2002-12-04 00:46:43 -05:00
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2004-03-04 09:41:28 -05:00
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Copyright 1999-2004 The Apache Software Foundation
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you may not use this file except in compliance with the License.
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2002-12-04 00:46:43 -05:00
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<!-- ====================================================================== -->
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2002-12-12 01:23:48 -05:00
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<!-- GENERATED FILE, DO NOT EDIT, EDIT THE XML FILE IN xdocs INSTEAD! -->
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2002-12-04 00:46:43 -05:00
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<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1"/>
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<meta name="author" value="Kelvin Tan">
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<meta name="email" value="kelvint@apache.org">
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2003-01-04 11:29:08 -05:00
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2005-02-14 11:48:47 -05:00
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<title>Apache Lucene - Resources - Performance Benchmarks</title>
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2002-12-04 00:46:43 -05:00
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</head>
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<body bgcolor="#ffffff" text="#000000" link="#525D76">
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<!-- TOP IMAGE -->
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<tr>
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<td align="left">
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2005-05-02 14:50:45 -04:00
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<a href="http://www.apache.org"><img src="http://lucene.apache.org/java/docs/images/asf-logo.gif" width="387" height="100" border="0"/></a>
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</td>
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<td align="right">
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2005-02-14 11:48:47 -05:00
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<a href="http://lucene.apache.org/"><img src="./images/lucene_green_300.gif" alt="Apache Lucene" border="0"/></a>
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</td>
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</tr>
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</table>
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<table border="0" width="100%" cellspacing="4">
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<hr noshade="" size="1"/>
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<!-- LEFT SIDE NAVIGATION -->
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<td width="20%" valign="top" nowrap="true">
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2003-10-09 10:40:30 -04:00
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<!-- ============================================================ -->
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<p><strong>About</strong></p>
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<ul>
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<li> <a href="./index.html">Overview</a>
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2005-05-14 19:05:04 -04:00
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</li>
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<li> <a href="./features.html">Features</a>
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</li>
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2004-05-18 09:32:01 -04:00
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<li> <a href="http://wiki.apache.org/jakarta-lucene/PoweredBy">Powered by Lucene</a>
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</li>
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<li> <a href="./whoweare.html">Who We Are</a>
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</li>
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2005-03-26 07:58:35 -05:00
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<li> <a href="./mailinglists.html">Mailing Lists</a>
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2002-12-04 00:46:43 -05:00
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</li>
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</ul>
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<p><strong>Resources</strong></p>
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<ul>
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2004-02-28 21:43:36 -05:00
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<li> <a href="http://wiki.apache.org/jakarta-lucene">Wiki</a>
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</li>
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2004-12-30 16:50:43 -05:00
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<li> <a href="http://wiki.apache.org/jakarta-lucene/LuceneFAQ">FAQ</a>
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2002-12-04 00:46:43 -05:00
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</li>
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<li> <a href="./gettingstarted.html">Getting Started</a>
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</li>
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<li> <a href="./queryparsersyntax.html">Query Syntax</a>
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</li>
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<li> <a href="./fileformats.html">File Formats</a>
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</li>
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<li> <a href="./api/index.html">Javadoc</a>
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</li>
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<li> <a href="./contributions.html">Contributions</a>
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2002-12-04 00:56:33 -05:00
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</li>
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<li> <a href="./benchmarks.html">Benchmarks</a>
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</li>
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2005-09-21 06:41:16 -04:00
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<li> <a href="http://issues.apache.org/jira/browse/LUCENE">Issue Tracker</a>
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2002-12-04 00:56:33 -05:00
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</li>
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<li> <a href="./lucene-sandbox/">Lucene Sandbox</a>
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2002-12-04 00:46:43 -05:00
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</li>
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</ul>
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<p><strong>Download</strong></p>
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<ul>
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2006-02-21 11:31:28 -05:00
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<li> <a href="http://www.apache.org/dyn/closer.cgi/lucene/java/">Releases</a>
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</li>
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2006-02-21 11:31:28 -05:00
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<li> <a href="http://svn.apache.org/viewcvs.cgi/lucene/java/">Source Repository</a>
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</li>
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</ul>
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</td>
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<td width="80%" align="left" valign="top">
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<table border="0" cellspacing="0" cellpadding="2" width="100%">
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<tr><td bgcolor="#525D76">
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<font color="#ffffff" face="arial,helvetica,sanserif">
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<a name="Performance Benchmarks"><strong>Performance Benchmarks</strong></a>
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</font>
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</td></tr>
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<tr><td>
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<blockquote>
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<p>
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2002-12-12 01:23:48 -05:00
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The purpose of these user-submitted performance figures is to
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give current and potential users of Lucene a sense
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of how well Lucene scales. If the requirements for an upcoming
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project is similar to an existing benchmark, you
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will also have something to work with when designing the system
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architecture for the application.
