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