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    <title>topic Re: Lookup table performance question in Splunk Search</title>
    <link>https://community.splunk.com/t5/Splunk-Search/Lookup-table-performance-question/m-p/24606#M4564</link>
    <description>&lt;P&gt;There aren't any absolutes, but:&lt;/P&gt;

&lt;UL&gt;
&lt;LI&gt;if you have a large lookup but only need to reference discrete parts of the lookup in discrete, non-overlapping searches, then it would be fine to break them into several smaller lookups&lt;/LI&gt;
&lt;LI&gt;if you have several lookups and you intend to frequently reference more than one of them at a time (either manually via the search language or automatically via props.conf), you would be best served to combine them in to one larger lookup.&lt;/LI&gt;
&lt;LI&gt;30 MB lookups are not too big by any stretch, but if they change constantly and/or you have a large distributed environment, you might start to experience poor performance without some tuning&lt;/LI&gt;
&lt;LI&gt;when a given lookup table gets rather large (more than a few hundred MB), the best practice is to move to external lookups (usually leveraging a script that queries a database or binary-tree) rather than to split the lookups into several smaller lookups&lt;/LI&gt;
&lt;/UL&gt;</description>
    <pubDate>Wed, 12 Jan 2011 05:17:00 GMT</pubDate>
    <dc:creator>araitz</dc:creator>
    <dc:date>2011-01-12T05:17:00Z</dc:date>
    <item>
      <title>Lookup table performance question</title>
      <link>https://community.splunk.com/t5/Splunk-Search/Lookup-table-performance-question/m-p/24605#M4563</link>
      <description>&lt;P&gt;I am experimenting with some searches that will need to do lookups on some fairly big tables (30 MB or more).  I'm wondering whether it will be faster for Splunk to do a single lookup on a really large table or if I should just chain together several lookups on smaller tables.  And I'm curious how big a table can get before it should be broken down into smaller sequential lookups (if ever).&lt;/P&gt;

&lt;P&gt;Thx.&lt;/P&gt;</description>
      <pubDate>Wed, 12 Jan 2011 00:04:44 GMT</pubDate>
      <guid>https://community.splunk.com/t5/Splunk-Search/Lookup-table-performance-question/m-p/24605#M4563</guid>
      <dc:creator>jambajuice</dc:creator>
      <dc:date>2011-01-12T00:04:44Z</dc:date>
    </item>
    <item>
      <title>Re: Lookup table performance question</title>
      <link>https://community.splunk.com/t5/Splunk-Search/Lookup-table-performance-question/m-p/24606#M4564</link>
      <description>&lt;P&gt;There aren't any absolutes, but:&lt;/P&gt;

&lt;UL&gt;
&lt;LI&gt;if you have a large lookup but only need to reference discrete parts of the lookup in discrete, non-overlapping searches, then it would be fine to break them into several smaller lookups&lt;/LI&gt;
&lt;LI&gt;if you have several lookups and you intend to frequently reference more than one of them at a time (either manually via the search language or automatically via props.conf), you would be best served to combine them in to one larger lookup.&lt;/LI&gt;
&lt;LI&gt;30 MB lookups are not too big by any stretch, but if they change constantly and/or you have a large distributed environment, you might start to experience poor performance without some tuning&lt;/LI&gt;
&lt;LI&gt;when a given lookup table gets rather large (more than a few hundred MB), the best practice is to move to external lookups (usually leveraging a script that queries a database or binary-tree) rather than to split the lookups into several smaller lookups&lt;/LI&gt;
&lt;/UL&gt;</description>
      <pubDate>Wed, 12 Jan 2011 05:17:00 GMT</pubDate>
      <guid>https://community.splunk.com/t5/Splunk-Search/Lookup-table-performance-question/m-p/24606#M4564</guid>
      <dc:creator>araitz</dc:creator>
      <dc:date>2011-01-12T05:17:00Z</dc:date>
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