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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 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

Computing return fields with scripting

ElasticSearch allows you to define complex expressions that can be used to return a new calculated field value. These special fields are called script_fields, and they can be expressed with a script in every available ElasticSearch scripting language.

Getting ready

You will need a working ElasticSearch cluster and an index populated with the script (chapter_06/populate_aggregations.sh) used in Chapter 6, Aggregations, which is available at https://github.com/aparo/elasticsearch-cookbook-second-edition.

How to do it...

In order to compute return fields with scripting, perform the following steps:

  1. Return the following script fields:
    • "my_calc_field": This concatenates the text of the "name" and "description" fields
    • "my_calc_field2": This multiplies the "price" value by the "discount" parameter
  2. From the command line, execute the following code:
    curl -XGET 'http://127.0.0.1:9200/test-index/test-type...
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