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	<title>blog.dev001.net &#187; MyISAM</title>
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	<link>http://blog.dev001.net</link>
	<description>Just another Web Developer's weblog</description>
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		<title>Comparing myisam_suggest with a book&#8217;s index</title>
		<link>http://blog.dev001.net/2009/04/comparing-myisam_suggest-with-a-books-index/</link>
		<comments>http://blog.dev001.net/2009/04/comparing-myisam_suggest-with-a-books-index/#comments</comments>
		<pubDate>Thu, 23 Apr 2009 19:21:48 +0000</pubDate>
		<dc:creator>rfc2822</dc:creator>
				<category><![CDATA[Data Processing]]></category>
		<category><![CDATA[AutoComplete]]></category>
		<category><![CDATA[AutoSuggest]]></category>
		<category><![CDATA[full-text index]]></category>
		<category><![CDATA[MyISAM]]></category>

		<guid isPermaLink="false">http://blog.dev001.net/?p=196</guid>
		<description><![CDATA[Recently I had an idea how to illustrate how myisam_suggest works by a comparison with a normal printed book&#8217;s index: &#8220;AutoSuggest&#8221; for a printed book Image you have a thick book with hundreds of thousands of words in it. Now you want to know all words beginning with &#8220;fu&#8221; for some reason (= AutoSuggest). Without [...]]]></description>
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		<title>2/3 myisam_suggest: an AutoComplete tool for MySQL fulltext indices</title>
		<link>http://blog.dev001.net/2009/01/myisam_suggest-an-autocomplete-tool-for-mysql-fulltext-indices/</link>
		<comments>http://blog.dev001.net/2009/01/myisam_suggest-an-autocomplete-tool-for-mysql-fulltext-indices/#comments</comments>
		<pubDate>Sat, 17 Jan 2009 18:45:44 +0000</pubDate>
		<dc:creator>rfc2822</dc:creator>
				<category><![CDATA[Data Processing]]></category>
		<category><![CDATA[AutoComplete]]></category>
		<category><![CDATA[AutoSuggest]]></category>
		<category><![CDATA[database]]></category>
		<category><![CDATA[full-text]]></category>
		<category><![CDATA[index]]></category>
		<category><![CDATA[MyISAM]]></category>
		<category><![CDATA[MySQL]]></category>
		<category><![CDATA[search]]></category>
		<category><![CDATA[Web]]></category>

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		<description><![CDATA[As I&#8217;ve written in my previous post &#8220;1/3 Implementing an AutoSuggest feature using MySQL fulltext indices&#8221;, it&#8217;s possible to use the MySQL/MyISAM full-text index to extract search words for an AutoSuggest feature with great performance (because the index tree is used actually). This tool, called myisam_suggest, is my first implementation of this. Download Here: myisam_suggest.c [...]]]></description>
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		<title>1/3 Implementing an AutoSuggest feature using MySQL fulltext indices</title>
		<link>http://blog.dev001.net/2009/01/implementing-an-autosuggest-feature-using-mysql-fulltext-indices/</link>
		<comments>http://blog.dev001.net/2009/01/implementing-an-autosuggest-feature-using-mysql-fulltext-indices/#comments</comments>
		<pubDate>Sat, 17 Jan 2009 18:45:30 +0000</pubDate>
		<dc:creator>rfc2822</dc:creator>
				<category><![CDATA[Data Processing]]></category>
		<category><![CDATA[AutoComplete]]></category>
		<category><![CDATA[AutoSuggest]]></category>
		<category><![CDATA[database]]></category>
		<category><![CDATA[full-text index]]></category>
		<category><![CDATA[MyISAM]]></category>
		<category><![CDATA[MySQL]]></category>

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		<description><![CDATA[The MySQL full-text index Current MySQL versions provide a full-text index (FTI) which is generally used to index and search MyISAM (the default storage engine in MySQL) tables like this: SELECT id, content FROM documents WHERE MATCH&#40;content&#41; AGAINST &#40;&#34;tes*&#34; IN BOOLEAN MODE&#41; Internally, every indexed (text) column of a row is splitted into its words. [...]]]></description>
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