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From "Jingsong Lee (Jira)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-14735) Improve batch schedule check input consumable performance
Date Fri, 15 Nov 2019 14:05:00 GMT

    [ https://issues.apache.org/jira/browse/FLINK-14735?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16975119#comment-16975119
] 

Jingsong Lee commented on FLINK-14735:
--------------------------------------

Thanks [~sewen] for spotting, got it, "heartbeat.timeout" is right.

> Improve batch schedule check input consumable performance
> ---------------------------------------------------------
>
>                 Key: FLINK-14735
>                 URL: https://issues.apache.org/jira/browse/FLINK-14735
>             Project: Flink
>          Issue Type: Sub-task
>          Components: Runtime / Task
>            Reporter: Jingsong Lee
>            Priority: Major
>             Fix For: 1.10.0
>
>
> Now if we launch batch job with 1000+ parallelism:
> Even if we set the akka timeout of 2 minutes, the heartbeat is likely to timeout.
>  JobMaster is buzy:
> {code:java}
> java.lang.Thread.State: RUNNABLE
>         at java.util.stream.ReferencePipeline$3$1.accept(ReferencePipeline.java:193)
>         at java.util.Spliterators$ArraySpliterator.tryAdvance(Spliterators.java:958)
>         at java.util.stream.ReferencePipeline.forEachWithCancel(ReferencePipeline.java:126)
>         at java.util.stream.AbstractPipeline.copyIntoWithCancel(AbstractPipeline.java:498)
>         at java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:485)
>         at java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:471)
>         at java.util.stream.MatchOps$MatchOp.evaluateSequential(MatchOps.java:230)
>         at java.util.stream.MatchOps$MatchOp.evaluateSequential(MatchOps.java:196)
>         at java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234)
>         at java.util.stream.ReferencePipeline.anyMatch(ReferencePipeline.java:449)
>         at org.apache.flink.runtime.executiongraph.ExecutionVertex.isInputConsumable(ExecutionVertex.java:824)
>         at org.apache.flink.runtime.executiongraph.ExecutionVertex$$Lambda$257/564237119.test(Unknown
Source)
>         at java.util.stream.MatchOps$2MatchSink.accept(MatchOps.java:119)
>         at java.util.stream.Streams$RangeIntSpliterator.tryAdvance(Streams.java:89)
>         at java.util.stream.IntPipeline.forEachWithCancel(IntPipeline.java:162)
>         at java.util.stream.AbstractPipeline.copyIntoWithCancel(AbstractPipeline.java:498)
>         at java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:485)
>         at java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:471)
>         at java.util.stream.MatchOps$MatchOp.evaluateSequential(MatchOps.java:230)
>         at java.util.stream.MatchOps$MatchOp.evaluateSequential(MatchOps.java:196)
>         at java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234)
>         at java.util.stream.IntPipeline.allMatch(IntPipeline.java:482)
>         at org.apache.flink.runtime.executiongraph.ExecutionVertex.checkInputDependencyConstraints(ExecutionVertex.java:811)
>         at org.apache.flink.runtime.executiongraph.Execution.scheduleOrUpdateConsumers(Execution.java:889)
>         at org.apache.flink.runtime.executiongraph.Execution.markFinished(Execution.java:1074)
>         at org.apache.flink.runtime.executiongraph.ExecutionGraph.updateStateInternal(ExecutionGraph.java:1597)
>         at org.apache.flink.runtime.executiongraph.ExecutionGraph.updateState(ExecutionGraph.java:1570)
>         at org.apache.flink.runtime.scheduler.SchedulerBase.updateTaskExecutionState(SchedulerBase.java:424)
>         at org.apache.flink.runtime.jobmaster.JobMaster.updateTaskExecutionState(JobMaster.java:380)
> {code}



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