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    <title>MongoDB Jira</title>
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    <language>en-us</language>    <build-info>
        <version>9.7.1</version>
        <build-number>970001</build-number>
        <build-date>13-04-2023</build-date>
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<item>
            <title>[SERVER-31357] Using Indexes To Sort Huge Data</title>
                <link>https://jira.mongodb.org/browse/SERVER-31357</link>
                <project id="10000" key="SERVER">Core Server</project>
                    <description>&lt;p&gt;We have a large amount of data and applying pagination on it using below query:&lt;br/&gt;
db.collection.find().&lt;b&gt;sort&lt;/b&gt;(&lt;/p&gt;
{&amp;lt;field&amp;gt;: 1}
&lt;p&gt;).&lt;b&gt;skip&lt;/b&gt;(&amp;lt;no. of docs to skip&amp;gt;).&lt;b&gt;limit&lt;/b&gt;(&amp;lt;no. of docs to display at once&amp;gt;)&lt;/p&gt;

&lt;p&gt;But, I need to create something similar to clustered index i.e which can store sorted documents inorder to avoid in-memory sort at the time of query since the data set is large. Also, this needs to be done to reduce the execution time taken by the query.&lt;/p&gt;

&lt;p&gt;According to the search results, MongoDB does not support clustered index. So, is there any workaround for the same?&lt;/p&gt;</description>
                <environment></environment>
        <key id="439040">SERVER-31357</key>
            <summary>Using Indexes To Sort Huge Data</summary>
                <type id="6" iconUrl="https://jira.mongodb.org/secure/viewavatar?size=xsmall&amp;avatarId=14720&amp;avatarType=issuetype">Question</type>
                                            <priority id="2" iconUrl="https://jira.mongodb.org/images/icons/priorities/critical.svg">Critical - P2</priority>
                        <status id="6" iconUrl="https://jira.mongodb.org/images/icons/statuses/closed.png" description="The issue is considered finished, the resolution is correct. Issues which are closed can be reopened.">Closed</status>
                    <statusCategory id="3" key="done" colorName="success"/>
                                    <resolution id="3">Duplicate</resolution>
                                        <assignee username="mark.agarunov">Mark Agarunov</assignee>
                                    <reporter username="pratiksha.gupta38@gmail.com">Pratiksha Aggarwal</reporter>
                        <labels>
                    </labels>
                <created>Tue, 3 Oct 2017 06:55:54 +0000</created>
                <updated>Fri, 7 Apr 2023 17:15:23 +0000</updated>
                            <resolved>Tue, 3 Oct 2017 16:47:23 +0000</resolved>
                                    <version>3.2.11</version>
                                                    <component>Index Maintenance</component>
                    <component>Storage</component>
                                        <votes>0</votes>
                                    <watches>5</watches>
                                                                                                                <comments>
                            <comment id="1688029" author="mark.agarunov" created="Tue, 3 Oct 2017 16:46:50 +0000"  >&lt;p&gt;Hello &lt;a href=&quot;https://jira.mongodb.org/secure/ViewProfile.jspa?name=pragupta&quot; class=&quot;user-hover&quot; rel=&quot;pragupta&quot;&gt;pragupta&lt;/a&gt;,&lt;/p&gt;

&lt;p&gt;Thank you for the report. Looking over this, you appear to be describing the same behavior as &lt;a href=&quot;https://jira.mongodb.org/browse/SERVER-3294&quot; title=&quot;Ability to keep data on disk in ~ index order&quot; class=&quot;issue-link&quot; data-issue-key=&quot;SERVER-3294&quot;&gt;&lt;del&gt;SERVER-3294&lt;/del&gt;&lt;/a&gt;, which would allow for an implementation of clustered indexes so I&apos;ve closed this ticket as a duplicate. Please vote for and watch &lt;a href=&quot;https://jira.mongodb.org/browse/SERVER-18777&quot; title=&quot;CachedPlanStage replanning mechanism does not apply to rooted $or queries&quot; class=&quot;issue-link&quot; data-issue-key=&quot;SERVER-18777&quot;&gt;SERVER-18777&lt;/a&gt; for updates on this issue.&lt;/p&gt;

&lt;p&gt;Thanks,&lt;br/&gt;
Mark &lt;/p&gt;</comment>
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