When I am trying to run the flink job in standalone cluster I get this error:
java.lang.Exception: TaskManager was lost/killed: ResourceID{resourceId='2961948b9ac490c11c6e41b0ec197e9f'} @ localhost (dataPort=55795) at org.apache.flink.runtime.instance.SimpleSlot.releaseSlot(SimpleSlot.java:217) at org.apache.flink.runtime.instance.SlotSharingGroupAssignment.releaseSharedSlot(SlotSharingGroupAssignment.java:533) at org.apache.flink.runtime.instance.SharedSlot.releaseSlot(SharedSlot.java:192) at org.apache.flink.runtime.instance.Instance.markDead(Instance.java:167) at org.apache.flink.runtime.instance.InstanceManager.unregisterTaskManager(InstanceManager.java:212) at org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1.applyOrElse(JobManager.scala:1143) at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:36) at org.apache.flink.runtime.LeaderSessionMessageFilter$$anonfun$receive$1.applyOrElse(LeaderSessionMessageFilter.scala:36) at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:36) at org.apache.flink.runtime.LogMessages$$anon$1.apply(LogMessages.scala:33) at org.apache.flink.runtime.LogMessages$$anon$1.apply(LogMessages.scala:28) at scala.PartialFunction$class.applyOrElse(PartialFunction.scala:123) at org.apache.flink.runtime.LogMessages$$anon$1.applyOrElse(LogMessages.scala:28) at akka.actor.Actor$class.aroundReceive(Actor.scala:467) at org.apache.flink.runtime.jobmanager.JobManager.aroundReceive(JobManager.scala:118) at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516) at akka.actor.ActorCell.invoke(ActorCell.scala:487) at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:238) at akka.dispatch.Mailbox.run(Mailbox.scala:220) at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:397) at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339) at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)`enter code here` Is there any settings which I have to do to avoid this error?