多线程,高并发的情况下操作redis当中的数据,如何加锁?

多个线程同时去操作Redis当中的数据,假如不加锁的情况下,会出现数据重复的问题。假如需要每次都只有一条线程去操作Redis当中的数据,需要给操作加上锁。

    但是去网上一搜,网上给Redis加锁的机制都是利用Redis的setnx自身的方法去加锁,但是这样加锁首先麻烦,得手动防止死锁等问题,速度还不快。

    下面是我自己测试通过的如何给redis加锁的代码,仅供自己参考和有需要的人参考。

     @Scheduled(initialDelay = 1000, fixedDelay = 60000)
        public void redisTest(){
            Jedis jedis = jedisPool.getResource();
            try{
                jedis.set("red_packet_num","5000");
            }catch (Exception e)
            {
                e.printStackTrace();
                if (jedis != null) {
                    jedis.close();
                }
            }
            finally {
                if (jedis != null) {
                    jedis.close();
                }
            }
            Lock lock=new ReentrantLock();
            for(int i=0;i<2000;i++){
                fixedThreadPool.execute(new Runnable() {
                    @Override
                    public void run() {
                        Jedis jedis = jedisPool.getResource();
                        try {
                            lock.lock();
                            String red_packet_num = jedis.get("red_packet_num");
                            int a = Integer.parseInt(red_packet_num) - 1;
                            jedis.set("red_packet_num", String.valueOf(a));
                            lock.unlock();
                            System.out.println("数据是:" + a+"当前线程是:"+Thread.currentThread().getName()+"当前时间"+ CommonUtil.getCurrentTimeFormatForHMS());
                        }
                        catch (Exception e){
                            e.printStackTrace();
                            if (jedis != null) {
                                jedis.close();
                            }
                        }
                        finally {
                            if (jedis != null) {
                                jedis.close();
                            }
                        }
                    }
                });
            }
        }

    产生的数据如下:

猜你喜欢

转载自blog.csdn.net/xiaobing_122613/article/details/84401593