[jira] [Comment Edited] (FLINK-15670) Provide a Kafka Source/Sink pair that aligns Kafka's Partitions and Flink's KeyGroups

["Yuan Mei (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/FLINK-15670?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17019222#comment-17019222 ] 

Yuan Mei edited comment on FLINK-15670 at 1/20/20 6:15 AM:
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I like this idea.

If my understanding correctly, we provide predefined Kafka `keyed and avoid repartition` source/sink pair; users are responsible to create Kafka topic and connect the source to the sink through DataStream API.

Is this solution general/feasible for SQL as well? 


was (Author: ym):
I like this idea.

If understanding correctly, we provide predefined Kafka `keyed and avoid repartition` source/sink pair; users are responsible to create Kafka topic and connect the source to the sink through DataStream API.

Is this solution general/feasible for SQL as well? 

> 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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