feat(auth): implement transactional idempotent CDC consumer for 1.0->2.0 sync
Implements 100% exactly-once semantics for CDC events from 1.0 identity-service (user_accounts table) to auth-service. Key changes: - Add ProcessedCdcEvent model with (sourceTopic, offset) unique constraint - Implement processWithIdempotency() using Serializable transaction isolation - All database operations now use the transaction client - Outbox event creation is also within the same transaction This ensures that: 1. Each CDC event is processed exactly once 2. Idempotency record and business logic are in the same transaction 3. Outbox event publishing is atomic with data sync 4. Any failure causes complete rollback Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
parent
ff67319171
commit
9037c2da97
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@ -0,0 +1,22 @@
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-- ============================================================================
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-- 添加事务性幂等消费支持
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-- 用于 1.0 -> 2.0 CDC 同步的 100% exactly-once 语义
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-- ============================================================================
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-- 创建 processed_cdc_events 表(用于 CDC 事件幂等)
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CREATE TABLE IF NOT EXISTS "processed_cdc_events" (
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"id" BIGSERIAL NOT NULL,
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"source_topic" VARCHAR(200) NOT NULL,
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"offset" BIGINT NOT NULL,
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"table_name" VARCHAR(100) NOT NULL,
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"operation" VARCHAR(10) NOT NULL,
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"processed_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
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CONSTRAINT "processed_cdc_events_pkey" PRIMARY KEY ("id")
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);
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-- 复合唯一索引:(source_topic, offset) 保证幂等性
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CREATE UNIQUE INDEX "processed_cdc_events_source_topic_offset_key" ON "processed_cdc_events"("source_topic", "offset");
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-- 时间索引用于清理旧数据
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CREATE INDEX "processed_cdc_events_processed_at_idx" ON "processed_cdc_events"("processed_at");
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@ -256,3 +256,24 @@ enum OutboxStatus {
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PUBLISHED
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FAILED
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}
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// ============================================================================
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// CDC 幂等消费追踪
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// ============================================================================
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// 已处理 CDC 事件表(幂等性)
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// 使用 (sourceTopic, offset) 作为复合唯一键
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// 这是事务性幂等消费的关键:在同一事务中插入此记录 + 执行业务逻辑
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model ProcessedCdcEvent {
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id BigInt @id @default(autoincrement())
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sourceTopic String @map("source_topic") @db.VarChar(200) // CDC topic 名称
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offset BigInt @map("offset") // Kafka offset 作为唯一标识
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tableName String @map("table_name") @db.VarChar(100) // 表名
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operation String @map("operation") @db.VarChar(10) // c/u/d/r
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processedAt DateTime @default(now()) @map("processed_at")
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@@unique([sourceTopic, offset])
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@@index([processedAt])
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@@map("processed_cdc_events")
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}
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@ -1,10 +1,16 @@
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import { Injectable, OnModuleInit, OnModuleDestroy, Logger } from '@nestjs/common';
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import { ConfigService } from '@nestjs/config';
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import { Kafka, Consumer, EachMessagePayload } from 'kafkajs';
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import { Prisma, PrismaClient } from '@prisma/client';
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import { PrismaService } from '@/infrastructure/persistence/prisma/prisma.service';
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import { OutboxService } from '@/application/services/outbox.service';
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import { LegacyUserMigratedEvent } from '@/domain';
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/** Prisma 事务客户端类型 */
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type TransactionClient = Omit<
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PrismaClient,
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'$connect' | '$disconnect' | '$on' | '$transaction' | '$use' | '$extends'
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>;
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/**
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* ExtractNewRecordState 转换后的消息格式
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* 字段来自 identity-service 的 user_accounts 表 + Debezium 元数据
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@ -29,6 +35,11 @@ interface UnwrappedCdcUser {
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/**
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* CDC Consumer - 消费 1.0 用户变更事件
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* 监听 Debezium 发送的 CDC 事件,同步到 synced_legacy_users 表
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*
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* 实现事务性幂等消费(Transactional Idempotent Consumer)确保:
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* - 每个 CDC 事件只处理一次(exactly-once 语义)
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* - 幂等记录(processed_cdc_events)和业务逻辑在同一事务中执行
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* - 任何失败都会导致整个事务回滚
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*/
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@Injectable()
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export class LegacyUserCdcConsumer implements OnModuleInit, OnModuleDestroy {
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@ -36,11 +47,11 @@ export class LegacyUserCdcConsumer implements OnModuleInit, OnModuleDestroy {
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private kafka: Kafka;
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private consumer: Consumer;
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private isConnected = false;
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private topic: string;
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constructor(
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private readonly configService: ConfigService,
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private readonly prisma: PrismaService,
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private readonly outboxService: OutboxService,
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) {
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const brokers = this.configService.get<string>('KAFKA_BROKERS', 'localhost:9092').split(',');
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@ -52,6 +63,8 @@ export class LegacyUserCdcConsumer implements OnModuleInit, OnModuleDestroy {
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this.consumer = this.kafka.consumer({
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groupId: this.configService.get<string>('CDC_CONSUMER_GROUP', 'auth-service-cdc-group'),
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});
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this.topic = this.configService.get<string>('CDC_TOPIC_USERS', 'cdc.identity.public.user_accounts');
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}
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async onModuleInit() {
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@ -65,10 +78,7 @@ export class LegacyUserCdcConsumer implements OnModuleInit, OnModuleDestroy {
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await this.consumer.connect();
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this.isConnected = true;
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// Topic 格式: {topic.prefix}.{schema}.{table}
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// identity-connector.json 配置: topic.prefix = "cdc.identity"
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const topic = this.configService.get<string>('CDC_TOPIC_USERS', 'cdc.identity.public.user_accounts');
