Apache Solr 4 Enterprise Search Server: RAW

David Smiley, Eric Pugh, Kranti Parisa, Matt Mitchell

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Apache Solr 4 Enterprise Search Server: RAW

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Overview

Table of Contents

Author

Reviews

Support

Sample Chapters

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

Book Details

Language : English
Paperback : 451 pages [ 235mm x 191mm ]
Release Date : June 2013
ISBN : 1782161368
ISBN 13 : 9781782161363
Author(s) : David Smiley, Eric Pugh, Kranti Parisa, Matt Mitchell
Topics and Technologies : All Books, Open Source, RAW books

Chapter Availability

Chapter Number	Title	Availability
1	Quick Starting Solr	IN THE BOOK
2	Schema Design	IN THE BOOK
3	Text Analysis	JUNE 2013
4	Indexing Data	JUNE 2013
5	Searching	JUNE 2013
6	Search Relevancy	IN THE BOOK
7	Faceting	JUNE 2013
8	Search Components	JUNE 2013
9	Deployment	JUNE 2013
10	Integrating Solr	JUNE 2013
11	Scaling Solr	JUNE 2013

David Smiley

Born to code, David Smiley is a senior software engineer, book author, conference speaker, and instructor. He has 12 years of experience in the defense industry at MITRE, specializing in Java and Web technologies. David is the principal author of "Solr 1.4 Enterprise Search Server", the first book on Solr, published by PACKT in 2009. He also developed and taught a two-day course on Solr for MITRE. David plays a lead technical role in a large-scale Solr project in which he has implemented geospatial search based on geohash prefixes, wildcard ngram query parsing, searching multiple multi-valued fields at coordinated positions, part-of-speech search using Lucene payloads, and other things. David consults as a Solr expert on numerous projects for MITRE and its government sponsors. He has contributed code to Lucene and Solr and is active in the open-source community. Prior to his Solr work, David first used Lucene back in 2000, as well as Hibernate-Search and Compass since then. He also used the competing Endeca commercial product, too, but hopes to never use it again.

Eric Pugh

Fascinated by the 'craft' of software development, Eric Pugh has been heavily involved in the open source world as a developer, committer, and user for the past five years. He is an emeritus member of the Apache Software Foundation and lately has been mulling over how we solve the problem of finding answers in datasets when we don’t know the questions ahead of time to ask. In biotech, financial services, and defense IT, he has helped European and American companies develop coherent strategies for embracing open source search software. As a speaker, he has advocated the advantages of Agile practices with a focus on testing in search engine implementation. Eric became involved with Solr when he submitted the patch SOLR-284 for Parsing Rich Document types such as PDF and MS Office formats that became the single most popular patch as measured by votes! The patch was subsequently cleaned up and enhanced by three other individuals, demonstrating the power of the open source model to build great code collaboratively. SOLR-284 was eventually refactored into Solr Cell as part of Solr version 1.4. He blogs at http://www.opensourceconnections.com/.

Kranti Parisa

Matt Mitchell

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What you will learn from this book

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.

Approach

Friendly, practical tutorial with lots of hints and tips from several experienced Solr users and developers.

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.