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    <title>MongoDB Jira</title>
    <link>https://jira.mongodb.org</link>
    <description>This file is an XML representation of an issue</description>
    <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-81260] Streams: Perf numbers for various workloads</title>
                <link>https://jira.mongodb.org/browse/SERVER-81260</link>
                <project id="10000" key="SERVER">Core Server</project>
                    <description>&lt;p&gt;&lt;a href=&quot;https://mongodb.slack.com/archives/C04AH2TF7E1/p1695164357496619&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;https://mongodb.slack.com/archives/C04AH2TF7E1/p1695164357496619&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Conversation above ^&lt;/p&gt;

&lt;p&gt;&amp;#8211;&lt;br/&gt;
&lt;em&gt;aadesh&#160;&#160;&lt;a href=&quot;https://mongodb.slack.com/archives/C04AH2TF7E1/p1695164357496619&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;13 days ago&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;@ kenny.gorman re: throughput numbers for streams&lt;/em&gt;&#160;&lt;br/&gt;
&#160;__&#160;&lt;br/&gt;
&lt;em&gt;aadesh&#160;&#160;&lt;a href=&quot;https://mongodb.slack.com/archives/C04AH2TF7E1/p1695164496994059?thread_ts=1695164357.496619&amp;amp;cid=C04AH2TF7E1&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;13 days ago&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;was chatting with Sandeep, so tomorrow im planning on getting a bunch of numbers together with various set ups. We have a few&#160;&lt;a href=&quot;https://github.com/mongodb/genny&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;genny&lt;/a&gt;&#160;workloads setup for streams right now but those are using the in-memory source/sink operators so not super reflective of production setups. So plan is to run those same workloads against a kafka source in different regions with streams running in&#160;&lt;tt&gt;us-east-1&lt;/tt&gt;&#160;so that we have throughput numbers on a kafka source pipelines, and then send over a bunch of throughput numbers to you for each workload and source operator setuphows that generally sound? * in-memory source operator&lt;/em&gt;&lt;/p&gt;
&lt;ul&gt;
	&lt;li&gt;&lt;em&gt;same region kafka -&amp;gt; mstreams&lt;/em&gt;&lt;/li&gt;
	&lt;li&gt;&lt;em&gt;different regions kafka -&amp;gt; mstreams&lt;/em&gt;&lt;/li&gt;
&lt;/ul&gt;


&lt;p&gt;&lt;em&gt;will run that set up for every workload we have in genny ^ along with the avg document size (in bytes) that we&apos;re using for those workloads&lt;/em&gt;&lt;br/&gt;
&#160;__&#160;&lt;br/&gt;
&lt;em&gt;aadesh&#160;&#160;&lt;a href=&quot;https://mongodb.slack.com/archives/C04AH2TF7E1/p1695164503541799?thread_ts=1695164357.496619&amp;amp;cid=C04AH2TF7E1&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;13 days ago&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;@ kenny.gorman&lt;/em&gt;&lt;br/&gt;
&#160;__&#160;&lt;br/&gt;
&lt;em&gt;aadesh&#160;&#160;&lt;a href=&quot;https://mongodb.slack.com/archives/C04AH2TF7E1/p1695164650720989?thread_ts=1695164357.496619&amp;amp;cid=C04AH2TF7E1&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;13 days ago&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;each workload will be a diff type of stream pipeline and document size&lt;/em&gt;&lt;br/&gt;
&#160;__&#160;&lt;br/&gt;
&lt;em&gt;Sandeep Dhoot&#160;&#160;&lt;a href=&quot;https://mongodb.slack.com/archives/C04AH2TF7E1/p1695166691959809?thread_ts=1695164357.496619&amp;amp;cid=C04AH2TF7E1&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;13 days ago&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;&lt;a href=&quot;https://mongodb.slack.com/team/U05LYLJT2TV&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;@aadesh&lt;/a&gt; we will want to change pipelines later and get these numbers a few times. So please do try to make the whole process repeatable.&lt;/em&gt;&lt;br/&gt;
&#160;__&#160;&lt;br/&gt;
