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Learning Elasticsearch

You're reading from   Learning Elasticsearch Structured and unstructured data using distributed real-time search and analytics

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787128453
Length 404 pages
Edition 1st Edition
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Author (1):
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Abhishek Andhavarapu Abhishek Andhavarapu
Author Profile Icon Abhishek Andhavarapu
Abhishek Andhavarapu
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Table of Contents (11) Chapters Close

Preface 1. Introduction to Elasticsearch FREE CHAPTER 2. Setting Up Elasticsearch and Kibana 3. Modeling Your Data and Document Relations 4. Indexing and Updating Your Data 5. Organizing Your Data and Bulk Data Ingestion 6. All About Search 7. More Than a Search Engine (Geofilters, Autocomplete, and More) 8. How to Slice and Dice Your Data Using Aggregations 9. Production and Beyond 10. Exploring Elastic Stack (Elastic Cloud, Security, Graph, and Alerting)

Multinode cluster

Elasticsearch is a distributed system, and a cluster contains one or more nodes. In this section, we will discuss how to add a new node to the cluster.

Let's say we have two servers with IP addresses 192.168.0.1 and 192.168.0.2.

Follow the instructions laid down next to start a two-node cluster:

  1. Install Elasticsearch in the first server. Please follow the instructions in the Installing Elasticsearch section in Chapter 2, Setting up Elasticsearch and Kibana.
  2. Open the configuration file in the first server, and make the following changes:
    1. Change the cluster name under the cluster section:
                  cluster.name: es-dev
    1. Change the node name under the node section:
                  node.name: elasticsearch1
    1. Change the host address to bind under the network section:
                  network.host: 192.168.0.1
    1. Set the address...
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