mirror of https://github.com/apache/lucene.git
- User-submitted benchmarks and a template.
Submitted by: Kelvin Tan Reviewed by: otis git-svn-id: https://svn.apache.org/repos/asf/lucene/java/trunk@149899 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Otis Gospodnetic
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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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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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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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</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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<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>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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</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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</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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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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<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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<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>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>
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<li><i>Memory consumption</i>:</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>:
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<p>
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A windows client ran a random document generator which
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created
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documents based on some arrays of values and an excerpt
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(approx 1kb)
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from a text file of the bible (King James version).<br />
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These were submitted via a socket connection (open throughout
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indexing process).<br />
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The index writer was not closed between index calls.<br />
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This created a 400Mb index in 23 files (after
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optimization).<br />
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</p>
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<p>
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<u>Query details</u>:<br />
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</p>
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<p>
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Set up a threaded class to start x number of simultaneous
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threads to
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search the above created index.
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</p>
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<p>
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Query: +Domain:sos +(+((Name:goo*^2.0 Name:plan*^2.0)
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|
(Teaser:goo* Tea
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|
ser:plan*) (Details:goo* Details:plan*)) -Cancel:y)
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+DisplayStartDate:[mkwsw2jk0
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-mq3dj1uq0] +EndDate:[mq3dj1uq0-ntlxuggw0]
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</p>
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<p>
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This query counted 34000 documents and I limited the returned
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documents
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to 5.
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</p>
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<p>
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This is using Peter Halacsy's IndexSearcherCache slightly
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modified to
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be a singleton returned cached searchers for a given
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directory. This
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solved an initial problem with too many files open and
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running out of
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linux handles for them.
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</p>
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<pre>
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Threads|Avg Time per query (ms)
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1 1009ms
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2 2043ms
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3 3087ms
