wuyi created SPARK-37695:
----------------------------
Summary: 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
{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}
--
This message was sent by Atlassian Jira
(v8.20.1#820001)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]