• Java线程设计模式(五)


    多线程的设计模式:Future模式、Master-Worker模式,生产消费者模式

    public interface Data {
    
        String getRequest();
    }
    

      

    public class FutureClient  {
        public Data request(final String queryStr){
            //1 我想要一个代理对象(Data接口的实现类)先返回给发送请求的客户端,告诉他请求已经接收到,可以做其他的事情
            final FutureData futureData = new FutureData();
            //2 启动一个新的线程,去加载真实的数据,传递给这个代理对象
            new Thread(new Runnable() {
                @Override
                public void run() {
                    //3 这个新的线程可以去慢慢的加载真实对象,然后传递给代理对象
                    RealData realData = new RealData(queryStr);
                    futureData.setRealData(realData);
                }
            }).start();
    
            return futureData;
        }
    }
    

      

    public class FutureData implements Data{
    
        private RealData realData ;
    
        private boolean isReady = false;
    
        public synchronized void setRealData(RealData realData) {
            //如果已经装载完毕了,就直接返回
            if(isReady){
                return;
            }
            //如果没装载,进行装载真实对象
            this.realData = realData;
            isReady = true;
            //进行通知
            notify();
        }
    
        @Override
        public synchronized String getRequest() {
            //如果没装载好 程序就一直处于阻塞状态
            while(!isReady){
                try {
                    wait();
                } catch (InterruptedException e) {
                    e.printStackTrace();
                }
            }
            //装载好直接获取数据即可
            return this.realData.getRequest();
        }
    }
    

      

    public class RealData implements Data{
    
        private String result ;
    
        public RealData (String queryStr){
            System.out.println("根据" + queryStr + "进行查询,这是一个很耗时的操作..");
            try {
                Thread.sleep(5000);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
            System.out.println("操作完毕,获取结果");
            result = "查询结果";
        }
    
        @Override
        public String getRequest() {
            return result;
        }
    }
    

      

    public class Main {
        public static void main(String[] args) throws InterruptedException {
    
            FutureClient fc = new FutureClient();
            Data data = fc.request("请求参数");
            System.out.println("请求发送成功!");
            System.out.println("做其他的事情...");
    
            String result = data.getRequest();
            System.out.println(result);
        }
    }
    

      

     

    import java.util.HashMap;
    import java.util.Map;
    import java.util.concurrent.ConcurrentHashMap;
    import java.util.concurrent.ConcurrentLinkedQueue;
    
    public class Master {
        //1 有一个盛放任务的容器
        private ConcurrentLinkedQueue<Task> workQueue=new ConcurrentLinkedQueue<Task>();
    
        //2 需要有一个盛放worker的集合
        private HashMap<String,Thread> workers =new HashMap<String, Thread>();
    
        //3 需要有一个盛放每一个worker执行任务的结果集合
        private ConcurrentHashMap<String,Object> resultMap=new ConcurrentHashMap<String, Object>();
    
        //4 构造方法
        public Master(Worker worker,int workerCount){
            worker.setWorkQueue(this.workQueue);
            worker.setResultMap(this.resultMap);
            for(int i = 0; i < workerCount; i ++){
                this.workers.put(Integer.toString(i), new Thread(worker));
            }
        }
        //5 需要一个提交任务的方法
        public void submit(Task task) {
            this.workQueue.add(task);
        }
        //6 需要有一个执行的方法,启动所有的worker方法去执行任务
        public void execute(){
            for(Map.Entry<String,Thread> me: workers.entrySet()){
                me.getValue().start();
            }
        }
        //7 判断是否运行结束的方法
        public boolean isComplete() {
            for(Map.Entry<String, Thread> me : workers.entrySet()){
                if(me.getValue().getState() != Thread.State.TERMINATED){
                    return false;
                }
            }
            return true;
        }
    
        //8 计算结果方法
        public int getResult() {
            int priceResult = 0;
            for(Map.Entry<String, Object> me : resultMap.entrySet()){
                priceResult += (Integer)me.getValue();
            }
            return priceResult;
        }
    }
    

      

    import java.util.concurrent.ConcurrentHashMap;
    import java.util.concurrent.ConcurrentLinkedQueue;
    
    public class Worker implements  Runnable{
        private ConcurrentLinkedQueue<Task> workQueue;
        private ConcurrentHashMap<String,Object> resultMap;
        public void setWorkQueue(ConcurrentLinkedQueue<Task> workQueue) {
            this.workQueue=workQueue;
        }
        public void setResultMap(ConcurrentHashMap<String,Object> resultMap){
            this.resultMap=resultMap;
        }
        @Override
        public void run(){
            while (true){
                Task input=this.workQueue.poll();
                if(input==null) break;
                Object output=handle(input);
                this.resultMap.put(Integer.toString(input.getId()),output);
            }
        }
        private Object handle(Task input){
            Object output=null;
            try {
                //处理任务的耗时。。 比如说进行操作数据库。。。
                Thread.sleep(500);
                output = input.getPrice();
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
            return output;
        }
    }
    

