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 <dbt...@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 <dbt...@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 <dbt...@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 <dbt...@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 > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > >
