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();
 }

 }

}