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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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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

Adding a field with multiple mappings


Often, a field must be processed with several core types or in different ways. For example, a string field must be processed as analyzed for search and as not_analyzed for sorting. To do this, you need to define a multi_field special property called fields.

Note

In the previous ElasticSearch versions (prior to 1.x), there was the multi_field type, but this has now deprecated and will be removed in favor of the fields property.

The fields property is a very powerful feature of mapping because it allows you to use the same field in different ways.

Getting ready

You need a working ElasticSearch cluster.

How to do it...

To define a multifields property, you need to:

  1. Use field as a type – define the main field type, as we saw in the previous sections.

  2. Define a dictionary that contains subfields called fields. The subfield with the same name as the parent field is the default one.

If you consider the item of your order example, you can index the name in this way:

"name...
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