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	<title>select * from depesz; &#187; sproc</title>
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		<title>Profiling stored procedures/functions</title>
		<link>http://www.depesz.com/2010/03/18/profiling-stored-proceduresfunctions/</link>
		<comments>http://www.depesz.com/2010/03/18/profiling-stored-proceduresfunctions/#comments</comments>
		<pubDate>Thu, 18 Mar 2010 12:56:06 +0000</pubDate>
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				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[cte]]></category>
		<category><![CDATA[function]]></category>
		<category><![CDATA[performance]]></category>
		<category><![CDATA[postgresql]]></category>
		<category><![CDATA[procedure]]></category>
		<category><![CDATA[profiling]]></category>
		<category><![CDATA[sproc]]></category>
		<category><![CDATA[stored]]></category>
		<category><![CDATA[stored procedure]]></category>
		<category><![CDATA[trigger]]></category>
		<category><![CDATA[window functions]]></category>
		<category><![CDATA[with]]></category>

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		<description><![CDATA[One database that I am monitoring uses a lot of stored procedures. Some of them are fast, some of them are not so fast. I thought &#8211; is there a sensible way to diagnose which part of stored procedure take the most time? I mean &#8211; I could just put the logic into application, and [...]]]></description>
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