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4 4045ms
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|
.. .
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.. .
|
||||||
|
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>
|
||||||
|
<p>Other query optimizations made little difference.</p></li>
|
||||||
|
</p>
|
||||||
|
</ul>
|
||||||
|
<p>
|
||||||
|
Hamish can be contacted at hamish at catalyst.net.nz.
|
||||||
|
</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="Justin Greene's benchmarks"><strong>Justin Greene's benchmarks</strong></a>
|
||||||
|
</font>
|
||||||
|
</td></tr>
|
||||||
|
<tr><td>
|
||||||
|
<blockquote>
|
||||||
|
<ul>
|
||||||
|
<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 />
|
||||||
|
<li><i>Notes</i>:
|
||||||
|
<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.
|
||||||
|
</p></li>
|
||||||
|
</p>
|
||||||
|
</ul>
|
||||||
|
<p>
|
||||||
|
Justin can be contacted at tvxh-lw4x at spamex.com.
|
||||||
|
</p>
|
||||||
|
</blockquote>
|
||||||
|
</td></tr>
|
||||||
|
<tr><td><br/></td></tr>
|
||||||
|
</table>
|
||||||
|
</blockquote>
|
||||||
|
</p>
|
||||||
|
</td></tr>
|
||||||
|
<tr><td><br/></td></tr>
|
||||||
|
</table>
|
||||||
|
</td>
|
||||||
|
</tr>
|
||||||
|
|
||||||
|
<!-- FOOTER -->
|
||||||
|
<tr><td colspan="2">
|
||||||
|
<hr noshade="" size="1"/>
|
||||||
|
</td></tr>
|
||||||
|
<tr><td colspan="2">
|
||||||
|
<div align="center"><font color="#525D76" size="-1"><em>
|
||||||
|
Copyright © 1999-2002, Apache Software Foundation
|
||||||
|
</em></font></div>
|
||||||
|
</td></tr>
|
||||||
|
</table>
|
||||||
|
</body>
|
||||||
|
</html>
|
||||||
|
<!-- end the processing -->
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
@ -0,0 +1,57 @@
|
||||||
|
<benchmark>
|
||||||
|
<ul>
|
||||||
|
<p>
|
||||||
|
<b>Hardware Environment</b><br/>
|
||||||
|
<li><i>Dedicated machine for indexing</i>: Self-explanatory
|
||||||
|
(yes/no)</li>
|
||||||
|
<li><i>CPU</i>: Self-explanatory (Type, Speed and Quantity)</li>
|
||||||
|
<li><i>RAM</i>: Self-explanatory</li>
|
||||||
|
<li><i>Drive configuration</i>: Self-explanatory (IDE, SCSI, RAID-1,
|
||||||
|
RAID-5)</li>
|
||||||
|
</p>
|
||||||
|
<p>
|
||||||
|
<b>Software environment</b><br/>
|
||||||
|
<li><i>Java Version</i>: Version of Java SDK/JRE that is run </li>
|
||||||
|
<li><i>Java VM</i>: Server/client VM, Sun VM/JRockIt</li>
|
||||||
|
<li><i>OS Version</i>: Self-explanatory</li>
|
||||||
|
<li><i>Location of index</i>: Is the index stored in filesystem or
|
||||||
|
database? Is it on the same server(local) or
|
||||||
|
over the network?</li>
|
||||||
|
</p>
|
||||||
|
<p>
|
||||||
|
<b>Lucene indexing variables</b><br/>
|
||||||
|
<li><i>Number of source documents</i>: Number of documents being
|
||||||
|
indexed</li>
|
||||||
|
<li><i>Total filesize of source documents</i>: Self-explanatory</li>
|
||||||
|
<li><i>Average filesize of source documents</i>:
|
||||||
|
Self-explanatory</li>
|
||||||
|
<li><i>Source documents storage location</i>: Where are the documents
|
||||||
|
being indexed located?
|
||||||
|
Filesystem, DB, http,etc</li>
|
||||||
|
<li><i>File type of source documents</i>: Types of files being
|
||||||
|
indexed, e.g. HTML files, XML files, PDF files, etc.</li>
|
||||||
|
<li><i>Parser(s) used, if any</i>: Parsers used for parsing the
|
||||||
|
various files for indexing,
|
||||||
|
e.g. XML parser, HTML parser, etc.</li>
|
||||||
|
<li><i>Analyzer(s) used</i>: Type of Lucene analyzer used</li>
|
||||||
|
<li><i>Number of fields per document</i>: Number of Fields each
|
||||||
|
Document contains</li>
|
||||||
|
<li><i>Type of fields</i>: Type of each field</li>
|
||||||
|
<li><i>Index persistence</i>: Where the index is stored, e.g.
|
||||||
|
FSDirectory, SqlDirectory, etc</li>
|
||||||
|
</p>
|
||||||
|
<p>
|
||||||
|
<b>Figures</b><br/>
|
||||||
|
<li><i>Time taken (in ms/s as an average of at least 3 indexing
|
||||||
|
runs)</i>: Time taken to index to index all files</li>
|
||||||
|
<li><i>Time taken / 1000 docs indexed</i>: Time taken to index 1000
|
||||||
|
files</li>
|
||||||
|
<li><i>Memory consumption</i>: Self-explanatory</li>
|
||||||
|
</p>
|
||||||
|
<p>
|
||||||
|
<b>Notes</b><br/>
|
||||||
|
<li><i>Notes</i>: Any comments which don't belong in the above,
|
||||||
|
special tuning/strategies, etc</li>
|
||||||
|
</p>
|
||||||
|
</ul>
|
||||||
|
</benchmark>
|
||||||
|
|
@ -0,0 +1,283 @@
|
||||||
|
<?xml version="1.0"?>
|
||||||
|
<document>
|
||||||
|
<properties>
|
||||||
|
<author email="kelvint@apache.org">Kelvin Tan</author>
|
||||||
|
<title>Resources - Performance Benchmarks</title>
|
||||||
|
</properties>
|
||||||
|
<body>
|
||||||
|
|
||||||
|
<section name="Performance Benchmarks">
|
||||||
|
<p>
|
||||||
|
The purpose of these user-submitted performance figures is to
|
||||||
|
give current and potential users of Lucene a sense
|
||||||
|
of how well Lucene scales. If the requirements for an upcoming
|
||||||
|
project is similar to an existing benchmark, you
|
||||||
|
will also have something to work with when designing the system
|
||||||
|
architecture for the application.
