[ https://issues.apache.org/jira/browse/SPARK-6299?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14363239#comment-14363239 ]
Apache Spark commented on SPARK-6299: ------------------------------------- User 'swkimme' has created a pull request for this issue: https://github.com/apache/spark/pull/5046 > ClassNotFoundException in standalone mode when running groupByKey with class > defined in REPL. > --------------------------------------------------------------------------------------------- > > Key: SPARK-6299 > URL: https://issues.apache.org/jira/browse/SPARK-6299 > Project: Spark > Issue Type: Bug > Components: Spark Shell > Affects Versions: 1.3.0, 1.2.1 > Reporter: Kevin (Sangwoo) Kim > > Anyone can reproduce this issue by the code below > (runs well in local mode, got exception with clusters) > (it runs well in Spark 1.1.1) > case class ClassA(value: String) > val rdd = sc.parallelize(List(("k1", ClassA("v1")), ("k1", ClassA("v2")) )) > rdd.groupByKey.collect > org.apache.spark.SparkException: Job aborted due to stage failure: Task 162 > in stage 1.0 failed 4 times, most recent failure: Lost task 162.3 in stage > 1.0 (TID 1027, ip-172-16-182-27.ap-northeast-1.compute.internal): > java.lang.ClassNotFoundException: $iwC$$iwC$$iwC$$iwC$UserRelationshipRow > at java.net.URLClassLoader$1.run(URLClassLoader.java:366) > at java.net.URLClassLoader$1.run(URLClassLoader.java:355) > at java.security.AccessController.doPrivileged(Native Method) > at java.net.URLClassLoader.findClass(URLClassLoader.java:354) > at java.lang.ClassLoader.loadClass(ClassLoader.java:425) > at java.lang.ClassLoader.loadClass(ClassLoader.java:358) > at java.lang.Class.forName0(Native Method) > at java.lang.Class.forName(Class.java:274) > at > org.apache.spark.serializer.JavaDeserializationStream$$anon$1.resolveClass(JavaSerializer.scala:59) > at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1612) > at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1517) > at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1771) > at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) > at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990) > at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915) > at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798) > at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) > at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370) > at > org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:62) > at > org.apache.spark.serializer.DeserializationStream$$anon$1.getNext(Serializer.scala:133) > at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:71) > at > org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:32) > at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371) > at > org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:32) > at > org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39) > at org.apache.spark.Aggregator.combineCombinersByKey(Aggregator.scala:91) > at > org.apache.spark.shuffle.hash.HashShuffleReader.read(HashShuffleReader.scala:44) > at org.apache.spark.rdd.ShuffledRDD.compute(ShuffledRDD.scala:92) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:280) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:247) > at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:280) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:247) > at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:280) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:247) > at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68) > at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) > at org.apache.spark.scheduler.Task.run(Task.scala:56) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:200) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) > at java.lang.Thread.run(Thread.java:745) > Driver stacktrace: > at > org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1214) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1203) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1202) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) > at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1202) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696) > at scala.Option.foreach(Option.scala:236) > at > org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:696) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1420) > at akka.actor.Actor$class.aroundReceive(Actor.scala:465) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessActor.aroundReceive(DAGScheduler.scala:1375) > at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516) > at akka.actor.ActorCell.invoke(ActorCell.scala:487) > at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:238) > at akka.dispatch.Mailbox.run(Mailbox.scala:220) > at > akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:393) > at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) > at > scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339) > at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) > at > scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107) -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org