java web如何解决瞬间高并发

这篇文章主要为大家详细介绍了java web解决瞬间高并发的策略,具有一定的参考价值,感兴趣的小伙伴们可以参考一下

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 Runnable is used * to create a thread, starting the thread causes the object's * run method to be called in that separately executing * thread. * 

* The general contract of the method run 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 Runnable is used * to create a thread, starting the thread causes the object's * run method to be called in that separately executing * thread. * 

* The general contract of the method run 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() 

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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