diff --git a/docs/geminidb/umn/ALL_META.TXT.json b/docs/geminidb/umn/ALL_META.TXT.json index b10c680b0..c8bf3128f 100644 --- a/docs/geminidb/umn/ALL_META.TXT.json +++ b/docs/geminidb/umn/ALL_META.TXT.json @@ -47,7 +47,7 @@ "node_id":"nosql_01_0001.xml", "product_code":"nosql", "code":"3", - "des":"GeminiDB is a distributed database with decoupled compute and storage architecture. The compute clusters consist of multiple homogeneous nodes, and data is stored in a di", + "des":"GeminiDB is a distributed database store with decoupled storage and compute. Its compute cluster consists of multiple homogeneous nodes.Data is stored in a distributed sh", "doc_type":"usermanual", "kw":"System Architecture,Introduction,User Guide", "search_title":"", @@ -629,7 +629,7 @@ "code":"32", "des":"This section describes how to change the CPU or memory of your instance to suit your service requirements.Instances can be scaled up or down.Services will be interrupted ", "doc_type":"usermanual", - "kw":"Changing a DB Instance Class,DB Instance Management,User Guide", + "kw":"Changing the CPU and Memory of an Instance,DB Instance Management,User Guide", "search_title":"", "metedata":[ { @@ -639,7 +639,7 @@ "IsBot":"Yes;No" } ], - "title":"Changing a DB Instance Class", + "title":"Changing the CPU and Memory of an Instance", "githuburl":"" }, { diff --git a/docs/geminidb/umn/CLASS.TXT.json b/docs/geminidb/umn/CLASS.TXT.json index 1a50ed4e6..de8e406f9 100644 --- a/docs/geminidb/umn/CLASS.TXT.json +++ b/docs/geminidb/umn/CLASS.TXT.json @@ -18,7 +18,7 @@ "code":"2" }, { - "desc":"GeminiDB is a distributed database with decoupled compute and storage architecture. The compute clusters consist of multiple homogeneous nodes, and data is stored in a di", + "desc":"GeminiDB is a distributed database store with decoupled storage and compute. Its compute cluster consists of multiple homogeneous nodes.Data is stored in a distributed sh", "product_code":"nosql", "title":"System Architecture", "uri":"nosql_01_0001.html", @@ -281,7 +281,7 @@ { "desc":"This section describes how to change the CPU or memory of your instance to suit your service requirements.Instances can be scaled up or down.Services will be interrupted ", "product_code":"nosql", - "title":"Changing a DB Instance Class", + "title":"Changing the CPU and Memory of an Instance", "uri":"nosql_03_0026.html", "doc_type":"usermanual", "p_code":"26", diff --git a/docs/geminidb/umn/nosql_01_0001.html b/docs/geminidb/umn/nosql_01_0001.html index 0bb7462f1..d1af77ae6 100644 --- a/docs/geminidb/umn/nosql_01_0001.html +++ b/docs/geminidb/umn/nosql_01_0001.html @@ -1,7 +1,9 @@
GeminiDB is a distributed database with decoupled compute and storage architecture. The compute clusters consist of multiple homogeneous nodes, and data is stored in a distributed, shared storage pool. Compute and storage resources are decoupled from each other so they can be flexibly scaled in or out without having to migrate any data.
+GeminiDB is a distributed database store with decoupled storage and compute. Its compute cluster consists of multiple homogeneous nodes.
+Data is stored in a distributed shared storage pool.
+Compute and storage resources are decoupled from each other so they can be flexibly scaled in or out without having to migrate any data.
GeminiDB is compatible with Cassandra APIs. It is designed for write-intensive scenarios, specifically applied in manufacturing, logistics, health care, real estate, energy production, and agriculture. It can process data sent by different types of sensors for further analysis.
-Advantages:
+Highlights
E-commerce and entertainment websites that include product catalogs, recommendations, and personalization engines use GeminiDB when they require fast reading and writing of data and high scalability. GeminiDB stores visitor activities, making it easy for analysis tools to access data fast and to generate recommendations.
-Advantages:
+Highlights
With Spark′s big data analysis capabilities, GeminiDB helps companies in the finance sector build risk control systems and mitigate fraud.
-Advantages:
+Highlights
Big Data Analysis: Spark and other big data processing technologies enable real-time fraud detection and prevention.
The default security group rule allows all outgoing data packets. ECSs and GeminiDB instances in the same security group can access each other. After a security group is created, you can create different rules for that security group, which allows you to control access to the GeminiDB instances that in it.
-The following describes how to configure security groups.
