Elasticsearch: The Definitive Guide: A Distributed Real-Time Search and Analytics Engine 1st Edition, Kindle Edition

3.8 out of 5 stars 22 customer reviews

ISBN-13: 978-1449358549
ISBN-10: 1449358543
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Editorial Reviews

About the Author

Clinton Gormley was the first user of Elasticsearch and wrote the Perl API back in 2010. When Elasticsearch formed a company in 2012, he joined as a developer and the maintainer of the Perl modules. Now Clinton spends a lot of his time designing the user interfaces and speaking and writing about Elasticsearch. He studied medicine at UCT in Cape Town and lives in Barcelona.

Zachary Tong has been working with Elasticsearch since 2011. During that time, he has written a number of tutorials to help beginners start using Elasticsearch. Zach is now a developer at Elasticsearch and maintains the PHP client, gives trainings and helps customers manage clusters in production. He studied biology at Rensselaer Polytechnic Institute and now lives in South Carolina.


Product Details

  • File Size: 3803 KB
  • Print Length: 724 pages
  • Simultaneous Device Usage: Unlimited
  • Publisher: O'Reilly Media; 1 edition (January 23, 2015)
  • Publication Date: January 22, 2015
  • Sold by: Amazon Digital Services LLC
  • Language: English
  • ASIN: B00SLXVBC4
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Lending: Not Enabled
  • Enhanced Typesetting: Not Enabled
  • Amazon Best Sellers Rank: #167,621 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Customer Reviews

Top Customer Reviews

By Joshua Davies VINE VOICE on April 7, 2015
Format: Paperback
I recently had to get up to speed on elastic search quickly, and I'm very glad I chose this book to do it. The first part of the book - about a hundred and fifty pages or so - cover what you really need to know. After that, topics are revisited in exacting detail and organized so that you can find what you need to know when you need to know it. Although most of the book covers usage - i.e. from a developer's perspective - administrator concerns are discussed in depth as well along the way. One word of warning - all of the examples use the curl (web) interface, rather than any of the client interfaces such as the Java or Python interfaces, which is likely how you'll be using it. This is a good, language-agnostic way to present the material, but be aware that you'll have to go back and read the online documentation to learn how to work with your client language of choice. However, after having finished this book, I had no trouble understanding the online reference documentation to do so.
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Format: Kindle Edition Verified Purchase
While a lot of the content comes from the documentation, it's organized in a much more organic fashion. The book covers everything from the underlying distribute system internals to design to sophisticated querying to administration/maintenance. If you're using elasticsearch, and you're serious about it, get this book.
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Format: Paperback
I've read several books on Elasticsearch but this one is by far the best. I enjoyed reading every section of every chapter, and went back to correct what I was doing wrong for the last two years. Wish I'd had this book from the beginning!
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Format: Paperback
The official reference documentation is really excellent : clear explanation, useful examples, but as a reference documentation, a lot of details are presented right from the start, with numerous repetitions that it can become annoying to read it. This book is different. As the title suggests, this book will guide you from novice to expert through a really well-written book.

Part 1 covers the basic tools in just enough detail to allow you to start using Elasticsearch. Each concept is introduced progressively, before being developed in its own chapter later in the book for a smoother learning experience.

Part 2 and 3 highlight the complexity of searching, providing the right balance between theory and practice. Each of the topics covered such as stemming, synonyms, multilingual, is perfectly illustrated with clear real-world examples.

Part 4 dives into an important subject by presenting the aggregations, the feature on which Kibana is build (Kibana is not described in this book), while Part 5 ends the tour of Elasticsearch features with an really useful and powerful one: the geolocation.

Part 6 discusses best practices, so at the end of this book, you will have a solid understanding of search theory and how to model your documents efficiently in Elasticsearch to face the challenges of searching semi-structured data. A must-read for developers!

What I preferred the most is the numerous optional chapters to dive into the inner working of Elasticsearch. The richly illustrated explanations of the scoring calculation are a must! This is exactly why I prefer read lengthy book over often more concise official documentation. A highly successful technical book!.

Please not that the book is published in Creative Commons licence and an updated edition covering the version 2.x is available from the official site along the reference documentation.
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Format: Paperback
I've read the online version of this book. It explains all essential parts of the elasticsearch in simple and elegant manner. And, the book has supplemental chapters if you want to know some topics in more detail, for example, how clusters work inside the elasticsearch. You don't need any other book if you have this.
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There is plenty of relevant Elasticsearch information provided in this book. There are sections that explain in greater depth the behind-the-scenes activities. The reader is made aware of which material is primary knowledge and which parts are supplemental.
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While the writing and explanations were often great, several of the code examples are no longer current. For example, the examples in the first chapter helping you enable the Marvel plugin don't work (the syntax was updated over a year ago.) Granted, the examples used in the book are for ElasticSearch 4.? whereas I'm working with 5.5, but I expected an update so I could follow along with the examples without having to break to understand changes.

The book mentions that ElasticSearch's RESTful API can be accessed using tools from largely every language (eg Python), but makes no mention of issues that come from using python's "requests" library. A section on language-specific implementation (if only a brief primer on the use of ElasticSearch's wonderful Python library) would have been helpful while retaining the language independence that the book is right to pursue.

All of these would normally be "nice-to-have" features, but I expected a bit more given how I kept having to refer back to the official documentation as I read.
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Format: Kindle Edition Verified Purchase
Awesome book! After going through it you complete understand architecture of ES and you are ready to design large scale scearch engines/data stores and mange them. I would strongly recommend to read this book before running ES in production
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