|
||||||
|
</p>
|
||||||
|
<p>
|
||||||
|
If you've conducted performance tests with Lucene, we'd
|
||||||
|
appreciate if you can submit these figures for display
|
||||||
|
on this page. Post these figures to the lucene-user mailing list
|
||||||
|
using this
|
||||||
|
<a href="benchmarktemplate.xml">template</a>.
|
||||||
|
</p>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
<section name="Benchmark Variables">
|
||||||
|
<p>
|
||||||
|
<ul>
|
||||||
|
<p>
|
||||||
|
<b>Hardware Environment</b><br/>
|
||||||
|
<li><i>Dedicated machine for indexing</i>: Self-explanatory
|
||||||
|
(yes/no)</li>
|
||||||
|
<li><i>CPU</i>: Self-explanatory (Type, Speed and Quantity)</li>
|
||||||
|
<li><i>RAM</i>: Self-explanatory</li>
|
||||||
|
<li><i>Drive configuration</i>: Self-explanatory (IDE, SCSI,
|
||||||
|
RAID-1, RAID-5)</li>
|
||||||
|
</p>
|
||||||
|
<p>
|
||||||
|
<b>Software environment</b><br/>
|
||||||
|
<li><i>Java Version</i>: Version of Java SDK/JRE that is run
|
||||||
|
</li>
|
||||||
|
<li><i>Java VM</i>: Server/client VM, Sun VM/JRockIt</li>
|
||||||
|
<li><i>OS Version</i>: Self-explanatory</li>
|
||||||
|
<li><i>Location of index</i>: Is the index stored in filesystem
|
||||||
|
or database? Is it on the same server(local) or
|
||||||
|
over the network?</li>
|
||||||
|
</p>
|
||||||
|
<p>
|
||||||
|
<b>Lucene indexing variables</b><br/>
|
||||||
|
<li><i>Number of source documents</i>: Number of documents being
|
||||||
|
indexed</li>
|
||||||
|
<li><i>Total filesize of source documents</i>:
|
||||||
|
Self-explanatory</li>
|
||||||
|
<li><i>Average filesize of source documents</i>:
|
||||||
|
Self-explanatory</li>
|
||||||
|
<li><i>Source documents storage location</i>: Where are the
|
||||||
|
documents being indexed located?
|
||||||
|
Filesystem, DB, http,etc</li>
|
||||||
|
<li><i>File type of source documents</i>: Types of files being
|
||||||
|
indexed, e.g. HTML files, XML files, PDF files, etc.</li>
|
||||||
|
<li><i>Parser(s) used, if any</i>: Parsers used for parsing the
|
||||||
|
various files for indexing,
|
||||||
|
e.g. XML parser, HTML parser, etc.</li>
|
||||||
|
<li><i>Analyzer(s) used</i>: Type of Lucene analyzer used</li>
|
||||||
|
<li><i>Number of fields per document</i>: Number of Fields each
|
||||||
|
Document contains</li>
|
||||||
|
<li><i>Type of fields</i>: Type of each field</li>
|
||||||
|
<li><i>Index persistence</i>: Where the index is stored, e.g.
|
||||||
|
FSDirectory, SqlDirectory, etc</li>
|
||||||
|
</p>
|
||||||
|
<p>
|
||||||
|
<b>Figures</b><br/>
|
||||||
|
<li><i>Time taken (in ms/s as an average of at least 3 indexing
|
||||||
|
runs)</i>: Time taken to index all files</li>
|
||||||
|
<li><i>Time taken / 1000 docs indexed</i>: Time taken to index
|
||||||
|
1000 files</li>
|
||||||
|
<li><i>Memory consumption</i>: Self-explanatory</li>
|
||||||
|
</p>
|
||||||
|
<p>
|
||||||
|
<b>Notes</b><br/>
|
||||||
|
<li><i>Notes</i>: Any comments which don't belong in the above,
|
||||||
|
special tuning/strategies, etc</li>
|
||||||
|
</p>
|
||||||
|
</ul>
|
||||||
|
</p>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
<section name="User-submitted Benchmarks">
|
||||||
|
<p>
|
||||||
|
These benchmarks have been kindly submitted by Lucene users for
|
||||||
|
reference purposes.
