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	<title>Comments on: Paging Through Data 2.0</title>
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	<link>http://www.rustyrazorblade.com/2006/11/paging-through-data-20/</link>
	<description>Tech Thoughts, Mostly on LAMP - by Jon Haddad</description>
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		<title>By: Scott Gale</title>
		<link>http://www.rustyrazorblade.com/2006/11/paging-through-data-20/comment-page-1/#comment-1340</link>
		<dc:creator>Scott Gale</dc:creator>
		<pubDate>Tue, 21 Nov 2006 15:11:49 +0000</pubDate>
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		<description>This has been around for awhile correct, at least since mysql 4.1?  I have this built into my abstraction layer that connects to JDBC but I only recently added it.  Great way to save the query.</description>
		<content:encoded><![CDATA[<p>This has been around for awhile correct, at least since mysql 4.1?  I have this built into my abstraction layer that connects to JDBC but I only recently added it.  Great way to save the query.</p>
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		<title>By: Peter Zaitsev</title>
		<link>http://www.rustyrazorblade.com/2006/11/paging-through-data-20/comment-page-1/#comment-907</link>
		<dc:creator>Peter Zaitsev</dc:creator>
		<pubDate>Sun, 12 Nov 2006 17:26:57 +0000</pubDate>
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		<description>You can save the query and you  can get up to 2 times performance improvement this way (while it most case it will be rather insignificant) but it is still very unscalable approach if you&#039;re working with large result sets 
10.000+ items.   

Not to mention LIMIT itself is very poor for paging if offset becomes large :)</description>
		<content:encoded><![CDATA[<p>You can save the query and you  can get up to 2 times performance improvement this way (while it most case it will be rather insignificant) but it is still very unscalable approach if you&#8217;re working with large result sets<br />
10.000+ items.   </p>
<p>Not to mention LIMIT itself is very poor for paging if offset becomes large <img src='http://www.rustyrazorblade.com/wp-includes/images/smilies/icon_smile.gif' alt=':)' class='wp-smiley' /> </p>
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