You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@kafka.apache.org by "Jan Filipiak (JIRA)" <ji...@apache.org> on 2017/01/17 16:22:26 UTC

[jira] [Issue Comment Deleted] (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 ]

Jan Filipiak updated KAFKA-3705:
--------------------------------
    Comment: was deleted

(was: Hi, with regard of what I am trying here, the GlobalKTable is not usefull.
 It could be usefull if its source would also emmit change events. (I would still have todo the range lookup but i could save a repartition of my "bigger" table) The current design is not usuable here. :'(   )

> 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
>              Labels: api
>
> 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.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)