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Posted to issues@flink.apache.org by "Mandar Mohile (Jira)" <ji...@apache.org> on 2022/10/31 11:57:00 UTC

[jira] [Commented] (FLINK-8712) Cannot execute job with multiple slot sharing groups on LocalExecutor

    [ https://issues.apache.org/jira/browse/FLINK-8712?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17626550#comment-17626550 ] 

Mandar Mohile commented on FLINK-8712:
--------------------------------------

I'm facing this issue in Flink version 1.13.5 when I try setting this for a specific Flink application. I tried setting number of task slots as indicated by [~knaufk] above but things are not working. Any leads regarding this shall indeed be helpful. Thanks.

> Cannot execute job with multiple slot sharing groups on LocalExecutor
> ---------------------------------------------------------------------
>
>                 Key: FLINK-8712
>                 URL: https://issues.apache.org/jira/browse/FLINK-8712
>             Project: Flink
>          Issue Type: Bug
>          Components: Runtime / Task
>    Affects Versions: 1.5.0
>            Reporter: Till Rohrmann
>            Priority: Not a Priority
>              Labels: auto-deprioritized-critical, auto-deprioritized-major, auto-deprioritized-minor
>
> Currently, it is not possible to run a job with multiple slot sharing groups on the LocalExecutor. The problem is that we determine the number of required slots simply by looking for the max parallelism of the job but do not consider slot sharing groups.
>  
> {code:java}
> // set up the streaming execution environment
> final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
> env.setParallelism(1);
> final DataStreamSource<Integer> input = env.addSource(new InfinitySource());
> final SingleOutputStreamOperator<Integer> different = input.map(new MapFunction<Integer, Integer>() {
>    @Override
>    public Integer map(Integer integer) throws Exception {
>       return integer;
>    }
> }).slotSharingGroup("Different");
> different.print();
> // execute program
> env.execute("Flink Streaming Java API Skeleton");{code}



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