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Runnable,Callable,Future关联浅析

Runnable,Callable,Future关联浅析

作者: hahaee | 来源:发表于2018-03-04 21:38 被阅读205次

    title: Runnable,Callable,Future关联浅析
    tags: 面试,小书匠
    grammar_cjkRuby: true


    Runnable,Callable,Future

    Runnable,Callable在ThreadPoolExecutor中的使用

    在使用ExecutorService的使用一般会使用submit()方法提交runnable或者callable

    看一下AbstractExecutorService中的实现

    //java.util.concurrent.AbstractExecutorService
    public Future<?> submit(Runnable task) {
        if (task == null) throw new NullPointerException();
        RunnableFuture<Void> ftask = newTaskFor(task, null);
        execute(ftask);
        return ftask;
    }
    
    public <T> Future<T> submit(Callable<T> task) {
        if (task == null) throw new NullPointerException();
        RunnableFuture<T> ftask = newTaskFor(task);
        execute(ftask);
        return ftask;
    }
    

    可以看到都通过newTaskFor()方法生成一个RunnableFuture对象

    protected <T> RunnableFuture<T> newTaskFor(Runnable runnable, T value) {
        return new FutureTask<T>(runnable, value);
    }
    
        
    protected <T> RunnableFuture<T> newTaskFor(Callable<T> callable) {
        return new FutureTask<T>(callable);
    }
    

    看一下RunnableFuture的构造

    //java.util.concurrent.FutureTask
    public FutureTask(Callable<V> callable) {
         if (callable == null)
         throw new NullPointerException();
         this.callable = callable;
         this.state = NEW;       // ensure visibility of callable
    }
    
    public FutureTask(Runnable runnable, V result) {
        //包装runnable->callable
        this.callable = Executors.callable(runnable, result);
        this.state = NEW;       // ensure visibility of callable
    }
    
    //java.util.concurrent.Executors
    public static <T> Callable<T> callable(Runnable task, T result) {
        if (task == null)
        throw new NullPointerException();
        return new RunnableAdapter<T>(task, result);
    }
    
    //java.util.concurrent.Executors.RunnableAdapter
    //适配器模式 runnable->callable
    static final class RunnableAdapter<T> implements Callable<T> {
        final Runnable task;
        final T result;
        RunnableAdapter(Runnable task, T result) {
          this.task = task;
          this.result = result;
        }
        public T call() {
          task.run();
          return result;
        }
    }
    
    

    从上面代码可以看submit(Runnable)和submit(Callable)方法的实现步骤

    1. 判空
    2. 生成RunnableFuture对象
    3. 调用execute()方法
     //java.util.concurrent.ThreadPoolExecutor
     
     //任务队列
     private final BlockingQueue<Runnable> workQueue;
     
     public void execute(Runnable command) {
           ...
           workQueue.offer(command)
           ...
     }
    

    从execute(Runnable)方法签名可以得出: RunnableFuture是个Runnable实现类

    FutureTask是RunnableFuture的实现类

    看一下FutureTask的继承关系

    WX20180304-150947@2x.png

    RunnableFuture是一个适配器模式的实现 将Future适配为Runable

    看一下FutureTask是如何实现Runnable接口的

     public void run() {
            ...
            try {
                Callable<V> c = callable;
                if (c != null && state == NEW) {
                    V result;
                    boolean ran;
                    try {
                        //执行callable.call()方法
                        result = c.call();
                        ran = true;
                    } catch (Throwable ex) {
                        result = null;
                        ran = false;
                        setException(ex);
                    }
                    if (ran)//保存结果
                        set(result);
                }
            } finally {
                // runner must be non-null until state is settled to
                // prevent concurrent calls to run()
                runner = null;
                // state must be re-read after nulling runner to prevent
                // leaked interrupts
                int s = state;
                if (s >= INTERRUPTING)
                    handlePossibleCancellationInterrupt(s);
            }
        }
    

    总结:

    1. ThreadPoolExecutor中的任务队列存放的Runnable对象
    2. 通过execute方法提交的Runable对象会被直接塞到任务队列中
    3. 通过submit(Callable)方法提交的Callable对象会被包装FutureTask对象,再塞到任务队列中
    4. 通过submit(Runnable)方法提交的Runnable会被包装成RunnableAdapter对象(Callable实现),再包成FutureTask对象,再塞到任务队列中

