies by the policy name, policy type, component, resource, policy label, security zone, user, or user group. Alternatively, click <strong id="mrs_01_1851__b744193511214">Export</strong> to export related policies.</p>
+<p id="mrs_01_1851__p1589604124310"><span><img id="mrs_01_1851__image3896749439" src="en-us_image_0000001348770113.png"></span></p>
+<div class="note" id="mrs_01_1851__note15336133773920"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1851__ul1741072424212"><li id="mrs_01_1851__li174105247428">Generally, only one policy can be configured for a fixed resource object. If multiple policies are configured for the same resource object, the policies cannot be saved.</li><li id="mrs_01_1851__li13433425154211">For details about the priorities of different policies, see <a href="#mrs_01_1851__section2381255446">Condition Priorities of the Ranger Permission Policy</a>.</li></ul>
+</div></div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_1851__section2381255446"><a name="mrs_01_1851__section2381255446"></a><a name="section2381255446"></a><h4 class="sectiontitle">Condition Priorities of the Ranger Permission Policy</h4><p id="mrs_01_1851__p1374519251448">When configuring a permission policy for a resource, you can configure Allow Conditions, Exclude from Allow Conditions, Deny Conditions, and Exclude from Deny Conditions for the resource, to meet unexpected requirements in different scenarios.</p>
+<p id="mrs_01_1851__p18450652173817">The priorities of different conditions are listed in descending order: Exclude from Deny Conditions &gt; Deny Conditions &gt; Exclude from Allow Conditions &gt; Allow Conditions</p>
+<p id="mrs_01_1851__p1350585152418">The following figure shows the process of determining condition priorities. If the component resource request does not match the permission policy in Ranger, the system rejects the access by default. However, for HDFS and Yarn, the system delivers the decision to the access control layer of the component for determination.</p>
+<p id="mrs_01_1851__p6252113182417"><span><img id="mrs_01_1851__image1875843317387" src="en-us_image_0000001296249724.png"></span></p>
+<p id="mrs_01_1851__p966817319207">For example, if you want to grant the read and write permissions of the <strong id="mrs_01_1851__b154912581143">FileA</strong> folder to the <strong id="mrs_01_1851__b84975589148">groupA</strong> user group, but the user in the group is not <strong id="mrs_01_1851__b5497155819143">UserA</strong>, you can add an allowed condition and an exception condition.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1849.html">Using Ranger (MRS 3.x)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1852.html b/docs/mrs/component-operation-guide/mrs_01_1852.html
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+<a name="mrs_01_1852"></a><a name="mrs_01_1852"></a>
+
+<h1 class="topictitle1">Viewing Ranger Audit Information</h1>
+<div id="body1595917959000"><p id="mrs_01_1852__p155849124316">The <span id="mrs_01_1852__ph1781345417015">system </span>administrator can view audit logs of the Ranger running and the permission control after Ranger authentication is enabled on the Ranger web UI.</p>
+<div class="section" id="mrs_01_1852__section171618505315"><h4 class="sectiontitle">Viewing Ranger Audit Information</h4><ol id="mrs_01_1852__ol5161650335"><li id="mrs_01_1852__li58441318173210"><span>Log in to the Ranger management page.</span></li><li id="mrs_01_1852__li8509191113127"><span>Click <span class="wintitle" id="mrs_01_1852__wintitle13958330121216"><b>Audit</b></span> to view the audit information. For details about the content on each tab page, see <a href="#mrs_01_1852__table774316265137">Table 1</a>. If there are a large number of items, click the search box and filter the items based on the keyword field.</span><p>
+<div class="tablenoborder"><a name="mrs_01_1852__table774316265137"></a><a name="table774316265137"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1852__table774316265137" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Audit information</caption><thead align="left"><tr id="mrs_01_1852__row2743162641313"><th align="left" class="cellrowborder" valign="top" width="16.48%" id="mcps1.3.2.2.2.2.1.2.3.1.1"><p id="mrs_01_1852__en-us_topic_0046736886_p8720581">Tab</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="83.52000000000001%" id="mcps1.3.2.2.2.2.1.2.3.1.2"><p id="mrs_01_1852__en-us_topic_0046736886_p35278494">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1852__row37431626121314"><td class="cellrowborder" valign="top" width="16.48%" headers="mcps1.3.2.2.2.2.1.2.3.1.1 "><p id="mrs_01_1852__p137436268138">Access</p>
+</td>
+<td class="cellrowborder" valign="top" width="83.52000000000001%" headers="mcps1.3.2.2.2.2.1.2.3.1.2 "><p id="mrs_01_1852__p1674315263136">Records audit information about users' access to component resources through Ranger authentication.</p>
+</td>
+</tr>
+<tr id="mrs_01_1852__row10744202615132"><td class="cellrowborder" valign="top" width="16.48%" headers="mcps1.3.2.2.2.2.1.2.3.1.1 "><p id="mrs_01_1852__p2074413265131">Admin</p>
+</td>
+<td class="cellrowborder" valign="top" width="83.52000000000001%" headers="mcps1.3.2.2.2.2.1.2.3.1.2 "><p id="mrs_01_1852__p1674413267135">Records operation audit information on Ranger, such as the creation, update, and deletion of security access policies, component permission policies, and roles.</p>
+</td>
+</tr>
+<tr id="mrs_01_1852__row16744182621317"><td class="cellrowborder" valign="top" width="16.48%" headers="mcps1.3.2.2.2.2.1.2.3.1.1 "><p id="mrs_01_1852__p12744726171317">Login Sessions</p>
+</td>
+<td class="cellrowborder" valign="top" width="83.52000000000001%" headers="mcps1.3.2.2.2.2.1.2.3.1.2 "><p id="mrs_01_1852__p5744426161314">Records session audit information for users who have logged in to Ranger.</p>
+</td>
+</tr>
+<tr id="mrs_01_1852__row16744192671319"><td class="cellrowborder" valign="top" width="16.48%" headers="mcps1.3.2.2.2.2.1.2.3.1.1 "><p id="mrs_01_1852__p3744126101318">Plugins</p>
+</td>
+<td class="cellrowborder" valign="top" width="83.52000000000001%" headers="mcps1.3.2.2.2.2.1.2.3.1.2 "><p id="mrs_01_1852__p18744132691315">Records permission policy information of components in Ranger.</p>
+</td>
+</tr>
+<tr id="mrs_01_1852__row1374442641317"><td class="cellrowborder" valign="top" width="16.48%" headers="mcps1.3.2.2.2.2.1.2.3.1.1 "><p id="mrs_01_1852__p17744926161320">Plugin Status</p>
+</td>
+<td class="cellrowborder" valign="top" width="83.52000000000001%" headers="mcps1.3.2.2.2.2.1.2.3.1.2 "><p id="mrs_01_1852__p147441926141314">Records audit information about permission policies of each component node.</p>
+</td>
+</tr>
+<tr id="mrs_01_1852__row17117204812143"><td class="cellrowborder" valign="top" width="16.48%" headers="mcps1.3.2.2.2.2.1.2.3.1.1 "><p id="mrs_01_1852__p6117648201410">User Sync</p>
+</td>
+<td class="cellrowborder" valign="top" width="83.52000000000001%" headers="mcps1.3.2.2.2.2.1.2.3.1.2 "><p id="mrs_01_1852__p1117104811415">Records synchronized audit information of LDAP and Ranger users.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1849.html">Using Ranger (MRS 3.x)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1853.html b/docs/mrs/component-operation-guide/mrs_01_1853.html
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+<a name="mrs_01_1853"></a><a name="mrs_01_1853"></a>
+
+<h1 class="topictitle1">Configuring a Security Zone</h1>
+<div id="body1595917959387"><p id="mrs_01_1853__p8060118">Security zone can be configured using Ranger. <span id="mrs_01_1853__ph1166323512019">Ranger</span><span id="mrs_01_1853__ph1234963615202"> </span><span id="mrs_01_1853__ph11283915204">a</span>dministrators can divide resources of each component into multiple security zones where administrators set security policies for specified resources in the zones to facilitate management. Policies defined in a security zone apply only to resources in the zone. After service resources are allocated to the security zone, the access permission policies for the resources in the non-security zone do not take effect. The administrator of a security zone can set policies only in the security zone that the administrator belongs to.</p>
+<div class="section" id="mrs_01_1853__section176431441438"><h4 class="sectiontitle">Adding a Security Zone</h4><ol id="mrs_01_1853__ol1287611964413"><li id="mrs_01_1853__li087613915442"><span>Log in to the Ranger management page as the Ranger administrator.</span></li><li id="mrs_01_1853__li687371014415"><span>Click <span class="wintitle" id="mrs_01_1853__wintitle13958330121216"><b>Security Zone</b></span>. On the zone list page, click <span><img id="mrs_01_1853__image864315138450" src="en-us_image_0000001349289401.png"></span> to add a zone.</span><p>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1853__table912612911478" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters for configuring a security zone</caption><thead align="left"><tr id="mrs_01_1853__row112614918477"><th align="left" class="cellrowborder" valign="top" width="20.23%" id="mcps1.3.2.2.2.2.1.2.4.1.1"><p id="mrs_01_1853__p1312669114711">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="66.45%" id="mcps1.3.2.2.2.2.1.2.4.1.2"><p id="mrs_01_1853__p1912619915474">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="13.320000000000002%" id="mcps1.3.2.2.2.2.1.2.4.1.3"><p id="mrs_01_1853__p295155416494">Example Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1853__row018862516475"><td class="cellrowborder" valign="top" width="20.23%" headers="mcps1.3.2.2.2.2.1.2.4.1.1 "><p id="mrs_01_1853__p1918862514719">Zone Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.45%" headers="mcps1.3.2.2.2.2.1.2.4.1.2 "><p id="mrs_01_1853__p018832584712">Security zone</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.320000000000002%" headers="mcps1.3.2.2.2.2.1.2.4.1.3 "><p id="mrs_01_1853__p1895116542497">test</p>
+</td>
+</tr>
+<tr id="mrs_01_1853__row2126693471"><td class="cellrowborder" valign="top" width="20.23%" headers="mcps1.3.2.2.2.2.1.2.4.1.1 "><p id="mrs_01_1853__p11264914712">Zone Description</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.45%" headers="mcps1.3.2.2.2.2.1.2.4.1.2 "><p id="mrs_01_1853__p112611910478">Description of the security zone</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.320000000000002%" headers="mcps1.3.2.2.2.2.1.2.4.1.3 "><p id="mrs_01_1853__p13951115494910">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1853__row11262934719"><td class="cellrowborder" valign="top" width="20.23%" headers="mcps1.3.2.2.2.2.1.2.4.1.1 "><p id="mrs_01_1853__p137066431479">Admin Users/Admin Usergroups</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.45%" headers="mcps1.3.2.2.2.2.1.2.4.1.2 "><p id="mrs_01_1853__p1088114234611">Management users and user groups in a security zone. You can add and modify permission policies for related resources in the security zone.</p>
+<p id="mrs_01_1853__p8126192477">At least one user or user group must be configured.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.320000000000002%" headers="mcps1.3.2.2.2.2.1.2.4.1.3 "><p id="mrs_01_1853__p19511543491">zone_admin</p>
+</td>
+</tr>
+<tr id="mrs_01_1853__row15482155634714"><td class="cellrowborder" valign="top" width="20.23%" headers="mcps1.3.2.2.2.2.1.2.4.1.1 "><p id="mrs_01_1853__p848275618475">Auditor Users/</p>
+<p id="mrs_01_1853__p20273171011486">Auditor Usergroups</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.45%" headers="mcps1.3.2.2.2.2.1.2.4.1.2 "><p id="mrs_01_1853__p148205674711">Audit users or user groups to be added. You can view the resource permission policies in the security zone.</p>
+<p id="mrs_01_1853__p19904124144812">At least one user or user group must be configured.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.320000000000002%" headers="mcps1.3.2.2.2.2.1.2.4.1.3 "><p id="mrs_01_1853__p149511654174917">zone_user</p>
+</td>
+</tr>
+<tr id="mrs_01_1853__row1662115544810"><td class="cellrowborder" valign="top" width="20.23%" headers="mcps1.3.2.2.2.2.1.2.4.1.1 "><p id="mrs_01_1853__p1529956154813">Select Tag Services</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.45%" headers="mcps1.3.2.2.2.2.1.2.4.1.2 "><p id="mrs_01_1853__p106215544810">Tag information of a service</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.320000000000002%" headers="mcps1.3.2.2.2.2.1.2.4.1.3 "><p id="mrs_01_1853__p17951105454914">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1853__row912615954711"><td class="cellrowborder" valign="top" width="20.23%" headers="mcps1.3.2.2.2.2.1.2.4.1.1 "><p id="mrs_01_1853__p1331836124919">Select Resource Services</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.45%" headers="mcps1.3.2.2.2.2.1.2.4.1.2 "><p id="mrs_01_1853__p9127169134715">Services and resources in a security zone.</p>
+<p id="mrs_01_1853__p13590113910555">After selecting a service, you need to add specific resource objects in the <strong id="mrs_01_1853__b19936173584611">Resource</strong> column, such as the file directories of the HDFS server, Yarn queues, Hive databases and tables, and HBase tables and columns.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.320000000000002%" headers="mcps1.3.2.2.2.2.1.2.4.1.3 "><p id="mrs_01_1853__p159511454204912">/testzone</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1853__p17692175871420">For example, to create a security zone for the<strong id="mrs_01_1853__b68158314470"> /testzone</strong> directory in HDFS, the configuration is as follows:</p>
+<p id="mrs_01_1853__p4932217150"><span><img id="mrs_01_1853__image199858242113" src="en-us_image_0000001349169825.png"></span></p>
+</p></li><li id="mrs_01_1853__li981513139599"><span>Click <strong id="mrs_01_1853__b59066874710">Save</strong> and wait until the security zone is added successfully.</span><p><p id="mrs_01_1853__p1129819595215">The Ranger administrator can view all security zones on the <strong id="mrs_01_1853__b947272184715">Security Zone</strong> page and click <strong id="mrs_01_1853__b266814271475">Edit</strong> to modify the attributes of a security zone. If resources do not need to be managed in a security zone, the Ranger administrator can click <strong id="mrs_01_1853__b556163444717">Delete</strong> to delete the security zone.</p>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_1853__section2745154592116"><h4 class="sectiontitle">Configuring Permission Policies in a Security Zone</h4><ol id="mrs_01_1853__ol18441518103215"><li id="mrs_01_1853__li58441318173210"><span>Log in to the Ranger management page as the administrator of a security zone.</span></li><li id="mrs_01_1853__li268515311256"><span>Select a security zone from the <strong id="mrs_01_1853__b46218179556">Security Zone</strong> drop-down list in the upper right corner of the Ranger home page to switch to the permission view of the security zone.</span><p><p id="mrs_01_1853__p125522161283"><span><img id="mrs_01_1853__image79716130287" src="en-us_image_0000001295770300.png"></span></p>
+</p></li><li id="mrs_01_1853__li57185284516"><span>Click the permission plug-in name of a component. The page for security access policy list of the component is displayed.</span><p><div class="note" id="mrs_01_1853__note3665101145213"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1853__p146661117522">In the policy list of each component, the default items generated by the system are automatically inherited to the security zone to ensure the permissions of some default users or user groups in the cluster.</p>
+</div></div>
+</p></li><li id="mrs_01_1853__li15584102711513"><span>Click <strong id="mrs_01_1853__b19986144735516">Add New Policy</strong> and configure resource access policies for related users or user groups based on the service scenario plan.</span><p><p id="mrs_01_1853__p96751032163411">In this example, a policy that allows user test to access the <strong id="mrs_01_1853__b15996161495">/testzone/test</strong> directory is configured in the security zone.</p>
+<p id="mrs_01_1853__p399641112354"><span><img id="mrs_01_1853__image558215307399" src="en-us_image_0000001296090092.png"></span></p>
+<p id="mrs_01_1853__p050313465117">The following access policies are examples for different components:</p>
+<ul id="mrs_01_1853__ul79191810821"><li id="mrs_01_1853__li236015315414"><a href="mrs_01_1856.html">Adding a Ranger Access Permission Policy for HDFS</a></li><li id="mrs_01_1853__li99173811556"><a href="mrs_01_1857.html">Adding a Ranger Access Permission Policy for HBase</a></li><li id="mrs_01_1853__li2151131218553"><a href="mrs_01_1858.html">Adding a Ranger Access Permission Policy for Hive</a></li><li id="mrs_01_1853__li128531014195510"><a href="mrs_01_1859.html">Adding a Ranger Access Permission Policy for Yarn</a></li><li id="mrs_01_1853__li253818180552"><a href="mrs_01_1860.html">Adding a Ranger Access Permission Policy for Spark2x</a></li><li id="mrs_01_1853__li17240822105516"><a href="mrs_01_1861.html">Adding a Ranger Access Permission Policy for Kafka</a></li><li id="mrs_01_1853__li7177173065517"><a href="mrs_01_1863.html">Adding a Ranger Access Permission Policy for Storm</a></li></ul>
+<p id="mrs_01_1853__p786310493212">After the policies are added, wait for about 30 seconds for them to take effect.</p>
+<div class="note" id="mrs_01_1853__note97312517522"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1853__ul203941213312"><li id="mrs_01_1853__li63945113113">Policies defined in a security zone apply only to resources in the zone. After service resources are allocated to the security zone, the access permission policies for the resources in the non-security zone do not take effect.</li><li id="mrs_01_1853__li7788689313">To configure access policies for resources outside the current security zone, click <strong id="mrs_01_1853__b18663153613166">Security Zone</strong> in the upper right corner of the Ranger homepage to exit the current security zone.</li></ul>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1849.html">Using Ranger (MRS 3.x)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1854.html b/docs/mrs/component-operation-guide/mrs_01_1854.html
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index 000000000..f0d052648
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@@ -0,0 +1,24 @@
+<a name="mrs_01_1854"></a><a name="mrs_01_1854"></a>
+
+<h1 class="topictitle1">Viewing Ranger Permission Information</h1>
+<div id="body1595917959389"><p id="mrs_01_1854__p8060118">You can view Ranger permission settings, such as users, user groups, and roles.</p>
+<div class="section" id="mrs_01_1854__section6458163473816"><h4 class="sectiontitle">Viewing Ranger Permission Information</h4><ol id="mrs_01_1854__ol1185910381383"><li id="mrs_01_1854__li087613915442"><span>Log in to the Ranger management page as the <span id="mrs_01_1854__ph12936125512217">Ranger</span><span id="mrs_01_1854__ph7674125652110"> </span>administrator.</span></li><li id="mrs_01_1854__li9716941203812"><span>Choose <strong id="mrs_01_1854__b757194210156">Settings</strong> &gt; <strong id="mrs_01_1854__b116294218158">Users</strong>/<strong id="mrs_01_1854__b106214212153">Groups</strong>/<strong id="mrs_01_1854__b563154251515">Roles</strong> to view information about users, user groups, or roles in the system.</span><p><ul id="mrs_01_1854__ul16799125134017"><li id="mrs_01_1854__li2079917512406">Users: displays all user information synchronized from LDAP or OS to Ranger.</li><li id="mrs_01_1854__li166279479410">Groups: displays information about all user groups and role information synchronized from LDAP or OS to Ranger.</li><li id="mrs_01_1854__li1912720578443">Roles: displays information about roles created in Ranger.</li></ul>
+<div class="note" id="mrs_01_1854__note17452123254215"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1854__ul1968782812451"><li id="mrs_01_1854__li1568762804519">The users, roles, user groups created on FusionInsight Manager are automatically synchronized to Ranger periodically. The default period is 300,000 milliseconds (5 minutes). After roles and user groups in FusionInsight Manager are synchronized to Ranger, they become user groups. Only roles and user groups that are associated with users can be automatically synchronized to Ranger.</li><li id="mrs_01_1854__li2053114318459">The role created on the Ranger page is a set of users or user groups, which is used to flexibly set the permission access policies of components. The role is different from that on FusionInsight Manager.</li></ul>
+</div></div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_1854__section15960195045516"><h4 class="sectiontitle">Adjusting Ranger User Types</h4><ol id="mrs_01_1854__ol4906723565"><li id="mrs_01_1854__li590618255613"><span>Log in to the Ranger management page.</span><p><p id="mrs_01_1854__p1266234705710">To change the Ranger user type, you must log in as an <strong id="mrs_01_1854__b466322916457">admin</strong> user. For details about the user types, see <a href="mrs_01_1850.html#mrs_01_1850__section2695135412818">Ranger User Type</a>.</p>
+</p></li><li id="mrs_01_1854__li16783174215619"><span>Choose <strong id="mrs_01_1854__b16531144815515">Settings</strong> &gt; <strong id="mrs_01_1854__b93765285118">Users</strong>/<strong id="mrs_01_1854__b17705155135111">Groups</strong>/<strong id="mrs_01_1854__b15854112525">Roles</strong>. In the list of users, click the name of the user whose type you want to change.</span></li><li id="mrs_01_1854__li965511605918"><span>Set <strong id="mrs_01_1854__b196476491523">Select Role</strong> to the type to be modified.</span></li><li id="mrs_01_1854__li19973131615015"><span>Click <strong id="mrs_01_1854__b776229194637">Save</strong>.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_1854__section1167291415499"><h4 class="sectiontitle">Creating a Ranger Role</h4><p id="mrs_01_1854__p136798535114">The <span id="mrs_01_1854__ph7357183692220">Ranger</span><span id="mrs_01_1854__ph19849173622213"> </span>administrator can flexibly configure permission access policies for components based on users, user groups, or roles. User and user group information is automatically synchronized from LDAP, and roles can be manually added.</p>
+<ol id="mrs_01_1854__ol3783137135116"><li id="mrs_01_1854__li678315712516"><span>Log in to the Ranger management page.</span></li><li id="mrs_01_1854__li1955013545216"><span>Choose <strong id="mrs_01_1854__b2042014624616">Settings</strong> &gt; <strong id="mrs_01_1854__b742516184616">Users</strong>/<strong id="mrs_01_1854__b64257614619">Groups</strong>/<strong id="mrs_01_1854__b1242620654614">Roles</strong> &gt; <strong id="mrs_01_1854__b6426146104610">Roles</strong> &gt; <strong id="mrs_01_1854__b11426763461">Add New Role</strong>.</span></li><li id="mrs_01_1854__li1886194318552"><span>Enter the role name and description as prompted.</span></li><li id="mrs_01_1854__li176581145165211"><span>Add users, user groups, and sub-roles to the role.</span><p><ul id="mrs_01_1854__ul2831122018563"><li id="mrs_01_1854__li183118202566">In the <strong id="mrs_01_1854__b21395108462">Users</strong> area, select a created user in the system and click <strong id="mrs_01_1854__b14144111012463">Add Users</strong>.</li><li id="mrs_01_1854__li12721258185615">In the <strong id="mrs_01_1854__b54451411124614">Groups</strong> area, select a created user group and click <strong id="mrs_01_1854__b18445151174615">Add Group</strong>.</li><li id="mrs_01_1854__li96392591567">In the <strong id="mrs_01_1854__b727021310465">Roles</strong> area, select a created role in the system and click <strong id="mrs_01_1854__b122713135462">Add Role</strong>.</li></ul>
+<p id="mrs_01_1854__p185661950133713"><span><img id="mrs_01_1854__image20805104014377" src="en-us_image_0000001295770296.png"></span></p>
+</p></li><li id="mrs_01_1854__li15205853155314"><span>Click <strong id="mrs_01_1854__b578513141462">Save</strong>. The role is added successfully.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1849.html">Using Ranger (MRS 3.x)</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1856"></a><a name="mrs_01_1856"></a>
+
+<h1 class="topictitle1">Adding a Ranger Access Permission Policy for HDFS</h1>
+<div id="body1595917962133"><div class="section" id="mrs_01_1856__section1861148182711"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1856__p757895715271">The <span id="mrs_01_1856__ph1389213457234">Ranger</span><span id="mrs_01_1856__ph733184682310"> </span>administrator can use Ranger to configure the read, write, and execution permissions on HDFS directories or files for HDFS users.</p>
+</div>
+<div class="section" id="mrs_01_1856__section11493172153315"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1856__ul5357197143515"><li id="mrs_01_1856__li735717193519">The Ranger service has been installed and is running properly.</li><li id="mrs_01_1856__li1516017214353">You have created users, user groups, or roles for which you want to configure permissions.</li></ul>
+</div>
+<div class="section" id="mrs_01_1856__section783035910271"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1856__ol1065893219380"><li id="mrs_01_1856__li12298114525917"><span>Log in to the Ranger management page.</span></li><li id="mrs_01_1856__li18658932173820"><span>On the homepage, click the component plug-in name in the <strong id="mrs_01_1856__b10698142835518">HDFS</strong> area, for example, <strong id="mrs_01_1856__b6704202845518">hacluster</strong>.</span></li><li id="mrs_01_1856__li1955384410387"><span>Click <strong id="mrs_01_1856__b6615183617551">Add New Policy</strong> to add an HDFS permission control policy.</span></li><li id="mrs_01_1856__li139634483403"><span>Configure the parameters listed in the table below based on the service demands.</span><p>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1856__table4469841184115" frame="border" border="1" rules="all"><caption><b>Table 1 </b>HDFS permission parameters</caption><thead align="left"><tr id="mrs_01_1856__row2469841104115"><th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.3.2.4.2.1.2.3.1.1"><p id="mrs_01_1856__p846954194111">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="80%" id="mcps1.3.3.2.4.2.1.2.3.1.2"><p id="mrs_01_1856__p1346904194117">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1856__row1469174110419"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1856__p1469114120417">Policy Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="80%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1856__p546954144118">Policy name, which can be customized and must be unique in the service.</p>
+</td>
+</tr>
+<tr id="mrs_01_1856__row31471937358"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1856__p5148113712519">Policy Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="80%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1856__p15148137959">IP address filtering policy, which can be customized. You can enter one or more IP addresses or IP address segments. The IP address can contain the wildcard character (*), for example, <strong id="mrs_01_1856__b08205132110">192.168.1.10</strong>,<strong id="mrs_01_1856__b127722157112">192.168.1.20</strong>, or <strong id="mrs_01_1856__b102081918111110">192.168.1.*</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1856__row106814182213"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1856__p196910112228">Policy Label</p>
+</td>
+<td class="cellrowborder" valign="top" width="80%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1856__p5695112225">A label specified for the current policy. You can search for reports and filter policies based on labels.</p>
+</td>
+</tr>
+<tr id="mrs_01_1856__row104697417417"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1856__p1598819376474">Resource Path</p>
+</td>
+<td class="cellrowborder" valign="top" width="80%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1856__p10988837194720">Resource path, which is the HDFS path folder or file to which the current policy applies. You can enter multiple values and use the wildcard (*), for example, <strong id="mrs_01_1856__b123003110561">/test/*</strong>.</p>
+<p id="mrs_01_1856__p549418517525">To enable a subdirectory to inherit the permission of its upper-level directory, enable the recursion function.</p>
+<p id="mrs_01_1856__p1287718368143">If recursion is enabled for the parent directory and a policy is configured for the subdirectory, the policy configured for the subdirectory is used.</p>
+<ul id="mrs_01_1856__ul18956181511313"><li id="mrs_01_1856__li1395613151438"><strong id="mrs_01_1856__b2052793281614">non-recursive</strong>: recursion disabled</li><li id="mrs_01_1856__li142609275313"><strong id="mrs_01_1856__b235615389162">recursive</strong>: recursion enabled</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_1856__row10990613111914"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1856__p2990131381917">Description</p>
+</td>
+<td class="cellrowborder" valign="top" width="80%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1856__p699012134196">Policy description.</p>
+</td>
+</tr>
+<tr id="mrs_01_1856__row12469141164113"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1856__p898812379471">Audit Logging</p>
+</td>
+<td class="cellrowborder" valign="top" width="80%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1856__p18988437174719">Whether to audit the policy.</p>
+</td>
+</tr>
+<tr id="mrs_01_1856__row29973720471"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1856__p11995376471">Allow Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="80%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1856__p18991137164717">Permission and exception conditions allowed by a policy. The priority of an exception condition is higher than that of a normal condition.</p>
+<p id="mrs_01_1856__p1819113143111">In the <strong id="mrs_01_1856__b2092182416101">Select Role</strong>, <strong id="mrs_01_1856__b990620262103">Select Group</strong>, and <strong id="mrs_01_1856__b2200133012106">Select User</strong> columns, select the role, user group, or user to which the permission is to be granted, click <strong id="mrs_01_1856__b2068164019104">Add Conditions</strong>, add the IP address range to which the policy applies, and click <strong id="mrs_01_1856__b910154914102">Add Permissions</strong> to add the corresponding permission.</p>
+<ul id="mrs_01_1856__ul183931610151418"><li id="mrs_01_1856__li2039341013144"><strong id="mrs_01_1856__b61891943141611">Read</strong>: permission to read data</li><li id="mrs_01_1856__li691217172146"><strong id="mrs_01_1856__b6332184741617">Write</strong>: permission to write data</li><li id="mrs_01_1856__li8597132031418"><strong id="mrs_01_1856__b10203251181612">Execute</strong>: execution permission</li><li id="mrs_01_1856__li576593075713"><strong id="mrs_01_1856__b34018712116">Select/Deselect All</strong>: Select or deselect all.</li></ul>
+<p id="mrs_01_1856__p1545113122150">If users or user groups in the current condition need to manage this policy, select <strong id="mrs_01_1856__b7588452115820">Delegate Admin</strong>. These users or user groups will become the agent administrators. The agent administrators can update and delete this policy and create sub-policies based on the original policy.</p>
+<p id="mrs_01_1856__p1455931125418">To add multiple permission control rules, click <span><img id="mrs_01_1856__image39121143141112" src="en-us_image_0000001349289373.png"></span>. To delete a permission control rule, click <span><img id="mrs_01_1856__image9311372338" src="en-us_image_0000001348770093.png"></span>.</p>
+<p id="mrs_01_1856__p830416219359">Exclude from Allow Conditions: exception rules excluded from the allowed conditions</p>
+</td>
+</tr>
+<tr id="mrs_01_1856__row4714175405513"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1856__p18715135417554">Deny All Other Accesses</p>
+</td>
+<td class="cellrowborder" valign="top" width="80%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1856__p144192211564">Whether to reject all other access requests.</p>
+<ul id="mrs_01_1856__ul1869410255564"><li id="mrs_01_1856__li16941255562"><strong id="mrs_01_1856__b8643671179">True</strong>: All other access requests are rejected.</li><li id="mrs_01_1856__li1769402595615"><strong id="mrs_01_1856__b393714915176">False</strong>: <strong id="mrs_01_1856__b1836164310591">Deny Conditions</strong> can be configured.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_1856__row899937184718"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1856__p5991537154719">Deny Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="80%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1856__p1799337194719">Policy rejection condition, which is used to configure the permissions and exceptions to be denied in the policy. The configuration method is the same as that of <strong id="mrs_01_1856__b14553170706">Allow Conditions</strong>. The priority of the rejection condition is higher than that of the allowed conditions configured in <strong id="mrs_01_1856__b165581409014">Allow Conditions</strong>.</p>
+<p id="mrs_01_1856__p10996114819815"><strong id="mrs_01_1856__b13402122261712">Exclude from Deny Conditions</strong>: exception rules excluded from the denied conditions</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1856__p856294531710">For example, to add the write permission for the <strong id="mrs_01_1856__b1326518201103">/user/test</strong> directory of user <strong id="mrs_01_1856__b1927017201605">testuser</strong>, the configuration is as follows:</p>
+<p id="mrs_01_1856__p664045716512"><span><img id="mrs_01_1856__image1664015715510" src="en-us_image_0000001389252974.png"></span></p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1856__tc5a4f557e6144488a1ace112bb8db6ee" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Setting permissions</caption><thead align="left"><tr id="mrs_01_1856__rf34d31ecea1e4bfa83b3c049c1dd41f8"><th align="left" class="cellrowborder" valign="top" width="37.41%" id="mcps1.3.3.2.4.2.4.2.3.1.1"><p id="mrs_01_1856__aadbfbbb39d0e4ba8a7478c93d9cad42e">Task</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="62.59%" id="mcps1.3.3.2.4.2.4.2.3.1.2"><p id="mrs_01_1856__acf9e0c106c8d4c9c9cd716218e90bdae">Role Authorization</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1856__row1296983113534"><td class="cellrowborder" valign="top" width="37.41%" headers="mcps1.3.3.2.4.2.4.2.3.1.1 "><p id="mrs_01_1856__p57634569113541">Setting the HDFS administrator permission</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.59%" headers="mcps1.3.3.2.4.2.4.2.3.1.2 "><ol type="a" id="mrs_01_1856__ol9811840103417"><li id="mrs_01_1856__li3811140173416">On the homepage, click the component plug-in name in the <strong id="mrs_01_1856__b174332513113">HDFS</strong> area, for example, <strong id="mrs_01_1856__b443910512117">hacluster</strong>.</li><li id="mrs_01_1856__li13360163663816">Select the policy whose <strong id="mrs_01_1856__b1036098319">Policy Name</strong> is <strong id="mrs_01_1856__b1136078018">all - path</strong> and click <span><img id="mrs_01_1856__image262417334017" src="en-us_image_0000001295930232.png"></span> to edit the policy.</li><li id="mrs_01_1856__li1369322054013">In the <strong id="mrs_01_1856__b1144210192117">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1856__b8443419815">Select User</strong> drop-down list.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1856__rf9e165cafb794eb68c0c4850bc7c9547"><td class="cellrowborder" valign="top" width="37.41%" headers="mcps1.3.3.2.4.2.4.2.3.1.1 "><p id="mrs_01_1856__a2474c3f6e8c34b6bb82e42bbdb74ea85">Setting the permission for users to check and recover HDFS</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.59%" headers="mcps1.3.3.2.4.2.4.2.3.1.2 "><ol type="a" id="mrs_01_1856__o1e958b1ec20d47768de7dd002b059e50"><li id="mrs_01_1856__ld973a3178b874b2991a34724362edeaa">Add a folder or a file path in <strong id="mrs_01_1856__b822719292112">Resource Path</strong>.</li><li id="mrs_01_1856__l90a887e837424d2e9d0e4edb5bc29030">In the <strong id="mrs_01_1856__b77634321014">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1856__b1876983213115">Select User</strong> drop-down list.</li><li id="mrs_01_1856__la261edb792114984b435ac93df993a6c">Click <strong id="mrs_01_1856__b139715561513">Add Permissions</strong> and select <strong id="mrs_01_1856__b18398155619117">Read</strong> and <strong id="mrs_01_1856__b1439916561313">Execute</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1856__rac8abf6080f948f2837354b9ee1f2eae"><td class="cellrowborder" valign="top" width="37.41%" headers="mcps1.3.3.2.4.2.4.2.3.1.1 "><p id="mrs_01_1856__a44e5153fd70d40e39b0a15843dadcbc3">Setting the permission for users to read directories or files of other users</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.59%" headers="mcps1.3.3.2.4.2.4.2.3.1.2 "><ol type="a" id="mrs_01_1856__o9a0ec8b0fd9e42d382778df75c50cbe1"><li id="mrs_01_1856__li240875211401">Add a folder or a file path in <strong id="mrs_01_1856__b571851022">Resource Path</strong>.</li><li id="mrs_01_1856__li1375017398406">In the <strong id="mrs_01_1856__b1723280218">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1856__b22417818211">Select User</strong> drop-down list.</li><li id="mrs_01_1856__l6dfdbf89d41a4bd79c5d6fc664702669">Click <strong id="mrs_01_1856__b837204119219">Add Permissions</strong> and select <strong id="mrs_01_1856__b13378441323">Read</strong> and <strong id="mrs_01_1856__b3379114115210">Execute</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1856__r8fed251f76ed451c8aac26345e3c05eb"><td class="cellrowborder" valign="top" width="37.41%" headers="mcps1.3.3.2.4.2.4.2.3.1.1 "><p id="mrs_01_1856__a704526dfe1054cb2896940af773263dc">Setting the permission for users to write data to files of other users</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.59%" headers="mcps1.3.3.2.4.2.4.2.3.1.2 "><ol type="a" id="mrs_01_1856__o4fa07111ada04dfc8e7c44b5a19c4834"><li id="mrs_01_1856__li161018543415">Add a folder or a file path in <strong id="mrs_01_1856__b15797184610213">Resource Path</strong>.</li><li id="mrs_01_1856__l8d58d349fcd042c3b69dfcbe8788d741">In the <strong id="mrs_01_1856__b395044815213">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1856__b18951184819216">Select User</strong> drop-down list.</li><li id="mrs_01_1856__ld8bc3344800448908c36bc13c73993c8">Click <strong id="mrs_01_1856__b1588085919219">Add Permissions</strong> and select <strong id="mrs_01_1856__b198860592215">Write</strong> and <strong id="mrs_01_1856__b148870598216">Execute</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1856__re017a0dbcf9e42efa1310e1106db7d31"><td class="cellrowborder" valign="top" width="37.41%" headers="mcps1.3.3.2.4.2.4.2.3.1.1 "><p id="mrs_01_1856__a21c768ba621b4b848ae8e2ef41a978a0">Setting the permission for users to create or delete sub-files or sub-directories in the directory of other users</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.59%" headers="mcps1.3.3.2.4.2.4.2.3.1.2 "><ol type="a" id="mrs_01_1856__oe6b0d0e9c3a0463385039a4affb02ac7"><li id="mrs_01_1856__li118832015144218">Add a folder or a file path in <strong id="mrs_01_1856__b2028710319319">Resource Path</strong>.</li><li id="mrs_01_1856__li073312714210">In the <strong id="mrs_01_1856__b659818610320">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1856__b105999614310">Select User</strong> drop-down list.</li><li id="mrs_01_1856__lcc818b93fd7f45ce8a4ffd6b3aae63a8">Click <strong id="mrs_01_1856__b172019919312">Add Permissions</strong> and select <strong id="mrs_01_1856__b1220713915320">Write</strong> and <strong id="mrs_01_1856__b122081895311">Execute</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1856__rd5217b631eb6421aa7c45644bc254a13"><td class="cellrowborder" valign="top" width="37.41%" headers="mcps1.3.3.2.4.2.4.2.3.1.1 "><p id="mrs_01_1856__a32d8391db46e4787a7d096da8a671898">Setting the permission for users to execute directories or files of other users</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.59%" headers="mcps1.3.3.2.4.2.4.2.3.1.2 "><ol type="a" id="mrs_01_1856__o80b909ed22fd45f8baffe926ef71587f"><li id="mrs_01_1856__li623663519422">Add a folder or a file path in <strong id="mrs_01_1856__b25597131737">Resource Path</strong>.</li><li id="mrs_01_1856__li1569632216425">In the <strong id="mrs_01_1856__b86937181139">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1856__b5698111812313">Select User</strong> drop-down list.</li><li id="mrs_01_1856__l2a448ca013bc4123ba33c29bc60b8ae1">Click <strong id="mrs_01_1856__b1846782012313">Add Permissions</strong> and select <strong id="mrs_01_1856__b1246817201634">Execute</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1856__r8e38f61d29dd4e1891c772dbac3b9553"><td class="cellrowborder" valign="top" width="37.41%" headers="mcps1.3.3.2.4.2.4.2.3.1.1 "><p id="mrs_01_1856__aa0f319c900db48d09482597f63c8c3a8">Setting the permission for allowing subdirectories to inherit all permissions of their parent directories</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.59%" headers="mcps1.3.3.2.4.2.4.2.3.1.2 "><ol type="a" id="mrs_01_1856__o5ed1ea0602864bf69370bc42e1862a76"><li id="mrs_01_1856__l8f68db749be04f85834a14e4c37741b2">Add a folder or a file path in <strong id="mrs_01_1856__b8945752121715">Resource Path</strong>.</li><li id="mrs_01_1856__l93b59f0c5d54426aa46fd67f66cf3910">Enable the recursion function. <strong id="mrs_01_1856__b1741565412175">Recursive</strong> indicates that recursion is enabled.</li></ol>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_1856__li1843153914410"><span>(Optional) Add the validity period of the policy. Click <strong id="mrs_01_1856__b779016593173">Add Validity period</strong> in the upper right corner of the page, set <strong id="mrs_01_1856__b2796759141716">Start Time</strong> and <strong id="mrs_01_1856__b1879716594179">End Time</strong>, and select <strong id="mrs_01_1856__b1379715941714">Time Zone</strong>. Click <strong id="mrs_01_1856__b64628014713">Save</strong>. To add multiple policy validity periods, click <span><img id="mrs_01_1856__image15741956174617" src="en-us_image_0000001349169797.png"></span>. To delete a policy validity period, click <span><img id="mrs_01_1856__image9741115619467" src="en-us_image_0000001349169801.png"></span>.</span></li><li id="mrs_01_1856__li18337132412418"><span>Click <strong id="mrs_01_1856__b1064710450186">Add</strong> to view the basic information about the policy in the policy list. After the policy takes effect, check whether the related permissions are normal.</span><p><p id="mrs_01_1856__p63219632216">To disable a policy, click <span><img id="mrs_01_1856__image1876104732217" src="en-us_image_0000001295930236.png"></span> to edit the policy and set the policy to <strong id="mrs_01_1856__b1703185016193">Disabled</strong>.</p>
+<p id="mrs_01_1856__p1156483182316">If a policy is no longer used, click <span><img id="mrs_01_1856__image79841567249" src="en-us_image_0000001349089905.png"></span> to delete it.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1849.html">Using Ranger (MRS 3.x)</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1857"></a><a name="mrs_01_1857"></a>
+
+<h1 class="topictitle1">Adding a Ranger Access Permission Policy for HBase</h1>
+<div id="body1595917965483"><div class="section" id="mrs_01_1857__section1861148182711"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1857__p757895715271"><span id="mrs_01_1857__ph1389213457234">Ranger</span><span id="mrs_01_1857__ph733184682310"> </span><span id="mrs_01_1857__ph5604102432818">a</span>dministrators can use Ranger to configure permissions on HBase tables, column families, and columns for HBase users.</p>
+</div>
+<div class="section" id="mrs_01_1857__section11493172153315"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1857__ul5357197143515"><li id="mrs_01_1857__li735717193519">The Ranger service has been installed and is running properly.</li><li id="mrs_01_1857__li1516017214353">You have created users, user groups, or roles for which you want to configure permissions.</li></ul>
+</div>
+<div class="section" id="mrs_01_1857__section747294016257"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1857__ol1065893219380"><li id="mrs_01_1857__li113985310516"><span>Log in to the Ranger management page.</span></li><li id="mrs_01_1857__li18658932173820"><span>On the home page, click the component plug-in name in the <strong id="mrs_01_1857__b164181913112312">HBASE</strong> area, for example, <strong id="mrs_01_1857__b242331317232">HBase</strong>.</span></li><li id="mrs_01_1857__li1955384410387"><span>Click <strong id="mrs_01_1857__b55342169237">Add New Policy</strong> to add an HBase permission control policy.</span></li><li id="mrs_01_1857__li139634483403"><span>Configure the parameters listed in the table below based on the service demands.</span><p>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1857__table4469841184115" frame="border" border="1" rules="all"><caption><b>Table 1 </b>HBase permission parameters</caption><thead align="left"><tr id="mrs_01_1857__row2469841104115"><th align="left" class="cellrowborder" valign="top" width="17.34%" id="mcps1.3.3.2.4.2.1.2.3.1.1"><p id="mrs_01_1857__p846954194111">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="82.66%" id="mcps1.3.3.2.4.2.1.2.3.1.2"><p id="mrs_01_1857__p1346904194117">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1857__row1469174110419"><td class="cellrowborder" valign="top" width="17.34%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1857__p1469114120417">Policy Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.66%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1857__p546954144118">Policy name, which can be customized and must be unique in the service.</p>
+</td>
+</tr>
+<tr id="mrs_01_1857__row1731584132218"><td class="cellrowborder" valign="top" width="17.34%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1857__p1031644172220">Policy Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.66%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1857__p113161841221">IP address filtering policy, which can be customized. You can enter one or more IP addresses or IP address segments. The IP address can contain the wildcard character (*), for example, <strong id="mrs_01_1857__b14948525161114">192.168.1.10</strong>,<strong id="mrs_01_1857__b3948425131118">192.168.1.20</strong>, or <strong id="mrs_01_1857__b13948625101119">192.168.1.*</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1857__row6691336665"><td class="cellrowborder" valign="top" width="17.34%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1857__p196910112228">Policy Label</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.66%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1857__p5695112225">A label specified for the current policy. You can search for reports and filter policies based on labels.</p>
+</td>
+</tr>
+<tr id="mrs_01_1857__row104697417417"><td class="cellrowborder" valign="top" width="17.34%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1857__p1598819376474">HBase Table</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.66%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1857__p48741418389">Name of a table to which the policy applies.</p>
+<p id="mrs_01_1857__p371393301720">The value can contain wildcard (*). For example,<strong id="mrs_01_1857__b185693503240"> table1:*</strong> indicates all tables in <strong id="mrs_01_1857__b6574165011248">table1</strong>.</p>
+<p id="mrs_01_1857__p144739142518">The <span class="parmname" id="mrs_01_1857__parmname39865591819"><b>Include</b></span> policy applies to the current input object, and the <span class="parmname" id="mrs_01_1857__parmname15987195914117"><b>Exclude</b></span> policy applies to objects other than the current input object.</p>
+<div class="note" id="mrs_01_1857__note2273194813387"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1857__p024545420387">The value of <strong id="mrs_01_1857__b483011924410">hbase.rpc.protection</strong> of the HBase service plug-in on Ranger must be the same as that of <strong id="mrs_01_1857__b10472161210452">hbase.rpc.protection</strong> on the HBase server. For details, see <a href="mrs_01_2355.html">When an HBase Policy Is Added or Modified on Ranger, Wildcard Characters Cannot Be Used to Search for Existing HBase Tables</a>.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1857__row18148183261417"><td class="cellrowborder" valign="top" width="17.34%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1857__p714912322149">HBase Column-family</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.66%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1857__p03408216150">Name of the column families to which the policy applies.</p>
+<p id="mrs_01_1857__p7607204543712">The <span class="parmname" id="mrs_01_1857__parmname0316162010510"><b>Include</b></span> policy applies to the current input object, and the <span class="parmname" id="mrs_01_1857__parmname1932319201759"><b>Exclude</b></span> policy applies to objects other than the current input object.</p>
+</td>
+</tr>
+<tr id="mrs_01_1857__row20149173241416"><td class="cellrowborder" valign="top" width="17.34%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1857__p314923214146">HBase Column</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.66%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1857__p61490323147">Name of the column to which the policy applies.</p>
+<p id="mrs_01_1857__p3411194573917">The <span class="parmname" id="mrs_01_1857__parmname211732415512"><b>Include</b></span> policy applies to the current input object, and the <span class="parmname" id="mrs_01_1857__parmname161234241054"><b>Exclude</b></span> policy applies to objects other than the current input object.</p>
+</td>
+</tr>
+<tr id="mrs_01_1857__row1069716327195"><td class="cellrowborder" valign="top" width="17.34%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1857__p15697173210192">Description</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.66%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1857__p1869773261914">Policy description.</p>
+</td>
+</tr>
+<tr id="mrs_01_1857__row12469141164113"><td class="cellrowborder" valign="top" width="17.34%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1857__p898812379471">Audit Logging</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.66%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1857__p18988437174719">Whether to audit the policy.</p>
+</td>
+</tr>
+<tr id="mrs_01_1857__row29973720471"><td class="cellrowborder" valign="top" width="17.34%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1857__p11995376471">Allow Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.66%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1857__p18991137164717">Policy allowed condition. You can configure permissions and exceptions allowed by the policy.</p>
+<p id="mrs_01_1857__p1819113143111">In the <strong id="mrs_01_1857__b103722321110">Select Role</strong>, <strong id="mrs_01_1857__b9377153216119">Select Group</strong>, and <strong id="mrs_01_1857__b03771632141112">Select User</strong> columns, select the role, user group, or user to which the permission is to be granted, click <strong id="mrs_01_1857__b173771232111114">Add Conditions</strong>, add the IP address range to which the policy applies, and click <strong id="mrs_01_1857__b103774329117">Add Permissions</strong> to add the corresponding permission.</p>
+<ul id="mrs_01_1857__ul183931610151418"><li id="mrs_01_1857__li2039341013144"><strong id="mrs_01_1857__b15362529171514">Read</strong>: permission to read data</li><li id="mrs_01_1857__li691217172146"><strong id="mrs_01_1857__b1199693414156">Write</strong>: permission to write data</li><li id="mrs_01_1857__li8597132031418"><strong id="mrs_01_1857__b917004071515">Create</strong>: permission to create data</li><li id="mrs_01_1857__li1046411237167"><strong id="mrs_01_1857__b181310430158">Admin</strong>: permission to manage data</li><li id="mrs_01_1857__li42499744316"><strong id="mrs_01_1857__b13291837142016">Select/Deselect All</strong>: Select or deselect all.</li></ul>
+<p id="mrs_01_1857__p1947092722612">If users or user groups in the current condition need to manage this policy, select <strong id="mrs_01_1857__b32731448152615">Delegate Admin</strong>. These users or user groups will become the agent administrators. The agent administrators can update and delete this policy and create sub-policies based on the original policy.</p>
+<p id="mrs_01_1857__p1455931125418">To add multiple permission control rules, click <span><img id="mrs_01_1857__image39121143141112" src="en-us_image_0000001349289361.png"></span>. To delete a permission control rule, click <span><img id="mrs_01_1857__image9311372338" src="en-us_image_0000001295770264.png"></span>.</p>
+<p id="mrs_01_1857__p830416219359">Exclude from Allow Conditions: policy exception conditions</p>
+</td>
+</tr>
+<tr id="mrs_01_1857__row387122619275"><td class="cellrowborder" valign="top" width="17.34%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1857__p138832692710">Deny All Other Accesses</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.66%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1857__p144192211564">Whether to reject all other access requests.</p>
+<ul id="mrs_01_1857__ul1869410255564"><li id="mrs_01_1857__li16941255562"><strong id="mrs_01_1857__b13298555101516">True</strong>: All other access requests are rejected.</li><li id="mrs_01_1857__li1769402595615"><strong id="mrs_01_1857__b98681327359">False</strong>: <strong id="mrs_01_1857__b3874122714514">Deny Conditions</strong> can be configured.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_1857__row899937184718"><td class="cellrowborder" valign="top" width="17.34%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1857__p5991537154719">Deny Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.66%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1857__p1799337194719">Policy rejection condition, which is used to configure the permissions and exceptions to be denied in the policy. The configuration method is similar to that of <strong id="mrs_01_1857__b54276209285">Allow Conditions</strong>.</p>
+<p id="mrs_01_1857__p16280440151113">The priority of <strong id="mrs_01_1857__b136591323172815">Deny Conditions</strong> is higher than that of allowed conditions configured in <strong id="mrs_01_1857__b76651237284">Allow Conditions</strong>.</p>
+<p id="mrs_01_1857__p10996114819815"><strong id="mrs_01_1857__b4350164111213">Exclude from Deny Conditions</strong>: exception rules excluded from the denied conditions</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1857__t873a9c44357b40cd98cb948ce9438d93" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Setting permissions</caption><thead align="left"><tr id="mrs_01_1857__r22d8abe0340447d689b9e0e015272547"><th align="left" class="cellrowborder" valign="top" width="30.259999999999998%" id="mcps1.3.3.2.4.2.2.2.3.1.1"><p id="mrs_01_1857__ac6fb62376c174fb5a3fc46f3ac6455d4">Task</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="69.74000000000001%" id="mcps1.3.3.2.4.2.2.2.3.1.2"><p id="mrs_01_1857__aa62388fc922c4b9d9bf078faefd25db3">Role Authorization</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1857__row62954416143450"><td class="cellrowborder" valign="top" width="30.259999999999998%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1857__p39209373143450">Setting the HBase administrator permission</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.74000000000001%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1857__ol9811840103417"><li id="mrs_01_1857__li3811140173416">On the home page, click the component plug-in name in the <strong id="mrs_01_1857__b178230356288">HBase</strong> area, for example, <strong id="mrs_01_1857__b0829735112812">HBase</strong>.</li><li id="mrs_01_1857__li13360163663816">Select the policy whose <strong id="mrs_01_1857__b18971039162818">Policy Name</strong> is <strong id="mrs_01_1857__b49771399282">all - table, column-family, column</strong> and click <span><img id="mrs_01_1857__image262417334017" src="en-us_image_0000001349089897.png"></span> to edit the policy.</li><li id="mrs_01_1857__li1369322054013">In the <strong id="mrs_01_1857__b1050264817288">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1857__b650313489281">Select User</strong> drop-down list.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1857__r5dfed8c26b5f4a208625be1492d26005"><td class="cellrowborder" valign="top" width="30.259999999999998%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1857__a41b42dfe116b448e9c83482bba5070b3">Setting the permission for users to create tables</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.74000000000001%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1857__o637a274405c540a28eb3e2d9087eae63"><li id="mrs_01_1857__li775214818254">In <strong id="mrs_01_1857__b3161165242812">HBase Table</strong>, specify a table name.</li><li id="mrs_01_1857__li1175211483251">In the <strong id="mrs_01_1857__b367213546286">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1857__b1167365416289">Select User</strong> drop-down list.</li><li id="mrs_01_1857__li575244820258">Click <strong id="mrs_01_1857__b3545956132813">Add Permissions</strong> and select <strong id="mrs_01_1857__b185454566284">Create</strong>.</li><li id="mrs_01_1857__li864784925511">This user hase the following permissions:<p id="mrs_01_1857__p189268585552"><a name="mrs_01_1857__li864784925511"></a><a name="li864784925511"></a>create table</p>
+<p id="mrs_01_1857__p10926258205511">drop table</p>
+<p id="mrs_01_1857__p1792615587556">truncate table</p>
+<p id="mrs_01_1857__p8926115819554">alter table</p>
+<p id="mrs_01_1857__p292613587556">enable table</p>
+<p id="mrs_01_1857__p13926195835515">flush table</p>
+<p id="mrs_01_1857__p1992615813558">flush region</p>
+<p id="mrs_01_1857__p199261588552">compact</p>
+<p id="mrs_01_1857__p492665819555">disable</p>
+<p id="mrs_01_1857__p125451551331">enable</p>
+<p id="mrs_01_1857__p1874515448539">desc</p>
+</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1857__ra5f354c6849d44edbeed327936919363"><td class="cellrowborder" valign="top" width="30.259999999999998%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1857__a6c2cafda8f5b409ba74b68582842934f">Setting the permission for users to write data to tables</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.74000000000001%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1857__ob98db7ec463946fab48b32af2a41711a"><li id="mrs_01_1857__li206861947290">In <strong id="mrs_01_1857__b933245972815">HBase Table</strong>, specify a table name.</li><li id="mrs_01_1857__li1268784714915">In the <strong id="mrs_01_1857__b164861800293">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1857__b164877011298">Select User</strong> drop-down list.</li><li id="mrs_01_1857__li1968717476912">Click <strong id="mrs_01_1857__b67851111296">Add Permissions</strong> and select <strong id="mrs_01_1857__b1878611132910">Write</strong>.</li><li id="mrs_01_1857__li1478803814520">The user has the <strong id="mrs_01_1857__b1175812112420">put</strong>, <strong id="mrs_01_1857__b25521239423">delete</strong>, <strong id="mrs_01_1857__b6136202504215">append</strong>, <strong id="mrs_01_1857__b956219269421">incr</strong> and <strong id="mrs_01_1857__b16632128134211">bulkload</strong> operation permissions.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1857__r6c36edec31fa430c91f7ad84f3e9a0ff"><td class="cellrowborder" valign="top" width="30.259999999999998%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1857__adaee6dab764348d083aca4da79c6e99b">Setting the permission for users to read data from tables</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.74000000000001%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1857__oa30fe88c86374c54947cf54944c691b6"><li id="mrs_01_1857__li035451241919">In <strong id="mrs_01_1857__b8703164132915">HBase Table</strong>, specify a table name.</li><li id="mrs_01_1857__li7354181211196">In the <strong id="mrs_01_1857__b168011558295">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1857__b178021657294">Select User</strong> drop-down list.</li><li id="mrs_01_1857__li2354161251911">Click <strong id="mrs_01_1857__b1513920792915">Add Permissions</strong> and select <strong id="mrs_01_1857__b51401776295">Read</strong>.</li><li id="mrs_01_1857__li185929571547">This user hase the <strong id="mrs_01_1857__b10644651144219">get</strong> and <strong id="mrs_01_1857__b42275593424">scan</strong> permissions.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1857__r95be17dbfe5646919d7299c1e229900e"><td class="cellrowborder" valign="top" width="30.259999999999998%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1857__ad1db0bbdb9ec47cd95f0101bcc3f8699">Setting the permission for users to manage namespaces or tables</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.74000000000001%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1857__o4fec88099543498580262f53621ac547"><li id="mrs_01_1857__li1952454211196">In <strong id="mrs_01_1857__b205561311102911">HBase Table</strong>, specify a table name.</li><li id="mrs_01_1857__li052464261919">In the <strong id="mrs_01_1857__b104591213132916">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1857__b6460201320294">Select User</strong> drop-down list.</li><li id="mrs_01_1857__li052474211199">Click <strong id="mrs_01_1857__b05871316182915">Add Permissions</strong> and select <strong id="mrs_01_1857__b059311162291">Admin</strong>.</li><li id="mrs_01_1857__li1399405204910">The user has the <strong id="mrs_01_1857__b63731513124313">rsgroup</strong>, <strong id="mrs_01_1857__b05264156432">peer</strong>, <strong id="mrs_01_1857__b5233171794314">assign</strong> and <strong id="mrs_01_1857__b43910205435">balance</strong> operation permissions.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1857__rd18a916a62e0438291e70f9ddf14c7e7"><td class="cellrowborder" valign="top" width="30.259999999999998%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1857__acbb7239ce1a54b668354ecfc89b0b91a">Setting the permission for reading data from or writing data to columns</p>
+</td>
+<td class="cellrowborder" valign="top" width="69.74000000000001%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1857__o72c9dd86625646509cffe6de230c4c75"><li id="mrs_01_1857__li148212610222">In <strong id="mrs_01_1857__b12813172120298">HBase Table</strong>, specify a table name.</li><li id="mrs_01_1857__li960914339223">In <strong id="mrs_01_1857__b815802312294">HBase Column-family</strong>, specify the column family name.</li><li id="mrs_01_1857__li1777414132314">In the <strong id="mrs_01_1857__b11259172712913">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1857__b1526582711294">Select User</strong> drop-down list.</li><li id="mrs_01_1857__li1395711711239">Click <strong id="mrs_01_1857__b203851630192915">Add Permissions</strong> and select <strong id="mrs_01_1857__b8391130172911">Read</strong> and <strong id="mrs_01_1857__b13922030152916">Write</strong>.</li></ol>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_1857__note1850774416434"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1857__p814921111116">If a user performs the <strong id="mrs_01_1857__b16625105865611">desc</strong> operation in <strong id="mrs_01_1857__b146083225710">hbase shell</strong>, the user must be granted the read permission on the <strong id="mrs_01_1857__b176913118577">hbase:qouta</strong> table.</p>
+</div></div>
+</p></li><li id="mrs_01_1857__li1171204215226"><span>(Optional) Add the validity period of the policy. Click <strong id="mrs_01_1857__b97857332292">Add Validity period</strong> in the upper right corner of the page, set <strong id="mrs_01_1857__b1978683392917">Start Time</strong> and <strong id="mrs_01_1857__b2787113310299">End Time</strong>, and select <strong id="mrs_01_1857__b12788033182913">Time Zone</strong>. Click <strong id="mrs_01_1857__b0673153742920">Save</strong>. To add multiple policy validity periods, click <span><img id="mrs_01_1857__en-us_topic_0241932507_image15741956174617" src="en-us_image_0000001296090056.png"></span>. To delete a policy validity period, click <span><img id="mrs_01_1857__en-us_topic_0241932507_image9741115619467" src="en-us_image_0000001295770268.png"></span>.</span></li><li id="mrs_01_1857__li18337132412418"><span>Click <strong id="mrs_01_1857__b4825348182913">Add</strong> to view the basic information about the policy in the policy list. After the policy takes effect, check whether the related permissions are normal.</span><p><p id="mrs_01_1857__en-us_topic_0241932507_p63219632216">To disable a policy, click <span><img id="mrs_01_1857__en-us_topic_0241932507_image1876104732217" src="en-us_image_0000001296249700.png"></span> to edit the policy and set the policy to <strong id="mrs_01_1857__b1552203412510">Disabled</strong>.</p>
+<p id="mrs_01_1857__en-us_topic_0241932507_p1156483182316">If a policy is no longer used, click <span><img id="mrs_01_1857__en-us_topic_0241932507_image79841567249" src="en-us_image_0000001349089901.png"></span> to delete it.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1849.html">Using Ranger (MRS 3.x)</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1858"></a><a name="mrs_01_1858"></a>
+
+<h1 class="topictitle1">Adding a Ranger Access Permission Policy for Hive</h1>
+<div id="body1595917967324"><div class="section" id="mrs_01_1858__section1861148182711"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1858__p757895715271">The <span id="mrs_01_1858__ph1389213457234">Ranger</span><span id="mrs_01_1858__ph733184682310"> </span>administrator can use Ranger to set permissions for Hive users. The default administrator account of Hive is <strong id="mrs_01_1858__b1473412917526">hive</strong> and the initial password is <strong id="mrs_01_1858__b193238597392">Hive@123</strong>.</p>
+</div>
+<div class="section" id="mrs_01_1858__section11493172153315"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1858__ul5357197143515"><li id="mrs_01_1858__li735717193519">The Ranger service has been installed and is running properly.</li><li id="mrs_01_1858__li19563173342811">You have created users, user groups, or roles for which you want to configure permissions.</li><li id="mrs_01_1858__li1176125495014">The users must be added to the <strong id="mrs_01_1858__b141781317195415">hive</strong> group.</li></ul>
+</div>
+<div class="section" id="mrs_01_1858__section747294016257"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1858__ol1065893219380"><li id="mrs_01_1858__li1082644513284"><span>Log in to the Ranger management page.</span></li><li id="mrs_01_1858__li18658932173820"><span>On the home page, click the component plug-in name in the <strong id="mrs_01_1858__b10523051153019">HADOOP SQL</strong> area, for example, <strong id="mrs_01_1858__b15524135193014">Hive</strong>.</span></li><li id="mrs_01_1858__li1955384410387"><span>On the <strong id="mrs_01_1858__b0322124105414">Access</strong> tab page, click <strong id="mrs_01_1858__b183238248544">Add New Policy</strong> to add a Hive permission control policy.</span></li><li id="mrs_01_1858__li139634483403"><span>Configure the parameters listed in the table below based on the service demands.</span><p>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1858__table4469841184115" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Hive permission parameters</caption><thead align="left"><tr id="mrs_01_1858__row2469841104115"><th align="left" class="cellrowborder" valign="top" width="12.989999999999998%" id="mcps1.3.3.2.4.2.1.2.3.1.1"><p id="mrs_01_1858__p846954194111">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="87.01%" id="mcps1.3.3.2.4.2.1.2.3.1.2"><p id="mrs_01_1858__p1346904194117">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1858__row1469174110419"><td class="cellrowborder" valign="top" width="12.989999999999998%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1858__p1469114120417">Policy Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="87.01%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1858__p546954144118">Policy name, which can be customized and must be unique in the service.</p>
+</td>
+</tr>
+<tr id="mrs_01_1858__row13825141412419"><td class="cellrowborder" valign="top" width="12.989999999999998%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1858__p1482611416247">Policy Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="87.01%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1858__p913014581448">IP address filtering policy, which can be customized. You can enter one or more IP addresses or IP address segments. The IP address can contain the wildcard character (*), for example, <strong id="mrs_01_1858__b19919038121118">192.168.1.10</strong>, <strong id="mrs_01_1858__b169251038181117">192.168.1.20</strong>, or <strong id="mrs_01_1858__b79251838161114">192.168.1.*</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1858__row134112411332"><td class="cellrowborder" valign="top" width="12.989999999999998%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1858__p196910112228">Policy Label</p>
+</td>
+<td class="cellrowborder" valign="top" width="87.01%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1858__p5695112225">A label specified for the current policy. You can search for reports and filter policies based on labels.</p>
+</td>
+</tr>
+<tr id="mrs_01_1858__row104697417417"><td class="cellrowborder" valign="top" width="12.989999999999998%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1858__p1598819376474">database</p>
+</td>
+<td class="cellrowborder" valign="top" width="87.01%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1858__p549418517525">Name of the Hive database to which the policy applies.</p>
+<p id="mrs_01_1858__p99402217306">The <span class="parmname" id="mrs_01_1858__parmname1939544510121"><b>Include</b></span> policy applies to the current input object, and the <span class="parmname" id="mrs_01_1858__parmname94011453126"><b>Exclude</b></span> policy applies to objects other than the current input object.</p>
+</td>
+</tr>
+<tr id="mrs_01_1858__row18439485286"><td class="cellrowborder" valign="top" width="12.989999999999998%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1858__p1284314483287">table</p>
+</td>
+<td class="cellrowborder" valign="top" width="87.01%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1858__p03408216150">Name of the Hive table to which the policy applies.</p>
+<p id="mrs_01_1858__p1960315455365">To add a UDF-based policy, switch to UDF and enter the UDF name.</p>
+<p id="mrs_01_1858__p18260108154018">The <span class="parmname" id="mrs_01_1858__parmname170944917121"><b>Include</b></span> policy applies to the current input object, and the <span class="parmname" id="mrs_01_1858__parmname2710144921214"><b>Exclude</b></span> policy applies to objects other than the current input object.</p>
+</td>
+</tr>
+<tr id="mrs_01_1858__row17244213311"><td class="cellrowborder" valign="top" width="12.989999999999998%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1858__p18724221203110">Hive Column</p>
+</td>
+<td class="cellrowborder" valign="top" width="87.01%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1858__p1096572173711">Name of the column to which the policy applies. The value <strong id="mrs_01_1858__b7169195217583">*</strong> indicates all columns.</p>
+<p id="mrs_01_1858__p86191312104017">The <span class="parmname" id="mrs_01_1858__parmname736475412129"><b>Include</b></span> policy applies to the current input object, and the <span class="parmname" id="mrs_01_1858__parmname1136417547120"><b>Exclude</b></span> policy applies to objects other than the current input object.</p>
+</td>
+</tr>
+<tr id="mrs_01_1858__row193961147123813"><td class="cellrowborder" valign="top" width="12.989999999999998%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1858__p15697173210192">Description</p>
+</td>
+<td class="cellrowborder" valign="top" width="87.01%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1858__p1869773261914">Policy description.</p>
+</td>
+</tr>
+<tr id="mrs_01_1858__row12469141164113"><td class="cellrowborder" valign="top" width="12.989999999999998%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1858__p898812379471">Audit Logging</p>
+</td>
+<td class="cellrowborder" valign="top" width="87.01%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1858__p18988437174719">Whether to audit the policy.</p>
+</td>
+</tr>
+<tr id="mrs_01_1858__row29973720471"><td class="cellrowborder" valign="top" width="12.989999999999998%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1858__p11995376471">Allow Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="87.01%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1858__p18991137164717">Policy allowed condition. You can configure permissions and exceptions allowed by the policy.</p>
+<p id="mrs_01_1858__p1819113143111">In the <strong id="mrs_01_1858__b102611404118">Select Role</strong>, <strong id="mrs_01_1858__b42611408115">Select Group</strong>, and <strong id="mrs_01_1858__b19271340181114">Select User</strong> columns, select the role, user group, or user to which the permission is to be granted, click <strong id="mrs_01_1858__b192764018113">Add Conditions</strong>, add the IP address range to which the policy applies, and click <strong id="mrs_01_1858__b8271040161116">Add Permissions</strong> to add the corresponding permission.</p>
+<ul id="mrs_01_1858__ul183931610151418"><li id="mrs_01_1858__li2039341013144">select: permission to query data</li><li id="mrs_01_1858__li198521174329">update: permission to update data</li><li id="mrs_01_1858__li1989492010329">Create: permission to create data</li><li id="mrs_01_1858__li97666281328">Drop: permission to drop data</li><li id="mrs_01_1858__li4492203363214">Alter: permission to alter data</li><li id="mrs_01_1858__li1868163813324">Index: permission to index data</li><li id="mrs_01_1858__li1586994283213">All: all permissions</li><li id="mrs_01_1858__li496454815324">Read: permission to read data</li><li id="mrs_01_1858__li137926520324">Write: permission to write data</li><li id="mrs_01_1858__li197901031332">Temporary UDF Admin: temporary UDF management permission</li><li id="mrs_01_1858__li1247541184312">Select/Deselect All: Select or deselect all.</li></ul>
+<p id="mrs_01_1858__p1545113122150">To add multiple permission control rules, click <span><img id="mrs_01_1858__image341133521514" src="en-us_image_0000001348770073.png"></span>.</p>
+<p id="mrs_01_1858__p8404164411">If users or user groups in the current condition need to manage this policy, select <strong id="mrs_01_1858__b152131847165918">Delegate Admin</strong>. These users will become the agent administrators. The agent administrators can update and delete this policy and create sub-policies based on the original policy.</p>
+</td>
+</tr>
+<tr id="mrs_01_1858__row899937184718"><td class="cellrowborder" valign="top" width="12.989999999999998%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1858__p5991537154719">Deny Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="87.01%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1858__p1799337194719">Policy rejection condition, which is used to configure the permissions and exceptions to be denied in the policy. The configuration method is similar to that of <strong id="mrs_01_1858__b199995465913">Allow Conditions</strong>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1858__t407ce486d4824c69ba125f7c1be82b9b" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Setting permissions</caption><thead align="left"><tr id="mrs_01_1858__r8970570f5e404ff3b4e26f1ec887b626"><th align="left" class="cellrowborder" valign="top" width="29.520000000000003%" id="mcps1.3.3.2.4.2.2.2.3.1.1"><p id="mrs_01_1858__a966f96441ec341ab81e25cd71592239c">Task</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="70.48%" id="mcps1.3.3.2.4.2.2.2.3.1.2"><p id="mrs_01_1858__a32ca2f2b7e424d8480ede0da91c11ded">Role Authorization</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1858__r37ebca35241b4cae98114fef8e98c8dc"><td class="cellrowborder" valign="top" width="29.520000000000003%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1858__af314c609654c4df69886c974332dfe3d"><strong id="mrs_01_1858__b4899821602">role admin</strong> operation</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.48%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1858__ol832433933118"><li id="mrs_01_1858__li5552134783210">On the home page, click <strong id="mrs_01_1858__b61517513011">Settings</strong> and choose <strong id="mrs_01_1858__b16151145103">Roles</strong>.</li><li id="mrs_01_1858__li12406174318318">Click the role with <strong id="mrs_01_1858__b49237431472">Role Name</strong> set to <strong id="mrs_01_1858__b261014718012">admin</strong>. In the <strong id="mrs_01_1858__b6610376013">Users</strong> area, click <strong id="mrs_01_1858__b86101071405">Select User</strong> and select a username.</li><li id="mrs_01_1858__li11324133923115">Click <strong id="mrs_01_1858__b14271412406">Add Users</strong>, select <strong id="mrs_01_1858__b8427101216011">Is Role Admin</strong> in the row where the username is located, and click <strong id="mrs_01_1858__b184275121906">Save</strong>.</li></ol>
+<div class="note" id="mrs_01_1858__n768c024de71e4be5a7ca11d780550475"><span class="notetitle"> NOTE: </span><div class="notebody"><p class="textintable" id="mrs_01_1858__aeaaa930f124b470ca0f6c4f62ddfea8f">Only user <strong id="mrs_01_1858__b4970114019015">rangeradmin</strong> has the permission to access the <strong id="mrs_01_1858__b1539514511209">Settings</strong> option on the Ranger page. After being bound to the Hive administrator role, perform the following operations during each maintenance operation:</p>
+<ol type="a" id="mrs_01_1858__o22025688792147a69a4b441a2e159ca0"><li id="mrs_01_1858__l3ec30b72298549d2b374d9add384655d">Log in to the node where the Hive client is installed as the client installation user.</li><li id="mrs_01_1858__l53e519f4f75e40b097f9a24dc70486d0">Run the following command to configure environment variables:<p class="litext" id="mrs_01_1858__a7cb143b430624aed9fcb7f62f733aa51"><a name="mrs_01_1858__l53e519f4f75e40b097f9a24dc70486d0"></a><a name="l53e519f4f75e40b097f9a24dc70486d0"></a>For example, if the Hive client installation directory is <strong id="mrs_01_1858__b1197044212015">/opt/hiveclient</strong>, run <strong id="mrs_01_1858__b119702042505">source /opt/hiveclient/bigdata_env</strong>.</p>
+</li><li id="mrs_01_1858__l1a40354ae9674d0da669b4fc35cc918e">Run the following command to authenticate the user:<p class="litext" id="mrs_01_1858__a48755538b3d44de38791df7ed368ab85"><a name="mrs_01_1858__l1a40354ae9674d0da669b4fc35cc918e"></a><a name="l1a40354ae9674d0da669b4fc35cc918e"></a><strong id="mrs_01_1858__b16241146905">kinit</strong> <em id="mrs_01_1858__i11624104616013">Hive service user</em></p>
+</li><li id="mrs_01_1858__l68bc41f3262f4d78852dae085cb4dd1c">Run the following command to log in to the client tool:<p class="litext" id="mrs_01_1858__a3b73ca536c184361b13af264c16b1c1d"><a name="mrs_01_1858__l68bc41f3262f4d78852dae085cb4dd1c"></a><a name="l68bc41f3262f4d78852dae085cb4dd1c"></a><strong id="mrs_01_1858__aa1e3a7d17715434ea08b2578a5591503">beeline</strong></p>
+</li><li id="mrs_01_1858__le84ff71b118b4a48a9f24cbab9188f94">Run the following command to update the administrator permissions:<p id="mrs_01_1858__ac94d0dcac4814326b675097bfa097f1b"><a name="mrs_01_1858__le84ff71b118b4a48a9f24cbab9188f94"></a><a name="le84ff71b118b4a48a9f24cbab9188f94"></a><strong id="mrs_01_1858__a2707464e1e1147df8a1a6525470a5827">set role admin;</strong></p>
+</li></ol>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1858__r32ef203c8450407ba2e7daaad43e84b3"><td class="cellrowborder" valign="top" width="29.520000000000003%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1858__p15432216890">Creating a database table</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.48%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1858__o03ff4239c1dd418a8aac1901b1a42eaf"><li id="mrs_01_1858__ld973a3178b874b2991a34724362edeaa">Enter the policy name in <strong id="mrs_01_1858__b841312391017">Policy Name</strong>.</li><li id="mrs_01_1858__li864518168382">Enter or select the corresponding database on the right side of <strong id="mrs_01_1858__b68651184141">database</strong> and enter or select <strong id="mrs_01_1858__b1640632661415">*</strong> on the right side of <strong id="mrs_01_1858__b143324577169">column</strong>. (To create a table, enter or select the corresponding table on the right side of <strong id="mrs_01_1858__b1467417521510">table</strong>.)</li><li id="mrs_01_1858__l90a887e837424d2e9d0e4edb5bc29030">In the <strong id="mrs_01_1858__b13021969210">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1858__b9302262217">Select User</strong> drop-down list.</li><li id="mrs_01_1858__la261edb792114984b435ac93df993a6c">Click <strong id="mrs_01_1858__b203731798218">Add Permissions</strong> and select <strong id="mrs_01_1858__b16373129827">Create</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1858__rc691dab3ec894d229b3089f314930b46"><td class="cellrowborder" valign="top" width="29.520000000000003%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1858__a63c7fa067a2c482ba8938e1eb2b5329b">Deleting a table</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.48%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1858__oa035ad8e31e345b68862f21f259a443f"><li id="mrs_01_1858__li2315817144220">Enter the policy name in <strong id="mrs_01_1858__b142601213522">Policy Name</strong>.</li><li id="mrs_01_1858__li193151917114210">Enter or select the corresponding database on the right side of <strong id="mrs_01_1858__b11653203151619">database</strong> and enter and select <strong id="mrs_01_1858__b1665393141613">*</strong> on the right side of <strong id="mrs_01_1858__b173164407162">column</strong>. (To delete a table, enter or select the corresponding table on the right side of <strong id="mrs_01_1858__b3653931141619">table</strong>.)</li><li id="mrs_01_1858__li11315151764214">In the <strong id="mrs_01_1858__b83401020122">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1858__b1234512201225">Select User</strong> drop-down list.</li><li id="mrs_01_1858__li113151617154217">Click <strong id="mrs_01_1858__b1978792316216">Add Permissions</strong> and select <strong id="mrs_01_1858__b1478719231025">Drop</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1858__row1890419397441"><td class="cellrowborder" valign="top" width="29.520000000000003%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1858__p189054395449">Query operation (<strong id="mrs_01_1858__b1069105017462">select</strong>, <strong id="mrs_01_1858__b523195310463">desc</strong>, and <strong id="mrs_01_1858__b866665411461">show</strong>)</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.48%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1858__ol11834161219451"><li id="mrs_01_1858__li28340127457">Enter the policy name in <strong id="mrs_01_1858__b199478461410">Policy Name</strong>.</li><li id="mrs_01_1858__li68344125450">Enter or select the corresponding database on the right side of <strong id="mrs_01_1858__b4791113931711">database</strong> and enter or select <strong id="mrs_01_1858__b579812398173">*</strong> (<strong id="mrs_01_1858__b196457138183">*</strong> indicates all columns) on the right side of <strong id="mrs_01_1858__b0800239101715">column</strong>. (To create a table, enter or select the corresponding table on the right side of <strong id="mrs_01_1858__b1980283916174">table</strong>.)</li><li id="mrs_01_1858__li11834121213459">In the <strong id="mrs_01_1858__b1865921813186">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1858__b14667118161814">Select User</strong> drop-down list.</li><li id="mrs_01_1858__li10835161264511">Click <strong id="mrs_01_1858__b62671423101819">Add Permissions</strong> and select <strong id="mrs_01_1858__b102742023171811">select</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1858__racaeeea562d449f6973523ddc07996a0"><td class="cellrowborder" valign="top" width="29.520000000000003%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1858__a8efa8e2e06224b16826141db91790a14"><strong id="mrs_01_1858__b6874194713219">Alter</strong> operation</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.48%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1858__o1781c8d0839d4117be5170cc4f1f0ec5"><li id="mrs_01_1858__li1353313215430">Enter the policy name in <strong id="mrs_01_1858__b749224816216">Policy Name</strong>.</li><li id="mrs_01_1858__li15339328431">Enter and select the corresponding database on the right side of <strong id="mrs_01_1858__b865123818311">database</strong> and enter or select <strong id="mrs_01_1858__b11656103811314">*</strong> on the right side of <strong id="mrs_01_1858__b16657103818312">column</strong>. (For tables, enter or select the corresponding table on the right side of <strong id="mrs_01_1858__b1965733843120">table</strong>.)</li><li id="mrs_01_1858__li105332032164312">In the <strong id="mrs_01_1858__b210810492033">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1858__b141131049537">Select User</strong> drop-down list.</li><li id="mrs_01_1858__li12533163215437">Click <strong id="mrs_01_1858__b73479501735">Add Permissions</strong> and select <strong id="mrs_01_1858__b73484505319">Alter</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1858__redd589ffe6e7438aa2462b39d1caae46"><td class="cellrowborder" valign="top" width="29.520000000000003%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1858__a8cfcb2ad226748ba963e1a8cedcc5e63"><strong id="mrs_01_1858__b1325511843">LOAD</strong> operation</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.48%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1858__o3001b283aedf4d219d8470bcae96c133"><li id="mrs_01_1858__li6370130114411">Enter the policy name in <strong id="mrs_01_1858__b1879819541941">Policy Name</strong>.</li><li id="mrs_01_1858__li1837083016449">On the right side of <strong id="mrs_01_1858__b514032720335">database</strong>, enter or select the corresponding database. On the right side of <strong id="mrs_01_1858__b17146152743316">table</strong>, enter or select the corresponding table. On the right side of <strong id="mrs_01_1858__b5147827193311">column</strong>, enter a column and select <strong id="mrs_01_1858__b41474278337">*</strong>.</li><li id="mrs_01_1858__li9370630154420">In the <strong id="mrs_01_1858__b158941511513">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1858__b13899171253">Select User</strong> drop-down list.</li><li id="mrs_01_1858__li537043094418">Click <strong id="mrs_01_1858__b1139739518">Add Permissions</strong> and select <strong id="mrs_01_1858__b1213913654">update</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1858__row208461944104814"><td class="cellrowborder" valign="top" width="29.520000000000003%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1858__p6846244144814"><strong id="mrs_01_1858__b745845317516">INSERT</strong> and <strong id="mrs_01_1858__b2538457145512">DELETE</strong> operations</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.48%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1858__ol1943920278504"><li id="mrs_01_1858__li1768413178452">Enter the policy name in <strong id="mrs_01_1858__b535812550515">Policy Name</strong>.</li><li id="mrs_01_1858__li1668431764510">On the right side of <strong id="mrs_01_1858__b581313420231">database</strong>, enter or select the corresponding database. On the right side of <strong id="mrs_01_1858__b2819174214234">table</strong>, enter or select the corresponding table. On the right side of <strong id="mrs_01_1858__b4820842102318">column</strong>, enter a column and select <strong id="mrs_01_1858__b3821154216231">*</strong>.</li><li id="mrs_01_1858__li11684191718454">In the <strong id="mrs_01_1858__b71191820968">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1858__b012415201611">Select User</strong> drop-down list.</li><li id="mrs_01_1858__li136846177456">Click <strong id="mrs_01_1858__b21978283620">Add Permissions</strong> and select <strong id="mrs_01_1858__b192024281767">update</strong>.</li><li id="mrs_01_1858__li134102491743">Configure the <strong id="mrs_01_1858__b1027382914611">submit</strong> permission on the Yarn task queue. For details about how to configure the permission, see <a href="mrs_01_1859.html">Adding a Ranger Access Permission Policy for Yarn</a>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1858__row18471749134810"><td class="cellrowborder" valign="top" width="29.520000000000003%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1858__p188473491486">GRANT/REVOKE operation</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.48%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1858__ol19483751105320"><li id="mrs_01_1858__li1268101913594">Enter the policy name in <strong id="mrs_01_1858__b9215649361">Policy Name</strong>.</li><li id="mrs_01_1858__li162694192596">On the right side of <strong id="mrs_01_1858__b12697183292317">database</strong>, enter or select the corresponding database. On the right side of <strong id="mrs_01_1858__b47021132132314">table</strong>, enter or select the corresponding table. On the right side of <strong id="mrs_01_1858__b57031032132319">column</strong>, enter a column and select <strong id="mrs_01_1858__b57031532102319">*</strong>.</li><li id="mrs_01_1858__li32691199592">In the <strong id="mrs_01_1858__b121267591661">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1858__b713135919617">Select User</strong> drop-down list.</li><li id="mrs_01_1858__li162695198593">Select <strong id="mrs_01_1858__b6295901577">Delegate Admin</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1858__row5871155414815"><td class="cellrowborder" valign="top" width="29.520000000000003%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1858__p387195434818">ADD JAR operation</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.48%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1858__ol10597126501"><li id="mrs_01_1858__li1752610295174">Enter the policy name in <strong id="mrs_01_1858__b297157471">Policy Name</strong>.</li><li id="mrs_01_1858__li552612981710">Click <strong id="mrs_01_1858__b646178974">database</strong>, and select <strong id="mrs_01_1858__b0468814711">global</strong> from the drop-down list. On the right of <strong id="mrs_01_1858__b1038115102720">global</strong>, enter related information or select <strong id="mrs_01_1858__b1238111103714">*</strong>.</li><li id="mrs_01_1858__li12526129171713">In the <strong id="mrs_01_1858__b427814171179">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1858__b828311171274">Select User</strong> drop-down list.</li><li id="mrs_01_1858__li185267299177">Click <strong id="mrs_01_1858__b158151017183116">Add Permissions</strong> and select <strong id="mrs_01_1858__b20506122033118">Temporary UDF Admin</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1858__row1360292513215"><td class="cellrowborder" valign="top" width="29.520000000000003%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1858__p150574217197">UDF operation</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.48%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1858__ol14308130174920"><li id="mrs_01_1858__li1930873014497">Enter the policy name in <strong id="mrs_01_1858__b385014829">Policy Name</strong>.</li><li id="mrs_01_1858__li15308030154915">Enter or select the corresponding database on the right of <strong id="mrs_01_1858__b1371844318360">database</strong>, and enter the corresponding udf function name on the right of <strong id="mrs_01_1858__b9796633153619">udf</strong>.</li><li id="mrs_01_1858__li14309130164912">In the <strong id="mrs_01_1858__b248208057">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1858__b484560080">Select User</strong> drop-down list.</li><li id="mrs_01_1858__li12309530184910">Click <strong id="mrs_01_1858__b1910834818367">Add Permissions</strong> and select required permissions for the user (<strong id="mrs_01_1858__b1286545311368">udf</strong> supports the <strong id="mrs_01_1858__b12443431171310">Create</strong>, <strong id="mrs_01_1858__b137462447139">select</strong>, and <strong id="mrs_01_1858__b174022434136">Drop</strong> permissions).</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1858__row16378165814810"><td class="cellrowborder" valign="top" width="29.520000000000003%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1858__p1437835844819">VIEW operation</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.48%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1858__ol9638145913412"><li id="mrs_01_1858__li26390594343">Enter the policy name in <strong id="mrs_01_1858__b33505363719">Policy Name</strong>.</li><li id="mrs_01_1858__li163916596347">On the right side of <strong id="mrs_01_1858__b3246138102417">database</strong>, enter or select the corresponding database. On the right side of <strong id="mrs_01_1858__b82523819240">table</strong>, enter or select the corresponding table to be viewed. On the right side of <strong id="mrs_01_1858__b192529814249">column</strong>, enter a column and select <strong id="mrs_01_1858__b20253108112413">*</strong>.</li><li id="mrs_01_1858__li1390813261377">In the <strong id="mrs_01_1858__b97701140773">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1858__b6770194011720">Select User</strong> drop-down list.</li><li id="mrs_01_1858__li1390862613378">Click <strong id="mrs_01_1858__b184277421174">Add Permissions</strong> and select permissions for the user as required.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1858__row17534561714"><td class="cellrowborder" valign="top" width="29.520000000000003%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1858__p6548561814">dfs command operation</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.48%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><p id="mrs_01_1858__p155420564117">The <strong id="mrs_01_1858__b27950211216">dfs</strong> operation can be performed only after you have run the <strong id="mrs_01_1858__b1695619595113">set role admin</strong> command.</p>
+</td>
+</tr>
+<tr id="mrs_01_1858__row198956194913"><td class="cellrowborder" valign="top" width="29.520000000000003%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1858__p1089513118499">Operations on other user database tables</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.48%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1858__ol760625883917"><li id="mrs_01_1858__li572424194017">Perform the preceding operations to add the corresponding permissions.</li><li id="mrs_01_1858__li15606145843912">Grant the read, write, and execution permissions on the HDFS paths of other user database tables to the user. For details, see <a href="mrs_01_1856.html">Adding a Ranger Access Permission Policy for HDFS</a>.</li></ol>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_1858__note1850774416434"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1858__ul87915587118"><li id="mrs_01_1858__li1979115810112">If you have specified an HDFS path when running commands, you need to be granted with the read, write, and execution permissions on the HDFS paths. For details, see <a href="mrs_01_1856.html">Adding a Ranger Access Permission Policy for HDFS</a>. You do not need to configure the Ranger policy of HDFS. You can use the Hive permission plug-in to add permissions to the role and assign the role to the corresponding user. If the HDFS Ranger policy can match the file or directory permission of the Hive database table, the HDFS Ranger policy is preferentially used.</li><li id="mrs_01_1858__li128966335333">The URL policy in the Ranger policy is involved in the scenario where the Hive table is stored on OBS. Set the URL to the complete path of the object on OBS. The Read and Write permissions are used together with the URL. URL policies are not involved in other scenarios.</li><li id="mrs_01_1858__li1541362420379">The global policy in the Ranger policy is used only with the <strong id="mrs_01_1858__b6538420203815">Temporary UDF Admin</strong> permission to control the upload of UDF packages.</li><li id="mrs_01_1858__li146513415390">The <strong id="mrs_01_1858__b12641443123812">hiveservice</strong> policy in the Ranger policy is used only with the <strong id="mrs_01_1858__b144994811386">Service Admin</strong> permission to control the permission to run the <strong id="mrs_01_1858__b75101455143811">kill query &lt;queryId&gt;</strong> command to end the task that is being executed.</li><li id="mrs_01_1858__li11664173812421">The <strong id="mrs_01_1858__b3121171043912">lock</strong>, <strong id="mrs_01_1858__b65566122395">index</strong>, <strong id="mrs_01_1858__b185471016153914">refresh</strong>, and <strong id="mrs_01_1858__b1083921817390">replAdmin</strong> permissions are not supported.</li><li id="mrs_01_1858__li125521329143420">Run the <strong id="mrs_01_1858__b2220155954710">show grant</strong> command to view the table permission. The <strong id="mrs_01_1858__b88817722815">grantor</strong> column of the table <strong id="mrs_01_1858__b5120111218289">owner</strong> is displayed as user <strong id="mrs_01_1858__b952818232285">hive</strong>. If the Ranger page is used or the <strong id="mrs_01_1858__b1330535203019">grant</strong> command is used to grant permissions in the background, the <strong id="mrs_01_1858__b162647171312">grantor</strong> column is displayed as the corresponding user. To view the result of using the Hive permission plug-in, set <strong id="mrs_01_1858__b1282510548316">hive-ext.ranger.previous.privileges.enable</strong> to <strong id="mrs_01_1858__b129521053214">true</strong> and run the <strong id="mrs_01_1858__b97690816324">show grant</strong> command.</li></ul>
+</div></div>
+</p></li><li id="mrs_01_1858__li18337132412418"><span>Click <strong id="mrs_01_1858__b111127431185">Add</strong> to view the basic information about the policy in the policy list. After the policy takes effect, check whether the related permissions are normal.</span><p><p id="mrs_01_1858__en-us_topic_0241932507_p63219632216">To disable a policy, click <span><img id="mrs_01_1858__en-us_topic_0241932507_image1876104732217" src="en-us_image_0000001349289353.png"></span> to edit the policy and set the policy to <strong id="mrs_01_1858__b776815015815">Disabled</strong>.</p>
+<p id="mrs_01_1858__en-us_topic_0241932507_p1156483182316">If a policy is no longer used, click <span><img id="mrs_01_1858__en-us_topic_0241932507_image79841567249" src="en-us_image_0000001296090044.png"></span> to delete it.</p>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_1858__section13736165383316"><h4 class="sectiontitle">Hive Data Masking</h4><p id="mrs_01_1858__p3789205973315">Ranger supports data masking for Hive data. It can process the returned result of the <strong id="mrs_01_1858__b12566161611918">select</strong> operation you performed to mask sensitive information.</p>
+<ol id="mrs_01_1858__ol14761626161412"><li id="mrs_01_1858__li7576119125116"><span>Log in to the Ranger web UI. Click <strong id="mrs_01_1858__b142742026194418">Hive</strong> in the <strong id="mrs_01_1858__b12741264447">HADOOP SQL</strong> area on the homepage.</span><p><p id="mrs_01_1858__p198917341483"><span><img id="mrs_01_1858__image898917342816" src="en-us_image_0000001439293525.png"></span></p>
+</p></li><li id="mrs_01_1858__li176626161415"><span>On the <strong id="mrs_01_1858__b143831430141210">Masking</strong> tab page, click <strong id="mrs_01_1858__b15384113031218">Add New Policy</strong> to add a Hive permission control policy.</span><p><p id="mrs_01_1858__p18391550103514"><span><img id="mrs_01_1858__image103975033517" src="en-us_image_0000001295770260.png"></span></p>
+</p></li><li id="mrs_01_1858__li6626120121517"><span>Configure the parameters listed in the table below based on the service demands.</span><p>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1858__table1491812011519" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Hive data masking parameters</caption><thead align="left"><tr id="mrs_01_1858__row3918520101513"><th align="left" class="cellrowborder" valign="top" width="22.45%" id="mcps1.3.4.3.3.2.1.2.3.1.1"><p id="mrs_01_1858__p1391862041510">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="77.55%" id="mcps1.3.4.3.3.2.1.2.3.1.2"><p id="mrs_01_1858__p20918202018155">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1858__row1991814204152"><td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.4.3.3.2.1.2.3.1.1 "><p id="mrs_01_1858__p2918132081514">Policy Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.55%" headers="mcps1.3.4.3.3.2.1.2.3.1.2 "><p id="mrs_01_1858__p5255520152515">Policy name, which can be customized and must be unique in the service.</p>
+</td>
+</tr>
+<tr id="mrs_01_1858__row19999103832616"><td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.4.3.3.2.1.2.3.1.1 "><p id="mrs_01_1858__p20003992615">Policy Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.55%" headers="mcps1.3.4.3.3.2.1.2.3.1.2 "><p id="mrs_01_1858__p3577427104515">IP address filtering policy, which can be customized. You can enter one or more IP addresses or IP address segments. The IP address can contain the wildcard character (*), for example, <strong id="mrs_01_1858__b9982154191118">192.168.1.10</strong>, <strong id="mrs_01_1858__b79827414111">192.168.1.20</strong>, or <strong id="mrs_01_1858__b198216416118">192.168.1.*</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1858__row19412189191"><td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.4.3.3.2.1.2.3.1.1 "><p id="mrs_01_1858__p17135151110915">Policy Label</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.55%" headers="mcps1.3.4.3.3.2.1.2.3.1.2 "><p id="mrs_01_1858__p513517117917">A label specified for the current policy. You can search for reports and filter policies based on labels.</p>
+</td>
+</tr>
+<tr id="mrs_01_1858__row149181120191510"><td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.4.3.3.2.1.2.3.1.1 "><p id="mrs_01_1858__p1891982012151">Hive Database</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.55%" headers="mcps1.3.4.3.3.2.1.2.3.1.2 "><p id="mrs_01_1858__p1791982021512">Name of the Hive database to which the current policy applies.</p>
+</td>
+</tr>
+<tr id="mrs_01_1858__row1791952061519"><td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.4.3.3.2.1.2.3.1.1 "><p id="mrs_01_1858__p191920207151">Hive Table</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.55%" headers="mcps1.3.4.3.3.2.1.2.3.1.2 "><p id="mrs_01_1858__p6919192011151">Name of the Hive table to which the current policy applies.</p>
+</td>
+</tr>
+<tr id="mrs_01_1858__row19919120171511"><td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.4.3.3.2.1.2.3.1.1 "><p id="mrs_01_1858__p89197208154">Hive Column</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.55%" headers="mcps1.3.4.3.3.2.1.2.3.1.2 "><p id="mrs_01_1858__p18919720111520">Column name.</p>
+</td>
+</tr>
+<tr id="mrs_01_1858__row15781105116259"><td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.4.3.3.2.1.2.3.1.1 "><p id="mrs_01_1858__p6553553192517">Description</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.55%" headers="mcps1.3.4.3.3.2.1.2.3.1.2 "><p id="mrs_01_1858__p75531053202512">Policy description.</p>
+</td>
+</tr>
+<tr id="mrs_01_1858__row391952071518"><td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.4.3.3.2.1.2.3.1.1 "><p id="mrs_01_1858__p255305315254">Audit Logging</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.55%" headers="mcps1.3.4.3.3.2.1.2.3.1.2 "><p id="mrs_01_1858__p175531753112510">Whether to audit the policy.</p>
+</td>
+</tr>
+<tr id="mrs_01_1858__row9919192017152"><td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.4.3.3.2.1.2.3.1.1 "><p id="mrs_01_1858__p1691914209154">Mask Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.55%" headers="mcps1.3.4.3.3.2.1.2.3.1.2 "><p id="mrs_01_1858__p20919320131514">In the <strong id="mrs_01_1858__b572694711116">Select Role</strong>, <strong id="mrs_01_1858__b6730124731118">Select Group</strong>, and <strong id="mrs_01_1858__b107314478112">Select User</strong> columns, select the object to which the permission is to be granted, click <strong id="mrs_01_1858__b9731174720117">Add Conditions</strong>, add the IP address range to which the policy applies, then click <strong id="mrs_01_1858__b473119472118">Add Permissions</strong>, and select <strong id="mrs_01_1858__b913115598124">select</strong>.</p>
+<p id="mrs_01_1858__p699541513175">Click <strong id="mrs_01_1858__b9803733227">Select Masking Option</strong> and select a data masking policy.</p>
+<ul id="mrs_01_1858__ul16919420131516"><li id="mrs_01_1858__li69191820181516">Redact: Use <strong id="mrs_01_1858__b14801012142211">x</strong> to mask all letters and <strong id="mrs_01_1858__b108616122227">n</strong> to mask all digits.</li><li id="mrs_01_1858__li17919182071514">Partial mask: show last 4: Only the last four characters are displayed, and the rest characters are displayed using <strong id="mrs_01_1858__b1357115251223">x</strong>.</li><li id="mrs_01_1858__li2919192091520">Partial mask: show first 4: Only the first four characters are displayed, and the rest characters are displayed using <strong id="mrs_01_1858__b1090154710239">x</strong>.</li><li id="mrs_01_1858__li591922019159">Hash: Replace the original value with the hash value. The Hive built-in function <strong id="mrs_01_1858__b2038553905413">mask_hash</strong> is used. This is valid only for fields of the string, character, and varchar types. NULL is returned for fields of other types.</li><li id="mrs_01_1858__li18919192013156">Nullify: Replace the original value with the NULL value.</li><li id="mrs_01_1858__li39190202151">Unmasked (retain original value): Keep the original value.</li><li id="mrs_01_1858__li16919820151510">Date: show only year: Only the year part of the date string is displayed, and the default month and date start from January and Monday (<strong id="mrs_01_1858__b17445161612717">01/01</strong>).</li><li id="mrs_01_1858__li13919182021516">Custom: You customize policies using any valid return data type which is the same as the data type in the masked column.</li></ul>
+<p id="mrs_01_1858__p17919420191510">To add a multi-column masking policy, click <span><img id="mrs_01_1858__image139191520151519" src="en-us_image_0000001349169785.png"></span>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_1858__li215401516232"><span>Click <strong id="mrs_01_1858__b5205165862718">Add</strong> to view the basic information about the policy in the policy list.</span></li><li id="mrs_01_1858__li2246435202617"><span>After you perform the <strong id="mrs_01_1858__b166662162815">select</strong> operation on a table configured with a data masking policy on the Hive client, the system processes and displays the data.</span><p><div class="note" id="mrs_01_1858__note1065810397274"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1858__p9658439142714">To process data, you must have the permission to submit tasks to the Yarn queue.</p>
+</div></div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_1858__section33651529649"><h4 class="sectiontitle">Hive Row-Level Data Filtering</h4><p id="mrs_01_1858__p1631710378412">Ranger allows you to filter data at the row level when you perform the <strong id="mrs_01_1858__b523922813283">select</strong> operation on Hive data tables.</p>
+<ol id="mrs_01_1858__ol147024123710"><li id="mrs_01_1858__li1170251218717"><span>Log in to the Ranger web UI. Click <strong id="mrs_01_1858__b14839205161615">Hive</strong> in the <strong id="mrs_01_1858__b12840659166">HADOOP SQL</strong> area on the homepage.</span></li><li id="mrs_01_1858__li370281216712"><span>On the <strong id="mrs_01_1858__b486213619282">Row Level Filter</strong> tab page, click <strong id="mrs_01_1858__b1686818361288">Add New Policy</strong> to add a row data filtering policy.</span><p><p id="mrs_01_1858__p112741641163416"><span><img id="mrs_01_1858__image10274104110340" src="en-us_image_0000001349289365.png"></span></p>
+</p></li><li id="mrs_01_1858__li6702171214720"><span>Configure the parameters listed in the table below based on the service demands.</span><p>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1858__table1702201213710" frame="border" border="1" rules="all"><caption><b>Table 4 </b>Parameters for filtering Hive row data</caption><thead align="left"><tr id="mrs_01_1858__row1470213121177"><th align="left" class="cellrowborder" valign="top" width="22.45%" id="mcps1.3.5.3.3.2.1.2.3.1.1"><p id="mrs_01_1858__p670217121076">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="77.55%" id="mcps1.3.5.3.3.2.1.2.3.1.2"><p id="mrs_01_1858__p87021612578">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1858__row0702212776"><td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.5.3.3.2.1.2.3.1.1 "><p id="mrs_01_1858__p107024123717">Policy Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.55%" headers="mcps1.3.5.3.3.2.1.2.3.1.2 "><p id="mrs_01_1858__p20703912179">Policy name, which can be customized and must be unique in the service.</p>
+</td>
+</tr>
+<tr id="mrs_01_1858__row89251570400"><td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.5.3.3.2.1.2.3.1.1 "><p id="mrs_01_1858__p119259713409">Policy Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.55%" headers="mcps1.3.5.3.3.2.1.2.3.1.2 "><p id="mrs_01_1858__p1925672408">IP address filtering policy, which can be customized. You can enter one or more IP addresses or IP address segments. The IP address can contain the wildcard character (*), for example, <strong id="mrs_01_1858__b1592217489111">192.168.1.10</strong>, <strong id="mrs_01_1858__b1192334891110">192.168.1.20</strong>, or <strong id="mrs_01_1858__b492317481114">192.168.1.*</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1858__row13855184111911"><td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.5.3.3.2.1.2.3.1.1 "><p id="mrs_01_1858__p1770311427911">Policy Label</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.55%" headers="mcps1.3.5.3.3.2.1.2.3.1.2 "><p id="mrs_01_1858__p12703144211912">A label specified for the current policy. You can search for reports and filter policies based on labels.</p>
+</td>
+</tr>
+<tr id="mrs_01_1858__row1870313121875"><td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.5.3.3.2.1.2.3.1.1 "><p id="mrs_01_1858__p67038121179">Hive Database</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.55%" headers="mcps1.3.5.3.3.2.1.2.3.1.2 "><p id="mrs_01_1858__p1070312121374">Name of the Hive database to which the current policy applies.</p>
+</td>
+</tr>
+<tr id="mrs_01_1858__row1870310124719"><td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.5.3.3.2.1.2.3.1.1 "><p id="mrs_01_1858__p5703212976">Hive Table</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.55%" headers="mcps1.3.5.3.3.2.1.2.3.1.2 "><p id="mrs_01_1858__p15703512375">Name of the Hive table to which the current policy applies.</p>
+</td>
+</tr>
+<tr id="mrs_01_1858__row6703121211712"><td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.5.3.3.2.1.2.3.1.1 "><p id="mrs_01_1858__p5703191217719">Description</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.55%" headers="mcps1.3.5.3.3.2.1.2.3.1.2 "><p id="mrs_01_1858__p37036121574">Policy description.</p>
+</td>
+</tr>
+<tr id="mrs_01_1858__row1470315123717"><td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.5.3.3.2.1.2.3.1.1 "><p id="mrs_01_1858__p1670319122072">Audit Logging</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.55%" headers="mcps1.3.5.3.3.2.1.2.3.1.2 "><p id="mrs_01_1858__p1670312128718">Whether to audit the policy.</p>
+</td>
+</tr>
+<tr id="mrs_01_1858__row12703912273"><td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.5.3.3.2.1.2.3.1.1 "><p id="mrs_01_1858__p127039121176">Row Filter Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.55%" headers="mcps1.3.5.3.3.2.1.2.3.1.2 "><p id="mrs_01_1858__p1670316121671">In the <strong id="mrs_01_1858__b950517613133">Select Role</strong>, <strong id="mrs_01_1858__b950611611317">Select Group</strong>, and <strong id="mrs_01_1858__b2506765137">Select User</strong> columns, select the object to which the permission is to be granted, click <strong id="mrs_01_1858__b05061618134">Add Conditions</strong>, add the IP address range to which the policy applies, then click <strong id="mrs_01_1858__b1650714616139">Add Permissions</strong>, and select <strong id="mrs_01_1858__b2507862137">Select</strong>.</p>
+<p id="mrs_01_1858__p270391213720">Click <strong id="mrs_01_1858__b4240165173310">Row Level Filter</strong> and enter data filtering rules.</p>
+<p id="mrs_01_1858__p10682174391411">For example, if you want to filter the data in the <strong id="mrs_01_1858__b1653113717338">zhangsan</strong> row in the <strong id="mrs_01_1858__b15361077330">name</strong> column of <strong id="mrs_01_1858__b253616713334">table A</strong>, the filtering rule is <strong id="mrs_01_1858__b6536273339">name &lt;&gt;'zhangsan'</strong>. For more information, see the official Ranger document.</p>
+<p id="mrs_01_1858__p2070316121671">To add more rules, click <span><img id="mrs_01_1858__image11703141212710" src="en-us_image_0000001349089893.png"></span>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_1858__li2703212975"><span>Click <strong id="mrs_01_1858__b047783863313">Add</strong> to view the basic information about the policy in the policy list.</span></li><li id="mrs_01_1858__li6703181214713"><span>After you perform the <strong id="mrs_01_1858__b4306184711331">select</strong> operation on a table configured with a data masking policy on the Hive client, the system processes and displays the data.</span><p><div class="note" id="mrs_01_1858__note1870314122076"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1858__p137031512475">To process data, you must have the permission to submit tasks to the Yarn queue.</p>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1849.html">Using Ranger (MRS 3.x)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1859.html b/docs/mrs/component-operation-guide/mrs_01_1859.html
new file mode 100644
index 000000000..ce65180ab
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1859.html
@@ -0,0 +1,111 @@
+<a name="mrs_01_1859"></a><a name="mrs_01_1859"></a>
+
+<h1 class="topictitle1">Adding a Ranger Access Permission Policy for Yarn</h1>
+<div id="body1595917969961"><div class="section" id="mrs_01_1859__section1861148182711"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1859__p757895715271">The <span id="mrs_01_1859__ph1389213457234">Ranger</span><span id="mrs_01_1859__ph733184682310"> </span>administrator can use Ranger to configure Yarn administrator permissions for Yarn users, allowing them to manage Yarn queue resources.</p>
+</div>
+<div class="section" id="mrs_01_1859__section11493172153315"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1859__ul5357197143515"><li id="mrs_01_1859__li735717193519">The Ranger service has been installed and is running properly.</li><li id="mrs_01_1859__li19563173342811">You have created users, user groups, or roles for which you want to configure permissions.</li></ul>
+</div>
+<div class="section" id="mrs_01_1859__section747294016257"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1859__ol1065893219380"><li id="mrs_01_1859__li13147231112419"><span>Log in to the Ranger management page.</span></li><li id="mrs_01_1859__li18658932173820"><span>On the home page, click the component plug-in name in the <strong id="mrs_01_1859__b1813318333219">YARN</strong> area, for example, <strong id="mrs_01_1859__b1313811313322">Yarn</strong>.</span></li><li id="mrs_01_1859__li1955384410387"><span>Click <strong id="mrs_01_1859__b078865193216">Add New Policy</strong> to add a Yarn permission control policy.</span></li><li id="mrs_01_1859__li139634483403"><span>Configure the parameters listed in the table below based on the service demands.</span><p>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1859__table4469841184115" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Yarn permission parameters</caption><thead align="left"><tr id="mrs_01_1859__row2469841104115"><th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.3.2.4.2.1.2.3.1.1"><p id="mrs_01_1859__p846954194111">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="80%" id="mcps1.3.3.2.4.2.1.2.3.1.2"><p id="mrs_01_1859__p1346904194117">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1859__row1469174110419"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1859__p1469114120417">Policy Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="80%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1859__p1920572416251">Policy name, which can be customized and must be unique in the service.</p>
+</td>
+</tr>
+<tr id="mrs_01_1859__row8934105744517"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1859__p119259713409">Policy Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="80%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1859__p9935105714451">IP address filtering policy, which can be customized. You can enter one or more IP addresses or IP address segments. The IP address can contain the wildcard character (*), for example, <strong id="mrs_01_1859__b12699152431314">192.168.1.10</strong>,<strong id="mrs_01_1859__b19699102491313">192.168.1.20</strong>, or <strong id="mrs_01_1859__b16699102481316">192.168.1.*</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1859__row58471251202419"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1859__p196910112228">Policy Label</p>
+</td>
+<td class="cellrowborder" valign="top" width="80%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1859__p5695112225">A label specified for the current policy. You can search for reports and filter policies based on labels.</p>
+</td>
+</tr>
+<tr id="mrs_01_1859__row104697417417"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1859__p1598819376474">Queue</p>
+</td>
+<td class="cellrowborder" valign="top" width="80%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1859__p371393301720">Queue name. The wildcard (*) is supported.</p>
+<p id="mrs_01_1859__p1163519584118">To enable a sub-queue to inherit the permission of its upper-level queue, enable the recursion function.</p>
+<ul id="mrs_01_1859__ul18956181511313"><li id="mrs_01_1859__li1395613151438"><strong id="mrs_01_1859__b0214113572019">Non-recursive</strong>: recursion disabled</li><li id="mrs_01_1859__li142609275313"><strong id="mrs_01_1859__b162111426208">Recursive</strong>: recursion enabled</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_1859__row1544711577252"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1859__p15697173210192">Description</p>
+</td>
+<td class="cellrowborder" valign="top" width="80%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1859__p1869773261914">Policy description.</p>
+</td>
+</tr>
+<tr id="mrs_01_1859__row12469141164113"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1859__p898812379471">Audit Logging</p>
+</td>
+<td class="cellrowborder" valign="top" width="80%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1859__p18988437174719">Whether to audit the policy.</p>
+</td>
+</tr>
+<tr id="mrs_01_1859__row29973720471"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1859__p11995376471">Allow Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="80%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1859__p18991137164717">Policy allowed condition. You can configure permissions and exceptions allowed by the policy.</p>
+<p id="mrs_01_1859__p1819113143111">In the <strong id="mrs_01_1859__b12701326121320">Select Role</strong>, <strong id="mrs_01_1859__b197022601315">Select Group</strong>, and <strong id="mrs_01_1859__b11708263136">Select User</strong> columns, select the role, user group, or user to which the permission is to be granted, click <strong id="mrs_01_1859__b19713264136">Add Conditions</strong>, add the IP address range to which the policy applies, and click <strong id="mrs_01_1859__b171526201315">Add Permissions</strong> to add the corresponding permission.</p>
+<ul id="mrs_01_1859__ul183931610151418"><li id="mrs_01_1859__li2039341013144">submit-app: permission to submit queue tasks</li><li id="mrs_01_1859__li691217172146">admin-queue: permission to manage queue tasks</li><li id="mrs_01_1859__li1247541184312">Select/Deselect All: Select or deselect all.</li></ul>
+<p id="mrs_01_1859__p8404164411">If users or user groups in the current condition need to manage this policy, select <strong id="mrs_01_1859__b11787152219364">Delegate Admin</strong>. These users will become the agent administrators. The agent administrators can update and delete this policy and create sub-policies based on the original policy.</p>
+<p id="mrs_01_1859__p1455931125418">To add multiple permission control rules, click <span><img id="mrs_01_1859__image39121143141112" src="en-us_image_0000001296249680.png"></span>. To delete a permission control rule, click <span><img id="mrs_01_1859__image9311372338" src="en-us_image_0000001295930212.png"></span>.</p>
+<p id="mrs_01_1859__p830416219359">Exclude from Allow Conditions: policy exception conditions</p>
+</td>
+</tr>
+<tr id="mrs_01_1859__row16575436174"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1859__p18715135417554">Deny All Other Accesses</p>
+</td>
+<td class="cellrowborder" valign="top" width="80%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1859__p144192211564">Whether to reject all other access requests.</p>
+<ul id="mrs_01_1859__ul1869410255564"><li id="mrs_01_1859__li16941255562">True: All other access requests are rejected.</li><li id="mrs_01_1859__li1769402595615"><strong id="mrs_01_1859__b117741269219">False</strong>: <strong id="mrs_01_1859__b1477432622117">Deny Conditions</strong> can be configured.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_1859__row899937184718"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1859__p5991537154719">Deny Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="80%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1859__p1799337194719">Policy rejection condition, which is used to configure the permissions and exceptions to be denied in the policy. The configuration method is similar to that of <strong id="mrs_01_1859__b12774449153611">Allow Conditions</strong>. The priority of <strong id="mrs_01_1859__b712735617369">Deny Conditions</strong> is higher than that of allowed conditions configured in <strong id="mrs_01_1859__b213395615367">Allow Conditions</strong>.</p>
+<p id="mrs_01_1859__p10996114819815">Exclude from Deny Conditions: exception rules excluded from the denied conditions</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1859__t5453ec62e4fa409ab89e13e8c65f7f7b" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Setting permissions</caption><thead align="left"><tr id="mrs_01_1859__r1b483aabcac2421b9e5c5dd1cd737521"><th align="left" class="cellrowborder" valign="top" width="26.26%" id="mcps1.3.3.2.4.2.2.2.3.1.1"><p id="mrs_01_1859__a28a08feb938144c698eb23b16aa72258">Task</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="73.74000000000001%" id="mcps1.3.3.2.4.2.2.2.3.1.2"><p id="mrs_01_1859__ad444bcbe25e84f17a7ebe278a43a323f">Role Authorization</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1859__rb7a95f62aa9d4cc1bfbdf54340c3997d"><td class="cellrowborder" valign="top" width="26.26%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1859__ae0370d9982834c21bd3fd01d37e8e519">Setting the Yarn administrator permission</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.74000000000001%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1859__ol9811840103417"><li id="mrs_01_1859__li181731911404">On the home page, click the component plug-in name in the <strong id="mrs_01_1859__b10128637153811">YARN</strong> area, for example, <strong id="mrs_01_1859__b41471537143814">Yarn</strong>.</li><li id="mrs_01_1859__li13360163663816">Select the policy whose <strong id="mrs_01_1859__b59164387382">Policy Name</strong> is <strong id="mrs_01_1859__b1691723820381">all - queue</strong> and click <span><img id="mrs_01_1859__image262417334017" src="en-us_image_0000001296249684.png"></span> to edit the policy.</li><li id="mrs_01_1859__li1369322054013">In the <strong id="mrs_01_1859__b208971744113812">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1859__b189864423817">Select User</strong> drop-down list.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1859__r22bbd4ec3d1b4ad8b6bfc60fd3fc61e1"><td class="cellrowborder" valign="top" width="26.26%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1859__a1cdc441186674095ab125a083daa694d">Setting the permission for a user to submit tasks in a specified Yarn queue</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.74000000000001%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1859__o30e243cdf97449148c36d93dc1a03a37"><li id="mrs_01_1859__ld973a3178b874b2991a34724362edeaa">In <strong id="mrs_01_1859__b1292934711385">Queue</strong>, specify a queue name.</li><li id="mrs_01_1859__l90a887e837424d2e9d0e4edb5bc29030">In the <strong id="mrs_01_1859__b415717499384">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1859__b21592494383">Select User</strong> drop-down list.</li><li id="mrs_01_1859__la261edb792114984b435ac93df993a6c">Click <strong id="mrs_01_1859__b15741175153817">Add Permissions</strong> and select <strong id="mrs_01_1859__b17742175112383">submit-app</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1859__r3297e0a39f084a7ca7b97fda8d77b4f1"><td class="cellrowborder" valign="top" width="26.26%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1859__af0e7fec78a8d49c4ad2c94f35ff679f9">Setting the permission for a user to manage tasks in a specified Yarn queue</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.74000000000001%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1859__ob76d86eb5b2d489f9518f378477e71e1"><li id="mrs_01_1859__li12015397574">In <strong id="mrs_01_1859__b12455153816">Queue</strong>, specify a queue name.</li><li id="mrs_01_1859__li50173920570">In the <strong id="mrs_01_1859__b46066561385">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1859__b8608105643815">Select User</strong> drop-down list.</li><li id="mrs_01_1859__li170103912577">Click <strong id="mrs_01_1859__b1383012581388">Add Permissions</strong> and select <strong id="mrs_01_1859__b683217585387">admin-queue</strong>.</li></ol>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_1859__li1597218316195"><span>(Optional) Add the validity period of the policy. Click <strong id="mrs_01_1859__b8937738134813">Add Validity period</strong> in the upper right corner of the page, set <strong id="mrs_01_1859__b12943133817482">Start Time</strong> and <strong id="mrs_01_1859__b199446385486">End Time</strong>, and select <strong id="mrs_01_1859__b0944638184820">Time Zone</strong>. Click <strong id="mrs_01_1859__b1557215345214">Save</strong>. To add multiple policy validity periods, click <span><img id="mrs_01_1859__en-us_topic_0241932507_image15741956174617" src="en-us_image_0000001349089885.png"></span>. To delete a policy validity period, click <span><img id="mrs_01_1859__en-us_topic_0241932507_image9741115619467" src="en-us_image_0000001295770248.png"></span>.</span></li><li id="mrs_01_1859__li18337132412418"><span>Click <strong id="mrs_01_1859__b37111843122413">Add</strong> to view the basic information about the policy in the policy list. After the policy takes effect, check whether the related permissions are normal.</span><p><p id="mrs_01_1859__en-us_topic_0241932507_p63219632216">To disable a policy, click <span><img id="mrs_01_1859__en-us_topic_0241932507_image1876104732217" src="en-us_image_0000001348770069.png"></span> to edit the policy and set the policy to <strong id="mrs_01_1859__b6357154192112">Disabled</strong>.</p>
+<p id="mrs_01_1859__en-us_topic_0241932507_p1156483182316">If a policy is no longer used, click <span><img id="mrs_01_1859__en-us_topic_0241932507_image79841567249" src="en-us_image_0000001295770252.png"></span> to delete it.</p>
+</p></li></ol>
+</div>
+<div class="note" id="mrs_01_1859__n768c024de71e4be5a7ca11d780550475"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="textintable" id="mrs_01_1859__aeaaa930f124b470ca0f6c4f62ddfea8f">The permissions on Ranger Yarn are independent of each other. There is inclusion relationship among the permissions. Currently, the following permissions are supported:</p>
+<ul id="mrs_01_1859__ul9651939795"><li id="mrs_01_1859__li9652123912915"><strong id="mrs_01_1859__b16389195214812">submit-app</strong>: permission to submit queue tasks</li><li id="mrs_01_1859__li865293917918"><strong id="mrs_01_1859__b179471855114812">admin-queue</strong>: permission to manage queue tasks</li></ul>
+<p id="mrs_01_1859__p1957813107103">Although the <strong id="mrs_01_1859__b10875150154918">admin-queue</strong> has the permission to submit tasks, it does not have the inclusion relationship with the <strong id="mrs_01_1859__b17913181244919">submit-app</strong> permission.</p>
+</div></div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1849.html">Using Ranger (MRS 3.x)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1860.html b/docs/mrs/component-operation-guide/mrs_01_1860.html
new file mode 100644
index 000000000..f533607ef
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1860.html
@@ -0,0 +1,286 @@
+<a name="mrs_01_1860"></a><a name="mrs_01_1860"></a>
+
+<h1 class="topictitle1">Adding a Ranger Access Permission Policy for Spark2x</h1>
+<div id="body1595917971925"><div class="section" id="mrs_01_1860__section1861148182711"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1860__p757895715271">The <span id="mrs_01_1860__ph1389213457234">Ranger</span><span id="mrs_01_1860__ph733184682310"> </span>administrator can use Ranger to set permissions for Spark2x users.</p>
+<div class="note" id="mrs_01_1860__note135446014445"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ol id="mrs_01_1860__ol49910317445"><li id="mrs_01_1860__li16497339193811">After Ranger authentication is enabled or disabled on Spark2x, you need to restart Spark2x.</li><li id="mrs_01_1860__li3991143174417">Download the client again or manually update the client configuration file <em id="mrs_01_1860__i17570192861912">Client installation directory</em><strong id="mrs_01_1860__b199783373192">/Spark2x/spark/conf/spark-defaults.conf</strong>.<p id="mrs_01_1860__p1799123184413">Enable Ranger: <strong id="mrs_01_1860__b2771105832514">spark.ranger.plugin.authorization.enable=true</strong></p>
+<p id="mrs_01_1860__p49911534441">Disable Ranger: <strong id="mrs_01_1860__b18895552122518">spark.ranger.plugin.authorization.enable=false</strong></p>
+</li><li id="mrs_01_1860__li149918316441">In Spark2x, spark-beeline (applications connected to JDBCServer) supports the Ranger IP address filtering policy (<strong id="mrs_01_1860__b179416167269">Policy Conditions</strong> in the Ranger permission policy), while spark-submit and spark-sql do not.</li></ol>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1860__section11493172153315"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1860__ul5357197143515"><li id="mrs_01_1860__li735717193519">The Ranger service has been installed and is running properly.</li><li id="mrs_01_1860__li167971451121816">The Ranger authentication function of the Hive service has been enabled. After the Hive service is restarted, the Spark2x service is restarted.</li><li id="mrs_01_1860__li19563173342811">You have created users, user groups, or roles for which you want to configure permissions.</li><li id="mrs_01_1860__li6117312131211">The created user has been added to the <strong id="mrs_01_1860__b14681174010409">hive</strong> user group.</li></ul>
+</div>
+<div class="section" id="mrs_01_1860__section747294016257"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1860__ol1065893219380"><li id="mrs_01_1860__li2701103575612"><span>Log in to the Ranger management page.</span></li><li id="mrs_01_1860__li18658932173820"><span>On the home page, click the component plug-in name in the <strong id="mrs_01_1860__b18509133918238">HADOOP SQL</strong> area, for example, <strong id="mrs_01_1860__b95154392230">Hive</strong>.</span><p><p id="mrs_01_1860__p33809015393"><span><img id="mrs_01_1860__image13898239408" src="en-us_image_0000001387880686.png"></span></p>
+</p></li><li id="mrs_01_1860__li1955384410387"><span>On the <strong id="mrs_01_1860__b177311333173815">Access</strong> tab page, click <strong id="mrs_01_1860__b573253310389">Add New Policy</strong> to add a Spark2x permission control policy.</span><p><p id="mrs_01_1860__p112122873710"><span><img id="mrs_01_1860__image31217284377" src="en-us_image_0000001348770077.png"></span></p>
+</p></li><li id="mrs_01_1860__li139634483403"><span>Configure the parameters listed in the table below based on the service demands.</span><p>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1860__table4469841184115" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Spark2x permission parameters</caption><thead align="left"><tr id="mrs_01_1860__row2469841104115"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.3.2.4.2.1.2.3.1.1"><p id="mrs_01_1860__p846954194111">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="75%" id="mcps1.3.3.2.4.2.1.2.3.1.2"><p id="mrs_01_1860__p1346904194117">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1860__row1469174110419"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1860__p1469114120417">Policy Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1860__p1170216351566">Policy name, which can be customized and must be unique in the service.</p>
+</td>
+</tr>
+<tr id="mrs_01_1860__row18961122118483"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1860__p119259713409">Policy Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1860__p9935105714451">IP address filtering policy, which can be customized. You can enter one or more IP addresses or IP address segments. The IP address can contain the wildcard character (*), for example, <strong id="mrs_01_1860__b128202323138">192.168.1.10</strong>,<strong id="mrs_01_1860__b78251132191319">192.168.1.20</strong>, or <strong id="mrs_01_1860__b10825632171315">192.168.1.*</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1860__row9702113515617"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1860__p196910112228">Policy Label</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1860__p5695112225">A label specified for the current policy. You can search for reports and filter policies based on labels.</p>
+</td>
+</tr>
+<tr id="mrs_01_1860__row104697417417"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1860__p1598819376474">database</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1860__p549418517525">Name of the Spark2x database to which the policy applies.</p>
+<p id="mrs_01_1860__p27021335115617">The <span class="parmname" id="mrs_01_1860__parmname577284117237"><b>Include</b></span> policy applies to the current input object, and the <span class="parmname" id="mrs_01_1860__parmname10773041172314"><b>Exclude</b></span> policy applies to objects other than the current input object.</p>
+</td>
+</tr>
+<tr id="mrs_01_1860__row1470233555620"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1860__p157028356562">table</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1860__p670293585615">Name of the Spark2x table to which the policy applies.</p>
+<p id="mrs_01_1860__p3702183595616">To add a UDF-based policy, switch to UDF and enter the UDF name.</p>
+<p id="mrs_01_1860__p1270243517563">The <span class="parmname" id="mrs_01_1860__parmname67361143152311"><b>Include</b></span> policy applies to the current input object, and the <span class="parmname" id="mrs_01_1860__parmname18736194342310"><b>Exclude</b></span> policy applies to objects other than the current input object.</p>
+</td>
+</tr>
+<tr id="mrs_01_1860__row570273515615"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1860__p127021735135611">column</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1860__p127021035155616">Name of the column to which the policy applies. The value <strong id="mrs_01_1860__b18824142293918">*</strong> indicates all columns.</p>
+<p id="mrs_01_1860__p207020354568">The <span class="parmname" id="mrs_01_1860__parmname11605104614231"><b>Include</b></span> policy applies to the current input object, and the <span class="parmname" id="mrs_01_1860__parmname661144615237"><b>Exclude</b></span> policy applies to objects other than the current input object.</p>
+</td>
+</tr>
+<tr id="mrs_01_1860__row270323565619"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1860__p15697173210192">Description</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1860__p1869773261914">Policy description.</p>
+</td>
+</tr>
+<tr id="mrs_01_1860__row12469141164113"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1860__p898812379471">Audit Logging</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1860__p18988437174719">Whether to audit the policy.</p>
+</td>
+</tr>
+<tr id="mrs_01_1860__row29973720471"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1860__p11995376471">Allow Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1860__p18991137164717">Policy allowed condition. You can configure permissions and exceptions allowed by the policy.</p>
+<p id="mrs_01_1860__p1819113143111">In the <strong id="mrs_01_1860__b6118113412138">Select Role</strong>, <strong id="mrs_01_1860__b14118534151311">Select Group</strong>, and <strong id="mrs_01_1860__b17119143441318">Select User</strong> columns, select the role, user group, or user to which the permission is to be granted, click <strong id="mrs_01_1860__b14119163451310">Add Conditions</strong>, add the IP address range to which the policy applies, and click <strong id="mrs_01_1860__b611943420130">Add Permissions</strong> to add the corresponding permission.</p>
+<ul id="mrs_01_1860__ul183931610151418"><li id="mrs_01_1860__li2039341013144">select: permission to query data</li><li id="mrs_01_1860__li570323505611">update: permission to update data</li><li id="mrs_01_1860__li4703143512560">Create: permission to create data</li><li id="mrs_01_1860__li9703235135618">Drop: permission to drop data</li><li id="mrs_01_1860__li7703435185617">Alter: permission to alter data</li><li id="mrs_01_1860__li9703133505619">Index: permission to index data</li><li id="mrs_01_1860__li1470313513561">All: all permissions</li><li id="mrs_01_1860__li4703133510562">Read: permission to read data</li><li id="mrs_01_1860__li11703535185616">Write: permission to write data</li><li id="mrs_01_1860__li5703173555620">Temporary UDF Admin: temporary UDF management permission</li><li id="mrs_01_1860__li177031835195611">Select/Deselect All: Select or deselect all.</li></ul>
+<p id="mrs_01_1860__p1470310353569">To add multiple permission control rules, click <span><img id="mrs_01_1860__image341133521514" src="en-us_image_0000001295930220.png"></span>.</p>
+<p id="mrs_01_1860__p8404164411">If users or user groups in the current condition need to manage this policy, select <strong id="mrs_01_1860__b1534442419420">Delegate Admin</strong>. These users will become the agent administrators. The agent administrators can update and delete this policy and create sub-policies based on the original policy.</p>
+</td>
+</tr>
+<tr id="mrs_01_1860__row899937184718"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1860__p5991537154719">Deny Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="75%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1860__p1799337194719">Policy rejection condition, which is used to configure the permissions and exceptions to be denied in the policy. The configuration method is similar to that of <strong id="mrs_01_1860__b1488724174212">Allow Conditions</strong>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1860__t407ce486d4824c69ba125f7c1be82b9b" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Setting permissions</caption><thead align="left"><tr id="mrs_01_1860__r8970570f5e404ff3b4e26f1ec887b626"><th align="left" class="cellrowborder" valign="top" width="29.520000000000003%" id="mcps1.3.3.2.4.2.2.2.3.1.1"><p id="mrs_01_1860__a966f96441ec341ab81e25cd71592239c">Task</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="70.48%" id="mcps1.3.3.2.4.2.2.2.3.1.2"><p id="mrs_01_1860__a32ca2f2b7e424d8480ede0da91c11ded">Operation</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1860__r37ebca35241b4cae98114fef8e98c8dc"><td class="cellrowborder" valign="top" width="29.520000000000003%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1860__af314c609654c4df69886c974332dfe3d"><strong id="mrs_01_1860__b35201150154217">role admin</strong> operation</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.48%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1860__ol832433933118"><li id="mrs_01_1860__li5552134783210">On the home page, click <strong id="mrs_01_1860__b15945185174216">Settings</strong> and choose <strong id="mrs_01_1860__b18946185110422">Roles</strong> &gt; <strong id="mrs_01_1860__b1994615118427">Add New Role</strong>.</li><li id="mrs_01_1860__li12406174318318">Set <strong id="mrs_01_1860__b5991205214427">Role Name</strong> to <strong id="mrs_01_1860__b1599165210425">admin</strong>. In the <strong id="mrs_01_1860__b499155284214">Users</strong> area, click <strong id="mrs_01_1860__b29916524422">Select User</strong> and select a username.</li><li id="mrs_01_1860__li11324133923115">Click <strong id="mrs_01_1860__b1838453174219">Add Users</strong>, select <strong id="mrs_01_1860__b17838153194211">Is Role Admin</strong> in the row where the username is located, and click <strong id="mrs_01_1860__b1783815317429">Save</strong>.</li></ol>
+<div class="note" id="mrs_01_1860__n768c024de71e4be5a7ca11d780550475"><span class="notetitle"> NOTE: </span><div class="notebody"><p class="textintable" id="mrs_01_1860__aeaaa930f124b470ca0f6c4f62ddfea8f">After being bound to the Hive administrator role, perform the following operations during each maintenance operation:</p>
+<ol type="a" id="mrs_01_1860__o22025688792147a69a4b441a2e159ca0"><li id="mrs_01_1860__l3ec30b72298549d2b374d9add384655d">Log in to the node where the Hive client is installed as the client installation user.</li><li id="mrs_01_1860__l53e519f4f75e40b097f9a24dc70486d0">Run the following command to configure environment variables:<p class="litext" id="mrs_01_1860__a7cb143b430624aed9fcb7f62f733aa51"><a name="mrs_01_1860__l53e519f4f75e40b097f9a24dc70486d0"></a><a name="l53e519f4f75e40b097f9a24dc70486d0"></a>For example, if the Spark2x client installation directory is <strong id="mrs_01_1860__b753216276434">/opt/client</strong>, run <strong id="mrs_01_1860__b1553816275436">source /opt/client/bigdata_env</strong>.</p>
+</li><li id="mrs_01_1860__l1a40354ae9674d0da669b4fc35cc918e">Run the following command to perform user authentication:<p class="litext" id="mrs_01_1860__a48755538b3d44de38791df7ed368ab85"><a name="mrs_01_1860__l1a40354ae9674d0da669b4fc35cc918e"></a><a name="l1a40354ae9674d0da669b4fc35cc918e"></a><strong id="mrs_01_1860__b9776234411">kinit Spark2x</strong><em id="mrs_01_1860__i128352114415">Service user</em></p>
+</li><li id="mrs_01_1860__l68bc41f3262f4d78852dae085cb4dd1c">Run the following command to log in to the client tool:<p class="litext" id="mrs_01_1860__a3b73ca536c184361b13af264c16b1c1d"><a name="mrs_01_1860__l68bc41f3262f4d78852dae085cb4dd1c"></a><a name="l68bc41f3262f4d78852dae085cb4dd1c"></a><strong id="mrs_01_1860__aa1e3a7d17715434ea08b2578a5591503">spark-beeline</strong></p>
+</li><li id="mrs_01_1860__le84ff71b118b4a48a9f24cbab9188f94">Run the following command to update the administrator permissions:<p id="mrs_01_1860__ac94d0dcac4814326b675097bfa097f1b"><a name="mrs_01_1860__le84ff71b118b4a48a9f24cbab9188f94"></a><a name="le84ff71b118b4a48a9f24cbab9188f94"></a><strong id="mrs_01_1860__a2707464e1e1147df8a1a6525470a5827">set role admin;</strong></p>
+</li></ol>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1860__r32ef203c8450407ba2e7daaad43e84b3"><td class="cellrowborder" valign="top" width="29.520000000000003%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1860__p15432216890">Creating a database table</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.48%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1860__o03ff4239c1dd418a8aac1901b1a42eaf"><li id="mrs_01_1860__ld973a3178b874b2991a34724362edeaa">Enter the policy name in <strong id="mrs_01_1860__b13355412194411">Policy Name</strong>.</li><li id="mrs_01_1860__li864518168382">Enter and select the corresponding database on the right of <strong id="mrs_01_1860__b11937174716142">database</strong>. (If you want to create a database, enter the name of the database to be created or enter <strong id="mrs_01_1860__b17856125817145">*</strong> to indicate a database with any name, and then select the name.) Enter and select the corresponding table name on the right of <strong id="mrs_01_1860__b11262122814165">table</strong> and <strong id="mrs_01_1860__b180103231617">column</strong>. Wildcard characters (*) are supported.</li><li id="mrs_01_1860__l90a887e837424d2e9d0e4edb5bc29030">In the <strong id="mrs_01_1860__b131808338441">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1860__b5181733204419">Select User</strong> drop-down list.</li><li id="mrs_01_1860__la261edb792114984b435ac93df993a6c">Click <strong id="mrs_01_1860__b108051934161716">Add Permissions</strong> and select <strong id="mrs_01_1860__b128101034101713">Create</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1860__rc691dab3ec894d229b3089f314930b46"><td class="cellrowborder" valign="top" width="29.520000000000003%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1860__a63c7fa067a2c482ba8938e1eb2b5329b">Deleting a table</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.48%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1860__oa035ad8e31e345b68862f21f259a443f"><li id="mrs_01_1860__li2315817144220">Enter the policy name in <strong id="mrs_01_1860__b6919735154416">Policy Name</strong>.</li><li id="mrs_01_1860__li193151917114210">Enter and select the corresponding database on the right of <strong id="mrs_01_1860__b79807475175">database</strong>. (If you want to delete a database, enter the name of the database to be created or enter <strong id="mrs_01_1860__b11981184718176">*</strong> to indicate a database with any name, and then select the name.) Enter and select the corresponding table name on the right of <strong id="mrs_01_1860__b19981144718175">table</strong> and <strong id="mrs_01_1860__b0982154713171">column</strong>. Wildcard characters (*) are supported.</li><li id="mrs_01_1860__li11315151764214">In the <strong id="mrs_01_1860__b209031539204416">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1860__b12908173934420">Select User</strong> drop-down list.</li><li id="mrs_01_1860__li113151617154217">Click <strong id="mrs_01_1860__b588554084415">Add Permissions</strong> and select <strong id="mrs_01_1860__b1886440124420">Drop</strong>.<div class="note" id="mrs_01_1860__note6306952115115"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1860__p103071752105113">For CarbonData tables, only the owner of the corresponding database or table can perform the <strong id="mrs_01_1860__b18764141104414">drop</strong> operation.</p>
+</div></div>
+</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1860__racaeeea562d449f6973523ddc07996a0"><td class="cellrowborder" valign="top" width="29.520000000000003%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1860__a8efa8e2e06224b16826141db91790a14"><strong id="mrs_01_1860__b62864614113">ALTER</strong> operation</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.48%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1860__o1781c8d0839d4117be5170cc4f1f0ec5"><li id="mrs_01_1860__li1353313215430">Enter the policy name in <strong id="mrs_01_1860__b8184154454414">Policy Name</strong>.</li><li id="mrs_01_1860__li15339328431">Enter and select the corresponding database on the right of <strong id="mrs_01_1860__b17502124616189">database</strong>, enter and select the corresponding table on the right of <strong id="mrs_01_1860__b1214115501811">table</strong>, and enter and select the corresponding column name on the right of <strong id="mrs_01_1860__b1686611213199">column</strong>. Wildcard characters (*) are supported.</li><li id="mrs_01_1860__li105332032164312">In the <strong id="mrs_01_1860__b1964512477445">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1860__b46451847134414">Select User</strong> drop-down list.</li><li id="mrs_01_1860__li12533163215437">Click <strong id="mrs_01_1860__b51111049114417">Add Permissions</strong> and select <strong id="mrs_01_1860__b2112164984415">Alter</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1860__redd589ffe6e7438aa2462b39d1caae46"><td class="cellrowborder" valign="top" width="29.520000000000003%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1860__a8cfcb2ad226748ba963e1a8cedcc5e63"><strong id="mrs_01_1860__b12795020441">LOAD</strong> operation</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.48%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1860__o3001b283aedf4d219d8470bcae96c133"><li id="mrs_01_1860__li6370130114411">Enter the policy name in <strong id="mrs_01_1860__b122211151124412">Policy Name</strong>.</li><li id="mrs_01_1860__li1837083016449">Enter and select the corresponding database on the right of <strong id="mrs_01_1860__b365161417195">database</strong>, enter and select the corresponding table on the right of <strong id="mrs_01_1860__b1658149196">table</strong>, and enter and select the corresponding column name on the right of <strong id="mrs_01_1860__b14662014151918">column</strong>. Wildcard characters (*) are supported.</li><li id="mrs_01_1860__li9370630154420">In the <strong id="mrs_01_1860__b73633215454">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1860__b8368721458">Select User</strong> drop-down list.</li><li id="mrs_01_1860__li537043094418">Click <strong id="mrs_01_1860__b1850483194520">Add Permissions</strong> and select <strong id="mrs_01_1860__b1650413334515">update</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1860__row208461944104814"><td class="cellrowborder" valign="top" width="29.520000000000003%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1860__p6846244144814"><strong id="mrs_01_1860__b550412412452">INSERT</strong> operation</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.48%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1860__ol1943920278504"><li id="mrs_01_1860__li1768413178452">Enter the policy name in <strong id="mrs_01_1860__b1436111516451">Policy Name</strong>.</li><li id="mrs_01_1860__li1668431764510">Enter and select the corresponding database on the right of <strong id="mrs_01_1860__b1634911183919">database</strong>, enter and select the corresponding table on the right of <strong id="mrs_01_1860__b18356415395">table</strong>, and enter and select the corresponding column name on the right of <strong id="mrs_01_1860__b183572011399">column</strong>. Wildcard characters (*) are supported.</li><li id="mrs_01_1860__li11684191718454">In the <strong id="mrs_01_1860__b179651687452">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1860__b6965138104518">Select User</strong> drop-down list.</li><li id="mrs_01_1860__li136846177456">Click <strong id="mrs_01_1860__b19133151010452">Add Permissions</strong> and select <strong id="mrs_01_1860__b1133910134519">update</strong>.</li><li id="mrs_01_1860__li134102491743">The user also needs to have the <strong id="mrs_01_1860__b13294142716191">submit-app</strong> permission of the Yarn task queue. By default, the Hadoop user group has the <strong id="mrs_01_1860__b34631839171912">submit-app</strong> permission of all Yarn task queues. For details about how to load a network instance to a cloud connection, see <a href="mrs_01_1859.html">Adding a Ranger Access Permission Policy for Yarn</a>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1860__row18471749134810"><td class="cellrowborder" valign="top" width="29.520000000000003%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1860__p188473491486"><strong id="mrs_01_1860__b859992312450">GRANT</strong> operation</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.48%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1860__ol19483751105320"><li id="mrs_01_1860__li1268101913594">Enter the policy name in <strong id="mrs_01_1860__b782722414451">Policy Name</strong>.</li><li id="mrs_01_1860__li162694192596">Enter and select the corresponding database on the right of <strong id="mrs_01_1860__b18202545396">database</strong>, enter and select the corresponding table on the right of <strong id="mrs_01_1860__b020344143918">table</strong>, and enter and select the corresponding column name on the right of <strong id="mrs_01_1860__b320419423917">column</strong>. Wildcard characters (*) are supported.</li><li id="mrs_01_1860__li32691199592">In the <strong id="mrs_01_1860__b122497274455">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1860__b424911272457">Select User</strong> drop-down list.</li><li id="mrs_01_1860__li162695198593">Select <strong id="mrs_01_1860__b14115192815451">Delegate Admin</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1860__row5871155414815"><td class="cellrowborder" valign="top" width="29.520000000000003%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1860__p387195434818"><strong id="mrs_01_1860__b112521329144512">ADD JAR</strong> operation</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.48%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1860__ol10597126501"><li id="mrs_01_1860__li1752610295174">Enter the policy name in <strong id="mrs_01_1860__b347212307457">Policy Name</strong>.</li><li id="mrs_01_1860__li552612981710">Click <strong id="mrs_01_1860__b1443013117459">database</strong>, and select <strong id="mrs_01_1860__b54307316458">global</strong> from the drop-down list. On the right of <strong id="mrs_01_1860__b596112329451">global</strong>, enter related information and select <strong id="mrs_01_1860__b896173254512">*</strong>.</li><li id="mrs_01_1860__li12526129171713">In the <strong id="mrs_01_1860__b15845183318451">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1860__b284533324511">Select User</strong> drop-down list.</li><li id="mrs_01_1860__li185267299177">Click <strong id="mrs_01_1860__b7939195114286">Add Permissions</strong> and select <strong id="mrs_01_1860__b13944051102816">Temporary UDF Admin</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1860__row16378165814810"><td class="cellrowborder" valign="top" width="29.520000000000003%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1860__p1437835844819"><strong id="mrs_01_1860__b560033534515">VIEW</strong> and <strong id="mrs_01_1860__b14600435194518">INDEX</strong> permissions</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.48%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1860__ol9638145913412"><li id="mrs_01_1860__li26390594343">Enter the policy name in <strong id="mrs_01_1860__b5593143684513">Policy Name</strong>.</li><li id="mrs_01_1860__li163916596347">On the right side of <strong id="mrs_01_1860__b20523173754517">database</strong>, enter the database name and select the corresponding database. (If you want to delete a database, enter the database name and select <strong id="mrs_01_1860__b19523337134512">*</strong>.) On the right side of <strong id="mrs_01_1860__b1152453717452">table</strong>, enter a table name and select the view and index names. On the right side of <strong id="mrs_01_1860__b95245375459">column</strong>, enter a Hive column name, and select <strong id="mrs_01_1860__b2524737184515">*</strong>.</li><li id="mrs_01_1860__li1390813261377">In the <strong id="mrs_01_1860__b54421239194512">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1860__b7442193914518">Select User</strong> drop-down list.</li><li id="mrs_01_1860__li1390862613378">Click <strong id="mrs_01_1860__b839104018451">Add Permissions</strong> and select permissions for the user as required.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1860__row198956194913"><td class="cellrowborder" valign="top" width="29.520000000000003%" headers="mcps1.3.3.2.4.2.2.2.3.1.1 "><p id="mrs_01_1860__p1089513118499">Operations on other user database tables</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.48%" headers="mcps1.3.3.2.4.2.2.2.3.1.2 "><ol type="a" id="mrs_01_1860__ol760625883917"><li id="mrs_01_1860__li572424194017">Perform the preceding operations to add the corresponding permissions.</li><li id="mrs_01_1860__li15606145843912">Grant the read, write, and execution permissions on the HDFS paths of other user database tables to the current user. For details, see <a href="mrs_01_1856.html">Adding a Ranger Access Permission Policy for HDFS</a>.</li></ol>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_1860__note8604355182819"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1860__p144751648103412">After Spark SQL access policy is added on Ranger, you need to add the corresponding path access policies in the HDFS access policy. Otherwise, data files cannot be accessed. For details, see <a href="mrs_01_1856.html">Adding a Ranger Access Permission Policy for HDFS</a>.</p>
+<ul id="mrs_01_1860__ul18621716135016"><li id="mrs_01_1860__li1541362420379">The global policy in the Ranger policy is only used to associate with the <strong id="mrs_01_1860__b2464183822016">Temporary UDF Admin</strong> permission to control the upload of UDF packages.</li><li id="mrs_01_1860__li10867949155019">When Ranger is used to control Spark SQL permissions, the <strong id="mrs_01_1860__b149711447192018">empower</strong> syntax is not supported.</li></ul>
+</div></div>
+</p></li><li id="mrs_01_1860__li18337132412418"><span>Click <strong id="mrs_01_1860__b14850134017461">Add</strong> to view the basic information about the policy in the policy list. After the policy takes effect, check whether the related permissions are normal.</span><p><p id="mrs_01_1860__en-us_topic_0241932507_p63219632216">To disable a policy, click <span><img id="mrs_01_1860__en-us_topic_0241932507_image1876104732217" src="en-us_image_0000001296249696.png"></span> to edit the policy and set the policy to <strong id="mrs_01_1860__b10581591237">Disabled</strong>.</p>
+<p id="mrs_01_1860__en-us_topic_0241932507_p1156483182316">If a policy is no longer used, click <span><img id="mrs_01_1860__en-us_topic_0241932507_image79841567249" src="en-us_image_0000001296249692.png"></span> to delete it.</p>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_1860__section17703153511562"><h4 class="sectiontitle">Data Masking of the Spark2x Table</h4><p id="mrs_01_1860__p2703123565618">Ranger supports data masking for Spark2x data. It can process the returned result of the <strong id="mrs_01_1860__b1231211816472">select</strong> operation you performed to mask sensitive information.</p>
+<ol id="mrs_01_1860__ol4704143585618"><li id="mrs_01_1860__li4704835105615"><span>Log in to the Ranger WebUI and click the component plug-in name, for example, <strong id="mrs_01_1860__b11142415182118">Hive</strong>, in the <strong id="mrs_01_1860__b956522062111">HADOOP SQL</strong> area on the home page.</span></li><li id="mrs_01_1860__li117045355562"><span>On the <strong id="mrs_01_1860__b13522174712474">Masking</strong> tab page, click <strong id="mrs_01_1860__b10527164711476">Add New Policy</strong> to add a Spark2x permission control policy.</span></li><li id="mrs_01_1860__li47049353567"><span>Configure the parameters listed in the table below based on the service demands.</span><p>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1860__table1870453545613" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Spark2x data masking parameters</caption><thead align="left"><tr id="mrs_01_1860__row1370483505612"><th align="left" class="cellrowborder" valign="top" width="28.000000000000004%" id="mcps1.3.4.3.3.2.1.2.3.1.1"><p id="mrs_01_1860__p13704183565618">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="72%" id="mcps1.3.4.3.3.2.1.2.3.1.2"><p id="mrs_01_1860__p12704143525614">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1860__row8704143514567"><td class="cellrowborder" valign="top" width="28.000000000000004%" headers="mcps1.3.4.3.3.2.1.2.3.1.1 "><p id="mrs_01_1860__p370413575618">Policy Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="72%" headers="mcps1.3.4.3.3.2.1.2.3.1.2 "><p id="mrs_01_1860__p2704193505618">Policy name, which can be customized and must be unique in the service.</p>
+</td>
+</tr>
+<tr id="mrs_01_1860__row1403152910509"><td class="cellrowborder" valign="top" width="28.000000000000004%" headers="mcps1.3.4.3.3.2.1.2.3.1.1 "><p id="mrs_01_1860__p72831758185018">Policy Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="72%" headers="mcps1.3.4.3.3.2.1.2.3.1.2 "><p id="mrs_01_1860__p928320586504">IP address filtering policy, which can be customized. You can enter one or more IP addresses or IP address segments. The IP address can contain the wildcard character (*), for example, <strong id="mrs_01_1860__b13903103581318">192.168.1.10</strong>,<strong id="mrs_01_1860__b17903235121311">192.168.1.20</strong>, or <strong id="mrs_01_1860__b12903935191310">192.168.1.*</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1860__row1810064965310"><td class="cellrowborder" valign="top" width="28.000000000000004%" headers="mcps1.3.4.3.3.2.1.2.3.1.1 "><p id="mrs_01_1860__p191006490539">Policy Label</p>
+</td>
+<td class="cellrowborder" valign="top" width="72%" headers="mcps1.3.4.3.3.2.1.2.3.1.2 "><p id="mrs_01_1860__p1610004916533">A label specified for the current policy. You can search for reports and filter policies based on labels.</p>
+</td>
+</tr>
+<tr id="mrs_01_1860__row9704163516567"><td class="cellrowborder" valign="top" width="28.000000000000004%" headers="mcps1.3.4.3.3.2.1.2.3.1.1 "><p id="mrs_01_1860__p670415356567">Hive Database</p>
+</td>
+<td class="cellrowborder" valign="top" width="72%" headers="mcps1.3.4.3.3.2.1.2.3.1.2 "><p id="mrs_01_1860__p1070443575615">Name of the Spark2x database to which the current policy applies.</p>
+</td>
+</tr>
+<tr id="mrs_01_1860__row147041335115611"><td class="cellrowborder" valign="top" width="28.000000000000004%" headers="mcps1.3.4.3.3.2.1.2.3.1.1 "><p id="mrs_01_1860__p8704173545618">Hive Table</p>
+</td>
+<td class="cellrowborder" valign="top" width="72%" headers="mcps1.3.4.3.3.2.1.2.3.1.2 "><p id="mrs_01_1860__p8704133516565">Name of the Spark2x table to which the current policy applies.</p>
+</td>
+</tr>
+<tr id="mrs_01_1860__row2070419357566"><td class="cellrowborder" valign="top" width="28.000000000000004%" headers="mcps1.3.4.3.3.2.1.2.3.1.1 "><p id="mrs_01_1860__p6705103535619">Hive Column</p>
+</td>
+<td class="cellrowborder" valign="top" width="72%" headers="mcps1.3.4.3.3.2.1.2.3.1.2 "><p id="mrs_01_1860__p6705153510566">Name of the Spark2x column to which the current policy applies.</p>
+</td>
+</tr>
+<tr id="mrs_01_1860__row117051235165615"><td class="cellrowborder" valign="top" width="28.000000000000004%" headers="mcps1.3.4.3.3.2.1.2.3.1.1 "><p id="mrs_01_1860__p1705123545619">Description</p>
+</td>
+<td class="cellrowborder" valign="top" width="72%" headers="mcps1.3.4.3.3.2.1.2.3.1.2 "><p id="mrs_01_1860__p8705835115618">Policy description.</p>
+</td>
+</tr>
+<tr id="mrs_01_1860__row12705103510564"><td class="cellrowborder" valign="top" width="28.000000000000004%" headers="mcps1.3.4.3.3.2.1.2.3.1.1 "><p id="mrs_01_1860__p570513518569">Audit Logging</p>
+</td>
+<td class="cellrowborder" valign="top" width="72%" headers="mcps1.3.4.3.3.2.1.2.3.1.2 "><p id="mrs_01_1860__p1970510357569">Whether to audit the policy.</p>
+</td>
+</tr>
+<tr id="mrs_01_1860__row770519359564"><td class="cellrowborder" valign="top" width="28.000000000000004%" headers="mcps1.3.4.3.3.2.1.2.3.1.1 "><p id="mrs_01_1860__p37053357566">Mask Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="72%" headers="mcps1.3.4.3.3.2.1.2.3.1.2 "><p id="mrs_01_1860__p1270523545618">In the <strong id="mrs_01_1860__b15948123761318">Select Group</strong> and <strong id="mrs_01_1860__b594933781310">Select User</strong> columns, select the user group or user to which the permission is to be granted, click <strong id="mrs_01_1860__b3949837101318">Add Conditions</strong>, add the IP address range to which the policy applies, then click <strong id="mrs_01_1860__b1894911377132">Add Permissions</strong>, and select <strong id="mrs_01_1860__b5949737131310">select</strong>.</p>
+<p id="mrs_01_1860__p4705193565615">Click <strong id="mrs_01_1860__b49681657104815">Select Masking Option</strong> and select a data masking policy.</p>
+<ul id="mrs_01_1860__ul10705203585611"><li id="mrs_01_1860__li870543515614">Redact: Use <strong id="mrs_01_1860__b174978264911">x</strong> to mask all letters and <strong id="mrs_01_1860__b15502326497">n</strong> to mask all digits.</li><li id="mrs_01_1860__li1670573525610">Partial mask: show last 4: Only the last four characters are displayed.</li><li id="mrs_01_1860__li157051535145615">Partial mask: show first 4: Only the first four characters are displayed.</li><li id="mrs_01_1860__li1570563515565">Hash: Perform hash calculation for data.</li><li id="mrs_01_1860__li1570519350560">Nullify: Replace the original value with the NULL value.</li><li id="mrs_01_1860__li1470553575618">Unmasked(retain original value): The original data is displayed.</li><li id="mrs_01_1860__li12705335205617">Date: show only year: Only the year information is displayed.</li><li id="mrs_01_1860__li1570553555613">Custom: You can use any valid Hive UDF (returns the same data type as the data type in the masked column) to customize the policy.</li></ul>
+<p id="mrs_01_1860__p2705113585618">To add a multi-column masking policy, click <span><img id="mrs_01_1860__image18705103514569" src="en-us_image_0000001349169781.png"></span>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1860__row7705163575611"><td class="cellrowborder" valign="top" width="28.000000000000004%" headers="mcps1.3.4.3.3.2.1.2.3.1.1 "><p id="mrs_01_1860__p27061035135614">Deny Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="72%" headers="mcps1.3.4.3.3.2.1.2.3.1.2 "><p id="mrs_01_1860__p1706103595611">Policy rejection condition, which is used to configure the permissions and exceptions to be denied in the policy. The configuration method is similar to that of <strong id="mrs_01_1860__b1228324315535">Allow Conditions</strong>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_1860__section1714014165515"><h4 class="sectiontitle">Spark2x Row-Level Data Filtering</h4><p id="mrs_01_1860__p1631710378412">Ranger allows you to filter data at the row level when you perform the <strong id="mrs_01_1860__b18860498539">select</strong> operation on Spark2x data tables.</p>
+<ol id="mrs_01_1860__ol147024123710"><li id="mrs_01_1860__li1170251218717"><span>Log in to the Ranger WebUI and click the component plug-in name, for example, <strong id="mrs_01_1860__b14378112252419">Hive</strong>, in the <strong id="mrs_01_1860__b15386192220242">HADOOP SQL</strong> area on the home page.</span></li><li id="mrs_01_1860__li370281216712"><span>On the <strong id="mrs_01_1860__b1080035815311">Row Level Filter</strong> tab page, click <strong id="mrs_01_1860__b380545816534">Add New Policy</strong> to add a row data filtering policy.</span></li><li id="mrs_01_1860__li6702171214720"><span>Configure the parameters listed in the table below based on the service demands.</span><p>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1860__table1702201213710" frame="border" border="1" rules="all"><caption><b>Table 4 </b>Parameters for filtering Spark2x row data</caption><thead align="left"><tr id="mrs_01_1860__row1470213121177"><th align="left" class="cellrowborder" valign="top" width="22.45%" id="mcps1.3.5.3.3.2.1.2.3.1.1"><p id="mrs_01_1860__p670217121076">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="77.55%" id="mcps1.3.5.3.3.2.1.2.3.1.2"><p id="mrs_01_1860__p87021612578">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1860__row0702212776"><td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.5.3.3.2.1.2.3.1.1 "><p id="mrs_01_1860__p107024123717">Policy Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.55%" headers="mcps1.3.5.3.3.2.1.2.3.1.2 "><p id="mrs_01_1860__p20703912179">Policy name, which can be customized and must be unique in the service.</p>
+</td>
+</tr>
+<tr id="mrs_01_1860__row140121610516"><td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.5.3.3.2.1.2.3.1.1 "><p id="mrs_01_1860__p1230110171513">Policy Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.55%" headers="mcps1.3.5.3.3.2.1.2.3.1.2 "><p id="mrs_01_1860__p10301131765115">IP address filtering policy, which can be customized. You can enter one or more IP addresses or IP address segments. The IP address can contain the wildcard character (*), for example, <strong id="mrs_01_1860__b181911834181411">192.168.1.10</strong>,<strong id="mrs_01_1860__b1819215341144">192.168.1.20</strong>, or <strong id="mrs_01_1860__b11921834131413">192.168.1.*</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1860__row13855184111911"><td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.5.3.3.2.1.2.3.1.1 "><p id="mrs_01_1860__p1770311427911">Policy Label</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.55%" headers="mcps1.3.5.3.3.2.1.2.3.1.2 "><p id="mrs_01_1860__p12703144211912">A label specified for the current policy. You can search for reports and filter policies based on labels.</p>
+</td>
+</tr>
+<tr id="mrs_01_1860__row1870313121875"><td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.5.3.3.2.1.2.3.1.1 "><p id="mrs_01_1860__p67038121179">Hive Database</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.55%" headers="mcps1.3.5.3.3.2.1.2.3.1.2 "><p id="mrs_01_1860__p1070312121374">Name of the Spark2x database to which the current policy applies.</p>
+</td>
+</tr>
+<tr id="mrs_01_1860__row1870310124719"><td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.5.3.3.2.1.2.3.1.1 "><p id="mrs_01_1860__p5703212976">Hive Table</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.55%" headers="mcps1.3.5.3.3.2.1.2.3.1.2 "><p id="mrs_01_1860__p15703512375">Name of the Spark2x table to which the current policy applies.</p>
+</td>
+</tr>
+<tr id="mrs_01_1860__row6703121211712"><td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.5.3.3.2.1.2.3.1.1 "><p id="mrs_01_1860__p5703191217719">Description</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.55%" headers="mcps1.3.5.3.3.2.1.2.3.1.2 "><p id="mrs_01_1860__p37036121574">Policy description.</p>
+</td>
+</tr>
+<tr id="mrs_01_1860__row1470315123717"><td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.5.3.3.2.1.2.3.1.1 "><p id="mrs_01_1860__p1670319122072">Audit Logging</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.55%" headers="mcps1.3.5.3.3.2.1.2.3.1.2 "><p id="mrs_01_1860__p1670312128718">Whether to audit the policy.</p>
+</td>
+</tr>
+<tr id="mrs_01_1860__row12703912273"><td class="cellrowborder" valign="top" width="22.45%" headers="mcps1.3.5.3.3.2.1.2.3.1.1 "><p id="mrs_01_1860__p127039121176">Row Filter Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.55%" headers="mcps1.3.5.3.3.2.1.2.3.1.2 "><p id="mrs_01_1860__p1670316121671">In the <strong id="mrs_01_1860__b471711449245">Select Role</strong>, <strong id="mrs_01_1860__b1372394412417">Select Group</strong>, and <strong id="mrs_01_1860__b11724184419245">Select User</strong> columns, select the object to which the permission is to be granted, click <strong id="mrs_01_1860__b172454412241">Add Conditions</strong>, add the IP address range to which the policy applies, then click <strong id="mrs_01_1860__b27251644132412">Add Permissions</strong>, and select <strong id="mrs_01_1860__b187251744102410">select</strong>.</p>
+<p id="mrs_01_1860__p270391213720">Click <strong id="mrs_01_1860__b65341543175412">Row Level Filter</strong> and enter data filtering rules.</p>
+<p id="mrs_01_1860__p10682174391411">For example, if you want to filter the data in the <strong id="mrs_01_1860__b11237166195510">zhangsan</strong> row in the <strong id="mrs_01_1860__b1624215655515">name</strong> column of <strong id="mrs_01_1860__b5242761551">table A</strong>, the filtering rule is <strong id="mrs_01_1860__b424256145511">name &lt;&gt;'zhangsan'</strong>. For more information, see the official Ranger document.</p>
+<p id="mrs_01_1860__p2070316121671">To add more rules, click <span><img id="mrs_01_1860__image11703141212710" src="en-us_image_0000001296090052.png"></span>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_1860__li2703212975"><span>Click <strong id="mrs_01_1860__b347816322555">Add</strong> to view the basic information about the policy in the policy list.</span></li><li id="mrs_01_1860__li6703181214713"><span>After you perform the <strong id="mrs_01_1860__b1878913395559">select</strong> operation on a table configured with a data masking policy on the Spark2x client, the system processes and displays the data.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1849.html">Using Ranger (MRS 3.x)</a></div>
+</div>
+</div>
+
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+
+<h1 class="topictitle1">Adding a Ranger Access Permission Policy for Kafka</h1>
+<div id="body1595917975679"><div class="section" id="mrs_01_1861__section1683414032615"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1861__p17816144492615">The <span id="mrs_01_1861__ph1389213457234">Ranger</span><span id="mrs_01_1861__ph733184682310"> </span>administrator can use Ranger to configure the read, write, and management permissions of the Kafka topic and the management permission of the cluster for the Kafka user. This section describes how to add the production permission of the <strong id="mrs_01_1861__b6851120185212">test</strong> topic for the <strong id="mrs_01_1861__b15851152075219">test</strong> user.</p>
+</div>
+<div class="section" id="mrs_01_1861__section11493172153315"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1861__ul5357197143515"><li id="mrs_01_1861__li735717193519">The Ranger service has been installed and is running properly.</li><li id="mrs_01_1861__li19563173342811">You have created users, user groups, or roles for which you want to configure permissions.</li></ul>
+</div>
+<div class="section" id="mrs_01_1861__section1582416525267"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1861__ol15426323102911"><li id="mrs_01_1861__li13147231112419"><span>Log in to the Ranger management page.</span></li><li id="mrs_01_1861__li18658932173820"><span>On the home page, click the component plug-in name in the <strong id="mrs_01_1861__b4461195095217">KAFKA</strong> area, for example, <strong id="mrs_01_1861__b13467350125217">Kafka</strong>.</span></li><li id="mrs_01_1861__li62151559132918"><span>Click <strong id="mrs_01_1861__b74991656185216">Add New Policy</strong> to add a Kafka permission control policy.</span></li><li id="mrs_01_1861__li2838111393019"><span>Configure the following parameters based on the service demands.</span><p>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1861__table13041634123020" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Kafka permission parameters</caption><thead align="left"><tr id="mrs_01_1861__row33045341301"><th align="left" class="cellrowborder" valign="top" width="26.16%" id="mcps1.3.3.2.4.2.1.2.3.1.1"><p id="mrs_01_1861__p250385903017">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="73.83999999999999%" id="mcps1.3.3.2.4.2.1.2.3.1.2"><p id="mrs_01_1861__p1750345915308">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1861__row855519388569"><td class="cellrowborder" valign="top" width="26.16%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1861__p455513382568">Policy Type</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.83999999999999%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1861__p555583845614">Access type.</p>
+</td>
+</tr>
+<tr id="mrs_01_1861__row1352143814519"><td class="cellrowborder" valign="top" width="26.16%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1861__p119259713409">Policy Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.83999999999999%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1861__p9935105714451">IP address filtering policy, which can be customized. You can enter one or more IP addresses or IP address segments. The IP address can contain the wildcard character (*), for example, <strong id="mrs_01_1861__b620615363163">192.168.1.10</strong>,<strong id="mrs_01_1861__b1120693631614">192.168.1.20</strong>, or <strong id="mrs_01_1861__b3207113611613">192.168.1.*</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1861__row1128111208322"><td class="cellrowborder" valign="top" width="26.16%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1861__p1469114120417">Policy Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.83999999999999%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1861__p1920572416251">Policy name, which can be customized and must be unique in the service.</p>
+</td>
+</tr>
+<tr id="mrs_01_1861__row330483473019"><td class="cellrowborder" valign="top" width="26.16%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1861__p196910112228">Policy Label</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.83999999999999%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1861__p5695112225">A label specified for the current policy. You can search for reports and filter policies based on labels.</p>
+</td>
+</tr>
+<tr id="mrs_01_1861__row10304163418303"><td class="cellrowborder" valign="top" width="26.16%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1861__p195031559193017">topic</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.83999999999999%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1861__p20503115923017">Name of the topic applicable to the current policy. You can enter multiple values. The value can contain wildcards, such as <strong id="mrs_01_1861__b1848444119537">test</strong>, <strong id="mrs_01_1861__b16484441185312">test*</strong>, and <strong id="mrs_01_1861__b10485124135312">*</strong>.</p>
+<p id="mrs_01_1861__p99402217306">The <span class="parmname" id="mrs_01_1861__parmname199421253255"><b>Include</b></span> policy applies to the current input object, and the <span class="parmname" id="mrs_01_1861__parmname1994832522511"><b>Exclude</b></span> policy applies to objects other than the current input object.</p>
+</td>
+</tr>
+<tr id="mrs_01_1861__row0216030173315"><td class="cellrowborder" valign="top" width="26.16%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1861__p15697173210192">Description</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.83999999999999%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1861__p1869773261914">Policy description.</p>
+</td>
+</tr>
+<tr id="mrs_01_1861__row130463413301"><td class="cellrowborder" valign="top" width="26.16%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1861__p898812379471">Audit Logging</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.83999999999999%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1861__p18988437174719">Whether to audit the policy.</p>
+</td>
+</tr>
+<tr id="mrs_01_1861__row18304133403012"><td class="cellrowborder" valign="top" width="26.16%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1861__p5304134113010">Allow Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.83999999999999%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1861__p2150185173119">Permission and exception conditions allowed by a policy. The priority of an exception condition is higher than that of a normal condition.</p>
+<p id="mrs_01_1861__p3943134320378">In the <strong id="mrs_01_1861__b10596131520546">Select Role</strong>, <strong id="mrs_01_1861__b760141595414">Select Group</strong>, and <strong id="mrs_01_1861__b1560111153545">Select User</strong> columns, select the role, user group, or user to which you want to assign permissions.</p>
+<p id="mrs_01_1861__p276554473717">Click <strong id="mrs_01_1861__b92824413161">Add Conditions</strong>, add the IP address range to which the policy applies, and click <strong id="mrs_01_1861__b7753114719169">Add Permissions</strong> to add corresponding permissions.</p>
+<ul id="mrs_01_1861__ul615075143113"><li id="mrs_01_1861__li15150195113117">Publish: production permission</li><li id="mrs_01_1861__li171501451193115">Consume: consumption permission</li><li id="mrs_01_1861__li21501451173117">Describe: query permission</li><li id="mrs_01_1861__li815015515316">Create: topic creation permission</li><li id="mrs_01_1861__li1015019513318">Delete: topic deletion permission</li><li id="mrs_01_1861__li141505516317">Describe Configs: configuration query permission</li><li id="mrs_01_1861__li4570228202710">Alter: permission to change the number of partitions of a topic.</li><li id="mrs_01_1861__li121505513318">Alter Configs: configuration modification permission</li><li id="mrs_01_1861__li1663701573417">Select/Deselect All: Select or deselect all.</li></ul>
+<p id="mrs_01_1861__p1545113122150">To add multiple permission control rules, click <span><img id="mrs_01_1861__image341133521514" src="en-us_image_0000001349289369.png"></span>.</p>
+<p id="mrs_01_1861__p8404164411">If users or user groups in the current condition need to manage this policy, select <strong id="mrs_01_1861__b1360161165512">Delegate Admin</strong>. These users will become the agent administrators. The agent administrators can update and delete this policy and create sub-policies based on the original policy.</p>
+</td>
+</tr>
+<tr id="mrs_01_1861__row43041334133011"><td class="cellrowborder" valign="top" width="26.16%" headers="mcps1.3.3.2.4.2.1.2.3.1.1 "><p id="mrs_01_1861__p155351440143214">Deny Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.83999999999999%" headers="mcps1.3.3.2.4.2.1.2.3.1.2 "><p id="mrs_01_1861__p1453514405325">Policy rejection condition, which is used to configure the permissions and exceptions to be denied in the policy. The configuration method is the same as that of <strong id="mrs_01_1861__b7819182995512">Allow Conditions</strong>. The priority of the rejection condition is higher than that of the allowed conditions configured in <strong id="mrs_01_1861__b382452985516">Allow Conditions</strong>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1861__p39012943315">For example, to add the production permission for the <strong id="mrs_01_1861__b147078353558">test</strong> topic of user <strong id="mrs_01_1861__b971223535511">testuser</strong>, configure the following information:</p>
+<div class="fignone" id="mrs_01_1861__fig16585143921319"><span class="figcap"><b>Figure 1 </b>Kafka permission parameters</span><br><span><img id="mrs_01_1861__image155851939131318" src="en-us_image_0000001389467018.png"></span></div>
+<div class="p" id="mrs_01_1861__p328016010397">
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1861__table25376475282" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Setting permissions</caption><thead align="left"><tr id="mrs_01_1861__row145381247152817"><th align="left" class="cellrowborder" valign="top" width="36.059999999999995%" id="mcps1.3.3.2.4.2.4.1.2.3.1.1"><p id="mrs_01_1861__p45386472286"><strong id="mrs_01_1861__b4200856125117">Scenario</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="63.94%" id="mcps1.3.3.2.4.2.4.1.2.3.1.2"><p id="mrs_01_1861__p1334011246306"><strong id="mrs_01_1861__b7252617524">Role Authorization</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1861__row1453844742812"><td class="cellrowborder" valign="top" width="36.059999999999995%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.1 "><p id="mrs_01_1861__p1538164712286">Setting the Kafka administrator permissions</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.94%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.2 "><ol type="a" id="mrs_01_1861__ol9811840103417"><li id="mrs_01_1861__li3811140173416">On the home page, click the component plug-in name in the <strong id="mrs_01_1861__b67091833182518">KAFKA</strong> area, for example, <strong id="mrs_01_1861__b8716153372513">Kafka</strong>.</li><li id="mrs_01_1861__li13360163663816">Select the policy whose <strong id="mrs_01_1861__b3988145865517">Policy Name</strong> is <strong id="mrs_01_1861__b79931583559">all - topic</strong> and click <span><img id="mrs_01_1861__image262417334017" src="en-us_image_0000001295770256.png"></span> to edit the policy.</li><li id="mrs_01_1861__li1369322054013">In the <strong id="mrs_01_1861__b18150111325610">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1861__b815081345614">Select User</strong> drop-down list.</li><li id="mrs_01_1861__li11121181115317">Click <strong id="mrs_01_1861__b185219548235">Add Permissions</strong> and select <strong id="mrs_01_1861__b35210545233">Select/Deselect All</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1861__row1238694413210"><td class="cellrowborder" valign="top" width="36.059999999999995%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.1 "><p id="mrs_01_1861__p103864447325">Setting the permission for a user to create a topic</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.94%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.2 "><ol type="a" id="mrs_01_1861__ol1193519563418"><li id="mrs_01_1861__li1935155163415">Specify a topic name in <strong id="mrs_01_1861__b1246114517257">topic</strong>.</li><li id="mrs_01_1861__li1793510573419">In the <strong id="mrs_01_1861__b974912357561">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1861__b775443575612">Select User</strong> drop-down list.</li><li id="mrs_01_1861__li13935135103414">Click <strong id="mrs_01_1861__b124931038135611">Add Permissions</strong> and select <strong id="mrs_01_1861__b5493123855618">Create</strong>.</li></ol>
+<div class="note" id="mrs_01_1861__note148591926155017"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1861__p3859926185012">Currently, the Kafka kernel supports the <strong id="mrs_01_1861__b865424655615">--zookeeper</strong> and <strong id="mrs_01_1861__b8432165110567">--bootstrap-server</strong> methods to create topics. The -<strong id="mrs_01_1861__b2356151155714">-zookeeper</strong> method will be deleted from the community in later versions. Therefore, you are advised to use the <strong id="mrs_01_1861__b31521817155712">--bootstrap-server</strong> method to create topics.</p>
+<p id="mrs_01_1861__p1358891716526">Note: Currently, Kafka supports only the authentication of topic creation in <strong id="mrs_01_1861__b1180723765710">--bootstrap-server</strong> mode and does not support that in <strong id="mrs_01_1861__b45781743165713">--zookeeper</strong> mode.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1861__row2185182617346"><td class="cellrowborder" valign="top" width="36.059999999999995%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.1 "><p id="mrs_01_1861__p418512643410">Setting the permission for a user to delete a topic</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.94%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.2 "><ol type="a" id="mrs_01_1861__ol68764496344"><li id="mrs_01_1861__li48761499344">Specify a topic name in <strong id="mrs_01_1861__b562185192513">topic</strong>.</li><li id="mrs_01_1861__li18768499341">In the <strong id="mrs_01_1861__b118418104585">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1861__b8842106585">Select User</strong> drop-down list.</li><li id="mrs_01_1861__li5876144953417">Click <strong id="mrs_01_1861__b9151114175811">Add Permissions</strong> and select <strong id="mrs_01_1861__b31531416583">Delete</strong>.</li></ol>
+<div class="note" id="mrs_01_1861__note187217281549"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1861__p4721928105419">Currently, the Kafka kernel supports the <strong id="mrs_01_1861__b736810190585">--zookeeper</strong> and <strong id="mrs_01_1861__b123732192588">--bootstrap-server</strong> methods to delete topics. The -<strong id="mrs_01_1861__b14373101911588">-zookeeper</strong> method will be deleted from the community in later versions. Therefore, you are advised to use the <strong id="mrs_01_1861__b18373619175811">--bootstrap-server</strong> method to delete topics.</p>
+<p id="mrs_01_1861__p2721128185418">Note: Currently, Kafka supports only the authentication of topic deletion in <strong id="mrs_01_1861__b13327103445819">--bootstrap-server</strong> mode and does not support that in <strong id="mrs_01_1861__b18334534195811">--zookeeper</strong> mode.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1861__row19860454204111"><td class="cellrowborder" valign="top" width="36.059999999999995%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.1 "><p id="mrs_01_1861__p15861135474111">Setting the permission for a user to query a topic</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.94%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.2 "><ol type="a" id="mrs_01_1861__ol9198511184219"><li id="mrs_01_1861__li519812111429">Specify a topic name in <strong id="mrs_01_1861__b664525173015">topic</strong>.</li><li id="mrs_01_1861__li12198111124215">In the <strong id="mrs_01_1861__b376284845819">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1861__b19767154813581">Select User</strong> drop-down list.</li><li id="mrs_01_1861__li1619811111426">Click <strong id="mrs_01_1861__b156701850195814">Add Permissions</strong> and select <strong id="mrs_01_1861__b767016509587">Describe</strong> and <strong id="mrs_01_1861__b66711250145819">Describe Configs</strong>.</li></ol>
+<div class="note" id="mrs_01_1861__note1852715126561"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1861__p152781216560">Currently, the Kafka kernel supports the <strong id="mrs_01_1861__b1749385315815">--zookeeper</strong> and <strong id="mrs_01_1861__b1649325311589">--bootstrap-server</strong> methods to query topics. The -<strong id="mrs_01_1861__b649315318583">-zookeeper</strong> method will be deleted from the community in later versions. Therefore, you are advised to use the <strong id="mrs_01_1861__b16493185318585">--bootstrap-server</strong> method to query topics.</p>
+<p id="mrs_01_1861__p25271912195612">Note: Currently, Kafka supports only the authentication of topic query in <strong id="mrs_01_1861__b64796205918">--bootstrap-server</strong> mode and does not support that in <strong id="mrs_01_1861__b15522612592">--zookeeper</strong> mode.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1861__row17538647112817"><td class="cellrowborder" valign="top" width="36.059999999999995%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.1 "><p id="mrs_01_1861__p6539121692914">Setting the production permission of a user on a topic</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.94%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.2 "><ol type="a" id="mrs_01_1861__o4fec88099543498580262f53621ac547"><li id="mrs_01_1861__li1952454211196">Specify a topic name in <strong id="mrs_01_1861__b1326175413304">topic</strong>.</li><li id="mrs_01_1861__li052464261919">In the <strong id="mrs_01_1861__b19252192219596">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1861__b16252422115913">Select User</strong> drop-down list.</li><li id="mrs_01_1861__li052474211199">Click <strong id="mrs_01_1861__b146611125185919">Add Permissions</strong> and select <strong id="mrs_01_1861__b16666152545915">Publish</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1861__row4538104742810"><td class="cellrowborder" valign="top" width="36.059999999999995%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.1 "><p id="mrs_01_1861__p3717421182914">Setting the consumption permission of a user on a topic</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.94%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.2 "><ol type="a" id="mrs_01_1861__ol14891750151716"><li id="mrs_01_1861__li38935031717">Specify a topic name in <strong id="mrs_01_1861__b136891055153018">topic</strong>.</li><li id="mrs_01_1861__li189135016174">In the <strong id="mrs_01_1861__b133091936125916">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1861__b23094367592">Select User</strong> drop-down list.</li><li id="mrs_01_1861__li10901850131714">Click <strong id="mrs_01_1861__b8976539135918">Add Permissions</strong> and select <strong id="mrs_01_1861__b4981239205919">Consume</strong>.</li></ol>
+<div class="note" id="mrs_01_1861__note17441151294019"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1861__p1544171219404">During topic consumption, offset management is involved. Therefore, the <strong id="mrs_01_1861__b81851321142414">Consume</strong> permission of <strong id="mrs_01_1861__b162646275244">ConsumerGroup</strong> must be enabled at the same time. For details, see <strong id="mrs_01_1861__b586204212418">Setting a User's Permission to Submit ConsumerGroup Offsets</strong>.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1861__row1221513393328"><td class="cellrowborder" valign="top" width="36.059999999999995%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.1 "><p id="mrs_01_1861__p32167392326">Setting the permission for a user to expand a topic (by adding partitions)</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.94%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.2 "><ol type="a" id="mrs_01_1861__ol1165163725212"><li id="mrs_01_1861__li16165237155213">Specify a topic name in <strong id="mrs_01_1861__b1199514483117">topic</strong>.</li><li id="mrs_01_1861__li31659371526">In the <strong id="mrs_01_1861__b117271695012">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1861__b177337913015">Select User</strong> drop-down list.</li><li id="mrs_01_1861__li1216518372528">Click <strong id="mrs_01_1861__b1757855702414">Add Permissions</strong> and select <strong id="mrs_01_1861__b1358345713245">Alter</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1861__row143925337813"><td class="cellrowborder" valign="top" width="36.059999999999995%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.1 "><p id="mrs_01_1861__p1639217332814">Setting the permission for a user to modify the topic configuration</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.94%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.2 "><p id="mrs_01_1861__p721335615813">Currently, the Kafka kernel does not support to modify topic parameters based on <strong id="mrs_01_1861__b1774115206011">--bootstrap-server</strong>. Therefore, Ranger does not support authentication for this behavior.</p>
+</td>
+</tr>
+<tr id="mrs_01_1861__row79051436445"><td class="cellrowborder" valign="top" width="36.059999999999995%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.1 "><p id="mrs_01_1861__p1790510434446">Setting all the management permissions of a user on a cluster</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.94%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.2 "><ol type="a" id="mrs_01_1861__ol59598654518"><li id="mrs_01_1861__li11959116144510">Enter a cluster name and select the cluster on the right side of <strong id="mrs_01_1861__b18521812195816">cluster</strong>.</li><li id="mrs_01_1861__li16959866457">In the <strong id="mrs_01_1861__b1990217511045">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1861__b69031851345">Select User</strong> drop-down list.</li><li id="mrs_01_1861__li10959166144513">Click <strong id="mrs_01_1861__b1332052235813">Add Permissions</strong> and select <strong id="mrs_01_1861__b1321152245816">Kafka Admin</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1861__row1997915611165"><td class="cellrowborder" valign="top" width="36.059999999999995%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.1 "><p id="mrs_01_1861__p498085661618">Setting the permission for a user to create a cluster</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.94%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.2 "><ol type="a" id="mrs_01_1861__ol113322610178"><li id="mrs_01_1861__li17751116678">On the home page, click the component plug-in name in the <strong id="mrs_01_1861__b139961364319">KAFKA</strong> area, for example, <strong id="mrs_01_1861__b9996196163111">Kafka</strong>.</li><li id="mrs_01_1861__li138521244719">Select the policy whose <strong id="mrs_01_1861__b11950221619">Policy Name</strong> is <strong id="mrs_01_1861__b1795082119">all - cluster</strong> and click <span><img id="mrs_01_1861__image1523783014717" src="en-us_image_0000001295770272.png"></span> to edit the policy.</li><li id="mrs_01_1861__li103312263174">Enter a cluster name and select the cluster on the right side of <strong id="mrs_01_1861__b34253141112">cluster</strong>.</li><li id="mrs_01_1861__li8332263178">In the <strong id="mrs_01_1861__b67757265115">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1861__b2078012267111">Select User</strong> drop-down list.</li><li id="mrs_01_1861__li233026101713">Click <strong id="mrs_01_1861__b128917311115">Add Permissions</strong> and select <strong id="mrs_01_1861__b62951311314">Create</strong>.</li></ol>
+<div class="note" id="mrs_01_1861__note7713832101716"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1861__p104281530142912">The authentication of the <strong id="mrs_01_1861__b947341211">Create</strong> operation of a cluster involves the following two scenarios:</p>
+<ol type="a" id="mrs_01_1861__ol11281143419295"><li id="mrs_01_1861__li228217345298">After the <strong id="mrs_01_1861__b52655365114">auto.create.topics.enable</strong> parameter is enabled in the cluster, the client sends data to a topic that has not been created in the service. In this case, the system checks whether the user has the <strong id="mrs_01_1861__b52668361118">Create</strong> permission of the cluster.</li><li id="mrs_01_1861__li196841936142914">If a user creates a large number of topics and is granted the <strong id="mrs_01_1861__b1318364214111">Cluster Create</strong> permission, the user can create any topic in the cluster.</li></ol>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1861__row665581815358"><td class="cellrowborder" valign="top" width="36.059999999999995%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.1 "><p id="mrs_01_1861__p565681816352">Setting the permission for a user to modify the cluster configuration</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.94%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.2 "><ol type="a" id="mrs_01_1861__ol1848343943510"><li id="mrs_01_1861__li10483123910357">Enter a cluster name and select the cluster on the right side of <strong id="mrs_01_1861__b1626615521619">cluster</strong>.</li><li id="mrs_01_1861__li11483173973519">In the <strong id="mrs_01_1861__b8873135415112">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1861__b19873354215">Select User</strong> drop-down list.</li><li id="mrs_01_1861__li15483539133514">Click <strong id="mrs_01_1861__b681410570117">Add Permissions</strong> and select <strong id="mrs_01_1861__b18141157510">Alter Configs</strong>.</li></ol>
+<div class="note" id="mrs_01_1861__note83265123485"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1861__p1832615125485">The configuration modification permission allows you to modify the Broker and Broker Logger configurations.</p>
+<p id="mrs_01_1861__p71031243194815">After the configuration modification permission is granted to a user, the user can query configuration details even if the user does not have the query permission. (The configuration modification permission includes the configuration query permission.)</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1861__row17639204311"><td class="cellrowborder" valign="top" width="36.059999999999995%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.1 "><p id="mrs_01_1861__p863919010317">Setting the permission for a user to query the cluster configuration</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.94%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.2 "><ol type="a" id="mrs_01_1861__ol61558423324"><li id="mrs_01_1861__li4155124215321">Enter a cluster name and select the cluster on the right side of <strong id="mrs_01_1861__b344819245220">cluster</strong>.</li><li id="mrs_01_1861__li1815544210324">In the <strong id="mrs_01_1861__b17637531620">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1861__b664211318210">Select User</strong> drop-down list.</li><li id="mrs_01_1861__li815515424327">Click <strong id="mrs_01_1861__b3192113816213">Add Permissions</strong> and select <strong id="mrs_01_1861__b1319718381826">Describe</strong> and <strong id="mrs_01_1861__b1719716387215">Describe Configs</strong>.</li></ol>
+<div class="note" id="mrs_01_1861__note4646133173319"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1861__p8646633133312">You can only query Broker and Broker Logger information in the cluster, excluding topics.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1861__row9792181212522"><td class="cellrowborder" valign="top" width="36.059999999999995%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.1 "><p id="mrs_01_1861__p187935121525">Setting the Idempotent Write permission in a cluster for a user</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.94%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.2 "><ol type="a" id="mrs_01_1861__ol1132812795310"><li id="mrs_01_1861__li732810715317">Enter a cluster name and select the cluster on the right side of <strong id="mrs_01_1861__b178520110314">cluster</strong>.</li><li id="mrs_01_1861__li9328147205318">In the <strong id="mrs_01_1861__b11294538">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1861__b121374538">Select User</strong> drop-down list.</li><li id="mrs_01_1861__li132818745318">Click <strong id="mrs_01_1861__b1095017611314">Add Permissions</strong> and select <strong id="mrs_01_1861__b199551061131">Idempotent Write</strong>.</li></ol>
+<div class="note" id="mrs_01_1861__note7308749165310"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1861__p73091749195310">This permission authenticates the <strong id="mrs_01_1861__b171413101731">Idempotent Produce</strong> behavior of the user's client.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1861__row38576441551"><td class="cellrowborder" valign="top" width="36.059999999999995%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.1 "><p id="mrs_01_1861__p285719442553">Setting the permission to migrate partitions in a cluster for a user</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.94%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.2 "><ol type="a" id="mrs_01_1861__ol1333112595615"><li id="mrs_01_1861__li133338257563">Enter a cluster name and select the cluster on the right side of <strong id="mrs_01_1861__b1192321819318">cluster</strong>.</li><li id="mrs_01_1861__li53331825155616">In the <strong id="mrs_01_1861__b193517211138">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1861__b193561521539">Select User</strong> drop-down list.</li><li id="mrs_01_1861__li533342513568">Click <strong id="mrs_01_1861__b8485175252">Add Permissions</strong> and select <strong id="mrs_01_1861__b549110702513">Alter</strong>.</li></ol>
+<div class="note" id="mrs_01_1861__note280635695619"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1861__p1180613563565">The <strong id="mrs_01_1861__b119005261834">Alter</strong> permission of a cluster can be used to control permissions in the following scenarios:</p>
+<ol type="a" id="mrs_01_1861__ol125501254589"><li id="mrs_01_1861__li45501565814"><a name="mrs_01_1861__li45501565814"></a><a name="li45501565814"></a>In the <strong id="mrs_01_1861__b1975120290314">Partition Reassign</strong> scenario, migrate the storage directory of replicas.</li><li id="mrs_01_1861__li16835192518593"><a name="mrs_01_1861__li16835192518593"></a><a name="li16835192518593"></a>Elect a leader replica in each partition of the cluster.</li><li id="mrs_01_1861__li8445134935915"><a name="mrs_01_1861__li8445134935915"></a><a name="li8445134935915"></a>Add or delete ACLs.</li></ol>
+<p id="mrs_01_1861__p10126125975916">Operations in scenarios <a href="#mrs_01_1861__li45501565814">1</a> and <a href="#mrs_01_1861__li16835192518593">2</a> are between a controller and broker and between brokers in the cluster. When a cluster is created, this permission is granted to the built-in Kafka user by default. It is meaningless for a common user to be granted with this permission.</p>
+<p id="mrs_01_1861__p20294307210">Scenario <a href="#mrs_01_1861__li8445134935915">3</a> involves the ACL management. ACLs are designed for authentication. Currently, Kafka authentication is hosted to Ranger. Therefore, this scenario is not involved (the configuration does not take effect).</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1861__row74251934348"><td class="cellrowborder" valign="top" width="36.059999999999995%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.1 "><p id="mrs_01_1861__p64253341044">Setting the Cluster Action permission in a cluster for a user</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.94%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.2 "><ol type="a" id="mrs_01_1861__ol1397125710414"><li id="mrs_01_1861__li63971571416">Enter a cluster name and select the cluster on the right side of <strong id="mrs_01_1861__b616920491949">cluster</strong>.</li><li id="mrs_01_1861__li1397105710413">In the <strong id="mrs_01_1861__b1688198046">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1861__b1889599023">Select User</strong> drop-down list.</li><li id="mrs_01_1861__li10397195714415">Click <strong id="mrs_01_1861__b94013562413">Add Permissions</strong> and select <strong id="mrs_01_1861__b04514561411">Cluster Action</strong>.</li></ol>
+<div class="note" id="mrs_01_1861__note41991223758"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1861__p18199523554">This permission controls the synchronization between the leader and follower replicas in the cluster and the communication between nodes. It has been granted to the built-in Kakfa user during cluster creation. It is meaningless for a common user to grant this permission.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1861__row61653412714"><td class="cellrowborder" valign="top" width="36.059999999999995%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.1 "><p id="mrs_01_1861__p101661441073">Setting the TransactionalId permission for a user</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.94%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.2 "><ol type="a" id="mrs_01_1861__ol130313471410"><li id="mrs_01_1861__li1430318349146">On the home page, click the component plug-in name in the <strong id="mrs_01_1861__b41471699314">KAFKA</strong> area, for example, <strong id="mrs_01_1861__b1914814915315">Kafka</strong>.</li><li id="mrs_01_1861__li11303173491412">Select the policy whose <strong id="mrs_01_1861__b1892561812515">Policy Name</strong> is <strong id="mrs_01_1861__b1392510182516">all - transactionalid</strong> and click <span><img id="mrs_01_1861__image10303734121413" src="en-us_image_0000001349169789.png"></span> to edit the policy.</li></ol>
+<ol type="a" id="mrs_01_1861__ol13036342142"><li id="mrs_01_1861__li1730383491415">Set <strong id="mrs_01_1861__b1426120265519">transactionalid</strong> to a transaction ID.</li><li id="mrs_01_1861__li1530310343148">In the <strong id="mrs_01_1861__b168528296519">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1861__b88533293519">Select User</strong> drop-down list.</li><li id="mrs_01_1861__li11303163411416">Click <strong id="mrs_01_1861__b19545153313519">Add Permissions</strong> and select <strong id="mrs_01_1861__b145501333757">Publish</strong> and <strong id="mrs_01_1861__b45511233650">Describe</strong>.</li></ol>
+<div class="note" id="mrs_01_1861__note1932397913"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1861__p11932591194">The <strong id="mrs_01_1861__b77821937559">Publish</strong> permission is used to authenticate client requests for which the transaction feature is enabled, for example, starting and ending a transaction, submitting an offset, and generating transactional data.</p>
+<p id="mrs_01_1861__p199818523144">The <strong id="mrs_01_1861__b681311427511">Describe</strong> permission is used to authenticate the requests from the client and coordinator that have enabled the transaction feature.</p>
+<p id="mrs_01_1861__p112577337154">If the transaction feature is enabled, you are advised to grant both the <strong id="mrs_01_1861__b72341481517">Publish</strong> and <strong id="mrs_01_1861__b4239148455">Describe</strong> permissions to users.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1861__row6399175518132"><td class="cellrowborder" valign="top" width="36.059999999999995%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.1 "><p id="mrs_01_1861__p1339955541311">Setting the DelegationToken permission for a user</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.94%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.2 "><ol type="a" id="mrs_01_1861__ol35412349163"><li id="mrs_01_1861__li1822813275152">On the home page, click the component plug-in name in the <strong id="mrs_01_1861__b188051610103115">KAFKA</strong> area, for example, <strong id="mrs_01_1861__b19806121063115">Kafka</strong>.</li><li id="mrs_01_1861__li34641337181513">Select the policy whose <strong id="mrs_01_1861__b1693111662">Policy Name</strong> is <strong id="mrs_01_1861__b06991712616">all - delegationtoken</strong> and click <span><img id="mrs_01_1861__image315794311154" src="en-us_image_0000001348770085.png"></span> to edit the policy.</li><li id="mrs_01_1861__li4541143421611">Set <strong id="mrs_01_1861__b116019912618">delegationtoken</strong> to a delegation token.</li><li id="mrs_01_1861__li1954153412161">In the <strong id="mrs_01_1861__b684510121860">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1861__b3850181214612">Select User</strong> drop-down list.</li><li id="mrs_01_1861__li1541103420162">Click <strong id="mrs_01_1861__b1298117161064">Add Permissions</strong> and select <strong id="mrs_01_1861__b29863161464">Describe</strong>.</li></ol>
+<div class="note" id="mrs_01_1861__note11211194701716"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1861__p82121647111710">Currently, Ranger only controls the query permission of DelegationToken, but does not control its <strong id="mrs_01_1861__b539152114613">create</strong>, <strong id="mrs_01_1861__b1039613211966">renew</strong>, and <strong id="mrs_01_1861__b439712216610">expire</strong> permissions.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1861__row1581011381566"><td class="cellrowborder" valign="top" width="36.059999999999995%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.1 "><p id="mrs_01_1861__p481043812564">Setting the permission for a user to query ConsumerGroup Offsets</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.94%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.2 "><ol type="a" id="mrs_01_1861__ol26731639214"><li id="mrs_01_1861__li176730316213">On the home page, click the component plug-in name in the <strong id="mrs_01_1861__b319781573115">KAFKA</strong> area, for example, <strong id="mrs_01_1861__b22031815183112">Kafka</strong>.</li><li id="mrs_01_1861__li1767318314219">Select the policy whose <strong id="mrs_01_1861__b27417543256">Policy Name</strong> is <strong id="mrs_01_1861__b1274754102510">all - consumergroup</strong> and click <span><img id="mrs_01_1861__image967333322" src="en-us_image_0000001348770081.png"></span> to edit the policy.</li><li id="mrs_01_1861__li13673173824">In <strong id="mrs_01_1861__b74794154267">consumergroup</strong>, configure the consumer group to be managed.</li><li id="mrs_01_1861__li76731134217">In the <strong id="mrs_01_1861__b4894201842616">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1861__b1889981814262">Select User</strong> drop-down list.</li><li id="mrs_01_1861__li618108533">Click <strong id="mrs_01_1861__b1244042122613">Add Permissions</strong> and select <strong id="mrs_01_1861__b16440192122618">Describe</strong>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1861__row840514206318"><td class="cellrowborder" valign="top" width="36.059999999999995%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.1 "><p id="mrs_01_1861__p3405112017319">Set the user's submission permission on <strong id="mrs_01_1861__b153951633132610">ConsumerGroup Offsets</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.94%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.2 "><ol type="a" id="mrs_01_1861__ol10893204218318"><li id="mrs_01_1861__li198938421032">On the home page, click the component plug-in name in the <strong id="mrs_01_1861__b21231717163117">KAFKA</strong> area, for example, <strong id="mrs_01_1861__b12124617123119">Kafka</strong>.</li><li id="mrs_01_1861__li689384217318">Select the policy whose <strong id="mrs_01_1861__b1725014389262">Policy Name</strong> is <strong id="mrs_01_1861__b14250163810269">all - consumergroup</strong> and click <span><img id="mrs_01_1861__image18893742335" src="en-us_image_0000001296090048.png"></span> to edit the policy.</li><li id="mrs_01_1861__li1189364211310">In <strong id="mrs_01_1861__b94673593264">consumergroup</strong>, configure the consumer group to be managed.</li><li id="mrs_01_1861__li38939424315">In the <strong id="mrs_01_1861__b665460122720">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1861__b26599015275">Select User</strong> drop-down list.</li><li id="mrs_01_1861__li58934427319">Click <strong id="mrs_01_1861__b97507212271">Add Permissions</strong> and select <strong id="mrs_01_1861__b1075122182719">Consume</strong>.</li></ol>
+<div class="note" id="mrs_01_1861__note1017224913611"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1861__p017317491069">After a user is granted with the <strong id="mrs_01_1861__b15121131316274">Consume</strong> permission of <strong id="mrs_01_1861__b13245111832710">ConsumerGroup</strong>, the user is also granted with the <strong id="mrs_01_1861__b936692318276">Describe</strong> permission.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1861__row169716541591"><td class="cellrowborder" valign="top" width="36.059999999999995%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.1 "><p id="mrs_01_1861__p12697125418910">Setting the permission for a user to delete ConsumerGroup Offsets</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.94%" headers="mcps1.3.3.2.4.2.4.1.2.3.1.2 "><ol type="a" id="mrs_01_1861__ol959711441014"><li id="mrs_01_1861__li12597104161010">On the home page, click the component plug-in name in the <strong id="mrs_01_1861__b94191018103113">KAFKA</strong> area, for example, <strong id="mrs_01_1861__b242017184317">Kafka</strong>.</li><li id="mrs_01_1861__li5597043102">Select the policy whose <strong id="mrs_01_1861__b8461104482710">Policy Name</strong> is <strong id="mrs_01_1861__b1246118448278">all - consumergroup</strong> and click <span><img id="mrs_01_1861__image2597542106" src="en-us_image_0000001349289357.png"></span> to edit the policy.</li><li id="mrs_01_1861__li3597249105">In <strong id="mrs_01_1861__b102671500285">consumergroup</strong>, configure the consumer group to be managed.</li><li id="mrs_01_1861__li1859754181011">In the <strong id="mrs_01_1861__b71094232814">Allow Conditions</strong> area, select a user from the <strong id="mrs_01_1861__b41141242817">Select User</strong> drop-down list.</li><li id="mrs_01_1861__li359718416101">Click <strong id="mrs_01_1861__b12489133152812">Add Permissions</strong> and select <strong id="mrs_01_1861__b174904319283">Delete</strong>.</li></ol>
+<div class="note" id="mrs_01_1861__note1449524611010"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1861__p1649511469103">When a user is granted with the <strong id="mrs_01_1861__b1047111019287">Delete</strong> permission of <strong id="mrs_01_1861__b15741614122810">ConsumerGroup</strong>, the user is also granted with the <strong id="mrs_01_1861__b93501818172810">Describe</strong> permission.</p>
+</div></div>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</p></li><li id="mrs_01_1861__li1171204215226"><span>(Optional) Add the validity period of the policy. Click <strong id="mrs_01_1861__b765312381610">Add Validity period</strong> in the upper right corner of the page, set <strong id="mrs_01_1861__b4659113817617">Start Time</strong> and <strong id="mrs_01_1861__b1665911384610">End Time</strong>, and select <strong id="mrs_01_1861__b20659173810616">Time Zone</strong>. Click <strong id="mrs_01_1861__b353992143119">Save</strong>. To add multiple policy validity periods, click <span><img id="mrs_01_1861__en-us_topic_0241932507_image15741956174617" src="en-us_image_0000001349169793.png"></span>. To delete a policy validity period, click <span><img id="mrs_01_1861__en-us_topic_0241932507_image9741115619467" src="en-us_image_0000001295930228.png"></span>.</span></li><li id="mrs_01_1861__li18337132412418"><span>Click <strong id="mrs_01_1861__b278915515719">Add</strong> to view the basic information about the policy in the policy list. After the policy takes effect, check whether the related permissions are normal.</span><p><p id="mrs_01_1861__en-us_topic_0241932507_p63219632216">To disable a policy, click <span><img id="mrs_01_1861__en-us_topic_0241932507_image1876104732217" src="en-us_image_0000001348770089.png"></span> to edit the policy and set the policy to <strong id="mrs_01_1861__b6202627143110">Disabled</strong>.</p>
+<p id="mrs_01_1861__en-us_topic_0241932507_p1156483182316">If a policy is no longer used, click <span><img id="mrs_01_1861__en-us_topic_0241932507_image79841567249" src="en-us_image_0000001296090060.png"></span> to delete it.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1849.html">Using Ranger (MRS 3.x)</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1863"></a><a name="mrs_01_1863"></a>
+
+<h1 class="topictitle1">Adding a Ranger Access Permission Policy for Storm</h1>
+<div id="body1595917979464"><div class="section" id="mrs_01_1863__section1773015413812"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1863__p145912965417">The <span id="mrs_01_1863__ph1389213457234">Ranger</span><span id="mrs_01_1863__ph733184682310"> </span>administrator can use Ranger to set permissions for Storm users.</p>
+</div>
+<div class="section" id="mrs_01_1863__section11493172153315"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1863__ul5357197143515"><li id="mrs_01_1863__li735717193519">The Ranger service has been installed and is running properly.</li><li id="mrs_01_1863__li19563173342811">You have created users, user groups, or roles for which you want to configure permissions.</li><li id="mrs_01_1863__li2938102915211">The Ranger authentication function has been enabled on the page. The option in the following figure controls whether to enable the Ranger plug-in for permission control. If the function is enabled, the Ranger authentication is used. Otherwise, the authentication mechanism of the component is used.</li></ul>
+</div>
+<div class="section" id="mrs_01_1863__section1634517215474"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1863__ol1374718171013"><li id="mrs_01_1863__li181773582294"><span>Log in to the Ranger web UI. Click <strong id="mrs_01_1863__b16232182211594">Storm</strong> in the <strong id="mrs_01_1863__b16233132295917">STORM</strong> area on the homepage.</span></li><li id="mrs_01_1863__li62151559132918"><span>Click <strong id="mrs_01_1863__b5588184175916">Add New Policy</strong> to add a Storm permission control policy.</span></li><li id="mrs_01_1863__li2838111393019"><span>Configure the parameters listed in the table below based on the service demands.</span><p>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1863__table13041634123020" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Storm permission parameters</caption><thead align="left"><tr id="mrs_01_1863__row33045341301"><th align="left" class="cellrowborder" valign="top" width="37.13%" id="mcps1.3.3.2.3.2.1.2.3.1.1"><p id="mrs_01_1863__p250385903017">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="62.870000000000005%" id="mcps1.3.3.2.3.2.1.2.3.1.2"><p id="mrs_01_1863__p1750345915308">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1863__row15796155031815"><td class="cellrowborder" valign="top" width="37.13%" headers="mcps1.3.3.2.3.2.1.2.3.1.1 "><p id="mrs_01_1863__p4307132571818">Policy Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.870000000000005%" headers="mcps1.3.3.2.3.2.1.2.3.1.2 "><p id="mrs_01_1863__p16307172521816">IP address filtering policy, which can be customized. You can enter one or more IP addresses or IP address segments. The IP address can contain the wildcard character (*), for example, <strong id="mrs_01_1863__b157561051101815">192.168.1.10</strong>,<strong id="mrs_01_1863__b14756135112181">192.168.1.20</strong>, or <strong id="mrs_01_1863__b1975685141810">192.168.1.*</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1863__row1586512681819"><td class="cellrowborder" valign="top" width="37.13%" headers="mcps1.3.3.2.3.2.1.2.3.1.1 "><p id="mrs_01_1863__p1209133121812">Policy Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.870000000000005%" headers="mcps1.3.3.2.3.2.1.2.3.1.2 "><p id="mrs_01_1863__p29541331185710">Policy name, which can be customized and must be unique in the service.</p>
+<p id="mrs_01_1863__p486512651811">The <span class="parmname" id="mrs_01_1863__parmname540281464010"><b>include</b></span> policy applies to the current input object, and the <span class="parmname" id="mrs_01_1863__parmname15403151454013"><b>exclude</b></span> policy applies to objects other than the current input object.</p>
+</td>
+</tr>
+<tr id="mrs_01_1863__row0865146151817"><td class="cellrowborder" valign="top" width="37.13%" headers="mcps1.3.3.2.3.2.1.2.3.1.1 "><p id="mrs_01_1863__p14865186101818">Policy Label</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.870000000000005%" headers="mcps1.3.3.2.3.2.1.2.3.1.2 "><p id="mrs_01_1863__p38659618181">A label specified for the current policy. You can search for reports and filter policies based on labels.</p>
+</td>
+</tr>
+<tr id="mrs_01_1863__row58654614189"><td class="cellrowborder" valign="top" width="37.13%" headers="mcps1.3.3.2.3.2.1.2.3.1.1 "><p id="mrs_01_1863__p128651065188">Storm Topology</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.870000000000005%" headers="mcps1.3.3.2.3.2.1.2.3.1.2 "><p id="mrs_01_1863__p1186517617184">Name of the topology to which the current policy applies. One or more values can be entered.</p>
+</td>
+</tr>
+<tr id="mrs_01_1863__row148652691810"><td class="cellrowborder" valign="top" width="37.13%" headers="mcps1.3.3.2.3.2.1.2.3.1.1 "><p id="mrs_01_1863__p9568144293217">Description</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.870000000000005%" headers="mcps1.3.3.2.3.2.1.2.3.1.2 "><p id="mrs_01_1863__p98652631813">Policy description.</p>
+</td>
+</tr>
+<tr id="mrs_01_1863__row330483473019"><td class="cellrowborder" valign="top" width="37.13%" headers="mcps1.3.3.2.3.2.1.2.3.1.1 "><p id="mrs_01_1863__p1761012195481">Audit Logging</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.870000000000005%" headers="mcps1.3.3.2.3.2.1.2.3.1.2 "><p id="mrs_01_1863__p106091219104812">Whether to audit the policy.</p>
+</td>
+</tr>
+<tr id="mrs_01_1863__row10304163418303"><td class="cellrowborder" valign="top" width="37.13%" headers="mcps1.3.3.2.3.2.1.2.3.1.1 "><p id="mrs_01_1863__p360801934815">Allow Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.870000000000005%" headers="mcps1.3.3.2.3.2.1.2.3.1.2 "><p id="mrs_01_1863__p18991137164717">Policy allowed condition. You can configure permissions and exceptions allowed by the policy.</p>
+<p id="mrs_01_1863__p1819113143111">In the <strong id="mrs_01_1863__b175153552184">Select Role</strong>, <strong id="mrs_01_1863__b9519175561813">Select Group</strong>, and <strong id="mrs_01_1863__b185196553188">Select User</strong> columns, select the role, user group, or user to which the permission is to be granted, click <strong id="mrs_01_1863__b17520955181820">Add Conditions</strong>, add the IP address range to which the policy applies, and click <strong id="mrs_01_1863__b252075511188">Add Permissions</strong> to add the corresponding permissions.</p>
+<ul id="mrs_01_1863__ul183931610151418"><li id="mrs_01_1863__li2039341013144"><strong id="mrs_01_1863__b618713331215">Submit Topology</strong>: Submit a topology.<div class="note" id="mrs_01_1863__note0621817182"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1863__p957913214189">The Submit Topology permission takes effect only when <strong id="mrs_01_1863__b031625111212">Storm Topology</strong> is set to <strong id="mrs_01_1863__b232210516215">*</strong>.</p>
+</div></div>
+</li><li id="mrs_01_1863__li198521174329"><strong id="mrs_01_1863__b1109128121211">File Upload</strong>: Upload a file.</li><li id="mrs_01_1863__li1989492010329"><strong id="mrs_01_1863__b182831611151213">File Download</strong>: Download a file.</li><li id="mrs_01_1863__li97666281328"><strong id="mrs_01_1863__b89138133120">Kill Topology</strong>: Delete a topology.</li><li id="mrs_01_1863__li4492203363214"><strong id="mrs_01_1863__b1955911701219">Rebalance</strong>: Perform the rebalance operation.</li><li id="mrs_01_1863__li1868163813324"><strong id="mrs_01_1863__b108236206126">Activate</strong>: Activate the topology permission.</li><li id="mrs_01_1863__li1586994283213"><strong id="mrs_01_1863__b3877182351218">Deactivate</strong>: Deactivate the topology permission.</li><li id="mrs_01_1863__li496454815324"><strong id="mrs_01_1863__b7361128141213">Get Topology Conf</strong>: Obtain topology configurations.</li><li id="mrs_01_1863__li137926520324"><strong id="mrs_01_1863__b106289314127">Get Topology</strong>: Obtain a topology.</li><li id="mrs_01_1863__li119826557321"><strong id="mrs_01_1863__b974973511219">Get User Topology</strong>: Obtain user's topology.</li><li id="mrs_01_1863__li197901031332"><strong id="mrs_01_1863__b2898038161212">Get Topology Info</strong>: Obtain topology information.</li><li id="mrs_01_1863__li8172214113310"><strong id="mrs_01_1863__b1137004218129">Upload New Credential</strong>: Upload a new credential.</li><li id="mrs_01_1863__li1247541184312"><strong id="mrs_01_1863__b17701019102312">Select/Deselect All</strong>: Select or deselect all.</li></ul>
+<p id="mrs_01_1863__p239612133812">To add multiple permission control rules, click <span><img id="mrs_01_1863__image839151219386" src="en-us_image_0000001348770097.png"></span>.</p>
+<p id="mrs_01_1863__p63931214386">If users or user groups in the current condition need to manage this policy, select <strong id="mrs_01_1863__b11241245137">Delegate Admin</strong>. These users will become the agent administrators. The agent administrators can update and delete this policy and create sub-policies based on the original policy.</p>
+</td>
+</tr>
+<tr id="mrs_01_1863__row130463413301"><td class="cellrowborder" valign="top" width="37.13%" headers="mcps1.3.3.2.3.2.1.2.3.1.1 "><p id="mrs_01_1863__p1360515199489">Deny Conditions</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.870000000000005%" headers="mcps1.3.3.2.3.2.1.2.3.1.2 "><p id="mrs_01_1863__p1799337194719">Policy rejection condition, which is used to configure the permissions and exceptions to be denied in the policy. The configuration method is similar to that of <strong id="mrs_01_1863__b33071856435">Allow Conditions</strong>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_1863__li1171204215226"><span>(Optional) Add the validity period of the policy. Click <strong id="mrs_01_1863__b15286139418">Add Validity period</strong> in the upper right corner of the page, set <strong id="mrs_01_1863__b20292531640">Start Time</strong> and <strong id="mrs_01_1863__b62931531147">End Time</strong>, and select <strong id="mrs_01_1863__b02941031441">Time Zone</strong>. Click <strong id="mrs_01_1863__b11108192014410">Save</strong>. To add multiple policy validity periods, click <span><img id="mrs_01_1863__en-us_topic_0241932507_image15741956174617" src="en-us_image_0000001349289377.png"></span>. To delete a policy validity period, click <span><img id="mrs_01_1863__en-us_topic_0241932507_image9741115619467" src="en-us_image_0000001349169805.png"></span>.</span></li><li id="mrs_01_1863__li1418573910418"><span>Click <strong id="mrs_01_1863__b2191172010420">Add</strong> to view the basic information about the policy in the policy list. After the policy takes effect, check whether the related permissions are normal.</span><p><p id="mrs_01_1863__en-us_topic_0241932507_p63219632216">To disable a policy, click <span><img id="mrs_01_1863__en-us_topic_0241932507_image1876104732217" src="en-us_image_0000001295770280.png"></span> to edit the policy and set the policy to <strong id="mrs_01_1863__b4745022114419">Disabled</strong>.</p>
+<p id="mrs_01_1863__en-us_topic_0241932507_p1156483182316">If a policy is no longer used, click <span><img id="mrs_01_1863__en-us_topic_0241932507_image79841567249" src="en-us_image_0000001349169809.png"></span> to delete it.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1849.html">Using Ranger (MRS 3.x)</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1865"></a><a name="mrs_01_1865"></a>
+
+<h1 class="topictitle1">Ranger Log Overview</h1>
+<div id="body1595917982072"><div class="section" id="mrs_01_1865__sc9b23b30799b48d18a62022db227618d"><h4 class="sectiontitle">Log Description</h4><p id="mrs_01_1865__en-us_topic_0046736733_p2413464"><strong id="mrs_01_1865__b168234625619">Log path</strong>: The default storage path of Ranger logs is <strong id="mrs_01_1865__b768714611569">/var/log/Bigdata/ranger/</strong><em id="mrs_01_1865__i19688124611566">Role name</em>.</p>
+<ul id="mrs_01_1865__en-us_topic_0046736733_ul61272867"><li id="mrs_01_1865__en-us_topic_0046736733_li14584895">RangerAdmin: /var/log/Bigdata/ranger/rangeradmin (run logs)</li><li id="mrs_01_1865__en-us_topic_0046736733_li64155199">TagSync: /var/log/Bigdata/ranger/tagsync (run logs)</li><li id="mrs_01_1865__en-us_topic_0046736733_li40525883">UserSync: /var/log/Bigdata/ranger/usersync (run logs)</li></ul>
+<p id="mrs_01_1865__en-us_topic_0046736733_p61371058"><strong id="mrs_01_1865__b320511565711">Log archive rule</strong>: The automatic compression and archive function is enabled for Ranger logs. By default, when the size of a log file exceeds 20 MB, the log file is automatically compressed. The naming rule of the compressed log file is as follows: <em id="mrs_01_1865__i112109555717">&lt;Original log file name&gt;-&lt;yyyy-mm-dd_hh-mm-ss&gt;.[ID]</em><strong id="mrs_01_1865__b021115515575">.log.zip</strong>. A maximum of 20 compressed file are retained.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1865__en-us_topic_0046736733_table4999822" frame="border" border="1" rules="all"><caption><b>Table 1 </b>HDFS log list</caption><thead align="left"><tr id="mrs_01_1865__en-us_topic_0046736733_row22724481"><th align="left" class="cellrowborder" valign="top" width="27.27272727272727%" id="mcps1.3.1.5.2.4.1.1"><p id="mrs_01_1865__en-us_topic_0046736733_p28743664">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="39.39393939393939%" id="mcps1.3.1.5.2.4.1.2"><p id="mrs_01_1865__en-us_topic_0046736733_p46535472">Name</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.1.5.2.4.1.3"><p id="mrs_01_1865__en-us_topic_0046736733_p11276905">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1865__en-us_topic_0046736733_row41014082"><td class="cellrowborder" rowspan="8" valign="top" width="27.27272727272727%" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1865__en-us_topic_0046736733_p33806307">RangerAdmin run log file</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.39393939393939%" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1865__en-us_topic_0046736733_p53956341">access_log.<em id="mrs_01_1865__i12755926185911">&lt;DATE&gt;</em>.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.1.5.2.4.1.3 "><p id="mrs_01_1865__p4865144295920">Tomcat access log</p>
+</td>
+</tr>
+<tr id="mrs_01_1865__en-us_topic_0046736733_row8378525"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1865__en-us_topic_0046736733_p7571935">catalina.out</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1865__p286410428597">Tomcat service run log</p>
+</td>
+</tr>
+<tr id="mrs_01_1865__en-us_topic_0046736733_row17014337"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1865__en-us_topic_0046736733_p35984094">gc-worker.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1865__p1286334216593">RangerAdmin garbage collection (GC) log</p>
+</td>
+</tr>
+<tr id="mrs_01_1865__en-us_topic_0046736733_row59947829"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1865__p1573114495913">postinstallDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1865__p48631342175913">Work log generated after an instance is started before installation</p>
+</td>
+</tr>
+<tr id="mrs_01_1865__en-us_topic_0046736733_row1020452"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1865__p177311044155919">prestartDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1865__p16862134255919">Log that records preparations before instance startup</p>
+</td>
+</tr>
+<tr id="mrs_01_1865__en-us_topic_0046736733_row60077381"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1865__p177301447592">ranger-admin-<em id="mrs_01_1865__i5243113215016">&lt;hostname&gt;</em>.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1865__p14861114216594">RangerAdmin run log</p>
+</td>
+</tr>
+<tr id="mrs_01_1865__en-us_topic_0046736733_row29798422"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1865__p273094485912">ranger_admin_sql-<em id="mrs_01_1865__i12395153819020">&lt;hostname&gt;</em>.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1865__p1686104215910">RangerAdmin log used to retrieve DBService</p>
+</td>
+</tr>
+<tr id="mrs_01_1865__en-us_topic_0046736733_row39743256"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1865__p1730104445917">startDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1865__p2086019429594">Instance startup log</p>
+</td>
+</tr>
+<tr id="mrs_01_1865__en-us_topic_0046736733_row2581871"><td class="cellrowborder" rowspan="7" valign="top" width="27.27272727272727%" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1865__p192638484019">TagSync run log</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.39393939393939%" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1865__p16729184419591">cleanupDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.1.5.2.4.1.3 "><p id="mrs_01_1865__p985994245910">Instance clearing log</p>
+</td>
+</tr>
+<tr id="mrs_01_1865__en-us_topic_0046736733_row52714937"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1865__p17729944185912">gc-worker.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1865__p2858154265917">GC log file of an instance</p>
+</td>
+</tr>
+<tr id="mrs_01_1865__en-us_topic_0046736733_row6170971"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1865__p3728044155913">postinstallDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1865__p2858154215596">Work log generated after an instance is started before installation</p>
+</td>
+</tr>
+<tr id="mrs_01_1865__en-us_topic_0046736733_row55692015"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1865__p1372813448594">prestartDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1865__p17857442155910">Log that records preparations before instance startup</p>
+</td>
+</tr>
+<tr id="mrs_01_1865__en-us_topic_0046736733_row22169086"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1865__p137281344145915">ranger-tagsync-<em id="mrs_01_1865__i4200182217318">&lt;hostname&gt;</em>.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1865__p28561842155918">TagSync run log</p>
+</td>
+</tr>
+<tr id="mrs_01_1865__en-us_topic_0046736733_row36893205"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1865__p1972784445917">startDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1865__p188558424596">Instance startup log</p>
+</td>
+</tr>
+<tr id="mrs_01_1865__en-us_topic_0046736733_row18958665"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1865__p197271544185916">tagsync.out</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1865__p1283564285916">TagSync run log</p>
+</td>
+</tr>
+<tr id="mrs_01_1865__en-us_topic_0046736733_row47300984"><td class="cellrowborder" rowspan="7" valign="top" width="27.27272727272727%" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1865__p7263648302">UserSync run log</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.39393939393939%" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1865__p4727134414598">auth.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.1.5.2.4.1.3 "><p id="mrs_01_1865__p4180194612593">UnixAuth service run log</p>
+</td>
+</tr>
+<tr id="mrs_01_1865__en-us_topic_0046736733_row37043359"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1865__p4726164420596">cleanupDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1865__p1179114685914">Instance clearing log</p>
+</td>
+</tr>
+<tr id="mrs_01_1865__en-us_topic_0046736733_row27006329"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1865__p472694418592">gc-worker.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1865__p517911467596">GC log file of an instance</p>
+</td>
+</tr>
+<tr id="mrs_01_1865__row069818614718"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1865__p172634425914">postinstallDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1865__p1217818467591">Work log generated after an instance is started before installation</p>
+</td>
+</tr>
+<tr id="mrs_01_1865__row1262041612475"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1865__p15706644165915">prestartDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1865__p191781546185910">Log that records preparations before instance startup</p>
+</td>
+</tr>
+<tr id="mrs_01_1865__row786571154720"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1865__p77427441422">ranger-usersync-<em id="mrs_01_1865__i1681813242312">&lt;hostname&gt;</em>.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1865__p127411744823">UserSync run log</p>
+</td>
+</tr>
+<tr id="mrs_01_1865__row1024413462225"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_1865__p15741184417217">startDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_1865__p1674004413214">Instance startup log</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1865__section125611913175319"><h4 class="sectiontitle">Log Levels</h4><p id="mrs_01_1865__en-us_topic_0046736733_p57126295"><a href="#mrs_01_1865__t9a69df8da9a84f41bb6fd3e008d7a3b8">Table 2</a> describes the log levels provided by HDFS. The priorities of log levels are FATAL, ERROR, WARN, INFO, and DEBUG in descending order. Logs whose levels are higher than or equal to the specified level are printed. The number of printed logs decreases as the specified log level increases.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1865__t9a69df8da9a84f41bb6fd3e008d7a3b8"></a><a name="t9a69df8da9a84f41bb6fd3e008d7a3b8"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1865__t9a69df8da9a84f41bb6fd3e008d7a3b8" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Log levels</caption><thead align="left"><tr id="mrs_01_1865__en-us_topic_0046736733_row11055947"><th align="left" class="cellrowborder" valign="top" width="40.400000000000006%" id="mcps1.3.2.3.2.3.1.1"><p id="mrs_01_1865__en-us_topic_0046736733_p23116495"><strong id="mrs_01_1865__b99417231012">Level</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="59.599999999999994%" id="mcps1.3.2.3.2.3.1.2"><p id="mrs_01_1865__en-us_topic_0046736733_p7600288"><strong id="mrs_01_1865__b47601191309">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1865__en-us_topic_0046736733_row37683526"><td class="cellrowborder" valign="top" width="40.400000000000006%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_1865__p1273412281084">FATAL</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.599999999999994%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_1865__p13734828287">Logs of this level record fatal error information about the current event processing that may result in a system crash.</p>
+</td>
+</tr>
+<tr id="mrs_01_1865__en-us_topic_0046736733_row45974909"><td class="cellrowborder" valign="top" width="40.400000000000006%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_1865__p773419285814">ERROR</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.599999999999994%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_1865__p1873482820810">Logs of this level record error information about the current event processing, which indicates that system running is abnormal.</p>
+</td>
+</tr>
+<tr id="mrs_01_1865__en-us_topic_0046736733_row17538258"><td class="cellrowborder" valign="top" width="40.400000000000006%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_1865__p1873418287810">WARN</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.599999999999994%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_1865__p97348282815">Logs of this level record abnormal information about the current event processing. These abnormalities will not result in system faults.</p>
+</td>
+</tr>
+<tr id="mrs_01_1865__en-us_topic_0046736733_row59755124"><td class="cellrowborder" valign="top" width="40.400000000000006%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_1865__p0734182812811">INFO</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.599999999999994%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_1865__p97342282813">Logs of this level record normal running status information about the system and events.</p>
+</td>
+</tr>
+<tr id="mrs_01_1865__en-us_topic_0046736733_row30479638"><td class="cellrowborder" valign="top" width="40.400000000000006%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_1865__p773414286814">DEBUG</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.599999999999994%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_1865__p167347289818">Logs of this level record the system information and system debugging information.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1865__en-us_topic_0046736733_p66684983">To modify log levels, perform the following operations:</p>
+<ol id="mrs_01_1865__ol2049469418545"><li id="mrs_01_1865__li2783786118545"><span>Log in to FusionInsight Manager.</span></li><li id="mrs_01_1865__li4921415818545"><span>Choose <span id="mrs_01_1865__text89365426115"><strong id="mrs_01_1865__b093684216117">Cluster</strong></span> &gt; <strong id="mrs_01_1865__b1936174212119">Services</strong> &gt; <strong id="mrs_01_1865__b793644210116">Ranger</strong> &gt; <strong id="mrs_01_1865__b199376423120">Configurations</strong>.</span></li><li id="mrs_01_1865__li4027424618545"><span>Select <strong id="mrs_01_1865__b184951350712">All Configurations</strong>.</span></li><li id="mrs_01_1865__li2692390118545"><span>On the menu bar on the left, select the log menu of the target role.</span></li><li id="mrs_01_1865__li4098852518545"><span>Select a desired log level.</span></li><li id="mrs_01_1865__li1719026918545"><span>Click <strong id="mrs_01_1865__b186319554112">Save</strong>. In the displayed dialog box, click <strong id="mrs_01_1865__b986805510118">OK</strong> to make the configuration take effect.</span><p><div class="note" id="mrs_01_1865__note3173619118545"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_1865__p3335240518545">The configurations take effect immediately without the need to restart the service.</p>
+</div></div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_1865__sb12fb11bc4f74242902e28769eaf5e0f"><h4 class="sectiontitle">Log Formats</h4><p id="mrs_01_1865__en-us_topic_0046736733_p33054158">The following table lists the Ranger log formats.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1865__en-us_topic_0046736733_table29051967" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Log formats</caption><thead align="left"><tr id="mrs_01_1865__en-us_topic_0046736733_row53756949"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.3.2.4.1.1"><p id="mrs_01_1865__en-us_topic_0046736733_p59345638">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.3.2.4.1.2"><p id="mrs_01_1865__en-us_topic_0046736733_p42267412">Format</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.3.2.4.1.3"><p id="mrs_01_1865__en-us_topic_0046736733_p1108358">Example Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1865__en-us_topic_0046736733_row22668197"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1865__en-us_topic_0046736733_p24184664">Run log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1865__en-us_topic_0046736733_p12800776">&lt;<em id="mrs_01_1865__i105215201425">yyyy-MM-dd HH:mm:ss,SSS</em>&gt;|&lt;<em id="mrs_01_1865__i105713205214">Log level</em>&gt;|&lt;<em id="mrs_01_1865__i175710201529">Name of the thread that generates the log</em>&gt;|&lt;<em id="mrs_01_1865__i7572201623">Message in the log</em>&gt;|&lt;<em id="mrs_01_1865__i85712201828">Location where the log event occurs</em>&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1865__en-us_topic_0046736733_p30229916">2020-04-29 20:09:28,543 | INFO  | http-bio-21401-exec-56 | Request comes from API call, skip cas filter. | CasAuthenticationFilterWrapper.java:25</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1849.html">Using Ranger (MRS 3.x)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1866.html b/docs/mrs/component-operation-guide/mrs_01_1866.html
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index 000000000..9b0ef58ef
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+<a name="mrs_01_1866"></a><a name="mrs_01_1866"></a>
+
+<h1 class="topictitle1">Common Issues About Ranger</h1>
+<div id="body1595917982073"><p id="mrs_01_1866__p8060118"></p>
+</div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1867.html">Why Ranger Startup Fails During the Cluster Installation?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1868.html">How Do I Determine Whether the Ranger Authentication Is Used for a Service?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2300.html">Why Cannot a New User Log In to Ranger After Changing the Password?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2355.html">When an HBase Policy Is Added or Modified on Ranger, Wildcard Characters Cannot Be Used to Search for Existing HBase Tables</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1849.html">Using Ranger (MRS 3.x)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1867.html b/docs/mrs/component-operation-guide/mrs_01_1867.html
new file mode 100644
index 000000000..08e5e4515
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1867.html
@@ -0,0 +1,14 @@
+<a name="mrs_01_1867"></a><a name="mrs_01_1867"></a>
+
+<h1 class="topictitle1">Why Ranger Startup Fails During the Cluster Installation?</h1>
+<div id="body1595917982074"><div class="section" id="mrs_01_1867__s8ca259b185b249ea993481ef18fbe589"><h4 class="sectiontitle">Problem</h4><p id="mrs_01_1867__af19157bd592044eaa44c1630dcdb96f2">During cluster installation, Ranger fails to be started, and the error message "ERROR: cannot drop sequence X_POLICY_REF_ACCESS_TYPE_SEQ " is displayed in the task list of the Manager process. How do I resolve this problem and properly install Ranger?</p>
+</div>
+<div class="section" id="mrs_01_1867__sb821aee499864a0598739905b0c6889b"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1867__ae19a5f195b1442dd9d909020a5e3b4c4">This issue may occur when two RangerAmdin instances are installed. If the instance installation fails, manually restart one RangerAdmin instance and then restart the other instance.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1866.html">Common Issues About Ranger</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1868.html b/docs/mrs/component-operation-guide/mrs_01_1868.html
new file mode 100644
index 000000000..a8c2a72c7
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1868.html
@@ -0,0 +1,15 @@
+<a name="mrs_01_1868"></a><a name="mrs_01_1868"></a>
+
+<h1 class="topictitle1">How Do I Determine Whether the Ranger Authentication Is Used for a Service?</h1>
+<div id="body1598690367579"><div class="section" id="mrs_01_1868__s8ca259b185b249ea993481ef18fbe589"><h4 class="sectiontitle">Question</h4><p id="mrs_01_1868__af19157bd592044eaa44c1630dcdb96f2">How do I determine whether the Ranger authentication is enabled for a service that supports the authentication?</p>
+</div>
+<div class="section" id="mrs_01_1868__sb821aee499864a0598739905b0c6889b"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_1868__ae19a5f195b1442dd9d909020a5e3b4c4">Log in to FusionInsight Manager and choose <strong id="mrs_01_1868__b175912168277">Cluster</strong> &gt; <strong id="mrs_01_1868__b689311852713">Services</strong> &gt; <em id="mrs_01_1868__i1137192512711">Name of the desired service</em>. On the service details page, click <strong id="mrs_01_1868__b1339846152810">More</strong> and check whether the <strong id="mrs_01_1868__b20251958122913">Enable Ranger</strong> option is available. </p>
+<ul id="mrs_01_1868__ul179926373473"><li id="mrs_01_1868__li399273784710">If yes, the Ranger authentication plug-in is not enabled for the service. You can click <strong id="mrs_01_1868__b2501028193312">Enable Ranger</strong> to enable the function.</li><li id="mrs_01_1868__li18408171264810">If no, the Ranger authentication plug-in has been enabled for the service. You can configure the permission policy for accessing the service resources on the Ranger management page.</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1866.html">Common Issues About Ranger</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1925.html b/docs/mrs/component-operation-guide/mrs_01_1925.html
new file mode 100644
index 000000000..9f542239c
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@@ -0,0 +1,11 @@
+<a name="mrs_01_1925"></a><a name="mrs_01_1925"></a>
+
+<h1 class="topictitle1">Precautions</h1>
+<div id="body1596112414559"><p id="mrs_01_1925__p6609152420347">This section applies to versions earlier than MRS 3.x.</p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0589.html">Using Spark</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1926.html b/docs/mrs/component-operation-guide/mrs_01_1926.html
new file mode 100644
index 000000000..ca9fe7f29
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1926.html
@@ -0,0 +1,26 @@
+<a name="mrs_01_1926"></a><a name="mrs_01_1926"></a>
+
+<h1 class="topictitle1">Using Spark2x</h1>
+<div id="body1595920203714"><p id="mrs_01_1926__p8060118"></p>
+</div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1927.html">Precautions</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1928.html">Basic Operation</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1971.html">Spark2x Logs</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1972.html">Obtaining Container Logs of a Running Spark Application</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1973.html">Small File Combination Tools</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2362.html">Using CarbonData for First Query</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1974.html">Spark2x Performance Tuning</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2002.html">Common Issues About Spark2x</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1927.html b/docs/mrs/component-operation-guide/mrs_01_1927.html
new file mode 100644
index 000000000..2e01988f5
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1927.html
@@ -0,0 +1,11 @@
+<a name="mrs_01_1927"></a><a name="mrs_01_1927"></a>
+
+<h1 class="topictitle1">Precautions</h1>
+<div id="body1596112414559"><p id="mrs_01_1927__p6609152420347">This section applies to MRS 3.<em id="mrs_01_1927__i17222103065017">x</em> or later clusters.</p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1926.html">Using Spark2x</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1928.html b/docs/mrs/component-operation-guide/mrs_01_1928.html
new file mode 100644
index 000000000..7b3867584
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1928.html
@@ -0,0 +1,29 @@
+<a name="mrs_01_1928"></a><a name="mrs_01_1928"></a>
+
+<h1 class="topictitle1">Basic Operation</h1>
+<div id="body1595920203715"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1929.html">Getting Started</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1930.html">Configuring Parameters Rapidly</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1931.html">Common Parameters</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1933.html">Spark on HBase Overview and Basic Applications</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1934.html">Spark on HBase V2 Overview and Basic Applications</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1935.html">SparkSQL Permission Management(Security Mode)</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1941.html">Scenario-Specific Configuration</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2317.html">Adapting to the Third-party JDK When Ranger Is Used</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1926.html">Using Spark2x</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1929.html b/docs/mrs/component-operation-guide/mrs_01_1929.html
new file mode 100644
index 000000000..138941f4b
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1929.html
@@ -0,0 +1,70 @@
+<a name="mrs_01_1929"></a><a name="mrs_01_1929"></a>
+
+<h1 class="topictitle1">Getting Started</h1>
+<div id="body1595920205285"><p id="mrs_01_1929__a6e676d7951ba4e9e95db18a605c53664">This section describes how to use Spark2x to submit Spark applications, including Spark Core and Spark SQL. Spark Core is the kernel module of Spark. It executes tasks and is used to compile Spark applications. Spark SQL is a module that executes SQL statements. </p>
+<div class="section" id="mrs_01_1929__s3f3243f155584adea798b1be45b9e386"><h4 class="sectiontitle">Scenario Description</h4><p id="mrs_01_1929__af9124550b57d4389bee89da9987886db">Develop a Spark application to perform the following operations on logs about netizens' dwell time for online shopping on a weekend.</p>
+<ul id="mrs_01_1929__udba8bb2c79744ce3aecb327e8dc39ca9"><li id="mrs_01_1929__l8cd8fb6e3df74c3f9e747200465b3f8c">Collect statistics on female netizens who dwell on online shopping for more than 2 hours on the weekend.</li><li id="mrs_01_1929__lf3367d7979de4740abda4d057da37869">The first column in the log file records names, the second column records genders, and the third column records the dwell durations in the unit of minute. Three columns are separated by comma (,).</li></ul>
+<p id="mrs_01_1929__a81dccf98f1804cbdbbe5bd5d1b1633af"><strong id="mrs_01_1929__b23263533011281">log1.txt</strong>: logs collected on Saturday</p>
+<pre class="screen" id="mrs_01_1929__s655d928a134a47af95285fbc7e2dd4e0">LiuYang,female,20
+YuanJing,male,10
+GuoYijun,male,5
+CaiXuyu,female,50
+Liyuan,male,20
+FangBo,female,50
+LiuYang,female,20
+YuanJing,male,10
+GuoYijun,male,50
+CaiXuyu,female,50
+FangBo,female,60</pre>
+<p id="mrs_01_1929__a9e1580a3a62a4a349e270a771d41ff3d"><strong id="mrs_01_1929__b68315760511281">log2.txt</strong>: logs collected on Sunday</p>
+<pre class="screen" id="mrs_01_1929__s6cf74abb192b4a80aa908eac65c4d0c1">LiuYang,female,20
+YuanJing,male,10
+CaiXuyu,female,50
+FangBo,female,50
+GuoYijun,male,5
+CaiXuyu,female,50
+Liyuan,male,20
+CaiXuyu,female,50
+FangBo,female,50
+LiuYang,female,20
+YuanJing,male,10
+FangBo,female,50
+GuoYijun,male,50
+CaiXuyu,female,50
+FangBo,female,60 </pre>
+</div>
+<div class="section" id="mrs_01_1929__s896a88005fdf49d3bd7d0e30e7609222"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1929__u8238a509ce324ac6bca5f74035928e23"><li id="mrs_01_1929__l4f8e01e9ce8f4c8dbf9190302d97f57d">On Manager, you have created a user and granted the HDFS, Yarn, Kafka, and Hive permissions to the user.</li><li id="mrs_01_1929__l289b916b9ceb4873b9d19a3b836bcaa9">You have installed and configured tools such as IntelliJ IDEA and JDK based on the development language.</li><li id="mrs_01_1929__l2362814fb4a94cfa98525cf9d6df7ac3">You have installed the Spark2x client and configured the client network connection.</li><li id="mrs_01_1929__lf629b14cfd4341ae8eeadd7e5335d503">For Spark SQL programs, you have started Spark SQL or Beeline on the client to enter SQL statements.</li></ul>
+</div>
+<div class="section" id="mrs_01_1929__sc5f99a209f004e958e5e2eaacd0f0ab8"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1929__o629d474c9d5142e8b1432ed6e721c9cd"><li id="mrs_01_1929__l77a871bc1c094dceaad5aad62c026a7e"><a name="mrs_01_1929__l77a871bc1c094dceaad5aad62c026a7e"></a><a name="l77a871bc1c094dceaad5aad62c026a7e"></a><span>Obtain the sample project and import it to IDEA. Import the JAR package on which the sample project depends. Use IDEA to configure and generate JAR packages.</span></li><li id="mrs_01_1929__lb7fcda0824644fa39186196187e1f0b9"><span>Prepare the data required by the sample project.</span><p><div class="p" id="mrs_01_1929__aea9125f048414a4e874a4bf11d05ca7e">Save the original log files in the scenario description to the HDFS system.<ol type="a" id="mrs_01_1929__o0bfe1121300b4b6ba949697e4155b678"><li id="mrs_01_1929__lc8e2ff515cd04ded9326569a61755e32">Create two text files (<strong id="mrs_01_1929__b76858671811281">input_data1.txt</strong> and <strong id="mrs_01_1929__b53126341411281">input_data2.txt</strong>) on the local host and copy the content in the <strong id="mrs_01_1929__b122801836711281">log1.txt</strong> and <strong id="mrs_01_1929__b206993422311281">log2.txt</strong> files to the <strong id="mrs_01_1929__b73621030211281">input_data1.txt</strong> and <strong id="mrs_01_1929__b174448241111281">input_data2.txt</strong> files, respectively.</li><li id="mrs_01_1929__l6e2b671e1384403da9edbe9fddac4872"><a name="mrs_01_1929__l6e2b671e1384403da9edbe9fddac4872"></a><a name="l6e2b671e1384403da9edbe9fddac4872"></a>Create the <strong id="mrs_01_1929__b813347311281">/tmp/input</strong> directory in HDFS, and upload <strong id="mrs_01_1929__b158014944311281">input_data1.txt</strong> and <strong id="mrs_01_1929__b149381990711281">input_data2.txt</strong> to the <strong id="mrs_01_1929__b9596624011281">/tmp/input</strong> directory:</li></ol>
+</div>
+</p></li><li id="mrs_01_1929__l96bf79434b2946cebb71d7ecf337af33"><span>Upload the generated JAR package to the Spark2x running environment (Spark2x client), for example, <span class="filepath" id="mrs_01_1929__f081cb81ca3f0446f9fb2e845efe2007f"><b>/opt/female</b></span>.</span></li><li id="mrs_01_1929__lf3302495e40a4d5dac621ffd778efc5e"><span>Go the client directory, configure the environment variables, and log in to the system. When you use a client to connect to a specific instance in a scenario where multiple Spark2x instances are installed or Spark and Spark2x instances are installed, run the following commands to load the environment variables of the instance.</span><p><p id="mrs_01_1929__a6b46c6126fde420dac710fe838fd6f94"><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1929__cmdname3607151193014">source bigdata_env</span></b></i></p>
+<p id="mrs_01_1929__p7260190175116"><b><span class="cmdname" id="mrs_01_1929__cmdname917417102820">source Spark2x/component_env</span></b></p>
+<p id="mrs_01_1929__a5ff6850adc834198baf031fd3a9c74d1"><strong id="mrs_01_1929__b17729121152415">kinit &lt;</strong><em id="mrs_01_1929__i37302182414">service user for authentication</em><strong id="mrs_01_1929__b273017120249">&gt;</strong></p>
+</p></li><li id="mrs_01_1929__l89b647b0710b42f9963e106c5825313d"><span>Run the following script in the <strong id="mrs_01_1929__b187681005911281">bin</strong> directory to submit the Spark application:</span><p><p id="mrs_01_1929__a2a583150840b49efbe07198ced5c22f2"><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1929__cmdname027042918305">spark-submit --class</span></b></i> <i><span class="varname" id="mrs_01_1929__v5189db801f3d4f95a3fe151dbda4f70b">com.xxxx.bigdata.spark.examples.FemaleInfoCollection</span></i> <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1929__cmdname1527092915309">--master yarn-client</span></b></i> <i><span class="varname" id="mrs_01_1929__v33a359a5cdb548c8bff0750a1475b29b">/opt/female/FemaleInfoCollection.jar &lt;inputPath&gt;</span></i></p>
+<div class="note" id="mrs_01_1929__note133928426112"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1929__ul1026784512136"><li id="mrs_01_1929__li9267124520137"><strong id="mrs_01_1929__b178345519581">FemaleInfoCollection.jar</strong> is the JAR package generated in <a href="#mrs_01_1929__l77a871bc1c094dceaad5aad62c026a7e">1</a>.</li><li id="mrs_01_1929__li11268154531312"><strong id="mrs_01_1929__b617901605910">&lt;inputPath&gt;</strong> is the directory created in <a href="#mrs_01_1929__l6e2b671e1384403da9edbe9fddac4872">2.b</a>.</li></ul>
+</div></div>
+</p></li><li id="mrs_01_1929__l57b093d8a7bf4d5a8a67ad089a0cdf1d"><span>(Optional) After calling the <strong id="mrs_01_1929__b177091202311281">spark-sql</strong> or <strong id="mrs_01_1929__b42303654111281">spark-beeline</strong> script in the <strong id="mrs_01_1929__b182449022511281">bin</strong> directory, directly enter SQL statements to perform operations such as query.</span><p><p id="mrs_01_1929__a9df43a9600f645c184d39c69531b735e">For example, create a table, insert a piece of data, and then query the table.</p>
+<pre class="screen" id="mrs_01_1929__sbaab35ab543745cf9eb544fccf63bd15">spark-sql&gt; CREATE TABLE TEST(NAME STRING, AGE INT);
+Time taken: 0.348 seconds
+spark-sql&gt;INSERT INTO TEST VALUES('Jack', 20);
+Time taken: 1.13 seconds
+spark-sql&gt; SELECT * FROM TEST;
+Jack      20
+Time taken: 0.18 seconds, Fetched 1 row(s)</pre>
+</p></li><li id="mrs_01_1929__ld86303b2b69d4ec3bfbdfd2b6317a90d"><span>View the running result of the Spark application.</span><p><ul id="mrs_01_1929__u6252f5bbd63843ffa6ae00a0dea12021"><li id="mrs_01_1929__la783f93744f744eda5a204ea60a76cef">View the running result data in a specified file.<p id="mrs_01_1929__afac2f708781f4a8394ed26bc618268a7"><a name="mrs_01_1929__la783f93744f744eda5a204ea60a76cef"></a><a name="la783f93744f744eda5a204ea60a76cef"></a>The storage path and format of the result data are specified by the Spark application.</p>
+</li><li id="mrs_01_1929__l6bddd238c440495e902ed2d5ba76340a">Check the running status on the web page.<ol type="a" id="mrs_01_1929__o72e870619b8349559a26a436e59d747a"><li id="mrs_01_1929__lae6f74a3590d4e33a6884886623f0abe">Log in to Manager. Select <strong id="mrs_01_1929__b123306341511281">Spark2x</strong> from the <strong id="mrs_01_1929__b188326740811281">Service</strong> drop-down list.</li></ol><ol type="a" start="2" id="mrs_01_1929__oa85e6c8cab4c40a7834831af85d74db3"><li id="mrs_01_1929__l08bc0abc862f41b5888e01883cb47b6f">Go to the Spark2x overview page and click an instance in the Spark web UI, for example, <strong id="mrs_01_1929__b102630116011281">JobHistory2x(host2)</strong>.</li><li id="mrs_01_1929__l4261f8e7632446a69d6e2f81c60a27f6">The History Server UI is displayed.<p id="mrs_01_1929__a629ed9416c6e405d8ab1670217411a3a"><a name="mrs_01_1929__l4261f8e7632446a69d6e2f81c60a27f6"></a><a name="l4261f8e7632446a69d6e2f81c60a27f6"></a>The History Server UI is used to display the status of Spark applications that are complete or incomplete.</p>
+<div class="fignone" id="mrs_01_1929__fig35497358166"><span class="figcap"><b>Figure 1 </b>History Server UI</span><br><span><img id="mrs_01_1929__image17621929191610" src="en-us_image_0000001439299573.png"></span></div>
+</li><li id="mrs_01_1929__l6ca5aead42e14bbc8354d709c1b35114">Select an application ID and click this page to go to the Spark UI of the application.<p id="mrs_01_1929__ac7da9f55d77940019569eb867d7f648e"><a name="mrs_01_1929__l6ca5aead42e14bbc8354d709c1b35114"></a><a name="l6ca5aead42e14bbc8354d709c1b35114"></a>Spark UI: used to display the status of running applications.</p>
+<div class="fignone" id="mrs_01_1929__fig7825164831912"><span class="figcap"><b>Figure 2 </b>Spark UI</span><br><span><img id="mrs_01_1929__image55054001913" src="en-us_image_0000001438291713.png"></span></div>
+</li></ol>
+</li><li id="mrs_01_1929__l6ba3c0fbf4934bec8fb6f1ec094b7c86">View Spark logs to learn application runtime conditions.<p id="mrs_01_1929__ad2660b2588a74495b3ba7ffacaf6c4d7"><a name="mrs_01_1929__l6ba3c0fbf4934bec8fb6f1ec094b7c86"></a><a name="l6ba3c0fbf4934bec8fb6f1ec094b7c86"></a>View <a href="mrs_01_1971.html">Spark2x Logs</a> to learn application running status, and adjust applications based on log information.</p>
+</li></ul>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1928.html">Basic Operation</a></div>
+</div>
+</div>
+
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new file mode 100644
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+++ b/docs/mrs/component-operation-guide/mrs_01_1930.html
@@ -0,0 +1,388 @@
+<a name="mrs_01_1930"></a><a name="mrs_01_1930"></a>
+
+<h1 class="topictitle1">Configuring Parameters Rapidly</h1>
+<div id="body1595920205305"><div class="section" id="mrs_01_1930__s1bca7201540043519c4e21e7492cb176"><h4 class="sectiontitle">Overview</h4><p id="mrs_01_1930__a3fa46b0319b7498e912074d3575f1687">This section describes how to quickly configure common parameters and lists parameters that are not recommended to be modified when Spark2x is used.</p>
+</div>
+<div class="section" id="mrs_01_1930__s3479bc71fed24a4687b6d183cd9a08d9"><h4 class="sectiontitle">Common parameters to be configured</h4><p id="mrs_01_1930__a1cb5890d9ef54a71a52ca93f79434783">Some parameters have been adapted during cluster installation. However, the following parameters need to be adjusted based on application scenarios. Unless otherwise specified, the following parameters are configured in the <span class="filepath" id="mrs_01_1930__f73b3280b8c614123846bf1e0f3302730"><b>spark-defaults.conf</b></span> file on the Spark2x client.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1930__t5eaf9e2ba86b412bb9f72bc4b56f1c79" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Common parameters to be configured</caption><thead align="left"><tr id="mrs_01_1930__r2db5369137234e1d9ccc5ae5acc77d68"><th align="left" class="cellrowborder" valign="top" width="31.490000000000002%" id="mcps1.3.2.3.2.4.1.1"><p id="mrs_01_1930__a34be422fbae04c91a51a341e6d25ef58">Configuration Item</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50.870000000000005%" id="mcps1.3.2.3.2.4.1.2"><p id="mrs_01_1930__a7660856ab92d4eed88803c9e75651525">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="17.64%" id="mcps1.3.2.3.2.4.1.3"><p id="mrs_01_1930__a1e3b09da3fcb4e9188e51e2f388c4fe7">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1930__r4f3ccfe7b0c94a8598598b4bb5b961de"><td class="cellrowborder" valign="top" width="31.490000000000002%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1930__a278ba8ed1bfc4c7d87c845c8553d4ad5">spark.sql.parquet.compression.codec</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.870000000000005%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1930__a4cb7ae0ba0e44c30bc2a06992720d7a2">Used to set the compression format of a non-partitioned Parquet table.</p>
+<p id="mrs_01_1930__ae1f0d042e6eb42799a6a63cc532e8f68">Set the queue in the <strong id="mrs_01_1930__b1184330409112239">spark-defaults.conf</strong> configuration file on the JDBCServer server.</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.64%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1930__ad2d476b82d48495f99b1cc9b2784a7b5">snappy</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__r0b00ef5d6241429fb3cdef4ef4df670e"><td class="cellrowborder" valign="top" width="31.490000000000002%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1930__ac73b30824cb24a83bc3c2291fa351c7d"><span id="mrs_01_1930__pd1fcb133c6ec48278e718c45f46918d7">spark.dynamicAllocation.enabled</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="50.870000000000005%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1930__ab6b6bfcfe3674bf2b3608a357c4a22ab">Indicates whether to use dynamic resource scheduling, which is used to adjust the number of executors registered with the application according to scale. Currently, this parameter is valid only in Yarn mode.</p>
+<p id="mrs_01_1930__a21f1da97c0e94a9bbfda46a20c25dcff">The default value for JDBCServer is <strong id="mrs_01_1930__b55600536112239">true</strong>, and that for the client is <strong id="mrs_01_1930__b1404918913112239">false</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.64%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1930__ab09888b8402e4bff8361da99789f9d8d"><span id="mrs_01_1930__pe824bc71402b4508a6f548368568c658">false</span></p>
+</td>
+</tr>
+<tr id="mrs_01_1930__rf9a0f0ceeeb9448496e47013219eb164"><td class="cellrowborder" valign="top" width="31.490000000000002%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1930__aa8d92ae7393842f48e620fe6f52f3190">spark.executor.memory</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.870000000000005%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1930__a7c3d6ab068594b279deebe3dd3d01eb3">Indicates the memory size used by each executor process. Its character sting is in the same format as the JVM memory (example: 512 MB or 2 GB).</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.64%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1930__a553bd06896d4491296d6c7adc3fb8abe">4G</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__r951da10e01bb4c9f9232b957a237d1ac"><td class="cellrowborder" valign="top" width="31.490000000000002%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1930__a300263944db245aea5d1147a7272b9cc">spark.sql.autoBroadcastJoinThreshold</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.870000000000005%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1930__a74cd5ff2c1434c2a91708fd970e44eb4">Indicates the maximum value for the broadcast configuration when two tables are joined.</p>
+<ul id="mrs_01_1930__ue9d6dc046bb14580af6c82a04b8e419e"><li id="mrs_01_1930__ldf8ae2e3265f40699b207422d350075d">When the size of a field in a table involved in an SQL statement is less than the value of this parameter, the system broadcasts the SQL statement.</li><li id="mrs_01_1930__laaafe1abad3a45269f99bca00b01a4ce">If the value is set to <strong id="mrs_01_1930__b697341859112239">-1</strong>, broadcast is not performed.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="17.64%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1930__a31ceed85980d4a968ac8d1d656501431">10485760</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__r3d8aa82711b849109658659d7bc1b70b"><td class="cellrowborder" valign="top" width="31.490000000000002%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1930__a148b8332f8f9471fa1c8dca4d09ba773"><span id="mrs_01_1930__p87b3a4616f2047eba7cf62633a6c6fc3">spark.yarn.queue</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="50.870000000000005%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1930__a55e3efde4d694fb0beb9e5637270c244">Specifies <span id="mrs_01_1930__p6481b332111b443b8e82de90f852c850">the Yarn queue</span> where JDBCServer resides.</p>
+<p id="mrs_01_1930__a1efd57ea472e486f89579b67ec08d4aa">Set the queue in the <strong id="mrs_01_1930__b2040975790112239">spark-defaults.conf</strong> configuration file on the JDBCServer server.</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.64%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1930__ac80ced1100a34c9fa95fd30ba3e7565a"><span id="mrs_01_1930__p821cad6fe4e749ad858e146665b43056">default</span></p>
+</td>
+</tr>
+<tr id="mrs_01_1930__rfe95a5cebde04ababbab91e3c7b2b8fd"><td class="cellrowborder" valign="top" width="31.490000000000002%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1930__ab7f679314bab4b7090937da553031fa6">spark.driver.memory</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.870000000000005%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1930__a0008c4858258430b9b0441deeb305e1c">In a large cluster, you are advised to configure the memory used by the 32 GB to 64 GB driver process, that is, the SparkContext initialization process (for example, 512 MB and 2 GB).</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.64%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1930__af8d8866c6a2d4f9685bf381a99647767">4G</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__red641d209d464b40b1e4d395f9432584"><td class="cellrowborder" valign="top" width="31.490000000000002%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1930__a1d550783c5114c41993cf69097b8b041"><span id="mrs_01_1930__pe380baee9d564eabbdbc617cc0c0bf0e">spark.yarn.security.credentials.hbase.enabled</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="50.870000000000005%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1930__aa681f2d883a648a2bc49b8886017de43"><span id="mrs_01_1930__ph1301676912112239">Indicates whether to enable the function of obtaining HBase tokens. If the Spark on HBase function is required and a security cluster is configured, set this parameter to <strong id="mrs_01_1930__b115281447112239">true</strong>. Otherwise, set this parameter to <strong id="mrs_01_1930__b643748068112239">false</strong>.</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="17.64%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1930__a90693b8c05ef4382bd52f922a827a259"><span id="mrs_01_1930__p5c3ec65105054525a27d621245654bb3">false</span></p>
+</td>
+</tr>
+<tr id="mrs_01_1930__r8bafd0b9b3ce43e893a0fd8c41b5ccee"><td class="cellrowborder" valign="top" width="31.490000000000002%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1930__a180dcdc8d9c34d41b3c03409e83f1936"><span id="mrs_01_1930__p4694d194215d46919166a24b7795b701">spark.serializer</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="50.870000000000005%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1930__a5ca06e0d72b24c9cafcc5e6de92f9c32">Used to serialize the objects that are sent over the network or need to be cached.</p>
+<p id="mrs_01_1930__a7bd09a1b8507440296ecd438330f049e">The default value of Java serialization applies to any Serializable Java object, but the running speed is slow. Therefore, you are advised to use <strong id="mrs_01_1930__b716480569112239">org.apache.spark.serializer.KryoSerializer</strong> and configure Kryo serialization. It can be any subclass of <strong id="mrs_01_1930__b1028086760112239">org.apache.spark.serializer.Serializer</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.64%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1930__a0da8e769a6f948c884f42a4e4cd3776e"><span id="mrs_01_1930__p98cf6c5fc78944558d2430b15aecba73">org.apache.spark.serializer.JavaSerializer</span></p>
+</td>
+</tr>
+<tr id="mrs_01_1930__r3339718da6c949b483434737544b5c43"><td class="cellrowborder" valign="top" width="31.490000000000002%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1930__a88606d445c69491caa5f37a850acdb9f">spark.executor.cores</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.870000000000005%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1930__ae93482a90c9442009ff29515182e9edc">Indicates the number of kernels used by each executor.</p>
+<p id="mrs_01_1930__a68461eb36c444ae1b0a4046150384cfd">Set this parameter in standalone mode and Mesos coarse-grained mode. When there are sufficient kernels, the application is allowed to execute multiple executable programs on the same worker. Otherwise, each application can run only one executable program on each worker.</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.64%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1930__a69c755ca3d0549ab99ddf3572678515d">1</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__r9e02057a0e6940c2894abca5dd6cd208"><td class="cellrowborder" valign="top" width="31.490000000000002%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1930__a652c5a32ddb8403b919b1291682d04d3"><span id="mrs_01_1930__p7a60a90786d94a829f89e2d2fd0454f2">spark.shuffle.service.enabled</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="50.870000000000005%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1930__ad820194e20c348b28f6d67a68b322171">Indicates a long-term auxiliary service in NodeManager for improving shuffle computing performance.</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.64%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1930__ab92ffdaa22c24c858461823279cfb468"><span id="mrs_01_1930__p0748f597a3db453eb4fa24f308d6db09">false</span></p>
+</td>
+</tr>
+<tr id="mrs_01_1930__rfbed8962bcae4110bb4df474421051b3"><td class="cellrowborder" valign="top" width="31.490000000000002%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1930__ae9f11209c9974315a3225a6ff240a568"><span id="mrs_01_1930__p3efbc6bd995c49e5976aae63f04f60b0">spark.sql.adaptive.enabled</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="50.870000000000005%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1930__p6612254172411">Indicates whether to enable the adaptive execution framework.</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.64%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1930__a97f747ac2bdc46b4abef10d1bd627ce8">false</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__r13194bd174894c92bc62c4aded672de0"><td class="cellrowborder" valign="top" width="31.490000000000002%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1930__a12748c1307f94cc49e76d153836d5837">spark.executor.memoryOverhead</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.870000000000005%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1930__a6769659e551744158143d316d15955df">Indicates the heap memory to be allocated to each executor, in MB.</p>
+<p id="mrs_01_1930__aff64234951a2487fb4105c4801732316">This is the memory that occupies the overhead of the VM, similar to the internal string and other built-in overhead. The value increases with the executor size (usually 6% to 10%).</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.64%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1930__a32d53124a27a47bc93bfc37c383545b1">1 GB</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__rd65439d8b6bb43d78d9cd9a8bfbf23de"><td class="cellrowborder" valign="top" width="31.490000000000002%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1930__a260b85be95074e55908759daca2e1d7d"><span id="mrs_01_1930__p7135dcaa9af04f678848b85066804a6a">spark.streaming.kafka.direct.lifo</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="50.870000000000005%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1930__a3d0df2b57854416d8b6538263c692239">Indicates whether to enable the LIFO function of Kafka.</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.64%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1930__afbfc2fa2da9c4798b65ef78e0e3bd632">false</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1930__s47f2107597c54548b5723bd1a3fec763"><h4 class="sectiontitle">Parameters Not Recommended to Be Modified</h4><p id="mrs_01_1930__adc00cd9846d04faea72ce319570aca31">The following parameters have been adapted during cluster installation. You are not advised to modify them.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1930__t61b2ae7216c844a9a6a6b97549e6703f" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Parameters not recommended to be modified</caption><thead align="left"><tr id="mrs_01_1930__r3c2bf9cd6cd94f578670f7b2b1b8f9cb"><th align="left" class="cellrowborder" valign="top" width="18.81%" id="mcps1.3.3.3.2.4.1.1"><p id="mrs_01_1930__a2722ae7b3de14d8684a55af930d26514">Configuration Item</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="26.66%" id="mcps1.3.3.3.2.4.1.2"><p id="mrs_01_1930__ad2a5525c950246aba1ca866c24372c99">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="54.53%" id="mcps1.3.3.3.2.4.1.3"><p id="mrs_01_1930__ae8d9fbd5a6d04fd7aae1131414c82e58">Default Value or Configuration Example</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1930__row5878164294617"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__p168791542184613">spark.password.factory</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__p587924212464">Selects the password parsing mode.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__p387919428464">org.apache.spark.om.util.FIPasswordFactory</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__r3ad107663efd4b018e34aae1484fb53d"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__a9394ba75c5474b1ab6ea8e65681e8cf8">spark.ssl.ui.protocol</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__a041c2836b5554dc1a2224d490fdcd5bf">Sets the SSL protocol of the UI.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__ae11231148ee04eb5951ae5377dd332e9">TLSv1.2</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__re25c6c3f9bd647dba9e9659631e9a5ef"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__af1708f2bfd0a4e94b2f377d389fd0397">spark.yarn.archive</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__a04701f807f544eb981324c10c859b0b9">Archives Spark JAR files, which are distributed to Yarn cache. If this parameter is set, the value will replace <strong id="mrs_01_1930__b1202925352112239">&lt;code&gt; spark.yarn.jars &lt;/code&gt;</strong> and be archived in the containers of all applications. The archive should contain the JAR files in its root directory. Archives can also be hosted on HDFS to speed up file distribution.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__a99908d64f3184c6fb79d39bd2bfb0b88">hdfs://hacluster/user/spark2x/jars/<span id="mrs_01_1930__text13616663556">8.1.0.1</span>/spark-archive-2x.zip</p>
+<div class="note" id="mrs_01_1930__note152074312620"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1930__p2520194310261"><span id="mrs_01_1930__text1456518502269">The version 8.1.0.1 is used as an example. Replace it with the actual version number.</span></p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1930__r10427f4745b84551a676e810f62cc4ad"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__a83b4a05c5264425b96e4ffd79167c852">spark.yarn.am.extraJavaOptions</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__afddd1349319c40e0a0334611a3c8c284">Indicates a string of extra JVM options to pass to the YARN ApplicationMaster in client mode. Use <span class="parmname" id="mrs_01_1930__p5176613728f14d56bd2b60c3c40fecbb"><b>spark.driver.extraJavaOptions</b></span> in cluster mode.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__p161515286447">-Dlog4j.configuration=./__spark_conf__/__hadoop_conf__/log4j-executor.properties -Djava.security.auth.login.config=./__spark_conf__/__hadoop_conf__/jaas-zk.conf -Dzookeeper.server.principal=zookeeper/hadoop.&lt;<em id="mrs_01_1930__i108915261742">system domain name</em>&gt; -Djava.security.krb5.conf=./__spark_conf__/__hadoop_conf__/kdc.conf -Djdk.tls.ephemeralDHKeySize=2048</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__rfa1b1c935c494293bfe6612be253e68f"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__a783ad9363cac4f01acfd3309b5e8a4d4">spark.shuffle.servicev2.port</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__a1dbcfc8837194365b6039a4968dc67d8">Indicates the port for the shuffle service to monitor requests for obtaining data.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__a5dd7ca89919848cca942375eed84d25a">27338</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__r31a74f79e6704d71a69c8c6351be522f"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__ae1302367f7cd4039a64807c61666ea49">spark.ssl.historyServer.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__ae92aaf8d15e24b5e87ca4280354713ef">Sets whether the history server uses SSL.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__ad18b357446fe42639f480895c7b518eb">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__r24c8c4be35504db68d252a1f7f7ab04c"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__a14da724bc3584fb08c34997a331cf4d6">spark.files.overwrite</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__ab4c4a6f2172641f1936222f45e263e4e">When the target file exists and its content does not match that of the source file, whether to overwrite the file added through <strong id="mrs_01_1930__b7589135914481">SparkContext.addFile()</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__a1c74b38408124455baab1f30eedf0833">false</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__r23af75beb8054ba7a8602dc57aa4bf55"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__a867d8692d0714b9db25cb65eb7ffdc8a">spark.yarn.cluster.driver.extraClassPath</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__ad074eb15ccc045e3894736a842f7f33b">Indicates the extraClassPath of the driver in Yarn-cluster mode. Set the parameter to the path and parameters of the server.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__a5bfd54e189c7424eba9775bb2d17ea8e">${BIGDATA_HOME}/common/runtime/security</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__rfc977541804a4d829748d2bbc2b18d65"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__ac42634cc2dae43debad70310f3b3c07f">spark.driver.extraClassPath</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__a08708b93eff14976b31a5cffd7e20c5d">Indicates the extra class path entries attached to the class path of the driver.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__p41620565118">${BIGDATA_HOME}/common/runtime/security</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__r2aa604931b3845aa93c6383f7bfc3f89"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__aa4e5cade9d6341558446d1f926f3fa5a">spark.yarn.dist.innerfiles</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__a2953699d6baf460dbf2c8b05ccccbe07">Sets the files that need to be uploaded to HDFS from Spark in Yarn mode.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__p518615518529">/Spark_path/spark/conf/s3p.file,/Spark_path/spark/conf/locals3.jceks</p>
+<p id="mrs_01_1930__afcca646efd404a8e8811e2a2ba89c4cb"><i><span class="varname" id="mrs_01_1930__v75fb65afc25b44cf8ce0ce40163c33af">Spark_path</span></i> is the installation path of the Spark client.</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__r27898b9cca7e466e89e813fec04de314"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__a7bfbe80b30ef4329bc1ad0f28adc77b6">spark.sql.bigdata.register.dialect</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__a1412a49bd74c4d8dabc158b7ed65dd44">Registers the SQL parser.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__p1217819617589">org.apache.spark.sql.hbase.HBaseSQLParser</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__r21b3c088ac1e49d3811132ce3e8073ad"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__a6b98fd64629f4a73840aeffbae57248b">spark.shuffle.manager</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__ada424d5350b2436b89b38c096d64068f">Indicates the data processing mode. There are two implementation modes: sort and hash. The sort shuffle has a higher memory utilization. It is the default option in Spark 1.2 and later versions.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__a5387ab264ef243bcac8cdeda071c5073">SORT</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__r276d332c2035468891d0b164f938ce04"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__ae3ef86dbfec5465f9c329603458284c4">spark.deploy.zookeeper.url</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__acf9b53f95cea41f390ca435b1975fe19">Indicates the address of ZooKeeper. Multiple addresses are separated by commas (,).</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__a9c1add2953d547fb93d5af0e53ba6ed3">For example:</p>
+<p id="mrs_01_1930__a7447875ba78347569149bb59d374f283">host1:2181,host2:2181,host3:2181</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__rfb0b2b522d6e43539df44ed7c74cce99"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__a3172c4c5450c40769ad615a01a44f632">spark.broadcast.factory</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__ae4f498ff683d4d00a97776d195cf9d54">Indicates the broadcast mode.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__a784939a765e04ceabc33e3cb6beefe5e">org.apache.spark.broadcast.TorrentBroadcastFactory</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__rc04b490b783f453da8eec1c04996d410"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__p6498731194219">spark.sql.session.state.builder</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__p149373112420">Session state constructor.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__p1447814319426">org.apache.spark.sql.hive.FIHiveACLSessionStateBuilder</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__r728c659942cf4827a363b5e11eb34034"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__ad5e230543a994e7aac46344acd0ea0e9">spark.executor.extraLibraryPath</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__afb06fa3055914578a7fbd0b844506f90">Sets the special library path used when the executor JVM is started.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__a257e062f4a534d22b83ccb83082ed0e1">${BIGDATA_HOME}/FusionInsight_HD_<span id="mrs_01_1930__text0409219143511">8.1.0.1</span>/install/FusionInsight-Hadoop-3.1.1/hadoop/lib/native</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__r36f688574e0d4068885533a517c926cc"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__a67688b2e7119421a823c79b0eb1ef4ab">spark.ui.customErrorPage</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__a534d9ec6817a419881b2897d5fbf2e1b">Indicates whether to display the custom error information page when an error occurs on the page.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__abfec3b24393946789d98dd742f6cc3f3">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__rd55d328fc1244cf8b771ab687e26fb1d"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__a31b0d0a81a964b5690170c69871d70bb">spark.httpdProxy.enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__a14458baa449e4ba8921cd2785a9af431">Indicates whether to use the httpd proxy.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__a72d8421ea848425a9b456bd077462b9d">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__r4d943cf6d32b4167a89121ed67728526"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__af6d26139063d4dcabe207455a8efd673">spark.ssl.ui.enabledAlgorithms</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__ab326e263417240269c1a73626e6a52f4">Sets the SSL algorithm of UI.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__p20570014185917">TLS_ECDHE_ECDSA_WITH_AES_256_GCM_SHA384,TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384,TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256,TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256,TLS_DHE_RSA_WITH_AES_256_GCM_SHA384,TLS_DHE_DSS_WITH_AES_256_GCM_SHA384,TLS_DHE_RSA_WITH_AES_128_GCM_SHA256,TLS_DHE_DSS_WITH_AES_128_GCM_SHA256</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__r95b5667d328a4b4cafdd1e9131300abf"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__a7d5b009d107e437294caea71efbd7270">spark.ui.logout.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__ac30bf87866024426ab52b920e5a9d5a0">Sets the logout button for the web UI of the Spark component.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__ad16e91bb5f554e1aa10d58ee7025c5f0">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__rf90453bce2194ea28d298fdca171abad"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__a28421131cba246c486a86c43f187a56e">spark.security.hideInfo.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__a638f5251882d41c993b2fd6ee3fdb69a">Indicates whether to hide sensitive information on the UI.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__a1cd441d60b49474abfec3ee0f77b082d">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__r8625082ae3da45aca2b444cc2f610919"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__aab99306b9b4943608f06cda9f7527a6e">spark.yarn.cluster.driver.extraLibraryPath</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__ab59a196a32f34368adc52cda33b58c43">Indicates the <strong id="mrs_01_1930__b339298560112239">extraLibraryPath</strong> of the driver in Yarn-cluster mode. Set this parameter to the path and parameters of the server.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__a7f01084598eb4c9889fa8f3d9337ac2f">${BIGDATA_HOME}/FusionInsight_HD_<span id="mrs_01_1930__text13456443123518">8.1.0.1</span>/install/FusionInsight-Hadoop-3.1.1/hadoop/lib/native</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__rc51cba3410d24835a45df455ca6c25f7"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__ac5fd1030570843f4811c84cee445a92b">spark.driver.extraLibraryPath</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__a1fc56bba0a7441509d1e7bf9b33d8d09">Sets a special library path for starting the driver JVM.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__p4621191043">${DATA_NODE_INSTALL_HOME}/hadoop/lib/native</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__re8dcab70bf2a4cfc85d655777f658d12"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__a16909ef35ff841fc89cbdf74977df676">spark.ui.killEnabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__a7284e2983d234db5a84942ca65014ed8">Allows stages and jobs to be stopped on the web UI.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__a08ed5ddd503c4e0097e474859a519d5f">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__rebe3e5de6385483ba2b942674bf55a29"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__ab8e34762369446528158ed897bd769a7">spark.yarn.access.hadoopFileSystems</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__a1bdcd4d048274ec1a27e797f4c3c5ea2">Spark can access multiple NameService instances. If there are multiple NameService instances, set this parameter to all the NameService instances and separate them with commas (,).</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__a94ad1bfc748648ce847fe5cae3e48911">hdfs://hacluster,hdfs://hacluster</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__r07f0a23c5d7947ab80e1992fd656ba6d"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__ae5ef52abc54a47308e103b298a5cbc38">spark.yarn.cluster.driver.extraJavaOptions</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__a931a81576e804881945c256efc7446f6">Indicates extra JVM option passed to the executor, for example, GC setting and logging. Do not set Spark attributes or heap size using this option. Instead, set Spark attributes using the SparkConf object or the <strong id="mrs_01_1930__b1809468676112239">spark-defaults.conf</strong> file specified when the spark-submit script is called. Set heap size using <strong id="mrs_01_1930__b2048391266112239">spark.executor.memory</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__p13315620018">-Xloggc:&lt;LOG_DIR&gt;/gc.log -XX:+PrintGCDetails -XX:-OmitStackTraceInFastThrow -XX:+PrintGCTimeStamps -XX:+PrintGCDateStamps -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=20 -XX:GCLogFileSize=10M -Dlog4j.configuration=./__spark_conf__/__hadoop_conf__/log4j-executor.properties -Djava.security.auth.login.config=./__spark_conf__/__hadoop_conf__/jaas-zk.conf -Dzookeeper.server.principal=zookeeper/hadoop.<em id="mrs_01_1930__i44810213151">&lt;system domain name&gt;</em> -Djava.security.krb5.conf=./__spark_conf__/__hadoop_conf__/kdc.conf -Djetty.version=x.y.z -Dorg.xerial.snappy.tempdir=${BIGDATA_HOME}/tmp/spark2x_app -Dcarbon.properties.filepath=./__spark_conf__/__hadoop_conf__/carbon.properties -Djdk.tls.ephemeralDHKeySize=2048</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__re3d0fa0536b94a86aa5ff4c787c7e9ae"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__acf621ab133f742549845b3394f64890d">spark.driver.extraJavaOptions</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__acbb8394426dd464c8f5001fbf9a6bb96">Indicates a series of extra JVM options passed to the driver,</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__p1385818582496">-Xloggc:${SPARK_LOG_DIR}/indexserver-omm-%p-gc.log -XX:+PrintGCDetails -XX:-OmitStackTraceInFastThrow -XX:+PrintGCTimeStamps -XX:+PrintGCDateStamps -XX:MaxDirectMemorySize=512M -XX:MaxMetaspaceSize=512M -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=20 -XX:GCLogFileSize=10M -XX:OnOutOfMemoryError='kill -9 %p' -Djetty.version=x.y.z -Dorg.xerial.snappy.tempdir=${BIGDATA_HOME}/tmp/spark2x/JDBCServer/snappy_tmp -Djava.io.tmpdir=${BIGDATA_HOME}/tmp/spark2x/JDBCServer/io_tmp -Dcarbon.properties.filepath=${SPARK_CONF_DIR}/carbon.properties -Djdk.tls.ephemeralDHKeySize=2048 -Dspark.ssl.keyStore=${SPARK_CONF_DIR}/child.keystore #{java_stack_prefer}</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__r17477665e1ae4d1eac314bd2f40dc664"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__a04af8b3844d244df89660fcf97107bc7">spark.eventLog.overwrite</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__ae2e000646abf480b8cc5a19aed7d5ca2">Indicates whether to overwrite any existing file.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__a62cc7dab8fab41848fca03c7e4467c2b">false</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__r52f1440d3075496698703f777f2ae784"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__a238bd28158a84f30ac228597a03cedcb">spark.eventLog.dir</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__a80c4dbebbbcb4d878a6883b76c141011">Indicates the directory for logging Spark events if <strong id="mrs_01_1930__b1942529814112239">spark.eventLog.enabled</strong> is set to <strong id="mrs_01_1930__b385484385112239">true</strong>. In this directory, Spark creates a subdirectory for each application and logs events of the application in the subdirectory. You can also set a unified address similar to the HDFS directory so that the History Server can read historical files.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__a42d47075bb3746f6ae58b614bf2bc290">hdfs://hacluster/spark2xJobHistory2x</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__r778b329054234323bb17ed8ed0984979"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__a954b1e8ae57a48ee9a5a39ac66aea560">spark.random.port.min</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__a911145e02f6a4451bcbc56b73aefe04e">Sets the minimum random port.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__a9d8e8ecd8ab34eaf963fa0d724b5fcab">22600</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__r2f7b12aa09ed43669822aee98362c905"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__a5cbbc6f0dbb449718f345a0a08f272ad">spark.authenticate</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__ad7e8633006644f86aeb9f96fe5a1ef6e">Indicates whether Spark authenticates its internal connections. If the application is not running on Yarn, see <strong id="mrs_01_1930__b1351143444112239">spark.authenticate.secret</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__ad420b7b9e4b24bcda6a3a7cdbaf3b84d">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__r50968872147d419fa1ca503273360d93"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__a73c9d748f5f64ac5a5df89d6a38ccd40">spark.random.port.max</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__ab31573d7dac141cd942bc7fa03753bd8">Sets the maximum random port.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__a69f46895a7474cd385d715d221733ba6">22899</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__rab13318abf3e4dc396db8673f8c2bc5a"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__a7e8762c9314c41edb0b2bbbfe12ce230">spark.eventLog.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__a3ae3b5ea778d4e57bc0cbd5f15a4233a">Indicates whether to log Spark events, which are used to reconstruct the web UI after the application execution is complete.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__a9e76b4b2fbd9459b850d05929e302aea">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__rfc7c82a80cb64a52adb84b75ce035003"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__aa18427ffbb82481b8540bb8e0c26b397">spark.executor.extraJavaOptions</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__ad3e1ac70c9954e1693a879a46e0c6072">Indicates extra JVM option passed to the executor, for example, GC setting and logging. Do not set Spark attributes or heap size using this option.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__ac135987d786c4fe8b1bfd2b72010d2a6">-Xloggc:&lt;LOG_DIR&gt;/gc.log -XX:+PrintGCDetails -XX:-OmitStackTraceInFastThrow -XX:+PrintGCTimeStamps -XX:+PrintGCDateStamps -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=20 -XX:GCLogFileSize=10M -Dlog4j.configuration=./log4j-executor.properties -Djava.security.auth.login.config=./jaas-zk.conf -Dzookeeper.server.principal=zookeeper/hadoop.&lt;<em id="mrs_01_1930__i298719288158">system domain name</em>&gt; -Djava.security.krb5.conf=./kdc.conf -Dcarbon.properties.filepath=./carbon.properties</p>
