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	<title>Comments on: The promise of Drizzle</title>
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	<link>http://www.protocolostomy.com/2008/07/27/the-promise-of-drizzle/</link>
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	<pubDate>Thu, 08 Jan 2009 11:25:13 +0000</pubDate>
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		<title>By: Log Buffer #108: A Carnival of the Vanities for DBAs</title>
		<link>http://www.protocolostomy.com/2008/07/27/the-promise-of-drizzle/comment-page-1/#comment-2614</link>
		<dc:creator>Log Buffer #108: A Carnival of the Vanities for DBAs</dc:creator>
		<pubDate>Fri, 01 Aug 2008 17:05:33 +0000</pubDate>
		<guid isPermaLink="false">http://www.protocolostomy.com/?p=344#comment-2614</guid>
		<description>[...] downpour! Here&#8217;s Jay Pipes with Why I Am Involved in Drizzle. Musings of an Anonymous Geek on The Promise of Drizzle. Lukas Kahwe Smith says, &#8220;Drizzle, I welcome [...]</description>
		<content:encoded><![CDATA[<p>[...] downpour! Here&#8217;s Jay Pipes with Why I Am Involved in Drizzle. Musings of an Anonymous Geek on The Promise of Drizzle. Lukas Kahwe Smith says, &#8220;Drizzle, I welcome [...]</p>
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		<title>By: m0j0</title>
		<link>http://www.protocolostomy.com/2008/07/27/the-promise-of-drizzle/comment-page-1/#comment-2596</link>
		<dc:creator>m0j0</dc:creator>
		<pubDate>Thu, 31 Jul 2008 00:32:21 +0000</pubDate>
		<guid isPermaLink="false">http://www.protocolostomy.com/?p=344#comment-2596</guid>
		<description>@Frank

The scale doesn't really matter in terms of the code involved. You should be free to vertically pad temporal data using whatever granularity is supported by the engine. So, in other words, if MySQL supports date comparison based on day, week, month, year, or century (I'm not aware of century support, but hacks can be had), you should be able to vertically pad that data, because in order to do a comparison, MySQL already has to know what values are valid within the range. 

As for the join, it's discussed in the post, along with the issues that arise from that (the most obvious one in my case is, ironically, "scale"-related)</description>
		<content:encoded><![CDATA[<p>@Frank</p>
<p>The scale doesn&#8217;t really matter in terms of the code involved. You should be free to vertically pad temporal data using whatever granularity is supported by the engine. So, in other words, if MySQL supports date comparison based on day, week, month, year, or century (I&#8217;m not aware of century support, but hacks can be had), you should be able to vertically pad that data, because in order to do a comparison, MySQL already has to know what values are valid within the range. </p>
<p>As for the join, it&#8217;s discussed in the post, along with the issues that arise from that (the most obvious one in my case is, ironically, &#8220;scale&#8221;-related)</p>
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		<title>By: Frank Flynn</title>
		<link>http://www.protocolostomy.com/2008/07/27/the-promise-of-drizzle/comment-page-1/#comment-2595</link>
		<dc:creator>Frank Flynn</dc:creator>
		<pubDate>Thu, 31 Jul 2008 00:22:47 +0000</pubDate>
		<guid isPermaLink="false">http://www.protocolostomy.com/?p=344#comment-2595</guid>
		<description>One problem "vertical data-padding" is the scale - if I'm studying genetics in a fruit fly population hours might be more appropriate; if I'm studying geology perhaps centuries.  Should MySQL support every possible scale?
You could create a table of dates at the granularity you were interested in (in your case it sounded like days) and open join to it.  This gives you several other important advantages.  

I wrote a short tutorial on this at  
  http://www.declan.com/frank/projects/dates/index.php 
look down about 2/3's to see the specific application for your date-padding issue.</description>
		<content:encoded><![CDATA[<p>One problem &#8220;vertical data-padding&#8221; is the scale - if I&#8217;m studying genetics in a fruit fly population hours might be more appropriate; if I&#8217;m studying geology perhaps centuries.  Should MySQL support every possible scale?<br />
You could create a table of dates at the granularity you were interested in (in your case it sounded like days) and open join to it.  This gives you several other important advantages.  </p>
<p>I wrote a short tutorial on this at<br />
  <a href="http://www.declan.com/frank/projects/dates/index.php" rel="nofollow">http://www.declan.com/frank/projects/dates/index.php</a><br />
look down about 2/3&#8217;s to see the specific application for your date-padding issue.</p>
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		<title>By: Nome do Jogo &#187; Artigo &#187; Rails Podcast Brasil - Episódio 25</title>
		<link>http://www.protocolostomy.com/2008/07/27/the-promise-of-drizzle/comment-page-1/#comment-2563</link>
		<dc:creator>Nome do Jogo &#187; Artigo &#187; Rails Podcast Brasil - Episódio 25</dc:creator>
		<pubDate>Tue, 29 Jul 2008 15:15:02 +0000</pubDate>
		<guid isPermaLink="false">http://www.protocolostomy.com/?p=344#comment-2563</guid>
		<description>[...] The promise of Drizzle [...]</description>
		<content:encoded><![CDATA[<p>[...] The promise of Drizzle [...]</p>
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		<title>By: Parvesh Garg</title>
		<link>http://www.protocolostomy.com/2008/07/27/the-promise-of-drizzle/comment-page-1/#comment-2557</link>
		<dc:creator>Parvesh Garg</dc:creator>
		<pubDate>Tue, 29 Jul 2008 05:25:25 +0000</pubDate>
		<guid isPermaLink="false">http://www.protocolostomy.com/?p=344#comment-2557</guid>
		<description>Just last week I was also asked on "query fragments" in one of my sessions on MySQL. I felt it to be good if used (and/or implemented) with caution.

For me, something like "no query having more than 5-10% (or configurable) of table rows should be cached" kind of policy will work.</description>
		<content:encoded><![CDATA[<p>Just last week I was also asked on &#8220;query fragments&#8221; in one of my sessions on MySQL. I felt it to be good if used (and/or implemented) with caution.</p>
<p>For me, something like &#8220;no query having more than 5-10% (or configurable) of table rows should be cached&#8221; kind of policy will work.</p>
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