java web如何解决瞬间高并发

1、任何的高并发,请求总是会有一个顺序的

2、java的队列的数据结构是先进先出的取值顺序

3、BlockingQueue类(线程安全)(使用方法可以百度)

一般使用LinkedBlockingQueue

利用以上几点,我们可以把高并发时候的请求放入一个队列,队列的大小可以自己定义,比如队列容量为1000个数据,那么可以利用过滤器或者拦截器把当前的请求放入队列,如果队列的容量满了,其余的请求可以丢掉或者作出相应回复

具体实施:

利用生产者、消费者模型:

将队列的请求一一处理完。

 上代码:

/**

* @author fuguangli

* @description 前沿消费者类

* @Create date: 2017/3/7

* @using EXAMPLE

*/

public class Customer implements Runnable{

/**

* 抛出异常 特殊值 阻塞 超时

插入 add(e) offer(e) put(e) offer(e, time, unit)

移除 remove() poll() take() poll(time, unit)

检查 element() peek() 不可用 不可用

*/

private BlockingQueue blockingQueue;

private AtomicInteger count = new AtomicInteger();

public Customer(BlockingQueue blockingQueue) {

this.blockingQueue = blockingQueue;

}

/**

* When an object implementing interface <code>Runnable</code> is used

* to create a thread, starting the thread causes the object's

* <code>run</code> method to be called in that separately executing

* thread.

* <p/>

* The general contract of the method <code>run</code> is that it may

* take any action whatsoever.

*

* @see Thread#run()

*/

@Override

public void run() {

System.out.println("消费者线程启动...");

LockFlag.setCustomerRunningFlag(true);

try {

while (LockFlag.getProducerRunningFlag()){

System.out.println(Thread.currentThread().getId()+"I'm Customer.Queue current size="+blockingQueue.size());

String data = (String) blockingQueue.poll(10, TimeUnit.SECONDS);

if(data!=null){

System.out.println(Thread.currentThread().getId()+"*************正在消费数据 data="+data);

}else{

//表示超过取值时间,视为生产者不再生产数据

System.out.println(Thread.currentThread().getId()+"队列为空无数据,请检查生产者是否阻塞");

}

Thread.sleep(50);

}

System.err.println("消费者程序执行完毕");

} catch (InterruptedException e) {

e.printStackTrace();

System.err.println("消费者程序退出");

LockFlag.setCustomerRunningFlag(false);//异常退出线程

Thread.currentThread().interrupt();

}

}

}

package com.qysxy.framework.queue;

import java.util.concurrent.BlockingQueue;

import java.util.concurrent.TimeUnit;

import java.util.concurrent.atomic.AtomicInteger;

/**

* @author fuguangli

* @description 队列生产者类

* @Create date: 2017/3/7

* @using EXAMPLE

*/

public class Producer implements Runnable{

/**

* 抛出异常 特殊值 阻塞 超时

插入 add(e) offer(e) put(e) offer(e, time, unit)

移除 remove() poll() take() poll(time, unit)

检查 element() peek() 不可用 不可用

*/

private BlockingQueue blockingQueue;

private AtomicInteger count = new AtomicInteger();

public Producer(BlockingQueue blockingQueue) {

this.blockingQueue = blockingQueue;

}

/**

* When an object implementing interface <code>Runnable</code> is used

* to create a thread, starting the thread causes the object's

* <code>run</code> method to be called in that separately executing

* thread.

* <p/>

* The general contract of the method <code>run</code> is that it may

* take any action whatsoever.

*

* @see Thread#run()

*/

@Override

public void run() {

System.out.println("生产者线程启动...");

LockFlag.setProducerRunningFlag(true);

try {

while (LockFlag.getProducerRunningFlag()){

String data = "data:"+count.incrementAndGet();

if(blockingQueue.offer(data,10, TimeUnit.SECONDS)){

//返回true表示生产数据正确

System.out.println("^^^^^^^^^^^^^^正在生产数据 data="+data);

}else {

//表示阻塞时间内还没有生产者生产数据

System.out.println("生产者异常,无法生产数据");

}

Thread.sleep(50);

}

} catch (InterruptedException e) {

e.printStackTrace();

System.err.println("生产者程序退出");

LockFlag.setProducerRunningFlag(false);//异常退出线程

Thread.currentThread().interrupt();

}

}

}

package com.qysxy.framework.queue;

/**

* @author fuguangli

* @description 前沿生产者消费者模型的锁类

* @Create date: 2017/3/7

*/

public class LockFlag {

/**

* 生产者互斥锁

*/

private static Boolean producerRunningFlag = false;

/**

* 消费者互斥锁

*/

private static Boolean customerRunningFlag = false;

public static Boolean getProducerRunningFlag() {

return producerRunningFlag;

}

public static void setProducerRunningFlag(Boolean producerRunningFlag) {

LockFlag.producerRunningFlag = producerRunningFlag;

}

public static Boolean getCustomerRunningFlag() {

return customerRunningFlag;

}

public static void setCustomerRunningFlag(Boolean customerRunningFlag) {

LockFlag.customerRunningFlag = customerRunningFlag;

}

}

package com.qysxy.framework.queue;

import javax.servlet.http.HttpServletRequest;

import javax.servlet.http.HttpServletResponse;

import java.util.Queue;

import java.util.concurrent.*;

/**

* @author fuguangli

* @description 前沿队列实用类,用于大量并发用户

* @Create date: 2017/3/7

*/

public class BlockingQueueHelper {

private static final Integer maxQueueSize = 1000;

private static BlockingQueue blockingQueue = new LinkedBlockingQueue(maxQueueSize);

private static ExecutorService threadPool = Executors.newCachedThreadPool();

public static BlockingQueue getBlockingQueue() {

if (blockingQueue == null) {

blockingQueue = new LinkedBlockingQueue(maxQueueSize);

}

return blockingQueue;

}

/**

* @param o 队列处理对象(包含request,response,data)

*/

public static void requestQueue(Object o) {

//检测当前的队列大小

if (blockingQueue != null && blockingQueue.size() < maxQueueSize) {

//可以正常进入队列

if (blockingQueue.offer(o)) {

//添加成功,检测数据处理线程是否正常

if (LockFlag.getCustomerRunningFlag()) {

//说明处理线程类正常运行

} else {

//说明处理线程类停止,此时,应重新启动线程进行数据处理

LockFlag.setCustomerRunningFlag(true);

//example:run

Customer customer = new Customer(blockingQueue);

threadPool.execute(customer);

}

} else {

//进入队列失败,做出相应的处理,或者尝试重新进入队列

}

} else {

//队列不正常,或队列大小已达上限,做出相应处理

}

}

}

好了,这时候,利用过滤器或者拦截器将每个请求封装成队列元素进行处理就行。

当然了,对于多应用服务器的部署架构来说,数据库也需要加锁,数据库隔离级别下篇再说。

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