[
https://issues.apache.org/jira/browse/FLINK-4271?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15397004#comment-15397004
]
Jark Wu commented on FLINK-4271:
--------------------------------
The CoGroupStream will construct the following graph.
{code}
source -> MAP ---
|-> WindowOp -> Sink
source -> MAP ---
{code}
By now , the MAP and WindowOp can not set parallelism. We can keep the MAP has
same parallelism as previous operator. And we can change
{{WindowedStream.apply}} to return a {{SingleOutputStreamOperator}} instead of
{{DataStream}}, so that we can change WindowOp's parallelism.
> 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)
