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https://issues.apache.org/jira/browse/CASSANDRA-20250?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17927112#comment-17927112
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Benedict Elliott Smith commented on CASSANDRA-20250:
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I am not sure how much contention is likely the cause of this in a real system, 
I suspect it is more likely memory latency. Having a thread-local buffer of 
updates we intend to flush to the histograms would amortise the latency 
penalties without fundamentally redesigning anything (as well as reducing 
contention).

Other possibilities might include e.g. changing the bucket distribution so we 
don't need a LUT for computing lg2, although the above would gracefully handle 
any contribution this has as well. 

> 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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