event-sourcing

Implement event sourcing and CQRS patterns using event stores, aggregates, and projections. Use when building audit trails, temporal queries, or systems requiring full history.

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Event Sourcing

Table of Contents

Overview

Store state changes as a sequence of events rather than the current state, enabling temporal queries, audit trails, and event replay.

When to Use

  • Audit trail requirements
  • Temporal queries (state at any point in time)
  • Event-driven microservices
  • CQRS implementations
  • Financial systems
  • Complex domain models
  • Debugging and analysis
  • Compliance and regulation

Quick Start

Minimal working example:

interface DomainEvent {
  id: string;
  aggregateId: string;
  aggregateType: string;
  eventType: string;
  data: any;
  metadata: {
    userId?: string;
    timestamp: number;
    version: number;
  };
}

interface Aggregate {
  id: string;
  version: number;
}

class EventStore {
  private events: DomainEvent[] = [];

  async appendEvents(
    aggregateId: string,
    expectedVersion: number,
    events: Omit<DomainEvent, "id" | "metadata">[],
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

GuideContents
Event Store (TypeScript)Event Store (TypeScript)
Projections (Read Models)Projections (Read Models)
Event Store with PostgreSQLEvent Store with PostgreSQL
Snapshots for PerformanceSnapshots for Performance

Best Practices

✅ DO

  • Store events immutably
  • Version your events
  • Use optimistic concurrency
  • Create snapshots for performance
  • Use projections for queries
  • Keep events small and focused
  • Include metadata (timestamp, user, etc.)
  • Handle event versioning/migration

❌ DON'T

  • Mutate past events
  • Store current state only
  • Skip concurrency checks
  • Query event store for reads
  • Make events too large
  • Forget about event schema evolution

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