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Posted to java-commits@lucene.apache.org by gs...@apache.org on 2006/11/27 01:03:14 UTC
svn commit: r479466 [1/8] - /lucene/java/trunk/docs/
Author: gsingers
Date: Sun Nov 26 16:03:13 2006
New Revision: 479466
URL: http://svn.apache.org/viewvc?view=rev&rev=479466
Log:
part 2 of new docs commits
Added:
lucene/java/trunk/docs/benchmarks.html
lucene/java/trunk/docs/benchmarks.pdf
lucene/java/trunk/docs/contributions.html
lucene/java/trunk/docs/contributions.pdf
lucene/java/trunk/docs/demo.html
lucene/java/trunk/docs/demo.pdf
lucene/java/trunk/docs/demo2.html
lucene/java/trunk/docs/demo2.pdf
lucene/java/trunk/docs/demo3.html
lucene/java/trunk/docs/demo3.pdf
lucene/java/trunk/docs/demo4.html
lucene/java/trunk/docs/demo4.pdf
lucene/java/trunk/docs/features.html
lucene/java/trunk/docs/features.pdf
lucene/java/trunk/docs/fileformats.html
lucene/java/trunk/docs/fileformats.pdf
lucene/java/trunk/docs/gettingstarted.html
lucene/java/trunk/docs/gettingstarted.pdf
lucene/java/trunk/docs/index.html
lucene/java/trunk/docs/index.pdf
lucene/java/trunk/docs/linkmap.html
lucene/java/trunk/docs/linkmap.pdf
lucene/java/trunk/docs/mailinglists.html
lucene/java/trunk/docs/mailinglists.pdf
lucene/java/trunk/docs/queryparsersyntax.html
lucene/java/trunk/docs/queryparsersyntax.pdf
lucene/java/trunk/docs/releases.html
lucene/java/trunk/docs/releases.pdf
lucene/java/trunk/docs/scoring.html
lucene/java/trunk/docs/scoring.pdf
lucene/java/trunk/docs/whoweare.html
lucene/java/trunk/docs/whoweare.pdf
Added: lucene/java/trunk/docs/benchmarks.html
URL: http://svn.apache.org/viewvc/lucene/java/trunk/docs/benchmarks.html?view=auto&rev=479466
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--- lucene/java/trunk/docs/benchmarks.html (added)
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+ PDF</a>
+</div>
+<h1>Apache Lucene - Resources - Performance Benchmarks</h1>
+<div id="minitoc-area">
+<ul class="minitoc">
+<li>
+<a href="#Performance Benchmarks">Performance Benchmarks</a>
+</li>
+<li>
+<a href="#Benchmark Variables">Benchmark Variables</a>
+</li>
+<li>
+<a href="#User-submitted Benchmarks">User-submitted Benchmarks</a>
+<ul class="minitoc">
+<li>
+<a href="#Hamish Carpenter's benchmarks">Hamish Carpenter's benchmarks</a>
+</li>
+<li>
+<a href="#Justin Greene's benchmarks">Justin Greene's benchmarks</a>
+</li>
+<li>
+<a href="#Daniel Armbrust's benchmarks">Daniel Armbrust's benchmarks</a>
+</li>
+<li>
+<a href="#Geoffrey Peddle's benchmarks">Geoffrey Peddle's benchmarks</a>
+</li>
+</ul>
+</li>
+</ul>
+</div>
+
+
+<a name="N10013"></a><a name="Performance Benchmarks"></a>
+<h2 class="boxed">Performance Benchmarks</h2>
+<div class="section">
+<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>
+</div>
+
+
+<a name="N10023"></a><a name="Benchmark Variables"></a>
+<h2 class="boxed">Benchmark Variables</h2>
+<div class="section">
+<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>Lucene Version</i>: Self-explanatory</li>
+
+<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>
+
+<li>
+<i>Query speed</i>: average time a query takes, type
+ of queries (e.g. simple one-term query, phrase query),
+ not measuring any overhead outside Lucene</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>
+</div>
+
+
+<a name="N100CA"></a><a name="User-submitted Benchmarks"></a>
+<h2 class="boxed">User-submitted Benchmarks</h2>
+<div class="section">
+<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>
+<a name="N100DA"></a><a name="Hamish Carpenter's benchmarks"></a>
+<h3 class="boxed">Hamish Carpenter's benchmarks</h3>
+<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>Lucene Version</i>: 1.3</li>
+
+<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>
+
+<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>
+
+</p>
+
+</ul>
+<p>
+ Hamish can be contacted at hamish at catalyst.net.nz.
