应用简介
BullMQ Redis支持的作业队列、后台处理专家
---
name: bullmq-specialist
description: BullMQ expert for Redis-backed job queues, background processing,
and reliable async execution in Node.js/TypeScript applications.
risk: none
source: vibeship-spawner-skills (Apache 2.0)
date_added: 2026-02-27
---
# BullMQ Specialist
BullMQ expert for Redis-backed job queues, background processing, and
reliable async execution in Node.js/TypeScript applications.
## Principles
- Jobs are fire-and-forget from the producer side - let the queue handle delivery
- Always set explicit job options - defaults rarely match your use case
- Idempotency is your responsibility - jobs may run more than once
- Backoff strategies prevent thundering herds - exponential beats linear
- Dead letter queues are not optional - failed jobs need a home
- Concurrency limits protect downstream services - start conservative
- Job data should be small - pass IDs, not payloads
- Graceful shutdown prevents orphaned jobs - handle SIGTERM properly
## Capabilities
- bullmq-queues
- job-scheduling
- delayed-jobs
- repeatable-jobs
- job-priorities
- rate-limiting-jobs
- job-events
- worker-patterns
- flow-producers
- job-dependencies
## Scope
- redis-infrastructure -> redis-specialist
- serverless-queues -> upstash-qstash
- workflow-orchestration -> temporal-craftsman
- event-sourcing -> event-architect
- email-delivery -> email-systems
## Tooling
### Core
- bullmq
- ioredis
### Hosting
- upstash
- redis-cloud
- elasticache
- railway
### Monitoring
- bull-board
- arena
- bullmq-pro
### Patterns
- delayed-jobs
- repeatable-jobs
- job-flows
- rate-limiting
- sandboxed-processors
## Patterns
### Basic Queue Setup
Production-ready BullMQ queue with proper configuration
**When to use**: Starting any new queue implementation
import { Queue, Worker, QueueEvents } from 'bullmq';
import IORedis from 'ioredis';
// Shared connection for all queues
const connection = new IORedis(process.env.REDIS_URL, {
maxRetriesPerRequest: null, // Required for BullMQ
enableReadyCheck: false,
});
// Create queue with sensible defaults
const emailQueue = new Queue('emails', {
connection,
defaultJobOptions: {
attempts: 3,
backoff: {
type: 'exponential',
delay: 1000,
},
removeOnComplete: { count: 1000 },
removeOnFail: { count: 5000 },
},
});
// Worker with concurrency limit
const worker = new Worker('emails', async (job) => {
await sendEmail(job.data);
}, {
connection,
concurrency: 5,
limiter: {
max: 100,
duration: 60000, // 100 jobs per minute
},
});
// Handle events
worker.on('failed', (job, err) => {
console.error(`Job ${job?.id} failed:`, err);
});
### Delayed and Scheduled Jobs
Jobs that run at specific times or after delays
**When to use**: Scheduling future tasks, reminders, or timed actions
// Delayed job - runs once after delay
await queue.add('reminder', { userId: 123 }, {
delay: 24 * 60 * 60 * 1000, // 24 hours
});
// Repeatable job - runs on schedule
await queue.add('daily-digest', { type: 'summary' }, {
repeat: {
pattern: '0 9 * * *', // Every day at 9am
tz: 'America/New_York',
},
});
// Remove repeatable job
await queue.removeRepeatable('daily-digest', {
pattern: '0 9 * * *',
tz: 'America/New_York',
});
### Job Flows and Dependencies
Complex multi-step job processing with parent-child relationships
**When to use**: Jobs depend on other jobs completing first
import { FlowProducer } from 'bullmq';
const flowProducer = new FlowProducer({ connection });
// Parent waits for all children to complete
await flowProducer.add({
name: 'process-order',
queueName: 'orders',
data: { orderId: 123 },
children: [
{
name: 'validate-inventory',
queueName: 'inventory',
data: { orderId: 123 },
},
{
name: 'charge-payment',
queueName: 'payments',
data: { orderId: 123 },
},
{
name: 'notify-warehouse',
queueName: 'notifications',
data: { orderId: 123 },
},
],
});
### Graceful Shutdown
Properly close workers without losing jobs
**When to use**: Deploying or restarting workers
const shutdown = async () => {
console.log('Shutting down gracefully...');
// Stop accepting new jobs
await worker.pause();
// Wait for current jobs to finish (with timeout)
await worker.close();
// Close queue connection
await queue.close();
process.exit(0);
};
process.on('SIGTERM', shutdown);
process.on('SIGINT', shutdown);
### Bull Board Dashboard
Visual monitoring for BullMQ queues
**When to use**: Need visibility into queue status and job states
import { createBullBoard } from '@bull-board/api';
import { BullMQAdapter } from '@bull-board/api/bullMQAdapter';
import { ExpressAdapter } from '@bull-board/express';
const serverAdapter = new ExpressAdapter();
serverAdapter.setBasePath('/admin/queues');
createBullBoard({
queues: [
new BullMQAdapter(emailQueue),
new BullMQAdapter(orderQueue),
],
serverAdapter,
});
app.use('/admin/queues', serverAdapter.getRouter());
## Validation Checks
### Redis connection missing maxRetriesPerRequest
Severity: ERROR
BullMQ requires maxRetriesPerRequest null for proper reconnection handling
Message: BullMQ queue/worker created without maxRetriesPerRequest: null on Redis connection. This will cause workers to stop on Redis connection issues.
