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https://issues.apache.org/jira/browse/SPARK-37793?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-37793:
------------------------------------
Assignee: (was: Apache Spark)
> Invalid LocalMergedBlockData cause task hang
> --------------------------------------------
>
> Key: SPARK-37793
> URL: https://issues.apache.org/jira/browse/SPARK-37793
> Project: Spark
> Issue Type: Bug
> Components: Shuffle
> Affects Versions: 3.3.0
> Reporter: Cheng Pan
> Priority: Critical
>
> When enable push-based shuffle, there is a chance that task hang
>
> {code:java}
> 59 Executor task launch worker for task 424.0 in stage 753.0 (TID 106778)
> WAITING Lock(java.util.concurrent.ThreadPoolExecutor$Worker@1660371198})
> sun.misc.Unsafe.park(Native Method)
> java.util.concurrent.locks.LockSupport.park(LockSupport.java:175)
> java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2044)
> java.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)
> org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:753)
> org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:85)
> org.apache.spark.util.CompletionIterator.next(CompletionIterator.scala:29)
> scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:486)
> scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:492)
> scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
> org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:31)
> org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
> scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage6.sort_addToSorter_0$(Unknown
> Source)
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage6.processNext(Unknown
> Source)
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760)
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage7.smj_findNextJoinRows_0$(Unknown
> Source)
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage7.hashAgg_doAggregateWithKeys_1$(Unknown
> Source)
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage7.hashAgg_doAggregateWithKeys_0$(Unknown
> Source)
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage7.hashAgg_doAggregateWithoutKey_0$(Unknown
> Source)
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage7.processNext(Unknown
> Source)
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$2.hasNext(WholeStageCodegenExec.scala:779)
> scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
> org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:140)
> org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
> org.apache.spark.scheduler.Task.run(Task.scala:136)
> org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:507)
> org.apache.spark.executor.Executor$TaskRunner$$Lambda$518/852390142.apply(Unknown
> Source)
> org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1470)
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:510)
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> java.lang.Thread.run(Thread.java:748)
> {code}
> ShuffleBlockFetcherIterator.scala:753
> {code:java}
> while (result == null) {
> val startFetchWait = System.nanoTime()
> 753> result = results.take()
> val fetchWaitTime = TimeUnit.NANOSECONDS.toMillis(System.nanoTime() -
> startFetchWait)
> shuffleMetrics.incFetchWaitTime(fetchWaitTime)
> ..
> }
> {code}
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