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</p>
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<p>
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2002-12-12 01:23:48 -05:00
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If you've conducted performance tests with Lucene, we'd
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appreciate if you can submit these figures for display
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on this page. Post these figures to the lucene-user mailing list
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using this
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<a href="benchmarktemplate.xml">template</a>.
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</p>
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2002-12-04 00:46:43 -05:00
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</blockquote>
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</p>
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</td></tr>
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<tr><td><br/></td></tr>
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</table>
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<table border="0" cellspacing="0" cellpadding="2" width="100%">
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<tr><td bgcolor="#525D76">
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<font color="#ffffff" face="arial,helvetica,sanserif">
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<a name="Benchmark Variables"><strong>Benchmark Variables</strong></a>
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</font>
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</td></tr>
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<tr><td>
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<blockquote>
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<p>
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2002-12-12 01:23:48 -05:00
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<ul>
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<p>
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<b>Hardware Environment</b><br />
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<li><i>Dedicated machine for indexing</i>: Self-explanatory
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(yes/no)</li>
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<li><i>CPU</i>: Self-explanatory (Type, Speed and Quantity)</li>
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<li><i>RAM</i>: Self-explanatory</li>
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<li><i>Drive configuration</i>: Self-explanatory (IDE, SCSI,
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RAID-1, RAID-5)</li>
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</p>
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<p>
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<b>Software environment</b><br />
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<li><i>Lucene Version</i>: Self-explanatory</li>
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<li><i>Java Version</i>: Version of Java SDK/JRE that is run
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</li>
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<li><i>Java VM</i>: Server/client VM, Sun VM/JRockIt</li>
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<li><i>OS Version</i>: Self-explanatory</li>
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<li><i>Location of index</i>: Is the index stored in filesystem
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or database? Is it on the same server(local) or
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over the network?</li>
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</p>
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<p>
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<b>Lucene indexing variables</b><br />
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<li><i>Number of source documents</i>: Number of documents being
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indexed</li>
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<li><i>Total filesize of source documents</i>:
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Self-explanatory</li>
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<li><i>Average filesize of source documents</i>:
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Self-explanatory</li>
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<li><i>Source documents storage location</i>: Where are the
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documents being indexed located?
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Filesystem, DB, http, etc.</li>
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<li><i>File type of source documents</i>: Types of files being
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indexed, e.g. HTML files, XML files, PDF files, etc.</li>
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<li><i>Parser(s) used, if any</i>: Parsers used for parsing the
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various files for indexing,
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e.g. XML parser, HTML parser, etc.</li>
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<li><i>Analyzer(s) used</i>: Type of Lucene analyzer used</li>
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<li><i>Number of fields per document</i>: Number of Fields each
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Document contains</li>
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<li><i>Type of fields</i>: Type of each field</li>
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<li><i>Index persistence</i>: Where the index is stored, e.g.
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FSDirectory, SqlDirectory, etc.</li>
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</p>
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<p>
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<b>Figures</b><br />
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<li><i>Time taken (in ms/s as an average of at least 3 indexing
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runs)</i>: Time taken to index all files</li>
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<li><i>Time taken / 1000 docs indexed</i>: Time taken to index
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1000 files</li>
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<li><i>Memory consumption</i>: Self-explanatory</li>
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<li><i>Query speed</i>: average time a query takes, type
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of queries (e.g. simple one-term query, phrase query),
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not measuring any overhead outside Lucene</li>
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</p>
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<p>
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<b>Notes</b><br />
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<li><i>Notes</i>: Any comments which don't belong in the above,
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special tuning/strategies, etc.</li>
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</p>
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</ul>
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</p>
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2002-12-04 00:46:43 -05:00
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</blockquote>
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</p>
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</td></tr>
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<tr><td><br/></td></tr>
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</table>
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<table border="0" cellspacing="0" cellpadding="2" width="100%">
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<tr><td bgcolor="#525D76">
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<font color="#ffffff" face="arial,helvetica,sanserif">
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<a name="User-submitted Benchmarks"><strong>User-submitted Benchmarks</strong></a>
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</font>
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</td></tr>
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<tr><td>
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<blockquote>
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<p>
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2002-12-12 01:23:48 -05:00
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These benchmarks have been kindly submitted by Lucene users for
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reference purposes.
