分布式锁-----秒杀系统

1.ZK

import org.apache.curator.RetryPolicy;
import org.apache.curator.framework.CuratorFramework;
import org.apache.curator.framework.CuratorFrameworkFactory;
import org.apache.curator.framework.recipes.locks.InterProcessMutex;
import org.apache.curator.retry.ExponentialBackoffRetry;

public class TestZK {
	//定义共享资源
	private static int NUMBER = 10;
	private static void getNumber(){
		System.out.println("*********业务方法开始*********");
		System.out.println("当前值："+NUMBER);
		NUMBER--;
		
		try {
			Thread.sleep(2000);
		} catch (InterruptedException e) {
			// TODO Auto-generated catch block
			e.printStackTrace();
		}
		
		System.out.println("*********业务方法结束*********");
	}

	public static void main(String[] args) {
		//定义retrypolicy 重试策略
		RetryPolicy policy = new ExponentialBackoffRetry(1000,   //等待的时间
				                                         10);//重试的测试
		
		//定义ZK的客户端
		CuratorFramework client = CuratorFrameworkFactory.builder()
				                  .connectString("192.168.56.111:2181")
				                  .retryPolicy(policy)
				                  .build();
		client.start();
		
		//定义锁
		final InterProcessMutex lock = new InterProcessMutex(client,"/mylock");
				
		for(int i=0;i<10;i++){
			new Thread(new Runnable() {
				
				public void run() {
					
					try {
						//请求锁
						lock.acquire();
						
						// 访问业务方法
						getNumber();						
					} catch (Exception e) {
						e.printStackTrace();
					}finally{
						try {
							lock.release();
						} catch (Exception e) {
							// TODO Auto-generated catch block
							e.printStackTrace();
						}
					}

				}
			}).start();
		}

	}
}

2.Redis