Handiekar Sachin - Apache Solr for Indexing Data
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Enhance your Solr indexing experience with advanced techniques and the built-in functionalities available in Apache Solr.Apache Solr is a widely used, open source enterprise search server that delivers powerful indexing and searching features. These features help fetch relevant information from various sources and documentation. Solr also combines with other open source tools such as Apache Tika and Apache Nutch to provide more powerful features.This fast-paced guide starts by helping you set up Solr and get acquainted with its basic building blocks, to give you a better understanding of Solr indexing. Youll quickly move on to indexing text and boosting the indexing time. Next, youll focus on basic indexing techniques, various index handlers designed to modify documents, and indexing a structured data source through Data Import Handler.Moving on, you will learn techniques to perform real-time indexing and atomic updates, as well as more advanced indexing techniques such as de-duplication. Later on, well help you set up a cluster of Solr servers that combine fault tolerance and high availability. You will also gain insights into working scenarios of different aspects of Solr and how to use Solr with e-commerce data.By the end of the book, you will be competent and confident working with indexing and will have a good knowledge base to efficiently program elements.What You Will Learn:
Get to know the basic features of Solr indexing and the analyzers/tokenizers available;
Index XML/JSON data in Solr using the HTTP Post tool and CURL command;
Work with Data Import Handler to index data from a database;
Use Apache Tika with Solr to index word documents, PDFs, and much more;
Utilize Apache Nutch and Solr integration to index crawled data from web pages;
Update indexes in real-time data feeds;
Discover techniques to index multi-language and distributed data in Solr;
Combine the various indexing techniques into a real-life working example of an online shopping web application.Learn about distributed indexing and real-time optimization to change index data on fly.
Index data from various sources and web crawlers using built-in analyzers and tokenizers.
This step-by-step guide is packed with real-life examples on indexing data.Who This Book Is For:
This book is for developers who want to increase their experience of indexing in Solr by learning about the various index handlers, analyzers, and methods available in Solr. Beginner level Solr development skills are expected.
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Copyright 2015 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 authors, 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: December 2015
Production reference: 1151215
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78355-323-5
www.packtpub.com
Authors
Sachin Handiekar
Anshul Johri
Reviewers
Damiano Braga
Florian Hopf
Commissioning Editor
Ashwin Nair
Acquisition Editors
Rebecca Pedley
Reshma Raman
Content Development Editor
Rohit Kumar Singh
Technical Editor
Utkarsha S. Kadam
Copy Editor
Vikrant Phadke
Project Coordinator
Mary Alex
Proofreader
Safis Editing
Indexer
Rekha Nair
Production Coordinator
Manu Joseph
Cover Work
Manu Joseph
Sachin Handiekar is a senior software developer with over 5 years of experience in Java EE development. He graduated in computer science from the University of Greenwich, London, and currently works for a global consulting company, developing enterprise applications using various open source technologies, such as Apache Camel, ServiceMix, ActiveMQ, and ZooKeeper.
He has a lot of interest in open source projects and has contributed code to Apache Camel and developed plugins for the Spring Social, which can be found on GitHub at https://github.com/sachin-handiekar.
He also actively writes about enterprise application development on his blog (http://www.sachinhandiekar.com/).
Anshul Johri has more than 10 years of technical experience in software engineering. He did his masters in computer science from the computer science department in the University of Pune. Anshul has always been a start-up mindset guy, working on fast-paced development using cutting-edge technologies and doing multiple things at a time. His core strength has always been search technology, whereby Solr plays an important role in his career. Anshul started using Solr around 9 years ago, and since then, he has never looked back. He did better and better with Solr, whether using it or contributing to the open source search community. He has used Solr extensively in all his organizations across various projects.
As mentioned earlier, Anshul has always been a start-up mindset guy. Because of that, he has worked with many start-ups in his career so far, which includes early-age and mid-size start-ups as well. To name a few, they are Ibibo.com, Asklaila.com, Bookadda.com, and so on. His last company was Amazon, where he spent around 2 years building scalable systems for Amazon Prime (a global product). Anshul recently started his own company in India with another friend from Amazon and founded http://www.rentomo.com/, a unique concept of a peer-to-peer sharing platform in a trusted community. He heads the technology and other core pillars of his own start-up.
Anshul did the technical review of the book Indexing with Solr , published by Packt Publishing.
Damiano Braga is the technical search lead at Trulia, where he leads all the backend search and browsing-related projects. He's also an open source contributor and has participated as a speaker at the Lucene Revolution 2014, where he presented Thoth, a real-time Solr monitoring and search analysis engine. He also previously reviewed the book Apache Solr Search Patterns , Packt Publishing .
Prior to Trulia, Damiano studied and worked for the University of Ferrara (Italy), where he also completed his master's degree in computer science engineering.
Florian Hopf works as a freelance software developer and consultant in Karlsruhe, Germany. He familiarized himself with Lucene-based searching while working with different content management systems on the Java platform. He is responsible for small and large search systems, on both the Internet and Intranet, for web content and application-specific data based on Lucene, Solr, and Elasticsearch. He helps organize the local Java user group as well as the Search Meetup in Karlsruhe. Florian has also written a German book on Elasticsearch. He posts blogs at http://blog.florian-hopf.de/.
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I would like to dedicate this book to my parents, especially my late mother, Anuradha Johri, who has always been my inspiration and my friend for life. After that I would like to thank my wife, Aparna, who is always there with me in every situation no matter how tough it is; she is someone who always makes me feel complete.
Welcome to Apache Solr for Indexing Data . Solr is an amazing enterprise tool that gives us a search engine with various possibilities to index data and gives users a better experience. This book will cover the various indexing methods that we can use to improve the indexing process by covering step-by-step examples.
The book is all about indexing in Solr, and we'll cover all the possible topics in Solr that developers can use in their use cases by following simple examples.
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