Projection Patterns

Comprehensive guide to building projections and read models for event-sourced systems.

When to Use This Skill

• Building CQRS read models
• Creating materialized views from events
• Optimizing query performance
• Implementing real-time dashboards
• Building search indexes from events
• Aggregating data across streams

Core Concepts

1. Projection Architecture

┌─────────────┐     ┌─────────────┐     ┌─────────────┐
│ Event Store │────►│ Projector   │────►│ Read Model  │
│             │     │             │     │ (Database)  │
│ ┌─────────┐ │     │ ┌─────────┐ │     │ ┌─────────┐ │
│ │ Events  │ │     │ │ Handler │ │     │ │ Tables  │ │
│ └─────────┘ │     │ │ Logic   │ │     │ │ Views   │ │
│             │     │ └─────────┘ │     │ │ Cache   │ │
└─────────────┘     └─────────────┘     └─────────────┘

2. Projection Types

Type	Description	Use Case
Live	Real-time from subscription	Current state queries
Catchup	Process historical events	Rebuilding read models
Persistent	Stores checkpoint	Resume after restart
Inline	Same transaction as write	Strong consistency

Templates and detailed worked examples

Full template library and detailed worked examples live in references/details.md. Read that file when you need the concrete templates.

Best Practices

Do's

• Make projections idempotent - Safe to replay
• Use transactions - For multi-table updates
• Store checkpoints - Resume after failures
• Monitor lag - Alert on projection delays
• Plan for rebuilds - Design for reconstruction

Don'ts

• Don't couple projections - Each is independent
• Don't skip error handling - Log and alert on failures
• Don't ignore ordering - Events must be processed in order
• Don't over-normalize - Denormalize for query patterns