### No stalled job event handler
Severity: WARNING
Workers should handle stalled events to detect crashed workers
Message: Worker created without 'stalled' event handler. Stalled jobs indicate worker crashes and should be monitored.
### No failed job event handler
Severity: WARNING
Workers should handle failed events for monitoring and alerting
Message: Worker created without 'failed' event handler. Failed jobs should be logged and monitored.
### No graceful shutdown handling
Severity: WARNING
Workers should gracefully shut down on SIGTERM/SIGINT
Message: Worker file without graceful shutdown handling. Jobs may be orphaned on deployment.
### Awaiting queue.add in request handler
Severity: INFO
Queue additions should be fire-and-forget in request handlers
Message: Queue.add awaited in request handler. Consider fire-and-forget for faster response.
### Potentially large data in job payload
Severity: WARNING
Job data should be small - pass IDs not full objects
Message: Job appears to have large inline data. Pass IDs instead of full objects to keep Redis memory low.
### Job without timeout configuration
Severity: INFO
Jobs should have timeouts to prevent infinite execution
Message: Job added without explicit timeout. Consider adding timeout to prevent stuck jobs.
### Retry without backoff strategy
Severity: WARNING
Retries should use exponential backoff to avoid thundering herd
Message: Job has retry attempts but no backoff strategy. Use exponential backoff to prevent thundering herd.
### Repeatable job without explicit timezone
Severity: WARNING
Repeatable jobs should specify timezone to avoid DST issues
Message: Repeatable job without explicit timezone. Will use server local time which can drift with DST.
### Potentially high worker concurrency
Severity: INFO
High concurrency can overwhelm downstream services
Message: Worker concurrency is high. Ensure downstream services can handle this load (DB connections, API rate limits).
## Collaboration
### Delegation Triggers
- redis infrastructure|redis cluster|memory tuning -> redis-specialist (Queue needs Redis infrastructure)
- serverless queue|edge queue|no redis -> upstash-qstash (Need queues without managing Redis)
- complex workflow|saga|compensation|long-running -> temporal-craftsman (Need workflow orchestration beyond simple jobs)
- event sourcing|CQRS|event streaming -> event-architect (Need event-driven architecture)
- deploy|kubernetes|scaling|infrastructure -> devops (Queue needs infrastructure)
- monitor|metrics|alerting|dashboard -> performance-hunter (Queue needs monitoring)
### Email Queue Stack
Skills: bullmq-specialist, email-systems, redis-specialist
Workflow:
```
1. Email request received (API)
2. Job queued with rate limiting (bullmq-specialist)
3. Worker processes with backoff (bullmq-specialist)
4. Email sent via provider (email-systems)
5. Status tracked in Redis (redis-specialist)
```
### Background Processing Stack
Skills: bullmq-specialist, backend, devops
Workflow:
```
1. API receives request (backend)
2. Long task queued for background (bullmq-specialist)
3. Worker processes async (bullmq-specialist)
4. Result stored/notified (backend)
5. Workers scaled per load (devops)
```
### AI Processing Pipeline
Skills: bullmq-specialist, ai-workflow-automation, performance-hunter
Workflow:
```
1. AI task submitted (ai-workflow-automation)
2. Job flow created with dependencies (bullmq-specialist)
3. Workers process stages (bullmq-specialist)
4. Performance monitored (performance-hunter)
5. Results aggregated (ai-workflow-automation)
```
### Scheduled Tasks Stack
Skills: bullmq-specialist, backend, redis-specialist
Workflow:
```
1. Repeatable jobs defined (bullmq-specialist)
2. Cron patterns with timezone (bullmq-specialist)
3. Jobs execute on schedule (bullmq-specialist)
4. State managed in Redis (redis-specialist)
5. Results handled (backend)
```
## Related Skills
Works well with: `redis-specialist`, `backend`, `nextjs-app-router`, `email-systems`, `ai-workflow-automation`, `performance-hunter`
## When to Use
- User mentions or implies: bullmq
- User mentions or implies: bull queue
- User mentions or implies: redis queue
- User mentions or implies: background job
- User mentions or implies: job queue
- User mentions or implies: delayed job
- User mentions or implies: repeatable job
- User mentions or implies: worker process
- User mentions or implies: job scheduling
- User mentions or implies: async processing
## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
发布日期
5/16/2026
提供方
SkillOPIC
来源类型
导入
sickn33
coding
数据安全
使用 Skill 时,您的对话内容将被发送至 AI 模型进行处理。我们会严格保护您的隐私数据,不会将您的对话内容用于模型训练或分享给第三方。 以下为此 Skill 的数据处理说明。
此 Skill 将处理您的对话输入
您的消息将作为 Prompt 上下文发送至 AI 模型
所有通信均通过加密通道传输
对话记录仅保存在本地
您可以随时清除本地对话历史,清除后数据不可恢复
评分和评价
已验证评分
Skill 信息
了解此 Skill 的详细信息和功能特性
编程开发
后端开发
文件结构
SKILL.md10.0 KB
版本历史
- 公开
- 来源于用户导入
如需详细了解相关要求,请访问帮助中心,或给我们提交反馈信息