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https://issues.apache.org/jira/browse/FLINK-2261?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14596574#comment-14596574
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ASF GitHub Bot commented on FLINK-2261:
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GitHub user gyfora opened a pull request:
https://github.com/apache/flink/pull/860
[FLINK-2261] [streaming] Remove reduce/fold/aggregations from DataStream
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/gyfora/flink FLINK-2261
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/flink/pull/860.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #860
----
commit e9ec12aa3f68fe68c3904f230103a590b66f0e2c
Author: Gyula Fora <[email protected]>
Date: 2015-06-22T19:33:28Z
[FLINK-2261] [streaming] Remove reduce/fold/aggregations from DataStream
----
> Remove reduce/aggregation from DataStream
> -----------------------------------------
>
> Key: FLINK-2261
> URL: https://issues.apache.org/jira/browse/FLINK-2261
> Project: Flink
> Issue Type: Improvement
> Components: Java API, Scala API, Streaming
> Affects Versions: 0.10
> Reporter: Gyula Fora
> Assignee: Gyula Fora
>
> Currently we have reduce and aggregation methods for non-grouped DataStreams
> as well, which will produce local aggregates depending on the parallelism of
> the operator.
> This behaviour is neither intuitive nor useful as it only produces sensible
> results if the user specifically sets the parallelism to 1 which should not
> be encouraged.
> I would like to remove these methods from the DataStream api and only keep it
> for GroupedDataStreams and WindowedDataStream where the aggregation is either
> executed per-key or per-window.
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