refactor(topics): 멀티 에이전트용 지식 재편 — _Common(공통 기본기) + Domain_* 구조
에이전트 8종(대화형/프로그래머 C·S/디자이너/설계자/기획자/QA/PD/PM)에게 [공통 기본 능력 + 롤별 Specialty] 2층으로 지식을 주입하기 위한 재분류. 문서 내용·포맷은 무수정, 폴더 이동만 (6,372개 문서 수 보존 확인). - Topic_Programming → Domain_Programming (내부 구조 보존) - Topic_Graphic → Domain_Design - Topic_Business → Domain_Product - Topic_General → Domain_General - _Common 신설: Math(구 Topic_Math_Specialty), Reasoning(구 General/From_Thinking & Reasoning), Reasoning_Creativity(구 General/From_창의성), Communication(Poetic_Blog_Writing + From_writing) - 타 도메인의 From_* 폴더는 유지 (출처 표기일 뿐, 이미 도메인에 맞게 분류된 문서) - 빈 폴더 정리 (memory/procedures) - 에이전트→폴더 매핑은 workspace의 .astra/agent-knowledge-map.json (9개 에이전트) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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---
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id: wiki-2026-0508-event-sourcing-pattern
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title: Event Sourcing Pattern
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category: 10_Wiki/Topics
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status: verified
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canonical_id: self
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aliases: [event sourcing, ES, append-only, event store, projection, snapshot]
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duplicate_of: none
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source_trust_level: A
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confidence_score: 0.95
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verification_status: applied
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tags: [architecture, event-sourcing, cqrs, domain-driven-design, audit, kafka]
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raw_sources: []
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last_reinforced: 2026-05-10
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github_commit: pending
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tech_stack:
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language: TypeScript / Java
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framework: EventStoreDB / Kafka / Axon
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---
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# Event Sourcing
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## 매 한 줄
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> **"매 state 의 store 의 X — 매 event 의 sequence 의 store"**. 매 current state = 매 replay 의 result. 매 audit + 매 temporal query + 매 CQRS 의 partner. 매 modern: 매 Kafka, EventStoreDB, Axon.
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## 매 핵심
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### 매 vs CRUD
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- **CRUD**: 매 row 의 update.
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- **ES**: 매 immutable event 의 append.
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- **Projection**: 매 event → 매 read model.
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### 매 component
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- **Event store**: 매 append-only.
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- **Aggregate**: 매 command → events.
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- **Projection / read model**: 매 query.
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- **Snapshot**: 매 replay 최적화.
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- **Outbox**: 매 publish reliability.
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### 매 응용
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1. **Banking**: 매 audit.
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2. **E-commerce**: 매 order lifecycle.
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3. **Compliance**: 매 immutable history.
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4. **Collaboration**: 매 Figma.
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5. **Game state**: 매 replay.
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### 매 trade-off
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- ✅ Audit, replay, temporal query, decouple.
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- ❌ Complexity, eventual consistency, schema evolution.
