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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
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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

Managing mappings

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

Getting ready

You need a working ElasticSearch cluster and the required packages that are used in the Creating a client recipe in this chapter.

The code of this recipe is present in chapter_11/mapping_management.py and chapter_11/mapping_management_pyes.py file, which is available in the code bundle of this book and on GitHub (https://github.com/aparo/elasticsearch-cookbook-second-edition).

How to do it...

After you have initialized a client and created an index, the following actions are available in order to manage the indices:

  • Creating a mapping
  • Retrieving a mapping
  • Deleting a mapping

These steps can be easily managed with the following code:

  1. Use the following code to initialize the client:
    import elasticsearch
    es = elasticsearch.Elasticsearch...
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