mirror of https://github.com/apache/lucene.git
521 lines
17 KiB
HTML
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521 lines
17 KiB
HTML
Executable File
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<script type="text/javascript">
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function selectProvider(form) {
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provider = form.elements['searchProvider'].value;
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if (provider == "any") {
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if (Math.random() > 0.5) {
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provider = "lucid";
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provider = "sl";
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if (provider == "lucid") {
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<div id="credit2">
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<a href="http://www.packtpub.com/solr-1-4-enterprise-search-server?utm_source=http%3A%2F%2Flucene.apache.org%2Fsolr%2F&utm_medium=spons&utm_content=pod&utm_campaign=mdb_000275"><img border="0" title="Book: Solr 1.4 Enterprise Search Server" alt="Book: Solr 1.4 Enterprise Search Server - logo" src="images/solr-book-image.jpg" style="width: 150px;height: 185px;"></a><a href="http://www.packtpub.com/solr-3-1-enterprise-search-server-cookbook/book"><img border="0" title="Book: Apache Solr 3.1 Cookbook" alt="Book: Apache Solr 3.1 Cookbook - logo" src="images/solr_31_cookbook.jpg" style="width: 150px;height: 180px;"></a><a href="http://www.lucidimagination.com/Downloads/LucidWorks-for-Solr/Reference-Guide?sc=AP"><img border="0" title="LucidWorks for Solr Certified Distribution Reference Guide" alt="LucidWorks for Solr Certified Distribution Reference Guide - logo" src="images/lucidworks_reference_guide.png" style="width: 150px;height: 185px;"></a>
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<div id="content">
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<div title="Portable Document Format" class="pdflink">
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<a class="dida" href="features.pdf"><img alt="PDF -icon" src="skin/images/pdfdoc.gif" class="skin"><br>
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PDF</a>
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</div>
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<h1>Introduction to The Solr Enterprise Search Server</h1>
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<div id="minitoc-area">
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<ul class="minitoc">
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<li>
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<a href="#Solr+in+a+Nutshell">Solr in a Nutshell</a>
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</li>
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<li>
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<a href="#Solr+Uses+the+Lucene+Search+Library+and+Extends+it%21">Solr Uses the Lucene Search Library and Extends it!</a>
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</li>
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<li>
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<a href="#Detailed+Features">Detailed Features</a>
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<ul class="minitoc">
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<li>
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<a href="#Schema">Schema</a>
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</li>
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<li>
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<a href="#Query">Query</a>
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</li>
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<li>
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<a href="#Core">Core</a>
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</li>
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<li>
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<a href="#Caching">Caching</a>
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</li>
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<li>
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<a href="#Replication">Replication</a>
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</li>
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<li>
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<a href="#Admin+Interface">Admin Interface</a>
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</li>
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</ul>
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</li>
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</ul>
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</div>
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<a name="N1000E"></a><a name="Solr+in+a+Nutshell"></a>
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<h2 class="boxed">Solr in a Nutshell</h2>
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<div class="section">
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<p>
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Solr is a standalone enterprise search server with a REST-like API. You put documents in it (called "indexing") via XML, JSON or binary over HTTP. You query it via HTTP GET and receive XML, JSON, or binary results.
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</p>
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<ul>
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<li> Advanced Full-Text Search Capabilities </li>
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<li> Optimized for High Volume Web Traffic </li>
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<li> Standards Based Open Interfaces - XML,JSON and HTTP </li>
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<li> Comprehensive HTML Administration Interfaces </li>
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<li> Server statistics exposed over JMX for monitoring </li>
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<li> Scalability - Efficient Replication to other Solr Search Servers </li>
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<li> Flexible and Adaptable with XML configuration </li>
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<li> Extensible Plugin Architecture </li>
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</ul>
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</div>
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<a name="N10033"></a><a name="Solr+Uses+the+Lucene+Search+Library+and+Extends+it%21"></a>
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<h2 class="boxed">Solr Uses the Lucene Search Library and Extends it!</h2>
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<div class="section">
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<ul>
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<li> A Real Data Schema, with Numeric Types, Dynamic Fields, Unique Keys </li>
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<li> Powerful Extensions to the Lucene Query Language </li>
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<li> Faceted Search and Filtering </li>
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<li> Geospatial Search </li>
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<li> Advanced, Configurable Text Analysis </li>
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<li> Highly Configurable and User Extensible Caching </li>
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<li> Performance Optimizations </li>
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<li> External Configuration via XML </li>
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<li> An Administration Interface </li>
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<li> Monitorable Logging </li>
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<li> Fast Incremental Updates and Index Replication </li>
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<li> Highly Scalable Distributed search with sharded index across multiple hosts </li>
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<li> JSON, XML, CSV/delimited-text, and binary update formats </li>
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<li> Easy ways to pull in data from databases and XML files from local disk and HTTP sources </li>
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<li> Rich Document Parsing and Indexing (PDF, Word, HTML, etc) using Apache Tika </li>
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<li> Apache UIMA integration for configurable metadata extraction </li>
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<li> Multiple search indices </li>
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</ul>
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</div>
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<a name="N10070"></a><a name="Detailed+Features"></a>
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<h2 class="boxed">Detailed Features</h2>
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<div class="section">
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<a name="N10076"></a><a name="Schema"></a>
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<h3 class="boxed">Schema</h3>
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<ul>
