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	<title>ScalingWeb Blog</title>
	<link>http://blog.scalingweb.com</link>
	<description>Programming tips and tricks</description>
	<pubDate>Wed, 02 Apr 2008 12:03:31 +0000</pubDate>
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		<title>STL Based Mork Parser Has Been Released</title>
		<link>http://blog.scalingweb.com/2008/04/02/stl-based-mork-parser-has-been-released/</link>
		<comments>http://blog.scalingweb.com/2008/04/02/stl-based-mork-parser-has-been-released/#comments</comments>
		<pubDate>Wed, 02 Apr 2008 12:03:31 +0000</pubDate>
		<dc:creator>Yuriy</dc:creator>
		
		<category><![CDATA[C++]]></category>

		<category><![CDATA[mork]]></category>

		<category><![CDATA[programming]]></category>

		<category><![CDATA[mozilla]]></category>

		<category><![CDATA[thunderbird]]></category>

		<guid isPermaLink="false">http://blog.scalingweb.com/2008/04/02/stl-based-mork-parser-has-been-released/</guid>
		<description><![CDATA[Standalone version of  Mork Parser based on STL has been released. There&#8217;s no external dependencies anymore, plus example of reading Mozilla Thunderbird address book is included!
Mork Parser Home Page
]]></description>
			<content:encoded><![CDATA[<p>Standalone version of  Mork Parser based on STL has been released. There&#8217;s no external dependencies anymore, plus example of reading Mozilla Thunderbird address book is included!</p>
<p><a href="http://www.scalingweb.com/mork_parser.php">Mork Parser Home Page</a></p>
]]></content:encoded>
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		<item>
		<title>MuZmA.Podcasts - New Podcast Search Engine</title>
		<link>http://blog.scalingweb.com/2007/12/04/muzmapodcasts-new-podcast-search-engine/</link>
		<comments>http://blog.scalingweb.com/2007/12/04/muzmapodcasts-new-podcast-search-engine/#comments</comments>
		<pubDate>Tue, 04 Dec 2007 14:18:17 +0000</pubDate>
		<dc:creator>Yuriy</dc:creator>
		
		<category><![CDATA[podcasts]]></category>

		<category><![CDATA[search]]></category>

		<category><![CDATA[search engine]]></category>

		<category><![CDATA[announcement]]></category>

		<category><![CDATA[podcast]]></category>

		<category><![CDATA[podcast search]]></category>

		<category><![CDATA[rss]]></category>

		<guid isPermaLink="false">http://blog.scalingweb.com/2007/12/04/muzmapodcasts-new-podcast-search-engine/</guid>
		<description><![CDATA[ScalingWeb.com announces launch of MuZmA.Podcasts - the new podcast search engine.
Search for video and audio podcasts and play them right from the search page.
]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.scalingweb.com">ScalingWeb.com</a> announces launch of <a href="http://podcasts.muzma.com" title="MuZmA Podcast Search Engine">MuZmA.Podcasts</a> - the new <strong>podcast search engine</strong>.<br />
Search for video and audio podcasts and play them right from the search page.<br />
 <a href="http://blog.scalingweb.com/2007/12/04/muzmapodcasts-new-podcast-search-engine/#more-7" class="more-link">(more&#8230;)</a></p>
]]></content:encoded>
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		<item>
		<title>How to Read Remote MP3 File Info Without Downloading Entire File</title>
		<link>http://blog.scalingweb.com/2007/11/29/how-to-read-remote-mp3-file-info-without-downloading-entire-file/</link>
		<comments>http://blog.scalingweb.com/2007/11/29/how-to-read-remote-mp3-file-info-without-downloading-entire-file/#comments</comments>
		<pubDate>Thu, 29 Nov 2007 17:21:11 +0000</pubDate>
		<dc:creator>Yuriy</dc:creator>
		
