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https://issues.apache.org/jira/browse/CASSANDRA-20250?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17927122#comment-17927122
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Dmitry Konstantinov edited comment on CASSANDRA-20250 at 2/14/25 1:29 PM:
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As usual, thank you for the additional ideas!

So, I think the next steps for me are the following:
 * create a separate ticket regarding the histogram improvements
 * update the current ticket description to reflect the actual changes we 
discussed in the comments and create a separate ticket regarding disabling of 
metrics
 * try to move average to another non-thread local array to improve 
fetching/caching during the bulk update
 * Finalize metrics id release logic when metrics are unregistered from the 
registry - I worry about the cases when we return a metric id back but some 
concurrent JMX calls may touch it, probably I will introduce some cool down 
period for a metric id before reusing.
 * add javadocs to the added classes

Do you see any other major things to do for this ticket before switching to a 
review phase?


was (Author: dnk):
As usual, thank you for the additional ideas!

So, I think the next steps for me are the following:
 * create a separate ticket regarding the histogram improvements
 * update the current ticket description to reflect the actual changes we 
discussed in the comment and create a separate ticket regarding disabling of 
metrics
 * try to move average to another non-thread local array to improve 
fetching/caching during the bulk update
 * Finalize metrics id release logic when metrics are unregistered from the 
registry - I worry about the cases when we return a metric id back but some 
concurrent JMX calls may touch it, probably I will introduce some cool down 
period for a metric id before reusing.
 * add javadocs to the added classes

Do you see any other major things to do for this ticket before switching to a 
review phase?

> Provide the ability to disable specific metrics collection
> ----------------------------------------------------------
>
>                 Key: CASSANDRA-20250
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-20250
>             Project: Apache Cassandra
>          Issue Type: New Feature
>          Components: Observability/Metrics
>            Reporter: Dmitry Konstantinov
>            Assignee: Dmitry Konstantinov
>            Priority: Normal
>         Attachments: 5.1_profile_cpu.html, 
> 5.1_profile_cpu_without_metrics.html, 5.1_tl4_profile_cpu.html, 
> Histogram_AtomicLong.png, async_profiler_cpu_profiles.zip, 
> cpu_profile_insert.html, jmh-result.json, vmstat.log, 
> vmstat_without_metrics.log
>
>
> Cassandra has a lot of metrics collected, many of them are collected per 
> table, so their instance number is multiplied by number of tables. From one 
> side it gives a better observability, from another side metrics are not for 
> free, there is an overhead associated with them:
> 1) CPU overhead: in case of simple CPU bound load: I already see like 5.5% of 
> total CPU spent for metrics in cpu framegraphs for read load and 11% for 
> write load. 
> Example: [^cpu_profile_insert.html] (search by "codahale" pattern). The 
> framegraph is captured using Async profiler build: 
> async-profiler-3.0-29ee888-linux-x64
> 2) memory overhead: we spend memory for entities used to aggregate metrics 
> such as LongAdders and reservoirs + for MBeans (String concatenation within 
> object names is a major cause of it, for each table+metric name combination a 
> new String is created)
>  
> The idea of this ticket is to allow an operator to configure a list of 
> disabled metrics in cassandra.yaml, like:
> {code:java}
> disabled_metrics:
>     - metric_a
>     - metric_b
> {code}
> From implementation point of view I see two possible approaches (which can be 
> combined):
>  # Generic: when a metric is registering if it is listed in disabled_metrics 
> we do not publish it via JMX and provide a noop implementation of metric 
> object (such as histogram) for it.
> Logging analogy: log level check within log method
>  # Specialized: for some metrics the process of value calculation is not for 
> free and introduces an overhead as well, in such cases it would be useful to 
> check within specific logic using an API (like: isMetricEnabled) do we need 
> to do it. Example of such metric: 
> ClientRequestSizeMetrics.recordRowAndColumnCountMetrics
> Logging analogy: an explicit 'if (isDebugEnabled())' condition used when a 
> message parameter is expensive.



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