Practical MongoDB Aggregations: The official guide to developing optimal aggregation pipelines with MongoDB 7.0

Cover Page....2

Table of Contents....3

Preface....4

Chapter 1: MongoDB Aggregations Explained....12

What is the MongoDB aggregation framework?....12

What is the MongoDB aggregation language?....14

What do developers use the aggregation framework for?....16

A short history of MongoDB aggregations....18

Getting going....21

Getting further help....26

Summary....27

Part 1: Guiding Tips and Principles....29

Chapter 2: Optimizing Pipelines for Productivity....30

Embrace composability for increased productivity....30

Better alternatives for a projection stage....36

Summary....43

Chapter 3: Optimizing Pipelines for Performance....44

Using explain plans to identify performance bottlenecks....44

Guidance for optimizing pipeline performance....51

Summary....64

Chapter 4: Harnessing the Power of Expressions....65

Aggregation expressions explained....65

What do expressions produce?....68

Can all stages use expressions?....70

Advanced use of expressions for array processing....73

Summary....96

Chapter 5: Optimizing Pipelines for Sharded Clusters....98

A brief summary of MongoDB sharded clusters....98

Sharding implications for pipelines....100

Where does a sharded aggregation run?....101

Performance tips for sharded aggregations....110

Summary....111

Part 2: Aggregations by Example....113

Chapter 6: Foundational Examples: Filtering, Grouping, and Unwinding....114

Filtered top subset....114

Group and total....119

Unpack arrays and group differently....124

Distinct list of values....129

Summary....133

Chapter 7: Joining Data Examples....134

One-to-one join....134

Multi-field join and one-to-many....139

Summary....145

Chapter 8: Fixing and Generating Data Examples....146

Strongly typed conversion....146

Converting incomplete date strings....151

Generating mock test data....158

Summary....165

Chapter 9: Trend Analysis Examples....167

Faceted classification....167

Largest graph network....176

Incremental analytics....180

Summary....188

Chapter 10: Securing Data Examples....189

Redacted view....189

Mask sensitive fields....197

Role programmatic restricted view....204

Summary....213

Chapter 11: Time-Series Examples....214

IoT power consumption....214

State change boundaries....224

Summary....232

Chapter 12: Array Manipulation Examples....233

Summarizing arrays for first, last, minimum, maximum, and average values....233

Pivoting array items by a key....238

Array sorting and percentiles....243

Array element grouping....252

Array fields joining....259

Comparison of two arrays....263

Jagged array condensing....272

Summary....279

Chapter 13: Full-Text Search Examples....280

What is Atlas Search?....280

Compound text search criteria....281

Facets and counts text search....287

Summary....294

Afterword....295

Index....296

Why subscribe?....301

Other books you may enjoy....303

Packt is searching for authors like you....304

Download a free PDF copy of this book....304

Appendix....306

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.

What you will learn

• Develop dynamic aggregation pipelines tailored to changing business requirements
• Master essential techniques to optimize aggregation pipelines for rapid data processing
• Achieve optimal efficiency for applying aggregations to vast datasets with effective sharding strategies
• Eliminate the performance penalties of processing data externally by filtering, grouping, and calculating aggregated values directly within the database
• Use pipelines to help you secure your data access and distribution

Who this book is for

This book is for intermediate-level developers, architects, analysts, engineers, and data scientists who are interested in learning about aggregation capabilities in MongoDB. Working knowledge of MongoDB is needed to get the most out of this book.