Worker系统
Worker系统(WorkerEntitySystem)是ECS框架中基于Web Worker的多线程处理系统,专为计算密集型任务设计,能够充分利用多核CPU性能,实现真正的并行计算。
核心特性
- 真正的并行计算:利用Web Worker在后台线程执行计算密集型任务
- 自动负载均衡:根据CPU核心数自动分配工作负载
- SharedArrayBuffer优化:零拷贝数据共享,提升大规模计算性能
- 降级支持:不支持Worker时自动回退到主线程处理
- 类型安全:完整的TypeScript支持和类型检查
基本用法
简单的物理系统示例
typescript
interface PhysicsData {
id: number;
x: number;
y: number;
vx: number;
vy: number;
mass: number;
radius: number;
}
@ECSSystem('Physics')
class PhysicsWorkerSystem extends WorkerEntitySystem<PhysicsData> {
constructor() {
super(Matcher.all(Position, Velocity, Physics), {
enableWorker: true, // 启用Worker并行处理
workerCount: 8, // Worker数量,系统会自动限制在硬件支持范围内
entitiesPerWorker: 100, // 每个Worker处理的实体数量
useSharedArrayBuffer: true, // 启用SharedArrayBuffer优化
entityDataSize: 7, // 每个实体数据大小
maxEntities: 10000, // 最大实体数量
systemConfig: { // 传递给Worker的配置
gravity: 100,
friction: 0.95
}
});
}
// 数据提取:将Entity转换为可序列化的数据
protected extractEntityData(entity: Entity): PhysicsData {
const position = entity.getComponent(Position);
const velocity = entity.getComponent(Velocity);
const physics = entity.getComponent(Physics);
return {
id: entity.id,
x: position.x,
y: position.y,
vx: velocity.x,
vy: velocity.y,
mass: physics.mass,
radius: physics.radius
};
}
// Worker处理函数:纯函数,在Worker中执行
protected workerProcess(
entities: PhysicsData[],
deltaTime: number,
config: any
): PhysicsData[] {
return entities.map(entity => {
// 应用重力
entity.vy += config.gravity * deltaTime;
// 更新位置
entity.x += entity.vx * deltaTime;
entity.y += entity.vy * deltaTime;
// 应用摩擦力
entity.vx *= config.friction;
entity.vy *= config.friction;
return entity;
});
}
// 结果应用:将Worker处理结果应用回Entity
protected applyResult(entity: Entity, result: PhysicsData): void {
const position = entity.getComponent(Position);
const velocity = entity.getComponent(Velocity);
position.x = result.x;
position.y = result.y;
velocity.x = result.vx;
velocity.y = result.vy;
}
// SharedArrayBuffer优化支持
protected getDefaultEntityDataSize(): number {
return 7; // id, x, y, vx, vy, mass, radius
}
protected writeEntityToBuffer(entityData: PhysicsData, offset: number): void {
if (!this.sharedFloatArray) return;
this.sharedFloatArray[offset + 0] = entityData.id;
this.sharedFloatArray[offset + 1] = entityData.x;
this.sharedFloatArray[offset + 2] = entityData.y;
this.sharedFloatArray[offset + 3] = entityData.vx;
this.sharedFloatArray[offset + 4] = entityData.vy;
this.sharedFloatArray[offset + 5] = entityData.mass;
this.sharedFloatArray[offset + 6] = entityData.radius;
}
protected readEntityFromBuffer(offset: number): PhysicsData | null {
if (!this.sharedFloatArray) return null;
return {
id: this.sharedFloatArray[offset + 0],
x: this.sharedFloatArray[offset + 1],
y: this.sharedFloatArray[offset + 2],
vx: this.sharedFloatArray[offset + 3],
vy: this.sharedFloatArray[offset + 4],
mass: this.sharedFloatArray[offset + 5],
radius: this.sharedFloatArray[offset + 6]
};
}
}
配置选项
Worker系统支持丰富的配置选项:
typescript
interface WorkerSystemConfig {
/** 是否启用Worker并行处理 */
enableWorker?: boolean;
/** Worker数量,默认为CPU核心数,自动限制在系统最大值内 */
workerCount?: number;
/** 每个Worker处理的实体数量,用于控制负载分布 */
entitiesPerWorker?: number;
/** 系统配置数据,会传递给Worker */
systemConfig?: any;