+ </p>
+<a name="N1019F"></a><a name="Justin Greene's benchmarks"></a>
+<h3 class="boxed">Justin Greene's benchmarks</h3>
+<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>
+
+<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>
+
+</p>
+
+</ul>
+<p>
+ Justin can be contacted at tvxh-lw4x at spamex.com.
+ </p>
+<a name="N1023A"></a><a name="Daniel Armbrust's benchmarks"></a>
+<h3 class="boxed">Daniel Armbrust's benchmarks</h3>
+<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>
+
+<li>
+<i>Lucene Version</i>: 1.2</li>
+
+<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
+ 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.
+ </p>
+
+</p>
+
+</ul>
+<p>
+ Daniel can be contacted at Armbrust.Daniel at mayo.edu.
+ </p>
+<a name="N102E2"></a><a name="Geoffrey Peddle's benchmarks"></a>
+<h3 class="boxed">Geoffrey Peddle's benchmarks</h3>
+<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>
+ Index Size:<br>
+ For our test data the size of both indexes grew
+ linearly with the number of documents. Note that
+ these sizes are compact sizes, not maximum size during
+ index loading. The numbers below are from running du
+ -k in the directory containing the index data. The
+ larger number's below for Vendor A may be because it
+ supports additional functionality not available in
+ Lucene. I think it's the constant rate of growth
+ rather than the absolute amount which is more
+ important.
+ </p>
+<pre>
+50K documents
+Lucene 45516 K
+A 63921
+200K
+Lucene 171565
+A 228370
+400K
+Lucene 345717
+A 457843
+600K
+Lucene 511338
+A 684913
+</pre>
+<p>
+ Indexing Times:<br>
+ These times are for reading the documents from our
+ database, processing them, inserting them into the
+ document search product and index compacting. Our
+ data has a large number of fields/attributes. For
+ this test I restricted Lucene to 24 attributes to
+ reduce the number of files created. Doing this I was
+ able to specify a merge width for Lucene of 60. I
+ found in general that Lucene indexing performance to
+ be very sensitive to changes in the merge width.
+ Note also that our application does a full compaction
+ after inserting every 20,000 documents. These times
+ are just within our acceptable limits but we are
+ interested in alternatives to increase Lucene's
+ performance in this area.
+ </p>
+<p>
+
+<pre>
+600K documents
+Lucene 81 minutes
+A 34 minutes
+</pre>
+
+</p>
+<p>
+ (I don't have accurate results for all sizes on this
+ measure but believe that the indexing time for both
+ solutions grew essentially linearly with size. The
+ time to compact the index generally grew with index
+ size but it's a small percent of overall time at these
+ sizes.)
+ </p>
+<ul>
+
+<p>
+
+<b>Hardware Environment</b>
+<br>
+
+<li>
+<i>Dedicated machine for indexing</i>: yes</li>
+
+<li>
+<i>CPU</i>: Dell Pentium 4 CPU 2.00Ghz, 1cpu</li>
+
+<li>
+<i>RAM</i>: 1 GB Memory</li>
+
+<li>
+<i>Drive configuration</i>: Fujitsu MAM3367MP SCSI </li>
+
+</p>
+
+<p>
+
+<b>Software environment</b>
+<br>
+
+<li>
+<i>Java Version</i>: 1.4.2_02</li>
+
+<li>
+<i>Java VM</i>: JDK</li>
+
+<li>
+<i>OS Version</i>: Windows XP </li>
+
+<li>
+<i>Location of index</i>: local</li>
+
+</p>
+
+<p>
+
+<b>Lucene indexing variables</b>
+<br>
+
+<li>
+<i>Number of source documents</i>: 600,000</li>
+
+<li>
+<i>Total filesize of source documents</i>: from database</li>
+
+<li>
+<i>Average filesize of source documents</i>: from database</li>
+
+<li>
+<i>Source documents storage location</i>: from database</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>: small variation on WhitespaceAnalyzer</li>
