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https://issues.apache.org/jira/browse/FLINK-2405?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14642448#comment-14642448
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ASF GitHub Bot commented on FLINK-2405:
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Github user gyfora commented on the pull request:
https://github.com/apache/flink/pull/936#issuecomment-125128344
I agree that it's not optimal, but I couldn't figure out a better way,
let's here Till :)
Btw I think you can write: doIt( a => a + 3 , false) so its not all that bad
> 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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