+<p id="mrs_01_1930__p14818415710">-Xloggc:&lt;LOG_DIR&gt;/gc.log -XX:+PrintGCDetails -XX:-OmitStackTraceInFastThrow -XX:+PrintGCTimeStamps -XX:+PrintGCDateStamps -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=20 -XX:GCLogFileSize=10M -Dlog4j.configuration=./__spark_conf__/__hadoop_conf__/log4j-executor.properties -Djava.security.auth.login.config=./__spark_conf__/__hadoop_conf__/jaas-zk.conf -Dzookeeper.server.principal=zookeeper/hadoop.<em id="mrs_01_1930__i3918131191510">&lt;system domain name&gt;</em> -Djava.security.krb5.conf=./__spark_conf__/__hadoop_conf__/kdc.conf -Dcarbon.properties.filepath=./__spark_conf__/__hadoop_conf__/carbon.properties -Djdk.tls.ephemeralDHKeySize=2048</p>
+</td>
+</tr>
+<tr id="mrs_01_1930__rf886966d714c4cc09f7d5a405a55c9e4"><td class="cellrowborder" valign="top" width="18.81%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1930__a5c19c960dcff452c8661a87b78130607">spark.sql.authorization.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.66%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1930__a852bfcee8c174cfd9ab29de0c259be25">Indicates whether to enable authentication for the Hive client.</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.53%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1930__a7897e5bf121445f586beb00d4897a989">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1928.html">Basic Operation</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1931.html b/docs/mrs/component-operation-guide/mrs_01_1931.html
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@@ -0,0 +1,1255 @@
+<a name="mrs_01_1931"></a><a name="mrs_01_1931"></a>
+
+<h1 class="topictitle1">Common Parameters</h1>
+<div id="body1595920205328"><div class="section" id="mrs_01_1931__s83a229801d134354bb7cd1f93b6b1da3"><h4 class="sectiontitle">Overview</h4><p id="mrs_01_1931__aefc9cb558bbd4b53acfa356d7a652d23">This section describes common configuration items used in Spark. Subsections are divided by feature so that you can quickly find required configuration items. If you use <span id="mrs_01_1931__text130612336220">MRS</span> clusters, most parameters described in this section have been adapted and you do not need to configure them again. For details about the parameters that need to be configured based on the site requirements, see <a href="mrs_01_1930.html">Configuring Parameters Rapidly</a>.</p>
+</div>
+<div class="section" id="mrs_01_1931__s1688b140aedc4714817dfd815ef65b0f"><h4 class="sectiontitle">Configuring the Number of Stage Retries</h4><p id="mrs_01_1931__a0754729dc1ff4c819b54e2513affe1b1">When FetchFailedException occurs in a Spark task, a stage retry is triggered. To prevent infinite stage retries, the number of stage retries is limited. The number of retry times can be adjusted based on the site requirements.</p>
+<p id="mrs_01_1931__ab1ebacbfbe6849d2a2ced5eef9b56416">Configure the following parameters in the <span class="filepath" id="mrs_01_1931__f33677041dc354f6981b380bf0abcb6dd"><b>spark-defaults.conf</b></span> file on the Spark client.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1931__tcf9080f29fff4a0f875407f07f04951c" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1931__r607892e8d4cf4eb58d510c1b1b775bdd"><th align="left" class="cellrowborder" valign="top" width="33.333333333333336%" id="mcps1.3.2.4.2.4.1.1"><p id="mrs_01_1931__a3b297d30afc843fd93fe0103ee50064b"><strong id="mrs_01_1931__ac903ad14603e4ea98b35d00f657bca6a">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="45.36453645364537%" id="mcps1.3.2.4.2.4.1.2"><p id="mrs_01_1931__a2bbcf764557a42b5acdd959d7cf58f8b"><strong id="mrs_01_1931__ac175bb3513414ff99830f6dfb0fb281e">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="21.302130213021304%" id="mcps1.3.2.4.2.4.1.3"><p id="mrs_01_1931__a0716f548774940f38f48b1c3ad4d6eb6"><strong id="mrs_01_1931__a6f10287b27d54381acb9c698375f59c6">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1931__reedb5ff051f54556868c7f12da3bfd90"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_1931__a5bb67e012e0d4ef7a3f66101e586144e">spark.stage.maxConsecutiveAttempts</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.36453645364537%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_1931__a159f3381aa2e44d4a26d97dca84df640">Indicates the maximum number of stage retries.</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.302130213021304%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_1931__ab7181237a7204e12a51dbc0d9c9e2935">4</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1931__sc480bf1748bb489f84e52e7ba57153c9"><h4 class="sectiontitle">Configuring Whether to Use Cartesian Product</h4><p id="mrs_01_1931__aa74c7cfc457f45979d724ad4435f8149">To enable the Cartesian product function, configure the following parameter in the <span class="filepath" id="mrs_01_1931__fba915d08f97448ca908bf6b0c99b3250"><b>spark-defaults.conf</b></span> configuration file of Spark.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1931__t9896e5ffc3cd4b8db1087e76151d3c9f" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Cartesian product parameters</caption><thead align="left"><tr id="mrs_01_1931__r0429b70acc2048499f25d0bab1940f62"><th align="left" class="cellrowborder" valign="top" width="33.333333333333336%" id="mcps1.3.3.3.2.4.1.1"><p id="mrs_01_1931__ae2b45fc2988e402788bbb2d1e1d1f1ba"><strong id="mrs_01_1931__aae962ba58fb34423a39738dfa18e9cdd">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="45.36453645364537%" id="mcps1.3.3.3.2.4.1.2"><p id="mrs_01_1931__adae614aa441d4572a5ba74b7aacb677e"><strong id="mrs_01_1931__a64430b9c38974ed9b108f96516b7f27f">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="21.302130213021304%" id="mcps1.3.3.3.2.4.1.3"><p id="mrs_01_1931__a8205de34f4e8401a96c98c9152d87834"><strong id="mrs_01_1931__a1ee4340a326b44bfaa8cdc92b8a09f41">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1931__r050ea0fa824048a88cd761eb62ecce54"><td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1931__a947e8ae0d20943669aaaaab3c7ba59b5">spark.sql.crossJoin.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.36453645364537%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1931__a52701e8bb9cf46168295c4d640981858">Indicates whether to allow implicit Cartesian product execution.</p>
+<ul id="mrs_01_1931__u684998b6672e497799ebf69faf693bf4"><li id="mrs_01_1931__lf31bf10565b34877861be0a8a70576e9"><span class="parmvalue" id="mrs_01_1931__p29db487f59274b58a09810c9ef9e6dd9"><b>true</b></span>: Implicit Cartesian product execution is allowed.</li><li id="mrs_01_1931__lbe8970f7ffaa48dfadafe041f6427770"><span class="parmvalue" id="mrs_01_1931__p653066a1766f4e46a0b179634c3afdd0"><b>false</b></span>: Implicit Cartesian product execution is not allowed. In this case, only CROSS JOIN can be explicitly included in the query.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="21.302130213021304%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1931__a2911c458d8a54b919e7bfdb6683c7079">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_1931__note1344216101256"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1931__ul1488495115615"><li id="mrs_01_1931__li18848511565">For JDBC applications, configure this parameter in the <span class="filepath" id="mrs_01_1931__filepath3720729558"><b>spark-defaults.conf</b></span> configuration file of the server.</li><li id="mrs_01_1931__li1884165110611">For tasks submitted by the Spark client, configure this parameter in the <span class="filepath" id="mrs_01_1931__filepath189164381611"><b>spark-defaults.conf</b></span> configuration file of the client.</li></ul>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1931__s801ce708ada547f8bd47864e7f138bf0"><h4 class="sectiontitle">Configuring Security Authentication for Long-Time Spark Tasks</h4><p id="mrs_01_1931__ab099826c9df24a2ba9087c374da3a5df">In security mode, if the <strong id="mrs_01_1931__b1996603815113115">kinit</strong> command is used for security authentication when the Spark CLI (such as spark-shell, spark-sql, or spark-submit) is used, the task fails due to authentication expiration when the task is running for a long time.</p>
+<p id="mrs_01_1931__a362fb457ca45442ca5b1884f1ea5b42c">Set the following parameters in the <span class="filepath" id="mrs_01_1931__f6601020f146344bfbaa50a6350197fb2"><b>spark-defaults.conf</b></span> configuration file on the client. After the configuration is complete, run the Spark CLI again.</p>
+<div class="note" id="mrs_01_1931__nbe2fe128dfd64c3d98a5c44442c1e503"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1931__a0cc079fbe70740969e6b2b31b24a606d">If this parameter is set to <span class="parmvalue" id="mrs_01_1931__p3a658d6b92c843bfa9de395c44554581"><b>true</b></span>, ensure that the values of <strong id="mrs_01_1931__b1972419859113115">keytab</strong> and <strong id="mrs_01_1931__b2129683128113115">principal</strong> in <span class="filepath" id="mrs_01_1931__fcaa28b2bb4344530b9645e6d9ccedf81"><b>spark-defaults.conf</b></span> and <span class="filepath" id="mrs_01_1931__f16214171ae564e7bbcf4e66eeb3bf7f3"><b>hive-site.xml</b></span> are the same.</p>
+</div></div>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1931__tc6ee995d6c224dc481264e33b11fc885" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1931__r78f60b23dca64f32ba709be0ab34823b"><th align="left" class="cellrowborder" valign="top" width="25.06%" id="mcps1.3.4.5.2.4.1.1"><p id="mrs_01_1931__afc9dd30d97de48009d6d22cada6934fc"><strong id="mrs_01_1931__a6a99c664443d47e2940b47bc401592bf">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="62.09%" id="mcps1.3.4.5.2.4.1.2"><p id="mrs_01_1931__a703a36b9ee0f4e2d85456c7a9164031e"><strong id="mrs_01_1931__a2448694e62a04b379ca826b393d69ac8">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="12.85%" id="mcps1.3.4.5.2.4.1.3"><p id="mrs_01_1931__aa8a6ac2f542a41199526fe6c4535f811"><strong id="mrs_01_1931__a2d301096562b4340b866a6d4a9b3ec2a">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1931__rdfd67eeb69ad4ac1a1fae95b85534ec9"><td class="cellrowborder" valign="top" width="25.06%" headers="mcps1.3.4.5.2.4.1.1 "><p id="mrs_01_1931__a5aafe3e55e564c67bf41eb9772330c5b">spark.kerberos.principal</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.09%" headers="mcps1.3.4.5.2.4.1.2 "><p id="mrs_01_1931__a00f70be1b68342278239c3c1e52767c0">Indicates the principal user who has the Spark operation permission. Contact the <span id="mrs_01_1931__ph16923308331">system </span>administrator to obtain the principal user.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.85%" headers="mcps1.3.4.5.2.4.1.3 "><p id="mrs_01_1931__a61ec041dece8446c9b89809b1e70ca79">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rc6b3b5088ac249cfb23dcf54b957eab2"><td class="cellrowborder" valign="top" width="25.06%" headers="mcps1.3.4.5.2.4.1.1 "><p id="mrs_01_1931__acc61ea50d16a4dbf836236e0c7141ba6">spark.kerberos.keytab</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.09%" headers="mcps1.3.4.5.2.4.1.2 "><p id="mrs_01_1931__ab50f467579b5417c87a6503fee6a8f05">Indicates the name and path of the keytab file used to configure Spark operation permissions. Contact the <span id="mrs_01_1931__ph11230173314339">system </span>administrator to obtain the keytab file.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.85%" headers="mcps1.3.4.5.2.4.1.3 "><p id="mrs_01_1931__a894de984825b4a89889b00ff256ec2b2">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rcd75c28672474529b29974910381ffd9"><td class="cellrowborder" valign="top" width="25.06%" headers="mcps1.3.4.5.2.4.1.1 "><p id="mrs_01_1931__af5394254a746426187fcc3d846b30978">spark.security.bigdata.loginOnce</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.09%" headers="mcps1.3.4.5.2.4.1.2 "><p id="mrs_01_1931__a9de27aa5a46449698150e542d7da338c">Indicates whether the principal user logs in to the system only once. <strong id="mrs_01_1931__b1833325644113115">true</strong>: single login; <strong id="mrs_01_1931__b1244172671113115">false</strong>: multiple logins.</p>
+<p id="mrs_01_1931__a54343e972d51470ca677c822c2fbff52">The difference between a single login and multiple logins is as follows: The Spark community uses the Kerberos user to log in to the system for multiple times. However, the TGT or token may expire, causing the application to fail to run for a long time. The Kerberos login mode of DataSight is modified to allow users to log in only once, which effectively resolves the expiration problem. The restrictions are as follows: The principal and keytab configuration items of Hive must be the same as those of Spark.</p>
+<div class="note" id="mrs_01_1931__ncb85afcf3a1140019f7c2d6268244693"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1931__a8ff798812f934e6d96be143680ad5654">If this parameter is set to <strong id="mrs_01_1931__b863646599113115">true</strong>, ensure that the values of <strong id="mrs_01_1931__b1402708748113115">keytab</strong> and <strong id="mrs_01_1931__b1079978908113115">principal</strong> in <span class="filepath" id="mrs_01_1931__f3ec7f412113b4346bfbcb7d4b8ba79d3"><b>spark-defaults.conf</b></span> and <span class="filepath" id="mrs_01_1931__ff168650ac28f4f21b5126c3d646793fd"><b>hive-site.xml</b></span> are the same.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="12.85%" headers="mcps1.3.4.5.2.4.1.3 "><p id="mrs_01_1931__ac34c793db134462b941298c93e009b2b">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1931__s11cd9f4fff844f2099065ea850f50154"><h4 class="sectiontitle">Python Spark</h4><p id="mrs_01_1931__ae13baa13503946e3a19785f58d2979d3">Python Spark is the third programming language of Spark except Scala and Java. Different from Java and Scala that run on the JVM platform, Python Spark has its own Python process as well as the JVM process. The following configuration items apply only to Python Spark scenarios. However, other configuration items can also take effect in Python Spark scenarios.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1931__tcadafb19c7cd46f28600078139e86cba" frame="border" border="1" rules="all"><caption><b>Table 4 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1931__r7d8fbe7285eb4913ab37a5dd521c8e88"><th align="left" class="cellrowborder" valign="top" width="25.09%" id="mcps1.3.5.3.2.4.1.1"><p id="mrs_01_1931__ad65ef2793a2845ae8440e9b4e86d6614"><strong id="mrs_01_1931__a3457491a776b47199e0724a149c3fad1">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="61.75000000000001%" id="mcps1.3.5.3.2.4.1.2"><p id="mrs_01_1931__ac3bcd76a02de4a5eaca2317408996451"><strong id="mrs_01_1931__a67b6febb2d77420d99cbf85a484290af">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="13.16%" id="mcps1.3.5.3.2.4.1.3"><p id="mrs_01_1931__a7e91f99a47214c92a5c05b0e04282a7d"><strong id="mrs_01_1931__a8dd4c98f98b64fe3ad3c0b5df52fcc71">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1931__ra24298007713444d8649c9203a7077eb"><td class="cellrowborder" valign="top" width="25.09%" headers="mcps1.3.5.3.2.4.1.1 "><p id="mrs_01_1931__a158282292a4c414eb7ff183677957826">spark.python.profile</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.75000000000001%" headers="mcps1.3.5.3.2.4.1.2 "><p id="mrs_01_1931__a2a850ea9ff804424b06eef69ed79119a">Indicates whether to enable profiling on the Python worker. Use <strong id="mrs_01_1931__b428527689113115">sc.show_profiles()</strong> to display the analysis results or display the analysis results before the Driver exits. You can use <strong id="mrs_01_1931__b990036255113115">sc.dump_profiles(path)</strong> to dump the results to a disk. If some analysis results have been manually displayed, they will not be automatically displayed before the driver exits.</p>
+<p id="mrs_01_1931__a737e9f9244de4796ac9e8105e5c2aa3f">By default, <strong id="mrs_01_1931__b2109682214113115">pyspark.profiler.BasicProfiler</strong> is used. You can transfer the specified profiler during SparkContext initialization to overwrite the default profiler.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.16%" headers="mcps1.3.5.3.2.4.1.3 "><p id="mrs_01_1931__aa18ffbefab7d4c5c996e0d799b3be4e8">false</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r562e04f3e9bd49619a72ef8a7098adab"><td class="cellrowborder" valign="top" width="25.09%" headers="mcps1.3.5.3.2.4.1.1 "><p id="mrs_01_1931__a2ab1c3c59e4b414ab1220f76e7cb5257">spark.python.worker.memory</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.75000000000001%" headers="mcps1.3.5.3.2.4.1.2 "><p id="mrs_01_1931__ad53ea79b103e483fa6cf0ba003c824d3">Indicates the memory size that can be used by each Python worker process during aggregation. The value format is the same as that of the specified JVM memory, for example, 512 MB and 2 GB. If the memory used by a process during aggregation exceeds the value of this parameter, data will be written to disks.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.16%" headers="mcps1.3.5.3.2.4.1.3 "><p id="mrs_01_1931__ad5962da5c2a8436e94740f52e36b7991">512m</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r8df23bebdc624b25947f9d375645838b"><td class="cellrowborder" valign="top" width="25.09%" headers="mcps1.3.5.3.2.4.1.1 "><p id="mrs_01_1931__a912ec2e4709e4d8289193f67551c121e">spark.python.worker.reuse</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.75000000000001%" headers="mcps1.3.5.3.2.4.1.2 "><p id="mrs_01_1931__aec5a4c5384e94419813e87f1c24ee61c">Indicates whether to reuse Python workers. If the reuse function is enabled, a fixed number of Python workers will be reused by the next batch of submitted tasks instead of forking a Python process for each task. This function is useful in large-scale broadcasting because the data does not need to be transferred from the JVM to the Python workers again for the next batch of submitted tasks.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.16%" headers="mcps1.3.5.3.2.4.1.3 "><p id="mrs_01_1931__a932004a523b84651815423346b6c6501">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1931__s3e6ba9832a9e482d9a0a672e1eed1d75"><h4 class="sectiontitle">Dynamic Allocation</h4><p id="mrs_01_1931__a558c31b34b184f63b2f2fc5b7257b967">Dynamic resource scheduling is a unique feature of the On Yarn mode. This function can be used only after Yarn External Shuffle is enabled. When Spark is used as a resident service, dynamic resource scheduling greatly improves resource utilization. For example, the JDBCServer process does not accept JDBC requests in most of the time. Therefore, releasing resources in this period greatly reduces the waste of cluster resources.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1931__t3c7ae7e40d9448e290682b763b239880" frame="border" border="1" rules="all"><caption><b>Table 5 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1931__raf355b29e6db43f9bb1c4ea0015fabe8"><th align="left" class="cellrowborder" valign="top" width="21.3%" id="mcps1.3.6.3.2.4.1.1"><p id="mrs_01_1931__ac9b91602eddb459bbb7488eb9b33e931"><strong id="mrs_01_1931__a24510b211c894c2dbae28f1d7d961a3f">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="60.99%" id="mcps1.3.6.3.2.4.1.2"><p id="mrs_01_1931__a5473db6a3ea64ccbbb79611e2598b44a"><strong id="mrs_01_1931__a72ca4ab65368472d86aa55ea8838568d">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="17.71%" id="mcps1.3.6.3.2.4.1.3"><p id="mrs_01_1931__a2148657a1c5b49298964037ba808314c"><strong id="mrs_01_1931__ac49ccc1923f54ca586559467a4af2817">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1931__rdd7b10c7282349c38c67425a7dee8c67"><td class="cellrowborder" valign="top" width="21.3%" headers="mcps1.3.6.3.2.4.1.1 "><p id="mrs_01_1931__a2e0ffe8981d445349bf47d56b16defee">spark.dynamicAllocation.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.99%" headers="mcps1.3.6.3.2.4.1.2 "><p id="mrs_01_1931__a0d617bcf826d4d539484733c47735358">Indicates whether to use dynamic resource scheduling, which is used to adjust the number of executors registered with the application according to scale. Currently, this parameter is valid only in Yarn mode.</p>
+<p id="mrs_01_1931__a37a5c1adb45e4b20987cccfe3a2e0c9d">To enable dynamic resource scheduling, set <strong id="mrs_01_1931__b47616087113115">spark.shuffle.service.enabled</strong> to <strong id="mrs_01_1931__b632956381113115">true</strong>. Related parameters are as follows: <strong id="mrs_01_1931__b1337259009113115">spark.dynamicAllocation.minExecutors</strong>, <strong id="mrs_01_1931__b1633645046113115">spark.dynamicAllocation.maxExecutors</strong>, and <strong id="mrs_01_1931__b1810705301113115">spark.dynamicAllocation.initialExecutors</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.71%" headers="mcps1.3.6.3.2.4.1.3 "><ul id="mrs_01_1931__ul63349384288"><li id="mrs_01_1931__li16334123882816">JDBCServer2x:<p id="mrs_01_1931__p13592122822818"><a name="mrs_01_1931__li16334123882816"></a><a name="li16334123882816"></a>true</p>
+</li><li id="mrs_01_1931__li163361648132811">SparkResource2x:<p id="mrs_01_1931__p459514617307"><a name="mrs_01_1931__li163361648132811"></a><a name="li163361648132811"></a>false</p>
+</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_1931__r573b3afb78134da58d443b715b8e79b9"><td class="cellrowborder" valign="top" width="21.3%" headers="mcps1.3.6.3.2.4.1.1 "><p id="mrs_01_1931__a52338dc3f3c84e7588207d6dad919b4a">spark.dynamicAllocation.minExecutors</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.99%" headers="mcps1.3.6.3.2.4.1.2 "><p id="mrs_01_1931__a51e529f3cb9e4c918a349a05b0b45821">Indicates the minimum number of executors.</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.71%" headers="mcps1.3.6.3.2.4.1.3 "><p id="mrs_01_1931__a694b89983eda40f08c6fb37d1a8be523">0</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rc4087f29a69148e38417ffde77b5761d"><td class="cellrowborder" valign="top" width="21.3%" headers="mcps1.3.6.3.2.4.1.1 "><p id="mrs_01_1931__a338c65d28a2a4d979ca56f752d7a670e">spark.dynamicAllocation.initialExecutors</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.99%" headers="mcps1.3.6.3.2.4.1.2 "><p id="mrs_01_1931__a8c2ca46fabd44c2c927620a39cb81961">Indicates the number of initial executors.</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.71%" headers="mcps1.3.6.3.2.4.1.3 "><p id="mrs_01_1931__a0e6261251cf5411387a66abd3d39502d">spark.dynamicAllocation.minExecutors</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r1ffb335be78e4499a313a975d19a8203"><td class="cellrowborder" valign="top" width="21.3%" headers="mcps1.3.6.3.2.4.1.1 "><p id="mrs_01_1931__a00f54278ac654f5fb8de9f130df350f6">spark.dynamicAllocation.maxExecutors</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.99%" headers="mcps1.3.6.3.2.4.1.2 "><p id="mrs_01_1931__aba4e3d09280e48acb0ca035a0fbf3ee5">Indicates the maximum number of executors.</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.71%" headers="mcps1.3.6.3.2.4.1.3 "><p id="mrs_01_1931__a8181cff9affa4ffd9f225e6d7796287f">2048</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r6cbfdd1c590c45ebbdc7124eab679fb7"><td class="cellrowborder" valign="top" width="21.3%" headers="mcps1.3.6.3.2.4.1.1 "><p id="mrs_01_1931__a3e3b388ef27f4ce6953448d0ff5aa5c1">spark.dynamicAllocation.schedulerBacklogTimeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.99%" headers="mcps1.3.6.3.2.4.1.2 "><p id="mrs_01_1931__ae916e836396845d9a9fedce238097268">Indicates the first timeout period for scheduling. The unit is second.</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.71%" headers="mcps1.3.6.3.2.4.1.3 "><p id="mrs_01_1931__a839e3f4e36f3438d96e6d2ef31896fb1">1s</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r5f12b2609f4b41bba93df79c2f967caa"><td class="cellrowborder" valign="top" width="21.3%" headers="mcps1.3.6.3.2.4.1.1 "><p id="mrs_01_1931__afa3b58bfa82f41bda153c856b5d250d5">spark.dynamicAllocation.sustainedSchedulerBacklogTimeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.99%" headers="mcps1.3.6.3.2.4.1.2 "><p id="mrs_01_1931__a018f4f052e7c4c94947bcb8b3510cfaf">Indicates the second and later timeout interval for scheduling.</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.71%" headers="mcps1.3.6.3.2.4.1.3 "><p id="mrs_01_1931__a2aabdbf65d1c4f2eb4dd70555007060e">1s</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rada95f7c941548b5a1d790b39d3ab324"><td class="cellrowborder" valign="top" width="21.3%" headers="mcps1.3.6.3.2.4.1.1 "><p id="mrs_01_1931__a1887a38d3cee4fd7b77ddd018a88dd0d">spark.dynamicAllocation.executorIdleTimeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.99%" headers="mcps1.3.6.3.2.4.1.2 "><p id="mrs_01_1931__a8074370b2e114277a447261aca6fb5f1">Indicates the idle timeout interval for common executors. The unit is second.</p>
+<p id="mrs_01_1931__a540f028774f24e7b85adb27ddceef527"></p>
+</td>
+<td class="cellrowborder" valign="top" width="17.71%" headers="mcps1.3.6.3.2.4.1.3 "><p id="mrs_01_1931__ac8e23271f78147dd8b977ff14fc8cf2f">60</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rdf77769022cc4e6d8136ea7359c19921"><td class="cellrowborder" valign="top" width="21.3%" headers="mcps1.3.6.3.2.4.1.1 "><p id="mrs_01_1931__addf4bb026af046b4a07ee516c70351b5">spark.dynamicAllocation.cachedExecutorIdleTimeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.99%" headers="mcps1.3.6.3.2.4.1.2 "><p id="mrs_01_1931__ab6895e60376f41a6a7ab2d98bd6a633b">Indicates the idle timeout interval for executors with cached blocks.</p>
+</td>
+<td class="cellrowborder" valign="top" width="17.71%" headers="mcps1.3.6.3.2.4.1.3 "><ul id="mrs_01_1931__ul756811528278"><li id="mrs_01_1931__li13568115282714">JDBCServer2x: 2147483647s</li><li id="mrs_01_1931__li1324014833519">IndexServer2x: 2147483647s</li><li id="mrs_01_1931__li1256917522270">SparkResource2x: 120</li></ul>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1931__sa381540dd3284a1cbe0923bb907a2b61"><h4 class="sectiontitle">Spark Streaming</h4><p id="mrs_01_1931__a4504cf05178342a5b1c81a1c0b9026b9">Spark Streaming is a streaming data processing function provided by the Spark batch processing platform. It processes data input from external systems in <span class="parmname" id="mrs_01_1931__pa954ea11a0aa43c6a5b2a1a242810699"><b>mini-batch</b></span> mode.</p>
+<p id="mrs_01_1931__p9690153420385">Configure the following parameters in the <span class="filepath" id="mrs_01_1931__filepath51771720203115"><b>spark-defaults.conf</b></span> file on the Spark client.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1931__t552725e8cecd4358845aa7b394ed53f5" frame="border" border="1" rules="all"><caption><b>Table 6 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1931__r13f6abc617b84808809befadc526b6ce"><th align="left" class="cellrowborder" valign="top" width="26.41%" id="mcps1.3.7.4.2.4.1.1"><p id="mrs_01_1931__a84a76df6916f482fbe7109f17da54ec3"><strong id="mrs_01_1931__ae5664c5cee144d1397a7162126052cdc">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="61.56%" id="mcps1.3.7.4.2.4.1.2"><p id="mrs_01_1931__af7f9ca48075e46379ece842be861a7e5"><strong id="mrs_01_1931__aa6c6e6de537747fb921a028c1727c536">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="12.030000000000001%" id="mcps1.3.7.4.2.4.1.3"><p id="mrs_01_1931__a950bf1f87f04432e991c3951f8bbcc3c"><strong id="mrs_01_1931__a7a3fcf58a7764701afc7a1535d6dd248">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1931__r610b95c03cf04736a4b9f4bdb1175617"><td class="cellrowborder" valign="top" width="26.41%" headers="mcps1.3.7.4.2.4.1.1 "><p id="mrs_01_1931__adbae00d337604cd8be2f3ba3b217ecb9">spark.streaming.receiver.writeAheadLog.enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.56%" headers="mcps1.3.7.4.2.4.1.2 "><p id="mrs_01_1931__a3812bf27ef834bc8abdbf796ef6274d8">Indicates whether to enable the write-ahead log (WAL) function. After this function is enabled, all input data received by the receiver is saved in the WAL. WAL ensures that data can be restored if the driver program becomes faulty.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.030000000000001%" headers="mcps1.3.7.4.2.4.1.3 "><p id="mrs_01_1931__a638e9c4c9f5e47e5a6fb7c94bf4c14bb">false</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rc9e9452322734c1382d540988c746359"><td class="cellrowborder" valign="top" width="26.41%" headers="mcps1.3.7.4.2.4.1.1 "><p id="mrs_01_1931__aa926c9bbb5824671a8de428046040858">spark.streaming.unpersist</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.56%" headers="mcps1.3.7.4.2.4.1.2 "><p id="mrs_01_1931__ae74c56273a634ac8b3cd9e4ee17e6acb">Determines whether to automatically remove RDDs generated and saved by Spark Streaming from the Spark memory. If this function is enabled, original data received by Spark Streaming is also automatically cleared. If this function is disabled, original data and RDDs cannot be automatically cleared. External applications can access the data in Streaming. This, however, occupies more Spark memory resources.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.030000000000001%" headers="mcps1.3.7.4.2.4.1.3 "><p id="mrs_01_1931__a820ea40a697446da98d0819abee94d05">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1931__s6b639b4ea1b34e1fa8a3d1c12ab9e0c7"><h4 class="sectiontitle">Spark Streaming Kafka</h4><p id="mrs_01_1931__ac45d913414874d55a872e14a5ea0b477">The receiver is an important component of Spark Streaming. It receives external data, encapsulates the data into blocks, and provides the blocks for Streaming to consume. The most common data source is Kafka. Spark Streaming integrates Kafka to ensure reliability and can directly use Kafka as the RDD input.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1931__t62db078163ed4883a0b4c3496daf02f4" frame="border" border="1" rules="all"><caption><b>Table 7 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1931__r351310b27ba4482c85cd37a692d84ca7"><th align="left" class="cellrowborder" valign="top" width="28.290000000000003%" id="mcps1.3.8.3.2.4.1.1"><p id="mrs_01_1931__aa0496f539fb64d2b966a95620ac7251b"><strong id="mrs_01_1931__a585f41138b1347619d76aff5e31b184c">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="59.680000000000014%" id="mcps1.3.8.3.2.4.1.2"><p id="mrs_01_1931__ae8481732a51546d2a2e72f8cb6ee89bc"><strong id="mrs_01_1931__a450e8d3baf2e47c182aa137a6aa4ca78">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="12.030000000000001%" id="mcps1.3.8.3.2.4.1.3"><p id="mrs_01_1931__a38c122f3e1754c5eae858a134122f517"><strong id="mrs_01_1931__a0dad9f00b3fa4f5392384778f49e5f82">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1931__r70e83bb117c84d9680e8ed0b10693ffb"><td class="cellrowborder" valign="top" width="28.290000000000003%" headers="mcps1.3.8.3.2.4.1.1 "><p id="mrs_01_1931__ade6313d459cf447aa5c43f2cbfc86bc3">spark.streaming.kafka.maxRatePerPartition</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.680000000000014%" headers="mcps1.3.8.3.2.4.1.2 "><p id="mrs_01_1931__a492bd07b471647c9bd7bdd8b8db10563">Indicates the maximum rate (number of records per second) for reading data from each Kafka partition if the Kafka direct stream API is used.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.030000000000001%" headers="mcps1.3.8.3.2.4.1.3 "><p id="mrs_01_1931__af4c2201257394fd486401c4c60cc65cb">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r03efd270520e4cedad327250543b37c9"><td class="cellrowborder" valign="top" width="28.290000000000003%" headers="mcps1.3.8.3.2.4.1.1 "><p id="mrs_01_1931__aadc8ac0fbf934e68ae78f9f768c40607">spark.streaming.blockInterval</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.680000000000014%" headers="mcps1.3.8.3.2.4.1.2 "><p id="mrs_01_1931__a093e282c5eb24a1e84911d25a0d2c3ad">Indicates the interval (ms) for accumulating data received by a Spark Streaming receiver into a data block before the data is stored in Spark. A minimum value of 50 ms is recommended.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.030000000000001%" headers="mcps1.3.8.3.2.4.1.3 "><p id="mrs_01_1931__a301cb19947b44a07800dc66a95986095">200ms</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r8b7be47081ce4545b1ca71629544f120"><td class="cellrowborder" valign="top" width="28.290000000000003%" headers="mcps1.3.8.3.2.4.1.1 "><p id="mrs_01_1931__a6b4c5e9cf008419987c7eb27cf2e7913">spark.streaming.receiver.maxRate</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.680000000000014%" headers="mcps1.3.8.3.2.4.1.2 "><p id="mrs_01_1931__ac3c7f0b4182e4e5aa7ca2936d6547a26">Indicates the maximum rate (number of records per second) for each receiver to receive data. The value <strong id="mrs_01_1931__b732716924113115">0</strong> or a negative value indicates no limit to the rate.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.030000000000001%" headers="mcps1.3.8.3.2.4.1.3 "><p id="mrs_01_1931__ac1b1ce3127f64678bcc8f1aeb11f28ac">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__re86d3e96a0b24620b8e44b9ac7c921e0"><td class="cellrowborder" valign="top" width="28.290000000000003%" headers="mcps1.3.8.3.2.4.1.1 "><p id="mrs_01_1931__ac0bf801e4d5f40a8aeaa7324aa3b694b">spark.streaming.receiver.writeAheadLog.enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.680000000000014%" headers="mcps1.3.8.3.2.4.1.2 "><p id="mrs_01_1931__a00fba75f7151480d8c8719dbc81891b7">Indicates whether to use ReliableKafkaReceiver. This receiver ensures the integrity of streaming data.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.030000000000001%" headers="mcps1.3.8.3.2.4.1.3 "><p id="mrs_01_1931__a74fc1e7b54c6438c870145dd9a997948">false</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1931__scf2ad03bcc8d4954af747700f37a94c4"><h4 class="sectiontitle">Netty/NIO and Hash/Sort Configuration</h4><p id="mrs_01_1931__a56f22b65ccdd46fc97cbc5a21053becb">Shuffle is critical for big data processing, and the network is critical for the entire shuffle process. Currently, Spark supports two shuffle modes: hash and sort. There are two network modes: Netty and NIO.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1931__tbe33d85cf3614af6b56b9ce0cc54ed20" frame="border" border="1" rules="all"><caption><b>Table 8 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1931__r0b13ba70667d45f8acbdc5528b7bb551"><th align="left" class="cellrowborder" valign="top" width="28.000000000000004%" id="mcps1.3.9.3.2.4.1.1"><p id="mrs_01_1931__adf319b6842ae4c1181e0384fdca41113"><strong id="mrs_01_1931__a53ab71ba40cf4134a65e8d86d3ce93a2">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="60%" id="mcps1.3.9.3.2.4.1.2"><p id="mrs_01_1931__af9a044d0f26d41cba96c49cfbccdf154"><strong id="mrs_01_1931__a81708f750b1b4788b43309c92432ff18">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="12%" id="mcps1.3.9.3.2.4.1.3"><p id="mrs_01_1931__abc8807c9d4f44a079e0a7a559c6a24c8"><strong id="mrs_01_1931__a227eeb31796543a28cf3022afdc7e6ef">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1931__r7fb6bca87fff4310a073a4b32c988354"><td class="cellrowborder" valign="top" width="28.000000000000004%" headers="mcps1.3.9.3.2.4.1.1 "><p id="mrs_01_1931__af37557dc47a9401f86184f76619dba0f">spark.shuffle.manager</p>
+</td>
+<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.9.3.2.4.1.2 "><p id="mrs_01_1931__a745f069cd6704343975b2c01f09e97df">Indicates the data processing mode. There are two implementation modes: sort and hash. The sort shuffle has a higher memory utilization. It is the default option in Spark 1.2 and later versions.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12%" headers="mcps1.3.9.3.2.4.1.3 "><p id="mrs_01_1931__a012e1fd0740e4b8692871fb587e141e0">SORT</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r5c936d2c5e7542d59f19a2bdb64a40eb"><td class="cellrowborder" valign="top" width="28.000000000000004%" headers="mcps1.3.9.3.2.4.1.1 "><p id="mrs_01_1931__af928b14cdc184e769b708f5a9d9f7fef">spark.shuffle.consolidateFiles</p>
+</td>
+<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.9.3.2.4.1.2 "><p id="mrs_01_1931__a0495abd771674cc18de39911ca0cde5d">(Only in hash mode) To merge intermediate files created during shuffle, set this parameter to <strong id="mrs_01_1931__b481162316113115">true</strong>. Decreasing the number of files to be created can improve the processing performance of the file system and reduce risks. If the <strong id="mrs_01_1931__b2003867281113115">ext4</strong> or <strong id="mrs_01_1931__b412427101113115">xfs</strong> file system is used, you are advised to set this parameter to <strong id="mrs_01_1931__b329976849113115">true</strong>. Due to file system restrictions, this setting on <strong id="mrs_01_1931__b1214872893113115">ext3</strong> may reduce the processing performance of a server with more than eight cores.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12%" headers="mcps1.3.9.3.2.4.1.3 "><p id="mrs_01_1931__a39787a77efbf44c489569972292a2ab9">false</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r376ee82b592e4c7ebeb044b13f69ac88"><td class="cellrowborder" valign="top" width="28.000000000000004%" headers="mcps1.3.9.3.2.4.1.1 "><p id="mrs_01_1931__a39f32b76ccce425f8ae663b8dc4bac54">spark.shuffle.sort.bypassMergeThreshold</p>
+</td>
+<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.9.3.2.4.1.2 "><p id="mrs_01_1931__a532a10ea7a8940df8dcd33f40acfbfe7">This parameter is valid only when <strong id="mrs_01_1931__b257604284113115">spark.shuffle.manager</strong> is set to <strong id="mrs_01_1931__b1189004723113115">sort</strong>. When Map aggregation is not performed and the number of partitions for Reduce tasks is less than or equal to the value of this parameter, do not merge and sort data to prevent performance deterioration caused by unnecessary sorting.</p>
+<p id="mrs_01_1931__a18169db2dab8401bbb548143f159ef5c"></p>
+</td>
+<td class="cellrowborder" valign="top" width="12%" headers="mcps1.3.9.3.2.4.1.3 "><p id="mrs_01_1931__acfe325d2ed40479b81b8ad6ade5c16ba">200</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r11d3300412eb4f5da43c236297322dac"><td class="cellrowborder" valign="top" width="28.000000000000004%" headers="mcps1.3.9.3.2.4.1.1 "><p id="mrs_01_1931__a1d54a5b04f10472cbb37aaa6b9a7227f">spark.shuffle.io.maxRetries</p>
+</td>
+<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.9.3.2.4.1.2 "><p id="mrs_01_1931__a8ac3d1a1b9f340168fa72f2f21142c9c">(Only in Netty mode) If this parameter is set to a non-zero value, fetch failures caused by I/O-related exceptions will be automatically retried. This retry logic helps the large shuffle keep stable when long GC pauses or intermittent network disconnections occur.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12%" headers="mcps1.3.9.3.2.4.1.3 "><p id="mrs_01_1931__a5f29820a5138447391f59946f32f774e">12</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r16860423891648168e136ef1b00b829a"><td class="cellrowborder" valign="top" width="28.000000000000004%" headers="mcps1.3.9.3.2.4.1.1 "><p id="mrs_01_1931__abb0902a7539d46268e6c45ec8bcc7152">spark.shuffle.io.numConnectionsPerPeer</p>
+</td>
+<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.9.3.2.4.1.2 "><p id="mrs_01_1931__aa331b748e0654b7594bd906344482e1b">(Only in Netty mode) Connections between hosts are reused to reduce the number of connections between large clusters. For a cluster with many disks but a few hosts, this function may make concurrent requests unable to occupy all disks. Therefore, you can increase the value of this parameter.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12%" headers="mcps1.3.9.3.2.4.1.3 "><p id="mrs_01_1931__ac246cfef2af14031810eda8fd018ec24">1</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__raea9e9d61d944d15a50ca36f7410e704"><td class="cellrowborder" valign="top" width="28.000000000000004%" headers="mcps1.3.9.3.2.4.1.1 "><p id="mrs_01_1931__a9e524a60f91244e5a79d11ae06e66903">spark.shuffle.io.preferDirectBufs</p>
+</td>
+<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.9.3.2.4.1.2 "><p id="mrs_01_1931__a4693a00cd73d4f6ca97763a53260b7c5">(Only in Netty mode) The off-heap buffer is used to reduce GC during shuffle and cache block transfer. In an environment where off-heap memory is strictly limited, you can disable it to force all applications from Netty to use heap memory.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12%" headers="mcps1.3.9.3.2.4.1.3 "><p id="mrs_01_1931__a307c25d5478b4094bf660f355d36f443">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r10b17847b1244cdda540d94940913252"><td class="cellrowborder" valign="top" width="28.000000000000004%" headers="mcps1.3.9.3.2.4.1.1 "><p id="mrs_01_1931__a3b3bc038145040ea91f287ea57da9e44">spark.shuffle.io.retryWait</p>
+</td>
+<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.9.3.2.4.1.2 "><p id="mrs_01_1931__a88ecd46b0ccb44658e4cac355ea22d4f">(Only in Netty mode) Specifies the duration for waiting for fetch retry, in seconds. The maximum delay caused by retry is <strong id="mrs_01_1931__b780075325113115">maxRetries</strong> x <strong id="mrs_01_1931__b166685056113115">retryWait</strong>. The default value is 15 seconds.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12%" headers="mcps1.3.9.3.2.4.1.3 "><p id="mrs_01_1931__ab2c5b5fbe8c5426d8d0f4cec8043dba9">5</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1931__s2bd5b91ead3b4b3b92a1f7fe38d2d7c1"><h4 class="sectiontitle">Common Shuffle Configuration</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1931__tc5ccf855dfb74cef9405f311543e998f" frame="border" border="1" rules="all"><caption><b>Table 9 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1931__r83153d4d0a0a4877809c2a185c0cb6e4"><th align="left" class="cellrowborder" valign="top" width="28.290000000000003%" id="mcps1.3.10.2.2.4.1.1"><p id="mrs_01_1931__a99694619d110439a9922244cbabbe70b"><strong id="mrs_01_1931__a054859cc32d7493b930cee5ab31ed359">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="59.680000000000014%" id="mcps1.3.10.2.2.4.1.2"><p id="mrs_01_1931__aab6576cae8e64405ba26b72286157014"><strong id="mrs_01_1931__ab59c5ff7b91c4c5982c28cd025b35e7a">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="12.030000000000001%" id="mcps1.3.10.2.2.4.1.3"><p id="mrs_01_1931__ab032d528f1eb430592bf42dd35972adc"><strong id="mrs_01_1931__a93a3de685d3d48769cc64ab95f8926ec">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1931__r38a7a881df884b76988c7e8c88714240"><td class="cellrowborder" valign="top" width="28.290000000000003%" headers="mcps1.3.10.2.2.4.1.1 "><p id="mrs_01_1931__a8be5dd9a41ca4fec95bd299b436ade3f">spark.shuffle.spill</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.680000000000014%" headers="mcps1.3.10.2.2.4.1.2 "><p id="mrs_01_1931__a4826fd2a742244e7b7b41378e0cac393">If this parameter is set to <span class="parmvalue" id="mrs_01_1931__pef7a9cdab72f4648ae042c8c61b9172a"><b>true</b></span>, data is overflowed to the disk to limit the memory usage during a Reduce task.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.030000000000001%" headers="mcps1.3.10.2.2.4.1.3 "><p id="mrs_01_1931__ac6a429c150a64e31aef959aca410e6b7">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rb09050db6b5346b4a0e34b8dde100c5c"><td class="cellrowborder" valign="top" width="28.290000000000003%" headers="mcps1.3.10.2.2.4.1.1 "><p id="mrs_01_1931__a055f72c7a4a24d7bac4a92b10ed2f710">spark.shuffle.spill.compress</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.680000000000014%" headers="mcps1.3.10.2.2.4.1.2 "><p id="mrs_01_1931__afea0a0677a3c463e88f29177c2956ab7">Indicates whether to compress the data overflowed during shuffle. The algorithm specified by <strong id="mrs_01_1931__b670836352113116">spark.io.compression.codec</strong> is used for data compression.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.030000000000001%" headers="mcps1.3.10.2.2.4.1.3 "><p id="mrs_01_1931__a8013452116764a4b9279c2f68212f74a">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r7aeff67901d64ccc8ddef97b951ec855"><td class="cellrowborder" valign="top" width="28.290000000000003%" headers="mcps1.3.10.2.2.4.1.1 "><p id="mrs_01_1931__a7ad384dfbe114b3dac0648764c889fb7">spark.shuffle.file.buffer</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.680000000000014%" headers="mcps1.3.10.2.2.4.1.2 "><p id="mrs_01_1931__a5b78454a5fbd43f6beabe8aee348bd9d">Specifies the size of the memory buffer for storing output streams of each shuffle file, in KB. These buffers can reduce the number of disk seek and system calls during the creation of intermediate shuffle file streams. You can also set this parameter by setting <strong id="mrs_01_1931__b1786589099113116">spark.shuffle.file.buffer.kb</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.030000000000001%" headers="mcps1.3.10.2.2.4.1.3 "><p id="mrs_01_1931__a4808c377af6e4f1487916056662a0fba">32KB</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rb7afd493e88f40b1a4e4462a022c43af"><td class="cellrowborder" valign="top" width="28.290000000000003%" headers="mcps1.3.10.2.2.4.1.1 "><p id="mrs_01_1931__ab504f1101439454c8a80f6cda344ed0a">spark.shuffle.compress</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.680000000000014%" headers="mcps1.3.10.2.2.4.1.2 "><p id="mrs_01_1931__aaf33dba41aa94b94aabcd2daaf19aef8">Indicates whether to compress the output files of a Map task. You are advised to compress the broadcast variables. using <strong id="mrs_01_1931__b506790833113116">spark.io.compression.codec</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.030000000000001%" headers="mcps1.3.10.2.2.4.1.3 "><p id="mrs_01_1931__a97840c07c0e34e09a9055bc316ecab85">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r08728360a1f04c4fa972c1aae20e0146"><td class="cellrowborder" valign="top" width="28.290000000000003%" headers="mcps1.3.10.2.2.4.1.1 "><p id="mrs_01_1931__ae8bbd08cab154570843ee050533ab4bd">spark.reducer.maxSizeInFlight</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.680000000000014%" headers="mcps1.3.10.2.2.4.1.2 "><p id="mrs_01_1931__aa5e66be9eab3455aa3279822dc25faf1">Specifies the maximum output size of the Map task that fetches data from each Reduce task, in MB. Each output requires a buffer, which is the fixed memory overhead of each Reduce task. Therefore, keep the value small unless there is a large amount of memory. You can also set this parameter by setting <strong id="mrs_01_1931__b327074468113116">spark.reducer.maxMbInFlight</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.030000000000001%" headers="mcps1.3.10.2.2.4.1.3 "><p id="mrs_01_1931__a7b02c5b936d5415f97d1a41138356814">48MB</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1931__s990e0d21e78e41109198511e99faf173"><h4 class="sectiontitle">Driver Configuration</h4><p id="mrs_01_1931__a76f06545d2bb4d43b4435cfb1dd9ef52">Spark driver can be considered as the client of Spark applications. All code parsing is completed in this process. Therefore, the parameters of this process are especially important. The following describes how to configure parameters for Spark driver.</p>
+<ul id="mrs_01_1931__u4ddab913a2ee47ae8a2a40916c7a2421"><li id="mrs_01_1931__lb22ff7649bdf4f03913750c5b7bb13c7"><strong id="mrs_01_1931__b1852145599113116">JavaOptions</strong>: parameter following <span class="parmvalue" id="mrs_01_1931__p9bd200db836447f586714ab7fd6fda8a"><b>-D</b></span> in the Java command, which can be obtained by <strong id="mrs_01_1931__b450827215113116">System.getProperty</strong></li><li id="mrs_01_1931__l3909ddec67cb45f8ab58729c5c4b07bf"><strong id="mrs_01_1931__b1066136752113116">ClassPath</strong>: path for loading the Java classes and Native library</li><li id="mrs_01_1931__lc82f855a8bab4e4590e55e2b4d5c1971"><strong id="mrs_01_1931__b889517959113116">Java Memory and Cores</strong>: memory and CPU usage of the Java process</li><li id="mrs_01_1931__l44405e5a9b054f7cb517ee99ea6c642b"><strong id="mrs_01_1931__b1444415643113116">Spark Configuration</strong>: Spark internal parameter, which is irrelevant to the Java process</li></ul>
+
+<div class="tablenoborder"><a name="mrs_01_1931__t846a81171d4c4af1908c5cf55578f022"></a><a name="t846a81171d4c4af1908c5cf55578f022"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1931__t846a81171d4c4af1908c5cf55578f022" frame="border" border="1" rules="all"><caption><b>Table 10 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1931__r8295959eb9d445099a0efb28b7e5df3f"><th align="left" class="cellrowborder" valign="top" width="23.400000000000002%" id="mcps1.3.11.4.2.4.1.1"><p id="mrs_01_1931__aede8a4be82894b18bc6162211b87fa93"><strong id="mrs_01_1931__a92af67423b14482ca5b412ef87435d0d">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="57.42%" id="mcps1.3.11.4.2.4.1.2"><p id="mrs_01_1931__a864abc0fd306460ebf5d8e27c99df6ff"><strong id="mrs_01_1931__a6b70ba253d4a4b9a9d5ad20b682ddd94">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="19.18%" id="mcps1.3.11.4.2.4.1.3"><p id="mrs_01_1931__afe0045aea5464d3ca783dfaa07b6b770"><strong id="mrs_01_1931__a14f272e40f31495ba0a764fa729c0a57">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1931__re286ab75887c451393bf2c1e485503d0"><td class="cellrowborder" valign="top" width="23.400000000000002%" headers="mcps1.3.11.4.2.4.1.1 "><p id="mrs_01_1931__a55a1a813b1df4f86aa58ebb49fa66c03">spark.driver.extraJavaOptions</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.42%" headers="mcps1.3.11.4.2.4.1.2 "><p id="mrs_01_1931__ab6821797529a49008dc578ba89142049">Indicates a series of extra JVM options passed to the driver, for example, GC setting and logging.</p>
+<p id="mrs_01_1931__a5158db00e12e48db9e152a262c1c77f0">Note: In client mode, this configuration cannot be set directly in the application using SparkConf because the driver JVM has been started. You can use <strong id="mrs_01_1931__b797228868113116">--driver-java-options</strong> or the default property file to set the parameter.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.18%" headers="mcps1.3.11.4.2.4.1.3 "><p id="mrs_01_1931__a118acd2b943f4c958a5536c678fe5401">For details, see <a href="mrs_01_1930.html">Configuring Parameters Rapidly</a>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rd1246d2f31b945a69a3b248d84feb7d7"><td class="cellrowborder" valign="top" width="23.400000000000002%" headers="mcps1.3.11.4.2.4.1.1 "><p id="mrs_01_1931__a7f6b53dcf4594cb49871c89e09e04c44">spark.driver.extraClassPath</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.42%" headers="mcps1.3.11.4.2.4.1.2 "><p id="mrs_01_1931__aedb2e3eaf2f744cbaa1b36af6c2ad427">Indicates the extra class path entries attached to the class path of the driver.</p>
+<p id="mrs_01_1931__a166dff8c7348438ea3a16f8fffe6699e">Note: In client mode, this configuration cannot be set directly in the application using SparkConf because the driver JVM has been started. You can use <strong id="mrs_01_1931__b61112951113116">--driver-java-options</strong> or the default property file to set the parameter.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.18%" headers="mcps1.3.11.4.2.4.1.3 "><p id="mrs_01_1931__p124045883912">For details, see <a href="mrs_01_1930.html">Configuring Parameters Rapidly</a>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rfd37645bfccb4b79a8afab1f51a51894"><td class="cellrowborder" valign="top" width="23.400000000000002%" headers="mcps1.3.11.4.2.4.1.1 "><p id="mrs_01_1931__a01968fc1c0174f06a9e5d551db06cc80">spark.driver.userClassPathFirst</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.42%" headers="mcps1.3.11.4.2.4.1.2 "><p id="mrs_01_1931__ab3e1612d9c134c428f4cb58081ea7552">(Trial) Indicates whether to allow JAR files added by users to take precedence over Spark JAR files when classes are loaded in the driver. This feature can be used to mitigate conflicts between Spark dependencies and user dependencies. This feature is in the trial phase and is used only in cluster mode.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.18%" headers="mcps1.3.11.4.2.4.1.3 "><p id="mrs_01_1931__a89e42fbf000a4752bb6f5af299e03f0c">false</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rb45579b87a8b4a3f98db7d29bdd08cb9"><td class="cellrowborder" valign="top" width="23.400000000000002%" headers="mcps1.3.11.4.2.4.1.1 "><p id="mrs_01_1931__a8632db243aff4779b4ed110b6701bf6e">spark.driver.extraLibraryPath</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.42%" headers="mcps1.3.11.4.2.4.1.2 "><p id="mrs_01_1931__aec06689a2eb94420b4c26732fe38ffc4">Sets a special library path for starting the driver JVM.</p>
+<p id="mrs_01_1931__aed9653c913e8477795e769ea67b62245">Note: In client mode, this configuration cannot be set directly in the application using SparkConf because the driver JVM has been started. You can use <strong id="mrs_01_1931__b2055353439113116">--driver-java-options</strong> or the default property file to set the parameter.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.18%" headers="mcps1.3.11.4.2.4.1.3 "><ul id="mrs_01_1931__ul16242185128"><li id="mrs_01_1931__li6679144981215">JDBCServer2x:<p id="mrs_01_1931__p2351852181211"><a name="mrs_01_1931__li6679144981215"></a><a name="li6679144981215"></a>${SPARK_INSTALL_HOME}/spark/native</p>
+</li><li id="mrs_01_1931__li118403811124">SparkResource2x:<p id="mrs_01_1931__p20561417151318"><a name="mrs_01_1931__li118403811124"></a><a name="li118403811124"></a>${DATA_NODE_INSTALL_HOME}/hadoop/lib/native</p>
+</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_1931__rf3ee95f63c244e228cbb3ff972cf7c23"><td class="cellrowborder" valign="top" width="23.400000000000002%" headers="mcps1.3.11.4.2.4.1.1 "><p id="mrs_01_1931__a9ce9988eb0ec404aa91f5dcafdba0297">spark.driver.cores</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.42%" headers="mcps1.3.11.4.2.4.1.2 "><p id="mrs_01_1931__adda49d00f41241ed9a2544dd656a93e3">Specifies the number of cores used by the driver process. This parameter is available only in cluster mode.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.18%" headers="mcps1.3.11.4.2.4.1.3 "><p id="mrs_01_1931__aa71ade98d3e74c9dbd4ae02c0cc0d882">1</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r7da7eee514954fe4af5fade61419130f"><td class="cellrowborder" valign="top" width="23.400000000000002%" headers="mcps1.3.11.4.2.4.1.1 "><p id="mrs_01_1931__a1835600b2e514d2a847d3eefa9f02def">spark.driver.memory</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.42%" headers="mcps1.3.11.4.2.4.1.2 "><p id="mrs_01_1931__a485f98377ae24013b6f3beebd6b80006">Indicates the memory used by the driver process, that is, the memory used by the SparkContext initialization process (for example, 512 MB and 2 GB).</p>
+<p id="mrs_01_1931__a8c8cf912bee541a58dfcd13e5b08347e">Note: In client mode, this configuration cannot be set directly in the application using SparkConf because the driver JVM has been started. You can use <strong id="mrs_01_1931__b167469609113116">--driver-java-options</strong> or the default property file to set the parameter.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.18%" headers="mcps1.3.11.4.2.4.1.3 "><p id="mrs_01_1931__a29bf63e18a0347dbaf219dd4e9ed8fc4">4G</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r9e7544e92f8644febec534624592f588"><td class="cellrowborder" valign="top" width="23.400000000000002%" headers="mcps1.3.11.4.2.4.1.1 "><p id="mrs_01_1931__a9c0405bd4fee403786a4a45ed49e4f3b">spark.driver.maxResultSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.42%" headers="mcps1.3.11.4.2.4.1.2 "><p id="mrs_01_1931__a3a9d79264cfd44a2830748dbdfdad211">Indicates the total size of serialization results of all partitions for each Spark action operation (for example, collect). The value must be at least 1 MB. If this parameter is set to <strong id="mrs_01_1931__b149151958113116">0</strong>, the size is not limited. If the total amount exceeds this limit, the task will be aborted. If the value is too large, the memory of the driver may be insufficient (depending on the object memory overhead of <strong id="mrs_01_1931__b1649106688113116">spark.driver.memory</strong> and JVM). Set a proper limit to ensure sufficient memory for the driver.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.18%" headers="mcps1.3.11.4.2.4.1.3 "><p id="mrs_01_1931__a49ce6d3540a24d3687bdab1a72f3ad59">1G</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r449c9a5b757e4962948e54a56f339d8d"><td class="cellrowborder" valign="top" width="23.400000000000002%" headers="mcps1.3.11.4.2.4.1.1 "><p id="mrs_01_1931__a218fe8725c8949ecaf0b9cd0c929947b">spark.driver.host</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.42%" headers="mcps1.3.11.4.2.4.1.2 "><p id="mrs_01_1931__a274ae3e9398b409c9c4ba7d8f2e0cb74">Specifies the host name or IP address for the driver to listen on, which is used for the driver to communicate with the executor.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.18%" headers="mcps1.3.11.4.2.4.1.3 "><p id="mrs_01_1931__a6b7aa6ecad7a4766ac04018fb9043308">(local hostname)</p>
+<p id="mrs_01_1931__a3b67d60491154b45971a0e549fd7886c"></p>
+</td>
+</tr>
+<tr id="mrs_01_1931__re28d63ae282e43939c45f416caa38a11"><td class="cellrowborder" valign="top" width="23.400000000000002%" headers="mcps1.3.11.4.2.4.1.1 "><p id="mrs_01_1931__a9d16dc8dd04642578f2d4fe291560dd2">spark.driver.port</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.42%" headers="mcps1.3.11.4.2.4.1.2 "><p id="mrs_01_1931__afd95dca10f2e491cac890c1011533754">Specifies the port for the driver to listen on, which is used for the driver to communicate with the executor.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.18%" headers="mcps1.3.11.4.2.4.1.3 "><p id="mrs_01_1931__a85f74546e2f144edb2b0e21fb7fe6e53">(random)</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1931__s80b21017c9f049b2bdf1795f164b45b9"><h4 class="sectiontitle">ExecutorLauncher Configuration</h4><p id="mrs_01_1931__af80e6314ae2c4e729ec32c7b19f29e35">ExecutorLauncher exists only in Yarn-client mode. In Yarn-client mode, ExecutorLauncher and the driver are not in the same process. Therefore, you need to configure parameters for ExecutorLauncher.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1931__t1ef0774261d14a90a95272b739713705" frame="border" border="1" rules="all"><caption><b>Table 11 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1931__r638e026d85434dd29732123ba2e22822"><th align="left" class="cellrowborder" valign="top" width="28.29%" id="mcps1.3.12.3.2.4.1.1"><p id="mrs_01_1931__a855eddf44d9a4c988d5635485b908068"><strong id="mrs_01_1931__ac9461a6e328c457c8e62ed0fbd477245">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="58.18%" id="mcps1.3.12.3.2.4.1.2"><p id="mrs_01_1931__a3c0fedfe997f425bb98991b7a46d5002"><strong id="mrs_01_1931__a002f39a8e19942b896860ce25fceed61">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="13.530000000000001%" id="mcps1.3.12.3.2.4.1.3"><p id="mrs_01_1931__a9d703bc553b64226bf14a303f72848e3"><strong id="mrs_01_1931__ae57adcddda9740fcb1877ddb55cbe7d9">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1931__ra69fb56da7344cac9ce65fdb62ed6222"><td class="cellrowborder" valign="top" width="28.29%" headers="mcps1.3.12.3.2.4.1.1 "><p id="mrs_01_1931__aeae9d24fefbd44418632786a9a79298a">spark.yarn.am.extraJavaOptions</p>
+</td>
+<td class="cellrowborder" valign="top" width="58.18%" headers="mcps1.3.12.3.2.4.1.2 "><p id="mrs_01_1931__a66cf537fe1e146b588bca9cae6c9072d">Indicates a string of extra JVM options to pass to the YARN ApplicationMaster in client mode. Use <strong id="mrs_01_1931__b830107071113116">spark.driver.extraJavaOptions</strong> in cluster mode.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.530000000000001%" headers="mcps1.3.12.3.2.4.1.3 "><p id="mrs_01_1931__p1612316408453">For details, see <a href="mrs_01_1930.html">Configuring Parameters Rapidly</a>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__ra015a36bfd674441b46b1f4557123bbb"><td class="cellrowborder" valign="top" width="28.29%" headers="mcps1.3.12.3.2.4.1.1 "><p id="mrs_01_1931__a3052112d6f8548efb7bdd737f918f6a0">spark.yarn.am.memory</p>
+</td>
+<td class="cellrowborder" valign="top" width="58.18%" headers="mcps1.3.12.3.2.4.1.2 "><p id="mrs_01_1931__ad6e06ad2b8914f12b71b8a08f01c48a0">Indicates the amount of memory to use for the YARN ApplicationMaster in client mode, in the same format as JVM memory strings (for example, 512 MB or 2 GB). In cluster mode, use <strong id="mrs_01_1931__b835892616113116">spark.driver.memory</strong> instead.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.530000000000001%" headers="mcps1.3.12.3.2.4.1.3 "><p id="mrs_01_1931__a9c79836f6561417392c44db32440ec85">1G</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rb8ec6c19ce7047b2ab43f0166f9499f4"><td class="cellrowborder" valign="top" width="28.29%" headers="mcps1.3.12.3.2.4.1.1 "><p id="mrs_01_1931__afbbfd6984e154762bc4c27eb74ba5f99">spark.yarn.am.memoryOverhead</p>
+</td>
+<td class="cellrowborder" valign="top" width="58.18%" headers="mcps1.3.12.3.2.4.1.2 "><p id="mrs_01_1931__a6be2a782b49640c9875f9dceea4a634f">This parameter is the same as <span class="parmname" id="mrs_01_1931__p697de52ae3674b718e4408b02eeab6c5"><b>spark.yarn.driver.memoryOverhead</b></span>. However, this parameter applies only to ApplicationMaster in client mode.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.530000000000001%" headers="mcps1.3.12.3.2.4.1.3 "><p id="mrs_01_1931__a66415168fce441f198c2ca0c3cf98e4c">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rf861720168fe457099bffb92c6adc913"><td class="cellrowborder" valign="top" width="28.29%" headers="mcps1.3.12.3.2.4.1.1 "><p id="mrs_01_1931__a85337dcddcce46ef8641ab7c367fde43">spark.yarn.am.cores</p>
+</td>
+<td class="cellrowborder" valign="top" width="58.18%" headers="mcps1.3.12.3.2.4.1.2 "><p id="mrs_01_1931__a1e0a9f2f491f4c219a0740046c89408e">Indicates the number of cores to use for the YARN ApplicationMaster in client mode. Use <strong id="mrs_01_1931__b1106285449113116">spark.driver.cores</strong> in cluster mode.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.530000000000001%" headers="mcps1.3.12.3.2.4.1.3 "><p id="mrs_01_1931__a1b15294254d3432081593b607a470afb">1</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1931__sc117672c09774809ab1da11fa1055ddd"><h4 class="sectiontitle">Executor Configuration</h4><p id="mrs_01_1931__a101cf78231b54d2ab2143f30f8bef6d0">An executor is a Java process. However, unlike the driver and ApplicationMaster, an executor can have multiple processes. Spark supports only same configurations. That is, the process parameters of all executors must be the same.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1931__t8a7e567c60ff4f148b5721f76b512791" frame="border" border="1" rules="all"><caption><b>Table 12 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1931__r3e4bb0cae1854a2ea32795732163f305"><th align="left" class="cellrowborder" valign="top" width="28.29%" id="mcps1.3.13.3.2.4.1.1"><p id="mrs_01_1931__a464975e84e994960ac4d65c8f3934517"><strong id="mrs_01_1931__a994aa0a98a934cee989ab1a2f96b431e">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="58.18%" id="mcps1.3.13.3.2.4.1.2"><p id="mrs_01_1931__aaba8dc12da6b426b910b3fc6c2b90680"><strong id="mrs_01_1931__ac06d4ed2fd474b9ba98a3b1eab865079">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="13.530000000000001%" id="mcps1.3.13.3.2.4.1.3"><p id="mrs_01_1931__a0f9a5bc8ba63441387b9f83d13b70d42"><strong id="mrs_01_1931__aaebcfa0d75614cbdb1bba582aa4c6d0f">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1931__rdb66c178f69f448b903afe5c1993a451"><td class="cellrowborder" valign="top" width="28.29%" headers="mcps1.3.13.3.2.4.1.1 "><p id="mrs_01_1931__afd6eac5e6bc7497d930081bff2c1ab11">spark.executor.extraJavaOptions</p>
+</td>
+<td class="cellrowborder" valign="top" width="58.18%" headers="mcps1.3.13.3.2.4.1.2 "><p id="mrs_01_1931__a4e021a041e024fedb228a1fb826333bf">Indicates extra JVM option passed to the executor, for example, GC setting and logging. Do not set Spark attributes or heap size using this option. Instead, set Spark attributes using the SparkConf object or the <strong id="mrs_01_1931__b1966447375113116">spark-defaults.conf</strong> file specified when the spark-submit script is called. Set heap size using <strong id="mrs_01_1931__b661552857113116">spark.executor.memory</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.530000000000001%" headers="mcps1.3.13.3.2.4.1.3 "><p id="mrs_01_1931__a90a961473bdb479e990f1e171ed9262d">For details, see <a href="mrs_01_1930.html">Configuring Parameters Rapidly</a>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r0a552b96474444e3bb431dbc9487dbfe"><td class="cellrowborder" valign="top" width="28.29%" headers="mcps1.3.13.3.2.4.1.1 "><p id="mrs_01_1931__a3fa4bd9af2f747bc8dfa8926abcc3b9f">spark.executor.extraClassPath</p>
+</td>
+<td class="cellrowborder" valign="top" width="58.18%" headers="mcps1.3.13.3.2.4.1.2 "><p id="mrs_01_1931__a6bb11e0126f14864bcd72b237a264b8c">Indicates the extra classpath attached to the executor classpath. This parameter ensures compatibility with historical versions of Spark. Generally, you do not need to set this parameter.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.530000000000001%" headers="mcps1.3.13.3.2.4.1.3 "><p id="mrs_01_1931__a0eecac39cc5b45179de6fdc824861c12">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r4502a369c486475fbe7bc2bc950e07e0"><td class="cellrowborder" valign="top" width="28.29%" headers="mcps1.3.13.3.2.4.1.1 "><p id="mrs_01_1931__ae84b648aa0f34482a1c3724c494d1e8d">spark.executor.extraLibraryPath</p>
+</td>
+<td class="cellrowborder" valign="top" width="58.18%" headers="mcps1.3.13.3.2.4.1.2 "><p id="mrs_01_1931__a97950153a0d9473e951cd1694d7a052d">Sets the special library path used when the executor JVM is started.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.530000000000001%" headers="mcps1.3.13.3.2.4.1.3 "><p id="mrs_01_1931__p1150312235483">For details, see <a href="mrs_01_1930.html">Configuring Parameters Rapidly</a>.</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r92927a22e8164744b37d5f734b4b190c"><td class="cellrowborder" valign="top" width="28.29%" headers="mcps1.3.13.3.2.4.1.1 "><p id="mrs_01_1931__a9b564f425907497e995a515a39d317b0">spark.executor.userClassPathFirst</p>
+</td>
+<td class="cellrowborder" valign="top" width="58.18%" headers="mcps1.3.13.3.2.4.1.2 "><p id="mrs_01_1931__a0f5394ee4f4649a6b08be25210431a44">(Trial) Same function as <strong id="mrs_01_1931__b427107963113116">spark.driver.userClassPathFirst</strong>. However, this parameter applies to executor instances.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.530000000000001%" headers="mcps1.3.13.3.2.4.1.3 "><p id="mrs_01_1931__a4afb01ca655648419bcace4100256e00">false</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r0b0020d2dbf24e90a430f5d1f45a4999"><td class="cellrowborder" valign="top" width="28.29%" headers="mcps1.3.13.3.2.4.1.1 "><p id="mrs_01_1931__a601246d5ef984bf987d1d55efc5ecfe7">spark.executor.memory</p>
+</td>
+<td class="cellrowborder" valign="top" width="58.18%" headers="mcps1.3.13.3.2.4.1.2 "><p id="mrs_01_1931__a39ef2ebe37c54010906b7172865640cf">Indicates the memory size used by each executor process. Its character sting is in the same format as the JVM memory (example: 512 MB or 2 GB).</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.530000000000001%" headers="mcps1.3.13.3.2.4.1.3 "><p id="mrs_01_1931__a6a39042699fd45fe83c832776827f942">4G</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r219142fd5828404ebb31293db96ca077"><td class="cellrowborder" valign="top" width="28.29%" headers="mcps1.3.13.3.2.4.1.1 "><p id="mrs_01_1931__a470f02145e22400b915cc126c0bea155">spark.executorEnv.[EnvironmentVariableName]</p>
+</td>
+<td class="cellrowborder" valign="top" width="58.18%" headers="mcps1.3.13.3.2.4.1.2 "><p id="mrs_01_1931__ade2dfaad5fca441fb540135c0d9021b1">Adds the environment variable specified by <strong id="mrs_01_1931__b1900808321113116">EnvironmentVariableName</strong> to the executor process. You can specify multiple environment variables.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.530000000000001%" headers="mcps1.3.13.3.2.4.1.3 "><p id="mrs_01_1931__a239e1040e82d4a4eae75c3ab5964f7f4">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r528bf28c16914068bb9e91c760791da4"><td class="cellrowborder" valign="top" width="28.29%" headers="mcps1.3.13.3.2.4.1.1 "><p id="mrs_01_1931__a0deb0fef50c545d99b935c82ccf6b4ad">spark.executor.logs.rolling.maxRetainedFiles</p>
+</td>
+<td class="cellrowborder" valign="top" width="58.18%" headers="mcps1.3.13.3.2.4.1.2 "><p id="mrs_01_1931__acf1e0b442e9c4b828cbf647b3bc83253">Sets the number of latest log files to be retained by the system during rolling. The old log files are deleted. This function is disabled by default.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.530000000000001%" headers="mcps1.3.13.3.2.4.1.3 "><p id="mrs_01_1931__aee05cd8a6e2a449ab93d205f67c10e64">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__re5bd3136925c4b7aa2fd1b16f0602159"><td class="cellrowborder" valign="top" width="28.29%" headers="mcps1.3.13.3.2.4.1.1 "><p id="mrs_01_1931__a66eede6c0c874f45a01422088e6bef91">spark.executor.logs.rolling.size.maxBytes</p>
+</td>
+<td class="cellrowborder" valign="top" width="58.18%" headers="mcps1.3.13.3.2.4.1.2 "><p id="mrs_01_1931__a2c9f357b00114a5cb0452452887ff164">Sets the maximum size of the executor log file for rolling. This function is disabled by default. The value is in bytes. To automatically clear old logs, see <strong id="mrs_01_1931__b919141855113116">spark.executor.logs.rolling.maxRetainedFiles</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.530000000000001%" headers="mcps1.3.13.3.2.4.1.3 "><p id="mrs_01_1931__aa4f52ff6b5bd4659be98c91078f17b52">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r82d5c02fb8f0454e925e1f7003b201f2"><td class="cellrowborder" valign="top" width="28.29%" headers="mcps1.3.13.3.2.4.1.1 "><p id="mrs_01_1931__a05db71bf2f3445a2828922e023001bdd">spark.executor.logs.rolling.strategy</p>
+</td>
+<td class="cellrowborder" valign="top" width="58.18%" headers="mcps1.3.13.3.2.4.1.2 "><p id="mrs_01_1931__a3e7fbbdc1f8444b2ac952fce6c09b8d3">Sets the executor log rolling policy. Rolling is disabled by default. The value can be <strong id="mrs_01_1931__b457514208113116">time</strong> (time-based rolling) or <strong id="mrs_01_1931__b1001462513113116">size</strong> (size-based rolling). If this parameter is set to <strong id="mrs_01_1931__b576496085113116">time</strong>, the value of the <strong id="mrs_01_1931__b349667786113116">spark.executor.logs.rolling.time.interval</strong> attribute is used as the log rolling interval. If this parameter is set to <strong id="mrs_01_1931__b1790546423113116">size</strong>, <strong id="mrs_01_1931__b1378970792113116">spark.executor.logs.rolling.size.maxBytes</strong> is used to set the maximum size of the file for rolling.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.530000000000001%" headers="mcps1.3.13.3.2.4.1.3 "><p id="mrs_01_1931__a6d8fd126ec7a4aee8140f784db56e3d0">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r9947d743968c412588f1dfd4e60e4627"><td class="cellrowborder" valign="top" width="28.29%" headers="mcps1.3.13.3.2.4.1.1 "><p id="mrs_01_1931__a4f81449b7b2947b0bd186c2b7a5ccf04">spark.executor.logs.rolling.time.interval</p>
+</td>
+<td class="cellrowborder" valign="top" width="58.18%" headers="mcps1.3.13.3.2.4.1.2 "><p id="mrs_01_1931__ae44aa96ca8224a478108a0d8574c7f82">Sets the time interval for executor log rolling. This function is disabled by default. The value can be <strong id="mrs_01_1931__b1074536419113116">daily</strong>, <strong id="mrs_01_1931__b1415027228113116">hourly</strong>, <strong id="mrs_01_1931__b78166901113116">minutely</strong>, or any number of seconds. To automatically clear old logs, see <strong id="mrs_01_1931__b1475178267113116">spark.executor.logs.rolling.maxRetainedFiles</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.530000000000001%" headers="mcps1.3.13.3.2.4.1.3 "><p id="mrs_01_1931__a71447cbc722c4ab5837bc4c8bb6f610d">daily</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1931__sa850f74db37948e3981a5ce2449e6833"><h4 class="sectiontitle">WebUI</h4><p id="mrs_01_1931__add4d24117da344739887a391e3e5cf3c">The Web UI displays the running process and status of the Spark application.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1931__t681877b034a54c50a58b9e1864345ee4"></a><a name="t681877b034a54c50a58b9e1864345ee4"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1931__t681877b034a54c50a58b9e1864345ee4" frame="border" border="1" rules="all"><caption><b>Table 13 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1931__r2e2dfb7b7f744220ae16c49866a6f95a"><th align="left" class="cellrowborder" valign="top" width="28.29%" id="mcps1.3.14.3.2.4.1.1"><p id="mrs_01_1931__a10a131446519457d95d83df6d29783b4"><strong id="mrs_01_1931__a7c3b58a1e4eb49ddb88ee6be1a8b42c7">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="58.18%" id="mcps1.3.14.3.2.4.1.2"><p id="mrs_01_1931__ab888d01693e54d608a931dccb2433104"><strong id="mrs_01_1931__a8f6670a389604d368bbca32bc22b67e7">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="13.530000000000001%" id="mcps1.3.14.3.2.4.1.3"><p id="mrs_01_1931__ad783c0f2162a4a6f8154af045f457152"><strong id="mrs_01_1931__aa901087d3a50428e81be9b54603147e7">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1931__r531baf01e5e947d2b0c721dfb2e5858b"><td class="cellrowborder" valign="top" width="28.29%" headers="mcps1.3.14.3.2.4.1.1 "><p id="mrs_01_1931__a202e02074e714a36a341106b2b0057c6">spark.ui.killEnabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="58.18%" headers="mcps1.3.14.3.2.4.1.2 "><p id="mrs_01_1931__a73d5ec93a54d4a10bfc7eb6dfbaac974">Allows stages and jobs to be stopped on the web UI.</p>
+<div class="note" id="mrs_01_1931__n8f69b7bc25164b90bb06d8a017687530"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1931__a30a73a962a94433d9954f19584adf58e">For security purposes, the default value of this parameter is set to <strong id="mrs_01_1931__b1482558711113116">false</strong> to prevent misoperations. To enable this function, set this parameter to <strong id="mrs_01_1931__b314643566113116">true</strong> in the <strong id="mrs_01_1931__b674737933113116">spark-defaults.conf</strong> configuration file. Exercise caution when performing this operation.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="13.530000000000001%" headers="mcps1.3.14.3.2.4.1.3 "><p id="mrs_01_1931__a011ad8fe28424a93817310e368b1504a">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r9e714909e3a94851aeb463c1c825b0f6"><td class="cellrowborder" valign="top" width="28.29%" headers="mcps1.3.14.3.2.4.1.1 "><p id="mrs_01_1931__ac1162a420b084d2590c03e0f156ff1e7">spark.ui.port</p>
+</td>
+<td class="cellrowborder" valign="top" width="58.18%" headers="mcps1.3.14.3.2.4.1.2 "><p id="mrs_01_1931__ae75cc4ba2a454d3aa0d9c7a39a5b345c">Specifies the port for your application's dashboard, which displays memory and workload data.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.530000000000001%" headers="mcps1.3.14.3.2.4.1.3 "><p id="mrs_01_1931__a8d9e7b95894247e6b33b57a8b408ade3"></p>
+<ul id="mrs_01_1931__ubdf38b51c9604d5690fd357f652ed4ac"><li id="mrs_01_1931__l632e5933e0f34950b67161e836fb39ca">JDBCServer2x: <strong id="mrs_01_1931__b2414153412525">4040</strong></li><li id="mrs_01_1931__l5a59d7fe6ab34d5185ce54ded451b0d8">SparkResource2x: 0</li><li id="mrs_01_1931__li1114171211536">IndexServer2x: 22901</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_1931__r8c4773027d314cfdaa0bf7d275107bb0"><td class="cellrowborder" valign="top" width="28.29%" headers="mcps1.3.14.3.2.4.1.1 "><p id="mrs_01_1931__aab78a6ffb83e4940a75c6423753ed602">spark.ui.retainedJobs</p>
+</td>
+<td class="cellrowborder" valign="top" width="58.18%" headers="mcps1.3.14.3.2.4.1.2 "><p id="mrs_01_1931__a6e105e4acc954f40b9b7e1e194d627ba">Specifies the number of jobs recorded by the Spark UI and status API before GC.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.530000000000001%" headers="mcps1.3.14.3.2.4.1.3 "><p id="mrs_01_1931__a3dc7fa160bee49ab98470965ffcc0d40">1000</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rb532fd5647844b81be7c6b390b866911"><td class="cellrowborder" valign="top" width="28.29%" headers="mcps1.3.14.3.2.4.1.1 "><p id="mrs_01_1931__a41ff4858b7b8479b898c3bfd363c7da8">spark.ui.retainedStages</p>
+</td>
+<td class="cellrowborder" valign="top" width="58.18%" headers="mcps1.3.14.3.2.4.1.2 "><p id="mrs_01_1931__a00600ea19ff94c2d8773f51b670e2473">Specifies the number of stages recorded by the Spark UI and status API before GC.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.530000000000001%" headers="mcps1.3.14.3.2.4.1.3 "><p id="mrs_01_1931__af9b6d99b75f9487cbb9ea8cae7d03d54">1000</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1931__sca30cd5653134732b7cd5cc5bc994058"><h4 class="sectiontitle">HistoryServer</h4><p id="mrs_01_1931__a5454a8cce7e5482ca7fb5f2d8f16cdac">A History Server reads the <strong id="mrs_01_1931__b1951354192113116">EventLog</strong> file in the file system and displays the running status of the Spark application.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1931__t5e011e7472e947b895a0e2d4a788db0c" frame="border" border="1" rules="all"><caption><b>Table 14 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1931__r2a2ce206363f49d6a8c24440c05c121a"><th align="left" class="cellrowborder" valign="top" width="28.29%" id="mcps1.3.15.3.2.4.1.1"><p id="mrs_01_1931__ac6e3b12cb7fb4924bef0e51bca68693a"><strong id="mrs_01_1931__a768a4cac3a9948bc8cb933055be6b227">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="58.18%" id="mcps1.3.15.3.2.4.1.2"><p id="mrs_01_1931__a55a86ba5561345c9998289755f4f9562"><strong id="mrs_01_1931__acbbd5c2b0d314943bdf19286643ea0be">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="13.530000000000001%" id="mcps1.3.15.3.2.4.1.3"><p id="mrs_01_1931__a46db229b06fe46eb851c912cf4605ef6"><strong id="mrs_01_1931__a2e65eeca0cc745479acbb65651b1e266">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1931__r5f21f442f5534fc1a82f9cfa2cd28ab4"><td class="cellrowborder" valign="top" width="28.29%" headers="mcps1.3.15.3.2.4.1.1 "><p id="mrs_01_1931__acf4f232a989243eeb4d2995b87e06d57">spark.history.fs.logDirectory</p>
+</td>
+<td class="cellrowborder" valign="top" width="58.18%" headers="mcps1.3.15.3.2.4.1.2 "><p id="mrs_01_1931__a81ce84b1d6fe48deba131843bca4cd3e">Specifies the log directory of a History Server.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.530000000000001%" headers="mcps1.3.15.3.2.4.1.3 "><p id="mrs_01_1931__a31f9cd2f2617414fb30e3fecaade60dd">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r6cf31c8815fc4b91aadc7c242198cf4e"><td class="cellrowborder" valign="top" width="28.29%" headers="mcps1.3.15.3.2.4.1.1 "><p id="mrs_01_1931__a8a8c660d86f14cc8a80ab2dd2c61e8db">spark.history.ui.port</p>
+</td>
+<td class="cellrowborder" valign="top" width="58.18%" headers="mcps1.3.15.3.2.4.1.2 "><p id="mrs_01_1931__a4606125ab9b54f2397a628610db7480b">Specifies the port for JobHistory listening to connection.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.530000000000001%" headers="mcps1.3.15.3.2.4.1.3 "><p id="mrs_01_1931__p18350192918275">18080</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r40f9fbe599fa4c33918db79ca6071a4d"><td class="cellrowborder" valign="top" width="28.29%" headers="mcps1.3.15.3.2.4.1.1 "><p id="mrs_01_1931__a4521a73f3c3b4caeb5ec02eec502f39d">spark.history.fs.updateInterval</p>
+</td>
+<td class="cellrowborder" valign="top" width="58.18%" headers="mcps1.3.15.3.2.4.1.2 "><p id="mrs_01_1931__af1f2aa38329b437c94468105444a2d36">Specifies the update interval of the information displayed on a History Server, in seconds. Each update checks for changes made to the event logs in the persistent store.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.530000000000001%" headers="mcps1.3.15.3.2.4.1.3 "><p id="mrs_01_1931__aa9986751365f41009af6f0a8d6aa9983">10s</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r62f856c6cdcb4c1ea494bdc9a7050fe0"><td class="cellrowborder" valign="top" width="28.29%" headers="mcps1.3.15.3.2.4.1.1 "><p id="mrs_01_1931__a67c4e8c6b1224f099d40b6e46c543099">spark.history.fs.update.interval.seconds</p>
+</td>
+<td class="cellrowborder" valign="top" width="58.18%" headers="mcps1.3.15.3.2.4.1.2 "><p id="mrs_01_1931__aed83e1173cc94d90b197488fa2bacfdf">Specifies the interval for checking the update of each event log. This parameter has the same function as <strong id="mrs_01_1931__b169774127113116">spark.history.fs.updateInterval</strong>. <strong id="mrs_01_1931__b928206589113116">spark.history.fs.updateInterval</strong> is recommended.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.530000000000001%" headers="mcps1.3.15.3.2.4.1.3 "><p id="mrs_01_1931__a519bd7c09d114c07901bfa63da795ab0">10s</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r2a2832f2a0b1457e97ef5128eeaacb2d"><td class="cellrowborder" valign="top" width="28.29%" headers="mcps1.3.15.3.2.4.1.1 "><p id="mrs_01_1931__abe066a479ec044e0b8de46b6a7c174f8">spark.history.updateInterval</p>
+</td>
+<td class="cellrowborder" valign="top" width="58.18%" headers="mcps1.3.15.3.2.4.1.2 "><p id="mrs_01_1931__a66003088d09d46219e048e347615454b">This parameter has the same function as <strong id="mrs_01_1931__b749334320113116">spark.history.fs.update.interval.seconds</strong> and <strong id="mrs_01_1931__b348880081113116">spark.history.fs.updateInterval</strong>. <strong id="mrs_01_1931__b1649540383113116">spark.history.fs.updateInterval</strong> is recommended.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.530000000000001%" headers="mcps1.3.15.3.2.4.1.3 "><p id="mrs_01_1931__af8b2fafa701c4149902f34d248dd85d6">10s</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1931__se68abbb3b81548c0bbc6cdcc17254024"><h4 class="sectiontitle">History Server UI Timeout and Maximum Number of Access Times</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1931__t189419c804ed44629413d6af1319dd0f" frame="border" border="1" rules="all"><caption><b>Table 15 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1931__r9835629e3aef44458492b516ef419144"><th align="left" class="cellrowborder" valign="top" width="32.24%" id="mcps1.3.16.2.2.4.1.1"><p id="mrs_01_1931__ad25711b16baf443a8cf32cc92932c93d"><strong id="mrs_01_1931__a1e571f58247c4460a49d6da63f020a45">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="54.6%" id="mcps1.3.16.2.2.4.1.2"><p id="mrs_01_1931__a90c98da9b1ce4b4281b44de1f0c74a5a"><strong id="mrs_01_1931__a013188ba8fe549daab53cfa3d709e5bf">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="13.16%" id="mcps1.3.16.2.2.4.1.3"><p id="mrs_01_1931__aac39687d09f44815a6a965f1c615e51f"><strong id="mrs_01_1931__ad9d2a7b255404eff97dca283bd500007">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1931__r0a8aa9b9995143849dd55848d7173255"><td class="cellrowborder" valign="top" width="32.24%" headers="mcps1.3.16.2.2.4.1.1 "><p id="mrs_01_1931__a0093ce781d464292a9f7b3d97b93524f">spark.session.maxAge</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.6%" headers="mcps1.3.16.2.2.4.1.2 "><p id="mrs_01_1931__ae3665da1b85c466690a11fa45d2be35d">Specifies the session timeout interval, in seconds. This parameter applies only to the security mode. This parameter cannot be set in normal mode.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.16%" headers="mcps1.3.16.2.2.4.1.3 "><p id="mrs_01_1931__a3876cead438e43f9ab28646098056c79">600</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r31194dba6f2648ca99dcffbe1803b99d"><td class="cellrowborder" valign="top" width="32.24%" headers="mcps1.3.16.2.2.4.1.1 "><p id="mrs_01_1931__a2a9591655cb64c1abc73e16131efafeb">spark.connection.maxRequest</p>
+</td>
+<td class="cellrowborder" valign="top" width="54.6%" headers="mcps1.3.16.2.2.4.1.2 "><p id="mrs_01_1931__aaa04fad506244d6eaae46ade716b6d00">Specifies the maximum number of concurrent client access requests to JobHistory.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.16%" headers="mcps1.3.16.2.2.4.1.3 "><p id="mrs_01_1931__a57ccc80ade3d4945a43f2702eddf9bac">5000</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1931__s4e17242bc9794d6d89ffe53800c5fdb8"><h4 class="sectiontitle">EventLog</h4><p id="mrs_01_1931__ad7fa8e82782241e3a83c6bff9a6b9fdb">During the running of Spark applications, the running status is written into the file system in JSON format in real time for the History Server service to read and reproduce the application running status.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1931__tee3be067ce56486e8ad5c70c8f2acaf9" frame="border" border="1" rules="all"><caption><b>Table 16 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1931__rec9a271caee44249a34deee4d7f9a148"><th align="left" class="cellrowborder" valign="top" width="22.58%" id="mcps1.3.17.3.2.4.1.1"><p id="mrs_01_1931__a73d6965db4ae4481b99fbe311eb9e482"><strong id="mrs_01_1931__a20f5235a613e485ebfc587339eda5a82">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="64.03%" id="mcps1.3.17.3.2.4.1.2"><p id="mrs_01_1931__a158a8d05cc2e4e51a1b9cf491013ea32"><strong id="mrs_01_1931__a500a57fa8d0f49e492232f22613650e9">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="13.389999999999999%" id="mcps1.3.17.3.2.4.1.3"><p id="mrs_01_1931__a32613209de9b45eb82d140e6a7ab8c11"><strong id="mrs_01_1931__a83fdea545cac46d690f2d25bdf885c5e">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1931__r612575f3e90944aaac57598fca0340df"><td class="cellrowborder" valign="top" width="22.58%" headers="mcps1.3.17.3.2.4.1.1 "><p id="mrs_01_1931__af7f4cdedaaf443eda4b541ca7bb46d84">spark.eventLog.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.03%" headers="mcps1.3.17.3.2.4.1.2 "><p id="mrs_01_1931__a76ae99fe399a4e90a536412c9571e93b">Indicates whether to log Spark events, which are used to reconstruct the web UI after the application execution is complete.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.389999999999999%" headers="mcps1.3.17.3.2.4.1.3 "><p id="mrs_01_1931__a2add98ec7d40452ea8a0904a33a27dd1">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r0cef38ba903e4f648f345bf3a8abad42"><td class="cellrowborder" valign="top" width="22.58%" headers="mcps1.3.17.3.2.4.1.1 "><p id="mrs_01_1931__a8f79c631f16e46f4a74d707e83fcca27">spark.eventLog.dir</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.03%" headers="mcps1.3.17.3.2.4.1.2 "><p id="mrs_01_1931__aea6fe4ccbaac45d18eb4840f003ad704">Indicates the directory for logging Spark events if <strong id="mrs_01_1931__b171433103113116">spark.eventLog.enabled</strong> is set to <strong id="mrs_01_1931__b1055423225113116">true</strong>. In this directory, Spark creates a subdirectory for each application and logs events of the application in the subdirectory. You can also set a unified address similar to the HDFS directory so that the History Server can read historical files.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.389999999999999%" headers="mcps1.3.17.3.2.4.1.3 "><p id="mrs_01_1931__a23ca1d28e43a44c689a1aa2be48f8f3b">hdfs://hacluster/spark2xJobHistory2x</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rbc30415210954d059906328bcd9ab36e"><td class="cellrowborder" valign="top" width="22.58%" headers="mcps1.3.17.3.2.4.1.1 "><p id="mrs_01_1931__a283f7af868444262b5b008db8b315807">spark.eventLog.compress</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.03%" headers="mcps1.3.17.3.2.4.1.2 "><p id="mrs_01_1931__a88cec0d2961e41b081c2e098f70ba70d">Indicates whether to compress logged events when <strong id="mrs_01_1931__b290271883113116">spark.eventLog.enabled</strong> is set to <strong id="mrs_01_1931__b154081073113116">true</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.389999999999999%" headers="mcps1.3.17.3.2.4.1.3 "><p id="mrs_01_1931__af8f080bfe1914e259f5080bcd67c4077">false</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1931__s9fd5277d37d047d892370e1223565c07"><h4 class="sectiontitle">Periodic Clearing of Event Logs</h4><p id="mrs_01_1931__a67e3b8660a9b44488d13aa9017cc60f3">Event logs on JobHistory increases with submitted tasks. Too many event log files exist as the number of submitted tasks increases. Spark provides the function for periodically clearing event logs. You can enable this function and set the clearing interval using related parameters.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1931__td3ac854d53f445bc913ce0f80d71de80" frame="border" border="1" rules="all"><caption><b>Table 17 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1931__r9491923030ae4e15864190e97fe047af"><th align="left" class="cellrowborder" valign="top" width="32.24%" id="mcps1.3.18.3.2.4.1.1"><p id="mrs_01_1931__ad87dd8481d3f41d3ac4c4013e3991849"><strong id="mrs_01_1931__affa4cd57038c44959eb2b09b5a764e87">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="46.89%" id="mcps1.3.18.3.2.4.1.2"><p id="mrs_01_1931__a7b2081d4347f45afb4d56e64f2ef8908"><strong id="mrs_01_1931__ab414657e87bf44b980d71798beef695b">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20.87%" id="mcps1.3.18.3.2.4.1.3"><p id="mrs_01_1931__a1b0d9d4ec3c24e17b84e7398bad099aa"><strong id="mrs_01_1931__a2e3d930575ce435a8095a2df24516321">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1931__r0e3c6ec71df5486f99333a1b3ecb477a"><td class="cellrowborder" valign="top" width="32.24%" headers="mcps1.3.18.3.2.4.1.1 "><p id="mrs_01_1931__ab9b315ce88e64aee91ec455f54516b94">spark.history.fs.cleaner.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="46.89%" headers="mcps1.3.18.3.2.4.1.2 "><p id="mrs_01_1931__a06130cfbd3e44c85bcc00a51ecea8bb2">Indicates whether to enable the clearing function.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.87%" headers="mcps1.3.18.3.2.4.1.3 "><p id="mrs_01_1931__ae8a6f7f00ce540bca034b46051613025">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rf0e5d11c58e74cbb8c6a6e6c99b2de32"><td class="cellrowborder" valign="top" width="32.24%" headers="mcps1.3.18.3.2.4.1.1 "><p id="mrs_01_1931__a8b2c5948ca1f469b9355634d2e7ac467">spark.history.fs.cleaner.interval</p>
+</td>
+<td class="cellrowborder" valign="top" width="46.89%" headers="mcps1.3.18.3.2.4.1.2 "><p id="mrs_01_1931__aaa013c1f6a684c64bba5bcf44e164204">Indicates the check interval of the clearing function.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.87%" headers="mcps1.3.18.3.2.4.1.3 "><p id="mrs_01_1931__afce1f4f370d0462f89c8cc3542512d26">1d</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rd667db3aa39641e9925cdb5111c8aaf1"><td class="cellrowborder" valign="top" width="32.24%" headers="mcps1.3.18.3.2.4.1.1 "><p id="mrs_01_1931__a412807abd28b4b3f95f69227cb215e48">spark.history.fs.cleaner.maxAge</p>
+</td>
+<td class="cellrowborder" valign="top" width="46.89%" headers="mcps1.3.18.3.2.4.1.2 "><p id="mrs_01_1931__aa0ea24c7e32f45a4945827d6d3366c4d">Indicates the maximum duration for storing logs.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.87%" headers="mcps1.3.18.3.2.4.1.3 "><p id="mrs_01_1931__a1f368d29f8e84256a659f4215fef957d">4d</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1931__s517f4aec14934a77b5ffdc9e7c48c5ad"><h4 class="sectiontitle">Kryo</h4><p id="mrs_01_1931__ae452d9163eaa4a6da4a523286eb35c00">Kryo is a highly efficient Java serialization framework, which is integrated into Spark by default. Almost all Spark performance tuning requires the process of converting the default serializer of Spark into a Kryo serializer. Kryo serialization supports only serialization at the Spark data layer. To configure Kryo serialization, set <span class="parmname" id="mrs_01_1931__p8cc7c9cbf7c1421f80efa6f300cdf3aa"><b>spark.serializer</b></span> to <span class="parmvalue" id="mrs_01_1931__peb2ec9b25a5f43a68066b929d00187bf"><b>org.apache.spark.serializer.KryoSerializer</b></span> and configure the following parameters to optimize Kryo serialization performance:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1931__t07b41ac47c8f4fa9ac64858d3c25ab18" frame="border" border="1" rules="all"><caption><b>Table 18 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1931__r26937ffc183d4ea19be4c697390ed325"><th align="left" class="cellrowborder" valign="top" width="25.840000000000003%" id="mcps1.3.19.3.2.4.1.1"><p id="mrs_01_1931__a22059de339ea4a5cb90038eb442b7819"><strong id="mrs_01_1931__a696843dd7b3d42c3a50aa17bb0f97850">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="61.38%" id="mcps1.3.19.3.2.4.1.2"><p id="mrs_01_1931__a8e0bb4a9acef40cfa39cb0f8eea441fc"><strong id="mrs_01_1931__af28375b215ac4a45afb1e274565dda2f">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="12.78%" id="mcps1.3.19.3.2.4.1.3"><p id="mrs_01_1931__a60abbb3da8c347129db92de4ba27b001"><strong id="mrs_01_1931__a95afe8ec7f5448fa97eb827e66245366">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1931__r6334f90c6bf9484e9c6fd520e3213f90"><td class="cellrowborder" valign="top" width="25.840000000000003%" headers="mcps1.3.19.3.2.4.1.1 "><p id="mrs_01_1931__a57fe133f44db49bb8f285090c36ca79a">spark.kryo.classesToRegister</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.38%" headers="mcps1.3.19.3.2.4.1.2 "><p id="mrs_01_1931__a47d4fc70ee2b4dfea75bb789998874e2">Specifies the name of the class that needs to be registered with Kryo when Kryo serialization is used. Multiple classes are separated by commas (,).</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.78%" headers="mcps1.3.19.3.2.4.1.3 "><p id="mrs_01_1931__a39d65b9d5b394677b8b13653258f5314">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r9c430f83e28f40f9ba59f2449344c063"><td class="cellrowborder" valign="top" width="25.840000000000003%" headers="mcps1.3.19.3.2.4.1.1 "><p id="mrs_01_1931__a811bd935a9e6473096a73c6a4c08071e">spark.kryo.referenceTracking</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.38%" headers="mcps1.3.19.3.2.4.1.2 "><p id="mrs_01_1931__a42a76131b20840d490d953e53b99602b">Indicates whether to trace the references to the same object when Kryo is used to serialize data. This function is applicable to the scenario where the object graph has circular references or the same object has multiple copies. Otherwise, you can disable this function to improve performance.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.78%" headers="mcps1.3.19.3.2.4.1.3 "><p id="mrs_01_1931__a3a94efeb5a1d4b36aefa462e20c20b1d">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rb4db8208d4fc4beda2b392e573d4a2d3"><td class="cellrowborder" valign="top" width="25.840000000000003%" headers="mcps1.3.19.3.2.4.1.1 "><p id="mrs_01_1931__aebb9e497d650498490ab7488d926f0c5">spark.kryo.registrationRequired</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.38%" headers="mcps1.3.19.3.2.4.1.2 "><p id="mrs_01_1931__a2afe12a35e5648b093e8612d2385fa1e">Indicates whether Kryo is used to register an object. When this parameter is set to <strong id="mrs_01_1931__b1668391481113116">true</strong>, an exception is thrown if an object that is not registered with Kryo is serialized. When it is set to <strong id="mrs_01_1931__b806618278113116">false</strong> (default value), Kryo writes unregistered class names to the serialized object. This operation causes a large amount of performance overhead. Therefore, you need to enable this option before deleting a class from the registration queue.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.78%" headers="mcps1.3.19.3.2.4.1.3 "><p id="mrs_01_1931__a64ec9f1388ce44299f0ac93e83fb740e">false</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rea928997f68d48c9a9c2159561cdf42e"><td class="cellrowborder" valign="top" width="25.840000000000003%" headers="mcps1.3.19.3.2.4.1.1 "><p id="mrs_01_1931__a8c0a7e51ca8a4a12b6cea5c4e680844f">spark.kryo.registrator</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.38%" headers="mcps1.3.19.3.2.4.1.2 "><p id="mrs_01_1931__a77fc44e08e8441fcafe7859e91c1c054">If Kryo serialization is used, use Kryo to register the class with the custom class. Use this property if you need to register a class in a custom way, such as specifying a custom field serializer. Otherwise, use <strong id="mrs_01_1931__b162498793113116">spark.kryo.classesToRegister</strong>, which is simpler. Set this parameter to a class that extends KryoRegistrator.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.78%" headers="mcps1.3.19.3.2.4.1.3 "><p id="mrs_01_1931__ad309d3a048b94b54bcd33950505736c8">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rbdf439ad56754eb7bcbf6c90deee0a9b"><td class="cellrowborder" valign="top" width="25.840000000000003%" headers="mcps1.3.19.3.2.4.1.1 "><p id="mrs_01_1931__ae13cf800fbae4b27bbebe76e04476b04">spark.kryoserializer.buffer.max</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.38%" headers="mcps1.3.19.3.2.4.1.2 "><p id="mrs_01_1931__ae64b8f86d6a94c68ba58dbd81ed233a4">Specifies the maximum size of the Kryo serialization buffer, in MB. The value must be greater than the object that attempts to be serialized. If the error "buffer limit exceeded" occurs in Kryo, increase the value of this parameter. You can also set this parameter by setting <strong id="mrs_01_1931__b1454183365113116">spark.kryoserializer.buffer.max</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.78%" headers="mcps1.3.19.3.2.4.1.3 "><p id="mrs_01_1931__ae3d2afe19eb245dfa5d20b7c87b09baf">64MB</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r68d79626020d460fb2c46e35247ca329"><td class="cellrowborder" valign="top" width="25.840000000000003%" headers="mcps1.3.19.3.2.4.1.1 "><p id="mrs_01_1931__af4aa67d47b934b5e973b5a781acab453">spark.kryoserializer.buffer</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.38%" headers="mcps1.3.19.3.2.4.1.2 "><p id="mrs_01_1931__a9183baef28fb417987040a468e3793e4">Specifies the initial size of the Kryo serialization buffer, in MB. Each core of each worker has a buffer. If necessary, the buffer size will be increased to the value of <strong id="mrs_01_1931__b1653898643113116">spark.kryoserializer.buffer.max</strong>. You can also set this parameter by setting <strong id="mrs_01_1931__b426868810113116">spark.kryoserializer.buffer</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.78%" headers="mcps1.3.19.3.2.4.1.3 "><p id="mrs_01_1931__a64bc1f8380f74f21b28be9333ba433ad">64KB</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1931__se75354dd6fff406f9bb3719cb07f449e"><h4 class="sectiontitle">Broadcast</h4><p id="mrs_01_1931__ac685bddea05c45fb93ecf0fe4d8b5eb1">Broadcast is used to transmit data blocks between Spark processes. In Spark, broadcast can be used for JAR packages, files, closures, and returned results. Broadcast supports two modes: Torrent and HTTP. The Torrent mode divides data into small fragments and distributes them to clusters. Data can be obtained remotely if necessary. The HTTP mode saves files to the local disk and transfers the entire files to the remote end through HTTP if necessary. The former is more stable than the latter. Therefore, Torrent is the default broadcast mode.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1931__t3be35c616b46464fb63c6498738a5fde" frame="border" border="1" rules="all"><caption><b>Table 19 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1931__r60043feb906b422d8de1322d17ab426f"><th align="left" class="cellrowborder" valign="top" width="25.840000000000003%" id="mcps1.3.20.3.2.4.1.1"><p id="mrs_01_1931__a1bd3a7fd58e34d9ab41bbdbaf539d1e5"><strong id="mrs_01_1931__abf584b815cf14a138625ea541f9e75d2">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="53.49%" id="mcps1.3.20.3.2.4.1.2"><p id="mrs_01_1931__ae5117b005421457a96d649e30b3f0926"><strong id="mrs_01_1931__abdef0eaa2ba24aaf8a46eefe72809f6c">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20.669999999999998%" id="mcps1.3.20.3.2.4.1.3"><p id="mrs_01_1931__a494c4b397d2b4fc5b703b8a60f2ba977"><strong id="mrs_01_1931__a30dcd8ab8bf04fbd94258b4cef4a8e11">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1931__r44df10354d9b48dbb9bccec8a0fbd688"><td class="cellrowborder" valign="top" width="25.840000000000003%" headers="mcps1.3.20.3.2.4.1.1 "><p id="mrs_01_1931__a531fda02491c4636952b69532afd0c3c">spark.broadcast.factory</p>
+</td>
+<td class="cellrowborder" valign="top" width="53.49%" headers="mcps1.3.20.3.2.4.1.2 "><p id="mrs_01_1931__a548e0bd7df19455abd4d387f39f6cd47">Indicates the broadcast mode.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.669999999999998%" headers="mcps1.3.20.3.2.4.1.3 "><p id="mrs_01_1931__afdce512a0efc4a9081902cdcbcd2c9ad">org.apache.spark.broadcast.TorrentBroadcastFactory</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__ra0b3e1b2fb0d4c0aa5fe37deb4cf483b"><td class="cellrowborder" valign="top" width="25.840000000000003%" headers="mcps1.3.20.3.2.4.1.1 "><p id="mrs_01_1931__a1253860b076449fa80d877bf984975b8">spark.broadcast.blockSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="53.49%" headers="mcps1.3.20.3.2.4.1.2 "><p id="mrs_01_1931__ae0b08dd2549e42a39063869e0f9ad9c3">Indicates the block size of <strong id="mrs_01_1931__b350436373113116">TorrentBroadcastFactory</strong>. If the value is too large, the concurrency during broadcast is reduced (the speed is slow). If the value is too small, BlockManager performance may be affected.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.669999999999998%" headers="mcps1.3.20.3.2.4.1.3 "><p id="mrs_01_1931__a064e908aa5734f8f82bde7050c2e9fc2">4096</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r0cfe5b17bafd49be8bae426004d7f6ce"><td class="cellrowborder" valign="top" width="25.840000000000003%" headers="mcps1.3.20.3.2.4.1.1 "><p id="mrs_01_1931__a191303cea59748daaedd1899ae17e2a0">spark.broadcast.compress</p>
+</td>
+<td class="cellrowborder" valign="top" width="53.49%" headers="mcps1.3.20.3.2.4.1.2 "><p id="mrs_01_1931__abb5dae3105094354b7586336e4e7c7d9">Indicates whether to compress broadcast variables before sending them. You are advised to compress the broadcast variables.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20.669999999999998%" headers="mcps1.3.20.3.2.4.1.3 "><p id="mrs_01_1931__a57831d21aa4046be87bd4f3aa9be9919">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1931__scbd203c766a64dff8f37d31e0791904f"><h4 class="sectiontitle">Storage</h4><p id="mrs_01_1931__ab8bf9599cf8d4d0884845c54d33b8654">Spark features in-memory computing. Spark Storage is used to manage memory resources. Storage stores data blocks generated during RDD caching. The heap memory in the JVM acts as a whole. Therefore, <span class="parmname" id="mrs_01_1931__p6f12e106abe54cc09cd4620167a25041"><b>Storage Memory Size</b></span> is an important concept during Spark Storage management.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1931__t2fcf863cccd34a598277eccb915aa47c" frame="border" border="1" rules="all"><caption><b>Table 20 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1931__rb9ef5c9d6d47494c9f4a0a3a11e8bb5e"><th align="left" class="cellrowborder" valign="top" width="25.840000000000003%" id="mcps1.3.21.3.2.4.1.1"><p id="mrs_01_1931__ab0e9a7a697514b27bd73fb308bc8f78d"><strong id="mrs_01_1931__a7e77cfd3cbc040d1a7d261a84230ad49">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="61.760000000000005%" id="mcps1.3.21.3.2.4.1.2"><p id="mrs_01_1931__a061484e901184d3e976761758bc2d553"><strong id="mrs_01_1931__afb5e761b13a741cb8c84c70816d40a96">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="12.4%" id="mcps1.3.21.3.2.4.1.3"><p id="mrs_01_1931__ac5e0535feb494f8999d9d8691b9072ef"><strong id="mrs_01_1931__a3f7b1d3ab9624b2399655a4fd6ef30d2">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1931__rf67faf6f491149cd924fc9958377c150"><td class="cellrowborder" valign="top" width="25.840000000000003%" headers="mcps1.3.21.3.2.4.1.1 "><p id="mrs_01_1931__a28d6a42c457740739312f6f42d6d04bc">spark.storage.memoryMapThreshold</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.760000000000005%" headers="mcps1.3.21.3.2.4.1.2 "><p id="mrs_01_1931__a652bc021cf4d4b90ae2f4431fcd2faf9">Specifies the block size. If the size of a block exceeds the value of this parameter, Spark performs memory mapping for the disk file. This prevents Spark from mapping too small blocks during memory mapping. Generally, memory mapping for blocks whose page size is close to or less than that of the operating system has high overhead.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.4%" headers="mcps1.3.21.3.2.4.1.3 "><p id="mrs_01_1931__aac9c897035044e07bc02954a26187aae">2m</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1931__sadd8b128c7da4477bbe3b42434447ef0"><h4 class="sectiontitle">PORT</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1931__tf774bf59a9384ed0876e408ae446ebeb" frame="border" border="1" rules="all"><caption><b>Table 21 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1931__r5e1532192fdd4fa1a0d9700d1b63b8b9"><th align="left" class="cellrowborder" valign="top" width="25.840000000000003%" id="mcps1.3.22.2.2.4.1.1"><p id="mrs_01_1931__ac429e2a7d26644428bb61bfcc0bae148"><strong id="mrs_01_1931__a939311e32c744cf983fdefe64745f210">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="61.760000000000005%" id="mcps1.3.22.2.2.4.1.2"><p id="mrs_01_1931__a3da9e36be8244da889a8f75f68acb57d"><strong id="mrs_01_1931__a4fb12a5635e34661bbd932f7458933df">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="12.4%" id="mcps1.3.22.2.2.4.1.3"><p id="mrs_01_1931__aa23f6f0177b84bf7a51dcbcf7989f9ac"><strong id="mrs_01_1931__abef84c22267444a0a55ac5fc032eb4cc">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1931__r3577963041a84b67919ae27479f44fd1"><td class="cellrowborder" valign="top" width="25.840000000000003%" headers="mcps1.3.22.2.2.4.1.1 "><p id="mrs_01_1931__ad2d57ab568b443bf9a20ed3dc3561666">spark.ui.port</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.760000000000005%" headers="mcps1.3.22.2.2.4.1.2 "><p id="mrs_01_1931__a0528cdb8d07b46b6bb66e01f18a969a8">Specifies the port for your application's dashboard, which displays memory and workload data.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.4%" headers="mcps1.3.22.2.2.4.1.3 "><p id="mrs_01_1931__a493fc7c69ce541adb8285ada7da5aa88"></p>
+<ul id="mrs_01_1931__u8c890d9f33dd4175b8045210d12d395f"><li id="mrs_01_1931__lf1ef7039e18241e5806794379976bcb5">JDBCServer2x: <strong id="mrs_01_1931__b182196178012">4040</strong></li><li id="mrs_01_1931__lc93cf8b7343541749286a26e80da78e0">SparkResource2x: 0</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_1931__r6d989b7c1d24400d97cd84b59b9c3fb2"><td class="cellrowborder" valign="top" width="25.840000000000003%" headers="mcps1.3.22.2.2.4.1.1 "><p id="mrs_01_1931__a0b5f9b0bc228460981ec1d06bf34518a">spark.blockManager.port</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.760000000000005%" headers="mcps1.3.22.2.2.4.1.2 "><p id="mrs_01_1931__a25f54591218746cc8d53f28af31cad15">Specifies all ports listened by BlockManager. These ports are on both the driver and executor.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.4%" headers="mcps1.3.22.2.2.4.1.3 "><p id="mrs_01_1931__ae52ebc4d2e9b431b9c1b2b275d92a0ff"><a href="#mrs_01_1931__s8305221320854535b9528b54f2edfc32">Range of Random Ports</a></p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r27abc0e380ee414cb663684b6e8c2718"><td class="cellrowborder" valign="top" width="25.840000000000003%" headers="mcps1.3.22.2.2.4.1.1 "><p id="mrs_01_1931__a76d3064a62c9476fb58aeeb9b73e84d3">spark.driver.port</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.760000000000005%" headers="mcps1.3.22.2.2.4.1.2 "><p id="mrs_01_1931__af62677c91ac148f9973acd8306bb29d4">Specifies the port for the driver to listen on, which is used for the driver to communicate with the executor.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.4%" headers="mcps1.3.22.2.2.4.1.3 "><p id="mrs_01_1931__a7b6aba6ce73d4170b8117f9fc3d2de2b"><a href="#mrs_01_1931__s8305221320854535b9528b54f2edfc32">Range of Random Ports</a></p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1931__s8305221320854535b9528b54f2edfc32"><a name="mrs_01_1931__s8305221320854535b9528b54f2edfc32"></a><a name="s8305221320854535b9528b54f2edfc32"></a><h4 class="sectiontitle">Range of Random Ports</h4><p id="mrs_01_1931__aa7d2f805bc8145a49a9e3d714dc80e61">All random ports must be within a certain range.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1931__t0985de5c847e4371bfc384dff16a9263" frame="border" border="1" rules="all"><caption><b>Table 22 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1931__rb377270b5a304ff1bd3443d9ad41887d"><th align="left" class="cellrowborder" valign="top" width="32.05%" id="mcps1.3.23.3.2.4.1.1"><p id="mrs_01_1931__a70c7d3652a9943259b875f0248764169"><strong id="mrs_01_1931__af4718e953ceb438e8e16d19da95e118e">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="53.290000000000006%" id="mcps1.3.23.3.2.4.1.2"><p id="mrs_01_1931__ac177535a5a40411ab9d3a8497cb8aa4b"><strong id="mrs_01_1931__a5e68835c72414687819fcbe962098b25">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="14.66%" id="mcps1.3.23.3.2.4.1.3"><p id="mrs_01_1931__a9618029aa3004e4cacbf2824f10e257b"><strong id="mrs_01_1931__abd26c7edd1024a3e8de7673a1c7830d5">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1931__re9e6e5e82a0b4564a1c968f23ba151ba"><td class="cellrowborder" valign="top" width="32.05%" headers="mcps1.3.23.3.2.4.1.1 "><p id="mrs_01_1931__a2f4b16f7d9a342569828e5f5ed03e5a8">spark.random.port.min</p>
+</td>
+<td class="cellrowborder" valign="top" width="53.290000000000006%" headers="mcps1.3.23.3.2.4.1.2 "><p id="mrs_01_1931__a3be975302fe2466586dec683ad0317ec">Sets the minimum random port.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.66%" headers="mcps1.3.23.3.2.4.1.3 "><p id="mrs_01_1931__ae49fb3a95c66469aa77fa26d353cddc7">22600</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__ra4a27dc812ab4ef8b40074cf13d2183c"><td class="cellrowborder" valign="top" width="32.05%" headers="mcps1.3.23.3.2.4.1.1 "><p id="mrs_01_1931__a259dda9cfa0549fca9b48d5b81b4e378">spark.random.port.max</p>
+</td>
+<td class="cellrowborder" valign="top" width="53.290000000000006%" headers="mcps1.3.23.3.2.4.1.2 "><p id="mrs_01_1931__ac6b51ea625e54ed482c2bfb6bda1d889">Sets the maximum random port.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.66%" headers="mcps1.3.23.3.2.4.1.3 "><p id="mrs_01_1931__a3e321e1563da499d94356a59bf4deb4b">22899</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1931__sf70e60936b3a4f08b9b3b9d6d7da352f"><h4 class="sectiontitle">TIMEOUT</h4><p id="mrs_01_1931__a0d65f38706bd4842b3b5e391cc1c37ea">By default, computation tasks that can well process medium-scale data are configured in Spark. However, if the data volume is too large, the tasks may fail due to timeout. In the scenario with a large amount of data, the timeout parameter in Spark needs to be assigned a larger value.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1931__t3eaaee5cd4bf4a8fbfe2079d07c3f791" frame="border" border="1" rules="all"><caption><b>Table 23 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1931__r70db388e917148459c6ae131e52ffc56"><th align="left" class="cellrowborder" valign="top" width="25.840000000000003%" id="mcps1.3.24.3.2.4.1.1"><p id="mrs_01_1931__a1ef49f4c3b834435bcf9521fb75f2e12"><strong id="mrs_01_1931__a43f9c7b8e21a420e91cef31abfb32a82">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="61.760000000000005%" id="mcps1.3.24.3.2.4.1.2"><p id="mrs_01_1931__a74cedc7198164750a241982f066879c2"><strong id="mrs_01_1931__a4e868e0af7ca42b0896e8f578e1468fb">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="12.4%" id="mcps1.3.24.3.2.4.1.3"><p id="mrs_01_1931__ae9dfb58b1c384ddf95030f8df2ff38cc"><strong id="mrs_01_1931__aacde62c5ef8242acb5af252eb2c0638c">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1931__r7321199d2aae4dd9b702095387765de8"><td class="cellrowborder" valign="top" width="25.840000000000003%" headers="mcps1.3.24.3.2.4.1.1 "><p id="mrs_01_1931__a44d30d398f6442748a60581095e156f0">spark.files.fetchTimeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.760000000000005%" headers="mcps1.3.24.3.2.4.1.2 "><p id="mrs_01_1931__a3450bec4699c4392a85f248986221c90">Specifies the communication timeout (in seconds) when fetching files added using <strong id="mrs_01_1931__b208422670113116">SparkContext.addFile()</strong> of the driver.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.4%" headers="mcps1.3.24.3.2.4.1.3 "><p id="mrs_01_1931__a3121a0189e6f43baaaec0c537b52be73">60s</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r44a6f03e311944f087002a804c35c072"><td class="cellrowborder" valign="top" width="25.840000000000003%" headers="mcps1.3.24.3.2.4.1.1 "><p id="mrs_01_1931__a8f48b137a1a84a50a58e7716bf1abe17">spark.network.timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.760000000000005%" headers="mcps1.3.24.3.2.4.1.2 "><p id="mrs_01_1931__ade7cdcec6d374c29b05ab86c5d88d3bc">Specifies the default timeout for all network interactions, in seconds. You can use this parameter to replace <strong id="mrs_01_1931__b1788234412113116">spark.core.connection.ack.wait.timeout</strong>, <strong id="mrs_01_1931__b944773840113116">spark.akka.timeout</strong>, <strong id="mrs_01_1931__b1957561750113116">spark.storage.blockManagerSlaveTimeoutMs</strong>, or <strong id="mrs_01_1931__b264790427113116">spark.shuffle.io.connectionTimeout</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.4%" headers="mcps1.3.24.3.2.4.1.3 "><p id="mrs_01_1931__ad02bfac90f8c4e988ea2aeb838b1071e">360s</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__re5ea316c7696487599f933d31e64a61a"><td class="cellrowborder" valign="top" width="25.840000000000003%" headers="mcps1.3.24.3.2.4.1.1 "><p id="mrs_01_1931__a9badce4df0344583a50c020410a26156">spark.core.connection.ack.wait.timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.760000000000005%" headers="mcps1.3.24.3.2.4.1.2 "><p id="mrs_01_1931__a5cd4c1cfcacd4c64a75f051bdce17dc0">Specifies the timeout for a connection to wait for a response, in seconds. To avoid long-time waiting caused by GC, you can set this parameter to a larger value.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.4%" headers="mcps1.3.24.3.2.4.1.3 "><p id="mrs_01_1931__a947e6f5093424f2f91b7ade7de89beaf">60</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1931__s876c84758f3b43f39bbc1b481a6fd76a"><h4 class="sectiontitle">Encryption</h4><p id="mrs_01_1931__a3821811d7df04af887aa52cea56f135f">Spark supports SSL for Akka and HTTP (for the broadcast and file server) protocols, but does not support SSL for the web UI and block transfer service.</p>
+<p id="mrs_01_1931__af5f9dd9c892c4768b94bd0efe6c0c4df">SSL must be configured on each node and configured for each component involved in communication using a particular protocol.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1931__tea3def85e96d455c8153edb0c38c5f90" frame="border" border="1" rules="all"><caption><b>Table 24 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1931__r9fd962a2c98a4c5194c4f7d7c281c960"><th align="left" class="cellrowborder" valign="top" width="19.82%" id="mcps1.3.25.4.2.4.1.1"><p id="mrs_01_1931__a8633b1d79e074d1bba1b0b37a863ddb2"><strong id="mrs_01_1931__a409b26f848ea45d998dadd9bcc0ef3f6">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="67.78%" id="mcps1.3.25.4.2.4.1.2"><p id="mrs_01_1931__a19f15a12c5444e7db14f2eb7c6820a36"><strong id="mrs_01_1931__aac6d3249e8574da480c407321029b400">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="12.400000000000002%" id="mcps1.3.25.4.2.4.1.3"><p id="mrs_01_1931__a1ac0797cefe547bcaec945a8e37526fb"><strong id="mrs_01_1931__a224429d3fdb4486ea2c56f6344de9b45">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1931__r9a8cab50c05149cc9166133dac03d9c9"><td class="cellrowborder" valign="top" width="19.82%" headers="mcps1.3.25.4.2.4.1.1 "><p id="mrs_01_1931__a93a00f22eb2048d5a2e3b0d1b82ae6ab">spark.ssl.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="67.78%" headers="mcps1.3.25.4.2.4.1.2 "><p id="mrs_01_1931__a51665b08bc0c436699f33a275469d21f">Indicates whether to enable SSL connections for all supported protocols.</p>
+<p id="mrs_01_1931__a108d6044597f487495ecc1beb0094458">All SSL settings similar to <strong id="mrs_01_1931__b418933004113116">spark.ssl.</strong><em id="mrs_01_1931__i754290832113116">xxx</em> indicate the global configuration of all supported protocols. To override the global configuration of a particular protocol, you must override the property in the namespace specified by the protocol.</p>
+<p id="mrs_01_1931__a9aa71bdc609c462e8caf80f93dd53030">Use <span class="parmname" id="mrs_01_1931__pd08d3bd5948242648c941e417791efc1"><b>spark.ssl.YYY.XXX</b></span> to overwrite the global configuration of the particular protocol specified by <strong id="mrs_01_1931__b1539756425113116">YYY</strong>. <strong id="mrs_01_1931__b83725049113116">YYY</strong> can be either <strong id="mrs_01_1931__b824689128113116">akka</strong> for Akka-based connections or <strong id="mrs_01_1931__b172051947113116">fs</strong> for the broadcast and file server.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.400000000000002%" headers="mcps1.3.25.4.2.4.1.3 "><p id="mrs_01_1931__abc999e5708724c7888f65a26ac40cd2d">false</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r6a87774d04f04e3980af6fc3993150c1"><td class="cellrowborder" valign="top" width="19.82%" headers="mcps1.3.25.4.2.4.1.1 "><p id="mrs_01_1931__a05b62a34a672441db6b98f82f4f4ff72">spark.ssl.enabledAlgorithms</p>
+</td>
+<td class="cellrowborder" valign="top" width="67.78%" headers="mcps1.3.25.4.2.4.1.2 "><p id="mrs_01_1931__a09028fd9b4e5433e9b7580d88d598360">Indicates the comma-separated list of passwords. The specified passwords must be supported by the JVM.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.400000000000002%" headers="mcps1.3.25.4.2.4.1.3 "><p id="mrs_01_1931__a5d6a578ceb8e4fd9bae29ee38651be34">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rb0fdd064b88e4fc2aefe5c5477fbdd93"><td class="cellrowborder" valign="top" width="19.82%" headers="mcps1.3.25.4.2.4.1.1 "><p id="mrs_01_1931__ae946db9388134e79ad777066112e732e">spark.ssl.keyPassword</p>
+</td>
+<td class="cellrowborder" valign="top" width="67.78%" headers="mcps1.3.25.4.2.4.1.2 "><p id="mrs_01_1931__a8ba7690816304623832ed0bd2186c30c">Specifies the password of a private key in the keystore.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.400000000000002%" headers="mcps1.3.25.4.2.4.1.3 "><p id="mrs_01_1931__a204c4abb80114880b1056c72f38ffea7">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rf1d2197950fc434c830d246333c1ff9c"><td class="cellrowborder" valign="top" width="19.82%" headers="mcps1.3.25.4.2.4.1.1 "><p id="mrs_01_1931__a926d910f74da44d6995552d30da35679">spark.ssl.keyStore</p>
+</td>
+<td class="cellrowborder" valign="top" width="67.78%" headers="mcps1.3.25.4.2.4.1.2 "><p id="mrs_01_1931__a2a4de0251e67423b98a7d8dbbb1be404">Specifies the path of the keystore file. The path can be absolute or relative to the directory where the component is started.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.400000000000002%" headers="mcps1.3.25.4.2.4.1.3 "><p id="mrs_01_1931__ac1ecc3703004409788832a7c3528abad">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__ra8cab889b3f1494c99dda87d63063bb3"><td class="cellrowborder" valign="top" width="19.82%" headers="mcps1.3.25.4.2.4.1.1 "><p id="mrs_01_1931__aa92fa46b39a748039d46cab948848d17">spark.ssl.keyStorePassword</p>
+</td>
+<td class="cellrowborder" valign="top" width="67.78%" headers="mcps1.3.25.4.2.4.1.2 "><p id="mrs_01_1931__a8f1e012f445e40318469fc7be96f2a0a">Specifies the password of the keystore.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.400000000000002%" headers="mcps1.3.25.4.2.4.1.3 "><p id="mrs_01_1931__a6da787a243034c778aa2f7df51639903">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r09cfee75852240febd3697f55863bdd9"><td class="cellrowborder" valign="top" width="19.82%" headers="mcps1.3.25.4.2.4.1.1 "><p id="mrs_01_1931__a713563f41ca0409f9b25da9166f24cb8">spark.ssl.protocol</p>
+</td>
+<td class="cellrowborder" valign="top" width="67.78%" headers="mcps1.3.25.4.2.4.1.2 "><p id="mrs_01_1931__a8aca7dc81cc74ce09260c76b41b40c71">Specifies the protocol name. This protocol must be supported by the JVM. The reference list of protocols is available on this page.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.400000000000002%" headers="mcps1.3.25.4.2.4.1.3 "><p id="mrs_01_1931__a736b7de85bc6462c861002903acbfee4">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r8d08dae678b9446ea7532e52554ea9dc"><td class="cellrowborder" valign="top" width="19.82%" headers="mcps1.3.25.4.2.4.1.1 "><p id="mrs_01_1931__a1d3b49cbb4ab4124b49420c03543ccdc">spark.ssl.trustStore</p>
+</td>
+<td class="cellrowborder" valign="top" width="67.78%" headers="mcps1.3.25.4.2.4.1.2 "><p id="mrs_01_1931__a0081ebb79ffd45d8a3a1c04aa7c5abb9">Specifies the path of the truststore file. The path can be absolute or relative to the directory where the component is started.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.400000000000002%" headers="mcps1.3.25.4.2.4.1.3 "><p id="mrs_01_1931__a362f43b7db89481093cab43450d3290f">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rca15cfa26b20457faecdbf6b7a1f0180"><td class="cellrowborder" valign="top" width="19.82%" headers="mcps1.3.25.4.2.4.1.1 "><p id="mrs_01_1931__ad80c025c94e84314a6e21f857dc09c47">spark.ssl.trustStorePassword</p>
+</td>
+<td class="cellrowborder" valign="top" width="67.78%" headers="mcps1.3.25.4.2.4.1.2 "><p id="mrs_01_1931__a804e80cf5095486a952834c63fb23759">Specifies the password of the truststore.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.400000000000002%" headers="mcps1.3.25.4.2.4.1.3 "><p id="mrs_01_1931__a6113b64f182d4d66806caebb02560bda">-</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1931__s140b486b9b3c4a9ab734686f9769a0ec"><h4 class="sectiontitle">Security</h4><p id="mrs_01_1931__ade6633cc3084458d850196468820e5b0">Spark supports shared key-based authentication. You can use <strong id="mrs_01_1931__b850360982113116">spark.authenticate</strong> to configure authentication. This parameter controls whether the Spark communication protocol uses the shared key for authentication. This authentication is a basic handshake that ensures that both sides have the same shared key and are allowed to communicate. If the shared keys are different, the communication is not allowed. You can create shared keys as follows:</p>
+<ul id="mrs_01_1931__u43629b4fb96140e6a9913d59cf13d92d"><li id="mrs_01_1931__l68906cc2880e4d9e81f383c089e89831">For Spark on Yarn deployments, set <strong id="mrs_01_1931__b75676946113116">spark.authenticate</strong> to <strong id="mrs_01_1931__b634425057113116">true</strong>. Then, shared keys are automatically generated and distributed. Each application exclusively occupies a shared key.</li><li id="mrs_01_1931__l52cf46ba36c444828f36d161fe348f2c">For other types of Spark deployments, configure Spark parameter <strong id="mrs_01_1931__b87181652113116">spark.authenticate.secret</strong> on each node. All masters, workers, and applications use this key.</li></ul>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1931__t895bbdff479a46d198d04532f42ea815" frame="border" border="1" rules="all"><caption><b>Table 25 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1931__ra0be08314ed847b3b584aee3c05fcb2d"><th align="left" class="cellrowborder" valign="top" width="22.46%" id="mcps1.3.26.4.2.4.1.1"><p id="mrs_01_1931__a816b5e7bdbff4f10910847c37c90146a"><strong id="mrs_01_1931__aa523e0567a754e2fb3cfb23999bbd2f6">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="65.14%" id="mcps1.3.26.4.2.4.1.2"><p id="mrs_01_1931__a190cc82d6fe547c2a37489c5c534fefb"><strong id="mrs_01_1931__a8924e8ada5b14dc49516a54c9c510082">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="12.4%" id="mcps1.3.26.4.2.4.1.3"><p id="mrs_01_1931__a6118daf67c8a4018b95223f018891fcb"><strong id="mrs_01_1931__a5906a7ac75224d6d8ea946036ab87d77">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1931__rdeddd3056ff94d1e892873aa448611a8"><td class="cellrowborder" valign="top" width="22.46%" headers="mcps1.3.26.4.2.4.1.1 "><p id="mrs_01_1931__a1f30e0e618e047f2853528d48a95b017">spark.acls.enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.14%" headers="mcps1.3.26.4.2.4.1.2 "><p id="mrs_01_1931__a04795a44ce874eebb9b9d37aad632c74">Indicates whether to enable Spark ACLs. If Spark ACLs are enabled, the system checks whether the user has the permission to access and modify jobs. Note that this requires the user to be identifiable. If the user is identified as invalid, the check will not be performed. Filters can be used to verify and set users on the UI.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.4%" headers="mcps1.3.26.4.2.4.1.3 "><p id="mrs_01_1931__ace2948e264b54d0bafd578d6b85d238b">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r316d510357fe493eae2230bda53ef504"><td class="cellrowborder" valign="top" width="22.46%" headers="mcps1.3.26.4.2.4.1.1 "><p id="mrs_01_1931__a0b8cd984d0084bf29363c3e33d98946c">spark.admin.acls</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.14%" headers="mcps1.3.26.4.2.4.1.2 "><p id="mrs_01_1931__adc2c180c617c4b7c8560ba10ec425303">Specifies the comma-separated list of users/<span id="mrs_01_1931__ph31760224359">spark </span>administrators that have the permissions to view and modify all Spark jobs. This list can be used if you are running on a shared cluster and working with the help of an <span id="mrs_01_1931__ph03931929183517">spark </span>administrator or developer.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.4%" headers="mcps1.3.26.4.2.4.1.3 "><p id="mrs_01_1931__a2ca6aab5a883407e8c443dc33c2e4bba">admin</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rd60a3200ed49416d890a0e592b22b987"><td class="cellrowborder" valign="top" width="22.46%" headers="mcps1.3.26.4.2.4.1.1 "><p id="mrs_01_1931__aeda4565f047b4ae0a74c45204830c6c2">spark.authenticate</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.14%" headers="mcps1.3.26.4.2.4.1.2 "><p id="mrs_01_1931__a691d14e33f324482a032c5fb03ca6c73">Indicates whether Spark authenticates its internal connections. If the application is not running on Yarn, see <strong id="mrs_01_1931__b944688427113116">spark.authenticate.secret</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.4%" headers="mcps1.3.26.4.2.4.1.3 "><p id="mrs_01_1931__ac9d51fc8fee2484a91f7cc26df7aa4e5">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rad7909974d8b4f32854a1c6d4fcd8ffd"><td class="cellrowborder" valign="top" width="22.46%" headers="mcps1.3.26.4.2.4.1.1 "><p id="mrs_01_1931__a280a464aaf94479c8b38b59cb037a813">spark.authenticate.secret</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.14%" headers="mcps1.3.26.4.2.4.1.2 "><p id="mrs_01_1931__a94570d17fbe945dda8b26ef3bce8a20a">Sets the key for authentication between Spark components. This parameter must be set if Spark does not run on Yarn and authentication is disabled.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.4%" headers="mcps1.3.26.4.2.4.1.3 "><p id="mrs_01_1931__aa7cbe0bd32ab49608438e01d89a32b72">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r5a1f661b5c09446a870f04afb7996b38"><td class="cellrowborder" valign="top" width="22.46%" headers="mcps1.3.26.4.2.4.1.1 "><p id="mrs_01_1931__a9e4205a4991a4845be73d4e890b8936d">spark.modify.acls</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.14%" headers="mcps1.3.26.4.2.4.1.2 "><p id="mrs_01_1931__a747d926d31d34b6ea1dde87dee7a35bf">Specifies the comma-separated list of users who have the permission to modify Spark jobs. By default, only users who have enabled Spark jobs have the permission to modify the list (for example, delete the list).</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.4%" headers="mcps1.3.26.4.2.4.1.3 "><p id="mrs_01_1931__a51b8219554754a19b8a7e31c6f26571a">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__ra4e6159967214c289494aef02e5e61ea"><td class="cellrowborder" valign="top" width="22.46%" headers="mcps1.3.26.4.2.4.1.1 "><p id="mrs_01_1931__aeda64388a0484530886bf3470cea3c20">spark.ui.view.acls</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.14%" headers="mcps1.3.26.4.2.4.1.2 "><p id="mrs_01_1931__a71ffb82e3f1846aebb2231f2e955091d">Specifies the comma-separated list of users who have the permission to access the Spark web UI. By default, only users who have enabled Spark jobs have the access permission.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.4%" headers="mcps1.3.26.4.2.4.1.3 "><p id="mrs_01_1931__a4f0978871754435b842aeb86d0d6813b">-</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1931__s6284d8c3efa049488db07870e057ff7b"><h4 class="sectiontitle">Enabling the Authentication Mechanism Between Spark Processes</h4><p id="mrs_01_1931__a8001436038ff43658eaf1b83d34b6f41">Spark processes support shared key-based authentication. You can configure <strong id="mrs_01_1931__b981330369113116">spark.authenticate</strong> to control whether Spark performs authentication during communication. In this authentication mode, the two communication parties share the same key only using simple handshakes.</p>
+<p id="mrs_01_1931__p0369201318574">Configure the following parameters in the <span class="filepath" id="mrs_01_1931__filepath220292233119"><b>spark-defaults.conf</b></span> file on the Spark client.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1931__tae615170a0b7462c8cc258aa7fb6a2dc" frame="border" border="1" rules="all"><caption><b>Table 26 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1931__r2e2a94cbf8b744698b056ab6b4a81866"><th align="left" class="cellrowborder" valign="top" width="23.78%" id="mcps1.3.27.4.2.4.1.1"><p id="mrs_01_1931__ae972f853216340ed96f03f277b37887c"><strong id="mrs_01_1931__a3df564073991484ba6bd277fd201adf2">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="63.629999999999995%" id="mcps1.3.27.4.2.4.1.2"><p id="mrs_01_1931__a5878406fbc0441248938e2897e919819"><strong id="mrs_01_1931__a074bac9940be4b1a80da79933fe9fd44">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="12.590000000000002%" id="mcps1.3.27.4.2.4.1.3"><p id="mrs_01_1931__ab6001eb3d6324fd893084eeca0a89110"><strong id="mrs_01_1931__aec19d1577f2145be99b0f0f764042d1a">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1931__r9804d03863204c05830c4b5acbc9d9be"><td class="cellrowborder" valign="top" width="23.78%" headers="mcps1.3.27.4.2.4.1.1 "><p id="mrs_01_1931__adad9bb0e1b204d18ba57963e78dfdb01">spark.authenticate</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.629999999999995%" headers="mcps1.3.27.4.2.4.1.2 "><p id="mrs_01_1931__a3d56893c48094f5daf2b0f42c1d4d264">For Spark on Yarn deployments, set this parameter to <strong id="mrs_01_1931__b938024084113116">true</strong>. Then, keys are automatically generated and distributed, and each application uses a unique key.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.590000000000002%" headers="mcps1.3.27.4.2.4.1.3 "><p id="mrs_01_1931__a2ce15216dd9b4b68a7385776c88b35fc">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1931__s039b73942fdf48d784d903152d5c7f0b"><h4 class="sectiontitle">Compression</h4><p id="mrs_01_1931__a50df113df690403d8a604dfc2338e02f">Data compression is policy that optimizes memory usage at the expense of CPU. Therefore, when the Spark memory is severely insufficient (this issue is common due to the characteristics of in-memory computing), data compression can greatly improve performance. Spark supports three types of compression algorithm: Snappy, LZ4, and LZF. Snappy is the default compression algorithm and invokes the native method to compress and decompress data. In Yarn mode, pay attention to the impact of non-heap memory on the container process.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1931__tb1170c2915ed4988a7b5a3be5c669002" frame="border" border="1" rules="all"><caption><b>Table 27 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1931__r51aef49d77094906a4aaeb094d4aca2e"><th align="left" class="cellrowborder" valign="top" width="25.840000000000003%" id="mcps1.3.28.3.2.4.1.1"><p id="mrs_01_1931__aaa432cc73ebd49b48cde4b8ce77dc697"><strong id="mrs_01_1931__a17516c24550c4440b95516f2132f8e5b">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="61.760000000000005%" id="mcps1.3.28.3.2.4.1.2"><p id="mrs_01_1931__a01057f498e5e43d793c86724a8a65534"><strong id="mrs_01_1931__ab7acc9d529004d459370a2ecba1af6d5">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="12.4%" id="mcps1.3.28.3.2.4.1.3"><p id="mrs_01_1931__aca847be0a5b4422c80dfa0aabddd4229"><strong id="mrs_01_1931__a8cef30c872df47e69c0f30ee5b0287d9">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1931__r739d697cb68c46a3bb1743094f2d941f"><td class="cellrowborder" valign="top" width="25.840000000000003%" headers="mcps1.3.28.3.2.4.1.1 "><p id="mrs_01_1931__ac8470463da2d4b6da9b9102bf63cbe78">spark.io.compression.codec</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.760000000000005%" headers="mcps1.3.28.3.2.4.1.2 "><p id="mrs_01_1931__a6f9a78704f994d1bad83f9a28237b512">Indicates the codec for compressing internal data, such as RDD partitions, broadcast variables, and shuffle output. By default, Spark supports three types of compression algorithm: LZ4, LZF, and Snappy. You can specify algorithms using fully qualified class names, such as <strong id="mrs_01_1931__b1835319289113116">org.apache.spark.io.LZ4CompressionCodec</strong>, <strong id="mrs_01_1931__b2143381190113116">org.apache.spark.io.LZFCompressionCodec</strong>, and <strong id="mrs_01_1931__b1502383458113116">org.apache.spark.io.SnappyCompressionCodec</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.4%" headers="mcps1.3.28.3.2.4.1.3 "><p id="mrs_01_1931__aef4a4c9a120b4e7a8adaef93addb0ac0">lz4</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rb97602acbff3405c998bede8557dbf69"><td class="cellrowborder" valign="top" width="25.840000000000003%" headers="mcps1.3.28.3.2.4.1.1 "><p id="mrs_01_1931__a48f70748f5724a54b7d382cdd0a491df">spark.io.compression.lz4.block.size</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.760000000000005%" headers="mcps1.3.28.3.2.4.1.2 "><p id="mrs_01_1931__a57543f9f78d5465cb1247af6127c8263">Indicates the block size (bytes) used in LZ4 compression when the LZ4 compression algorithm is used. When LZ4 is used, reducing the block size also reduces the shuffle memory usage.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.4%" headers="mcps1.3.28.3.2.4.1.3 "><p id="mrs_01_1931__af62c325047f34ca08338e7eda11b17b8">32768</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__re492a58f44814d45984743fc64a01886"><td class="cellrowborder" valign="top" width="25.840000000000003%" headers="mcps1.3.28.3.2.4.1.1 "><p id="mrs_01_1931__a37aeef1bc3224ed6a802177936642293">spark.io.compression.snappy.block.size</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.760000000000005%" headers="mcps1.3.28.3.2.4.1.2 "><p id="mrs_01_1931__afaf7cdc0dcf64c81b7824e182dc26aa7">Indicates the block size (bytes) used in Snappy compression when the Snappy compression algorithm is used. When Snappy is used, reducing the block size also reduces the shuffle memory usage.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.4%" headers="mcps1.3.28.3.2.4.1.3 "><p id="mrs_01_1931__ac537b379cbef4b109d8ebb66369894c5">32768</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rcb3ee987fe484c8380028a91817c1323"><td class="cellrowborder" valign="top" width="25.840000000000003%" headers="mcps1.3.28.3.2.4.1.1 "><p id="mrs_01_1931__ad9fe09490efa4f3da367b651724b870c">spark.shuffle.compress</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.760000000000005%" headers="mcps1.3.28.3.2.4.1.2 "><p id="mrs_01_1931__ae9f4a507501049a68abad94e348f61a5">Indicates whether to compress the output files of a Map task. You are advised to compress the broadcast variables. using <strong id="mrs_01_1931__b2041101007113116">spark.io.compression.codec</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.4%" headers="mcps1.3.28.3.2.4.1.3 "><p id="mrs_01_1931__a9598cd0ec8e04dbc85d28ef577769436">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r6510d2b1f5f8481ab8e78394527bafdf"><td class="cellrowborder" valign="top" width="25.840000000000003%" headers="mcps1.3.28.3.2.4.1.1 "><p id="mrs_01_1931__a9811fc87dbde4aad8c35b547c5bef00b">spark.shuffle.spill.compress</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.760000000000005%" headers="mcps1.3.28.3.2.4.1.2 "><p id="mrs_01_1931__a196f3cf3c62940ec99dbe886a59d6c9b">Indicates whether to compress the data overflowed during shuffle using <strong id="mrs_01_1931__b1145119801113116">spark.io.compression.codec</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.4%" headers="mcps1.3.28.3.2.4.1.3 "><p id="mrs_01_1931__a781db13cb124478e9874551070ae6b99">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rd9a3910908b9496c9ccceac66c9601d4"><td class="cellrowborder" valign="top" width="25.840000000000003%" headers="mcps1.3.28.3.2.4.1.1 "><p id="mrs_01_1931__a4ae09ac5a4bd40dbb9169fd02e63f961">spark.eventLog.compress</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.760000000000005%" headers="mcps1.3.28.3.2.4.1.2 "><p id="mrs_01_1931__a15ee983ca18b4c4aaacddb8cc8816204">Indicates whether to compress logged events when <strong id="mrs_01_1931__b425127401113116">spark.eventLog.enabled</strong> is set to <strong id="mrs_01_1931__b382466275113116">true</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.4%" headers="mcps1.3.28.3.2.4.1.3 "><p id="mrs_01_1931__a4d249186eb85439d94abd71ac05c2f8d">false</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rd402f162d4004ca7a9398fedccd3e279"><td class="cellrowborder" valign="top" width="25.840000000000003%" headers="mcps1.3.28.3.2.4.1.1 "><p id="mrs_01_1931__a83874ef9f91541fc9f9ee1650ee85afd">spark.broadcast.compress</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.760000000000005%" headers="mcps1.3.28.3.2.4.1.2 "><p id="mrs_01_1931__a44fe47d2ab9f497abd3ca2bf41139c0a">Indicates whether to compress broadcast variables before sending them. You are advised to compress the broadcast variables.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.4%" headers="mcps1.3.28.3.2.4.1.3 "><p id="mrs_01_1931__aa60222c898f94157894f9e0324b30161">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__r020237780cdd407eb798e8727f2e4a0c"><td class="cellrowborder" valign="top" width="25.840000000000003%" headers="mcps1.3.28.3.2.4.1.1 "><p id="mrs_01_1931__a00b3fe7445e34ff58ace775112d3950e">spark.rdd.compress</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.760000000000005%" headers="mcps1.3.28.3.2.4.1.2 "><p id="mrs_01_1931__a65d50a815f584c4c95a13dfda9c21f80">Indicates whether to compress serialized RDD partitions (for example, the <strong id="mrs_01_1931__b1538037764113116">StorageLevel.MEMORY_ONLY_SER</strong> partition). Substantial space can be saved at the cost of some extra CPU time.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.4%" headers="mcps1.3.28.3.2.4.1.3 "><p id="mrs_01_1931__a64fa9b1dfe484235be6620c2501769c6">false</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1931__se1e2c79b44ac4cfe9888dd1274f04289"><h4 class="sectiontitle">Reducing the Probability of Abnormal Client Application Operations When Resources Are Insufficient</h4><p id="mrs_01_1931__acc8532f4e8674d6f9bcd034b539298ef">When resources are insufficient, ApplicationMaster tasks must wait and will not be processed until enough resources are available for use. If the actual waiting time exceeds the configured waiting time, the ApplicationMaster tasks will be deleted. Adjust the following parameters to reduce the probability of abnormal client application operation.</p>
+</div>
+<p id="mrs_01_1931__a33492af620554226b834bf000918141d">Configure the following parameters in the <span class="filepath" id="mrs_01_1931__fa6c2fa5a488644ae937e117b0ff33efb"><b>spark-defaults.conf</b></span> file on the client.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1931__t58e24e8b7f7046e69f643661c41c79ac" frame="border" border="1" rules="all"><caption><b>Table 28 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1931__ra96cba67c2a546fab4870447501709cb"><th align="left" class="cellrowborder" valign="top" width="20.93%" id="mcps1.3.31.2.4.1.1"><p id="mrs_01_1931__a780b4a11b7394628ad5ea072920f3878"><strong id="mrs_01_1931__a7af6931b2807445b8d0aae2ab5932e9d">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="63.22%" id="mcps1.3.31.2.4.1.2"><p id="mrs_01_1931__aed2d5dcd74c24243aba24ccc33ac0b20"><strong id="mrs_01_1931__aafdd24ed4d0d4fa8ba2c374069a0e09b">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.85%" id="mcps1.3.31.2.4.1.3"><p id="mrs_01_1931__ac39d1171f9c2417b975b403432347da8"><strong id="mrs_01_1931__a2da44c67239b4d07ac221254be52bf1b">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1931__rdd0e7fae0c7c4085b15a5b8591d4147c"><td class="cellrowborder" valign="top" width="20.93%" headers="mcps1.3.31.2.4.1.1 "><p id="mrs_01_1931__ac674d71fc7e148e3a62d1d323501c3a6">spark.yarn.applicationMaster.waitTries</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.22%" headers="mcps1.3.31.2.4.1.2 "><p id="mrs_01_1931__a12a995e78c6741409ac4d31840072e45">Specifies the number of the times that ApplicationMaster waits for Spark master, which is also the times that ApplicationMaster waits for SparkContext initialization. Enlarge this parameter value to prevent ApplicationMaster tasks from being deleted and reduce the probability of abnormal client application operations.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.85%" headers="mcps1.3.31.2.4.1.3 "><p id="mrs_01_1931__ac88c24aa94b941068fd8f0d1b47c60d2">10</p>
+</td>
+</tr>
+<tr id="mrs_01_1931__rd4ba8cf79af843489705d1ad3b9e4d6b"><td class="cellrowborder" valign="top" width="20.93%" headers="mcps1.3.31.2.4.1.1 "><p id="mrs_01_1931__a7c587f7a66ad4626b3de91af139c935c">spark.yarn.am.memory</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.22%" headers="mcps1.3.31.2.4.1.2 "><p id="mrs_01_1931__a8242b485564f463d99092c3f3512a4e0">Specifies the ApplicationMaster memory. Enlarge this parameter value to prevent ApplicationMaster tasks from being deleted by ResourceManager due to insufficient memory and reduce the probability of abnormal client application operations.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.85%" headers="mcps1.3.31.2.4.1.3 "><p id="mrs_01_1931__a48bce86e4c9d4395b4ac33929bf58f77">1G</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1928.html">Basic Operation</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1933.html b/docs/mrs/component-operation-guide/mrs_01_1933.html
new file mode 100644
index 000000000..a5ca81dba
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1933.html
@@ -0,0 +1,79 @@
+<a name="mrs_01_1933"></a><a name="mrs_01_1933"></a>
+
+<h1 class="topictitle1">Spark on HBase Overview and Basic Applications</h1>
+<div id="body1595920205333"><div class="section" id="mrs_01_1933__scf5e5ef1867443e38f6539643d7069e0"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1933__a18ba939289fd42af8928b03e4f5e8cda">Spark on HBase allows users to query HBase tables in Spark SQL and to store data for HBase tables by using the Beeline tool. You can use HBase APIs to create, read data from, and insert data into tables.</p>
+</div>
+<div class="section" id="mrs_01_1933__section3898491188"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1933__o39a9a466425c47eeaf0ce77118bc43df"><li id="mrs_01_1933__ldcd0883f80dc41aba86350e66b032275"><span>Log in to Manager and choose <span id="mrs_01_1933__text8477174312818"><strong id="mrs_01_1933__b1247720433817">Cluster</strong> &gt; <em id="mrs_01_1933__i1247713431087">Name of the desired cluster</em></span> &gt; <strong id="mrs_01_1933__b14771543487">Cluster Properties</strong> to check whether the cluster is in security mode.</span><p><ul id="mrs_01_1933__ul1852954205415"><li id="mrs_01_1933__li135295411547">If yes, go to <a href="#mrs_01_1933__ld2cb5a391f5e4625bbe0de71686c6bb6">2</a>.</li><li id="mrs_01_1933__li9199164713541">If no, go to <a href="#mrs_01_1933__lca2e4c1523a4428f89fd147c1041a231">5</a>.</li></ul>
+</p></li><li id="mrs_01_1933__ld2cb5a391f5e4625bbe0de71686c6bb6"><a name="mrs_01_1933__ld2cb5a391f5e4625bbe0de71686c6bb6"></a><a name="ld2cb5a391f5e4625bbe0de71686c6bb6"></a><span>Choose <span id="mrs_01_1933__text165201555081"><span id="mrs_01_1933__text16519195516814"><strong id="mrs_01_1933__b10519115516818">Cluster &gt; </strong><em id="mrs_01_1933__i151945515818">Name of the desired cluster</em></span><strong id="mrs_01_1933__b65206553816"> &gt; </strong></span><strong id="mrs_01_1933__b155201755586">Service &gt; Spark2x &gt; Configuration &gt; All Configurations &gt; JDBCServer2x &gt; Default</strong>, and modify the following parameter.</span><p>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1933__tc4be9151493b48d9b2a9c8aedf15fb18" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter list 1</caption><thead align="left"><tr id="mrs_01_1933__r1fd48f89d62d4320a02bd42c7c48dede"><th align="left" class="cellrowborder" valign="top" width="46.300000000000004%" id="mcps1.3.2.2.2.2.1.2.4.1.1"><p id="mrs_01_1933__aaef6ce21329140e7bfd9c546ea442a11">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="27.51%" id="mcps1.3.2.2.2.2.1.2.4.1.2"><p id="mrs_01_1933__ae6061e1b9c6d4297b0e699b752f4bf32">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="26.19%" id="mcps1.3.2.2.2.2.1.2.4.1.3"><p id="mrs_01_1933__a0408a63cc8b9484986ccd39cb18f3b5f">Changed To</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1933__r6d4557c76aa442c28feafccb15a5eb96"><td class="cellrowborder" valign="top" width="46.300000000000004%" headers="mcps1.3.2.2.2.2.1.2.4.1.1 "><p id="mrs_01_1933__acfdfdf5c65eb4779a1a89dd6eaa2dc7d">spark.yarn.security.credentials.hbase.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="27.51%" headers="mcps1.3.2.2.2.2.1.2.4.1.2 "><p id="mrs_01_1933__a69b7ebc4d8e042b6bd61320cf4e6c0aa">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.19%" headers="mcps1.3.2.2.2.2.1.2.4.1.3 "><p id="mrs_01_1933__a1a057919b97a470b9c8e2cf1effda8e2">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_1933__n1f4db076482b4157af5680c958347ccc"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1933__ad1396cf7c97b4e4cb73ae92e44cac968">To ensure that Spark2x can access HBase for a long time, do not modify the following parameters of the HBase and HDFS services:</p>
+<ul id="mrs_01_1933__udc7b508836704e58a2de53df873fd0eb"><li id="mrs_01_1933__l0d5ced6dedf74384bf5d65c6405d7efb">dfs.namenode.delegation.token.renew-interval</li><li id="mrs_01_1933__ld845dfd3142d4641877778546050cccb">dfs.namenode.delegation.token.max-lifetime</li><li id="mrs_01_1933__l6d00052e5a684a3a9e54d0572a5fb5aa">hbase.auth.key.update.interval</li><li id="mrs_01_1933__l909afc22bdab43b5bc6ca1ff973d5ede">hbase.auth.token.max.lifetime (The value is fixed to <strong id="mrs_01_1933__b303444001112556">604800000</strong> ms, that is, 7 days.)</li></ul>
+<p id="mrs_01_1933__p1324878162754">If the preceding parameter configuration must be modified based on service requirements, ensure that the value of the HDFS parameter <strong id="mrs_01_1933__b550908399112556">dfs.namenode.delegation.token.renew-interval</strong> is not greater than the values of the HBase parameters <strong id="mrs_01_1933__b203708624112556">hbase.auth.key.update.interval</strong>, <strong id="mrs_01_1933__b1052830818112556">hbase.auth.token.max.lifetime</strong>, and <strong id="mrs_01_1933__b339406970112556">dfs.namenode.delegation.token.max-lifetime</strong>.</p>
+</div></div>
+</p></li><li id="mrs_01_1933__l1e1d3dadd17f45d6889cb9adc58028f9"><span>Choose <span class="menucascade" id="mrs_01_1933__md157e218bddb4386928d50fa4a0673a0"><b><span class="uicontrol" id="mrs_01_1933__uf644dca55cef4754b2b1256ddeadcf23">SparkResource2x</span></b> &gt; <b><span class="uicontrol" id="mrs_01_1933__udea9105568d74ff5a285fbfa1e3dc357">Default</span></b></span> and modify the following parameters.</span><p>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1933__t9625925c743c48719cda76a39c644f04" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Parameter list 2</caption><thead align="left"><tr id="mrs_01_1933__r6cd0ad608b8c41118608941cdd577b7b"><th align="left" class="cellrowborder" valign="top" width="46.12%" id="mcps1.3.2.2.3.2.1.2.4.1.1"><p id="mrs_01_1933__a4fd1fdd6b1dd49b2891706aa024a4854">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="27.689999999999998%" id="mcps1.3.2.2.3.2.1.2.4.1.2"><p id="mrs_01_1933__a5c74b135417d4a29a0c8786f99276ac3">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="26.19%" id="mcps1.3.2.2.3.2.1.2.4.1.3"><p id="mrs_01_1933__aa3d6c1200ff2493abb5c8624d5d75a51">Changed To</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1933__rac523e3c4a0c48b182f2d13eac7b2499"><td class="cellrowborder" valign="top" width="46.12%" headers="mcps1.3.2.2.3.2.1.2.4.1.1 "><p id="mrs_01_1933__a271e6ddee7b04bad938fa19875a15cbc">spark.yarn.security.credentials.hbase.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="27.689999999999998%" headers="mcps1.3.2.2.3.2.1.2.4.1.2 "><p id="mrs_01_1933__a09bce325188746c897c8200bfcfe7f77">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.19%" headers="mcps1.3.2.2.3.2.1.2.4.1.3 "><p id="mrs_01_1933__a840a959ec49c45eab76ede32fcdeb6bb">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_1933__l402c177e2fcc40e4aefeee5764de9fa9"><span>Restart the Spark2x service for the configuration to take effect.</span><p><div class="note" id="mrs_01_1933__ndeccba30d5974dfe9bfc3c02ecca13be"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1933__a7a19438b44484944a238747fb28d66c0">To use the Spark on HBase function on the Spark2x client, you need to download and install the Spark2x client again.</p>
+</div></div>
+</p></li><li id="mrs_01_1933__lca2e4c1523a4428f89fd147c1041a231"><a name="mrs_01_1933__lca2e4c1523a4428f89fd147c1041a231"></a><a name="lca2e4c1523a4428f89fd147c1041a231"></a><span>On the Spark2x client, use the spark-sql or spark-beeline connection to query tables created by Hive on HBase. You can create an HBase table by running SQL commands or create an external table to associate the HBase table. Before creating tables, ensure that HBase tables exist in HBase. The HBase table <strong id="mrs_01_1933__b365011870112556">table1</strong> is used as an example.</span><p><ol type="a" id="mrs_01_1933__oceaff45b15a3413db4fd1e8bb3e3c515"><li id="mrs_01_1933__l9f23464dea9849498ac4f504a3c1f4ff">Run the following commands to create the HBase table using the Beeline tool:<p id="mrs_01_1933__p132119157144"><a name="mrs_01_1933__l9f23464dea9849498ac4f504a3c1f4ff"></a><a name="l9f23464dea9849498ac4f504a3c1f4ff"></a><strong id="mrs_01_1933__b29612641410">create table </strong><em id="mrs_01_1933__i12181510142">hbaseTable</em></p>
+<p id="mrs_01_1933__p1211815121412"><strong id="mrs_01_1933__b51001722111412">(</strong></p>
+<p id="mrs_01_1933__p3217156149"><em id="mrs_01_1933__i188419397341">id string,</em></p>
+<p id="mrs_01_1933__p18217152146"><em id="mrs_01_1933__i158861739143418">name string,</em></p>
+<p id="mrs_01_1933__p172161516145"><em id="mrs_01_1933__i138889396342">age int</em></p>
+<p id="mrs_01_1933__p72011541413"><strong id="mrs_01_1933__b1511392211149">)</strong></p>
+<p id="mrs_01_1933__p120191516141"><strong id="mrs_01_1933__b7114152221418">using org.apache.spark.sql.hbase.HBaseSource</strong></p>
+<p id="mrs_01_1933__p420171518148"><strong id="mrs_01_1933__b711652213147">options(</strong></p>
+<p id="mrs_01_1933__p1120191561419"><strong id="mrs_01_1933__b2407113218144">hbaseTableName </strong><em id="mrs_01_1933__i996815326148">"table1"</em><strong id="mrs_01_1933__b1540763231412">,</strong></p>
+<p id="mrs_01_1933__p16202157143"><strong id="mrs_01_1933__b1042544953516">keyCols </strong><em id="mrs_01_1933__i1492454943510">"</em><em id="mrs_01_1933__i154281549123514">id</em><em id="mrs_01_1933__i7924124923515">"</em><strong id="mrs_01_1933__b15425134911357">,</strong></p>
+<p id="mrs_01_1933__p142041591415"><strong id="mrs_01_1933__b81211622121413">colsMapping  "</strong></p>
+<p id="mrs_01_1933__p172061521410"><em id="mrs_01_1933__i13285193711356">name=</em><em id="mrs_01_1933__i94501536183519">cf1.cq1</em><em id="mrs_01_1933__i16285437163518">,</em></p>
+<p id="mrs_01_1933__p520141511418"><em id="mrs_01_1933__i202881137123513">age=</em><em id="mrs_01_1933__i154562367350">cf1.cq2</em></p>
+<p id="mrs_01_1933__p520101511142"><strong id="mrs_01_1933__b612752216146">");</strong></p>
+<div class="note" id="mrs_01_1933__note1511555818433"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1933__ul17655287463"><li id="mrs_01_1933__li136551187466"><strong id="mrs_01_1933__b305063015112556">hbaseTable</strong>: name of the created Spark table</li><li id="mrs_01_1933__li965618124615"><strong id="mrs_01_1933__b808447922112556">id string,name string</strong>, <strong id="mrs_01_1933__b1519099621112556">age int</strong>: field name and field type of the Spark table</li><li id="mrs_01_1933__li17656138114610"><strong id="mrs_01_1933__b552328914112556">table1</strong>: name of the HBase table</li><li id="mrs_01_1933__li5656789465"><em id="mrs_01_1933__i100527301112556">id</em>: row key column name of the HBase table</li><li id="mrs_01_1933__li1165720854612"><em id="mrs_01_1933__i402686274112556">name=cf1.cq1</em>, <em id="mrs_01_1933__i120920245112556">age=cf1.cq2</em>: mapping between columns in the Spark table and columns in the HBase table. The <strong id="mrs_01_1933__b883770613112556">name</strong> column of the Spark table maps the <strong id="mrs_01_1933__b367532577112556">cq1</strong> column in the <strong id="mrs_01_1933__b206408305112556">cf1</strong> column family of the HBase table, and the <strong id="mrs_01_1933__b122667390112556">age</strong> column of the Spark table maps the <strong id="mrs_01_1933__b1494984590112556">cq2</strong> column in the <strong id="mrs_01_1933__b209164190112556">cf1</strong> column family of the HBase table.</li></ul>
+</div></div>
+</li><li id="mrs_01_1933__li1539520918583">Run the following command to import data to the HBase table using a CSV file:<p id="mrs_01_1933__p19354836141311"><a name="mrs_01_1933__li1539520918583"></a><a name="li1539520918583"></a><strong id="mrs_01_1933__b1736814061317">hbase org.apache.hadoop.hbase.mapreduce.ImportTsv </strong><strong id="mrs_01_1933__b1169810911367">-Dimporttsv.separator="</strong><strong id="mrs_01_1933__b529822713813">,</strong><strong id="mrs_01_1933__b26991398362">" -</strong><strong id="mrs_01_1933__b195092843614">Dimporttsv.columns=HBASE_ROW_KEY,</strong><em id="mrs_01_1933__i159541228143619">cf1:cq1,cf1:cq2,cf1:cq3,cf1:cq4,cf1:cq5</em><strong id="mrs_01_1933__b17464113319369"> </strong><em id="mrs_01_1933__i112373417361">table1 /hperson</em></p>
+<p id="mrs_01_1933__p749019919586">Where <strong id="mrs_01_1933__b388316747112556">table1</strong> indicates the name of the HBase table, and <strong id="mrs_01_1933__b1107237521112556">/hperson</strong> indicates the path where the CSV file is stored.</p>
+</li><li id="mrs_01_1933__li10426132911589">Run the following command to query data in spark-sql or spark-beeline, where <em id="mrs_01_1933__i3712121713358">hbaseTable</em> is the corresponding Spark table name: The command is as follows:<p id="mrs_01_1933__p3453182916589"><strong id="mrs_01_1933__b143971043123614">select * from </strong><em id="mrs_01_1933__i10163419163515">hbaseTable</em><em id="mrs_01_1933__i1361169162610">;</em></p>
+</li></ol>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1928.html">Basic Operation</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1934.html b/docs/mrs/component-operation-guide/mrs_01_1934.html
new file mode 100644
index 000000000..a39414cc9
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1934.html
@@ -0,0 +1,72 @@
+<a name="mrs_01_1934"></a><a name="mrs_01_1934"></a>
+
+<h1 class="topictitle1">Spark on HBase V2 Overview and Basic Applications</h1>
+<div id="body1595920205566"><div class="section" id="mrs_01_1934__scf5e5ef1867443e38f6539643d7069e0"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1934__a18ba939289fd42af8928b03e4f5e8cda">Spark on HBase V2 allows users to query HBase tables in Spark SQL and to store data for HBase tables by using the Beeline tool. You can use HBase APIs to create, read data from, and insert data into tables.</p>
+</div>
+<div class="section" id="mrs_01_1934__s53d6716d486a44c4abd1c6a267f34b13"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1934__ol16886161321913"><li id="mrs_01_1934__ldcd0883f80dc41aba86350e66b032275"><span>Log in to Manager and choose <span id="mrs_01_1934__text178413512113"><strong id="mrs_01_1934__b19789511118">Cluster</strong> &gt; <em id="mrs_01_1934__i5838518111">Name of the desired cluster</em></span> &gt; <strong id="mrs_01_1934__b584115119111">Cluster Properties</strong> to check whether the cluster is in security mode.</span><p><ul id="mrs_01_1934__ul1852954205415"><li id="mrs_01_1934__li135295411547">If yes, go to <a href="#mrs_01_1934__ld2cb5a391f5e4625bbe0de71686c6bb6">2</a>.</li><li id="mrs_01_1934__li9199164713541">If no, go to <a href="#mrs_01_1934__lca2e4c1523a4428f89fd147c1041a231">5</a>.</li></ul>
+</p></li></ol><ol start="2" id="mrs_01_1934__o39a9a466425c47eeaf0ce77118bc43df"><li id="mrs_01_1934__ld2cb5a391f5e4625bbe0de71686c6bb6"><a name="mrs_01_1934__ld2cb5a391f5e4625bbe0de71686c6bb6"></a><a name="ld2cb5a391f5e4625bbe0de71686c6bb6"></a><span>Choose <span id="mrs_01_1934__text438756161114"><span id="mrs_01_1934__text11371056191111"><strong id="mrs_01_1934__b932056161115">Cluster &gt; </strong><em id="mrs_01_1934__i12373569114">Name of the desired cluster</em></span><strong id="mrs_01_1934__b133795611111"> &gt; </strong></span><strong id="mrs_01_1934__b6384566113">Service &gt; Spark2x &gt; Configuration &gt; All Configurations &gt; JDBCServer2x &gt; Default</strong>, and modify the following parameter.</span><p>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1934__tc4be9151493b48d9b2a9c8aedf15fb18" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter list 1</caption><thead align="left"><tr id="mrs_01_1934__r1fd48f89d62d4320a02bd42c7c48dede"><th align="left" class="cellrowborder" valign="top" width="46.300000000000004%" id="mcps1.3.2.3.1.2.1.2.4.1.1"><p id="mrs_01_1934__aaef6ce21329140e7bfd9c546ea442a11">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="27.51%" id="mcps1.3.2.3.1.2.1.2.4.1.2"><p id="mrs_01_1934__ae6061e1b9c6d4297b0e699b752f4bf32">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="26.19%" id="mcps1.3.2.3.1.2.1.2.4.1.3"><p id="mrs_01_1934__a0408a63cc8b9484986ccd39cb18f3b5f">Changed To</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1934__r6d4557c76aa442c28feafccb15a5eb96"><td class="cellrowborder" valign="top" width="46.300000000000004%" headers="mcps1.3.2.3.1.2.1.2.4.1.1 "><p id="mrs_01_1934__acfdfdf5c65eb4779a1a89dd6eaa2dc7d">spark.yarn.security.credentials.hbase.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="27.51%" headers="mcps1.3.2.3.1.2.1.2.4.1.2 "><p id="mrs_01_1934__a69b7ebc4d8e042b6bd61320cf4e6c0aa">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.19%" headers="mcps1.3.2.3.1.2.1.2.4.1.3 "><p id="mrs_01_1934__a1a057919b97a470b9c8e2cf1effda8e2">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_1934__n1f4db076482b4157af5680c958347ccc"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1934__ad1396cf7c97b4e4cb73ae92e44cac968">To ensure that Spark2x can access HBase for a long time, do not modify the following parameters of the HBase and HDFS services:</p>
+<ul id="mrs_01_1934__udc7b508836704e58a2de53df873fd0eb"><li id="mrs_01_1934__l0d5ced6dedf74384bf5d65c6405d7efb">dfs.namenode.delegation.token.renew-interval</li><li id="mrs_01_1934__ld845dfd3142d4641877778546050cccb">dfs.namenode.delegation.token.max-lifetime</li><li id="mrs_01_1934__l6d00052e5a684a3a9e54d0572a5fb5aa">hbase.auth.key.update.interval</li><li id="mrs_01_1934__l909afc22bdab43b5bc6ca1ff973d5ede">hbase.auth.token.max.lifetime (The value is fixed to <strong id="mrs_01_1934__b1817344552112851">604800000</strong> ms, that is, 7 days.)</li></ul>
+<p id="mrs_01_1934__p1324878162754">If the preceding parameter configuration must be modified based on service requirements, ensure that the value of the HDFS parameter <strong id="mrs_01_1934__b2073706457112851">dfs.namenode.delegation.token.renew-interval</strong> is not greater than the values of the HBase parameters <strong id="mrs_01_1934__b500439343112851">hbase.auth.key.update.interval</strong>, <strong id="mrs_01_1934__b206221437112851">hbase.auth.token.max.lifetime</strong>, and <strong id="mrs_01_1934__b496041460112851">dfs.namenode.delegation.token.max-lifetime</strong>.</p>
+</div></div>
+</p></li><li id="mrs_01_1934__l1e1d3dadd17f45d6889cb9adc58028f9"><span>Choose <span class="menucascade" id="mrs_01_1934__menucascade979017161217"><b><span class="uicontrol" id="mrs_01_1934__uicontrol57848151210">SparkResource2x</span></b> &gt; <b><span class="uicontrol" id="mrs_01_1934__uicontrol12789116121">Default</span></b></span> and modify the following parameters.</span><p>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1934__t9625925c743c48719cda76a39c644f04" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Parameter list 2</caption><thead align="left"><tr id="mrs_01_1934__r6cd0ad608b8c41118608941cdd577b7b"><th align="left" class="cellrowborder" valign="top" width="46.12%" id="mcps1.3.2.3.2.2.1.2.4.1.1"><p id="mrs_01_1934__a4fd1fdd6b1dd49b2891706aa024a4854">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="27.689999999999998%" id="mcps1.3.2.3.2.2.1.2.4.1.2"><p id="mrs_01_1934__a5c74b135417d4a29a0c8786f99276ac3">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="26.19%" id="mcps1.3.2.3.2.2.1.2.4.1.3"><p id="mrs_01_1934__aa3d6c1200ff2493abb5c8624d5d75a51">Changed To</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1934__rac523e3c4a0c48b182f2d13eac7b2499"><td class="cellrowborder" valign="top" width="46.12%" headers="mcps1.3.2.3.2.2.1.2.4.1.1 "><p id="mrs_01_1934__a271e6ddee7b04bad938fa19875a15cbc">spark.yarn.security.credentials.hbase.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="27.689999999999998%" headers="mcps1.3.2.3.2.2.1.2.4.1.2 "><p id="mrs_01_1934__a09bce325188746c897c8200bfcfe7f77">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.19%" headers="mcps1.3.2.3.2.2.1.2.4.1.3 "><p id="mrs_01_1934__a840a959ec49c45eab76ede32fcdeb6bb">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_1934__l402c177e2fcc40e4aefeee5764de9fa9"><span>Restart the Spark2x service for the configuration to take effect.</span><p><div class="note" id="mrs_01_1934__ndeccba30d5974dfe9bfc3c02ecca13be"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1934__a7a19438b44484944a238747fb28d66c0">If you need to use the Spark on HBase function on the Spark2x client, download and install the Spark2x client again.</p>
+</div></div>
+</p></li><li id="mrs_01_1934__lca2e4c1523a4428f89fd147c1041a231"><a name="mrs_01_1934__lca2e4c1523a4428f89fd147c1041a231"></a><a name="lca2e4c1523a4428f89fd147c1041a231"></a><span>On the Spark2x client, use the spark-sql or spark-beeline connection to query tables created by Hive on HBase. You can create an HBase table by running SQL commands or create an external table to associate the HBase table. For details, see the following description. The following uses the HBase table <strong id="mrs_01_1934__b1186721711112851">table1</strong> as an example.</span><p><ol type="a" id="mrs_01_1934__oceaff45b15a3413db4fd1e8bb3e3c515"><li id="mrs_01_1934__l9f23464dea9849498ac4f504a3c1f4ff">Run the following commands to create a table using the spark-beeline tool:<p id="mrs_01_1934__p132119157144"><a name="mrs_01_1934__l9f23464dea9849498ac4f504a3c1f4ff"></a><a name="l9f23464dea9849498ac4f504a3c1f4ff"></a><strong id="mrs_01_1934__b29612641410">create table </strong><em id="mrs_01_1934__i12181510142">hbaseTable</em>1</p>
+<p id="mrs_01_1934__p1211815121412"><strong id="mrs_01_1934__b51001722111412">(</strong><em id="mrs_01_1934__i188419397341">id string,</em> <em id="mrs_01_1934__i158861739143418">name string,</em> <em id="mrs_01_1934__i138889396342">age int</em><strong id="mrs_01_1934__b1511392211149">)</strong></p>
+<p id="mrs_01_1934__p120191516141"><strong id="mrs_01_1934__b7114152221418">using org.apache.spark.sql.hbase.HBaseSource</strong><strong id="mrs_01_1934__b52546375491">V2</strong></p>
+<p id="mrs_01_1934__p420171518148"><strong id="mrs_01_1934__b711652213147">options(</strong></p>
+<p id="mrs_01_1934__p1120191561419"><strong id="mrs_01_1934__b2407113218144">hbaseTableName </strong><em id="mrs_01_1934__i996815326148">"table2"</em><strong id="mrs_01_1934__b1540763231412">,</strong></p>
+<p id="mrs_01_1934__p16202157143"><strong id="mrs_01_1934__b1042544953516">keyCols </strong><em id="mrs_01_1934__i1492454943510">"</em><em id="mrs_01_1934__i154281549123514">id</em><em id="mrs_01_1934__i7924124923515">"</em><strong id="mrs_01_1934__b15425134911357">,</strong></p>
+<p id="mrs_01_1934__p142041591415"><strong id="mrs_01_1934__b81211622121413">colsMapping  "</strong><em id="mrs_01_1934__i13285193711356">name=</em><em id="mrs_01_1934__i94501536183519">cf1.cq1</em><em id="mrs_01_1934__i16285437163518">,</em><em id="mrs_01_1934__i202881137123513">age=</em><em id="mrs_01_1934__i154562367350">cf1.cq2</em><strong id="mrs_01_1934__b064912654118">");</strong></p>
+<div class="note" id="mrs_01_1934__note177541450171811"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1934__ul17655287463"><li id="mrs_01_1934__li136551187466"><strong id="mrs_01_1934__b1839274815112851">hbaseTable1</strong>: name of the created Spark table</li><li id="mrs_01_1934__li965618124615"><strong id="mrs_01_1934__b609991621112851">id string,name string</strong>, <strong id="mrs_01_1934__b1318848822112851">age int</strong>: field name and field type of the Spark table</li><li id="mrs_01_1934__li17656138114610"><strong id="mrs_01_1934__b1842976931112851">table2</strong>: name of the HBase table</li><li id="mrs_01_1934__li5656789465"><em id="mrs_01_1934__i630222286112851">id</em>: row key column name of the HBase table</li><li id="mrs_01_1934__li1165720854612"><em id="mrs_01_1934__i1876466365112851">name=cf1.cq1</em>, <em id="mrs_01_1934__i713791237112851">age=cf1.cq2</em>: mapping between columns in the Spark table and columns in the HBase table. The <strong id="mrs_01_1934__b1746960273112851">name</strong> column of the Spark table maps the <strong id="mrs_01_1934__b1555557655112851">cq1</strong> column in the <strong id="mrs_01_1934__b1831261683112851">cf1</strong> column family of the HBase table, and the <strong id="mrs_01_1934__b70906935112851">age</strong> column of the Spark table maps the <strong id="mrs_01_1934__b1871630294112851">cq2</strong> column in the <strong id="mrs_01_1934__b204626021112851">cf1</strong> column family of the HBase table.</li></ul>
+</div></div>
+</li><li id="mrs_01_1934__l42ff86dc110648738bf5abbe63c1b14b">Run the following command to import data to the HBase table using a CSV file:<p id="mrs_01_1934__p19354836141311"><a name="mrs_01_1934__l42ff86dc110648738bf5abbe63c1b14b"></a><a name="l42ff86dc110648738bf5abbe63c1b14b"></a><strong id="mrs_01_1934__b1736814061317">hbase org.apache.hadoop.hbase.mapreduce.ImportTsv </strong><strong id="mrs_01_1934__b1169810911367">-Dimporttsv.separator="</strong><strong id="mrs_01_1934__b529822713813">,</strong><strong id="mrs_01_1934__b26991398362">" -</strong><strong id="mrs_01_1934__b195092843614">Dimporttsv.columns=HBASE_ROW_KEY,</strong><em id="mrs_01_1934__i159541228143619">cf1:cq1,cf1:cq2,cf1:cq3,cf1:cq4,cf1:cq5</em><strong id="mrs_01_1934__b17464113319369"> </strong><em id="mrs_01_1934__i112373417361">table2 /hperson</em></p>
+<p id="mrs_01_1934__p749019919586">Where <strong id="mrs_01_1934__b384558963112851">table2</strong> indicates the name of the HBase table, and <strong id="mrs_01_1934__b1645000586112851">/hperson</strong> indicates the path where the CSV file is stored.</p>
+</li><li id="mrs_01_1934__la9d0aa37ddc544cb9018aed8baf035f2">Run the following command to query data in spark-sql or spark-beeline. <em id="mrs_01_1934__i2134589995112851">hbaseTable1</em> indicates the corresponding Spark table name.<p id="mrs_01_1934__p487815444223"><strong id="mrs_01_1934__b83911916233">select * from </strong><em id="mrs_01_1934__i1296220972315">hbaseTable</em><em id="mrs_01_1934__i182321422357">1;</em></p>
+</li></ol>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1928.html">Basic Operation</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1935.html b/docs/mrs/component-operation-guide/mrs_01_1935.html
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@@ -0,0 +1,23 @@
+<a name="mrs_01_1935"></a><a name="mrs_01_1935"></a>
+
+<h1 class="topictitle1">SparkSQL Permission Management(Security Mode)</h1>
+<div id="body1595920205568"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1936.html">Spark SQL Permissions</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1937.html">Creating a Spark SQL Role</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1938.html">Configuring Permissions for SparkSQL Tables, Columns, and Databases</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1939.html">Configuring Permissions for SparkSQL to Use Other Components</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1940.html">Configuring the Client and Server</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1928.html">Basic Operation</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1936.html b/docs/mrs/component-operation-guide/mrs_01_1936.html
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@@ -0,0 +1,112 @@
+<a name="mrs_01_1936"></a><a name="mrs_01_1936"></a>
+
+<h1 class="topictitle1">Spark SQL Permissions</h1>
+<div id="body1595920205775"><div class="section" id="mrs_01_1936__s6004a858d29f40eeaef89370f8639e65"><h4 class="sectiontitle">SparkSQL Permissions</h4><p id="mrs_01_1936__aae3bd6c6a45e4a68b73e2e85dedf10b7">Similar to Hive, Spark SQL is a data warehouse framework built on Hadoop, providing storage of structured data like structured query language (SQL).</p>
+<p id="mrs_01_1936__aa9a72bbbeb944ea29d6850e28b2a3509"><span id="mrs_01_1936__text9835101861019">MRS</span> supports users, user groups, and roles. Permission must be assigned to roles and then roles are bound to users or user groups. Users can obtain permissions only by binding a role or joining a group that is bound with a role.</p>
+<div class="note" id="mrs_01_1936__n6757f921e8a64929a0cc23c62f40d757"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1936__ul06971811123313"><li id="mrs_01_1936__li136971611103315">If the current component uses Ranger for permission control, you need to configure permission management policies based on Ranger. For details, see <a href="mrs_01_1860.html">Adding a Ranger Access Permission Policy for Spark2x</a>.</li><li id="mrs_01_1936__li1269751117331">After Ranger authentication is enabled or disabled on Spark2x, you need to restart Spark2x and download the client again or update the client configuration file <strong id="mrs_01_1936__b19141027101916">spark/conf/spark-defaults.conf</strong>.<p id="mrs_01_1936__p19489174814011">Enable Ranger authentication: <strong id="mrs_01_1936__b9911175014527">spark.ranger.plugin.authorization.enable=true</strong></p>
+<p id="mrs_01_1936__li1269751117331p1">Disable Ranger authentication: <strong id="mrs_01_1936__b131911052195217">spark.ranger.plugin.authorization.enable=false</strong></p>
+</li></ul>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1936__sdd3c0206e315427ba6190dc6ade9dd57"><h4 class="sectiontitle">Permission Management</h4><p id="mrs_01_1936__a8ccc1bb815a7410aa6249c831cf147e0">Spark SQL permission management indicates the permission system for managing and controlling users' operations on databases, to ensure that different users can operate databases separately and securely. A user can operate another user's tables and databases only with the corresponding permissions. Otherwise, operations will be rejected.</p>
+<p id="mrs_01_1936__ac0ce47494adf43b6adc3db1c5fc3a9c3">Spark SQL permission management integrates the functions of Hive management. The MetaStore service of Hive and the permission granting function on the page are required to enable Spark SQL permission management.</p>
+<p id="mrs_01_1936__a0c28b00ba7ed4b3b86812b0b08a365c2"><a href="#mrs_01_1936__fd3a2b5c226864acd937682b321890f11">Figure 1</a> shows the basic architecture of SparkSQL permission management. This architecture includes two parts: granting permissions on the page, and obtaining and judging a service.</p>
+<ul id="mrs_01_1936__ud3f119d628884d2c83f18aaec22528e0"><li id="mrs_01_1936__l5aa1accbef214b82931e5eb5f2b7eba8">Granting permissions on the page: Spark SQL only supports granting permissions on the page. On FusionInsight Manager, choose <strong id="mrs_01_1936__b2121364073113420">System</strong> &gt; <strong id="mrs_01_1936__b1232960574113420">Permission</strong> to add or delete a user, user group, or a role, and to grant permissions or cancel permissions.</li><li id="mrs_01_1936__le41a313539774353ae8270ed264940a5">Obtaining and judging a service: When the DDL and DML commands are received from a client, Spark SQL will obtain the client's permissions on database information from MetaStore, and check whether the required permissions are included. If the required permissions are included, continue the execution. If the required permissions are not included, reject the user's operations. After the MetaStore permissions are checked, ACL permission also needs to be checked on HDFS.</li></ul>
+<div class="fignone" id="mrs_01_1936__fd3a2b5c226864acd937682b321890f11"><a name="mrs_01_1936__fd3a2b5c226864acd937682b321890f11"></a><a name="fd3a2b5c226864acd937682b321890f11"></a><span class="figcap"><b>Figure 1 </b>Spark SQL permission management architecture</span><br><span><img id="mrs_01_1936__image193651085612" src="en-us_image_0000001296249948.png"></span></div>
+<p id="mrs_01_1936__ac7bea09ae3634c51b2174da370115f77">Additionally, Spark SQL provides column and view permissions to meet requirements of different scenarios.</p>
+<ul id="mrs_01_1936__u067d574f8b76465c9d40dbbb489203d9"><li id="mrs_01_1936__lfd97c1b96cd546adac235c406e8e2b99">Column permission<p id="mrs_01_1936__a16a3f965f0ac45db9c35e363a965b5ba"><a name="mrs_01_1936__lfd97c1b96cd546adac235c406e8e2b99"></a><a name="lfd97c1b96cd546adac235c406e8e2b99"></a>Spark SQL permission control consists of metadata permission control and HDFS ACL permission control. When Hive MetaStore automatically synchronizes table permissions to the HDFS ACL, column-level permissions are not synchronized. In other words, a user with partial or all column-level permissions cannot access the entire HDFS file using the HDFS client.</p>
+<ul id="mrs_01_1936__u0d327a215a9e4b79af135e05bb2db3a1"><li id="mrs_01_1936__l206799747c554dd8b3d8afa66bfa6a1a">In <strong id="mrs_01_1936__b914841059113420">spark-sql</strong> mode, users with only column-level permissions cannot access HDFS files. Therefore, they cannot access the columns of the corresponding tables.</li><li id="mrs_01_1936__l69f427543c0746daac1c0e4f3fc3e6e1">In Beeline/JDBCServer mode, permissions are assigned among users, for example, the permissions on the table created by user A are assigned to user B.<ul id="mrs_01_1936__ueb963c2485064333a50dcde6d0dcc118"><li id="mrs_01_1936__l95bd56d6eaa04594a3819dedf572adeb"><span class="parmname" id="mrs_01_1936__parmname970522911113420"><b>hive.server2.enable.doAs</b></span>=<strong id="mrs_01_1936__b1543934748113420">true</strong> (configured in the <span class="filepath" id="mrs_01_1936__filepath482027468113420"><b>hive-site.xml</b></span> file on the Spark server)<p id="mrs_01_1936__a14f25a576999412491205748e3bffa4c">In this case, user B cannot query the information. You need to manually assign the read permission on the file in HDFS.</p>
+</li><li id="mrs_01_1936__ld432a426d8524e2abaa332bc0e2b9981"><span class="parmname" id="mrs_01_1936__pd7503c5e197b48f0897f4c83ccc168f3"><b>hive.server2.enable.doAs</b></span>=false<ul id="mrs_01_1936__uc3edf23dd89c4c0babdc2428b7cf1867"><li id="mrs_01_1936__l1a5f0bafbee947fd8beceba8cc9dc83c">Users A and B are connected by Beeline. User B can query the information.</li><li id="mrs_01_1936__l0259ab1f06294d338a84e83ed99967d0">User A creates a table using SQL statements, and user B can query the table in Beeline.</li></ul>
+<p id="mrs_01_1936__af377c9e0fe1a49cda620919e45932774">However, information query is not supported in other scenarios, for example, user A uses Beeline to create a table and user B uses SQL to query the table, or user A uses SQL to create a table and user B uses SQL to query the table. You need to manually assign the read permission on the file in HDFS.</p>
+</li></ul>
+</li></ul>
+<div class="note" id="mrs_01_1936__ne7ec9ef6688d4f1b9d5278b9ef4c3a98"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1936__a974bd0a25c1749fcabf04bb8415a5c84">The <strong id="mrs_01_1936__b882741679113420">spark</strong> user is an <span id="mrs_01_1936__ph285165704717">Spark</span><span id="mrs_01_1936__ph84731358174712"> </span>administrator in HDFS ACL permission control. The permission control of the Beeline client user depends only on the metadata permission on Spark.</p>
+</div></div>
+</li><li id="mrs_01_1936__l05c3205f8e5c4293a6ef4337abd64301">View permission<p id="mrs_01_1936__a8dbc592dc3074dca94232d2a26a43c83"><a name="mrs_01_1936__l05c3205f8e5c4293a6ef4337abd64301"></a><a name="l05c3205f8e5c4293a6ef4337abd64301"></a>View permission indicates the operation permission such as query and modification on the view of a table, regardless of the corresponding permission of a table. Namely, if you have the permission to query the view of a table, the permission to query the table is not mandatory. The view permission is applicable to the whole table but not to the columns.</p>
+<p id="mrs_01_1936__aa2332edb28db404db434b0701570d9ea">Restrictions of view and column permissions on SparkSQL are similar. The following uses the view permission as an example:</p>
+<ul id="mrs_01_1936__ub7afcca99e71469395aad9fb02b80be1"><li id="mrs_01_1936__l4b5729d1d1b049c5baa648aa088430a9">In spark-sql mode, if you have only the view permission but not the table permission and do not have the permission to read HDFS, you cannot access the table data stored in HDFS. That is, you cannot query the view of the table.</li><li id="mrs_01_1936__ld534df8deb78490d8430266bf00f73d8">In Beeline/JDBCServer mode, permissions are assigned among users, for example, the permissions on the view created by user A are assigned to user B.<ul id="mrs_01_1936__uedb5c74c51a94d4fa43e73e9943f77d4"><li id="mrs_01_1936__le6282f81aa324822916018deb6c39be3"><span class="parmname" id="mrs_01_1936__parmname487760553113420"><b>hive.server2.enable.doAs</b></span>=<strong id="mrs_01_1936__b1349467226113420">true</strong> (configured in the <span class="filepath" id="mrs_01_1936__filepath734633634113420"><b>hive-site.xml</b></span> file on the Spark server)<p id="mrs_01_1936__a0e51d1f15f1941c683c02f0fbad72f46">In this case, user B cannot query the information. You need to manually assign the read permission on the file in HDFS.</p>
+</li><li id="mrs_01_1936__l4e1e062851294ee5851e98da86538e77"><span class="parmname" id="mrs_01_1936__p2853f97467ed4521a68aec756c0d77bb"><b>hive.server2.enable.doAs</b></span>=false<ul id="mrs_01_1936__u6d6b1db9a77640f59abc535f3779d995"><li id="mrs_01_1936__lc33e2864748e45e3a3659921f58f779c">Users A and B are connected by Beeline. User B can query the information.</li><li id="mrs_01_1936__l18670c29459642c0888e4bd4e3aa9346">User A creates a view using SQL statements, and user B can query the view in Beeline.</li></ul>
+<p id="mrs_01_1936__ad72c9fcf1f2a4796a145d2f59c12a401">However, information query is not supported in other scenarios. For example, user A uses Beeline to create a view but user B cannot use SQL to query the view, or user A uses SQL to create a view but user B cannot use SQL to query the view. You need to manually assign the read permission on the file in HDFS.</p>
+</li></ul>
+</li></ul>
+<p id="mrs_01_1936__a8f25fdb7c392495480c7b4f10e4491ce">Permission of operations on the view of a table is as follows:</p>
+<ul id="mrs_01_1936__u2ea384e7864c42efa795a1ae2fa6ca53"><li id="mrs_01_1936__l319c4194a0ff4645b0bff6c8a002928c">To create a view, you must have the CREATE permission on the database and the SELECT and SELECT_of_GRANT permissions on the tables.</li><li id="mrs_01_1936__l5fba94f09ff540a9bf64043aad8c91b0">Creating and describing a view only entail the SELECT permission on the view. Querying views and tables at the same time entails the SELECT permission on other tables. For example, to perform <strong id="mrs_01_1936__b861599516113420">select * from v1 join t1</strong>, you must have the SELECT permission on the <strong id="mrs_01_1936__b1556063813113420">v1</strong> view and <strong id="mrs_01_1936__b1292193259113420">t1</strong> table, even through the <strong id="mrs_01_1936__b221821419113420">v1</strong> view depends on the <strong id="mrs_01_1936__b1774079303113420">t1</strong> table.<div class="note" id="mrs_01_1936__n23ae33e01b0d40089897e1541cb74761"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1936__a745bb05bfa024283af35e406016dbdf5">In Beeline/JDBCServer mode, to query a view, you must have the SELECT permission on the tables. In spark-sql mode, to query a view, you must have the SELECT permission on the view and tables.</p>
+</div></div>
+</li><li id="mrs_01_1936__l393ee6012e2b44dcaab46ba1df31ea3a">Deleting and modifying a view entail the permission of owner on the view.</li></ul>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1936__sdcce963a90da43bd8ec3a9d69b305ce0"><h4 class="sectiontitle">SparkSQL Permission Model</h4><p id="mrs_01_1936__a01b4a90b7b0e4a7e9234cdb1e88de003">If you want to perform SQL operations using SparkSQL, you must be granted with permissions of SparkSQL databases and tables (include external tables and views). The complete permission model of SparkSQL consists of the meta data permission and HDFS file permission. Permissions required to use a database or a table is just one type of SparkSQL permission.</p>
+<ul id="mrs_01_1936__ufac35cbea89647308c85368fb462e4ed"><li id="mrs_01_1936__la830c7b70b9b43e7bd15fbc15bf93b69">Metadata permissions<p id="mrs_01_1936__a9a33af91ad004534ab9b801b40370b37"><a name="mrs_01_1936__la830c7b70b9b43e7bd15fbc15bf93b69"></a><a name="la830c7b70b9b43e7bd15fbc15bf93b69"></a>Metadata permissions are controlled at the metadata layer. Similar to traditional relational databases, SparkSQL databases involve the CREATE and SELECT permissions, and tables and columns involve the SELECT, INSERT, UPDATE, and DELETE permissions. SparkSQL also supports the permissions of <span class="parmname" id="mrs_01_1936__p9b3bd6fdea824e9a9aa9749f587402df"><b>OWNERSHIP</b></span> and <span class="parmname" id="mrs_01_1936__p4e1f57da2aa74f8987641810cf16070b"><b>ADMIN</b></span>.</p>
+</li><li id="mrs_01_1936__l29dd38f75eae4660945725ebb04da69f">Data file permissions (that is, HDFS file permissions)<p id="mrs_01_1936__a8978d816a1ad4b0f9c5f7be56e866d3f"><a name="mrs_01_1936__l29dd38f75eae4660945725ebb04da69f"></a><a name="l29dd38f75eae4660945725ebb04da69f"></a>SparkSQL database and table files are stored in HDFS. The created databases or tables are saved in the <span class="filepath" id="mrs_01_1936__f2c3a8c80d1ec445292a7fcafd21611ad"><b>/user/hive/warehouse</b></span> directory of HDFS by default. The system automatically creates subdirectories named after database names and database table names. To access a database or table, you must have the <span class="parmname" id="mrs_01_1936__p6cd26950619442cfa8fad39758f4faf9"><b><span id="mrs_01_1936__text226519314920">Read</span></b></span>, <span class="parmname" id="mrs_01_1936__pd945a8be8ed249938ac7ef0f850dc5aa"><b><span id="mrs_01_1936__text865597294">Write</span></b></span> and <span class="parmname" id="mrs_01_1936__pc91ee45c8ea84d619774fa1cc382dbb4"><b><span id="mrs_01_1936__text146451822593">Execute</span></b></span> permissions on the corresponding file in HDFS.</p>
+</li></ul>
+<p id="mrs_01_1936__aa8e414dec6324f08b8c02b604ef527ed">To perform various operations on SparkSQL databases or tables, you need to associate the metadata permission and HDFS file permission. For example, to query SparkSQL data tables, you need to associate the metadata permission <span class="parmname" id="mrs_01_1936__pc7777e5a00c545cb90f6390582b7e145"><b>SELECT</b></span> and HDFS file permissions <span class="parmname" id="mrs_01_1936__pfd058f9cf08d49a88634b81ecd1313f6"><b><span id="mrs_01_1936__text13570728699">Read</span></b></span> and <span class="parmname" id="mrs_01_1936__pcbef0e8daa79486a8191404b3e47e386"><b><span id="mrs_01_1936__text390612335919">Execute</span></b></span>.</p>
+<p id="mrs_01_1936__ac34ac844c2dc44a58ba03cd6c0f3807b">Using the management function of Manager GUI to manage the permissions of SparkSQL databases and tables, only requires the configuration of metadata permission, and the system will automatically associate and configure the HDFS file permission. In this way, operations on the interface are simplified, and the efficiency is improved.</p>
+</div>
+<div class="section" id="mrs_01_1936__sd6052b70b7c6456088d551f3522dedab"><h4 class="sectiontitle">Usage Scenarios and Related Permissions</h4><p id="mrs_01_1936__ae90be1b002f4420ebff75e2ef88d9e0e">Creating a database with SparkSQL service requires users to join in the hive group, without granting a role. Users have all permissions on the databases or tables created by themselves in Hive or HDFS. They can create tables, select, delete, insert, or update data, and grant permissions to other users to allow them to access the tables and corresponding HDFS directories and files.</p>
+<p id="mrs_01_1936__a698c5a604e71485ba1ad768796c58f03">A user can access the tables or database only with permissions. Users' permissions vary depending on different SparkSQL scenarios.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1936__tbda3e4be6dec4dffaf5fa40862c845a4" frame="border" border="1" rules="all"><caption><b>Table 1 </b>SparkSQL scenarios</caption><thead align="left"><tr id="mrs_01_1936__r82f29561b0b543198e963ffc63f458ea"><th align="left" class="cellrowborder" valign="top" width="22.93%" id="mcps1.3.4.4.2.3.1.1"><p id="mrs_01_1936__a3e6e31fba4a04ec08da3b7411a71d896"><strong id="mrs_01_1936__ade74162adf0a42ccb4b842c33fb08939">Typical Scenario</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="77.07000000000001%" id="mcps1.3.4.4.2.3.1.2"><p id="mrs_01_1936__a46eea93afcc940b6aca27dbc24c47df0"><strong id="mrs_01_1936__a81418e7411b249a8a95cda4b372a12c4">Required Permission</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1936__r41bb0b521c5c4be6b5fc69ecd1dcff82"><td class="cellrowborder" valign="top" width="22.93%" headers="mcps1.3.4.4.2.3.1.1 "><p id="mrs_01_1936__a2a3a2c2702e04498bd9cc2b5a40f9616">Using SparkSQL tables, columns, or databases</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.07000000000001%" headers="mcps1.3.4.4.2.3.1.2 "><p id="mrs_01_1936__a84a40b040298433f9ed7ee7b0d61d1cd">Permissions required in different scenarios are as follows:</p>
+<ul id="mrs_01_1936__u84e9516586104a2daf3f7e0895569e6a"><li id="mrs_01_1936__l1b611acbeb344f34bdb42bf79879f785">To create a table, the CREATE permission is required.</li><li id="mrs_01_1936__lee9d4f93bc134e61876877107edd8c9e">To query data, the SELECT permission is required.</li><li id="mrs_01_1936__l5d40fcb1b9de4686abb06726a5170e93">To insert data, the INSERT permission is required.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_1936__r9c901630425741069a2d66da7b2f86a7"><td class="cellrowborder" valign="top" width="22.93%" headers="mcps1.3.4.4.2.3.1.1 "><p id="mrs_01_1936__ada3cce2f2bb24aefaed0f4e240a34d01">Associating and using other components</p>
+</td>
+<td class="cellrowborder" valign="top" width="77.07000000000001%" headers="mcps1.3.4.4.2.3.1.2 "><p id="mrs_01_1936__af8366ee5f3764f5e961ddd148cd8e2ea">In some scenarios, except the SparkSQL permission, other permissions may be also required. For example:</p>
+<p id="mrs_01_1936__a82237efec1d2477ca13bfd174baa2210">Using Spark on HBase to query HBase data in SparkSQL requires HBase permissions.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1936__a8695ba0a52ee4d89854a46eae835e1a2">In some special SparkSQL scenarios, other permissions must be configured separately.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1936__tc11ba9da39044191944d0c07d19b1c37" frame="border" border="1" rules="all"><caption><b>Table 2 </b>SparkSQL scenarios and required permissions</caption><thead align="left"><tr id="mrs_01_1936__ra9ef1ad1d40e4326aacc48bf3fa94945"><th align="left" class="cellrowborder" valign="top" width="31.580000000000002%" id="mcps1.3.4.6.2.3.1.1"><p id="mrs_01_1936__ab50777c8f5264217a13dad42fcf8b147"><strong id="mrs_01_1936__a6304f69353fa4e8ab0cfdf0168ba1ea0">Scenario</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="68.42%" id="mcps1.3.4.6.2.3.1.2"><p id="mrs_01_1936__a36c99576177c4dc296836a5c509350de"><strong id="mrs_01_1936__a16f6b45b93ce49e995aa4f662508aeb8">Required Permission</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1936__rb8108db8278a40a0865d73781419fa0d"><td class="cellrowborder" valign="top" width="31.580000000000002%" headers="mcps1.3.4.6.2.3.1.1 "><p id="mrs_01_1936__a11a77d57fd894942bef4f47f3882e258">Creating SparkSQL databases, tables, and external tables, or adding partitions to created Hive tables or external tables when data files specified by Hive users are saved to other HDFS directories except <strong id="mrs_01_1936__b1205386690113420">/user/hive/warehouse</strong></p>
+</td>
+<td class="cellrowborder" valign="top" width="68.42%" headers="mcps1.3.4.6.2.3.1.2 "><ul id="mrs_01_1936__u9fed7b77bd784d94ab5c3d7e1abbffbc"><li id="mrs_01_1936__l50c32baa7023468a8f33dd4d852af999">The directory must exist, the client user must be the owner of the directory, and the user must have the <strong id="mrs_01_1936__b1778050213113420">Read</strong>, <strong id="mrs_01_1936__b291292926113420">Write</strong>, and <strong id="mrs_01_1936__b226617904113420">Execute</strong> permissions on the directory. The user must have the <strong id="mrs_01_1936__b1216080347113420">Read</strong> and <strong id="mrs_01_1936__b812214588113420">Execute</strong> permissions of all the upper-layer directories of the directory.</li><li id="mrs_01_1936__le606db0df51749e6955f8d7af59a9df3">If the Spark version is later than 2, the <strong id="mrs_01_1936__b1255423036113420">Create</strong> permission of the Hive database is required if you want to create a HBase table. However, in Spark 1.5, the <strong id="mrs_01_1936__b1002100294113420">Create</strong> permissions of both the Hive database and HBase namespace are required if you want to create a HBase table.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_1936__r812d70a1d1884998983ae4fcb34909e2"><td class="cellrowborder" valign="top" width="31.580000000000002%" headers="mcps1.3.4.6.2.3.1.1 "><p id="mrs_01_1936__a6067cc97d5534a098c0b5d61a4705ea2">Importing all the files or specified files in a specified directory to the table using load</p>
+</td>
+<td class="cellrowborder" valign="top" width="68.42%" headers="mcps1.3.4.6.2.3.1.2 "><ul id="mrs_01_1936__u59b971aba5634a028eeaaa983b7e04cf"><li id="mrs_01_1936__l17e39b6750f84839ac6f96d7a7e9315a">The data source is a Linux local disk, the specified directory exists, and the system user <strong id="mrs_01_1936__b209790798113420">omm</strong> has read and execute permission of the directory and all its upper-layer directories. The specified file exists, and user <strong id="mrs_01_1936__b248061182113420">omm</strong> has the <strong id="mrs_01_1936__b477516532113420">Read</strong> permission on the file and has the <strong id="mrs_01_1936__b311233826113420">Read</strong> and <strong id="mrs_01_1936__b1469912389113420">Execute</strong> permissions on all the upper-layer directories of the file.</li><li id="mrs_01_1936__lc294eaef42c240e2bb10ab267e59e662">The data source is HDFS, the specified directory exists, and the SparkSQL user is the owner of the directory and has the <strong id="mrs_01_1936__b1498477227113420">Read</strong>, <strong id="mrs_01_1936__b826344958113420">Write</strong>, and <strong id="mrs_01_1936__b211464223113420">Execute</strong> permissions on the directory and its subdirectories, and has the <strong id="mrs_01_1936__b66386367113420">Read</strong> and <strong id="mrs_01_1936__b1567594176113420">Execute</strong> permissions on all its upper-layer directories. The specified file exists, and the SparkSQL user is the owner of the file and has the <strong id="mrs_01_1936__b1070910416113420">Read</strong>, <strong id="mrs_01_1936__b1301856429113420">Write</strong>, and <strong id="mrs_01_1936__b1860033717113420">Execute</strong> permissions on the file and has the <strong id="mrs_01_1936__b1790925537113420">Read</strong> and <strong id="mrs_01_1936__b1932297773113420">Execute</strong> permissions on all its upper-layer directories.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_1936__r4b6081817f4d4db5a6f5420bb0f4552b"><td class="cellrowborder" valign="top" width="31.580000000000002%" headers="mcps1.3.4.6.2.3.1.1 "><p id="mrs_01_1936__a5767c31c68fa454f9956a8aaf9ab1826">Creating or deleting functions or modifying any database</p>
+</td>
+<td class="cellrowborder" valign="top" width="68.42%" headers="mcps1.3.4.6.2.3.1.2 "><p id="mrs_01_1936__a6f895f9f3aa8429ba1c0979be8eb3d56">The <strong id="mrs_01_1936__b661763004113420">ADMIN</strong> permission is required.</p>
+</td>
+</tr>
+<tr id="mrs_01_1936__r7c209b4789e14f0c8a7b3420fb0451c4"><td class="cellrowborder" valign="top" width="31.580000000000002%" headers="mcps1.3.4.6.2.3.1.1 "><p id="mrs_01_1936__a8c8a206ca8e44d60afd313570cb773de">Performing operations on all databases and tables in Hive</p>
+</td>
+<td class="cellrowborder" valign="top" width="68.42%" headers="mcps1.3.4.6.2.3.1.2 "><p id="mrs_01_1936__af3275d46ccc244508698b678afddfbe7">The user must be added to the <strong id="mrs_01_1936__b1842661968113420">supergroup</strong> user group, and be assigned the <strong id="mrs_01_1936__b512599771113420">ADMIN</strong> permission.</p>
+</td>
+</tr>
+<tr id="mrs_01_1936__row204714012419"><td class="cellrowborder" valign="top" width="31.580000000000002%" headers="mcps1.3.4.6.2.3.1.1 "><p id="mrs_01_1936__p824485385014">After assigning the <strong id="mrs_01_1936__b1860650344113420">Insert</strong> permission on some DataSource tables, assigning the <strong id="mrs_01_1936__b940274945113420">Write</strong> permission on table directories in HDFS before performing the insert or analyze operation</p>
+</td>
+<td class="cellrowborder" valign="top" width="68.42%" headers="mcps1.3.4.6.2.3.1.2 "><p id="mrs_01_1936__p112441453125017">When the <strong id="mrs_01_1936__b84433767113420">Insert</strong> permission is assigned to the <strong id="mrs_01_1936__b1991683927113420">spark datasource</strong> table, if the table format is text, CSV, JSON, Parquet, or ORC, the permission on the table directory is not changed. After the <strong id="mrs_01_1936__b618825521113420">Insert</strong> permission is assigned to the DataSource table of the preceding formats, you need to assign the <strong id="mrs_01_1936__b1258343508113420">Write</strong> permission to the table directories in HDFS separately so that users can perform the insert or analyze operation on the tables.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1935.html">SparkSQL Permission Management(Security Mode)</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1937"></a><a name="mrs_01_1937"></a>
+
+<h1 class="topictitle1">Creating a Spark SQL Role</h1>
+<div id="body1595920205992"><div class="section" id="mrs_01_1937__s92d44b7b4fc24f42ac831038a3391d3c"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1937__aef5e79bdfe3140c790420f9a1eefaa34">This section describes how to create and configure a SparkSQL role on Manager as the system administrator. The Spark SQL role can be configured with the <span id="mrs_01_1937__ph1556925410519">Spark </span>administrator permission or the permission of performing operations on the table data.</p>
+<p id="mrs_01_1937__ac6167e132f79422db1b3037ce52bcdc0">Creating a database with Hive requires users to join in the <strong id="mrs_01_1937__b1155544547112055">hive</strong> group, without granting a role. Users have all permissions on the databases or tables created by themselves in Hive or HDFS. They can create tables, select, delete, insert, or update data, and grant permissions to other users to allow them to access the tables and corresponding HDFS directories and files. The created databases or tables are saved in the <strong id="mrs_01_1937__b667697035112055">/user/hive/warehouse</strong> directory of HDFS by default.</p>
+<div class="note" id="mrs_01_1937__n6757f921e8a64929a0cc23c62f40d757"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1937__ul1582111910116"><li id="mrs_01_1937__li10209261510">If the current component uses Ranger for permission control, you need to configure permission management policies based on Ranger. For details, see <a href="mrs_01_1860.html">Adding a Ranger Access Permission Policy for Spark2x</a>.</li><li id="mrs_01_1937__li1269751117331">After Ranger authentication is enabled or disabled on Spark2x, you need to restart Spark2x and download the client again or update the client configuration file <strong id="mrs_01_1937__b44561111207">spark/conf/spark-defaults.conf</strong>.<p id="mrs_01_1937__p19489174814011">Enable Ranger authentication: <strong id="mrs_01_1937__b517055016452">spark.ranger.plugin.authorization.enable=true</strong></p>
+<p id="mrs_01_1937__li1269751117331p1">Disable Ranger authentication: <strong id="mrs_01_1937__b1937211313467">spark.ranger.plugin.authorization.enable=false</strong></p>
+</li></ul>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1937__s9565281564ee438fbd4cd214624e0d48"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1937__o696d088ecb98405eb0564042ac472e82"><li id="mrs_01_1937__l517d874fa204422680421f698a4f5538">Log in to Manager, and choose <span class="parmname" id="mrs_01_1937__p6ff23cc3f0c44bc6b96662fd80c3d19e"><b>System &gt; <span id="mrs_01_1937__text95011812125513">Permission &gt; </span>Role</b></span>.</li><li id="mrs_01_1937__lc019f8ec1db14c958cdc0db4397a54bd">Click <span class="parmname" id="mrs_01_1937__p51f02dac5c3541a08516c5848cebb638"><b>Create Role</b></span> and set a role name and enter description.</li><li id="mrs_01_1937__l7bd2c5ddb36946b5966d7a7ea9a25e76">Set <span class="parmname" id="mrs_01_1937__parmname101671928113718"><b><span id="mrs_01_1937__text1791432815554">Configure Resource </span>Permission</b></span>. For details, see <a href="#mrs_01_1937__t5dabb9a552a94c148817ff3e1e9997df">Table 1</a>.<ul id="mrs_01_1937__ua2bf10c6bffc4ad08b372a2eb0f6ff4b"><li id="mrs_01_1937__lf4d2adf24e05458ea07cc291a668365c"><span class="parmname" id="mrs_01_1937__p0271dc3f965a46b3bb02af9d5698ffbf"><b>Hive Admin Privilege</b></span>: Hive administrator permissions.</li><li id="mrs_01_1937__l73914a93d12940598477b134e9772e85"><span class="parmname" id="mrs_01_1937__p9b8718a20f2949a09c52047c8e8dc11d"><b>Hive Read Write Privileges</b></span>: Hive data table management permission, which is the operation permission to set and manage the data of created tables.<div class="note" id="mrs_01_1937__n5d7eaa8bc5cd4afcb4ef9508ca31cc19"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1937__uee10f77094b5492c8e8b56e83672aa8a"><li id="mrs_01_1937__l368334d07df64c4eae0b83b6cc854c1d">Hive role management supports the <span id="mrs_01_1937__ph65121816523">Hive </span>administrator permission, and the permissions of accessing tables and views, without granting the database permission.</li><li id="mrs_01_1937__l70e120ac0159485eb3924f37292d292a">The permissions of the Hive administrator do not include the permission to manage HDFS.</li><li id="mrs_01_1937__l9c408d029a294c73bc237a7288fe132f">If there are too many tables in the database or too many files in tables, the permission granting may last a while. For example, if a table contains 10,000 files, the permission granting lasts about 2 minutes.</li></ul>
+</div></div>
+
+<div class="tablenoborder"><a name="mrs_01_1937__t5dabb9a552a94c148817ff3e1e9997df"></a><a name="t5dabb9a552a94c148817ff3e1e9997df"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1937__t5dabb9a552a94c148817ff3e1e9997df" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Setting a role</caption><thead align="left"><tr id="mrs_01_1937__r6234f2cd87c647b2bf064a55d1a1a876"><th align="left" class="cellrowborder" valign="top" width="25.14%" id="mcps1.3.2.2.3.3.2.3.2.3.1.1"><p id="mrs_01_1937__a2e614ea3d0344020b5a69460102c9fa5">Task</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="74.86%" id="mcps1.3.2.2.3.3.2.3.2.3.1.2"><p id="mrs_01_1937__a92d14f474ddf48e5a110efe77a0fd4ba">Operation</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1937__r85674f0172764ab6972898535b53bc8d"><td class="cellrowborder" valign="top" width="25.14%" headers="mcps1.3.2.2.3.3.2.3.2.3.1.1 "><p id="mrs_01_1937__a64a94517509b424b9c9351eb9ae19c0b">Hive administrator permission</p>
+</td>
+<td class="cellrowborder" valign="top" width="74.86%" headers="mcps1.3.2.2.3.3.2.3.2.3.1.2 "><p id="mrs_01_1937__a1b812cd946174f8c9d383d642a65833d">In the <span class="parmname" id="mrs_01_1937__parmname16197648103811"><b><span id="mrs_01_1937__text1951111103310">Configure Resource </span>Permission</b></span> table, choose <em id="mrs_01_1937__i761021459112055">Name of the desired cluster</em> &gt; <strong id="mrs_01_1937__b296245663112055">Hive</strong> and select <span class="parmname" id="mrs_01_1937__p11c4e482b7fd43bba2ba5138eb9fcb46"><b>Hive Admin Privilege</b></span>.</p>
+<div class="p" id="mrs_01_1937__ac637a1891ca740dba1f7c8b82861b89b">After being bound to the Hive administrator role, perform the following operations during each maintenance operation:<ol type="a" id="mrs_01_1937__o476b19aa3fe44e788a73451c9a3f0edf"><li id="mrs_01_1937__l3f6b1013492f40c3afc022e4b0c11414">Log in to the node where the Spark2x client is installed as the client installation user.</li><li id="mrs_01_1937__la9e2050ed858424aae6292703a9f20c6">Run the following command to configure environment variables:<p id="mrs_01_1937__ae97e52f14530484aa85d5b7e1d8f6c76"><a name="mrs_01_1937__la9e2050ed858424aae6292703a9f20c6"></a><a name="la9e2050ed858424aae6292703a9f20c6"></a>For example, if the Spark2x client installation directory is <span class="filepath" id="mrs_01_1937__f8a303d1d5d9342c4ac3e2d98e99c4610"><b>/opt/client</b></span>, run <strong id="mrs_01_1937__b455017462422">source /opt/client/bigdata_env</strong>.</p>
+<p id="mrs_01_1937__p63206412501"><strong id="mrs_01_1937__b12881052174213">source /opt/client/Spark2x/component_env</strong></p>
+</li><li id="mrs_01_1937__la715ae8cdbde4444a1a92c469aebf54f">Run the following command to perform user authentication:<p id="mrs_01_1937__ae6741da5747b451389c3e93edf7341c3"><a name="mrs_01_1937__la715ae8cdbde4444a1a92c469aebf54f"></a><a name="la715ae8cdbde4444a1a92c469aebf54f"></a><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1937__cmdname21831294019">kinit</span></b></i> <i><span class="varname" id="mrs_01_1937__v1cc42cc6495045b7b189af4612e5e059">Hive service user</span></i></p>
+</li><li id="mrs_01_1937__l20c28a7c2eec42869d5ab27cc957e37d">Run the following command to log in to the client tool:<p id="mrs_01_1937__a4c9a4bbb76134d139b266340078c19f7"><a name="mrs_01_1937__l20c28a7c2eec42869d5ab27cc957e37d"></a><a name="l20c28a7c2eec42869d5ab27cc957e37d"></a><strong id="mrs_01_1937__b10887548181512">/opt/client/Spark2x/spark/bin/beeline -u "jdbc:hive2://&lt;zkNode1_IP&gt;:&lt;zkNode1_Port&gt;,&lt;zkNode2_IP&gt;:&lt;zkNode2_Port&gt;,&lt;zkNode3_IP&gt;:&lt;zkNode3_Port&gt;/;serviceDiscoveryMode=zooKeeper;zooKeeperNamespace=sparkthriftserver2x;user.principal=spark2x/hadoop.</strong><em id="mrs_01_1937__i16892204871519">&lt;system domain name&gt;</em><strong id="mrs_01_1937__b5869135291513">@</strong><em id="mrs_01_1937__i18872125271520">&lt;system domain name&gt;</em><strong id="mrs_01_1937__b15397816168">;saslQop=auth-conf;auth=KERBEROS;principal=spark2x/hadoop.</strong><em id="mrs_01_1937__i1954248201617">&lt;system domain name&gt;</em><strong id="mrs_01_1937__b318621291610">@</strong><em id="mrs_01_1937__i13189412121620">&lt;system domain name&gt;</em><strong id="mrs_01_1937__b191871012111618">;"</strong></p>
+<div class="note" id="mrs_01_1937__n08b8dfec09c74ff2a4570ff11fd1936b"><span class="notetitle"> NOTE: </span><div class="notebody"><ul id="mrs_01_1937__u796a53c4a0c74edc8226b507645f82ac"><li id="mrs_01_1937__ld5f86def574e4545a5256647dad0ac17"><span class="parmvalue" id="mrs_01_1937__p403b64716df4483fb8ab296426acc442"><b>&lt;zkNode1_IP&gt;:&lt;zkNode1_Port&gt;, &lt;zkNode2_IP&gt;:&lt;zkNode2_Port&gt;, &lt;zkNode3_IP&gt;:&lt;zkNode3_Port&gt;</b></span> indicates the ZooKeeper URL, for example, 192.168.81.37:2181,192.168.195.232:2181,192.168.169.84:2181.</li><li id="mrs_01_1937__l5ea26e65b2cb416ba815243e762a7871"><span class="parmvalue" id="mrs_01_1937__pfb233b58d8d441ee8d06a84ce066db45"><b>sparkthriftserver</b></span> indicates a ZooKeeper directory, from which a random TriftServer or ProxyThriftServer is connected by the client.</li><li id="mrs_01_1937__li118613311649">You can log in to Manager, choose <strong id="mrs_01_1937__b1473356737112055">System</strong> &gt; <strong id="mrs_01_1937__b111866962112055">Permission</strong> &gt; <strong id="mrs_01_1937__b507463264112055">Domain and Mutual Trust</strong>, and view the value of <strong id="mrs_01_1937__b1922109090112055">Local Domain</strong>, which is the current system domain name. <strong id="mrs_01_1937__b316959841112055">spark2x/hadoop.</strong>&lt;<em id="mrs_01_1937__i688141620112055">System domain name</em>&gt; is the username. All letters in the system domain name contained in the username are lowercase letters. For example, <strong id="mrs_01_1937__b988129214112055">Local Domain</strong> is set to <strong id="mrs_01_1937__b3421880112055">9427068F-6EFA-4833-B43E-60CB641E5B6C.COM</strong>, and the username is <strong id="mrs_01_1937__b1972829776112055">spark2x/hadoo.9427068f-6efa-4833-b43e-60cb641e5b6c.com</strong>.</li></ul>
+</div></div>
+</li><li id="mrs_01_1937__lcfc9d06dc3464c3fb54abf9cdab13109">Run the following command to update the administrator permissions:<p id="mrs_01_1937__a6648ef0d02bb441cbe974142036be71a"><a name="mrs_01_1937__lcfc9d06dc3464c3fb54abf9cdab13109"></a><a name="lcfc9d06dc3464c3fb54abf9cdab13109"></a><strong id="mrs_01_1937__b1894218321223">set role admin</strong><strong id="mrs_01_1937__b7634741144113">;</strong></p>
+</li></ol>
+</div>
+</td>
+</tr>
+<tr id="mrs_01_1937__ra6c634b448214dba8e42ef2b7fede0c7"><td class="cellrowborder" valign="top" width="25.14%" headers="mcps1.3.2.2.3.3.2.3.2.3.1.1 "><p id="mrs_01_1937__ac5e30918ce1f455fbe4c423843e4a3c7">Setting the permission to query a table of another user in the default database</p>
+</td>
+<td class="cellrowborder" valign="top" width="74.86%" headers="mcps1.3.2.2.3.3.2.3.2.3.1.2 "><ol type="a" id="mrs_01_1937__oc839faf8e0ff4b5d87fd7278305c3e27"><li id="mrs_01_1937__la556ffb541794365af310f320a39d12d">In the <span class="parmname" id="mrs_01_1937__parmname14961932193213"><b><span id="mrs_01_1937__text1222182413311">Configure Resource </span>Permission</b></span> table, choose <em id="mrs_01_1937__i1081896099112055">Name of the desired cluster</em> &gt; <strong id="mrs_01_1937__b1679612691112055">Hive</strong> &gt; <strong id="mrs_01_1937__b1370170041112055">Hive Read Write Privileges</strong>.</li><li id="mrs_01_1937__l32c6598a660c4c95a2ec08770b8ef766">Click the name of the specified database in the database list. Tables in the database are displayed.</li><li id="mrs_01_1937__le5ec51c981304a63a9808a8bd2ba629f">In the <span class="parmname" id="mrs_01_1937__pddc687dd053941a4931623a207f840c7"><b>Permission</b></span> column of the specified table, select <span class="parmname" id="mrs_01_1937__pcf7a98390d0449868ff41221ee9ae753"><b>SELECT</b></span>.</li></ol>
+</td>
+</tr>
+<tr id="mrs_01_1937__r0841b72272114e279ed2a70d6bcce8ae"><td class="cellrowborder" valign="top" width="25.14%" headers="mcps1.3.2.2.3.3.2.3.2.3.1.1 "><p id="mrs_01_1937__a10b6f02d328f4799858578caf3c38469">Setting the permission to import data to a table of another user in the default database</p>
+</td>
+<td class="cellrowborder" valign="top" width="74.86%" headers="mcps1.3.2.2.3.3.2.3.2.3.1.2 "><ol type="a" id="mrs_01_1937__o392a14d40b1041c3bb845c079606a1bb"><li id="mrs_01_1937__l8684fcd214c24a03b2a48a6c8cae3fcc">In the <span class="parmname" id="mrs_01_1937__pc7ea9fa3dbb84dfcb1e99ea017efd41c"><b><span id="mrs_01_1937__text3792123110334">Configure Resource </span>Permission</b></span> table, choose <em id="mrs_01_1937__i1904638285112055">Name of the desired cluster</em> &gt; <strong id="mrs_01_1937__b2039289644112055">Hive</strong> &gt; <strong id="mrs_01_1937__b1312700853112055">Hive Read Write Privileges</strong>.</li><li id="mrs_01_1937__l2303a3c7ffb84d1791668d0d9f0014dc">Click the name of the specified database in the database list. Tables in the database are displayed.</li><li id="mrs_01_1937__l69e315d925114e77a64fd0ed17207cc9">In the <span class="parmname" id="mrs_01_1937__paa8f70e1337b47888fae18dfd3f34295"><b>Permission</b></span> column of the specified table, select <span class="parmname" id="mrs_01_1937__pba1baef2fbf2430b81ff7a626a07e56f"><b>DELETE</b></span> and <span class="parmname" id="mrs_01_1937__p57d5c6ed31d241b4ac42876988fdd48d"><b>INSERT</b></span>.</li></ol>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+</li><li id="mrs_01_1937__l2a9c8341bc76439db2f32e0f7e7078cd">Click <span class="parmname" id="mrs_01_1937__pcd738567cf96452dbb760f83ce087833"><b>OK</b></span>.</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1935.html">SparkSQL Permission Management(Security Mode)</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1938"></a><a name="mrs_01_1938"></a>
+
+<h1 class="topictitle1">Configuring Permissions for SparkSQL Tables, Columns, and Databases</h1>
+<div id="body1595920205998"><div class="section" id="mrs_01_1938__saaf2f16ec55d477eb6fd53a48acc5c4c"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1938__a6b61ae9765ac4d29ade3a458980c4413">You can configure related permissions if you need to access tables or databases created by other users. SparkSQL supports column-based permission control. If a user needs to access some columns in tables created by other users, the user must be granted the permission for columns. The following describes how to grant table, column, and database permissions to users by using the role management function of Manager.</p>
+</div>
+<div class="section" id="mrs_01_1938__sc2b75a72888a47b59b149506b14cc1c8"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1938__a74194a34a0f5441bb3aaa81b12e821d7">The operations for granting permissions on SparkSQL tables, columns, and databases are the same as those for Hive. For details, see <a href="mrs_01_0947.html">Permission Management</a>.</p>
+<div class="note" id="mrs_01_1938__n06ad07346c3b488bad366fe5804d83e6"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1938__u56d6ae4edce44088a89e34c24137d720"><li id="mrs_01_1938__l40ad0b88284a452d809b7bc7e44032b1">Any permission for a table in the database is automatically associated with the HDFS permission for the database directory to facilitate permission management. When any permission for a table is canceled, the system does not automatically cancel the HDFS permission for the database directory to ensure performance. In this case, users can only log in to the database and view table names.</li><li id="mrs_01_1938__l3f65da6bedd744018bd5f8dc0e8b8aa7">When the query permission on a database is added to or deleted from a role, the query permission on tables in the database is automatically added to or deleted from the role. This mechanism is inherited from Hive.</li><li id="mrs_01_1938__l574478c3c0224b9cbd305e5b60c74aa6">In Spark, the column name of the struct data type cannot contain special characters, that is, characters other than letters, digits, and underscores (_). If the column name of the struct data type contains special characters, the column cannot be displayed on the FusionInsight Manager console when you grant permissions to roles on the role page.</li></ul>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1938__s070d077657874aeb829c369071e3c9cc"><h4 class="sectiontitle">Concepts</h4><p id="mrs_01_1938__adad18e37dd4243d499f26108be136291">SparkSQL statements are processed in SparkSQL. <a href="#mrs_01_1938__t0bcf1848ac034e8bb3ecf10c679df1ed">Table 1</a> describes the permission requirements.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1938__t0bcf1848ac034e8bb3ecf10c679df1ed"></a><a name="t0bcf1848ac034e8bb3ecf10c679df1ed"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1938__t0bcf1848ac034e8bb3ecf10c679df1ed" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Scenarios of using SparkSQL tables, columns, or databases</caption><thead align="left"><tr id="mrs_01_1938__r555c4880002b476f8da2d435f5de6a1f"><th align="left" class="cellrowborder" valign="top" width="35.15%" id="mcps1.3.3.3.2.3.1.1"><p id="mrs_01_1938__a25f6aca8b0d648608c229731d5e3881a"><strong id="mrs_01_1938__acf07dde86422412bb71a42454a76675e">Scenario</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="64.85%" id="mcps1.3.3.3.2.3.1.2"><p id="mrs_01_1938__afc561411dd334f4c8a38ca00a671e195"><strong id="mrs_01_1938__a563d99f48a744a28aa1bd6196d25a916">Required Permission</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1938__r0dd108914f1b43b58acd7d38176a1cbf"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__a3d963c3573734cadb6960f87ce54f29f">CREATE TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__a5e0593454abe48e8b8dd6e93a529e335"><span class="parmvalue" id="mrs_01_1938__pd618dd84a880483898baab71cdfcc7e7"><b>CREATE</b></span>, RWX+ownership (for creating external tables - the location)</p>
+<div class="note" id="mrs_01_1938__n18c5c8e94479415281c49da56e677ea1"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1938__ae8a5831faf0a4e8c84a141ee84e05334">When creating datasource tables in a specified file path, the RWX and ownership permission on the file next to the path is required.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1938__r0652a1339f5a4c44a4f62da0025a0f34"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__a75b68800c9dd422a8a7f04c380709d9a">DROP TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__a1a514fa3b3854905803ab7a796fa82a5"><span class="parmname" id="mrs_01_1938__p21cf23cdfa5b4cc2a86fa9ee759c84a4"><b>Ownership</b></span> (of table)</p>
+</td>
+</tr>
+<tr id="mrs_01_1938__r298d73d39aca4c1dbf12a2b4f2d24a7c"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__a66e789d1fbaa482189b450584e128cd7">DROP TABLE PROPERTIES</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__a31ec93e5a5804ae1ba5ef5d6f6193401"><span class="parmname" id="mrs_01_1938__p53083256ec86401696a21115b8de7ada"><b>Ownership</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__r0e4c5c45e1224792a0837b0a454e7e97"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__a884043f7d867420ea1277bf2124fdb64">DESCRIBE TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__a9bf092e0bd244cb1a6b6ccb5a1e4e32f"><span class="parmname" id="mrs_01_1938__parmname1889283418492"><b>Select</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__rff0f27d785eb4137baed2a6d7c4afdd8"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__aed62b5f0abe0406888fe4d069c296e99">SHOW PARTITIONS</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__a9e8e170989aa4834881a752fab2ee556"><span class="parmname" id="mrs_01_1938__p01d863a535bb436d9b969fb4c0057b79"><b>Select</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__r069fba4a34d04c95ae9eb3e3bf07db4c"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__aeb4a929a8a0c413faa3b5e387dcf6069">ALTER TABLE LOCATION</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__a3059a2f5ff024341a686523211470ebf"><span class="parmname" id="mrs_01_1938__pa07b0763f9ec4cc08786bcb5c7f68f05"><b>Ownership</b></span>, RWX+ownership (for new location)</p>
+</td>
+</tr>
+<tr id="mrs_01_1938__rd3d8f2f95778432aafb25a592498bd43"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__a396d9243a6964b56b8ef1fa87b42d365">ALTER PARTITION LOCATION</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__acd6e9190c32c4c68b0e934d91450bdd6"><span class="parmname" id="mrs_01_1938__p1e3d4c3c2ffb4586ba52e70117294dff"><b>Ownership</b></span>, RWX+ownership (for new partition location)</p>
+</td>
+</tr>
+<tr id="mrs_01_1938__r7b04927d00ab4ccd94169c4caaaab7b7"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__a4161885019804fc2b21afe67510ac7f0">ALTER TABLE ADD PARTITION</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__ab5ac16c079704f148249ca60056c3860"><span class="parmname" id="mrs_01_1938__pe197a70b3372478d9e971de01511cff7"><b>Insert</b></span>, RWX and ownership (for partition location)</p>
+</td>
+</tr>
+<tr id="mrs_01_1938__rde5c0a06221e420cb1be4f1ba5e274a7"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__a89a284ee503c472a9387632ae4e5a430">ALTER TABLE DROP PARTITION</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__a7919e7e571af4c24a7e1a2e66d1e422c"><span class="parmname" id="mrs_01_1938__pdb3fa680801e41c788b9e2048849da1a"><b>Delete</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__r501ac592abc1436abca62a6aa0941d6c"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__a4da4dea0e47f4511aa5671da97c119ec">ALTER TABLE(all of them except the ones above)</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__ae59c8e08245c4ae1a97ed32d2aacb8ca"><span class="parmname" id="mrs_01_1938__pfd881cf6ef5f47ebb72d5845e6654541"><b>Update</b></span>, <span class="parmname" id="mrs_01_1938__p5a0e661ca0c342769d27f3a379d56af2"><b>Ownership</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__r5be60fdc7aae4f75b6f3b4163c45f205"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__ab2a82c0d9b2644288df1b975ec1a52d1">TRUNCATE TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__a637c094ac51d4aa695af2223296a9e86"><span class="parmname" id="mrs_01_1938__pa41e521df25541ac8a07cbf1c19071ee"><b>Ownership</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__r0583f41fb580413d9cd9d218db7eed3e"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__aabd6476a72aa43f1818759db5a2ceaf8">CREATE VIEW</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__aee065184bf2f40b9aaed3a0f4d238120"><span class="parmname" id="mrs_01_1938__pd9aa4dbc56604fa2b142c38ee29cb2ab"><b>Select</b></span>, <span class="parmname" id="mrs_01_1938__pec232f970e6340b894296679f5f8f0d7"><b>Grant Of Select</b></span>, <span class="parmvalue" id="mrs_01_1938__p6bafa95efb9648aeb4674427ce21c36b"><b>CREATE</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__r51008f9022764516a33df25638b47f2f"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__a9f27732ad6bb4e0295d51dfbc3e5cbef">ALTER VIEW PROPERTIES</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__a1f03b32cfb474b459fef77980c0c1dae"><span class="parmname" id="mrs_01_1938__p72e9f7db699448d293869dc73c50f70a"><b>Ownership</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__rc0ecb0c9ef9248a5a660f3e555f8859b"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__a54a735ad96ed4839b53306c30b7aacf7">ALTER VIEW RENAME</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__a843830d7bf1e4c11a2120ba156ce2c21"><span class="parmname" id="mrs_01_1938__p5dde81de570e4c9b9f6903bba8e0f242"><b>Ownership</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__r5108c6edf4cf443c9ae3c71291544335"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__a8b651c49ce5847f680433c8c5e7ca67a">ALTER VIEW ADD PARTS</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__a6e9f85a8377f47e6b9cbfd223d4b0e0c"><span class="parmname" id="mrs_01_1938__p47f37234e77c42ac8b0b0280ffd6646b"><b>Ownership</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__r726db15fc9fd4ab1afec3b4507413720"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__ac5d9bc1d1b984ddf92cac28634656c92">ALTER VIEW AS</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__a7a0cbb0e03784b26827829e3075e0414"><span class="parmname" id="mrs_01_1938__p76b3a8c4ed1642e28c3319b87105d7b7"><b>Ownership</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__rb56458933a74464eb0a28f76e3b42604"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__ad55a870ad86c43b3860a9ad3802338f8">ALTER VIEW DROPPARTS</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__a7f976ca46e0b40078ee46c156ad36dc3"><span class="parmname" id="mrs_01_1938__p566a00b9fb9d40f7b456aa9cdb9beb7b"><b>Ownership</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__r0b759ba0cfd2456db94d8682fad63989"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__aeae1ca950555442c960a07d5fede48ac">ANALYZE TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__adaf099e6fde6436b8b1eeaf0fb5c4e89"><span class="parmname" id="mrs_01_1938__p703d9df2dcbd4d4498d70657c7ba8d47"><b>Search</b></span><span id="mrs_01_1938__p4fbeb38ec15e4ebca366643cf2d5990d">, </span><span class="parmname" id="mrs_01_1938__p038d4dfcea464fcfafbb4340699cfbb0"><b>Insert</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__r47c9be92eb6d4971bcb5b7990aa320f3"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__a9f7a1578ffbf4ca2bacfaf6e4a3c6900">SHOW COLUMNS</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__af6d14d06766d47a397498ce2ae07f695"><span class="parmname" id="mrs_01_1938__p9cbee65e37a941cdab1c2883e19ffd8c"><b>Select</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__r8fbb8219a4f640e19198af765cd2fb0d"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__ab8051458f57c4637866be4567e58c447">SHOW TABLE PROPERTIES</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__a325c145724d04c19b8e1433ce1b40259"><span class="parmname" id="mrs_01_1938__p2d0640c5b704412a89d1bd0cc0475f3c"><b>Select</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__rc0dbda6a98494633aa8f8ebf06ad99cc"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__aebe9ba9705954a1ca28303366bb82d6c">CREATE TABLE AS SELECT</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__a4ba51d83abec46d6bbd240e8b577c3aa"><span class="parmname" id="mrs_01_1938__p5e68b178e2d044fda5d951cd14cc12a9"><b>Select</b></span><span id="mrs_01_1938__p6372e66375bd4ae893e7f4dd07346498">, </span><span class="parmname" id="mrs_01_1938__peb0ea694d4ce4ea1b0cff7bc1b23844a"><b>CREATE</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__rcc146569ea4b45c6a5df1a9a498db7e6"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__a2e79be57b8aa442588cf21e131d7ebb1">SELECT</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__ae193ec05b18b42868e4388bd280ef57f"><span class="parmname" id="mrs_01_1938__parmname694701115510"><b>Select</b></span></p>
+<div class="note" id="mrs_01_1938__nd040d2e0744946c08bca5a0b816599ea"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1938__ab4507a7b9a3147d1b9fad67d05db88e5">The same as tables, you need to have the <span class="parmname" id="mrs_01_1938__pff51ec7aec664d9dae707c69251ffb98"><b>Select</b></span> permission on a view when performing a SELECT operation on the view.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1938__r6cb0b0e7224a448fb31b53b2627fdf32"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__a3f648050efa643f18f687d35297c2a13">INSERT</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__afc2e1e6be55e4daea58005ea636cd8c7"><span class="parmname" id="mrs_01_1938__p357b754c49ee49eeacdf2db10a870b47"><b>Insert</b></span><span id="mrs_01_1938__p6ee59afca07c409eb4683f5426452d13">, </span><span class="parmname" id="mrs_01_1938__pa893f435fa254961b80cff990f330783"><b>Delete (for overwrite)</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__r6a004031b4d24bb0b7df73024f27ff5b"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__a881a042d479a4557870dcad70d32fd5f">LOAD</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__abdac113b52764b81883ac65dc233806d"><span class="parmname" id="mrs_01_1938__p94347573b6334052b93bc09b8479cdd3"><b>Insert</b></span><span id="mrs_01_1938__p2c0d3c76d8d5464597b6b11c7cd9ffd7">, </span><span class="parmname" id="mrs_01_1938__p420e1912c32748759f17ec322f63910a"><b>Delete</b></span>, RWX+ownership(input location)</p>
+</td>
+</tr>
+<tr id="mrs_01_1938__r4c9062fc6e0f4da0946deb91493a8b4c"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__a90b42621d33d405fb6e5c42a2ed3b820">SHOW CREATE TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__afdd2aaf7f23148b49cfccfa3b0a5f5c6"><span class="parmname" id="mrs_01_1938__pdbb6681dcec749e5a6e078489a609450"><b>Select</b></span>, <span class="parmname" id="mrs_01_1938__pce8169ec6a9447a0b4f21bdfb94c752a"><b>Grant Of Select</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__r7a08c901d0054753ae2cb1b6380f9bcd"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__a72c30054d5774c65b1f23bcd337b4c27">CREATE FUNCTION</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__a0115d91ef55645e08c9c3ff8287d4df7"><span class="parmname" id="mrs_01_1938__p2da4cefa3eb44dadb50a69a4e8c3c77a"><b>ADMIN</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__rfd18ed9624e9496c810e26860f33006f"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__ad9e3762318714c5c899de333d85d5d67">DROP FUNCTION</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__a455815ead75c4c36a883e4d85212cbf6"><span class="parmname" id="mrs_01_1938__p6b1d758f2ffe4e439d146f78faba0491"><b>ADMIN</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__rff1067811b4a4609b9b0b0ea24b38dc3"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__a70b614f1b95742668dd22bd3e2b49979">DESC FUNCTION</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__aef77e2d2ccb747db9d9813f098be49ae"><span id="mrs_01_1938__pcf352a6989334c77986fc2e2ffdcf7de">-</span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__r44f4c7c6211245a7baf5ea7023000898"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__a9e06941268074c4fb35432488e654451">SHOW FUNCTIONS</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__a193c86e8515c47bd9aa17dcab22e5026"><span id="mrs_01_1938__p493d6025112a458ca32bac988a2584e9">-</span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__r236db8d8487240aa866e6a1d6d449fc1"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__ad02c8e786ae243899c3f8fe45d8b342a">MSCK (metastore check)</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__a9fb91e46abf545baa3f089fd6ca55f2f"><span class="parmname" id="mrs_01_1938__p16cccebc115d47b29a649965014ba94c"><b>Ownership</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__r2ccde84aebaf45b1bf6bd8d88772bdb8"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__ac70172b3a9d34332884333b27f9cabb9">ALTER DATABASE</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__af10fe4c128be4424838fd76bd713b5c8"><span class="parmname" id="mrs_01_1938__parmname193166152592"><b>ADMIN</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__rbb594670f7d74448b287066e97611637"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__a258f603517054723be4d2450a48bd572">CREATE DATABASE</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__afe955cbcb5f04ba9a9cb8ccc50306246"><span id="mrs_01_1938__p9f7818ee35fc452ba287c80d41f2de00">-</span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__r9434b70552704025bc7f33195d9fdd2b"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__a8919b23a00824982bc58a0adb69e3564">SHOW DATABASES</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__a6b76a66b026c474b92374684234bc3c7"><span id="mrs_01_1938__p7d684b28fb964cf0b2d4fe373de4af3e">-</span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__r50810e58f4994186b99832682eede6c3"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__acf754c5eb5ab486fa5c3c30ec0c5fe0b">EXPLAIN</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__a1468fae8ac93450abf49420c02d0f098"><span class="parmname" id="mrs_01_1938__parmname13164151713599"><b>Select</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__rf933b823e5654e98b2ba62e69fc7d073"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__a7d41eba1fff74c959e3488dc954a952b">DROP DATABASE</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__aaa523aa785d7443a9b25b0e2747fc2f1"><span class="parmname" id="mrs_01_1938__pf6a668f6d46947b597e03b9fe83ae05d"><b>Ownership</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__r0d0e2c3460004edc90372783b70a3073"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__a84803a085ecb48c8b15b347d1345eb0c">DESC DATABASE</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__a675fb2182c2046a5b33603379804c13a"><span id="mrs_01_1938__p4e588fdec0484390a3d69f4de994db91">-</span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__r9e3e8e84e2d8417988345c041dbb4a23"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__a62a27e2a1df9450c962b0643b82eb8b9">CACHE TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__a2daed9a7a89c448eab3d0cf28ebc8aed"><span class="parmname" id="mrs_01_1938__parmname183601818592"><b>Select</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__ra3d6eb8b8887418488b92dcf85b17a98"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__ac15ba9553de74d32b77f2586c7628d45">UNCACHE TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__a408c9ec8c6624d519a970dbacc631562"><span class="parmname" id="mrs_01_1938__parmname7996182120593"><b>Select</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__rfc537d8367954d48815a9b6f0d0aa9b7"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__a56fdb7ec2e224282b2bd58093a1a8b18">CLEAR CACHE TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__a35a815e9aef4443e9517e399684225c1"><span class="parmname" id="mrs_01_1938__parmname18524102535918"><b>ADMIN</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__rbe6ff0c1a6f14218b85935772216c57e"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__a370b4aeb7c1f4b078647914d93e3d291">REFRESH TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__a324432632f4d44848966d37d9786301d"><span class="parmname" id="mrs_01_1938__parmname8532182714590"><b>Select</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__rbc5afd26bf08434aa38824eb703194b6"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__a4dc29d9f871341ac9a3ac221fed1695e">ADD FILE</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__a612bfc1d91624c0a9474fac279daa614"><span class="parmname" id="mrs_01_1938__parmname9716122917595"><b>ADMIN</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__rb8905299932b4c26a0dfe93709fcd507"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__ae440b1b766994a1b84e8f9f8bde34241">ADD JAR</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__a9a976741b22e4a5485e448e93d3585ab"><span class="parmname" id="mrs_01_1938__parmname784543112593"><b>ADMIN</b></span></p>
+</td>
+</tr>
+<tr id="mrs_01_1938__ra13f5e6674694945aded2d28ee19a84e"><td class="cellrowborder" valign="top" width="35.15%" headers="mcps1.3.3.3.2.3.1.1 "><p id="mrs_01_1938__a60756baaadae4e9fa83be130ebc41a5d">HEALTHCHECK</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.85%" headers="mcps1.3.3.3.2.3.1.2 "><p id="mrs_01_1938__a16e34007775b4877855a563da69e6129">-</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1935.html">SparkSQL Permission Management(Security Mode)</a></div>
+</div>
+</div>
+
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+
+<h1 class="topictitle1">Configuring Permissions for SparkSQL to Use Other Components</h1>
+<div id="body1595920206236"><div class="section" id="mrs_01_1939__s2f5b2ba3a809410e8d6b89bb7034e8a6"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1939__a190935ede0064f1eb635dc8455540ba6">SparkSQL may need to be associated with other components. For example, Spark on HBase requires HBase permissions. The following describes how to associate SparkSQL with HBase.</p>
+</div>
+<div class="section" id="mrs_01_1939__s747737774cbf4cbca381b53cf54e93e7"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_1939__u6615cfa93d6342e1a1e9149ec4e344c5"><li id="mrs_01_1939__lbbdc2dd0ee434779b0087db3a91b2e8a">The Spark client has been installed. For example, the installation directory is <strong id="mrs_01_1939__b568912555316">/opt</strong><strong id="mrs_01_1939__b3689175523117"></strong><strong id="mrs_01_1939__b968917557311">/client</strong>.</li><li id="mrs_01_1939__lf61cee0e0ab444b0965fd4d828ca6d07">You have obtained a user account with the <span id="mrs_01_1939__ph533920514111">system </span>administrator permissions, such as <span class="parmname" id="mrs_01_1939__p1a12c340e4ce4868bbd56ef6634e2045"><b>admin</b></span>.</li></ul>
+</div>
+<div class="section" id="mrs_01_1939__s61062a0cf1304ac685fac634d4b5466d"><h4 class="sectiontitle">Procedure</h4><ul id="mrs_01_1939__u1711213e9ce645dd8ea8815ec9af733e"><li id="mrs_01_1939__la23f144a3e4e4049a217cf02b47b08c6"><strong id="mrs_01_1939__adbfe1c93f63e470b8a0574b9907cf830">Spark on HBase authorization</strong><p id="mrs_01_1939__af8eee67327f14c1381ba294e990ec18e">After the permissions are assigned, you can use statements that are similar to SQL statements to access HBase tables from SparkSQL. The following uses the procedure for assigning a user the permissions to query HBase tables as an example.</p>
+<div class="note" id="mrs_01_1939__n1b31ee3b74914d91bf778ff89357cb9b"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1939__af204aac45a6d4adeb4b912de2564821d">Set <span class="parmname" id="mrs_01_1939__pa06641bd3dcf4de8a4fbdc981bb52a15"><b>spark.yarn.security.credentials.hbase.enabled</b></span> to <span class="parmvalue" id="mrs_01_1939__pdf86a1183cea48ba8b1dd0d5a1712e99"><b>true</b></span>.</p>
+</div></div>
+<ol id="mrs_01_1939__oc4aafe3871c84587986e9172cb17fcac"><li id="mrs_01_1939__l38d34de0ce8941d98aa9a47964b8ef6c">On Manager, create a role, for example, <span class="parmname" id="mrs_01_1939__pc521f844b00e4cfbba95da433b8e6efb"><b>hive_hbase_create</b></span>, and grant the permission to create HBase tables to the role.<p id="mrs_01_1939__a5e26d905293d472eb489835e9c3122bb">In the <strong id="mrs_01_1939__b856023254113138">Configure Resource Permission</strong> table, choose <em id="mrs_01_1939__i1029615744113138">Name of the desired cluster</em> &gt; <strong id="mrs_01_1939__b9606142015519">HBase </strong>&gt; <strong id="mrs_01_1939__b5633224859">HBase Scope</strong> &gt; <strong id="mrs_01_1939__b161861428851">global</strong>. Select <span class="parmname" id="mrs_01_1939__p4169e2d6d9104c5986f90e3d30e4fbd0"><b><span id="mrs_01_1939__text6782154216110">create</span></b></span> of the namespace <span class="parmname" id="mrs_01_1939__p9f191be364fd47e39bba9367b38f86b5"><b>default</b></span>, and click <span class="uicontrol" id="mrs_01_1939__u155141d880c64bbda0a21092a679ebed"><b>OK</b></span>.</p>
+<div class="note" id="mrs_01_1939__n9b2be0e7b03d465f80812062cfd826db"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1939__a090c2fa074bb4465896fdd4e2b5aca77">In this example, the created table is saved in the default database of Hive and has the CREATE permission of the default database. If you save the table to a Hive database other than <strong id="mrs_01_1939__b24904175113138">default</strong>, perform the following operations:</p>
+<p id="mrs_01_1939__ab358a876fedb4b12a30f01f8a8387afc">In the <strong id="mrs_01_1939__b1842179320113138">Configure Resource Permission</strong> table, choose <em id="mrs_01_1939__i227048684113138">Name of the desired cluster</em> &gt; <strong id="mrs_01_1939__b1311560590113138">Hive</strong> &gt; <strong id="mrs_01_1939__b538147614113138">Hive Read Write Privileges</strong>, select <strong id="mrs_01_1939__b641694024113138">CREATE</strong> for the desired database, and click <strong id="mrs_01_1939__b1746804351113138">OK</strong>.</p>
+</div></div>
+</li><li id="mrs_01_1939__laf7f09eb9dbb4b3e9ef44c4b609dd606">On Manager, create a role, for example, <span class="parmname" id="mrs_01_1939__pcc2d81b23e624e69a5e39fb528767fa9"><b>hive_hbase_submit</b></span>, and grant the permission to submit tasks to the Yarn queue.<p id="mrs_01_1939__a00ef07703ede4e37879c8d30e7817a6c">In the <strong id="mrs_01_1939__b1552450634113138">Configure Resource Permission</strong> table, choose <em id="mrs_01_1939__i313772369113138">Name of the desired cluster</em> &gt; <strong id="mrs_01_1939__b591916546117">Yarn </strong>&gt; <strong id="mrs_01_1939__b391017599118">Scheduling Queue</strong> &gt; <strong id="mrs_01_1939__b44531985210">root</strong>. Select <span class="parmname" id="mrs_01_1939__p941de87003bc4e38b9397157743f57d2"><b><span id="mrs_01_1939__text9551124791610">Submit</span></b></span> of <span class="parmname" id="mrs_01_1939__pf253f6ce4f754e09ba887a67fa002981"><b>default</b></span>, and click <span class="uicontrol" id="mrs_01_1939__u71fa1f9bc66c4801af808e4d57bf5730"><b>OK</b></span>.</p>
+</li><li id="mrs_01_1939__le40e88e4cd834abb99357b8a389d98db">On Manager, create a human-machine user, for example, <span class="parmname" id="mrs_01_1939__p1140d70c064b42409a5716ff5d7b1d57"><b>hbase_creates_user</b></span>, add the user to the <span class="parmname" id="mrs_01_1939__p99ea14ccfbf94ae6a9254535cb4c1ab5"><b>hive</b></span> group, and bind the <span class="parmname" id="mrs_01_1939__pab9bf514c6d248179593868e6192eb73"><b>hive_hbase_create</b></span> and <span class="parmname" id="mrs_01_1939__p5f3e67a6ebbb41c8812e5af7d19322e8"><b>hive_hbase_submit</b></span> roles to create SparkSQL and HBase tables.</li><li id="mrs_01_1939__lf9cb962670d548d98c7a6880e607cbab">Log in to the node where the client is installed as the client installation user.</li><li id="mrs_01_1939__l7428aeb2f3b84441861aff7de706e399">Run the following command to configure environment variables:<p id="mrs_01_1939__ab614ac1a6db747f6b57b43ac4bd1c817"><a name="mrs_01_1939__l7428aeb2f3b84441861aff7de706e399"></a><a name="l7428aeb2f3b84441861aff7de706e399"></a><strong id="mrs_01_1939__b185133421419">source /opt/client/bigdata_env</strong></p>
+<p id="mrs_01_1939__p72418224267"><strong id="mrs_01_1939__b220554912436">source /opt/client/Spark2x/component_env</strong></p>
+</li><li id="mrs_01_1939__l6de3616c11ab46629f935658a3ece580">Run the following command to authenticate the user:<p id="mrs_01_1939__abaa7a300f26b461f8bcd310cc93c5376"><a name="mrs_01_1939__l6de3616c11ab46629f935658a3ece580"></a><a name="l6de3616c11ab46629f935658a3ece580"></a><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1939__c613cf506eb254af6b94e1f16d50ff42f">kinit hbase_creates_user</span></b></i></p>
+</li><li id="mrs_01_1939__l64eb8cce531443dd8d750e488b490d13">Run the following commands to enter the shell environment on the Spark JDBCServer client:<p id="mrs_01_1939__a9cdb46cf905c48a4a9a99c24158d76f0"><a name="mrs_01_1939__l64eb8cce531443dd8d750e488b490d13"></a><a name="l64eb8cce531443dd8d750e488b490d13"></a><strong id="mrs_01_1939__b8163225195">/opt/client/Spark2x/spark/bin/beeline -u "jdbc:hive2://&lt;zkNode1_IP&gt;:&lt;zkNode1_Port&gt;,&lt;zkNode2_IP&gt;:&lt;zkNode2_Port&gt;,&lt;zkNode3_IP&gt;:&lt;zkNode3_Port&gt;/;serviceDiscoveryMode=zooKeeper;zooKeeperNamespace=sparkthriftserver2x;user.principal=spark2x/hadoop.</strong><em id="mrs_01_1939__i131684213195">&lt;system domain name&gt;</em><strong id="mrs_01_1939__b176974681915">@</strong><em id="mrs_01_1939__i67007671914">&lt;system domain name&gt;</em><strong id="mrs_01_1939__b17925181618191">;saslQop=auth-conf;auth=KERBEROS;principal=spark2x/hadoop.</strong><em id="mrs_01_1939__i69271816171914">&lt;system domain name&gt;</em><strong id="mrs_01_1939__b589211192195">@</strong><em id="mrs_01_1939__i188951219191910">&lt;system domain name&gt;</em><strong id="mrs_01_1939__b10892319191919">;"</strong></p>
+</li><li id="mrs_01_1939__l49794413abc148a583774adb7ed1197c">Run the following command to create a table in SparkSQL and HBase, for example, create the <strong id="mrs_01_1939__b1550677365113138">hbaseTable</strong> table:<p id="mrs_01_1939__aa7ee96d7a98d402fa86cc715e6f32599"><strong id="mrs_01_1939__b7797193518514">create table hbaseTable (id string, name string, age int) using org.apache.spark.sql.hbase.HBaseSource options (hbaseTableName "table1", keyCols "id", colsMapping = ", name=cf1.cq1, age=cf1.cq2");</strong></p>
+<p id="mrs_01_1939__ab308900953f94e39a6d8d0e4685b83d5">The created SparkSQL table and the HBase table are stored in the Hive database <span class="parmname" id="mrs_01_1939__p859f13cbc4714fafb2cbd72289c4e1e3"><b>default</b></span> and the HBase namespace <span class="parmname" id="mrs_01_1939__pdfe8b87ee590445ca71a69f9eab85bbd"><b>default</b></span>, respectively.</p>
+</li><li id="mrs_01_1939__l24bed30b407047fcab0e46cd91ec75ed">On Manager, create a role, for example, <span class="parmname" id="mrs_01_1939__p780e6a344e35424cb3c1fe340846e91c"><b>hive_hbase_select</b></span>, and grant the role the permission to query SparkSQL on HBase table <strong id="mrs_01_1939__b1879514361716">hbaseTable</strong> and HBase table <strong id="mrs_01_1939__b2798123614717">hbaseTable</strong>.<ul id="mrs_01_1939__u77d3e6afb3174307a3f07b3048192994"><li id="mrs_01_1939__leab9eb5ada234445943410f4bd6bf081">In the <strong id="mrs_01_1939__b1720622640113138">Configure Resource Permission</strong> table, choose <em id="mrs_01_1939__i702979975113138">Name of the desired cluster</em> &gt; <strong id="mrs_01_1939__b802778653113138">HBase </strong>&gt; <strong id="mrs_01_1939__b611911611113138">HBase Scope</strong> &gt; <strong id="mrs_01_1939__b907309594113138">global </strong>&gt; <strong id="mrs_01_1939__b731109880113138">default</strong>. Select <span class="parmname" id="mrs_01_1939__pdd486766cf8e4e9abd164c6f4fac8c4c"><b><span id="mrs_01_1939__text4929141391718">read</span></b></span> for the <strong id="mrs_01_1939__b594960798113138">hbaseTable</strong> table, and click <span class="uicontrol" id="mrs_01_1939__uicontrol921125704113138"><b>OK</b></span> to grant the table query permission to the HBase role.</li><li id="mrs_01_1939__lacf6986ebcf048628784f3193af59bc2">Edit the role. In the <strong id="mrs_01_1939__b1758388872113138">Configure Resource Permission</strong> table, choose <em id="mrs_01_1939__i504792084113138">Name of the desired cluster</em> &gt; <strong id="mrs_01_1939__b4677192416118">HBase </strong>&gt; <strong id="mrs_01_1939__b19191129151119">HBase Scope </strong>&gt; <strong id="mrs_01_1939__b7972330181113">global </strong>&gt; <strong id="mrs_01_1939__b839743231112">hbase</strong>. Select <span class="parmname" id="mrs_01_1939__pf6bd0f7359784fa69c5e8560301fdc1e"><b><span id="mrs_01_1939__text14582111915175">Execute</span></b></span> for <span class="parmname" id="mrs_01_1939__p28cbbb5fd3dd43de903123cf097a26fa"><b>hbase:meta</b></span>, and click <span class="uicontrol" id="mrs_01_1939__u65b10f650f304fc3a56cbabf6554e79f"><b>OK</b></span>.</li><li id="mrs_01_1939__lc020734a19fa49d38fad2aacef40e88e">Edit the role. In the <strong id="mrs_01_1939__b947741115113138">Configure Resource Permission</strong> table, choose <em id="mrs_01_1939__i374743790113138">Name of the desired cluster</em> &gt; <strong id="mrs_01_1939__b2112634636113138">Hive </strong>&gt; <strong id="mrs_01_1939__b2085444294113138">Hive<span id="mrs_01_1939__text4652633104618"> Read Write Privileges</span></strong> &gt; <strong id="mrs_01_1939__b795778125113138">default</strong>. Select <span class="parmname" id="mrs_01_1939__peb94b137dc85440b91b8586a4b5d336b"><b>SELECT</b></span> for the <strong id="mrs_01_1939__b343982158113138">hbaseTable</strong> table, and click <span class="uicontrol" id="mrs_01_1939__ucaedd78144094641995b6413514cb241"><b>OK</b></span>.</li></ul>
+</li><li id="mrs_01_1939__l04613440fb204a1fa017b8d65637fc98">On Manager, create a human-machine user, for example, <span class="parmname" id="mrs_01_1939__p954666859d2841f1a6f5616ae89f8fa1"><b>hbase_select_user</b></span>, add the user to the <span class="parmname" id="mrs_01_1939__p0340ee53389b44f389d8fc984dcb210a"><b>hive</b></span> group, and bind the <span class="parmname" id="mrs_01_1939__p9015726bce67413b90cf483bf9c1b4d1"><b>hive_hbase_select</b></span> role to the user for querying SparkSQL and HBase tables.</li><li id="mrs_01_1939__la752534c14164c25b2a4157b0e1ea6f4">Run the following command to configure environment variables:<p id="mrs_01_1939__a114b586b37a44a91a15ab70abb041d43"><a name="mrs_01_1939__la752534c14164c25b2a4157b0e1ea6f4"></a><a name="la752534c14164c25b2a4157b0e1ea6f4"></a><strong id="mrs_01_1939__b1030519448616">source /opt/client/bigdata_env</strong></p>
+<p id="mrs_01_1939__p947115301267"><strong id="mrs_01_1939__b176611735194413">source /opt/client/Spark2x/component_env</strong></p>
+</li><li id="mrs_01_1939__la3a50092f4ff48f2967af37573391188">Run the following command to authenticate users:<p id="mrs_01_1939__a374ebe1147ca488581018cdce65b7fe7"><a name="mrs_01_1939__la3a50092f4ff48f2967af37573391188"></a><a name="la3a50092f4ff48f2967af37573391188"></a><strong id="mrs_01_1939__b51614247712">kinit hbase_select_user</strong></p>
+</li><li id="mrs_01_1939__l49e8872fa31b4a1484fd83bb0329c205">Run the following commands to enter the shell environment on the Spark JDBCServer client:<p id="mrs_01_1939__af81388de48aa475dabb0319c5034252a"><a name="mrs_01_1939__l49e8872fa31b4a1484fd83bb0329c205"></a><a name="l49e8872fa31b4a1484fd83bb0329c205"></a><strong id="mrs_01_1939__b132863751914">/opt/client/Spark2x/spark/bin/beeline -u "jdbc:hive2://&lt;zkNode1_IP&gt;:&lt;zkNode1_Port&gt;,&lt;zkNode2_IP&gt;:&lt;zkNode2_Port&gt;,&lt;zkNode3_IP&gt;:&lt;zkNode3_Port&gt;/;serviceDiscoveryMode=zooKeeper;zooKeeperNamespace=sparkthriftserver2x;user.principal=spark2x/hadoop.</strong><em id="mrs_01_1939__i430113715193">&lt;system domain name&gt;</em><strong id="mrs_01_1939__b4871104110195">@</strong><em id="mrs_01_1939__i8874184117198">&lt;system domain name&gt;</em><strong id="mrs_01_1939__b33594549193">;saslQop=auth-conf;auth=KERBEROS;principal=spark2x/hadoop.</strong><em id="mrs_01_1939__i13362205417195">&lt;system domain name&gt;</em><strong id="mrs_01_1939__b156057596197">@</strong><em id="mrs_01_1939__i4609195917197">&lt;system domain name&gt;</em><strong id="mrs_01_1939__b18605759171917">;"</strong></p>
+</li><li id="mrs_01_1939__lcfcc1f6ea5104624b97c9c352d3e4db9">Run the following command to use a SparkSQL statement to query HBase table data:<p id="mrs_01_1939__a7a59b1c97ed24fc4a86018f12b1c9718"><a name="mrs_01_1939__lcfcc1f6ea5104624b97c9c352d3e4db9"></a><a name="lcfcc1f6ea5104624b97c9c352d3e4db9"></a><strong id="mrs_01_1939__b631111551379">select * from hbaseTable;</strong></p>
+</li></ol>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1935.html">SparkSQL Permission Management(Security Mode)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1940.html b/docs/mrs/component-operation-guide/mrs_01_1940.html
new file mode 100644
index 000000000..ba2f93e7c
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1940.html
@@ -0,0 +1,125 @@
+<a name="mrs_01_1940"></a><a name="mrs_01_1940"></a>
+
+<h1 class="topictitle1">Configuring the Client and Server</h1>
+<div id="body1595920206239"><div class="p" id="mrs_01_1940__abc4e49e2c0df4237901d5ce08088b919">This section describes how to configure SparkSQL permission management functions (client configuration is similar to server configuration). To enable table permission, add following configurations on the client and server:<ul id="mrs_01_1940__u47c83664029948f98715a46d81f5e455"><li id="mrs_01_1940__lc0453bd1332245b694c9aebbd4db865a"><strong id="mrs_01_1940__b11821142311366">spark-defaults.conf</strong> configuration file
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1940__tc89cf03b09054627b5997336dcfcf919" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description (1)</caption><thead align="left"><tr id="mrs_01_1940__r8375d5f1812f422dacf4a68928d37536"><th align="left" class="cellrowborder" valign="top" width="22.99%" id="mcps1.3.1.1.1.2.2.4.1.1"><p id="mrs_01_1940__a8fd158ed36e34010bb41d3d6abd8a0e6"><strong id="mrs_01_1940__aba6660101ace47899dade479aaaa6551">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="63.980000000000004%" id="mcps1.3.1.1.1.2.2.4.1.2"><p id="mrs_01_1940__a6aa7da946b2a4a83806652873d32f10d"><strong id="mrs_01_1940__ad04810c132a149598a360dffcdfd8ce2">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="13.03%" id="mcps1.3.1.1.1.2.2.4.1.3"><p id="mrs_01_1940__ae3a08b16fd3c405684a85c67bd6eebf0"><strong id="mrs_01_1940__abf4e62e09d2642008bcd279f8283f0d9">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1940__r34a9613a9891449c951d921bc076199e"><td class="cellrowborder" valign="top" width="22.99%" headers="mcps1.3.1.1.1.2.2.4.1.1 "><p id="mrs_01_1940__a68d92bcfb6f349e585381f71e152a8f0">spark.sql.authorization.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.980000000000004%" headers="mcps1.3.1.1.1.2.2.4.1.2 "><p id="mrs_01_1940__ad020014dd01f433d942e7ed738bc1f70">Specifies whether to enable permission authentication of the datasource statement. It is recommended that the parameter value be set to <strong id="mrs_01_1940__b8768195481366">true</strong> to enable permission authentication.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.03%" headers="mcps1.3.1.1.1.2.2.4.1.3 "><p id="mrs_01_1940__a5a191081bb554953b8ca27ddb4b781c0">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1940__l25721db74b054813a2afcf45ff8b3f3b"><strong id="mrs_01_1940__b19085671791366">hive-site.xml</strong> configuration file
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1940__t2c384fbc85b7463d8bee88b95fe0bda6" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Parameter description (2)</caption><thead align="left"><tr id="mrs_01_1940__rcb83e88ecf074eeeb271ad8f6f2a30f9"><th align="left" class="cellrowborder" valign="top" width="19.36%" id="mcps1.3.1.1.2.2.2.4.1.1"><p id="mrs_01_1940__aff1fc95828ad4df3aecab02216b9555e"><strong id="mrs_01_1940__a3f559ff229a146e99d3e0db7619a3d07">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="64.47%" id="mcps1.3.1.1.2.2.2.4.1.2"><p id="mrs_01_1940__ab30f0ce16e654d9398d4dd8fc848b95c"><strong id="mrs_01_1940__aaf7dbd86357e4851988f5e25e8f26703">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="16.17%" id="mcps1.3.1.1.2.2.2.4.1.3"><p id="mrs_01_1940__a40edfc8e0acf429e8c5cde120d706e1c"><strong id="mrs_01_1940__a45497a16e5894db9b7bb6d19eb03a892">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1940__r61d2e44fee8b4a11a04d2c298cf03e8a"><td class="cellrowborder" valign="top" width="19.36%" headers="mcps1.3.1.1.2.2.2.4.1.1 "><p id="mrs_01_1940__a85403229454f4e11a18e909416f6eb47">hive.metastore.uris</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.47%" headers="mcps1.3.1.1.2.2.2.4.1.2 "><p id="mrs_01_1940__aa5aaf013fe06407cb03afebf1d49a41e">Specifies the MetaStore service address of the Hive component, for example, <strong id="mrs_01_1940__b14849990481366">thrift://10.10.169.84:21088,thrift://10.10.81.37:21088</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.17%" headers="mcps1.3.1.1.2.2.2.4.1.3 "><p id="mrs_01_1940__a49e887bbe2984518a2a60b386daccd4a">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1940__rcdca8e04535243baa1ac6609f48d67a1"><td class="cellrowborder" valign="top" width="19.36%" headers="mcps1.3.1.1.2.2.2.4.1.1 "><p id="mrs_01_1940__a5ece0bb299334d69a6f9a7cf59191eef">hive.metastore.sasl.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.47%" headers="mcps1.3.1.1.2.2.2.4.1.2 "><p id="mrs_01_1940__a604118b67a4a4ad9a38df8d06060bfd6">Specifies whether the MetaStore service uses SASL to improve security. The table permission function must be enabled.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.17%" headers="mcps1.3.1.1.2.2.2.4.1.3 "><p id="mrs_01_1940__a11d66174006044c7b6dcc1de2fc75b1d">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1940__r1dd0470c21864b40a4206a337be5f2f2"><td class="cellrowborder" valign="top" width="19.36%" headers="mcps1.3.1.1.2.2.2.4.1.1 "><p id="mrs_01_1940__acb32046508f44bcea9dcb1998c4f2d9f">hive.metastore.kerberos.principal</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.47%" headers="mcps1.3.1.1.2.2.2.4.1.2 "><p id="mrs_01_1940__a52201932d73d4c9dbe65be04a0767f16">Specifies the principal of the MetaStore service in the Hive component, for example, <strong id="mrs_01_1940__b16887207611366">hive/hadoop.</strong>&lt;<em id="mrs_01_1940__i6993699491366">system domain name</em>&gt;@&lt;<em id="mrs_01_1940__i18023128041366">system domain name</em>&gt;.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.17%" headers="mcps1.3.1.1.2.2.2.4.1.3 "><p id="mrs_01_1940__a8c98699c90a2475dbefbcede3f294eaf">hive-metastore/_HOST@EXAMPLE.COM</p>
+</td>
+</tr>
+<tr id="mrs_01_1940__rd49c9232ba5f41cd9e0d611c94111902"><td class="cellrowborder" valign="top" width="19.36%" headers="mcps1.3.1.1.2.2.2.4.1.1 "><p id="mrs_01_1940__ada8be045d8e54358b2563d16194962a9">hive.metastore.thrift.sasl.qop</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.47%" headers="mcps1.3.1.1.2.2.2.4.1.2 "><p id="mrs_01_1940__ac1a2bd18cfa145418c0f40a91f958ace">After the SparkSQL permission management function is enabled, set the parameter to <span class="parmvalue" id="mrs_01_1940__pec17bd62550e4253bb329b7b6d0980ad"><b>auth-conf</b></span>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.17%" headers="mcps1.3.1.1.2.2.2.4.1.3 "><p id="mrs_01_1940__ab6636877495f4fda83cb24676f13f369">auth-conf</p>
+</td>
+</tr>
+<tr id="mrs_01_1940__r62745f92eb1e4b9d9dba0bc9a4867f75"><td class="cellrowborder" valign="top" width="19.36%" headers="mcps1.3.1.1.2.2.2.4.1.1 "><p id="mrs_01_1940__a1a287ff12a094fcf95ef013eed1bcda6">hive.metastore.token.signature</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.47%" headers="mcps1.3.1.1.2.2.2.4.1.2 "><p id="mrs_01_1940__a4527c436fbc64e1f97cbf602530c1b75">Specifies the token identifier of the MetaStore service, which is set to <span class="parmvalue" id="mrs_01_1940__pd922a42460974342aafe3a1d989ad8ab"><b>HiveServer2ImpersonationToken</b></span>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.17%" headers="mcps1.3.1.1.2.2.2.4.1.3 "><p id="mrs_01_1940__a76d6be82f95c4d7eaca8c6fb11d70f2e">HiveServer2ImpersonationToken</p>
+</td>
+</tr>
+<tr id="mrs_01_1940__red57d4c24da049bc82a822cf66dcdf1b"><td class="cellrowborder" valign="top" width="19.36%" headers="mcps1.3.1.1.2.2.2.4.1.1 "><p id="mrs_01_1940__a68813814d49a42c89c59aeaaf29e2376">hive.security.authenticator.manager</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.47%" headers="mcps1.3.1.1.2.2.2.4.1.2 "><p id="mrs_01_1940__af0288fb4058c4a79912fffdf8be90195">Specifies the manager authenticated by the Hive client, which is set to <span class="parmvalue" id="mrs_01_1940__p982a8b1504cf44d09f81654bd46dc8b4"><b>org.apache.hadoop.hive.ql.security.SessionStateUserGroupAuthenticator</b></span>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.17%" headers="mcps1.3.1.1.2.2.2.4.1.3 "><p id="mrs_01_1940__a75556fdd3b31457f9f669202025101e9">org.apache.hadoop.hive.ql.security.SessionStateUserMSGroupAuthenticator</p>
+</td>
+</tr>
+<tr id="mrs_01_1940__r83cacb198c6448bc9f334a92f9cbd9f8"><td class="cellrowborder" valign="top" width="19.36%" headers="mcps1.3.1.1.2.2.2.4.1.1 "><p id="mrs_01_1940__a3fabfc5a35a044759abe26e9f81e0d38">hive.security.authorization.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.47%" headers="mcps1.3.1.1.2.2.2.4.1.2 "><p id="mrs_01_1940__ac2dbeb35f24a48c082ee8a9b740df7f0">Specifies whether to enable client authentication, which is set to <span class="parmvalue" id="mrs_01_1940__pac0e153d096a4a5598949f4dcd3a5b36"><b>true</b></span>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.17%" headers="mcps1.3.1.1.2.2.2.4.1.3 "><p id="mrs_01_1940__a60158e2d9859453b94c02abedf62680f">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1940__rf0ee3e5268c6476b8bf0efc38eaeb24f"><td class="cellrowborder" valign="top" width="19.36%" headers="mcps1.3.1.1.2.2.2.4.1.1 "><p id="mrs_01_1940__aa1d27dc4e4884122a7adfb778aac7944">hive.security.authorization.createtable.owner.grants</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.47%" headers="mcps1.3.1.1.2.2.2.4.1.2 "><p id="mrs_01_1940__aa8bdfbf491744530acf6a88a69e264f6">Specifies which permissions are granted to the owner who creates the table, which is set to <span class="parmvalue" id="mrs_01_1940__p49722dab5b2d4354a5bbca03a429147c"><b>ALL</b></span>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="16.17%" headers="mcps1.3.1.1.2.2.2.4.1.3 "><p id="mrs_01_1940__ab70dca57cdc64e1da1ede154b9f2179a">ALL</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1940__l5b713271f9cd40c4a063bda3f4a41277"><strong id="mrs_01_1940__b6178390671366">core-site.xml</strong> configuration file of the MetaStore service
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1940__t12d4701e856947c48166b492cab53af0" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Parameter description (3)</caption><thead align="left"><tr id="mrs_01_1940__r291b893ca2d34b2c81ffdf8f03d35aee"><th align="left" class="cellrowborder" valign="top" width="25.25%" id="mcps1.3.1.1.3.2.2.4.1.1"><p id="mrs_01_1940__a087ebecb17344d17a37401c8070e7606"><strong id="mrs_01_1940__a3ff327f889b3418386b5d9ca1fc7277b">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="59.650000000000006%" id="mcps1.3.1.1.3.2.2.4.1.2"><p id="mrs_01_1940__a4b5f6974aa104373b39bcdc356624546"><strong id="mrs_01_1940__acd19632ccbc941c8964bd54bbb17f8b5">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.1%" id="mcps1.3.1.1.3.2.2.4.1.3"><p id="mrs_01_1940__af789f1b0d6ba48f5bf7589bfcebc73ad"><strong id="mrs_01_1940__a7eeaed1a65814ecd98e6231972e32759">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1940__ra0b2a69aa4c646a08c7ad8351c5bcf0a"><td class="cellrowborder" valign="top" width="25.25%" headers="mcps1.3.1.1.3.2.2.4.1.1 "><p id="mrs_01_1940__aefa32f5381b1449fb7a6f25fd8d11603">hadoop.proxyuser.spark.hosts</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.650000000000006%" headers="mcps1.3.1.1.3.2.2.4.1.2 "><p id="mrs_01_1940__a9f651d6b3d59499db99ebfb0a752e90a">Specifies the hosts from which Spark users can be masqueraded, which is set to <strong id="mrs_01_1940__b6400189291366">*</strong>, indicating all hosts.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.1%" headers="mcps1.3.1.1.3.2.2.4.1.3 "><p id="mrs_01_1940__ade89ff2abd464cfaaba50553ec52b52a">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1940__rf13d6535db104e908a11a759ac3aac26"><td class="cellrowborder" valign="top" width="25.25%" headers="mcps1.3.1.1.3.2.2.4.1.1 "><p id="mrs_01_1940__aaca5f53f0e4c4480abcd8ea581fdf24d">hadoop.proxyuser.spark.groups</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.650000000000006%" headers="mcps1.3.1.1.3.2.2.4.1.2 "><p id="mrs_01_1940__aefae623f14ee47dab1ee8a42e57c1ae3">Specifies the user groups from which Spark users can be masqueraded, which is set to <strong id="mrs_01_1940__b8428509591366">*</strong>, indicating all user groups.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.1%" headers="mcps1.3.1.1.3.2.2.4.1.3 "><p id="mrs_01_1940__a5117aba4706f4d5cb87ab18ecb9aa0e7">-</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1935.html">SparkSQL Permission Management(Security Mode)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1941.html b/docs/mrs/component-operation-guide/mrs_01_1941.html
new file mode 100644
index 000000000..d9be83dae
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1941.html
@@ -0,0 +1,63 @@
+<a name="mrs_01_1941"></a><a name="mrs_01_1941"></a>
+
+<h1 class="topictitle1">Scenario-Specific Configuration</h1>
+<div id="body1595920206240"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1942.html">Configuring Multi-active Instance Mode</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1943.html">Configuring the Multi-tenant Mode</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1944.html">Configuring the Switchover Between the Multi-active Instance Mode and the Multi-tenant Mode</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1945.html">Configuring the Size of the Event Queue</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1947.html">Configuring Executor Off-Heap Memory</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1948.html">Enhancing Stability in a Limited Memory Condition</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1949.html">Viewing Aggregated Container Logs on the Web UI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1951.html">Configuring Environment Variables in Yarn-Client and Yarn-Cluster Modes</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1952.html">Configuring the Default Number of Data Blocks Divided by SparkSQL</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1953.html">Configuring the Compression Format of a Parquet Table</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1954.html">Configuring the Number of Lost Executors Displayed in WebUI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1957.html">Setting the Log Level Dynamically</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1958.html">Configuring Whether Spark Obtains HBase Tokens</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1959.html">Configuring LIFO for Kafka</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1960.html">Configuring Reliability for Connected Kafka</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1961.html">Configuring Streaming Reading of Driver Execution Results</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1962.html">Filtering Partitions without Paths in Partitioned Tables</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1963.html">Configuring Spark2x Web UI ACLs</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1964.html">Configuring Vector-based ORC Data Reading</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1965.html">Broaden Support for Hive Partition Pruning Predicate Pushdown</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1966.html">Hive Dynamic Partition Overwriting Syntax</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1967.html">Configuring the Column Statistics Histogram to Enhance the CBO Accuracy</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1969.html">Configuring Local Disk Cache for JobHistory</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1970.html">Configuring Spark SQL to Enable the Adaptive Execution Feature</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24170.html">Configuring Event Log Rollover</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1928.html">Basic Operation</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1942.html b/docs/mrs/component-operation-guide/mrs_01_1942.html
new file mode 100644
index 000000000..d4cb7e7ea
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1942.html
@@ -0,0 +1,54 @@
+<a name="mrs_01_1942"></a><a name="mrs_01_1942"></a>
+
+<h1 class="topictitle1">Configuring Multi-active Instance Mode</h1>
+<div id="body1595920206242"><div class="section" id="mrs_01_1942__sac64230035884ea19f5bd62afa5fa520"><h4 class="sectiontitle">Scenarios</h4><p id="mrs_01_1942__aca74e07e171e4a5b81a8a2fe2389aad3">In this mode, multiple ThriftServers coexist in the cluster and the client can randomly connect any ThriftServer to perform service operations. When one or multiple ThriftServers stop working, a client can connect to another functional ThriftServer. </p>
+</div>
+<div class="section" id="mrs_01_1942__sdecae6addae94a05810fa09f898197b8"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_1942__ac158e19be7944083aa074cd5a3b6d7c9">Log in to Manager, choose <span id="mrs_01_1942__text179841816113617"><strong id="mrs_01_1942__b1097731623610">Cluster</strong> &gt; <em id="mrs_01_1942__i129831116133614">Name of the desired cluster</em></span> &gt; <strong id="mrs_01_1942__b12984181610368">Services</strong> &gt; <strong id="mrs_01_1942__b698561615361">Spark2x</strong> &gt; <strong id="mrs_01_1942__b1398517166361">Configurations</strong>, click <strong id="mrs_01_1942__b13986816183612">All Configurations</strong>, and search for and modify the following parameters.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1942__t576a909ff9e04d18b418fb17d95de20c" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1942__r73d7551a0a604a049aa40a67345d4e88"><th align="left" class="cellrowborder" valign="top" width="33.15%" id="mcps1.3.2.3.2.4.1.1"><p id="mrs_01_1942__a06f8acf44cd84b3ba6af6ef5e5696e2c">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="45.550000000000004%" id="mcps1.3.2.3.2.4.1.2"><p id="mrs_01_1942__a6761d06871d341e082c205bc7ee2f468">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="21.3%" id="mcps1.3.2.3.2.4.1.3"><p id="mrs_01_1942__abe09d4a986e54473affb698b58096b6b">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1942__r924d519d54ab422e8471df6b919f57a3"><td class="cellrowborder" valign="top" width="33.15%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1942__a7cd57605d3ac4d85a67ef125a64a3098">spark.thriftserver.zookeeper.connection.timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.550000000000004%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1942__a35debb6a38e9434e9bd3bb0e7dabd59f">Specifies the timeout interval of connection between ZooKeeper client and ThriftServer. The unit is millisecond.</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.3%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1942__a1c2facf0d83c4e788b651d21a3d39adf">60000</p>
+</td>
+</tr>
+<tr id="mrs_01_1942__r1a3e01964bc246fda3bc3bdb6213e804"><td class="cellrowborder" valign="top" width="33.15%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1942__af115c4d358f245b8b18eb46e216664db">spark.thriftserver.zookeeper.session.timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.550000000000004%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1942__a7202391a936847ea8ac65289da59e26f">Specifies the timeout interval of a ZooKeeper client session. The unit is millisecond.</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.3%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1942__a79f80c1db6dd45ce8eec4eb051aade8f">90000</p>
+</td>
+</tr>
+<tr id="mrs_01_1942__r66e0980498e447bcb907b4762756d211"><td class="cellrowborder" valign="top" width="33.15%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1942__af253ad49dc86463e8d23df42bc87396f">spark.thriftserver.zookeeper.retry.times</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.550000000000004%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1942__a6c042286be1845ae8ccfcb61e28717e9">Specifies the retry times after ZooKeeper disconnection.</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.3%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1942__a3b16d16c7d2d4385837aea22dfcc4fb7">3</p>
+</td>
+</tr>
+<tr id="mrs_01_1942__r40ebfd533a2648e39f22372b5b80d287"><td class="cellrowborder" valign="top" width="33.15%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1942__a1fa9492783f6453495979adbd2a47faa">spark.yarn.queue</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.550000000000004%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1942__a51dfab7b970543159fb11ae6ce7eca0d">Specifies the Yarn queue where the JDBCServer service resides.</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.3%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1942__afed2c91654f241f2ae5357f9dabb061f">default</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1941.html">Scenario-Specific Configuration</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1943.html b/docs/mrs/component-operation-guide/mrs_01_1943.html
new file mode 100644
index 000000000..edad69dfd
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1943.html
@@ -0,0 +1,121 @@
+<a name="mrs_01_1943"></a><a name="mrs_01_1943"></a>
+
+<h1 class="topictitle1">Configuring the Multi-tenant Mode</h1>
+<div id="body1595920206244"><div class="section" id="mrs_01_1943__s8fb504bd02484f97a0a8526107e0f759"><h4 class="sectiontitle">Scenarios</h4><p id="mrs_01_1943__abcddcea270aa41f784f54ace11d57d8a">In multi-tenant mode, JDBCServers are bound with tenants. Each tenant corresponds to one or more JDBCServers, and a JDBCServer provides services for only one tenant. Different tenants can be configured with different Yarn queues to implement resource isolation.</p>
+</div>
+<div class="section" id="mrs_01_1943__s5b984ff01fd34ab590725329313962f9"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_1943__a01af061964f3448fb30b07fc4a0aaab5">Log in to Manager, choose <span id="mrs_01_1943__text89287364813"><strong id="mrs_01_1943__b792114316485">Cluster</strong> &gt; <em id="mrs_01_1943__i10927233488">Name of the desired cluster</em></span> &gt; <strong id="mrs_01_1943__b18928113124813">Services</strong> &gt; <strong id="mrs_01_1943__b19929113194820">Spark2x</strong> &gt; <strong id="mrs_01_1943__b209291634484">Configurations</strong>, click <strong id="mrs_01_1943__b1093063174818">All Configurations</strong>, and search for and modify the following parameters.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1943__ta23b51b7a2024f7aa827fc5610d7a7f9" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1943__r09fe66ae687a4519a7c888c176ac0908"><th align="left" class="cellrowborder" valign="top" width="28.63%" id="mcps1.3.2.3.2.4.1.1"><p id="mrs_01_1943__a136181b87b5046ea9d1ddbc04e94115d"><strong id="mrs_01_1943__a89b589386b4e4fc5a3364b425850e119">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="51.76%" id="mcps1.3.2.3.2.4.1.2"><p id="mrs_01_1943__a56186c6c4d494d22bf43c9a9b94195ee"><strong id="mrs_01_1943__a76d2e6fbeaa340fe8e1ff647153be2e5">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="19.61%" id="mcps1.3.2.3.2.4.1.3"><p id="mrs_01_1943__ab8899ec4388c42a2b4c62dbfce5aa7f9"><strong id="mrs_01_1943__a7aca9ac0131a405b9b689d98f72d3c69">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1943__r8d92087d09ac434ca3e2a2765f002425"><td class="cellrowborder" valign="top" width="28.63%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1943__af07072708124437585a066f41639977a">spark.proxyserver.hash.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.76%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1943__ac96f14897b954e59a985cd4f59eda167">Specifies whether to connect to ProxyServer using the Hash algorithm.</p>
+<ul id="mrs_01_1943__ucb5c90db233f4734868663e8dba2ea3c"><li id="mrs_01_1943__le801751d60f14219976794483e7d2266"><strong id="mrs_01_1943__b11664049711192">true</strong> indicates using the Hash algorithm. In multi-tenant mode, this parameter must be configured to <strong id="mrs_01_1943__b116428786811192">true</strong>.</li><li id="mrs_01_1943__leef29a7030514be48f784b87d56377af"><strong id="mrs_01_1943__b171749450611192">false</strong> indicates using random connection. In multi-active instance mode, this parameter must be configured to <strong id="mrs_01_1943__b185615892511192">false</strong>.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="19.61%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1943__abc0563e03e8d4977876483b5223ecf86">true</p>
+<div class="note" id="mrs_01_1943__n2c7fc366441b46539af13dc25f1f47f7"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1943__a0b65c41cb92042549eac0ef09055239e">After this parameter is modified, you need to download the client again.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_1943__rfc0e9f27a9d743ce88f436d3d755816c"><td class="cellrowborder" valign="top" width="28.63%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1943__ae8969889f7cd4c31a6a2db00fd65d74d">spark.thriftserver.proxy.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.76%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1943__a3a3293d9eb7b49f79789d161eed8f513">Specifies whether to use the multi-tenant mode.</p>
+<ul id="mrs_01_1943__u311ed2f510da4a0e9c5aa359181d98a7"><li id="mrs_01_1943__l77258fd3e0dd4def8610afd32ab14917"><strong id="mrs_01_1943__b47497228111192">false</strong>: The multi-instance mode is used.</li><li id="mrs_01_1943__l5a534f3acc8548d888aa595747265910"><strong id="mrs_01_1943__b143090156611192">true</strong>: The multi-tenant mode is used.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="19.61%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1943__aaf1e717b10844c2fb1f3f82a535bd659">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1943__rc7d190b9f74f4225b48101a72e6e78df"><td class="cellrowborder" valign="top" width="28.63%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1943__a819d0a168782411ca45304f44ba6b167">spark.thriftserver.proxy.maxThriftServerPerTenancy</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.76%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1943__a9bb53c22b61a4dfa85eeea46a02665b2">Specifies the maximum number of JDBCServer instances that can be started by a tenant in multi-tenant mode. </p>
+</td>
+<td class="cellrowborder" valign="top" width="19.61%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1943__a739ec770e4e645ec99cd9a927e310229">1</p>
+</td>
+</tr>
+<tr id="mrs_01_1943__ra0e371c695044448a560e3c4fb809d0b"><td class="cellrowborder" valign="top" width="28.63%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1943__a13060754a588493c9899c0dc1d14b973">spark.thriftserver.proxy.maxSessionPerThriftServer</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.76%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1943__a1278d799c3664c1d9cdc292787befccc">Specifies the maximum number of sessions in a single JDBCServer instance in multi-tenant mode. If the number of sessions exceeds this value and the number of JDBCServer instances does not exceed the upper limit, a new JDBCServer instance is started. Otherwise, an alarm log is output.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.61%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1943__a205abfea4eaf4cc28b973d4d8947f4cc">50</p>
+</td>
+</tr>
+<tr id="mrs_01_1943__rd8cfe5108d654f15ac457943514de46d"><td class="cellrowborder" valign="top" width="28.63%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1943__a5f8d4a5030de48c9bac3eda87bd43dfe">spark.thriftserver.proxy.sessionWaitTime</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.76%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1943__a90731e981f9e4e67ab7d6a6c4a07dbd9">Specifies the wait time before a JDBCServer instance is stopped when it has no session connections in multi-tenant mode.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.61%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1943__a182cd7e37d454926abcd8ad2bc8027bb">180000</p>
+</td>
+</tr>
+<tr id="mrs_01_1943__r45ea322d0c694daba9047d69ed4da7bb"><td class="cellrowborder" valign="top" width="28.63%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1943__a95e8051b4b914d418b0c5c635d37d380">spark.thriftserver.proxy.sessionThreshold</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.76%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1943__a5f54a2e8502745b79eff89ea0997ca6c">In multi-tenant mode, when the session usage (formula: number of current sessions/spark.thriftserver.proxy.maxSessionPerThriftServer x number of current JDBCServer instances) of the JDBCServer instance reaches the threshold, a new JDBCServer instance is automatically added.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.61%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1943__a678cbe4db72e47bda7198cbedb472fb8">100</p>
+</td>
+</tr>
+<tr id="mrs_01_1943__r40c70171ca4b4fd298c479abd2047641"><td class="cellrowborder" valign="top" width="28.63%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1943__a9bfca980c3eb4deab48693a5ac185cf6">spark.thriftserver.proxy.healthcheck.period</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.76%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1943__a0d4f320dcbf8449693f45626e4c2cc0f">Specifies the period of JDBCServer health checks conducted by the JDBCServer proxy in multi-tenant mode.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.61%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1943__a42ae47940a7d4092939c5bb26c4ff747">60000</p>
+</td>
+</tr>
+<tr id="mrs_01_1943__ra2102cac64f147f0ba08ef64138283ea"><td class="cellrowborder" valign="top" width="28.63%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1943__af9edaf7552ea498a8c1fbb9255fcd889">spark.thriftserver.proxy.healthcheck.recheckTimes</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.76%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1943__aa4892ad80c414851a927247dfc1989df">Specifies the number of JDBCServer health check retries conducted by the JDBCServer proxy in multi-tenant mode.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.61%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1943__a3734267fa84041eba4d2b93e7f4d032f">3</p>
+</td>
+</tr>
+<tr id="mrs_01_1943__r44bf2d9ab8af4fa9a670b6f56b1e12ad"><td class="cellrowborder" valign="top" width="28.63%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1943__a621edfbd7a724c3c842b7dc3a70d55ed">spark.thriftserver.proxy.healthcheck.waitTime</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.76%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1943__aa2bf497fc034462dbaa61bcad44624d8">Specifies the wait time for JDBCServer to respond to a health check request sent by the JDBCServer proxy.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.61%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1943__a47913e53e3674ec5ad469c88b1791ab2">10000</p>
+</td>
+</tr>
+<tr id="mrs_01_1943__r1de6479160eb46bdb2cdc80faa92ab16"><td class="cellrowborder" valign="top" width="28.63%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1943__a433bd05339614d799a63e7a3d48ae65e">spark.thriftserver.proxy.session.check.interval</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.76%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1943__a43b7f8b853354b54b97d3c82ea201d07">Specifies the period of JDBCServer proxy sessions in multi-tenant mode.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.61%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1943__a3ed163c57d394940ba30ebdcc82620c6">6h</p>
+</td>
+</tr>
+<tr id="mrs_01_1943__re97c56e94f8d4d0e925ca96051a19e6f"><td class="cellrowborder" valign="top" width="28.63%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1943__a11a634621b854e96b5adcddcbe406505">spark.thriftserver.proxy.idle.session.timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.76%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1943__a95ab28ff7a804bf6824dd1ab826c6162">Specifies the idle time interval of a JDBCServer proxy session in multi-tenant mode. If no operation is performed within this period, the session is closed.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.61%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1943__a7048a770cfb24113a3580f49d9c45c56">7d</p>
+</td>
+</tr>
+<tr id="mrs_01_1943__r9f7d9c82cc68487b881782986dc33bd9"><td class="cellrowborder" valign="top" width="28.63%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1943__a1de3bfd3727b4f2595d18124441324c2">spark.thriftserver.proxy.idle.session.check.operation</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.76%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1943__a668765f53e9540dcadfa058197c4a7f5">Specifies whether to check that operations still exist on a JDBCServer proxy session when the session is checked for expiration in multi-tenant mode. </p>
+</td>
+<td class="cellrowborder" valign="top" width="19.61%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1943__a3ff8b49b44064774955e515bc1a6765c">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1943__rdca72b9a3e5d4f73a9d456936dfa1d32"><td class="cellrowborder" valign="top" width="28.63%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1943__a460db5b6fba04b12a8d5618479bae6ca">spark.thriftserver.proxy.idle.operation.timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.76%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1943__af17dd88dd6d2441fa235988645295459">Specifies the timeout interval of an operation in multi-tenant mode. An operation that times out is closed.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.61%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1943__ae69a153092fb42babcce59466272004a">5d</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1941.html">Scenario-Specific Configuration</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1944.html b/docs/mrs/component-operation-guide/mrs_01_1944.html
new file mode 100644
index 000000000..54fbf88bb
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1944.html
@@ -0,0 +1,57 @@
+<a name="mrs_01_1944"></a><a name="mrs_01_1944"></a>
+
+<h1 class="topictitle1">Configuring the Switchover Between the Multi-active Instance Mode and the Multi-tenant Mode</h1>
+<div id="body1595920206246"><div class="section" id="mrs_01_1944__s913ab340c32147138a066ac6d74f1a45"><h4 class="sectiontitle">Scenarios</h4><p id="mrs_01_1944__a93f89a8d632c49369bddb93965bf44a9">When using a cluster, if you want to switch between multi-active instance mode and multi-tenant mode, the following configurations are required.</p>
+<ul id="mrs_01_1944__u46450c771054403492078173dcb1ac3c"><li id="mrs_01_1944__lce2b188e91d5452e93b860a3482653ad">Switch from multi-tenant mode to multi-active instance mode.<div class="p" id="mrs_01_1944__ac62cc421204049bda3db46c46946dfc5"><a name="mrs_01_1944__lce2b188e91d5452e93b860a3482653ad"></a><a name="lce2b188e91d5452e93b860a3482653ad"></a>Modify the following parameters of the Spark2x service:<ul id="mrs_01_1944__u94f7c01c42584422b9a4a72ab3dbe89d"><li id="mrs_01_1944__lcf126bec1bd444b98e75cf0701e796dd">spark.thriftserver.proxy.enabled=false</li><li id="mrs_01_1944__ldbcc47b8c22d45169047a9ff0ed9c4b9">spark.scheduler.allocation.file=#{conf_dir}/fairscheduler.xml</li><li id="mrs_01_1944__l93d590ffe9b546e587a333352bc4c6d0">spark.proxyserver.hash.enabled=false</li></ul>
+</div>
+</li><li id="mrs_01_1944__lf00d01868c0d49f39ce73d41402fc72a">Switch from multi-active instance mode to multi-tenant mode.<div class="p" id="mrs_01_1944__a8a838e7f3f5c47078720e2dc6c41f54b"><a name="mrs_01_1944__lf00d01868c0d49f39ce73d41402fc72a"></a><a name="lf00d01868c0d49f39ce73d41402fc72a"></a>Modify the following parameters of the Spark2x service:<ul id="mrs_01_1944__u404eb392cd644535a7a810c9a3f88099"><li id="mrs_01_1944__le273f58dd23546238fdda05d0a45bf8d">spark.thriftserver.proxy.enabled=true</li><li id="mrs_01_1944__l8263f257a3da47c5a16908135c48a2bc">spark.scheduler.allocation.file=./__spark_conf__/__hadoop_conf__/fairscheduler.xml</li><li id="mrs_01_1944__l7923993ee0fc442683c9e0cbe7947214">spark.proxyserver.hash.enabled=true</li></ul>
+</div>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1944__s3ebf24c20e9a430ba293fa6f5097a5bd"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_1944__aaf2b21f356e44b77b03bd2d812601e18">Log in to Manager, choose <span id="mrs_01_1944__text114551359203113"><strong id="mrs_01_1944__b164501159153113">Cluster</strong> &gt; <em id="mrs_01_1944__i845545913120">Name of the desired cluster</em></span> &gt; <strong id="mrs_01_1944__b194562599318">Service</strong> &gt; <strong id="mrs_01_1944__b1145685913119">Spark2x</strong> &gt; <strong id="mrs_01_1944__b445655914317">Configuration</strong>, click <strong id="mrs_01_1944__b154561359143114">All Configurations</strong>, and search for and modify the following parameters.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1944__tbba987f2c7bd4a2388a2e8dd95803df5" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1944__r0a5d57b3ab5946568c97afa7a1a95fad"><th align="left" class="cellrowborder" valign="top" width="28.63%" id="mcps1.3.2.3.2.4.1.1"><p id="mrs_01_1944__a080c9fe7980d4702b00f10b703a76631"><strong id="mrs_01_1944__ae9ff192af4284dc3a524274cabcf5378">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="51.76%" id="mcps1.3.2.3.2.4.1.2"><p id="mrs_01_1944__a5e06d33f5e0a45eaaa4bccdffd02e34e"><strong id="mrs_01_1944__a4cc498da45fe4e449ae7440bb4b0d0e7">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="19.61%" id="mcps1.3.2.3.2.4.1.3"><p id="mrs_01_1944__afff35a974b7f465daa00ac180fcdfad5"><strong id="mrs_01_1944__a37b4fc1f288d43cd9d7915ce21c26764">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1944__re6e2373676624b9d89cc3dcff97d47af"><td class="cellrowborder" valign="top" width="28.63%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1944__a8656a2e5a9954f5287123d3415dfa8ed">spark.thriftserver.proxy.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.76%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1944__a7220e2425c2642ceb30ef3ffc662d061">Specifies whether to use the multi-tenant mode.</p>
+<ul id="mrs_01_1944__u3585498203ad4a27823b9a2a9eab7c0d"><li id="mrs_01_1944__ld68f2bf9afaf4f2a9309c55337d27dc2"><strong id="mrs_01_1944__b93619919111291">false</strong>: The multi-instance mode is used.</li><li id="mrs_01_1944__lc6d55ebf84ef4a3f9c894df0ff721d87"><strong id="mrs_01_1944__b98179415511291">true</strong>: The multi-tenant mode is used.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="19.61%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1944__accf1ee44279b49c4b7cb9152278a9c39">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1944__r12882c62cfc942b1a2eda38a0a16d7d8"><td class="cellrowborder" valign="top" width="28.63%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1944__a73243c0582ae4ec99cbdfdd159928aa8">spark.scheduler.allocation.file</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.76%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1944__ac4fb189f86ad46cd85b2cc492fcd422b">Specifies the fair scheduling file path.</p>
+<ul id="mrs_01_1944__u116b1addfc264ebba3960139b47ae4c0"><li id="mrs_01_1944__l6d10271be8074bb9ac4379569c61c7b9">If the multi-active instance mode is used, the path is changed to <strong id="mrs_01_1944__b123028101911291">#{conf_dir}/fairscheduler.xml</strong>.</li><li id="mrs_01_1944__l6f5e6d96940146efb53d0f114de56ea7">If multi-tenant mode is used, the path is changed to <strong id="mrs_01_1944__b82462887811291">./__spark_conf__/__hadoop_conf__/fairscheduler.xml</strong>.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="19.61%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1944__a5558d917db9743f7a398805f043e08c8">./__spark_conf__/__hadoop_conf__/fairscheduler.xml</p>
+</td>
+</tr>
+<tr id="mrs_01_1944__r8b26c6c61cf243a2bc0fc95cb75699d9"><td class="cellrowborder" valign="top" width="28.63%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1944__aaa1ba5965f8745e3b370278a9e86edec">spark.proxyserver.hash.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.76%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1944__a059cdb6b069047c4bfa53a0432edb744">Specifies whether to connect to ProxyServer using the Hash algorithm.</p>
+<ul id="mrs_01_1944__u598af0864a694a32859c71b40e127a4e"><li id="mrs_01_1944__ld6cf68978f8f4d719f105a9d592d710e"><strong id="mrs_01_1944__b76584955211291">true</strong> indicates using the Hash algorithm. In multi-tenant mode, this parameter must be configured to <strong id="mrs_01_1944__b135442222911291">true</strong>.</li><li id="mrs_01_1944__lb420dc975acb43a3a8bf7df6d2891138"><strong id="mrs_01_1944__b122048118211291">false</strong> indicates using random connection. In multi-active instance mode, this parameter must be configured to <strong id="mrs_01_1944__b109048647311291">false</strong>.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="19.61%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1944__af600e0babff14c439a459e14e7a9e090">true</p>
+<div class="note" id="mrs_01_1944__nb30ad64dc44d453aa849d4f3a49abc9c"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_1944__a071f53fd4ae74c3caf240a08f69409ac">After this parameter is modified, you need to download the client again.</p>
+</div></div>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1941.html">Scenario-Specific Configuration</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1945.html b/docs/mrs/component-operation-guide/mrs_01_1945.html
new file mode 100644
index 000000000..7a464aade
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1945.html
@@ -0,0 +1,45 @@
+<a name="mrs_01_1945"></a><a name="mrs_01_1945"></a>
+
+<h1 class="topictitle1">Configuring the Size of the Event Queue</h1>
+<div id="body1595920206248"><div class="section" id="mrs_01_1945__s7574bad2b00c4d24b0612c8a25e079c5"><h4 class="sectiontitle">Scenarios</h4><p id="mrs_01_1945__a4dae9a2b199f4eb2bfd261df75a5b9bc">Functions such as UI, EventLog, and dynamic resource scheduling in Spark are implemented through event transfer. Events include SparkListenerJobStart and SparkListenerJobEnd, which record each important process.</p>
+<p id="mrs_01_1945__ac6dc5168b00f4c3dad1aea8d91cebd9e">Each event is saved to a queue after it occurs. When creating a SparkContext object, Driver starts a thread to obtain an event from the queue in sequence and sends the event to each Listener. Each Listener processes the event after detecting the event.</p>
+<p id="mrs_01_1945__ac1f6c1688ad543a7b76e90770d967be1">Therefore, when the queuing speed is faster than the read speed, the queue overflows. As a result, the overflow event is lost, affecting the UI, EventLog, and dynamic resource scheduling functions. Therefore, a configuration item is added for more flexible use. You can set a proper value based on the memory size of the driver.</p>
+</div>
+<div class="section" id="mrs_01_1945__sc7dc453d15124448ac121d4c962d514a"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_1945__a94a08bdd53d149cdb7ab8b71d7ce8d72"><strong id="mrs_01_1945__a9d75af7c574c4770bd4552384f4a3251">Navigation path for setting parameters:</strong></p>
+<p id="mrs_01_1945__aa1da597b8b95426cb9fac88023c041a8">Before executing an application, modify the Spark service configuration. On Manager, choose <span class="menucascade" id="mrs_01_1945__m6ca77d75ac3249dca520def4a9f15fd3"><b><span class="uicontrol" id="mrs_01_1945__u259a526d16bf428e8e08be19c5ef90d5"><span id="mrs_01_1945__text11652135610719">Cluster &gt; <em id="mrs_01_1945__i18394133505818">Name of the desired cluster</em> &gt; </span>Service</span></b> &gt; <b><span class="uicontrol" id="mrs_01_1945__u06ce28fb234142acb5bbf2e905b9d179">Spark2x</span></b> &gt; <b><span class="uicontrol" id="mrs_01_1945__ua6560c59db6b4547930b3f91d71ba15b">Configuration</span></b></span> and click <span class="parmvalue" id="mrs_01_1945__p69b6939ef61a4ad4b41b8e1d64f4c2ba"><b>All Configurations</b></span>. Enter a parameter name in the search box.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1945__te4186f213d04444b875444b348663b8a" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1945__rdf40be7d301944cb8872ec7da25514fd"><th align="left" class="cellrowborder" valign="top" width="22.430000000000003%" id="mcps1.3.2.4.2.4.1.1"><p id="mrs_01_1945__a7065353c39174288b29607cb592cddd1">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="64.54%" id="mcps1.3.2.4.2.4.1.2"><p id="mrs_01_1945__aa46b98292ccb48aebdd6c5945c984d6b">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="13.030000000000003%" id="mcps1.3.2.4.2.4.1.3"><p id="mrs_01_1945__adc63113d24b740008c44c7eb082602f6">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1945__r915d75e37c2246589151851deb466727"><td class="cellrowborder" valign="top" width="22.430000000000003%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_1945__a566689de94c841af8726ac565fc4e76f">spark.scheduler.listenerbus.eventqueue.capacity</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.54%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_1945__a07e63811f69f43c2bdc1e4583d2fd0af">Specifies the size of the event queue. Configure this parameter based on the memory of the driver.</p>
+</td>
+<td class="cellrowborder" valign="top" width="13.030000000000003%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_1945__a77dc365770b64874b26b0c6c481fcd04">1000000</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_1945__n184dbd30e32043508da6462079ace617"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1945__a330ee9bf41be42ab8ff2011522ef9773">If the following information is displayed in the Driver log, the queue overflows.</p>
+<ol id="mrs_01_1945__oe31995b9ea5e4db9b859d142013682ec"><li id="mrs_01_1945__lbffa60813d454381a3e8b6b619abaaac">Common application:<pre class="screen" id="mrs_01_1945__s866b3ed6d2fe408b8b3b95f4fe39f3cf">Dropping SparkListenerEvent because no remaining room in event queue. 
