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Posted to issues@spark.apache.org by "Lewin Ma (JIRA)" <ji...@apache.org> on 2019/03/05 07:00:00 UTC

[jira] [Commented] (SPARK-18105) LZ4 failed to decompress a stream of shuffled data

    [ https://issues.apache.org/jira/browse/SPARK-18105?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16784164#comment-16784164 ] 

Lewin Ma commented on SPARK-18105:
----------------------------------

Still hit the same issue in Spark 2.3.1:

 
{code:java}
 

org.apache.spark.shuffle.FetchFailedException: Stream is corrupted at org.apache.spark.storage.ShuffleBlockFetcherIterator.throwFetchFailedException(ShuffleBlockFetcherIterator.scala:523) at org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:439) at org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:61) at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434) at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:30) at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.agg_doAggregateWithKeys_1$(Unknown Source) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.agg_doAggregateWithKeys_0$(Unknown Source) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$10$$anon$1.hasNext(WholeStageCodegenExec.scala:614) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at org.apache.spark.shuffle.sort.UnsafeShuffleWriter.write(UnsafeShuffleWriter.java:187) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53) at org.apache.spark.scheduler.Task.run(Task.scala:109) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) Caused by: java.io.IOException: Stream is corrupted at net.jpountz.lz4.LZ4BlockInputStream.refill(LZ4BlockInputStream.java:202) at net.jpountz.lz4.LZ4BlockInputStream.read(LZ4BlockInputStream.java:157) at net.jpountz.lz4.LZ4BlockInputStream.read(LZ4BlockInputStream.java:170) at org.apache.spark.util.Utils$$anonfun$copyStream$1.apply$mcJ$sp(Utils.scala:348) at org.apache.spark.util.Utils$$anonfun$copyStream$1.apply(Utils.scala:335) at org.apache.spark.util.Utils$$anonfun$copyStream$1.apply(Utils.scala:335) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1380) at org.apache.spark.util.Utils$.copyStream(Utils.scala:356) at org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:431) ... 21 more{code}
 
 

> LZ4 failed to decompress a stream of shuffled data
> --------------------------------------------------
>
>                 Key: SPARK-18105
>                 URL: https://issues.apache.org/jira/browse/SPARK-18105
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>            Reporter: Davies Liu
>            Assignee: Davies Liu
>            Priority: Major
>
> When lz4 is used to compress the shuffle files, it may fail to decompress it as "stream is corrupt"
> {code}
> Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 92 in stage 5.0 failed 4 times, most recent failure: Lost task 92.3 in stage 5.0 (TID 16616, 10.0.27.18): java.io.IOException: Stream is corrupted
> 	at org.apache.spark.io.LZ4BlockInputStream.refill(LZ4BlockInputStream.java:220)
> 	at org.apache.spark.io.LZ4BlockInputStream.available(LZ4BlockInputStream.java:109)
> 	at java.io.BufferedInputStream.read(BufferedInputStream.java:353)
> 	at java.io.DataInputStream.read(DataInputStream.java:149)
> 	at com.google.common.io.ByteStreams.read(ByteStreams.java:828)
> 	at com.google.common.io.ByteStreams.readFully(ByteStreams.java:695)
> 	at org.apache.spark.sql.execution.UnsafeRowSerializerInstance$$anon$3$$anon$1.next(UnsafeRowSerializer.scala:127)
> 	at org.apache.spark.sql.execution.UnsafeRowSerializerInstance$$anon$3$$anon$1.next(UnsafeRowSerializer.scala:110)
> 	at scala.collection.Iterator$$anon$13.next(Iterator.scala:372)
> 	at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> 	at org.apache.spark.util.CompletionIterator.next(CompletionIterator.scala:30)
> 	at org.apache.spark.InterruptibleIterator.next(InterruptibleIterator.scala:43)
> 	at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> 	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.sort_addToSorter$(Unknown Source)
> 	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
> 	at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> 	at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370)
> 	at org.apache.spark.sql.execution.datasources.DynamicPartitionWriterContainer.writeRows(WriterContainer.scala:397)
> 	at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(InsertIntoHadoopFsRelationCommand.scala:143)
> 	at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(InsertIntoHadoopFsRelationCommand.scala:143)
> 	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
> 	at org.apache.spark.scheduler.Task.run(Task.scala:86)
> 	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
> 	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> 	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> 	at java.lang.Thread.run(Thread.java:745)
> {code}
> https://github.com/jpountz/lz4-java/issues/89



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