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Posted to dev@kafka.apache.org by "John Roesler (Jira)" <ji...@apache.org> on 2020/02/14 21:56:00 UTC

[jira] [Resolved] (KAFKA-9557) Thread-level "process" metrics are computed incorrectly

     [ https://issues.apache.org/jira/browse/KAFKA-9557?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

John Roesler resolved KAFKA-9557.
---------------------------------
    Fix Version/s: 2.6.0
       Resolution: Fixed

> Thread-level "process" metrics are computed incorrectly
> -------------------------------------------------------
>
>                 Key: KAFKA-9557
>                 URL: https://issues.apache.org/jira/browse/KAFKA-9557
>             Project: Kafka
>          Issue Type: Bug
>          Components: streams
>            Reporter: John Roesler
>            Assignee: John Roesler
>            Priority: Major
>             Fix For: 2.6.0
>
>
> Among others, Streams reports the following two thread-level "process" metrics:
> "process-rate": The average number of process calls per second.
> "process-total": The total number of process calls across all tasks.
> See the docs: https://kafka.apache.org/documentation/#kafka_streams_thread_monitoring
> There's some surprising ambiguity in these definitions that has led to Streams actually reporting something different than what most people would probably expect. Specifically, it's not defined what a "process call" is.
> A reasonable definition of a "process call" is processing a record or processing a task (both of which are publicly facing concepts, and both of which are the same, since tasks process records one at a time). However, we currently measure number of invocations to a private, internal `process()` method, which would actually process more than one record at a time. Thus, the current metric is under-counting the throughput, in an esoteric and confusing way.
> Instead, we should simply change the rate and total metrics to measure the (rate and total) of _record_ processing.



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