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https://issues.apache.org/jira/browse/KAFKA-6049?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16199642#comment-16199642
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Guozhang Wang edited comment on KAFKA-6049 at 10/11/17 12:59 AM:
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WIP PR ready at https://github.com/apache/kafka/pull/2975
Needs someone to pick it up, address the left comments, rebase on trunk and
push a new PR to continue.
was (Author: guozhang):
WIP PR ready at
https://github.com/apache/kafka/pull/2975#issuecomment-331275009.
Needs someone to pick it up, address the left comments, rebase on trunk and
push a new PR to continue.
> Kafka Streams: Add Cogroup in the DSL
> -------------------------------------
>
> Key: KAFKA-6049
> URL: https://issues.apache.org/jira/browse/KAFKA-6049
> Project: Kafka
> Issue Type: New Feature
> Components: streams
> Reporter: Guozhang Wang
> Labels: api, needs-kip, user-experience
>
> When multiple streams aggregate together to form a single larger object (eg.
> A shopping website may have a cart stream, a wish list stream, and a
> purchases stream. Together they make up a Customer.), it is very difficult to
> accommodate this in the Kafka-Streams DSL. It generally requires you to group
> and aggregate all of the streams to KTables then make multiple outerjoin
> calls to end up with a KTable with your desired object. This will create a
> state store for each stream and a long chain of ValueJoiners that each new
> record must go through to get to the final object.
> Creating a cogroup method where you use a single state store will:
> Reduce the number of gets from state stores. With the multiple joins when a
> new value comes into any of the streams a chain reaction happens where
> ValueGetters keep calling ValueGetters until we have accessed all state
> stores.
> Slight performance increase. As described above all ValueGetters are called
> also causing all ValueJoiners to be called forcing a recalculation of the
> current joined value of all other streams, impacting performance.
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