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Elasticsearch 8.x Cookbook

You're reading from   Elasticsearch 8.x Cookbook Over 180 recipes to perform fast, scalable, and reliable searches for your enterprise

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Product type Paperback
Published in May 2022
Publisher Packt
ISBN-13 9781801079815
Length 750 pages
Edition 5th 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 (20) Chapters Close

Preface 1. Chapter 1: Getting Started 2. Chapter 2: Managing Mappings FREE CHAPTER 3. Chapter 3: Basic Operations 4. Chapter 4: Exploring Search Capabilities 5. Chapter 5: Text and Numeric Queries 6. Chapter 6: Relationships and Geo Queries 7. Chapter 7: Aggregations 8. Chapter 8: Scripting in Elasticsearch 9. Chapter 9: Managing Clusters 10. Chapter 10: Backups and Restoring Data 11. Chapter 11: User Interfaces 12. Chapter 12: Using the Ingest Module 13. Chapter 13: Java Integration 14. Chapter 14: Scala Integration 15. Chapter 15: Python Integration 16. Chapter 16: Plugin Development 17. Chapter 17: Big Data Integration 18. Chapter 18: X-Pack 19. Other Books You May Enjoy

Chapter 6: Relationships and Geo Queries

In this chapter, we will explore special queries that can be used to search for relationships between Elasticsearch and geolocation documents.

When we have a parent-child relationship (based on a join field mapping), we can use special queries to query for a similar relationship. Elasticsearch doesn't provide a SQL join, but it lets you search child/parent-related documents; it makes it possible to retrieve child documents via parent selection or by matching parent documents and filtering them by their children. Elasticsearch is very powerful tool and can help resolve many common data relationship issues. It is also used to easily solve issues in traditional relational databases. These features, in my experience, aren't popular among new Elasticsearch users but are valuable if you manage intelligence data sources.

In this chapter, we will also look at how to query nested objects using...

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