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From "Davies Liu (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-18105) LZ4 failed to decompress a stream of shuffled data
Date Thu, 27 Oct 2016 18:18:58 GMT

    [ https://issues.apache.org/jira/browse/SPARK-18105?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15612686#comment-15612686
] 

Davies Liu commented on SPARK-18105:
------------------------------------

It turned out that the bug in LZ4 is a false alarm, so close the upstream issue.

Can't reproduce the behavior now.

> 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: Blocker
>
> 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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