      

    public class Task {
        private int id;
        private int price ;
        public int getId() {
            return id;
        }
        public void setId(int id) {
            this.id = id;
        }
        public int getPrice() {
            return price;
        }
        public void setPrice(int price) {
            this.price = price;
        }
    }
    

      

    import java.util.Random;
    
    public class Main {
        public static void main(String[] args) {
            Master master = new Master(new Worker(), 20);
    
            Random r = new Random();
            for (int i = 1; i <= 100; i++) {
                Task t = new Task();
                t.setId(i);
                t.setPrice(r.nextInt(1000));
                master.submit(t);
            }
            master.execute();
            long start = System.currentTimeMillis();
    
            while (true) {
                if (master.isComplete()) {
                    long end = System.currentTimeMillis() - start;
                    int priceResult = master.getResult();
                    System.out.println("最终结果:" + priceResult + ", 执行时间:" + end);
                    break;
                }
            }
    
        }
    }
    

      

     生产者-消费者

    public final class Data {
        private String id;
        private String name;
    
        public Data(String id, String name){
            this.id = id;
            this.name = name;
        }
    
        public String getId() {
            return id;
        }
    
        public void setId(String id) {
            this.id = id;
        }
    
        public String getName() {
            return name;
        }
    
        public void setName(String name) {
            this.name = name;
        }
    
        @Override
        public String toString(){
            return "{id: " + id + ", name: " + name + "}";
        }
    }
    

      

    import java.util.Random;
    import java.util.concurrent.BlockingQueue;
    
    public class Consumer implements  Runnable{
        private BlockingQueue<Data> queue;
        public Consumer(BlockingQueue queue){
            this.queue=queue;
        }
        //随机对象
        private static Random r = new Random();
        @Override
        public void run() {
            while(true){
                try {
                    //获取数据
                    Data data = this.queue.take();
                    //进行数据处理。休眠0 - 1000毫秒模拟耗时
                    Thread.sleep(r.nextInt(1000));
                    System.out.println("当前消费线程:" + Thread.currentThread().getName() + ", 消费成功,消费数据为id: " + data.getId());
                } catch (InterruptedException e) {
                    e.printStackTrace();
                }
            }
        }
    }
    

      

    public class Provider implements Runnable{
    
        //共享缓存区
        private BlockingQueue<Data> queue;
        //多线程间是否启动变量,有强制从主内存中刷新的功能。即时返回线程的状态
        private volatile boolean isRunning = true;
        //id生成器
        private static AtomicInteger count = new AtomicInteger();
        //随机对象
        private static Random r = new Random();
    
        public Provider(BlockingQueue queue){
            this.queue = queue;
        }
    
        @Override
        public void run() {
            while(isRunning){
                try {
                    //随机休眠0 - 1000 毫秒 表示获取数据(产生数据的耗时)
                    Thread.sleep(r.nextInt(1000));
                    //获取的数据进行累计...
                    int id = count.incrementAndGet();
                    //比如通过一个getData方法获取了
                    Data data = new Data(Integer.toString(id), "数据" + id);
                    System.out.println("当前线程:" + Thread.currentThread().getName() + ", 获取了数据,id为:" + id + ", 进行装载到公共缓冲区中...");
                    if(!this.queue.offer(data, 2, TimeUnit.SECONDS)){
                        System.out.println("提交缓冲区数据失败....");
                        //do something... 比如重新提交
                    }
                } catch (InterruptedException e) {
                    e.printStackTrace();
                }
            }
        }
    
        public void stop(){
            this.isRunning = false;
        }
    }
    

      

    public class Main {
    
        public static void main(String[] args) throws Exception {
            //内存缓冲区
            BlockingQueue<Data> queue = new LinkedBlockingQueue<Data>(10);
            //生产者
            Provider p1 = new Provider(queue);
    
            Provider p2 = new Provider(queue);
            Provider p3 = new Provider(queue);
            //消费者
            Consumer c1 = new Consumer(queue);
            Consumer c2 = new Consumer(queue);
            Consumer c3 = new Consumer(queue);
            //创建线程池运行,这是一个缓存的线程池,可以创建无穷大的线程,没有任务的时候不创建线程。空闲线程存活时间为60s(默认值)
    
            ExecutorService cachePool = Executors.newCachedThreadPool();
            cachePool.execute(p1);
            cachePool.execute(p2);
            cachePool.execute(p3);
            cachePool.execute(c1);
            cachePool.execute(c2);
            cachePool.execute(c3);
    
            try {
                Thread.sleep(3000);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
            p1.stop();
            p2.stop();
            p3.stop();
            try {
                Thread.sleep(2000);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
    //		cachePool.shutdown();
    //		cachePool.shutdownNow();
            
        }
    }
    

      

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  • 原文地址:https://www.cnblogs.com/sunliyuan/p/10845148.html
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