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https://issues.apache.org/jira/browse/SPARK-7896?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14561311#comment-14561311
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Sandy Ryza commented on SPARK-7896:
-----------------------------------
[~joshrosen] I'll take a look
> IndexOutOfBoundsException in ChainedBuffer
> ------------------------------------------
>
> Key: SPARK-7896
> URL: https://issues.apache.org/jira/browse/SPARK-7896
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.4.0
> Reporter: Arun Ahuja
> Assignee: Sandy Ryza
> Priority: Blocker
>
> I've run into this on two tasks that use the same dataset.
> The dataset is a collection of strings where the most common string appears
> ~200M times and the next few appear ~50M times each.
> for this rdd: RDD[String], I can do rdd.map( x => (x, 1)).reduceByKey( _ + _)
> to get the counts (how I got the number above), but I hit the error on
> rdd.groupByKey().
> Also, I have a second RDD of strings rdd2: RDD[String] and I cannot do
> rdd2.leftOuterJoin(rdd) without hitting this error
> {code}
> 15/05/26 23:27:55 WARN scheduler.TaskSetManager: Lost task 3169.1 in stage
> 5.0 (TID 4843, demeter-csmaz10-19.demeter.hpc.mssm.edu):
> java.lang.IndexOutOfBoundsException: 512
> at
> scala.collection.mutable.ResizableArray$class.apply(ResizableArray.scala:43)
> at scala.collection.mutable.ArrayBuffer.apply(ArrayBuffer.scala:47)
> at
> org.apache.spark.util.collection.ChainedBuffer.write(ChainedBuffer.scala:110)
> at
> org.apache.spark.util.collection.ChainedBufferOutputStream.write(ChainedBuffer.scala:141)
> at com.esotericsoftware.kryo.io.Output.flush(Output.java:155)
> at
> org.apache.spark.serializer.KryoSerializationStream.flush(KryoSerializer.scala:147)
> at
> org.apache.spark.util.collection.PartitionedSerializedPairBuffer.insert(PartitionedSerializedPairBuffer.scala:78)
> at
> org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:219)
> at
> org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:62)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:70)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
> at org.apache.spark.scheduler.Task.run(Task.scala:70)
> at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
> {code}
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