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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

Data analysis using pivot faceting


As per the definition of pivoting in the Solr wiki, it is a summarization tool that lets you automatically sort, count, total, or average data stored in a table. Pivot faceting lets you create a summary table of the results from a query across numerous documents.

The output of pivot faceting can be referred to as decision trees. This means the output of pivot faceting is represented by a hierarchy of all sub-facets under a facet with counts both for individual facets and sub-facets. We can constrain the previous facet with a new sub-facet and get counts of the sub-sub-facets inside it. Let us see an example to understand pivot faceting.

Facet A has constraints as X,Y with counts M for X and N for Y. We could go ahead and constrain facet A by X and get a new sub-facet B with constraints W,Z and counts O for W and P for Z.

To understand better how pivot faceting works and hence how it could be helpful in analytics, let us see an example. Our index contains some...

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