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Posted to jira@kafka.apache.org by "Apurva Mehta (JIRA)" <ji...@apache.org> on 2017/07/26 21:55:00 UTC

[jira] [Created] (KAFKA-5661) Develop and understanding of how to tune transactions for optimal performance

Apurva Mehta created KAFKA-5661:
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             Summary: 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
             Fix For: 1.0.0


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.



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