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https://issues.apache.org/jira/browse/FLINK-15670?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17019824#comment-17019824
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Jiangjie Qin commented on FLINK-15670:
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I am wondering how do we expose this feature to the users? One possibility is
to integrate this with interactive queries (i.e. {{#cache()}} method) with an
intermediate result storage set to Kafka. For SQL, a temporary table DDL could
be introduced to mark a materialized temporary table store in Kafka by using
these connectors.
The {{#cache()}} method can also take some configurations which allows user to
set retention time. Something similar can be done for the temp table DDL also.
> Provide a Kafka Source/Sink pair that aligns Kafka's Partitions and Flink's
> KeyGroups
> -------------------------------------------------------------------------------------
>
> Key: FLINK-15670
> URL: https://issues.apache.org/jira/browse/FLINK-15670
> Project: Flink
> Issue Type: New Feature
> Components: API / DataStream, Connectors / Kafka
> Reporter: Stephan Ewen
> Priority: Major
> Labels: usability
> Fix For: 1.11.0
>
>
> This Source/Sink pair would serve two purposes:
> 1. You can read topics that are already partitioned by key and process them
> without partitioning them again (avoid shuffles)
> 2. You can use this to shuffle through Kafka, thereby decomposing the job
> into smaller jobs and independent pipelined regions that fail over
> independently.
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