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Elasticsearch 5.x Cookbook

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

Product type Paperback

Published in Feb 2017

Publisher

ISBN-13 9781786465580

Length 696 pages

Edition 3rd Edition

Languages

Java

Tools

Elasticsearch

Concepts

Enterprise Search

Author (1):

Alberto Paro

View More author details

Table of Contents (25) Chapters

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

Creating a native client

There are two ways to create a native client to communicate with an Elasticsearch server:

Creating a transport client: This is a standard client that requires the address and port of nodes to connect to.
Creating a client or coordinating only one node (it's a node that is not a data, master, or ingest node) and get the client from it. This node will appear in the cluster state nodes and can use the discovery capabilities of Elasticsearch to join the cluster (so no node address is required to connect to a cluster). This kind of client can reduce node routing due to knowledge of cluster topology. It can also load Elasticsearch plugins.

In this recipe, we will see how to create these clients.

Getting ready

You need an up-and-running Elasticsearch installation as we described in the Downloading and installing Elasticsearch recipe in Chapter 2, Downloading and Setup

A Maven tool, or an IDE that natively supports it for Java programming such as Eclipse or IntelliJ IDEA, must...

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Authors (1)

Alberto Paro

Alberto Paro

Alberto Paro is an engineer, manager, and software developer. He currently works as technology architecture delivery associate director of the Accenture Cloud First data and AI team in Italy. He loves to study emerging solutions and applications, mainly related to cloud and big data processing, NoSQL, Natural language processing (NLP), software development, and machine learning. In 2000, he graduated in computer science engineering from Politecnico di Milano. Then, he worked with many companies, mainly using Scala/Java and Python on knowledge management solutions and advanced data mining products, using state-of-the-art big data software. A lot of his time is spent teaching how to effectively use big data solutions, NoSQL data stores, and related technologies.

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