Search icon
Subscription
0
Cart icon
Close icon
You have no products in your basket yet
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Practical MongoDB Aggregations

You're reading from  Practical MongoDB Aggregations

Product type Book
Published in Mar 2024
Publisher Packt
ISBN-13 9781835884362
Pages 278 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 element grouping

Grouping data from documents in MongoDB is one of the most common tasks you will use the aggregation framework for. However, sometimes, you only need to group elements in an array field within each document in isolation rather than grouping data from different documents. Let's find out how we can do this efficiently in this example.

Scenario

You want to provide a report for your online game showing the total coin rewards each gaming user has accumulated. The challenge is that the source collection captures each time the game awards a user with a type of coin in a growing array field containing many elements. However, for each gamer, you want to show the total for each coin type in an array instead. An extra complication exists in that you cannot know ahead of time what all the possible coin types can be when developing the solution. For example, the game could introduce different coin types in the future (e.g., tungsten coins).

Populating the sample...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime}