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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

Phrase queries with shingles


Imagine that you have an application that searches within millions of documents that are generated by a law company. One of the requirements is to search boost the documents that have either a search phrase or part of the phrase in their title. So, is it possible to achieve it using Solr? Yes, and this recipe will show you how to do this.

How to do it...

Let's follow these steps to achieve this:

  1. Let's start with our index structure; we configure it by adding the following section to the schema.xml file:

    <field name="id" type="string" indexed="true" stored="true" required="true" />
    <field name="title" type="text_general" indexed="true" stored="true" />
  2. The second step is to create example data that looks like this:

    <doc>
      <field name="id">1</field>
      <field name="title">Financial report 2014</field>
     </doc>
     <doc>
      <field name="id">2</field>
      <field name="title">Financial marketing report 2014...
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