Hello community, I would like to pick up discussion on GitHub issue 60866 about DAG-level automatic retries or rerunning a whole DAG run from the start when a terminal task fails or the DAG run ends in a certain state. https://github.com/apache/airflow/issues/60866
I am not the person who originally opened that issue, and the original author may not be active now. I am unsure whether this is a real gap for users or something we should handle with patterns we already have. One user-side story I can picture is ML-style pipelines where a final validation or evaluation step fails and teams want a full rerun of the run instead of only retrying failed tasks. This is just one possible scenario. Other domains may have similar needs. I am not proposing a core change yet. I mainly want light feedback on three points. Do you feel this need in practice? How do you work around it today? And do you see it as something that belongs in core? Thanks, Yuseok Jo
