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Data Engineering
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Version control jobs

User16826990884
New Contributor III

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?

3 REPLIES 3

Hayley
Databricks Employee
Databricks Employee

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-enterprisehistoryebooks/github-version-control.html#github-enterprise

ashdam
New Contributor III

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

Rom
New Contributor III

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

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