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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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Add Ferret, 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 di, Ferret to the inventory that you are selling on WonderClubX
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Add Ferret, 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 di, Ferret to your collection on WonderClub |