The Jobs page of the DB Console provides details about long-running tasks performed by your cluster. These can include:
- Schema changes through
DROP TABLE, and
- User-created table statistics created for use by the cost-based optimizer.
- Automatic table statistics.
All users can see their own jobs, and
admin users can view all jobs performed across all nodes in the cluster.
To view these details, access the DB Console and click Jobs in the left-hand navigation.
Use the Status menu to filter jobs by job status.
Use the Type menu to filter jobs by type.
You can toggle between showing the latest 50 jobs or all jobs on the cluster.
Jobs are deleted every 14 days. This interval can be changed via the
jobs.retention_time cluster setting.
The Jobs list is designed for you to manage pending work. It is not intended to display the canonical record of all jobs that have run. If you need a historical record of all jobs you have run, you should log this information externally.
Use the Jobs list to see your recently created and completed jobs.
For changefeeds, the table displays a high-water timestamp that advances as the changefeed progresses. This is a guarantee that all changes before or at the timestamp have been emitted. Hover over the high-water timestamp to view the system time.
Automatic table statistics jobs are not displayed even when the Type menu is set to All. To view these jobs, set Type to Automatic-Statistics Creation as described above.
To view job details, click on the job description.
|Description||SQL statement that created the job.|
|Job ID||Unique job ID. This value is used to pause, resume, or cancel jobs.|
|Users||User that created the job.|
|Creation Time||Date and time the job was created.|
|Status||Current job status or completion progress.|
||Job is created but has not started running.|
||Job is paused.|
||Job failed to complete.|
||Job successfully completed.|
||Job was cancelled.|
A job that is currently running will be displayed with its percent completion and time remaining, rather than the
Click any description on the jobs list to see the full SQL statement that created the job.
The job ID, creation time, users, status, and error messages (if any) are also shown.