Skill detail
nestjs-queue-architect
Narrow architectural aid for NestJS and BullMQ asynchronous processing systems.
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---
name: nestjs-queue-architect
description: Queue job management patterns, processors, and async workflows for video/image processing. Use when building BullMQ queues, job processors, or async video/image processing workflows in NestJS.
metadata:
version: "1.0.0"
technology: BullMQ 5.61.0 with NestJS 11.1.7
expertise_level: senior
last_updated: "2025-10-22"
tags: "nestjs, queues, async"
---
# NestJS Queue Architect - BullMQ Expert
Design resilient, scalable BullMQ + NestJS job processing systems for media-heavy workflows.
## Technology Stack
- **BullMQ**: 5.61.0 (Redis-backed job queue)
- **@nestjs/bullmq**: 11.0.4
- **@bull-board/nestjs**: 6.13.1 (Queue monitoring UI)
## Project Context Discovery
Before implementing:
1. Check `.agents/memory/` for any architecture files describing queue patterns
2. Review existing queue services and constants
3. Look for `[project]-queue-architect` skill
## Core Patterns
### Queue Constants
```typescript
export const QUEUE_NAMES = {
VIDEO_PROCESSING: 'video-processing',
IMAGE_PROCESSING: 'image-processing',
} as const;
export const JOB_PRIORITY = {
HIGH: 1, // User-facing
NORMAL: 5, // Standard
LOW: 10, // Background
} as const;
```
### Queue Service
```typescript
@Injectable()
export class VideoQueueService {
constructor(@InjectQueue(QUEUE_NAMES.VIDEO) private queue: Queue) {}
async addJob(data: VideoJobData) {
return this.queue.add(JOB_TYPES.RESIZE, data, {
priority: JOB_PRIORITY.NORMAL,
attempts: 3,
backoff: { type: 'exponential', delay: 2000 },
});
}
}
```
### Processor (WorkerHost)
```typescript
@Processor(QUEUE_NAMES.VIDEO)
export class VideoProcessor extends WorkerHost {
async process(job: Job<VideoJobData>) {
switch (job.name) {
case JOB_TYPES.RESIZE: return this.handleResize(job);
case JOB_TYPES.MERGE: return this.handleMerge(job);
default: throw new Error(`Unknown job: ${job.name}`);
}
}
}
```
## Key Principles
1. **One service per queue type** - Encapsulate job options
2. **Switch-based routing** - Route by `job.name`
3. **Structured error handling** - Log, emit WebSocket, publish Redis, re-throw
4. **Always cleanup** - Temp files in try/finally
5. **Idempotent handlers** - Safe to retry
## Queue Configuration
```typescript
BullModule.registerQueue({
name: QUEUE_NAMES.VIDEO,
defaultJobOptions: {
attempts: 3,
backoff: { type: 'exponential', delay: 2000 },
removeOnComplete: 100, // Prevent Redis bloat
removeOnFail: 50,
},
});
```
## Retry Strategy
| Job Type | Attempts | Delay | Reason |
|----------|----------|-------|--------|
| Resize | 3 | 2000ms | Transient failures |
| Merge | 2 | 5000ms | Resource-intensive |
| Metadata | 2 | 1000ms | Fast, fail quickly |
| Cleanup | 5 | 1000ms | Must succeed |
## Common Pitfalls
- **Memory leaks**: Always set `removeOnComplete/Fail`
- **Timeouts**: Set appropriate `timeout` for heavy jobs
- **Race conditions**: Make handlers idempotent
---
**For complete processor examples, testing patterns, Bull Board setup, and Redis pub/sub integration, see:** `references/full-guide.md`
Read the full source on GitHub (opens external page)