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</p>
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<p><b>We make NO guarantees regarding their accuracy or
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validity.</b>
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</p>
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<p>We strongly recommend you conduct your own
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performance benchmarks before deciding on a particular
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hardware/software setup (and hopefully submit
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these figures to us).
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</p>
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2002-12-04 00:46:43 -05:00
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<table border="0" cellspacing="0" cellpadding="2" width="100%">
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<tr><td bgcolor="#828DA6">
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<font color="#ffffff" face="arial,helvetica,sanserif">
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<a name="Hamish Carpenter's benchmarks"><strong>Hamish Carpenter's benchmarks</strong></a>
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</font>
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</td></tr>
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<tr><td>
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<blockquote>
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<ul>
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2002-12-12 01:23:48 -05:00
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<p>
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<b>Hardware Environment</b><br />
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<li><i>Dedicated machine for indexing</i>: yes</li>
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<li><i>CPU</i>: Intel x86 P4 1.5Ghz</li>
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<li><i>RAM</i>: 512 DDR</li>
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<li><i>Drive configuration</i>: IDE 7200rpm Raid-1</li>
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</p>
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<p>
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<b>Software environment</b><br />
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<li><i>Lucene Version</i>: 1.3</li>
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<li><i>Java Version</i>: 1.3.1 IBM JITC Enabled</li>
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<li><i>Java VM</i>: </li>
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<li><i>OS Version</i>: Debian Linux 2.4.18-686</li>
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<li><i>Location of index</i>: local</li>
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</p>
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<p>
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<b>Lucene indexing variables</b><br />
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<li><i>Number of source documents</i>: Random generator. Set
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to make 1M documents
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in 2x500,000 batches.</li>
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<li><i>Total filesize of source documents</i>: > 1GB if
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stored</li>
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<li><i>Average filesize of source documents</i>: 1KB</li>
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<li><i>Source documents storage location</i>: Filesystem</li>
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<li><i>File type of source documents</i>: Generated</li>
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<li><i>Parser(s) used, if any</i>: </li>
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<li><i>Analyzer(s) used</i>: Default</li>
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<li><i>Number of fields per document</i>: 11</li>
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<li><i>Type of fields</i>: 1 date, 1 id, 9 text</li>
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<li><i>Index persistence</i>: FSDirectory</li>
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</p>
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<p>
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<b>Figures</b><br />
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<li><i>Time taken (in ms/s as an average of at least 3
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indexing runs)</i>: </li>
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<li><i>Time taken / 1000 docs indexed</i>: 49 seconds</li>
|
|
|
|
|
<li><i>Memory consumption</i>:</li>
|
|
|
|
|
</p>
|
|
|
|
|
<p>
|
|
|
|
|
<b>Notes</b><br />
|
|
|
|
|
<p>
|
|
|
|
|
A windows client ran a random document generator which
|
|
|
|
|
created
|
|
|
|
|
documents based on some arrays of values and an excerpt
|
|
|
|
|
(approx 1kb)
|
|
|
|
|
from a text file of the bible (King James version).<br />
|
|
|
|
|
These were submitted via a socket connection (open throughout
|
|
|
|
|
indexing process).<br />
|
|
|
|
|
The index writer was not closed between index calls.<br />
|
|
|
|
|
This created a 400Mb index in 23 files (after
|
|
|
|
|
optimization).<br />
|
|
|
|
|
</p>
|
|
|
|
|
<p>
|
|
|
|
|
<u>Query details</u>:<br />
|
|
|
|
|
</p>
|
|
|
|
|
<p>
|
|
|
|
|
Set up a threaded class to start x number of simultaneous
|
|
|
|
|
threads to
|
|
|
|
|
search the above created index.
|
|
|
|
|
</p>
|
|
|
|
|
<p>
|
|
|
|
|
Query: +Domain:sos +(+((Name:goo*^2.0 Name:plan*^2.0)
|
|
|
|
|
(Teaser:goo* Tea
|
|
|
|
|
ser:plan*) (Details:goo* Details:plan*)) -Cancel:y)
|
|
|
|
|
+DisplayStartDate:[mkwsw2jk0
|
|
|
|
|
-mq3dj1uq0] +EndDate:[mq3dj1uq0-ntlxuggw0]
|
|
|
|
|
</p>
|
|
|
|
|
<p>
|
|
|
|
|
This query counted 34000 documents and I limited the returned
|
|
|
|
|
documents
|
|
|
|
|
to 5.
