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	<title>Vanonet &#187; database optimization</title>
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		<title>How index can boost database performance</title>
		<link>http://vanonet.com/2008/04/how-index-can-boost-database-performance/</link>
		<comments>http://vanonet.com/2008/04/how-index-can-boost-database-performance/#comments</comments>
		<pubDate>Sun, 13 Apr 2008 14:13:27 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Programming]]></category>
		<category><![CDATA[mysql]]></category>
		<category><![CDATA[database optimization]]></category>

		<guid isPermaLink="false">http://vanonet.com/?p=5</guid>
		<description><![CDATA[Adding indexes to your tables is a great method to boost your application performance. Index helps database engine to quickly find requested data and performing efficient sorting and grouping operations. Today i was analized two similar bloghosting platforms. I was tried to find some bottlenecks in their architecture to enhance performance. First thing i was [...]]]></description>
			<content:encoded><![CDATA[<p>Adding indexes to your tables is a great method to boost your application performance. Index helps database engine to quickly find requested data and performing efficient sorting and grouping operations.<span id="more-5"></span> Today i was analized two similar bloghosting platforms. I was tried to find some bottlenecks in their architecture to enhance performance. First thing i was did is analize all important queries and add necesary indexes to related tables. There are great SQL statement which is greately helps in table optimization process^ EXPLAIN.</p>
<p>EXPLAIN SELECT * FROM SOME_TABLE WHERE ADATE&lt;NOW()</p>
<p>This simple query gives you all required information to decide which indexes mysql will use to execute this query and you can easily decide to add all additional indexes.</p>
<p>For more information read mysql manual.</p>
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