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ElasticSearch Cookbook

You're reading from ElasticSearch Cookbook

Product type Book

Published in Dec 2013

Publisher Packt

ISBN-13 9781782166627

Pages 422 pages

Edition 1st Edition

Languages

Concepts

Enterprise Search

Author (1):

Alberto Paro

Table of Contents (19) Chapters

ElasticSearch Cookbook

Credits

About the Author

About the Reviewers

www.PacktPub.com

Preface

1. Getting Started

2. Downloading and Setting Up ElasticSearch

3. Managing Mapping

4. Standard Operations

5. Search, Queries, and Filters

6. Facets

7. Scripting

8. Rivers

9. Cluster and Nodes Monitoring

10. Java Integration

11. Python Integration

12. Plugin Development

Index

Networking setup

Correctly setting up a networking is very important for your node and cluster.

As there are a lot of different install scenarios and networking issues in this recipe we will cover two kinds of networking setups:

Standard installation with autodiscovery working configuration
Forced IP configuration; used if it is not possible to use autodiscovery

Getting ready

You need a working ElasticSearch installation and to know your current networking configuration (that is, IP).

How to do it...

For configuring networking, we will perform the steps as follows:

Open the ElasticSearch configuration file with your favorite text editor.
Using the standard ElasticSearch configuration file (config/elasticsearch.yml), your node is configured to bind on all your machine interfaces and does autodiscovery broadcasting events, that means it sends "signals" to every machine in the current LAN and waits for a response. If a node responds to it, they can join in a cluster.
If another node is available in the...

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Authors (1)

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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