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Solr Cookbook - Third Edition

You're reading from   Solr Cookbook - Third Edition Solve real-time problems related to Apache Solr 4.x and 5.0 effectively with the help of over 100 easy-to-follow recipes

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781783553150
Length 356 pages
Edition 3rd Edition
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Author (1):
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Rafal Kuc Rafal Kuc
Author Profile Icon Rafal Kuc
Rafal Kuc
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Toc

Table of Contents (12) Chapters Close

Preface 1. Apache Solr Configuration FREE CHAPTER 2. Indexing Your Data 3. Analyzing Your Text Data 4. Querying Solr 5. Faceting 6. Improving Solr Performance 7. In the Cloud 8. Using Additional Functionalities 9. Dealing with Problems 10. Real-life Situations Index

Getting the number of documents matching the query and subquery


Imagine a situation where you have an application that has a search feature for cars. One of the requirements is not only to show the search results, but also to show the number of cars with the price period chosen by the user. There is also another thing—these queries must be fast because of the number of queries that will be running. Can Solr handle this? The answer is yes. This recipe will show you how to do it.

How to do it...

Let's start with creating an index with a very simple index structure that looks as follows:

  1. Add the following definition to your schema.xml:

    <field name="id" type="string" indexed="true" stored="true" required="true" />
    <field name="name" type="text_general" indexed="true" stored="true" />
    <field name="price" type="float" indexed="true" stored="true" />
  2. Now, let's index the following sample data:

    <add>
     <doc>
      <field name="id">1</field>
      <field name="name"...
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