From 84321a2353dbaa579acec6efb2a1cc396ba08b07 Mon Sep 17 00:00:00 2001 From: "Yang, Tong" Date: Tue, 4 Jul 2023 22:09:30 +0000 Subject: [PATCH] MRS API 320-lts.1 version Reviewed-by: Hasko, Vladimir Co-authored-by: Yang, Tong Co-committed-by: Yang, Tong --- docs/mrs/api-ref/ALL_META.TXT.json | 24 +- docs/mrs/api-ref/CLASS.TXT.json | 21 +- docs/mrs/api-ref/mrs_01_9002.html | 4 +- docs/mrs/api-ref/mrs_02_0009.html | 2 +- docs/mrs/api-ref/mrs_02_0014.html | 1247 +++++++++++++++++ docs/mrs/api-ref/mrs_02_0028.html | 7 +- docs/mrs/api-ref/mrs_02_0030.html | 6 +- docs/mrs/api-ref/mrs_02_0031.html | 3 +- docs/mrs/api-ref/mrs_02_0101.html | 10 +- docs/mrs/api-ref/mrs_02_0106.html | 37 +- docs/mrs/api-ref/mrs_02_9003.html | 9 +- .../public_sys-resources/icon-arrowdn.gif | Bin 68 -> 1887 bytes .../public_sys-resources/icon-arrowrt.gif | Bin 70 -> 1890 bytes 13 files changed, 1342 insertions(+), 28 deletions(-) create mode 100644 docs/mrs/api-ref/mrs_02_0014.html diff --git a/docs/mrs/api-ref/ALL_META.TXT.json b/docs/mrs/api-ref/ALL_META.TXT.json index f639205ab..b1a096fc8 100644 --- a/docs/mrs/api-ref/ALL_META.TXT.json +++ b/docs/mrs/api-ref/ALL_META.TXT.json @@ -880,9 +880,19 @@ "githuburl":"" }, { - "uri":"mrs_02_0011.html", + "uri":"mrs_02_0014.html", "product_code":"mrs", "code":"89", + "des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.", + "doc_type":"api", + "kw":"Error Code,Appendix,API Reference", + "title":"Error Code", + "githuburl":"" + }, + { + "uri":"mrs_02_0011.html", + "product_code":"mrs", + "code":"90", "des":"A project ID (project_id) is required for some URLs when an API is called. To obtain a project ID, perform the following operations:Log in to the management console.Click", "doc_type":"api", "kw":"Obtaining a Project ID,Appendix,API Reference", @@ -892,7 +902,7 @@ { "uri":"mrs_02_0016.html", "product_code":"mrs", - "code":"90", + "code":"91", "des":"A domain ID (domain-id) is required for some URLs when an API is called. To obtain an account ID, perform the following operations:Log in to the management console.Click ", "doc_type":"api", "kw":"Obtaining Account ID,Appendix,API Reference", @@ -902,7 +912,7 @@ { "uri":"mrs_02_0091.html", "product_code":"mrs", - "code":"91", + "code":"92", "des":"A cluster ID (cluster_id) is required for some URLs when an API is called. To obtain a cluster ID, perform the following operations:Log in to the MRS management console.C", "doc_type":"api", "kw":"Obtain MRS Cluster Information,Appendix,API Reference", @@ -912,17 +922,17 @@ { "uri":"mrs_02_0106.html", "product_code":"mrs", - "code":"92", + "code":"93", "des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.", "doc_type":"api", - "kw":"Roles and components supported by MRS11,Appendix,API Reference", - "title":"Roles and components supported by MRS11", + "kw":"Roles and components supported by MRS,Appendix,API Reference", + "title":"Roles and components supported by MRS", "githuburl":"" }, { "uri":"mrs_02_9003.html", "product_code":"mrs", - "code":"93", + "code":"94", "des":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.", "doc_type":"api", "kw":"Change History,API Reference", diff --git a/docs/mrs/api-ref/CLASS.TXT.json b/docs/mrs/api-ref/CLASS.TXT.json index b121eae22..19d5fe908 100644 --- a/docs/mrs/api-ref/CLASS.TXT.json +++ b/docs/mrs/api-ref/CLASS.TXT.json @@ -791,6 +791,15 @@ "p_code":"86", "code":"88" }, + { + "desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.", + "product_code":"mrs", + "title":"Error Code", + "uri":"mrs_02_0014.html", + "doc_type":"api", + "p_code":"86", + "code":"89" + }, { "desc":"A project ID (project_id) is required for some URLs when an API is called. To obtain a project ID, perform the following operations:Log in to the management console.Click", "product_code":"mrs", @@ -798,7 +807,7 @@ "uri":"mrs_02_0011.html", "doc_type":"api", "p_code":"86", - "code":"89" + "code":"90" }, { "desc":"A domain ID (domain-id) is required for some URLs when an API is called. To obtain an account ID, perform the following operations:Log in to the management console.Click ", @@ -807,7 +816,7 @@ "uri":"mrs_02_0016.html", "doc_type":"api", "p_code":"86", - "code":"90" + "code":"91" }, { "desc":"A cluster ID (cluster_id) is required for some URLs when an API is called. To obtain a cluster ID, perform the following operations:Log in to the MRS management console.C", @@ -816,16 +825,16 @@ "uri":"mrs_02_0091.html", "doc_type":"api", "p_code":"86", - "code":"91" + "code":"92" }, { "desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.", "product_code":"mrs", - "title":"Roles and components supported by MRS11", + "title":"Roles and components supported by MRS", "uri":"mrs_02_0106.html", "doc_type":"api", "p_code":"86", - "code":"92" + "code":"93" }, { "desc":"HUAWEI CLOUD Help Center presents technical documents to help you quickly get started with HUAWEI CLOUD services. The technical documents include Service Overview, Price Details, Purchase Guide, User Guide, API Reference, Best Practices, FAQs, and Videos.", @@ -834,6 +843,6 @@ "uri":"mrs_02_9003.html", "doc_type":"api", "p_code":"", - "code":"93" + "code":"94" } ] \ No newline at end of file diff --git a/docs/mrs/api-ref/mrs_01_9002.html b/docs/mrs/api-ref/mrs_01_9002.html index c80d09b8a..162650dc7 100644 --- a/docs/mrs/api-ref/mrs_01_9002.html +++ b/docs/mrs/api-ref/mrs_01_9002.html @@ -8,13 +8,15 @@
  • Status Codes
    • +
  • Error Code
    +
  • Obtaining a Project ID
  • Obtaining Account ID
  • Obtain MRS Cluster Information
    • -
  • Roles and components supported by MRS11
    +
  • Roles and components supported by MRS
    • diff --git a/docs/mrs/api-ref/mrs_02_0009.html b/docs/mrs/api-ref/mrs_02_0009.html index 629558147..171686c87 100644 --- a/docs/mrs/api-ref/mrs_02_0009.html +++ b/docs/mrs/api-ref/mrs_02_0009.html @@ -41,7 +41,7 @@

