Hi Anshal
Thank you for posting query in Microsoft Q&A Platform.
To automate the testing process before committing to Git, you can use Azure Databricks' built-in testing framework, which allows you to write and run automated tests for your notebooks and jobs. Here's a high-level approach you can follow:
Write your test cases in Databricks notebooks using the built-in testing framework. You can organize your test cases by test suites, which can be run independently or together.
Set up a Databricks job to run your test suites automatically. You can schedule the job to run at a specific time or trigger it manually.
Configure the job to fail if any of the test suites fail. This will prevent you from committing code that has failing tests.
Set up a pre-commit hook in Git to run the Databricks job before allowing a commit to be made to the production branch. This will ensure that all tests pass before code is deployed to production.
By following this approach, you can ensure that your code is thoroughly tested before it is deployed to production, and you can catch any issues early in the development process.
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