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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 05:35:40 UTC

[jira] [Updated] (SPARK-6462) UpdateStateByKey should allow inner join of new with old keys

     [ https://issues.apache.org/jira/browse/SPARK-6462?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-6462:
--------------------------------
    Labels: bulk-closed  (was: )

> 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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