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copied!<p>There is no one-size-fits-all solution but you can try out:</p> <p><strong>Sphinx</strong> </p> <blockquote> <p>How do you implement full-text search for that 10+ million row table, keep up with the load, and stay relevant? Sphinx is good at those kinds of riddles.</p> <p>Sphinx is a full-text search engine, distributed under GPL version 2. Commercial license is also available for embedded use.</p> <p>Generally, it's a standalone search engine, meant to provide fast, size-efficient and relevant fulltext search functions to other applications. Sphinx was specially designed to integrate well with SQL databases and scripting languages. Currently built-in data sources support fetching data either via direct connection to MySQL or PostgreSQL, or using XML pipe mechanism (a pipe to indexer in special XML-based format which Sphinx recognizes).</p> <p>As for the name, Sphinx is an acronym which is officially decoded as SQL Phrase Index. Yes, I know about CMU's Sphinx project.</p> </blockquote> <p><a href="http://www.sphinxsearch.com/" rel="noreferrer">http://www.sphinxsearch.com/</a></p> <pre><code>Lucene PHP (Part of Zend Framework): </code></pre> <blockquote> <p>Zend_Search_Lucene is a general purpose text search engine written entirely in PHP 5. Since it stores its index on the filesystem and does not require a database server, it can add search capabilities to almost any PHP-driven website. Zend_Search_Lucene supports the following features:</p> <ul> <li>Ranked searching - best results returned first</li> <li>Many powerful query types: phrase queries, boolean queries, wildcard<br> queries, proximity queries, range<br> queries and many others.</li> <li>Search by specific field (e.g., title, author, contents)</li> </ul> </blockquote> <p><a href="http://framework.zend.com/" rel="noreferrer">http://framework.zend.com/</a> <a href="http://framework.zend.com/manual/en/zend.search.lucene.overview.html" rel="noreferrer">http://framework.zend.com/manual/en/zend.search.lucene.overview.html</a></p>

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