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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

Storing data outside of Solr index


Although Solr allows us to use the partial update API to update a single field of our document, what it does in the background is the complete reindexing of a document. However, there are situations where such reindexing is not possible. For example, we can have an index containing articles about published books, and we can store the information on how many users visited this article and read it. The number of users is so high that we have thousands of updates per second. Sending a high amount of updates can be demanding for Solr; however, we can store such information in external files and use it for boosting or sorting. This recipe will show how to do this.

How to do it...

The following steps are needed to achieve our requirements:

  1. First of all, we will create the index structure by adding the following field definition to our schema.xml file:

    <field name="name" type="text_general" indexed="true" stored="true" />
    <field name="visits" type="visitsType...
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