/** 是否使用SharedArrayBuffer优化 */
useSharedArrayBuffer?: boolean;
/** 每个实体在SharedArrayBuffer中占用的Float32数量 */
entityDataSize?: number;
/** 最大实体数量(用于预分配SharedArrayBuffer) */
maxEntities?: number;
}
配置建议
typescript
constructor() {
super(matcher, {
// 根据任务复杂度决定是否启用
enableWorker: this.shouldUseWorker(),
// Worker数量:系统会自动限制在硬件支持范围内
workerCount: 8, // 请求8个Worker,实际数量受CPU核心数限制
// 每个Worker处理的实体数量(可选)
entitiesPerWorker: 200, // 精确控制负载分布
// 大量简单计算时启用SharedArrayBuffer
useSharedArrayBuffer: this.entityCount > 1000,
// 根据实际数据结构设置
entityDataSize: 8, // 确保与数据结构匹配
// 预估最大实体数量
maxEntities: 10000,
// 传递给Worker的全局配置
systemConfig: {
gravity: 9.8,
friction: 0.95,
worldBounds: { width: 1920, height: 1080 }
}
});
}
private shouldUseWorker(): boolean {
// 根据实体数量和计算复杂度决定
return this.expectedEntityCount > 100;
}
// 获取系统信息
getSystemInfo() {
const info = this.getWorkerInfo();
console.log(`Worker数量: ${info.workerCount}/${info.maxSystemWorkerCount}`);
console.log(`每Worker实体数: ${info.entitiesPerWorker || '自动分配'}`);
console.log(`当前模式: ${info.currentMode}`);
}
处理模式
Worker系统支持两种处理模式:
1. 传统Worker模式
数据通过序列化在主线程和Worker间传递:
typescript
// 适用于:复杂计算逻辑,实体数量适中
constructor() {
super(matcher, {
enableWorker: true,
useSharedArrayBuffer: false, // 使用传统模式
workerCount: 2
});
}
protected workerProcess(entities: EntityData[], deltaTime: number): EntityData[] {
// 复杂的算法逻辑
return entities.map(entity => {
// AI决策、路径规划等复杂计算
return this.complexAILogic(entity, deltaTime);
});
}
2. SharedArrayBuffer模式
零拷贝数据共享,适合大量简单计算:
typescript
// 适用于:大量实体的简单计算
constructor() {
super(matcher, {
enableWorker: true,
useSharedArrayBuffer: true, // 启用共享内存
entityDataSize: 6,
maxEntities: 10000
});
}
protected getSharedArrayBufferProcessFunction(): SharedArrayBufferProcessFunction {
return function(sharedFloatArray: Float32Array, startIndex: number, endIndex: number, deltaTime: number, config: any) {
const entitySize = 6;
for (let i = startIndex; i < endIndex; i++) {
const offset = i * entitySize;
// 读取数据
let x = sharedFloatArray[offset];
let y = sharedFloatArray[offset + 1];
let vx = sharedFloatArray[offset + 2];
let vy = sharedFloatArray[offset + 3];
// 物理计算
vy += config.gravity * deltaTime;
x += vx * deltaTime;
y += vy * deltaTime;
// 写回数据
sharedFloatArray[offset] = x;
sharedFloatArray[offset + 1] = y;
sharedFloatArray[offset + 2] = vx;
sharedFloatArray[offset + 3] = vy;
}
};
}
完整示例:粒子物理系统
一个包含碰撞检测的完整粒子物理系统:
typescript
interface ParticleData {
id: number;
x: number;
y: number;
dx: number;
dy: number;
mass: number;
radius: number;
bounce: number;
friction: number;
}
@ECSSystem('ParticlePhysics')
class ParticlePhysicsWorkerSystem extends WorkerEntitySystem<ParticleData> {
constructor() {
super(Matcher.all(Position, Velocity, Physics, Renderable), {
enableWorker: true,
workerCount: 6, // 请求6个Worker,自动限制在CPU核心数内
entitiesPerWorker: 150, // 每个Worker处理150个粒子
useSharedArrayBuffer: true,
entityDataSize: 9,
maxEntities: 5000,
systemConfig: {
gravity: 100,
canvasWidth: 800,
canvasHeight: 600,
groundFriction: 0.98
}
});
}
protected extractEntityData(entity: Entity): ParticleData {
const position = entity.getComponent(Position);
const velocity = entity.getComponent(Velocity);
const physics = entity.getComponent(Physics);