    The following uses a demo project to show how to sign a request and use an HTTP client to send an HTTPS request.

    Download the demo project at https://docs.otc.t-systems.com/en-us/api/apiug/apig-en-api-180328008.html.

    If you do not need the demo project, visit the following URL to download the API Gateway signing SDK:

    -

    https://apig-demo.obs.eu-de.otc.t-systems.com/java/java-sdk-core.zip

    +

    https://apig-demo.obs.eu-de.otc.t-systems.com/java/java-sdk-core.zip

    Decompress the downloaded package and reference the obtained JAR files as dependencies. See the following figure.

    Figure 1 Adding the API Gateway signing SDK
    1. Generate an AK/SK. (If an AK/SK file has already been obtained, skip this step and locate the downloaded AK/SK file. Generally, the file name will be credentials.csv.)

      1. Log in to the management console.
      2. Click the username and choose My Credentials from the drop-down list.
      1. On the My Credentials page, click the Access Keys tab.
      2. Click Add Access Key.
      3. Enter the login password.
      4. Enter the verification code received by email.
      5. Click OK to download the access key.

        Keep the access key secure.

        diff --git a/docs/mrs/api-ref/mrs_02_0014.html b/docs/mrs/api-ref/mrs_02_0014.html new file mode 100644 index 000000000..c061afe9e --- /dev/null +++ b/docs/mrs/api-ref/mrs_02_0014.html @@ -0,0 +1,1247 @@ + + +

        Error Code

        +
        +
        + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

        Status Code

        +

        Error Code

        +

        Error Message

        +

        400

        +

        0171

        +

        Failed to collect job log details.

        +

        400

        +

        12000002

        +

        The parameter is invalid.

        +

        400

        +

        12000003

        +

        The cluster does not exist.

        +

        400

        +

        12000009

        +

        The parameter is invalid.

        +

        400

        +

        12000012

        +

        Tasks are being executed in the cluster. Subcontract period cluster is not allowed for clusters that are in this state. Scale-out or scale-in is not allowed for clusters that are not in the running state.

        +

        400

        +

        12000013

        +

        Failed to scale in the cluster (ID: xxx). The type and the quantity of nodes to be deleted are xxx and xxx, respectively. The task node does not exist.

        +

        400

        +

        12000014

        +

        Failed to scale out the cluster (ID: xxx). The type and the quantity of nodes to be added are xxx and xxx, respectively.

        +

        400

        +

        12000018

        +

        Scale-out or scale-in cannot be performed again because it is in progress.

        +

        400

        +

        12000019

        +

        Failed to obtain hosts of the cluster.

        +

        400

        +

        12000021

        +

        Clusters in the xxx state cannot be terminated.

        +

        400

        +

        120000212

        +

        Failed to obtain the AZs that you have permission to access.

        +

        400

        +

        12000023

        +

        Failed to obtain cluster details.

        +

        400

        +

        12000027

        +

        Failed to verify the subnet when creating the cluster xxx.

        +

        400

        +

        12000028

        +

        The cluster has a maximum of xxx Core and Task nodes.

        +

        400

        +

        12000029

        +

        Failed to obtain the quota.

        +

        400

        +

        12000030

        +

        The requested number of nodes in the cluster exceeds the available quota.

        +

        400

        +

        12000031

        +

        The requested number of vCPUs in the cluster exceeds the available quota.

        +

        400

        +

        12000032

        +

        The requested memory of the cluster exceeds the available quota.

        +

        400

        +

        12000033

        +

        The requested number of disks in the cluster exceeds the available quota.

        +

        400

        +

        12000034

        +

        The requested disk capacity of the cluster exceeds the available quota.

        +

        400

        +

        12000036

        +

        Failed to obtain product information.

        +

        400

        +

        12000038

        +

        Failed to obtain the security group.

        +

        400

        +

        12000041

        +

        Failed to obtain the cluster list.

        +

        400

        +

        12000042

        +

        Failed to create a cluster.

        +

        400

        +

        12000043

        +

        Duplicate cluster name: xxx.

        +

        400

        +

        12000044

        +

        The minimum memory of a Master node is xxx GB.

        +

        400

        +

        12000045

        +

        Insufficient quota of the security group.

        +

        400

        +

        12000046

        +

        Insufficient quota of the security group rule.

        +

        400

        +

        12000048

        +

        Product specification xxx does not exist.

        +

        400

        +

        12000050

        +

        Incorrect certificate.

        +

        400

        +

        12000052

        +

        No access rights.

        +

        400

        +

        12000053

        +

        Invalid billing type.

        +

        400

        +

        12000054

        +

        The operation is not supported.

        +

        400

        +

        12000059

        +

        Key pair xxx does not exist.

        +

        400

        +

        12000061

        +

        Failed to submit the job (cluster ID: xxx; job name: xxx; job ID: xxx).

        +

        400

        +

        12000062

        +

        Jobs cannot be submitted to a cluster in the xxx state.

        +

        400

        +

        12000063

        +

        Spark jobs cannot be submitted.

        +

        400

        +

        12000064

        +

        Jobs cannot be submitted or inquired to a security cluster by API.

        +

        400

        +

        12000080

        +

        The status of some nodes is not running in the cluster. Try again later.

        +

        400

        +

        12000081

        +

        The jar_path parameter cannot be left blank if the job type is MapReduce or Spark.

        +

        400

        +

        12000082

        +

        Node groups cannot be deleted in the cluster that is being scaled in or scaled out.

        +

        400

        +

        12000085

        +

        This interface does not support the cluster of this version.Please use the /v2/{project_id}/clusters/{cluster_id}/job-executions job submit interface.

        +

        400

        +

        12000086

        +

        This cluster version not support s3[an]: schema. Please use the obs: schema.

        +

        400

        +

        12000087

        +

        Failed to get billing records.

        +

        400

        +

        12000090

        +

        Products of the xxx specifications are no longer available in selected AZ.

        +

        400

        +

        12000092

        +

        Failed to get metadata of version xxx.

        +

        400

        +

        12000093

        +

        Metadata of version xxx not found.

        +

        400

        +

        12000094

        +

        The xxx in xxx version does not support the xxx flavor.

        +

        400

        +

        12000095

        +

        Patch xxx is unavailable.

        +

        400

        +

        12000099

        +

        Topology template of version xxx not found.

        +

        400

        +

        12000100

        +

        Failed to stop the cluster. Only running or abnormal clusters can be stopped.

        +

        400

        +

        12000101

        +

        Failed to start the cluster. Only stopped clusters can be started.

        +

        400

        +

        12000104

        +

        VPC|ECS|DSS|DCC|OpenStack service error.

        +

        400

        +

        12000105

        +

        VPC xxx does not exist.

        +

        400

        +

        12000106

        +

        Key pair xxx does not exist.

        +

        400

        +

        12000107

        +

        Invalid project ID: xxx.

        +

        400

        +

        12000108

        +

        Failed to verify the EIP when creating the cluster xxx.

        +

        400

        +

        12000109

        +

        Failed to bind the EIP to cluster xxx.

        +

        400

        +

        12000110

        +

        Failed to unbind the EIP from cluster xxx.

        +

        400

        +

        12000111

        +

        Failed to bind the EIP. The EIP xxx has been bound to another resource.

        +

        400

        +

        12000112

        +

        The EIP xxx does not exist.

        +

        400

        +

        12000113

        +

        Failed to update the EIP.

        +

        400

        +

        12000114

        +

        The hive_script_path parameter cannot be left blank if the job type is Hive or SparkScript.

        +

        400

        +

        12000115

        +

        The ECS group quota is insufficient.

        +

        400

        +

        12000116

        +

        The VPC quota is insufficient. Select the existing VPC or increase the quota.

        +

        400

        +

        12000117

        +

        The subnet quota is insufficient. Select the existing subnet or increase the quota.

        +

        400

        +

        12000118

        +

        Failed to create the security group rule.

        +

        400

        +

        12000119

        +

        The security group rule already exists.

        +

        400

        +

        12000121

        +

        Failed to submit a request to scale out the Yearly/Monthly cluster. Scale-out is not allowed because the cluster has an unpaid order. Scale out the cluster again after you pay the order.

        +

        400

        +

        12000122

        +

        EPS service error.

        +

        400

        +

        12000123

        +

        Failed to update Task node information because the number of Task nodes is not 0.

        +

        400

        +

        12000124

        +

        In the cluster xxx, the number of Task nodes can be adjusted only using auto scaling.

        +

        400

        +

        12000125

        +

        Failed to update Task node information, because the cluster state is scaling out or scaling in.

        +

        400

        +

        12000126

        +

        Failed to obtain authentication information.

        +

        400

        +

        12000127

        +

        Failed to lock cluster operation.

        +

        400

        +

        12000128

        +

        Failed to unlock cluster operation.

        +

        400

        +

        12000129

        +

        Master node specifications cannot be scaled up for a cluster that is not in the running state.

        +

        400

        +

        12000130

        +

        Specifications available for scale-up not found.

        +

        400

        +

        12000131

        +

        Master node specifications cannot be scaled up for a non-HA cluster.

        +

        400

        +

        12000132

        +

        vCPUs and memory cannot be reduced in the specification scale-up.

        +

        400

        +

        12000133

        +

        Specification scale-up is not available for this type of nodes.

        +

        400

        +

        12000134

        +

        Failed to scale up the Master node specifications.

        +

        400

        +

        12000135

        +

        Master nodes available for specification scale-up not found

        +

        400

        +

        12000138

        +

        Failed to get max server Group members.

        +

        400

        +

        12000139

        +

        All evs volume type is sellout, please try again later.

        +

        400

        +

        12000140

        +

        Evs volume type:xxx is sellout, please try again later.

        +

        400

        +

        12000141

        +

        The disk size of a node cannot be less than {value} GB.

        +

        400

        +

        12000142

        +

        The disk size cannot exceed 32,000 GB.

        +

        400

        +

        12000209

        +

        Either a VPC ID or name is required.

        +

        400

        +

        12000210

        +

        Either a subnet ID or name is required.

        +

        400

        +

        12000233

        +

        Insufficient resources for flavor xxx. Reduce the purchase quantity and try again. Alternatively, select another instance type or flavor, or switch the AZ or region to select your desired product.

        +

        400

        +

        12000234

        +

        Insufficient resources for the flavor xxx of the node to be scaled out. Reduce the purchase quantity and try again.

        +

        400

        +

        12000360

        +

        Cluster name cannot be updated for a cluster that is in the terminating or terminated state.

        +

        400

        +

        12000361

        +

        Only offline cluster is allowed to modify manager access ip.

        +

        400

        +

        12000362

        +

        Cluster id is already exist or not universally unique identifier format.

        +

        400

        +

        12000363

        +

        The offline cluster with same management node IPs[xxx] already exists.

        +

        400

        +

        12005001

        +

        The number of tags in one cluster must not exceed xxx.

        +

        400

        +

        12005002

        +

        Tag xxx does not comply with the specifications. The tag key and value cannot start or end with a space and cannot contain any of the following characters: =*<>\\,|/.

        +

        400

        +

        13000046

        +

        Security group xxx does not exist.

        +

        400

        +

        MRS.1010

        +

        The RDS instance whose ID is xxx is not found. The status (xxx) of RDS instance xxx is abnormal.

        +

        401

        +

        12000001

        +

        Invalid authentication

        +

        401

        +

        12000136

        +

        Permission denied. Error message: Policy doesn't allow bss:order:update to be performed.

        +

        404

        +

        12000057

        +

        Failed to obtain the file list.

        +

        404

        +

        12005003

        +

        The tag key xxx does not exist in cluster xxx.

        +

        500

        +

        0023

        +

        Failed to obtain cluster details.

        +

        500

        +

        0056

        +

        Jobs cannot be submitted to a cluster in the xxx state.

        +

        500

        +

        0057

        +

        Spark jobs cannot be submitted.

        +

        500

        +

        0093

        +

        Metadata of version xxx not found.

        +

        500

        +

        0160

        +

        Failed to kill the job.

        +

        500

        +

        0161

        +

        Failed to delete jobs in batches.

        +

        500

        +

        0162

        +

        Failed to query the job.

        +

        500

        +

        0165

        +

        Failed to verify the SQL statement.

        +

        500

        +

        0166

        +

        Failed to query a job list.

        +

        500

        +

        0167

        +

        The v2 job API cannot be accessed.

        +

        500

        +

        0168

        +

        Hive jobs cannot be submitted.

        +

        500

        +

        0169

        +

        Flink jobs cannot be submitted.

        +

        500

        +

        0170

        +

        Failed to collect job log directory information.

        +

        500

        +

        0172

        +

        Failed to collect the SQL job result.

        +

        500

        +

        0173

        +

        Failed to submit the job (cluster ID: xxx; job name: xxx).

        +

        500

        +

        0174

        +

        Failed to query the job.

        +

        500

        +

        0175

        +

        Failed to kill the job.

        +

        500

        +

        0176

        +

        The job does not exist.

        +

        500

        +

        0177

        +

        The number of jobs running in each cluster cannot exceed 10.

        +

        500

        +

        0178

        +

        The job ID cannot be left blank.

        +

        500

        +

        0179

        +

        The job type must be SparkSql or SparkScript.

        +

        500

        +

        0180

        +

        The job is being submitted.

        +

        500

        +

        0181

        +

        The SQL job result collection is empty.

        +

        500

        +

        0182

        +

        Failed to read the SQL job result.

        +

        500

        +

        0183

        +

        The job is running.

        +

        500

        +

        0185

        +

        The log type does not exist.

        +

        500

        +

        0187

        +

        The log aggregation path is empty. Logs cannot be queried.

        +

        500

        +

        0188

        +

        The job query result is empty. Logs cannot be obtained.

        +

        500

        +

        0189

        +

        Failed to delete the job list.

        +

        500

        +

        0190

        +

        The user who submits the job cannot be empty.

        +

        500

        +

        0191

        +

        Failed to query the user who submits the job on MRS Manager.

        +

        500

        +

        0192

        +

        The current user does not exist on MRS Manager. Grant the user sufficient permissions on IAM and then perform IAM user synchronization on the Dashboard tab page.

        +

        500

        +

        0193

        +

        Failed to operate the database job records.

        +

        500

        +

        0194

        +

        Failed to start the launcher and submit the job.

        +

        500

        +

        0199

        +

        Failed to delete the jobs.

        +

        500

        +

        0200

        +

        Failed to kill the jobs on Yarn.

        +

        500

        +

        0201

        +

        The job does not exist.

        +

        500

        +

        0202

        +

        Too many jobs are being submitted, please try again later.

        +

        500

        +

        0211

        +

        The maximum number of bound security groups has been reached. A maximum of four security groups can be bound, excluding the default security group that is automatically created.

        +

        500

        +

        12000004

        +

        Internal server error.

        +

        500

        +

        12000020

        +

        Failed to terminate the cluster.

        +

        500

        +

        120000213

        +

        The region [xxx] does not exist.

        +

        500

        +

        120000214

        +

        No permission to access the AZs [xxx]. The following AZs [xxx] can be accessed.

        +

        500

        +

        12000055

        +

        Failed to open the file.

        +

        500

        +

        12000060

        +

        The number of running jobs per cluster cannot exceed xxx.

        +

        500

        +

        12000068

        +

        If the job type is Hive or Spark Script, the value of the mains should not be left blank.

        +

        500

        +

        12000069

        +

        If the job type is MapReduce or Spark, the value of the libs should not be left blank.

        +

        500

        +

        12000070

        +

        An error occurred while accessing Knox.

        +

        500

        +

        12000071

        +

        The Executor server has an internal error.

        +

        500

        +

        12000073

        +

        Failed to access the HDFS directory.

        +

        500

        +

        12000102

        +

        Failed to stop the cluster.

        +

        500

        +

        12000103

        +

        Failed to start the cluster.

        +

        500

        +

        12000154

        +

        IAM synchronization is in progress and cannot be triggered again in the same cluster. Cluster ID: xxx

        +

        500

        +

        12000156

        +

        Failed to query Iam group

        +

        500

        +

        12000157

        +

        Failed to query Iam user or role

        +

        500

        +

        12000163

        +

        Failed to query Manager user.

        +

        500

        +

        12000164

        +

        Failed to query Manager user group.

        +

        500

        +

        130000002

        +

        The token is invalid.

        +

        500

        +

        MRS.0010

        +

        Dataconnector error.

        +

        500

        +

        MRS.0011

        +

        SQL typed xxx can not run on the cluster which not installed dependent components. Cannot execute SQL on a cluster in the xxx state. Not support sql execution in cluster version xxx. Request with multiple SQL is not support. Failed to submit the SQL request to Executor (cluster ID: xxx).

        +

        500

        +

        MRS.0205

        +

        Failed to sync agency mapping configuration to cluster.

        +

        500

        +

        MRS.0206

        +

        Updating agency mapping task is running.

        +

        500

        +

        MRS.0207

        +

        Parse Json format failed.

        +

        500

        +

        MRS.0208

        +

        Create or modify policy failed.

        +

        500

        +

        MRS.0209

        +

        Assign policy to agency failed.

        +

        500

        +

        MRS.0210

        +

        No secu_admin policy.

