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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

Group and total

This next section provides an example of the most commonly used pattern for grouping and summarizing data from a collection.

Scenario

You need to generate a report to show what each shop customer purchased in 2020. You will group the individual order records by customer, capturing each customer's first purchase date, the number of orders they made, the total value of all their orders, and a list of their order items sorted by date.

Populating the sample data

To start with, drop any old version of the database (if it exists) and then populate a new orders collection with nine order documents spanning 2019-2021, for three different unique customers. Each order record will contain a customer ID, the date of the order, and the dollar total for the order:

db = db.getSiblingDB("book-group-and-total");db.dropDatabase();
// Create index for an orders collection
db.orders.createIndex({"orderdate": -1});
// Insert records into the orders...
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