[GitHub] [spark] HyukjinKwon commented on pull request #36564: [SPARK-39195][SQL] Spark OutputCommitCoordinator should abort stage when committed file not consistent with task status

[GitBox <gi...@apache.org>]

HyukjinKwon commented on PR #36564:
URL: https://github.com/apache/spark/pull/36564#issuecomment-1161545527

   Hm, I think the test here seems flaky:
   
   ```
   [info] OutputCommitCoordinatorSuite:
   [info] - Only one of two duplicate commit tasks should commit (80 milliseconds)
   [info] - If commit fails, if task is retried it should not be locked, and will succeed. *** FAILED *** (69 milliseconds)
   [info]   org.apache.spark.SparkException: Job aborted due to stage failure: Authorized committer (attemptNumber=0, stage=0, partition=0) failed; but task commit success, data duplication may happen.
   [info]   at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2706)
   [info]   at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2642)
   [info]   at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2641)
   [info]   at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
   [info]   at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
   [info]   at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
   [info]   at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2641)
   [info]   at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleStageFailed$1(DAGScheduler.scala:1182)
   [info]   at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleStageFailed$1$adapted(DAGScheduler.scala:1182)
   [info]   at scala.Option.foreach(Option.scala:407)
   [info]   at org.apache.spark.scheduler.DAGScheduler.handleStageFailed(DAGScheduler.scala:1182)
   [info]   at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2894)
   ```


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