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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 child document


In the previous recipe, we have seen how it's possible to manage relations between objects with the nested object type. The disadvantage of nested objects is their dependence from their parent. If you need to change a value of a nested object, you need to reindex the parent (this brings a potential performance overhead if the nested objects change too quickly). To solve this problem, Elasticsearch allows defining child documents.

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...

We can modify the mapping of the order example indexing the items as separated child documents.

We need to extract the item object and create a new type document item with the _parent property set.

{ 
    "order": { 
        "properties": { 
            "id": { 
                "type": "keyword", 
                "store": "yes" 
...
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