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Practical MongoDB Aggregations

You're reading from   Practical MongoDB Aggregations The official guide to developing optimal aggregation pipelines with MongoDB 7.0

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781835080641
Length 312 pages
Edition 1st Edition
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Author (1):
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Paul Done Paul Done
Author Profile Icon Paul Done
Paul Done
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Table of Contents (20) Chapters Close

Preface 1. Chapter 1: MongoDB Aggregations Explained 2. Part 1: Guiding Tips and Principles FREE CHAPTER
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

One-to-one join

Sometimes, you need to join data between two collections, where one document in the first collection maps to one, and only one, document in the second collection. This section provides an example of performing this one-to-one join using the $lookup aggregation stage in MongoDB.

Note

For this example, you require MongoDB version 4.4 or above. This is because you will use the $first array operator introduced in version 4.4.

Scenario

You want to generate a report to list all shop purchases for 2020, showing the product's name and category for each order, rather than the product's ID. To achieve this, you need to take the customer orders collection and join each order record to the corresponding product record in the products collection. There is a many-to-one relationship between both collections, resulting in a one-to-one join when matching an order to a product. The join will use a single field comparison between both sides, based on the product...

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