        +

        500

        +

        MRS.0211

        +

        Failed to obtain new agency or new agency does not exist.

        +

        500

        +

        MRS.0212

        +

        Updating ECS agency task is running.

        +

        500

        +

        MRS.0216

        +

        Failed to update ECS metadata.

        +

        500

        +

        MRS.0217

        +

        Failed to unbind policy.

        +

        500

        +

        MRS.0218

        +

        Failed to check whether policies are exist or not.

        +
        +
        +
        +
        +
        +
        Parent topic: Appendix
        +
        +
        + diff --git a/docs/mrs/api-ref/mrs_02_0028.html b/docs/mrs/api-ref/mrs_02_0028.html index 7322f1f82..a916479da 100644 --- a/docs/mrs/api-ref/mrs_02_0028.html +++ b/docs/mrs/api-ref/mrs_02_0028.html @@ -33,12 +33,13 @@

        Version

        -

        Currently, the following versions are supported: MRS 1.6.3, MRS 1.7.2, MRS 1.9.2, MRS 2.1.0, MRS 3.1.0-LTS.1 and MRS 3.1.2-LTS.3.

        +

        Currently, the following versions are supported: MRS 1.6.3, MRS 1.7.2, MRS 1.9.2, MRS 2.1.0, MRS 3.1.0-LTS.1, MRS 3.1.2-LTS.3 and MRS3.2.0-LTS.1.

        Component

        -
        • MRS 3.1.2-LTS.3 supports the following components:
          • The analysis cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, HetuEngine, Loader, Flink, Oozie, ZooKeeper, Ranger, and Tez.
          • The streaming cluster contains the following components: Kafka, Flume, ZooKeeper, and Ranger.
          • The hybrid cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, HetuEngine, Loader, Flink, Oozie, ZooKeeper, Ranger, Tez, Kafka, and Flume.
          • A custom cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, HetuEngine, Loader, Kafka, Flume, Flink, Oozie, ZooKeeper, Ranger, Tez, and ClickHouse.
          + +
          • MRS 3.1.2-LTS.3 supports the following components:
            • The analysis cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, HetuEngine, Loader, Flink, Oozie, ZooKeeper, Ranger, and Tez.
            • The streaming cluster contains the following components: Kafka, Flume, ZooKeeper, and Ranger.
            • The hybrid cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, HetuEngine, Loader, Flink, Oozie, ZooKeeper, Ranger, Tez, Kafka, and Flume.
            • A custom cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, HetuEngine, Loader, Kafka, Flume, Flink, Oozie, ZooKeeper, Ranger, Tez, and ClickHouse.
          • MRS 3.1.0-LTS.1 supports the following components:
            • The analysis cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, HetuEngine, Loader, Flink, Oozie, ZooKeeper, Ranger, and Tez.
            • The streaming cluster contains the following components: Kafka, Flume, ZooKeeper, and Ranger.
            • The hybrid cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, HetuEngine, Loader, Flink, Oozie, ZooKeeper, Ranger, Tez, Kafka, and Flume.
            • A custom cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, HetuEngine, Loader, Kafka, Flume, Flink, Oozie, ZooKeeper, Ranger, and Tez.
          • MRS 2.1.0 supports the following components:
            • The analysis cluster contains the following components: Presto, Hadoop, Spark, HBase, Hive, Hue, Loader, Tez, Flink.
            • The streaming cluster contains the following components: Kafka, Storm, and Flume.
            • The hybrid cluster contains the following components: Hadoop, Hive, Presto, Spark, Tez, and Flink.
          • MRS 1.9.2 supports the following components:
            • The analysis cluster contains the following components: Presto, Hadoop, Spark, HBase, Opentsdb, Hive, Hue, Loader, Tez, Flink, Alluxio and Ranger
            • The streaming cluster contains the following components: Kafka, KafkaManager, Storm, and Flume.
            • The hybrid cluster contains the following components: Hadoop, Hive, Presto, Spark, Tez, Kafka, Flink, and Ranger.
            @@ -197,7 +198,7 @@

            Cluster version

            Possible values are as follows:

            -
            • MRS 1.6.3
            • MRS 1.7.2
            • MRS 1.9.2
            • MRS 2.1.0
            • MRS 3.1.0-LTS.1
            • MRS 3.1.2-LTS.3
            +
            • MRS 1.6.3
            • MRS 1.7.2
            • MRS 1.9.2
            • MRS 2.1.0
            • MRS 3.1.0-LTS.1
            • MRS 3.1.2-LTS.3
            • MRS 3.2.0-LTS.1

            cluster_type

            diff --git a/docs/mrs/api-ref/mrs_02_0030.html b/docs/mrs/api-ref/mrs_02_0030.html index e5da007d5..47332eadf 100644 --- a/docs/mrs/api-ref/mrs_02_0030.html +++ b/docs/mrs/api-ref/mrs_02_0030.html @@ -517,9 +517,11 @@

