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https://issues.apache.org/jira/browse/FLINK-4271?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15397140#comment-15397140
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Wenlong Lyu commented on FLINK-4271:
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I think the solution can be better. Not only the parallelism but also other
attributes of the operator such as uid, name, etc. should be configurable.
Maybe the ```Where``` and ```EqualsTo``` in the ```CoGroupedStreams``` can
provide some interface wrappering the same functions provided in the
```SingleOutputStreamOperator```, I am not sure yet~
> There is no way to set parallelism of operators produced by CoGroupedStreams
> ----------------------------------------------------------------------------
>
> Key: FLINK-4271
> URL: https://issues.apache.org/jira/browse/FLINK-4271
> Project: Flink
> Issue Type: Bug
> Components: DataStream API
> Reporter: Wenlong Lyu
> Assignee: Jark Wu
>
> Currently, CoGroupStreams package the map/keyBy/window operators with a human
> friendly interface, like:
> dataStreamA.cogroup(streamB).where(...).equalsTo().window().apply(), both the
> intermediate operators and final window operators can not be accessed by
> users, and we cannot set attributes of the operators, which make co-group
> hard to use in production environment.
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