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https://issues.apache.org/jira/browse/SPARK-3005?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14095285#comment-14095285
 ] 

Xu Zhongxing commented on SPARK-3005:
-------------------------------------

A related question: why does fined-grain mode and coarse-grained mode perform 
differently? Neither of them implement the killTask() method.

> 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)



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