Book Image

Elasticsearch Essentials

Book Image

Elasticsearch Essentials

Overview of this book

With constantly evolving and growing datasets, organizations have the need to find actionable insights for their business. ElasticSearch, which is the world's most advanced search and analytics engine, brings the ability to make massive amounts of data usable in a matter of milliseconds. It not only gives you the power to build blazing fast search solutions over a massive amount of data, but can also serve as a NoSQL data store. This guide will take you on a tour to become a competent developer quickly with a solid knowledge level and understanding of the ElasticSearch core concepts. Starting from the beginning, this book will cover these core concepts, setting up ElasticSearch and various plugins, working with analyzers, and creating mappings. This book provides complete coverage of working with ElasticSearch using Python and performing CRUD operations and aggregation-based analytics, handling document relationships in the NoSQL world, working with geospatial data, and taking data backups. Finally, we’ll show you how to set up and scale ElasticSearch clusters in production environments as well as providing some best practices.
Table of Contents (18 chapters)
Elasticsearch Essentials
Credits
About the Author
Acknowledgments
About the Reviewer
www.PacktPub.com
Preface
Index

Geo-shapes


Geo-shapes are completely different from geo-points. Until now we have worked with simple geo-location and rectangle searches. However, with geo-shapes, the sky is the limit. On a map, you can simply draw a line, polygon, or circle and ask Elasticsearch to populate the data according to the co-ordinates of your queries, as seen in the following image:

Let's see some of the most important geo-shapes.

Point

A point is a single geographical coordinate, such as your current location shown by your smart-phone. A point in Elasticsearch is represented as follows:

{
    "location" : {
        "type" : "point",
        "coordinates" : [28.498564, 77.0812823]
    }
}

Linestring

A linestring can be defined in two ways. If it contains two coordinates, it will be a straight line, but if it contains more than two points, it will be an arbitrary path:

{
    "location" : {
        "type" : "linestring",
        "coordinates" : [[-77.03653, 38.897676], [-77.009051, 38.889939]]
    }
}

Circles

A circle...