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From "Xiangrui Meng (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-1977) mutable.BitSet in ALS not serializable with KryoSerializer
Date Wed, 04 Jun 2014 21:45:02 GMT

    [ https://issues.apache.org/jira/browse/SPARK-1977?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14018227#comment-14018227
] 

Xiangrui Meng commented on SPARK-1977:
--------------------------------------

Did you register `Rating`? I think this is necessary.

> mutable.BitSet in ALS not serializable with KryoSerializer
> ----------------------------------------------------------
>
>                 Key: SPARK-1977
>                 URL: https://issues.apache.org/jira/browse/SPARK-1977
>             Project: Spark
>          Issue Type: Bug
>          Components: MLlib
>    Affects Versions: 1.0.0
>            Reporter: Neville Li
>            Priority: Minor
>
> OutLinkBlock in ALS.scala has an Array[mutable.BitSet] member.
> KryoSerializer uses AllScalaRegistrar from Twitter chill but it doesn't register mutable.BitSet.
> Right now we have to register mutable.BitSet manually. A proper fix would be using immutable.BitSet
in ALS or register mutable.BitSet in upstream chill.
> {code}
> Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 1724.0:9
failed 4 times, most recent failure: Exception failure in TID 68548 on host lon4-hadoopslave-b232.lon4.spotify.net:
com.esotericsoftware.kryo.KryoException: java.lang.ArrayStoreException: scala.collection.mutable.HashSet
> Serialization trace:
> shouldSend (org.apache.spark.mllib.recommendation.OutLinkBlock)
>         com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.read(FieldSerializer.java:626)
>         com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:221)
>         com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:732)
>         com.twitter.chill.Tuple2Serializer.read(TupleSerializers.scala:43)
>         com.twitter.chill.Tuple2Serializer.read(TupleSerializers.scala:34)
>         com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:732)
>         org.apache.spark.serializer.KryoDeserializationStream.readObject(KryoSerializer.scala:115)
>         org.apache.spark.serializer.DeserializationStream$$anon$1.getNext(Serializer.scala:125)
>         org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:71)
>         org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
>         org.apache.spark.rdd.CoGroupedRDD$$anonfun$compute$4.apply(CoGroupedRDD.scala:155)
>         org.apache.spark.rdd.CoGroupedRDD$$anonfun$compute$4.apply(CoGroupedRDD.scala:154)
>         scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
>         scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
>         org.apache.spark.rdd.CoGroupedRDD.compute(CoGroupedRDD.scala:154)
>         org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
>         org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
>         org.apache.spark.rdd.MappedValuesRDD.compute(MappedValuesRDD.scala:31)
>         org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
>         org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
>         org.apache.spark.rdd.FlatMappedValuesRDD.compute(FlatMappedValuesRDD.scala:31)
>         org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
>         org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
>         org.apache.spark.rdd.FlatMappedRDD.compute(FlatMappedRDD.scala:33)
>         org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
>         org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:77)
>         org.apache.spark.rdd.RDD.iterator(RDD.scala:227)
>         org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:111)
>         org.apache.spark.scheduler.Task.run(Task.scala:51)
>         org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
>         java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:886)
>         java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:908)
>         java.lang.Thread.run(Thread.java:662)
> Driver stacktrace:
> 	at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1033)
> 	at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1017)
> 	at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1015)
> 	at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> 	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> 	at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1015)
> 	at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633)
> 	at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633)
> 	at scala.Option.foreach(Option.scala:236)
> 	at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:633)
> 	at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1207)
> 	at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
> 	at akka.actor.ActorCell.invoke(ActorCell.scala:456)
> 	at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
> 	at akka.dispatch.Mailbox.run(Mailbox.scala:219)
> 	at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
> 	at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
> 	at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
> 	at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
> 	at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
> {code}



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