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From "Guozhang Wang (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (KAFKA-5661) Develop and understanding of how to tune transactions for optimal performance
Date Sat, 23 Sep 2017 04:28:12 GMT

     [ https://issues.apache.org/jira/browse/KAFKA-5661?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Guozhang Wang updated KAFKA-5661:
---------------------------------
    Fix Version/s:     (was: 1.0.0)
                   1.1.0

> 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: 1.1.0
>
>
> 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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