redis使用watch秒杀抢购实现思路

import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;

import redis.clients.jedis.Jedis;

/**
 * redis测试抢购
 * 
 * @author 10255_000
 * 
 */
public class RedisTest {
 public static void main(String[] args) {
  final String watchkeys = "watchkeys";
  ExecutorService executor = Executors.newFixedThreadPool(20);

  final Jedis jedis = new Jedis("192.168.3.202", 6379);
  jedis.set(watchkeys, "0");// 重置watchkeys为0
  jedis.del("setsucc", "setfail");// 清空抢成功的，与没有成功的
  jedis.close();

  for (int i = 0; i < 10000; i++) {// 测试一万人同时访问
   executor.execute(new MyRunnable());
  }
  executor.shutdown();
 }
}


import java.util.List;
import java.util.UUID;

import redis.clients.jedis.Jedis;
import redis.clients.jedis.Transaction;

public class MyRunnable implements Runnable {

 String watchkeys = "watchkeys";// 监视keys
 Jedis jedis = new Jedis("192.168.3.202", 6379);

 public MyRunnable() {
 }

 @Override
 public void run() {
  try {
   jedis.watch(watchkeys);// watchkeys

   String val = jedis.get(watchkeys);
   int valint = Integer.valueOf(val);
   String userifo = UUID.randomUUID().toString();
   if (valint < 10) {
    Transaction tx = jedis.multi();// 开启事务

    tx.incr("watchkeys");

    List<Object> list = tx.exec();// 提交事务，如果此时watchkeys被改动了，则返回null
    if (list != null) {
     System.out.println("用户：" + userifo + "抢购成功，当前抢购成功人数:"
       + (valint + 1));
     /* 抢购成功业务逻辑 */
     jedis.sadd("setsucc", userifo);
    } else {
     System.out.println("用户：" + userifo + "抢购失败");
     /* 抢购失败业务逻辑 */
     jedis.sadd("setfail", userifo);
    }

   } else {
    System.out.println("用户：" + userifo + "抢购失败");
    jedis.sadd("setfail", userifo);
    // Thread.sleep(500);
    return;
   }

  } catch (Exception e) {
   e.printStackTrace();
  } finally {
   jedis.close();
  }

 }

}