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Wenlong Lyu commented on FLINK-4271: ------------------------------------ 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. -- This message was sent by Atlassian JIRA (v6.3.4#6332)
