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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2015/12/18 16:00:52 UTC
[jira] [Resolved] (SPARK-12418) spark shuffle FAILED_TO_UNCOMPRESS
[ https://issues.apache.org/jira/browse/SPARK-12418?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-12418.
-------------------------------
Resolution: Duplicate
Target Version/s: (was: 1.5.1)
Please search JIRA first
> spark shuffle FAILED_TO_UNCOMPRESS
> ----------------------------------
>
> Key: SPARK-12418
> URL: https://issues.apache.org/jira/browse/SPARK-12418
> Project: Spark
> Issue Type: Bug
> Affects Versions: 1.5.1
> Environment: hadoop 2.3.0
> spark 1.5.1
> Reporter: dirk.zhang
>
> when use default compression snappy,I get error when spark doing shuffle
> Job aborted due to stage failure: Task 19 in stage 2.3 failed 4 times, most recent failure: Lost task 19.3 in stage 2.3 (TID 10311, 192.168.6.36): java.io.IOException: FAILED_TO_UNCOMPRESS(5)
> at org.xerial.snappy.SnappyNative.throw_error(SnappyNative.java:84)
> at org.xerial.snappy.SnappyNative.rawUncompress(Native Method)
> at org.xerial.snappy.Snappy.rawUncompress(Snappy.java:444)
> at org.xerial.snappy.Snappy.uncompress(Snappy.java:480)
> at org.xerial.snappy.SnappyInputStream.readFully(SnappyInputStream.java:135)
> at org.xerial.snappy.SnappyInputStream.readHeader(SnappyInputStream.java:92)
> at org.xerial.snappy.SnappyInputStream.<init>(SnappyInputStream.java:58)
> at org.apache.spark.io.SnappyCompressionCodec.compressedInputStream(CompressionCodec.scala:159)
> at org.apache.spark.storage.BlockManager.wrapForCompression(BlockManager.scala:1179)
> at org.apache.spark.shuffle.hash.HashShuffleReader$$anonfun$3.apply(HashShuffleReader.scala:53)
> at org.apache.spark.shuffle.hash.HashShuffleReader$$anonfun$3.apply(HashShuffleReader.scala:52)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:32)
> at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
> at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> at org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:217)
> at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:73)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
> at org.apache.spark.scheduler.Task.run(Task.scala:88)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
> 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)
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