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(); } }}