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Java多线程-线程池Executors

Java多线程-线程池Executors

作者: 喵了个呜s | 来源:发表于2017-05-04 11:22 被阅读157次

    概览

    博客地址 http://blog.csdn.net/qq_25806863

    原文地址 http://blog.csdn.net/qq_25806863/article/details/71159452

    通过上一篇对ThreadPoolExecutor的构造方法分析可以感受到,通过ThreadPoolExecutor来创建线程池是比较复杂的,参数比较多,考虑因素也多。

    因此java自己提供了一个工厂类Executors,里面提供了一些方法,用来创建常用的几种ThreadPoolExecutor线程池。

    下面是方法概览:

    public static ExecutorService newFixedThreadPool(int nThreads) {
            return new ThreadPoolExecutor(nThreads, nThreads,
                                          0L, TimeUnit.MILLISECONDS,
                                          new LinkedBlockingQueue<Runnable>());
        }
        
        
    public static ExecutorService newCachedThreadPool() {
            return new ThreadPoolExecutor(0, Integer.MAX_VALUE,
                                          60L, TimeUnit.SECONDS,
                                          new SynchronousQueue<Runnable>());
        }
    
    public static ExecutorService newSingleThreadExecutor() {
            return new FinalizableDelegatedExecutorService
                (new ThreadPoolExecutor(1, 1,
                                        0L, TimeUnit.MILLISECONDS,
                                        new LinkedBlockingQueue<Runnable>()));
        }
    
    public static ScheduledExecutorService newScheduledThreadPool(int corePoolSize) {
            return new ScheduledThreadPoolExecutor(corePoolSize);
        }
    

    分析

    FixedThreadPool

    FixedThreadPool调用的是ThreadPoolExecutor的构造方法。有下面两种使用方式:

    //不带工厂的
    public static ExecutorService newFixedThreadPool(int nThreads) {
        return new ThreadPoolExecutor(nThreads, nThreads,
                                      0L, TimeUnit.MILLISECONDS,
                                      new LinkedBlockingQueue<Runnable>());
    }
    //带工厂的
    public static ExecutorService newFixedThreadPool(int nThreads, ThreadFactory threadFactory) {
            return new ThreadPoolExecutor(nThreads, nThreads,
                                          0L, TimeUnit.MILLISECONDS,
                                          new LinkedBlockingQueue<Runnable>(),
                                          threadFactory);
        }
    

    通过对ThreadPoolExecutor构造参数的分析可以看出来,这个线程池的最大线程数就是核心线程数,也就是没有非核心线程的存在。这些线程都是核心线程,即使在闲置状态也不会被回收,除非线程池关闭了,所以超时机制并没有用。他的任务队列是无界的LinkedBlockingQueue,因此超过核心线程数量的任务会放在队列中排队。

    这样的线程池优点很明显,只会创建固定数量的线程,然后这些线程一直存活重用,不会有额外的创建和销毁线程的开销,能更快的执行任务。

    测试

    ExecutorService executor = Executors.newFixedThreadPool(2);
    Runnable myRunnable = new Runnable() {
        @Override
        public void run() {
            try {
                Thread.sleep(2000);
                System.out.println(Thread.currentThread().getName() + " run time: "+System.currentTimeMillis());
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
    
        }
    };
    for (int i = 0; i < 6; i++) {
        executor.execute(myRunnable);
    }
    

    创建一个固定大小为2的FixedThreadPool,然后添加6个任务,输出是:

    pool-1-thread-2 run time: 1493863106021
    pool-1-thread-1 run time: 1493863106021
    pool-1-thread-2 run time: 1493863108022
    pool-1-thread-1 run time: 1493863108022
    pool-1-thread-1 run time: 1493863110026
    pool-1-thread-2 run time: 1493863110027
    

