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https://issues.apache.org/jira/browse/CASSANDRA-20250?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17924464#comment-17924464
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Benedict Elliott Smith commented on CASSANDRA-20250:
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bq. Ok, so you suggest just rely on a volatile piggybacking

Exactly.

bq. Regarding dead threads handling - do you see any better options than that 
one which I use?

I would have a summary array that all metrics from all thread are flushed to 
regardless. This probably requires two long[] for each per-thread metric 
object, one containing the values we flushed last time, so we can compute a 
delta to flush this time. The advantage of this is it permits us to cleanly 
compute our moving averages or other dependent calculations just once, and that 
we can easily batch update all metrics at once, then query the shared cache (or 
indeed can skip the update if the staleness is acceptable). We don't need any 
special collection of dead metric values in that case.


> 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
>            Priority: Normal
>         Attachments: cpu_profile_insert.html
>
>
> 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)
> 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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