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Ferret [Paperback]

David Balmain (Author)

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Book Description

0596519400 978-0596519407 March 28, 2008 1

With the introduction of Ferret, Ruby users now have one of the fastest and most flexible search libraries available. And it's surprisingly easy to use.

This book will show you how to quickly get up and running with Ferret. You'll learn how to index different document types such as PDF, Microsoft Word, and HTML, as well as how to deal with foreign languages and different character encodings. Ferret describes the Ferret Query Language in detail along with the object-oriented approach to building queries.

You will also be introduced to sorting, filtering, and highlighting your search results, with an explanation of exactly how you need to set up your index to perform these tasks. You will also learn how to optimize a Ferret index for lightning fast indexing and split-second query results.


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About the Author

David Balmain is a freelance software developer and the primary developer of the open source search library Ferret. He gained an interest in high performance text processing at university where he earned a BSc specializing in natural language processing. Recently he has taken an interest in web application development and become enamored with the scripting language Ruby.

Currently David resides with his girlfriend in 12 square meter apartment in Tokyo where he practices Judo five hours a day and is trying to learn Japanese.


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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
boost attribute, span queries, multiprocess environment, index locking, def initialize, field infos, indexing performance, indexing parameters, phrase queries, position increment, end def, building queries, indexing process
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Start End Poslnc Text, Indexing Multiple Document Types, Mark Twain, Sorting Search Results, Tom Sawyer, Tuning Indexing Performance, Advanced Indexing
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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