How does Apache Airflow handle retries and error handling in workflows?
- Automatic retries with customizable settings, configurable error handling policies, task-level retries
- External retry management through third-party tools, basic error logging functionality
- Manual retries with fixed settings, limited error handling options, workflow-level retries
- No retry mechanism, error-prone execution, lack of error handling capabilities
Apache Airflow provides robust mechanisms for handling retries and errors in workflows. It offers automatic retries for failed tasks with customizable settings such as retry delay and maximum retry attempts. Error handling policies are configurable at both the task and workflow levels, allowing users to define actions to take on different types of errors, such as retrying, skipping, or failing tasks. Task-level retries enable granular control over retry behavior, enhancing workflow resilience and reliability.
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