Split View: 이벤트 드리븐 아키텍처 + CQRS + Saga 패턴: MSA 실전 설계 가이드

graph LR
    A[Order Service] -->|Synchronous HTTP call| B[Payment Service]
    B -->|Synchronous HTTP call| C[Inventory Service]
    C -->|Synchronous HTTP call| D[Shipping Service]
    style A fill:#f96,stroke:#333
    style D fill:#6f9,stroke:#333

graph LR
    A[Order Service] -->|Publish event| K[Kafka]
    K -->|Consume event| B[Payment Service]
    K -->|Consume event| C[Inventory Service]
    K -->|Consume event| D[Shipping Service]
    style K fill:#ff9,stroke:#333

graph TB
    Client -->|Command: Create Order| CmdAPI[Command API]
    Client -->|Query: Get Order| QryAPI[Query API]

    CmdAPI --> WriteDB[(Write DB<br/>PostgreSQL)]
    WriteDB -->|Publish event| EventBus[Kafka]
    EventBus -->|Consume event| Projector[Projector]
    Projector --> ReadDB[(Read DB<br/>Elasticsearch)]
    QryAPI --> ReadDB

    style CmdAPI fill:#f96,stroke:#333
    style QryAPI fill:#6f9,stroke:#333
    style EventBus fill:#ff9,stroke:#333

# Command Side
from dataclasses import dataclass
from datetime import datetime
import uuid

@dataclass
class CreateOrderCommand:
    customer_id: str
    items: list[dict]
    total_amount: float

class OrderCommandHandler:
    def __init__(self, repo, event_publisher):
        self.repo = repo
        self.event_publisher = event_publisher

    def handle_create_order(self, cmd: CreateOrderCommand):
        order = Order(
            id=str(uuid.uuid4()),
            customer_id=cmd.customer_id,
            items=cmd.items,
            total_amount=cmd.total_amount,
            status="PENDING",
            created_at=datetime.utcnow()
        )

        # Save to Write DB
        self.repo.save(order)

        # Publish event
        self.event_publisher.publish("order.created", {
            "order_id": order.id,
            "customer_id": order.customer_id,
            "total_amount": order.total_amount,
            "items": order.items,
        })
        return order.id

# Query Side
class OrderQueryService:
    def __init__(self, read_repo):
        self.read_repo = read_repo  # Elasticsearch

    def get_order(self, order_id: str):
        return self.read_repo.find_by_id(order_id)

    def search_orders(self, customer_id: str, status: str = None):
        return self.read_repo.search(customer_id=customer_id, status=status)

# Projector (Event -> Read Model synchronization)
class OrderProjector:
    def __init__(self, read_repo):
        self.read_repo = read_repo

    def on_order_created(self, event):
        self.read_repo.upsert({
            "id": event["order_id"],
            "customer_id": event["customer_id"],
            "total_amount": event["total_amount"],
            "status": "PENDING",
            "items": event["items"],
        })

    def on_order_paid(self, event):
        self.read_repo.update(event["order_id"], {"status": "PAID"})

graph TB
    subgraph "Choreography (Event-based)"
        O1[Order] -->|OrderCreated| P1[Payment]
        P1 -->|PaymentCompleted| S1[Inventory]
        S1 -->|StockReserved| D1[Shipping]
        D1 -->|DeliveryStarted| O1
    end

graph TB
    subgraph "Orchestration (Central coordination)"
        Orch[Saga Orchestrator]
        Orch -->|1. Payment request| P2[Payment]
        P2 -->|Payment complete| Orch
        Orch -->|2. Reserve inventory| S2[Inventory]
        S2 -->|Reservation complete| Orch
        Orch -->|3. Shipping request| D2[Shipping]
        D2 -->|Shipping started| Orch
    end

from enum import Enum
from kafka import KafkaProducer, KafkaConsumer
import json

class SagaStep(Enum):
    PAYMENT = "payment"
    INVENTORY = "inventory"
    DELIVERY = "delivery"

class OrderSagaOrchestrator:
    STEPS = [SagaStep.PAYMENT, SagaStep.INVENTORY, SagaStep.DELIVERY]

    def __init__(self, producer: KafkaProducer):
        self.producer = producer
        self.saga_state = {}  # order_id -> {step, status}

    def start_saga(self, order_id: str, order_data: dict):
        self.saga_state[order_id] = {
            "current_step": 0,
            "data": order_data,
            "completed_steps": [],
        }
        self._execute_step(order_id)

    def _execute_step(self, order_id: str):
        state = self.saga_state[order_id]
        step_idx = state["current_step"]