+This likely means one of the SparkListeners is too slow and cannot keep
+up with the rate at which tasks are being started by the scheduler.</pre>
+</li><li id="mrs_01_1945__l1442273eb4674da1abf41922e54c54f7">Spark Streaming application:<pre class="screen" id="mrs_01_1945__se8dbbfbd29124e3b95a0476af95fcd20">Dropping StreamingListenerEvent because no remaining room in event queue.
+This likely means one of the StreamingListeners is too slow and cannot keep
+up with the rate at which events are being started by the scheduler.</pre>
+</li></ol>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1941.html">Scenario-Specific Configuration</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1947.html b/docs/mrs/component-operation-guide/mrs_01_1947.html
new file mode 100644
index 000000000..19f32ac32
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1947.html
@@ -0,0 +1,34 @@
+<a name="mrs_01_1947"></a><a name="mrs_01_1947"></a>
+
+<h1 class="topictitle1">Configuring Executor Off-Heap Memory</h1>
+<div id="body1595920206811"><div class="section" id="mrs_01_1947__s58b91abedccd418a83f24d854d77675c"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1947__a3b3d5ce6b42845118f5a6b3f85275bbb">When the executor off-heap memory is too small, or processes with higher priority preempt resources, the physical memory usage will exceed the maximal value. To prevent the physical memory usage from exceeding, set the following parameter.</p>
+</div>
+<div class="section" id="mrs_01_1947__sd7ef7f618ea8436f9a32b9ad56042837"><h4 class="sectiontitle">Configuration</h4><p id="mrs_01_1947__afb4983eb6997447b891ac1f013fafdea"><strong id="mrs_01_1947__b1878324225519">Navigation path for setting parameters:</strong></p>
+<p id="mrs_01_1947__a11a6d681b63f4231b3d718cfb66ba388">When submitting an application, set the following parameter using <span class="parmname" id="mrs_01_1947__parmname11360105535512"><b>--conf</b></span> or adjust the parameter in the <span class="filepath" id="mrs_01_1947__filepath133651155175511"><b>spark-defaults.conf</b></span> configuration file on the client.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1947__tfaf6bf89c678496d9495e263777b4fa0" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1947__r0d8c1e8c9d1e49479304c18d7dbfa02e"><th align="left" class="cellrowborder" valign="top" width="20.18%" id="mcps1.3.2.4.2.4.1.1"><p id="mrs_01_1947__a7c135258b3f74b3aae04647b544b265f">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="63.970000000000006%" id="mcps1.3.2.4.2.4.1.2"><p id="mrs_01_1947__ad353ac8cb5cd4efb892e88e1a06a5a06">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.85%" id="mcps1.3.2.4.2.4.1.3"><p id="mrs_01_1947__afaecfdedf90141bc8da11af0e8e9e1b0">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1947__rafd648d1e3874d86b171ee1a4039f302"><td class="cellrowborder" valign="top" width="20.18%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_1947__a7c220f4a9d7f4ac6909e0d046040a482">spark.executor.memoryOverhead</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.970000000000006%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_1947__a0cc173494d4543ff8f8b77f684da5fdc">Indicates the off-heap memory of each executor, in MB. Increasing the value of this parameter prevents the physical memory usage from exceeding the maximal value. The value is calculated based on max(384, Executor – Memory x 0.1). The minimal value is 384.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.85%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_1947__a605d75ef92bf4ee58bbb7303790f0872">1024</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1941.html">Scenario-Specific Configuration</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1948.html b/docs/mrs/component-operation-guide/mrs_01_1948.html
new file mode 100644
index 000000000..97b47c386
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1948.html
@@ -0,0 +1,58 @@
+<a name="mrs_01_1948"></a><a name="mrs_01_1948"></a>
+
+<h1 class="topictitle1">Enhancing Stability in a Limited Memory Condition</h1>
+<div id="body1595920206812"><div class="section" id="mrs_01_1948__s5ccaa08c9e3d4e8891c4a082f7b1bd0f"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1948__a018e28a4ce214eaf87e410983d0f659a">A large amount of memory is required when Spark SQL executes a query, especially during Aggregate and Join operations. If the memory is limited, OutOfMemoryError may occur. Stability in a limited memory condition ensures queries to be run in limited memory without OutOfMemoryError.</p>
+<div class="note" id="mrs_01_1948__n77573a24ecdc4b0cb1652b712b72f2a9"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1948__a4df999fce09141b88a5069a8c64a8e2f">Limited memory does not mean infinitely small memory, but ensures stable queries by using disks in a scenario where memory fails to store the data amount that is several times larger than the available memory size. For example, for queries involving Join, the data of the same key used for Join needs to be stored in memory. If the data amount is too large to be stored in the available memory, OutOfMemoryError occurs.</p>
+</div></div>
+<p id="mrs_01_1948__afb70693b302446429aabc3525d43169e">Stability in a limited memory condition involves the following sub-functions:</p>
+<ol id="mrs_01_1948__o4d68b12d83254cf4accc1f3c2ad5050d"><li id="mrs_01_1948__l7552e2c805b94675a7ce3edf7053ba0d">ExternalSort<p id="mrs_01_1948__a16d6318d9b424c0f96416f5c36acbeea"><a name="mrs_01_1948__l7552e2c805b94675a7ce3edf7053ba0d"></a><a name="l7552e2c805b94675a7ce3edf7053ba0d"></a>If the memory is inadequate during sorting, partial data overflows to disks.</p>
+</li><li id="mrs_01_1948__l7330289aa7b54d1cb6fd9134c3a222e6">TungstenAggregate<p id="mrs_01_1948__a5d014e3791e941438f54f7700fac37f9"><a name="mrs_01_1948__l7330289aa7b54d1cb6fd9134c3a222e6"></a><a name="l7330289aa7b54d1cb6fd9134c3a222e6"></a>By default, ExternalSort is used to sort data before data aggregation. Therefore, if the memory is inadequate, the data overflows to disks during sorting. The data has been properly sorted before aggregation and only aggregation results of the current key are remained, which use a small amount of memory.</p>
+</li><li id="mrs_01_1948__lb149c12433be4812ae83f5d0217a63a6">SortMergeJoin and SortMergeOuterJoin<p id="mrs_01_1948__a81a67592e912440daa2bb31653a0a862"><a name="mrs_01_1948__lb149c12433be4812ae83f5d0217a63a6"></a><a name="lb149c12433be4812ae83f5d0217a63a6"></a>SortMergeJoin and SortMergeOuterJoinan are based on the equivalence join of sorted data. By default, ExternalSort is used to sort the data before the equivalence join. Therefore, if the memory is inadequate, the data overflows to disks during sorting. The data has been properly sorted before the equivalence join and only the data of the same key are remained, which uses a small amount of memory.</p>
+</li></ol>
+</div>
+<div class="section" id="mrs_01_1948__sb255977d7f914000beaa6f33c29a9cf7"><h4 class="sectiontitle">Configuration</h4><p id="mrs_01_1948__a8c256ca7444445ca813c63bcf3709f80"><strong id="mrs_01_1948__b164463913352">Navigation path for setting parameters:</strong></p>
+<p id="mrs_01_1948__a13b4514f5cec479ea55e07fb363962d4">When submitting an application, set the following parameters using <span class="parmname" id="mrs_01_1948__parmname468218112359"><b>--conf</b></span> or adjust the parameters in the <span class="filepath" id="mrs_01_1948__filepath11682201133520"><b>spark-defaults.conf</b></span> configuration file on the client.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1948__tfda7ed6906cd49f9834bff000d8d1f90" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1948__rec3b282c92cb4717aae24defa6fdc2e3"><th align="left" class="cellrowborder" valign="top" width="25.91259125912591%" id="mcps1.3.2.4.2.5.1.1"><p id="mrs_01_1948__abf5a0b7e5ce6416285870eb9fbbf64c1">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.791579157915791%" id="mcps1.3.2.4.2.5.1.2"><p id="mrs_01_1948__a8a0a9a60b6fa482689d1895bd8f259ec">Scenario</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="46.41464146414641%" id="mcps1.3.2.4.2.5.1.3"><p id="mrs_01_1948__a48000d547d83464f9c7769abe951b5d3">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="11.881188118811883%" id="mcps1.3.2.4.2.5.1.4"><p id="mrs_01_1948__ae9c45759b8294ad6bccc82929058b322">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1948__r431b0672ccd947af83b8ff634ef916c9"><td class="cellrowborder" valign="top" width="25.91259125912591%" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1948__af6570b074dc04d19ac3e961825c7e636">spark.sql.tungsten.enabled</p>
+</td>
+<td class="cellrowborder" rowspan="2" valign="top" width="15.791579157915791%" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1948__p8588325175720">/</p>
+</td>
+<td class="cellrowborder" valign="top" width="46.41464146414641%" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1948__aa9f60c02d88d402387077385eb887b72">Type: Boolean</p>
+<ul id="mrs_01_1948__u2ea46f3d6562440296cbc992302e546c"><li id="mrs_01_1948__lb4e6f84e2d3d4b1780cd6fe7f7930183">If the value is <strong id="mrs_01_1948__b0796155114417">true</strong>, tungsten is enabled. That is, the logic plan is equivalent to the codegeneration function, and the physical plan uses the corresponding tungsten execution plan.</li><li id="mrs_01_1948__l212fb19841984c1986d2471a96d00afd">If the value is <strong id="mrs_01_1948__b63381854124219">false</strong>, tungsten is disabled.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="11.881188118811883%" headers="mcps1.3.2.4.2.5.1.4 "><p id="mrs_01_1948__a7150839aeec44332991012d57910530c">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1948__r1113474f10774860983b04a7aea105e9"><td class="cellrowborder" valign="top" headers="mcps1.3.2.4.2.5.1.1 "><p id="mrs_01_1948__a43b2279fe6f144d4ace54a32f1d9e8ea">spark.sql.codegen.wholeStage</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.4.2.5.1.2 "><p id="mrs_01_1948__ace86f0211e184c72ab85d49ba2235d65">Type: Boolean</p>
+<ul id="mrs_01_1948__u0ada36a8044749979dced7f1783ba144"><li id="mrs_01_1948__l4702b4e35592456cafd3a76fc91469ca">If the value is <strong id="mrs_01_1948__b5769115917421">true</strong>, codegeneration is enabled. That is, for some specified queries, the logic plan code will be generated dynamically when running.</li><li id="mrs_01_1948__l007c1b1175254255867b32a0253c858c">If the value is <strong id="mrs_01_1948__b13873317442">false</strong>, codegeneration is disabled and the existing static code is used.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.4.2.5.1.3 "><p id="mrs_01_1948__a904168e06b984d45aeac6d064ee7caa5">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_1948__n45e1033a80d34e9f8c580b1bc69b3e0e"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ol id="mrs_01_1948__oa9788d8076414fe6ae5d2762c56100c3"><li id="mrs_01_1948__lbe86f5c051c5437c8fcb1f1a63929c95">To enable ExternalSort, you need to set <strong id="mrs_01_1948__b280319594417">spark.sql.planner.externalSort</strong> to <strong id="mrs_01_1948__b18808651442">true</strong> and <strong id="mrs_01_1948__b9808115114413">spark.sql.unsafe.enabled</strong> to <strong id="mrs_01_1948__b880820517442">false</strong> or <strong id="mrs_01_1948__b1080825104413">spark.sql.codegen.wholeStage</strong> to <strong id="mrs_01_1948__b16808152449">false</strong>.</li><li id="mrs_01_1948__l26e63aafca414d43b6115f2598754514">To enable TungstenAggregate, use either of the following methods:<p id="mrs_01_1948__acfe3f250b83a4a25b12ac8002de3a622"><a name="mrs_01_1948__l26e63aafca414d43b6115f2598754514"></a><a name="l26e63aafca414d43b6115f2598754514"></a>Set <strong id="mrs_01_1948__b4688115815441">spark.sql.codegen.wholeStage</strong> and <strong id="mrs_01_1948__b769305815449">spark.sql.unsafe.enabled</strong> to <strong id="mrs_01_1948__b11694135813442">true</strong> in the configuration file or CLI.</p>
+<p id="mrs_01_1948__af9616e4fbb2f4a2e8160055ef3b5440a">If neither <strong id="mrs_01_1948__b15751133474615">spark.sql.codegen.wholeStage</strong> nor <strong id="mrs_01_1948__b19537114104620">spark.sql.unsafe.enabled</strong> is <strong id="mrs_01_1948__b153713494616">true</strong> or either of them is <strong id="mrs_01_1948__b653715444611">true</strong>, TungstenAggregate is enabled as long as <strong id="mrs_01_1948__b45382494617">spark.sql.tungsten.enabled</strong> is set to <strong id="mrs_01_1948__b185383444618">true</strong>.</p>
+</li></ol>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1941.html">Scenario-Specific Configuration</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1949.html b/docs/mrs/component-operation-guide/mrs_01_1949.html
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@@ -0,0 +1,42 @@
+<a name="mrs_01_1949"></a><a name="mrs_01_1949"></a>
+
+<h1 class="topictitle1">Viewing Aggregated Container Logs on the Web UI</h1>
+<div id="body1595920207013"><div class="section" id="mrs_01_1949__s8eab832973474ee2b7d10f857b4ce59a"><h4 class="sectiontitle">Scenarios</h4><p id="mrs_01_1949__a07a4208870594874b1c31e55edafaf65">When <span class="parmname" id="mrs_01_1949__parmname18416017491"><b>yarn.log-aggregation-enable</b></span> of Yarn is set to <span class="parmvalue" id="mrs_01_1949__parmvalue084710134918"><b>true</b></span>, the container log aggregation function is enabled. Log aggregation indicates that after applications are run on Yarn, NodeManager aggregates all container logs of the node to HDFS and deletes local logs. For details, see <a href="mrs_01_0858.html">Configuring Container Log Aggregation</a>.</p>
+<p id="mrs_01_1949__ae8afabb222c443a6868dfb2cc612beeb">However, all logs will be aggregated to an HDFS directory and can only be viewed by accessing an HDFS file. Open-source Spark and Yarn do not support the function of viewing aggregated logs on the web UI.</p>
+<p id="mrs_01_1949__af914439db28f41a0995648bd390fb45e">Spark supports this function. As shown in <a href="#mrs_01_1949__fig157091128102512">Figure 1</a>, the <span class="wintitle" id="mrs_01_1949__wb1c7b0e2233d41f1a36500d302274b73"><b>AggregatedLogs</b></span> tab is added to the HistoryServer page. You can click <span class="parmname" id="mrs_01_1949__pae5c6f2d904147d7a8fcb8a64afd0c36"><b>logs</b></span> to view aggregated logs.</p>
+<div class="fignone" id="mrs_01_1949__fig157091128102512"><a name="mrs_01_1949__fig157091128102512"></a><a name="fig157091128102512"></a><span class="figcap"><b>Figure 1 </b>Log aggregation page</span><br><span><img id="mrs_01_1949__image15830111917257" src="en-us_image_0000001387894476.png"></span></div>
+</div>
+<div class="section" id="mrs_01_1949__sddf08557702c41eca697e470c8e674e4"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_1949__a9291737594254f96b3f65fa7ad6d1688">To display logs on the web UI, aggregated logs need to be parsed and presented. Spark parses aggregation logs using JobHistoryServer of Hadoop. Therefore, you can use the <span class="parmname" id="mrs_01_1949__pc729fc9a7f0f4475a7a6229300326516"><b>spark.jobhistory.address</b></span> parameter to specify the URL of the JobHistoryServer page to parse and present the logs.</p>
+<p id="mrs_01_1949__a00fd6dbbba8b410793143e9663be285a"><strong id="mrs_01_1949__a9edeaf7c110b4f818dd79da24af5c068">Navigation path for setting parameters:</strong></p>
+<p id="mrs_01_1949__a11b0680af22c453882f772db6705f2a4">When submitting an application, set these parameters using <span class="parmname" id="mrs_01_1949__pd11b4e78945d4301884ee18c3f0de8b6"><b>--conf</b></span> or adjust the following parameter in the <span class="filepath" id="mrs_01_1949__f9b2f1f043ab94897a2f2a2cdb4ea4084"><b>spark-defaults.conf</b></span> configuration file on the client.</p>
+<div class="note" id="mrs_01_1949__ne9f0932cba6540398adde4984146173f"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1949__uc8b7f451aa6448bfa46dac69656c10a8"><li id="mrs_01_1949__l1ec4b07acc544a97b24a70522df623e3">This function depends on JobHistoryServer of Hadoop. Therefore, ensure that JobHistoryServer is running properly before using the log aggregation function.</li><li id="mrs_01_1949__l12909dc4dcbd47d1a0a1034759fc4450">If the parameter value is empty, the <span class="wintitle" id="mrs_01_1949__wintitle2053822960113231"><b>AggregatedLogs</b></span> tab page still exists, but you cannot view logs by clicking <strong id="mrs_01_1949__b2122110342113231">logs</strong>.</li><li id="mrs_01_1949__lf92ce12bd3774df49af0c903ad699de1">The aggregated container logs can be viewed only when the application is running and event log files of the application exist on HDFS.</li><li id="mrs_01_1949__lad07931d8202452388379d66b758c7de">You can click the log link on the <span class="wintitle" id="mrs_01_1949__wintitle1390664030113231"><b>Executors</b></span> page to view the logs of a running task. After the task completes, the logs are aggregated to HDFS, and the log link on the <span class="wintitle" id="mrs_01_1949__wintitle340136682113231"><b>Executors</b></span> page becomes invalid. In this case, you can click <strong id="mrs_01_1949__b1015542336113231">logs</strong> on the <span class="wintitle" id="mrs_01_1949__wintitle2084740360113231"><b>AggregatedLogs</b></span> page to view the aggregated logs.</li></ul>
+</div></div>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1949__t7f090357d37c49328051a7a4bc0fd4f8" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1949__r3ae0207e5618488dbd9409356e64e62e"><th align="left" class="cellrowborder" valign="top" width="24.79%" id="mcps1.3.2.6.2.4.1.1"><p id="mrs_01_1949__afd81cf0147ed4c95b5f03c882e932fad"><strong id="mrs_01_1949__a43a5e46c70624f4293abb0c92f715020">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="64.95%" id="mcps1.3.2.6.2.4.1.2"><p id="mrs_01_1949__af82abc2bec3b43ccb4f67ae2b6fe5991"><strong id="mrs_01_1949__afa3597bde7e5496eac76cbe4b1a2d434">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="10.26%" id="mcps1.3.2.6.2.4.1.3"><p id="mrs_01_1949__adc08f858813d47e985c767b3bf1bcbb0"><strong id="mrs_01_1949__a66aa31559a244770be22ba97c10e1c6e">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1949__r7920d336445d4c79a58d1873d019820b"><td class="cellrowborder" valign="top" width="24.79%" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_1949__ad5b782c6cf5243e5b8e7dfab9aeb85e5">spark.jobhistory.address</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.95%" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_1949__aad894612c5214e8396a236efc310b5d5">URL of the JobHistoryServer page. The format is <em id="mrs_01_1949__a507aaf39e0e2444ab2e81c9682bd37ec">http(s)://ip:port/jobhistory</em>. For example, <span class="parmvalue" id="mrs_01_1949__p1fcd156546a54517b95ccc9578b17dac"><b>https://10.92.115.1:26014/jobhistory</b></span>.</p>
+<p id="mrs_01_1949__aa7b2d1ca00544be7a2ef3ad3cc22285a">The default value is empty, indicating that container aggregation logs cannot be viewed on the web UI.</p>
+<p id="mrs_01_1949__a6b64f86cf1b54a648488124286c2fb9f">Restart the service for the configuration to take effect.</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.26%" headers="mcps1.3.2.6.2.4.1.3 "><p id="mrs_01_1949__a11b228b346264d72846278152b785479">-</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1941.html">Scenario-Specific Configuration</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1951.html b/docs/mrs/component-operation-guide/mrs_01_1951.html
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+<a name="mrs_01_1951"></a><a name="mrs_01_1951"></a>
+
+<h1 class="topictitle1">Configuring Environment Variables in Yarn-Client and Yarn-Cluster Modes</h1>
+<div id="body1595920207016"><div class="section" id="mrs_01_1951__s26e829f7626a4d47acff3a322cac29ba"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1951__afd82a0e03aea4b5b867242d0d25e2dc3">Values of some configuration parameters of Spark client vary depending on its work mode (YARN-Client or YARN-Cluster). If you switch Spark client between different modes without first changing values of such configuration parameters, Spark client fails to submit jobs in the new mode.</p>
+<p id="mrs_01_1951__a51519b97468f4da39510131a0b90b5b6">To avoid this, configure parameters as described in <a href="#mrs_01_1951__tbf4bf318c6154639a0cf19d9911e6f93">Table 1</a>.</p>
+<ul id="mrs_01_1951__udf352af3be0d40e18bdccd6b2e0065f0"><li id="mrs_01_1951__le944f88c014d463eae2bdc266cd4fc80">In Yarn-Cluster mode, use the new parameters (path and parameters of Spark server).</li><li id="mrs_01_1951__laac50f9b6ecf41c49ae864bbf31e3c50">In Yarn-Client mode, uses the original parameters.<p id="mrs_01_1951__aab5a283e3f174a56adec1d7c575d5bad"><a name="mrs_01_1951__laac50f9b6ecf41c49ae864bbf31e3c50"></a><a name="laac50f9b6ecf41c49ae864bbf31e3c50"></a>They are <span class="parmname" id="mrs_01_1951__p54918d57da41406588b9c95a56c48d4f"><b>spark.driver.extraClassPath</b></span>, <span class="parmname" id="mrs_01_1951__p7b3ba2f6c3f942149dc297b5f6c0db47"><b>spark.driver.extraJavaOptions</b></span>, and <span class="parmname" id="mrs_01_1951__pb37da1175777499fba256376f7689dec"><b>spark.driver.extraLibraryPath</b></span>.</p>
+</li></ul>
+<div class="note" id="mrs_01_1951__n6f74e6f90a654c25ae760afc5dd30a15"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1951__a1efd533a04ac404f97d526aa5639390b">If you choose not to add the parameters in <a href="#mrs_01_1951__tbf4bf318c6154639a0cf19d9911e6f93">Table 1</a>, Spark client can continue to operate well in either mode but the mode switch requires changes to some of its configuration parameters.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1951__s55f4f88db6a04510b8052f873986a84f"><h4 class="sectiontitle">Configuration Parameters</h4><p id="mrs_01_1951__a7d0d698a2edf45f1a7cf1ec9c5f107ea"><strong id="mrs_01_1951__b0208105414158">Navigation path for setting parameters:</strong></p>
+<p id="mrs_01_1951__adcdc3279f3cd4f12a2d9800815c849e8">On Manager, choose <span id="mrs_01_1951__text18330192912598"><strong id="mrs_01_1951__b58678452177">Cluster</strong> &gt; <em id="mrs_01_1951__i2252142013472">Name of the desired cluster</em> &gt; </span><strong id="mrs_01_1951__b22215701611">Services</strong> &gt; <strong id="mrs_01_1951__b1322116717166">Spark2x</strong> &gt; <strong id="mrs_01_1951__b1822216710164">Configurations</strong>. Click <strong id="mrs_01_1951__b1122314720166">All Configurations</strong> and enter a parameter name in the search box.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1951__tbf4bf318c6154639a0cf19d9911e6f93"></a><a name="tbf4bf318c6154639a0cf19d9911e6f93"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1951__tbf4bf318c6154639a0cf19d9911e6f93" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1951__r7dbfd24b806a4887852fd41b7128b35f"><th align="left" class="cellrowborder" valign="top" width="17.79%" id="mcps1.3.2.4.2.4.1.1"><p id="mrs_01_1951__a471cf3e6d4f34892a3dfcaac262c16cc"><strong id="mrs_01_1951__b13135231141816">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="41.48%" id="mcps1.3.2.4.2.4.1.2"><p id="mrs_01_1951__ae250bd7acf7e4e599611478214c88135"><strong id="mrs_01_1951__b1589113341819">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="40.73%" id="mcps1.3.2.4.2.4.1.3"><p id="mrs_01_1951__a7e50861023d34af2b3c01e97a6946de5"><strong id="mrs_01_1951__b387923461815">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1951__r88a52401d24540ffac87ddad1093063c"><td class="cellrowborder" valign="top" width="17.79%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_1951__a804065d541fe4d51b8695406a13e43df">spark.yarn.cluster.driver.extraClassPath</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.48%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_1951__ab76d1296fefc46baab2706678e41bdb5">Indicates the extraClassPath of the driver in Yarn-cluster mode. Set the parameter to the path and parameters of the server.</p>
+<p id="mrs_01_1951__a5773aae075b043f88e2c64c84c892911">The original parameter <strong id="mrs_01_1951__b57341244101817">spark.driver.extraClassPath</strong> indicates the extraClassPath of Spark client. By using different parameters to separate the settings of Spark server from the settings of Spark client, you can switch Spark client to different modes without changing parameter values.</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.73%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_1951__adc6e5e9146fd430bb7c9d18292ff44f4">${BIGDATA_HOME}/common/runtime/security</p>
+</td>
+</tr>
+<tr id="mrs_01_1951__rce76867498e541f1972957d059131b9d"><td class="cellrowborder" valign="top" width="17.79%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_1951__a0a8194048cfd401a85e635a82fad515a">spark.yarn.cluster.driver.extraJavaOptions</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.48%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_1951__ada8dffd46463471fb032fbf9dc09b1c7">Indicates the extraJavaOptions of Driver in Yarn-Cluster mode and is set to path and parameters of extraJavaOptions of Spark server.</p>
+<p id="mrs_01_1951__a0772d42b0dfb40ac930238fe981b362b">The original parameter <span class="parmname" id="mrs_01_1951__p51eda6a1591e405c8611a7423125563c"><b>spark.driver.extraJavaOptions</b></span> indicates the path of extraJavaOptions of Spark client. By using different parameters to separate the settings of Spark server from the settings of Spark client, you can switch Spark client to different modes without changing parameter values.</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.73%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_1951__p637564731911">-Xloggc:&lt;LOG_DIR&gt;/indexserver-%p-gc.log -XX:+PrintGCDetails -XX:-OmitStackTraceInFastThrow -XX:+PrintGCTimeStamps -XX:+PrintGCDateStamps -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=20 -XX:GCLogFileSize=10M -Dlog4j.configuration=./__spark_conf__/__hadoop_conf__/log4j-executor.properties -Dlog4j.configuration.watch=true -Djava.security.auth.login.config=./__spark_conf__/__hadoop_conf__/jaas-zk.conf -Dzookeeper.server.principal=${ZOOKEEPER_SERVER_PRINCIPAL} -Djava.security.krb5.conf=./__spark_conf__/__hadoop_conf__/kdc.conf -Djetty.version=x.y.z -Dorg.xerial.snappy.tempdir=${BIGDATA_HOME}/tmp -Dcarbon.properties.filepath=./__spark_conf__/__hadoop_conf__/carbon.properties -Djdk.tls.ephemeralDHKeySize=2048 -Dspark.ssl.keyStore=./child.keystore #{java_stack_prefer}</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1941.html">Scenario-Specific Configuration</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1952.html b/docs/mrs/component-operation-guide/mrs_01_1952.html
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@@ -0,0 +1,36 @@
+<a name="mrs_01_1952"></a><a name="mrs_01_1952"></a>
+
+<h1 class="topictitle1">Configuring the Default Number of Data Blocks Divided by SparkSQL</h1>
+<div id="body1595920207017"><div class="section" id="mrs_01_1952__sa495cb5f396b4610b9880fbade553007"><h4 class="sectiontitle">Scenarios</h4><p id="mrs_01_1952__a1045e435c0db4b12810ac1158e9c5948">By default, SparkSQL divides data into 200 data blocks during shuffle. In data-intensive scenarios, each data block may have excessive size. If a single data block of a task is larger than 2 GB, an error similar to the following will be reported while Spark attempts to fetch the data block:</p>
+<pre class="screen" id="mrs_01_1952__seb1a6807e53a4d1db4daca0fb28d4006">Adjusted frame length exceeds 2147483647: 2717729270 - discarded</pre>
+<p id="mrs_01_1952__aa142cd4398cb4f22a14929dee5c81aab">For example, setting the number of default data blocks to 200 causes SparkSQL to encounter an error in running a TPCDS 500-GB test. To avoid this, increase the number of default blocks in data-intensive scenarios.</p>
+</div>
+<div class="section" id="mrs_01_1952__s4862f9a9a0ee4e97b6a1a8dffee0a15d"><h4 class="sectiontitle">Configuration parameters</h4><p id="mrs_01_1952__ad9da1e1c012f4f7fbf95227018f1ddb5"><strong id="mrs_01_1952__a19b85ce4b3544e2496f9ae7b00146e95">Navigation path for setting parameters:</strong></p>
+<p id="mrs_01_1952__af07bffcb0ec84ae498154f2a634e4297">On Manager, choose <span class="menucascade" id="mrs_01_1952__menucascade1587206391"><b><span class="uicontrol" id="mrs_01_1952__uicontrol18871006396"><span id="mrs_01_1952__text13867012390">Cluster &gt; <em id="mrs_01_1952__i8813015398">Name of the desired cluster</em> &gt; </span>Service</span></b> &gt; <b><span class="uicontrol" id="mrs_01_1952__uicontrol387006391">Spark2x</span></b> &gt; <b><span class="uicontrol" id="mrs_01_1952__uicontrol198710013394">Configuration</span></b></span> and click <span class="parmvalue" id="mrs_01_1952__parmvalue19887083916"><b>All Configurations</b></span>. Enter a parameter name in the search box.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1952__tfdfbc9c242124d3dbd94d8db2cdadae4" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1952__r681a06e4f9a94bcf88e8395aaa7beafb"><th align="left" class="cellrowborder" valign="top" width="21.55%" id="mcps1.3.2.4.2.4.1.1"><p id="mrs_01_1952__aaacf5eb323b2478e8c38f01856242d4f"><strong id="mrs_01_1952__a822d74ab75f94be28e76c5b2a066b834">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="65.73%" id="mcps1.3.2.4.2.4.1.2"><p id="mrs_01_1952__af742340232ed422395eb63263d030366"><strong id="mrs_01_1952__ae3ae27c029d44a5ab75a79eb03defad4">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="12.72%" id="mcps1.3.2.4.2.4.1.3"><p id="mrs_01_1952__aa0f014da8d724f7dba760fe0c9c2b594"><strong id="mrs_01_1952__a4a55b0a09e264bd5b3eb3f4ce63615bf">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1952__rc3b9d8e7003b47a6afa47ad05369ae76"><td class="cellrowborder" valign="top" width="21.55%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_1952__af314f6d269cd45e89a4775c422833040">spark.sql.shuffle.partitions</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.73%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_1952__a0b446c0274bd41949f527706da7c128b">Indicates the default number of blocks divided during shuffle.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.72%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_1952__a168f0267e7604b91aab8524554601f5b">200</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1941.html">Scenario-Specific Configuration</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1953.html b/docs/mrs/component-operation-guide/mrs_01_1953.html
new file mode 100644
index 000000000..e1cad936f
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1953.html
@@ -0,0 +1,36 @@
+<a name="mrs_01_1953"></a><a name="mrs_01_1953"></a>
+
+<h1 class="topictitle1">Configuring the Compression Format of a Parquet Table</h1>
+<div id="body1595920207018"><div class="section" id="mrs_01_1953__sb9782cc8df7b402c9c759768ef4ccc88"><h4 class="sectiontitle">Scenarios</h4><p id="mrs_01_1953__afb3a6dfe9c644ef1b26f3913e7c8619f">The compression format of a Parquet table can be configured as follows:</p>
+<ol id="mrs_01_1953__o1b356e1387a74739a9cd6a25b9766001"><li id="mrs_01_1953__la5877b53a9804c439904704ab592fa73">If the Parquet table is a partitioned one, set the <span class="parmname" id="mrs_01_1953__p6d3ac3fe45504dea96e22e6aa9529f75"><b>parquet.compression</b></span> parameter of the Parquet table to specify the compression format. For example, set <strong id="mrs_01_1953__b201292206811212">tblproperties</strong> in the table creation statement: <strong id="mrs_01_1953__b54082256011212">"parquet.compression"="snappy"</strong>.</li><li id="mrs_01_1953__l9b629a140c4f4a42ad40718465a28e91">If the Parquet table is a non-partitioned one, set the <span class="parmname" id="mrs_01_1953__p1f6f41ef7b524767801a60261ca76153"><b>spark.sql.parquet.compression.codec</b></span> parameter to specify the compression format. The configuration of the <span class="parmname" id="mrs_01_1953__parmname82385254911212"><b>parquet.compression</b></span> parameter is invalid, because the value of the <span class="parmname" id="mrs_01_1953__parmname134005212311212"><b>spark.sql.parquet.compression.codec</b></span> parameter is read by the <strong id="mrs_01_1953__b139246753511212">parquet.compression</strong> parameter. If the <strong id="mrs_01_1953__b111998973111212">spark.sql.parquet.compression.codec</strong> parameter is not configured, the default value is <span class="parmvalue" id="mrs_01_1953__parmvalue9954191911212"><b>snappy</b></span> and will be read by the <strong id="mrs_01_1953__b186989484911212">parquet.compression</strong> parameter.</li></ol>
+<p id="mrs_01_1953__a9dbe62d94ea740c096b13d8be9240af2">Therefore, the <span class="parmname" id="mrs_01_1953__p9cecf0385c21404d9b0e8bf2efcd470d"><b>spark.sql.parquet.compression.codec</b></span> parameter can only be used to set the compression format of a non-partitioned Parquet table.</p>
+</div>
+<div class="section" id="mrs_01_1953__s9181d4d09e3b4270a0218c13af72728f"><h4 class="sectiontitle">Configuration parameters</h4><p id="mrs_01_1953__a4c165bd6f2ea4ad6bb64b2256802c372"><strong id="mrs_01_1953__ac80841aa393143599ce5b693f4435658">Navigation path for setting parameters:</strong></p>
+<p id="mrs_01_1953__a8031164794c248e7962244b6528824c9">On Manager, choose <span class="menucascade" id="mrs_01_1953__m3d3977285eb444988432992fc2945ff2"><b><span class="uicontrol" id="mrs_01_1953__u288e6a49d8364f9d9ab14c37aa655e66"><span id="mrs_01_1953__text65762040388">Cluster &gt; <em id="mrs_01_1953__i126851111165912">Name of the desired cluster</em> &gt; </span>Service</span></b> &gt; <b><span class="uicontrol" id="mrs_01_1953__uda8571fbf04841f2ad30844eeada5cfb">Spark2x</span></b> &gt; <b><span class="uicontrol" id="mrs_01_1953__uadafc3bd57aa41d7a025861393b654da">Configuration</span></b></span>. Click <span class="parmvalue" id="mrs_01_1953__p941f9b7cca554f02823c528997910dc4"><b>All Configurations</b></span> and enter a parameter name in the search box.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1953__t612728f379e14db88b1203cf2066ba20" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1953__rfc5e84f934f24c599a07a84ed8ae88c6"><th align="left" class="cellrowborder" valign="top" width="36.4%" id="mcps1.3.2.4.2.4.1.1"><p id="mrs_01_1953__aace5cb0e28914f7ea4c101a7ea63a866"><strong id="mrs_01_1953__abccbd715026649ccb7d6f3c79bba4b85">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50.88%" id="mcps1.3.2.4.2.4.1.2"><p id="mrs_01_1953__ab770a9ae78694e3a8970b91c4a94f7f1"><strong id="mrs_01_1953__a5829ef0179f14b0a820e3eea4a56126a">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="12.72%" id="mcps1.3.2.4.2.4.1.3"><p id="mrs_01_1953__ab58b7f73935546bf918dd1f229e707e4"><strong id="mrs_01_1953__a8d19df4f62264e29ab673e34367a690e">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1953__r292a6765142a48a2828b6cbfc00e96fb"><td class="cellrowborder" valign="top" width="36.4%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_1953__adf145bf516054f9f89448d1696e31fc5">spark.sql.parquet.compression.codec</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.88%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_1953__a31992e15fec7445dab478549baddcf93">Used to set the compression format of a non-partitioned Parquet table.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.72%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_1953__a8c47e5a26c924d58adcbcf9475b2de6a">snappy</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1941.html">Scenario-Specific Configuration</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1954.html b/docs/mrs/component-operation-guide/mrs_01_1954.html
new file mode 100644
index 000000000..f9efcbd75
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@@ -0,0 +1,34 @@
+<a name="mrs_01_1954"></a><a name="mrs_01_1954"></a>
+
+<h1 class="topictitle1">Configuring the Number of Lost Executors Displayed in WebUI</h1>
+<div id="body1595920207020"><p id="mrs_01_1954__aa37f8ab15d2f4d049388563539706757"></p>
+<div class="section" id="mrs_01_1954__sea742cd1ef4147f396e0edef7da2656f"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1954__a9326f3296bab4a7191c994e9016522f4">In Spark WebUI, the <span class="wintitle" id="mrs_01_1954__w51984dcf1a874f9dbf557bca7b242601"><b>Executor</b></span> page can display information about Lost Executor. Executors are dynamically recycled. If the JDBCServer tasks are large, there may be too many lost executors displayed in WebUI. Therefore, the number of displayed lost executors can be configured.</p>
+</div>
+<div class="section" id="mrs_01_1954__scdd6d98977ac4ad0b44b95b1a7605c31"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1954__afd2e3f72f0e24580a7513b243cf55e9b">Configure the following parameter in the <span class="filepath" id="mrs_01_1954__f0a50b854fd6e44bfb591a386d2f00a46"><b>spark-defaults.conf</b></span> file on Spark client.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1954__t7c10913d306e4d468256c17990f3e25c" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1954__ra438de715c7b4603bf5561cea85692af"><th align="left" class="cellrowborder" valign="top" width="20.18%" id="mcps1.3.3.3.2.4.1.1"><p id="mrs_01_1954__a0173f34d758e4375b6d6f213438fabe9">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="63.970000000000006%" id="mcps1.3.3.3.2.4.1.2"><p id="mrs_01_1954__abd31841751f74fe39968d40ff20a5fb7">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.85%" id="mcps1.3.3.3.2.4.1.3"><p id="mrs_01_1954__a637abbebe6cd4026a90d04bb9dd886d7">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1954__r9ad75cb842de4ef4bd537ddbc4b473f4"><td class="cellrowborder" valign="top" width="20.18%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_1954__a5514373b8cf045b2bdf88be5f1b7742c">spark.ui.retainedDeadExecutors</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.970000000000006%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_1954__a7ede0b7fa9e34c8c9d5934a0697788bf">The maximum number of Lost Executors displayed in Spark WebUI.</p>
+</td>
+<td class="cellrowborder" valign="top" width="15.85%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_1954__a08cef678ea924bc3bc822e8743f6dff2">100</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1941.html">Scenario-Specific Configuration</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1957.html b/docs/mrs/component-operation-guide/mrs_01_1957.html
new file mode 100644
index 000000000..7ec1dfeb6
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1957.html
@@ -0,0 +1,103 @@
+<a name="mrs_01_1957"></a><a name="mrs_01_1957"></a>
+
+<h1 class="topictitle1">Setting the Log Level Dynamically</h1>
+<div id="body1595920207026"><div class="section" id="mrs_01_1957__sbb91d5591c9043bb9aa749094ba25ba2"><h4 class="sectiontitle">Scenarios</h4><p id="mrs_01_1957__ad7ac920451f94c479d8aa442222bde0b">In some scenarios, to locate problems or check information by changing the log level,</p>
+<p id="mrs_01_1957__a7e3e55fce88345e8aa593747dbc27405">you can add the <span class="parmname" id="mrs_01_1957__pca12fa6f399e48ca98ae1a8ac91f0033"><b>-Dlog4j.configuration.watch=true</b></span> parameter to the JVM parameter of a process before the process is started. After the process is started, you can modify the log4j configuration file corresponding to the process to change the log level.</p>
+<p id="mrs_01_1957__a901bc22b82ef49a8a11e85caff8c5f9a">The following processes support the dynamic setting of log levels: driver, executor, ApplicationMaster, JobHistory and JDBCServer.</p>
+<p id="mrs_01_1957__af0ff46d218cd4cefac855a55b21ccba5">Allowed log levels are as follows: FATAL, ERROR, WARN, INFO, DEBUG, TRACE, and ALL.</p>
+</div>
+<div class="section" id="mrs_01_1957__sf4a9fd772e5e40299ae4f6d6dd099633"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_1957__a9083a1dd6a0642e8a09cd49ddf520963">Add the following parameters to the JVM parameter corresponding to a process.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1957__t31066ab015844b68954d233c847c0c65" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1957__rc37d5080820341238973e51f5ae89a4a"><th align="left" class="cellrowborder" valign="top" width="33.226677332266775%" id="mcps1.3.2.3.2.4.1.1"><p id="mrs_01_1957__a0f8a1cde1655403286497770a4392903"><strong id="mrs_01_1957__a570750b5fa3945f898266e8b5512dfb6">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="39.13608639136087%" id="mcps1.3.2.3.2.4.1.2"><p id="mrs_01_1957__a155160dbe0ef4e409c5115bba0eb945f"><strong id="mrs_01_1957__afd8baedaa59e42cd962e3edf8d4b4f66">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="27.637236276372363%" id="mcps1.3.2.3.2.4.1.3"><p id="mrs_01_1957__a281d231dcb044cdda8c7894bd7809a25"><strong id="mrs_01_1957__a4d616c13406d4551b995e73776887f15">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1957__rc6a65ff98069460d9aae30159c431735"><td class="cellrowborder" valign="top" width="33.226677332266775%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1957__a254fcb01c3ae4c1da0dc9aa19b228614">-Dlog4j.configuration.watch</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.13608639136087%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1957__a9b6cafc8f38849e4b59361a5dde129fb">Indicates a JVM parameter of a process. If this parameter is set to <span class="parmvalue" id="mrs_01_1957__p0427e35a0750440d97422cd350eb70db"><b>true</b></span>, the dynamic configuration of log levels is enabled.</p>
+</td>
+<td class="cellrowborder" valign="top" width="27.637236276372363%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1957__a398ba52dafce476b91ab662248f7d577">Left blank, indicating that the dynamic configuration of log levels is disabled</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1957__a642da311648d4482ba2eb55ab5c90ac4"><a href="#mrs_01_1957__te63dc901a739455981a4564929997088">Table 2</a> lists the JVM parameters of the driver, executor, and ApplicationMaster processes. Configure the following parameters in the <span class="parmname" id="mrs_01_1957__p8bb260b9dcf041cfab6337201cdf3f0a"><b>spark-defaults.conf</b></span> file on the Spark client. Set the log levels of the driver, executor, and ApplicationMaster processes in the log4j configuration file specified by the <span class="filepath" id="mrs_01_1957__fc8b3aaf4a89540cfbb5d6b675b06b11f"><b>-Dlog4j.configuration</b></span> parameter.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1957__te63dc901a739455981a4564929997088"></a><a name="te63dc901a739455981a4564929997088"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1957__te63dc901a739455981a4564929997088" frame="border" border="1" rules="all"><caption><b>Table 2 </b>JVM parameters of processes (1)</caption><thead align="left"><tr id="mrs_01_1957__r678e1de0d32f45538d69102069dc678b"><th align="left" class="cellrowborder" valign="top" width="33.226677332266775%" id="mcps1.3.2.5.2.4.1.1"><p id="mrs_01_1957__a5d1e2eb63fcd448c88f8bd865ae06be9"><strong id="mrs_01_1957__a3185106d01a44529b6347100505b1f42">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="39.13608639136087%" id="mcps1.3.2.5.2.4.1.2"><p id="mrs_01_1957__a022798b24c1b4bee985db0205bb344b1"><strong id="mrs_01_1957__ae093fccedde94605affa78d57e639605">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="27.637236276372363%" id="mcps1.3.2.5.2.4.1.3"><p id="mrs_01_1957__a89a1a5f7eb92442db798efdb3a6bdd17"><strong id="mrs_01_1957__adc5a2cf6a72d4c1d9958d26ff156f565">Default Log Level</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1957__r7eba02ceb38e4fa3bc060a08925992b9"><td class="cellrowborder" valign="top" width="33.226677332266775%" headers="mcps1.3.2.5.2.4.1.1 "><p id="mrs_01_1957__ae345aa9fb9c843b6a1a010dc77fbbdc5">spark.driver.extraJavaOptions</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.13608639136087%" headers="mcps1.3.2.5.2.4.1.2 "><p id="mrs_01_1957__ac3b359f0ffed4cf49132a11964ab2ea2">Indicates the JVM parameter of the driver process.</p>
+</td>
+<td class="cellrowborder" valign="top" width="27.637236276372363%" headers="mcps1.3.2.5.2.4.1.3 "><p id="mrs_01_1957__a6eae46ccf9ab418e86a85c154e19e681">INFO</p>
+</td>
+</tr>
+<tr id="mrs_01_1957__r14fcd02d5cdc4bcea2aa243ccae70666"><td class="cellrowborder" valign="top" width="33.226677332266775%" headers="mcps1.3.2.5.2.4.1.1 "><p id="mrs_01_1957__a81e20d3a4dd344f5a2756a102d7aa5a5">spark.executor.extraJavaOptions</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.13608639136087%" headers="mcps1.3.2.5.2.4.1.2 "><p id="mrs_01_1957__ae4b4e9f9d14046449ba0781b7263cc4e">Indicates the JVM parameter of the executor process.</p>
+</td>
+<td class="cellrowborder" valign="top" width="27.637236276372363%" headers="mcps1.3.2.5.2.4.1.3 "><p id="mrs_01_1957__a8f6dbf0e434a4d46a0d7c03730af676d">INFO</p>
+</td>
+</tr>
+<tr id="mrs_01_1957__rf330cdae63a74f489abe2a84cf160f80"><td class="cellrowborder" valign="top" width="33.226677332266775%" headers="mcps1.3.2.5.2.4.1.1 "><p id="mrs_01_1957__a8546c2e1a0e6496399ea17bf39d9b46f">spark.yarn.am.extraJavaOptions</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.13608639136087%" headers="mcps1.3.2.5.2.4.1.2 "><p id="mrs_01_1957__a5090279b97794977aae0c7191f93e31d">Indicates the JVM parameter of the ApplicationMaster process.</p>
+</td>
+<td class="cellrowborder" valign="top" width="27.637236276372363%" headers="mcps1.3.2.5.2.4.1.3 "><p id="mrs_01_1957__a914723231920458582a114109e9efd8a">INFO</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1957__a1dcfd00bed8b45729766c24b946ee520"><a href="#mrs_01_1957__t9699ea38453d469a8492f356e2b212cc">Table 3</a> describes the JVM parameters of JobHistory Server and JDBCServer. Set the parameters in the <span class="filepath" id="mrs_01_1957__face8d6e3b28b4dd9bf022d1a634e0e8e"><b>ENV_VARS</b></span> configuration file. Set the log levels of JobHistory Server and JDBCServer in the <span class="filepath" id="mrs_01_1957__f500d0ad6effa48eca176dd8b55764df8"><b>log4j.properties</b></span> configuration file.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1957__t9699ea38453d469a8492f356e2b212cc"></a><a name="t9699ea38453d469a8492f356e2b212cc"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1957__t9699ea38453d469a8492f356e2b212cc" frame="border" border="1" rules="all"><caption><b>Table 3 </b>JVM parameters of processes (2)</caption><thead align="left"><tr id="mrs_01_1957__r7ab77a6dd3c74633a178bb40abc2d8db"><th align="left" class="cellrowborder" valign="top" width="33.226677332266775%" id="mcps1.3.2.7.2.4.1.1"><p id="mrs_01_1957__a5d3c8be74642463db884e8932b73aa7a"><strong id="mrs_01_1957__a563bf63eaed84ac29f01ef9c65bfb9c1">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="39.13608639136087%" id="mcps1.3.2.7.2.4.1.2"><p id="mrs_01_1957__a11d030a1dd5249e4b26c3bdf5ec5cb6d"><strong id="mrs_01_1957__a50dffb4d28424f8a88e9572cc9a63625">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="27.637236276372363%" id="mcps1.3.2.7.2.4.1.3"><p id="mrs_01_1957__aa4008d8cc0154e20bd4bda405861aa89"><strong id="mrs_01_1957__a134959fb978e42ecaa8edc718bf0ab60">Default Log Level</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1957__r1030621bf4bd436b81db6972e78dd20d"><td class="cellrowborder" valign="top" width="33.226677332266775%" headers="mcps1.3.2.7.2.4.1.1 "><p id="mrs_01_1957__a62365381b9f24307babb9dc4952b2aec">GC_OPTS</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.13608639136087%" headers="mcps1.3.2.7.2.4.1.2 "><p id="mrs_01_1957__a8c09e069012b44679813c56752d02c8c">Indicates the JVM parameter of the JobHistory Server process.</p>
+</td>
+<td class="cellrowborder" valign="top" width="27.637236276372363%" headers="mcps1.3.2.7.2.4.1.3 "><p id="mrs_01_1957__abeb841b25d6d4df88a8fb6f98694f6ed">INFO</p>
+</td>
+</tr>
+<tr id="mrs_01_1957__r9519070d6b864354b6e42b536e45daf6"><td class="cellrowborder" valign="top" width="33.226677332266775%" headers="mcps1.3.2.7.2.4.1.1 "><p id="mrs_01_1957__a06776d6f341a43339411a098a21e8cff">SPARK_SUBMIT_OPTS</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.13608639136087%" headers="mcps1.3.2.7.2.4.1.2 "><p id="mrs_01_1957__ac2b6c668a9674548b56487e8f9b634f5">Indicates the JVM parameter of JDBCServer.</p>
+</td>
+<td class="cellrowborder" valign="top" width="27.637236276372363%" headers="mcps1.3.2.7.2.4.1.3 "><p id="mrs_01_1957__ad2a73248ca7b4157ba239d7251e62d2e">INFO</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1957__a009828936b974022942e40336ab3531f"><strong id="mrs_01_1957__a8102a8c0f0af4cfb895a9b77e90a33b6">Example:</strong></p>
+<p id="mrs_01_1957__a0b941f5377714eb7a51739080d8151b4">To change the log level of the executor process to DEBUG dynamically, modify the <span class="parmname" id="mrs_01_1957__p04f05d5e9ab84b45b5ab63a78a552ac7"><b>spark.executor.extraJavaOptions</b></span> JVM parameter of the executor process in the <span class="filepath" id="mrs_01_1957__fe73f98d4d07742df8625d5fdc2c71928"><b>spark-defaults.conf</b></span> file and run the following command to add the following configuration before the process is started:</p>
+<pre class="screen" id="mrs_01_1957__s2bdf345f7e714cb5aea50ff840343ae3">-Dlog4j.configuration.watch=true </pre>
+<p id="mrs_01_1957__a96ba11f9e94f4a1e9c79978c33fb8a58">After the user application is submitted, change the log level in the log4j configuration file (for example, <strong id="mrs_01_1957__b1939754152015">-Dlog4j.configuration=file:${BIGDATA_HOME}/FusionInsight_Spark2x_<span id="mrs_01_1957__text18397154142018">8.1.0.1</span>/install/FusionInsight-Spark2x-<span id="mrs_01_1957__text5563355171417">3.1.1</span>/spark/conf/log4j-executor.properties</strong>) specified by the <span class="filepath" id="mrs_01_1957__filepath20397641172016"><b>-Dlog4j.configuration</b></span> parameter in <span class="parmname" id="mrs_01_1957__parmname63980418200"><b>spark.executor.extraJavaOptions</b></span> to DEBUG:</p>
+<pre class="screen" id="mrs_01_1957__sb6a3b552150e4d88b71eb58dcc4053c6">log4j.rootCategory=DEBUG, sparklog</pre>
+<p id="mrs_01_1957__a9af44a1900fd46378e1eca07b6da056a">It takes several seconds for the DEBUG level to take effect.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1941.html">Scenario-Specific Configuration</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1958.html b/docs/mrs/component-operation-guide/mrs_01_1958.html
new file mode 100644
index 000000000..0c3970441
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1958.html
@@ -0,0 +1,46 @@
+<a name="mrs_01_1958"></a><a name="mrs_01_1958"></a>
+
+<h1 class="topictitle1">Configuring Whether Spark Obtains HBase Tokens</h1>
+<div id="body1595920207028"><div class="section" id="mrs_01_1958__sa62e39c2cdd74d74902eb36a631a41d8"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1958__ae07149ee4e4c443bacaa11b61e6f8138">When Spark is used to submit tasks, the driver obtains tokens from HBase by default. To access HBase, you need to configure the <strong id="mrs_01_1958__b65651951183">jaas.conf</strong> file for security authentication. If the <strong id="mrs_01_1958__b1276754619910">jaas.conf</strong> file is not configured, the application will fail to run.</p>
+<p id="mrs_01_1958__a551f9576f1f840b9abd91e6302a24963">Therefore, perform the following operations based on whether the application involves HBase:</p>
+<ul id="mrs_01_1958__u2543ceff53274c3daa4d16dd75216f96"><li id="mrs_01_1958__ld93f94a4f4ab4b10ab1ed54f63dbead1">If the application does not involve HBase, you do not need to obtain the HBase tokens. In this case, set <strong id="mrs_01_1958__b1444013582919">spark.yarn.security.credentials.hbase.enabled</strong> to <strong id="mrs_01_1958__b0445185812915">false</strong>.</li><li id="mrs_01_1958__l01c44487c2fc4125a864b6db94c0ff68">If the application involves HBase, set <strong id="mrs_01_1958__b13535193151017">spark.yarn.security.credentials.hbase.enabled</strong> to <strong id="mrs_01_1958__b154013310107">true</strong> and configure the <strong id="mrs_01_1958__b1754023121012">jaas.conf</strong> file on the driver as follows:<pre class="screen" id="mrs_01_1958__s2e598db6b8604c2e8fad8190070b433c">{client}/spark/bin/spark-sql  --master yarn-client --principal {principal} --keytab {keytab} --driver-java-options "-Djava.security.auth.login.config={LocalPath}/jaas.conf"</pre>
+<p id="mrs_01_1958__a4d00f8d9c7a34b3ca15e97ad87248b2a">Specify Keytab and Principal in the <strong id="mrs_01_1958__b8567171771010">jaas.conf</strong> file. The following is an example:</p>
+<pre class="screen" id="mrs_01_1958__sd8f6bf95704b413a81eba215c089e4e4">Client {
+com.sun.security.auth.module.Krb5LoginModule required
+useKeyTab=true
+keyTab = "{LocalPath}/user.keytab"
+principal="<strong id="mrs_01_1958__b2020218255101">super@</strong><em id="mrs_01_1958__i15206142519105">&lt;System domain name&gt;</em>"
+useTicketCache=false
+debug=false;
+};</pre>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1958__s4207df30f119448c8b958d89b40286ae"><h4 class="sectiontitle">Configuration</h4><p id="mrs_01_1958__ac52fb826929e4271b83e42e20e7af23c">Configure the following parameter in the <strong id="mrs_01_1958__b277883011017">spark-defaults.conf</strong> file of the Spark client.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1958__t6e01e2e5a19b486caadef2ac495f1817" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1958__r0f0f70a3b53f4462a4d2daf14e57f89a"><th align="left" class="cellrowborder" valign="top" width="32.800000000000004%" id="mcps1.3.2.3.2.4.1.1"><p id="mrs_01_1958__a7ea98270112a48fb88043da3b53e59ab">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="47.25%" id="mcps1.3.2.3.2.4.1.2"><p id="mrs_01_1958__a46edfb0102474ab390481707fa084b67">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="19.950000000000003%" id="mcps1.3.2.3.2.4.1.3"><p id="mrs_01_1958__ad23cf557cdb84cc78d7276a90ca73cc2">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1958__rc077016c67a64f5ea2be829f78f7effa"><td class="cellrowborder" valign="top" width="32.800000000000004%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1958__a43ead0bc0c634592b663ef5a564393f0">spark.yarn.security.credentials.hbase.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.25%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1958__a5b2f768cb5d4485fada5db5778475b3b">Indicates whether HBase obtains a token.</p>
+<ul id="mrs_01_1958__u13db11d7f1124d8aa1685a1d98e4854d"><li id="mrs_01_1958__l93d4ca17d7924b9d97f212b409751738"><strong id="mrs_01_1958__b42496111114">true</strong>: HBase obtains a token.</li><li id="mrs_01_1958__l1d567611a91d4325ada3be78f407e97d"><strong id="mrs_01_1958__b14361171318112">false</strong>: HBase does not obtain a token.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="19.950000000000003%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1958__ae2df2df7000b4421bbc08773ec08ee45">false</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1941.html">Scenario-Specific Configuration</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1959.html b/docs/mrs/component-operation-guide/mrs_01_1959.html
new file mode 100644
index 000000000..f03895972
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1959.html
@@ -0,0 +1,46 @@
+<a name="mrs_01_1959"></a><a name="mrs_01_1959"></a>
+
+<h1 class="topictitle1">Configuring LIFO for Kafka</h1>
+<div id="body1595920207213"><div class="section" id="mrs_01_1959__s6a91d38f165a4402bd3e9cf341c2a689"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1959__a6065659c245d465680cd23765e8b4640">If the Spark Streaming application is connected to Kafka, after the Spark Streaming application is terminated abnormally and restarted from the checkpoint, the system preferentially processes the tasks that are not completed before the application is terminated (Period A) and the tasks generated based on data that enters Kafka during the period (Period B) from the application termination to the restart. Then the application processes the tasks generated based on data that enters Kafka after the application is restarted (Period C). For data that enters Kafka in period B, Spark generates a corresponding number of tasks based on the end time (<strong id="mrs_01_1959__b1980014591314">batch</strong> time). The first task reads all data, but other tasks may not read data. As a result, the task processing pressure is uneven.</p>
+<p id="mrs_01_1959__aa1fd2beb393c4d9eae085e0bce991121">If the tasks in Period A and Period B are processed slowly, the processing of tasks in period C is affected. To cope with the preceding scenario, Spark provides the last-in first-out (LIFO) function for Kafka.</p>
+<div class="fignone" id="mrs_01_1959__fec4f928f04fa4854a1bd05e404fbe905"><span class="figcap"><b>Figure 1 </b>Time axis for restarting the Spark Streaming application</span><br><span><img id="mrs_01_1959__i5654e90abc96400982c6e1ae815572e5" src="en-us_image_0000001349090165.png"></span></div>
+<p id="mrs_01_1959__a3928fde121ca4d5aba5886cab76d8dc4"></p>
+<p id="mrs_01_1959__a115b743921ab4a49b0302e5a7f0cf8c4">After this function is enabled, Spark preferentially schedules tasks in Period C. If there are multiple tasks in Period C, Spark schedules and executes the tasks in the sequence of task generation. Then Spark executes the tasks in Periods A and B. For data that enters Kafka in Period B, Spark generates tasks based on the end time and evenly distributes all data that enters Kafka in this period to each task to avoid uneven task processing pressure.</p>
+<p id="mrs_01_1959__aa34aedce02634c3e96164e405a0f9134">Constraints:</p>
+<ul id="mrs_01_1959__u46a8d1ad004a4307b96ff810e0d0f37e"><li id="mrs_01_1959__l37f2676c5ce942bfaf0261ca34b9cbaf">This function applies only to the direct mode of Spark Streaming, and the execution result does not depend on the processing result of the previous batch (that is, stateless operation, for example, <strong id="mrs_01_1959__b6287122416147">updatestatebykey</strong>). Multiple data input streams must be comparatively independent from each other. Otherwise, the result may change after the data is divided.</li><li id="mrs_01_1959__l2f3cecee45234068822b0fed84772a8a">The Kafka LIFO function can be enabled only when the application is connected to the Kafka input source.</li><li id="mrs_01_1959__l3e78f240110a482db30b13a1408ef634">If both Kafka LIFO and flow control functions are enabled when the application is submitted, the flow control function is not enabled for the data that enters Kafka in Period B to ensure that the task scheduling priority for reading the data is the lowest. Flow control is enabled for the tasks in Period C after the application is restarted.</li></ul>
+</div>
+<div class="section" id="mrs_01_1959__s262de84048aa4be48806a6905961c117"><h4 class="sectiontitle">Configuration</h4><p id="mrs_01_1959__ae2e344ffc10f45e2921970fbb856c591">Configure the following parameters in the <span class="filepath" id="mrs_01_1959__filepath87891636101516"><b>spark-defaults.conf</b></span> file on the Spark driver.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1959__t217852529201495797389ddb0db9f149" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1959__rf93091d473ed42f8a43d2ad30fb19fc7"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.3.2.4.1.1"><p id="mrs_01_1959__a450376d08b1b470ca6d137f6fb3bf839">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.3.2.4.1.2"><p id="mrs_01_1959__a2f8772091ecd48519f16811e10eae1f6">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.3.2.4.1.3"><p id="mrs_01_1959__a89798e4a3cd94167b3c5c97fe0296bc3">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1959__r4df3fa61361a4e6189178b1fe639c277"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1959__a6aed9f84d96745d7b8042426a72fc57b">spark.streaming.kafka.direct.lifo</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1959__af1bd7872bb574a6d950439e46741d707">Specifies whether to enable the LIFO function of Kafka.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1959__a1dab97188c4f4360a1f1f64c20dcdcdd">false</p>
+</td>
+</tr>
+<tr id="mrs_01_1959__row162411535540"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1959__p1224110345412">spark.streaming.kafka010.inputstream.class</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1959__p5241830542">Obtains the decoupled class on FusionInsight.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1959__p3241831544">org.apache.spark.streaming.kafka010.HWDirectKafkaInputDStream</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1941.html">Scenario-Specific Configuration</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1960.html b/docs/mrs/component-operation-guide/mrs_01_1960.html
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+<a name="mrs_01_1960"></a><a name="mrs_01_1960"></a>
+
+<h1 class="topictitle1">Configuring Reliability for Connected Kafka</h1>
+<div id="body1595920207215"><div class="section" id="mrs_01_1960__s945ef284acfe48259c73783a1187b1ab"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1960__a3aab6f162e9c4e7f90db18cf67a5a563">When the Spark Streaming application is connected to Kafka and the application is restarted, the application reads data from Kafka based on the last read topic offset and the latest offset of the current topic.</p>
+<p id="mrs_01_1960__af95710af83514c7a888600353b6730c0">If the leader of a Kafka topic fails and the offset of the Kafka leader is greatly different from that of the Kafka follower, the Kafka follower and leader are switched over after the Kafka service is restarted. As a result, the offset of the topic decreases after the Kafka service is restarted.</p>
+<ul id="mrs_01_1960__u8b5d6f6bb28c423b96b4dffdb04dacfd"><li id="mrs_01_1960__l51b38655fc044a158ec636758dddb766">If the Spark Streaming application keeps running, the start position for reading Kafka data is greater than the end position because the offset of the topic in Kafka decreases. As a result, the application cannot read data from Kafka and reports an error.</li><li id="mrs_01_1960__l6daa57a6c1514c9cb43a2a40fc0d1ab1">Before restarting the Kafka service, stop the Spark Streaming application. After the Kafka service is restarted, restart the Spark Streaming application to restore the application from the checkpoint. In this case, the Spark Streaming application records the offset position read before the termination and uses the position as the reference to read subsequent data. The Kafka offset decreases (for example, from 100,000 to 10,000). Spark Streaming consumes data only after the offset of the Kafka leader increases to 100,000. As a result, the newly sent data whose offset is between 10,000 and 100,000 is lost.</li></ul>
+<p id="mrs_01_1960__a1857c67b3f7c4527b70e13c73f25ba08">To resolve the preceding problem, you can configure reliability for Kafka connected to Spark Streaming. After the reliability function of connected Kafka is enabled:</p>
+<ul id="mrs_01_1960__uecd63b01c67b4f4d804e835ca1ce0117"><li id="mrs_01_1960__lc7a4fe78246c48f397a1c7542bab1fb9">If the offset of a topic in Kafka decreases when the Spark Streaming application is running, the latest offset of the topic in Kafka is used as the start position for reading Kafka data and subsequent data is read.<div class="p" id="mrs_01_1960__aad2bdaed058e4100b437c1a8d8864110"><a name="mrs_01_1960__lc7a4fe78246c48f397a1c7542bab1fb9"></a><a name="lc7a4fe78246c48f397a1c7542bab1fb9"></a>For a task that has been generated but has not been scheduled, if the read Kafka offset is greater than the latest offset of the topic in Kafka, the task fails to be executed.<div class="note" id="mrs_01_1960__n47dc5682977f455aadf7c8394a15ff5d"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1960__a184869444b444aa3b0f370d03bffa1aa">If a large number of tasks fail, the Executor is added to the blacklist. As a result, subsequent tasks cannot be deployed and run. If this happens, you can set <strong id="mrs_01_1960__b650911199104">spark.blacklist.enabled</strong> to disable the blacklist function. The blacklist function is enabled by default.</p>
+</div></div>
+</div>
+</li><li id="mrs_01_1960__l11a3177064944d72b0ec261a8b45857e">If the offset of a topic in Kafka decreases, the Spark Streaming application restarts to restore the unfinished tasks. If the read Kafka offset range is greater than the latest offset of the topic in Kafka, the task is directly discarded.</li></ul>
+<div class="note" id="mrs_01_1960__n5989dc49415b46a4a672b2f04b80937c"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1960__a15446030e5ec4d9ba76643cc6caa0d0c">If the state function is used in the Spark Streaming application, do not enable the reliability function of connected Kafka.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1960__s7dcce37bcb8443e797194e294e87d81e"><h4 class="sectiontitle">Configuration</h4><p id="mrs_01_1960__a55d07fbe62db4df98c017a3684fb2d0a">Configure the following parameter in the <strong id="mrs_01_1960__b1176117251117">spark-defaults.conf</strong> file of the Spark client.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1960__te9df6ee3046c40878c415240f9ae341f" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1960__r6ce6cc783db64ab8a943f9567770f08d"><th align="left" class="cellrowborder" valign="top" width="20.18%" id="mcps1.3.2.3.2.4.1.1"><p id="mrs_01_1960__ad97fcd6bec634b6c898d2c6680c9dcb3">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="63.970000000000006%" id="mcps1.3.2.3.2.4.1.2"><p id="mrs_01_1960__abe781e446b9749b8af26e475c806a773">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.85%" id="mcps1.3.2.3.2.4.1.3"><p id="mrs_01_1960__afdbdf8516e9447d192471e570234506e">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1960__ra79b1f4e874540c396a6c95702b076e4"><td class="cellrowborder" valign="top" width="20.18%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1960__ac20e576ed1b84a21a6da48d1cfdaa6b4">spark.streaming.Kafka.reliability</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.970000000000006%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1960__aabe3ab7a8c984fd1b61c826954d947af">Indicates whether to enable the reliability function for Kafka connected to Spark Streaming.</p>
+<ul id="mrs_01_1960__ub34c28b9c43e45789dc5dc45aac293b5"><li id="mrs_01_1960__le789e8afe3734aa787eaaf712d12eb0b"><strong id="mrs_01_1960__b169711146129">true</strong>: The reliability function is enabled.</li><li id="mrs_01_1960__leef342353dd848e1b8e8fd973c9c19d3"><strong id="mrs_01_1960__b73896911211">false</strong>: The reliability function is disabled.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="15.85%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1960__ad74f8c6e052449708b0a3d4e833fde36">false</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1941.html">Scenario-Specific Configuration</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1961.html b/docs/mrs/component-operation-guide/mrs_01_1961.html
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+<a name="mrs_01_1961"></a><a name="mrs_01_1961"></a>
+
+<h1 class="topictitle1">Configuring Streaming Reading of Driver Execution Results</h1>
+<div id="body1595920207216"><div class="section" id="mrs_01_1961__s7301938a48de46528f302a5a39912773"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1961__ab74bc9c0556e45a5bdad53b1d810bfd1">When a query statement is executed, the returned result may be large (containing more than 100,000 records). In this case, JDBCServer out of memory (OOM) may occur. Therefore, the data aggregation function is provided to avoid OOM without sacrificing the performance.</p>
+</div>
+<div class="section" id="mrs_01_1961__s306e853eb7fc4336a3e90c2110c0620e"><h4 class="sectiontitle">Configuration</h4><p id="mrs_01_1961__adbf5d09f38f743a7ac62802295b4c51e">Two data aggregation function configuration parameters are provided. The two parameters are set in the <strong id="mrs_01_1961__b14894114343111">tunning</strong> option on the Spark JDBCServer server. After the setting is complete, restart JDBCServer.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1961__t1dac15ae5370449ea73622cf454ab451" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1961__re69fece14b684d2dadf874cc71aeb8dd"><th align="left" class="cellrowborder" valign="top" width="20.18%" id="mcps1.3.2.3.2.4.1.1"><p id="mrs_01_1961__ac5f761679d2d4c7d9b4325b446c5dcfa">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="63.970000000000006%" id="mcps1.3.2.3.2.4.1.2"><p id="mrs_01_1961__af69382a636df40fe8b107e1103f4fc09">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="15.85%" id="mcps1.3.2.3.2.4.1.3"><p id="mrs_01_1961__a0dff0aaaca3b4ec287c495a5509397bb">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1961__rd5cbd430544b489ab268fcf3ab5d5fcb"><td class="cellrowborder" valign="top" width="20.18%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1961__aaa404b17b2904ba792a956dc2336e219">spark.sql.bigdata.thriftServer.useHdfsCollect</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.970000000000006%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1961__a3e1b0f97028243f9a8f0be5ff9ea562a">Indicates whether to save result data to HDFS instead of the memory.</p>
+<p id="mrs_01_1961__p497052611544">Advantages: The query result is stored in HDFS. Therefore, JDBCServer OOM does not occur.</p>
+<p id="mrs_01_1961__p524611195614">Disadvantages: The query is slow.</p>
+<ul id="mrs_01_1961__ue3533017daba41fea03c857fbcf5d165"><li id="mrs_01_1961__l502d4848b5eb4af19d6aab2cc487eb09"><strong id="mrs_01_1961__b18596102653210">true</strong>: Result data is saved to HDFS.</li><li id="mrs_01_1961__l43a3bd7dee78491d89d28a92e39c75bb"><strong id="mrs_01_1961__b187240546336">false</strong>: This function is disabled.<div class="notice" id="mrs_01_1961__note6531122417361"><span class="noticetitle"> NOTICE: </span><div class="noticebody"><p id="mrs_01_1961__p10531112443619">When <strong id="mrs_01_1961__b7771956133316">spark.sql.bigdata.thriftServer.useHdfsCollect</strong> is set to <strong id="mrs_01_1961__b14771125613336">true</strong>, result data is saved to HDFS. However, the job description on the native JobHistory page cannot be associated with the corresponding SQL statement. In addition, the execution ID in the spark-beeline command output is null. To solve the JDBCServer OOM problem and ensure correct information display, you are advised to set <strong id="mrs_01_1961__b77711556183313">spark.sql.userlocalFileCollect</strong>.</p>
+</div></div>
+</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="15.85%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1961__a38f561f5d2b1421c9c8214ef30f139dd">false</p>
+</td>
+</tr>
+<tr id="mrs_01_1961__row963492512568"><td class="cellrowborder" valign="top" width="20.18%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1961__p14635625135611">spark.sql.uselocalFileCollect</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.970000000000006%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1961__p163512252568">Indicates whether to save result data to the local disk instead of memory.</p>
+<p id="mrs_01_1961__p7302153517573">Advantages: In the case of small data volume, the performance loss can be ignored compared with the data storage mode using the native memory. In the case of large data volume (hundreds of millions of data records), the performance is much better than that when data is stored in the HDFS and native memory.</p>
+<p id="mrs_01_1961__p2034818145110">Disadvantages: Optimization is required. In the case of large data volume, it is recommended that the JDBCServer driver memory be 10 GB and each core of the executor be allocated with 3 GB memory.</p>
+<ul id="mrs_01_1961__ul131161844312"><li id="mrs_01_1961__li101161647314"><strong id="mrs_01_1961__b19121726104017">true</strong>: This function is enabled.</li><li id="mrs_01_1961__li1979859315"><strong id="mrs_01_1961__b15981142894015">false</strong>: This function is disabled.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="15.85%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1961__p26358252567">false</p>
+</td>
+</tr>
+<tr id="mrs_01_1961__row7937102517510"><td class="cellrowborder" valign="top" width="20.18%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1961__p10938625953">spark.sql.collect.Hive</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.970000000000006%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1961__p14938525153">This parameter is valid only when <strong id="mrs_01_1961__b31701933194016">spark.sql.uselocalFileCollect</strong> is set to <strong id="mrs_01_1961__b1917510337406">true</strong>. It indicates whether to save the result data to a disk in direct serialization mode or in indirect serialization mode.</p>
+<p id="mrs_01_1961__p1558919101188">Advantage: For queries of tables with a large number of partitions, the aggregation performance of the query results is better than that of the storage mode that query results are directly stored on the disk.</p>
+<p id="mrs_01_1961__p531055017918">Disadvantages: The disadvantages are the same as those when <strong id="mrs_01_1961__b18272122311517">spark.sql.uselocalFileCollect</strong> is enabled.</p>
+<ul id="mrs_01_1961__ul186622366611"><li id="mrs_01_1961__li159586481710"><strong id="mrs_01_1961__b1577602615511">true</strong>: This function is enabled.</li><li id="mrs_01_1961__li1066203617613"><strong id="mrs_01_1961__b14327728175116">false</strong>: This function is disabled.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="15.85%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1961__p179387251751">false</p>
+</td>
+</tr>
+<tr id="mrs_01_1961__row2014532031113"><td class="cellrowborder" valign="top" width="20.18%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1961__p414632061111">spark.sql.collect.serialize</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.970000000000006%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1961__p116626410119">This parameter takes effect only when both <strong id="mrs_01_1961__b77432032105114">spark.sql.uselocalFileCollect</strong> and <strong id="mrs_01_1961__b1274883217512">spark.sql.collect.Hive</strong> are set to <strong id="mrs_01_1961__b6749203225117">true</strong>.</p>
+<p id="mrs_01_1961__p173919546111">The function is to further improve performance.</p>
+<ul id="mrs_01_1961__ul154721427171319"><li id="mrs_01_1961__li11472172715130"><strong id="mrs_01_1961__b53391951155118">java</strong>: Data is collected in Java serialization mode.</li><li id="mrs_01_1961__li24723275134"><strong id="mrs_01_1961__b15507654125112">kryo</strong>: Data is collected in kryo serialization mode. The performance is better than that when the Java serialization mode is used.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="15.85%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1961__p11468204116">java</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_1961__note19784155311417"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1961__p2784175394113"><strong id="mrs_01_1961__b179591414105217">spark.sql.bigdata.thriftServer.useHdfsCollect</strong> and <strong id="mrs_01_1961__b1896471465215">spark.sql.uselocalFileCollect</strong> cannot be set to <strong id="mrs_01_1961__b159641614115220">true</strong> at the same time.</p>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1941.html">Scenario-Specific Configuration</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1962.html b/docs/mrs/component-operation-guide/mrs_01_1962.html
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@@ -0,0 +1,38 @@
+<a name="mrs_01_1962"></a><a name="mrs_01_1962"></a>
+
+<h1 class="topictitle1">Filtering Partitions without Paths in Partitioned Tables</h1>
+<div id="body1595920207449"><div class="section" id="mrs_01_1962__s2b62bb90c325486a84fd7e0b10f07dc1"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1962__a27da25ad871a40cbbf94feb9371d9b6f">When you perform the <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1962__c65da6d27c63f40b2bb55b6862477a542">select</span></b></i> query in Hive partitioned tables, the <strong id="mrs_01_1962__aea17bee469484532ad603985c701b6a2">FileNotFoundException</strong> exception is displayed if a specified partition path does not exist in HDFS. To avoid the preceding exception, configure <span class="parmname" id="mrs_01_1962__p4890d4c11f684c72845517b1ffba6606"><b>spark.sql.hive.verifyPartitionPath</b></span> parameter to filter partitions without paths.</p>
+</div>
+<div class="section" id="mrs_01_1962__sc495445e54174faeb746e12fd202113f"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1962__a62880744f2ca4555941c30f0cd5529ed">Perform either of the following methods to filter partitions without paths:</p>
+<ul id="mrs_01_1962__ud6beba060aa54e8d9a5fa28a49ad1e04"><li id="mrs_01_1962__lb19f47de747445f9b0605272bd1c106c">Configure the following parameter in the <span class="filepath" id="mrs_01_1962__f81c0c5358c094ee694599604b7fc6f1e"><b>spark-defaults.conf</b></span> file on Spark client.
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1962__tf162a064840b4ebb906b9fa1cf18ba20" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1962__rcaf9afdf62c64b0aa5aa13aa20709a6c"><th align="left" class="cellrowborder" valign="top" width="33.33%" id="mcps1.3.2.3.1.2.2.4.1.1"><p id="mrs_01_1962__a60a010b78f654fa0bbf73aeb3b9340e5">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="47.43%" id="mcps1.3.2.3.1.2.2.4.1.2"><p id="mrs_01_1962__a03f0f66ae9da43e29565bb82eed95f94">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="19.24%" id="mcps1.3.2.3.1.2.2.4.1.3"><p id="mrs_01_1962__a0b693d1fa3174c819e0455cbec79598f">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1962__ra36b782eb0f5428ba8bfeb717092e0e5"><td class="cellrowborder" valign="top" width="33.33%" headers="mcps1.3.2.3.1.2.2.4.1.1 "><p id="mrs_01_1962__a536d8f5eb23b4d9bb56fd0d7edc1717e">spark.sql.hive.verifyPartitionPath</p>
+</td>
+<td class="cellrowborder" valign="top" width="47.43%" headers="mcps1.3.2.3.1.2.2.4.1.2 "><p id="mrs_01_1962__aa491807fda47497e9319bad825dffb24">Whether to filter partitions without paths when reading Hive partitioned tables.</p>
+<p id="mrs_01_1962__a6abf8f5681ad47a287417fe75a85e337"><span class="parmvalue" id="mrs_01_1962__p1cbde5b4f2424a84be5012ee3bc5e564"><b>true</b></span>: enables the filtering</p>
+<p id="mrs_01_1962__a892f863c4ff0484c97aa966001cef632"><span class="parmvalue" id="mrs_01_1962__p5c4be1b03d32400d88bd6de3533b1a61"><b>false</b></span>: disables the filtering</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.24%" headers="mcps1.3.2.3.1.2.2.4.1.3 "><p id="mrs_01_1962__ac59f6f13b52541bf8e25af1c4426556e">false</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_1962__l554b31937b5b4b4c9cdae02accbd8848">When running the spark-submit command to submit an application, configure the <span class="parmname" id="mrs_01_1962__pa7806379412b48e88099bd68ed323b3a"><b>--conf</b></span> parameter to filter partitions without paths.<div class="p" id="mrs_01_1962__ab85ad508d47c49ff8a654cbe5e6ff16e">For example:<pre class="screen" id="mrs_01_1962__sb11255fc546e46959b288af8d3b4ae01">spark-submit --class org.apache.spark.examples.SparkPi  --conf spark.sql.hive.verifyPartitionPath=true $SPARK_HOME/lib/spark-examples_*.jar</pre>
+</div>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1941.html">Scenario-Specific Configuration</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1963.html b/docs/mrs/component-operation-guide/mrs_01_1963.html
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@@ -0,0 +1,95 @@
+<a name="mrs_01_1963"></a><a name="mrs_01_1963"></a>
+
+<h1 class="topictitle1">Configuring Spark2x Web UI ACLs</h1>
+<div id="body1595920207452"><div class="section" id="mrs_01_1963__s32fa4227f818472ca1401bf81446d589"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1963__a52bfa25a34044a83a7700004394414a7">Users need to implement security protection for Spark2x web UI when some data on the UI cannot be viewed by other users. Once a user attempts to log in to the UI, Spark2x can check the view ACL of the user to determine whether to allow the user to access the UI.</p>
+<p id="mrs_01_1963__a6f3bfa05fb6a444ba47204649d94d501">Spark2x has two types of web UI. One is for running tasks. You can access the web UI using the application link on the native Yarn page or the REST APIs. The other one is for ended tasks. You can access the web UI using the Spark2x JobHistory service or the REST APIs.</p>
+<div class="note" id="mrs_01_1963__note34102059125212"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1963__p124111459185212">This section applies only to clusters in security mode (with Kerberos authentication enabled).</p>
+</div></div>
+<ul id="mrs_01_1963__u104d58c2b2614dea8d6d4b620383b7e0"><li id="mrs_01_1963__laaed71f688644e3b883a871b3972397e">Configuring the ACL of the web UI for running tasks<p id="mrs_01_1963__a7460669eda284852966222f78c20ee2a"><a name="mrs_01_1963__laaed71f688644e3b883a871b3972397e"></a><a name="laaed71f688644e3b883a871b3972397e"></a>For a running task, you can set the following parameters on the server:</p>
+<ul id="mrs_01_1963__u19846c76b0df49c3aab80b7635a6aa31"><li id="mrs_01_1963__l70a0df91bee34a41aec12951a4813736"><span class="parmname" id="mrs_01_1963__pecbacc0a3a264de7ad3979997c3b8f45"><b>spark.admin.acls</b></span>: specifies the web UI administrator list.</li><li id="mrs_01_1963__l400c3dcf62534106aee79da297faa552"><strong id="mrs_01_1963__b26008417915723">spark.admin.acls.groups</strong>: specifies the administrator group list.</li><li id="mrs_01_1963__lc25e9647adc1458d93de2a8cd57a20fe"><strong id="mrs_01_1963__b27371634171513">spark.ui.view.acls</strong>: specifies the Yarn page visitor list.</li><li id="mrs_01_1963__lf6521e8bc89c4e478521cdf6d0e6815e"><strong id="mrs_01_1963__b157916117115723">spark.modify.acls.groups</strong>: specifies the Yarn page visitor group list.</li><li id="mrs_01_1963__lf9c2b619b09349be9019cbc2f55af3ab"><span class="parmname" id="mrs_01_1963__p627e215c69a44bb2a7f51ede9395c48a"><b>spark.modify.acls</b></span>: specifies the web UI modifier list.</li><li id="mrs_01_1963__l6f7ca240a39a478fa099db15f2130294"><strong id="mrs_01_1963__b15411642315723">spark.ui.view.acls.groups</strong>: specifies the web UI modifier group list.</li></ul>
+</li></ul>
+<ul id="mrs_01_1963__ue0cbc3ebbbac41639abc173e604f90f8"><li id="mrs_01_1963__le58bac23ab3b43f68ac1c79d3fa5af20">Configuring the ACL of the web UI for ended tasks<p id="mrs_01_1963__abe7caa6997724720ae355cd98950835a"><a name="mrs_01_1963__le58bac23ab3b43f68ac1c79d3fa5af20"></a><a name="le58bac23ab3b43f68ac1c79d3fa5af20"></a>For ended tasks, use client parameter <strong id="mrs_01_1963__b16444112451620">spark.history.ui.acls.enable</strong> to enable or disable the ACL access permission.</p>
+<p id="mrs_01_1963__a3cb8c67acaa840cc8288284ddaedb927">If ACL control is enabled, configure client parameters <strong id="mrs_01_1963__b21499116615723">spark.admin.acls</strong> and <strong id="mrs_01_1963__b132683532215723">spark.admin.acls.groups</strong> to specify the web UI administrator list and administrator group list. Use client parameters <strong id="mrs_01_1963__b112272948215723">spark.ui.view.acls</strong> and <strong id="mrs_01_1963__b77079913115723">spark.modify.acls.groups</strong> to specify the visitor list and visitor group list that view web UI task details. Use client parameters <strong id="mrs_01_1963__b63129495415723">spark.modify.acls</strong> and <strong id="mrs_01_1963__b117275829015723">spark.ui.view.acls.groups</strong> to specify the visitor list and group list that modify web UI task details.</p>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1963__s7774b9f57bd54f17ae3c46a93eeb694b"><h4 class="sectiontitle">Configuration</h4><p id="mrs_01_1963__a75333a8db72b4600adde33ea06d571e5">Log in to FusionInsight Manager, choose <strong id="mrs_01_1963__b5847359178">Cluster &gt; <em id="mrs_01_1963__i147833519178">Name of the desired cluster</em> &gt; Services &gt; Spark2x &gt; Configurations</strong>, click <strong id="mrs_01_1963__b118510354173">All Configurations</strong>, search for <strong id="mrs_01_1963__b9861335101718">acl</strong>, and modify the following parameters on the JobHistory, JDBCServer, SparkResource, and Spark pages.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1963__t18af5fbd3aeb4bda8d13de81ed31f812" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1963__r74395b638f4442e3aab246ff89b4f414"><th align="left" class="cellrowborder" valign="top" width="27.30726927307269%" id="mcps1.3.2.3.2.4.1.1"><p id="mrs_01_1963__a1f516e63d9e642069c06eb1b4f809563"><strong id="mrs_01_1963__a744ab93a07754850a5f6c727a33e62e1">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="49.54504549545046%" id="mcps1.3.2.3.2.4.1.2"><p id="mrs_01_1963__af9566f38e89e419f83b61605b532f7ad"><strong id="mrs_01_1963__a6645dddca1604ff3a7c65c302142e2da">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="23.147685231476853%" id="mcps1.3.2.3.2.4.1.3"><p id="mrs_01_1963__ac817ca09e627493cb99f5b57d2943bd6"><strong id="mrs_01_1963__adff60dc7bdc24a8aaa6c1b5c6630331e">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1963__rd52556c4569841b3a5e5a2ebdfcb3b56"><td class="cellrowborder" valign="top" width="27.30726927307269%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1963__a8730576580684096ade68e478ed89676">spark.history.ui.acls.enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.54504549545046%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1963__en-us_topic_0085589585_p588669114532">Indicates whether JobHistory supports the permission verification of a single task.</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.147685231476853%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1963__a127d9457c2354fe4a7bec8540121af54">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1963__rf534b3c540af486495ea96f84d00a611"><td class="cellrowborder" valign="top" width="27.30726927307269%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1963__a212f39c527724100ad10bcb2b85d841a">spark.acls.enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.54504549545046%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1963__afb41ff2ed61c4b55aeb09c23e09aafc6">Indicates whether to enable Spark permission management.</p>
+<p id="mrs_01_1963__a20ef86b2bd394275b8cf9a4ba1804313">If this function is enabled, the system checks whether the user has the permission to access and modify task information.</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.147685231476853%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1963__a037c12ec9a8e4344b2f9402486b8d871">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1963__rf06831f12ff947a7840fb31bb28dbcc3"><td class="cellrowborder" valign="top" width="27.30726927307269%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1963__a5bf8f7530faa4490a7b3f4d759d37b1d">spark.admin.acls</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.54504549545046%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1963__a8bfecb91e36f4722a805b045ecd1155d">Indicates the list of Spark administrators. All members in the list have the rights to manage all Spark tasks. You can configure multiple administrators and separate them from each other using commas (,).</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.147685231476853%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1963__ab14565a2d9c94dc3b3af18784bb309a1">admin</p>
+</td>
+</tr>
+<tr id="mrs_01_1963__re2e73b4fe63e4eb886315e35ba1d6217"><td class="cellrowborder" valign="top" width="27.30726927307269%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1963__a760d852580b74a43a942d8e7016d7792">spark.admin.acls.groups</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.54504549545046%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1963__aba15ad741b3141ada19d665f8696c8d1">Indicates the list of Spark administrator groups. All groups in the list have the permission to manage all Spark tasks. You can configure multiple administrator groups and separate them from each other using commas (,).</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.147685231476853%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1963__a3d3cd2933fca4963a41eacb672bf72f6">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1963__r5b6b4faae9da4317bcee55a009f5d7f8"><td class="cellrowborder" valign="top" width="27.30726927307269%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1963__a153010fe5dbb4545a9b1aa7cd27c3508">spark.modify.acls</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.54504549545046%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1963__af1159cb881d84169879eb46aae64f9f0">Indicates the list of members that have the permission to modify Spark tasks. By default, the user who starts a task has the permission to modify the task. You can configure multiple users and separate them from each other using commas (,).</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.147685231476853%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1963__a927eb1ee79854432b223acd1703a2bab">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1963__ra8de0c8bb93a44bcb3543d9aae2fe546"><td class="cellrowborder" valign="top" width="27.30726927307269%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1963__a99d5508e5c1a44f6bd006caae03be124">spark.modify.acls.groups</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.54504549545046%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1963__a98c4d9a027d9493b808253f143713a91">Indicates the list of groups that have the permission to modify Spark tasks. You can configure multiple groups and separate them from each other using commas (,).</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.147685231476853%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1963__a666d9bab186a4302a9448fd849310dc7">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1963__rd5b976446214423ab0b2279db4a4537b"><td class="cellrowborder" valign="top" width="27.30726927307269%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1963__a6dabef1c1c26409d9e8dc8d21f763772">spark.ui.view.acls</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.54504549545046%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1963__a8d4e9cdfac1c4e1a978c51a2542cf5ba">Indicates the list of members that have the permission to access Spark tasks. By default, the user who starts a task has the permission to modify the task. You can configure multiple users and separate them from each other using commas (,).</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.147685231476853%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1963__a6114f61af34247e89b0b11801d703fb4">-</p>
+</td>
+</tr>
+<tr id="mrs_01_1963__rcda06bf50c6d4c12b4204b5be734e782"><td class="cellrowborder" valign="top" width="27.30726927307269%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1963__a5b2429f2781244e9b4b6eaa5dd8970f0"></p>
+<p id="mrs_01_1963__a9a67ab81c9c348d182a3e58425954e87">spark.ui.view.acls.groups</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.54504549545046%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1963__a3c92aa8f4f7343b3ad64981446c96e62">Indicates the list of groups that have the permission to access Spark tasks. You can configure multiple groups and separate them from each other using commas (,).</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.147685231476853%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1963__a9c389ad5ae27430aad0a2040c3de1e63">-</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_1963__n0ba3da7a98444611a4487f5db4536ccb"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1963__a29465266dfa7492fb8d224a77585af9a">If you use a client to submit tasks, you must download the client again after modifying the <strong id="mrs_01_1963__b43048138015723">spark.admin.acls</strong>, <strong id="mrs_01_1963__b83946295815723">spark.admin.acls.groups</strong>, <strong id="mrs_01_1963__b192331993215723">spark.modify.acls</strong>, <strong id="mrs_01_1963__b144680351515723">spark.modify.acls.groups</strong>, <strong id="mrs_01_1963__b19651651915723">spark.ui.view.acls</strong>, and <strong id="mrs_01_1963__b189197612715723">spark.ui.view.acls.groups</strong> parameters. </p>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1941.html">Scenario-Specific Configuration</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1964.html b/docs/mrs/component-operation-guide/mrs_01_1964.html
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+<a name="mrs_01_1964"></a><a name="mrs_01_1964"></a>
+
+<h1 class="topictitle1">Configuring Vector-based ORC Data Reading</h1>
+<div id="body1595920207454"><div class="section" id="mrs_01_1964__section10411113113617"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1964__p8060118">ORC is a column-based storage format in the Hadoop ecosystem. It originates from Apache Hive and is used to reduce the Hadoop data storage space and accelerate the Hive query speed. Similar to Parquet, ORC is not a pure column-based storage format. In the ORC format, the entire table is split based on the row group, data in each row group is stored by column, and data is compressed as much as possible to reduce storage space consumption. Vector-based ORC data reading significantly improves the ORC data reading performance. In Spark2.3, SparkSQL supports vector-based ORC data reading (this function is supported in earlier Hive versions). Vector-based ORC data reading improves the data reading performance by multiple times.</p>
+<div class="p" id="mrs_01_1964__p18750184218255">This feature can be enabled by using the following parameter.<ul id="mrs_01_1964__u19846c76b0df49c3aab80b7635a6aa31"><li id="mrs_01_1964__l70a0df91bee34a41aec12951a4813736"><strong id="mrs_01_1964__b14249732622935">spark.sql.orc.enableVectorizedReader</strong>: specifies whether vector-based ORC data reading is supported. The default value is <strong id="mrs_01_1964__b111315211822935">true</strong>.</li><li id="mrs_01_1964__l400c3dcf62534106aee79da297faa552"><strong id="mrs_01_1964__b14921864522935">spark.sql.codegen.wholeStage</strong>: specifies whether to compile all stages of multiple operations into a Java method. The default value is <strong id="mrs_01_1964__b93892637222935">true</strong>.</li><li id="mrs_01_1964__lc25e9647adc1458d93de2a8cd57a20fe"><strong id="mrs_01_1964__b141458227122935">spark.sql.codegen.maxFields</strong>: specifies the maximum number of fields (including nested fields) supported by all stages of codegen. The default value is <strong id="mrs_01_1964__b63179241622935">100</strong>.</li><li id="mrs_01_1964__lf6521e8bc89c4e478521cdf6d0e6815e"><strong id="mrs_01_1964__b178638080222935">spark.sql.orc.impl</strong>: specifies whether Hive or Spark SQL native is used as the SQL execution engine to read ORC data. The default value is <strong id="mrs_01_1964__b1393199822935">hive</strong>.</li></ul>
+</div>
+</div>
+<div class="section" id="mrs_01_1964__section10192121173713"><h4 class="sectiontitle">Parameters</h4><p id="mrs_01_1964__p18420142117236">Log in to FusionInsight Manager, choose <span id="mrs_01_1964__text250205222935"><strong id="mrs_01_1964__b34042744222935">Cluster</strong> &gt; <em id="mrs_01_1964__i193470343322935">Name of the desired cluster</em></span> &gt; <strong id="mrs_01_1964__b104007188222935">Services</strong> &gt; <strong id="mrs_01_1964__b20161686022935">Spark2x</strong>, click the <strong id="mrs_01_1964__b127684658822935">Configurations</strong> tab and then <strong id="mrs_01_1964__b92135840522935">All Configurations</strong>, and search for the following parameters.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1964__t18af5fbd3aeb4bda8d13de81ed31f812" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1964__r74395b638f4442e3aab246ff89b4f414"><th align="left" class="cellrowborder" valign="top" width="25.25%" id="mcps1.3.2.3.1.5.1.1"><p id="mrs_01_1964__a1f516e63d9e642069c06eb1b4f809563"><strong id="mrs_01_1964__a744ab93a07754850a5f6c727a33e62e1">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="39.04%" id="mcps1.3.2.3.1.5.1.2"><p id="mrs_01_1964__af9566f38e89e419f83b61605b532f7ad"><strong id="mrs_01_1964__a6645dddca1604ff3a7c65c302142e2da">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="14.469999999999999%" id="mcps1.3.2.3.1.5.1.3"><p id="mrs_01_1964__ac817ca09e627493cb99f5b57d2943bd6"><strong id="mrs_01_1964__adff60dc7bdc24a8aaa6c1b5c6630331e">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="21.240000000000002%" id="mcps1.3.2.3.1.5.1.4"><p id="mrs_01_1964__p194216554016">Value Range</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1964__rd52556c4569841b3a5e5a2ebdfcb3b56"><td class="cellrowborder" valign="top" width="25.25%" headers="mcps1.3.2.3.1.5.1.1 "><p id="mrs_01_1964__a8730576580684096ade68e478ed89676">spark.sql.orc.enableVectorizedReader</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.04%" headers="mcps1.3.2.3.1.5.1.2 "><p id="mrs_01_1964__p1939015105391">Specifies whether vector-based ORC data reading is supported. The default value is <strong id="mrs_01_1964__b129184503322935">true</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.469999999999999%" headers="mcps1.3.2.3.1.5.1.3 "><p id="mrs_01_1964__a127d9457c2354fe4a7bec8540121af54">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.3.1.5.1.4 "><p id="mrs_01_1964__p183701959143911">[true,false]</p>
+</td>
+</tr>
+<tr id="mrs_01_1964__rf534b3c540af486495ea96f84d00a611"><td class="cellrowborder" valign="top" width="25.25%" headers="mcps1.3.2.3.1.5.1.1 "><p id="mrs_01_1964__p57061235386">spark.sql.codegen.wholeStage</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.04%" headers="mcps1.3.2.3.1.5.1.2 "><p id="mrs_01_1964__p1083982493913">Specifies whether to compile all stages of multiple operations into a Java method. The default value is <strong id="mrs_01_1964__b96444209822935">true</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.469999999999999%" headers="mcps1.3.2.3.1.5.1.3 "><p id="mrs_01_1964__a037c12ec9a8e4344b2f9402486b8d871">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.3.1.5.1.4 "><p id="mrs_01_1964__p18370165912393">[true,false]</p>
+</td>
+</tr>
+<tr id="mrs_01_1964__rf06831f12ff947a7840fb31bb28dbcc3"><td class="cellrowborder" valign="top" width="25.25%" headers="mcps1.3.2.3.1.5.1.1 "><p id="mrs_01_1964__a5bf8f7530faa4490a7b3f4d759d37b1d">spark.sql.codegen.maxFields</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.04%" headers="mcps1.3.2.3.1.5.1.2 "><p id="mrs_01_1964__p18541133103915">Specifies the maximum number of fields (including nested fields) supported by all stages of codegen. The default value is <strong id="mrs_01_1964__b3618445922935">100</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.469999999999999%" headers="mcps1.3.2.3.1.5.1.3 "><p id="mrs_01_1964__ab14565a2d9c94dc3b3af18784bb309a1">100</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.3.1.5.1.4 "><p id="mrs_01_1964__p537011599391">Greater than 0</p>
+</td>
+</tr>
+<tr id="mrs_01_1964__re2e73b4fe63e4eb886315e35ba1d6217"><td class="cellrowborder" valign="top" width="25.25%" headers="mcps1.3.2.3.1.5.1.1 "><p id="mrs_01_1964__a760d852580b74a43a942d8e7016d7792">spark.sql.orc.impl</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.04%" headers="mcps1.3.2.3.1.5.1.2 "><p id="mrs_01_1964__aba15ad741b3141ada19d665f8696c8d1">Specifies whether Hive or Spark SQL native is used as the SQL execution engine to read ORC data. The default value is <strong id="mrs_01_1964__b146482617322935">hive</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.469999999999999%" headers="mcps1.3.2.3.1.5.1.3 "><p id="mrs_01_1964__a3d3cd2933fca4963a41eacb672bf72f6">hive</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.3.1.5.1.4 "><p id="mrs_01_1964__p12370145913912">[hive,native]</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_1964__n0ba3da7a98444611a4487f5db4536ccb"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ol id="mrs_01_1964__ol1780314834410"><li id="mrs_01_1964__li128034486442">To use vector-based ORC data reading of SparkSQL, the following conditions must be met:<ul id="mrs_01_1964__ul9746437184914"><li id="mrs_01_1964__li197461637154918"><strong id="mrs_01_1964__b158388431522935">spark.sql.orc.enableVectorizedReader</strong> must be set to <strong id="mrs_01_1964__b20756312222935">true</strong> (default value). Generally, the value is not changed.</li><li id="mrs_01_1964__li2746133784915"><strong id="mrs_01_1964__b182009417822935">spark.sql.codegen.wholeStage</strong> must be set to <strong id="mrs_01_1964__b39845349322935">true</strong> (default value). Generally, the value is not changed.</li><li id="mrs_01_1964__li19746133734914">The value of <strong id="mrs_01_1964__b143615367922935">spark.sql.codegen.maxFields</strong> must be greater than or equal to the number of columns in scheme.</li><li id="mrs_01_1964__li177461837134912">All data is of the AtomicType. Specifically, data is not null or of the UDT, array, or map type. If there is data of the preceding types, expected performance cannot be obtained.</li><li id="mrs_01_1964__li1571252325017"><strong id="mrs_01_1964__b82212216022935">spark.sql.orc.impl</strong> must be set to <strong id="mrs_01_1964__b14212804922935">native</strong>. The default value is <strong id="mrs_01_1964__b48629449422935">hive</strong>.</li></ul>
+</li><li id="mrs_01_1964__li880319484443">If a task is submitted using the client, modification of the following parameters takes effect only after you download the client again: <span class="parmname" id="mrs_01_1964__parmname171289781422935"><b>spark.sql.orc.enableVectorizedReader</b></span>, <span class="parmname" id="mrs_01_1964__parmname85236663022935"><b>spark.sql.codegen.wholeStage</b></span>, <span class="parmname" id="mrs_01_1964__parmname152304814322935"><b>spark.sql.codegen.maxFields</b></span>, and <span class="parmname" id="mrs_01_1964__parmname86290483922935"><b>spark.sql.orc.impl</b></span>.</li></ol>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1941.html">Scenario-Specific Configuration</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1965"></a><a name="mrs_01_1965"></a>
+
+<h1 class="topictitle1">Broaden Support for Hive Partition Pruning Predicate Pushdown</h1>
+<div id="body1595920207455"><div class="section" id="mrs_01_1965__section10411113113617"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1965__p18750184218255">In earlier versions, the predicate for pruning Hive table partitions is pushed down. Only comparison expressions between column names and integers or character strings can be pushed down. In version 2.3, pushdown of the null, in, and, or expressions are supported.</p>
+</div>
+<div class="section" id="mrs_01_1965__section10192121173713"><h4 class="sectiontitle">Parameters</h4><p id="mrs_01_1965__p18420142117236">Log in to FusionInsight Manager and choose <span id="mrs_01_1965__text177911258585"><strong id="mrs_01_1965__b9790145145819">Cluster</strong> &gt; <em id="mrs_01_1965__i187915511580">Name of the desired cluster</em></span> &gt; <strong id="mrs_01_1965__b127918545813">Services</strong> &gt; <strong id="mrs_01_1965__b14792165115815">Spark2x</strong>. On the page that is displayed, click the <strong id="mrs_01_1965__b47922575815">Configurations</strong> tab then the <strong id="mrs_01_1965__b379212595815">All Configurations</strong> sub-tab, and search for the following parameters:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1965__t18af5fbd3aeb4bda8d13de81ed31f812" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1965__r74395b638f4442e3aab246ff89b4f414"><th align="left" class="cellrowborder" valign="top" width="25.25%" id="mcps1.3.2.3.1.5.1.1"><p id="mrs_01_1965__a1f516e63d9e642069c06eb1b4f809563"><strong id="mrs_01_1965__a744ab93a07754850a5f6c727a33e62e1">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="39.04%" id="mcps1.3.2.3.1.5.1.2"><p id="mrs_01_1965__af9566f38e89e419f83b61605b532f7ad"><strong id="mrs_01_1965__a6645dddca1604ff3a7c65c302142e2da">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="14.469999999999999%" id="mcps1.3.2.3.1.5.1.3"><p id="mrs_01_1965__ac817ca09e627493cb99f5b57d2943bd6"><strong id="mrs_01_1965__adff60dc7bdc24a8aaa6c1b5c6630331e">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="21.240000000000002%" id="mcps1.3.2.3.1.5.1.4"><p id="mrs_01_1965__p194216554016"><strong id="mrs_01_1965__b165391436015">Value Range</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1965__rd52556c4569841b3a5e5a2ebdfcb3b56"><td class="cellrowborder" valign="top" width="25.25%" headers="mcps1.3.2.3.1.5.1.1 "><p id="mrs_01_1965__a8730576580684096ade68e478ed89676">spark.sql.hive.advancedPartitionPredicatePushdown.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.04%" headers="mcps1.3.2.3.1.5.1.2 "><p id="mrs_01_1965__p1950716810280">Specifies whether to broaden the support for Hive partition pruning predicate pushdown.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.469999999999999%" headers="mcps1.3.2.3.1.5.1.3 "><p id="mrs_01_1965__a127d9457c2354fe4a7bec8540121af54">true</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.3.1.5.1.4 "><p id="mrs_01_1965__p183701959143911">[true,false]</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1941.html">Scenario-Specific Configuration</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1966"></a><a name="mrs_01_1966"></a>
+
+<h1 class="topictitle1">Hive Dynamic Partition Overwriting Syntax</h1>
+<div id="body1595920207457"><div class="section" id="mrs_01_1966__section10411113113617"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1966__p78497146301">In earlier versions, when the <strong id="mrs_01_1966__b1953144922616">insert overwrite</strong> syntax is used to overwrite partition tables, only partitions with specified expressions are matched, and partitions without specified expressions are deleted. In Spark2.3, partitions without specified expressions are automatically matched. The syntax is the same as that of the dynamic partition matching syntax of Hive.</p>
+</div>
+<div class="section" id="mrs_01_1966__section10192121173713"><h4 class="sectiontitle">Parameters</h4><p id="mrs_01_1966__p18420142117236">Log in to FusionInsight Manager, choose <span id="mrs_01_1966__text98370805315823"><strong id="mrs_01_1966__b188750575715823">Cluster</strong> &gt; <em id="mrs_01_1966__i28886296815823">Name of the desired cluster</em></span> &gt; <strong id="mrs_01_1966__b202350382615823">Services</strong> &gt; <strong id="mrs_01_1966__b139418414115823">Spark2x</strong> &gt; <strong id="mrs_01_1966__b73050395815823">Configurations</strong>, click <strong id="mrs_01_1966__b12624612515823">All Configurations</strong>, and search for the following parameter.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1966__t18af5fbd3aeb4bda8d13de81ed31f812" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1966__r74395b638f4442e3aab246ff89b4f414"><th align="left" class="cellrowborder" valign="top" width="25.25%" id="mcps1.3.2.3.1.5.1.1"><p id="mrs_01_1966__a1f516e63d9e642069c06eb1b4f809563"><strong id="mrs_01_1966__a744ab93a07754850a5f6c727a33e62e1">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="39.04%" id="mcps1.3.2.3.1.5.1.2"><p id="mrs_01_1966__af9566f38e89e419f83b61605b532f7ad"><strong id="mrs_01_1966__a6645dddca1604ff3a7c65c302142e2da">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="14.469999999999999%" id="mcps1.3.2.3.1.5.1.3"><p id="mrs_01_1966__ac817ca09e627493cb99f5b57d2943bd6"><strong id="mrs_01_1966__adff60dc7bdc24a8aaa6c1b5c6630331e">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="21.240000000000002%" id="mcps1.3.2.3.1.5.1.4"><p id="mrs_01_1966__p194216554016"><strong id="mrs_01_1966__b1634985784715">Value Range</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1966__rd52556c4569841b3a5e5a2ebdfcb3b56"><td class="cellrowborder" valign="top" width="25.25%" headers="mcps1.3.2.3.1.5.1.1 "><p id="mrs_01_1966__p182591534143017">spark.sql.sources.partitionOverwriteMode</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.04%" headers="mcps1.3.2.3.1.5.1.2 "><p id="mrs_01_1966__p932104920304">Specifies the mode for inserting data in partition tables by running the <strong id="mrs_01_1966__b111923492715823">insert overwrite</strong> command, which can be <strong id="mrs_01_1966__b4738059815823">STATIC</strong> or <strong id="mrs_01_1966__b196917240215823">DYNAMIC</strong>. When it is set to <strong id="mrs_01_1966__b17806255102614">STATIC</strong>, Spark deletes all partitions based on the matching conditions. When it is set to <strong id="mrs_01_1966__b149746465415823">DYNAMIC</strong>, Spark matches partitions based on matching conditions and dynamically matches partitions without specified conditions.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.469999999999999%" headers="mcps1.3.2.3.1.5.1.3 "><p id="mrs_01_1966__p1512655833011">STATIC</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.3.1.5.1.4 "><p id="mrs_01_1966__p183701959143911">[STATIC,DYNAMIC]</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1941.html">Scenario-Specific Configuration</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1967.html b/docs/mrs/component-operation-guide/mrs_01_1967.html
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+<a name="mrs_01_1967"></a><a name="mrs_01_1967"></a>
+
+<h1 class="topictitle1">Configuring the Column Statistics Histogram to Enhance the CBO Accuracy</h1>
+<div id="body1595920207459"><div class="section" id="mrs_01_1967__section10411113113617"><h4 class="sectiontitle">Scenarios</h4><p id="mrs_01_1967__p121121936101519">The execution plan for SQL statements is optimized in Spark. Common optimization rules are heuristic optimization rules. Heuristic optimization rules are provided based on the characteristics of logical plans, and the data characteristics and the execution costs of operators are not considered. Spark 2.20 introduces the Cost-Based Optimization (CBO). CBO collects statistics on tables and columns and estimates the number of output records and size of each operator in bytes based on the input data sets of operators, which is the cost of executing an operator.</p>
+<p id="mrs_01_1967__p546317401157">CBO will adjust the execution plan to minimize the end-to-end query time. The main points are as follows:</p>
+<ul id="mrs_01_1967__ul1233903981610"><li id="mrs_01_1967__li7144954193620">Filter out irrelevant data as soon as possible.</li><li id="mrs_01_1967__li6339163901615">Minimize the cost of each operator.</li></ul>
+<p id="mrs_01_1967__p188116919371">The CBO optimization process is divided into two steps:</p>
+<ol id="mrs_01_1967__ol92571224191617"><li id="mrs_01_1967__li9257182413163">Collect statistics.</li><li id="mrs_01_1967__li18324827151610">Estimate the output data sets of a specific operator based on the input data sets.</li></ol>
+<p id="mrs_01_1967__p186608581011">Table-level statistics includes: number of records and the total size of a table data file.</p>
+<p id="mrs_01_1967__p177501572371">Column-level statistics includes: number of unique values, maximum value, minimum value, number of null values, average length, maximum length, and the histogram.</p>
+<p id="mrs_01_1967__p875017573378">After the statistics is obtained, the execution cost of operators can be estimated. Common operators include filter and join operators.</p>
+<p id="mrs_01_1967__p4845148175513">Histogram is a type of column statistics. It can clearly describe the distribution of column data. The column data is distributed to a specified number of bins that are displayed in ascending order by size. The upper and lower limits of each bin are calculated. The amount of data in all bins is the same (a contour histogram). After the data is distributed, the cost estimation of each operator is more accurate and the optimization effect is better.</p>
+<p id="mrs_01_1967__p692116196388">This feature can be enabled by using the following parameter.</p>
+<p id="mrs_01_1967__p6921181914388"><strong id="mrs_01_1967__b169211319163818">spark.sql.statistics.histogram.enabled</strong>: specifies whether to enable the histogram function. The default value is <strong id="mrs_01_1967__b4921151923819">false</strong>.</p>
+</div>
+<div class="section" id="mrs_01_1967__section10192121173713"><h4 class="sectiontitle">Parameter Configuration</h4><p id="mrs_01_1967__p18420142117236">Log in to FusionInsight Manager, choose <strong id="mrs_01_1967__b12293512913">Cluster &gt; </strong><em id="mrs_01_1967__i132319512919">Name of the desired cluster</em><strong id="mrs_01_1967__b2229135091"> &gt; Service<span id="mrs_01_1967__ph35891049381">s</span> </strong>&gt; <strong id="mrs_01_1967__a6bda9b42e87d47b8ba33b7bcf8d7f67a">Spark2x </strong>&gt;<strong id="mrs_01_1967__a2de281bd0b564000af0ee3a02fb2e53b"> Configuration<span id="mrs_01_1967__ph39042614382">s</span></strong>, click <strong id="mrs_01_1967__b1120103653810">All Configurations</strong>, and search for the following parameters.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1967__t18af5fbd3aeb4bda8d13de81ed31f812" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1967__r74395b638f4442e3aab246ff89b4f414"><th align="left" class="cellrowborder" valign="top" width="28.51%" id="mcps1.3.2.3.1.5.1.1"><p id="mrs_01_1967__p133961646163819">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="35.78%" id="mcps1.3.2.3.1.5.1.2"><p id="mrs_01_1967__p13396446173813">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="14.469999999999999%" id="mcps1.3.2.3.1.5.1.3"><p id="mrs_01_1967__p2396134693810">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="21.240000000000002%" id="mcps1.3.2.3.1.5.1.4"><p id="mrs_01_1967__p15396446163812">Value Range</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1967__rd52556c4569841b3a5e5a2ebdfcb3b56"><td class="cellrowborder" valign="top" width="28.51%" headers="mcps1.3.2.3.1.5.1.1 "><p id="mrs_01_1967__p1924523132215">spark.sql.cbo.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.78%" headers="mcps1.3.2.3.1.5.1.2 "><p id="mrs_01_1967__p424516513917">Enables CBO to estimate the statistics for the execution plan.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.469999999999999%" headers="mcps1.3.2.3.1.5.1.3 "><p id="mrs_01_1967__a127d9457c2354fe4a7bec8540121af54">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.3.1.5.1.4 "><p id="mrs_01_1967__p183701959143911">[true,false]</p>
+</td>
+</tr>
+<tr id="mrs_01_1967__rf534b3c540af486495ea96f84d00a611"><td class="cellrowborder" valign="top" width="28.51%" headers="mcps1.3.2.3.1.5.1.1 "><p id="mrs_01_1967__p57061235386">spark.sql.cbo.joinReorder.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.78%" headers="mcps1.3.2.3.1.5.1.2 "><p id="mrs_01_1967__p1124545123910">Enables CBO join for reordering.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.469999999999999%" headers="mcps1.3.2.3.1.5.1.3 "><p id="mrs_01_1967__p75562417295">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.3.1.5.1.4 "><p id="mrs_01_1967__p18370165912393">[true,false]</p>
+</td>
+</tr>
+<tr id="mrs_01_1967__rf06831f12ff947a7840fb31bb28dbcc3"><td class="cellrowborder" valign="top" width="28.51%" headers="mcps1.3.2.3.1.5.1.1 "><p id="mrs_01_1967__p126571037192216">spark.sql.cbo.joinReorder.dp.threshold</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.78%" headers="mcps1.3.2.3.1.5.1.2 "><p id="mrs_01_1967__p62453516396">Specifies the maximum number of nodes that can be joined in the dynamic planning algorithm.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.469999999999999%" headers="mcps1.3.2.3.1.5.1.3 "><p id="mrs_01_1967__ab14565a2d9c94dc3b3af18784bb309a1">12</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.3.1.5.1.4 "><p id="mrs_01_1967__p537011599391">&gt;=1</p>
+</td>
+</tr>
+<tr id="mrs_01_1967__re2e73b4fe63e4eb886315e35ba1d6217"><td class="cellrowborder" valign="top" width="28.51%" headers="mcps1.3.2.3.1.5.1.1 "><p id="mrs_01_1967__p141824423224">spark.sql.cbo.joinReorder.card.weight</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.78%" headers="mcps1.3.2.3.1.5.1.2 "><p id="mrs_01_1967__p824525173914">Specifies the proportion of dimension (number of rows) in the comparison of planned cost during reconnection: Number of rows x Proportion of dimension + File size x (1 - Proportion of dimension)</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.469999999999999%" headers="mcps1.3.2.3.1.5.1.3 "><p id="mrs_01_1967__a3d3cd2933fca4963a41eacb672bf72f6">0.7</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.3.1.5.1.4 "><p id="mrs_01_1967__p25311742308">0-1</p>
+</td>
+</tr>
+<tr id="mrs_01_1967__row14963201782316"><td class="cellrowborder" valign="top" width="28.51%" headers="mcps1.3.2.3.1.5.1.1 "><p id="mrs_01_1967__p149654179238">spark.sql.statistics.size.autoUpdate.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.78%" headers="mcps1.3.2.3.1.5.1.2 "><p id="mrs_01_1967__p1024535183917">Enables the function of automatically updating the table size when the table data volume changes. Note: If there are a large number of data files in a table, this operation is time consume, and the data processing speed is reduced.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.469999999999999%" headers="mcps1.3.2.3.1.5.1.3 "><p id="mrs_01_1967__p10965191713239">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.3.1.5.1.4 "><p id="mrs_01_1967__p15542121510339">[true,false]</p>
+</td>
+</tr>
+<tr id="mrs_01_1967__row159641439102318"><td class="cellrowborder" valign="top" width="28.51%" headers="mcps1.3.2.3.1.5.1.1 "><p id="mrs_01_1967__p296553912314">spark.sql.statistics.histogram.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.78%" headers="mcps1.3.2.3.1.5.1.2 "><p id="mrs_01_1967__p72451957395">After this function is enabled, a histogram is generated when column statistics is collected. Histogram can improve the estimation accuracy, but collecting histogram information requires additional workload.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.469999999999999%" headers="mcps1.3.2.3.1.5.1.3 "><p id="mrs_01_1967__p0965939192316">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.3.1.5.1.4 "><p id="mrs_01_1967__p1552674116273">[true,false]</p>
+</td>
+</tr>
+<tr id="mrs_01_1967__row172921244122317"><td class="cellrowborder" valign="top" width="28.51%" headers="mcps1.3.2.3.1.5.1.1 "><p id="mrs_01_1967__p7292444162311">spark.sql.statistics.histogram.numBins</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.78%" headers="mcps1.3.2.3.1.5.1.2 "><p id="mrs_01_1967__p20245195183919">Specifies the number of bins for the generated histogram.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.469999999999999%" headers="mcps1.3.2.3.1.5.1.3 "><p id="mrs_01_1967__p112922044162317">254</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.3.1.5.1.4 "><p id="mrs_01_1967__p3675202818284">&gt;=2</p>
+</td>
+</tr>
+<tr id="mrs_01_1967__row3949547132319"><td class="cellrowborder" valign="top" width="28.51%" headers="mcps1.3.2.3.1.5.1.1 "><p id="mrs_01_1967__p16949147132320">spark.sql.statistics.ndv.maxError</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.78%" headers="mcps1.3.2.3.1.5.1.2 "><p id="mrs_01_1967__p1224718553919">Specifies the maximum estimation deviation allowed by the HyperLogLog++ algorithm when the column level statistics is generated.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.469999999999999%" headers="mcps1.3.2.3.1.5.1.3 "><p id="mrs_01_1967__p19491347122313">0.05</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.3.1.5.1.4 "><p id="mrs_01_1967__p3949154718236">0-1</p>
+</td>
+</tr>
+<tr id="mrs_01_1967__row132011093243"><td class="cellrowborder" valign="top" width="28.51%" headers="mcps1.3.2.3.1.5.1.1 "><p id="mrs_01_1967__p020111992415">spark.sql.statistics.percentile.accuracy</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.78%" headers="mcps1.3.2.3.1.5.1.2 "><p id="mrs_01_1967__p112474573919">Specifies the accuracy rate of the percentile estimation when the contour histogram is generated. The larger the value is, the more accurate the estimation is. The estimation error value can be obtained through (1.0/Accuracy rate of the percentile estimation).</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.469999999999999%" headers="mcps1.3.2.3.1.5.1.3 "><p id="mrs_01_1967__p1420112922417">10000</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.3.1.5.1.4 "><p id="mrs_01_1967__p1849972193519">&gt;=1</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_1967__n0ba3da7a98444611a4487f5db4536ccb"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1967__ul198271248151720"><li id="mrs_01_1967__li782724811719">If you want the histogram to take effect in CBO, the following conditions must be met:<ul id="mrs_01_1967__ul14405457113915"><li id="mrs_01_1967__li340535773917">Set <strong id="mrs_01_1967__b640895718393">spark.sql.statistics.histogram.enabled</strong> to <strong id="mrs_01_1967__b1240825719399">true</strong>. The default value is <strong id="mrs_01_1967__b140865783916">false</strong>. Change the value to <strong id="mrs_01_1967__b940814574396">true</strong> to enable the histogram function.</li><li id="mrs_01_1967__li16410155723917">Set <strong id="mrs_01_1967__b1410175703910">spark.sql.cbo.enabled</strong> to <strong id="mrs_01_1967__b74115572398">true</strong>. The default value is <strong id="mrs_01_1967__b1541355743917">false</strong>. Change the value to <strong id="mrs_01_1967__b3414145716391">true</strong> to enable CBO.</li><li id="mrs_01_1967__li541416570394">Set <strong id="mrs_01_1967__b44164572397">spark.sql.cbo.joinReorder.enabled</strong> to <strong id="mrs_01_1967__b641819573393">true</strong>. The default value is <strong id="mrs_01_1967__b341825710394">false</strong>. Change the value to <strong id="mrs_01_1967__b942065713910">true</strong> to enable connection reordering.</li></ul>
+</li><li id="mrs_01_1967__li138271148131713">If a client is used to submit a task, you need to download the client again after configuring the following parameters: <strong id="mrs_01_1967__b2079491904010">spark.sql.cbo.enabled</strong>, <strong id="mrs_01_1967__b379441915403">spark.sql.cbo.joinReorder.enabled</strong>, <strong id="mrs_01_1967__b979431911402">spark.sql.cbo.joinReorder.dp.threshold</strong>, <strong id="mrs_01_1967__b0796191954010">spark.sql.cbo.joinReorder.card.weight</strong>, <strong id="mrs_01_1967__b167961319124019">spark.sql.statistics.size.autoUpdate.enabled</strong>, <strong id="mrs_01_1967__b879612193408">spark.sql.statistics.histogram.enabled</strong>, <strong id="mrs_01_1967__b1379612198403">spark.sql.statistics.histogram.numBins</strong>, <strong id="mrs_01_1967__b2796151919409">spark.sql.statistics.ndv.maxError</strong>, and <strong id="mrs_01_1967__b1679611911409">spark.sql.statistics.percentile.accuracy</strong>.</li></ul>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1941.html">Scenario-Specific Configuration</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1969.html b/docs/mrs/component-operation-guide/mrs_01_1969.html
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@@ -0,0 +1,40 @@
+<a name="mrs_01_1969"></a><a name="mrs_01_1969"></a>
+
+<h1 class="topictitle1">Configuring Local Disk Cache for JobHistory</h1>
+<div id="body1595920207462"><div class="section" id="mrs_01_1969__section9549105835311"><h4 class="sectiontitle">Scenarios</h4><p id="mrs_01_1969__p26101358135320">JobHistory can use local disks to cache the historical data of Spark applications to prevent the JobHistory memory from loading a large amount of application data, reducing the memory pressure. In addition, the cached data can be reused to improve the speed for subsequent application access.</p>
+</div>
+<div class="section" id="mrs_01_1969__section45494581530"><h4 class="sectiontitle">Parameter Configuration</h4><p id="mrs_01_1969__p116101958135310">Log in to FusionInsight Manager, choose <strong id="mrs_01_1969__b7610165816535">Cluster</strong> &gt; <em id="mrs_01_1969__i136101658205319">Name of the desired cluster</em> &gt; <strong id="mrs_01_1969__b18610158165319">Service<span id="mrs_01_1969__ph024333783811">s </span></strong>&gt; <strong id="mrs_01_1969__b46101858145312">Spark2x</strong> &gt; <strong id="mrs_01_1969__b16109589535">Configuration<span id="mrs_01_1969__ph173083173812">s</span></strong>, click the <strong id="mrs_01_1969__b261085845315">All Configurations</strong> tab, and search for the following parameters:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1969__table16550558145310" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1969__row18610125825318"><th align="left" class="cellrowborder" valign="top" width="32.32323232323232%" id="mcps1.3.2.3.1.4.1.1"><p id="mrs_01_1969__p1761114587535">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="49.494949494949495%" id="mcps1.3.2.3.1.4.1.2"><p id="mrs_01_1969__p186111158175319">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="18.18181818181818%" id="mcps1.3.2.3.1.4.1.3"><p id="mrs_01_1969__p5611185835319">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1969__row17611258195319"><td class="cellrowborder" valign="top" width="32.32323232323232%" headers="mcps1.3.2.3.1.4.1.1 "><p id="mrs_01_1969__p161118585539">spark.history.store.path</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.494949494949495%" headers="mcps1.3.2.3.1.4.1.2 "><p id="mrs_01_1969__p261195855311">Specifies the local directory for storing historical information for JobHistory. If this parameter is specified, JobHistory caches historical application data in the local disk instead of the memory.</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.18181818181818%" headers="mcps1.3.2.3.1.4.1.3 "><p id="mrs_01_1969__p96116585534">${BIGDATA_HOME}/tmp/spark2x_JobHistory</p>
+</td>
+</tr>
+<tr id="mrs_01_1969__row1361115812534"><td class="cellrowborder" valign="top" width="32.32323232323232%" headers="mcps1.3.2.3.1.4.1.1 "><p id="mrs_01_1969__p186111358115314">spark.history.store.maxDiskUsage</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.494949494949495%" headers="mcps1.3.2.3.1.4.1.2 "><p id="mrs_01_1969__p12611558155314">Specifies the maximum available space of the local disk cache.</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.18181818181818%" headers="mcps1.3.2.3.1.4.1.3 "><p id="mrs_01_1969__p261125885316">10 GB</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1941.html">Scenario-Specific Configuration</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1970.html b/docs/mrs/component-operation-guide/mrs_01_1970.html
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+<a name="mrs_01_1970"></a><a name="mrs_01_1970"></a>
+
+<h1 class="topictitle1">Configuring Spark SQL to Enable the Adaptive Execution Feature</h1>
+<div id="body1595920207464"><div class="section" id="mrs_01_1970__section10411113113617"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1970__p10893165811599">The Spark SQL adaptive execution feature enables Spark SQL to optimize subsequent execution processes based on intermediate results to improve overall execution efficiency. The following features have been implemented:</p>
+<ol id="mrs_01_1970__ol112005119116"><li id="mrs_01_1970__li13199111916">Automatic configuration of the number of shuffle partitions<p id="mrs_01_1970__p17893658185914"><a name="mrs_01_1970__li13199111916"></a><a name="li13199111916"></a>Before the adaptive execution feature is enabled, Spark SQL specifies the number of partitions for a shuffle process by specifying the <strong id="mrs_01_1970__b1478417199452">spark.sql.shuffle.partitions</strong> parameter. This method lacks flexibility when multiple SQL queries are performed on an application and cannot ensure optimal performance in all scenarios. After adaptive execution is enabled, Spark SQL automatically configures the number of partitions for each shuffle process, instead of using the general configuration. In this way, the proper number of partitions is automatically used during each shuffle process.</p>
+</li></ol><ol start="2" id="mrs_01_1970__ol141995118119"><li id="mrs_01_1970__li419971218">Dynamic adjusting of the join execution plan<p id="mrs_01_1970__p58940586599"><a name="mrs_01_1970__li419971218"></a><a name="li419971218"></a>Before the adaptive execution feature is enabled, Spark SQL creates an execution plan based on the optimization results of rule-based optimization (RBO) and Cost-Based Optimization (CBO). This method ignores changes of result sets during data execution. For example, when a view created based on a large table is joined with other large tables, the execution plan cannot be adjusted to BroadcastJoin even if the result set of the view is small. After the adaptive execution feature is enabled, Spark SQL can dynamically adjust the execution plan based on the execution result of the previous stage to obtain better performance.</p>
+</li></ol><ol start="3" id="mrs_01_1970__ol187817109118"><li id="mrs_01_1970__li11781710817">Automatic processing of data skew<p id="mrs_01_1970__p28941458115915"><a name="mrs_01_1970__li11781710817"></a><a name="li11781710817"></a>If data skew occurs during SQL statement execution, the memory overflow of an executor or slow task execution may occur. After the adaptive execution feature is enabled, Spark SQL can automatically process data skew scenarios. Multiple tasks are started for partitions where data skew occurs. Each task reads several output files obtained from the shuffle process and performs union operations on the join results of these tasks to eliminate data skew.</p>
+</li></ol>
+</div>
+<div class="section" id="mrs_01_1970__section149351351145714"><h4 class="sectiontitle">Parameters</h4><p id="mrs_01_1970__p18420142117236">Log in to FusionInsight Manager, choose <span id="mrs_01_1970__text18330192912598"><strong id="mrs_01_1970__b1864019272917">Cluster</strong> &gt; </span><strong id="mrs_01_1970__b377193010507">Services</strong> &gt; <strong id="mrs_01_1970__b1753533115014">Spark2x</strong> &gt; <strong id="mrs_01_1970__b16138203516509">Configurations</strong>, click <strong id="mrs_01_1970__b12231638134919">All Configurations</strong>, and search for the following parameter.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1970__t18af5fbd3aeb4bda8d13de81ed31f812" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_1970__r74395b638f4442e3aab246ff89b4f414"><th align="left" class="cellrowborder" valign="top" width="32.129999999999995%" id="mcps1.3.2.3.1.4.1.1"><p id="mrs_01_1970__a1f516e63d9e642069c06eb1b4f809563"><strong id="mrs_01_1970__b13341193812509">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="49.5%" id="mcps1.3.2.3.1.4.1.2"><p id="mrs_01_1970__af9566f38e89e419f83b61605b532f7ad"><strong id="mrs_01_1970__b14467405504">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="18.37%" id="mcps1.3.2.3.1.4.1.3"><p id="mrs_01_1970__ac817ca09e627493cb99f5b57d2943bd6"><strong id="mrs_01_1970__b84140417509">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1970__rd52556c4569841b3a5e5a2ebdfcb3b56"><td class="cellrowborder" valign="top" width="32.129999999999995%" headers="mcps1.3.2.3.1.4.1.1 "><p id="mrs_01_1970__p44616111023">spark.sql.adaptive.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.5%" headers="mcps1.3.2.3.1.4.1.2 "><p id="mrs_01_1970__p5461111211">Specifies whether to enable the adaptive execution function.</p>
+<p id="mrs_01_1970__p17918584318">Note: If AQE and Static Partition Pruning (DPP) are enabled at the same time, DPP takes precedence over AQE during SparkSQL task execution. As a result, AQE does not take effect.</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.37%" headers="mcps1.3.2.3.1.4.1.3 "><p id="mrs_01_1970__p10461011426">false</p>
+</td>
+</tr>
+<tr id="mrs_01_1970__row782249193512"><td class="cellrowborder" valign="top" width="32.129999999999995%" headers="mcps1.3.2.3.1.4.1.1 "><p id="mrs_01_1970__p1483164913352">spark.sql.optimizer.dynamicPartitionPruning.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.5%" headers="mcps1.3.2.3.1.4.1.2 "><p id="mrs_01_1970__p6831249103510">The switch to enable DPP.</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.37%" headers="mcps1.3.2.3.1.4.1.3 "><p id="mrs_01_1970__p15832497350">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1970__rf534b3c540af486495ea96f84d00a611"><td class="cellrowborder" valign="top" width="32.129999999999995%" headers="mcps1.3.2.3.1.4.1.1 "><p id="mrs_01_1970__p12461611923">spark.sql.adaptive.coalescePartitions.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.5%" headers="mcps1.3.2.3.1.4.1.2 "><p id="mrs_01_1970__p2302328214">If this parameter is set to <strong id="mrs_01_1970__b1084301317156">true</strong> and <strong id="mrs_01_1970__b15202172511512">spark.sql.adaptive.enabled</strong> is set to <strong id="mrs_01_1970__b878215280151">true</strong>, Spark combines partitions that are consecutively random played based on the target size (specified by <strong id="mrs_01_1970__b1988518418210">spark.sql.adaptive.advisoryPartitionSizeInBytes</strong>) to prevent too many small tasks from being executed.</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.37%" headers="mcps1.3.2.3.1.4.1.3 "><p id="mrs_01_1970__p4467111127">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1970__row41031841117"><td class="cellrowborder" valign="top" width="32.129999999999995%" headers="mcps1.3.2.3.1.4.1.1 "><p id="mrs_01_1970__p78411328172410">spark.sql.adaptive.coalescePartitions.initialPartitionNum</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.5%" headers="mcps1.3.2.3.1.4.1.2 "><p id="mrs_01_1970__p1946151113217">Initial number of shuffle partitions before merge. The default value is the same as the value of <strong id="mrs_01_1970__b1855518496206">spark.sql.shuffle.partitions</strong>. This parameter is valid only when <strong id="mrs_01_1970__b07521830192219">spark.sql.adaptive.enabled</strong> and <strong id="mrs_01_1970__b116523348224">spark.sql.adaptive.coalescePartitions.enabled</strong> are set to <strong id="mrs_01_1970__b34141937122220">true</strong>. This parameter is optional. The initial number of partitions must be a positive number.</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.37%" headers="mcps1.3.2.3.1.4.1.3 "><p id="mrs_01_1970__p1685717911125">200</p>
+<p id="mrs_01_1970__p84341337257"></p>
+</td>
+</tr>
+<tr id="mrs_01_1970__row1910412411417"><td class="cellrowborder" valign="top" width="32.129999999999995%" headers="mcps1.3.2.3.1.4.1.1 "><p id="mrs_01_1970__p15365131616222">spark.sql.adaptive.coalescePartitions.minPartitionNum</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.5%" headers="mcps1.3.2.3.1.4.1.2 "><p id="mrs_01_1970__p92814112315">Minimum number of shuffle partitions after merge. If this parameter is not set, the default degree of parallelism (DOP) of the Spark cluster is used. This parameter is valid only when <strong id="mrs_01_1970__b2270135618478">spark.sql.adaptive.enabled</strong> and <strong id="mrs_01_1970__b1227155618476">spark.sql.adaptive.coalescePartitions.enable</strong> are set to <strong id="mrs_01_1970__b927111566471">true</strong>. This parameter is optional. The initial number of partitions must be a positive number.</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.37%" headers="mcps1.3.2.3.1.4.1.3 "><p id="mrs_01_1970__p7713191431215">1</p>
+<p id="mrs_01_1970__p174610111222"></p>
+</td>
+</tr>
+<tr id="mrs_01_1970__row1389112476118"><td class="cellrowborder" valign="top" width="32.129999999999995%" headers="mcps1.3.2.3.1.4.1.1 "><p id="mrs_01_1970__p17463111429">spark.sql.adaptive.shuffle.targetPostShuffleInputSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.5%" headers="mcps1.3.2.3.1.4.1.2 "><p id="mrs_01_1970__p10463112210">Target size of a partition after shuffling. Spark 3.0 and later versions do not support this parameter.</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.37%" headers="mcps1.3.2.3.1.4.1.3 "><p id="mrs_01_1970__p662671714111">64MB</p>
+</td>
+</tr>
+<tr id="mrs_01_1970__row138919476117"><td class="cellrowborder" valign="top" width="32.129999999999995%" headers="mcps1.3.2.3.1.4.1.1 "><p id="mrs_01_1970__p9121125552619">spark.sql.adaptive.advisoryPartitionSizeInBytes</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.5%" headers="mcps1.3.2.3.1.4.1.2 "><p id="mrs_01_1970__p399871811277">Size of a shuffle partition (unit: byte) during adaptive optimization (<strong id="mrs_01_1970__b1305067501">spark.sql.adaptive.enabled</strong> is set to <strong id="mrs_01_1970__b166161813500">true</strong>). This parameter takes effect when Spark aggregates small shuffle partitions or splits shuffle partitions where skew occurs.</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.37%" headers="mcps1.3.2.3.1.4.1.3 "><p id="mrs_01_1970__p16461911527">64MB</p>
+</td>
+</tr>
+<tr id="mrs_01_1970__row14911033183114"><td class="cellrowborder" valign="top" width="32.129999999999995%" headers="mcps1.3.2.3.1.4.1.1 "><p id="mrs_01_1970__p124911033153115">spark.sql.adaptive.fetchShuffleBlocksInBatch</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.5%" headers="mcps1.3.2.3.1.4.1.2 "><p id="mrs_01_1970__p14911933203116">Whether to obtain consecutive shuffle blocks in batches. For the same map job, reading consecutive shuffle blocks in batches can reduce I/Os and improve performance, instead of reading blocks one by one. Note that multiple consecutive blocks exist in a single read request only when <strong id="mrs_01_1970__b48241110524">spark.sql.adaptive.enabled</strong> and <strong id="mrs_01_1970__b11984101425217">spark.sql.adaptive.coalescePartitions.enabled</strong> are set to <strong id="mrs_01_1970__b1948191714522">true</strong>. This feature also relies on a relocatable serializer that uses cascading to support the codec and the latest version of the shuffle extraction protocol.</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.37%" headers="mcps1.3.2.3.1.4.1.3 "><p id="mrs_01_1970__p1749112335315">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1970__row9893163643112"><td class="cellrowborder" valign="top" width="32.129999999999995%" headers="mcps1.3.2.3.1.4.1.1 "><p id="mrs_01_1970__p1589333633119">spark.sql.adaptive.localShuffleReader.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.5%" headers="mcps1.3.2.3.1.4.1.2 "><p id="mrs_01_1970__p12893173633117">If the value of this parameter is <strong id="mrs_01_1970__b156121719205419">true</strong> and the value of <strong id="mrs_01_1970__b7333132345413">spark.sql.adaptive.enabled</strong> is <strong id="mrs_01_1970__b4627182911544">true</strong>, Spark attempts to use the local shuffle reader to read shuffle data when shuffling of partitions is not required, for example, after sort-merge join is converted to broadcast-hash join.</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.37%" headers="mcps1.3.2.3.1.4.1.3 "><p id="mrs_01_1970__p489353612317">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1970__row188914471315"><td class="cellrowborder" valign="top" width="32.129999999999995%" headers="mcps1.3.2.3.1.4.1.1 "><p id="mrs_01_1970__p1146151113214">spark.sql.adaptive.skewJoin.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.5%" headers="mcps1.3.2.3.1.4.1.2 "><p id="mrs_01_1970__p14615111220">Specifies whether to enable the function of automatic processing of the data skew in join operations. The function is enabled when this parameter is set to <strong id="mrs_01_1970__b165232019155114">true</strong> and <strong id="mrs_01_1970__b952817195518">spark.sql.adaptive.enabled</strong> is set to <strong id="mrs_01_1970__b1152821925116">true</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.37%" headers="mcps1.3.2.3.1.4.1.3 "><p id="mrs_01_1970__p146141118211">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1970__row18643555515"><td class="cellrowborder" valign="top" width="32.129999999999995%" headers="mcps1.3.2.3.1.4.1.1 "><p id="mrs_01_1970__p1829595712279">spark.sql.adaptive.skewJoin.skewedPartitionFactor</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.5%" headers="mcps1.3.2.3.1.4.1.2 "><p id="mrs_01_1970__p34791114215">This parameter is a multiplier used to determine whether a partition is a data skew partition. If the data size of a partition exceeds the value of this parameter multiplied by the median of the all partition sizes except this partition and exceeds the value of <strong id="mrs_01_1970__b546493319166">spark.sql.adaptive.skewJoin.skewedPartitionThresholdInBytes</strong>, this partition is considered as a data skew partition.</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.37%" headers="mcps1.3.2.3.1.4.1.3 "><p id="mrs_01_1970__p144714111221">5</p>
+</td>
+</tr>
+<tr id="mrs_01_1970__row4643115515114"><td class="cellrowborder" valign="top" width="32.129999999999995%" headers="mcps1.3.2.3.1.4.1.1 "><p id="mrs_01_1970__p74711115218">spark.sql.adaptive.skewJoin.skewedPartitionThresholdInBytes</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.5%" headers="mcps1.3.2.3.1.4.1.2 "><p id="mrs_01_1970__p7565172222812">If the partition size (unit: byte) is greater than the threshold as well as the product of the <strong id="mrs_01_1970__b25621127342">spark.sql.adaptive.skewJoin.skewedPartitionFactor</strong> value and the median partition size, skew occurs in the partition. Ideally, the value of this parameter should be greater than that of <strong id="mrs_01_1970__b1653312408417">spark.sql.adaptive.advisoryPartitionSizeInBytes.</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.37%" headers="mcps1.3.2.3.1.4.1.3 "><p id="mrs_01_1970__p396712233287">256MB</p>
+</td>
+</tr>
+<tr id="mrs_01_1970__row089254712119"><td class="cellrowborder" valign="top" width="32.129999999999995%" headers="mcps1.3.2.3.1.4.1.1 "><p id="mrs_01_1970__p13601462310">spark.sql.adaptive.nonEmptyPartitionRatioForBroadcastJoin</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.5%" headers="mcps1.3.2.3.1.4.1.2 "><p id="mrs_01_1970__p10311101493117">If the ratio of non-null partitions is less than the value of this parameter when two tables are joined, broadcast hash join cannot be properly performed regardless of the partition size. This parameter is valid only when <strong id="mrs_01_1970__b0689251507">spark.sql.adaptive.enabled</strong> is set to <strong id="mrs_01_1970__b11690195601">true</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.37%" headers="mcps1.3.2.3.1.4.1.3 "><p id="mrs_01_1970__p17430918113116">0.2</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1941.html">Scenario-Specific Configuration</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1971"></a><a name="mrs_01_1971"></a>
+
+<h1 class="topictitle1">Spark2x Logs</h1>
+<div id="body1595920217117"><div class="section" id="mrs_01_1971__s45b3bd802e3b47ceab44657193a3a5bf"><h4 class="sectiontitle">Log Description</h4><p id="mrs_01_1971__a558b756784eb479ab0e53df22f39ce9d"><strong id="mrs_01_1971__a1c0729fb39484be4b8b48ecbaf012d4d">Log paths:</strong></p>
+<ul id="mrs_01_1971__u9796d59cb32b4d75a46a8bf308e1c434"><li id="mrs_01_1971__l7c0a70525ab24a8a94a636c3edc8499f">Executor run log: <strong id="mrs_01_1971__b240513544112325">${BIGDATA_DATA_HOME}/hadoop/data${i}/nm/containerlogs/application_${appid}/container_{$contid}</strong><div class="note" id="mrs_01_1971__n59725cf62f564d90af934488a5e3b33d"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_1971__aea6a4c2290204192b32d43dc6e6dafe3">The logs of running tasks are stored in the preceding path. After the running is complete, the system determines whether to aggregate the logs to an HDFS directory based on the Yarn configuration. For details, see <a href="mrs_01_0852.html">Common YARN Parameters</a>.</p>
+</div></div>
+</li><li id="mrs_01_1971__l2d213fae2e334bffaa2f52a06da135bb">Other logs: <strong id="mrs_01_1971__b210084157112325">/var/log/Bigdata/spark2x</strong></li></ul>
+<p id="mrs_01_1971__a7d3cef5785df4c0c9898f560d9c1870c"><strong id="mrs_01_1971__aef841c59ddd040f793926b63508d0656">Log archiving rule</strong>:</p>
+<ul id="mrs_01_1971__ua9f86219d8734829a48ecbd4b323a383"><li id="mrs_01_1971__ldf0b3192658041f587f7ee93bf4f4bf2">When tasks are submitted in <strong id="mrs_01_1971__b586913231301">yarn-client</strong> or <strong id="mrs_01_1971__b1426129133019">yarn-cluster</strong> mode, executor log files are stored each time when the size of the log files reaches 50 MB. A maximum of 10 log files can be reserved without being compressed.</li><li id="mrs_01_1971__lb99c77622d1a46bf87b33e5a641a4e4e">The JobHistory2x log file is backed up each time when the size of the log file reaches 100 MB. A maximum of 100 log files can be reserved without being compressed.</li><li id="mrs_01_1971__l8c4f3039bb714448a8725104ff4d953d">The JDBCServer2x log file is backed up each time when the size of the log file reaches 100 MB. A maximum of 100 log files can be reserved without being compressed.</li><li id="mrs_01_1971__li158650143114">The IndexServer2x log file is backed up each time when the size of the log file reaches 100 MB. A maximum of 100 log files can be reserved without being compressed.</li><li id="mrs_01_1971__lae9f92a2bd9749c7aebe1c6aca99010f">The JDBCServer2x audit log file is backed up each time when the size of the log file reaches 20 MB by default. A maximum of 20 log files can be reserved without being compressed. </li><li id="mrs_01_1971__l76c8fc2170db4e7882671ce3bcd72cc7">The log file size and the number of compressed files to be reserved can be configured on FusionInsight Manager.</li></ul>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1971__td67bec3cebbc476192338a87c7ca2341" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Spark2x log list</caption><thead align="left"><tr id="mrs_01_1971__rd522f96f6ac2463d868cabb02e4f10fe"><th align="left" class="cellrowborder" valign="top" width="24.242424242424242%" id="mcps1.3.1.6.2.4.1.1"><p id="mrs_01_1971__aa1bd410f4d2b423f9534df306a1a7704">Log Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="34.34343434343434%" id="mcps1.3.1.6.2.4.1.2"><p id="mrs_01_1971__a8bf6dc5c0d9f4a0e8cdd3c1a3328f148">Name</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="41.41414141414141%" id="mcps1.3.1.6.2.4.1.3"><p id="mrs_01_1971__a1b86c3bab4ad43de9d7173b56709ac5e">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1971__r79dcc9742a4244ba81e8a88474327a6a"><td class="cellrowborder" rowspan="5" valign="top" width="24.242424242424242%" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1971__a76d93164ca48434e9d9a91abf3970019">SparkResource2x logs</p>
+<p id="mrs_01_1971__p5397161284919"></p>
+</td>
+<td class="cellrowborder" valign="top" width="34.34343434343434%" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1971__a7f90c0666a194dc98ff8aab02e988a95">spark.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.41414141414141%" headers="mcps1.3.1.6.2.4.1.3 "><p id="mrs_01_1971__ab8f27d42480d432ea2893558cc3d4c96">Spark2x service initialization log</p>
+</td>
+</tr>
+<tr id="mrs_01_1971__r51880300a0064ba3b393ac0de1ea72b4"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1971__en-us_topic_0085589451_p464062101238">prestart.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1971__a611a959938e64d32891af347db4f2dda">Prestart script log</p>
+</td>
+</tr>
+<tr id="mrs_01_1971__raf44014f95a148f2914b3025d61af651"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1971__acef3cb5498714ef7a0bb2e05946eda96">cleanup.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1971__a72f76f67b58642e08388eba2feada55d">Cleanup log file for instance installation and uninstallation</p>
+</td>
+</tr>
+<tr id="mrs_01_1971__r51ff38c5a1654d6fa1df1bcbb1d72ace"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1971__a0eb5e1bf78fe486f8b3f61a98240925f">spark-availability-check.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1971__a35d1a1ff91844a448bccdca8243b0225">Spark2x service health check log</p>
+</td>
+</tr>
+<tr id="mrs_01_1971__row12397412124910"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1971__p1939771214495">spark-service-check.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1971__p11397131215493">Spark2x service check log</p>
+</td>
+</tr>
+<tr id="mrs_01_1971__r11134351b9e84aedbd9e77f5a77e7839"><td class="cellrowborder" rowspan="6" valign="top" width="24.242424242424242%" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1971__a44556aa4d2514fbd9851000a13f1b5ce">JDBCServer2x logs</p>
+</td>
+<td class="cellrowborder" valign="top" width="34.34343434343434%" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1971__abd8850a6070b40dd8bc2a4e9c1793e75">JDBCServer-start.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.41414141414141%" headers="mcps1.3.1.6.2.4.1.3 "><p id="mrs_01_1971__adae7878ad2984815b4ded468f77008a0">JDBCServer2x startup log</p>
+</td>
+</tr>
+<tr id="mrs_01_1971__row5616113495814"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1971__p1761653413580">JDBCServer-stop.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1971__p126171934125811">JDBCServer2x stop log</p>
+</td>
+</tr>
+<tr id="mrs_01_1971__r383b31c41aa94fb3ae28aa7701f0aa24"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1971__a3c525a9c46e9402aa43cc6dc7667d801">JDBCServer.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1971__a1e979e2f4c1e496885ba13bad39e8254">JDBCServer2x run log on the server</p>
+</td>
+</tr>
+<tr id="mrs_01_1971__r7841ecb20b2b48d3b448373bc9ecf522"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1971__a862006ea18824e78a46640da5ba0b5b7">jdbc-state-check.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1971__a2fc1b02889d347168fdafb6ca516252d">JDBCServer2x health check log</p>
+</td>
+</tr>
+<tr id="mrs_01_1971__re01fb63a0c5a4d349f07548f8f0387f0"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1971__a8bb4ef29e14b4541990bcc04ac37228a">jdbcserver-omm-pid***-gc.log.*.current</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1971__a79a6b2d3417e423792c8c869b3f1be22">IJDBCServer2x process GC log</p>
+</td>
+</tr>
+<tr id="mrs_01_1971__re760f364a2264cbf9608a559a62e5fd6"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1971__a90aa9c53208344dd8a3414fe2fc9b052">spark-omm-org.apache.spark.sql.hive.thriftserver.HiveThriftProxyServer2-***.out*</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1971__en-us_topic_0085589451_p397366101238">JDBCServer2x process startup log. If the process stops, the <strong id="mrs_01_1971__b1226464868112325">jstack</strong> information is printed.</p>
+</td>
+</tr>
+<tr id="mrs_01_1971__r4dc682a281794632b4192fbe2b398562"><td class="cellrowborder" rowspan="5" valign="top" width="24.242424242424242%" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1971__a89aed804a4704d89b967d529690aacc2">JobHistory2x logs</p>
+</td>
+<td class="cellrowborder" valign="top" width="34.34343434343434%" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1971__a060c98d2970d420ebde74ded2a26f3f3">jobHistory-start.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.41414141414141%" headers="mcps1.3.1.6.2.4.1.3 "><p id="mrs_01_1971__a7742280aab524375ac7ce884fa756bce">JobHistory2x startup log</p>
+</td>
+</tr>
+<tr id="mrs_01_1971__r92d7b3eef8864f3fbc95f303ca2e36e0"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1971__a01d437eeb931486685ca5a883e47653d">jobHistory-stop.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1971__a8b1803c8989a41baaf9b3d3ebccd668e">JobHistory2x stop log</p>
+</td>
+</tr>
+<tr id="mrs_01_1971__r69a9985c8afc43dcb88a3b5c8d5f8118"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1971__afd3b80bfc2cb4e8589ef0defd29b6188">JobHistory.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1971__aa347bca5db5649eaaae46910113fe153">JobHistory2x running process log</p>
+</td>
+</tr>
+<tr id="mrs_01_1971__r13bdaa6e3fbe43e89d0c54867a4f3058"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1971__a4ed855bd38454c20873e0ab63f7dbb61">jobhistory-omm-pid***-gc.log.*.current</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1971__abb4a587e5f784a9ab3f15bd11e7c95c0">JobHistory2x process GC log</p>
+</td>
+</tr>
+<tr id="mrs_01_1971__rc5f9458854f74637a1fb7786dfc1b3a3"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1971__a015b00a9bb0c4e4bba10e1bd3bcbdf8e">spark-omm-org.apache.spark.deploy.history.HistoryServer-***.out*</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1971__a3eb8823c0bc14778822b498c1de68104">JobHistory2x process startup log. If the process stops, the <strong id="mrs_01_1971__b1122413971112325">jstack</strong> information is printed.</p>
+</td>
+</tr>
+<tr id="mrs_01_1971__row1860414199199"><td class="cellrowborder" rowspan="6" valign="top" width="24.242424242424242%" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1971__p16965354201316">IndexServer2x logs</p>
+</td>
+<td class="cellrowborder" valign="top" width="34.34343434343434%" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1971__p9965125412130">IndexServer-start.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.41414141414141%" headers="mcps1.3.1.6.2.4.1.3 "><p id="mrs_01_1971__p7965154171315">IndexServer2x startup log</p>
+</td>
+</tr>
+<tr id="mrs_01_1971__row35871732105914"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1971__p658715321592">IndexServer-stop.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1971__p358733295918">IndexServer2x stop log</p>
+</td>
+</tr>
+<tr id="mrs_01_1971__row201131691920"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1971__p6965105413135">IndexServer.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1971__p896595491315">IndexServer2x run log on the server</p>
+</td>
+</tr>
+<tr id="mrs_01_1971__row71655136197"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1971__p1596615412137">indexserver-state-check.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1971__p1696655441310">IndexServer2x health check log</p>
+</td>
+</tr>
+<tr id="mrs_01_1971__row207330914195"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1971__p17966354181312">indexserver-omm-pid***-gc.log.*.current</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1971__p11966165410133">IndexServer2x process GC log</p>
+</td>
+</tr>
+<tr id="mrs_01_1971__row14529123041720"><td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1971__p119667542137">spark-omm-org.apache.spark.sql.hive.thriftserver.IndexServerProxy-***.out*</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1971__p19662054131310">IndexServer2x process startup log. If the process stops, the <strong id="mrs_01_1971__b759250431112325">jstack</strong> information is printed.</p>
+</td>
+</tr>
+<tr id="mrs_01_1971__rb6120029889e4f0db75fa52293290ad8"><td class="cellrowborder" valign="top" width="24.242424242424242%" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_1971__a926d794c76524b18bb569a698d21d400">Audit Log</p>
+</td>
+<td class="cellrowborder" valign="top" width="34.34343434343434%" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_1971__ad2043d57a7d144e3afff8f91406e492b">jdbcserver-audit.log</p>
+<p id="mrs_01_1971__p1147691985216">ranger-audit.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.41414141414141%" headers="mcps1.3.1.6.2.4.1.3 "><p id="mrs_01_1971__a4a8ca0d4f8b04e4e96e3a2845902d824">JDBCServer2x audit log</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_1971__s1bed9ae821834d7d8718c869adfdf013"><h4 class="sectiontitle">Log levels</h4><p id="mrs_01_1971__a84934cf24b5e49d38e89a404e7db004f"><a href="#mrs_01_1971__tcc4372c0e4d742299effd8668554ac30">Table 2</a> describes the log levels supported by Spark2x. The priorities of log levels are ERROR, WARN, INFO, and DEBUG in descending order. Logs whose levels are higher than or equal to the specified level are printed. The number of printed logs decreases as the specified log level increases.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1971__tcc4372c0e4d742299effd8668554ac30"></a><a name="tcc4372c0e4d742299effd8668554ac30"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1971__tcc4372c0e4d742299effd8668554ac30" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Log levels</caption><thead align="left"><tr id="mrs_01_1971__rcf7ddc9c2d6544dcaf7bfd1c7638f3ae"><th align="left" class="cellrowborder" valign="top" width="27.27%" id="mcps1.3.2.3.2.3.1.1"><p id="mrs_01_1971__a394bf3dcddd24ded94e564066e6d6062"><strong id="mrs_01_1971__af6c3217f870246d39eb4758f4d2aa6b6">Level</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="72.72999999999999%" id="mcps1.3.2.3.2.3.1.2"><p id="mrs_01_1971__ac40156615c084842a5e383d70811d6e7"><strong id="mrs_01_1971__a584e6046e33f44d492eb48e22cf53449">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1971__r84ad927eca3645069c73ccf1130f74ce"><td class="cellrowborder" valign="top" width="27.27%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_1971__a09edbf11d62449eea145a3980e1172d3">ERROR</p>
+</td>
+<td class="cellrowborder" valign="top" width="72.72999999999999%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_1971__en-us_topic_0085589451_p411538101238">Error information about the current event processing</p>
+</td>
+</tr>
+<tr id="mrs_01_1971__r5fd9aa2426784e48ac0081aedcb2016a"><td class="cellrowborder" valign="top" width="27.27%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_1971__ad746892955494b69ba7fa747f2a01623">WARN</p>
+</td>
+<td class="cellrowborder" valign="top" width="72.72999999999999%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_1971__a1e6e774a909d4e11b400ac0782974fde">Exception information about the current event processing</p>
+</td>
+</tr>
+<tr id="mrs_01_1971__rc2dc1da70fb543ebad5f675244e6fd5a"><td class="cellrowborder" valign="top" width="27.27%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_1971__a211b55c191934fd6b02334db3fe869e9">INFO</p>
+</td>
+<td class="cellrowborder" valign="top" width="72.72999999999999%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_1971__aa474775f5e59467f9f640de2d456bc9d">Logs of this level record normal running status information about the system and events.</p>
+</td>
+</tr>
+<tr id="mrs_01_1971__re35a1d4f655e41bcb19e47468a67d631"><td class="cellrowborder" valign="top" width="27.27%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_1971__aca8788b5b5304ef2ae4f4c49c130bb76">DEBUG</p>
+</td>
+<td class="cellrowborder" valign="top" width="72.72999999999999%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_1971__a972209c7826642749aade29b09dae2a5">Logs of this level record the system information and system debugging information.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1971__a053824c76ae64e99a62446f4386fd881">To modify log levels, perform the following operations:</p>
+<div class="note" id="mrs_01_1971__n6d00dca392104755817e0bb465b735d9"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1971__a08394e9e752144ae979b73188fc9b826">By default, the service does not need to be restarted after the Spark2x log levels are configured.</p>
+</div></div>
+<ol id="mrs_01_1971__o18b931710c294264adfe6522c96ee1ee"><li id="mrs_01_1971__ld709c225878548f3af2da8bc9d7ac71e"><span>Log in to FusionInsight Manager.</span></li><li id="mrs_01_1971__lf3b434e1f6d04218b284807ec30eb2ea"><span>Choose <span id="mrs_01_1971__text941589444112325"><strong id="mrs_01_1971__b843955990112325">Cluster</strong> &gt; <em id="mrs_01_1971__i1267161067112325">Name of the desired cluster</em></span> &gt; <strong id="mrs_01_1971__b1212638579112325">Service</strong> &gt; <strong id="mrs_01_1971__b209903132112325">Spark2x</strong> &gt; <strong id="mrs_01_1971__b1407739285112325">Configuration</strong>.</span></li><li id="mrs_01_1971__le99e6d2e91d442f6a738726fcef09e22"><span>Select <strong id="mrs_01_1971__b15330813172">All Configurations</strong>.</span></li><li id="mrs_01_1971__la66d9926fc274e2f8e77edcee5598e25"><span>On the menu bar on the left, select the log menu of the target role.</span></li><li id="mrs_01_1971__l0c8034e91e66485d96b975029ae829cf"><span>Select a desired log level.</span></li><li id="mrs_01_1971__le396ad3de9734300b4b4ba66aeb3c5be"><span>Click <strong id="mrs_01_1971__b1288419029112325">Save</strong>. Then, click <strong id="mrs_01_1971__b1166373676112325">OK</strong>.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_1971__s106ae0db0a0741a99a072e749fbad44b"><h4 class="sectiontitle">Log Format</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1971__t11b08aaf30c24fd2a43b087ae2ac9290" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Log Format</caption><thead align="left"><tr id="mrs_01_1971__rd9d2dc0f005b4f93ac61e130734c98a0"><th align="left" class="cellrowborder" valign="top" width="24.242424242424242%" id="mcps1.3.3.2.2.4.1.1"><p id="mrs_01_1971__a4fc5611d9e3c421c9c886d71ddf9a585">Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="37.37373737373737%" id="mcps1.3.3.2.2.4.1.2"><p id="mrs_01_1971__a1bcd400d278744408b3cd4dbd391775d">Format</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="38.38383838383838%" id="mcps1.3.3.2.2.4.1.3"><p id="mrs_01_1971__aecbfb573d60c46b19f09f3dfe88a41f3">Example</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1971__r0effd8196bc34dd7b6d63fd2c037a8bd"><td class="cellrowborder" valign="top" width="24.242424242424242%" headers="mcps1.3.3.2.2.4.1.1 "><p id="mrs_01_1971__a4fc91ade3a624ff79a3297aa43b1a4f6">Run log</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.37373737373737%" headers="mcps1.3.3.2.2.4.1.2 "><p id="mrs_01_1971__af892308adca94ea7aabb94aacac9a57b">&lt;<em id="mrs_01_1971__i962032471112325">yyyy-MM-dd HH:mm:ss,SSS</em>&gt;|&lt;<em id="mrs_01_1971__i290994859112325">Log level</em>&gt;|&lt;<em id="mrs_01_1971__i378765385112325">Name of the thread that generates the log</em>&gt;|&lt;<em id="mrs_01_1971__i1878799005112325">Message in the log</em>&gt;|&lt;<em id="mrs_01_1971__i1832069630112325">Location where the log event occurs</em>&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.38383838383838%" headers="mcps1.3.3.2.2.4.1.3 "><p id="mrs_01_1971__a4ace0f51e47d439e81a0df630c629eb4">2014-09-22 11:16:23,980 INFO DAGScheduler: Final stage: Stage 0(reduce at SparkPi.scala:35)</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1926.html">Using Spark2x</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_1972"></a><a name="mrs_01_1972"></a>
+
+<h1 class="topictitle1">Obtaining Container Logs of a Running Spark Application</h1>
+<div id="body1595920217118"><p id="mrs_01_1972__a6e676d7951ba4e9e95db18a605c53664">Container logs of running Spark applications are distributed on multiple nodes. This section describes how to quickly obtain container logs.</p>
+<div class="section" id="mrs_01_1972__s3f3243f155584adea798b1be45b9e386"><h4 class="sectiontitle">Scenario Description</h4><p id="mrs_01_1972__p76560596394">You can run the <strong id="mrs_01_1972__b201090620154">yarn logs</strong> command to obtain the logs of applications running on Yarn. In different scenarios, you can run the following commands to obtain required logs:</p>
+<ol id="mrs_01_1972__ol6386173685516"><li id="mrs_01_1972__li1628719494554">Obtain complete logs of the application: <strong id="mrs_01_1972__b18933827145715">yarn logs --applicationId</strong><strong id="mrs_01_1972__b1686113144532"> </strong><em id="mrs_01_1972__i1257711511534">&lt;appId&gt;</em><strong id="mrs_01_1972__b1286181405317"> </strong><strong id="mrs_01_1972__b19877331185710">-out</strong><strong id="mrs_01_1972__b143025211535"> </strong><em id="mrs_01_1972__i37762205315">&lt;outputDir&gt;</em>.<p id="mrs_01_1972__p682544010571">Example: <strong id="mrs_01_1972__b1782584065718">yarn logs --applicationId application_1574856994802_0016 -out  /opt/test</strong></p>
+<p id="mrs_01_1972__p199032506571">The following figure shows the command output.</p>
+<ol type="a" id="mrs_01_1972__ol1395875855714"><li id="mrs_01_1972__li9645115455718">If the application is running, container logs in the <strong id="mrs_01_1972__b155453562159">dead </strong>state cannot be obtained.</li><li id="mrs_01_1972__li18317717581">If the application is stopped, all archived container logs can be obtained.</li></ol>
+</li><li id="mrs_01_1972__li15164536145812">Obtain logs of a specified container: <strong id="mrs_01_1972__b6164936155819">yarn logs -applicationId</strong><strong id="mrs_01_1972__b12935115712155"> </strong><em id="mrs_01_1972__i4419175815158">&lt;appId&gt;</em><strong id="mrs_01_1972__b4935105712152"> </strong><strong id="mrs_01_1972__b516411364588">-containerId</strong><strong id="mrs_01_1972__b986418221619"> </strong><em id="mrs_01_1972__i726653191612">&lt;containerId&gt;</em>.<p id="mrs_01_1972__p1788613453588">Example: <strong id="mrs_01_1972__b1288634565810">yarn logs -applicationId application_1574856994802_0018 -containerId container_e01_1574856994802_0018_01_000003</strong></p>
+<p id="mrs_01_1972__p169231051135813">The following figure shows the command output.</p>
+<ol type="a" id="mrs_01_1972__ol479165895820"><li id="mrs_01_1972__li46012516595">If the application is running, container logs in the <strong id="mrs_01_1972__b12723173941619">dead </strong>state cannot be obtained.</li><li id="mrs_01_1972__li142721565582">If the application is stopped, you can obtain logs of any container.</li></ol>
+</li><li id="mrs_01_1972__li1689516375595">Obtain container logs in any state: <strong id="mrs_01_1972__b13897637175915">yarn logs -applicationId</strong><strong id="mrs_01_1972__b11122161310167"> </strong><em id="mrs_01_1972__i16820141317164">&lt;appId&gt;</em><strong id="mrs_01_1972__b012220131166"> </strong><strong id="mrs_01_1972__b48971237135910">-containerId</strong><strong id="mrs_01_1972__b3712121801614"> </strong><em id="mrs_01_1972__i7955196168">&lt;containerId&gt;</em><strong id="mrs_01_1972__b11712131831619"> </strong><strong id="mrs_01_1972__b189713714599">-nodeAddress</strong><strong id="mrs_01_1972__b83252441610"> </strong><em id="mrs_01_1972__i122751524141616">&lt;nodeAddress&gt;</em><p id="mrs_01_1972__p17868157105912">Example: <strong id="mrs_01_1972__b17868957145912">yarn logs -applicationId application_1574856994802_0019 -containerId container_e01_1574856994802_0019_01_000003 -nodeAddress 192-168-1-1:</strong>8041</p>
+<p id="mrs_01_1972__p520119391598">Execution result: Logs of any container can be obtained.</p>
+<div class="note" id="mrs_01_1972__note810461611010"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1972__p49539211504">You need to set <em id="mrs_01_1972__i17150429111718">nodeAddress </em>in the command. You can run the following command to obtain the value:</p>
+<p id="mrs_01_1972__p195316211100"><strong id="mrs_01_1972__b441811251501">yarn node -list -all</strong></p>
+</div></div>
+</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1926.html">Using Spark2x</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1973.html b/docs/mrs/component-operation-guide/mrs_01_1973.html
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@@ -0,0 +1,51 @@
+<a name="mrs_01_1973"></a><a name="mrs_01_1973"></a>
+
+<h1 class="topictitle1">Small File Combination Tools</h1>
+<div id="body1595920217120"><div class="section" id="mrs_01_1973__section9305115516146"><h4 class="sectiontitle">Tool Overview</h4><p id="mrs_01_1973__p1884214331610">In a large-scale Hadoop production cluster, HDFS metadata is stored in the NameNode memory, and the cluster scale is restricted by the memory limitation of each NameNode. If there are a large number of small files in the HDFS, a large amount of NameNode memory is consumed, which greatly reduces the read and write performance and prolongs the job running time. Based on the preceding information, the small file problem is a key factor that restricts the expansion of the Hadoop cluster.</p>
+<p id="mrs_01_1973__p1528914478334">This tool provides the following functions:</p>
+<ol id="mrs_01_1973__ol185508543367"><li id="mrs_01_1973__li3550195483613">Checks the number of small files whose size is less than the threshold configured by the user in tables and returns the average size of all data files in the table directory.</li><li id="mrs_01_1973__li6550195403611">Provides the function of combination table files. Users can set the average file size after combination.</li></ol>
+</div>
+<div class="section" id="mrs_01_1973__section116413207313"><h4 class="sectiontitle">Supported Table Types</h4><p id="mrs_01_1973__p179668186203">Spark: Parquet, ORC, CSV, Text, and Json.</p>
+<p id="mrs_01_1973__p8432345141912">Hive: Parquet, ORC, CSV, Text, RCFile, Sequence and Bucket.</p>
+<div class="note" id="mrs_01_1973__note858742516213"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ol id="mrs_01_1973__ol5695175281818"><li id="mrs_01_1973__li3695105231810">After tables with compressed data are merged, Spark uses the default compression format Snappy for data compression. You can configure <strong id="mrs_01_1973__b1399310201077">spark.sql.parquet.compression.codec</strong> (available values: <strong id="mrs_01_1973__b1599814201972">uncompressed</strong>, <strong id="mrs_01_1973__b89980202714">gzip</strong>, <strong id="mrs_01_1973__b209995201278">lzo</strong>, and <strong id="mrs_01_1973__b399982016720">snappy</strong>) and <strong id="mrs_01_1973__b1099910201776">spark.sql.orc.compression.codec</strong> (available values: <strong id="mrs_01_1973__b1999020373">uncompressed</strong>, <strong id="mrs_01_1973__b18052110715">zlib</strong>, <strong id="mrs_01_1973__b0010218717">lzo</strong>, and <strong id="mrs_01_1973__b160182114712">snappy</strong>) on the client to select the compression format for the Parquet and ORC tables. Compression formats available for Hive and Spark tables are different, except the preceding compression formats, other compression formats are not supported.</li><li id="mrs_01_1973__li16172019134513">To merge bucket table data, you need to add the following configurations to the <strong id="mrs_01_1973__b1329262317718">hive-site.xml</strong> file on the Spark2x client:<pre class="screen" id="mrs_01_1973__screen1580393045112">&lt;property&gt;
+&lt;name&gt;hive.enforce.bucketing&lt;/name&gt;
+&lt;value&gt;false&lt;/value&gt;
+&lt;/property&gt;
+&lt;property&gt;
+&lt;name&gt;hive.enforce.sorting&lt;/name&gt;
+&lt;value&gt;false&lt;/value&gt;
+&lt;/property&gt;</pre>
+</li><li id="mrs_01_1973__li4708539114618">Spark does not support the feature of encrypting data columns in Hive.</li></ol>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1973__section1170226171812"><h4 class="sectiontitle">Tool Usage</h4><p id="mrs_01_1973__p5521530203411">Download and install the client. For example, the installation directory is <span class="filepath" id="mrs_01_1973__filepath161417291476"><b>/opt/client</b></span>. Go to <strong id="mrs_01_1973__b205041010987">/opt</strong><strong id="mrs_01_1973__b85041110785"></strong><strong id="mrs_01_1973__b65048101813">/client/Spark2x/spark/bin</strong> and run the <strong id="mrs_01_1973__b11709652476">mergetool.sh</strong> script.</p>
+<p id="mrs_01_1973__p0797125834419"><strong id="mrs_01_1973__b850211111583">Environment variables loading</strong></p>
+<p id="mrs_01_1973__p16678104810458"><strong id="mrs_01_1973__b3901112034612">source /opt/client/bigdata_env</strong></p>
+<p id="mrs_01_1973__p18253732464"><strong id="mrs_01_1973__b19910132017468">source /opt/client/Spark2x/component_env</strong></p>
+<p id="mrs_01_1973__p18208113461814"><strong id="mrs_01_1973__b176881814814">Scanning function</strong></p>
+<p id="mrs_01_1973__p159799438193">Command: <b><span class="cmdname" id="mrs_01_1973__cmdname62852614203">sh mergetool.sh scan &lt;db.table&gt; &lt;filesize&gt;</span></b></p>
+<p id="mrs_01_1973__p10952458161814">The format of <em id="mrs_01_1973__i16845163916820">db.table</em> is <em id="mrs_01_1973__i284514391787">Database name</em>,<em id="mrs_01_1973__i384553911812">Table name</em>. <em id="mrs_01_1973__i1784619391981">filesize</em> is the user-defined threshold of the small file size (unit: MB). The returned result is the number of files that is smaller than the threshold and the average size of data files in the table directory.</p>
+<p id="mrs_01_1973__p58421872210">Example: <strong id="mrs_01_1973__b1372441988">sh mergetool.sh scan default.table1 128</strong></p>
+<p id="mrs_01_1973__p10666113952112"><strong id="mrs_01_1973__b1599184417814">Combination function</strong></p>
+<p id="mrs_01_1973__p173061550132116">Command: <b><span class="cmdname" id="mrs_01_1973__cmdname11957717444">sh mergetool.sh merge &lt;db.table&gt; &lt;filesize&gt; &lt;shuffle&gt;</span></b></p>
+<p id="mrs_01_1973__p36353912228">The format of <em id="mrs_01_1973__i35711058985">db.table</em> is <em id="mrs_01_1973__i1057275815818">Database name,Table name</em>. <strong id="mrs_01_1973__b205728588814">filesize</strong> is the user-defined average file size after file combination (unit: MB). <strong id="mrs_01_1973__b11572175814819">shuffle</strong> is a Boolean value, and the value is <strong id="mrs_01_1973__b1572458584">true</strong> or <strong id="mrs_01_1973__b7572195814815">false</strong>, which is used to configure whether to allow data to be shuffled during the merge.</p>
+<p id="mrs_01_1973__p565946182316">Example: <strong id="mrs_01_1973__b8435401395">sh mergetool.sh merge default.table1 128 false</strong></p>
+<p id="mrs_01_1973__p2219185923317">If the following information is displayed, the operation is successful:</p>
+<pre class="screen" id="mrs_01_1973__screen14101571330">SUCCESS: Merge succeeded</pre>
+<div class="note" id="mrs_01_1973__n236aa1938a64463b8383ff0d89d0fe2f"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ol id="mrs_01_1973__ol10847161583919"><li id="mrs_01_1973__li1584761563912">Ensure that the current user is the owner of the merged table.</li><li id="mrs_01_1973__li20740179382">Before combination, ensure that HDFS has sufficient storage space, greater than the size of the combined table.</li><li id="mrs_01_1973__li1784831511394">Table data must be combined separately. If a table is read during table data combination, the file may not be found temporarily. After the combination is complete, this problem is resolved. During the combination, do not write data to the corresponding tables. Otherwise, data inconsistency may occur.</li><li id="mrs_01_1973__li18460523584">If an error occurs indicating that the file does not exist when the query of data in a partitioned table is performed on the session spark-beeline/spark-sql that is always in the connected status. You can run the <strong id="mrs_01_1973__b4260298914">refresh table</strong><em id="mrs_01_1973__i62651791794">Table name</em> command as prompted to query the data again.</li><li id="mrs_01_1973__li952213016475">Configure <strong id="mrs_01_1973__b1522615118910">filesize</strong> based on the site requirements. For example, you can set <strong id="mrs_01_1973__b12226101116911">filesize</strong> to a value greater than the average during file merging after obtaining the average file size by file scan. Otherwise, the number of files may increase after the file merging.</li><li id="mrs_01_1973__li17540938171017">During the file merging, data in the original tables is removed to the recycle bin. In the case of any exception occurs on the data after file merging, the data in the original tables is used to replace the damaged data. If an exception occurs during the process, restore the data in the trash directory by using the <strong id="mrs_01_1973__b849113141791">mv</strong> command in HDFS.</li><li id="mrs_01_1973__li1348712215208">In the HDFS router federation scenario, if the target NameService of the table root path is different from that of the root path <strong id="mrs_01_1973__b10321164621915">/user</strong>, you need to manually clear the original table files stored in the recycle bin during the second combination. Otherwise, the combination fails.</li><li id="mrs_01_1973__li19836190911">This tool uses the configuration of the client. Performance optimization can be performed modifying required configuration in the client configuration file.</li></ol>
+</div></div>
+</div>
+<p id="mrs_01_1973__p134384054116"><strong id="mrs_01_1973__b191704170917">shuffle configuration</strong></p>
+<p id="mrs_01_1973__p94391308414">For the combination function, you can roughly estimate the change on the number of partitions before and after the combination.</p>
+<p id="mrs_01_1973__p643915019413">Generally, if the number of old partitions is greater than the number of new partitions, set <strong id="mrs_01_1973__b1817162017917">shuffle</strong> to <strong id="mrs_01_1973__b10176112019911">false</strong>. However, if the number of old partitions is much greater than that of new partitions (for example, more than 100 times), you can set <strong id="mrs_01_1973__b1117715208910">shuffle</strong> to <strong id="mrs_01_1973__b111779201894">true</strong> to increase the degree of parallelism and improve the combination speed.</p>
+<div class="notice" id="mrs_01_1973__note9853163211277"><span class="noticetitle"><img src="public_sys-resources/notice_3.0-en-us.png"> </span><div class="noticebody"><ul id="mrs_01_1973__ul7394184363911"><li id="mrs_01_1973__li15395243143917">If <strong id="mrs_01_1973__b8350122119914">shuffle</strong> is set to <strong id="mrs_01_1973__b53511721190">true</strong> (repartition), the performance is improved. However, due to the particularity of the Parquet and ORC storage modes, repartition will reduce the compression ratio and the total size of the table in HDFS increases by 1.3 times.</li><li id="mrs_01_1973__li2395943133911">If <strong id="mrs_01_1973__b1354462218915">shuffle</strong> is set to <strong id="mrs_01_1973__b165451122295">false</strong> (coalesce), the merged files may have some difference in size, which is close to the value of the configured <strong id="mrs_01_1973__b754519221597">filesize</strong>.</li></ul>
+</div></div>
+<p id="mrs_01_1973__p577711353617"><strong id="mrs_01_1973__b965914231498">Log storage location</strong></p>
+<p id="mrs_01_1973__p1197911332406">The default log storage path is <strong id="mrs_01_1973__b911112254912">/tmp/SmallFilesLog.log4j</strong>. To customize the log storage path, you can configure <strong id="mrs_01_1973__b3112102517912">log4j.appender.logfile.File</strong> in <strong id="mrs_01_1973__b181124251693">/opt/client/Spark2x/spark/tool/log4j.properties</strong>.</p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1926.html">Using Spark2x</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1974.html b/docs/mrs/component-operation-guide/mrs_01_1974.html
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@@ -0,0 +1,20 @@
+<a name="mrs_01_1974"></a><a name="mrs_01_1974"></a>
+
+<h1 class="topictitle1">Spark2x Performance Tuning</h1>
+<div id="body1595920217121"><p id="mrs_01_1974__ad8fb382d2eb849e6ab5701f486d65d13"></p>
+</div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1975.html">Spark Core Tuning</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1985.html">Spark SQL and DataFrame Tuning</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2001.html">Spark Streaming Tuning</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1926.html">Using Spark2x</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1975.html b/docs/mrs/component-operation-guide/mrs_01_1975.html
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@@ -0,0 +1,31 @@
+<a name="mrs_01_1975"></a><a name="mrs_01_1975"></a>
+
+<h1 class="topictitle1">Spark Core Tuning</h1>
+<div id="body1595920217122"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1976.html">Data Serialization</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1977.html">Optimizing Memory Configuration</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1978.html">Setting the DOP</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1979.html">Using Broadcast Variables</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1980.html">Using the external shuffle service to improve performance</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1981.html">Configuring Dynamic Resource Scheduling in Yarn Mode</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1982.html">Configuring Process Parameters</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1983.html">Designing the Direction Acyclic Graph (DAG)</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1984.html">Experience</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1974.html">Spark2x Performance Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1976.html b/docs/mrs/component-operation-guide/mrs_01_1976.html
new file mode 100644
index 000000000..48553c48c
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+++ b/docs/mrs/component-operation-guide/mrs_01_1976.html
@@ -0,0 +1,39 @@
+<a name="mrs_01_1976"></a><a name="mrs_01_1976"></a>
+
+<h1 class="topictitle1">Data Serialization</h1>
+<div id="body1595920217123"><div class="section" id="mrs_01_1976__s21e0dab541ed4cd49e4e07bf16abda26"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1976__a1e0406d3db894f178c8c8086a17193e4">Spark supports the following types of serialization:</p>
+<ul id="mrs_01_1976__u796a65b121304f5cae42eb015578399f"><li id="mrs_01_1976__l1214dea554124628b5fd8a7e47e1f15c">JavaSerializer</li><li id="mrs_01_1976__l3781007eab774adbb9944a021c6201ca">KryoSerializer</li></ul>
+<p id="mrs_01_1976__a9ba1a4dba14c4f0baeb46f9601227965">Data serialization affects the Spark application performance. In specific data format, KryoSerializer offers 10X higher performance than JavaSerializer. For Int data, performance optimization can be ignored.</p>
+<p id="mrs_01_1976__a940a2cfbb43341e8a433d078ad8ccef3">KryoSerializer depends on Chill of Twitter. Not all Java Serializable objects support KryoSerializer. Therefore, class must be manually registered.</p>
+<p id="mrs_01_1976__afa63445d6b1c44e9ba06fcb4cba9e4a7">Serialization involves task serialization and data serialization. Only JavaSerializer can be used for Spark task serialization. JavaSerializer and KryoSerializer can be used for data serialization.</p>
+</div>
+<div class="section" id="mrs_01_1976__s89239366cce041b2850b40860e388a60"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1976__afcbf858da84c48518498291642e557ba">When the Spark program is running, a large volume of data needs to be serialized during the shuffle and RDD cache procedures. By default, JavaSerializer is used. You can also configure KryoSerializer as the data serializer to improve serialization performance.</p>
+<p id="mrs_01_1976__a854ecc88afce4738b17494a8f0f729cc">Add the following code to enable KryoSerializer to be used:</p>
+<ul id="mrs_01_1976__ub06bda66098c4942b8cbc8ed716daa41"><li id="mrs_01_1976__l35a17d640714461e8b84ad6d7dd61c47">Implement the class registrar and manually register the class.<pre class="screen" id="mrs_01_1976__sd66269dabe674925918ec8eb4c6af884">package com.etl.common;
+
+import com.esotericsoftware.kryo.Kryo;
+import org.apache.spark.serializer.KryoRegistrator; 
+
+public class DemoRegistrator implements KryoRegistrator
+{
+    @Override
+    public void registerClasses(Kryo kryo)
+    {
+        //Class examples are given below. Register the custom classes.
+        kryo.register(AggrateKey.class);
+        kryo.register(AggrateValue.class);
+    }
+}</pre>
+<p id="mrs_01_1976__acebb66ff12ea46aaa56bb9f226531d07">You can configure <span class="parmname" id="mrs_01_1976__pdf98ef62d92b4208827b8c617e644c33"><b>spark.kryo.registrationRequired</b></span> on Spark client. Whether to require registration with Kryo. If set to 'true', Kryo will throw an exception if an unregistered class is serialized. If set to false (the default), Kryo will write unregistered class names along with each object. Writing class names can cause significant performance overhead. This operation will affect the system performance. If the value of <span class="parmname" id="mrs_01_1976__pb98a1f76dd924a7f8a83afbf6d65aad2"><b>spark.kryo.registrationRequired</b></span><strong id="mrs_01_1976__aa3e3bf6e1d00429ab1d02022ddeaccaa"> </strong>is configured to <strong id="mrs_01_1976__af4bfdaa9b9e04469b34031de7fe3fa6a">true</strong>, you need to manually register the class. For a class that is not serialized, the system will not automatically write the class name, but display an exception. Compare the configuration of <strong id="mrs_01_1976__a980a7f2e16f94bc780f794fe2ad0ff13">true</strong> with that of <strong id="mrs_01_1976__a248984a3ddab4be98c4ef0c5ebe1779d">false</strong>, the configuration of <strong id="mrs_01_1976__a1b444208687441b1995bbbe43d51dd65">true </strong>has the better performance.</p>
+</li><li id="mrs_01_1976__l6a8054def6b84b0eb3b8ed33afad015f">Configure KryoSerializer as the data serializer and class registrar.<pre class="screen" id="mrs_01_1976__s7e5a33e8e8fc458e8bfacc1f065cae3b">val conf = new SparkConf()
+conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
+.set("spark.kryo.registrator", "com.etl.common.DemoRegistrator")</pre>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1975.html">Spark Core Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1977.html b/docs/mrs/component-operation-guide/mrs_01_1977.html
new file mode 100644
index 000000000..680a296a5
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1977.html
@@ -0,0 +1,19 @@
+<a name="mrs_01_1977"></a><a name="mrs_01_1977"></a>
+
+<h1 class="topictitle1">Optimizing Memory Configuration</h1>
+<div id="body1595920217124"><div class="section" id="mrs_01_1977__s5fde5a20f8c247cdbec462861ab51526"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1977__a9b1c962fed8646ab8cbe0dfbbbdddad4">Spark is a memory-based computing frame. If the memory is insufficient during computing, the Spark execution efficiency will be adversely affected. You can determine whether memory becomes the performance bottleneck by monitoring garbage collection (GC) and evaluating the resilient distributed dataset (RDD) size in the memory, and take performance optimization measures.</p>
+<p id="mrs_01_1977__a099afabbe3fb46ffabaac424b4e86042">To monitor GC of node processes, add the -verbose:gc -XX:+PrintGCDetails -XX:+PrintGCTimeStamps parameter to the <span class="parmname" id="mrs_01_1977__pe1704a981da84210b5e064c2090643d9"><b>spark.driver.extraJavaOptions</b></span> and <span class="parmname" id="mrs_01_1977__pa405702460b849f99943d9b6ca4d2ca4"><b>spark.executor.extraJavaOptions</b></span> in the client configuration file <span class="filepath" id="mrs_01_1977__f49d1d72bc13e48fc95a42881eac27bad"><b>conf/spark-default.conf</b></span>. If "Full GC" is frequently reported, GC needs to be optimized. Cache the RDD and query the RDD size in the log. If a large value is found, change the RDD storage level.</p>
+</div>
+<div class="section" id="mrs_01_1977__s2736a5d232a5457f8719683142605398"><h4 class="sectiontitle">Procedure</h4><ul id="mrs_01_1977__uafa092e78d714d8c9dd0de16ad1de156"><li id="mrs_01_1977__lb82f8cb135c24dcb819da01c40dd3f1c">To optimize GC, adjust the ratio of the young generation and tenured generation. Add <span class="parmname" id="mrs_01_1977__p90c0901d52804670b8237e127c37c159"><b>-XX:NewRatio</b></span> parameter to the <span class="parmname" id="mrs_01_1977__p98013e512f354d4686d79da6b5eb09b5"><b>spark.driver.extraJavaOptions</b></span> and <span class="parmname" id="mrs_01_1977__p7f94a1e0dfd3428d90b5ee80d12ed454"><b>spark.executor.extraJavaOptions</b></span> in the client configuration file <span class="filepath" id="mrs_01_1977__f8ec3142d90c04d41b14537dbe80892c1"><b>conf/spark-default.conf</b></span>. For example, export SPARK_JAVA_OPTS=" -XX:NewRatio=2". The new generation accounts for 1/3 of the heap, and the tenured generation accounts for 2/3.</li><li id="mrs_01_1977__l80a2c77e72e3488fab0d33f64bdbf8f9">Optimize the RDD data structure when compiling Spark programs.<ul id="mrs_01_1977__uee12aa6f2e39472ca6dd421ee97dfcb5"><li id="mrs_01_1977__l52deed5e2cf744d585532b5664ec6f15">Use primitive arrays to replace fastutil arrays, for example, use fastutil library.</li><li id="mrs_01_1977__l027f8d1fffbf4e87ae1668f3109b9335">Avoid nested structure.</li><li id="mrs_01_1977__l98e65015abae495bb30271c810f656bc">Avoid using String in keys.</li></ul>
+</li><li id="mrs_01_1977__l92f26e3ef0504a4295b2dd2e8df436c7">Suggest serializing the RDDs when developing Spark programs.<p id="mrs_01_1977__a46bfed62bd1d41258a399f35e9817383"><a name="mrs_01_1977__l92f26e3ef0504a4295b2dd2e8df436c7"></a><a name="l92f26e3ef0504a4295b2dd2e8df436c7"></a>By default, data is not serialized when RDDs are cached. You can set the storage level to serialize the RDDs and minimize memory usage. For example:</p>
+<pre class="screen" id="mrs_01_1977__sfed76b1bce4540dc99edef414d8f73b9">testRDD.persist(StorageLevel.MEMORY_ONLY_SER)</pre>
+<p id="mrs_01_1977__af8773133360e448da9d60fbd63e427cf"></p>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1975.html">Spark Core Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1978.html b/docs/mrs/component-operation-guide/mrs_01_1978.html
new file mode 100644
index 000000000..397806d35
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1978.html
@@ -0,0 +1,20 @@
+<a name="mrs_01_1978"></a><a name="mrs_01_1978"></a>
+
+<h1 class="topictitle1">Setting the DOP</h1>
+<div id="body1595920217125"><div class="section" id="mrs_01_1978__s34a8fcd7fcc3490abc3ceed17ec3d118"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1978__a18fa4f0b5b7f4282a1bae0ab1d10f075">The degree of parallelism (DOP) specifies the number of tasks to be executed concurrently. It determines the number of data blocks after the shuffle operation. Configure the DOP to improve the processing capability of the system.</p>
+<p id="mrs_01_1978__a013b0481dbc94f25a361770a0a306d19">Query the CPU and memory usage. If the tasks and data are not evenly distributed among nodes, increase the DOP. Generally, set the DOP to two or three times that of the total CPUs in the cluster.</p>
+</div>
+<div class="section" id="mrs_01_1978__s71b0c86b5c24437299cf10c2d23d2124"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1978__a79488ccc8eae4aec863f76cd767d5186">Configure the DOP parameter using one of the following methods based on the actual memory, CPU, data, and application logic conditions:</p>
+<ul id="mrs_01_1978__uaf877d731e3c4e9aa4ddb477688b5ab2"><li id="mrs_01_1978__lc0618d819fa14f02907a48f95b2df06a">Configure the DOP parameter in the operation function that generates the shuffle. This method has the highest priority.<pre class="screen" id="mrs_01_1978__sc471a5250e5943f5b8568154f6a4501c">testRDD.groupByKey(24)</pre>
+</li><li id="mrs_01_1978__l3784eaac50c54c88a2bd53d4be3d5f40">Configure the DOP using <strong id="mrs_01_1978__a8aa96662c748465a91961173b934a261">spark.default.parallelism</strong>. This method has the lower priority than the preceding one.<pre class="screen" id="mrs_01_1978__sac417a51e62b4247882c16d6920a9b3b">val conf = new SparkConf();
+conf.set("spark.default.parallelism", 24);</pre>
+</li><li id="mrs_01_1978__la05282156b7b447cb92a6934e48b076d">Configure the value of <strong id="mrs_01_1978__aee2ca421325e4259a2d972dd7c2e5ab5">spark.default.parallelism</strong> in the <strong id="mrs_01_1978__aa7611f5cbf6b42b889b62ca96a67c6e5">$SPARK_HOME/conf/spark-defaults.conf</strong> file. This method has the lowest priority.<pre class="screen" id="mrs_01_1978__s99872af3a50643709c6cff7253d7cef9">spark.default.parallelism    24</pre>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1975.html">Spark Core Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1979.html b/docs/mrs/component-operation-guide/mrs_01_1979.html
new file mode 100644
index 000000000..81495027b
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1979.html
@@ -0,0 +1,27 @@
+<a name="mrs_01_1979"></a><a name="mrs_01_1979"></a>
+
+<h1 class="topictitle1">Using Broadcast Variables</h1>
+<div id="body1595920217126"><div class="section" id="mrs_01_1979__sb97088d914234333a8d96e510644177a"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1979__a37bb37bea01e44eea277186caf0708e1">Broadcast distributes data sets to each node. It allows data to be obtained locally when a data set is needed during a Spark task. If broadcast is not used, data serialization will be scheduled to tasks each time when a task requires data sets. It is time-consuming and makes the task get bigger.</p>
+<ol id="mrs_01_1979__o87d5553d92f84038b05361be19c61108"><li id="mrs_01_1979__le527b0a832bc46c6b4c107f867f5132e">If a data set will be used by each slice of a task, broadcast the data set to each node.</li><li id="mrs_01_1979__l7d4cf326ebde4a088bfed49fffb356d0">When small and big tables need to be joined, broadcast small tables to each node. This eliminates the shuffle operation, changing the join operation into a common operation.</li></ol>
+</div>
+<div class="section" id="mrs_01_1979__sfa41963d11614dc6b78d67460e542456"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1979__ab6449ebad00148559e3d8cb0e146584a">Add the following code to broadcast the testArr data to each node:</p>
+<pre class="screen" id="mrs_01_1979__sc648a0c0d74c4a619e8ef4fa362ddbed">def main(args: Array[String) {
+  ...
+  val testArr: Array[Long] = new Array[Long](200)
+  val testBroadcast: Broadcast[Array[Long]] = sc.broadcast(testArr)
+  val resultRdd: RDD[Long] = inpputRdd.map(input =&gt; handleData(testBroadcast, input))
+  ...
+}
+
+def handleData(broadcast: Broadcast[Array[Long]], input: String) {
+  val value = broadcast.value
+  ...
+}</pre>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1975.html">Spark Core Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1980.html b/docs/mrs/component-operation-guide/mrs_01_1980.html
new file mode 100644
index 000000000..45cbe9f95
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1980.html
@@ -0,0 +1,36 @@
+<a name="mrs_01_1980"></a><a name="mrs_01_1980"></a>
+
+<h1 class="topictitle1">Using the external shuffle service to improve performance</h1>
+<div id="body1595920217127"><div class="section" id="mrs_01_1980__section5210123615423"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1980__p197751212437">When the Spark system runs applications that contain a shuffle process, an executor process also writes shuffle data and provides shuffle data for other executors in addition to running tasks. If the executor is heavily loaded and GC is triggered, the executor cannot provide shuffle data for other executors, affecting task running.</p>
+<p id="mrs_01_1980__p1777681124310">The external shuffle service is an auxiliary service in NodeManager. It captures shuffle data to reduce the load on executors. If GC occurs on an executor, tasks on other executors are not affected.</p>
+</div>
+<div class="section" id="mrs_01_1980__section832018496431"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1980__ol64791638447"><li id="mrs_01_1980__li1348016315442"><span>Log in to FusionInsight Manager.</span></li><li id="mrs_01_1980__li174801939445"><span>Choose <span id="mrs_01_1980__text1443499075111855"><strong id="mrs_01_1980__b1834036950111855">Cluster</strong> &gt; <em id="mrs_01_1980__i1437462877111855">Name of the desired cluster</em></span> &gt; <strong id="mrs_01_1980__b1363480184111855">Services</strong> &gt; <strong id="mrs_01_1980__b1462466567111855">Spark2x</strong> &gt; <strong id="mrs_01_1980__b862505898111855">Configurations</strong>. Select <strong id="mrs_01_1980__b1830512512533">All Configurations</strong>.</span></li><li id="mrs_01_1980__li24801137443"><span>Choose <strong id="mrs_01_1980__b1807179183111855">SparkResource2x</strong> &gt; <strong id="mrs_01_1980__b1076322959111855">Default</strong> and modify the following parameters.</span><p>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1980__table19406357194515" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter list</caption><thead align="left"><tr id="mrs_01_1980__row940620577452"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.2.3.2.1.2.4.1.1"><p id="mrs_01_1980__p120523194612"><strong id="mrs_01_1980__b182051438465">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.2.3.2.1.2.4.1.2"><p id="mrs_01_1980__p3206163124613"><strong id="mrs_01_1980__b220610374618">Default Value</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.2.3.2.1.2.4.1.3"><p id="mrs_01_1980__p4206234460"><strong id="mrs_01_1980__b1720719313463">Changed To</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1980__row1040712570458"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.2.3.2.1.2.4.1.1 "><p id="mrs_01_1980__p162084317465">spark.shuffle.service.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.2.3.2.1.2.4.1.2 "><p id="mrs_01_1980__p720913317462">false</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.2.3.2.1.2.4.1.3 "><p id="mrs_01_1980__p16210433465">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_1980__li1348612313444"><span>Restart the Spark2x service for the configuration to take effect.</span><p><div class="note" id="mrs_01_1980__note144870318445"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1980__p5487938443">To use the External Shuffle Service function on the Spark2x client, you need to download and install the Spark2x client again.</p>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1975.html">Spark Core Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1981.html b/docs/mrs/component-operation-guide/mrs_01_1981.html
new file mode 100644
index 000000000..7c93ce8b2
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1981.html
@@ -0,0 +1,79 @@
+<a name="mrs_01_1981"></a><a name="mrs_01_1981"></a>
+
+<h1 class="topictitle1">Configuring Dynamic Resource Scheduling in Yarn Mode</h1>
+<div id="body1595920217129"><div class="section" id="mrs_01_1981__s54465d6054db4f1eb5c9843923854485"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1981__a995c003b64ab470fb45f3bfa4aaa7557">Resources are a key factor that affects Spark execution efficiency. When a long-running service (such as the JDBCServer) is allocated with multiple executors without tasks but resources of other applications are insufficient, resources are wasted and scheduled improperly.</p>
+<p id="mrs_01_1981__aac2a1c6c40044dd1aa7bab78a43ea52c">Dynamic resource scheduling can add or remove executors of applications in real time based on the task load. In this way, resources are dynamically scheduled to applications.</p>
+</div>
+<div class="section" id="mrs_01_1981__section8123144745516"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1981__o574cbfc155d84aee9e4333cb98c5f127"><li id="mrs_01_1981__l276399e445c54dae9491fd9c9d1900b7"><span>Configure the external shuffle service.</span></li><li id="mrs_01_1981__la4abc9451f944059893b4fdbfe75d533"><span>Log in to FusionInsight Manager, and choose <strong id="mrs_01_1981__b130536252493033">Cluster</strong> &gt; <em id="mrs_01_1981__i45429156593033">Name of the desired cluster</em> &gt; <strong id="mrs_01_1981__b20359865793033">Service</strong> &gt; <strong id="mrs_01_1981__b49023327293033">Spark2x</strong> &gt; <strong id="mrs_01_1981__b58374217993033">Configuration</strong> &gt; <strong id="mrs_01_1981__b64377607993033">All Configurations</strong>. Enter <strong id="mrs_01_1981__b136161036493033">spark.dynamicAllocation.enabled</strong> in the search box and set its value to <strong id="mrs_01_1981__b67122184393033">true</strong> to enable the dynamic resource scheduling function. This function is disabled by default.</span></li></ol>
+<div class="p" id="mrs_01_1981__p16776436145011"><a href="#mrs_01_1981__t55668659f37c4971bbc1bc10ed58a282">Table 1</a> lists some optional configuration items.
