Practical MongoDB Aggregations
Credits
Foreword
Who This Book Is For
1.
Introduction
1.1.
Introducing MongoDB Aggregations
1.2.
History of MongoDB Aggregations
1.3.
Getting Started
1.4.
Getting Help
2.
Guiding Tips & Principles
2.1.
Embrace Composability For Increased Productivity
2.2.
Better Alternatives To A Project Stage
2.3.
Using Explain Plans
2.4.
Pipeline Performance Considerations
2.5.
Expressions Explained
2.6.
Sharding Considerations
3.
Aggregations By Example
3.1.
Foundational Examples
3.1.1.
Filtered Top Subset
3.1.2.
Group & Total
3.1.3.
Unpack Arrays & Group Differently
3.1.4.
Distinct List Of Values
3.2.
Joining Data Examples
3.2.1.
One-to-One Join
3.2.2.
Multi-Field Join & One-to-Many
3.3.
Data Types Conversion Examples
3.3.1.
Strongly-Typed Conversion
3.3.2.
Convert Incomplete Date Strings
3.4.
Trend Analysis Examples
3.4.1.
Faceted Classification
3.4.2.
Largest Graph Network
3.4.3.
Incremental Analytics
3.5.
Securing Data Examples
3.5.1.
Restricted View
3.5.2.
Mask Sensitive Fields
3.6.
Time-Series Examples
3.6.1.
IoT Power Consumption
4.
Appendices
4.1.
Appendix: Stages Cheatsheet
4.2.
Appendix: Stages Cheatsheet Source
4.3.
Appendix: Book Version History
Light (default)
Rust
Coal
Navy
Ayu
Practical MongoDB Aggregations Book
