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Elasticsearch 7.0 Cookbook

You're reading from   Elasticsearch 7.0 Cookbook Over 100 recipes for fast, scalable, and reliable search for your enterprise

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781789956504
Length 724 pages
Edition 4th 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 (19) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Managing Mapping 3. Basic Operations 4. Exploring Search Capabilities 5. Text and Numeric Queries 6. Relationship and Geo Queries 7. Aggregations 8. Scripting in Elasticsearch 9. Managing Clusters 10. Backups and Restoring Data 11. User Interfaces 12. Using the Ingest Module 13. Java Integration 14. Scala Integration 15. Python Integration 16. Plugin Development 17. Big Data Integration 18. Another Book You May Enjoy

Java Integration

Elasticsearch functionalities can be easily integrated in any Java application in a couple of ways: via a REST API and via 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 (see http://hc.apache.org/ for more information). In this field, there's no such thing as the most used library; typically, developers choose the library that best suits their preferences or one that they know very well. From Elasticsearch 6.x onward, Elastic has provided a battle low/high-level HTTP for clients to use. In this chapter, we will mainly use these ones for all the examples that are provided.

Each JVM language can also use the native protocol to integrate Elasticsearch with their applications; however, we will not cover this because it has fallen...

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