Hi experts, I am new to flink, just run a simple job in IDE, but there are many exceptions thrown when job finished(see blow). job source is bounded, read from a local file and run in streaming mode. there is a customer sink also, simply write to local file. It seems that each time I run, I got different lines of output. I am not sure all data is flushed into disk. please help.
Thanks. org.apache.flink.util.FlinkException: The TaskExecutor is shutting down. at org.apache.flink.runtime.taskexecutor.TaskExecutor.onStop(TaskExecutor.java:438) at org.apache.flink.runtime.rpc.RpcEndpoint.internalCallOnStop(RpcEndpoint.java:214) at org.apache.flink.runtime.rpc.akka.AkkaRpcActor$StartedState.terminate(AkkaRpcActor.java:563) at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleControlMessage(AkkaRpcActor.java:186) at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:26) at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:21) at scala.PartialFunction.applyOrElse(PartialFunction.scala:127) at scala.PartialFunction.applyOrElse$(PartialFunction.scala:126) at akka.japi.pf.UnitCaseStatement.applyOrElse(CaseStatements.scala:21) at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:175) at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:176) at akka.actor.Actor.aroundReceive(Actor.scala:517) at akka.actor.Actor.aroundReceive$(Actor.scala:515) at akka.actor.AbstractActor.aroundReceive(AbstractActor.scala:225) at akka.actor.ActorCell.receiveMessage$$$capture(ActorCell.scala:592) at akka.actor.ActorCell.receiveMessage(ActorCell.scala) at akka.actor.ActorCell.invoke(ActorCell.scala:561) at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:258) at akka.dispatch.Mailbox.run(Mailbox.scala:225) at akka.dispatch.Mailbox.exec(Mailbox.scala:235) at akka.dispatch.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) at akka.dispatch.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339) at akka.dispatch.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) at akka.dispatch.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
