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You're reading from Elasticsearch 7.0 Cookbook Over 100 recipes for fast, scalable, and reliable search for your enterprise

Product type Paperback

Published in Apr 2019

Publisher Packt

ISBN-13 9781789956504

Length 724 pages

Edition 4th Edition

Languages

Java

Tools

Elasticsearch

Concepts

Enterprise Search

Author (1):

Alberto Paro

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Table of Contents (19) Chapters

Preface

1. Getting Started FREE CHAPTER

2. Managing Mapping

3. Basic Operations

4. Exploring Search Capabilities

5. Text and Numeric Queries

6. Relationship and Geo Queries

7. Aggregations

8. Scripting in Elasticsearch

9. Managing Clusters

10. Backups and Restoring Data

11. User Interfaces

12. Using the Ingest Module

13. Java Integration

14. Scala Integration

15. Python Integration

16. Plugin Development

17. Big Data Integration

18. Another Book You May Enjoy

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Using the geo_distance query

When you are working with geo locations, one common task is to filter results based on the distance from a location. This scenario covers very common site requirements, such as the following:

Finding the nearest restaurant within a distance of 20 km
Finding my nearest friends within a range of 10 km

The geo_distance query is used to achieve this goal.

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 using the Kibana...

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Authors (1)

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.

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