            String

            Component ID

            -
            • Component IDs of MRS 3.2.0-LTS.3 are as follows:
              • MRS 3.2.0-LTS.3_001: Hadoop
              • MRS 3.2.0-LTS.3_002: HBase
              • MRS 3.2.0-LTS.3_003: Hive
              • MRS 3.2.0-LTS.3_004: Spark2x
              • MRS 3.2.0-LTS.3_006: Flink
              • MRS 3.2.0-LTS.3_008: Kafka
              • MRS 3.2.0-LTS.3_009: Flume
              • MRS 3.2.0-LTS.3_013: Loader
              • MRS 3.2.0-LTS.3_014: Hue
              • MRS 3.2.0-LTS.3_015: Ooize
              • MRS 3.2.0-LTS.3_018: DBService
              • MRS 3.2.0-LTS.3_019: ZooKeeper
              • MRS 3.2.0-LTS.3_022: Ranger
              • MRS 3.2.0-LTS.3_023: HetuEngine
              • MRS 3.2.0-LTS.3_024: Tez
              • MRS 3.2.0-LTS.3_025: ClickHouse
              +
              • Component IDs of MRS 3.2.0-LTS.1 are as follows:
                • MRS 3.2.0-LTS.1_001: Hadoop
                • MRS 3.2.0-LTS.1_002: HBase
                • MRS 3.2.0-LTS.1_003: Hive
                • MRS 3.2.0-LTS.1_004: Spark2x
                • MRS 3.2.0-LTS.1_006: Flink
                • MRS 3.2.0-LTS.1_008: Kafka
                • MRS 3.2.0-LTS.1_009: Flume
                • MRS 3.2.0-LTS.1_013: Loader
                • MRS 3.2.0-LTS.1_014: Hue
                • MRS 3.2.0-LTS.1_015: Ooize
                • MRS 3.2.0-LTS.1_018: DBService
                • MRS 3.2.0-LTS.1_019: ZooKeeper
                • MRS 3.2.0-LTS.1_022: Ranger
                • MRS 3.2.0-LTS.1_023: HetuEngine
                • MRS 3.2.0-LTS.1_024: Tez
                • MRS 3.2.0-LTS.1_025: ClickHouse
                • MRS 3.2.0-LTS.1_026: CDL
                • MRS 3.2.0-LTS.1_027: IoTDB
              -
              • Component IDs of MRS 3.1.0-LTS.1 are as follows:
                • MRS 3.1.0-LTS.1_001: Hadoop
                • MRS 3.1.0-LTS.1_002: HBase
                • MRS 3.1.0-LTS.1_003: Hive
                • MRS 3.1.0-LTS.1_004: Spark2x
                • MRS 3.1.0-LTS.1_006: Flink
                • MRS 3.1.0-LTS.1_008: Kafka
                • MRS 3.1.0-LTS.1_009: Flume
                • MRS 3.1.0-LTS.1_013: Loader
                • MRS 3.1.0-LTS.1_014: Hue
                • MRS 3.1.0-LTS.1_015: Ooize
                • MRS 3.1.0-LTS.1_018: DBService
                • MRS 3.1.0-LTS.1_019: ZooKeeper
                • MRS 3.1.0-LTS.1_022: Ranger
                • MRS 3.1.0-LTS.1_023: HetuEngine
                • MRS 3.2.0-LTS.3_024: Tez
                +
                • Component IDs of MRS 3.1.2-LTS.3 are as follows:
                  • MRS 3.1.2-LTS.3_001: Hadoop
                  • MRS 3.1.2-LTS.3_002: HBase
                  • MRS 3.1.2-LTS.3_003: Hive
                  • MRS 3.1.2-LTS.3_004: Spark2x
                  • MRS 3.1.2-LTS.3_006: Flink
                  • MRS 3.1.2-LTS.3_008: Kafka
                  • MRS 3.1.2-LTS.3_009: Flume
                  • MRS 3.1.2-LTS.3_013: Loader
                  • MRS 3.1.2-LTS.3_014: Hue
                  • MRS 3.1.2-LTS.3_015: Ooize
                  • MRS 3.1.2-LTS.3_018: DBService
                  • MRS 3.1.2-LTS.3_019: ZooKeeper
                  • MRS 3.1.2-LTS.3_022: Ranger
                  • MRS 3.1.2-LTS.3_023: HetuEngine
                  • MRS 3.1.2-LTS.3_024: Tez
                  • MRS 3.1.2-LTS.3_025: ClickHouse
                  +
                +
                • Component IDs of MRS 3.1.0-LTS.1 are as follows:
                  • MRS 3.1.0-LTS.1_001: Hadoop
                  • MRS 3.1.0-LTS.1_002: HBase
                  • MRS 3.1.0-LTS.1_003: Hive
                  • MRS 3.1.0-LTS.1_004: Spark2x
                  • MRS 3.1.0-LTS.1_006: Flink
                  • MRS 3.1.0-LTS.1_008: Kafka
                  • MRS 3.1.0-LTS.1_009: Flume
                  • MRS 3.1.0-LTS.1_013: Loader
                  • MRS 3.1.0-LTS.1_014: Hue
                  • MRS 3.1.0-LTS.1_015: Ooize
                  • MRS 3.1.0-LTS.1_018: DBService
                  • MRS 3.1.0-LTS.1_019: ZooKeeper
                  • MRS 3.1.0-LTS.1_022: Ranger
                  • MRS 3.1.0-LTS.1_023: HetuEngine
                  • MRS 3.1.2-LTS.3_024: Tez
                • Component IDs of MRS 2.1.0 are as follows:
                  • MRS 2.1.0_001: Hadoop
                  • MRS 2.1.0_002: Spark
                  • MRS 2.1.0_003: HBase
                  • MRS 2.1.0_004: Hive
                  • MRS 2.1.0_005: Hue
                  • MRS 2.1.0_006: Kafka
                  • MRS 2.1.0_007: Storm
                  • MRS 2.1.0_008: Loader
                  • MRS 2.1.0_009: Flume
                  • MRS 2.1.0_010: Tez
                  • MRS 2.1.0_011: Presto
                  • MRS 2.1.0_014: Flink
                diff --git a/docs/mrs/api-ref/mrs_02_0031.html b/docs/mrs/api-ref/mrs_02_0031.html index bcad922c9..1786bcccf 100644 --- a/docs/mrs/api-ref/mrs_02_0031.html +++ b/docs/mrs/api-ref/mrs_02_0031.html @@ -486,7 +486,8 @@

