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From "Gyula Fora (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-2283) Make grouped reduce/fold/aggregations stateful using Partitioned state
Date Mon, 14 Sep 2015 14:30:46 GMT

    [ https://issues.apache.org/jira/browse/FLINK-2283?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14743590#comment-14743590

Gyula Fora commented on FLINK-2283:

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

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
> 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

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