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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 (12) Chapters Close

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

Radius faceting for location-based data


Location-based data can be represented in Solr using latitudes and longitudes. Applications can combine other data with location information to provide more insight into the data pertaining to a certain location. In analytics, location-based data is very important. Whether we are dealing with sales information, statistical information of any kind, or information pertaining to visits to a website, having a location in addition to the numbers that we already have provides an additional insight with a regional perspective.

We will delve into how geospatial searches happen in Solr in Chapter 6, Solr for Spatial Search. For the current chapter, let us understand the different types of location filters available with Solr.

For spatial filters, the following parameters are used in Solr:

  • d: Radial distance in kilometers

  • pt: Center point in the format of latitude and longitude

  • sfield: Refers to a spatial indexed field

Tip

In order to run queries, we would need...

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