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Posted to dev@kafka.apache.org by "Matthias J. Sax (JIRA)" <ji...@apache.org> on 2019/03/01 22:43:00 UTC

[jira] [Resolved] (KAFKA-3826) Sampling on throughput / latency metrics recording in Streams

     [ https://issues.apache.org/jira/browse/KAFKA-3826?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Matthias J. Sax resolved KAFKA-3826.
------------------------------------
    Resolution: Duplicate

> Sampling on throughput / latency metrics recording in Streams
> -------------------------------------------------------------
>
>                 Key: KAFKA-3826
>                 URL: https://issues.apache.org/jira/browse/KAFKA-3826
>             Project: Kafka
>          Issue Type: Bug
>          Components: streams
>            Reporter: Guozhang Wang
>            Priority: Major
>              Labels: architecture, performance
>
> In Kafka Streams we record throughput / latency metrics on EACH processing record, causing a lot of recording overhead. Instead, we should consider statistically sampling messages flowing through to measures latency and throughput.
> This is based on our observations from KAFKA-3769 and KAFKA-3811.



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