|
|
|
|
|
</p>
|
|
|
|
|
<p>
|
|
|
|
|
This is using Peter Halacsy's IndexSearcherCache slightly
|
|
|
|
|
modified to
|
|
|
|
|
be a singleton returned cached searchers for a given
|
|
|
|
|
directory. This
|
|
|
|
|
solved an initial problem with too many files open and
|
|
|
|
|
running out of
|
|
|
|
|
linux handles for them.
|
|
|
|
|
</p>
|
|
|
|
|
<pre>
|
|
|
|
|
Threads|Avg Time per query (ms)
|
|
|
|
|
1 1009ms
|
|
|
|
|
2 2043ms
|
|
|
|
|
3 3087ms
|
|
|
|
|
4 4045ms
|
|
|
|
|
.. .
|
|
|
|
|
.. .
|
|
|
|
|
10 10091ms
|
|
|
|
|
</pre>
|
|
|
|
|
<p>
|
|
|
|
|
I removed the two date range terms from the query and it made
|
|
|
|
|
a HUGE
|
|
|
|
|
difference in performance. With 4 threads the avg time
|
|
|
|
|
dropped to 900ms!
|
|
|
|
|
</p>
|
2004-01-26 13:23:55 -05:00
|
|
|
<p>Other query optimizations made little difference.</p>
|
2002-12-12 01:23:48 -05:00
|
|
|
</p>
|
|
|
|
|
</ul>
|
2002-12-04 00:46:43 -05:00
|
|
|
<p>
|
2002-12-12 01:23:48 -05:00
|
|
|
Hamish can be contacted at hamish at catalyst.net.nz.
|
|
|
|
|
</p>
|
2002-12-04 00:46:43 -05:00
|
|
|
</blockquote>
|
|
|
|
|
</td></tr>
|
|
|
|
|
<tr><td><br/></td></tr>
|
|
|
|
|
</table>
|
|
|
|
|
<table border="0" cellspacing="0" cellpadding="2" width="100%">
|
|
|
|
|
<tr><td bgcolor="#828DA6">
|
|
|
|
|
<font color="#ffffff" face="arial,helvetica,sanserif">
|
|
|
|
|
<a name="Justin Greene's benchmarks"><strong>Justin Greene's benchmarks</strong></a>
|
|
|
|
|
</font>
|
|
|
|
|
</td></tr>
|
|
|
|
|
<tr><td>
|
|
|
|
|
<blockquote>
|
|
|
|
|
<ul>
|
2002-12-12 01:23:48 -05:00
|
|
|
<p>
|
|
|
|
|
<b>Hardware Environment</b><br />
|
|
|
|
|
<li><i>Dedicated machine for indexing</i>: No, but nominal
|
|
|
|
|
usage at time of indexing.</li>
|
|
|
|
|
<li><i>CPU</i>: Compaq Proliant 1850R/600 2 X pIII 600</li>
|
|
|
|
|
<li><i>RAM</i>: 1GB, 256MB allocated to JVM.</li>
|
|
|
|
|
<li><i>Drive configuration</i>: RAID 5 on Fibre Channel
|
|
|
|
|
Array</li>
|
|
|
|
|
</p>
|
|
|
|
|
<p>
|
|
|
|
|
<b>Software environment</b><br />
|
|
|
|
|
<li><i>Java Version</i>: 1.3.1_06</li>
|
|
|
|
|
<li><i>Java VM</i>: </li>
|
|
|
|
|
<li><i>OS Version</i>: Winnt 4/Sp6</li>
|
|
|
|
|
<li><i>Location of index</i>: local</li>
|
|
|
|
|
</p>
|
|
|
|
|
<p>
|
|
|
|
|
<b>Lucene indexing variables</b><br />
|
|
|
|
|
<li><i>Number of source documents</i>: about 60K</li>
|
|
|
|
|
<li><i>Total filesize of source documents</i>: 6.5GB</li>
|
|
|
|
|
<li><i>Average filesize of source documents</i>: 100K
|
|
|
|
|
(6.5GB/60K documents)</li>
|
|
|
|
|
<li><i>Source documents storage location</i>: filesystem on
|
|
|
|
|
NTFS</li>
|
|
|
|
|
<li><i>File type of source documents</i>: </li>
|
|
|
|
