Download Ebook Elasticsearch: The Definitive Guide: A Distributed Real-Time Search and Analytics Engine
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Elasticsearch: The Definitive Guide: A Distributed Real-Time Search and Analytics Engine
Download Ebook Elasticsearch: The Definitive Guide: A Distributed Real-Time Search and Analytics Engine
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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.
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Product details
Paperback: 724 pages
Publisher: O'Reilly Media; 1 edition (February 7, 2015)
Language: English
ISBN-10: 1449358543
ISBN-13: 978-1449358549
Product Dimensions:
7 x 1.4 x 9.2 inches
Shipping Weight: 2.6 pounds (View shipping rates and policies)
Average Customer Review:
4.1 out of 5 stars
30 customer reviews
Amazon Best Sellers Rank:
#171,513 in Books (See Top 100 in Books)
Great book, but its out of date at this point. Autocomplete is one of the most interesting applications of ElasticSearch and it outlines an out of date method of implementation using edge n-grams rather than the suggestion API. ElasticSearch 5.0 is also out with some nice new features and greatly improved performance, so I might advise people to wait on a new edition.
This book is great! Some of the examples might be out-of-date, but a quick search can find SO answers on syntax changes. Buy this book for the commentary. The authors do a wonderful job of adding color to many of Elastic's features and design choices. I'd recommend it to anyone who wants to learn the Elastic stack, even today. It's thick due to JSON in the examples taking up space, but it is a relatively fast read.
This book begins assuming all you know about Elasticsearch is the name, but the final chapters include deep wisdom about creating and tuning multi-node clusters. There are a lot of technical books that are long on fluff and examples, but short on the gritty details an architect needs to know, but that is not a problem with this book.Strong recommend on this, absolutely delighted it's on my book shelf.
At work we are planning to use elastic search for some of our use cases. Having no background on search I turned onto this book.What I’ve liked about this book is that it sets you up nicely. Starts easy with plenty of examples/code snippets while also covering the underlying concepts and pitfalls without overwhelming the reader.The only disappointing piece for me was that this book didn’t covered some key features getting deprecated in 6.0 release. And that has a major impact on the way you design your indexes. One such feature is mapping type, thankfully one of coworker read it somewhere and after doing some research it was confirmed and we had to rework on our design. My recommendation will be to wait until they have new edition that covers 6.0 release before buying.Overall a good reference book to have for elastic search.
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.
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.
This is a fine book. It saved my bacon.I'm a database developer, expert in Oracle, SQL Server, and MySQL. But I knew nothing of Elasticsearch. When my boss wanted a product catalog database moved from MySQL to Elasticsearch I needed help. This book was just the ticket.
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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