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Sphinx: High Performance Full Text Search for MySQL

Andrew Aksyonoff (Sphinx Technologies), Peter Zaitsev (MySQL Performance Blog)
General
Location: Ballroom C

Ever-increasing amount of diverse text content stored in MySQL databases makes full text search through that content important to the point of being crucial.

Sphinx improves MySQL full-text capabilities in several different areas: speed, relevancy, scalability, compatibility with storage engines other than MyISAM.

This talk will cover Sphinx features from basic searching to advanced capabilities such as efficient filtering, grouping, distributed searching, geo-distance support, and many others.

We will also talk about different special Sphinx uses in conjunction with MySQL: using Sphinx Storage Engine; moving certain non-fulltext queries to Sphinx clusters to offload MySQL; etc.

Andrew Aksyonoff

Sphinx Technologies

Andrew is the author of Sphinx, an open-source full-text search engine designed especially for indexing databases.

Photo of Peter Zaitsev

Peter Zaitsev

MySQL Performance Blog

Peter helped many companies ranging from one man startups to Fortune 500 companies with their Performance and Scaling problems on various stages starting from architecture design and down to queries and schema optimization.

Over cause of the years Peter has spoken on many International conferences focused on MySQL, Open Source, Databases or High Performance Web applications.

Before co-founding Percona Peter worked for MySQL AB as head of High Performance Group being involved in Support, Consulting, Development and working with vendors helping to optimize their software or hardware to perform well with MySQL.

Peter also was involved in number of Web Startups in the roles ranging from CTO to Consultant and has a lot of experience in MySQL and Web Applications Operations, Deployment, Quality Assurance and Development.

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