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You're reading from  Elasticsearch 7.0 Cookbook. - Fourth Edition

Product typeBook
Published inApr 2019
Reading LevelBeginner
PublisherPackt
ISBN-139781789956504
Edition4th Edition
Languages
Java
Tools
Elasticsearch
Concepts
Enterprise Search
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Author (1)
Alberto Paro
Alberto Paro
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Alberto Paro

Alberto Paro is an engineer, manager, and software developer. He currently works as technology architecture delivery associate director of the Accenture Cloud First data and AI team in Italy. He loves to study emerging solutions and applications, mainly related to cloud and big data processing, NoSQL, Natural language processing (NLP), software development, and machine learning. In 2000, he graduated in computer science engineering from Politecnico di Milano. Then, he worked with many companies, mainly using Scala/Java and Python on knowledge management solutions and advanced data mining products, using state-of-the-art big data software. A lot of his time is spent teaching how to effectively use big data solutions, NoSQL data stores, and related technologies.
Read more about Alberto Paro

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Mapping a GeoPoint field

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

There are two main types that are used in the geographic world: the point and the shape. In this recipe, we'll look at GeoPoint—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 1, Getting Started.

To execute these commands, any HTTP client can be used such as curl (https://curl.haxx.se/), postman (https://www.getpostman.com/), or similar. I suggest...

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Elasticsearch 7.0 Cookbook. - Fourth Edition
Published in: Apr 2019Publisher: PacktISBN-13: 9781789956504
© 2019 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Alberto Paro

Alberto Paro is an engineer, manager, and software developer. He currently works as technology architecture delivery associate director of the Accenture Cloud First data and AI team in Italy. He loves to study emerging solutions and applications, mainly related to cloud and big data processing, NoSQL, Natural language processing (NLP), software development, and machine learning. In 2000, he graduated in computer science engineering from Politecnico di Milano. Then, he worked with many companies, mainly using Scala/Java and Python on knowledge management solutions and advanced data mining products, using state-of-the-art big data software. A lot of his time is spent teaching how to effectively use big data solutions, NoSQL data stores, and related technologies.
Read more about Alberto Paro

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