Help Center/ MapReduce Service/ API Reference (Paris Region)/ Appendix/ Obtaining the MRS Cluster Information
Updated on 2022-12-14 GMT+08:00
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Obtaining the MRS Cluster Information

Components Supported by MRS

  • MRS 3.1.0 supports the following components:
    • The analysis cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, Loader, Flink, Oozie, ZooKeeper, Ranger, Tez, Impala, Presto, Kudu, and Sqoop.
    • The streaming cluster contains the following components: Kafka, Flume, ZooKeeper, and Ranger.
    • The hybrid cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, Loader, Flink, Oozie, ZooKeeper, Ranger, Tez, Impala, Presto, Kudu, Sqoop, Kafka, and Flume.
    • A custom cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, Loader, Kafka, Flume, Flink, Oozie, ZooKeeper, Ranger, Tez, Impala, Presto, ClickHouse, Kudu, and Sqoop.

Obtaining a Cluster ID

A cluster ID (cluster_id) is required for some URLs when an API is called. To obtain a cluster ID, perform the following operations:

  1. Log in to the MRS management console.
  2. Choose Clusters > Active Clusters, and click the name of the cluster to be operated. The cluster details page is displayed.
  3. Click the Dashboard tab and obtain the cluster ID in the Basic Information area.

Obtaining a Job ID

A job ID (job_execution_id) is required for some URLs when an API is called. To obtain a job ID, perform the following operations:

  1. Log in to the MRS management console.
  2. Choose Clusters > Active Clusters, and click the name of the cluster to be operated. The cluster details page is displayed.
  3. Click the Jobs tab and obtain the ID of the job to be operated from the job list.
Parent topic: Appendix