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ElasticSearch Cookbook - Second Edition

You're reading from   ElasticSearch Cookbook - Second Edition Over 130 advanced recipes to search, analyze, deploy, manage, and monitor data effectively with ElasticSearch

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Product type Paperback
Published in Jan 2015
Last Updated in Feb 2025
Publisher
ISBN-13 9781783554836
Length 472 pages
Edition 2nd 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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Toc

Table of Contents (14) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Downloading and Setting Up 3. Managing Mapping 4. Basic Operations 5. Search, Queries, and Filters 6. Aggregations 7. Scripting 8. Rivers 9. Cluster and Node Monitoring 10. Java Integration 11. Python Integration 12. Plugin Development Index

Introduction

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

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

Each JVM language can also use the native protocol to integrate ElasticSearch with their applications. The native protocol, discussed in Chapter 1, Getting Started, is one of the faster protocols available to communicate with ElasticSearch due to many factors, such as its binary nature, the fast native serializer/deserializer of data, the asynchronous approach for communicating, and the hop reduction (native client nodes are able to communicate directly with the node that contains the data without executing...

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