Mastering Elasticsearch 5.x - Third Edition

Bharvi Dixit

• Publisher: Packt Publishing
• Year: 2017
• ISBN:
  9781786468871
• Edition: 3
• Topic: Computer Science
• Subtopic: Data Warehousing
• Index: Computer Science

Master the intricacies of Elasticsearch 5 and use it to create flexible and scalable search solutionsAbout This Book• Master the searching, indexing, and aggregation features in ElasticSearch• Improve users' search experience with Elasticsearch's functionalities and develop your own Elasticsearch plugins• A comprehensive, step-by-step guide to master the intricacies of ElasticSearch with easeWho This Book Is ForIf you have some prior working experience with Elasticsearch and want to take your knowledge to the next level, this book will be the perfect resource for you.If you are a developer who wants to implement scalable search solutions with Elasticsearch, this book will also help you. Some basic knowledge of the query DSL and data indexing is required to make the best use of this book.What You Will Learn• Understand Apache Lucene and Elasticsearch 5's design and architecture• Use and configure the new and improved default text scoring mechanism in Apache Lucene 6• Know how to overcome the pitfalls while handling relational data in Elasticsearch• Learn about choosing the right queries according to the use cases and master the scripting module including new default scripting language, painlessly• Explore the right way of scaling production clusters to improve the performance of Elasticsearch• Master the searching, indexing, and aggregation features in Elasticsearch• Develop your own Elasticsearch plugins to extend the functionalities of ElasticsearchIn DetailElasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. Elasticsearch leverages the capabilities of Apache Lucene, and provides a new level of control over how you can index and search even huge sets of data.This book will give you a brief recap of the basics and also introduce you to the new features of Elasticsearch 5. We will guide you through the intermediate and advanced functionalities of Elasticsearch, such as querying, indexing, searching, and modifying data. We'll also explore advanced concepts, including aggregation, index control, sharding, replication, and clustering.We'll show you the modules of monitoring and administration available in Elasticsearch, and will also cover backup and recovery. You will get an understanding of how you can scale your Elasticsearch cluster to contextualize it and improve its performance. We'll also show you how you can create your own analysis plugin in Elasticsearch.By the end of the book, you will have all the knowledge necessary to master Elasticsearch and put it to efficient use.Style and approachThis comprehensive guide covers intermediate and advanced concepts in Elasticsearch as well as their implementation. An easy-to-follow approach means you'll be able to master even advanced querying, searching, and administration tasks with ease.

Mastering Elasticsearch 5.x - Third Edition

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Mastering Elasticsearch 5.x - Third Edition

Copyright © 2017 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: October 2013

Second edition: February 2015

Third edition: February 2017

Production reference: 1160217

Published by Packt Publishing Ltd.

Livery Place

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Birmingham

B3 2PB, UK.

ISBN 978-1-78646-018-9

www.packtpub.com

Credits

Author Bharvi Dixit	Copy Editor Safis Editing
Reviewer Marcelo Ochoa	Project Coordinator Nidhi Joshi
Commissioning Editor Amey Varangaonkar	Proofreader Safis Editing
Acquisition Editor Divya Poojari	Indexer Tejal Daruwale Soni
Content Development Editor Cheryl Dsa	Graphics Tania Dutta
Technical Editor Prasad Ramesh	Production Coordinator Nilesh Mohite

About the Author

Bharvi Dixit is an IT professional with extensive experience of working on search servers, NoSQL databases, and cloud services. He holds a master's degree in computer science and is currently working with Sentieo, a USA-based financial data and equity research platform, where he leads the overall platform and architecture of the company spanning across hundreds of servers. At Sentieo, he also plays a key role in the search and data team.

He is also the organizer of Delhi's Elasticsearch Meetup Group, where he speaks about Elasticsearch and Lucene and is continuously building the community around these technologies.

Bharvi also works as a freelance Elasticsearch consultant and has helped more than half a dozen organizations adapt Elasticsearch to solve their complex search problems around different use cases, such as creating search solutions for big data-automated intelligence platforms in the area of counter-terrorism and risk management, as well as in other domains, such as recruitment, e-commerce, finance, social search, and log monitoring.

He has a keen interest in creating scalable backend platforms. His other areas of interests are search engineering, data analytics, and distributed computing. Java and Python are the primary languages in which he loves to write code. He has also built a proprietary software for consultancy firms.

In 2013, he started working on Lucene and Elasticsearch, and in 2016, he authored his first book, Elasticsearch Essentials, which was published by Packt. He has also worked as a technical reviewer for the book Learning Kibana 5.0 by Packt.

You can connect with him on LinkedIn at https://in.linkedin.com/in/bharvidixit or can follow him on Twitter @d_bharvi.

Acknowledgements

This is my second book on Elasticsearch, and I am really fascinated by the love and feedback I got from the readers of my first book, Elasticsearch Essentials. The book you are holding covers Elasticsearch 5.x, the release of Elasticsearch that brings a whole lot of features and improvements to this great search server. Hopefully, after reading this book, you will not only get to know the underlying architecture of Lucene and Elasticsearch, but also posses a command over many advanced concepts, such as scripting, improving cluster performance, writing custom Java-based plugins, and many more.

Now it is time to say thank you.

I would like to thank my family for their continuous support, especially my brother, Patanjali Dixit, who has been a pillar of strength for me at each step throughout my career. I extend my big thanks to Lavleen for the love, support, and encouragement she gave during all those days when I was busy writing this book or solving complex problems at work.

I would like to extend my thanks to the Packt team working on this book, including our technical reviewer. Without their incredible support, the book wouldn't have been as great as it is now.

I would also like to thank all the people I'm working with at Sentieo for all their love and for creating a culture that helps make work more fun. At Sentieo, I extend my special thanks to Atul Shah, who always inspired me to go into the intricacies of Lucene and Elasticsearch and solve some really complex problems using these technologies.

Finally, thanks to Shay Banon for creating Elasticsearch and to all the people who contributed to the libraries and modules published around this project.

Once again, thank you.

About the Reviewer

Marcelo Ochoa works at the system laboratory of Facultad de Ciencias Exactas of the Universidad Nacional del Centro de la Provincia de Buenos Aires and is the CTO at scotas, a company that specializes in near real-time search solutions using Apache Solr and Oracle. He divides his time between university jobs and external projects related to Oracle and big data technologies. He has worked on several Oracle-related projects, such as the translation of Oracle manuals and multimedia CBTs. His background is in database, network, web, and Java technologies. In the XML world, he is known as the developer of the DB Generator for the Apache Cocoon project. He has worked on open source projects such as DBPrism and DBPrism CMS, the Lucene-Oracle integration using the Oracle JVM Directory implementation, and the Restlet.org project, where he worked on the Oracle XDB Restlet Adapter, which is an alternative to writing native REST web services inside a database resident JVM. Since 2006, he has been part of an Oracle ACE program. Oracle ACEs are known for their strong credentials as Oracle community enthusiasts and advocates, with candidates nominated by ACEs in the Oracle technology and applications communities. He has coauthored Oracle Database Programming using Java and Web Services by Digital Press and Professional XML Databases by Wrox Press, and has worked as a technical reviewer for several Packt books, such as Apache Solr 4 Cookbook, ElasticSearch Server, and others.

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