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

Embrace composability for increased productivity

An aggregation pipeline is an ordered series of instructions, called stages. The entire output of one stage forms the whole input of the next stage, and so on—without any side effects. Pipelines exhibit high composability, where stages are stateless, self-contained components selected and assembled in various combinations (pipelines) to satisfy specific requirements. This property of aggregation pipelines makes iterative prototyping possible, with straightforward testing after each increment.

With MongoDB aggregations, you can take a complex problem, requiring a complex aggregation pipeline, and break it down into straightforward individual stages, where each step can be developed and tested in isolation. To better comprehend composability, it may be helpful to memorize the following visual model, in Figure 2.1:

Figure 2.1: Aggregation pipeline model

Suppose you have two pipelines with each pipeline...