[jira] [Comment Edited] (FLINK-3899) Document window processing with Reduce/FoldFunction + WindowFunction

["Daniel Blazevski (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/FLINK-3899?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15406319#comment-15406319 ] 

Daniel Blazevski edited comment on FLINK-3899 at 8/3/16 6:04 PM:
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[~fhueske]

I'm happy to take this one if that's OK -- I've contributed a bit to 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)



was (Author: danielblazevski):
[~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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