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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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Toc

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)

How nodes discover each other

Zen discovery is the discovery module used by Elasticsearch. Since Elasticsearch is a distributed system, you can think of this module as a glue that keeps the cluster together. Cluster management and failure detection are handled automatically by Elasticsearch.

In the configuration file, there is a discovery section dedicated to zen discovery. One of the settings in the discovery section is discovery.zen.ping.unicast.hosts. This setting is a list of other hosts Elasticsearch is running, so that the node can join the existing nodes to form a cluster. When we start the elasticsearch2 instance, this instance will first try to ping the hosts in discovery.zen.ping.unicast.hosts. It will scan the ports 9300 to 9305 and find elasticsearch1 running at 192.168.0.1:9300. (Note that 9300 is the port for internal communication, 9200 is the HTTP server.) To join...

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