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	<title>Comments on: MySQL and partitioning tables with millions of&#160;rows</title>
	<atom:link href="http://chrismoos.com/2010/01/31/mysql-partitioning-tables-with-millions-of-rows/feed/" rel="self" type="application/rss+xml" />
	<link>http://chrismoos.com/2010/01/31/mysql-partitioning-tables-with-millions-of-rows/</link>
	<description>developer by day, developer by night</description>
	<lastBuildDate>Sat, 17 Jul 2010 19:16:08 +0000</lastBuildDate>
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		<title>By: uberVU - social comments</title>
		<link>http://chrismoos.com/2010/01/31/mysql-partitioning-tables-with-millions-of-rows/comment-page-2/#comment-12638</link>
		<dc:creator>uberVU - social comments</dc:creator>
		<pubDate>Mon, 01 Feb 2010 07:47:00 +0000</pubDate>
		<guid isPermaLink="false">http://chrismoos.com/?p=644#comment-12638</guid>
		<description>&lt;strong&gt;Social comments and analytics for this post...&lt;/strong&gt;

This post was mentioned on Twitter by xoclipse: #mysql #partitioning http://chrismoos.com/2010/01/31/mysql-partitioning-tables-with-millions-of-rows/...</description>
		<content:encoded><![CDATA[<p><strong>Social comments and analytics for this post&#8230;</strong></p>
<p>This post was mentioned on Twitter by xoclipse: #mysql #partitioning <a href="http://chrismoos.com/2010/01/31/mysql-partitioning-tables-with-millions-of-rows/.." rel="nofollow">http://chrismoos.com/2010/01/31/mysql-partitioning-tables-with-millions-of-rows/..</a>.</p>
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		<title>By: Saiyine</title>
		<link>http://chrismoos.com/2010/01/31/mysql-partitioning-tables-with-millions-of-rows/comment-page-1/#comment-12523</link>
		<dc:creator>Saiyine</dc:creator>
		<pubDate>Sun, 31 Jan 2010 21:09:55 +0000</pubDate>
		<guid isPermaLink="false">http://chrismoos.com/?p=644#comment-12523</guid>
		<description>Uhm the dates of the comments don&#039;t seem to work very well. You should order your comments by id, not by date. Or what it&#039;s going on here?</description>
		<content:encoded><![CDATA[<p>Uhm the dates of the comments don&#8217;t seem to work very well. You should order your comments by id, not by date. Or what it&#8217;s going on here?</p>
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		<title>By: Saiyine</title>
		<link>http://chrismoos.com/2010/01/31/mysql-partitioning-tables-with-millions-of-rows/comment-page-1/#comment-12522</link>
		<dc:creator>Saiyine</dc:creator>
		<pubDate>Sun, 31 Jan 2010 21:07:00 +0000</pubDate>
		<guid isPermaLink="false">http://chrismoos.com/?p=644#comment-12522</guid>
		<description>dr_strangelove: with mysql, only if the index is fits in memory. Also, he doesn&#039;t &quot;use&quot; a table lock, his database engine does.</description>
		<content:encoded><![CDATA[<p>dr_strangelove: with mysql, only if the index is fits in memory. Also, he doesn&#8217;t &#8220;use&#8221; a table lock, his database engine does.</p>
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		<title>By: Chris Moos</title>
		<link>http://chrismoos.com/2010/01/31/mysql-partitioning-tables-with-millions-of-rows/comment-page-1/#comment-12508</link>
		<dc:creator>Chris Moos</dc:creator>
		<pubDate>Sun, 31 Jan 2010 20:33:30 +0000</pubDate>
		<guid isPermaLink="false">http://chrismoos.com/?p=644#comment-12508</guid>
		<description>Adam:

It looks like that is only supported if you are using the InnoDB engine...unfortunately I&#039;m using MyISAM...but I&#039;m sure I would benefit from InnoDB (and MVCC) + partitioning.</description>
		<content:encoded><![CDATA[<p>Adam:</p>
<p>It looks like that is only supported if you are using the InnoDB engine&#8230;unfortunately I&#8217;m using MyISAM&#8230;but I&#8217;m sure I would benefit from InnoDB (and MVCC) + partitioning.</p>
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		<title>By: Adam</title>
		<link>http://chrismoos.com/2010/01/31/mysql-partitioning-tables-with-millions-of-rows/comment-page-1/#comment-12507</link>
		<dc:creator>Adam</dc:creator>
		<pubDate>Sun, 31 Jan 2010 20:31:33 +0000</pubDate>
		<guid isPermaLink="false">http://chrismoos.com/?p=644#comment-12507</guid>
		<description>Why would a select need an exclusive lock on the table?  I don&#039;t know much about MySQL in particular, but you should make sure you have MVCC turned on.  With MVCC you can write to that table while doing a table scan.  Other users might see a slowdown, but they wouldn&#039;t block until the query finished.  Newer versions of PostgreSQL (which does MVCC) even have a feature that allow concurrent large table scans share disk reads.</description>
		<content:encoded><![CDATA[<p>Why would a select need an exclusive lock on the table?  I don&#8217;t know much about MySQL in particular, but you should make sure you have MVCC turned on.  With MVCC you can write to that table while doing a table scan.  Other users might see a slowdown, but they wouldn&#8217;t block until the query finished.  Newer versions of PostgreSQL (which does MVCC) even have a feature that allow concurrent large table scans share disk reads.</p>
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