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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

Transforming data when using DIH


Data that is stored in our data source is not always in a form we would like it to be indexed in our Solr cluster. For example, imagine that you want to split the first and second names into two fields during indexing because these two reside in a single column in the database and are separated by a whitespace character. Of course, we can modify our database, but in most cases this is not possible. Can we do this? Of course we can, we just need to add some more configuration details to the Data Import Handler configuration. This recipe will show you how to do this.

Getting ready

Refer to the Indexing data from a database using Data Import Handler recipe in this chapter.

How to do it...

We will reuse the data from the Indexing data from a database using Data Import Handler recipe in this chapter. So, to select users from our table, we use the following SQL query:

SELECT user_id, user_name FROM users

The response in the text client looks as follows:

| user_id | user_name...
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