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https://issues.apache.org/jira/browse/SPARK-3277?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14114247#comment-14114247
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Matei Zaharia commented on SPARK-3277:
--------------------------------------

Thanks Mridul -- I think Andrew and Patrick have figured this out.

> 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
>            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:
> 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)



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