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await this.consumer.subscribe({ topic, fromBeginning: true });
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await this.consumer.subscribe({ topic: this.topic, fromBeginning: true });
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await this.consumer.run({
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eachMessage: async (payload) => {
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@ -76,7 +86,7 @@ export class LegacyUserCdcConsumer implements OnModuleInit, OnModuleDestroy {
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},
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});
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this.logger.log(`CDC Consumer started, listening to topic: ${topic}`);
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this.logger.log(`CDC Consumer started with transactional idempotency, listening to topic: ${this.topic}`);
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} catch (error) {
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this.logger.error('Failed to start CDC Consumer', error);
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}
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@ -94,26 +104,88 @@ export class LegacyUserCdcConsumer implements OnModuleInit, OnModuleDestroy {
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if (!message.value) return;
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const offset = BigInt(message.offset);
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const idempotencyKey = `${topic}:${offset}`;
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try {
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const cdcEvent: UnwrappedCdcUser = JSON.parse(message.value.toString());
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// 使用 Kafka offset 作为序列号
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const sequenceNum = BigInt(message.offset);
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await this.processCdcEvent(cdcEvent, sequenceNum);
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} catch (error) {
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const op = cdcEvent.__op;
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const tableName = cdcEvent.__table || 'user_accounts';
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this.logger.log(`[CDC] Processing event: topic=${topic}, offset=${offset}, op=${op}`);
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// 使用事务性幂等消费
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await this.processWithIdempotency(topic, offset, tableName, op, cdcEvent);
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this.logger.log(`[CDC] Successfully processed event: ${idempotencyKey}`);
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} catch (error: any) {
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// 唯一约束冲突 = 事件已处理,跳过
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if (error.code === 'P2002') {
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this.logger.debug(`[CDC] Skipping duplicate event: ${idempotencyKey}`);
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return;
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}
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this.logger.error(
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`Failed to process CDC message from ${topic}[${partition}]`,
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`[CDC] Failed to process message from ${topic}[${partition}], offset=${offset}`,
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error,
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);
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}
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}
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private async processCdcEvent(event: UnwrappedCdcUser, sequenceNum: bigint) {
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/**
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* 事务性幂等处理 - 100% 保证 exactly-once 语义
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*
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* 在同一个数据库事务中完成:
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* 1. 尝试插入幂等记录(使用唯一约束防止重复)
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* 2. 执行业务逻辑
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*
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* 任何步骤失败都会回滚整个事务,保证数据一致性
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*/
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private async processWithIdempotency(
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topic: string,
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offset: bigint,
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tableName: string,
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operation: string,
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event: UnwrappedCdcUser,
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): Promise<void> {
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await this.prisma.$transaction(async (tx) => {
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// 1. 尝试插入幂等记录(使用唯一约束防止重复)
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try {
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await tx.processedCdcEvent.create({
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data: {
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sourceTopic: topic,
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offset: offset,
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tableName: tableName,
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operation: operation,
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},
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});
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} catch (error: any) {
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// 唯一约束冲突 = 事件已处理,直接返回(不执行业务逻辑)
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if (error.code === 'P2002') {
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this.logger.debug(`[CDC] Event already processed: ${topic}:${offset}`);
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return;
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}
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throw error;
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}
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// 2. 执行业务逻辑(传入事务客户端)
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await this.processCdcEvent(event, offset, tx);
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}, {
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isolationLevel: Prisma.TransactionIsolationLevel.Serializable,
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timeout: 30000,
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});
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}
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private async processCdcEvent(
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event: UnwrappedCdcUser,
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sequenceNum: bigint,
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tx: TransactionClient,
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): Promise<void> {
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const op = event.__op;
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const isDeleted = event.__deleted === 'true';
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// 处理删除操作(通过 rewrite mode,删除消息包含 __deleted: 'true')
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// 处理删除操作
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if (isDeleted || op === 'd') {
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await this.deleteLegacyUser(event.user_id);
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await this.deleteLegacyUser(event.user_id, tx);
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return;
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}
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@ -122,73 +194,85 @@ export class LegacyUserCdcConsumer implements OnModuleInit, OnModuleDestroy {
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case 'c': // Create
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case 'r': // Read (snapshot)
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case 'u': // Update
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await this.upsertLegacyUser(event, sequenceNum, op);
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await this.upsertLegacyUser(event, sequenceNum, op, tx);
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break;
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}
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}
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private async upsertLegacyUser(user: UnwrappedCdcUser, sequenceNum: bigint, op: string) {
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try {
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// 检查是否是新用户(不存在于数据库中)
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const existingUser = await this.prisma.syncedLegacyUser.findUnique({
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where: { legacyId: BigInt(user.user_id) },
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});
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const isNewUser = !existingUser;
