Add on_kill to Databricks Workflow Operator

[R7L208]

The Databricks Provider did not implement on_kill to cancel tasks generated by _CreateDatabricksWorkflowOperator. This led to data quality issues, where Airflow would report a cancellation due to timeout; however, the corresponding workflow task would continue to run on Databricks.

This PR implements on_kill for _CreateDatabricksWorkflowOperator.

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[boring-cyborg]

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[R7L208]

hey @pankajkoti - Any ETA on when you'd be able to review this PR? 🙏

[pankajkoti]

hi @R7L208 Apologies, I missed reviewing it so far.

I am happy to review the changes for databricks_workflow.py but not so comfortable yet reviewing the changes in databricks_sql.py (operators & hooks) as I do not have enough expertise on the changes made there. Would you please to separate out the two changes(move out databricks_sql.py related changes to another PR) and then we can invite some expert to review the other PR?

[R7L208]

Opened #42668

@pankajkoti @eladkal - can you please assign someone to review?

[pankajkoti]

@R7L208 Can you please update the PR description based on the altered scope of this PR?

[R7L208]

@pankajkoti - it's been updated

[pankajkoti]

@pankajkoti - it's been updated

@R7L208 it's not. It mentions about DatabricksSqlHook queries ("SQL queries submitted by DatabricksSqlHook") & using threading ("uses threading to cancel SQL queries submitted by DatabricksSqlHook.run()") which we no longer have in this PR. Could you please re-read the description and update to what's limited to the scope of this PR.

Also, _CreateDatabricksWorkflowOperator does not rely on DatabricksSqlHook, but leverages DatabricksHook just in case you missed checking that :)

[R7L208]

@pankajkoti - Apologies! I read PR title instead of PR description 🤦

PR description is now updated

[boring-cyborg]

Awesome work, congrats on your first merged pull request! You are invited to check our Issue Tracker for additional contributions.