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Elasticsearch Essentials

You're reading from   Elasticsearch Essentials Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide

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Product type Paperback
Published in Jan 2016
Publisher
ISBN-13 9781784391010
Length 240 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (12) Chapters Close

Preface 1. Getting Started with Elasticsearch FREE CHAPTER 2. Understanding Document Analysis and Creating Mappings 3. Putting Elasticsearch into Action 4. Aggregations for Analytics 5. Data Looks Better on Maps: Master Geo-Spatiality 6. Document Relationships in NoSQL World 7. Different Methods of Search and Bulk Operations 8. Controlling Relevancy 9. Cluster Scaling in Production Deployments 10. Backups and Security Index

Parent-child relationships


Similar to nested types, parent-child relationships also allow you to relate different entities together but they differ in the implementation and behavior. Unlike nested documents, they are not present within the same document, rather parent-child documents are completely separate documents. They follow the one to many relationship principle and allow you to define one type as parent and one or more as the child type.

Creating parent-child mappings

To create a parent-child mapping, you just need to specify which type should be the parent of the child type. You do not need to define anything extra in the parent type mapping but before indexing the data in the child type, you need to specify in the child's mapping who will be its parent.

Let's create a new index, twitter_parent_child:

PUT /twitter_parent_child

Now, put the mapping of the tweets type by specifying that the user will be its parent. This is done using the _parent keyword inside the mapping, but outside...

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