+<div class="tablenoborder"><a name="mrs_01_1981__t55668659f37c4971bbc1bc10ed58a282"></a><a name="t55668659f37c4971bbc1bc10ed58a282"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1981__t55668659f37c4971bbc1bc10ed58a282" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters for dynamic resource scheduling</caption><thead align="left"><tr id="mrs_01_1981__re0af5e0ca79344e5b068530faaf60efd"><th align="left" class="cellrowborder" valign="top" width="29.759999999999998%" id="mcps1.3.2.3.2.2.4.1.1"><p id="mrs_01_1981__ac2f443317a34423db0e8de762a49404b"><strong id="mrs_01_1981__a4d81603a3ca546dfa177d60030f4fff3">Configuration Item</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="41.6%" id="mcps1.3.2.3.2.2.4.1.2"><p id="mrs_01_1981__a1fac7b8088e247c49eccf50822e4d9cd">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="28.64%" id="mcps1.3.2.3.2.2.4.1.3"><p id="mrs_01_1981__ad978889e29584754bc6633608d229ce1"><strong id="mrs_01_1981__a2f0888506e384097b8fdab1adfff2eaf">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1981__ree361911664044218173ace3515f858e"><td class="cellrowborder" valign="top" width="29.759999999999998%" headers="mcps1.3.2.3.2.2.4.1.1 "><p id="mrs_01_1981__a846223535dec408997f033911a827414">spark.dynamicAllocation.minExecutors</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.6%" headers="mcps1.3.2.3.2.2.4.1.2 "><p id="mrs_01_1981__a36597f30acb5494b8aea0ac1aa5ad50c">Indicates the minimum number of executors.</p>
+</td>
+<td class="cellrowborder" valign="top" width="28.64%" headers="mcps1.3.2.3.2.2.4.1.3 "><p id="mrs_01_1981__a3d3f765a6ac046c08f3cb85b399331dc">0</p>
+</td>
+</tr>
+<tr id="mrs_01_1981__r47399f7d59b34f6ea1a926b92bb0d3f2"><td class="cellrowborder" valign="top" width="29.759999999999998%" headers="mcps1.3.2.3.2.2.4.1.1 "><p id="mrs_01_1981__a8a82259ac7204b4ca246ab304c69144a">spark.dynamicAllocation.initialExecutors</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.6%" headers="mcps1.3.2.3.2.2.4.1.2 "><p id="mrs_01_1981__ab0009345633b48ec8a65ce439f28e407">Indicates the number of initial executors.</p>
+</td>
+<td class="cellrowborder" valign="top" width="28.64%" headers="mcps1.3.2.3.2.2.4.1.3 "><p id="mrs_01_1981__a7a7445c8ab4a4d458dec08c9140a84ca">0</p>
+</td>
+</tr>
+<tr id="mrs_01_1981__r26086e2d92564e369bf27becc8e10382"><td class="cellrowborder" valign="top" width="29.759999999999998%" headers="mcps1.3.2.3.2.2.4.1.1 "><p id="mrs_01_1981__ac7448781814f408d938133d2b07d06cc">spark.dynamicAllocation.maxExecutors</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.6%" headers="mcps1.3.2.3.2.2.4.1.2 "><p id="mrs_01_1981__ad42b416b21af4e5f93f38d4b49dbd64d">Indicates the maximum number of executors.</p>
+</td>
+<td class="cellrowborder" valign="top" width="28.64%" headers="mcps1.3.2.3.2.2.4.1.3 "><p id="mrs_01_1981__a1a255a6b66984fc09645b2fd9bd6c6f8">2048</p>
+</td>
+</tr>
+<tr id="mrs_01_1981__rf0d2a6f810bc42718271fced780451ef"><td class="cellrowborder" valign="top" width="29.759999999999998%" headers="mcps1.3.2.3.2.2.4.1.1 "><p id="mrs_01_1981__aac1fd05e6f2f4d839ccdf6ae00193f7a">spark.dynamicAllocation.schedulerBacklogTimeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.6%" headers="mcps1.3.2.3.2.2.4.1.2 "><p id="mrs_01_1981__a00c3b3a003a2460d94d952d3a5da01fd">Indicates the first timeout period for scheduling.</p>
+</td>
+<td class="cellrowborder" valign="top" width="28.64%" headers="mcps1.3.2.3.2.2.4.1.3 "><p id="mrs_01_1981__a5e83db8c0040472bbe58d23a17ff7417">1s</p>
+</td>
+</tr>
+<tr id="mrs_01_1981__rd6c8f8673f6449c0b1479bed919aa570"><td class="cellrowborder" valign="top" width="29.759999999999998%" headers="mcps1.3.2.3.2.2.4.1.1 "><p id="mrs_01_1981__aee6f79decf6545cea8a840fbbe9a7874">spark.dynamicAllocation.sustainedSchedulerBacklogTimeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.6%" headers="mcps1.3.2.3.2.2.4.1.2 "><p id="mrs_01_1981__a59d47183960146ad9468335d5075ce5c">Indicates the second and later timeout interval for scheduling.</p>
+</td>
+<td class="cellrowborder" valign="top" width="28.64%" headers="mcps1.3.2.3.2.2.4.1.3 "><p id="mrs_01_1981__a7c469dfcbbe44c5d81d61c4538d534f6">1s</p>
+</td>
+</tr>
+<tr id="mrs_01_1981__r2c0ab5e58caa4181bef1811cb3d0299d"><td class="cellrowborder" valign="top" width="29.759999999999998%" headers="mcps1.3.2.3.2.2.4.1.1 "><p id="mrs_01_1981__a046a1c26d06841f9bc4ce987560af9ae">spark.dynamicAllocation.executorIdleTimeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.6%" headers="mcps1.3.2.3.2.2.4.1.2 "><p id="mrs_01_1981__aa5c3f2a91e134889868df5e0cce8977b">Indicates the idle timeout interval for common executors.</p>
+</td>
+<td class="cellrowborder" valign="top" width="28.64%" headers="mcps1.3.2.3.2.2.4.1.3 "><p id="mrs_01_1981__ab1ffd6bdca2f4326accb62537ffb8aee">60s</p>
+</td>
+</tr>
+<tr id="mrs_01_1981__r0e120cf4216140b6a19a12885a45f5e7"><td class="cellrowborder" valign="top" width="29.759999999999998%" headers="mcps1.3.2.3.2.2.4.1.1 "><p id="mrs_01_1981__aeade2347c4f54f4daa0ca76f34416a2d">spark.dynamicAllocation.cachedExecutorIdleTimeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.6%" headers="mcps1.3.2.3.2.2.4.1.2 "><p id="mrs_01_1981__acade975c56c54e5ba3a20f907a6f76fe">Indicates the idle timeout interval for executors with cached blocks.</p>
+</td>
+<td class="cellrowborder" valign="top" width="28.64%" headers="mcps1.3.2.3.2.2.4.1.3 "><ul id="mrs_01_1981__ul756811528278"><li id="mrs_01_1981__li13568115282714">JDBCServer2x: 2147483647s</li><li id="mrs_01_1981__li0159203201118">IndexServer2x: 2147483647s</li><li id="mrs_01_1981__li1256917522270">SparkResource2x: 120</li></ul>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_1981__n0aaed639ca7d4970897fa5b67ac276f9"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1981__ae466d32fc4b94a3cb4812e32845f1860">The external shuffle service must be configured before using the dynamic resource scheduling function.</p>
+</div></div>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1975.html">Spark Core Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1982.html b/docs/mrs/component-operation-guide/mrs_01_1982.html
new file mode 100644
index 000000000..ed64ae0de
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@@ -0,0 +1,30 @@
+<a name="mrs_01_1982"></a><a name="mrs_01_1982"></a>
+
+<h1 class="topictitle1">Configuring Process Parameters</h1>
+<div id="body1595920217130"><div class="section" id="mrs_01_1982__s967ff56a0f4c41c597a66868cfcb8271"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1982__a0634a550c2814e4689348662c27e5a85">There are three processes in Spark on Yarn mode: driver, ApplicationMaster, and executor. The Driver and Executor handle the scheduling and running of the task. The ApplicationMaster handles the start and stop of the container.</p>
+<p id="mrs_01_1982__af78602a660c54a0d9860a71ca63f6580">Therefore, the configuration of the driver and executor is very important to run the Spark application. You can optimize the performance of the Spark cluster according to the following procedure.</p>
+</div>
+<div class="section" id="mrs_01_1982__sb82c1a889338482a9c8852450eceaf58"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1982__oc0f061193eeb42a888c3df505b9935b9"><li id="mrs_01_1982__l29ca002e2cea4b8ca7f539eb1094c7b9"><span>Configure the driver memory.</span><p><p id="mrs_01_1982__ac081ccbd923b407bbb1252711157be6a">The driver schedules tasks and communicates with the executor and the ApplicationMaster. Add driver memory when the number and parallelism level of the tasks increases.</p>
+<p id="mrs_01_1982__a4bc68e610ab64501bfb69ee32beeb2db">You can configure the driver memory based on the number of the tasks.</p>
+<ul id="mrs_01_1982__u166cc67656624bf3be39210b545d3500"><li id="mrs_01_1982__l41c9667244104dbba436c8551a8152fe">Set <span class="parmname" id="mrs_01_1982__p1883e81258894d14bdb3d196e6883c3b"><b>spark.driver.memory</b></span> in <span class="filepath" id="mrs_01_1982__fd7f4ce715c214c0094417a26d5ee3c94"><b>spark-defaults.conf</b></span> to a proper value.</li><li id="mrs_01_1982__l412b5ef21c8f4a32a4277f0a4af9ac76">Add the <span class="parmname" id="mrs_01_1982__p60ff285510d342a6a6c9f2ad352f0d6f"><b>--driver-memory MEM</b></span> parameter to configure the memory when using the <strong id="mrs_01_1982__b21059133511203">spark-submit</strong> command.</li></ul>
+</p></li><li id="mrs_01_1982__l1605dba5e82347cf96877b67e67561b0"><span>Configure the number of the executors.</span><p><p id="mrs_01_1982__ae4b8fbbdbfc24afcb1821b56bdc868e5">One core in an executor can run one task at the same time. Therefore, more tasks can be processed at the same time if you increase the number of the executors. You can add the number of the executors to increase the efficiency if resources are sufficient.</p>
+<ul id="mrs_01_1982__u6a4bc6d7e0b5409eb24611d40bb40844"><li id="mrs_01_1982__lb30b2ce5bc9c46059be001d4a04e86cc">Set <span class="parmname" id="mrs_01_1982__pc3559ee543f444108b2f8b8e8df25888"><b>spark.executor.instance</b></span> in <span class="filepath" id="mrs_01_1982__fbf14e4251b484d20871ff5881ca89b6f"><b>spark-defaults.conf</b></span> or <span class="parmname" id="mrs_01_1982__p1868d9186d904101aefcf1bb9b089777"><b>SPARK_EXECUTOR_INSTANCES</b></span> in <span class="filepath" id="mrs_01_1982__ff5450e52bbd34463a228269abf782b91"><b>spark-env.sh</b></span> to a proper value. </li><li id="mrs_01_1982__lf96ac6d4d80c4c639d4065738b7e7e3d">Add the <span class="parmname" id="mrs_01_1982__p0a09129a268d4e308635d5f5b3565d09"><b>--num-executors NUM</b></span> parameter to configure the number of the executors when using the <strong id="mrs_01_1982__b100463411611203">spark-submit</strong> command.</li></ul>
+</p></li><li id="mrs_01_1982__l2c01ebe1d54740ad89df0285f917ac31"><span>Configure the number of the executor cores.</span><p><p id="mrs_01_1982__a48d2abc51b564cd48f2879d2e09274b6">Multiple cores in an executor can run multiple tasks at the same time, which increases the task concurrency. However, because all cores share the memory of an executor, you need to balance the memory and the number of cores.</p>
+<ul id="mrs_01_1982__udaf07b1bbfbc4eb79c39e1261351d4f7"><li id="mrs_01_1982__l77bd9ee6a491465f950033fd5fb2b9dd">Set <span class="parmname" id="mrs_01_1982__parmname27125304211203"><b>spark.executor.cores</b></span> in <span class="filepath" id="mrs_01_1982__filepath30788231211203"><b>spark-defaults.conf</b></span> or <span class="parmname" id="mrs_01_1982__parmname156057683211203"><b>SPARK_EXECUTOR_CORES</b></span> in <span class="filepath" id="mrs_01_1982__filepath146596740111203"><b>spark-env.sh</b></span> to a proper value.</li><li id="mrs_01_1982__l01f6adbebc51423a9a9ddf8e8d679dee">When you run the <strong id="mrs_01_1982__b160901947311203">spark-submit</strong> command, add the <span class="parmname" id="mrs_01_1982__parmname153565989911203"><b>--executor-cores NUM</b></span> parameter to set the number of executor cores.</li></ul>
+</p></li><li id="mrs_01_1982__l0e27d2a1ff93423b8d8183c08d66ef4a"><span>Configure the executor memory.</span><p><p id="mrs_01_1982__a14917602ba1b4bf2a2336a6b4eacd099">The executor memory is used for task execution and communication. You can increase the memory for a big task that needs more resources, and reduce the memory to increase the concurrency level for a small task that runs fast.</p>
+<ul id="mrs_01_1982__u7b6da0f9979e48b9b3ac439ac8de3575"><li id="mrs_01_1982__lc81cf4c31dbb4b29b09d110b672abd73">Set <span class="parmname" id="mrs_01_1982__parmname95057715611203"><b>spark.executor.memory</b></span> in <span class="filepath" id="mrs_01_1982__filepath96495708511203"><b>spark-defaults.conf</b></span> or <span class="parmname" id="mrs_01_1982__parmname37591547511203"><b>SPARK_EXECUTOR_MEMORY</b></span> in <span class="filepath" id="mrs_01_1982__filepath97616506111203"><b>spark-env.sh</b></span> to a proper value.</li><li id="mrs_01_1982__ldc2e5f9956db4ebe96c968e69213cb37">When you run the <strong id="mrs_01_1982__b74863045511203">spark-submit</strong> command, add the <span class="parmname" id="mrs_01_1982__parmname51320111511203"><b>--executor-memory MEM</b></span> parameter to set the memory.</li></ul>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_1982__sf3f5e5778b12457d9b816d5215f97271"><h4 class="sectiontitle">Example</h4><ul id="mrs_01_1982__u8db36b55f20944aaaa008e59d67cca69"><li id="mrs_01_1982__l7a0b414365794c799a85938f482ff371">During the <strong id="mrs_01_1982__b174468191511203">spark wordcount</strong> calculation, the amount of data is 1.6 TB and the number of the executors is 250.<p id="mrs_01_1982__a2629f306c8f84e99a31393066f5b3f9e">The execution fails under the default configuration, and the <strong id="mrs_01_1982__b146750834811203">Futures timed out</strong> and <strong id="mrs_01_1982__b150520977811203">OOM</strong> errors occur.</p>
+<p id="mrs_01_1982__ad8c15a69d50a40a8bf6f7241559ada62">However each task of wordcount is small and runs fast, the amount of the data is big and the tasks are too many. Therefore the objects on the driver end become huge when there are many tasks. Besides the fact that the executor communicates with the driver once each task is finished, the problem of disconnection between processes caused by insufficient memory occurs.</p>
+<p id="mrs_01_1982__a6b75d59182e140189cf66b42de7e8515">The application runs successfully when the memory of the Driver is set to 4 GB.</p>
+</li></ul>
+<ul id="mrs_01_1982__u9814e2aa64f0416785bd8a1c0c932969"><li id="mrs_01_1982__l2bb0ddce83f24e34964290fa7f7390e7">Many errors still occurred in the default configuration when running TPC-DS test on JDBCServer, such as "Executor Lost". When there is 30 GB of driver memory, 2 executor cores, 125 executors, and 6 GB of executor memory, all tasks can be successfully executed.</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1975.html">Spark Core Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1983.html b/docs/mrs/component-operation-guide/mrs_01_1983.html
new file mode 100644
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@@ -0,0 +1,41 @@
+<a name="mrs_01_1983"></a><a name="mrs_01_1983"></a>
+
+<h1 class="topictitle1">Designing the Direction Acyclic Graph (DAG)</h1>
+<div id="body1595920217991"><div class="section" id="mrs_01_1983__sff53dedf37294bfa92fbbd8da8641403"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1983__a05f6e9aa52104c979f189ea1d59db9fc">Optimal program structure helps increase execution efficiency. During application programming, avoid shuffle operations and combine narrow-dependency operations.</p>
+</div>
+<div class="section" id="mrs_01_1983__s754cf93147764edc89c31c425237e941"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1983__ac2be7790d8b64322931854bfbcf08b05">This topic describes how to design the DAG using the following example:</p>
+<ul id="mrs_01_1983__u3e703b8a080349129aa493dde85ef44d"><li id="mrs_01_1983__l0648ee258e2c4ce5a9a533747478e6a3"><strong id="mrs_01_1983__b17250991417">Data format</strong>: Time when a vehicle passes a toll station, license plate number, toll station number, and more</li><li id="mrs_01_1983__l043c463485014c099ea83a8b9311596d"><strong id="mrs_01_1983__b19290743318">Logic</strong>: Two vehicles are determined to be traveling together if the following conditions are met:<ul id="mrs_01_1983__u01c635a275384706a371f221263c7144"><li id="mrs_01_1983__l78d84f8a24cd4bc4a8547919572db354">Both vehicles pass the same toll stations in the same sequence.</li><li id="mrs_01_1983__ld3a42db84a534cdd9b857cd0378605fa">The difference between the time that the vehicles pass the same toll station is smaller than a specified value.</li></ul>
+</li></ul>
+<p id="mrs_01_1983__aa9184424a4d04eb0ae81242344fa3883">There are two implementation ways for this example. <a href="#mrs_01_1983__f20e2f35bb3d74f7ba062fffcc54f51bc">Figure 1</a> shows the logic of implementation 1 and <a href="#mrs_01_1983__f1f6a59d3ec254ae7bd46d3ace67fa3a7">Figure 2</a> shows logic of implementation 2.</p>
+<div class="fignone" id="mrs_01_1983__f20e2f35bb3d74f7ba062fffcc54f51bc"><a name="mrs_01_1983__f20e2f35bb3d74f7ba062fffcc54f51bc"></a><a name="f20e2f35bb3d74f7ba062fffcc54f51bc"></a><span class="figcap"><b>Figure 1 </b>Implementation logic 1</span><br><span><img id="mrs_01_1983__image426115612915" src="en-us_image_0000001296250248.png"></span></div>
+<p id="mrs_01_1983__a988fd8ce21494be288cf94c45c344f60">Logic description:</p>
+<ol id="mrs_01_1983__o48b9339dddd243f7aa99dfd0e293181a"><li id="mrs_01_1983__la072aa3d417f495b806c510f542fc3c5">Collect information about the toll stations passed by each vehicle based on the vehicle license plate number and sort the toll stations.<p id="mrs_01_1983__abc8fd8f55f4145c6a6a11e9302109d84"><a name="mrs_01_1983__la072aa3d417f495b806c510f542fc3c5"></a><a name="la072aa3d417f495b806c510f542fc3c5"></a>The following data is obtained: vehicle license plate number 1, [(time, toll station 3), (time, toll station 2), (time, toll station 4), (time, toll station 5)]</p>
+</li><li id="mrs_01_1983__l8120eacfc71346f4b8c8036cba861292">Determine the sequence in which the vehicle passed through.<p id="mrs_01_1983__a78c23c91d02847c4b0ccf60b73658421"><a name="mrs_01_1983__l8120eacfc71346f4b8c8036cba861292"></a><a name="l8120eacfc71346f4b8c8036cba861292"></a>(toll station 3, (vehicle license plate number 1, time, 1st toll station))</p>
+<p id="mrs_01_1983__a8eb16bff03c04b87a3ef8e20fcdc35e1">(toll station 2, (vehicle license plate number 1, time, 2nd toll station))</p>
+<p id="mrs_01_1983__aa5d7a3342a95408baf07bb12bfbdcea9">(toll station 4, (vehicle license plate number 1, time, 3rd toll station))</p>
+<p id="mrs_01_1983__aa94b3615eaff4472ad700a20e5ca20d5">(toll station 5, (vehicle license plate number 1, time, 4th toll station))</p>
+</li><li id="mrs_01_1983__lb340749bcba648c589473d35a6dc25c6">Aggregate data by toll station.<p id="mrs_01_1983__a1554f7c717c74df8ab8ba75715e7fe8c"><a name="mrs_01_1983__lb340749bcba648c589473d35a6dc25c6"></a><a name="lb340749bcba648c589473d35a6dc25c6"></a>toll station 1, [(vehicle license plate number 1, time, 1st toll station), (vehicle license plate number 2, time, 5th toll station), (vehicle license plate number 3, time, 2nd toll station)]</p>
+</li><li id="mrs_01_1983__l26de113866f84361873fc86044e3fb69">Determine whether the time difference that two vehicles passed through the same toll station is below the specified value. If yes, fetch information about the two vehicles.<p id="mrs_01_1983__a7a00ef60048c406ebfca1a38a58c482e"><a name="mrs_01_1983__l26de113866f84361873fc86044e3fb69"></a><a name="l26de113866f84361873fc86044e3fb69"></a>(vehicle license plate number 1, vehicle license plate number 2),(1st toll station, 5th toll station)</p>
+<p id="mrs_01_1983__adefc656106cc4b1f8417958c800ceacb">(vehicle license plate number 1, vehicle license plate number 3),(1st toll station, 2nd toll station)</p>
+</li><li id="mrs_01_1983__l72d4271402dc4978a7d6750f06967253">Aggregate data based on the vehicle license plate numbers that passed through the same toll stations.<p id="mrs_01_1983__a89ffef249a254265ad0846edb1ba5bdc"><a name="mrs_01_1983__l72d4271402dc4978a7d6750f06967253"></a><a name="l72d4271402dc4978a7d6750f06967253"></a>(vehicle license plate number 1, vehicle license plate number 2), [(1st toll station, 5th toll station), (2nd toll station, 6th toll station), (1st toll station, 7th toll station), (3rd toll station, 8th toll station)]</p>
+</li><li id="mrs_01_1983__l67883a79db53491d8c5b8dfe50980d69">If the two vehicles pass through the same toll stations in sequence, for example, toll stations 3, 4, 5 are the first, second, and third toll station passed by vehicle 1 and the 6th, 7th, and 8th toll station passed by vehicle 2, and the number of toll stations meets the specified requirements, the two vehicles are determined to be traveling together.</li></ol>
+<p id="mrs_01_1983__a1d96e1fb463b46778f32586baa054e4e">The logic of implementation 1 has the following disadvantages:</p>
+<ul id="mrs_01_1983__ua79c5fb8d9374352b7cabd4a7720ae4d"><li id="mrs_01_1983__ldfa0f71f5d614c9ca84131f41c28de38">The logic is complex.</li><li id="mrs_01_1983__l8c2cbe5eb52c4ac8a335551eb2376f32">Too many shuffle operations affect performance.</li></ul>
+<div class="fignone" id="mrs_01_1983__f1f6a59d3ec254ae7bd46d3ace67fa3a7"><a name="mrs_01_1983__f1f6a59d3ec254ae7bd46d3ace67fa3a7"></a><a name="f1f6a59d3ec254ae7bd46d3ace67fa3a7"></a><span class="figcap"><b>Figure 2 </b>Implementation logic 2</span><br><span><img id="mrs_01_1983__image1687937103713" src="en-us_image_0000001349090445.png"></span></div>
+<p id="mrs_01_1983__a46f5d360415c42938e447ff89ab94f58"></p>
+<p id="mrs_01_1983__ac7f01fa0b06d4749a7496c3285df8b01">Logic description:</p>
+<ol id="mrs_01_1983__of5b3ee2f8b3b454a96651163ea371755"><li id="mrs_01_1983__l1787b308635c459e81477d6e5fc964e8">Collect information about the toll stations passed by each vehicle based on the vehicle license plate number and sort the toll stations.<p id="mrs_01_1983__ad198888a32f34fcfafc63658791ec9ef"><a name="mrs_01_1983__l1787b308635c459e81477d6e5fc964e8"></a><a name="l1787b308635c459e81477d6e5fc964e8"></a>The following data is obtained: vehicle license plate number 1, [(time, toll station 3), (time, toll station 2), (time, toll station 4), (time, toll station 5)]</p>
+</li><li id="mrs_01_1983__l2fb8e5bbc0024cb0855b233becbc5267">Based on the number of toll stations (the number is 3 in this example) that must be passed by these vehicles, divide the toll station sequence as follows:<p id="mrs_01_1983__a1c415c98548c4d3f87bc01371e6ab374"><a name="mrs_01_1983__l2fb8e5bbc0024cb0855b233becbc5267"></a><a name="l2fb8e5bbc0024cb0855b233becbc5267"></a>toll station 3 &gt; toll station 2 &gt; toll station 4, (vehicle license plate number 1, [time passing through toll station 3, time passing through toll station 2, time passing through toll station 4])</p>
+<p id="mrs_01_1983__ab6069f9d92a244a1ab75225d06c47ee3">toll station 2 &gt; toll station 4 &gt; toll station 5, (vehicle license plate number 1, [time passing through toll station 2, time passing through toll station 4, time passing through toll station 5])</p>
+</li><li id="mrs_01_1983__l76989dbd8d0048bc9498439a2eee9495">Aggregate information about vehicles that pass the same toll stations in the same sequence.<p id="mrs_01_1983__ad1a23ddfb56c4b07a2a23c2b55e85e7e"><a name="mrs_01_1983__l76989dbd8d0048bc9498439a2eee9495"></a><a name="l76989dbd8d0048bc9498439a2eee9495"></a>toll station 3 &gt; toll station 2 &gt; toll station 4, [(vehicle license plate number 1, [time passing through toll station 3, time passing through toll station 2, time passing through toll station 4]), (vehicle license plate number 2, [time passing through toll station 3, time passing through toll station 2, time passing through toll station 4]), (vehicle license plate number 3, [time passing through toll station 3, time passing through toll station 2, time passing through toll station 4])]</p>
+</li><li id="mrs_01_1983__lf12e642d5d5146a38ef0eb2f7c056459">Determine whether the time difference that these vehicles passed through the same toll station is below the specified value. If yes, the vehicles are determined to be traveling together.</li></ol>
+<p id="mrs_01_1983__a12cf563dc15f4d92b5b5f9599b18cff5">The logic of implementation 2 has the following advantages:</p>
+<ul id="mrs_01_1983__u3e2fc56564274d6f9b5a683de0eb60ef"><li id="mrs_01_1983__l9e6948ec752a418ba43d7237326a4348">The logic is simplified.</li><li id="mrs_01_1983__l8f7789d8d1cb44128009d5eb02e6a4f1">One <strong id="mrs_01_1983__b12045139286922">groupByKey</strong> is reduced, that is, one less shuffle operation is performed. It helps improve performance.</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1975.html">Spark Core Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1984.html b/docs/mrs/component-operation-guide/mrs_01_1984.html
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+<a name="mrs_01_1984"></a><a name="mrs_01_1984"></a>
+
+<h1 class="topictitle1">Experience</h1>
+<div id="body1595920217992"><div class="section" id="mrs_01_1984__sc5e7a08ed974468d81c889a55b05fa9b"><h4 class="sectiontitle">Use mapPartitions to calculate data by partition.</h4><p id="mrs_01_1984__af197c394a48c4b74b960e8da531bf9f9">If the overhead of each record is high, for example:</p>
+<pre class="screen" id="mrs_01_1984__sacc3f283f0b14281b0909dbe5cf971ad">rdd.map{x=&gt;conn=getDBConn;conn.write(x.toString);conn.close}</pre>
+<p id="mrs_01_1984__adcdc0556936a4d6b91e48ca6f8d8d9df">Use mapPartitions to calculate data by partition.</p>
+<pre class="screen" id="mrs_01_1984__sb9bc3b162bd547a5bf4de17f8a08729c">rdd.mapPartitions(records =&gt; conn.getDBConn;for(item &lt;- records)
+write(item.toString); conn.close)</pre>
+<p id="mrs_01_1984__a1cde63284d954de993410b61aa34dc60">Use mapPartitions to flexibly operate data. For example, to calculate the TopN of a large data, mapPartitions can be used to calculate the TopN of each partition and then sort the TopN of all partitions when N is small. Compared with sorting full data for the TopN, this method has the higher efficiency.</p>
+</div>
+<div class="section" id="mrs_01_1984__sdfa66184c0d745648133dee860041188"><h4 class="sectiontitle">Use coalesce to adjust the number of slices.</h4><p id="mrs_01_1984__a61db5ea9d29347d69b3ec6b0deda8e0c">Use coalesce to adjust the number of slices. There are two coalesce functions:</p>
+<pre class="screen" id="mrs_01_1984__sbb8f8ac9ee444a5fb7efaa9b740c2eb1">coalesce(numPartitions: Int, shuffle: Boolean = false)</pre>
+<p id="mrs_01_1984__a9c1c61b35d4d42038dca55352a0f65cc">When <strong id="mrs_01_1984__ad122e1b598ec4f00998e10d76de42607">shuffle</strong> is set to <strong id="mrs_01_1984__a83ec276849d74e71bd1972094c2dd08a">true</strong>, the function is the same as repartition(numPartitions:Int). Partitions are recreated using the shuffle. When <strong id="mrs_01_1984__a76855342b10044e48c6a73aea5e1df49">shuffle</strong> is set to <strong id="mrs_01_1984__a286644825a854b6b9de77a0a82058b6f">false</strong>, partitions of the parent resilient distributed datasets (RDD) are calculated in the same task. In this case, if the value of <strong id="mrs_01_1984__ae0e3fc3df204421782bd3c70c4cfac48">numPartitions</strong> is larger than the number of sections of the parent RDD, partitions will not be recreated.</p>
+<p id="mrs_01_1984__af0bbc74083da4360b3a28a136ec4bbd5">The following scenario is encountered, you can choose the coalesce operator:</p>
+<ul id="mrs_01_1984__u5f99df901fb24f9ab8b993ac322bafc9"><li id="mrs_01_1984__l6e725bab4484499e87199d58b428d1c9">If the previous operation involves a large number of filters, use coalesce to minimize the number of zero-loaded tasks. In coalesce(numPartitions, false), the value of <strong id="mrs_01_1984__a4089357a5c3a4cd5bb1b12e85f976f1a">numPartitions</strong> is smaller than the number of sections of the parent RDD.</li><li id="mrs_01_1984__l4b770c8c129d4014b3576fe8afe47e92">Use coalesce when the number of slices entered is too big to execute.</li><li id="mrs_01_1984__l250d6bd3a70843b086ccb039cd88c206">Use coalesce when the programs are suspended in the shuffle operation because of a large number of tasks or the Linux resources are limited. In this case, use coalesce(numPartitions, true) to recreate partitions.</li></ul>
+</div>
+<div class="section" id="mrs_01_1984__s2f00f5c5964d4d44a4d91aff9e040b48"><h4 class="sectiontitle">Configure a localDir for each disk.</h4><p id="mrs_01_1984__ab5984f599dff4dc1ab2e3014d122dd30">During the shuffle procedure of Spark, data needs to be written into local disks. The performance bottleneck of Spark is shuffle, and the bottleneck of shuffle is the I/O. To improve the I/O performance, you can configure multiple disks to implement concurrent data writing. If a node is mounted with multiple disks, configure a Spark local Dir for each disk. This can effectively distribute shuffle files in multiple locations, improving disk I/O efficiency. The performance cannot be improved effectively if a disk is configured with multiple directories.</p>
+</div>
+<div class="section" id="mrs_01_1984__sbb3f2f7be5c44daa93900f0fe1e1d88f"><h4 class="sectiontitle">Collect small data sets.</h4><p id="mrs_01_1984__a6da4331ba6e1409bb35af19634704670">The collect operation does not apply to a large data volume.</p>
+<p id="mrs_01_1984__a01cedef66c5d481091a4224fc50eea5e">When the collect operation is performed, the Executor data will be sent to the Driver. Before performing this operation, ensure that the memory of Driver is sufficient. Otherwise, the Driver process may encounter an OutOfMemory error. If the data volume is unknown, perform the saveAsTextFile operation to write data into the HDFS. If the data volume is known and the Driver has sufficient memory, perform the collect operation.</p>
+</div>
+<div class="section" id="mrs_01_1984__s0a014dfcdc0e45e79742e063e44d067f"><h4 class="sectiontitle">Use reduceByKey</h4><p id="mrs_01_1984__a3bdb8f6bdcb44311b19dbe2fda6423bd">reduceByKey causes local aggregation on the Map side, which offers a smooth shuffle procedure. The shuffle operations, like groupByKey, will not perform aggregation on the Map side. Therefore, use reduceByKey as possible as you can, and avoid groupByKey().map(x=&gt;(x._1,x._2.size)).</p>
+</div>
+<div class="section" id="mrs_01_1984__sd9eb186d15b74119b59a0c50172f6f33"><h4 class="sectiontitle">Broadcast map instead of array.</h4><p id="mrs_01_1984__a9cca70cfdcff47a7a76d4a21914b305f">If table query is required for each record of the data transmitted from the Driver side, broadcast the data in the set/map instead of Iterator. The query speed of Set/Map is approximately O(1), while the query speed of Iterator is O(n).</p>
+</div>
+<div class="section" id="mrs_01_1984__s9522c6800a9f40658075d58e2a682f5d"><h4 class="sectiontitle">Avoid data skew.</h4><p id="mrs_01_1984__a08ad7a0cbd544e49b61d62bd8c4a68cf">If data skew occurs (certain data volume is extremely large), the execution time of tasks is inconsistent even if there is no Garbage Collection (GC).</p>
+<ul id="mrs_01_1984__u5a254f71a503464685edf5e922a699a4"><li id="mrs_01_1984__l7bc4b7e69c9044e68f0dad3f1fa45635">Redefine the keys. Use keys of smaller granularity to optimize the task size.</li><li id="mrs_01_1984__l16cee295c50044258054f7819e4f67e6">Modify the degree of parallelism (DOP).</li></ul>
+</div>
+<div class="section" id="mrs_01_1984__s63d4a0ccd15b4a808aa619a62a34dabc"><h4 class="sectiontitle">Optimize the data structure.</h4><ul id="mrs_01_1984__u06a5c5c0b95d45ce90ced08c2ee44607"><li id="mrs_01_1984__l13d26128795d44728052fab05cc53760">Store data by column. As a result, only the required columns are scanned when data is read.</li><li id="mrs_01_1984__l6a52e5e25daa497fa65781debd47dcde">When using the Hash Shuffle, set <span class="parmname" id="mrs_01_1984__p297904f8e0a4468a8424c826101a6017"><b>spark.shuffle.consolidateFiles</b></span> to <span class="parmvalue" id="mrs_01_1984__p9b7d588a9937429eb614c04e4c0944c1"><b>true</b></span> to combine the intermediate files of shuffle, minimize the number of shuffle files and file I/O operations, and improve performance. The number of final files is the number of reduce tasks.</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1975.html">Spark Core Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1985.html b/docs/mrs/component-operation-guide/mrs_01_1985.html
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@@ -0,0 +1,37 @@
+<a name="mrs_01_1985"></a><a name="mrs_01_1985"></a>
+
+<h1 class="topictitle1">Spark SQL and DataFrame Tuning</h1>
+<div id="body1595920217993"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_1986.html">Optimizing the Spark SQL Join Operation</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1987.html">Improving Spark SQL Calculation Performance Under Data Skew</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1988.html">Optimizing Spark SQL Performance in the Small File Scenario</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1989.html">Optimizing the INSERT...SELECT Operation</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1990.html">Multiple JDBC Clients Concurrently Connecting to JDBCServer</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1992.html">Optimizing Memory when Data Is Inserted into Dynamic Partitioned Tables</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1995.html">Optimizing Small Files</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1996.html">Optimizing the Aggregate Algorithms</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1997.html">Optimizing Datasource Tables</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1998.html">Merging CBO</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_1999.html">Optimizing SQL Query of Data of Multiple Sources</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2000.html">SQL Optimization for Multi-level Nesting and Hybrid Join</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1974.html">Spark2x Performance Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1986.html b/docs/mrs/component-operation-guide/mrs_01_1986.html
new file mode 100644
index 000000000..e61ea15df
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1986.html
@@ -0,0 +1,69 @@
+<a name="mrs_01_1986"></a><a name="mrs_01_1986"></a>
+
+<h1 class="topictitle1">Optimizing the Spark SQL Join Operation</h1>
+<div id="body1595920218206"><div class="section" id="mrs_01_1986__sa0618a6527684c4c8bf404a73e75e10d"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1986__a3aec0ae183574a72b31925cb20d8c8d4">When two tables are joined in Spark SQL, the broadcast function (see section "Using Broadcast Variables") can be used to broadcast tables to each node. This minimizes shuffle operations and improves task execution efficiency.</p>
+<div class="note" id="mrs_01_1986__n86d0f89a253f4ac795a56cb1f01f9fba"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1986__a5abb3cce79144cbba89e5d5abc13b871">The join operation refers to the inner join operation only.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1986__s501f976d6452483faf1e09e8dfd4b744"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1986__a4cf486662cd7433591e6756d3da98ba9">The following describes how to optimize the join operation in Spark SQL. Assume that both tables A and B have the <strong id="mrs_01_1986__b525092211615">name</strong> column. Join tables A and B as follows:</p>
+<ol id="mrs_01_1986__o0015464f2d8847339260d873542eddfd"><li id="mrs_01_1986__lb49d7dc9f58c42a4b48dcdfaf250329b">Estimate the table sizes.<p id="mrs_01_1986__a8b389b7fb8b54c4499b914ade39d1a7d"><a name="mrs_01_1986__lb49d7dc9f58c42a4b48dcdfaf250329b"></a><a name="lb49d7dc9f58c42a4b48dcdfaf250329b"></a>Estimate the table size based on the size of data loaded each time.</p>
+<p id="mrs_01_1986__a9238d4e61a7346828b958eafc6f77d77">You can also check the table size in the directory of the Hive database. In the <span class="filepath" id="mrs_01_1986__filepath165141952161618"><b>hive-site.xml</b></span> configuration file of Spark, view the Hive database directory, which is <span class="filepath" id="mrs_01_1986__filepath12518145281615"><b>/user/hive/warehouse</b></span> by default. The default Hive database directory for multi-instance Spark is <strong id="mrs_01_1986__b517012179">/user/</strong><em id="mrs_01_1986__i16120013176">hive</em><strong id="mrs_01_1986__b131180141718">/warehouse</strong>, for example, <strong id="mrs_01_1986__b14280191713">/user/hive1/warehouse</strong>.</p>
+<pre class="screen" id="mrs_01_1986__s70349c8ded1b460ca340407fd34da842">&lt;property&gt;
+   &lt;name&gt;hive.metastore.warehouse.dir&lt;/name&gt;
+  &lt;value&gt;${test.warehouse.dir}&lt;/value&gt;
+  &lt;description&gt;&lt;/description&gt;
+&lt;/property&gt;</pre>
+<p id="mrs_01_1986__a76a719fb5d024eac974b950103e42e52">Run the <strong id="mrs_01_1986__b206327327179">hadoop</strong> command to check the size of the table. For example, run the following command to view the size of table <strong id="mrs_01_1986__b795334081716">A</strong>:</p>
+<pre class="screen" id="mrs_01_1986__sc9adc49fd20f4ee9933571bae48a1408">hadoop fs -du -s -h ${test.warehouse.dir}/a</pre>
+<div class="note" id="mrs_01_1986__n83edba42cbb1472daa94211f1e978393"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1986__a5dc48f398bbc4feb94287940e4194b8b">To perform the broadcast operation, ensure that at least one table is not empty.</p>
+</div></div>
+</li><li id="mrs_01_1986__l524d8b6cd83c464aa721b0aa488821d5">Configure a threshold for automatic broadcast.<p id="mrs_01_1986__afb521c7bbcce447e9803e26e835d6da1"><a name="mrs_01_1986__l524d8b6cd83c464aa721b0aa488821d5"></a><a name="l524d8b6cd83c464aa721b0aa488821d5"></a>The threshold for triggering broadcast for a table is 10485760 (that is, 10 MB) in Spark. If either of the table sizes is smaller than 10 MB, skip this step.</p>
+<p id="mrs_01_1986__ae4ec3eedbb194e61b76679fe943ba5e4"><a href="#mrs_01_1986__te463b16123694e6fa752df6986dc3e0a">Table 1</a> lists configuration parameters of the threshold for automatic broadcasting.</p>
+
+<div class="tablenoborder"><a name="mrs_01_1986__te463b16123694e6fa752df6986dc3e0a"></a><a name="te463b16123694e6fa752df6986dc3e0a"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1986__te463b16123694e6fa752df6986dc3e0a" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1986__racd084d3d0f24eb582376358af68fe0a"><th align="left" class="cellrowborder" valign="top" width="33.33%" id="mcps1.3.2.3.2.3.2.4.1.1"><p id="mrs_01_1986__a1294c11eecfa485eb8b72eb39da823a0">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="14.540000000000001%" id="mcps1.3.2.3.2.3.2.4.1.2"><p id="mrs_01_1986__ac0b91099b8da406aafd1ed9acdb4b231">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="52.129999999999995%" id="mcps1.3.2.3.2.3.2.4.1.3"><p id="mrs_01_1986__a36e71ed2ccf345fdbb73b0a8810a71a0">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1986__r9e50e0d98d1d4d668b580064403c358f"><td class="cellrowborder" valign="top" width="33.33%" headers="mcps1.3.2.3.2.3.2.4.1.1 "><p id="mrs_01_1986__aae5a5e9770814b64b8e80470bff88946">spark.sql.autoBroadcastJoinThreshold</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.540000000000001%" headers="mcps1.3.2.3.2.3.2.4.1.2 "><p id="mrs_01_1986__ad007ac34b7934bfe992047b43dc2dd1c">10485760</p>
+</td>
+<td class="cellrowborder" valign="top" width="52.129999999999995%" headers="mcps1.3.2.3.2.3.2.4.1.3 "><p id="mrs_01_1986__a290cb3221be84ad2855408409d5e1759">Indicates the maximum value for the broadcast configuration when two tables are joined.</p>
+<ul id="mrs_01_1986__u5f348fb92e444d20a94f44704f34c481"><li id="mrs_01_1986__lea2955c681ba48f9a768723d8fc9bf64">When the size of a field in a table involved in an SQL statement is less than the value of this parameter, the system broadcasts the SQL statement.</li><li id="mrs_01_1986__l00dd5db959de444b9b508ec0ba429b67">If the value is set to <strong id="mrs_01_1986__b1391494682116">-1</strong>, broadcast is not performed.</li></ul>
+<p id="mrs_01_1986__ad1b84884c4784344a7fc56143fa80598">For details, visit <a href="https://spark.apache.org/docs/3.1.1/sql-programming-guide.html" target="_blank" rel="noopener noreferrer">https://spark.apache.org/docs/3.1.1/sql-programming-guide.html</a>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1986__ab025a11992724072b53f38c7552d37ab">Methods for configuring the threshold for automatic broadcasting:</p>
+<ul id="mrs_01_1986__ua38b43e11e2744fca786f534aba25a96"><li id="mrs_01_1986__l34bd8e5cd770476ab1f870353341c9aa">Set <span class="parmname" id="mrs_01_1986__parmname12706172217225"><b>spark.sql.autoBroadcastJoinThreshold</b></span> in the <span class="filepath" id="mrs_01_1986__filepath571182219224"><b>spark-defaults.conf</b></span> configuration file of Spark.<pre class="screen" id="mrs_01_1986__sb478f52bdded4787b32578f61ade1991">spark.sql.autoBroadcastJoinThreshold = &lt;size&gt;</pre>
+</li></ul>
+<ul id="mrs_01_1986__ue585b441b03443a0b48d4c12eeea9b75"><li id="mrs_01_1986__l9b6b7b8ed08247b09ae58c4cfccb901b">Run the Hive command to set the threshold. Before joining the tables, run the following command:<pre class="screen" id="mrs_01_1986__s96e63ae6eb21440eb0dfe97c33666c80">SET spark.sql.autoBroadcastJoinThreshold=&lt;size&gt;;</pre>
+</li></ul>
+</li><li id="mrs_01_1986__l92a2148e9b69487cb3abd61e24bebbcc">Join the tables.<ul id="mrs_01_1986__u55d4e7806de34fbdac5832f041dfaecb"><li id="mrs_01_1986__l31da2bab6e6a46a5a50f64e332b2d159">The size of each table is smaller than the threshold.<ul id="mrs_01_1986__u986c1ae2157741eea9d1bd63f4f1caa5"><li id="mrs_01_1986__l836b7fdc68dc46fd9e2c0d1323772833">If the size of table A is smaller than that of table B, run the following command:<pre class="screen" id="mrs_01_1986__sff1c80fb8b33445e8895eda3d2114dae">SELECT A.name FROM B JOIN A ON A.name = B.name;</pre>
+</li><li id="mrs_01_1986__lb8a25f32884147bdb96ed6c904e9267c">If the size of table B is smaller than that of table A, run the following command:<pre class="screen" id="mrs_01_1986__sb3afed0bd5434f34a5a8bbecfd82ff5b">SELECT A.name FROM A JOIN B ON A.name = B.name;</pre>
+</li></ul>
+</li><li id="mrs_01_1986__l1d44ae994d6f48598e1f216ce87c5e9c">One table size is smaller than the threshold, while the other table size is greater than the threshold.<p id="mrs_01_1986__a22b0b0b8f9fa49f1820afee025918ff2"><a name="mrs_01_1986__l1d44ae994d6f48598e1f216ce87c5e9c"></a><a name="l1d44ae994d6f48598e1f216ce87c5e9c"></a>Broadcast the smaller table.</p>
+</li><li id="mrs_01_1986__l932a1ab48dd44615a13f006f329735c6">The size of each table is greater than the threshold.<p id="mrs_01_1986__ae8e8dfd4d1024857898647d956ce86d8"><a name="mrs_01_1986__l932a1ab48dd44615a13f006f329735c6"></a><a name="l932a1ab48dd44615a13f006f329735c6"></a>Compare the size of the field involved in the query with the threshold.</p>
+<ul id="mrs_01_1986__u3cb330bae4f9401da432bf522fc169ba"><li id="mrs_01_1986__l07f53fec5fcf4b6db7a9542f9d4a81b3">If the values of the fields in a table are smaller than the threshold, the corresponding data in the table is broadcast.</li><li id="mrs_01_1986__l9878428df63f4ea1810cfa938dcacf8e">If the values of the fields in the two tables are greater than the threshold, do not broadcast either of the table.</li></ul>
+</li></ul>
+</li><li id="mrs_01_1986__l59e26ba58b3b4ebeb30b4e9af6178669">(Optional) In the following scenarios, you need to run the Analyze command (<i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1986__cmdname1089652810393">ANALYZE TABLE tableName COMPUTE STATISTICS noscan;</span></b></i>) to update metadata before performing the broadcast operation:<ul id="mrs_01_1986__u90525b974a554099a04bf5c4f8787c8c"><li id="mrs_01_1986__l2f1db06a98c749899115eafd144d07b3">The table to be broadcasted is a newly created partitioned table and the file type is non-Parquet.</li><li id="mrs_01_1986__l4b1c9d65b5b1482588b631ba434e901c">The table to be broadcasted is a newly updated partitioned table.</li></ul>
+</li></ol>
+</div>
+<div class="section" id="mrs_01_1986__saf5ebbaaafe44e1d9ecf5c792d59066b"><h4 class="sectiontitle">Reference</h4><p id="mrs_01_1986__a77c8719f45ae499ab4c1318592e74f45">A task is ended if a timeout occurs during the execution of the to-be-broadcasted table.</p>
+<p id="mrs_01_1986__ad2b3d3805b494e5caf0e6bc55ab857e4">By default, BroadCastJoin allows only 5 minutes for the to-be-broadcasted table calculation. If the time is exceeded, a timeout will occur. However, the broadcast task of the to-be-broadcasted table calculation is still being executed, resulting in resource waste.</p>
+<p id="mrs_01_1986__a17ec4fd56cb8432d8f013de0848ca275">The following methods can be used to address this issue:</p>
+<ul id="mrs_01_1986__u829eab3c168d4135b8add9d7c3179324"><li id="mrs_01_1986__lbcc7a3d533974fc4a92252a432a63c95">Modify the value of <span class="parmname" id="mrs_01_1986__parmname115191345174218"><b>spark.sql.broadcastTimeout</b></span> to increase the timeout duration.</li><li id="mrs_01_1986__l274ebf4a34384bc0b77492a6b208eb3e">Reduce the value of <span class="parmname" id="mrs_01_1986__parmname1858155184218"><b>spark.sql.autoBroadcastJoinThreshold</b></span> to disable the optimization of BroadCastJoin.</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1985.html">Spark SQL and DataFrame Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1987.html b/docs/mrs/component-operation-guide/mrs_01_1987.html
new file mode 100644
index 000000000..338069d8f
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1987.html
@@ -0,0 +1,80 @@
+<a name="mrs_01_1987"></a><a name="mrs_01_1987"></a>
+
+<h1 class="topictitle1">Improving Spark SQL Calculation Performance Under Data Skew</h1>
+<div id="body1595920218427"><div class="section" id="mrs_01_1987__s48ecc6f68c104b189d3d24e0055f703e"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1987__ae170713b63ca454db4264308d55554ca">When multiple tables are joined in Spark SQL, skew occurs in join keys and the data volume in some Hash buckets is much higher than that in other buckets. As a result, some tasks with a large amount of data run slowly, resulting low computing performance. Other tasks with a small amount of data are quickly completed, which frees many CPUs and results in a waste of CPU resources.</p>
+<p id="mrs_01_1987__ad31883d5f76c43fc98b0e59ec4c78831">If the automatic data skew function is enabled, data that exceeds the bucketing threshold is bucketed. Multiple tasks proceed data in one bucket. Therefore, CUP usage is enhanced and the system performance is improved.</p>
+<div class="note" id="mrs_01_1987__nfc19a9710d4948738ce2134cd8eae99f"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1987__a7121b75c23014576a653878ece6731e4">Data that has no skew is bucketed and run in the original way.</p>
+</div></div>
+<p id="mrs_01_1987__a07ecd141d61e41e0a93b9ba5a5f040d4">Restrictions:</p>
+<ul id="mrs_01_1987__u0ec9ed84dcc34e3694cd9f75a2a9c577"><li id="mrs_01_1987__lb714e01067e44e429f3a5efa1b32245d">Only the join between two tables is supported.</li><li id="mrs_01_1987__l119f10f660894882a900aa22c2cc1802">FULL OUTER JOIN data does not support data skew.<p id="mrs_01_1987__a4215180e46d04267903157b7b7354f33"><a name="mrs_01_1987__l119f10f660894882a900aa22c2cc1802"></a><a name="l119f10f660894882a900aa22c2cc1802"></a>For example, the following SQL statement indicates that the skew of table <strong id="mrs_01_1987__b7578857173918">a</strong> or table <strong id="mrs_01_1987__b205831157163918">b</strong> cannot trigger the optimization. </p>
+<p id="mrs_01_1987__a36d927212c894162ad8774fe14a1fd40"><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1987__cea5ce5d536f34ee4b3aa3636ddc10fbe">select aid FROM a FULL OUTER JOIN b ON aid=bid;</span></b></i></p>
+</li><li id="mrs_01_1987__l40f4ab9a72e048f0bd69768dfe5e7cbe">LEFT OUTER JOIN data does not support the data skew of the right table.<p id="mrs_01_1987__a878915f2f6a440ae8f4d7a1a85f88e17"><a name="mrs_01_1987__l40f4ab9a72e048f0bd69768dfe5e7cbe"></a><a name="l40f4ab9a72e048f0bd69768dfe5e7cbe"></a>For example, the following SQL statement indicates that the skew of table <strong id="mrs_01_1987__b157391910114013">b</strong> cannot trigger the optimization. </p>
+<p id="mrs_01_1987__ae9e709962a184c6ebd3bce4e5388b09f"><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1987__c572e9ca847d64a65988c32087e5b0046">select aid FROM a LEFT OUTER JOIN b ON aid=bid;</span></b></i></p>
+</li><li id="mrs_01_1987__lcaa092e2904e4f74969d0140db3e2693">RIGHT OUTER JOIN does not support the data skew of the left table.<p id="mrs_01_1987__aeec1cc34a5864302ae7a1e2f25140d44"><a name="mrs_01_1987__lcaa092e2904e4f74969d0140db3e2693"></a><a name="lcaa092e2904e4f74969d0140db3e2693"></a>For example, the following SQL statement indicates that the skew of table <strong id="mrs_01_1987__b5559112054017">a</strong> cannot trigger the optimization. </p>
+<p id="mrs_01_1987__a7b6b29a58fc64c0aab4191920b9d92bc"><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1987__cdb5a1861783a4b3f995725f459bf0728">select aid FROM a RIGHT OUTER JOIN b ON aid=bid;</span></b></i></p>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1987__sbe278eb74aae44dd8591a8c2ae7ca571"><h4 class="sectiontitle">Configuration Description</h4><p id="mrs_01_1987__a6c7ae09411874f84b1f32365fa4dccca">Add the following parameters in the following table to the <span class="filepath" id="mrs_01_1987__fdaf870508546484b8105bb2af7d35aa9"><b>spark-defaults.conf</b></span> configuration file on the Spark driver.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1987__t49ec7613cfe54495a049b0525719367f" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1987__rde1ce0798b2d4f09b00036b48806cab7"><th align="left" class="cellrowborder" valign="top" width="24.8%" id="mcps1.3.2.3.2.4.1.1"><p id="mrs_01_1987__ab645abe8dc314a2dadf03f8aa279386e"><strong id="mrs_01_1987__b16351153734014">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="64.86%" id="mcps1.3.2.3.2.4.1.2"><p id="mrs_01_1987__a5960fe6211634b6aab87e57010a23942"><strong id="mrs_01_1987__b969017385400">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="10.34%" id="mcps1.3.2.3.2.4.1.3"><p id="mrs_01_1987__a712b4e7ddc5449b1a0929bf5e5d1b571"><strong id="mrs_01_1987__b159232397409">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1987__r000ee61156af4dbf98994038de1477e6"><td class="cellrowborder" valign="top" width="24.8%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1987__ac6d3382c42554c56b9232504e5a0583f">spark.sql.adaptive.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.86%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1987__a68451bd02b164696acb17735e3c641db">The switch to enable the adaptive execution feature.</p>
+<p id="mrs_01_1987__p17918584318">Note: If AQE and Static Partition Pruning (DPP) are enabled at the same time, DPP takes precedence over AQE during SparkSQL task execution. As a result, AQE does not take effect. The DPP in the cluster is enabled by default. Therefore, you need to disable it when enabling the AQE.</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.34%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1987__a71444c4db18842ccb100761ecf4f2977">false</p>
+</td>
+</tr>
+<tr id="mrs_01_1987__row483253443915"><td class="cellrowborder" valign="top" width="24.8%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1987__p108323343396">spark.sql.optimizer.dynamicPartitionPruning.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.86%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1987__p883223493914">The switch to enable DPP.</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.34%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1987__p1083223412392">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1987__row14974153922417"><td class="cellrowborder" valign="top" width="24.8%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1987__p6974123913242">spark.sql.adaptive.skewJoin.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.86%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1987__p14615111220">Specifies whether to enable the function of automatic processing of the data skew in join operations. The function is enabled when this parameter is set to <strong id="mrs_01_1987__b15388115577">true</strong> and <strong id="mrs_01_1987__b3384145718">spark.sql.adaptive.enabled</strong> is set to <strong id="mrs_01_1987__b73871175719">true</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.34%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1987__p1597416394244">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1987__row101471616113511"><td class="cellrowborder" valign="top" width="24.8%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1987__p13147101623511">spark.sql.adaptive.skewJoin.skewedPartitionFactor</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.86%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1987__p34791114215">This parameter is a multiplier used to determine whether a partition is a data skew partition. If the data size of a partition exceeds the value of this parameter multiplied by the median of the all partition sizes except this partition and exceeds the value of <strong id="mrs_01_1987__b177329303245754">spark.sql.adaptive.skewJoin.skewedPartitionThresholdInBytes</strong>, this partition is considered as a data skew partition.</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.34%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1987__p11471916163512">5</p>
+</td>
+</tr>
+<tr id="mrs_01_1987__r3a913f8d84974d2ab4f084da83b3b8cc"><td class="cellrowborder" valign="top" width="24.8%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1987__aa0f95b4a8fba4b8894d23196ee267b0c">spark.sql.adaptive.skewjoin.skewedPartitionThresholdInBytes</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.86%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1987__p38751086293">If the partition size (unit: byte) is greater than the threshold as well as the product of the <strong id="mrs_01_1987__b332795034211">spark.sql.adaptive.skewJoin.skewedPartitionFactor</strong> value and the median partition size, skew occurs in the partition. Ideally, the value of this parameter should be greater than that of <strong id="mrs_01_1987__b38020894320">spark.sql.adaptive.advisoryPartitionSizeInBytes.</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.34%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1987__a439f21f1f8a644f095bb057c6534a6e2">256MB</p>
+</td>
+</tr>
+<tr id="mrs_01_1987__rf7fd716e99314bb99cb5db373263a0c8"><td class="cellrowborder" valign="top" width="24.8%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1987__ae2b56c2b191748daa6b580862e0e9127">spark.sql.adaptive.shuffle.targetPostShuffleInputSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="64.86%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1987__a9108f042b28d403487fe40c6383846b9">Minimum amount of shuffle data processed by each task. The unit is byte.</p>
+</td>
+<td class="cellrowborder" valign="top" width="10.34%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1987__a55cbbb1a53b54a48b4e7703d4400bbcc">67108864</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1985.html">Spark SQL and DataFrame Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1988.html b/docs/mrs/component-operation-guide/mrs_01_1988.html
new file mode 100644
index 000000000..08e0b4678
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@@ -0,0 +1,44 @@
+<a name="mrs_01_1988"></a><a name="mrs_01_1988"></a>
+
+<h1 class="topictitle1">Optimizing Spark SQL Performance in the Small File Scenario</h1>
+<div id="body1595920218429"><div class="section" id="mrs_01_1988__s2fd56ad0027a4d3a879d6278b01de72b"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1988__a3b453994cae749fa94f748b0b71b32ac">A Spark SQL table may have many small files (far smaller than an HDFS block), each of which maps to a partition on the Spark by default. In other words, each small file is a task. If the small files are great in number, Spark must initiate a large number of tasks. If shuffle operations exist in Spark SQL, the number of hash buckets increases, affecting performance.</p>
+<p id="mrs_01_1988__a1e49a7fc6511478abf5b98df1596162b">In this scenario, you can manually specify the split size of each task to avoid an excessive number of tasks and improve performance.</p>
+<div class="note" id="mrs_01_1988__need28b6a63be4e329acbd390579d03f2"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1988__ac19f33d01cfa46e98adf0a6662db3fc2">If the SQL logic does not involve shuffle operations, this optimization does not improve performance.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_1988__s844906550410480ca86f1727c3c91e50"><h4 class="sectiontitle">Configuration</h4><p id="mrs_01_1988__a44f57251241d4e19a8581319184cf8ca">If you want to enable small file optimization, configure the <strong id="mrs_01_1988__b656773384016">spark-defaults.conf</strong> file on the Spark client.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1988__t858790d4a9324f15885c2d2c0b223a54" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1988__r3ba3c9e1c4f442ceb55b35a976ae66b2"><th align="left" class="cellrowborder" valign="top" width="21.26%" id="mcps1.3.2.3.2.4.1.1"><p id="mrs_01_1988__acb65cfd331c1452cab1d987d8e8f1973">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="66.47999999999999%" id="mcps1.3.2.3.2.4.1.2"><p id="mrs_01_1988__af584a20685c5480398b23e7e008b9a1d">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="12.26%" id="mcps1.3.2.3.2.4.1.3"><p id="mrs_01_1988__a54e4b9a257d9455d82a032583f24ba86">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1988__r862d1f6bcd024e2ba47d69ace17ffe90"><td class="cellrowborder" valign="top" width="21.26%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1988__a0f0971d3e5af40bcb96da170b84f18f7">spark.sql.files.maxPartitionBytes</p>
+</td>
+<td class="cellrowborder" valign="top" width="66.47999999999999%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1988__aec8d0a215205417989c94fe8e5daf480">The maximum number of bytes that can be packed into a single partition when a file is read.</p>
+<p id="mrs_01_1988__a19b8b26c2a6644b1aea33e8b24bf4d1c">Unit: byte</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.26%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1988__ac449f685b84e492ea5a7389a84530c19">134217728 (128 MB)</p>
+</td>
+</tr>
+<tr id="mrs_01_1988__rb17dddae024e42a7bd8354852507dc7f"><td class="cellrowborder" valign="top" width="21.26%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1988__ad91997b89ab24e13ba2978c4bcc79499"><span id="mrs_01_1988__p2e963c6e607c4d948d7172ee1841db6c">spark.files.openCostInBytes</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="66.47999999999999%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1988__a047baa98ee5843268c2c514b2fa2fa33"><span id="mrs_01_1988__ph14341145065320">The estimated cost to open a file, measured by the number of bytes that can be scanned in the same time. This is used when putting multiple files into a partition. It is better to over estimate, then the partitions with small files will be faster than partitions with larger files.</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="12.26%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1988__a086e9d5010e442dca2f8c0ea4fb654d8"><span id="mrs_01_1988__pa47960dafff548a59a90cc6edff76484">4 MB</span></p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1985.html">Spark SQL and DataFrame Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1989.html b/docs/mrs/component-operation-guide/mrs_01_1989.html
new file mode 100644
index 000000000..cbe4a60a2
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@@ -0,0 +1,22 @@
+<a name="mrs_01_1989"></a><a name="mrs_01_1989"></a>
+
+<h1 class="topictitle1">Optimizing the INSERT...SELECT Operation</h1>
+<div id="body1595920218430"><div class="section" id="mrs_01_1989__sf684523b485d487f95f5161b60e7d6e1"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1989__ab8b14763c2e94537976db71e8295eecd">The INSERT...SELECT operation needs to be optimized if any of the following conditions is true:</p>
+<ul id="mrs_01_1989__u4aba18d43be8470fb27f235aa71e2a40"><li id="mrs_01_1989__lc405a48494ed447faffc8c9ed5ce4775">Many small files need to be queried.</li><li id="mrs_01_1989__l21c7c29047aa4adeb72b9be56e88c68e">A few large files need to be queried.</li><li id="mrs_01_1989__la832a58cdc44435fa6d5be50756f16e5">The INSERT...SELECT operation is performed by a non-spark user in Beeline/JDBCServer mode.</li></ul>
+</div>
+<div class="section" id="mrs_01_1989__sc832b2c8d7254fddb6ca7d9688318c62"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1989__aeebbd204e27e44fcbf73d9edb9868c66">Optimize the INSERT...SELECT operation as follows:</p>
+<ul id="mrs_01_1989__u4e5c67d1d47f49e381dd9ed41d2a6a8a"><li id="mrs_01_1989__lc17299a875024029bdc0938c6ba2f9c2">If the table to be created is the Hive table, set the storage type to Parquet. This enables INSERT...SELECT statements to be run faster.</li><li id="mrs_01_1989__lfeaee548dfb748909473eef9b64d81b3">Perform the INSERT...SELECT operation as a spark-sql user or spark user (if in Beeline/JDBCServer mode). In this way, it is no longer necessary to change the file owner repeatedly, accelerating the execution of INSERT...SELECT statements.<div class="note" id="mrs_01_1989__ne822253d443846889e6dd26bc51d684d"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1989__aba50ec55f716410ca7774de11bb5ee6a">In Beeline/JDBCServer mode, the executor user is the same as the driver user. The driver user is a spark user because the driver is a part of JDBCServer service and started by a spark user. If the Beeline user is not a spark user, the file owner must be changed to the Beeline user (actual user) because the executor is unaware of the Beeline user.</p>
+</div></div>
+</li><li id="mrs_01_1989__le4f42ac06f9346469feb019098fefa75">If many small files need to be queried, set spark.sql.files.maxPartitionBytes and spark.files.openCostInBytes to set the maximum size in bytes of partition and combine multiple small files in a partition to reduce file amount. This accelerates file renaming, ultimately enabling INSERT...SELECT statements to be run faster.</li></ul>
+<div class="note" id="mrs_01_1989__ne20f611435d04ea0946a8dc1bd0e5bd3"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1989__a7d6c0990019a42e8a62b26d7679071f7">The preceding optimizations are not a one-size-fits-all solution. In the following scenario, it still takes long to perform the INSERT...SELECT operation:</p>
+<p id="mrs_01_1989__a26d5b4bb706d4a6c8d3b1259af92aa9c">The dynamic partitioned table contains many partitions.</p>
+</div></div>
+</div>
+<p id="mrs_01_1989__a55cdc08aed39429b943fdcf5d68ca849"></p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1985.html">Spark SQL and DataFrame Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1990.html b/docs/mrs/component-operation-guide/mrs_01_1990.html
new file mode 100644
index 000000000..696f81f96
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@@ -0,0 +1,39 @@
+<a name="mrs_01_1990"></a><a name="mrs_01_1990"></a>
+
+<h1 class="topictitle1">Multiple JDBC Clients Concurrently Connecting to JDBCServer</h1>
+<div id="body1595920218431"><div class="section" id="mrs_01_1990__se9244b68372944928499ce32dff51467"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1990__ae05b426ffd02443088f37989be8328e2">Multiple clients can be connected to JDBCServer at the same time. However, if the number of concurrent tasks is too large, the default configuration of JDBCServer must be optimized to adapt to the scenario.</p>
+</div>
+<div class="section" id="mrs_01_1990__sd4eb11d4a4da4433ba638ee8a1dc6c1d"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_1990__o721cf9b2d8954d9c8883c62f4af0cdfd"><li id="mrs_01_1990__lcc0bc45459384d8791573751d8996a96">Set the fair scheduling policy of JDBCServer.<div class="p" id="mrs_01_1990__a28b8e936795c4ced9cd3c6481fa0cf07"><a name="mrs_01_1990__lcc0bc45459384d8791573751d8996a96"></a><a name="lcc0bc45459384d8791573751d8996a96"></a>The default scheduling policy of Spark is <strong id="mrs_01_1990__b4557603578">FIFO</strong>, which may cause a failure of short tasks in multi-task scenarios. Therefore, the fair scheduling policy must be used in multi-task scenarios to prevent task failure.<ol type="a" id="mrs_01_1990__o4a1a780875f24401a8a499525e6ab98f"><li id="mrs_01_1990__ld6f4f549733a47b09446c05e98fb4bc9">For details about how to configure Fair Scheduler in Spark, visit <a href="http://spark.apache.org/docs/3.1.1/job-scheduling.html#scheduling-within-an-application" target="_blank" rel="noopener noreferrer">http://spark.apache.org/docs/3.1.1/job-scheduling.html#scheduling-within-an-application</a>.</li><li id="mrs_01_1990__l4cab9a3de03e4eb8aefe85f396efcf04">Configure Fair Scheduler on the JDBC client.<ol class="substepthirdol" id="mrs_01_1990__od906f962b0e44f1688693ce7f120d5b5"><li id="mrs_01_1990__l5a14c99fd3a649ff96046a42237e61fe">In the Beeline command line client or the code defined by JDBC, run the following statement:<p id="mrs_01_1990__ad2fae1cfd15e438886b3d0458ee39f2a"><a name="mrs_01_1990__l5a14c99fd3a649ff96046a42237e61fe"></a><a name="l5a14c99fd3a649ff96046a42237e61fe"></a><strong id="mrs_01_1990__b179168391583">PoolName</strong> is a scheduling pool for Fair Scheduler.</p>
+<pre class="screen" id="mrs_01_1990__s3f60da592e9741ac840e55dc23e9667c">SET spark.sql.thriftserver.scheduler.pool=PoolName;</pre>
+</li><li id="mrs_01_1990__l1e843234bbb64356a27229f9f1369f45">Run the SQL command. The Spark task will be executed in the preceding scheduling pool.</li></ol>
+</li></ol>
+</div>
+</li><li id="mrs_01_1990__lea4c072fbb1f4db1a6a1502966420c71">Set the <strong id="mrs_01_1990__b0931125855920">BroadCastHashJoin</strong> timeout interval.<div class="p" id="mrs_01_1990__a2cb1dc9e9a5a4c7085d3cb9b9c0a75f0">There is a timeout parameter of <strong id="mrs_01_1990__b13478141017">BroadCastHashJoin</strong>. The task query fails if the query period exceeds the preset timeout interval. In multi-task scenarios, the Spark task of BroadCastHashJoin may fail due to resource preemption. Therefore, it is necessary to modify the timeout interval in the <strong id="mrs_01_1990__b1454913321010">spark-defaults.conf</strong> file of JDBCServer.
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1990__tf783bc54dbb048eea7ef0c02f29c79ac" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1990__rf433b3c6c9bd4a2b921d5811baba8e57"><th align="left" class="cellrowborder" valign="top" width="24.75%" id="mcps1.3.2.2.2.2.3.2.4.1.1"><p id="mrs_01_1990__ad6c7ae59e82d460a9959752d1ebedd4f">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="48.620000000000005%" id="mcps1.3.2.2.2.2.3.2.4.1.2"><p id="mrs_01_1990__a1a3dbb084ca44163815247126e356d0e">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="26.63%" id="mcps1.3.2.2.2.2.3.2.4.1.3"><p id="mrs_01_1990__a8b72f43487f0422d9350009d7996f8bc">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1990__ra51a01bddd7d41cb95fdf5d257e36967"><td class="cellrowborder" valign="top" width="24.75%" headers="mcps1.3.2.2.2.2.3.2.4.1.1 "><p id="mrs_01_1990__aff366ae080dc4bd5814567ba92ea182c">spark.sql.broadcastTimeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.620000000000005%" headers="mcps1.3.2.2.2.2.3.2.4.1.2 "><p id="mrs_01_1990__a1a85f1e55af34c60ba44793632bf0f64">The timeout interval in the broadcast table of <strong id="mrs_01_1990__b17167122717210">BroadcastHashJoin</strong>. If there are many concurrent tasks, set the parameter to a larger value or a negative number.</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.63%" headers="mcps1.3.2.2.2.2.3.2.4.1.3 "><p id="mrs_01_1990__a7ea3a8f6f6294d39ba690f90faaac26d">-1 (Numeral type. The actual value is 5 minutes.)</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1985.html">Spark SQL and DataFrame Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1992.html b/docs/mrs/component-operation-guide/mrs_01_1992.html
new file mode 100644
index 000000000..f331e42e5
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1992.html
@@ -0,0 +1,17 @@
+<a name="mrs_01_1992"></a><a name="mrs_01_1992"></a>
+
+<h1 class="topictitle1">Optimizing Memory when Data Is Inserted into Dynamic Partitioned Tables</h1>
+<div id="body1595920218639"><div class="section" id="mrs_01_1992__se7cd8e362d444eefb02fe601787937f4"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1992__a085e5d75807347a688f52b015841d1b2">When SparkSQL inserts data to dynamic partitioned tables, the more partitions there are, the more HDFS files a single task generates and the more memory metadata occupies. In this case, Garbage Collection (GC) is severe and Out of Memory (OOM) may occur.</p>
+<p id="mrs_01_1992__a3f499fb95639456b83046e625b48a755">Assume there are 10240 tasks and 2000 partitioned. Before the rename operation of HDFS files from a temporary directory to the target directory, there is about 29 GB FileStatus metadata.</p>
+</div>
+<div class="section" id="mrs_01_1992__sca4d708db25446e5ad0379233f155ef8"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1992__a3a642af243c0494485740880255e48e0">Insert <strong id="mrs_01_1992__a6530e4465088470286bb7b30ceece126">distribute by</strong> followed by partition fields into dynamic partition statements.</p>
+<p id="mrs_01_1992__a7ce82dc1925b4d61bf5d0450f6ebc395">For example:</p>
+<p id="mrs_01_1992__ac5947be3a8f048e69945b2969257d791">insert into table store_returns partition (sr_returned_date_sk) select sr_return_time_sk,sr_item_sk,sr_customer_sk,sr_cdemo_sk,sr_hdemo_sk,sr_addr_sk,sr_store_sk,sr_reason_sk,sr_ticket_number,sr_return_quantity,sr_return_amt,sr_return_tax,sr_return_amt_inc_tax,sr_fee,sr_return_ship_cost,sr_refunded_cash,sr_reversed_charge,sr_store_credit,sr_net_loss,sr_returned_date_sk from ${SOURCE}.store_returns <strong id="mrs_01_1992__a8aa6b16af38e4e5da3abd919ca5900ed">distribute by sr_returned_date_sk</strong>;</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1985.html">Spark SQL and DataFrame Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1995.html b/docs/mrs/component-operation-guide/mrs_01_1995.html
new file mode 100644
index 000000000..f45ab178d
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+++ b/docs/mrs/component-operation-guide/mrs_01_1995.html
@@ -0,0 +1,43 @@
+<a name="mrs_01_1995"></a><a name="mrs_01_1995"></a>
+
+<h1 class="topictitle1">Optimizing Small Files</h1>
+<div id="body1595920218805"><div class="section" id="mrs_01_1995__s883b8dce237248768cdae0555b5ca297"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1995__a66e4075625884a748136a2fd76982aa6">A Spark SQL table may have many small files (far smaller than an HDFS block), each of which maps to a partition on the Spark by default. In other words, each small file is a task. In this way, Spark has to start many such tasks. If a shuffle operation is involved in the SQL logic, the number of hash buckets soars, severely hindering system performance.</p>
+<p id="mrs_01_1995__a902115f15b1d42c6967c7a0125902213">In case of massive number of small files, when DataSource creates an RDD, it splits small files in the Spark SQL table to PartitionedFiles and then merges the PartitionedFiles to a partition to avoid generating too many hash buckets during the shuffle operation. See <a href="#mrs_01_1995__fc95571bfb3be4f21b9f7dbcdcf493ebb">Figure 1</a>.</p>
+<div class="fignone" id="mrs_01_1995__fc95571bfb3be4f21b9f7dbcdcf493ebb"><a name="mrs_01_1995__fc95571bfb3be4f21b9f7dbcdcf493ebb"></a><a name="fc95571bfb3be4f21b9f7dbcdcf493ebb"></a><span class="figcap"><b>Figure 1 </b>Merging small files</span><br><span><img id="mrs_01_1995__i0aa5cb65cab540118a70f11982c04e7d" src="en-us_image_0000001349170393.jpg"></span></div>
+</div>
+<div class="section" id="mrs_01_1995__sce4aa1c5e7bb40b4b4d84b9e5b8f66e1"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1995__a50e74d62af4b4b87aceb7b4c68e285f9">If you want to enable small file optimization, configure the <strong id="mrs_01_1995__b57221718174219">spark-defaults.conf</strong> file on the Spark client.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1995__t8b6506cddde94980b93aefcbf127964f" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1995__rf73156e0f9c24416a394bd0f00bfcffa"><th align="left" class="cellrowborder" valign="top" width="36.4%" id="mcps1.3.2.3.2.4.1.1"><p id="mrs_01_1995__a63802da194a4424096e72d3f2c5bb49e">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50.88%" id="mcps1.3.2.3.2.4.1.2"><p id="mrs_01_1995__a0edadaa277b74b4badb910e9ae827959">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="12.72%" id="mcps1.3.2.3.2.4.1.3"><p id="mrs_01_1995__a4a40b4885c584f31944b961593985d74">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1995__r94404f5076504d62b57749aec6967247"><td class="cellrowborder" valign="top" width="36.4%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1995__a508f66f77a78479c9375caa4ba4a3189">spark.sql.files.maxPartitionBytes</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.88%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1995__a98c5455bf16d44d6be51421a44abc664">The maximum number of bytes that can be packed into a single partition when a file is read.</p>
+<p id="mrs_01_1995__a0786b4434b50462c839e6d01aafd96b8">Unit: byte</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.72%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1995__a0322e17d0dba4c4f899f6a439167029c">134217728 (128 MB)</p>
+</td>
+</tr>
+<tr id="mrs_01_1995__rfeee362c797d4609a48a880e1539a507"><td class="cellrowborder" valign="top" width="36.4%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1995__a876d5ea9c3c547649071012e763c16fa"><span id="mrs_01_1995__pd23cbe816ebf4fd993272ef84c5f859e">spark.files.openCostInBytes</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="50.88%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1995__af1abe43ea676424d8c57a21417e029b9"><span id="mrs_01_1995__ph163221249185419">The estimated cost to open a file, measured by the number of bytes that can be scanned in the same time. This is used when putting multiple files into a partition. It is better to over estimate, then the partitions with small files will be faster than partitions with larger files.</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="12.72%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1995__a436ec817477d4a2bb30c16df7f30fc58"><span id="mrs_01_1995__ph19724171775512">4 MB</span></p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1985.html">Spark SQL and DataFrame Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1996.html b/docs/mrs/component-operation-guide/mrs_01_1996.html
new file mode 100644
index 000000000..7cd7054ab
--- /dev/null
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@@ -0,0 +1,34 @@
+<a name="mrs_01_1996"></a><a name="mrs_01_1996"></a>
+
+<h1 class="topictitle1">Optimizing the Aggregate Algorithms</h1>
+<div id="body1595920218806"><div class="section" id="mrs_01_1996__s90352889825547da8a4e4619c098d461"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1996__a64aa6614e4274e24b2e2de753b516b8d">Spark SQL supports hash aggregate algorithm. Namely, use fast aggregate hashmap as cache to improve aggregate performance. The hashmap replaces the previous ColumnarBatch to avoid performance problems caused by the wide mode (multiple key or value fields) of an aggregate table.</p>
+</div>
+<div class="section" id="mrs_01_1996__sb56d9be516f9454780cead1a6fe61876"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1996__a307bcceb4f4c4049b2c00fc0e369deb2">If you want to enable optimization of aggregate algorithm, configure following parameters in the <strong id="mrs_01_1996__b4454848115510">spark-defaults.conf</strong> file on the Spark client.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1996__t01efc2057d83465ba6100892e94d9bd7" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1996__r72f49c3995d44cffbbc88f8028342237"><th align="left" class="cellrowborder" valign="top" width="36.4%" id="mcps1.3.2.3.2.4.1.1"><p id="mrs_01_1996__a9f4d7e009ce44fefbdc8cf0e603a61b0">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50.88%" id="mcps1.3.2.3.2.4.1.2"><p id="mrs_01_1996__a51c53fc1b66e4ecb940b98ddaed5da72">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="12.72%" id="mcps1.3.2.3.2.4.1.3"><p id="mrs_01_1996__a0e559043d9a34e27b3341effcb9c8bee">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1996__r7eb2288b794e400589837b2b2e6e9605"><td class="cellrowborder" valign="top" width="36.4%" headers="mcps1.3.2.3.2.4.1.1 "><p id="mrs_01_1996__adb9bb829b4a947019f57d7bea966e802">spark.sql.codegen.aggregate.map.twolevel.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.88%" headers="mcps1.3.2.3.2.4.1.2 "><p id="mrs_01_1996__ab5f729b79fba4004995abc5788b1177d">Specifies whether to enable aggregation algorithm optimization.</p>
+<ul id="mrs_01_1996__u5dd0451879ee4821a62b556eef97f918"><li id="mrs_01_1996__la7ce44aa8b6b4d5b9f5bf4d9c3df8a85"><strong id="mrs_01_1996__b8320145019568">true</strong>: Enable</li><li id="mrs_01_1996__l294824ef9ee24202874d08f898b3f7c7"><strong id="mrs_01_1996__b616652105613">false</strong>: Disable</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="12.72%" headers="mcps1.3.2.3.2.4.1.3 "><p id="mrs_01_1996__a11d99653fe594768bdb9872dd122ca03">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1985.html">Spark SQL and DataFrame Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1997.html b/docs/mrs/component-operation-guide/mrs_01_1997.html
new file mode 100644
index 000000000..125160fb2
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1997.html
@@ -0,0 +1,65 @@
+<a name="mrs_01_1997"></a><a name="mrs_01_1997"></a>
+
+<h1 class="topictitle1">Optimizing Datasource Tables</h1>
+<div id="body1595920218808"><div class="section" id="mrs_01_1997__sb041ae7f6de74030aea62708c73c0c0a"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1997__a5e8a593b7e70436c864cad9a7e46c82a">Save the partition information about the datasource table to the Metastore and process partition information in the Metastore.</p>
+<ul id="mrs_01_1997__u5ddd127a89944f92a238daf43990ddeb"><li id="mrs_01_1997__la9fe3f75573c42aebf865e67c6264b2d">Optimize the datasource tables, support syntax such as adding, deletion, and modification in the table based on partitions, improving compatibility with Hive.</li><li id="mrs_01_1997__la077ac602115487e971078f431980bde">Support statements of partition tailoring and push down to the Metastore to filter unmatched partitions.<div class="p" id="mrs_01_1997__a9cc1e9f111ba47fcb38974c74821fa69"><a name="mrs_01_1997__la077ac602115487e971078f431980bde"></a><a name="la077ac602115487e971078f431980bde"></a>Example:<pre class="screen" id="mrs_01_1997__s898de8f94ae640a289b79c6c1f84442a">select count(*) from table where partCol=1;    //partCol (partition column)</pre>
+</div>
+<p id="mrs_01_1997__a8a7e0061e9c243278aa6f3348e29ac2f">You need only to process data corresponding to partCol=1 when performing the TableScan operation in the physical plan.</p>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1997__scdc4ea91e25044338a8a1fb07a4d601e"><h4 class="sectiontitle">Procedure</h4><div class="p" id="mrs_01_1997__a4d2dc0bb9f3448a68c7fdc8b45954c56">If you want to enable Datasource table optimization, configure the <strong id="mrs_01_1997__b118314185818">spark-defaults.conf</strong> file on the Spark client.
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1997__t7f273d3997f34efaa45e88b285717334" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1997__ra0c516a4bef74577bb55c761d96cc2d8"><th align="left" class="cellrowborder" valign="top" width="36.4%" id="mcps1.3.2.2.2.2.4.1.1"><p id="mrs_01_1997__a3956f84c0f814d1f8db221a829215a4f">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50.88%" id="mcps1.3.2.2.2.2.4.1.2"><p id="mrs_01_1997__a979a91c0d92a41b1a86ddf33f10102a2">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="12.72%" id="mcps1.3.2.2.2.2.4.1.3"><p id="mrs_01_1997__af364d58698a9421394091cb4d6ba2485">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1997__r28c99445e8a7451a870e125565b3b81b"><td class="cellrowborder" valign="top" width="36.4%" headers="mcps1.3.2.2.2.2.4.1.1 "><p id="mrs_01_1997__a7d9b6b8f80764987866be7226105cf1e">spark.sql.hive.manageFilesourcePartitions</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.88%" headers="mcps1.3.2.2.2.2.4.1.2 "><p id="mrs_01_1997__a4f160f6c3f5e4972882e432547718964">Specifies whether to enable Metastore partition management (including datasource tables and converted Hive).</p>
+<ul id="mrs_01_1997__u9ff68da24ff44b7998438cd30a85befd"><li id="mrs_01_1997__l3da75ece7d794aa0a13a4bcf1eea8e3d"><strong id="mrs_01_1997__b1197532820588">true</strong> indicates enabling Metastore partition management. In this case, datasource tables are stored in Hive and Metastore is used to tailor partitions in query statements.</li></ul>
+<ul id="mrs_01_1997__uef68f174a233437a928af4d4ff2bbe88"><li id="mrs_01_1997__l0db472b8d16146afa74489b1c664d463"><strong id="mrs_01_1997__b54501344115819">false</strong> indicates disabling Metastore partition management.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="12.72%" headers="mcps1.3.2.2.2.2.4.1.3 "><p id="mrs_01_1997__a5a26a23c61224ec1bb64b1e7aeeac725">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1997__rbaccc82ae0b54876a9722429799ae6c4"><td class="cellrowborder" valign="top" width="36.4%" headers="mcps1.3.2.2.2.2.4.1.1 "><p id="mrs_01_1997__ac8995a63963d4b06b62d79fed6d5e934">spark.sql.hive.metastorePartitionPruning</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.88%" headers="mcps1.3.2.2.2.2.4.1.2 "><p id="mrs_01_1997__a3234c7eca65b42fb98d6205b5c2d0c72">Specifies whether to support pushing down predicate to Hive Metastore.</p>
+<ul id="mrs_01_1997__u4a9fd2471bb142129e5f55476f900858"><li id="mrs_01_1997__ld626b09c6d324c2399f29cd6637aca33"><strong id="mrs_01_1997__b13101195475814">true</strong> indicates supporting pushing down predicate to Hive Metastore. Only the predicate of Hive tables is supported.</li></ul>
+<ul id="mrs_01_1997__u02f9f7f2d73e4284b8ed0b14efbe5b68"><li id="mrs_01_1997__la2b6376356314f40a3f8049c16891243"><strong id="mrs_01_1997__b2794165765813">false</strong> indicates not supporting pushing down predicate to Hive Metastore.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="12.72%" headers="mcps1.3.2.2.2.2.4.1.3 "><p id="mrs_01_1997__aac7b94eba912417b9fb24f3ddc74b61b">true</p>
+</td>
+</tr>
+<tr id="mrs_01_1997__r10e94347b9b74b888812e9b48a164dfa"><td class="cellrowborder" valign="top" width="36.4%" headers="mcps1.3.2.2.2.2.4.1.1 "><p id="mrs_01_1997__add88ca072df6454aa46cb2811509b69a">spark.sql.hive.filesourcePartitionFileCacheSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.88%" headers="mcps1.3.2.2.2.2.4.1.2 "><p id="mrs_01_1997__a13cc4f07eabd45b2b6845da8df3918fe">The cache size of the partition file metadata in the memory.</p>
+<p id="mrs_01_1997__a3b742840be3f4507bd0ddb56b4cf9839">All tables share a cache that can use up to specified num bytes for file metadata.</p>
+<p id="mrs_01_1997__af3ae91b49f384ab39361f8836899655a">This parameter is valid only when <span class="parmname" id="mrs_01_1997__parmname9973814707"><b>spark.sql.hive.manageFilesourcePartitions</b></span> is set to <strong id="mrs_01_1997__b1978414301">true</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.72%" headers="mcps1.3.2.2.2.2.4.1.3 "><p id="mrs_01_1997__aed744bbef39a41e7a55cc5b26227924c">250 * 1024 * 1024</p>
+</td>
+</tr>
+<tr id="mrs_01_1997__r3c50338706c14886b332cc045bd44019"><td class="cellrowborder" valign="top" width="36.4%" headers="mcps1.3.2.2.2.2.4.1.1 "><p id="mrs_01_1997__a601027a036af418db52f6918b0711b31">spark.sql.hive.convertMetastoreOrc</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.88%" headers="mcps1.3.2.2.2.2.4.1.2 "><p id="mrs_01_1997__a920d639815a247a88056c8818a18c2c7"><span id="mrs_01_1997__ph19661422606">The processing approach of ORC tables.</span></p>
+<ul id="mrs_01_1997__ucd35c9987aa8487ab2f4a6b41f7e90a4"><li id="mrs_01_1997__l35de4330223246b1acd1622eee986543"><strong id="mrs_01_1997__b15722102812017">false</strong>: Spark SQL uses Hive SerDe to process ORC tables.</li><li id="mrs_01_1997__l73d621fc7f26426e8fedfaa3b011f2bb"><strong id="mrs_01_1997__b1214316328013">true</strong>: Spark SQL uses the Spark built-in mechanism to process ORC tables.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="12.72%" headers="mcps1.3.2.2.2.2.4.1.3 "><p id="mrs_01_1997__ae15446505f664966b4a4f52235ae4fd1">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1985.html">Spark SQL and DataFrame Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1998.html b/docs/mrs/component-operation-guide/mrs_01_1998.html
new file mode 100644
index 000000000..aaa2a9b00
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1998.html
@@ -0,0 +1,66 @@
+<a name="mrs_01_1998"></a><a name="mrs_01_1998"></a>
+
+<h1 class="topictitle1">Merging CBO</h1>
+<div id="body1595920218992"><div class="section" id="mrs_01_1998__sa3e2bbd4b1d540c69c41a1aaf7e55cd5"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1998__p1288985151716">Spark SQL supports rule-based optimization by default. However, the rule-based optimization cannot ensure that Spark selects the optimal query plan. Cost-Based Optimizer (CBO) is a technology that intelligently selects query plans for SQL statements. After CBO is enabled, the CBO optimizer performs a series of estimations based on the table and column statistics to select the optimal query plan.</p>
+</div>
+<div class="section" id="mrs_01_1998__s637bd309b51a4763afd52b7872e94745"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_1998__ac20d9480dec2461f9600837df33f55fa">Perform the following steps to enable CBO:</p>
+<ol id="mrs_01_1998__o376f60bbdf7d427d9e87c97e54246212"><li id="mrs_01_1998__lfe73aa51a9e0487da199fea9461c866c">You need to run corresponding SQL commands to collect required table and column statistics.<p id="mrs_01_1998__a73d4a626d46946b895335d83a8f87e55"><a name="mrs_01_1998__lfe73aa51a9e0487da199fea9461c866c"></a><a name="lfe73aa51a9e0487da199fea9461c866c"></a>SQL commands are as follows (to be chosen as required):</p>
+<ul id="mrs_01_1998__u1c84db8115d64342b337ea9f59595671"><li id="mrs_01_1998__l9b48fd1d7734467083183c65c4aafdb6">Generate table-level statistics (table scanning):<p id="mrs_01_1998__a8e8093cb7b2543a68786bc7d0180e295"><a name="mrs_01_1998__l9b48fd1d7734467083183c65c4aafdb6"></a><a name="l9b48fd1d7734467083183c65c4aafdb6"></a><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1998__cfc672366cef34e9ebd73760e0b70c898">ANALYZE TABLE src COMPUTE STATISTICS</span></b></i></p>
+<p id="mrs_01_1998__a01e8e6f94f0e44c5808276f343c6d950">This command generates <strong id="mrs_01_1998__b1191875153116">sizeInBytes</strong> and <strong id="mrs_01_1998__b09238517318">rowCount</strong>.</p>
+<p id="mrs_01_1998__abe04b910cb7c482489dba0394e0741d6">When you use the ANALYZE statement to collect statistics, sizes of tables not from HDFS cannot be calculated. </p>
+</li><li id="mrs_01_1998__l52df6922c3cd4bfeb58bdbd9df2ebe1c">Generate table-level statistics (no table scanning):<p id="mrs_01_1998__a64b5f2f7811c40e3882e42c85b6ee8dd"><a name="mrs_01_1998__l52df6922c3cd4bfeb58bdbd9df2ebe1c"></a><a name="l52df6922c3cd4bfeb58bdbd9df2ebe1c"></a><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1998__c2f088223bb984cb7b4100f5ddab5df5f">ANALYZE TABLE src COMPUTE STATISTICS NOSCAN</span></b></i></p>
+<p id="mrs_01_1998__a81cf77448cfa4d14b4ebfc0eff0cdf7a">This command generates only <strong id="mrs_01_1998__b02857562317">sizeInBytes</strong>. Compared with the originally generated <strong id="mrs_01_1998__b15290145633116">sizeInBytes</strong> and <strong id="mrs_01_1998__b1329155617317">rowCount</strong> if the <strong id="mrs_01_1998__b1029115614319">sizeInBytes</strong> remains unchanged, <strong id="mrs_01_1998__b1729145611310">rowCount</strong> (if any) reserves. Otherwise, <strong id="mrs_01_1998__b142921756103114">rowCount</strong> is cleared.</p>
+</li><li id="mrs_01_1998__l31fddb46eedd4629a0d780018ae92d64">Generate column-level statistics:<p id="mrs_01_1998__ac88fda91ab8a4e03a2341a4581fb6fb2"><a name="mrs_01_1998__l31fddb46eedd4629a0d780018ae92d64"></a><a name="l31fddb46eedd4629a0d780018ae92d64"></a><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1998__cd2fb564cb33143a9a8a98d5de09916c3">ANALYZE TABLE src COMPUTE STATISTICS FOR COLUMNS a, b, c</span></b></i></p>
+<p id="mrs_01_1998__a14f17d5d0f5041ca98125479119a0811">This command generates column statistics and updates table statistics for consistency. Statistics of complicated data types (such as Seq and Map) and HiveStringType cannot be generated.</p>
+</li><li id="mrs_01_1998__lfbd7b7fdf3d549c5b603462c3379d697">Display statistics:<p id="mrs_01_1998__a053b885f56a341efb7dbf21833ed0fda"><a name="mrs_01_1998__lfbd7b7fdf3d549c5b603462c3379d697"></a><a name="lfbd7b7fdf3d549c5b603462c3379d697"></a><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_1998__c543ab8362d3b468b80716989d01682a7">DESC FORMATTED src</span></b></i></p>
+<p id="mrs_01_1998__aec4002b70959496bbd411bb7562acf69">This command displays <em id="mrs_01_1998__i32451024123318">xxx</em> bytes and <em id="mrs_01_1998__i32511924133314">xxx</em> rows in <strong id="mrs_01_1998__b525162443314">Statistics</strong> to indicate table-level statistics. You can also run the following command to display column statistics:</p>
+<p id="mrs_01_1998__p63218251284"><strong id="mrs_01_1998__b13226655185510">DESC FORMATTED src a</strong></p>
+</li></ul>
+<p id="mrs_01_1998__aa7be78fc5be94ea8b72e410a59d82fa4"><strong id="mrs_01_1998__b876973216331">Limitation</strong>: The current statistics collection does not support statistics for partition levels for partitioned tables.</p>
+</li></ol><ol start="2" id="mrs_01_1998__oc3347a1a52254b35a8acbc28a69ff2e2"><li id="mrs_01_1998__l90e62173aabc47c2ba1ee9d868609fdb">Configure parameters in <a href="#mrs_01_1998__t0f01c19bf3d342d69b1e43165d3651c4">Table 1</a> in the <span class="filepath" id="mrs_01_1998__f389335c59bc940f3880bdc2e4e07b73e"><b>spark-defaults.conf</b></span> file on the Spark client.
+<div class="tablenoborder"><a name="mrs_01_1998__t0f01c19bf3d342d69b1e43165d3651c4"></a><a name="t0f01c19bf3d342d69b1e43165d3651c4"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1998__t0f01c19bf3d342d69b1e43165d3651c4" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_1998__rb9ef34d486ad4457b7c140ac7c5243e8"><th align="left" class="cellrowborder" valign="top" width="36.4%" id="mcps1.3.2.4.1.3.2.4.1.1"><p id="mrs_01_1998__a05b274f73c3041f6a34dd69c90341c4f">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50.88%" id="mcps1.3.2.4.1.3.2.4.1.2"><p id="mrs_01_1998__a8e83292fff7743b490d6d0d245bd6738"><strong id="mrs_01_1998__b557655015338">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="12.72%" id="mcps1.3.2.4.1.3.2.4.1.3"><p id="mrs_01_1998__a6d9950c769ba499b8b18f1556640b762"><strong id="mrs_01_1998__b243185214335">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1998__rb515ca4fb5d94847b8c421e7a81db874"><td class="cellrowborder" valign="top" width="36.4%" headers="mcps1.3.2.4.1.3.2.4.1.1 "><p id="mrs_01_1998__a073693eb4a7441568d003eed9ed60697">spark.sql.cbo.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.88%" headers="mcps1.3.2.4.1.3.2.4.1.2 "><p id="mrs_01_1998__af4ddd8ddb91944dca86307f5f2e9b23a">The switch to enable or disable CBO.</p>
+<ul id="mrs_01_1998__uea6421717be94a15bd8509940df3c474"><li id="mrs_01_1998__l4d3160acde444f3aa96b5543b28839af"><strong id="mrs_01_1998__b16961115633317">true</strong>: Enable</li><li id="mrs_01_1998__l47ff8e44339d4850980ac5c63fdb415d"><strong id="mrs_01_1998__b1819716581337">false</strong>: Disable</li></ul>
+<p id="mrs_01_1998__ad48fdbbb06ca465885a1cb00cb8234f1">To enable this function, ensure that statistics of related tables and columns are generated.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.72%" headers="mcps1.3.2.4.1.3.2.4.1.3 "><p id="mrs_01_1998__a4bc2f3c6b42d4ecdb7a5e5a417f43ae3">false</p>
+</td>
+</tr>
+<tr id="mrs_01_1998__r20c07787337549d3942c7d5b9a663e0b"><td class="cellrowborder" valign="top" width="36.4%" headers="mcps1.3.2.4.1.3.2.4.1.1 "><p id="mrs_01_1998__a2d8493df5d9d420e8bc79f89eb4919b3">spark.sql.cbo.joinReorder.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.88%" headers="mcps1.3.2.4.1.3.2.4.1.2 "><p id="mrs_01_1998__acc47cf33f68c42a58b1d7a20216d5c0d">Specifies whether to automatically adjust the sequence of consecutive inner joins by using CBO.</p>
+<ul id="mrs_01_1998__u107898c36a0b43d18ea673a6af8f60f1"><li id="mrs_01_1998__l2f8b505484fe4b21bc4fd03b7216c024"><strong id="mrs_01_1998__b4545182910342">true</strong>: Enable</li><li id="mrs_01_1998__lc51aa79d44384e17bfb8a575899a22a9"><strong id="mrs_01_1998__b111762310341">false</strong>: Disable</li></ul>
+<p id="mrs_01_1998__a45b93eff1fc04058acd31f5f525e7389">To enable this function, ensure that statistics of related tables and columns are generated and CBO is enabled.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.72%" headers="mcps1.3.2.4.1.3.2.4.1.3 "><p id="mrs_01_1998__adc1a7e5d65b24052a58e6e641c4ebd02">false</p>
+</td>
+</tr>
+<tr id="mrs_01_1998__r33966ba5f4564dd2be55c3cc54865fc5"><td class="cellrowborder" valign="top" width="36.4%" headers="mcps1.3.2.4.1.3.2.4.1.1 "><p id="mrs_01_1998__a00dfc86e624c4b2fb2080c4c0592014a">spark.sql.cbo.joinReorder.dp.threshold</p>
+</td>
+<td class="cellrowborder" valign="top" width="50.88%" headers="mcps1.3.2.4.1.3.2.4.1.2 "><p id="mrs_01_1998__afe191515553f48f7aee92f1f140e7501">Specifies the threshold of the number of tables that the sequence of consecutive inner joins is automatically adjusted by CBO.</p>
+<p id="mrs_01_1998__a4d17f1b52cb0493c8d9a3ebf538f4199">If the threshold is exceeded, the sequence of joins is not adjusted.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.72%" headers="mcps1.3.2.4.1.3.2.4.1.3 "><p id="mrs_01_1998__a88198061a4294d40869d22f6c8afa377">12</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1985.html">Spark SQL and DataFrame Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_1999.html b/docs/mrs/component-operation-guide/mrs_01_1999.html
new file mode 100644
index 000000000..b2714f08b
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_1999.html
@@ -0,0 +1,78 @@
+<a name="mrs_01_1999"></a><a name="mrs_01_1999"></a>
+
+<h1 class="topictitle1">Optimizing SQL Query of Data of Multiple Sources</h1>
+<div id="body1595920219238"><div class="section" id="mrs_01_1999__s3b34da8437914dbfba759958bf67b545"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_1999__a8647c2d5485d4b56adea5c11d9afa14d">This section describes how to enable or disable the query optimization for inter-source complex SQL.</p>
+</div>
+<div class="section" id="mrs_01_1999__sc9af3f18a8944f8393089526600550c3"><h4 class="sectiontitle">Procedure</h4><ul id="mrs_01_1999__uf271b959dae74bc3a23a5897351f21e8"><li id="mrs_01_1999__l54e876862ec347c8a417d438e01e4dbc">(Optional) Prepare for connecting to the MPPDB data source.<p id="mrs_01_1999__a33b63fd08ee9437cab2be835005bdff9"><a name="mrs_01_1999__l54e876862ec347c8a417d438e01e4dbc"></a><a name="l54e876862ec347c8a417d438e01e4dbc"></a>If the data source to be connected is MPPDB, a class name conflict occurs because the MPPDB Driver file <span class="filepath" id="mrs_01_1999__filepath84968048293650"><b>gsjdbc4.jar</b></span> and the Spark JAR package <span class="filepath" id="mrs_01_1999__filepath55292564593650"><b>gsjdbc4-VXXXRXXXCXXSPCXXX.jar</b></span> contain the same class name. Therefore, before connecting to the MPPDB data source, perform the following steps:</p>
+<ol id="mrs_01_1999__od5f1ba66ed004d86a843a9a5d2bd349e"><li id="mrs_01_1999__l96683a0d853e4b72a1bd39c5c4955481">Move <span class="filepath" id="mrs_01_1999__f0f90fae630e8483298ddcf583942c146"><b>gsjdbc4-VXXXRXXXCXXSPCXXX.jar</b></span> from Spark. Spark running does not depend on this JAR file. Therefore, moving this JAR file to another directory (for example, the <strong id="mrs_01_1999__b1721314717111">/tmp</strong> directory) will not affect Spark running.<ol type="a" id="mrs_01_1999__o0260de1e3d704b76a802620e8c30dad0"><li id="mrs_01_1999__l875b013f2679490cac6515b9b9d6150f">Log in to the Spark server and move <span class="filepath" id="mrs_01_1999__fbcab862e5037466eb646878459e5a8f5"><b>gsjdbc4-VXXXRXXXCXXSPCXXX.jar</b></span> from the <strong id="mrs_01_1999__b88619573493650">${BIGDATA_HOME}/FusionInsight_Spark2x_<span id="mrs_01_1999__text10434120105616">8.1.0.1</span>/install/FusionInsight-Spark2x-<span id="mrs_01_1999__text5563355171417">3.1.1</span>/spark/jars</strong> directory.</li><li id="mrs_01_1999__la940c3e5cfd24365934fcd6f27da7dc0">Log in to the Spark client host and move <span class="filepath" id="mrs_01_1999__f589bf21aaf694a32bedcaa7ed01793e1"><b>gsjdbc4-VXXXRXXXCXXSPCXXX.jar</b></span> from the <strong id="mrs_01_1999__b202664598193650">/opt/client/Spark2x/spark/jars</strong> directory.</li></ol>
+</li><li id="mrs_01_1999__l1470dcea59604849bd6e333a3266882d">Obtain the MPPDB Driver file <span class="filepath" id="mrs_01_1999__f364cec8f76764368952d3316d402a6f9"><b>gsjdbc4.jar</b></span> from the MPPDB installation package and upload the file to the following directories:<div class="note" id="mrs_01_1999__note17589145575918"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1999__p959085585912">Obtain <span class="filepath" id="mrs_01_1999__filepath225916906"><b>gsjdbc4.jar</b></span> from <strong id="mrs_01_1999__b206251061615">FusionInsight_MPPDB\software\components\package\FusionInsight-MPPDB-</strong><em id="mrs_01_1999__i17600175411016">xxx</em><strong id="mrs_01_1999__b0820111617166">\package\Gauss-MPPDB-ALL-PACKAGES\GaussDB-</strong><em id="mrs_01_1999__i166461014119">xxx</em><strong id="mrs_01_1999__b10935103111618">-REDHAT-</strong><em id="mrs_01_1999__i57934211111">xxx</em><strong id="mrs_01_1999__b915873918166">-Jdbc\jdbc</strong>, the directory where the MPPDB installation package is stored.</p>
+</div></div>
+<ul id="mrs_01_1999__u96be9c19a2be40fbadc23d4dd34e6f02"><li id="mrs_01_1999__l05307d5c9aa946f391cd23d27f6f37dc"><strong id="mrs_01_1999__b129818814493650">/${BIGDATA_HOME}/FusionInsight_Spark2x_<span id="mrs_01_1999__text6751302567">8.1.0.1</span>/install/FusionInsight-Spark2x-<span id="mrs_01_1999__text54621546181617">3.1.1</span>/spark/jars</strong> on the Spark server.</li><li id="mrs_01_1999__l9234d6c005b349c9bed3ead6e8041056"><strong id="mrs_01_1999__b124558113410">/opt</strong><strong id="mrs_01_1999__b12457893413"></strong><strong id="mrs_01_1999__b192461810344">/client/Spark2x/spark/jars</strong> on the Spark client.</li></ul>
+</li><li id="mrs_01_1999__l878f9b389dce47aeb02d10cd0ff3f964">Update the <strong id="mrs_01_1999__b185671257893650">/user/spark2x/jars/<span id="mrs_01_1999__text188711438125614">8.1.0.1</span>/spark-archive-2x.zip</strong> package stored in the HDFS.<div class="note" id="mrs_01_1999__note377119319188"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_1999__p137721039181"><span id="mrs_01_1999__text782645293718">The version 8.1.0.1 is used as an example. Replace it with the actual version number.</span></p>
+</div></div>
+<ol type="a" id="mrs_01_1999__oe822cb33265f4c79a5837df7d7a2c6f0"><li id="mrs_01_1999__l218a7b95286c41cc8545c6ca6168eec6">Log in to the node where the client is installed as a client installation user. Run the following command to switch to the client installation directory, for example, <strong id="mrs_01_1999__b108350907293650">/opt/client</strong>:<p class="litext" id="mrs_01_1999__ae41fc07a760a42a98559c2131368c11d"><strong id="mrs_01_1999__ab0fb585918c940bebcd2862499c26076">cd /opt/client</strong></p>
+</li><li id="mrs_01_1999__l547d95320d6847f78b570778b18ccaa8">Run the following command to configure environment variables:<p class="litext" id="mrs_01_1999__a88f84e3012de4d1281f9d1c47e00c38b"><a name="mrs_01_1999__l547d95320d6847f78b570778b18ccaa8"></a><a name="l547d95320d6847f78b570778b18ccaa8"></a><strong id="mrs_01_1999__a55333720b0dd43cc83b1a83080b91131">source bigdata_env</strong></p>
+</li><li id="mrs_01_1999__l3e932a5d19ce4a99a0bfbf2793c04c4d">If the cluster is in security mode, run the following command to get authenticated:<p id="mrs_01_1999__a535310a79f6c4f1f9d06523fbf505d79"><a name="mrs_01_1999__l3e932a5d19ce4a99a0bfbf2793c04c4d"></a><a name="l3e932a5d19ce4a99a0bfbf2793c04c4d"></a><strong id="mrs_01_1999__b90186036993650">kinit</strong> <em id="mrs_01_1999__i42342522593650">Component service user</em></p>
+</li><li id="mrs_01_1999__l6c09f918927449d187269865f4e6fab1">Run the following commands to create the temporary file <strong id="mrs_01_1999__b38654588793650">./tmp</strong>, obtain <strong id="mrs_01_1999__b22557328893650">spark-archive-2x.zip</strong> from HDFS, and decompress it to the <strong id="mrs_01_1999__b8955943893650">tmp</strong> directory:<p id="mrs_01_1999__ac6971af938474ee48ce2fc573b4c93d0"><b><span class="cmdname" id="mrs_01_1999__cmdname3240020134020">mkdir tmp</span></b></p>
+<p id="mrs_01_1999__a627f4dc6eb814dea9f4713578b5dfa72"><b><span class="cmdname" id="mrs_01_1999__cmdname679862994110">hdfs dfs -get</span></b> /user/spark2x/jars/<span id="mrs_01_1999__text16871347165611">8.1.0.1</span>/spark-archive-2x.zip <b><span class="cmdname" id="mrs_01_1999__cmdname0370203714113">./</span></b></p>
+<p id="mrs_01_1999__a74bb3439d6a74dc1b7a9473f66daf317"><b><span class="cmdname" id="mrs_01_1999__cmdname8159204344113">unzip spark-archive-2x.zip -d ./tmp</span></b></p>
+</li><li id="mrs_01_1999__lc86ecd4e025841f89961e2125940d316"><a name="mrs_01_1999__lc86ecd4e025841f89961e2125940d316"></a><a name="lc86ecd4e025841f89961e2125940d316"></a>Switch to the <strong id="mrs_01_1999__b127301950693650">tmp</strong> directory, delete the <strong id="mrs_01_1999__b79280227693650">gsjdbc4-VXXXRXXXCXXSPCXXX.jar</strong> file, upload the MPPDB Driver file <strong id="mrs_01_1999__b172928990493650">gsjdbc4.jar</strong> to the <strong id="mrs_01_1999__b44413959193650">tmp</strong> directory, and run the following command to compress the file again:<p id="mrs_01_1999__a9145014b057945219d5ecfbac8b73dde"><b><span class="cmdname" id="mrs_01_1999__cmdname20895148124117">zip -r spark-archive-2x.zip *.jar</span></b></p>
+</li><li id="mrs_01_1999__l674eea8efb2840148140df76f0686333">Delete <strong id="mrs_01_1999__b5800085893650">spark-archive-2x.zip</strong> from the HDFS and update the <strong id="mrs_01_1999__b90964784993650">spark-archive-2x.zip</strong> package generated in <a href="#mrs_01_1999__lc86ecd4e025841f89961e2125940d316">3.e</a> to the <strong id="mrs_01_1999__b184063678893650">/user/spark2x/jars/<span id="mrs_01_1999__text25850726145748">8.1.0.1</span>/</strong> directory in the HDFS.<p id="mrs_01_1999__a9c3292ab55b042ca8fc07703c07ba865"><b><span class="cmdname" id="mrs_01_1999__cmdname278416541418">hdfs dfs -rm</span></b> /user/spark2x/jars/<span id="mrs_01_1999__text830203165712">8.1.0.1</span>/spark-archive-2x.zip</p>
+<p id="mrs_01_1999__afb239f4ba4d3421eb939d53b31c6882e"><b><span class="cmdname" id="mrs_01_1999__cmdname194661959114114">hdfs dfs -put</span></b> ./spark-archive-2x.zip /user/spark2x/jars/<span id="mrs_01_1999__text1563931165714">8.1.0.1</span></p>
+</li></ol>
+</li><li id="mrs_01_1999__l32bb4bfb52e0477295662d9dc43a2648">Restart the Spark service. After the Spark service is restarted, restart the Spark client.</li></ol>
+</li></ul>
+<ul id="mrs_01_1999__u3176297f411a4950a3cf75f20a6a6a5f"><li id="mrs_01_1999__l212ee87e232440bbb52e4507e6729f91">Enable the optimization function.<p id="mrs_01_1999__a1e25e5f44bd746c38e006684b8e7f977"><a name="mrs_01_1999__l212ee87e232440bbb52e4507e6729f91"></a><a name="l212ee87e232440bbb52e4507e6729f91"></a>For all modules that support query pushdown, you can run the <strong id="mrs_01_1999__b16625341593650">SET</strong> command on the <strong id="mrs_01_1999__b123093016593650">spark-beeline</strong> client to enable the cross-source query optimization function. By default, the function is disabled.</p>
+<p id="mrs_01_1999__adb3833cb4e094d51aa1c1fbd1e69a046">Pushdown configurations can be performed in dimensions of global, data sources, and tables. Commands are as follows:</p>
+<ul id="mrs_01_1999__ueb5021eeacb04e2281bb25a5445858d0"><li id="mrs_01_1999__le8caa3540f8a4929a6902a28353a6706">Global (valid for all data sources):<p id="mrs_01_1999__a8a040701e9934dc49084133dde1564ec"><a name="mrs_01_1999__le8caa3540f8a4929a6902a28353a6706"></a><a name="le8caa3540f8a4929a6902a28353a6706"></a><b><span class="cmdname" id="mrs_01_1999__cmdname59541569426">SET spark.sql.datasource.jdbc = project,aggregate,orderby-limit</span></b></p>
+</li><li id="mrs_01_1999__l0a0beaedcd2649dfbcea82dea67c68f6">Data sources:<p id="mrs_01_1999__adf2ca1b2f9a64a759b70d3809643a2ec"><a name="mrs_01_1999__l0a0beaedcd2649dfbcea82dea67c68f6"></a><a name="l0a0beaedcd2649dfbcea82dea67c68f6"></a><b><span class="cmdname" id="mrs_01_1999__cmdname1870619115425">SET spark.sql.datasource.${url} = project,aggregate,orderby-limit</span></b></p>
+</li><li id="mrs_01_1999__lda98158e90ce47949de1f647d78dc67c">Tables:<p id="mrs_01_1999__aed534409ad294d48ae1f146985f31d60"><a name="mrs_01_1999__lda98158e90ce47949de1f647d78dc67c"></a><a name="lda98158e90ce47949de1f647d78dc67c"></a><b><span class="cmdname" id="mrs_01_1999__cmdname35461161427">SET spark.sql.datasource.${url}.${table} = project,aggregate,orderby-limit</span></b></p>
+</li></ul>
+<p id="mrs_01_1999__aaaf1559a949e47da9a2482a90b21b0ac">When you run the <strong id="mrs_01_1999__b39006887593650">SET</strong> command to configure preceding parameters, you are allowed to specify multiple pushdown modules and separate them by commas. The following table lists parameters of corresponding pushdown modules.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_1999__td3ea289f70034d62b484044590a8e6af" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters of modules</caption><thead align="left"><tr id="mrs_01_1999__rb91586d16fbf4ff69e3e636630fec8a1"><th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.2.3.1.5.2.3.1.1"><p id="mrs_01_1999__a6f02923d1e4d4c118a891ccb879d04a6">Module</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.2.3.1.5.2.3.1.2"><p id="mrs_01_1999__a577cd71042084e50b0244fed2e24f4b7">Parameter Value in the SET Command</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_1999__r144b9bb22b6c4b16ab9ad6dc5645caf1"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.2.3.1.5.2.3.1.1 "><p id="mrs_01_1999__aa86485feffac436f9abbb9609735c60c">project</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.2.3.1.5.2.3.1.2 "><p id="mrs_01_1999__af89fc9cff9ea435482a84c7272b69990">project</p>
+</td>
+</tr>
+<tr id="mrs_01_1999__r46ef3b8fdf704aaeb90c12558d0ecc2f"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.2.3.1.5.2.3.1.1 "><p id="mrs_01_1999__a04bd55af6e5541279f5b1aba4d01ffea">aggregate</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.2.3.1.5.2.3.1.2 "><p id="mrs_01_1999__abf78fd69cfdb4cbfb821455616cf3933">aggregate</p>
+</td>
+</tr>
+<tr id="mrs_01_1999__r9377b0fce013400b97edff76c7972163"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.2.3.1.5.2.3.1.1 "><p id="mrs_01_1999__aa04d4e437d164ee39cb6664ed62e73f8">order by, limit over project or aggregate</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.2.3.1.5.2.3.1.2 "><p id="mrs_01_1999__a6a8a25e0203f4e02a3ba20daf6fd60ba">orderby-limit</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_1999__a5eb8ba86999b4567bc196ce918e18180">The following is a statement for creating an external table of MySQL:</p>
+<p id="mrs_01_1999__a99847fde0d214228bac49f669b4b1dfd"><b><span class="cmdname" id="mrs_01_1999__cmdname569932313422">create table if not exists pdmysql using org.apache.spark.sql.jdbc options(driver "com.mysql.jdbc.Driver", url "jdbc:mysql://ip2:3306/test", user "hive", password "<span id="mrs_01_1999__text234311514396"><em id="mrs_01_1999__i10120152143915">xxx</em></span>", dbtable "mysqldata");</span></b></p>
+<p id="mrs_01_1999__a82fcfa66af1048e58bd1ad41b5f2df00">In the preceding statement:</p>
+<ul id="mrs_01_1999__u75b41512c20d4d5aac7282aee4dca70d"><li id="mrs_01_1999__l26e826256fda4c70a538c6ef0f62c1a6">${url} = jdbc:mysql://ip2:3306/test</li><li id="mrs_01_1999__lc5a7a93e63b74d6a97fe2a1081dd1ac7">${table} = mysqldata</li></ul>
+<div class="note" id="mrs_01_1999__n7d14e6aba9eb41779fe297ebe03568a8"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_1999__u1aa0ebb6b0bc4807b8245c1bc4acb807"><li id="mrs_01_1999__l99d1b9dc8f6a4538a0a112c7358d028e">On the right of the equal sign (=) is the operators (separated by commas) to be enabled by pushdown.</li><li id="mrs_01_1999__lb7853dd2db4c44d0b692415415df166a">Priority: table &gt; data source &gt; global. If the table switch is set, the global switch of the data source is invalid for the table. If a data source switch is set, the global switch is invalid for the data source.</li><li id="mrs_01_1999__l988045bd12c84aeea35078d2bc7290e4">The equal sign (=) is not allowed in URL. Equal signs (=) are automatically deleted in the SET clause.</li><li id="mrs_01_1999__l01d1f237f307455dac07dd5d70ae510c">After multiple SET operations, results with different keys will not overwrite each other.</li></ul>
+</div></div>
+</li><li id="mrs_01_1999__l4a971896bcce4b2a8c43d73f469b1111">Add functions that support query pushdown.<p id="mrs_01_1999__a9eda48283a3d4288a343a7c3b1143712"><a name="mrs_01_1999__l4a971896bcce4b2a8c43d73f469b1111"></a><a name="l4a971896bcce4b2a8c43d73f469b1111"></a>In addition to query pushdown of mathematical, time, and string functions such as abs(), month(), and length(), you can run the <strong id="mrs_01_1999__b123993021493650">SET</strong> command to add a data source that supports query pushdown. Run the following command on the Spark-beeline client:</p>
+<p id="mrs_01_1999__a1bee084d7f104bfe83d69ffe4b5aa98b"><b><span class="cmdname" id="mrs_01_1999__cmdname794922715424">SET spark.sql.datasource.${datasource}.functions = fun1,fun2</span></b></p>
+</li><li id="mrs_01_1999__lfc0f4d41f10a4e5689bc626241cdf803">Reset the configuration set by the <strong id="mrs_01_1999__b7261925693650">SET</strong> command.<p id="mrs_01_1999__acb2a5b5d0e0f4e049f7d1ea18021fe6e">Currently, you can only run the <strong id="mrs_01_1999__b200127127193650">RESET</strong> command on the <strong id="mrs_01_1999__b126499891893650">spark-beeline</strong> client to cancel all <strong id="mrs_01_1999__b196250651693650">SET</strong> content. After running the <strong id="mrs_01_1999__b52929971993650">RESET</strong> command, all values in the <strong id="mrs_01_1999__b66784708593650">SET</strong> command will be cleared. Exercise caution when performing this operation.</p>
+<p id="mrs_01_1999__a6955a385ed61444d9fa6d7fd0617ad91">The <strong id="mrs_01_1999__b156343608993650">SET</strong> command is valid in the current session on the client. After the client is shut down, the content in the <strong id="mrs_01_1999__b198743402493650">SET</strong> command turns invalid.</p>
+<p id="mrs_01_1999__lfc0f4d41f10a4e5689bc626241cdf803p1">Alternatively, change the value of <strong id="mrs_01_1999__b115300128893650">spark.sql.locale.support</strong> in the <strong id="mrs_01_1999__b186737875393650">spark-defaults.conf</strong> file to <strong id="mrs_01_1999__b63696920093650">true</strong>.</p>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_1999__s65834aceacaa41c1b64d11515e04a9e7"><h4 class="sectiontitle">Precautions</h4><p id="mrs_01_1999__p96231951198">Only MySQL, MPPDB, Hive, oracle, and PostgreSQL data sources are supported.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1985.html">Spark SQL and DataFrame Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2000.html b/docs/mrs/component-operation-guide/mrs_01_2000.html
new file mode 100644
index 000000000..f1a34864d
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2000.html
@@ -0,0 +1,111 @@
+<a name="mrs_01_2000"></a><a name="mrs_01_2000"></a>
+
+<h1 class="topictitle1">SQL Optimization for Multi-level Nesting and Hybrid Join</h1>
+<div id="body1595920219239"><div class="section" id="mrs_01_2000__s201c1a02f75b4a58b028d211ec2f245b"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_2000__a86f0f70172914caea5fbe89720bb14ca">This section describes the optimization suggestions for SQL statements in multi-level nesting and hybrid join scenarios.</p>
+</div>
+<div class="section" id="mrs_01_2000__s7f1275efcd2c492f8345df7761b66d3f"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_2000__aec5668c59419427f9542c7cf285b7619">The following provides an example of complex query statements:</p>
+<pre class="screen" id="mrs_01_2000__sc93031d1706f45fd8f27097a60389341">elect
+s_name,
+count(1) as numwait
+from (
+select s_name from (
+select
+s_name,
+t2.l_orderkey,
+l_suppkey,
+count_suppkey,
+max_suppkey
+from
+test2 t2 right outer join (
+select
+s_name,
+l_orderkey,
+l_suppkey from (
+select
+s_name,
+t1.l_orderkey,
+l_suppkey,
+count_suppkey,
+max_suppkey
+from
+test1 t1 join (
+select
+s_name,
+l_orderkey,
+l_suppkey
+from
+orders o join (
+select
+s_name,
+l_orderkey,
+l_suppkey
+from
+nation n join supplier s
+on
+s.s_nationkey = n.n_nationkey
+and n.n_name = 'SAUDI ARABIA'
+join lineitem l
+on
+s.s_suppkey = l.l_suppkey
+where
+l.l_receiptdate &gt; l.l_commitdate
+and l.l_orderkey is not null
+) l1 on o.o_orderkey = l1.l_orderkey and o.o_orderstatus = 'F'
+) l2 on l2.l_orderkey = t1.l_orderkey
+) a
+where
+(count_suppkey &gt; 1)
+or ((count_suppkey=1)
+and (l_suppkey &lt;&gt; max_suppkey))
+) l3 on l3.l_orderkey = t2.l_orderkey
+) b
+where
+(count_suppkey is null)
+or ((count_suppkey=1)
+and (l_suppkey = max_suppkey))
+) c
+group by
+s_name
+order by
+numwait desc,
+s_name 
+limit 100;</pre>
+</div>
+<div class="section" id="mrs_01_2000__s9f019f7314af4ebcbb937fb59623050f"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_2000__o8a3a607ec5e04997a97403a942c6ee68"><li id="mrs_01_2000__laf109f64057d456ea76c0b28e5d8c5f1"><span>Analyze business.</span><p><p id="mrs_01_2000__aa2fd89024dd14b8ebb1b527ccf33034a">Analyze business to determine whether SQL statements can be simplified through measures, for example, by combining tables to reduce the number of nesting levels and join times.</p>
+</p></li><li id="mrs_01_2000__l24fe6a426a7f45dbbf4e2ef4ca3b1eda"><span>If the SQL statements cannot be simplified, configure the driver memory.</span><p><ul id="mrs_01_2000__u8084ba2344f84aa58ad286db2189973f"><li id="mrs_01_2000__l59fc9ef852c84f4bafb17eadb61b89f8">If SQL statements are executed through spark-submit or spark-sql, go to <a href="#mrs_01_2000__l808aae986fc948d6903dc2cc981034dd">3</a>.</li><li id="mrs_01_2000__l82c71aeba0464a16b4b1c375116ed139">If SQL statements are executed through spark-beeline, go to <a href="#mrs_01_2000__l156d16075fcf45fdb9aaea523ea81729">4</a>.</li></ul>
+</p></li><li id="mrs_01_2000__l808aae986fc948d6903dc2cc981034dd"><a name="mrs_01_2000__l808aae986fc948d6903dc2cc981034dd"></a><a name="l808aae986fc948d6903dc2cc981034dd"></a><span>During execution of SQL statements, specify the <strong id="mrs_01_2000__a9d4af25026374733aca8cde424da2e1d">driver-memory</strong> parameter. An example of SQL statements is as follows:</span><p><p id="mrs_01_2000__a29dc94932ac9466bafd15b5eeabf8f36"><strong id="mrs_01_2000__af5975b82b6fb42ec850983e772b9fd01">/spark-sql --master=local[4] --driver-memory=512M -f /tpch.sql</strong></p>
+</p></li><li id="mrs_01_2000__l156d16075fcf45fdb9aaea523ea81729"><a name="mrs_01_2000__l156d16075fcf45fdb9aaea523ea81729"></a><a name="l156d16075fcf45fdb9aaea523ea81729"></a><span>Before running SQL statements, change the memory size as the <span id="mrs_01_2000__ph46491861246">system </span>administrator.</span><p><ol type="a" id="mrs_01_2000__od28bebef18a4424793f05f196d9e111a"><li id="mrs_01_2000__ld1a8e5e18b64401aa3babf90ceaec296">Log in to FusionInsight Manager and choose <strong id="mrs_01_2000__b12293512913">Cluster &gt; </strong><em id="mrs_01_2000__i132319512919">Name of the desired cluster</em><strong id="mrs_01_2000__b2229135091"> &gt; Service<span id="mrs_01_2000__ph15149528134019">s</span> </strong>&gt; <strong id="mrs_01_2000__a6bda9b42e87d47b8ba33b7bcf8d7f67a">Spark2x </strong>&gt;<strong id="mrs_01_2000__a2de281bd0b564000af0ee3a02fb2e53b"> Configuration<span id="mrs_01_2000__ph13721183164010">s</span></strong>.</li><li id="mrs_01_2000__ldf78b9a543704fd58fdde9068231b054">On the displayed page, click <strong id="mrs_01_2000__b1018995413527">All Configurations</strong> and search for <strong id="mrs_01_2000__a620cf81477774280bc46d229917d9bb1">SPARK_DRIVER_MEMORY</strong>.</li><li id="mrs_01_2000__l8160516a56e14f36a391fb6aedc590e3">Modify the <strong id="mrs_01_2000__ad2c0bee85f524f3f9e21956196f61c6b">SPARK_DRIVER_MEMORY</strong> parameter value to increase the memory size. The parameter value consists of two parts: memory size (an integer) and the unit (M or G), for example, <strong id="mrs_01_2000__aebbb87aa1aab4482963bb9481bd58e54">512M</strong>.</li></ol>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_2000__s59d6c99a99b24e27b0fd8e04cb07796e"><h4 class="sectiontitle">Reference</h4><p id="mrs_01_2000__aa14f9e85681d43e39ada793c2c43016f">In the event of insufficient driver memory, the following error may be displayed during the query:</p>
+<pre class="screen" id="mrs_01_2000__s6e9732da79a54885aeb79eaa445b9877">2018-02-11 09:13:14,683 | WARN  | Executor task launch worker for task 5 | Calling spill() on RowBasedKeyValueBatch. Will not spill but return 0. | org.apache.spark.sql.catalyst.expressions.RowBasedKeyValueBatch.spill(RowBasedKeyValueBatch.java:173)
+2018-02-11 09:13:14,682 | WARN  | Executor task launch worker for task 3 | Calling spill() on RowBasedKeyValueBatch. Will not spill but return 0. | org.apache.spark.sql.catalyst.expressions.RowBasedKeyValueBatch.spill(RowBasedKeyValueBatch.java:173)
+2018-02-11 09:13:14,704 | ERROR | Executor task launch worker for task 2 | Exception in task 2.0 in stage 1.0 (TID 2) | org.apache.spark.internal.Logging$class.logError(Logging.scala:91)
+java.lang.OutOfMemoryError: Unable to acquire 262144 bytes of memory, got 0
+        at org.apache.spark.memory.MemoryConsumer.allocateArray(MemoryConsumer.java:100)
+        at org.apache.spark.unsafe.map.BytesToBytesMap.allocate(BytesToBytesMap.java:791)
+        at org.apache.spark.unsafe.map.BytesToBytesMap.&lt;init&gt;(BytesToBytesMap.java:208)
+        at org.apache.spark.unsafe.map.BytesToBytesMap.&lt;init&gt;(BytesToBytesMap.java:223)
+        at org.apache.spark.sql.execution.UnsafeFixedWidthAggregationMap.&lt;init&gt;(UnsafeFixedWidthAggregationMap.java:104)
+        at org.apache.spark.sql.execution.aggregate.HashAggregateExec.createHashMap(HashAggregateExec.scala:307)
+        at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithKeys$(Unknown Source)
+        at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
+        at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
+        at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:381)
+        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
+        at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:126)
+        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
+        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
+        at org.apache.spark.scheduler.Task.run(Task.scala:99)
+        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:325)
+        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
+        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
+        at java.lang.Thread.run(Thread.java:748)</pre>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1985.html">Spark SQL and DataFrame Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2001.html b/docs/mrs/component-operation-guide/mrs_01_2001.html
new file mode 100644
index 000000000..0843f3a03
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2001.html
@@ -0,0 +1,35 @@
+<a name="mrs_01_2001"></a><a name="mrs_01_2001"></a>
+
+<h1 class="topictitle1">Spark Streaming Tuning</h1>
+<div id="body1595920219241"><div class="section" id="mrs_01_2001__s57a4326aa7f54e5b99c717f9acc62838"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_2001__a603a88a878c349629200bada11978c5b">Streaming is a mini-batch streaming processing framework that features second-level delay and high throughput. To optimize Streaming is to improve its throughput while maintaining second-level delay so that more data can be processed per unit time.</p>
+<div class="note" id="mrs_01_2001__n7be7c1a219f348429548cc65bb555231"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2001__ad30ac0e223fe4a8f998a327a2c6b3224">This section applies to the scenario where the input data source is Kafka.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_2001__s94c3ee6558af4933b18bd82b6ad25b40"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_2001__af72b0c00aef443b1946b125654253781">A simple streaming processing system consists of a data source, a receiver, and a processor. The data source is Kafka, the receiver is the Kafka data source receiver of Streaming, and the processor is Streaming.</p>
+<p id="mrs_01_2001__a1ca83dcdd5a246598e7d9b034b5e4ce1">Streaming optimization is to optimize the performance of the three components.</p>
+<ul id="mrs_01_2001__ua3457d70c5394bd0b42dd96f1eaf01a8"><li id="mrs_01_2001__lec073b37150544ada465fa2440c4588a"><strong id="mrs_01_2001__b1641075095513">Data source optimization</strong><p id="mrs_01_2001__ab8263009e6d14fb097730d531ae5d2df">In actual application scenarios, the data source stores the data in the local disks to ensure the error tolerance of the data. However, the calculation results of the Streaming are stored in the memory, and the data source may become the largest bottleneck of the streaming system.</p>
+<p id="mrs_01_2001__a66e982561ef44489a315a0bafa17d81b">Kafka can be optimized from the following aspects:</p>
+<ul id="mrs_01_2001__uca3ff8c4552e4bdfa6b5ff2f11cdd532"><li id="mrs_01_2001__lfb806757ece249f1ba29f1913ad7ef62">Use Kafka-0.8.2 or later version that allows you to use new Producer APIs in asynchronous mode.</li><li id="mrs_01_2001__l0e8f65a42d0f4126ae1697306cb72cb8">Configure multiple Broker directories, multiple I/O threads, and a proper number of partitions for a topic.</li></ul>
+<p id="mrs_01_2001__af7f4f3e2dbed410b87334998ec1a1387">For details, see section <strong id="mrs_01_2001__b10975161013564">Performance Tuning</strong> in the Kafka open source documentation at <a href="http://kafka.apache.org/documentation.html" target="_blank" rel="noopener noreferrer">http://kafka.apache.org/documentation.html</a>.</p>
+</li><li id="mrs_01_2001__li1881842762212"><strong id="mrs_01_2001__b1576718190563">Receiver optimization</strong><p id="mrs_01_2001__aabc4388e926c483f829e2d59de4f26d8">Streaming has multiple data source receivers, such as Kafka, Flume, MQTT, and ZeroMQ. Kafka has the most receiver types and is the most mature receiver.</p>
+<p id="mrs_01_2001__a084d0794d7e1454794f23ab0147bfdbe">Kafka provides three types of receiver APIs:</p>
+<ul id="mrs_01_2001__u4a894b9cbda04a7eadf5af41cc15a463"><li id="mrs_01_2001__lcb1f9711f5144feabf868084fabf7cdc">KafkaReceiver directly receives Kafka data. If the process is abnormal, data may be lost.</li><li id="mrs_01_2001__l8b19c6845ddc467abd0a045d126cd6b1">ReliableKafkaReceiver receives data displacement through ZooKeeper records.</li><li id="mrs_01_2001__l7196edebb0dd46c38b8861d0d47f29e3">DirectKafka reads data from each partition of Kafka through the RDD, ensuring high reliability.</li></ul>
+<p id="mrs_01_2001__a2ac837b54e7f4299b5c3127119e110b9">According to the implementation mechanism and test results, DirectKafka provides better performance than the other two APIs. Therefore, the DirectKafka API is recommended to implement the receiver.</p>
+<p id="mrs_01_2001__ad02cc7a90ba048f0afc026d6bdd8dc34">For details about the Kafka receivers and their optimization methods, see the Kafka open source documentation at <a href="http://kafka.apache.org/documentation.html" target="_blank" rel="noopener noreferrer">http://kafka.apache.org/documentation.html</a>.</p>
+</li><li id="mrs_01_2001__li2469104310226"><strong id="mrs_01_2001__b11553546568">Processor optimization</strong><p id="mrs_01_2001__a3c310a3a2aea4c53ab6fe8ae0ae1f620">The bottom layer of Spark Streaming is executed by Spark. Therefore, most optimization measures for Spark can also be applied to Spark Streaming. The following is an example:</p>
+<ul id="mrs_01_2001__u861ce87bd6d04f89af85273d4198ed19"><li id="mrs_01_2001__ldc3e61769d8047308c4b8dcaa36303ed">Data serialization</li><li id="mrs_01_2001__l5e475d5dd1d149e6a7a3afbc239bfe10">Memory configuration</li><li id="mrs_01_2001__l927c1f69ebd14ee69a0e940d7406eb97">Configuring DOP</li><li id="mrs_01_2001__l3de833930cce479c8d1ea5c5bd07881a">Using the external shuffle service to improve performance</li></ul>
+<div class="note" id="mrs_01_2001__n0757f321eb764bfdb21bc53e43a52329"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2001__ac5734d2237234786a2832a0522dd88c1">Higher performance of Spark Streaming indicates lower overall reliability. Examples:</p>
+<p id="mrs_01_2001__a105b7b37cd834f1fa960f6bae06c86a5">If <span class="parmname" id="mrs_01_2001__p3e8a185fc98348f6ab275bd1c30094c1"><b>spark.streaming.receiver.writeAheadLog.enable</b></span> is set to <span class="parmvalue" id="mrs_01_2001__p9285cbc7a7ff4943a1c9b06622d3f311"><b>false</b></span>, disk I/Os are reduced and performance is improved. However, because WAL is disabled, data is lost during fault recovery.</p>
+<p id="mrs_01_2001__a2aa4e376693c4d03a739b6680477f392">Therefore, do not disable configuration items that ensure data reliability in production environments during Spark Streaming tuning.</p>
+</div></div>
+</li><li id="mrs_01_2001__li8135712233"><strong id="mrs_01_2001__b1333685411310">Log archive optimization</strong><p id="mrs_01_2001__ad6da9d90c1494c488a8772cefdca0a55">The <span class="parmname" id="mrs_01_2001__p464467f58fd2406a8f8b784bff7e5109"><b>spark.eventLog.group.size</b></span> parameter is used to group <strong id="mrs_01_2001__b4353175810312">JobHistory</strong> logs of an application based on the specified number of jobs. Each group creates a file recording log to prevent <strong id="mrs_01_2001__b163535585319">JobHistory</strong> reading failures caused by an oversized log generated during the long-term running of the application. If this parameter is set to <span class="parmvalue" id="mrs_01_2001__p02d04a30d7154fce9f0e0df35862b9ba"><b>0</b></span>, logs are not grouped.</p>
+<p id="mrs_01_2001__a64db11554001461cbae26011c1034622">Most Spark Streaming jobs are small jobs and are generated at a high speed. As a result, frequent grouping is performed and a large number of small log files are generated, consuming disk I/O resources. You are advised to increase the parameter value to, for example, <span class="parmvalue" id="mrs_01_2001__peb958f78057d40b79832b06220256a35"><b>1000</b></span> or greater.</p>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1974.html">Spark2x Performance Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2002.html b/docs/mrs/component-operation-guide/mrs_01_2002.html
new file mode 100644
index 000000000..2f87803d9
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2002.html
@@ -0,0 +1,44 @@
+<a name="mrs_01_2002"></a><a name="mrs_01_2002"></a>
+
+<h1 class="topictitle1">Common Issues About Spark2x</h1>
+<div id="body1595920219241"><p id="mrs_01_2002__p8060118"></p>
+</div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_2003.html">Spark Core</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2022.html">Spark SQL and DataFrame</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2048.html">Spark Streaming</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2055.html">Why the Job Information Obtained from the restful Interface of an Ended Spark Application Is Incorrect?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2056.html">Why Cannot I Switch from the Yarn Web UI to the Spark Web UI?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2057.html">What Can I Do If an Error Occurs when I Access the Application Page Because the Application Cached by HistoryServer Is Recycled?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2058.html">Why Is not an Application Displayed When I Run the Application with the Empty Part File?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2059.html">Why Does Spark2x Fail to Export a Table with the Same Field Name?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2060.html">Why JRE fatal error after running Spark application multiple times?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2061.html">"This page can't be displayed" Is Displayed When Internet Explorer Fails to Access the Native Spark2x UI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2062.html">How Does Spark2x Access External Cluster Components?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2063.html">Why Does the Foreign Table Query Fail When Multiple Foreign Tables Are Created in the Same Directory?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2064.html">What Should I Do If the Native Page of an Application of Spark2x JobHistory Fails to Display During Access to the Page</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2340.html">Why Do I Fail to Create a Table in the Specified Location on OBS After Logging to spark-beeline?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24176.html">Spark Shuffle Exception Handling</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1926.html">Using Spark2x</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2003.html b/docs/mrs/component-operation-guide/mrs_01_2003.html
new file mode 100644
index 000000000..6d80224e6
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2003.html
@@ -0,0 +1,51 @@
+<a name="mrs_01_2003"></a><a name="mrs_01_2003"></a>
+
+
+  <h1 class="topictitle1">Spark Core</h1>
+
+  <div id="body1595920219242"><p id="mrs_01_2003__ab8871761f10b41e5a179c4c65397b05a"></p>
+</div>
+
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_2004.html">How Do I View Aggregated Spark Application Logs?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2005.html">Why Is the Return Code of Driver Inconsistent with Application State Displayed on ResourceManager WebUI?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2006.html">Why Cannot Exit the Driver Process?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2007.html">Why Does FetchFailedException Occur When the Network Connection Is Timed out</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2008.html">How to Configure Event Queue Size If Event Queue Overflows?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2009.html">What Can I Do If the getApplicationReport Exception Is Recorded in Logs During Spark Application Execution and the Application Does Not Exit for a Long Time?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2010.html">What Can I Do If "Connection to ip:port has been quiet for xxx ms while there are outstanding requests" Is Reported When Spark Executes an Application and the Application Ends?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2011.html">Why Do Executors Fail to be Removed After the NodeManeger Is Shut Down?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2012.html">What Can I Do If the Message "Password cannot be null if SASL is enabled" Is Displayed?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2013.html">What Should I Do If the Message "Failed to CREATE_FILE" Is Displayed in the Restarted Tasks When Data Is Inserted Into the Dynamic Partition Table?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2014.html">Why Tasks Fail When Hash Shuffle Is Used?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2015.html">What Can I Do If the Error Message "DNS query failed" Is Displayed When I Access the Aggregated Logs Page of Spark Applications?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2016.html">What Can I Do If Shuffle Fetch Fails Due to the "Timeout Waiting for Task" Exception?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2017.html">Why Does the Stage Retry due to the Crash of the Executor?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2018.html">Why Do the Executors Fail to Register Shuffle Services During the Shuffle of a Large Amount of Data?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2019.html">Why Does the Out of Memory Error Occur in NodeManager During the Execution of Spark Applications</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2021.html">Why Does the Realm Information Fail to Be Obtained When SparkBench is Run on HiBench for the Cluster in Security Mode?</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2002.html">Common Issues About Spark2x</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2004.html b/docs/mrs/component-operation-guide/mrs_01_2004.html
new file mode 100644
index 000000000..50aa75a67
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2004.html
@@ -0,0 +1,14 @@
+<a name="mrs_01_2004"></a><a name="mrs_01_2004"></a>
+
+<h1 class="topictitle1">How Do I View Aggregated Spark Application Logs?</h1>
+<div id="body1595920219244"><div class="section" id="mrs_01_2004__s9a9951888d674a96a9d0d5198eb4cc90"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2004__ad9cdfaef7a5f4677bde8b896b7f1d975">How do I view the aggregated container logs on the page when the log aggregation function is enabled on YARN?</p>
+</div>
+<div class="section" id="mrs_01_2004__sfb361423513c46599fd91af34c934008"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2004__a43f19233183d45f5bdcc31fef1b7b59a">For details, see <a href="mrs_01_1949.html">Viewing Aggregated Container Logs on the Web UI</a>.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2003.html">Spark Core</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2005.html b/docs/mrs/component-operation-guide/mrs_01_2005.html
new file mode 100644
index 000000000..c12a3af08
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2005.html
@@ -0,0 +1,17 @@
+<a name="mrs_01_2005"></a><a name="mrs_01_2005"></a>
+
+<h1 class="topictitle1">Why Is the Return Code of Driver Inconsistent with Application State Displayed on ResourceManager WebUI?</h1>
+<div id="body1595920219245"><div class="section" id="mrs_01_2005__sf7566de4b9454e92882c69f8894c5b07"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2005__a3ce1288ff75e4797a9db2d7524764fea">Communication between ApplicationMaster and ResourceManager remains abnormal for a long time. Why is the driver return code inconsistent with application status on ResourceManager WebUI?</p>
+</div>
+<div class="section" id="mrs_01_2005__sa9a5645f4c34450683a780a4044f3773"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2005__a4ae4ee1aabc143a3a9265697b639230c">In yarn-client mode, Spark Driver and ApplicationMaster run as two independent processes. When Driver exits, it notifies ApplicationMaster to call the unregister API to deregister itself with ResourceManager.</p>
+<p id="mrs_01_2005__a5d7dd922491945819ba43860454ee8ba">This is a remote call and susceptible to network faults. If there exists a network fault, ApplicationMaster uses the retry mechanism of the Yarn client to try again. If the network is recovered before the maximum number of retries is reached, ApplicationMaster exits gracefully.</p>
+<p id="mrs_01_2005__a9c4bc6ec9d754e3fbeb7556635b67a17">If the number and duration of retries are reached, ApplicationMaster fails to deregister itself, and ResourceManager declares ApplicationMaster to have exited forcibly and tries to restart ApplicationMaster. After the restart, if ApplicationMaster fails to connect to the exited Driver, ResourceManager flags the Application being failed.</p>
+</div>
+<p id="mrs_01_2005__a2f068e7924c54891a92d27f96eeac12d">This problem rarely occurs and it does not impact the display of application states by SparkSQL. You can also increase the number of Yarn client connections and the connection duration to reduce the probability of this event. For details about the configuration, see <a href="http://hadoop.apache.org/docs/r3.1.1/hadoop-yarn/hadoop-yarn-common/yarn-default.xml" target="_blank" rel="noopener noreferrer">http://hadoop.apache.org/docs/r3.1.1/hadoop-yarn/hadoop-yarn-common/yarn-default.xml</a>.</p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2003.html">Spark Core</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2006.html b/docs/mrs/component-operation-guide/mrs_01_2006.html
new file mode 100644
index 000000000..55b86d556
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2006.html
@@ -0,0 +1,14 @@
+<a name="mrs_01_2006"></a><a name="mrs_01_2006"></a>
+
+<h1 class="topictitle1">Why Cannot Exit the Driver Process?</h1>
+<div id="body1595920219443"><div class="section" id="mrs_01_2006__s5f17e25af107456baf9e0c9db6162415"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2006__acada1fb0f82c418f87715878af308296">Why cannot exit the Driver process after running the <b><span class="cmdname" id="mrs_01_2006__cmdname188734207300">yarn application -kill applicationID</span></b> command to stop the Spark Streaming application?</p>
+</div>
+<div class="section" id="mrs_01_2006__sa47108ab544f481694a6df1efcad87db"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2006__a18a2d9b2a8634cdcb55b7bae8fa54b53">Running the <b><span class="cmdname" id="mrs_01_2006__cmdname8420182403016">yarn application -kill applicationID</span></b> command can only stop the SparkContext corresponding to Spark Streaming application, but cannot exit the current Driver process. If there are other permanent threads in the Driver process (for example, the spark shell is continually checking command input or Spark Streaming is continually reading data form data source), the Driver process will not be killed when the SparkContext is stopped. To exit the Driver process, you are advised to run the <b><span class="cmdname" id="mrs_01_2006__cmdname288142733015">kill -9 pid</span></b><strong id="mrs_01_2006__a8c1005d2d7cf40dfa7f769d59fd13426"> </strong>command to kill the current Driver process by hand.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2003.html">Spark Core</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2007.html b/docs/mrs/component-operation-guide/mrs_01_2007.html
new file mode 100644
index 000000000..56f201a95
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2007.html
@@ -0,0 +1,70 @@
+<a name="mrs_01_2007"></a><a name="mrs_01_2007"></a>
+
+<h1 class="topictitle1">Why Does FetchFailedException Occur When the Network Connection Is Timed out</h1>
+<div id="body1595920219445"><div class="section" id="mrs_01_2007__s01a93fe2ff4342e987900cb61fa33fbd"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2007__aa530a08ffe424d5b92927c698ac51232">On a large cluster of 380 nodes, run the ScalaSort test case in the HiBench test that runs the 29T data, and configure Executor as <span class="parmname" id="mrs_01_2007__pd791bb85f11b41fc86aa058cbcfac9e2"><b>--executor-cores 4</b></span>. The following abnormality is displayed:</p>
+<pre class="screen" id="mrs_01_2007__s5cfeec3660b04fb6b6be016b27e2bde5">org.apache.spark.shuffle.FetchFailedException: Failed to connect to /192.168.114.12:23242
+    at org.apache.spark.storage.ShuffleBlockFetcherIterator.throwFetchFailedException(ShuffleBlockFetcherIterator.scala:321)
+    at org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:306)
+    at org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:51)
+    at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
+    at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
+    at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
+    at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:32)
+    at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
+    at org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:217)
+    at org.apache.spark.shuffle.hash.HashShuffleReader.read(HashShuffleReader.scala:102)
+    at org.apache.spark.rdd.ShuffledRDD.compute(ShuffledRDD.scala:90)
+    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:301)
+    at org.apache.spark.rdd.RDD.iterator(RDD.scala:265)
+    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
+    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:301)
+    at org.apache.spark.rdd.RDD.iterator(RDD.scala:265)
+    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
+    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:301)
+    at org.apache.spark.rdd.RDD.iterator(RDD.scala:265)
+    at org.apache.spark.rdd.UnionRDD.compute(UnionRDD.scala:87)
+    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:301)
+    at org.apache.spark.rdd.RDD.iterator(RDD.scala:265)
+    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
+    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
+    at org.apache.spark.scheduler.Task.run(Task.scala:87)
+    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
+    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
+    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
+    at java.lang.Thread.run(Thread.java:745)
+Caused by: java.io.IOException: Failed to connect to /192.168.114.12:23242
+    at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:214)
+    at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:167)
+    at org.apache.spark.network.netty.NettyBlockTransferService$$anon$1.createAndStart(NettyBlockTransferService.scala:91)
+    at org.apache.spark.network.shuffle.RetryingBlockFetcher.fetchAllOutstanding(RetryingBlockFetcher.java:140)
+    at org.apache.spark.network.shuffle.RetryingBlockFetcher.access$200(RetryingBlockFetcher.java:43)
+    at org.apache.spark.network.shuffle.RetryingBlockFetcher$1.run(RetryingBlockFetcher.java:170)
+    at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
+    at java.util.concurrent.FutureTask.run(FutureTask.java:266)
+    ... 3 more
+Caused by: java.net.ConnectException: Connection timed out: /192.168.114.12:23242
+    at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
+    at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717)
+    at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:224)
+    at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:289)
+    at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:528)
+    at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468)
+    at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382)
+    at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)
+    at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
+    ... 1 more</pre>
+</div>
+<div class="section" id="mrs_01_2007__s77095240a026459e932a9f1f2f98a8e8"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2007__a901139d299cc4490a02497f76006f5b0">When an application is run, configure the Executor parameter as <span class="parmname" id="mrs_01_2007__p9cbf89ce555b4560990e4df4d5a4ce05"><b>--executor-cores 4</b></span>. The degree of parallelism (DOP) is high in a single process, resulting in that the IO is highly occupied and the task works slowly.</p>
+<pre class="screen" id="mrs_01_2007__s1516eefd58704f39a2d4a0a4b90ff420">16/02/26 10:04:53 INFO TaskSetManager: Finished task 2139.0 in stage 1.0 (TID 151149) in 376455 ms on 10-196-115-2 (694/153378)</pre>
+<p id="mrs_01_2007__a4bba4ae9b3a34585ac4560fce628c510">Because running a single task takes more than 6 minutes. The network connection is timed out and the running task fails.</p>
+<p id="mrs_01_2007__ae6b1eb81d40146dea791f6d468f5d175">Set the number of cores as 1, which is <span class="parmname" id="mrs_01_2007__pb2d7b3f56eb1405bbbca0d1c03072903"><b>--executor-cores 1</b></span>. A task is executed smoothly in proper time (within 15s).</p>
+<pre class="screen" id="mrs_01_2007__s07f2edb307ef471db675cf549ed8a6ae">16/02/29 02:24:46 INFO TaskSetManager: Finished task 59564.0 in stage 1.0 (TID 208574) in 15088 ms on 10-196-115-6 (59515/153378)</pre>
+<p id="mrs_01_2007__a26a36305fbd44c94837237d9ce9bd7e6">Therefore, to process the task of network connection timed out and avoid such error, you can reduce the core number of a single Executor.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2003.html">Spark Core</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2008.html b/docs/mrs/component-operation-guide/mrs_01_2008.html
new file mode 100644
index 000000000..29b13993f
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2008.html
@@ -0,0 +1,26 @@
+<a name="mrs_01_2008"></a><a name="mrs_01_2008"></a>
+
+<h1 class="topictitle1">How to Configure Event Queue Size If Event Queue Overflows?</h1>
+<div id="body1595920219446"><div class="section" id="mrs_01_2008__sb922c9a16cb14595842f08df843b660f"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2008__af37d899d382f4d069db74eade2be8535">How to configure the event queue size if the following Driver log information is displayed indicating that the event queue overflows?</p>
+<ul id="mrs_01_2008__u4876f0a67d184d4aa3932db94f522f20"><li id="mrs_01_2008__l596d11085b0e4bfbb1bd5b9316728fc4">Common applications<pre class="screen" id="mrs_01_2008__s2d80139568d44bc8ad9ca03f86397e04">Dropping SparkListenerEvent because no remaining room in event queue. 
+This likely means one of the SparkListeners is too slow and cannot keep
+up with the rate at which tasks are being started by the scheduler.</pre>
+</li><li id="mrs_01_2008__l802584341f074a8cb4c30a020c25241c">Spark Streaming applications<pre class="screen" id="mrs_01_2008__sa57642942dfd408a913414f809533310">Dropping StreamingListenerEvent because no remaining room in event queue.
+This likely means one of the StreamingListeners is too slow and cannot keep
+up with the rate at which events are being started by the scheduler.</pre>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_2008__sebca6a3dd7624f57bf940300c8daf22a"><h4 class="sectiontitle">Answer</h4><ol id="mrs_01_2008__o6b1bc6ebb4674ce4b5ef9a55dc32a2db"><li id="mrs_01_2008__l1c4a5d7872624e218aff70f81807933d">Stop the application. Set the configuration option <span class="parmname" id="mrs_01_2008__p08d1e9ada5944bbca7aabf0cb5705983"><b>spark.event.listener.logEnable</b></span> in the Spark configuration file <span class="filepath" id="mrs_01_2008__f6148cc91e3ed4cef82965ee7f911efa3"><b>spark-defaults.conf</b></span> to <span class="parmvalue" id="mrs_01_2008__p9461755d17304d5889f5eeb81fe81526"><b>true</b></span>. And set the configuration option <span class="parmname" id="mrs_01_2008__p85fba62c7cc247d9a21d822cc51ea9cb"><b>spark.eventQueue.size</b></span> to <span class="parmvalue" id="mrs_01_2008__pa8ef80bb81ea494bba9b90d376284a8c"><b>1000W</b></span>. If you need to control the logging rate (in milliseconds), also change the value of the configuration option <span class="parmname" id="mrs_01_2008__p1217e572db3442aa9cae5862d361d95e"><b>spark.event.listener.logRate</b></span>.<p id="mrs_01_2008__a20d39fff48dd409286a4c73ba1ddc2b2">By default, the logging rate is 1000 ms, which means that one log is printed out every 1000 ms.</p>
+</li><li id="mrs_01_2008__l20780d97240a4bfe9bb85d0bf589c63c">Start the application.<div class="p" id="mrs_01_2008__a81cb74b50775488b8cc104b62f56adc0"><a name="mrs_01_2008__l20780d97240a4bfe9bb85d0bf589c63c"></a><a name="l20780d97240a4bfe9bb85d0bf589c63c"></a>The following log information is displayed, including the event consumption rate, event production rate, and <span class="parmname" id="mrs_01_2008__p983cd85e31da41bf95921bbcf1fe5308"><b>MaxSize</b></span> (maximum size of messages in the queue).<pre class="screen" id="mrs_01_2008__saa0af0b62c1943bb86c8880fd35f0698">INFO LiveListenerBus: [SparkListenerBus]:16044 events are consumed in 5000 ms.
+INFO LiveListenerBus: [SparkListenerBus]:51381 events are produced in 5000 ms, eventQueue still has 86417 events, MaxSize: 171764.</pre>
+</div>
+</li><li id="mrs_01_2008__lc0de1e59729c440b900a53713d051815">Change the value of the configuration option <span class="parmname" id="mrs_01_2008__p5a7e108c2ba64f1dad09c00c244e7be8"><b>spark.eventQueue.size</b></span> in the Spark configuration file <span class="filepath" id="mrs_01_2008__f7fe963585f3647fdbddec66cbb1d538f"><b>spark-defaults.conf</b></span> based on the <span class="parmname" id="mrs_01_2008__pe1bb9d46154a4f7da1bb93b041a5d725"><b>MaxSize</b></span> in the log information.<p id="mrs_01_2008__a1bd7852c032e4a359d6eefadca7495b7">For example, if <span class="parmname" id="mrs_01_2008__pe9840f9382144e69bf93c74c881155c8"><b>MaxSize</b></span> is 250000, the appropriate message queue size is 300000.</p>
+</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2003.html">Spark Core</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2009.html b/docs/mrs/component-operation-guide/mrs_01_2009.html
new file mode 100644
index 000000000..c3fb575bc
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2009.html
@@ -0,0 +1,45 @@
+<a name="mrs_01_2009"></a><a name="mrs_01_2009"></a>
+
+<h1 class="topictitle1">What Can I Do If the getApplicationReport Exception Is Recorded in Logs During Spark Application Execution and the Application Does Not Exit for a Long Time?</h1>
+<div id="body1595920219448"><div class="section" id="mrs_01_2009__s40c3a8c4bb3747e7a93ab07570f89f96"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2009__ae38437c778cd41fe94b7bf5631eb8009">During Spark application execution, if the driver fails to connect to ResourceManager, the following error is reported and it does not exit for a long time. What can I do?</p>
+<pre class="screen" id="mrs_01_2009__sf43ccab3f0ce48b2aa0bca8adcaa3915">16/04/23 15:31:44 INFO RetryInvocationHandler: Exception while invoking getApplicationReport of class ApplicationClientProtocolPBClientImpl over 37 after 1 fail over attempts. Trying to fail over after sleeping for 44160ms.
+java.net.ConnectException: Call From vm1/192.168.39.30 to vm1:8032 failed on connection exception: java.net.ConnectException: Connection refused; For more details see:  http://wiki.apache.org/hadoop/ConnectionRefused</pre>
+</div>
+<div class="section" id="mrs_01_2009__s7051ec0a8ba24803b60f25b8a064f102"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2009__a8105aa8d838445d5be76b774588057a7">In Spark, there is a scheduled thread that listens to the status of ApplicationMaster by connecting to ResourceManager. The connection to the ResourceManager times out. As a result, the preceding error is reported and the system keeps trying to connect to the ResourceManager. In the ResourceManager, the number of retry times is limited. By default, the number of retry times is 30 and the retry interval is about 30 seconds. The preceding error is reported during each retry. The driver exits only after the number of times is exceeded.</p>
+<p id="mrs_01_2009__a40d91f470adb48c7adb01e2b76375e6c"><a href="#mrs_01_2009__t76cbd5573d354cb7846083dd9e85be25">Table 1</a> describes the retry-related configuration items in the ResourceManager.</p>
+
+<div class="tablenoborder"><a name="mrs_01_2009__t76cbd5573d354cb7846083dd9e85be25"></a><a name="t76cbd5573d354cb7846083dd9e85be25"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2009__t76cbd5573d354cb7846083dd9e85be25" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_2009__rbcf797f7d39948f888bd1e22d134b749"><th align="left" class="cellrowborder" valign="top" width="45.93000000000001%" id="mcps1.3.2.4.2.4.1.1"><p id="mrs_01_2009__aafaf1269e71242af8c4c9358abb2af77">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="35.400000000000006%" id="mcps1.3.2.4.2.4.1.2"><p id="mrs_01_2009__a64224a0409744863b43ab81b806b9166">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="18.67%" id="mcps1.3.2.4.2.4.1.3"><p id="mrs_01_2009__a4c65e4b07cbc4388983bf69505c78248">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2009__r6abdd435dd04493ab8a0a7232c34cfb3"><td class="cellrowborder" valign="top" width="45.93000000000001%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_2009__a799510384f4d43289328ff85f8631f6d">yarn.resourcemanager.connect.max-wait.ms</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.400000000000006%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_2009__a0485113be6f44bc2967adbe723088c4d">Maximum waiting time for connecting to the ResourceManager.</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_2009__ad7ec53d630fb44ea8790c688b52fe1dd">900000</p>
+</td>
+</tr>
+<tr id="mrs_01_2009__rcf2bfd18f6c54f749f69f64e8ff218fb"><td class="cellrowborder" valign="top" width="45.93000000000001%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_2009__a65aeb2a8947e46b7b16be8a811cc6d10">yarn.resourcemanager.connect.retry-interval.ms</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.400000000000006%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_2009__ad8170cc21abf40c4bde38c4d3dbe8302">Interval for reconnecting to the ResourceManager.</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_2009__a97652d6270e64feca770cca75e15109f">30000</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_2009__a8c3b79d66a6b46b79aba7cdbaa3592d8">Number of retries (<strong id="mrs_01_2009__b15169828769360">yarn.resourcemanager.connect.max-wait.ms/yarn.resourcemanager.connect.retry-interval.ms</strong>) = Maximum waiting time for connecting to the ResourceManager/Interval for reconnecting to the ResourceManager</p>
+<p id="mrs_01_2009__ad64996f732a949ebafd0f6bf395f30d2">On the Spark client, modify the <span class="filepath" id="mrs_01_2009__filepath16416203409360"><b>conf/yarn-site.xml</b></span> file to add and configure <span class="parmname" id="mrs_01_2009__parmname15492182089360"><b>yarn.resourcemanager.connect.max-wait.ms</b></span> and <span class="parmname" id="mrs_01_2009__parmname12496462759360"><b>yarn.resourcemanager.connect.retry-interval.ms</b></span>. In this way, the number of retry times can be changed, and the Spark application can exit in advance.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2003.html">Spark Core</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2010.html b/docs/mrs/component-operation-guide/mrs_01_2010.html
new file mode 100644
index 000000000..8f71ea70c
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2010.html
@@ -0,0 +1,64 @@
+<a name="mrs_01_2010"></a><a name="mrs_01_2010"></a>
+
+<h1 class="topictitle1">What Can I Do If "Connection to ip:port has been quiet for xxx ms while there are outstanding requests" Is Reported When Spark Executes an Application and the Application Ends?</h1>
+<div id="body1595920219450"><div class="section" id="mrs_01_2010__se58b3d1e0d58405fa346dff25306658d"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2010__a4794463c5dc742deb5a283d2e6951d4b">When Spark executes an application, an error similar to the following is reported and the application ends. What can I do?</p>
+<pre class="screen" id="mrs_01_2010__sd4d32d41f75c47d9baa99cde93312f46">2016-04-20 10:42:00,557 | ERROR | [shuffle-server-2] | Connection to 10-91-8-208/10.18.0.115:57959 has been quiet for 180000 ms while there are outstanding requests. Assuming connection is dead; please adju
+st spark.network.timeout if this is wrong. | org.apache.spark.network.server.TransportChannelHandler.userEventTriggered(TransportChannelHandler.java:128)
+2016-04-20 10:42:00,558 | ERROR | [shuffle-server-2] | Still have 1 requests outstanding when connection from 10-91-8-208/10.18.0.115:57959 is closed | org.apache.spark.network.client.TransportResponseHandl
+er.channelUnregistered(TransportResponseHandler.java:102)
+2016-04-20 10:42:00,562 | WARN  | [yarn-scheduler-ask-am-thread-pool-160] | Error sending message [message = DoShuffleClean(application_1459995017785_0108,319)] in 1 attempts | org.apache.spark.Logging$clas
+s.logWarning(Logging.scala:92)
+java.io.IOException: Connection from 10-91-8-208/10.18.0.115:57959 closed
+        at org.apache.spark.network.client.TransportResponseHandler.channelUnregistered(TransportResponseHandler.java:104)
+        at org.apache.spark.network.server.TransportChannelHandler.channelUnregistered(TransportChannelHandler.java:94)
+        at io.netty.channel.AbstractChannelHandlerContext.invokeChannelUnregistered(AbstractChannelHandlerContext.java:158)
+        at io.netty.channel.AbstractChannelHandlerContext.fireChannelUnregistered(AbstractChannelHandlerContext.java:144)
+        at io.netty.channel.ChannelInboundHandlerAdapter.channelUnregistered(ChannelInboundHandlerAdapter.java:53)
+        at io.netty.channel.AbstractChannelHandlerContext.invokeChannelUnregistered(AbstractChannelHandlerContext.java:158)
+        at io.netty.channel.AbstractChannelHandlerContext.fireChannelUnregistered(AbstractChannelHandlerContext.java:144)
+        at io.netty.channel.ChannelInboundHandlerAdapter.channelUnregistered(ChannelInboundHandlerAdapter.java:53)
+        at io.netty.channel.AbstractChannelHandlerContext.invokeChannelUnregistered(AbstractChannelHandlerContext.java:158)
+        at io.netty.channel.AbstractChannelHandlerContext.fireChannelUnregistered(AbstractChannelHandlerContext.java:144)
+        at io.netty.channel.ChannelInboundHandlerAdapter.channelUnregistered(ChannelInboundHandlerAdapter.java:53)
+        at io.netty.channel.AbstractChannelHandlerContext.invokeChannelUnregistered(AbstractChannelHandlerContext.java:158)
+        at io.netty.channel.AbstractChannelHandlerContext.fireChannelUnregistered(AbstractChannelHandlerContext.java:144)
+        at io.netty.channel.DefaultChannelPipeline.fireChannelUnregistered(DefaultChannelPipeline.java:739)
+        at io.netty.channel.AbstractChannel$AbstractUnsafe$8.run(AbstractChannel.java:659)
+        at io.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:357)
+        at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:357)
+        at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
+        at java.lang.Thread.run(Thread.java:745)
+2016-04-20 10:42:00,573 | INFO  | [dispatcher-event-loop-14] | Starting task 177.0 in stage 1492.0 (TID 1996351, linux-254, PROCESS_LOCAL, 2106 bytes) | org.apache.spark.Logging$class.logInfo(Logging.scala:
+59)
+2016-04-20 10:42:00,574 | INFO  | [task-result-getter-0] | Finished task 85.0 in stage 1492.0 (TID 1996259) in 191336 ms on linux-254 (106/3000) | org.apache.spark.Logging$class.logInfo(Logging.scala:59)
+2016-04-20 10:42:00,811 | ERROR | [Yarn application state monitor] | Yarn application has already exited with state FINISHED! | org.apache.spark.Logging$class.logError(Logging.scala:75)</pre>
+</div>
+<div class="section" id="mrs_01_2010__sfa8da5d6347a4408a1f3a8a1ccf8b1c5"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2010__ac9266196ae6b4fa09ced08416ac0e457">Symptom: The value of <strong id="mrs_01_2010__b104373733492340">spark.rpc.io.connectionTimeout </strong>is less than the value of <strong id="mrs_01_2010__b129552523992340">spark.rpc.askTimeout</strong>. In full GC or network delay scenarios, when the channel reaches the expiration time and still receives no response, the channel is terminated. When detecting that the channel is terminated, the AM considers the driver as disconnected, and the entire application is stopped.</p>
+<p id="mrs_01_2010__a1abbdfe891b04f25a45defd973e7f443">Solution: Set the parameter in the <strong id="mrs_01_2010__b1281541892340">spark-defaults.conf</strong> file on the Spark client by running the <strong id="mrs_01_2010__b98028185392340">set</strong> command. During parameter configuration, ensure that the channel expiration time (<strong id="mrs_01_2010__b203753187592340">spark.rpc.io.connectionTimeout</strong>) is greater than or equal to the RPC response timeout (<strong id="mrs_01_2010__b83968594892340">spark.rpc.askTimeout</strong>).</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2010__te88ea9ac93cd467887e433ed9a03a5f6" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_2010__ra70b881dcd164dd28cfa365ffafc4bd6"><th align="left" class="cellrowborder" valign="top" width="25.250000000000007%" id="mcps1.3.2.4.2.4.1.1"><p id="mrs_01_2010__a566f7edb026046c2924fe9543d6d0d46">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="56.080000000000005%" id="mcps1.3.2.4.2.4.1.2"><p id="mrs_01_2010__a9b9ac623a0d04b768c6da28f74c1b047">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="18.67%" id="mcps1.3.2.4.2.4.1.3"><p id="mrs_01_2010__abd6bdf9e3f7f4972a00355fe50b82e80">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2010__r181dca89117e4750a58db36450f3d451"><td class="cellrowborder" valign="top" width="25.250000000000007%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_2010__ae863085bcf6f4ad9b7148ec2babe3536">spark.rpc.askTimeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.080000000000005%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_2010__a9e5004df32cb4c9ab0b1015f77d1fc8a">RPC response timeout. If this parameter is not set, the value of <strong id="mrs_01_2010__b3895665192340">spark.network.timeout</strong> is used by default.</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_2010__a4495ec3971184f3d810d5e86942502b6">120s</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2003.html">Spark Core</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2011.html b/docs/mrs/component-operation-guide/mrs_01_2011.html
new file mode 100644
index 000000000..6ab2e5256
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2011.html
@@ -0,0 +1,14 @@
+<a name="mrs_01_2011"></a><a name="mrs_01_2011"></a>
+
+<h1 class="topictitle1">Why Do Executors Fail to be Removed After the NodeManeger Is Shut Down?</h1>
+<div id="body1595920219451"><div class="section" id="mrs_01_2011__s4b5958df25d94966918f3c1cd826dec6"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2011__ad56a0d348da84343958ebb70d1391117">If the NodeManager is shut down with the Executor dynamic allocation enabled, the Executors on the node where the NodeManeger is shut down fail to be removed from the driver page after the idle time expires.</p>
+</div>
+<div class="section" id="mrs_01_2011__s65e168f0b67e4facbd30db02f849d142"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2011__a07118e07b6644799ad5bbef715cbccac">When the ResourceManager detects that the NodeManager is shut down, the driver has requested to kill Executors due to idle time expiry. However, the Executors cannot actually be killed because the NodeManager is shut down. The driver cannot detect the LOST events of these Executors and does not remove Executors from its Executor list. Therefore, the Executors are not removed from the driver page. This phenomenon is normal after the YARN NodeManager is shut down. The Executors will be removed after the NodeManager restarts.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2003.html">Spark Core</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2012.html b/docs/mrs/component-operation-guide/mrs_01_2012.html
new file mode 100644
index 000000000..bc8bef573
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2012.html
@@ -0,0 +1,18 @@
+<a name="mrs_01_2012"></a><a name="mrs_01_2012"></a>
+
+<h1 class="topictitle1">What Can I Do If the Message "Password cannot be null if SASL is enabled" Is Displayed?</h1>
+<div id="body1595920219637"><div class="section" id="mrs_01_2012__sad7363bd8ee145579ad394fdb6e4ea30"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2012__a57ec1c9426144131ad1fcbe201c282c6">ExternalShuffle is enabled for the application that runs Spark. Task loss occurs in the application because the message "java.lang.NullPointerException: Password cannot be null if SASL is enabled" is displayed. The following shows some key logs:</p>
+<p id="mrs_01_2012__a94ed986b82674e7e9387d591a6cbe5a2"><span><img id="mrs_01_2012__icc3922b7274948c58aece106f8742bed" src="en-us_image_0000001295930836.png"></span></p>
+</div>
+<div class="section" id="mrs_01_2012__s12cda0d260c048c1a0c4f49f58f3a087"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2012__a04f8213376e34658bf0bc182187228d0">The cause is that NodeManager restarts. When ExternalShuffle is used, Spark uses NodeManager to transmit shuffle data. Therefore, the memory of NodeManager may be seriously insufficient.</p>
+<p id="mrs_01_2012__abd0fe71072934421bd55fe4758896f9c">In the FusionInsight of the current version, the default memory of NodeManager is only 1 GB. When the data volume of Spark tasks is large (greater than 1 TB), the memory is severely insufficient and the message response is slow. As a result, the FusionInsight health check determines that the NodeManager process exits and forcibly restarts the NodeManager, causing the preceding problem.</p>
+<p id="mrs_01_2012__a47a279354f894fcabd006b268a0f1a1e">Solution</p>
+<p id="mrs_01_2012__a55022971022242d19e6548e331b19505">Adjust the memory of the NodeManager. If the data volume is large (greater than 1 TB), the memory of NodeManager must be greater than 4 GB. </p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2003.html">Spark Core</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2013.html b/docs/mrs/component-operation-guide/mrs_01_2013.html
new file mode 100644
index 000000000..b858dcea6
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2013.html
@@ -0,0 +1,20 @@
+<a name="mrs_01_2013"></a><a name="mrs_01_2013"></a>
+
+<h1 class="topictitle1">What Should I Do If the Message "Failed to CREATE_FILE" Is Displayed in the Restarted Tasks When Data Is Inserted Into the Dynamic Partition Table?</h1>
+<div id="body1595920219638"><div class="section" id="mrs_01_2013__s6544ca3e86614834b05b721fa76b0964"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2013__ab595c374d0fa43f2bf5141c224f69f28">When inserting data into the dynamic partition table, a large number of shuffle files are damaged due to the disk disconnection, node error, and the like. In this case, why the message <span class="uicontrol" id="mrs_01_2013__uf604b700180241cbb411619fb50c70bd"><b>Failed to CREATE_FILE</b></span> is displayed in the restarted tasks?</p>
+<pre class="screen" id="mrs_01_2013__s0d7ad5f4790a4353a14d8149cce01249">2016-06-25 15:11:31,323 | ERROR | [Executor task launch worker-0] | Exception in task 15.0 in stage 10.1 (TID 1258) | org.apache.spark.Logging$class.logError(Logging.scala:96)
+org.apache.hadoop.hive.ql.metadata.HiveException: org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.hdfs.protocol.AlreadyBeingCreatedException): Failed to CREATE_FILE /user/hive/warehouse/testdb.db/we
+b_sales/.hive-staging_hive_2016-06-25_15-09-16_999_8137121701603617850-1/-ext-10000/_temporary/0/_temporary/attempt_201606251509_0010_m_000015_0/ws_sold_date=1999-12-17/part-00015 for DFSClient_attempt_2016
+06251509_0010_m_000015_0_353134803_151 on 10.1.1.5 because this file lease is currently owned by DFSClient_attempt_201606251509_0010_m_000015_0_-848353830_156 on 10.1.1.6</pre>
+</div>
+<div class="section" id="mrs_01_2013__s9ac8421bff6f4beaae7bfc7df899864a"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2013__a00d5fef814964efca78deb867b30b32c">The last step of inserting data into the dynamic partition table is to read shuffle files and then write the data to the mapped partition files.</p>
+<p id="mrs_01_2013__a3aee320f875049b1b89be32a92b759fe">After a large number of shuffle files are damaged, a large number of tasks fail, causing the restart of jobs. Before the restart of jobs, Spark closes the handles that write table partition files. However, the HDFS cannot process the scenario of batch tasks closing handles. After tasks restart next time, the handles are not released in a timely manner on the NameNode. As a result, the message <span class="uicontrol" id="mrs_01_2013__u5a8e82e27e4442aea9e037b30a3913d7"><b>Failed to CREATE_FILE</b></span> is displayed.</p>
+<p id="mrs_01_2013__a5e84709822ee45ae9c0b373887dfa283">This error only occurs when a large number of shuffle files are damaged. The tasks will restart after the error occurs and the restart can be completed within milliseconds.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2003.html">Spark Core</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2014.html b/docs/mrs/component-operation-guide/mrs_01_2014.html
new file mode 100644
index 000000000..edd42d404
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2014.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_2014"></a><a name="mrs_01_2014"></a>
+
+<h1 class="topictitle1">Why Tasks Fail When Hash Shuffle Is Used?</h1>
+<div id="body1595920219639"><div class="section" id="mrs_01_2014__s4bd4320001f14f5599ef4c532ded1d8d"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2014__ada60561b390e4291aa91544af840a17d">When Hash shuffle is used to run a job that consists of 1000000 map tasks x 100000 reduce tasks, run logs report many message failures and Executor heartbeat timeout, leading to task failures. Why does this happen?</p>
+</div>
+<div class="section" id="mrs_01_2014__s5125dd1ed215437eb474b274e5161fbb"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2014__abedd3e56e5d142908aaaec8cc177a318">During the shuffle process, Hash shuffle just writes the data of different reduce partitions to their respective disk files according to hash results without sorting the data.</p>
+<p id="mrs_01_2014__a0b4a0684e9474787a773dfc5cc6f8e6f">If there are many reduce partitions, a large number of disk files will be generated. In your case, 10^11 shuffle files, that is, 1000000 * 100000 shuffle files, will be generated. The sheer number of disk files will have a great impact on the file read and write performance. In addition, the operations such as sorting and compressing will consume a large amount of temporary memory space because a large number of file handles are open, presenting great challenges to memory management and garbage collection and incurring the possibility that the Executor fails to respond to Driver.</p>
+<p id="mrs_01_2014__ac37d10e5db6f46a0b116d897e8f47a53">Sort shuffle, instead of Hash shuffle, is recommended to run a job.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2003.html">Spark Core</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2015.html b/docs/mrs/component-operation-guide/mrs_01_2015.html
new file mode 100644
index 000000000..35c3d4eaf
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2015.html
@@ -0,0 +1,19 @@
+<a name="mrs_01_2015"></a><a name="mrs_01_2015"></a>
+
+<h1 class="topictitle1">What Can I Do If the Error Message "DNS query failed" Is Displayed When I Access the Aggregated Logs Page of Spark Applications?</h1>
+<div id="body1595920219929"><div class="section" id="mrs_01_2015__sb13e0777a1f1402ebf9a8fdfc8add27b"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2015__ae05fbf9766bf42fa918d05730c33ab5d">When the <strong id="mrs_01_2015__b38033032220">http(s)://&lt;spark ip&gt;:&lt;spark port&gt;</strong> mode is used to access the Spark JobHistory page, if the displayed Spark JobHistory page is not the page of FusionInsight Manager (the URL of FusionInsight Manager is similar to <strong id="mrs_01_2015__b48043042210">https://&lt;oms ip&gt;:20026/Spark2x/JobHistory2x/xx/</strong>), click an application and click <strong id="mrs_01_2015__b1880415052219">AggregatedLogs</strong>, click the logs of an executor to be viewed. An error message in <a href="#mrs_01_2015__fig446833702017">Figure 1</a> is displayed.</p>
+<div class="fignone" id="mrs_01_2015__fig446833702017"><a name="mrs_01_2015__fig446833702017"></a><a name="fig446833702017"></a><span class="figcap"><b>Figure 1 </b>DNS query failure</span><br><span><img id="mrs_01_2015__image176004272202" src="en-us_image_0000001389422168.png"></span></div>
+</div>
+<div class="section" id="mrs_01_2015__s87bf153d20de4085972c1227f610cb11"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2015__a2994adbe7dbe4e468f4f34d1abe90b07"><strong id="mrs_01_2015__b172376054992419">Cause</strong>: The domain name is not added to the <strong id="mrs_01_2015__b11580975692419">hosts</strong> file of the Windows OS in the pop-up URL (for example, <strong id="mrs_01_2015__b7960853992419">https://&lt;hostname&gt;:20026/Spark2x/JobHistory2x/xx/history/application_xxx/jobs/</strong>). As a result, the DNS query fails and the web page cannot be displayed.</p>
+<p id="mrs_01_2015__a935fdb3fcee34b3cbd6b3cdcb18f7250"><strong id="mrs_01_2015__ae348eaad631c4a3e8613ae40d91ceede">Solution:</strong></p>
+<ul id="mrs_01_2015__u41f61fb81fe24e7dbec962bfcfbd2cce"><li id="mrs_01_2015__la419e12d11814019b0d0eb31e45d5829">You are advised to visit <strong id="mrs_01_2015__b209116762210">Spark JobHistory</strong> page using the FusionInsight Manager. Click the links in the blue box in <a href="#mrs_01_2015__fig3432163744119">Figure 2</a>.<div class="fignone" id="mrs_01_2015__fig3432163744119"><a name="mrs_01_2015__fig3432163744119"></a><a name="fig3432163744119"></a><span class="figcap"><b>Figure 2 </b>Spark2x page of FusionInsight Manager</span><br><span><img id="mrs_01_2015__image14288831184115" src="en-us_image_0000001388065252.png"></span></div>
+</li><li id="mrs_01_2015__l9df2054a205c4549a6c2d399b4d10b78">If you do not want to access the <strong id="mrs_01_2015__b174589564992419">Spark JobHistory</strong> page using the FusionInsight Manager, change <strong id="mrs_01_2015__b110667959092419">&lt;hostname&gt;</strong> in the URL to the IP address or add the domain name to the <strong id="mrs_01_2015__b200713826492419">hosts</strong> file of the Windows OS.</li></ul>
+<p id="mrs_01_2015__a82103511a643411483846ec9772b0a58"></p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2003.html">Spark Core</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2016.html b/docs/mrs/component-operation-guide/mrs_01_2016.html
new file mode 100644
index 000000000..4f098fc42
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2016.html
@@ -0,0 +1,15 @@
+<a name="mrs_01_2016"></a><a name="mrs_01_2016"></a>
+
+<h1 class="topictitle1">What Can I Do If Shuffle Fetch Fails Due to the "Timeout Waiting for Task" Exception?</h1>
+<div id="body1595920219930"><div class="section" id="mrs_01_2016__s50dd42bf639b4bbfaf08e86821a27528"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2016__ae83e6342b6e947beb3652a08eb46e409">When I execute a 100 TB TPC-DS test suite in the JDBCServer mode, the "Timeout waiting for task" is displayed. As a result, shuffle fetch fails, the stage keeps retrying, and the task cannot be completed properly. What can I do?</p>
+</div>
+<div class="section" id="mrs_01_2016__s06a8a9b5eefb47949cedb78ca3060ae6"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2016__a28f4cd138eb7403798bcfefc3c3b3701">The ShuffleService function is used in JDBCServer mode. In the reduce phase, all executors obtain data from NodeManager. When the data volume reaches a level (more than 10 TB), the NodeManager may reach the bottleneck (ShuffleService is in the NodeManager process). As a result, some tasks for obtaining data time out. Therefore, the problem occurs.</p>
+<p id="mrs_01_2016__a8aae314d7bda4ebeb7ecaea5c461f115">You are advised to disable ShuffleService for Spark tasks whose data volume is greater than 10 TB. That is, set <span class="parmname" id="mrs_01_2016__parmname96457309292615"><b>spark.shuffle.service.enabled</b></span> in the <span class="filepath" id="mrs_01_2016__filepath40315501592615"><b>Spark-defaults.conf</b></span> configuration file to <span class="parmvalue" id="mrs_01_2016__parmvalue2960539692615"><b>false</b></span>.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2003.html">Spark Core</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2017.html b/docs/mrs/component-operation-guide/mrs_01_2017.html
new file mode 100644
index 000000000..5ed105cee
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2017.html
@@ -0,0 +1,20 @@
+<a name="mrs_01_2017"></a><a name="mrs_01_2017"></a>
+
+<h1 class="topictitle1">Why Does the Stage Retry due to the Crash of the Executor?</h1>
+<div id="body1595920219931"><div class="section" id="mrs_01_2017__s9fda75a28b86421ebbcb7ba6de4396be"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2017__a66c46a95aa5348118b784a34f610630d">When I run Spark tasks with a large data volume, for example, 100 TB TPCDS test suite, why does the Stage retry due to Executor loss sometimes? The message "Executor 532 is lost rpc with driver, but is still alive, going to kill it" is displayed, indicating that the loss of the Executor is caused by a JVM crash.</p>
+<p id="mrs_01_2017__a3f5a346bdd1a405ba71f8a8caaacf5d9">The log of the key JVM crash is as follows:</p>
+<pre class="screen" id="mrs_01_2017__s492d2580584c42a0852d0a1dda29676e">#
+# A fatal error has been detected by the Java Runtime Environment:
+#
+#  Internal Error (sharedRuntime.cpp:834), pid=241075, tid=140476258551552
+#  fatal error: exception happened outside interpreter, nmethods and vtable stubs at pc 0x00007fcda9eb8eb1</pre>
+</div>
+<div class="section" id="mrs_01_2017__sc9416d59bc2148b7a80f9f6d8f216c51"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2017__aae47043a9ad1437388872b22b4aa7e02">This error does not affect services. This error is caused by defects of the Oracle JVM, but not the platform code. There is the fault tolerance mechanism for Executors in Spark: the Stage retries in case of an Executor crash to ensure the success execution of tasks.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2003.html">Spark Core</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2018.html b/docs/mrs/component-operation-guide/mrs_01_2018.html
new file mode 100644
index 000000000..ef28e8184
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2018.html
@@ -0,0 +1,66 @@
+<a name="mrs_01_2018"></a><a name="mrs_01_2018"></a>
+
+<h1 class="topictitle1">Why Do the Executors Fail to Register Shuffle Services During the Shuffle of a Large Amount of Data?</h1>
+<div id="body1595920219933"><div class="section" id="mrs_01_2018__s8e19beb503804d668dfb349bd955cced"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2018__add4f1e974a444c1b92b968b950a6213e">When more than 50 terabytes of data is shuffled, some executors fail to register shuffle services due to timeout. The shuffle tasks then fail. Why? The error log is as follows: </p>
+<pre class="screen" id="mrs_01_2018__sd6544b3b04804d1f82e348e3c0f36178">2016-10-19 01:33:34,030 | WARN | ContainersLauncher #14 | Exception from container-launch with container ID: container_e1452_1476801295027_2003_01_004512 and exit code: 1 | LinuxContainerExecutor.java:397
+ExitCodeException exitCode=1:
+at org.apache.hadoop.util.Shell.runCommand(Shell.java:561)
+at org.apache.hadoop.util.Shell.run(Shell.java:472)
+at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:738)
+at org.apache.hadoop.yarn.server.nodemanager.LinuxContainerExecutor.launchContainer(LinuxContainerExecutor.java:381)
+at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:312)
+at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:88)
+at java.util.concurrent.FutureTask.run(FutureTask.java:266)
+at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
+at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
+at java.lang.Thread.run(Thread.java:745)
+2016-10-19 01:33:34,031 | INFO | ContainersLauncher #14 | Exception from container-launch. | ContainerExecutor.java:300
+2016-10-19 01:33:34,031 | INFO | ContainersLauncher #14 | Container id: container_e1452_1476801295027_2003_01_004512 | ContainerExecutor.java:300
+2016-10-19 01:33:34,031 | INFO | ContainersLauncher #14 | Exit code: 1 | ContainerExecutor.java:300
+2016-10-19 01:33:34,031 | INFO | ContainersLauncher #14 | Stack trace: ExitCodeException exitCode=1: | ContainerExecutor.java:300</pre>
+</div>
+<div class="section" id="mrs_01_2018__sa3156d591bc642a0a6737ffc375e99a1"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2018__a3faf260bccc546ff8f8bf05073c03357">The imported data exceeds 50 TB, which exceeds the shuffle processing capability. The shuffle may fail to respond to the registration request of an executor in a timely manner due to the heavy load.</p>
+<p id="mrs_01_2018__a1826c93d741143098db4ae7fb9650375">The timeout interval for an executor to register the shuffle service is 5 seconds. The maximum number of retries is 3. This parameter is not configurable.</p>
+<p id="mrs_01_2018__a14eca68381e7449ea82075a7899a2817">You are advised to increase the number of task retry times and the number of allowed executor failure times.</p>
+<p id="mrs_01_2018__adfe6b6c121df4e4bbdc2727f74e0393a">Configure the following parameters in the <span class="filepath" id="mrs_01_2018__f43735bd8318d4b5bb428a12ace44abf9"><b>spark-defaults.conf</b></span> file on the client: If <span class="parmname" id="mrs_01_2018__pceace18ee32141d39fe2b79291a6a269"><b>spark.yarn.max.executor.failures</b></span> does not exist, manually add it.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2018__t1aba15bf45cc42aeb22687574f994c6b" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter Description</caption><thead align="left"><tr id="mrs_01_2018__r97550aaffd4246c89ced15b92159ae7d"><th align="left" class="cellrowborder" valign="top" width="39.756024397560246%" id="mcps1.3.2.6.2.4.1.1"><p id="mrs_01_2018__a05b5f2f76a6848ac9aca6347896fee38">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="40.29597040295971%" id="mcps1.3.2.6.2.4.1.2"><p id="mrs_01_2018__ae5f3a94e594247b59519eb42c5dfc1a1">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="19.948005199480054%" id="mcps1.3.2.6.2.4.1.3"><p id="mrs_01_2018__a0e9025526a8e42a1a112c3d2520c2db1">Default <span id="mrs_01_2018__p3fc6982d09124a97aaecdff0d8fb0f4f">Value</span></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2018__r87aad5cef5044429a9c1d07d78bb833d"><td class="cellrowborder" valign="top" width="39.756024397560246%" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_2018__a8ef6c7fc70ba4258804d7bf403d185c1">spark.task.maxFailures</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.29597040295971%" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_2018__a902b7cd0f02645978c0b5c7e4129d651">Specifies task retry times.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.948005199480054%" headers="mcps1.3.2.6.2.4.1.3 "><p id="mrs_01_2018__aac3b849f1fd04a8e94ee7b4e9b618b76">4</p>
+</td>
+</tr>
+<tr id="mrs_01_2018__rb6678c3a3a584973820e97b37b9b94c2"><td class="cellrowborder" rowspan="2" valign="top" width="39.756024397560246%" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_2018__a36c29ba27fa54bbbb453815912d418e7">spark.yarn.max.executor.failures</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.29597040295971%" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_2018__a088d5e423a694e66859ecede67f15b1d">Specifies executor failure attempt times.</p>
+<p id="mrs_01_2018__acd7ed58e003c41798689dbf467d04600">Set <span class="parmname" id="mrs_01_2018__pd83d552f4c5c44138b9b04316b073c28"><b>spark.dynamicAllocation.enabled</b></span> to <span class="parmvalue" id="mrs_01_2018__pd4b3f00309be40c0a4cb14e6b5466960"><b>false</b></span>, to disable the dynamic allocation of executors.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.948005199480054%" headers="mcps1.3.2.6.2.4.1.3 "><p id="mrs_01_2018__a250b327b58c745f1893dbcbb22a2d2b0">numExecutors * 2, with minimum of 3</p>
+</td>
+</tr>
+<tr id="mrs_01_2018__r3e4f25ef59ae417eb0940470638fe62f"><td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_2018__a16ce32b7b1db42a2a420d42493dde4e3">Specifies executor failure attempt times.</p>
+<p id="mrs_01_2018__ad280a963ec0b400e8b0ad68fde9d0a36">Set <span class="parmname" id="mrs_01_2018__pa13ff90128464063ad085535d3efa0ba"><b>spark.dynamicAllocation.enabled</b></span> to <span class="parmvalue" id="mrs_01_2018__p7bf830c7279f462184c76cf3548924e4"><b>true</b></span>, to enable the dynamic allocation of executors.</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_2018__ab4d5755a07e94d3e8bf25897c5bd27fd">3</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2003.html">Spark Core</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2019.html b/docs/mrs/component-operation-guide/mrs_01_2019.html
new file mode 100644
index 000000000..7d77e100c
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2019.html
@@ -0,0 +1,66 @@
+<a name="mrs_01_2019"></a><a name="mrs_01_2019"></a>
+
+<h1 class="topictitle1">Why Does the Out of Memory Error Occur in NodeManager During the Execution of Spark Applications</h1>
+<div id="body1595920219934"><div class="section" id="mrs_01_2019__s37dd2e102eed42d992646c14b70a58ce"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2019__a049b82b40dd74a2cb9cec139dc293ae5">During the execution of Spark applications, if the YARN External Shuffle service is enabled and there are too many shuffle tasks, the <strong id="mrs_01_2019__abc9e3d3a2c034d3e82a601ff6fb6847b">java.lang.OutofMemoryError: Direct buffer Memory</strong> error occurs, indicating insufficient memory. The error log is as follows:</p>
+<pre class="screen" id="mrs_01_2019__sd57af0ee4f27416d9db9a006ebd222e6">2016-12-06 02:01:00,768 | WARN  | shuffle-server-38 | Exception in connection from /192.168.101.95:53680 | TransportChannelHandler.java:79
+io.netty.handler.codec.DecoderException: java.lang.OutOfMemoryError: Direct buffer memory
+        at io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:153)
+        at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:333)
+        at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:319)
+        at io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:787)
+        at io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:130)
+        at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:511)
+        at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468)
+        at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382)
+        at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)
+        at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:116)
+        at java.lang.Thread.run(Thread.java:745)
+Caused by: java.lang.OutOfMemoryError: Direct buffer memory
+        at java.nio.Bits.reserveMemory(Bits.java:693)
+        at java.nio.DirectByteBuffer.&lt;init&gt;(DirectByteBuffer.java:123)
+        at java.nio.ByteBuffer.allocateDirect(ByteBuffer.java:311)
+        at io.netty.buffer.PoolArena$DirectArena.newChunk(PoolArena.java:434)
+        at io.netty.buffer.PoolArena.allocateNormal(PoolArena.java:179)
+        at io.netty.buffer.PoolArena.allocate(PoolArena.java:168)
+        at io.netty.buffer.PoolArena.reallocate(PoolArena.java:277)
+        at io.netty.buffer.PooledByteBuf.capacity(PooledByteBuf.java:108)
+        at io.netty.buffer.AbstractByteBuf.ensureWritable(AbstractByteBuf.java:251)
+        at io.netty.buffer.AbstractByteBuf.writeBytes(AbstractByteBuf.java:849)
+        at io.netty.buffer.AbstractByteBuf.writeBytes(AbstractByteBuf.java:841)
+        at io.netty.buffer.AbstractByteBuf.writeBytes(AbstractByteBuf.java:831)
+        at io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:146)
+        ... 10 more</pre>
+</div>
+<div class="section" id="mrs_01_2019__sb7f6f67bdd53440397b62815f92d043b"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2019__abeb8b70e316c4d8aa0b2e114e809c81b">In the Shuffle Service of YARN, the number of started threads are twice of the number of available CPU cores. The default size of direct buffer memory is 128 MB. If there are too many shuffle tasks connected at the same time, the direct buffer memory allocated to each thread service is insufficient. For example, if there are 40 CPU cores and there are 80 threads started by the Shuffle Service of YARN, the direct buffer memory allocated to each thread is less than 2 MB.</p>
+<p id="mrs_01_2019__ae28f2af5d1604aec8d968e0591bf353d">To solve this problem, increase the directory buffer memory based on the number of CPU cores in NodeManager. For example, if there are 40 of CPU cores, increase the direct buffer memory to 512 MB, that is, configure the <span class="parmname" id="mrs_01_2019__p71df5e418c9046f782a91e60647d3d31"><b>GC_OPTS</b></span> parameter of NodeManager as follows:</p>
+<p id="mrs_01_2019__a2bff42b39b4e4f218e5db4de96d9fb29">-XX:MaxDirectMemorySize=512M</p>
+<div class="note" id="mrs_01_2019__note1439313242257"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2019__p16281144122313">By default, <strong id="mrs_01_2019__b1772610563233">-XX:MaxDirectMemorySize</strong> is not configured in the <strong id="mrs_01_2019__b820016212413">GC_OPTS</strong> parameter. To configure it, you need to add it to the <strong id="mrs_01_2019__b78789914242">GC_OPTS</strong> parameter as an custom option.</p>
+</div></div>
+<p id="mrs_01_2019__a42eea0515d6d4ce595a42ad1e02a8f30">To configure the <span class="parmname" id="mrs_01_2019__pc2d06d5aeec94130b12691108f43058a"><b>GC_OPTS</b></span> parameter, log in to FusionInsight Manager, choose <strong id="mrs_01_2019__b12293512913">Cluster &gt; </strong><em id="mrs_01_2019__i132319512919">Name of the desired cluster</em><strong id="mrs_01_2019__b2229135091"> &gt; Service<span id="mrs_01_2019__ph1367715844019">s</span> </strong>&gt; <strong id="mrs_01_2019__a6bda9b42e87d47b8ba33b7bcf8d7f67a">Yarn </strong>&gt;<strong id="mrs_01_2019__a2de281bd0b564000af0ee3a02fb2e53b"> Configuration<span id="mrs_01_2019__ph5621204114">s</span></strong>, click <strong id="mrs_01_2019__b205012457588">All Configurations</strong>, and choose <span class="menucascade" id="mrs_01_2019__m3b43deb3ddcf4451a0527c932d3c006c"><b><span class="uicontrol" id="mrs_01_2019__ueb921183d82b4f869c96a04956d80c70">NodeManager &gt; System</span></b></span>, and then modify the <span class="parmname" id="mrs_01_2019__paee56ee69b41452a9fcfc2bea1672b7d"><b>GC_OPTS</b></span> parameter.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2019__t6d8ada0bb75a4143a9f4347b0343642d" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_2019__r4e780bda5b864932b17d3273d8d5f2ec"><th align="left" class="cellrowborder" valign="top" width="18.82%" id="mcps1.3.2.7.2.4.1.1"><p id="mrs_01_2019__a03f44901ec16438b938f71135582ae82"><strong id="mrs_01_2019__a2a4ac282d9444990becf7ceff0d50c04">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="56.81%" id="mcps1.3.2.7.2.4.1.2"><p id="mrs_01_2019__a1f3f78b869004edbb56ea8231f11acbe"><strong id="mrs_01_2019__adc163d3ff3994bc1b05b5ae5e2d4b22b">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="24.37%" id="mcps1.3.2.7.2.4.1.3"><p id="mrs_01_2019__a859872c74d5e4031a83328ef7e8b0a81"><strong id="mrs_01_2019__a0257745a45024bc7a7950a5a44b18904">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2019__rceea590307d8479f86ff8eb46ff3c3d5"><td class="cellrowborder" valign="top" width="18.82%" headers="mcps1.3.2.7.2.4.1.1 "><p id="mrs_01_2019__a0048197656934046bdcebe69ac6bb391">GC_OPTS</p>
+</td>
+<td class="cellrowborder" valign="top" width="56.81%" headers="mcps1.3.2.7.2.4.1.2 "><p id="mrs_01_2019__a6a894f55124f4026846edcf69a66dd10">The GC parameter of YARN NodeManger.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.37%" headers="mcps1.3.2.7.2.4.1.3 "><p id="mrs_01_2019__a309ebedfb6854460a758a4eb3a3bbaf4">128M</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2003.html">Spark Core</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2021.html b/docs/mrs/component-operation-guide/mrs_01_2021.html
new file mode 100644
index 000000000..9ae2dd088
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2021.html
@@ -0,0 +1,46 @@
+<a name="mrs_01_2021"></a><a name="mrs_01_2021"></a>
+
+<h1 class="topictitle1">Why Does the Realm Information Fail to Be Obtained When SparkBench is Run on HiBench for the Cluster in Security Mode?</h1>
+<div id="body1595920219937"><div class="section" id="mrs_01_2021__sd3c8c2042f1a4c02ab3b455cc0dffefa"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2021__af39f16375c6441aa8f92d763ce93ca3e">Execution of the sparkbench task (for example, Wordcount) of HiBench6 fails. The bench.log indicates that the Yarn task fails to be executed. The failure information displayed on the Yarn UI is as follows:</p>
+<pre class="screen" id="mrs_01_2021__screen1980318256371">Exception in thread "main" org.apache.spark.SparkException: Unable to load YARN support
+  at org.apache.spark.deploy.SparkHadoopUtil$.liftedTree1$1(SparkHadoopUtil.scala:390)
+  at org.apache.spark.deploy.SparkHadoopUtil$.yarn$lzycompute(SparkHadoopUtil.scala:385)
+  at org.apache.spark.deploy.SparkHadoopUtil$.yarn(SparkHadoopUtil.scala:385)
+  at org.apache.spark.deploy.SparkHadoopUtil$.get(SparkHadoopUtil.scala:410)
+  at org.apache.spark.deploy.yarn.ApplicationMaster$.main(ApplicationMaster.scala:796)
+  at org.apache.spark.deploy.yarn.ExecutorLauncher$.main(ApplicationMaster.scala:821)
+  at org.apache.spark.deploy.yarn.ExecutorLauncher.main(ApplicationMaster.scala)
+ Caused by: java.lang.IllegalArgumentException: Can't get Kerberos realm
+  at org.apache.hadoop.security.HadoopKerberosName.setConfiguration(HadoopKerberosName.java:65)
+  at org.apache.hadoop.security.UserGroupInformation.initialize(UserGroupInformation.java:288)
+  at org.apache.hadoop.security.UserGroupInformation.setConfiguration(UserGroupInformation.java:336)
+  at org.apache.spark.deploy.SparkHadoopUtil.&lt;init&gt;(SparkHadoopUtil.scala:51)
+  at org.apache.spark.deploy.yarn.YarnSparkHadoopUtil.&lt;init&gt;(YarnSparkHadoopUtil.scala:49)
+  at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
+  at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
+  at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
+  at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
+  at java.lang.Class.newInstance(Class.java:442)
+  at org.apache.spark.deploy.SparkHadoopUtil$.liftedTree1$1(SparkHadoopUtil.scala:387)
+  ... 6 more
+ Caused by: java.lang.reflect.InvocationTargetException
+  at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
+  at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
+  at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
+  at java.lang.reflect.Method.invoke(Method.java:498)
+  at org.apache.hadoop.security.authentication.util.KerberosUtil.getDefaultRealm(KerberosUtil.java:88)
+  at org.apache.hadoop.security.HadoopKerberosName.setConfiguration(HadoopKerberosName.java:63)
+  ... 16 more
+ Caused by: KrbException: Cannot locate default realm
+  at sun.security.krb5.Config.getDefaultRealm(Config.java:1029)
+  ... 22 more</pre>
+</div>
+<div class="section" id="mrs_01_2021__s8853a53f1c3344d5ab108862179838aa"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2021__a1a60917f0cff4f8b92784e82ebbcdd0b">In C80SPC200 and later, the file stored in the <strong id="mrs_01_2021__b1559519410104">/etc/krb5.conf</strong> directory is no longer replaced during cluster installation. Instead, the file is stored in the corresponding path on the client through parameter configurations, and HiBench does not reference the client configuration file. Solution: Use the file stored in the <strong id="mrs_01_2021__b377019621013">/opt/client/KrbClient/kerberos/var/krb5kdc/krb5.conf</strong> directory on the client to overwrite that in the <strong id="mrs_01_2021__b177010681018">/etc/krb5.conf</strong> directories of all nodes. Make a backup before the overwriting.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2003.html">Spark Core</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2022.html b/docs/mrs/component-operation-guide/mrs_01_2022.html
new file mode 100644
index 000000000..bd86bf5c6
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2022.html
@@ -0,0 +1,61 @@
+<a name="mrs_01_2022"></a><a name="mrs_01_2022"></a>
+
+<h1 class="topictitle1">Spark SQL and DataFrame</h1>
+<div id="body1595920219938"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_2023.html">What Do I have to Note When Using Spark SQL ROLLUP and CUBE?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2024.html">Why Spark SQL Is Displayed as a Temporary Table in Different Databases?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2025.html">How to Assign a Parameter Value in a Spark Command?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2026.html">What Directory Permissions Do I Need to Create a Table Using SparkSQL?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2027.html">Why Do I Fail to Delete the UDF Using Another Service?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2028.html">Why Cannot I Query Newly Inserted Data in a Parquet Hive Table Using SparkSQL?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2029.html">How to Use Cache Table?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2030.html">Why Are Some Partitions Empty During Repartition?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2031.html">Why Does 16 Terabytes of Text Data Fails to Be Converted into 4 Terabytes of Parquet Data?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2033.html">Why the Operation Fails When the Table Name Is TABLE?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2034.html">Why Is a Task Suspended When the ANALYZE TABLE Statement Is Executed and Resources Are Insufficient?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2035.html">If I Access a parquet Table on Which I Do not Have Permission, Why a Job Is Run Before "Missing Privileges" Is Displayed?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2036.html">Why Do I Fail to Modify MetaData by Running the Hive Command?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2037.html">Why Is "RejectedExecutionException" Displayed When I Exit Spark SQL?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2038.html">What Should I Do If the JDBCServer Process is Mistakenly Killed During a Health Check?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2039.html">Why No Result Is found When 2016-6-30 Is Set in the Date Field as the Filter Condition?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2040.html">Why Does the "--hivevar" Option I Specified in the Command for Starting spark-beeline Fail to Take Effect?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2041.html">Why Does the "Permission denied" Exception Occur When I Create a Temporary Table or View in Spark-beeline?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2042.html">Why Is the "Code of method ... grows beyond 64 KB" Error Message Displayed When I Run Complex SQL Statements?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2043.html">Why Is Memory Insufficient if 10 Terabytes of TPCDS Test Suites Are Consecutively Run in Beeline/JDBCServer Mode?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2044.html">Why Are Some Functions Not Available when Another JDBCServer Is Connected?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2046.html">Why Does Spark2x Have No Access to DataSource Tables Created by Spark1.5?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2047.html">Why Does Spark-beeline Fail to Run and Error Message "Failed to create ThriftService instance" Is Displayed?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24491.html">Why Cannot I Query Newly Inserted Data in an ORC Hive Table Using Spark SQL?</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2002.html">Common Issues About Spark2x</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2023.html b/docs/mrs/component-operation-guide/mrs_01_2023.html
new file mode 100644
index 000000000..483b95d5d
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2023.html
@@ -0,0 +1,28 @@
+<a name="mrs_01_2023"></a><a name="mrs_01_2023"></a>
+
+<h1 class="topictitle1">What Do I have to Note When Using Spark SQL ROLLUP and CUBE?</h1>
+<div id="body1595920219938"><div class="section" id="mrs_01_2023__s1b32dcfc91ac45dc9e36c58cb8c07e7e"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2023__a3bbbef80445b4b6f9db995464f621bac">Suppose that there is a table src(d1, d2, m) with the following data:</p>
+<pre class="screen" id="mrs_01_2023__s974c6a586c5947fdaf7a911f9f7a90fc">1 a 1
+1 b 1
+2 b 2</pre>
+<p id="mrs_01_2023__a12e3e06b09e9493290887461d9debf23">The results for statement "select d1, sum(d1) from src group by d1, d2 with rollup" are shown as below:</p>
+<pre class="screen" id="mrs_01_2023__s88fcdace58834d3d9feecf4e6a99d900">NULL 0
+1    2
+2    2
+1    1
+1    1
+2    2</pre>
+<p id="mrs_01_2023__ac8cc27e319794a2e998344f65c3461e1">Why the first line of the above results is (NULL,0), rather than (NULL,4)?</p>
+</div>
+<div class="section" id="mrs_01_2023__sa34deb2d2ebb4d8ba22c79c3e70aa9da"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2023__aad162a4b59c84f26aa87316bb015977a">When conducting the rollup and cube operation, we usually perform the dimension-based analysis and what we need is the measurement result, so we would not conduct aggregation operation on the dimension.</p>
+<p id="mrs_01_2023__a01abd3f7275e48539aa012b3c9de9743">Suppose that there is a table src(d1, d2, m), so the statement 1 "select d1, sum(m) from src group by d1, d2 with rollup" conducts the rollup operation on the dimension d1 and d2 to compute the result of m. It has actual business meaning, and its results are in line with the expectation. However, the statement 2 "select d1, sum(d1) from src group by d1, d2 with rollup" cannot be explained from the business perspective. For the statement 2, the result for all aggregations (sum/avg/max/min) is 0.</p>
+<div class="note" id="mrs_01_2023__n02f1bd80f55b4e22a6224acdd9d4d683"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2023__a7e18d2d652e44267bf4b88868bcc081c">Only when there is an aggregation operation for fields in "group by" in the rollup and cube operation, the result is 0. For non-rollup and non-cube operations, the result will be in line with the expectation.</p>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2022.html">Spark SQL and DataFrame</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2024.html b/docs/mrs/component-operation-guide/mrs_01_2024.html
new file mode 100644
index 000000000..bda3e5005
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2024.html
@@ -0,0 +1,32 @@
+<a name="mrs_01_2024"></a><a name="mrs_01_2024"></a>
+
+<h1 class="topictitle1">Why Spark SQL Is Displayed as a Temporary Table in Different Databases?</h1>
+<div id="body1595920220419"><div class="section" id="mrs_01_2024__s0293ed22141c43f199f85cfe77869ecf"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2024__ab467e779d12f459ab82cbc3baabf2c72">Why temporary tables of the previous database are displayed after the database is switched?</p>
+<ol id="mrs_01_2024__o189940c970864ec6b3aff2c7e5bae540"><li id="mrs_01_2024__l6f7263a0dc944062a0e14045927ec172">Create a temporary DataSource table, for example:<pre class="screen" id="mrs_01_2024__sf5d465435971456ab7960e67129557c7">create temporary table ds_parquet
+using org.apache.spark.sql.parquet
+options(path '/tmp/users.parquet');</pre>
+</li><li id="mrs_01_2024__l215e417dc6ca459484d4f470ed0d7b97">Switch to another database, and run <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_2024__c8d9dc9e8d39a4ae0b8521d2743f837fa">show tables</span></b></i>. The temporary table created in the previous table is displayed.<pre class="screen" id="mrs_01_2024__s3e62eff9d9e240309a8d383752b7cdf6">0: jdbc:hive2://192.168.169.84:22550/default&gt; show tables;
++-----------------+--------------+--+
+|    tableName    | isTemporary  |
++-----------------+--------------+--+
+| ds_parquet      | true         |
+| cmb_tbl_carbon  | false        |
++-----------------+--------------+--+
+2 rows selected (0.109 seconds)
+0: jdbc:hive2://192.168.169.84:22550/default&gt;</pre>
+</li></ol>
+</div>
+<div class="section" id="mrs_01_2024__sabe13a18872e4dd8ae487e46c6973d04"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2024__a9d6c58c99bca44a5bf1a272b17df6f8e">The table management hierarchy of Spark is shown in <a href="#mrs_01_2024__fa8229aa6660f4ac789ff2821c92b06a2">Figure 1</a>. The lowest layer stores all temporary DataSource tables. There is no such concept as database at this layer. DataSource tables are visible in various databases.</p>
+<p id="mrs_01_2024__a896259328b7d4eb18502c76a3c167004">The MetaStore of Hive is located at the upper layer. This layer distinguishes among databases. In each database, there are two types of Hive table, permanent and temporary. Therefore, Spark supports data tables of the same name at three layers.</p>
+<p id="mrs_01_2024__ab8967a33538c4286a7d9508492a535bf">During query, SparkSQL first checks for temporary Spark tables, then temporary Hive tables in the current database, and at last the permanent tables in the current database.</p>
+<div class="fignone" id="mrs_01_2024__fa8229aa6660f4ac789ff2821c92b06a2"><a name="mrs_01_2024__fa8229aa6660f4ac789ff2821c92b06a2"></a><a name="fa8229aa6660f4ac789ff2821c92b06a2"></a><span class="figcap"><b>Figure 1 </b>Spark table management hierarchy</span><br><span><img id="mrs_01_2024__i3fe24b63615041baa1955fdfe3f0efbf" src="en-us_image_0000001348771181.png"></span></div>
+<p id="mrs_01_2024__a1268844d77f746b385f5c39bad5da836">When a session quits, temporary tables related to the user operation are automatically deleted. Manual deletion of temporary files is not recommended.</p>
+<p id="mrs_01_2024__ae93e02a2aebe4bbe9a004c6272b999f3">When deleting temporary files, use the same priority as that for query. The priorities are temporary Spark table, temporary Hive table, and permanent Hive table ranging from high to low. If you want to directly delete Hive tables but not temporary Spark tables, you can directly use the <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_2024__cbe652b063a5747e49191260f1e442ff4">drop table DbName.TableName</span></b></i> command.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2022.html">Spark SQL and DataFrame</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2025.html b/docs/mrs/component-operation-guide/mrs_01_2025.html
new file mode 100644
index 000000000..4ba7e51ee
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2025.html
@@ -0,0 +1,17 @@
+<a name="mrs_01_2025"></a><a name="mrs_01_2025"></a>
+
+<h1 class="topictitle1">How to Assign a Parameter Value in a Spark Command?</h1>
+<div id="body1595920220420"><div class="section" id="mrs_01_2025__s55fad1d7c11d4e4e8b3f259564db9ec8"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2025__a3be4aa975ecb4a57ae4ef43a34c75936">Is it possible to assign parameter values through Spark commands, in addition to through a user interface or a configuration file?</p>
+</div>
+<div class="section" id="mrs_01_2025__se14fda3442194e248686a55c12c49574"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2025__a46012f41e4ac4749b5d2d73392fcc5b2">Spark configuration options can be defined either in a configuration file or in Spark commands.</p>
+<p id="mrs_01_2025__ab99e492c08354a88840bc63e655758c3">To assign a parameter value, run the --conf command on a Spark client. The parameter value takes effect immediately after the command is run.</p>
+<p id="mrs_01_2025__a3adddb6577e8440283deeb7d79d26085">The command format is --conf + parameter name + parameter value. Example command:</p>
+<p id="mrs_01_2025__afdbafe2b4910431e878ba837c36ccca0">--conf spark.eventQueue.size=50000</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2022.html">Spark SQL and DataFrame</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2026.html b/docs/mrs/component-operation-guide/mrs_01_2026.html
new file mode 100644
index 000000000..2058f1bb2
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2026.html
@@ -0,0 +1,39 @@
+<a name="mrs_01_2026"></a><a name="mrs_01_2026"></a>
+
+<h1 class="topictitle1">What Directory Permissions Do I Need to Create a Table Using SparkSQL?</h1>
+<div id="body1595920220421"><div class="section" id="mrs_01_2026__s86e1d6a6bbb040ebb52a8e7e0b058720"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2026__a3e890b5ef6bb4503866e06e7a5e3bd28">The following error information is displayed when a new user creates a table using SparkSQL:</p>
+<pre class="screen" id="mrs_01_2026__sc91213f6c67d4478b492f4d1709cd9cb">0: jdbc:hive2://192.168.169.84:22550/default&gt; create table testACL(c string);
+Error: org.apache.spark.sql.execution.QueryExecutionException: FAILED: Execution Error, return code 1 from 
+org.apache.hadoop.hive.ql.exec.DDLTask. MetaException(message:Got exception: org.apache.hadoop.security.AccessControlException 
+Permission denied: user=testACL, access=EXECUTE, inode="/user/hive/warehouse/testacl":spark:hadoop:drwxrwx---
+    at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkAccessAcl(FSPermissionChecker.java:403)
+    at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.check(FSPermissionChecker.java:306)
+    at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkTraverse(FSPermissionChecker.java:259)
+    at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java:205)
+    at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java:190)
+    at org.apache.hadoop.hdfs.server.namenode.FSDirectory.checkPermission(FSDirectory.java:1710)
+    at org.apache.hadoop.hdfs.server.namenode.FSDirStatAndListingOp.getFileInfo(FSDirStatAndListingOp.java:109)
+    at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getFileInfo(FSNamesystem.java:3762)
+    at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.getFileInfo(NameNodeRpcServer.java:1014)
+    at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.getFileInfo(ClientNamenodeProtocolServerSideTranslatorPB.java:853)
+    at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
+    at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:616)
+    at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:973)
+    at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2089)
+    at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2085)
+    at java.security.AccessController.doPrivileged(Native Method)
+    at javax.security.auth.Subject.doAs(Subject.java:422)
+    at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1675)
+    at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2083)
+) (state=,code=0)</pre>
+</div>
+<div class="section" id="mrs_01_2026__s48370ac7288a4bdca63033ea13225608"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2026__ad818281a91e8403eafac8bfc8b0695a5">When you create a table using Spark SQL, the interface of Hive is called by the underlying system and a directory named after the table will be created in the <span class="filepath" id="mrs_01_2026__fa533aa19fb8b476bb23e4a8349ff25f1"><b>/user/hive/warehouse</b></span> directory. Therefore, you must have the permissions to read, write, and execute the <span class="filepath" id="mrs_01_2026__f42ebef2e36774bacb9e30d15382c0c3e"><b>/user/hive/warehouse</b></span> directory or the group permission of Hive.</p>
+<p id="mrs_01_2026__a4fa2e6169dfa46e6902297b44ad98fa3">The<span class="filepath" id="mrs_01_2026__fea509ba079f149a59b5b550ba973dccb"><b>/user/hive/warehouse</b></span> is specified by the hive.metastore.warehouse.dir parameter.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2022.html">Spark SQL and DataFrame</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2027.html b/docs/mrs/component-operation-guide/mrs_01_2027.html
new file mode 100644
index 000000000..ba8b0df19
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2027.html
@@ -0,0 +1,21 @@
+<a name="mrs_01_2027"></a><a name="mrs_01_2027"></a>
+
+<h1 class="topictitle1">Why Do I Fail to Delete the UDF Using Another Service?</h1>
+<div id="body1595920220609"><div class="section" id="mrs_01_2027__s4f96710600e246a3bc66831c593d9e50"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2027__a0c12bacfc506404cbac6ec56ede8b00c">Why do I fail to delete the UDF using another service, for example, delete the UDF created by Hive using Spark SQL.</p>
+</div>
+<div class="section" id="mrs_01_2027__s7ca44a54afb64ce792b7159cf4a2bcaf"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2027__a82614c584a3f479f931cb95a12872685">The UDF can be created using any of the following services:</p>
+<ol id="mrs_01_2027__o9872c3ba41504928a90c996ebf5ea003"><li id="mrs_01_2027__l6c3d36a1921e404bafb24a3ca9aad2f9">Hive client.</li><li id="mrs_01_2027__l4832956e2343448e9c8991ca6690b860">JDBCServer API. You can connect JDBCServer to Spark Beeline or JDBC client code, and run SQL statements to create the UDF.</li><li id="mrs_01_2027__l557c30de5f904f61ae92dd21541e2e8d">spark-sql.</li></ol>
+<p id="mrs_01_2027__a4fc55251d27843ddb714ba9746974299">The scenarios in which the UDF failed to be deleted may be as follows:</p>
+<ul id="mrs_01_2027__ua2b02b5eece142c4bc08af68837f6380"><li id="mrs_01_2027__l2246296afee4402ebbd834795fb3e9b4">If you use Spark Beeline to delete the UDF created by other services, you must restart the JDBCServer before the deletion. Otherwise, the deletion fails. If you use spark-sql to delete the UDF created by other services, you must restart the spark-sql before the deletion. Otherwise, the deletion fails.<p id="mrs_01_2027__a24a970d0fb4340b3b18cde8bdd696dfa"><a name="mrs_01_2027__l2246296afee4402ebbd834795fb3e9b4"></a><a name="l2246296afee4402ebbd834795fb3e9b4"></a>Cause: After the UDF is created, if the JDBCServer or the spark-sql has not been restarted, the newly created UDF will not be saved by the FunctionRegistry object in the thread where Spark locates. As a result, the UDF failed to be deleted.</p>
+<p id="mrs_01_2027__ab94f11bca1104239a67fcdd0bda16120">Solution: Restart the JDBCServer and spark-sql of the Spark client and delete the UDF.</p>
+</li><li id="mrs_01_2027__l5a54f0b9888f4a01a610cc977767ab9a">When creating UDF on the Hive client, the <b><span class="cmdname" id="mrs_01_2027__cmdname132001746122510">add jar</span></b> command (e.g. <b><span class="cmdname" id="mrs_01_2027__cmdname15602211241">add jar /opt/test/two_udfs.jar</span></b>) is used to add the <strong id="mrs_01_2027__ad3d7f593c88d4cf9adc8040723d9d2a5">.jar</strong> package instead of specifying the path of <strong id="mrs_01_2027__a35992ba8990046c3aa1b2d984cb23e08">.jar</strong> package in creating UDF statement. As a result, the <strong id="mrs_01_2027__a41883cad74ba4b869c36329f11b35bfb">ClassNotfound </strong>error occurs when you use other services to delete the UDF.<p id="mrs_01_2027__a0b8a7773325048c583ca5b847ac01bed">Cause: When you use a service to delete the UDF, the service will load the class that corresponds to the UDF to obtain the UDF. However, the <strong id="mrs_01_2027__a6e81e3b0f7ab4198817e8717f660297b">.jar</strong> package is added by the <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_2027__cee415823bd784e588b7d491d36230e05">add jar</span></b></i> command and jar package does not exist in the classpath of other services. As a result, the <strong id="mrs_01_2027__ad124276420f54f308e984d93cefa5083">ClassNotfound</strong> error occurs and the UDF failed to be deleted.</p>
+<p id="mrs_01_2027__aab79ff07744b468cb8bcf4e519fcc5fb">Solution: The UDF created using the preceding approach must be deleted using the same approach. No other approaches are allowed.</p>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2022.html">Spark SQL and DataFrame</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2028.html b/docs/mrs/component-operation-guide/mrs_01_2028.html
new file mode 100644
index 000000000..fdaedbe5e
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2028.html
@@ -0,0 +1,21 @@
+<a name="mrs_01_2028"></a><a name="mrs_01_2028"></a>
+
+<h1 class="topictitle1">Why Cannot I Query Newly Inserted Data in a Parquet Hive Table Using SparkSQL?</h1>
+<div id="body1595920220909"><div class="section" id="mrs_01_2028__sb1ba99a64cc84463b76110af8080c153"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2028__a303fca2d5c8844c29bbb9c22011c7d68">Why cannot I query newly inserted data in a parquet Hive table using SparkSQL? This problem occurs in the following scenarios:</p>
+<ol id="mrs_01_2028__o72072b474e2a4a5f9c9f70ee6c9cc0a7"><li id="mrs_01_2028__l07eac507509a46f1811ae999766bfad4">For partitioned tables and non-partitioned tables, after data is inserted on the Hive client, the latest inserted data cannot be queried using SparkSQL.</li><li id="mrs_01_2028__lcd49a55ae32c46939a7cb4285f30061b">After data is inserted into a partitioned table using SparkSQL, if the partition information remains unchanged, the newly inserted data cannot be queried using SparkSQL.</li></ol>
+</div>
+<div class="section" id="mrs_01_2028__s5b5e6bddff864438b05807cd538d57ec"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2028__a8c7bc5d670cf497d973c8a6bac69195a">To improve Spark performance, parquet metadata is cached. When the parquet table is updated by Hive or another means, the cached metadata remains unchanged, resulting in SparkSQL failing to query the newly inserted data.</p>
+<p id="mrs_01_2028__a324aa596f7784463b5e8942a7963cb42">For a parquet Hive partition table, if the partition information remains unchanged after data is inserted, the cached metadata is not updated. As a result, the newly inserted data cannot be queried by SparkSQL.</p>
+<p id="mrs_01_2028__a7e98547371a742a0818dcfbba9da38dc">To solve the query problem, update metadata before starting a Spark<span id="mrs_01_2028__p294cc1df9da24a38ba09e8afba962b45"> </span>SQL query.</p>
+<p id="mrs_01_2028__a056ff100a29f44b0bacb4065351b8e9b"><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_2028__c1255f1e9d1dc4a079e70a7205293198c">REFRESH TABLE table_name;</span></b></i></p>
+<p id="mrs_01_2028__a5046a8e8970d4ee5b89ddfde4a33b8dc"><i><span class="varname" id="mrs_01_2028__v39b941cf88ee46898b3103ea7cc205ca">table_name</span></i> indicates the name of the table to be updated. The table must exist. Otherwise, an error is reported.</p>
+<p id="mrs_01_2028__a0140f0b252394bca94563e548a5dca2f">When the query statement is executed, the latest inserted data can be obtained.</p>
+<p id="mrs_01_2028__a474b3754466644d3a310d974e2b714b8">For details, visit <a href="https://spark.apache.org/docs/3.1.1/sql-programming-guide.html#metadata-refreshing" target="_blank" rel="noopener noreferrer">https://spark.apache.org/docs/3.1.1/sql-programming-guide.html#metadata-refreshing</a>.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2022.html">Spark SQL and DataFrame</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2029.html b/docs/mrs/component-operation-guide/mrs_01_2029.html
new file mode 100644
index 000000000..6d44cff58
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2029.html
@@ -0,0 +1,19 @@
+<a name="mrs_01_2029"></a><a name="mrs_01_2029"></a>
+
+<h1 class="topictitle1">How to Use Cache Table?</h1>
+<div id="body1595920221124"><div class="section" id="mrs_01_2029__sc3df3b12bfc2403694bc4b4b954e50d9"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2029__acb88ed91a8984a1eaa36df8ba6ede77a">What is cache table used for? Which point should I pay attention to while using cache table?</p>
+</div>
+<div class="section" id="mrs_01_2029__sf8aa1e67b53841cfad9e7ee5fe1bd97e"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2029__a73da52e844ab43e39ccbd44d6c4d7707">Spark SQL caches tables into memory so that data can be directly read from memory instead of disks, reducing memory overhead due to disk reads.</p>
+<p id="mrs_01_2029__aac7dd4e8c31f46c6bc3ca6999e165479">Note that cached tables consume Executor's memory. This means that caching large or many tables compromises Executor's stability even if compressed storage has been used to reduce memory overhead as much as possible.</p>
+<p id="mrs_01_2029__a3a7303e50f124a08a4c0a8642ee6f217">If it is no longer necessary to accelerate data query by means of cache table, run the following command to uncache tables to free up memory:</p>
+<p id="mrs_01_2029__aed1d9b734dac4b1ea9664154419cc2a4"><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_2029__cc4039d329ec6450e9ce9e0b4600ae4b8">uncache table</span></b></i> <i><span class="varname" id="mrs_01_2029__v85341f40ac2048e4a7731b3f18571a68">table_name</span></i></p>
+<div class="note" id="mrs_01_2029__n8958bcf404e74fe8b6aa8f893cdb7e12"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2029__af6d3327e679c40c5b231f09c50672ba8">The Storage tab page of the Spark Driver user interface displays the cached tables.</p>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2022.html">Spark SQL and DataFrame</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2030.html b/docs/mrs/component-operation-guide/mrs_01_2030.html
new file mode 100644
index 000000000..29d0d4b64
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2030.html
@@ -0,0 +1,36 @@
+<a name="mrs_01_2030"></a><a name="mrs_01_2030"></a>
+
+<h1 class="topictitle1">Why Are Some Partitions Empty During Repartition?</h1>
+<div id="body1595920221125"><div class="section" id="mrs_01_2030__s6fca241061f5434981f06822030fb6fa"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2030__a7ab679355d9f4360a8c550253ae6581e">During the repartition operation, the number of blocks (<span class="parmname" id="mrs_01_2030__parmname26141708393529"><b>spark.sql.shuffle.partitions</b></span>) is set to 4,500, and the number of keys used by repartition exceeds 4,000. It is expected that data corresponding to different keys can be allocated to different partitions. However, only 2,000 partitions have data, and data corresponding to different keys is allocated to the same partition.</p>
+</div>
+<div class="section" id="mrs_01_2030__s69d8a52b22254013880517ed653e61b1"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2030__a1e3a738a4ba347489a07ecf031fea753">This is normal.</p>
+<p id="mrs_01_2030__aa94112854a8640c5b2ba3bc2aba377f1">The partition to which data is distributed is obtained by performing a modulo operation on hashcode of a key. Different hashcodes may have the same modulo result. In this case, data is distributed to the same partition, as a result, some partitions do not have data, and some partitions have data corresponding to multiple keys.</p>
+<p id="mrs_01_2030__abde1ab966f2b412a82360afec4c93491">You can adjust the value of <span class="parmname" id="mrs_01_2030__p5718ff97c51349d69b46f9426202d0b9"><b>spark.sql.shuffle.partitions</b></span> to adjust the cardinality during modulo operation and improve the unevenness of data blocks. After multiple verifications, it is found that the effect is good when the parameter is set to a prime number or an odd number.</p>
+<p id="mrs_01_2030__a3036d0345d9b4ac49e7f822a23eea31a">Configure the following parameters in the <strong id="mrs_01_2030__b210707998493529">spark-defaults.conf</strong> file on the Driver client.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2030__ta169487b849d46bc8e9383caf36c228b" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter Description</caption><thead align="left"><tr id="mrs_01_2030__r33329d34f3224d768c12a309b29f8fc5"><th align="left" class="cellrowborder" valign="top" width="33.589999999999996%" id="mcps1.3.2.6.2.4.1.1"><p id="mrs_01_2030__a85f334c2630d4ab493974f4291ba8e1e">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="37.9%" id="mcps1.3.2.6.2.4.1.2"><p id="mrs_01_2030__ae4ef405eae994542b3908055be8d55f2">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="28.51%" id="mcps1.3.2.6.2.4.1.3"><p id="mrs_01_2030__a8318828b751c43bcb2fabc39a6302cb5">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2030__rf9136fffabd747d882b5e6c00a29512f"><td class="cellrowborder" valign="top" width="33.589999999999996%" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_2030__a63bddec3a424424c95648237ccab07dd">spark.sql.shuffle.partitions</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.9%" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_2030__ab0c29d3ec56b4498a542500a08ed92a0">Number of shuffle data blocks during the shuffle operation.</p>
+</td>
+<td class="cellrowborder" valign="top" width="28.51%" headers="mcps1.3.2.6.2.4.1.3 "><p id="mrs_01_2030__a68066d157b7f429a9f6e49eb22c1821c">200</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2022.html">Spark SQL and DataFrame</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2031.html b/docs/mrs/component-operation-guide/mrs_01_2031.html
new file mode 100644
index 000000000..8a96e15a6
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2031.html
@@ -0,0 +1,103 @@
+<a name="mrs_01_2031"></a><a name="mrs_01_2031"></a>
+
+<h1 class="topictitle1">Why Does 16 Terabytes of Text Data Fails to Be Converted into 4 Terabytes of Parquet Data?</h1>
+<div id="body1595920221127"><div class="section" id="mrs_01_2031__s100984b7ce93405dbe1993c70bf348ed"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2031__a8a5d0c0812bc4f5cb0bf570f3da41f0d">When the default configuration is used, 16 terabytes of text data fails to be converted into 4 terabytes of parquet data, and the error information below is displayed. Why?</p>
+<pre class="screen" id="mrs_01_2031__sdf0849c90a184d8b93a4358435258341">Job aborted due to stage failure: Task 2866 in stage 11.0 failed 4 times, most recent failure: Lost task 2866.6 in stage 11.0 (TID 54863, linux-161, 2): java.io.IOException: Failed to connect to /10.16.1.11:23124
+at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:214)
+at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:167)
+at org.apache.spark.network.netty.NettyBlockTransferService$$anon$1.createAndStart(NettyBlockTransferService.scala:92)</pre>
+<p id="mrs_01_2031__aa6b361cc649347ccaf73cdf041796fcd"><a href="#mrs_01_2031__t11c6ce9d45ea4d69a81893e1f90f35cc">Table 1</a> lists the default configuration.</p>
+
+<div class="tablenoborder"><a name="mrs_01_2031__t11c6ce9d45ea4d69a81893e1f90f35cc"></a><a name="t11c6ce9d45ea4d69a81893e1f90f35cc"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2031__t11c6ce9d45ea4d69a81893e1f90f35cc" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter Description</caption><thead align="left"><tr id="mrs_01_2031__r495821a1e8bf4cb7b8a2e95e4b20118d"><th align="left" class="cellrowborder" valign="top" width="31.4%" id="mcps1.3.1.5.2.4.1.1"><p id="mrs_01_2031__a27fc00d6625e400082959e665f120b7e">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="48.86%" id="mcps1.3.1.5.2.4.1.2"><p id="mrs_01_2031__ab11d95672135438dbd518a013a2fe7fa">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="19.74%" id="mcps1.3.1.5.2.4.1.3"><p id="mrs_01_2031__a8d2f21b49c9343b0b65a3ffaeed31a29">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2031__rd1d7d5145aa3442088536b37319273b4"><td class="cellrowborder" valign="top" width="31.4%" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_2031__a534f31173eb647aba170de81842069ec">spark.sql.shuffle.partitions</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.86%" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_2031__a0a19682fa8c445a4b318fe16706ff371">Number of shuffle data blocks during the shuffle operation.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.74%" headers="mcps1.3.1.5.2.4.1.3 "><p id="mrs_01_2031__a2dd117726fee4405b8977f2bf177948f">200</p>
+</td>
+</tr>
+<tr id="mrs_01_2031__r762e1e8149944c7bbd062f33cc3ad324"><td class="cellrowborder" valign="top" width="31.4%" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_2031__a7db34485dda6438cbf6a890423881baf">spark.shuffle.sasl.timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.86%" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_2031__ad70534097e834c7ba27541af9a0d28a0">Timeout interval of SASL authentication for the shuffle operation. Unit: second</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.74%" headers="mcps1.3.1.5.2.4.1.3 "><p id="mrs_01_2031__aea98210aad894fc1921474fe7181ad08">120s</p>
+</td>
+</tr>
+<tr id="mrs_01_2031__r93f327468e3e4e7986cb5f404a815f55"><td class="cellrowborder" valign="top" width="31.4%" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_2031__a9bd95bdeba764a7eb169f9b89223f969">spark.shuffle.io.connectionTimeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.86%" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_2031__a845725023b164c8c965e5b8c4a2f7126">Timeout interval for connecting to a remote node during the shuffle operation. Unit: second</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.74%" headers="mcps1.3.1.5.2.4.1.3 "><p id="mrs_01_2031__a1dc4927677aa485c94f835f501b25f6d">120s</p>
+</td>
+</tr>
+<tr id="mrs_01_2031__r8139e5d658a142c7a650bc55ad55b116"><td class="cellrowborder" valign="top" width="31.4%" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_2031__aa32d8a76e8b7408ebb2c2ace7cd2d56c">spark.network.timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="48.86%" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_2031__a14870bb21aa340a68f8a327d58c32ae3">Timeout interval for all network connection operations. Unit: second</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.74%" headers="mcps1.3.1.5.2.4.1.3 "><p id="mrs_01_2031__a7b114de4b7ac4513b6afdda3be8358ac">360s</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_2031__sa20d9b7920074ce4b3415205285205c4"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2031__a8b6bae27aff343e0af81e5b364dffa4b">The current data volume is 16 TB, but the number of partitions is only 200. As a result, each task is overloaded and the preceding problem occurs.</p>
+<p id="mrs_01_2031__a8df501a5f8ef4a44b8dfbe9a08cefc14">To solve the preceding problem, you need to adjust the parameters.</p>
+<ul id="mrs_01_2031__u79627f6b11884c05aea91f603fe8d170"><li id="mrs_01_2031__l39da046a92d441e796656b334788d93c">Increase the number of partitions to divide the task into smaller ones.</li><li id="mrs_01_2031__ld6652072c621475a8f48307ef5a7c514">Increase the timeout interval during task execution.</li></ul>
+</div>
+<p id="mrs_01_2031__a42e941072fb14c65845529e65758b87a">Configure the following parameters in the <span class="filepath" id="mrs_01_2031__filepath9592136202613"><b>spark-defaults.conf</b></span> file on the client:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2031__tb2a0df6c550745648f13104eb6e0eef0" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Parameter Description</caption><thead align="left"><tr id="mrs_01_2031__rfc083680c7244d5bb2e6ffac0c149a44"><th align="left" class="cellrowborder" valign="top" width="39.756024397560246%" id="mcps1.3.4.2.4.1.1"><p id="mrs_01_2031__affce9dc62cf44d429ca61ee1d3200bbb">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="40.29597040295971%" id="mcps1.3.4.2.4.1.2"><p id="mrs_01_2031__a3a9666e0e147433c916c71e1afe15b89">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="19.948005199480054%" id="mcps1.3.4.2.4.1.3"><p id="mrs_01_2031__ad3b01c2056df40d3a4a103068da095db">Recommended Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2031__r1260657ff3534fc49971bb4836ad1c6f"><td class="cellrowborder" valign="top" width="39.756024397560246%" headers="mcps1.3.4.2.4.1.1 "><p id="mrs_01_2031__aaff2cbcc9b1d4a46909750c8335535aa">spark.sql.shuffle.partitions</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.29597040295971%" headers="mcps1.3.4.2.4.1.2 "><p id="mrs_01_2031__aaa18f3739e5b437e86c1a1aacac59d25">Number of shuffle data blocks during the shuffle operation.</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.948005199480054%" headers="mcps1.3.4.2.4.1.3 "><p id="mrs_01_2031__a3148fc51bf444e33816445403e23403d">4501</p>
+</td>
+</tr>
+<tr id="mrs_01_2031__r11cb34476df24943a737147ee485c692"><td class="cellrowborder" valign="top" width="39.756024397560246%" headers="mcps1.3.4.2.4.1.1 "><p id="mrs_01_2031__a70ebe2fe188f4790b3a2836bfe53a81c">spark.shuffle.sasl.timeout</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.29597040295971%" headers="mcps1.3.4.2.4.1.2 "><p id="mrs_01_2031__ac71b68e3e9f04c5f91b402a2acc086e6">Timeout interval of SASL authentication for the shuffle operation. Unit: second</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.948005199480054%" headers="mcps1.3.4.2.4.1.3 "><p id="mrs_01_2031__a72345ba79f2a4a59862beb0d45da10cc">2000s</p>
+</td>
+</tr>
+<tr id="mrs_01_2031__re2939edc470e43ef81d4bf735741434a"><td class="cellrowborder" valign="top" width="39.756024397560246%" headers="mcps1.3.4.2.4.1.1 "><p id="mrs_01_2031__aa90825928c864e5fa4aca36b3eeaf1b5"><span id="mrs_01_2031__p2217717fee914b26bafc24ded2087e9a">spark.shuffle.io.connectionTimeout</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="40.29597040295971%" headers="mcps1.3.4.2.4.1.2 "><p id="mrs_01_2031__a8bb0bb3d716c41e385a9b38062aa60f1">Timeout interval for connecting to a remote node during the shuffle operation. Unit: second</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.948005199480054%" headers="mcps1.3.4.2.4.1.3 "><p id="mrs_01_2031__accc857c2957d41368e67008d82bfee01">3000s</p>
+</td>
+</tr>
+<tr id="mrs_01_2031__r57f35c358a1b43c194ecd2477d9160e5"><td class="cellrowborder" valign="top" width="39.756024397560246%" headers="mcps1.3.4.2.4.1.1 "><p id="mrs_01_2031__ae1c570265b7e412686a47c916e9a7167"><span id="mrs_01_2031__pa3527ac3e7ff4a059a909fae44d27cf5">spark.network.timeout</span></p>
+</td>
+<td class="cellrowborder" valign="top" width="40.29597040295971%" headers="mcps1.3.4.2.4.1.2 "><p id="mrs_01_2031__a4f7115d85534487390dc6c1086f3a41f">Timeout interval for all network connection operations. Unit: second</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.948005199480054%" headers="mcps1.3.4.2.4.1.3 "><p id="mrs_01_2031__a3459b35dc7aa451b9782adb849674d8b">360s</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_2031__a9fad2560a194483ea0060439e8682097"></p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2022.html">Spark SQL and DataFrame</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2033.html b/docs/mrs/component-operation-guide/mrs_01_2033.html
new file mode 100644
index 000000000..4c9614c99
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2033.html
@@ -0,0 +1,21 @@
+<a name="mrs_01_2033"></a><a name="mrs_01_2033"></a>
+
+<h1 class="topictitle1">Why the Operation Fails When the Table Name Is TABLE?</h1>
+<div id="body1595920221400"><div class="section" id="mrs_01_2033__sb7d82e1639b444a5877309da933aa5de"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2033__a581a687d35a24d8a835f8efaad552a8d">When the table name is set to <strong id="mrs_01_2033__a12746c1a09f445da95eb0c6d489f61e7">table</strong>, why the error information similar to the following is displayed after the <b><span class="cmdname" id="mrs_01_2033__cmdname174203283232">drop table table</span></b> command or other command is run?</p>
+<pre class="screen" id="mrs_01_2033__s44069186ec614232accd7f399c7713bf">16/07/12 18:56:29 ERROR SparkSQLDriver: Failed in [drop table table]
+java.lang.RuntimeException: [1.1] failure: identifier expected
+table
+^
+at scala.sys.package$.error(package.scala:27)
+at org.apache.spark.sql.catalyst.SqlParserTrait$class.parseTableIdentifier(SqlParser.scala:56)
+at org.apache.spark.sql.catalyst.SqlParser$.parseTableIdentifier(SqlParser.scala:485)</pre>
+</div>
+<div class="section" id="mrs_01_2033__sca6e8b6950dd4509ac930e5a6feaeaaa"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2033__a1363c3f9b07742a083142b2beed8adda">The word table is a keyword of Spark SQL statements and must not be used as a table name.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2022.html">Spark SQL and DataFrame</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2034.html b/docs/mrs/component-operation-guide/mrs_01_2034.html
new file mode 100644
index 000000000..9f94032ce
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2034.html
@@ -0,0 +1,26 @@
+<a name="mrs_01_2034"></a><a name="mrs_01_2034"></a>
+
+<h1 class="topictitle1">Why Is a Task Suspended When the ANALYZE TABLE Statement Is Executed and Resources Are Insufficient?</h1>
+<div id="body1595920221841"><div class="section" id="mrs_01_2034__s185b515f46134c85bc37ec3c5a176ce5"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2034__a3794b038efb5457a9b04ea6ee3d337d9">When the <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_2034__cmdname177383410279">analyze table</span></b></i> statement is executed using spark-sql, the task is suspended and the information below is displayed. Why?</p>
+<pre class="screen" id="mrs_01_2034__se3c7e676830548579ab77c8af0240671">spark-sql&gt; analyze table hivetable2 compute statistics;
+Query ID = root_20160716174218_90f55869-000a-40b4-a908-533f63866fed
+Total jobs = 1
+Launching Job 1 out of 1
+Number of reduce tasks is set to 0 since there's no reduce operator
+16/07/20 17:40:56 WARN JobResourceUploader: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
+Starting Job = job_1468982600676_0002, Tracking URL = http://10-120-175-107:8088/proxy/application_1468982600676_0002/
+Kill Command = /opt/hadoopclient/HDFS/hadoop/bin/hadoop job  -kill job_1468982600676_0002</pre>
+</div>
+<div class="section" id="mrs_01_2034__s6350699b9f8c46279effa3011b5ba830"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2034__a68d03769c1534ae5b652394763907703">When the statement is executed, the SQL statement starts the <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_2034__cmdname6958184782719">analyze table hivetable2 compute statistics</span></b></i> MapReduce tasks. On the ResourceManager Web UI of Yarn, the task is not executed due to insufficient resources. As a result, the task is suspended.</p>
+<div class="fignone" id="mrs_01_2034__fig2992172914451"><span class="figcap"><b>Figure 1 </b>ResourceManager Web UI</span><br><span><img id="mrs_01_2034__image193461717204511" src="en-us_image_0000001388066504.png"></span></div>
+</div>
+<p id="mrs_01_2034__ae8fbdf37992843688e77447e982bc6d8">You are advised to add <strong id="mrs_01_2034__b187562175493055">noscan</strong> when running the <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_2034__cmdname1015133372912">analyze table</span></b></i> statement. The function of this statement is the same as that of the <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_2034__cmdname3951243142919">analyze table hivetable2 compute statistics</span></b></i> statement. The command is as follows:</p>
+<pre class="screen" id="mrs_01_2034__s83ebeb307c3d42c6998d9c60d1ebe2d4">spark-sql&gt; analyze table hivetable2 compute statistics noscan</pre>
+<p id="mrs_01_2034__aa50cf387b7aa4447877968ef8fff7e10">This command does not start MapReduce tasks and does not occupy Yarn resources. Therefore, the tasks can be executed.</p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2022.html">Spark SQL and DataFrame</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2035.html b/docs/mrs/component-operation-guide/mrs_01_2035.html
new file mode 100644
index 000000000..05096632b
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2035.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_2035"></a><a name="mrs_01_2035"></a>
+
+<h1 class="topictitle1">If I Access a parquet Table on Which I Do not Have Permission, Why a Job Is Run Before "Missing Privileges" Is Displayed?</h1>
+<div id="body1595920221842"><div class="section" id="mrs_01_2035__s9996033cf96548dc91a4723962d31e98"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2035__ae8702a27a6874496861bf7cb028a67a6">If I access a parquet table on which I do not have permission, why a job is run before "Missing Privileges" is displayed?</p>
+</div>
+<div class="section" id="mrs_01_2035__s3d826fb8a5984f94934088e4cff7591a"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2035__a71a047d3f1b04f4db3eca481815f96cc">The execution sequence of Spark SQL statement parse the table in the statement first, then obtain the metadata in the table, and finally check the permission.</p>
+<p id="mrs_01_2035__ace46ec745fdc464e8d2137741db97e26">The metadata of a parquet table contains the Split information (which is read by HDFS API) about files. If the table contains many files, the HDFS API reads data in serial mode, in which degrades the performance. If the number of files in the table exceeds the threshold <i><span class="varname" id="mrs_01_2035__v4fed18da42d841408ded5042af03bf5d">spark.sql.sources.parallelSplitDiscovery.threshold</span></i>, a job will be generated to use Executor to read the data in parallel mode.</p>
+<p id="mrs_01_2035__a2a4f0464896e4c0584294a2e66ba6950">The permission authentication is executed after the metadata is obtained. Therefore, when the number of files in the table exceeds the threshold, a job is run before the permission authentication error message <span class="uicontrol" id="mrs_01_2035__u627d81601d8f4767a5b3dd6a506eef6b"><b>Missing Privileges</b></span>.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2022.html">Spark SQL and DataFrame</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2036.html b/docs/mrs/component-operation-guide/mrs_01_2036.html
new file mode 100644
index 000000000..b87dbab47
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2036.html
@@ -0,0 +1,14 @@
+<a name="mrs_01_2036"></a><a name="mrs_01_2036"></a>
+
+<h1 class="topictitle1">Why Do I Fail to Modify MetaData by Running the Hive Command?</h1>
+<div id="body1595920221843"><div class="section" id="mrs_01_2036__s41a466f711d249df9c5005de8bffdc63"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2036__abb5335ffd09647a180b04c23162d2688">When do I fail to modify the metadata in the datasource and Spark on HBase table by running the Hive command?</p>
+</div>
+<div class="section" id="mrs_01_2036__s81994c2b1e6e460d96e7c8bd3d97011f"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2036__a1698c4bd1b4944c59fa3d9ca408052f6">The current Spark version does not support modifying the metadata in the datasource and Spark on HBase tables by running the Hive command.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2022.html">Spark SQL and DataFrame</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2037.html b/docs/mrs/component-operation-guide/mrs_01_2037.html
new file mode 100644
index 000000000..8f6fb5512
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2037.html
@@ -0,0 +1,17 @@
+<a name="mrs_01_2037"></a><a name="mrs_01_2037"></a>
+
+<h1 class="topictitle1">Why Is "RejectedExecutionException" Displayed When I Exit Spark SQL?</h1>
+<div id="body1595920221845"><div class="section" id="mrs_01_2037__s5166f26043214b29b04bd74605927e3b"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2037__ad23bea19e51c46ccbfbb53000f963e73">After successfully running Spark tasks with large data volume, for example, 2-TB TPCDS test suite, why is the abnormal stack information <span class="uicontrol" id="mrs_01_2037__ud29db7b8b3004467886e5b044f31bd01"><b>"RejectedExecutionException"</b></span> displayed sometimes? The log is as follows:</p>
+<pre class="screen" id="mrs_01_2037__s23f3b2bc95174f9aa72e05a3030b7178">16/07/16 10:19:56 ERROR TransportResponseHandler: Still have 2 requests outstanding when connection from linux-192/10.1.1.5:59250 is closed
+java.util.concurrent.RejectedExecutionException: Task scala.concurrent.impl.CallbackRunnable@5fc1ab rejected from java.util.concurrent.ThreadPoolExecutor@52fa7e19[Terminated, pool size = 0, active threads = 0, queued tasks = 0, completed tasks = 3025]</pre>
+</div>
+<div class="section" id="mrs_01_2037__s30b0de0fe1964d1799c667adff94f1a4"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2037__a9dbe7bb8b37243708af4d54d350363e7">When Spark SQL is closed, the application and the message channel are closed. If there are unprocessed messages, the connection should be closed to rectify the exception. If the thread pool inside Scala is closed, the abnormal stack information "RejectedExecutionException" is displayed. This abnormal stack information will not be displayed if the thread pool inside Scala is not closed.</p>
+<p id="mrs_01_2037__a84204717fd30409d8cc32744d4e6b2af">The error occurs when the application is successfully run and closed. Therefore, the error will not affect the services.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2022.html">Spark SQL and DataFrame</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2038.html b/docs/mrs/component-operation-guide/mrs_01_2038.html
new file mode 100644
index 000000000..66852ad6a
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2038.html
@@ -0,0 +1,15 @@
+<a name="mrs_01_2038"></a><a name="mrs_01_2038"></a>
+
+<h1 class="topictitle1">What Should I Do If the JDBCServer Process is Mistakenly Killed During a Health Check?</h1>
+<div id="body1595920222081"><div class="section" id="mrs_01_2038__s094da4337e264ab3b409a6f1a4a04177"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2038__a4bcf5d638d3c48d1985d764734ea19b5">During a health check, if the concurrent statements exceed the threshold of the thread pool, the health check statements fail to be executed, the health check program times out, and the Spark JDBCServer process is killed.</p>
+</div>
+<div class="section" id="mrs_01_2038__sd7154bcda03a4f78abd3f69e292caca5"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2038__a6b1930a8f2c349bfa2cd85b9387d3601">There are two thread poolsHiveServer2-Handler-Pool and HiveServer2-Background-Pool in the current JDBCServer. The HiveServer2-Handler-Pool is used to connect sessions and the HiveServer2-Background-Pool is used to run Spark SQL statements.</p>
+<p id="mrs_01_2038__af3bb703a2c8c4dfa80015ff48a492d83">The current health check mechanism establishes a session connection and runs the health check command <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_2038__cc40107d6508944de83ba5aefa3c4959d">HEALTHCHECK</span></b></i> in the thread of the session to check the health condition of the Spark JDBCServer. Therefore, one thread must be reserved for the HiveServer2-Handler-Pool respectively to connect sessions and run statements for the health check. Otherwise, the session connection and statement running will fail and the Spark JDBCServer will be killed because it is mistakenly considered unhealthy. For example, if there are 100 threads in the HiveServer2-Handler-Pool respectively, a maximum of 99 sessions can be connected.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2022.html">Spark SQL and DataFrame</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2039.html b/docs/mrs/component-operation-guide/mrs_01_2039.html
new file mode 100644
index 000000000..9de0c0296
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2039.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_2039"></a><a name="mrs_01_2039"></a>
+
+<h1 class="topictitle1">Why No Result Is found When 2016-6-30 Is Set in the Date Field as the Filter Condition?</h1>
+<div id="body1595920222329"><div class="section" id="mrs_01_2039__s90b3dff030b64866ad9a2ce2ec9670d6"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2039__a7e83217d29864dd3bdddb39b82071687">Why no result is found when 2016-6-30 is set in the date field as the filter condition?</p>
+<p id="mrs_01_2039__a7979adb558314c5ab87c499548953786">As shown in the following figure, trx_dte_par in the select count (*) from trxfintrx2012 a where trx_dte_par='2016-6-30' statement is a date field. However, no search result is found when the filter condition is where trx_dte_par='2016-6-30'. Search results are found only when the filter condition is where trx_dte_par='2016-06-30'.</p>
+</div>
+<div class="fignone" id="mrs_01_2039__fde438422046a47d7ab7211d96fc7ff31"><span class="figcap"><b>Figure 1 </b>Example</span><br><span><img id="mrs_01_2039__ifc27461f28f94330bf3493ab7a0ceb15" src="en-us_image_0000001348771241.jpg"></span></div>
+<div class="section" id="mrs_01_2039__s25657ab55aff46e685c86686bc42ff45"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2039__a503bc4dc71324fb49c8769c1746fb0d2">If a data string of the date type is present in Spark SQL statements, the Spark SQL will search the matching character string without checking the date format. In this case, if the date format in the SQL statement is incorrect, the query will fail. For example, if the data format is yyyy-mm-dd, then no search results matching '2016-6-30' will be found.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2022.html">Spark SQL and DataFrame</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2040.html b/docs/mrs/component-operation-guide/mrs_01_2040.html
new file mode 100644
index 000000000..7c05f6d52
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2040.html
@@ -0,0 +1,18 @@
+<a name="mrs_01_2040"></a><a name="mrs_01_2040"></a>
+
+<h1 class="topictitle1">Why Does the "--hivevar" Option I Specified in the Command for Starting spark-beeline Fail to Take Effect?</h1>
+<div id="body1595920222653"><div class="section" id="mrs_01_2040__se1d7b6d8521741fa856cfd07577495c7"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2040__a5785405f7cb04b40a67dcf2473958fa3">Why does the <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_2040__cdbeac002e4ed4cb081d906c36a4b0717">--hivevar</span></b></i><strong id="mrs_01_2040__abfdc171327064f2bb0591ea3ac453d43"> </strong>option I specified in the command for starting spark-beeline fail to take effect?</p>
+<p id="mrs_01_2040__a1224c4553a5246209341c98c724f18b6">In the V100R002C60 version, if I use the <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_2040__c5cf2f05ca0274218ba30cc71f2160847">--hivevar &lt;VAR_NAME&gt;=&lt;var_value&gt;</span></b></i> option to define a variable in the command for starting spark-beeline, no error is reported in spark-beeline. However, if the variable <i><span class="varname" id="mrs_01_2040__vee97b7a6bd5940e8a110b03a17560983">&lt;VAR_NAME&gt;</span></i> is used in SQL, the variable cannot be parsed and the &lt;VAR_NAME&gt; exception is reported.</p>
+<p id="mrs_01_2040__a630f781bd4d44d7b80a415ba77c10e50">For example:</p>
+<ol id="mrs_01_2040__o1bda2ed8b7ba4d0a8f2c729dd0f56d6e"><li id="mrs_01_2040__l351c148935fd469ab3cd918034f407a3">Run the following command to start the spark-beeline:<p id="mrs_01_2040__a338602e73416488ab2df2e950a47dabb"><a name="mrs_01_2040__l351c148935fd469ab3cd918034f407a3"></a><a name="l351c148935fd469ab3cd918034f407a3"></a><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_2040__cf65d974a9c84416c90201b1c487895d5">spark-beeline --hivevar &lt;VAR_NAME&gt;=&lt;var_value&gt;</span></b></i></p>
+</li></ol><ol start="2" id="mrs_01_2040__od118835a9b484223a4e023b5ee6b2770"><li id="mrs_01_2040__lbace10f1dc3f471b81fdd06da61952af">After spark-beeline is started successfully, I run the SQL statements <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_2040__ced76c13b23df4fb288f4f4b5a2bd263d">DROP TABLE ${VAR_NAME}</span></b></i> in spark-beeline. The VAR_NAME exception occurs.</li></ol>
+</div>
+<div class="section" id="mrs_01_2040__sd10e0894f4f046569735fd25447e8c74"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2040__a625a63a511d243cf8836e848a564a1e4">In the V100R002C60 version, the <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_2040__cacc8fd18f7834d638c0fce8e12c1e216">--hivevar &lt;VAR_NAME&gt;=&lt;var_value&gt;</span></b></i> feature of Hive is not supported in Spark because multi-session management function is added. Therefore, the <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_2040__c7568e889448e423bbfa2dda396de7cb7">--hivevar</span></b></i> option in the command for starting spark-beeline is invalid.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2022.html">Spark SQL and DataFrame</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2041.html b/docs/mrs/component-operation-guide/mrs_01_2041.html
new file mode 100644
index 000000000..e2ce6fca7
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2041.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_2041"></a><a name="mrs_01_2041"></a>
+
+<h1 class="topictitle1">Why Does the "Permission denied" Exception Occur When I Create a Temporary Table or View in Spark-beeline?</h1>
+<div id="body1595920222655"><div class="section" id="mrs_01_2041__s0d98802bc243418f897c9136d4e21b82"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2041__acc63db8be7bc42069b19220a861f350c">In normal mode, when I create a temporary table or view in spark-beeline, the error message "Permission denied" is displayed, indicating that I have no permissions on the HDFS directory. The error log information is as follows:</p>
+<pre class="screen" id="mrs_01_2041__s0c0539a3f75844ec8719c606119c4c8d">org.apache.hadoop.security.AccessControlException Permission denied: user=root, access=EXECUTE, inode="/tmp/spark/sparkhive-scratch/omm/e579a76f-43ed-4014-8a54-1072c07ceeff/_tmp_space.db/52db1561-60b0-4e7d-8a25-c2eaa44850a9":omm:hadoop:drwx------</pre>
+</div>
+<div class="section" id="mrs_01_2041__s71abd3eaef2b4036b20f98ba2a81f386"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2041__ae70544e3b66e4b73b3a3aa7d62ee4913">In normal mode, if you run the spark-beeline command as a non-omm user, <strong id="mrs_01_2041__b103798750552337">root</strong> user for example, without specifying the <strong id="mrs_01_2041__b1510135718583">-n</strong> parameter, your account is still the root user. After spark-beeline is started, a new HDFS directory is created by JDBCServer. In the current version of DataSight, the user that starts the JDBCServer is <strong id="mrs_01_2041__b39557581752337">omm</strong>. In versions earlier than DataSight V100R002C30, the user is <strong id="mrs_01_2041__b150059767652337">root</strong>. Therefore, the owner of the HDFS directory is <strong id="mrs_01_2041__b152326489052337">omm</strong> and the group is <strong id="mrs_01_2041__b167432400552337">hadoop</strong>. The HDFS directory is used when you create a temporary table or view in spark-beeline and the user <strong id="mrs_01_2041__b84598505352337">root</strong> is a common user in HDFS and has no permissions on the directory of user <strong id="mrs_01_2041__b28420585252337">omm</strong>. As a result, the "Permission denied" exception occurs.</p>
+<p id="mrs_01_2041__a711557dd806f460b96851788b4014f29">In normal mode, only user <strong id="mrs_01_2041__b78253484852337">omm</strong> can create a temporary table or view. To solve this problem, you can specify the <strong id="mrs_01_2041__b95143329652337">-n omm</strong> option for user <strong id="mrs_01_2041__b131828644052337">omm</strong> when starting spark-beeline. In this way, you have the permissions to perform operations on the HDFS directory.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2022.html">Spark SQL and DataFrame</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2042.html b/docs/mrs/component-operation-guide/mrs_01_2042.html
new file mode 100644
index 000000000..7ca57fb20
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2042.html
@@ -0,0 +1,17 @@
+<a name="mrs_01_2042"></a><a name="mrs_01_2042"></a>
+
+<h1 class="topictitle1">Why Is the "Code of method ... grows beyond 64 KB" Error Message Displayed When I Run Complex SQL Statements?</h1>
+<div id="body1595920222656"><div class="section" id="mrs_01_2042__s51acc59d4cf742beaae58ec96651d018"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2042__aa36858a649ad48b381e0d0c4f8e83cdb">When I run a complex SQL statement, for example, SQL statements with multiple layers of nesting statements and a single layer statement contains a large number of logic clauses such as case when, an error message indicating that the code of a certain method exceeds 64 KB is displayed. The log is as follows:</p>
+<pre class="screen" id="mrs_01_2042__s112ea2a35ef6458090b4605c2039c701">java.util.concurrent.ExecutionException: java.lang.Exception: failed to compile: org.codehaus.janino.JaninoRuntimeException: Code of method "(Lorg/apache/spark/sql/catalyst/expressions/GeneratedClass$SpecificUnsafeProjection;Lorg/apache/spark/sql/catalyst/InternalRow;)V" of class "org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection" grows beyond 64 KB</pre>
+</div>
+<div class="section" id="mrs_01_2042__sb05b93701bf14ceca8f68383e6a7e2c0"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2042__a20493896040a429397ffc8f76bb24103">If Project Tungsten is enabled, Spark will use codegen method to generate Java code for part of execution plan. However, each function in Java code to be compiled by JDK must be less than 64 KB. If complex SQL statements are run, the function in the Java code generated by codegen may exceed 64 KB, causing compilation failure.</p>
+<p id="mrs_01_2042__a98c9c91e040644f48e5a3a251467f215">To solve the problem, go to the <span class="filepath" id="mrs_01_2042__fb2917f14a5ef48369e99daa63772b4ec"><b>spark-defaults.conf</b></span> file on the client and set the <span class="parmname" id="mrs_01_2042__pa3b50296f9684370827596439b793b16"><b>spark.sql.codegen.wholeStage</b></span> parameter to <span class="parmvalue" id="mrs_01_2042__pa010641060fd42c7a679191c319945ef"><b>false</b></span> to disable Project Tungsten.</p>
+<p id="mrs_01_2042__aed1354e5e3d64be994e49b9db0c3e6df"></p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2022.html">Spark SQL and DataFrame</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2043.html b/docs/mrs/component-operation-guide/mrs_01_2043.html
new file mode 100644
index 000000000..51bfb1e7a
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2043.html
@@ -0,0 +1,18 @@
+<a name="mrs_01_2043"></a><a name="mrs_01_2043"></a>
+
+<h1 class="topictitle1">Why Is Memory Insufficient if 10 Terabytes of TPCDS Test Suites Are Consecutively Run in Beeline/JDBCServer Mode?</h1>
+<div id="body1595920222661"><div class="section" id="mrs_01_2043__s37f28ed28f164da08b1dcb2457062784"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2043__a40f64b625f074fa69502558ee2b93add">When the driver memory is set to 10 GB and the 10 TB TPCDS test suites are continuously run in Beeline/JDBCServer mode, SQL statements fail to be executed due to insufficient driver memory. Why?</p>
+</div>
+<div class="section" id="mrs_01_2043__s4b606433dbb64cba86c36a5bd282303e"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2043__a94e9af52ffc04af3ab823402eb25fdc7">By default, 1000 UI data records of jobs and stages are reserved in the memory.</p>
+<p id="mrs_01_2043__a1cac649e9a4f4756b81d3f5671dc4d33">The function of overflowing UI data to disks has been added to optimize large clusters. The overflow condition is that the size of UI data in each stage reaches the minimum threshold 5 MB. If the number of tasks in each stage is small, the size of UI data in the stage may not reach the threshold. As a result, the UI data in the stage is cached in the memory until the number of UI data records reaches the upper limit (1000 by default). Only then the old UI data is cleared from the memory.</p>
+<p id="mrs_01_2043__a3bbbd5c0af284be4b8abe480ceb3631e">Therefore, before the old UI data is cleared, the UI data occupies a large amount of memory. As a result, the driver memory is insufficient when 10 terabytes of TPCDS test suites are executed.</p>
+<p id="mrs_01_2043__af52cebbd1d60486aa8c9fade617dbd8b">Workaround:</p>
+<ul id="mrs_01_2043__ufa8a399c1a684533ad7744a07efdea93"><li id="mrs_01_2043__lacd154d536f04820a3663a4a641a3b15">Set <span class="parmname" id="mrs_01_2043__parmname280984049112543"><b>spark.ui.retainedJobs</b></span> and <span class="parmname" id="mrs_01_2043__parmname1304332926112543"><b>spark.ui.retainedStages</b></span> based on service requirements to specify the number of UI data records of jobs and stages to be reserved. For details, see <a href="mrs_01_1931.html#mrs_01_1931__t681877b034a54c50a58b9e1864345ee4">Table 13</a> in <a href="mrs_01_1931.html">Common Parameters</a>.</li><li id="mrs_01_2043__l2bdb9ed8802949548c5d96f8af15fb79">If a large amount of UI data of jobs and stages needs to be reserved, increase the memory of the driver by setting the <span class="parmname" id="mrs_01_2043__peebdd22a61774a7aad7470bfb0adc49a"><b>spark.driver.memory</b></span> parameter. For details, see <a href="mrs_01_1931.html#mrs_01_1931__t846a81171d4c4af1908c5cf55578f022">Table 10</a> in <a href="mrs_01_1931.html">Common Parameters</a>.</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2022.html">Spark SQL and DataFrame</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2044.html b/docs/mrs/component-operation-guide/mrs_01_2044.html
new file mode 100644
index 000000000..0872da097
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2044.html
@@ -0,0 +1,25 @@
+<a name="mrs_01_2044"></a><a name="mrs_01_2044"></a>
+
+<h1 class="topictitle1">Why Are Some Functions Not Available when Another JDBCServer Is Connected?</h1>
+<div id="body1595920223290"><div class="section" id="mrs_01_2044__s5af1d99fb17c464e8cf3065bd9644f17"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2044__a0a9970131adc4a83984641254318b65a">Scenario 1</p>
+<p id="mrs_01_2044__a870010451205471f8439212e936c96f4">I set up permanent functions using the <strong id="mrs_01_2044__a512186e677e54c759c0c49161706ca13">add jar</strong> statement. After Beeline connects to different JDBCServer or&nbsp;&nbsp;JDBCServer is restarted, I have to run the <strong id="mrs_01_2044__a4001e68443964f36a2a583c7d965b4ea">add jar</strong> statement again.</p>
+<div class="fignone" id="mrs_01_2044__fig1260101417514"><span class="figcap"><b>Figure 1 </b>Error information in scenario 1</span><br><span><img id="mrs_01_2044__image166011218135012" src="en-us_image_0000001438709421.png"></span></div>
+<p id="mrs_01_2044__a4429a276f10d40ac83f5fc5c13ace402">Scenario 2</p>
+<p id="mrs_01_2044__ad3cd4d4e5e644542a32bb31accf7b197">The <strong id="mrs_01_2044__a4a6a529aa5d94fd7b4cf6daffc2de8ea">show functions</strong> statement can be used to query functions, but not obtain functions. The reason is that connected JDBC node does not contain jar packages of the corresponding path. However, after I add corresponding <strong id="mrs_01_2044__a51aa3c7a17eb4bcca81b1746f9956379">.jar</strong> packages, the <strong id="mrs_01_2044__a276c522f77b14bc3a3fbb255c2f36dd7">show functions</strong> statement can be used to obtain functions.</p>
+<div class="fignone" id="mrs_01_2044__fb7f62116b93f41d0be6bc23a35cc95ae"><span class="figcap"><b>Figure 2 </b>Error information in scenario 2</span><br><span><img id="mrs_01_2044__i379a450679e84a4eb3275c07f1943630" src="en-us_image_0000001349170953.png"></span></div>
+</div>
+<div class="section" id="mrs_01_2044__s7f057e5433244fbc8683343eaa9cbc70"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2044__a87f18f3813f34ab4b7472350b673a316">Scenario 1</p>
+<p id="mrs_01_2044__adc5c7232b58e41c696d556896e710781">The <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_2044__cd115da2d89444919a04e9975ec1dcb39">add jar</span></b></i> statement is used to load jars to the jarClassLoader of the JDBCServer connected currently. The <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_2044__c78652b489e0b4a198fc4e377cc18305e">add jar</span></b></i> statement is not shared by different JDBCServer. After the JDBCServer restarts, new jarClassLoader is created. So the add jar statement needs to be run again.</p>
+</div>
+<p id="mrs_01_2044__ac9df5423bb75452cbe92f843da1a28e0">There are two methods to add jar packages: You can run the <strong id="mrs_01_2044__b15621134842017">spark-sql --jars /opt/test/two_udfs.jar</strong> statement to add the jar package during the startup of the Spark SQL process; or run the <strong id="mrs_01_2044__b10608181861919">add jar /opt/test/two_udfs.jar</strong> statement to add the jar package after the Spark SQL process is started. Note that the path following the add jar statement can be a local path or an HDFS path.</p>
+<p id="mrs_01_2044__a35b976ef725c40bf929715d374faa28c">Scenario 2</p>
+<p id="mrs_01_2044__a4b554b50c420482c8b46b290351ba21c">The show functions statement is used to obtain all functions in the current database from the external catalog. If functions are used in SQL, thriftJDBC-server loads <strong id="mrs_01_2044__a6129f0e5d84b4f2892a90d00107fb555">.jar</strong> files related to the function.</p>
+<p id="mrs_01_2044__a4ca3889e0cc441c7869b52ec9edfb79d">If <strong id="mrs_01_2044__a59efa378a78746dd82a225755f408d17">.jar</strong> files do not exist, the function cannot obtain corresponding <strong id="mrs_01_2044__aba6a1767cad94af0a705c46defe05c5c">.jar</strong> files. Therefore, the corresponding <strong id="mrs_01_2044__a965de1dd8be3475b8fb890bb26c0da1d">.jar</strong> files need to be added.</p>
+<p id="mrs_01_2044__a31266bc8feaf4b69938eec47eecbb6c1"></p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2022.html">Spark SQL and DataFrame</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2046.html b/docs/mrs/component-operation-guide/mrs_01_2046.html
new file mode 100644
index 000000000..f58584e77
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2046.html
@@ -0,0 +1,17 @@
+<a name="mrs_01_2046"></a><a name="mrs_01_2046"></a>
+
+<h1 class="topictitle1">Why Does Spark2x Have No Access to DataSource Tables Created by Spark1.5?</h1>
+<div id="body1595920223602"><div class="section" id="mrs_01_2046__s89b65bfe79764d15883892a0ec14c6f5"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2046__a8d6f2284dde740e6a98f6629bff38b65">When Spark2x accesses the DataSource table created by Spark1.5, a message is displayed indicating that schema information cannot be obtained. As a result, the table cannot be accessed. Why?</p>
+</div>
+<div class="section" id="mrs_01_2046__sdf06c9f385b745f2a7cf8700ff9a723f"><h4 class="sectiontitle">Answer</h4><ul id="mrs_01_2046__uea8bc02ef7aa4630bbea2f0342d63740"><li id="mrs_01_2046__l89e2e2a024644504be7c7d42e75bc4b3">Cause analysis:<p id="mrs_01_2046__a61a67690cd5246c185e50d3d77c88289"><a name="mrs_01_2046__l89e2e2a024644504be7c7d42e75bc4b3"></a><a name="l89e2e2a024644504be7c7d42e75bc4b3"></a>This is because the formats of the DataSource table information stored in Spark2x and Spark1.5 are inconsistent. Spark 1.5 divides schema information into multiple parts and uses <strong id="mrs_01_2046__b48384817234343">path.park.0</strong> as the key for storage. Spark 1.5 reads information from each part and reassembles the information into complete one. Spark2x directly uses the corresponding key to obtain the corresponding information. In this case, when Spark2x reads the DataSource table created by Spark1.5, the information corresponding to the key cannot be read. As a result, the DataSource table information fails to be parsed.</p>
+<p id="mrs_01_2046__a001f4b92f55b452fa57552626711b4eb">When processing Hive tables, Spark2x and Spark1.5 use the same storage mode. Therefore, Spark2x can directly read tables created by Spark1.5.</p>
+</li><li id="mrs_01_2046__l3fc7dec95ea74c96aeb704eb3cea5268">Workaround:<p id="mrs_01_2046__aff17133c15e742f1bab2c873e22a807a"><a name="mrs_01_2046__l3fc7dec95ea74c96aeb704eb3cea5268"></a><a name="l3fc7dec95ea74c96aeb704eb3cea5268"></a>In Spark2x, create a foreign table to point to the actual data in the Spark1.5 table. In this way, the DataSource table created by Spark1.5 can be read in Spark2x. In addition, after Spark1.5 updates data, Spark2x can detect the change. The reverse is also true. In this way, Spark2x can access the DataSource table created by Spark1.5.</p>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2022.html">Spark SQL and DataFrame</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2047.html b/docs/mrs/component-operation-guide/mrs_01_2047.html
new file mode 100644
index 000000000..2a810423d
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2047.html
@@ -0,0 +1,54 @@
+<a name="mrs_01_2047"></a><a name="mrs_01_2047"></a>
+
+<h1 class="topictitle1">Why Does Spark-beeline Fail to Run and Error Message "Failed to create ThriftService instance" Is Displayed?</h1>
+<div id="body1595920223604"><div class="section" id="mrs_01_2047__s3ccd8da585424402ac5dc449b1e92b27"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2047__ae04359aa3f6c4c2f96a75393da3b60bf">Why does "Failed to create ThriftService instance" occur when spark beeline fails to run?</p>
+<p id="mrs_01_2047__a2454195228dd444eb1707f0d02ed26de">Beeline logs are as follows:</p>
+<pre class="screen" id="mrs_01_2047__sd4eff3b656344b42878c2e5c6840e8d3"><strong id="mrs_01_2047__af65dfae4c5bb441f89e09117b7ec20e3">Error: Failed to create ThriftService instance</strong> (state=,code=0)
+Beeline version 1.2.1.spark by Apache Hive
+[INFO] Unable to bind key for unsupported operation: backward-delete-word
+[INFO] Unable to bind key for unsupported operation: backward-delete-word
+[INFO] Unable to bind key for unsupported operation: down-history
+[INFO] Unable to bind key for unsupported operation: up-history
+[INFO] Unable to bind key for unsupported operation: up-history
+[INFO] Unable to bind key for unsupported operation: down-history
+[INFO] Unable to bind key for unsupported operation: up-history
+[INFO] Unable to bind key for unsupported operation: down-history
+[INFO] Unable to bind key for unsupported operation: up-history
+[INFO] Unable to bind key for unsupported operation: down-history
+[INFO] Unable to bind key for unsupported operation: up-history
+[INFO] Unable to bind key for unsupported operation: down-history
+beeline&gt; </pre>
+<p id="mrs_01_2047__a1eac513635e04230a485495397ed16cd">In addition, the "Timed out waiting for client to connect" error log is generated on the JDBCServer. The details are as follows:</p>
+<pre class="screen" id="mrs_01_2047__s3a8bd204376d42109af9cfe479cd44f2">2017-07-12 17:35:11,284 | INFO  | [main] | Will try to open client transport with JDBC Uri: jdbc:hive2://192.168.101.97:23040/default;principal=spark/hadoop.<em id="mrs_01_2047__i1954248201617">&lt;System domain name&gt;</em>@<em id="mrs_01_2047__i7651418182510">&lt;System domain name&gt;</em>;healthcheck=true;saslQop=auth-conf;auth=KERBEROS;user.principal=spark/hadoop.<em id="mrs_01_2047__i1733592912515">&lt;System domain name&gt;</em>@<em id="mrs_01_2047__i717833318252">&lt;System domain name&gt;</em>;user.keytab=${BIGDATA_HOME}/FusionInsight_HD_<span id="mrs_01_2047__text83952038113714">8.1.0.1</span>/install/FusionInsight-Spark-<span id="mrs_01_2047__text5563355171417">3.1.1</span>/keytab/spark/JDBCServer/spark.keytab | org.apache.hive.jdbc.HiveConnection.openTransport(HiveConnection.java:317)
+2017-07-12 17:35:11,326 | INFO  | [HiveServer2-Handler-Pool: Thread-92] | Client protocol version: HIVE_CLI_SERVICE_PROTOCOL_V8 | org.apache.proxy.service.ThriftCLIProxyService.OpenSession(ThriftCLIProxyService.java:554)
+2017-07-12 17:35:49,790 | ERROR | [HiveServer2-Handler-Pool: Thread-113] | <strong id="mrs_01_2047__a5cf24cff0d5f4f259538aa65ee23ecb0">Timed out waiting for client to connect</strong>.
+Possible reasons include network issues, errors in remote driver or the cluster has no available resources, etc.
+Please check YARN or Spark driver's logs for further information. | org.apache.proxy.service.client.SparkClientImpl.&lt;init&gt;(SparkClientImpl.java:90)
+java.util.concurrent.ExecutionException: java.util.concurrent.TimeoutException: <strong id="mrs_01_2047__aae07eb931e154982897138e5ea19f7a7">Timed out waiting for client connection</strong>.