|
<li><i>Parser(s) used, if any</i>: Currently the only parser
|
|
|
|
|
used is the Quiotix html
|
|
|
|
|
parser.</li>
|
|
|
|
|
<li><i>Analyzer(s) used</i>: SimpleAnalyzer</li>
|
|
|
|
|
<li><i>Number of fields per document</i>: 8</li>
|
|
|
|
|
<li><i>Type of fields</i>: All strings, and all are stored
|
|
|
|
|
and indexed.</li>
|
|
|
|
|
<li><i>Index persistence</i>: FSDirectory</li>
|
|
|
|
|
</p>
|
|
|
|
|
<p>
|
|
|
|
|
<b>Figures</b><br />
|
|
|
|
|
<li><i>Time taken (in ms/s as an average of at least 3
|
|
|
|
|
indexing runs)</i>: 1 hour 12 minutes, 1 hour 14 minutes and 1 hour 17
|
|
|
|
|
minutes. Note that the #
|
|
|
|
|
and size of documents changes daily.</li>
|
|
|
|
|
<li><i>Time taken / 1000 docs indexed</i>: </li>
|
|
|
|
|
<li><i>Memory consumption</i>: JVM is given 256MB and uses it
|
|
|
|
|
all.</li>
|
|
|
|
|
</p>
|
|
|
|
|
<p>
|
|
|
|
|
<b>Notes</b><br />
|
|
|
|
|
<p>
|
|
|
|
|
We have 10 threads reading files from the filesystem and
|
|
|
|
|
parsing and
|
|
|
|
|
analyzing them and the pushing them onto a queue and a single
|
|
|
|
|
thread poping
|
|
|
|
|
them from the queue and indexing. Note that we are indexing
|
|
|
|
|
email messages
|
|
|
|
|
and are storing the entire plaintext in of the message in the
|
|
|
|
|
index. If the
|
|
|
|
|
message contains attachment and we do not have a filter for
|
|
|
|
|
the attachment
|
|
|
|
|
(ie. we do not do PDFs yet), we discard the data.
|
2004-01-26 13:23:55 -05:00
|
|
|
</p>
|
2002-12-12 01:23:48 -05:00
|
|
|
</p>
|
|
|
|
|
</ul>
|
|
|
|
|
<p>
|
|
|
|
|
Justin can be contacted at tvxh-lw4x at spamex.com.
|
|
|
|
|
</p>
|
|
|
|
|
</blockquote>
|
|
|
|
|
</td></tr>
|
|
|
|
|
<tr><td><br/></td></tr>
|
|
|
|
|
</table>
|
|
|
|
|
<table border="0" cellspacing="0" cellpadding="2" width="100%">
|
|
|
|
|
<tr><td bgcolor="#828DA6">
|
|
|
|
|
<font color="#ffffff" face="arial,helvetica,sanserif">
|
|
|
|
|
<a name="Daniel Armbrust's benchmarks"><strong>Daniel Armbrust's benchmarks</strong></a>
|
|
|
|
|
</font>
|
|
|
|
|
</td></tr>
|
|
|
|
|
<tr><td>
|
|
|
|
|
<blockquote>
|
|
|
|
|
<p>
|
|
|
|
|
My disclaimer is that this is a very poor "Benchmark". It was not done for raw speed,
|
|
|
|
|
nor was the total index built in one shot. The index was created on several different
|
|
|
|
|
machines (all with these specs, or very similar), with each machine indexing batches of 500,000 to
|
|
|
|
|
1 million documents per batch. Each of these small indexes was then moved to a
|
|
|
|
|
much larger drive, where they were all merged together into a big index.
|
|
|
|
|
This process was done manually, over the course of several months, as the sources became available.
