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	<title>Comments on: Insanity</title>
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	<link>http://halfcooked.com/blog/2007/09/20/insanity/</link>
	<description>Wherein I write some stuff  that you may like to read. Or not, its up to you really.</description>
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		<title>By: Python Bytes - Today&#8217;s Top Blog Posts on Python - Powered by SocialRank</title>
		<link>http://halfcooked.com/blog/2007/09/20/insanity/comment-page-1/#comment-17562</link>
		<dc:creator>Python Bytes - Today&#8217;s Top Blog Posts on Python - Powered by SocialRank</dc:creator>
		<pubDate>Mon, 01 Oct 2007 10:04:21 +0000</pubDate>
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		<description>[...] Insanity [...]</description>
		<content:encoded><![CDATA[<p>[...] Insanity [...]</p>
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		<title>By: Andy Todd</title>
		<link>http://halfcooked.com/blog/2007/09/20/insanity/comment-page-1/#comment-17039</link>
		<dc:creator>Andy Todd</dc:creator>
		<pubDate>Fri, 21 Sep 2007 11:59:42 +0000</pubDate>
		<guid isPermaLink="false">http://halfcooked.com/blog/2007/09/20/insanity/#comment-17039</guid>
		<description>We looked at it, but bearing in mind that other updates are happening to the table in real time it was a little impractical.</description>
		<content:encoded><![CDATA[<p>We looked at it, but bearing in mind that other updates are happening to the table in real time it was a little impractical.</p>
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		<title>By: Chris Clarke</title>
		<link>http://halfcooked.com/blog/2007/09/20/insanity/comment-page-1/#comment-17038</link>
		<dc:creator>Chris Clarke</dc:creator>
		<pubDate>Fri, 21 Sep 2007 11:57:19 +0000</pubDate>
		<guid isPermaLink="false">http://halfcooked.com/blog/2007/09/20/insanity/#comment-17038</guid>
		<description>Yea i feel your pain. Could you not have pd_dumped the data and created copied the old table structure and pg_restore to the new structure???
I&#039;ve tried this a couple of times with good results but not with 13 M rows!!!.</description>
		<content:encoded><![CDATA[<p>Yea i feel your pain. Could you not have pd_dumped the data and created copied the old table structure and pg_restore to the new structure???<br />
I&#8217;ve tried this a couple of times with good results but not with 13 M rows!!!.</p>
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