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        <build-date>13-04-2023</build-date>
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            <title>[SERVER-5159] How to set up MongoDB in order to specify storing data in RAM vs disk</title>
                <link>https://jira.mongodb.org/browse/SERVER-5159</link>
                <project id="10000" key="SERVER">Core Server</project>
                    <description>&lt;p&gt;Hello, we have a couple of questions that we were hoping that you could answer.&lt;/p&gt;

&lt;p&gt;Our use case is using MongoDB as both a message queue as well as a message store. The data in the message queue needs to be fast to access and fast to update while the data in the message store will require lots of space but gets accessed infrequently. They should all be accessible in the same mongo application as well to avoid having to reference two separate instances as it might be just as easy to use a database as the message store. So given the use case above, here are the questions:&lt;/p&gt;

&lt;p&gt;1) How does the mechanism work that determines what documents should be kept in RAM when mongo exceeds the size of the machine&apos;s physical RAM rather than disk?&lt;/p&gt;

&lt;p&gt;2) Can we leverage a configuration setting or some detail about the aforementioned mechanism to ensure that using the same mongo application as a message store will not impact the performance of the message queue?&lt;/p&gt;

&lt;p&gt;Thanks in advance.&lt;/p&gt;</description>
                <environment></environment>
        <key id="31942">SERVER-5159</key>
            <summary>How to set up MongoDB in order to specify storing data in RAM vs disk</summary>
                <type id="6" iconUrl="https://jira.mongodb.org/secure/viewavatar?size=xsmall&amp;avatarId=14720&amp;avatarType=issuetype">Question</type>
                                            <priority id="3" iconUrl="https://jira.mongodb.org/images/icons/priorities/major.svg">Major - P3</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="9">Done</resolution>
                                        <assignee username="tyler@10gen.com">Tyler Brock</assignee>
                                    <reporter username="ccho@gilt.com">Chris Cho</reporter>
                        <labels>
                    </labels>
                <created>Thu, 1 Mar 2012 16:37:18 +0000</created>
                <updated>Tue, 13 Mar 2012 17:29:51 +0000</updated>
                            <resolved>Tue, 13 Mar 2012 17:29:51 +0000</resolved>
                                                                    <component>Performance</component>
                                        <votes>0</votes>
                                    <watches>2</watches>
                                                                                                                <comments>
                            <comment id="98270" author="ccho@gilt.com" created="Tue, 13 Mar 2012 14:06:48 +0000"  >&lt;p&gt;Please close the issue, thanks.&lt;/p&gt;</comment>
                            <comment id="98268" author="tyler@10gen.com" created="Tue, 13 Mar 2012 14:00:37 +0000"  >&lt;p&gt;Can we provide more information Chris or should we close this issue out?&lt;/p&gt;</comment>
                            <comment id="94629" author="ccho@gilt.com" created="Fri, 2 Mar 2012 15:53:34 +0000"  >&lt;p&gt;Hi Eliot,&lt;br/&gt;
Thanks for your response. I guess I may end up doing some application-side caching to ensure that the message queue data gets priority in RAM.&lt;/p&gt;</comment>
                            <comment id="94469" author="eliot" created="Fri, 2 Mar 2012 03:02:40 +0000"  >&lt;p&gt;What&apos;s stored in memory is all based on LRU.&lt;br/&gt;
So a high volume small message bus would always be in ram on the same box as a large database slowly accessed.&lt;/p&gt;</comment>
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