|
|
|
|
|
</p>
|
|
|
|
|
<ul>
|
|
|
|
|
<p>
|
|
|
|
|
<b>Hardware Environment</b><br />
|
|
|
|
|
<li><i>Dedicated machine for indexing</i>: no - The machine had moderate to low load. However, the indexing process was built single
|
|
|
|
|
threaded, so it only took advantage of 1 of the processors. It usually got 100% of this processor.</li>
|
|
|
|
|
<li><i>CPU</i>: Sun Ultra 80 4 x 64 bit processors</li>
|
|
|
|
|
<li><i>RAM</i>: 4 GB Memory</li>
|
|
|
|
|
<li><i>Drive configuration</i>: Ultra-SCSI Wide 10000 RPM 36GB Drive</li>
|
|
|
|
|
</p>
|
|
|
|
|
<p>
|
|
|
|
|
<b>Software environment</b><br />
|
2004-09-13 17:12:35 -04:00
|
|
|
<li><i>Lucene Version</i>: 1.2</li>
|
2002-12-12 01:23:48 -05:00
|
|
|
<li><i>Java Version</i>: 1.3.1</li>
|
|
|
|
|
<li><i>Java VM</i>: </li>
|
|
|
|
|
<li><i>OS Version</i>: Sun 5.8 (64 bit)</li>
|
|
|
|
|
<li><i>Location of index</i>: local</li>
|
|
|
|
|
</p>
|
|
|
|
|
<p>
|
|
|
|
|
<b>Lucene indexing variables</b><br />
|
|
|
|
|
<li><i>Number of source documents</i>: 13,820,517</li>
|
|
|
|
|
<li><i>Total filesize of source documents</i>: 87.3 GB</li>
|
|
|
|
|
<li><i>Average filesize of source documents</i>: 6.3 KB</li>
|
|
|
|
|
<li><i>Source documents storage location</i>: Filesystem</li>
|
|
|
|
|
<li><i>File type of source documents</i>: XML</li>
|
|
|
|
|
<li><i>Parser(s) used, if any</i>: </li>
|
|
|
|
|
<li><i>Analyzer(s) used</i>: A home grown analyzer that simply removes stopwords.</li>
|
|
|
|
|
<li><i>Number of fields per document</i>: 1 - 31</li>
|
|
|
|
|
<li><i>Type of fields</i>: All text, though 2 of them are dates (20001205) that we filter on</li>
|
|
|
|
|
<li><i>Index persistence</i>: FSDirectory</li>
|
|
|
|
|
<li><i>Index size</i>: 12.5 GB</li>
|
|
|
|
|
</p>
|
|
|
|
|
<p>
|
|
|
|
|
<b>Figures</b><br />
|
|
|
|
|
<li><i>Time taken (in ms/s as an average of at least 3
|
|
|
|
|
indexing runs)</i>: For 617271 documents, 209698 seconds (or ~2.5 days)</li>
|
|
|
|
|
<li><i>Time taken / 1000 docs indexed</i>: 340 Seconds</li>
|
|
|
|
|
<li><i>Memory consumption</i>: (java executed with) java -Xmx1000m -Xss8192k so
|
|
|
|
|
1 GB of memory was allotted to the indexer</li>
|
|
|
|
|
</p>
|
|
|
|
|
<p>
|
|
|
|
|
<b>Notes</b><br />
|
|
|
|
|
<p>
|
|
|
|
|
The source documents were XML. The "indexer" opened each document one at a time, ran an
|
|
|
|
|
XSL transformation on them, and then proceeded to index the stream. The indexer optimized
|
|
|
|
|
the index every 50,000 documents (on this run) though previously, we optimized every
|
|
|
|
|
300,000 documents. The performance didn't change much either way. We did no other
|
2004-09-12 07:36:59 -04:00
|
|
|
tuning (RAM Directories, separate process to pretransform the source material, etc.)
|
2002-12-12 01:23:48 -05:00
|
|
|
to make it index faster. When all of these individual indexes were built, they were
|
|
|
|
|
merged together into the main index. That process usually took ~ a day.
|
2004-01-26 13:23:55 -05:00
|
|
|
</p>
|
2002-12-12 01:23:48 -05:00
|
|
|
</p>
|
|
|
|
|
</ul>
|
2002-12-04 00:46:43 -05:00
|
|
|
<p>
|
2002-12-12 01:23:48 -05:00
|
|
|
Daniel can be contacted at Armbrust.Daniel at mayo.edu.
|
|
|
|
|
</p>
|
2002-12-04 00:46:43 -05:00
|
|
|
</blockquote>
|
|
|
|
|
</td></tr>
|
|
|
|
|
<tr><td><br/></td></tr>
|
2004-01-26 13:23:55 -05:00
|
|
|
</table>
|
|
|
|
|
<table border="0" cellspacing="0" cellpadding="2" width="100%">
|
|
|
|
|
<tr><td bgcolor="#828DA6">
|
|
|
|
|
<font color="#ffffff" face="arial,helvetica,sanserif">
|
|
|
|
|
<a name="Geoffrey Peddle's benchmarks"><strong>Geoffrey Peddle's benchmarks</strong></a>
|
|
|
|
|
</font>
|
|
|
|
|
</td></tr>
|
|
|
|
|
<tr><td>
|
|
|
|
|
<blockquote>
|
|
|
|
|
<p>
|
|
|
|
|
I'm doing a technical evaluation of search engines
|
|
|
|
|
for Ariba, an enterprise application software company.
