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Elasticsearch 7.0 Cookbook. - Fourth Edition

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

Product type Book
Published in Apr 2019
Publisher Packt
ISBN-13 9781789956504
Pages 724 pages
Edition 4th Edition
Languages
Concepts
Author (1):
Alberto Paro Alberto Paro
Profile icon Alberto Paro
LinkedIn
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.
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Table of Contents (23) Chapters

Title Page
Copyright and Credits About Packt Contributors Preface Getting Started Managing Mapping Basic Operations Exploring Search Capabilities Text and Numeric Queries Relationship and Geo Queries Aggregations Scripting in Elasticsearch Managing Clusters Backups and Restoring Data User Interfaces Using the Ingest Module Java Integration Scala Integration Python Integration Plugin Development Big Data Integration Another Book You May Enjoy

Executing geo distance aggregations

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

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 the commands, any HTTP client can be used, such as Curl (https://curl.haxx.se/), Postman (https://www.getpostman.com/), or similar. Using the Kibana Console is recommended, as it provides code completion and better...

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Authors (1)

Profile icon Alberto Paro
LinkedIn
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.
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See other products by Alberto Paro

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