<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	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/"
		>
<channel>
	<title>Comments on: Bloom Filters</title>
	<atom:link href="http://structureddata.org/2007/10/23/bloom-filters/feed/" rel="self" type="application/rss+xml" />
	<link>http://structureddata.org/2007/10/23/bloom-filters/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=bloom-filters</link>
	<description>Data, Databases, Performance &#38; Scalability</description>
	<lastBuildDate>Sun, 13 May 2012 01:52:50 -0400</lastBuildDate>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=3.3.2</generator>
	<item>
		<title>By: Greg Rahn</title>
		<link>http://structureddata.org/2007/10/23/bloom-filters/#comment-11442</link>
		<dc:creator>Greg Rahn</dc:creator>
		<pubDate>Mon, 14 Jun 2010 13:57:34 +0000</pubDate>
		<guid isPermaLink="false">http://structureddata.org/2007/10/23/bloom-filters/#comment-11442</guid>
		<description>@Ichiro

The SALES tables is partitioned on CUST_ID and you can tell this because the execution plan has BF0000 in the Pstart/Pstop column and CUST_ID is the only predicate on SALES (see Predicate Information section).  In this case the BF populated by CUST_IDs from CUSTOMER and applied to SALES to prune on the partitioned table (we call this bloom pruning).  The BF has nothing to do with the HASH GROUP BY row source.</description>
		<content:encoded><![CDATA[<p>@Ichiro</p>
<p>The SALES tables is partitioned on CUST_ID and you can tell this because the execution plan has BF0000 in the Pstart/Pstop column and CUST_ID is the only predicate on SALES (see Predicate Information section).  In this case the BF populated by CUST_IDs from CUSTOMER and applied to SALES to prune on the partitioned table (we call this bloom pruning).  The BF has nothing to do with the HASH GROUP BY row source.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Ichiro</title>
		<link>http://structureddata.org/2007/10/23/bloom-filters/#comment-11441</link>
		<dc:creator>Ichiro</dc:creator>
		<pubDate>Mon, 14 Jun 2010 09:17:46 +0000</pubDate>
		<guid isPermaLink="false">http://structureddata.org/2007/10/23/bloom-filters/#comment-11441</guid>
		<description>I agree if SALES and/or CUSTOMERS were created as partitioned tables. But I&#039;m not sure if they&#039;re not partitioned. In your test, BF was usefule as &quot;HASH GROUP BY&quot; execution.</description>
		<content:encoded><![CDATA[<p>I agree if SALES and/or CUSTOMERS were created as partitioned tables. But I&#8217;m not sure if they&#8217;re not partitioned. In your test, BF was usefule as &#8220;HASH GROUP BY&#8221; execution.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Greg Rahn</title>
		<link>http://structureddata.org/2007/10/23/bloom-filters/#comment-48</link>
		<dc:creator>Greg Rahn</dc:creator>
		<pubDate>Wed, 24 Oct 2007 15:13:39 +0000</pubDate>
		<guid isPermaLink="false">http://structureddata.org/2007/10/23/bloom-filters/#comment-48</guid>
		<description>You are correct Christian, bloom filters are in 10gR2 and I don&#039;t believe they were specifically documented but probably fell under &quot;Optimizer Enhancements&quot; or similar.</description>
		<content:encoded><![CDATA[<p>You are correct Christian, bloom filters are in 10gR2 and I don&#8217;t believe they were specifically documented but probably fell under &#8220;Optimizer Enhancements&#8221; or similar.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Christian Antognini</title>
		<link>http://structureddata.org/2007/10/23/bloom-filters/#comment-47</link>
		<dc:creator>Christian Antognini</dc:creator>
		<pubDate>Wed, 24 Oct 2007 06:04:55 +0000</pubDate>
		<guid isPermaLink="false">http://structureddata.org/2007/10/23/bloom-filters/#comment-47</guid>
		<description>Hi Greg

I guess you know it... But for the other readers that might ignore it just a short information from my part. Bloom filters are already available in 10gR2. Unfortunately, for some unknown reasons (at least for me), Oracle never documented such a wonderful feature!

Take care,
Chris</description>
		<content:encoded><![CDATA[<p>Hi Greg</p>
<p>I guess you know it&#8230; But for the other readers that might ignore it just a short information from my part. Bloom filters are already available in 10gR2. Unfortunately, for some unknown reasons (at least for me), Oracle never documented such a wonderful feature!</p>
<p>Take care,<br />
Chris</p>
]]></content:encoded>
	</item>
</channel>
</rss>

<!-- Performance optimized by W3 Total Cache. Learn more: http://www.w3-edge.com/wordpress-plugins/

Page Caching using disk: enhanced (User agent is rejected)
Database Caching 8/11 queries in 0.004 seconds using disk: basic
Object Caching 349/378 objects using disk: basic

Served from: structureddata.org @ 2012-05-17 07:14:50 -->
