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

Summary

In this chapter, you started your journey with basic aggregation expressions. You explored the different types of expressions and how to combine them using nesting to solve complex data transformations. Then you moved on to bootstrapping this knowledge to undertake typically complicated tasks related to mutating arrays and extracting detail from the contents of arrays. There was a particular focus on techniques for looping through array elements efficiently without necessarily having to resort to unwinding and regrouping documents, where you only need to process each document's array in isolation.

The next chapter will enable you to understand the impact of sharding on aggregation pipelines and how to ensure your pipelines run efficiently when your database is sharded.