【并发】8、借助redis 实现多线程生产消费阻塞队列

2019-08-08 00:00:00 队列并发阻塞

顾名思义这个就是再消费的时候，不是之前的那哥用yield进行线程切换的操作，而是用线程等待阻塞的方式去执行，说实话我感觉效率不一定有之前那个好，

因为我对这种阻塞队列使用的时候，之前有发现阻塞队列，塞着塞着线程就会进入假死状态，这个很奇怪，但是有的时候又是好的，这个也不清楚到底是为什么

但是毕竟也是一种实现，我就写出来了看看吧

生产者

package queue.redisQueue;

import queue.fqueue.vo.TempVo;
import redis.clients.jedis.Jedis;

import java.io.ByteArrayOutputStream;
import java.io.ObjectOutputStream;
import java.util.UUID;

/**
 * @ProjectName: cutter-point
 * @Package: queue.redisQueue
 * @ClassName: RedisQueueProducter2
 * @Author: xiaof
 * @Description: ${description}
 * @Date: 2019/6/12 16:29
 * @Version: 1.0
 */
public class RedisQueueProducter2 implements Runnable {

    private Jedis jedis;
    private String queueKey;

    public RedisQueueProducter2(Jedis jedis, String queueKey) {
        this.jedis = jedis;
        this.queueKey = queueKey;
    }

    @Override
    public void run() {

        while(true) {

            try {
                Thread.sleep((long) (Math.random() * 1000));

                //不存在则创建，存在则直接插入
                //向redis队列中存放数据
                //生成数据
                TempVo tempVo = new TempVo();
                tempVo.setName(Thread.currentThread().getName() + ",time is:" + UUID.randomUUID());
                //序列化为字节
                ByteArrayOutputStream arrayOutputStream = new ByteArrayOutputStream();
                ObjectOutputStream objectOutputStream = new ObjectOutputStream(arrayOutputStream);
                objectOutputStream.writeObject(tempVo);
                arrayOutputStream.flush();

                try {
                    int i = 0;
                    while(i < 10) {
                        long num = jedis.lpush(queueKey.getBytes(), arrayOutputStream.toByteArray());
                        if(num > 0) {
                            System.out.println("成功！");
                            break;
                        }

                        ++i;
                    }
                } catch (Exception e) {
                    System.out.println("失败！");
//                    long num = jedis.lpush(queueKey.getBytes(), arrayOutputStream.toByteArray());
                }

            } catch (Exception e) {
                e.printStackTrace();
            }
        }

    }
}

消费者

package queue.redisQueue;

import queue.fqueue.vo.EventVo;
import redis.clients.jedis.Jedis;

import java.io.ByteArrayInputStream;
import java.io.IOException;
import java.io.ObjectInputStream;
import java.util.List;

/**
 * @ProjectName: cutter-point
 * @Package: queue.redisQueue
 * @ClassName: RedisQueueConsume2
 * @Author: xiaof
 * @Description: ${description}
 * @Date: 2019/6/12 16:40
 * @Version: 1.0
 */
public class RedisQueueConsume2 implements Runnable {

    private Jedis jedis;
    private String queueKey;

    public RedisQueueConsume2(Jedis jedis, String queueKey) {
        this.jedis = jedis;
        this.queueKey = queueKey;
    }


    @Override
    public void run() {


        while(true) {
            List<byte[]> bytesList = null;
            try{
                //这种就是阻塞队列模式
                bytesList = jedis.blpop(0, queueKey.getBytes());
            } catch (Exception e) {

            }

            //反序列化对象
            if(bytesList == null || bytesList.size() <= 0) {
                Thread.yield();
                continue;
            }

            //获取第二个对象，就是我们的字节数组
            System.out.println(new String(bytesList.get(0)));
            ByteArrayInputStream byteArrayInputStream = new ByteArrayInputStream(bytesList.get(1));
            try {
                ObjectInputStream objectInputStream = new ObjectInputStream(byteArrayInputStream);
                EventVo eventVo = (EventVo) objectInputStream.readObject();

                eventVo.doOperater();

            } catch (IOException e) {
                e.printStackTrace();
            } catch (ClassNotFoundException e) {
                e.printStackTrace();
            }
        }
    }
}