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event-store-design

Design storage for event sourcing, an approach that records changes as events. Compare database options and plan event ordering, duplicate handling, concurrent writes, and scaling to build a consistent event persistence layer.

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Design and implement event stores for event-sourced systems. Use when building event sourcing infrastructure, choosing event store technologies, or implementing event persistence patterns.

集成工具PostgreSQL
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适用场景

  • Compare event storage technologies
  • Design event schemas and streams
  • Handle concurrent and duplicate writes
  • Plan storage performance and scaling

包含的文件(2)

  • SKILL.md4.1 KB
  • references/details.md11.2 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Event Store Design

Comprehensive guide to designing event stores for event-sourced applications.

When to Use This Skill

  • Designing event sourcing infrastructure
  • Choosing between event store technologies
  • Implementing custom event stores
  • Optimizing event storage and retrieval
  • Setting up event store schemas
  • Planning for event store scaling

Core Concepts

1. Event Store Architecture

┌─────────────────────────────────────────────────────┐
│                    Event Store                       │
├─────────────────────────────────────────────────────┤
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐ │
│  │   Stream 1   │  │   Stream 2   │  │   Stream 3   │ │
│  │ (Aggregate)  │  │ (Aggregate)  │  │ (Aggregate)  │ │
│  ├─────────────┤  ├─────────────┤  ├─────────────┤ │
│  │ Event 1     │  │ Event 1     │  │ Event 1     │ │
│  │ Event 2     │  │ Event 2     │  │ Event 2     │ │
│  │ Event 3     │  │ ...         │  │ Event 3     │ │
│  │ ...         │  │             │  │ Event 4     │ │
│  └─────────────┘  └─────────────┘  └─────────────┘ │
├─────────────────────────────────────────────────────┤
│  Global Position: 1 → 2 → 3 → 4 → 5 → 6 → ...     │
└─────────────────────────────────────────────────────┘

2. Event Store Requirements

RequirementDescription
Append-onlyEvents are immutable, only appends
OrderedPer-stream and global ordering
VersionedOptimistic concurrency control
SubscriptionsReal-time event notifications
IdempotentHandle duplicate writes safely

Technology Comparison

TechnologyBest ForLimitations
EventStoreDBPure event sourcingSingle-purpose
PostgreSQLExisting Postgres stackManual implementation
KafkaHigh-throughput streamingNot ideal for per-stream queries
DynamoDBServerless, AWS-nativeQuery limitations
Marten.NET ecosystems.NET specific

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

  • Use stream IDs that include aggregate type - Order-{uuid}
  • Include correlation/causation IDs - For tracing
  • Version events from day one - Plan for schema evolution
  • Implement idempotency - Use event IDs for deduplication
  • Index appropriately - For your query patterns

Don'ts

  • Don't update or delete events - They're immutable facts
  • Don't store large payloads - Keep events small
  • Don't skip optimistic concurrency - Prevents data corruption
  • Don't ignore backpressure - Handle slow consumers

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