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543 lines
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543 lines
28 KiB
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<meta name="author" value="Kelvin Tan">
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<title>Jakarta Lucene - Resources - Performance Benchmarks</title>
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<a href="http://jakarta.apache.org/lucene/"><img src="./images/lucene_green_300.gif" alt="Jakarta Lucene" border="0"/></a>
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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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<li> <a href="./powered.html">Powered by Lucene</a>
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<p><strong>Resources</strong></p>
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<li> <a href="http://lucene.sourceforge.net/cgi-bin/faq/faqmanager.cgi">FAQ (Official)</a>
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<li> <a href="./benchmarks.html">Benchmarks</a>
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<li> <a href="http://nagoya.apache.org/bugzilla/buglist.cgi?bug_status=NEW&bug_status=ASSIGNED&bug_status=REOPENED&email1=&emailtype1=substring&emailassigned_to1=1&email2=&emailtype2=substring&emailreporter2=1&bugidtype=include&bug_id=&changedin=&votes=&chfieldfrom=&chfieldto=Now&chfieldvalue=&product=Lucene&short_desc=%5BPATCH%5D&short_desc_type=allwordssubstr&long_desc=&long_desc_type=allwordssubstr&bug_file_loc=&bug_file_loc_type=allwordssubstr&keywords=&keywords_type=anywords&field0-0-0=noop&type0-0-0=noop&value0-0-0=&cmdtype=doit&order=%27Importance%27">Patches</a>
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<li> <a href="http://nagoya.apache.org/bugzilla/buglist.cgi?bug_status=NEW&bug_status=ASSIGNED&bug_status=REOPENED&email1=&emailtype1=substring&emailassigned_to1=1&email2=&emailtype2=substring&emailreporter2=1&bugidtype=include&bug_id=&changedin=&votes=&chfieldfrom=&chfieldto=Now&chfieldvalue=&product=Lucene&short_desc=&short_desc_type=allwordssubstr&long_desc=&long_desc_type=allwordssubstr&bug_file_loc=&bug_file_loc_type=allwordssubstr&keywords=&keywords_type=anywords&field0-0-0=noop&type0-0-0=noop&value0-0-0=&cmdtype=doit&order=%27Importance%27">Lucene Bugs</a>
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<li> <a href="http://nagoya.apache.org/eyebrowse/SummarizeList?listId=29">Lucene-dev</a>
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<li> <a href="./lucene-sandbox/">Lucene Sandbox</a>
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<li> <a href="http://jakarta.apache.org/site/getinvolved.html">Get Involved</a>
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<li> <a href="http://jakarta.apache.org/site/acknowledgements.html">Acknowledgements</a>
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<li> <a href="http://jakarta.apache.org/site/contact.html">Contact</a>
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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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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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.. .
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10 10091ms
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</pre>
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<p>
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I removed the two date range terms from the query and it made
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a HUGE
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difference in performance. With 4 threads the avg time
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dropped to 900ms!
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</p>
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<p>Other query optimizations made little difference.</p></li>
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</p>
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</ul>
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<p>
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Hamish can be contacted at hamish at catalyst.net.nz.
