JAVA WEB项目中开启流量控制Filter

时间:2021-05-17 03:56:03
Flow Control:控流的概念
  • 主要是用来限定server所能承载的最大(高并发)流量峰值,以免在峰值是Server过载而宕机,对于WEB系统而言
  • 通常是分布式部署,如果请求并发量很大,会导致整个集群崩溃,也就是通常所说的“雪崩效应”。
  • 所以,我们不仅在网络代理层面(比如nginx)设置流量控制以抵抗、拒止溢出流量,
  • 我们还应该在application server层面有一定的自我保护策略,确保当前JVM的负载应该在可控范围之内,对于JVM承载能力之外的请求,应该被合理管理。

本文开发了一个分布式流量控制Filter,来限定application的并发量:


1)对于过量的请求,首先将请求buffer在队列中。


2)当buffer队列满时,多余的请求将会被直接拒绝。(过载请求量)


3)那些buffer中被阻塞的请求,等待一定时间后任然无法被执行,则直接返回错误URL。(溢出请求量)


4)我们设定一个允许的并发量,通过java中Semaphore控制。只有获取“锁”的请求,才能继续执行。


web.xml配置

<filter>
<filter-name>flowControlFilter</filter-name>
<filter-class>com.demo.security.FlowControlFilter</filter-class>
<init-param>
<param-name>permits</param-name>
<param-value>128</param-value>
</init-param>
<init-param>
<param-name>timeout</param-name>
<param-value>15000</param-value>
</init-param>
<init-param>
<param-name>bufferSize</param-name>
<param-value>500</param-value>
</init-param>
<init-param>
<param-name>errorUrl</param-name>
<param-value>/error.html</param-value>
</init-param>
</filter>
<filter-mapping>
<filter-name>flowControlFilter</filter-name>
<url-pattern>/*</url-pattern>
</filter-mapping>

Java代码:

package com.src.java.filter;

import java.io.IOException;
import java.util.LinkedList;
import java.util.Queue;
import java.util.concurrent.BlockingQueue;
import java.util.concurrent.LinkedBlockingQueue;
import java.util.concurrent.Semaphore;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.locks.LockSupport;
import javax.servlet.Filter;
import javax.servlet.FilterChain;
import javax.servlet.FilterConfig;
import javax.servlet.ServletException;
import javax.servlet.ServletRequest;
import javax.servlet.ServletResponse;
import javax.servlet.http.HttpServletResponse; /**
*
* @ClassName: FlowControlFilter
* @Description: 分布式系统流量控制
* @author chinasoft_liuhanlin
* @date 2017年6月1日 下午3:57:08
*/
public class FlowControlFilter implements Filter { /**
* 最大并发量 默认为500
*/
private int permits = Runtime.getRuntime().availableProcessors() + 1; /**
* 当并发量达到permits后,新的请求将会被buffer,buffer最大尺寸 如果buffer已满,则直接拒绝
*/
private int bufferSize = 500;
/**
* buffer中的请求被阻塞,此值用于控制最大阻塞时间 默认阻塞时间
*/
private long timeout = 30000;
/**
* 跳转的错误页面
*/
private String errorUrl; private BlockingQueue<Node> waitingQueue; private Thread selectorThread;
private Semaphore semaphore; private Object lock = new Object(); @Override
public void destroy() { } /**
* <p>
* Title: doFilter
* </p>
* <p>
* Description:
* </p>
*
* @param request
* @param response
* @param chain
* @throws IOException
* @throws ServletException
* @see javax.servlet.Filter#doFilter(javax.servlet.ServletRequest,
* javax.servlet.ServletResponse, javax.servlet.FilterChain)
*/
@Override
public void doFilter(ServletRequest request, ServletResponse response, FilterChain chain) throws IOException, ServletException {
checkSelector();
Thread t = Thread.currentThread();
HttpServletResponse httpServletResponse = (HttpServletResponse) response; Node node = new Node(t, false);
boolean buffered = waitingQueue.offer(node);
// 如果buffer已满
if (!buffered) {
if (errorUrl != null) {
httpServletResponse.sendRedirect(errorUrl);
}
return;
}
long deadline = System.currentTimeMillis() + timeout;
// 进入等待队列后,当前线程阻塞
LockSupport.parkNanos(this, TimeUnit.MICROSECONDS.toNanos(timeout));
if (t.isInterrupted()) {
// 如果线程是中断返回
t.interrupted();// clear status }
// 如果等待过期,则直接返回
if (deadline >= System.currentTimeMillis()) {
if (errorUrl != null) {
httpServletResponse.sendRedirect(errorUrl);
}
// 对信号量进行补充
synchronized (lock) {
if (node.dequeued) {
semaphore.release();
} else {
node.dequeued = true;
}
}
return;
}
// 继续执行
try {
chain.doFilter(request, response);
} finally {
semaphore.release();
checkSelector();
}
} /**
* <p>
* Title: init
* </p>
* <p>
* Description:
* </p>
*
* @param filterConfig
* @throws ServletException
* @see javax.servlet.Filter#init(javax.servlet.FilterConfig)
*/
@Override
public void init(FilterConfig filterConfig) throws ServletException {
String p = filterConfig.getInitParameter("permits");
if (p != null) {
permits = Integer.parseInt(p);
if (permits < 0) {
throw new IllegalArgumentException("FlowControlFilter,permits parameter should be greater than 0 !");
}
} String t = filterConfig.getInitParameter("timeout");
if (t != null) {
timeout = Long.parseLong(t);
if (timeout < 1) {
throw new IllegalArgumentException("FlowControlFilter,timeout parameter should be greater than 0 !");
}
} String b = filterConfig.getInitParameter("bufferSize");
if (b != null) {
bufferSize = Integer.parseInt(b);
if (bufferSize < 0) {
throw new IllegalArgumentException("FlowControlFilter,bufferSize parameter should be greater than 0 !");
}
} errorUrl = filterConfig.getInitParameter("errorUrl"); waitingQueue = new LinkedBlockingQueue<>(bufferSize);
semaphore = new Semaphore(permits); selectorThread = new Thread(new SelectorRunner());
selectorThread.setDaemon(true);
selectorThread.start(); } /**
* @Title: checkSelector
* @Description: TODO
* @param:
* @return: void
* @throws
*/
private void checkSelector() {
if (selectorThread != null && selectorThread.isAlive()) {
return;
}
synchronized (lock) {
if (selectorThread != null && selectorThread.isAlive()) {
return;
}
selectorThread = new Thread(new SelectorRunner());
selectorThread.setDaemon(true);
selectorThread.start();
}
} /**
*
* @ClassName: SelectorRunner
* @Description: TODO
* @author chinasoft_liuhanlin
* @date 2017年6月1日 下午3:59:11
*/
private class SelectorRunner implements Runnable { @Override
public void run() {
try {
while (true) {
Node node = waitingQueue.take();
// 如果t,阻塞逃逸,只能在pack超时后退出
synchronized (lock) {
if (node.dequeued) {
// 如果此线程已经park过期而退出了,则直接忽略
continue;
} else {
node.dequeued = true;
} }
semaphore.acquire();
LockSupport.unpark(node.currentThread);
}
} catch (Exception e) {
//
} finally {
// 全部释放阻塞
Queue<Node> queue = new LinkedList<>();
waitingQueue.drainTo(queue);
for (Node n : queue) {
if (!n.dequeued) {
LockSupport.unpark(n.currentThread);
}
}
}
}
} private class Node {
Thread currentThread;
boolean dequeued;// 是否已经出队 public Node(Thread t, boolean dequeued) {
this.currentThread = t;
this.dequeued = dequeued;
}
}
}