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https://issues.apache.org/jira/browse/MESOS-1535?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Benjamin Mahler closed MESOS-1535.
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Resolution: Invalid
Can you open a ticket with the pyspark project? Is this still relevant?
> Pyspark on Mesos scheduler error
> --------------------------------
>
> Key: MESOS-1535
> URL: https://issues.apache.org/jira/browse/MESOS-1535
> Project: Mesos
> Issue Type: Bug
> Affects Versions: 0.18.0, 0.18.1
> Environment: Running a Mesos on a cluster of Centos 6.5 machines. 180
> GB memory.
> Reporter: Ajay Viswanathan
> Labels: pyspark
>
> This is an error that I get while running fine-grained PySpark on the mesos
> cluster. This comes after running some 200-1000 tasks generally.
> Pyspark code:
> while True:
> sc.parallelize(range(10)).map(lambda n : n*2).collect()
> Error log:
> (In console)
> ERROR DAGSchedulerActorSupervisor: eventProcesserActor failed due to the
> error EOF reached before Python server acknowledged; shutting down
> SparkContext
> Traceback (most recent call last):
> File "<stdin>", line 2, in <module>
> File ".../spark-1.0.0/python/pyspark/rdd.py", line 583, in collect
> bytesInJava = self._jrdd.collect().iterator()
> File ".../spark-1.0.0/python/lib/py4j-0.8.1-src.zip/py4j/java_gateway.py",
> line 537,
> File ".../spark-1.0.0/python/lib/py4j-0.8.1-src.zip/py4j/protocol.py", line
> 300, in
> py4j.protocol.Py4JJavaError: An error occurred while calling o847.collect.
> org.apache.spark.SparkException: Job 75 cancelled as part of cancellation of
> all jobs
> at
> org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$fail
> at
> org.apache.spark.scheduler.DAGScheduler.handleJobCancellation(DAGScheduler.scala:998)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$doCancelAllJobs$1.apply$mcVI$sp(DAGS
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$doCancelAllJobs$1.apply(DAGScheduler
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$doCancelAllJobs$1.apply(DAGScheduler
> 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$$anonfun$2.applyOrElse(DAGSche
> at
> org.apache.spark.scheduler.DAGSchedulerActorSupervisor$$anonfun$2.applyOrElse(DAGSche
> at
> akka.actor.SupervisorStrategy.handleFailure(FaultHandling.scala:295)
> at
> akka.actor.dungeon.FaultHandling$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.s
> at
> scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
> at
> scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
> at
> scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
> at
> scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
> >>> 14/06/24 02:58:19 ERROR OneForOneStrategy:
> java.lang.UnsupportedOperationException
> at
> org.apache.spark.scheduler.SchedulerBackend$class.killTask(SchedulerBackend.scala:32)
> at
> org.apache.spark.scheduler.cluster.mesos.MesosSchedulerBackend.killTask(MesosSchedule
> at
> org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$cancelTasks$3$$anonfun$apply$1.
> at
> org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$cancelTasks$3$$anonfun$apply$1.
> at
> org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$cancelTasks$3$$anonfun$apply$1.
> at scala.collection.mutable.HashSet.foreach(HashSet.scala:79)
> at
> org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$cancelTasks$3.apply(TaskSchedul
> at
> org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$cancelTasks$3.apply(TaskSchedul
> at scala.Option.foreach(Option.scala:236)
> at
> org.apache.spark.scheduler.TaskSchedulerImpl.cancelTasks(TaskSchedulerImpl.scala:176)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGSchedu
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGSchedu
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGSchedu
> at scala.collection.mutable.HashSet.foreach(HashSet.scala:79)
> at
> org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$fail
> at
> org.apache.spark.scheduler.DAGScheduler.handleJobCancellation(DAGScheduler.scala:998)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$doCancelAllJobs$1.apply$mcVI$sp(DAGS
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$doCancelAllJobs$1.apply(DAGScheduler
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$doCancelAllJobs$1.apply(DAGScheduler
> at scala.collection.mutable.HashSet.foreach(HashSet.scala:79)
> at
> org.apache.spark.scheduler.DAGScheduler.doCancelAllJobs(DAGScheduler.scala:499)
> at
> org.apache.spark.scheduler.DAGSchedulerActorSupervisor$$anonfun$2.applyOrElse(DAGSche
> at
> org.apache.spark.scheduler.DAGSchedulerActorSupervisor$$anonfun$2.applyOrElse(DAGSche
> at
> akka.actor.SupervisorStrategy.handleFailure(FaultHandling.scala:295)
> at
> akka.actor.dungeon.FaultHandling$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.s
> 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)
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