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Matthias J. Sax commented on KAFKA-5661: ---------------------------------------- Moving all major/minor/trivial tickets that are not merged yet out of 2.2 release. > Develop and understanding of how to tune transactions for optimal performance > ----------------------------------------------------------------------------- > > Key: KAFKA-5661 > URL: https://issues.apache.org/jira/browse/KAFKA-5661 > Project: Kafka > Issue Type: Sub-task > Affects Versions: 0.11.0.0 > Reporter: Apurva Mehta > Assignee: Apurva Mehta > Priority: Major > Fix For: 2.2.0 > > > Currently, we don't have an idea of the throughput curve for transactions > across a different range of workloads. > Thus we would like to understand how to tune transactions so that they are > viable across a broad range of work loads. For instance, what knobs can you > tweak if you use small messages to yet get acceptable transactional > performance? We don't understand the performance curve across variables like > message size, batch size, transaction duration, linger.ms, etc., and it would > be good to get an understanding of this area and publish recommended > configurations for different workloads. -- This message was sent by Atlassian JIRA (v7.6.3#76005)