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Elasticsearch 5.x Cookbook - Third Edition

You're reading from  Elasticsearch 5.x Cookbook - Third Edition

Product type Book
Published in Feb 2017
Publisher
ISBN-13 9781786465580
Pages 696 pages
Edition 3rd Edition
Languages
Concepts
Author (1):
Alberto Paro Alberto Paro
Profile icon Alberto Paro
LinkedIn
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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Table of Contents (25) Chapters

Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface
1. Getting Started 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)

Profile icon Alberto Paro
LinkedIn
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.
Read more
See other products by Alberto Paro

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