GitHub user gyfora opened a pull request:
https://github.com/apache/flink/pull/936
[FLINK-2405] [streaming] Added stateful functions to Scala DataStreams
This PR introduces 3 new API methods for the Scala DataStreams that extend
the standard Map, FlatMap, and Filter function with state.
**These methods are:**
*for a DataStream[T]*
* **mapWithState**(fun: (T, Option[S]) => (R, Option[S]), stateByKey:
Boolean = false): DataStream[R]
* **flatMapWithState**( fun: (T, Option[S]) => (TraversableOnce[R],
Option[S]), stateByKey: Boolean = false): DataStream[R]
* **filterWithState**(fun: (T, Option[S]) => (Boolean, Option[S]),
stateByKey: Boolean = false): DataStream[T]
Each stateful transformation takes an optional boolean flag, stateByKey,
which determines whether the state of the function should be kept as local
state (stateByKey=false) or partitioned state (stateByKey = true). Please refer
to these concepts in
https://cwiki.apache.org/confluence/display/FLINK/Stateful+Stream+Processing.
I am open to suggestions whether we should create separate methods for
partitioned state use instead of the boolean flag. I personally prefer the
flags.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/gyfora/flink master
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/flink/pull/936.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #936
----
commit 462b864bff588f5d2c9dfc9c2de95b931a8805c2
Author: Gyula Fora <[email protected]>
Date: 2015-07-25T17:05:56Z
[FLINK-2405] [streaming] Added stateful functions to Scala DataStreams
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