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Learning Elasticsearch

You're reading from  Learning Elasticsearch

Product type Book
Published in Jun 2017
Publisher Packt
ISBN-13 9781787128453
Pages 404 pages
Edition 1st Edition
Languages
Author (1):
Abhishek Andhavarapu Abhishek Andhavarapu
Profile icon Abhishek Andhavarapu

Table of Contents (11) Chapters

Preface 1. Introduction to Elasticsearch 2. Setting Up Elasticsearch and Kibana 3. Modeling Your Data and Document Relations 4. Indexing and Updating Your Data 5. Organizing Your Data and Bulk Data Ingestion 6. All About Search 7. More Than a Search Engine (Geofilters, Autocomplete, and More) 8. How to Slice and Dice Your Data Using Aggregations 9. Production and Beyond 10. Exploring Elastic Stack (Elastic Cloud, Security, Graph, and Alerting)

Handling document relations using parent-child

In Chapter 3, Modeling Your Data and Document Relations, we described how to set the mapping and index parent-child documents. In this section, we will discuss how to query parent-child documents. To manage relationships in Elasticsearch, parent-child and nested mappings are provided. The difference between parent-child and nested is in how the documents are stored. The parent-child documents are costly while querying for the data, and nested documents are costly while indexing data. We discussed the differences in detail in Chapter 3, Modeling your data and Document Relations.

In the previous sections, we indexed product documents for the e-commerce store. In this section, we will use the parent-child relation to index the reviews for the products as the child documents. The product document is the parent document. A new review can...

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