What this book covers

Chapter 1, Introducing Lucene, introduces you to the core components of Lucene and gives you the know-how to set up Lucene on your own.

Chapter 2, Analyzing Your Text, explores a key feature of Lucene called Analyzers. We will show you how text analyzing works and how to customize it to suit your needs.

Chapter 3, Indexing Your Data, looks into the data injection process in Lucene and reviews the core concepts, such as norms and similarity.

Chapter 4, Searching Your Indexes, will cover the core search components such as FieldCache and TermVectors, and will give you all the knowledge you need to build an effective search engine.

Chapter 5, Near Real-time Searching, will show you how near real-time search is achieved via various methods and their trade-offs, so you can make educated decisions when designing your search application.

Chapter 6, Querying and Filtering Data, gives you a glimpse of the various querying and filtering features that have been proven to build successful search engines.

Chapter 7, Flexible Scoring, takes a technical dive into the mechanics of scoring, how scores are determined, how it affects ranking positions and what you can do to customize it.

Chapter 8, Introducing Elasticsearch, gives an introduction to a Lucene-based open source search solution that gives you everything you need to build a search application in no time.

Chapter 9, Extending Lucene with Modules, explores the additional features, such as spatial search and faceting, that extend Lucene functionalities beyond just text search.