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        <build-number>970001</build-number>
        <build-date>13-04-2023</build-date>
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<item>
            <title>[SERVER-55624] Track materialized counts and sums for time-series measurements</title>
                <link>https://jira.mongodb.org/browse/SERVER-55624</link>
                <project id="10000" key="SERVER">Core Server</project>
                    <description>&lt;p&gt;This is a ticket meant to track an idea that was proposed in early conversations around time-series collections. We already record and aggregate a min and max for each measurement field per bucket. If we wanted to (perhaps with an opt-in from the user), we could extend this to other metrics like counts and sums. &lt;/p&gt;</description>
                <environment></environment>
        <key id="1663042">SERVER-55624</key>
            <summary>Track materialized counts and sums for time-series measurements</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-server-execution">Backlog - Storage Execution Team</assignee>
                                    <reporter username="charlie.swanson@mongodb.com">Charlie Swanson</reporter>
                        <labels>
                    </labels>
                <created>Tue, 30 Mar 2021 14:16:52 +0000</created>
                <updated>Tue, 6 Dec 2022 01:28:09 +0000</updated>
                                                                            <component>Storage</component>
                                        <votes>0</votes>
                                    <watches>5</watches>
                                                                                                                <comments>
                            <comment id="4063772" author="charlie.swanson" created="Wed, 15 Sep 2021 17:46:15 +0000"  >&lt;p&gt;Just wanted to bump this back to &quot;Needs Scheduling&quot; based off Rushan&apos;s latest comment about a similar optimization but a different approach. I think Rushan&apos;s approach would best live on the QO backlog, but we may not be at a point yet where we know if we want to do one or the other (or both depending?) Feel free to send this back to the backlog if we still believe materialization is the way to go or if it remains unimportant to figure this out.&lt;/p&gt;</comment>
                            <comment id="4062272" author="JIRAUSER1259232" created="Wed, 15 Sep 2021 12:30:01 +0000"  >&lt;p&gt;This could also be implemented without requiring additional storage. Sum and count could be pushed inside unpack (like sample) and output one sum and/or one count for each bucket.&lt;/p&gt;

&lt;p&gt;More advanced rewrite could also handle group on meta and time, where group boundary is detected, and output one sum and count for each group (in this case there could be multiple groups for one bucket).&lt;/p&gt;

&lt;p&gt;&#160;&lt;/p&gt;

&lt;p&gt;TSBS Benchmark &quot;devops&quot; workload has 6 queries implemented for mongodb and 4 have the following pattern:&lt;/p&gt;

&lt;p&gt;(1) min/max/avg (sum over count)&lt;/p&gt;

&lt;p&gt;(2) group over time interval (minutes or hours)&lt;/p&gt;

&lt;p&gt;(3) none of the 4 is grouping only on a meta field&lt;/p&gt;

&lt;p&gt;If buckets do not align with the group boundary, detecting group boundary would be needed for this optimization. (same applies to the min/max optimization).&lt;/p&gt;

&lt;p&gt;We could choose to optimize the cases where buckets are aligned with group &amp;lt;time unit&amp;gt; as we could tell from granularity. In this case, the optimization could also work when grouping on an aligned time unit and/or meta field.&lt;/p&gt;</comment>
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