+The following describes how to set security groups.
wget https://archive.apache.org/dist/cassandra/3.11.3/apache-cassandra-3.11.3-bin.tar.gz
tar -zxvf apache-cassandra-3.11.3-bin.tar.gz
diff --git a/docs/geminidb/umn/nosql_02_0009.html b/docs/geminidb/umn/nosql_02_0009.html index b045f6d5d..099ffddc7 100644 --- a/docs/geminidb/umn/nosql_02_0009.html +++ b/docs/geminidb/umn/nosql_02_0009.html @@ -4,7 +4,7 @@You can use an ECS or local device to connect to a GeminiDB instance over a public network.
This section describes how to use a Linux ECS to connect to a GeminiDB Cassandra instance over a public network.
wget https://archive.apache.org/dist/cassandra/3.11.3/apache-cassandra-3.11.3-bin.tar.gz
tar -zxvf apache-cassandra-3.11.3-bin.tar.gz
@@ -22,21 +22,21 @@CREATE KEYSPACE IF NOT EXISTS test_keyspace WITH replication = {'class': 'SimpleStrategy', 'replication_factor': '3'};
Set the keyspace name to test_keyspace, replication to SimpleStrategy, and number of replicas to 3.
CREATE TABLE test_table(user_id int, age int, user_name text, PRIMARY KEY(user_id));
+CREATE TABLE test_table(user_id int, age int, user_name text, PRIMARY KEY(user_id));
test_table is a table name defined by the following three columns: user_id, age, and user_name. user_id indicates a user ID of the INT data type. age indicates user age of the INT data type. user_name indicates a username of the TEXT data type. The primary key is user_id.
INSERT INTO test_table (user_id, age, user_name) VALUES (1, 10, 'user1');
INSERT INTO test_table (user_id, age, user_name) VALUES (2, 20, 'user2');
INSERT INTO test_table (user_id, age, user_name) VALUES (3, 30, 'user3');
-UPDATE test_keyspace.test_table SET prename = 'user_prename1' WHERE user_id = 1;
+UPDATE test_keyspace.test_table SET prename = 'user_prename1' WHERE user_id = 1;
UPDATE test_keyspace.test_table SET prename = 'user_prename2' WHERE user_id = 2;
UPDATE test_keyspace.test_table SET prename = 'user_prename3' WHERE user_id = 3;
-Delete the age data of the user whose ID is 1.
DELETE age FROM test_keyspace.test_table WHERE user_id=1;
Delete the entire record of the user whose ID is 2.
DELETE FROM test_keyspace.test_table WHERE user_id=2;
-Method 2
On the Backup Management page, locate the target backup and click Restore.
-A new DB instance is created using the backup data. The status of the DB instance changes from Creating to Available.
After the restoration, the system will perform a full backup.
diff --git a/docs/geminidb/umn/nosql_03_0011.html b/docs/geminidb/umn/nosql_03_0011.html index bb156677b..0cf2da1ec 100644 --- a/docs/geminidb/umn/nosql_03_0011.html +++ b/docs/geminidb/umn/nosql_03_0011.html @@ -372,7 +372,7 @@P75 read latency
Unit: ms
≥ 0 ms
+≥ 0 ms
Monitored object: database
Monitored object: GeminiDB Cassandra instance node
@@ -570,7 +570,7 @@≥ 0 Counts
Monitored object: database
-Monitored object: node of the Kunpeng-based GeminiDB Cassandra instance
+Monitored object: GeminiDB Cassandra instance node
1 minute
Adding tags to GeminiDB instances helps you better identify and manage them. An instance can be tagged during or after it is created.
After an instance is tagged, you can search for the tag key or value to quickly query the instance details.
Only the tag value can be edited when editing a tag.
+Only the tag value can be edited when editing a tag.
This section describes how to change the CPU or memory of your instance to suit your service requirements.
A data definition language (DDL) is a syntax for defining data structures and database objects. Common examples of DDL statements include CREATE, ALTER, and DROP. DDL is used to create, modify, and delete database objects, such as tables, indexes, views, functions, stored procedures, and triggers.
+
A data definition language (DDL) is a syntax for defining data structures and database objects. Common examples of DDL statements include CREATE, ALTER, and DROP. DDL is used to create, modify, and delete database objects, such as tables, indexes, views, functions, stored procedures, and triggers.
Go to the Basic Information page and in the Specifications area you can see the new specifications.
+Go to the Basic Information page and in the Specifications area you can see the new specifications.
Go to the Basic Information page and in the Specifications area you can see the new specifications.
+Go to the Basic Information page and in the Specifications area you can see the new specifications.
Released On +
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