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        <build-date>13-04-2023</build-date>
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            <title>[SERVER-79131] Improve performance of collecting operator usage metrics</title>
                <link>https://jira.mongodb.org/browse/SERVER-79131</link>
                <project id="10000" key="SERVER">Core Server</project>
                    <description>&lt;p&gt;I noticed &apos;incrementMatchExprCounter&apos; and &apos;stopExpressionCounters&apos; in some flame graphs (attached). It was only about 0.16% and 0.17% of the time for IDHACK workloads, but I was still surprised it showed up at all. When I looked into it, it seems that it&apos;s using atomic counters and allocating some memory for each one. I imagine some of this is for convenience with hooking into FTDC counters, but I thought that there must be a more efficient way to do it, and probably also we could back off some of the exactness and accept an approximate count to lower the overhead - we are only looking at these for usage metrics after all.&lt;/p&gt;

&lt;p&gt;See these two other posts which inspired me: &lt;a href=&quot;https://www.mongodb.com/blog/post/building-with-patterns-the-approximation-pattern&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;Approximation Pattern&lt;/a&gt;: replace 100% of threads increments by 1 with 1% of threads incrementing by 100 and &lt;a href=&quot;https://nuno-faria.github.io/publications/mrv&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;this paper from SIGMOD&lt;/a&gt; (&lt;a href=&quot;https://nuno-faria.github.io/papers/mrv-poster.pdf&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;poster&lt;/a&gt;) which suggests splitting hot counters into many discrete counters to help with concurrency.&lt;/p&gt;

&lt;p&gt;That last one is probably overkill here, but seemed topical.&lt;/p&gt;</description>
                <environment></environment>
        <key id="2396147">SERVER-79131</key>
            <summary>Improve performance of collecting operator usage metrics</summary>
                <type id="4" iconUrl="https://jira.mongodb.org/secure/viewavatar?size=xsmall&amp;avatarId=14710&amp;avatarType=issuetype">Improvement</type>
                                            <priority id="3" iconUrl="https://jira.mongodb.org/images/icons/priorities/major.svg">Major - P3</priority>
                        <status id="10038" iconUrl="https://jira.mongodb.org/images/icons/subtask.gif" description="">Backlog</status>
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                                    <resolution id="-1">Unresolved</resolution>
                                        <assignee username="backlog-query-execution">Backlog - Query Execution</assignee>
                                    <reporter username="charlie.swanson@mongodb.com">Charlie Swanson</reporter>
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                <created>Wed, 19 Jul 2023 19:04:59 +0000</created>
                <updated>Mon, 28 Aug 2023 13:54:12 +0000</updated>
                                                                                                <votes>0</votes>
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                            <attachment id="463562" name="Screenshot 2023-07-19 at 2.48.22 PM.png" size="1342878" author="charlie.swanson@mongodb.com" created="Wed, 19 Jul 2023 18:48:28 +0000"/>
                            <attachment id="463561" name="Screenshot 2023-07-19 at 2.50.42 PM.png" size="1251512" author="charlie.swanson@mongodb.com" created="Wed, 19 Jul 2023 18:50:48 +0000"/>
                            <attachment id="463560" name="perf-test_phase-0004_flamegraph_connections_merged.svg" size="1630016" author="charlie.swanson@mongodb.com" created="Wed, 19 Jul 2023 18:51:21 +0000"/>
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