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Antigravity Agent 93ec7e9056 [G1-Sync] Manual knowledge update

2026-05-09 21:08:02 +09:00

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title

Schema Registry

Streaming / messaging 의 schema 진화 관리. Producer = schema register, Consumer = schema fetch. Confluent Schema Registry, Apicurio. Avro / Protobuf / JSON Schema.

📖 핵심 개념

Schema: 메시지 format.
Subject: schema 의 namespace.
Version: 진화 단계.
Compatibility: 옛 / 새 호환.

💻 코드 패턴

Avro schema

{
  "type": "record",
  "name": "Order",
  "namespace": "com.acme.events",
  "fields": [
    { "name": "id", "type": "string" },
    { "name": "user_id", "type": "string" },
    { "name": "amount", "type": { "type": "bytes", "logicalType": "decimal", "precision": 10, "scale": 2 } },
    { "name": "created_at", "type": { "type": "long", "logicalType": "timestamp-millis" } }
  ]
}

등록

curl -X POST -H "Content-Type: application/vnd.schemaregistry.v1+json" \
  --data '{"schema": "..."}' \
  http://schema-registry:8081/subjects/orders-value/versions

Producer (KafkaJS + Avro)

import { SchemaRegistry, SchemaType } from '@kafkajs/confluent-schema-registry';
import { Kafka } from 'kafkajs';

const registry = new SchemaRegistry({ host: 'http://schema-registry:8081' });

const schema = `
{
  "type": "record",
  "name": "Order",
  "fields": [...]
}`;

const { id } = await registry.register({ type: SchemaType.AVRO, schema });

const kafka = new Kafka({ brokers: ['kafka:9092'] });
const producer = kafka.producer();
await producer.connect();

const message = await registry.encode(id, { id: '...', user_id: '...', amount: '99.50', created_at: Date.now() });
await producer.send({ topic: 'orders', messages: [{ key: id, value: message }] });

Consumer

const consumer = kafka.consumer({ groupId: 'orders-processor' });
await consumer.subscribe({ topic: 'orders' });

await consumer.run({
  eachMessage: async ({ message }) => {
    const decoded = await registry.decode(message.value!);
    console.log(decoded);  // typed object
  },
});

Protobuf

syntax = "proto3";
package com.acme.events;

message Order {
  string id = 1;
  string user_id = 2;
  double amount = 3;
  google.protobuf.Timestamp created_at = 4;
}

# Code generation
buf generate
# 또는 protoc

const { id } = await registry.register({ type: SchemaType.PROTOBUF, schema: protoSchema });

JSON Schema

{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "title": "Order",
  "type": "object",
  "required": ["id", "user_id", "amount", "created_at"],
  "properties": {
    "id": { "type": "string", "format": "uuid" },
    "user_id": { "type": "string" },
    "amount": { "type": "string", "pattern": "^\\d+\\.\\d{2}$" },
    "created_at": { "type": "integer" }
  }
}

Compatibility 정책

BACKWARD:        새 schema 가 옛 데이터 read 가능 (consumer first 업그레이드)
FORWARD:         옛 schema 가 새 데이터 read 가능 (producer first)
FULL:            BACKWARD + FORWARD
NONE:            검사 X
TRANSITIVE:      모든 옛 version 호환

→ 보통 BACKWARD 가 안전 default.

curl -X PUT -H "Content-Type: application/json" \
  --data '{"compatibility": "BACKWARD"}' \
  http://schema-registry:8081/config/orders-value

Schema 변경 — Backwards-compatible

✅ 새 optional field 추가 (default value)
✅ 새 enum value 추가 (default 케이스 있으면)
✅ Field 이름 alias (Avro)
✅ 더 큰 type (int → long)

❌ Required field 추가
❌ Field 제거
❌ Type 변경 (int → string)
❌ Enum 값 제거

Buf (Protobuf modern tool)

# buf.yaml
version: v1
breaking:
  use:
    - FILE

lint:
  use:
    - DEFAULT

buf lint
buf breaking --against '.git#branch=main'
buf generate

# Schema registry push
buf push --tag v1.0.0

→ Schema 도 monorepo + git workflow.

Code generation

# Avro → TS
npx avsc avro2ts schemas/order.avsc -o src/types/order.ts

# Protobuf → TS (ts-proto)
protoc --plugin=protoc-gen-ts_proto=./node_modules/.bin/protoc-gen-ts_proto \
  --ts_proto_out=. order.proto

# Buf
buf generate

→ Type-safe consumer.

Kafka serialization

Wire format = magic byte (1) + schema id (4) + payload

→ Consumer 가 schema id 로 registry fetch + decode

Multiple subjects per topic

키 / value 별 schema:
- orders-key: 단순 string id
- orders-value: 위 Order schema

또는 multi-event topic:
- orders.user-orders-value
- orders.fraud-detected-value

Schema 폐지

# Soft delete
curl -X DELETE http://schema-registry:8081/subjects/orders-value/versions/1

# Hard delete (admin only)
curl -X DELETE http://schema-registry:8081/subjects/orders-value/versions/1?permanent=true

→ Consumer 가 옛 version 안 사용 보장 후.

CI 검증

- name: Schema breaking check
  run: |
    buf breaking --against 'git://example.com/repo.git#branch=main'

- name: Lint schemas
  run: |
    buf lint

→ PR 가 breaking schema 차단.

Apicurio (open-source 대안)

Confluent Schema Registry 라이센스 / 가격 부담 시.
Apicurio = open Apache, Kafka / multi-protocol (Avro/Proto/JSON).

REST API client (별 streaming)

// Schema 정보로 generated DTO 사용
import type { Order } from './generated/order';

app.post('/orders', async (req, res) => {
  const order: Order = req.body;
  // type-safe
});

Datacontract (마이크로서비스)

"내 Kafka topic 가 이 schema 보장" — 다른 팀 / service 가 의존.
schema = data contract.
변경 시 communication + breaking check.

🤔 의사결정 기준

상황	추천
Kafka + 큰 throughput	Avro / Protobuf
Type safety 강	Protobuf + buf
Polyglot (다언어)	Avro / Protobuf
단일 언어 + 단순	JSON Schema 또는 Zod
Confluent Cloud	Schema Registry built-in
Self-host	Apicurio

❌ 안티패턴

JSON without schema: drift, 검증 X.
Schema 변경 + 등록 안 함: consumer 깨짐.
NONE compatibility: 모든 변경 OK — 카오스.
Required field 추가: BACKWARD 깨짐.
Field 제거: BACKWARD 깨짐.
Schema 다양 location: 한 곳 (registry) 만.
Code generation 안 함: type drift.

🤖 LLM 활용 힌트

Avro / Protobuf + Schema Registry.
BACKWARD default.
Code generation 매 schema 변경.
Buf / Apicurio = modern.

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