budd/src/main/java/io/github/ehlxr/rate/SlideWindow.java

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Java
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/*
* The MIT License (MIT)
*
* Copyright © 2020 xrv <xrg@live.com>
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
package io.github.ehlxr.rate;
import java.util.LinkedList;
import java.util.List;
import java.util.Random;
import java.util.concurrent.TimeUnit;
/**
* 滑动时间窗口限流工具
* 本限流工具只适用于单机版如果想要做全局限流可以按本程序的思想用redis的List结构去实现
* https://www.cnblogs.com/dijia478/p/13807826.html#!comments
*
* @author dijia478
* @date 2020-10-13 10:53
*/
public class SlideWindow {
/**
* 限制次数
*/
private final int count;
/**
* 时间窗口大小(毫秒)
*/
private final long timeWindow;
/**
* 限流队列
*/
private final List<Long> list;
public SlideWindow(int count, long timeWindow) {
this.count = count;
this.timeWindow = timeWindow;
list = new LinkedList<>();
}
/**
* 滑动时间窗口限流算法
* 在指定时间窗口,指定限制次数内,是否允许通过
*
* @return 是否允许通过
*/
public synchronized boolean acquire() {
// 获取当前时间
long nowTime = System.currentTimeMillis();
// 如果队列还没满,则允许通过,并添加当前时间戳到队列开始位置
if (list.size() < count) {
// 把之前这个位置的数据给依次向后移动
list.add(0, nowTime);
return true;
}
// 队列已满(达到限制次数),则获取队列中最早添加的时间戳
// 用当前时间戳 减去 最早添加的时间戳
if (nowTime - list.get(count - 1) <= timeWindow) {
// 若结果小于等于timeWindow则说明在timeWindow内通过的次数大于count
// 不允许通过
return false;
} else {
// 若结果大于timeWindow则说明在timeWindow内通过的次数小于等于count
// 允许通过,并删除最早添加的时间戳,将当前时间添加到队列开始位置
list.remove(count - 1);
list.add(0, nowTime);
return true;
}
}
public synchronized void tryAcquire() throws InterruptedException {
long nowTime = System.currentTimeMillis();
if (list.size() < count) {
list.add(0, nowTime);
return;
}
long l = nowTime - list.get(count - 1);
if (l <= timeWindow) {
// 等待
TimeUnit.MILLISECONDS.sleep(timeWindow - l);
tryAcquire();
} else {
list.remove(count - 1);
list.add(0, nowTime);
}
}
public static void main(String[] args) throws InterruptedException {
SlideWindow slideWindow = new SlideWindow(5, 1000);
while (true) {
// 任意1秒内只允许5次通过
// if (slideWindow.acquire()) {
// System.out.println(System.currentTimeMillis());
// }
slideWindow.tryAcquire();
System.out.println(System.currentTimeMillis());
// 睡眠0-10ms
Thread.sleep(new Random().nextInt(10));
}
}
}