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https://issues.apache.org/jira/browse/FLINK-14038?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16932982#comment-16932982
 ] 

liupengcheng commented on FLINK-14038:
--------------------------------------

[~zhuzh] [~trohrmann] This PR not only provide gc logs, but also heapdump, I 
don't think the simple docs in [Getting 
Help|https://flink.apache.org/gettinghelp.html#got-an-error-message]  take 
place of it. In online environment, the time cost is expensive, expecially for 
routine tasks.  If we just provide documents, then user must rerun the 
application,  and also the exceptions may varies, that depends on when OOM or 
long full gc happen. What's more, I think the options is not simple for user to 
get these infos (gc logs, heapdump), but they are basically needed for 
debugging an application.

If there are no drawbacks or regressions, I think we should made it done 
already as an default options for users.

 

> ExecutionGraph deploy failed due to akka timeout
> ------------------------------------------------
>
>                 Key: FLINK-14038
>                 URL: https://issues.apache.org/jira/browse/FLINK-14038
>             Project: Flink
>          Issue Type: Bug
>          Components: Runtime / Task
>    Affects Versions: 1.9.0
>         Environment: Flink on yarn
> Flink 1.9.0
>            Reporter: liupengcheng
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> When launching the flink application, the following error was reported, I 
> downloaded the operator logs, but still have no clue. The operator logs 
> provided no useful information and was cancelled directly.
> JobManager logs:
> {code:java}
> java.lang.IllegalStateException: Update task on TaskManager 
> container_e860_1567429198842_571077_01_000006 @ zjy-hadoop-prc-st320.bj 
> (dataPort=50990) failed due to:
>       at 
> org.apache.flink.runtime.executiongraph.Execution.lambda$sendUpdatePartitionInfoRpcCall$14(Execution.java:1395)
>       at 
> java.util.concurrent.CompletableFuture.uniWhenComplete(CompletableFuture.java:760)
>       at 
> java.util.concurrent.CompletableFuture$UniWhenComplete.tryFire(CompletableFuture.java:736)
>       at 
> java.util.concurrent.CompletableFuture$Completion.run(CompletableFuture.java:442)
>       at 
> org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRunAsync(AkkaRpcActor.java:397)
>       at 
> org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcMessage(AkkaRpcActor.java:190)
>       at 
> org.apache.flink.runtime.rpc.akka.FencedAkkaRpcActor.handleRpcMessage(FencedAkkaRpcActor.java:74)
>       at 
> org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleMessage(AkkaRpcActor.java:152)
>       at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:26)
>       at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:21)
>       at scala.PartialFunction$class.applyOrElse(PartialFunction.scala:123)
>       at akka.japi.pf.UnitCaseStatement.applyOrElse(CaseStatements.scala:21)
>       at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:170)
>       at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:171)
>       at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:171)
>       at akka.actor.Actor$class.aroundReceive(Actor.scala:517)
>       at akka.actor.AbstractActor.aroundReceive(AbstractActor.scala:225)
>       at akka.actor.ActorCell.receiveMessage(ActorCell.scala:592)
>       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$WorkQueue.runTask(ForkJoinPool.java:1339)
>       at akka.dispatch.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
>       at 
> akka.dispatch.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
> Caused by: java.util.concurrent.CompletionException: 
> akka.pattern.AskTimeoutException: Ask timed out on 
> [Actor[akka.tcp://fl...@zjy-hadoop-prc-st320.bj:62051/user/taskmanager_0#-171547157]]
>  after [10000 ms]. Message of type 
> [org.apache.flink.runtime.rpc.messages.RemoteRpcInvocation]. A typical reason 
> for `AskTimeoutException` is that the recipient actor didn't send a reply.
>       at 
> java.util.concurrent.CompletableFuture.encodeThrowable(CompletableFuture.java:292)
>       at 
> java.util.concurrent.CompletableFuture.completeThrowable(CompletableFuture.java:308)
>       at 
> java.util.concurrent.CompletableFuture.uniApply(CompletableFuture.java:593)
>       at 
> java.util.concurrent.CompletableFuture$UniApply.tryFire(CompletableFuture.java:577)
>       at 
> java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:474)
>       at 
> java.util.concurrent.CompletableFuture.completeExceptionally(CompletableFuture.java:1977)
>       at 
> org.apache.flink.runtime.concurrent.FutureUtils$1.onComplete(FutureUtils.java:871)
>       at akka.dispatch.OnComplete.internal(Future.scala:263)
>       at akka.dispatch.OnComplete.internal(Future.scala:261)
>       at akka.dispatch.japi$CallbackBridge.apply(Future.scala:191)
>       at akka.dispatch.japi$CallbackBridge.apply(Future.scala:188)
>       at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:36)
>       at 
> org.apache.flink.runtime.concurrent.Executors$DirectExecutionContext.execute(Executors.java:74)
