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https://issues.apache.org/jira/browse/FLINK-3899?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15406319#comment-15406319
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Daniel Blazevski commented on FLINK-3899:
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[~fhueske]
I'm happy to take this one if that's OK -- I've worked a bit on FlinkML and
have been learning/playing around with Flink DataStreams, this could be a good
way to dig a bit deeper into Flink's streaming APIs (and possibly later
contribute code)
> Document window processing with Reduce/FoldFunction + WindowFunction
> --------------------------------------------------------------------
>
> Key: FLINK-3899
> URL: https://issues.apache.org/jira/browse/FLINK-3899
> Project: Flink
> Issue Type: Improvement
> Components: Documentation, Streaming
> Affects Versions: 1.1.0
> Reporter: Fabian Hueske
>
> The streaming documentation does not describe how windows can be processed
> with FoldFunction or ReduceFunction and a subsequent WindowFunction. This
> combination allows for eager window aggregation (only a single element is
> kept in the window) and access of the Window object, e.g., to have access to
> the window's start and end time.
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