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https://issues.apache.org/jira/browse/FLINK-9056?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16421685#comment-16421685
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mingleizhang commented on FLINK-9056:
-------------------------------------
Hi, [~yuqi] I think this test done with master branch. It is not besides branch
1.5.0 what you said. It means it will affect 1.5.0 release if we do not fix
this issue.
> Job submission fails with AskTimeoutException if not enough slots are
> available
> -------------------------------------------------------------------------------
>
> Key: FLINK-9056
> URL: https://issues.apache.org/jira/browse/FLINK-9056
> Project: Flink
> Issue Type: Improvement
> Components: Job-Submission
> Affects Versions: 1.5.0
> Environment: * FLIP-6 enabled
> * Local Flink instance with fixed number of TMs
> * Job parallelism exceeds available slots
> Reporter: Fabian Hueske
> Assignee: yuqi
> Priority: Major
>
> The error message if a job submission fails due to lack of available slots is
> not helpful:
> {code:java}
> Caused by: akka.pattern.AskTimeoutException: Ask timed out on
> [Actor[akka://flink/user/8f0fabba-4021-45b6-a1f7-b8afd6627640#-574617182|#-574617182]]
> after [300000 ms]. Sender[null] sent message of type
> "org.apache.flink.runtime.rpc.messages.LocalRpcInvocation".
> at
> akka.pattern.PromiseActorRef$$anonfun$1.apply$mcV$sp(AskSupport.scala:604)
> at akka.actor.Scheduler$$anon$4.run(Scheduler.scala:126)
> at
> scala.concurrent.Future$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:329)
> at
> akka.actor.LightArrayRevolverScheduler$$anon$4.executeBucket$1(LightArrayRevolverScheduler.scala:280)
> at
> akka.actor.LightArrayRevolverScheduler$$anon$4.nextTick(LightArrayRevolverScheduler.scala:284)
> at
> akka.actor.LightArrayRevolverScheduler$$anon$4.run(LightArrayRevolverScheduler.scala:236)
> at java.lang.Thread.run(Thread.java:748)
> {code}
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