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Elasticsearch 5.x Cookbook

You're reading from   Elasticsearch 5.x Cookbook Distributed Search and Analytics

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Product type Paperback
Published in Feb 2017
Publisher
ISBN-13 9781786465580
Length 696 pages
Edition 3rd 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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Table of Contents (25) Chapters Close

Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface
1. Getting Started FREE CHAPTER 2. Downloading and Setup 3. Managing Mappings 4. Basic Operations 5. Search 6. Text and Numeric Queries 7. Relationships and Geo Queries 8. Aggregations 9. Scripting 10. Managing Clusters and Nodes 11. Backup and Restore 12. User Interfaces 13. Ingest 14. Java Integration 15. Scala Integration 16. Python Integration 17. Plugin Development 18. Big Data Integration

Managing mappings include the mapping


After creating an index, the next step is to add some type mappings to it. We have already seen how to include a mapping via the REST API in Chapter 4, Basic Operations.

Getting ready

You need an up-and-running Elasticsearch installation, as we described in the Downloading and installing Elasticsearch recipe in Chapter 2, Downloading and Setup.

You also need the Python installed packages of Creating a client recipe of this chapter.

The code for this recipe is in the chapter_16/mapping_management.py file.

How to do it…

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

  1. Create a mapping.

  2. Retrieve a mapping.

These steps are easily managed with the following code:

  1. We initialize the client:

            import elasticsearch
            es = elasticsearch.Elasticsearch()
    
  2. We create an index:

            index_name = "my_index"
            type_name = "my_type"
            if es.indices.exists(index_name):
       ...
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