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Elasticsearch Server - Third Edition

You're reading from   Elasticsearch Server - Third Edition Leverage Elasticsearch to create a robust, fast, and flexible search solution with ease

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Product type Paperback
Published in Feb 2016
Publisher
ISBN-13 9781785888816
Length 556 pages
Edition 3rd Edition
Languages
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Authors (2):
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Rafal Kuc Rafal Kuc
Author Profile Icon Rafal Kuc
Rafal Kuc
Marek Rogozinski Marek Rogozinski
Author Profile Icon Marek Rogozinski
Marek Rogozinski
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Elasticsearch Cluster FREE CHAPTER 2. Indexing Your Data 3. Searching Your Data 4. Extending Your Querying Knowledge 5. Extending Your Index Structure 6. Make Your Search Better 7. Aggregations for Data Analysis 8. Beyond Full-text Searching 9. Elasticsearch Cluster in Detail 10. Administrating Your Cluster 11. Scaling by Example Index

Preface

Welcome to Elasticsearch Server, Third Edition. This is the third instalment of the book dedicated to yet another major release of Elasticsearch—this time version 2.2. In the third edition, we have decided to go on a similar route that we took when we wrote the second edition of the book. We not only updated the content to match the new version of Elasticsearch, but also restructured the book by removing and adding new sections and chapters. We read the suggestions we got from you—the readers of the book, and we carefully tried to incorporate the suggestions and comments received since the release of the first and second editions.

While reading this book, you will be taken on a journey to the wonderful world of full-text search provided by the Elasticsearch server. We will start with a general introduction to Elasticsearch, which covers how to start and run Elasticsearch, its basic concepts, and how to index and search your data in the most basic way. This book will also discuss the query language, so called Query DSL, that allows you to create complicated queries and filter returned results. In addition to all of this, you'll see how you can use the aggregation framework to calculate aggregated data based on the results returned by your queries. We will implement the autocomplete functionality together and learn how to use Elasticsearch spatial capabilities and prospective search.

Finally, this book will show you Elasticsearch's administration API capabilities with features such as shard placement control, cluster handling, and more, ending with a dedicated chapter that will discuss Elasticsearch's preparation for small and large deployments— both ones that concentrate on indexing and also ones that concentrate on indexing.

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