+
+<li>
+<i>Number of fields per document</i>: 24</li>
+
+<li>
+<i>Type of fields</i>: A1 keyword, 1 big unindexed, rest are unstored and a mix of tokenized/untokenized</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>: 600,000 documents in 81 minutes (du -k = 511338)</li>
+
+<li>
+<i>Time taken / 1000 docs indexed</i>: 123 documents/second</li>
+
+<li>
+<i>Memory consumption</i>: -ms256m -mx512m -Xss4m -XX:MaxPermSize=512M</li>
+
+</p>
+
+<p>
+
+<b>Notes</b>
+<br>
+
+<p>
+
+<li>merge width of 60</li>
+
+<li>did a compact every 20,000 documents</li>
+
+</p>
+
+</p>
+
+</ul>
+</div>
+
+
+</div>
+<div class="clearboth"> </div>
+</div>
+<div id="footer">
+<div class="lastmodified">
+<script type="text/javascript"><!--
+document.write("<text>Last Published:</text> " + document.lastModified);
+// --></script>
+</div>
+<div class="copyright">
+ Copyright ©
+ 2006 <a href="http://www.apache.org/licenses/">The Apache Software Foundation.</a>
+</div>
+</div>
+</body>
+</html>
Added: lucene/java/trunk/docs/benchmarks.pdf
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+<div id="content">
+<div title="Portable Document Format" class="pdflink">
+<a class="dida" href="contributions.pdf"><img alt="PDF -icon" src="skin/images/pdfdoc.gif" class="skin"><br>
+ PDF</a>
+</div>
+<h1>
+ Apache Lucene - Contributions
+ </h1>
+<div id="minitoc-area">
+<ul class="minitoc">
+<li>
+<a href="#Overview">Overview</a>
+</li>
+<li>
+<a href="#Lucene Tools">Lucene Tools</a>
+<ul class="minitoc">
+<li>
+<a href="#Luke">Luke</a>
+</li>
+<li>
+<a href="#LIMO (Lucene Index Monitor)">LIMO (Lucene Index Monitor)</a>
+</li>
+</ul>
+</li>
+<li>
+<a href="#Lucene Document Converters">Lucene Document Converters</a>
+<ul class="minitoc">
+<li>
+<a href="#XML Document #1">XML Document #1</a>
+</li>
+<li>
+<a href="#XML Document #2">XML Document #2</a>
+</li>
+<li>
+<a href="#PDF Box">PDF Box</a>
+</li>
+<li>
+<a href="#XPDF - PDF Document Conversion">XPDF - PDF Document Conversion</a>
+</li>
+<li>
+<a href="#PDFTextStream -- PDF text and metadata extraction">PDFTextStream -- PDF text and metadata extraction</a>
+</li>
+<li>
+<a href="#PJ Classic & PJ Professional - PDF Document Conversion">PJ Classic & PJ Professional - PDF Document Conversion</a>
+</li>
+</ul>
+</li>
+<li>
+<a href="#Miscellaneous">Miscellaneous</a>
+<ul class="minitoc">
+<li>
+<a href="#Arabic Analyzer for Java">Arabic Analyzer for Java</a>
+</li>
+<li>
+<a href="#Phonetix">Phonetix</a>
+</li>
+<li>
+<a href="#ejIndex - JBoss MBean for Lucene">ejIndex - JBoss MBean for Lucene</a>
+</li>
+<li>
+<a href="#JavaCC">JavaCC</a>
+</li>
+</ul>
+</li>
+</ul>
+</div>
+
+<a name="N10013"></a><a name="Overview"></a>
+<h2 class="boxed">Overview</h2>
+<div class="section">
+<p>This page lists external Lucene resources. If you have
+ written something that should be included, please post all
+ relevant information to one of the mailing lists. Nothing
+ listed here is directly supported by the Lucene
+ developers, so if you encounter any problems with any of
+ this software, please use the author's contact information
+ to get help.</p>
+<p>If you are looking for information on contributing patches or other improvements to Lucene, see
+ <a href="http://wiki.apache.org/jakarta-lucene/HowToContribute">How To Contribute</a> on the Lucene Wiki.</p>
+</div>
+
+
+<a name="N10024"></a><a name="Lucene Tools"></a>
+<h2 class="boxed">Lucene Tools</h2>
+<div class="section">
+<p>
+ Software that works with Lucene indices.
