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For spark operator with `track_driver_via_k8s_api`, detect driver completion by container status rather than pod phase

apache/airflow#67934·46929·Python·110 天未动·0 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

## Problem `SparkSubmitOperator` with `track_driver_via_k8s_api=True` detects job completion by watching `pod.status.phase`. This breaks in two ways when the driver pod has sidecar containers: 1. The pod phase stays `Running` after the driver container exits (because the sidecar is still alive), so the poll loop never sees `Succeeded` and waits indefinitely. 2. On the `Failed` branch, `container_statuses[0]` is used to extract the exit code and reason — but index 0 is not guaranteed to be the driver container in a multi-container pod. ## When it occurs Only when Istio (or another sidecar container like fluentbut) is injected into the **driver pod**. ## Proposed fix Filter `container_statuses` by the driver container name (`spark-kubernetes-driver` is the Spark default) instead of relying on `pod.status.phase` or index 0: - Treat the driver container's `state.terminated.exit_code == 0` as success. - Treat `exit_code != 0` as failure, with the actual exit code and reason in the error message. - Fall back to `pod.status.phase` if the container name is not found (defensive). The driver container name could be made configurable via a new `k8s_driver_container_name` parameter defaulting to `spark-kubernetes-driver`. ## Workaround Set `execution_timeout` on the operator. This is documented in the requirements section of the operator docs. ## Related Introduced in: #67715
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