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https://issues.apache.org/jira/browse/FLINK-14735?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16974209#comment-16974209
]
Zhu Zhu commented on FLINK-14735:
---------------------------------
Here's a sample test case([testInputConstraintALLPerf
|https://github.com/zhuzhurk/flink/commit/0215526015ea8c2fd82cbaa875a726f25d29f284])
to produce this issue.
It takes ~30s in my local environment.
With the improvement considering ALL-to-ALL edge
([commit|https://github.com/zhuzhurk/flink/commit/b4a8cb0bca1aefbda68a7a3d9c1092cb9bed2e0c]),
it takes ~50ms.
With Java Streams refactored
([commit|https://github.com/zhuzhurk/flink/commit/79bda27b6b898cb131a4384b228c6aa82a157469]),
it takes ~15s.
> 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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