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java web如何解决瞬间高并发

2019-11-26 12:51:56
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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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