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	<title>VoltDB Blog &#187; Douglas Patten</title>
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	<link>http://blog.voltdb.com</link>
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		<title>Leaderboards: Optimization for Ranking-Related Queries</title>
		<link>http://blog.voltdb.com/leaderboards-optimization-ranking-related-queries/</link>
		<comments>http://blog.voltdb.com/leaderboards-optimization-ranking-related-queries/#comments</comments>
		<pubDate>Fri, 05 Oct 2012 18:07:09 +0000</pubDate>
		<dc:creator>Douglas Patten</dc:creator>
				<category><![CDATA[Community]]></category>
		<category><![CDATA[Building VoltDB Apps]]></category>
		<category><![CDATA[High Throughput Apps]]></category>
		<category><![CDATA[Java]]></category>
		<category><![CDATA[Performance]]></category>
		<category><![CDATA[VoltDB Applications]]></category>

		<guid isPermaLink="false">http://newblog.voltdb.com/?p=163</guid>
		<description><![CDATA[<p>My name is Xin Jia and I was one of the student interns at VoltDB this summer. For one of my projects, I worked on a feature that greatly improved the performance of ranking-related queries.</p>
<p>Finding the rank of an entry in a sorted list of data is a common operation in a lot of applications. Take a leaderboard within gaming application as an example: it is common to have a scoreboard that keeps track of users’ scores. Questions like, “what are the top-<em>n</em> users and their corresponding scores?”, or “what is the rank of a certain user?” are &#8230; <a href="http://blog.voltdb.com/leaderboards-optimization-ranking-related-queries/" class="read_more">Read more</a></p>]]></description>
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		<title>VoltDB Explain Plan Command and Planner Testing Tool</title>
		<link>http://blog.voltdb.com/voltdb-explain-plan-command-and-planner-testing-tool/</link>
		<comments>http://blog.voltdb.com/voltdb-explain-plan-command-and-planner-testing-tool/#comments</comments>
		<pubDate>Wed, 12 Sep 2012 17:33:13 +0000</pubDate>
		<dc:creator>Douglas Patten</dc:creator>
				<category><![CDATA[VoltDB Products]]></category>
		<category><![CDATA[Building VoltDB Apps]]></category>
		<category><![CDATA[NoSQL]]></category>
		<category><![CDATA[Performance]]></category>
		<category><![CDATA[SQL]]></category>
		<category><![CDATA[VoltDB Applications]]></category>

		<guid isPermaLink="false">http://newblog.voltdb.com/?p=128</guid>
		<description><![CDATA[<p>My name is Zheng Li, a UMass Lowell graduate student. I spent the summer as an internship at VoltDB. Over the summer, I primarily worked on two VoltDB features, both related to query plans. The features are:</p>
<ol>
<li>Explain plan command</li>
<li>Planner testing tool</li>
</ol>
<p>A <em>query plan </em>is an ordered set of steps used to access or modify information in a SQL relational database management system (see <a href="http://en.wikipedia.org/wiki/Query_plan" data-cke-saved-href="http://en.wikipedia.org/wiki/Query_plan">http</a><a href="http://en.wikipedia.org/wiki/Query_plan" data-cke-saved-href="http://en.wikipedia.org/wiki/Query_plan">://</a><a href="http://en.wikipedia.org/wiki/Query_plan" data-cke-saved-href="http://en.wikipedia.org/wiki/Query_plan">en</a><a href="http://en.wikipedia.org/wiki/Query_plan" data-cke-saved-href="http://en.wikipedia.org/wiki/Query_plan">.</a><a href="http://en.wikipedia.org/wiki/Query_plan" data-cke-saved-href="http://en.wikipedia.org/wiki/Query_plan">wikipedia</a><a href="http://en.wikipedia.org/wiki/Query_plan" data-cke-saved-href="http://en.wikipedia.org/wiki/Query_plan">.</a><a href="http://en.wikipedia.org/wiki/Query_plan" data-cke-saved-href="http://en.wikipedia.org/wiki/Query_plan">org</a><a href="http://en.wikipedia.org/wiki/Query_plan" data-cke-saved-href="http://en.wikipedia.org/wiki/Query_plan">/</a><a href="http://en.wikipedia.org/wiki/Query_plan" data-cke-saved-href="http://en.wikipedia.org/wiki/Query_plan">wiki</a><a href="http://en.wikipedia.org/wiki/Query_plan" data-cke-saved-href="http://en.wikipedia.org/wiki/Query_plan">/</a><a href="http://en.wikipedia.org/wiki/Query_plan" data-cke-saved-href="http://en.wikipedia.org/wiki/Query_plan">Query</a><a href="http://en.wikipedia.org/wiki/Query_plan" data-cke-saved-href="http://en.wikipedia.org/wiki/Query_plan">_</a><a href="http://en.wikipedia.org/wiki/Query_plan" data-cke-saved-href="http://en.wikipedia.org/wiki/Query_plan">plan</a>).  Understanding query plans is important because the first plan chosen to execute will directly affect the query execution time. Both &#8230; <a href="http://blog.voltdb.com/voltdb-explain-plan-command-and-planner-testing-tool/" class="read_more">Read more</a></p>]]></description>
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		<title>VoltDB &#8211; Simplified CSV Loader</title>
		<link>http://blog.voltdb.com/voltdb-simplified-csv-loader/</link>
		<comments>http://blog.voltdb.com/voltdb-simplified-csv-loader/#comments</comments>
		<pubDate>Thu, 23 Aug 2012 17:21:09 +0000</pubDate>
		<dc:creator>Douglas Patten</dc:creator>
				<category><![CDATA[Community]]></category>
		<category><![CDATA[Building VoltDB Apps]]></category>
		<category><![CDATA[Performance]]></category>
		<category><![CDATA[Stored Procedures]]></category>
		<category><![CDATA[VoltDB Applications]]></category>

		<guid isPermaLink="false">http://newblog.voltdb.com/?p=116</guid>
		<description><![CDATA[<p>My name is Xin Jia, a Brown University student, and I’ve spent the summer interning at VoltDB. One of the first projects that I worked on this summer was a CSV Loader with fellow intern Zheng Li.</p>
<p>Prior to VoltDB 2.8, loading data from CSV files into the database could be a challenging task, especially for newcomers. There were a few steps that needed to be taken: you would need to write a client program to parse the CSV data, handle errors and ultimately invoke a stored procedure to insert the data into the database. Extra care needed to be &#8230; <a href="http://blog.voltdb.com/voltdb-simplified-csv-loader/" class="read_more">Read more</a></p>]]></description>
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