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Elasticsearch 5.x Cookbook - Third Edition

You're reading from  Elasticsearch 5.x Cookbook - Third Edition

Product type Book
Published in Feb 2017
Publisher
ISBN-13 9781786465580
Pages 696 pages
Edition 3rd Edition
Languages
Author (1):
Alberto Paro Alberto Paro
Profile icon Alberto Paro

Table of Contents (25) Chapters

Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface
1. Getting Started 2. Downloading and Setup 3. Managing Mappings 4. Basic Operations 5. Search 6. Text and Numeric Queries 7. Relationships and Geo Queries 8. Aggregations 9. Scripting 10. Managing Clusters and Nodes 11. Backup and Restore 12. User Interfaces 13. Ingest 14. Java Integration 15. Scala Integration 16. Python Integration 17. Plugin Development 18. Big Data Integration

Mapping a GeoPoint field


Elasticsearch natively supports the use of geolocation types: special types that allow localizing your document in geographic coordinates (latitude and longitude) around the world.

There are two main types used in geographic world: the point and the shape. In this recipe, we'll see geo point--the base element of geo location.

Getting ready

You need an up-and-running Elasticsearch installation as we described in the Downloading and installing Elasticsearch recipe in Chapter 2, Downloading and Setup.

How to do it...

The type of the field must be set to geo_point to define a GeoPoint.

We can extend the order example adding a new field that stores the location of a customer. This will be the result:

{ 
    "order": { 
        "properties": { 
            "id": { 
                "type": "keyword", 
                "store": "yes" 
            }, 
            "date": { 
                "type": "date" 
            }, 
        ...
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