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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 (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 parsing update processors to parse data


Let's assume that we are running a bookstore, we want to sort our books by the publication date, and run faceting on the number of likes each book gets. However, we get all our data in XML, and we don't have data in the proper format, and so on. The good thing is that we can tell Solr to parse our data property so that we don't have to change what we already have. This recipe will show you how to do this.

Getting ready

Before continuing with this recipe, I suggest reading the Counting the number of fields recipe of this chapter to get used to updating the request processor configuration.

How to do it...

Let's look at the steps we need to take to make data parsing work.

  1. First, we need to prepare our index structure, so we add 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" />
    <field name="published...
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