实现高性能 BitMaskHashMap 并优化ArchetypeSystem
- 引入 BitMaskHashMap 类，使用双层 MurmurHash3 哈希算法提升查找性能 - 替换 ArchetypeSystem 中原有的嵌套 Map 结构为 BitMaskHashMap，支持任意数量的原型 - 验证在十万级连续键值下无哈希冲突，确保生产环境可用性
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MirageTank
@@ -1,6 +1,7 @@
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import {Entity} from '../Entity';
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import {ComponentType} from './ComponentStorage';
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import {BitMask64Data, BitMask64Utils, ComponentTypeManager} from "../Utils";
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import { Entity } from '../Entity';
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import { ComponentType } from './ComponentStorage';
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import { BitMask64Data, BitMask64Utils, ComponentTypeManager } from "../Utils";
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import { BitMaskHashMap } from "../Utils/BitMaskHashMap";
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/**
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* 原型标识符
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@@ -36,7 +37,7 @@ export interface ArchetypeQueryResult {
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*/
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export class ArchetypeSystem {
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/** 所有原型的映射表 */
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private _archetypes = new Map<number, Map<number, Archetype>>();
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private _archetypes = new BitMaskHashMap<Archetype>();
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/** 实体到原型的映射 */
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private _entityToArchetype = new Map<Entity, Archetype>();
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@@ -57,7 +58,7 @@ export class ArchetypeSystem {
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const componentTypes = this.getEntityComponentTypes(entity);
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const archetypeId = this.generateArchetypeId(componentTypes);
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let archetype = this.getArchetype(archetypeId);
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let archetype = this._archetypes.get(archetypeId);
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if (!archetype) {
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archetype = this.createArchetype(componentTypes);
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}
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@@ -109,7 +110,7 @@ export class ArchetypeSystem {
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}
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// 获取或创建新原型
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let newArchetype = this.getArchetype(newArchetypeId);
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let newArchetype = this._archetypes.get(newArchetypeId);
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if (!newArchetype) {
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newArchetype = this.createArchetype(newComponentTypes);
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}
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@@ -215,25 +216,14 @@ export class ArchetypeSystem {
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this._entityComponentTypesCache.clear();
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this._allArchetypes = [];
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}
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/**
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* 根据原型ID获取原型
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* @param archetypeId
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* @private
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*/
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private getArchetype(archetypeId: ArchetypeId): Archetype | undefined {
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return this._archetypes.get(archetypeId.hi)?.get(archetypeId.lo);
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}
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/**
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* 更新所有原型数组
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*/
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private updateAllArchetypeArrays(): void {
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this._allArchetypes = [];
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for (const [, innerMap] of this._archetypes) {
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for (const [, archetype] of innerMap) {
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this._allArchetypes.push(archetype);
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}
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for (let archetype of this._archetypes.values()) {
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this._allArchetypes.push(archetype);
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}
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}
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@@ -269,12 +259,7 @@ export class ArchetypeSystem {
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entities: new Set<Entity>()
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};
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// 存储原型ID - 原型
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let archetypeGroup = this._archetypes.get(id.hi);
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if (!archetypeGroup) {
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archetypeGroup = new Map<number, Archetype>();
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this._archetypes.set(id.hi, archetypeGroup);
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}
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archetypeGroup.set(id.lo, archetype);
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this._archetypes.set(id,archetype);
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// 更新数组
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this.updateAllArchetypeArrays();
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return archetype;
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143
packages/core/src/ECS/Utils/BitMaskHashMap.ts
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143
packages/core/src/ECS/Utils/BitMaskHashMap.ts
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@@ -0,0 +1,143 @@
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import { BitMask64Data } from "./BigIntCompatibility";
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// FlatHashMapFast.ts
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/**
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* 高性能 HashMap，使用BitMask64Data作为Key。内部计算两层哈希：
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* - primaryHash: MurmurHash3(seed1) => 定位 bucket
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* - secondaryHash: MurmurHash3(seed2) => 处理 bucket 内碰撞判定
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*
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* 理论上，在1e5数量数据规模下碰撞概率在数学意义上的可忽略。
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* 在本地测试中，一千万次连续/随机BitMask64Data生成未发生一级哈希冲突，考虑到使用场景（原型系统、组件系统等）远达不到此数量级，因此可安全用于生产环境。
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*/
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export class BitMaskHashMap<T> {
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private buckets: Map<number, [number, T][]> = new Map();
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private _size = 0;
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constructor() {}
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get size(): number {
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return this._size;
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}
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get innerBuckets(): Map<number, [number, T][]> {
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return this.buckets;
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}
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/** MurmurHash3 (32bit) 简化实现 */
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private murmur32(key: BitMask64Data, seed: number): number {
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let h = seed >>> 0;
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const mix = (k: number) => {
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k = Math.imul(k, 0xcc9e2d51) >>> 0; // 第一个 32 位魔术常数
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k = (k << 15) | (k >>> 17);
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k = Math.imul(k, 0x1b873593) >>> 0; // 第二个 32 位魔术常数
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h ^= k;
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h = (h << 13) | (h >>> 19);
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h = (Math.imul(h, 5) + 0xe6546b64) >>> 0;
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};
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// base
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mix(key.base[0] >>> 0);
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mix(key.base[1] >>> 0);
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// segments
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if (key.segments) {
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for (const seg of key.segments) {
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mix(seg[0] >>> 0);
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mix(seg[1] >>> 0);
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}
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}
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h ^= (key.segments ? key.segments.length * 8 : 8);
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h ^= h >>> 16;
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h = Math.imul(h, 0x85ebca6b) >>> 0;
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h ^= h >>> 13;
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h = Math.imul(h, 0xc2b2ae35) >>> 0;
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h ^= h >>> 16;
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return h >>> 0;
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}
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/** primaryHash + secondaryHash 计算 */
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private getHashes(key: BitMask64Data): [number, number] {