        if step_idx >= len(self.STEPS):
            # All steps completed
            self._publish(f"order.completed", {"order_id": order_id})
            return

        step = self.STEPS[step_idx]
        self._publish(f"{step.value}.request", {
            "order_id": order_id,
            "saga_id": order_id,
            **state["data"]
        })

    def handle_step_success(self, order_id: str, step: SagaStep):
        state = self.saga_state[order_id]
        state["completed_steps"].append(step)
        state["current_step"] += 1
        self._execute_step(order_id)

    def handle_step_failure(self, order_id: str, failed_step: SagaStep):
        """Execute compensating transactions (reverse order)"""
        state = self.saga_state[order_id]

        for step in reversed(state["completed_steps"]):
            self._publish(f"{step.value}.compensate", {
                "order_id": order_id,
            })

        self._publish("order.failed", {
            "order_id": order_id,
            "failed_at": failed_step.value,
        })

    def _publish(self, topic: str, data: dict):
        self.producer.send(topic, json.dumps(data).encode())

sequenceDiagram
    participant O as Orchestrator
    participant P as Payment Service
    participant I as Inventory Service
    participant D as Shipping Service

    O->>P: 1. Payment request
    P-->>O: Payment success
    O->>I: 2. Reserve inventory
    I-->>O: Reservation success
    O->>D: 3. Shipping request
    D-->>O: Shipping failed (address error)

    Note over O: Start compensating transactions (reverse order)
    O->>I: Cancel inventory reservation
    I-->>O: Cancellation complete
    O->>P: Refund payment
    P-->>O: Refund complete
    O->>O: Mark order as failed

Traditional approach:
  orders table: {id: 1, status: "SHIPPED", amount: 50000}

Event Sourcing:
  events table:
    1. OrderCreated {amount: 50000}
    2. PaymentReceived {payment_id: "pay_123"}
    3. StockReserved {warehouse: "seoul"}
    4. OrderShipped {tracking: "KR12345"}

  -> Replay events in order to reconstruct current state

class EventStore:
    def __init__(self, db):
        self.db = db

    def append(self, aggregate_id: str, event_type: str, data: dict, version: int):
        self.db.execute("""
            INSERT INTO events (aggregate_id, event_type, data, version, created_at)
            VALUES (%s, %s, %s, %s, NOW())
        """, (aggregate_id, event_type, json.dumps(data), version))

    def get_events(self, aggregate_id: str, after_version: int = 0):
        return self.db.query("""
            SELECT event_type, data, version
            FROM events
            WHERE aggregate_id = %s AND version > %s
            ORDER BY version
        """, (aggregate_id, after_version))

class Order:
    def __init__(self):
        self.id = None
        self.status = None
        self.version = 0
        self._pending_events = []

    def apply_event(self, event_type: str, data: dict):
        if event_type == "OrderCreated":
            self.id = data["order_id"]
            self.status = "PENDING"
        elif event_type == "PaymentReceived":
            self.status = "PAID"
        elif event_type == "OrderShipped":
            self.status = "SHIPPED"
        self.version += 1

    @classmethod
    def from_events(cls, events):
        order = cls()
        for e in events:
            order.apply_event(e["event_type"], e["data"])
        return order

graph TB
    Client[Client] --> Gateway[API Gateway]

    Gateway --> OrderCmd[Order Command API]
    Gateway --> OrderQry[Order Query API]

    OrderCmd --> WriteDB[(PostgreSQL)]
    WriteDB --> CDC[Debezium CDC]
    CDC --> Kafka[Apache Kafka]

    Kafka --> Saga[Saga Orchestrator]
    Kafka --> Projector[CQRS Projector]

    Saga --> PaymentSvc[Payment Service]
    Saga --> InventorySvc[Inventory Service]
    Saga --> DeliverySvc[Shipping Service]

    Projector --> ReadDB[(Elasticsearch)]
    OrderQry --> ReadDB

    PaymentSvc --> Kafka
    InventorySvc --> Kafka
    DeliverySvc --> Kafka

    style Kafka fill:#ff9,stroke:#333
    style Saga fill:#f96,stroke:#333

# Preventing duplicate event processing
class IdempotentConsumer:
    def __init__(self, redis_client):
        self.redis = redis_client

    def process_event(self, event_id: str, handler):
        key = f"processed:{event_id}"
        if self.redis.setnx(key, "1"):
            self.redis.expire(key, 86400)  # 24-hour TTL
            handler()
        else:
            pass  # Already processed, skip

# Guarantee ordering with Kafka partition keys
producer.send(
    "order.events",
    key=order_id.encode(),  # Same order -> same partition -> order guaranteed
    value=json.dumps(event).encode()
)