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

Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in text, database collection names, folder names, filenames, file extensions, pathnames, dummy URLs, and user input. Here is an example: "When considering the $sort and $group stages, it becomes evident why they have to block."

A block of code is set as follows:

db.persons.find(
    {"vocation": "ENGINEER"},
    {"_id": 0, "vocation": 0, "address": 0},
  ).sort(
    {"dateofbirth": -1}
  ).limit(3);

Bold: Indicates a new term, an important word, or words that you see onscreen. For instance, words in menus or dialog boxes appear in bold. Here is an example: "A MongoDB database, version 4.2 or greater, that is network accessible from your workstation."

Tips or important notes

Appear like this.