mirror of https://github.com/apache/lucene.git
1152 lines
35 KiB
HTML
1152 lines
35 KiB
HTML
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
|
|
<html>
|
|
<head>
|
|
<META http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
|
<meta content="Apache Forrest" name="Generator">
|
|
<meta name="Forrest-version" content="0.8">
|
|
<meta name="Forrest-skin-name" content="pelt">
|
|
<title>Apache Lucene - Resources - Performance Benchmarks</title>
|
|
<link type="text/css" href="skin/basic.css" rel="stylesheet">
|
|
<link media="screen" type="text/css" href="skin/screen.css" rel="stylesheet">
|
|
<link media="print" type="text/css" href="skin/print.css" rel="stylesheet">
|
|
<link type="text/css" href="skin/profile.css" rel="stylesheet">
|
|
<script src="skin/getBlank.js" language="javascript" type="text/javascript"></script><script src="skin/getMenu.js" language="javascript" type="text/javascript"></script><script src="skin/fontsize.js" language="javascript" type="text/javascript"></script>
|
|
<link rel="shortcut icon" href="images/favicon.ico">
|
|
</head>
|
|
<body onload="init()">
|
|
<script type="text/javascript">ndeSetTextSize();</script>
|
|
<div id="top">
|
|
<!--+
|
|
|breadtrail
|
|
+-->
|
|
<div class="breadtrail">
|
|
<a href="http://www.apache.org/">Apache</a> > <a href="http://lucene.apache.org/">Lucene</a><script src="skin/breadcrumbs.js" language="JavaScript" type="text/javascript"></script>
|
|
</div>
|
|
<!--+
|
|
|header
|
|
+-->
|
|
<div class="header">
|
|
<!--+
|
|
|start group logo
|
|
+-->
|
|
<div class="grouplogo">
|
|
<a href="http://lucene.apache.org/"><img class="logoImage" alt="Lucene" src="http://www.apache.org/images/asf_logo_simple.png" title="Apache Lucene"></a>
|
|
</div>
|
|
<!--+
|
|
|end group logo
|
|
+-->
|
|
<!--+
|
|
|start Project Logo
|
|
+-->
|
|
<div class="projectlogo">
|
|
<a href="http://lucene.apache.org/java/"><img class="logoImage" alt="Lucene" src="http://lucene.apache.org/images/lucene_green_300.gif" title="Apache Lucene is a high-performance, full-featured text search engine library written entirely in
|
|
Java. It is a technology suitable for nearly any application that requires full-text search, especially cross-platform."></a>
|
|
</div>
|
|
<!--+
|
|
|end Project Logo
|
|
+-->
|
|
<!--+
|
|
|start Search
|
|
+-->
|
|
<div class="searchbox">
|
|
<form action="http://www.google.com/search" method="get" class="roundtopsmall">
|
|
<input value="lucene.apache.org" name="sitesearch" type="hidden"><input onFocus="getBlank (this, 'Search the site with google');" size="25" name="q" id="query" type="text" value="Search the site with google">
|
|
<input name="Search" value="Search" type="submit">
|
|
</form>
|
|
</div>
|
|
<!--+
|
|
|end search
|
|
+-->
|
|
<!--+
|
|
|start Tabs
|
|
+-->
|
|
<ul id="tabs">
|
|
<li class="current">
|
|
<a class="selected" href="http://lucene.apache.org/java/docs/">Main</a>
|
|
</li>
|
|
<li>
|
|
<a class="unselected" href="http://wiki.apache.org/lucene-java">Wiki</a>
|
|
</li>
|
|
<li>
|
|
<a class="unselected" href="http://lucene.apache.org/java/2_3_0/">Lucene 2.3.0 Documentation</a>
|
|
</li>
|
|
<li class="current">
|
|
<a class="selected" href="index.html">Lucene 2.4-dev Documentation</a>
|
|
</li>
|
|
</ul>
|
|
<!--+
|
|
|end Tabs
|
|
+-->
|
|
</div>
|
|
</div>
|
|
<div id="main">
|
|
<div id="publishedStrip">
|
|
<!--+
|
|
|start Subtabs
|
|
+-->
|
|
<div id="level2tabs"></div>
|
|
<!--+
|
|
|end Endtabs
|
|
+-->
|
|
<script type="text/javascript"><!--
|
|
document.write("Last Published: " + document.lastModified);
|
|
// --></script>
|
|
</div>
|
|
<!--+
|
|
|breadtrail
|
|
+-->
|
|
<div class="breadtrail">
|
|
|
|
|
|
</div>
|
|
<!--+
|
|
|start Menu, mainarea
|
|
+-->
|
|
<!--+
|
|
|start Menu
|
|
+-->
|
|
<div id="menu">
|
|
<div onclick="SwitchMenu('menu_selected_1.1', 'skin/')" id="menu_selected_1.1Title" class="menutitle" style="background-image: url('skin/images/chapter_open.gif');">Documentation</div>
|
|
<div id="menu_selected_1.1" class="selectedmenuitemgroup" style="display: block;">
|
|
<div class="menuitem">
|
|
<a href="index.html">Overview</a>
|
|
</div>
|
|
