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Apache Solr 4 Enterprise Search Server: RAW

Starting
David Smiley, Eric Pugh, Kranti Parisa, Matt Mitchell

Enhance your search with faceted navigation, result highlighting, relevancy ranked sorting, and more with this complete guide to Apache Solr 4 with this book and ebook
This title is available to pre-order now and is expected to be published in
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Book Details

ISBN 139781782161363
Paperback451 pages

About This Book

  • Design a scheme to include text indexing details such as tokenization, stemming, and synonyms
  • Tune Solr to make it search faster and achieve near real-time search
  • Master the features and capabilities of Apache Solr to enhance your search

Who This Book Is For

This book is for developers who want to learn how to use Apache Solr in their applications, developers who need to add search capabilities to their application, as well as existing Solr users who want to get to grips with all of the awesome capabilities of Solr 4. Only basic programming skills are required.

Table of Contents

What You Will Learn

  • New and exciting features of Apache Solr 4
  • Integrate Solr with your application
  • Build a fast and highly accurate search server with Apache Solr
  • Master search using Solr’s rich query syntax, perform geospatial searches, and influence relevancy order

In Detail

Apache Solr is a fast, scalable, open source Enterprise search server built on Apache Lucene. Solr is wildly popular because it supports complex search criteria, faceting, result highlighting, query-completion, query spell-checking, and relevancy tuning amongst numerous other features.

"Apache Solr 4 Enterprise Search Server" is a comprehensive reference guide for every feature Solr 4 has to offer. It provides high value information for the reader, from installation and calibration to development and deployment of Solr.

If you are a developer building an app then you know how important a good search experience is. Apache Solr, built on Apache Lucene, is a popular open source enterprise search server that easily delivers powerful search and faceted navigation features that are elusive with databases. Solr supports complex search criteria, faceting, result highlighting, query-completion, query spell-check, relevancy tuning, and more.

Through using a large set of metadata on artists, releases, and tracks courtesy of the MusicBrainz.org project, you will have a testing ground for Solr, and will learn how to import this data in various ways. You will then learn how to search this data in different ways, including Solr's rich query syntax and "boosting" match scores based on record data.

Finally, we'll cover various deployment considerations to include indexing strategies and performance-oriented configuration that will enable you to scale Solr to meet the needs of a high-volume site.

RAW FAQ

This book is currently available as a RAW (Read As we Write) book. A RAW book is an ebook, and this one is priced at 20% off the usual eBook price. Once you purchase the RAW book, you can immediately download the content of the book so far, and when new chapters become available, you will be notified, and  can download the new version of the book. When the book is published, you will receive the full, finished eBook.

If you like, you can preorder the print book at the same time as you purchase the RAW book at a significant discount.

Since a RAW book is an eBook, a RAW book is non returnable and non refundable.

Local taxes may apply to your eBook purchase.

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