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<li>Defines the field types and fields of documents</li>
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<li>Can drive more intelligent processing</li>
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<li>Declarative Lucene Analyzer specification</li>
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<li>Dynamic Fields enables on-the-fly addition of new fields</li>
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<li>CopyField functionality allows indexing a single field multiple ways, or combining multiple fields into a single searchable field</li>
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<li>Explicit types eliminates the need for guessing types of fields</li>
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<li>External file-based configuration of stopword lists, synonym lists, and protected word lists</li>
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<li>Many additional text analysis components including word splitting, regex and sounds-like filters</li>
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</ul>
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<a name="N10097"></a><a name="Query"></a>
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<h3 class="boxed">Query</h3>
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<ul>
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<li>HTTP interface with configurable response formats (XML/XSLT, JSON, Python, Ruby, PHP, Velocity, binary)</li>
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<li>Sort by any number of fields, and by complex functions of numeric fields</li>
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<li>Advanced DisMax query parser for high relevancy results from user-entered queries</li>
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<li>Highlighted context snippets</li>
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<li>Faceted Searching based on unique field values, explicit queries, date ranges, and numeric ranges</li>
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<li>Multi-Select Faceting by tagging and selectively excluding filters</li>
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<li>Spelling suggestions for user queries</li>
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<li>More Like This suggestions for given document</li>
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<li>Function Query - influence the score by user specified complex functions of
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numeric fields or query relevancy scores.</li>
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<li>Range filter over Function Query results</li>
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<li>Date Math - specify dates relative to "NOW" in queries and updates</li>
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<li>Dynamic search results clustering using Carrot2</li>
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<li>Numeric field statistics such as min, max, average, standard deviation </li>
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<li>Combine queries derived from different syntaxes</li>
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<li>Auto-suggest functionality for completing user queries</li>
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<li>Allow configuration of top results for a query, overriding normal scoring and sorting</li>
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<li>Performance Optimizations</li>
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</ul>
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<a name="N100D3"></a><a name="Core"></a>
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<h3 class="boxed">Core</h3>
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<ul>
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<li>Dynamically create and delete document collections without restarting</li>
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<li>Pluggable query handlers and extensible XML data format</li>
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<li>Pluggable user functions for Function Query</li>
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<li>Customizable component based request handler with distributed search support</li>
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<li>Document uniqueness enforcement based on unique key field</li>
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<li>Duplicate document detection, including fuzzy near duplicates</li>
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<li>Custom index processing chains, allowing document manipulation before indexing</li>
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<li>User configurable commands triggered on index changes</li>
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<li>Ability to control where docs with the sort field missing will be placed</li>
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<li>"Luke" request handler for corpus information</li>
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</ul>
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<a name="N100FA"></a><a name="Caching"></a>
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<h3 class="boxed">Caching</h3>
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<ul>
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<li>Configurable Query Result, Filter, and Document cache instances</li>
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<li>Pluggable Cache implementations, including a lock free, high concurrency implementation</li>
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<li>Cache warming in background
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<ul>
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<li> When a new searcher is opened, configurable searches are run against
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it in order to warm it up to avoid
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slow first hits. During warming, the current searcher handles live requests.
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</li>
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</ul>
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</li>
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<li>Autowarming in background
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<ul>
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<li>The most recently accessed items in the caches of the current
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searcher are re-populated in the new searcher, enabling high cache hit
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rates across index/searcher changes.</li>
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</ul>
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</li>
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<li>Fast/small filter implementation</li>
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<li>User level caching with autowarming support</li>
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</ul>
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<a name="N1011F"></a><a name="Replication"></a>
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<h3 class="boxed">Replication</h3>
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<ul>
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<li>Efficient distribution of index parts that have changed</li>
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<li>Pull strategy allows for easy addition of searchers</li>
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<li>Configurable distribution interval allows tradeoff between timeliness and cache utilization</li>
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<li>Replication and automatic reloading of configuration files</li>
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</ul>
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<a name="N10134"></a><a name="Admin+Interface"></a>
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<h3 class="boxed">Admin Interface</h3>
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<ul>
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<li>Comprehensive statistics on cache utilization, updates, and queries</li>
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<li>Interactive schema browser that includes index statistics</li>
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<li>Replication monitoring</li>
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<li>Full logging control</li>
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<li>Text analysis debugger, showing result of every stage in an analyzer</li>
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<li>Web Query Interface w/ debugging output
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<ul>
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<li>parsed query output</li>
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<li>Lucene explain() document score detailing</li>
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<li>explain score for documents outside of the requested range to debug why a given document wasn't ranked higher.</li>
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</ul>
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