On Tue, Jun 3, 2014 at 8:46 PM, Marek Wiewiorka <marek.wiewio...@gmail.com> wrote:
> Hi All, > I've been experiencing a very strange error after upgrade from Spark 0.9 > to 1.0 - it seems that saveAsTestFile function is throwing > java.lang.UnsupportedOperationException that I have never seen before. > In the stack trace you quoted, saveAsTextFile is not called. Is it really throwing an exception? Do you have the stack trace from the executor process? I think the exception originates from there, and the scheduler is just reporting it here. > Any hints appreciated. > > scheduler.TaskSetManager: Loss was due to > java.lang.ClassNotFoundException: > org.apache.spark.rdd.RDD$$anonfun$saveAsTextFile$1 [duplicate 45] > 14/06/03 16:46:23 ERROR actor.OneForOneStrategy: > java.lang.UnsupportedOperationException > at > org.apache.spark.scheduler.SchedulerBackend$class.killTask(SchedulerBackend.scala:32) > at > org.apache.spark.scheduler.cluster.mesos.MesosSchedulerBackend.killTask(MesosSchedulerBackend.scala:41) > at > org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$cancelTasks$3$$anonfun$apply$1.apply$mcVJ$sp(TaskSchedulerImpl.scala:185) > at > org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$cancelTasks$3$$anonfun$apply$1.apply(TaskSchedulerImpl.scala:183) > at > org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$cancelTasks$3$$anonfun$apply$1.apply(TaskSchedulerImpl.scala:183) > at scala.collection.mutable.HashSet.foreach(HashSet.scala:79) > at > org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$cancelTasks$3.apply(TaskSchedulerImpl.scala:183) > at > org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$cancelTasks$3.apply(TaskSchedulerImpl.scala:176) > at scala.Option.foreach(Option.scala:236) > at > org.apache.spark.scheduler.TaskSchedulerImpl.cancelTasks(TaskSchedulerImpl.scala:176) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages$1.apply$mcVI$sp(DAGScheduler.scala:1058) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages$1.apply(DAGScheduler.scala:1045) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages$1.apply(DAGScheduler.scala:1045) > at scala.collection.mutable.HashSet.foreach(HashSet.scala:79) > at org.apache.spark.scheduler.DAGScheduler.org > <http://org.apache.spark.scheduler.dagscheduler.org/> > $apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1045) > at > org.apache.spark.scheduler.DAGScheduler.handleJobCancellation(DAGScheduler.scala:998) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$doCancelAllJobs$1.apply$mcVI$sp(DAGScheduler.scala:499) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$doCancelAllJobs$1.apply(DAGScheduler.scala:499) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$doCancelAllJobs$1.apply(DAGScheduler.scala:499) > at scala.collection.mutable.HashSet.foreach(HashSet.scala:79) > at > org.apache.spark.scheduler.DAGScheduler.doCancelAllJobs(DAGScheduler.scala:499) > at > org.apache.spark.scheduler.DAGSchedulerActorSupervisor$$anonfun$2.applyOrElse(DAGScheduler.scala:1151) > at > org.apache.spark.scheduler.DAGSchedulerActorSupervisor$$anonfun$2.applyOrElse(DAGScheduler.scala:1147) > at > akka.actor.SupervisorStrategy.handleFailure(FaultHandling.scala:295) > at > akka.actor.dungeon.FaultHandling$class.handleFailure(FaultHandling.scala:253) > at akka.actor.ActorCell.handleFailure(ActorCell.scala:338) > at akka.actor.ActorCell.invokeAll$1(ActorCell.scala:423) > at akka.actor.ActorCell.systemInvoke(ActorCell.scala:447) > at > akka.dispatch.Mailbox.processAllSystemMessages(Mailbox.scala:262) > at akka.dispatch.Mailbox.run(Mailbox.scala:218) > at > akka.dispatch.ForkJoinExecutorConfigurator$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) > > Thanks, > Marek >
