Gain a thorough knowledge of Lucene's capabilities and use it to develop your own search
applications. This book explores the Java-based high-performance text search engine library
used to build search capabilities in your applications. Starting with the basics of Lucene and
searching you will learn about the types of queries used in it and also take a look at scoring
models. Applying this basic knowledge you will develop a hello world app using basic Lucene
queries and explore functions like scoring and document level boosting. Along the way you will
also uncover the concepts of partial searching and matching in Lucene and then learn how to
integrate geographical information (geospatial data) in Lucene using spatial queries and
n-dimensional indexing. This will prepare you to build a location-aware search engine with a
representative data set that allows location constraints to be specified during a search.
You'll also develop atext classifier using Lucene and Apache Mahout a popular machine learning
framework. After a detailed review of performance bench-marking and common issues associated
with it you'll learn some of the best practices of tuning the performance of your application.
By the end of the book you'll be able to build your first Lucene patch where you will not only
write your patch but also test it and ensure it adheres to community coding standards. What
You'll Learn Master the basics of Apache Lucene Utilize different query types in Apache Lucene
Explore scoring and document level boosting Integrate geospatial data into your application Who
This Book Is For Developers wanting to learn the finer details of Apache Lucene by developing a
series of projects with it.