|
|
|
|
|
I compared Lucene to a commercial C language based
|
|
|
|
|
search engine which I'll refer to as vendor A.
|
|
|
|
|
Overall Lucene's performance was similar to vendor A
|
|
|
|
|
and met our application's requirements. I've
|
|
|
|
|
summarized our results below.
|
|
|
|
|
</p>
|
|
|
|
|
<p>
|
|
|
|
|
Search scalability:<br />
|
|
|
|
|
We ran a set of 16 queries in a single thread for 20
|
|
|
|
|
iterations. We report below the times for the last 15
|
|
|
|
|
iterations (ie after the system was warmed up). The
|
|
|
|
|
4 sets of results below are for indexes with between
|
|
|
|
|
50,000 documents to 600,000 documents. Although the
|
|
|
|
|
times for Lucene grew faster with document count than
|
|
|
|
|
vendor A they were comparable.
|
|
|
|
|
</p>
|
|
|
|
|
<pre>
|
|
|
|
|
50K documents
|
|
|
|
|
Lucene 5.2 seconds
|
|
|
|
|
A 7.2
|
|
|
|
|
200K
|
|
|
|
|
Lucene 15.3
|
|
|
|
|
A 15.2
|
|
|
|
|
400K
|
|
|
|
|
Lucene 28.2
|
|
|
|
|
A 25.5
|
|
|
|
|
600K
|
|
|
|
|
Lucene 41
|
|
|
|
|
A 33
|
|
|
|
|
</pre>
|
|
|
|
|
<p>
|
|
|
|
|
Individual Query times:<br />
|
|
|
|
|
Total query times are very similar between the 2
|
|
|
|
|
systems but there were larger differences when you
|
|
|
|
|
looked at individual queries.
|
|
|
|
|
</p>
|
|
|
|
|
<p>
|
|
|
|
|
For simple queries with small result sets Vendor A was
|
|
|
|
|
consistently faster than Lucene. For example a
|
|
|
|
|
single query might take vendor A 32 thousands of a
|
|
|
|
|
second and Lucene 64 thousands of a second. Both
|
|
|
|
|
times are however well within acceptable response
|
|
|
|
|
times for our application.
|
|
|
|
|
</p>
|
|
|
|
|
<p>
|
|
|
|
|
For simple queries with large result sets Vendor A was
|
|
|
|
|
consistently slower than Lucene. For example a
|
|
|
|
|
single query might take vendor A 300 thousands of a
|
|
|
|
|
second and Lucene 200 thousands of a second.
|
|
|
|
|
For more complex queries of the form (term1 or term2
|
|
|
|
|
or term3) AND (term4 or term5 or term6) AND (term7 or
|
|
|
|
|
term8) the results were more divergent. For
|
|
|
|
|
queries with small result sets Vendor A generally had
|
|
|
|
|
very short response times and sometimes Lucene had
|
|
|
|
|
significantly larger response times. For example
|
|
|
|
|
Vendor A might take 16 thousands of a second and
|
|
|
|
|
Lucene might take 156. I do not consider it to be
|
|
|
|
|
the case that Lucene's response time grew unexpectedly
|
|
|
|
|
but rather that Vendor A appeared to be taking
|
|
|
|
|
advantage of an optimization which Lucene didn't have.
|
|
|
|
|
(I believe there's been discussions on the dev
|
|
|
|
|
mailing list on complex queries of this sort.)
|
|
|
|
|
</p>
|
|
|
|
|
<p>
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Index Size:<br />
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For our test data the size of both indexes grew
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linearly with the number of documents. Note that
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these sizes are compact sizes, not maximum size during
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index loading. The numbers below are from running du
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-k in the directory containing the index data. The
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larger number's below for Vendor A may be because it
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supports additional functionality not available in
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Lucene. I think it's the constant rate of growth
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rather than the absolute amount which is more
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important.
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</p>
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<pre>
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50K documents
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Lucene 45516 K
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A 63921
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200K
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Lucene 171565
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A 228370
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400K
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Lucene 345717
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A 457843
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600K
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Lucene 511338
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A 684913
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</pre>
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<p>
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Indexing Times:<br />
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These times are for reading the documents from our
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database, processing them, inserting them into the
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document search product and index compacting. Our
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data has a large number of fields/attributes. For
|
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this test I restricted Lucene to 24 attributes to
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reduce the number of files created. Doing this I was
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able to specify a merge width for Lucene of 60. I
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found in general that Lucene indexing performance to
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be very sensitive to changes in the merge width.
