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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 FREE CHAPTER 2. Downloading and Setting Up 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 CouchDB river

CouchDB is a NoSQL data store that stores data in the JSON format, similar to ElasticSearch. It can be queried with the map/reduce task and provides the REST API, so every operation can be done via HTTP API calls.

Using ElasticSearch to index and search CouchDB data is very handy, as it extends the CouchDB data store with Lucene's search capabilities.

Getting ready

You will need a working ElasticSearch cluster and a working CouchDB server to connect to.

How to do it...

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

  1. First, you need to install the CouchDB river plugin, which is available on GitHub (https://github.com/elasticsearch/elasticsearch-river-couchdb), and is maintained by the ElasticSearch company. You can install the river plugin in the usual way:
    bin/plugin -install elasticsearch/elasticsearch-river-couchdb/2.0.0
    

    Tip

    Internally, the CouchDB river plugin uses the attachment plugin and JavaScript plugins, and it is a good practice to install...

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