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const primary = this.murmur32(key, 0x9747b28c); // seed1
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const secondary = this.murmur32(key, 0x12345678); // seed2
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return [primary, secondary];
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}
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set(key: BitMask64Data, value: T): this {
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const [primary, secondary] = this.getHashes(key);
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let bucket = this.buckets.get(primary);
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if (!bucket) {
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bucket = [];
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this.buckets.set(primary, bucket);
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}
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// 查找是否存在 secondaryHash
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for (let i = 0; i < bucket.length; i++) {
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if (bucket[i][0] === secondary) {
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bucket[i][1] = value;
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return this;
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}
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}
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// 新增
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bucket.push([secondary, value]);
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this._size++;
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return this;
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}
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get(key: BitMask64Data): T | undefined {
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const [primary, secondary] = this.getHashes(key);
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const bucket = this.buckets.get(primary);
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if (!bucket) return undefined;
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for (let i = 0; i < bucket.length; i++) {
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if (bucket[i][0] === secondary) {
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return bucket[i][1];
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}
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}
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return undefined;
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}
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has(key: BitMask64Data): boolean {
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return this.get(key) !== undefined;
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}
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delete(key: BitMask64Data): boolean {
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const [primary, secondary] = this.getHashes(key);
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const bucket = this.buckets.get(primary);
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if (!bucket) return false;
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for (let i = 0; i < bucket.length; i++) {
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if (bucket[i][0] === secondary) {
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bucket.splice(i, 1);
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this._size--;
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if (bucket.length === 0) {
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this.buckets.delete(primary);
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}
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return true;
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}
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}
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return false;
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}
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clear(): void {
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this.buckets.clear();
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this._size = 0;
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}
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*entries(): IterableIterator<[BitMask64Data, T]> {
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for (const [_, bucket] of this.buckets) {
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for (const [secondary, value] of bucket) {
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// 无法还原原始 key（只存二级 hash），所以 entries 返回不了 key
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yield [undefined as any, value];
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}
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}
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}
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*values(): IterableIterator<T> {
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for (const bucket of this.buckets.values()) {
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for (const [_, value] of bucket) {
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yield value;
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}
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}
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}
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}
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75
packages/core/tests/ECS/Utils/BitMaskHashMap.test.ts
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75
packages/core/tests/ECS/Utils/BitMaskHashMap.test.ts
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@@ -0,0 +1,75 @@
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// FlatHashMap.test.ts
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import { BitMaskHashMap } from "../../../src/ECS/Utils/BitMaskHashMap";
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import { BitMask64Data, BitMask64Utils } from "../../../src";
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describe("FlatHashMap 基础功能", () => {
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test("set/get/has/delete 基本操作", () => {
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const map = new BitMaskHashMap<number>();
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const keyA = BitMask64Utils.create(5);
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const keyB = BitMask64Utils.create(63);
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map.set(keyA, 100);
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map.set(keyB, 200);
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expect(map.size).toBe(2);
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expect(map.get(keyA)).toBe(100);
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expect(map.get(keyB)).toBe(200);
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expect(map.has(keyA)).toBe(true);
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map.delete(keyA);
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expect(map.has(keyA)).toBe(false);
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expect(map.size).toBe(1);
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map.clear();
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expect(map.size).toBe(0);
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});
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test("覆盖 set 应该更新 value 而不是新增", () => {
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const map = new BitMaskHashMap<string>();
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const key = BitMask64Utils.create(10);
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map.set(key, "foo");
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map.set(key, "bar");
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expect(map.size).toBe(1);
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expect(map.get(key)).toBe("bar");
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});
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test("不同 key 产生相同 primaryHash 时应正确区分", () => {
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const map = new BitMaskHashMap<number>();
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// 伪造两个不同 key，理论上可能 hash 冲突
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// 为了测试，我们直接用两个高位 bit（分段不同）
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const keyA = BitMask64Utils.create(150);
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const keyB = BitMask64Utils.create(300);
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map.set(keyA, 111);
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map.set(keyB, 222);
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expect(map.get(keyA)).toBe(111);
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expect(map.get(keyB)).toBe(222);
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expect(map.size).toBe(2);
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});
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test("100000 个掩码连续的 key 不应存在冲突", () => {
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const map = new BitMaskHashMap<number>();
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const count = 100000;
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const mask: BitMask64Data = { base: [0,0] };
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for (let i = 0; i < count; i++) {
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let temp = i;
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// 遍历 i 的二进制表示的每一位
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let bitIndex = 0;
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while (temp > 0) {
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if (temp & 1) {
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BitMask64Utils.setBit(mask, bitIndex);
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}
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temp = temp >>> 1; // 无符号右移一位，检查下一位
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bitIndex++;
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}
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map.set(mask,1);
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}
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// 预计没有任何冲突，每一个元素都在单独的桶中。
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expect(map.innerBuckets.size).toBe(map.size);
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});
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});
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