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 Manipulation Examples

Storing and processing documents with fields that contain arrays of sub-documents is an essential aspect of MongoDB. The aggregation framework offers rich operators to process array contents, which is important to avoid performance penalties from needlessly unwinding and regrouping arrays. The aggregation pipeline's ability to handle nested operations makes even the most challenging array manipulation tasks feasible. However, these solutions can sometimes appear complicated. In this chapter, you will learn how to break down array manipulation problems into manageable pieces, streamlining your assembly of solutions.

This chapter will cover the following topics:

  • Generating summaries of array contents, such as highs and lows
  • Sorting and changing the orientation of the contents of arrays
  • Calculating averages and percentiles for arrays
  • Grouping elements of arrays by common keys
  • Joining elements from different array fields together...