+ at io.netty.util.concurrent.AbstractFuture.get(AbstractFuture.java:37)
+ at org.apache.proxy.service.client.SparkClientImpl.&lt;init&gt;(SparkClientImpl.java:87)
+ at org.apache.proxy.service.client.SparkClientFactory.createClient(SparkClientFactory.java:79)
+ at org.apache.proxy.service.SparkClientManager.createSparkClient(SparkClientManager.java:145)
+ at org.apache.proxy.service.SparkClientManager.createThriftServerInstance(SparkClientManager.java:160)
+ at org.apache.proxy.service.ThriftServiceManager.getOrCreateThriftServer(ThriftServiceManager.java:182)
+ at org.apache.proxy.service.ThriftCLIProxyService.OpenSession(ThriftCLIProxyService.java:596)
+ at org.apache.hive.service.cli.thrift.TCLIService$Processor$OpenSession.getResult(TCLIService.java:1257)
+ at org.apache.hive.service.cli.thrift.TCLIService$Processor$OpenSession.getResult(TCLIService.java:1242)
+ at org.apache.thrift.ProcessFunction.process(ProcessFunction.java:39)
+ at org.apache.thrift.TBaseProcessor.process(TBaseProcessor.java:39)
+ at org.apache.hadoop.hive.thrift.HadoopThriftAuthBridge$Server$TUGIAssumingProcessor.process(HadoopThriftAuthBridge.java:696)
+ at org.apache.thrift.server.TThreadPoolServer$WorkerProcess.run(TThreadPoolServer.java:286)
+ at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
+ at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
+ at java.lang.Thread.run(Thread.java:748)
+Caused by: java.util.concurrent.TimeoutException: Timed out waiting for client connection.</pre>
+</div>
+<div class="section" id="mrs_01_2047__s39fba2a02b4642809c6361d65d243eac"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2047__a4392eee52c9b4b029520726667112ee6">This problem occurs when the network is unstable. When a timed-out exception occurs in beeline, Spark does not attempt to reconnect to beeline. Therefore, you need to restart spark-beeline for reconnection.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2022.html">Spark SQL and DataFrame</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2048.html b/docs/mrs/component-operation-guide/mrs_01_2048.html
new file mode 100644
index 000000000..2c6307335
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2048.html
@@ -0,0 +1,27 @@
+<a name="mrs_01_2048"></a><a name="mrs_01_2048"></a>
+
+
+  <h1 class="topictitle1">Spark Streaming</h1>
+
+  <div id="body1595920223605"><p id="mrs_01_2048__a7aee2c3895624cecb212f208d9db1724"></p>
+</div>
+
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_2050.html">What Can I Do If Spark Streaming Tasks Are Blocked?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2051.html">What Should I Pay Attention to When Optimizing Spark Streaming Task Parameters?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2052.html">Why Does the Spark Streaming Application Fail to Be Submitted After the Token Validity Period Expires?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2053.html">Why does Spark Streaming Application Fail to Restart from Checkpoint When It Creates an Input Stream Without Output Logic?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2054.html">Why Is the Input Size Corresponding to Batch Time on the Web UI Set to 0 Records When Kafka Is Restarted During Spark Streaming Running?</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2002.html">Common Issues About Spark2x</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2050.html b/docs/mrs/component-operation-guide/mrs_01_2050.html
new file mode 100644
index 000000000..0364790ff
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2050.html
@@ -0,0 +1,21 @@
+<a name="mrs_01_2050"></a><a name="mrs_01_2050"></a>
+
+<h1 class="topictitle1">What Can I Do If Spark Streaming Tasks Are Blocked?</h1>
+<div id="body1595920224401"><div class="section" id="mrs_01_2050__s607c0e5a050a47e2b3fad40d650911ca"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2050__af1e6d6c53851453e97b6d65352dd6f72">After a Spark Streaming task is run and data is input, no processing result is displayed. Open the web page to view the Spark job execution status. The following figure shows that two jobs are waiting to be executed but cannot be executed successfully.</p>
+<div class="fignone" id="mrs_01_2050__f4bfff9246c4744c5b796657f0834fa67"><a name="mrs_01_2050__f4bfff9246c4744c5b796657f0834fa67"></a><a name="f4bfff9246c4744c5b796657f0834fa67"></a><span class="figcap"><b>Figure 1 </b>Active Jobs</span><br><span><img id="mrs_01_2050__i81978b4c61fb4f31a8e3a1146f2dbabe" src="en-us_image_0000001349289481.jpg"></span></div>
+<p id="mrs_01_2050__ac11ebeb41e5e48048a81ae18ef29cfbe">Check the completed jobs. Only two jobs are found, indicating that Spark Streaming does not trigger data computing tasks. (By default, Spark Streaming has two jobs that attempt to run. See the figure below.)</p>
+<div class="fignone" id="mrs_01_2050__f8efca7880cb84bd0b96ef6964dff1284"><span class="figcap"><b>Figure 2 </b>Completed Jobs</span><br><span><img id="mrs_01_2050__i7828b1e771a441c7a9e30b8e97438db0" src="en-us_image_0000001349090017.jpg"></span></div>
+</div>
+<div class="section" id="mrs_01_2050__sd579a64fd97b4d5cac5da6c2ddfd3bf0"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2050__ace11f81b7d784145ab510a4e71824645">After fault locating, it is found that the number of computing cores of Spark Streaming is less than the number of receivers. As a result, after some receivers are started, no resources are available to run computing tasks. Therefore, the first task keeps waiting and subsequent tasks keep queuing. <a href="#mrs_01_2050__f4bfff9246c4744c5b796657f0834fa67">Figure 1</a> is an example of two queuing tasks.</p>
+<p id="mrs_01_2050__ae9e2cd5d990949b69b11de44cf6a49bc">To address this problem, it is advised to check whether the number of Spark cores is greater than the number of receivers when two tasks are queuing.</p>
+<div class="note" id="mrs_01_2050__nbae3e2bc96ed46dbb369403e2b21a251"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2050__a47ea12d5acc04bb68b121a3f419c3c53">Receiver is a permanent Spark job in Spark Streaming. It is common for Spark, but its life cycle is the same as that of a Spark Streaming task and occupies one computing core.</p>
+<p id="mrs_01_2050__a3492c8ac82fd4d7080024e5036a65bfa">Pay attention to the relationship between the number of cores and the number of receivers in scenarios where default configurations are often used, such as debugging and testing.</p>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2048.html">Spark Streaming</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2051.html b/docs/mrs/component-operation-guide/mrs_01_2051.html
new file mode 100644
index 000000000..0f6ad2f7b
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2051.html
@@ -0,0 +1,15 @@
+<a name="mrs_01_2051"></a><a name="mrs_01_2051"></a>
+
+<h1 class="topictitle1">What Should I Pay Attention to When Optimizing Spark Streaming Task Parameters?</h1>
+<div id="body1595920224402"><div class="section" id="mrs_01_2051__s81aed97d50e341ccbde48020ab66640c"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2051__ae55b06c4e171479988e7a3561eb586eb">When Spark Streaming tasks are running, the data processing performance does not improve significantly as the number of executors increases. What should I pay attention to if I perform parameter optimization?</p>
+</div>
+<div class="section" id="mrs_01_2051__s2ba5b6d55e974bad91d7c03a7cdf289f"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2051__aa468465073a94d4cb2e2ca884923be17">When the number of executor cores is 1, comply with the following rules to optimize Spark Streaming running parameters:</p>
+<ul id="mrs_01_2051__uf8a85835b6664d499a7361d883fb8e02"><li id="mrs_01_2051__ld0af83d10df34409993d69f9f538a60d">The Spark task processing speed is related to the number of partitions in Kafka. When the number of partitions is less than the specified number of executors, the number of actually used executors is the same as the number of partitions, and other executors will be idle. Therefore, the number of executors must be less than or equal to the number of partitions.</li><li id="mrs_01_2051__l7dd0efd405c54361970f85cca8d0d07c">When data skew occurs on different partitions of Kafka, the executor corresponding to the partition with a large amount of data touches the glass ceiling of data processing. Therefore, when the Producer program is executed, data is sent to each partition on average to improve the processing speed.</li><li id="mrs_01_2051__lf2035122f6e645ecb171020c182cb1bb">When partition data is evenly distributed, increasing the number of partitions and executors will improve the Spark processing speed. (When the number of partitions is the same as that of executors, the processing speed is the fastest.)</li><li id="mrs_01_2051__l46908af5da4c40f5af8add240b346ab5">When partition data is evenly distributed, ensure that the number of partitions is an integer multiple of the number of executors for proper allocation of resources.</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2048.html">Spark Streaming</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2052.html b/docs/mrs/component-operation-guide/mrs_01_2052.html
new file mode 100644
index 000000000..d1c044218
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2052.html
@@ -0,0 +1,40 @@
+<a name="mrs_01_2052"></a><a name="mrs_01_2052"></a>
+
+<h1 class="topictitle1">Why Does the Spark Streaming Application Fail to Be Submitted After the Token Validity Period Expires?</h1>
+<div id="body1595920224403"><div class="section" id="mrs_01_2052__sb213bc3a8c8a414fb64a61a628a7679a"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2052__a997e3a29fc314811a9c14916dd34e439">Change the validity period of the Kerberos ticket and HDFS token to 5 minutes, set <span class="parmname" id="mrs_01_2052__p4e438ecf72e7426d856182a6ac5a58c9"><b>dfs.namenode.delegation.token.renew-interval</b></span> to a value less than 60 seconds, and submit the Spark Streaming application. If the token expires, the error message below is displayed, and the application exits. Why?</p>
+<pre class="screen" id="mrs_01_2052__sdff057a2efd74117b55f9447d2a34486">token (HDFS_DELEGATION_TOKEN token 17410 for spark2x) is expired</pre>
+</div>
+<div class="section" id="mrs_01_2052__sd5029f54ac47428d9d6494488f2ef110"><h4 class="sectiontitle">Answer</h4><ul id="mrs_01_2052__u7dd65e82c0264860a0e1dd953518a35e"><li id="mrs_01_2052__l761a24ebdf1e47798a58ce20696dd0fa">Possible causes:<p id="mrs_01_2052__aa4ac9c59e70342f9b6e6110a994c3b88"><a name="mrs_01_2052__l761a24ebdf1e47798a58ce20696dd0fa"></a><a name="l761a24ebdf1e47798a58ce20696dd0fa"></a>The credential refresh thread of the ApplicationMaster process uploads the updated credential file to the HDFS based on the<i><span class="varname" id="mrs_01_2052__varname43181303893246"> token renew period multiplied by 0.75</span></i>.</p>
+<p id="mrs_01_2052__a8fe8b7958570451cbd40badef2597bd0">In the executor process, the credential refresh thread obtains the updated credential file from the HDFS based on the time ratio of the <i><span class="varname" id="mrs_01_2052__varname14511849193246">token renewal period multiplied by 0.8</span></i> to update the token in UserGroupInformation, preventing the token from being invalid.</p>
+<p id="mrs_01_2052__ac9c068e10bb14d67814c04f2de56d03e">When the credential refresh thread of the executor process detects that the current time is later than the credential file update time (<i><span class="varname" id="mrs_01_2052__v0ff73ba0ab7b42e1855614bbb45c474d">token renew period x 0.8</span></i>), it waits for 1 minute and then obtains the latest credential file from the HDFS to ensure that the AM has stored the updated credential file in the HDFS.</p>
+<p id="mrs_01_2052__a3a642e865e364ea28e3ed615445d1c90">When the value of <span class="parmname" id="mrs_01_2052__parmname64783026593246"><b>dfs.namenode.delegation.token.renew-interval</b></span> is less than 60 seconds, the started executor detects that the current time is later than the time when the credential file is updated. One minute later, the executor obtains the latest credential file from the HDFS. However, the token is already invalid, and the task fails to be executed. Then, other executor processes retry within 1 minute. The task also fails to run on other executors. As a result, the executors that fail to run are added to the blacklist. If no executors are available, the application exits.</p>
+</li></ul>
+<ul id="mrs_01_2052__u87daff84dcda47d4ae3ed4d5628b05ec"><li id="mrs_01_2052__ldb5ef5656fee4568a20861443c4ec135">Solution:<p id="mrs_01_2052__adfae6f95ee7a4eef8eb22811da56ea26"><a name="mrs_01_2052__ldb5ef5656fee4568a20861443c4ec135"></a><a name="ldb5ef5656fee4568a20861443c4ec135"></a>In the Spark application scenario, set <span class="parmname" id="mrs_01_2052__p98151dd3e1504f97abff4208d819cf0f"><b>dfs.namenode.delegation.token.renew-interval</b></span> to a value greater than 80 seconds. For details about the <span class="parmname" id="mrs_01_2052__p3755ca499b504c17b2276f392148599c"><b>dfs.namenode.delegation.token.renew-interval</b></span> parameter, see <a href="#mrs_01_2052__tccf0b141ec0540cb9da0cde471a287aa">Table 1</a>.</p>
+
+<div class="tablenoborder"><a name="mrs_01_2052__tccf0b141ec0540cb9da0cde471a287aa"></a><a name="tccf0b141ec0540cb9da0cde471a287aa"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2052__tccf0b141ec0540cb9da0cde471a287aa" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_2052__rbd483019a7a644b4bf00ca9925e34e58"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.3.1.2.2.4.1.1"><p id="mrs_01_2052__a02c641a81ba144f183f9cc3cc54831d7"><strong id="mrs_01_2052__a5e57877541554bb7a12a6cff7a9a4e81">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.3.1.2.2.4.1.2"><p id="mrs_01_2052__ab5eb7f9e144b4e10a9262d08eac53429"><strong id="mrs_01_2052__af9ad9e759be04b5b94b284daa5e9fc42">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.3.1.2.2.4.1.3"><p id="mrs_01_2052__a864a856523124408b7b67515be62dc1a"><strong id="mrs_01_2052__abb3172d0deb646cab8b69ef39ded6a41">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2052__r6ab9391ce6244aa7b633e6edc72c5c3b"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.1.2.2.4.1.1 "><p id="mrs_01_2052__a98f12a6d0cbc4366889f6033d52b86fd">dfs.namenode.delegation.token.renew-interval</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.1.2.2.4.1.2 "><p id="mrs_01_2052__a5068e62af870406bb91f942a24bbcc57">This parameter is a server parameter. It specifies the maximum lifetime to renew a token. Unit: milliseconds.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.3.1.2.2.4.1.3 "><p id="mrs_01_2052__ac0cf5e83a4cf458f8091967e9a36cce5">86400000</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2048.html">Spark Streaming</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2053.html b/docs/mrs/component-operation-guide/mrs_01_2053.html
new file mode 100644
index 000000000..abd6dcb5d
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2053.html
@@ -0,0 +1,91 @@
+<a name="mrs_01_2053"></a><a name="mrs_01_2053"></a>
+
+<h1 class="topictitle1">Why does Spark Streaming Application Fail to Restart from Checkpoint When It Creates an Input Stream Without Output Logic?</h1>
+<div id="body1595920224404"><div class="section" id="mrs_01_2053__s8676120d7f7d4552a537158c9eac0805"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2053__a7b79246bb8f746aa91d655b0f8c08900">Spark Streaming application creates one input stream without output logic. The application fails to restart from checkpoint and an error will be shown like below:</p>
+<pre class="screen" id="mrs_01_2053__s77fc9210494040b78a817b480b3523cd">17/04/24 10:13:57 ERROR Utils: Exception encountered
+java.lang.NullPointerException
+at org.apache.spark.streaming.dstream.DStreamCheckpointData$$anonfun$writeObject$1.apply$mcV$sp(DStreamCheckpointData.scala:125)
+at org.apache.spark.streaming.dstream.DStreamCheckpointData$$anonfun$writeObject$1.apply(DStreamCheckpointData.scala:123)
+at org.apache.spark.streaming.dstream.DStreamCheckpointData$$anonfun$writeObject$1.apply(DStreamCheckpointData.scala:123)
+at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1195)
+at org.apache.spark.streaming.dstream.DStreamCheckpointData.writeObject(DStreamCheckpointData.scala:123)
+at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
+at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
+at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
+at java.lang.reflect.Method.invoke(Method.java:498)
+at java.io.ObjectStreamClass.invokeWriteObject(ObjectStreamClass.java:1028)
+at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1496)
+at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432
+at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
+at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548)
+at java.io.ObjectOutputStream.defaultWriteObject(ObjectOutputStream.java:441)
+at org.apache.spark.streaming.dstream.DStream$$anonfun$writeObject$1.apply$mcV$sp(DStream.scala:515)
+at org.apache.spark.streaming.dstream.DStream$$anonfun$writeObject$1.apply(DStream.scala:510)
+at org.apache.spark.streaming.dstream.DStream$$anonfun$writeObject$1.apply(DStream.scala:510)
+at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1195)
+at org.apache.spark.streaming.dstream.DStream.writeObject(DStream.scala:510)
+at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
+at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
+at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
+at java.lang.reflect.Method.invoke(Method.java:498)
+at java.io.ObjectStreamClass.invokeWriteObject(ObjectStreamClass.java:1028)
+at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1496)
+at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432
+at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
+at java.io.ObjectOutputStream.writeArray(ObjectOutputStream.java:1378)
+at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1174)
+at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548)
+at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1509)
+at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432
+at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
+at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548)
+at java.io.ObjectOutputStream.defaultWriteObject(ObjectOutputStream.java:441)
+at org.apache.spark.streaming.DStreamGraph$$anonfun$writeObject$1.apply$mcV$sp(DStreamGraph.scala:191)
+at org.apache.spark.streaming.DStreamGraph$$anonfun$writeObject$1.apply(DStreamGraph.scala:186)
+at org.apache.spark.streaming.DStreamGraph$$anonfun$writeObject$1.apply(DStreamGraph.scala:186)
+at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1195)
+at org.apache.spark.streaming.DStreamGraph.writeObject(DStreamGraph.scala:186
+at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
+at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
+at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
+at java.lang.reflect.Method.invoke(Method.java:498)
+at java.io.ObjectStreamClass.invokeWriteObject(ObjectStreamClass.java:1028)
+at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1496)
+at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432
+at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
+at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548)
+at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1509)
+at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432
+at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
+at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:348)
+at org.apache.spark.streaming.Checkpoint$$anonfun$serialize$1.apply$mcV$sp(Checkpoint.scala:142)
+at org.apache.spark.streaming.Checkpoint$$anonfun$serialize$1.apply(Checkpoint.scala:142)
+at org.apache.spark.streaming.Checkpoint$$anonfun$serialize$1.apply(Checkpoint.scala:142)
+at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1230)
+at org.apache.spark.streaming.Checkpoint$.serialize(Checkpoint.scala:143)
+at org.apache.spark.streaming.StreamingContext.validate(StreamingContext.scala:566)
+at org.apache.spark.streaming.StreamingContext.liftedTree1$1(StreamingContext.scala:612)
+at org.apache.spark.streaming.StreamingContext.start(StreamingContext.scala:611)
+at com.spark.test.kafka08LifoTwoInkfk$.main(kafka08LifoTwoInkfk.scala:21)
+at com.spark.test.kafka08LifoTwoInkfk.main(kafka08LifoTwoInkfk.scala)
+at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
+at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
+at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
+at java.lang.reflect.Method.invoke(Method.java:498)
+at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:772)
+at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:183)
+at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:208)
+at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:123)
+at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)</pre>
+</div>
+<div class="section" id="mrs_01_2053__s9b3ec941265d48a19e54ade367ce2778"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2053__a33eddaecc2aa4c9e9167c09528bbd6b3">When Streaming Context starts, DStream checkpoint object of application should be serialized with application set to checkpoint and Dstream context will be used during this serialization.</p>
+<p id="mrs_01_2053__a03c9ecc46fd545cea49b5561c019c48f">Dstream.context is the Dstream which Streaming Context relies on to check reversely from output Stream, set the context one by one. If Spark Streaming application creates one input stream which does not have output logic, there will be no context set for the input stream. 'NullPointerException' will be reported during serialization.</p>
+<p id="mrs_01_2053__a1d87d3c511a446ce865e1eacaf46e3d5">Solution: If there is no input logic for the output stream in the application, delete the input stream in the code or add the relevant output logic for that input stream.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2048.html">Spark Streaming</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2054.html b/docs/mrs/component-operation-guide/mrs_01_2054.html
new file mode 100644
index 000000000..30b76f3fe
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2054.html
@@ -0,0 +1,18 @@
+<a name="mrs_01_2054"></a><a name="mrs_01_2054"></a>
+
+<h1 class="topictitle1">Why Is the Input Size Corresponding to Batch Time on the Web UI Set to 0 Records When Kafka Is Restarted During Spark Streaming Running?</h1>
+<div id="body1595920224704"><div class="section" id="mrs_01_2054__sc68730c04c314e16809af832f9dc293e"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2054__a61fc317a43994dabbdf447ba921fce03">When the Kafka is restarted during the execution of the Spark Streaming application, the application cannot obtain the topic offset from the Kafka. As a result, the job fails to be generated. As shown in <a href="#mrs_01_2054__f4c352ef623b7496485289010f2d69e3c">Figure 1</a>, <strong id="mrs_01_2054__b72611444243">2017/05/11 10:57:00-2017/05/11 10:58:00</strong> indicates the Kafka restart time. After the restart is successful at 10:58:00 on May,11,2017, the value of <span class="parmname" id="mrs_01_2054__p9854ca04be494cf4b5ed97f16ad1d7b8"><b>Input Size</b></span> is <span class="parmvalue" id="mrs_01_2054__pa23acd567387401499e3f8acc8aa2f6a"><b>0 records</b></span>.</p>
+<div class="fignone" id="mrs_01_2054__f4c352ef623b7496485289010f2d69e3c"><a name="mrs_01_2054__f4c352ef623b7496485289010f2d69e3c"></a><a name="f4c352ef623b7496485289010f2d69e3c"></a><span class="figcap"><b>Figure 1 </b>On the Web UI, the <strong id="mrs_01_2054__b4528183217243">input size</strong> corresponding to the <strong id="mrs_01_2054__b115295321242">batch time</strong> is <strong id="mrs_01_2054__b85291832122415">0 records</strong>.</span><br><span><img id="mrs_01_2054__iab704267619c46e9b744388d84e28e6a" src="en-us_image_0000001349090029.png"></span></div>
+</div>
+<div class="section" id="mrs_01_2054__s1ee317fb4f724a39ac5f90603b3443ea"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2054__af3fc46e43bf04928ac071a40f396cefd">After Kafka is restarted, the application supplements the missing RDD between 10:57:00 on May 11, 2017 and 10:58:00 on May 11, 2017 based on the batch time. Although the number of read data records displayed on the UI is <span class="parmvalue" id="mrs_01_2054__p825425acb5e4436f929b300b8071f4b1"><b>0</b></span>, the missing data is processed in the supplemented RDD. Therefore, no data loss occurs.</p>
+<p id="mrs_01_2054__a828ff2f9f5c14332ae40943104155fa5">The data processing mechanism during the Kafka restart period is as follows:</p>
+<p id="mrs_01_2054__aaa97fef600fd46dc96343d956b54ef0d">The Spark Streaming application uses the <strong id="mrs_01_2054__b581319443282">state</strong> function (for example, <strong id="mrs_01_2054__b19818194419289">updateStateByKey</strong>). After Kafka is restarted, the Spark Streaming application generates a batch task at 10:58:00 on May 11, 2017. The missing RDD between10:57:00 on May 11, 2017 and 10:58:00 on May 11, 2017 is supplemented based on the batch time (data that is not read in Kafka before Kafka restart, which belongs to the batch before 10:57:00 on May 11, 2017).</p>
+<p id="mrs_01_2054__aa59d2c48585447e6a045edaecb034966"></p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2048.html">Spark Streaming</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2055.html b/docs/mrs/component-operation-guide/mrs_01_2055.html
new file mode 100644
index 000000000..d1932f703
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2055.html
@@ -0,0 +1,19 @@
+<a name="mrs_01_2055"></a><a name="mrs_01_2055"></a>
+
+<h1 class="topictitle1">Why the Job Information Obtained from the restful Interface of an Ended Spark Application Is Incorrect?</h1>
+<div id="body1595920225316"><div class="section" id="mrs_01_2055__sa85f95303ed84023a630b97647ce9375"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2055__ace986a6756d04610a8a73c8072bf2323">The job information obtained from the restful interface of an ended Spark application is incorrect: the value of <span class="parmname" id="mrs_01_2055__p91eed999cdac4788bb12ad0304e3f8d0"><b>numActiveTasks</b></span> is negative, as shown in <a href="#mrs_01_2055__f25d2e3813ec3476b9a49627d17776421">Figure 1</a>:</p>
+<div class="fignone" id="mrs_01_2055__f25d2e3813ec3476b9a49627d17776421"><a name="mrs_01_2055__f25d2e3813ec3476b9a49627d17776421"></a><a name="f25d2e3813ec3476b9a49627d17776421"></a><span class="figcap"><b>Figure 1 </b>job information</span><br><span><img id="mrs_01_2055__i13ca13252e4d4983954e112f3f537e23" src="en-us_image_0000001349290529.png"></span></div>
+<div class="note" id="mrs_01_2055__na2897dd9524244fd8d25cdf8b6336eed"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2055__a5274c175aa9f4a2391d8025a49c77289">numActiveTasks indicates the number of active tasks.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_2055__sf411ab093c4c4296bd4853815d1b4d0c"><h4 class="sectiontitle">Answer</h4><div class="p" id="mrs_01_2055__a399d992b826a4ae3a5b0518fec6e10b8">The job information can be obtained in either of the following methods:<ul id="mrs_01_2055__u8a5f2ebc9b004aa4a586d7d937e51f98"><li id="mrs_01_2055__l725881fb4656435783773fa759125258">Set <strong id="mrs_01_2055__b2362192518141">spark.history.briefInfo.gather=true</strong> and then view the brief JobHistory information.</li><li id="mrs_01_2055__l3c0a929b1f754d029fa370f14120c74a">Visit the JobHistory2x page of Spark (URL: https://IP:port/api/v1/&lt;appid&gt;/jobs/).</li></ul>
+</div>
+<p id="mrs_01_2055__aff254036acd7481eb4735feb61ba22bc">The value of <span class="parmname" id="mrs_01_2055__pb6a7003826194c758cfe308c7885e947"><b>numActiveTasks</b></span> in the job information is calculated from the difference between the number of SparkListenerTaskStart events and the number of SparkListenerTaskEnd events in the <span class="filepath" id="mrs_01_2055__fe2fc2da00af842f5a8df4c1d9d828a76"><b>eventLog</b></span> file. If some events are not recorded in the <span class="filepath" id="mrs_01_2055__f5425702cc2f54fecb9d405b667368a25"><b>eventLog</b></span> file, the job information obtained from the restful interface is incorrect.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2002.html">Common Issues About Spark2x</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2056.html b/docs/mrs/component-operation-guide/mrs_01_2056.html
new file mode 100644
index 000000000..aaacee56d
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2056.html
@@ -0,0 +1,30 @@
+<a name="mrs_01_2056"></a><a name="mrs_01_2056"></a>
+
+<h1 class="topictitle1">Why Cannot I Switch from the Yarn Web UI to the Spark Web UI?</h1>
+<div id="body1595920225547"><div class="section" id="mrs_01_2056__s8cd69dd1b04c4f6790daa74c7a94c327"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2056__aaba0466a4fc24d12941af7d337489cb2">In FusionInsight, the Spark application is run in yarn-client mode on the client. The following error occurs during the switch from the Yarn web UI to the application web UI:</p>
+<p id="mrs_01_2056__p84867499557"><span><img id="mrs_01_2056__image5593155010551" src="en-us_image_0000001388071348.png"></span></p>
+<div class="p" id="mrs_01_2056__a7479f67337204b5db0d4adb51c854693">The YARN ResourceManager log shows the following information:<pre class="screen" id="mrs_01_2056__s01e78fc59f4843e6b38c061a956d884b">2016-07-21 16:35:27,099 | INFO  | Socket Reader #1 for port 8032 | Auth successful for mapred/hadoop.<em id="mrs_01_2056__i1954248201617">&lt;System domain name&gt;</em>@<em id="mrs_01_2056__i7349755132510">&lt;System domain name&gt;</em> (auth:KERBEROS) | Server.java:1388
+2016-07-21 16:35:27,105 | INFO  | 1526016381@qtp-1178290888-1015 | admin is accessing unchecked http://10.120.169.53:23011 which is the app master GUI of 
+application_1468986660719_0045 owned by spark | WebAppProxyServlet.java:393
+2016-07-21 16:36:02,843 | INFO  | Socket Reader #1 for port 8032 | Auth successful for hive/hadoop.<em id="mrs_01_2056__i17123197192612">&lt;System domain name&gt;</em>@<em id="mrs_01_2056__i1912310713265">&lt;System domain name&gt;</em> (auth:KERBEROS) | Server.java:1388
+2016-07-21 16:36:02,851 | INFO  | Socket Reader #1 for port 8032 | Auth successful for hive/hadoop.<em id="mrs_01_2056__i192384122266">&lt;System domain name&gt;</em>@<em id="mrs_01_2056__i13238131282612">&lt;System domain name&gt;</em> (auth:KERBEROS) | Server.java:1388
+2016-07-21 16:36:12,163 | WARN  | 1526016381@qtp-1178290888-1015 | /proxy/application_1468986660719_0045/: java.net.ConnectException: Connection timed out | 
+Slf4jLog.java:76
+2016-07-21 16:37:03,918 | INFO  | Socket Reader #1 for port 8032 | Auth successful for hive/hadoop.<em id="mrs_01_2056__i24551817132619">&lt;System domain name&gt;</em>@<em id="mrs_01_2056__i18455171782610">&lt;System domain name&gt;</em> (auth:KERBEROS) | Server.java:1388
+2016-07-21 16:37:03,926 | INFO  | Socket Reader #1 for port 8032 | Auth successful for hive/hadoop.<em id="mrs_01_2056__i18995151912616">&lt;System domain name&gt;</em>@<em id="mrs_01_2056__i699581911262">&lt;System domain name&gt;</em> (auth:KERBEROS) | Server.java:1388
+2016-07-21 16:37:11,956 | INFO  | AsyncDispatcher event handler | Updating application attempt appattempt_1468986660719_0045_000001 with final state: FINISHING, 
+and exit status: -1000 | RMAppAttemptImpl.java:1253</pre>
+</div>
+</div>
+<div class="section" id="mrs_01_2056__s6f4ef61c1f9d404785b2f0d57f17486d"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2056__a3ceaabca5f384a3fb908893ab5af6742">On FusionInsight Manager, the IP address of the Yarn service is in the 192 network segment.</p>
+<p id="mrs_01_2056__aad3602a0a793443796ed8e1d82ada93c">In Yarn logs, the IP address of Spark web UI read by Yarn is http://10.120.169.53:23011, which is in the 10 network segment. The IP addresses in the 192 network segment cannot communicate with those in the 10 network segment. As a result, the Spark web UI fails to be accessed.</p>
+<p id="mrs_01_2056__afbd5dcb2967644ebaf726cf6a8b4c02c">Solution:</p>
+<p id="mrs_01_2056__a0c05ca2733144d0db66c919328c4c2e0">Log in to the client whose IP address is <strong id="mrs_01_2056__b57192259193629">10.120.169.53</strong> and change the IP address in the <strong id="mrs_01_2056__b148956631093629">/etc/hosts</strong> file to the IP address in the 192 network segment. Run the Spark application again. The Spark web UI is displayed.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2002.html">Common Issues About Spark2x</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2057.html b/docs/mrs/component-operation-guide/mrs_01_2057.html
new file mode 100644
index 000000000..8a710ceed
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2057.html
@@ -0,0 +1,41 @@
+<a name="mrs_01_2057"></a><a name="mrs_01_2057"></a>
+
+<h1 class="topictitle1">What Can I Do If an Error Occurs when I Access the Application Page Because the Application Cached by HistoryServer Is Recycled?</h1>
+<div id="body1595920225549"><div class="section" id="mrs_01_2057__s52854ce0eb01400897874068eb3ceac6"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2057__a6f278778020b4bfa8612cd62f51f6d31">An error occurs when I access a Spark application page on the HistoryServer page.</p>
+<p id="mrs_01_2057__a87dd778864c942ec8fb8c4b1bda38afb">Check the HistoryServer logs. The "FileNotFound" exception is found. The related logs are as follows:</p>
+<pre class="screen" id="mrs_01_2057__sb5de590deaeb4fb6b369448e3240e40b">2016-11-22 23:58:03,694 | WARN  | [qtp55429210-232] | /history/application_1479662594976_0001/stages/stage/ | org.sparkproject.jetty.servlet.ServletHandler.doHandle(ServletHandler.java:628)
+java.io.FileNotFoundException: ${BIGDATA_HOME}/tmp/spark/jobHistoryTemp/blockmgr-5f1f6aca-2303-4290-9845-88fa94d78480/09/temp_shuffle_11f82aaf-e226-46dc-b1f0-002751557694 (No such file or directory)</pre>
+</div>
+<div class="section" id="mrs_01_2057__sc60702f4a723434ab94798b2974aa07f"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2057__a91f0482aa22b46e884fa1e31d62cf147">If a Spark application with a large number of tasks is run on the HistoryServer page, the memory overflows to disk and files with the <strong id="mrs_01_2057__b18326639609341">temp_shuffle</strong> prefix are generated. </p>
+<p id="mrs_01_2057__a83d4c4538c974e25b72ff3573e72ffb7">By default, HistoryServer caches 50 Spark applications (determined by the <span class="parmname" id="mrs_01_2057__parmname9419905959341"><b>spark.history.retainedApplications</b></span> configuration item). When the number of Spark applications in the memory exceeds 50, HistoryServer reclaims the first cached Spark application and clears the corresponding <strong id="mrs_01_2057__b4584676829341">temp_shuffle</strong> file.</p>
+<p id="mrs_01_2057__a21220dab57f548038d68182b1d245b57">When a user is viewing Spark applications to be recycled, the <strong id="mrs_01_2057__b12639935429341">temp_shuffle</strong> file may not be found. As a result, the current page cannot be accessed.</p>
+<p id="mrs_01_2057__ae4ebe7bba0244ec59ed9b583a037a446">If the preceding problem occurs, use either of the following methods to solve the problem:</p>
+<ul id="mrs_01_2057__uc420aa4d6f0e46c496907fd7e07c600d"><li id="mrs_01_2057__l67b7b53dc8584fdfa7a68ed2496c1df8">Access the HistoryServer page of the Spark application again. The correct page information is displayed.</li><li id="mrs_01_2057__l1fa676394a3e475cae7823c767bad68d">If more than 50 Spark applications need to be accessed at the same time, increase the value of <span class="parmname" id="mrs_01_2057__pfc92ac5c54b94883a8511ac157d0f8ab"><b>spark.history.retainedApplications</b></span>.<div class="p" id="mrs_01_2057__a7d7e82de84674777a59b76c72c046e99">Log in to FusionInsight Manager, choose<span id="mrs_01_2057__text664014226348"> <strong id="mrs_01_2057__b1063942213342">Cluster</strong> &gt; <em id="mrs_01_2057__i186402224345">Name of the desired cluster</em></span> &gt; <strong id="mrs_01_2057__b17640922103412">Service</strong> &gt; <strong id="mrs_01_2057__b2064012223414">Spark2x</strong> &gt; <strong id="mrs_01_2057__b146401022193415">Configuration</strong>, and click <strong id="mrs_01_2057__b964142293418">All Configurations</strong>. In the navigation tree on the left, choose <strong id="mrs_01_2057__b1664122253419">JobHistory</strong><strong id="mrs_01_2057__b196411922113414">2x</strong> &gt; <strong id="mrs_01_2057__b1164117224346">GUI</strong>, and set parameters.
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2057__t8fe40c6892824846bd688bbf1d1a3812" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_2057__r85f1672165d849f1960d45c04034269f"><th align="left" class="cellrowborder" valign="top" width="19.3%" id="mcps1.3.2.6.2.2.9.2.4.1.1"><p id="mrs_01_2057__a3ed21e7d07944921969c27a05653df21"><strong id="mrs_01_2057__af9be82970f3e4ee19b441c6a8a454fe1">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="65.91%" id="mcps1.3.2.6.2.2.9.2.4.1.2"><p id="mrs_01_2057__a47dbea2a0c7b45069468c67a406ca73b"><strong id="mrs_01_2057__a1bc7a6319ae8458ea5c745d352c0ab34">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="14.790000000000001%" id="mcps1.3.2.6.2.2.9.2.4.1.3"><p id="mrs_01_2057__a19fa0646cf35486cb0c5b47c603d2571"><strong id="mrs_01_2057__a64686f5f00114985ac401266cc8e6b12">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2057__r845e04c957234bee9fdda54fdf5e90d0"><td class="cellrowborder" valign="top" width="19.3%" headers="mcps1.3.2.6.2.2.9.2.4.1.1 "><p id="mrs_01_2057__abb458eafe87b42a590d81051a18aecaf">spark.history.retainedApplications</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.91%" headers="mcps1.3.2.6.2.2.9.2.4.1.2 "><p id="mrs_01_2057__ad272d181b8834c0b847b5796faf295e1">Number of Spark applications cached by HistoryServer. When the number of applications to be cached exceeds the value of this parameter, HistoryServer reclaims the first cached Spark application.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.790000000000001%" headers="mcps1.3.2.6.2.2.9.2.4.1.3 "><p id="mrs_01_2057__a9de98922aa344074a2aadf371b7761fc">50</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2002.html">Common Issues About Spark2x</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2058.html b/docs/mrs/component-operation-guide/mrs_01_2058.html
new file mode 100644
index 000000000..855cc0e7b
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2058.html
@@ -0,0 +1,15 @@
+<a name="mrs_01_2058"></a><a name="mrs_01_2058"></a>
+
+<h1 class="topictitle1">Why Is not an Application Displayed When I Run the Application with the Empty Part File?</h1>
+<div id="body1595920225550"><div class="section" id="mrs_01_2058__s4750416d78954558999c8f49cf943930"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2058__a2b8b0de8a3334941ae4cbfa05b32c82a">When I run an application with an empty part file in HDFS with the log grouping function enabled, why is not the application displayed on the homepage of JobHistory?</p>
+</div>
+<div class="section" id="mrs_01_2058__sfe94e3e5f7bf4b738cb843a90860156b"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2058__ad5639eb7244442e5a86f2adbc0835bbc">On the JobHistory page, information about applications is updated only with changed sizes of part files in HDFS. If a file is read for the first time, its size is compared with 0. The file is read only when the file size is greater than 0.</p>
+<p id="mrs_01_2058__a85ab09d4a42b440e810abed93b7c7c2e">When the log grouping function is enabled, if the application you run does not have jobs in running status, the part file is empty. As a result, JobHistory does not read the part file and the application information is not displayed on the JobHistory page. However, if the size of part file is changed later, the application will be displayed on JobHistory.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2002.html">Common Issues About Spark2x</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2059.html b/docs/mrs/component-operation-guide/mrs_01_2059.html
new file mode 100644
index 000000000..245c22c86
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2059.html
@@ -0,0 +1,25 @@
+<a name="mrs_01_2059"></a><a name="mrs_01_2059"></a>
+
+<h1 class="topictitle1">Why Does Spark2x Fail to Export a Table with the Same Field Name?</h1>
+<div id="body1595920225551"><div class="section" id="mrs_01_2059__s681957a75fbc4d1e9b081b339ce06c43"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2059__af5e3908fc849431da39af60dd875535f">The following code fails to be executed on spark-shell of Spark2x:</p>
+<pre class="screen" id="mrs_01_2059__s43259df691794d40a593796ed5028b91">val acctId = List(("49562", "Amal", "Derry"), ("00000", "Fred", "Xanadu"))
+val rddLeft = sc.makeRDD(acctId)
+val dfLeft = rddLeft.toDF("Id", "Name", "City")
+//dfLeft.show
+val acctCustId = List(("Amal", "49562", "CO"), ("Dave", "99999", "ZZ"))
+val rddRight = sc.makeRDD(acctCustId)
+val dfRight = rddRight.toDF("Name", "CustId", "State")
+//dfRight.show
+val dfJoin = dfLeft.join(dfRight, dfLeft("Id") === dfRight("CustId"), "outer")
+dfJoin.show
+dfJoin.repartition(1).write.format("com.databricks.spark.csv").option("delimiter", "\t").option("header", "true").option("treatEmptyValuesAsNulls", "true").option("nullValue", "").save("/tmp/outputDir") </pre>
+</div>
+<div class="section" id="mrs_01_2059__s2ddd7f66701f4aad8f2206b93656380d"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2059__a31aff00c93464ae0b936d9f12bfb8530">In Spark2x, the duplicate field name of the <strong id="mrs_01_2059__b16606902298476">join</strong> statement is checked. You need to modify the code to ensure that no duplicate field exists in the saved data.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2002.html">Common Issues About Spark2x</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2060.html b/docs/mrs/component-operation-guide/mrs_01_2060.html
new file mode 100644
index 000000000..f57fd985d
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2060.html
@@ -0,0 +1,15 @@
+<a name="mrs_01_2060"></a><a name="mrs_01_2060"></a>
+
+<h1 class="topictitle1">Why JRE fatal error after running Spark application multiple times?</h1>
+<div id="body1595920225552"><div class="section" id="mrs_01_2060__s25a200293fd5402a805346057953b06f"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2060__a427be73d237441f8bbf78869582aec16">Why JRE fatal error after running Spark application multiple times?</p>
+</div>
+<div class="section" id="mrs_01_2060__s9dd22d32208241b1b58bc0d3a108f202"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2060__a283954758f6a4f12a8cc72da90685fe0">When you run Spark application multiple times, JRE fatal error occurs and this is due to the problem with the Linux Kernel.</p>
+</div>
+<p id="mrs_01_2060__a2d8f2791f8d04ef18fc5becc3c0f687b">To resolve this issue, upgrade the <strong id="mrs_01_2060__a0beb27b8902742fba0e415f4b01db086">kernel version to 4.13.9-2.ge7d7106-default</strong>.</p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2002.html">Common Issues About Spark2x</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2061.html b/docs/mrs/component-operation-guide/mrs_01_2061.html
new file mode 100644
index 000000000..ac19a3440
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2061.html
@@ -0,0 +1,19 @@
+<a name="mrs_01_2061"></a><a name="mrs_01_2061"></a>
+
+<h1 class="topictitle1">"This page can't be displayed" Is Displayed When Internet Explorer Fails to Access the Native Spark2x UI</h1>
+<div id="body1595920225823"><div class="section" id="mrs_01_2061__sf21a3d9c55a64d59b67112423b9a88f3"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2061__a6040fa0de43e453f8411e72d29d9e4c9">Occasionally, Internet Explorer 9, Explorer 10, or Explorer 11 fails to access the native Spark2x UI.</p>
+</div>
+<div class="section" id="mrs_01_2061__sf247cd813f4b45858dd020c145b2d814"><h4 class="sectiontitle">Symptom</h4><p id="mrs_01_2061__a0087928a86984bc088117eb1128bf6c5">Internet Explorer 9, Explorer 10, or Explorer 11 fails to access the native Spark UI, as shown in the following figure.</p>
+<p id="mrs_01_2061__a111b870380704c67bd7892359b1b13e3"><span><img id="mrs_01_2061__ibd9eaf26af254e288c5144105c6bed88" src="en-us_image_0000001296250852.jpg"></span></p>
+</div>
+<div class="section" id="mrs_01_2061__s9b6533dcd76f4493997d470f72fec183"><h4 class="sectiontitle">Cause</h4><p id="mrs_01_2061__a2433b018ba00453fb4a540431af4798f">Some Internet Explorer 9, Explorer 10, or Explorer 11versions fail to handle SSL handshake issues, causing access failure.</p>
+</div>
+<div class="section" id="mrs_01_2061__se665a8f714e845d28e123717bf627121"><h4 class="sectiontitle">Solution</h4><p id="mrs_01_2061__a31998283d03f4927874139f8ff4d8d7c">Google Chrome 71 and later versions and Firefox browsers 62 and later versions are recommended.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2002.html">Common Issues About Spark2x</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2062.html b/docs/mrs/component-operation-guide/mrs_01_2062.html
new file mode 100644
index 000000000..ad798fc04
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2062.html
@@ -0,0 +1,54 @@
+<a name="mrs_01_2062"></a><a name="mrs_01_2062"></a>
+
+<h1 class="topictitle1">How Does Spark2x Access External Cluster Components?</h1>
+<div id="body1595920225826"><div class="section" id="mrs_01_2062__section28541140131913"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2062__p1897514221714">There are two clusters, cluster 1 and cluster 2. How do I use Spark2x in cluster 1 to access HDFS, Hive, HBase, and Kafka components in cluster 2?</p>
+</div>
+<div class="section" id="mrs_01_2062__section1725115551193"><h4 class="sectiontitle">Answer</h4><ol id="mrs_01_2062__ol16382126207"><li id="mrs_01_2062__li1638272152018">Components in two clusters can access each other. However, there are the following restrictions:<ul id="mrs_01_2062__ul87901331122514"><li id="mrs_01_2062__li979073182515">Only one Hive MetaStore can be accessed. Specifically, Hive MetaStore in cluster 1 and Hive MetaStore in cluster 2 cannot be accessed at the same time.</li><li id="mrs_01_2062__li1279123132516">User systems in different clusters are not synchronized. When users access components in another cluster, user permission is determined by the user configuration of the peer cluster. For example, if user A of cluster 1 does not have the permissions to access the HBase meta table in cluster 1 but user A of cluster 2 can access the HBase meta table in cluster 2, user A of cluster 1 can access the HBase meta table in cluster 2.</li><li id="mrs_01_2062__li147911331162510">To enable components in a security cluster to communicate with each other across Manager, you need to configure mutual trust.</li></ul>
+</li><li id="mrs_01_2062__li038217215201">The following describes how to access Hive, HBase, and Kafka components in cluster 2 as user A.<div class="note" id="mrs_01_2062__note67917184279"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2062__p579211842713">The following operations are based on the scenario where a user uses the FusionInsight client to submit the Spark2x application. If the user uses the configuration file directory, the user needs to modify the corresponding file in the configuration directory of the application and upload the configuration file to the executor.</p>
+<p id="mrs_01_2062__p179533713518">When the HDFS and HBase clients access the server, <strong id="mrs_01_2062__b18786102384414">hostname</strong> is used to configure the server address. Therefore, the hosts configuration of all nodes to be accessed must be saved in the <strong id="mrs_01_2062__b9925163010446">/etc/hosts</strong> file on the client. You can add the host of the peer cluster node to the<strong id="mrs_01_2062__b3593837164411"> /etc/hosts</strong> file of the client node in advance.</p>
+</div></div>
+<ul id="mrs_01_2062__ul1930374619318"><li id="mrs_01_2062__li530314611313">Access Hive metastore: Replace the<strong id="mrs_01_2062__b920019399442"> hive-site.xml</strong> file in the <span class="filepath" id="mrs_01_2062__filepath14303146183115"><b>conf</b></span> directory of the Spark2x client in cluster 1 with the <strong id="mrs_01_2062__b3209639164414">hive-site.xml</strong> file in the <span class="filepath" id="mrs_01_2062__filepath10303184683111"><b>conf</b></span> directory of the Spark2x client in cluster 2.<p id="mrs_01_2062__p61451156141016">After the preceding operations are performed, you can use Spark SQL to access Hive MetaStore. To access Hive table data, you need to perform the operations in <a href="#mrs_01_2062__li13277182417246">• Access HDFS of two clusters at the same time:</a> and set <strong id="mrs_01_2062__b10729165014412">nameservice</strong> of the peer cluster to <strong id="mrs_01_2062__b19730250174417">LOCATION</strong>.</p>
+</li><li id="mrs_01_2062__li20303446173111">Access HBase of the peer cluster.<ol type="a" id="mrs_01_2062__ol9715599203"><li id="mrs_01_2062__li438382132016">Configure the IP addresses and host names of all ZooKeeper nodes and HBase nodes in cluster 2 in the <strong id="mrs_01_2062__b4265438184515">/etc/hosts </strong>file on the client node of cluster 1.</li><li id="mrs_01_2062__li1838317213202">Replace the<strong id="mrs_01_2062__b61884514453"> hbase-site.xml</strong> file in the <span class="filepath" id="mrs_01_2062__filepath15303114612315"><b>conf</b></span> directory of the Spark2x client in cluster 1 with the <strong id="mrs_01_2062__b819745164511">hbase-site.xml</strong> file in the <span class="filepath" id="mrs_01_2062__filepath123039460311"><b>conf</b></span> directory of the Spark2x client in cluster 2.</li></ol>
+</li><li id="mrs_01_2062__li730354613120">Access Kafka: Set the address of the Kafka Broker to be accessed to the Kafka Broker address in cluster 2.</li><li id="mrs_01_2062__li13277182417246"><a name="mrs_01_2062__li13277182417246"></a><a name="li13277182417246"></a>Access HDFS of two clusters at the same time:<ul id="mrs_01_2062__ul2054015424248"><li id="mrs_01_2062__li12231539142413">Two tokens with the same NameService cannot be obtained at the same time. Therefore, the NameServices of the HDFS in two clusters must be different. For example, one is <strong id="mrs_01_2062__b158573254619">hacluster</strong>, and the other is <strong id="mrs_01_2062__b488993710466">test</strong>.<ol type="a" id="mrs_01_2062__ol192151415174212"><li id="mrs_01_2062__li17215141510428">Obtain the following configurations from the <strong id="mrs_01_2062__b154477924710">hdfs-site.xml</strong> file of cluster2 and add them to the <strong id="mrs_01_2062__b166951813154712">hdfs-site.xml</strong> file in the <strong id="mrs_01_2062__b18308191615472">conf</strong> directory of the Spark2x client in cluster1:<p id="mrs_01_2062__p17755133319293"><strong id="mrs_01_2062__b98781739114711">dfs.nameservices.mappings</strong>, <strong id="mrs_01_2062__b155194364711">dfs.nameservices</strong>, <strong id="mrs_01_2062__b107324465475">dfs.namenode.rpc-address.test.*</strong>, <strong id="mrs_01_2062__b1189034916471">dfs.ha.namenodes.test</strong>, and <strong id="mrs_01_2062__b14166185316471">dfs.client.failover.proxy.provider.test</strong></p>
+<p id="mrs_01_2062__p792111306346">The following is an example:</p>
+<pre class="screen" id="mrs_01_2062__screen886613314207">&lt;property&gt;
+&lt;name&gt;dfs.nameservices.mappings&lt;/name&gt;
+&lt;value&gt;[{"name":"hacluster","roleInstances":["14","15"]},{"name":"test","roleInstances":["16","17"]}]&lt;/value&gt;
+&lt;/property&gt;
+&lt;property&gt;
+&lt;name&gt;dfs.nameservices&lt;/name&gt;
+&lt;value&gt;hacluster,test&lt;/value&gt;
+&lt;/property&gt;
+&lt;property&gt;
+&lt;name&gt;dfs.namenode.rpc-address.test.16&lt;/name&gt;
+&lt;value&gt;192.168.0.1:8020&lt;/value&gt;
+&lt;/property&gt;
+&lt;property&gt;
+&lt;name&gt;dfs.namenode.rpc-address.test.17&lt;/name&gt;
+&lt;value&gt;192.168.0.2:8020&lt;/value&gt;
+&lt;/property&gt;
+&lt;property&gt;
+&lt;name&gt;dfs.ha.namenodes.test&lt;/name&gt;
+&lt;value&gt;16,17&lt;/value&gt;
+&lt;/property&gt;
+&lt;property&gt;
+&lt;name&gt;dfs.client.failover.proxy.provider.test&lt;/name&gt;
+&lt;value&gt;org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider&lt;/value&gt;
+&lt;/property&gt;</pre>
+</li></ol><ol type="a" start="2" id="mrs_01_2062__ol1215181504216"><li id="mrs_01_2062__li24041549102119">Modify <strong id="mrs_01_2062__b75816387206">spark.yarn.extra.hadoopFileSystems = hdfs://test and spark.hadoop.hdfs.externalToken.enable = true</strong> in the <strong id="mrs_01_2062__b15326045132012">spark-defaults.conf </strong>configuration file under the <strong id="mrs_01_2062__b15562144817201">conf</strong> directory on the Spark client of cluster 1.<pre class="screen" id="mrs_01_2062__screen1318014199251">spark.yarn.extra.hadoopFileSystems = hdfs://test
+spark.hadoop.hdfs.externalToken.enable = true</pre>
+</li></ol><ol type="a" start="3" id="mrs_01_2062__ol18644315446"><li id="mrs_01_2062__li1945532005518">In the application submission command, add the <strong id="mrs_01_2062__b927713119212">--keytab</strong> and <strong id="mrs_01_2062__b1046319313213">--principal</strong> parameters and set them to the user who submits the task in cluster1.</li><li id="mrs_01_2062__li1664163164412">Use the Spark client of cluster1 to submit the application. Then, the two HDFS services can be accessed at the same time.</li></ol>
+</li></ul>
+</li><li id="mrs_01_2062__li1344714364414">Access HBase of two clusters at the same time:<ol type="a" id="mrs_01_2062__ol15182513436"><li id="mrs_01_2062__li1721451519583">Modify <strong id="mrs_01_2062__b109193203212">spark.hadoop.hbase.externalToken.enable = true</strong> in the <strong id="mrs_01_2062__b1659012289215">spark-defaults.conf</strong> configuration file under the <strong id="mrs_01_2062__b793219317210">conf</strong> directory on the Spark client of cluster 1.<pre class="screen" id="mrs_01_2062__screen11233016165820">spark.hadoop.hbase.externalToken.enable = true</pre>
+</li><li id="mrs_01_2062__li131845204315">When accessing HBase, you need to use the configuration file of the corresponding cluster to create a <strong id="mrs_01_2062__b2032033994815">Configuration</strong> object for creating a <strong id="mrs_01_2062__b12325639124812">Connection</strong> object.</li><li id="mrs_01_2062__li1221195744319">In an MRS cluster, tokens of multiple HBase services can be obtained at the same time to solve the problem that the executor cannot access HBase. The method is as follows:<p id="mrs_01_2062__p245442162119"><a name="mrs_01_2062__li1221195744319"></a><a name="li1221195744319"></a>Assume that you need to access HBase of the current cluster and HBase of cluster2. Save the <strong id="mrs_01_2062__b15464814104915">hbase-site.xml</strong> file of cluster2 in a compressed package named <strong id="mrs_01_2062__b1387192274918">external_hbase_conf***</strong>, and use <strong id="mrs_01_2062__b185591253499">--archives</strong> to specify the compressed package when submitting the command.</p>
+</li></ol>
+</li></ul>
+</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2002.html">Common Issues About Spark2x</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2063.html b/docs/mrs/component-operation-guide/mrs_01_2063.html
new file mode 100644
index 000000000..fef282fe1
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2063.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_2063"></a><a name="mrs_01_2063"></a>
+
+<h1 class="topictitle1">Why Does the Foreign Table Query Fail When Multiple Foreign Tables Are Created in the Same Directory?</h1>
+<div id="body1595920225827"><div class="section" id="mrs_01_2063__section1881570174512"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2063__p03056162457">Assume there is a data file path named <strong id="mrs_01_2063__b17311602832921">/test_data_path</strong>. User A creates a foreign table named <strong id="mrs_01_2063__b13499315752921">tableA</strong> for the directory, and user B creates a foreign table named <strong id="mrs_01_2063__b13929054612921">tableB</strong> for the directory. When user B performs the insert operation on <strong id="mrs_01_2063__b14678783012921">tableB</strong>, user A fails to query data using <strong id="mrs_01_2063__b12674519292921">tableA</strong> and the error "Permission denied" is displayed.</p>
+</div>
+<div class="section" id="mrs_01_2063__section10326688454"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2063__p1085722484514">After user B performs the insert operation on <strong id="mrs_01_2063__b10269741622921">tableB</strong>, a new data file is generated in the foreign table path and the file belongs to user B. When user A queries data using <strong id="mrs_01_2063__b4330683272921">tableA</strong>, all files in the foreign table directory are read. In this case, the query fails because user A does not have the read permissions on the file generated by user B.</p>
+<p id="mrs_01_2063__p17857182464516">This problem also occurs in other scenarios. For example, the <strong id="mrs_01_2063__b5980548032921">inset overwrite</strong> operation will also duplicate other table files in this directory.</p>
+<p id="mrs_01_2063__p38571324174517">Due to the Spark SQL implementation mechanism, check restrictions in this scenario will lead to inconsistency and performance deterioration. Therefore, no restriction is added in this scenario, and this method is not recommended.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2002.html">Common Issues About Spark2x</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2064.html b/docs/mrs/component-operation-guide/mrs_01_2064.html
new file mode 100644
index 000000000..f9d5a9842
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2064.html
@@ -0,0 +1,18 @@
+<a name="mrs_01_2064"></a><a name="mrs_01_2064"></a>
+
+<h1 class="topictitle1">What Should I Do If the Native Page of an Application of Spark2x JobHistory Fails to Display During Access to the Page</h1>
+<div id="body1595920226107"><div class="section" id="mrs_01_2064__section158888420481"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2064__p3986745483">After a Spark application that contains a job with millions of tasks. After the application creation is complete, if you access the native page of the application in JobHistory, the native page of the application can be displayed after a long time. If the native page cannot be displayed within 10 minutes, Error information will be generated for the Proxy.</p>
+<div class="fignone" id="mrs_01_2064__fig164529519712"><span class="figcap"><b>Figure 1 </b>Error information example</span><br><span><img id="mrs_01_2064__image9155132974" src="en-us_image_0000001439763713.png"></span></div>
+</div>
+<div class="section" id="mrs_01_2064__section1989414412483"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2064__p119864414483">When you switch to the native page of an application on the JobHistory page, JobHistory needs to play back the event log of the application. If the application contains a large number of event logs, the playback takes a long time and the browser takes a long time to navigate you to the native page.</p>
+<p id="mrs_01_2064__p20986194174811">The current browser uses the HTTPd as the proxy to access the JobHistory native page. The proxy timeout duration is 10 minutes. Therefore, if the JobHistory cannot parse the event log and return the result within 10 minutes, the HTTPd automatically returns the proxy error information to the browser.</p>
+</div>
+<div class="section" id="mrs_01_2064__section389544154811"><h4 class="sectiontitle">Solution</h4><p id="mrs_01_2064__p209861346482">The local disk cache function is enabled on the JobHistory. When a user accesses an application, the event log of the application is cached on the local disk. In this case, the response speed can be greatly accelerated for the second access. Therefore, in this case, you only need to wait for a while and then access the link again. For the second time, you do not need to wait for a long time.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2002.html">Common Issues About Spark2x</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2065.html b/docs/mrs/component-operation-guide/mrs_01_2065.html
new file mode 100644
index 000000000..3c4f10527
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2065.html
@@ -0,0 +1,25 @@
+<a name="mrs_01_2065"></a><a name="mrs_01_2065"></a>
+
+<h1 class="topictitle1">Using the Storm Client</h1>
+<div id="body1595918892486"><div class="section" id="mrs_01_2065__scc6744d7a5a6433f901fa254a6fd8754"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_2065__a8e585bb73a74445ea0e6da54bfdfe7e8">This section describes how to use the Storm client in an O&amp;M scenario or service scenario. </p>
+</div>
+<div class="section" id="mrs_01_2065__s97a1fb645a964d3bada59b808f6cab48"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_2065__ue64417eed22947b4b9c3da90d5b9f302"><li id="mrs_01_2065__l4f6f003302e24ef8bf55bb20afdf8563">You have installed the client. For example, the installation directory is <strong id="mrs_01_2065__b840051073210">/opt/<strong id="mrs_01_2065__b12400111053213">hadoopclient</strong></strong>.</li><li id="mrs_01_2065__la8a352e20c414015a0e60f8023ecc0a5">Service component users are created by the administrator as required. In security mode, machine-machine users have downloaded the keytab file. A human-machine user must change the password upon the first login. (Not involved in normal mode)</li></ul>
+</div>
+<div class="section" id="mrs_01_2065__scd63f70223e14394b9859e5b66d6d978"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_2065__o2df9942ad0534b7d8cafeeb11cc6206a"><li id="mrs_01_2065__li643853813114"><span>Prepare the client based on service requirements. Log in to the node where the client is installed.</span><p><p id="mrs_01_2065__en-us_topic_0264265600_en-us_topic_0264265570_p86481341214"><span id="mrs_01_2065__en-us_topic_0264265600_en-us_topic_0264265570_en-us_topic_0250273528_ph15108105535420">Log in to the node where the client is installed.</span></p>
+</p></li><li id="mrs_01_2065__l15ccdc20458144029e38bd2205f43e33"><span>Run the following command to go to the client installation directory:</span><p><p id="mrs_01_2065__ad7302d93df21428fa879e4b18d330c10"><strong id="mrs_01_2065__a6cb34d9bf7ae47ca858afe7899bc458f">cd /opt/hadoopclient</strong></p>
+</p></li><li id="mrs_01_2065__l0dbf1920decf42e0beb4414bc2739890"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_2065__afe7acac195034938a523ae67dbf49a88"><strong id="mrs_01_2065__acf40e590d6db47dcb5ecbaa0ea59e9f6">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_2065__li1557613391425"><span>If multiple Storm instances are installed, run the following command to load the environment variables of a specific instance when running the Storm command to submit the topology. Otherwise, skip this step. The following command uses the instance Storm-2 as an example.</span><p><p id="mrs_01_2065__p1497814112069"><strong id="mrs_01_2065__b81002491560">source Storm-2/</strong><strong id="mrs_01_2065__b399113614613">component_env</strong></p>
+</p></li><li id="mrs_01_2065__l05cc4c7a5afa4b0fbcfbe121ccf44aaf"><span>Run the following command to perform user authentication (skip this step in normal mode):</span><p><p id="mrs_01_2065__a4b552833a27b496f9ff5ed4b75e6f0f7"><strong id="mrs_01_2065__ad32170dee14a4292b3e30ad217af5a0c">kinit</strong> <em id="mrs_01_2065__a8cf60b3eb570431bb4b4579c53a0d608">Component service user</em></p>
+</p></li><li id="mrs_01_2065__l05d992f48c0d4cc8a300733782d19c7d"><span>Run the following command to perform operations on the client:</span><p><div class="p" id="mrs_01_2065__a7d71f93e28e54dcdbf955c56944ebebf">For example, run the following command:<ul id="mrs_01_2065__u418093d399c144ab9b725a658fe41c17"><li id="mrs_01_2065__lc1e4eee55d7b4670957a6a8ab9347790"><strong id="mrs_01_2065__a15cff41edee743619c57cb4ff705c393">cql</strong></li><li id="mrs_01_2065__l75cccfe1851b4ab58d361eb3061af895"><strong id="mrs_01_2065__a07d3c06bb8f54ae3a5d080b63fbdbbfc">storm</strong></li></ul>
+<div class="note" id="mrs_01_2065__note131625113912"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2065__p191685113914">A Storm client cannot be connected to secure and non-secure ZooKeepers at the same time.</p>
+</div></div>
+</div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0380.html">Using Storm</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2067.html b/docs/mrs/component-operation-guide/mrs_01_2067.html
new file mode 100644
index 000000000..4c7d767ef
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2067.html
@@ -0,0 +1,19 @@
+<a name="mrs_01_2067"></a><a name="mrs_01_2067"></a>
+
+<h1 class="topictitle1">Using Tez</h1>
+<div id="body1594690433055"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_2068.html">Precautions</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2069.html">Common Tez Parameters</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2070.html">Accessing TezUI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2071.html">Log Overview</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2072.html">Common Issues</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2068.html b/docs/mrs/component-operation-guide/mrs_01_2068.html
new file mode 100644
index 000000000..d9cf0557a
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2068.html
@@ -0,0 +1,11 @@
+<a name="mrs_01_2068"></a><a name="mrs_01_2068"></a>
+
+<h1 class="topictitle1">Precautions</h1>
+<div id="body1595919446233"><p id="mrs_01_2068__p8060118">This section applies to MRS 3.<em id="mrs_01_2068__i169881137105019">x</em> or later clusters.</p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2067.html">Using Tez</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2069.html b/docs/mrs/component-operation-guide/mrs_01_2069.html
new file mode 100644
index 000000000..f0e87f571
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2069.html
@@ -0,0 +1,39 @@
+<a name="mrs_01_2069"></a><a name="mrs_01_2069"></a>
+
+<h1 class="topictitle1">Common Tez Parameters</h1>
+<div id="body1594690433055"><div class="section" id="mrs_01_2069__s0b433d56ce2f426aa664c49ac6a37758"><h4 class="sectiontitle">Navigation path for setting parameters:</h4><p id="mrs_01_2069__ac041187e3c39442cbb63effac76adbee">On Manager, choose <strong id="mrs_01_2069__b196259262514">Cluster</strong> &gt; <strong id="mrs_01_2069__b46252261051">Service</strong> &gt; <strong id="mrs_01_2069__b1862592619517">Tez</strong> &gt; <strong id="mrs_01_2069__b146261126951">Configuration</strong> &gt; <strong id="mrs_01_2069__b262672616520">All Configurations</strong>. Enter a parameter name in the search box.</p>
+</div>
+<div class="section" id="mrs_01_2069__section11965171211517"><h4 class="sectiontitle">Parameter description</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2069__tdacd68de57ea4070bdc26a30194e82c8" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_2069__rfc5f0ae05b4e433f87f11f356b09ba69"><th align="left" class="cellrowborder" valign="top" width="33.3033303330333%" id="mcps1.3.2.2.2.4.1.1"><p id="mrs_01_2069__ad599bd7e4cc44d209149381fe75012fe">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="37.593759375937594%" id="mcps1.3.2.2.2.4.1.2"><p id="mrs_01_2069__a849c1891f8294155b36d52626a3fb7ff">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="29.1029102910291%" id="mcps1.3.2.2.2.4.1.3"><p id="mrs_01_2069__a42c610a6ae6a4d589c37328156da5645">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2069__ra90ac380a1cb4086bd0470c042a63a08"><td class="cellrowborder" valign="top" width="33.3033303330333%" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_2069__p1536910511573">property.tez.log.dir</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.593759375937594%" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_2069__a4aedba32457f4584b58c6c1d8494afde">TezUI log directory</p>
+</td>
+<td class="cellrowborder" valign="top" width="29.1029102910291%" headers="mcps1.3.2.2.2.4.1.3 "><p id="mrs_01_2069__p620919113815">/var/log/Bigdata/tez/tezui</p>
+</td>
+</tr>
+<tr id="mrs_01_2069__r1cb3ab176a2a4657bf2208789a1db15e"><td class="cellrowborder" valign="top" width="33.3033303330333%" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_2069__p20110111811814">property.tez.log.level</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.593759375937594%" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_2069__aa807ab81be6e411c9d8a3b49737cf728">TezUI log level</p>
+</td>
+<td class="cellrowborder" valign="top" width="29.1029102910291%" headers="mcps1.3.2.2.2.4.1.3 "><p id="mrs_01_2069__a587906ffb0674f1abf49072848890955">INFO</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2067.html">Using Tez</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2070.html b/docs/mrs/component-operation-guide/mrs_01_2070.html
new file mode 100644
index 000000000..90df5e0f0
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2070.html
@@ -0,0 +1,15 @@
+<a name="mrs_01_2070"></a><a name="mrs_01_2070"></a>
+
+<h1 class="topictitle1">Accessing TezUI</h1>
+<div id="body1594690644251"><p id="mrs_01_2070__p143753154387">Tez displays the Tez task execution process on a GUI. You can view the task execution details on the GUI.</p>
+<div class="section" id="mrs_01_2070__section725019191216"><h4 class="sectiontitle">Prerequisite</h4><p id="mrs_01_2070__p9335439172112">The TimelineServer instance of the Yarn service has been installed.</p>
+</div>
+<div class="section" id="mrs_01_2070__s9c9169711efd4257823c8eba94d8b307"><h4 class="sectiontitle">How to Use</h4><p id="mrs_01_2070__a8f78eb741a8644d7aed46b751771212c">Log in to Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. On Manager, choose <span id="mrs_01_2070__text658510517434"><strong id="mrs_01_2070__b2658819483">Cluster</strong> &gt; </span><strong id="mrs_01_2070__b1666182164813">Services</strong> &gt; <strong id="mrs_01_2070__b724611245482">Tez</strong>. Click the link on the right of <span class="uicontrol" id="mrs_01_2070__ud47e35acc3f844d6ab00c4c9bfd83e68"><b>Tez WebUI</b></span> in the <strong id="mrs_01_2070__b1486510570367">Basic Information</strong> area, and go to Tez web UI. You can view the details about Tez task execution.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2067.html">Using Tez</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2071.html b/docs/mrs/component-operation-guide/mrs_01_2071.html
new file mode 100644
index 000000000..b5007429f
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2071.html
@@ -0,0 +1,138 @@
+<a name="mrs_01_2071"></a><a name="mrs_01_2071"></a>
+
+<h1 class="topictitle1">Log Overview</h1>
+<div id="body1594690433055"><div class="section" id="mrs_01_2071__s4cfaa897839d43d5bfdc2cb9bb7c0928"><h4 class="sectiontitle">Log Description</h4><p id="mrs_01_2071__en-us_topic_0046736734_p42341959"><strong id="mrs_01_2071__b1172224355111947">Log path</strong>: The default save path of Tez logs is <strong id="mrs_01_2071__b228347147111947">/var/log/Bigdata/tez/</strong><em id="mrs_01_2071__i379982028111947">role name</em>.</p>
+<p id="mrs_01_2071__p17253131184">TezUI: <strong id="mrs_01_2071__b335520661111947">/var/log/Bigdata/tez/tezui</strong> (run logs) and <strong id="mrs_01_2071__b1887119180111947">/var/log/Bigdata/audit/tez/tezui</strong> (audit logs)</p>
+<p id="mrs_01_2071__en-us_topic_0046736734_p47145967"><strong id="mrs_01_2071__b831120314111947">Log archive rule</strong>: The automatic compression and archiving function of Tez is enabled. By default, when the size of a log file exceeds 20 MB (which is adjustable), the log file is automatically compressed. The naming rule of the compressed log file is as follows: &lt;<em id="mrs_01_2071__i447613517111947">Original log file name</em>&gt;-&lt;<em id="mrs_01_2071__i422830713111947">yyyy-mm-dd_hh-mm-ss</em>&gt;.[<em id="mrs_01_2071__i584325854111947">ID</em>].<strong id="mrs_01_2071__b1547614477111947">log.zip</strong> A maximum of 20 latest compressed files are retained. The number of compressed files and compression threshold can be configured. </p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2071__en-us_topic_0046736734_table60726989" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Tez log list</caption><thead align="left"><tr id="mrs_01_2071__en-us_topic_0046736734_row27003373"><th align="left" class="cellrowborder" valign="top" width="28.572857285728574%" id="mcps1.3.1.5.2.4.1.1"><p id="mrs_01_2071__en-us_topic_0046736734_p39789633">Log Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="35.713571357135706%" id="mcps1.3.1.5.2.4.1.2"><p id="mrs_01_2071__en-us_topic_0046736734_p1734841">Name</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="35.713571357135706%" id="mcps1.3.1.5.2.4.1.3"><p id="mrs_01_2071__en-us_topic_0046736734_p6304446">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2071__en-us_topic_0046736734_row40898103"><td class="cellrowborder" rowspan="8" valign="top" width="28.572857285728574%" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_2071__en-us_topic_0046736734_p24412045">Run log</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.713571357135706%" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_2071__en-us_topic_0046736734_p31218599">tezui.out</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.713571357135706%" headers="mcps1.3.1.5.2.4.1.3 "><p id="mrs_01_2071__en-us_topic_0046736734_p45678573">Log file that records TezUI running environment information</p>
+</td>
+</tr>
+<tr id="mrs_01_2071__en-us_topic_0046736734_row8453981"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_2071__en-us_topic_0046736734_p13683857">tezui.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_2071__en-us_topic_0046736734_p34650662">Run log of the TezUI process</p>
+</td>
+</tr>
+<tr id="mrs_01_2071__en-us_topic_0046736734_row43420508"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_2071__en-us_topic_0046736734_p27400293">tezui-omm-&lt;<em id="mrs_01_2071__i088691510106">Date</em>&gt;-gc.log.&lt;<em id="mrs_01_2071__i147121813108">No.</em>&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_2071__en-us_topic_0046736734_p4831266">GC log of the TezUI process</p>
+</td>
+</tr>
+<tr id="mrs_01_2071__en-us_topic_0046736734_row15189541"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_2071__en-us_topic_0046736734_p22393284">prestartDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_2071__en-us_topic_0046736734_p1916704">Work logs generated before the TezUI is started</p>
+</td>
+</tr>
+<tr id="mrs_01_2071__en-us_topic_0046736734_row17250336"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_2071__en-us_topic_0046736734_p55099937">check-serviceDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_2071__en-us_topic_0046736734_p33909907">Log file that records whether the TezUI service starts successfully</p>
+</td>
+</tr>
+<tr id="mrs_01_2071__row997161163513"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_2071__p1997181115353">postinstallDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_2071__p997101163514">Work logs after the TezUI is installed</p>
+</td>
+</tr>
+<tr id="mrs_01_2071__en-us_topic_0046736734_row36267164"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_2071__en-us_topic_0046736734_p51959135">startDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_2071__en-us_topic_0046736734_p47940444">Startup log of the TezUI process</p>
+</td>
+</tr>
+<tr id="mrs_01_2071__en-us_topic_0046736734_row28810815"><td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_2071__en-us_topic_0046736734_p51974659">stopDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_2071__en-us_topic_0046736734_p49197844">Stop log of the TezUI process</p>
+</td>
+</tr>
+<tr id="mrs_01_2071__en-us_topic_0046736734_row18983738"><td class="cellrowborder" valign="top" width="28.572857285728574%" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_2071__en-us_topic_0046736734_p61287837">Audit log</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.713571357135706%" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_2071__en-us_topic_0046736734_p65367744">tezui-audit.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.713571357135706%" headers="mcps1.3.1.5.2.4.1.3 "><p id="mrs_01_2071__en-us_topic_0046736734_p60295883">TezUI audit log</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_2071__section1769013409218"><h4 class="sectiontitle">Log Level</h4><p id="mrs_01_2071__en-us_topic_0046736734_p9424991"><a href="#mrs_01_2071__t91045e1a946a46b4bac39028af62f3ad">Table 2</a> describes the log levels supported by TezUI.</p>
+<p id="mrs_01_2071__en-us_topic_0046736734_p25226782">Levels of run logs are ERROR, WARN, INFO, and DEBUG from the highest to the lowest priority. Run logs of equal or higher levels are recorded. The higher the specified log level, the fewer the logs recorded.</p>
+
+<div class="tablenoborder"><a name="mrs_01_2071__t91045e1a946a46b4bac39028af62f3ad"></a><a name="t91045e1a946a46b4bac39028af62f3ad"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2071__t91045e1a946a46b4bac39028af62f3ad" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Log levels</caption><thead align="left"><tr id="mrs_01_2071__en-us_topic_0046736734_row58374663"><th align="left" class="cellrowborder" valign="top" width="39.190000000000005%" id="mcps1.3.2.4.2.3.1.1"><p id="mrs_01_2071__en-us_topic_0046736734_p52951174">Level</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="60.809999999999995%" id="mcps1.3.2.4.2.3.1.2"><p id="mrs_01_2071__en-us_topic_0046736734_p13809081">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2071__en-us_topic_0046736734_row8735540"><td class="cellrowborder" valign="top" width="39.190000000000005%" headers="mcps1.3.2.4.2.3.1.1 "><p id="mrs_01_2071__en-us_topic_0046736734_p36490171">ERROR</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.809999999999995%" headers="mcps1.3.2.4.2.3.1.2 "><p id="mrs_01_2071__en-us_topic_0046736734_p2913837">Logs of this level record error information about system running.</p>
+</td>
+</tr>
+<tr id="mrs_01_2071__en-us_topic_0046736734_row26224539"><td class="cellrowborder" valign="top" width="39.190000000000005%" headers="mcps1.3.2.4.2.3.1.1 "><p id="mrs_01_2071__en-us_topic_0046736734_p43812891">WARN</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.809999999999995%" headers="mcps1.3.2.4.2.3.1.2 "><p id="mrs_01_2071__en-us_topic_0046736734_p59183292">Exception information about the current event processing</p>
+</td>
+</tr>
+<tr id="mrs_01_2071__en-us_topic_0046736734_row62887584"><td class="cellrowborder" valign="top" width="39.190000000000005%" headers="mcps1.3.2.4.2.3.1.1 "><p id="mrs_01_2071__en-us_topic_0046736734_p60729557">INFO</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.809999999999995%" headers="mcps1.3.2.4.2.3.1.2 "><p id="mrs_01_2071__en-us_topic_0046736734_p20147070">Logs of this level record normal running status information about the system and events.</p>
+</td>
+</tr>
+<tr id="mrs_01_2071__en-us_topic_0046736734_row47105906"><td class="cellrowborder" valign="top" width="39.190000000000005%" headers="mcps1.3.2.4.2.3.1.1 "><p id="mrs_01_2071__en-us_topic_0046736734_p57482021">DEBUG</p>
+</td>
+<td class="cellrowborder" valign="top" width="60.809999999999995%" headers="mcps1.3.2.4.2.3.1.2 "><p id="mrs_01_2071__en-us_topic_0046736734_p25532096">Logs of this level record the system information and system debugging information.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_2071__en-us_topic_0046736734_p28462276">To modify log levels, perform the following operations:</p>
+<ol id="mrs_01_2071__ol17706776185419"><li id="mrs_01_2071__li42132031185419"><span>Log in to Manager.</span></li><li id="mrs_01_2071__li43643961185419"><span>Choose <strong id="mrs_01_2071__b2280218141110">Cluster </strong>&gt; <strong id="mrs_01_2071__b17767019101110">Service </strong>&gt; <strong id="mrs_01_2071__b18946121111113">Tez </strong>&gt; <strong id="mrs_01_2071__b25281627131119">Configuration</strong>.</span></li><li id="mrs_01_2071__li57251336185419"><span>Select <strong id="mrs_01_2071__b455677052111947">All Configurations</strong>.</span></li><li id="mrs_01_2071__li45499980185419"><span>In the navigation pane, choose <strong id="mrs_01_2071__b1344933321119">TezUI </strong>&gt; <strong id="mrs_01_2071__b1452812356118">Log</strong>.</span></li><li id="mrs_01_2071__li6846638185419"><span>Select a desired log level.</span></li><li id="mrs_01_2071__li61619743185419"><span>Click <strong id="mrs_01_2071__b129681940171111">Save</strong>. In the dialog box that is displayed, click <strong id="mrs_01_2071__b19337114501119">OK </strong>to save the configuration.</span></li><li id="mrs_01_2071__li11331034203312"><span>Click <strong id="mrs_01_2071__b1798015221111">Instance</strong>, select the <strong id="mrs_01_2071__b1998014522114">TezUI</strong> role, choose <strong id="mrs_01_2071__b598075216115">More</strong> &gt; <strong id="mrs_01_2071__b1698114521113">Restart Instance</strong>, enter the user password, and click <strong id="mrs_01_2071__b29811352191119">OK</strong> in the dialog box that is displayed.</span></li><li id="mrs_01_2071__li6799181595419"><span>Wait until the instance is restarted for the configuration to take effect.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_2071__se5e516e522b84306a70d53ec87072c63"><h4 class="sectiontitle">Log Format</h4><p id="mrs_01_2071__en-us_topic_0046736734_p46940727">The following table lists the Tez log formats.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2071__en-us_topic_0046736734_table19813363" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Log formats</caption><thead align="left"><tr id="mrs_01_2071__en-us_topic_0046736734_row61370790"><th align="left" class="cellrowborder" valign="top" width="24.490000000000002%" id="mcps1.3.3.3.2.4.1.1"><p id="mrs_01_2071__en-us_topic_0046736734_p4978063">Log Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="35.76%" id="mcps1.3.3.3.2.4.1.2"><p id="mrs_01_2071__en-us_topic_0046736734_p569920">Format</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="39.75%" id="mcps1.3.3.3.2.4.1.3"><p id="mrs_01_2071__en-us_topic_0046736734_p46163554">Example</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2071__en-us_topic_0046736734_row48260380"><td class="cellrowborder" valign="top" width="24.490000000000002%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_2071__en-us_topic_0046736734_p16776727">Run log</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.76%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_2071__en-us_topic_0046736734_p16737659">&lt;yyyy-MM-dd HH:mm:ss,SSS&gt;|&lt;LogLevel&gt;|&lt;Thread that generates the log&gt;|&lt;Message in the log&gt;|&lt;Location of the log event&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.75%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_2071__en-us_topic_0046736734_p13573102">2020-07-31 11:44:21,378 | INFO  | TezUI-health-check | Start health check  | com.XXX.tez.HealthCheck.run(HealthCheck.java:30)</p>
+</td>
+</tr>
+<tr id="mrs_01_2071__en-us_topic_0046736734_row55049062"><td class="cellrowborder" valign="top" width="24.490000000000002%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_2071__en-us_topic_0046736734_p29789046">Audit logs</p>
+</td>
+<td class="cellrowborder" valign="top" width="35.76%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_2071__p474462551615">&lt;yyyy-MM-dd HH:mm:ss,SSS&gt;|&lt;LogLevel&gt;|&lt;Thread that generates the log&gt;|&lt;User Name&gt;&lt;User IP&gt;&lt;Time&gt;&lt;Operation&gt;&lt;Resource&gt;&lt;Result&gt;&lt;Detail &gt;|&lt; Location of the log event &gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.75%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_2071__p1372234391619">2018-12-24 12:16:25,319 | INFO  | HiveServer2-Handler-Pool: Thread-185 | UserName=hive  UserIP=10.153.2.204    Time=2018/12/24 12:16:25         Operation=CloseSession Result=SUCCESS  Detail= | org.apache.hive.service.cli.thrift.ThriftCLIService.logAuditEvent(ThriftCLIService.java:434)</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2067.html">Using Tez</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2072.html b/docs/mrs/component-operation-guide/mrs_01_2072.html
new file mode 100644
index 000000000..2d96dd4ae
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2072.html
@@ -0,0 +1,21 @@
+<a name="mrs_01_2072"></a><a name="mrs_01_2072"></a>
+
+<h1 class="topictitle1">Common Issues</h1>
+<div id="body1594690433055"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_2073.html">TezUI Cannot Display Tez Task Execution Details</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2074.html">Error Occurs When a User Switches to the Tez Web UI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2075.html">Yarn Logs Cannot Be Viewed on the TezUI Page</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2076.html">Table Data Is Empty on the TezUI HiveQueries Page</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2067.html">Using Tez</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2073.html b/docs/mrs/component-operation-guide/mrs_01_2073.html
new file mode 100644
index 000000000..94c03948b
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2073.html
@@ -0,0 +1,15 @@
+<a name="mrs_01_2073"></a><a name="mrs_01_2073"></a>
+
+<h1 class="topictitle1">TezUI Cannot Display Tez Task Execution Details</h1>
+<div id="body1594690812822"><div class="section" id="mrs_01_2073__s66e76ef6dd73479398655c776116bb7b"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2073__a162942e7b78a40e7a94c13433cbea0ef">After a user logs in to Manager and switches to the Tez web UI, the submitted Tez tasks are not displayed.</p>
+</div>
+<div class="section" id="mrs_01_2073__sa92aab5ff63e42d291e3b90f1d277e51"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2073__a6c0d011832ce43738e5e1349d8253b18">The Tez task data displayed on the Tez WebUI requires the support of TimelineServer of Yarn. Ensure that TimelineServer has been enabled and is running properly before the task is submitted.</p>
+<p id="mrs_01_2073__p10232175551410">When setting the Hive execution engine to Tez, you need to set <strong id="mrs_01_2073__b176306586165">yarn.timeline-service.enabled</strong> to <strong id="mrs_01_2073__b763525815163">true</strong>. For details, see <a href="mrs_01_1750.html">Switching the Hive Execution Engine to Tez</a>.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2072.html">Common Issues</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2074.html b/docs/mrs/component-operation-guide/mrs_01_2074.html
new file mode 100644
index 000000000..8a74c3ae4
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2074.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_2074"></a><a name="mrs_01_2074"></a>
+
+<h1 class="topictitle1">Error Occurs When a User Switches to the Tez Web UI</h1>
+<div id="body1594690812822"><div class="section" id="mrs_01_2074__s66e76ef6dd73479398655c776116bb7b"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2074__a162942e7b78a40e7a94c13433cbea0ef">When a user logs in to Manager and switches to the Tez web UI, error 404 or 503 is displayed.</p>
+<p id="mrs_01_2074__p46636317341"><span><img id="mrs_01_2074__image9222121453419" src="en-us_image_0000001389429344.png"></span></p>
+<p id="mrs_01_2074__p182450375149"><span><img id="mrs_01_2074__image24201234160" src="en-us_image_0000001388394084.png"></span></p>
+</div>
+<div class="section" id="mrs_01_2074__sa92aab5ff63e42d291e3b90f1d277e51"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2074__a6c0d011832ce43738e5e1349d8253b18">The Tez web UI depends on the TimelineServer instance of Yarn. Therefore, TimelineServer must be installed in advance and in the <strong id="mrs_01_2074__b1754290415112657">Good</strong> state.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2072.html">Common Issues</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2075.html b/docs/mrs/component-operation-guide/mrs_01_2075.html
new file mode 100644
index 000000000..5a6bdf8ac
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2075.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_2075"></a><a name="mrs_01_2075"></a>
+
+<h1 class="topictitle1">Yarn Logs Cannot Be Viewed on the TezUI Page</h1>
+<div id="body1594801618052"><div class="section" id="mrs_01_2075__s66e76ef6dd73479398655c776116bb7b"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2075__a162942e7b78a40e7a94c13433cbea0ef">A user logs in to the Tez web UI and clicks <strong id="mrs_01_2075__b1537600912111931">Logs</strong>, but the Yarn log page fails to be displayed and data cannot be loaded.</p>
+<p id="mrs_01_2075__p16647396342"><span><img id="mrs_01_2075__image3719144017346" src="en-us_image_0000001439709249.png"></span></p>
+</div>
+<div class="section" id="mrs_01_2075__sa92aab5ff63e42d291e3b90f1d277e51"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2075__p99587192418">Currently, the hostname is used for the access to the Yarn log page from the Tez web UI. Therefore, you need to configure the mapping between the hostname and IP address on the Windows host. Perform the following steps:</p>
+<p id="mrs_01_2075__p5855183012244">Modify the <strong id="mrs_01_2075__b126631012195">C:\Windows\System32\drivers\etc\hosts</strong> file on the Windows host and add a line indicating the mapping between the host name and IP address, for example, <strong id="mrs_01_2075__b52680106193">10.244.224.45 10-044-224-45</strong>. Save the modification and access the host again.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2072.html">Common Issues</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2076.html b/docs/mrs/component-operation-guide/mrs_01_2076.html
new file mode 100644
index 000000000..c8061fcb3
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2076.html
@@ -0,0 +1,44 @@
+<a name="mrs_01_2076"></a><a name="mrs_01_2076"></a>
+
+<h1 class="topictitle1">Table Data Is Empty on the TezUI HiveQueries Page</h1>
+<div id="body1594801618052"><div class="section" id="mrs_01_2076__s66e76ef6dd73479398655c776116bb7b"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2076__a162942e7b78a40e7a94c13433cbea0ef">A user logs in to Manager and switches to the Tez web UI page, but no data for the submitted task is displayed on the <strong id="mrs_01_2076__b18756144412210">Hive Queries</strong> page.</p>
+</div>
+<div class="section" id="mrs_01_2076__sa92aab5ff63e42d291e3b90f1d277e51"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2076__a6c0d011832ce43738e5e1349d8253b18">To display task data on the <strong id="mrs_01_2076__b486775204210">Hive Queries</strong> page on the Tez web UI, you need to set the following parameters:</p>
+<p id="mrs_01_2076__p9864547173210">On FusionInsight Manager, choose <span id="mrs_01_2076__text3710746172317"><strong id="mrs_01_2076__b27041246102318">Cluster</strong> &gt; </span><strong id="mrs_01_2076__b177122469232">Service </strong>&gt; <strong id="mrs_01_2076__b1713154612235">Hive </strong> and click the <strong id="mrs_01_2076__b271512466237">Configurations</strong> tab and then <strong id="mrs_01_2076__b1271654614231">All Configurations</strong>. In the navigation pane on the left, choose <strong id="mrs_01_2076__b1271844682320">HiveServer</strong> &gt; <strong id="mrs_01_2076__b117193462239">Customization</strong>. Add the following configuration to <strong id="mrs_01_2076__b7721346112314">hive-site.xml</strong>:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2076__table12832164763211" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_2076__row16864947103218"><th align="left" class="cellrowborder" valign="top" width="36.3%" id="mcps1.3.2.4.1.3.1.1"><p id="mrs_01_2076__p586464717328">Attribute</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="63.7%" id="mcps1.3.2.4.1.3.1.2"><p id="mrs_01_2076__p78641847203213"><strong id="mrs_01_2076__b1864347103216">Attribute Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2076__row8864947123214"><td class="cellrowborder" valign="top" width="36.3%" headers="mcps1.3.2.4.1.3.1.1 "><p id="mrs_01_2076__p886411474329">hive.exec.pre.hooks</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.7%" headers="mcps1.3.2.4.1.3.1.2 "><p id="mrs_01_2076__p486424710329">org.apache.hadoop.hive.ql.hooks.ATSHook</p>
+</td>
+</tr>
+<tr id="mrs_01_2076__row3864347123219"><td class="cellrowborder" valign="top" width="36.3%" headers="mcps1.3.2.4.1.3.1.1 "><p id="mrs_01_2076__p16864447173212">hive.exec.post.hooks</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.7%" headers="mcps1.3.2.4.1.3.1.2 "><p id="mrs_01_2076__p586510474324">org.apache.hadoop.hive.ql.hooks.ATSHook</p>
+</td>
+</tr>
+<tr id="mrs_01_2076__row6865184793211"><td class="cellrowborder" valign="top" width="36.3%" headers="mcps1.3.2.4.1.3.1.1 "><p id="mrs_01_2076__p786510478327">hive.exec.failure.hooks</p>
+</td>
+<td class="cellrowborder" valign="top" width="63.7%" headers="mcps1.3.2.4.1.3.1.2 "><p id="mrs_01_2076__p148651447133217">org.apache.hadoop.hive.ql.hooks.ATSHook</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_2076__note18386764172759"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2076__p31263156172759">Data display on TezUI depends on the TimelineServer instance of Yarn. If the TimelineServer instance is faulty or not started, you need to set <strong id="mrs_01_2076__b1039358298112816">yarn.timeline-service.enabled</strong> to <strong id="mrs_01_2076__b885442494112816">false</strong> in <strong id="mrs_01_2076__b1217080006112816">yarn-site.xml</strong>. Otherwise, the Hive task fails to be executed.</p>
+</div></div>
+</div>
+<p id="mrs_01_2076__p1328810389547">After you configure the parameters and re-execute the Hive task, data can be displayed on the <strong id="mrs_01_2076__b268491116">Hive Queries</strong> page. However, data of previous tasks cannot be displayed.</p>
+<p id="mrs_01_2076__p763595817295"><span><img id="mrs_01_2076__image3951155911297" src="en-us_image_0000001387925652.png"></span></p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2072.html">Common Issues</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2077.html b/docs/mrs/component-operation-guide/mrs_01_2077.html
new file mode 100644
index 000000000..348f737a3
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2077.html
@@ -0,0 +1,42 @@
+<a name="mrs_01_2077"></a><a name="mrs_01_2077"></a>
+
+<h1 class="topictitle1">Common Issues About Yarn</h1>
+<div id="body1596167575143"><p id="mrs_01_2077__p8060118"></p>
+</div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_2078.html">Why Mounted Directory for Container is Not Cleared After the Completion of the Job While Using CGroups?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2079.html">Why the Job Fails with HDFS_DELEGATION_TOKEN Expired Exception?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2080.html">Why Are Local Logs Not Deleted After YARN Is Restarted?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2081.html">Why the Task Does Not Fail Even Though AppAttempts Restarts for More Than Two Times?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2082.html">Why Is an Application Moved Back to the Original Queue After ResourceManager Restarts?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2083.html">Why Does Yarn Not Release the Blacklist Even All Nodes Are Added to the Blacklist?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2084.html">Why Does the Switchover of ResourceManager Occur Continuously?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2085.html">Why Does a New Application Fail If a NodeManager Has Been in Unhealthy Status for 10 Minutes?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2087.html">Why Does an Error Occur When I Query the ApplicationID of a Completed or Non-existing Application Using the RESTful APIs?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2088.html">Why May A Single NodeManager Fault Cause MapReduce Task Failures in the Superior Scheduling Mode?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2089.html">Why Are Applications Suspended After They Are Moved From Lost_and_Found Queue to Another Queue?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2090.html">How Do I Limit the Size of Application Diagnostic Messages Stored in the ZKstore?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2091.html">Why Does a MapReduce Job Fail to Run When a Non-ViewFS File System Is Configured as ViewFS?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24051.html">Why Do Reduce Tasks Fail to Run in Some OSs After the Native Task Feature is Enabled?</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0851.html">Using Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2078.html b/docs/mrs/component-operation-guide/mrs_01_2078.html
new file mode 100644
index 000000000..64a672916
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2078.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_2078"></a><a name="mrs_01_2078"></a>
+
+<h1 class="topictitle1">Why Mounted Directory for Container is Not Cleared After the Completion of the Job While Using CGroups?</h1>
+<div id="body1596167575145"><div class="section" id="mrs_01_2078__sa3f99509c3444240a01dca4fa8a67065"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2078__a810cdcf8b9c4462cab43868058ad7818">Why mounted directory for Container is not cleared after the completion of the job while using CGroups?</p>
+</div>
+<div class="section" id="mrs_01_2078__s0485e66984504910a11acf421b20115c"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2078__a5bf2f424ede24fea93d445bf95468378">The mounted path for the Container should be cleared even if job is failed.</p>
+</div>
+<p id="mrs_01_2078__a79b9cee51ab04fe1b8faa1c6615ff5f2">This happens due to the deletion timeout. Some task takes more time to complete than the deletion time.</p>
+<p id="mrs_01_2078__ae85e2738b22d40069b908b62155f6238">To avoid this scenario, you can go to the <strong id="mrs_01_2078__b696644013714">All Configurations</strong> page of Yarn by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>. Search for the <span class="parmname" id="mrs_01_2078__p6881a8f05b4340129b53ccb87c908208"><b>yarn.nodemanager.linux-container-executor.cgroups.delete-timeout-ms</b></span> configuration item in the search box to change the deletion interval. The value is in milliseconds.</p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2077.html">Common Issues About Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2079.html b/docs/mrs/component-operation-guide/mrs_01_2079.html
new file mode 100644
index 000000000..454d1ba69
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2079.html
@@ -0,0 +1,19 @@
+<a name="mrs_01_2079"></a><a name="mrs_01_2079"></a>
+
+<h1 class="topictitle1">Why the Job Fails with HDFS_DELEGATION_TOKEN Expired Exception?</h1>
+<div id="body1596167575146"><div class="section" id="mrs_01_2079__sb09c19490efc4c6b863b581150627847"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2079__aa5516832f06b4638aef6b35214a8d791">Why is the HDFS_DELEGATION_TOKEN expired exception reported when a job fails in security mode?</p>
+</div>
+<div class="section" id="mrs_01_2079__s20e9c62912e54d86b11f4a2ff2190380"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2079__a173c4a4b91bf4169ad6f7ea8aa3586bc">HDFS_DELEGATION_TOKEN expires because the token is not updated or it is accessed after max. lifetime.</p>
+<p id="mrs_01_2079__a834de3088de445f9879f9ea0960dbfc1">Ensure the following parameter value of max. lifetime of the token is greater than the job running time.</p>
+<p id="mrs_01_2079__a2234aeda440341ecaa30d3e4f30ed63c"><span class="parmname" id="mrs_01_2079__pafbec81e23c84edc94d16d83e436091c"><b>dfs.namenode.delegation.token.max-lifetime</b></span>=<span class="parmvalue" id="mrs_01_2079__p45d3bb646452470d980e664e9ec30f33"><b>604800000</b></span> (1 week by default)</p>
+<p id="mrs_01_2079__p181181238201018">Go to the <strong id="mrs_01_2079__b15996132119392">All Configurations</strong> page of HDFS by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a> and search for this parameter in the search box.</p>
+<div class="note" id="mrs_01_2079__n368106accd4d4b16b9df9dbf16bd4244"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2079__a0ea4ceae6e1d46a9937288c856f667ad">You are advised to set this parameter to a value that is multiple times of the number of hours within the max. lifecycle of the token.</p>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2077.html">Common Issues About Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2080.html b/docs/mrs/component-operation-guide/mrs_01_2080.html
new file mode 100644
index 000000000..35f095a30
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2080.html
@@ -0,0 +1,15 @@
+<a name="mrs_01_2080"></a><a name="mrs_01_2080"></a>
+
+<h1 class="topictitle1">Why Are Local Logs Not Deleted After YARN Is Restarted?</h1>
+<div id="body1596167575148"><div class="section" id="mrs_01_2080__s9a6c6e69795c4e7aabbaa8904f3f3d11"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2080__aae09afba79134ad7bd77939b06df37cb">If Yarn is restarted in either of the following scenarios, local logs will not be deleted as scheduled and will be retained permanently:</p>
+<ul id="mrs_01_2080__u91ed7391bf054d2fb9639c952384c514"><li id="mrs_01_2080__l7edc5ae9f30e48cb9dddadf7a9a830a9">When Yarn is restarted during task running, local logs are not deleted.</li><li id="mrs_01_2080__l4dc3c70c8e2d4ed782f392d5e2b9cbbb">When the task is complete and logs fail to be collected, restart Yarn before the logs are cleared as scheduled. In this case, local logs are not deleted.</li></ul>
+</div>
+<div class="section" id="mrs_01_2080__sdd9127af28534c7d8643595fc05b2e1e"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2080__a87127a1090564fb4af90f79f7853843d">NodeManager has a restart recovery mechanism (for details, see <a href="https://hadoop.apache.org/docs/r3.1.1/hadoop-yarn/hadoop-yarn-site/NodeManager.html#NodeManager_Restart" target="_blank" rel="noopener noreferrer">https://hadoop.apache.org/docs/r3.1.1/hadoop-yarn/hadoop-yarn-site/NodeManager.html#NodeManager_Restart</a>). Go to the <strong id="mrs_01_2080__b13279182414401">All Configurations</strong> page of Yarn by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>. Set <span class="parmname" id="mrs_01_2080__pe996b5ae1dd84031b990c9a6b4986ed9"><b>yarn.nodemanager.recovery.enabled</b></span> of NodeManager to <span class="parmvalue" id="mrs_01_2080__pcd08c9edea584cedbdfcfd4aa78c6dd8"><b>true</b></span> to make the configuration take effect. The default value is <span class="parmvalue" id="mrs_01_2080__p0cb503dbeb594682b2209ef8be17fc56"><b>true</b></span>. In this way, redundant local logs are periodically deleted when the YARN is restarted.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2077.html">Common Issues About Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2081.html b/docs/mrs/component-operation-guide/mrs_01_2081.html
new file mode 100644
index 000000000..5992ecc4a
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2081.html
@@ -0,0 +1,15 @@
+<a name="mrs_01_2081"></a><a name="mrs_01_2081"></a>
+
+<h1 class="topictitle1">Why the Task Does Not Fail Even Though AppAttempts Restarts for More Than Two Times?</h1>
+<div id="body1596167575149"><div class="section" id="mrs_01_2081__s9bc949c2c3514f1485614482d20d9a30"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2081__a1ea80f7689d04e01bfe6f54e7526fb12">Why the task does not fail even though AppAttempts restarts due to failure for more than two times?</p>
+</div>
+<div class="section" id="mrs_01_2081__s290257a7da85461c9339e36f16e0f9e8"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2081__a9e4572d5f8364802b47645cde11c1916">During the task execution process, if the <strong id="mrs_01_2081__a9d2b30361c7a4da5bae1955816970b98">ContainerExitStatus</strong> returns value <strong id="mrs_01_2081__aa21c292dbf0a4731be103d7dadfcc957">ABORTED</strong>, <strong id="mrs_01_2081__a0b007773d01d45f5acd7691a05ceafd7">PREEMPTED</strong>, <strong id="mrs_01_2081__a08aae642716749ed8d3da04deaf176d1">DISKS_FAILED</strong>, or <strong id="mrs_01_2081__aec2c80fa04964e6a883f8202ae9247ef">KILLED_BY_RESOURCEMANAGER</strong>, the system will not count it as a failed attempt. Therefore, the task fails only when the AppAttempts fails actually, that is, the return value is not <strong id="mrs_01_2081__a77f9d0d5dc324124a6a157ed30e8c5e9">ABORTED</strong>, <strong id="mrs_01_2081__ae69020cddcdd4d88beecf6a379a08a70">PREEMPTED</strong>, <strong id="mrs_01_2081__a8da2a622eef6475a8193a10f9c72bfea">DISKS_FAILED</strong>, or <strong id="mrs_01_2081__a0791c2a6619b4b00906c86854f9c6af8">KILLED_BY_RESOURCEMANAGER</strong> for two times.</p>
+</div>
+<p id="mrs_01_2081__af22ff78dfbeb4b668eda868393fbf9fd"></p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2077.html">Common Issues About Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2082.html b/docs/mrs/component-operation-guide/mrs_01_2082.html
new file mode 100644
index 000000000..ae4cc19c8
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2082.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_2082"></a><a name="mrs_01_2082"></a>
+
+<h1 class="topictitle1">Why Is an Application Moved Back to the Original Queue After ResourceManager Restarts?</h1>
+<div id="body1596167575150"><div class="section" id="mrs_01_2082__s74cc4d418e3b485398a60c5882be992a"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2082__acd2af8cd2ce746448840d6058304f556">After I moved an application from one queue to another, why is it moved back to the original queue after ResourceManager restarts?</p>
+</div>
+<div class="section" id="mrs_01_2082__s91e3ac2ded4540159f64ea8607708eb9"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2082__acff01219dde8488b8c5a418e15cc7851">This problem is caused by the constraints of the ResourceManager. If a running application is moved to another queue, information about the new queue will not be stored in the ResourceManager after the ResourceManager restarts.</p>
+<p id="mrs_01_2082__a541fd301a34e45deb07d3d8fd1f6fee1">Assume that a user submits a MapReduce application to the leaf queue test11. If the leaf queue test11 is deleted when the application is running, the application will go to the lost_and found queue and the application stops. To start the application, the user moves the application to the leaf queue test21 and the application resumes running. If the ResourceManager restarts, the displayed submission queue is lost_and_found, but not test21.</p>
+<p id="mrs_01_2082__af22af91ea9354fe897f8e913af6e6d22">If the application is not complete, the ResourceManager only stores the queue information before the application is moved. As a result, the application is moved back to the original queue. To solve this problem, move the application again after the ResourceManager is restarted to write information about the new queue to the ResourceManager.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2077.html">Common Issues About Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2083.html b/docs/mrs/component-operation-guide/mrs_01_2083.html
new file mode 100644
index 000000000..aebd5d991
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2083.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_2083"></a><a name="mrs_01_2083"></a>
+
+<h1 class="topictitle1">Why Does Yarn Not Release the Blacklist Even All Nodes Are Added to the Blacklist? </h1>
+<div id="body1596167575151"><div class="section" id="mrs_01_2083__scec6e1e66a95439b9e00d598dea2b165"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2083__a7645f3cce1004488a6627387dcaf0b37">Why does Yarn not release the blacklist even all nodes are added to the blacklist?</p>
+</div>
+<div class="section" id="mrs_01_2083__s7df55e462f034e2190f70ae1c669afe4"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2083__ad4aaab0e10fd40f1a5149c1802249a0c">In Yarn, when the number of application nodes added to the blacklist by ApplicationMaster (AM) reaches a certain proportion (the default value is 33% of the total number of nodes), the AM automatically releases the blacklist. In this way, all available nodes are added to the blacklist and tasks can obtain node resources.</p>
+<p id="mrs_01_2083__a135aee8ad72846898adda53c3cdb550b">Assume that there are 8 nodes in a cluster and they are divided in to pool A and pool B by NodeLabel. There are two nodes in pool B. A user submits a task App1 to pool B, but there is not sufficient HDFS space and App1 fails to run. As a result, two nodes in pool B are added to the blacklist by the AM of App1. According to the preceding principles, 2 is less than the 33% of 8. Therefore, Yarn does not release the blacklist, and App1 cannot obtain resources and keeps running. Even if the node that is added to the blacklisted is recovered, App1 still cannot obtain resources. </p>
+<p id="mrs_01_2083__a30d692b5770d47b7a0263c267cf8a8f4">The preceding principles do not apply to the resource pool scenario. Therefore, you can change the value of the client parameter <strong id="mrs_01_2083__b1385315436421">yarn.resourcemanager.am-scheduling.node-blacklisting-disable-threshold</strong> to <strong id="mrs_01_2083__b76558118431">(nodes number of pool / total nodes )* 33%</strong> to solve this problem.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2077.html">Common Issues About Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2084.html b/docs/mrs/component-operation-guide/mrs_01_2084.html
new file mode 100644
index 000000000..e6bbb9ac2
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2084.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_2084"></a><a name="mrs_01_2084"></a>
+
+<h1 class="topictitle1">Why Does the Switchover of ResourceManager Occur Continuously?</h1>
+<div id="body1596167575153"><div class="section" id="mrs_01_2084__s726b5a5b9ad342f5b4660b45c8d7612f"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2084__a73b0f8c6d5194e858e80fa3a6fa53535">The switchover of ResourceManager occurs continuously when multiple, for example 2,000, tasks are running concurrently, causing the Yarn service unavailable.</p>
+</div>
+<div class="section" id="mrs_01_2084__s2bd8969538e845cdbb4e63427e310d17"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2084__af03a4258bc7f4796bcbe01a34e0ca042">The cause is that the time of full GabageCollection exceeds the interaction duration threshold between the ResourceManager and ZooKeeper duration threshold. As a result, the connection between the ResourceManager and ZooKeeper fails and the switchover of ResourceManager occurs continuously.</p>
+<p id="mrs_01_2084__af3dfc3fd86284a4ca770fba86b9cfcf7">When there are multiple tasks, ResourceManager saves the authentication information about multiple tasks and transfers the information to NodeManagers through heartbeat, which is called heartbeat response. The lifecycle of heartbeat response is short. The default value is 1s. Normally, heartbeat response can be reclaimed during the JVM minor GabageCollection. However, if there are multiple tasks and there are a lot of nodes, for example 5000 nodes, in the cluster, the heartbeat response of multiple nodes occupy a large amount of memory. As a result, the JVM cannot completely reclaim the heartbeat response during minor GabageCollection. The heartbeat response failed to be reclaimed accumulate and the JVM full GabageCollection is triggered. The JVM GabageCollection is in a blocking mode, in other words, no jobs are performed during the GabageCollection. Therefore, if the duration of full GabageCollection exceeds the periodical interaction duration threshold between the ResourceManager and ZooKeeper, the switchover occurs.</p>
+<p id="mrs_01_2084__aafee3834b4bb4ab582d4fcc9731cd36d">Log in to FusionInsight Manager, choose <strong id="mrs_01_2084__b1745312818479">Cluster</strong> &gt; <strong id="mrs_01_2084__b1245322811472">Services</strong> &gt; <strong id="mrs_01_2084__b154533285471">Yarn</strong>, and click the <strong id="mrs_01_2084__b17454228114718">Configurations</strong> tab and then <strong id="mrs_01_2084__b9454162834711">All Configurations</strong>. In the navigation pane on the left, choose <strong id="mrs_01_2084__b13454142864711">Yarn </strong>&gt; <strong id="mrs_01_2084__b1745492813471">Customization</strong>, and add the <span class="parmname" id="mrs_01_2084__parmname1845462894716"><b>yarn.resourcemanager.zk-timeout-ms</b></span> parameter to the <span class="filepath" id="mrs_01_2084__filepath145422844712"><b>yarn.yarn-site.customized.configs</b></span> file to increase the threshold of the periodic interaction duration between ResourceManager and ZooKeeper (the value range is less than or equal to 90,000 ms). In this way, the problem of continuous active/standby ResourceManager switchover can be solved.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2077.html">Common Issues About Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2085.html b/docs/mrs/component-operation-guide/mrs_01_2085.html
new file mode 100644
index 000000000..111bd96a5
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2085.html
@@ -0,0 +1,18 @@
+<a name="mrs_01_2085"></a><a name="mrs_01_2085"></a>
+
+<h1 class="topictitle1">Why Does a New Application Fail If a NodeManager Has Been in Unhealthy Status for 10 Minutes?</h1>
+<div id="body1596167575154"><div class="section" id="mrs_01_2085__sd5412548b6c1475b9d11a352395fe905"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2085__aa610bfda21ad40c28e157dc57ea2c6a8">Why does a new application fail if a NodeManager has been in unhealthy status for 10 minutes?</p>
+</div>
+<div class="section" id="mrs_01_2085__se51b49a80319485db8fbc3fd28ce98e8"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2085__a30bf31c25da34deba3e5fc86076919b3">When <strong id="mrs_01_2085__b161329353392241">nodeSelectPolicy</strong> is set to <strong id="mrs_01_2085__b168755392892241">SEQUENCE</strong> and the first NodeManager connected to the ResourceManager is unavailable, the ResourceManager attempts to assign tasks to the same NodeManager in the period specified by <span class="parmname" id="mrs_01_2085__p92d6fc5a60ea41b69cc6d9430539346e"><b>yarn.nm.liveness-monitor.expiry-interval-ms</b></span>.</p>
+<p id="mrs_01_2085__ac56e638968a147cb88b57a336e63da0f">You can use either of the following methods to avoid the preceding problem:</p>
+<ul id="mrs_01_2085__u902b4b360da04c80a7f88b9c97206f60"><li id="mrs_01_2085__lf2bf3eb3ca5b4e0cb9fdf9b00cb64bab">Use another nodeSelectPolicy, for example, <strong id="mrs_01_2085__b173484191292241">RANDOM</strong>.</li><li id="mrs_01_2085__l51529937c3d7498abdeaa186fcf59ecb">Go to the <strong id="mrs_01_2085__b9473165214711">All Configurations</strong> page of Yarn by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>. Search for the following parameters in the search box and modify the following attributes in the <span class="filepath" id="mrs_01_2085__fee7a0b21161d499a8ed8ae68ff7f56b3"><b>yarn-site.xml</b></span> file:<p id="mrs_01_2085__a4273c437ee5f4cd8938b37a88f2c99f9"><strong id="mrs_01_2085__b108317946192241">yarn.resourcemanager.am-scheduling.node-blacklisting-enabled</strong> = <strong id="mrs_01_2085__b95322688492241">true</strong>;</p>
+<p id="mrs_01_2085__a1dcfd372b54044c0ad457152322bd4b7"><strong id="mrs_01_2085__b69425208892241">yarn.resourcemanager.am-scheduling.node-blacklisting-disable-threshold</strong> = <strong id="mrs_01_2085__b132048581692241">0.5</strong>.</p>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2077.html">Common Issues About Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2087.html b/docs/mrs/component-operation-guide/mrs_01_2087.html
new file mode 100644
index 000000000..ed480eb26
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2087.html
@@ -0,0 +1,14 @@
+<a name="mrs_01_2087"></a><a name="mrs_01_2087"></a>
+
+<h1 class="topictitle1">Why Does an Error Occur When I Query the ApplicationID of a Completed or Non-existing Application Using the RESTful APIs?</h1>
+<div id="body1596167575157"><div class="section" id="mrs_01_2087__sed1a19e4f83a4885a7b78d921350fb22"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2087__ae98a60a3a981456aa30e6966d61761d0">Why does an error occur when I query the applicationID of a completed or non-existing application using the RESTful APIs?</p>
+</div>
+<div class="section" id="mrs_01_2087__s3e51c73e2bb74d19a1c47c6b7c612f92"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2087__afd735f0a479b4b92b393547097050f31">The Superior scheduler only stores the applicationIDs of running applications. If you view the applicationID of a completed or non-existing application by accessing the RESTful API at <span class="filepath" id="mrs_01_2087__faa41fb9ab003482da1737e19009de7da"><b>https://&lt;SS_REST_SERVER&gt;/ws/v1/sscheduler/applications/{application_id}</b></span>. the 404 error is returned by the server. If Chrome web browser is used, the <span class="uicontrol" id="mrs_01_2087__udbe72175b4764d7f859a8ebf6909c71e"><b>Error Occurred</b></span> message is displayed because chrome preferentially responds in the application/xml format. If Internet Explorer is used, the <span class="uicontrol" id="mrs_01_2087__ucabe397b67564578821d35a07ae76584"><b>404</b></span> error code is displayed because IE web browser preferentially responds in the application/json format.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2077.html">Common Issues About Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2088.html b/docs/mrs/component-operation-guide/mrs_01_2088.html
new file mode 100644
index 000000000..3c323c62a
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2088.html
@@ -0,0 +1,19 @@
+<a name="mrs_01_2088"></a><a name="mrs_01_2088"></a>
+
+<h1 class="topictitle1">Why May A Single NodeManager Fault Cause MapReduce Task Failures in the Superior Scheduling Mode?</h1>
+<div id="body1596167575158"><div class="section" id="mrs_01_2088__se3728c8fc4dc45509719164ffde19fbb"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2088__a7d268a1ef60e421b81931cf2b1b6bb85">In Superior scheduling mode, if a single NodeManager is faulty, why may the MapReduce tasks fail?</p>
+</div>
+<div class="section" id="mrs_01_2088__s5cbb7f78383e4835a3c2107a5b87acd9"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2088__a9791cab599fb4343aad1e5aec346bfd3">In normal cases, when the attempt of a single task of an application fails on a node for three consecutive times, the AppMaster of the application adds the node to the blacklist. Then, the AppMaster instructs the scheduler not to schedule the task to the node to avoid task failure.</p>
+<p id="mrs_01_2088__aba2a879bd6954da39a2cf7c6e70a7761">However, by default, if 33% nodes in the cluster are added to the blacklist, the scheduler ignores the blacklisted nodes. Therefore, the blacklist feature is prone to become invalid in small cluster scenarios. For example, there are only three nodes in the cluster. If one node is faulty, the blacklist mechanism becomes invalid. The scheduler continues to schedule the task to the node no matter how many times the attempt of the task fails on the node. As a result, the number of attempts of the task reaches the maximum (4 times by default for MapReduce). And the MapReduce tasks failed.</p>
+<p id="mrs_01_2088__aa5d2cde0ff9644a6a2f74de56527aff3">Workaround:</p>
+<p id="mrs_01_2088__a122a2b5fb9e940a89b3dd9d5eb9ef722">The <strong id="mrs_01_2088__b195681832154810">yarn.resourcemanager.am-scheduling.node-blacklisting-disable-threshold</strong> parameter indicates the threshold for ignoring blacklisted nodes, in percentage. You are advised to increase the value of this parameter based on the cluster scale. For example, you are advised to set this parameter to <strong id="mrs_01_2088__b134082504487">50%</strong> for a three-node cluster.</p>
+<div class="note" id="mrs_01_2088__neb4635a266c64cd8b967f7fe1a1b552e"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2088__ab19e6a17b1be4c2785154d1ff70f9c96">The framework design of the Superior scheduler is time-based asynchronous scheduling. When the NodeManager is faulty, ResourceManager cannot quickly detect that the NodeManager is faulty (10 minutes by default). Therefore, the Superior scheduler still schedules tasks to the node, causing task failures.</p>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2077.html">Common Issues About Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2089.html b/docs/mrs/component-operation-guide/mrs_01_2089.html
new file mode 100644
index 000000000..26afb5652
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2089.html
@@ -0,0 +1,17 @@
+<a name="mrs_01_2089"></a><a name="mrs_01_2089"></a>
+
+<h1 class="topictitle1">Why Are Applications Suspended After They Are Moved From Lost_and_Found Queue to Another Queue?</h1>
+<div id="body1596167575160"><div class="section" id="mrs_01_2089__s41c6c3a156a1487eb51281a9970948e5"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2089__a0c3def522568492d86e65ec7923896a3">When a queue is deleted when there are applications running in it, these applications are moved to the "lost_and_found" queue. When these applications are moved back to another healthy queue, some tasks are suspended.</p>
+</div>
+<div class="section" id="mrs_01_2089__s6404354f726d4b01b918a2c6a6827e59"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2089__a279f8f1febf9444190a9befc7e2e4ef9">If no label expression is set for the current application, the default label expression of the queue is used as label expression for new container/resource demands requested by the application. If there is no default label expression of the queue, then <span class="parmvalue" id="mrs_01_2089__p82607ba2e1704fbcb53ca73e1fd1be0d"><b>default label</b></span> is considered as the label expression for new container/resource demands requested by the application.</p>
+<p id="mrs_01_2089__ade6351e3a8ee4d089568a36259eaff7a">When application app1 is submitted to the queue Q1, <span class="parmvalue" id="mrs_01_2089__p74a8da1178d4427dbbff737251f68e4a"><b>label1</b></span>, the default label expression of the queue, is used for the application's new resource requests/ containers. If Q1 is deleted when app1 is running, app1 is moved to the "lost_and_found" queue. Because there is no label expression of the "lost_and_found" queue, <span class="parmvalue" id="mrs_01_2089__ped39405f7d7442959fbcf3bc53952150"><b>default label</b></span> is used as the label expression of app1's new resource requests/containers. Assume that app1 is moved to another normal queue Q2. If Q2 supports <span class="parmvalue" id="mrs_01_2089__pef5cf4f591524f0f929de2ce35929274"><b>label1</b></span> and <span class="parmvalue" id="mrs_01_2089__p4e88a17b0fc343c5a11b4c8c17760f68"><b>default label</b></span>, app1 can run properly. If Q2 does not support <span class="parmname" id="mrs_01_2089__pc0e400034eaf4dfdb25911c0abf30ad7"><b>label1</b></span> or <span class="parmvalue" id="mrs_01_2089__p660dd4ad4bee4d609663c61225c9b5ea"><b>default label</b></span>, the resource request with <span class="parmvalue" id="mrs_01_2089__paa5c369eff9c4794b5b7d6eb67e76a45"><b>label1</b></span> or <span class="parmvalue" id="mrs_01_2089__pcda1285867994336af79036c1107130f"><b>default label</b></span> cannot obtain resources, causing task suspension.</p>
+<p id="mrs_01_2089__a1721193ceb23419486172bcc869220b2">To solve this problem, ensure that the queue to which the application is moved from "lost_and_found" queue supports label expression of the moved application.</p>
+<p id="mrs_01_2089__a453743c4dd9d451f9d8f176fc48d57da">You are not advised to delete a queue in which there are running applications.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2077.html">Common Issues About Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2090.html b/docs/mrs/component-operation-guide/mrs_01_2090.html
new file mode 100644
index 000000000..8c9e6516d
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2090.html
@@ -0,0 +1,34 @@
+<a name="mrs_01_2090"></a><a name="mrs_01_2090"></a>
+
+<h1 class="topictitle1">How Do I Limit the Size of Application Diagnostic Messages Stored in the ZKstore?</h1>
+<div id="body1596167575162"><div class="section" id="mrs_01_2090__sde9c783050fc4212b7e6a3fb3a97bfe1"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2090__aa6e2d5fb23d346da859e7a4c6881c614">How do I limit the size of application diagnostic messages stored in the ZKstore?</p>
+</div>
+<div class="section" id="mrs_01_2090__s8f7964109be94e5bb112205456ccc79d"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2090__a5248ffdb4be44946914cdb5476747a3d">In some cases, it has been observed that diagnostic messages may grow infinitely. Because diagnostic messages are stored in the ZKstore, it is not recommended that you allow diagnostic messages to grow indefinitely. Therefore, a property parameter is needed to set the maximum size of the diagnostic message.</p>
+<p id="mrs_01_2090__aefec61fc3ce447d28511b451608bd626">If you need to set <strong id="mrs_01_2090__b839412516484">yarn.app.attempt.diagnostics.limit.kc</strong>, go to the <strong id="mrs_01_2090__b1332181118489">All Configurations</strong> page by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a> and search for the following parameters in the search box:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2090__t99878883bc3b4183b1a4e48f06d18231" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_2090__r15811405120f4254800e9aee3d94a10c"><th align="left" class="cellrowborder" valign="top" width="24.8%" id="mcps1.3.2.4.2.4.1.1"><p id="mrs_01_2090__a2bf35bf97d3842c385af657a6e50f100">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="62.980000000000004%" id="mcps1.3.2.4.2.4.1.2"><p id="mrs_01_2090__a0722ed99cd0542dbbbf60aec8fd092a7">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="12.22%" id="mcps1.3.2.4.2.4.1.3"><p id="mrs_01_2090__a3ac4ba8913ad4cfe86f293705ad6c460">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2090__r40102cf51aee49d881588f055acc2dd7"><td class="cellrowborder" valign="top" width="24.8%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_2090__a7fc86381d52a474a9b709e886230bde8">yarn.app.attempt.diagnostics.limit.kc</p>
+</td>
+<td class="cellrowborder" valign="top" width="62.980000000000004%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_2090__a375c0a41e84f41ffb46218efdb9fed94">Data size of the diagnosis message for each application connection, in kilobytes (number of characters x 1,024). When ZooKeeper is used to store the behavior status of applications, the size of diagnosis messages needs to be limited to prevent Yarn from overloading ZooKeeper. If <span class="parmname" id="mrs_01_2090__p8a7ec9c1555847108603aed8eead4fb0"><b>yarn.resourcemanager.state-store.max-completed-applications</b></span> is set to a large value, you need to decrease the value of this property to limit the total size of stored data.</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.22%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_2090__a9abee71cbea4443e837b2f3f8e221c13">64</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2077.html">Common Issues About Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2091.html b/docs/mrs/component-operation-guide/mrs_01_2091.html
new file mode 100644
index 000000000..3ff4a0dd2
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2091.html
@@ -0,0 +1,76 @@
+<a name="mrs_01_2091"></a><a name="mrs_01_2091"></a>
+
+<h1 class="topictitle1">Why Does a MapReduce Job Fail to Run When a Non-ViewFS File System Is Configured as ViewFS?</h1>
+<div id="body1596167575164"><div class="section" id="mrs_01_2091__s93e1a840bc4342aebf50dad71861a009"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2091__a4c9939b1302943ae85f98b28d0c55e10">Why does a MapReduce job fail to run when a non-ViewFS file system is configured as ViewFS?</p>
+</div>
+<div class="section" id="mrs_01_2091__sc4881e2863b24bf3a6aa3fa09b4ea71a"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2091__a73e42a1848b14b89a5e3515b1121edaf">When a non-ViewFS file system is configured as a ViewFS using cluster, the user permissions on folders in the ViewFS file system are different from those of non-ViewFS folders in the default NameService. The submitted MapReduce job fails to be executed because the directory permissions are inconsistent.</p>
+<p id="mrs_01_2091__a6021aefb4af94888a6aaa0f2bfadff51">When configuring the ViewFS user in the cluster, you need to check and verify the directory permissions. Before submitting a job, change the ViewFS folder permissions based on the default NameService folder permissions.</p>
+<p id="mrs_01_2091__aba4df5cbc6aa4618acb6e2dc7340f98b">The following table lists the default permission structure of directories configured in ViewFS. If the configured directory permissions are not included in the following table, you must change the directory permissions accordingly.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2091__tb78f8edcd6c24695a16ce5feb9818e14" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Default permission structure of directories configured in ViewFS</caption><thead align="left"><tr id="mrs_01_2091__r6b7302e2809147e9b502e90d18479f76"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.2.5.2.5.1.1"><p id="mrs_01_2091__a04e8147178e4431dbadfe6859b5cd068">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="28.199999999999996%" id="mcps1.3.2.5.2.5.1.2"><p id="mrs_01_2091__afcda1eeba23348a08de32bf709285eb9">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25.56%" id="mcps1.3.2.5.2.5.1.3"><p id="mrs_01_2091__a4431f0e4085a48babd105a6d8b2e4051">Default Value</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="21.240000000000002%" id="mcps1.3.2.5.2.5.1.4"><p id="mrs_01_2091__ada96d30e98da434ebfc90a7be7586f11">Default value and default permissions on the parent directory</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2091__r1eae7ffa52fe45389e5f75c73d441a6c"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.5.2.5.1.1 "><p id="mrs_01_2091__a70491f3fd11d427ba69802a8ac84a796">yarn.nodemanager.remote-app-log-dir</p>
+</td>
+<td class="cellrowborder" valign="top" width="28.199999999999996%" headers="mcps1.3.2.5.2.5.1.2 "><p id="mrs_01_2091__a9451f5b87d004d13b7061ecc0d26b618">On the default file system (usually HDFS), specify the directory to which the NM aggregates logs.</p>
+</td>
+<td class="cellrowborder" valign="top" width="25.56%" headers="mcps1.3.2.5.2.5.1.3 "><p id="mrs_01_2091__ad158a3e832b148c29677530a033834ab">logs</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.5.2.5.1.4 "><p id="mrs_01_2091__a13e8b4d1d425465ba65a291544ee158e">777</p>
+</td>
+</tr>
+<tr id="mrs_01_2091__r97270a30b3314249b5b9723e52c8cdc9"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.5.2.5.1.1 "><p id="mrs_01_2091__ac5e4ad7e932944d7848ca849f1f494f8">yarn.nodemanager.remote-app-log-archive-dir</p>
+</td>
+<td class="cellrowborder" valign="top" width="28.199999999999996%" headers="mcps1.3.2.5.2.5.1.2 "><p id="mrs_01_2091__a1a81fcb29d7547eb8d6fe292299d328d">Directory for archiving logs</p>
+</td>
+<td class="cellrowborder" valign="top" width="25.56%" headers="mcps1.3.2.5.2.5.1.3 "><p id="mrs_01_2091__a2cf5635ea20f47c9aef032ff3961d666">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.5.2.5.1.4 "><p id="mrs_01_2091__a9df751a5ade94df39c4d128531c1290f">777</p>
+</td>
+</tr>
+<tr id="mrs_01_2091__re825032284814b419111b7fc43744df2"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.5.2.5.1.1 "><p id="mrs_01_2091__ab42ceaec016d4297a450e4b891830e3f">yarn.app.mapreduce.am.staging-dir</p>
+</td>
+<td class="cellrowborder" valign="top" width="28.199999999999996%" headers="mcps1.3.2.5.2.5.1.2 "><p id="mrs_01_2091__a3f14be18f0c94766ae0e384d0413386e"></p>
+<p id="mrs_01_2091__a47f42f1fac234722acbd790fc2c2cb9a">Staging directory used when a job is submitted</p>
+</td>
+<td class="cellrowborder" valign="top" width="25.56%" headers="mcps1.3.2.5.2.5.1.3 "><p id="mrs_01_2091__a9390fa2392c349618fe1cfdd0bc23d6c">/tmp/hadoop-yarn/staging</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.5.2.5.1.4 "><p id="mrs_01_2091__ab169c7f0b56e4841b11e84746e5c3f77">777</p>
+</td>
+</tr>
+<tr id="mrs_01_2091__r61d5b52d29304540aea53fbd00e9ef01"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.5.2.5.1.1 "><p id="mrs_01_2091__ac6d27e33ca59451ca27440562a6cb4df">mapreduce.jobhistory.intermediate-done-dir</p>
+</td>
+<td class="cellrowborder" valign="top" width="28.199999999999996%" headers="mcps1.3.2.5.2.5.1.2 "><p id="mrs_01_2091__acd1cb6e9949a4ad28238220d7266312c">Directory for storing historical files of MapReduce jobs</p>
+</td>
+<td class="cellrowborder" valign="top" width="25.56%" headers="mcps1.3.2.5.2.5.1.3 "><p id="mrs_01_2091__ae9f270bc3ef048deb37fd59a05907134">${yarn.app.mapreduce.am.staging-dir}/history/done_intermediate</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.5.2.5.1.4 "><p id="mrs_01_2091__ad99fe4235f9d4f20bf23b2d1d3d7fd9f">777</p>
+</td>
+</tr>
+<tr id="mrs_01_2091__r3e37f99460a24204a804c6b092a5d35a"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.5.2.5.1.1 "><p id="mrs_01_2091__a83a9221785d445d9bc27c97483c2e986">mapreduce.jobhistory.done-dir</p>
+</td>
+<td class="cellrowborder" valign="top" width="28.199999999999996%" headers="mcps1.3.2.5.2.5.1.2 "><p id="mrs_01_2091__ad959f33144c0476c8ac72febbc45b870">Directory of historical files managed by the MR JobHistory Server.</p>
+</td>
+<td class="cellrowborder" valign="top" width="25.56%" headers="mcps1.3.2.5.2.5.1.3 "><p id="mrs_01_2091__adf76c8aafb6445c48178cc2ffd8e89ce">${yarn.app.mapreduce.am.staging-dir}/history/done</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.240000000000002%" headers="mcps1.3.2.5.2.5.1.4 "><p id="mrs_01_2091__ab278bce4a6f54e42b5c1593539eaeab5">777</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2077.html">Common Issues About Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2092.html b/docs/mrs/component-operation-guide/mrs_01_2092.html
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+<a name="mrs_01_2092"></a><a name="mrs_01_2092"></a>
+
+<h1 class="topictitle1">Using ZooKeeper</h1>
+<div id="body1595905684794"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_2093.html">Using ZooKeeper from Scratch</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2094.html">Common ZooKeeper Parameters</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2095.html">Using a ZooKeeper Client</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2097.html">Configuring the ZooKeeper Permissions</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2106.html">ZooKeeper Log Overview</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2107.html">Common Issues About ZooKeeper</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2093.html b/docs/mrs/component-operation-guide/mrs_01_2093.html
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+<a name="mrs_01_2093"></a><a name="mrs_01_2093"></a>
+
+<h1 class="topictitle1">Using ZooKeeper from Scratch</h1>
+<div id="body1595986424477"><p id="mrs_01_2093__p117571659182510">ZooKeeper is an open-source, highly reliable, and distributed consistency coordination service. ZooKeeper is designed to solve the problem that data consistency cannot be ensured for complex and error-prone distributed systems. There is no need to develop dedicated collaborative applications, which is suitable for high availability services to ensure data consistency.</p>
+<div class="section" id="mrs_01_2093__section316983143915"><h4 class="sectiontitle">Background Information</h4><p id="mrs_01_2093__p847384102817">Before using the client, you need to download and update the client configuration file on all clients except the client of the active management node.</p>
+</div>
+<div class="section" id="mrs_01_2093__section20756233173519"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_2093__p1210511719287">For MRS 2.<em id="mrs_01_2093__i9352191213372">x</em> or earlier, perform the following operations:</p>
+<ol id="mrs_01_2093__ol11471534103911"><li id="mrs_01_2093__l6b58a848ef0f4fe6a361d4ef0ac39fb8"><a name="mrs_01_2093__l6b58a848ef0f4fe6a361d4ef0ac39fb8"></a><a name="l6b58a848ef0f4fe6a361d4ef0ac39fb8"></a><span>Download the client configuration file.</span><p><ol type="a" id="mrs_01_2093__o10934933c3364550a0be5195fbfc2f32"><li id="mrs_01_2093__lafc53572e58847f385df4f89a1385677">Log in to the MRS console. In the left navigation pane, choose <span class="menucascade" id="mrs_01_2093__m99686aaa19d547d3ba5ead543b52d741"><b><span class="uicontrol" id="mrs_01_2093__udbb80ef904d54c7584d81fa0f2689a3c">Clusters</span></b> &gt; <b><span class="uicontrol" id="mrs_01_2093__u7bd8237cec524ff89935c2545e0ec7de">Active Clusters</span></b></span>, and click the cluster to be operated.</li><li id="mrs_01_2093__li0460185474017">Click the <strong id="mrs_01_2093__b180178536741113">Components</strong> tab.</li><li id="mrs_01_2093__l1bb2266a16d84c7685176eecccfd2abf">Click <span class="uicontrol" id="mrs_01_2093__uicontrol163303774441113"><b>Services</b></span> and then <span class="uicontrol" id="mrs_01_2093__uicontrol155016846941113"><b>Download Client</b></span>.<p id="mrs_01_2093__en-us_topic_0037446806_p491630294745">Set <span class="parmname" id="mrs_01_2093__parmname162869182641113"><b>Client Type</b></span> to <span class="uicontrol" id="mrs_01_2093__uicontrol27638951441113"><b>Only configuration files</b></span>, and click <span class="uicontrol" id="mrs_01_2093__uicontrol171202982541113"><b>OK</b></span> to generate the client configuration file. The generated file is saved in the <strong id="mrs_01_2093__b114051874441113">/tmp/MRS-client</strong> directory on the active management node by default. You can customize the file path.</p>
+</li></ol>
+</p></li><li id="mrs_01_2093__li595112919519"><span>Log in to the active management node of MRS Manager.</span><p><ol type="a" id="mrs_01_2093__oad0dd0b610c34488815d2b07e4656c11"><li id="mrs_01_2093__l52f4be0ff6434297a1b84c6a772a9828">On the MRS console, choose <span class="wintitle" id="mrs_01_2093__wintitle10698591341113"><b>Clusters &gt; Active Clusters</b></span> and click a cluster name. On the <span class="wintitle" id="mrs_01_2093__w4d3386170a29436eb866c94fb041d9fc"><b>Nodes</b></span> tab, view the node names. The node whose name contains <span class="parmvalue" id="mrs_01_2093__p466c031a935b42168c660ebd02e735cf"><b>master1</b></span> is the Master1 node, and the node whose name contains <span class="parmvalue" id="mrs_01_2093__p58b7be931498419d93edb37b5e0606ae"><b>master2</b></span> is the Master2 node.<p id="mrs_01_2093__a2f41d2e8a2434da2a56a6f48035e2d15">The active and standby management nodes of MRS Manager are installed on Master nodes by default. Because Master1 and Master2 are switched over in active and standby mode, Master1 is not always the active management node of MRS Manager. Run a command in Master1 to check whether Master1 is active management node of MRS Manager. For details about the command, see <a href="#mrs_01_2093__le8e7045cece741e8b6209b929a50ff22">2.d</a>.</p>
+</li><li id="mrs_01_2093__lad0d75a7717442b68338881c7c895c81">Log in to the Master1 node using the password as user <strong id="mrs_01_2093__b78501912202015">root</strong>. </li><li id="mrs_01_2093__l96479867566a4bd59da83a86f87373ef">Run the following commands to switch to user <strong id="mrs_01_2093__ac7be28bfafd640048e695d4e9ab7bc0e">omm</strong>:<p id="mrs_01_2093__adbc6f7bd4142423a89ea39d9d7347674"><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_2093__cmdname519417363351">sudo su - root</span></b></i></p>
+<p id="mrs_01_2093__a09516e4f38e44d8085ab1e7b041fddc0"><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_2093__cmdname41941536183517">su - omm</span></b></i></p>
+</li><li id="mrs_01_2093__le8e7045cece741e8b6209b929a50ff22"><a name="mrs_01_2093__le8e7045cece741e8b6209b929a50ff22"></a><a name="le8e7045cece741e8b6209b929a50ff22"></a>Run the following command to check the active management node of MRS Manager:<p id="mrs_01_2093__ae3cb33a0b8a7477c92f6b05767f136c3"><a name="mrs_01_2093__le8e7045cece741e8b6209b929a50ff22"></a><a name="le8e7045cece741e8b6209b929a50ff22"></a><b><span class="cmdname" id="mrs_01_2093__c73101799356c44f6a213b083c96e3df0">sh ${BIGDATA_HOME}/om-0.0.1/sbin/status-oms.sh</span></b></p>
+<p id="mrs_01_2093__a2e14fbc736604468bd7585d96245cd58">In the command output, the node whose <span class="parmname" id="mrs_01_2093__parmname146543745441113"><b>HAActive</b></span> is <span class="parmvalue" id="mrs_01_2093__parmvalue122002450841113"><b>active</b></span> is the active management node, and the node whose <span class="parmname" id="mrs_01_2093__parmname128929824241113"><b>HAActive</b></span> is <span class="parmvalue" id="mrs_01_2093__parmvalue99882871441113"><b>standby</b></span> is the standby management node. In the following example, <strong id="mrs_01_2093__b70735472841113">mgtomsdat-sh-3-01-1</strong> is the active management node, and <strong id="mrs_01_2093__b57651620141113">mgtomsdat-sh-3-01-2</strong> is the standby management node.</p>
+<pre class="screen" id="mrs_01_2093__sd906fdd3601748af837ddf8172bd0e75">Ha mode
+double
+NodeName              HostName                      HAVersion          StartTime                HAActive             HAAllResOK           HARunPhase 
+192-168-0-30          mgtomsdat-sh-3-01-1           V100R001C01        2014-11-18 23:43:02      <strong id="mrs_01_2093__a62984b3e97d740d3bc709bb1da033a2f">active</strong>               normal               Actived    
+192-168-0-24          mgtomsdat-sh-3-01-2           V100R001C01        2014-11-21 07:14:02      <strong id="mrs_01_2093__a31f4111b8e77424caf416a08ed194aa4">standby</strong>              normal               Deactived</pre>
+</li><li id="mrs_01_2093__lde3b2ea113c34b4687592dfdc8b454c2">Log in to the active management node, for example, <span class="parmvalue" id="mrs_01_2093__p4fa8933886834ca8854b5d0617f23f10"><b>192-168-0-30</b></span> of MRS Manager as user <strong id="mrs_01_2093__b9302185810236">root</strong>, and run the following command to switch to user <strong id="mrs_01_2093__b13021858112316">omm</strong>:<p id="mrs_01_2093__p5130224183718"><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_2093__cmdname14130924193713">sudo su - omm</span></b></i></p>
+</li></ol>
+</p></li><li id="mrs_01_2093__li1325114150135"><span>Run the following command to go to the client installation directory, for example, <span class="filepath" id="mrs_01_2093__filepath0485132411138"><b>/opt/client</b></span>.</span><p><p id="mrs_01_2093__p1025617151132"><strong id="mrs_01_2093__b1229113093018">cd /opt/client</strong></p>
+</p></li><li id="mrs_01_2093__li15639738131312"><a name="mrs_01_2093__li15639738131312"></a><a name="li15639738131312"></a><span>Run the following command to update the client configuration for the active management node.</span><p><p id="mrs_01_2093__p101581539121410"><strong id="mrs_01_2093__b642115320371">sh refreshConfig.sh /opt/client</strong> <em id="mrs_01_2093__i3424539378">Full path of the client configuration file package</em></p>
+<p id="mrs_01_2093__p86531138181318">For example, run the following command:</p>
+<p id="mrs_01_2093__p3654193818136"><strong id="mrs_01_2093__b14655103818135">sh refreshConfig.sh /opt/client/tmp/MRS-</strong><strong id="mrs_01_2093__b11658173813133">c</strong><strong id="mrs_01_2093__b1365953861310">lient/MRS_Services_Client.tar</strong></p>
+<p id="mrs_01_2093__p9659123820139">If the following information is displayed, the configurations have been updated successfully:</p>
+<pre class="screen" id="mrs_01_2093__screen1866023831317"> ReFresh components client config is complete.
+ Succeed to refresh components client config.</pre>
+<div class="note" id="mrs_01_2093__note1971123710424"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2093__p613218111518">You can perform <a href="#mrs_01_2093__l6b58a848ef0f4fe6a361d4ef0ac39fb8">1</a> to <a href="#mrs_01_2093__li15639738131312">4</a> by referring to Method 2 in <a href="mrs_01_2130.html">Updating a Client (Versions Earlier Than 3.x)</a> .</p>
+</div></div>
+</p></li><li id="mrs_01_2093__l6556791324fa484e91dc201b480e3115"><span>Use the client on a Master node.</span><p><ol type="a" id="mrs_01_2093__od49292eae1f845e8a383e761ce0ce2f7"><li id="mrs_01_2093__led80939ae6024a9ba8841d649d5132b4">On the active management node where the client is updated, for example, node <span class="parmvalue" id="mrs_01_2093__pb923e7c26e0f4bffb26f1521910a2c79"><b>192-168-0-30</b></span>, run the following command to go to the client directory:<p id="mrs_01_2093__en-us_topic_0037446806_p11191414462"><strong id="mrs_01_2093__b11451513191611">cd /opt/client</strong></p>
+</li><li id="mrs_01_2093__ldf91db8293354ac4beabdf4679eb0034">Run the following command to configure environment variables:<p id="mrs_01_2093__en-us_topic_0037446806_p711917124619"><a name="mrs_01_2093__ldf91db8293354ac4beabdf4679eb0034"></a><a name="ldf91db8293354ac4beabdf4679eb0034"></a><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_2093__cmdname1619443619357">source bigdata_env</span></b></i></p>
+</li><li id="mrs_01_2093__le6f90e19da384d2689c1b5ca5896f874">If Kerberos authentication is enabled for the current cluster, run the following command to authenticate the current user. If Kerberos authentication is disabled for the current cluster, skip this step:<p id="mrs_01_2093__aeaf76195462f4119af05c698566aba09"><a name="mrs_01_2093__le6f90e19da384d2689c1b5ca5896f874"></a><a name="le6f90e19da384d2689c1b5ca5896f874"></a><strong id="mrs_01_2093__b43142848941113">kinit</strong> <em id="mrs_01_2093__i55759122241113">MRS cluster user</em></p>
+<p id="mrs_01_2093__en-us_topic_0037446806_p809043511651">Example: <strong id="mrs_01_2093__b522916117208">kinit zookeeperuser</strong>.</p>
+</li><li id="mrs_01_2093__en-us_topic_0037446806_li8119414469">Run the following Zookeeper client command:<p id="mrs_01_2093__ae866cfe594424869bd57657b6921e1a8"><a name="mrs_01_2093__en-us_topic_0037446806_li8119414469"></a><a name="en-us_topic_0037446806_li8119414469"></a><strong id="mrs_01_2093__b142018311920">zkCli.sh -server </strong><em id="mrs_01_2093__i86833165198">&lt;zookeeper installation node IP&gt;</em><strong id="mrs_01_2093__b1484209141914">:&lt;port&gt;</strong></p>
+<p id="mrs_01_2093__p191351528122319">Example: <em id="mrs_01_2093__i1987511236"><strong id="mrs_01_2093__b5822114882313">zkCli.sh -server node-master1DGhZ:2181</strong></em></p>
+</li></ol>
+</p></li><li id="mrs_01_2093__li2015821418148"><span>Run the ZooKeeper client command.</span><p><ol type="a" id="mrs_01_2093__ol897653825911"><li id="mrs_01_2093__li12976638185912">Create a ZNode.<pre class="screen" id="mrs_01_2093__screen117010582249">create /test</pre>
+</li><li id="mrs_01_2093__li10684611801">View ZNode information.<pre class="screen" id="mrs_01_2093__screen196080189013">ls /</pre>
+</li><li id="mrs_01_2093__li12134202514012">Write data to the ZNode.<pre class="screen" id="mrs_01_2093__screen17485193518011">set /test "zookeeper test"</pre>
+</li><li id="mrs_01_2093__li83797414013">View the data written to the ZNode.<pre class="screen" id="mrs_01_2093__screen843832714278">get /test</pre>
+</li><li id="mrs_01_2093__li9744151415271">Delete the created ZNode.<pre class="screen" id="mrs_01_2093__screen154086223286">delete /test</pre>
+</li></ol>
+</p></li></ol>
+<p id="mrs_01_2093__p3543825154418">For MRS 3.x or later, perform the following operations:</p>
+<ol id="mrs_01_2093__ol20988959103613"><li id="mrs_01_2093__li18987145910368"><span>Download the client configuration file.</span><p><ol type="a" id="mrs_01_2093__ol169871359123614"><li id="mrs_01_2093__li3986195917363">Log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>.</li><li id="mrs_01_2093__li11986125923613">Choose <strong id="mrs_01_2093__b140544061641113">Cluster</strong> &gt; <em id="mrs_01_2093__i170798405941113">Name of the desired cluster</em> &gt; <strong id="mrs_01_2093__b163951319041113">Dashboard</strong> &gt; <strong id="mrs_01_2093__b32289279341113">More</strong> &gt; <strong id="mrs_01_2093__b177954557241113">Download Client</strong>.</li><li id="mrs_01_2093__li3987145913362">Download the cluster client.<p id="mrs_01_2093__p20987105913361"><a name="mrs_01_2093__li3987145913362"></a><a name="li3987145913362"></a>Set <span class="parmname" id="mrs_01_2093__parmname89861359103617"><b>Select Client Type</b></span> to <span class="parmvalue" id="mrs_01_2093__parmvalue1198711591367"><b>Configuration Files Only</b></span>, select a platform type, and click <span class="uicontrol" id="mrs_01_2093__uicontrol1198745973617"><b>OK</b></span> to generate the client configuration file which is then saved in the <strong id="mrs_01_2093__b198087608841113">/tmp/FusionInsight-Client/</strong> directory on the active management node by default.</p>
+</li></ol>
+</p></li><li id="mrs_01_2093__li898785916363"><span>Log in to the active management node of Manager.</span><p><ol type="a" id="mrs_01_2093__ol8987145983618"><li id="mrs_01_2093__li149871159103614">Log in to any node where Manager is deployed as user <strong id="mrs_01_2093__b098755910363">root</strong>.</li><li id="mrs_01_2093__li12987185973617">Run the following command to identify the active and standby nodes:<p id="mrs_01_2093__p17987205912364"><a name="mrs_01_2093__li12987185973617"></a><a name="li12987185973617"></a><strong id="mrs_01_2093__b159872059163610">sh ${BIGDATA_HOME}/om-server/om/sbin/status-oms.sh</strong></p>
+<p id="mrs_01_2093__p17987125916360">In the command output, the value of <strong id="mrs_01_2093__b60371641141113">HAActive</strong> for the active management node is <strong id="mrs_01_2093__b63064278141113">active</strong>, and that for the standby management node is <strong id="mrs_01_2093__b143445450741113">standby</strong>. In the following example, <strong id="mrs_01_2093__b26489978841113">node-master1</strong> is the active management node, and <strong id="mrs_01_2093__b193069777341113">node-master2</strong> is the standby management node.</p>
+<pre class="screen" id="mrs_01_2093__screen39871559163619">HAMode 
+double 
+NodeName             HostName        HAVersion          StartTime                HAActive             HAAllResOK           HARunPhase  
+192-168-0-30         node-master1    V100R001C01        2020-05-01 23:43:02      active               normal               Actived     
+192-168-0-24         node-master2    V100R001C01        2020-05-01 07:14:02      standby              normal               Deactived </pre>
+</li><li id="mrs_01_2093__li14987145993619">Log in to the primary management node as user <strong id="mrs_01_2093__b1374918482417">root</strong> and run the following command to switch to user <strong id="mrs_01_2093__b207492462415">omm</strong>:<p id="mrs_01_2093__p1872722617385"><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_2093__cmdname18728102610385">sudo su - omm</span></b></i></p>
+</li></ol>
+</p></li><li id="mrs_01_2093__li098710593365"><span>Run the following command to go to the client installation directory, for example, <span class="filepath" id="mrs_01_2093__filepath1412640171315"><b>/opt/client</b></span>.</span><p><p id="mrs_01_2093__p298717599361"><b><span class="cmdname" id="mrs_01_2093__cmdname159871859183619">cd /opt/client</span></b></p>
+</p></li><li id="mrs_01_2093__li6988959153617"><span>Run the following command to update the client configuration for the active management node.</span><p><p id="mrs_01_2093__p59881159143616"><strong id="mrs_01_2093__b71234568378">sh refreshConfig.sh /opt/client</strong> <em id="mrs_01_2093__i1012412567376">Full path of the client configuration file package</em></p>
+<p id="mrs_01_2093__p169881359143611">For example, run the following command:</p>
+<p id="mrs_01_2093__p3757204518335"><strong id="mrs_01_2093__b14757184563314">sh refreshConfig.sh /opt/client /tmp/FusionInsight-C</strong><strong id="mrs_01_2093__b10757204510335">lient/</strong><strong id="mrs_01_2093__b1757545123316">FusionInsight_Cluster_1_Services_Client.tar</strong></p>
+<p id="mrs_01_2093__p17988759143612">If the following information is displayed, the configurations have been updated successfully:</p>
+<pre class="screen" id="mrs_01_2093__screen1698825915368">ReFresh components client config is complete.
+Succeed to refresh components client config.</pre>
+</p></li></ol><ol start="5" id="mrs_01_2093__ol16986175916366"><li id="mrs_01_2093__li498695912361"><span>Use the client on a Master node.</span><p><ol type="a" id="mrs_01_2093__ol1986105923618"><li id="mrs_01_2093__li1798511598362">On the active management node where the client is updated, for example, node <span class="parmvalue" id="mrs_01_2093__parmvalue198215943616"><b>192-168-0-30</b></span>, run the following command to go to the client directory:<p id="mrs_01_2093__p139851359133616"><b><span class="cmdname" id="mrs_01_2093__cmdname055054915177">cd /opt/client</span></b></p>
+</li><li id="mrs_01_2093__li19985959203615">Run the following command to configure environment variables:<p id="mrs_01_2093__p49858599364"><a name="mrs_01_2093__li19985959203615"></a><a name="li19985959203615"></a><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_2093__cmdname16987135412361">source bigdata_env</span></b></i></p>
+</li><li id="mrs_01_2093__li139861599367">If Kerberos authentication has been enabled for the current cluster, run the following command to authenticate the current user. If Kerberos authentication is disabled for the current cluster, skip this step:<p id="mrs_01_2093__p898655943617"><a name="mrs_01_2093__li139861599367"></a><a name="li139861599367"></a><strong id="mrs_01_2093__b176504015552">kinit</strong> <em id="mrs_01_2093__i667640105517">MRS cluster user</em></p>
+<p id="mrs_01_2093__p139866594368">Example: <strong id="mrs_01_2093__b0838108153510">kinit zookeeperuser</strong>.</p>
+</li><li id="mrs_01_2093__li1986659173614">Run the following Zookeeper client command:<p id="mrs_01_2093__p870610218386"><a name="mrs_01_2093__li1986659173614"></a><a name="li1986659173614"></a><em id="mrs_01_2093__i916251863615">zkCli.sh -server &lt;zookeeper installation node IP&gt;:&lt;port&gt;</em></p>
+<p id="mrs_01_2093__p137062273816">Example: <strong id="mrs_01_2093__b154131916203417">zkCli.sh -server node-master1DGhZ:2181</strong></p>
+</li></ol>
+</p></li><li id="mrs_01_2093__li111718560398"><span>Run the ZooKeeper client command.</span><p><ol type="a" id="mrs_01_2093__ol617556153916"><li id="mrs_01_2093__li917356123917">Create a ZNode.<pre class="screen" id="mrs_01_2093__screen018856203916">create /test</pre>
+</li><li id="mrs_01_2093__li1918105618391">View ZNode information.<pre class="screen" id="mrs_01_2093__screen9181956173911">ls /</pre>
+</li><li id="mrs_01_2093__li1118155610398">Write data to the ZNode.<pre class="screen" id="mrs_01_2093__screen41813562393">set /test "zookeeper test"</pre>
+</li><li id="mrs_01_2093__li1218556123919">View the data written to the ZNode.<pre class="screen" id="mrs_01_2093__screen181814561394">get /test</pre>
+</li><li id="mrs_01_2093__li41825610393">Delete the created ZNode.<pre class="screen" id="mrs_01_2093__screen41885612391">delete /test</pre>
+</li></ol>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2092.html">Using ZooKeeper</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2094.html b/docs/mrs/component-operation-guide/mrs_01_2094.html
new file mode 100644
index 000000000..7deda40dd
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2094.html
@@ -0,0 +1,68 @@
+<a name="mrs_01_2094"></a><a name="mrs_01_2094"></a>
+
+<h1 class="topictitle1">Common ZooKeeper Parameters</h1>
+<div id="body1595905684798"><p id="mrs_01_2094__aedfb16fd0bd4409abdcc7a78e4588f16"><strong id="mrs_01_2094__ab5d12d3d7dfa482b93f6775f61c5f7a7">Navigation path for setting parameters:</strong></p>
+<p id="mrs_01_2094__p1162370315">Go to the <strong id="mrs_01_2094__b1635653214487">All Configurations</strong> page of ZooKeeper by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>. Enter a parameter name in the search box.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2094__t59a811670a1049f49807de103ced1f33" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters</caption><thead align="left"><tr id="mrs_01_2094__rc6bab9954f184856b04f75035ef8be81"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.2.4.1.1"><p id="mrs_01_2094__ab36beae310eb4ed2b93e0df6dd836af9"><strong id="mrs_01_2094__a5cc700cdee56431e8b08e2a2761426c4">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.2.4.1.2"><p id="mrs_01_2094__a6289f44ed52f4159a033e95b43b3f236">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.2.4.1.3"><p id="mrs_01_2094__abcee5d523b2d4ed5b09c62c75dd9eb32"><strong id="mrs_01_2094__a3347898d0fdd42f08c35925eeac89cc9">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2094__rbe5156a47edf4e77a8261c0614647d13"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_2094__a30270a689e5841cca90688cf89cbf067">skipACL</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_2094__a3a433a5f25224855bbd2bdbd99ba28e9">Specifies whether to skip the permission check of the ZooKeeper node.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_2094__a5b309128376d4cdf9cc2ba21eea382a4">no</p>
+</td>
+</tr>
+<tr id="mrs_01_2094__re9c983c3972749f695fa17346ea79d75"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_2094__a4b0213689d7a4ab5a2fe9823b5ea57aa">maxClientCnxns</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_2094__aafe8c15e257248a3b80e50ce02b320b2">Specifies the maximum number of connections of ZooKeeper. It is recommended this parameter is set to a larger value in scenarios with a large number of connections.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_2094__ae7776ab107fb4f9db6357d731ae60e7d">2000</p>
+</td>
+</tr>
+<tr id="mrs_01_2094__r37d19eb7a66742ce80a9f9acf2e38f3f"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_2094__aaf2a6724c4da45c08285aa23078b048c">LOG_LEVEL</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_2094__a8936b9f250e449b4b1f7325707836827">Specifies the log level. This parameter can be set to <strong id="mrs_01_2094__b114543919541034">DEBUG</strong> during commissioning.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_2094__a456993ad200e45829d77dbe0c6167ecc">INFO</p>
+</td>
+</tr>
+<tr id="mrs_01_2094__r053315970d5b4ed8836c5edf55ef89ef"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_2094__aef0ac1c0052a4676809810b3404cf43a">acl.compare.shortName</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_2094__af773c8b2fead4646bdd0567a0716a577">Specifies whether to perform ACL authentication only by principal username when the Znode ACL authentication type is SASL.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_2094__a00699f09e8524642aebfc7334ba9d50a">true</p>
+</td>
+</tr>
+<tr id="mrs_01_2094__row1064812389917"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_2094__p96494386918">synclimit</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_2094__p464963820915">Specifies the interval of synchronization between the follower and leader (unit: tick). If the leader does not respond within the specified time range, the connection cannot be established.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_2094__p1064911381994">15</p>
+</td>
+</tr>
+<tr id="mrs_01_2094__row1453841017109"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_2094__p3539181014108">tickTime</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_2094__p115391910191017">Specifies the duration of a tick (in milliseconds). It is the basic time unit used by ZooKeeper, which defines heartbeat and timeout durations.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_2094__p105391010111013">4000</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_2094__note8434101412343"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2094__p184351114193418">The ZooKeeper internal time is determined by <strong id="mrs_01_2094__b183756148441034">ticktime</strong> and <strong id="mrs_01_2094__b185545054941034">synclimit</strong>. To increase the ZooKeeper internal timeout interval, increase the timeout interval for the client to connect to ZooKeeper.</p>
+</div></div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2092.html">Using ZooKeeper</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2095.html b/docs/mrs/component-operation-guide/mrs_01_2095.html
new file mode 100644
index 000000000..b2025570a
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2095.html
@@ -0,0 +1,20 @@
+<a name="mrs_01_2095"></a><a name="mrs_01_2095"></a>
+
+<h1 class="topictitle1">Using a ZooKeeper Client</h1>
+<div id="body1595905684800"><div class="section" id="mrs_01_2095__sd9673bb5e910487b86af5d272ea0ee98"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_2095__a683ae23d443540178833e6fe62bf096d">Use a ZooKeeper client in an O&amp;M scenario or service scenario. </p>
+</div>
+<div class="section" id="mrs_01_2095__s1a80bfe4d3c544c6968c16c8c4119857"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_2095__p11320152713457">You have installed the client. For example, the installation directory is <strong id="mrs_01_2095__b25581144210">/opt/</strong><strong id="mrs_01_2095__b105581149217"></strong><strong id="mrs_01_2095__b555818141227">client</strong>. The client directory in the following operations is only an example. Change it based on the actual installation directory onsite.</p>
+</div>
+<div class="section" id="mrs_01_2095__sb969c89387d141e38ff856a78534a09a"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_2095__oce3559a22ff247f29e3373adbfa425bc"><li id="mrs_01_2095__lf2e987413a454bcc9c9e4c544da889a0"><span>Log in to the node where the client is installed as the client installation user.</span></li><li id="mrs_01_2095__lc377607eedfc4cf89be8ce2c2c511eb0"><span>Run the following command to go to the client installation directory:</span><p><p id="mrs_01_2095__a9bb53c7cbfd14550a1bca8ad7829552d"><strong id="mrs_01_2095__a5dc5c2779c71418abdee1fc239cee148">cd /opt/client</strong></p>
+</p></li><li id="mrs_01_2095__ldb2e0ff5e435424aa28231b010860ea7"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_2095__ab36ede4eb7b941c381a78d0830cefe62"><strong id="mrs_01_2095__a50c9b4b15f32467ba0b879e997ae3e3f">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_2095__lb7b78631190d431bb9124e538d99239d"><span>Run the following command to authenticate the user: (skip this step in common mode):</span><p><p id="mrs_01_2095__adc496f5342874ca0ae16cf18f0af9175"><strong id="mrs_01_2095__a9867041d3ed84cd087d23e40270cf27f">kinit</strong> <em id="mrs_01_2095__ae42b9f989f274680ab12e38925b3bbff">Component service user</em></p>
+</p></li><li id="mrs_01_2095__lbd4b27972df14c2db36aeeaf07cd3ff4"><span>Run the following command to log in to the client tool:</span><p><p id="mrs_01_2095__afa3e561ebefc46b497d56e49438813cd"><strong id="mrs_01_2095__b172532693441457">zkCli.sh -server</strong> <em id="mrs_01_2095__i180684387141457">service IP address of the node where the ZooKeeper role instance locates</em><strong id="mrs_01_2095__b182216675041457">:</strong><em id="mrs_01_2095__i205843126941457">client port</em></p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2092.html">Using ZooKeeper</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2097.html b/docs/mrs/component-operation-guide/mrs_01_2097.html
new file mode 100644
index 000000000..019f53f4b
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2097.html
@@ -0,0 +1,142 @@
+<a name="mrs_01_2097"></a><a name="mrs_01_2097"></a>
+
+<h1 class="topictitle1">Configuring the ZooKeeper Permissions</h1>
+<div id="body1595905684810"><div class="section" id="mrs_01_2097__sdd3bbba2e7014a76be11f3489948471d"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_2097__ad19531742682452eb1efb5aea1d3bdce">Configure znode permission of ZooKeeper.</p>
+<p id="mrs_01_2097__af1f6363a4dca41c591ff7917084056a5">ZooKeeper uses an access control list (ACL) to implement znode access control. The ZooKeeper client specifies a znode ACL, and the ZooKeeper server determines whether a client that requests for a znode has related operation permission according to the ACL. ACL configuration involves the following four operations:</p>
+<ul id="mrs_01_2097__u4b9155ed7a0f4a3d9aaa8f9457105d14"><li id="mrs_01_2097__l20dd1c4f986e4b4fa0dc273a03838c26">Check znode ACLs in ZooKeeper.</li><li id="mrs_01_2097__l2d5211b99a684a5394d9e5e8ae91a5ba">Add znode ACLs to ZooKeeper.</li><li id="mrs_01_2097__l40ee1b613ef8456089dd1ec54344050f">Modify znode ACLs in ZooKeeper.</li><li id="mrs_01_2097__lf32e676906a847099dd082a3d6344a04">Delete znode ACLs from ZooKeeper.<p id="mrs_01_2097__ac1425bb190da4eb0ac7828cb3b27679b"><a name="mrs_01_2097__lf32e676906a847099dd082a3d6344a04"></a><a name="lf32e676906a847099dd082a3d6344a04"></a>The ZooKeeper ACL permission is described as follows:</p>
+<p id="mrs_01_2097__ade8e64556896466a84140449ea7c3f5a">ZooKeeper supports five types of permission, create, delete, read, write, and admin. ZooKeeper permission control is of a znode level. That is, the permission configuration for a parent znode is not inherited by its child znodes. The ZooKeeper znode default permission is <strong id="mrs_01_2097__a5c91df9d9e9f4e9a842e3afb40a80883">world:anyone: cdrwa</strong>. That is, any user has all permissions.</p>
+</li></ul>
+<div class="note" id="mrs_01_2097__n1163ada79ace48728f6694a3652a989e"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="tableheading" id="mrs_01_2097__ab4c4044bf12a44939b47a633a8402100">ACL has three parts:</p>
+<p class="tableheading" id="mrs_01_2097__ae3e86116aec4498e837dceb5d70ea0c6">The first part is the authentication type. For example, <strong id="mrs_01_2097__b99609942592652">world</strong> indicates all authentication types and <strong id="mrs_01_2097__b51827643092652">sasl</strong> indicates the kerberos authentication type.</p>
+<p class="tableheading" id="mrs_01_2097__a7d168be464e541f880d7388fd2e1800e">The second part is the account. For example, anyone indicates any user.</p>
+<p class="tableheading" id="mrs_01_2097__aa7b4e88f413a44439b3c9823aceca83c">The third part is permission. For example, <strong id="mrs_01_2097__b153326189992652">cdrwa</strong> indicates all permissions.</p>
+<p id="mrs_01_2097__a55050b655ac44d048408f8bf606d588a">In particular, because starting the client in common mode does not need authentication, ACL with <strong id="mrs_01_2097__b35288817392652">sasl</strong> authentication type cannot be used in common mode. Authentications of <strong id="mrs_01_2097__b11498001192652">sasl</strong> scheme in this document are performed in clusters that have the security mode enabled.</p>
+</div></div>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2097__t6d89b1a1e28743f7bde7429428a4aa1d" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Five types of ZooKeeper ACLs</caption><thead align="left"><tr id="mrs_01_2097__r1cb39115bbd845ccb03e44aa45b2cf5a"><th align="left" class="cellrowborder" valign="top" width="18.67%" id="mcps1.3.1.6.2.4.1.1"><p id="mrs_01_2097__a859570298da64055ab6e4d9fb75d7f27">Permission Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="19.61%" id="mcps1.3.1.6.2.4.1.2"><p id="mrs_01_2097__a96eff3e8709c4d2b89e6760caf0020b2">Permission Name</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="61.72%" id="mcps1.3.1.6.2.4.1.3"><p id="mrs_01_2097__a53d4a57783154c1683a58302cb7854c3">Permission Details</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2097__r9afbb22dcd5a4873a2c9f5ae077b6c7a"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_2097__afecb993dd39d4b669cef2df30e57f26f">Create permission</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.61%" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_2097__a9d28deb994d44c2689571d5c34e486f9">create(c)</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.72%" headers="mcps1.3.1.6.2.4.1.3 "><p id="mrs_01_2097__a9cea3168790c40d5bd5ccd42204a7dc9">Users with this permission can create child znodes in the current znode.</p>
+</td>
+</tr>
+<tr id="mrs_01_2097__r4d521f5cc10145728e7386a368a77d02"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_2097__a5ceabb4a97af45c0abf3b013468d4645">Delete permission</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.61%" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_2097__a97845a62d0af4405a87bec34334dba1d">delete(d)</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.72%" headers="mcps1.3.1.6.2.4.1.3 "><p id="mrs_01_2097__a3338bf77a2624ff0945993d4c288e2a4">Users with this permission can delete the current znode.</p>
+</td>
+</tr>
+<tr id="mrs_01_2097__rc26257e36414450cbffad42f930cc117"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_2097__a526bf217d7c94bc684fbf50763d5f520">Read permission</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.61%" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_2097__a9a48829431df40c0af0d0c96eb786275">read(r)</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.72%" headers="mcps1.3.1.6.2.4.1.3 "><p id="mrs_01_2097__af7a1a75b649b469991d6942bb150b490">Users with this permission can obtain data of the current znode and list all the child znodes of the current znode.</p>
+</td>
+</tr>
+<tr id="mrs_01_2097__rebda0d73cb0e4919bb5787c84f1cf40d"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_2097__a28caef2eaee34e59b9f3cf00890f2bbb">Write permission</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.61%" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_2097__ad47c4f9beb324e1a9fccfbae4a34da55">write(w)</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.72%" headers="mcps1.3.1.6.2.4.1.3 "><p id="mrs_01_2097__a396f34644b104d30b42ee1ade08d6564">Users with this permission can write data to the current znode and its child znodes.</p>
+</td>
+</tr>
+<tr id="mrs_01_2097__r13d677ec7e3f43e2a6eecbf92def2e0f"><td class="cellrowborder" valign="top" width="18.67%" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_2097__a851231b5d4dd4ecfa831c94496c3578d">Administration permission</p>
+</td>
+<td class="cellrowborder" valign="top" width="19.61%" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_2097__a9b0c742f8b4d46bf93c7f789ece842fb">admin(a)</p>
+</td>
+<td class="cellrowborder" valign="top" width="61.72%" headers="mcps1.3.1.6.2.4.1.3 "><p id="mrs_01_2097__a0010000891124e8f906e90bbb6c90060">Users with this permission can set permission for the current znode.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_2097__s5ff6e85538f244e99c6367edcad1bd8a"><h4 class="sectiontitle">Impact on the System</h4><div class="notice" id="mrs_01_2097__nd3f1d63b467e4e44ab2ac516d1334f18"><span class="noticetitle"><img src="public_sys-resources/notice_3.0-en-us.png"> </span><div class="noticebody"><p class="litext" id="mrs_01_2097__aeb2f319c7c854692affbdc569d6635e4">Modifying ZooKeeper ACLs is a critical operation. If znode permission is modified in ZooKeeper, other users may have no permission to access the znode and some system functions are abnormal. In 3.5.6 and later versions, users must have the read permission for the <strong id="mrs_01_2097__b6200697529">getAcl </strong>operation.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_2097__sd18e34d132994c119b3cf5fa2b02dd18"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_2097__u77813f5fddfe4794b1ccc6e4f86f8e71"><li id="mrs_01_2097__l19ae427b896c4781b9cfab1e0093183c">The ZooKeeper client has been installed. For example, the installation directory is <strong id="mrs_01_2097__b152501518432">/opt/client</strong>.</li><li id="mrs_01_2097__l18a53d60d8a54ce382ca24482928a705">You have obtained the password of the system administrator account.</li></ul>
+</div>
+<div class="section" id="mrs_01_2097__s89f283723ee34c6baabe713d333b3e0a"><h4 class="sectiontitle">Procedure</h4><p class="tableheading" id="mrs_01_2097__afe93204f3ecb4567893285a1ab7358b0"><strong id="mrs_01_2097__a66118a5ab0344ba7bcade40dda9497bf">Start the ZooKeeper client.</strong></p>
+<ol id="mrs_01_2097__oc6c9bde5ecc6476ca93c3227f9ce0807"><li id="mrs_01_2097__li533915434199"><span>Log in to the server where the ZooKeeper client is installed as user <strong id="mrs_01_2097__b91911335525">root</strong>.</span></li><li id="mrs_01_2097__li1389464814199"><span>Run the following command to go to the client installation directory:</span><p><p id="mrs_01_2097__p9880175718191"><strong id="mrs_01_2097__a5dc5c2779c71418abdee1fc239cee148">cd /opt/client</strong></p>
+</p></li><li id="mrs_01_2097__l5e7507ff356f445a8e1b37a50f4224ab"><span>Run the following command to configure environment variables:</span><p><p class="litext" id="mrs_01_2097__a71301cd1e248452583d7f5ad1acf7d24"><strong id="mrs_01_2097__a8209b9ce86084438a9d7ad8659aa0ebe">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_2097__l75319ed990064d22b677f0192aa422a7"><span>If the cluster has the security mode enabled, run the following command for user authentication and enter the username and password (Any authorized user. <strong id="mrs_01_2097__b7228818531">admin</strong> is used as an example.):</span><p><p class="litext" id="mrs_01_2097__a5cc1b3fbad0742f0855ce259aa0feba8"><strong id="mrs_01_2097__ac6ff97d9f9af46209b5809744921463c">kinit admin</strong></p>
+</p></li><li id="mrs_01_2097__l1601ec49720043b0b338461c450fc743"><span>On the ZooKeeper client, run the following command to go to the ZooKeeper command-line interface (CLI):</span><p><p class="litext" id="mrs_01_2097__a3c2a0e1b9ded4fd38e8772c264cfbb8f"><strong id="mrs_01_2097__aa85aa6bcdadd4112bc1d9136954a8acc">sh zkCli.sh -server </strong><em id="mrs_01_2097__a94739a67f76d4aa08132c9dde71f9b2b">ZooKeeper</em><em id="mrs_01_2097__a26e0b1eb78654705bee21c2f3cd22699"> plane IP address of any instance</em>:<em id="mrs_01_2097__i121731740132119">clientPort</em></p>
+<p id="mrs_01_2097__a465a1aa043c9424f9c97aa0b03ba5a15">The default <span class="parmname" id="mrs_01_2097__pdff4a2d7eeae458a9ebc3850288cc4e5"><b>clientPort</b></span> is <strong id="mrs_01_2097__b994965565318">2181</strong>.</p>
+<p class="litext" id="mrs_01_2097__a75efc26cbabc458d8ceaea59061e2c1e">Example: <strong id="mrs_01_2097__a1a050b48786b414dae215ca56ce8b4b0">sh zkCli.sh -server 192.168.0.151:</strong><strong id="mrs_01_2097__b154131916203417">2181</strong></p>
+</p></li><li id="mrs_01_2097__l886e3782ec914e1386fdee550384f296"><span>Run the <strong id="mrs_01_2097__acb54514a0fe042d48c281c588d2ce32b">ls</strong> command to view the znode list in ZooKeeper. For example, you can view the list of znodes in the root directory.</span><p><p id="mrs_01_2097__a58a2b40566e54fd4b0e3c3d7ecb094c3"><strong id="mrs_01_2097__ae1e26d4eeef04307b13082e754a675a0">ls  /</strong></p>
+<pre class="screen" id="mrs_01_2097__s47e57488019f45ddba9c5149e3746654">[zk: 192.168.0.151:2181(CONNECTED) 1] ls /
+[hadoop-flag, hadoop-ha, test, test2, test3, test4, test5, test6, zookeeper]</pre>
+</p></li></ol>
+<p class="tableheading" id="mrs_01_2097__a0760fe6fc0a44cbbaf7bf98105f43d03"><strong id="mrs_01_2097__ab1e0b11564bf44f7bfa6e91d92071f58">View the ZooKeeper znode ACL.</strong></p>
+<ol start="7" id="mrs_01_2097__obb15adf1a97e448f9ac701b9b4315655"><li id="mrs_01_2097__la295bb75a2084fc2a5900fe95832ce6b"><span>Start the ZooKeeper client.</span></li><li id="mrs_01_2097__lf1d78362c13e4437b660112113304aaa"><span>Run the <strong id="mrs_01_2097__ad63ab8516eff487e878c923804767a30">getAcl</strong> command to view znodes. The following command can be used to view the created znode ACL named <strong id="mrs_01_2097__b171809106545">test</strong>:</span><p><p class="litext" id="mrs_01_2097__adeea73513f514d7d86626c9a4cfec279"><strong id="mrs_01_2097__aecde238e6ccc43e2a124d86fc06b8d9d">getAcl</strong> /<em id="mrs_01_2097__a36247cbf16624650b5d78b312256532a">znode name</em></p>
+<pre class="screen" id="mrs_01_2097__s851f9895bf13444c911c26ebdcc5a52f">[zk: 192.168.0.151:2181(CONNECTED) 2] getAcl /test
+'world,'anyone
+: cdrwa</pre>
+</p></li></ol>
+<p id="mrs_01_2097__a84604736f9b84566838b7775ca810919">Add a ZooKeeper znode ACL.</p>
+<ol start="9" id="mrs_01_2097__o44b957b7e7ee447b95d6ba13af5e3e4a"><li id="mrs_01_2097__l86284037cbc044eda1ba639b4abfddbe"><span>Start the ZooKeeper client.</span></li><li id="mrs_01_2097__lb31d34cf49d1498597b0583dbed15cfa"><span>View the old ACL information to check whether the current account has the permission to modify the znode ACL information (a permission). If no, use kinit to switch to a user that has the permission and restart the ZooKeeper client.</span><p><div class="p" id="mrs_01_2097__a06ed0e5589734ed7b6c8ea25f3221b9b"><strong id="mrs_01_2097__abe7fac9265494727a8e0c6041a4eae67">getAcl</strong> /<em id="mrs_01_2097__a9518ef73a37046c1bac58833f988c416">znode name</em><pre class="screen" id="mrs_01_2097__s0a4c87d850e545a8a43044b7e02b845b"> [zk: 192.168.0.151:2181(CONNECTED) 3] getAcl /test
+'world,'anyone
+: cdrwa</pre>
+</div>
+</p></li><li id="mrs_01_2097__lebe133589ad74faf98dd9bc2ded66095"><span>Run the <strong id="mrs_01_2097__a05b3ff8aceb540c4ab4c9964ec75df86">setAcl</strong> command to add an ACL. The command for adding an ACL is as follows:</span><p><p class="litext" id="mrs_01_2097__a922b1788b4b541b9b865aa6ba1f6fb2e"><strong id="mrs_01_2097__b83052251492652">setAcl /test world:anyone:cdrwa,sasl:</strong> <em id="mrs_01_2097__i176790335092652">username</em>@: <em id="mrs_01_2097__i191749611492652">&lt;system domain name&gt;</em>:<em id="mrs_01_2097__i163171520692652">ACL value</em></p>
+<p class="litext" id="mrs_01_2097__a0a90410dc6be431baae9ef50c1910828">For example, to add the ACL of the <strong id="mrs_01_2097__b107502198292652">admin</strong> user to the test znode, run the following command:</p>
+<p class="litext" id="mrs_01_2097__a2e712a7554db4a39b649e3bae6afad6f"><strong id="mrs_01_2097__ae2145635fbdd442080fabc5028d17eb5">setAcl /test world:anyone:cdrwa,sasl:admin@HADOOP.COM:cdrwa</strong></p>
+<div class="note" id="mrs_01_2097__n45e1af2fcad84cf58ce8b9d49cb9febf"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="litext" id="mrs_01_2097__a3ea21646da4246b7959bc3d2acd5a4f0">When adding a new ACL, reserve the existing ones. The new and old ACLs are separated by a comma. The newly added ACL has three parts:</p>
+<p class="tableheading" id="mrs_01_2097__acd725d810b1a49a4a8360cb6036d674b">The first part is the authentication type. For example, <strong id="mrs_01_2097__b182506408692652">sasl</strong> indicates the kerberos authentication type.</p>
+<p class="tableheading" id="mrs_01_2097__ae4ca668fab324cffa4d100a47b2bd74f">The second part is the account. For example, <strong id="mrs_01_2097__b170349803792652">admin@HADOOP.COM</strong> indicates user <strong id="mrs_01_2097__b176622857592652">admin</strong>.</p>
+<p class="tableheading" id="mrs_01_2097__a9191c3f3dc4d4578bf94454214582193">The third part is permission. For example, <strong id="mrs_01_2097__b59401031192652">cdrwa</strong> indicates all permissions.</p>
+</div></div>
+</p></li><li id="mrs_01_2097__la1ef23a105a24072952f6c202d1ce506"><span>After adding the ACL, run the <strong id="mrs_01_2097__ac1604a2db244478ab5d8782674a46f3a">getAcl</strong> command to check whether the permission is added successfully:</span><p><p id="mrs_01_2097__a20337e0d4ca3402a86454ce705d559c0"><strong id="mrs_01_2097__ade7b114f6ea147649ba35aa5e9fd60c3">getAcl</strong> /<em id="mrs_01_2097__ac436ab05355d4538932d16e071309768">znode name</em></p>
+<pre class="screen" id="mrs_01_2097__s62831d896f92457da8c06d42c6039e4a">[zk: 192.168.0.151:2181(CONNECTED) 4] getAcl /test 
+'world,'anyone
+: cdrwa
+'sasl,'admin@<em id="mrs_01_2097__i7573153972515">&lt;system domain name&gt;</em>
+: cdrwa</pre>
+</p></li></ol>
+<p class="tableheading" id="mrs_01_2097__ad7137080309e40d298ddb44b70f2eccb"><strong id="mrs_01_2097__a8ba932bbfd6e4ad98e25143543c38b66">Modify the ZooKeeper znode ACL.</strong></p>
+<ol start="13" id="mrs_01_2097__o611795b595de4bbeb2a3e409ca8d32af"><li id="mrs_01_2097__lf44004b8026841adadf185c4d784344c"><span>Start the ZooKeeper client.</span></li><li id="mrs_01_2097__lbf3e8bedf8da4b58b15c9cd9d6f6f5bd"><span>View the old ACL information to check whether the current account has the permission to modify the znode ACL information (a permission). If no, use kinit to switch to a user that has the permission and restart the ZooKeeper client.</span><p><p class="litext" id="mrs_01_2097__a1d99b450ff5d46d196f28c95f6fb576f"><strong id="mrs_01_2097__a5c712b44f35a4d6395de74888b92972e">getAcl</strong> /<em id="mrs_01_2097__aa85904860e504a779e0d9a46e02bd9e1">znode name</em></p>
+<pre class="screen" id="mrs_01_2097__sc34f67359f3440e2899c70d990242266">[zk: 192.168.0.151:2181(CONNECTED) 5] getAcl /test 
+'world,'anyone
+: cdrwa
+'sasl,'admin@<em id="mrs_01_2097__i16880647227">&lt;system domain name&gt;</em>
+: cdrwa</pre>
+</p></li><li id="mrs_01_2097__l6f56967de1034c7b9eeee8d1d8e27703"><span>Run the <strong id="mrs_01_2097__aea98583473124be7b36cc740fb9fb8da">setAcl</strong> command to modify an ACL. The command for adding an ACL is as follows:</span><p><p id="mrs_01_2097__a6e3ba6e50332476d8a4d56b11d1a26ae">s<strong id="mrs_01_2097__a79a70ce84d4641d0b3567b90bb5d6ea5">etAcl /test  sasl:</strong><em id="mrs_01_2097__a57b9177cbf084a3d9366997df5bed79f">Username</em><em id="mrs_01_2097__abb88bd26cce74011a16badc76f59928a">@</em><em id="mrs_01_2097__i119919105226">&lt;System domain name&gt;</em>:<em id="mrs_01_2097__a06b598446f6847c08a218150840b3383">ACL value</em></p>
+<p id="mrs_01_2097__a1d88c75ce4634567a0fb856ee44750bb">For example, to reserve only <strong id="mrs_01_2097__b39880094592652">admin</strong> user permission and delete <strong id="mrs_01_2097__b149003454292652">anyone</strong> rw permission, run the following command:</p>
+<p id="mrs_01_2097__aad74ecb46ce74f2ebdd9c27c6780583f"><strong id="mrs_01_2097__a89c4e1bd767d4b658e0916dced6fa128">setAcl /test sasl:admin@HADOOP.COM:cdrwa</strong></p>
+</p></li><li id="mrs_01_2097__l6d14f7e05a1e47fbb10b4e44bf35b5d0"><span>After modifying the ACL, run the <strong id="mrs_01_2097__aa8a27e1dfbbd42a697c257c38071e8de">getAcl</strong> command to check whether the permission is modified successfully:</span><p><p id="mrs_01_2097__a6b59d2d48f0c400e99a8eb1b28422598"><strong id="mrs_01_2097__a584c4a4eae7c4157a31b18b835f8b088">getAcl</strong> /<em id="mrs_01_2097__a245a4d28c99c43288c279a166212eeea">znode name</em></p>
+<pre class="screen" id="mrs_01_2097__s7a5f1035caf84ebf970de724b65557d5">[zk: 192.168.0.151:2181(CONNECTED) 6] getAcl /test 
+'sasl,'admin@<em id="mrs_01_2097__i18534034112218">&lt;system domain name&gt;</em>
+: cdrwa</pre>
+</p></li></ol>
+<p class="tableheading" id="mrs_01_2097__a2fe99b1c96b64e0994dd2e03fef8640d"><strong id="mrs_01_2097__a5db2d3b35c774f7689281236c395395e">Delete the ZooKeeper znode ACL.</strong></p>
+<ol start="17" id="mrs_01_2097__o22341e0177cf406c933577c81af2343b"><li id="mrs_01_2097__l5d4ffe17b5f849ae800819f7af11a509"><span>Start the ZooKeeper client.</span></li><li id="mrs_01_2097__l6f475800055944b4b7c47b2e99e546d5"><span>View the old ACL information to check whether the current account has the permission to modify the znode ACL information (a permission). If no, use kinit to switch to a user that has the permission and restart the ZooKeeper client.</span><p><p id="mrs_01_2097__ac9933862c21e4c55b091efc5a4d31ec9"><strong id="mrs_01_2097__a784fc2b7eaa94edd887c827ddc42971b">getAcl</strong> /<em id="mrs_01_2097__aa7bd86a7687e4bd49054e26adb07409d">znode name</em></p>
+<pre class="screen" id="mrs_01_2097__s5f8753ebf40847038a4b74208ba86b0d">[zk: 192.168.0.151:2181(CONNECTED) 5] getAcl /test 
+'world,'anyone
+: rw
+'sasl,'admin@<em id="mrs_01_2097__i431416369227">&lt;system domain name&gt;</em>
+: cdrwa</pre>
+</p></li><li id="mrs_01_2097__l162f7b12bcf34605a33cce6df5e5187a"><span>Run the <strong id="mrs_01_2097__a6e7156f17b524a1b81e65cda42f6ca75">setAcl</strong> command to add an ACL. The command for adding an ACL is as follows:</span><p><p id="mrs_01_2097__aaa9f02920267472c8e2e411839e7984f">s<strong id="mrs_01_2097__b593193885520">etAcl /test  sasl:</strong><em id="mrs_01_2097__i1293338165520">Username</em><em id="mrs_01_2097__i193738195518">@</em><em id="mrs_01_2097__i1893738185511">&lt;System domain name&gt;</em>:<em id="mrs_01_2097__i393113810557">ACL value</em></p>
+<p id="mrs_01_2097__ab52f64f21ce24bd382eded85161f1eb4">For example, to reserve only <strong id="mrs_01_2097__b207862927192652">admin</strong> user permission and delete <strong id="mrs_01_2097__b162639980792652">anyone</strong> rw permission, run the following command:</p>
+<p id="mrs_01_2097__a415d00f1909b4b149cbbc5cfca0841fe"><strong id="mrs_01_2097__af2c94fc9965b49d5a1ab4c6b7dad59eb">setAcl /test  sasl:admin@HADOOP.COM:cdrwa</strong></p>
+</p></li><li id="mrs_01_2097__lf335b54863f04c8ca9191ad3051b26c4"><span>After modifying the ACL, run the <strong id="mrs_01_2097__a26f02be0d0ed4ee8a60f48e07173136f">getAcl</strong> command to check whether the permission is modified successfully: </span><p><p id="mrs_01_2097__a8bfb0aaaef624f0da9e54a7943469db4"><strong id="mrs_01_2097__b83184859992652">getAcl</strong> /<em id="mrs_01_2097__i148300756792652">znode name</em></p>
+<pre class="screen" id="mrs_01_2097__s624b5c34770e4b8491847c044aab54a3">[zk: 192.168.0.151:2181(CONNECTED) 6] getAcl /test
+'sasl,'admin@<em id="mrs_01_2097__i19806142022318">&lt;system domain name&gt;</em>
+: cdrwa</pre>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2092.html">Using ZooKeeper</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2106.html b/docs/mrs/component-operation-guide/mrs_01_2106.html
new file mode 100644
index 000000000..bb2aeed75
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+++ b/docs/mrs/component-operation-guide/mrs_01_2106.html
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+<a name="mrs_01_2106"></a><a name="mrs_01_2106"></a>
+
+<h1 class="topictitle1">ZooKeeper Log Overview</h1>
+<div id="body1595905686220"><div class="section" id="mrs_01_2106__s99ce062ad9f94f2fb60eb6cf16c14f80"><h4 class="sectiontitle">Log Description</h4><p class="msonormal" id="mrs_01_2106__en-us_topic_0046736752_p63132773"><strong id="mrs_01_2106__b20465861642316">Log path</strong>: <strong id="mrs_01_2106__b191759748542316">/var/log/Bigdata/zookeeper/quorumpeer</strong> (Run log), <strong id="mrs_01_2106__b84432615842316">/var/log/Bigdata/audit/zookeeper/quorumpeer</strong> (Audit log)</p>
+<p class="msonormal" id="mrs_01_2106__en-us_topic_0046736752_p13481002"><strong id="mrs_01_2106__b184142214167">Log archive rule</strong>: The automatic ZooKeeper log compression function is enabled. By default, when the size of logs exceeds 30 MB, logs are automatically compressed into a log file. A maximum of 20 compressed file can be reserved. The number of compressed files can be configured on Manager.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2106__en-us_topic_0046736752_table18219363" frame="border" border="1" rules="all"><caption><b>Table 1 </b>ZooKeeper log list</caption><thead align="left"><tr id="mrs_01_2106__en-us_topic_0046736752_row45945641"><th align="left" class="cellrowborder" valign="top" width="21.45785421457854%" id="mcps1.3.1.4.2.4.1.1"><p id="mrs_01_2106__en-us_topic_0046736752_p30609437"><strong id="mrs_01_2106__b1085174612159">Log Type</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="38.74612538746124%" id="mcps1.3.1.4.2.4.1.2"><p id="mrs_01_2106__en-us_topic_0046736752_p34137352"><strong id="mrs_01_2106__b1846853312424">Log File Name</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="39.7960203979602%" id="mcps1.3.1.4.2.4.1.3"><p id="mrs_01_2106__en-us_topic_0046736752_p55850590"><strong id="mrs_01_2106__en-us_topic_0046736752_b32893262">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2106__en-us_topic_0046736752_row47108584"><td class="cellrowborder" rowspan="10" valign="top" width="21.45785421457854%" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_2106__en-us_topic_0046736752_p57698950">Run logs</p>
+<p id="mrs_01_2106__p163039541515"></p>
+</td>
+<td class="cellrowborder" valign="top" width="38.74612538746124%" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_2106__en-us_topic_0046736752_p43103377">zookeeper-&lt;SSH_USER&gt;-&lt;process_name&gt;-&lt;hostname&gt;.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.7960203979602%" headers="mcps1.3.1.4.2.4.1.3 "><p id="mrs_01_2106__en-us_topic_0046736752_p1712624">ZooKeeper system log file, which records most of the logs generated when the ZooKeeper system is running.</p>
+</td>
+</tr>
+<tr id="mrs_01_2106__en-us_topic_0046736752_row15413619"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_2106__en-us_topic_0046736752_p40543596">check-serviceDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_2106__en-us_topic_0046736752_p62805805">Log that records whether the ZooKeeper service starts successfully.</p>
+</td>
+</tr>
+<tr id="mrs_01_2106__en-us_topic_0046736752_row28381336"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_2106__en-us_topic_0046736752_p17186905">zookeeper-&lt;SSH_USER&gt;-&lt;DATA&gt;-&lt;PID&gt;-gc.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_2106__en-us_topic_0046736752_p49962103">ZooKeeper garbage collection log file</p>
+</td>
+</tr>
+<tr id="mrs_01_2106__en-us_topic_0046736752_row47005748"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_2106__en-us_topic_0046736752_p49369256">instanceHealthDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_2106__en-us_topic_0046736752_p39486763">Log that records the health check details of ZooKeeper instance</p>
+</td>
+</tr>
+<tr id="mrs_01_2106__en-us_topic_0046736752_row19836555"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_2106__en-us_topic_0046736752_p63257131">zookeeper-omm-server-&lt;hostname&gt;.out</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_2106__en-us_topic_0046736752_p23553967">Log indicating that ZooKeeper unexpectedly quits</p>
+</td>
+</tr>
+<tr id="mrs_01_2106__en-us_topic_0046736752_row10659114"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_2106__en-us_topic_0046736752_p58081920">zk-err-&lt;zkpid&gt;.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_2106__en-us_topic_0046736752_p7015086">ZooKeeper fatal error log</p>
+</td>
+</tr>
+<tr id="mrs_01_2106__en-us_topic_0046736752_row63135782"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_2106__en-us_topic_0046736752_p13724749">java_pid&lt;zkpid&gt;.hprof</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_2106__en-us_topic_0046736752_p37962847">ZooKeeper memory overflow log</p>
+</td>
+</tr>
+<tr id="mrs_01_2106__row149405420562"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_2106__p495153212177">funcDetail.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_2106__p139522324171">ZooKeeper instance startup log</p>
+</td>
+</tr>
+<tr id="mrs_01_2106__row165848615563"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_2106__p458516611567">zookeeper-period-check.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_2106__p165851869564">Health check log of the ZooKeeper instance</p>
+</td>
+</tr>
+<tr id="mrs_01_2106__row1302145101512"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_2106__p3303165201512">zookeeper-period-check-java.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_2106__p53031758157">ZooKeeper quota monitoring period check log</p>
+</td>
+</tr>
+<tr id="mrs_01_2106__en-us_topic_0046736752_row6121309"><td class="cellrowborder" valign="top" width="21.45785421457854%" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_2106__en-us_topic_0046736752_p26063997">Audit Log</p>
+</td>
+<td class="cellrowborder" valign="top" width="38.74612538746124%" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_2106__en-us_topic_0046736752_p30809022">zk-audit-quorumpeer.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="39.7960203979602%" headers="mcps1.3.1.4.2.4.1.3 "><p id="mrs_01_2106__en-us_topic_0046736752_p12502855">ZooKeeper operation audit log</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_2106__section6385114155917"><h4 class="sectiontitle">Log levels</h4><p class="msonormal" id="mrs_01_2106__en-us_topic_0046736752_p6098369"><a href="#mrs_01_2106__tbae56afd6a3d4eb5b6260b7d0fd10cbf">Table 2</a> describes the log levels supported by ZooKeeper. The priorities of log levels are FATAL, ERROR, WARN, INFO, and DEBUG in descending order. Logs whose levels are higher than or equal to the specified level are printed. The number of printed logs decreases as the specified log level increases.</p>
+
+<div class="tablenoborder"><a name="mrs_01_2106__tbae56afd6a3d4eb5b6260b7d0fd10cbf"></a><a name="tbae56afd6a3d4eb5b6260b7d0fd10cbf"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2106__tbae56afd6a3d4eb5b6260b7d0fd10cbf" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Log levels</caption><thead align="left"><tr id="mrs_01_2106__en-us_topic_0046736752_row48156590"><th align="left" class="cellrowborder" valign="top" width="23.23%" id="mcps1.3.2.3.2.3.1.1"><p id="mrs_01_2106__en-us_topic_0046736752_p8369714"><strong id="mrs_01_2106__b67844718338">Level</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="76.77000000000001%" id="mcps1.3.2.3.2.3.1.2"><p id="mrs_01_2106__en-us_topic_0046736752_p61724373"><strong id="mrs_01_2106__en-us_topic_0046736752_b18648453">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2106__en-us_topic_0046736752_row34129699"><td class="cellrowborder" valign="top" width="23.23%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_2106__en-us_topic_0046736752_p13042201">FATAL</p>
+</td>
+<td class="cellrowborder" valign="top" width="76.77000000000001%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_2106__en-us_topic_0046736752_p49785360">Logs of this level record fatal error information about the current event processing that may result in a system crash.</p>
+</td>
+</tr>
+<tr id="mrs_01_2106__en-us_topic_0046736752_row45415059"><td class="cellrowborder" valign="top" width="23.23%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_2106__en-us_topic_0046736752_p54741166">ERROR</p>
+</td>
+<td class="cellrowborder" valign="top" width="76.77000000000001%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_2106__en-us_topic_0046736752_p4849437">Error information about the current event processing, which indicates that system running is abnormal.</p>
+</td>
+</tr>
+<tr id="mrs_01_2106__en-us_topic_0046736752_row43644936"><td class="cellrowborder" valign="top" width="23.23%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_2106__en-us_topic_0046736752_p45578897">WARN</p>
+</td>
+<td class="cellrowborder" valign="top" width="76.77000000000001%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_2106__en-us_topic_0046736752_p903138">Abnormal information about the current event processing. These abnormalities will not result in system faults.</p>
+</td>
+</tr>
+<tr id="mrs_01_2106__en-us_topic_0046736752_row8128245"><td class="cellrowborder" valign="top" width="23.23%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_2106__en-us_topic_0046736752_p54408134">INFO</p>
+</td>
+<td class="cellrowborder" valign="top" width="76.77000000000001%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_2106__en-us_topic_0046736752_p44982772">Logs of this level record normal running status information about the system and events.</p>
+</td>
+</tr>
+<tr id="mrs_01_2106__en-us_topic_0046736752_row2191769"><td class="cellrowborder" valign="top" width="23.23%" headers="mcps1.3.2.3.2.3.1.1 "><p id="mrs_01_2106__en-us_topic_0046736752_p43315613">DEBUG</p>
+</td>
+<td class="cellrowborder" valign="top" width="76.77000000000001%" headers="mcps1.3.2.3.2.3.1.2 "><p id="mrs_01_2106__en-us_topic_0046736752_p18903728">Logs of this level record the system information and system debugging information.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="msonormal" id="mrs_01_2106__en-us_topic_0046736752_p35915832">To modify log levels, perform the following operations:</p>
+<ol id="mrs_01_2106__en-us_topic_0046736752_ol54807037"><li id="mrs_01_2106__li1696964315226"><span>Go to the <strong id="mrs_01_2106__b199051338174">All Configurations</strong> page of the ZooKeeper service by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</span></li><li id="mrs_01_2106__en-us_topic_0046736752_li19678815"><span>On the menu bar on the left, select the log menu of the target role.</span></li><li id="mrs_01_2106__en-us_topic_0046736752_li42891613"><span>Select a desired log level.</span></li><li id="mrs_01_2106__en-us_topic_0046736752_li50480197"><span>Click <strong id="mrs_01_2106__b196560210342316">Save</strong>. In the displayed dialog box, click <strong id="mrs_01_2106__b115893609742316">OK</strong> to make the configuration take effect.</span><p><div class="note" id="mrs_01_2106__en-us_topic_0046736752_note51668594"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_2106__en-us_topic_0046736752_p62364163">The configurations take effect immediately without the need to restart the service.</p>
+</div></div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_2106__se52527f5d10f4fa381c994236be9f858"><h4 class="sectiontitle">Log Format</h4><p class="msonormal" id="mrs_01_2106__en-us_topic_0046736752_p18332482">The following table lists the ZooKeeper log formats.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2106__en-us_topic_0046736752_table30774618" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Log Format</caption><thead align="left"><tr id="mrs_01_2106__en-us_topic_0046736752_row39801087"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.3.3.2.5.1.1"><p id="mrs_01_2106__en-us_topic_0046736752_p2662628">Log Type</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.3.3.2.5.1.2"><p id="mrs_01_2106__en-us_topic_0046736752_p62007849"><strong id="mrs_01_2106__en-us_topic_0046736752_b21199731">Component</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.3.3.2.5.1.3"><p id="mrs_01_2106__en-us_topic_0046736752_p39456621"><strong id="mrs_01_2106__en-us_topic_0046736752_b19565271">Format</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.3.3.2.5.1.4"><p id="mrs_01_2106__en-us_topic_0046736752_p41283123">Example</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2106__en-us_topic_0046736752_row30625926"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.3.2.5.1.1 "><p id="mrs_01_2106__en-us_topic_0046736752_p64780962">Run logs</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.3.2.5.1.2 "><p id="mrs_01_2106__en-us_topic_0046736752_p12766603">zookeeper</p>
+<p id="mrs_01_2106__en-us_topic_0046736752_p47790568">quorumpeer</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.3.2.5.1.3 "><p id="mrs_01_2106__en-us_topic_0046736752_p45830766">&lt;<em id="mrs_01_2106__i78921129042316">yyyy-MM-dd HH:mm:ss,SSS</em>&gt;|&lt;<em id="mrs_01_2106__i38153313842316">Log level</em>&gt;|&lt;<em id="mrs_01_2106__i70438156142316">Name of the thread that generates the log</em>&gt;|&lt;<em id="mrs_01_2106__i156831992142316">Message in the log</em>&gt;|&lt;<em id="mrs_01_2106__i56677689242316">Location where the log event occurs</em>&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.3.2.5.1.4 "><p id="mrs_01_2106__en-us_topic_0046736752_p21304565">2020-01-20 16:33:43,816 | INFO | main | Defaulting to majority quorums | org.apache.zookeeper.server.quorum.QuorumPeerConfig.parseProperties(QuorumPeerConfig.java:335)</p>
+</td>
+</tr>
+<tr id="mrs_01_2106__en-us_topic_0046736752_row57523360"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.3.2.5.1.1 "><p id="mrs_01_2106__en-us_topic_0046736752_p28880587">Audit logs</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.3.2.5.1.2 "><p id="mrs_01_2106__en-us_topic_0046736752_p57626186">zookeeper</p>
+<p id="mrs_01_2106__en-us_topic_0046736752_p48873629">quorumpeer</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.3.2.5.1.3 "><p id="mrs_01_2106__en-us_topic_0046736752_p66449846">&lt;<em id="mrs_01_2106__i187866022442316">yyyy-MM-dd HH:mm:ss,SSS</em>&gt;|&lt;<em id="mrs_01_2106__i76730056142316">Log level</em>&gt;|&lt;<em id="mrs_01_2106__i155055934942316">Name of the thread that generates the log</em>&gt;|&lt;<em id="mrs_01_2106__i204488447942316">Message in the log</em>&gt;|&lt;<em id="mrs_01_2106__i118300271142316">Location where the log event occurs</em>&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.3.2.5.1.4 "><p id="mrs_01_2106__en-us_topic_0046736752_p13728407">2020-01-20 16:33:54,313 | INFO | CommitProcessor:13 | session=0xd4b0679daea0000 ip=10.177.112.145 operation=create znode target=ZooKeeperServer znode=/zk-write-test-2 result=success | org.apache.zookeeper.ZKAuditLogger$LogLevel$5.printLog(ZKAuditLogger.java:70)</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2092.html">Using ZooKeeper</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2107.html b/docs/mrs/component-operation-guide/mrs_01_2107.html
new file mode 100644
index 000000000..9cf9f4e87
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+++ b/docs/mrs/component-operation-guide/mrs_01_2107.html
@@ -0,0 +1,27 @@
+<a name="mrs_01_2107"></a><a name="mrs_01_2107"></a>
+
+<h1 class="topictitle1">Common Issues About ZooKeeper</h1>
+<div id="body1595905686222"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_2108.html">Why Do ZooKeeper Servers Fail to Start After Many znodes Are Created?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2109.html">Why Does the ZooKeeper Server Display the java.io.IOException: Len Error Log?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2110.html">Why Four Letter Commands Don't Work With Linux netcat Command When Secure Netty Configurations Are Enabled at Zookeeper Server?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2111.html">How Do I Check Which ZooKeeper Instance Is a Leader?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2112.html">Why Cannot the Client Connect to ZooKeeper using the IBM JDK?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2113.html">What Should I Do When the ZooKeeper Client Fails to Refresh a TGT?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2114.html">Why Is Message "Node does not exist" Displayed when A Large Number of Znodes Are Deleted Using the deleteall Command</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2092.html">Using ZooKeeper</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2108.html b/docs/mrs/component-operation-guide/mrs_01_2108.html
new file mode 100644
index 000000000..6c2285168
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2108.html
@@ -0,0 +1,76 @@
+<a name="mrs_01_2108"></a><a name="mrs_01_2108"></a>
+
+<h1 class="topictitle1">Why Do ZooKeeper Servers Fail to Start After Many znodes Are Created?</h1>
+<div id="body1595905686225"><div class="section" id="mrs_01_2108__s29697258ba1d4e448b0dd531146172d6"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2108__ae9d73d94d8b3419a83ced5b6553af7a5">After a large number of znodes are created, ZooKeeper servers in the ZooKeeper cluster become faulty and cannot be automatically recovered or restarted.</p>
+<p id="mrs_01_2108__ae64b3c88e012489f949cc0998938c27d">Logs of followers:</p>
+</div>
+<pre class="screen" id="mrs_01_2108__s14e5592ed5d744cea0785b48dee6550b">2016-06-23 08:00:18,763 | WARN  | QuorumPeer[myid=26](plain=/10.16.9.138:2181)(secure=disabled) | Exception when following the leader | org.apache.zookeeper.server.quorum.Follower.followLeader(Follower.java:93)
+java.net.SocketTimeoutException: Read timed out
+    at java.net.SocketInputStream.socketRead0(Native Method)
+    at java.net.SocketInputStream.socketRead(SocketInputStream.java:116)
+    at java.net.SocketInputStream.read(SocketInputStream.java:170)
+    at java.net.SocketInputStream.read(SocketInputStream.java:141)
+    at java.io.BufferedInputStream.fill(BufferedInputStream.java:246)
+    at java.io.BufferedInputStream.read(BufferedInputStream.java:265)
+    at java.io.DataInputStream.readInt(DataInputStream.java:387)
+    at org.apache.jute.BinaryInputArchive.readInt(BinaryInputArchive.java:63)
+    at org.apache.zookeeper.server.quorum.QuorumPacket.deserialize(QuorumPacket.java:83)
+    at org.apache.jute.BinaryInputArchive.readRecord(BinaryInputArchive.java:99)
+    at org.apache.zookeeper.server.quorum.Learner.readPacket(Learner.java:156)
+    at org.apache.zookeeper.server.quorum.Learner.registerWithLeader(Learner.java:276)
+    at org.apache.zookeeper.server.quorum.Follower.followLeader(Follower.java:75)
+    at org.apache.zookeeper.server.quorum.QuorumPeer.run(QuorumPeer.java:1094)</pre>
+<pre class="screen" id="mrs_01_2108__sec1a2f9bc92a4d28a6cff4c933adb79a">2016-06-23 08:00:18,764 | INFO  | QuorumPeer[myid=26](plain=/10.16.9.138:2181)(secure=disabled) | shutdown called | org.apache.zookeeper.server.quorum.Follower.shutdown(Follower.java:198)
+java.lang.Exception: shutdown Follower
+    at org.apache.zookeeper.server.quorum.Follower.shutdown(Follower.java:198)
+    at org.apache.zookeeper.server.quorum.QuorumPeer.stopFollower(QuorumPeer.java:1141)
+    at org.apache.zookeeper.server.quorum.QuorumPeer.run(QuorumPeer.java:1098)</pre>
+<p id="mrs_01_2108__aa592663894d0402e90ca9c5b86dc356f">Logs of the leader:</p>
+<pre class="screen" id="mrs_01_2108__sb97709de30d643aa92bc36eaa5749b66">2016-06-23 07:30:57,481 | WARN  | QuorumPeer[myid=25](plain=/10.16.9.136:2181)(secure=disabled) | Unexpected exception | org.apache.zookeeper.server.quorum.QuorumPeer.run(QuorumPeer.java:1108)
+java.lang.InterruptedException: Timeout while waiting for epoch to be acked by quorum
+    at org.apache.zookeeper.server.quorum.Leader.waitForEpochAck(Leader.java:1221)
+    at org.apache.zookeeper.server.quorum.Leader.lead(Leader.java:487)
+    at org.apache.zookeeper.server.quorum.QuorumPeer.run(QuorumPeer.java:1105)</pre>
+<pre class="screen" id="mrs_01_2108__sbffdb5bebb104a58ba98949dfdd56242">2016-06-23 07:30:57,482 | INFO  | QuorumPeer[myid=25](plain=/10.16.9.136:2181)(secure=disabled) | Shutdown called | org.apache.zookeeper.server.quorum.Leader.shutdown(Leader.java:623)
+java.lang.Exception: shutdown Leader! reason: Forcing shutdown
+    at org.apache.zookeeper.server.quorum.Leader.shutdown(Leader.java:623)
+    at org.apache.zookeeper.server.quorum.QuorumPeer.stopLeader(QuorumPeer.java:1149)
+    at org.apache.zookeeper.server.quorum.QuorumPeer.run(QuorumPeer.java:1110)</pre>
+<div class="section" id="mrs_01_2108__s9baaaacbe1ce4b91834d7fd99f6f3d4c"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2108__a516fcc2fcb9b4a3b9f6bca784444f3b2">After a large number of znodes are created, a large volume of data needs to be synchronized between the follower and leader. If the data synchronization is not complete within the specified time, all ZooKeeper servers fail to start.</p>
+<p id="mrs_01_2108__a10796c6b99674320b7e7a58ee1502475">Go to the <strong id="mrs_01_2108__b796135295017">All Configurations</strong> page of the ZooKeeper service by referring to <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>. To recover ZooKeeper servers, increase the values of <span class="parmname" id="mrs_01_2108__pda716e22c91f45028acf7cd3a6c49a6f"><b>syncLimit</b></span> and <span class="parmname" id="mrs_01_2108__p0b1814cec07845b8aae8f8011782484f"><b>initLimit</b></span> in the ZooKeeper configuration file <span class="filepath" id="mrs_01_2108__f1a943d07a05443b9ac63015c0cdec04a"><b>zoo.cfg</b></span> until ZooKeeper servers are successfully started.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2108__td08917816a554d809d3d9ca0e61fa277" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters</caption><thead align="left"><tr id="mrs_01_2108__r76d8e385e97c46bcb09e0b4c2d75027d"><th align="left" class="cellrowborder" valign="top" width="19.12%" id="mcps1.3.7.4.2.4.1.1"><p id="mrs_01_2108__acc54b3bb4c2f4709b03470735fb69ab1">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="65.91%" id="mcps1.3.7.4.2.4.1.2"><p id="mrs_01_2108__a2739f360c4884a70b02dec736587c4a4">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="14.97%" id="mcps1.3.7.4.2.4.1.3"><p id="mrs_01_2108__ac423d5a63da1469383c2a730a46e36bd">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2108__ra7688eee994344459b90d3db51134694"><td class="cellrowborder" valign="top" width="19.12%" headers="mcps1.3.7.4.2.4.1.1 "><p id="mrs_01_2108__a061a71dd3dd34733aa4148fa94b7738f">syncLimit</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.91%" headers="mcps1.3.7.4.2.4.1.2 "><p id="mrs_01_2108__a55cc9de4015245cb88b3c52f48ced905">Interval (unit: tick) at which data is synchronized between the follower and the leader. If the leader does not respond to the follower within the specified time, the connection between the leader and follower cannot be set up.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.97%" headers="mcps1.3.7.4.2.4.1.3 "><p id="mrs_01_2108__ae091b2e8c91d4a1facffe3d821625954">15</p>
+</td>
+</tr>
+<tr id="mrs_01_2108__r9a0d5b8c46c542f3a65d884908d9fbe1"><td class="cellrowborder" valign="top" width="19.12%" headers="mcps1.3.7.4.2.4.1.1 "><p id="mrs_01_2108__a01a87c013403446792c23d1cbe328f61">initLimit</p>
+</td>
+<td class="cellrowborder" valign="top" width="65.91%" headers="mcps1.3.7.4.2.4.1.2 "><p id="mrs_01_2108__af13929294085467cb3031af0bf47438e">Interval (unit: tick) within which the connection and synchronization between the follower and leader must be completed.</p>
+</td>
+<td class="cellrowborder" valign="top" width="14.97%" headers="mcps1.3.7.4.2.4.1.3 "><p id="mrs_01_2108__ae5bf0817cdf9421fb360264d7f14ec2b">15</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_2108__adec73f5d688b4510a2900c568f173f4b">If ZooKeeper servers do not recover even after <span class="parmname" id="mrs_01_2108__pc74e934e12a1440199b033bd624ab663"><b>initLimit</b></span> and <span class="parmname" id="mrs_01_2108__pa134119071594aa8bb31099ae758293f"><b>syncLimit</b></span> are set to <span class="parmvalue" id="mrs_01_2108__p65acdc1772cf4648a1701e0ecc1d7a0e"><b>300</b></span> ticks, check that no other application is killing the ZooKeeper. For example, if the parameter value is <span class="parmvalue" id="mrs_01_2108__p97e39734e4d54ba9a6324502131926b4"><b>300</b></span> and the ticket duration is 2000 ms, the maximum synchronization duration is 600s (300 x 2000 ms).</p>
+<p id="mrs_01_2108__a09b8359b02cf466fa446448d1d928527">There may exist the situation where an overwhelming amount of data is created in ZooKeeper and it takes long to synchronize data between the follower and the leader and to save data to the hard disk. This means that ZooKeeper needs to run for a long time. Ensure that no other monitoring application kills the ZooKeeper while ZooKeeper is running.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2107.html">Common Issues About ZooKeeper</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2109.html b/docs/mrs/component-operation-guide/mrs_01_2109.html
new file mode 100644
index 000000000..ae0106137
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2109.html
@@ -0,0 +1,80 @@
+<a name="mrs_01_2109"></a><a name="mrs_01_2109"></a>
+
+<h1 class="topictitle1">Why Does the ZooKeeper Server Display the java.io.IOException: Len Error Log?</h1>
+<div id="body1595905686228"><div class="section" id="mrs_01_2109__sf6396fde3a464cf5ab3c09fd414c1c53"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2109__a28f6578decb84ac58d32560cce2cbd92">After a large number of znodes are created in a parent directory, the ZooKeeper client will fail to fetch all child nodes of this parent directory in a single request.</p>
+<p id="mrs_01_2109__a5256f9a188d845babab990273755135d">Logs of client:</p>
+<pre class="screen" id="mrs_01_2109__s5f51b6466d1f4dc588902e2343debd43">2017-07-11 13:17:19,610 [myid:] - WARN  [New I/O worker #3:ClientCnxnSocketNetty$ZKClientHandler@468] - Exception caught: [id: 0xb66cbb85, /10.18.97.97:49192 :&gt; 10.18.97.97/10.18.97.97:2181] EXCEPTION: java.nio.channels.ClosedChannelException
+java.nio.channels.ClosedChannelException
+at org.jboss.netty.handler.ssl.SslHandler$6.run(SslHandler.java:1580)
+at org.jboss.netty.channel.socket.ChannelRunnableWrapper.run(ChannelRunnableWrapper.java:40)
+at org.jboss.netty.channel.socket.nio.AbstractNioWorker.executeInIoThread(AbstractNioWorker.java:71)
+at org.jboss.netty.channel.socket.nio.NioWorker.executeInIoThread(NioWorker.java:36)
+at org.jboss.netty.channel.socket.nio.AbstractNioWorker.executeInIoThread(AbstractNioWorker.java:57)
+at org.jboss.netty.channel.socket.nio.NioWorker.executeInIoThread(NioWorker.java:36)
+at org.jboss.netty.channel.socket.nio.AbstractNioChannelSink.execute(AbstractNioChannelSink.java:34)
+at org.jboss.netty.handler.ssl.SslHandler.channelClosed(SslHandler.java:1566)
+at org.jboss.netty.channel.Channels.fireChannelClosed(Channels.java:468
+at org.jboss.netty.channel.socket.nio.AbstractNioWorker.close(AbstractNioWorker.java:376)
+at org.jboss.netty.channel.socket.nio.NioWorker.read(NioWorker.java:93)
+at org.jboss.netty.channel.socket.nio.AbstractNioWorker.process(AbstractNioWorker.java:109)
+at org.jboss.netty.channel.socket.nio.AbstractNioSelector.run(AbstractNioSelector.java:312)
+at org.jboss.netty.channel.socket.nio.AbstractNioWorker.run(AbstractNioWorker.java:90)
+at org.jboss.netty.channel.socket.nio.NioWorker.run(NioWorker.java:178)
+at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
+at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
+at java.lang.Thread.run(Thread.java:745)</pre>
+<p id="mrs_01_2109__a6fb421df1575485cbcd2b307ce37da38">Logs of leader:</p>
+<pre class="screen" id="mrs_01_2109__s18416e5a4329449796b6c848085bc815">2017-07-11 13:17:33,043 [myid:1] - WARN  [New I/O worker #7:NettyServerCnxn@445] - Closing connection to /10.18.101.110:39856
+java.io.IOException: Len error 45
+at org.apache.zookeeper.server.NettyServerCnxn.receiveMessage(NettyServerCnxn.java:438)
+at org.apache.zookeeper.server.NettyServerCnxnFactory$CnxnChannelHandler.processMessage(NettyServerCnxnFactory.java:267)
+at org.apache.zookeeper.server.NettyServerCnxnFactory$CnxnChannelHandler.messageReceived(NettyServerCnxnFactory.java:187)
+at org.jboss.netty.channel.SimpleChannelHandler.handleUpstream(SimpleChannelHandler.java:88)
+at org.jboss.netty.channel.DefaultChannelPipeline.sendUpstream(DefaultChannelPipeline.java:564)
+at org.jboss.netty.channel.DefaultChannelPipeline.sendUpstream(DefaultChannelPipeline.java:559)
+at org.jboss.netty.channel.Channels.fireMessageReceived(Channels.java:268)
+at org.jboss.netty.channel.Channels.fireMessageReceived(Channels.java:255)
+at org.jboss.netty.channel.socket.nio.NioWorker.read(NioWorker.java:88)
+at org.jboss.netty.channel.socket.nio.AbstractNioWorker.process(AbstractNioWorker.java:109)
+at org.jboss.netty.channel.socket.nio.AbstractNioSelector.run(AbstractNioSelector.java:312)
+at org.jboss.netty.channel.socket.nio.AbstractNioWorker.run(AbstractNioWorker.java:90)
+at org.jboss.netty.channel.socket.nio.NioWorker.run(NioWorker.java:178)
+at org.jboss.netty.util.ThreadRenamingRunnable.run(ThreadRenamingRunnable.java:108)
+at org.jboss.netty.util.internal.DeadLockProofWorker$1.run(DeadLockProofWorker.java:42)
+at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
+at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
+at java.lang.Thread.run(Thread.java:745)</pre>
+</div>
+<div class="section" id="mrs_01_2109__s5f512079be1941738261c2ace8c60e07"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2109__a7ab5552421c74415b481aed89bed2e74">After a large number of znodes are created in a single parent directory and the client tries to fetch all the child znodes in a single request, the server will fail to return because the results exceed the data size that can be stored in a znode.</p>
+<p id="mrs_01_2109__a973dd7c2837041bcb9bd9ff86cfd2f61">To avoid this problem, set <span class="parmname" id="mrs_01_2109__p1a7e9d6740d84d3ebad391be8f96b1af"><b>jute.maxbuffer</b></span> to a larger value based on the client application.</p>
+<p id="mrs_01_2109__addb5487bf74748adade01a9ff49a9905"><span class="parmname" id="mrs_01_2109__pc0d6b0e8d9174ddfb498585b5826b5b6"><b>jute.maxbuffer</b></span> can only be set to a Java system property without the Zookeeper prefix. To set <span class="parmname" id="mrs_01_2109__pd54c5d6dde40478b8faf8adacf435a15"><b>jute.maxbuffer</b></span> to <em id="mrs_01_2109__i108828893193328">X</em>, set <strong id="mrs_01_2109__b41061696693328">Djute.maxbuffer</strong> to <em id="mrs_01_2109__i183060408193328">X</em> when starting the ZooKeeper client or the service.</p>
+<p id="mrs_01_2109__aa64d32630bdc473a8b947e76402242ee">For example, set the parameter to 4 MB: <strong id="mrs_01_2109__b174512302793328">-Djute.maxbuffer=0x400000</strong>.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2109__tf32581cc15914eeb904d85050ee52023" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters</caption><thead align="left"><tr id="mrs_01_2109__rf0700f0eab524337bb068029d5be8727"><th align="left" class="cellrowborder" valign="top" width="20.47%" id="mcps1.3.2.6.2.4.1.1"><p id="mrs_01_2109__ad935d94f183745fcbf65063fbcb98eb4"><strong id="mrs_01_2109__a24d54488706c4c2986f56e1bce485826">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="58.120000000000005%" id="mcps1.3.2.6.2.4.1.2"><p id="mrs_01_2109__af3812fe64cdb4811b237d640e0c8f7df"><strong id="mrs_01_2109__a5a8ac8903b474f54a7e7ce4447e6c343">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="21.41%" id="mcps1.3.2.6.2.4.1.3"><p id="mrs_01_2109__a47cbe5ee9a294c37a9798505af6e9283"><strong id="mrs_01_2109__ab69e9e56b24242e89c02210f35c3d2e3">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2109__r7008aa5d8c074f13baff51fa5e9bb310"><td class="cellrowborder" valign="top" width="20.47%" headers="mcps1.3.2.6.2.4.1.1 "><p id="mrs_01_2109__a1ad4efdbc7ed4ec9aefa78313a173472">jute.maxbuffer</p>
+</td>
+<td class="cellrowborder" valign="top" width="58.120000000000005%" headers="mcps1.3.2.6.2.4.1.2 "><p id="mrs_01_2109__a48657722d0d24ffd8c911ee517df6bbf">Specifies the maximum length of data that can be stored in znode. The unit is byte. Default value: 0xfffff, which is less than 1 MB.</p>
+<div class="note" id="mrs_01_2109__nbaa193dd733543f9a166dbdacb357eac"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_2109__a8c015599af634bd383da887fa2fe32bc">If this option is changed, the system property must be set on all servers and clients, otherwise problems will arise.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="21.41%" headers="mcps1.3.2.6.2.4.1.3 "><p id="mrs_01_2109__ad4267b89000846158d4ee546cc4efaed">0xfffff</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2107.html">Common Issues About ZooKeeper</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2110.html b/docs/mrs/component-operation-guide/mrs_01_2110.html
new file mode 100644
index 000000000..6ef2842ec
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2110.html
@@ -0,0 +1,23 @@
+<a name="mrs_01_2110"></a><a name="mrs_01_2110"></a>
+
+<h1 class="topictitle1">Why Four Letter Commands Don't Work With Linux netcat Command When Secure Netty Configurations Are Enabled at Zookeeper Server?</h1>
+<div id="body1595905686484"><div class="section" id="mrs_01_2110__sa16d74e818ca4b1f811552f9c5481a87"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2110__a89d2847da51549c39e5dc15c8bd6f254">Why four letter commands do not work with linux netcat command when secure netty configurations are enabled at Zookeeper server?</p>
+<p id="mrs_01_2110__a3b68cc82e24e4121ae4f1f0ea6752439">For example,</p>
+<p id="mrs_01_2110__acc3095224cff4454ab083c52fe486581"><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_2110__c1e5e0d4fcda645c28e95ac9f9ece7787">echo stat |netcat host port</span></b></i></p>
+</div>
+<div class="section" id="mrs_01_2110__sf060720c7726430d9e77cadc78516d95"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2110__abc3dcba5c9f6432f99976163b269f233">Linux <i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_2110__c4f937a0793db480c8d60323ba6033cb8">netcat</span></b></i> command does not have option to communicate Zookeeper server securely, so it cannot support Zookeeper four letter commands when secure netty configurations are enabled.</p>
+<p id="mrs_01_2110__a4fc938b615544950bc120e862f19ee83">To avoid this problem, user can use below Java API to execute four letter commands.</p>
+<pre class="screen" id="mrs_01_2110__sf3d282f5770243d1b460d162256a404b">org.apache.zookeeper.client.FourLetterWordMain</pre>
+<p id="mrs_01_2110__ab8268063dd6e4eeea2c54e0b28cf3edd">For example,</p>
+<pre class="screen" id="mrs_01_2110__s81117cb7bbf4404cb897dc6833422863">String[] args = new String[]{host, port, "stat"};
+org.apache.zookeeper.client.FourLetterWordMain.main(args);</pre>
+<div class="note" id="mrs_01_2110__n3d38165bea4541318ba3a823f9c0de8f"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2110__a0e717370569a44e7a511fdbe593e6aba"><i><b><span class="cmdname" style="font-family:Arial" id="mrs_01_2110__c695160c2540c442a8e2a215623324f06">netcat</span></b></i> command should be used only with non secure netty configuration.</p>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2107.html">Common Issues About ZooKeeper</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2111.html b/docs/mrs/component-operation-guide/mrs_01_2111.html
new file mode 100644
index 000000000..e101c2e1a
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2111.html
@@ -0,0 +1,14 @@
+<a name="mrs_01_2111"></a><a name="mrs_01_2111"></a>
+
+<h1 class="topictitle1">How Do I Check Which ZooKeeper Instance Is a Leader?</h1>
+<div id="body1595905686486"><div class="section" id="mrs_01_2111__s24b16948c0db421db0952a9541fe6875"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2111__en-us_topic_0116216703_p108541116541">How to check whether the role of a ZooKeeper instance is a leader or follower.</p>
+</div>
+<div class="section" id="mrs_01_2111__s47562cf16cf342dab484731a589c0484"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2111__aeb3668f8c28d4640ad82069b02173d0b">Log in to Manager and choose <strong id="mrs_01_2111__b114142084341713">Cluster</strong> &gt; <em id="mrs_01_2111__i173977938741713">Name of the desired cluster</em> &gt; <strong id="mrs_01_2111__b69023559141713">Service</strong> &gt; <strong id="mrs_01_2111__b196854331041713">ZooKeeper</strong> &gt; <strong id="mrs_01_2111__b195912963641713">Instance</strong>. On the displayed page, click the name of the quorumpeer instance. On the displayed instance details page, view the server status of the instance.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2107.html">Common Issues About ZooKeeper</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2112.html b/docs/mrs/component-operation-guide/mrs_01_2112.html
new file mode 100644
index 000000000..d431f923f
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2112.html
@@ -0,0 +1,21 @@
+<a name="mrs_01_2112"></a><a name="mrs_01_2112"></a>
+
+<h1 class="topictitle1">Why Cannot the Client Connect to ZooKeeper using the IBM JDK?</h1>
+<div id="body1595905686488"><div class="section" id="mrs_01_2112__se35d02ee6b4f47c9b71fedd5f6c09a30"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2112__a3e05b5b5490e428cbc761c2285882ab2">When the IBM JDK is used, the client fails to connect to ZooKeeper.</p>
+</div>
+<div class="section" id="mrs_01_2112__sc380f8a8f5564d6cb27ba3d1fd0c36e2"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2112__a9280c635666c45f78db789c5b30cfa6f">The possible cause is that the <strong id="mrs_01_2112__b137302033492819">jaas.conf</strong> file format of the IBM JDK is different from that of the common JDK.</p>
+<p id="mrs_01_2112__a726d91d05fbf4ac1ad7f7ea8852bf30c">If IBM JDK is used, use the following <strong id="mrs_01_2112__b201339924392819">jaas.conf</strong> template. The <span class="parmname" id="mrs_01_2112__p981fd7be325b406cb55f3ec7478004f2"><b>useKeytab</b></span> file path must start with <span class="parmvalue" id="mrs_01_2112__ped37551fc19c4c07adfc9cd827599c66"><b>file://</b></span>, followed by an absolute path.</p>
+<pre class="screen" id="mrs_01_2112__sfe26156a53f944d5be8fdfed77a64d53">Client {
+<strong id="mrs_01_2112__a8f334c09846d46e6af6abfa531c0f1d0">com.ibm.security.auth.module.Krb5LoginModule required</strong>
+useKeytab="file://D:/install/HbaseClientSample/conf/user.keytab"
+principal="hbaseuser1"
+credsType="both";
+};</pre>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2107.html">Common Issues About ZooKeeper</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2113.html b/docs/mrs/component-operation-guide/mrs_01_2113.html
new file mode 100644
index 000000000..175fd4cb7
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2113.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_2113"></a><a name="mrs_01_2113"></a>
+
+<h1 class="topictitle1">What Should I Do When the ZooKeeper Client Fails to Refresh a TGT?</h1>
+<div id="body1595905686491"><div class="section" id="mrs_01_2113__s947ee4767c614313835fffc42a707030"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2113__a887ee6ea440842cdb322145a605c2df2">The ZooKeeper client fails to refresh a TGT and therefore ZooKeeper cannot be accessed. The error message is as follows:</p>
+<pre class="screen" id="mrs_01_2113__s6df65492c6f449fda8b05ed74a556917">Login: Could not renew TGT due to problem running shell command: '***/kinit -R'; exception was:org.apache.zookeeper.Shell$ExitCodeException: kinit: Ticket expired while renewing credentials</pre>
+</div>
+<div class="section" id="mrs_01_2113__s059084dc67844dfa9d7e5432d5d2662f"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2113__aed11aca389074804839d6cce31a0af84">ZooKeeper uses the system command <strong id="mrs_01_2113__b1654131311241">kinit – R</strong> to refresh a ticket. In the current version of <span id="mrs_01_2113__text109676306163">MRS</span>, the function of this command is canceled. If a long-term task needs to be executed, you are advised to implement the authentication function in keytab mode.</p>
+<p id="mrs_01_2113__afd5bcbdd83df4cb8a3781c19c2f98b62">In the <span class="filepath" id="mrs_01_2113__fd616a8f0ccc841879096c2c25c29d0ae"><b>jaas.conf</b></span> configuration file, set <span class="parmname" id="mrs_01_2113__p4551c0c8375b4502bdafcf5d9893a1ff"><b>useTicketCache</b></span> to <span class="parmname" id="mrs_01_2113__parmname01306531575"><b>false</b></span>, <span class="parmname" id="mrs_01_2113__p3f30d168ae1f4bd6b475c69338025965"><b>useKeyTab</b></span> to <span class="parmname" id="mrs_01_2113__parmname1078112161489"><b>true</b></span>, and specify the keytab path. </p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2107.html">Common Issues About ZooKeeper</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2114.html b/docs/mrs/component-operation-guide/mrs_01_2114.html
new file mode 100644
index 000000000..cbadceb04
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2114.html
@@ -0,0 +1,14 @@
+<a name="mrs_01_2114"></a><a name="mrs_01_2114"></a>
+
+<h1 class="topictitle1">Why Is Message "Node does not exist" Displayed when A Large Number of Znodes Are Deleted Using the <strong id="b12494122374118">deleteall </strong>Command</h1>
+<div id="body1595905686496"><div class="section" id="mrs_01_2114__s947ee4767c614313835fffc42a707030"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2114__p1211565290">When the client connects to a non-leader instance, run the <strong id="mrs_01_2114__b1046545145720">deleteall</strong> command to delete a large number of znodes, the error message "Node does not exist" is displayed, but run the <strong id="mrs_01_2114__b5176758155017">stat</strong> command, the node status can be obtained.</p>
+</div>
+<div class="section" id="mrs_01_2114__s059084dc67844dfa9d7e5432d5d2662f"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2114__afd5bcbdd83df4cb8a3781c19c2f98b62">The leader and follower data is not synchronized due to network problems or large data volume. To solve this problem, connect the client to the leader instance and delete the instance. To delete the leader node, view the IP address of the node where the leader resides by referring to <a href="mrs_01_2111.html">How Do I Check Which ZooKeeper Instance Is a Leader?</a>, run the <strong id="mrs_01_2114__b1950513710285">zkCli.sh -server leader</strong> <em id="mrs_01_2114__i16505147132813">node IP address</em> <strong id="mrs_01_2114__b0850174792816">2181</strong> command to connect to the client, and then run the <strong id="mrs_01_2114__b58516532287">deleteall </strong>command to delete the leader node. For details, see <a href="mrs_01_2095.html">Using a ZooKeeper Client</a>.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2107.html">Common Issues About ZooKeeper</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2122.html b/docs/mrs/component-operation-guide/mrs_01_2122.html
new file mode 100644
index 000000000..8322f5527
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2122.html
@@ -0,0 +1,15 @@
+<a name="mrs_01_2122"></a><a name="mrs_01_2122"></a>
+
+<h1 class="topictitle1">Appendix</h1>
+<div id="body1595818033516"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2123.html">Accessing Manager</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2126.html">Using an MRS Client</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2123.html b/docs/mrs/component-operation-guide/mrs_01_2123.html
new file mode 100644
index 000000000..878fc7b6e
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2123.html
@@ -0,0 +1,17 @@
+<a name="mrs_01_2123"></a><a name="mrs_01_2123"></a>
+
+<h1 class="topictitle1">Accessing Manager</h1>
+<div id="body8662426"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_0102.html">Accessing MRS Manager (Versions Earlier Than MRS 3.x)</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2122.html">Appendix</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2124.html b/docs/mrs/component-operation-guide/mrs_01_2124.html
new file mode 100644
index 000000000..29d147d00
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2124.html
@@ -0,0 +1,37 @@
+<a name="mrs_01_2124"></a><a name="mrs_01_2124"></a>
+
+<h1 class="topictitle1">Accessing FusionInsight Manager (MRS 3.<em id="en-us_topic_0264431534_i670012513813">x</em> or Later)</h1>
+<div id="body8662426"><div class="section" id="mrs_01_2124__en-us_topic_0264431534_section154212161315"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_2124__en-us_topic_0264431534_p10358815429">In MRS 3.<em id="mrs_01_2124__en-us_topic_0264431534_i20401614917">x</em> or later, FusionInsight Manager is used to monitor, configure, and manage clusters. After the cluster is installed, you can use the account to log in to FusionInsight Manager.</p>
+<div class="note" id="mrs_01_2124__en-us_topic_0264431534_note14182650123318"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2124__en-us_topic_0264431534_p5183450143314">If you cannot log in to the WebUI of the component, access FusionInsight Manager by referring to <a href="#mrs_01_2124__en-us_topic_0264431534_section20880102283115">Accessing FusionInsight Manager from an ECS</a>.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_2124__en-us_topic_0264431534_section17594144112487"><h4 class="sectiontitle">Accessing FusionInsight Manager Using EIP</h4><ol id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0035209594_ol83291629132212"><li id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0035209594_li3279631122315"><span>Log in to the MRS management console.</span></li><li id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0035209594_li1327953142318"><span>In the navigation pane, choose <strong id="mrs_01_2124__en-us_topic_0264431534_b1519197449113810">Clusters</strong> &gt; <strong id="mrs_01_2124__en-us_topic_0264431534_b1531186770113810">Active Clusters</strong>. Click the target cluster name to access the cluster details page.</span></li><li id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0035209594_li1228063116236"><span>Click <strong id="mrs_01_2124__en-us_topic_0264431534_b8606822309">Manager</strong> next to <strong id="mrs_01_2124__en-us_topic_0264431534_b1760617203019">MRS Manager</strong>. In the displayed dialog box, configure the EIP information.</span><p><ol type="a" id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0035209594_ol18689135562217"><li id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0035209594_li108661510154414">If no EIP is bound during MRS cluster creation, select an available EIP from the drop-down list on the right of <strong id="mrs_01_2124__en-us_topic_0264431534_b132491631192115">IEP</strong>. If you have bound an EIP when creating a cluster, go to <a href="#mrs_01_2124__en-us_topic_0264431534_li59591846143810">3.b</a>.<div class="note" id="mrs_01_2124__en-us_topic_0264431534_note155410395813"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2124__en-us_topic_0264431534_p165554317585">If no EIP is available, click <strong id="mrs_01_2124__en-us_topic_0264431534_b3505958132118">Manage EIP</strong> to <span id="mrs_01_2124__en-us_topic_0264431534_text368233972914">create</span> one. Then, select the <span id="mrs_01_2124__en-us_topic_0264431534_text5339203512814">create</span>d EIP from the drop-down list on the right of <strong id="mrs_01_2124__en-us_topic_0264431534_b34221256133714">EIP</strong>.</p>
+</div></div>
+</li><li id="mrs_01_2124__en-us_topic_0264431534_li59591846143810"><a name="mrs_01_2124__en-us_topic_0264431534_li59591846143810"></a><a name="en-us_topic_0264431534_li59591846143810"></a>Select the security group to which the security group rule to be added belongs. The security group is configured when the cluster is created.</li><li id="mrs_01_2124__en-us_topic_0264431534_li1254418112584">Add a security group rule. By default, the filled-in rule is used to access the EIP. To enable multiple IP address segments to access Manager, see steps <a href="#mrs_01_2124__en-us_topic_0264431534_en-us_topic_0035209594_li1049410469610">6</a> to <a href="#mrs_01_2124__en-us_topic_0264431534_en-us_topic_0035209594_li035723593115">9</a>. If you want to view, modify, or delete a security group rule, click <span class="parmname" id="mrs_01_2124__en-us_topic_0264431534_parmname14360153425010"><b>Manage Security Group Rule</b></span>.</li><li id="mrs_01_2124__en-us_topic_0264431534_li1654417120583">Select the information to be confirmed and click <strong id="mrs_01_2124__en-us_topic_0264431534_b86384112519">OK</strong>.</li></ol>
+</p></li><li id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0035209594_li637412814614"><span>Click <span class="parmvalue" id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0035209594_parmvalue14133114504618"><b>OK</b></span>. The Manager login page is displayed.</span></li><li id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0035209594_li1292192714017"><span>Enter the default username <span class="parmname" id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0035209594_parmname479602711473"><b>admin</b></span> and the password set during cluster creation, and click <span class="parmvalue" id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0035209594_parmvalue15370537547"><b>Log In</b></span>. The Manager page is displayed.</span><p><p id="mrs_01_2124__en-us_topic_0264431534_p12767326121519"></p>
+</p></li><li id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0035209594_li1049410469610"><a name="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0035209594_li1049410469610"></a><a name="en-us_topic_0264431534_en-us_topic_0035209594_li1049410469610"></a><span>On the MRS management console, choose <strong id="mrs_01_2124__en-us_topic_0264431534_b2084511635113810">Clusters</strong> &gt; <span class="parmname" id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0035209594_parmname138948113618"><b>Active Clusters</b></span>. Click the target cluster name to access the cluster details page.</span><p><div class="note" id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0035209594_note1731619556514"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0035209594_p27412810717">To grant other users the permission to access Manager, perform <a href="#mrs_01_2124__en-us_topic_0264431534_en-us_topic_0035209594_li1049410469610">6</a> to <a href="#mrs_01_2124__en-us_topic_0264431534_en-us_topic_0035209594_li035723593115">9</a> to add the users' public IP addresses to the trusted IP address range.</p>
+</div></div>
+</p></li><li id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0035209594_li55171454492"><span>Click <span class="parmvalue" id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0035209594_parmvalue951865114913"><b>Add Security Group Rule</b></span> on the right of <strong id="mrs_01_2124__en-us_topic_0264431534_b2635934124615">EIP</strong>.</span></li><li id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0035209594_li157971590483"><span>On the <span class="wintitle" id="mrs_01_2124__en-us_topic_0264431534_wintitle166258812128"><b>Add Security Group Rule</b></span> page, add the IP address segment for users to access the public network and select <strong id="mrs_01_2124__en-us_topic_0264431534_b11299161110135">I confirm that <em id="mrs_01_2124__en-us_topic_0264431534_i49471133101319">public network IP</em>/<em id="mrs_01_2124__en-us_topic_0264431534_i1710124418130">port</em> is a trusted public IP address. I understand that using 0.0.0.0/0. poses security risks</strong>.</span><p><p id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0035209594_p57621919535">By default, the IP address used for accessing the public network is filled. You can change the IP address segment as required. To enable multiple IP address segments, repeat steps <a href="#mrs_01_2124__en-us_topic_0264431534_en-us_topic_0035209594_li1049410469610">6</a> to <a href="#mrs_01_2124__en-us_topic_0264431534_en-us_topic_0035209594_li035723593115">9</a>. If you want to view, modify, or delete a security group rule, click <span class="parmname" id="mrs_01_2124__en-us_topic_0264431534_parmname112402619105"><b>Manage Security Group Rule</b></span>.</p>
+</p></li><li id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0035209594_li035723593115"><a name="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0035209594_li035723593115"></a><a name="en-us_topic_0264431534_en-us_topic_0035209594_li035723593115"></a><span>Click <span class="parmvalue" id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0035209594_parmvalue13980104715312"><b>OK</b></span>.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_2124__en-us_topic_0264431534_section20880102283115"><a name="mrs_01_2124__en-us_topic_0264431534_section20880102283115"></a><a name="en-us_topic_0264431534_section20880102283115"></a><h4 class="sectiontitle">Accessing FusionInsight Manager from an ECS</h4><ol id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0046344332_ol5783342710210"><li id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0046344332_li1519293110210"><span>On the MRS management console, click <span class="uicontrol" id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0046344332_uicontrol9385602102543"><b>Clusters</b></span>.</span></li><li id="mrs_01_2124__en-us_topic_0264431534_li5015950919196"><span>On the <span class="parmname" id="mrs_01_2124__en-us_topic_0264431534_parmname3638841319196"><b>Active Clusters</b></span> page, click the name of the specified cluster.</span><p><p id="mrs_01_2124__en-us_topic_0264431534_p9313421191940">Record the <span class="parmname" id="mrs_01_2124__en-us_topic_0264431534_parmname11291837373"><b>AZ</b></span>, <span class="parmname" id="mrs_01_2124__en-us_topic_0264431534_parmname92943712719"><b>VPC</b></span>, <span class="parmname" id="mrs_01_2124__en-us_topic_0264431534_parmname18299371877"><b>MRS Manager</b></span><span class="parmname" id="mrs_01_2124__en-us_topic_0264431534_parmname22914372712"><b>Security Group</b></span> of the cluster.</p>
+</p></li><li id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0046344332_li49015438102713"><span>On the homepage of the management console, choose <strong id="mrs_01_2124__en-us_topic_0264431534_b650633351218">Service List</strong> &gt; <strong id="mrs_01_2124__en-us_topic_0264431534_b1446517510118">Elastic Cloud Server</strong> to switch to the ECS management console and create an ECS.</span><p><ul id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0046344332_ul52353019104446"><li id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0046344332_li18917893104446">The <span class="parmname" id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0046344332_parmname1133108104446"><b>AZ</b></span>, <span class="parmname" id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0046344332_parmname10197980104446"><b>VPC</b></span>, and <span class="parmname" id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0046344332_parmname24672963104446"><b>Security Group</b></span> of the ECS must be the same as those of the cluster to be accessed.</li><li id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0046344332_li36008602104446">Select a Windows public image. For example, a standard image <span class="parmvalue" id="mrs_01_2124__en-us_topic_0264431534_parmvalue6401112781218"><b>Windows Server 2012 R2 Standard 64bit(40GB)</b></span>.</li><li id="mrs_01_2124__en-us_topic_0264431534_li0691143844516">For details about other configuration parameters, see <span class="uicontrol" id="mrs_01_2124__en-us_topic_0264431534_uicontrol857914162097"><b>Elastic Cloud Server &gt; User Guide &gt; Getting Started &gt; Creating and Logging In to a Windows ECS</b></span>.</li></ul>
+<div class="note" id="mrs_01_2124__en-us_topic_0264431534_note3491997691355"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2124__en-us_topic_0264431534_p4584433491355">If the security group of the ECS is different from <span class="parmname" id="mrs_01_2124__en-us_topic_0264431534_parmname1241925191456"><b>Default Security Group</b></span> of the Master node, you can modify the configuration using either of the following methods:</p>
+<ul id="mrs_01_2124__en-us_topic_0264431534_ul1841968891523"><li id="mrs_01_2124__en-us_topic_0264431534_li5370106091523">Change the security group of the ECS to the default security group of the Master node. For details, see <span class="menucascade" id="mrs_01_2124__en-us_topic_0264431534_menucascade1383517413363"><b><span class="uicontrol" id="mrs_01_2124__en-us_topic_0264431534_uicontrol58351142368">Elastic Cloud Server</span></b> &gt; <b><span class="uicontrol" id="mrs_01_2124__en-us_topic_0264431534_uicontrol1383519411361">User Guide</span></b> &gt; <b><span class="uicontrol" id="mrs_01_2124__en-us_topic_0264431534_uicontrol1483516473613">Security Group</span></b> &gt; <b><span class="uicontrol" id="mrs_01_2124__en-us_topic_0264431534_uicontrol13835204153617">Changing a Security Group</span></b></span>.</li><li id="mrs_01_2124__en-us_topic_0264431534_li3785658391937">Add two security group rules to the security groups of the Master and Core nodes to enable the ECS to access the cluster. Set <span class="parmname" id="mrs_01_2124__en-us_topic_0264431534_parmname3415709992253"><b>Protocol</b></span> to <span class="parmvalue" id="mrs_01_2124__en-us_topic_0264431534_parmvalue199262449231"><b>TCP</b></span>, <span class="parmname" id="mrs_01_2124__en-us_topic_0264431534_parmname814945395954"><b>Ports</b></span> of the two security group rules to <span class="parmvalue" id="mrs_01_2124__en-us_topic_0264431534_parmvalue1301529910045"><b>28443</b></span> and <span class="parmvalue" id="mrs_01_2124__en-us_topic_0264431534_parmvalue860220810049"><b>20009</b></span>, respectively. For details, see <span class="uicontrol" id="mrs_01_2124__en-us_topic_0264431534_uicontrol11430149425"><b>Virtual Private Cloud &gt; User Guide &gt; Security &gt; Security Group &gt; Adding a Security Group Rule</b></span>.</li></ul>
+</div></div>
+</p></li><li id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0046344332_li10238386132443"><span>On the VPC management console, apply for an EIP and bind it to the ECS.</span><p><p id="mrs_01_2124__en-us_topic_0264431534_p5440373392735">For details, see <span class="menucascade" id="mrs_01_2124__en-us_topic_0264431534_menucascade17469538134215"><b><span class="uicontrol" id="mrs_01_2124__en-us_topic_0264431534_uicontrol18469123819420">Virtual Private Cloud</span></b> &gt; <b><span class="uicontrol" id="mrs_01_2124__en-us_topic_0264431534_uicontrol10470133864212">User Guide</span></b> &gt; <b><span class="uicontrol" id="mrs_01_2124__en-us_topic_0264431534_uicontrol13470138184213">Elastic IP</span></b> &gt; <b><span class="uicontrol" id="mrs_01_2124__en-us_topic_0264431534_uicontrol1947011385423">Assigning an EIP and Binding It to an ECS</span></b></span>.</p>
+</p></li><li id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0046344332_li29290810349"><span>Log in to the ECS.</span><p><p id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0046344332_p55248243104825">The Windows system account, password, EIP, and the security group rules are required for logging in to the ECS. For details, see <span class="uicontrol" id="mrs_01_2124__en-us_topic_0264431534_uicontrol06861758697"><b>Elastic Cloud Server &gt; User Guide &gt; Instances &gt; Logging In to a Windows ECS</b></span>.</p>
+</p></li><li id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0046344332_li66227810104856"><span>On the Windows remote desktop, use your browser to access Manager.</span><p><p id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0046344332_p6008427133020">For example, you can use Internet Explorer 11 in the Windows 2012 OS.</p>
+<p id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0046344332_p25377929105010">The address for accessing Manager is the address of the <strong id="mrs_01_2124__en-us_topic_0264431534_b1245206103815">MRS Manager</strong> page. Enter the name and password of the cluster user, for example, user <span class="parmname" id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0046344332_parmname30258473133054"><b>admin</b></span>.</p>
+<p id="mrs_01_2124__p153375434408"><span><img id="mrs_01_2124__image112293582223" src="en-us_image_0000001438733129.png"></span></p>
+<div class="note" id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0046344332_note60666247133447"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0046344332_ul59421563131523"><li id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0046344332_li30614848131523">If you access Manager with other cluster usernames, change the password upon your first access. The new password must meet the requirements of the current password complexity policies. For details, contact the <span id="mrs_01_2124__ph36409378819">system </span>administrator.</li><li id="mrs_01_2124__en-us_topic_0264431534_en-us_topic_0046344332_li40772638131537">By default, a user is locked after inputting an incorrect password five consecutive times. The user is automatically unlocked after 5 minutes.</li></ul>
+</div></div>
+</p></li><li id="mrs_01_2124__en-us_topic_0264431534_li50039481113739"><span>Log out of FusionInsight Manager. To log out of Manager, move the cursor to <span><img id="mrs_01_2124__image8959181662411" src="en-us_image_0000001438453365.png"></span> in the upper right corner and click <span class="uicontrol" id="mrs_01_2124__en-us_topic_0264431534_uicontrol1896090791611"><b>Log Out</b></span>.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2123.html">Accessing Manager</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2125.html b/docs/mrs/component-operation-guide/mrs_01_2125.html
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+<a name="mrs_01_2125"></a><a name="mrs_01_2125"></a>
+
+<h1 class="topictitle1">Modifying Cluster Service Configuration Parameters</h1>
+<div id="body1595818033516"><ul id="mrs_01_2125__ul78741946191319"><li id="mrs_01_2125__li148741346181312">For MRS 1.9.2 or later: You can modify service configuration parameters on the cluster management page of the MRS management console.<ol id="mrs_01_2125__ol19250747148"><li id="mrs_01_2125__li361522111198">Log in to the MRS console. In the left navigation pane, choose <strong id="mrs_01_2125__b16064223791512">Clusters</strong> &gt; <strong id="mrs_01_2125__b195320767091512">Active Clusters</strong>, and click a cluster name.</li><li id="mrs_01_2125__li459950142012">Choose <strong id="mrs_01_2125__b153011581260">Components</strong> &gt; <em id="mrs_01_2125__i771018272616">Name of the desired service</em> &gt; <strong id="mrs_01_2125__b133031985620">Service Configuration</strong>.<p id="mrs_01_2125__p1731016263208">The <strong id="mrs_01_2125__b43457424691512">Basic Configuration</strong> tab page is displayed by default. To modify more parameters, click the <strong id="mrs_01_2125__b51268616691512">All Configurations</strong> tab. The navigation tree displays all configuration parameters of the service. The level-1 nodes in the navigation tree are service names or role names. The parameter category is displayed after the level-1 node is expanded. </p>
+</li><li id="mrs_01_2125__li815692042119">In the navigation tree, select the specified parameter category and change the parameter values on the right.<p id="mrs_01_2125__p1156152015219"><a name="mrs_01_2125__li815692042119"></a><a name="li815692042119"></a>If you are not sure about the location of a parameter, you can enter the parameter name in search box in the upper right corner. The system searches for the parameter in real time and displays the result. </p>
+</li><li id="mrs_01_2125__li1389619415217">Click <strong id="mrs_01_2125__b20478148364">Save Configuration</strong>. In the displayed dialog box, click <strong id="mrs_01_2125__b15483194817616">OK</strong>.</li><li id="mrs_01_2125__li589694111211"><p id="mrs_01_2125__p193458949891512"><a name="mrs_01_2125__li589694111211"></a><a name="li589694111211"></a>Wait until the message <strong id="mrs_01_2125__b130498359391512">Operation successful</strong> is displayed. Click <strong id="mrs_01_2125__b163494589591512">Finish</strong>.</p>
+<p id="mrs_01_2125__p45358371691512">The configuration is modified.</p>
+<p id="mrs_01_2125__p178961941122113">Check whether there is any service whose configuration has expired in the cluster. If yes, restart the corresponding service or role instance for the configuration to take effect. You can also select <strong id="mrs_01_2125__b09886185713">Restart the affected services or instances</strong> when saving the configuration. .</p>
+</li></ol>
+</li><li id="mrs_01_2125__li10795115818355">For MRS 3.<em id="mrs_01_2125__i9850135718311">x</em> or earlier: You can log in to MRS Manager to modify service configuration parameters.<ol id="mrs_01_2125__ol19534134118355"><li id="mrs_01_2125__li165347413351">Log in to MRS Manager.</li><li id="mrs_01_2125__li12534144133515">Click <strong id="mrs_01_2125__b124711119133218">Services</strong>.</li><li id="mrs_01_2125__li65341841103516">Click the specified service name on the service management page.</li><li id="mrs_01_2125__li1753454113353">Click <strong id="mrs_01_2125__b191623853118">Service Configuration</strong>.<p id="mrs_01_2125__p155350418356">The <strong id="mrs_01_2125__b166923235191512">Basic Configuration</strong> tab page is displayed by default. To modify more parameters, click the <strong id="mrs_01_2125__b83778128791512">All Configurations</strong> tab. The navigation tree displays all configuration parameters of the service. The level-1 nodes in the navigation tree are service names or role names. The parameter category is displayed after the level-1 node is expanded. </p>
+</li><li id="mrs_01_2125__li1053544183510">In the navigation tree, select the specified parameter category and change the parameter values on the right.<p id="mrs_01_2125__p1053594163520"><a name="mrs_01_2125__li1053544183510"></a><a name="li1053544183510"></a>If you are not sure about the location of a parameter, you can enter the parameter name in search box in the upper right corner. The system searches for the parameter in real time and displays the result. </p>
+</li><li id="mrs_01_2125__li1153564119356">Click <strong id="mrs_01_2125__b149057053291512">Save</strong>. In the confirmation dialog box, click <strong id="mrs_01_2125__b16536076291512">OK</strong>.</li><li id="mrs_01_2125__li11535164118351"><p id="mrs_01_2125__p73696071991512"><a name="mrs_01_2125__li11535164118351"></a><a name="li11535164118351"></a>Wait until the message <strong id="mrs_01_2125__b50953069391512">Operation successful</strong> is displayed. Click <strong id="mrs_01_2125__b133231384591512">Finish</strong>.</p>
+<p id="mrs_01_2125__p83912333191512">The configuration is modified.</p>
+<p id="mrs_01_2125__p13535154123519">Check whether there is any service whose configuration has expired in the cluster. If yes, restart the corresponding service or role instance for the configuration to take effect. You can also select <strong id="mrs_01_2125__b123151810313">Restart the affected services or instances</strong> when saving the configuration.</p>
+</li></ol>
+</li><li id="mrs_01_2125__li14164175361312">For MRS 3.<em id="mrs_01_2125__i6630126670">x</em> or later: You can log in to FusionInsight Manager to modify service configuration parameters.<ol id="mrs_01_2125__ol20431137181612"><li id="mrs_01_2125__li18431203721611">You have logged in to FusionInsight Manager.</li><li id="mrs_01_2125__li9431437181617">Choose <strong id="mrs_01_2125__b18533604691512">Cluster</strong> &gt; <strong id="mrs_01_2125__b137715408491512">Service</strong>.</li><li id="mrs_01_2125__li443116372166">Click the specified service name on the service management page.</li><li id="mrs_01_2125__li74311637141619">Click <strong id="mrs_01_2125__b165925856791512">Configuration</strong>.<p id="mrs_01_2125__en-us_topic_0263899535_p972419327225">The <strong id="mrs_01_2125__b1356741553">Basic Configuration</strong> tab page is displayed by default. To modify more parameters, click the <strong id="mrs_01_2125__b980298760">All Configurations</strong> tab. The navigation tree displays all configuration parameters of the service. The level-1 nodes in the navigation tree are service names or role names. The parameter category is displayed after the level-1 node is expanded. </p>
+</li><li id="mrs_01_2125__li543153711165">In the navigation tree, select the specified parameter category and change the parameter values on the right.<p id="mrs_01_2125__en-us_topic_0263899535_p78361459884"><a name="mrs_01_2125__li543153711165"></a><a name="li543153711165"></a>If you are not sure about the location of a parameter, you can enter the parameter name in search box in the upper right corner. The system searches for the parameter in real time and displays the result. </p>
+</li><li id="mrs_01_2125__li2043123715167">Click <strong id="mrs_01_2125__b267668748">Save</strong>. In the confirmation dialog box, click <strong id="mrs_01_2125__b1860509303">OK</strong>.</li><li id="mrs_01_2125__li2431637201615"><p id="mrs_01_2125__p1182201420"><a name="mrs_01_2125__li2431637201615"></a><a name="li2431637201615"></a>Wait until the message <strong id="mrs_01_2125__b395919240">Operation successful</strong> is displayed. Click <strong id="mrs_01_2125__b1981400822">Finish</strong>.</p>
+<p id="mrs_01_2125__p1937729434">The configuration is modified.</p>
+<p id="mrs_01_2125__p09991624141814">Check whether there is any service whose configuration has expired in the cluster. If yes, restart the corresponding service or role instance for the configuration to take effect.</p>
+</li></ol>
+</li></ul>
+<p id="mrs_01_2125__p13746548115710"></p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2122.html">Appendix</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2126.html b/docs/mrs/component-operation-guide/mrs_01_2126.html
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+<a name="mrs_01_2126"></a><a name="mrs_01_2126"></a>
+
+<h1 class="topictitle1">Using an MRS Client</h1>
+<div id="body8662426"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_2127.html">Installing a Client (Version 3.x or Later)</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2128.html">Installing a Client (Versions Earlier Than 3.x)</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2129.html">Updating a Client (Version 3.x or Later)</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2130.html">Updating a Client (Versions Earlier Than 3.x)</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2122.html">Appendix</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2127.html b/docs/mrs/component-operation-guide/mrs_01_2127.html
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@@ -0,0 +1,123 @@
+<a name="mrs_01_2127"></a><a name="mrs_01_2127"></a>
+
+<h1 class="topictitle1">Installing a Client (Version 3.x or Later)</h1>
+<div id="en-us_topic_0264269828_body1470792934600"><div class="section" id="mrs_01_2127__en-us_topic_0264269828_section65278330165558"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_2127__en-us_topic_0264269828_p19463153311292">This section describes how to install clients of all services (excluding Flume) in an MRS cluster. For details about how to install the Flume client, see <span id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0264266686_ph63412418173"><a href="https://docs.otc.t-systems.com/cmpntguide/mrs/mrs_01_0392.html" target="_blank" rel="noopener noreferrer">Installing the Flume Client</a><span id="mrs_01_2127__en-us_topic_0264269828_ph63412418173"></span></span>.</p>
+<p id="mrs_01_2127__en-us_topic_0264269828_p1779533753119">A client can be installed on a node inside or outside the cluster. This section uses the installation directory <strong id="mrs_01_2127__en-us_topic_0264269828_b321843695712">//opt/client</strong> as an example. Replace it with the actual one.</p>
+</div>
+<div class="section" id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_section3219221104310"><a name="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_section3219221104310"></a><a name="en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_section3219221104310"></a><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_ul26645308104434"><li id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_li37425717104434">A Linux ECS has been prepared. For details about the supported OS of the ECS, see <a href="#mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_table40818788104630">Table 1</a>.
+<div class="tablenoborder"><a name="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_table40818788104630"></a><a name="en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_table40818788104630"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_table40818788104630" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Reference list</caption><thead align="left"><tr id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_row38578049104630"><th align="left" class="cellrowborder" valign="top" width="15%" id="mcps1.3.2.2.1.2.2.4.1.1"><p id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_p147543306359">CPU Architecture</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.2.2.1.2.2.4.1.2"><p id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_p37814246104630">OS</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="60%" id="mcps1.3.2.2.1.2.2.4.1.3"><p id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_p43055100104630">Supported Version</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_row3952911204620"><td class="cellrowborder" rowspan="4" valign="top" width="15%" headers="mcps1.3.2.2.1.2.2.4.1.1 "><p id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_p067995812372">x86 computing</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.2.1.2.2.4.1.2 "><p id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_p1341716202466">Euler</p>
+</td>
+<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.2.2.1.2.2.4.1.3 "><p id="mrs_01_2127__en-us_topic_0264269828_p782123814365">EulerOS 2.5</p>
+</td>
+</tr>
+<tr id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_row64911082104630"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.1.2.2.4.1.1 "><p id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_p23306329104630">SUSE</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.1.2.2.4.1.2 "><p id="mrs_01_2127__en-us_topic_0264269828_p16974173323612">SUSE Linux Enterprise Server 12 SP4 (SUSE 12.4)</p>
+</td>
+</tr>
+<tr id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_row60240262104630"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.1.2.2.4.1.1 "><p id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_p47623054104630">RedHat</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.1.2.2.4.1.2 "><p id="mrs_01_2127__en-us_topic_0264269828_p970920248360">Red Hat-7.5-x86_64 (Red Hat 7.5)</p>
+</td>
+</tr>
+<tr id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_row30103971104630"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.1.2.2.4.1.1 "><p id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_p22502558104630">CentOS</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.1.2.2.4.1.2 "><p id="mrs_01_2127__en-us_topic_0264269828_p12811549123617">CentOS 7.6</p>
+</td>
+</tr>
+<tr id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_row176952056184517"><td class="cellrowborder" rowspan="2" valign="top" width="15%" headers="mcps1.3.2.2.1.2.2.4.1.1 "><p id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_p15246194518374">Kunpeng computing (Arm)</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.2.1.2.2.4.1.2 "><p id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_p126771821194219">Euler</p>
+</td>
+<td class="cellrowborder" valign="top" width="60%" headers="mcps1.3.2.2.1.2.2.4.1.3 "><p id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_p1329205172516">EulerOS 2.8</p>
+</td>
+</tr>
+<tr id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_row7244555103511"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.1.2.2.4.1.1 "><p id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_p11246555203516">CentOS</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.1.2.2.4.1.2 "><p id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_p776320021018">CentOS 7.6</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_p1282531142624">In addition, sufficient disk space is allocated for the ECS, for example, 40 GB.</p>
+</li><li id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_li7335267104528">The ECS and the MRS cluster are in the same VPC.</li><li id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_li17980589104436">The security group of the ECS must be the same as that of the master node in the MRS cluster.</li><li id="mrs_01_2127__en-us_topic_0264269828_li9399184211230">The NTP service has been installed on the ECS OS and is running properly.<p id="mrs_01_2127__en-us_topic_0264269828_p163361134122717"><a name="mrs_01_2127__en-us_topic_0264269828_li9399184211230"></a><a name="en-us_topic_0264269828_li9399184211230"></a>If the NTP service is not installed, run the <strong id="mrs_01_2127__en-us_topic_0264269828_b6895923359740">yum install ntp -y</strong> command to install it when the <strong id="mrs_01_2127__en-us_topic_0264269828_b2341459199740">yum</strong> source is configured.</p>
+</li><li id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_li55858868171944">A user can log in to the Linux ECS using the password (in SSH mode).</li></ul>
+</div>
+<div class="section" id="mrs_01_2127__en-us_topic_0264269828_section181806577218"><a name="mrs_01_2127__en-us_topic_0264269828_section181806577218"></a><a name="en-us_topic_0264269828_section181806577218"></a><h4 class="sectiontitle">Installing a Client on a Node Inside a Cluster</h4><ol id="mrs_01_2127__en-us_topic_0264269828_ol9422104205920"><li id="mrs_01_2127__en-us_topic_0264269828_li164221442145916">Obtain the software package.<p id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_p15640135222617"><a name="mrs_01_2127__en-us_topic_0264269828_li164221442145916"></a><a name="en-us_topic_0264269828_li164221442145916"></a>Log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. Click the name of the cluster to be operated in the <strong id="mrs_01_2127__en-us_topic_0264269828_b3328491043">Cluster</strong> drop-down list.</p>
+<div class="p" id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_p59080250115641">Choose <strong id="mrs_01_2127__en-us_topic_0264269828_b1280616428515">More &gt; Download Client</strong>. The <strong id="mrs_01_2127__en-us_topic_0264269828_b1380684220511">Download Cluster Client</strong> dialog box is displayed.<div class="note" id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_en-us_topic_0046662333_note57940224"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p class="text" id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_en-us_topic_0046662333_p51699968">In the scenario where only one client is to be installed, choose <strong id="mrs_01_2127__en-us_topic_0264269828_b634011211618">Cluster &gt; </strong><strong id="mrs_01_2127__en-us_topic_0264269828_b3340102117619">Service &gt; </strong><em id="mrs_01_2127__en-us_topic_0264269828_i134022114614">Service name</em><strong id="mrs_01_2127__en-us_topic_0264269828_b1334119211265"> &gt; More &gt; Download Client</strong>. The <strong id="mrs_01_2127__en-us_topic_0264269828_b1834132117619">Download Client</strong> dialog box is displayed.</p>
+</div></div>
+</div>
+</li><li id="mrs_01_2127__en-us_topic_0264269828_li1142264215916">Set the client type to <strong id="mrs_01_2127__en-us_topic_0264269828_b46212094101">Complete Client</strong>.<p id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_en-us_topic_0046662333_p41204595"><strong id="mrs_01_2127__en-us_topic_0264269828_b10794371996">Configuration Files Only</strong> is to download client configuration files in the following scenario: After a complete client is downloaded and installed and administrators modify server configurations on Manager, developers need to update the configuration files during application development.</p>
+<p id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_p197866515218">The platform type can be set to <strong id="mrs_01_2127__en-us_topic_0264269828_b206626282495417">x86_64</strong> or <strong id="mrs_01_2127__en-us_topic_0264269828_b95993692895417">aarch64</strong>.</p>
+<ul id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_ul1215614381573"><li id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_li1515614383571"><strong id="mrs_01_2127__en-us_topic_0264269828_b16187619131013">x86_64</strong>: indicates the client software package that can be deployed on the x86 servers.</li><li id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_li4130628103215"><strong id="mrs_01_2127__en-us_topic_0264269828_b15342767789740">aarch64</strong>: indicates the client software package that can be deployed on the TaiShan servers.</li></ul>
+<div class="note" id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_note147636585111"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2127__en-us_topic_0264269828_p194192170270">The cluster supports two types of clients: <strong id="mrs_01_2127__en-us_topic_0264269828_b81921218102914">x86_64</strong> and <strong id="mrs_01_2127__en-us_topic_0264269828_b17192181862918">aarch64</strong>. The client type must match the architecture of the node for installing the client. Otherwise, client installation will fail.</p>
+</div></div>
+</li><li id="mrs_01_2127__en-us_topic_0264269828_li19735161410169">Select <strong id="mrs_01_2127__en-us_topic_0264269828_b801632122316">Save to Path</strong> and click <strong id="mrs_01_2127__en-us_topic_0264269828_b711632152319">OK</strong> to generate the client file.<p id="mrs_01_2127__en-us_topic_0264269828_p94475341617">The generated file is stored in the <strong id="mrs_01_2127__en-us_topic_0264269828_b1380713917236">/tmp/FusionInsight-Client</strong> directory on the active management node by default. You can also store the client file in a directory on which user <strong id="mrs_01_2127__en-us_topic_0264269828_b8307154112314">omm</strong> has the read, write, and execute permissions. Copy the software package to the file directory on the server where the client is to be installed as user <strong id="mrs_01_2127__en-us_topic_0264269828_b1551894332312">omm</strong> or <strong id="mrs_01_2127__en-us_topic_0264269828_b351854392318">root</strong>.</p>
+<p id="mrs_01_2127__en-us_topic_0264269828_p12462105132411">The name of the client software package is in the follow format: <strong id="mrs_01_2127__en-us_topic_0264269828_b9310164672314">FusionInsight_Cluster_</strong><strong id="mrs_01_2127__en-us_topic_0264269828_b4311184692313"><em id="mrs_01_2127__en-us_topic_0264269828_i1231174617239">&lt;</em></strong><em id="mrs_01_2127__en-us_topic_0264269828_i9311194672310">Cluster ID</em><strong id="mrs_01_2127__en-us_topic_0264269828_b15311194642315"><em id="mrs_01_2127__en-us_topic_0264269828_i103112046152315">&gt;</em></strong><strong id="mrs_01_2127__en-us_topic_0264269828_b14311146172310">_Services_Client.tar</strong>. In this section, the cluster ID <strong id="mrs_01_2127__en-us_topic_0264269828_b0713350799">1</strong> is used as an example. Replace it with the actual cluster ID.</p>
+<div class="p" id="mrs_01_2127__en-us_topic_0264269828_p1546245114246">The following steps and sections use <strong id="mrs_01_2127__en-us_topic_0264269828_b42531848112314">FusionInsight_Cluster_1_Services_Client.tar</strong> as an example.<div class="note" id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_note539514519197"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_p109641130131916">If you cannot obtain the permissions of user <strong id="mrs_01_2127__en-us_topic_0264269828_b214029220795417">root</strong>, use user <strong id="mrs_01_2127__en-us_topic_0264269828_b132821684595417">omm</strong>.</p>
+<p id="mrs_01_2127__en-us_topic_0264269828_p393817131820">To install the client on another node in the cluster, run the following command to copy the client to the node where the client is to be installed:</p>
+<p id="mrs_01_2127__en-us_topic_0264269828_p122119327172"><strong id="mrs_01_2127__en-us_topic_0264269828_b758811196231">scp -p /</strong><em id="mrs_01_2127__en-us_topic_0264269828_i194552310230">tmp/FusionInsight-Client</em><strong id="mrs_01_2127__en-us_topic_0264269828_b1071462742319">/</strong><strong id="mrs_01_2127__en-us_topic_0264269828_b522163212172">FusionInsight_Cluster_1_Services_Client.tar</strong> <em id="mrs_01_2127__en-us_topic_0264269828_i1222116324172">IP address of the node where the client is to be installed</em><em id="mrs_01_2127__en-us_topic_0264269828_i1233533442218">:</em><em id="mrs_01_2127__en-us_topic_0264269828_i182182519222">/opt/Bigdata/client</em></p>
+</div></div>
+</div>
+</li><li id="mrs_01_2127__en-us_topic_0264269828_li1742384219595">Log in to the server where the client software package is located as user <strong id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_b47429645115832">user_client</strong>.</li><li id="mrs_01_2127__en-us_topic_0264269828_li134231342165916">Decompress the software package.<p id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_p64472750115839"><a name="mrs_01_2127__en-us_topic_0264269828_li134231342165916"></a><a name="en-us_topic_0264269828_li134231342165916"></a>Go to the directory where the installation package is stored, such as <strong id="mrs_01_2127__en-us_topic_0264269828_b93645625595417">/tmp/FusionInsight-Client</strong>. Run the following command to decompress the installation package to a local directory:</p>
+<p id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_en-us_topic_0046662333_p41540743"><strong id="mrs_01_2127__b167745618121">tar -xvf</strong> <strong id="mrs_01_2127__en-us_topic_0193213980_b13193145991418">FusionInsight_Cluster_1_Services_Client.tar</strong></p>
+</li><li id="mrs_01_2127__en-us_topic_0264269828_li1442314423596">Verify the software package.<p id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_p4558596411591"><a name="mrs_01_2127__en-us_topic_0264269828_li1442314423596"></a><a name="en-us_topic_0264269828_li1442314423596"></a>Run the following command to verify the decompressed file and check whether the command output is consistent with the information in the <strong id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_b4389556111595">sha256</strong> file.</p>
+<p id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_en-us_topic_0046662333_p17103984"><strong id="mrs_01_2127__b1412211341317">sha256sum -c</strong> <strong id="mrs_01_2127__en-us_topic_0193213980_b7722175017173">FusionInsight_Cluster_1_Services_ClientConfig.tar</strong><strong id="mrs_01_2127__en-us_topic_0193213980_b157602204191">.sha256</strong></p>
+<pre class="screen" id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_s34b562fd0e714bc4aa8aba57b503ea70">FusionInsight_Cluster_1_Services_ClientConfig.tar: OK</pre>
+</li><li id="mrs_01_2127__en-us_topic_0264269828_li742344275917">Decompress the obtained installation file.<p id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_en-us_topic_0046662333_p13221196"><a name="mrs_01_2127__en-us_topic_0264269828_li742344275917"></a><a name="en-us_topic_0264269828_li742344275917"></a><strong id="mrs_01_2127__b265911156138">tar -xvf</strong> <strong id="mrs_01_2127__en-us_topic_0193213980_b18293612014">FusionInsight_Cluster_1_Services_ClientConfig.tar</strong></p>
+</li><li id="mrs_01_2127__en-us_topic_0264269828_li44234426592">Go to the directory where the installation package is stored, and run the following command to install the client to a specified directory (an absolute path), for example, <strong id="mrs_01_2127__en-us_topic_0264269828_b842352706185935">/opt/client</strong>:<p id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_en-us_topic_0046662333_p41684868"><strong id="mrs_01_2127__en-us_topic_0193213980_b60975609115955">cd /tmp/FusionInsight-Client/FusionInsight</strong><strong id="mrs_01_2127__en-us_topic_0193213980_b11909569115955">_Cluster_1_Services_ClientConfig</strong></p>
+<p id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_en-us_topic_0046662333_p20114008">Run the <strong id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_en-us_topic_0046662333_b46808346">./install.sh /opt/client</strong> command to install the client. The client is successfully installed if information similar to the following is displayed:</p>
+<pre class="screen" id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_sa1ec942b8a634a789cb524d480c9b987">The component client is installed successfully</pre>
+<div class="note" id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_note17447181519244"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_ul17447615152417"><li id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_li1544771552416">If the clients of all or some services use the <strong id="mrs_01_2127__en-us_topic_0264269828_b173227800185652">/opt/client</strong> directory, other directories must be used when you install other service clients.</li><li id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_li164471115192413">You must delete the client installation directory when uninstalling a client.</li><li id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_li244718150244">To ensure that an installed client can only be used by the installation user (for example, <strong id="mrs_01_2127__en-us_topic_0264269828_b178647297495417">user_client</strong>), add parameter <strong id="mrs_01_2127__en-us_topic_0264269828_b96008449095417">-o</strong> during the installation. That is, run the <strong id="mrs_01_2127__en-us_topic_0264269828_b121051227995417">./install.sh /opt/client -o</strong> command to install the client.</li><li id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0193213980_li1618594563813">If an HBase client is installed, it is recommended that the client installation directory contain only uppercase and lowercase letters, digits, and characters (_-?.@+=) due to the limitation of the Ruby syntax used by HBase.</li></ul>
+</div></div>
+</li></ol>
+</div>
+<div class="section" id="mrs_01_2127__en-us_topic_0264269828_section8796733802"><h4 class="sectiontitle">Using a Client</h4><ol id="mrs_01_2127__en-us_topic_0264269828_ol406463517727"><li id="mrs_01_2127__en-us_topic_0264269828_li5310293617727">On the node where the client is installed, run the <strong id="mrs_01_2127__en-us_topic_0264269828_b16110326105413">sudo su - omm</strong> command to switch the user. Run the following command to go to the client directory:<p id="mrs_01_2127__en-us_topic_0264269828_p1458176517659"><strong id="mrs_01_2127__b1518921775">cd /opt/client</strong></p>
+</li><li id="mrs_01_2127__en-us_topic_0264269828_li6464792217731">Run the following command to configure environment variables:<p id="mrs_01_2127__en-us_topic_0264269828_p4329329317720"><a name="mrs_01_2127__en-us_topic_0264269828_li6464792217731"></a><a name="en-us_topic_0264269828_li6464792217731"></a><strong id="mrs_01_2127__b4463590517724">source bigdata_env</strong></p>
+</li><li id="mrs_01_2127__en-us_topic_0264269828_li59218459111521">If Kerberos authentication is enabled for the current cluster, run the following command to authenticate the user. If Kerberos authentication is disabled for the current cluster, skip this step.<p id="mrs_01_2127__en-us_topic_0264269828_p3903911193255"><a name="mrs_01_2127__en-us_topic_0264269828_li59218459111521"></a><a name="en-us_topic_0264269828_li59218459111521"></a><strong id="mrs_01_2127__en-us_topic_0264269828_b63065667193458">kinit</strong> <em id="mrs_01_2127__en-us_topic_0264269828_i6148471145146">MRS cluster user</em></p>
+<p id="mrs_01_2127__en-us_topic_0264269828_p23308555145027">Example: <strong id="mrs_01_2127__en-us_topic_0264269828_a1b6c451d34ad45e497b6464bad4e711f">kinit admin</strong></p>
+<div class="note" id="mrs_01_2127__en-us_topic_0264269828_note9287432201644"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2127__en-us_topic_0264269828_p63123885201646">User <span class="parmname" id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0043021163_parmname439877633113147"><b>admin</b></span> is created by default for MRS clusters with Kerberos authentication enabled and is used for administrators to maintain the clusters.</p>
+</div></div>
+</li><li id="mrs_01_2127__en-us_topic_0264269828_li6700401317745">Run the client command of a component directly.<p id="mrs_01_2127__en-us_topic_0264269828_p71420617745"><a name="mrs_01_2127__en-us_topic_0264269828_li6700401317745"></a><a name="en-us_topic_0264269828_li6700401317745"></a>For example, run the <strong id="mrs_01_2127__en-us_topic_0264269828_b3844345102915">hdfs dfs -ls /</strong> command to view files in the HDFS root directory.</p>
+</li></ol>
+</div>
+<div class="section" id="mrs_01_2127__en-us_topic_0264269828_section49281012266"><h4 class="sectiontitle">Installing a Client on a Node Outside a Cluster</h4><ol id="mrs_01_2127__en-us_topic_0264269828_ol1736616559415"><li id="mrs_01_2127__en-us_topic_0264269828_li18366755642">Create an ECS that meets the requirements in <a href="#mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_section3219221104310">Prerequisites</a>.</li><li id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_li4775145513575">Perform NTP time synchronization to synchronize the time of nodes outside the cluster with that of the MRS cluster.<ol type="a" id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_ol193951422145810"><li id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_li46251218311">Run the <strong id="mrs_01_2127__en-us_topic_0264269828_b6771536259740">vi /etc/ntp.conf</strong> command to edit the NTP client configuration file, add the IP addresses of the master node in the MRS cluster, and comment out the IP address of other servers.<pre class="screen" id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_screen115991769270">server <em id="mrs_01_2127__en-us_topic_0270713152_en-us_topic_0264269418_i1246044402714">master1_ip</em> prefer
+server <em id="mrs_01_2127__en-us_topic_0270713152_en-us_topic_0264269418_i194410516271">master2_ip</em> </pre>
+<div class="fignone" id="mrs_01_2127__fig86383401545"><span class="figcap"><b>Figure 1 </b>Adding the master node IP addresses</span><br><span><img id="mrs_01_2127__image1377121095319" src="en-us_image_0000001438729629.png"></span></div>
+</li><li id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_li03711129101013">Run the <strong id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_b18102121581211">service ntpd stop</strong> command to stop the NTP service.</li><li id="mrs_01_2127__en-us_topic_0264269828_li52801730202416">Run the following command to manually synchronize the time:<p id="mrs_01_2127__en-us_topic_0264269828_p1349612315246"><a name="mrs_01_2127__en-us_topic_0264269828_li52801730202416"></a><a name="en-us_topic_0264269828_li52801730202416"></a><strong id="mrs_01_2127__b5991367279">/usr/sbin/ntpdate </strong><em id="mrs_01_2127__i16679123612279">192.168.10.8</em></p>
+<div class="note" id="mrs_01_2127__en-us_topic_0264269828_note733331515278"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2127__en-us_topic_0264269828_p1333131512276"><strong id="mrs_01_2127__en-us_topic_0264269828_b558716117404">192.168.10.8</strong> indicates the IP address of the active Master node.</p>
+</div></div>
+</li><li id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_li1626616223117">Run the <strong id="mrs_01_2127__en-us_topic_0264269828_b2386656549740">service ntpd start</strong> or <strong id="mrs_01_2127__en-us_topic_0264269828_b13058506999740">systemctl restart ntpd</strong> command to start the NTP service.</li><li id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_li103951822155811">Run the <strong id="mrs_01_2127__en-us_topic_0264269828_en-us_topic_0270713152_en-us_topic_0264269418_b157561859131116">ntpstat</strong> command to check the time synchronization result.</li></ol>
+</li><li id="mrs_01_2127__en-us_topic_0264269828_li1632110101168">Perform the following steps to download the cluster client software package from FusionInsight Manager, copy the package to the ECS node, and install the client:<ol type="a" id="mrs_01_2127__en-us_topic_0264269828_ol1744153134310"><li id="mrs_01_2127__en-us_topic_0264269828_li2047215196234">Log in to FusionInsight Manager and download the cluster client to the specified directory on the active management node by referring to <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a> and <a href="#mrs_01_2127__en-us_topic_0264269828_section181806577218">Installing a Client on a Node Inside a Cluster</a>.</li><li id="mrs_01_2127__en-us_topic_0264269828_li04726194231">Log in to the active management node as user <strong id="mrs_01_2127__en-us_topic_0264269828_b1736225111351">root</strong> and run the following command to copy the client installation package to the target node:<p id="mrs_01_2127__en-us_topic_0264269828_p104721019182319"><strong id="mrs_01_2127__en-us_topic_0264269828_b6236101139740">scp -p /tmp/FusionInsight-Client/FusionInsight_Cluster_1_Services_Client.tar</strong><em id="mrs_01_2127__en-us_topic_0264269828_i12473569079740"> IP address of the node where the client is to be installed</em><strong id="mrs_01_2127__en-us_topic_0264269828_b19770938459740">:/tmp</strong></p>
+</li><li id="mrs_01_2127__en-us_topic_0264269828_li247391922314">Log in to the node on which the client is to be installed as the client user.<p id="mrs_01_2127__en-us_topic_0264269828_p1762065714263"><a name="mrs_01_2127__en-us_topic_0264269828_li247391922314"></a><a name="en-us_topic_0264269828_li247391922314"></a>Run the following commands to install the client. If the user does not have operation permissions on the client software package and client installation directory, grant the permissions using the <strong id="mrs_01_2127__en-us_topic_0264269828_b5250445171219">root</strong> user.</p>
+<p id="mrs_01_2127__en-us_topic_0264269828_p9473171952319"><strong id="mrs_01_2127__b34731119202310">cd /tmp</strong></p>
+<p id="mrs_01_2127__en-us_topic_0264269828_p13761454192720"><strong id="mrs_01_2127__b1445265272714">tar -xvf </strong><strong id="mrs_01_2127__b6452052122710">FusionInsight_Cluster_1_Services_Client.tar</strong></p>
+<p id="mrs_01_2127__en-us_topic_0264269828_p63409105285"><strong id="mrs_01_2127__b1719885284">tar -xvf </strong><strong id="mrs_01_2127__b1471917852811">FusionInsight_Cluster_1_Services_ClientConfig.tar</strong></p>
+<p id="mrs_01_2127__en-us_topic_0264269828_p1831131182819"><strong id="mrs_01_2127__b174410298289">cd FusionInsight</strong><strong id="mrs_01_2127__b244729172810">_Cluster_1_Services_ClientConfig</strong></p>
+<p id="mrs_01_2127__en-us_topic_0264269828_p172671740142820"><strong id="mrs_01_2127__b199816395286">./install.sh /opt/client</strong></p>
+</li><li id="mrs_01_2127__en-us_topic_0264269828_li10473191919234">Run the following commands to switch to the client directory and configure environment variables:<p id="mrs_01_2127__en-us_topic_0264269828_p174736199233"><a name="mrs_01_2127__en-us_topic_0264269828_li10473191919234"></a><a name="en-us_topic_0264269828_li10473191919234"></a><strong id="mrs_01_2127__b1747361952311">cd /opt/client</strong></p>
+<p id="mrs_01_2127__en-us_topic_0264269828_p1547391911235"><strong id="mrs_01_2127__b10473111902312">source bigdata_env</strong></p>
+</li><li id="mrs_01_2127__en-us_topic_0264269828_li547351914231">If Kerberos authentication is enabled for the current cluster, run the following command to authenticate the user. If Kerberos authentication is disabled for the current cluster, skip this step.<p id="mrs_01_2127__en-us_topic_0264269828_p147318190238"><a name="mrs_01_2127__en-us_topic_0264269828_li547351914231"></a><a name="en-us_topic_0264269828_li547351914231"></a><strong id="mrs_01_2127__en-us_topic_0264269828_b14311128977">kinit</strong> <em id="mrs_01_2127__en-us_topic_0264269828_i1231182818710">MRS cluster user</em></p>
+<p id="mrs_01_2127__en-us_topic_0264269828_p847391917238">Example: <strong id="mrs_01_2127__b1437200555">kinit admin</strong></p>
+</li><li id="mrs_01_2127__en-us_topic_0264269828_li247381916232">Run the client command of a component directly.<p id="mrs_01_2127__en-us_topic_0264269828_p1247431910238"><a name="mrs_01_2127__en-us_topic_0264269828_li247381916232"></a><a name="en-us_topic_0264269828_li247381916232"></a>For example, run the <strong id="mrs_01_2127__en-us_topic_0264269828_b1947411922316">hdfs dfs -ls /</strong> command to view files in the HDFS root directory.</p>
+</li></ol>
+</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2126.html">Using an MRS Client</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2128.html b/docs/mrs/component-operation-guide/mrs_01_2128.html
new file mode 100644
index 000000000..1d192358a
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2128.html
@@ -0,0 +1,96 @@
+<a name="mrs_01_2128"></a><a name="mrs_01_2128"></a>
+
+<h1 class="topictitle1">Installing a Client (Versions Earlier Than 3.x)</h1>
+<div id="body8662426"><div class="section" id="mrs_01_2128__en-us_topic_0264269418_section47062638171526"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_2128__en-us_topic_0264269418_p5490111805311">An MRS client is required. The MRS cluster client can be installed on the Master or Core node in the cluster or on a node outside the cluster.</p>
+<p id="mrs_01_2128__en-us_topic_0264269418_p19490118125318">After a cluster of versions earlier than MRS 3.x is created, a client is installed on the active Master node by default. You can directly use the client. The installation directory is <strong id="mrs_01_2128__en-us_topic_0264269418_b15312104115110">/opt/client</strong>.</p>
+<p id="mrs_01_2128__en-us_topic_0264269418_p460741375812">For details about how to install a client of MRS 3.x or later, see <a href="mrs_01_2127.html">Installing a Client (Version 3.x or Later)</a>.</p>
+<p id="mrs_01_2128__en-us_topic_0264269418_p34591823171548"></p>
+</div>
+<div class="note" id="mrs_01_2128__en-us_topic_0264269418_note2753387018453"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2128__en-us_topic_0264269418_p10340195017527">If a client has been installed on the node outside the MRS cluster and the client only needs to be updated, update the client using the user who installed the client, for example, user <span class="parmname" id="mrs_01_2128__en-us_topic_0264269418_parmname11924596184555"><b>root</b></span>.</p>
+</div></div>
+<div class="section" id="mrs_01_2128__en-us_topic_0264269418_section3219221104310"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_2128__en-us_topic_0264269418_ul26645308104434"><li id="mrs_01_2128__en-us_topic_0264269418_li37425717104434">An ECS has been prepared. For details about the OS and its version of the ECS, see <a href="#mrs_01_2128__en-us_topic_0264269418_table40818788104630">Table 1</a>.