&lt;em&gt;Joe Niemiec&#160;&#160;&lt;a href=&quot;https://mongodb.slack.com/archives/C04AH2TF7E1/p1695171756825909?thread_ts=1695164357.496619&amp;amp;cid=C04AH2TF7E1&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;13 days ago&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;I think it makes since it&apos;ll be good to have some baseline idea of the impact of a bandwidth delay product with cross region&lt;/em&gt;&lt;br/&gt;
&#160;__&#160;&lt;br/&gt;
&lt;em&gt;Joe Niemiec&#160;&#160;&lt;a href=&quot;https://mongodb.slack.com/archives/C04AH2TF7E1/p1695171798253109?thread_ts=1695164357.496619&amp;amp;cid=C04AH2TF7E1&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;13 days ago&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;I would make sure you really document how your Kafka setup is as well, Kafka tends to rely heavily on Linux page cache so there could be a difference between a Kafka which has buffered properly versus one that isn&apos;t because it&apos;s cold&#160;(edited)&lt;/em&gt;&#160;&lt;br/&gt;
&#160;__&#160;&lt;br/&gt;
&lt;em&gt;Joe Niemiec&#160;&#160;&lt;a href=&quot;https://mongodb.slack.com/archives/C04AH2TF7E1/p1695171838804929?thread_ts=1695164357.496619&amp;amp;cid=C04AH2TF7E1&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;13 days ago&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;We also have some customers where reading change streams could potentially be cross region or&#160; merging to a cluster cross region&#160;(edited)&lt;/em&gt;&#160;&lt;br/&gt;
&#160;__&#160;&lt;br/&gt;
&lt;em&gt;kenny.gorman&#160;&#160;&lt;a href=&quot;https://mongodb.slack.com/archives/C04AH2TF7E1/p1695179919832329?thread_ts=1695164357.496619&amp;amp;cid=C04AH2TF7E1&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;13 days ago&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;Maybe I missed it but we need source and sink variations. Like Kafka to Kafka and Kafka to Mongo. To a lesser degree we need change stream source to Mongo.&lt;/em&gt;&lt;br/&gt;
&#160;__&#160;&lt;br/&gt;
&lt;em&gt;kenny.gorman&#160;&#160;&lt;a href=&quot;https://mongodb.slack.com/archives/C04AH2TF7E1/p1695179982837549?thread_ts=1695164357.496619&amp;amp;cid=C04AH2TF7E1&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;13 days ago&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;Yeah exact Kafka config is important. Repeatable is critical. Maybe something anyone can run not just engineering (thinking field) but maybe I am being too optimistic&lt;/em&gt;&lt;br/&gt;
&#160;__&#160;&lt;br/&gt;
&lt;em&gt;kenny.gorman&#160;&#160;&lt;a href=&quot;https://mongodb.slack.com/archives/C04AH2TF7E1/p1695180148543449?thread_ts=1695164357.496619&amp;amp;cid=C04AH2TF7E1&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;13 days ago&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;This is awesome guys. Can&#8217;t wait to see the results&lt;/em&gt;&lt;br/&gt;
&#160;__&#160;&lt;br/&gt;
&lt;em&gt;Sandeep Dhoot&#160;&#160;&lt;a href=&quot;https://mongodb.slack.com/archives/C04AH2TF7E1/p1695182150761249?thread_ts=1695164357.496619&amp;amp;cid=C04AH2TF7E1&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;13 days ago&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;Btw sources/sinks will introduce variability in results for N different reasons (source is in different region, unique kind of Kafka deployment). It would require too much effort to try to cover all the different scenarios. I hope we can just test with only a couple of difference scenarios and use those as ballpark numbers. (edited)&lt;/em&gt;&#160;&lt;br/&gt;
&#160;__&#160;&lt;br/&gt;
&lt;em&gt;kenny.gorman&#160;&#160;&lt;a href=&quot;https://mongodb.slack.com/archives/C04AH2TF7E1/p1695221306074759?thread_ts=1695164357.496619&amp;amp;cid=C04AH2TF7E1&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;12 days ago&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;A couple different scenarios is what I meant yes, not all&lt;/em&gt;&lt;br/&gt;
&#160;__&#160;&lt;br/&gt;
