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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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Table of Contents (18) Chapters Close

Solr Cookbook Third Edition
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
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

Handling typos with n-grams


Sometimes, there are situations where you would like to have some kind of functionality that allows you to give your user the search results even though he made a typo, perhaps even more than one typo. In Solr, there are multiple ways to do this—use the Spellchecker component and try to correct the user's mistake, use fuzzy queries, or use the n-gram approach. This recipe will concentrate on the third approach and show you how to use n-grams to handle user typos.

How to do it...

For this recipe, let's assume that our index is built of four fields: identifier, name, description, and description_ngram, which will be processed with the n-gram filter.

  1. So, let's start with the definition of our index structure that can look like this (we will place the following entries in the schema.xml file):

    <field name="id" type="string" indexed="true" stored="true" required="true" multiValued="false" />
    <field name="name" type="text_general" indexed="true" stored="true"/...
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