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Posted to issues@spark.apache.org by "Patrick Wendell (JIRA)" <ji...@apache.org> on 2014/08/29 02:07:08 UTC
[jira] [Resolved] (SPARK-3277) LZ4 compression cause the the
ExternalSort exception
[ https://issues.apache.org/jira/browse/SPARK-3277?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Patrick Wendell resolved SPARK-3277.
------------------------------------
Resolution: Fixed
Fixed by https://github.com/apache/spark/pull/2187
Thanks to everyone who helped isolate and debug this.
> LZ4 compression cause the the ExternalSort exception
> ----------------------------------------------------
>
> Key: SPARK-3277
> URL: https://issues.apache.org/jira/browse/SPARK-3277
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.0.2, 1.1.0, 1.2.0
> Reporter: hzw
> Assignee: Andrew Or
> Priority: Blocker
> Attachments: test_lz4_bug.patch
>
>
> I tested the LZ4 compression,and it come up with such problem.(with wordcount)
> Also I tested the snappy and LZF,and they were OK.
> At last I set the "spark.shuffle.spill" as false to avoid such exeception, but once open this "switch", this error would come.
> It seems that if num of the[ words is few, wordcount will go through,but if it is a complex text ,this problem will show
> Exeception Info as follow:
> {code}
> java.lang.AssertionError: assertion failed
> at scala.Predef$.assert(Predef.scala:165)
> at org.apache.spark.util.collection.ExternalAppendOnlyMap$DiskMapIterator.<init>(ExternalAppendOnlyMap.scala:416)
> at org.apache.spark.util.collection.ExternalAppendOnlyMap.spill(ExternalAppendOnlyMap.scala:235)
> at org.apache.spark.util.collection.ExternalAppendOnlyMap.insertAll(ExternalAppendOnlyMap.scala:150)
> at org.apache.spark.Aggregator.combineValuesByKey(Aggregator.scala:58)
> at org.apache.spark.shuffle.hash.HashShuffleWriter.write(HashShuffleWriter.scala:55)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
> at org.apache.spark.scheduler.Task.run(Task.scala:54)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:177)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603)
> at java.lang.Thread.run(Thread.java:722)
> {code}
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