&lt;em&gt;kenny.gorman&#160;&#160;&lt;a href=&quot;https://mongodb.slack.com/archives/C04AH2TF7E1/p1695221362721559?thread_ts=1695164357.496619&amp;amp;cid=C04AH2TF7E1&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;12 days ago&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;The main one is intra-region from kafka to mongodb, and intra region mongodb to mongodb. I am not sure (@ joe)&#160;if we have lots of Kafka to kafka use cases just yet.&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;Joe Niemiec&#160;&#160;&lt;a href=&quot;https://mongodb.slack.com/archives/C04AH2TF7E1/p1695222340751209?thread_ts=1695164357.496619&amp;amp;cid=C04AH2TF7E1&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;12 days ago&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;some rough telemetry based on data I have for combinations over 30 customers (a customer may do more then 1 pattern)CS 2 Kafka - 7&lt;/em&gt;&lt;br/&gt;
&lt;em&gt;Kafka 2 Col - 12&lt;/em&gt;&lt;br/&gt;
&lt;em&gt;Kafka 2 Kafka - 8&lt;/em&gt;&lt;br/&gt;
&lt;em&gt;CS 2 Collection - 14&lt;/em&gt;&lt;br/&gt;
&#160;__&#160;&lt;br/&gt;
&lt;em&gt;Joe Niemiec&#160;&#160;&lt;a href=&quot;https://mongodb.slack.com/archives/C04AH2TF7E1/p1695222355735079?thread_ts=1695164357.496619&amp;amp;cid=C04AH2TF7E1&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;12 days ago&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;so really Kafka to Collection and CS to Collection are the top dogs&lt;/em&gt;&lt;br/&gt;
&#160;__&#160;&lt;br/&gt;
&lt;em&gt;aadesh&#160;&#160;&lt;a href=&quot;https://mongodb.slack.com/archives/C04AH2TF7E1/p1695222482011939?thread_ts=1695164357.496619&amp;amp;cid=C04AH2TF7E1&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;12 days ago&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;perf thats super helpful&lt;/em&gt;&lt;br/&gt;
&#160;__&#160;&lt;br/&gt;
&lt;em&gt;aadesh&#160;&#160;&lt;a href=&quot;https://mongodb.slack.com/archives/C04AH2TF7E1/p1695310022658279?thread_ts=1695164357.496619&amp;amp;cid=C04AH2TF7E1&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;11 days ago&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;re: repeatability, might take a bit more time on getting to system where we can easily repeat different setups for different stream pipelines&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;need to make various changes to existing perf tooling infra (DSI specifically) to distinguish mongod vs mstreams, but looking into that more today so that we can get to a place where its easy to do all this&lt;/em&gt;&lt;/p&gt;</description>
                <environment></environment>
        <key id="2447324">SERVER-81260</key>
            <summary>Streams: Perf numbers for various workloads</summary>
                <type id="3" iconUrl="https://jira.mongodb.org/secure/viewavatar?size=xsmall&amp;avatarId=14718&amp;avatarType=issuetype">Task</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="aadesh.patel@mongodb.com">Aadesh Patel</assignee>
                                    <reporter username="aadesh.patel@mongodb.com">Aadesh Patel</reporter>
                        <labels>
                            <label>big</label>
                            <label>init-337-m3</label>
                    </labels>
                <created>Wed, 20 Sep 2023 19:01:43 +0000</created>
                <updated>Thu, 19 Oct 2023 13:55:49 +0000</updated>
                            <resolved>Thu, 19 Oct 2023 13:55:40 +0000</resolved>
                                                                                        <votes>0</votes>
                                    <watches>2</watches>
                                                                                                                <comments>
                            <comment id="5771926" author="xgen-internal-githook" created="Wed, 11 Oct 2023 21:33:13 +0000"  >&lt;p&gt;Author: &lt;/p&gt;
{&apos;name&apos;: &apos;Aadesh&apos;, &apos;email&apos;: &apos;aadesh.patel@mongodb.com&apos;, &apos;username&apos;: &apos;Aadeshp&apos;}
&lt;p&gt;Message: &lt;a href=&quot;https://jira.mongodb.org/browse/SERVER-81260&quot; title=&quot;Streams: Perf numbers for various workloads&quot; class=&quot;issue-link&quot; data-issue-key=&quot;SERVER-81260&quot;&gt;&lt;del&gt;SERVER-81260&lt;/del&gt;&lt;/a&gt;: &lt;span class=&quot;error&quot;&gt;&amp;#91;streams&amp;#93;&lt;/span&gt; additional workloads (#1038)&lt;br/&gt;
Branch: master&lt;br/&gt;