    Future

    Future:一个异步计算的占位对象,用于获取一个将被计算的结果

    WX20180304-153055@2x.png

    Future特性:

    1. 通过get()获取一个将被计算的结果
    2. 通过cancel()方法取消对结果的计算

    FutureTask.cancel()实现

    FutureTask的几种状态

        private static final int NEW          = 0;
        private static final int COMPLETING   = 1;
        private static final int NORMAL       = 2;
        private static final int EXCEPTIONAL  = 3;
        private static final int CANCELLED    = 4;
        private static final int INTERRUPTING = 5;
        private static final int INTERRUPTED  = 6;
        
        //可能出现的状态变化过程
         * NEW -> COMPLETING -> NORMAL
         * NEW -> COMPLETING -> EXCEPTIONAL
         * NEW -> CANCELLED
         * NEW -> INTERRUPTING -> INTERRUPTED
    

    cancel实现过程

    public boolean cancel(boolean mayInterruptIfRunning) {
            // 1.状态判断 
            // 只有state==New且通过cas修改state值成功 才往下执行 否则return false
            if (!(state == NEW &&
                  //状态变化
                  // mayInterruptIfRunning? NEW->INTERRUPTING:NEW->CANCELLED
                  UNSAFE.compareAndSwapInt(this, stateOffset, NEW,
                      mayInterruptIfRunning ? INTERRUPTING : CANCELLED)))
                return false;
            try {    // in case call to interrupt throws exception
                if (mayInterruptIfRunning) {//2.打断运行
                    try {
                        Thread t = runner;
                        if (t != null)
                            t.interrupt();
                    } finally { // INTERRUPTING->INTERRUPTED
                        UNSAFE.putOrderedInt(this, stateOffset, INTERRUPTED);
                    }
                }
            } finally {
                //3.结束
                finishCompletion();
            }
            return true;
        }
    

    过程分析:

    1. 状态判断

      if表达式可以拆分成 state == NEW 和 UNSAFE.compareAndSwapInt(this, stateOffset, NEW,mayInterruptIfRunning ? INTERRUPTING : CANCELLED)

      1. state == NEW 判断当前状态是否为NEW

      2. UNSAFE.compareAndSwapInt(this, stateOffset, NEW,mayInterruptIfRunning ? INTERRUPTING : CANCELLED)

        这是一个cas的修改方式 相当于state=mayInterruptIfRunning ? INTERRUPTING : CANCELLED

        cas的方式主要出于线程安全的考虑

        unsafe的用法请自行查阅资料

      总结:如果状态为NEW 且 获取到锁 方可执行真正的cancle操作

    2. 打断运行

      mayInterruptIfRunning?thread.interrupt() : 无操作 ;

    3. 结束

      finishCompletion();

    绘图1.png

    总结:

    1. 只有state==NEW时才可以进行cancel
    2. 通过unsafe的cas操作修改state
    3. 状态变化两条线
      1. NEW->CANCLE
      2. NEW->INTERRUPTING->INTERRUPTED

    FutureTask.run()实现

    public void run() {
            // 1.状态判断 
            // 只有state==New且通过cas设置runner值成功 才往下执行 否则return false
            if (state != NEW ||
                !UNSAFE.compareAndSwapObject(this, runnerOffset,
                                             null, Thread.currentThread()))
                return;
            try {
                Callable<V> c = callable;
                if (c != null && state == NEW) {
                    V result;
                    boolean ran;
                    try {
                        //执行callable.call()
                        result = c.call();
                        ran = true;
                    } catch (Throwable ex) {
                        result = null;
                        ran = false;
                        //NEW->COMPLETING->EXCEPTIONAL
                        setException(ex);
                    }
                    if (ran)//NEW->COMPLETING->NORMAL
                        set(result);
                }
            } finally {
                // runner must be non-null until state is settled to
                // prevent concurrent calls to run()
                runner = null;
                // state must be re-read after nulling runner to prevent
                // leaked interrupts
                int s = state;
                if (s >= INTERRUPTING)
                    handlePossibleCancellationInterrupt(s);
            }
        }
     protected void setException(Throwable t) {
            // 防止cancle()方法修改state
            if (UNSAFE.compareAndSwapInt(this, stateOffset, NEW, COMPLETING)) {
                outcome = t;
                UNSAFE.putOrderedInt(this, stateOffset, EXCEPTIONAL); // final state
                finishCompletion();
            }
        }
     protected void set(V v) {
            // 防止cancle()方法修改state
            if (UNSAFE.compareAndSwapInt(this, stateOffset, NEW, COMPLETING)) {
                outcome = v;
                UNSAFE.putOrderedInt(this, stateOffset, NORMAL); // final state
                finishCompletion();
            }
        }
    

