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Confidence Level High This article been formally reviewed and is signed off on by a relevant subject matter expert.

This article outlines the nominal data flow of a job though HySDS.

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Tracking a Job

Jobs can be tracked through the job lifecycle via the payload ID. In Figaro, operators can facet on a job’s unique ID to monitor progression through the various stages as well as for troubleshooting functionality.

{{add comment about job tracking through the job lifecycle, facet on payload ID with a screenshot of the payload ID in Figaro for a specific job, highlighted in red. }}

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Submit a Job

A job is submitted via On-Demand or a Trigger Rule. Once submitted it moves to job-queued status.

Job Queued

A queued job is checked to see if its running(?). If it is, the job is moved to job-started status. If not, the job is revoked and changed to job-revoked status. Revoked jobs are then deleted.

Job Started

Running jobs that have been moved to job-started status are checked for two conditions: if they have timed out (via the watchdog check timedout) and if they have succeeded (via the exit code).

If timedout: Jobs that have timed out are changed to job-offline status and then deleted.
If succeeded with exit code == 0: Successfully completed jobs are updated to job-completed status. Finally, completed jobs are deleted.
If succeeded with exit code != 0: Jobs with non-zero exit codes are associated with failed jobs. Their status is updated to job-failed and then deleted.

Job Deduped

Jobs that have identical parameters, or if the same job was already successfully completed, are deduped and no further processing occurs.

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Tracking a Job

Jobs can be tracked through the job lifecycle via the payload ID. In Figaro, operators can facet on a job’s unique ID to monitor progression through the various stages as well as for troubleshooting functionality.