[
https://issues.apache.org/jira/browse/SPARK-37695?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
wuyi resolved SPARK-37695.
--------------------------
Fix Version/s: 3.2.1
3.3.0
Assignee: Cheng Pan
Resolution: Fixed
Issue resolved by [https://github.com/apache/spark/pull/34961]
> Skip diagnosis ob merged blocks from push-based shuffle
> -------------------------------------------------------
>
> Key: SPARK-37695
> URL: https://issues.apache.org/jira/browse/SPARK-37695
> Project: Spark
> Issue Type: Sub-task
> Components: Shuffle
> Affects Versions: 3.2.0, 3.3.0
> Reporter: wuyi
> Assignee: Cheng Pan
> Priority: Major
> Fix For: 3.2.1, 3.3.0
>
>
> Shuffle corruption diagnosis for push-based shuffle hasn't been supported
> yet. So we should skip diagnosis on merged blocks, otherwise it could fail:
> {code:java}
> 21/12/19 18:46:37 WARN TaskSetManager: Lost task 166.0 in stage 1921.0 (TID
> 138855) (beta-spark5 executor 218): java.lang.AssertionError: assertion
> failed: Expected ShuffleBlockId, but got shuffleChunk_464_0_5645_0
> at scala.Predef$.assert(Predef.scala:223)
> at
> org.apache.spark.storage.ShuffleBlockFetcherIterator.diagnoseCorruption(ShuffleBlockFetcherIterator.scala:1043)
> at
> org.apache.spark.storage.BufferReleasingInputStream.$anonfun$tryOrFetchFailedException$1(ShuffleBlockFetcherIterator.scala:1308)
> at scala.Option.map(Option.scala:230)
> at
> org.apache.spark.storage.BufferReleasingInputStream.tryOrFetchFailedException(ShuffleBlockFetcherIterator.scala:1307)
> at
> org.apache.spark.storage.BufferReleasingInputStream.read(ShuffleBlockFetcherIterator.scala:1293)
> at java.io.BufferedInputStream.fill(BufferedInputStream.java:246)
> at java.io.BufferedInputStream.read(BufferedInputStream.java:265)
> at java.io.DataInputStream.readInt(DataInputStream.java:387)
> at
> org.apache.spark.sql.execution.UnsafeRowSerializerInstance$$anon$2$$anon$3.readSize(UnsafeRowSerializer.scala:113)
> at
> org.apache.spark.sql.execution.UnsafeRowSerializerInstance$$anon$2$$anon$3.<init>(UnsafeRowSerializer.scala:120)
> at
> org.apache.spark.sql.execution.UnsafeRowSerializerInstance$$anon$2.asKeyValueIterator(UnsafeRowSerializer.scala:110)
> at
> org.apache.spark.shuffle.BlockStoreShuffleReader.$anonfun$read$2(BlockStoreShuffleReader.scala:98)
> at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:486)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:492)
> at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
> at
> org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:31)
> at
> org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
> at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage9.sort_addToSorter_0$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage9.processNext(Unknown
> Source)
> at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:759)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage10.smj_findNextJoinRows_0$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage10.processNext(Unknown
> Source)
> at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$2.hasNext(WholeStageCodegenExec.scala:778)
> at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
> at
> org.apache.spark.shuffle.sort.UnsafeShuffleWriter.write(UnsafeShuffleWriter.java:179)
> at
> org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
> at org.apache.spark.scheduler.Task.run(Task.scala:136)
> at
> org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:507)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1468)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:510)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748) {code}
>
>
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