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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. -- This message was sent by Atlassian Jira (v8.3.4#803005)