+<div class="tablenoborder"><a name="mrs_01_2128__en-us_topic_0264269418_table40818788104630"></a><a name="en-us_topic_0264269418_table40818788104630"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2128__en-us_topic_0264269418_table40818788104630" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Reference list</caption><thead align="left"><tr id="mrs_01_2128__en-us_topic_0264269418_row38578049104630"><th align="left" class="cellrowborder" valign="top" width="29.411764705882355%" id="mcps1.3.3.2.1.2.2.3.1.1"><p id="mrs_01_2128__en-us_topic_0264269418_p37814246104630">OS</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="70.58823529411765%" id="mcps1.3.3.2.1.2.2.3.1.2"><p id="mrs_01_2128__en-us_topic_0264269418_p43055100104630">Supported Version</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2128__en-us_topic_0264269418_row3952911204620"><td class="cellrowborder" valign="top" width="29.411764705882355%" headers="mcps1.3.3.2.1.2.2.3.1.1 "><p id="mrs_01_2128__en-us_topic_0264269418_p1341716202466">EulerOS</p>
+</td>
+<td class="cellrowborder" valign="top" width="70.58823529411765%" headers="mcps1.3.3.2.1.2.2.3.1.2 "><ul id="mrs_01_2128__en-us_topic_0264269418_ul16570141110378"><li id="mrs_01_2128__en-us_topic_0264269418_li35709116377">Available: EulerOS 2.2</li><li id="mrs_01_2128__en-us_topic_0264269418_li1371295143814">Available: EulerOS 2.3</li><li id="mrs_01_2128__en-us_topic_0264269418_li5827574386">Available: EulerOS 2.5</li></ul>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_2128__en-us_topic_0264269418_p4230068214289">For example, a user can select the enterprise image <span class="parmname" id="mrs_01_2128__en-us_topic_0264269418_parmname6290568016043"><b>Enterprise_SLES11_SP4_latest(4GB)</b></span> or standard image <span class="parmname" id="mrs_01_2128__en-us_topic_0264269418_parmname2928021516043"><b>Standard_CentOS_7.2_latest(4GB)</b></span> to prepare the OS for an ECS.</p>
+<p id="mrs_01_2128__en-us_topic_0264269418_p1282531142624">In addition, sufficient disk space is allocated for the ECS, for example, 40 GB.</p>
+</li><li id="mrs_01_2128__en-us_topic_0264269418_li7335267104528">The ECS and the MRS cluster are in the same VPC.</li><li id="mrs_01_2128__en-us_topic_0264269418_li17980589104436">The security group of the ECS is the same as that of the Master node of the MRS cluster.<p id="mrs_01_2128__en-us_topic_0264269418_p6456117911126"><a name="mrs_01_2128__en-us_topic_0264269418_li17980589104436"></a><a name="en-us_topic_0264269418_li17980589104436"></a>If this requirement is not met, modify the ECS security group or configure the inbound and outbound rules of the ECS security group to allow the ECS security group to be accessed by all security groups of MRS cluster nodes.</p>
+</li><li id="mrs_01_2128__en-us_topic_0264269418_li55858868171944">To enable users to log in to a Linux ECS using a password (SSH), see <i><cite id="mrs_01_2128__en-us_topic_0264269418_cite2081188264"><strong id="mrs_01_2128__en-us_topic_0264269418_b1507203120617">Instances</strong> &gt; <strong id="mrs_01_2128__en-us_topic_0264269418_b1140413372062">Logging In to a Linux ECS</strong> &gt; <strong id="mrs_01_2128__en-us_topic_0264269418_b964534214616">Login Using an SSH Password</strong> in the <em id="mrs_01_2128__en-us_topic_0264269418_i9843246562">Elastic Cloud Server User Guide</em></cite></i>.</li></ul>
+</div>
+<div class="section" id="mrs_01_2128__en-us_topic_0264269418_section9804155211019"><h4 class="sectiontitle">Installing a Client on the Core Node</h4><ol id="mrs_01_2128__en-us_topic_0264269418_ol5455012317153"><li id="mrs_01_2128__en-us_topic_0264269418_li5834174282119">Log in to MRS Manager and choose <strong id="mrs_01_2128__en-us_topic_0264269418_b168412916136">Services</strong> &gt; <strong id="mrs_01_2128__en-us_topic_0264269418_b159211715141314">Download Client</strong> to download the client installation package to the active management node.<div class="note" id="mrs_01_2128__en-us_topic_0264269418_note1971123710424"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2128__en-us_topic_0264269418_p6721237164215">If only the client configuration file needs to be updated, see method 2 in <a href="mrs_01_2130.html">Updating a Client (Versions Earlier Than 3.x)</a>.</p>
+</div></div>
+</li><li id="mrs_01_2128__en-us_topic_0264269418_li6093567015358">Use the IP address to search for the active management node, and log in to the active management node using VNC.</li><li id="mrs_01_2128__en-us_topic_0264269418_li37340373135822">Log in to the active management node, and run the following command to switch the user:<p id="mrs_01_2128__en-us_topic_0264269418_p30478842135832"><a name="mrs_01_2128__en-us_topic_0264269418_li37340373135822"></a><a name="en-us_topic_0264269418_li37340373135822"></a><strong id="mrs_01_2128__en-us_topic_0264269418_b45672692134539">sudo su - omm</strong></p>
+</li><li id="mrs_01_2128__en-us_topic_0264269418_li58997717153813">On the MRS management console, view the IP address on the <span class="parmname" id="mrs_01_2128__en-us_topic_0264269418_parmname148405098495450"><b>Nodes</b></span> tab page of the specified cluster.<p id="mrs_01_2128__en-us_topic_0264269418_p39948878153857">Record the IP address of the Core node where the client is to be used.</p>
+</li><li id="mrs_01_2128__en-us_topic_0264269418_li3307453017244">On the active management node, run the following command to copy the client installation package to the Core node:<p id="mrs_01_2128__en-us_topic_0264269418_p373044961739"><a name="mrs_01_2128__en-us_topic_0264269418_li3307453017244"></a><a name="en-us_topic_0264269418_li3307453017244"></a><strong id="mrs_01_2128__en-us_topic_0264269418_b35820121395450">scp -p /tmp/MRS-client/MRS</strong><strong id="mrs_01_2128__en-us_topic_0264269418_b138152398395450">_Services_Client.tar</strong> <em id="mrs_01_2128__en-us_topic_0264269418_i205096583495450">IP address of the Core node</em><strong id="mrs_01_2128__en-us_topic_0264269418_b93984621095450">:/opt/client</strong></p>
+</li><li id="mrs_01_2128__en-us_topic_0264269418_li5053215154042">Log in to the Core node as user <strong id="mrs_01_2128__en-us_topic_0264269418_b96762893695450">root</strong>.<p id="mrs_01_2128__en-us_topic_0264269418_p14110049955">For details, see <a href="https://docs.otc.t-systems.com/usermanual/ecs/en-us_topic_0017955380.html" target="_blank" rel="noopener noreferrer">Login Using an SSH Key</a>.</p>
+</li><li id="mrs_01_2128__en-us_topic_0264269418_li7483220165311">Run the following commands to install the client:<p id="mrs_01_2128__en-us_topic_0264269418_p1559044984917"><a name="mrs_01_2128__en-us_topic_0264269418_li7483220165311"></a><a name="en-us_topic_0264269418_li7483220165311"></a><strong id="mrs_01_2128__en-us_topic_0264269418_b155091255503">cd /opt/client</strong></p>
+<p id="mrs_01_2128__en-us_topic_0264269418_p1664215367560"><strong id="mrs_01_2128__en-us_topic_0264269418_b17245433191314">tar -xvf</strong> <strong id="mrs_01_2128__en-us_topic_0264269418_b32192053105616">MRS</strong><strong id="mrs_01_2128__en-us_topic_0264269418_b72191753105613">_Services_Client.tar</strong></p>
+<p id="mrs_01_2128__en-us_topic_0264269418_p186421236155612"><strong id="mrs_01_2128__en-us_topic_0264269418_b1664211363562">tar -xvf MRS<strong id="mrs_01_2128__en-us_topic_0264269418_b364253614561">_</strong>Services_ClientConfig.tar</strong></p>
+<p id="mrs_01_2128__en-us_topic_0264269418_p7200134445715"><strong id="mrs_01_2128__en-us_topic_0264269418_b320064410574">cd /opt/client/MRS</strong><strong id="mrs_01_2128__en-us_topic_0264269418_b520019449574">_Services_ClientConfig</strong></p>
+<p id="mrs_01_2128__en-us_topic_0264269418_p64818911165334"><strong id="mrs_01_2128__en-us_topic_0264269418_b2595433142311">./install.sh</strong> <em id="mrs_01_2128__en-us_topic_0264269418_i561185416305">Client installation directory</em></p>
+<p id="mrs_01_2128__en-us_topic_0264269418_p3544744116550">For example, run the following command:</p>
+<p id="mrs_01_2128__en-us_topic_0264269418_p1612301216558"><strong id="mrs_01_2128__en-us_topic_0264269418_b66926662134534">./install.sh /opt/client</strong></p>
+</li><li id="mrs_01_2128__en-us_topic_0264269418_li2482698517958">For details about how to use the client, see <a href="#mrs_01_2128__en-us_topic_0264269418_section8796733802">Using an MRS Client</a>.</li></ol>
+</div>
+<div class="section" id="mrs_01_2128__en-us_topic_0264269418_section8796733802"><a name="mrs_01_2128__en-us_topic_0264269418_section8796733802"></a><a name="en-us_topic_0264269418_section8796733802"></a><h4 class="sectiontitle">Using an MRS Client</h4><ol id="mrs_01_2128__en-us_topic_0264269418_ol406463517727"><li id="mrs_01_2128__en-us_topic_0264269418_li5310293617727">On the node where the client is installed, run the <strong id="mrs_01_2128__en-us_topic_0264269418_b831216161814">sudo su - omm</strong> command to switch the user. Run the following command to go to the client directory:<p id="mrs_01_2128__en-us_topic_0264269418_p1458176517659"><strong id="mrs_01_2128__en-us_topic_0264269418_b1518921775">cd /opt/client</strong></p>
+</li><li id="mrs_01_2128__en-us_topic_0264269418_li6464792217731">Run the following command to configure environment variables:<p id="mrs_01_2128__en-us_topic_0264269418_p4329329317720"><a name="mrs_01_2128__en-us_topic_0264269418_li6464792217731"></a><a name="en-us_topic_0264269418_li6464792217731"></a><strong id="mrs_01_2128__en-us_topic_0264269418_b4463590517724">source bigdata_env</strong></p>
+</li><li id="mrs_01_2128__en-us_topic_0264269418_li161086496511">If Kerberos authentication is enabled for the current cluster, run the following command to authenticate the user. If Kerberos authentication is disabled for the current cluster, skip this step.<p id="mrs_01_2128__en-us_topic_0264269418_p410854918513"><a name="mrs_01_2128__en-us_topic_0264269418_li161086496511"></a><a name="en-us_topic_0264269418_li161086496511"></a><strong id="mrs_01_2128__en-us_topic_0264269418_b129896457095450">kinit</strong> <em id="mrs_01_2128__en-us_topic_0264269418_i13939735295450">MRS cluster user</em></p>
+<p id="mrs_01_2128__en-us_topic_0264269418_p1410814910514">Example: <strong id="mrs_01_2128__en-us_topic_0264269418_b1810884915516">kinit admin</strong></p>
+<div class="note" id="mrs_01_2128__en-us_topic_0264269418_note9287432201644"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2128__en-us_topic_0264269418_p63123885201646">User <span class="parmname" id="mrs_01_2128__en-us_topic_0264269418_parmname56874839395450"><b>admin</b></span> is created by default for MRS clusters with Kerberos authentication enabled and is used for administrators to maintain the clusters.</p>
+</div></div>
+</li><li id="mrs_01_2128__en-us_topic_0264269418_li6700401317745">Run the client command of a component directly.<p id="mrs_01_2128__en-us_topic_0264269418_p71420617745"><a name="mrs_01_2128__en-us_topic_0264269418_li6700401317745"></a><a name="en-us_topic_0264269418_li6700401317745"></a>For example, run the <strong id="mrs_01_2128__en-us_topic_0264269418_b5605428616591">hdfs dfs -ls /</strong> command to view files in the HDFS root directory.</p>
+</li></ol>
+</div>
+<div class="section" id="mrs_01_2128__en-us_topic_0264269418_section6090605618256"><h4 class="sectiontitle">Installing a Client on a Node Outside the Cluster</h4><ol id="mrs_01_2128__en-us_topic_0264269418_ol210706218310"><li id="mrs_01_2128__en-us_topic_0264269418_li30039791132150"><span>Create an ECS that meets the requirements in the prerequisites.</span></li><li id="mrs_01_2128__en-us_topic_0264269418_li1148114223118"><a name="mrs_01_2128__en-us_topic_0264269418_li1148114223118"></a><a name="en-us_topic_0264269418_li1148114223118"></a><span>Log in to MRS Manager. For details, see <a href="mrs_01_0102.html">Accessing MRS Manager (Versions Earlier Than MRS 3.x)</a>. Then, choose <strong id="mrs_01_2128__en-us_topic_0264269418_b159132782895450">Services</strong>.</span></li><li id="mrs_01_2128__en-us_topic_0264269418_li25485761174241"><span>Click <span class="uicontrol" id="mrs_01_2128__en-us_topic_0264269418_uicontrol1231315226512"><b>Download Client</b></span>.</span></li><li id="mrs_01_2128__en-us_topic_0264269418_li3194586818528"><span>In <span class="parmname" id="mrs_01_2128__en-us_topic_0264269418_parmname27735901102234"><b>Client Type</b></span>, select <span class="parmvalue" id="mrs_01_2128__en-us_topic_0264269418_parmvalue6438789818613"><b>All client files</b></span>.</span></li><li id="mrs_01_2128__en-us_topic_0264269418_li16029034161539"><span>In <span class="parmname" id="mrs_01_2128__en-us_topic_0264269418_parmname181534506243"><b>Download To</b></span>, select <span class="parmvalue" id="mrs_01_2128__en-us_topic_0264269418_parmvalue17153125010246"><b>Remote host</b></span>.</span></li><li id="mrs_01_2128__en-us_topic_0264269418_li24260068101924"><a name="mrs_01_2128__en-us_topic_0264269418_li24260068101924"></a><a name="en-us_topic_0264269418_li24260068101924"></a><span>Set <span class="parmname" id="mrs_01_2128__en-us_topic_0264269418_parmname169882152213"><b>Host IP Address</b></span> to the IP address of the ECS, <span class="parmname" id="mrs_01_2128__en-us_topic_0264269418_parmname110502132218"><b>Host Port</b></span> to <span class="parmvalue" id="mrs_01_2128__en-us_topic_0264269418_parmvalue131051426220"><b>22</b></span>, and <span class="parmname" id="mrs_01_2128__en-us_topic_0264269418_parmname17105825227"><b>Save Path</b></span> to <span class="parmvalue" id="mrs_01_2128__en-us_topic_0264269418_parmvalue8106426228"><b>/home/linux</b></span>.</span><p><ul id="mrs_01_2128__en-us_topic_0264269418_ul24273204141717"><li id="mrs_01_2128__en-us_topic_0264269418_li57918067141717">If the default port <span class="parmvalue" id="mrs_01_2128__en-us_topic_0264269418_parmvalue61609001141717"><b>22</b></span> for logging in to an ECS using SSH has been changed, set <span class="parmname" id="mrs_01_2128__en-us_topic_0264269418_parmname17610103141717"><b>Host Port</b></span> to the new port.</li><li id="mrs_01_2128__en-us_topic_0264269418_li64352513141719"><span class="parmname" id="mrs_01_2128__en-us_topic_0264269418_parmname32866939141719"><b>Save Path</b></span> contains a maximum of 256 characters.</li></ul>
+</p></li><li id="mrs_01_2128__en-us_topic_0264269418_li15099144102010"><span>Set <span class="parmname" id="mrs_01_2128__en-us_topic_0264269418_parmname17522131318251"><b>Login User</b></span> to <span class="parmname" id="mrs_01_2128__en-us_topic_0264269418_parmname152851322515"><b>root</b></span>.</span><p><p id="mrs_01_2128__en-us_topic_0264269418_p61728455102013">If other users are used, ensure that the users have read, write, and execute permission on the save path.</p>
+</p></li><li id="mrs_01_2128__en-us_topic_0264269418_li135088406264"><span>In <span class="parmname" id="mrs_01_2128__en-us_topic_0264269418_parmname14830205312333"><b>SSH Private Key</b></span>, select and upload the key file used for creating cluster B.</span></li><li id="mrs_01_2128__en-us_topic_0264269418_li27726015162252"><span>Click <span class="uicontrol" id="mrs_01_2128__en-us_topic_0264269418_uicontrol5926483424"><b>OK</b></span> to generate a client file.</span><p><p id="mrs_01_2128__en-us_topic_0264269418_p13398261102048">If the following information is displayed, the client package is saved. Click <span class="uicontrol" id="mrs_01_2128__en-us_topic_0264269418_uicontrol6229558610210"><b>Close</b></span>. Obtain the client file from the save path on the remote host that is set when the client is downloaded.</p>
+<pre class="codeblock" id="mrs_01_2128__en-us_topic_0264269418_codeblock47301255340">Client files downloaded to the remote host successfully.</pre>
+<p id="mrs_01_2128__en-us_topic_0264269418_p6498105435314">If the following information is displayed, check the username, password, and security group configurations of the remote host. Ensure that the username and password are correct and an inbound rule of the SSH (22) port has been added to the security group of the remote host. And then, go to <a href="#mrs_01_2128__en-us_topic_0264269418_li1148114223118">2</a> to download the client again.</p>
+<pre class="codeblock" id="mrs_01_2128__en-us_topic_0264269418_codeblock335611138543">Failed to connect to the server. Please check the network connection or parameter settings.</pre>
+<div class="note" id="mrs_01_2128__en-us_topic_0264269418_note7423930133115"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2128__en-us_topic_0264269418_p1742473011313">Generating a client will occupy a large number of disk I/Os. You are advised not to download a client when the cluster is being installed, started, and patched, or in other unstable states.</p>
+</div></div>
+</p></li><li id="mrs_01_2128__en-us_topic_0264269418_li14743004162655"><span>Log in to the ECS using VNC. For details, see <span class="menucascade" id="mrs_01_2128__en-us_topic_0264269418_menucascade77012248711"><b><span class="uicontrol" id="mrs_01_2128__en-us_topic_0264269418_uicontrol770192411710">Instance</span></b> &gt; <b><span class="uicontrol" id="mrs_01_2128__en-us_topic_0264269418_uicontrol670111241771">Logging In to a Linux</span></b> &gt; <b><span class="uicontrol" id="mrs_01_2128__en-us_topic_0264269418_uicontrol27011242714">Logging In to a Linux</span></b></span> in the <em id="mrs_01_2128__en-us_topic_0264269418_i371818166910">Elastic Cloud Server</em> <i><cite id="mrs_01_2128__en-us_topic_0264269418_cite671816161499">User Guide</cite></i></span><p><p id="mrs_01_2128__en-us_topic_0264269418_p924516130597">Log in to the ECS. For details, see <a href="https://docs.otc.t-systems.com/usermanual/ecs/en-us_topic_0017955380.html" target="_blank" rel="noopener noreferrer">Login Using an SSH Key</a>. Set the ECS password and log in to the ECS in VNC mode.</p>
+</p></li><li id="mrs_01_2128__en-us_topic_0264269418_li4775145513575"><span>Perform NTP time synchronization to synchronize the time of nodes outside the cluster with the time of the MRS cluster.</span><p><ol type="a" id="mrs_01_2128__en-us_topic_0264269418_ol193951422145810"><li id="mrs_01_2128__en-us_topic_0264269418_li35979472009">Check whether the NTP service is installed. If it is not installed, run the <strong id="mrs_01_2128__en-us_topic_0264269418_b94247585215">yum install ntp -y</strong> command to install it.</li><li id="mrs_01_2128__en-us_topic_0264269418_li46251218311">Run the <strong id="mrs_01_2128__en-us_topic_0264269418_b13682020314">vim /etc/ntp.conf</strong> command to edit the NTP client configuration file, add the IP address of the Master node in the MRS cluster, and comment out the IP addresses of other servers.<pre class="screen" id="mrs_01_2128__en-us_topic_0264269418_screen115991769270">server <em id="mrs_01_2128__en-us_topic_0264269418_i1246044402714">master1_ip</em> prefer
+server <em id="mrs_01_2128__en-us_topic_0264269418_i194410516271">master2_ip</em> </pre>
+<div class="fignone" id="mrs_01_2128__fig2032510291578"><span class="figcap"><b>Figure 1 </b>Adding the Master node IP addresses</span><br><span><img id="mrs_01_2128__image1647342015574" src="en-us_image_0000001388250740.png"></span></div>
+</li><li id="mrs_01_2128__en-us_topic_0264269418_li03711129101013">Run the <strong id="mrs_01_2128__en-us_topic_0264269418_b1117211137316">service ntpd stop</strong> command to stop the NTP service.</li><li id="mrs_01_2128__en-us_topic_0264269418_li52801730202416">Run the following command to manually synchronize the time:<p id="mrs_01_2128__en-us_topic_0264269418_p1349612315246"><a name="mrs_01_2128__en-us_topic_0264269418_li52801730202416"></a><a name="en-us_topic_0264269418_li52801730202416"></a><strong id="mrs_01_2128__en-us_topic_0264269418_b5991367279">/usr/sbin/ntpdate </strong><em id="mrs_01_2128__en-us_topic_0264269418_i16679123612279">192.168.10.8</em></p>
+<div class="note" id="mrs_01_2128__en-us_topic_0264269418_note733331515278"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2128__en-us_topic_0264269418_p1333131512276"><strong id="mrs_01_2128__en-us_topic_0264269418_b769916459405">192.168.10.8</strong> indicates the IP address of the active Master node.</p>
+</div></div>
+</li><li id="mrs_01_2128__en-us_topic_0264269418_li1626616223117">Run the <strong id="mrs_01_2128__en-us_topic_0264269418_b2030016248317">service ntpd start</strong> or <strong id="mrs_01_2128__en-us_topic_0264269418_b133000249317">systemctl restart ntpd</strong> command to start the NTP service.</li><li id="mrs_01_2128__en-us_topic_0264269418_li103951822155811">Run the <strong id="mrs_01_2128__en-us_topic_0264269418_b548719267313">ntpstat</strong> command to check the time synchronization result:</li></ol>
+</p></li><li id="mrs_01_2128__en-us_topic_0264269418_li3635762195625"><span>On the ECS, switch to user <strong id="mrs_01_2128__en-us_topic_0264269418_b3287143611199">root</strong> and copy the installation package in <span class="parmname" id="mrs_01_2128__en-us_topic_0264269418_parmname15826165216216"><b>Save Path</b></span> in <a href="#mrs_01_2128__en-us_topic_0264269418_li24260068101924">6</a> to the <span class="filepath" id="mrs_01_2128__en-us_topic_0264269418_filepath18421134781917"><b>/opt</b></span> directory. For example, if <span class="parmname" id="mrs_01_2128__en-us_topic_0264269418_parmname141551419223"><b>Save Path</b></span> is set to <span class="parmvalue" id="mrs_01_2128__en-us_topic_0264269418_parmvalue171181838289"><b>/home/linux</b></span>, run the following commands:</span><p><p id="mrs_01_2128__en-us_topic_0264269418_p48215431132834"><strong id="mrs_01_2128__en-us_topic_0264269418_b45350733132836">sudo su - root</strong></p>
+<p id="mrs_01_2128__en-us_topic_0264269418_p383515891068"><strong id="mrs_01_2128__en-us_topic_0264269418_b60207094132016">cp /home/linux/MRS_Services_Client.tar /opt</strong></p>
+</p></li><li id="mrs_01_2128__en-us_topic_0264269418_li1649774418830"><span>Run the following command in the <span class="filepath" id="mrs_01_2128__en-us_topic_0264269418_filepath55449510211457"><b>/opt</b></span> directory to decompress the package and obtain the verification file and the configuration package of the client:</span><p><p id="mrs_01_2128__en-us_topic_0264269418_p5556163418125"><strong id="mrs_01_2128__en-us_topic_0264269418_b3999988132850">tar -xvf MRS</strong><strong id="mrs_01_2128__en-us_topic_0264269418_b686791718137">_Services_Client.tar</strong></p>
+</p></li><li id="mrs_01_2128__en-us_topic_0264269418_li664034951893"><span>Run the following command to verify the configuration file package of the client:</span><p><p id="mrs_01_2128__en-us_topic_0264269418_p54709019181312"><strong id="mrs_01_2128__en-us_topic_0264269418_b66867090132852">sha256sum -c MRS</strong><strong id="mrs_01_2128__en-us_topic_0264269418_b5690940181436">_Services_ClientConfig.tar.sha256</strong></p>
+<p id="mrs_01_2128__en-us_topic_0264269418_p3263777181412">The command output is as follows:</p>
+<pre class="screen" id="mrs_01_2128__en-us_topic_0264269418_screen24131131181456">MRS_Services_ClientConfig.tar: OK</pre>
+</p></li><li id="mrs_01_2128__en-us_topic_0264269418_li4683734818919"><span>Run the following command to decompress <span class="filepath" id="mrs_01_2128__en-us_topic_0264269418_filepath1739724880114532"><b>MRS_Services_ClientConfig.tar</b></span>:</span><p><p id="mrs_01_2128__en-us_topic_0264269418_p36596134181537"><strong id="mrs_01_2128__en-us_topic_0264269418_b3722216132857">tar -xvf MRS</strong><strong id="mrs_01_2128__en-us_topic_0264269418_b9824444181613">_Services_ClientConfig.tar</strong></p>
+</p></li><li id="mrs_01_2128__en-us_topic_0264269418_li4241933918937"><span>Run the following command to install the client to a new directory, for example, <span class="filepath" id="mrs_01_2128__en-us_topic_0264269418_filepath82191038205710"><b>/opt/Bigdata/client</b></span>. A directory is automatically generated during the client installation.</span><p><p id="mrs_01_2128__en-us_topic_0264269418_p7912192181643"><strong id="mrs_01_2128__en-us_topic_0264269418_b8750476132859">sh /opt/MRS</strong><strong id="mrs_01_2128__en-us_topic_0264269418_b39103504181849">_Services_ClientConfig/install.sh /opt/Bigdata/client</strong></p>
+<p id="mrs_01_2128__en-us_topic_0264269418_p37392995181857">If the following information is displayed, the client has been successfully installed:</p>
+<pre class="screen" id="mrs_01_2128__en-us_topic_0264269418_screen654652418195">Components client installation is complete.</pre>
+</p></li><li id="mrs_01_2128__en-us_topic_0264269418_li4993958318107"><span>Check whether the IP address of the ECS node is connected to the IP address of the cluster Master node.</span><p><p id="mrs_01_2128__en-us_topic_0264269418_p41924303132929">For example, run the following command: <strong id="mrs_01_2128__en-us_topic_0264269418_b11051132134150">ping</strong><em id="mrs_01_2128__en-us_topic_0264269418_i22726498134150"><strong id="mrs_01_2128__en-us_topic_0264269418_b32351328134150"> </strong>Master node IP address</em>.</p>
+<ul id="mrs_01_2128__en-us_topic_0264269418_ul4680306518107"><li id="mrs_01_2128__en-us_topic_0264269418_li1857440218107">If yes, go to <a href="#mrs_01_2128__en-us_topic_0264269418_li6406429718107">18</a>.</li><li id="mrs_01_2128__en-us_topic_0264269418_li2813156518107">If no, check whether the VPC and security group are correct and whether the ECS and the MRS cluster are in the same VPC and security group, and go to <a href="#mrs_01_2128__en-us_topic_0264269418_li6406429718107">18</a>.</li></ul>
+</p></li><li id="mrs_01_2128__en-us_topic_0264269418_li6406429718107"><a name="mrs_01_2128__en-us_topic_0264269418_li6406429718107"></a><a name="en-us_topic_0264269418_li6406429718107"></a><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_2128__en-us_topic_0264269418_p3970776518107"><strong id="mrs_01_2128__en-us_topic_0264269418_b54117066175450">source /opt/Bigdata/client/bigdata_env</strong></p>
+</p></li><li id="mrs_01_2128__en-us_topic_0264269418_li59218459111521"><span>If Kerberos authentication is enabled for the current cluster, run the following command to authenticate the user. If Kerberos authentication is disabled for the current cluster, skip this step.</span><p><p id="mrs_01_2128__en-us_topic_0264269418_p3903911193255"><strong id="mrs_01_2128__en-us_topic_0264269418_b2068742935012">kinit</strong> <em id="mrs_01_2128__en-us_topic_0264269418_i12688429145013">MRS cluster user</em></p>
+<p id="mrs_01_2128__en-us_topic_0264269418_p23308555145027">Example: <strong id="mrs_01_2128__en-us_topic_0264269418_b21788660145616">kinit admin</strong></p>
+</p></li><li id="mrs_01_2128__en-us_topic_0264269418_li6221236418107"><span>Run the client command of a component.</span><p><p id="mrs_01_2128__en-us_topic_0264269418_p7053392132957">For example, run the following command to query the HDFS directory:</p>
+<p id="mrs_01_2128__en-us_topic_0264269418_p1719355913307"><strong id="mrs_01_2128__en-us_topic_0264269418_b17667152133012">hdfs dfs -ls /</strong></p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2126.html">Using an MRS Client</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_2129"></a><a name="mrs_01_2129"></a>
+
+<h1 class="topictitle1">Updating a Client (Version 3.x or Later)</h1>
+<div id="en-us_topic_0000001142158626_body0000001142158626"><p id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_a98490068f66048fc8cf71fd087cab21a">A cluster provides a client for you to connect to a server, view task results, or manage data. If you modify service configuration parameters on Manager and restart the service, you need to download and install the client again or use the configuration file to update the client.</p>
+<div class="section" id="mrs_01_2129__en-us_topic_0000001142158626_section17728154711371"><h4 class="sectiontitle">Updating the Client Configuration</h4><p id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_p16939181512175"><strong id="mrs_01_2129__en-us_topic_0000001142158626_b18371380751550">Method 1</strong>:</p>
+<ol id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_o912ceec73ae14d1c975c18feba82f3d8"><li id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_l58da34b5da5442fe9e9cb1a05429a026"><span>Log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>.<span id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_text14228332717"> Click the name of the cluster to be operated in the <strong id="mrs_01_2129__en-us_topic_0000001142158626_b38033083718">Cluster</strong> drop-down list.</span></span></li><li id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_le8bf081ea07a4651b5b877bfdec5c7a5"><span>Choose <span class="menucascade" id="mrs_01_2129__en-us_topic_0000001142158626_menucascade138182844251550"><b><span class="uicontrol" id="mrs_01_2129__en-us_topic_0000001142158626_uicontrol198844334651550">More</span></b> &gt; <b><span class="uicontrol" id="mrs_01_2129__en-us_topic_0000001142158626_uicontrol23655108351550">Download Client</span></b> &gt; <b><span class="uicontrol" id="mrs_01_2129__en-us_topic_0000001142158626_uicontrol156456463251550">Configuration Files Only</span></b></span>.</span><p><p id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_en-us_topic_0118210222_p161253268918">The generated compressed file contains the configuration files of all services.</p>
+<p id="mrs_01_2129__en-us_topic_0000001142158626_p1372623817389"></p>
+</p></li><li id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_lf2f080fef36e40aa92027fe0d2aefd2e"><span>Determine whether to generate a configuration file on the cluster node.</span><p><ul id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_ubf5c670c648c4ab496bd990f2f2358b7"><li id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_l0b7d22ca6dee461982d9601e13edd7a2">If yes, select <strong id="mrs_01_2129__en-us_topic_0000001142158626_b7403104310401">Save to Path</strong>, and click <strong id="mrs_01_2129__en-us_topic_0000001142158626_b2040344319402">OK</strong> to generate the client file. By default, the client file is generated in <strong id="mrs_01_2129__en-us_topic_0000001142158626_b1240344374012">/tmp/FusionInsight-Client</strong> on the active management node. You can also store the client file in other directories, and user <strong id="mrs_01_2129__en-us_topic_0000001142158626_b8524194514015">omm</strong> has the read, write, and execute permissions on the directories. Then go to <a href="#mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_l6af983f03121493ca3526296f5b650c3">4</a>.</li><li id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_l442afd4b24d6472fa53534a2419fdd66">If no, click <strong id="mrs_01_2129__en-us_topic_0000001142158626_b165410112414">OK</strong>, specify a local save path, and download the complete client. Wait until the download is complete and go to <a href="#mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_l6af983f03121493ca3526296f5b650c3">4</a>.</li></ul>
+</p></li><li id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_l6af983f03121493ca3526296f5b650c3"><a name="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_l6af983f03121493ca3526296f5b650c3"></a><a name="en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_l6af983f03121493ca3526296f5b650c3"></a><span>Use WinSCP to save the compressed file to the client installation directory, for example, <strong id="mrs_01_2129__en-us_topic_0000001142158626_b21141418154114">/opt/hadoopclient</strong>, as the client installation user.</span></li><li id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_le9718c36cb0f482bbff3511ca5e68cc4"><span>Decompress the software package.</span><p><p id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_a9c0c31d22b014e32ba184f04d18f098d">Run the following commands to go to the directory where the client is installed, and decompress the file to a local directory. For example, the downloaded client file is <strong id="mrs_01_2129__en-us_topic_0000001142158626_b14103997051550">FusionInsight_Cluster_1_Services_Client.tar</strong>.</p>
+<p id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_p1280219113414"><strong id="mrs_01_2129__en-us_topic_0263899336_en-us_topic_0193213946_b61633073413">cd /opt/hadoopclient</strong></p>
+<p id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_a334003ebce56447b9fd28b26e43f44c2"><strong id="mrs_01_2129__en-us_topic_0263899336_en-us_topic_0193213946_a8e8bc48c236a427682ae43a3497a238b">tar -xvf </strong><strong id="mrs_01_2129__en-us_topic_0263899336_en-us_topic_0193213946_b148011311300">FusionInsight_Cluster_1_</strong><strong id="mrs_01_2129__en-us_topic_0263899336_en-us_topic_0193213946_b1590931143015">Services_Client.tar</strong></p>
+</p></li><li id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_l18cdd36d0c8744d59be686e3ba2e6bab"><span>Verify the software package.</span><p><p id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_a59432dea50db46b9a63996bec8c41455">Run the following command to verify the decompressed file and check whether the command output is consistent with the information in the <strong id="mrs_01_2129__en-us_topic_0000001142158626_b631623434316">sha256</strong> file.</p>
+<p id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_ad1d64ad2c8ee47a996c800b033dc0cde"><strong id="mrs_01_2129__en-us_topic_0263899336_en-us_topic_0193213946_a2b329f4ec2e9465290c09cf9a9141664">sha256sum -c </strong><strong id="mrs_01_2129__en-us_topic_0263899336_en-us_topic_0193213946_b5449347143414">FusionInsight_<strong id="mrs_01_2129__en-us_topic_0263899336_en-us_topic_0193213946_b15661799314">Cluster_1_</strong>Services_ClientConfig_ConfigFiles.tar.sha256</strong></p>
+<pre class="screen" id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_s484da549b8d24fdea1bf8b0f904254cf">FusionInsight_Cluster_1_Services_ClientConfig_ConfigFiles.tar: OK     </pre>
+</p></li><li id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_l72d383dc642140f7821e7ec52d9a65d7"><span>Decompress the package to obtain the configuration file.</span><p><p id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_a78865fccd1b047aaa3bca1a7abf14637"><strong id="mrs_01_2129__en-us_topic_0263899336_en-us_topic_0193213946_a9b036dff49e341c78c0f76b5b8f18efa">tar -xvf FusionInsight_<strong id="mrs_01_2129__en-us_topic_0263899336_en-us_topic_0193213946_b5328621113117">Cluster_1_</strong>Services_ClientConfig_ConfigFiles.tar</strong></p>
+</p></li><li id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_l83c0701996d84f81bf153af29d8426ae"><span>Run the following command in the client installation directory to update the client using the configuration file:</span><p><p id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_a319aa07dcae34cc388506dd241779368"><strong id="mrs_01_2129__en-us_topic_0000001142158626_b101789283451550">sh refreshConfig.sh </strong><em id="mrs_01_2129__en-us_topic_0000001142158626_i70814525051550">Client installation directory</em> <em id="mrs_01_2129__en-us_topic_0000001142158626_i200630211851550">Directory where the configuration file is located</em></p>
+<p id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_p075794511439">For example, run the following command:</p>
+<p id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_en-us_topic_0118210222_p1615585183"><strong id="mrs_01_2129__en-us_topic_0263899336_en-us_topic_0193213946_aaf45276c9b7d4a3f9ded04c33d6730d4">sh refreshConfig.sh</strong><strong id="mrs_01_2129__en-us_topic_0263899336_en-us_topic_0193213946_a44e561c3fc68438c94a976edc4c3169e"> /opt/hadoopclient /opt/<strong id="mrs_01_2129__en-us_topic_0263899336_en-us_topic_0193213946_b10814204953813">hadoop</strong>client/</strong><strong id="mrs_01_2129__en-us_topic_0263899336_en-us_topic_0193213946_a69113eba3c9e4f5f9c2c9d9c2a381e03">FusionInsight</strong><strong id="mrs_01_2129__en-us_topic_0263899336_en-us_topic_0193213946_a037dbbc180074df4bd5238beab709409">_Cluster_1_Services_ClientConfig</strong><strong id="mrs_01_2129__en-us_topic_0263899336_en-us_topic_0193213946_b191411411395">_ConfigFiles</strong></p>
+<p id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_a4a81bd0e045d4a0c98a9f62a4be30267">If the following information is displayed, the configurations have been updated successfully.</p>
+<pre class="screen" id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_en-us_topic_0193213946_s588966ec0e264a56b5dfd417a156e83c">Succeed to refresh components client config.</pre>
+</p></li></ol>
+<p id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_p95661637191714"><strong id="mrs_01_2129__en-us_topic_0000001142158626_b53524549751550">Method 2</strong>:</p>
+<ol id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_ol1616714549176"><li id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_li7167115410173"><span>Log in to the client installation node as user <strong id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_b0282163151817">root</strong>.</span></li><li id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_li19633216161814"><span>Go to the client installation directory, for example, <strong id="mrs_01_2129__en-us_topic_0000001142158626_b3207115154415">/opt/hadoopclient</strong> and run the following commands to update the configuration file:</span><p><p id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_p10834123641810"><strong id="mrs_01_2129__en-us_topic_0263899336_b1183563641818">cd /opt/hadoopclient</strong></p>
+<p id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_p1883514368189"><strong id="mrs_01_2129__en-us_topic_0263899336_b2083519367188">sh autoRefreshConfig.sh</strong></p>
+</p></li><li id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_li19673114761815"><span>Enter the username and password of the FusionInsight Manager administrator and the floating IP address of FusionInsight Manager.</span></li><li id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_li28987711911"><span>Enter the names of the components whose configuration needs to be updated. Use commas (,) to separate the component names. Press <strong id="mrs_01_2129__en-us_topic_0000001142158626_b140828713651550">Enter</strong> to update the configurations of all components if necessary.</span><p><p id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_p1469020151195">If the following information is displayed, the configurations have been updated successfully.</p>
+<pre class="screen" id="mrs_01_2129__en-us_topic_0000001142158626_en-us_topic_0263899336_screen1450813278195">Succeed to refresh components client config.</pre>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2126.html">Using an MRS Client</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_2130"></a><a name="mrs_01_2130"></a>
+
+<h1 class="topictitle1">Updating a Client (Versions Earlier Than 3.x)</h1>
+<div id="body8662426"><div class="note" id="mrs_01_2130__en-us_topic_0264269034_note16414146133716"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2130__en-us_topic_0264269034_p2414144614373">This section applies to clusters of versions earlier than MRS 3.x. For MRS 3.x or later, see <a href="mrs_01_2129.html">Updating a Client (Version 3.x or Later)</a>.</p>
+</div></div>
+<div class="section" id="mrs_01_2130__en-us_topic_0264269034_section49706223568"><h4 class="sectiontitle">Updating a Client Configuration File</h4><p id="mrs_01_2130__en-us_topic_0264269034_p131917475562"><strong id="mrs_01_2130__en-us_topic_0264269034_b101199311165">Scenario</strong></p>
+</div>
+<p id="mrs_01_2130__en-us_topic_0264269034_p4167525595418">An MRS cluster provides a client for you to connect to a server, view task results, or manage data. Before using an MRS client, you need to download and update the client configuration file if service configuration parameters are modified and a service is restarted or the service is merely restarted on MRS Manager.</p>
+<p id="mrs_01_2130__en-us_topic_0264269034_p1078664816296">During cluster creation, the original client is stored in the <span class="filepath" id="mrs_01_2130__en-us_topic_0264269034_filepath9371355185019"><b>/opt/client</b></span> directory on all nodes in the cluster by default. After the cluster is created, only the client of a Master node can be directly used. To use the client of a Core node, you need to update the client configuration file first.</p>
+<p id="mrs_01_2130__en-us_topic_0264269034_p237381316574"><strong id="mrs_01_2130__en-us_topic_0264269034_b1164413519">Procedure</strong></p>
+<p id="mrs_01_2130__en-us_topic_0264269034_p1847181284820"><strong id="mrs_01_2130__en-us_topic_0264269034_b19893622181112">Method 1: </strong></p>
+<ol id="mrs_01_2130__en-us_topic_0264269034_ol45312184151955"><li id="mrs_01_2130__en-us_topic_0264269034_li0460185474017"><span>Log in to MRS Manager. For details, see <a href="mrs_01_0102.html">Accessing MRS Manager (Versions Earlier Than MRS 3.x)</a>. Then, choose <strong id="mrs_01_2130__en-us_topic_0264269034_b12807132133818">Services</strong>.</span></li><li id="mrs_01_2130__en-us_topic_0264269034_li27347702152031"><span>Click <span class="uicontrol" id="mrs_01_2130__en-us_topic_0264269034_uicontrol82379591462"><b>Download Client</b></span>.</span><p><p id="mrs_01_2130__en-us_topic_0264269034_p5142550152031">Set <span class="parmname" id="mrs_01_2130__en-us_topic_0264269034_parmname113671022173820"><b>Client Type</b></span> to <span class="uicontrol" id="mrs_01_2130__en-us_topic_0264269034_uicontrol4373162263812"><b>Only configuration files</b></span>, <span class="parmname" id="mrs_01_2130__en-us_topic_0264269034_parmname1037362283818"><b>Download To</b></span> to <span class="parmvalue" id="mrs_01_2130__en-us_topic_0264269034_parmvalue5374172213811"><b>Server</b></span>, and click <span class="uicontrol" id="mrs_01_2130__en-us_topic_0264269034_uicontrol173743221388"><b>OK</b></span> to generate the client configuration file. The generated file is saved in the <span class="filepath" id="mrs_01_2130__en-us_topic_0264269034_filepath037492223815"><b>/tmp/MRS-client</b></span> directory on the active management node by default. You can customize the file path.</p>
+</p></li><li id="mrs_01_2130__en-us_topic_0264269034_li3915627204617"><span>Query and log in to the active Master node.</span></li><li id="mrs_01_2130__en-us_topic_0264269034_li25265380151955"><span>If you use the client in the cluster, run the following command to switch to user <strong id="mrs_01_2130__en-us_topic_0264269034_b1254673445215">omm</strong>. If you use the client outside the cluster, switch to user <strong id="mrs_01_2130__en-us_topic_0264269034_b205471834175210">root</strong>.</span><p><p id="mrs_01_2130__en-us_topic_0264269034_p26061832151955"><strong id="mrs_01_2130__en-us_topic_0264269034_b33229899151955">sudo su - omm</strong></p>
+</p></li><li id="mrs_01_2130__en-us_topic_0264269034_li30633638151955"><span>Run the following command to switch to the client directory, for example, <span class="filepath" id="mrs_01_2130__en-us_topic_0264269034_filepath204211149133916"><b>/opt/Bigdata/client</b></span>:</span><p><p id="mrs_01_2130__en-us_topic_0264269034_p7267290151955"><strong id="mrs_01_2130__en-us_topic_0264269034_b65405617151955">cd /opt/Bigdata/client</strong></p>
+</p></li><li id="mrs_01_2130__en-us_topic_0264269034_li1470645152711"><span>Run the following command to update client configurations:</span><p><p id="mrs_01_2130__en-us_topic_0264269034_p13235811152711"><strong id="mrs_01_2130__en-us_topic_0264269034_b171918243404">sh refreshConfig.sh</strong> <em id="mrs_01_2130__en-us_topic_0264269034_i11725172419409">Client installation directory</em> <em id="mrs_01_2130__en-us_topic_0264269034_i8725524154013">Full path of the client configuration file package</em></p>
+<p id="mrs_01_2130__en-us_topic_0264269034_p1290068152711">For example, run the following command:</p>
+<p id="mrs_01_2130__en-us_topic_0264269034_p11610615152711"><strong id="mrs_01_2130__en-us_topic_0264269034_b37386679152711">sh refreshConfig.sh /opt/Bigdata/client /tmp/MRS-client/MRS_Services_Client.tar</strong></p>
+<p id="mrs_01_2130__en-us_topic_0264269034_p935796152711">If the following information is displayed, the configurations have been updated successfully.</p>
+<pre class="screen" id="mrs_01_2130__en-us_topic_0264269034_screen8422167152711">ReFresh components client config is complete.
+Succeed to refresh components client config.</pre>
+</p></li></ol>
+<p id="mrs_01_2130__en-us_topic_0264269034_p15726172834610"><strong id="mrs_01_2130__en-us_topic_0264269034_b5401856163920">Method 2: applicable to MRS 1.9.2 or later</strong></p>
+<ol id="mrs_01_2130__en-us_topic_0264269034_ol5576102913553"><li id="mrs_01_2130__en-us_topic_0264269034_li82944456565"><span>After the cluster is installed, run the following command to switch to user <strong id="mrs_01_2130__en-us_topic_0264269034_b186946193314">omm</strong>. If you use the client outside the cluster, switch to user <strong id="mrs_01_2130__en-us_topic_0264269034_b1287174643311">root</strong>.</span><p><p id="mrs_01_2130__en-us_topic_0264269034_p5448944135717"><strong id="mrs_01_2130__en-us_topic_0264269034_b16448164412571">sudo su - omm</strong></p>
+</p></li><li id="mrs_01_2130__en-us_topic_0264269034_li2051110417585"><span>Run the following command to switch to the client directory, for example, <span class="filepath" id="mrs_01_2130__en-us_topic_0264269034_filepath656618219402"><b>/opt/Bigdata/client</b></span>:</span><p><p id="mrs_01_2130__en-us_topic_0264269034_p051194195817"><strong id="mrs_01_2130__en-us_topic_0264269034_b1851115455812">cd /opt/Bigdata/client</strong></p>
+</p></li><li id="mrs_01_2130__en-us_topic_0264269034_li1087892195813"><span>Run the following command and enter the name of an MRS Manager user with the download permission and its password (for example, the username is <strong id="mrs_01_2130__en-us_topic_0264269034_b14917162844311">admin</strong> and the password is the one set during cluster creation) as prompted to update client configurations.</span><p><p id="mrs_01_2130__en-us_topic_0264269034_p6878921195810"><strong id="mrs_01_2130__en-us_topic_0264269034_b178781121105814">sh autoRefreshConfig.sh</strong></p>
+</p></li><li id="mrs_01_2130__en-us_topic_0264269034_li0296115215011"><span>After the command is executed, the following information is displayed, where <em id="mrs_01_2130__en-us_topic_0264269034_i121052577354">XXX </em>indicates the name of the component installed in the cluster. To update client configurations of all components, press <strong id="mrs_01_2130__en-us_topic_0264269034_b1410725773511">Enter</strong>. To update client configurations of some components, enter the component names and separate them with commas (,).</span><p><pre class="screen" id="mrs_01_2130__en-us_topic_0264269034_screen18255312155413">Components "xxx" have been installed in the cluster. Please input the comma-separated names of the components for which you want to update client configurations. If you press Enter without inputting any component name, the client configurations of all components will be updated:</pre>
+<p id="mrs_01_2130__en-us_topic_0264269034_p1678112144124">If the following information is displayed, the configurations have been updated successfully.</p>
+<pre class="screen" id="mrs_01_2130__en-us_topic_0264269034_screen15364931215">Succeed to refresh components client config.</pre>
+<p id="mrs_01_2130__en-us_topic_0264269034_p15741910130">If the following information is displayed, the username or password is incorrect.</p>
+<pre class="screen" id="mrs_01_2130__en-us_topic_0264269034_screen28401516146">login manager failed,Incorrect username or password.</pre>
+<div class="note" id="mrs_01_2130__en-us_topic_0264269034_note66371463118"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_2130__en-us_topic_0264269034_ul13801188313"><li id="mrs_01_2130__en-us_topic_0264269034_li48011381030">This script automatically connects to the cluster and invokes the <strong id="mrs_01_2130__en-us_topic_0264269034_b14579959103612">refreshConfig.sh</strong> script to download and update the client configuration file.</li><li id="mrs_01_2130__en-us_topic_0264269034_li35580574148">By default, the client uses the floating IP address specified by <strong id="mrs_01_2130__en-us_topic_0264269034_b111952723710">wsom=xxx</strong> in the <strong id="mrs_01_2130__en-us_topic_0264269034_b18196187153716">Version </strong>file in the installation directory to update the client configurations. To update the configuration file of another cluster, modify the value of<strong id="mrs_01_2130__en-us_topic_0264269034_b131971471378"> wsom=xxx</strong> in the <strong id="mrs_01_2130__en-us_topic_0264269034_b71989716378">Version </strong>file to the floating IP address of the corresponding cluster before performing this step.</li></ul>
+</div></div>
+</p></li></ol>
+<div class="section" id="mrs_01_2130__en-us_topic_0264269034_section92959464575"><h4 class="sectiontitle">Fully Updating the Original Client of the Active Master Node</h4><p id="mrs_01_2130__en-us_topic_0264269034_p10496135914819"><strong id="mrs_01_2130__en-us_topic_0264269034_b1491016533473">Scenario</strong></p>
+<p id="mrs_01_2130__en-us_topic_0264269034_p1067417421014">During cluster creation, the original client is stored in the <span class="filepath" id="mrs_01_2130__en-us_topic_0264269034_filepath1228938135116"><b>/opt/client</b></span> directory on all nodes in the cluster by default. The following uses <strong id="mrs_01_2130__en-us_topic_0264269034_b12986102514324">/opt/Bigdata/client</strong> as an example.</p>
+<ul id="mrs_01_2130__en-us_topic_0264269034_ul4711194551015"><li id="mrs_01_2130__en-us_topic_0264269034_li18711114561018">For a normal MRS cluster, you will use the pre-installed client on a Master node to submit a job on the management console page.</li><li id="mrs_01_2130__en-us_topic_0264269034_li01351149161016">You can also use the pre-installed client on the Master node to connect to a server, view task results, and manage data.</li></ul>
+<p id="mrs_01_2130__en-us_topic_0264269034_p126757431015">After installing the patch on the cluster, you need to update the client on the Master node to ensure that the functions of the built-in client are available.</p>
+<p id="mrs_01_2130__en-us_topic_0264269034_p495495081012"><strong id="mrs_01_2130__en-us_topic_0264269034_b1849614414386">Procedure</strong></p>
+<ol id="mrs_01_2130__en-us_topic_0264269034_ol13453112165817"><li id="mrs_01_2130__en-us_topic_0264269034_li6500547131416"><a name="mrs_01_2130__en-us_topic_0264269034_li6500547131416"></a><a name="en-us_topic_0264269034_li6500547131416"></a><span>Log in to MRS Manager. For details, see <a href="mrs_01_0102.html">Accessing MRS Manager (Versions Earlier Than MRS 3.x)</a>. Then, choose <strong id="mrs_01_2130__en-us_topic_0264269034_b22396138519">Services</strong>.</span></li><li id="mrs_01_2130__en-us_topic_0264269034_li1454122195814"><span>Click <span class="uicontrol" id="mrs_01_2130__en-us_topic_0264269034_uicontrol18881136103813"><b>Download Client</b></span>.</span><p><p id="mrs_01_2130__en-us_topic_0264269034_p2045610215815">Set <span class="parmname" id="mrs_01_2130__en-us_topic_0264269034_parmname1896033125114"><b>Client Type</b></span> to <span class="uicontrol" id="mrs_01_2130__en-us_topic_0264269034_uicontrol590217339511"><b>All client files</b></span>, <span class="parmname" id="mrs_01_2130__en-us_topic_0264269034_parmname290210332510"><b>Download To</b></span> to <span class="parmvalue" id="mrs_01_2130__en-us_topic_0264269034_parmvalue2090213330511"><b>Server</b></span>, and click <span class="uicontrol" id="mrs_01_2130__en-us_topic_0264269034_uicontrol13902233105115"><b>OK</b></span> to generate the client configuration file. The generated file is saved in the <span class="filepath" id="mrs_01_2130__en-us_topic_0264269034_filepath9903033135111"><b>/tmp/MRS-client</b></span> directory on the active management node by default. You can customize the file path.</p>
+</p></li><li id="mrs_01_2130__en-us_topic_0264269034_li14850170195112"><a name="mrs_01_2130__en-us_topic_0264269034_li14850170195112"></a><a name="en-us_topic_0264269034_li14850170195112"></a><span>Query and log in to the active Master node.</span></li><li id="mrs_01_2130__en-us_topic_0264269034_li3635762195625"><a name="mrs_01_2130__en-us_topic_0264269034_li3635762195625"></a><a name="en-us_topic_0264269034_li3635762195625"></a><span>On the ECS, switch to user <strong id="mrs_01_2130__en-us_topic_0264269034_b63325773510342">root</strong> and copy the installation package to the <span class="filepath" id="mrs_01_2130__en-us_topic_0264269034_filepath188678181710348"><b>/opt</b></span> directory.</span><p><p id="mrs_01_2130__en-us_topic_0264269034_p48215431132834"><strong id="mrs_01_2130__en-us_topic_0264269034_b45350733132836">sudo su - root</strong></p>
+<p id="mrs_01_2130__en-us_topic_0264269034_p383515891068"><strong id="mrs_01_2130__en-us_topic_0264269034_b60207094132016">cp /tmp/MRS-client/MRS_Services_Client.tar /opt</strong></p>
+</p></li><li id="mrs_01_2130__en-us_topic_0264269034_li1649774418830"><span>Run the following command in the <span class="filepath" id="mrs_01_2130__en-us_topic_0264269034_filepath97252870910640"><b>/opt</b></span> directory to decompress the package and obtain the verification file and the configuration package of the client:</span><p><p id="mrs_01_2130__en-us_topic_0264269034_p5556163418125"><strong id="mrs_01_2130__en-us_topic_0264269034_b3999988132850">tar -xvf MRS</strong><strong id="mrs_01_2130__en-us_topic_0264269034_b686791718137">_Services_Client.tar</strong></p>
+</p></li><li id="mrs_01_2130__en-us_topic_0264269034_li664034951893"><span>Run the following command to verify the configuration file package of the client:</span><p><p id="mrs_01_2130__en-us_topic_0264269034_p54709019181312"><strong id="mrs_01_2130__en-us_topic_0264269034_b66867090132852">sha256sum -c MRS</strong><strong id="mrs_01_2130__en-us_topic_0264269034_b5690940181436">_Services_ClientConfig.tar.sha256</strong></p>
+<p id="mrs_01_2130__en-us_topic_0264269034_p3263777181412">The command output is as follows:</p>
+<pre class="screen" id="mrs_01_2130__en-us_topic_0264269034_screen24131131181456">MRS_Services_ClientConfig.tar: OK</pre>
+</p></li><li id="mrs_01_2130__en-us_topic_0264269034_li4683734818919"><span>Run the following command to decompress <span class="filepath" id="mrs_01_2130__en-us_topic_0264269034_filepath1739724880114532"><b>MRS_Services_ClientConfig.tar</b></span>:</span><p><p id="mrs_01_2130__en-us_topic_0264269034_p36596134181537"><strong id="mrs_01_2130__en-us_topic_0264269034_b3722216132857">tar -xvf MRS</strong><strong id="mrs_01_2130__en-us_topic_0264269034_b9824444181613">_Services_ClientConfig.tar</strong></p>
+</p></li><li id="mrs_01_2130__en-us_topic_0264269034_li1053954121520"><span>Run the following command to move the original client to the <strong id="mrs_01_2130__en-us_topic_0264269034_b19490059153616">/opt/Bigdata/client_bak</strong> directory:</span><p><p id="mrs_01_2130__en-us_topic_0264269034_p32701316315"><strong id="mrs_01_2130__en-us_topic_0264269034_b2973811151920">mv /opt/Bigdata/client</strong> <strong id="mrs_01_2130__en-us_topic_0264269034_b520016014190">/opt/</strong><strong id="mrs_01_2130__en-us_topic_0264269034_b66926662134534">Bigdata/</strong><strong id="mrs_01_2130__en-us_topic_0264269034_b192011100198">client_bak</strong></p>
+</p></li><li id="mrs_01_2130__en-us_topic_0264269034_li15501741632"><span>Run the following command to install the client in a new directory. The client path must be <span class="filepath" id="mrs_01_2130__en-us_topic_0264269034_filepath10568125665219"><b>/opt/Bigdata/client</b></span>.</span><p><p id="mrs_01_2130__en-us_topic_0264269034_p052279632"><strong id="mrs_01_2130__en-us_topic_0264269034_b8750476132859">sh /opt/MRS</strong><strong id="mrs_01_2130__en-us_topic_0264269034_b39103504181849">_Services_ClientConfig/install.sh /opt/Bigdata/client</strong></p>
+<p id="mrs_01_2130__en-us_topic_0264269034_p37392995181857">If the following information is displayed, the client has been successfully installed:</p>
+<pre class="screen" id="mrs_01_2130__en-us_topic_0264269034_screen654652418195">Components client installation is complete.</pre>
+</p></li><li id="mrs_01_2130__en-us_topic_0264269034_li11580525172611"><span>Run the following command to modify the user and user group of the <strong id="mrs_01_2130__en-us_topic_0264269034_b15862111412370">/opt/Bigdata/client</strong> directory:</span><p><p id="mrs_01_2130__en-us_topic_0264269034_p921285320266"><strong id="mrs_01_2130__en-us_topic_0264269034_b42481210103720">chown omm:wheel /opt/Bigdata/client -R</strong></p>
+</p></li><li id="mrs_01_2130__en-us_topic_0264269034_li6406429718107"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_2130__en-us_topic_0264269034_p3970776518107"><strong id="mrs_01_2130__en-us_topic_0264269034_b54117066175450">source /opt/Bigdata/client/bigdata_env</strong></p>
+</p></li><li id="mrs_01_2130__en-us_topic_0264269034_li59218459111521"><span>If Kerberos authentication is enabled for the current cluster, run the following command to authenticate the user. If Kerberos authentication is disabled for the current cluster, skip this step.</span><p><p id="mrs_01_2130__en-us_topic_0264269034_p3903911193255"><strong id="mrs_01_2130__en-us_topic_0264269034_b1380904515535">kinit</strong> <em id="mrs_01_2130__en-us_topic_0264269034_i381514458537">MRS cluster user</em></p>
+<p id="mrs_01_2130__en-us_topic_0264269034_p23308555145027">Example: <strong id="mrs_01_2130__en-us_topic_0264269034_b1436025993715">kinit admin</strong></p>
+</p></li><li id="mrs_01_2130__en-us_topic_0264269034_li6221236418107"><a name="mrs_01_2130__en-us_topic_0264269034_li6221236418107"></a><a name="en-us_topic_0264269034_li6221236418107"></a><span>Run the client command of a component.</span><p><p id="mrs_01_2130__en-us_topic_0264269034_p7053392132957">For example, run the following command to query the HDFS directory:</p>
+<p id="mrs_01_2130__en-us_topic_0264269034_p1719355913307"><strong id="mrs_01_2130__en-us_topic_0264269034_b17667152133012">hdfs dfs -ls /</strong></p>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_2130__en-us_topic_0264269034_section1129715468573"><h4 class="sectiontitle">Fully Updating the Original Client of the Standby Master Node</h4><ol id="mrs_01_2130__en-us_topic_0264269034_ol1299394782110"><li id="mrs_01_2130__en-us_topic_0264269034_li1699315475218"><span>Repeat <a href="#mrs_01_2130__en-us_topic_0264269034_li6500547131416">1</a> to <a href="#mrs_01_2130__en-us_topic_0264269034_li14850170195112">3</a> to log in to the standby Master node, and run the following command to switch to user <strong id="mrs_01_2130__en-us_topic_0264269034_b1733123954318">omm</strong>:</span><p><p id="mrs_01_2130__en-us_topic_0264269034_p370582942416"><strong id="mrs_01_2130__en-us_topic_0264269034_b1535214111501">sudo su - omm</strong></p>
+</p></li><li id="mrs_01_2130__en-us_topic_0264269034_li36641306259"><span>Run the following command on the standby master node to copy the downloaded client package from the active master node:</span><p><p id="mrs_01_2130__en-us_topic_0264269034_p243545712511"><strong id="mrs_01_2130__en-us_topic_0264269034_b7832235124310">scp omm@</strong><em id="mrs_01_2130__en-us_topic_0264269034_i5342436204312">master1 node</em><em id="mrs_01_2130__en-us_topic_0264269034_i851183812402">IP address</em><strong id="mrs_01_2130__en-us_topic_0264269034_b16493038184020">:/tmp/MRS-client/MRS_Services_Client.tar <strong id="mrs_01_2130__en-us_topic_0264269034_b1949373804020">/tmp/MRS-client/</strong></strong></p>
+<div class="note" id="mrs_01_2130__en-us_topic_0264269034_note159250592913"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_2130__en-us_topic_0264269034_ul17174119121214"><li id="mrs_01_2130__en-us_topic_0264269034_li181741094124">In this command, <strong id="mrs_01_2130__en-us_topic_0264269034_b111911934192315">master1</strong> node is the active master node.</li><li id="mrs_01_2130__en-us_topic_0264269034_li017415951212"><strong id="mrs_01_2130__en-us_topic_0264269034_b640063314244">/tmp/MRS-client/</strong> is an example target directory of the standby master node.</li></ul>
+</div></div>
+</p></li><li id="mrs_01_2130__en-us_topic_0264269034_li2081083715267"><span>Repeat <a href="#mrs_01_2130__en-us_topic_0264269034_li3635762195625">4</a> to <a href="#mrs_01_2130__en-us_topic_0264269034_li6221236418107">13</a> to update the client of the standby Master node.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2126.html">Using an MRS Client</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2210.html b/docs/mrs/component-operation-guide/mrs_01_2210.html
new file mode 100644
index 000000000..15fab9082
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2210.html
@@ -0,0 +1,14 @@
+<a name="mrs_01_2210"></a><a name="mrs_01_2210"></a>
+
+<h1 class="topictitle1">Why Is the Error Message "import argparse" Displayed When the Phoenix sqlline Script Is Used?</h1>
+<div id="body0000001096459875"><div class="section" id="mrs_01_2210__section10391135111314"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2210__p196973711313">When the sqlline script is used on the client, the error message "import argparse" is displayed.</p>
+</div>
+<div class="section" id="mrs_01_2210__section4175103241310"><h4 class="sectiontitle">Answer</h4><ol id="mrs_01_2210__ol492463210192"><li id="mrs_01_2210__li11925153212196"><span>Log in to the node where the HBase client is installed as user <strong id="mrs_01_2210__b63164489258">root</strong>. Perform security authentication using the <strong id="mrs_01_2210__b842352706162112">hbase</strong> user.</span></li><li id="mrs_01_2210__li159251732101919"><span>Go to the directory where the sqlline script of the HBase client is stored and run the <strong id="mrs_01_2210__b1438513595258">python3 sqlline.py</strong> command.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1638.html">Common Issues About HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2211.html b/docs/mrs/component-operation-guide/mrs_01_2211.html
new file mode 100644
index 000000000..1f9fc3386
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2211.html
@@ -0,0 +1,58 @@
+<a name="mrs_01_2211"></a><a name="mrs_01_2211"></a>
+
+<h1 class="topictitle1">How Do I Deal with the Restrictions of the Phoenix BulkLoad Tool?</h1>
+<div id="body0000001136382301"><div class="section" id="mrs_01_2211__section132901917352"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2211__p115714455464">When the indexed field data is updated, if a batch of data exists in the user table, the BulkLoad tool cannot update the global and partial mutable indexes.</p>
+</div>
+<div class="section" id="mrs_01_2211__section523631285214"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2211__p16212883715"><strong id="mrs_01_2211__b0520926133717">Problem Analysis</strong></p>
+<ol id="mrs_01_2211__ol18902204474620"><li id="mrs_01_2211__li6902144417464">Create a table.<pre class="screen" id="mrs_01_2211__screen997154317389">CREATE TABLE TEST_TABLE(
+DATE varchar not null,
+NUM integer not null,
+SEQ_NUM integer not null,
+ACCOUNT1 varchar not null,
+ACCOUNTDES varchar,
+FLAG varchar,
+SALL double,
+CONSTRAINT PK PRIMARY KEY (DATE,NUM,SEQ_NUM,ACCOUNT1)
+);</pre>
+</li><li id="mrs_01_2211__li199028444468">Create a global index.<p id="mrs_01_2211__p7241850104615"><a name="mrs_01_2211__li199028444468"></a><a name="li199028444468"></a><strong id="mrs_01_2211__b1322120528385">CREATE INDEX TEST_TABLE_INDEX ON TEST_TABLE(ACCOUNT1,DATE,NUM,ACCOUNTDES,SEQ_NUM)</strong>;</p>
+</li><li id="mrs_01_2211__li1790234444611">Insert data.<p id="mrs_01_2211__p6607125334610"><a name="mrs_01_2211__li1790234444611"></a><a name="li1790234444611"></a><strong id="mrs_01_2211__b28427053920">UPSERT INTO TEST_TABLE (DATE,NUM,SEQ_NUM,ACCOUNT1,ACCOUNTDES,FLAG,SALL) values ('20201001',30201001,13,'367392332','sffa1','','');</strong></p>
+</li><li id="mrs_01_2211__li149022447468">Execute the BulkLoad task to update data.<div class="p" id="mrs_01_2211__p1426910571469"><a name="mrs_01_2211__li149022447468"></a><a name="li149022447468"></a><strong id="mrs_01_2211__b11375910113917">hbase org.apache.phoenix.mapreduce.CsvBulkLoadTool -t TEST_TABLE -i /tmp/test.csv</strong>, where the content of <strong id="mrs_01_2211__b147772055172312">test.csv</strong> is as follows:
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2211__table6387713193817" frame="border" border="1" rules="all"><tbody><tr id="mrs_01_2211__row183873137381"><td class="cellrowborder" valign="top" width="12.040000000000001%"><p id="mrs_01_2211__p9387101317387">20201001</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.040000000000001%"><p id="mrs_01_2211__p1738713130389">30201001</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.040000000000001%"><p id="mrs_01_2211__p173871913173818">13</p>
+</td>
+<td class="cellrowborder" valign="top" width="27.760000000000005%"><p id="mrs_01_2211__p193871713193818">367392332</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.040000000000001%"><p id="mrs_01_2211__p9387181373818">sffa888</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.040000000000001%"><p id="mrs_01_2211__p3387111363818">1231243</p>
+</td>
+<td class="cellrowborder" valign="top" width="12.040000000000001%"><p id="mrs_01_2211__p0387813143815">23</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</li><li id="mrs_01_2211__li159021244104613">Symptom: The existing index data cannot be directly updated. As a result, two pieces of index data exist.<pre class="screen" id="mrs_01_2211__screen148006309436">+------------+-----------+-----------+---------------+----------------+
+| :ACCOUNT1  |   :DATE   |   :NUM    | 0:ACCOUNTDES  | :SEQ_NUM  |
++------------+-----------+-----------+---------------+----------------+
+| 367392332  | 20201001  | 30201001  | sffa1          |  13                    |
+| 367392332  | 20201001  | 30201001  | sffa888       | 13                    |
++------------+-----------+-----------+---------------+----------------+</pre>
+</li></ol>
+<p id="mrs_01_2211__p1397720289376"><strong id="mrs_01_2211__b67025425374">Solution</strong></p>
+<ol id="mrs_01_2211__ol19609395714"><li id="mrs_01_2211__li1596122919812"><span>Delete the old index table.</span><p><p id="mrs_01_2211__p139021306814"><strong id="mrs_01_2211__b16643294473">DROP INDEX TEST_TABLE_INDEX ON TEST_TABL</strong><strong id="mrs_01_2211__b3188114318810">E;</strong></p>
+</p></li><li id="mrs_01_2211__li10562544717"><span>Create an index table in asynchronous mode.</span><p><p id="mrs_01_2211__p59031738781"><strong id="mrs_01_2211__b1737614343470">CREATE INDEX TEST_TABLE_INDEX ON TEST_TABLE(ACCOUNT1,DATE,NUM,ACCOUNTDES,SEQ_NUM) ASYNC;</strong></p>
+</p></li><li id="mrs_01_2211__li650311332817"><span>Recreate a index.</span><p><p id="mrs_01_2211__p19799341994"><strong id="mrs_01_2211__b1832624017473">hbase org.apache.phoenix.mapreduce.index.IndexTool --data-table TEST_TABLE --index-table TEST_TABLE_INDEX --output-path /user/test_table</strong></p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1638.html">Common Issues About HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2212.html b/docs/mrs/component-operation-guide/mrs_01_2212.html
new file mode 100644
index 000000000..143453c5b
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2212.html
@@ -0,0 +1,34 @@
+<a name="mrs_01_2212"></a><a name="mrs_01_2212"></a>
+
+<h1 class="topictitle1">Why a Message Is Displayed Indicating that the Permission is Insufficient When CTBase Connects to the Ranger Plug-ins?</h1>
+<div id="body0000001136539485"><div class="section" id="mrs_01_2212__section132901917352"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2212__p115714455464">When CTBase accesses the HBase service with the Ranger plug-ins enabled and you are creating a cluster table, a message is displayed indicating that the permission is insufficient.</p>
+<pre class="screen" id="mrs_01_2212__screen179671451497">ERROR: Create ClusterTable failed. Error: org.apache.hadoop.hbase.security.AccessDeniedException: Insufficient permissions for user 'ctbase2@HADOOP.COM' (action=create)
+at org.apache.ranger.authorization.hbase.AuthorizationSession.publishResults(AuthorizationSession.java:278)
+at org.apache.ranger.authorization.hbase.RangerAuthorizationCoprocessor.authorizeAccess(RangerAuthorizationCoprocessor.java:654)
+at org.apache.ranger.authorization.hbase.RangerAuthorizationCoprocessor.requirePermission(RangerAuthorizationCoprocessor.java:772)
+at org.apache.ranger.authorization.hbase.RangerAuthorizationCoprocessor.preCreateTable(RangerAuthorizationCoprocessor.java:943)
+at org.apache.ranger.authorization.hbase.RangerAuthorizationCoprocessor.preCreateTable(RangerAuthorizationCoprocessor.java:428)
+at org.apache.hadoop.hbase.master.MasterCoprocessorHost$12.call(MasterCoprocessorHost.java:351)
+at org.apache.hadoop.hbase.master.MasterCoprocessorHost$12.call(MasterCoprocessorHost.java:348)
+at org.apache.hadoop.hbase.coprocessor.CoprocessorHost$ObserverOperationWithoutResult.callObserver(CoprocessorHost.java:581)
+at org.apache.hadoop.hbase.coprocessor.CoprocessorHost.execOperation(CoprocessorHost.java:655)
+at org.apache.hadoop.hbase.master.MasterCoprocessorHost.preCreateTable(MasterCoprocessorHost.java:348)
+at org.apache.hadoop.hbase.master.HMaster$5.run(HMaster.java:2192)
+at org.apache.hadoop.hbase.master.procedure.MasterProcedureUtil.submitProcedure(MasterProcedureUtil.java:134)
+at org.apache.hadoop.hbase.master.HMaster.createTable(HMaster.java:2189)
+at org.apache.hadoop.hbase.master.MasterRpcServices.createTable(MasterRpcServices.java:711)
+at org.apache.hadoop.hbase.shaded.protobuf.generated.MasterProtos$MasterService$2.callBlockingMethod(MasterProtos.java)
+at org.apache.hadoop.hbase.ipc.RpcServer.call(RpcServer.java:458)
+at org.apache.hadoop.hbase.ipc.CallRunner.run(CallRunner.java:133)
+at org.apache.hadoop.hbase.ipc.RpcExecutor$Handler.run(RpcExecutor.java:338)
+at org.apache.hadoop.hbase.ipc.RpcExecutor$Handler.run(RpcExecutor.java:318)</pre>
+</div>
+<div class="section" id="mrs_01_2212__section523631285214"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2212__p1623911310533">CTBase users can configure permission policies on the Ranger page and grant the READ, WRITE, CREATE, ADMIN, and EXECUTE permissions to the CTBase metadata table <strong id="mrs_01_2212__b168821675577">_ctmeta_</strong>, cluster table, and index table.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1638.html">Common Issues About HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2300.html b/docs/mrs/component-operation-guide/mrs_01_2300.html
new file mode 100644
index 000000000..2dbebc535
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2300.html
@@ -0,0 +1,15 @@
+<a name="mrs_01_2300"></a><a name="mrs_01_2300"></a>
+
+<h1 class="topictitle1">Why Cannot a New User Log In to Ranger After Changing the Password?</h1>
+<div id="body1600745521301"><div class="section" id="mrs_01_2300__s8ca259b185b249ea993481ef18fbe589"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2300__af19157bd592044eaa44c1630dcdb96f2">When a new user logs in to Ranger, why is the 401 error reported after the password is changed?</p>
+</div>
+<div class="section" id="mrs_01_2300__sb821aee499864a0598739905b0c6889b"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2300__p16824108143414">The UserSync synchronizes user data at an interval of 5 minutes by default. Therefore, a new user created on Manager cannot log in to the Ranger before the user data is successfully synchronized because the Ranger database does not have the user information. The user can log in to the Ranger only after the specified interval ends.</p>
+<p id="mrs_01_2300__p1776194693617">In non-security mode, the Ranger does not synchronize user data from Manager. Therefore, only the <strong id="mrs_01_2300__b1234217181353">admin</strong> user can log in to the Ranger page.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1866.html">Common Issues About Ranger</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2301.html b/docs/mrs/component-operation-guide/mrs_01_2301.html
new file mode 100644
index 000000000..52ceefa2d
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2301.html
@@ -0,0 +1,33 @@
+<a name="mrs_01_2301"></a><a name="mrs_01_2301"></a>
+
+<h1 class="topictitle1">Migrating Data on CarbonData from Spark 1.5 to Spark2x</h1>
+<div id="body1600760662040"><div class="section" id="mrs_01_2301__section833453015315"><h4 class="sectiontitle">Migration Solution Overview</h4><p id="mrs_01_2301__p16765153113110">This migration guides you to migrate the CarbonData table data of Spark 1.5 to that of Spark2x.</p>
+<div class="note" id="mrs_01_2301__note73802029132816"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2301__p183816295281">Before performing this operation, you need to stop the data import service of the CarbonData table in Spark 1.5 and migrate data to the CarbonData table of Spark2x at a time. After the migration is complete, use Spark2x to perform service operations.</p>
+</div></div>
+<p id="mrs_01_2301__p15758191471217">Migration roadmap:</p>
+<ol id="mrs_01_2301__ol158212224124"><li id="mrs_01_2301__li1482102218126">Use Spark 1.5 to migrate historical data to the intermediate table.</li><li id="mrs_01_2301__li982112291216">Use Spark2x to migrate data from the intermediate table to the target table and change the target table name to the original table name.</li><li id="mrs_01_2301__li5821822121220">After the migration is complete, use Spark2x to operate data in the CarbonData table.</li></ol>
+</div>
+<div class="section" id="mrs_01_2301__section65812925414"><h4 class="sectiontitle">Migration Solution and Commands</h4><p id="mrs_01_2301__p61011930195412"><strong id="mrs_01_2301__b66711197373">Migrating Historical Data</strong></p>
+</div>
+<ol id="mrs_01_2301__ol189205312114"><li id="mrs_01_2301__li1892013318114"><span>Stop the CarbonData data import service, use spark-beeline of Spark 1.5 to view the ID and time of the latest segment in the CarbonData table, and record the segment ID.</span><p><p id="mrs_01_2301__p98421913165519"><strong id="mrs_01_2301__b334122419552">show segments for table dbname.tablename;</strong></p>
+</p></li><li id="mrs_01_2301__li1092003116117"><a name="mrs_01_2301__li1092003116117"></a><a name="li1092003116117"></a><span>Run spark-beeline of Spark 1.5 as the user who has created the original CarbonData table to create an intermediate table in ORC or Parquet format. Then import the data in the original CarbonData table to the intermediate table. After the import is complete, the services of the CarbonData table can be restored.</span><p><p id="mrs_01_2301__p104110183564">Create an ORC table.</p>
+<p id="mrs_01_2301__p17788131205610"><strong id="mrs_01_2301__b1497222318568">CREATE TABLE dbname.mid_tablename_orc STORED AS ORC as select * from dbname.tablename;</strong></p>
+<p id="mrs_01_2301__p149741819115620">Create a Parquet table.</p>
+<p id="mrs_01_2301__p19510330125612"><strong id="mrs_01_2301__b415973416564">CREATE TABLE dbname.mid_tablename_parq STORED AS PARQUET as select * from dbname.tablename;</strong></p>
+<p id="mrs_01_2301__p5166153195516">In the preceding command, <strong id="mrs_01_2301__b1763711363816">dbname</strong> indicates the database name and <strong id="mrs_01_2301__b16716151718384">tablename</strong> indicates the name of the original CarbonData table.</p>
+</p></li><li id="mrs_01_2301__li192112311210"><a name="mrs_01_2301__li192112311210"></a><a name="li192112311210"></a><span>Run spark-beeline of Spark2x as the user who has created the original CarbonData table. Run the table creation statement of the old table to create a CarbonData table.</span><p><div class="note" id="mrs_01_2301__note1972753417620"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2301__p197286341616">In the statement for creating a new table, the field sequence and type must be the same as those of the old table. In this way, the index column structure of the old table can be retained, which helps avoid errors caused by the use of <strong id="mrs_01_2301__b146868420413">select *</strong> statement during data insertion.</p>
+</div></div>
+<p id="mrs_01_2301__p53836325810">Run the spark-beeline command of Spark 1.5 to view the table creation statement of the old table: <strong id="mrs_01_2301__b19051014288">SHOW CREATE TABLE dbname.tablename;</strong></p>
+<p id="mrs_01_2301__p1243517161991">Create a CarbonData table named <strong id="mrs_01_2301__b8143155220475">dbname.new_tablename</strong>.</p>
+</p></li><li id="mrs_01_2301__li179213311416"><span>Run spark-beeline of Spark2x as the user who has created the original CarbonData table to load the intermediate table data in ORC (or PARQUET) format created in <a href="#mrs_01_2301__li1092003116117">2</a> to the new table created in <a href="#mrs_01_2301__li192112311210">3</a>. This step may take a long time (about 2 hours for 200 GB data). The following uses the ORC intermediate table as an example to describe the command for loading data:</span><p><p id="mrs_01_2301__p181881012913"><strong id="mrs_01_2301__b17492244161317">insert into dbname.new_tablename select *</strong></p>
+<p id="mrs_01_2301__p81888121013"><strong id="mrs_01_2301__b1549418443138">from dbname. mid_tablename_orc;</strong></p>
+</p></li><li id="mrs_01_2301__li67016598344"><span>Run spark-beeline of Spark2x as the user who has created the original CarbonData table to query and verify the data in the new table. If the data is correct, change the name of the original CarbonData table and then change the name of the new CarbonData table to the name of the original one.</span><p><p id="mrs_01_2301__p8701115920344"><strong id="mrs_01_2301__b170115599345">ALTER TABLE dbname.tablename RENAME TO dbname.old_tablename;</strong></p>
+<p id="mrs_01_2301__p870111594348"><strong id="mrs_01_2301__b6701185915349">ALTER TABLE dbname.new_tablename RENAME TO dbname.tablename;</strong></p>
+</p></li><li id="mrs_01_2301__li1712319283252"><span>Complete the migration. In this case, you can use Spark2x to query the new table and rebuild the secondary index.</span></li></ol>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1405.html">CarbonData Operation Guide</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2309.html b/docs/mrs/component-operation-guide/mrs_01_2309.html
new file mode 100644
index 000000000..51bcd0416
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2309.html
@@ -0,0 +1,15 @@
+<a name="mrs_01_2309"></a><a name="mrs_01_2309"></a>
+
+<h1 class="topictitle1">Why Cannot Data Be Queried After the MapReduce Engine Is Switched After the Tez Engine Is Used to Execute Union-related Statements?</h1>
+<div id="body1600052907096"><div class="section" id="mrs_01_2309__s00057ad6e9d340e7ac85cc8cab57b5b8"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2309__ab205ccde787940e3a698bda21dcfb0b1">Hive uses the Tez engine to execute union-related statements to write data. After Hive is switched to the MapReduce engine for query, no data is found.</p>
+</div>
+<div class="section" id="mrs_01_2309__s09d91bfe41564a339cdf23a7fdda4275"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2309__a4b762bfc15934cfb99747c295dc76fe1">When Hive uses the Tez engine to execute the union-related statement, the generated output file is stored in the <strong id="mrs_01_2309__b2301349511">HIVE_UNION_SUBDIR</strong> directory. After Hive is switched back to the MapReduce engine, files in the directory are not read by default. Therefore, data in the <strong id="mrs_01_2309__b429231065117">HIVE_UNION_SUBDIR</strong> directory is not read.</p>
+<p id="mrs_01_2309__p1890511104410">In this case, you can set <strong id="mrs_01_2309__b6566172011518">mapreduce.input.fileinputformat.input.dir.recursive</strong> to <strong id="mrs_01_2309__b6136222135112">true</strong> to enable union optimization and determine whether to read data in the directory.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1752.html">Common Issues About Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2310.html b/docs/mrs/component-operation-guide/mrs_01_2310.html
new file mode 100644
index 000000000..915893c3f
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2310.html
@@ -0,0 +1,14 @@
+<a name="mrs_01_2310"></a><a name="mrs_01_2310"></a>
+
+<h1 class="topictitle1">Why Does Hive Not Support Concurrent Data Writing to the Same Table or Partition?</h1>
+<div id="body1600074149005"><div class="section" id="mrs_01_2310__s00057ad6e9d340e7ac85cc8cab57b5b8"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2310__ab205ccde787940e3a698bda21dcfb0b1">Why Does Data Inconsistency Occur When Data Is Concurrently Written to a Hive Table Through an API?</p>
+</div>
+<div class="section" id="mrs_01_2310__s09d91bfe41564a339cdf23a7fdda4275"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2310__a10b57e19335249c586b6f0b2eeb69492">Hive does not support concurrent data insertion for the same table or partition. As a result, multiple tasks perform operations on the same temporary data directory, and one task moves the data of another task, causing task data exception. The service logic is modified so that data is inserted to the same table or partition in single thread mode.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1752.html">Common Issues About Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2311.html b/docs/mrs/component-operation-guide/mrs_01_2311.html
new file mode 100644
index 000000000..282cc6869
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2311.html
@@ -0,0 +1,87 @@
+<a name="mrs_01_2311"></a><a name="mrs_01_2311"></a>
+
+<h1 class="topictitle1">Hive Materialized View</h1>
+<div id="body1600949903677"><div class="section" id="mrs_01_2311__section059850111710"><h4 class="sectiontitle">Introduction</h4><p id="mrs_01_2311__p1039381719187">A Hive materialized view is a special table obtained based on the query results of Hive internal tables. A materialized view can be considered as an intermediate table that stores actual data and occupies physical space. The tables on which a materialized view depends are called the base tables of the materialized view.</p>
+<p id="mrs_01_2311__p1139311716186">Materialized views are used to pre-compute and save the results of time-consuming operations such as table joining or aggregation. When executing a query, you can rewrite the query statement based on the base tables to the query statement based on materialized views. In this way, you do not need to perform time-consuming operations such as join and group by, thereby quickly obtaining the query result.</p>
+</div>
+<div class="note" id="mrs_01_2311__note1033293241911"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_2311__ul174322569197"><li id="mrs_01_2311__li4432145611911">A materialized view is a special table that stores actual data and occupies physical space.</li><li id="mrs_01_2311__li144321356171916">Before deleting a base table, you must delete the materialized view created based on the base table.</li><li id="mrs_01_2311__li1743211564194">The materialized view creation statement is atomic, which means that other users cannot see the materialized view until all query results are populated.</li><li id="mrs_01_2311__li174321056171912">A materialized view cannot be created based on the query results of another materialized view.</li><li id="mrs_01_2311__li343215569195">A materialized view cannot be created based on the results of a tableless query.</li><li id="mrs_01_2311__li1143265613199">You cannot insert, update, delete, load, or merge materialized views.</li><li id="mrs_01_2311__li16432656171919">You can perform complex query operations on materialized views, because they are special tables in nature.</li><li id="mrs_01_2311__li343215569192">When the data of a base table is updated, you need to manually update the materialized view. Otherwise, the materialized view will retain the old data. That is, the materialized view expires.</li><li id="mrs_01_2311__li643295681917">You can use the describe syntax to check whether the materialized view created based on ACID tables has expired.</li><li id="mrs_01_2311__li17432105651915">The describe statement cannot be used to check whether a materialized view created based on non-ACID tables has expired.</li><li id="mrs_01_2311__li1812415163221">A materialized view can store only ORC files. You can use TBLPROPERTIES ('transactional'='true') to create a transactional Hive internal table.</li></ul>
+</div></div>
+<div class="section" id="mrs_01_2311__section16112616142011"><h4 class="sectiontitle">Creating a Materialized View</h4><p id="mrs_01_2311__p1892121292118"><strong id="mrs_01_2311__b1889618312206">Syntax</strong></p>
+<pre class="screen" id="mrs_01_2311__screen137941843123917">CREATE MATERIALIZED VIEW [IF NOT EXISTS] [db_name.]materialized_view_name
+  [COMMENT materialized_view_comment]
+  DISABLE REWRITE
+    [ROW FORMAT row_format]
+    [STORED AS file_format]
+      | STORED BY 'storage.handler.class.name' [WITH SERDEPROPERTIES (...)]
+  ]
+  [LOCATION hdfs_path]
+  [TBLPROPERTIES (property_name=property_value, ...)]
+AS
+&lt;query&gt;;</pre>
+<div class="note" id="mrs_01_2311__note459105802311"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_2311__ul53921213141318"><li id="mrs_01_2311__li20392713131317">Currently, the following materialized view file formats are supported: PARQUET, TextFile, SequenceFile, RCfile, and ORC. If <strong id="mrs_01_2311__b97381537389">STORED AS</strong> is not specified in the creation statement, the default file format is ORC.</li><li id="mrs_01_2311__li82191166130">Names of materialized views must be unique in the same database. Otherwise, you cannot create a new materialized view, and data files of the original materialized view will be overwritten by the data files queried based on the base table in the new one. As a result, data may be tampered with. (After being tampered with, the materialized view can be restored by re-creating the materialized view.).</li></ul>
+</div></div>
+<p id="mrs_01_2311__p2078165642415"><strong id="mrs_01_2311__b121263818216">Cases</strong></p>
+<ol id="mrs_01_2311__ol1560418121252"><li id="mrs_01_2311__li9605181232512"><span>Log in to the Hive client and run the following command to enable the following parameters. For details, see <a href="mrs_01_0952.html">Using a Hive Client</a>.</span><p><p id="mrs_01_2311__p178661236162515"><strong id="mrs_01_2311__b1789812913471">set hive.support.concurrency=true;</strong></p>
+<p id="mrs_01_2311__p18665360254"><strong id="mrs_01_2311__b16930112924710">set hive.exec.dynamic.partition.mode=nonstrict;</strong></p>
+<p id="mrs_01_2311__p128661360257"><strong id="mrs_01_2311__b193116293475">set hive.txn.manager=org.apache.hadoop.hive.ql.lockmgr.DbTxnManager;</strong></p>
+</p></li><li id="mrs_01_2311__li19360193116255"><span>Create a base table and insert data.</span><p><pre class="screen" id="mrs_01_2311__screen14110659113915">create table tb_emp(
+empno int,ename string,job string,mgr int,hiredate TIMESTAMP,sal float,comm float,deptno int
+)stored as orc 
+tblproperties('transactional'='true');
+
+insert into tb_emp values(7369, 'SMITH', 'CLERK',7902, '1980-12-17 08:30:09',800.00,NULL,20),
+(7499, 'ALLEN', 'SALESMAN',7698, '1981-02-20 17:12:00',1600.00,300.00,30),
+(7521, 'WARD', 'SALESMAN',7698, '1981-02-22 09:05:34',1250.00,500.00,30),
+(7566, 'JONES', 'MANAGER', 7839, '1981-04-02 10:14:13',2975.00,NULL,20),
+(7654, 'MARTIN', 'SALESMAN',7698, '1981-09-28 08:36:17',1250.00,1400.00,30),
+(7698, 'BLAKE', 'MANAGER',7839, '1981-05-01 11:12:55',2850.00,NULL,30),
+(7782, 'CLARK', 'MANAGER',7839, '1981-06-09 15:45:28',2450.00,NULL,10),
+(7788, 'SCOTT', 'ANALYST',7566, '1987-04-19 14:05:34',3000.00,NULL,20),
+(7839, 'KING', 'PRESIDENT',NULL, '1981-11-17 10:18:25',5000.00,NULL,10),
+(7844, 'TURNER', 'SALESMAN',7698, '1981-09-08 09:05:34',1500.00,0.00,30),
+(7876, 'ADAMS', 'CLERK',7788, '1987-05-23 15:07:44',1100.00,NULL,20),
+(7900, 'JAMES', 'CLERK',7698, '1981-12-03 16:23:56',950.00,NULL,30),
+(7902, 'FORD', 'ANALYST',7566, '1981-12-03 08:48:17',3000.00,NULL,20),
+(7934, 'MILLER', 'CLERK',7782, '1982-01-23 11:45:29',1300.00,NULL,10);</pre>
+</p></li><li id="mrs_01_2311__li20298125819258"><span>Create a materialized view based on the results of the <strong id="mrs_01_2311__b1633934182211">tb_emp</strong> query.</span><p><pre class="screen" id="mrs_01_2311__screen1247817143405">create materialized view group_mv disable rewrite
+row format serde 'org.apache.hadoop.hive.serde2.JsonSerDe' 
+stored as textfile 
+tblproperties('mv_content'='Total compensation of each department')
+as select deptno,sum(sal) sum_sal from tb_emp group by deptno;</pre>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_2311__section196123753012"><h4 class="sectiontitle">Applying a Materialized View</h4><p id="mrs_01_2311__p162944544307">Rewrite the query statement based on base tables to the query statement based on materialized views to improve the query efficiency.</p>
+<p id="mrs_01_2311__p1910219351805"><strong id="mrs_01_2311__b34962227236">Cases</strong></p>
+<p id="mrs_01_2311__p62941754123010">Execute the following query statement:</p>
+<p id="mrs_01_2311__p329485453011"><strong id="mrs_01_2311__b362557164810">select deptno,sum(sal) from tb_emp group by deptno having sum(sal)&gt;10000;</strong></p>
+<p id="mrs_01_2311__p3294125419306">Based on the created materialized view, rewrite the query statement:</p>
+<p id="mrs_01_2311__p429425419303"><strong id="mrs_01_2311__b1499011011480">select deptno, sum_sal from group_mv where sum_sal&gt;10000;</strong></p>
+</div>
+<div class="section" id="mrs_01_2311__section1320977143114"><h4 class="sectiontitle">Checking a Materialized View</h4><p id="mrs_01_2311__p1431041818318"><strong id="mrs_01_2311__b864151162411">Syntax</strong></p>
+<p id="mrs_01_2311__p6763134344912"><strong id="mrs_01_2311__b13814218246">SHOW MATERIALIZED VIEWS [IN database_name] ['identifier_with_wildcards'];</strong></p>
+<p id="mrs_01_2311__p14763154354914"><strong id="mrs_01_2311__b12763174318493">DESCRIBE [EXTENDED | FORMATTED] [db_name.]materialized_view_name;</strong></p>
+<p id="mrs_01_2311__p15617122211329"><strong id="mrs_01_2311__b1153217303249">Cases</strong></p>
+<p id="mrs_01_2311__p96074084811"><strong id="mrs_01_2311__b397144714485">show materialized views;</strong></p>
+<p id="mrs_01_2311__p2059184054818"><strong id="mrs_01_2311__b0100114713487">describe formatted group_mv;</strong></p>
+</div>
+<div class="section" id="mrs_01_2311__section37855329331"><h4 class="sectiontitle">Deleting a Materialized View</h4><p id="mrs_01_2311__p1632118719347"><strong id="mrs_01_2311__b424412404246">Syntax</strong></p>
+<p id="mrs_01_2311__p58653219494"><strong id="mrs_01_2311__b392514614499">DROP MATERIALIZED VIEW [db_name.]materialized_view_name;</strong></p>
+<p id="mrs_01_2311__p188689513344"><strong id="mrs_01_2311__b8946144212241">Cases</strong></p>
+<p id="mrs_01_2311__p17157101614914"><strong id="mrs_01_2311__b89375209490">drop materialized view group_mv;</strong></p>
+</div>
+<div class="section" id="mrs_01_2311__section648719587351"><h4 class="sectiontitle">Rebuilding a Materialized View</h4><p id="mrs_01_2311__p777231020361">When a materialized view is created, the base table data is filled in the materialized view. However, the data that is added, deleted, or modified in the base table is not automatically synchronized to the materialized view. Therefore, you need to manually rebuild the view after updating the data.</p>
+<p id="mrs_01_2311__p6441322133613"><strong id="mrs_01_2311__b17113349255">Syntax</strong></p>
+<p id="mrs_01_2311__p9397235185016"><strong id="mrs_01_2311__b18397193565012">ALTER MATERIALIZED VIEW [db_name.]materialized_view_name REBUILD;</strong></p>
+<p id="mrs_01_2311__p1452045810363"><strong id="mrs_01_2311__b28907522256">Cases</strong></p>
+<p id="mrs_01_2311__p157263436507"><strong id="mrs_01_2311__b4726134325012">alter materialized view group_mv rebuild;</strong></p>
+<div class="note" id="mrs_01_2311__note18500812154010"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2311__p10365121919401">When the base table data is updated but the materialized view data is not updated, the materialized view is in the expired state by default.</p>
+<p id="mrs_01_2311__p20365719144018">The describe statement can be used to check whether a materialized view created based on transaction tables has expired. If the value of <strong id="mrs_01_2311__b1712304952611">Outdated for Rewriting</strong> is <strong id="mrs_01_2311__b8209052102617">Yes</strong>, the license has expired. If the value of <strong id="mrs_01_2311__b99287112714">Outdated for Rewriting</strong> is <strong id="mrs_01_2311__b397795132713">No</strong>, the license has not expired.</p>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2312.html b/docs/mrs/component-operation-guide/mrs_01_2312.html
new file mode 100644
index 000000000..7a0628f61
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2312.html
@@ -0,0 +1,81 @@
+<a name="mrs_01_2312"></a><a name="mrs_01_2312"></a>
+
+<h1 class="topictitle1">Kafka Feature Description</h1>
+<div id="body1600948520847"><div class="section" id="mrs_01_2312__section986823214710"><h4 class="sectiontitle">Kafka Idempotent Feature</h4><p id="mrs_01_2312__p419818531274">Feature description: The function of creating idempotent producers is introduced in Kafka 0.11.0.0. After this function is enabled, producers are automatically upgraded to idempotent producers. When producers send messages with the same field values, brokers automatically detect whether the messages are duplicate to avoid duplicate data. Note that this feature can only ensure idempotence in a single partition. That is, an idempotent producer can ensure that no duplicate messages exist in a partition of a topic. Only idempotence on a single session can be implemented. The session refers to the running of the producer process. That is, idempotence cannot be ensured after the producer process is restarted.</p>
+<p id="mrs_01_2312__p1819913531379">Method for enabling this feature:</p>
+<ol id="mrs_01_2312__ol151991531715"><li id="mrs_01_2312__li21999539718">Add <strong id="mrs_01_2312__b02121016103310">props.put("enable.idempotence", true)</strong> to the secondary development code.</li><li id="mrs_01_2312__li1719913531771">Add <strong id="mrs_01_2312__b191945336337">enable.idempotence = true</strong> to the client configuration file.</li></ol>
+</div>
+<div class="section" id="mrs_01_2312__section12188662818"><h4 class="sectiontitle">Kafka Transaction Feature</h4><p id="mrs_01_2312__p149129251584">Feature description: Kafka 0.11 introduces the transaction feature. The Kafka transaction feature indicates that a series of producer message production and consumer offset submission operations are in the same transaction, or are regarded as an atomic operation. Message production and offset submission succeed or fail at the same time. This feature provides transactions at the Read Committed isolation level to ensure that multiple messages are written to the target partition atomically and that the consumer can view only the transaction messages that are successfully submitted. The transaction feature of Kafka is used in the following scenarios:</p>
+<ol id="mrs_01_2312__ol5912182519817"><li id="mrs_01_2312__li1991211252082">Multiple pieces of data sent by a producer can be encapsulated in a transaction to form an atomic operation. All messages are successfully sent or fail to be sent.</li><li id="mrs_01_2312__li991222511819">read-process-write mode: Message consumption and production are encapsulated in a transaction to form an atomic operation. In a streaming application, a service usually needs to receive messages from the upstream system, process the messages, and then send the processed messages to the downstream system. This corresponds to message consumption and production.</li></ol>
+<p id="mrs_01_2312__p1891212251484">Example of secondary development code:</p>
+<pre class="screen" id="mrs_01_2312__screen12297132818144">// Initialize the configuration and enable the transaction feature.
+Properties props = new Properties();
+props.put("enable.idempotence", true);
+props.put("transactional.id", "transaction1");
+...
+
+KafkaProducer producer = new KafkaProducer&lt;String, String&gt;(props);
+
+// init transaction
+producer.initTransactions();
+try {
+	// Start a transaction.
+	producer.beginTransaction();
+	producer.send(record1);
+	producer.send(record2);
+	// Stop a transaction.
+	producer.commitTransaction();
+} catch (KafkaException e) {
+	// Abort a transaction.
+	producer.abortTransaction();
+}</pre>
+</div>
+<div class="section" id="mrs_01_2312__section191741354131917"><h4 class="sectiontitle">Nearby Consumption</h4><p id="mrs_01_2312__p19850170132020">Feature description: In versions earlier than Kafka 2.4.0, the production and consumption of the client are leader copies oriented to each partition. Follower copies are used only for data redundancy and do not provide services for external systems. As a result, the leader copy has high pressure. In addition, in cross-DC and cross-rack consumption scenarios, a large volume of data is transmitted between DCs and between racks. In Kafka 2.4.0 and later versions, the Kafka kernel can consume data from follower replicas, which greatly reduces the data transmission volume and reduces the network bandwidth pressure in cross-DC and cross-rack scenarios. The community opens the ReplicaSelector API to support this feature. By default, MRS Kafka provides two methods to use this API.</p>
+<ol id="mrs_01_2312__ol3755152182218"><li id="mrs_01_2312__li575518217223"><strong id="mrs_01_2312__b1465292803516">RackAwareReplicaSelector</strong>: indicates that replicas in the same rack are preferentially consumed (nearby consumption in a rack).</li><li id="mrs_01_2312__li16755162112218"><strong id="mrs_01_2312__b170694823515">AzAwareReplicaSelector</strong>: indicates that copies from nodes in the same AZ are preferentially consumed (nearby consumption in an AZ).</li></ol>
+<div class="p" id="mrs_01_2312__p9870185854118">The following uses <strong id="mrs_01_2312__b2069245814363">RackAwareReplicaSelector</strong> as an example to describe how to consume the closest replica.<pre class="screen" id="mrs_01_2312__screen541817317432">public class RackAwareReplicaSelector implements ReplicaSelector {
+
+    @Override
+    public Optional&lt;ReplicaView&gt; select(TopicPartition topicPartition,
+                                        ClientMetadata clientMetadata,
+                                        PartitionView partitionView) {
+        if (clientMetadata.rackId() != null &amp;&amp; !clientMetadata.rackId().isEmpty()) {
+            Set&lt;ReplicaView&gt; sameRackReplicas = partitionView.replicas().stream()
+                    // Filter the replicas that are in the same rack as the client.
+                    .filter(replicaInfo -&gt; clientMetadata.rackId().equals(replicaInfo.endpoint().rack()))
+                    .collect(Collectors.toSet());
+            if (sameRackReplicas.isEmpty()) {
+                // If no replicas are in the same rack as the client, the leader replica is returned.
+                return Optional.of(partitionView.leader());
+            } else {
+                // It shows that a replica that is in the same rack as the client exists.
+                if (sameRackReplicas.contains(partitionView.leader())) {
+                    // If the client and the leader replica are in the same rack, the leader replica returns first.
+                    return Optional.of(partitionView.leader());
+                } else {
+                    // Otherwise, the latest replica synchronized with the leader is returned.
+                    return sameRackReplicas.stream().max(ReplicaView.comparator());
+                }
+            }
+        } else {
+            // If the rack information is not contained in the client request, the leader replica is returned first.
+            return Optional.of(partitionView.leader());
+        }
+    }
+}</pre>
+</div>
+<p id="mrs_01_2312__p1092452632813">Method for enabling this feature:</p>
+<ol id="mrs_01_2312__ol19411612162515"><li id="mrs_01_2312__li144151242512">Server: Update the <strong id="mrs_01_2312__b137385614819">replica.selector.class</strong> configuration item based on different features.<ul id="mrs_01_2312__ul9937122563113"><li id="mrs_01_2312__li12937125153116">To enable "nearby consumption in a rack", set this parameter to <strong id="mrs_01_2312__b6241111074913">org.apache.kafka.common.replica.RackAwareReplicaSelector</strong>.</li><li id="mrs_01_2312__li823512283215">To enable "nearby consumption in an AZ", set this parameter to <strong id="mrs_01_2312__b98861134105017">org.apache.kafka.common.replica.AzAwareReplicaSelector</strong>.</li></ul>
+</li><li id="mrs_01_2312__li11141193520254">Client: Add the <strong id="mrs_01_2312__b13299519205317">client.rack</strong> configuration item to the <strong id="mrs_01_2312__b18441025145315">consumer.properties</strong> file in the <em id="mrs_01_2312__i144201323115413">{Client installation directory}</em><strong id="mrs_01_2312__b174451626185413">/Kafka/kafka/config</strong> directory.<ul id="mrs_01_2312__ul62321355193318"><li id="mrs_01_2312__li2023215519332">If the "nearby consumption in a rack" is enabled on the server, add the information about the rack where the client is located, for example, <strong id="mrs_01_2312__b105503364556">client.rack = /default0/rack1</strong>.</li><li id="mrs_01_2312__li1069112133511">If the "nearby consumption in an AZ" is enabled on the server, add the information about the rack where the client is located, for example, <strong id="mrs_01_2312__b116811538185517">client.rack = /AZ1/rack1</strong>.</li></ul>
+</li></ol>
+</div>
+<div class="section" id="mrs_01_2312__section969855817123"><h4 class="sectiontitle">Ranger Unified Authentication</h4><p id="mrs_01_2312__p29286015131">Feature description: In versions earlier than Kafka 2.4.0, Kafka supports only the SimpleAclAuthorizer authentication plugin provided by the community. In Kafka 2.4.0 and later versions, MRS Kafka supports both the Ranger authentication plugin and the authentication plugin provided by the community. Ranger authentication is used by default. Based on the Ranger authentication plugin, fine-grained Kafka ACL management can be performed.</p>
+<div class="note" id="mrs_01_2312__note1267537112017"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2312__p42675374209">If the Ranger authentication plugin is used on the server and <strong id="mrs_01_2312__b97791293572">allow.everyone.if.no.acl.found</strong> is set to <strong id="mrs_01_2312__b13895512185712">true</strong>, all actions are allowed when a non-secure port is used for access. You are advised to disable <strong id="mrs_01_2312__b8123101155819">allow.everyone.if.no.acl.found</strong> for security clusters that use the Ranger authentication plugin.</p>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0375.html">Using Kafka</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2317.html b/docs/mrs/component-operation-guide/mrs_01_2317.html
new file mode 100644
index 000000000..06da9e1be
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2317.html
@@ -0,0 +1,23 @@
+<a name="mrs_01_2317"></a><a name="mrs_01_2317"></a>
+
+<h1 class="topictitle1">Adapting to the Third-party JDK When Ranger Is Used</h1>
+<div id="body1601024181827"><div class="section" id="mrs_01_2317__section10411113113617"><h4 class="sectiontitle">Scenarios</h4><p id="mrs_01_2317__p10893165811599">When Ranger is used as the permission management service of Spark SQL, the certificate in the cluster is required for accessing RangerAdmin. If you use a third-party JDK instead of the JDK or JRE in the cluster, RangerAdmin fails to be accessed. As a result, the Spark application fails to be started.</p>
+<p id="mrs_01_2317__p198494765817">In this scenario, you need to perform the following operations to import the certificate in the cluster to the third-party JDK or JRE.</p>
+</div>
+<div class="section" id="mrs_01_2317__section733135635616"><h4 class="sectiontitle">Configuration Method</h4><ol id="mrs_01_2317__ol468712267618"><li id="mrs_01_2317__li1868718267616"><a name="mrs_01_2317__li1868718267616"></a><a name="li1868718267616"></a><span>Run the following command to export the certificate from the cluster:</span><p><ol type="a" id="mrs_01_2317__ol169795441279"><li id="mrs_01_2317__li69797440713">Install the cluster client. Assume that the installation path is <strong id="mrs_01_2317__b1082765311205">/opt</strong><strong id="mrs_01_2317__b1082795310207"></strong><strong id="mrs_01_2317__b78271453102012">/client</strong>.</li><li id="mrs_01_2317__li1273336486">Run the following command to go to the client installation directory.<p id="mrs_01_2317__p157311361288"><a name="mrs_01_2317__li1273336486"></a><a name="li1273336486"></a><strong id="mrs_01_2317__b37313613815">cd /opt/client</strong></p>
+</li><li id="mrs_01_2317__li10731336784">Run the following command to configure environment variables:<p id="mrs_01_2317__p19731364818"><a name="mrs_01_2317__li10731336784"></a><a name="li10731336784"></a><strong id="mrs_01_2317__b19731336487">source bigdata_env</strong></p>
+</li><li id="mrs_01_2317__li7493449687">Generate the certificate file.<p id="mrs_01_2317__p6704956594"><a name="mrs_01_2317__li7493449687"></a><a name="li7493449687"></a><strong id="mrs_01_2317__b156382525911">keytool -export -alias fusioninsightsubroot -storepass changeit -keystore /opt/client/JRE/jre/lib/security/cacerts -file fusioninsightsubroot.crt</strong></p>
+</li></ol>
+</p></li><li id="mrs_01_2317__li103351561370"><span>Import the certificate in the cluster to the third-party JDK or JRE.</span><p><p id="mrs_01_2317__p2029033951318">Copy the <strong id="mrs_01_2317__b11842691668">fusioninsightsubroot.crt</strong> file generated in <a href="#mrs_01_2317__li1868718267616">1</a> to the third-party JRE node, set the <strong id="mrs_01_2317__b19930221266">JAVA_HOME</strong> environment variable of the node, and run the following command to import the certificate:</p>
+<p id="mrs_01_2317__p9113412191418"><strong id="mrs_01_2317__b8310415121417">keytool -import -trustcacerts -alias fusioninsightsubroot -storepass changeit -file fusioninsightsubroot.crt -keystore MY_JRE/lib/security/cacerts</strong></p>
+<div class="note" id="mrs_01_2317__note268220510190"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2317__p10683165171913"><strong id="mrs_01_2317__b9641628115715">MY_JRE</strong> indicates the installation path of the third-party JRE. Change it based on the site requirements.</p>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1928.html">Basic Operation</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2325.html b/docs/mrs/component-operation-guide/mrs_01_2325.html
new file mode 100644
index 000000000..864012833
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2325.html
@@ -0,0 +1,14 @@
+<a name="mrs_01_2325"></a><a name="mrs_01_2325"></a>
+
+<h1 class="topictitle1">Why Does Hive Not Support Vectorized Query?</h1>
+<div id="body1601117284610"><div class="section" id="mrs_01_2325__s00057ad6e9d340e7ac85cc8cab57b5b8"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2325__ab205ccde787940e3a698bda21dcfb0b1">When the vectorized parameter<strong id="mrs_01_2325__b38606452322"> hive.vectorized.execution.enabled</strong> is set to <strong id="mrs_01_2325__b18232125003210">true</strong>, why do some null pointers or type conversion exceptions occur occasionally when Hive on Tez/MapReduce/Spark is executed?</p>
+</div>
+<div class="section" id="mrs_01_2325__s09d91bfe41564a339cdf23a7fdda4275"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2325__a10b57e19335249c586b6f0b2eeb69492">Currently, Hive does not support vectorized execution. Many community issues are introduced during vectorized execution and are not resolved stably. The default value of <strong id="mrs_01_2325__b34334222340">hive.vectorized.execution.enabled</strong> is <strong id="mrs_01_2325__b17661172614340">false</strong>. You are advised not to set this parameter to <strong id="mrs_01_2325__b114821841123417">true</strong>.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1752.html">Common Issues About Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2330.html b/docs/mrs/component-operation-guide/mrs_01_2330.html
new file mode 100644
index 000000000..e99ae0123
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2330.html
@@ -0,0 +1,62 @@
+<a name="mrs_01_2330"></a><a name="mrs_01_2330"></a>
+
+<h1 class="topictitle1">Hive SQL</h1>
+<div id="body32001227"><p id="mrs_01_2330__en-us_topic_0263894577_p48701244">Hive SQL supports all features of Hive-<span id="mrs_01_2330__en-us_topic_0263894577_text5019438691856">3.1.0</span>. For details, see <a href="https://cwiki.apache.org/confluence/display/hive/languagemanual" target="_blank" rel="noopener noreferrer">https://cwiki.apache.org/confluence/display/hive/languagemanual</a>.</p>
+<p id="mrs_01_2330__en-us_topic_0263894577_p35658012"><a href="#mrs_01_2330__en-us_topic_0263894577_tab1">Table 1</a> describes the extended Hive statements provided by .</p>
+
+<div class="tablenoborder"><a name="mrs_01_2330__en-us_topic_0263894577_tab1"></a><a name="en-us_topic_0263894577_tab1"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2330__en-us_topic_0263894577_tab1" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Extended Hive statements</caption><thead align="left"><tr id="mrs_01_2330__en-us_topic_0263894577_row1132111"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.3.2.5.1.1"><p id="mrs_01_2330__en-us_topic_0263894577_p24592149">Extended Syntax</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.3.2.5.1.2"><p id="mrs_01_2330__en-us_topic_0263894577_p45807089">Syntax Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.3.2.5.1.3"><p id="mrs_01_2330__en-us_topic_0263894577_p19386696">Syntax Example</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.3.2.5.1.4"><p id="mrs_01_2330__en-us_topic_0263894577_p26818564">Example Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2330__en-us_topic_0263894577_row24820109"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.5.1.1 "><p id="mrs_01_2330__en-us_topic_0263894577_p64271818">CREATE [TEMPORARY] [EXTERNAL] TABLE [IF NOT EXISTS] [db_name.]table_name (col_name data_type [COMMENT col_comment], ...) [ROW FORMAT row_format] [STORED AS file_format] | STORED BY 'storage.handler.class.name' [WITH SERDEPROPERTIES (...) ] ...... [TBLPROPERTIES ("groupId"=" group1 ","locatorId"="locator1")] ...;</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.5.1.2 "><p id="mrs_01_2330__en-us_topic_0263894577_p38634788">The statement is used to create a Hive table and specify locators on which table data files locate. For details, see <a href="mrs_01_0953.html">Using HDFS Colocation to Store Hive Tables</a>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.5.1.3 "><p id="mrs_01_2330__en-us_topic_0263894577_p46146710">CREATE TABLE tab1 (id INT, name STRING) row format delimited fields terminated by '\t' stored as RCFILE TBLPROPERTIES("groupId"=" group1 ","locatorId"="locator1");</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.5.1.4 "><p id="mrs_01_2330__en-us_topic_0263894577_p46896054">The statement is used to create table <strong id="mrs_01_2330__en-us_topic_0263894577_b192661110154512">tab1</strong> and specify locator1 on which the table data of <strong id="mrs_01_2330__en-us_topic_0263894577_b92721610194518">tab1</strong> locates.</p>
+</td>
+</tr>
+<tr id="mrs_01_2330__en-us_topic_0263894577_row19411308"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.5.1.1 "><p id="mrs_01_2330__en-us_topic_0263894577_p28812104">CREATE [TEMPORARY] [EXTERNAL] TABLE [IF NOT EXISTS] [db_name.]table_name    (col_name data_type [COMMENT col_comment], ...)   [ROW FORMAT row_format]      [STORED AS file_format] | STORED BY 'storage.handler.class.name' [WITH SERDEPROPERTIES (...) ]  ... [TBLPROPERTIES (<strong id="mrs_01_2330__en-us_topic_0263894577_b57982344">'column.encode.columns'</strong>='col_name1,col_name2'| '<strong id="mrs_01_2330__en-us_topic_0263894577_b52079048">column.encode.indices</strong>'='col_id1,col_id2', <strong id="mrs_01_2330__en-us_topic_0263894577_b66058249">'column.encode.classname'</strong>='encode_classname')]...;</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.5.1.2 "><p id="mrs_01_2330__en-us_topic_0263894577_p49117947">The statement is used to create a hive table and specify the table encryption column and encryption algorithm. For details, see <a href="mrs_01_0954.html">Using the Hive Column Encryption Function</a>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.5.1.3 "><p id="mrs_01_2330__en-us_topic_0263894577_p37959091">create table encode_test(id INT, name STRING, phone STRING, address STRING) ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe' WITH SERDEPROPERTIES ('column.encode.indices'='2,3', 'column.encode.classname'='org.apache.hadoop.hive.serde2.SMS4Rewriter') STORED AS TEXTFILE;</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.5.1.4 "><p id="mrs_01_2330__en-us_topic_0263894577_p54787541">The statement is used to create table <strong id="mrs_01_2330__en-us_topic_0263894577_b480211816494">encode_test</strong> and specify that column 2 and column 3 will be encrypted using the <strong id="mrs_01_2330__en-us_topic_0263894577_b17803418114912">org.apache.hadoop.hive.serde2.SMS4Rewriter</strong> encryption algorithm class during data insertion.</p>
+</td>
+</tr>
+<tr id="mrs_01_2330__en-us_topic_0263894577_row23325828"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.5.1.1 "><p id="mrs_01_2330__en-us_topic_0263894577_p10343879">REMOVE TABLE <em id="mrs_01_2330__en-us_topic_0263894577_i25986055">hbase_tablename</em> [WHERE where_condition];</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.5.1.2 "><p id="mrs_01_2330__en-us_topic_0263894577_p61925061205326">The statement is used to delete data that meets criteria from the Hive on HBase table. For details, see <a href="mrs_01_0956.html">Deleting Single-Row Records from Hive on HBase</a>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.5.1.3 "><p id="mrs_01_2330__en-us_topic_0263894577_p6421510">remove table hbase_table1 where id = 1;</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.5.1.4 "><p id="mrs_01_2330__en-us_topic_0263894577_p50380316">The statement is used to delete data that meets the criterion of "id = 1" from the table.</p>
+</td>
+</tr>
+<tr id="mrs_01_2330__en-us_topic_0263894577_row50769665"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.5.1.1 "><p id="mrs_01_2330__en-us_topic_0263894577_p18702178">CREATE [TEMPORARY] [EXTERNAL] TABLE [IF NOT EXISTS] [db_name.]table_name  (col_name data_type [COMMENT col_comment], ...) [ROW FORMAT row_format] <strong id="mrs_01_2330__en-us_topic_0263894577_b34101881">STORED AS inputformat 'org.apache.hadoop.hive.contrib.fileformat.SpecifiedDelimiterInputFormat'</strong> outputformat 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat';</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.5.1.2 "><p id="mrs_01_2330__en-us_topic_0263894577_p10789009">The statement is used to create a hive table and specify that the table supports customized row delimiters. For details, see <a href="mrs_01_0955.html">Customizing Row Separators</a>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.5.1.3 "><p id="mrs_01_2330__en-us_topic_0263894577_p13450690">create table blu(time string,     num string, msg string) row format delimited fields terminated by ',' <strong id="mrs_01_2330__en-us_topic_0263894577_b53947353">stored as inputformat 'org.apache.hadoop.hive.contrib.fileformat.SpecifiedDelimiterInputFormat'</strong> outputformat 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat';</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.3.2.5.1.4 "><p id="mrs_01_2330__en-us_topic_0263894577_p7659482">The statement is used to create table <strong id="mrs_01_2330__en-us_topic_0263894577_b93855604911100">blu</strong> and set <strong id="mrs_01_2330__en-us_topic_0263894577_b198024684711100">inputformat</strong> to <strong id="mrs_01_2330__en-us_topic_0263894577_b99448478811100">SpecifiedDelimiterInputFormat</strong> so that the query row delimiter can be specified during the query.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2340.html b/docs/mrs/component-operation-guide/mrs_01_2340.html
new file mode 100644
index 000000000..e0b317fba
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@@ -0,0 +1,19 @@
+<a name="mrs_01_2340"></a><a name="mrs_01_2340"></a>
+
+<h1 class="topictitle1">Why Do I Fail to Create a Table in the Specified Location on OBS After Logging to spark-beeline?</h1>
+<div id="body1603712656806"><div class="section" id="mrs_01_2340__section1736444285213"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2340__p1344618763">When the OBS ECS/BMS image cluster is connected, after spark-beeline is logged in, an error is reported when a location is specified to create a table on OBS.</p>
+<div class="fignone" id="mrs_01_2340__fig964608112217"><span class="figcap"><b>Figure 1 </b>Error message</span><br><span><img id="mrs_01_2340__image113281322164619" src="en-us_image_0000001349090021.png"></span></div>
+</div>
+<div class="section" id="mrs_01_2340__section1019117462059"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2340__p117732517816">The permission on the <strong id="mrs_01_2340__b288641061216">ssl.jceks</strong> file in HDFS is insufficient. As a result, the table fails to be created.</p>
+<p id="mrs_01_2340__p1736183217587"><span><img id="mrs_01_2340__image313863385812" src="en-us_image_0000001387912132.png"></span></p>
+</div>
+<div class="section" id="mrs_01_2340__en-us_topic_0165586151_section104561250183516"><h4 class="sectiontitle">Solution</h4><ol id="mrs_01_2340__ol15326172678"><li id="mrs_01_2340__li15326423712">Log in to the node where Spark2x resides as user <strong id="mrs_01_2340__b3537133141214">omm</strong> and run the following command:<p id="mrs_01_2340__p267922514454"><strong id="mrs_01_2340__b11527124584512">vi ${BIGDATA_HOME}/FusionInsight_Spark2x_<span id="mrs_01_2340__text20959814164114">8.1.0.1</span>/install/FusionInsight-Spark2x-<span id="mrs_01_2340__text5563355171417">3.1.1</span>/spark/sbin/fake_prestart.sh</strong></p>
+</li><li id="mrs_01_2340__li3326621973">Change <strong id="mrs_01_2340__b10342102713241">eval "${hdfsCmd}" -chmod 600 "${InnerHdfsDir}"/ssl.jceks &gt;&gt; "${PRESTART_LOG}" 2&gt;&amp;1</strong> to <strong id="mrs_01_2340__b751319384246">eval "${hdfsCmd}" -chmod 644 "${InnerHdfsDir}"/ssl.jceks &gt;&gt; "${PRESTART_LOG}" 2&gt;&amp;1</strong>.</li><li id="mrs_01_2340__li11855131217714">Restart the SparkResource instance.</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2002.html">Common Issues About Spark2x</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2343.html b/docs/mrs/component-operation-guide/mrs_01_2343.html
new file mode 100644
index 000000000..ccbf21b6f
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+++ b/docs/mrs/component-operation-guide/mrs_01_2343.html
@@ -0,0 +1,19 @@
+<a name="mrs_01_2343"></a><a name="mrs_01_2343"></a>
+
+<h1 class="topictitle1">Why Does Metadata Still Exist When the HDFS Data Directory of the Hive Table Is Deleted by Mistake?</h1>
+<div id="body1603976427287"><div class="section" id="mrs_01_2343__section12979818272"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2343__p91971156125913">The HDFS data directory of the Hive table is deleted by mistake, but the metadata still exists. As a result, an error is reported during task execution.</p>
+</div>
+<div class="section" id="mrs_01_2343__section6343121132713"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2343__p18907659217">This is a exception caused by misoperation. You need to manually delete the metadata of the corresponding table and try again.</p>
+<p id="mrs_01_2343__p881712181710">Example:</p>
+<p id="mrs_01_2343__p1981719163413">Run the following command to go to the console:</p>
+<p id="mrs_01_2343__p1022710493158"><strong id="mrs_01_2343__b82703238346">source ${BIGDATA_HOME}/FusionInsight_BASE_<span id="mrs_01_2343__text649410401218">8.1.0.1</span>/install/FusionInsight-dbservice-2.7.0/.dbservice_profile</strong></p>
+<p id="mrs_01_2343__p202271649141513"><strong id="mrs_01_2343__b627662310347">gsql -p 20051 -U hive -d hivemeta -W HiveUser@</strong></p>
+<p id="mrs_01_2343__p943451817172">Run the <strong id="mrs_01_2343__b18335152614348">delete from tbls where tbl_id='xxx';</strong> command.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1752.html">Common Issues About Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2344.html b/docs/mrs/component-operation-guide/mrs_01_2344.html
new file mode 100644
index 000000000..16f29a765
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+++ b/docs/mrs/component-operation-guide/mrs_01_2344.html
@@ -0,0 +1,25 @@
+<a name="mrs_01_2344"></a><a name="mrs_01_2344"></a>
+
+<h1 class="topictitle1">Using ClickHouse</h1>
+<div id="body1604391372177"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_2345.html">Using ClickHouse from Scratch</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24105.html">ClickHouse Table Engine Overview</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2398.html">Creating a ClickHouse Table</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24199.html">Common ClickHouse SQL Syntax</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24250.html">Migrating ClickHouse Data</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24251.html">User Management and Authentication</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24292.html">Backing Up and Restoring ClickHouse Data Using a Data File</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_2399.html">ClickHouse Log Overview</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2345.html b/docs/mrs/component-operation-guide/mrs_01_2345.html
new file mode 100644
index 000000000..42c2bd683
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+++ b/docs/mrs/component-operation-guide/mrs_01_2345.html
@@ -0,0 +1,139 @@
+<a name="mrs_01_2345"></a><a name="mrs_01_2345"></a>
+
+<h1 class="topictitle1">Using ClickHouse from Scratch</h1>
+<div id="body1604391372180"><p id="mrs_01_2345__p60515119">ClickHouse is a column-based database oriented to online analysis and processing. It supports SQL query and provides good query performance. The aggregation analysis and query performance based on large and wide tables is excellent, which is one order of magnitude faster than other analytical databases.</p>
+<div class="section" id="mrs_01_2345__section19493164011271"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_2345__p1797113171213">You have installed the client, for example, in the <strong id="mrs_01_2345__b333512265199">/opt/hadoopclient</strong> directory. The client directory in the following operations is only an example. Change it to the actual installation directory. Before using the client, download and update the client configuration file, and ensure that the active management node of Manager is available.</p>
+</div>
+<div class="section" id="mrs_01_2345__section10873172642318"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_2345__ol11471534103911"><li id="mrs_01_2345__li10269200102512"><span>Log in to the node where the client is installed as the client installation user.</span></li><li id="mrs_01_2345__li4269903251"><span>Run the following command to go to the client installation directory:</span><p><p id="mrs_01_2345__p1526916017259"><strong id="mrs_01_2345__b426990122515">cd /opt/hadoopclient</strong></p>
+</p></li><li id="mrs_01_2345__li172699012517"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_2345__p172694017259"><strong id="mrs_01_2345__b16269180122520">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_2345__li1910333418475"><span>If Kerberos authentication is enabled for the current cluster, run the following command to authenticate the current user. The current user must have the permission to create ClickHouse tables. If Kerberos authentication is disabled for the current cluster, skip this step.</span><p><ol type="a" id="mrs_01_2345__ol105001049105617"><li id="mrs_01_2345__li548233014217">Run the following command if it is an MRS 3.1.0 cluster:<p id="mrs_01_2345__p19505331423"><a name="mrs_01_2345__li548233014217"></a><a name="li548233014217"></a><strong id="mrs_01_2345__b5766124418552">export  CLICKHOUSE_SECURITY_ENABLED=true</strong></p>
+</li><li id="mrs_01_2345__li89311551185611"><strong id="mrs_01_2345__b138092211013">kinit</strong> <em id="mrs_01_2345__i1338116224014">Component service user</em><p id="mrs_01_2345__p23600116552">Example: <strong id="mrs_01_2345__b5415656172418">kinit clickhouseuser</strong></p>
+</li></ol>
+</p></li><li id="mrs_01_2345__li4140746493"><span>Run the client command of the ClickHouse component.</span><p><p id="mrs_01_2345__p810916801">Run the <strong id="mrs_01_2345__b12230959202120">clickhouse -h</strong> command to view the command help of ClickHouse.</p>
+<p id="mrs_01_2345__p7654143617221">The command output is as follows:</p>
+<pre class="screen" id="mrs_01_2345__screen7455131342216">Use one of the following commands:
+clickhouse local [args] 
+clickhouse client [args] 
+clickhouse benchmark [args] 
+clickhouse server [args] 
+clickhouse performance-test [args] 
+clickhouse extract-from-config [args] 
+clickhouse compressor [args] 
+clickhouse format [args] 
+clickhouse copier [args] 
+clickhouse obfuscator [args]
+...</pre>
+<p id="mrs_01_2345__p5413219205">Run the <strong id="mrs_01_2345__b5876333141">clickhouse client</strong> command to connect to the ClickHouse serverif MRS 3.1.0 or later.</p>
+<ul id="mrs_01_2345__ul14596144004313"><li id="mrs_01_2345__li8264734203213">Command for using SSL to log in to a ClickHouse cluster with Kerberos authentication disabled<p id="mrs_01_2345__p32645349321"><a name="mrs_01_2345__li8264734203213"></a><a name="li8264734203213"></a><strong id="mrs_01_2345__b726413418329">clickhouse client --host </strong><em id="mrs_01_2345__i102642344327">IP address of the ClickHouse instance</em><strong id="mrs_01_2345__b3264103463212">--user </strong><em id="mrs_01_2345__i5264123412328">Username</em><strong id="mrs_01_2345__b1726473414323"> --password</strong><strong id="mrs_01_2345__b22644349320"> --port </strong>9440 <strong id="mrs_01_2345__b102651734153220">--secure</strong></p>
+<p id="mrs_01_2345__p433157193319"><em id="mrs_01_2345__i18827480348">Enter the user password.</em></p>
+</li></ul>
+<ul id="mrs_01_2345__ul4226164219439"><li id="mrs_01_2345__li11226942134315">Using SSL for login when Kerberos authentication is enabled for the current cluster:<p id="mrs_01_2345__p16251311718"><a name="mrs_01_2345__li11226942134315"></a><a name="li11226942134315"></a>You must create a user on Manager because there is no default user.</p>
+<p id="mrs_01_2345__p19768858465">After the user authentication is successful, you do not need to carry the <strong id="mrs_01_2345__b1076732417325">--user</strong> and <strong id="mrs_01_2345__b207681124193211">--password</strong> parameters when logging in to the client as the authenticated user.</p>
+<p id="mrs_01_2345__p676815581061"><strong id="mrs_01_2345__b18768155811613">clickhouse client --host </strong><em id="mrs_01_2345__i1876820581565">IP address of the ClickHouse instance</em><strong id="mrs_01_2345__b15768158168"> --port </strong>9440 <strong id="mrs_01_2345__b1676811581064">--secure</strong></p>
+<p id="mrs_01_2345__p320316519213">The following table describes the parameters of the <strong id="mrs_01_2345__b338016219179">clickhouse client</strong> command.</p>
+</li></ul>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2345__table119111511421" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters of the <strong id="mrs_01_2345__b1336617718159">clickhouse client</strong> command</caption><thead align="left"><tr id="mrs_01_2345__row20911551726"><th align="left" class="cellrowborder" valign="top" width="17.4%" id="mcps1.3.3.2.5.2.7.2.3.1.1"><p id="mrs_01_2345__p139119514212">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="82.6%" id="mcps1.3.3.2.5.2.7.2.3.1.2"><p id="mrs_01_2345__p69113512213">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2345__row109120510213"><td class="cellrowborder" valign="top" width="17.4%" headers="mcps1.3.3.2.5.2.7.2.3.1.1 "><p id="mrs_01_2345__p149129515210">--host</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.6%" headers="mcps1.3.3.2.5.2.7.2.3.1.2 "><p id="mrs_01_2345__p391265116215">Host name of the server. The default value is <strong id="mrs_01_2345__b1478972055616">localhost</strong>. You can use the host name or IP address of the node where the ClickHouse instance is located.</p>
+<div class="note" id="mrs_01_2345__note1375961741617"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_2345__p8386192542315">You can log in to FusionInsight Manager and choose <strong id="mrs_01_2345__b1792453918358">Cluster</strong> &gt; <strong id="mrs_01_2345__b1692523993511">Services</strong> &gt; <strong id="mrs_01_2345__b992623983513">ClickHouse</strong> &gt; <strong id="mrs_01_2345__b1892643910358">Instance</strong> to obtain the service IP address of the ClickHouseServer instance.</p>
+</div></div>
+</td>
+</tr>
+<tr id="mrs_01_2345__row16912115113219"><td class="cellrowborder" valign="top" width="17.4%" headers="mcps1.3.3.2.5.2.7.2.3.1.1 "><p id="mrs_01_2345__p6912135116212">--port</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.6%" headers="mcps1.3.3.2.5.2.7.2.3.1.2 "><p id="mrs_01_2345__p14912155110214">Port for connection.</p>
+<ul id="mrs_01_2345__ul591217510216"><li id="mrs_01_2345__li591214518214">If the SSL security connection is used, the default port number is <strong id="mrs_01_2345__b44303742324930">9440</strong>, the parameter <strong id="mrs_01_2345__b20983564724930">--secure</strong> must be carried. For details about the port number, search for the <span class="parmname" id="mrs_01_2345__parmname155751648123819"><b>tcp_port_secure</b></span> parameter in the ClickHouseServer instance configuration.</li><li id="mrs_01_2345__li14912155111219">If non-SSL security connection is used, the default port number is <strong id="mrs_01_2345__b45734768724930">9000</strong>, the parameter <strong id="mrs_01_2345__b203335843724930">--secure</strong> does not need to be carried. For details about the port number, search for the <strong id="mrs_01_2345__b6203392054">tcp_port</strong> parameter in the ClickHouseServer instance configuration.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_2345__row69122514219"><td class="cellrowborder" valign="top" width="17.4%" headers="mcps1.3.3.2.5.2.7.2.3.1.1 "><p id="mrs_01_2345__p891210511522">--user</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.6%" headers="mcps1.3.3.2.5.2.7.2.3.1.2 "><p id="mrs_01_2345__p209121751323">Username.</p>
+<p id="mrs_01_2345__p119121251324">You can create the user on Manager and bind a role to the user.</p>
+<ul id="mrs_01_2345__ul189139517212"><li id="mrs_01_2345__li129135511823">If Kerberos authentication is enabled for the current cluster and the user authentication is successful, you do not need to carry the <strong id="mrs_01_2345__b115325324715">--user</strong> and <strong id="mrs_01_2345__b13832195614473">--password</strong> parameters when logging in to the client as the authenticated user. You must create a user with this name on Manager because there is no default user in the Kerberos cluster scenario.</li><li id="mrs_01_2345__li1991355118219">If Kerberos authentication is not enabled for the current cluster, you can specify a user and its password created on Manager when logging in to the client. If the user and password parameters are not carried, user <strong id="mrs_01_2345__b1950520185716">default</strong> is used for login by default.<p id="mrs_01_2345__p5542613182515">The user in normal mode (Kerberos authentication disabled) is the default user, or you can create an administrator using the open source capability provided by the ClickHouse community. You cannot use the users created on FusionInsight Manager.</p>
+</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_2345__row8913175113212"><td class="cellrowborder" valign="top" width="17.4%" headers="mcps1.3.3.2.5.2.7.2.3.1.1 "><p id="mrs_01_2345__p891375117214">--password</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.6%" headers="mcps1.3.3.2.5.2.7.2.3.1.2 "><p id="mrs_01_2345__p16922351923">Password. The default password is an empty string. This parameter is used together with the <strong id="mrs_01_2345__b630883965320">--user</strong> parameter. You can set a password when creating a user on Manager.</p>
+</td>
+</tr>
+<tr id="mrs_01_2345__row1092265118219"><td class="cellrowborder" valign="top" width="17.4%" headers="mcps1.3.3.2.5.2.7.2.3.1.1 "><p id="mrs_01_2345__p119225512214">--query</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.6%" headers="mcps1.3.3.2.5.2.7.2.3.1.2 "><p id="mrs_01_2345__p179223516217">Query to process when using non-interactive mode.</p>
+</td>
+</tr>
+<tr id="mrs_01_2345__row1592217511225"><td class="cellrowborder" valign="top" width="17.4%" headers="mcps1.3.3.2.5.2.7.2.3.1.1 "><p id="mrs_01_2345__p19221551421">--database</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.6%" headers="mcps1.3.3.2.5.2.7.2.3.1.2 "><p id="mrs_01_2345__p8922151827">Current default database. The default value is <strong id="mrs_01_2345__b1397432910355">default</strong>, which is the default configuration on the server.</p>
+</td>
+</tr>
+<tr id="mrs_01_2345__row6922115116212"><td class="cellrowborder" valign="top" width="17.4%" headers="mcps1.3.3.2.5.2.7.2.3.1.1 "><p id="mrs_01_2345__p199224511022">--multiline</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.6%" headers="mcps1.3.3.2.5.2.7.2.3.1.2 "><p id="mrs_01_2345__p1092220511625">If this parameter is specified, multiline queries are allowed. (<strong id="mrs_01_2345__b1579724834019">Enter</strong> only indicates line feed and does not indicate that the query statement is complete.)</p>
+</td>
+</tr>
+<tr id="mrs_01_2345__row1992245115217"><td class="cellrowborder" valign="top" width="17.4%" headers="mcps1.3.3.2.5.2.7.2.3.1.1 "><p id="mrs_01_2345__p49236511726">--multiquery</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.6%" headers="mcps1.3.3.2.5.2.7.2.3.1.2 "><p id="mrs_01_2345__p15923251226">If this parameter is specified, multiple queries separated with semicolons (;) can be processed. This parameter is valid only in non-interactive mode.</p>
+</td>
+</tr>
+<tr id="mrs_01_2345__row1792314519216"><td class="cellrowborder" valign="top" width="17.4%" headers="mcps1.3.3.2.5.2.7.2.3.1.1 "><p id="mrs_01_2345__p1192320511621">--format</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.6%" headers="mcps1.3.3.2.5.2.7.2.3.1.2 "><p id="mrs_01_2345__p1192314511221">Specified default format used to output the result.</p>
+</td>
+</tr>
+<tr id="mrs_01_2345__row99236515210"><td class="cellrowborder" valign="top" width="17.4%" headers="mcps1.3.3.2.5.2.7.2.3.1.1 "><p id="mrs_01_2345__p392311512214">--vertical</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.6%" headers="mcps1.3.3.2.5.2.7.2.3.1.2 "><p id="mrs_01_2345__p13923851528">If this parameter is specified, the result is output in vertical format by default. In this format, each value is printed on a separate line, which helps to display a wide table.</p>
+</td>
+</tr>
+<tr id="mrs_01_2345__row1923105118211"><td class="cellrowborder" valign="top" width="17.4%" headers="mcps1.3.3.2.5.2.7.2.3.1.1 "><p id="mrs_01_2345__p69239516220">--time</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.6%" headers="mcps1.3.3.2.5.2.7.2.3.1.2 "><p id="mrs_01_2345__p14923251123">If this parameter is specified, the query execution time is printed to <strong id="mrs_01_2345__b740611214012">stderr</strong> in non-interactive mode.</p>
+</td>
+</tr>
+<tr id="mrs_01_2345__row1292318515213"><td class="cellrowborder" valign="top" width="17.4%" headers="mcps1.3.3.2.5.2.7.2.3.1.1 "><p id="mrs_01_2345__p15923185117213">--stacktrace</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.6%" headers="mcps1.3.3.2.5.2.7.2.3.1.2 "><p id="mrs_01_2345__p17923551123">If this parameter is specified, stack trace information will be printed when an exception occurs.</p>
+</td>
+</tr>
+<tr id="mrs_01_2345__row2923195117220"><td class="cellrowborder" valign="top" width="17.4%" headers="mcps1.3.3.2.5.2.7.2.3.1.1 "><p id="mrs_01_2345__p2923165115217">--config-file</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.6%" headers="mcps1.3.3.2.5.2.7.2.3.1.2 "><p id="mrs_01_2345__p59231751824">Name of the configuration file.</p>
+</td>
+</tr>
+<tr id="mrs_01_2345__row169231511325"><td class="cellrowborder" valign="top" width="17.4%" headers="mcps1.3.3.2.5.2.7.2.3.1.1 "><p id="mrs_01_2345__p1492312511129">--secure</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.6%" headers="mcps1.3.3.2.5.2.7.2.3.1.2 "><p id="mrs_01_2345__p1892316518213">If this parameter is specified, the server will be connected in SSL mode.</p>
+</td>
+</tr>
+<tr id="mrs_01_2345__row129231511426"><td class="cellrowborder" valign="top" width="17.4%" headers="mcps1.3.3.2.5.2.7.2.3.1.1 "><p id="mrs_01_2345__p20923105119211">--history_file</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.6%" headers="mcps1.3.3.2.5.2.7.2.3.1.2 "><p id="mrs_01_2345__p992319510214">Path of files that record command history.</p>
+</td>
+</tr>
+<tr id="mrs_01_2345__row169231151920"><td class="cellrowborder" valign="top" width="17.4%" headers="mcps1.3.3.2.5.2.7.2.3.1.1 "><p id="mrs_01_2345__p209231151825">--param_&lt;name&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="82.6%" headers="mcps1.3.3.2.5.2.7.2.3.1.2 "><p id="mrs_01_2345__p292345113211">Query with parameters. Pass values from the client to the server. </p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2344.html">Using ClickHouse</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2355.html b/docs/mrs/component-operation-guide/mrs_01_2355.html
new file mode 100644
index 000000000..f39fa0b4a
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2355.html
@@ -0,0 +1,28 @@
+<a name="mrs_01_2355"></a><a name="mrs_01_2355"></a>
+
+<h1 class="topictitle1">When an HBase Policy Is Added or Modified on Ranger, Wildcard Characters Cannot Be Used to Search for Existing HBase Tables</h1>
+<div id="body0000001092153992"><div class="section" id="mrs_01_2355__section189212035142019"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2355__p8060118">When a Ranger access permission policy is added for HBase and wildcard characters are used to search for an existing HBase table in the policy, the table cannot be found. The following error is reported in <strong id="mrs_01_2355__b113411195714">/var/log/Bigdata/ranger/rangeradmin/ranger-admin-*log</strong>:</p>
+<pre class="screen" id="mrs_01_2355__screen17698922134015">Caused by: javax.security.sasl.SaslException: No common protection layer between client and server
+at com.sun.security.sasl.gsskerb.GssKrb5Client.doFinalHandshake(GssKrb5Client.java:253)
+at com.sun.security.sasl.gsskerb.GssKrb5Client.evaluateChallenge(GssKrb5Client.java:186)
+at org.apache.hadoop.hbase.security.AbstractHBaseSaslRpcClient.evaluateChallenge(AbstractHBaseSaslRpcClient.java:142)
+at org.apache.hadoop.hbase.security.NettyHBaseSaslRpcClientHandler$2.run(NettyHBaseSaslRpcClientHandler.java:142)
+at org.apache.hadoop.hbase.security.NettyHBaseSaslRpcClientHandler$2.run(NettyHBaseSaslRpcClientHandler.java:138)
+at java.security.AccessController.doPrivileged(Native Method)
+at javax.security.auth.Subject.doAs(Subject.java:422)
+at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1761)
+at org.apache.hadoop.hbase.security.NettyHBaseSaslRpcClientHandler.channelRead0(NettyHBaseSaslRpcClientHandler.java:138)
+at org.apache.hadoop.hbase.security.NettyHBaseSaslRpcClientHandler.channelRead0(NettyHBaseSaslRpcClientHandler.java:42)
+at org.apache.hbase.thirdparty.io.netty.channel.SimpleChannelInboundHandler.channelRead(SimpleChannelInboundHandler.java:105)
+at org.apache.hbase.thirdparty.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:362)</pre>
+</div>
+<div class="section" id="mrs_01_2355__sb821aee499864a0598739905b0c6889b"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2355__p1776194693617">The value of <strong id="mrs_01_2355__b1258761216020">hbase.rpc.protection</strong> of the HBase service plug-in on Ranger must be the same as that of <strong id="mrs_01_2355__b958881215019">hbase.rpc.protection</strong> on the HBase server.</p>
+<ol id="mrs_01_2355__ol090513438258"><li id="mrs_01_2355__li14676284262"><span>Log in to the Ranger management page. For details, see <a href="mrs_01_1850.html">Logging In to the Ranger Web UI</a>.</span></li><li id="mrs_01_2355__li13147231112419"><span>In the <strong id="mrs_01_2355__b16464728319">HBASE</strong> area on the home page, click the component plug-in name, for example, the <span><img id="mrs_01_2355__image1876104732217" src="en-us_image_0000001349170149.png"></span> button of HBase.</span></li><li id="mrs_01_2355__li18658932173820"><span>Search for the configuration item <strong id="mrs_01_2355__b194723511322">hbase.rpc.protection</strong> and change its value to the value of <strong id="mrs_01_2355__b56621826331">hbase.rpc.protection</strong> on the HBase server.</span></li><li id="mrs_01_2355__li150566193215"><span>Click <strong id="mrs_01_2355__b2554105012508">Save</strong>.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1866.html">Common Issues About Ranger</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2356.html b/docs/mrs/component-operation-guide/mrs_01_2356.html
new file mode 100644
index 000000000..f06a70f88
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2356.html
@@ -0,0 +1,11 @@
+<a name="mrs_01_2356"></a><a name="mrs_01_2356"></a>
+
+<h1 class="topictitle1">Using DBService</h1>
+<div id="body1590116129279"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_0789.html">DBService Log Overview</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2360.html b/docs/mrs/component-operation-guide/mrs_01_2360.html
new file mode 100644
index 000000000..591256208
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2360.html
@@ -0,0 +1,31 @@
+<a name="mrs_01_2360"></a><a name="mrs_01_2360"></a>
+
+<h1 class="topictitle1">Using HDFS AZ Mover</h1>
+<div id="body1606729563286"><div class="section" id="mrs_01_2360__section524983601415"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_2360__p6784661512">AZ Mover is a copy migration tool used to move copies to meet the new AZ policies set on the directory. It can be used to migrate copies from one AZ policy to another. AZ Mover instructs NameNode to move copies based on a new AZ policy. If the NameNode refuses to delete the old copies, the new policy may not be met. For example, the copies are marked as outdated.</p>
+</div>
+<div class="section" id="mrs_01_2360__section223117232228"><h4 class="sectiontitle">Restrictions</h4><ul id="mrs_01_2360__ul22311923132211"><li id="mrs_01_2360__li14977519121813">Changing the policy name to <strong id="mrs_01_2360__b89142028465">LOCAL_AZ</strong> is the same as that to <strong id="mrs_01_2360__b18143174818615">ONE_AZ</strong> because the client location cannot be determined when the uploaded file is written.</li><li id="mrs_01_2360__li16977101981814">Mover cannot determine the AZ status. As a result, the copy may be moved to the abnormal AZ and depends on NameNode for further processing.</li><li id="mrs_01_2360__li197731910182">Mover depends on whether the number of DataNodes in each AZ meets the minimum requirement. If the AZ Mover is executed in an AZ with a small number of DataNodes, the result may be different from the expected result.</li><li id="mrs_01_2360__li697710195185">Mover only meets the AZ-level policies and does not guarantee to meet the basic block placement policy (BPP).</li><li id="mrs_01_2360__li1797781981812">Mover does not support the change of replication factors. If the number of copies in the new AZ is different from that in the old AZ, an exception occurs.</li></ul>
+</div>
+<div class="section" id="mrs_01_2360__section453268151617"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_2360__ol68661933102018"><li id="mrs_01_2360__li18851186175920"><span>Run the following command to go to the client installation directory.</span><p><p id="mrs_01_2360__p56635217598"><strong id="mrs_01_2360__b327235215917">cd /opt/client</strong></p>
+</p></li><li id="mrs_01_2360__li1485114614593"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_2360__p96161241595"><strong id="mrs_01_2360__b7679114810591">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_2360__li98513610593"><span>If the cluster is in security mode, the user must have the read permission on the source directory or file and the write permission on the destination directory, and run the following command to authenticate the user: In normal mode, skip user authentication.</span><p><p id="mrs_01_2360__p6272528115914"><strong id="mrs_01_2360__b946518553129">kinit</strong> <em id="mrs_01_2360__i147010558121">Component service user</em></p>
+</p></li><li id="mrs_01_2360__li6866833112012"><span>Create a directory and set an AZ policy.</span><p><p id="mrs_01_2360__p312012913417">Run the following command to create a directory.</p>
+<p id="mrs_01_2360__p171201092418"><strong id="mrs_01_2360__b46373500117">hdfs dfs -mkdir</strong> &lt;<em id="mrs_01_2360__i1063895031117">path</em>&gt;</p>
+<p id="mrs_01_2360__p0120799410">Run the following command to set the AZ policy (<strong id="mrs_01_2360__b8227714141310">azexpression</strong> indicates the AZ policy):</p>
+<p id="mrs_01_2360__p18120149944"><strong id="mrs_01_2360__b187110594115">hdfs dfsadmin -setAZExpression </strong><em id="mrs_01_2360__i4590125921114">&lt;path</em><strong id="mrs_01_2360__b1484915815126">&gt; </strong><em id="mrs_01_2360__i722689171213">&lt;azexpression</em>&gt;</p>
+<p id="mrs_01_2360__p81201191341">Run the following command to view the AZ policy:</p>
+<p id="mrs_01_2360__p18120298417"><strong id="mrs_01_2360__b2087695214136">hdfs dfsadmin -getAZExpression </strong><em id="mrs_01_2360__i17231135361315">&lt;path</em>&gt;</p>
+</p></li><li id="mrs_01_2360__li15866133318204"><span>Upload files to the directory.</span><p><p id="mrs_01_2360__p128211567416"><strong id="mrs_01_2360__b126911041416">hdfs dfs -put &lt;</strong><em id="mrs_01_2360__i55101107140">localfile</em><strong id="mrs_01_2360__b11612266143">&gt; &lt;</strong><em id="mrs_01_2360__i12924196161413">hdfs-path</em><strong id="mrs_01_2360__b3613468143">&gt;</strong></p>
+</p></li><li id="mrs_01_2360__li1986603310209"><span>Delete the old policy from the directory and set a new policy.</span><p><p id="mrs_01_2360__p322613312061">Run the following command to clear the old policy:</p>
+<p id="mrs_01_2360__p3827129165"><strong id="mrs_01_2360__b113933336153">hdfs dfsadmin -clearAZExpression &lt;</strong><em id="mrs_01_2360__i117110331152">path</em><strong id="mrs_01_2360__b83931733191519">&gt;</strong></p>
+<p id="mrs_01_2360__p6774549263">Run the following command to configure a new policy:</p>
+<p id="mrs_01_2360__p388691111714"><strong id="mrs_01_2360__b141921352141516">hdfs dfsadmin -setAZExpression &lt;</strong><em id="mrs_01_2360__i11539115241516">path</em><strong id="mrs_01_2360__b1041217557155">&gt; &lt;</strong><em id="mrs_01_2360__i569614550157">azexpression</em><strong id="mrs_01_2360__b16412155591520">&gt;</strong></p>
+</p></li><li id="mrs_01_2360__li5866103319207"><span>Run the <strong id="mrs_01_2360__b1276452212146">azmover</strong> command to make the copy distribution meet the new AZ policy.</span><p><p id="mrs_01_2360__p9620105210232"><strong id="mrs_01_2360__b12620165214232">hdfs azmover -p /targetDirecotry</strong></p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0790.html">Using HDFS</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2362.html b/docs/mrs/component-operation-guide/mrs_01_2362.html
new file mode 100644
index 000000000..012195f81
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2362.html
@@ -0,0 +1,86 @@
+<a name="mrs_01_2362"></a><a name="mrs_01_2362"></a>
+
+<h1 class="topictitle1">Using CarbonData for First Query</h1>
+<div id="body1607673180958"><div class="section" id="mrs_01_2362__section11476128132414"><h4 class="sectiontitle">Tool Overview</h4><p id="mrs_01_2362__p984419577189">The first query of CarbonData is slow, which may cause a delay for nodes that have high requirements on real-time performance.</p>
+<p id="mrs_01_2362__p865493862414">The tool provides the following functions:</p>
+<ul id="mrs_01_2362__ul1234819516198"><li id="mrs_01_2362__li03485511918">Preheat the tables that have high requirements on query delay for the first time.</li></ul>
+</div>
+<div class="section" id="mrs_01_2362__section1070795194217"><h4 class="sectiontitle">Tool Usage</h4><p id="mrs_01_2362__p1480192924311">Download and install the client. For example, the installation directory is <strong id="mrs_01_2362__b214715475368">/opt/client</strong>. Go to the <strong id="mrs_01_2362__b1962153844715">/opt/client/Spark2x/spark/bin</strong> directory and run <strong id="mrs_01_2362__b162215386472">start-prequery.sh</strong>.</p>
+<p id="mrs_01_2362__p1869611074817">Configure <strong id="mrs_01_2362__b16878132173714">prequeryParams.properties</strong> by referring to <a href="#mrs_01_2362__table1684114449372">Table 1</a>.</p>
+
+<div class="tablenoborder"><a name="mrs_01_2362__table1684114449372"></a><a name="table1684114449372"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2362__table1684114449372" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters</caption><thead align="left"><tr id="mrs_01_2362__row58411844193712"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.4.2.4.1.1"><p id="mrs_01_2362__p188411744173710">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.4.2.4.1.2"><p id="mrs_01_2362__p1384144412371">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.2.4.2.4.1.3"><p id="mrs_01_2362__p184115440374">Example</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2362__row168421844163717"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_2362__p1884284463716">spark.prequery.period.max.minute</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_2362__p138421544113720">Maximum preheating duration, in minutes.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_2362__p0842444133718">60</p>
+</td>
+</tr>
+<tr id="mrs_01_2362__row0842144418370"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_2362__p884214440379">spark.prequery.tables</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_2362__p20450101324113">Table name configuration, <em id="mrs_01_2362__i156177351380">database.table:int</em>. The table name supports the wildcard (*). <strong id="mrs_01_2362__b158113718386">int</strong> indicates the duration (unit: day) within which the table is updated before it is preheated.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_2362__p98425445374">default.test*:10</p>
+</td>
+</tr>
+<tr id="mrs_01_2362__row7842164411371"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_2362__p11842194419379">spark.prequery.maxThreads</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_2362__p9842944153715">Maximum number of concurrent threads during preheating</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_2362__p138424443376">50</p>
+</td>
+</tr>
+<tr id="mrs_01_2362__row1484294410371"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_2362__p7842844123720">spark.prequery.sslEnable</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_2362__p16842174483710">The value is <strong id="mrs_01_2362__b16523104616385">true</strong> in security mode and <strong id="mrs_01_2362__b178821250123817">false</strong> in non-security mode.</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_2362__p2842164418371">true</p>
+</td>
+</tr>
+<tr id="mrs_01_2362__row128426443371"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_2362__p984264483715">spark.prequery.driver</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_2362__p6842044193713">IP address and port number of JDBCServer. The format is <em id="mrs_01_2362__i1388118505425">IP address:Port number</em>. If multiple servers need to be preheated, enter multiple <em id="mrs_01_2362__i844831711439">IP address:Port number</em> of the servers and separate them with commas (,).</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_2362__p484234403712">192.168.0.2:22550</p>
+</td>
+</tr>
+<tr id="mrs_01_2362__row15842104417372"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_2362__p1384216441378">spark.prequery.sql</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_2362__p108423446373">SQL statement for preheating. Different statements are separated by colons (:).</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_2362__p16814594312">SELECT COUNT(*) FROM %s;SELECT * FROM %s LIMIT 1</p>
+</td>
+</tr>
+<tr id="mrs_01_2362__row18511391434"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_2362__p19852143914313">spark.security.url</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_2362__p1585253918435">URL required by JDBC in security mode</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_2362__p1485283918432">;saslQop=auth-conf;auth=KERBEROS;principal=spark2x/hadoop.hadoop.com@HADOOP.COM;</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_2362__note97071914516"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2362__p177071897457">The statement configured in <strong id="mrs_01_2362__b122731043143914">spark.prequery.sql</strong> is executed in each preheated table. The table name is replaced with <strong id="mrs_01_2362__b1892735412393">%s</strong>.</p>
+</div></div>
+<p id="mrs_01_2362__p16736114616418"><strong id="mrs_01_2362__b8365141294018">Script Usage</strong></p>
+<p id="mrs_01_2362__p73209162017">Command format: <strong id="mrs_01_2362__b12590211546">sh </strong><strong id="mrs_01_2362__b1425916219547">start-prequery.sh</strong></p>
+<p id="mrs_01_2362__p134565111056">To run this command, place <strong id="mrs_01_2362__b12576215403">user.keytab</strong> or <strong id="mrs_01_2362__b5856476405">jaas.conf</strong> (either of them) and <strong id="mrs_01_2362__b17977139405">krb5.conf</strong> (mandatory) in the <strong id="mrs_01_2362__b10561121814403">conf</strong> directory.</p>
+<div class="note" id="mrs_01_2362__note998517371588"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_2362__ul1648184013495"><li id="mrs_01_2362__li10481134012498">Currently, this tool supports only Carbon tables.</li><li id="mrs_01_2362__li44811340124915">This tool initializes the Carbon environment and pre-reads table metadata to JDBCServer. Therefore, this tool is more suitable for multi-active instances and static allocation mode.</li></ul>
+</div></div>
+</div>
+<p id="mrs_01_2362__p8060118"></p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1926.html">Using Spark2x</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2367.html b/docs/mrs/component-operation-guide/mrs_01_2367.html
new file mode 100644
index 000000000..cdaf1948d
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2367.html
@@ -0,0 +1,46 @@
+<a name="mrs_01_2367"></a><a name="mrs_01_2367"></a>
+
+<h1 class="topictitle1">How Do I Do If a Large File Fails to Upload on the Hue Page?</h1>
+<div id="body0000001073226723"><div class="section" id="mrs_01_2367__section6439510132019"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2367__acc6e4168a6a141fca8c9073b0931629b">What can I do when a large file fails to be uploaded on the Hue page?</p>
+</div>
+<div class="section" id="mrs_01_2367__s386d6384f2174e04b4f5de06ef3546c0"><h4 class="sectiontitle">Answer</h4><ol id="mrs_01_2367__ol1267023518403"><li id="mrs_01_2367__li1467013358400">You are advised to run commands on the client to upload large files instead of using the Hue file browser.</li><li id="mrs_01_2367__li0670103564016">If you must use Hue to upload the file, perform the following steps to modify Httpd parameters:<ol type="a" id="mrs_01_2367__ol82481537174010"><li id="mrs_01_2367__li191791916412">Log in to the active management node as user <strong id="mrs_01_2367__b1039510203449">omm</strong>.</li><li id="mrs_01_2367__li6831714184110">Run the following command to edit the <strong id="mrs_01_2367__b040752094816">httpd.conf</strong> file:<p id="mrs_01_2367__p1474081444114"><strong id="mrs_01_2367__b14106219114119">vi $BIGDATA_HOME/om-server/Apache-httpd-*/conf/httpd.conf</strong></p>
+</li><li id="mrs_01_2367__li11589126114217">Search for <strong id="mrs_01_2367__b156741219144119">21201</strong> and add <strong id="mrs_01_2367__b66801019134110">RequestReadTimeout handshake=0 header=0 body=0</strong> to the <strong id="mrs_01_2367__b1168031912418">&lt;/VirtualHost&gt;</strong> configuration, as shown in the following:<pre class="screen" id="mrs_01_2367__screen1414251912454">...
+&lt;VirtualHost *:21201&gt;
+    ServerName https://10.112.16.93:21201
+    AllowEncodedSlashes On
+    SSLProxyEngine On
+    ProxyRequests Off
+    TraceEnable off
+    ProxyTimeout  1200
+    RewriteEngine on
+    RewriteMap proxylist dbm:<em id="mrs_01_2367__i1890134211572">${BIGDATA_ROOT_HOME}</em>/om-server_*/Apache-httpd-*/conf/proxylist.dbm
+
+    RewriteRule ^(\/.*)$  ${proxylist:/Hue/Hue/21201}$1 [E=TARGET_PATH:$1,L,P]
+
+    Header edit Location ^(?!https://10.112.16.93:20009|https://10.112.16.93:21201)http[s]?://[^/]*(.*)$  https://10.112.16.93:21201$1
+
+    ProxyPassReverseCookiePath / / interpolate
+
+    SSLEngine On
+    SSLProxyProtocol  All +TLSv1.2 -SSLv2 -SSLv3 -TLSv1 -TLSv1.1
+    SSLProtocol ALL +TLSv1.2 -SSLv2 -SSLv3 -TLSv1 -TLSv1.1
+    SSLCipherSuite ECDHE-RSA-AES256-GCM-SHA384:ECDHE-ECDSA-AES256-GCM-SHA384:ECDHE-RSA-AES128-GCM-SHA256:ECDHE-ECDSA-AES128-GCM-SHA256:DHE-DSS-AES256-GCM-SHA384:DHE-RSA-AES256-GCM-SHA384:DHE-DSS-AES128-GCM-SHA256:DHE-RSA-AES128-GCM-SHA256
+    SSLProxyCheckPeerName off
+    SSLProxyCheckPeerCN off
+    SSLCertificateFile "<em id="mrs_01_2367__i12288463571">${BIGDATA_ROOT_HOME}</em>/om-server_*/Apache-httpd-*/conf/security/proxy_ssl.cert"
+    SSLCertificateKeyFile "<em id="mrs_01_2367__i12371164835716">${BIGDATA_ROOT_HOME}</em>/om-server_*/Apache-httpd-*/conf/security/server.key"
+    SSLProxyCACertificateFile <em id="mrs_01_2367__i12251135114572">${BIGDATA_ROOT_HOME}</em>/om-server_*/apache-tomcat-*/conf/security/tomcat.crt
+    SSLCertificateChainFile "<em id="mrs_01_2367__i18104105418578">${BIGDATA_ROOT_HOME}</em>/om-server_*/Apache-httpd-2.4.39/conf/security/proxy_chain.cert"
+    <strong id="mrs_01_2367__b77311630164611">RequestReadTimeout handshake=0 header=0 body=0</strong>
+&lt;/VirtualHost&gt;
+...</pre>
+</li><li id="mrs_01_2367__li7405856124610">Run the <strong id="mrs_01_2367__b104421110132217">pkill -9 httpd</strong> command to stop the httpd process and wait for it to automatically restart.</li></ol>
+</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1764.html">Common Issues About Hue</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2368.html b/docs/mrs/component-operation-guide/mrs_01_2368.html
new file mode 100644
index 000000000..a6573c067
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2368.html
@@ -0,0 +1,14 @@
+<a name="mrs_01_2368"></a><a name="mrs_01_2368"></a>
+
+<h1 class="topictitle1">Why Is the Hue Native Page Cannot Be Properly Displayed If the Hive Service Is Not Installed in a Cluster?</h1>
+<div id="body0000001074264936"><div class="section" id="mrs_01_2368__section6439510132019"><h4 class="sectiontitle">Question</h4><p id="mrs_01_2368__acc6e4168a6a141fca8c9073b0931629b">Why is the native Hue page blank if the Hive service is not installed in a cluster?</p>
+</div>
+<div class="section" id="mrs_01_2368__section1243313341041"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_2368__p881754016413">In MRS 3.x, Hue depends on Hive. If this problem occurs, check whether the Hive component is installed in the current cluster. If not, install it.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1764.html">Common Issues About Hue</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2370.html b/docs/mrs/component-operation-guide/mrs_01_2370.html
new file mode 100644
index 000000000..368467ac2
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2370.html
@@ -0,0 +1,55 @@
+<a name="mrs_01_2370"></a><a name="mrs_01_2370"></a>
+
+<h1 class="topictitle1">Using the SparkSql Editor on the Hue Web UI</h1>
+<div id="body1600498004989"><div class="section" id="mrs_01_2370__s9f93d0a70cdc4575b48c96902a562dfe"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_2370__p7684161264218">You can use Hue to execute SparkSql statements in a cluster on a graphical user interface (GUI).</p>
+</div>
+<div class="section" id="mrs_01_2370__section20283834527"><h4 class="sectiontitle">Configuring Spark2x</h4><p id="mrs_01_2370__p139851933529">Before using the SparkSql editor, you need to modify the Spark2x configuration.</p>
+<ol id="mrs_01_2370__ol85916154537"><li id="mrs_01_2370__li126541914495"><span>Go to the Spark2x configuration page. For details, see <a href="mrs_01_2125.html">Modifying Cluster Service Configuration Parameters</a>.</span></li><li id="mrs_01_2370__li1069612395472"><span>Set the Spark2x multi-instance mode. Search for and modify the following parameters of the Spark2x service:</span><p>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2370__table1069633924716" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_2370__row19696539154717"><th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.2.3.2.2.1.1.3.1.1"><p id="mrs_01_2370__p3696123911475">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.2.3.2.2.1.1.3.1.2"><p id="mrs_01_2370__p1269673974716">Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2370__row66965394471"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.2.3.2.2.1.1.3.1.1 "><p id="mrs_01_2370__p1069663915472">spark.thriftserver.proxy.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.2.3.2.2.1.1.3.1.2 "><p id="mrs_01_2370__p1696139104719">false</p>
+</td>
+</tr>
+<tr id="mrs_01_2370__row18696123964717"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.2.3.2.2.1.1.3.1.1 "><p id="mrs_01_2370__p16696839164717">spark.scheduler.allocation.file</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.2.3.2.2.1.1.3.1.2 "><p id="mrs_01_2370__p1169693984715">#{conf_dir}/fairscheduler.xml</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_2370__li857311221656"><span>Go to the JDBCServer2x customization page and add the following customized items to the <strong id="mrs_01_2370__b519414247116">spark.core-site.customized.configs</strong> parameter:</span><p><p id="mrs_01_2370__p220112362613">Set <strong id="mrs_01_2370__b3744679123">hadoop.proxyuser.hue.groups</strong> to <strong id="mrs_01_2370__b54701695128">*</strong>.</p>
+<p id="mrs_01_2370__p0201183611613">Set <strong id="mrs_01_2370__b346514379122">hadoop.proxyuser.hue.hosts</strong> to <strong id="mrs_01_2370__b18465193710126">*</strong>.</p>
+</p></li><li id="mrs_01_2370__li378314452910"><span>Save the configuration and restart the meta and Spark2x services.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_2370__section151412178472"><h4 class="sectiontitle">Accessing the Editor</h4><ol id="mrs_01_2370__ol44107557145123"><li id="mrs_01_2370__li849515575276"><span>Access the Hue web UI. For details, see <a href="mrs_01_0132.html">Accessing the Hue Web UI</a>.</span></li><li id="mrs_01_2370__li32181645145123"><span>In the navigation tree on the left, click <span><img id="mrs_01_2370__image188071542102916" src="en-us_image_0000001296090532.png"></span> and choose <span class="uicontrol" id="mrs_01_2370__uicontrol10468102964715"><b>SparkSql</b></span>. The <span class="parmname" id="mrs_01_2370__parmname23960182145123"><b>SparkSql</b></span> page is displayed.</span><p><p id="mrs_01_2370__p18668164145123"><span class="parmname" id="mrs_01_2370__parmname16627724125011"><b>SparkSql</b></span> supports the following functions:</p>
+<ul id="mrs_01_2370__ul25945359145123"><li id="mrs_01_2370__li8151932145123">Executes and manages SparkSql statements.</li><li id="mrs_01_2370__li58461858145123">Views the SparkSql statements saved by the current user in <strong id="mrs_01_2370__b1103141520118">Saved Queries</strong>.</li><li id="mrs_01_2370__li40165519145123">Queries SparkSql statements executed by the current user in <strong id="mrs_01_2370__b14209425171120">Query History</strong>.</li></ul>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_2370__section714371714718"><h4 class="sectiontitle">Executing SparkSql Statements</h4><ol id="mrs_01_2370__ol59674238145244"><li id="mrs_01_2370__li55366463145244"><span>Select a SparkSql database from the <span class="wintitle" id="mrs_01_2370__en-us_topic_0272686976_wintitle396173155119"><b>Database</b></span> drop-down list box. The default database is <span class="parmvalue" id="mrs_01_2370__en-us_topic_0272686976_parmvalue34652220145244"><b>default</b></span>.</span><p><p id="mrs_01_2370__en-us_topic_0272686976_p43434531145244">The system displays all available tables. You can enter a keyword of the table name to search for the desired table.</p>
+</p></li><li id="mrs_01_2370__li29724435145244"><span>Click the desired table name. All columns in the table are displayed.</span><p><p id="mrs_01_2370__p55498498145244">Move the cursor to the row of the table and click <span><img id="mrs_01_2370__image64015734710" src="en-us_image_0000001349289861.jpg"></span>. Column details are displayed.</p>
+</p></li><li id="mrs_01_2370__li62672328145244"><span>In the SparkSql statement editing area, enter the query statement.</span><p><p id="mrs_01_2370__p51702834145244">Click the triangle next to <span><img id="mrs_01_2370__image1461310445470" src="en-us_image_0000001296090524.jpg"></span> and select <span class="uicontrol" id="mrs_01_2370__uicontrol3661109145244"><b>Explain</b></span>. The editor checks the syntax and execution plan of the entered statements. If the statements have syntax errors, the editor reports <span class="parmvalue" id="mrs_01_2370__parmvalue28114380145244"><b>Error while compiling statement</b></span>.</p>
+</p></li><li id="mrs_01_2370__li66282794145244"><span>Click <span><img id="mrs_01_2370__image152120534504" src="en-us_image_0000001295770740.jpg"></span> to execute the SparkSql statement.</span><p><div class="note" id="mrs_01_2370__note52103997145244"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_2370__ul35615494145244"><li id="mrs_01_2370__li6209567145244">If you want to use the entered SparkSql statements again, click <span><img id="mrs_01_2370__image1548910543262" src="en-us_image_0000001348770561.png"></span> to save them.</li><li id="mrs_01_2370__li674754114817">Advanced query configuration:<p id="mrs_01_2370__p574717411482"><a name="mrs_01_2370__li674754114817"></a><a name="li674754114817"></a>Click <span><img id="mrs_01_2370__image4747241154816" src="en-us_image_0000001295930708.png"></span> in the upper right corner to configure information such as files, functions, and settings.</p>
+</li><li id="mrs_01_2370__li1174704114814">Viewing the information of shortcut keys:<p id="mrs_01_2370__p374717418489"><a name="mrs_01_2370__li1174704114814"></a><a name="li1174704114814"></a>Click <span><img id="mrs_01_2370__image57471441144817" src="en-us_image_0000001349090373.png"></span> in the upper right corner to view the syntax and keyboard shortcut information.</p>
+</li><li id="mrs_01_2370__li61972459145244">To format the SparkSql statement, click the triangle next to <span><img id="mrs_01_2370__image13777122614524" src="en-us_image_0000001348770553.jpg"></span> and select <span class="uicontrol" id="mrs_01_2370__uicontrol7393128145244"><b>Format</b></span>.</li><li id="mrs_01_2370__li34295104145244">To delete an entered SparkSql statement, click the triangle next to <span><img id="mrs_01_2370__image762853195215" src="en-us_image_0000001295770748.jpg"></span> and select <span class="uicontrol" id="mrs_01_2370__uicontrol24450026145244"><b>Clear</b></span>.</li><li id="mrs_01_2370__li1580691217484">Viewing historical records:<p id="mrs_01_2370__p16806151215484"><a name="mrs_01_2370__li1580691217484"></a><a name="li1580691217484"></a>Click <span class="parmname" id="mrs_01_2370__parmname380691204816"><b>Query History</b></span> to view the SparkSql running status. You can view the history of all the statements or only the saved statements. If many historical records exist, you can enter keywords in the text box to search for desired records.</p>
+</li></ul>
+</div></div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_2370__section17144417174720"><h4 class="sectiontitle">Viewing Execution Results</h4><ol id="mrs_01_2370__ol47679345145312"><li id="mrs_01_2370__li13016201145312"><span>View the execution results below the execution area on <span class="wintitle" id="mrs_01_2370__wintitle138688441281"><b>SparkSql</b></span>. The <span class="wintitle" id="mrs_01_2370__wintitle88511950987"><b>Query History</b></span> tab page is displayed by default.</span></li><li id="mrs_01_2370__li50036947145312"><span>Click a result to view the execution result of the executed statement.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_2370__section0145617204712"><h4 class="sectiontitle">Managing Query Statements</h4><ol id="mrs_01_2370__ol61171655145335"><li id="mrs_01_2370__li7136121691110"><span>Click <span class="uicontrol" id="mrs_01_2370__uicontrol19280182311195"><b>Saved Queries</b></span>.</span></li><li id="mrs_01_2370__li14253391145335"><span>Click a saved statement. The system automatically adds the statement to the editing area.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0130.html">Using Hue (MRS 3.x or Later)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2371.html b/docs/mrs/component-operation-guide/mrs_01_2371.html
new file mode 100644
index 000000000..11609de39
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2371.html
@@ -0,0 +1,19 @@
+<a name="mrs_01_2371"></a><a name="mrs_01_2371"></a>
+
+<h1 class="topictitle1">Using HBase on the Hue Web UI</h1>
+<div id="body0000001074782830"><div class="section" id="mrs_01_2371__s9f93d0a70cdc4575b48c96902a562dfe"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_2371__p7684161264218">You can use Hue to create or query HBase tables in a cluster and run tasks on the Hue web UI.</p>
+<p id="mrs_01_2371__p744011520130">Make sure that the HBase component has been installed in the MRS cluster and the Thrift1Server instance has been added before this operation.</p>
+</div>
+<div class="section" id="mrs_01_2371__section5884722141917"><h4 class="sectiontitle">Accessing Job Browser</h4><ol id="mrs_01_2371__ol3455717515634"><li id="mrs_01_2371__li163561324511"><span>Access the Hue web UI. For details, see <a href="mrs_01_0132.html">Accessing the Hue Web UI</a>.</span></li><li id="mrs_01_2371__li1121682915634"><span>Click HBase <span><img id="mrs_01_2371__image1594416192506" src="en-us_image_0000001295930632.png"></span>. The <strong id="mrs_01_2371__b13336174919207">HBase Browser</strong> page is displayed.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_2371__section1658519414225"><h4 class="sectiontitle">Creating an HBase Table</h4><ol id="mrs_01_2371__ol685764615656"><li id="mrs_01_2371__li1780072711162"><span>Access the Hue web UI. For details, see <a href="mrs_01_0132.html">Accessing the Hue Web UI</a>.</span></li><li id="mrs_01_2371__li180019272162"><span>Click HBase <span><img id="mrs_01_2371__image980022751613" src="en-us_image_0000001296250104.png"></span>. The <strong id="mrs_01_2371__b188619500204">HBase Browser</strong> page is displayed.</span></li><li id="mrs_01_2371__li6387950815656"><span>Click <strong id="mrs_01_2371__b51351731303">New Table</strong> on the right, enter the table name and column family parameters, and click <strong id="mrs_01_2371__b22345916315">Submit</strong>.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_2371__section1395674992616"><h4 class="sectiontitle">Querying Data in an HBase Table</h4><ol id="mrs_01_2371__ol14956144932620"><li id="mrs_01_2371__li1549413581610"><span>Access the Hue web UI. For details, see <a href="mrs_01_0132.html">Accessing the Hue Web UI</a>.</span></li><li id="mrs_01_2371__li20494335191616"><span>Click HBase <span><img id="mrs_01_2371__image1849443512164" src="en-us_image_0000001349289781.png"></span>. The <strong id="mrs_01_2371__b4849101502118">HBase Browser</strong> page is displayed.</span></li><li id="mrs_01_2371__li29567491261"><span>Click the HBase table to be queried. Then, click the key value next to search box in the upper part, and query the HBase table.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0130.html">Using Hue (MRS 3.x or Later)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2372.html b/docs/mrs/component-operation-guide/mrs_01_2372.html
new file mode 100644
index 000000000..61e1df56b
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+++ b/docs/mrs/component-operation-guide/mrs_01_2372.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_2372"></a><a name="mrs_01_2372"></a>
+
+<h1 class="topictitle1">Submitting a Hive Script</h1>
+<div id="body0000001074907696"><div class="section" id="mrs_01_2372__sece971ac6b8e42a8bd639bc47a9715e8"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_2372__a20e8f318a3004a948f33b97dd24390e5">This section describes how to submit a Hive job on the Hue web UI.</p>
+</div>
+<div class="section" id="mrs_01_2372__section527811882013"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_2372__o6f72e354cc904a208752f15623eeaebc"><li id="mrs_01_2372__l9c41aa2dac9a48198a3bcb2c170e86e2"><span>Access the Hue web UI. For details, see <a href="mrs_01_0132.html">Accessing the Hue Web UI</a>.</span></li><li id="mrs_01_2372__le55d509ceb004262807d4bb7533bdda1"><span>In the navigation tree on the left, click <span><img id="mrs_01_2372__image2607133802416" src="en-us_image_0000001349090113.png"></span> and choose <strong id="mrs_01_2372__b1314444417330">Workflow</strong> to open the Workflow editor.</span></li><li id="mrs_01_2372__l22b5ec105e39433188223f788bc5fe2d"><span>Click <strong id="mrs_01_2372__b77063193413">Documents</strong>, click <span><img id="mrs_01_2372__image1663172661315" src="en-us_image_0000001349289589.png"></span> to select a Hive script from the operation list, and drag it to the operation page.</span></li><li id="mrs_01_2372__lf1fdc1b28b574502a3988b3bbd281232"><span>In the <strong id="mrs_01_2372__b15570143010343">HiveServer2 Script</strong> dialog box that is displayed, select the saved Hive script. For details about how to save the Hive script, see <a href="mrs_01_0134.html">Using HiveQL Editor on the Hue Web UI</a>. Select a script and click <strong id="mrs_01_2372__b35593412348">Add</strong>.</span><p><p id="mrs_01_2372__p142311047151615"><span><img id="mrs_01_2372__image185953486160" src="en-us_image_0000001348770301.png"></span></p>
+</p></li><li id="mrs_01_2372__l227e9bd11d4f4711be2721dd1a192973"><span>Configure the Job XML, for example, to the HDFS path <strong id="mrs_01_2372__b12106242164920">/user/admin/examples/apps/hive2/hive-site.xml</strong>. For details, see <a href="mrs_01_1820.html">Submitting a Hive2 Job</a>.</span></li><li id="mrs_01_2372__li15615163711213"><span>Click <span><img id="mrs_01_2372__image1236335111194" src="en-us_image_0000001296249920.png"></span> in the upper right corner of the Oozie editor.</span></li><li id="mrs_01_2372__lfd13b90c41184d54bf38baa77da8d239"><span>After the configuration is saved, click <span><img id="mrs_01_2372__iff9543b1b0844c67b0158de04ac7a770" src="en-us_image_0000001295770484.jpg"></span>, and submit the job.</span><p><p id="mrs_01_2372__a5b8939a5e7934158bce4725266f78abe">After the job is submitted, you can view the related contents of the job, such as the detailed information, logs, and processes, on Hue.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1819.html">Submitting a Workflow Job</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2392.html b/docs/mrs/component-operation-guide/mrs_01_2392.html
new file mode 100644
index 000000000..9892da468
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2392.html
@@ -0,0 +1,96 @@
+<a name="mrs_01_2392"></a><a name="mrs_01_2392"></a>
+
+<h1 class="topictitle1">Submitting a DistCp Job</h1>
+<div id="body0000001124440649"><div class="section" id="mrs_01_2392__sc367440a9bee4ae9a15baede2902cc54"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_2392__ae05864fc43454b69888e41725935e74b">This section describes how to submit a DistCp job using the Oozie client.</p>
+<div class="note" id="mrs_01_2392__n55f8e36fffd341878eb6390e2a633e8f"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2392__a5d75fccba647482fb315a28ee027d87a">You are advised to download the latest client.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_2392__s03008bf64de9424c83937093f6557919"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_2392__u6075e1bead804d118aeb83a52bc084ca"><li id="mrs_01_2392__l59e2fa74571d485bb4861d104ade63ea">The HDFS and Oozie components and clients have been installed and are running properly.<p id="mrs_01_2392__a809de3689b214dd0bdc79d7e35fbae9c"><a name="mrs_01_2392__l59e2fa74571d485bb4861d104ade63ea"></a><a name="l59e2fa74571d485bb4861d104ade63ea"></a>If the current client is an earlier version, you need to download and install the client again.</p>
+</li><li id="mrs_01_2392__l8ff319393ec949d9ae45feea7e19d290">You have created or obtained the human-machine account and password for accessing the Oozie service.<div class="note" id="mrs_01_2392__note315568028334"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_2392__ul155757648334"><li id="mrs_01_2392__li59641568334">This user must belong to the <strong id="mrs_01_2392__b12537165924011">hadoop</strong>, <strong id="mrs_01_2392__b55428599407">supergroup</strong>, and <strong id="mrs_01_2392__b55431759124011">hive</strong> groups and be assigned with the Oozie role operation permission. If the multi-instance function is enabled for Hive, the user must belong to a specific Hive instance group, for example, <strong id="mrs_01_2392__b5621264117">hive3</strong>.</li><li id="mrs_01_2392__li536774108334">This user must also be assigned the <strong id="mrs_01_2392__b13380175114119">manager_viewer</strong> role at least.</li></ul>
+</div></div>
+</li></ul>
+</div>
+<ul id="mrs_01_2392__ul589917804210"><li id="mrs_01_2392__l67e29a0db3d64a01ba3c8f8a242fffe2">You have obtained the URL of the Oozie server (any instance) in the running state, for example, <strong id="mrs_01_2392__b1687199144114">https://10.1.130.10:21003/oozie</strong>.</li><li id="mrs_01_2392__l99b45eddd6bd47d3bb30ccde42dd5c80">You have obtained the name of the Oozie server, for example, <strong id="mrs_01_2392__b362317157416">10-1-130-10</strong>.</li><li id="mrs_01_2392__l33cbb5dabf1d4b61ac772fc3ec3c3e4a">You have obtained the IP address of the active Yarn ResourceManager, for example, <strong id="mrs_01_2392__b18868182011411">10.1.130.11</strong>.</li></ul>
+<div class="section" id="mrs_01_2392__section440189144115"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_2392__oc881cfc28d414306af1adbbbf4a00b1b"><li id="mrs_01_2392__l7935c910b03545e0a5867ca4d3b2c006"><span>Log in to the node where the Oozie client is installed as the client installation user .</span></li><li id="mrs_01_2392__lfce2496a67db4306afc7110e3058abea"><span>Run the following command to obtain the installation environment. <span class="filepath" id="mrs_01_2392__filepath533613231948"><b>/opt/client/</b></span> is an example client installation path.</span><p><p id="mrs_01_2392__a9fe0ea3f05954692816d1ed270ff6e25"><strong id="mrs_01_2392__ad8409f5d475a4974b1a119c7e03644bc">source /opt/client/bigdata_env</strong></p>
+</p></li><li id="mrs_01_2392__l1875b9398af340e1844211cfd2f8272d"><span>Check the cluster authentication mode.</span><p><ul id="mrs_01_2392__u553e435dd8f84be8a18ff92d6d24725a"><li id="mrs_01_2392__ld507b00926e44383b9343a4bc2adbeb3">If the cluster is in security mode, run the <strong id="mrs_01_2392__b27365575417">kinit</strong> command to authenticate users.<p id="mrs_01_2392__a6f9517958c83424ea524bf7781acc911">For example, the <strong id="mrs_01_2392__b621215144217">oozieuser</strong> user is authenticated using the following command:</p>
+<p id="mrs_01_2392__ae4d53a149513466187a4bf7a3651dda3"><strong id="mrs_01_2392__b218349103537">kinit oozieuser</strong></p>
+</li><li id="mrs_01_2392__l4c6e11eac05d4977a9b756054fd46659">If the cluster is in normal mode, go to <a href="#mrs_01_2392__lcc62479277a945d99a305c3a8402a40d">4</a>.</li></ul>
+</p></li><li id="mrs_01_2392__lcc62479277a945d99a305c3a8402a40d"><a name="mrs_01_2392__lcc62479277a945d99a305c3a8402a40d"></a><a name="lcc62479277a945d99a305c3a8402a40d"></a><span>Run the following command to go to the example directory:</span><p><p id="mrs_01_2392__a6a361a015c424467b72a12dcbb292aaf"><strong id="mrs_01_2392__a2ec98494ecb742d3aa186b2d18928c32">cd /opt/client/Oozie/oozie-client-*/examples/apps/distcp/</strong></p>
+<p id="mrs_01_2392__aa736f6a3b96b40c0b60acd1d8626c64f"><a href="#mrs_01_2392__ta1113e97d79c4106a91f5e20da6899e0">Table 1</a> lists the files that you need to pay attention to in the directory.</p>
+
+<div class="tablenoborder"><a name="mrs_01_2392__ta1113e97d79c4106a91f5e20da6899e0"></a><a name="ta1113e97d79c4106a91f5e20da6899e0"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2392__ta1113e97d79c4106a91f5e20da6899e0" frame="border" border="1" rules="all"><caption><b>Table 1 </b>File description</caption><thead align="left"><tr id="mrs_01_2392__r4aa1a6ae8d4346328f92540884cca876"><th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.4.2.4.2.3.2.3.1.1"><p id="mrs_01_2392__a16a9e33c6cbd4b898c5205ffd33d6036">File</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.4.2.4.2.3.2.3.1.2"><p id="mrs_01_2392__ab8b5f25780904c488a54fa26e79a8446">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2392__rdb5a7205478d49d7a5ff58bb41798174"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.4.2.3.2.3.1.1 "><p id="mrs_01_2392__afb57a440373e48b8b06b50fa052385c7">job.properties</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.4.2.3.2.3.1.2 "><p id="mrs_01_2392__aa99f6c5fc08a4b558f4f5b658f73af02">Parameter definition file of a workflow</p>
+</td>
+</tr>
+<tr id="mrs_01_2392__r280e2c0ce768422d970506fb7530754e"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.4.2.3.2.3.1.1 "><p id="mrs_01_2392__a11a9d0dfd7c34ae2bbef3a5513508fa0">workflow.xml</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.2.4.2.3.2.3.1.2 "><p id="mrs_01_2392__a6b5bf5dcae684e0c878e0c5c4afa0832">Rule definition file of a workflow</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_2392__lc81b755786704225844019d5c86d4966"><span>Run the following command to edit the <span class="filepath" id="mrs_01_2392__f10654170ccf1449792b1ffc3ab2861cf"><b>job.properties</b></span> file:</span><p><p id="mrs_01_2392__aeb6f21eba3514b47a2fa841358454342"><strong id="mrs_01_2392__aba9fb7bb776346d8a3aeeeccee1188bb">vi job.properties</strong></p>
+<p id="mrs_01_2392__a8f8cfb46c2c24c45b7a75afcc79efba6">Perform the following modifications:</p>
+<p id="mrs_01_2392__p934881516612">Change the value of <strong id="mrs_01_2392__b5638131924313">userName</strong> to the name of the human-machine user who submits the job, for example, <strong id="mrs_01_2392__b187325334431">userName=oozieuser</strong>.</p>
+</p></li><li id="mrs_01_2392__li99573433720"><span>Whether DistCp is not deployed across security clusters.</span><p><ul id="mrs_01_2392__ul1358116157274"><li id="mrs_01_2392__li258120156277">If yes, go to <a href="#mrs_01_2392__li57541420123918">7</a>.</li><li id="mrs_01_2392__li5581315132715">If no, go to <a href="#mrs_01_2392__lcabd43b3fb314898bc19ded29c90a2b3">9</a>.</li></ul>
+</p></li><li id="mrs_01_2392__li57541420123918"><a name="mrs_01_2392__li57541420123918"></a><a name="li57541420123918"></a><span>Establish cross-Manager mutual trust between two clusters.</span></li><li id="mrs_01_2392__li15561103713183"><span>Run the following commands to back up and modify the <strong id="mrs_01_2392__b1782718619453">workflow.xml</strong> file:</span><p><p id="mrs_01_2392__p9958613132012"><strong id="mrs_01_2392__b20125123211202">cp workflow.xml workflow.xml.bak</strong></p>
+<p id="mrs_01_2392__p118059188193"><strong id="mrs_01_2392__b13126832122013">vi workflow.xml</strong></p>
+<p id="mrs_01_2392__p24567342208">Modify the following content:</p>
+<pre class="screen" id="mrs_01_2392__screen19550552163312">&lt;workflow-app xmlns="uri:oozie:workflow:1.0" name="distcp-wf"&gt;
+    &lt;start to="distcp-node"/&gt;
+    &lt;action name="distcp-node"&gt;
+        &lt;distcp xmlns="uri:oozie:distcp-action:1.0"&gt;
+            &lt;resource-manager&gt;${resourceManager}&lt;/resource-manager&gt;
+            &lt;name-node&gt;${nameNode}&lt;/name-node&gt;
+            &lt;prepare&gt;
+                &lt;delete path="hdfs://<strong id="mrs_01_2392__b565134011916">target_ip:target_port</strong>/user/${userName}/${examplesRoot}/output-data/${outputDir}"/&gt;
+            &lt;/prepare&gt;
+            &lt;configuration&gt;
+                &lt;property&gt;
+                    &lt;name&gt;mapred.job.queue.name&lt;/name&gt;
+                    &lt;value&gt;${queueName}&lt;/value&gt;
+                &lt;/property&gt;
+                &lt;property&gt;
+                    &lt;name&gt;oozie.launcher.mapreduce.job.hdfs-servers&lt;/name&gt;
+                    &lt;value&gt;hdfs://<strong id="mrs_01_2392__b198406192012">source_ip:source_port</strong>,hdfs://target_ip:target_port&lt;/value&gt;
+                &lt;/property&gt;
+            &lt;/configuration&gt;
+            &lt;arg&gt;${nameNode}/user/${userName}/${examplesRoot}/input-data/text/data.txt&lt;/arg&gt;
+            &lt;arg&gt;hdfs://target_ip:target_port/user/${userName}/${examplesRoot}/output-data/${outputDir}/data.txt&lt;/arg&gt;
+            &lt;/distcp&gt;
+        &lt;ok to="end"/&gt;
+        &lt;error to="fail"/&gt;
+    &lt;/action&gt;
+    &lt;kill name="fail"&gt;
+        &lt;message&gt;DistCP failed, error message[${wf:errorMessage(wf:lastErrorNode())}]&lt;/message&gt;
+    &lt;/kill&gt;
+    &lt;end name="end"/&gt;
+&lt;/workflow-app&gt;</pre>
+<p id="mrs_01_2392__p188674216218"><strong id="mrs_01_2392__b1875910372454">target_ip:target_port</strong> is the HDFS active NameNode address of the other trusted cluster, for example, <strong id="mrs_01_2392__b285205254513">10.10.10.233:25000</strong>.</p>
+<p id="mrs_01_2392__p1028213313355"><strong id="mrs_01_2392__b2892101019463">source_ip:source_port</strong> indicates the HDFS active NameNode address of the source cluster, for example, <strong id="mrs_01_2392__b1864041954619">10.10.10.223:25000</strong>.</p>
+<p id="mrs_01_2392__p374916116378">Change the two IP addresses and port numbers based on the site requirements.</p>
+</p></li><li id="mrs_01_2392__lcabd43b3fb314898bc19ded29c90a2b3"><a name="mrs_01_2392__lcabd43b3fb314898bc19ded29c90a2b3"></a><a name="lcabd43b3fb314898bc19ded29c90a2b3"></a><span>Run the <strong id="mrs_01_2392__b1540422619469">oozie job</strong> command to run the workflow file:</span><p><p id="mrs_01_2392__p54529342154411"><strong id="mrs_01_2392__b86452293465">oozie job -oozie https://</strong><em id="mrs_01_2392__i064682974614">Host name of the Oozie role</em><strong id="mrs_01_2392__b46461729124613">:21003/oozie/ -config job.properties -run</strong></p>
+<div class="note" id="mrs_01_2392__nab1e7bedb6514357b2d857cdd437f4c6"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_2392__u505e120ab7fc4d7dada573bbfaf0fb3a"><li id="mrs_01_2392__lb21c9804740942e0b20f979562530dfc">The command parameters are described as follows:<p id="mrs_01_2392__add0178af9cb74a7c8bc43ccde17e8056"><a name="mrs_01_2392__lb21c9804740942e0b20f979562530dfc"></a><a name="lb21c9804740942e0b20f979562530dfc"></a><strong id="mrs_01_2392__b13124939144615">-oozie</strong>                    URL of the Oozie server that executes a job</p>
+<p id="mrs_01_2392__ac71440e8b53147bcb42b441a9d6f02cf"><strong id="mrs_01_2392__b111018443465">-config</strong>                  Workflow property file</p>
+<p id="mrs_01_2392__a80ac946821e648c8b67f4d19e7a48dc0"><strong id="mrs_01_2392__b123914612464">-run</strong>                       Executing a workflow</p>
+</li><li id="mrs_01_2392__l8c662c9385fb4673b33ebe1261d2f945">If a job ID, for example, <span class="parmvalue" id="mrs_01_2392__parmvalue19188104312445"><b>job: 0000021-140222101051722-oozie-omm-W</b></span>, is displayed after the workflow file is executed, the job is successfully submitted. You can view the execution results on the Oozie management page.<p id="mrs_01_2392__a980a1632d7b44c7a819da7bd820778e9">Log in to the Oozie web UI at <strong id="mrs_01_2392__b3743774711">https</strong>://<em id="mrs_01_2392__i197957114710">IP address of the Oozie role</em><strong id="mrs_01_2392__b1791476475">:21003/oozie</strong> as user <strong id="mrs_01_2392__b280147124719">oozieuser</strong>.</p>
+<p id="mrs_01_2392__afb508a57fb504357a1e2a1483d95a2e0">On the Oozie web UI, you can view the submitted workflow information based on the job ID in the table on the page.</p>
+</li></ul>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1812.html">Using Oozie Client to Submit an Oozie Job</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2393.html b/docs/mrs/component-operation-guide/mrs_01_2393.html
new file mode 100644
index 000000000..d49b2dbe4
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2393.html
@@ -0,0 +1,18 @@
+<a name="mrs_01_2393"></a><a name="mrs_01_2393"></a>
+
+<h1 class="topictitle1">Enabling Ranger Authentication</h1>
+<div id="body0000001079247948"><div class="section" id="mrs_01_2393__s8ca259b185b249ea993481ef18fbe589"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_2393__af19157bd592044eaa44c1630dcdb96f2">This section guides you how to enable Ranger authentication. Ranger authentication is enabled by default in security mode and disabled by default in normal mode.</p>
+</div>
+<div class="section" id="mrs_01_2393__sb821aee499864a0598739905b0c6889b"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_2393__ol193789895412"><li id="mrs_01_2393__li96581632145518"><span>Log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. Choose <strong id="mrs_01_2393__b54331149175817">Cluster</strong> &gt; <strong id="mrs_01_2393__b330195265811">Services</strong> &gt; <em id="mrs_01_2393__i766253212551">Name of the service for which Ranger authentication is enabled</em>.</span></li><li id="mrs_01_2393__li2059919610510"><span>In the upper right corner of the <strong id="mrs_01_2393__b161318413598">Dashboard</strong> page, click <strong id="mrs_01_2393__b861524517595">More</strong> and select <strong id="mrs_01_2393__b1033917512596">Enable Ranger</strong>. In the displayed dialog box, enter the password and click <strong id="mrs_01_2393__b465844919013">OK</strong>. After the operation is successful, click <strong id="mrs_01_2393__b131851853704">Finish</strong>.</span><p><div class="note" id="mrs_01_2393__note189881622215"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2393__p399311223120">If <strong id="mrs_01_2393__b8774589010">Enable Ranger</strong> is dimmed, Ranger authentication is enabled, as shown in <a href="#mrs_01_2393__fig14437127109">Figure 1</a>.</p>
+</div></div>
+<div class="fignone" id="mrs_01_2393__fig14437127109"><a name="mrs_01_2393__fig14437127109"></a><a name="fig14437127109"></a><span class="figcap"><b>Figure 1 </b>Enabling Ranger Authentication</span><br><span><img id="mrs_01_2393__image6437571801" src="en-us_image_0000001349170313.png"></span></div>
+</p></li><li id="mrs_01_2393__li2044215529518"><span>Perform a rolling service restart or restart the service.</span></li></ol>
+<p id="mrs_01_2393__p1792965618598"></p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1849.html">Using Ranger (MRS 3.x)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2394.html b/docs/mrs/component-operation-guide/mrs_01_2394.html
new file mode 100644
index 000000000..089c8089e
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2394.html
@@ -0,0 +1,26 @@
+<a name="mrs_01_2394"></a><a name="mrs_01_2394"></a>
+
+<h1 class="topictitle1">Changing the Ranger Data Source to LDAP for a Normal Cluster</h1>
+<div id="body0000001079538254"><p id="mrs_01_2394__p14933932417">By default, the Ranger data source of the security cluster can be accessed by FusionInsight Manager LDAP users. By default, the Ranger data source of a common cluster can be accessed by Unix users.</p>
+<div class="section" id="mrs_01_2394__section1962618202513"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_2394__ul114830314266"><li id="mrs_01_2394__li174838392615">The cluster is in normal mode.</li><li id="mrs_01_2394__li3483103142610">The Ranger component has been installed.</li></ul>
+</div>
+<div class="section" id="mrs_01_2394__section187568105275"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_2394__ol1063312256295"><li id="mrs_01_2394__li492475445719"><span>Log in to the MRS console.</span></li><li id="mrs_01_2394__li1892419547578"><span>Choose <strong id="mrs_01_2394__b1239923318414">Clusters</strong> &gt; <strong id="mrs_01_2394__b12405333543">Active Clusters</strong>, select a running cluster, and click its name to go to its details page.</span></li><li id="mrs_01_2394__li5924135465716"><span>Click the <strong id="mrs_01_2394__b8376105513336">Nodes</strong> tab. On the <strong id="mrs_01_2394__b17872123253419">Nodes</strong> tab page that is displayed, expand the node group whose <strong id="mrs_01_2394__b14989718133513">Node Type</strong> is <strong id="mrs_01_2394__b7386101263512">Master</strong>.</span></li><li id="mrs_01_2394__li6924754195717"><span>Go to the ECS page of the active master node and click <strong id="mrs_01_2394__b1974133120514">Remote Login</strong>.</span></li></ol><ol start="5" id="mrs_01_2394__ol17236153314318"><li id="mrs_01_2394__li20236103313111"><span>Log in to a master node as user <strong id="mrs_01_2394__b13749114684917">root</strong>, go to the <strong id="mrs_01_2394__b18183042192717">/opt/</strong><strong id="mrs_01_2394__b10183442182712"></strong><strong id="mrs_01_2394__b2183114212272">Bigdata/components/FusionInsight_HD_<span id="mrs_01_2394__text1833465813714">8.1.0.1</span>/Ranger</strong> directory, and change the values of <strong id="mrs_01_2394__b1275114467495">ranger.usersync.sync.source</strong> and <strong id="mrs_01_2394__b1953553552815">ranger.usersync.cookie.enabled</strong> in the <strong id="mrs_01_2394__b18751194610497">configurations.xml</strong> file to <strong id="mrs_01_2394__b1075120468496">ldap</strong> and <strong id="mrs_01_2394__b64941851162812">false</strong>, respectively.</span><p><pre class="screen" id="mrs_01_2394__screen89451815183113">&lt;name&gt;ranger.usersync.sync.source&lt;/name&gt;
+&lt;value model="Sec"&gt;ldap&lt;/value&gt;
+&lt;value model="NoSec"&gt;<strong id="mrs_01_2394__b37229330297">ldap</strong>&lt;/value&gt;</pre>
+<pre class="screen" id="mrs_01_2394__screen2014711327">&lt;name&gt;ranger.usersync.cookie.enabled&lt;/name&gt;
+&lt;value&gt;<strong id="mrs_01_2394__b33102155326">false</strong>&lt;/value&gt;</pre>
+<div class="note" id="mrs_01_2394__note13773198153115"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2394__p377312814311"><strong id="mrs_01_2394__b451811515295">Change the value of this parameter on all master nodes.</strong></p>
+</div></div>
+</p></li><li id="mrs_01_2394__li01683365337"><span>Run the following commands on the active Master node to restart the controller process:</span><p><p id="mrs_01_2394__p1794937133317"><strong id="mrs_01_2394__b193818502712">su - omm</strong></p>
+<p id="mrs_01_2394__p64949952418"><strong id="mrs_01_2394__b1145850471">sh /opt/Bigdata/om-server_<span id="mrs_01_2394__text4558531980">8.1.0.1</span>/om/sbin/restart-controller.sh</strong></p>
+<div class="note" id="mrs_01_2394__note127694358916"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2394__p1977053515912">During controller restart, Manager becomes inaccessible temporarily. After the restart is complete, Manager can be accessed properly.</p>
+</div></div>
+</p></li><li id="mrs_01_2394__li1080017419347"><span>Log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. Choose <strong id="mrs_01_2394__b6723141131219">Cluster</strong> &gt; <strong id="mrs_01_2394__b16279155116127">Services</strong> &gt; <strong id="mrs_01_2394__b18211125414128">Ranger</strong>. In the upper right corner of the <strong id="mrs_01_2394__b3897135171310">Dashboard</strong> page, click <strong id="mrs_01_2394__b87086711318">More</strong> and choose <strong id="mrs_01_2394__b19616142121315">Synchronize Configuration</strong>.</span></li><li id="mrs_01_2394__li2075315151819"><span>On the Ranger instance page, select the <strong id="mrs_01_2394__b2144173011317">UserSync</strong> instance and choose <strong id="mrs_01_2394__b16808103516134">More</strong> &gt; <strong id="mrs_01_2394__b1662718386130">Restart Instance</strong>.</span></li><li id="mrs_01_2394__li16954121420341"><span>On the <strong id="mrs_01_2394__b165401311176">Dashboard</strong> page of the Ranger service, click <strong id="mrs_01_2394__b1227818816182">RangerAdmin</strong> and choose <strong id="mrs_01_2394__b133242158189">Settings</strong> &gt; <strong id="mrs_01_2394__b131187171184">Users/Groups/Roles</strong> to check whether LDAP users exist.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1849.html">Using Ranger (MRS 3.x)</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2398.html b/docs/mrs/component-operation-guide/mrs_01_2398.html
new file mode 100644
index 000000000..55bd2758b
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_2398.html
@@ -0,0 +1,189 @@
+<a name="mrs_01_2398"></a><a name="mrs_01_2398"></a>
+
+<h1 class="topictitle1">Creating a ClickHouse Table</h1>
+<div id="body0000001080812946"><p id="mrs_01_2398__p208931159813">ClickHouse implements the replicated table mechanism based on the ReplicatedMergeTree engine and ZooKeeper. When creating a table, you can specify an engine to determine whether the table is highly available. Shards and replicas of each table are independent of each other.</p>
+<p id="mrs_01_2398__p175761923215">ClickHouse also implements the distributed table mechanism based on the Distributed engine. Views are created on all shards (local tables) for distributed query, which is easy to use. ClickHouse has the concept of data sharding, which is one of the features of distributed storage. That is, parallel read and write are used to improve efficiency.</p>
+<p id="mrs_01_2398__p554421512177">The ClickHouse cluster table engine that uses Kunpeng as the CPU architecture does not support HDFS and Kafka.</p>
+<div class="section" id="mrs_01_2398__section1386435625"><a name="mrs_01_2398__section1386435625"></a><a name="section1386435625"></a><h4 class="sectiontitle">Viewing cluster and Other Environment Parameters of ClickHouse</h4><ol id="mrs_01_2398__ol1957054154819"><li id="mrs_01_2398__li538035105918"><span>Use the ClickHouse client to connect to the ClickHouse server by referring to <a href="mrs_01_2345.html">Using ClickHouse from Scratch</a>.</span></li><li id="mrs_01_2398__li5153155032517"><a name="mrs_01_2398__li5153155032517"></a><a name="li5153155032517"></a><span>Query the cluster identifier and other information about the environment parameters.</span><p><div class="p" id="mrs_01_2398__p9611951122514"><strong id="mrs_01_2398__b129808844916">select cluster,shard_num,replica_num,host_name from system.clusters;</strong><pre class="screen" id="mrs_01_2398__screen8405017103510">SELECT 
+    cluster, 
+    shard_num, 
+    replica_num, 
+    host_name
+FROM system.clusters
+
+┌─cluster───────────┬─shard_num─┬─replica_num─┬─host_name──────── ┐
+│ default_cluster_1             │         1   │           1   │ node-master1dOnG           │
+│ default_cluster_1             │         1   │           2   │ node-group-1tXED0001       │
+│ default_cluster_1             │         2   │           1   │ node-master2OXQS           │
+│ default_cluster_1             │         2   │           2   │ node-group-1tXED0002       │
+│ default_cluster_1             │         3   │           1   │ node-master3QsRI           │
+│ default_cluster_1             │         3   │           2   │ node-group-1tXED0003       │
+└─────────────── ┴────── ┴─────── ┴──────────────┘
+
+6 rows in set. Elapsed: 0.001 sec. </pre>
+</div>
+</p></li><li id="mrs_01_2398__li1218412042615"><span>Query the shard and replica identifiers.</span><p><div class="p" id="mrs_01_2398__p830342012262"><strong id="mrs_01_2398__b1421463415524">select * from system.macros</strong>;<pre class="screen" id="mrs_01_2398__screen2099122833617">SELECT *
+FROM system.macros
+
+┌─macro───┬─substitution─────┐
+│ id          │ 76                     │
+│ replica     │ node-master3QsRI       │
+│ shard       │ 3                      │
+└────── ┴────────────┘
+
+3 rows in set. Elapsed: 0.001 sec. </pre>
+</div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_2398__section1564103819477"><a name="mrs_01_2398__section1564103819477"></a><a name="section1564103819477"></a><h4 class="sectiontitle">Creating a Local Replicated Table and a distributed Table</h4><ol id="mrs_01_2398__ol153625504550"><li id="mrs_01_2398__li113629503556"><span>Log in to the ClickHouse node using the client, for example, <strong id="mrs_01_2398__b16274593274">clickhouse client --host </strong><em id="mrs_01_2398__i82561265918">node-master3QsRI</em> <strong id="mrs_01_2398__b7247132155916">--multiline --port 9440 --secure</strong><strong id="mrs_01_2398__b6701179145212">;</strong></span><p><div class="note" id="mrs_01_2398__note166161431173220"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2398__p20616531163220"><em id="mrs_01_2398__i2208181819519">node-master3QsRI</em> is the value of <strong id="mrs_01_2398__b1950112016617">host_name</strong> obtained in <a href="#mrs_01_2398__li5153155032517">2</a> in <a href="#mrs_01_2398__section1386435625">Viewing cluster and Other Environment Parameters of ClickHouse</a>.</p>
+</div></div>
+</p></li><li id="mrs_01_2398__li89698281356"><a name="mrs_01_2398__li89698281356"></a><a name="li89698281356"></a><span>Create a replicated table using the ReplicatedMergeTree engine.</span><p><p id="mrs_01_2398__p940814301254">For details about the syntax, see <a href="https://clickhouse.tech/docs/en/engines/table-engines/mergetree-family/replication/#creating-replicated-tables" target="_blank" rel="noopener noreferrer">https://clickhouse.tech/docs/en/engines/table-engines/mergetree-family/replication/#creating-replicated-tables</a>.</p>
+<p id="mrs_01_2398__p4377122294412">For example, run the following commands to create a ReplicatedMergeTree table named <strong id="mrs_01_2398__b2505161211116">test</strong> on the <strong id="mrs_01_2398__b41241019101110">default_cluster_1</strong> node and in the <strong id="mrs_01_2398__b21361051509">default</strong> database:</p>
+<p id="mrs_01_2398__p5771818194417"><strong id="mrs_01_2398__b27731814417">CREATE TABLE </strong><em id="mrs_01_2398__i477121818445">default.test </em><strong id="mrs_01_2398__b877131814413">ON CLUSTER </strong><em id="mrs_01_2398__i17771518114414">default_cluster_1</em></p>
+<p id="mrs_01_2398__p1177111894416"><strong id="mrs_01_2398__b277141894417">(</strong></p>
+<p id="mrs_01_2398__p277171884419"><strong id="mrs_01_2398__b2779184447">`EventDate` DateTime,</strong></p>
+<p id="mrs_01_2398__p87713185442"><strong id="mrs_01_2398__b1177201834415">`id` UInt64</strong></p>
+<p id="mrs_01_2398__p1477191811448"><strong id="mrs_01_2398__b17716188441">)</strong></p>
+<p id="mrs_01_2398__p37711854412"><strong id="mrs_01_2398__b16771718104414">ENGINE = ReplicatedMergeTree('</strong><em id="mrs_01_2398__i11728104617217">/clickhouse/tables/{shard}/default/test</em><strong id="mrs_01_2398__b474819331917">', '</strong><em id="mrs_01_2398__i18771718114419">{replica}</em>'<strong id="mrs_01_2398__b162534142816">)</strong></p>
+<p id="mrs_01_2398__p117719186449"><strong id="mrs_01_2398__b15778186443">PARTITION BY toYYYYMM(EventDate)</strong></p>
+<p id="mrs_01_2398__p157851815448"><strong id="mrs_01_2398__b97881884419">ORDER BY id;</strong></p>
+<p id="mrs_01_2398__p1471456273">The parameters are described as follows:</p>
+<ul id="mrs_01_2398__ul5826184392617"><li id="mrs_01_2398__li78492215273">The <strong id="mrs_01_2398__b8497737174210">ON CLUSTER</strong> syntax indicates the distributed DDL, that is, the same local table can be created on all instances in the cluster after the statement is executed once.</li><li id="mrs_01_2398__li5849926277"><strong id="mrs_01_2398__b7665135114157">default_cluster_1</strong> is the cluster identifier obtained in <a href="#mrs_01_2398__li5153155032517">2</a> in <a href="#mrs_01_2398__section1386435625">Viewing cluster and Other Environment Parameters of ClickHouse</a>.<div class="caution" id="mrs_01_2398__note819385317274"><span class="cautiontitle"><img src="public_sys-resources/caution_3.0-en-us.png"> </span><div class="cautionbody"><div class="p" id="mrs_01_2398__p1014412157281"><strong id="mrs_01_2398__b1913054182814">ReplicatedMergeTree</strong> engine receives the following two parameters:<ul id="mrs_01_2398__ul181301416284"><li id="mrs_01_2398__li267514545410">Storage path of the table data in ZooKeeper<p id="mrs_01_2398__p18351555104120"><a name="mrs_01_2398__li267514545410"></a><a name="li267514545410"></a>The path must be in the <strong id="mrs_01_2398__b3452122911466">/clickhouse</strong> directory. Otherwise, data insertion may fail due to insufficient ZooKeeper quota.</p>
+<p id="mrs_01_2398__p1627114314303">To avoid data conflict between different tables in ZooKeeper, the directory must be in the following format:</p>
+<p id="mrs_01_2398__p1116223613"><em id="mrs_01_2398__i161303412288">/clickhouse/tables/{shard}</em><strong id="mrs_01_2398__b5332112813481">/</strong><em id="mrs_01_2398__i4130114142816">default/test</em>, in which <strong id="mrs_01_2398__b197871457154816">/clickhouse/tables/{shard}</strong> is fixed, <em id="mrs_01_2398__i274714326496">default</em> indicates the database name, and <em id="mrs_01_2398__i3204619185016">text</em> indicates the name of the created table.</p>
+</li><li id="mrs_01_2398__li12131845288">Replica name: Generally, <strong id="mrs_01_2398__b55925919513">{replica}</strong> is used.</li></ul>
+</div>
+</div></div>
+</li></ul>
+<pre class="screen" id="mrs_01_2398__screen799161105419">CREATE TABLE default.test ON CLUSTER default_cluster_1
+(
+    `EventDate` DateTime, 
+    `id` UInt64
+)
+ENGINE = ReplicatedMergeTree('/clickhouse/tables/{shard}/default/test', '{replica}')
+PARTITION BY toYYYYMM(EventDate)
+ORDER BY id
+
+┌─host─────────────────┬─port─┬─status─┬─error─┬─num_hosts_remaining─┬─num_hosts_active─┐
+│ node-group-1tXED0002                   │  9000  │      0   │         │                   5   │                3   │
+│ node-group-1tXED0003                   │  9000  │      0   │         │                   4   │                3   │
+│ node-master1dOnG                       │  9000  │      0   │         │                   3   │                3   │
+└────────────────────┴────┴─────┴──── ┴─────────── ┴──────────┘
+┌─host─────────────────┬─port─┬─status─┬─error─┬─num_hosts_remaining─┬─num_hosts_active─┐
+│ node-master3QsRI                       │  9000  │      0   │         │                   2   │                0   │
+│ node-group-1tXED0001                   │  9000  │      0   │         │                   1   │                0   │
+│ node-master2OXQS                       │  9000  │      0   │         │                   0   │                0   │
+└────────────────────┴────┴─────┴──── ┴─────────── ┴──────────┘
+
+6 rows in set. Elapsed: 0.189 sec. </pre>
+</p></li><li id="mrs_01_2398__li16616143173215"><a name="mrs_01_2398__li16616143173215"></a><a name="li16616143173215"></a><span>Create a distributed table using the Distributed engine.</span><p><p id="mrs_01_2398__p1199141904510">For example, run the following commands to create a distributed table named <strong id="mrs_01_2398__b1551401212">test_all</strong> on the <strong id="mrs_01_2398__b175515014113">default_cluster_1</strong> node and in the <strong id="mrs_01_2398__b831291615112">default</strong> database:</p>
+<p id="mrs_01_2398__p5770017134511"><strong id="mrs_01_2398__b9770917104519">CREATE TABLE </strong><em id="mrs_01_2398__i12770181716452">default.test_all </em><strong id="mrs_01_2398__b18770191710456">ON CLUSTER </strong><em id="mrs_01_2398__i107701017194513">default_cluster_1</em></p>
+<p id="mrs_01_2398__p77701017194512"><strong id="mrs_01_2398__b57701917174519">(</strong></p>
+<p id="mrs_01_2398__p147709172459"><strong id="mrs_01_2398__b47702017154513">`EventDate` DateTime,</strong></p>
+<p id="mrs_01_2398__p3770171715451"><strong id="mrs_01_2398__b677021717455">`id` UInt64</strong></p>
+<p id="mrs_01_2398__p1877081704511"><strong id="mrs_01_2398__b1877071716455">)</strong></p>
+<p id="mrs_01_2398__p157701617174511"><strong id="mrs_01_2398__b9770917154515">ENGINE = Distributed(</strong><em id="mrs_01_2398__i147705178458">default_cluster_1, default, test, rand()</em><strong id="mrs_01_2398__b1577031710451">)</strong><strong id="mrs_01_2398__b14536102818523">;</strong></p>
+<pre class="screen" id="mrs_01_2398__screen7673659135417">CREATE TABLE default.test_all ON CLUSTER default_cluster_1
+(
+    `EventDate` DateTime, 
+    `id` UInt64
+)
+ENGINE = Distributed(default_cluster_1, default, test, rand())
+
+┌─host─────────────────┬─port─┬─status─┬─error─┬─num_hosts_remaining─┬─num_hosts_active─┐
+│ node-group-1tXED0002                   │  9000  │      0   │         │                   5   │                0   │
+│ node-master3QsRI                       │  9000  │      0   │         │                   4   │                0   │
+│ node-group-1tXED0003                   │  9000  │      0   │         │                   3   │                0   │
+│ node-group-1tXED0001                   │  9000  │      0   │         │                   2   │                0   │
+│ node-master1dOnG                       │  9000  │      0   │         │                   1   │                0   │
+│ node-master2OXQS                       │  9000  │      0   │         │                   0   │                0   │
+└────────────────────┴────┴─────┴──── ┴─────────── ┴──────────┘
+
+6 rows in set. Elapsed: 0.115 sec. 
+</pre>
+<div class="note" id="mrs_01_2398__note10770417184513"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2398__p37704175456"><strong id="mrs_01_2398__b19313815142514">Distributed</strong> requires the following parameters:</p>
+<ul id="mrs_01_2398__ul377081711453"><li id="mrs_01_2398__li1577041711458"><strong id="mrs_01_2398__b08700363255">default_cluster_1</strong> is the cluster identifier obtained in <a href="#mrs_01_2398__li5153155032517">2</a> in <a href="#mrs_01_2398__section1386435625">Viewing cluster and Other Environment Parameters of ClickHouse</a>.</li><li id="mrs_01_2398__li6770151713451"><strong id="mrs_01_2398__b0109921122618">default</strong> indicates the name of the database where the local table is located.</li><li id="mrs_01_2398__li15770101714518"><strong id="mrs_01_2398__b84824346263">test</strong> indicates the name of the local table. In this example, it is the name of the table created in <a href="#mrs_01_2398__li89698281356">2</a>.</li><li id="mrs_01_2398__li477011720455">(Optional) Sharding key<p id="mrs_01_2398__p11770317124511"><a name="mrs_01_2398__li477011720455"></a><a name="li477011720455"></a>This key and the weight configured in the <strong id="mrs_01_2398__b3913192002818">config.xml</strong> file determine the route for writing data to the distributed table, that is, the physical table to which the data is written. It can be the original data (for example, <strong id="mrs_01_2398__b13921957183213">site_id</strong>) of a column in the table or the result of the function call, for example, <strong id="mrs_01_2398__b1440111239354">rand()</strong> is used in the preceding SQL statement. Note that data must be evenly distributed in this key. Another common operation is to use the hash value of a column with a large difference, for example, <strong id="mrs_01_2398__b1927815414384">intHash64(user_id)</strong>.</p>
+</li></ul>
+</div></div>
+</p></li></ol>
+<p id="mrs_01_2398__p121560068"></p>
+</div>
+<div class="section" id="mrs_01_2398__section16955425614"><h4 class="sectiontitle">ClickHouse Table Data Operations</h4><ol id="mrs_01_2398__ol97995531379"><li id="mrs_01_2398__li5566814132614"><span>Log in to the ClickHouse node on the client. Example:</span><p><div class="p" id="mrs_01_2398__p1671565910268"><strong id="mrs_01_2398__b831563420131">clickhouse client --host </strong><em id="mrs_01_2398__i1231519349137">node-master3QsRI</em> <strong id="mrs_01_2398__b3315173431319">--multiline --port 9440  --secure</strong><strong id="mrs_01_2398__b1431633465220">;</strong><div class="note" id="mrs_01_2398__note16315734181320"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2398__p9316734201319"><em id="mrs_01_2398__i456835194613">node-master3QsRI</em> is the value of <strong id="mrs_01_2398__b1357163584617">host_name</strong> obtained in <a href="#mrs_01_2398__li5153155032517">2</a> in <a href="#mrs_01_2398__section1386435625">Viewing cluster and Other Environment Parameters of ClickHouse</a>.</p>
+</div></div>
+</div>
+</p></li><li id="mrs_01_2398__li77990531075"><a name="mrs_01_2398__li77990531075"></a><a name="li77990531075"></a><span>After creating a table by referring to <a href="#mrs_01_2398__section1564103819477">Creating a Local Replicated Table and a distributed Table</a>, you can insert data to the local table.</span><p><p id="mrs_01_2398__p38631290916">For example, run the following command to insert data to the local table <strong id="mrs_01_2398__b87201245184713">test</strong>:</p>
+<p id="mrs_01_2398__p21561929895"><strong id="mrs_01_2398__b51591856591">insert into test values(toDateTime(now()), rand());</strong></p>
+</p></li><li id="mrs_01_2398__li174567159811"><span>Query the local table information.</span><p><p id="mrs_01_2398__p1772132341110">For example, run the following command to query data information of the table <strong id="mrs_01_2398__b6166201254914">test</strong> in <a href="#mrs_01_2398__li77990531075">2</a>:</p>
+<p id="mrs_01_2398__p377213237119"><strong id="mrs_01_2398__b15101244201216">select * from test;</strong></p>
+<pre class="screen" id="mrs_01_2398__screen1772023201111">SELECT *
+FROM test
+
+┌───────────EventDate─┬─────────id─┐
+│ 2020-11-05 21:10:42             │ 1596238076           │
+└──────────────── ┴───────────┘
+
+1 rows in set. Elapsed: 0.002 sec. 
+ </pre>
+</p></li><li id="mrs_01_2398__li207721423131112"><span>Query the distributed table.</span><p><p id="mrs_01_2398__p14792616141518">For example, the distributed table <strong id="mrs_01_2398__b653573115112">test_all</strong> is created based on table <strong id="mrs_01_2398__b15741878512">test</strong> in <a href="#mrs_01_2398__li16616143173215">3</a>. Therefore, the same data in table <strong id="mrs_01_2398__b7519103865313">test</strong> can also be queried in table <strong id="mrs_01_2398__b19525919125219">test_all</strong>.</p>
+<p id="mrs_01_2398__p754612358162"><strong id="mrs_01_2398__b201111843111613">select * from test_all;</strong></p>
+<pre class="screen" id="mrs_01_2398__screen452114464163">SELECT *
+FROM test_all
+
+┌───────────EventDate─┬─────────id─┐
+│ 2020-11-05 21:10:42             │ 1596238076           │
+└──────────────── ┴───────────┘
+
+1 rows in set. Elapsed: 0.004 sec. </pre>
+</p></li><li id="mrs_01_2398__li157912091411"><span>Switch to the shard node with the same <strong id="mrs_01_2398__b1194280115912">shard_num</strong> and query the information about the current table. The same table data can be queried.</span><p><p id="mrs_01_2398__p18538125103010">For example, run the <strong id="mrs_01_2398__b19445159123111">exit;</strong> command to exit the original node.</p>
+<p id="mrs_01_2398__p4237337143110">Run the following command to switch to the <strong id="mrs_01_2398__b9816193220311">node-group-1tXED0003</strong> node:</p>
+<p id="mrs_01_2398__p1630945819213"><strong id="mrs_01_2398__b930915812118">clickhouse client --host </strong><em id="mrs_01_2398__i2309105817213">node-group-1tXED0003</em> <strong id="mrs_01_2398__b1230910588214">--multiline --port 9440  --secure</strong><strong id="mrs_01_2398__b13852455298">;</strong></p>
+<div class="note" id="mrs_01_2398__note14309058182114"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2398__p1330911588214">The <strong id="mrs_01_2398__b250416131514">shard_num</strong> values of <strong id="mrs_01_2398__b129831918916">node-group-1tXED0003</strong> and <strong id="mrs_01_2398__b1425362916115">node-master3QsRI</strong> are the same by performing <a href="#mrs_01_2398__li5153155032517">2</a>.</p>
+</div></div>
+<p id="mrs_01_2398__p9309185822115"><strong id="mrs_01_2398__b43092058152111">show tables</strong><strong id="mrs_01_2398__b187051847142918">;</strong></p>
+<pre class="screen" id="mrs_01_2398__screen12309195882118">SHOW TABLES
+
+┌─name─────┐
+│ test           │
+│ test_all       │
+└────────┘
+ </pre>
+</p></li><li id="mrs_01_2398__li53091658152116"><span>Query the local table data. For example, run the following command to query data in table <strong id="mrs_01_2398__b18482714416">test</strong> on the <strong id="mrs_01_2398__b119424107511">node-group-1tXED0003</strong> node:</span><p><div class="p" id="mrs_01_2398__p465969132410"><strong id="mrs_01_2398__b108661612112419">select * from test;</strong><pre class="screen" id="mrs_01_2398__screen14156163642318">SELECT *
+FROM test
+
+┌───────────EventDate─┬─────────id─┐
+│ 2020-11-05 21:10:42             │ 1596238076           │
+└──────────────── ┴───────────┘
+
+1 rows in set. Elapsed: 0.005 sec. 
+</pre>
+</div>
+</p></li><li id="mrs_01_2398__li178971023182316"><span>Switch to the shard node with different <strong id="mrs_01_2398__b1379919419515">shard_num</strong> value and query the data of the created table.</span><p><p id="mrs_01_2398__p1193083411258">For example, run the following command to exit the <strong id="mrs_01_2398__b9137163716713">node-group-1tXED0003</strong> node:</p>
+<p id="mrs_01_2398__p19842618155313"><strong id="mrs_01_2398__b1495722213538">exit;</strong></p>
+<p id="mrs_01_2398__p718418386333">Switch to the <strong id="mrs_01_2398__b6833841180">node-group-1tXED0001</strong> node. The <strong id="mrs_01_2398__b10711221183">shard_num</strong> values of <strong id="mrs_01_2398__b6813227816">node-group-1tXED0001</strong> and <strong id="mrs_01_2398__b19882214814">node-master3QsRI</strong> are different by performing <a href="#mrs_01_2398__li5153155032517">2</a>.</p>
+<p id="mrs_01_2398__p10534113552616"><strong id="mrs_01_2398__b68591651102611">clickhouse client --host </strong><em id="mrs_01_2398__i295120122712">node-group-1tXED0001</em> <strong id="mrs_01_2398__b20859135102613">--multiline --port 9440  --secure;</strong></p>
+<p id="mrs_01_2398__p52839372718">Query the local table <strong id="mrs_01_2398__b26441816134615">test</strong>. Data cannot be queried on the different shard node because table <strong id="mrs_01_2398__b114313531595">test</strong> is a local table.</p>
+<p id="mrs_01_2398__p1537613351279"><strong id="mrs_01_2398__b4973620122818">select * from test</strong><strong id="mrs_01_2398__b1162817447150">;</strong></p>
+<pre class="screen" id="mrs_01_2398__screen19270194052717">SELECT *
+FROM test
+
+Ok.</pre>
+<p id="mrs_01_2398__p4466175110158">Query data in the distributed table <strong id="mrs_01_2398__b11258641111013">test_all</strong>. The data can be queried properly.</p>
+<p id="mrs_01_2398__p15309556151711"><strong id="mrs_01_2398__b131010562174">select * from test_all</strong><strong id="mrs_01_2398__b15310456201717">;</strong></p>
+<pre class="screen" id="mrs_01_2398__screen237745241719">SELECT *
+FROM test
+
+┌───────────EventDate─┬─────────id─┐
+│ 2020-11-05 21:12:19             │ 3686805070           │
+└──────────────── ┴───────────┘
+
+1 rows in set. Elapsed: 0.002 sec. 
+ </pre>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2344.html">Using ClickHouse</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_2399.html b/docs/mrs/component-operation-guide/mrs_01_2399.html
new file mode 100644
index 000000000..10703df4e
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+++ b/docs/mrs/component-operation-guide/mrs_01_2399.html
@@ -0,0 +1,138 @@
+<a name="mrs_01_2399"></a><a name="mrs_01_2399"></a>
+
+<h1 class="topictitle1">ClickHouse Log Overview</h1>
+<div id="body0000001127872551"><div class="section" id="mrs_01_2399__s7c10a70635c744399005f0b474e3cc1f"><h4 class="sectiontitle">Log Description</h4><p id="mrs_01_2399__en-us_topic_0046736730_p7703550"><strong id="mrs_01_2399__b1327154818479">Log path</strong>: The default storage path of ClickHouse log files is as follows: <strong id="mrs_01_2399__b438163464812">${BIGDATA_LOG_HOME}/clickhouse</strong></p>
+<p id="mrs_01_2399__en-us_topic_0046736730_p6167913"><strong id="mrs_01_2399__b1880318514495">Log archive rule</strong>: The automatic ClickHouse log compression function is enabled. By default, when the size of logs exceeds 100 MB, logs are automatically compressed into a log file named in the following format: <em id="mrs_01_2399__i2080820518495">&lt;Original log name&gt;</em><strong id="mrs_01_2399__b198451937195314">.</strong><em id="mrs_01_2399__i1809175114913">[ID]</em><strong id="mrs_01_2399__b13809155120490">.gz</strong>. A maximum of 10 latest compressed files are reserved by default. The number of compressed files can be configured on Manager.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2399__table15132841115112" width="100%" frame="border" border="1" rules="all"><caption><b>Table 1 </b>ClickHouse log list</caption><thead align="left"><tr id="mrs_01_2399__row1313234175112"><th align="left" class="cellrowborder" valign="top" width="14.211421142114212%" id="mcps1.3.1.4.2.4.1.1"><p id="mrs_01_2399__p6132134115110"><strong id="mrs_01_2399__b1970613461905">Log Type</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="57.165716571657164%" id="mcps1.3.1.4.2.4.1.2"><p id="mrs_01_2399__p8132194135120"><strong id="mrs_01_2399__en-us_topic_0046736730_b18874618">Log File Name</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="28.622862286228624%" id="mcps1.3.1.4.2.4.1.3"><p id="mrs_01_2399__p101321441205117"><strong id="mrs_01_2399__en-us_topic_0046736730_b2279597">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2399__row131321441185118"><td class="cellrowborder" rowspan="6" valign="top" width="14.211421142114212%" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_2399__p1313214155114">Run logs</p>
+</td>
+<td class="cellrowborder" valign="top" width="57.165716571657164%" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_2399__p71321241125119">/var/log/Bigdata/clickhouse/clickhouseServer/clickhouse-server.err.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="28.622862286228624%" headers="mcps1.3.1.4.2.4.1.3 "><p id="mrs_01_2399__p613264115519">Path of ClickHouseServer error log files.</p>
+</td>
+</tr>
+<tr id="mrs_01_2399__row3132941115115"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_2399__p161321641125112">/var/log/Bigdata/clickhouse/clickhouseServer/checkService.log</p>
+</td>
+<td class="cellrowborder" rowspan="2" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_2399__p1013294145114">Path of key ClickHouseServer run log files.</p>
+</td>
+</tr>
+<tr id="mrs_01_2399__row1791916141712"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_2399__p7817162231710">/var/log/Bigdata/clickhouse/clickhouseServer/clickhouse-server.log</p>
+</td>
+</tr>
+<tr id="mrs_01_2399__row149782353466"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_2399__p2957643114613">/var/log/Bigdata/clickhouse/balance/start.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_2399__p1797814356465">Path of ClickHouseBalancer startup log files.</p>
+</td>
+</tr>
+<tr id="mrs_01_2399__row934418393467"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_2399__p106434448468">/var/log/Bigdata/clickhouse/balance/error.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_2399__p53441839184617">Path of ClickHouseBalancer error log files.</p>
+</td>
+</tr>
+<tr id="mrs_01_2399__row1518042119471"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_2399__p163325542474">/var/log/Bigdata/clickhouse/balance/access_http.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_2399__p218110212475">Path of ClickHouseBalancer run log files.</p>
+</td>
+</tr>
+<tr id="mrs_01_2399__row1929865811294"><td class="cellrowborder" rowspan="2" valign="top" width="14.211421142114212%" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_2399__p1422511493020">Data migration logs</p>
+<p id="mrs_01_2399__p17617145903612"></p>
+</td>
+<td class="cellrowborder" valign="top" width="57.165716571657164%" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_2399__p17779958141111">/var/log/Bigdata/clickhouse/migration/<em id="mrs_01_2399__i14530134171219">Data migration task name</em>/clickhouse-copier_{timestamp}_{processId}/copier.log</p>
+</td>
+<td class="cellrowborder" valign="top" width="28.622862286228624%" headers="mcps1.3.1.4.2.4.1.3 "><p id="mrs_01_2399__p3298175814299">Run logs generated when you use the migration tool by referring to <a href="mrs_01_24198.html">Using the ClickHouse Data Migration Tool</a>.</p>
+</td>
+</tr>
+<tr id="mrs_01_2399__row14616559173617"><td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.1 "><p id="mrs_01_2399__p849211272395">/var/log/Bigdata/clickhouse/migration/<em id="mrs_01_2399__i37941551151219">Data migration task name</em>/clickhouse-copier_{timestamp}_{processId}/copier.err.log</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.1.4.2.4.1.2 "><p id="mrs_01_2399__p11336191914374">Error logs generated when you use the migration tool by referring to <a href="mrs_01_24198.html">Using the ClickHouse Data Migration Tool</a>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_2399__section565352319337"><h4 class="sectiontitle">Log Level</h4><p id="mrs_01_2399__en-us_topic_0046736730_p60201314"><a href="#mrs_01_2399__tc09b739e3eb34797a6da936a37654e97">Table 2</a> describes the log levels supported by ClickHouse.</p>
+<p id="mrs_01_2399__en-us_topic_0046736730_p44468229">Levels of run logs are error, warning, trace, information, and debug from the highest to the lowest priority. Run logs of equal or higher levels are recorded. The higher the specified log level, the fewer the logs recorded.</p>
+
+<div class="tablenoborder"><a name="mrs_01_2399__tc09b739e3eb34797a6da936a37654e97"></a><a name="tc09b739e3eb34797a6da936a37654e97"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2399__tc09b739e3eb34797a6da936a37654e97" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Log levels</caption><thead align="left"><tr id="mrs_01_2399__en-us_topic_0046736730_row63443418"><th align="left" class="cellrowborder" valign="top" width="33.333333333333336%" id="mcps1.3.2.4.2.4.1.1"><p id="mrs_01_2399__en-us_topic_0046736730_p38643240"><strong id="mrs_01_2399__en-us_topic_0046736730_b12244848">Log Type</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.333333333333336%" id="mcps1.3.2.4.2.4.1.2"><p id="mrs_01_2399__en-us_topic_0046736730_p52308663"><strong id="mrs_01_2399__en-us_topic_0046736730_b1015919">Level</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.333333333333336%" id="mcps1.3.2.4.2.4.1.3"><p id="mrs_01_2399__en-us_topic_0046736730_p15180599"><strong id="mrs_01_2399__en-us_topic_0046736730_b2407664">Description</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2399__row9239421124812"><td class="cellrowborder" rowspan="5" valign="top" width="33.333333333333336%" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_2399__p4240192119486">Run log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_2399__p19240021134811">error</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.333333333333336%" headers="mcps1.3.2.4.2.4.1.3 "><p id="mrs_01_2399__p11240142113485">Logs of this level record error information about system running.</p>
+</td>
+</tr>
+<tr id="mrs_01_2399__en-us_topic_0046736730_row60803124"><td class="cellrowborder" valign="top" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_2399__en-us_topic_0046736730_p34212241">warning</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_2399__p85517215020">Logs of this level record exception information about the current event processing.</p>
+</td>
+</tr>
+<tr id="mrs_01_2399__en-us_topic_0046736730_row43335374"><td class="cellrowborder" valign="top" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_2399__en-us_topic_0046736730_p20504385">trace</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_2399__en-us_topic_0046736730_p50242460">Logs of this level record trace information about the current event processing.</p>
+</td>
+</tr>
+<tr id="mrs_01_2399__en-us_topic_0046736730_row49528960"><td class="cellrowborder" valign="top" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_2399__en-us_topic_0046736730_p52422860">information</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_2399__en-us_topic_0046736730_p18393235">Logs of this level record normal running status information about the system and events.</p>
+</td>
+</tr>
+<tr id="mrs_01_2399__en-us_topic_0046736730_row31321393"><td class="cellrowborder" valign="top" headers="mcps1.3.2.4.2.4.1.1 "><p id="mrs_01_2399__en-us_topic_0046736730_p54004927">debug</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.4.2.4.1.2 "><p id="mrs_01_2399__en-us_topic_0046736730_p12322941">Logs of this level record system running and debugging information.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_2399__en-us_topic_0046736730_p43797605">To modify log levels, perform the following operations:</p>
+<ol id="mrs_01_2399__ol2049469418545"><li id="mrs_01_2399__ld709c225878548f3af2da8bc9d7ac71e"><span>Log in to FusionInsight Manager.</span></li><li id="mrs_01_2399__lf3b434e1f6d04218b284807ec30eb2ea"><span>Choose <span id="mrs_01_2399__text1775843617617"><strong id="mrs_01_2399__b177531836761">Cluster</strong></span> &gt; <strong id="mrs_01_2399__b117588361661">Services</strong> &gt; <strong id="mrs_01_2399__b67586361862">ClickHouse</strong> &gt; <strong id="mrs_01_2399__b775919361663">Configurations</strong>.</span></li><li id="mrs_01_2399__le99e6d2e91d442f6a738726fcef09e22"><span>Select <strong id="mrs_01_2399__b88687466353357">All Configurations</strong>.</span></li><li id="mrs_01_2399__li1026083201512"><span>On the menu bar on the left, select the log menu of the target role.</span></li><li id="mrs_01_2399__la66d9926fc274e2f8e77edcee5598e25"><span>Select a desired log level.</span></li><li id="mrs_01_2399__li1719026918545"><span>Click <strong id="mrs_01_2399__b27691691976">Save</strong>. Then, click <strong id="mrs_01_2399__b167751891712">OK</strong>.</span></li></ol>
+<div class="note" id="mrs_01_2399__note199281245114918"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_2399__p1292912455494">The configurations take effect immediately without the need to restart the service.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_2399__s70eeb581418c4885b24bf52a5037ed2a"><h4 class="sectiontitle">Log Format</h4><p id="mrs_01_2399__en-us_topic_0046736730_p51681963">The following table lists the ClickHouse log format:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_2399__en-us_topic_0046736730_table62484483" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Log formats</caption><thead align="left"><tr id="mrs_01_2399__en-us_topic_0046736730_row6057523"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.3.2.4.1.1"><p id="mrs_01_2399__en-us_topic_0046736730_p20897367"><strong id="mrs_01_2399__en-us_topic_0046736730_b53858575">Log Type</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.3.2.4.1.2"><p id="mrs_01_2399__en-us_topic_0046736730_p468450"><strong id="mrs_01_2399__en-us_topic_0046736730_b4216055">Format</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.3.2.4.1.3"><p id="mrs_01_2399__en-us_topic_0046736730_p5956164"><strong id="mrs_01_2399__en-us_topic_0046736730_b53605478">Example</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_2399__en-us_topic_0046736730_row47076455"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.3.2.4.1.1 "><p id="mrs_01_2399__en-us_topic_0046736730_p55096476">Run log</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.3.2.4.1.2 "><p id="mrs_01_2399__en-us_topic_0046736730_p33629549">&lt;<em id="mrs_01_2399__i18149155314911">yyyy-MM-dd HH:mm:ss,SSS</em>&gt;|&lt;<em id="mrs_01_2399__i1115013531898">Log level</em>&gt;|&lt;<em id="mrs_01_2399__i1150853294">Name of the thread that generates the log</em>&gt;|&lt;<em id="mrs_01_2399__i315019531691">Message in the log</em>&gt;|&lt;<em id="mrs_01_2399__i4150145315912">Location where the log event occurs</em>&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.3.2.4.1.3 "><p id="mrs_01_2399__p172616571057">2021.02.23 15:26:30.691301 [ 6085 ] {} &lt;Error&gt; DynamicQueryHandler: Code: 516, e.displayText() = DB::Exception: default: Authentication failed: password is incorrect or there is no user with such name, Stack trace (when copying this</p>
+<p id="mrs_01_2399__p426119571859">message, always include the lines below):</p>
+<p id="mrs_01_2399__p126118571559"></p>
+<p id="mrs_01_2399__p1826125710511">0. Poco::Exception::Exception(std::__1::basic_string&lt;char, std::__1::char_traits&lt;char&gt;, std::__1::allocator&lt;char&gt; &gt; const&amp;, int) @ 0x1250e59c</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2344.html">Using ClickHouse</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24014.html b/docs/mrs/component-operation-guide/mrs_01_24014.html
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+<a name="mrs_01_24014"></a><a name="mrs_01_24014"></a>
+
+<h1 class="topictitle1">Using the Flink Web UI</h1>
+<div id="body0000001127179559"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_24015.html">Overview</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24047.html">FlinkServer Permissions Management</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24019.html">Accessing the Flink Web UI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24020.html">Creating an Application on the Flink Web UI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24021.html">Creating a Cluster Connection on the Flink Web UI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24022.html">Creating a Data Connection on the Flink Web UI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24023.html">Managing Tables on the Flink Web UI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24024.html">Managing Jobs on the Flink Web UI</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0591.html">Using Flink</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24015.html b/docs/mrs/component-operation-guide/mrs_01_24015.html
new file mode 100644
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@@ -0,0 +1,17 @@
+<a name="mrs_01_24015"></a><a name="mrs_01_24015"></a>
+
+<h1 class="topictitle1">Overview</h1>
+<div id="body0000001081292876"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_24016.html">Introduction to Flink Web UI</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24017.html">Flink Web UI Application Process</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24014.html">Using the Flink Web UI</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24016.html b/docs/mrs/component-operation-guide/mrs_01_24016.html
new file mode 100644
index 000000000..3c9c29160
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24016.html
@@ -0,0 +1,55 @@
+<a name="mrs_01_24016"></a><a name="mrs_01_24016"></a>
+
+<h1 class="topictitle1">Introduction to Flink Web UI</h1>
+<div id="body0000001128010257"><p id="mrs_01_24016__p6353121534519">Flink web UI provides a web-based visual development platform. You only need to compile SQL statements to develop jobs, slashing the job development threshold. In addition, the exposure of platform capabilities allows service personnel to compile SQL statements for job development to quickly respond to requirements, greatly reducing the Flink job development workload.</p>
+<div class="note" id="mrs_01_24016__note516995916559"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_24016__p51701059115519">This section applies to only MRS 3.1.0 or later.</p>
+</div></div>
+<div class="section" id="mrs_01_24016__section2456353172616"><h4 class="sectiontitle">Flink Web UI Features</h4><p id="mrs_01_24016__p9308203310418">The Flink web UI has the following features:</p>
+<ul id="mrs_01_24016__ul17972640963"><li id="mrs_01_24016__li20972140066">Enterprise-class visual O&amp;M: GUI-based O&amp;M management, job monitoring, and standardization of Flink SQL statements for job development.</li><li id="mrs_01_24016__li148808529613">Quick cluster connection: After configuring the client and user credential key file, you can quickly access a cluster using the cluster connection function.</li><li id="mrs_01_24016__li1595435112297">Quick data connection: You can access a component by configuring the data connection function. If <strong id="mrs_01_24016__b19288134541319">Data Connection Type</strong> is set to <strong id="mrs_01_24016__b1662684861318">HDFS</strong>, you need to create a cluster connection. If <strong id="mrs_01_24016__b153158174144">Authentication Mode</strong> is set to <strong id="mrs_01_24016__b121712641420">KERBEROS</strong> for other data connection types, you need to create a cluster connection. If <strong id="mrs_01_24016__b1768925231417">Authentication Mode</strong> is set to <strong id="mrs_01_24016__b1183575520146">SIMPLE</strong>, you do not need to create a cluster connection.<div class="note" id="mrs_01_24016__note1110513419220"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_24016__p1111093418211">If <strong id="mrs_01_24016__b179076136154">Data Connection Type</strong> is set to <strong id="mrs_01_24016__b20347161951519">Kafka</strong>, <strong id="mrs_01_24016__b1246717289155">Authentication Type</strong> cannot be set to <strong id="mrs_01_24016__b2218123216153">KERBEROS</strong>.</p>
+</div></div>
+</li><li id="mrs_01_24016__li1952672615717">Visual development platform: The input/output mapping table can be customized to meet the requirements of different input sources and output destinations.</li><li id="mrs_01_24016__li857413321476">Easy to use GUI-based job management</li></ul>
+</div>
+<div class="section" id="mrs_01_24016__section2568942162711"><h4 class="sectiontitle">Key Web UI Capabilities</h4><p id="mrs_01_24016__p313701894117"><a href="#mrs_01_24016__table91592142421">Table 1</a> shows the key capabilities provided by Flink web UI.</p>
+
+<div class="tablenoborder"><a name="mrs_01_24016__table91592142421"></a><a name="table91592142421"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24016__table91592142421" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Key web UI capabilities</caption><thead align="left"><tr id="mrs_01_24016__row18160171418429"><th align="left" class="cellrowborder" valign="top" width="18.7%" id="mcps1.3.4.3.2.3.1.1"><p id="mrs_01_24016__p91601914134210">Item</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="81.3%" id="mcps1.3.4.3.2.3.1.2"><p id="mrs_01_24016__p4161121416421">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24016__row681319713445"><td class="cellrowborder" valign="top" width="18.7%" headers="mcps1.3.4.3.2.3.1.1 "><p id="mrs_01_24016__p177519713442">Batch-Stream convergence</p>
+</td>
+<td class="cellrowborder" valign="top" width="81.3%" headers="mcps1.3.4.3.2.3.1.2 "><ul id="mrs_01_24016__ul15301663011"><li id="mrs_01_24016__li13351611301">Batch jobs and stream jobs can be processed with a unified set of Flink SQL statements.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_24016__row128131277441"><td class="cellrowborder" valign="top" width="18.7%" headers="mcps1.3.4.3.2.3.1.1 "><p id="mrs_01_24016__p877520719440">Flink SQL kernel capabilities</p>
+</td>
+<td class="cellrowborder" valign="top" width="81.3%" headers="mcps1.3.4.3.2.3.1.2 "><ul id="mrs_01_24016__ul81981321153014"><li id="mrs_01_24016__li111981421133017">Flink SQL supports customized window size, stream compute within 24 hours, and batch processing beyond 24 hours.</li><li id="mrs_01_24016__li2019852119309">Flink SQL supports reading data from Kafka and HDFS, writing data to Kafka and HDFS.</li><li id="mrs_01_24016__li1419862123018">A job can define multiple Flink SQL jobs, and multiple metrics can be combined into one job for computing. If a job contains same primary keys as well as same inputs and outputs, the job supports the computing of multiple windows.</li><li id="mrs_01_24016__li9198162113012">The AVG, SUM, COUNT, MAX, and MIN statistical methods are supported.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_24016__row1081212744411"><td class="cellrowborder" valign="top" width="18.7%" headers="mcps1.3.4.3.2.3.1.1 "><p id="mrs_01_24016__p13777127194411">Flink SQL functions on the console</p>
+</td>
+<td class="cellrowborder" valign="top" width="81.3%" headers="mcps1.3.4.3.2.3.1.2 "><ul id="mrs_01_24016__ul1811612616305"><li id="mrs_01_24016__li211662612301">Cluster connection management allows you to configure clusters where services such as Kafka and HDFS reside.</li><li id="mrs_01_24016__li1111622610300">Data connection management allows you to configure services such as Kafka and HDFS.</li><li id="mrs_01_24016__li1911612261304">Data table management allows you to define data tables accessed by SQL statements and generate DDL statements.</li><li id="mrs_01_24016__li1011642693017">Flink SQL job definition allows you to verify, parse, optimize, convert a job into a Flink job, and submit the job for running based on the entered SQL statements.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_24016__row178122075442"><td class="cellrowborder" valign="top" width="18.7%" headers="mcps1.3.4.3.2.3.1.1 "><p id="mrs_01_24016__p97771173447">Flink job visual management</p>
+</td>
+<td class="cellrowborder" valign="top" width="81.3%" headers="mcps1.3.4.3.2.3.1.2 "><ul id="mrs_01_24016__ul71955313303"><li id="mrs_01_24016__li1419514311305">Stream jobs and batch jobs can be defined in a visual manner.</li><li id="mrs_01_24016__li14195143173010">Job resources, fault recovery policies, and checkpoint policies can be configured in a visual manner.</li><li id="mrs_01_24016__li519543119307">Status monitoring of stream and batch jobs are supported.</li><li id="mrs_01_24016__li91954317301">The Flink job O&amp;M is enhanced, including redirection of the native monitoring page.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_24016__row178111375441"><td class="cellrowborder" valign="top" width="18.7%" headers="mcps1.3.4.3.2.3.1.1 "><p id="mrs_01_24016__p177717784410">Performance and reliability</p>
+</td>
+<td class="cellrowborder" valign="top" width="81.3%" headers="mcps1.3.4.3.2.3.1.2 "><ul id="mrs_01_24016__ul1828815367307"><li id="mrs_01_24016__li12881836173015">Stream processing supports 24-hour window aggregation computing and millisecond-level performance.</li><li id="mrs_01_24016__li6288163623014">Batch processing supports 90-day window aggregation computing, which can be completed in minutes.</li><li id="mrs_01_24016__li11288936133017">Invalid data of stream processing and batch processing can be filtered out.</li><li id="mrs_01_24016__li5288183614307">When HDFS data is read, the data can be filtered based on the calculation period in advance.</li><li id="mrs_01_24016__li128873614303">If the job definition platform is faulty or the service is degraded, jobs cannot be redefined, but the computing of existing jobs is not affected.</li><li id="mrs_01_24016__li628873633010">The automatic restart mechanism is provided for job failures. You can configure restart policies.</li></ul>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24015.html">Overview</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24017.html b/docs/mrs/component-operation-guide/mrs_01_24017.html
new file mode 100644
index 000000000..a15986ef9
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+++ b/docs/mrs/component-operation-guide/mrs_01_24017.html
@@ -0,0 +1,66 @@
+<a name="mrs_01_24017"></a><a name="mrs_01_24017"></a>
+
+<h1 class="topictitle1">Flink Web UI Application Process</h1>
+<div id="body0000001128154803"><p id="mrs_01_24017__p8060118">The Flink web UI application process is shown as follows:</p>
+<div class="fignone" id="mrs_01_24017__fig147553018581"><span class="figcap"><b>Figure 1 </b>Application process</span><br><span><img id="mrs_01_24017__image32085344119" src="en-us_image_0000001348770225.png"></span></div>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24017__table139961942252" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Description of the Flink web UI application process</caption><thead align="left"><tr id="mrs_01_24017__row149972482519"><th align="left" class="cellrowborder" valign="top" width="17.89178917891789%" id="mcps1.3.3.2.4.1.1"><p id="mrs_01_24017__p179970412253">Phase</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="51.45514551455145%" id="mcps1.3.3.2.4.1.2"><p id="mrs_01_24017__p1199711472511">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="30.653065306530653%" id="mcps1.3.3.2.4.1.3"><p id="mrs_01_24017__p49974482519">Reference Section</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24017__row299715412519"><td class="cellrowborder" valign="top" width="17.89178917891789%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_24017__p99971413259">Creating an application</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.45514551455145%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_24017__p2997543255">Applications can be used to isolate different upper-layer services.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30.653065306530653%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_24017__p09970414250"><a href="mrs_01_24020.html">Creating an Application on the Flink Web UI</a></p>
+</td>
+</tr>
+<tr id="mrs_01_24017__row10997741258"><td class="cellrowborder" valign="top" width="17.89178917891789%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_24017__p6997241253">Creating a cluster connection</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.45514551455145%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_24017__p199711415259">Different clusters can be accessed by configuring the cluster connection.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30.653065306530653%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_24017__p129971549253"><a href="mrs_01_24021.html">Creating a Cluster Connection on the Flink Web UI</a></p>
+</td>
+</tr>
+<tr id="mrs_01_24017__row19971249256"><td class="cellrowborder" valign="top" width="17.89178917891789%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_24017__p49971045257">Creating a data connection</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.45514551455145%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_24017__p15997146259">Through data connections, you can access different data services, including HDFS and Kafka.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30.653065306530653%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_24017__p199716492517"><a href="mrs_01_24022.html">Creating a Data Connection on the Flink Web UI</a></p>
+</td>
+</tr>
+<tr id="mrs_01_24017__row209977418251"><td class="cellrowborder" valign="top" width="17.89178917891789%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_24017__p9997104102515">Creating a stream table</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.45514551455145%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_24017__p1099784122515">Data tables can be used to define basic attributes and parameters of source tables, dimension tables, and output tables.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30.653065306530653%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_24017__p79978452511"><a href="mrs_01_24023.html">Managing Tables on the Flink Web UI</a></p>
+</td>
+</tr>
+<tr id="mrs_01_24017__row5997847253"><td class="cellrowborder" valign="top" width="17.89178917891789%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_24017__p179974419253">Creating a SQL/JAR job (stream/batch job)</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.45514551455145%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_24017__p2099816412510">APIs can be used to define Flink jobs, including Flink SQL and Flink Jar jobs.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30.653065306530653%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_24017__p209988411258"><a href="mrs_01_24024.html">Managing Jobs on the Flink Web UI</a></p>
+</td>
+</tr>
+<tr id="mrs_01_24017__row49984482513"><td class="cellrowborder" valign="top" width="17.89178917891789%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_24017__p599854142510">Managing a job</p>
+</td>
+<td class="cellrowborder" valign="top" width="51.45514551455145%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_24017__p799820442514">A created job can be managed, including starting, developing, stopping, deleting, and editing the job.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30.653065306530653%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_24017__p19982492517"><a href="mrs_01_24024.html">Managing Jobs on the Flink Web UI</a></p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24015.html">Overview</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24019.html b/docs/mrs/component-operation-guide/mrs_01_24019.html
new file mode 100644
index 000000000..a486ac21f
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24019.html
@@ -0,0 +1,22 @@
+<a name="mrs_01_24019"></a><a name="mrs_01_24019"></a>
+
+<h1 class="topictitle1">Accessing the Flink Web UI</h1>
+<div id="body0000001079909168"><div class="section" id="mrs_01_24019__sf9c6b6827b7145b081eff31b193282f3"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_24019__p1476113815193">After Flink is installed in an MRS cluster, you can connect to clusters and data as well as manage stream tables and jobs using the Flink web UI.</p>
+<p id="mrs_01_24019__a8b75505cc4bb41ccbc44feeac454dd22">This section describes how to access the Flink web UI in an MRS cluster.</p>
+<div class="note" id="mrs_01_24019__n9a9623a1d07245bf96f019e55b76958c"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_24019__p187461153174110">You are advised to use Google Chrome 50 or later to access the Flink web UI. The Internet Explorer may be incompatible with the Flink web UI.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_24019__s061d5c51119b4146b96b91a0495a5042"><h4 class="sectiontitle">Impact on the System</h4><p id="mrs_01_24019__aea4879b8bd36469792d5968c82656a54">Site trust must be added to the browser when you access Manager and the Flink web UI for the first time. Otherwise, the Flink web UI cannot be accessed.</p>
+</div>
+<div class="section" id="mrs_01_24019__section1729652482815"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_24019__o7d774762b9d54bea99a7f2a2e2cc825c"><li id="mrs_01_24019__li1670681574119"><span>Log in to FusionInsight Manager as a user with <strong id="mrs_01_24019__b1275611121173">FlinkServer Admin Privilege</strong>. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. Choose <strong id="mrs_01_24019__b7763712131712">Cluster</strong> &gt; <strong id="mrs_01_24019__b6764121291716">Services</strong> &gt; <strong id="mrs_01_24019__b3764171211172">Flink</strong>.</span></li><li id="mrs_01_24019__le46c25d15b43451995993a826e4450f3"><span>On the right of <strong id="mrs_01_24019__b514751681418">Flink WebUI</strong>, click the link to access the Flink web UI.</span><p><p id="mrs_01_24019__a6e6f8d340c0843ba9a4358a348bed145">The Flink web UI provides the following functions: </p>
+<ul id="mrs_01_24019__ub8a6bff9cccb410198dbae71891f203b"><li id="mrs_01_24019__li109185138102">System management:<ul id="mrs_01_24019__ul950813216102"><li id="mrs_01_24019__li141722618370">Cluster connection management allows you to create, view, edit, test, and delete a cluster connection.</li><li id="mrs_01_24019__li195201231409">Data connection management allows you to create, view, edit, test, and delete a data connection. Data connection types include HDFS and Kafka.</li><li id="mrs_01_24019__li132681025194011">Application management allows you to create, view, and delete an application.</li></ul>
+</li><li id="mrs_01_24019__li147312268404">Stream table management allows you to create, view, edit, and delete a stream table.</li><li id="mrs_01_24019__li7740226194011">Job management allows you to create, view, start, develop, edit, stop, and delete a job.</li></ul>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24014.html">Using the Flink Web UI</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24020.html b/docs/mrs/component-operation-guide/mrs_01_24020.html
new file mode 100644
index 000000000..8862834b2
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24020.html
@@ -0,0 +1,35 @@
+<a name="mrs_01_24020"></a><a name="mrs_01_24020"></a>
+
+<h1 class="topictitle1">Creating an Application on the Flink Web UI</h1>
+<div id="body0000001126915057"><div class="section" id="mrs_01_24020__s9f93d0a70cdc4575b48c96902a562dfe"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_24020__p7684161264218">Applications can be used to isolate different upper-layer services.</p>
+</div>
+<div class="section" id="mrs_01_24020__section2046032920307"><h4 class="sectiontitle">Creating an Application</h4><ol id="mrs_01_24020__ol10782141514100"><li id="mrs_01_24020__li17782181511106"><span>Access the Flink web UI as a user with <strong id="mrs_01_24020__b138521322111519">FlinkServer Admin Privilege</strong>. For details, see <a href="mrs_01_24019.html">Accessing the Flink Web UI</a>.</span></li><li id="mrs_01_24020__li63513497107"><span>Choose <strong id="mrs_01_24020__b17363627105715">System Management</strong> &gt; <strong id="mrs_01_24020__b1770194272818">Application Management</strong>.</span></li><li id="mrs_01_24020__li16577753151119"><span>Click <strong id="mrs_01_24020__b925404952919">Create Application</strong>. On the displayed page, set parameters by referring to <a href="#mrs_01_24020__table2048293612324">Table 1</a> and click <strong id="mrs_01_24020__b222217415307">OK</strong>.</span><p>
+<div class="tablenoborder"><a name="mrs_01_24020__table2048293612324"></a><a name="table2048293612324"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24020__table2048293612324" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters for creating an application</caption><thead align="left"><tr id="mrs_01_24020__row12483183693214"><th align="left" class="cellrowborder" valign="top" width="31.259999999999998%" id="mcps1.3.2.2.3.2.1.2.3.1.1"><p id="mrs_01_24020__p9491904151">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="68.74%" id="mcps1.3.2.2.3.2.1.2.3.1.2"><p id="mrs_01_24020__p14917016153">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24020__row124831536153213"><td class="cellrowborder" valign="top" width="31.259999999999998%" headers="mcps1.3.2.2.3.2.1.2.3.1.1 "><p id="mrs_01_24020__p1248313366325">Application</p>
+</td>
+<td class="cellrowborder" valign="top" width="68.74%" headers="mcps1.3.2.2.3.2.1.2.3.1.2 "><p id="mrs_01_24020__p134838363325">Name of the application to be created. The name can contain a maximum of 32 characters. Only letters, digits, and underscores (_) are allowed.</p>
+</td>
+</tr>
+<tr id="mrs_01_24020__row7483436133210"><td class="cellrowborder" valign="top" width="31.259999999999998%" headers="mcps1.3.2.2.3.2.1.2.3.1.1 "><p id="mrs_01_24020__p8483123613323">Description</p>
+</td>
+<td class="cellrowborder" valign="top" width="68.74%" headers="mcps1.3.2.2.3.2.1.2.3.1.2 "><p id="mrs_01_24020__p9483123619324">Description of the application to be created. The value can contain a maximum of 85 characters.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<p id="mrs_01_24020__p154953175811">After the application is created, you can switch to the application to be operated in the upper left corner of the Flink web UI and develop jobs.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24014.html">Using the Flink Web UI</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24021.html b/docs/mrs/component-operation-guide/mrs_01_24021.html
new file mode 100644
index 000000000..6868a060d
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24021.html
@@ -0,0 +1,75 @@
+<a name="mrs_01_24021"></a><a name="mrs_01_24021"></a>
+
+<h1 class="topictitle1">Creating a Cluster Connection on the Flink Web UI</h1>
+<div id="body0000001127296799"><div class="section" id="mrs_01_24021__s9f93d0a70cdc4575b48c96902a562dfe"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_24021__p7684161264218">Different clusters can be accessed by configuring the cluster connection.</p>
+</div>
+<div class="section" id="mrs_01_24021__section878113401693"><h4 class="sectiontitle">Creating a Cluster Connection</h4><ol id="mrs_01_24021__ol10782141514100"><li id="mrs_01_24021__li17782181511106"><span>Access the Flink web UI. For details, see <a href="mrs_01_24019.html">Accessing the Flink Web UI</a>.</span></li><li id="mrs_01_24021__li63513497107"><span>Choose <strong id="mrs_01_24021__b1678562612343">System Management</strong> &gt; <strong id="mrs_01_24021__b14790926143415">Cluster Connection Management</strong>. The <strong id="mrs_01_24021__b1279112268340">Cluster Connection Management</strong> page is displayed.</span></li><li id="mrs_01_24021__li16577753151119"><span>Click <strong id="mrs_01_24021__b667743503418">Create Cluster Connection</strong>. On the displayed page, set parameters by referring to <a href="#mrs_01_24021__table134890201518">Table 1</a> and click <strong id="mrs_01_24021__b1542512118359">OK</strong>.</span><p>
+<div class="tablenoborder"><a name="mrs_01_24021__table134890201518"></a><a name="table134890201518"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24021__table134890201518" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters for creating a cluster connection</caption><thead align="left"><tr id="mrs_01_24021__row1491004152"><th align="left" class="cellrowborder" valign="top" width="27.93%" id="mcps1.3.2.2.3.2.1.2.3.1.1"><p id="mrs_01_24021__p9491904151">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="72.07000000000001%" id="mcps1.3.2.2.3.2.1.2.3.1.2"><p id="mrs_01_24021__p14917016153">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24021__row8491603157"><td class="cellrowborder" valign="top" width="27.93%" headers="mcps1.3.2.2.3.2.1.2.3.1.1 "><p id="mrs_01_24021__p2049120111519">Cluster Connection Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="72.07000000000001%" headers="mcps1.3.2.2.3.2.1.2.3.1.2 "><p id="mrs_01_24021__p84916071517">Name of the cluster connection, which can contain a maximum of 100 characters. Only letters, digits, and underscores (_) are allowed.</p>
+</td>
+</tr>
+<tr id="mrs_01_24021__row1749307153"><td class="cellrowborder" valign="top" width="27.93%" headers="mcps1.3.2.2.3.2.1.2.3.1.1 "><p id="mrs_01_24021__p174980131510">Description</p>
+</td>
+<td class="cellrowborder" valign="top" width="72.07000000000001%" headers="mcps1.3.2.2.3.2.1.2.3.1.2 "><p id="mrs_01_24021__p17491408153">Description of the cluster connection name.</p>
+</td>
+</tr>
+<tr id="mrs_01_24021__row174950131510"><td class="cellrowborder" valign="top" width="27.93%" headers="mcps1.3.2.2.3.2.1.2.3.1.1 "><p id="mrs_01_24021__p13494015152">FusionInsight HD Version</p>
+</td>
+<td class="cellrowborder" valign="top" width="72.07000000000001%" headers="mcps1.3.2.2.3.2.1.2.3.1.2 "><p id="mrs_01_24021__p45019018154">Set a cluster version.</p>
+</td>
+</tr>
+<tr id="mrs_01_24021__row250402157"><td class="cellrowborder" valign="top" width="27.93%" headers="mcps1.3.2.2.3.2.1.2.3.1.1 "><p id="mrs_01_24021__p6500051518">Secure Version</p>
+</td>
+<td class="cellrowborder" valign="top" width="72.07000000000001%" headers="mcps1.3.2.2.3.2.1.2.3.1.2 "><ul id="mrs_01_24021__ul109491810171811"><li id="mrs_01_24021__li14949181071814">If the secure version is used, select <strong id="mrs_01_24021__b1875534413425">Yes</strong> for a security cluster. Enter the username and upload the user credential.</li><li id="mrs_01_24021__li1275181715181">If not, select <strong id="mrs_01_24021__b202581922154518">No</strong>.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_24021__row18501010153"><td class="cellrowborder" valign="top" width="27.93%" headers="mcps1.3.2.2.3.2.1.2.3.1.1 "><p id="mrs_01_24021__p6501105154">Username</p>
+</td>
+<td class="cellrowborder" valign="top" width="72.07000000000001%" headers="mcps1.3.2.2.3.2.1.2.3.1.2 "><p id="mrs_01_24021__p56819185172">The user must have the minimum permissions for accessing services in the cluster. The name can contain a maximum of 100 characters. Only letters, digits, and underscores (_) are allowed.</p>
+<p id="mrs_01_24021__p1550100171510">This parameter is available only when <strong id="mrs_01_24021__b24114915470">Secure Version</strong> is set to <strong id="mrs_01_24021__b661012518477">Yes</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_24021__row1350108152"><td class="cellrowborder" valign="top" width="27.93%" headers="mcps1.3.2.2.3.2.1.2.3.1.1 "><p id="mrs_01_24021__p7508071519">Client Profile</p>
+</td>
+<td class="cellrowborder" valign="top" width="72.07000000000001%" headers="mcps1.3.2.2.3.2.1.2.3.1.2 "><p id="mrs_01_24021__p14506011519">Client profile of the cluster, in TAR format.</p>
+</td>
+</tr>
+<tr id="mrs_01_24021__row1450507157"><td class="cellrowborder" valign="top" width="27.93%" headers="mcps1.3.2.2.3.2.1.2.3.1.1 "><p id="mrs_01_24021__p55014071514">User Credential</p>
+</td>
+<td class="cellrowborder" valign="top" width="72.07000000000001%" headers="mcps1.3.2.2.3.2.1.2.3.1.2 "><p id="mrs_01_24021__p1599302613181">User authentication credential in FusionInsight Manager in TAR format.</p>
+<p id="mrs_01_24021__p146511232111719">This parameter is available only when <strong id="mrs_01_24021__b141446816512">Secure Version</strong> is set to <strong id="mrs_01_24021__b17150188195117">Yes</strong>.</p>
+<p id="mrs_01_24021__p572515214116">Files can be uploaded only after the username is entered.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_24021__note08811833133315"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_24021__p1888213336333">To obtain the cluster client configuration files, perform the following steps:</p>
+<ol type="a" id="mrs_01_24021__ol13758558183314"><li id="mrs_01_24021__li1758185820334">Log in to FusionInsight Manager and choose <strong id="mrs_01_24021__b11441340161412">Cluster</strong> &gt; <strong id="mrs_01_24021__b615034017147">Dashboard</strong>.</li><li id="mrs_01_24021__li16844122463418">Choose <strong id="mrs_01_24021__b07241613121520">More</strong> &gt; <strong id="mrs_01_24021__b1073013132158">Download Client</strong> &gt; <strong id="mrs_01_24021__b773061312157">Configuration Files Only</strong>, select a platform type, and click <strong id="mrs_01_24021__b11730513151515">OK</strong>.</li></ol>
+<p id="mrs_01_24021__p5454144610365">To obtain the user credential, perform the following steps:</p>
+<ol type="a" id="mrs_01_24021__ol1267565853610"><li id="mrs_01_24021__li267514587365">Log in to FusionInsight Manager and click <strong id="mrs_01_24021__b1755418558551">System</strong>.</li><li id="mrs_01_24021__li72691752173710">In the <strong id="mrs_01_24021__b15247735181517">Operation</strong> column of the user, choose <strong id="mrs_01_24021__b152531235161520">More</strong> &gt; <strong id="mrs_01_24021__b10254123531514">Download Authentication Credential</strong>, select a cluster, and click <strong id="mrs_01_24021__b92545356155">OK</strong>.</li></ol>
+</div></div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_24021__section762317356323"><h4 class="sectiontitle">Editing a Cluster Connection</h4><ol id="mrs_01_24021__ol14500192833618"><li id="mrs_01_24021__li229653873613"><span>Access the Flink web UI. For details, see <a href="mrs_01_24019.html">Accessing the Flink Web UI</a>.</span></li><li id="mrs_01_24021__li15296153833610"><span>Choose <strong id="mrs_01_24021__b1974475013">System Management</strong> &gt; <strong id="mrs_01_24021__b597587703">Cluster Connection Management</strong>. The <strong id="mrs_01_24021__b89765714015">Cluster Connection Management</strong> page is displayed.</span></li><li id="mrs_01_24021__li8522134012367"><span>In the <strong id="mrs_01_24021__b127451638401">Operation</strong> column of the item to be modified, click <strong id="mrs_01_24021__b185031821207">Edit</strong>. On the displayed page, modify the connection information by referring to <a href="#mrs_01_24021__table134890201518">Table 1</a> and click <strong id="mrs_01_24021__b37551438115">OK</strong>.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_24021__section292685865419"><h4 class="sectiontitle">Testing a Cluster Connection</h4><ol id="mrs_01_24021__ol88041139185412"><li id="mrs_01_24021__li9804163916544"><span>Access the Flink web UI. For details, see <a href="mrs_01_24019.html">Accessing the Flink Web UI</a>.</span></li><li id="mrs_01_24021__li1980443925418"><span>Choose <strong id="mrs_01_24021__b199611141316">System Management</strong> &gt; <strong id="mrs_01_24021__b1596311411614">Cluster Connection Management</strong>. The <strong id="mrs_01_24021__b179641941417">Cluster Connection Management</strong> page is displayed.</span></li><li id="mrs_01_24021__li18804133914547"><span>In the <strong id="mrs_01_24021__b1225610121213">Operation</strong> column of the item to be tested, click <strong id="mrs_01_24021__b737801912214">Test</strong>.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_24021__section38059161557"><h4 class="sectiontitle">Searching for a Cluster Connection</h4><ol id="mrs_01_24021__ol11805113919543"><li id="mrs_01_24021__li1880423912543"><span>Access the Flink web UI. For details, see <a href="mrs_01_24019.html">Accessing the Flink Web UI</a>.</span></li><li id="mrs_01_24021__li58051139125419"><span>Choose <strong id="mrs_01_24021__b590584148113244">System Management</strong> &gt; <strong id="mrs_01_24021__b869888478113244">Cluster Connection Management</strong>. The <strong id="mrs_01_24021__b2142635336113244">Cluster Connection Management</strong> page is displayed.</span></li><li id="mrs_01_24021__li18805143913542"><span>In the upper right corner of the page, you can enter a search criterion to search for and view the cluster connection based on <strong id="mrs_01_24021__b205081310195414">Cluster Connection Name</strong>.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_24021__section1348853035516"><h4 class="sectiontitle">Deleting a Cluster Connection</h4><ol id="mrs_01_24021__ol17804639155415"><li id="mrs_01_24021__li188046391549"><span>Access the Flink web UI. For details, see <a href="mrs_01_24019.html">Accessing the Flink Web UI</a>.</span></li><li id="mrs_01_24021__li1680413955413"><span>Choose <strong id="mrs_01_24021__b1555011211365">System Management</strong> &gt; <strong id="mrs_01_24021__b1555592115610">Cluster Connection Management</strong>. The <strong id="mrs_01_24021__b4556162113617">Cluster Connection Management</strong> page is displayed.</span></li><li id="mrs_01_24021__li9804193916542"><span>In the <strong id="mrs_01_24021__b96414620813">Operation</strong> column of the item to be deleted, click <strong id="mrs_01_24021__b109782080">Delete</strong>, and click <strong id="mrs_01_24021__b18314421689">OK</strong> in the displayed page.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24014.html">Using the Flink Web UI</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24022.html b/docs/mrs/component-operation-guide/mrs_01_24022.html
new file mode 100644
index 000000000..b0d128f48
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+++ b/docs/mrs/component-operation-guide/mrs_01_24022.html
@@ -0,0 +1,70 @@
+<a name="mrs_01_24022"></a><a name="mrs_01_24022"></a>
+
+<h1 class="topictitle1">Creating a Data Connection on the Flink Web UI</h1>
+<div id="body0000001080197238"><div class="section" id="mrs_01_24022__s9f93d0a70cdc4575b48c96902a562dfe"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_24022__p7684161264218">You can use data connections to access different data services. Currently, FlinkServer supports HDFS and Kafka data connections.</p>
+</div>
+<div class="section" id="mrs_01_24022__section1746418521537"><h4 class="sectiontitle">Creating a Data Connection</h4><ol id="mrs_01_24022__ol10782141514100"><li id="mrs_01_24022__li17782181511106"><span>Access the Flink web UI. For details, see <a href="mrs_01_24019.html">Accessing the Flink Web UI</a>.</span></li><li id="mrs_01_24022__li63513497107"><span>Choose <strong id="mrs_01_24022__b9804111871111">System Management</strong> &gt; <strong id="mrs_01_24022__b12804818141111">Data Connection Management</strong>. The <strong id="mrs_01_24022__b188051118201115">Data Connection Management</strong> page is displayed.</span></li><li id="mrs_01_24022__li16577753151119"><span>Click <strong id="mrs_01_24022__b81712419120">Create Data Connection</strong>. On the displayed page, select a data connection type, enter information by referring to <a href="#mrs_01_24022__table134890201518">Table 1</a>, and click <strong id="mrs_01_24022__b7993151791319">OK</strong>.</span><p>
+<div class="tablenoborder"><a name="mrs_01_24022__table134890201518"></a><a name="table134890201518"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24022__table134890201518" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters for creating a data connection</caption><thead align="left"><tr id="mrs_01_24022__row1491004152"><th align="left" class="cellrowborder" valign="top" width="18.078192180781922%" id="mcps1.3.2.2.3.2.1.2.4.1.1"><p id="mrs_01_24022__p9491904151">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="58.44415558444156%" id="mcps1.3.2.2.3.2.1.2.4.1.2"><p id="mrs_01_24022__p14917016153">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="23.477652234776524%" id="mcps1.3.2.2.3.2.1.2.4.1.3"><p id="mrs_01_24022__p17496071518">Example Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24022__row8491603157"><td class="cellrowborder" valign="top" width="18.078192180781922%" headers="mcps1.3.2.2.3.2.1.2.4.1.1 "><p id="mrs_01_24022__p2049120111519">Data Connection Type</p>
+</td>
+<td class="cellrowborder" valign="top" width="58.44415558444156%" headers="mcps1.3.2.2.3.2.1.2.4.1.2 "><p id="mrs_01_24022__p84916071517">Type of the data connection, which can be <strong id="mrs_01_24022__b139131519146">HDFS</strong> or <strong id="mrs_01_24022__b1396191515147">Kafka</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.477652234776524%" headers="mcps1.3.2.2.3.2.1.2.4.1.3 "><p id="mrs_01_24022__p1149110141519">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24022__row1749307153"><td class="cellrowborder" valign="top" width="18.078192180781922%" headers="mcps1.3.2.2.3.2.1.2.4.1.1 "><p id="mrs_01_24022__p174980131510">Data Connection Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="58.44415558444156%" headers="mcps1.3.2.2.3.2.1.2.4.1.2 "><p id="mrs_01_24022__p17491408153">Name of the data connection, which can contain a maximum of 100 characters. Only letters, digits, and underscores (_) are allowed.</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.477652234776524%" headers="mcps1.3.2.2.3.2.1.2.4.1.3 "><p id="mrs_01_24022__p34980101513">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24022__row174950131510"><td class="cellrowborder" valign="top" width="18.078192180781922%" headers="mcps1.3.2.2.3.2.1.2.4.1.1 "><p id="mrs_01_24022__p13494015152">Cluster Connection</p>
+</td>
+<td class="cellrowborder" valign="top" width="58.44415558444156%" headers="mcps1.3.2.2.3.2.1.2.4.1.2 "><p id="mrs_01_24022__p45019018154">Cluster connection name in configuration management.</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.477652234776524%" headers="mcps1.3.2.2.3.2.1.2.4.1.3 "><p id="mrs_01_24022__p115020191513">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24022__row250402157"><td class="cellrowborder" valign="top" width="18.078192180781922%" headers="mcps1.3.2.2.3.2.1.2.4.1.1 "><p id="mrs_01_24022__p6501105154">Kafka broker</p>
+</td>
+<td class="cellrowborder" valign="top" width="58.44415558444156%" headers="mcps1.3.2.2.3.2.1.2.4.1.2 "><p id="mrs_01_24022__p17804518172417">Connection information about Kafka broker instances. The format is <em id="mrs_01_24022__i0796552203">IP address</em>:<em id="mrs_01_24022__i1839189162013">Port number</em>. Use commas (,) to separate multiple instances.</p>
+<p id="mrs_01_24022__p9213181141216">This parameter is mandatory for Kafka data connections.</p>
+</td>
+<td class="cellrowborder" valign="top" width="23.477652234776524%" headers="mcps1.3.2.2.3.2.1.2.4.1.3 "><p id="mrs_01_24022__p18857753349">192.168.0.1:21005,192.168.0.2:21005</p>
+</td>
+</tr>
+<tr id="mrs_01_24022__row1450507157"><td class="cellrowborder" valign="top" width="18.078192180781922%" headers="mcps1.3.2.2.3.2.1.2.4.1.1 "><p id="mrs_01_24022__p6500051518">Authentication Mode</p>
+</td>
+<td class="cellrowborder" valign="top" width="58.44415558444156%" headers="mcps1.3.2.2.3.2.1.2.4.1.2 "><ul id="mrs_01_24022__ul1922510340463"><li id="mrs_01_24022__li6722037114611"><strong id="mrs_01_24022__b635093514115">SIMPLE</strong>: indicates that the connected service is in non-security mode and does not need to be authenticated.</li><li id="mrs_01_24022__li22256345464"><strong id="mrs_01_24022__b1693416364114">KERBEROS</strong>: indicates that the connected service is in security mode and the Kerberos protocol for security authentication is used for authentication.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="23.477652234776524%" headers="mcps1.3.2.2.3.2.1.2.4.1.3 "><p id="mrs_01_24022__p135040161515">-</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_24022__section1046945219530"><h4 class="sectiontitle">Editing a Data Connection</h4><ol id="mrs_01_24022__ol14500192833618"><li id="mrs_01_24022__li229653873613"><span>Access the Flink web UI. For details, see <a href="mrs_01_24019.html">Accessing the Flink Web UI</a>.</span></li><li id="mrs_01_24022__li15296153833610"><span>Choose <strong id="mrs_01_24022__b793112919172">System Management</strong> &gt; <strong id="mrs_01_24022__b39324910171">Data Connection Management</strong>. The <strong id="mrs_01_24022__b19329961715">Data Connection Management</strong> page is displayed.</span></li><li id="mrs_01_24022__li8522134012367"><span>In the <strong id="mrs_01_24022__b182444121176">Operation</strong> column of the item to be modified, click <strong id="mrs_01_24022__b17244212111717">Edit</strong>. On the displayed page, modify the connection information by referring to <a href="#mrs_01_24022__table134890201518">Table 1</a> and click <strong id="mrs_01_24022__b14245131217174">OK</strong>.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_24022__section1199215142008"><h4 class="sectiontitle">Testing a Data Connection</h4><ol id="mrs_01_24022__ol844765514594"><li id="mrs_01_24022__li18447355135912"><span>Access the Flink web UI. For details, see <a href="mrs_01_24019.html">Accessing the Flink Web UI</a>.</span></li><li id="mrs_01_24022__li16447145545917"><span>Choose <strong id="mrs_01_24022__b633244117171">System Management</strong> &gt; <strong id="mrs_01_24022__b9332104191711">Data Connection Management</strong>. The <strong id="mrs_01_24022__b1333216415174">Data Connection Management</strong> page is displayed.</span></li><li id="mrs_01_24022__li164471055115912"><span>In the <strong id="mrs_01_24022__b139704434174">Operation</strong> column of the item to be tested, click <strong id="mrs_01_24022__b17975184301719">Test</strong>.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_24022__section7395324902"><h4 class="sectiontitle">Searching for a Data Connection</h4><ol id="mrs_01_24022__ol944895505915"><li id="mrs_01_24022__li15448195565916"><span>Access the Flink web UI. For details, see <a href="mrs_01_24019.html">Accessing the Flink Web UI</a>.</span></li><li id="mrs_01_24022__li1744816554599"><span>Choose <strong id="mrs_01_24022__b566785919170">System Management</strong> &gt; <strong id="mrs_01_24022__b6672135920174">Data Connection Management</strong>. The <strong id="mrs_01_24022__b1567265951712">Data Connection Management</strong> page is displayed.</span></li><li id="mrs_01_24022__li14488552596"><span>In the upper right corner of the page, you can search for a data connection by name.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_24022__section1777213522003"><h4 class="sectiontitle">Deleting a Data Connection</h4><ol id="mrs_01_24022__ol1447185535914"><li id="mrs_01_24022__li18447455185918"><span>Access the Flink web UI. For details, see <a href="mrs_01_24019.html">Accessing the Flink Web UI</a>.</span></li><li id="mrs_01_24022__li244710551590"><span>Choose <strong id="mrs_01_24022__b951701731920">System Management</strong> &gt; <strong id="mrs_01_24022__b951781741910">Data Connection Management</strong>. The <strong id="mrs_01_24022__b3517181791913">Data Connection Management</strong> page is displayed.</span></li><li id="mrs_01_24022__li16447855145917"><span>In the <strong id="mrs_01_24022__b189882197196">Operation</strong> column of the item to be deleted, click <strong id="mrs_01_24022__b1298811901912">Delete</strong>, and click <strong id="mrs_01_24022__b4988519131917">OK</strong> in the displayed page.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24014.html">Using the Flink Web UI</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24023.html b/docs/mrs/component-operation-guide/mrs_01_24023.html
new file mode 100644
index 000000000..85eee1c99
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24023.html
@@ -0,0 +1,147 @@
+<a name="mrs_01_24023"></a><a name="mrs_01_24023"></a>
+
+<h1 class="topictitle1">Managing Tables on the Flink Web UI</h1>
+<div id="body0000001127053965"><div class="section" id="mrs_01_24023__s9f93d0a70cdc4575b48c96902a562dfe"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_24023__p7684161264218">Data tables can be used to define basic attributes and parameters of source tables, dimension tables, and output tables.</p>
+</div>
+<div class="section" id="mrs_01_24023__section1746418521537"><h4 class="sectiontitle">Creating a Stream Table</h4><ol id="mrs_01_24023__ol10782141514100"><li id="mrs_01_24023__li17782181511106"><span>Access the Flink web UI. For details, see <a href="mrs_01_24019.html">Accessing the Flink Web UI</a>.</span></li><li id="mrs_01_24023__li63513497107"><span>Click <strong id="mrs_01_24023__b1117874218231">Table Management</strong>. The table management page is displayed.</span></li><li id="mrs_01_24023__li421653931519"><span>Click <strong id="mrs_01_24023__b04844332245">Create Stream Table</strong>. On the stream table creation page, set parameters by referring to <a href="#mrs_01_24023__table205858588169">Table 1</a> and click <strong id="mrs_01_24023__b960635642515">OK</strong>.</span><p>
+<div class="tablenoborder"><a name="mrs_01_24023__table205858588169"></a><a name="table205858588169"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24023__table205858588169" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters for creating a stream table</caption><thead align="left"><tr id="mrs_01_24023__row17586858111618"><th align="left" class="cellrowborder" valign="top" width="15.920000000000002%" id="mcps1.3.2.2.3.2.1.2.4.1.1"><p id="mrs_01_24023__p2058617580164">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="59.81999999999999%" id="mcps1.3.2.2.3.2.1.2.4.1.2"><p id="mrs_01_24023__p1158618583165">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="24.26%" id="mcps1.3.2.2.3.2.1.2.4.1.3"><p id="mrs_01_24023__p1758616584161">Remarks</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24023__row95861858191610"><td class="cellrowborder" valign="top" width="15.920000000000002%" headers="mcps1.3.2.2.3.2.1.2.4.1.1 "><p id="mrs_01_24023__p175869586169">Stream/Table Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.81999999999999%" headers="mcps1.3.2.2.3.2.1.2.4.1.2 "><p id="mrs_01_24023__p2058675815165">Stream/Table name, which can contain 1 to 64 characters. Only letters, digits, and underscores (_) are allowed.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.26%" headers="mcps1.3.2.2.3.2.1.2.4.1.3 "><p id="mrs_01_24023__p4586658181618">Example: <strong id="mrs_01_24023__b19430184632713">flink_sink</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_24023__row058685881612"><td class="cellrowborder" valign="top" width="15.920000000000002%" headers="mcps1.3.2.2.3.2.1.2.4.1.1 "><p id="mrs_01_24023__p6586115810169">Description</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.81999999999999%" headers="mcps1.3.2.2.3.2.1.2.4.1.2 "><p id="mrs_01_24023__p115866588164">Stream/Table description information, which can contain 1 to 1024 characters.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.26%" headers="mcps1.3.2.2.3.2.1.2.4.1.3 "><p id="mrs_01_24023__p10586105815169">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24023__row175862058121616"><td class="cellrowborder" valign="top" width="15.920000000000002%" headers="mcps1.3.2.2.3.2.1.2.4.1.1 "><p id="mrs_01_24023__p1958695891611">Mapping Table Type</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.81999999999999%" headers="mcps1.3.2.2.3.2.1.2.4.1.2 "><p id="mrs_01_24023__p15585954113516">Flink SQL does not provide the data storage function. Table creation is actually the creation of mapping for external data tables or storage.</p>
+<p id="mrs_01_24023__p185871058101616">The value can be <strong id="mrs_01_24023__b939131717565">Kafka</strong> or <strong id="mrs_01_24023__b6379419125620">HDFS</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.26%" headers="mcps1.3.2.2.3.2.1.2.4.1.3 "><p id="mrs_01_24023__p205877582160">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24023__row8587175816160"><td class="cellrowborder" valign="top" width="15.920000000000002%" headers="mcps1.3.2.2.3.2.1.2.4.1.1 "><p id="mrs_01_24023__p058745831618">Type</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.81999999999999%" headers="mcps1.3.2.2.3.2.1.2.4.1.2 "><p id="mrs_01_24023__p1049854153613">Includes data source table <strong id="mrs_01_24023__b28712019720">Source</strong> and data result table <strong id="mrs_01_24023__b1895130175">Sink</strong>. Tables included in different mapping table types are as follows:</p>
+<ul id="mrs_01_24023__ul71213189386"><li id="mrs_01_24023__li812110180387">Kafka: <strong id="mrs_01_24023__b7531194614413">Source</strong> and <strong id="mrs_01_24023__b18831194715417">Sink</strong></li><li id="mrs_01_24023__li1112151816382">HDFS: <strong id="mrs_01_24023__b137402531848">Source</strong> and <strong id="mrs_01_24023__b179855913419">Sink</strong></li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="24.26%" headers="mcps1.3.2.2.3.2.1.2.4.1.3 "><p id="mrs_01_24023__p8587145871618">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24023__row195878588168"><td class="cellrowborder" valign="top" width="15.920000000000002%" headers="mcps1.3.2.2.3.2.1.2.4.1.1 "><p id="mrs_01_24023__p10587758121613">Data Connection</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.81999999999999%" headers="mcps1.3.2.2.3.2.1.2.4.1.2 "><p id="mrs_01_24023__p115872586161">Name of the data connection.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.26%" headers="mcps1.3.2.2.3.2.1.2.4.1.3 "><p id="mrs_01_24023__p12587458191614">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24023__row158713587164"><td class="cellrowborder" valign="top" width="15.920000000000002%" headers="mcps1.3.2.2.3.2.1.2.4.1.1 "><p id="mrs_01_24023__p05876582168">Topic</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.81999999999999%" headers="mcps1.3.2.2.3.2.1.2.4.1.2 "><p id="mrs_01_24023__p195871258121610">Kafka topic to be read. Multiple Kafka topics can be read. Use separators to separate topics.</p>
+<p id="mrs_01_24023__p13773132152713">This parameter is available when <strong id="mrs_01_24023__b123639104819">Mapping Table Type</strong> is set to <strong id="mrs_01_24023__b47341412789">Kafka</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.26%" headers="mcps1.3.2.2.3.2.1.2.4.1.3 "><p id="mrs_01_24023__p205871582161">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24023__row9587358161613"><td class="cellrowborder" valign="top" width="15.920000000000002%" headers="mcps1.3.2.2.3.2.1.2.4.1.1 "><p id="mrs_01_24023__p7587115812166">File Path</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.81999999999999%" headers="mcps1.3.2.2.3.2.1.2.4.1.2 "><p id="mrs_01_24023__p145871458171615">HDFS directory or a single file path to be transferred.</p>
+<p id="mrs_01_24023__p17532204052720">This parameter is available when <strong id="mrs_01_24023__b209707718911">Mapping Table Type</strong> is set to <strong id="mrs_01_24023__b1997515710917">HDFS</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.26%" headers="mcps1.3.2.2.3.2.1.2.4.1.3 "><p id="mrs_01_24023__p69104128528">Example:</p>
+<p id="mrs_01_24023__p195871058171616"><strong id="mrs_01_24023__b091312518916">/user/sqoop/</strong> or <strong id="mrs_01_24023__b14516311999">/user/sqoop/example.csv</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_24023__row17834115718409"><td class="cellrowborder" valign="top" width="15.920000000000002%" headers="mcps1.3.2.2.3.2.1.2.4.1.1 "><p id="mrs_01_24023__p188343574409">Code</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.81999999999999%" headers="mcps1.3.2.2.3.2.1.2.4.1.2 "><p id="mrs_01_24023__p1451314356220">Codes corresponding to different mapping table types are as follows:</p>
+<ul id="mrs_01_24023__ul515520754113"><li id="mrs_01_24023__li715547114117">Kafka: <strong id="mrs_01_24023__b1598319486102">CSV</strong> and <strong id="mrs_01_24023__b187421650171014">JSON</strong></li><li id="mrs_01_24023__li415527134111">HDFS: <strong id="mrs_01_24023__b131853121017">CSV</strong></li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="24.26%" headers="mcps1.3.2.2.3.2.1.2.4.1.3 "><p id="mrs_01_24023__p168344571408">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24023__row68736381263"><td class="cellrowborder" valign="top" width="15.920000000000002%" headers="mcps1.3.2.2.3.2.1.2.4.1.1 "><p id="mrs_01_24023__p287413387262">Prefix</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.81999999999999%" headers="mcps1.3.2.2.3.2.1.2.4.1.2 "><p id="mrs_01_24023__p987443812612">When <strong id="mrs_01_24023__b134764203710">Mapping Table Type</strong> is set to <strong id="mrs_01_24023__b1047711210372">Kafka</strong>, <strong id="mrs_01_24023__b1047713233720">Type</strong> is set to <strong id="mrs_01_24023__b6477722374">Source</strong>, and <strong id="mrs_01_24023__b13477172173710">Code</strong> is set to <strong id="mrs_01_24023__b1847752193712">JSON</strong>, this parameter indicates the hierarchical prefixes of multi-layer nested JSON, which are separated by commas (,).</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.26%" headers="mcps1.3.2.2.3.2.1.2.4.1.3 "><p id="mrs_01_24023__p11874203892610">For example, <strong id="mrs_01_24023__b273271211">data,info</strong> indicates that the content under <strong id="mrs_01_24023__b138827152119">data</strong> and <strong id="mrs_01_24023__b18132772116">info</strong> in the nested JSON file is used as the data input in JSON format.</p>
+</td>
+</tr>
+<tr id="mrs_01_24023__row199911921171910"><td class="cellrowborder" valign="top" width="15.920000000000002%" headers="mcps1.3.2.2.3.2.1.2.4.1.1 "><p id="mrs_01_24023__p14991142111197">Separator</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.81999999999999%" headers="mcps1.3.2.2.3.2.1.2.4.1.2 "><p id="mrs_01_24023__p9237152112520">Has different meanings when <strong id="mrs_01_24023__b14797122533117">Mapping Table Type</strong> is set to the following values: It is used as the separator of specified CSV fields. This parameter is available only when <strong id="mrs_01_24023__b4596230152816">Code</strong> is set to <strong id="mrs_01_24023__b9626235289">CSV</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.26%" headers="mcps1.3.2.2.3.2.1.2.4.1.3 "><p id="mrs_01_24023__p1499122161914">Example: comma (<strong id="mrs_01_24023__b1333187192919">,</strong>)</p>
+</td>
+</tr>
+<tr id="mrs_01_24023__row531141691917"><td class="cellrowborder" valign="top" width="15.920000000000002%" headers="mcps1.3.2.2.3.2.1.2.4.1.1 "><p id="mrs_01_24023__p17321616111914">Row Separator</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.81999999999999%" headers="mcps1.3.2.2.3.2.1.2.4.1.2 "><p id="mrs_01_24023__p7322162194">Line break in the file, including <strong id="mrs_01_24023__b338014414303">\r</strong>, <strong id="mrs_01_24023__b1467112615303">\n</strong>, and <strong id="mrs_01_24023__b2608121153013">\r\n</strong>.</p>
+<p id="mrs_01_24023__p141735703513">This parameter is available when <strong id="mrs_01_24023__b8969345173019">Mapping Table Type</strong> is set to <strong id="mrs_01_24023__b915847193011">HDFS</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.26%" headers="mcps1.3.2.2.3.2.1.2.4.1.3 "><p id="mrs_01_24023__p1318319328237">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24023__row095742211393"><td class="cellrowborder" valign="top" width="15.920000000000002%" headers="mcps1.3.2.2.3.2.1.2.4.1.1 "><p id="mrs_01_24023__p9957112219398">Column Separator</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.81999999999999%" headers="mcps1.3.2.2.3.2.1.2.4.1.2 "><p id="mrs_01_24023__p10957172243918">Field separator in the file.</p>
+<p id="mrs_01_24023__p13449915163616">This parameter is available when <strong id="mrs_01_24023__b152712233319">Mapping Table Type</strong> is set to <strong id="mrs_01_24023__b033152310317">HDFS</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.26%" headers="mcps1.3.2.2.3.2.1.2.4.1.3 "><p id="mrs_01_24023__p595715227392">Example: comma (<strong id="mrs_01_24023__b149886288323">,</strong>)</p>
+</td>
+</tr>
+<tr id="mrs_01_24023__row85381841912"><td class="cellrowborder" valign="top" width="15.920000000000002%" headers="mcps1.3.2.2.3.2.1.2.4.1.1 "><p id="mrs_01_24023__p11538189197">Stream Table Structure</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.81999999999999%" headers="mcps1.3.2.2.3.2.1.2.4.1.2 "><p id="mrs_01_24023__p185381688191">Stream/Table structure, including <strong id="mrs_01_24023__b1077016157368">Name</strong> and <strong id="mrs_01_24023__b299731683612">Type</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.26%" headers="mcps1.3.2.2.3.2.1.2.4.1.3 "><p id="mrs_01_24023__p453810821911">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24023__row17711145293917"><td class="cellrowborder" valign="top" width="15.920000000000002%" headers="mcps1.3.2.2.3.2.1.2.4.1.1 "><p id="mrs_01_24023__p137111352183918">Proctime</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.81999999999999%" headers="mcps1.3.2.2.3.2.1.2.4.1.2 "><p id="mrs_01_24023__p2711175293914">System time, which is irrelevant to the data timestamp. That is, the time when the calculation is complete in Flink operators.</p>
+<p id="mrs_01_24023__p1405163873412">This parameter is available when <strong id="mrs_01_24023__b6532194143817">Type</strong> is set to <strong id="mrs_01_24023__b1337186133819">Source</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.26%" headers="mcps1.3.2.2.3.2.1.2.4.1.3 "><p id="mrs_01_24023__p971155213391">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24023__row271313569396"><td class="cellrowborder" valign="top" width="15.920000000000002%" headers="mcps1.3.2.2.3.2.1.2.4.1.1 "><p id="mrs_01_24023__p147131056153918">Event Time</p>
+</td>
+<td class="cellrowborder" valign="top" width="59.81999999999999%" headers="mcps1.3.2.2.3.2.1.2.4.1.2 "><p id="mrs_01_24023__p071319569391">Time when an event is generated, that is, the timestamp generated during data generation.</p>
+<p id="mrs_01_24023__p111134663415">This parameter is available when <strong id="mrs_01_24023__b62141319405">Type</strong> is set to <strong id="mrs_01_24023__b22271374010">Source</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="24.26%" headers="mcps1.3.2.2.3.2.1.2.4.1.3 "><p id="mrs_01_24023__p11713205612390">-</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_24023__section1046945219530"><h4 class="sectiontitle">Editing a Stream Table</h4><ol id="mrs_01_24023__ol14500192833618"><li id="mrs_01_24023__li229653873613"><span>Access the Flink web UI. For details, see <a href="mrs_01_24019.html">Accessing the Flink Web UI</a>.</span></li><li id="mrs_01_24023__li15296153833610"><span>Click <strong id="mrs_01_24023__b117688411436">Table Management</strong>. The table management page is displayed.</span></li><li id="mrs_01_24023__li8522134012367"><span>In the <strong id="mrs_01_24023__b1987694374012">Operation</strong> column of the item to be modified, click <strong id="mrs_01_24023__b18815431408">Edit</strong>. On the displayed page, modify the stream table information by referring to <a href="#mrs_01_24023__table205858588169">Table 1</a> and click <strong id="mrs_01_24023__b1588134304019">OK</strong>.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_24023__section1897053010111"><h4 class="sectiontitle">Searching for a stream table</h4><ol id="mrs_01_24023__ol15610618716"><li id="mrs_01_24023__li106105185114"><span>Access the Flink web UI. For details, see <a href="mrs_01_24019.html">Accessing the Flink Web UI</a>.</span></li><li id="mrs_01_24023__li106101818610"><span>Click <strong id="mrs_01_24023__b59951114114311">Table Management</strong>. The table management page is displayed.</span></li><li id="mrs_01_24023__li7610171814118"><span>In the upper right corner of the page, you can enter a keyword to search for stream table information.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_24023__section78816534119"><h4 class="sectiontitle">Deleting a Stream Table</h4><ol id="mrs_01_24023__ol20610121811112"><li id="mrs_01_24023__li8610151810113"><span>Access the Flink web UI. For details, see <a href="mrs_01_24019.html">Accessing the Flink Web UI</a>.</span></li><li id="mrs_01_24023__li146105181917"><span>Click <strong id="mrs_01_24023__b102028257431">Table Management</strong>. The table management page is displayed.</span></li><li id="mrs_01_24023__li56101018315"><span>In the <strong id="mrs_01_24023__b666112714439">Operation</strong> column of the item to be deleted, click <strong id="mrs_01_24023__b12666192715437">Delete</strong>, and click <strong id="mrs_01_24023__b1066672716436">OK</strong> in the displayed page.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24014.html">Using the Flink Web UI</a></div>
+</div>
+</div>
+
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@@ -0,0 +1,170 @@
+<a name="mrs_01_24024"></a><a name="mrs_01_24024"></a>
+
+<h1 class="topictitle1">Managing Jobs on the Flink Web UI</h1>
+<div id="body0000001079914166"><div class="section" id="mrs_01_24024__s9f93d0a70cdc4575b48c96902a562dfe"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_24024__p7684161264218">Define Flink jobs, including Flink SQL and Flink JAR jobs.</p>
+</div>
+<div class="section" id="mrs_01_24024__section1746418521537"><h4 class="sectiontitle">Creating a Job</h4><ol id="mrs_01_24024__ol10782141514100"><li id="mrs_01_24024__li17782181511106"><span>Access the Flink web UI. For details, see <a href="mrs_01_24019.html">Accessing the Flink Web UI</a>.</span></li><li id="mrs_01_24024__li63513497107"><span>Click <strong id="mrs_01_24024__b5544194913395">Job Management</strong>. The job management page is displayed.</span></li><li id="mrs_01_24024__li1090586142519"><span>Click <strong id="mrs_01_24024__b0111303449">Create Job</strong>. On the displayed job creation page, set parameters by referring to <a href="#mrs_01_24024__table25451917135812">Table 1</a> and click <strong id="mrs_01_24024__b1527129104511">OK</strong>. The job development page is displayed.</span><p>
+<div class="tablenoborder"><a name="mrs_01_24024__table25451917135812"></a><a name="table25451917135812"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24024__table25451917135812" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameters for creating a job</caption><thead align="left"><tr id="mrs_01_24024__row15452172582"><th align="left" class="cellrowborder" valign="top" width="26.229999999999997%" id="mcps1.3.2.2.3.2.1.2.3.1.1"><p id="mrs_01_24024__p1654518179581">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="73.77%" id="mcps1.3.2.2.3.2.1.2.3.1.2"><p id="mrs_01_24024__p1854616178589">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24024__row05461617175810"><td class="cellrowborder" valign="top" width="26.229999999999997%" headers="mcps1.3.2.2.3.2.1.2.3.1.1 "><p id="mrs_01_24024__p10546191715819">Type</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.77%" headers="mcps1.3.2.2.3.2.1.2.3.1.2 "><p id="mrs_01_24024__p19546121765818">Job type, which can be <strong id="mrs_01_24024__b52171845174817">Flink SQL</strong> or <strong id="mrs_01_24024__b22365487484">Flink Jar</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_24024__row18546117135812"><td class="cellrowborder" valign="top" width="26.229999999999997%" headers="mcps1.3.2.2.3.2.1.2.3.1.1 "><p id="mrs_01_24024__p1354661719588">Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.77%" headers="mcps1.3.2.2.3.2.1.2.3.1.2 "><p id="mrs_01_24024__p135461017125815">Job name, which can contain a maximum of 64 characters. Only letters, digits, and underscores (_) are allowed.</p>
+</td>
+</tr>
+<tr id="mrs_01_24024__row0546111775820"><td class="cellrowborder" valign="top" width="26.229999999999997%" headers="mcps1.3.2.2.3.2.1.2.3.1.1 "><p id="mrs_01_24024__p20546161735819">Task Type</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.77%" headers="mcps1.3.2.2.3.2.1.2.3.1.2 "><p id="mrs_01_24024__p55461817175811">Type of the job data source, which can be a stream job or a batch job.</p>
+</td>
+</tr>
+<tr id="mrs_01_24024__row9546171710585"><td class="cellrowborder" valign="top" width="26.229999999999997%" headers="mcps1.3.2.2.3.2.1.2.3.1.1 "><p id="mrs_01_24024__p654615172587">Description</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.77%" headers="mcps1.3.2.2.3.2.1.2.3.1.2 "><p id="mrs_01_24024__p654681775813">Job description, which can contain a maximum of 100 characters.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_24024__li3175133444316"><a name="mrs_01_24024__li3175133444316"></a><a name="li3175133444316"></a><span>(Optional) If you need to develop a job immediately, configure the job on the job development page.</span><p><ul id="mrs_01_24024__ul175444414345"><li id="mrs_01_24024__li1375424453411">Creating a Flink SQL job<ol type="a" id="mrs_01_24024__ol4292195603310"><li id="mrs_01_24024__li1928995603314">Develop the job on the job development page.<p id="mrs_01_24024__p1245153734620"><a name="mrs_01_24024__li1928995603314"></a><a name="li1928995603314"></a></p>
+</li><li id="mrs_01_24024__li1328915611333">Click <strong id="mrs_01_24024__b880175115312">Check Semantic</strong> to check the input content and click <strong id="mrs_01_24024__b31149250413">Format SQL</strong> to format SQL statements.</li><li id="mrs_01_24024__li1529205610335">After the job SQL statements are developed, set basic and customized parameters as required by referring to <a href="#mrs_01_24024__table4292165617332">Table 2</a> and click <strong id="mrs_01_24024__b637231284919">Save</strong>.
