engineering-bullmq-game-queues

name	engineering-bullmq-game-queues
description	Use when implementing job queues, matchmaking systems, async game events, delayed jobs, or scheduled tasks with BullMQ. Triggers: queue, matchmaking, async events, jobs, workers, scheduling.

BullMQ Game Queues

Purpose

Job queue patterns for games using BullMQ + Redis — matchmaking, async events, delayed jobs, scheduled tasks.

When to Use

Trigger: job queue, matchmaking, async events, delayed jobs, scheduled tasks, BullMQ, background processing, game events, retry strategy, dead letter queue

Prerequisites

• redis-game-patterns (Redis connection)

Core Principles

Will Wright: "Simulation systems benefit from decoupled event processing." Sid Meier: "Queue priorities ensure the most interesting events happen first."

1. Every game action that can be deferred SHOULD be deferred to a queue — keep the game loop responsive
2. Idempotent job processors — same job can run twice safely without side effects
3. Use named queues per domain (matchmaking, events, rewards, notifications)
4. Exponential backoff for retries, dead letter for permanent failures
5. Priority queues for time-sensitive operations (matchmaking > analytics)
6. Delayed jobs for scheduled game events (daily rewards, season changes)
7. Rate limiting per player to prevent abuse

Step-by-Step Instructions

1. Install Dependencies

bun add bullmq ioredis

2. Configure Redis Connection

Use the connection from redis-game-patterns, or create a dedicated one for queues. See templates/queue-config.ts for the full configuration pattern.

3. Define Job Types

Start with the type definitions in templates/job-types.ts. These cover matchmaking, game events, rewards, notifications, and analytics job payloads.

4. Create Queues

Use boilerplate/queues.ts to define typed queues per domain. Each queue has its own retry strategy, concurrency, and priority settings.

5. Implement Workers

See boilerplate/workers.ts for worker implementations. Each worker processes jobs from a specific queue with proper error handling, logging, and result tracking.

6. Schedule Recurring Jobs

Use boilerplate/scheduler.ts to set up cron-based repeatable jobs (daily rewards, leaderboard snapshots, session cleanup) and delayed one-off jobs (season events, timed rewards).

7. Monitor & Observe

Add queue event listeners for completed, failed, and stalled jobs. Integrate with your monitoring stack via monitoring-game-ops.

Code Examples

Adding a matchmaking job

import { matchmakingQueue } from './queues';

await matchmakingQueue.add('find-match', {
  playerId: 'player_123',
  skillRating: 1500,
  region: 'us-east',
  preferences: { mode: 'ranked', teamSize: 2 },
}, { priority: 1 });

Scheduling a delayed reward

import { rewardQueue } from './queues';

await rewardQueue.add('distribute-reward', {
  playerId: 'player_123',
  rewardType: 'daily-login',
  payload: { currency: 100, items: ['item_rare_box'] },
}, { delay: 60_000 }); // 1 minute delay

Processing game events

import { gameEventQueue } from './queues';

await gameEventQueue.add('process-event', {
  eventType: 'match-completed',
  sessionId: 'session_456',
  participants: ['player_123', 'player_456'],
  outcome: { winnerId: 'player_123', duration: 300 },
});

See boilerplate/queues.ts for full queue definitions, boilerplate/workers.ts for worker implementations, and boilerplate/scheduler.ts for scheduled jobs.

Cross-References

• redis-game-patterns for Redis connection and caching
• postgres-game-schema for persisting job results to the database
• game-backend-architecture for integrating queues with the game server
• monitoring-game-ops for queue monitoring and alerting

Pitfalls & Anti-Patterns

• Don't process game-critical logic synchronously when it can be queued — matchmaking, reward distribution, and analytics should never block the game loop
• Don't forget to handle job failures — always set maxRetries + dead letter queue configuration
• Don't use a single monolithic queue for everything — separate queues per domain allow independent scaling and priority tuning
• Don't store large payloads in jobs — store IDs and fetch from the database in the worker; job data should be small and serializable
• Don't skip idempotency — network failures and retries mean jobs can run more than once; always check before mutating state
• Don't ignore stalled jobs — configure stall detection and alerts to catch stuck workers early

Designer Philosophy

Will Wright: Simulation systems benefit from decoupled event processing. Queues let game systems communicate asynchronously, the same way SimCity processes zoning, traffic, and utilities independently. Each queue is a subsystem that can evolve without affecting others.

Sid Meier: Queue priorities ensure the most "interesting" events happen first. A player waiting for a match should never be blocked by analytics processing. Priority levels map directly to player-perceived responsiveness.

Sources

• BullMQ Official Documentation
• Redis Best Practices for Queues
• BullMQ Patterns & Best Practices
• Game Server Architecture Patterns (GDC talks on scalable game backends)