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</p>
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</blockquote>
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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="#828DA6">
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<font color="#ffffff" face="arial,helvetica,sanserif">
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<a name="Justin Greene's benchmarks"><strong>Justin Greene'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>: No, but nominal
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usage at time of indexing.</li>
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<li><i>CPU</i>: Compaq Proliant 1850R/600 2 X pIII 600</li>
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<li><i>RAM</i>: 1GB, 256MB allocated to JVM.</li>
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<li><i>Drive configuration</i>: RAID 5 on Fibre Channel
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Array</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_06</li>
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<li><i>Java VM</i>: </li>
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<li><i>OS Version</i>: Winnt 4/Sp6</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>: about 60K</li>
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<li><i>Total filesize of source documents</i>: 6.5GB</li>
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<li><i>Average filesize of source documents</i>: 100K
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(6.5GB/60K documents)</li>
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<li><i>Source documents storage location</i>: filesystem on
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NTFS</li>
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<li><i>File type of source documents</i>: </li>
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<li><i>Parser(s) used, if any</i>: Currently the only parser
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used is the Quiotix html
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parser.</li>
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<li><i>Analyzer(s) used</i>: SimpleAnalyzer</li>
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<li><i>Number of fields per document</i>: 8</li>
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<li><i>Type of fields</i>: All strings, and all are stored
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and indexed.</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>: 1 hour 12 minutes, 1 hour 14 minutes and 1 hour 17
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minutes. Note that the #
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and size of documents changes daily.</li>
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<li><i>Time taken / 1000 docs indexed</i>: </li>
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<li><i>Memory consumption</i>: JVM is given 256MB and uses it
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all.</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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We have 10 threads reading files from the filesystem and
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parsing and
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analyzing them and the pushing them onto a queue and a single
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thread poping
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them from the queue and indexing. Note that we are indexing
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email messages
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and are storing the entire plaintext in of the message in the
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index. If the
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message contains attachment and we do not have a filter for
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the attachment
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(ie. we do not do PDFs yet), we discard the data.
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</p></li>
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</p>
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</ul>
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<p>
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Justin can be contacted at tvxh-lw4x at spamex.com.
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</p>
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</blockquote>
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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="#828DA6">
|
|
<font color="#ffffff" face="arial,helvetica,sanserif">
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|
<a name="Daniel Armbrust's benchmarks"><strong>Daniel Armbrust'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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<p>
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My disclaimer is that this is a very poor "Benchmark". It was not done for raw speed,
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nor was the total index built in one shot. The index was created on several different
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machines (all with these specs, or very similar), with each machine indexing batches of 500,000 to
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1 million documents per batch. Each of these small indexes was then moved to a
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much larger drive, where they were all merged together into a big index.
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This process was done manually, over the course of several months, as the sources became available.
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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>: no - The machine had moderate to low load. However, the indexing process was built single
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threaded, so it only took advantage of 1 of the processors. It usually got 100% of this processor.</li>
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<li><i>CPU</i>: Sun Ultra 80 4 x 64 bit processors</li>
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<li><i>RAM</i>: 4 GB Memory</li>
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<li><i>Drive configuration</i>: Ultra-SCSI Wide 10000 RPM 36GB Drive</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</li>
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<li><i>Java VM</i>: </li>
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<li><i>OS Version</i>: Sun 5.8 (64 bit)</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>: 13,820,517</li>
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|
<li><i>Total filesize of source documents</i>: 87.3 GB</li>
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|
<li><i>Average filesize of source documents</i>: 6.3 KB</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>: 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>: A home grown analyzer that simply removes stopwords.</li>
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<li><i>Number of fields per document</i>: 1 - 31</li>
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<li><i>Type of fields</i>: All text, though 2 of them are dates (20001205) that we filter on</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>
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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>: For 617271 documents, 209698 seconds (or ~2.5 days)</li>
|
|
<li><i>Time taken / 1000 docs indexed</i>: 340 Seconds</li>
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|
<li><i>Memory consumption</i>: (java executed with) java -Xmx1000m -Xss8192k so
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1 GB of memory was allotted to the indexer</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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The source documents were XML. The "indexer" opened each document one at a time, ran an
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XSL transformation on them, and then proceeded to index the stream. The indexer optimized
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|
the index every 50,000 documents (on this run) though previously, we optimized every
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300,000 documents. The performance didn't change much either way. We did no other
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|
tuning (RAM Directories, separate process to pretransform the source material, etc)
|
|
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.
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</p></li>
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</p>
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</ul>
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<p>
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Daniel can be contacted at Armbrust.Daniel at mayo.edu.
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</p>
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</blockquote>
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</td></tr>
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<tr><td><br/></td></tr>
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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>
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Copyright © 1999-2003, Apache Software Foundation
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</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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