+<div class="tablenoborder"><a name="mrs_01_24024__table4292165617332"></a><a name="table4292165617332"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24024__table4292165617332" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Basic parameters</caption><thead align="left"><tr id="mrs_01_24024__row1028955610338"><th align="left" class="cellrowborder" valign="top" width="27.029999999999998%" id="mcps1.3.2.2.4.2.1.1.1.3.3.2.3.1.1"><p id="mrs_01_24024__p12289956183311">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="72.97%" id="mcps1.3.2.2.4.2.1.1.1.3.3.2.3.1.2"><p id="mrs_01_24024__p5289856193319">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24024__row11290115616338"><td class="cellrowborder" valign="top" width="27.029999999999998%" headers="mcps1.3.2.2.4.2.1.1.1.3.3.2.3.1.1 "><p id="mrs_01_24024__p32898569334">Parallelism</p>
+</td>
+<td class="cellrowborder" valign="top" width="72.97%" headers="mcps1.3.2.2.4.2.1.1.1.3.3.2.3.1.2 "><p id="mrs_01_24024__p1129013566339">Number of concurrent jobs. The value must be a positive integer containing a maximum of 64 characters.</p>
+</td>
+</tr>
+<tr id="mrs_01_24024__row102909563339"><td class="cellrowborder" valign="top" width="27.029999999999998%" headers="mcps1.3.2.2.4.2.1.1.1.3.3.2.3.1.1 "><p id="mrs_01_24024__p1329065611335">Maximum Operator Parallelism</p>
+</td>
+<td class="cellrowborder" valign="top" width="72.97%" headers="mcps1.3.2.2.4.2.1.1.1.3.3.2.3.1.2 "><p id="mrs_01_24024__p19290105643318">Maximum parallelism of operators. The value must be a positive integer containing a maximum of 64 characters.</p>
+</td>
+</tr>
+<tr id="mrs_01_24024__row1729015623313"><td class="cellrowborder" valign="top" width="27.029999999999998%" headers="mcps1.3.2.2.4.2.1.1.1.3.3.2.3.1.1 "><p id="mrs_01_24024__p1729065616331">JobManager Memory (MB)</p>
+</td>
+<td class="cellrowborder" valign="top" width="72.97%" headers="mcps1.3.2.2.4.2.1.1.1.3.3.2.3.1.2 "><p id="mrs_01_24024__p13290185623317">Memory of JobManager The minimum value is <strong id="mrs_01_24024__b134415213166">512</strong> and the value can contain a maximum of 64 characters.</p>
+</td>
+</tr>
+<tr id="mrs_01_24024__row429095673317"><td class="cellrowborder" valign="top" width="27.029999999999998%" headers="mcps1.3.2.2.4.2.1.1.1.3.3.2.3.1.1 "><p id="mrs_01_24024__p52901056143312">Submit Queue</p>
+</td>
+<td class="cellrowborder" valign="top" width="72.97%" headers="mcps1.3.2.2.4.2.1.1.1.3.3.2.3.1.2 "><p id="mrs_01_24024__p12290056163315">Queue to which a job is submitted. If this parameter is not set, the <strong id="mrs_01_24024__b15758207195017">default</strong> queue is used. The queue name can contain a maximum of 30 characters. Only letters, digits, and underscores (_) are allowed.</p>
+</td>
+</tr>
+<tr id="mrs_01_24024__row1029115643313"><td class="cellrowborder" valign="top" width="27.029999999999998%" headers="mcps1.3.2.2.4.2.1.1.1.3.3.2.3.1.1 "><p id="mrs_01_24024__p13290145616336">taskManager</p>
+</td>
+<td class="cellrowborder" valign="top" width="72.97%" headers="mcps1.3.2.2.4.2.1.1.1.3.3.2.3.1.2 "><p id="mrs_01_24024__p1429105683317">taskManager running parameters include:</p>
+<ul id="mrs_01_24024__ul12913561332"><li id="mrs_01_24024__li1729155614336"><strong id="mrs_01_24024__b1778182463519">Slots</strong>: If this parameter is left blank, the default value <strong id="mrs_01_24024__b198322433512">1</strong> is used.</li><li id="mrs_01_24024__li10291115610333"><strong id="mrs_01_24024__b14315582157">Memory (MB)</strong>: The minimum value is <strong id="mrs_01_24024__b594801471619">512</strong>.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_24024__row2029235663314"><td class="cellrowborder" valign="top" width="27.029999999999998%" headers="mcps1.3.2.2.4.2.1.1.1.3.3.2.3.1.1 "><p id="mrs_01_24024__p1829119565336">Enable CheckPoint</p>
+</td>
+<td class="cellrowborder" valign="top" width="72.97%" headers="mcps1.3.2.2.4.2.1.1.1.3.3.2.3.1.2 "><p id="mrs_01_24024__p329116569338">Whether to enable CheckPoint. After CheckPoint is enabled, you need to configure the following information:</p>
+<ul id="mrs_01_24024__ul6291125618332"><li id="mrs_01_24024__li17291135653319"><strong id="mrs_01_24024__b845071861718">Time Interval (ms)</strong>: This parameter is mandatory.</li><li id="mrs_01_24024__li429135620330"><strong id="mrs_01_24024__b1118432320177">Mode</strong>: This parameter is mandatory.<p id="mrs_01_24024__p15291656113316">The options are <strong id="mrs_01_24024__b14662738141716">EXACTLY_ONCE</strong> and <strong id="mrs_01_24024__b26356438174">AT_LEAST_ONCE</strong>.</p>
+</li><li id="mrs_01_24024__li62910563336"><strong id="mrs_01_24024__b838674016179">Minimum Interval (ms)</strong>: The minimum value is <strong id="mrs_01_24024__b1815765917175">10</strong>.</li><li id="mrs_01_24024__li129115693316"><strong id="mrs_01_24024__b1137717563178">Timeout Duration</strong>: The minimum value is <strong id="mrs_01_24024__b17880516187">10</strong>.</li><li id="mrs_01_24024__li1129195612333"><strong id="mrs_01_24024__b204011822151810">Maximum Parallelism</strong>: The value must be a positive integer containing a maximum of 64 characters.</li><li id="mrs_01_24024__li162911156183312"><strong id="mrs_01_24024__b15395152851910">Whether to clean up</strong>: This parameter can be set to <strong id="mrs_01_24024__b89711630101912">Yes</strong> or <strong id="mrs_01_24024__b8890183212193">No</strong>.</li><li id="mrs_01_24024__li82911565335"><strong id="mrs_01_24024__b19801749132913">Whether to enable incremental checkpoints</strong>: This parameter can be set to <strong id="mrs_01_24024__b199331557102914">Yes</strong> or <strong id="mrs_01_24024__b189331157192917">No</strong>.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_24024__row329245614335"><td class="cellrowborder" valign="top" width="27.029999999999998%" headers="mcps1.3.2.2.4.2.1.1.1.3.3.2.3.1.1 "><p id="mrs_01_24024__p10292356183315">Failure Recovery Policy</p>
+</td>
+<td class="cellrowborder" valign="top" width="72.97%" headers="mcps1.3.2.2.4.2.1.1.1.3.3.2.3.1.2 "><p id="mrs_01_24024__p18292185613312">Failure recovery policy of a job. The options are as follows:</p>
+<ul id="mrs_01_24024__ul1929205633315"><li id="mrs_01_24024__li122922568331"><strong id="mrs_01_24024__b185918195203">fixed-delay</strong>: You need to configure <strong id="mrs_01_24024__b0607114653116">Retry Times</strong> and <strong id="mrs_01_24024__b2885101715327">Retry Interval (s)</strong>.</li><li id="mrs_01_24024__li17292856183313"><strong id="mrs_01_24024__b1421502682011">failure-rate</strong>: You need to configure <strong id="mrs_01_24024__b164116212336">Max Retry Times</strong>, <strong id="mrs_01_24024__b158861137113317">Interval (min)</strong>, and <strong id="mrs_01_24024__b156411627338">Retry Interval (s)</strong>.</li><li id="mrs_01_24024__li02921956113316"><strong id="mrs_01_24024__b133331524844315">none</strong></li></ul>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_24024__li1629235619332">Click <strong id="mrs_01_24024__b10554161232118">Submit</strong> in the upper left corner to submit the job.</li></ol>
+</li><li id="mrs_01_24024__li17829033123512">Creating a Flink JAR job<ol type="a" id="mrs_01_24024__ol687255610355"><li id="mrs_01_24024__li38721856193520">Click <strong id="mrs_01_24024__b6676523491">Select</strong> to upload a local JAR file and set parameters by referring to <a href="#mrs_01_24024__table1388311381402">Table 3</a> or add customized parameters.
+<div class="tablenoborder"><a name="mrs_01_24024__table1388311381402"></a><a name="table1388311381402"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24024__table1388311381402" frame="border" border="1" rules="all"><caption><b>Table 3 </b>Parameter configuration</caption><thead align="left"><tr id="mrs_01_24024__row20884143874014"><th align="left" class="cellrowborder" valign="top" width="26.16%" id="mcps1.3.2.2.4.2.1.2.1.1.3.2.3.1.1"><p id="mrs_01_24024__p822863816415">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="73.83999999999999%" id="mcps1.3.2.2.4.2.1.2.1.1.3.2.3.1.2"><p id="mrs_01_24024__p18228113824117">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24024__row10884203894011"><td class="cellrowborder" valign="top" width="26.16%" headers="mcps1.3.2.2.4.2.1.2.1.1.3.2.3.1.1 "><p id="mrs_01_24024__p58842387401">Local .jar File</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.83999999999999%" headers="mcps1.3.2.2.4.2.1.2.1.1.3.2.3.1.2 "><p id="mrs_01_24024__p98851438124012">Upload a local JAR file. The size of the file cannot exceed 10 MB.</p>
+</td>
+</tr>
+<tr id="mrs_01_24024__row388553819406"><td class="cellrowborder" valign="top" width="26.16%" headers="mcps1.3.2.2.4.2.1.2.1.1.3.2.3.1.1 "><p id="mrs_01_24024__p2885138104019">Main Class</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.83999999999999%" headers="mcps1.3.2.2.4.2.1.2.1.1.3.2.3.1.2 "><p id="mrs_01_24024__p159931440194820">Main-Class type.</p>
+<ul id="mrs_01_24024__ul108881343204820"><li id="mrs_01_24024__li12175319483"><strong id="mrs_01_24024__b149785102615">Default</strong>: By default, the class name is specified based on the <strong id="mrs_01_24024__b36609139306">Mainfest</strong> file in the JAR file.</li><li id="mrs_01_24024__li488804374816"><strong id="mrs_01_24024__b14529316261">Specify</strong>: Manually specify the class name.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_24024__row2088563814013"><td class="cellrowborder" valign="top" width="26.16%" headers="mcps1.3.2.2.4.2.1.2.1.1.3.2.3.1.1 "><p id="mrs_01_24024__p1885133854015">Type</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.83999999999999%" headers="mcps1.3.2.2.4.2.1.2.1.1.3.2.3.1.2 "><p id="mrs_01_24024__p1350142794616">Class name.</p>
+<p id="mrs_01_24024__p19957134134615">This parameter is available when <strong id="mrs_01_24024__b3808957153320">Main Class</strong> is set to <strong id="mrs_01_24024__b175411748348">Specify</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_24024__row118854380403"><td class="cellrowborder" valign="top" width="26.16%" headers="mcps1.3.2.2.4.2.1.2.1.1.3.2.3.1.1 "><p id="mrs_01_24024__p68859389406">Class Parameter</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.83999999999999%" headers="mcps1.3.2.2.4.2.1.2.1.1.3.2.3.1.2 "><p id="mrs_01_24024__p862843014464">Class parameters of Main-Class (parameters are separated by spaces).</p>
+</td>
+</tr>
+<tr id="mrs_01_24024__row288573810408"><td class="cellrowborder" valign="top" width="26.16%" headers="mcps1.3.2.2.4.2.1.2.1.1.3.2.3.1.1 "><p id="mrs_01_24024__p128851438134016">Parallelism</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.83999999999999%" headers="mcps1.3.2.2.4.2.1.2.1.1.3.2.3.1.2 "><p id="mrs_01_24024__p688583854016">Number of concurrent jobs. The value must be a positive integer containing a maximum of 64 characters.</p>
+</td>
+</tr>
+<tr id="mrs_01_24024__row137208267543"><td class="cellrowborder" valign="top" width="26.16%" headers="mcps1.3.2.2.4.2.1.2.1.1.3.2.3.1.1 "><p id="mrs_01_24024__p1502349145417">JobManager Memory (MB)</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.83999999999999%" headers="mcps1.3.2.2.4.2.1.2.1.1.3.2.3.1.2 "><p id="mrs_01_24024__p550210494548">Memory of JobManager The minimum value is <strong id="mrs_01_24024__b107629015369">512</strong> and the value can contain a maximum of 64 characters.</p>
+</td>
+</tr>
+<tr id="mrs_01_24024__row352934075110"><td class="cellrowborder" valign="top" width="26.16%" headers="mcps1.3.2.2.4.2.1.2.1.1.3.2.3.1.1 "><p id="mrs_01_24024__p12529154005115">Submit Queue</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.83999999999999%" headers="mcps1.3.2.2.4.2.1.2.1.1.3.2.3.1.2 "><p id="mrs_01_24024__p752964085120">Queue to which a job is submitted. If this parameter is not set, the <strong id="mrs_01_24024__b398411235504">default</strong> queue is used. The queue name can contain a maximum of 30 characters. Only letters, digits, and underscores (_) are allowed.</p>
+</td>
+</tr>
+<tr id="mrs_01_24024__row11686183219512"><td class="cellrowborder" valign="top" width="26.16%" headers="mcps1.3.2.2.4.2.1.2.1.1.3.2.3.1.1 "><p id="mrs_01_24024__p14686173211514">taskManager</p>
+</td>
+<td class="cellrowborder" valign="top" width="73.83999999999999%" headers="mcps1.3.2.2.4.2.1.2.1.1.3.2.3.1.2 "><p id="mrs_01_24024__p1973512625320">taskManager running parameters include:</p>
+<ul id="mrs_01_24024__ul6736172612537"><li id="mrs_01_24024__li11736172615315"><strong id="mrs_01_24024__b171347911353">Slots</strong>: If this parameter is left blank, the default value <strong id="mrs_01_24024__b1282510453515">1</strong> is used.</li><li id="mrs_01_24024__li17736112610536"><strong id="mrs_01_24024__b817911218374">Memory (MB)</strong>: The minimum value is <strong id="mrs_01_24024__b618442118371">512</strong>.</li></ul>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li><li id="mrs_01_24024__li1169216705212">Click <strong id="mrs_01_24024__b08749305379">Save</strong> to save the configuration and click <strong id="mrs_01_24024__b995953403711">Submit</strong> to submit the job.</li></ol>
+</li></ul>
+</p></li><li id="mrs_01_24024__li104356321403"><span>Return to the job management page. You can view information about the created job, including job name, type, status, kind, and description.</span><p><div class="note" id="mrs_01_24024__note17670134953518"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_24024__p196711149203516">To read files related to the submitted job on the node as another user, ensure that the user and the user who submitted the job belong to the same user group and the user has been assigned the FlinkServer application management role. For example,<strong id="mrs_01_24024__b92169591512">application view</strong> is selected by referring to <a href="mrs_01_24049.html">Authentication Based on Users and Roles</a>.</p>
+</div></div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_24024__section1046945219530"><h4 class="sectiontitle">Starting a Job</h4><ol id="mrs_01_24024__ol14500192833618"><li id="mrs_01_24024__li229653873613"><span>Access the Flink web UI. For details, see <a href="mrs_01_24019.html">Accessing the Flink Web UI</a>.</span></li><li id="mrs_01_24024__li15296153833610"><span>Click <strong id="mrs_01_24024__b2064413153385">Job Management</strong>. The job management page is displayed.</span></li><li id="mrs_01_24024__li8522134012367"><span>In the <strong id="mrs_01_24024__b1047032310389">Operation</strong> column of the job to be started, click <strong id="mrs_01_24024__b96221527123819">Start</strong> to run the job. Jobs in the <strong id="mrs_01_24024__b1714215513813">Draft</strong>, <strong id="mrs_01_24024__b13305657113815">Saved</strong>, <strong id="mrs_01_24024__b1532785813218">Submission failed</strong>, <strong id="mrs_01_24024__b12392151072217">Running succeeded</strong>, <strong id="mrs_01_24024__b1741181312227">Running failed</strong>, or <strong id="mrs_01_24024__b18682313226">Stop</strong> state can be started.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_24024__section13996819027"><h4 class="sectiontitle">Developing a Job</h4><ol id="mrs_01_24024__ol51842013217"><li id="mrs_01_24024__li6181420129"><span>Access the Flink web UI. For details, see <a href="mrs_01_24019.html">Accessing the Flink Web UI</a>.</span></li><li id="mrs_01_24024__li131862015212"><span>Click <strong id="mrs_01_24024__b971032310395">Job Management</strong>. The job management page is displayed.</span></li><li id="mrs_01_24024__li11184202023"><span>In the <strong id="mrs_01_24024__b12505834183910">Operation</strong> column of the job to be developed, click <strong id="mrs_01_24024__b6647185553915">Develop</strong> to go to the job development page. Develop a job by referring to <a href="#mrs_01_24024__li3175133444316">4</a>. You can view created stream tables and fields in the list on the left.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_24024__section56730491528"><h4 class="sectiontitle">Editing the Job Name and Description</h4><ol id="mrs_01_24024__ol04367271828"><li id="mrs_01_24024__li543614275213"><span>Access the Flink web UI. For details, see <a href="mrs_01_24019.html">Accessing the Flink Web UI</a>.</span></li><li id="mrs_01_24024__li94361127227"><span>Click <strong id="mrs_01_24024__b17185636164219">Job Management</strong>. The job management page is displayed.</span></li><li id="mrs_01_24024__li104367278211"><span>In the <strong id="mrs_01_24024__b1258222022117">Operation</strong> column of the item to be modified, click <strong id="mrs_01_24024__b65882209219">Edit</strong>, modify <strong id="mrs_01_24024__b758882010215">Description</strong>, and click <strong id="mrs_01_24024__b185891920102118">OK</strong> to save the modification.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_24024__section5963145912219"><h4 class="sectiontitle">Viewing Job Details</h4><ol id="mrs_01_24024__ol1743615278219"><li id="mrs_01_24024__li124361327925"><span>Access the Flink web UI. For details, see <a href="mrs_01_24019.html">Accessing the Flink Web UI</a>.</span></li><li id="mrs_01_24024__li124369270216"><span>Click <strong id="mrs_01_24024__b184411628184517">Job Management</strong>. The job management page is displayed.</span></li><li id="mrs_01_24024__li9436827722"><span>In the <strong id="mrs_01_24024__b84301546194516">Operation</strong> column of the item to be viewed, choose <strong id="mrs_01_24024__b3651185144511">More</strong> &gt; <strong id="mrs_01_24024__b21551928183119">Job Monitoring</strong> to view the job running details.</span><p><div class="note" id="mrs_01_24024__note7159114555817"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_24024__p141601445185819">You can only view details about jobs in the <strong id="mrs_01_24024__b1845172104912">Running</strong> state.</p>
+</div></div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_24024__section195562101632"><h4 class="sectiontitle">Checkpoint Failure Recovery</h4><ol id="mrs_01_24024__ol18437827623"><li id="mrs_01_24024__li94372273219"><span>Access the Flink web UI. For details, see <a href="mrs_01_24019.html">Accessing the Flink Web UI</a>.</span></li><li id="mrs_01_24024__li943719279216"><span>Click <strong id="mrs_01_24024__b1842339175018">Job Management</strong>. The job management page is displayed.</span></li><li id="mrs_01_24024__li543718271427"><span>In the Operation column of the item to be restored, click <strong id="mrs_01_24024__b95261235125115">More</strong> &gt; <strong id="mrs_01_24024__b1823355035119">Checkpoint Failure Recovery</strong>. You can perform checkpoint failure recovery for jobs in the <strong id="mrs_01_24024__b699314618377">Running failed</strong>, <strong id="mrs_01_24024__b1156699378">Running Succeeded</strong>, or <strong id="mrs_01_24024__b12502811153717">Stop</strong> state.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_24024__section6622161718314"><h4 class="sectiontitle">Filtering/Searching for Jobs</h4><ol id="mrs_01_24024__ol1443714271425"><li id="mrs_01_24024__li2437527620"><span>Access the Flink web UI. For details, see <a href="mrs_01_24019.html">Accessing the Flink Web UI</a>.</span></li><li id="mrs_01_24024__li84376271629"><span>Click <strong id="mrs_01_24024__b552274913522">Job Management</strong>. The job management page is displayed.</span></li><li id="mrs_01_24024__li174379271323"><span>In the upper right corner of the page, you can obtain job information by selecting the job name, or enter a keyword to search for a job.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_24024__section1495916918417"><h4 class="sectiontitle">Stopping a Job</h4><ol id="mrs_01_24024__ol204355271427"><li id="mrs_01_24024__li14331275217"><span>Access the Flink web UI. For details, see <a href="mrs_01_24019.html">Accessing the Flink Web UI</a>.</span></li><li id="mrs_01_24024__li154352276211"><span>Click <strong id="mrs_01_24024__b1369882813555">Job Management</strong>. The job management page is displayed.</span></li><li id="mrs_01_24024__li15435127927"><span>In the <strong id="mrs_01_24024__b1164364935520">Operation</strong> column of the item to be stopped, click <strong id="mrs_01_24024__b16558165835517">Stop</strong>. Jobs in the <strong id="mrs_01_24024__b1555911705718">Submitting</strong>, <strong id="mrs_01_24024__b255221118575">Submission succeeded</strong>, or <strong id="mrs_01_24024__b10599715175716">Running</strong> state can be stopped.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_24024__section496089847"><h4 class="sectiontitle">Deleting a Job</h4><ol id="mrs_01_24024__ol743622713211"><li id="mrs_01_24024__li14367271120"><span>Access the Flink web UI. For details, see <a href="mrs_01_24019.html">Accessing the Flink Web UI</a>.</span></li><li id="mrs_01_24024__li143617271521"><span>Click <strong id="mrs_01_24024__b1267854414576">Job Management</strong>. The job management page is displayed.</span></li><li id="mrs_01_24024__li16436122712217"><span>In the <strong id="mrs_01_24024__b1746917519579">Operation</strong> column of the item to be deleted, click <strong id="mrs_01_24024__b1847065155712">Delete</strong>, and click <strong id="mrs_01_24024__b0470751165717">OK</strong> in the displayed page. Jobs in the <strong id="mrs_01_24024__b419274712411">Draft</strong>, <strong id="mrs_01_24024__b619319473243">Saved</strong>, <strong id="mrs_01_24024__b1619314716241">Submission failed</strong>, <strong id="mrs_01_24024__b1319310478246">Running succeeded</strong>, <strong id="mrs_01_24024__b819314476240">Running failed</strong>, or <strong id="mrs_01_24024__b121943473243">Stop</strong> state can be deleted.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24014.html">Using the Flink Web UI</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24025.html b/docs/mrs/component-operation-guide/mrs_01_24025.html
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@@ -0,0 +1,18 @@
+<a name="mrs_01_24025"></a><a name="mrs_01_24025"></a>
+
+<h1 class="topictitle1">Using Hudi</h1>
+<div id="body0000001128689053"><p id="mrs_01_24025__p8060118"></p>
+</div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_24033.html">Getting Started</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24062.html">Basic Operations</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24039.html">Hudi Performance Tuning</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24065.html">Common Issues About Hudi</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24032.html b/docs/mrs/component-operation-guide/mrs_01_24032.html
new file mode 100644
index 000000000..6eba690c9
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24032.html
@@ -0,0 +1,26 @@
+<a name="mrs_01_24032"></a><a name="mrs_01_24032"></a>
+
+<h1 class="topictitle1">Configuration Reference</h1>
+<div id="body0000001081912248"><p id="mrs_01_24032__p8060118">This section describes important Hudi configurations. For details, visit the Hudi official website <a href="https://hudi.apache.org/docs/configurations.html" target="_blank" rel="noopener noreferrer">https://hudi.apache.org/docs/configurations.html</a>.</p>
+</div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_24093.html">Write Configuration</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24094.html">Configuration of Hive Table Synchronization</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24095.html">Index Configuration</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24096.html">Storage Configuration</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24097.html">Compaction and Cleaning Configurations</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24167.html">Single-Table Concurrent Write Configuration</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24062.html">Basic Operations</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24033.html b/docs/mrs/component-operation-guide/mrs_01_24033.html
new file mode 100644
index 000000000..5a3469b26
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24033.html
@@ -0,0 +1,106 @@
+<a name="mrs_01_24033"></a><a name="mrs_01_24033"></a>
+
+<h1 class="topictitle1">Getting Started</h1>
+<div id="body0000001128534151"><div class="section" id="mrs_01_24033__section665164316242"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_24033__p5148178123214">This section describes capabilities of Hudi using spark-shell. Using the Spark data source, this section describes how to insert and update a Hudi dataset of the default storage mode Copy-on Write (COW) tables based on code snippets. After each write operation, you will be introduced how to read snapshot and incremental data.</p>
+</div>
+<div class="section" id="mrs_01_24033__section192812104215"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_24033__ul7364164620447"><li id="mrs_01_24033__li2815112015460">You have created a user and added the user to user groups <strong id="mrs_01_24033__b185096412813">hadoop</strong> (primary group) and <strong id="mrs_01_24033__b10500079814">hive</strong> on Manager.</li></ul>
+</div>
+<div class="section" id="mrs_01_24033__section13661165916315"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_24033__ol18943144812358"><li id="mrs_01_24033__li20426610193114"><span>Download and install the Hudi client. For details, see <a href="mrs_01_2127.html">Installing a Client (Version 3.x or Later)</a>.</span><p><div class="note" id="mrs_01_24033__note1528652712326"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_24033__p22862273327">Currently, Hudi is integrated in Spark2x. You only need to download the Spark2x client on Manager. For example, the client installation directory is <strong id="mrs_01_24033__b4350105913495">/opt/client</strong>.</p>
+</div></div>
+</p></li><li id="mrs_01_24033__li6424125918379"><a name="mrs_01_24033__li6424125918379"></a><a name="li6424125918379"></a><span>Log in to the node where the client is installed as user <strong id="mrs_01_24033__b1337718421528">root</strong> and run the following command:</span><p><p id="mrs_01_24033__p6725162313386"><strong id="mrs_01_24033__b174082193119">cd  /opt/client</strong></p>
+</p></li><li id="mrs_01_24033__li7810145113516"><span>Run the following commands to load environment variables:</span><p><p id="mrs_01_24033__p168151820193616"><strong id="mrs_01_24033__b1338342213512">source bigdata_env</strong></p>
+<p id="mrs_01_24033__p42231120113619"><strong id="mrs_01_24033__b12223132010362">source Hudi/component_env</strong></p>
+<p id="mrs_01_24033__p1022311204363"><strong id="mrs_01_24033__b15938133716363">kinit </strong><em id="mrs_01_24033__i848712529462">Created user</em></p>
+<div class="note" id="mrs_01_24033__note4405123718714"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_24033__ul187091039133214"><li id="mrs_01_24033__li1771073963219">You need to change the password of the created user, and then run the <strong id="mrs_01_24033__b9803240328470">kinit</strong> command to log in to the system again.</li><li id="mrs_01_24033__li187101839113218">In normal mode (Kerberos authentication disabled), you do not need to run the <strong id="mrs_01_24033__b1644312378321">kinit</strong> command.</li></ul>
+</div></div>
+</p></li><li id="mrs_01_24033__li654313073616"><a name="mrs_01_24033__li654313073616"></a><a name="li654313073616"></a><span>Use <strong id="mrs_01_24033__b1552914518302">spark-shell --master yarn-client</strong> to import Hudi packages to generate test data:</span><p><pre class="screen" id="mrs_01_24033__screen1572515110358">// Import required packages.
+import org.apache.hudi.QuickstartUtils._
+import scala.collection.JavaConversions._
+import org.apache.spark.sql.SaveMode._
+import org.apache.hudi.DataSourceReadOptions._
+import org.apache.hudi.DataSourceWriteOptions._
+import org.apache.hudi.config.HoodieWriteConfig._
+// Define the table name and storage path to generate test data.
+val tableName = "hudi_cow_table"
+val basePath = "hdfs://hacluster/tmp/hudi_cow_table"
+val dataGen = new DataGenerator
+val inserts = convertToStringList(dataGen.generateInserts(10))
+val df = spark.read.json(spark.sparkContext.parallelize(inserts, 2))</pre>
+</p></li><li id="mrs_01_24033__li1916195433012"><span>Write data to the Hudi table in overwrite mode.</span><p><pre class="screen" id="mrs_01_24033__screen8865155113014">df.write.format("org.apache.hudi").
+options(getQuickstartWriteConfigs).
+option(PRECOMBINE_FIELD_OPT_KEY, "ts").
+option(RECORDKEY_FIELD_OPT_KEY, "uuid").
+option(PARTITIONPATH_FIELD_OPT_KEY, "partitionpath").
+option(TABLE_NAME, tableName).
+mode(Overwrite).
+save(basePath)</pre>
+</p></li><li id="mrs_01_24033__li208375443617"><span>Query the Hudi table.</span><p><p id="mrs_01_24033__p479241816364">Register a temporary table and query the table.</p>
+<pre class="screen" id="mrs_01_24033__screen161561083120">val roViewDF = spark.
+read.
+format("org.apache.hudi").
+load(basePath + "/*/*/*/*")
+roViewDF.createOrReplaceTempView("hudi_ro_table")
+spark.sql("select fare, begin_lon, begin_lat, ts from  hudi_ro_table where fare &gt; 20.0").show()</pre>
+</p></li><li id="mrs_01_24033__li53341630153711"><span>Generate new data and update the Hudi table in append mode.</span><p><pre class="screen" id="mrs_01_24033__screen1676171033113">val updates = convertToStringList(dataGen.generateUpdates(10))
+val df = spark.read.json(spark.sparkContext.parallelize(updates, 1))
+df.write.format("org.apache.hudi").
+options(getQuickstartWriteConfigs).
+option(PRECOMBINE_FIELD_OPT_KEY, "ts").
+option(RECORDKEY_FIELD_OPT_KEY, "uuid").
+option(PARTITIONPATH_FIELD_OPT_KEY, "partitionpath").
+option(TABLE_NAME, tableName).
+mode(Append).
+save(basePath)</pre>
+</p></li><li id="mrs_01_24033__li1220334433810"><span>Query incremental data in the Hudi table.</span><p><ul id="mrs_01_24033__ul249493483710"><li id="mrs_01_24033__li104945347374">Reload data.<pre class="screen" id="mrs_01_24033__screen13861820163117">spark.
+read.
+format("org.apache.hudi").
+load(basePath + "/*/*/*/*").
+createOrReplaceTempView("hudi_ro_table")</pre>
+</li><li id="mrs_01_24033__li7475939123720">Perform the incremental query.<pre class="screen" id="mrs_01_24033__screen1810923013317">val commits = spark.sql("select distinct(_hoodie_commit_time) as commitTime from  hudi_ro_table order by commitTime").map(k =&gt; k.getString(0)).take(50)
+val beginTime = commits(commits.length - 2)
+val incViewDF = spark.
+read.
+format("org.apache.hudi").
+option(VIEW_TYPE_OPT_KEY, VIEW_TYPE_INCREMENTAL_OPT_VAL).
+option(BEGIN_INSTANTTIME_OPT_KEY, beginTime).
+load(basePath);
+incViewDF.registerTempTable("hudi_incr_table")
+spark.sql("select `_hoodie_commit_time`, fare, begin_lon, begin_lat, ts from  hudi_incr_table where fare &gt; 20.0").show()</pre>
+</li></ul>
+</p></li><li id="mrs_01_24033__li18176123364020"><span>Perform the point-in-time query.</span><p><pre class="screen" id="mrs_01_24033__screen1471853933114">val beginTime = "000"
+val endTime = commits(commits.length - 2)
+val incViewDF = spark.read.format("org.apache.hudi").
+option(VIEW_TYPE_OPT_KEY, VIEW_TYPE_INCREMENTAL_OPT_VAL).
+option(BEGIN_INSTANTTIME_OPT_KEY, beginTime).
+option(END_INSTANTTIME_OPT_KEY, endTime).
+load(basePath);
+incViewDF.registerTempTable("hudi_incr_table")
+spark.sql("select `_hoodie_commit_time`, fare, begin_lon, begin_lat, ts from  hudi_incr_table where fare &gt; 20.0").show()</pre>
+</p></li><li id="mrs_01_24033__li351416371594"><span>Delete data.</span><p><ul id="mrs_01_24033__ul107433714381"><li id="mrs_01_24033__li37493743814">Prepare the data to be deleted.<pre class="screen" id="mrs_01_24033__screen22288495318">val df = spark.sql("select uuid, partitionpath from hudi_ro_table limit 2")
+val deletes = dataGen.generateDeletes(df.collectAsList())</pre>
+</li><li id="mrs_01_24033__li4908144520387">Execute the deletion.<pre class="screen" id="mrs_01_24033__screen9550125763111">val df = spark.read.json(spark.sparkContext.parallelize(deletes, 2));
+df.write.format("org.apache.hudi").
+options(getQuickstartWriteConfigs).
+option(OPERATION_OPT_KEY,"delete").
+option(PRECOMBINE_FIELD_OPT_KEY, "ts").
+option(RECORDKEY_FIELD_OPT_KEY, "uuid").
+option(PARTITIONPATH_FIELD_OPT_KEY, "partitionpath").
+option(TABLE_NAME, tableName).
+mode(Append).
+save(basePath);</pre>
+</li><li id="mrs_01_24033__li1849311012399">Query data again.<pre class="screen" id="mrs_01_24033__screen203246683211">val roViewDFAfterDelete = spark.
+read.
+format("org.apache.hudi").
+load(basePath + "/*/*/*/*")
+roViewDFAfterDelete.createOrReplaceTempView("hudi_ro_table")
+spark.sql("select uuid, partitionPath from hudi_ro_table").show()</pre>
+</li></ul>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24025.html">Using Hudi</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24034.html b/docs/mrs/component-operation-guide/mrs_01_24034.html
new file mode 100644
index 000000000..cf1c70082
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24034.html
@@ -0,0 +1,18 @@
+<a name="mrs_01_24034"></a><a name="mrs_01_24034"></a>
+
+<h1 class="topictitle1">Write</h1>
+<div id="body0000001082231836"><p id="mrs_01_24034__p8060118">Currently, Spark and Flink can be used as write engines for Hudi. The capability of Flink of the current version is weak and not recommended. It will be enhanced in later versions.</p>
+</div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_24035.html">Batch Write</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24064.html">Synchronizing Hudi Table Data to Hive</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24062.html">Basic Operations</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24035.html b/docs/mrs/component-operation-guide/mrs_01_24035.html
new file mode 100644
index 000000000..900ce4549
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24035.html
@@ -0,0 +1,186 @@
+<a name="mrs_01_24035"></a><a name="mrs_01_24035"></a>
+
+<h1 class="topictitle1">Batch Write</h1>
+<div id="body0000001081783758"><div class="section" id="mrs_01_24035__section027962805014"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_24035__p8060118">Hudi provides multiple write modes. For details, see the configuration item <strong id="mrs_01_24035__b76921557419">hoodie.datasource.write.operation</strong>. This section describes <strong id="mrs_01_24035__b176981159414">upsert</strong>, <strong id="mrs_01_24035__b1669845147">insert</strong>, and <strong id="mrs_01_24035__b169985243">bulk_insert</strong>.</p>
+<ul id="mrs_01_24035__ul9734944113114"><li id="mrs_01_24035__li165961848113111"><strong id="mrs_01_24035__b53531517220">insert</strong>: The operation process is similar to <strong id="mrs_01_24035__b14354451427">upsert</strong>. The query on updated file partitions is not based on indexes. Therefore, <strong id="mrs_01_24035__b20354155111218">insert</strong> is faster than <strong id="mrs_01_24035__b835412511128">upsert</strong>. This operation is recommended for data sources that do not contain updated data. If the data source contains updated data, duplicate data will exist in the data lake.</li><li id="mrs_01_24035__li196117525311"><strong id="mrs_01_24035__b134592216410">bulk_insert</strong> (insert in batches): It is used for initial dataset loading. This operation sorts primary keys and then inserts data into a Hudi table by writing data to a common Parquet table. It has the best performance but cannot control small files. The <strong id="mrs_01_24035__b14609211546">upsert</strong> and <strong id="mrs_01_24035__b146172115412">insert</strong> operations can control small files by using heuristics.</li><li id="mrs_01_24035__li3742101711107"><strong id="mrs_01_24035__b218112618410">upsert</strong> (insert and update): It is the default operation type. Hudi determines whether historical data exists based on the primary key. Historical data is updated, and other data is inserted. This operation is recommended for data sources, such as change data capture (CDC), that include updated data.</li></ul>
+<div class="note" id="mrs_01_24035__note1494105851616"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_24035__ul3798195015318"><li id="mrs_01_24035__li14798125019313">Primary keys are not sorted during <strong id="mrs_01_24035__b1740519919409">insert</strong>. Therefore, you are not advised to use <strong id="mrs_01_24035__b13405199134011">insert</strong> during dataset initialization.</li><li id="mrs_01_24035__li6799350131">You are advised to use <strong id="mrs_01_24035__b17541020194014">insert</strong> if data is new, use <strong id="mrs_01_24035__b11603202400">upsert</strong> if data needs to be updated, and use <strong id="mrs_01_24035__b206172014014">bulk_insert</strong> if datasets need to be initialized.</li></ul>
+</div></div>
+</div>
+<div class="section" id="mrs_01_24035__section749043265111"><h4 class="sectiontitle">Writing Data to Hudi Tables In Batches</h4><ol id="mrs_01_24035__ol16216638171512"><li id="mrs_01_24035__li192161038141516">Import the Hudi package to generate test data. For details, see <a href="mrs_01_24033.html#mrs_01_24033__li6424125918379">2</a> to <a href="mrs_01_24033.html#mrs_01_24033__li654313073616">4</a> in <a href="mrs_01_24033.html">Getting Started</a>.</li><li id="mrs_01_24035__li1953116488175">Add the <strong id="mrs_01_24035__b04611113919">option("hoodie.datasource.write.operation", "bulk_insert")</strong> parameter to the command for writing data to a Hudi table to set the write mode to bulk_insert. For example:<pre class="screen" id="mrs_01_24035__screen17490349195">df.write.format("org.apache.hudi").
+options(getQuickstartWriteConfigs).
+option("hoodie.datasource.write.precombine.field", "ts").
+option("hoodie.datasource.write.recordkey.field", "uuid").
+option("hoodie.datasource.write.partitionpath.field", "").
+<strong id="mrs_01_24035__b10519027173013">option("hoodie.datasource.write.operation", "bulk_insert")</strong>.
+option("hoodie.table.name", tableName).
+option("hoodie.datasource.write.keygenerator.class", "org.apache.hudi.keygen.NonpartitionedKeyGenerator").
+option("hoodie.datasource.hive_sync.enable", "true").
+option("hoodie.datasource.hive_sync.partition_fields", "").
+option("hoodie.datasource.hive_sync.partition_extractor_class", "org.apache.hudi.hive.NonPartitionedExtractor").
+option("hoodie.datasource.hive_sync.table", tableName).
+option("hoodie.datasource.hive_sync.use_jdbc", "false").
+option("hoodie.bulkinsert.shuffle.parallelism", 4).
+mode(Overwrite).
+save(basePath)</pre>
+<div class="note" id="mrs_01_24035__note414974584913"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_24035__ul1469264874914"><li id="mrs_01_24035__li2813185119204">For details about the parameters in the example, see <a href="mrs_01_24093.html#mrs_01_24093__table1815615307121">Table 1</a>.</li><li id="mrs_01_24035__li869274894910">If the Spark DataSource API is used to update the MOR table, small files of the updated data may be merged when a small volume of data is inserted. As a result, some updated data can be found in the read-optimized view of the MOR table.</li><li id="mrs_01_24035__li9692174814491">If the base file of the data to be updated is a small file, the data to be inserted and new data for update are merged with the base file to generate a new base file instead of being written to logs.</li></ul>
+</div></div>
+</li></ol>
+</div>
+<div class="section" id="mrs_01_24035__section156299412448"><h4 class="sectiontitle">Configuring Partitions</h4><p id="mrs_01_24035__p181081744414">Hudi supports multiple partitioning modes, such as multi-level partitioning, non-partitioning, single-level partitioning, and partitioning by date. You can select a proper partitioning mode as required. The following describes how to configure different partitioning modes for Hudi.</p>
+</div>
+<ul id="mrs_01_24035__ul91969562562"><li id="mrs_01_24035__li171967560566">Multi-level partitioning<p id="mrs_01_24035__p82191118165614"><a name="mrs_01_24035__li171967560566"></a><a name="li171967560566"></a>Multi-level partitioning indicates that multiple fields are specified as partition keys. Pay attention to the following configuration items:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24035__table12536135911448" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_24035__row165361159124416"><th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.4.1.2.1.3.1.1"><p id="mrs_01_24035__p18536659114412">Configuration Item</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.4.1.2.1.3.1.2"><p id="mrs_01_24035__p153775924416">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24035__row0537185944414"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.1.2.1.3.1.1 "><p id="mrs_01_24035__p17537105914412">hoodie.datasource.write.partitionpath.field</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.1.2.1.3.1.2 "><p id="mrs_01_24035__p75375594442">Configure multiple partition fields, for example, <strong id="mrs_01_24035__b19896903939458">p1</strong>, <strong id="mrs_01_24035__b3493854019458">p2</strong>, and <strong id="mrs_01_24035__b21218018549458">p3</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_24035__row15839108184516"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.1.2.1.3.1.1 "><p id="mrs_01_24035__p58401989459">hoodie.datasource.hive_sync.partition_fields</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.1.2.1.3.1.2 "><p id="mrs_01_24035__p14269131895712">Set this parameter to <strong id="mrs_01_24035__b12382830868">p1</strong>, <strong id="mrs_01_24035__b7383133017611">p2</strong>, and <strong id="mrs_01_24035__b1038413016613">p3</strong>. The values must be the same as the partition fields of <strong id="mrs_01_24035__b132360291279">hoodie.datasource.write.partitionpath.field</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_24035__row653715596445"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.1.2.1.3.1.1 "><p id="mrs_01_24035__p14537759194418">hoodie.datasource.write.keygenerator.class</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.1.2.1.3.1.2 "><p id="mrs_01_24035__p1053735914411">Set this parameter to <strong id="mrs_01_24035__b12733157777">org.apache.hudi.keygen.ComplexKeyGenerator</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_24035__row14537859164414"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.1.2.1.3.1.1 "><p id="mrs_01_24035__p15537759124411">hoodie.datasource.hive_sync.partition_extractor_class</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.4.1.2.1.3.1.2 "><p id="mrs_01_24035__p853785911441">Set this parameter to <strong id="mrs_01_24035__b45804519817">org.apache.hudi.hive.MultiPartKeysValueExtractor</strong>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+<ul id="mrs_01_24035__ul178191845937"><li id="mrs_01_24035__li8819144517317">Non-partitioning<p id="mrs_01_24035__p0755011214"><a name="mrs_01_24035__li8819144517317"></a><a name="li8819144517317"></a>Hudi supports non-partitioned tables. Pay attention to the following configuration items:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24035__table2080593016473" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_24035__row4807530124716"><th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.5.1.2.1.3.1.1"><p id="mrs_01_24035__p20807193018471">Configuration Item</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.5.1.2.1.3.1.2"><p id="mrs_01_24035__p18807130124710">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24035__row108076306474"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.1.2.1.3.1.1 "><p id="mrs_01_24035__p19807123034718">hoodie.datasource.write.partitionpath.field</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.1.2.1.3.1.2 "><p id="mrs_01_24035__p18078303478">Leave this parameter blank.</p>
+</td>
+</tr>
+<tr id="mrs_01_24035__row208071930144718"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.1.2.1.3.1.1 "><p id="mrs_01_24035__p58075302479">hoodie.datasource.hive_sync.partition_fields</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.1.2.1.3.1.2 "><p id="mrs_01_24035__p6807530164714">Leave this parameter blank.</p>
+</td>
+</tr>
+<tr id="mrs_01_24035__row68071430184718"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.1.2.1.3.1.1 "><p id="mrs_01_24035__p1680713054716">hoodie.datasource.write.keygenerator.class</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.1.2.1.3.1.2 "><p id="mrs_01_24035__p4807930134713">Set this parameter to <strong id="mrs_01_24035__b57421793917">org.apache.hudi.keygen.NonpartitionedKeyGenerator</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_24035__row108077308476"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.1.2.1.3.1.1 "><p id="mrs_01_24035__p280753004710">hoodie.datasource.hive_sync.partition_extractor_class</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.5.1.2.1.3.1.2 "><p id="mrs_01_24035__p3807143004720">Set this parameter to <strong id="mrs_01_24035__b1087010271196">org.apache.hudi.hive.NonPartitionedExtractor</strong>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+<ul id="mrs_01_24035__ul1461625111612"><li id="mrs_01_24035__li561719518612">Single-level partitioning<p id="mrs_01_24035__p95233182043"><a name="mrs_01_24035__li561719518612"></a><a name="li561719518612"></a>It is similar to multi-level partitioning. Pay attention to the following configuration items:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24035__table159054496487" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_24035__row10906194914485"><th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.6.1.2.1.3.1.1"><p id="mrs_01_24035__p5906154918483">Configuration Item</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.6.1.2.1.3.1.2"><p id="mrs_01_24035__p119061491481">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24035__row590644964817"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.1.2.1.3.1.1 "><p id="mrs_01_24035__p139067493485">hoodie.datasource.write.partitionpath.field</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.1.2.1.3.1.2 "><p id="mrs_01_24035__p5906194924813">Set this parameter to one field, for example, <strong id="mrs_01_24035__b23882671019">p</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_24035__row179060494485"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.1.2.1.3.1.1 "><p id="mrs_01_24035__p132351551134910">hoodie.datasource.hive_sync.partition_fields</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.1.2.1.3.1.2 "><p id="mrs_01_24035__p203931147195616">Set this parameter to <strong id="mrs_01_24035__b09845187100">p</strong>.</p>
+<p id="mrs_01_24035__p193921947125612">The value must be the same as the partition field of</p>
+<p id="mrs_01_24035__p890604974810"><strong id="mrs_01_24035__b361585484910">hoodie.datasource.write.partitionpath.field</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_24035__row29061249194812"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.1.2.1.3.1.1 "><p id="mrs_01_24035__p69061949194810">hoodie.datasource.write.keygenerator.class</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.1.2.1.3.1.2 "><p id="mrs_01_24035__p15906144913487">(Optional) The default value is <strong id="mrs_01_24035__b9799261279458">org.apache.hudi.keygen.SimpleKeyGenerator</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_24035__row14906134917489"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.1.2.1.3.1.1 "><p id="mrs_01_24035__p690613492484">hoodie.datasource.hive_sync.partition_extractor_class</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.6.1.2.1.3.1.2 "><p id="mrs_01_24035__p18906164924817">Set this parameter to <strong id="mrs_01_24035__b161137113123">org.apache.hudi.hive.MultiPartKeysValueExtractor</strong>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+<ul id="mrs_01_24035__ul89340011110"><li id="mrs_01_24035__li4935150171112">Partitioning by date<p id="mrs_01_24035__p843713716710"><a name="mrs_01_24035__li4935150171112"></a><a name="li4935150171112"></a>The <strong id="mrs_01_24035__b41742994511">date</strong> field is specified as the partition field. Pay attention to the following configuration items:</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24035__table188991948175317" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_24035__row16899194835313"><th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.7.1.2.1.3.1.1"><p id="mrs_01_24035__p19899748125313">Configuration Item</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.7.1.2.1.3.1.2"><p id="mrs_01_24035__p15899194885315">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24035__row13899164815313"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.7.1.2.1.3.1.1 "><p id="mrs_01_24035__p589914489532">hoodie.datasource.write.partitionpath.field</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.7.1.2.1.3.1.2 "><p id="mrs_01_24035__p12899164813535">Set this parameter to the <strong id="mrs_01_24035__b5176122015121">date</strong> field, for example, <strong id="mrs_01_24035__b91762205122">operationTime</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_24035__row1089954812534"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.7.1.2.1.3.1.1 "><p id="mrs_01_24035__p989984818532">hoodie.datasource.hive_sync.partition_fields</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.7.1.2.1.3.1.2 "><p id="mrs_01_24035__p389918489535">Set this parameter to <strong id="mrs_01_24035__b12781214099458">operationTime</strong>. The value must be the same as the preceding partition field.</p>
+</td>
+</tr>
+<tr id="mrs_01_24035__row48991648145319"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.7.1.2.1.3.1.1 "><p id="mrs_01_24035__p789994855310">hoodie.datasource.write.keygenerator.class</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.7.1.2.1.3.1.2 "><p id="mrs_01_24035__p589934818534">(Optional) The default value is <strong id="mrs_01_24035__b25414819137">org.apache.hudi.keygen.SimpleKeyGenerator</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_24035__row10899148145311"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.7.1.2.1.3.1.1 "><p id="mrs_01_24035__p128993486536">hoodie.datasource.hive_sync.partition_extractor_class</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.7.1.2.1.3.1.2 "><p id="mrs_01_24035__p1189912487530">Set this parameter to <strong id="mrs_01_24035__b61623611311">org.apache.hudi.hive.SlashEncodedDayPartitionValueExtractor</strong>.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_24035__note12281558196"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_24035__p58341058181917">Date format for <strong id="mrs_01_24035__b1690891115214">SlashEncodedDayPartitionValueExtractor</strong> must be <em id="mrs_01_24035__i21501817175117">yyyy/mm/dd</em>.</p>
+</div></div>
+</li><li id="mrs_01_24035__li11456539125715">Partition sorting
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24035__table16367734145513" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_24035__row1436714341558"><th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.7.2.1.1.3.1.1"><p id="mrs_01_24035__p5367113435510">Configuration Item</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.7.2.1.1.3.1.2"><p id="mrs_01_24035__p8367134185515">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24035__row12367934145513"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.7.2.1.1.3.1.1 "><p id="mrs_01_24035__p18368134175519">hoodie.bulkinsert.user.defined.partitioner.class</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.7.2.1.1.3.1.2 "><p id="mrs_01_24035__p1368163419551">Specifies the partition sorting class. You can customize a sorting method. For details, see the sample code.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_24035__note10170618192018"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_24035__p1283113294310">By default, <strong id="mrs_01_24035__b1914518235427">bulk_insert</strong> sorts data by character and applies only to primary keys of StringType.</p>
+</div></div>
+</li></ul>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24034.html">Write</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24037.html b/docs/mrs/component-operation-guide/mrs_01_24037.html
new file mode 100644
index 000000000..bb1c77345
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+++ b/docs/mrs/component-operation-guide/mrs_01_24037.html
@@ -0,0 +1,95 @@
+<a name="mrs_01_24037"></a><a name="mrs_01_24037"></a>
+
+<h1 class="topictitle1">Read</h1>
+<div id="body0000001082071870"><p id="mrs_01_24037__p8060118">The read operation of Hudi applies to three views of Hudi. You can select a proper view for query based on requirements.</p>
+<p id="mrs_01_24037__p159699134611">Hudi supports multiple query engines, including Spark and Hive. For details, see <a href="#mrs_01_24037__table42155834714">Table 1</a> and <a href="#mrs_01_24037__table8194141519510">Table 2</a>.</p>
+
+<div class="tablenoborder"><a name="mrs_01_24037__table42155834714"></a><a name="table42155834714"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24037__table42155834714" frame="border" border="1" rules="all"><caption><b>Table 1 </b>COW tables</caption><thead align="left"><tr id="mrs_01_24037__row72145844713"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.2.4.1.1"><p id="mrs_01_24037__p72105804715">Query Engine</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.2.4.1.2"><p id="mrs_01_24037__p17215824712">Real-time View/Read-optimized View</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.3.2.4.1.3"><p id="mrs_01_24037__p16217587472">Incremental View</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24037__row52155816471"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_24037__p1324583475">Hive</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_24037__p5395834720">Y</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_24037__p6319589477">Y</p>
+</td>
+</tr>
+<tr id="mrs_01_24037__row23115810478"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_24037__p735580471">Spark (SparkSQL)</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_24037__p13313588478">Y</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_24037__p8375834720">Y</p>
+</td>
+</tr>
+<tr id="mrs_01_24037__row1757009145016"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.4.1.1 "><p id="mrs_01_24037__p1557020910503">Spark (SparkDataSource API)</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.4.1.2 "><p id="mrs_01_24037__p557014913500">Y</p>
+</td>
+<td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.3.2.4.1.3 "><p id="mrs_01_24037__p205704965015">Y</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+
+<div class="tablenoborder"><a name="mrs_01_24037__table8194141519510"></a><a name="table8194141519510"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24037__table8194141519510" frame="border" border="1" rules="all"><caption><b>Table 2 </b>MOR tables</caption><thead align="left"><tr id="mrs_01_24037__row2019431518513"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.4.2.5.1.1"><p id="mrs_01_24037__p619471515119">Query Engine</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.4.2.5.1.2"><p id="mrs_01_24037__p0194181517514">Real-time View</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.4.2.5.1.3"><p id="mrs_01_24037__p9194151545116">Incremental View</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.4.2.5.1.4"><p id="mrs_01_24037__p18194191595116">Read-optimized View</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24037__row9194115135110"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.1 "><p id="mrs_01_24037__p5194121519518">Hive</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.2 "><p id="mrs_01_24037__p1819431513512">Y</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.3 "><p id="mrs_01_24037__p14194715175110">Y</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.4 "><p id="mrs_01_24037__p419461545120">Y</p>
+</td>
+</tr>
+<tr id="mrs_01_24037__row4194101555118"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.1 "><p id="mrs_01_24037__p1419421525115">Spark (SparkSQL)</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.2 "><p id="mrs_01_24037__p51945151517">Y</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.3 "><p id="mrs_01_24037__p419419151515">Y</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.4 "><p id="mrs_01_24037__p18194101585117">Y</p>
+</td>
+</tr>
+<tr id="mrs_01_24037__row61947158516"><td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.1 "><p id="mrs_01_24037__p71941115145120">Spark (SparkDataSource API)</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.2 "><p id="mrs_01_24037__p1119481545117">Y</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.3 "><p id="mrs_01_24037__p10194181515517">Y</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.4 "><p id="mrs_01_24037__p81941415155115">Y</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="caution" id="mrs_01_24037__note9887111505217"><span class="cautiontitle"><img src="public_sys-resources/caution_3.0-en-us.png"> </span><div class="cautionbody"><ul id="mrs_01_24037__ul13576121955212"><li id="mrs_01_24037__li0577819145219">Currently, the partition deduction capability is not supported when Hudi uses the Spark DataSource API to read data. For example, when the DataSource API is used to query a bootstrap table, the partition field may not be displayed or may be displayed as null.</li><li id="mrs_01_24037__li16578151919526">For an incremental view, set <strong id="mrs_01_24037__b1483348029115521">hoodie.hudicow.consume.mode</strong> to <strong id="mrs_01_24037__b341154080115521">INCREMENTAL</strong>. This parameter applies only to queries on the incremental view and cannot be used for queries on other types of Hudi tables or queries on other tables. You can set <strong id="mrs_01_24037__b1379200793115521">hoodie.hudicow.consume.mode</strong> to <strong id="mrs_01_24037__b1111510204115521">SNAPSHOT</strong> or any value to restore the configuration.</li></ul>
+</div></div>
+</div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_24098.html">Reading COW Table Views</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24099.html">Reading MOR Table Views</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24062.html">Basic Operations</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24038.html b/docs/mrs/component-operation-guide/mrs_01_24038.html
new file mode 100644
index 000000000..15dc025d6
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24038.html
@@ -0,0 +1,27 @@
+<a name="mrs_01_24038"></a><a name="mrs_01_24038"></a>
+
+
+  <h1 class="topictitle1">Data Management and Maintenance</h1>
+
+  <div id="body0000001151168113"><p id="mrs_01_24038__p8060118"></p>
+</div>
+
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_24088.html">Clustering</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24089.html">Cleaning</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24090.html">Compaction</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24091.html">Savepoint</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24165.html">Single-Table Concurrent Write</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24062.html">Basic Operations</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24039.html b/docs/mrs/component-operation-guide/mrs_01_24039.html
new file mode 100644
index 000000000..ad3064cc0
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24039.html
@@ -0,0 +1,17 @@
+<a name="mrs_01_24039"></a><a name="mrs_01_24039"></a>
+
+<h1 class="topictitle1">Hudi Performance Tuning</h1>
+<div id="body0000001128829619"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_24101.html">Performance Tuning Methods</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24102.html">Recommended Resource Configuration</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24025.html">Using Hudi</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24046.html b/docs/mrs/component-operation-guide/mrs_01_24046.html
new file mode 100644
index 000000000..b2b652eb5
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24046.html
@@ -0,0 +1,638 @@
+<a name="mrs_01_24046"></a><a name="mrs_01_24046"></a>
+
+<h1 class="topictitle1">Operation Concurrent Execution</h1>
+<div id="body0000001088136004"><p id="mrs_01_24046__p8060118">Before performing <a href="mrs_01_1424.html">DDL</a> and <a href="mrs_01_1437.html">DML</a> operations, you need to obtain the corresponding locks. See <a href="#mrs_01_24046__table1548533815231">Table 1</a> for details about the locks that need to be obtained for each operation. The check mark (√) indicates that the lock is required. An operation can be performed only after all required locks are obtained.</p>
+<p id="mrs_01_24046__p179791031185217">You can check whether any two operations can be executed concurrently by using the following method: The first two lines in <a href="#mrs_01_24046__table1548533815231">Table 1</a> indicate two operations. If no column in the two lines is marked with the check mark (√), the two operations can be executed concurrently. That is, if the columns with check marks (√) in the two lines do not exist, the two operations can be executed concurrently.</p>
+
+<div class="tablenoborder"><a name="mrs_01_24046__table1548533815231"></a><a name="table1548533815231"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24046__table1548533815231" frame="border" border="1" rules="all"><caption><b>Table 1 </b>List of obtaining locks for operations</caption><thead align="left"><tr id="mrs_01_24046__row34851838112315"><th align="left" class="cellrowborder" valign="top" width="9.248150369926014%" id="mcps1.3.3.2.12.1.1"><p id="mrs_01_24046__p1485138112310">Operation</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="9.278144371125773%" id="mcps1.3.3.2.12.1.2"><p id="mrs_01_24046__p1485163817236">METADATA_LOCK</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="9.218156368726255%" id="mcps1.3.3.2.12.1.3"><p id="mrs_01_24046__p4485738112316">COMPACTION_LOCK</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="9.248150369926014%" id="mcps1.3.3.2.12.1.4"><p id="mrs_01_24046__p44852038182319">DROP_TABLE_LOCK</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="9.278144371125773%" id="mcps1.3.3.2.12.1.5"><p id="mrs_01_24046__p19485183822313">DELETE_SEGMENT_LOCK</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="9.218156368726255%" id="mcps1.3.3.2.12.1.6"><p id="mrs_01_24046__p0485173811233">CLEAN_FILES_LOCK</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="9.248150369926014%" id="mcps1.3.3.2.12.1.7"><p id="mrs_01_24046__p12485133892319">ALTER_PARTITION_LOCK</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="9.248150369926014%" id="mcps1.3.3.2.12.1.8"><p id="mrs_01_24046__p16485103817233">UPDATE_LOCK</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="9.248150369926014%" id="mcps1.3.3.2.12.1.9"><p id="mrs_01_24046__p1048583816233">STREAMING_LOCK</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="9.158168366326736%" id="mcps1.3.3.2.12.1.10"><p id="mrs_01_24046__p448583822314">CONCURRENT_LOAD_LOCK</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="7.608478304339132%" id="mcps1.3.3.2.12.1.11"><p id="mrs_01_24046__p1893115812367">SEGMENT_LOCK</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24046__row144852038112314"><td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.1 "><p id="mrs_01_24046__p19485173882314">CREATE TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.2 "><p id="mrs_01_24046__p1848583812235">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.3 "><p id="mrs_01_24046__p17485163817230">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.4 "><p id="mrs_01_24046__p164855381234">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.5 "><p id="mrs_01_24046__p174851438182313">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.6 "><p id="mrs_01_24046__p174851238132310">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.7 "><p id="mrs_01_24046__p114858384233">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.8 "><p id="mrs_01_24046__p17485153832314">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.9 "><p id="mrs_01_24046__p3485183814231">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.158168366326736%" headers="mcps1.3.3.2.12.1.10 "><p id="mrs_01_24046__p14485123872317">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.608478304339132%" headers="mcps1.3.3.2.12.1.11 "><p id="mrs_01_24046__p1939587364">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24046__row1348543810238"><td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.1 "><p id="mrs_01_24046__p348513388230">CREATE TABLE As SELECT</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.2 "><p id="mrs_01_24046__p1448533802313">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.3 "><p id="mrs_01_24046__p13485143892316">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.4 "><p id="mrs_01_24046__p3485038102312">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.5 "><p id="mrs_01_24046__p16485123815235">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.6 "><p id="mrs_01_24046__p1548563852319">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.7 "><p id="mrs_01_24046__p104851438172319">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.8 "><p id="mrs_01_24046__p64851338162316">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.9 "><p id="mrs_01_24046__p11485113892312">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.158168366326736%" headers="mcps1.3.3.2.12.1.10 "><p id="mrs_01_24046__p74859383232">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.608478304339132%" headers="mcps1.3.3.2.12.1.11 "><p id="mrs_01_24046__p19938581361">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24046__row14857383232"><td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.1 "><p id="mrs_01_24046__p5504143452520">DROP TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.2 "><p id="mrs_01_24046__p1648503882310">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.3 "><p id="mrs_01_24046__p3485153852319">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.4 "><p id="mrs_01_24046__p19485133812319">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.5 "><p id="mrs_01_24046__p12485153872310">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.6 "><p id="mrs_01_24046__p6486138122312">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.7 "><p id="mrs_01_24046__p748603852318">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.8 "><p id="mrs_01_24046__p174861338192319">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.9 "><p id="mrs_01_24046__p6486738152312">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.158168366326736%" headers="mcps1.3.3.2.12.1.10 "><p id="mrs_01_24046__p1486638122320">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.608478304339132%" headers="mcps1.3.3.2.12.1.11 "><p id="mrs_01_24046__p1393145873616">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24046__row44869380235"><td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.1 "><p id="mrs_01_24046__p1548643832312">ALTER TABLE COMPACTION</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.2 "><p id="mrs_01_24046__p194861538172318">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.3 "><p id="mrs_01_24046__p4486153882312">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.4 "><p id="mrs_01_24046__p1486123816231">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.5 "><p id="mrs_01_24046__p1348615381232">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.6 "><p id="mrs_01_24046__p174861638172316">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.7 "><p id="mrs_01_24046__p7486123842317">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.8 "><p id="mrs_01_24046__p448653810235">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.9 "><p id="mrs_01_24046__p5486103862315">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.158168366326736%" headers="mcps1.3.3.2.12.1.10 "><p id="mrs_01_24046__p16486133882314">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.608478304339132%" headers="mcps1.3.3.2.12.1.11 "><p id="mrs_01_24046__p2931358103618">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24046__row148643816233"><td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.1 "><p id="mrs_01_24046__p848643817235">TABLE RENAME</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.2 "><p id="mrs_01_24046__p848633815233">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.3 "><p id="mrs_01_24046__p948612382233">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.4 "><p id="mrs_01_24046__p3486103811236">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.5 "><p id="mrs_01_24046__p13486153813239">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.6 "><p id="mrs_01_24046__p148653832310">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.7 "><p id="mrs_01_24046__p3486183810238">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.8 "><p id="mrs_01_24046__p19486153862318">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.9 "><p id="mrs_01_24046__p348683818232">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.158168366326736%" headers="mcps1.3.3.2.12.1.10 "><p id="mrs_01_24046__p2048618380237">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.608478304339132%" headers="mcps1.3.3.2.12.1.11 "><p id="mrs_01_24046__p29318587368">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24046__row13486133816233"><td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.1 "><p id="mrs_01_24046__p7486113862313">ADD COLUMNS</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.2 "><p id="mrs_01_24046__p448653872315">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.3 "><p id="mrs_01_24046__p144869388234">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.4 "><p id="mrs_01_24046__p1121332161011">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.5 "><p id="mrs_01_24046__p12332171011">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.6 "><p id="mrs_01_24046__p172193216103">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.7 "><p id="mrs_01_24046__p112632131013">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.8 "><p id="mrs_01_24046__p113832111010">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.9 "><p id="mrs_01_24046__p14319323108">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.158168366326736%" headers="mcps1.3.3.2.12.1.10 "><p id="mrs_01_24046__p18323211106">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.608478304339132%" headers="mcps1.3.3.2.12.1.11 "><p id="mrs_01_24046__p7373213103">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24046__row348613862311"><td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.1 "><p id="mrs_01_24046__p44861384231">DROP COLUMNS</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.2 "><p id="mrs_01_24046__p5486203817239">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.3 "><p id="mrs_01_24046__p10486143810234">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.4 "><p id="mrs_01_24046__p420373318109">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.5 "><p id="mrs_01_24046__p92032338103">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.6 "><p id="mrs_01_24046__p15203123301017">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.7 "><p id="mrs_01_24046__p1220313339101">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.8 "><p id="mrs_01_24046__p6203113341010">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.9 "><p id="mrs_01_24046__p32031633181016">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.158168366326736%" headers="mcps1.3.3.2.12.1.10 "><p id="mrs_01_24046__p62032033171014">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.608478304339132%" headers="mcps1.3.3.2.12.1.11 "><p id="mrs_01_24046__p15203203318108">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24046__row124861138182316"><td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.1 "><p id="mrs_01_24046__p748614384235">CHANGE DATA TYPE</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.2 "><p id="mrs_01_24046__p194861838202315">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.3 "><p id="mrs_01_24046__p13486153842314">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.4 "><p id="mrs_01_24046__p44371534161016">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.5 "><p id="mrs_01_24046__p10437133417109">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.6 "><p id="mrs_01_24046__p64371734151015">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.7 "><p id="mrs_01_24046__p204371234181010">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.8 "><p id="mrs_01_24046__p19437634131020">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.9 "><p id="mrs_01_24046__p8437133410108">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.158168366326736%" headers="mcps1.3.3.2.12.1.10 "><p id="mrs_01_24046__p194372346107">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.608478304339132%" headers="mcps1.3.3.2.12.1.11 "><p id="mrs_01_24046__p14437113441015">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24046__row648643862310"><td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.1 "><p id="mrs_01_24046__p6486103882316">REFRESH TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.2 "><p id="mrs_01_24046__p115821238141012">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.3 "><p id="mrs_01_24046__p4582138171012">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.4 "><p id="mrs_01_24046__p15582438181014">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.5 "><p id="mrs_01_24046__p1958293841011">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.6 "><p id="mrs_01_24046__p65822038191020">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.7 "><p id="mrs_01_24046__p13582038171013">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.8 "><p id="mrs_01_24046__p1058203815102">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.9 "><p id="mrs_01_24046__p1758253811101">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.158168366326736%" headers="mcps1.3.3.2.12.1.10 "><p id="mrs_01_24046__p3582138121015">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.608478304339132%" headers="mcps1.3.3.2.12.1.11 "><p id="mrs_01_24046__p358263871011">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24046__row8486163832316"><td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.1 "><p id="mrs_01_24046__p134862038122311">REGISTER INDEX TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.2 "><p id="mrs_01_24046__p144861938162315">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.3 "><p id="mrs_01_24046__p154251142131016">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.4 "><p id="mrs_01_24046__p1342514426105">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.5 "><p id="mrs_01_24046__p1042584241017">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.6 "><p id="mrs_01_24046__p1142544231019">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.7 "><p id="mrs_01_24046__p13425104220105">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.8 "><p id="mrs_01_24046__p042511426107">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.9 "><p id="mrs_01_24046__p154251642131010">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.158168366326736%" headers="mcps1.3.3.2.12.1.10 "><p id="mrs_01_24046__p1742564219109">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.608478304339132%" headers="mcps1.3.3.2.12.1.11 "><p id="mrs_01_24046__p74251542111015">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24046__row1748663842318"><td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.1 "><p id="mrs_01_24046__p7486113817232">REFRESH INDEX</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.2 "><p id="mrs_01_24046__p648610386232">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.3 "><p id="mrs_01_24046__p10486438112313">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.4 "><p id="mrs_01_24046__p1813885118101">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.5 "><p id="mrs_01_24046__p121381651151019">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.6 "><p id="mrs_01_24046__p1138145119105">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.7 "><p id="mrs_01_24046__p2013820513102">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.8 "><p id="mrs_01_24046__p51381251191017">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.9 "><p id="mrs_01_24046__p713845161014">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.158168366326736%" headers="mcps1.3.3.2.12.1.10 "><p id="mrs_01_24046__p14138195119101">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.608478304339132%" headers="mcps1.3.3.2.12.1.11 "><p id="mrs_01_24046__p1313865114105">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24046__row94874387231"><td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.1 "><p id="mrs_01_24046__p44877381230">LOAD DATA/INSERT INTO</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.2 "><p id="mrs_01_24046__p201561857151013">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.3 "><p id="mrs_01_24046__p21571957181020">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.4 "><p id="mrs_01_24046__p161571657121015">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.5 "><p id="mrs_01_24046__p215745713105">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.6 "><p id="mrs_01_24046__p6157135719104">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.7 "><p id="mrs_01_24046__p121575576106">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.8 "><p id="mrs_01_24046__p015715719104">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.9 "><p id="mrs_01_24046__p615745781015">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.158168366326736%" headers="mcps1.3.3.2.12.1.10 "><p id="mrs_01_24046__p848773815234">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.608478304339132%" headers="mcps1.3.3.2.12.1.11 "><p id="mrs_01_24046__p8931758133616">√</p>
+</td>
+</tr>
+<tr id="mrs_01_24046__row74871438122312"><td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.1 "><p id="mrs_01_24046__p14487143813237">UPDATE CARBON TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.2 "><p id="mrs_01_24046__p1048743892310">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.3 "><p id="mrs_01_24046__p54871438192316">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.4 "><p id="mrs_01_24046__p89147919114">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.5 "><p id="mrs_01_24046__p691417918114">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.6 "><p id="mrs_01_24046__p89148919119">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.7 "><p id="mrs_01_24046__p09141898117">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.8 "><p id="mrs_01_24046__p164871138182311">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.9 "><p id="mrs_01_24046__p20155171414111">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.158168366326736%" headers="mcps1.3.3.2.12.1.10 "><p id="mrs_01_24046__p18155161451116">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.608478304339132%" headers="mcps1.3.3.2.12.1.11 "><p id="mrs_01_24046__p915517146119">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24046__row124871238152313"><td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.1 "><p id="mrs_01_24046__p15487193819232">DELETE RECORDS from CARBON TABLE</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.2 "><p id="mrs_01_24046__p24871438132319">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.3 "><p id="mrs_01_24046__p19487173892310">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.4 "><p id="mrs_01_24046__p06431410131110">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.5 "><p id="mrs_01_24046__p9643131015114">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.6 "><p id="mrs_01_24046__p964331061114">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.7 "><p id="mrs_01_24046__p116431810191114">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.8 "><p id="mrs_01_24046__p44874387238">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.9 "><p id="mrs_01_24046__p16814014101114">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.158168366326736%" headers="mcps1.3.3.2.12.1.10 "><p id="mrs_01_24046__p208141614111120">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.608478304339132%" headers="mcps1.3.3.2.12.1.11 "><p id="mrs_01_24046__p8814191431113">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24046__row1487038152313"><td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.1 "><p id="mrs_01_24046__p2487103822314">DELETE SEGMENT by ID</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.2 "><p id="mrs_01_24046__p16887101771114">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.3 "><p id="mrs_01_24046__p188878173118">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.4 "><p id="mrs_01_24046__p08871017151114">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.5 "><p id="mrs_01_24046__p17487103822311">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.6 "><p id="mrs_01_24046__p19487153882311">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.7 "><p id="mrs_01_24046__p088524010116">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.8 "><p id="mrs_01_24046__p2885340121116">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.9 "><p id="mrs_01_24046__p1088564013113">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.158168366326736%" headers="mcps1.3.3.2.12.1.10 "><p id="mrs_01_24046__p8885184071118">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.608478304339132%" headers="mcps1.3.3.2.12.1.11 "><p id="mrs_01_24046__p12885164014110">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24046__row9487123816237"><td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.1 "><p id="mrs_01_24046__p1487143822315">DELETE SEGMENT by DATE</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.2 "><p id="mrs_01_24046__p75911520201111">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.3 "><p id="mrs_01_24046__p11591122051111">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.4 "><p id="mrs_01_24046__p259282011113">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.5 "><p id="mrs_01_24046__p5487153822314">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.6 "><p id="mrs_01_24046__p153301924113014">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.7 "><p id="mrs_01_24046__p116512402117">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.8 "><p id="mrs_01_24046__p1865340101114">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.9 "><p id="mrs_01_24046__p76514017114">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.158168366326736%" headers="mcps1.3.3.2.12.1.10 "><p id="mrs_01_24046__p176584019115">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.608478304339132%" headers="mcps1.3.3.2.12.1.11 "><p id="mrs_01_24046__p1365124081112">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24046__row204878385230"><td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.1 "><p id="mrs_01_24046__p1148793813237">SHOW SEGMENTS</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.2 "><p id="mrs_01_24046__p1695343420117">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.3 "><p id="mrs_01_24046__p179537346119">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.4 "><p id="mrs_01_24046__p18953234121118">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.5 "><p id="mrs_01_24046__p595323421116">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.6 "><p id="mrs_01_24046__p1495363481120">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.7 "><p id="mrs_01_24046__p995320341111">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.8 "><p id="mrs_01_24046__p119531934101117">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.9 "><p id="mrs_01_24046__p139532034111119">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.158168366326736%" headers="mcps1.3.3.2.12.1.10 "><p id="mrs_01_24046__p395323401120">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.608478304339132%" headers="mcps1.3.3.2.12.1.11 "><p id="mrs_01_24046__p4953133451114">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24046__row548714387235"><td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.1 "><p id="mrs_01_24046__p6487138202319">CREATE SECONDARY INDEX</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.2 "><p id="mrs_01_24046__p448716383232">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.3 "><p id="mrs_01_24046__p18487238132312">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.4 "><p id="mrs_01_24046__p14871338132312">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.5 "><p id="mrs_01_24046__p134876385234">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.6 "><p id="mrs_01_24046__p108261945131113">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.7 "><p id="mrs_01_24046__p882614541118">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.8 "><p id="mrs_01_24046__p12826154541111">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.9 "><p id="mrs_01_24046__p18277459117">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.158168366326736%" headers="mcps1.3.3.2.12.1.10 "><p id="mrs_01_24046__p98271245201120">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.608478304339132%" headers="mcps1.3.3.2.12.1.11 "><p id="mrs_01_24046__p16827194510116">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24046__row1748723882315"><td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.1 "><p id="mrs_01_24046__p5487183818235">SHOW SECONDARY INDEXES</p>
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+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.2 "><p id="mrs_01_24046__p385703616115">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.3 "><p id="mrs_01_24046__p16857193620113">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.4 "><p id="mrs_01_24046__p185843611110">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.5 "><p id="mrs_01_24046__p585812367116">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.6 "><p id="mrs_01_24046__p7858153616112">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.7 "><p id="mrs_01_24046__p14858143661116">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.8 "><p id="mrs_01_24046__p6858436171117">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.9 "><p id="mrs_01_24046__p11858173618114">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.158168366326736%" headers="mcps1.3.3.2.12.1.10 "><p id="mrs_01_24046__p14858163671112">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.608478304339132%" headers="mcps1.3.3.2.12.1.11 "><p id="mrs_01_24046__p985843641116">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24046__row748813383239"><td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.1 "><p id="mrs_01_24046__p124881238112317">DROP SECONDARY INDEX</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.2 "><p id="mrs_01_24046__p10488203812238">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.3 "><p id="mrs_01_24046__p18488238192310">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.4 "><p id="mrs_01_24046__p1948810385238">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.5 "><p id="mrs_01_24046__p176202511120">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.6 "><p id="mrs_01_24046__p1262013510120">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.7 "><p id="mrs_01_24046__p16201513129">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.8 "><p id="mrs_01_24046__p162012591214">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.9 "><p id="mrs_01_24046__p662025101214">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.158168366326736%" headers="mcps1.3.3.2.12.1.10 "><p id="mrs_01_24046__p862011511211">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.608478304339132%" headers="mcps1.3.3.2.12.1.11 "><p id="mrs_01_24046__p46201555125">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24046__row3488173817233"><td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.1 "><p id="mrs_01_24046__p24885386239">CLEAN FILES</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.2 "><p id="mrs_01_24046__p1324591211217">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.3 "><p id="mrs_01_24046__p15245912101216">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.4 "><p id="mrs_01_24046__p1245111231219">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.5 "><p id="mrs_01_24046__p10246012161214">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.6 "><p id="mrs_01_24046__p1924661212126">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.7 "><p id="mrs_01_24046__p16246161211128">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.8 "><p id="mrs_01_24046__p112461212181210">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.9 "><p id="mrs_01_24046__p12468127122">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.158168366326736%" headers="mcps1.3.3.2.12.1.10 "><p id="mrs_01_24046__p172461612121217">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.608478304339132%" headers="mcps1.3.3.2.12.1.11 "><p id="mrs_01_24046__p5246191217123">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24046__row144881638122311"><td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.1 "><p id="mrs_01_24046__p1048818386234">SET/RESET</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.2 "><p id="mrs_01_24046__p46161310125">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.3 "><p id="mrs_01_24046__p16112132126">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.4 "><p id="mrs_01_24046__p1361101318128">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.5 "><p id="mrs_01_24046__p13611313191210">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.6 "><p id="mrs_01_24046__p16151351215">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.7 "><p id="mrs_01_24046__p562131371217">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.8 "><p id="mrs_01_24046__p1562121301214">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.9 "><p id="mrs_01_24046__p186281320123">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.158168366326736%" headers="mcps1.3.3.2.12.1.10 "><p id="mrs_01_24046__p962113131210">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.608478304339132%" headers="mcps1.3.3.2.12.1.11 "><p id="mrs_01_24046__p126241311217">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24046__row18488638122317"><td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.1 "><p id="mrs_01_24046__p1748843852317">Add Hive Partition</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.2 "><p id="mrs_01_24046__p97641213141211">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.3 "><p id="mrs_01_24046__p47642138128">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.4 "><p id="mrs_01_24046__p1976412136121">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.5 "><p id="mrs_01_24046__p57648132128">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.6 "><p id="mrs_01_24046__p18764191311215">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.7 "><p id="mrs_01_24046__p37641813121214">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.8 "><p id="mrs_01_24046__p17764913161212">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.9 "><p id="mrs_01_24046__p13765161314125">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.158168366326736%" headers="mcps1.3.3.2.12.1.10 "><p id="mrs_01_24046__p5765151341214">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.608478304339132%" headers="mcps1.3.3.2.12.1.11 "><p id="mrs_01_24046__p107658131124">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24046__row5488193819239"><td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.1 "><p id="mrs_01_24046__p4488133842315">Drop Hive Partition</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.2 "><p id="mrs_01_24046__p74881938132312">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.3 "><p id="mrs_01_24046__p184885384232">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.4 "><p id="mrs_01_24046__p1348833812233">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.5 "><p id="mrs_01_24046__p104886385237">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.6 "><p id="mrs_01_24046__p9488113852313">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.7 "><p id="mrs_01_24046__p94889385237">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.8 "><p id="mrs_01_24046__p11909438101213">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.9 "><p id="mrs_01_24046__p18909143810128">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.158168366326736%" headers="mcps1.3.3.2.12.1.10 "><p id="mrs_01_24046__p18909113831215">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.608478304339132%" headers="mcps1.3.3.2.12.1.11 "><p id="mrs_01_24046__p1909103816128">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24046__row144881738142314"><td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.1 "><p id="mrs_01_24046__p13488173862316">Drop Partition</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.2 "><p id="mrs_01_24046__p548833812316">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.3 "><p id="mrs_01_24046__p2488238202314">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.4 "><p id="mrs_01_24046__p948853882317">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.5 "><p id="mrs_01_24046__p1748803812318">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.6 "><p id="mrs_01_24046__p8488838162316">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.7 "><p id="mrs_01_24046__p1748823842314">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.8 "><p id="mrs_01_24046__p135044011216">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.9 "><p id="mrs_01_24046__p1450194014128">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.158168366326736%" headers="mcps1.3.3.2.12.1.10 "><p id="mrs_01_24046__p1850340161212">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.608478304339132%" headers="mcps1.3.3.2.12.1.11 "><p id="mrs_01_24046__p850194011126">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24046__row748823872314"><td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.1 "><p id="mrs_01_24046__p84885381238">Alter table set</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.2 "><p id="mrs_01_24046__p948813812231">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.3 "><p id="mrs_01_24046__p1548816381231">√</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.4 "><p id="mrs_01_24046__p116171245181216">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.278144371125773%" headers="mcps1.3.3.2.12.1.5 "><p id="mrs_01_24046__p146171645141217">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.218156368726255%" headers="mcps1.3.3.2.12.1.6 "><p id="mrs_01_24046__p1961784514129">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.7 "><p id="mrs_01_24046__p1617104512122">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.8 "><p id="mrs_01_24046__p5617245121217">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.248150369926014%" headers="mcps1.3.3.2.12.1.9 "><p id="mrs_01_24046__p17617124561217">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="9.158168366326736%" headers="mcps1.3.3.2.12.1.10 "><p id="mrs_01_24046__p2618174541212">-</p>
+</td>
+<td class="cellrowborder" valign="top" width="7.608478304339132%" headers="mcps1.3.3.2.12.1.11 "><p id="mrs_01_24046__p1618345151214">-</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1423.html">CarbonData Syntax Reference</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_24047"></a><a name="mrs_01_24047"></a>
+
+<h1 class="topictitle1">FlinkServer Permissions Management</h1>
+<div id="body0000001082998040"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_24048.html">Overview</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24049.html">Authentication Based on Users and Roles</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24014.html">Using the Flink Web UI</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24048.html b/docs/mrs/component-operation-guide/mrs_01_24048.html
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+<a name="mrs_01_24048"></a><a name="mrs_01_24048"></a>
+
+<h1 class="topictitle1">Overview</h1>
+<div id="body0000001082678458"><p id="mrs_01_24048__p95148531498">User <strong id="mrs_01_24048__b138951851112610">admin</strong> of Manager does not have the FlinkServer service operation permission. To perform FlinkServer service operations, you need to grant related permission to the user.</p>
+<p id="mrs_01_24048__p8060118">Applications (tenants) in FlinkServer are the maximum management scope, including cluster connection management, data connection management, application management, stream table management, and job management.</p>
+<p id="mrs_01_24048__p2011412268405">There are three types of resource permissions for FlinkServer, as shown in <a href="#mrs_01_24048__table663518214115">Table 1</a>.</p>
+
+<div class="tablenoborder"><a name="mrs_01_24048__table663518214115"></a><a name="table663518214115"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24048__table663518214115" frame="border" border="1" rules="all"><caption><b>Table 1 </b>FlinkServer resource permissions</caption><thead align="left"><tr id="mrs_01_24048__row2636142164114"><th align="left" class="cellrowborder" valign="top" width="16.63166316631663%" id="mcps1.3.4.2.4.1.1"><p id="mrs_01_24048__p1363682114116">Name</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="45.72457245724572%" id="mcps1.3.4.2.4.1.2"><p id="mrs_01_24048__p863618204117">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="37.643764376437645%" id="mcps1.3.4.2.4.1.3"><p id="mrs_01_24048__p2636122184111">Remarks</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24048__row106369213413"><td class="cellrowborder" valign="top" width="16.63166316631663%" headers="mcps1.3.4.2.4.1.1 "><p id="mrs_01_24048__p146363212411">FlinkServer administrator permission</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.72457245724572%" headers="mcps1.3.4.2.4.1.2 "><p id="mrs_01_24048__p96361225412">Users who have the permission can edit and view all applications.</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.643764376437645%" headers="mcps1.3.4.2.4.1.3 "><p id="mrs_01_24048__p86366220414">This is the highest-level permission of FlinkServer. If you have the FlinkServer administrator permission, you have the permission on all applications by default.</p>
+</td>
+</tr>
+<tr id="mrs_01_24048__row8636026413"><td class="cellrowborder" valign="top" width="16.63166316631663%" headers="mcps1.3.4.2.4.1.1 "><p id="mrs_01_24048__p1063620218412">Application edit permission</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.72457245724572%" headers="mcps1.3.4.2.4.1.2 "><p id="mrs_01_24048__p863618220411">Users who have the permission can create, edit, and delete cluster connections and data connections. They can also create stream tables as well as create and run jobs.</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.643764376437645%" headers="mcps1.3.4.2.4.1.3 "><p id="mrs_01_24048__p1463611218419">In addition, users who have the permission can view current applications.</p>
+</td>
+</tr>
+<tr id="mrs_01_24048__row1863617216416"><td class="cellrowborder" valign="top" width="16.63166316631663%" headers="mcps1.3.4.2.4.1.1 "><p id="mrs_01_24048__p16365213416">Application view permission</p>
+</td>
+<td class="cellrowborder" valign="top" width="45.72457245724572%" headers="mcps1.3.4.2.4.1.2 "><p id="mrs_01_24048__p116367264117">Users who have the permission can view applications.</p>
+</td>
+<td class="cellrowborder" valign="top" width="37.643764376437645%" headers="mcps1.3.4.2.4.1.3 "><p id="mrs_01_24048__p10636225417">-</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24047.html">FlinkServer Permissions Management</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24049.html b/docs/mrs/component-operation-guide/mrs_01_24049.html
new file mode 100644
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+<a name="mrs_01_24049"></a><a name="mrs_01_24049"></a>
+
+<h1 class="topictitle1">Authentication Based on Users and Roles</h1>
+<div id="body0000001083029956"><p id="mrs_01_24049__en-us_topic_0122504793_p757715484910">This section describes how to create and configure a FlinkServer role on Manager as the system administrator. A FlinkServer role can be configured with FlinkServer administrator permission and the permissions to edit and view applications.</p>
+<p id="mrs_01_24049__a711c2c6ff7394702a4c7c089ac719944">You need to set permissions for the specified user in FlinkServer so that they can update, query, and delete data.</p>
+<div class="section" id="mrs_01_24049__s6bd890046cf14e0684de417e9b5d36b1"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_24049__a0183c23c01c949b79e55c89c19e5ac32">The system administrator has planned permissions based on business needs.</p>
+</div>
+<div class="section" id="mrs_01_24049__section54992364369"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_24049__ol1612217206368"><li id="mrs_01_24049__lbcf34a2567204e5f9cfaafd98824086a"><span>Log in to Manager.</span></li><li id="mrs_01_24049__l9ec18f5466354b1c84b6b9fb12af0f57"><span>Choose <strong id="mrs_01_24049__b131776432272149">System</strong> &gt; <strong id="mrs_01_24049__b36158200972149">Permission</strong> &gt; <strong id="mrs_01_24049__b29497557472149">Role</strong>.</span></li><li id="mrs_01_24049__l1cdcf7bd57d2406b8295552df0d8f3fb"><span>On the displayed page, click <strong id="mrs_01_24049__b89343078672149">Create Role</strong> and specify <strong id="mrs_01_24049__b178364120172149">Role Name</strong> and <strong id="mrs_01_24049__b93544152072149">Description</strong>.</span></li><li id="mrs_01_24049__lf95aed3efa3a44c4a3b6a2037ab3554b"><span>Set <strong id="mrs_01_24049__b213207532672149">Configure Resource Permission</strong>.</span><p><p id="mrs_01_24049__ae2b4ace1189a4473a2edf2d73f7ecfcf">FlinkServer permissions are as follows:</p>
+<ul id="mrs_01_24049__ul797316065211"><li id="mrs_01_24049__li59731055216"><strong id="mrs_01_24049__b1471813247142">FlinkServer Admin Privilege</strong>: highest-level permission. Users with the permission can perform service operations on all FlinkServer applications.</li><li id="mrs_01_24049__li109735085218"><strong id="mrs_01_24049__b521544010141">FlinkServer Application</strong>: Users can set <strong id="mrs_01_24049__b68171971912">application view</strong> and <strong id="mrs_01_24049__b186511822101919">applications management</strong> permissions on applications.</li></ul>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24049__t021e1138940940faa86b343f878f9e72" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Setting a role</caption><thead align="left"><tr id="mrs_01_24049__r12aa28ed112e4703901e05b3af65e9d1"><th align="left" class="cellrowborder" valign="top" width="32.550000000000004%" id="mcps1.3.4.2.4.2.3.2.3.1.1"><p id="mrs_01_24049__afea22464cbea4d0bbc8fc242390ad172">Scenario</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="67.45%" id="mcps1.3.4.2.4.2.3.2.3.1.2"><p id="mrs_01_24049__aeb303e6092bc435da520ee237d704fbd"><strong id="mrs_01_24049__b44919364272149">Role Authorization</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24049__r0524a074766e4e2b976ee29a78439139"><td class="cellrowborder" valign="top" width="32.550000000000004%" headers="mcps1.3.4.2.4.2.3.2.3.1.1 "><p id="mrs_01_24049__a4d631284968944b686f3f7cea1b7d44f">Setting the administrator operation permission</p>
+</td>
+<td class="cellrowborder" valign="top" width="67.45%" headers="mcps1.3.4.2.4.2.3.2.3.1.2 "><p id="mrs_01_24049__en-us_topic_0122504793_p141831314566">In <strong id="mrs_01_24049__b18313141612579">Configure Resource Permission</strong>, choose <em id="mrs_01_24049__i193247163576">Name of the desired cluster</em> &gt; <strong id="mrs_01_24049__b15324141613578">Flink</strong> and select <strong id="mrs_01_24049__b1232511655716">FlinkServer Admin Privilege</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_24049__rbfda45ce6e5447909d876cdd54354234"><td class="cellrowborder" valign="top" width="32.550000000000004%" headers="mcps1.3.4.2.4.2.3.2.3.1.1 "><p id="mrs_01_24049__en-us_topic_0122504793_p179532106563">Setting a specified permission on applications</p>
+</td>
+<td class="cellrowborder" valign="top" width="67.45%" headers="mcps1.3.4.2.4.2.3.2.3.1.2 "><ol type="a" id="mrs_01_24049__o26360c4588274688b3822dae8932c59e"><li id="mrs_01_24049__l90d34974190a4510833aa471205528ef">In the <strong id="mrs_01_24049__b185676115172149">Configure Resource Permission</strong> table, choose <em id="mrs_01_24049__i179952167672149">Name of the desired cluster</em> &gt; <strong id="mrs_01_24049__b29853969272149">Flink</strong> &gt; <strong id="mrs_01_24049__b178022130172149">FlinkServer Application</strong>.</li><li id="mrs_01_24049__la6b510a84fc94de6b942af3e16d394e7">In the <strong id="mrs_01_24049__b9321034171610">Permission</strong> column, select <strong id="mrs_01_24049__b1379950181619">application view</strong> or <strong id="mrs_01_24049__b17537913181718">applications management</strong>.</li></ol>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_24049__l979a717f376c4ea6990d9e6534d00895"><span>Click <strong id="mrs_01_24049__b8682921272149">OK</strong>. Return to role management page.</span><p><div class="note" id="mrs_01_24049__note264083116421"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_24049__p538616673918">After the FlinkServer role is created, create a FlinkServer user and bind the user to the role and user group. For details, see <span id="mrs_01_24049__ph1294413550112"><a href="https://docs.otc.t-systems.com/usermanual/mrs/admin_guide_000137.html" target="_blank" rel="noopener noreferrer">Creating a User</a></span>.</p>
+</div></div>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24047.html">FlinkServer Permissions Management</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24051.html b/docs/mrs/component-operation-guide/mrs_01_24051.html
new file mode 100644
index 000000000..075492f52
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@@ -0,0 +1,16 @@
+<a name="mrs_01_24051"></a><a name="mrs_01_24051"></a>
+
+<h1 class="topictitle1">Why Do Reduce Tasks Fail to Run in Some OSs After the Native Task Feature is Enabled?</h1>
+<div id="body0000001137918979"><div class="section" id="mrs_01_24051__se3728c8fc4dc45509719164ffde19fbb"><h4 class="sectiontitle">Question</h4><p id="mrs_01_24051__a7d268a1ef60e421b81931cf2b1b6bb85">After the Native Task feature is enabled, Reduce tasks fail to run in some OSs.</p>
+</div>
+<div class="section" id="mrs_01_24051__section17158192110177"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_24051__a9791cab599fb4343aad1e5aec346bfd3">When <strong id="mrs_01_24051__b76182044144810">-Dmapreduce.job.map.output.collector.class=org.apache.hadoop.mapred.nativetask.NativeMapOutputCollectorDelegator</strong> is executed to enable the Native Task feature during the running of MapReduce tasks that contain Reduce tasks, the tasks fail to run in some OSs, and the error message "version 'GLIBCXX_3.4.20' not found" is displayed in logs. The cause is that the GLIBCXX version of the OSs is too early. As a result, the libnativetask.so.1.0.0 library on which the feature depends cannot be loaded, leading to task failures.</p>
+<p id="mrs_01_24051__aa5d2cde0ff9644a6a2f74de56527aff3">Workaround:</p>
+<p id="mrs_01_24051__a122a2b5fb9e940a89b3dd9d5eb9ef722">Set <strong id="mrs_01_24051__b1651411194536">mapreduce.job.map.output.collector.class</strong> to <strong id="mrs_01_24051__b19470524145315">org.apache.hadoop.mapred.MapTask$MapOutputBuffer</strong>.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2077.html">Common Issues About Yarn</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24057.html b/docs/mrs/component-operation-guide/mrs_01_24057.html
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+<a name="mrs_01_24057"></a><a name="mrs_01_24057"></a>
+
+<h1 class="topictitle1">ClickHouse User and Permission Management</h1>
+<div id="body0000001092446216"><div class="section" id="mrs_01_24057__section134732263412"><h4 class="sectiontitle">User Permission Model</h4><p id="mrs_01_24057__p216051015420">ClickHouse user permission management enables unified management of users, roles, and permissions on each ClickHouse instance in the cluster. You can use the permission management module of the Manager UI to create users, create roles, and bind the ClickHouse access permissions. User permissions are controlled by binding roles to users.</p>
+<p id="mrs_01_24057__p10125016105719">Resource management: <a href="#mrs_01_24057__table858112220269">Table 1</a> lists the resources supported by ClickHouse permission management.</p>
+<p id="mrs_01_24057__p19132151719578">Resource permissions: <a href="#mrs_01_24057__table20282143414276">Table 2</a> lists the resource permissions supported by ClickHouse.</p>
+
+<div class="tablenoborder"><a name="mrs_01_24057__table858112220269"></a><a name="table858112220269"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24057__table858112220269" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Permission management objects supported by ClickHouse</caption><thead align="left"><tr id="mrs_01_24057__row1060410213269"><th align="left" class="cellrowborder" valign="top" width="37.46%" id="mcps1.3.1.5.2.4.1.1"><p id="mrs_01_24057__p196049210264">Resource</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="21.43%" id="mcps1.3.1.5.2.4.1.2"><p id="mrs_01_24057__p146041321262">Integration</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="41.11%" id="mcps1.3.1.5.2.4.1.3"><p id="mrs_01_24057__p76048219260">Remarks</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24057__row360442182620"><td class="cellrowborder" valign="top" width="37.46%" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_24057__p46043210263">Database</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.43%" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_24057__p1260572102615">Yes (level 1)</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.11%" headers="mcps1.3.1.5.2.4.1.3 "><p id="mrs_01_24057__p76051429264">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24057__row960517272615"><td class="cellrowborder" valign="top" width="37.46%" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_24057__p12605129262">Table</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.43%" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_24057__p1160518232618">Yes (level 2)</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.11%" headers="mcps1.3.1.5.2.4.1.3 "><p id="mrs_01_24057__p3605622268">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24057__row1560522192619"><td class="cellrowborder" valign="top" width="37.46%" headers="mcps1.3.1.5.2.4.1.1 "><p id="mrs_01_24057__p060552172610">View</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.43%" headers="mcps1.3.1.5.2.4.1.2 "><p id="mrs_01_24057__p136051324265">Yes (level 2)</p>
+</td>
+<td class="cellrowborder" valign="top" width="41.11%" headers="mcps1.3.1.5.2.4.1.3 "><p id="mrs_01_24057__p1560515215269">Same as tables</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+
+<div class="tablenoborder"><a name="mrs_01_24057__table20282143414276"></a><a name="table20282143414276"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24057__table20282143414276" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Resource permission list</caption><thead align="left"><tr id="mrs_01_24057__row17301183412273"><th align="left" class="cellrowborder" valign="top" width="33.46%" id="mcps1.3.1.6.2.4.1.1"><p id="mrs_01_24057__p1430123413278">Resource</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="21.54%" id="mcps1.3.1.6.2.4.1.2"><p id="mrs_01_24057__p13011334142715">Available Permission</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="45%" id="mcps1.3.1.6.2.4.1.3"><p id="mrs_01_24057__p1807122544019">Remarks</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24057__row030119340272"><td class="cellrowborder" valign="top" width="33.46%" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_24057__p103011234192713">Database</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.54%" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_24057__p23011934102712">CREATE</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.1.6.2.4.1.3 "><p id="mrs_01_24057__p12807225114014">CREATE DATABASE/TABLE/VIEW/DICTIONARY</p>
+</td>
+</tr>
+<tr id="mrs_01_24057__row730113422719"><td class="cellrowborder" valign="top" width="33.46%" headers="mcps1.3.1.6.2.4.1.1 "><p id="mrs_01_24057__p14301143416278">Table/View</p>
+</td>
+<td class="cellrowborder" valign="top" width="21.54%" headers="mcps1.3.1.6.2.4.1.2 "><p id="mrs_01_24057__p143016346273">SELECT/INSERT</p>
+</td>
+<td class="cellrowborder" valign="top" width="45%" headers="mcps1.3.1.6.2.4.1.3 "><p id="mrs_01_24057__p1780719254404">-</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_24057__section119238134364"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_24057__ul16883222104420"><li id="mrs_01_24057__li388314220447">The ClickHouse and Zookeeper services are running properly.</li><li id="mrs_01_24057__li1131475912441">When creating a database or table in the cluster, the <strong id="mrs_01_24057__b2694330192214">ON CLUSTER</strong> statement is used to ensure that the metadata of the database and table on each ClickHouse node is the same.</li></ul>
+<div class="note" id="mrs_01_24057__note114185971811"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_24057__p3141659181817">After the permission is granted, it takes about 1 minute for the permission to take effect.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_24057__section1688472043712"><a name="mrs_01_24057__section1688472043712"></a><a name="section1688472043712"></a><h4 class="sectiontitle">Adding the ClickHouse Role</h4><ol id="mrs_01_24057__ol163115417381"><li id="mrs_01_24057__li1963114410388"><span>Log in to Manager and choose <strong id="mrs_01_24057__b0904132611249">System</strong> &gt; <strong id="mrs_01_24057__b6911132914247">Permission</strong> &gt; <strong id="mrs_01_24057__b1967163182419">Role</strong>. On the <strong id="mrs_01_24057__b11656125732415">Role</strong> page, click <strong id="mrs_01_24057__b235460132514">Create Role</strong>.</span><p><p id="mrs_01_24057__p125875209168"></p>
+</p></li><li id="mrs_01_24057__li073130203811"><span>On the <strong id="mrs_01_24057__b1622717582352">Create Role</strong> page, specify <strong id="mrs_01_24057__b228184915309">Role Name</strong>. In the <strong id="mrs_01_24057__b1654910319311">Configure Resource Permission</strong> area, click the cluster name. On the service list page that is displayed, click the ClickHouse service.</span><p><p id="mrs_01_24057__p255918109487">Determine whether to create a role with ClickHouse administrator permission based on service requirements.</p>
+<div class="note" id="mrs_01_24057__note09689489455"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_24057__ul148491335135213"><li id="mrs_01_24057__li11849113514524">The ClickHouse administrator has all the database operation permissions except the permissions to create, delete, and modify users and roles.</li><li id="mrs_01_24057__li107053378527">Only the built-in user <strong id="mrs_01_24057__b168893414204">clickhouse</strong> of ClickHouse has the permission to manage users and roles.</li></ul>
+</div></div>
+<ul id="mrs_01_24057__ul12348142734020"><li id="mrs_01_24057__li3349122724013">If yes, go to <a href="#mrs_01_24057__li9365913184120">3</a>.</li><li id="mrs_01_24057__li18910534409">If no, go to <a href="#mrs_01_24057__li13347154819413">4</a>.</li></ul>
+<p id="mrs_01_24057__p10653161052014"></p>
+</p></li><li id="mrs_01_24057__li9365913184120"><a name="mrs_01_24057__li9365913184120"></a><a name="li9365913184120"></a><span>Select <strong id="mrs_01_24057__b1369124116119">SUPER_USER_GROUP</strong> and click <strong id="mrs_01_24057__b470114121112">OK</strong>.</span></li><li id="mrs_01_24057__li13347154819413"><a name="mrs_01_24057__li13347154819413"></a><a name="li13347154819413"></a><span>Click <strong id="mrs_01_24057__b1965637203418">ClickHouse Scope</strong>. The ClickHouse database resource list is displayed. If you select <strong id="mrs_01_24057__b1530214662012">create</strong>, the role has the create permission on the database.</span><p><p id="mrs_01_24057__p1760715711237"></p>
+<p id="mrs_01_24057__p153609519343">Determine whether to grant the permission based on the service requirements.</p>
+<ul id="mrs_01_24057__ul9541114164214"><li id="mrs_01_24057__li154234184210">If yes, click <strong id="mrs_01_24057__b63441558163412">OK</strong>.</li><li id="mrs_01_24057__li19542144144219">If no, go to <a href="#mrs_01_24057__li17964516204412">5</a>.</li></ul>
+</p></li><li id="mrs_01_24057__li17964516204412"><a name="mrs_01_24057__li17964516204412"></a><a name="li17964516204412"></a><span>Click the resource name and select the <em id="mrs_01_24057__i1819041102415">Database resource name to be operated</em>. On the displayed page, select <strong id="mrs_01_24057__b1577042713223">READ</strong> (SELECT permission) or <strong id="mrs_01_24057__b16961174116227">WRITE</strong> (INSERT permission) based on service requirements, and click <strong id="mrs_01_24057__b1448311514223">OK</strong>.</span><p><p id="mrs_01_24057__p1861105293715"></p>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_24057__section6798124218430"><h4 class="sectiontitle">Adding a User and Binding the ClickHouse Role to the User</h4><ol id="mrs_01_24057__ol1383271918547"><li id="mrs_01_24057__li1183214191540"><a name="mrs_01_24057__li1183214191540"></a><a name="li1183214191540"></a><span>Log in to Manager and choose <strong id="mrs_01_24057__b15838115104815">System</strong> &gt; <strong id="mrs_01_24057__b15849851484">Permission</strong> &gt; <strong id="mrs_01_24057__b985417574817">User</strong> and click <strong id="mrs_01_24057__b1986418518484">Create</strong>.</span></li><li id="mrs_01_24057__li0521154115455"><span>Select <strong id="mrs_01_24057__b6581153133212">Human-Machine</strong> for<strong id="mrs_01_24057__b367114123314"> User Type</strong> and set <strong id="mrs_01_24057__b250492711331">Password</strong> and <strong id="mrs_01_24057__b16182136193317">Confirm Password</strong> to the password of the user.</span><p><div class="note" id="mrs_01_24057__note1454394019318"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_24057__ul9156135863113"><li id="mrs_01_24057__li615715818314">Username: The username cannot contain hyphens (-). Otherwise, the authentication will fail.</li><li id="mrs_01_24057__li7693437163212">Password: The password cannot contain special characters $, ., and #. Otherwise, the authentication will fail.</li></ul>
+</div></div>
+</p></li><li id="mrs_01_24057__li766510438542"><span>In the <strong id="mrs_01_24057__b9294172720127">Role </strong>area, click <strong id="mrs_01_24057__b930162711129">Add</strong>. In the displayed dialog box, select a role with the ClickHouse permission and click <strong id="mrs_01_24057__b4301152701213">OK </strong>to add the role. Then, click <strong id="mrs_01_24057__b130216279127">OK</strong>.</span><p><p id="mrs_01_24057__p17868564419"></p>
+</p></li><li id="mrs_01_24057__li13381199142"><span>Log in to the node where the ClickHouse client is installed and use the new username and password to connect to the ClickHouse service.</span><p><ul id="mrs_01_24057__ul153882054111619"><li id="mrs_01_24057__li23884541169">Run the following command to go to the client installation directory:<p id="mrs_01_24057__p1391573401519"><a name="mrs_01_24057__li23884541169"></a><a name="li23884541169"></a><strong id="mrs_01_24057__b16279617172517">cd /opt/</strong><em id="mrs_01_24057__i2279417132512">Client installation directory</em></p>
+</li><li id="mrs_01_24057__li1366263191718">Run the following command to configure environment variables:<p id="mrs_01_24057__p14915123415151"><a name="mrs_01_24057__li1366263191718"></a><a name="li1366263191718"></a><strong id="mrs_01_24057__b20915203414157">source bigdata_env</strong></p>
+</li><li id="mrs_01_24057__li1910333418475">If Kerberos authentication is enabled for the current cluster, run the following command to authenticate the current user. The user must have the permission to create ClickHouse tables. Therefore, you need to bind the corresponding role to the user. For details, see <a href="#mrs_01_24057__section1688472043712">Adding the ClickHouse Role</a>. If Kerberos authentication is disabled for the current cluster, skip this step.<ol type="a" id="mrs_01_24057__ol1866012514315"><li id="mrs_01_24057__li176608516311">Run the following command if it is an MRS 3.1.0 cluster:<p id="mrs_01_24057__p7682548193118"><a name="mrs_01_24057__li176608516311"></a><a name="li176608516311"></a><strong id="mrs_01_24057__b1021434712315">export  CLICKHOUSE_SECURITY_ENABLED=true</strong></p>
+</li><li id="mrs_01_24057__li68271257135"><strong id="mrs_01_24057__b06271142235">kinit </strong><em id="mrs_01_24057__i543618575313">User added in <a href="#mrs_01_24057__li1183214191540">1</a></em></li></ol>
+</li><li id="mrs_01_24057__li183951616173115">Log in to the system as the new user.<p id="mrs_01_24057__p5404121783111"><a name="mrs_01_24057__li183951616173115"></a><a name="li183951616173115"></a><strong id="mrs_01_24057__b4725135816347">Cluster with Kerberos authentication disabled:</strong></p>
+<p id="mrs_01_24057__p1456165281811"><strong id="mrs_01_24057__b725033842114">clickhouse client --host </strong><em id="mrs_01_24057__i17584103812118">IP address of the ClickHouse instance</em><strong id="mrs_01_24057__b1588111192014"> --multiline </strong><strong id="mrs_01_24057__b346184420125">--port </strong><em id="mrs_01_24057__i246104471216">ClickHouse port number</em> <strong id="mrs_01_24057__b7756175095920">--secure</strong></p>
+<p id="mrs_01_24057__p7564321193213"><strong id="mrs_01_24057__b9549125112713">Cluster with Kerberos authentication disabled:</strong></p>
+<p id="mrs_01_24057__p1470624819335"><strong id="mrs_01_24057__b454321274717">clickhouse client --host </strong><em id="mrs_01_24057__i1155441214471">IP address of the ClickHouse instance</em><strong id="mrs_01_24057__b155415124475">--user </strong><em id="mrs_01_24057__i1755441219473">Username</em><strong id="mrs_01_24057__b18555101220475"> --password</strong><strong id="mrs_01_24057__b2555112154716"> --port </strong>9440 <strong id="mrs_01_24057__b1955741264715">--secure</strong></p>
+<p id="mrs_01_24057__p433157193319"><em id="mrs_01_24057__i10174132115479">Enter the user password.</em></p>
+<div class="note" id="mrs_01_24057__note1723453953613"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_24057__p1823511398363">The user in normal mode is the default user, or you can create an administrator using the open source capability provided by the ClickHouse community. You cannot use the users created on FusionInsight Manager.</p>
+</div></div>
+</li></ul>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_24057__section5311427122717"><h4 class="sectiontitle">Granting Permissions Using the Client in Abnormal Scenarios</h4><p id="mrs_01_24057__p923242412283">By default, the table metadata on each node of the ClickHouse cluster is the same. Therefore, the table information on a random ClickHouse node is collected on the permission management page of Manager. If the <strong id="mrs_01_24057__b85201416192515">ON CLUSTER</strong> statement is not used when databases or tables are created on some nodes, the resource may fail to be displayed during permission management, and permissions may not be granted to the resource. To grant permissions on the local table on a single ClickHouse node, perform the following steps on the background client.</p>
+<div class="note" id="mrs_01_24057__note13821183423719"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_24057__p10822123483714">The following operations are performed based on the obtained roles, database or table names, and IP addresses of the node where the corresponding ClickHouseServer instance is located.</p>
+<ul id="mrs_01_24057__ul6663103194414"><li id="mrs_01_24057__li7663143117447">You can log in to FusionInsight Manager and choose <strong id="mrs_01_24057__b57482463454">Cluster</strong> &gt; <strong id="mrs_01_24057__b19749646114512">Services</strong> &gt; <strong id="mrs_01_24057__b15749346134516">ClickHouse</strong> &gt; <strong id="mrs_01_24057__b147498466457">Instance</strong> to obtain the service IP address of the ClickHouseServer instance.</li><li id="mrs_01_24057__li7131103318447">The default system domain name is <strong id="mrs_01_24057__b134361946151311">hadoop.com</strong>. Log in to FusionInsight Manager and choose <strong id="mrs_01_24057__b058312588467">System</strong> &gt; <strong id="mrs_01_24057__b1058425874616">Permission</strong> &gt; <strong id="mrs_01_24057__b6584135864611">Domain and Mutual Trust</strong>. The value of <strong id="mrs_01_24057__b858418580465">Local Domain</strong> is the system domain name. Change the letters to lowercase letters when running a command.</li></ul>
+</div></div>
+</div>
+<ol id="mrs_01_24057__ol86205115504"><li id="mrs_01_24057__li14621174714330"><span>Log in to the node where the ClickHouseServer instance is located as user <strong id="mrs_01_24057__b141535636625333">root</strong>.</span></li><li id="mrs_01_24057__li10408141903516"><a name="mrs_01_24057__li10408141903516"></a><a name="li10408141903516"></a><span>Run the following command to obtain the path of the <strong id="mrs_01_24057__b16815134215489">clickhouse.keytab</strong> file:</span><p><p id="mrs_01_24057__p2088093683711"><strong id="mrs_01_24057__b58285331372">ls ${BIGDATA_HOME}/FusionInsight_ClickHouse_*/install/FusionInsight-ClickHouse-*/clickhouse/keytab/clickhouse.keytab</strong></p>
+</p></li><li id="mrs_01_24057__li10269200102512"><span>Log in to the node where the client is installed as the client installation user.</span></li><li id="mrs_01_24057__li4269903251"><span>Run the following command to go to the client installation directory:</span><p><p id="mrs_01_24057__p1526916017259"><strong id="mrs_01_24057__b426990122515">cd /opt/client</strong></p>
+</p></li><li id="mrs_01_24057__li172699012517"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_24057__p172694017259"><strong id="mrs_01_24057__b16269180122520">source bigdata_env</strong></p>
+<p id="mrs_01_24057__p447418615711">Run the following command if it is an MRS 3.1.0 cluster with Kerberos authentication enabled:</p>
+<p id="mrs_01_24057__p164127411710"><strong id="mrs_01_24057__b1441254774">export  CLICKHOUSE_SECURITY_ENABLED=true</strong></p>
+</p></li><li id="mrs_01_24057__li1262061185015"><span>Run the following command to connect to the ClickHouseServer instance:</span><p><p id="mrs_01_24057__p0751909518">If Kerberos authentication is enabled for the current cluster, run the following command:</p>
+<p id="mrs_01_24057__p31931843115020"><strong id="mrs_01_24057__b13140928143210">clickhouse client --host </strong><em id="mrs_01_24057__i1747813281329">IP address of the node where the ClickHouseServer instance is located </em><strong id="mrs_01_24057__b10509153171312">--user clickhouse/hadoop.</strong><em id="mrs_01_24057__i10857125381315">&lt;System domain name&gt;</em><strong id="mrs_01_24057__b495120220242"> --password </strong> <em id="mrs_01_24057__i1643954133819">clickhouse.keytab path obtained in <a href="#mrs_01_24057__li10408141903516">2</a></em><strong id="mrs_01_24057__b16618437193816"> --port </strong><em id="mrs_01_24057__i261035015215">ClickHouse port number</em> <strong id="mrs_01_24057__b1620818220433">--secure</strong></p>
+<p id="mrs_01_24057__p1786816817513">If Kerberos authentication is disabled for the current cluster, run the following command:</p>
+<p id="mrs_01_24057__p1120111012513"><strong id="mrs_01_24057__b2425115095017">clickhouse client --host </strong><em id="mrs_01_24057__i12425105010504">IP address of the node where the ClickHouseServer instance is located</em><strong id="mrs_01_24057__b74264505509"> --user clickhouse</strong> <strong id="mrs_01_24057__b1842685016502">--port </strong><em id="mrs_01_24057__i1042615012505">ClickHouse port number</em></p>
+</p></li><li id="mrs_01_24057__li192118542431"><span>Run the following statement to grant permissions to a database:</span><p><p id="mrs_01_24057__p2990155520438">In the syntax for granting permissions, <em id="mrs_01_24057__i1378775301516">DATABASE</em> indicates the name of the target database, and <em id="mrs_01_24057__i1950935111618">role</em> indicates the target role.</p>
+<p id="mrs_01_24057__p199718465293"><strong id="mrs_01_24057__b168599893020">GRANT</strong> <strong id="mrs_01_24057__b1514412483015">[</strong><strong id="mrs_01_24057__b17551316183016">ON CLUSTER</strong><em id="mrs_01_24057__i19556132115308"> cluster_name</em><strong id="mrs_01_24057__b7535134815300">]</strong> <em id="mrs_01_24057__i171322173114">privilege  </em><strong id="mrs_01_24057__b11302016173117">ON</strong> <em id="mrs_01_24057__i979315116326">{DATABASE|TABLE}</em> <strong id="mrs_01_24057__b12742514133217">TO</strong><em id="mrs_01_24057__i9213183018327"> {user | role]</em></p>
+<p id="mrs_01_24057__p2437340183216">For example, grant user <strong id="mrs_01_24057__b1485735212247">testuser</strong> the CREATE permission on database <strong id="mrs_01_24057__b13581682518">t2</strong>:</p>
+<p id="mrs_01_24057__p1959884615339"><strong id="mrs_01_24057__b526132423419">GRANT CREATE ON </strong><em id="mrs_01_24057__i20751162512342">m2</em><strong id="mrs_01_24057__b13759152912346"> to </strong><em id="mrs_01_24057__i97601129183417">testuser</em><strong id="mrs_01_24057__b14759629123416">;</strong></p>
+</p></li><li id="mrs_01_24057__li207441234145217"><span>Run the following commands to grant permissions on the table or view. In the following command, <em id="mrs_01_24057__i1952116122414">TABLE</em> indicates the name of the table or view to be operated, and <em id="mrs_01_24057__i258171632410">user</em> indicates the role to be operated.</span><p><p id="mrs_01_24057__p10270171013539">Run the following command to grant the query permission on tables in a database:</p>
+<p id="mrs_01_24057__p34781149195219"><strong id="mrs_01_24057__b177241253193912">GRANT SELECT ON </strong><em id="mrs_01_24057__i0724653183920">TABLE </em><strong id="mrs_01_24057__b931245673913">TO</strong> <em id="mrs_01_24057__i1831572420354">user</em><strong id="mrs_01_24057__b831212565391"><em id="mrs_01_24057__i18312056183914">;</em></strong></p>
+<p id="mrs_01_24057__p16808131285318">Run the following command to grant the write permission on tables in a database:</p>
+<p id="mrs_01_24057__p1126120570524"><strong id="mrs_01_24057__b7567744409">GRANT INSERT ON </strong><em id="mrs_01_24057__i2972962401">TABLE  </em><strong id="mrs_01_24057__b18348113583518">TO </strong><em id="mrs_01_24057__i193590351356">user</em><strong id="mrs_01_24057__b32371036132117">;</strong></p>
+</p></li><li id="mrs_01_24057__li9593731145318"><span>Run the following command to exit the client:</span><p><p id="mrs_01_24057__p263091271511"><strong id="mrs_01_24057__b10233203814534">quit;</strong></p>
+</p></li></ol>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24251.html">User Management and Authentication</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24062.html b/docs/mrs/component-operation-guide/mrs_01_24062.html
new file mode 100644
index 000000000..293d69d15
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+++ b/docs/mrs/component-operation-guide/mrs_01_24062.html
@@ -0,0 +1,25 @@
+<a name="mrs_01_24062"></a><a name="mrs_01_24062"></a>
+
+<h1 class="topictitle1">Basic Operations</h1>
+<div id="body0000001098750236"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_24103.html">Hudi Table Schema</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24034.html">Write</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24037.html">Read</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24038.html">Data Management and Maintenance</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24100.html">Using the Hudi Client</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24032.html">Configuration Reference</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24025.html">Using Hudi</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24063.html b/docs/mrs/component-operation-guide/mrs_01_24063.html
new file mode 100644
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@@ -0,0 +1,42 @@
+<a name="mrs_01_24063"></a><a name="mrs_01_24063"></a>
+
+<h1 class="topictitle1">Operating a Hudi Table Using hudi-cli.sh</h1>
+<div id="body0000001145430239"><div class="section" id="mrs_01_24063__section15304113923815"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_24063__ul8657019554"><li id="mrs_01_24063__li12659014559">For a cluster with Kerberos authentication enabled, a user has been created on FusionInsight Manager of the cluster and associated with user groups <strong id="mrs_01_24063__b48271158112720">hadoop</strong> and <strong id="mrs_01_24063__b37438113283">hive</strong>.</li><li id="mrs_01_24063__li7656015555">The Hudi cluster client has been downloaded and installed.</li></ul>
+</div>
+<div class="section" id="mrs_01_24063__section1879324535818"><h4 class="sectiontitle">Basic Operations</h4><ol id="mrs_01_24063__ol4590165662011"><li id="mrs_01_24063__li1959085618207">Log in to the cluster client as user <strong id="mrs_01_24063__b95211943558">root</strong> and run the following commands:<p id="mrs_01_24063__p17706123119196"><strong id="mrs_01_24063__b6136141435516">cd </strong> <em id="mrs_01_24063__i141427148554">Client installation directory</em></p>
+<p id="mrs_01_24063__p577172482012"><strong id="mrs_01_24063__b11771924182013">source bigdata_env</strong></p>
+<p id="mrs_01_24063__p112020268202"><strong id="mrs_01_24063__b17120126152013">source Hudi/component_env</strong></p>
+<p id="mrs_01_24063__p1013271391515"><strong id="mrs_01_24063__b114197478565">kinit</strong> <em id="mrs_01_24063__i2425747185618">Created user</em></p>
+</li><li id="mrs_01_24063__li8821195932115">Run the <strong id="mrs_01_24063__b76732050195717">hudi-cli.sh</strong> command to access the Hudi client.<p id="mrs_01_24063__p101560163229"><strong id="mrs_01_24063__b1693234815589">cd</strong> <em id="mrs_01_24063__i89389488589">Client installation directory</em><strong id="mrs_01_24063__b1940154816583">Hudi</strong></p>
+<p id="mrs_01_24063__p1155013152227"><strong id="mrs_01_24063__b3180111311223">./hudi-cli.sh</strong></p>
+<p id="mrs_01_24063__p299618185288"><span><img id="mrs_01_24063__image1399611812817" src="en-us_image_0000001349090349.png"></span></p>
+</li><li id="mrs_01_24063__li187445132119">Run the following example commands as required. For details about all commands, visit the <a href="https://hudi.apache.org/docs/quick-start-guide/" target="_blank" rel="noopener noreferrer">Hudi official website</a>.<ul id="mrs_01_24063__ul584419520516"><li id="mrs_01_24063__li17804162854611">Viewing help information<p id="mrs_01_24063__p63931347134615"><a name="mrs_01_24063__li17804162854611"></a><a name="li17804162854611"></a><strong id="mrs_01_24063__b1918815955011">help</strong>  // View all Hudi CLI commands.</p>
+<p id="mrs_01_24063__p450654464719"><strong id="mrs_01_24063__b34422121504">help 'command'</strong> // View the help information and parameter list of a certain command.</p>
+</li><li id="mrs_01_24063__li584418518515">Connecting to a table<p id="mrs_01_24063__p66917361075"><a name="mrs_01_24063__li584418518515"></a><a name="li584418518515"></a><strong id="mrs_01_24063__b20194195492411">connect --path '</strong><em id="mrs_01_24063__i2747454162411">/tmp/huditest/</em><em id="mrs_01_24063__i1316014599715">test_table</em>'</p>
+</li><li id="mrs_01_24063__li9310010552">Viewing table information<p id="mrs_01_24063__p2090117431870"><a name="mrs_01_24063__li9310010552"></a><a name="li9310010552"></a><strong id="mrs_01_24063__b141994471373">desc</strong></p>
+</li><li id="mrs_01_24063__li6859152516">Viewing compaction plans<p id="mrs_01_24063__p5676157284"><a name="mrs_01_24063__li6859152516"></a><a name="li6859152516"></a><strong id="mrs_01_24063__b16975191011816">compactions show all</strong></p>
+</li><li id="mrs_01_24063__li195683441851">Viewing cleaning plans<p id="mrs_01_24063__p6387626686"><a name="mrs_01_24063__li195683441851"></a><a name="li195683441851"></a><strong id="mrs_01_24063__b1956993113814">cleans show</strong></p>
+</li><li id="mrs_01_24063__li136878512511">Performing the cleaning operation<p id="mrs_01_24063__p139934377814"><a name="mrs_01_24063__li136878512511"></a><a name="li136878512511"></a><strong id="mrs_01_24063__b51254433815">cleans run</strong></p>
+</li><li id="mrs_01_24063__li15812155515513">Viewing commit information<p id="mrs_01_24063__p1416584711810"><a name="mrs_01_24063__li15812155515513"></a><a name="li15812155515513"></a><strong id="mrs_01_24063__b1316125015810">commits show</strong></p>
+</li><li id="mrs_01_24063__li3460191062">Viewing the partition where the commit is written to<p id="mrs_01_24063__p195021857987"><a name="mrs_01_24063__li3460191062"></a><a name="li3460191062"></a><strong id="mrs_01_24063__b1053771342415">commit showpartitions --commit </strong><em id="mrs_01_24063__i2541171362410">20210127153356</em></p>
+<div class="note" id="mrs_01_24063__note1343517262012"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_24063__p154361426406"><em id="mrs_01_24063__i69413165720">20210127153356</em> indicates the commit timestamp.</p>
+</div></div>
+</li><li id="mrs_01_24063__li143309810614">Viewing the file where the commit is written to<p id="mrs_01_24063__p4665758915"><a name="mrs_01_24063__li143309810614"></a><a name="li143309810614"></a><strong id="mrs_01_24063__b179279161249">commit showfiles --commit </strong><em id="mrs_01_24063__i1454571742411">20210127153356</em></p>
+</li><li id="mrs_01_24063__li7736613765">Comparing the commit information of two tables<p id="mrs_01_24063__p206427131996"><a name="mrs_01_24063__li7736613765"></a><a name="li7736613765"></a><strong id="mrs_01_24063__b14168163462419">commits compare --path </strong><em id="mrs_01_24063__i15707143417244">/tmp/hudimor/</em><em id="mrs_01_24063__i2377922202418">mytest100</em></p>
+</li><li id="mrs_01_24063__li157020193616">Rolling back a commit (Only the last commit can be rolled back.)<p id="mrs_01_24063__p17619122110915"><a name="mrs_01_24063__li157020193616"></a><a name="li157020193616"></a><strong id="mrs_01_24063__b16851122613245">commit rollback --commit </strong><em id="mrs_01_24063__i2588102714244">2021012716490</em><em id="mrs_01_24063__i314724212415">5</em></p>
+</li><li id="mrs_01_24063__li62325511404">Scheduling a compaction<p id="mrs_01_24063__p623217514018"><a name="mrs_01_24063__li62325511404"></a><a name="li62325511404"></a><strong id="mrs_01_24063__b169023472413">compaction schedule --</strong><em id="mrs_01_24063__i19174103732412">hoodieConfigs 'hoodie.compaction.strategy=org.apache.hudi.table.action.compact.strategy.BoundedIOCompactionStrategy,hoodie.compaction.target.io=1,hoodie.compact.inline.max.delta.commits=1'</em></p>
+</li><li id="mrs_01_24063__li10849163555016">Performing a compaction<p id="mrs_01_24063__p185133549598"><a name="mrs_01_24063__li10849163555016"></a><a name="li10849163555016"></a><strong id="mrs_01_24063__b182915437246">compaction run --</strong><em id="mrs_01_24063__i1655024932416">parallelism 100 --sparkMemory 1g --retry 1 --compactionInstant 20210602101315 --hoodieConfigs 'hoodie.compaction.strategy=org.apache.hudi.table.action.compact.strategy.BoundedIOCompactionStrategy,hoodie.compaction.target.io=1,hoodie.compact.inline.max.delta.commits=1' --propsFilePath hdfs://hacluster/tmp/default/tb_test_mor/.hoodie/hoodie.properties --schemaFilePath /tmp/default/tb_test_mor/.hoodie/compact_tb_base.json</em></p>
+</li><li id="mrs_01_24063__li13858395528">Creating a savepoint<p id="mrs_01_24063__p117711959185415"><a name="mrs_01_24063__li13858395528"></a><a name="li13858395528"></a><strong id="mrs_01_24063__b317525145415">savepoint create</strong> <strong id="mrs_01_24063__b82301547165811">--commit </strong><em id="mrs_01_24063__i5595134211582">2</em><em id="mrs_01_24063__i119163185817">0210318155750</em></p>
+</li><li id="mrs_01_24063__li8930151325314">Rolling back a specified savepoint<p id="mrs_01_24063__p1187185817545"><a name="mrs_01_24063__li8930151325314"></a><a name="li8930151325314"></a><strong id="mrs_01_24063__b175128544548">savepoint rollback</strong><strong id="mrs_01_24063__b83662051195818"> --savepoint </strong><em id="mrs_01_24063__i18556135665812">20210318155750</em></p>
+<div class="caution" id="mrs_01_24063__note7192171013419"><span class="cautiontitle"><img src="public_sys-resources/caution_3.0-en-us.png"> </span><div class="cautionbody"><ol type="a" id="mrs_01_24063__ol27051113164118"><li id="mrs_01_24063__li1070515131415">If the commit operation causes metadata conflicts, you can run the <strong id="mrs_01_24063__b4961144152516">commit rollback</strong> and <strong id="mrs_01_24063__b1782010478258">savepoint rollback</strong> commands to roll back data, but the Hive metadata cannot be rolled back. In this case, you can delete the Hive table and manually synchronize data.</li><li id="mrs_01_24063__li270561384113">The <strong id="mrs_01_24063__b1421104122813">commit rollback</strong> command rolls back only the latest commit, and the <strong id="mrs_01_24063__b2757161814281">savepoint rollback</strong> command rolls back only the latest savepoint. You cannot specify a commit or savepoint to roll back.</li></ol>
+</div></div>
+</li></ul>
+</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24100.html">Using the Hudi Client</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_24064"></a><a name="mrs_01_24064"></a>
+
+<h1 class="topictitle1">Synchronizing Hudi Table Data to Hive</h1>
+<div id="body0000001099070214"><p id="mrs_01_24064__p437215780">You can run <strong id="mrs_01_24064__b1699193493">run_hive_sync_tool.sh</strong> to synchronize data in the Hudi table to Hive.</p>
+<p id="mrs_01_24064__p81519218509">For example, run the following command to synchronize the Hudi table in the <strong id="mrs_01_24064__b1695113573332">hdfs://hacluster/tmp/huditest/hudimor1_deltastreamer_partition</strong> directory on HDFS to the Hive table <strong id="mrs_01_24064__b1660745293315">table hive_sync_test3</strong> with <strong id="mrs_01_24064__b1178112324916">unite</strong>, <strong id="mrs_01_24064__b1617417341690">country</strong>, and <strong id="mrs_01_24064__b153194375910">state</strong> as partition keys:</p>
+<p id="mrs_01_24064__p8398152015265"><strong id="mrs_01_24064__b14184172312620">run_hive_sync_tool.sh --partitioned-by unite,country,state --base-path hdfs://hacluster/tmp/huditest/hudimor1_deltastreamer_partition --table hive_sync_test3 --partition-value-extractor org.apache.hudi.hive.MultiPartKeysValueExtractor --support-timestamp</strong></p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24064__table137667720218" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_24064__row5824197132117"><th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.4.2.5.1.1"><p id="mrs_01_24064__p1582412713218">Command</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="35%" id="mcps1.3.4.2.5.1.2"><p id="mrs_01_24064__p38243762111">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="20%" id="mcps1.3.4.2.5.1.3"><p id="mrs_01_24064__p10824479218">Mandatory or Not (Yes or No)</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.4.2.5.1.4"><p id="mrs_01_24064__p138241719216">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24064__row148245712214"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.1 "><p id="mrs_01_24064__p188241374214">--database</p>
+</td>
+<td class="cellrowborder" valign="top" width="35%" headers="mcps1.3.4.2.5.1.2 "><p id="mrs_01_24064__p138247712219">Specifies the Hive database name.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.3 "><p id="mrs_01_24064__p58243711211">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.4 "><p id="mrs_01_24064__p8824779216">default</p>
+</td>
+</tr>
+<tr id="mrs_01_24064__row482419710212"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.1 "><p id="mrs_01_24064__p15824117142111">--table</p>
+</td>
+<td class="cellrowborder" valign="top" width="35%" headers="mcps1.3.4.2.5.1.2 "><p id="mrs_01_24064__p482420715213">Specifies the Hive table name.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.3 "><p id="mrs_01_24064__p1882417719216">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.4 "><p id="mrs_01_24064__p168241573219">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24064__row0824157162118"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.1 "><p id="mrs_01_24064__p2082413710217">--base-file-format</p>
+</td>
+<td class="cellrowborder" valign="top" width="35%" headers="mcps1.3.4.2.5.1.2 "><p id="mrs_01_24064__p178249752116">Specifies the file format (<strong id="mrs_01_24064__b1468412113915">PARQUET</strong> or <strong id="mrs_01_24064__b198831514153916">HFILE</strong>).</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.3 "><p id="mrs_01_24064__p782437192115">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.4 "><p id="mrs_01_24064__p1182417182115">PARQUET</p>
+</td>
+</tr>
+<tr id="mrs_01_24064__row1082415762110"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.1 "><p id="mrs_01_24064__p782447172116">--user</p>
+</td>
+<td class="cellrowborder" valign="top" width="35%" headers="mcps1.3.4.2.5.1.2 "><p id="mrs_01_24064__p1682447102115">Specifies the Hive username.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.3 "><p id="mrs_01_24064__p18824178215">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.4 "><p id="mrs_01_24064__p182412702113">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24064__row128246712112"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.1 "><p id="mrs_01_24064__p7824207132112">--pass</p>
+</td>
+<td class="cellrowborder" valign="top" width="35%" headers="mcps1.3.4.2.5.1.2 "><p id="mrs_01_24064__p188249712211">Specifies the Hive password.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.3 "><p id="mrs_01_24064__p118241475215">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.4 "><p id="mrs_01_24064__p1682418718218">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24064__row18242715213"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.1 "><p id="mrs_01_24064__p7824175219">--jdbc-url</p>
+</td>
+<td class="cellrowborder" valign="top" width="35%" headers="mcps1.3.4.2.5.1.2 "><p id="mrs_01_24064__p5824878216">Specifies the Hive JDBC connection URL.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.3 "><p id="mrs_01_24064__p118244711213">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.4 "><p id="mrs_01_24064__p18241877215">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24064__row18824137192117"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.1 "><p id="mrs_01_24064__p082537152111">--base-path</p>
+</td>
+<td class="cellrowborder" valign="top" width="35%" headers="mcps1.3.4.2.5.1.2 "><p id="mrs_01_24064__p482577102114">Specifies the storage path of the Hudi table to be synchronized.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.3 "><p id="mrs_01_24064__p1382517710217">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.4 "><p id="mrs_01_24064__p1582518717212">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24064__row482547112114"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.1 "><p id="mrs_01_24064__p18251071216">--partitioned-by</p>
+</td>
+<td class="cellrowborder" valign="top" width="35%" headers="mcps1.3.4.2.5.1.2 "><p id="mrs_01_24064__p168256710215">Specifies the partition key.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.3 "><p id="mrs_01_24064__p7825107132113">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.4 "><p id="mrs_01_24064__p482510712218">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24064__row682518714219"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.1 "><p id="mrs_01_24064__p18257752119">--partition-value-extractor</p>
+</td>
+<td class="cellrowborder" valign="top" width="35%" headers="mcps1.3.4.2.5.1.2 "><p id="mrs_01_24064__p2082512712219">Specifies the partition class. PartitionValueExtractor needs to be implemented. The partition value can be extracted from the HDFS path.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.3 "><p id="mrs_01_24064__p282557132110">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.4 "><p id="mrs_01_24064__p1982512712117">SlashEncodedDayPartitionValueExtractor</p>
+</td>
+</tr>
+<tr id="mrs_01_24064__row482547132114"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.1 "><p id="mrs_01_24064__p15825178216">--assume-date-partitioning</p>
+</td>
+<td class="cellrowborder" valign="top" width="35%" headers="mcps1.3.4.2.5.1.2 "><p id="mrs_01_24064__p282515732110">Creates partitions in yyyy/mm/dd format to support backward compatibility.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.3 "><p id="mrs_01_24064__p982517782119">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.4 "><p id="mrs_01_24064__p1182547142116">false</p>
+</td>
+</tr>
+<tr id="mrs_01_24064__row1182511712115"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.1 "><p id="mrs_01_24064__p128255732119">--use-pre-apache-input-format</p>
+</td>
+<td class="cellrowborder" valign="top" width="35%" headers="mcps1.3.4.2.5.1.2 "><p id="mrs_01_24064__p198253715218">Use InputFormat in the <strong id="mrs_01_24064__b642313317547">com.uber.hoodie</strong> package to replace the one in the <strong id="mrs_01_24064__b2279148125513">org.apache.hudi</strong> package. Do not use this command except for migrating projects from <strong id="mrs_01_24064__b1991113715111">com.uber.hoodie</strong> to <strong id="mrs_01_24064__b159126710115">org.apache.hudi</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.3 "><p id="mrs_01_24064__p882510722110">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.4 "><p id="mrs_01_24064__p8825373212">false</p>
+</td>
+</tr>
+<tr id="mrs_01_24064__row12825127112119"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.1 "><p id="mrs_01_24064__p5825177162110">--use-jdbc</p>
+</td>
+<td class="cellrowborder" valign="top" width="35%" headers="mcps1.3.4.2.5.1.2 "><p id="mrs_01_24064__p68259711213">Uses Hive JDBC connection.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.3 "><p id="mrs_01_24064__p982577132110">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.4 "><p id="mrs_01_24064__p118251718214">true</p>
+</td>
+</tr>
+<tr id="mrs_01_24064__row8825472215"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.1 "><p id="mrs_01_24064__p58251276213">--auto-create-database</p>
+</td>
+<td class="cellrowborder" valign="top" width="35%" headers="mcps1.3.4.2.5.1.2 "><p id="mrs_01_24064__p682517719216">Specifies whether to automatically create a Hive database.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.3 "><p id="mrs_01_24064__p5825197202110">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.4 "><p id="mrs_01_24064__p158251078214">true</p>
+</td>
+</tr>
+<tr id="mrs_01_24064__row198252742117"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.1 "><p id="mrs_01_24064__p1782518722112">--skip-ro-suffix</p>
+</td>
+<td class="cellrowborder" valign="top" width="35%" headers="mcps1.3.4.2.5.1.2 "><p id="mrs_01_24064__p1545395635918">Specifies whether to skip the read-optimized view with the <strong id="mrs_01_24064__b1981953217408">_ro</strong> suffix during registration.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.3 "><p id="mrs_01_24064__p682587172115">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.4 "><p id="mrs_01_24064__p28259719215">false</p>
+</td>
+</tr>
+<tr id="mrs_01_24064__row1382557122117"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.1 "><p id="mrs_01_24064__p18825197202120">--use-file-listing-from-metadata</p>
+</td>
+<td class="cellrowborder" valign="top" width="35%" headers="mcps1.3.4.2.5.1.2 "><p id="mrs_01_24064__p1782597132119">Specifies whether to obtain the file list from the Hudi metadata.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.3 "><p id="mrs_01_24064__p1782510712116">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.4 "><p id="mrs_01_24064__p88251770216">false</p>
+</td>
+</tr>
+<tr id="mrs_01_24064__row082518772116"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.1 "><p id="mrs_01_24064__p18825137122110">--verify-metadata-file-listing</p>
+</td>
+<td class="cellrowborder" valign="top" width="35%" headers="mcps1.3.4.2.5.1.2 "><p id="mrs_01_24064__p123401051211">Specifies whether to verify the file list in the Hudi metadata based on the file system.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.3 "><p id="mrs_01_24064__p582597152114">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.4 "><p id="mrs_01_24064__p2082515717212">false</p>
+</td>
+</tr>
+<tr id="mrs_01_24064__row208256762112"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.1 "><p id="mrs_01_24064__p1882513722114">--help/-h</p>
+</td>
+<td class="cellrowborder" valign="top" width="35%" headers="mcps1.3.4.2.5.1.2 "><p id="mrs_01_24064__p108251477211">Specifies whether to display help information.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.3 "><p id="mrs_01_24064__p882519762110">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.4 "><p id="mrs_01_24064__p48251876213">false</p>
+</td>
+</tr>
+<tr id="mrs_01_24064__row198256716219"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.1 "><p id="mrs_01_24064__p1782510711216">--support-timestamp</p>
+</td>
+<td class="cellrowborder" valign="top" width="35%" headers="mcps1.3.4.2.5.1.2 "><p id="mrs_01_24064__p15322401934">Specifies whether to convert <strong id="mrs_01_24064__b174431039191120">TIMESTAMP_MICROS</strong> of INT64 to Hive timestamp.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.3 "><p id="mrs_01_24064__p1382510717211">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.4 "><p id="mrs_01_24064__p882515792120">false</p>
+</td>
+</tr>
+<tr id="mrs_01_24064__row1582547112111"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.1 "><p id="mrs_01_24064__p18825127142113">--decode-partition</p>
+</td>
+<td class="cellrowborder" valign="top" width="35%" headers="mcps1.3.4.2.5.1.2 "><p id="mrs_01_24064__p882557192111">Specifies whether to decode the partition value if the partition is encoded during the write process.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.3 "><p id="mrs_01_24064__p182507182116">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.4 "><p id="mrs_01_24064__p482516792114">false</p>
+</td>
+</tr>
+<tr id="mrs_01_24064__row5120112822413"><td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.1 "><p id="mrs_01_24064__p18120182862414">--batch-sync-num</p>
+</td>
+<td class="cellrowborder" valign="top" width="35%" headers="mcps1.3.4.2.5.1.2 "><p id="mrs_01_24064__p612110287241">Specifies the number of Hive partitions to be synchronized in each batch.</p>
+</td>
+<td class="cellrowborder" valign="top" width="20%" headers="mcps1.3.4.2.5.1.3 "><p id="mrs_01_24064__p1712172816245">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.4.2.5.1.4 "><p id="mrs_01_24064__p17121102822410">1000</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_24064__note161188557234"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_24064__p1114218742411">During Hive synchronization, if the table does not exist, an external table is created and partitions are added. If the table exists, check whether table schemas are different. If they are different, replace the table. Check whether new partitions exist. If new partitions exist, partitions are added accordingly.</p>
+<p id="mrs_01_24064__p514212772411">Therefore, there are the following restrictions when Hive synchronization is used:</p>
+<ul id="mrs_01_24064__ul1231133918281"><li id="mrs_01_24064__li52311839112820">Fields can only be added to the schema and cannot be modified or deleted.</li><li id="mrs_01_24064__li723110395286">Partition directories can only be added but cannot be deleted.</li><li id="mrs_01_24064__li17231203919281"><strong id="mrs_01_24064__b1714656165711">Overwrite</strong> can only overwrite the Hudi table. The Hive table cannot be overwritten synchronously.</li><li id="mrs_01_24064__li162311639202819">Do not use the timestamp type as the partition column when synchronizing a Hudi table to Hive.</li><li id="mrs_01_24064__li6579336191814">When this script is used for synchronization, JDBC must be used for security purposes. That is, <strong id="mrs_01_24064__b209621053164719">--use-jdbc</strong> must be set to <strong id="mrs_01_24064__b883761114818">true</strong>.</li></ul>
+</div></div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24034.html">Write</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24065.html b/docs/mrs/component-operation-guide/mrs_01_24065.html
new file mode 100644
index 000000000..d964b8dcb
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24065.html
@@ -0,0 +1,19 @@
+<a name="mrs_01_24065"></a><a name="mrs_01_24065"></a>
+
+<h1 class="topictitle1">Common Issues About Hudi</h1>
+<div id="body0000001098590408"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_24070.html">Data Write</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24075.html">Data Collection</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24080.html">Hive Synchronization</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24025.html">Using Hudi</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24070.html b/docs/mrs/component-operation-guide/mrs_01_24070.html
new file mode 100644
index 000000000..445658467
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24070.html
@@ -0,0 +1,23 @@
+<a name="mrs_01_24070"></a><a name="mrs_01_24070"></a>
+
+<h1 class="topictitle1">Data Write</h1>
+<div id="body0000001146943075"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_24071.html">Parquet/Avro schema Is Reported When Updated Data Is Written</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24072.html">UnsupportedOperationException Is Reported When Updated Data Is Written</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24073.html">SchemaCompatabilityException Is Reported When Updated Data Is Written</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24074.html">What Should I Do If Hudi Consumes Much Space in a Temporary Folder During Upsert?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24504.html">Hudi Fails to Write Decimal Data with Lower Precision</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24065.html">Common Issues About Hudi</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24071.html b/docs/mrs/component-operation-guide/mrs_01_24071.html
new file mode 100644
index 000000000..b884e344d
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24071.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_24071"></a><a name="mrs_01_24071"></a>
+
+<h1 class="topictitle1">Parquet/Avro schema Is Reported When Updated Data Is Written</h1>
+<div id="body0000001146783027"><div class="section" id="mrs_01_24071__section1453810451898"><h4 class="sectiontitle">Question</h4><p id="mrs_01_24071__p178111501326">The following error is reported when data is written:</p>
+<pre class="screen" id="mrs_01_24071__screen256782103318">org.apache.parquet.io.InvalidRecordException: Parquet/Avro schema mismatch: Avro field 'col1' not found</pre>
+</div>
+<div class="section" id="mrs_01_24071__section11310239101"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_24071__p182882343158">You are advised to evolve schemas in backward compatible mode while using Hudi. This error usually occurs when you delete some columns, such as <strong id="mrs_01_24071__b17144812151318">col1</strong>, in backward incompatible mode and then update <strong id="mrs_01_24071__b6145212111311">col1</strong> written with the old schema in the Parquet file. In this case, the Parquet file attempts to search for all the current fields in the input record, if <strong id="mrs_01_24071__b114571214135">col1</strong> does not exist, the preceding exception is thrown.</p>
+<p id="mrs_01_24071__p8288153410151">To solve this problem, create an uber schema using all the schema versions evolved and use this uber schema as the target schema. You can obtain a schema from Hive MetaStore and merge it with the current schema.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24070.html">Data Write</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24072.html b/docs/mrs/component-operation-guide/mrs_01_24072.html
new file mode 100644
index 000000000..603be19a2
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24072.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_24072"></a><a name="mrs_01_24072"></a>
+
+<h1 class="topictitle1">UnsupportedOperationException Is Reported When Updated Data Is Written</h1>
+<div id="body0000001100063116"><div class="section" id="mrs_01_24072__section1453810451898"><h4 class="sectiontitle">Question</h4><p id="mrs_01_24072__p7332335153319">The following error is reported when data is written:</p>
+<pre class="screen" id="mrs_01_24072__screen63515448334">java.lang.UnsupportedOperationException: org.apache.parquet.avro.AvroConverters$FieldIntegerConverter</pre>
+</div>
+<div class="section" id="mrs_01_24072__section11310239101"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_24072__p193191430121013">This error will occur again because schema evolutions are in non-backwards compatible mode. Basically, there is some update U for a record R which is already written to the Hudi dataset in the Parquet file. R contains field F which includes certain data type, that is long. U has the same field F with the int data type. Parquet FS does not support incompatible data type conversions.</p>
+<p id="mrs_01_24072__p8320143061012">For such errors, perform valid data type conversions in the data source where you collect data.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24070.html">Data Write</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24073.html b/docs/mrs/component-operation-guide/mrs_01_24073.html
new file mode 100644
index 000000000..d0d0e7146
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24073.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_24073"></a><a name="mrs_01_24073"></a>
+
+<h1 class="topictitle1">SchemaCompatabilityException Is Reported When Updated Data Is Written</h1>
+<div id="body0000001146663105"><div class="section" id="mrs_01_24073__section3401191111117"><h4 class="sectiontitle">Question</h4><p id="mrs_01_24073__p1821310122346">The following error is reported when data is written:</p>
+<pre class="screen" id="mrs_01_24073__screen17306152223414">org.apache.hudi.exception.SchemaCompatabilityException: Unable to validate the rewritten record &lt;record&gt; against schema &lt;schema&gt;at org.apache.hudi.common.util.HoodieAvroUtils.rewrite(HoodieAvroUtils.java:215)</pre>
+</div>
+<div class="section" id="mrs_01_24073__section759713791120"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_24073__p328813348151">This error may occur if a schema contains some <strong id="mrs_01_24073__b20859162610190">non-nullable</strong> field whose value is not present or is null.</p>
+<p id="mrs_01_24073__p12881534161519">You are advised to evolve schemas in backward compatible mode. Essentially, this means either you need to set each newly added field to null or to default values. In Hudi 0.5.1 and later versions, the troubleshooting is invalid if fields rely on default values.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24070.html">Data Write</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24074.html b/docs/mrs/component-operation-guide/mrs_01_24074.html
new file mode 100644
index 000000000..e1921705d
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24074.html
@@ -0,0 +1,15 @@
+<a name="mrs_01_24074"></a><a name="mrs_01_24074"></a>
+
+<h1 class="topictitle1">What Should I Do If Hudi Consumes Much Space in a Temporary Folder During Upsert?</h1>
+<div id="body0000001100223108"><div class="section" id="mrs_01_24074__section107038961220"><h4 class="sectiontitle">Question</h4><p id="mrs_01_24074__p162881034171512">Hudi consumes much space in a temporary folder during upsert.</p>
+</div>
+<div class="section" id="mrs_01_24074__section654461315124"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_24074__p19980104312206">Hudi will spill part of input data to disk if the maximum memory for merge is reached when much input data is upserted.</p>
+<p id="mrs_01_24074__p82881034151511">If the memory is sufficient, increase the memory of the Spark executor and add the <strong id="mrs_01_24074__b7523165711442">hoodie.memory.merge.fraction</strong> option, for example, <strong id="mrs_01_24074__b5797613154515">option("hoodie.memory.merge.fraction", "0.8")</strong>.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24070.html">Data Write</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24075.html b/docs/mrs/component-operation-guide/mrs_01_24075.html
new file mode 100644
index 000000000..6f560325f
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24075.html
@@ -0,0 +1,19 @@
+<a name="mrs_01_24075"></a><a name="mrs_01_24075"></a>
+
+<h1 class="topictitle1">Data Collection</h1>
+<div id="body0000001146862971"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_24077.html">IllegalArgumentException Is Reported When Kafka Is Used to Collect Data</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24078.html">HoodieException Is Reported When Data Is Collected</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24079.html">HoodieKeyException Is Reported When Data Is Collected</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24065.html">Common Issues About Hudi</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24077.html b/docs/mrs/component-operation-guide/mrs_01_24077.html
new file mode 100644
index 000000000..5a4546d83
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24077.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_24077"></a><a name="mrs_01_24077"></a>
+
+<h1 class="topictitle1">IllegalArgumentException Is Reported When Kafka Is Used to Collect Data</h1>
+<div id="body0000001100383098"><div class="section" id="mrs_01_24077__section186318321317"><h4 class="sectiontitle">Question</h4><p id="mrs_01_24077__p19447187203610">The error "org.apache.kafka.common.KafkaException: Failed to construct kafka consumer" is reported in the <strong id="mrs_01_24077__b13100449181914">main</strong> thread, and the following error is reported.</p>
+<pre class="screen" id="mrs_01_24077__screen1978161213362">java.lang.IllegalArgumentException: Could not find a 'KafkaClient' entry in the JAAS configuration. System property 'java.security.auth.login.config' is not set</pre>
+</div>
+<div class="section" id="mrs_01_24077__section285121011313"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_24077__p11288234201515">This error may occur when you try to collect data from the Kafka source with SSL enabled and the installation program cannot read the <strong id="mrs_01_24077__b1931414578712">jars.conf</strong> file and its properties.</p>
+<p id="mrs_01_24077__p11288173421515">To solve this problem, pass the required property as part of the command submitted through Spark. Example: <strong id="mrs_01_24077__b771518511197">--files jaas.conf,failed_tables.json --conf 'spark.driver.extraJavaOptions=-Djava.security.auth.login.config=jaas.conf' --conf 'spark.executor .extraJavaOptions=-Djava.security.auth.login.config=jaas.conf'</strong></p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24075.html">Data Collection</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24078.html b/docs/mrs/component-operation-guide/mrs_01_24078.html
new file mode 100644
index 000000000..e3269ab6d
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24078.html
@@ -0,0 +1,15 @@
+<a name="mrs_01_24078"></a><a name="mrs_01_24078"></a>
+
+<h1 class="topictitle1">HoodieException Is Reported When Data Is Collected</h1>
+<div id="body0000001146943077"><div class="section" id="mrs_01_24078__section21786219131"><h4 class="sectiontitle">Question</h4><p id="mrs_01_24078__p1575713510368">The following error is reported when data is collected:</p>
+<pre class="screen" id="mrs_01_24078__screen692218589365">com.uber.hoodie.exception.HoodieException: created_at(Part -created_at) field not found in record. Acceptable fields were :[col1, col2, col3, id, name, dob, created_at, updated_at]</pre>
+</div>
+<div class="section" id="mrs_01_24078__section1359473371317"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_24078__p42881034161518">This error usually occurs when a field marked as recordKey or partitionKey is not present in the input record. Cross verify the input record.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24075.html">Data Collection</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24079.html b/docs/mrs/component-operation-guide/mrs_01_24079.html
new file mode 100644
index 000000000..c0ecfedec
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24079.html
@@ -0,0 +1,18 @@
+<a name="mrs_01_24079"></a><a name="mrs_01_24079"></a>
+
+<h1 class="topictitle1">HoodieKeyException Is Reported When Data Is Collected</h1>
+<div id="body0000001146783029"><div class="section" id="mrs_01_24079__section1644344831312"><h4 class="sectiontitle">Question</h4><p id="mrs_01_24079__p128813471514">Is it possible to use a nullable field that contains null records as a primary key when creating a Hudi table?</p>
+</div>
+<div class="section" id="mrs_01_24079__section97884021416"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_24079__p2288134181515">No. HoodieKeyException will be thrown.</p>
+<pre class="screen" id="mrs_01_24079__screen460193583714">Caused by: org.apache.hudi.exception.HoodieKeyException: recordKey value: "null" for field: "name" cannot be null or empty.
+at org.apache.hudi.keygen.SimpleKeyGenerator.getKey(SimpleKeyGenerator.java:58)
+at org.apache.hudi.HoodieSparkSqlWriter$$anonfun$1.apply(HoodieSparkSqlWriter.scala:104)
+at org.apache.hudi.HoodieSparkSqlWriter$$anonfun$1.apply(HoodieSparkSqlWriter.scala:100)</pre>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24075.html">Data Collection</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24080.html b/docs/mrs/component-operation-guide/mrs_01_24080.html
new file mode 100644
index 000000000..60efa1bb2
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24080.html
@@ -0,0 +1,20 @@
+<a name="mrs_01_24080"></a><a name="mrs_01_24080"></a>
+
+<h1 class="topictitle1">Hive Synchronization</h1>
+<div id="body0000001100063120"><p id="mrs_01_24080__p8060118"></p>
+</div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_24081.html">SQLException Is Reported During Hive Data Synchronization</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24082.html">HoodieHiveSyncException Is Reported During Hive Data Synchronization</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24083.html">SemanticException Is Reported During Hive Data Synchronization</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24065.html">Common Issues About Hudi</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24081.html b/docs/mrs/component-operation-guide/mrs_01_24081.html
new file mode 100644
index 000000000..99640365f
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24081.html
@@ -0,0 +1,17 @@
+<a name="mrs_01_24081"></a><a name="mrs_01_24081"></a>
+
+<h1 class="topictitle1">SQLException Is Reported During Hive Data Synchronization</h1>
+<div id="body0000001146663107"><div class="section" id="mrs_01_24081__section194431819201410"><h4 class="sectiontitle">Question</h4><p id="mrs_01_24081__p16909143612459">The following error is reported during Hive data synchronization:</p>
+<pre class="screen" id="mrs_01_24081__screen929054174515">Caused by: java.sql.SQLException: Error while processing statement: FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.DDLTask. Unable to alter table. The following columns have types incompatible with the existing columns in their respective positions :
+__col1,__col2</pre>
+</div>
+<div class="section" id="mrs_01_24081__section767133013143"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_24081__p128833417151">This error usually occurs when you try to add a new column to an existing Hive table using the <strong id="mrs_01_24081__b1470224015336">HiveSyncTool.java</strong> class. Databases usually do not allow the modification of a column data type from a higher order to lower order or cases where the data types may conflict with the data that is already stored or will be stored in the table. To solve this problem, </p>
+<p id="mrs_01_24081__p17288153410151">set <strong id="mrs_01_24081__b040634217371">hive.metastore.disallow.in compatible.col.type.changes</strong> to <strong id="mrs_01_24081__b1283016432372">false</strong>.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24080.html">Hive Synchronization</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24082.html b/docs/mrs/component-operation-guide/mrs_01_24082.html
new file mode 100644
index 000000000..1534d556a
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24082.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_24082"></a><a name="mrs_01_24082"></a>
+
+<h1 class="topictitle1">HoodieHiveSyncException Is Reported During Hive Data Synchronization</h1>
+<div id="body0000001100223112"><div class="section" id="mrs_01_24082__section145595431415"><h4 class="sectiontitle">Question</h4><p id="mrs_01_24082__p195911234212">The following error is reported during Hive data synchronization:</p>
+<pre class="screen" id="mrs_01_24082__screen138561533104211">com.uber.hoodie.hive.HoodieHiveSyncException: Could not convert field Type from &lt;type1&gt; to &lt;type2&gt; for field col1</pre>
+</div>
+<div class="section" id="mrs_01_24082__section59331205157"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_24082__p12882341154">This error occurs because HiveSyncTool currently supports only few compatible data type conversions. The exception is thrown if any other incompatible changes are made.</p>
+<p id="mrs_01_24082__p16288234141518">Check the data type evolution for the related field and verify if it indeed can be considered as a valid data type conversion based on the Hudi code base.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24080.html">Hive Synchronization</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24083.html b/docs/mrs/component-operation-guide/mrs_01_24083.html
new file mode 100644
index 000000000..fbd9be8d2
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24083.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_24083"></a><a name="mrs_01_24083"></a>
+
+<h1 class="topictitle1">SemanticException Is Reported During Hive Data Synchronization</h1>
+<div id="body0000001146862975"><div class="section" id="mrs_01_24083__section1730015163153"><h4 class="sectiontitle">Question</h4><p id="mrs_01_24083__p109711845184219">The following error is reported during Hive data synchronization:</p>
+<pre class="screen" id="mrs_01_24083__screen14804049164210">org.apache.hadoop.hive.ql.parse.SemanticException: Database does not exist: test_db</pre>
+</div>
+<div class="section" id="mrs_01_24083__section7831162251518"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_24083__p19289153441517">This error usually occurs when Hive synchronization is performed on the Hudi dataset but the configured <strong id="mrs_01_24083__b1420518113451">hive_sync</strong> database does not exist.</p>
+<p id="mrs_01_24083__p328953461513">Create the corresponding database on your Hive cluster and try again.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24080.html">Hive Synchronization</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24088.html b/docs/mrs/component-operation-guide/mrs_01_24088.html
new file mode 100644
index 000000000..5c73eebc4
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24088.html
@@ -0,0 +1,40 @@
+<a name="mrs_01_24088"></a><a name="mrs_01_24088"></a>
+
+<h1 class="topictitle1">Clustering</h1>
+<div id="body0000001104648222"><div class="section" id="mrs_01_24088__section1690119912318"><h4 class="sectiontitle">Introduction</h4><p id="mrs_01_24088__p4107023137">Clustering reorganizes data layout to improve query performance without affecting the ingestion speed.</p>
+</div>
+<div class="section" id="mrs_01_24088__section112535238316"><h4 class="sectiontitle">Architecture</h4><p id="mrs_01_24088__p8060118">Hudi provides different operations, such as <strong id="mrs_01_24088__b13573122416428">insert</strong>, <strong id="mrs_01_24088__b13436426164217">upsert</strong>, and <strong id="mrs_01_24088__b281843024219">bulk_insert</strong>, through its write client API to write data to a Hudi table. To weight between file size and speed of importing data into the data lake, Hudi provides <strong id="mrs_01_24088__b2026442844515">hoodie.parquet.small.file.limit</strong> to configure the minimum file size. You can set it to <strong id="mrs_01_24088__b12917131414110">0</strong> to force new data to be written to new file groups, or to a higher value to ensure that new data is "padded" to existing small file groups until it reaches the specified size, but this increases ingestion latency.</p>
+<p id="mrs_01_24088__p185849514293">To support fast ingestion without affecting query performance, the clustering service is introduced to rewrite data to optimize the layout of Hudi data lake files.</p>
+<p id="mrs_01_24088__p165841059293">The clustering service can run asynchronously or synchronously. It adds a new operation type called <strong id="mrs_01_24088__b127695436515">REPLACE</strong>, which will mark the clustering operation in the Hudi metadata timeline.</p>
+<p id="mrs_01_24088__p167027202054">Clustering service is based on the MVCC design of Hudi to allow new data to be inserted. Clustering operations run in the background to reformat data layout, ensuring snapshot isolation between concurrent readers and writers.</p>
+<p id="mrs_01_24088__p021911349711"><span><img id="mrs_01_24088__image167225524618" src="en-us_image_0000001296090428.png"></span></p>
+<p id="mrs_01_24088__p95841258293">Clustering is divided into two parts:</p>
+<ul id="mrs_01_24088__ul6714413142913"><li id="mrs_01_24088__li0714613112913">Scheduling clustering: Create a clustering plan using a pluggable clustering strategy.<ol id="mrs_01_24088__ol87251635143211"><li id="mrs_01_24088__li5725133520321">Identify files that are eligible for clustering: Depending on the selected clustering strategy, the scheduling logic will identify the files eligible for clustering.</li><li id="mrs_01_24088__li1072553512322">Group files that are eligible for clustering based on specific criteria. The data size of each group must be a multiple of <strong id="mrs_01_24088__b113287191737">targetFileSize</strong>. Grouping is a part of the strategy defined in the plan. Additionally, there is an option to control group size to improve parallelism and avoid shuffling large volumes of data.</li><li id="mrs_01_24088__li2725735103217">Save the clustering plan to the timeline in Avro metadata format.</li></ol>
+</li><li id="mrs_01_24088__li1121371682911">Execute clustering: Process the plan using an execution strategy to create new files and replace old files.<ol id="mrs_01_24088__ol165755487351"><li id="mrs_01_24088__li1257504873512">Read the clustering plan and get <strong id="mrs_01_24088__b1490010511278">clusteringGroups</strong> that marks the file groups to be clustered.</li><li id="mrs_01_24088__li8575164823517">Instantiate appropriate strategy class for each group using <strong id="mrs_01_24088__b19594744798">strategyParams</strong> (for example, <strong id="mrs_01_24088__b6267171021020">sortColumns</strong>) and apply the strategy to rewrite data.</li><li id="mrs_01_24088__li1575104819358">Create a <strong id="mrs_01_24088__b19924748111018">REPLACE</strong> commit and update the metadata in HoodieReplaceCommitMetadata.</li></ol>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_24088__section1143818436375"><h4 class="sectiontitle">How to Execute Clustering</h4><ol id="mrs_01_24088__ol148176202381"><li id="mrs_01_24088__li78171020163810">Executing clustering synchronously<p id="mrs_01_24088__p756679113717"><a name="mrs_01_24088__li78171020163810"></a><a name="li78171020163810"></a>Add the following configuration parameters when the data write operation is performed:</p>
+<p id="mrs_01_24088__p205668933711"><strong id="mrs_01_24088__b1524661810405">option("hoodie.clustering.inline", "true").</strong></p>
+<p id="mrs_01_24088__p1856619143715"><strong id="mrs_01_24088__b1724891854017">option("hoodie.clustering.inline.max.commits", "4").</strong></p>
+<p id="mrs_01_24088__p18566893374"><strong id="mrs_01_24088__b9249618174018">option("hoodie.clustering.plan.strategy.target.file.max.bytes", "1073741824").</strong></p>
+<p id="mrs_01_24088__p9566796370"><strong id="mrs_01_24088__b125091854012">option("hoodie.clustering.plan.strategy.small.file.limit", "629145600").</strong></p>
+<p id="mrs_01_24088__p19566798379"><strong id="mrs_01_24088__b1525171819407">option("hoodie.clustering.plan.strategy.sort.columns", "column1,column2").</strong></p>
+</li><li id="mrs_01_24088__li1277945983816">Executing clustering asynchronously<p id="mrs_01_24088__p12566169133712"><a name="mrs_01_24088__li1277945983816"></a><a name="li1277945983816"></a><strong id="mrs_01_24088__b18605122234018">spark-submit --master yarn --class org.apache.hudi.utilities.HoodieClusteringJob /opt/client/Hudi/hudi/lib/hudi-utilities*.jar --schedule --base-path &lt;table_path&gt; --table-name &lt;table_name&gt; --props /tmp/clusteringjob.properties --spark-memory 1g</strong></p>
+<p id="mrs_01_24088__p1566209173712"><strong id="mrs_01_24088__b11606112254012">spark-submit --master yarn --driver-memory 16G --executor-memory 12G --executor-cores 4 --num-executors 4 --class org.apache.hudi.utilities.HoodieClusteringJob /opt/client/Hudi/hudi/lib/hudi-utilities*.jar --base-path &lt;table_path&gt; --instant-time 20210605112954 --table-name &lt;table_name&gt; --props /tmp/clusteringjob.properties --spark-memory 12g</strong></p>
+<div class="note" id="mrs_01_24088__note16992611183915"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_24088__p91501658183916"><strong id="mrs_01_24088__b17845102971519">clusteringjob.properties</strong> contains custom clustering configurations.</p>
+<p id="mrs_01_24088__p21089546390">Example:</p>
+<p id="mrs_01_24088__p966931613396">hoodie.clustering.plan.strategy.target.file.max.bytes=1073741824</p>
+<p id="mrs_01_24088__p3669116133911">hoodie.clustering.inline.max.commits=4</p>
+</div></div>
+</li></ol>
+<p id="mrs_01_24088__p145671991378">For details, see <a href="mrs_01_24032.html">Configuration Reference</a>.</p>
+<div class="caution" id="mrs_01_24088__note10688193423917"><span class="cautiontitle"><img src="public_sys-resources/caution_3.0-en-us.png"> </span><div class="cautionbody"><ol id="mrs_01_24088__ol934414385397"><li id="mrs_01_24088__li1634443873911">By default, only the two partitions with the largest size are clustered. The clustering of other partitions depends on the custom strategy.</li><li id="mrs_01_24088__li534493814394">The sorting column of clustering cannot be null. This is restricted by Spark RDD.</li><li id="mrs_01_24088__li134414387392">If the value of <strong id="mrs_01_24088__b5885183214115">target.file.max.bytes</strong> is large, increase the value of <strong id="mrs_01_24088__b198742104114">--spark-memory</strong> to execute clustering. Otherwise, the executor memory overflow occurs.</li><li id="mrs_01_24088__li9344123893913">Currently, the clean mechanism cannot be used to delete junk files generated after the clustering fails.</li><li id="mrs_01_24088__li11344123812396">After the clustering, sizes of new files may be different, causing data skew.</li><li id="mrs_01_24088__li976583812347">Clustering and upsert operations cannot be performed at the same time.</li></ol>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24038.html">Data Management and Maintenance</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24089.html b/docs/mrs/component-operation-guide/mrs_01_24089.html
new file mode 100644
index 000000000..f1a226729
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+++ b/docs/mrs/component-operation-guide/mrs_01_24089.html
@@ -0,0 +1,17 @@
+<a name="mrs_01_24089"></a><a name="mrs_01_24089"></a>
+
+<h1 class="topictitle1">Cleaning</h1>
+<div id="body0000001104488268"><p id="mrs_01_24089__p161011423163211">Cleaning is used to delete data of versions that are no longer required.</p>
+<p id="mrs_01_24089__p8060118">Hudi uses the cleaner working in the background to continuously delete unnecessary data of old versions. You can configure <strong id="mrs_01_24089__b123561012153714">hoodie.cleaner.policy</strong> and <strong id="mrs_01_24089__b24381715193715">hoodie.cleaner.commits.retained</strong> to use different cleaning policies and determine the number of saved commits.</p>
+<p id="mrs_01_24089__p63519263813">You can use either of the following methods to perform cleaning:</p>
+<ul id="mrs_01_24089__ul1215713174116"><li id="mrs_01_24089__li015761164114">Using Hudi CLI<p id="mrs_01_24089__p173606340425"><a name="mrs_01_24089__li015761164114"></a><a name="li015761164114"></a><strong id="mrs_01_24089__b95931311194217">cleans run --sparkMaster yarn --hoodieConfigs 'hoodie.cleaner.policy=KEEP_LATEST_COMMITS,hoodie.cleaner.commits.retained=1,hoodie.cleaner.incremental.mode=false,hoodie.keep.max.commits=3,hoodie.keep.min.commits=2</strong>'</p>
+</li><li id="mrs_01_24089__li4491111214115">Using APIs<p id="mrs_01_24089__p18602411144314"><a name="mrs_01_24089__li4491111214115"></a><a name="li4491111214115"></a><strong id="mrs_01_24089__b5621808477">spark-submit --master yarn --jars /opt/client/Hudi/hudi/lib/hudi-client-common-</strong><em id="mrs_01_24089__i12255131124713">xxx</em><strong id="mrs_01_24089__b47498326472">.jar --class org.apache.hudi.utilities.HoodieCleaner /opt/client/Hudi/hudi/lib/hudi-utilities_</strong><em id="mrs_01_24089__i7463143394717">xxx</em><strong id="mrs_01_24089__b1474943294713">.jar --target-base-path /tmp/default/tb_test_mor</strong></p>
+</li></ul>
+<p id="mrs_01_24089__p1925630164318">For details about more cleaning parameters, see <a href="mrs_01_24032.html">Configuration Reference</a>.</p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24038.html">Data Management and Maintenance</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24090.html b/docs/mrs/component-operation-guide/mrs_01_24090.html
new file mode 100644
index 000000000..cc65bae78
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24090.html
@@ -0,0 +1,31 @@
+<a name="mrs_01_24090"></a><a name="mrs_01_24090"></a>
+
+<h1 class="topictitle1">Compaction</h1>
+<div id="body0000001150888227"><p id="mrs_01_24090__p19134313327">A compaction merges base and log files of MOR tables.</p>
+<p id="mrs_01_24090__p105421845144513">For MOR tables, data is stored in columnar Parquet files and row-based Avro files, updates are recorded in incremental files, and then a synchronous or asynchronous compaction is performed to generate new versions of columnar files. MOR tables can reduce data ingestion latency, so an asynchronous compaction that does not block ingestion is useful.</p>
+<p id="mrs_01_24090__p1586832294815">An asynchronous compaction is performed in the following two steps:</p>
+<ol id="mrs_01_24090__ol011982815456"><li id="mrs_01_24090__li21191028194514">Scheduling a compaction: A compaction is completed by the job of importing data into the data lake. In this step, Hudi scans partitions and selects the file slices to be compacted. A compaction plan is finally written to the Hudi timeline.</li><li id="mrs_01_24090__li111982811458">Executing a compaction: A separate process or thread reads the compaction plan and performs the compaction of file slices.</li></ol>
+<p id="mrs_01_24090__p105483140599">Compaction can be synchronous or asynchronous.</p>
+<p id="mrs_01_24090__p1238511794912"><strong id="mrs_01_24090__b144361261443">Synchronization modes</strong></p>
+<ul id="mrs_01_24090__ul10193165244619"><li id="mrs_01_24090__li151501225134916">When HoodieDeltaStreamer is used to write upstream data (Kafka/DFS) to a Hudi dataset, the default value of <strong id="mrs_01_24090__b128845827103946">--disable-compaction</strong> is <strong id="mrs_01_24090__b180824881803946">false</strong>, indicating that a compaction is automatically executed.</li><li id="mrs_01_24090__li7968057195215">Using DataSource to specify parameters when writing data<p id="mrs_01_24090__p96471259534"><a name="mrs_01_24090__li7968057195215"></a><a name="li7968057195215"></a><strong id="mrs_01_24090__b180214252229">option("hoodie.compact.inline", "true").</strong></p>
+<p id="mrs_01_24090__p09664599522"><strong id="mrs_01_24090__b180372572220">option("hoodie.compact.inline.max.delta.commits", "2").</strong></p>
+</li></ul>
+<p id="mrs_01_24090__p345116852217"><strong id="mrs_01_24090__b18866664317">Asynchronous modes</strong></p>
+<ul id="mrs_01_24090__ul154727812215"><li id="mrs_01_24090__li2471884227">Using Hudi CLI<p id="mrs_01_24090__p7471683220"><a name="mrs_01_24090__li2471884227"></a><a name="li2471884227"></a>Scheduling a compaction:</p>
+<p id="mrs_01_24090__p64718882212"><strong id="mrs_01_24090__b1430943082215">compaction schedule --hoodieConfigs 'hoodie.compaction.strategy=org.apache.hudi.table.action.compact.strategy.BoundedIOCompactionStrategy,hoodie.compaction.target.io=1,hoodie.compact.inline.max.delta.commits=1'</strong></p>
+<p id="mrs_01_24090__p11471787226">Executing a compaction:</p>
+<p id="mrs_01_24090__p347138152216"><strong id="mrs_01_24090__b176133472219">compaction run --parallelism 100 --sparkMemory 1g --retry 1 --compactionInstant 20210602101315 --hoodieConfigs 'hoodie.compaction.strategy=org.apache.hudi.table.action.compact.strategy.BoundedIOCompactionStrategy,hoodie.compaction.target.io=1,hoodie.compact.inline.max.delta.commits=1' --propsFilePath hdfs://hacluster/tmp/default/tb_test_mor/.hoodie/hoodie.properties --schemaFilePath /tmp/default/tb_test_mor/.hoodie/compact_tb_base.json</strong></p>
+</li><li id="mrs_01_24090__li5472108202218">Using APIs<p id="mrs_01_24090__p247215819229"><a name="mrs_01_24090__li5472108202218"></a><a name="li5472108202218"></a>Scheduling a compaction:</p>
+<p id="mrs_01_24090__p4472118112218"><strong id="mrs_01_24090__b56541656184718">spark-submit --master yarn --jars /opt/client/Hudi/hudi/lib/hudi-client-common-</strong><em id="mrs_01_24090__i18430105724719">xxx</em><strong id="mrs_01_24090__b065217221484">.jar --class org.apache.hudi.utilities.HoodieCompactor /opt/client/Hudi/hudi/lib/hudi-utilities_</strong><em id="mrs_01_24090__i522013233486">xxx</em><strong id="mrs_01_24090__b36521522154817">.jar --base-path /tmp/default/tb_test_mor --table-name tb_test_mor --parallelism 100 --spark-memory 1G --schema-file /tmp/default/tb_test_mor/.hoodie/compact_tb_base.json --instant-time 20210602141810 --schedule --strategy org.apache.hudi.table.action.compact.strategy.UnBoundedCompactionStrategy</strong></p>
+<p id="mrs_01_24090__p1647278202214">Executing a compaction:</p>
+<p id="mrs_01_24090__p247211832214"><strong id="mrs_01_24090__b7407204117485">spark-submit --master yarn --jars /opt/client/Hudi/hudi/lib/hudi-client-common-</strong><em id="mrs_01_24090__i97542204813">xxx</em><strong id="mrs_01_24090__b6483145417484">.jar --class org.apache.hudi.utilities.HoodieCompactor /opt/client/Hudi/hudi/lib/hudi-utilities_</strong><em id="mrs_01_24090__i169335511482">xxx</em><strong id="mrs_01_24090__b15483115418482">.jar --base-path /tmp/default/tb_test_mor --table-name tb_test_mor --parallelism 100 --spark-memory 1G --schema-file /tmp/default/tb_test_mor/.hoodie/compact_tb_base.json --instant-time 20210602141810</strong></p>
+<div class="note" id="mrs_01_24090__note1547218813222"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_24090__ul14721812223"><li id="mrs_01_24090__li847219820221">When using Hudi CLI to schedule a compaction, you do not need to specify <strong id="mrs_01_24090__b63522016141717">instant-time</strong>, which is automatically generated and returned by the system after the scheduling is successful. You only need to pass this parameter during execution.</li><li id="mrs_01_24090__li104724817222">For <strong id="mrs_01_24090__b135203817003946">schema-file</strong>, you need to manually edit the schema file of the current Hudi table and upload it to the server. You can use the schema in the latest <strong id="mrs_01_24090__b84824827503946">.commit</strong> file.</li></ul>
+</div></div>
+</li></ul>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24038.html">Data Management and Maintenance</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24091.html b/docs/mrs/component-operation-guide/mrs_01_24091.html
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+<a name="mrs_01_24091"></a><a name="mrs_01_24091"></a>
+
+<h1 class="topictitle1">Savepoint</h1>
+<div id="body0000001151048181"><p id="mrs_01_24091__p19662144143217">Savepoints are used to save and restore data of the customized version.</p>
+<p id="mrs_01_24091__p336735225013">Savepoints provided by Hudi can save different commits so that the cleaner program does not delete them. You can use rollback to restore them later.</p>
+<p id="mrs_01_24091__p1598129144819">Using Hudi CLI to manage savepoints includes:</p>
+<ul id="mrs_01_24091__ul1889957184912"><li id="mrs_01_24091__li289919774913">Creating a savepoint<p id="mrs_01_24091__p039437184916"><a name="mrs_01_24091__li289919774913"></a><a name="li289919774913"></a><strong id="mrs_01_24091__b10746203317494">savepoint create --commit &lt;commit_time&gt;</strong></p>
+</li><li id="mrs_01_24091__li7617111154917">Rolling back a savepoint<p id="mrs_01_24091__p1470455744917"><a name="mrs_01_24091__li7617111154917"></a><a name="li7617111154917"></a><strong id="mrs_01_24091__b145702036164916">savepoint rollback --savepoint &lt;savepoint_time&gt;</strong></p>
+</li></ul>
+<ul id="mrs_01_24091__ul18616171719491"><li id="mrs_01_24091__li12616171718498">Refreshing savepoints<p id="mrs_01_24091__p424658204915"><a name="mrs_01_24091__li12616171718498"></a><a name="li12616171718498"></a><strong id="mrs_01_24091__b8191339144912">savepoints refresh</strong></p>
+</li><li id="mrs_01_24091__li18172821144916">Viewing all existing savepoints<p id="mrs_01_24091__p1957625854919"><a name="mrs_01_24091__li18172821144916"></a><a name="li18172821144916"></a><strong id="mrs_01_24091__b1057154284912">savepoints show</strong></p>
+</li></ul>
+<div class="note" id="mrs_01_24091__note12783192401119"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_24091__p647818306114">MOR tables do not support savepoints.</p>
+</div></div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24038.html">Data Management and Maintenance</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_24093"></a><a name="mrs_01_24093"></a>
+
+<h1 class="topictitle1">Write Configuration</h1>
+<div id="body0000001104543692">
+<div class="tablenoborder"><a name="mrs_01_24093__table1815615307121"></a><a name="table1815615307121"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24093__table1815615307121" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Write configuration</caption><thead align="left"><tr id="mrs_01_24093__row9156123018123"><th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.1.2.4.1.1"><p id="mrs_01_24093__p6156133081212">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="40%" id="mcps1.3.1.2.4.1.2"><p id="mrs_01_24093__p541231385612">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.1.2.4.1.3"><p id="mrs_01_24093__p6156830181220">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24093__row9156183010125"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.4.1.1 "><p id="mrs_01_24093__p81562030181213">hoodie.datasource.write.table.name</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.2.4.1.2 "><p id="mrs_01_24093__p6413513135613">Specifies the name of the Hudi table to be written.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.4.1.3 "><p id="mrs_01_24093__p131567308126">None</p>
+</td>
+</tr>
+<tr id="mrs_01_24093__row51563309124"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.4.1.1 "><p id="mrs_01_24093__p31560300128">hoodie.datasource.write.operation</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.2.4.1.2 "><p id="mrs_01_24093__p202452375618">Specifies the operation type of writing the Hudi table. Currently, <strong id="mrs_01_24093__b236114062103458">upsert</strong>, <strong id="mrs_01_24093__b1661419444103458">delete</strong>, <strong id="mrs_01_24093__b2017857173103458">insert</strong>, and <strong id="mrs_01_24093__b1075950018103458">bulk_insert</strong> are supported.</p>
+<ul id="mrs_01_24093__ul10879549586"><li id="mrs_01_24093__li387915465811"><strong id="mrs_01_24093__b1357015316328">upsert</strong>: updates and inserts data.</li><li id="mrs_01_24093__li158796411585"><strong id="mrs_01_24093__b156814132329">delete</strong>: deletes data.</li><li id="mrs_01_24093__li487917413585"><strong id="mrs_01_24093__b164384371323">insert</strong>: inserts data.</li><li id="mrs_01_24093__li6880174125812"><strong id="mrs_01_24093__b739245436103458">bulk_insert</strong>: imports data during initial table creation. Do not <strong id="mrs_01_24093__b163144838103458">upsert</strong> or <strong id="mrs_01_24093__b181128810103458">insert</strong> during initial table creation.</li><li id="mrs_01_24093__li3405105352211"><strong id="mrs_01_24093__b299953222103458">insert_overwrite</strong>: performs insert and overwrite operations on static partitions.</li><li id="mrs_01_24093__li15566184612242"><strong id="mrs_01_24093__b1984535010323">insert_overwrite_table</strong>: performs insert and overwrite operations on dynamic partitions. It does not immediately delete the entire table or overwrite the table. Instead, it overwrites the metadata of the Hudi table logically, and Hudi deletes useless data through the clean mechanism. Its efficiency is higher than that of the combination of <strong id="mrs_01_24093__b724428004103458">bulk_insert</strong> and <strong id="mrs_01_24093__b1424758111103458">overwrite</strong>.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.4.1.3 "><p id="mrs_01_24093__p1156330101219">upsert</p>
+</td>
+</tr>
+<tr id="mrs_01_24093__row41561030111215"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.4.1.1 "><p id="mrs_01_24093__p1215711300126">hoodie.datasource.write.table.type</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.2.4.1.2 "><p id="mrs_01_24093__p132512316568">Specifies the Hudi table type. Once the table type is specified, this parameter cannot be modified. The value can be <strong id="mrs_01_24093__b1978129147103458">MERGE_ON_READ</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.4.1.3 "><p id="mrs_01_24093__p51571302122">COPY_ON_WRITE</p>
+</td>
+</tr>
+<tr id="mrs_01_24093__row151571030131215"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.4.1.1 "><p id="mrs_01_24093__p13157230171211">hoodie.datasource.write.precombine.field</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.2.4.1.2 "><p id="mrs_01_24093__p225142319561">Merges and reduplicates rows with the same key before write.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.4.1.3 "><p id="mrs_01_24093__p81571730121213">ts</p>
+</td>
+</tr>
+<tr id="mrs_01_24093__row1157173011129"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.4.1.1 "><p id="mrs_01_24093__p1515793014128">hoodie.datasource.write.payload.class</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.2.4.1.2 "><p id="mrs_01_24093__p1025423135620">Specifies the class used to merge the records to be updated and the updated records during update. This parameter can be customized. You can compile it yourself to implement your merge logic.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.4.1.3 "><p id="mrs_01_24093__p215773014128">org.apache.hudi.OverwriteWithLatestAvroPayload</p>
+</td>
+</tr>
+<tr id="mrs_01_24093__row19157133015123"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.4.1.1 "><p id="mrs_01_24093__p915715305127">hoodie.datasource.write.recordkey.field</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.2.4.1.2 "><p id="mrs_01_24093__p1125523105611">Specifies the primary key of the Hudi table. The Hudi table must have a unique primary key.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.4.1.3 "><p id="mrs_01_24093__p10157230121215">uuid</p>
+</td>
+</tr>
+<tr id="mrs_01_24093__row1615773020120"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.4.1.1 "><p id="mrs_01_24093__p8157430181212">hoodie.datasource.write.partitionpath.field</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.2.4.1.2 "><p id="mrs_01_24093__p32519232569">Specifies the partition key. This parameter is used together with <strong id="mrs_01_24093__b1061292593103458">hoodie.datasource.write.keygenerator.class</strong> to meet the requirements of different partition scenarios.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.4.1.3 "><p id="mrs_01_24093__p181571730181218">partitionpath</p>
+</td>
+</tr>
+<tr id="mrs_01_24093__row1683773264116"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.4.1.1 "><p id="mrs_01_24093__p1183793264116">hoodie.datasource.write.hive_style_partitioning</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.2.4.1.2 "><p id="mrs_01_24093__p425823155610">Specifies whether the partition mode is the same as that of Hive. You are advised to set this parameter to <strong id="mrs_01_24093__b831853266103458">true</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.4.1.3 "><p id="mrs_01_24093__p6837143214412">false</p>
+</td>
+</tr>
+<tr id="mrs_01_24093__row1579185616411"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.4.1.1 "><p id="mrs_01_24093__p1580256134112">hoodie.datasource.write.keygenerator.class</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.2.4.1.2 "><p id="mrs_01_24093__p1925823135613">Generates the primary key and partition mode when used together with <strong id="mrs_01_24093__b2069708678103458">hoodie.datasource.write.partitionpath.field</strong> and <strong id="mrs_01_24093__b1267890379103458">hoodie.datasource.write.recordkey.field</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.4.1.3 "><p id="mrs_01_24093__p1958035610412">org.apache.hudi.keygen.SimpleKeyGenerator</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24032.html">Configuration Reference</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24094.html b/docs/mrs/component-operation-guide/mrs_01_24094.html
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+<a name="mrs_01_24094"></a><a name="mrs_01_24094"></a>
+
+<h1 class="topictitle1">Configuration of Hive Table Synchronization</h1>
+<div id="body0000001104863506">
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24094__table185051622184618" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_24094__row65051322194610"><th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.1.1.4.1.1"><p id="mrs_01_24094__p85051622204616">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="40%" id="mcps1.3.1.1.4.1.2"><p id="mrs_01_24094__p12587142417017">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.1.1.4.1.3"><p id="mrs_01_24094__p1950582211464">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24094__row1150562264614"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24094__p45051422104610">hoodie.datasource.hive_sync.enable</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24094__p185876247012">Specifies whether to synchronize the Hudi table information to Hive MetaStore.</p>
+<div class="caution" id="mrs_01_24094__note26465111894"><span class="cautiontitle"> CAUTION: </span><div class="cautionbody"><p id="mrs_01_24094__p9646151112918">You are advised to set this parameter to <strong id="mrs_01_24094__b129510371432">true</strong> to use Hive to manage the Hudi table.</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24094__p7505152284613">false</p>
+</td>
+</tr>
+<tr id="mrs_01_24094__row1950522212462"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24094__p3505622194620">hoodie.datasource.hive_sync.database</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24094__p35875246013">Specifies the name of the database to be synchronized to Hive.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24094__p105051922104612">default</p>
+</td>
+</tr>
+<tr id="mrs_01_24094__row12505122212460"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24094__p2505222174610">hoodie.datasource.hive_sync.table</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24094__p155888241505">Specifies the name of the table to be synchronized to Hive. You are advised to set this parameter to the value of <strong id="mrs_01_24094__b2137660052104031">hoodie.datasource.write.table.name</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24094__p1450572274612">None</p>
+</td>
+</tr>
+<tr id="mrs_01_24094__row19505192211464"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24094__p8505132264616">hoodie.datasource.hive_sync.username</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24094__p95884243018">Specifies the username used for Hive synchronization.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24094__p75058222468">hive</p>
+</td>
+</tr>
+<tr id="mrs_01_24094__row13505422134616"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24094__p175057225461">hoodie.datasource.hive_sync.password</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24094__p17588152418012">Specifies the password used for Hive synchronization.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24094__p1550522211463">hive</p>
+</td>
+</tr>
+<tr id="mrs_01_24094__row65059223469"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24094__p7505112215467">hoodie.datasource.hive_sync.jdbcurl</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24094__p4588924301">Specifies the Hive JDBC URL for connection.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24094__p125051122184612">jdbc:hive2://localhost:10000</p>
+</td>
+</tr>
+<tr id="mrs_01_24094__row15505152220468"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24094__p65051022164614">hoodie.datasource.hive_sync.use_jdbc</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24094__p185886241504">Specifies whether to use Hive JDBC to connect to Hive for the Hudi table information synchronization. You are advised to set this parameter to <strong id="mrs_01_24094__b1136937221104031">false</strong>, which indicates that the JDBC connection configuration is invalid.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24094__p550515228467">true</p>
+</td>
+</tr>
+<tr id="mrs_01_24094__row17923101711598"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24094__p119248172596">hoodie.datasource.hive_sync.partition_fields</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24094__p95882244012">Specifies the Hive partition columns.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24094__p12924617125915">` `</p>
+</td>
+</tr>
+<tr id="mrs_01_24094__row984431814018"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24094__p48441218003">hoodie.datasource.hive_sync.partition_extractor_class</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24094__p2588122419017">Specifies the class used to extract Hudi partition field values and convert them into Hive partition columns.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24094__p48441418105">org.apache.hudi.hive.SlashEncodedDayPartitionValueExtractor</p>
+</td>
+</tr>
+<tr id="mrs_01_24094__row14423942308"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24094__p192716492018">hoodie.datasource.hive_sync.support_timestamp</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24094__p102711349804">If the Hudi table contains a field of the timestamp type, set this parameter to <strong id="mrs_01_24094__b1446901097104031">true</strong> to synchronize the timestamp type to the Hive metadata. The default value is <strong id="mrs_01_24094__b16662549153516">false</strong>, indicating that the timestamp type is converted to bigint during synchronization by default. In this case, an error may occur when you query a Hudi table that contains a field of the timestamp type using SQL statements.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24094__p142711849406">true</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24032.html">Configuration Reference</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24095.html b/docs/mrs/component-operation-guide/mrs_01_24095.html
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@@ -0,0 +1,131 @@
+<a name="mrs_01_24095"></a><a name="mrs_01_24095"></a>
+
+<h1 class="topictitle1">Index Configuration</h1>
+<div id="body0000001104383878">
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24095__table135891716241" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_24095__row176251110244"><th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.1.1.4.1.1"><p id="mrs_01_24095__p126256182415">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="40%" id="mcps1.3.1.1.4.1.2"><p id="mrs_01_24095__p17625121122411">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.1.1.4.1.3"><p id="mrs_01_24095__p16924162062518">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24095__row06256122414"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24095__p176252112240">hoodie.index.class</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24095__p13625121182418">Specifies the full path of user-defined index class. It must be a subclass of HoodieIndex and takes precedence over the <strong id="mrs_01_24095__b1101717533105228">hoodie.index.type</strong> configuration if specified.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24095__p1092442082513">""</p>
+</td>
+</tr>
+<tr id="mrs_01_24095__row562511112244"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24095__p136256114242">hoodie.index.type</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24095__p7625612241">Specifies the type of index to be used. The Bloom filter is used by default. The possible option is <strong id="mrs_01_24095__b59051745103210">[BLOOM | HBASE | GLOBAL_BLOOM | SIMPLE | GLOBAL_SIMPLE]</strong>. The Bloom filter eliminates the dependency on an external system and is stored in the footer of a Parquet data file.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24095__p910454283011">BLOOM</p>
+</td>
+</tr>
+<tr id="mrs_01_24095__row6625141162419"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24095__p86256152413">hoodie.index.bloom.num_entries</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24095__p76251219245">Specifies the number of entries to be stored in the Bloom filter. If the <strong id="mrs_01_24095__b1185717046105228">maxParquetFileSize</strong> is 128 MB and <strong id="mrs_01_24095__b1863006780105228">averageRecordSize</strong> is 1,024 bytes, a total of 130 KB records exist in a file. The default value (60000) is about half of this approximate value.</p>
+<div class="caution" id="mrs_01_24095__note842993204214"><span class="cautiontitle"> CAUTION: </span><div class="cautionbody"><p id="mrs_01_24095__p6429103124213">If the value is too low, a large number of false positives will occur, and index lookup will have to scan more files than it needs. If the value is too high, the size every data file will be increased linearly (about 4 KB for every 50000 entries).</p>
+</div></div>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24095__p17226115116314">60000</p>
+</td>
+</tr>
+<tr id="mrs_01_24095__row262518152419"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24095__p9625141142416">hoodie.index.bloom.fpp</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24095__p6625181112411">Specifies the allowed error rate based on the number of entries. This is used to calculate how many bits should be assigned for the Bloom filter and the number of hash functions. Generally, it is set to a small value (0.000000001 by default). You need to balance the disk space to reduce the false positive rate.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24095__p18650135873112">0.000000001</p>
+</td>
+</tr>
+<tr id="mrs_01_24095__row462517122419"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24095__p16625918248">hoodie.bloom.index.parallelism</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24095__p1562516120249">Specifies the parallelism for index lookup, which involves Spark Shuffle. By default, this is automatically computed based on input workload characteristics.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24095__p393735193220">0</p>
+</td>
+</tr>
+<tr id="mrs_01_24095__row186259119242"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24095__p362514114249">hoodie.bloom.index.prune.by.ranges</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24095__p76254182415">If this parameter is set to <strong id="mrs_01_24095__b1554777694105228">true</strong>, information is ranged from files to speed up index lookups. It is particularly useful if the key has a monotonously increasing prefix, such as timestamp.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24095__p675220913323">true</p>
+</td>
+</tr>
+<tr id="mrs_01_24095__row46251715244"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24095__p862514115247">hoodie.bloom.index.use.caching</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24095__p9626181132417">If this parameter is set to <strong id="mrs_01_24095__b1804281251105228">true</strong>, the input RDD is cached to speed up index lookups by reducing I/O for computing parallelism or affected partitions.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24095__p18966141413213">true</p>
+</td>
+</tr>
+<tr id="mrs_01_24095__row1362613116249"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24095__p062641102411">hoodie.bloom.index.use.treebased.filter</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24095__p1562616162415">If this parameter is set to <strong id="mrs_01_24095__b718096015105228">true</strong>, the file pruning optimization based on interval tree is enabled. This mode speeds up file pruning based on key ranges compared with the brute-force mode.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24095__p1425712120321">true</p>
+</td>
+</tr>
+<tr id="mrs_01_24095__row56261418245"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24095__p126267162411">hoodie.bloom.index.bucketized.checking</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24095__p1862661202410">If this parameter is set to <strong id="mrs_01_24095__b1490464203105228">true</strong>, the bucketized Bloom filtering is enabled. This reduces skew in the sort-based Bloom index lookup.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24095__p73135314320">true</p>
+</td>
+</tr>
+<tr id="mrs_01_24095__row2626141102411"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24095__p13626121192412">hoodie.bloom.index.keys.per.bucket</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24095__p0626217241">This parameter is applicable only when <strong id="mrs_01_24095__b2028929690105228">bloomIndexBucketizedChecking</strong> is enabled and the index type is <strong id="mrs_01_24095__b1769934876105228">BLOOM</strong>.</p>
+<p id="mrs_01_24095__p96263102411">This parameter controls the "bucket" size which tracks the number of record-key checks made against a single file and is the unit of work allocated to each partition performing the Bloom filter lookup. A higher value would amortize the fixed cost of reading the Bloom filter to memory.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24095__p138311957153215">10000000</p>
+</td>
+</tr>
+<tr id="mrs_01_24095__row13626217249"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24095__p262613113240">hoodie.bloom.index.update.partition.path</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24095__p10626161112419">This parameter is applicable only when the index type is <strong id="mrs_01_24095__b1462493706105228">GLOBAL_BLOOM</strong>.</p>
+<p id="mrs_01_24095__p7626181192410">If this parameter is set to <strong id="mrs_01_24095__b375682261105228">true</strong>, an update including the partition path of a record that already exists will result in the insertion of the incoming record into the new partition and the deletion of the original record in the old partition. If this parameter is set to <strong id="mrs_01_24095__b2046268733105228">false</strong>, the original record will only be updated in the old partition.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24095__p934217414331">false</p>
+</td>
+</tr>
+<tr id="mrs_01_24095__row962616116243"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24095__p1362618119244">hoodie.index.hbase.zkquorum</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24095__p86261810247">This parameter is applicable only when the index type is <strong id="mrs_01_24095__b1618363364105228">HBASE</strong>. HBase ZooKeeper quorum URL to be connected.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24095__p592512022512">Mandatory</p>
+</td>
+</tr>
+<tr id="mrs_01_24095__row162612119246"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24095__p362615119244">hoodie.index.hbase.zkport</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24095__p1862617172412">This parameter is applicable only when the index type is <strong id="mrs_01_24095__b966636104105228">HBASE</strong>. HBase ZooKeeper quorum port to be connected.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24095__p15925520162510">Mandatory</p>
+</td>
+</tr>
+<tr id="mrs_01_24095__row96264192414"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24095__p16626814249">hoodie.index.hbase.zknode.path</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24095__p13626101172410">This parameter is applicable only when the index type is <strong id="mrs_01_24095__b183937473105228">HBASE</strong>. It is the root znode that will contain all the znodes created and used by HBase.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24095__p6925920152510">Mandatory</p>
+</td>
+</tr>
+<tr id="mrs_01_24095__row19392598341"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24095__p1440959103420">hoodie.index.hbase.table</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24095__p140155943417">This parameter is applicable only when the index type is <strong id="mrs_01_24095__b272975232105228">HBASE</strong>. HBase table name to be used as an index. Hudi stores the <strong id="mrs_01_24095__b808170823105228">row_key</strong> and <strong id="mrs_01_24095__b1635004695105228">[partition_path, fileID, commitTime]</strong> mapping in the table.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24095__p1967615916357">Mandatory</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24032.html">Configuration Reference</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24096.html b/docs/mrs/component-operation-guide/mrs_01_24096.html
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@@ -0,0 +1,71 @@
+<a name="mrs_01_24096"></a><a name="mrs_01_24096"></a>
+
+<h1 class="topictitle1">Storage Configuration</h1>
+<div id="body0000001151103601">
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24096__table20171519532" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_24096__row1458655531"><th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.1.1.4.1.1"><p id="mrs_01_24096__p85805145315">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="40%" id="mcps1.3.1.1.4.1.2"><p id="mrs_01_24096__p35895105312">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.1.1.4.1.3"><p id="mrs_01_24096__p1758205205311">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24096__row7589517536"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24096__p175895175318">hoodie.parquet.max.file.size</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24096__p1584545320">Specifies the target size for Parquet files generated in Hudi write phases. For DFS, this parameter needs to be aligned with the underlying file system block size for optimal performance.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24096__p1422013571351">120 x 1024 x 1024 bytes</p>
+</td>
+</tr>
+<tr id="mrs_01_24096__row858354539"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24096__p758455532">hoodie.parquet.block.size</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24096__p458256538">Specifies the Parquet page size. Page is the unit of read in a Parquet file. In a block, pages are compressed separately.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24096__p15544192241414">120 x 1024 x 1024 bytes</p>
+</td>
+</tr>
+<tr id="mrs_01_24096__row11581510533"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24096__p13582595317">hoodie.parquet.compression.ratio</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24096__p1858105105315">Specifies the expected compression ratio of Parquet data when Hudi attempts to adjust the size of a new Parquet file. If the size of the file generated by <strong id="mrs_01_24096__b59832723710590">bulk_insert</strong> is smaller than the expected size, increase the value.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24096__p145835175319">0.1</p>
+</td>
+</tr>
+<tr id="mrs_01_24096__row3588511533"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24096__p95815514532">hoodie.parquet.compression.codec</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24096__p10584505310">Specifies the name of the Parquet compression encoding or decoding mode. The default value is <strong id="mrs_01_24096__b1787554914370">gzip</strong>. Possible options are <strong id="mrs_01_24096__b104983853210590">[gzip | snappy | uncompressed | lzo]</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24096__p7587535315">gzip</p>
+</td>
+</tr>
+<tr id="mrs_01_24096__row2058158534"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24096__p1458165205315">hoodie.logfile.max.size</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24096__p14584505319">Specifies the maximum size of LogFile. It is the maximum size allowed for a log file before it is rolled over to the next version.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24096__p55813505310">1GB</p>
+</td>
+</tr>
+<tr id="mrs_01_24096__row1858655531"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24096__p758185145311">hoodie.logfile.data.block.max.size</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24096__p1058457535">Specifies the maximum size of a LogFile data block. It is the maximum size allowed for a single data block to be appended to a log file. It helps to ensure that the data appended to the log file is broken up into sizable blocks to prevent OOM errors. The size should be greater than the JVM memory.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24096__p1458353531">256MB</p>
+</td>
+</tr>
+<tr id="mrs_01_24096__row11580515533"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24096__p65815555310">hoodie.logfile.to.parquet.compression.ratio</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24096__p358754535">Specifies the expected additional compression when records move from log files to Parquet files. It is used for MOR tables to send inserted content into log files and control the size of compacted Parquet files.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24096__p1258750539">0.35</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24032.html">Configuration Reference</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24097.html b/docs/mrs/component-operation-guide/mrs_01_24097.html
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+<a name="mrs_01_24097"></a><a name="mrs_01_24097"></a>
+
+<h1 class="topictitle1">Compaction and Cleaning Configurations</h1>
+<div id="body0000001151303635">
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24097__table12264191413319" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_24097__row73071514830"><th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.1.1.4.1.1"><p id="mrs_01_24097__p73073148310">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="40%" id="mcps1.3.1.1.4.1.2"><p id="mrs_01_24097__p123071714832">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.1.1.4.1.3"><p id="mrs_01_24097__p2307191416317">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24097__row7357132775414"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24097__p115401619297">hoodie.clean.automatic</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24097__p1335802714543">Specifies whether to perform automatic cleanup.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24097__p83581327175414">true</p>
+</td>
+</tr>
+<tr id="mrs_01_24097__row13071614938"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24097__p3307914332">hoodie.cleaner.policy</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24097__p93071514236">Specifies the cleaning policy to be used. Hudi will delete the Parquet file of an old version to reclaim space. Any query or computation referring to this version of the file will fail. You are advised to ensure that the data retention time exceeds the maximum query execution time.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24097__p143072141536">KEEP_LATEST_COMMITS</p>
+</td>
+</tr>
+<tr id="mrs_01_24097__row330718141636"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24097__p18307514132">hoodie.cleaner.commits.retained</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24097__p14307514238">Specifies the number of commits to retain. Data will be retained for <strong id="mrs_01_24097__b84038483111110">num_of_commits * time_between_commits</strong> (scheduled). This also directly translates into the number of datasets can be incrementally pulled.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24097__p103077140311">10</p>
+</td>
+</tr>
+<tr id="mrs_01_24097__row183072014934"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24097__p530716149313">hoodie.keep.min.commits, hoodie.keep.max.commits</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24097__p19307131411316">Each commit is a small file in the <strong id="mrs_01_24097__b121339242811110">.hoodie</strong> directory. DFS typically does not support a large number of small files, so Hudi archives older commits into a sequential log. A commit is published atomically by renaming the commit file.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24097__p3307191418316">20</p>
+</td>
+</tr>
+<tr id="mrs_01_24097__row193071914431"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24097__p93071614434">hoodie.commits.archival.batch</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24097__p16307514737">This parameter controls the number of commit instants read in memory as a batch and archived together.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24097__p23071414938">10</p>
+</td>
+</tr>
+<tr id="mrs_01_24097__row7307171410319"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24097__p33073141313">hoodie.parquet.small.file.limit</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24097__p18307111418313">The value must be smaller than that of <strong id="mrs_01_24097__b205291533811110">maxFileSize</strong>. If <strong id="mrs_01_24097__b14459945811110">maxFileSize</strong> is set to <strong id="mrs_01_24097__b3008566311110">0</strong>, this function is disabled. Small files always exist because of the large number of insert records in a partition of batch processing. Hudi provides an option to solve the problem of small files by masking inserts into this partition as updates to existing small files. The size here is the minimum file size that is considered as a "small file size".</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24097__p177874554380">104857600 byte</p>
+</td>
+</tr>
+<tr id="mrs_01_24097__row53071414630"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24097__p1730718141934">hoodie.copyonwrite.insert.split.size</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24097__p153077149312">Specifies the parallelism for inserting and writing data. It is the number of inserts grouped for a single partition. Writing out 100 MB files with at least 1 KB records means 100 KB records exist in each file. Overprovision to 500 KB by default. To improve insert latency, adjust the value to match the number of records in a single file. If it is set to a smaller value, the file size will shrink (especially when <strong id="mrs_01_24097__b197141114411110">compactionSmallFileSize</strong> is set to <strong id="mrs_01_24097__b155681211111110">0</strong>).</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24097__p830710141639">500000</p>
+</td>
+</tr>
+<tr id="mrs_01_24097__row3307161414313"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24097__p730712145311">hoodie.copyonwrite.insert.auto.split</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24097__p1330718141236">Specifies whether Hudi dynamically computes <strong id="mrs_01_24097__b127378687711110">insertSplitSize</strong> based on the last 24 commit metadata. This function is disabled by default.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24097__p1730714141135">true</p>
+</td>
+</tr>
+<tr id="mrs_01_24097__row1030718149314"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24097__p153071144310">hoodie.copyonwrite.record.size.estimate</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24097__p13074144315">Specifies the average record size. If specified, Hudi will use this parameter and not compute dynamically based on the last 24 commit metadata. There is no default value. This is critical in computing the insert parallelism and packing inserts into small files.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24097__p16308131415315">1024</p>
+</td>
+</tr>
+<tr id="mrs_01_24097__row1430819141230"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24097__p9308714535">hoodie.compact.inline</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24097__p930811147316">If this parameter is set to <strong id="mrs_01_24097__b74176561511110">true</strong>, compaction is triggered by the ingestion itself right after a commit or delta commit action as part of <strong id="mrs_01_24097__b169965193911110">insert</strong>, <strong id="mrs_01_24097__b40710908611110">upsert</strong>, or <strong id="mrs_01_24097__b183620034011110">bulk_insert</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24097__p83081914539">false</p>
+</td>
+</tr>
+<tr id="mrs_01_24097__row930816141134"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24097__p1930812141532">hoodie.compact.inline.max.delta.commits</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24097__p430813141939">Specifies the maximum number of delta commits to be retained before inline compression is triggered.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24097__p7308161420312">5</p>
+</td>
+</tr>
+<tr id="mrs_01_24097__row123081514337"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24097__p8308171416316">hoodie.compaction.lazy.block.read</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24097__p123087141233">When <strong id="mrs_01_24097__b63305130711110">CompactedLogScanner</strong> merges all log files, this parameter helps to choose whether the logblocks should be read lazily. Set it to <strong id="mrs_01_24097__b122838123511110">true</strong> to use I/O-intensive lazy block read (low memory usage) or <strong id="mrs_01_24097__b26016477211110">false</strong> to use memory-intensive immediate block read (high memory usage).</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24097__p6308914231">false</p>
+</td>
+</tr>
+<tr id="mrs_01_24097__row1930831412316"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24097__p113089146312">hoodie.compaction.reverse.log.read</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24097__p130871416313"><strong id="mrs_01_24097__b125657732911110">HoodieLogFormatReader</strong> reads a log file in the forward direction from <strong id="mrs_01_24097__b206283163811110">pos=0</strong> to <strong id="mrs_01_24097__b86246597111110">pos=file_length</strong>. If this parameter is set to <strong id="mrs_01_24097__b173226601911110">true</strong>, Reader reads a log file in reverse direction from <strong id="mrs_01_24097__b58113614311110">pos=file_length</strong> to <strong id="mrs_01_24097__b158413366311110">pos=0</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24097__p10308814637">false</p>
+</td>
+</tr>
+<tr id="mrs_01_24097__row1230820142037"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24097__p1530813141931">hoodie.cleaner.parallelism</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24097__p230841415314">Increase this parameter if cleaning becomes slow.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24097__p530820140317">200</p>
+</td>
+</tr>
+<tr id="mrs_01_24097__row1430819141437"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24097__p183081214239">hoodie.compaction.strategy</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24097__p1530811414317">Determines which file groups are selected for compaction during each compaction run. By default, Hudi selects the log file with most accumulated unmerged data.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24097__p14559131053910">org.apache.hudi.table.action.compact.strategy.</p>
+<p id="mrs_01_24097__p8559510183915">LogFileSizeBasedCompactionStrategy</p>
+</td>
+</tr>
+<tr id="mrs_01_24097__row193088144320"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24097__p230816141539">hoodie.compaction.target.io</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24097__p1630811149317">Specifies the number of MBs to spend during compaction run for <strong id="mrs_01_24097__b19229180011110">LogFileSizeBasedCompactionStrategy</strong>. This parameter can limit ingestion latency when compaction is run in inline mode.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24097__p1871572615396">500 * 1024 MB</p>
+</td>
+</tr>
+<tr id="mrs_01_24097__row123082141736"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24097__p93086145311">hoodie.compaction.daybased.target</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24097__p1830881412310">Used by <strong id="mrs_01_24097__b184788985911110">org.apache.hudi.io.compact.strategy.DayBasedCompactionStrategy</strong> to denote the number of latest partitions to compact during a compaction run.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24097__p93081214930">10</p>
+</td>
+</tr>
+<tr id="mrs_01_24097__row13308151413316"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24097__p630841413310">hoodie.compaction.payload.class</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24097__p113083141837">It needs to be same as class used during insert or upsert. Similar to writing, compaction also uses the record payload class to merge records in the log against each other, merge again with the base file, and produce the final record to be written after compaction.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24097__p12308314437">org.apache.hudi.common.model.OverwriteWithLatestAvroPayload</p>
+</td>
+</tr>
+<tr id="mrs_01_24097__row938815599578"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24097__p1638875917578">hoodie.schedule.compact.only.inline</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24097__p15388105965711">Specifies whether to generate only a compression plan during a write operation. This parameter is valid only when <strong id="mrs_01_24097__b66692012145216">hoodie.compact.inline</strong> is set to <strong id="mrs_01_24097__b5521623195216">true</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24097__p438820592573">false</p>
+</td>
+</tr>
+<tr id="mrs_01_24097__row1680314475817"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24097__p880310414588">hoodie.run.compact.only.inline</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24097__p188031435811">Specifies whether to perform only the compression operation when the <strong id="mrs_01_24097__b9421201495717">run compaction</strong> command is executed using SQL. If the compression plan does not exist, no action is needed.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24097__p1580318435819">false</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24032.html">Configuration Reference</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24098.html b/docs/mrs/component-operation-guide/mrs_01_24098.html
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@@ -0,0 +1,39 @@
+<a name="mrs_01_24098"></a><a name="mrs_01_24098"></a>
+
+<h1 class="topictitle1">Reading COW Table Views</h1>
+<div id="body0000001151103117"><ul id="mrs_01_24098__ul540514510288"><li id="mrs_01_24098__li134051151102812">Reading the real-time view (using Hive and SparkSQL as an example): Directly read the Hudi table stored in Hive.<pre class="screen" id="mrs_01_24098__screen4363241182314">select count(*) from test;</pre>
+</li></ul>
+<ul id="mrs_01_24098__ul925257192812"><li id="mrs_01_24098__li192510576282">Reading the real-time view (using the Spark DataSource API as an example): This is similar to reading a common DataSource table.<p id="mrs_01_24098__p1547010511504"><a name="mrs_01_24098__li192510576282"></a><a name="li192510576282"></a><strong id="mrs_01_24098__b1009373132112239">QUERY_TYPE_OPT_KEY</strong> must be set to <strong id="mrs_01_24098__b96132044112239">QUERY_TYPE_SNAPSHOT_OPT_VAL</strong>.</p>
+<pre class="screen" id="mrs_01_24098__screen13578121265919">spark.read.format("hudi")
+.option(QUERY_TYPE_OPT_KEY, QUERY_TYPE_SNAPSHOT_OPT_VAL) // Set the query type to the real-time view.
+.load("/tmp/default/cow_bugx/*/*/*/*") // Set the path of the Hudi table to be read. The current table has three levels of partitions.
+.createTempView("mycall")
+spark.sql("select * from mycall").show(100)</pre>
+</li></ul>
+<ul id="mrs_01_24098__ul1269011722918"><li id="mrs_01_24098__li569097132910">Reading the incremental view (using Hive as an example):<pre class="screen" id="mrs_01_24098__screen1795642015258">set hoodie.test.consume.mode=INCREMENTAL;  // Specify the incremental reading mode.
+set hoodie.test.consume.max.commits=3;  // Specify the maximum number of commits to be consumed.
+set hoodie.test.consume.start.timestamp=20201227153030;  // Specify the initial incremental pull commit.
+select count(*) from default.test where `_hoodie_commit_time`&gt;'20201227153030'; // This filtering condition must be added, and the value is the initial incremental pull commit.</pre>
+</li></ul>
+<ul id="mrs_01_24098__ul977918108294"><li id="mrs_01_24098__li63941151115610">Reading the incremental view (using Spark SQL as an example):<pre class="screen" id="mrs_01_24098__screen1055905819578">set hoodie.test.consume.mode=INCREMENTAL;  // Specify the incremental reading mode.
+set hoodie.test.consume.start.timestamp=20201227153030;  // Specify the initial incremental pull commit.
+set hoodie.test.consume.end.timestamp=20210308212318;  // Specify the end commit of the incremental pull. If this parameter is not specified, the latest commit is used.
+select count(*) from default.test where `_hoodie_commit_time`&gt;'20201227153030'; // This filtering condition must be added, and the value is the initial incremental pull commit.</pre>
+</li><li id="mrs_01_24098__li1177916103295">Reading the incremental view (using the Spark DataSource API as an example):<p id="mrs_01_24098__p1250192118478"><a name="mrs_01_24098__li1177916103295"></a><a name="li1177916103295"></a><strong id="mrs_01_24098__b111967639112239">QUERY_TYPE_OPT_KEY</strong> must be set to <strong id="mrs_01_24098__b1465126722112239">QUERY_TYPE_INCREMENTAL_OPT_VAL</strong>.</p>
+<pre class="screen" id="mrs_01_24098__screen1084032313466">spark.read.format("hudi")  
+.option(QUERY_TYPE_OPT_KEY, QUERY_TYPE_INCREMENTAL_OPT_VAL) // Set the query type to the incremental mode.
+.option(BEGIN_INSTANTTIME_OPT_KEY, "20210308212004")  // Specify the initial incremental pull commit.
+.option(END_INSTANTTIME_OPT_KEY, "20210308212318")  //: Specify the end commit of the incremental pull.
+.load("/tmp/default/cow_bugx/*/*/*/*")  // Set the path of the Hudi table to be read. The current table has three levels of partitions.
+.createTempView("mycall")  // Register as a Spark temporary table.
+spark.sql("select * from mycall where `_hoodie_commit_time`&gt;'20210308211131'")// Start the query. The statement is the same as the Hive incremental query statement.
+.show(100, false)</pre>
+</li></ul>
+<ul id="mrs_01_24098__ul6286162417290"><li id="mrs_01_24098__li172868247297">Reading the read-optimized view: The read-optimized view of COW tables is equivalent to the real-time view.</li></ul>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24037.html">Read</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24099.html b/docs/mrs/component-operation-guide/mrs_01_24099.html
new file mode 100644
index 000000000..c063228ca
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24099.html
@@ -0,0 +1,33 @@
+<a name="mrs_01_24099"></a><a name="mrs_01_24099"></a>
+
+<h1 class="topictitle1">Reading MOR Table Views</h1>
+<div id="body0000001104703162"><p id="mrs_01_24099__p106171637185916">After the MOR table is synchronized to Hive, the following two tables are synchronized to Hive: <em id="mrs_01_24099__i1643884812120">Table name</em><strong id="mrs_01_24099__b164431848013">_rt</strong> and <em id="mrs_01_24099__i244420488117">Table name</em><strong id="mrs_01_24099__b4444348715">_ro</strong>. The table suffixed with <strong id="mrs_01_24099__b2099087475112413">rt</strong> indicates the real-time view, and the table suffixed with <strong id="mrs_01_24099__b823526155112413">ro</strong> indicates the read-optimized view. For example, the name of the Hudi table to be synchronized to Hive is <strong id="mrs_01_24099__b380102999112413">test</strong>. After the table is synchronized to Hive, two more tables <strong id="mrs_01_24099__b1405481880112413">test_rt</strong> and <strong id="mrs_01_24099__b393048769112413">test_ro</strong> are generated in the Hive table.</p>
+<ul id="mrs_01_24099__ul4185140152916"><li id="mrs_01_24099__li21851140172919">Reading the real-time view (using Hive and SparkSQL as an example): Directly read the Hudi table with suffix <strong id="mrs_01_24099__b95101752715">_rt</strong> stored in Hive.<pre class="screen" id="mrs_01_24099__screen972515233397">select count(*) from test_rt;</pre>
+</li></ul>
+<ul id="mrs_01_24099__ul57469424291"><li id="mrs_01_24099__li17746642162910">Reading the real-time view (using the Spark DataSource API as an example): The operations are the same as those for the COW table. For details, see the operations for the COW table.</li></ul>
+<ul id="mrs_01_24099__ul159951244192915"><li id="mrs_01_24099__li1899504417296">Reading the incremental view (using Hive as an example):<pre class="screen" id="mrs_01_24099__screen195351156193917">set hive.input.format=org.apache.hudi.hadoop.hive.HoodieCombineHiveInputFormat; // This parameter does not need to be specified for SparkSQL.
+set hoodie.test.consume.mode=INCREMENTAL;
+set hoodie.test.consume.max.commits=3;
+set hoodie.test.consume.start.timestamp=20201227153030;
+select count(*) from default.test_rt where `_hoodie_commit_time`&gt;'20201227153030';</pre>
+</li></ul>
+<ul id="mrs_01_24099__ul9588748132916"><li id="mrs_01_24099__li2028420591801">Reading the incremental view (using Spark SQL as an example):<pre class="screen" id="mrs_01_24099__screen5280163515211">set hoodie.test.consume.mode=INCREMENTAL;
+set hoodie.test.consume.start.timestamp=20201227153030;  // Specify the initial incremental pull commit.
+set hoodie.test.consume.end.timestamp=20210308212318;  // Specify the end commit of the incremental pull. If this parameter is not specified, the latest commit is used.
+select count(*) from default.test_rt where `_hoodie_commit_time`&gt;'20201227153030';</pre>
+</li><li id="mrs_01_24099__li257317255910">Incremental view (using the Spark DataSource API as an example): The operations are the same as those for the COW table. For details, see the operations for the COW table.</li><li id="mrs_01_24099__li18588134832918">Reading the read-optimized view (using Hive and SparkSQL as an example): Directly read the Hudi table with suffix <strong id="mrs_01_24099__b135425813114">_ro</strong> stored in Hive.<pre class="screen" id="mrs_01_24099__screen15734412573">select count(*) from test_ro;</pre>
+</li></ul>
+<ul id="mrs_01_24099__ul144968013016"><li id="mrs_01_24099__li104965011301">Reading the read-optimized view (using the Spark DataSource API as an example): This is similar to reading a common DataSource table.<p id="mrs_01_24099__p9538155218515"><a name="mrs_01_24099__li104965011301"></a><a name="li104965011301"></a><strong id="mrs_01_24099__b160035390112413">QUERY_TYPE_OPT_KEY</strong> must be set to <strong id="mrs_01_24099__b1598341988112413">QUERY_TYPE_READ_OPTIMIZED_OPT_VAL</strong>.</p>
+<pre class="screen" id="mrs_01_24099__screen1169693015719">spark.read.format("hudi")
+.option(QUERY_TYPE_OPT_KEY, QUERY_TYPE_READ_OPTIMIZED_OPT_VAL) // Set the query type to the read-optimized view.
+.load("/tmp/default/mor_bugx/*/*/*/*") // Set the path of the Hudi table to be read. The current table has three levels of partitions.
+.createTempView("mycall")
+spark.sql("select * from mycall").show(100)</pre>
+</li></ul>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24037.html">Read</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24100.html b/docs/mrs/component-operation-guide/mrs_01_24100.html
new file mode 100644
index 000000000..66026cd33
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24100.html
@@ -0,0 +1,19 @@
+<a name="mrs_01_24100"></a><a name="mrs_01_24100"></a>
+
+
+  <h1 class="topictitle1">Using the Hudi Client</h1>
+
+  <div id="body0000001151303147"><p id="mrs_01_24100__p8060118"></p>
+</div>
+
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_24063.html">Operating a Hudi Table Using hudi-cli.sh</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24062.html">Basic Operations</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24101.html b/docs/mrs/component-operation-guide/mrs_01_24101.html
new file mode 100644
index 000000000..2ed7db985
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24101.html
@@ -0,0 +1,11 @@
+<a name="mrs_01_24101"></a><a name="mrs_01_24101"></a>
+
+<h1 class="topictitle1">Performance Tuning Methods</h1>
+<div id="body0000001104383398"><p id="mrs_01_24101__p0990184513507">In the current version, Spark is recommended for Hudi write operations. Therefore, the tuning methods of Hudi are similar to those of Spark. For details, see <a href="mrs_01_1974.html">Spark2x Performance Tuning</a>.</p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24039.html">Hudi Performance Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24102.html b/docs/mrs/component-operation-guide/mrs_01_24102.html
new file mode 100644
index 000000000..24cfa5b4a
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24102.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_24102"></a><a name="mrs_01_24102"></a>
+
+<h1 class="topictitle1">Recommended Resource Configuration</h1>
+<div id="body0000001104863014"><ul id="mrs_01_24102__ul982039201217"><li id="mrs_01_24102__li782120981215">For MOR tables:<p id="mrs_01_24102__p181013444418"><a name="mrs_01_24102__li782120981215"></a><a name="li782120981215"></a>The essence of MOR tables is to write incremental files, so the tuning is based on the data size (dataSize) of Hudi.</p>
+<p id="mrs_01_24102__p13942143615456">If dataSize is only several GBs, you are advised to run Spark in single-node mode or run Spark in Yarn mode with only one container allocated.</p>
+<p id="mrs_01_24102__p1466162814616">Parallelism (<strong id="mrs_01_24102__b1451547392113710">p</strong>) of programs for importing data to the lake: <strong id="mrs_01_24102__b1195564392113710">p</strong> = dataSize/128 MB. The number of cores allocated to programs must be the same as the value of <strong id="mrs_01_24102__b1270826024113710">p</strong>. It is recommended that the ratio of the memory size to the number of cores be greater than 1.5:1. That is, a core is configured with 1.5 GB memory. For off-heap memory, it is recommended that the ratio of the memory size to the number of cores be greater than 0.5:1.</p>
+</li><li id="mrs_01_24102__li181283144121">For COW tables:<p id="mrs_01_24102__p209451244134919"><a name="mrs_01_24102__li181283144121"></a><a name="li181283144121"></a>The principle of COW tables is to rewrite the original data. Therefore, dataSize and the number of rewritten files must be considered during tuning. Generally, more cores lead to better performance. The number of cores is directly related to the number of rewritten files. The settings of parallelism (<strong id="mrs_01_24102__b1445607041113710">p</strong>) and memory size are similar to those of MOR tables.</p>
+</li></ul>
+<p id="mrs_01_24102__p8060118"></p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24039.html">Hudi Performance Tuning</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24103.html b/docs/mrs/component-operation-guide/mrs_01_24103.html
new file mode 100644
index 000000000..0cb730fc5
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24103.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_24103"></a><a name="mrs_01_24103"></a>
+
+<h1 class="topictitle1">Hudi Table Schema</h1>
+<div id="body0000001151689653"><p id="mrs_01_24103__p9737153715472">When writing data, Hudi generates a Hudi table based on attributes such as the storage path, table name, and partition structure.</p>
+<p id="mrs_01_24103__p959999165715">Hudi table data files can be stored in the OS file system or distributed file system such as HDFS. To ensure analysis performance and data reliability, HDFS is generally used for storage. Using HDFS as an example, Hudi table storage files are classified into two types.</p>
+<ul id="mrs_01_24103__ul1075141520579"><li id="mrs_01_24103__li1375151518570">The <strong id="mrs_01_24103__b9860171315512">.hoodie</strong> folder stores the log files related to file merging.<p id="mrs_01_24103__p64365554166"><span><img id="mrs_01_24103__image9726256111614" src="en-us_image_0000001439498673.png"></span></p>
+</li><li id="mrs_01_24103__li6456164718589">The path containing <strong id="mrs_01_24103__b123981242120">_partition_key</strong> stores actual data files and metadata by partition.<p id="mrs_01_24103__p8060118">Hudi data files of are stored in Parquet base files and Avro log files.</p>
+<p id="mrs_01_24103__p1725884713176"><span><img id="mrs_01_24103__image125116487171" src="en-us_image_0000001439380285.png"></span></p>
+</li></ul>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24062.html">Basic Operations</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24105.html b/docs/mrs/component-operation-guide/mrs_01_24105.html
new file mode 100644
index 000000000..52306fdcb
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24105.html
@@ -0,0 +1,237 @@
+<a name="mrs_01_24105"></a><a name="mrs_01_24105"></a>
+
+<h1 class="topictitle1">ClickHouse Table Engine Overview</h1>
+<div id="body0000001106279954"><div class="section" id="mrs_01_24105__section2024214115335"><h4 class="sectiontitle">Background</h4><p id="mrs_01_24105__p1073812512346">Table engines play a key role in ClickHouse to determine:</p>
+<ul id="mrs_01_24105__ul182181558411"><li id="mrs_01_24105__li192189510418">Where to write and read data</li><li id="mrs_01_24105__li110714794113">Supported query modes</li><li id="mrs_01_24105__li1689498164119">Whether concurrent data access is supported</li><li id="mrs_01_24105__li7899410194114">Whether indexes can be used</li><li id="mrs_01_24105__li12648412174120">Whether multi-thread requests can be executed</li><li id="mrs_01_24105__li277344164710">Parameters used for data replication</li></ul>
+<p id="mrs_01_24105__p1318438195119">This section describes MergeTree and Distributed engines, which are the most important and frequently used ClickHouse table engines.</p>
+</div>
+<div class="section" id="mrs_01_24105__section3291324175410"><h4 class="sectiontitle">MergeTree Family</h4><p id="mrs_01_24105__p1649552920548">Engines of the MergeTree family are the most universal and functional table engines for high-load tasks. They have the following key features:</p>
+<ul id="mrs_01_24105__ul579062791417"><li id="mrs_01_24105__li47901127161411">Data is stored by partition and block based on partitioning keys.</li><li id="mrs_01_24105__li0433829131412">Data index is sorted based on primary keys and the <strong id="mrs_01_24105__b1078212221171">ORDER BY</strong> sorting keys.</li><li id="mrs_01_24105__li14910203011415">Data replication is supported by table engines prefixed with Replicated.</li><li id="mrs_01_24105__li110533318147">Data sampling is supported.</li></ul>
+<p id="mrs_01_24105__p133441194144">When data is written, a table with this type of engine divides data into different folders based on the partitioning key. Each column of data in the folder is an independent file. A file that records serialized index sorting is created. This structure reduces the volume of data to be retrieved during data reading, greatly improving query efficiency.</p>
+<ul id="mrs_01_24105__ul750073312167"><li id="mrs_01_24105__li4501633171620">MergeTree<div class="p" id="mrs_01_24105__p1812885162115"><a name="mrs_01_24105__li4501633171620"></a><a name="li4501633171620"></a><strong id="mrs_01_24105__b3455344123610">Syntax for creating a table</strong>:<pre class="screen" id="mrs_01_24105__screen13755115922114">CREATE TABLE [IF NOT EXISTS] [db.]table_name [ON CLUSTER cluster]
+(
+    name1 [type1] [DEFAULT|MATERIALIZED|ALIAS expr1] [TTL expr1],
+    name2 [type2] [DEFAULT|MATERIALIZED|ALIAS expr2] [TTL expr2],
+    ...
+    INDEX index_name1 expr1 TYPE type1(...) GRANULARITY value1,
+    INDEX index_name2 expr2 TYPE type2(...) GRANULARITY value2
+) <strong id="mrs_01_24105__b1745917632214">ENGINE = MergeTree</strong>()
+ORDER BY expr
+[PARTITION BY expr]
+[PRIMARY KEY expr]
+[SAMPLE BY expr]
+[TTL expr [DELETE|TO DISK 'xxx'|TO VOLUME 'xxx'], ...]
+[SETTINGS name=value, ...]</pre>
+</div>
+<p id="mrs_01_24105__p18988104416214"><strong id="mrs_01_24105__b12758265222">Example</strong>:</p>
+<pre class="screen" id="mrs_01_24105__screen898817443211">CREATE TABLE default.test (
+  name1 DateTime,
+  name2 String,
+  name3 String,
+  name4 String,
+  name5 Date,
+  ...
+) <strong id="mrs_01_24105__b14988194432117">ENGINE = MergeTree</strong>() 
+<strong id="mrs_01_24105__b1498817449219">PARTITION BY</strong> toYYYYMM(name5)
+<strong id="mrs_01_24105__b3988144172115">ORDER BY</strong> (name1, name2) 
+<strong id="mrs_01_24105__b1598814410219">SETTINGS </strong><strong id="mrs_01_24105__b15988044152120">index_granularity</strong> = 8192</pre>
+<div class="p" id="mrs_01_24105__p1198820444216">Parameters in the example are described as follows:<ul id="mrs_01_24105__ul1198819440219"><li id="mrs_01_24105__li16988154416213"><strong id="mrs_01_24105__b3988174411211">ENGINE = MergeTree()</strong>: specifies the MergeTree engine.</li><li id="mrs_01_24105__li18988144415211"><strong id="mrs_01_24105__b2098844482119">PARTITION BY</strong> <strong id="mrs_01_24105__b1332724153418">toYYYYMM(name4)</strong>: specifies the partition. The sample data is partitioned by month, and a folder is created for each month.</li><li id="mrs_01_24105__li4988164412214"><strong id="mrs_01_24105__b1998814418219">ORDER BY</strong>: specifies the sorting field. A multi-field index can be sorted. If the first field is the same, the second field is used for sorting, and so on.</li><li id="mrs_01_24105__li12988174462110"><strong id="mrs_01_24105__b2988134442117">index_granularity = 8192</strong>: specifies the index granularity. One index value is recorded for every 8,192 data records.</li></ul>
+</div>
+<p id="mrs_01_24105__p898814422111">If the data to be queried exists in a partition or sorting field, the data query time can be greatly reduced.</p>
+</li><li id="mrs_01_24105__li35011733131618">ReplacingMergeTree<p id="mrs_01_24105__p12256051104411"><a name="mrs_01_24105__li35011733131618"></a><a name="li35011733131618"></a>Different from MergeTree, ReplacingMergeTree deletes duplicate entries with the same sorting key. ReplacingMergeTree is suitable for clearing duplicate data to save space, but it does not guarantee the absence of duplicate data. Generally, it is not recommended.</p>
+<div class="p" id="mrs_01_24105__p0360122614521"><strong id="mrs_01_24105__b116131451114918">Syntax for creating a table</strong>:<pre class="screen" id="mrs_01_24105__screen18831436125212">CREATE TABLE [IF NOT EXISTS] [db.]table_name [ON CLUSTER cluster]
+(
+    name1 [type1] [DEFAULT|MATERIALIZED|ALIAS expr1],
+    name2 [type2] [DEFAULT|MATERIALIZED|ALIAS expr2],
+    ...
+) <strong id="mrs_01_24105__b141858135314">ENGINE = ReplacingMergeTree</strong>([ver])
+[PARTITION BY expr]
+[ORDER BY expr]
+[SAMPLE BY expr]
+[SETTINGS name=value, ...]</pre>
+</div>
+</li><li id="mrs_01_24105__li45011633121610">SummingMergeTree<p id="mrs_01_24105__p135222013142"><a name="mrs_01_24105__li45011633121610"></a><a name="li45011633121610"></a>When merging data parts in SummingMergeTree tables, ClickHouse merges all rows with the same primary key into one row that contains summed values for the columns with the numeric data type. If the primary key is composed in a way that a single key value corresponds to large number of rows, storage volume can be significantly reduced and the data query speed can be accelerated.</p>
+<p id="mrs_01_24105__p1697716173168"><strong id="mrs_01_24105__b9941257124918">Syntax for creating a table</strong>:</p>
+<pre class="screen" id="mrs_01_24105__screen1023917276161">CREATE TABLE [IF NOT EXISTS] [db.]table_name [ON CLUSTER cluster]
+(
+    name1 [type1] [DEFAULT|MATERIALIZED|ALIAS expr1],
+    name2 [type2] [DEFAULT|MATERIALIZED|ALIAS expr2],
+    ...
