Ferret [NOOK Book]

Overview

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 ...

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Ferret

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Overview

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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Product Details

  • ISBN-13: 9780596554712
  • Publisher: O'Reilly Media, Incorporated
  • Publication date: 3/21/2008
  • Sold by: Barnes & Noble
  • Format: eBook
  • Edition number: 1
  • Pages: 112
  • File size: 2 MB

Meet 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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Table of Contents

Preface     v
Getting Started     1
Installing Ferret     1
A Quick Example: Indexing the Filesystem     2
Summary     5
Indexing     7
Index Storage     7
Documents, Fields, and Boosts     8
Setting Up the Index     11
Basic Indexing Operations     16
Indexing Non-String Datatypes     19
Summary     21
Advanced Indexing     23
How the Indexing Process Works     23
Tuning Indexing Performance     25
Optimizing the Index     31
Index Locking and Concurrency Issues     32
Summary     34
Search     35
Overview of Searching Classes     35
Building Queries     37
QueryParser     50
Filtering Search Results     57
Sorting Search Results     61
Highlighting Query Results     64
Summary     66
Analysis     67
Token     67
TokenStream     68
Analyzer     75
Custom Analysis     77
Ferret in Practice     79
IndexingMultiple Document Types     79
Other Indexing Improvements     88
Search Improvements     89
Putting It All Together     90
Summary     94
Index     95

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Customer Reviews

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Sort by: Showing all of 2 Customer Reviews
  • Anonymous

    Posted October 14, 2013

    TAP HERE

    FERRETS SUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUU
    UUUUUUUUUUUUUUUIUUUCK

    0 out of 1 people found this review helpful.

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  • Anonymous

    Posted March 26, 2013

    Ferret 117

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