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Posted to dev@kafka.apache.org by "Bill Bejeck (Jira)" <ji...@apache.org> on 2019/10/03 23:04:01 UTC

[jira] [Resolved] (KAFKA-3705) Support non-key joining in KTable

     [ https://issues.apache.org/jira/browse/KAFKA-3705?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Bill Bejeck resolved KAFKA-3705.
--------------------------------
    Resolution: Fixed

> Support non-key joining in KTable
> ---------------------------------
>
>                 Key: KAFKA-3705
>                 URL: https://issues.apache.org/jira/browse/KAFKA-3705
>             Project: Kafka
>          Issue Type: New Feature
>          Components: streams
>            Reporter: Guozhang Wang
>            Assignee: Adam Bellemare
>            Priority: Major
>              Labels: api, kip
>             Fix For: 2.4.0
>
>
> KIP-213: [https://cwiki.apache.org/confluence/display/KAFKA/KIP-213+Support+non-key+joining+in+KTable]
> Today in Kafka Streams DSL, KTable joins are only based on keys. If users want to join a KTable A by key {{a}} with another KTable B by key {{b}} but with a "foreign key" {{a}}, and assuming they are read from two topics which are partitioned on {{a}} and {{b}} respectively, they need to do the following pattern:
> {code:java}
> tableB' = tableB.groupBy(/* select on field "a" */).agg(...); // now tableB' is partitioned on "a"
> tableA.join(tableB', joiner);
> {code}
> Even if these two tables are read from two topics which are already partitioned on {{a}}, users still need to do the pre-aggregation in order to make the two joining streams to be on the same key. This is a draw-back from programability and we should fix it.



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