Someone on the users list also encountered this exception:

https://mail-archives.apache.org/mod_mbox/incubator-spark-user/201310.mbox/%3C64474308D680D540A4D8151B0F7C03F7025EF289%40SHSMSX104.ccr.corp.intel.com%3E


On Wed, Oct 30, 2013 at 9:40 AM, Evan Chan <e...@ooyala.com> wrote:

> I'm at the latest
>
> commit f0e23a023ce1356bc0f04248605c48d4d08c2d05
> Merge: aec9bf9 a197137
> Author: Reynold Xin <r...@apache.org>
> Date:   Tue Oct 29 01:41:44 2013 -0400
>
>
> and seeing this when I do a "test-only FileServerSuite":
>
> 13/10/30 09:35:04.300 INFO DAGScheduler: Completed ResultTask(0, 0)
> 13/10/30 09:35:04.307 INFO LocalTaskSetManager: Loss was due to
> java.io.StreamCorruptedException
> java.io.StreamCorruptedException: invalid type code: AC
>         at
> java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1353)
>         at java.io.ObjectInputStream.readObject(ObjectInputStream.java:348)
>         at
> org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:39)
>         at
> org.apache.spark.serializer.DeserializationStream$$anon$1.getNext(Serializer.scala:101)
>         at
> org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:71)
>         at scala.collection.Iterator$$anon$21.hasNext(Iterator.scala:440)
>         at
> org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:26)
>         at
> org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:27)
>         at
> org.apache.spark.Aggregator.combineCombinersByKey(Aggregator.scala:53)
>         at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$combineByKey$2.apply(PairRDDFunctions.scala:95)
>         at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$combineByKey$2.apply(PairRDDFunctions.scala:94)
>         at
> org.apache.spark.rdd.MapPartitionsWithContextRDD.compute(MapPartitionsWithContextRDD.scala:40)
>         at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:237)
>         at org.apache.spark.rdd.RDD.iterator(RDD.scala:226)
>         at
> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:107)
>         at org.apache.spark.scheduler.Task.run(Task.scala:53)
>         at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:212)
>         at
> java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:895)
>         at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:918)
>         at java.lang.Thread.run(Thread.java:680)
>
>
> Anybody else seen this yet?
>
> I have a really simple PR and this fails without my change, so I may
> go ahead and submit it anyways.
>
> --
> --
> Evan Chan
> Staff Engineer
> e...@ooyala.com  |
>

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