Introduction to Search with Sphinx by Aksyonoff, Andrew -- Read -- Imperial Library of Trantor

Index

Introduction to Search with Sphinx SPECIAL OFFER: Upgrade this ebook with O’Reilly Preface

Audience Organization of This Book Conventions Used in This Book Using Code Examples We’d Like to Hear from You Safari® Books Online Acknowledgments

1. The World of Text Search

Terms and Concepts in Search

Thinking in Documents Versus Databases Why Do We Need Full-Text Indexes? Query Languages Logical Versus Full-Text Conditions

Logical conditions Full-text queries Differences between logical and full-text searches

Natural Language Processing From Text to Words Linguistics Crash Course Relevance, As Seen from Outer Space Result Set Postprocessing Full-Text Indexes

Search Workflows

Kinds of Data Indexing Approaches Full-Text Indexes and Attributes Approaches to Searching Kinds of Results

Getting Started with Sphinx

Workflow Overview Getting Started ... in a Minute Basic Configuration

Defining Data Sources

Disk-based indexes RT indexes Distributed indexes

Declaring Fields and Attributes in SQL Data Sphinx-Wide Settings Managing Configurations with Inheritance and Scripting

Accessing searchd

Configuring Interfaces Using SphinxAPI Using SphinxQL

Building Sphinx from Source

Quick Build Source Build Requirements Configuring Sources and Building Binaries

3. Basic Indexing

Indexing SQL Data

Main Fetch Query Pre-Queries, Post-Queries, and Post-Index Queries How the Various SQL Queries Work Together Ranged Queries for Larger Data Sets

Indexing XML Data

Index Schemas for XML Data XML Encodings xmlpipe2 Elements Reference

Working with Character Sets Handling Stop Words and Short Words

4. Basic Searching

Matching Modes Full-Text Query Syntax

Known Operators Escaping Special Characters AND and OR Operators and a Notorious Precedence Trap NOT Operator Field Limit Operator Phrase Operator Keyword Proximity Operator Quorum Operator Strict Order (BEFORE) Operator NEAR Operator SENTENCE and PARAGRAPH Operators ZONE Limit Operator Keyword Modifiers

Result Set Contents and Limits Searching Multiple Indexes Result Set Processing

Expressions Filtering Sorting Grouping

5. Managing Indexes

The “Divide and Conquer” Concept Index Rotation Picking Documents Handling Updates and Deletions with K-Lists Scheduling Rebuilds, and Using Multiple Deltas Merge Versus Rebuild Versus Deltas Scripting and Reloading Configurations

6. Relevance and Ranking

Relevance Assessment: A Black Art Relevance Ranking Functions Sphinx Rankers Explained

BM25 Factor Phrase Proximity Factor Overview of the Available Rankers Nitty-gritty Ranker Details How Do I Draw Those Stars? How Do I Rank Exact Field Matches Higher? How Do I Force Document D to Rank First? How Does Sphinx Ranking Compare to System XYZ?

Where to Go from Here

About the Author SPECIAL OFFER: Upgrade this ebook with O’Reilly Copyright