                String

                Component ID

                -
                • Component IDs of MRS 3.1.2-LTS.3 are as follows:
                  • MRS 3.1.2-LTS.3_001: Hadoop
                  • MRS 3.1.2-LTS.3_002: Spark2x
                  • MRS 3.1.2-LTS.3_003: HBase
                  • MRS 3.1.2-LTS.3_004: Hive
                  • MRS 3.1.2-LTS.3_005: Hue
                  • MRS 3.1.2-LTS.3_006: Loader
                  • MRS 3.1.2-LTS.3_007: Kafka
                  • MRS 3.1.2-LTS.3_008: Flume
                  • MRS 3.1.2-LTS.3_009: FTP-Server
                  • MRS 3.1.2-LTS.3_010: Solr
                  • MRS 3.1.2-LTS.3_010: Redis
                  • MRS 3.1.2-LTS.3_011: Elasticsearch
                  • MRS 3.1.2-LTS.3_012: Flink
                  • MRS 3.1.2-LTS.3_013: Oozie
                  • MRS 3.1.2-LTS.3_014: GraphBase
                  • MRS 3.1.2-LTS.3_015: ZooKeeper
                  • MRS 3.1.2-LTS.3_016: HetuEngine
                  • MRS 3.1.2-LTS.3_017: Ranger
                  • MRS 3.1.2-LTS.3_018: Tez
                  • MRS 3.1.2-LTS.3_019: ClickHouse
                  • MRS 3.1.2-LTS.3_020: Metadata
                  • MRS 3.1.2-LTS.3_021: KMS
                  +
                  • Component IDs of MRS 3.2.0-LTS.1 are as follows:
                    • MRS 3.2.0-LTS.1_001: Hadoop
                    • MRS 3.2.0-LTS.1_002: HBase
                    • MRS 3.2.0-LTS.1_003: Hive
                    • MRS 3.2.0-LTS.1_004: Spark2x
                    • MRS 3.2.0-LTS.1_006: Flink
                    • MRS 3.2.0-LTS.1_008: Kafka
                    • MRS 3.2.0-LTS.1_009: Flume
                    • MRS 3.2.0-LTS.1_013: Loader
                    • MRS 3.2.0-LTS.1_014: Hue
                    • MRS 3.2.0-LTS.1_015: Ooize
                    • MRS 3.2.0-LTS.1_018: DBService
                    • MRS 3.2.0-LTS.1_019: ZooKeeper
                    • MRS 3.2.0-LTS.1_022: Ranger
                    • MRS 3.2.0-LTS.1_023: HetuEngine
                    • MRS 3.2.0-LTS.1_024: Tez
                    • MRS 3.2.0-LTS.1_025: ClickHouse
                    • MRS 3.2.0-LTS.1_026: CDL
                    • MRS 3.2.0-LTS.1_027: IoTDB
                    +
                  • Component IDs of MRS 3.1.2-LTS.3 are as follows:
                    • MRS 3.1.2-LTS.3_001: Hadoop
                    • MRS 3.1.2-LTS.3_002: HBase
                    • MRS 3.1.2-LTS.3_003: Hive
                    • MRS 3.1.2-LTS.3_004: Spark2x
                    • MRS 3.1.2-LTS.3_006: Flink
                    • MRS 3.1.2-LTS.3_008: Kafka
                    • MRS 3.1.2-LTS.3_009: Flume
                    • MRS 3.1.2-LTS.3_013: Loader
                    • MRS 3.1.2-LTS.3_014: Hue
                    • MRS 3.1.2-LTS.3_015: Ooize
                    • MRS 3.1.2-LTS.3_018: DBService
                    • MRS 3.1.2-LTS.3_019: ZooKeeper
                    • MRS 3.1.2-LTS.3_022: Ranger
                    • MRS 3.1.2-LTS.3_023: HetuEngine
                    • MRS 3.1.2-LTS.3_024: Tez
                    • MRS 3.1.2-LTS.3_025: ClickHouse
                  • Component IDs of MRS 3.1.0-LTS.1 are as follows:
                    • MRS 3.1.0-LTS.1_001: Hadoop
                    • MRS 3.1.0-LTS.1_002: Spark2x
                    • MRS 3.1.0-LTS.1_003: HBase
                    • MRS 3.1.0-LTS.1_004: Hive
                    • MRS 3.1.0-LTS.1_005: Hue
                    • MRS 3.1.0-LTS.1_006: Loader
                    • MRS 3.1.0-LTS.1_007: Kafka
                    • MRS 3.1.0-LTS.1_008: Flume
                    • MRS 3.1.0-LTS.1_009: Flink
                    • MRS 3.1.0-LTS.1_010: Oozie
                    • MRS 3.1.0-LTS.1_011: ZooKeeper
                    • MRS 3.1.0-LTS.1_012: HetuEngine
                    • MRS 3.1.0-LTS.1_013: Ranger
                    • MRS 3.1.0-LTS.1_014: Tez
                    • MRS 3.1.0-LTS.1_015: ClickHouse
                  • Component IDs of MRS 2.1.0 are as follows:
                    • MRS 2.1.0_001: Hadoop
                    • MRS 2.1.0_002: Spark
                    • MRS 2.1.0_003: HBase
                    • MRS 2.1.0_004: Hive
                    • MRS 2.1.0_005: Hue
                    • MRS 2.1.0_006: Kafka
                    • MRS 2.1.0_007: Storm
                    • MRS 2.1.0_008: Loader
                    • MRS 2.1.0_009: Flume
                    • MRS 2.1.0_010: Tez
                    • MRS 2.1.0_011: Presto
                    • MRS 2.1.0_014: Flink
                    diff --git a/docs/mrs/api-ref/mrs_02_0101.html b/docs/mrs/api-ref/mrs_02_0101.html index cacd4c587..7bea7eb03 100644 --- a/docs/mrs/api-ref/mrs_02_0101.html +++ b/docs/mrs/api-ref/mrs_02_0101.html @@ -32,12 +32,14 @@

                    Version

                    -

                    Currently, MRS 1.6.3, MRS 1.7.2, MRS 1.9.2 MRS 2.1.0, MRS 3.1.0-LTS.1 and MRS 3.1.2-LTS.3 are supported.

                    +

                    Currently, MRS 1.6.3, MRS 1.7.2, MRS 1.9.2 MRS 2.1.0, MRS 3.1.0-LTS.1, MRS 3.1.2-LTS.3 and MRS3.2.0-LTS.1 are supported.