+) <strong id="mrs_01_24105__b1214513011710">ENGINE = SummingMergeTree</strong>([columns])
+[PARTITION BY expr]
+[ORDER BY expr]
+[SAMPLE BY expr]
+[SETTINGS name=value, ...]</pre>
+<p id="mrs_01_24105__p171103912174"><strong id="mrs_01_24105__b42991237191718">Example</strong>:</p>
+<p id="mrs_01_24105__p17770152911173">Create a SummingMergeTree table named <strong id="mrs_01_24105__b10669171716359">testTable</strong>.</p>
+<pre class="screen" id="mrs_01_24105__screen2325164454311">CREATE TABLE testTable
+(
+    id UInt32,
+    value UInt32
+)
+<strong id="mrs_01_24105__b665425184417">ENGINE = SummingMergeTree()</strong>
+ORDER BY id</pre>
+<p id="mrs_01_24105__p16302131410448">Insert data into the table.</p>
+<pre class="screen" id="mrs_01_24105__screen1650212618448">INSERT INTO testTable Values(5,9),(5,3),(4,6),(1,2),(2,5),(1,4),(3,8);
+INSERT INTO testTable Values(88,5),(5,5),(3,7),(3,5),(1,6),(2,6),(4,7),(4,6),(43,5),(5,9),(3,6);</pre>
+<p id="mrs_01_24105__p1749552410451">Query all data in unmerged parts.</p>
+<pre class="screen" id="mrs_01_24105__screen184318279461">SELECT * FROM testTable
+┌─id─┬─value─┐
+│  1   │     6   │
+│  2   │     5   │
+│  3   │     8   │
+│  4   │     6   │
+│  5   │    12   │
+└───┴──── ┘
+┌─id─┬─value─┐
+│  1   │       6 │
+│  2   │       6 │
+│  3   │      18 │
+│  4   │      13 │
+│  5   │      14 │
+│ 43   │       5 │
+│ 88   │       5 │
+└───┴──── ┘</pre>
+<p id="mrs_01_24105__p572352561">If ClickHouse has not summed up all rows and you need to aggregate data by ID, use the <strong id="mrs_01_24105__b5291201714445">sum</strong> function and <strong id="mrs_01_24105__b1413195014209">GROUP BY</strong> statement.</p>
+<pre class="screen" id="mrs_01_24105__screen5558105210562">SELECT id, sum(value) FROM testTable GROUP BY id
+┌─id─┬─sum(value)─┐
+│  4   │           19 │
+│  3   │           26 │
+│ 88   │            5 │
+│  2   │           11 │
+│  5   │           26 │
+│  1   │           12 │
+│ 43   │            5 │
+└───┴───────┘</pre>
+<p id="mrs_01_24105__p157972482571">Merge rows manually.</p>
+<pre class="screen" id="mrs_01_24105__screen2052716221582">OPTIMIZE TABLE testTable</pre>
+<p id="mrs_01_24105__p196221938145820">Query data in the <strong id="mrs_01_24105__b1638942717451">testTable</strong> table again.</p>
+<pre class="screen" id="mrs_01_24105__screen2094811145911">SELECT * FROM testTable
+┌─id─┬─value─┐
+│  1   │    12   │
+│  2   │    11   │
+│  3   │    26   │
+│  4   │    19   │
+│  5   │    26   │
+│ 43   │     5   │
+│ 88   │     5   │
+└───┴──── ┘</pre>
+<p id="mrs_01_24105__p328592817103">SummingMergeTree uses the <strong id="mrs_01_24105__b17602103564819">ORDER BY</strong> sorting keys as the condition keys to aggregate data. That is, if sorting keys are the same, data records are merged into one and the specified merged fields are aggregated.</p>
+<p id="mrs_01_24105__p14211122263310">Data is pre-aggregated only when merging is executed in the background, and the merging execution time cannot be predicted. Therefore, it is possible that some data has been pre-aggregated and some data has not been aggregated. Therefore, the <strong id="mrs_01_24105__b721120573012">GROUP BY</strong> statement must be used during aggregation.</p>
+</li><li id="mrs_01_24105__li7501163316160">AggregatingMergeTree<p id="mrs_01_24105__p145961112135415"><a name="mrs_01_24105__li7501163316160"></a><a name="li7501163316160"></a>AggregatingMergeTree is a pre-aggregation engine used to improve aggregation performance. When merging partitions, the AggregatingMergeTree engine aggregates data based on predefined conditions, calculates data based on predefined aggregate functions, and saves the data in binary format to tables.</p>
+<p id="mrs_01_24105__p6500171014544"><strong id="mrs_01_24105__b1050961195020">Syntax for creating a table</strong>:</p>
+<pre class="screen" id="mrs_01_24105__screen20500131035414">CREATE TABLE [IF NOT EXISTS] [db.]table_name [ON CLUSTER cluster]
+(
+    name1 [type1] [DEFAULT|MATERIALIZED|ALIAS expr1],
+    name2 [type2] [DEFAULT|MATERIALIZED|ALIAS expr2],
+    ...
+)<strong id="mrs_01_24105__b135001810195410"> ENGINE = AggregatingMergeTree</strong>()
+[PARTITION BY expr]
+[ORDER BY expr]
+[SAMPLE BY expr]
+[TTL expr]
+[SETTINGS name=value, ...]</pre>
+<p id="mrs_01_24105__p10724182011578"><strong id="mrs_01_24105__b115201832175814">Example</strong>:</p>
+<p id="mrs_01_24105__p174101925205712">You do not need to set the AggregatingMergeTree parameter separately. When partitions are merged, data in each partition is aggregated based on the <strong id="mrs_01_24105__b1666385119340">ORDER BY</strong> sorting key. You can set the aggregate functions to be used and column fields to be calculated by defining the AggregateFunction type, as shown in the following example:</p>
+<pre class="screen" id="mrs_01_24105__screen341324114213">create table test_table (
+name1 String,
+name2 String,
+name3 <strong id="mrs_01_24105__b66917535210">AggregateFunction(uniq,String)</strong>,
+name4 <strong id="mrs_01_24105__b8709185613210">AggregateFunction(sum,Int)</strong>,
+name5 DateTime
+) <strong id="mrs_01_24105__b16625012317">ENGINE = AggregatingMergeTree()</strong>
+PARTITION BY toYYYYMM(name5)
+ORDER BY (name1,name2)
+PRIMARY KEY name1;</pre>
+<p id="mrs_01_24105__p78411035792">When data of the AggregateFunction type is written or queried, the <strong id="mrs_01_24105__b6811114919161">*state</strong> and <strong id="mrs_01_24105__b1412575661616">*merge</strong> functions need to be called. The asterisk (*) indicates the aggregate functions used for defining the field type. For example, the <strong id="mrs_01_24105__b52981154205512">uniq</strong> and <strong id="mrs_01_24105__b229810546556">sum</strong> functions are specified for the <strong id="mrs_01_24105__b182979542558">name3</strong> and <strong id="mrs_01_24105__b112981054175516">name4</strong> fields defined in the <strong id="mrs_01_24105__b52981554115516">test_table</strong>, respectively. Therefore, you need to call the <strong id="mrs_01_24105__b529905455514">uniqState</strong> and <strong id="mrs_01_24105__b12299854115514">sumState</strong> functions and run the <strong id="mrs_01_24105__b135553119413">INSERT</strong> and <strong id="mrs_01_24105__b13501815049">SELECT</strong> statements when writing data into the table.</p>
+<pre class="screen" id="mrs_01_24105__screen11585433818">insert into test_table select '8','test1',<strong id="mrs_01_24105__b156918331139">uniqState('name1'),sumState(toInt32(100))</strong>,'2021-04-30 17:18:00';
+insert into test_table select '8','test1',<strong id="mrs_01_24105__b11548173661315">uniqState('name1'),sumState(toInt32(200))</strong>,'2021-04-30 17:18:00';</pre>
+<p id="mrs_01_24105__p15665153521611">When querying data, you need to call the corresponding functions <strong id="mrs_01_24105__b10208173822316">uniqMerge</strong> and <strong id="mrs_01_24105__b187974282312">sumMerge</strong>.</p>
+<pre class="screen" id="mrs_01_24105__screen19282174113162">select name1,name2,uniqMerge(name3),sumMerge(name4) from test_table group by name1,name2;
+┌─name1─┬─name2─┬─uniqMerge(name3)─┬─sumMerge(name4)─┐
+│ 8       │   test1 │                  1 │               300 │
+└──── ┴──── ┴──────────┴───────── ┘</pre>
+<p id="mrs_01_24105__p11765165631815">AggregatingMergeTree is more commonly used with materialized views, which are query views of other data tables at the upper layer.</p>
+</li><li id="mrs_01_24105__li105011233141610">CollapsingMergeTree<p id="mrs_01_24105__p12400620175612"><a name="mrs_01_24105__li105011233141610"></a><a name="li105011233141610"></a>CollapsingMergeTree defines a <strong id="mrs_01_24105__b2097046134411">Sign</strong> field to record status of data rows. If <strong id="mrs_01_24105__b19645111315466">Sign</strong> is <strong id="mrs_01_24105__b5844102464612">1</strong>, the data in this row is valid. If <strong id="mrs_01_24105__b11900119145019">Sign</strong> is <strong id="mrs_01_24105__b112720618486">-1</strong>, the data in this row needs to be deleted.</p>
+<div class="p" id="mrs_01_24105__p134944533591"><strong id="mrs_01_24105__b1633818108016">Syntax for creating a table</strong>:<pre class="screen" id="mrs_01_24105__screen15756136333">CREATE TABLE [IF NOT EXISTS] [db.]table_name [ON CLUSTER cluster]
+(
+    name1 [type1] [DEFAULT|MATERIALIZED|ALIAS expr1],
+    name2 [type2] [DEFAULT|MATERIALIZED|ALIAS expr2],
+    ...
+)<strong id="mrs_01_24105__b4122544135"> ENGINE = CollapsingMergeTree(sign)</strong>
+[PARTITION BY expr]
+[ORDER BY expr]
+[SAMPLE BY expr]
+[SETTINGS name=value, ...]</pre>
+</div>
+</li><li id="mrs_01_24105__li25011033121618">VersionedCollapsingMergeTree<p id="mrs_01_24105__p69761481571"><a name="mrs_01_24105__li25011033121618"></a><a name="li25011033121618"></a>The VersionedCollapsingMergeTree engine adds <strong id="mrs_01_24105__b760010810548">Version</strong> to the table creation statement to record the mapping between a <strong id="mrs_01_24105__b1143993815718">state</strong> row and a <strong id="mrs_01_24105__b1401654115720">cancel</strong> row in case that rows are out of order. The rows with the same primary key, same <strong id="mrs_01_24105__b48021334296">Version</strong>, and opposite <strong id="mrs_01_24105__b11121181317291">Sign</strong> will be deleted during compaction.</p>
+<p id="mrs_01_24105__p825911561177"><strong id="mrs_01_24105__b124101013102416">Syntax for creating a table</strong>:</p>
+<pre class="screen" id="mrs_01_24105__screen1832333913817">CREATE TABLE [IF NOT EXISTS] [db.]table_name [ON CLUSTER cluster]
+(
+    name1 [type1] [DEFAULT|MATERIALIZED|ALIAS expr1],
+    name2 [type2] [DEFAULT|MATERIALIZED|ALIAS expr2],
+    ...
+) <strong id="mrs_01_24105__b017217451986">ENGINE = VersionedCollapsingMergeTree(sign, version)</strong>
+[PARTITION BY expr]
+[ORDER BY expr]
+[SAMPLE BY expr]
+[SETTINGS name=value, ...]</pre>
+</li><li id="mrs_01_24105__li17501143316166">GraphiteMergeTree<p id="mrs_01_24105__p1848481416184"><a name="mrs_01_24105__li17501143316166"></a><a name="li17501143316166"></a>The GraphiteMergeTree engine is used to store data in the time series database Graphite.</p>
+<p id="mrs_01_24105__p1049563091813"><strong id="mrs_01_24105__b4428165113217">Syntax for creating a table</strong>:</p>
+<pre class="screen" id="mrs_01_24105__screen1944814391194">CREATE TABLE [IF NOT EXISTS] [db.]table_name [ON CLUSTER cluster]
+(
+    Path String,
+    Time DateTime,
+    Value &lt;Numeric_type&gt;,
+    Version &lt;Numeric_type&gt;
+    ...
+) ENGINE = GraphiteMergeTree(config_section)
+[PARTITION BY expr]
+[ORDER BY expr]
+[SAMPLE BY expr]
+[SETTINGS name=value, ...]</pre>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_24105__section132251834154017"><h4 class="sectiontitle">Replicated*MergeTree Engines</h4><p id="mrs_01_24105__p19448184704017">All engines of the MergeTree family in ClickHouse prefixed with Replicated become MergeTree engines that support replicas.</p>
+<p id="mrs_01_24105__p159732194411"><span><img id="mrs_01_24105__image1197371934117" src="en-us_image_0000001295770752.png"></span></p>
+<p id="mrs_01_24105__p1989414264410">Replicated series engines use ZooKeeper to synchronize data. When a replicated table is created, all replicas of the same shard are synchronized based on the information registered with ZooKeeper.</p>
+<div class="p" id="mrs_01_24105__p1717511341531"><strong id="mrs_01_24105__b5790748485">Template for creating a Replicated engine</strong>:<pre class="screen" id="mrs_01_24105__screen1539115174814">ENGINE = Replicated*MergeTree('<em id="mrs_01_24105__i17145211528">Storage path in ZooKeeper</em>','<em id="mrs_01_24105__i117761229155212">Replica name</em>', ...)</pre>
+</div>
+<p id="mrs_01_24105__p8602647134716">Two parameters need to be specified for a Replicated engine:</p>
+<ul id="mrs_01_24105__ul18781618184413"><li id="mrs_01_24105__li11465131915617"><em id="mrs_01_24105__i111553945212">Storage path in ZooKeeper</em>: specifies the path for storing table data in ZooKeeper. The path format is <strong id="mrs_01_24105__b9445114512546"><em id="mrs_01_24105__i1514119314103">/clickhouse/tables/{shard}</em></strong><strong id="mrs_01_24105__b154452454545">/</strong><strong id="mrs_01_24105__b1445745195416"><em id="mrs_01_24105__i514133171015">Database name/Table name</em></strong>.</li><li id="mrs_01_24105__li1378191811446"><em id="mrs_01_24105__i151213373555">Replica name</em>: Generally, <strong id="mrs_01_24105__b17303228205516">{replica}</strong> is used.</li></ul>
+<p id="mrs_01_24105__p20344204314548">For details about the example, see <a href="mrs_01_2398.html">Creating a ClickHouse Table</a>.</p>
+</div>
+<div class="section" id="mrs_01_24105__section65781422145918"><h4 class="sectiontitle">Distributed Engine</h4><div class="p" id="mrs_01_24105__p6274527714">The Distributed engine does not store any data. It serves as a transparent proxy for data shards and can automatically transmit data to each node in the cluster. Distributed tables need to work with other local data tables. Distributed tables distribute received read and write tasks to each local table where data is stored.<div class="fignone" id="mrs_01_24105__fig756320311253"><span class="figcap"><b>Figure 1 </b>Working principle of the Distributed engine</span><br><span><img id="mrs_01_24105__image456316316250" src="en-us_image_0000001349289865.png"></span></div>
+</div>
+<p id="mrs_01_24105__p1699188143415"><strong id="mrs_01_24105__b2570626202414">Template for creating a Distributed engine</strong>:</p>
+<pre class="screen" id="mrs_01_24105__screen1052617123413">ENGINE = Distributed(cluster_name, database_name, table_name, [sharding_key])</pre>
+<p id="mrs_01_24105__p8570133316568">Parameters of a distributed table are described as follows:</p>
+<ul id="mrs_01_24105__ul1159131917386"><li id="mrs_01_24105__li155912019183819"><strong id="mrs_01_24105__b15530132215268">cluster_name</strong>: specifies the cluster name. When a distributed table is read or written, the cluster configuration information is used to search for the corresponding ClickHouse instance node.</li><li id="mrs_01_24105__li915215011381"><strong id="mrs_01_24105__b184521113281">database_name</strong>: specifies the database name.</li><li id="mrs_01_24105__li2011652283812"><strong id="mrs_01_24105__b112118132815">table_name</strong>: specifies the name of a local table in the database. It is used to map a distributed table to a local table.</li><li id="mrs_01_24105__li15872573817"><strong id="mrs_01_24105__b143183416282">sharding_key</strong> (optional): specifies the sharding key, based on which a distributed table distributes data to each local table.</li></ul>
+<p id="mrs_01_24105__p43073552347"><strong id="mrs_01_24105__b910635743817">Example</strong>:</p>
+<pre class="screen" id="mrs_01_24105__screen9875122115489">-- Create a ReplicatedMergeTree local table named <strong id="mrs_01_24105__b878620142394">test</strong>.
+CREATE TABLE default.test ON CLUSTER default_cluster_1
+(
+    `EventDate` DateTime, 
+    `id` UInt64
+)
+ENGINE = ReplicatedMergeTree('/clickhouse/tables/{shard}/default/test', '{replica}')
+PARTITION BY toYYYYMM(EventDate)
+ORDER BY id
+
+-- Create a distributed table named <strong id="mrs_01_24105__b116729814013">test_all</strong> based on the local table <strong id="mrs_01_24105__b31911615114017">test</strong>.
+CREATE TABLE default.test_all ON CLUSTER default_cluster_1
+(
+    `EventDate` DateTime, 
+    `id` UInt64
+)
+ENGINE = Distributed(default_cluster_1, default, test, rand())</pre>
+<p id="mrs_01_24105__p1976018534526"><strong id="mrs_01_24105__b9291918414">Rules for creating a distributed table</strong>:</p>
+<ul id="mrs_01_24105__ul108591657125214"><li id="mrs_01_24105__li14181206538">When creating a distributed table, add <strong id="mrs_01_24105__b143311478452">ON CLUSTER</strong> <em id="mrs_01_24105__i35182052134520">cluster_name</em> to the table creation statement so that the statement can be executed once on a ClickHouse instance and then distributed to all instances in the cluster for execution.</li><li id="mrs_01_24105__li14124194012554">Generally, a distributed table is named in the following format: <em id="mrs_01_24105__i1691413337547">Local table name</em>_all. It forms a one-to-many mapping with local tables. Then, multiple local tables can be operated using the distributed table proxy.</li><li id="mrs_01_24105__li429019596552">Ensure that the structure of a distributed table is the same as that of local tables. If they are inconsistent, no error is reported during table creation, but an exception may be reported during data query or insertion.</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2344.html">Using ClickHouse</a></div>
+</div>
+</div>
+
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+++ b/docs/mrs/component-operation-guide/mrs_01_24109.html
@@ -0,0 +1,121 @@
+<a name="mrs_01_24109"></a><a name="mrs_01_24109"></a>
+
+<h1 class="topictitle1">Interconnecting ClickHouse With OpenLDAP for Authentication</h1>
+<div id="body0000001156335241"><p id="mrs_01_24109__p0620195241914">ClickHouse can be interconnected with OpenLDAP. You can manage accounts and permissions in a centralized manner by adding the OpenLDAP server configuration and creating users on ClickHouse. You can use this method to import users from the OpenLDAP server to ClickHouse in batches.</p>
+<p id="mrs_01_24109__p1921583652320">This section applies only to MRS 3.1.0 or later.</p>
+<div class="section" id="mrs_01_24109__section102118389113"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_24109__ul163207376185"><li id="mrs_01_24109__li5321153714182">The MRS cluster and ClickHouse instances are running properly, and the ClickHouse client has been installed.</li><li id="mrs_01_24109__li15548138121815">OpenLDAP has been installed and is running properly.</li></ul>
+</div>
+<div class="section" id="mrs_01_24109__section131691552132813"><h4 class="sectiontitle">Creating a ClickHouse User for Interconnecting with the OpenLDAP Server</h4><ol id="mrs_01_24109__ol19636454192914"><li id="mrs_01_24109__li142891246133812"><span>Log in to Manager and choose <strong id="mrs_01_24109__b1828618111010">Cluster</strong> &gt; <strong id="mrs_01_24109__b15341818181018">Services</strong> &gt; <strong id="mrs_01_24109__b19346185105">ClickHouse</strong>. Click the <strong id="mrs_01_24109__b7341218131014">Configurations</strong> tab and then <strong id="mrs_01_24109__b133411182108">All Configurations</strong>.</span></li><li id="mrs_01_24109__li1720414673914"><span>Choose <strong id="mrs_01_24109__b152381912154112">ClickHouseServer(Role)</strong> &gt; <strong id="mrs_01_24109__b1843132074112">Customization</strong>, and add the following OpenLDAP configuration parameters to the <strong id="mrs_01_24109__b16420114218417">clickhouse-config-customize</strong> configuration item.</span><p>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24109__table15801195914519" frame="border" border="1" rules="all"><caption><b>Table 1 </b>OpenLDAP parameters</caption><thead align="left"><tr id="mrs_01_24109__row7801145919453"><th align="left" class="cellrowborder" valign="top" width="33.33333333333333%" id="mcps1.3.4.2.2.2.1.2.4.1.1"><p id="mrs_01_24109__p148019592453">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="40.41404140414041%" id="mcps1.3.4.2.2.2.1.2.4.1.2"><p id="mrs_01_24109__p680117598455">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="26.25262526252625%" id="mcps1.3.4.2.2.2.1.2.4.1.3"><p id="mrs_01_24109__p118011859114513">Example Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24109__row13801175934513"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.2.2.1.2.4.1.1 "><p id="mrs_01_24109__p19801115954515">ldap_servers.ldap_server_name.host</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.41404140414041%" headers="mcps1.3.4.2.2.2.1.2.4.1.2 "><p id="mrs_01_24109__p14801145912451">OpenLDAP server host name or IP address. This parameter cannot be empty.</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.25262526252625%" headers="mcps1.3.4.2.2.2.1.2.4.1.3 "><p id="mrs_01_24109__p980145914455">localhost</p>
+</td>
+</tr>
+<tr id="mrs_01_24109__row655142414474"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.2.2.1.2.4.1.1 "><p id="mrs_01_24109__p35502412479">ldap_servers.ldap_server_name.port</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.41404140414041%" headers="mcps1.3.4.2.2.2.1.2.4.1.2 "><p id="mrs_01_24109__p16573201411597">OpenLDAP server port number.</p>
+<p id="mrs_01_24109__p99481216549">If <strong id="mrs_01_24109__b759585016439">enable_tls</strong> is set to <strong id="mrs_01_24109__b1879955113439">true</strong>, the default port number is <strong id="mrs_01_24109__b0349185654316">636</strong>. Otherwise, the default port number is <strong id="mrs_01_24109__b3358958154315">389</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.25262526252625%" headers="mcps1.3.4.2.2.2.1.2.4.1.3 "><p id="mrs_01_24109__p125510247470">636</p>
+</td>
+</tr>
+<tr id="mrs_01_24109__row6855133113473"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.2.2.1.2.4.1.1 "><p id="mrs_01_24109__p085543164711">ldap_servers.ldap_server_name.auth_dn_prefix</p>
+</td>
+<td class="cellrowborder" rowspan="2" valign="top" width="40.41404140414041%" headers="mcps1.3.4.2.2.2.1.2.4.1.2 "><p id="mrs_01_24109__p11362722550">Prefix and suffix used to construct the DN to bind to.</p>
+<p id="mrs_01_24109__p109212705617">The generated DN will be constructed as a string in the following format: <strong id="mrs_01_24109__b0731132410442">auth_dn_prefix</strong> + <strong id="mrs_01_24109__b1473832414413">escape(user_name)</strong> + <strong id="mrs_01_24109__b5739724204410">auth_dn_suffix</strong>.</p>
+<p id="mrs_01_24109__p49217175611">Use a comma (,) as the first non-space character of <strong id="mrs_01_24109__b54867514449">auth_dn_suffix</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.25262526252625%" headers="mcps1.3.4.2.2.2.1.2.4.1.3 "><p id="mrs_01_24109__p19663145715019">uid=</p>
+</td>
+</tr>
+<tr id="mrs_01_24109__row8439143984715"><td class="cellrowborder" valign="top" headers="mcps1.3.4.2.2.2.1.2.4.1.1 "><p id="mrs_01_24109__p1843911393475">ldap_servers.ldap_server_name.auth_dn_suffix</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.4.2.2.2.1.2.4.1.2 "><p id="mrs_01_24109__p11439123911476">,ou=Group,dc=node1,dc=com</p>
+</td>
+</tr>
+<tr id="mrs_01_24109__row15626125017471"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.2.2.1.2.4.1.1 "><p id="mrs_01_24109__p1462685013474">ldap_servers.ldap_server_name.enable_tls</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.41404140414041%" headers="mcps1.3.4.2.2.2.1.2.4.1.2 "><p id="mrs_01_24109__p257815725611">A tag to trigger the use of the secure connection to the OpenLDAP server.</p>
+<ul id="mrs_01_24109__ul82024211573"><li id="mrs_01_24109__li185413510572">Set it to <strong id="mrs_01_24109__b512118127476">no</strong> for the plaintext (ldap://) protocol (not recommended).</li><li id="mrs_01_24109__li182028216577">Set it to <strong id="mrs_01_24109__b102056104810">yes</strong> for the LDAP over SSL/TLS (ldaps://) protocol.</li></ul>
+</td>
+<td class="cellrowborder" valign="top" width="26.25262526252625%" headers="mcps1.3.4.2.2.2.1.2.4.1.3 "><p id="mrs_01_24109__p127233385614">yes</p>
+</td>
+</tr>
+<tr id="mrs_01_24109__row14274135512478"><td class="cellrowborder" valign="top" width="33.33333333333333%" headers="mcps1.3.4.2.2.2.1.2.4.1.1 "><p id="mrs_01_24109__p17274125511473">ldap_servers.ldap_server_name.tls_require_cert</p>
+</td>
+<td class="cellrowborder" valign="top" width="40.41404140414041%" headers="mcps1.3.4.2.2.2.1.2.4.1.2 "><p id="mrs_01_24109__p02829483577">SSL/TLS peer certificate verification behavior.</p>
+<p id="mrs_01_24109__p1728294805714">The value can be <strong id="mrs_01_24109__b13758243194920">never</strong>, <strong id="mrs_01_24109__b5725154612498">allow</strong>, <strong id="mrs_01_24109__b64941348124918">try</strong>, or <strong id="mrs_01_24109__b155831650154912">require</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="26.25262526252625%" headers="mcps1.3.4.2.2.2.1.2.4.1.3 "><p id="mrs_01_24109__p927415514717">allow</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="note" id="mrs_01_24109__note8253141915419"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_24109__p925311910411">For details about other parameters, see <a href="#mrs_01_24109__section16259164716419">&lt;ldap_servers&gt; Parameters</a>.</p>
+</div></div>
+</p></li><li id="mrs_01_24109__li1783202443612"><span>After the configuration is complete, click <strong id="mrs_01_24109__b195581517175014">Save</strong>. In the displayed dialog box, click <strong id="mrs_01_24109__b1262712216517">OK</strong>. After the configuration is saved, click <strong id="mrs_01_24109__b14484520851">Finish</strong>.</span></li><li id="mrs_01_24109__li1738724613233"><span>On Manager, click <strong id="mrs_01_24109__b1115195485112">Instance</strong>, select a ClickHouseServer instance, and choose <strong id="mrs_01_24109__b18173182114522">More</strong> &gt; <strong id="mrs_01_24109__b342322485210">Restart Instance</strong>. In the displayed dialog box, enter the password and click <strong id="mrs_01_24109__b1531123010520">OK</strong>. In the displayed <strong id="mrs_01_24109__b19506135111714">Restart instance</strong> dialog box, click <strong id="mrs_01_24109__b13218575164">OK</strong>. Confirm that the instance is restarted successfully as prompted and click <strong id="mrs_01_24109__b97781559171617">Finish</strong>.</span></li><li id="mrs_01_24109__li41883019273"><span>Log in to the ClickHouseServer instance node and go to the <strong id="mrs_01_24109__b913122816012">${BIGDATA_HOME}/FusionInsight_ClickHouse_</strong><em id="mrs_01_24109__i19455328488">Version number</em><strong id="mrs_01_24109__b574113016016">/</strong><em id="mrs_01_24109__i1542619449389">x_x</em><strong id="mrs_01_24109__b78919326013">_ClickHouseServer/etc</strong> directory.</span><p><p id="mrs_01_24109__p718815062711"><strong id="mrs_01_24109__b918880162715">cd </strong><strong id="mrs_01_24109__b153181915131816">${BIGDATA_HOME}/FusionInsight_ClickHouse</strong><strong id="mrs_01_24109__b8336131419229">_*</strong><strong id="mrs_01_24109__b3245115019376">/</strong><em id="mrs_01_24109__i1363692893914">x_x</em>_<strong id="mrs_01_24109__b18111155113816">ClickHouseServer</strong><strong id="mrs_01_24109__b1622972401819">/etc</strong></p>
+</p></li><li id="mrs_01_24109__li111911544142720"><a name="mrs_01_24109__li111911544142720"></a><a name="li111911544142720"></a><span>Run the following command to view the <strong id="mrs_01_24109__b19420537155315">config.xml</strong> configuration file and check whether the OpenLDAP parameters are configured successfully:</span><p><p id="mrs_01_24109__p2583185416276"><strong id="mrs_01_24109__b1258315462715">cat config.xml</strong></p>
+<p id="mrs_01_24109__p187371056114316"><span><img id="mrs_01_24109__image1373755684318" src="en-us_image_0000001296090112.png"></span></p>
+</p></li><li id="mrs_01_24109__li14621174714330"><span>Log in to the node where the ClickHouseServer instance is located as user <strong id="mrs_01_24109__b123143564811233">root</strong>.</span></li><li id="mrs_01_24109__li10408141903516"><a name="mrs_01_24109__li10408141903516"></a><a name="li10408141903516"></a><span>Run the following command to obtain the path of the <strong id="mrs_01_24109__b152807399311233">clickhouse.keytab</strong> file:</span><p><p id="mrs_01_24109__p2088093683711"><strong id="mrs_01_24109__b58285331372">ls ${BIGDATA_HOME}/FusionInsight_ClickHouse_*/install/FusionInsight-ClickHouse-*/clickhouse/keytab/clickhouse.keytab</strong></p>
+</p></li><li id="mrs_01_24109__li10269200102512"><span>Log in to the node where the client is installed as the client installation user.</span></li><li id="mrs_01_24109__li4269903251"><span>Run the following command to go to the ClickHouse client installation directory:</span><p><p id="mrs_01_24109__p44422034711"><strong id="mrs_01_24109__b544219064710">cd /opt/client</strong></p>
+</p></li><li id="mrs_01_24109__li172699012517"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_24109__p6443605473"><strong id="mrs_01_24109__b74438010475">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_24109__li1262061185015"><span>Run the following command to connect to the ClickHouseServer instance:</span><p><ul id="mrs_01_24109__ul16380336184814"><li id="mrs_01_24109__li838003619480">If Kerberos authentication is enabled for the current cluster, use <strong id="mrs_01_24109__b204861254195419">clickhouse.keytab</strong> to connect to the ClickHouseServer instance.<p id="mrs_01_24109__p16331192711489"><strong id="mrs_01_24109__b97805151211233">clickhouse client --host </strong><em id="mrs_01_24109__i157048720111233">IP address of the node where the ClickHouseServer instance is located </em><strong id="mrs_01_24109__b172767895111233">--user clickhouse/hadoop.</strong><em id="mrs_01_24109__i170637085911233">&lt;System domain name&gt;</em><strong id="mrs_01_24109__b984986011233"> --password </strong> <em id="mrs_01_24109__i529024411233">clickhouse.keytab path obtained in <a href="#mrs_01_24109__li10408141903516">8</a></em><strong id="mrs_01_24109__b201441901411233"> --port </strong><em id="mrs_01_24109__i124709201211233">ClickHouse port number</em></p>
+<div class="note" id="mrs_01_24109__note17716205472919"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_24109__p11491758192916">The default system domain name is <strong id="mrs_01_24109__b105481667511233">hadoop.com</strong>. Log in to FusionInsight Manager and choose <strong id="mrs_01_24109__b942641525612">System</strong> &gt; <strong id="mrs_01_24109__b14328157569">Permission</strong> &gt; <strong id="mrs_01_24109__b124332155566">Domain and Mutual Trust</strong>. The value of <strong id="mrs_01_24109__b1243321513569">Local Domain</strong> is the system domain name. Change the letters to lowercase letters when running a command.</p>
+</div></div>
+</li><li id="mrs_01_24109__li12631043154811">If Kerberos authentication is disabled for the current cluster, connect to the ClickHouseServer instance as the <strong id="mrs_01_24109__b1175015220576">clickhouse</strong> administrator.<p id="mrs_01_24109__p1120111012513"><strong id="mrs_01_24109__b18286480311233">clickhouse client --host </strong><em id="mrs_01_24109__i130275679111233">IP address of the node where the ClickHouseServer instance is located</em><strong id="mrs_01_24109__b96556998611233"> --user clickhouse</strong> <strong id="mrs_01_24109__b122359462111233">--port </strong><em id="mrs_01_24109__i189460571211233">ClickHouse port number</em></p>
+</li></ul>
+</p></li><li id="mrs_01_24109__li149786613266"><span>Create a common user of OpenLDAP.</span><p><p id="mrs_01_24109__p166711652102810">Run the following statement to create user <strong id="mrs_01_24109__b201711725191312">testUser</strong> in cluster <strong id="mrs_01_24109__b7985129201312">default_cluster</strong> and set <strong id="mrs_01_24109__b3976521111417">ldap_server</strong> to the OpenLDAP server name in the <strong id="mrs_01_24109__b177611440191412">&lt;ldap_servers&gt;</strong> tag in <a href="#mrs_01_24109__li111911544142720">6</a>. In this example, the name is <strong id="mrs_01_24109__b13824649171418">ldap_server_name</strong>.</p>
+<p id="mrs_01_24109__p629323016284"><strong id="mrs_01_24109__b4221192142911">CREATE USER </strong><em id="mrs_01_24109__i94790217296">testUser </em><strong id="mrs_01_24109__b153168033016"> ON CLUSTER </strong><em id="mrs_01_24109__i16317140123018">default_cluster</em><strong id="mrs_01_24109__b931611013302">  </strong><strong id="mrs_01_24109__b12899144053513">IDENTIFIED WITH ldap_server BY '</strong>ldap_server_name<strong id="mrs_01_24109__b889914013353">';</strong></p>
+<p id="mrs_01_24109__p143011255123616"><strong id="mrs_01_24109__b16950181818158">testUser</strong> indicates an existing username in OpenLDAP. Change it based on the site requirements.</p>
+</p></li><li id="mrs_01_24109__li167051207431"><span>Log out of the client, and then log in to the client as the new user to check whether the configuration is successful.</span><p><p id="mrs_01_24109__p7363174495313"><strong id="mrs_01_24109__b2937948175318">exit;</strong></p>
+<p id="mrs_01_24109__p25618426538"><strong id="mrs_01_24109__b1856112422536">clickhouse client --host  </strong><em id="mrs_01_24109__i156116428536">IP address of the ClickHouseServer instance</em> <strong id="mrs_01_24109__b4561442165313"> --user </strong><em id="mrs_01_24109__i1656114420535">testUser</em><em id="mrs_01_24109__i18561742125311"> </em><strong id="mrs_01_24109__b135610424530">--password</strong> <strong id="mrs_01_24109__b83331413125412"> --port </strong><em id="mrs_01_24109__i203331138544">ClickHouse port number</em></p>
+<p id="mrs_01_24109__p14522155645914"><em id="mrs_01_24109__i147511367385">Enter the password of testUser.</em></p>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_24109__section16259164716419"><a name="mrs_01_24109__section16259164716419"></a><a name="section16259164716419"></a><h4 class="sectiontitle">&lt;ldap_servers&gt; Parameters</h4><ul id="mrs_01_24109__ul5343818174217"><li id="mrs_01_24109__li11343181864211"><strong id="mrs_01_24109__b1337086115316">host</strong><p id="mrs_01_24109__p837811123426">OpenLDAP server host name or IP address. This parameter is mandatory and cannot be empty.</p>
+</li></ul>
+<ul id="mrs_01_24109__ul14477132018428"><li id="mrs_01_24109__li10477152034219"><strong id="mrs_01_24109__b155631010532">port</strong><p id="mrs_01_24109__p2037815129422">Port number of the OpenLDAP server. If <strong id="mrs_01_24109__b178441126101910">enable_tls</strong> is set to <strong id="mrs_01_24109__b17718831191918">true</strong>, the default value is <strong id="mrs_01_24109__b88061347196">636</strong>. Otherwise, the value is <strong id="mrs_01_24109__b8627436151918">389</strong>.</p>
+</li></ul>
+<ul id="mrs_01_24109__ul17646152274211"><li id="mrs_01_24109__li15646222184211"><strong id="mrs_01_24109__b5625101355313">auth_dn_prefix, auth_dn_suffix</strong><p id="mrs_01_24109__p1737813121420">Prefix and suffix used to construct the DN to bind to.</p>
+<p id="mrs_01_24109__p337881234214">The generated DN will be constructed as a string in the following format: <strong id="mrs_01_24109__b423419032414">auth_dn_prefix</strong> + <strong id="mrs_01_24109__b104516332418">escape(user_name)</strong> + <strong id="mrs_01_24109__b2675196122419">auth_dn_suffix</strong>.</p>
+<p id="mrs_01_24109__p20378912164212">Note that you should use a comma (,) as the first non-space character of <strong id="mrs_01_24109__b23241255132417">auth_dn_suffix</strong>.</p>
+</li></ul>
+<ul id="mrs_01_24109__ul172241625174218"><li id="mrs_01_24109__li4224102519425"><strong id="mrs_01_24109__b1165151916530">enable_tls</strong><p id="mrs_01_24109__p193781512174216">A tag to trigger the use of the secure connection to the OpenLDAP server.</p>
+<p id="mrs_01_24109__p83781312124210">Set it to <strong id="mrs_01_24109__b6574195182613">no</strong> for the plaintext (ldap://) protocol (not recommended).</p>
+<p id="mrs_01_24109__p4378131214428">Set it to <strong id="mrs_01_24109__b11837102933016">yes</strong> for LDAP over SSL/TLS (ldaps://) protocol (recommended and default).</p>
+</li></ul>
+<ul id="mrs_01_24109__ul177752884213"><li id="mrs_01_24109__li47771128164219"><strong id="mrs_01_24109__b11753192275318">tls_minimum_protocol_version</strong><p id="mrs_01_24109__p15378212154210">Minimum protocol version of SSL/TLS.</p>
+<p id="mrs_01_24109__p173781312114216">The value can be <strong id="mrs_01_24109__b458186133315">ssl2</strong>, <strong id="mrs_01_24109__b181349823313">ssl3</strong>, <strong id="mrs_01_24109__b311131193313">tls1.0</strong>, <strong id="mrs_01_24109__b6961181419333">tls1.1</strong>, or <strong id="mrs_01_24109__b826251714332">tls1.2</strong> (default).</p>
+</li></ul>
+<ul id="mrs_01_24109__ul51441931154219"><li id="mrs_01_24109__li17144183164212"><strong id="mrs_01_24109__b27291626105313">tls_require_cert</strong><p id="mrs_01_24109__p103781612104213">SSL/TLS peer certificate verification behavior.</p>
+<p id="mrs_01_24109__p73781712194210">The value can be <strong id="mrs_01_24109__b03771524133417">never</strong>, <strong id="mrs_01_24109__b63051627153413">allow</strong>, <strong id="mrs_01_24109__b54572917342">try</strong>, or <strong id="mrs_01_24109__b15951123117340">require</strong> (default).</p>
+</li></ul>
+<ul id="mrs_01_24109__ul6224133384211"><li id="mrs_01_24109__li922413364210"><strong id="mrs_01_24109__b4123135313">tls_cert_file</strong><p id="mrs_01_24109__p1378212174213">Certificate file.</p>
+</li></ul>
+<ul id="mrs_01_24109__ul1673815343423"><li id="mrs_01_24109__li873810344423"><strong id="mrs_01_24109__b1072053418531">tls_key_file</strong><p id="mrs_01_24109__p13781412124213">Certificate key file.</p>
+</li></ul>
+<ul id="mrs_01_24109__ul1843843644212"><li id="mrs_01_24109__li11438123614214"><strong id="mrs_01_24109__b1739344314536">tls_ca_cert_file</strong><p id="mrs_01_24109__p937818129427">CA certificate file.</p>
+</li></ul>
+<ul id="mrs_01_24109__ul10995173784213"><li id="mrs_01_24109__li129951437174218"><strong id="mrs_01_24109__b8272164715312">tls_ca_cert_dir</strong><p id="mrs_01_24109__p337881217427">Directory where the CA certificate is stored.</p>
+</li></ul>
+<ul id="mrs_01_24109__ul5830133910426"><li id="mrs_01_24109__li3830439104214"><strong id="mrs_01_24109__b1768965045313">tls_cipher_suite</strong><p id="mrs_01_24109__p18378151210422">Allowed encryption suite.</p>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24251.html">User Management and Authentication</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24112.html b/docs/mrs/component-operation-guide/mrs_01_24112.html
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+<a name="mrs_01_24112"></a><a name="mrs_01_24112"></a>
+
+<h1 class="topictitle1">Configuring HBase Data Compression and Encoding</h1>
+<div id="body0000001159461809"><div class="section" id="mrs_01_24112__section856117255431"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_24112__p8867193317424">HBase encodes data blocks in HFiles to reduce duplicate keys in KeyValues, reducing used space. Currently, the following data block encoding modes are supported: NONE, PREFIX, DIFF, FAST_DIFF, and ROW_INDEX_V1. NONE indicates that data blocks are not encoded. HBase also supports compression algorithms for HFile compression. The following algorithms are supported by default: NONE, GZ, SNAPPY, and ZSTD. NONE indicates that HFiles are not compressed.</p>
+<p id="mrs_01_24112__p513713147219">The two methods are used on the HBase column family. They can be used together or separately.</p>
+</div>
+<div class="section" id="mrs_01_24112__section1955213122560"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_24112__ul14649132212816"><li id="mrs_01_24112__li16649122202810">You have installed an HBase client. For example, the client is installed in <strong id="mrs_01_24112__b1030812712394">opt/client</strong>.</li><li id="mrs_01_24112__li14428928142917">If authentication has been enabled for HBase, you must have the corresponding operation permissions. For example, you must have the creation (C) or administration (A) permission on the corresponding namespace or higher-level items to create a table, and the creation (C) or administration (A) permission on the created table or higher-level items to modify a table. For details about how to grant permissions, see <a href="mrs_01_1608.html">Creating HBase Roles</a>.</li></ul>
+</div>
+<div class="section" id="mrs_01_24112__section190602818563"><h4 class="sectiontitle">Procedure</h4><p id="mrs_01_24112__p9644134318481"><strong id="mrs_01_24112__b14791661761">Setting data block encoding and compression algorithms during creation</strong></p>
+<ul id="mrs_01_24112__ul183151238122214"><li id="mrs_01_24112__li8316638122217"><strong id="mrs_01_24112__b13146500619">Method 1: Using hbase shell</strong><ol id="mrs_01_24112__ol1892965082215"><li id="mrs_01_24112__li189291850162213"><span id="mrs_01_24112__ph104395241162">Log in to the node where the client is installed as the client installation user.</span></li><li id="mrs_01_24112__li1192912503223">Run the following command to go to the client directory:<p id="mrs_01_24112__p15265165712228"><a name="mrs_01_24112__li1192912503223"></a><a name="li1192912503223"></a><strong id="mrs_01_24112__b315455003318">cd /opt/client</strong></p>
+</li><li id="mrs_01_24112__li1929125022219">Run the following command to configure environment variables:<p id="mrs_01_24112__p11823155812211"><a name="mrs_01_24112__li1929125022219"></a><a name="li1929125022219"></a><strong id="mrs_01_24112__b915445016330">source bigdata_env</strong></p>
+</li><li id="mrs_01_24112__li1392975018225">If the Kerberos authentication is enabled for the current cluster, run the following command to authenticate the user. If Kerberos authentication is disabled for the current cluster, skip this step:<p id="mrs_01_24112__p1092116222310"><a name="mrs_01_24112__li1392975018225"></a><a name="li1392975018225"></a><strong id="mrs_01_24112__b159910713018">kinit</strong> <em id="mrs_01_24112__i13993715300">Component service user</em></p>
+<p id="mrs_01_24112__p1692142152314">For example, <strong id="mrs_01_24112__b357603313211">kinit hbaseuser</strong>.</p>
+</li><li id="mrs_01_24112__li293014506225">Run the following HBase client command:<p id="mrs_01_24112__p1146212582316"><a name="mrs_01_24112__li293014506225"></a><a name="li293014506225"></a><strong id="mrs_01_24112__b11551509336">hbase shell</strong></p>
+</li><li id="mrs_01_24112__li119301503224">Create a table.<div class="p" id="mrs_01_24112__p18582752319"><a name="mrs_01_24112__li119301503224"></a><a name="li119301503224"></a><strong id="mrs_01_24112__b11930852117">create '</strong><em id="mrs_01_24112__i121401541018">t1</em><strong id="mrs_01_24112__b14991010211">', {NAME =&gt; '</strong><em id="mrs_01_24112__i19411211728">f1</em><strong id="mrs_01_24112__b149121513329">', COMPRESSION =&gt; '</strong><em id="mrs_01_24112__i167626142211">SNAPPY</em><strong id="mrs_01_24112__b56398252028">', DATA_BLOCK_ENCODING =&gt; '</strong><em id="mrs_01_24112__i6214326929">FAST_DIFF</em><strong id="mrs_01_24112__b564012515214">'}</strong><div class="note" id="mrs_01_24112__note14461142814234"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_24112__ul1050934116236"><li id="mrs_01_24112__li1350944152311"><em id="mrs_01_24112__i164851658152115">t1</em>: indicates the table name.</li><li id="mrs_01_24112__li1350912415237"><em id="mrs_01_24112__i1340084414308">f1</em>: indicates the column family name.</li><li id="mrs_01_24112__li17509164116234"><em id="mrs_01_24112__i164041528313">SNAPPY</em>: indicates the column family uses the SNAPPY compression algorithm.</li><li id="mrs_01_24112__li20509174112237"><em id="mrs_01_24112__i466195813210">FAST_DIFF</em>: indicates FAST_DIFF is used for encoding.</li><li id="mrs_01_24112__li145091041192311">The parameter in the braces specifies the column family. You can specify multiple column families using multiple braces and separate them by commas (,). For details about table creation statements, run the <strong id="mrs_01_24112__b19988173512314">help 'create'</strong> statement in the HBase shell.</li></ul>
+</div></div>
+</div>
+</li></ol>
+</li><li id="mrs_01_24112__li831653852210"><strong id="mrs_01_24112__b1961414314333">Method 2: Using Java APIs</strong><div class="p" id="mrs_01_24112__p93351536103919">The following code snippet shows only how to set the encoding and compression modes of a column family when creating a table. For complete code for creating a table and how to use the code to create a table, see "HBase Development Guide" &gt; "Modifying a Table" in <em id="mrs_01_24112__i148338331517"><span id="mrs_01_24112__text195101951108"></span></em>.<pre class="screen" id="mrs_01_24112__screen137911513329">TableDescriptorBuilder htd = TableDescriptorBuilder.newBuilder(TableName.valueOf("t1"));// Create a descriptor for table <strong id="mrs_01_24112__b199911308462">t1</strong>.
+ColumnFamilyDescriptorBuilder hcd = ColumnFamilyDescriptorBuilder.newBuilder(Bytes.toBytes("f1"));// Create a builder for column family <strong id="mrs_01_24112__b1656793731317">f1</strong>.
+hcd.setDataBlockEncoding(DataBlockEncoding.FAST_DIFF);// Set the encoding mode of column family <strong id="mrs_01_24112__b1632747199">f1</strong> to <strong id="mrs_01_24112__b381413595567">FAST_DIFF</strong>.
+hcd.setCompressionType(Compression.Algorithm.SNAPPY);// Set the compression algorithm of column family <strong id="mrs_01_24112__b68388162199">f1</strong> to <strong id="mrs_01_24112__b102759316570">SNAPPY</strong>.
+htd.setColumnFamily(hcd.build())// Add the column family <strong id="mrs_01_24112__b4451191005713">f1</strong> to the descriptor of table <strong id="mrs_01_24112__b9451101011577">t1</strong>.</pre>
+</div>
+</li></ul>
+<p id="mrs_01_24112__p671955972114"><strong id="mrs_01_24112__b102211347134418">Setting or modifying the data block encoding mode and compression algorithm for an existing table</strong></p>
+<ul id="mrs_01_24112__ul72911249153114"><li id="mrs_01_24112__li13291124915318"><strong id="mrs_01_24112__b581671143614">Method 1: Using hbase shell</strong><ol id="mrs_01_24112__ol1027135415311"><li id="mrs_01_24112__li52713544319"><span id="mrs_01_24112__ph85785267482">Log in to the node where the client is installed as the client installation user.</span></li><li id="mrs_01_24112__li1027115545316">Run the following command to go to the client directory:<p id="mrs_01_24112__p15908572318"><a name="mrs_01_24112__li1027115545316"></a><a name="li1027115545316"></a><strong id="mrs_01_24112__b1762164232614">cd /opt/client</strong></p>
+</li><li id="mrs_01_24112__li427115545310">Run the following command to configure environment variables:<p id="mrs_01_24112__p37521559133118"><a name="mrs_01_24112__li427115545310"></a><a name="li427115545310"></a><strong id="mrs_01_24112__b1962154219269">source bigdata_env</strong></p>
+</li><li id="mrs_01_24112__li1327110542319">If the Kerberos authentication is enabled for the current cluster, run the following command to authenticate the user. If Kerberos authentication is disabled for the current cluster, skip this step:<p id="mrs_01_24112__p72961825323"><a name="mrs_01_24112__li1327110542319"></a><a name="li1327110542319"></a><strong id="mrs_01_24112__b1064850561">kinit</strong> <em id="mrs_01_24112__i1624705967">Component service user</em></p>
+<p id="mrs_01_24112__p929617213210">For example, <strong id="mrs_01_24112__b2676162054611">kinit hbaseuser</strong>.</p>
+</li><li id="mrs_01_24112__li152711954113114">Run the following HBase client command:<p id="mrs_01_24112__p15303443211"><a name="mrs_01_24112__li152711954113114"></a><a name="li152711954113114"></a><strong id="mrs_01_24112__b152771656162611">hbase shell</strong></p>
+</li><li id="mrs_01_24112__li1727115544315">Run the following command to modify the table:<p id="mrs_01_24112__p1398325103212"><a name="mrs_01_24112__li1727115544315"></a><a name="li1727115544315"></a><strong id="mrs_01_24112__b1411032012715">alter '</strong><em id="mrs_01_24112__i480572062710">t1</em><strong id="mrs_01_24112__b11706529142716">', {NAME =&gt; '</strong><em id="mrs_01_24112__i728553019273">f1</em><strong id="mrs_01_24112__b16561334152715">', COMPRESSION =&gt; '</strong><em id="mrs_01_24112__i431443519276">SNAPPY</em><strong id="mrs_01_24112__b12714123918274">', DATA_BLOCK_ENCODING =&gt; '</strong><em id="mrs_01_24112__i1306174072717">FAST_DIFF</em><strong id="mrs_01_24112__b3715123902719">'}</strong></p>
+</li></ol>
+</li><li id="mrs_01_24112__li12291164915311"><strong id="mrs_01_24112__b99802515468">Method 2: Using Java APIs</strong><p id="mrs_01_24112__p1355975003919">The following code snippet shows only how to modify the encoding and compression modes of a column family in an existing table. For complete code for modifying a table and how to use the code to modify a table, see "HBase Development Guide".</p>
+<pre class="screen" id="mrs_01_24112__screen9649349131512">TableDescriptor htd = admin.getDescriptor(TableName.valueOf("t1"));// Obtain the descriptor of table <strong id="mrs_01_24112__b1860154525214">t1</strong>.
+ColumnFamilyDescriptor originCF = htd.getColumnFamily(Bytes.toBytes("f1"));// Obtain the descriptor of column family <strong id="mrs_01_24112__b187615581307">f1</strong>.
+builder.ColumnFamilyDescriptorBuilder hcd = ColumnFamilyDescriptorBuilder.newBuilder(originCF);// Create a builder based on the existing column family attributes.
+hcd.setDataBlockEncoding(DataBlockEncoding.FAST_DIFF);// Change the encoding mode of the column family to <strong id="mrs_01_24112__b1358764519578">FAST_DIFF</strong>.
+hcd.setCompressionType(Compression.Algorithm.SNAPPY);// Change the compression algorithm of the column family to <strong id="mrs_01_24112__b151731747155713">SNAPPY</strong>.
+admin.modifyColumnFamily(TableName.valueOf("t1"), hcd.build());// Submit to the server to modify the attributes of column family <strong id="mrs_01_24112__b11786334651">f1</strong>.</pre>
+<p id="mrs_01_24112__p1733254712215">After the modification, the encoding and compression modes of the existing HFile will take effect after the next compaction.</p>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0500.html">Using HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24117.html b/docs/mrs/component-operation-guide/mrs_01_24117.html
new file mode 100644
index 000000000..fe71ba81a
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24117.html
@@ -0,0 +1,27 @@
+<a name="mrs_01_24117"></a><a name="mrs_01_24117"></a>
+
+<h1 class="topictitle1">Hive Configuration Problems</h1>
+<div id="body0000001104844650"><ul id="mrs_01_24117__ul74251315143915"><li id="mrs_01_24117__li7425161510399">The error message "java.lang.OutOfMemoryError: Java heap space." is displayed during Hive SQL execution.<p id="mrs_01_24117__p94761402111"><a name="mrs_01_24117__li7425161510399"></a><a name="li7425161510399"></a>Solution:</p>
+<ul id="mrs_01_24117__ul1982154616385"><li id="mrs_01_24117__li182346193818">For MapReduce tasks, increase the values of the following parameters:<p id="mrs_01_24117__p11983157175111"><a name="mrs_01_24117__li182346193818"></a><a name="li182346193818"></a><strong id="mrs_01_24117__b161471854103817">set mapreduce.map.memory.mb=8192;</strong></p>
+<p id="mrs_01_24117__p139834745118"><strong id="mrs_01_24117__b1617705453812">set mapreduce.map.java.opts=-Xmx6554M;</strong></p>
+<p id="mrs_01_24117__p498377125116"><strong id="mrs_01_24117__b1017855463815">set mapreduce.reduce.memory.mb=8192;</strong></p>
+<p id="mrs_01_24117__p1498307185119"><strong id="mrs_01_24117__b1417915493817">set mapreduce.reduce.java.opts=-Xmx6554M;</strong></p>
+</li><li id="mrs_01_24117__li878017433916">For Tez tasks, increase the value of the following parameter:<p id="mrs_01_24117__p79831970516"><a name="mrs_01_24117__li878017433916"></a><a name="li878017433916"></a><strong id="mrs_01_24117__b076108183911">set hive.tez.container.size=8192;</strong></p>
+</li></ul>
+</li><li id="mrs_01_24117__li542571511399">After a column name is changed to a new one using the Hive SQL <strong id="mrs_01_24117__b2071184945018">as</strong> statement, the error message "Invalid table alias or column reference 'xxx'." is displayed when the original column name is used for compilation.<p id="mrs_01_24117__p1598367115115">Solution: Run the <strong id="mrs_01_24117__b3848147204011">set hive.cbo.enable=true;</strong> statement.</p>
+</li><li id="mrs_01_24117__li542517150394">The error message "Unsupported SubQuery Expression 'xxx': Only SubQuery expressions that are top level conjuncts are allowed." is displayed during Hive SQL subquery compilation.<p id="mrs_01_24117__p1998314755117"><a name="mrs_01_24117__li542517150394"></a><a name="li542517150394"></a>Solution: Run the <strong id="mrs_01_24117__b89197114112">set hive.cbo.enable=true</strong><strong id="mrs_01_24117__b5884292416">;</strong> statement.</p>
+</li><li id="mrs_01_24117__li114256155395">The error message "CalciteSubquerySemanticException [Error 10249]: Unsupported SubQuery Expression  Currently SubQuery expressions are only allowed as Where and Having Clause predicates." is displayed during Hive SQL subquery compilation.<p id="mrs_01_24117__p1498319715510"><a name="mrs_01_24117__li114256155395"></a><a name="li114256155395"></a>Solution: Run the <strong id="mrs_01_24117__b66495485610">set hive.cbo.enable=true;</strong> statement.</p>
+</li><li id="mrs_01_24117__li1542531519391">The error message "Error running query: java.lang.AssertionError: Cannot add expression of different type to set." is displayed during Hive SQL compilation.<p id="mrs_01_24117__p19832713516"><a name="mrs_01_24117__li1542531519391"></a><a name="li1542531519391"></a>Solution: Run the <strong id="mrs_01_24117__b0912144220569">set hive.cbo.enable=false;</strong> statement.</p>
+</li><li id="mrs_01_24117__li12425115153916">The error message "java.lang.NullPointerException at org.apache.hadoop.hive.ql.udf.generic.GenericUDAFComputeStats$GenericUDAFNumericStatsEvaluator.init." is displayed during Hive SQL execution.<p id="mrs_01_24117__p18984173514"><a name="mrs_01_24117__li12425115153916"></a><a name="li12425115153916"></a>Solution: Run the <strong id="mrs_01_24117__b194101485578">set hive.map.aggr=false;</strong> statement.</p>
+</li><li id="mrs_01_24117__li1042517156392">When <strong id="mrs_01_24117__b390832513585">hive.auto.convert.join</strong> is set to <strong id="mrs_01_24117__b83481428135814">true</strong> (enabled by default) and <strong id="mrs_01_24117__b43561042115812">hive.optimize.skewjoin</strong> is set to <strong id="mrs_01_24117__b1538434718587">true</strong>, the error message "ClassCastException org.apache.hadoop.hive.ql.plan.ConditionalWork cannot be cast to org.apache.hadoop.hive.ql.plan.MapredWork" is displayed.<p id="mrs_01_24117__p99846713516">Solution: Run the <strong id="mrs_01_24117__b10656858165910">set hive.optimize.skewjoin=false;</strong> statement.</p>
+</li><li id="mrs_01_24117__li154251515163911">When <strong id="mrs_01_24117__b45115261904">hive.auto.convert.join</strong> is set to <strong id="mrs_01_24117__b02123291907">true</strong> (enabled by default), <strong id="mrs_01_24117__b1937311359016">hive.optimize.skewjoin</strong> is set to <strong id="mrs_01_24117__b1091110360012">true</strong>, and <strong id="mrs_01_24117__b15381105011013">hive.exec.parallel</strong> is set to <strong id="mrs_01_24117__b36217132117">true</strong>, the error message "java.io.FileNotFoundException: File does not exist:xxx/reduce.xml" is displayed.<p id="mrs_01_24117__p121221524184216">Solution:</p>
+<ul id="mrs_01_24117__ul106001291423"><li id="mrs_01_24117__li1985053411421">Method 1: Switch the execution engine to Tez. For details, see <a href="mrs_01_1750.html">Switching the Hive Execution Engine to Tez</a>.</li><li id="mrs_01_24117__li13425165612423">Method 2: Run the <strong id="mrs_01_24117__b1961610306517">set hive.exec.parallel=false;</strong> statement.</li><li id="mrs_01_24117__li169581526194216">Method 3: Run the <strong id="mrs_01_24117__b437983717219">set hive.auto.convert.join=false;</strong> statement.</li></ul>
+</li><li id="mrs_01_24117__li1435993319332">Eerror message "NullPointerException at org.apache.hadoop.hive.ql.exec.CommonMergeJoinOperator.mergeJoinComputeKeys" is displayed when Hive on Tez executes bucket map join.<p id="mrs_01_24117__p3368163310332"><a name="mrs_01_24117__li1435993319332"></a><a name="li1435993319332"></a>Solution: Run the <strong id="mrs_01_24117__b1145014376214">set tez.am.container.reuse.enabled=false;</strong> statement.</p>
+</li></ul>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1752.html">Common Issues About Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24119.html b/docs/mrs/component-operation-guide/mrs_01_24119.html
new file mode 100644
index 000000000..bd9b2c116
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24119.html
@@ -0,0 +1,75 @@
+<a name="mrs_01_24119"></a><a name="mrs_01_24119"></a>
+
+<h1 class="topictitle1">GeoMesa Command Line</h1>
+<div id="body0000001108144836"><div class="note" id="mrs_01_24119__note743381417182"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_24119__p1043317141187">This section applies only to MRS 3.1.0 or later.</p>
+</div></div>
+<p id="mrs_01_24119__p8060118">This section describes common GeoMesa commands. For more GeoMesa commands, visit <a href="https://www.geomesa.org/documentation/user/accumulo/commandline.html" target="_blank" rel="noopener noreferrer">https://www.geomesa.org/documentation/user/accumulo/commandline.html</a>.</p>
+<p id="mrs_01_24119__p180543719182">After installing the HBase client and loading environment variables, you can use the geomesa-hbase command line.</p>
+<ul id="mrs_01_24119__ul4991861483"><li id="mrs_01_24119__li129913617482">Viewing <strong id="mrs_01_24119__b842352706164734">classpath</strong><p id="mrs_01_24119__p115301919183917">After you run the <strong id="mrs_01_24119__b842352706164748">classpath</strong> command, all <strong id="mrs_01_24119__b12208122122414">classpath</strong> information of the current command line tool will be returned.</p>
+<p id="mrs_01_24119__p55302019193915"><strong id="mrs_01_24119__b1179383434018">bin/geomesa-hbase classpath</strong></p>
+</li><li id="mrs_01_24119__li14991766486">Creating a table<p id="mrs_01_24119__p11523191933916"><a name="mrs_01_24119__li14991766486"></a><a name="li14991766486"></a>Run the <strong id="mrs_01_24119__b842352706164833">create-schema</strong> command to create a table. When creating a table, you need to specify the directory name, table name, and table specifications at least.</p>
+<p id="mrs_01_24119__p19436191414016"><strong id="mrs_01_24119__b9564123124011">bin/geomesa-hbase create-schema -c geomesa -f test -s Who:String,What:java.lang.Long,When:Date,*Where:Point:srid=4326,Why:String</strong></p>
+</li></ul>
+<ul id="mrs_01_24119__ul193931545194719"><li id="mrs_01_24119__li1039384514719">Describing a table<p id="mrs_01_24119__p1652351993917"><a name="mrs_01_24119__li1039384514719"></a><a name="li1039384514719"></a>Run the <strong id="mrs_01_24119__b842352706165041">describe-schema</strong> command to obtain table descriptions. When describing a table, you need to specify the directory name and table name.</p>
+<p id="mrs_01_24119__p65231519133915"><strong id="mrs_01_24119__b1523719183917">bin/geomesa-hbase describe-schema -c geomesa -f test</strong></p>
+</li><li id="mrs_01_24119__li43931045134718">Importing data in batches<p id="mrs_01_24119__p1852371910393"><a name="mrs_01_24119__li43931045134718"></a><a name="li43931045134718"></a>Run the <strong id="mrs_01_24119__b842352706165232">ingest</strong> command to import data in batches. When importing data, you need to specify the directory name, table name, table specifications, and the related data converter.</p>
+<p id="mrs_01_24119__p17523819193915">The data in the <strong id="mrs_01_24119__b9929491883">data.csv</strong> file contains license plate number, vehicle color, longitude, latitude, and time. Save the data table to the folder.</p>
+<pre class="screen" id="mrs_01_24119__screen13523319183919">AAA,red,113.918417,22.505892,2017-04-09 18:03:46
+BBB,white,113.960719,22.556511,2017-04-24 07:38:47
+CCC,blue,114.088333,22.637222,2017-04-23 15:07:54
+DDD,yellow,114.195456,22.596103,2017-04-21 21:27:06
+EEE,black,113.897614,22.551331,2017-04-09 09:34:48</pre>
+<p id="mrs_01_24119__p5523181917394">Table structure definition: <strong id="mrs_01_24119__b84235270614151">myschema.sft</strong>. Save <strong id="mrs_01_24119__b842352706141523">myschema.sft</strong> to the <strong id="mrs_01_24119__b842352706141532">conf</strong> folder of the GeoMesa command line tool.</p>
+<pre class="screen" id="mrs_01_24119__screen4524141923910">geomesa.sfts.cars = {
+   attributes = [
+        { name = "carid", type = "String", index = true }
+        { name = "color", type = "String", index = false }
+        { name = "time", type = "Date",   index = false }
+        { name = "geom", type = "Point",  index = true,srid = 4326,default = true }
+   ]
+}</pre>
+<p id="mrs_01_24119__p1952431915392">Converter definition: <strong id="mrs_01_24119__b842352706141556">myconvertor.convert</strong> Save <strong id="mrs_01_24119__b842352706141610">myconvertor.convert</strong> to the <strong id="mrs_01_24119__b842352706141616">conf</strong> folder of the GeoMesa command line tool.</p>
+<pre class="screen" id="mrs_01_24119__screen20525161933911">geomesa.converters.cars= {
+      type   = "delimited-text",
+      format = "CSV",
+      id-field = "$fid",
+      fields = [
+        { name = "fid",     transform = "concat($1,$5)" }
+        { name = "carid",   transform = "$1::string" }
+        { name = "color",   transform = "$2::string" }
+        { name = "lon",     transform = "$3::double" }
+        { name = "lat",     transform = "$4::double" } 
+        { name = "geom",    transform = "point($lon,$lat)" }
+        { name = "time",    transform = "date('YYYY-MM-dd HH:mm:ss',$5)" }
+      ]
+}</pre>
+<p id="mrs_01_24119__p18525131983913">Run the following command to import data:</p>
+<p id="mrs_01_24119__p4525919153916"><strong id="mrs_01_24119__b15525719173910">bin/geomesa-hbase ingest -c geomesa -C conf/myconvertor.convert -s conf/myschema.sft data/data.csv</strong></p>
+<p id="mrs_01_24119__p15608182054117">For details about other parameters for importing data, visit <a href="https://www.geomesa.org/documentation/user/accumulo/examples.html#ingesting-data" target="_blank" rel="noopener noreferrer">https://www.geomesa.org/documentation/user/accumulo/examples.html#ingesting-data</a>.</p>
+</li><li id="mrs_01_24119__li10394545164719">Querying explanations<p id="mrs_01_24119__p20529181920393"><a name="mrs_01_24119__li10394545164719"></a><a name="li10394545164719"></a>Run the <strong id="mrs_01_24119__b84235270616588">explain</strong> command to obtain execution plan explanations of the specified query statement. You need to specify the directory name, table name, and query statement.</p>
+<p id="mrs_01_24119__p325383694210"><strong id="mrs_01_24119__b13970439184210">bin/geomesa-hbase explain -c geomesa -f cars -q "carid = 'BBB'"</strong></p>
+</li><li id="mrs_01_24119__li13394144514712">Analyzing statistics<p id="mrs_01_24119__p1552991933912"><a name="mrs_01_24119__li13394144514712"></a><a name="li13394144514712"></a>Run the <strong id="mrs_01_24119__b84235270617543">stats-analyze</strong> command to conduct statistical analysis on the data table. In addition, you can run the <strong id="mrs_01_24119__b84235270617627">stats-bounds</strong>, <strong id="mrs_01_24119__b84235270617632">stats-count</strong>, <strong id="mrs_01_24119__b84235270617638">stats-histogram</strong>, and <strong id="mrs_01_24119__b84235270617644">stats-top-k</strong> commands to collect more detailed statistics on the data table.</p>
+<p id="mrs_01_24119__p031911224417"><strong id="mrs_01_24119__b8992238134419">bin/geomesa-hbase stats-analyze -c geomesa -f cars</strong></p>
+<p id="mrs_01_24119__p1291811134418"><strong id="mrs_01_24119__b79999386447">bin/geomesa-hbase stats-bounds -c geomesa -f cars</strong></p>
+<p id="mrs_01_24119__p23966183442"><strong id="mrs_01_24119__b711399444">bin/geomesa-hbase stats-count -c geomesa -f cars</strong></p>
+<p id="mrs_01_24119__p928714266449"><strong id="mrs_01_24119__b173939184410">bin/geomesa-hbase stats-histogram -c geomesa -f cars</strong></p>
+<p id="mrs_01_24119__p108243328449"><strong id="mrs_01_24119__b13513934410">bin/geomesa-hbase stats-top-k -c geomesa -f cars</strong></p>
+</li><li id="mrs_01_24119__li4394545114715">Exporting a feature<p id="mrs_01_24119__p2529181953917"><a name="mrs_01_24119__li4394545114715"></a><a name="li4394545114715"></a>Run the <strong id="mrs_01_24119__b84235270617810">export</strong> command to export a feature. When exporting the feature, you must specify the directory name and table name. In addition, you can specify a query statement to export the feature.</p>
+<p id="mrs_01_24119__p1199734184510"><strong id="mrs_01_24119__b12961191453">bin/geomesa-hbase export -c geomesa -f cars -q "carid = 'BBB'"</strong></p>
+</li><li id="mrs_01_24119__li183942455473">Deleting a feature<p id="mrs_01_24119__p25291919193914"><a name="mrs_01_24119__li183942455473"></a><a name="li183942455473"></a>Run the <strong id="mrs_01_24119__b200895014">delete-features</strong> command to delete a feature. When deleting the feature, you must specify the directory name and table name. In addition, you can specify a query statement to delete the feature.</p>
+<p id="mrs_01_24119__p10711181134611"><strong id="mrs_01_24119__b1642641564619">bin/geomesa-hbase delete-features -c geomesa -f cars -q "carid = 'BBB'"</strong></p>
+</li><li id="mrs_01_24119__li739417455473">Obtain the names of all tables in the directory.<p id="mrs_01_24119__p1352941943917"><a name="mrs_01_24119__li739417455473"></a><a name="li739417455473"></a>Run the <strong id="mrs_01_24119__b842352706171034">get-type-names</strong> command to obtain the names of tables in the specified directory.</p>
+<p id="mrs_01_24119__p514444618468"><strong id="mrs_01_24119__b104311849114610">bin/geomesa-hbase get-type-names -c geomesa</strong></p>
+</li><li id="mrs_01_24119__li19394164515474">Deleting a table<p id="mrs_01_24119__p1053012199392"><a name="mrs_01_24119__li19394164515474"></a><a name="li19394164515474"></a>Run the <strong id="mrs_01_24119__b842352706171115">remove-schema</strong> command to delete a table. You need to specify the directory name and table name at least.</p>
+<p id="mrs_01_24119__p17339537478"><strong id="mrs_01_24119__b1739114134710">bin/geomesa-hbase remove-schema -c geomesa -f test</strong></p>
+<p id="mrs_01_24119__p1269516924720"><strong id="mrs_01_24119__b154331414720">bin/geomesa-hbase remove-schema -c geomesa -f cars</strong></p>
+</li><li id="mrs_01_24119__li53943455472">Deleting a catalog<p id="mrs_01_24119__p125308191393"><a name="mrs_01_24119__li53943455472"></a><a name="li53943455472"></a>Run the <strong id="mrs_01_24119__b842352706171238">delete-catalog</strong> command to delete the specified catalog.</p>
+<p id="mrs_01_24119__p13752193620477"><strong id="mrs_01_24119__b18314144044720">bin/geomesa-hbase delete-catalog -c geomesa</strong></p>
+</li></ul>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0500.html">Using HBase</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24165.html b/docs/mrs/component-operation-guide/mrs_01_24165.html
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index 000000000..a3d46a85c
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+++ b/docs/mrs/component-operation-guide/mrs_01_24165.html
@@ -0,0 +1,32 @@
+<a name="mrs_01_24165"></a><a name="mrs_01_24165"></a>
+
+<h1 class="topictitle1">Single-Table Concurrent Write</h1>
+<div id="body0000001119780226"><div class="section" id="mrs_01_24165__section1782284465013"><h4 class="sectiontitle">Hudi Single-Table Concurrent Write Solution</h4><ol id="mrs_01_24165__ol931014493501"><li id="mrs_01_24165__li1931034918503">Uses an external service (ZooKeeper or Hive MetaStore) as the distributed mutex lock service.</li><li id="mrs_01_24165__li153101749125012">Files can be concurrently written, but commits cannot be concurrent. The commit operation is encapsulated in a transaction.</li><li id="mrs_01_24165__li1831034918506">When the commit operation is performed, the system performs conflict check. If the modified file list in the current commit operation overlaps with the file list in the commit operation after the instance time, the commit operation fails and the write operation is invalid.<p id="mrs_01_24165__p1954944919407"><a name="mrs_01_24165__li1831034918506"></a><a name="li1831034918506"></a><span><img id="mrs_01_24165__image4224550194018" src="en-us_image_0000001349090333.png"></span></p>
+</li></ol>
+</div>
+<div class="section" id="mrs_01_24165__section181975219531"><h4 class="sectiontitle">Precautions for Using the Concurrency Mechanism</h4><ol id="mrs_01_24165__ol933615619538"><li id="mrs_01_24165__li53364618532">For <strong id="mrs_01_24165__b44074231374">insert</strong> and <strong id="mrs_01_24165__b14411826772">bulk_insert</strong> operations, the current Hudi concurrency mechanism cannot ensure that the primary key of the table is unique after data is written. You need to ensure that the primary key is unique.</li><li id="mrs_01_24165__li20336116145310">For incremental queries, data consumption and checkpoints may be out of order. As a result, multiple concurrent write operations are completed at different time points.</li><li id="mrs_01_24165__li880119186387">Concurrent write is supported only after this feature is enabled.</li></ol>
+</div>
+<div class="section" id="mrs_01_24165__section1264615975419"><h4 class="sectiontitle">How to Use the Concurrency Mechanism</h4><ol id="mrs_01_24165__ol7621329185419"><li id="mrs_01_24165__li1262629185410">Enable the concurrent write mechanism.<p id="mrs_01_24165__p429122811019"><a name="mrs_01_24165__li1262629185410"></a><a name="li1262629185410"></a><strong id="mrs_01_24165__b1061903811542">hoodie.write.concurrency.mode=optimistic_concurrency_control</strong></p>
+<p id="mrs_01_24165__p172919281904"><strong id="mrs_01_24165__b126229387549">hoodie.cleaner.policy.failed.writes=LAZY</strong></p>
+</li><li id="mrs_01_24165__li1289334014547">Sets the concurrent lock mode.<p id="mrs_01_24165__p979812521114"><a name="mrs_01_24165__li1289334014547"></a><a name="li1289334014547"></a>Hive MetaStore:</p>
+<p id="mrs_01_24165__p197983521418"><strong id="mrs_01_24165__b834724714554">hoodie.write.lock.provider=org.apache.hudi.hive.HiveMetastoreBasedLockProvider</strong></p>
+<p id="mrs_01_24165__p579816521115"><strong id="mrs_01_24165__b153481647175514">hoodie.write.lock.hivemetastore.database</strong>=&lt;<em id="mrs_01_24165__i151071519172311">database</em>_<em id="mrs_01_24165__i637231062310">name</em>&gt;</p>
+<p id="mrs_01_24165__p479812521017"><strong id="mrs_01_24165__b1034914470553">hoodie.write.lock.hivemetastore.table</strong>=&lt;<em id="mrs_01_24165__i46414226234">table</em>_<em id="mrs_01_24165__i138851225172314">name</em>&gt;</p>
+<p id="mrs_01_24165__p18565185614554">ZooKeeper:</p>
+<p id="mrs_01_24165__p55514512577"><strong id="mrs_01_24165__b2242171121020">hoodie.write.lock.provider=org.apache.hudi.client.transaction.lock.ZookeeperBasedLockProvider</strong></p>
+<p id="mrs_01_24165__p331017584584"><strong id="mrs_01_24165__b11193974100">hoodie.write.lock.zookeeper.url</strong>=<em id="mrs_01_24165__i13483210151010">&lt;zookeeper_url&gt;</em></p>
+<p id="mrs_01_24165__p571718114593"><strong id="mrs_01_24165__b1392161416101">hoodie.write.lock.zookeeper.port</strong>=<em id="mrs_01_24165__i19330918201010">&lt;zookeeper_port&gt;</em></p>
+<p id="mrs_01_24165__p1655111519579"><strong id="mrs_01_24165__b3206421141014">hoodie.write.lock.zookeeper.lock_key</strong>=&lt;<em id="mrs_01_24165__i949252401010">table_name&gt;</em></p>
+<p id="mrs_01_24165__p161151742135813"><strong id="mrs_01_24165__b9131428111019">hoodie.write.lock.zookeeper.base_path</strong>=<em id="mrs_01_24165__i415115315108">&lt;table_path&gt;</em></p>
+</li></ol>
+<p id="mrs_01_24165__p079811529113">For details about more parameters, see <a href="mrs_01_24032.html">Configuration Reference</a>.</p>
+<div class="caution" id="mrs_01_24165__note1588133691019"><span class="cautiontitle"><img src="public_sys-resources/caution_3.0-en-us.png"> </span><div class="cautionbody"><p id="mrs_01_24165__p88481442121020">If <strong id="mrs_01_24165__b6847931121320">cleaner policy</strong> is set to <strong id="mrs_01_24165__b1140333411315">Lazy</strong>, the system can only check whether the written files expire but cannot check and clear junk files generated by historical writes. That is, junk files cannot be automatically cleared in concurrent scenarios.</p>
+</div></div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24038.html">Data Management and Maintenance</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24167.html b/docs/mrs/component-operation-guide/mrs_01_24167.html
new file mode 100644
index 000000000..5aac55ca6
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+++ b/docs/mrs/component-operation-guide/mrs_01_24167.html
@@ -0,0 +1,106 @@
+<a name="mrs_01_24167"></a><a name="mrs_01_24167"></a>
+
+<h1 class="topictitle1">Single-Table Concurrent Write Configuration</h1>
+<div id="body0000001120009072">
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24167__table12264191413319" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_24167__row73071514830"><th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.1.1.4.1.1"><p id="mrs_01_24167__p73073148310">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="40%" id="mcps1.3.1.1.4.1.2"><p id="mrs_01_24167__p123071714832">Description</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.1.1.4.1.3"><p id="mrs_01_24167__p2307191416317">Default Value</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24167__row13071614938"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24167__p172977516133">hoodie.write.lock.provider</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24167__p1270092412513">Specifies the lock provider. You are advised to set the parameter to <strong id="mrs_01_24167__b17467231559">org.apache.hudi.hive.HiveMetastoreBasedLockProvider</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24167__p17136173302112">org.apache.hudi.client.transaction.lock.ZookeeperBasedLockProvider</p>
+</td>
+</tr>
+<tr id="mrs_01_24167__row930816141134"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24167__p928775119137">hoodie.write.lock.hivemetastore.database</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24167__p6287185181314">Specifies the Hive database.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24167__p13287115171315">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24167__row123081514337"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24167__p828615181311">hoodie.write.lock.hivemetastore.table</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24167__p7286251181312">Specifies the Hive table name.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24167__p028695117136">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24167__row1930831412316"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24167__p328565114131">hoodie.write.lock.client.num_retries</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24167__p4285115151312">Specifies the retry times.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24167__p182841151111313">0</p>
+</td>
+</tr>
+<tr id="mrs_01_24167__row1230820142037"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24167__p7284145141319">hoodie.write.lock.client.wait_time_ms_between_retry</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24167__p9284135191315">Specifies the retry interval.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24167__p162831651141319">10000</p>
+</td>
+</tr>
+<tr id="mrs_01_24167__row1430819141437"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24167__p9283651141317">hoodie.write.lock.conflict.resolution.strategy</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24167__p10283115118136">Specifies the lock provider class, which must be a subclass of <strong id="mrs_01_24167__b1145110376510">ConflictResolutionStrategy</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24167__p16560151213244">org.apache.hudi.client.transaction.SimpleConcurrentFileWritesConflictResolutionStrategy</p>
+</td>
+</tr>
+<tr id="mrs_01_24167__row1188169577"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24167__p16912102019720">hoodie.write.lock.zookeeper.base_path</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24167__p0188392712">Path for storing ZNodes. The parameter must be the same for all concurrent write configurations of the same table.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24167__p1918815912715">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24167__row1212919178716"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24167__p10019353714">hoodie.write.lock.zookeeper.lock_key</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24167__p1012918174717">ZNode name. It is recommended that the ZNode name be the same as the Hudi table name.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24167__p131295171379">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24167__row75519409716"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24167__p455712197819">hoodie.write.lock.zookeeper.connection_timeout_ms</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24167__p5551540173">ZooKeeper connection timeout period.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24167__p10554401570">15000</p>
+</td>
+</tr>
+<tr id="mrs_01_24167__row10487241481"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24167__p539914811817">hoodie.write.lock.zookeeper.port</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24167__p8486241183">ZooKeeper port number.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24167__p4481924187">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24167__row147011301189"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24167__p772013531188">hoodie.write.lock.zookeeper.url</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24167__p7704306811">URL of the ZooKeeper.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24167__p1570163016814">-</p>
+</td>
+</tr>
+<tr id="mrs_01_24167__row41016591086"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.1 "><p id="mrs_01_24167__p4932111111912">hoodie.write.lock.zookeeper.session_timeout_ms</p>
+</td>
+<td class="cellrowborder" valign="top" width="40%" headers="mcps1.3.1.1.4.1.2 "><p id="mrs_01_24167__p151011759585">Session expiration time of ZooKeeper.</p>
+</td>
+<td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.1.4.1.3 "><p id="mrs_01_24167__p16101759883">60000</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24032.html">Configuration Reference</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24170.html b/docs/mrs/component-operation-guide/mrs_01_24170.html
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+<a name="mrs_01_24170"></a><a name="mrs_01_24170"></a>
+
+<h1 class="topictitle1">Configuring Event Log Rollover</h1>
+<div id="body0000001166803143"><div class="section" id="mrs_01_24170__s2ac2b803845a424da3af09bb2d7cec7e"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_24170__ae1e8268c7d2e48a28968f6942b83f358">When the event log mode is enabled for Spark, that is, <span class="parmname" id="mrs_01_24170__pdff01c0645764d5c99d86eaf11af1c00"><b>spark.eventLog.enabled</b></span> is set to <span class="parmvalue" id="mrs_01_24170__p29033e87cfc2400d841c2a5136c938a1"><b>true</b></span>, events are written to a configured log file to record the program running process. If a program, for example JDBCServer or Spark Streaming, runs for a long period of time and has run many jobs and tasks during this period, many events are recorded in the log file, significantly increasing the file size.</p>
+<p id="mrs_01_24170__a2ae6e6f2ce7c48939d2b0a75f803ff68">When log rollover is enabled, metadata events are written into the log file and job events are written into a new log file (whether a job event is written to the new log file depends on the file size). Metadata events include EnviromentUpdate, BlockManagerAdded, BlockManagerRemoved, UnpersistRDD, ExecutorAdded, ExecutorRemoved, MetricsUpdate, ApplicationStart, ApplicationEnd, and LogStart. Job events include StageSubmitted, StageCompleted, TaskResubmit, TaskStart, TaskEnd, TaskGettingResult, JobStart, and JobEnd. For Spark SQL applications, job events also include ExecutionStart and ExecutionEnd.</p>
+<p id="mrs_01_24170__a20a1bd03686c4ac09beb36f131e2a48f">The UI for the HistoryServer service of Spark is obtained by reading and parsing these log files. The memory size is preset before the HistoryServer process starts. Therefore, when the size of log files is large, loading and parsing these files may cause problems such as insufficient memory and driver GC.</p>
+<p id="mrs_01_24170__ab71e1971e75a42f5828492668f7f59a0">To load large log files in small memory mode, you need to enable log rollover for large applications. Generally, it is recommended that this function be enabled for long-running applications.</p>
+</div>
+<div class="section" id="mrs_01_24170__section149351351145714"><h4 class="sectiontitle">Parameters</h4><p id="mrs_01_24170__p18420142117236">Log in to FusionInsight Manager, choose <span id="mrs_01_24170__text1476246141114215"><strong id="mrs_01_24170__b1633203011114215">Cluster</strong> &gt; </span><strong id="mrs_01_24170__b511376378114215">Services</strong> &gt; <strong id="mrs_01_24170__b1122669756114215">Spark2x</strong> &gt; <strong id="mrs_01_24170__b2029973710114215">Configurations</strong>, click <strong id="mrs_01_24170__b1545111097114215">All Configurations</strong>, and search for the following parameters.</p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24170__t18af5fbd3aeb4bda8d13de81ed31f812" frame="border" border="1" rules="all"><thead align="left"><tr id="mrs_01_24170__r74395b638f4442e3aab246ff89b4f414"><th align="left" class="cellrowborder" valign="top" width="32.129999999999995%" id="mcps1.3.2.3.1.4.1.1"><p id="mrs_01_24170__a1f516e63d9e642069c06eb1b4f809563"><strong id="mrs_01_24170__a744ab93a07754850a5f6c727a33e62e1">Parameter</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="49.5%" id="mcps1.3.2.3.1.4.1.2"><p id="mrs_01_24170__af9566f38e89e419f83b61605b532f7ad"><strong id="mrs_01_24170__a6645dddca1604ff3a7c65c302142e2da">Description</strong></p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="18.37%" id="mcps1.3.2.3.1.4.1.3"><p id="mrs_01_24170__ac817ca09e627493cb99f5b57d2943bd6"><strong id="mrs_01_24170__adff60dc7bdc24a8aaa6c1b5c6630331e">Default Value</strong></p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24170__rd52556c4569841b3a5e5a2ebdfcb3b56"><td class="cellrowborder" valign="top" width="32.129999999999995%" headers="mcps1.3.2.3.1.4.1.1 "><p id="mrs_01_24170__p44616111023">spark.eventLog.rolling.enabled</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.5%" headers="mcps1.3.2.3.1.4.1.2 "><p id="mrs_01_24170__p1148143481514">Whether to enable rollover for event log files. If this parameter is set to <strong id="mrs_01_24170__b168154684514">true</strong>, the size of each event log file is reduced to the configured size.</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.37%" headers="mcps1.3.2.3.1.4.1.3 "><p id="mrs_01_24170__p10461011426">true</p>
+</td>
+</tr>
+<tr id="mrs_01_24170__row782249193512"><td class="cellrowborder" valign="top" width="32.129999999999995%" headers="mcps1.3.2.3.1.4.1.1 "><p id="mrs_01_24170__p52001311164">spark.eventLog.rolling.maxFileSize</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.5%" headers="mcps1.3.2.3.1.4.1.2 "><p id="mrs_01_24170__p6831249103510">Maximum size of the event log file to be rolled over when <strong id="mrs_01_24170__b75726519467">spark.eventlog.rolling.enabled</strong> is set to <strong id="mrs_01_24170__b1864725916460">true</strong>.</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.37%" headers="mcps1.3.2.3.1.4.1.3 "><p id="mrs_01_24170__p15832497350">128M</p>
+</td>
+</tr>
+<tr id="mrs_01_24170__rf534b3c540af486495ea96f84d00a611"><td class="cellrowborder" valign="top" width="32.129999999999995%" headers="mcps1.3.2.3.1.4.1.1 "><p id="mrs_01_24170__p12461611923">spark.eventLog.compression.codec</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.5%" headers="mcps1.3.2.3.1.4.1.2 "><p id="mrs_01_24170__p2302328214">Codec used to compress event logs. By default, Spark provides four types of codecs: LZ4, LZF, Snappy, and ZSTD. If this parameter is not specified, <strong id="mrs_01_24170__b17465019516">spark.io.compression.codec</strong> is used.</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.37%" headers="mcps1.3.2.3.1.4.1.3 "><p id="mrs_01_24170__p4467111127">None</p>
+</td>
+</tr>
+<tr id="mrs_01_24170__row41031841117"><td class="cellrowborder" valign="top" width="32.129999999999995%" headers="mcps1.3.2.3.1.4.1.1 "><p id="mrs_01_24170__p8522173220184">spark.eventLog.logStageExecutorMetrics</p>
+</td>
+<td class="cellrowborder" valign="top" width="49.5%" headers="mcps1.3.2.3.1.4.1.2 "><p id="mrs_01_24170__p1946151113217">Whether to write each stage peak value (for each executor) of executor metrics to the event log.</p>
+</td>
+<td class="cellrowborder" valign="top" width="18.37%" headers="mcps1.3.2.3.1.4.1.3 "><p id="mrs_01_24170__p1685717911125">false</p>
+<p id="mrs_01_24170__p84341337257"></p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<p id="mrs_01_24170__p8060118"></p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1941.html">Scenario-Specific Configuration</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24176.html b/docs/mrs/component-operation-guide/mrs_01_24176.html
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@@ -0,0 +1,18 @@
+<a name="mrs_01_24176"></a><a name="mrs_01_24176"></a>
+
+<h1 class="topictitle1">Spark Shuffle Exception Handling</h1>
+<div id="body0000001169611751"><div class="section" id="mrs_01_24176__section19111959091"><h4 class="sectiontitle">Question</h4><p id="mrs_01_24176__p1580513101273">In some scenarios, the following exception occurs in the Spark shuffle phase:</p>
+<p id="mrs_01_24176__p7656143610716"><span><img id="mrs_01_24176__image1734612262912" src="en-us_image_0000001349090061.png"></span></p>
+</div>
+<div class="section" id="mrs_01_24176__section1333439391"><h4 class="sectiontitle">Solution</h4><p id="mrs_01_24176__p2594125082417">For JDBC:</p>
+<p id="mrs_01_24176__a7d7e82de84674777a59b76c72c046e99">Log in to FusionInsight Manager, change the value of the JDBCServer parameter <strong id="mrs_01_24176__b20714143911344">spark.authenticate.enableSaslEncryption</strong> to <strong id="mrs_01_24176__b6902174114341">false</strong>, and restart the corresponding instance.</p>
+<p id="mrs_01_24176__p17430175522419">For client jobs:</p>
+<p id="mrs_01_24176__p95702059142410">When the client submits the application, change the value of <strong id="mrs_01_24176__b15998456357">spark.authenticate.enableSaslEncryption</strong> in the <strong id="mrs_01_24176__b156235293519">spark-defaults.conf</strong> file to <strong id="mrs_01_24176__b11921456123514">false</strong>.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2002.html">Common Issues About Spark2x</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24198.html b/docs/mrs/component-operation-guide/mrs_01_24198.html
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@@ -0,0 +1,52 @@
+<a name="mrs_01_24198"></a><a name="mrs_01_24198"></a>
+
+<h1 class="topictitle1">Using the ClickHouse Data Migration Tool</h1>
+<div id="body0000001136546900"><p id="mrs_01_24198__p176811527111117">The ClickHouse data migration tool can migrate some partitions of one or more partitioned MergeTree tables on several ClickHouseServer nodes to the same tables on other ClickHouseServer nodes. In the capacity expansion scenario, you can use this tool to migrate data from an original node to a new node to balance data after capacity expansion.</p>
+<div class="section" id="mrs_01_24198__section135233106402"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_24198__ul1366411569378"><li id="mrs_01_24198__li16664115614371">The ClickHouse and Zookeeper services are running properly. The ClickHouseServer instances on the source and destination nodes are normal.</li><li id="mrs_01_24198__li13180716392">The destination node has the data table to be migrated and the table is a partitioned MergeTree table.</li><li id="mrs_01_24198__li68491131104015">Before creating a migration task, ensure that all tasks for writing data to a table to be migrated have been stopped. After the task is started, you can only query the table to be migrated and cannot write data to or delete data from the table. Otherwise, data may be inconsistent before and after the migration.</li><li id="mrs_01_24198__li1631232264013">The ClickHouse data directory on the destination node has sufficient space.</li></ul>
+</div>
+<div class="section" id="mrs_01_24198__section1041216526381"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_24198__ol466517515449"><li id="mrs_01_24198__li17664185174415"><span>Log in to Manager and choose <strong id="mrs_01_24198__b36417385543741">Cluster</strong> &gt; <strong id="mrs_01_24198__b16015138843741">Services</strong> &gt; <strong id="mrs_01_24198__b25756644243741">ClickHouse</strong>. On the ClickHouse service page, click the <strong id="mrs_01_24198__b954828643741">Data Migration</strong> tab.</span><p><p id="mrs_01_24198__p2664135164419"></p>
+</p></li><li id="mrs_01_24198__li106653518442"><span>Click <strong id="mrs_01_24198__b185335751243741">Add Task</strong>.</span><p><p id="mrs_01_24198__p4665251184418"></p>
+</p></li></ol><ol start="3" id="mrs_01_24198__ol266495154417"><li id="mrs_01_24198__li18211183015203"><span>On the page for creating a migration task, set the migration task parameters. For details, see <a href="#mrs_01_24198__table1724256152117">Table 1</a>.</span><p><p id="mrs_01_24198__p131077571306"></p>
+
+<div class="tablenoborder"><a name="mrs_01_24198__table1724256152117"></a><a name="table1724256152117"></a><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24198__table1724256152117" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Migration task parameters</caption><thead align="left"><tr id="mrs_01_24198__row137242561217"><th align="left" class="cellrowborder" valign="top" width="16.08%" id="mcps1.3.3.3.1.2.2.2.3.1.1"><p id="mrs_01_24198__p9724956122115">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="83.91999999999999%" id="mcps1.3.3.3.1.2.2.2.3.1.2"><p id="mrs_01_24198__p472413569211">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24198__row1272412569214"><td class="cellrowborder" valign="top" width="16.08%" headers="mcps1.3.3.3.1.2.2.2.3.1.1 "><p id="mrs_01_24198__p127241256132114">Task Name</p>
+</td>
+<td class="cellrowborder" valign="top" width="83.91999999999999%" headers="mcps1.3.3.3.1.2.2.2.3.1.2 "><p id="mrs_01_24198__p16903162412233">Enter a specific task name. The value can contain 1 to 50 characters, including letters, arrays, and underscores (_), and cannot be the same as that of an existing migration task.</p>
+</td>
+</tr>
+<tr id="mrs_01_24198__row201022590231"><td class="cellrowborder" valign="top" width="16.08%" headers="mcps1.3.3.3.1.2.2.2.3.1.1 "><p id="mrs_01_24198__p9103159122314">Task Type</p>
+</td>
+<td class="cellrowborder" valign="top" width="83.91999999999999%" headers="mcps1.3.3.3.1.2.2.2.3.1.2 "><ul id="mrs_01_24198__ul197102410243"><li id="mrs_01_24198__li3719245244"><strong id="mrs_01_24198__b14541296243741">Scheduled Task</strong>: When the scheduled task is selected, you can set <strong id="mrs_01_24198__b120791045143741">Started</strong> to specify a time point later than the current time to execute the task.</li><li id="mrs_01_24198__li1540830182410"><strong id="mrs_01_24198__b190696367643741">Immediate task</strong>: The task is executed immediately after it is started.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_24198__row139217266276"><td class="cellrowborder" valign="top" width="16.08%" headers="mcps1.3.3.3.1.2.2.2.3.1.1 "><p id="mrs_01_24198__p129352622714">Started</p>
+</td>
+<td class="cellrowborder" valign="top" width="83.91999999999999%" headers="mcps1.3.3.3.1.2.2.2.3.1.2 "><p id="mrs_01_24198__p89521736192719">Set this parameter when <strong id="mrs_01_24198__b100129550643741">Task Type</strong> is set to <strong id="mrs_01_24198__b39770578943741">Scheduled Task</strong>. The valid value is a time point within 90 days from now.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_24198__li962162204719"><span>On the <strong id="mrs_01_24198__b106879775743741">Select Node</strong> page, specify <strong id="mrs_01_24198__b113538508743741">Source Node Host Name</strong> and <strong id="mrs_01_24198__b91523162143741">Destination Node Host Name</strong>, and click <strong id="mrs_01_24198__b30322705943741">Next</strong>.</span><p><div class="p" id="mrs_01_24198__p18752794472"><div class="note" id="mrs_01_24198__note131789372488"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_24198__ul2427203173712"><li id="mrs_01_24198__li1795297164114">Only one host name can be entered in <strong id="mrs_01_24198__b159031699043741">Source Node Host Name</strong> and <strong id="mrs_01_24198__b79033275243741">Destination Node Host Name</strong>, respectively. Multi-node migration is not supported.<p id="mrs_01_24198__p75131118418">To obtain the parameter values, click the <strong id="mrs_01_24198__b192966930043741">Instance</strong> tab on the ClickHouse service page and view the <strong id="mrs_01_24198__b24953829443741">Host Name</strong> column of the current ClickHouseServer instance.</p>
+</li><li id="mrs_01_24198__li339953343711"><strong id="mrs_01_24198__b120408332243741">Maximum Bandwidth</strong> is optional. If it is not specified, there is no upper limit. The maximum bandwidth can be set to <strong id="mrs_01_24198__b88217714843741">10000</strong> MB/s.</li></ul>
+</div></div>
+</div>
+</p></li><li id="mrs_01_24198__li14328732105418"><span>On the <strong id="mrs_01_24198__b146696648743741">Select Data Table</strong> page, click <span><img id="mrs_01_24198__image17328113212549" src="en-us_image_0000001349170269.png"></span> next to <strong id="mrs_01_24198__b214356550443741">Database</strong>, select the database to be migrated on the source node, and select the data table to be migrated for <strong id="mrs_01_24198__b7708180143741">Data Table</strong>. The data table drop-down list displays the partitioned MergeTree tables in the selected database. In the <strong id="mrs_01_24198__b98833755943741">Node Information</strong> area, the space usage of the ClickHouse service data directory on the current source and destination nodes is displayed. Click <strong id="mrs_01_24198__b205875581643741">Next</strong>.</span><p><p id="mrs_01_24198__p685212359549"></p>
+</p></li><li id="mrs_01_24198__li16513141410554"><span>Confirm the task information and click <strong id="mrs_01_24198__b24258809143741">Submit</strong>.</span><p><p id="mrs_01_24198__p41571131164719">The data migration tool automatically calculates the partitions to be migrated based on the size of the data table. The amount of data to be migrated is the total size of the partitions to be migrated.</p>
+<p id="mrs_01_24198__p2011461625510"></p>
+</p></li><li id="mrs_01_24198__li13031048164711"><span>After the migration task is submitted, click <strong id="mrs_01_24198__b141637131043741">Start</strong> in the <strong id="mrs_01_24198__b115324939843741">Operation </strong>column. If the task is an immediate task, the task starts to be executed. If the task is a scheduled task, the countdown starts.</span><p><p id="mrs_01_24198__p99041851164710"></p>
+</p></li><li id="mrs_01_24198__li8264388117"><span>During the migration task execution, you can click <strong id="mrs_01_24198__b17204283943741">Cancel</strong> to cancel the migration task that is being executed. If you cancel the task, the migrated data on the destination node will be rolled back.</span><p><p id="mrs_01_24198__p102551999111">You can choose <strong id="mrs_01_24198__b115661169043741">More </strong>&gt; <strong id="mrs_01_24198__b53684025843741">Details</strong> to view the log information during the migration.</p>
+</p></li><li id="mrs_01_24198__li25232034442"><span>After the migration is complete, choose <strong id="mrs_01_24198__b19375385743741">More</strong> &gt; <strong id="mrs_01_24198__b89893508643741">Results</strong> to view the migration result and choose <strong id="mrs_01_24198__b95997519543741">More</strong> &gt; <strong id="mrs_01_24198__b26216866643741">Delete</strong> to delete the directories related to the migration task on ZooKeeper and the source node.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24250.html">Migrating ClickHouse Data</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24199.html b/docs/mrs/component-operation-guide/mrs_01_24199.html
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@@ -0,0 +1,29 @@
+<a name="mrs_01_24199"></a><a name="mrs_01_24199"></a>
+
+<h1 class="topictitle1">Common ClickHouse SQL Syntax</h1>
+<div id="body0000001184526339"></div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_24200.html">CREATE DATABASE: Creating a Database</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24201.html">CREATE TABLE: Creating a Table</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24202.html">INSERT INTO: Inserting Data into a Table</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24203.html">SELECT: Querying Table Data</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24204.html">ALTER TABLE: Modifying a Table Structure</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24205.html">DESC: Querying a Table Structure</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24208.html">DROP: Deleting a Table</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24207.html">SHOW: Displaying Information About Databases and Tables</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2344.html">Using ClickHouse</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24200.html b/docs/mrs/component-operation-guide/mrs_01_24200.html
new file mode 100644
index 000000000..52a8c544c
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24200.html
@@ -0,0 +1,27 @@
+<a name="mrs_01_24200"></a><a name="mrs_01_24200"></a>
+
+<h1 class="topictitle1">CREATE DATABASE: Creating a Database</h1>
+<div id="body0000001138846338"><p id="mrs_01_24200__p1919324122119">This section describes the basic syntax and usage of the SQL statement for creating a ClickHouse database.</p>
+<div class="section" id="mrs_01_24200__section19309143941918"><h4 class="sectiontitle">Basic Syntax</h4><p id="mrs_01_24200__p2961134612212"><strong id="mrs_01_24200__b1346777388105842">CREATE DATABASE [IF NOT EXISTS] </strong> <em id="mrs_01_24200__i1649389035105842">Database_name</em> <strong id="mrs_01_24200__b1094990268105842">[ON CLUSTER </strong><em id="mrs_01_24200__i987015198105842">ClickHouse cluster name</em><strong id="mrs_01_24200__b1534734649105842">]</strong></p>
+<p id="mrs_01_24200__p7693516201517"></p>
+<div class="note" id="mrs_01_24200__note777793976"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_24200__p19741613771">The syntax <strong id="mrs_01_24200__b1286049629105842">ON CLUSTER</strong> <em id="mrs_01_24200__i1585824901105842">ClickHouse cluster name</em> enables the Data Definition Language (DDL) statement to be executed on all instances in the cluster at a time. You can run the following statement to obtain the cluster name from the <strong id="mrs_01_24200__b19361101012716">cluster</strong> field:</p>
+<p id="mrs_01_24200__p123618101175"><strong id="mrs_01_24200__b143612102713">select cluster,shard_num,replica_num,host_name from system.clusters;</strong></p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_24200__section182821849171918"><h4 class="sectiontitle">Example</h4><pre class="screen" id="mrs_01_24200__screen099037123115">-- Create a database named <strong id="mrs_01_24200__b104987233105842">test</strong>.
+CREATE DATABASE test ON CLUSTER default_cluster;
+-- After the creation is successful, run the query command for verification.
+show databases;
+┌─name───┐
+│ default    │
+│ system     │
+│ test       │
+└──────┘</pre>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24199.html">Common ClickHouse SQL Syntax</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24201.html b/docs/mrs/component-operation-guide/mrs_01_24201.html
new file mode 100644
index 000000000..e5b3cc7b3
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24201.html
@@ -0,0 +1,37 @@
+<a name="mrs_01_24201"></a><a name="mrs_01_24201"></a>
+
+<h1 class="topictitle1">CREATE TABLE: Creating a Table</h1>
+<div id="body0000001183607139"><p id="mrs_01_24201__p1919324122119">This section describes the basic syntax and usage of the SQL statement for creating a ClickHouse table.</p>
+<div class="section" id="mrs_01_24201__section3168913182114"><h4 class="sectiontitle">Basic Syntax</h4><ul id="mrs_01_24201__ul67474276217"><li id="mrs_01_24201__li17747132716210">Method 1: Creating a table named <strong id="mrs_01_24201__b1705700123111318">table_name</strong> in the specified <strong id="mrs_01_24201__b1429674490111318">database_name</strong> database.<p id="mrs_01_24201__p7747927132116">If the table creation statement does not contain <strong id="mrs_01_24201__b1331239488111318">database_name</strong>, the name of the database selected during client login is used by default.</p>
+<p id="mrs_01_24201__p1874792711218"><strong id="mrs_01_24201__b1734558719111318">CREATE TABLE [IF NOT EXISTS] </strong><em id="mrs_01_24201__i285211467111318">[database_name.]table_name</em><strong id="mrs_01_24201__b378034047111318"> [ON CLUSTER </strong><em id="mrs_01_24201__i965283096111318">ClickHouse cluster name</em><strong id="mrs_01_24201__b1149816173111318">]</strong></p>
+<p id="mrs_01_24201__p174711273217"><strong id="mrs_01_24201__b19747172720215">(</strong></p>
+<p id="mrs_01_24201__p67477273211"><strong id="mrs_01_24201__b474715272218"></strong><em id="mrs_01_24201__i574722717219">name1</em><strong id="mrs_01_24201__b107479271217"> [</strong><em id="mrs_01_24201__i1074722719219">type1</em><strong id="mrs_01_24201__b474772732110">] [DEFAULT|</strong><strong id="mrs_01_24201__b1274722715211">MATERIALIZED</strong><strong id="mrs_01_24201__b207472277217">|ALIAS </strong><em id="mrs_01_24201__i117471127102113">expr1</em><strong id="mrs_01_24201__b474717277219">],</strong></p>
+<p id="mrs_01_24201__p07476278214"><strong id="mrs_01_24201__b17471327132119"></strong><em id="mrs_01_24201__i1274772715211">name2</em><strong id="mrs_01_24201__b147471279213"><em id="mrs_01_24201__i127471927112118"> </em>[</strong><em id="mrs_01_24201__i1574782742110">type2</em><strong id="mrs_01_24201__b11747527172118">] [DEFAULT|</strong><strong id="mrs_01_24201__b11747227122112">MATERIALIZED</strong><strong id="mrs_01_24201__b1747527112117">|ALIAS </strong><em id="mrs_01_24201__i4747027142110">expr2</em><strong id="mrs_01_24201__b12747427152111">],</strong></p>
+<p id="mrs_01_24201__p11747227152119"><strong id="mrs_01_24201__b674712792111">...</strong></p>
+<p id="mrs_01_24201__p874782715210"><strong id="mrs_01_24201__b6747102772114">) </strong><em id="mrs_01_24201__i18747202711211">ENGINE</em> = <em id="mrs_01_24201__i3747122722118">engine</em><em id="mrs_01_24201__i17747142712113">_name()</em></p>
+<p id="mrs_01_24201__p147471127162119">[<strong id="mrs_01_24201__b167471827172117">PARTITION BY</strong> <em id="mrs_01_24201__i1747827142116">expr_list</em>]</p>
+<p id="mrs_01_24201__p3747927122114">[<strong id="mrs_01_24201__b9747112716215">ORDER BY</strong> <em id="mrs_01_24201__i9747227132111">expr_list</em>]</p>
+<div class="caution" id="mrs_01_24201__note1747127122118"><span class="cautiontitle"><img src="public_sys-resources/caution_3.0-en-us.png"> </span><div class="cautionbody"><p id="mrs_01_24201__p20747112722115">You are advised to use <strong id="mrs_01_24201__b11747427132110">PARTITION BY</strong> to create table partitions when creating a ClickHouse table. The ClickHouse data migration tool migrates data based on table partitions. If you do not use <strong id="mrs_01_24201__b933044056111318">PARTITION BY</strong> to create table partitions during table creation, the table data cannot be migrated on the GUI in <a href="mrs_01_24198.html">Using the ClickHouse Data Migration Tool</a>.</p>
+</div></div>
+</li><li id="mrs_01_24201__li37478278215">Method 2: Creating a table with the same structure as <strong id="mrs_01_24201__b817123745111318">database_name2.table_name2</strong> and specifying a different table engine for the table<p id="mrs_01_24201__p13747122762117">If no table engine is specified, the created table uses the same table engine as <strong id="mrs_01_24201__b1036275726111318">database_name2.table_name2</strong>.</p>
+<p id="mrs_01_24201__p17747327152116"><strong id="mrs_01_24201__b5747152714213">CREATE TABLE [IF NOT EXISTS] </strong><em id="mrs_01_24201__i574762722110">[database_name.]table_name</em><strong id="mrs_01_24201__b147471727162119"> AS </strong>[<em id="mrs_01_24201__i12747727132115">database_name2</em>.]<em id="mrs_01_24201__i1274792712111">table_name</em>2<strong id="mrs_01_24201__b9747202710216">  </strong>[ENGINE = <em id="mrs_01_24201__i2747102722116">engine</em><em id="mrs_01_24201__i157479272216">_name</em>]</p>
+</li><li id="mrs_01_24201__li147471627202117">Method 3: Using the specified engine to create a table with the same structure as the result of the <strong id="mrs_01_24201__b819822053312">SELECT</strong> clause and filling it with the result of the <strong id="mrs_01_24201__b514382223312">SELECT</strong> clause<p id="mrs_01_24201__p9747192711215"><strong id="mrs_01_24201__b37472027122118">CREATE TABLE [IF NOT EXISTS] </strong><em id="mrs_01_24201__i1674716275212">[</em><em id="mrs_01_24201__i3747102772115">database_name</em><em id="mrs_01_24201__i474742752117">.]table_name</em><strong id="mrs_01_24201__b4747327102117"> </strong><em id="mrs_01_24201__i1574732716218">ENGINE</em> = <em id="mrs_01_24201__i13747192722116">engine</em><em id="mrs_01_24201__i117479277214">_name</em><strong id="mrs_01_24201__b19747162719212"> AS SELECT </strong>...</p>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_24201__section1817894102220"><h4 class="sectiontitle">Example</h4><pre class="screen" id="mrs_01_24201__screen149191111455">-- Create a table named <strong id="mrs_01_24201__b347107002111318">test</strong> in the <strong id="mrs_01_24201__b1122365085111318">default</strong> database and <strong id="mrs_01_24201__b888158834111318">default_cluster</strong> cluster.
+CREATE TABLE default.test ON CLUSTER default_cluster
+(
+    `EventDate` DateTime, 
+    `id` UInt64
+)
+ENGINE = ReplicatedMergeTree('/clickhouse/tables/{shard}/default/test', '{replica}')
+PARTITION BY toYYYYMM(EventDate)
+ORDER BY id</pre>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24199.html">Common ClickHouse SQL Syntax</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24202.html b/docs/mrs/component-operation-guide/mrs_01_24202.html
new file mode 100644
index 000000000..e722ea2f4
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24202.html
@@ -0,0 +1,24 @@
+<a name="mrs_01_24202"></a><a name="mrs_01_24202"></a>
+
+<h1 class="topictitle1">INSERT INTO: Inserting Data into a Table</h1>
+<div id="body0000001137327116"><p id="mrs_01_24202__p17563153819224">This section describes the basic syntax and usage of the SQL statement for inserting data to a table in ClickHouse.</p>
+<div class="section" id="mrs_01_24202__section5637181315238"><h4 class="sectiontitle">Basic Syntax</h4><ul id="mrs_01_24202__ul20836555115818"><li id="mrs_01_24202__li8851329587">Method 1: Inserting data in standard format<p id="mrs_01_24202__p5851432125815"><a name="mrs_01_24202__li8851329587"></a><a name="li8851329587"></a><strong id="mrs_01_24202__b13854329589">INSERT INTO</strong> <em id="mrs_01_24202__i17856328583">[database_name.]table</em> [(<em id="mrs_01_24202__i085232145819">c1, c2, c3</em>)] <strong id="mrs_01_24202__b11851632165818">VALUES </strong>(<em id="mrs_01_24202__i5851322587">v11, v12, v13</em>), (<em id="mrs_01_24202__i1885163255818">v21, v22, v23</em>), ...</p>
+</li><li id="mrs_01_24202__li1485193285812">Method 2: Using the <strong id="mrs_01_24202__b10271393394">SELECT</strong> result to insert data<p id="mrs_01_24202__p108583275813"><strong id="mrs_01_24202__b18855326580">INSERT INTO</strong> <em id="mrs_01_24202__i138513219586">[</em><em id="mrs_01_24202__i6853324584">database_name</em><em id="mrs_01_24202__i18858322586">.]table</em> [(c1, c2, c3)] <strong id="mrs_01_24202__b48510325588">SELECT</strong> ...</p>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_24202__section1270423214237"><h4 class="sectiontitle">Example</h4><pre class="screen" id="mrs_01_24202__screen1721693412599">-- Insert data into the <strong id="mrs_01_24202__b5242073511394">test2</strong> table.
+insert into test2 (id, name) values (1, 'abc'), (2, 'bbbb');
+-- Query data in the <strong id="mrs_01_24202__b29668733611394">test2</strong> table.
+select * from test2;
+┌─id─┬─name─┐
+│  1   │ abc    │
+│  2   │ bbbb   │
+└───┴────┘</pre>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24199.html">Common ClickHouse SQL Syntax</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24203.html b/docs/mrs/component-operation-guide/mrs_01_24203.html
new file mode 100644
index 000000000..51142eb69
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24203.html
@@ -0,0 +1,51 @@
+<a name="mrs_01_24203"></a><a name="mrs_01_24203"></a>
+
+<h1 class="topictitle1">SELECT: Querying Table Data</h1>
+<div id="body0000001184526341"><p id="mrs_01_24203__p17563153819224">This section describes the basic syntax and usage of the SQL statement for querying table data in ClickHouse.</p>
+<div class="section" id="mrs_01_24203__section20934174015249"><h4 class="sectiontitle">Basic Syntax</h4><p id="mrs_01_24203__p25912163516"><strong id="mrs_01_24203__b811313582518">SELECT</strong> [<strong id="mrs_01_24203__b122334015614">DISTINCT</strong>] expr_list</p>
+<p id="mrs_01_24203__p18590161453">[<strong id="mrs_01_24203__b624952566">FROM </strong>[<em id="mrs_01_24203__i2572141991319">database_name</em>.]<em id="mrs_01_24203__i11779153010139">table </em>| (subquery) | table_function] [<strong id="mrs_01_24203__b1330110124614">FINAL</strong>]</p>
+<p id="mrs_01_24203__p759181610512">[SAMPLE sample_coeff]</p>
+<p id="mrs_01_24203__p1959101610511">[ARRAY <strong id="mrs_01_24203__b761719181866">JOIN </strong>...]</p>
+<p id="mrs_01_24203__p35918165510">[<strong id="mrs_01_24203__b535618311861">GLOBAL</strong>] [<strong id="mrs_01_24203__b1230114333612">ANY</strong>|<strong id="mrs_01_24203__b112958351062">ALL</strong>|<strong id="mrs_01_24203__b1698343617614">ASOF</strong>] [<strong id="mrs_01_24203__b106811541964">INNER</strong>|<strong id="mrs_01_24203__b157261561868">LEFT</strong>|<strong id="mrs_01_24203__b115445581464">RIGHT</strong>|<strong id="mrs_01_24203__b7619204712">FULL</strong>|<strong id="mrs_01_24203__b1974533771">CROSS</strong>] [<strong id="mrs_01_24203__b162761102711">OUTER</strong>|SEMI|ANTI] <strong id="mrs_01_24203__b264613181675">JOIN </strong>(subquery)|<strong id="mrs_01_24203__b323532518718">table </strong>(<strong id="mrs_01_24203__b19124531678">ON </strong>&lt;expr_list&gt;)|(<strong id="mrs_01_24203__b9773153618717">USING </strong>&lt;column_list&gt;)</p>
+<p id="mrs_01_24203__p1592162055">[PREWHERE expr]</p>
+<p id="mrs_01_24203__p13598161452">[<strong id="mrs_01_24203__b9151164414714">WHERE </strong>expr]</p>
+<p id="mrs_01_24203__p55917161356">[<strong id="mrs_01_24203__b82979521475">GROUP BY</strong> expr_list] [<strong id="mrs_01_24203__b1214511595713">WITH </strong>TOTALS]</p>
+<p id="mrs_01_24203__p3595163519">[<strong id="mrs_01_24203__b3117574810">HAVING </strong>expr]</p>
+<p id="mrs_01_24203__p1159116458">[<strong id="mrs_01_24203__b7551716284">ORDER BY</strong> expr_list] [<strong id="mrs_01_24203__b123191509818">WITH </strong>FILL] [<strong id="mrs_01_24203__b1969118521383">FROM </strong>expr] [<strong id="mrs_01_24203__b126897540817">TO </strong>expr] [STEP expr]</p>
+<p id="mrs_01_24203__p146051616519">[<strong id="mrs_01_24203__b459795993">LIMIT </strong>[offset_value, ]n <strong id="mrs_01_24203__b7199161113918">BY </strong>columns]</p>
+<p id="mrs_01_24203__p146031614512">[<strong id="mrs_01_24203__b7372023092">LIMIT </strong>[n, ]m] [<strong id="mrs_01_24203__b78884251599">WITH </strong>TIES]</p>
+<p id="mrs_01_24203__p7601816251">[<strong id="mrs_01_24203__b32317841011">UNION ALL</strong> ...]</p>
+<p id="mrs_01_24203__p3601416957">[<strong id="mrs_01_24203__b629790171112">INTO </strong>OUTFILE filename]</p>
+<p id="mrs_01_24203__p14601516552">[FORMAT format]</p>
+</div>
+<div class="section" id="mrs_01_24203__section1981215572420"><h4 class="sectiontitle">Example</h4><pre class="screen" id="mrs_01_24203__screen0660153511374"><strong id="mrs_01_24203__b10796104219375">-- View ClickHouse cluster information.</strong>
+select * from system.clusters;
+<strong id="mrs_01_24203__b10995726362">-- View the macros set for the current node.</strong>
+select * from system.macros;
+<strong id="mrs_01_24203__b13415114543715">-- Check the database capacity.</strong>
+select
+sum(rows) as "Total number of rows",
+formatReadableSize(sum(data_uncompressed_bytes)) as "Original size",
+formatReadableSize(sum(data_compressed_bytes)) as "Compression size",
+round(sum(data_compressed_bytes) / sum(data_uncompressed_bytes) * 100,
+0) "Compression rate"
+from system.parts;
+<strong id="mrs_01_24203__b209671849153711">-- Query the capacity of the test table. Add or modify the where clause based on the site requirements.</strong>
+select
+sum(rows) as "Total number of rows",
+formatReadableSize(sum(data_uncompressed_bytes)) as "Original size",
+formatReadableSize(sum(data_compressed_bytes)) as "Compression size",
+round(sum(data_compressed_bytes) / sum(data_uncompressed_bytes) * 100,
+0) "Compression rate"
+from system.parts
+where table in ('test')
+and partition like '2020-11-%'
+group by table;</pre>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24199.html">Common ClickHouse SQL Syntax</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24204.html b/docs/mrs/component-operation-guide/mrs_01_24204.html
new file mode 100644
index 000000000..1fb65fdb7
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24204.html
@@ -0,0 +1,45 @@
+<a name="mrs_01_24204"></a><a name="mrs_01_24204"></a>
+
+<h1 class="topictitle1">ALTER TABLE: Modifying a Table Structure</h1>
+<div id="body0000001138846340"><p id="mrs_01_24204__p795718189259">This section describes the basic syntax and usage of the SQL statement for modifying a table structure in ClickHouse.</p>
+<div class="section" id="mrs_01_24204__section486795662513"><h4 class="sectiontitle">Basic Syntax</h4><p id="mrs_01_24204__p26368513267"><strong id="mrs_01_24204__b196360514267">ALTER TABLE</strong> [<em id="mrs_01_24204__i116367562615">database_name</em>].<em id="mrs_01_24204__i563645142613">name </em>[<strong id="mrs_01_24204__b18636957266">ON CLUSTER</strong> <em id="mrs_01_24204__i1563612542617">cluster</em>] <strong id="mrs_01_24204__b363616510268">ADD</strong>|<strong id="mrs_01_24204__b063611572613">DROP</strong>|<strong id="mrs_01_24204__b1663617522610">CLEAR</strong>|<strong id="mrs_01_24204__b86364542616">COMMENT</strong>|<strong id="mrs_01_24204__b1636205112616">MODIFY </strong><strong id="mrs_01_24204__b17636455267">COLUMN </strong>...</p>
+<div class="note" id="mrs_01_24204__note26361251268"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_24204__p36361156264"><strong id="mrs_01_24204__b1236987919114355">ALTER</strong> supports only <em id="mrs_01_24204__i1922405981114355">*</em>MergeTree, Merge, and Distributed engine tables.</p>
+</div></div>
+</div>
+<div class="section" id="mrs_01_24204__section1149622642610"><h4 class="sectiontitle">Example</h4><pre class="screen" id="mrs_01_24204__screen97331558114718">-- Add the <strong id="mrs_01_24204__b1200365585114355">test01</strong> column to the <strong id="mrs_01_24204__b407777739114355">t1</strong> table.
+ALTER TABLE t1 ADD COLUMN test01 String DEFAULT 'defaultvalue';
+-- Query the modified table <strong id="mrs_01_24204__b173875763114355">t1</strong>.
+desc t1
+┌─name────┬─type─┬─default_type─┬─default_expression ┬─comment─┬─codec_expression─┬─ttl_expression─┐
+│  id          │ UInt8  │                │                     │           │                    │                  │  
+│  name        │ String │                │                     │           │                    │                  │ 
+│  address     │ String │                │                     │           │                    │                  │
+│  test01      │ String │  DEFAULT       │  'defaultvalue'     │           │                    │                  │
+└───────┴────┴────────┴────────── ┴───── ┴──────────┴─────────┘
+-- Change the type of the <strong id="mrs_01_24204__b2128272342114355">name</strong> column in the <strong id="mrs_01_24204__b1933727057114355">t1</strong> table to UInt8.
+ALTER TABLE t1 MODIFY COLUMN name UInt8;
+-- Query the modified table <strong id="mrs_01_24204__b1065578535114355">t1</strong>.
+desc t1
+┌─name────┬─type─┬─default_type─┬─default_expression ┬─comment─┬─codec_expression─┬─ttl_expression─┐
+│  id          │ UInt8  │                │                     │           │                    │                  │  
+│  name        │ UInt8  │                │                     │           │                    │                  │ 
+│  address     │ String │                │                     │           │                    │                  │
+│  test01      │ String │  DEFAULT       │  'defaultvalue'     │           │                    │                  │
+└───────┴────┴────────┴────────── ┴───── ┴──────────┴─────────┘
+-- Delete the <strong id="mrs_01_24204__b243852123114355">test01</strong> column from the <strong id="mrs_01_24204__b2016024879114355">t1</strong> table.
+ALTER TABLE t1 DROP COLUMN test01;
+-- Query the modified table <strong id="mrs_01_24204__b81130856114355">t1</strong>.
+desc t1
+┌─name────┬─type─┬─default_type─┬─default_expression ┬─comment─┬─codec_expression─┬─ttl_expression─┐
+│  id          │ UInt8  │                │                     │           │                    │                  │  
+│  name        │ UInt8  │                │                     │           │                    │                  │ 
+│  address     │ String │                │                     │           │                    │                  │
+└───────┴────┴────────┴────────── ┴───── ┴──────────┴─────────┘</pre>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24199.html">Common ClickHouse SQL Syntax</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24205.html b/docs/mrs/component-operation-guide/mrs_01_24205.html
new file mode 100644
index 000000000..d573a57e5
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24205.html
@@ -0,0 +1,21 @@
+<a name="mrs_01_24205"></a><a name="mrs_01_24205"></a>
+
+<h1 class="topictitle1">DESC: Querying a Table Structure</h1>
+<div id="body0000001183607141"><p id="mrs_01_24205__p795718189259">This section describes the basic syntax and usage of the SQL statement for querying a table structure in ClickHouse.</p>
+<div class="section" id="mrs_01_24205__section15731114502716"><h4 class="sectiontitle">Basic Syntax</h4><p id="mrs_01_24205__p104443476279"><strong id="mrs_01_24205__b37781647192714">DESC</strong>|<strong id="mrs_01_24205__b147789471274">DESCRIBE </strong><strong id="mrs_01_24205__b13778154717273">TABLE </strong>[<em id="mrs_01_24205__i1677804712715">database_name</em>.]<em id="mrs_01_24205__i8778114713276">table </em>[<strong id="mrs_01_24205__b107788478277">INTO </strong>OUTFILE filename] [FORMAT format]</p>
+</div>
+<div class="section" id="mrs_01_24205__section7415105312712"><h4 class="sectiontitle">Example</h4><pre class="screen" id="mrs_01_24205__screen93650427616">-- Query the <strong id="mrs_01_24205__b615052443114624">t1</strong> table structure.
+desc t1;
+┌─name────┬─type─┬─default_type─┬─default_expression ┬─comment─┬─codec_expression─┬─ttl_expression─┐
+│  id          │ UInt8  │                │                     │           │                    │                  │  
+│  name        │ UInt8  │                │                     │           │                    │                  │ 
+│  address     │ String │                │                     │           │                    │                  │
+└───────┴────┴────────┴────────── ┴───── ┴──────────┴─────────┘</pre>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24199.html">Common ClickHouse SQL Syntax</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24206.html b/docs/mrs/component-operation-guide/mrs_01_24206.html
new file mode 100644
index 000000000..4b17142f8
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24206.html
@@ -0,0 +1,49 @@
+<a name="mrs_01_24206"></a><a name="mrs_01_24206"></a>
+
+<h1 class="topictitle1">Using ClickHouse to Import and Export Data</h1>
+<div id="body0000001137327118"><div class="section" id="mrs_01_24206__section199104327277"><h4 class="sectiontitle">Using ClickHouse to Import and Export Data</h4><p id="mrs_01_24206__p1487192917298">This section describes the basic syntax and usage of the SQL statements for importing and exporting file data using ClickHouse.</p>
+<ul id="mrs_01_24206__ul1520942816210"><li id="mrs_01_24206__li1820916287215">Importing data in CSV format<p id="mrs_01_24206__p140194592612"><a name="mrs_01_24206__li1820916287215"></a><a name="li1820916287215"></a><strong id="mrs_01_24206__b2950011930394">clickhouse client --host </strong><em id="mrs_01_24206__i13124935540394">Host name or IP address of the ClickHouse instance</em><strong id="mrs_01_24206__b6489275090394"> --database </strong><em id="mrs_01_24206__i7028530890394">Database name</em><strong id="mrs_01_24206__b3047282240394"> --port </strong><em id="mrs_01_24206__i751701840394">Port number</em> <strong id="mrs_01_24206__b12890944990394">--secure --format_csv_delimiter="</strong><em id="mrs_01_24206__i10780141430394">CSV file delimiter</em><strong id="mrs_01_24206__b4855963830394">" --query="INSERT INTO </strong><em id="mrs_01_24206__i10880761680394">Table name</em><strong id="mrs_01_24206__b10210022210394"> FORMAT CSV" &lt; </strong><em id="mrs_01_24206__i19685893130394">Host path where the CSV file is stored</em></p>
+<div class="p" id="mrs_01_24206__p1056241617306">Example<pre class="screen" id="mrs_01_24206__screen873362643120">clickhouse client --host 10.5.208.5 --database testdb --port 9440 --secure --format_csv_delimiter="," --query="INSERT INTO testdb.csv_table FORMAT CSV" &lt; /opt/data</pre>
+</div>
+<p id="mrs_01_24206__p1687153135914">You need to create a table in advance.</p>
+</li><li id="mrs_01_24206__li577771823213">Exporting data in CSV format<div class="caution" id="mrs_01_24206__note124025194611"><span class="cautiontitle"><img src="public_sys-resources/caution_3.0-en-us.png"> </span><div class="cautionbody"><p id="mrs_01_24206__p1640195134613">Exporting data files in CSV format may cause CSV injection. Exercise caution when performing this operation.</p>
+</div></div>
+<p id="mrs_01_24206__p1645510293338"><strong id="mrs_01_24206__b596889310394">clickhouse client --host </strong><em id="mrs_01_24206__i8616213050394">Host name or IP address of the ClickHouse instance</em> <strong id="mrs_01_24206__b20110820130394">--database</strong> <em id="mrs_01_24206__i14285611380394">Database name</em> <strong id="mrs_01_24206__b5517087780394">--port</strong> <em id="mrs_01_24206__i12279978990394">Port number</em><strong id="mrs_01_24206__b12670220050394"> -m --secure --query=</strong>"SELECT * <strong id="mrs_01_24206__b7823351630394">FROM </strong><em id="mrs_01_24206__i4983317090394">Table name</em>" &gt; <em id="mrs_01_24206__i15154091140394">CSV file export path</em></p>
+<div class="p" id="mrs_01_24206__p19715756173318">Example<pre class="screen" id="mrs_01_24206__screen5938124153417">clickhouse client --host 10.5.208.5 --database testdb --port 9440 -m --secure --query="SELECT * FROM test_table" &gt; /opt/test</pre>
+</div>
+</li><li id="mrs_01_24206__li824115815575">Importing data in Parquet format<p id="mrs_01_24206__p181801431601"><a name="mrs_01_24206__li824115815575"></a><a name="li824115815575"></a><strong id="mrs_01_24206__b5652853530394">cat </strong><em id="mrs_01_24206__i10027155180394">Parquet file</em><strong id="mrs_01_24206__b10921022350394"> | clickhouse client --host </strong><em id="mrs_01_24206__i16939053110394">Host name or IP address of the ClickHouse instance</em><strong id="mrs_01_24206__b12313626090394"> --database </strong><em id="mrs_01_24206__i14082881700394">Database name</em><strong id="mrs_01_24206__b14036760310394"> --port </strong><em id="mrs_01_24206__i2039320394">Port number</em><strong id="mrs_01_24206__b16330368630394"> -m --secure --query="INSERT INTO </strong><em id="mrs_01_24206__i8786038180394">Table name</em><strong id="mrs_01_24206__b8870554270394"> FORMAT Parquet"</strong></p>
+<div class="p" id="mrs_01_24206__p5719224205916">Example<pre class="screen" id="mrs_01_24206__screen437153085919">cat /opt/student.parquet | clickhouse client --host 10.5.208.5 --database testdb --port 9440 -m --secure --query="INSERT INTO parquet_tab001 FORMAT Parquet"</pre>
+</div>
+</li><li id="mrs_01_24206__li1245135655714">Exporting data in Parquet format<p id="mrs_01_24206__p15001501720"><a name="mrs_01_24206__li1245135655714"></a><a name="li1245135655714"></a><strong id="mrs_01_24206__b17102375950394">clickhouse client --host</strong> <em id="mrs_01_24206__i3800741750394">Host name or IP address of the ClickHouse instance</em> <strong id="mrs_01_24206__b1422347460394">--database</strong> <em id="mrs_01_24206__i3300567640394">Database name</em> <strong id="mrs_01_24206__b19967808450394">--port</strong> <em id="mrs_01_24206__i15232926580394">Port number</em><strong id="mrs_01_24206__b131643730394"> -m --secure --query=</strong>"<strong id="mrs_01_24206__b18992964680394">select </strong> * <strong id="mrs_01_24206__b6342104980394">from </strong><em id="mrs_01_24206__i5923966720394">Table name </em><strong id="mrs_01_24206__b16983697390394">FORMAT Parquet</strong>" &gt; <em id="mrs_01_24206__i8629680460394">Parquet file export path</em></p>
+<div class="p" id="mrs_01_24206__p1594085413614">Example<pre class="screen" id="mrs_01_24206__screen112612133716">clickhouse client --host 10.5.208.5 --database testdb --port 9440 -m --secure --query="select * from test_table FORMAT Parquet" &gt; /opt/student.parquet</pre>
+</div>
+</li><li id="mrs_01_24206__li994913021120">Importing data in ORC format<p id="mrs_01_24206__p1443142591218"><a name="mrs_01_24206__li994913021120"></a><a name="li994913021120"></a><strong id="mrs_01_24206__b303260200394">cat</strong> <em id="mrs_01_24206__i12000133230394">ORC file path</em> <strong id="mrs_01_24206__b17441246040394">| clickhouse client --host </strong><em id="mrs_01_24206__i14964776220394">Host name or IP address of the ClickHouse instance</em> <strong id="mrs_01_24206__b7613191770394">--database</strong> <em id="mrs_01_24206__i15534500380394">Database name</em> <strong id="mrs_01_24206__b3183180180394">--port</strong> <em id="mrs_01_24206__i14929530760394">Port number</em> <strong id="mrs_01_24206__b19345662450394">-m --secure --query=</strong>"<strong id="mrs_01_24206__b2954320140394">INSERT INTO </strong><em id="mrs_01_24206__i12430252900394">Table name</em> <strong id="mrs_01_24206__b20118083150394">FORMAT ORC</strong>"</p>
+<div class="p" id="mrs_01_24206__p159671356201112">Example<pre class="screen" id="mrs_01_24206__screen862330111215">cat /opt/student.orc | clickhouse client --host 10.5.208.5 --database testdb --port 9440 -m --secure --query="INSERT INTO orc_tab001 FORMAT ORC"
+# Data in the ORC file can be exported from HDFS. For example:
+hdfs dfs -cat<strong id="mrs_01_24206__b116600421189"> </strong>/user/hive/warehouse/hivedb.db/emp_orc/000000_0_copy_1 | clickhouse client --host<strong id="mrs_01_24206__b15879142853514"> </strong>10.5.208.5 --database testdb --port 9440 -m --secure --query="INSERT INTO orc_tab001 FORMAT ORC"</pre>
+</div>
+</li><li id="mrs_01_24206__li56883621113">Exporting data in ORC format<p id="mrs_01_24206__p78622224130"><a name="mrs_01_24206__li56883621113"></a><a name="li56883621113"></a><strong id="mrs_01_24206__b8989232410394">clickhouse client --host </strong><em id="mrs_01_24206__i9062710860394">Host name or IP address of the ClickHouse instance</em> <strong id="mrs_01_24206__b1124680360394">--database </strong><em id="mrs_01_24206__i13353178680394">Database name</em> <strong id="mrs_01_24206__b15058977970394">--port </strong><em id="mrs_01_24206__i12603230660394">Port number</em> <strong id="mrs_01_24206__b18129059490394">-m</strong> <strong id="mrs_01_24206__b4325158450394">--secure --query=</strong>"<strong id="mrs_01_24206__b13615118050394">select </strong>* <strong id="mrs_01_24206__b16533932670394">from </strong><em id="mrs_01_24206__i20786372240394">Table name</em> <strong id="mrs_01_24206__b16000244020394">FORMAT ORC</strong>" &gt; <em id="mrs_01_24206__i9098703770394">ORC file export path</em></p>
+<div class="p" id="mrs_01_24206__p249770111214">Example<pre class="screen" id="mrs_01_24206__screen562318031416">clickhouse client --host 10.5.208.5 --database testdb --port 9440 -m --secure --query="select * from csv_tab001 FORMAT ORC" &gt; /opt/student.orc</pre>
+</div>
+</li><li id="mrs_01_24206__li984619120339">Importing data in JSON format<p id="mrs_01_24206__p17790183095212"><a name="mrs_01_24206__li984619120339"></a><a name="li984619120339"></a><strong id="mrs_01_24206__b11789791940394">INSERT INTO </strong><em id="mrs_01_24206__i3851595530394">Table name</em> <strong id="mrs_01_24206__b15657173440394">FORMAT JSONEachRow </strong><em id="mrs_01_24206__i9068441110394">JSON string </em><em id="mrs_01_24206__i15851408470394">1</em>  <em id="mrs_01_24206__i16145610800394">JSON string 2</em></p>
+<div class="p" id="mrs_01_24206__p13472244103110">Example<pre class="screen" id="mrs_01_24206__screen7467123713526">INSERT INTO test_table001 FORMAT JSONEachRow {"PageViews":5, "UserID":"4324182021466249494", "Duration":146,"Sign":-1} {"UserID":"4324182021466249494","PageViews":6,"Duration":185,"Sign":1}</pre>
+</div>
+</li><li id="mrs_01_24206__li7709622193111">Exporting data in JSON format<p id="mrs_01_24206__p15225135143815"><a name="mrs_01_24206__li7709622193111"></a><a name="li7709622193111"></a><strong id="mrs_01_24206__b251484490394">clickhouse client --host </strong><em id="mrs_01_24206__i21067785420394">Host name or IP address of the ClickHouse instance</em> <strong id="mrs_01_24206__b20582436910394">--database</strong> <em id="mrs_01_24206__i3926747090394">Database name </em><strong id="mrs_01_24206__b17955240760394">--port</strong> <em id="mrs_01_24206__i231067370394">Port number</em> <strong id="mrs_01_24206__b1628774080394"> -m --secure --query=</strong>"<strong id="mrs_01_24206__b5969511260394">SELECT </strong>* <strong id="mrs_01_24206__b16940429250394">FROM </strong><em id="mrs_01_24206__i16395709750394">Table name</em> <strong id="mrs_01_24206__b11125574470394">FORMAT JSON|JSONEachRow|JSONCompact|...</strong>" &gt; <em id="mrs_01_24206__i11956208430394">JSON file export path</em></p>
+<div class="p" id="mrs_01_24206__p19575750163513">Example<pre class="screen" id="mrs_01_24206__screen127092566352"># Export JSON file.
+clickhouse client --host 10.5.208.5 --database testdb --port 9440 -m --secure --query="SELECT * FROM test_table FORMAT JSON" &gt; /opt/test.json
+
+# Export json(JSONEachRow).
+clickhouse client --host 10.5.208.5 --database testdb --port 9440 -m --secure --query="SELECT * FROM test_table FORMAT JSONEachRow" &gt; /opt/test_jsoneachrow.json
+
+# Export json(JSONCompact).
+clickhouse client --host 10.5.208.5 --database testdb --port 9440 -m --secure --query="SELECT * FROM test_table FORMAT JSONCompact" &gt; /opt/test_jsoncompact.json</pre>
+</div>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24250.html">Migrating ClickHouse Data</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24207.html b/docs/mrs/component-operation-guide/mrs_01_24207.html
new file mode 100644
index 000000000..038963c20
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24207.html
@@ -0,0 +1,30 @@
+<a name="mrs_01_24207"></a><a name="mrs_01_24207"></a>
+
+<h1 class="topictitle1">SHOW: Displaying Information About Databases and Tables</h1>
+<div id="body0000001138847696"><p id="mrs_01_24207__p37061892811">This section describes the basic syntax and usage of the SQL statement for displaying information about databases and tables in ClickHouse.</p>
+<div class="section" id="mrs_01_24207__section15282030182819"><h4 class="sectiontitle">Basic Syntax</h4><p id="mrs_01_24207__p129177369281"><strong id="mrs_01_24207__b179171336152812">show databases</strong></p>
+<p id="mrs_01_24207__p9917163614286"><strong id="mrs_01_24207__b109171436172812">show tables</strong></p>
+</div>
+<div class="section" id="mrs_01_24207__section14679051162815"><h4 class="sectiontitle">Example</h4><pre class="screen" id="mrs_01_24207__screen1946011419213">-- Query database information.
+show databases;
+┌─name────┐
+│ default      │
+│ system       │
+│ test         │
+└───────┘
+-- Query table information.
+show tables;
+┌─name──┐
+│ t1       │
+│ test     │
+│ test2    │
+│ test5    │
+└─────┘</pre>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24199.html">Common ClickHouse SQL Syntax</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24208.html b/docs/mrs/component-operation-guide/mrs_01_24208.html
new file mode 100644
index 000000000..b5352c3f3
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24208.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_24208"></a><a name="mrs_01_24208"></a>
+
+<h1 class="topictitle1">DROP: Deleting a Table</h1>
+<div id="body0000001184582681"><p id="mrs_01_24208__p795718189259">This section describes the basic syntax and usage of the SQL statement for deleting a ClickHouse table.</p>
+<div class="section" id="mrs_01_24208__section49341742151616"><h4 class="sectiontitle">Basic Syntax</h4><p id="mrs_01_24208__p3255184581616"><strong id="mrs_01_24208__b1779384816">DROP </strong>[<strong id="mrs_01_24208__b198081745184">TEMPORARY</strong>] <strong id="mrs_01_24208__b482044712815">TABLE </strong>[<strong id="mrs_01_24208__b1385225511810">IF EXISTS</strong>] [<em id="mrs_01_24208__i1335112593818">database_name</em>.]<em id="mrs_01_24208__i11153192298">name </em>[<strong id="mrs_01_24208__b255317611915">ON CLUSTER</strong> <em id="mrs_01_24208__i2966581896">cluster</em>]</p>
+</div>
+<div class="section" id="mrs_01_24208__section13685554111618"><h4 class="sectiontitle">Example</h4><pre class="screen" id="mrs_01_24208__screen145211827183">-- Delete the <strong id="mrs_01_24208__b1199619340114825">t1</strong> table.
+drop table t1;</pre>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24199.html">Common ClickHouse SQL Syntax</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24250.html b/docs/mrs/component-operation-guide/mrs_01_24250.html
new file mode 100644
index 000000000..dd3ab326d
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24250.html
@@ -0,0 +1,23 @@
+<a name="mrs_01_24250"></a><a name="mrs_01_24250"></a>
+
+
+  <h1 class="topictitle1">Migrating ClickHouse Data</h1>
+
+  <div id="body0000001198533209"><p id="mrs_01_24250__p8060118"></p>
+</div>
+
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_24206.html">Using ClickHouse to Import and Export Data</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24377.html">Synchronizing Kafka Data to ClickHouse</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24198.html">Using the ClickHouse Data Migration Tool</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2344.html">Using ClickHouse</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24251.html b/docs/mrs/component-operation-guide/mrs_01_24251.html
new file mode 100644
index 000000000..87729781d
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24251.html
@@ -0,0 +1,21 @@
+<a name="mrs_01_24251"></a><a name="mrs_01_24251"></a>
+
+
+  <h1 class="topictitle1">User Management and Authentication</h1>
+
+  <div id="body0000001198693095"><p id="mrs_01_24251__p8060118"></p>
+</div>
+
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_24057.html">ClickHouse User and Permission Management</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24109.html">Interconnecting ClickHouse With OpenLDAP for Authentication</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2344.html">Using ClickHouse</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24292.html b/docs/mrs/component-operation-guide/mrs_01_24292.html
new file mode 100644
index 000000000..4663e1c60
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24292.html
@@ -0,0 +1,42 @@
+<a name="mrs_01_24292"></a><a name="mrs_01_24292"></a>
+
+<h1 class="topictitle1">Backing Up and Restoring ClickHouse Data Using a Data File</h1>
+<div id="body0000001213828401"><div class="section" id="mrs_01_24292__section1679317551859"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_24292__p79281945151012">This section describes how to back up data by exporting ClickHouse data to a CSV file and restore data using the CSV file.</p>
+</div>
+<div class="section" id="mrs_01_24292__section992817454108"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_24292__ul19281345101017"><li id="mrs_01_24292__li13928134520102">You have installed the ClickHouse client.</li><li id="mrs_01_24292__li19928145181016">You have created a user with related permissions on ClickHouse tables on Manager.</li><li id="mrs_01_24292__li6928164515108">You have prepared a server for backup.</li></ul>
+</div>
+<div class="section" id="mrs_01_24292__section1999010433103"><h4 class="sectiontitle">Backing Up Data</h4><ol id="mrs_01_24292__ol16928124513104"><li id="mrs_01_24292__li5928174516108"><span>Log in to the node where the client is installed as the client installation user.</span></li><li id="mrs_01_24292__li1792874591010"><span>Run the following command to go to the client installation directory:</span><p><p id="mrs_01_24292__p192811458102"><strong id="mrs_01_24292__b392816458101">cd /opt/client</strong></p>
+</p></li><li id="mrs_01_24292__li1892844511102"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_24292__p492834541010"><strong id="mrs_01_24292__b1392813452103">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_24292__li1910333418475"><span>If Kerberos authentication is enabled for the current cluster, run the following command to authenticate the current user. The current user must have the permission to create ClickHouse tables. If Kerberos authentication is disabled for the current cluster, skip this step.</span><p><ol type="a" id="mrs_01_24292__ol105001049105617"><li id="mrs_01_24292__li874145945616">Run the following command if it is an MRS 3.1.0 cluster:<p id="mrs_01_24292__p1957917005718"><a name="mrs_01_24292__li874145945616"></a><a name="li874145945616"></a><strong id="mrs_01_24292__b5766124418552">export  CLICKHOUSE_SECURITY_ENABLED=true</strong></p>
+</li><li id="mrs_01_24292__li89311551185611"><strong id="mrs_01_24292__b936123635310">kinit</strong> <em id="mrs_01_24292__i442236105313">Component service user</em><p id="mrs_01_24292__p23600116552">Example: <strong id="mrs_01_24292__b1976844017533">kinit clickhouseuser</strong></p>
+</li></ol>
+</p></li><li id="mrs_01_24292__li109284457109"><span>Run the ClickHouse client command to export the ClickHouse table data to be backed up to a specified directory.</span><p><p id="mrs_01_24292__p19287456105"><strong id="mrs_01_24292__b209281245161017">clickhouse client --host </strong><em id="mrs_01_24292__i17928134514109">Host name/Instance IP address</em><strong id="mrs_01_24292__b392834551013"> --secure --port 9440 --query=</strong>"<em id="mrs_01_24292__i89281145131017">Table query statement</em>" &gt; <em id="mrs_01_24292__i10928144521019">Path of the exported CSV file</em></p>
+<p id="mrs_01_24292__p169281945191014">The following shows an example of backing up data in the <strong id="mrs_01_24292__b817867479104742">test</strong> table to the <strong id="mrs_01_24292__b878269331104742">default_test.csv</strong> file on the ClickHouse instance <strong id="mrs_01_24292__b1677069001104742">10.244.225.167</strong>.</p>
+<p id="mrs_01_24292__p3928124519104"><strong id="mrs_01_24292__b10928124561015">clickhouse client --host 10.244.225.167 --secure --port 9440 --query="select * from default.test FORMAT CSV" &gt; /opt/clickhouse/default_test.csv</strong></p>
+</p></li><li id="mrs_01_24292__li189281545161013"><span>Upload the exported CSV file to the backup server.</span></li></ol>
+</div>
+<div class="section" id="mrs_01_24292__section899217431104"><h4 class="sectiontitle">Restoring Data</h4><ol id="mrs_01_24292__ol189290452101"><li id="mrs_01_24292__li59297455105"><span>Upload the backup data file on the backup server to the directory where the ClickHouse client is located.</span><p><p id="mrs_01_24292__p19929154531016">For example, upload the <strong id="mrs_01_24292__b1301709311104742">default_test.csv</strong> backup file to the <strong id="mrs_01_24292__b1436077636104742">/opt/clickhouse</strong> directory.</p>
+</p></li><li id="mrs_01_24292__li792918452107"><span>Log in to the node where the client is installed as the client installation user.</span></li><li id="mrs_01_24292__li18929114571016"><span>Run the following command to go to the client installation directory:</span><p><p id="mrs_01_24292__p192964511103"><strong id="mrs_01_24292__b20929194531010">cd /opt/client</strong></p>
+</p></li><li id="mrs_01_24292__li209298458107"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_24292__p99291845151018"><strong id="mrs_01_24292__b9929845121015">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_24292__li7827626191010"><span>If Kerberos authentication is enabled for the current cluster, run the following command to authenticate the current user. The current user must have the permission to create ClickHouse tables. If Kerberos authentication is disabled for the current cluster, skip this step.</span><p><ol type="a" id="mrs_01_24292__ol9827726101016"><li id="mrs_01_24292__li1382715264106">Run the following command if it is an MRS 3.1.0 cluster:<p id="mrs_01_24292__p178271526111010"><a name="mrs_01_24292__li1382715264106"></a><a name="li1382715264106"></a><strong id="mrs_01_24292__b3827226111010">export  CLICKHOUSE_SECURITY_ENABLED=true</strong></p>
+</li><li id="mrs_01_24292__li4827102691014"><strong id="mrs_01_24292__b13688165315537">kinit</strong> <em id="mrs_01_24292__i8694853115310">Component service user</em><p id="mrs_01_24292__p108271026131018">Example: <strong id="mrs_01_24292__b177411355135312">kinit clickhouseuser</strong></p>
+</li></ol>
+</p></li><li id="mrs_01_24292__li29293451102"><span>Run the ClickHouse client command to log in to the ClickHouse cluster.</span><p><p id="mrs_01_24292__p1929184520101"><strong id="mrs_01_24292__b179298455101">clickhouse client --host </strong><em id="mrs_01_24292__i1092984511011">Host name/Instance IP address</em><strong id="mrs_01_24292__b16929194521018"> --secure</strong><strong id="mrs_01_24292__b392924511106"> --port 9440</strong></p>
+</p></li><li id="mrs_01_24292__li14929104515101"><a name="mrs_01_24292__li14929104515101"></a><a name="li14929104515101"></a><span>Create a table with the format corresponding to the CSV file.</span><p><p id="mrs_01_24292__p89295452109"><strong id="mrs_01_24292__b1965049723104742">CREATE TABLE [IF NOT EXISTS] </strong><em id="mrs_01_24292__i1523353835104742">[database_name.]table_name</em><strong id="mrs_01_24292__b85456425104742"> [ON CLUSTER </strong><em id="mrs_01_24292__i1654915186104742">Cluster name</em><strong id="mrs_01_24292__b357075138104742">]</strong></p>
+<p id="mrs_01_24292__p11929144591016"><strong id="mrs_01_24292__b17929144510101">(</strong></p>
+<p id="mrs_01_24292__p15929184591018"><strong id="mrs_01_24292__b1592984514100"></strong><em id="mrs_01_24292__i14929194511015">name1</em><strong id="mrs_01_24292__b09291145131016"> [</strong><em id="mrs_01_24292__i3929945101016">type1</em><strong id="mrs_01_24292__b2929174518106">] [DEFAULT|</strong><em id="mrs_01_24292__i2092954518109">materialized</em><strong id="mrs_01_24292__b13929845131012">|ALIAS </strong><em id="mrs_01_24292__i16929124571011">expr1</em><strong id="mrs_01_24292__b7929194511017">],</strong></p>
+<p id="mrs_01_24292__p209292454104"><strong id="mrs_01_24292__b6929114511018"></strong><em id="mrs_01_24292__i1392910454104">name2</em><strong id="mrs_01_24292__b169291545141010"><em id="mrs_01_24292__i79291145151011"> </em>[</strong><em id="mrs_01_24292__i69299455109">type2</em><strong id="mrs_01_24292__b59292458102">] [DEFAULT|</strong><em id="mrs_01_24292__i79291945191017">materialized</em><strong id="mrs_01_24292__b1493014456108">|ALIAS </strong><em id="mrs_01_24292__i169303457100">expr2</em><strong id="mrs_01_24292__b49301645121018">],</strong></p>
+<p id="mrs_01_24292__p13930445121020"><strong id="mrs_01_24292__b593064521015">...</strong></p>
+<p id="mrs_01_24292__p79301945191019"><strong id="mrs_01_24292__b189301145101012">) </strong><em id="mrs_01_24292__i12930144512109">ENGINE</em> = <em id="mrs_01_24292__i2930144518109">engine</em></p>
+</p></li><li id="mrs_01_24292__li293064518109"><span>Import the content in the backup file to the table created in <a href="#mrs_01_24292__li14929104515101">7</a> to restore data.</span><p><p id="mrs_01_24292__p1993017457105"><strong id="mrs_01_24292__b79301645181011">clickhouse client --host </strong><em id="mrs_01_24292__i1693015456107">Host name/Instance IP address</em> <strong id="mrs_01_24292__b39303456103">--secure --port 9440 --query=</strong>"<strong id="mrs_01_24292__b1593004541011">insert into </strong><em id="mrs_01_24292__i393019450107">Table name</em> <strong id="mrs_01_24292__b593017454103">F</strong><strong id="mrs_01_24292__b20930164561019">ORMAT CSV</strong>" <strong id="mrs_01_24292__b18930184551012">&lt; </strong><em id="mrs_01_24292__i4930104581010">CSV file path</em></p>
+<p id="mrs_01_24292__p11930144518107">The following shows an example of restoring data from the <strong id="mrs_01_24292__b914717579104742">default_test.csv</strong> backup file to the <strong id="mrs_01_24292__b958181822104742">test_cpy</strong> table on the ClickHouse instance <strong id="mrs_01_24292__b1734660232104742">10.244.225.167</strong>.</p>
+<p id="mrs_01_24292__p13930134541016"><strong id="mrs_01_24292__b1993084510107">clickhouse client --host </strong><strong id="mrs_01_24292__b169302453100">10.244.225.167 </strong><strong id="mrs_01_24292__b19301145131010">--secure --port 9440 --query=</strong><strong id="mrs_01_24292__b1493044501017">"insert into default.test_cpy FORMAT CSV" &lt; /opt/clickhouse/default_test.csv</strong></p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2344.html">Using ClickHouse</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24293.html b/docs/mrs/component-operation-guide/mrs_01_24293.html
new file mode 100644
index 000000000..e77958ce5
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24293.html
@@ -0,0 +1,18 @@
+<a name="mrs_01_24293"></a><a name="mrs_01_24293"></a>
+
+<h1 class="topictitle1">Configuring Hive on HBase in Across Clusters with Mutual Trust Enabled</h1>
+<div id="body0000001215079241"><p id="mrs_01_24293__p10461140104514">For mutually trusted Hive and HBase clusters with Kerberos authentication enabled, you can access the HBase cluster and synchronize its key configurations to HiveServer of the Hive cluster.</p>
+<div class="section" id="mrs_01_24293__section163151238104613"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_24293__p7751476460">The mutual trust relationship has been configured between the two security clusters with Kerberos authentication enabled.</p>
+</div>
+<div class="section" id="mrs_01_24293__section105261734483"><h4 class="sectiontitle">Procedure for Configuring Hive on HBase Across Clusters</h4><ol id="mrs_01_24293__ol58441425164811"><li id="mrs_01_24293__li208447254483"><span>Download the HBase configuration file and decompress it.</span><p><ol type="a" id="mrs_01_24293__ol133372159508"><li id="mrs_01_24293__li5629619125017">Log in to FusionInsight Manager of the target HBase cluster and choose <strong id="mrs_01_24293__b11998357514">Cluster</strong> &gt; <strong id="mrs_01_24293__b19867537135919">Services</strong> &gt; <strong id="mrs_01_24293__b7355437355">HBase</strong>.</li><li id="mrs_01_24293__li1631114551238">Choose <strong id="mrs_01_24293__b245144114513">More</strong> &gt; <strong id="mrs_01_24293__b56591543151">Download Client</strong>.</li><li id="mrs_01_24293__li1431283810514">Download the HBase configuration file and choose <strong id="mrs_01_24293__b81317341369">Configuration Files only</strong> for <strong id="mrs_01_24293__b96205119811">Select Client Type</strong>.</li></ol>
+</p></li><li id="mrs_01_24293__li1235924213496"><span>Log in to FusionInsight Manager of the source Hive cluster.</span></li><li id="mrs_01_24293__li111107165"><span>Choose <strong id="mrs_01_24293__b174448021214">Cluster</strong> &gt; <strong id="mrs_01_24293__b8180105255913">Services</strong> &gt; <strong id="mrs_01_24293__b29241026120">Hive</strong> and click the <strong id="mrs_01_24293__b2031591521319">Configurations</strong> tab and then <strong id="mrs_01_24293__b19642202621318">All Configurations</strong>. On the displayed page, add the following parameters to the <strong id="mrs_01_24293__b1623672251415">hive-site.xml</strong> configuration file of the HiveServer role.</span><p><p id="mrs_01_24293__p1050313333481">Search for the following parameters in the <strong id="mrs_01_24293__b14458127111611">hbase-site.xml</strong> configuration file of the downloaded HBase client and add them to HiveServer:</p>
+<ul id="mrs_01_24293__ul98320273129"><li id="mrs_01_24293__li1027103021217">hbase.security.authentication</li><li id="mrs_01_24293__li1470973219120">hbase.security.authorization</li><li id="mrs_01_24293__li1455218442125">hbase.zookeeper.property.clientPort</li><li id="mrs_01_24293__li617317513124">hbase.zookeeper.quorum (The domain name needs to be converted into an IP address.)</li><li id="mrs_01_24293__li1977005319126">hbase.regionserver.kerberos.principal</li><li id="mrs_01_24293__li523953561214">hbase.master.kerberos.principal</li></ul>
+</p></li><li id="mrs_01_24293__li1992105116498"><span>Save the configurations and restart Hive.</span></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0581.html">Using Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24299.html b/docs/mrs/component-operation-guide/mrs_01_24299.html
new file mode 100644
index 000000000..83d7f0617
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24299.html
@@ -0,0 +1,38 @@
+<a name="mrs_01_24299"></a><a name="mrs_01_24299"></a>
+
+<h1 class="topictitle1">Balancing Data After Kafka Node Scale-Out</h1>
+<div id="body0000001219572083"><div class="section" id="mrs_01_24299__section4827236132212"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_24299__p40367418151531">This section describes how to use the Kafka balancing tool on the client to balance the load of the Kafka cluster after Kafka nodes are scaled out.</p>
+<p id="mrs_01_24299__p1944684185813">This section applies to versions earlier than MRS 3.<em id="mrs_01_24299__i8694031073">x</em>. For MRS 3.<em id="mrs_01_24299__i2365004112">x</em> or later, see <a href="mrs_01_1040.html">Kafka Balancing Tool Instructions</a>.</p>
+</div>
+<div class="section" id="mrs_01_24299__section931651784616"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_24299__ul19139195714561"><li id="mrs_01_24299__li26261426155215">The system administrator has understood service requirements and prepared a Kafka administrator (belonging to the <strong id="mrs_01_24299__b187977461522724">kafkaadmin</strong> group and not required for the normal mode).</li><li id="mrs_01_24299__li71391357135619">The Kafka client has been installed, for example, in the <strong id="mrs_01_24299__b6206125217816">/opt/kafkaclient</strong> directory.</li><li id="mrs_01_24299__li1913955785616">Two topics named <strong id="mrs_01_24299__b114918203919">test_2</strong> and <strong id="mrs_01_24299__b839792315911">test_3</strong> has been created by referring to <a href="mrs_01_0376.html#mrs_01_0376__lef5a65dfacd94aca8c9991c442b4a360">7</a>. The <strong id="mrs_01_24299__b20445343495">move-kafka-topic.json</strong> file has been created in the <strong id="mrs_01_24299__b22191458191014">/opt/kafkaclient/Kafka/kafka</strong> directory. The topic format is as follows:<pre class="screen" id="mrs_01_24299__screen0155174711503">{
+"topics":
+[{"topic":"test_2"},{"topic":"test_3"}],
+"version":1
+}</pre>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_24299__section1232025214223"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_24299__ol124875612551"><li id="mrs_01_24299__li122480564554"><span>Log in to the node where the Kafka client is installed as the client installation user.</span></li><li id="mrs_01_24299__li16918114569"><span>Run the following command to switch to the client installation directory:</span><p><p id="mrs_01_24299__p1735010414542"><strong id="mrs_01_24299__b435018418540">cd /opt/kafkaclient</strong></p>
+</p></li><li id="mrs_01_24299__li196159493194"><span>Run the following command to set environment variables:</span><p><p id="mrs_01_24299__p1359972013202"><strong id="mrs_01_24299__b1920152216">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_24299__li15295192685612"><span>Run the following command to perform user authentication (skip this step if the cluster is in normal mode):</span><p><p id="mrs_01_24299__p735004119545"><strong id="mrs_01_24299__b34792343522724">kinit</strong> <em id="mrs_01_24299__i83966117922724">Component service user</em></p>
+</p></li><li id="mrs_01_24299__li161674215560"><span>Run the following command to go to the <strong id="mrs_01_24299__b515519287138">bin</strong> directory of the Kafka client:</span><p><p id="mrs_01_24299__p4202205010398"><strong id="mrs_01_24299__b18463951104813">cd Kafka/kafka/bin</strong></p>
+</p></li><li id="mrs_01_24299__li1423719131942"><a name="mrs_01_24299__li1423719131942"></a><a name="li1423719131942"></a><span>Run the following command to generate an execution plan:</span><p><p id="mrs_01_24299__p11259201313410"><strong id="mrs_01_24299__b1025018131545">./kafka-reassign-partitions.sh --zookeeper  </strong><em id="mrs_01_24299__i183361512161120">172.16.0.119:</em><strong id="mrs_01_24299__b5864201271120">2181</strong><strong id="mrs_01_24299__b152502131747">/kafka --topics-to-move-json-file ../move-kafka-topic.json --broker-list "</strong><em id="mrs_01_24299__i32503131948">1,2,3</em><strong id="mrs_01_24299__b122591513944">" --generate</strong></p>
+<div class="note" id="mrs_01_24299__note162599139411"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_24299__ul1226387187"><li id="mrs_01_24299__li1822616818188"><strong id="mrs_01_24299__b11691164820137">172.16.0.119</strong>: service IP address of the ZooKeeper instance</li><li id="mrs_01_24299__li112263819189"><strong id="mrs_01_24299__b998811461415">--broker-list "1,2,3"</strong>: list of broker instances. <strong id="mrs_01_24299__b103551943121419">1,2,3</strong> indicates all broker IDs after a scale-out.</li></ul>
+</div></div>
+<p id="mrs_01_24299__p852673011412"><span><img id="mrs_01_24299__image10526203041414" src="en-us_image_0000001349289889.png"></span></p>
+</p></li><li id="mrs_01_24299__li324111163179"><span>Run the <strong id="mrs_01_24299__b105723918235">vim ../reassignment.json</strong> command to create the <strong id="mrs_01_24299__b189561512192316">reassignment.json</strong> file and save it to the <strong id="mrs_01_24299__b196059202234">/opt/kafkaclient/Kafka/kafka</strong> directory.</span><p><div class="p" id="mrs_01_24299__p8481191841719">Copy the content under <strong id="mrs_01_24299__b146701345241">Proposed partition reassignment configuration</strong> generated in <a href="#mrs_01_24299__li1423719131942">6</a> to the <strong id="mrs_01_24299__b1483710584242">reassignment.json</strong> file, as shown in the follows:<pre class="screen" id="mrs_01_24299__screen6999622181616">{"version":1,"partitions":[{"topic":"test","partition":4,"replicas":[1,2],"log_dirs":["any","any"]},{"topic":"test","partition":1,"replicas":[1,3],"log_dirs":["any","any"]},{"topic":"test","partition":3,"replicas":[3,1],"log_dirs":["any","any"]},{"topic":"test","partition":0,"replicas":[3,2],"log_dirs":["any","any"]},{"topic":"test","partition":2,"replicas":[2,1],"log_dirs":["any","any"]}]}</pre>
+</div>
+</p></li><li id="mrs_01_24299__li540619226338"><span>Run the following command to redistribute partitions:</span><p><p id="mrs_01_24299__p181932049153315"><strong id="mrs_01_24299__b162239437212">./kafka-reassign-partitions.sh --zookeeper </strong><em id="mrs_01_24299__i1815703717236">172.16.0.119:</em><strong id="mrs_01_24299__b15163153810237">2181</strong><strong id="mrs_01_24299__b72140521376">/kafka --reassignment-json-file ../reassignment.json --execute --throttle </strong><em id="mrs_01_24299__i196381852143719">50000000</em></p>
+<div class="note" id="mrs_01_24299__note186451665512"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="mrs_01_24299__p186601615554"><strong id="mrs_01_24299__b137463113253">--throttle 50000000</strong>: The maximum bandwidth is 50 MB/s. You can change the bandwidth based on the data volume and the customer's requirements on the balancing time. If the data volume is 5 TB, the bandwidth is 50 MB/s and the data balancing takes about 8 hours.</p>
+</div></div>
+<p id="mrs_01_24299__p119051257121414"><span><img id="mrs_01_24299__image89041157141410" src="en-us_image_0000001349170305.png"></span></p>
+</p></li><li id="mrs_01_24299__li1030051193412"><span>Run the following command to check the data migration status:</span><p><p id="mrs_01_24299__p822664173515"><strong id="mrs_01_24299__b201413291125">./kafka-reassign-partitions.sh --zookeeper </strong><em id="mrs_01_24299__i630584312239">172.16.0.119:</em><strong id="mrs_01_24299__b14309043132314">2181</strong><strong id="mrs_01_24299__b214152912217">/kafka --reassignment-json-file ../reassignment.json --verify</strong></p>
+<p id="mrs_01_24299__p115391849125612"><span><img id="mrs_01_24299__image14167175145619" src="en-us_image_0000001438962057.png"></span></p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0375.html">Using Kafka</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_24377"></a><a name="mrs_01_24377"></a>
+
+<h1 class="topictitle1">Synchronizing Kafka Data to ClickHouse</h1>
+<div id="body0000001177903444"><p id="mrs_01_24377__p99991325122814">This section describes how to create a Kafka table to automatically synchronize Kafka data to the ClickHouse cluster.</p>
+<div class="section" id="mrs_01_24377__section51183720311"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_24377__ul1696835973115"><li id="mrs_01_24377__li5968105919312">You have created a Kafka cluster. The Kafka client has been installed.</li><li id="mrs_01_24377__li332933173114">A ClickHouse cluster has been created. It is in the same VPC as the Kafka cluster and can communicate with each other.</li><li id="mrs_01_24377__li25497248328">The ClickHouse client has been installed.</li></ul>
+</div>
+<div class="section" id="mrs_01_24377__section1715164319232"><h4 class="sectiontitle">Constraints</h4><p id="mrs_01_24377__p1565012467236">Currently, ClickHouse cannot interconnect with Kafka clusters with security mode enabled.</p>
+</div>
+<div class="section" id="mrs_01_24377__section10908164973416"><a name="mrs_01_24377__section10908164973416"></a><a name="section10908164973416"></a><h4 class="sectiontitle">Syntax of the Kafka Table</h4><ul id="mrs_01_24377__ul17852183815396"><li id="mrs_01_24377__li9852203819395"><strong id="mrs_01_24377__b169761841247">Syntax</strong><pre class="screen" id="mrs_01_24377__screen1653085211397">CREATE TABLE [IF NOT EXISTS] [db.]table_name [ON CLUSTER cluster]
+(
+    name1 [type1] [DEFAULT|MATERIALIZED|ALIAS expr1],
+    name2 [type2] [DEFAULT|MATERIALIZED|ALIAS expr2],
+    ...
+) ENGINE = Kafka()
+SETTINGS
+    kafka_broker_list = 'host1:port1,host2:port2',
+    kafka_topic_list = 'topic1,topic2,...',
+    kafka_group_name = 'group_name',
+    kafka_format = 'data_format';
+    [kafka_row_delimiter = 'delimiter_symbol',]
+    [kafka_schema = '',]
+    [kafka_num_consumers = N]</pre>
+</li><li id="mrs_01_24377__li361911291437"><strong id="mrs_01_24377__b1060987144">Parameter description</strong>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24377__table2094810916447" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Kafka table parameters</caption><thead align="left"><tr id="mrs_01_24377__row1694819984412"><th align="left" class="cellrowborder" valign="top" width="16.521652165216523%" id="mcps1.3.4.2.2.2.2.4.1.1"><p id="mrs_01_24377__p694812919441">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="8.430843084308432%" id="mcps1.3.4.2.2.2.2.4.1.2"><p id="mrs_01_24377__p139488984417">Mandatory</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="75.04750475047504%" id="mcps1.3.4.2.2.2.2.4.1.3"><p id="mrs_01_24377__p5948139134419">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24377__row1594849144412"><td class="cellrowborder" valign="top" width="16.521652165216523%" headers="mcps1.3.4.2.2.2.2.4.1.1 "><p id="mrs_01_24377__p1194817913443">kafka_broker_list</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.430843084308432%" headers="mcps1.3.4.2.2.2.2.4.1.2 "><p id="mrs_01_24377__p29484914449">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.04750475047504%" headers="mcps1.3.4.2.2.2.2.4.1.3 "><p id="mrs_01_24377__p169481913446">A list of Kafka broker instances, separated by comma (,). For example, <em id="mrs_01_24377__i104424911275">IP address 1 of the Kafka broker instance</em>:<strong id="mrs_01_24377__b9444153024010">9092</strong>,<em id="mrs_01_24377__i1444104915273">IP address 2 of the Kafka broker instance</em>:<strong id="mrs_01_24377__b1525111012814">9092</strong>,<em id="mrs_01_24377__i1344204912714">IP address 3 of the Kafka broker instance</em>:<strong id="mrs_01_24377__b15522512142810">9092</strong>.</p>
+<p id="mrs_01_24377__p16153131918356">To obtain the IP address of the Kafka broker instance, perform the following steps:</p>
+<ul id="mrs_01_24377__ul48008460573"><li id="mrs_01_24377__li1080074618576">For versions earlier than MRS 3.x, click the cluster name to go to the cluster details page and choose <strong id="mrs_01_24377__b130143534122219">Components</strong> &gt; <strong id="mrs_01_24377__b56140872822219">Kafka</strong>. Click <span class="uicontrol" id="mrs_01_24377__uicontrol3121144220456"><b>Instances</b></span> to query the IP addresses of the Kafka instances.<div class="note" id="mrs_01_24377__note1280014616574"><span class="notetitle"> NOTE: </span><div class="notebody"><p id="mrs_01_24377__p158007468574">If the <strong id="mrs_01_24377__b195351045185413">Components</strong> tab is unavailable, complete IAM user synchronization first. (On the <strong id="mrs_01_24377__b13535945195418">Dashboard</strong> page, click <strong id="mrs_01_24377__b45351045185413">Synchronize</strong> on the right side of <span class="parmname" id="mrs_01_24377__parmname753604525419"><b>IAM User Sync</b></span> to synchronize IAM users.)</p>
+</div></div>
+</li><li id="mrs_01_24377__li78001046145717">For MRS 3.<em id="mrs_01_24377__i33468603022219">x</em> or later, log in to FusionInsight Manager and choose <strong id="mrs_01_24377__b97325408222219">Cluster</strong> &gt; <em id="mrs_01_24377__i195087241422219">Name of the desired cluster</em> &gt; <strong id="mrs_01_24377__b119006642622219">Services</strong> &gt; <strong id="mrs_01_24377__b110956953422219">Kafka</strong>. Click <span class="uicontrol" id="mrs_01_24377__uicontrol19658154134712"><b>Instances</b></span> to query the IP addresses of the Kafka instances.</li></ul>
+</td>
+</tr>
+<tr id="mrs_01_24377__row12948597449"><td class="cellrowborder" valign="top" width="16.521652165216523%" headers="mcps1.3.4.2.2.2.2.4.1.1 "><p id="mrs_01_24377__p99482912447">kafka_topic_list</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.430843084308432%" headers="mcps1.3.4.2.2.2.2.4.1.2 "><p id="mrs_01_24377__p109481790443">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.04750475047504%" headers="mcps1.3.4.2.2.2.2.4.1.3 "><p id="mrs_01_24377__p1294839114416">A list of Kafka topics.</p>
+</td>
+</tr>
+<tr id="mrs_01_24377__row2094819944417"><td class="cellrowborder" valign="top" width="16.521652165216523%" headers="mcps1.3.4.2.2.2.2.4.1.1 "><p id="mrs_01_24377__p169485914410">kafka_group_name</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.430843084308432%" headers="mcps1.3.4.2.2.2.2.4.1.2 "><p id="mrs_01_24377__p1594815964415">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.04750475047504%" headers="mcps1.3.4.2.2.2.2.4.1.3 "><p id="mrs_01_24377__p1794810912442">A group of Kafka consumers, which can be customized.</p>
+</td>
+</tr>
+<tr id="mrs_01_24377__row83821942144719"><td class="cellrowborder" valign="top" width="16.521652165216523%" headers="mcps1.3.4.2.2.2.2.4.1.1 "><p id="mrs_01_24377__p15801046104718">kafka_format</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.430843084308432%" headers="mcps1.3.4.2.2.2.2.4.1.2 "><p id="mrs_01_24377__p1780112464472">Yes</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.04750475047504%" headers="mcps1.3.4.2.2.2.2.4.1.3 "><p id="mrs_01_24377__p1801194614470">Kafka message format, for example, JSONEachRow, CSV, and XML.</p>
+</td>
+</tr>
+<tr id="mrs_01_24377__row99301914144915"><td class="cellrowborder" valign="top" width="16.521652165216523%" headers="mcps1.3.4.2.2.2.2.4.1.1 "><p id="mrs_01_24377__p99304146497">kafka_row_delimiter</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.430843084308432%" headers="mcps1.3.4.2.2.2.2.4.1.2 "><p id="mrs_01_24377__p1293001434910">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.04750475047504%" headers="mcps1.3.4.2.2.2.2.4.1.3 "><p id="mrs_01_24377__p139301414174916">Delimiter character, which ends a message.</p>
+</td>
+</tr>
+<tr id="mrs_01_24377__row831683944914"><td class="cellrowborder" valign="top" width="16.521652165216523%" headers="mcps1.3.4.2.2.2.2.4.1.1 "><p id="mrs_01_24377__p183161739124914">kafka_schema</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.430843084308432%" headers="mcps1.3.4.2.2.2.2.4.1.2 "><p id="mrs_01_24377__p7316123914498">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.04750475047504%" headers="mcps1.3.4.2.2.2.2.4.1.3 "><p id="mrs_01_24377__p631619398493">Parameter that must be used if the format requires a schema definition.</p>
+</td>
+</tr>
+<tr id="mrs_01_24377__row2994740501"><td class="cellrowborder" valign="top" width="16.521652165216523%" headers="mcps1.3.4.2.2.2.2.4.1.1 "><p id="mrs_01_24377__p179940485012">kafka_num_consumers</p>
+</td>
+<td class="cellrowborder" valign="top" width="8.430843084308432%" headers="mcps1.3.4.2.2.2.2.4.1.2 "><p id="mrs_01_24377__p1399417415504">No</p>
+</td>
+<td class="cellrowborder" valign="top" width="75.04750475047504%" headers="mcps1.3.4.2.2.2.2.4.1.3 "><p id="mrs_01_24377__p149947475015">Number of consumers in per table. The default value is <strong id="mrs_01_24377__b14817141145312">1</strong>. If the throughput of a consumer is insufficient, more consumers are required. The total number of consumers cannot exceed the number of partitions in a topic because only one consumer can be allocated to each partition.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</li></ul>
+</div>
+<div class="section" id="mrs_01_24377__section095512317568"><h4 class="sectiontitle">How to Synchronize Kafka Data to ClickHouse</h4><ol id="mrs_01_24377__ol5883183613568"><li id="mrs_01_24377__li58847364569"><a name="mrs_01_24377__li58847364569"></a><a name="li58847364569"></a><span>Switch to the Kafka client installation directory. For details, see <a href="mrs_01_1767.html">Using the Kafka Client</a>.</span><p><ol type="a" id="mrs_01_24377__ol159296281012"><li id="mrs_01_24377__lac0304168b134dbf966709a6ce549e7d">Log in to the node where the Kafka client is installed as the Kafka client installation user.</li><li id="mrs_01_24377__l9c0d2dbdcb7d41eab895a9f75b9a02b2">Run the following command to go to the client installation directory:<p id="mrs_01_24377__a96ae52efde9642948f638441a036c79a"><a name="mrs_01_24377__l9c0d2dbdcb7d41eab895a9f75b9a02b2"></a><a name="l9c0d2dbdcb7d41eab895a9f75b9a02b2"></a><strong id="mrs_01_24377__a50193f1676c741a5ae432c55250667d6">cd /opt/client</strong></p>
+</li><li id="mrs_01_24377__l02709ddfb0a744f9ab239374e40a3e8b">Run the following command to configure environment variables:<p id="mrs_01_24377__a7060369a3f304b7890e4afb33f3e22ee"><a name="mrs_01_24377__l02709ddfb0a744f9ab239374e40a3e8b"></a><a name="l02709ddfb0a744f9ab239374e40a3e8b"></a><strong id="mrs_01_24377__addfe02b6a608430294a07fc537cc9c53">source bigdata_env</strong></p>
+</li><li id="mrs_01_24377__ldb284e6385c84600ad3f1461ac3c91af">If Kerberos authentication is enabled for the current cluster, run the following command to authenticate the current user. If Kerberos authentication is disabled for the current cluster, skip this step.<ol class="substepthirdol" id="mrs_01_24377__ol1161741492317"><li id="mrs_01_24377__li19489192617252">Run the following command first for an MRS 3.1.0 cluster:<p id="mrs_01_24377__p2435102717257"><a name="mrs_01_24377__li19489192617252"></a><a name="li19489192617252"></a><strong id="mrs_01_24377__b5766124418552">export  CLICKHOUSE_SECURITY_ENABLED=true</strong></p>
+</li><li id="mrs_01_24377__li10131141216232"><strong id="mrs_01_24377__b142671951243">kinit</strong> <em id="mrs_01_24377__i1826715562410">Component service user</em></li></ol>
+</li></ol>
+</p></li><li id="mrs_01_24377__li133267241488"><a name="mrs_01_24377__li133267241488"></a><a name="li133267241488"></a><span>Run the following command to create a Kafka topic. For details, see <a href="mrs_01_0376.html">Managing Kafka Topics</a>.</span><p><p id="mrs_01_24377__p14145172115102"><strong id="mrs_01_24377__b6144122111019">kafka-topics.sh --topic </strong><em id="mrs_01_24377__i1614410219104">kafkacktest2</em><strong id="mrs_01_24377__b1640218458180"> --create --zookeeper </strong><em id="mrs_01_24377__i187181045141814">IP address of the Zookeeper role instance:2181</em><strong id="mrs_01_24377__b69221579182">/kafka --partitions </strong><em id="mrs_01_24377__i815065821813">2</em><strong id="mrs_01_24377__b2544151918"> --replication-factor </strong><em id="mrs_01_24377__i1829915119197">1</em></p>
+<div class="note" id="mrs_01_24377__note89954191169"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_24377__ul11980747191617"><li id="mrs_01_24377__li1398016476167"><strong id="mrs_01_24377__b260521084220">--topic</strong> is the name of the topic to be created, for example, <strong id="mrs_01_24377__b14380195504211">kafkacktest2</strong>.</li><li id="mrs_01_24377__li185131253175"><strong id="mrs_01_24377__b1825292964314">--zookeeper</strong> is the IP address of the node where the ZooKeeper role instances are located, which can be the IP address of any of the three role instances. You can obtain the IP address of the node by performing the following steps:<ul id="mrs_01_24377__ul13909139407"><li id="mrs_01_24377__li79081534404">For versions earlier than MRS 3.x, click the cluster name to go to the cluster details page and choose <strong id="mrs_01_24377__b67635755122219">Components</strong> &gt; <strong id="mrs_01_24377__b124864935322219">ZooKeeper</strong> &gt; <strong id="mrs_01_24377__b132541076422219">Instances</strong>. View the IP addresses of the ZooKeeper role instances.</li><li id="mrs_01_24377__li1490812317405">For MRS 3.<em id="mrs_01_24377__i89808883122219">x</em> or later, log in to FusionInsight Manager. For details, see <a href="mrs_01_2124.html">Accessing FusionInsight Manager (MRS 3.x or Later)</a>. Choose <strong id="mrs_01_24377__b98596100822219">Cluster</strong> &gt; <em id="mrs_01_24377__i158112505722219">Name of the desired cluster</em> &gt; <strong id="mrs_01_24377__b153309818622219">Services</strong> &gt; <strong id="mrs_01_24377__b52908588422219">ZooKeeper</strong> &gt; <strong id="mrs_01_24377__b2951614322219">Instance</strong>. View the IP addresses of the ZooKeeper role instances.</li></ul>
+</li><li id="mrs_01_24377__li72141727171916"><strong id="mrs_01_24377__b5287203618193">--partitions</strong> and <strong id="mrs_01_24377__b0772194210196">--replication-factor</strong> are the topic partitions and topic backup replicas, respectively. The number of the two parameters cannot exceed the number of Kafka role instances.</li></ul>
+</div></div>
+</p></li><li id="mrs_01_24377__li64680261586"><a name="mrs_01_24377__li64680261586"></a><a name="li64680261586"></a><span>Log in to the ClickHouse client by referring to <a href="mrs_01_2345.html">Using ClickHouse from Scratch</a>.</span><p><ol type="a" id="mrs_01_24377__ol169281813713"><li id="mrs_01_24377__li4269903251">Run the following command to go to the client installation directory:<p id="mrs_01_24377__p1526916017259"><a name="mrs_01_24377__li4269903251"></a><a name="li4269903251"></a><strong id="mrs_01_24377__b426990122515">cd /opt/Bigdata/client</strong></p>
+</li><li id="mrs_01_24377__li172699012517">Run the following command to configure environment variables:<p id="mrs_01_24377__p172694017259"><a name="mrs_01_24377__li172699012517"></a><a name="li172699012517"></a><strong id="mrs_01_24377__b16269180122520">source bigdata_env</strong></p>
+</li><li id="mrs_01_24377__li1910333418475">If Kerberos authentication is enabled for the current cluster, run the following command to authenticate the current user. The user must have the permission to create ClickHouse tables. Therefore, you need to bind the corresponding role to the user. For details, see <a href="mrs_01_24057.html">ClickHouse User and Permission Management</a>. If Kerberos authentication is disabled for the current cluster, skip this step.<p id="mrs_01_24377__p137512579492"><strong id="mrs_01_24377__b1520521045010">kinit</strong> <em id="mrs_01_24377__i1133611425013">Component service user</em></p>
+<p id="mrs_01_24377__p77201452184920">Example: <strong id="mrs_01_24377__b61553404501">kinit clickhouseuser</strong></p>
+</li><li id="mrs_01_24377__li1938193031911">Run the following command to connect to the ClickHouse instance node to which data is to be imported:<p id="mrs_01_24377__p1066265819518"><a name="mrs_01_24377__li1938193031911"></a><a name="li1938193031911"></a><strong id="mrs_01_24377__b466212582052">clickhouse client --host </strong><em id="mrs_01_24377__i66627583513">IP address of the ClickHouse instance</em><strong id="mrs_01_24377__b12662258353"> --user </strong><em id="mrs_01_24377__i266214581350">Login username</em><strong id="mrs_01_24377__b106624581951"> --password </strong><strong id="mrs_01_24377__b966214581852">--port </strong><em id="mrs_01_24377__i7662125816516">ClickHouse port number</em> <strong id="mrs_01_24377__b66622581658">--database</strong> <em id="mrs_01_24377__i2662175812517">Database name</em> <strong id="mrs_01_24377__b1266265812518">--multiline</strong></p>
+<p id="mrs_01_24377__p11709323124611"><em id="mrs_01_24377__i125721854115615">Enter the user password.</em></p>
+</li></ol>
+</p></li><li id="mrs_01_24377__li77157332408"><span>Create a Kafka table in ClickHouse by referring to <a href="#mrs_01_24377__section10908164973416">Syntax of the Kafka Table</a>. For example, the following table creation statement is used to create a Kafka table whose name is <strong id="mrs_01_24377__b97701039175618">kafka_src_tbl3</strong>, topic name is <strong id="mrs_01_24377__b198341844175616">kafkacktest2</strong>, and message format is <strong id="mrs_01_24377__b453215017561">JSONEachRow</strong> in the default database.</span><p><pre class="screen" id="mrs_01_24377__screen13811826467">create table kafka_src_tbl3 on cluster default_cluster 
+(id UInt32, age UInt32, msg String)  
+ENGINE=Kafka() 
+SETTINGS 
+ kafka_broker_list='<em id="mrs_01_24377__i11652845114716">IP address 1 of the Kafka broker instance</em>:<strong id="mrs_01_24377__b2652164515471">9092</strong>,<em id="mrs_01_24377__i11653124517473">IP address 2 of the Kafka broker instance</em>:<strong id="mrs_01_24377__b176538451472">9092</strong>,<em id="mrs_01_24377__i1765334544711">IP address 3 of the Kafka broker instance</em>:<strong id="mrs_01_24377__b13654154514719">9092</strong>',
+ kafka_topic_list='kafkacktest2',
+ kafka_group_name='cg12',
+ kafka_format='JSONEachRow';</pre>
+</p></li><li id="mrs_01_24377__li48111221462"><span>Create a ClickHouse replicated table, for example, the ReplicatedMergeTree table named <strong id="mrs_01_24377__b12361815135918">kafka_dest_tbl3</strong>.</span><p><pre class="screen" id="mrs_01_24377__screen16529191124819">create table kafka_dest_tbl3 on cluster default_cluster 
+( id UInt32, age UInt32, msg String )
+engine = ReplicatedMergeTree('/clickhouse/tables/{shard}/default/kafka_dest_tbl3', '{replica}')
+partition by age 
+order by id;</pre>
+</p></li><li id="mrs_01_24377__li205294154818"><span>Create a materialized view, which converts data in Kafka in the background and saves the data to the created ClickHouse table.</span><p><pre class="screen" id="mrs_01_24377__screen1497854885117">create materialized view consumer3 on cluster default_cluster to kafka_dest_tbl3 as select * from kafka_src_tbl3;</pre>
+</p></li><li id="mrs_01_24377__li11978204855116"><span>Perform <a href="#mrs_01_24377__li58847364569">1</a> again to go to the Kafka client installation directory.</span></li><li id="mrs_01_24377__li8171337135320"><span>Run the following command to send a message to the topic created in <a href="#mrs_01_24377__li133267241488">2</a>:</span><p><div class="p" id="mrs_01_24377__p16201623155715"><strong id="mrs_01_24377__b1089354123119">kafka-console-producer.sh --broker-list </strong><em id="mrs_01_24377__i290518433117">IP address 1 of the kafka broker instance</em><strong id="mrs_01_24377__b97522893111">:9092,</strong><em id="mrs_01_24377__i107611988314">IP address 2 of the kafka broker instance</em><strong id="mrs_01_24377__b3592717173111">:9092,</strong><em id="mrs_01_24377__i660119178319">IP address 3 of the kafka broker instance</em><strong id="mrs_01_24377__b18592917133110">:9092 </strong><strong id="mrs_01_24377__b13620823175713"> --topic </strong><em id="mrs_01_24377__i19620223125719">kafkacktest2</em><pre class="screen" id="mrs_01_24377__screen1662020234579">&gt;{"id":31, "age":30, "msg":"31 years old"}
+&gt;{"id":32, "age":30, "msg":"31 years old"}
+&gt;{"id":33, "age":30, "msg":"31 years old"}
+&gt;{"id":35, "age":30, "msg":"31 years old"}</pre>
+</div>
+</p></li><li id="mrs_01_24377__li86201623175710"><span>Use the ClickHouse client to log in to the ClickHouse instance node in <a href="#mrs_01_24377__li64680261586">3</a> and query the ClickHouse table data, for example, to query the replicated table <strong id="mrs_01_24377__b79981226431">kafka_dest_tbl3</strong>. It shows that the data in the Kafka message has been synchronized to this table.</span><p><pre class="screen" id="mrs_01_24377__screen107761243509">select * from kafka_dest_tbl3;</pre>
+<p id="mrs_01_24377__p14529540172510"><span><img id="mrs_01_24377__image11284041182517" src="en-us_image_0000001437950709.png"></span></p>
+</p></li></ol>
+</div>
+<p id="mrs_01_24377__p8060118"></p>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24250.html">Migrating ClickHouse Data</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24453.html b/docs/mrs/component-operation-guide/mrs_01_24453.html
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+<a name="mrs_01_24453"></a><a name="mrs_01_24453"></a>
+
+
+  <h1 class="topictitle1">Using Sqoop</h1>
+
+  <div id="body1595845458238"><p id="mrs_01_24453__p8060118"></p>
+</div>
+
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_24454.html">Using Sqoop from Scratch</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24455.html">Adapting Sqoop 1.4.7 to MRS 3.x Clusters</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24456.html">Common Sqoop Commands and Parameters</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24457.html">Common Issues About Sqoop</a></strong><br>
+</li>
+</ul>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24454.html b/docs/mrs/component-operation-guide/mrs_01_24454.html
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@@ -0,0 +1,218 @@
+<a name="mrs_01_24454"></a><a name="mrs_01_24454"></a>
+
+<h1 class="topictitle1">Using Sqoop from Scratch</h1>
+<div id="body1595845458238"><p id="mrs_01_24454__p271318616124">Sqoop is an open-source tool for transferring data between Hadoop (Hive) and traditional databases (such as MySQL and PostgreSQL). It can transfer data from a relational database (such as MySQL, Oracle, and PostgreSQL) to HDFS of Hadoop and the other way around.</p>
+<div class="section" id="mrs_01_24454__section19493164011271"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_24454__ul122727255111"><li id="mrs_01_24454__li119023261116">You have selected the Sqoop component when creating a cluster of MRS 3.1.0 or later.</li><li id="mrs_01_24454__li827212259113">You have installed the client. For details, see <a href="mrs_01_2127.html">Installing a Client (Version 3.x or Later)</a>. For example, the installation directory of the client is <strong id="mrs_01_24454__b1650068707114941">/opt/client</strong>. The client directory in the following operations is an example. Change it to the actual installation directory.</li></ul>
+</div>
+<div class="section" id="mrs_01_24454__section4468434234"><h4 class="sectiontitle">Exporting Data From HDFS to MySQL Using the <strong id="mrs_01_24454__b1286145454">sqoop export</strong> Command</h4><ol id="mrs_01_24454__ol91839444238"><li id="mrs_01_24454__li99217282412"><span>Log in to the node where the client is located.</span></li><li id="mrs_01_24454__li109168252241"><span>Run the following command to initialize environment variables:</span><p><p id="mrs_01_24454__p19654172612410"><strong id="mrs_01_24454__b551203313258">source /opt/client/bigdata_env</strong></p>
+</p></li><li id="mrs_01_24454__li115201937182512"><span>Run the following command to operate the Sqoop client:</span><p><p id="mrs_01_24454__p17304549263"><strong id="mrs_01_24454__b0461131782610">sqoop export --connect jdbc:mysql://10.100.231.134:3306/test --username root --password xxxxxx --table component13 -export-dir  hdfs://hacluster/user/hive/warehouse/component_test3 --fields-terminated-by ',' -m 1</strong></p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24454__table1935416343262" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_24454__row63546345263"><th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.3.2.3.2.2.2.3.1.1"><p id="mrs_01_24454__p10355193412269">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="70%" id="mcps1.3.3.2.3.2.2.2.3.1.2"><p id="mrs_01_24454__p935514341262">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24454__row33551345265"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.3.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p13554346261">-direct</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.3.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p235583482615">Imports data to a relational database using a database import tool, for example, mysqlimport of MySQL, more efficient than the JDBC connection mode.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row435553402612"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.3.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p235510345260">-export-dir &lt;dir&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.3.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p035512342267">Specifies the source directory for storing data in the HDFS.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row764065102911"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.3.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p20640251295">-m or -num-mappers &lt;n&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.3.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p1364118582912">Starts <em id="mrs_01_24454__i2506865318">n</em> (4 by default) maps to import data concurrently. The value cannot be greater than the maximum number of maps in a cluster.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row483935202916"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.3.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p198391156297">-table &lt;table-name&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.3.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p1583915132915">Specifies the relational database table to be imported.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row83619615290"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.3.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p13361563297">-update-key &lt;col-name&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.3.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p153612620294">Specifies the column used for updating the existing data in a relational database.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row9925201310329"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.3.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p1292501316321">-update-mode &lt;mode&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.3.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p7925151310325">Specifies how updates are performed. The value can be <strong id="mrs_01_24454__b134135133185">updateonly</strong> or <strong id="mrs_01_24454__b176516141816">allowinsert</strong>. This parameter is used only when the relational data table does not contain the data record to be imported. For example, if the HDFS data to be imported to the destination table contains a data record <strong id="mrs_01_24454__b1137714842119">id=1</strong> and the table contains an existing data record <strong id="mrs_01_24454__b85981133192215">id=2</strong>, the update will fail.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row1142121423214"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.3.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p20142161412328">-input-null-string &lt;null-string&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.3.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p3142151417320">This parameter is optional. If it is not specified, <strong id="mrs_01_24454__b19657385274">null</strong> will be used.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row1753451418320"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.3.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p1553481413214">-input-null-non-string &lt;null-string&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.3.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p1349161103316">This parameter is optional. If it is not specified, <strong id="mrs_01_24454__b16696194818274">null</strong> will be used.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row22072218339"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.3.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p62076213334">-staging-table &lt;staging-table-name&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.3.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p1425543111392">Creates a table with the same data structure as the destination table for storing data before it is imported to the destination table.</p>
+<p id="mrs_01_24454__p14519132453513">This parameter ensures the transaction security when data is imported to a relational database table. Due to multiple transactions during an import, this parameter can prevent other transactions from being affected when one transaction fails. For example, the imported data is incorrect or duplicate records exist.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row119891622173318"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.3.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p119894223336">-clear-staging-table</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.3.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p298962233319">Clears data in the staging table before data is imported if the staging-table is not empty.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_24454__section1294043815363"><h4 class="sectiontitle">Importing Data from MySQL to Hive Using the sqoop import Command</h4><ol id="mrs_01_24454__ol10810181011370"><li id="mrs_01_24454__li15810710153715"><span>Log in to the node where the client is located.</span></li><li id="mrs_01_24454__li881091012370"><span>Run the following command to initialize environment variables:</span><p><p id="mrs_01_24454__p158101410103712"><strong id="mrs_01_24454__b198105107372">source /opt/client/bigdata_env</strong></p>
+</p></li><li id="mrs_01_24454__li158105103373"><span>Run the following command to operate the Sqoop client:</span><p><p id="mrs_01_24454__p4950225153718"><strong id="mrs_01_24454__b49641330143715">sqoop import --connect jdbc:mysql://10.100.231.134:3306/test --username root --password xxxxxx --table component  --hive-import --hive-table component_test2  --delete-target-dir --fields-terminated-by "," -m 1 --as-textfile</strong></p>
+
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24454__table69791040193719" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Parameter description</caption><thead align="left"><tr id="mrs_01_24454__row1980040193716"><th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.4.2.3.2.2.2.3.1.1"><p id="mrs_01_24454__p5980144017379">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="70%" id="mcps1.3.4.2.3.2.2.2.3.1.2"><p id="mrs_01_24454__p3980154013720">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24454__row2980240113717"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p115245103719">-append</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.4.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p162164511370">Appends data to an existing dataset in the HDFS. Once this parameter is used, Sqoop imports data to a temporary directory, renames the temporary file where the data is stored, and moves the file to a formal directory to avoid duplicate file names in the directory.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row17854184723710"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p28558479378">-as-avrodatafile</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.4.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p1285512472374">Imports data to a data file in the Avro format.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row1465104815379"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p965144816375">-as-sequencefile</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.4.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p1651748163715">Imports data to a sequence file.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row1926104817377"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p5261174883713">-as-textfile</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.4.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p14261174863718">Import data to a text file. After the text file is generated, you can run SQL statements in Hive to query the result.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row54531448193713"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p445310485374">-boundary-query &lt;statement&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.4.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p1787412258308">Specifies the SQL statement for performing boundary query. Before importing data, use a SQL statement to obtain a result set and import the data in the result set. The data format can be <strong id="mrs_01_24454__b1887442523014">-boundary-query  'select id,creationdate from person where id = 3'</strong> (indicating a data record whose ID is 3) or <strong id="mrs_01_24454__b19874625103010">select min(&lt;split-by&gt;), max(&lt;split-by&gt;) from &lt;table name&gt;</strong>.</p>
+<p id="mrs_01_24454__p851112455405">The fields to be queried cannot contain fields whose data type is string. Otherwise, the error message "java.sql.SQLException: Invalid value for getLong()" is displayed.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row2030893319405"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p4308173316407">-columns&lt;col,col,col...&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.4.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p1830813337408">Specifies the fields to be imported. The format is <strong id="mrs_01_24454__b9809125811152"><em id="mrs_01_24454__i69701084166">-Column id</em>,<em id="mrs_01_24454__i15228141321616">Username</em></strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row1495163314010"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p1049573354014">-direct</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.4.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p4495133144019">Imports data to a relational database using a database import tool, for example, mysqlimport of MySQL, more efficient than the JDBC connection mode.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row969343354012"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p2693333124019">-direct-split-size</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.4.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p13693113313406">Splits the imported streams by byte. Especially when data is imported from PostgreSQL using the direct mode, a file that reaches the specified size can be divided into several independent files.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row1188033394014"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p588083324019">-inline-lob-limit</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.4.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p818317333419">Sets the maximum value of an inline LOB.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row55323484012"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p1153113417408">-m or -num-mappers</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.4.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p65414317419">Starts <em id="mrs_01_24454__i39191538105314">n</em> (4 by default) maps to import data concurrently. The value cannot be greater than the maximum number of maps in a cluster.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row92281434114011"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p18228103494017">-query, -e&lt;statement&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.4.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p2615165853314">Imports data from the query result. To use this parameter, you must specify the <strong id="mrs_01_24454__b1048319459210">-target-dir</strong> and <strong id="mrs_01_24454__b2666154810214">-hive-table</strong> parameters and use the query statement containing the WHERE clause as well as $CONDITIONS.</p>
+<p id="mrs_01_24454__p171631111428">Example: <strong id="mrs_01_24454__b47011342515">-query'select * from person where $CONDITIONS' -target-dir /user/hive/warehouse/person -hive-table person</strong></p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row9695323428"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p156954254220">-split-by&lt;column-name&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.4.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p11696622420">Specifies the column of a table used to split work units. Generally, the column name is followed by the primary key ID.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row48921429421"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p78927274210">-table &lt;table-name&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.4.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p11538925144217">Specifies the relational database table from which data is obtained.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row198115314429"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p98253174214">-target-dir &lt;dir&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.4.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p08216364215">Specifies the HDFS path.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row102567344216"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p1225612317423">-warehouse-dir &lt;dir&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.4.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p1925623104212">Specifies the directory for storing data to be imported. This parameter is applicable when data is imported to HDFS but cannot be used when you import data to Hive directories. This parameter cannot be used together with <strong id="mrs_01_24454__b1843693523015">-target-dir</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row154084364217"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p1440814313426">-where</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.4.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p61971518435">Specifies the WHERE clause when data is imported from a relational database, for example, <strong id="mrs_01_24454__b1920493133218">-where 'id = 2'</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row29405142439"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p8940121416436">-z,-compress</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.4.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p189405148437">Compresses sequence, text, and Avro data files using the GZIP compression algorithm. Data is not compressed by default.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row6171121518436"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p12171111544313">–compression-codec</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.4.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p01714159438">Specifies the Hadoop compression codec. GZIP is used by default.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row938818155432"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p6388171513431">–null-string &lt;null-string&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.4.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p978615331812">Specifies the string to be interpreted as <strong id="mrs_01_24454__b3294140144212">NULL</strong> for string columns.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row1062914408437"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p1562944018439">–null-non-string&lt;null-string&gt;</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.4.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p05571122921">Specifies the string to be interpreted as null for non-string columns. If this parameter is not specified, <strong id="mrs_01_24454__b098114164216">NULL</strong> will be used.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row263271034413"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p1633131074411">-check-column (col)</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.4.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p14633141019442">Specifies the column for checking incremental data import, for example, <strong id="mrs_01_24454__b20147142094015">id</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row168371910204411"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p1533542174115">-incremental (mode) append</p>
+<p id="mrs_01_24454__p8837510154413">or last modified</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.4.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p37993124218">Incrementally imports data.</p>
+<p id="mrs_01_24454__p1685417545416"><strong id="mrs_01_24454__b250795563818">append</strong>: appends records, for example, appending records that are greater than the value specified by <strong id="mrs_01_24454__b33662228397">last-value</strong>.</p>
+<p id="mrs_01_24454__p683741014416"><strong id="mrs_01_24454__b3997226104015">lastmodified</strong>: appends data that is modified after the date specified by <strong id="mrs_01_24454__b1539641754114">last-value</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_24454__row71091341194419"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.4.2.3.2.2.2.3.1.1 "><p id="mrs_01_24454__p18109641154414">-last-value (value)</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.4.2.3.2.2.2.3.1.2 "><p id="mrs_01_24454__p10982452164414">Specifies the maximum value (greater than the specified value) of the column after the last import. This parameter can be set as required.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li></ol>
+</div>
+<div class="section" id="mrs_01_24454__section5349195324212"><h4 class="sectiontitle">Sqoop Usage Example</h4><ul id="mrs_01_24454__ul14935173594412"><li id="mrs_01_24454__li293513357442">Importing data from MySQL to HDFS using the <strong id="mrs_01_24454__b19405195615114">sqoop import</strong> command<p id="mrs_01_24454__p83041613439"><strong id="mrs_01_24454__b1148394884115">sqoop import --connect jdbc:mysql://10.100.231.134:3306/test --username root --password </strong><em id="mrs_01_24454__i12486144819419">xxx</em><strong id="mrs_01_24454__b748454844111"> --query 'SELECT * FROM component where $CONDITIONS and component_id ="MRS 1.0_002"'  --target-dir /tmp/component_test --delete-target-dir --fields-terminated-by "," -m 1 --as-textfile</strong></p>
+</li><li id="mrs_01_24454__li593514356442">Exporting data from OBS to MySQL using the <strong id="mrs_01_24454__b148119251325">sqoop export</strong> command<p id="mrs_01_24454__p73865459438"><strong id="mrs_01_24454__b1254517105422">sqoop export --connect jdbc:mysql://10.100.231.134:3306/test --username root --password </strong><em id="mrs_01_24454__i254831014211">xxx</em><strong id="mrs_01_24454__b15462102428">  --table component14  -export-dir obs://obs-file-bucket/xx/part-m-00000 --fields-terminated-by ',' -m 1</strong></p>
+</li><li id="mrs_01_24454__li79351835114414">Importing data from MySQL to OBS using the <strong id="mrs_01_24454__b18921031222">sqoop import</strong> command<p id="mrs_01_24454__p157011889444"><strong id="mrs_01_24454__b10967286428">sqoop import --connect jdbc:mysql://10.100.231.134:3306/test --username root --password </strong><em id="mrs_01_24454__i48701228114214">xxx</em><strong id="mrs_01_24454__b139672816424"> --table component  --target-dir obs://obs-file-bucket/xx --delete-target-dir --fields-terminated-by "," -m 1 --as-textfile</strong></p>
+</li><li id="mrs_01_24454__li99351735164416">Importing data from MySQL to OBS tables outside Hive<p id="mrs_01_24454__p27018854413"><a name="mrs_01_24454__li99351735164416"></a><a name="li99351735164416"></a><strong id="mrs_01_24454__b04262474424">sqoop import --connect jdbc:mysql://10.100.231.134:3306/test --username root --password </strong><em id="mrs_01_24454__i1818944812427">xxx</em><strong id="mrs_01_24454__b12426174724215"> --table component  --hive-import --hive-table component_test01 --fields-terminated-by "," -m 1 --as-textfile</strong></p>
+</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24453.html">Using Sqoop</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_24455"></a><a name="mrs_01_24455"></a>
+
+<h1 class="topictitle1">Adapting Sqoop 1.4.7 to MRS 3.<em id="i5518260455">x</em> Clusters</h1>
+<div id="body1595845458238"><p id="mrs_01_24455__p1541519517217">Sqoop is a tool designed for efficiently transmitting a large amount of data between Apache Hadoop and structured databases (such as relational databases). Customers need to use Sqoop to migrate data in MRS. However, MRS of an earlier version does not provide Sqoop. This section describes how to install and use Sqoop. In MRS 3.1.0 or later, you can select the Sqoop component during cluster creation.</p>
+<div class="section" id="mrs_01_24455__section92229114613"><h4 class="sectiontitle">Prerequisites</h4><p id="mrs_01_24455__p17339644124415">The MRS client and the JDK environment have been installed.</p>
+<p id="mrs_01_24455__p946241869"><span><img id="mrs_01_24455__image0562185233920" src="en-us_image_0000001295930368.png"></span></p>
+</div>
+<div class="section" id="mrs_01_24455__section66586351184"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_24455__ol189108491818"><li id="mrs_01_24455__li69105491988"><span><a href="http://archive.apache.org/dist/sqoop/1.4.7/" target="_blank" rel="noopener noreferrer">Download</a> the open-source <strong id="mrs_01_24455__b178415368508">sqoop-1.4.7.bin__hadoop-2.6.0.tar.gz</strong> package.</span></li><li id="mrs_01_24455__li13478210243"><span>Save the downloaded package to the <strong id="mrs_01_24455__b129236595516">/opt/Bigdata/client</strong> directory on the node where the MRS client is installed and decompress it.</span><p><p id="mrs_01_24455__p92511716101617"><strong id="mrs_01_24455__b181431912168">tar zxvf sqoop-1.4.7.bin__hadoop-2.6.0.tar.gz</strong></p>
+</p></li><li id="mrs_01_24455__l945d89eadc024485b6c0bd53e78cfce4"><span>Download the MySQL JDBC driver <strong id="mrs_01_24455__b1061018285313">mysql-connector-java-<em id="mrs_01_24455__i19820144105316">xxx</em>.jar</strong> from the MySQL official website. For details about how to select the MySQL JDBC driver, see the following table.</span><p>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24455__table13581236105614" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Version information</caption><thead align="left"><tr id="mrs_01_24455__row1335812363567"><th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.3.2.3.2.1.2.3.1.1"><p id="mrs_01_24455__p1735833618565">JDBC Driver Version</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.3.2.3.2.1.2.3.1.2"><p id="mrs_01_24455__p123587364565">MySQL Version</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24455__row535816362569"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.3.2.1.2.3.1.1 "><p id="mrs_01_24455__p113584368569">Connector/J 5.1</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.3.2.1.2.3.1.2 "><p id="mrs_01_24455__p13581136125613">MySQL 4.1, MySQL 5.0, MySQL 5.1, and MySQL 6.0 alpha</p>
+</td>
+</tr>
+<tr id="mrs_01_24455__row1835853615561"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.3.2.1.2.3.1.1 "><p id="mrs_01_24455__p1935873620566">Connector/J 5.0</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.3.2.1.2.3.1.2 "><p id="mrs_01_24455__p9359436145613">MySQL 4.1, MySQL 5.0 servers, and distributed transaction (XA)</p>
+</td>
+</tr>
+<tr id="mrs_01_24455__row135914365569"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.3.2.1.2.3.1.1 "><p id="mrs_01_24455__p1359736155615">Connector/J 3.1</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.3.2.1.2.3.1.2 "><p id="mrs_01_24455__p8359123635614">MySQL 4.1, MySQL 5.0 servers, and MySQL 5.0 except distributed transaction (XA)</p>
+</td>
+</tr>
+<tr id="mrs_01_24455__row135953655619"><td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.3.2.1.2.3.1.1 "><p id="mrs_01_24455__p635915367566">Connector/J 3.0</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.3.2.3.2.1.2.3.1.2 "><p id="mrs_01_24455__p83591036155610">MySQL 3.x and MySQL 4.1</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</p></li><li id="mrs_01_24455__li18231050111210"><span>Put the MySQL driver package in the <strong id="mrs_01_24455__b1758434413491">/opt/Bigdata/client/sqoop-1.4.7.bin__hadoop-2.6.0/lib</strong> directory of Sqoop and modify the owner group and permission of the JAR package. For details, see the owner group and permission of <strong id="mrs_01_24455__b1419017405557">omm:wheel</strong> and <strong id="mrs_01_24455__b567954320557">755</strong> in <a href="#mrs_01_24455__fig71925061212">Figure 1</a>.</span><p><div class="fignone" id="mrs_01_24455__fig71925061212"><a name="mrs_01_24455__fig71925061212"></a><a name="fig71925061212"></a><span class="figcap"><b>Figure 1 </b>Owner group and permission of the MySQL driver package</span><br><span><img id="mrs_01_24455__image1542355219111" src="en-us_image_0000001295770408.png"></span></div>
+</p></li><li id="mrs_01_24455__li682643102817"><span>Replace the JAR package in the <strong id="mrs_01_24455__b79151012195710">lib</strong> directory of Sqoop with that starting with <strong id="mrs_01_24455__b168162713572">jackson</strong> in the <strong id="mrs_01_24455__b14445029105714">lib</strong> directory of Hive on the MRS client, for example, <strong id="mrs_01_24455__b2310948165717">/opt/Bigdata/client/Hive/Beeline/lib</strong>.</span><p><div class="fignone" id="mrs_01_24455__fig55818155143"><span class="figcap"><b>Figure 2 </b>JAR package starting with <strong id="mrs_01_24455__b84751910586">jackson</strong></span><br><span><img id="mrs_01_24455__image98051982142" src="en-us_image_0000001349090041.png"></span></div>
+</p></li><li id="mrs_01_24455__li0711195781317"><span>Copy the <strong id="mrs_01_24455__b9182122455817">jline</strong> package from the <strong id="mrs_01_24455__b2438174275813">/opt/Bigdata/client/Hive/Beeline/lib</strong> directory of the MRS Hive client to the <strong id="mrs_01_24455__b12471185935818">lib</strong> directory of Sqoop.</span></li><li id="mrs_01_24455__li2748618156"><span>Run the <strong id="mrs_01_24455__b1034311915914">vim $JAVA_HOME/jre/lib/security/java.policy</strong> command to add the following configuration:</span><p><p id="mrs_01_24455__p186668151610"><strong id="mrs_01_24455__b937987161617">permission javax.management.MBeanTrustPermission "register";</strong></p>
+</p></li><li id="mrs_01_24455__li98574221617"><span>Run the following commands to go to the <strong id="mrs_01_24455__b71011400595">conf</strong> directory of the Sqoop and add the configuration items of variables:</span><p><p id="mrs_01_24455__p153971217122412"><strong id="mrs_01_24455__b1392911287167">cd /opt/Bigdata/client/sqoop-1.4.7.bin__hadoop-2.6.0/conf</strong></p>
+<p id="mrs_01_24455__p155913475169"><strong id="mrs_01_24455__b13637751111613">cp sqoop-env-template.sh sqoop-env.sh</strong></p>
+</p></li><li id="mrs_01_24455__li10791351161718"><span>Run the <strong id="mrs_01_24455__b1830914198171">vim sqoop-env.sh</strong> command to set the environment variables of Sqoop. Change the Hadoop and Hive directories as required.</span><p><pre class="screen" id="mrs_01_24455__screen177355584587">export HADOOP_COMMON_HOME=/opt/Bigdata/client/HDFS/hadoop
+export HADOOP_MAPRED_HOME=/opt/Bigdata/client/HDFS/hadoop
+export HIVE_HOME=/opt/Bigdata/MRS_1.9.X/install/FusionInsight-Hive-<em id="mrs_01_24455__i1692723512918">3.1.0</em>/hive (Enter the actual path.)
+export HIVE_CONF_DIR=/opt/Bigdata/client/Hive/config
+export HCAT_HOME=/opt/Bigdata/client/Hive/HCatalog</pre>
+<div class="fignone" id="mrs_01_24455__fig236714226810"><span class="figcap"><b>Figure 3 </b>Setting environment variables of Sqoop</span><br><span><img id="mrs_01_24455__image174347612820" src="en-us_image_0000001438712537.png"></span></div>
+</p></li><li id="mrs_01_24455__li363433181719"><span>Build the sqoop script. For example:</span><p><pre class="screen" id="mrs_01_24455__screen5340017131819">/opt/Bigdata/FusionInsight_Current/1_19_SqoopClient/install/FusionInsight-Sqoop-1.4.7/bin/sqoop import 
+--connect jdbc:mysql://192.168.0.183:3306/test 
+--driver com.mysql.jdbc.Driver 
+--username 'root' 
+--password '<em id="mrs_01_24455__i13309113104316">xxx</em>' 
+--query "SELECT id, name  FROM tbtest WHERE \$CONDITIONS" 
+--hcatalog-database default 
+--hcatalog-table test 
+--num-mappers 1</pre>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24453.html">Using Sqoop</a></div>
+</div>
+</div>
+
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+<a name="mrs_01_24456"></a><a name="mrs_01_24456"></a>
+
+<h1 class="topictitle1">Common Sqoop Commands and Parameters</h1>
+<div id="body1595845458239"><div class="section" id="mrs_01_24456__section11239193217156"><h4 class="sectiontitle">Common Sqoop commands</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24456__table16371133020451" frame="border" border="1" rules="all"><caption><b>Table 1 </b>Common Sqoop commands</caption><thead align="left"><tr id="mrs_01_24456__row1437213012452"><th align="left" class="cellrowborder" valign="top" width="30%" id="mcps1.3.1.2.2.3.1.1"><p id="mrs_01_24456__p63721030124519">Command</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="70%" id="mcps1.3.1.2.2.3.1.2"><p id="mrs_01_24456__p2372330144516">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24456__row1837243010459"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.2.3.1.1 "><p id="mrs_01_24456__p1637218301458">import</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.1.2.2.3.1.2 "><p id="mrs_01_24456__p193721630144512">Imports data to a cluster.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row33721130104512"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.2.3.1.1 "><p id="mrs_01_24456__p837253014452">export</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.1.2.2.3.1.2 "><p id="mrs_01_24456__p11372430134519">Exports data of a cluster.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row133728302453"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.2.3.1.1 "><p id="mrs_01_24456__p17372123064517">codegen</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.1.2.2.3.1.2 "><p id="mrs_01_24456__p3372130164519">Obtains data from a table in the database to generate a Java file and compress the file.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row878507470"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.2.3.1.1 "><p id="mrs_01_24456__p19781906479">create-hive-table</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.1.2.2.3.1.2 "><p id="mrs_01_24456__p147816019471">Creates a Hive table.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row152987014479"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.2.3.1.1 "><p id="mrs_01_24456__p1229816017478">eval</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.1.2.2.3.1.2 "><p id="mrs_01_24456__p1829915011473">Executes a SQL statement and view the result.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row7475130164713"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.2.3.1.1 "><p id="mrs_01_24456__p747511012478">import-all-tables</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.1.2.2.3.1.2 "><p id="mrs_01_24456__p1247520144717">Imports all tables in a database to HDFS.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row866915020474"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.2.3.1.1 "><p id="mrs_01_24456__p1666980184716">job</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.1.2.2.3.1.2 "><p id="mrs_01_24456__p126691403479">Generates a Sqoop job.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row1887060184710"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.2.3.1.1 "><p id="mrs_01_24456__p48701705475">list-databases</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.1.2.2.3.1.2 "><p id="mrs_01_24456__p148705012475">Lists database names.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row33717110473"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.2.3.1.1 "><p id="mrs_01_24456__p11370112471">list-tables</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.1.2.2.3.1.2 "><p id="mrs_01_24456__p737310479">List table names.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row182547184713"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.2.3.1.1 "><p id="mrs_01_24456__p1125481174714">merge</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.1.2.2.3.1.2 "><p id="mrs_01_24456__p1925441114712">Merges data in different HDFS directories and saves the data to a specified directory.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row11370349184814"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.2.3.1.1 "><p id="mrs_01_24456__p1537010493487">metastore</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.1.2.2.3.1.2 "><p id="mrs_01_24456__p173701149124812">Starts the metadata database to record the metadata of a Sqoop job.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row158220499485"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.2.3.1.1 "><p id="mrs_01_24456__p18583154974815">help</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.1.2.2.3.1.2 "><p id="mrs_01_24456__p158384914814">Prints help information.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row5411253184813"><td class="cellrowborder" valign="top" width="30%" headers="mcps1.3.1.2.2.3.1.1 "><p id="mrs_01_24456__p6411953134819">version</p>
+</td>
+<td class="cellrowborder" valign="top" width="70%" headers="mcps1.3.1.2.2.3.1.2 "><p id="mrs_01_24456__p19411205318487">Prints the version information.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+<div class="section" id="mrs_01_24456__section36881843131517"><h4 class="sectiontitle">Common Parameters</h4>
+<div class="tablenoborder"><table cellpadding="4" cellspacing="0" summary="" id="mrs_01_24456__table124910480491" frame="border" border="1" rules="all"><caption><b>Table 2 </b>Common parameters</caption><thead align="left"><tr id="mrs_01_24456__row1350174894913"><th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.2.2.2.4.1.1"><p id="mrs_01_24456__p850194884913">Category</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="25%" id="mcps1.3.2.2.2.4.1.2"><p id="mrs_01_24456__p1750748154914">Parameter</p>
+</th>
+<th align="left" class="cellrowborder" valign="top" width="50%" id="mcps1.3.2.2.2.4.1.3"><p id="mrs_01_24456__p1350448174910">Description</p>
+</th>
+</tr>
+</thead>
+<tbody><tr id="mrs_01_24456__row1650448164917"><td class="cellrowborder" rowspan="7" valign="top" width="25%" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p1850248174913">Parameters for database connection</p>
+<p id="mrs_01_24456__p20502489498"></p>
+<p id="mrs_01_24456__p0501148144911"></p>
+<p id="mrs_01_24456__p65016489497"></p>
+<p id="mrs_01_24456__p250174819495"></p>
+<p id="mrs_01_24456__p1650948164915"></p>
+<p id="mrs_01_24456__p3503486492"></p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p13502486498">--connect</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.2.2.2.4.1.3 "><p id="mrs_01_24456__p1650104811497">Specifies the URL for connecting to a relational database.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row45011486498"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p9501348194915">--connection-manager</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p350144819497">Specifies the connection manager class.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row19501485496"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p25064817496">--driver jdbc</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p5506488499">Specifies the driver package for database connection.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row1450134874913"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p165014811494">--help</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p10504486494">Prints help information.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row145004834918"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p135018484493">--password</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p550154820491">Specifies the password for connecting to a database.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row35024864919"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p55024814912">--username</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p1950184844914">Specifies the username for connecting to a database.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row1550124884913"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p18519483499">--verbose</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p1511648144911">Prints detailed information on the console.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row61131930175212"><td class="cellrowborder" rowspan="3" valign="top" width="25%" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p411333011527">import parameters</p>
+<p id="mrs_01_24456__p1330313010524"></p>
+<p id="mrs_01_24456__p95093305521"></p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p1511333035211">--fields-terminated-by</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.2.2.2.4.1.3 "><p id="mrs_01_24456__p61131130175218">Specifies the field delimiter, which must be the same as that in a Hive table or HDFS file.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row1830318303527"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p1330314308526">--lines-terminated-by</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p113031830115216">Specifies the line delimiter, which must be the same as that in a Hive table or HDFS file.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row20509103045216"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p35091830175220">--mysql-delimiters</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p125091530145214">Specifies the default delimiter settings of MySQL.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row272212307529"><td class="cellrowborder" rowspan="2" valign="top" width="25%" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p772323055216">export parameters</p>
+<p id="mrs_01_24456__p1792110305524"></p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p8723123012523">--input-fields-terminated-by</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.2.2.2.4.1.3 "><p id="mrs_01_24456__p1172320306526">Specifies the field delimiter.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row1092193018527"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p1092143017523">--input-lines-terminated-by</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p09211330165211">Specifies the line delimiter.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row161114311520"><td class="cellrowborder" rowspan="13" valign="top" width="25%" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p131118315524">Hive parameters</p>
+<p id="mrs_01_24456__p2064018119544"></p>
+<p id="mrs_01_24456__p13847171165414"></p>
+<p id="mrs_01_24456__p174381218545"></p>
+<p id="mrs_01_24456__p424851217546"></p>
+<p id="mrs_01_24456__p5430512175414"></p>
+<p id="mrs_01_24456__p1960361213543"></p>
+<p id="mrs_01_24456__p3293143119523"></p>
+<p id="mrs_01_24456__p99071118567"></p>
+<p id="mrs_01_24456__p148931219560"></p>
+<p id="mrs_01_24456__p202906123562"></p>
+<p id="mrs_01_24456__p7477151212568"></p>
+<p id="mrs_01_24456__p10644161218560"></p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p911163117520">--hive-delims-replacement</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.2.2.2.4.1.3 "><p id="mrs_01_24456__p121124316528">Replaces characters such as <strong id="mrs_01_24456__b178918547553">\r</strong> and <strong id="mrs_01_24456__b4729900568">\n</strong> in data with user-defined characters.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row1464031114549"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p364091115549">--hive-drop-import-delims</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p464081115416">Removes characters such as <strong id="mrs_01_24456__b765111215571">\r</strong> and <strong id="mrs_01_24456__b16371810135710">\n</strong> when data is imported to Hive.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row684721115411"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p584781112543">--map-column-hive</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p1684717111545">Specifies the data type of fields during the generation of a Hive table.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row1543712175413"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p54311255412">--hive-partition-key</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p1943412165411">Creates a partition.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row1424851212548"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p1124861217546">--hive-partition-value</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p1924851245418">Imports data to a specified partition of a database.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row8430151219541"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p1430171217542">--hive-home</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p11430212125414">Specifies the installation directory for Hive.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row1660316121543"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p11603171219545">--hive-import</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p14603912145414">Specifies that data is imported from a relational database to Hive.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row12293163118521"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p17293123185215">--hive-overwrite</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p9293131115217">Overwrites existing Hive data.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row99073113569"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p129071411155618">--create-hive-table</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p1907811155612">Creates a Hive table. The default value is <strong id="mrs_01_24456__b1251811397314">false</strong>. A destination table will be created if it does not exist.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row689171225615"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p178941213565">--hive-table</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p1189212135615">Specifies a Hive table to which data is to be imported.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row829018127562"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p6290181212565">--table</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p3290121219564">Specifies the relational database table.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row8477201211569"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p124771123561">--columns</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p18477181211563">Specifies the fields of a relational data table to be imported.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row1264412121566"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p186441512155612">--query</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p16644131275611">Specifies the query statement for importing the query result.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row12453143155211"><td class="cellrowborder" rowspan="2" valign="top" width="25%" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p12453153195210">HCatalog parameters</p>
+<p id="mrs_01_24456__p159311416581"></p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p7453163116529">--hcatalog-database</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.2.2.2.4.1.3 "><p id="mrs_01_24456__p18453113155220">Specifies a Hive database and imports data to it using HCatalog.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row1459316415818"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p459317419586">--hcatalog-table</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p8593184105812">Specifies a Hive table and imports data to it using HCatalog.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row20785942588"><td class="cellrowborder" rowspan="10" valign="top" width="25%" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p127851418582">Others</p>
+<p id="mrs_01_24456__p796212435819"></p>
+<p id="mrs_01_24456__p715013520589"></p>
+<p id="mrs_01_24456__p2031195105819"></p>
+<p id="mrs_01_24456__p1548275115814"></p>
+<p id="mrs_01_24456__p1221993320114"></p>
+<p id="mrs_01_24456__p9443183314120"></p>
+<p id="mrs_01_24456__p762393315115"></p>
+<p id="mrs_01_24456__p97853331518"></p>
+<p id="mrs_01_24456__p20557142212216"></p>
+</td>
+<td class="cellrowborder" valign="top" width="25%" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p47859475814">-m or --num-mappers</p>
+</td>
+<td class="cellrowborder" valign="top" width="50%" headers="mcps1.3.2.2.2.4.1.3 "><p id="mrs_01_24456__p17785134155816">Specifies the number of map tasks used by a Sqoop job.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row096216495819"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p1296210475815">--split-by</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p39627425814">Specifies the column based on which Sqoop splits work units. This parameter is used together with <strong id="mrs_01_24456__b792046151913">-m</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row21491359587"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p1415010595817">--target-dir</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p1715019512582">Specifies the temporary directory of HDFS.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row1231035155815"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p13118535810">--null-string string</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p5311555585">Specifies the string to be written for a null value for string columns.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row3482155155813"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p948217555810">--null-non-string</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p64823517586">Specifies the string to be written for a null value for non-string columns.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row821916331113"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p021911331219">--check-column</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p721910331919">Specifies the column for determining incremental data import.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row154431733411"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p1559512561811">--incremental append or lastmodified</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p37993124218">Incrementally imports data.</p>
+<p id="mrs_01_24456__p1685417545416"><strong id="mrs_01_24456__b65111817678">append</strong>: appends records, for example, appending records that are greater than the value specified by <strong id="mrs_01_24456__b551281716715">last-value</strong>.</p>
+<p id="mrs_01_24456__p683741014416"><strong id="mrs_01_24456__b1180161916710">lastmodified</strong>: appends data that is modified after the date specified by <strong id="mrs_01_24456__b198115199715">last-value</strong>.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row762353310116"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p662310331914">--last-value</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p1362314331110">Specifies the last value of the check column from the previous import.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row87851233819"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p1878616334113">--input-null-string</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p978615331812">Specifies the string to be interpreted as <strong id="mrs_01_24456__b157461724173916">NULL</strong> for string columns.</p>
+</td>
+</tr>
+<tr id="mrs_01_24456__row1355782219211"><td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.1 "><p id="mrs_01_24456__p12557132212213">--input-null-non-string</p>
+</td>
+<td class="cellrowborder" valign="top" headers="mcps1.3.2.2.2.4.1.2 "><p id="mrs_01_24456__p05571122921">Specifies the string to be interpreted as null for non-string columns. If this parameter is not specified, <strong id="mrs_01_24456__b1566182318403">NULL</strong> will be used.</p>
+</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24453.html">Using Sqoop</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24457.html b/docs/mrs/component-operation-guide/mrs_01_24457.html
new file mode 100644
index 000000000..e80cc3459
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24457.html
@@ -0,0 +1,28 @@
+<a name="mrs_01_24457"></a><a name="mrs_01_24457"></a>
+
+<h1 class="topictitle1">Common Issues About Sqoop</h1>
+<div id="body1595845458239"><p id="mrs_01_24457__p8060118"></p>
+</div>
+<div>
+<ul class="ullinks">
+<li class="ulchildlink"><strong><a href="mrs_01_24458.html">What Should I Do If Class QueryProvider Is Unavailable?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24460.html">How Do I Do If PostgreSQL or GaussDB Fails to Connect?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24461.html">What Should I Do If Data Failed to Be Synchronized to a Hive Table on the OBS Using hive-table?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24462.html">What Should I Do If Data Failed to Be Synchronized to an ORC or Parquet Table Using hive-table?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24463.html">What Should I Do If Data Failed to Be Synchronized Using hive-table?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24464.html">What Should I Do If Data Failed to Be Synchronized to a Hive Parquet Table Using HCatalog?</a></strong><br>
+</li>
+<li class="ulchildlink"><strong><a href="mrs_01_24465.html">What Should I Do If the Data Type of Fields timestamp and data Is Incorrect During Data Synchronization Between Hive and MySQL?</a></strong><br>
+</li>
+</ul>
+
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24453.html">Using Sqoop</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24458.html b/docs/mrs/component-operation-guide/mrs_01_24458.html
new file mode 100644
index 000000000..399fbed0a
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24458.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_24458"></a><a name="mrs_01_24458"></a>
+
+<h1 class="topictitle1">What Should I Do If Class QueryProvider Is Unavailable?</h1>
+<div id="body1595845458239"><div class="section" id="mrs_01_24458__s9a9951888d674a96a9d0d5198eb4cc90"><h4 class="sectiontitle">Question</h4><p id="mrs_01_24458__p16260133209">What should I do if the QueryProvider class is unavailable?</p>
+<p id="mrs_01_24458__ad9cdfaef7a5f4677bde8b896b7f1d975"><span><img id="mrs_01_24458__image1216132010614" src="en-us_image_0000001349289501.png"></span></p>
+</div>
+<div class="section" id="mrs_01_24458__section14772312144315"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_24458__p1577918205917">Search for the MRS client directory and save the following JAR packages to the <strong id="mrs_01_24458__b1198010564434">lib</strong> directory of Sqoop.</p>
+<p id="mrs_01_24458__p136721711594"><span><img id="mrs_01_24458__image1367711718597" src="en-us_image_0000001348770217.png"></span></p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24457.html">Common Issues About Sqoop</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24460.html b/docs/mrs/component-operation-guide/mrs_01_24460.html
new file mode 100644
index 000000000..b43f90c6d
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24460.html
@@ -0,0 +1,23 @@
+<a name="mrs_01_24460"></a><a name="mrs_01_24460"></a>
+
+<h1 class="topictitle1">How Do I Do If PostgreSQL or GaussDB Fails to Connect?</h1>
+<div id="body0000001172160004"><ul id="mrs_01_24460__ul1313371314495"><li id="mrs_01_24460__li171331613164915">Scenario 1: (<strong id="mrs_01_24460__b13386181625714">import</strong> scenarios) Run the <strong id="mrs_01_24460__b19419721115715">sqoop import</strong> command to extract the open source PostgreSQL to MRS HDFS or Hive.<ul id="mrs_01_24460__ul1624011111509"><li id="mrs_01_24460__li1272864316512">Symptom<p id="mrs_01_24460__p1651485517317"><a name="mrs_01_24460__li1272864316512"></a><a name="li1272864316512"></a>The <strong id="mrs_01_24460__b4650985089511">sqoop</strong> command can be executed to query PostgreSQL tables, but an error is reported when the <strong id="mrs_01_24460__b13630808189511">sqoop import</strong> command is executed.</p>
+<ul id="mrs_01_24460__ul19571574415"><li id="mrs_01_24460__li15711573411">The authentication type 12 is not supported. Check that you have configured the pg_hba.conf file to include the client's IP address or subnet, and that it</li><li id="mrs_01_24460__li18392181112419">The authentication type 5 is not supported. Check that you have configured the pg_hba.conf file to include the client's IP address or subnet, and that it</li></ul>
+</li><li id="mrs_01_24460__li126030470518">Root cause:<ul id="mrs_01_24460__ul155021716121415"><li id="mrs_01_24460__li1050231615146">If the authentication type is 5, the root cause is as follows: When the <strong id="mrs_01_24460__b17609048469511">sqoop import</strong> command is executed, a MapReduce job is started. The PostgreSQL driver package <strong id="mrs_01_24460__b13378746779511">gsjdbc4-*.jar</strong> exists in the MRS Hadoop installation directory <strong id="mrs_01_24460__b20111642389511">/opt/Bigdata/FusionInsight_HD_*/1_*_DataNode/install/hadoop/share/hadoop/common/lib</strong>, which is incompatible with the open source PostgreSQL service. As a result, an error is reported.</li><li id="mrs_01_24460__li995013194146">If the authentication type is 5, the root cause is as follows: The <strong id="mrs_01_24460__b174446211616">pg_hba.conf</strong> file of the database is incorrectly configured.</li></ul>
+</li><li id="mrs_01_24460__li1534220505517">Solution:<ul id="mrs_01_24460__ul132613915148"><li id="mrs_01_24460__li4569195515174">If the authentication type is 5, the solution is as follows: Move the driver package <strong id="mrs_01_24460__b348941599">gsjdbc4-*.jar</strong> to the <strong id="mrs_01_24460__b1565074615916">tmp</strong> directory on each MRS core node.<p id="mrs_01_24460__p1920420011816"><b><span class="cmdname" id="mrs_01_24460__cmdname15437416121820">mv /opt/Bigdata/FusionInsight_HD_*/1_*_DataNode/install/hadoop/share/hadoop/common/lib/gsjdbc4-*.jar /tmp</span></b></p>
+</li><li id="mrs_01_24460__li1852054571716">If the authentication type is 12, the solution is as follows: Modify the <strong id="mrs_01_24460__b5764520249511">pg_hba.conf</strong> file of the database by changing the value of <strong id="mrs_01_24460__b19892059539511">ADDRESS</strong> to the IP address of the node where Sqoop resides.</li></ul>
+</li></ul>
+</li><li id="mrs_01_24460__li685331813491">Scenario 2: (<strong id="mrs_01_24460__b13602104155717">export</strong> scenarios) Run the <strong id="mrs_01_24460__b18651646105718">sqoop export</strong> command to extract the open source PostgreSQL to MRS HDFS or Hive.<ul id="mrs_01_24460__ul1253554745013"><li id="mrs_01_24460__li165358515313">Symptom<p id="mrs_01_24460__p17591640361"><a name="mrs_01_24460__li165358515313"></a><a name="li165358515313"></a>The <strong id="mrs_01_24460__b16441529144612">sqoop</strong> command can be executed to query PostgreSQL tables, but the error message "The authentication type 5 is not supported." is displayed when the <strong id="mrs_01_24460__b188630219462">sqoop export</strong> command is executed. Check that you have configured the pg_hba.conf file to include the client's IP address or subnet, and that it</p>
+</li><li id="mrs_01_24460__li58141096533">Root cause:<p id="mrs_01_24460__p573817107538"><a name="mrs_01_24460__li58141096533"></a><a name="li58141096533"></a>When the <strong id="mrs_01_24460__b6517907949511">sqoop export</strong> command is executed, a MapReduce job is started. The PostgreSQL driver package <strong id="mrs_01_24460__b2782154489511">gsjdbc4-*.jar</strong> exists in the MRS Hadoop installation directory <strong id="mrs_01_24460__b20856103169511">/opt/Bigdata/FusionInsight_HD_*/1_*_DataNode/install/hadoop/share/hadoop/common/lib</strong>, which is incompatible with the open-source PostgreSQL service. As a result, an error is reported.</p>
+</li><li id="mrs_01_24460__li101421836105118">Solution:<p id="mrs_01_24460__p20142163610517"><a name="mrs_01_24460__li101421836105118"></a><a name="li101421836105118"></a>1. Move the driver package <strong id="mrs_01_24460__b5244133295112">gsjdbc4-*.jar</strong> to the <strong id="mrs_01_24460__b12531838165120">tmp</strong> directory on each MRS core node.</p>
+<p id="mrs_01_24460__p4142153635112"><b><span class="cmdname" id="mrs_01_24460__cmdname4644730121910">mv /opt/Bigdata/FusionInsight_HD_*/1_*_DataNode/install/hadoop/share/hadoop/common/lib/gsjdbc4-*.jar /tmp</span></b></p>
+<p id="mrs_01_24460__p10142636145117">2. Delete <strong id="mrs_01_24460__b88366425113">/opt/Bigdata/client/Hive/Beeline/lib/gsjdbc4-*.jars</strong>.</p>
+</li></ul>
+</li></ul>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24457.html">Common Issues About Sqoop</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24461.html b/docs/mrs/component-operation-guide/mrs_01_24461.html
new file mode 100644
index 000000000..e87f86e93
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24461.html
@@ -0,0 +1,15 @@
+<a name="mrs_01_24461"></a><a name="mrs_01_24461"></a>
+
+<h1 class="topictitle1">What Should I Do If Data Failed to Be Synchronized to a Hive Table on the OBS Using hive-table?</h1>
+<div id="body0000001217638303"><div class="section" id="mrs_01_24461__s9a9951888d674a96a9d0d5198eb4cc90"><h4 class="sectiontitle">Question</h4><p id="mrs_01_24461__ad9cdfaef7a5f4677bde8b896b7f1d975">What should I do if data failed to be synchronized to a Hive table on the OBS using hive-table?</p>
+<p id="mrs_01_24461__p53366571284"><span><img id="mrs_01_24461__image18605124915" src="en-us_image_0000001349289877.png"></span></p>
+</div>
+<div class="section" id="mrs_01_24461__section14772312144315"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_24461__p127324161490">Change <strong id="mrs_01_24461__b16970104913313">-hive-table</strong> to <strong id="mrs_01_24461__b16337753123316">-hcatalog-table</strong>.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24457.html">Common Issues About Sqoop</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24462.html b/docs/mrs/component-operation-guide/mrs_01_24462.html
new file mode 100644
index 000000000..a432a266a
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24462.html
@@ -0,0 +1,14 @@
+<a name="mrs_01_24462"></a><a name="mrs_01_24462"></a>
+
+<h1 class="topictitle1">What Should I Do If Data Failed to Be Synchronized to an ORC or Parquet Table Using hive-table?</h1>
+<div id="body0000001217719837"><div class="section" id="mrs_01_24462__s9a9951888d674a96a9d0d5198eb4cc90"><h4 class="sectiontitle">Question</h4><p id="mrs_01_24462__p5380465911">What should I do if data failed to be synchronized to the ORC or parquet table using hive-table and error message that contains the <strong id="mrs_01_24462__b1122714218391">kite-sdk</strong> package name is displayed?</p>
+</div>
+<div class="section" id="mrs_01_24462__section14772312144315"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_24462__p127817918104">Change <strong id="mrs_01_24462__b177711458403">-hive-table</strong> to <strong id="mrs_01_24462__b11784645154014">-hcatalog-table</strong>.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24457.html">Common Issues About Sqoop</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24463.html b/docs/mrs/component-operation-guide/mrs_01_24463.html
new file mode 100644
index 000000000..9858c9f2c
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24463.html
@@ -0,0 +1,16 @@
+<a name="mrs_01_24463"></a><a name="mrs_01_24463"></a>
+
+<h1 class="topictitle1">What Should I Do If Data Failed to Be Synchronized Using hive-table?</h1>
+<div id="body0000001172478534"><div class="section" id="mrs_01_24463__s9a9951888d674a96a9d0d5198eb4cc90"><h4 class="sectiontitle">Question</h4><p id="mrs_01_24463__p5916104117100">What should I do if data failed to be synchronized using hive-table?</p>
+<p id="mrs_01_24463__p1560822191117"><span><img id="mrs_01_24463__image1325312391116" src="en-us_image_0000001348770537.png"></span></p>
+</div>
+<div class="section" id="mrs_01_24463__section14772312144315"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_24463__p38583188169">Add the following content to the <strong id="mrs_01_24463__b572045974212">hive-site.xml</strong> file.</p>
+<p id="mrs_01_24463__p1970652417114"><span><img id="mrs_01_24463__image6881132515118" src="en-us_image_0000001295770720.png"></span></p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24457.html">Common Issues About Sqoop</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24464.html b/docs/mrs/component-operation-guide/mrs_01_24464.html
new file mode 100644
index 000000000..6944b9698
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24464.html
@@ -0,0 +1,15 @@
+<a name="mrs_01_24464"></a><a name="mrs_01_24464"></a>
+
+<h1 class="topictitle1">What Should I Do If Data Failed to Be Synchronized to a Hive Parquet Table Using HCatalog?</h1>
+<div id="body0000001172332206"><div class="section" id="mrs_01_24464__section1013611312280"><h4 class="sectiontitle">Question</h4><p id="mrs_01_24464__p6373132318289">When the partition fields in a Hive parquet table are not of the string type, data in the table can be synchronized only using HCatalog. What should I do if the following error message is displayed during data synchronization?</p>
+<p id="mrs_01_24464__p33855055619"><span><img id="mrs_01_24464__image2381650125612" src="en-us_image_0000001441210777.png"></span></p>
+</div>
+<div class="section" id="mrs_01_24464__section157945322820"><h4 class="sectiontitle">Answer</h4><ol id="mrs_01_24464__ol6186104916314"><li id="mrs_01_24464__li18186144912314">Delete the restricted code in the <strong id="mrs_01_24464__b56281413165111">SqoopHCatUtilities</strong> class of Sqoop.</li><li id="mrs_01_24464__li844925119312">Change the value of the <strong id="mrs_01_24464__b1822020412549">hive.metastore.integral.jdo.pushdown</strong> parameter in the <strong id="mrs_01_24464__b627431815544">hive-site.xml</strong> file on the Hive client to <strong id="mrs_01_24464__b5581202805417">true</strong>.</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24457.html">Common Issues About Sqoop</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24465.html b/docs/mrs/component-operation-guide/mrs_01_24465.html
new file mode 100644
index 000000000..24b9e93db
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24465.html
@@ -0,0 +1,15 @@
+<a name="mrs_01_24465"></a><a name="mrs_01_24465"></a>
+
+<h1 class="topictitle1">What Should I Do If the Data Type of Fields timestamp and data Is Incorrect During Data Synchronization Between Hive and MySQL?</h1>
+<div id="body0000001172490752"><div class="section" id="mrs_01_24465__section1783813471329"><h4 class="sectiontitle">Question</h4><p id="mrs_01_24465__p1521835510321">What should I do if the data type of fields timestamp and data is incorrect during data synchronization between Hive and MySQL?</p>
+<p id="mrs_01_24465__p1952945133316"><span><img id="mrs_01_24465__image1595713543317" src="en-us_image_0000001296249912.png"></span></p>
+</div>
+<div class="section" id="mrs_01_24465__section153051648143220"><h4 class="sectiontitle">Answer</h4><ul id="mrs_01_24465__ul102037172357"><li id="mrs_01_24465__li182036175355">Forcibly convert the data type of the timestamp field in the Sqoop source package to be the same as that in Hive.</li><li id="mrs_01_24465__li05271621153512">Change the data type of the timestamp field in Hive to String.</li></ul>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24457.html">Common Issues About Sqoop</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24479.html b/docs/mrs/component-operation-guide/mrs_01_24479.html
new file mode 100644
index 000000000..85101d928
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24479.html
@@ -0,0 +1,11 @@
+<a name="mrs_01_24479"></a><a name="mrs_01_24479"></a>
+
+<h1 class="topictitle1">Common Oozie Troubleshooting Methods</h1>
+<div id="body0000001237948667"><ol id="mrs_01_24479__ol93910315414"><li id="mrs_01_24479__li13394318415">Check the job logs on Yarn. Run the command executed through Hive SQL using beeline to ensure that Hive is running properly.</li><li id="mrs_01_24479__li93993184119">If error information such as "classnotfoundException" is displayed, check whether the JAR package of the faulty class exists in the <strong id="mrs_01_24479__b13682113974713">/user/oozie/share/lib</strong> directory of each component. If no, add the JAR package and go to <a href="mrs_01_1847.html">Why Update of the share lib Directory of Oozie on HDFS Does Not Take Effect?</a>. If the faulty class still cannot be found after the <strong id="mrs_01_24479__b18611854114814">share lib</strong> directory is updated, check whether <strong id="mrs_01_24479__b531154212491">sharelibDirNew</strong> is <strong id="mrs_01_24479__b335114764912">/user/oozie/share/lib</strong> in the output of the command for updating the directory.<span><img id="mrs_01_24479__image192102515448" src="en-us_image_0000001349289617.png"></span></li><li id="mrs_01_24479__li114019334115">If "NosuchMethodError" is displayed, check whether the JAR packages of each component in the <strong id="mrs_01_24479__b67917507517">/user/oozie/share/lib</strong> directory have multiple versions. Note that the JAR packages uploaded by the service cannot conflict with each other. You can check whether a JAR package conflict occurs based on the loaded JAR packages in Oozie run logs on Yarn.</li><li id="mrs_01_24479__li15401039414">If the self-developed code is abnormal, run the Oozie sample to check whether Oozie is running properly.</li><li id="mrs_01_24479__li14018314112">Contact technical support personnel. By using this method, you must collect run logs of Oozie on Yarn, Oozie logs, and component run logs. For example, if an exception occurs when Hive runs on Oozie, you need to collect Hive logs.</li></ol>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1844.html">Common Issues About Oozie</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24482.html b/docs/mrs/component-operation-guide/mrs_01_24482.html
new file mode 100644
index 000000000..40862f302
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24482.html
@@ -0,0 +1,25 @@
+<a name="mrs_01_24482"></a><a name="mrs_01_24482"></a>
+
+<h1 class="topictitle1">How Do I Disable the Logging Function of Hive?</h1>
+<div id="body0000001242875831"><div class="section" id="mrs_01_24482__section6338361218"><h4 class="sectiontitle">Question</h4><p id="mrs_01_24482__p25061381022">How do I disable the logging function of Hive?</p>
+</div>
+<div class="section" id="mrs_01_24482__section2441030321"><h4 class="sectiontitle">Answer</h4><ol id="mrs_01_24482__ol3239144922416"><li id="mrs_01_24482__li7228846162216"><span>Log in to the node where the client is installed as user <strong id="mrs_01_24482__b1158917427911">root</strong>.</span></li><li id="mrs_01_24482__l8276fb953ede48e3bcae37889eabd834"><span>Run the following command to switch to the client installation directory, for example, <strong id="mrs_01_24482__b1192673413263">/opt/Bigdata/client</strong>:</span><p><p id="mrs_01_24482__a7734bbc033c24c0e96a22957af2f367f"><strong id="mrs_01_24482__af1de2390d4ec4df6b0e28574d3329dff">cd </strong><strong id="mrs_01_24482__b499310479379">/opt/Bigdata/client</strong></p>
+</p></li><li id="mrs_01_24482__l5597fd376c554a00a433496294b4b278"><span>Run the following command to configure environment variables:</span><p><p id="mrs_01_24482__a988e7b87692b4a528f97f0da18a8f07e"><strong id="mrs_01_24482__a32ecf708d4cb4e4d9c017de49ec5b482">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_24482__ld661d1bcf5d74879a7d849cd7c0c1385"><span>Log in to the Hive client based on the cluster authentication mode.</span><p><ul id="mrs_01_24482__u3aa29e5ff09943f4beea98856990f774"><li id="mrs_01_24482__l33866974acd3485d91b1ab7b09109770">In security mode, run the following command to complete user authentication and log in to the Hive client:<p id="mrs_01_24482__af6d25c71dd8b42918f2ee66ce22fcb54"><a name="mrs_01_24482__l33866974acd3485d91b1ab7b09109770"></a><a name="l33866974acd3485d91b1ab7b09109770"></a><strong id="mrs_01_24482__a02d04d7ca6db42ca8e8a517af0d6b4aa">kinit</strong> <em id="mrs_01_24482__af221d63242b94859a70557c37f903165">Component service user</em></p>
+<p id="mrs_01_24482__ae31bf0ac43b54ae1ad6015a618753c1d"><strong id="mrs_01_24482__af8eb14eb0f8242beab8dcd59b314375c">beeline</strong></p>
+</li><li id="mrs_01_24482__l9401eeec55ec40748da9e0b42341df6f">In normal mode, run the following command to log in to the Hive client:<ul id="mrs_01_24482__ul08321333183420"><li id="mrs_01_24482__li76013013414">Run the following command to log in to the Hive client as the component service user:<p id="mrs_01_24482__p66053013414"><a name="mrs_01_24482__li76013013414"></a><a name="li76013013414"></a><strong id="mrs_01_24482__b1960193019345">beeline -n</strong> <em id="mrs_01_24482__i17601730143414">component service user</em></p>
+</li><li id="mrs_01_24482__li129871658133417">If no component service user is specified, the current OS user is used to log in to the Hive client.<p id="mrs_01_24482__p5544740173515"><a name="mrs_01_24482__li129871658133417"></a><a name="li129871658133417"></a><strong id="mrs_01_24482__b9302738153510">beeline</strong></p>
+</li></ul>
+</li></ul>
+</p></li><li id="mrs_01_24482__li1712912114302"><span>Run the following command to disable the logging function:</span><p><p id="mrs_01_24482__p19534913016"><strong id="mrs_01_24482__b83871512316">set hive.server2.logging.operation.enabled=false;</strong></p>
+</p></li><li id="mrs_01_24482__li16198153193419"><span>Run the following command to check whether the logging function is disabled. If the following information is displayed, the logging function is disabled successfully.</span><p><p id="mrs_01_24482__p1184991414367"><strong id="mrs_01_24482__b15911012153613">set hive.server2.logging.operation.enabled;</strong></p>
+<p id="mrs_01_24482__p5975171817361"><span><img id="mrs_01_24482__image1551764553619" src="en-us_image_0000001296250116.png"></span></p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1752.html">Common Issues About Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24486.html b/docs/mrs/component-operation-guide/mrs_01_24486.html
new file mode 100644
index 000000000..d8a57f558
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24486.html
@@ -0,0 +1,14 @@
+<a name="mrs_01_24486"></a><a name="mrs_01_24486"></a>
+
+<h1 class="topictitle1">Why Hive Tables in the OBS Directory Fail to Be Deleted?</h1>
+<div id="body0000001200601132"><div class="section" id="mrs_01_24486__section6338361218"><h4 class="sectiontitle">Question</h4><p id="mrs_01_24486__p25061381022">In the scenario where the fine-grained permission is configured for multiple MRS users to access OBS, after the permission for deleting Hive tables in the OBS directory is added to the custom configuration of Hive, tables are deleted on the Hive client but still exist in the OBS directory.</p>
+</div>
+<div class="section" id="mrs_01_24486__section889233491118"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_24486__p154154235145">You do not have the permission to delete directories on OBS. As a result, Hive tables cannot be deleted. In this case, modify the custom IAM policy of the agency and configure Hive with the permission for deleting tables in the OBS directory.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1752.html">Common Issues About Hive</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24491.html b/docs/mrs/component-operation-guide/mrs_01_24491.html
new file mode 100644
index 000000000..61c99dbad
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24491.html
@@ -0,0 +1,22 @@
+<a name="mrs_01_24491"></a><a name="mrs_01_24491"></a>
+
+<h1 class="topictitle1">Why Cannot I Query Newly Inserted Data in an ORC Hive Table Using Spark SQL?</h1>
+<div id="body0000001252294421"><div class="section" id="mrs_01_24491__section1938124410304"><h4 class="sectiontitle">Question</h4><p id="mrs_01_24491__p7179131610522">Why cannot I query newly inserted data in an ORC Hive table using Spark SQL? This problem occurs in the following scenarios:</p>
+<ul id="mrs_01_24491__ul1170492383113"><li id="mrs_01_24491__li1370416233311">For partitioned tables and non-partitioned tables, after data is inserted on the Hive client, the latest inserted data cannot be queried using Spark SQL.</li><li id="mrs_01_24491__li1193410253316">After data is inserted into a partitioned table using Spark SQL, if the partition information remains unchanged, the newly inserted data cannot be queried using Spark SQL.</li></ul>
+</div>
+<div class="section" id="mrs_01_24491__section18523211173115"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_24491__p1537884213523">To improve Spark performance, ORC metadata is cached. When the ORC table is updated by Hive or another means, the cached metadata remains unchanged, resulting in Spark SQL failing to query the newly inserted data.</p>
+<p id="mrs_01_24491__p1237874265213">For an ORC Hive partition table, if the partition information remains unchanged after data is inserted, the cached metadata is not updated. As a result, the newly inserted data cannot be queried by Spark SQL.</p>
+<p id="mrs_01_24491__p14379104214523"><strong id="mrs_01_24491__b16594145493115">Solution</strong></p>
+<ol id="mrs_01_24491__ol4952195717319"><li id="mrs_01_24491__li19952857133118">To solve the query problem, update metadata before starting a Spark SQL query.<p id="mrs_01_24491__p1237974212527"><a name="mrs_01_24491__li19952857133118"></a><a name="li19952857133118"></a><strong id="mrs_01_24491__b156532591322">REFRESH TABLE</strong><em id="mrs_01_24491__i1224716023317"> t</em><em id="mrs_01_24491__i71017563329">able_name</em><strong id="mrs_01_24491__b134551355163216">;</strong></p>
+<p id="mrs_01_24491__p14379174245216"><i><span class="varname" id="mrs_01_24491__varname740345910115230">table_name</span></i> indicates the name of the table to be updated. The table must exist. Otherwise, an error is reported.</p>
+<p id="mrs_01_24491__p15379164218528">When the query statement is executed, the latest inserted data can be obtained.</p>
+</li><li id="mrs_01_24491__li1083941203217">Run the following command to disable Spark optimization when using Spark:<p id="mrs_01_24491__p237914218524"><a name="mrs_01_24491__li1083941203217"></a><a name="li1083941203217"></a><strong id="mrs_01_24491__b13813143013217">set spark.sql.hive.convertMetastoreOrc=false;</strong></p>
+</li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_2022.html">Spark SQL and DataFrame</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24504.html b/docs/mrs/component-operation-guide/mrs_01_24504.html
new file mode 100644
index 000000000..817cac345
--- /dev/null
+++ b/docs/mrs/component-operation-guide/mrs_01_24504.html
@@ -0,0 +1,20 @@
+<a name="mrs_01_24504"></a><a name="mrs_01_24504"></a>
+
+<h1 class="topictitle1">Hudi Fails to Write Decimal Data with Lower Precision</h1>
+<div id="body0000001208420474"><div class="section" id="mrs_01_24504__section1453810451898"><h4 class="sectiontitle">Question</h4><p id="mrs_01_24504__p16821131013553">Decimal data is initially written to a Hudi table using the <strong id="mrs_01_24504__b263581081817">BULK_INSERT</strong> command. Then when data is subsequently written using <strong id="mrs_01_24504__b722155217187">UPSERT</strong>, the following error is reported:</p>
+<pre class="screen" id="mrs_01_24504__screen63515448334">java.lang.UnsupportedOperationException: org.apache.parquet.avro.AvroConverters$FieldFixedConverter</pre>
+</div>
+<div class="section" id="mrs_01_24504__section11310239101"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_24504__p179911820134310"><strong id="mrs_01_24504__b10509927184312">Cause:</strong></p>
+<p id="mrs_01_24504__p53358525561">The Hudi table contains decimal data.</p>
+<p id="mrs_01_24504__p106921123105712">The initial bulk insert of data is implemented using the Spark class for writing Parquet files. However, Spark processes the decimal data with different precisions differently.</p>
+<p id="mrs_01_24504__p10846113375816">When data is written using the <strong id="mrs_01_24504__b14858681221">UPSERT</strong> command, Hudi uses the Avro-compliant class for writing Parquet files, which is incompatible with the Spark class.</p>
+<p id="mrs_01_24504__p34891548165917"><strong id="mrs_01_24504__b173631623124213">Solutions:</strong></p>
+<p id="mrs_01_24504__p32764811019">When executing the <strong id="mrs_01_24504__b125681322811">BULK_INSERT</strong> command, set <strong id="mrs_01_24504__b157921817914">hoodie.datasource.write.row.writer.enable</strong> to <strong id="mrs_01_24504__b15440171615910">false</strong> to enable Hoodie to use the Avro-compliant class for writing Parquet files.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_24070.html">Data Write</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24534.html b/docs/mrs/component-operation-guide/mrs_01_24534.html
new file mode 100644
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+<a name="mrs_01_24534"></a><a name="mrs_01_24534"></a>
+
+<h1 class="topictitle1">Migrating Data Between Kafka Nodes</h1>
+<div id="body0000001215605640"><div class="section" id="mrs_01_24534__section3106125805312"><h4 class="sectiontitle">Scenario</h4><p id="mrs_01_24534__p456912112294">This section describes how to use Kafka client commands to migrate partition data between disks on a node without stopping the Kafka service.</p>
+</div>
+<div class="section" id="mrs_01_24534__section1526183519545"><h4 class="sectiontitle">Prerequisites</h4><ul id="mrs_01_24534__ul556961116291"><li id="mrs_01_24534__li105691711182915">The system administrator has understood service requirements and prepared a Kafka user (belonging to the <strong id="mrs_01_24534__b213212352022235">kafkaadmin</strong> group and not required for the normal mode).</li><li id="mrs_01_24534__li5569121111297">The Kafka client has been installed.</li><li id="mrs_01_24534__li11694523193118">The Kafka instance status and disk status are normal.</li><li id="mrs_01_24534__li654214467344">Based on the current disk space usage of the partition to be migrated, ensure that the disk space will be sufficient after the migration.</li></ul>
+</div>
+<div class="section" id="mrs_01_24534__section42321249555"><h4 class="sectiontitle">Procedure</h4><ol id="mrs_01_24534__ol82491327205517"><li id="mrs_01_24534__li1924932710556"><span>Log in as a client installation user to the node on which the Kafka client is installed.</span></li><li id="mrs_01_24534__li52492273553"><span>Run the following command to switch to the Kafka client installation directory, for example, <strong id="mrs_01_24534__b10376195317337">/opt/kafkaclient</strong>:</span><p><p id="mrs_01_24534__p053212717416"><strong id="mrs_01_24534__b1674721043">cd /opt/kafkaclient</strong></p>
+</p></li><li id="mrs_01_24534__li1724972775516"><span>Run the following command to set environment variables:</span><p><p id="mrs_01_24534__p45691311152914"><strong id="mrs_01_24534__b7569311132919">source bigdata_env</strong></p>
+</p></li><li id="mrs_01_24534__li62499277557"><span>Run the following command to authenticate the user (skip this step in normal mode):</span><p><p id="mrs_01_24534__p25691711122914"><strong id="mrs_01_24534__b256941118299">kinit</strong> <em id="mrs_01_24534__i2569181162917">Component service user</em></p>
+</p></li><li id="mrs_01_24534__li2024918275556"><span>Run the following command to switch to the Kafka client directory:</span><p><p id="mrs_01_24534__p1561195265311"><strong id="mrs_01_24534__b861145212538">cd Kafka/kafka/bin</strong></p>
+</p></li><li id="mrs_01_24534__li420725319552"><a name="mrs_01_24534__li420725319552"></a><a name="li420725319552"></a><span>Run the following command to view the topic details of the partition to be migrated:</span><p><p id="mrs_01_24534__p1689515228115"><strong id="mrs_01_24534__b17807106438">Security mode:</strong></p>
+<p id="mrs_01_24534__p1515585185418"><strong id="mrs_01_24534__b100510922622235">./kafka-topics.sh --describe --bootstrap-server</strong> <em id="mrs_01_24534__i97417223822235">IP address of the Kafka</em><em id="mrs_01_24534__i163191358722235">cluster:21007</em> <strong id="mrs_01_24534__b114947744622235">--command-config ../config/client.properties</strong> <strong id="mrs_01_24534__b98843515522235">--topic</strong> <em id="mrs_01_24534__i8854092822235">topic name</em></p>
+<p id="mrs_01_24534__p187625281919"><strong id="mrs_01_24534__b589419316434">Normal mode:</strong></p>
+<p id="mrs_01_24534__p14291425722"><strong id="mrs_01_24534__b9827625026">./kafka-topics.sh --describe --bootstrap-server</strong> <em id="mrs_01_24534__i1982742520219">IP address of the Kafka cluster</em><em id="mrs_01_24534__i1682716252211">:21005</em> <strong id="mrs_01_24534__b6827132516217">--command-config ../config/client.properties</strong> <strong id="mrs_01_24534__b78271625721">--topic</strong> <em id="mrs_01_24534__i882718251720">Topic name</em></p>
+<p id="mrs_01_24534__p1644215419016"><span><img id="mrs_01_24534__image270174219011" src="en-us_image_0000001349289873.png"></span></p>
+</p></li><li id="mrs_01_24534__li1824951465613"><a name="mrs_01_24534__li1824951465613"></a><a name="li1824951465613"></a><span>Run the following command to query the mapping between <strong id="mrs_01_24534__b3298154613352">Broker_ID</strong> and the IP address:</span><p><p id="mrs_01_24534__p159254173215"><strong id="mrs_01_24534__b169259110322">./kafka-broker-info.sh --zookeeper </strong><em id="mrs_01_24534__i120223393622235">IP address of the ZooKeeper quorumpeer instance</em>:<em id="mrs_01_24534__i3275125422235">ZooKeeper port number</em><strong id="mrs_01_24534__b15174907022235">/kafka</strong></p>
+<pre class="screen" id="mrs_01_24534__screen16625165832712">Broker_ID     IP_Address
+--------------------------
+4           192.168.0.100
+5           192.168.0.101
+6           192.168.0.102</pre>
+<div class="p" id="mrs_01_24534__p1720264311514"><div class="note" id="mrs_01_24534__note183961743134015"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_24534__ul4278192283814"><li id="mrs_01_24534__li024511411817">IP address of the ZooKeeper quorumpeer instance<p id="mrs_01_24534__p92456140814"><a name="mrs_01_24534__li024511411817"></a><a name="li024511411817"></a>To obtain IP addresses of all ZooKeeper quorumpeer instances, log in to FusionInsight Manager and choose <strong id="mrs_01_24534__b173347918022235">Cluster</strong> &gt; <strong id="mrs_01_24534__b147420489322235">Services</strong> &gt; <strong id="mrs_01_24534__b107933900022235">ZooKeeper</strong>. On the displayed page, click <strong id="mrs_01_24534__b62221762422235">Instance</strong> and view the IP addresses of all the hosts where the quorumpeer instances locate.</p>
+</li><li id="mrs_01_24534__li624515142816">Port number of the ZooKeeper client<p id="mrs_01_24534__p1724512142082"><a name="mrs_01_24534__li624515142816"></a><a name="li624515142816"></a>Log in to FusionInsight Manager and choose <strong id="mrs_01_24534__b72253318822235">Cluster</strong> &gt; <strong id="mrs_01_24534__b9594769622235">Service</strong> &gt; <strong id="mrs_01_24534__b85687752422235">ZooKeeper</strong>. On the displayed page, click <strong id="mrs_01_24534__b17324332022235">Configurations</strong> and check the value of <strong id="mrs_01_24534__b64103511722235">clientPort</strong>. The default value is <strong id="mrs_01_24534__b146692992922235">24002</strong>.</p>
+</li></ul>
+</div></div>
+</div>
+</p></li><li id="mrs_01_24534__li1230081019282"><a name="mrs_01_24534__li1230081019282"></a><a name="li1230081019282"></a><span>Obtain the partition distribution and node information from the command output in <a href="#mrs_01_24534__li420725319552">6</a> and <a href="#mrs_01_24534__li1824951465613">7</a>, and create the JSON file for reallocation in the current directory.</span><p><div class="p" id="mrs_01_24534__p38811911182918">To migrate data in the partition whose <strong id="mrs_01_24534__b1638520173916">Broker_ID</strong> is <strong id="mrs_01_24534__b57992037143917">6</strong> to the <strong id="mrs_01_24534__b553719485381">/srv/BigData/hadoop/data1/kafka-logs</strong> directory, the required JSON configuration file is as follows:<pre class="screen" id="mrs_01_24534__screen1054859101815">{"partitions":[{"topic": "testws","partition": 2,"replicas": [6,5],"log_dirs": ["/srv/BigData/hadoop/data1/kafka-logs","any"]}],"version":1}</pre>
+<div class="note" id="mrs_01_24534__note1823692273715"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><ul id="mrs_01_24534__ul159881625104812"><li id="mrs_01_24534__li598918257488"><strong id="mrs_01_24534__b126551518408">topic</strong> indicates the topic name, for example, <strong id="mrs_01_24534__b65991158154011">testws</strong>.</li><li id="mrs_01_24534__li09892252483"><strong id="mrs_01_24534__b1953815454116">partition</strong> indicates the topic partition.</li><li id="mrs_01_24534__li10989162518481">The number in <strong id="mrs_01_24534__b122215185414">replicas</strong> corresponds to <strong id="mrs_01_24534__b17274142417413">Broker_ID</strong>.</li><li id="mrs_01_24534__li16989102519480"><strong id="mrs_01_24534__b1934643212415">log_dirs</strong> indicates the path of the disk to be migrated. In this example, <strong id="mrs_01_24534__b1376862274213">log_dirs</strong> of the node whose <strong id="mrs_01_24534__b13180111014434">Broker_ID</strong> is <strong id="mrs_01_24534__b16677322204311">5</strong> is set to <strong id="mrs_01_24534__b13261219184413">any</strong>, and that of the node whose <strong id="mrs_01_24534__b54457533430">Broker_ID</strong> is <strong id="mrs_01_24534__b16319574437">6</strong> is set to <strong id="mrs_01_24534__b07288274412">/srv/BigData/hadoop/data1/kafka-logs.</strong> Note that the path must correspond to the node.</li></ul>
+</div></div>
+</div>
+</p></li><li id="mrs_01_24534__li826965415581"><span>Run the following command to perform reallocation:</span><p><p id="mrs_01_24534__p1487510510588"><strong id="mrs_01_24534__b43653144416">Security mode:</strong></p>
+<p id="mrs_01_24534__p6424103235810"><strong id="mrs_01_24534__b17622105104413">./kafka-reassign-partitions.sh</strong><strong id="mrs_01_24534__b206231259445"> --bootstrap-server</strong><em id="mrs_01_24534__i362411524418">  Service IP address of Broker</em><strong id="mrs_01_24534__b176241257446">:21007 </strong><strong id="mrs_01_24534__b46250519441">--command-config ../config/client.properties</strong><strong id="mrs_01_24534__b76250518449"> --zookeeper </strong><em id="mrs_01_24534__i1626956440">{zk_host}:{port}</em><strong id="mrs_01_24534__b362815574412">/kafka</strong><strong id="mrs_01_24534__b20629125114418"> --reassignment-json-file</strong><em id="mrs_01_24534__i126311152441"><em id="mrs_01_24534__i1863014504414"> Path of the JSON file compiled in <a href="#mrs_01_24534__li1230081019282">8</a></em><strong id="mrs_01_24534__b163175194416"> </strong></em><strong id="mrs_01_24534__b063215544416"> --</strong><strong id="mrs_01_24534__b963315114419">execute</strong></p>
+<p id="mrs_01_24534__p1977117335597"><strong id="mrs_01_24534__b9454168164415">Normal mode:</strong></p>
+<p id="mrs_01_24534__p10579531705"><strong id="mrs_01_24534__b1482441518449">./kafka-reassign-partitions.sh</strong><strong id="mrs_01_24534__b1383381517440"> --bootstrap-server</strong><em id="mrs_01_24534__i17834715114410">  Service IP address of Broker</em><strong id="mrs_01_24534__b2834141504418">:21005 </strong><strong id="mrs_01_24534__b1835121517448">--command-config ../config/client.properties</strong><strong id="mrs_01_24534__b128357153446"> --zookeeper </strong><em id="mrs_01_24534__i783514158445">{zk_host}:{port}</em><strong id="mrs_01_24534__b178357151448">/kafka</strong><strong id="mrs_01_24534__b9836111574420"> --reassignment-json-file</strong><em id="mrs_01_24534__i19837111514416"><em id="mrs_01_24534__i17836171544412"> Path of the JSON file compiled in <a href="#mrs_01_24534__li1230081019282">8</a></em><strong id="mrs_01_24534__b583731514446"> </strong></em><strong id="mrs_01_24534__b78371915114414"> --</strong><strong id="mrs_01_24534__b148381615154416">execute</strong></p>
+<p id="mrs_01_24534__p1142517329583">If message "Successfully started reassignment of partitions" is displayed, the execution is successful.</p>
+</p></li></ol>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_0375.html">Using Kafka</a></div>
+</div>
+</div>
+
diff --git a/docs/mrs/component-operation-guide/mrs_01_24537.html b/docs/mrs/component-operation-guide/mrs_01_24537.html
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index 000000000..9f9a4589d
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+<a name="mrs_01_24537"></a><a name="mrs_01_24537"></a>
+
+<h1 class="topictitle1">Why Do Files of a Carbon Table Exist in the Recycle Bin Even If the drop table Command Is Not Executed When Mis-deletion Prevention Is Enabled?</h1>
+<div id="body0000001261852011"><div class="section" id="mrs_01_24537__s32e8fb6882ae433d9dc51e0975a36376"><h4 class="sectiontitle">Question</h4><p id="mrs_01_24537__p9445194973412">Why do files of a Carbon table exist in the recycle bin even if the <strong id="mrs_01_24537__b1671121302412">drop table</strong> command is not executed when mis-deletion prevention is enabled?</p>
+</div>
+<div class="section" id="mrs_01_24537__section1811254073410"><h4 class="sectiontitle">Answer</h4><p id="mrs_01_24537__p2962658173416">After the the mis-deletion prevention is enabled for a Carbon table, calling a file deletion command will move the deleted files to the recycle bin. The intermediate file <strong id="mrs_01_24537__b1453018633012">.carbonindex</strong> is deleted durtion the execution of the <strong id="mrs_01_24537__b1889601323013">insert</strong> or <strong id="mrs_01_24537__b2512418113014">load</strong> command. Therefore, the table files may exist in the recycle bin even through the <strong id="mrs_01_24537__b17856105710302">drop table</strong> command is not executed. If you run the <strong id="mrs_01_24537__b182321150162813">drop table</strong> command, a table directory with a timestamp is generated. The files in the directory are complete.</p>
+</div>
+</div>
+<div>
+<div class="familylinks">
+<div class="parentlink"><strong>Parent topic:</strong> <a href="mrs_01_1457.html">CarbonData FAQ</a></div>
+</div>
+</div>
+
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