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	<title>Comments on: Oracle 11G Result Cache in the Real World</title>
	<link>http://www.pythian.com/blogs/1004/oracle-11g-result-cache-in-the-real-world</link>
	<description>News and views from Pythian DBAs</description>
	<pubDate>Tue,  7 Oct 2008 01:18:33 +0000</pubDate>
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		<item>
		<title>By: Alex Fatkulin</title>
		<link>http://www.pythian.com/blogs/1004/oracle-11g-result-cache-in-the-real-world#comment-202111</link>
		<dc:creator>Alex Fatkulin</dc:creator>
		<pubDate>Tue, 20 May 2008 18:37:55 +0000</pubDate>
		<guid>http://www.pythian.com/blogs/1004/oracle-11g-result-cache-in-the-real-world#comment-202111</guid>
		<description>Shakir,

"if the cache is able to spread the load across objects as well"

no it is not -- the entire cache is protected by a single latch

for details on RC latch dynamics, please see:

http://www.pythian.com/blogs/598/oracle-11g-query-result-cache-rc-latches</description>
		<content:encoded><![CDATA[<p>Shakir,</p>
<p>&#8220;if the cache is able to spread the load across objects as well&#8221;</p>
<p>no it is not &#8212; the entire cache is protected by a single latch</p>
<p>for details on RC latch dynamics, please see:</p>
<p><a href="http://www.pythian.com/blogs/598/oracle-11g-query-result-cache-rc-latches" rel="nofollow">http://www.pythian.com/blogs/598/oracle-11g-query-result-cache-rc-latches</a></p>
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		<title>By: Shakir Sadikali</title>
		<link>http://www.pythian.com/blogs/1004/oracle-11g-result-cache-in-the-real-world#comment-202095</link>
		<dc:creator>Shakir Sadikali</dc:creator>
		<pubDate>Tue, 20 May 2008 17:34:34 +0000</pubDate>
		<guid>http://www.pythian.com/blogs/1004/oracle-11g-result-cache-in-the-real-world#comment-202095</guid>
		<description>Nice post Alex.  Many of the clients i support on my team express exactly this type of usage pattern.  They don't follow the standard 20% of user do 80% of the work rule.  It really is random and your example shows quite well what type of behaviour we'd see on our systems.  I'm curious to know how the example would far if you added a few more tables into the mix to see if the cache is able to spread the load across objects as well.</description>
		<content:encoded><![CDATA[<p>Nice post Alex.  Many of the clients i support on my team express exactly this type of usage pattern.  They don&#8217;t follow the standard 20% of user do 80% of the work rule.  It really is random and your example shows quite well what type of behaviour we&#8217;d see on our systems.  I&#8217;m curious to know how the example would far if you added a few more tables into the mix to see if the cache is able to spread the load across objects as well.</p>
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