ahshahid commented on PR #50033:
URL: https://github.com/apache/spark/pull/50033#issuecomment-2785150890

   But that is true only for shuffle stage, not with result stage.
   In case of result stage, output removal will not work.. in this pr , that
   is handled
   
   On Mon, Apr 7, 2025, 8:43 PM Attila Zsolt Piros ***@***.***>
   wrote:
   
   > What about the retry of partitions?. Because the failing stage is
   > indeterminate, all the partitions should be retired.. isn't it?
   >
   > ...but latter when the ResubmitFailedStages is handled the execution goes
   > to submitMissingTasks() where all the output is removed:
   >
   >
   > 
https://github.com/apache/spark/blob/2b3fb526c8bd8b486f280756d5282cc84f7473d7/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala#L1555
   >
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   > Reply to this email directly, view it on GitHub
   > <https://github.com/apache/spark/pull/50033#issuecomment-2785144596>, or
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   > [image: attilapiros]*attilapiros* left a comment (apache/spark#50033)
   > <https://github.com/apache/spark/pull/50033#issuecomment-2785144596>
   >
   > What about the retry of partitions?. Because the failing stage is
   > indeterminate, all the partitions should be retired.. isn't it?
   >
   > ...but latter when the ResubmitFailedStages is handled the execution goes
   > to submitMissingTasks() where all the output is removed:
   >
   >
   > 
https://github.com/apache/spark/blob/2b3fb526c8bd8b486f280756d5282cc84f7473d7/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala#L1555
   >
   > —
   > Reply to this email directly, view it on GitHub
   > <https://github.com/apache/spark/pull/50033#issuecomment-2785144596>, or
   > unsubscribe
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