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ElasticSearch Blueprints

You're reading from   ElasticSearch Blueprints A practical project-based guide to generating compelling search solutions using the dynamic and powerful features of Elasticsearch

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Product type Paperback
Published in Jul 2015
Publisher Packt
ISBN-13 9781783984923
Length 192 pages
Edition 1st Edition
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Toc

Table of Contents (10) Chapters Close

Preface 1. Google-like Web Search 2. Building Your Own E-Commerce Solution FREE CHAPTER 3. Relevancy and Scoring 4. Managing Relational Content 5. Analytics Using Elasticsearch 6. Improving the Search Experience 7. Spicing Up a Search Using Geo 8. Handling Time-based Data Index

Summary


We found that Elasticsearch can handle geo point and various geo-specific operations. A few geospecific and geopoint operations that we covered in this chapter were searching for nearby restaurants (restaurants inside a circle), searching for restaurants within a range (restaurants inside a concentric circle), searching for restaurants inside a city (restaurants inside a rectangle), searching for restaurants inside a polygon, and categorization of restaurants by the proximity. Apart from these, we can use Kibana, a flexible and powerful visualization tool provided by Elasticsearch for geo-based operations.

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