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Posted to dev@kafka.apache.org by "Eno Thereska (JIRA)" <ji...@apache.org> on 2016/12/05 17:10:59 UTC
[jira] [Resolved] (KAFKA-3811) Introduce Kafka Streams metrics
recording levels
[ https://issues.apache.org/jira/browse/KAFKA-3811?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Eno Thereska resolved KAFKA-3811.
---------------------------------
Resolution: Duplicate
https://issues.apache.org/jira/browse/KAFKA-3715
> Introduce Kafka Streams metrics recording levels
> ------------------------------------------------
>
> Key: KAFKA-3811
> URL: https://issues.apache.org/jira/browse/KAFKA-3811
> Project: Kafka
> Issue Type: Improvement
> Components: streams
> Reporter: Greg Fodor
> Assignee: Eno Thereska
> Attachments: Muon-Snapshot.zip, Muon-latency.zip, screenshot-1.png, screenshot-latency.png
>
>
> Follow-up from the discussions here:
> https://github.com/apache/kafka/pull/1447
> https://issues.apache.org/jira/browse/KAFKA-3769
> The proposal is to introduce configuration to control the granularity/volumes of metrics emitted by Kafka Streams jobs, since the per-record level metrics introduce non-trivial overhead and are possibly less useful once a job has been optimized.
> Proposal from guozhangwang:
> level0 (stream thread global): per-record process / punctuate latency, commit latency, poll latency, etc
> level1 (per processor node, and per state store): IO latency, per-record .. latency, forward throughput, etc.
> And by default we only turn on level0.
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