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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 navigation

We've seen previously how Solr provides a facet, by using which we can put indexed data into groups depending on the fields. Let's see how we can improve user experience while selecting the type of music by grouping music into genres.

We can use facet=true to enable faceting of fields, and then use facet.field=genre to return the number of songs that are in each category. The search query will return only the facet data and will look like this:

http://localhost:8983/solr/musicStore/select?q=*%3A*&start=0&rows=0&wt=json&indent=true&facet=true&facet.field=genre

As we're interested in the facet data only, we've specified rows=0. This URL will return us the following data:

{
   "responseHeader":{   },
   "response":{   },
   "facet_counts":{
      "facet_queries":{ },
      "facet_fields":{
         "genre":[
            "Pop", 3,
            "Dance/Electronic...
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