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https://issues.apache.org/jira/browse/CASSANDRA-13096?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16888067#comment-16888067
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Serban Teodorescu commented on CASSANDRA-13096:
-----------------------------------------------

See 
[https://github.com/criteo/cassandra_exporter#why-cache-metrics-results-this-is-not-the-prometheus-way-]

Snapshot scraping is expensive, and it will be triggered frequently by 
Prometheus. That would explain why it gets to normal once you clear the 
snapshots.

> Snapshots slow down jmx scraping
> --------------------------------
>
>                 Key: CASSANDRA-13096
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-13096
>             Project: Cassandra
>          Issue Type: Bug
>          Components: Observability/Metrics
>            Reporter: Maxime Fouilleul
>            Priority: Normal
>         Attachments: CPU Load.png, Clear Snapshots.png, JMX Scrape 
> Duration.png
>
>
> Hello,
> We are scraping the jmx metrics through a prometheus exporter and we noticed 
> that some nodes became really long to answer (more than 20 seconds). After 
> some investigations we do not find any hardware problem or overload issues on 
> there "slow" nodes. It happens on different clusters, some with only few giga 
> bytes of dataset and it does not seams to be related to a specific version 
> neither as it happens on 2.1, 2.2 and 3.0 nodes. 
> After some unsuccessful actions, one of our ideas was to clean the snapshots 
> staying on one problematic node:
> {code}
> nodetool clearsnapshot
> {code}
> And the magic happens... as you can see in the attached diagrams, the second 
> we cleared the snapshots, the CPU activity dropped immediatly and the 
> duration to scrape the jmx metrics goes from +20 secs to instantaneous...
> Can you enlighten us on this issue? Once again, it appears on our three 2.1, 
> 2.2 and 3.0 versions, on different volumetry and it is not systematically 
> linked to the snapshots as we have some nodes with the same snapshots volume 
> which are going pretty well.



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