In the Job History page, you can track the status of all of your jobs and plan runs.
You can only see jobs for the flows to which you have access in your current environment.
Job History page
By default, the displayed jobs are:
Started: Start timestamp for the job.
Search: Enter text in the search field to filter the listed jobs by job ID, asset name, or dataset name.
Next to the job listing, click the options menu to see the following:
Cancel Job: Select to cancel a job that is currently being executed.
Delete job: Delete the job from the platform.
Deleting a job cannot be undone.
Additional options are available for each job. See Job Details Page.
Each job listed in the Job History page is a grouping of related jobs acting on the same recipe and dataset(s). Each of these jobgroups breaks down into one or more of the following job types.
Tip: To review the status of individual jobs within a jobgroup, hover over the icons in the Status column for the jobgroup.
Even when selected, profiling jobs may not appear in the Job History page. In some cases, a profiling job may be folded into a transform job for optimization reasons.
NOTE: When the profiling job is run as part of the transform job, there is no listing for profiling in the mouse-over popup.
Publish: Depending on multiple factors, your job may include a second Publish job that occurs after the transform job. For example, job groups can include internal Publish jobs for writing results to the designated location in the base storage layer.
Publishing can also be executed as a separate, post-execution job. As needed, job results can be published from their target location to another location or data store. These jobs are tracked separately as Publish jobs and can be launched from the Job Details page.
In the Status dropdown, each option corresponds to a possible status for jobs that have been initiated on the platform.
Completed: Job has successfully executed.
NOTE: Invalid steps in a recipe are skipped, and it's still possible for the job to be executed successfully.
NOTE: A warning icon may indicate that recipe errors were detected during the transform phase. You can hover over the icon for more information.
Failed: job failed to complete.
NOTE: You can re-run a failed job. If you have since modified the recipe, those changes are applied during the second run.
Queued: Job has been queued for execution.
To filter the list of jobs based on dates or source of execution, click the Funnel icon. You can use the following dialog to filter the display of jobs.
Filter Jobs dialog
Start Betweenfrom the drop-down list and populate both date-time rows.
Ended Betweenfrom the drop-down list and populate both date-time rows.
Change default filter:
An administrator can change the default number of days that are displayed.