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https://issues.apache.org/jira/browse/FLINK-2550?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14704556#comment-14704556
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Aljoscha Krettek commented on FLINK-2550:
-----------------------------------------
I think there are still some issues that need to be ironed out (and/or put into
design documents):
- Window Semantics
- Window Meta Information
The first one concerns how windows are specified. The second one concerns
information that the user might want to have about a window. For example in
this:
{code:java}
DataStream input = ...
DataStram result = input
.keyBy(...)
.window(10 Sec).every(2 sec)
.sum(...)
.map(new MyUserFunction)
{code}
The user function {{MyUserFunction}} gets the aggregation result for each
window but it has no way of discovering from which window the data actually
came. Also the "from-which-window" only makes sense for certain types of
windows, such as time windows. So I'm not quite sure yet how this should be
represented in the API.
> Rework DataStream API
> ---------------------
>
> Key: FLINK-2550
> URL: https://issues.apache.org/jira/browse/FLINK-2550
> Project: Flink
> Issue Type: Improvement
> Components: Streaming
> Affects Versions: 0.9
> Reporter: Aljoscha Krettek
> Assignee: Aljoscha Krettek
> Fix For: 0.10
>
>
> After discussions on the mailing list we arrived at a consensus to rework the
> streaming API to make it more fool-proof and easier to use. The resulting
> design document is available here:
> https://cwiki.apache.org/confluence/display/FLINK/Streams+and+Operations+on+Streams
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