Cluster is running on commit 2af481a
On Sun, Apr 29, 2018 at 9:59 PM, Amit Jain <aj201...@gmail.com> wrote: > Hi, > > We are running numbers of batch jobs in Flink 1.5 cluster and few of those > are getting stuck at random. These jobs having the following failure after > which operator status changes to CANCELED and stuck to same. > > Please find complete TM's log at > https://gist.github.com/imamitjain/066d0e99990ee24f2da1ddc83eba2012 > > > 2018-04-29 14:57:24,437 INFO org.apache.flink.runtime.taskmanager.Task > - Producer 98f5976716234236dc69fb0e82a0cc34 of partition > 5b8dd5ac2df14266080a8e049defbe38 disposed. Cancelling execution. > org.apache.flink.runtime.jobmanager.PartitionProducerDisposedException: > Execution 98f5976716234236dc69fb0e82a0cc34 producing partition > 5b8dd5ac2df14266080a8e049defbe38 has already been disposed. > at > org.apache.flink.runtime.jobmaster.JobMaster.requestPartitionState(JobMaster.java:610) > at sun.reflect.GeneratedMethodAccessor107.invoke(Unknown Source) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:498) > at > org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcInvocation(AkkaRpcActor.java:210) > at > org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleMessage(AkkaRpcActor.java:154) > at > org.apache.flink.runtime.rpc.akka.FencedAkkaRpcActor.handleMessage(FencedAkkaRpcActor.java:69) > at > org.apache.flink.runtime.rpc.akka.AkkaRpcActor.lambda$onReceive$1(AkkaRpcActor.java:132) > at akka.actor.ActorCell$$anonfun$become$1.applyOrElse(ActorCell.scala:544) > at akka.actor.Actor$class.aroundReceive(Actor.scala:502) > at akka.actor.UntypedActor.aroundReceive(UntypedActor.scala:95) > at akka.actor.ActorCell.receiveMessage(ActorCell.scala:526) > at akka.actor.ActorCell.invoke(ActorCell.scala:495) > at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:257) > at akka.dispatch.Mailbox.run(Mailbox.scala:224) > at akka.dispatch.Mailbox.exec(Mailbox.scala:234) > 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 > Amit
