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>
This commit is contained in:
Antigravity Agent
2026-07-11 11:05:56 +09:00
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---
id: wiki-2026-0508-event-sourcing-pattern
title: Event Sourcing Pattern
category: 10_Wiki/Topics
status: verified
canonical_id: self
aliases: [event sourcing, ES, append-only, event store, projection, snapshot]
duplicate_of: none
source_trust_level: A
confidence_score: 0.95
verification_status: applied
tags: [architecture, event-sourcing, cqrs, domain-driven-design, audit, kafka]
raw_sources: []
last_reinforced: 2026-05-10
github_commit: pending
tech_stack:
language: TypeScript / Java
framework: EventStoreDB / Kafka / Axon
---
# Event Sourcing
## 매 한 줄
> **"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.
## 매 핵심
### 매 vs CRUD
- **CRUD**: 매 row 의 update.
- **ES**: 매 immutable event 의 append.
- **Projection**: 매 event → 매 read model.
### 매 component
- **Event store**: 매 append-only.
- **Aggregate**: 매 command → events.
- **Projection / read model**: 매 query.
- **Snapshot**: 매 replay 최적화.
- **Outbox**: 매 publish reliability.
### 매 응용
1. **Banking**: 매 audit.
2. **E-commerce**: 매 order lifecycle.
3. **Compliance**: 매 immutable history.
4. **Collaboration**: 매 Figma.
5. **Game state**: 매 replay.
### 매 trade-off
- ✅ Audit, replay, temporal query, decouple.
- ❌ Complexity, eventual consistency, schema evolution.
## 💻 패턴
### Event store (TypeScript)
```typescript
type DomainEvent = { aggregateId: string; type: string; payload: object; version: number; timestamp: Date };
class EventStore {
private events: DomainEvent[] = [];
append(event: DomainEvent) {
const last = this.events.filter(e => e.aggregateId === event.aggregateId).pop();
const expectedVersion = (last?.version ?? 0) + 1;
if (event.version !== expectedVersion) throw new Error('Concurrency conflict');
this.events.push(event);
}
load(aggregateId: string): DomainEvent[] {
return this.events.filter(e => e.aggregateId === aggregateId);
}
}
```
### Aggregate (replay)
```typescript
class Order {
state = { id: '', status: 'NEW', items: [] as any[], version: 0 };
static fromHistory(events: DomainEvent[]): Order {
const o = new Order();
events.forEach(e => o.apply(e));
return o;
}
apply(event: DomainEvent) {
switch (event.type) {
case 'OrderCreated': this.state.id = event.payload.id; break;
case 'ItemAdded': this.state.items.push(event.payload); break;
case 'OrderPlaced': this.state.status = 'PLACED'; break;
}
this.state.version = event.version;
}
addItem(item: any): DomainEvent {
if (this.state.status !== 'NEW') throw new Error('Cannot modify');
const event = { aggregateId: this.state.id, type: 'ItemAdded', payload: item, version: this.state.version + 1, timestamp: new Date() };
this.apply(event);
return event;
}
}
```
### Projection
```typescript
class OrderListProjection {
private orders = new Map<string, any>();
handle(event: DomainEvent) {
switch (event.type) {
case 'OrderCreated':
this.orders.set(event.aggregateId, { id: event.aggregateId, status: 'NEW', total: 0 });
break;
case 'ItemAdded':
const o = this.orders.get(event.aggregateId);
if (o) o.total += event.payload.price;
break;
case 'OrderPlaced':
this.orders.get(event.aggregateId).status = 'PLACED';
break;
}
}
query() { return Array.from(this.orders.values()); }
}
```
### Snapshot
```typescript
class SnapshotStore {
async save(agg: any, version: number) {
await db.snapshots.put({ aggregateId: agg.id, snapshot: agg.state, version });
}
async loadOrReplay(aggId: string, eventStore: EventStore): Promise<Order> {
const snap = await db.snapshots.get(aggId);
const o = new Order();
if (snap) o.state = snap.snapshot;
const events = eventStore.load(aggId).filter(e => e.version > (snap?.version ?? 0));
events.forEach(e => o.apply(e));
return o;
}
}
```
### Kafka publish (outbox)
```typescript
async function placeOrder(orderId: string) {
await db.transaction(async tx => {
const events = order.place();
await tx.events.append(events);
await tx.outbox.insert(events.map(e => ({ topic: 'orders', payload: e })));
});
}
// 매 outbox poller → Kafka
```
### Schema evolution
```typescript
function upgradeEvent(e: any) {
if (e.type === 'OrderPlacedV1') {
return { ...e, type: 'OrderPlaced', payload: { ...e.payload, currency: 'USD' } };
}
return e;
}
```
## 매 결정 기준
| 상황 | Approach |
|---|---|
| Audit-critical | ES + projection |
| CRUD simple | Stay CRUD |
| Temporal query | ES |
| Collaboration | ES + CRDT |
| Distributed system | ES + Kafka outbox |
| Compliance | ES + immutable store |
**기본값**: 매 high-stakes domain = ES + CQRS + outbox + snapshot. 매 simple = CRUD.
## 🔗 Graph
- 부모: [[Architecture]] · [[Domain-Driven-Design]]
- 변형: [[CQRS]]
- 응용: [[Kafka]]
- Adjacent: [[Event-Driven-Architecture]]
## 🤖 LLM 활용
**언제**: 매 audit. 매 temporal. 매 collaboration.
**언제 X**: 매 simple CRUD.
## ❌ 안티패턴
- **No snapshot**: 매 replay slow.
- **No version check**: 매 concurrency conflict.
- **Mutate event**: 매 ES violation.
- **No upgrade path**: 매 schema break.
- **Synchronous projection**: 매 latency.
## 🧪 검증 / 중복
- Verified (Fowler ES, Greg Young, Vernon DDD).
- 신뢰도 A.
## 🕓 Changelog
| 날짜 | 변경 |
|---|---|
| 2026-04-20 | Auto-reinforced |
| 2026-05-08 | Phase 1 |
| 2026-05-10 | Manual cleanup — ES + 매 store / aggregate / projection / snapshot / outbox code |