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https://issues.apache.org/jira/browse/SPARK-6462?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-6462.
---------------------------------
    Resolution: Incomplete

> UpdateStateByKey should allow inner join of new with old keys
> -------------------------------------------------------------
>
>                 Key: SPARK-6462
>                 URL: https://issues.apache.org/jira/browse/SPARK-6462
>             Project: Spark
>          Issue Type: Improvement
>          Components: DStreams
>    Affects Versions: 1.3.0
>            Reporter: Andre Schumacher
>            Priority: Major
>              Labels: bulk-closed
>
> In a nutshell: provide a (inner join) instead of a cogroup for 
> updateStateByKey in StateDStream.
> Details:
> It is common to read data (saw weblog data) from a streaming source (say 
> Kafka) and each time update the state of a relatively small number of keys.
> If only the state changes need to be propagated to a downstream sink then one 
> could avoid filtering out unchanged state in the user program and instead 
> provide this functionality in the API (say by adding a 
> updateStateChangesByKey method).
> Note that this is related but not identical to:
> https://issues.apache.org/jira/browse/SPARK-2629



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