topic Version control jobs in Data Engineering

Version control jobs

User16826990884 — Fri, 25 Jun 2021 19:01:34 GMT

How do engineering teams out there version control their jobs? If there is a production issue, can I revert to an older version of the job?

Re: Version control jobs

Hayley — Fri, 25 Jun 2021 22:19:19 GMT

One option is using Github for version control. You can link a notebook and Databricks syncs your history with Git- which gives you the option to restore an older version if needed. Here are the docs for more details: https://docs.databricks.com/notebooks/github-version-control.html#github-enterpriseebooks/github-version-control.html#github-enterprise

Re: Version control jobs

ashdam — Fri, 27 Oct 2023 07:33:46 GMT

@Hayley i knew about notebook but how can we version control the job itself?

Re: Version control jobs

Rom — Sun, 29 Oct 2023 16:49:42 GMT

You can use version controlled source code for you databricks job and each time you need to rollback to older version of your job you need just to move to older version code. For version controlled source code you have multiple choises:
- Use a notebook from a remote Git repository
- Use Python code from a remote Git repository
- Use SQL queries from a remote Git repository
https://docs.databricks.com/en/workflows/jobs/how-to/use-repos.html