                    Component

                    -
                    • MRS 3.1.2-LTS.3 supports the following components:
                      • The analysis cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, HetuEngine, Loader, Flink, Oozie, ZooKeeper, Ranger, and Tez.
                      • The streaming cluster contains the following components: Kafka, Flume, ZooKeeper, and Ranger.
                      • The hybrid cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, HetuEngine, Loader, Flink, Oozie, ZooKeeper, Ranger, Tez, Kafka, and Flume.
                      • A custom cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, HetuEngine, Loader, Kafka, Flume, Flink, Oozie, ZooKeeper, Ranger, Tez, and ClickHouse.
                      +
                      • MRS 3.2.0-LTS.1 supports the following components:
                        • An analysis cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, Loader, Flink, Oozie, ZooKeeper, HetuEngine, Ranger, and Tez.
                        • A streaming cluster contains the following components: Kafka, Flume, ZooKeeper, and Ranger.
                        • A hybrid cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, Loader, Flink, Oozie, ZooKeeper, HetuEngine, Ranger, Tez, Kafka, and Flume.
                        +
                        • A custom cluster contains the following components: CDL, Hadoop, Spark2x, HBase, Hive, Hue, Loader, IoTDB, Kafka, Flume, Flink, Oozie, ZooKeeper, HetuEngine, Ranger, Tez, and ClickHouse.
                        +
                      • MRS 3.1.2-LTS.3 supports the following components:
                        • The analysis cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, HetuEngine, Loader, Flink, Oozie, ZooKeeper, Ranger, and Tez.
                        • The streaming cluster contains the following components: Kafka, Flume, ZooKeeper, and Ranger.
                        • The hybrid cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, HetuEngine, Loader, Flink, Oozie, ZooKeeper, Ranger, Tez, Kafka, and Flume.
                        • A custom cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, HetuEngine, Loader, Kafka, Flume, Flink, Oozie, ZooKeeper, Ranger, Tez, and ClickHouse.
                      • MRS 3.1.0-LTS.1 supports the following components:
                        • The analysis cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, HetuEngine, Loader, Flink, Oozie, ZooKeeper, Ranger, and Tez.
                        • The streaming cluster contains the following components: Kafka, Flume, ZooKeeper, and Ranger.
                        • The hybrid cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, HetuEngine, Loader, Flink, Oozie, ZooKeeper, Ranger, Tez, Kafka, and Flume.
                        • A custom cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, HetuEngine, Loader, Kafka, Flume, Flink, Oozie, ZooKeeper, Ranger, and Tez.
                      • MRS 2.1.0 supports the following components:
                        • The analysis cluster contains the following components: Presto, Hadoop, Spark, HBase, Hive, Hue, Loader, Tez, Flink.
                        • The streaming cluster contains the following components: Kafka, Storm, and Flume.
                        • The hybrid cluster contains the following components: Hadoop, Hive, Presto, Spark, Tez, and Flink.
                      • MRS 1.9.2 supports the following components:
                        • The analysis cluster contains the following components: Presto, Hadoop, Spark, HBase, Opentsdb, Hive, Hue, Loader, Tez, Flink, Alluxio and Ranger
                        • The streaming cluster contains the following components: Kafka, KafkaManager, Storm, and Flume.
                        • The hybrid cluster contains the following components: Hadoop, Hive, Presto, Spark, Tez, Kafka, Flink, and Ranger.
                        @@ -90,7 +92,7 @@

                        Cluster version.

                        Possible values are as follows:

                        -
                        • MRS 1.6.3
                        • MRS 1.7.2
                        • MRS 1.9.2
                        • MRS 2.1.0
                        • MRS 3.1.0-LTS.1
                        • MRS 3.1.2-LTS.3
                        +
                        • MRS 1.6.3
                        • MRS 1.7.2
                        • MRS 1.9.2
                        • MRS 2.1.0
                        • MRS 3.1.0-LTS.1
                        • MRS 3.1.2-LTS.3
                        • MRS 3.2.1-LTS.1

                        cluster_name

                        @@ -447,7 +449,7 @@

                        When the cluster type is CUSTOM, this parameter is mandatory. You can specify the roles deployed in the node group. This parameter is a string array. Each string represents a role expression.

                        Role expression definition:

                        • If the role is deployed on all nodes in the node group, set this parameter to <role name>, for example, DataNode.
                        • If the role is deployed on a specified subscript node in the node group: <role name>:<index1>,<index2>..., <indexN>, for example, NameNode:1,2. The subscript starts from 1.
                        • Some roles support multi-instance deployment (that is, multiple instances of the same role are deployed on a node): <role name>[<instance count>], for example, EsNode[9].
                        -

                        For details about available roles, see Roles and components supported by MRS11.

                        +

                        For details about available roles, see Roles and components supported by MRS.

                        diff --git a/docs/mrs/api-ref/mrs_02_0106.html b/docs/mrs/api-ref/mrs_02_0106.html index 66ec9c34f..f4e8f0cc7 100644 --- a/docs/mrs/api-ref/mrs_02_0106.html +++ b/docs/mrs/api-ref/mrs_02_0106.html @@ -1,6 +1,6 @@ -

                        Roles and components supported by MRS11

                        +

                        Roles and components supported by MRS

                        @@ -218,6 +218,41 @@ + + + + + + + + + + + + + + + + + + + + +
                        Table 1 Roles and components supported by MRS

                        Role Name

                        Ranger

                        HSBroker

                        +

                        HetuEngine

                        +

                        HSConsole

                        +

                        HetuEngine

                        +

                        QAS

                        +

                        HetuEngine

                        +

                        CDLConnector

                        +

                        CDL

                        +

                        CDLService

                        +

                        CDL

                        +

                        IoTDBServer

                        +

                        IoTDB

                        +

                        ConfigNode

                        +

                        IoTDB

                        +
                        diff --git a/docs/mrs/api-ref/mrs_02_9003.html b/docs/mrs/api-ref/mrs_02_9003.html index 4702f915a..291b3bd84 100644 --- a/docs/mrs/api-ref/mrs_02_9003.html +++ b/docs/mrs/api-ref/mrs_02_9003.html @@ -8,10 +8,15 @@ -

                        2022-9-29

                        +

                        2023-05-04

                        + + + + +

                        2022-9-29

                        Modified the following content:

                        - +
                        • Added MRS 1.9.2 and MRS 2.1.0 hybrid cluster components. For details, see Creating Clusters.
                        • Add component lists for MRS 3.1.2-LTS.3 and 3.1.0-LTS.1. For details, see Querying Cluster Details.
                        • Rectified the ECS specification issue.

                        2022-07-05

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