[jira] [Updated] (KAFKA-4609) KTable/KTable join followed by groupBy and aggregate/count can result in incorrect results

["Guozhang Wang (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/KAFKA-4609?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Guozhang Wang updated KAFKA-4609:
---------------------------------
    Component/s: streams

> KTable/KTable join followed by groupBy and aggregate/count can result in incorrect results
> ------------------------------------------------------------------------------------------
>
>                 Key: KAFKA-4609
>                 URL: https://issues.apache.org/jira/browse/KAFKA-4609
>             Project: Kafka
>          Issue Type: Bug
>          Components: streams
>    Affects Versions: 0.10.1.1, 0.10.2.0
>            Reporter: Damian Guy
>            Assignee: Damian Guy
>
> When caching is enabled, KTable/KTable joins can result in duplicate values being emitted. This will occur if there were updates to the same key in both tables. Each table is flushed independently, and each table will trigger the join, so you get two results for the same key. 
> If we subsequently perform a groupBy and then aggregate operation we will now process these duplicates resulting in incorrect aggregated values. For example count will be double the value it should be.



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