    可以看到这个线程池只会创建2个线程,其他的都在排队。

    线程工厂

    public static void main(String[] args) throws InterruptedException {
         ExecutorService executor = Executors.newFixedThreadPool(2,new MyFactory());
         Runnable myRunnable = new Runnable() {
             @Override
             public void run() {
                 try {
                     Thread.sleep(2000);
                     System.out.println(Thread.currentThread().getName() + " run time: "+System.currentTimeMillis());
                 } catch (InterruptedException e) {
                     e.printStackTrace();
                 }
    
             }
         };
         for (int i = 0; i < 6; i++) {
             executor.execute(myRunnable);
         }
     }
    
    static class MyFactory implements ThreadFactory{
    
         @Override
         public Thread newThread(@NonNull Runnable r) {
             Thread thread = new Thread(r);
             thread.setName("哈哈"+ UUID.randomUUID().toString().substring(0,3));
             return thread;
         }
     }
    

    创建一个工厂,自定义设置线程名字,然后在newFixedThreadPool时传入工厂,看输出

    哈哈fea run time: 1493863498244
    哈哈491 run time: 1493863498244
    哈哈fea run time: 1493863500250
    哈哈491 run time: 1493863500250
    哈哈fea run time: 1493863502253
    哈哈491 run time: 1493863502253
    

    下面的工厂参数都是这样,就不在写了。

    CachedThreadPool

    CachedThreadPool也是用的ThreadPoolExecutor的构造方法

    public static ExecutorService newCachedThreadPool() {
        return new ThreadPoolExecutor(0, Integer.MAX_VALUE,
                                      60L, TimeUnit.SECONDS,
                                      new SynchronousQueue<Runnable>());
    }
    
    public static ScheduledExecutorService newSingleThreadScheduledExecutor(ThreadFactory threadFactory) {
            return new DelegatedScheduledExecutorService
                (new ScheduledThreadPoolExecutor(1, threadFactory));
    }
    

    分析这个参数可以看出,这个线程池没有核心线程,所有的线程都会在限制60秒后被回收。而且最大线程数为Integer.MAX_VALUE,相当于无限大。因为任务队列是SynchronousQueue,不会保存任何任务,所以当有新任务时,如果当前线程都在活动着,就会新建一个线程来执行任务。

    这样的线程池的特点就是,适合执行大量的耗时短的任务。而且当所有任务执行完后,闲置超过60秒就会全部回收,这是线程池里就没有任何线程,不会占用系统资源。

    测试

    ExecutorService executor = Executors.newCachedThreadPool();
            Runnable myRunnable = new Runnable() {
        @Override
        public void run() {
            try {
                Thread.sleep(2000);
                System.out.println(Thread.currentThread().getName() + " run time: "+System.currentTimeMillis());
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
        }
    };
    for (int i = 0; i < 3; i++) {
        executor.execute(myRunnable);
    }
    Thread.sleep(30000);
    System.out.println("睡眠30秒后");
    for (int i = 0; i < 3; i++) {
        executor.execute(myRunnable);
    }
    Thread.sleep(65000);
    System.out.println("再睡眠65秒后");
    for (int i = 0; i < 3; i++) {
        executor.execute(myRunnable);
    }
    

    先运行三个任务,30秒后再添加3个任务,再过65秒再添加3个任务。

    pool-1-thread-1 run time: 1493864065635
    pool-1-thread-2 run time: 1493864065635
    pool-1-thread-3 run time: 1493864065639
    睡眠30秒后
    pool-1-thread-3 run time: 1493864095637
    pool-1-thread-2 run time: 1493864095637
    pool-1-thread-1 run time: 1493864095637
    再睡眠65秒后
    pool-1-thread-5 run time: 1493864160643
    pool-1-thread-4 run time: 1493864160643
    pool-1-thread-6 run time: 1493864160643
    

