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Practical MongoDB Aggregations

You're reading from Practical MongoDB Aggregations The official guide to developing optimal aggregation pipelines with MongoDB 7.0

Product type Paperback

Published in Sep 2023

Publisher Packt

ISBN-13 9781835080641

Length 312 pages

Edition 1st Edition

Languages

JavaScript

Tools

MongoDB

Concepts

Database Programming

Author (1):

Paul Done

View More author details

Table of Contents (20) Chapters

Preface

1. Chapter 1: MongoDB Aggregations Explained

2. Part 1: Guiding Tips and Principles FREE CHAPTER

3. Chapter 2: Optimizing Pipelines for Productivity

4. Chapter 3: Optimizing Pipelines for Performance

5. Chapter 4: Harnessing the Power of Expressions

6. Chapter 5: Optimizing Pipelines for Sharded Clusters

7. Part 2: Aggregations by Example

8. Chapter 6: Foundational Examples: Filtering, Grouping, and Unwinding

9. Chapter 7: Joining Data Examples

10. Chapter 8: Fixing and Generating Data Examples

11. Chapter 9: Trend Analysis Examples

12. Chapter 10: Securing Data Examples

13. Chapter 11: Time-Series Examples

14. Chapter 12: Array Manipulation Examples

15. Chapter 13: Full-Text Search Examples

16. Afterword

17. Index

Why subscribe?

18. Other books you may enjoy

Appendix

Harnessing the Power of Expressions

In this chapter, you will learn about the different types of aggregation expressions, how to combine them, and how they can help you enhance your aggregation pipelines. Using nested expressions can be highly effective for solving complex problems, particularly those involving arrays. Since nesting introduces added complexity, this chapter devotes significant attention to guiding you through the intricacies of crafting composite expressions for array processing.

To summarize, you will learn the following key concepts in this chapter:

Types of aggregation expressions
How to chain expressions together
The power array operators
Conditional comparisons
Techniques for looping through and processing array elements

Let's begin by exploring the various types of aggregation expressions.

The rest of the chapter is locked

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Authors (1)

Paul Done

Paul Done

Paul Done is a Field CTO at MongoDB Inc., having been a Solutions Architect for the past decade at MongoDB. He has previously held roles in various software disciplines, including engineering, consulting, and pre-sales, at companies like Oracle, Novell, and BEA Systems. Paul specializes in databases and middleware, focusing on resiliency, scalability, transactions, event processing, and applying evolvable data model approaches. He spent most of the early 2000s building Java EE (J2EE) transactional systems on WebLogic, integrated with relational databases like Oracle RAC and messaging systems like MQ Series.

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