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Note also that our application does a full compaction
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after inserting every 20,000 documents. These times
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are just within our acceptable limits but we are
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interested in alternatives to increase Lucene's
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performance in this area.
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</p>
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<p>
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<pre>
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|
600K documents
|
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|
Lucene 81 minutes
|
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|
A 34 minutes
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</pre>
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</p>
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<p>
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(I don't have accurate results for all sizes on this
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measure but believe that the indexing time for both
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solutions grew essentially linearly with size. The
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time to compact the index generally grew with index
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size but it's a small percent of overall time at these
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sizes.)
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</p>
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<ul>
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<p>
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|
<b>Hardware Environment</b><br />
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<li><i>Dedicated machine for indexing</i>: yes</li>
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<li><i>CPU</i>: Dell Pentium 4 CPU 2.00Ghz, 1cpu</li>
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<li><i>RAM</i>: 1 GB Memory</li>
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<li><i>Drive configuration</i>: Fujitsu MAM3367MP SCSI </li>
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|
</p>
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<p>
|
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|
|
<b>Software environment</b><br />
|
|
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|
|
<li><i>Java Version</i>: 1.4.2_02</li>
|
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|
|
<li><i>Java VM</i>: JDK</li>
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|
<li><i>OS Version</i>: Windows XP </li>
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|
<li><i>Location of index</i>: local</li>
|
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|
</p>
|
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|
<p>
|
|
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|
|
<b>Lucene indexing variables</b><br />
|
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|
|
<li><i>Number of source documents</i>: 600,000</li>
|
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|
|
<li><i>Total filesize of source documents</i>: from database</li>
|
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|
|
<li><i>Average filesize of source documents</i>: from database</li>
|
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|
<li><i>Source documents storage location</i>: from database</li>
|
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|
<li><i>File type of source documents</i>: XML</li>
|
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|
<li><i>Parser(s) used, if any</i>: </li>
|
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|
|
|
<li><i>Analyzer(s) used</i>: small variation on WhitespaceAnalyzer</li>
|
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|
|
<li><i>Number of fields per document</i>: 24</li>
|
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|
<li><i>Type of fields</i>: A1 keyword, 1 big unindexed, rest are unstored and a mix of tokenized/untokenized</li>
|
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|
<li><i>Index persistence</i>: FSDirectory</li>
|
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|
<li><i>Index size</i>: 12.5 GB</li>
|
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|
|
|
</p>
|
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|
|
<p>
|
|
|
|
|
<b>Figures</b><br />
|
|
|
|
|
<li><i>Time taken (in ms/s as an average of at least 3
|
|
|
|
|
indexing runs)</i>: 600,000 documents in 81 minutes (du -k = 511338)</li>
|
|
|
|
|
<li><i>Time taken / 1000 docs indexed</i>: 123 documents/second</li>
|
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|
|
<li><i>Memory consumption</i>: -ms256m -mx512m -Xss4m -XX:MaxPermSize=512M</li>
|
|
|
|
|
</p>
|
|
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|
|
<p>
|
|
|
|
|
<b>Notes</b><br />
|
|
|
|
|
<p>
|
|
|
|
|
<li>merge width of 60</li>
|
|
|
|
|
<li>did a compact every 20,000 documents</li>
|
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|
|
</p>
|
|
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|
</p>
|
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|
</ul>
|
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|
|
</blockquote>
|
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</td></tr>
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<tr><td><br/></td></tr>
|
2002-12-04 00:46:43 -05:00
|
|
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</table>
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</blockquote>
|
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|
</p>
|
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</td></tr>
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<tr><td><br/></td></tr>
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</table>
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</td>
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</tr>
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<!-- FOOTER -->
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<tr><td colspan="2">
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<hr noshade="" size="1"/>
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</td></tr>
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<tr><td colspan="2">
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<div align="center"><font color="#525D76" size="-1"><em>
|
2005-01-18 08:57:32 -05:00
|
|
|
Copyright © 1999-2005, The Apache Software Foundation
|
2002-12-04 00:46:43 -05:00
|
|
|
</em></font></div>
|
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</td></tr>
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</table>
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</body>
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</html>
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<!-- end the processing -->
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