When using Prefect 3.x to re-run a failed run after updating code, the process can be influenced by recent changes in task retry behavior. Here's what you can do:
1.
Manually Trigger a Re-run: You can manually re-trigger the task or flow run from the Prefect UI. This allows you to run the updated version of your flows without needing to modify the deployment.
2.
Retry Mechanism: Prefect provides retry mechanisms to handle transient errors. If the error that caused the failure is expected to be transient, consider configuring retries either as part of the task or on the flow level.
3.
Code Update Considerations:
- If you have updated the code, ensure that the corresponding flows or tasks are redeployed if needed. Prefect 3.x might require that you use updated deployment commands or update stored flow metadata to reflect the changes in your code.
- In Prefect 3.x, task retry behavior has been changed, particularly the dynamic_key has been altered, which can affect how retries are handled and stored.
4.
Avoid Full Re-execution:
- Avoid unnecessary re-execution of successfully completed tasks by employing result caching and storage solutions that align with Prefect's changes in persistent retries and task identifiers.
5.
Troubleshoot Known Issues:
- Be aware of specific issues, such as unexpected re-execution of tasks when retrying failed tasks due to how task identifiers are handled in Prefect 3.x. This
GitHub Issue discusses related retry behavior issues.
For further reading and official guidance, you might want to explore Prefect's
documentation on Prefect 3.x and
ongoing GitHub issues for the latest updates and solutions to retry logic challenges.