Cluster List
You can quickly view the status of all clusters and jobs by viewing the dashboard information, and obtain relevant MRS documents from Help in the left navigation pane on the MRS console.
MRS is used to manage and analyze massive data. It is easy to use. You can create a cluster and add MapReduce, Spark, and Hive jobs to the cluster to analyze and process user data. After being processed, you can transmit the data in SSL encryption mode to OBS to ensure data integrity and confidentiality.
Cluster Status
Status |
Description |
---|---|
Starting |
If a cluster is being created, the cluster is in the Starting state. |
Running |
If a cluster is successfully created and is running properly, its status is Running. |
Scaling out |
If the Master, Core, or Task node in a cluster is being added, the cluster is in the Scaling out state.
NOTE:
If the cluster scale-out fails, you can add node to the cluster again. |
Scaling in |
If a cluster node is being deleted, the cluster node is in the Scaling in state. This state shows when you scale in or elastically scale in a cluster node, change the OS, or reinstall the OS. |
Abnormal |
If some components in a cluster are abnormal, the cluster is Abnormal. |
Deleting |
If a pay-per-use cluster node is being deleted, the cluster status changes to Deleting. This state is displayed after you click Delete and confirm the deletion. |
Restoring node... |
If a faulty node in the cluster is being recovered, its status is Restoring node.... |
Job Status
Table 2 describes the status of jobs that you execute after logging in to the MRS management console.
Status |
Description |
---|---|
Accepted |
Initial status of a job after it is successfully submitted. |
Running |
A job is being executed. |
Completed |
A job has been executed and completed successfully. |
Terminated |
A job is stopped during execution. |
Abnormal |
An error occurs during job execution or job execution fails. |
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