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Re: is there a config to ask taskmanager to keep retrying connect to jobmanager after Disassociated?


when I debug the jobmanager and below is the error log in task manager:
2018-06-04 17:16:33,295 INFO 
org.apache.flink.runtime.taskexecutor.TaskExecutor            - The
heartbeat of ResourceManager with id 35df0455efc2fb6fa3f2467f7f5d2ba1 timed
out.
2018-06-04 17:16:33,297 DEBUG
org.apache.flink.runtime.taskexecutor.TaskExecutor            - Close
ResourceManager connection 35df0455efc2fb6fa3f2467f7f5d2ba1.
java.util.concurrent.TimeoutException: The heartbeat of ResourceManager with
id 35df0455efc2fb6fa3f2467f7f5d2ba1 timed out.
        at
org.apache.flink.runtime.taskexecutor.TaskExecutor$ResourceManagerHeartbeatListener.lambda$notifyHeartbeatTimeout$0(TaskExecutor.java:1553)
        at
org.apache.flink.runtime.taskexecutor.TaskExecutor$ResourceManagerHeartbeatListener$$Lambda$26/1975100911.run(Unknown
Source)
        at
org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRunAsync(AkkaRpcActor.java:295)
        at
org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleMessage(AkkaRpcActor.java:150)
        at
org.apache.flink.runtime.rpc.akka.AkkaRpcActor.lambda$onReceive$1(AkkaRpcActor.java:132)
        at
org.apache.flink.runtime.rpc.akka.AkkaRpcActor$$Lambda$12/1732386307.apply(Unknown
Source)
        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)



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