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https://issues.apache.org/jira/browse/FLINK-2283?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14743590#comment-14743590
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Gyula Fora commented on FLINK-2283:
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On the other hand forcing the users to use the windowing abstractions to this
clearly non-windowed operations is rather artificial. Also this implementation
is probably as lightweight as it gets as it doesn't have the unnecessary
windowing logic.
And here the state is not infinite , 1 object per key, and is stored in the
state backend trivially.
I think we should not disregard this side either.
> Make grouped reduce/fold/aggregations stateful using Partitioned state
> ----------------------------------------------------------------------
>
> Key: FLINK-2283
> URL: https://issues.apache.org/jira/browse/FLINK-2283
> Project: Flink
> Issue Type: Improvement
> Components: Streaming
> Affects Versions: 0.10
> Reporter: Gyula Fora
> Assignee: Márton Balassi
> Priority: Minor
>
> Currently the inner state of the grouped aggregations are not persisted as an
> operator state.
> These operators should be reimplemented to use the newly introduced
> partitioned state abstractions which will make them fault tolerant and
> scalable for the future.
> A suggested implementation would be to use a stateful mapper to implement the
> desired behaviour.
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