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From Aaron Davidson <ilike...@gmail.com>
Subject Re: Shuffle issues in the current master
Date Wed, 22 Oct 2014 23:37:47 GMT
You may be running into this issue:
https://issues.apache.org/jira/browse/SPARK-4019

You could check by having 2000 or fewer reduce partitions.

On Wed, Oct 22, 2014 at 1:48 PM, DB Tsai <dbtsai@dbtsai.com> wrote:

> PS, sorry for spamming the mailing list. Based my knowledge, both
> spark.shuffle.spill.compress and spark.shuffle.compress are default to
> true, so in theory, we should not run into this issue if we don't
> change any setting. Is there any other big we run into?
>
> Thanks.
>
> Sincerely,
>
> DB Tsai
> -------------------------------------------------------
> My Blog: https://www.dbtsai.com
> LinkedIn: https://www.linkedin.com/in/dbtsai
>
>
> On Wed, Oct 22, 2014 at 1:37 PM, DB Tsai <dbtsai@dbtsai.com> wrote:
> > Or can it be solved by setting both of the following setting into true
> for now?
> >
> > spark.shuffle.spill.compress true
> > spark.shuffle.compress ture
> >
> > Sincerely,
> >
> > DB Tsai
> > -------------------------------------------------------
> > My Blog: https://www.dbtsai.com
> > LinkedIn: https://www.linkedin.com/in/dbtsai
> >
> >
> > On Wed, Oct 22, 2014 at 1:34 PM, DB Tsai <dbtsai@dbtsai.com> wrote:
> >> It seems that this issue should be addressed by
> >> https://github.com/apache/spark/pull/2890 ? Am I right?
> >>
> >> Sincerely,
> >>
> >> DB Tsai
> >> -------------------------------------------------------
> >> My Blog: https://www.dbtsai.com
> >> LinkedIn: https://www.linkedin.com/in/dbtsai
> >>
> >>
> >> On Wed, Oct 22, 2014 at 11:54 AM, DB Tsai <dbtsai@dbtsai.com> wrote:
> >>> Hi all,
> >>>
> >>> With SPARK-3948, the exception in Snappy PARSING_ERROR is gone, but
> >>> I've another exception now. I've no clue about what's going on; does
> >>> anyone run into similar issue? Thanks.
> >>>
> >>> This is the configuration I use.
> >>> spark.rdd.compress true
> >>> spark.shuffle.consolidateFiles true
> >>> spark.shuffle.manager SORT
> >>> spark.akka.frameSize 128
> >>> spark.akka.timeout  600
> >>> spark.core.connection.ack.wait.timeout  600
> >>> spark.core.connection.auth.wait.timeout 300
> >>>
> >>>
> java.io.ObjectInputStream$PeekInputStream.readFully(ObjectInputStream.java:2325)
> >>>
>  java.io.ObjectInputStream$BlockDataInputStream.readShort(ObjectInputStream.java:2794)
> >>>
>  java.io.ObjectInputStream.readStreamHeader(ObjectInputStream.java:801)
> >>>         java.io.ObjectInputStream.<init>(ObjectInputStream.java:299)
> >>>
>  org.apache.spark.serializer.JavaDeserializationStream$$anon$1.<init>(JavaSerializer.scala:57)
> >>>
>  org.apache.spark.serializer.JavaDeserializationStream.<init>(JavaSerializer.scala:57)
> >>>
>  org.apache.spark.serializer.JavaSerializerInstance.deserializeStream(JavaSerializer.scala:95)
> >>>
>  org.apache.spark.storage.BlockManager.getLocalShuffleFromDisk(BlockManager.scala:351)
> >>>
>  org.apache.spark.storage.ShuffleBlockFetcherIterator$$anonfun$fetchLocalBlocks$1$$anonfun$apply$4.apply(ShuffleBlockFetcherIterator.scala:196)
> >>>
>  org.apache.spark.storage.ShuffleBlockFetcherIterator$$anonfun$fetchLocalBlocks$1$$anonfun$apply$4.apply(ShuffleBlockFetcherIterator.scala:196)
> >>>
>  org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:243)
> >>>
>  org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:52)
> >>>         scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
> >>>
>  org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:30)
> >>>
>  org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
> >>>
>  org.apache.spark.Aggregator.combineCombinersByKey(Aggregator.scala:89)
> >>>
>  org.apache.spark.shuffle.hash.HashShuffleReader.read(HashShuffleReader.scala:44)
> >>>         org.apache.spark.rdd.ShuffledRDD.compute(ShuffledRDD.scala:92)
> >>>         org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
> >>>         org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
> >>>         org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
> >>>         org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
> >>>         org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
> >>>
>  org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
> >>>         org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
> >>>         org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
> >>>
>  org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
> >>>
>  org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
> >>>         org.apache.spark.scheduler.Task.run(Task.scala:56)
> >>>
>  org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:181)
> >>>
>  java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> >>>
>  java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> >>>         java.lang.Thread.run(Thread.java:744)
> >>>
> >>>
> >>> Sincerely,
> >>>
> >>> DB Tsai
> >>> -------------------------------------------------------
> >>> My Blog: https://www.dbtsai.com
> >>> LinkedIn: https://www.linkedin.com/in/dbtsai
>
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