    总结:

    1. 只有state==NEW时方法执行run()过程
    2. 通过unsafe的cas设置runner(当前线程)
    3. 状态变化 两条线:
      1. NEW->COMPLETING->EXCEPTIONAL
      2. NEW->COMPLETING->NORMAL

    cancle()总结

    1. 如果run()尚未被执行 则将callable置空且修改状态为非NEW(这样run()方法就不会执行)
    2. 如果run()正在执行且callable.call()尚未执行完成 则调用thread.interrpt()通知线程停止(只是通知 无法保证打断线程 具体原因自行查阅interrpt()资料) 由于cancle修改了state状态 所以setException()和set()无法保存结果
    3. 如果run()执行完毕 或者 callable.call()执行完成 由于 state!=NEW 所以cancle()不继续执行 返回失败

    FutureTask.get()实现

    public V get() throws InterruptedException, ExecutionException {
            int s = state;
            if (s <= COMPLETING)//阻塞等待
                s = awaitDone(false, 0L);
            return report(s);
        }
    private int awaitDone(boolean timed, long nanos)
            throws InterruptedException {
            final long deadline = timed ? System.nanoTime() + nanos : 0L;
            WaitNode q = null;
            boolean queued = false;
            for (;;) {
                //cancle()过程中调用thread.interrupt()则退出循环 并抛异常
                if (Thread.interrupted()) {
                    removeWaiter(q);
                    throw new InterruptedException();
                }
    
                int s = state;
                if (s > COMPLETING) {//执行完成(包括执行异常) 或被取消 返回当前status
                    if (q != null)
                        q.thread = null;
                    return s;
                }
                else if (s == COMPLETING) //执行完成但尚未修改状态 则Thread.yield()让出cpu资源
                    Thread.yield();
                else if (q == null)//尚未执行完成 则加入生成等待节点
                    q = new WaitNode();
                else if (!queued)//当前等待节点尚未加入等待队列 则cas方式加入等待队列
                    queued = UNSAFE.compareAndSwapObject(this, waitersOffset,
                                                         q.next = waiters, q);
                else if (timed) {//已经加入等待队列 则阻塞等待
                    nanos = deadline - System.nanoTime();
                    if (nanos <= 0L) {
                        removeWaiter(q);
                        return state;
                    }
                    LockSupport.parkNanos(this, nanos);
                }
                else//同上
                    LockSupport.park(this);
            }
        }
    //根据state 返回不同结果
    private V report(int s) throws ExecutionException {
            Object x = outcome;
            if (s == NORMAL)
                return (V)x;
            if (s >= CANCELLED)
                throw new CancellationException();
            throw new ExecutionException((Throwable)x);
        }
    
    //run()和cancle()最终都会调用finishCompletion() 分析是如何唤醒等待队列中的节点的
    private void finishCompletion() {
            // assert state > COMPLETING;
            for (WaitNode q; (q = waiters) != null;) {
                // cas方式修改将等待队列置空
                if (UNSAFE.compareAndSwapObject(this, waitersOffset, q, null)) {
                    for (;;) {
                        Thread t = q.thread;
                        if (t != null) {
                            q.thread = null;
                            LockSupport.unpark(t);//唤醒等待节点
                        }
                        WaitNode next = q.next;//指针指向下个等待节点
                        if (next == null)
                            break;
                        q.next = null; // unlink to help gc
                        q = next;
                    }
                    break;
                }
            }
    
            done();
    
            callable = null;        // callable置空
        }
    

    get()总结:

    1. 生成等待节点并加入等待队列中
    2. 通过LockSupport.park() 进行自旋 等待被唤醒
    3. 根据state包装任务执行结果

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