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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

Executing the geo distance aggregation

Among the other standard types that we have seen in previous aggregations, ElasticSearch allows executing aggregations against a geo point: geo distance aggregations. This is an evolution of the previously discussed range aggregations built to work on geo locations.

Getting ready

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

How to do it...

Using the position field available in documents, we will aggregate the other documents in four ranges:

  • Fewer than 10 kilometers
  • From 10 to 20 kilometers
  • From 20 to 50 kilometers
  • From 50 to 100 kilometers
  • Above 100 kilometers

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

  1. To achieve these goals, we will create a geo distance aggregation with a code similar to this one:
    curl -XGET 'http://127.0.0.1:9200/test-index/test-type/_search?pretty...
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