<div onclick="SwitchMenu('menu_1.1.2', 'skin/')" id="menu_1.1.2Title" class="menutitle">Javadocs</div>
|
|
<div id="menu_1.1.2" class="menuitemgroup">
|
|
<div class="menuitem">
|
|
<a href="api/index.html">All (Core, Demo, Contrib)</a>
|
|
</div>
|
|
<div class="menuitem">
|
|
<a href="api/core/index.html">Core</a>
|
|
</div>
|
|
<div class="menuitem">
|
|
<a href="api/demo/index.html">Demo</a>
|
|
</div>
|
|
<div onclick="SwitchMenu('menu_1.1.2.4', 'skin/')" id="menu_1.1.2.4Title" class="menutitle">Contrib</div>
|
|
<div id="menu_1.1.2.4" class="menuitemgroup">
|
|
<div class="menuitem">
|
|
<a href="api/contrib-analyzers/index.html">Analyzers</a>
|
|
</div>
|
|
<div class="menuitem">
|
|
<a href="api/contrib-ant/index.html">Ant</a>
|
|
</div>
|
|
<div class="menuitem">
|
|
<a href="api/contrib-bdb/index.html">Bdb</a>
|
|
</div>
|
|
<div class="menuitem">
|
|
<a href="api/contrib-bdb-je/index.html">Bdb-je</a>
|
|
</div>
|
|
<div class="menuitem">
|
|
<a href="api/contrib-benchmark/index.html">Benchmark</a>
|
|
</div>
|
|
<div class="menuitem">
|
|
<a href="api/contrib-highlighter/index.html">Highlighter</a>
|
|
</div>
|
|
<div class="menuitem">
|
|
<a href="api/contrib-lucli/index.html">Lucli</a>
|
|
</div>
|
|
<div class="menuitem">
|
|
<a href="api/contrib-memory/index.html">Memory</a>
|
|
</div>
|
|
<div class="menuitem">
|
|
<a href="api/contrib-misc/index.html">Miscellaneous</a>
|
|
</div>
|
|
<div class="menuitem">
|
|
<a href="api/contrib-queries/index.html">Queries</a>
|
|
</div>
|
|
<div class="menuitem">
|
|
<a href="api/contrib-regex/index.html">Regex</a>
|
|
</div>
|
|
<div class="menuitem">
|
|
<a href="api/contrib-snowball/index.html">Snowball</a>
|
|
</div>
|
|
<div class="menuitem">
|
|
<a href="api/contrib-spellchecker/index.html">Spellchecker</a>
|
|
</div>
|
|
<div class="menuitem">
|
|
<a href="api/contrib-surround/index.html">Surround</a>
|
|
</div>
|
|
<div class="menuitem">
|
|
<a href="api/contrib-swing/index.html">Swing</a>
|
|
</div>
|
|
<div class="menuitem">
|
|
<a href="api/contrib-wordnet/index.html">Wordnet</a>
|
|
</div>
|
|
<div class="menuitem">
|
|
<a href="api/contrib-xml-query-parser/index.html">XML Query Parser</a>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="menupage">
|
|
<div class="menupagetitle">Benchmarks</div>
|
|
</div>
|
|
<div class="menuitem">
|
|
<a href="contributions.html">Contributions</a>
|
|
</div>
|
|
<div class="menuitem">
|
|
<a href="http://wiki.apache.org/lucene-java/LuceneFAQ">FAQ</a>
|
|
</div>
|
|
<div class="menuitem">
|
|
<a href="fileformats.html">File Formats</a>
|
|
</div>
|
|
<div class="menuitem">
|
|
<a href="gettingstarted.html">Getting Started</a>
|
|
</div>
|
|
<div class="menuitem">
|
|
<a href="lucene-sandbox/index.html">Lucene Sandbox</a>
|
|
</div>
|
|
<div class="menuitem">
|
|
<a href="queryparsersyntax.html">Query Syntax</a>
|
|
</div>
|
|
<div class="menuitem">
|
|
<a href="scoring.html">Scoring</a>
|
|
</div>
|
|
<div class="menuitem">
|
|
<a href="http://wiki.apache.org/lucene-java">Wiki</a>
|
|
</div>
|
|
</div>
|
|
<div id="credit"></div>
|
|
<div id="roundbottom">
|
|
<img style="display: none" class="corner" height="15" width="15" alt="" src="skin/images/rc-b-l-15-1body-2menu-3menu.png"></div>
|
|
<!--+
|
|
|alternative credits
|
|
+-->
|
|
<div id="credit2"></div>
|
|
</div>
|
|
<!--+
|
|
|end Menu
|
|
+-->
|
|
<!--+
|
|
|start content
|
|
+-->
|
|
<div id="content">
|
|
<div title="Portable Document Format" class="pdflink">
|
|
<a class="dida" href="benchmarks.pdf"><img alt="PDF -icon" src="skin/images/pdfdoc.gif" class="skin"><br>
|
|
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>
|
|
<!--+
|
|
|end content
|
|
+-->
|
|
<div class="clearboth"> </div>
|
|
</div>
|
|
<div id="footer">
|
|
<!--+
|
|
|start bottomstrip
|
|
+-->
|
|
<div class="lastmodified">
|
|
<script type="text/javascript"><!--
|
|
document.write("Last Published: " + document.lastModified);
|
|
// --></script>
|
|
</div>
|
|
<div class="copyright">
|
|
Copyright ©
|
|
2006 <a href="http://www.apache.org/licenses/">The Apache Software Foundation.</a>
|
|
</div>
|
|
<!--+
|
|
|end bottomstrip
|
|
+-->
|
|
</div>
|
|
</body>
|
|
</html>
|