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Posted to issues@flink.apache.org by "Jiayi Liao (Jira)" <ji...@apache.org> on 2020/02/11 14:15:00 UTC

[jira] [Updated] (FLINK-16001) Avoid using Java Streams in construction of ExecutionGraph

     [ https://issues.apache.org/jira/browse/FLINK-16001?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Jiayi Liao updated FLINK-16001:
-------------------------------
    Description: 
I think we should avoid {{Java Streams}} in construction of {{ExecutionGraph}} like function {{toPipelinedRegionsSet}} in {{PipelinedRegionComputeUtil}} because the job submission is definitely performance sensitive, especially when {{distinctRegions}} has a large cardinality.

Also includes some other places in package {{org.apache.flink.runtime.executiongraph}}

cc [~trohrmann] [~gjy] [~zhuzh] 

  was:
I think we should avoid {{Java Streams}} in construction of {{ExecutionGraph}} like function {{toPipelinedRegionsSet}} in {{PipelinedRegionComputeUtil}} because the job submission is definitely performance sensitive, especially when {{distinctRegions}} has a large cardinality.

Also includes some other places in package {{org.apache.flink.runtime.executiongraph}}

cc [~trohrmann] [~zhuzh] 


> Avoid using Java Streams in construction of ExecutionGraph
> ----------------------------------------------------------
>
>                 Key: FLINK-16001
>                 URL: https://issues.apache.org/jira/browse/FLINK-16001
>             Project: Flink
>          Issue Type: Improvement
>          Components: Runtime / Coordination
>    Affects Versions: 1.10.0
>            Reporter: Jiayi Liao
>            Priority: Major
>
> I think we should avoid {{Java Streams}} in construction of {{ExecutionGraph}} like function {{toPipelinedRegionsSet}} in {{PipelinedRegionComputeUtil}} because the job submission is definitely performance sensitive, especially when {{distinctRegions}} has a large cardinality.
> Also includes some other places in package {{org.apache.flink.runtime.executiongraph}}
> cc [~trohrmann] [~gjy] [~zhuzh] 



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