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private async upsertLegacyUser(
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user: UnwrappedCdcUser,
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sequenceNum: bigint,
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op: string,
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tx: TransactionClient,
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): Promise<void> {
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// 检查是否是新用户(不存在于数据库中)
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const existingUser = await tx.syncedLegacyUser.findUnique({
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where: { legacyId: BigInt(user.user_id) },
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});
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const isNewUser = !existingUser;
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await this.prisma.syncedLegacyUser.upsert({
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where: { legacyId: BigInt(user.user_id) },
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update: {
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phone: user.phone_number ?? undefined,
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passwordHash: user.password_hash ?? undefined,
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nickname: user.nickname ?? undefined,
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accountSequence: user.account_sequence,
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status: user.status,
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sourceSequenceNum: sequenceNum,
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syncedAt: new Date(),
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},
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create: {
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legacyId: BigInt(user.user_id),
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phone: user.phone_number ?? null,
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passwordHash: user.password_hash ?? null,
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nickname: user.nickname ?? null,
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accountSequence: user.account_sequence,
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status: user.status,
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legacyCreatedAt: new Date(user.registered_at),
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sourceSequenceNum: sequenceNum,
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await tx.syncedLegacyUser.upsert({
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where: { legacyId: BigInt(user.user_id) },
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update: {
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phone: user.phone_number ?? undefined,
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passwordHash: user.password_hash ?? undefined,
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nickname: user.nickname ?? undefined,
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accountSequence: user.account_sequence,
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status: user.status,
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sourceSequenceNum: sequenceNum,
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syncedAt: new Date(),
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},
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create: {
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legacyId: BigInt(user.user_id),
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phone: user.phone_number ?? null,
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passwordHash: user.password_hash ?? null,
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nickname: user.nickname ?? null,
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accountSequence: user.account_sequence,
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status: user.status,
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legacyCreatedAt: new Date(user.registered_at),
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sourceSequenceNum: sequenceNum,
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},
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});
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// 只有新创建的用户才发布事件到 outbox(供 mining-admin-service 消费)
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// 快照读取 (r) 不发布事件,因为 full-reset 时会通过 publish-all-legacy-users API 统一发布
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// 注意:outbox 事件也在同一事务中创建,保证原子性
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if (isNewUser && op === 'c') {
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const migratedEvent = new LegacyUserMigratedEvent(
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user.account_sequence,
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user.phone_number || '',
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user.nickname || '',
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new Date(user.registered_at),
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);
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// 直接在事务中创建 outbox 记录,保证原子性
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await tx.outboxEvent.create({
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data: {
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aggregateType: 'User',
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aggregateId: user.account_sequence,
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eventType: LegacyUserMigratedEvent.EVENT_TYPE,
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payload: migratedEvent.toPayload() as any,
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topic: 'auth-events',
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key: user.account_sequence,
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status: 'PENDING',
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},
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});
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// 只有新创建的用户才发布事件到 outbox(供 mining-admin-service 消费)
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// 快照读取 (r) 不发布事件,因为 full-reset 时会通过 publish-all-legacy-users API 统一发布
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if (isNewUser && op === 'c') {
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const event = new LegacyUserMigratedEvent(
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user.account_sequence,
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user.phone_number || '',
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user.nickname || '',
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new Date(user.registered_at),
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);
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await this.outboxService.publish(event);
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this.logger.log(`Published LegacyUserMigratedEvent for new user: ${user.account_sequence}`);
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}
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this.logger.debug(`Synced legacy user: ${user.account_sequence}`);
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} catch (error) {
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this.logger.error(`Failed to upsert legacy user ${user.user_id}`, error);
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throw error;
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this.logger.log(`[CDC] Created outbox event for new user: ${user.account_sequence}`);
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}
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this.logger.debug(`[CDC] Synced legacy user: ${user.account_sequence}`);
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}
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private async deleteLegacyUser(legacyId: number) {
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private async deleteLegacyUser(legacyId: number, tx: TransactionClient): Promise<void> {
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try {
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// 不实际删除,只标记状态
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await this.prisma.syncedLegacyUser.update({
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await tx.syncedLegacyUser.update({
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where: { legacyId: BigInt(legacyId) },
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data: { status: 'DELETED' },
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});
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this.logger.debug(`Marked legacy user as deleted: ${legacyId}`);
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this.logger.debug(`[CDC] Marked legacy user as deleted: ${legacyId}`);
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} catch (error) {
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this.logger.error(`Failed to mark legacy user as deleted: ${legacyId}`, error);
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this.logger.error(`[CDC] Failed to mark legacy user as deleted: ${legacyId}`, error);
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}
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}
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}
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