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        <build-number>970001</build-number>
        <build-date>13-04-2023</build-date>
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            <title>[SERVER-40360] Process-global plan cache</title>
                <link>https://jira.mongodb.org/browse/SERVER-40360</link>
                <project id="10000" key="SERVER">Core Server</project>
                    <description>&lt;p&gt;The query system has a cache of plan information. This cache is used to skip the expensive plan generation and selection process when there are many instances of the query that have the same shape. The following documentation page has further information:&lt;/p&gt;

&lt;p&gt;&lt;a href=&quot;https://docs.mongodb.com/manual/core/query-plans/&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;https://docs.mongodb.com/manual/core/query-plans/&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;The current architecture involves a per-collection plan cache. Whenever the user creates a new collection, it has a new plan cache inside of it. This means that, for users with many collections, the collective size of the resulting plan caches can use a prohibitively large amount of memory. In order to control the total amount of memory used for plan caching, we need a central component with knowledge of all the memory allocated for plan cache instances. The easiest way to achieve this would be to change the architecture so that there is a single plan cache per mongod instance. This could be done internally, without affecting the interface presented by &lt;a href=&quot;https://docs.mongodb.com/master/reference/operator/aggregation/planCacheStats/#pipe._S_planCacheStats&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;$planCacheStats&lt;/a&gt;, or the &lt;a href=&quot;https://docs.mongodb.com/manual/reference/command/nav-plan-cache/&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;older plan cache introspection commands&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;Note that this problem is compounded by &lt;a href=&quot;https://jira.mongodb.org/browse/SERVER-34886&quot; title=&quot;Plan cache size is bounded by number of entries rather than memory footprint&quot; class=&quot;issue-link&quot; data-issue-key=&quot;SERVER-34886&quot;&gt;SERVER-34886&lt;/a&gt;. A complete solution to the problem of plan cache memory consumption would likely require us to solve &lt;a href=&quot;https://jira.mongodb.org/browse/SERVER-34886&quot; title=&quot;Plan cache size is bounded by number of entries rather than memory footprint&quot; class=&quot;issue-link&quot; data-issue-key=&quot;SERVER-34886&quot;&gt;SERVER-34886&lt;/a&gt; as well, by enforcing a maximum size of the global plan cache in bytes rather than enforcing a maximum number of entries.&lt;/p&gt;</description>
                <environment></environment>
        <key id="724138">SERVER-40360</key>
            <summary>Process-global plan cache</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>
                    <statusCategory id="2" key="new" colorName="default"/>
                                    <resolution id="-1">Unresolved</resolution>
                                        <assignee username="backlog-query-execution">Backlog - Query Execution</assignee>
                                    <reporter username="david.storch@mongodb.com">David Storch</reporter>
                        <labels>
                    </labels>
                <created>Wed, 27 Mar 2019 20:22:19 +0000</created>
                <updated>Tue, 6 Dec 2022 03:02:43 +0000</updated>
                                                                            <component>Querying</component>
                                        <votes>0</votes>
                                    <watches>17</watches>
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            <issuekey id="724151">SERVER-40361</issuekey>
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            <issuelink>
            <issuekey id="725548">SERVER-40382</issuekey>
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