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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

Using position aware queries


Most of the queries exposed by Lucene and Solr are not position-aware, which means that the query doesn't care about the place in the document where the word comes from. Of course, we have phrase queries that we can use for phrase searching, and even introduce the phrase slop, but this is not always enough. Sometimes, we might want to search for words with their positions in the searched documents. Let's assume that we allow our users to search for book titles and descriptions and specify how these words should be positioned related to each other. Solr provides us with such functionalities, and this recipe will show you how to use them.

How to do it...

Let's start with a simple index structure. For the purpose of this recipe, we will use the following fields:

  1. Add the following sections 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...
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