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Apache Solr for Indexing Data

You're reading from   Apache Solr for Indexing Data Enhance your Solr indexing experience with advanced techniques and the built-in functionalities available in Apache Solr

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Product type Paperback
Published in Dec 2015
Publisher
ISBN-13 9781783553235
Length 160 pages
Edition 1st Edition
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Author (1):
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Anshul Johri Anshul Johri
Author Profile Icon Anshul Johri
Anshul Johri
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Table of Contents (13) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Understanding Analyzers, Tokenizers, and Filters 3. Indexing Data 4. Indexing Data – The Basic Technique and Using Index Handlers 5. Indexing Data with the Help of Structured Datasources – Using DIH 6. Indexing Data Using Apache Tika 7. Apache Nutch 8. Commits, Real-Time Index Optimizations, and Atomic Updates 9. Advanced Topics – Multilanguage, Deduplication, and Others 10. Distributed Indexing 11. Case Study of Using Solr in E-Commerce Index

Facet searching

In Solr, a facet provides us with a way to arrange the result into categories based on the index terms. For example, in our musicCatalogue, we can arrange the songs based on genre (for example, rock, pop, world music, and so on). This feature is very helpful in e-commerce websites, where we need to see data in a categorical way. Let's see how we can enable faceting in our search queries. There are no special settings needed to get faceting to work in our musicCatalogue example.

Let's open the query browser tab for our musicCatalgoue example from the Solr Admin UI. This time, in the query input fields, we'll enable the facet checkbox and input the genre field in the facet.field textbox, like this:

Facet searching

After clicking on Execute Query, we can see the following JSON output, which will contain a special JSON element. This element will contain facet_counts:

"facet_counts": {
    "facet_queries": {},
    "facet_fields": {
      "genre...
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