    可以看到一开始创建了3个线程,30秒后重用了这三个线程。但是再过65秒后,者三个线程就因为超时被回收了,所以新建了三个线程。

    SingleThreadExecutor

    SingleThreadExecutor使用new FinalizableDelegatedExecutorService来创建线程池。但是其实通过一个委托调用了ThreadPoolExecutor的构造方法

    public static ExecutorService newSingleThreadExecutor() {
        return new FinalizableDelegatedExecutorService
            (new ThreadPoolExecutor(1, 1,
                                    0L, TimeUnit.MILLISECONDS,
                                    new LinkedBlockingQueue<Runnable>()));
    }
    
    public static ExecutorService newSingleThreadExecutor(ThreadFactory threadFactory) {
            return new FinalizableDelegatedExecutorService
                (new ThreadPoolExecutor(1, 1,
                                        0L, TimeUnit.MILLISECONDS,
                                        new LinkedBlockingQueue<Runnable>(),
                                        threadFactory));
    }
    

    从ThreadPoolExecutor的构造参数依然可以看出,这个线程池仅有一个核心线程,其他的任务都在任务队列中排队。

    这样的线程池会让所有的任务都在同一个线程中执行,避免的同步问题。

    测试

    ExecutorService executor = Executors.newSingleThreadExecutor();
            Runnable myRunnable = new Runnable() {
        @Override
        public void run() {
            try {
                Thread.sleep(2000);
                System.out.println(Thread.currentThread().getName() + " run time: "+System.currentTimeMillis());
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
        }
    };
    for (int i = 0; i < 3; i++) {
        executor.execute(myRunnable);
    }
    
    Thread.sleep(65000);
    System.out.println("睡眠65秒后");
    for (int i = 0; i < 3; i++) {
        executor.execute(myRunnable);
    }
    
    pool-1-thread-1 run time: 1493864476076
    pool-1-thread-1 run time: 1493864478078
    pool-1-thread-1 run time: 1493864480082
    睡眠65秒后
    pool-1-thread-1 run time: 1493864541080
    pool-1-thread-1 run time: 1493864543083
    pool-1-thread-1 run time: 1493864545087
    

    自始至终都只有一个线程。而且不会被回收。

    ScheduledThreadPool

    ScheduledThreadPool使用new ScheduledThreadPoolExecutor来创建

    public static ScheduledExecutorService newScheduledThreadPool(int corePoolSize) {
        return new ScheduledThreadPoolExecutor(corePoolSize);
    }
    
    public static ScheduledExecutorService newScheduledThreadPool(
                int corePoolSize, ThreadFactory threadFactory) {
            return new ScheduledThreadPoolExecutor(corePoolSize, threadFactory);
    }
    

    看一下具体使用的构造参数:

    public ScheduledThreadPoolExecutor(int corePoolSize,
                                       ThreadFactory threadFactory) {
        super(corePoolSize, Integer.MAX_VALUE,
              DEFAULT_KEEPALIVE_MILLIS, MILLISECONDS,
              new DelayedWorkQueue(), threadFactory);
    }
    

    可以看到,这个线程池的核心线程数是固定的,但是总线程数是无限的,然而因为DelayedWorkQueue是个无界队列,所以这个值没有意义,超过核心线程的任务都会放在队列中。

    ScheduledThreadPoolExecutor主要是用来执行定时任务和有周期性的重复任务。

    这里就举个不恰当的例子,不是ScheduledThreadPoolExecutor的用法

    ExecutorService executor = Executors.newScheduledThreadPool(3);
            Runnable myRunnable = new Runnable() {
        @Override
        public void run() {
            try {
                Thread.sleep(2000);
                System.out.println(Thread.currentThread().getName() + " run time: "+System.currentTimeMillis());
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
        }
    };
    for (int i = 0; i < 6; i++) {
        executor.execute(myRunnable);
    }
    
    pool-1-thread-3 run time: 1493866372444
    pool-1-thread-1 run time: 1493866372444
    pool-1-thread-2 run time: 1493866372444
    pool-1-thread-2 run time: 1493866374450
    pool-1-thread-1 run time: 1493866374450
    pool-1-thread-3 run time: 1493866374450
    

    设置的是3,就只会创建3个线程。

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