Obtaining the MRS Cluster Information
Components Supported by MRS
- MRS 3.3.0-LTS supports the following components:
- An analysis cluster contains the following components: Hadoop, Spark, HBase, Hive, Loader, Flink, Oozie, ZooKeeper, HetuEngine, Ranger, Tez, JobGateway, Guardian, and Doris.
- A streaming cluster contains the following components: Kafka, Flume, ZooKeeper, and Ranger.
- A hybrid cluster contains the following components: Hadoop, Spark, HBase, Hive, Loader, Flink, Oozie, ZooKeeper, HetuEngine, Ranger, Tez, Kafka, Flume, JobGateway, Guardian, and Doris.
- A custom cluster contains the following components: Hadoop, Spark, HBase, Hive, IoTDB, Loader, Kafka, Flume, Flink, Oozie, ZooKeeper, HetuEngine, Ranger, Tez, and ClickHouse, Guardian, JobGateway, and Doris.
- 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, Tez, and Guardian.
- 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, Flume, and Guardian.
- A custom cluster contains the following components: CDL, Hadoop, Spark2x, HBase, Hive, Hue, IoTDB, Loader, Kafka, Flume, Flink, Oozie, ZooKeeper, HetuEngine, Ranger, Tez, and ClickHouse, and Guardian.
- MRS 3.1.0 supports the following components:
- An analysis cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, Flink, Oozie, ZooKeeper, Ranger, Tez, Impala, Presto, and Kudu.
- A streaming cluster contains the following components: Kafka, Flume, ZooKeeper, and Ranger.
- A hybrid cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, Flink, Oozie, ZooKeeper, Ranger, Tez, Impala, Presto, Kudu, Kafka, and Flume.
- A custom cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, Kafka, Flume, Flink, Oozie, ZooKeeper, Ranger, Tez, Impala, Presto, ClickHouse, and Kudu.
- MRS 3.0.5 supports the following components:
- An analysis cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, Loader, Flink, Oozie, ZooKeeper, Ranger, Tez, Impala, Presto, Kudu, and Alluxio.
- A streaming cluster contains the following components: Kafka, Storm, Flume, ZooKeeper, and Ranger.
- A hybrid cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, Loader, Flink, Oozie, ZooKeeper, Ranger, Tez, Impala, Presto, Kudu, Alluxio, Kafka, Storm, and Flume.
- A custom cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, Loader, Kafka, Storm, Flume, Flink, Oozie, ZooKeeper, Ranger, Tez, Impala, Presto, ClickHouse, Kudu, and Alluxio.
- MRS 3.0.2-LTS.3 supports the following components:
- An analysis cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, Loader, FTP-Server, Solr, Flink, Oozie, GraphBase, HetuEngine, Ranger, Tez, and Metadata.
- A streaming cluster contains the following components: Kafka, Storm, Flume, Redis, Elasticsearch, and Ranger.
- A hybrid cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, Loader, Kafka, Storm, Flume, FTP-Server, Solr, Redis, Elasticsearch, Flink, Oozie, GraphBase, HetuEngine, Ranger, Tez, and Metadata.
- A custom cluster contains the following components: Hadoop, Spark2x, HBase, Hive, Hue, Loader, Kafka, Storm, Flume, FTP-Server, Solr, Redis, Elasticsearch, Flink, Oozie, GraphBase, HetuEngine, Ranger, Tez, and Metadata.
- MRS 2.1.0 supports the following components:
- An analysis cluster contains the following components: Presto, Hadoop, Spark, HBase, Hive, Hue, Loader, Tez, Impala, Kudu, and Flink.
- A streaming cluster contains the following components: Kafka, KafkaManager, Storm, and Flume.
- A hybrid cluster contains the following components: Presto, Hadoop, Spark, HBase, Hive, Hue, Loader, Tez, Flink, Impala, Kudu, Kafka, KafkaManager, Storm, and Flume
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:
- Log in to the MRS management console.
- Choose Clusters > Active Clusters, and click the name of the cluster to be operated. The cluster details page is displayed.
- 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:
- Log in to the MRS management console.
- Choose Clusters > Active Clusters, and click the name of the cluster to be operated. The cluster details page is displayed.
- Click the Jobs tab and obtain the ID of the job to be operated from the job list.
Parent topic: Appendix
- Components Supported by MRS
- Obtaining a Cluster ID
- Obtaining a Job ID