|
||||||
|
</p>
|
||||||
|
<p><b>We make NO guarantees regarding their accuracy or
|
||||||
|
validity.</b>
|
||||||
|
</p>
|
||||||
|
<p>We strongly recommend you conduct your own
|
||||||
|
performance benchmarks before deciding on a particular
|
||||||
|
hardware/software setup (and hopefully submit
|
||||||
|
these figures to us).
|
||||||
|
</p>
|
||||||
|
|
||||||
|
<subsection name="Hamish Carpenter's benchmarks">
|
||||||
|
<ul>
|
||||||
|
<p>
|
||||||
|
<b>Hardware Environment</b><br/>
|
||||||
|
<li><i>Dedicated machine for indexing</i>: yes</li>
|
||||||
|
<li><i>CPU</i>: Intel x86 P4 1.5Ghz</li>
|
||||||
|
<li><i>RAM</i>: 512 DDR</li>
|
||||||
|
<li><i>Drive configuration</i>: IDE 7200rpm Raid-1</li>
|
||||||
|
</p>
|
||||||
|
<p>
|
||||||
|
<b>Software environment</b><br/>
|
||||||
|
<li><i>Java Version</i>: 1.3.1 IBM JITC Enabled</li>
|
||||||
|
<li><i>Java VM</i>: </li>
|
||||||
|
<li><i>OS Version</i>: Debian Linux 2.4.18-686</li>
|
||||||
|
<li><i>Location of index</i>: local</li>
|
||||||
|
</p>
|
||||||
|
<p>
|
||||||
|
<b>Lucene indexing variables</b><br/>
|
||||||
|
<li><i>Number of source documents</i>: Random generator. Set
|
||||||
|
to make 1M documents
|
||||||
|
in 2x500,000 batches.</li>
|
||||||
|
<li><i>Total filesize of source documents</i>: > 1GB if
|
||||||
|
stored</li>
|
||||||
|
<li><i>Average filesize of source documents</i>: 1KB</li>
|
||||||
|
<li><i>Source documents storage location</i>: Filesystem</li>
|
||||||
|
<li><i>File type of source documents</i>: Generated</li>
|
||||||
|
<li><i>Parser(s) used, if any</i>: </li>
|
||||||
|
<li><i>Analyzer(s) used</i>: Default</li>
|
||||||
|
<li><i>Number of fields per document</i>: 11</li>
|
||||||
|
<li><i>Type of fields</i>: 1 date, 1 id, 9 text</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>: </li>
|
||||||
|
<li><i>Time taken / 1000 docs indexed</i>: 49 seconds</li>
|
||||||
|
<li><i>Memory consumption</i>:</li>
|
||||||
|
</p>
|
||||||
|
<p>
|
||||||
|
<b>Notes</b><br/>
|
||||||
|
<li><i>Notes</i>:
|
||||||
|
<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>
|
||||||
|
<p>Other query optimizations made little difference.</p></li>
|
||||||
|
</p>
|
||||||
|
</ul>
|
||||||
|
<p>
|
||||||
|
Hamish can be contacted at hamish at catalyst.net.nz.
|
||||||
|
</p>
|
||||||
|
</subsection>
|
||||||
|
|
||||||
|
<subsection name="Justin Greene's benchmarks">
|
||||||
|
<ul>
|
||||||
|
<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/>
|
||||||
|
<li><i>Notes</i>:
|
||||||
|
<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.
|
||||||
|
</p></li>
|
||||||
|
</p>
|
||||||
|
</ul>
|
||||||
|
<p>
|
||||||
|
Justin can be contacted at tvxh-lw4x at spamex.com.
|
||||||
|
</p>
|
||||||
|
</subsection>
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
|
</body>
|
||||||
|
</document>
|
||||||
|
|
||||||
Loading…
Reference in New Issue