tencentcloud-edgeone-migration-nodejs-v2
Version:
tencentcloud cdn config copy to edgeone
62 lines (61 loc) • 1.92 kB
TypeScript
import { PluginType, TrafficShapingPlugin } from "../../plugins";
import { RatelimitRule } from "../../rules";
declare const kDefaultOptions: {
/**
* 预热时间 (s)
*/
warmTime: number;
/**
* 预警因子
* 需大于等于 2
*/
warnFactor: number;
/**
* 空闲回收周期
*/
idlePeriod: number;
};
export declare type WarmUpTrafficShapingOptions = typeof kDefaultOptions;
/**
*
* 预热算法是一个另类的令牌桶算法，此算法实现（描述）了下述函数图像：
*
* ```
* ^ 1/QPS
* |
* 1/coldQPS + /
* | / .
* | / .
* | / .
* | / .
* | / .
* | / .
* | / .
* | / .
* 1/stableQPS +----------/ .
* | . Warm . ← `warmTime` = `warningTokens` 与 `maxTokens` 之间的面积
* | . Time .
* | . .
* 0 +----------+---------+---------------→ currentTokens
* 0 warningTokens maxTokens
* ```
*
* 函数各变量满足如下关系：
* * coldQPS = stableQPS/warnFactor
* * (warningTokens/stableQPS)/(warmTime) = 1/(warnFactor-1)
*/
export declare class WarmUpTrafficShaping implements TrafficShapingPlugin {
readonly type = PluginType.TrafficShaping;
readonly name: string;
private readonly options;
private readonly buckets;
private disposed;
constructor(options?: Partial<WarmUpTrafficShapingOptions>);
dispose(): void;
get isDisposed(): boolean;
inFlow(rule: RatelimitRule, partition: number): Promise<void>;
private timerTask;
private calculateQPS;
private buildBucket;
}
export {};