+ </p>
+<a name="N1002D"></a><a name="Luke"></a>
+<h3 class="boxed">Luke</h3>
+<table class="ForrestTable" cellspacing="1" cellpadding="4">
+
+<tr>
+
+<th width="%1">
+ URL
+ </th>
+ <td>
+ <a href="http://www.getopt.org/luke/">
+ http://www.getopt.org/luke/
+ </a>
+ </td>
+
+</tr>
+
+<tr>
+
+<th width="%1">
+ author
+ </th>
+ <td>
+ Andrzej Bialecki
+ </td>
+
+</tr>
+
+</table>
+<a name="N1004E"></a><a name="LIMO (Lucene Index Monitor)"></a>
+<h3 class="boxed">LIMO (Lucene Index Monitor)</h3>
+<table class="ForrestTable" cellspacing="1" cellpadding="4">
+
+<tr>
+
+<th width="%1">
+ URL
+ </th>
+ <td>
+ <a href="http://limo.sf.net/">
+ http://limo.sf.net/
+ </a>
+ </td>
+
+</tr>
+
+<tr>
+
+<th width="%1">
+ author
+ </th>
+ <td>
+ Julien Nioche
+ </td>
+
+</tr>
+
+</table>
+</div>
+
+
+<a name="N10071"></a><a name="Lucene Document Converters"></a>
+<h2 class="boxed">Lucene Document Converters</h2>
+<div class="section">
+<p>
+ Lucene requires information you want to index to be
+ converted into a Document class. Here are
+ contributions for various solutions that convert different
+ content types to Lucene's Document classes.
+ </p>
+<a name="N1007A"></a><a name="XML Document #1"></a>
+<h3 class="boxed">XML Document #1</h3>
+<table class="ForrestTable" cellspacing="1" cellpadding="4">
+
+<tr>
+
+<th width="%1">
+ URL
+ </th>
+ <td>
+ <a href="http://marc.theaimsgroup.com/?l=lucene-dev&m=100723333506246&w=2">
+ http://marc.theaimsgroup.com/?l=lucene-dev&m=100723333506246&w=2
+ </a>
+ </td>
+
+</tr>
+
+<tr>
+
+<th width="%1">
+ author
+ </th>
+ <td>
+ Philip Ogren - ogren@mayo.edu
+ </td>
+
+</tr>
+
+</table>
+<a name="N1009C"></a><a name="XML Document #2"></a>
+<h3 class="boxed">XML Document #2</h3>
+<table class="ForrestTable" cellspacing="1" cellpadding="4">
+
+<tr>
+
+<th width="%1">
+ URL
+ </th>
+ <td>
+ <a href="http://www.mail-archive.com/lucene-user@jakarta.apache.org/msg00346.html">
+ http://www.mail-archive.com/lucene-user@jakarta.apache.org/msg00346.html
+ </a>
+ </td>
+
+</tr>
+
+<tr>
+
+<th width="%1">
+ author
+ </th>
+ <td>
+ Peter Carlson - carlson@bookandhammer.com
+ </td>
+
+</tr>
+
+</table>
+<a name="N100BE"></a><a name="PDF Box"></a>
+<h3 class="boxed">PDF Box</h3>
+<table class="ForrestTable" cellspacing="1" cellpadding="4">
+
+<tr>
+
+<th width="%1">
+ URL
+ </th>
+ <td>
+ <a href="http://www.pdfbox.org/">
+ http://www.pdfbox.org/
+ </a>
+ </td>
+
+</tr>
+
+<tr>
+
+<th width="%1">
+ author
+ </th>
+ <td>
+ Ben Litchfield - ben@csh.rit.edu
+ </td>
+
+</tr>
+
+</table>
+<a name="N100E0"></a><a name="XPDF - PDF Document Conversion"></a>
+<h3 class="boxed">XPDF - PDF Document Conversion</h3>
+<table class="ForrestTable" cellspacing="1" cellpadding="4">
+
+<tr>
+
+<th width="%1">
+ URL
+ </th>
+ <td>
+ <a href="http://www.foolabs.com/xpdf">
+ http://www.foolabs.com/xpdf
+ </a>
+ </td>
+
+</tr>
+
+<tr>
+
+<th width="%1">
+ author
+ </th>
+ <td>
+ N/A
+ </td>
+
+</tr>
+
+</table>
+<a name="N10102"></a><a name="PDFTextStream -- PDF text and metadata extraction"></a>
+<h3 class="boxed">PDFTextStream -- PDF text and metadata extraction</h3>
+<table class="ForrestTable" cellspacing="1" cellpadding="4">
+
