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    <title>topic Re: Can anyone confirm these statements? in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/Can-anyone-confirm-these-statements/m-p/24304#M4072</link>
    <description>A candidate for rule number 1 could be : select/keep only the variables you need</description>
    <pubDate>Wed, 29 Apr 2009 09:22:24 GMT</pubDate>
    <dc:creator>GertNissen</dc:creator>
    <dc:date>2009-04-29T09:22:24Z</dc:date>
    <item>
      <title>Can anyone confirm these statements?</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Can-anyone-confirm-these-statements/m-p/24302#M4070</link>
      <description>2.	Use as much criteria as possible in the selection of rows.  Every addition to the where clause will shrink the resultant rows. &lt;BR /&gt;
&lt;BR /&gt;
3.	Use correlated queries to combine mulitple years.  &lt;BR /&gt;
&lt;BR /&gt;
&lt;BR /&gt;
I am trying to make my code as efficient as possible since I deal with huge datasets, but I'm new and don't really know what works best.</description>
      <pubDate>Tue, 28 Apr 2009 15:38:54 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Can-anyone-confirm-these-statements/m-p/24302#M4070</guid>
      <dc:creator>Marilyn</dc:creator>
      <dc:date>2009-04-28T15:38:54Z</dc:date>
    </item>
    <item>
      <title>Re: Can anyone confirm these statements?</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Can-anyone-confirm-these-statements/m-p/24303#M4071</link>
      <description>Number 1 seems to be missing...?&lt;BR /&gt;
Number 2 is obvious.&lt;BR /&gt;
Number 3 depends on your data and what type of result you are looking for. Need more information (like sample input/output data) to comment on that one.&lt;BR /&gt;
&lt;BR /&gt;
/Linus</description>
      <pubDate>Wed, 29 Apr 2009 06:41:38 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Can-anyone-confirm-these-statements/m-p/24303#M4071</guid>
      <dc:creator>LinusH</dc:creator>
      <dc:date>2009-04-29T06:41:38Z</dc:date>
    </item>
    <item>
      <title>Re: Can anyone confirm these statements?</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Can-anyone-confirm-these-statements/m-p/24304#M4072</link>
      <description>A candidate for rule number 1 could be : select/keep only the variables you need</description>
      <pubDate>Wed, 29 Apr 2009 09:22:24 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Can-anyone-confirm-these-statements/m-p/24304#M4072</guid>
      <dc:creator>GertNissen</dc:creator>
      <dc:date>2009-04-29T09:22:24Z</dc:date>
    </item>
    <item>
      <title>Re: Can anyone confirm these statements?</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Can-anyone-confirm-these-statements/m-p/24305#M4073</link>
      <description>yeah, golden rules &lt;span class="lia-unicode-emoji" title=":winking_face:"&gt;😉&lt;/span&gt;&lt;BR /&gt;
&lt;BR /&gt;
1. Select only the data you really need. So select the needed columns and create a where close who gives you only the relevant data.&lt;BR /&gt;
&lt;BR /&gt;
2. If working on huge data, indexes can be usefull. Too complicated indexes will kill your performance.&lt;BR /&gt;
&lt;BR /&gt;
3. Use the right formats on datasets. $200. isn't usefull to store yes or no. Same idea on numbers, don't store them as text &lt;span class="lia-unicode-emoji" title=":winking_face:"&gt;😉&lt;/span&gt; &lt;BR /&gt;
&lt;BR /&gt;
4. data is stored on other disk than your sas work.&lt;BR /&gt;
&lt;BR /&gt;
5. go on...</description>
      <pubDate>Wed, 29 Apr 2009 09:41:21 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Can-anyone-confirm-these-statements/m-p/24305#M4073</guid>
      <dc:creator>mojerry</dc:creator>
      <dc:date>2009-04-29T09:41:21Z</dc:date>
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