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	<title>Comments on: When 11g SQL is faster than 10g without any plan change&#8230;</title>
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		<title>By: Karl Reitschuster</title>
		<link>http://www.pythian.com/news/542/my-work-before-12g-goes-out/#comment-87341</link>
		<dc:creator>Karl Reitschuster</dc:creator>
		<pubDate>Tue, 21 Aug 2007 06:19:09 +0000</pubDate>
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		<description>Hi,
in the 10g example it needed 100556  Block accesses - means to me 
100000 Lookups fo the table
556 for the index scan

in the 11g example the number blocks of index scans is the same : 3373 
2817 aggregated (index rowid cached) lookups (some rowid processing ...)
556 for the index scans

how many blocks has your table?
Karl</description>
		<content:encoded><![CDATA[<p>Hi,<br />
in the 10g example it needed 100556  Block accesses &#8211; means to me<br />
100000 Lookups fo the table<br />
556 for the index scan</p>
<p>in the 11g example the number blocks of index scans is the same : 3373<br />
2817 aggregated (index rowid cached) lookups (some rowid processing &#8230;)<br />
556 for the index scans</p>
<p>how many blocks has your table?<br />
Karl</p>
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	<item>
		<title>By: arkzoyd</title>
		<link>http://www.pythian.com/news/542/my-work-before-12g-goes-out/#comment-83861</link>
		<dc:creator>arkzoyd</dc:creator>
		<pubDate>Sat, 11 Aug 2007 12:57:35 +0000</pubDate>
		<guid isPermaLink="false">http://www.pythian.com/blogs/542/my-work-before-12g-goes-out#comment-83861</guid>
		<description>More tests will help figure out how it works. I don&#039;t know exactly the detail. 

Try to raise the index clustering factor and you&#039;ll see the number of consistent gets raising too. From what I understand, instead of managing a row at a time from the 1st step of the NL, it deals with severals (That&#039;s why it uses to manage more 100 000 blocks for 100 000 rows and now less). I&#039;ve not been able to truly demonstrate it but I guess it works per block. Anyway what can been seen fom all the tests I&#039;ve done, it&#039;s always more efficient than 10g from a consistent gets perspective.

Gregory</description>
		<content:encoded><![CDATA[<p>More tests will help figure out how it works. I don&#8217;t know exactly the detail. </p>
<p>Try to raise the index clustering factor and you&#8217;ll see the number of consistent gets raising too. From what I understand, instead of managing a row at a time from the 1st step of the NL, it deals with severals (That&#8217;s why it uses to manage more 100 000 blocks for 100 000 rows and now less). I&#8217;ve not been able to truly demonstrate it but I guess it works per block. Anyway what can been seen fom all the tests I&#8217;ve done, it&#8217;s always more efficient than 10g from a consistent gets perspective.</p>
<p>Gregory</p>
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	<item>
		<title>By: Amit Poddar</title>
		<link>http://www.pythian.com/news/542/my-work-before-12g-goes-out/#comment-83631</link>
		<dc:creator>Amit Poddar</dc:creator>
		<pubDate>Fri, 10 Aug 2007 21:10:46 +0000</pubDate>
		<guid isPermaLink="false">http://www.pythian.com/blogs/542/my-work-before-12g-goes-out#comment-83631</guid>
		<description>Hi,

Could you help me understand what modification in the algorightm has so dramitcally brought down the consistent gets ?

amit</description>
		<content:encoded><![CDATA[<p>Hi,</p>
<p>Could you help me understand what modification in the algorightm has so dramitcally brought down the consistent gets ?</p>
<p>amit</p>
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