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projection-patterns

Design query-ready data from streams of recorded events. The skill guides read models, databases shaped for queries, with practices for replaying events, resuming after failures, and tracking delays in dashboards or search indexes.

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Build read models and projections from event streams. Use when implementing CQRS read sides, building materialized views, or optimizing query performance in event-sourced systems.

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适用场景

  • Build read models for systems that separate reads and writes
  • Create dashboard data from recorded events
  • Build search indexes from event streams
  • Plan read model rebuilds and recovery after failures

包含的文件(2)

  • SKILL.md2.6 KB
  • references/details.md13.9 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

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

TypeDescriptionUse Case
LiveReal-time from subscriptionCurrent state queries
CatchupProcess historical eventsRebuilding read models
PersistentStores checkpointResume after restart
InlineSame transaction as writeStrong 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

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