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Elasticsearch 5.x Cookbook

You're reading from   Elasticsearch 5.x Cookbook Distributed Search and Analytics

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Product type Paperback
Published in Feb 2017
Publisher
ISBN-13 9781786465580
Length 696 pages
Edition 3rd Edition
Languages
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Author (1):
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Alberto Paro Alberto Paro
Author Profile Icon Alberto Paro
Alberto Paro
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Table of Contents (25) Chapters Close

Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface
1. Getting Started FREE CHAPTER 2. Downloading and Setup 3. Managing Mappings 4. Basic Operations 5. Search 6. Text and Numeric Queries 7. Relationships and Geo Queries 8. Aggregations 9. Scripting 10. Managing Clusters and Nodes 11. Backup and Restore 12. User Interfaces 13. Ingest 14. Java Integration 15. Scala Integration 16. Python Integration 17. Plugin Development 18. Big Data Integration

Introduction


Elasticsearch functionalities can be easily integrated in any Java application in several ways, both via a REST API and native ones.

In Java it's easy to call a REST HTTP interface with one of the many of libraries available, such as the Apache HttpComponents client http://hc.apache.org/. In this field there's no such thing as the most used library; typically, developers choose the library that best suits their preferences or that they know very well.

Each JVM language can also use the native protocol (discussed in C) to integrate Elasticsearch with their applications.

Chapter 1, Getting Started is one of the faster protocols available to communicate with Elasticsearch due to many factors such as its binary nature, its fast native serializer or deserializer of the data, its asynchronous approach to communicating, and the hop reduction (native client nodes are able to communicate directly with the node that contains the data without executing the double hop needed in REST calls...

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