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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-5423] oplog length affect on memory</title>
                <link>https://jira.mongodb.org/browse/SERVER-5423</link>
                <project id="10000" key="SERVER">Core Server</project>
                    <description>&lt;p&gt;Hi,&lt;/p&gt;

&lt;p&gt;We want to change the oplog size to 50GB on primary database because of the stale replication issues. &lt;br/&gt;
after increasing the oplog,Will the local database(50GB) would be a part of mapped memory by mongod? &lt;/p&gt;

&lt;p&gt;what should be the impact on overall database performance in a replication/journal enabled environment, if the size of the database is larger than the available physical memory on the system.&lt;/p&gt;


&lt;p&gt;Thanks,&lt;br/&gt;
Rajesh Bhatt&lt;/p&gt;
</description>
                <environment>RHEL 5.6&lt;br/&gt;
one primary and three standby replica sets.&lt;br/&gt;
Local disk storage with RAID 10&lt;br/&gt;
RAM : 72GB&lt;br/&gt;
Db size: 73GB&lt;br/&gt;
OPLOG : 20GB&lt;br/&gt;
</environment>
        <key id="34795">SERVER-5423</key>
            <summary>oplog length affect on memory</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="schwerin@mongodb.com">Andy Schwerin</assignee>
                                    <reporter username="rbhatt@book.com">rajesh bhatt</reporter>
                        <labels>
                            <label>performance</label>
                            <label>replicaset</label>
                    </labels>
                <created>Tue, 27 Mar 2012 17:46:55 +0000</created>
                <updated>Wed, 15 Aug 2012 14:24:14 +0000</updated>
                            <resolved>Tue, 27 Mar 2012 19:47:55 +0000</resolved>
                                    <version>2.0.3</version>
                                                    <component>Performance</component>
                                        <votes>0</votes>
                                    <watches>0</watches>
                                                                                                                <comments>
                            <comment id="104101" author="rbhatt@book.com" created="Tue, 27 Mar 2012 20:14:55 +0000"  >&lt;p&gt;Thanks Andy,&lt;/p&gt;

&lt;p&gt;You have provided the exact information that I was looking for. For future I will be using the google group. We have the same environment as you have mentioned in the exceptions. Also we are looking into the sharding as well.&lt;/p&gt;</comment>
                            <comment id="104088" author="schwerin" created="Tue, 27 Mar 2012 19:47:55 +0000"  >&lt;p&gt;For future support requests, please try the mongodb-user google group, &lt;a href=&quot;https://groups.google.com/forum/?fromgroups#!forum/mongodb-user&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;https://groups.google.com/forum/?fromgroups#!forum/mongodb-user&lt;/a&gt; or commercial support.&lt;/p&gt;</comment>
                            <comment id="104087" author="schwerin" created="Tue, 27 Mar 2012 19:45:36 +0000"  >&lt;p&gt;The whole oplog may be mapped into mongod&apos;s virtual address space.  However, the portion of the oplog in the working set of mongod will depend on the rate at which data is written by clients.  If your write load is so high that the secondaries get nearly 50 gigabytes behind the master, you&apos;re going to see an adverse performance impact.&lt;/p&gt;

&lt;p&gt;You should consider sharding if you&apos;re having trouble sustaining your desired write load.  If your secondaries are getting over 20 GB behind the master, I wouldn&apos;t expect growing to 50 GB is going to fix your problem.  The exception to this is if your writes come in bursts, followed by sustained periods of little, or no, write activity.&lt;/p&gt;</comment>
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