const renderable = entity.getComponent(Renderable);
return {
id: entity.id,
x: position.x,
y: position.y,
dx: velocity.dx,
dy: velocity.dy,
mass: physics.mass,
radius: renderable.size,
bounce: physics.bounce,
friction: physics.friction
};
}
protected workerProcess(
entities: ParticleData[],
deltaTime: number,
config: any
): ParticleData[] {
const result = entities.map(e => ({ ...e }));
// 基础物理更新
for (const particle of result) {
// 应用重力
particle.dy += config.gravity * deltaTime;
// 更新位置
particle.x += particle.dx * deltaTime;
particle.y += particle.dy * deltaTime;
// 边界碰撞
if (particle.x <= particle.radius) {
particle.x = particle.radius;
particle.dx = -particle.dx * particle.bounce;
} else if (particle.x >= config.canvasWidth - particle.radius) {
particle.x = config.canvasWidth - particle.radius;
particle.dx = -particle.dx * particle.bounce;
}
if (particle.y <= particle.radius) {
particle.y = particle.radius;
particle.dy = -particle.dy * particle.bounce;
} else if (particle.y >= config.canvasHeight - particle.radius) {
particle.y = config.canvasHeight - particle.radius;
particle.dy = -particle.dy * particle.bounce;
particle.dx *= config.groundFriction;
}
// 空气阻力
particle.dx *= particle.friction;
particle.dy *= particle.friction;
}
// 粒子间碰撞检测(O(n²)算法)
for (let i = 0; i < result.length; i++) {
for (let j = i + 1; j < result.length; j++) {
const p1 = result[i];
const p2 = result[j];
const dx = p2.x - p1.x;
const dy = p2.y - p1.y;
const distance = Math.sqrt(dx * dx + dy * dy);
const minDistance = p1.radius + p2.radius;
if (distance < minDistance && distance > 0) {
// 分离粒子
const nx = dx / distance;
const ny = dy / distance;
const overlap = minDistance - distance;
p1.x -= nx * overlap * 0.5;
p1.y -= ny * overlap * 0.5;
p2.x += nx * overlap * 0.5;
p2.y += ny * overlap * 0.5;
// 弹性碰撞
const relativeVelocityX = p2.dx - p1.dx;
const relativeVelocityY = p2.dy - p1.dy;
const velocityAlongNormal = relativeVelocityX * nx + relativeVelocityY * ny;
if (velocityAlongNormal > 0) continue;
const restitution = (p1.bounce + p2.bounce) * 0.5;
const impulseScalar = -(1 + restitution) * velocityAlongNormal / (1/p1.mass + 1/p2.mass);
p1.dx -= impulseScalar * nx / p1.mass;
p1.dy -= impulseScalar * ny / p1.mass;
p2.dx += impulseScalar * nx / p2.mass;
p2.dy += impulseScalar * ny / p2.mass;
}
}
}
return result;
}
protected applyResult(entity: Entity, result: ParticleData): void {
if (!entity?.enabled) return;
const position = entity.getComponent(Position);
const velocity = entity.getComponent(Velocity);
if (position && velocity) {
position.set(result.x, result.y);
velocity.set(result.dx, result.dy);
}
}
protected getDefaultEntityDataSize(): number {
return 9;
}
protected writeEntityToBuffer(data: ParticleData, offset: number): void {
if (!this.sharedFloatArray) return;
this.sharedFloatArray[offset + 0] = data.id;
this.sharedFloatArray[offset + 1] = data.x;
this.sharedFloatArray[offset + 2] = data.y;
this.sharedFloatArray[offset + 3] = data.dx;
this.sharedFloatArray[offset + 4] = data.dy;
this.sharedFloatArray[offset + 5] = data.mass;
this.sharedFloatArray[offset + 6] = data.radius;
this.sharedFloatArray[offset + 7] = data.bounce;
