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Elasticsearch 5.x Cookbook

You're reading from   Elasticsearch 5.x Cookbook Distributed Search and Analytics

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Product type Paperback
Published in Feb 2017
Publisher
ISBN-13 9781786465580
Length 696 pages
Edition 3rd Edition
Languages
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Author (1):
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Alberto Paro Alberto Paro
Author Profile Icon Alberto Paro
Alberto Paro
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Table of Contents (25) Chapters Close

Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface
1. Getting Started FREE CHAPTER 2. Downloading and Setup 3. Managing Mappings 4. Basic Operations 5. Search 6. Text and Numeric Queries 7. Relationships and Geo Queries 8. Aggregations 9. Scripting 10. Managing Clusters and Nodes 11. Backup and Restore 12. User Interfaces 13. Ingest 14. Java Integration 15. Scala Integration 16. Python Integration 17. Plugin Development 18. Big Data Integration

Managing nested objects


There is a special type of embedded object, the nested one. This resolves a problem related to Lucene indexing architecture, in which all the fields of embedded objects are viewed as a single object. During search, in Lucene, it is not possible to distinguish values between different embedded objects in the same multivalued array.

If we consider the previous order example, it's not possible to distinguish an item name and its quantity with the same query, as Lucene puts them in the same Lucene document object. We need to index them in different documents and then join them. This "entire trip" is managed by nested objects and nested queries.

Getting ready

You need an up-and-running Elasticsearch installation as we described in the Downloading and installing Elasticsearch recipe in Chapter 2, Downloading and Setup.

How to do it...

A nested object is defined as the standard object with the type nested.

From the example in the Mapping an object recipe, we can change the type...

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