You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Xu Zhongxing (JIRA)" <ji...@apache.org> on 2014/08/13 10:18:11 UTC
[jira] [Created] (SPARK-3005) Spark with Mesos fine-grained mode
throws UnsupportedOperationException in MesosSchedulerBackend.killTask()
Xu Zhongxing created SPARK-3005:
-----------------------------------
Summary: Spark with Mesos fine-grained mode throws UnsupportedOperationException in MesosSchedulerBackend.killTask()
Key: SPARK-3005
URL: https://issues.apache.org/jira/browse/SPARK-3005
Project: Spark
Issue Type: Bug
Components: Spark Core
Affects Versions: 1.0.2
Environment: Spark 1.0.2, Mesos 0.18.1, spark-cassandra-connector
Reporter: Xu Zhongxing
I am using Spark, Mesos, spark-cassandra-connector to do some work on a cassandra cluster.
During the job running, I killed the Cassandra daemon to simulate some failure cases. This results in task failures.
If I run the job in Mesos coarse-grained mode, the spark driver program throws an exception and shutdown cleanly.
But when I run the job in Mesos fine-grained mode, the spark driver program hangs.
The spark log is:
INFO [spark-akka.actor.default-dispatcher-4] 2014-08-13 15:58:15,794 Logging.scala (line 58) Cancelling stage 1
INFO [spark-akka.actor.default-dispatcher-4] 2014-08-13 15:58:15,797 Logging.scala (line 79) Could not cancel tasks for stage 1
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:1075)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages$1.apply(DAGScheduler.scala:1061)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages$1.apply(DAGScheduler.scala:1061)
at scala.collection.mutable.HashSet.foreach(HashSet.scala:79)
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1061)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1033)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1031)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1031)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:635)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:635)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:635)
at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1234)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
at akka.actor.ActorCell.invoke(ActorCell.scala:456)
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
at akka.dispatch.Mailbox.run(Mailbox.scala:219)
at akka.dispatch.ForkJoinExecutorConfigurator$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)
--
This message was sent by Atlassian JIRA
(v6.2#6252)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org