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	<title>Comments on: Analysing Statspack (7)</title>
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		<title>By: xpchild &#187; analysing statspack 7</title>
		<link>http://jonathanlewis.wordpress.com/2007/10/23/analysing-statspack-7/#comment-41128</link>
		<dc:creator><![CDATA[xpchild &#187; analysing statspack 7]]></dc:creator>
		<pubDate>Sat, 30 Jul 2011 07:14:59 +0000</pubDate>
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		<description><![CDATA[[...] 原文：http://jonathanlewis.wordpress.com/2007/10/23/analysing-statspack-7/ [...]]]></description>
		<content:encoded><![CDATA[<p>[...] 原文：http://jonathanlewis.wordpress.com/2007/10/23/analysing-statspack-7/ [...]</p>
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		<title>By: Robert</title>
		<link>http://jonathanlewis.wordpress.com/2007/10/23/analysing-statspack-7/#comment-23514</link>
		<dc:creator><![CDATA[Robert]]></dc:creator>
		<pubDate>Wed, 31 Oct 2007 12:13:12 +0000</pubDate>
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		<description><![CDATA[This is pretty much what Millsap and Holt write in their &quot;Optimizing Oracle Performance&quot;: you cannot extract detail from a aggregated value.  Which is perfectly logical but reminding people is probably a good idea since often only these aggregated values are looked at.  (Speculation: maybe it&#039;s because they are easier available.)]]></description>
		<content:encoded><![CDATA[<p>This is pretty much what Millsap and Holt write in their &#8220;Optimizing Oracle Performance&#8221;: you cannot extract detail from a aggregated value.  Which is perfectly logical but reminding people is probably a good idea since often only these aggregated values are looked at.  (Speculation: maybe it&#8217;s because they are easier available.)</p>
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		<title>By: Pierre Roussin</title>
		<link>http://jonathanlewis.wordpress.com/2007/10/23/analysing-statspack-7/#comment-23054</link>
		<dc:creator><![CDATA[Pierre Roussin]]></dc:creator>
		<pubDate>Thu, 25 Oct 2007 10:01:44 +0000</pubDate>
		<guid isPermaLink="false">http://jonathanlewis.wordpress.com/2007/10/23/analysing-statspack-7/#comment-23054</guid>
		<description><![CDATA[To me it looks like a not so badly tuned db, I compared your figures to similar figures I got from a 255 users Siebel database before I started to tune it. So speculatively:
Indexes need to be rebuilt possibly to remove buffer busy waits;
sequential read contentions in the cache, lots of concurrency; 
they might not be using ASSM; 
check point incomplete needs to fixed evidently; 
if there are 16 cpu&#039;s there could be a lack of RAM.
P.]]></description>
		<content:encoded><![CDATA[<p>To me it looks like a not so badly tuned db, I compared your figures to similar figures I got from a 255 users Siebel database before I started to tune it. So speculatively:<br />
Indexes need to be rebuilt possibly to remove buffer busy waits;<br />
sequential read contentions in the cache, lots of concurrency;<br />
they might not be using ASSM;<br />
check point incomplete needs to fixed evidently;<br />
if there are 16 cpu&#8217;s there could be a lack of RAM.<br />
P.</p>
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		<title>By: Gary</title>
		<link>http://jonathanlewis.wordpress.com/2007/10/23/analysing-statspack-7/#comment-22950</link>
		<dc:creator><![CDATA[Gary]]></dc:creator>
		<pubDate>Wed, 24 Oct 2007 00:32:42 +0000</pubDate>
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		<description><![CDATA[The PL/SQL lock timer suggests 4,077 one-minute &#039;sleeps&#039; which might be associated with a batch job timed to pick up from a queue. It also suggests 68 hours if there was one job doing all the waiting, and nothing else, and it was running all the time. That is a multiple of the 17 hours you get as a minimum time for 16 CPUs. Maybe there were only 4 CPUs and it was a 68 hour interval, with CPUs maxed at a constant 100%. As you say, pure conjecture.]]></description>
		<content:encoded><![CDATA[<p>The PL/SQL lock timer suggests 4,077 one-minute &#8216;sleeps&#8217; which might be associated with a batch job timed to pick up from a queue. It also suggests 68 hours if there was one job doing all the waiting, and nothing else, and it was running all the time. That is a multiple of the 17 hours you get as a minimum time for 16 CPUs. Maybe there were only 4 CPUs and it was a 68 hour interval, with CPUs maxed at a constant 100%. As you say, pure conjecture.</p>
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