Producer-Consumer Pattern

本文介绍了一个使用Java实现的生产者消费者模型,通过创建不同的线程来模拟生产者和消费者角色,展示了如何在多线程环境下进行数据的生产与消费。详细解释了Table类的实现方式,包括数据的put和take操作,以及如何利用同步机制确保线程安全。
package com.albert.thread;

import java.util.Random;

public class Producer_Consumer {

    public static void test()
    {
        Table table = new Table(3);
        new MakerThread("MakerThread-1",table,31415).start();
        new MakerThread("MakerThread-2",table,33333).start();
        new MakerThread("MakerThread-3",table,55555).start();
        
        new EaterThread("EaterThread-1",table,66666).start();
        new EaterThread("EaterThread-2",table,666906).start();
        new EaterThread("EaterThread-3",table,26666).start();


    }
    
}

class Table
{
    private final String[]buffer;
    private int tail;    //下一个put的地方
    private  int head; //下一个take的地方
    private int count; //buffer内的蛋糕数
    public Table(int count)
    {
        this.buffer = new String[count];
        this.head = 0;
        this.tail = 0;
        this.count = 0;
    }
    //放置蛋糕
    public synchronized void put(String cake) throws InterruptedException
    {
        System.out.println(Thread.currentThread().getName()+" puts "+cake);
        while(count>=buffer.length)
        {
            wait();
        }
        buffer[tail] = cake;
        tail = (tail+1)%buffer.length;
        count++;
        notifyAll();
    }
    //获取蛋糕
    public synchronized String take() throws InterruptedException
    {
        while(count<=0)
        {
            wait();
        }
        String cake = buffer[head];
        head=(head+1)%buffer.length;
        count--;
        notifyAll();
        System.out.println(Thread.currentThread().getName()+" takes "+cake);
        return cake;
    }
}
class MakerThread extends Thread
{
    private final Random random;
    private final Table table;
    private static int id = 0;
    public MakerThread(String name,Table table,int seed)
    {
        super(name);
        this.table = table;
        this.random = new Random(seed);
    }
    public void run()
    {
        while(true)
        {
            try {
                Thread.sleep(this.random.nextInt(1000));
            } catch (InterruptedException e) {
                // TODO Auto-generated catch block
                e.printStackTrace();
            }
            String cake = "[CakeNo."+nextId()+" by "+getName()+"";
            try {
                table.put(cake);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
        }
    }
    private static synchronized int nextId()
    {
        return id++;
    }
}
class EaterThread extends Thread
{
    private final Random random;
    private final Table table;
    public EaterThread(String name,Table table,int seed)
    {
        super(name);
        this.table = table;
        this.random = new Random(seed);
    }
    public void run()
    {
        while(true)
        {
            try {
                String cake = table.take();
                Thread.sleep(this.random.nextInt(1000));
            } catch (InterruptedException e) {
                // TODO Auto-generated catch block
                e.printStackTrace();
            }
        }
    }
}

spring: application: name: domian-location cloud: stream: bindings: locationHisFinish: destination: data.status content-type: application/json binder: data-in-binder group: location-hisfinish-consumer consumer: concurrency: 1 staSwitch: destination: data.switch content-type: application/json binder: data-in-binder group: location-switch-consumer consumer: concurrency: 1 locationRt: destination: data.calced content-type: application/json binder: data-in-binder group: location-rt-consumer consumer: concurrency: 1 locationRtHis: destination: data.calced content-type: application/json binder: data-in-binder group: location-rt-his-consumer consumer: concurrency: 1 locationHis: destination: data.calced content-type: application/json binder: data-in-binder group: location-his-consumer consumer: concurrency: 1 domianEvent: destination: domian.event content-type: application/json binder: data-in-binder webEvent: destination: data.mqtt content-type: application/json binder: data-in-binder locationMineEvent: destination: domian.event content-type: application/json binder: data-in-binder group: location-mine-consumer rabbit: bindings: locationHisFinish: consumer: exchangeType: direct maxConcurrency: 10 bindingRoutingKey: 'hisfinish' maxLength: 100000 prefetch: 16 staSwitch: consumer: exchangeType: fanout maxConcurrency: 10 bindingRoutingKey: '#' maxLength: 100000 prefetch: 16 locationRt: consumer: exchangeType: direct maxConcurrency: 10 bindingRoutingKey: RT maxLength: 100000 prefetch: 1 locationRtHis: consumer: exchangeType: direct maxConcurrency: 10 bindingRoutingKey: RT maxLength: 100000 prefetch: 1 locationHis: consumer: exchangeType: direct maxConcurrency: 10 bindingRoutingKey: HIS maxLength: 100000 domianEvent: producer: exchangeType: topic routingKeyExpression: headers.rk webEvent: producer: exchangeType: topic routingKeyExpression: headers.rk locationMineEvent: consumer: exchangeType: topic maxConcurrency: 1 bindingRoutingKey: location.mine maxLength: 10000 binders: data-in-binder: type: rabbit rabbitmq: requested-heartbeat: 10 addresses: 192.168.2.190:5672,192.168.2.179:5672,192.168.2.236:5672 username: yaxt password: yaxt-mq # data: # mongodb: # uri: mongodb://yaxt:yaxt-mongodb@192.168.2.190:17017,192.168.2.179:17017,192.168.2.236:17017/admin?replicaSet=mongos # database: Location # authentication-database: admin cache: type: simple policy: show-unknow: true still-clean: true blind-time: 300 still-speed: 0.1 station-time: false ribbon: ReadTimeout: 10000 ConnectTimeout: 5000 MaxAutoRetries: 1 MaxAutoRetriesNextServer: 1 eager-load: enabled: true clients: domian-map, jeecg-system logging: level: root: info file: name: ./log/start.log # pattern: # console: "%d - %msg%n" # file: "%d - %msg%n" logback: rollingpolicy: max-history: 180 total-size-cap: 5GB hystrix: command: default: execution: isolation: thread: timeoutInMilliseconds: 50000 BaseServiceApi#queryStaffByDPC(String,String,String): execution: isolation: thread: timeoutInMilliseconds: 100000 #mybatis plus 设置 # mybatis-plus: # configuration: # # 这个配置会将执行的sql打印出来,在开发或测试的时候可以用 # log-impl: org.apache.ibatis.logging.stdout.StdOutImpl origin: x: 0 y: 0 z: 0 L0: 117 wgs84: display: false offset_lat: 0 offset_lng: 0 sort: orgCode: true station: landmark-switch: true 帮我看一下这个有什么问题
08-13
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