+<tr>
+
+<th width="%1">
+ URL
+ </th>
+ <td>
+ <a href="http://snowtide.com">
+ http://snowtide.com
+ </a>
+ </td>
+
+</tr>
+
+<tr>
+
+<th width="%1">
+ author
+ </th>
+ <td>
+ N/A
+ </td>
+
+</tr>
+
+</table>
+<a name="N10124"></a><a name="PJ Classic & PJ Professional - PDF Document Conversion"></a>
+<h3 class="boxed">PJ Classic & PJ Professional - PDF Document Conversion</h3>
+<table class="ForrestTable" cellspacing="1" cellpadding="4">
+
+<tr>
+
+<th width="%1">
+ URL
+ </th>
+ <td>
+ <a href=" http://www.etymon.com/">
+ http://www.etymon.com/
+ </a>
+ </td>
+
+</tr>
+
+<tr>
+
+<th width="%1">
+ author
+ </th>
+ <td>
+ N/A
+ </td>
+
+</tr>
+
+</table>
+</div>
+
+
+<a name="N10147"></a><a name="Miscellaneous"></a>
+<h2 class="boxed">Miscellaneous</h2>
+<div class="section">
+<p>
+
+</p>
+<a name="N10150"></a><a name="Arabic Analyzer for Java"></a>
+<h3 class="boxed">Arabic Analyzer for Java</h3>
+<table class="ForrestTable" cellspacing="1" cellpadding="4">
+
+<tr>
+
+<th width="%1">
+ URL
+ </th>
+ <td>
+ <a href="http://savannah.nongnu.org/projects/aramorph">
+ http://savannah.nongnu.org/projects/aramorph
+ </a>
+ </td>
+
+</tr>
+
+<tr>
+
+<th width="%1">
+ author
+ </th>
+ <td>
+ Pierrick Brihaye
+ </td>
+
+</tr>
+
+</table>
+<a name="N10172"></a><a name="Phonetix"></a>
+<h3 class="boxed">Phonetix</h3>
+<table class="ForrestTable" cellspacing="1" cellpadding="4">
+
+<tr>
+
+<th width="%1">
+ URL
+ </th>
+ <td>
+ <a href="http://www.companywebstore.de/tangentum/mirror/en/products/phonetix/index.html">
+ http://www.companywebstore.de/tangentum/mirror/en/products/phonetix/index.html
+ </a>
+ </td>
+
+</tr>
+
+<tr>
+
+<th width="%1">
+ author
+ </th>
+ <td>
+ tangentum technologies
+ </td>
+
+</tr>
+
+</table>
+<a name="N10194"></a><a name="ejIndex - JBoss MBean for Lucene"></a>
+<h3 class="boxed">ejIndex - JBoss MBean for Lucene</h3>
+<p>
+
+</p>
+<table class="ForrestTable" cellspacing="1" cellpadding="4">
+
+<tr>
+
+<th width="%1">
+ URL
+ </th>
+ <td>
+ <a href="http://ejindex.sourceforge.net/">
+ http://ejindex.sourceforge.net/
+ </a>
+ </td>
+
+</tr>
+
+<tr>
+
+<th width="%1">
+ author
+ </th>
+ <td>
+ Andy Scholz
+ </td>
+
+</tr>
+
+</table>
+<a name="N101B9"></a><a name="JavaCC"></a>
+<h3 class="boxed">JavaCC</h3>
+<table class="ForrestTable" cellspacing="1" cellpadding="4">
+
+<tr>
+
+<th width="%1">
+ URL
+ </th>
+ <td>
+ <a href="https://javacc.dev.java.net/">
+ https://javacc.dev.java.net/
+ </a>
+ </td>
+
+</tr>
+
+<tr>
+
+<th width="%1">
+ author
+ </th>
+ <td>
+ Sun Microsystems (java.net)
+ </td>
+
+</tr>
+
+</table>
+</div>
+
+</div>
+<div class="clearboth"> </div>
+</div>
+<div id="footer">
+<div class="lastmodified">
+<script type="text/javascript"><!--
+document.write("<text>Last Published:</text> " + document.lastModified);
+// --></script>
+</div>
+<div class="copyright">
+ Copyright ©
+ 2006 <a href="http://www.apache.org/licenses/">The Apache Software Foundation.</a>
+</div>
+</div>
+</body>
+</html>
Added: lucene/java/trunk/docs/contributions.pdf
URL: http://svn.apache.org/viewvc/lucene/java/trunk/docs/contributions.pdf?view=auto&rev=479466
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