Github user dbtsai commented on the pull request:

    https://github.com/apache/spark/pull/2030#issuecomment-58214186
  
    I thought it was a close issue, so I moved my comment to JIRA. I ran into
    this issue in spark-shell not the standalone application, does SPARK-3762
    apply in this situation? Thanks.
    
    Sent from my Google Nexus 5
    On Oct 7, 2014 5:17 PM, "Davies Liu" <[email protected]> wrote:
    
    > It could be fixed by https://github.com/apache/spark/pull/2624
    >
    > It's strange that I can not see this comment on PR #2030.
    >
    > On Tue, Oct 7, 2014 at 6:28 AM, DB Tsai <[email protected]> wrote:
    >
    > > We had a build against the spark master on Oct 2, and when ran our
    > > application with data around 600GB, we got the following exception. Does
    > > this PR fix this issue which is seen by @JoshRosen
    > > <https://github.com/JoshRosen>
    > >
    > > Job aborted due to stage failure: Task 0 in stage 6.0 failed 4 times,
    > most recent failure: Lost task 0.3 in stage 6.0 (TID 8312, ams03-002.ff):
    > java.io.IOException: PARSING_ERROR(2)
    > > org.xerial.snappy.SnappyNative.throw_error(SnappyNative.java:84)
    > > org.xerial.snappy.SnappyNative.uncompressedLength(Native Method)
    > > org.xerial.snappy.Snappy.uncompressedLength(Snappy.java:594)
    > > 
org.xerial.snappy.SnappyInputStream.readFully(SnappyInputStream.java:125)
    > > 
org.xerial.snappy.SnappyInputStream.readHeader(SnappyInputStream.java:88)
    > > org.xerial.snappy.SnappyInputStream.<init>(SnappyInputStream.java:58)
    > >
    > 
org.apache.spark.io.SnappyCompressionCodec.compressedInputStream(CompressionCodec.scala:128)
    > >
    > 
org.apache.spark.storage.BlockManager.wrapForCompression(BlockManager.scala:1004)
    > >
    > 
org.apache.spark.storage.ShuffleBlockFetcherIterator$$anon$1$$anonfun$onBlockFetchSuccess$1.apply(ShuffleBlockFetcherIterator.scala:116)
    > >
    > 
org.apache.spark.storage.ShuffleBlockFetcherIterator$$anon$1$$anonfun$onBlockFetchSuccess$1.apply(ShuffleBlockFetcherIterator.scala:115)
    > >
    > 
org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:243)
    > >
    > 
org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:52)
    > > scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
    > >
    > 
org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:30)
    > >
    > 
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
    > > org.apache.spark.Aggregator.combineCombinersByKey(Aggregator.scala:89)
    > >
    > 
org.apache.spark.shuffle.hash.HashShuffleReader.read(HashShuffleReader.scala:44)
    > > org.apache.spark.rdd.ShuffledRDD.compute(ShuffledRDD.scala:92)
    > > org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
    > > org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
    > > org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
    > > org.apache.spark.scheduler.Task.run(Task.scala:56)
    > > org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:182)
    > >
    > 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
    > >
    > 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
    > > java.lang.Thread.run(Thread.java:744)
    > >
    > > Driver stacktrace:
    > >
    > > --
    > > Reply to this email directly or view it on GitHub
    > > <https://github.com/apache/spark/pull/2030#issuecomment-58183559>.
    > >
    >
    >
    >
    > --
    > - Davies
    >
    > —
    > Reply to this email directly or view it on GitHub
    > <https://github.com/apache/spark/pull/2030#issuecomment-58201237>.
    >


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