		<category><![CDATA[podcasts]]></category>

		<category><![CDATA[programming]]></category>

		<category><![CDATA[python]]></category>

		<category><![CDATA[howto]]></category>

		<category><![CDATA[http]]></category>

		<category><![CDATA[id3]]></category>

		<category><![CDATA[mp3]]></category>

		<category><![CDATA[tips]]></category>

		<category><![CDATA[web]]></category>

		<guid isPermaLink="false">http://blog.scalingweb.com/2007/11/29/how-to-read-remote-mp3-file-info-without-downloading-entire-file/</guid>
		<description><![CDATA[I&#8217;d like to share technique I came up with when I needed to index a lot of mp3 podcasts located on remote servers. It would have taken weeks if downloading entire files, count was on tens of thousands.
Example is in Python, but any other programming language could be used to perform these steps.
]]></description>
			<content:encoded><![CDATA[<p>I&#8217;d like to share technique I came up with when I needed to index a lot of mp3 podcasts located on remote servers. It would have taken weeks if downloading entire files, count was on tens of thousands.</p>
<p>Example is in Python, but any other programming language could be used to perform these steps.<br />
 <a href="http://blog.scalingweb.com/2007/11/29/how-to-read-remote-mp3-file-info-without-downloading-entire-file/#more-6" class="more-link">(more&#8230;)</a></p>
]]></content:encoded>
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		<title>Full-Text Search for Database Using Lucene Search Engine</title>
		<link>http://blog.scalingweb.com/2007/11/03/full-text-search-for-database-using-lucene-search-engine/</link>
		<comments>http://blog.scalingweb.com/2007/11/03/full-text-search-for-database-using-lucene-search-engine/#comments</comments>
		<pubDate>Sat, 03 Nov 2007 20:21:08 +0000</pubDate>
		<dc:creator>Yuriy</dc:creator>
		
		<category><![CDATA[search]]></category>

		<category><![CDATA[search engine]]></category>

		<category><![CDATA[java]]></category>

		<category><![CDATA[lucene]]></category>

		<category><![CDATA[optimization]]></category>

		<category><![CDATA[programming]]></category>

		<guid isPermaLink="false">http://blog.scalingweb.com/2007/11/03/full-text-search-for-database-using-lucene-search-engine/</guid>
		<description><![CDATA[We would like to show you how to create full-text index, thus making your database searchable.  MySQL has full-text indexing capabilities built in, but if you want really  powerful search which scales you&#8217;ll have to do it yourself.
This post is based on real experience of optimizing index and search for 30 million documents [...]]]></description>
			<content:encoded><![CDATA[<p>We would like to show you how to create full-text index, thus making your database searchable.  MySQL has full-text indexing capabilities built in, but if you want really  powerful search which scales you&#8217;ll have to do it yourself.<br />
This post is based on real experience of optimizing index and search for 30 million documents database.</p>
<p>By employing these optimization techniques we were able to speed up indexing time from 15 seconds per 1000 rows, to 1 second.  After optimizing queries and index structure, searches ran 7-10 times faster as well.</p>
<p><a href="http://lucene.apache.org/">Lucene</a> is great and very flexible search engine, but if not properly used it may not perform very well during indexing and search.  Especially when number of rows counts to millions.</p>
<p> <a href="http://blog.scalingweb.com/2007/11/03/full-text-search-for-database-using-lucene-search-engine/#more-4" class="more-link">(more&#8230;)</a></p>
]]></content:encoded>
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		</item>
		<item>
		<title>Welcome to ScalingWeb Blog</title>
		<link>http://blog.scalingweb.com/2007/11/03/welcome-to-scalingweb-blog/</link>
		<comments>http://blog.scalingweb.com/2007/11/03/welcome-to-scalingweb-blog/#comments</comments>
		<pubDate>Sat, 03 Nov 2007 20:19:02 +0000</pubDate>
		<dc:creator>Yuriy</dc:creator>
		
		<category><![CDATA[general]]></category>

		<category><![CDATA[scalingweb]]></category>

		<guid isPermaLink="false">http://blog.scalingweb.com/2007/11/03/welcome-to-scalingweb-blog/</guid>
		<description><![CDATA[Welcome to ScalingWeb Blog.
We started it to share what we think is interesting in programming in general and more specifically in search engines development world.

]]></description>
			<content:encoded><![CDATA[<p>Welcome to ScalingWeb Blog.</p>
<p>We started it to share what we think is interesting in programming in general and more specifically in search engines development world.</p>
<p><!-- adman --></p>
]]></content:encoded>
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