<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>
<channel>
	<title>SQL Server Performance &#187; Ami Levin</title>
	<atom:link href="http://www.sql-server-performance.com/author/amilevin/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.sql-server-performance.com</link>
	<description>SQL Server Performance Tuning</description>
	<lastBuildDate>Wed, 15 May 2013 08:10:41 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=3.5.1</generator>
		<item>
		<title>SQL Server Optimizer &#8211; Under the Hood Part 1</title>
		<link>http://www.sql-server-performance.com/2010/sql-server-optimizer-1/</link>
		<comments>http://www.sql-server-performance.com/2010/sql-server-optimizer-1/#comments</comments>
		<pubDate>Wed, 18 Aug 2010 01:12:50 +0000</pubDate>
		<dc:creator>Ami Levin</dc:creator>
				<category><![CDATA[Performance Tuning]]></category>
		<category><![CDATA[Optimizer]]></category>
		<guid isPermaLink="false">http://www.sql-server-performance.com/?=1888</guid>
		<description><![CDATA[SQL Server Optimizer, Under the Hood &#8211; Partial Aggregates Abstract: In this series of short articles, we lift the hood of the SQL Server Optimizer to examine a few of the many clever tricks used to optimize query performance.&#160; You&#8217;ll see that the Optimizer does not limit itself to using only the instructions provided by [...]]]></description>
		<wfw:commentRss>http://www.sql-server-performance.com/2010/sql-server-optimizer-1/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Physical Join Operators in SQL Server &#8211; Hash Operator</title>
		<link>http://www.sql-server-performance.com/2010/physical-join-operators-hash/</link>
		<comments>http://www.sql-server-performance.com/2010/physical-join-operators-hash/#comments</comments>
		<pubDate>Wed, 19 May 2010 01:12:50 +0000</pubDate>
		<dc:creator>Ami Levin</dc:creator>
				<category><![CDATA[General DBA]]></category>
		<guid isPermaLink="false">http://www.sql-server-performance.com/?=1867</guid>
		<description><![CDATA[In second part of this series on physical join operators we looked at the Merge Operator. In the final part of the series we turn our attention to the Hash operator. For this article series I am using an analogy of two sets of standard playing cards. One set with a blue back and another [...]]]></description>
		<wfw:commentRss>http://www.sql-server-performance.com/2010/physical-join-operators-hash/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>Physical Join Operators in SQL Server &#8211; Merge Operator</title>
		<link>http://www.sql-server-performance.com/2010/physical-join-operators-merge/</link>
		<comments>http://www.sql-server-performance.com/2010/physical-join-operators-merge/#comments</comments>
		<pubDate>Mon, 17 May 2010 01:12:50 +0000</pubDate>
		<dc:creator>Ami Levin</dc:creator>
				<category><![CDATA[General DBA]]></category>
		<category><![CDATA[Join]]></category>
		<category><![CDATA[Merge]]></category>
		<guid isPermaLink="false">http://www.sql-server-performance.com/?=1866</guid>
		<description><![CDATA[In Part I of this series on physical join operators we looked at Nested Loops. We now turn our attention to the Merge operator. For this article series I am using an analogy of two sets of standard playing cards. One set with a blue back and another with a red back that need to [...]]]></description>
		<wfw:commentRss>http://www.sql-server-performance.com/2010/physical-join-operators-merge/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Physical Join Operators in SQL Server &#8211; Nested Loops</title>
		<link>http://www.sql-server-performance.com/2010/pysical-join-operators/</link>
		<comments>http://www.sql-server-performance.com/2010/pysical-join-operators/#comments</comments>
		<pubDate>Tue, 11 May 2010 01:12:50 +0000</pubDate>
		<dc:creator>Ami Levin</dc:creator>
				<category><![CDATA[General DBA]]></category>
		<guid isPermaLink="false">http://www.sql-server-performance.com/?=1865</guid>
		<description><![CDATA[SQL Server implements three different physical operators to perform joins. In this article series we will examine&#160; how each&#160; operators works, its advantages and challenges. We will try to understand the logic behind the optimizer’s decisions on which operator to use for various joins using (semi) real life examples and how to avoid common pitfalls. [...]]]></description>
		<wfw:commentRss>http://www.sql-server-performance.com/2010/pysical-join-operators/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>SQL Server Logical Reads – What do they really tell us?</title>
		<link>http://www.sql-server-performance.com/2010/logical-reads/</link>
		<comments>http://www.sql-server-performance.com/2010/logical-reads/#comments</comments>
		<pubDate>Wed, 27 Jan 2010 01:12:50 +0000</pubDate>
		<dc:creator>Ami Levin</dc:creator>
				<category><![CDATA[Performance Tuning]]></category>
		<guid isPermaLink="false">http://www.sql-server-performance.com/?=1820</guid>
		<description><![CDATA[SQL Server trace, the most common tool DBAs use to evaluate query performance, provides the ‘logical reads’ counter on which many DBAs rely for evaluating a query’s I/O performance. In this article, we will examine this counter’s true meaning and provide examples that prove it can sometimes be quite misleading… I am sure you have [...]]]></description>
		<wfw:commentRss>http://www.sql-server-performance.com/2010/logical-reads/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
	</channel>
</rss>

<!-- Dynamic page generated in 0.281 seconds. -->
<!-- Cached page generated by WP-Super-Cache on 2013-05-18 14:33:09 -->
