Book Image

Practical MongoDB Aggregations

By : Paul Done
Book Image

Practical MongoDB Aggregations

By: Paul Done

Overview of this book

Officially endorsed by MongoDB, Inc., Practical MongoDB Aggregations helps you unlock the full potential of the MongoDB aggregation framework, including the latest features of MongoDB 7.0. This book provides practical, easy-to-digest principles and approaches for increasing your effectiveness in developing aggregation pipelines, supported by examples for building pipelines to solve complex data manipulation and analytical tasks. This book is customized for developers, architects, data analysts, data engineers, and data scientists with some familiarity with the aggregation framework. It begins by explaining the framework's architecture and then shows you how to build pipelines optimized for productivity and scale. Given the critical role arrays play in MongoDB's document model, the book delves into best practices for optimally manipulating arrays. The latter part of the book equips you with examples to solve common data processing challenges so you can apply the lessons you've learned to practical situations. By the end of this MongoDB book, you’ll have learned how to utilize the MongoDB aggregation framework to streamline your data analysis and manipulation processes effectively.
Table of Contents (20 chapters)
2
Part 1: Guiding Tips and Principles
7
Part 2: Aggregations by Example
16
Afterword

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...