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ElasticSearch Cookbook - Second Edition

You're reading from   ElasticSearch Cookbook - Second Edition Over 130 advanced recipes to search, analyze, deploy, manage, and monitor data effectively with ElasticSearch

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781783554836
Length 472 pages
Edition 2nd Edition
Languages
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Author (1):
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Alberto Paro Alberto Paro
Author Profile Icon Alberto Paro
Alberto Paro
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Toc

Table of Contents (14) Chapters Close

Preface 1. Getting Started 2. Downloading and Setting Up FREE CHAPTER 3. Managing Mapping 4. Basic Operations 5. Search, Queries, and Filters 6. Aggregations 7. Scripting 8. Rivers 9. Cluster and Node Monitoring 10. Java Integration 11. Python Integration 12. Plugin Development Index

Using the RabbitMQ river

RabbitMQ is a fast message broker that can handle thousands of messages per second. It can be very handy to use in conjunction with ElasticSearch in order to bulk index the records.

The RabbitMQ river plugin is designed for waiting messages that contain a list of bulk operations. When a new message is delivered to RabbitMQ, it's delivered to ElasticSearch via the plugin to be executed.

Getting ready

You will need a working ElasticSearch cluster and a working RabbitMQ instance installed on the same machine as ElasticSearch.

How to do it...

In order to use the RabbitMQ river, perform the following steps:

  1. First, you need to install the RabbitMQ river plugin, which is available on GitHub (https://github.com/elasticsearch/elasticsearch-river-rabbitmq). You can install the river plugin in the usual way:
    bin/plugin -install elasticsearch/elasticsearch-river-rabbitmq/2.3.0
    
  2. This is how the result should look:
    -> Installing elasticsearch/elasticsearch-river-rabbitmq/2.3.0...
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