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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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Toc

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

Executing the range aggregation


The previous recipe describes an aggregation type that can be very useful if a bucket must be computed on terms or on a limited number of items. Otherwise, it's often required to return the buckets that are aggregated in ranges—the range aggregation answers this requirement. The commons scenarios in which this aggregation can be used are:

  • Price ranges (used in shops)

  • Size ranges

  • Alphabetical ranges

Getting ready

You need a working ElasticSearch cluster and an index populated with the script (chapter_06/executing_range_aggregations.sh) available at https://github.com/aparo/elasticsearch-cookbook-second-edition.

How to do it...

To execute range aggregations, we will perform the steps given as follows:

  1. We want to provide three types of aggregation ranges, as follows:

    • Price aggregation: This method aggregates the price of the items in a range

    • Age aggregation: This method aggregates the age contained in a document in four ranges of 25 years

    • Date aggregation: This method aggregates...

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