Scenario: A task in your Apache Airflow workflow failed due to a transient network issue. How would you configure retries and error handling to ensure the task completes successfully?
- Configure task retries with exponential backoff, Set a maximum number of retries, Enable retry delay, Implement error handling with try-except blocks
- Manually rerun the failed task, Modify the task code to handle network errors, Increase task timeout, Disable task retries
- Rollback the entire workflow, Alert the operations team, Analyze network logs for the root cause, Increase task priority
- Scale up the Airflow cluster, Implement parallel task execution, Switch to a different workflow orchestration tool, Ignore the failure and continue execution
To ensure the task completes successfully despite a transient network issue, configure task retries with exponential backoff, set a maximum number of retries, and enable retry delay in Apache Airflow. This approach allows the task to automatically retry upon failure, with increasing intervals between retries to mitigate the impact of network issues. Additionally, implementing error handling with try-except blocks within the task code can provide further resilience against network errors by handling exceptions gracefully.
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