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Elasticsearch 7.0 Cookbook

You're reading from   Elasticsearch 7.0 Cookbook Over 100 recipes for fast, scalable, and reliable search for your enterprise

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781789956504
Length 724 pages
Edition 4th 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 (19) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Managing Mapping 3. Basic Operations 4. Exploring Search Capabilities 5. Text and Numeric Queries 6. Relationship and Geo Queries 7. Aggregations 8. Scripting in Elasticsearch 9. Managing Clusters 10. Backups and Restoring Data 11. User Interfaces 12. Using the Ingest Module 13. Java Integration 14. Scala Integration 15. Python Integration 16. Plugin Development 17. Big Data Integration 18. Another Book You May Enjoy

Using the has_child query

Elasticsearch does not only support simple unrelated documents, it also lets you define a hierarchy based on parents and children. The has_child query allows you to query for parent documents of children by matching other queries.

Getting ready

As we described in the Downloading and installing Elasticsearch recipe in Chapter 1, Getting Started, you need an up and running Elasticsearch installation to execute the current recipe code.

To execute the code in the following section, any HTTP client can be used. This includes curl (https://curl.haxx.se/), Postman (https://www.getpostman.com/), or other similar versions. I suggest using Kibana console, as this provides the code completion...

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