abtqian opened a new pull request, #56445:
URL: https://github.com/apache/spark/pull/56445

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   ### What changes were proposed in this pull request?
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     When a Spark driver container running on Kubernetes restarts (e.g., due to 
OOM) without the driver pod being deleted, executor pods from the previous 
driver lifetime are left in a terminal state (Failed or Completed). These 
orphaned pods are not cleaned up by Kubernetes garbage collection because they 
still hold an ownerReference to the original driver pod (which still exists), 
and the restarted driver no longer tracks them.                                 
                                                                                
                                                                                
                                                                                
                                                                                
         
     This PR adds a cleanTerminalExecutorPodsOnStart() method in 
KubernetesClusterSchedulerBackend that runs at driver startup — before the pod 
allocator is started — to detect and delete any executor pods in Failed or 
Completed phase that share the same app name label as the current application.
   
     The cleanup logic:
     1. Lists executor pods filtered by spark-role=executor and the app name 
label
     2. Filters for pods in terminal phases (Failed or Completed)
     3. Deletes them via the Kubernetes client
     4. Logs a warning and continues if the cleanup fails (non-fatal)
   
   ### Why are the changes needed?
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     When the driver container is restarted by Kubernetes (e.g., due to OOM 
kill), the driver pod itself is not recreated — only the container inside it 
restarts. As a result:
     - The old executor pods remain with ownerReference pointing to the 
still-existing driver pod, so Kubernetes garbage collection does not remove 
them.
     - The restarted driver has no knowledge of those old executors and will 
spawn new ones, leaving the old ones as zombie pods in Failed/Completed state.
     This causes resource leakage and, in long-running applications like Spark 
Thrift Server, accumulates stale pods over time.
   
   ### Does this PR introduce _any_ user-facing change?
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new features, bug fixes, or other behavior changes. Documentation-only updates 
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     Yes. On driver restart, Spark will now automatically delete orphaned 
executor pods in Failed or Completed state (matched by app name label) before 
starting pod allocation. Users running Spark on Kubernetes — especially 
long-lived services like Thrift Server — will see stale executor pods cleaned 
up on each driver restart instead of accumulating indefinitely.
   
   ### How was this patch tested?
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     A unit test SPARK-37856: cleanTerminalExecutorPodsOnStart deletes Failed 
and Completed executor pods was added to 
KubernetesClusterSchedulerBackendSuite. The test sets up mocks for executor 
pods in Failed, Completed, and Running phases, calls start(), and asserts that 
only the terminal pods are passed to 
kubernetesClient.resourceList(...).delete() — the running pod is not included.
   
   ### Was this patch authored or co-authored using generative AI tooling?
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   Yes


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