&lt;a href=&quot;https://github.com/mongodb/genny/commit/952bea6f93b2713a925ef8688af07dd13f5fb696&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;https://github.com/mongodb/genny/commit/952bea6f93b2713a925ef8688af07dd13f5fb696&lt;/a&gt;&lt;/p&gt;</comment>
                            <comment id="5764802" author="xgen-internal-githook" created="Mon, 9 Oct 2023 16:24:07 +0000"  >&lt;p&gt;Author: &lt;/p&gt;
{&apos;name&apos;: &apos;Aadesh&apos;, &apos;email&apos;: &apos;aadesh.patel@mongodb.com&apos;, &apos;username&apos;: &apos;Aadeshp&apos;}
&lt;p&gt;Message: &lt;a href=&quot;https://jira.mongodb.org/browse/SERVER-81260&quot; title=&quot;Streams: Perf numbers for various workloads&quot; class=&quot;issue-link&quot; data-issue-key=&quot;SERVER-81260&quot;&gt;&lt;del&gt;SERVER-81260&lt;/del&gt;&lt;/a&gt;: support separate mongostream URI (#1026)&lt;br/&gt;
Branch: master&lt;br/&gt;
&lt;a href=&quot;https://github.com/mongodb/genny/commit/abbea5d3970831db187f392bf08ce71efa2aeab5&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;https://github.com/mongodb/genny/commit/abbea5d3970831db187f392bf08ce71efa2aeab5&lt;/a&gt;&lt;/p&gt;</comment>
                            <comment id="5759565" author="xgen-internal-githook" created="Fri, 6 Oct 2023 16:03:09 +0000"  >&lt;p&gt;Author: &lt;/p&gt;
{&apos;name&apos;: &apos;Aadesh&apos;, &apos;email&apos;: &apos;aadesh.patel@mongodb.com&apos;, &apos;username&apos;: &apos;Aadeshp&apos;}
&lt;p&gt;Message: &lt;a href=&quot;https://jira.mongodb.org/browse/SERVER-81260&quot; title=&quot;Streams: Perf numbers for various workloads&quot; class=&quot;issue-link&quot; data-issue-key=&quot;SERVER-81260&quot;&gt;&lt;del&gt;SERVER-81260&lt;/del&gt;&lt;/a&gt;: support ^ClientURI in preprocessing (#1025)&lt;br/&gt;
Branch: master&lt;br/&gt;
&lt;a href=&quot;https://github.com/mongodb/genny/commit/18bd36fcaa9019c9246c48a2eb21452580e3949f&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;https://github.com/mongodb/genny/commit/18bd36fcaa9019c9246c48a2eb21452580e3949f&lt;/a&gt;&lt;/p&gt;</comment>
                            <comment id="5750881" author="xgen-internal-githook" created="Wed, 4 Oct 2023 04:33:56 +0000"  >&lt;p&gt;Author: &lt;/p&gt;
{&apos;name&apos;: &apos;Aadesh&apos;, &apos;email&apos;: &apos;aadesh.patel@mongodb.com&apos;, &apos;username&apos;: &apos;Aadeshp&apos;}
&lt;p&gt;Message: &lt;a href=&quot;https://jira.mongodb.org/browse/SERVER-81260&quot; title=&quot;Streams: Perf numbers for various workloads&quot; class=&quot;issue-link&quot; data-issue-key=&quot;SERVER-81260&quot;&gt;&lt;del&gt;SERVER-81260&lt;/del&gt;&lt;/a&gt;: custom throughput reporter for streams (#1020)&lt;br/&gt;
Branch: master&lt;br/&gt;
&lt;a href=&quot;https://github.com/mongodb/genny/commit/9af1ccd6887c5320cd08801b6bc02a1b9a13af83&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;https://github.com/mongodb/genny/commit/9af1ccd6887c5320cd08801b6bc02a1b9a13af83&lt;/a&gt;&lt;/p&gt;</comment>
                            <comment id="5736313" author="xgen-internal-githook" created="Thu, 28 Sep 2023 00:45:19 +0000"  >&lt;p&gt;Author: &lt;/p&gt;
{&apos;name&apos;: &apos;Aadesh Patel&apos;, &apos;email&apos;: &apos;aadesh.patel@mongodb.com&apos;, &apos;username&apos;: &apos;Aadeshp&apos;}
&lt;p&gt;Message: &lt;a href=&quot;https://jira.mongodb.org/browse/SERVER-81260&quot; title=&quot;Streams: Perf numbers for various workloads&quot; class=&quot;issue-link&quot; data-issue-key=&quot;SERVER-81260&quot;&gt;&lt;del&gt;SERVER-81260&lt;/del&gt;&lt;/a&gt;: &lt;span class=&quot;error&quot;&gt;&amp;#91;sys-perf&amp;#93;&lt;/span&gt; use stream suffix for stream flavored mongod s3 tar file&lt;br/&gt;
Branch: master&lt;br/&gt;
&lt;a href=&quot;https://github.com/mongodb/mongo/commit/988a39efdc8e11857e81c77fb64ea7d2bf23c2bd&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;https://github.com/mongodb/mongo/commit/988a39efdc8e11857e81c77fb64ea7d2bf23c2bd&lt;/a&gt;&lt;/p&gt;</comment>
                    </comments>
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            <issuekey id="2456636">SERVER-81719</issuekey>
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