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https://issues.apache.org/jira/browse/KAFKA-7224?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17097041#comment-17097041
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Maatari commented on KAFKA-7224:
--------------------------------

Finally, I don't think providing that would only support my use case, i think 
solving this, go in the direction of the statement

 
{quote}Close the gap between the semantics of KTables in streams and tables in 
relational databases. It is common practice to capture changes as they are made 
to tables in a RDBMS into Kafka topics (JDBC-connect, Debezium, Maxwell). These 
entities typically have multiple one-to-many relationship. Usually RDBMSs offer 
good support to resolve this relationship with a join. Streams falls short here 
and the workaround (group by - join - lateral view) is not well supported as 
well and is not in line with the idea of record based processing.
{quote}
found here

[https://cwiki.apache.org/confluence/display/KAFKA/KIP-213+Support+non-key+joining+in+KTable]

 

> KIP-328: Add spill-to-disk for Suppression
> ------------------------------------------
>
>                 Key: KAFKA-7224
>                 URL: https://issues.apache.org/jira/browse/KAFKA-7224
>             Project: Kafka
>          Issue Type: Improvement
>          Components: streams
>            Reporter: John Roesler
>            Priority: Major
>
> As described in 
> [https://cwiki.apache.org/confluence/display/KAFKA/KIP-328%3A+Ability+to+suppress+updates+for+KTables]
> Following on KAFKA-7223, implement the spill-to-disk buffering strategy.



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