Realtime Compute for Apache Flink:View and manage job status

Prerequisites

If other Alibaba Cloud accounts or Resource Access Management (RAM) users need to use Realtime Compute for Apache Flink, you must grant them the necessary permissions. These permissions allow them to view and manage job status. For more information, see Authorize users in the development console.

View job running status

1. Log on to the Realtime Compute for Apache Flink console.

2. In the Actions column of the target workspace, click Console.

3. In the navigation pane on the left, choose Operation Center > Job O&M.

4. Find the target job and view its status in the Status column.

   The following table describes each job status.

   Category	Status	Description
   Transitional state	Starting	The job is starting.
   Stable	Running	The job is running. Note For a running stream job, the Health Score column shows the job's health. A score less than 100 indicates a potential threat. You can click the health score to run an intelligent diagnosis. This shows the cause of the threat and suggests how to fix it. For more information, see Intelligent job diagnosis.
   	Finished	Batch jobs or bounded stream jobs change to Finished upon completion.
   	Stopped	After you click Stop, the job status changes to Stopped.
   Failed	Failed	The job failed to run. Note A job with a Failed status is diagnosed as an abnormal job.

Manage job status

1. Log on to the Realtime Compute for Apache Flink console.

2. In the Actions column of the target workspace, click Console.

3. In the navigation pane on the left, choose Operation Center > Job O&M and click the name of the target job.

4. As needed, click one of the buttons on the right to manage the job status.

   The following table describes each button.

   Action Name	Description
   Start	Starts the job.
   Stop	Stops the job.
   Create Snapshot	Create a savepoint for the deployment at the current time. For more information, see Manually create a savepoint. Important Configure a snapshot address first. Otherwise, the Savepoint will fail.
   Delete	Deletes the job. You can only delete jobs that are in the Stopped status.