this.sharedFloatArray[offset + 8] = data.friction;
}
protected readEntityFromBuffer(offset: number): ParticleData | null {
if (!this.sharedFloatArray) return null;
return {
id: this.sharedFloatArray[offset + 0],
x: this.sharedFloatArray[offset + 1],
y: this.sharedFloatArray[offset + 2],
dx: this.sharedFloatArray[offset + 3],
dy: this.sharedFloatArray[offset + 4],
mass: this.sharedFloatArray[offset + 5],
radius: this.sharedFloatArray[offset + 6],
bounce: this.sharedFloatArray[offset + 7],
friction: this.sharedFloatArray[offset + 8]
};
}
// 性能监控
public getPerformanceInfo(): {
enabled: boolean;
workerCount: number;
entitiesPerWorker?: number;
maxSystemWorkerCount: number;
entityCount: number;
isProcessing: boolean;
currentMode: string;
} {
const workerInfo = this.getWorkerInfo();
return {
...workerInfo,
entityCount: this.entities.length
};
}
}
适用场景
Worker系统特别适合以下场景:
1. 物理模拟
- 重力系统:大量实体的重力计算
- 碰撞检测:复杂的碰撞算法
- 流体模拟:粒子流体系统
- 布料模拟:顶点物理计算
2. AI计算
- 路径寻找:A*、Dijkstra等算法
- 行为树:复杂的AI决策逻辑
- 群体智能:鸟群、鱼群算法
- 神经网络:简单的AI推理
3. 数据处理
- 大量实体更新:状态机、生命周期管理
- 统计计算:游戏数据分析
- 图像处理:纹理生成、效果计算
- 音频处理:音效合成、频谱分析
最佳实践
1. Worker函数要求
typescript
// ✅ 推荐:Worker处理函数是纯函数
protected workerProcess(entities: PhysicsData[], deltaTime: number, config: any): PhysicsData[] {
// 只使用参数和标准JavaScript API
return entities.map(entity => {
// 纯计算逻辑,不依赖外部状态
entity.y += entity.velocity * deltaTime;
return entity;
});
}
// ❌ 避免:在Worker函数中使用外部引用
protected workerProcess(entities: PhysicsData[], deltaTime: number): PhysicsData[] {
// this 和外部变量在Worker中不可用
return entities.map(entity => {
entity.y += this.someProperty; // ❌ 错误
return entity;
});
}
2. 数据设计
typescript
// ✅ 推荐:合理的数据设计
interface SimplePhysicsData {
x: number;
y: number;
vx: number;
vy: number;
// 保持数据结构简单,便于序列化
}
// ❌ 避免:复杂的嵌套对象
interface ComplexData {
transform: {
position: { x: number; y: number };
rotation: { angle: number };
};
// 复杂嵌套结构增加序列化开销
}
3. Worker数量控制
typescript
// ✅ 推荐:灵活的Worker配置
constructor() {
super(matcher, {
// 直接指定需要的Worker数量,系统会自动限制在硬件支持范围内
workerCount: 8, // 请求8个Worker
entitiesPerWorker: 100, // 每个Worker处理100个实体
enableWorker: this.shouldUseWorker(), // 条件启用
});
}
private shouldUseWorker(): boolean {
// 根据实体数量和复杂度决定是否使用Worker
return this.expectedEntityCount > 100;
}
// 获取实际使用的Worker信息
checkWorkerConfiguration() {
const info = this.getWorkerInfo();
console.log(`请求Worker数量: 8`);
console.log(`实际Worker数量: ${info.workerCount}`);
console.log(`系统最大支持: ${info.maxSystemWorkerCount}`);
console.log(`每Worker实体数: ${info.entitiesPerWorker || '自动分配'}`);
}
4. 性能监控
typescript
// ✅ 推荐:性能监控
public getPerformanceMetrics(): WorkerPerformanceMetrics {
return {
...this.getWorkerInfo(),
entityCount: this.entities.length,
averageProcessTime: this.getAverageProcessTime(),
workerUtilization: this.getWorkerUtilization()
};
}
性能优化建议
1. 计算密集度评估
只对计算密集型任务使用Worker,避免在简单计算上增加线程开销。
2. 数据传输优化
- 使用SharedArrayBuffer减少序列化开销
- 保持数据结构简单和扁平
- 避免频繁的大数据传输
3. 降级策略
始终提供主线程回退方案,确保在不支持Worker的环境中正常运行。
4. 内存管理
及时清理Worker池和共享缓冲区,避免内存泄漏。
5. 负载均衡
使用 entitiesPerWorker
参数精确控制负载分布,避免某些Worker空闲而其他Worker过载。
在线演示
查看完整的Worker系统演示:Worker系统演示
该演示展示了:
- 多线程物理计算
- 实时性能对比
- SharedArrayBuffer优化
- 大量实体的并行处理
Worker系统为ECS框架提供了强大的并行计算能力,让你能够充分利用现代多核处理器的性能,为复杂的游戏逻辑和计算密集型任务提供了高效的解决方案。