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From: Daniel Morgan <damorgan@x.washington.edu>
Newsgroups: comp.databases.oracle.server
Subject: Re: modifying and adding columns to a big table
Date: Tue, 11 Nov 2003 12:44:42 -0800
Organization: ATS
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Rob Cowell wrote:

>Daniel Morgan wrote:
>  
>
>>2. 1.3M rows is so small it is hardly worth partitioning. This is a very
>>small table. I hope
>>you didn't expend the money for EE just for this.
>>    
>>
>
>That's a bit of a generalistaion. Partitioning can be for performance,
>not just administration. 
>
>I work with some similar sized (assuming his rows aren't 4Mb each, why
>do people quote table sizes in numbers of rows?) tables that are hit
>hundreds of times a day to read about a 10th of all the rows for report
>generation, depending on the value of a certain key. Partitioning on
>that key drastically reduces scan times, because we don't need to scan
>the whole table, but an index wouldn't be selective enough to be worth
>using.
>  
>
Tables that are ht hundreds of times per day to read about a 10th of the 
rows probably
have all of the information cached in memory unless they are very large 
tables which is why
my comment.

-- 
Daniel Morgan
http://www.outreach.washington.edu/ext/certificates/oad/oad_crs.asp
http://www.outreach.washington.edu/ext/certificates/aoa/aoa_crs.asp
damorgan@x.washington.edu
(replace 'x' with a 'u' to reply)


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Rob Cowell wrote:<br>
<blockquote type="cite" cite="mid3FB0AF1C.30D7FE72@hotmail.com">
  <pre wrap="">
Daniel Morgan wrote:
  </pre>
  <blockquote type="cite">
    <pre wrap="">2. 1.3M rows is so small it is hardly worth partitioning. This is a very
small table. I hope
you didn't expend the money for EE just for this.
    </pre>
  </blockquote>
  <pre wrap=""><!---->
That's a bit of a generalistaion. Partitioning can be for performance,
not just administration. 

I work with some similar sized (assuming his rows aren't 4Mb each, why
do people quote table sizes in numbers of rows?) tables that are hit
hundreds of times a day to read about a 10th of all the rows for report
generation, depending on the value of a certain key. Partitioning on
that key drastically reduces scan times, because we don't need to scan
the whole table, but an index wouldn't be selective enough to be worth
using.
  </pre>
</blockquote>
Tables that are ht hundreds of times per day to read about a 10th of
the rows probably <br>
have all of the information cached in memory unless they are very large
tables which is why <br>
my comment.<br>
<pre class="moz-signature" cols="72">-- 
Daniel Morgan
<a class="moz-txt-link-freetext" href="http://www.outreach.washington.edu/ext/certificates/oad/oad_crs.asp">http://www.outreach.washington.edu/ext/certificates/oad/oad_crs.asp</a>
<a class="moz-txt-link-freetext" href="http://www.outreach.washington.edu/ext/certificates/aoa/aoa_crs.asp">http://www.outreach.washington.edu/ext/certificates/aoa/aoa_crs.asp</a>
<a class="moz-txt-link-abbreviated" href="mailto:damorgan@x.washington.edu">damorgan@x.washington.edu</a>
(replace 'x' with a 'u' to reply)</pre>
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