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Apache Solr Search Patterns

You're reading from   Apache Solr Search Patterns Leverage the power of Apache Solr to power up your business by navigating your users to their data quickly and efficiently

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Product type Paperback
Published in Apr 2015
Publisher
ISBN-13 9781783981847
Length 316 pages
Edition 1st Edition
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Author (1):
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Jayant Kumar Jayant Kumar
Author Profile Icon Jayant Kumar
Jayant Kumar
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Table of Contents (17) Chapters Close

Apache Solr Search Patterns
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Solr Indexing Internals FREE CHAPTER 2. Customizing the Solr Scoring Algorithm 3. Solr Internals and Custom Queries 4. Solr for Big Data 5. Solr in E-commerce 6. Solr for Spatial Search 7. Using Solr in an Advertising System 8. AJAX Solr 9. SolrCloud 10. Text Tagging with Lucene FST Index

Indexing for spatial search


Now that we know the features supported by Solr for spatial search, let us see how indexing should be done for spatial search. We will need to index the coordinates for point, circle, rectangle, and other spatial representations in Solr as documents before we execute a search for them. Every geographical point is represented as latitude and longitude with the format lat,lon.

We saw points being indexed in the last section in our location.csv file. They are indexed in the lat,lon format:

<field name="store">28.570485,77.324713</field>

The points can be indexed in the lat-lon format by omitting the comma:

<field name="store">28.570485 77.324713</field>

We saw that Solr also supports different geometrical shapes such as rectangle, circle, and polygon. Let us learn how to index these.

In order to index a rectangle, we need the two points that form the starting and the ending points of the rectangle. Consider a two-dimensional coordinate system with...

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