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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

Features of spatial search


With Solr, we can combine location-based data with normal text data in our index. This is termed spatial search or geospatial search.

Earlier versions of Solr (Solr 3.x) provided the following features for spatial search:

  • Representation of spatial data as latitude and longitude in Solr

  • Filtering by geofilt and bound box filters

  • Use of the geodist function to calculate distance

  • Distance-based faceting and boosting of results

With Solr 4, the following new features have been introduced in Solr:

  • Support for new shapes: Polygon, LineString, and other new shapes are supported as indexed and query shapes in Solr 4. Shapes other than points, rectangles, and circles are supported via the Java Topology Suite (JTS), an optional dependency that we will discuss later.

  • Indexing multi-valued fields: This is critical for storing the results of automatic place extraction from text using natural language processing techniques, since a variable number of locations will be found for a...

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