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Enable kubernetes_pod_operator to reattach_on_restart when the worker dies

apache/airflow#21900·46930·Python·80 天未动·6 条评论·上游最近活跃 ·池内状态:可认领
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上游 issue 正文

### Description The `kubernetes_pod_operator` currently has a `reattach_on_restart` parameter that attempts to reattach to running pods instead of creating a new pod in case a scheduler dies while the task is running. We would like for this feature to also work when the worker dies as well. Currently, a dying worker receives a SIGTERM and triggers the `on_kill` method: https://github.com/apache/airflow/blob/ace8c6e942ff5554639801468b971915b7c0e9b9/airflow/models/taskinstance.py#L1425 This ends up deleting the pod that was created: https://github.com/apache/airflow/blob/ace8c6e942ff5554639801468b971915b7c0e9b9/airflow/providers/cncf/kubernetes/operators/kubernetes_pod.py#L438 We currently got around this problem by removing the the `on_kill` call upon receiving a SIGTERM and pushing an xcom indicating that the worker was killed. We then enabled retries for the `kubernetes_pod_operator` and modified the [is_eligible_to_retry](https://github.com/apache/airflow/blob/ace8c6e942ff5554639801468b971915b7c0e9b9/airflow/models/taskinstance.py#L1825) function to check for the presence of this xcom and only retry if found, allowing us to retry only when the worker was killed. Unfortunately, this is not a perfect solution because clearing a task / stopping a task via the UI triggers the same signal handler as when a worker is killed externally. Therefore, with this workaround, stopping the task (via UI) now does not kill the pod, and clearing the task (via UI) causes a reattach when we would ideally like a restart. ### Use case/motivation Since the pod itself may fail for a valid reason, we don't just want to add more retries. In that situation, it will also not re-attach but start a completely new pod since the original pod would have been cleaned up. We specifically want the reattaching to happen when the worker dies for infrastructure related reasons. This is useful for instance, during deployment updates in kubernetes. It's currently quite a disruptive process because all th…
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