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ElasticSearch Cookbook

You're reading from   ElasticSearch Cookbook As a user of ElasticSearch in your web applications you'll already know what a powerful technology it is, and with this book you can take it to new heights with a whole range of enhanced solutions from plugins to scripting.

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Product type Paperback
Published in Dec 2013
Publisher Packt
ISBN-13 9781782166627
Length 422 pages
Edition 1st 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 ElasticSearch 3. Managing Mapping 4. Standard Operations 5. Search, Queries, and Filters 6. Facets 7. Scripting 8. Rivers 9. Cluster and Nodes Monitoring 10. Java Integration 11. Python Integration 12. Plugin Development Index

Managing mappings

After creating an index, the next step is to add some mapping to it. We have already seen how to put a mapping via REST API in Chapter 4, Standard Operations. In this recipe, we will see how to manage mappings via official Python client and PyES.

Getting ready

You need a working ElasticSearch cluster and required packages of the Creating a client recipe of this chapter.

The code of this recipe is in chapter_11/mapping_management.py and chapter_11/mapping_management_pyes.py.

How to do it...

After having initialized a client and created an index, the steps required for managing the indices are as follows:

  • Create a mapping
  • Retrieve a mapping
  • Delete a mapping

These steps are easily managed with code as follows:

  1. We initialize the client as follows:
    import elasticsearch
    
    es = elasticsearch.Elasticsearch()
  2. We create an index as follows:
    index_name = "my_index"
    type_name = "my_type"
    es.indices.create(index_name)
    es.cluster.health(wait_for_status="yellow")
  3. We put...
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