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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

Managing a river

In ElasticSearch, there are two main action-related river setups: creating a river and deleting a river.

Getting ready

You will need a working ElasticSearch cluster.

How to do it...

A river is uniquely defined by a name and type. The river type is the type name defined in the loaded river plugins. After the name and type parameters, a river usually requires an extra configuration that can be passed in the _meta property.

In order to manage a river, perform the following steps:

  1. To create a river (my_river), the HTTP method used is PUT (POST will work, too), as shown here:
    curl -XPUT 'http://127.0.0.1:9200/_river/my_river/_meta' -d '{
      "type" : "dummy"
    }'
    

    Tip

    The dummy type is a fake river, which is always installed in ElasticSearch.

  2. This is how the result will look:
    {"created":true,"_index":"_river","_type":"my_river","_id":"_meta","_version":1}
  3. If you take a look...
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