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Practical MongoDB Aggregations

You're reading from  Practical MongoDB Aggregations

Product type Book
Published in Sep 2023
Publisher Packt
ISBN-13 9781835080641
Pages 312 pages
Edition 1st Edition
Languages
Author (1):
Paul Done Paul Done
Profile icon Paul Done

Table of Contents (20) Chapters

Preface 1. Chapter 1: MongoDB Aggregations Explained 2. Part 1: Guiding Tips and Principles
3. Chapter 2: Optimizing Pipelines for Productivity 4. Chapter 3: Optimizing Pipelines for Performance 5. Chapter 4: Harnessing the Power of Expressions 6. Chapter 5: Optimizing Pipelines for Sharded Clusters 7. Part 2: Aggregations by Example
8. Chapter 6: Foundational Examples: Filtering, Grouping, and Unwinding 9. Chapter 7: Joining Data Examples 10. Chapter 8: Fixing and Generating Data Examples 11. Chapter 9: Trend Analysis Examples 12. Chapter 10: Securing Data Examples 13. Chapter 11: Time-Series Examples 14. Chapter 12: Array Manipulation Examples 15. Chapter 13: Full-Text Search Examples 16. Afterword
17. Index 18. Other books you may enjoy Appendix

Array fields joining

Joining documents between two collections is an aggregation topic you explored extensively in Chapter 7, Joining Data Examples. However, sometimes, you only need to efficiently join two fields within the same document where at least one of the fields is an array. Let's look at how you can achieve this.

Scenario

You are developing a new dating website using a database to hold the profiles of all registered users. For each user profile, you will persist a set of the user's specified hobbies, each with a description of how the user says they conduct their pursuit. Each user's profile also captures what they prefer to do depending on their mood (e.g., happy, sad, chilling, etc.). When you show the user profiles on the website to a person searching for a date, you want to describe how each candidate user conducts their hobbies for each mood to help the person spot their ideal match.

Populating the sample data

First, drop any old versions of...

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