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https://issues.apache.org/jira/browse/FLINK-2405?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14644068#comment-14644068
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ASF GitHub Bot commented on FLINK-2405:
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Github user tillrohrmann commented on the pull request:
https://github.com/apache/flink/pull/936#issuecomment-125505397
I think the way the partitioned field of a `StatefulFunction` is set can be
simplified. Currently this happens with via the partitionByStateKey. This is
not very intuitive. It would be easier IMHO to set it directly in the class
instantiation. I opened a PR against Gyula's PR branch.
> Add stateful transformations using lambdas to the Streaming Scala API
> ---------------------------------------------------------------------
>
> Key: FLINK-2405
> URL: https://issues.apache.org/jira/browse/FLINK-2405
> Project: Flink
> Issue Type: New Feature
> Components: Scala API, Streaming
> Reporter: Gyula Fora
> Assignee: Gyula Fora
> Priority: Minor
>
> I propose to extend the Streaming Scala API methods (map, flatmap, filter
> etc) with versions that take stateful functions as lambdas. This would allow
> for a nice functional way of defining stateful transformations:
> Example:
> def mapWithState( fun: (I, Option[S]) => (O, Option[S]), stateByKey: Boolean
> = false)
> The stateByKey optional flag allows the user to partition the state by key
> when applied on a KeyedDataStream.
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