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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

Executing range facets


The previous recipe describes a facet type that can be very useful if facets are returned on terms or on a limited number of items. Otherwise, it's often required to return the facets aggregated in ranges: the range facets answers this requirement. Common scenarios are:

  • Price range (used in shops)

  • Size range

  • Alphabetical range

Getting ready

You need a working ElasticSearch cluster and an index populated with the script available in the online code.

How to do it...

For executing range facets, we will perform the steps given as follows:

  1. We want to provide three types of facet ranges:

    • Price facet, that aggregates the price of items in ranges

    • Age facet, that aggregates the age contained in document in four ranges of 25 years

    • Date facet, the ranges of 6 months of the previous year and all this year

  2. To obtain this result, we need to execute a similar query:

    curl -XGET 'http://127.0.0.1:9200/test-index/test-type/_search?pretty=true&size=0' -d '{
        "query": {
            "match_all"...
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