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Update Job Settings and Re-Run

A 3-step recipe with Databricks. We can help you get access.

Recipe · 3 steps

Update Job Settings and Re-Run

with Databricks

Partially update a job's settings and trigger a run.

  1. Read the job to confirm it exists and capture its current creator before applying changes.
  2. Apply the partial settings update to the job using new_settings.
  3. Trigger an immediate run of the updated job to validate the new configuration.
What you'll need to have ready
  • job_id: The canonical identifier of the job to update and run.
  • new_settings: The partial job settings to apply (e.g. name, timeout, tasks).
  • notebook_params: Optional notebook parameters for the validation run.
For your developer

Arazzo workflow databricks:update-job-and-rerun, 3 operations: getJob → updateJob → runJobNow. Specs on APIs.io.

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