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From "Guozhang Wang (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (KAFKA-3705) Support non-key joining in KTable
Date Wed, 27 Jul 2016 22:12:20 GMT

    [ https://issues.apache.org/jira/browse/KAFKA-3705?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15396508#comment-15396508
] 

Guozhang Wang commented on KAFKA-3705:
--------------------------------------

Yeah currently we do not have a windowed-stream table join, and hence the stream is not materialized
but only the table. We can add this join type though in the next release if we feel it is
a common request.

> Support non-key joining in KTable
> ---------------------------------
>
>                 Key: KAFKA-3705
>                 URL: https://issues.apache.org/jira/browse/KAFKA-3705
>             Project: Kafka
>          Issue Type: Bug
>          Components: streams
>            Reporter: Guozhang Wang
>            Assignee: Liquan Pei
>              Labels: api
>             Fix For: 0.10.1.0
>
>
> 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}
> 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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