pandora-metrics/dist/common/metrics/FastCompass.d.ts

## Overview

import { Metric } from '../domain';
import { LongBucketCounter } from './LongBucketCounter';
import { Long } from '../../domain';
export interface IFastCompass extends Metric {
    /**
     * 记录一次方法调用的RT和子类别，子类别应当是正交的，不能有重叠
     * 例如 成功/失败
     * record a method invocation with execution time and sub-categories
     * @param duration must be milliseconds
     * @param subCategory all the sub-categories should be orthogonal,
     *                    which will be added up to the total number of method invocations
     */
    record(duration: any, subCategory: any): any;
    /**
     * 对于每个子类别，返回每个统计间隔的方法调用总次数
     * return method count per bucket per category
     * @return
     */
    getMethodCountPerCategory(startTime?: any): Map<string, Map<number, Long>>;
    /**
     * 对于每个子类别，返回每个统计间隔的执行总时间和次数，按位分离操作放到下一层进行
     * return method execution time and count per bucket per category
     * @return
     */
    getMethodRtPerCategory(startTime?: any): Map<string, Map<number, Long>>;
    /**
     * 对于每个子类别，返回每个统计间隔的执行总时间和次数，按位分离操作放到下一层进行
     * return method execution time and count per bucket per category
     * @return
     */
    getCountAndRtPerCategory(startTime: any): Map<string, Map<number, Long>>;
    /**
     * 获取统计间隔
     * @return the bucket interval
     */
    getBucketInterval(): any;
}
/**
 * 通过1个LongAdder来同时完成count和rt的累加操作
 * Java里面1个Long有64个bit, 除去最高位表示符号的1个bit，还有63个bit可以使用
 * 在一个不超过60s统计周期内，方法调用的总次数和总次数其实完全用不到63个bit
 * 所以可以将这两个统计项放到一个long里面来表示
 * 这里高位的25个bit表示统计周期内调用总次数，后38位表示总rt
 */
export declare class BaseFastCompass implements IFastCompass {
    type: string;
    bucketInterval: any;
    numberOfBuckets: any;
    maxCategoryCount: any;
    subCategories: Map<string, LongBucketCounter>;
    constructor(bucketInterval?: number, numberOfBuckets?: number, maxCategoryCount?: number);
    record(duration: number, subCategory: string): void;
    getMethodCountPerCategory(startTime?: number): Map<string, Map<number, Long>>;
    getMethodRtPerCategory(startTime?: number): Map<string, Map<number, Long>>;
    getBucketInterval(): any;
    getCountAndRtPerCategory(startTime?: number): Map<string, Map<number, Long>>;
}