Practical MongoDB Aggregations
Credits
Advert
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
2.7.
Advanced Use Of Expressions For Array Processing
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.
Redacted View
3.5.2.
Mask Sensitive Fields
3.5.3.
Role Programmatic Restricted View
3.6.
Time-Series Examples
3.6.1.
IoT Power Consumption
3.6.2.
State Change Boundaries
3.7.
Array Manipulation Examples
3.7.1.
Summarising Arrays For First, Last, Min, Max & Average
3.7.2.
Pivot Array Items By A Key
3.7.3.
Array Sorting & Percentiles
3.7.4.
Array Element Grouping
3.7.5.
Array Fields Joining
3.7.6.
Comparison Of Two Arrays
3.8.
Full Text Search Examples
3.8.1.
Compound Text Search Criteria
3.8.2.
Facets And Counts Text Search
4.
Appendices
4.1.
Appendix: Stages Cheatsheet
4.2.
Appendix: Stages Cheatsheet Source
4.3.
Appendix: Create Atlas Search Index
4.4.
Appendix: Book Version History
Light
Rust
Coal
Navy
Ayu
Practical MongoDB Aggregations Book
