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ElasticSearch Cookbook

You're reading from  ElasticSearch Cookbook

Product type Book
Published in Dec 2013
Publisher Packt
ISBN-13 9781782166627
Pages 422 pages
Edition 1st Edition
Languages
Author (1):
Alberto Paro Alberto Paro
Profile icon Alberto Paro

Table of Contents (19) Chapters

ElasticSearch Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Getting Started Downloading and Setting Up ElasticSearch Managing Mapping Standard Operations Search, Queries, and Filters Facets Scripting Rivers Cluster and Nodes Monitoring Java Integration Python Integration Plugin Development Index

Using the geo_distance filter


When you are working with geo locations, one of the common tasks is to filter results based on its distance from a location. The geo_distance filter is used to achieve this goal.

Getting ready

You need a working ElasticSearch cluster and the data populated with the geo populate script.

How to do it...

Searching documents in which pin.location is 200km distant from the lat value 40 and the lon value 70, is done using a similar query as follows:

curl -XGET 'http://127.0.0.1:9200/test-mindex/_search -d '{
    "query": {
        "filtered": {
            "filter": {
                "geo_distance": {
                    "pin.location": {
                        "lat": 40,
                        "lon": 70
                    },
                    "distance": "200km",
                    "optimize_bbox": "memory"
                }
            },
            "query": {
                "match_all": {}
            }
        }
    }
}'

How it works...

As we discussed in the...

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