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Posted to issues@flink.apache.org by "Dong Lin (Jira)" <ji...@apache.org> on 2023/04/19 09:06:00 UTC

[jira] [Commented] (FLINK-31160) Support join/cogroup in BroadcastUtils.withBroadcastStream

    [ https://issues.apache.org/jira/browse/FLINK-31160?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17713992#comment-17713992 ] 

Dong Lin commented on FLINK-31160:
----------------------------------

Merged to apache/flink-ml master branch e843b300b47a1ee3446296a359528a6b39566eed.

> Support join/cogroup in BroadcastUtils.withBroadcastStream
> ----------------------------------------------------------
>
>                 Key: FLINK-31160
>                 URL: https://issues.apache.org/jira/browse/FLINK-31160
>             Project: Flink
>          Issue Type: Improvement
>          Components: Library / Machine Learning
>    Affects Versions: ml-2.0.0, ml-2.1.0, ml-2.2.0
>            Reporter: Zhipeng Zhang
>            Assignee: Zhipeng Zhang
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: ml-2.3.0
>
>
> Currently BroadcastUtils#withBroadcastStream does not support cogroup/join, since we restricted that users can only introduce one extra operator in the specified lambda function.
>  
> To support using join/cogroup in BroadcastUtils#withBroadcastStream, we would like to relax the restriction such that users can introduce more than more extra operator, but only the output operator can access the broadcast variables.



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