Thanks for your advice, Jem. :) I will increase the partitioning and see if it helps.
Best, Yifan LI > On 23 Oct 2015, at 12:48, Jem Tucker <jem.tuc...@gmail.com> wrote: > > Hi Yifan, > > I think this is a result of Kryo trying to seriallize something too large. > Have you tried to increase your partitioning? > > Cheers, > > Jem > > On Fri, Oct 23, 2015 at 11:24 AM Yifan LI <iamyifa...@gmail.com > <mailto:iamyifa...@gmail.com>> wrote: > Hi, > > I have a big sorted RDD sRdd(~962million elements), and need to scan its > elements in order(using sRdd.toLocalIterator). > > But the process failed when the scanning was done after around 893million > elements, returned with following exception: > > Anyone has idea? Thanks! > > > Exception in thread "main" org.apache.spark.SparkException: Job aborted due > to stage failure: Task 0 in stage 421752.0 failed 128 times, most recent > failure: Lost task 0.127 in stage 421752.0 (TID 17304, > small15-tap1.common.lip6.fr <http://small15-tap1.common.lip6.fr/>): > java.lang.NegativeArraySizeException > at > com.esotericsoftware.kryo.util.IdentityObjectIntMap.resize(IdentityObjectIntMap.java:409) > at > com.esotericsoftware.kryo.util.IdentityObjectIntMap.putStash(IdentityObjectIntMap.java:227) > at > com.esotericsoftware.kryo.util.IdentityObjectIntMap.push(IdentityObjectIntMap.java:221) > at > com.esotericsoftware.kryo.util.IdentityObjectIntMap.put(IdentityObjectIntMap.java:117) > at > com.esotericsoftware.kryo.util.IdentityObjectIntMap.putStash(IdentityObjectIntMap.java:228) > at > com.esotericsoftware.kryo.util.IdentityObjectIntMap.push(IdentityObjectIntMap.java:221) > at > com.esotericsoftware.kryo.util.IdentityObjectIntMap.put(IdentityObjectIntMap.java:117) > at > com.esotericsoftware.kryo.util.MapReferenceResolver.addWrittenObject(MapReferenceResolver.java:23) > at com.esotericsoftware.kryo.Kryo.writeReferenceOrNull(Kryo.java:598) > at com.esotericsoftware.kryo.Kryo.writeClassAndObject(Kryo.java:566) > at com.twitter.chill.Tuple2Serializer.write(TupleSerializers.scala:36) > at com.twitter.chill.Tuple2Serializer.write(TupleSerializers.scala:33) > at com.esotericsoftware.kryo.Kryo.writeClassAndObject(Kryo.java:568) > at > com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ObjectArraySerializer.write(DefaultArraySerializers.java:318) > at > com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ObjectArraySerializer.write(DefaultArraySerializers.java:293) > at com.esotericsoftware.kryo.Kryo.writeClassAndObject(Kryo.java:568) > at > org.apache.spark.serializer.KryoSerializerInstance.serialize(KryoSerializer.scala:250) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:236) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > > Driver stacktrace: > at org.apache.spark.scheduler.DAGScheduler.org > <http://org.apache.spark.scheduler.dagscheduler.org/>$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1273) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1264) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1263) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) > at > org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1263) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730) > at scala.Option.foreach(Option.scala:236) > at > org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:730) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1457) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1418) > at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) > > Best, > Yifan LI > > > > >