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## 💻 패턴
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### Event store (TypeScript)
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```typescript
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type DomainEvent = { aggregateId: string; type: string; payload: object; version: number; timestamp: Date };
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class EventStore {
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private events: DomainEvent[] = [];
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append(event: DomainEvent) {
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const last = this.events.filter(e => e.aggregateId === event.aggregateId).pop();
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const expectedVersion = (last?.version ?? 0) + 1;
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if (event.version !== expectedVersion) throw new Error('Concurrency conflict');
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this.events.push(event);
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}
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load(aggregateId: string): DomainEvent[] {
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return this.events.filter(e => e.aggregateId === aggregateId);
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}
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}
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```
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### Aggregate (replay)
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```typescript
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class Order {
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state = { id: '', status: 'NEW', items: [] as any[], version: 0 };
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static fromHistory(events: DomainEvent[]): Order {
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const o = new Order();
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events.forEach(e => o.apply(e));
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return o;
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}
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apply(event: DomainEvent) {
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switch (event.type) {
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case 'OrderCreated': this.state.id = event.payload.id; break;
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case 'ItemAdded': this.state.items.push(event.payload); break;
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case 'OrderPlaced': this.state.status = 'PLACED'; break;
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}
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this.state.version = event.version;
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}
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addItem(item: any): DomainEvent {
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if (this.state.status !== 'NEW') throw new Error('Cannot modify');
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const event = { aggregateId: this.state.id, type: 'ItemAdded', payload: item, version: this.state.version + 1, timestamp: new Date() };
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this.apply(event);
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return event;
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}
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}
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```
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### Projection
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```typescript
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class OrderListProjection {
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private orders = new Map<string, any>();
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handle(event: DomainEvent) {
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switch (event.type) {
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case 'OrderCreated':
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this.orders.set(event.aggregateId, { id: event.aggregateId, status: 'NEW', total: 0 });
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break;
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case 'ItemAdded':
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const o = this.orders.get(event.aggregateId);
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if (o) o.total += event.payload.price;
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break;
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case 'OrderPlaced':
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this.orders.get(event.aggregateId).status = 'PLACED';
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break;
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}
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}
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query() { return Array.from(this.orders.values()); }
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}
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```
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### Snapshot
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```typescript
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class SnapshotStore {
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async save(agg: any, version: number) {
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await db.snapshots.put({ aggregateId: agg.id, snapshot: agg.state, version });
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}
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async loadOrReplay(aggId: string, eventStore: EventStore): Promise<Order> {
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const snap = await db.snapshots.get(aggId);
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const o = new Order();
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if (snap) o.state = snap.snapshot;
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const events = eventStore.load(aggId).filter(e => e.version > (snap?.version ?? 0));
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events.forEach(e => o.apply(e));
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return o;
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}
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}
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```
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### Kafka publish (outbox)
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```typescript
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async function placeOrder(orderId: string) {
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await db.transaction(async tx => {
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const events = order.place();
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await tx.events.append(events);
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await tx.outbox.insert(events.map(e => ({ topic: 'orders', payload: e })));
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});
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}
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// 매 outbox poller → Kafka
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```
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### Schema evolution
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```typescript
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function upgradeEvent(e: any) {
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if (e.type === 'OrderPlacedV1') {
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return { ...e, type: 'OrderPlaced', payload: { ...e.payload, currency: 'USD' } };
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}
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return e;
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}
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```
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## 매 결정 기준
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| 상황 | Approach |
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|---|---|
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| Audit-critical | ES + projection |
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| CRUD simple | Stay CRUD |
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| Temporal query | ES |
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| Collaboration | ES + CRDT |
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| Distributed system | ES + Kafka outbox |
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| Compliance | ES + immutable store |
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**기본값**: 매 high-stakes domain = ES + CQRS + outbox + snapshot. 매 simple = CRUD.
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## 🔗 Graph
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- 부모: [[Architecture]] · [[Domain-Driven-Design]]
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- 변형: [[CQRS]]
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- 응용: [[Kafka]]
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- Adjacent: [[Event-Driven-Architecture]]
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## 🤖 LLM 활용
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**언제**: 매 audit. 매 temporal. 매 collaboration.
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**언제 X**: 매 simple CRUD.
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## ❌ 안티패턴
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- **No snapshot**: 매 replay slow.
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- **No version check**: 매 concurrency conflict.
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- **Mutate event**: 매 ES violation.
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- **No upgrade path**: 매 schema break.
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- **Synchronous projection**: 매 latency.
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## 🧪 검증 / 중복
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- Verified (Fowler ES, Greg Young, Vernon DDD).
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- 신뢰도 A.
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## 🕓 Changelog
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| 날짜 | 변경 |
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|---|---|
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| 2026-04-20 | Auto-reinforced |
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| 2026-05-08 | Phase 1 |
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| 2026-05-10 | Manual cleanup — ES + 매 store / aggregate / projection / snapshot / outbox code |
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