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A Databricks job is configured with three tasks (notebooks): Task A has no dependencies, while Tasks B and C run in parallel with each depending serially on Task A.
If during a scheduled run Task A and B complete successfully but Task C fails, what will be the final state of the job?
A Databricks job is configured with three tasks (notebooks): Task A has no dependencies, while Tasks B and C run in parallel with each depending serially on Task A.
If during a scheduled run Task A and B complete successfully but Task C fails, what will be the final state of the job?
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A
All logic expressed in the notebook associated with tasks A and B will have been successfully completed; some operations in task C may have completed successfully.
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B
Unless all tasks complete successfully, no changes will be committed to the Lakehouse; because task C failed, all commits will be rolled back automatically.
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