>       at 
> scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:44)
>       at 
> scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:252)
>       at 
> akka.pattern.PromiseActorRef$$anonfun$1.apply$mcV$sp(AskSupport.scala:644)
>       at akka.actor.Scheduler$$anon$4.run(Scheduler.scala:205)
>       at 
> scala.concurrent.Future$InternalCallbackExecutor$.unbatchedExecute(Future.scala:601)
>       at 
> scala.concurrent.BatchingExecutor$class.execute(BatchingExecutor.scala:109)
>       at 
> scala.concurrent.Future$InternalCallbackExecutor$.execute(Future.scala:599)
>       at 
> akka.actor.LightArrayRevolverScheduler$TaskHolder.executeTask(LightArrayRevolverScheduler.scala:328)
>       at 
> akka.actor.LightArrayRevolverScheduler$$anon$4.executeBucket$1(LightArrayRevolverScheduler.scala:279)
>       at 
> akka.actor.LightArrayRevolverScheduler$$anon$4.nextTick(LightArrayRevolverScheduler.scala:283)
>       at 
> akka.actor.LightArrayRevolverScheduler$$anon$4.run(LightArrayRevolverScheduler.scala:235)
>       at java.lang.Thread.run(Thread.java:748)
> Caused by: akka.pattern.AskTimeoutException: Ask timed out on 
> [Actor[akka.tcp://fl...@zjy-hadoop-prc-st320.bj:62051/user/taskmanager_0#-171547157]]
>  after [10000 ms]. Message of type 
> [org.apache.flink.runtime.rpc.messages.RemoteRpcInvocation]. A typical reason 
> for `AskTimeoutException` is that the recipient actor didn't send a reply.
>       at akka.pattern.PromiseActorRef$$anonfun$2.apply(AskSupport.scala:635)
>       at akka.pattern.PromiseActorRef$$anonfun$2.apply(AskSupport.scala:635)
>       at 
> akka.pattern.PromiseActorRef$$anonfun$1.apply$mcV$sp(AskSupport.scala:648)
>       ... 9 more
> {code}
> operator logs:
> {code:java}
> 2019-09-09 18:34:06,867 INFO  
> org.apache.flink.runtime.taskexecutor.TaskExecutor            - Received task 
> Partition (4/5).
> 2019-09-09 18:34:06,868 INFO  org.apache.flink.runtime.taskmanager.Task       
>               - Partition (4/5) (97d7df744b93f4ee46750bbd6a0113e8) switched 
> from CREATED to DEPLOYING.
> 2019-09-09 18:34:06,870 INFO  org.apache.flink.runtime.taskmanager.Task       
>               - Creating FileSystem stream leak safety net for task Partition 
> (4/5) (97d7df744b93f4ee46750bbd6a0113e8) [DEPLOYING]
> 2019-09-09 18:34:06,870 INFO  org.apache.flink.runtime.taskmanager.Task       
>               - Loading JAR files for task Partition (4/5) 
> (97d7df744b93f4ee46750bbd6a0113e8) [DEPLOYING].
> 2019-09-09 18:34:06,871 INFO  org.apache.flink.runtime.taskmanager.Task       
>               - Registering task at network: Partition (4/5) 
> (97d7df744b93f4ee46750bbd6a0113e8) [DEPLOYING].
> 2019-09-09 18:34:07,075 INFO  org.apache.flink.runtime.taskmanager.Task       
>               - Partition (4/5) (97d7df744b93f4ee46750bbd6a0113e8) switched 
> from DEPLOYING to RUNNING.
> 2019-09-09 18:34:07,255 INFO  
> org.apache.flink.runtime.taskexecutor.TaskExecutor            - Received task 
> Sort-Partition (4/5).
> 2019-09-09 18:34:07,258 INFO  org.apache.flink.runtime.taskmanager.Task       
>               - Sort-Partition (4/5) (a721ca202bc8bf2e2aa4b41b1e4a1091) 
> switched from CREATED to DEPLOYING.
> 2019-09-09 18:34:07,261 INFO  org.apache.flink.runtime.taskmanager.Task       
>               - Creating FileSystem stream leak safety net for task 
> Sort-Partition (4/5) (a721ca202bc8bf2e2aa4b41b1e4a1091) [DEPLOYING]
> 2019-09-09 18:34:07,261 INFO  org.apache.flink.runtime.taskmanager.Task       
>               - Loading JAR files for task Sort-Partition (4/5) 
> (a721ca202bc8bf2e2aa4b41b1e4a1091) [DEPLOYING].
> 2019-09-09 18:34:07,263 INFO  org.apache.flink.runtime.taskmanager.Task       
>               - Registering task at network: Sort-Partition (4/5) 
> (a721ca202bc8bf2e2aa4b41b1e4a1091) [DEPLOYING].
> 2019-09-09 18:34:07,303 INFO  org.apache.flink.runtime.taskmanager.Task       
>               - Sort-Partition (4/5) (a721ca202bc8bf2e2aa4b41b1e4a1091) 
> switched from DEPLOYING to RUNNING.
> 2019-09-09 18:34:54,625 INFO  org.apache.flink.runtime.taskmanager.Task       
>               - Attempting to cancel task DataSource (at 
> org.apache.flink.api.scala.ExecutionEnvironment.createInput(ExecutionEnvironment.scala:390)
>  (org.apache.flink.api.scala.hadoop.mapreduce.HadoopInpu) (5/5) 
> (8c6262b3f802f82d60a1999f2e040a68).
> 2019-09-09 18:34:54,806 INFO  org.apache.flink.runtime.taskmanager.Task       
>               - DataSource (at 
> org.apache.flink.api.scala.ExecutionEnvironment.createInput(ExecutionEnvironment.scala:390)
>  (org.apache.flink.api.scala.hadoop.mapreduce.HadoopInpu) (5/5) 
> (8c6262b3f802f82d60a1999f2e040a68) switched from RUNNING to CANCELING.
> 2019-09-09 18:34:54,806 INFO  org.apache.flink.runtime.taskmanager.Task       
>               - Triggering cancellation of task code DataSource (at 
> org.apache.flink.api.scala.ExecutionEnvironment.createInput(ExecutionEnvironment.scala:390)
>  (org.apache.flink.api.scala.hadoop.mapreduce.HadoopInpu) (5/5) 
> (8c6262b3f802f82d60a1999f2e040a68).
> {code}
> I checked the network and it's good. so maybe there are some problems with 
> the taskManager? 



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