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Steve Perkins - Hibernate Search by Example

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Steve Perkins Hibernate Search by Example
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Explore the Hibernate Search system and use its extraordinary search features in your own applications

Overview

  • Add search capability to your custom applications
  • Integrate with the core Hibernate system, using traditional APIs or JPA
  • Write search queries in no time that may be simple or complex

In Detail

Users expect software to be highly intelligent when searching data. Searches should span across multiple data points at once, and be able to spot patterns and groupings in the results found. Searches should be able to fix user typos, and use terms related to the users search words. Searching is at its best when it pleasantly surprises us, seeming to understand the real gist of what were looking for better than we understood it ourselves! Where can we find such a search system and how can we use it efficiently?

Hibernate Search by Example is a practical, step-by-step tutorial, which guides you from the basics of Hibernate Search to its advanced features. The book builds toward a complete sample application, slowly fleshed out to demonstrate each and every concept being introduced in each chapter. By the end you will have a solid foundation for using Hibernate Search in real production applications.

This book starts with a simple example, and incrementally builds upon it to showcase each Hibernate Search feature introduced. By the end of the book you will have a working, functionality-rich application, and a deeper understanding than you might have had from looking at code snippets in a vacuum.

You will learn how to integrate search into core Hibernate applications, whether they are XML or annotation-based, or if you are using JPA. You will see how to fine-tune the relevance of search results, and design searches that can account for user typos or automatically reach for related terms. We will take advantage of performance optimization strategies, from running Hibernate Search in a cluster to reducing the need for database access at all.

Hibernate Search by Example provides everything you need to know to incorporate search functionality into your own custom applications.

What you will learn from this book

  • Make core Hibernate entity classes searchable, no matter which mapping API they use
  • Write different kinds of search queries by keyword, exact phrase, fuzzy search, or searching within a range
  • Sort search results by various criteria
  • Use pagination to work with and display search results one chunk at a time
  • Define custom analyzers to help searches adjust for user typos and recognize related terms
  • Fine-tune the relevance of search results through boosting
  • Apply conditional indexing logic to exclude certain data from being searchable
  • Make Hibernate Search aware of relationships for searches involving data points spread out over multiple classes

Approach

A step-by-step guide for getting started with Hibernate Search, employing a practical example application that will make readers quickly learn and use the excellent search capabilities that the Hibernate Search tool offers.

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Hibernate Search by Example

Hibernate Search by Example

Copyright 2013 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

First published: March 2013

Production Reference: 1140313

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham B3 2PB, UK..

ISBN 978-1-84951-920-5

www.packtpub.com

Cover Image by J. Blaminsky (<>)

Credits

Author

Steve Perkins

Reviewers

Shaozhuang Liu

Murat Yener

Acquisition Editor

Joanne Fitzpatrick

Commissioning Editor

Meeta Rajani

Technical Editors

Amit Ramadas

Lubna Shaikh

Project Coordinator

Amigya Khurana

Proofreader

Ting Baker

Indexer

Monica Ajmera

Graphics

Sheetal Aute

Production Coordinator

Shantanu Zagade

Cover Work

Shantanu Zagade

About the Author

Steve Perkins is a Java developer based in Atlanta, GA, USA. Steve has been working with Java in the web and systems integration contexts for 15 years, for clients ranging from commerce and finance to media and entertainment. He has been using Hibernate intensively for over seven years, and is interested in best practices for data modeling and application design.

Apart from coding, Steve also has a keen interest in the subject of software patents, which eventually led to a law degree and becoming a licensed attorney. Steve co-authored In the Aftermath of In re Bilski , published in 2009, and In the Aftermath of Bilski v. Kappos , published in 2010, for the Practicing Law Institute Handbook Series .

Steve lives in Atlanta with his wife, Amanda, their son, Andrew, and more musical instruments than he has free time to play. You can visit his website at steveperkins.net and follow him on Twitter at @stevedperkins.

This book is dedicated to my wife, Amanda, for supporting me through the experience of a new baby and a new book all in the same year. We are very grateful for the support and encouragement of all our family and friends.

Thanks to the reviewers and the editorial staff at Packt Publishing. Last but not least, I deeply appreciate every hiring manager whoever took a chance on me. I would have nothing to write about today if it weren't for a handful of key people throwing me into the deep end and letting me swim.

About the Reviewers

Shaozhuang Liu has over seven years of experience in Java EE, and now as a senior member of the Hibernate development team, his main focus is the Hibernate ORM open source project. He's also interested in building cool things based on open source hardware, such as Arduino and Raspberry Pi. When he is not coding, traveling and snowboarding are the two favorite activities he enjoys.

Murat Yener completed his BS and MS degree at Istanbul Technical University. He has taken part in several projects still in use at the ITU Informatics Institute. He has worked for Isbank's Core Banking Exchange project as a J2EE developer. He has also designed and completed several projects still in the market by Muse Systems. He has worked for TAV Airports Information Technologies as an Enterprise Java and Flex developer. He has worked HSBC as the Project Leader responsible for Business Processes and Rich client user interfaces. He is currently employed at Eteration A.S. as Principal Mentor, working on several projects including Eclipse Libra Tools, GWT, and Mobile applications (both on Android and iOS).

He is also leading Google Technology User Group Istanbul since 2009, and is a regular speaker at conferences, such as JavaOne, EclipseCon, EclipsIst, and GDG meetings.

I would like to thank Naci Dai for being my mentor and providing the best work environment, Daniel Kurka for developing mgwt, the best mobile platform I have ever worked on, and Nilay Coskun for all her support.

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Preface

Over the past decade, users have come to expect software to be highly intelligent when searching data. It is no longer enough to simply make searches case-insensitive, look for keywords as substrings, or other such basic SQL tricks.

Today, when a user searches the product catalog on an e-commerce site, he or she expects keywords to be evaluated across all the data points. Whether a term matches the model number of a computer or the ISBN of a book, the search should still find all the possibilities. To help the user sort through a large number of results, the search should be smart enough to somehow rank them by relevance.

A search should be able to parse words and understand how they might be connected. If you search for the word development, then the search should somehow understand that this is related to developer, even though neither of the words is a substring of the other.

Above all else, a search should be nice. When we post something in an online forum and mistake the words "there", "they're", and "their", people might only criticize our grammar. By contrast, a search should simply understand our typos and be cool about it! A search is at its best when it pleasantly surprises us, seeming to understand the real gist of what we're looking for better than we understood it ourselves.

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