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本文主要解析一下futureTask的超时原理。

实例

ExecutorService executor = Executors.newFixedThreadPool(1);
Future<?> future = executor.submit(new Callable<Void>() {public Void call() throws Exception {//do somethingreturn null;}});
future.get(500, TimeUnit.MILLISECONDS);复制代码

里头构造的是java/util/concurrent/ThreadPoolExecutor.java

submit

java/util/concurrent/AbstractExecutorService.java

public <T> Future<T> submit(Callable<T> task) {if (task == null) throw new NullPointerException();RunnableFuture<T> ftask = newTaskFor(task);execute(ftask);return ftask;
}
protected <T> RunnableFuture<T> newTaskFor(Callable<T> callable) {return new FutureTask<T>(callable);
}复制代码

execute

java/util/concurrent/ThreadPoolExecutor.java

public void execute(Runnable command) {if (command == null)throw new NullPointerException();/** Proceed in 3 steps:** 1. If fewer than corePoolSize threads are running, try to* start a new thread with the given command as its first* task.  The call to addWorker atomically checks runState and* workerCount, and so prevents false alarms that would add* threads when it shouldn't, by returning false.** 2. If a task can be successfully queued, then we still need* to double-check whether we should have added a thread* (because existing ones died since last checking) or that* the pool shut down since entry into this method. So we* recheck state and if necessary roll back the enqueuing if* stopped, or start a new thread if there are none.** 3. If we cannot queue task, then we try to add a new* thread.  If it fails, we know we are shut down or saturated* and so reject the task.*/int c = ctl.get();if (workerCountOf(c) < corePoolSize) {if (addWorker(command, true))return;c = ctl.get();}if (isRunning(c) && workQueue.offer(command)) {int recheck = ctl.get();if (! isRunning(recheck) && remove(command))reject(command);else if (workerCountOf(recheck) == 0)addWorker(null, false);}else if (!addWorker(command, false))reject(command);}复制代码

这里只是放入workQueue，然后判断是否需要添加线程

runWorker

java/util/concurrent/ThreadPoolExecutor.java

final void runWorker(Worker w) {Thread wt = Thread.currentThread();Runnable task = w.firstTask;w.firstTask = null;w.unlock(); // allow interruptsboolean completedAbruptly = true;try {while (task != null || (task = getTask()) != null) {w.lock();// If pool is stopping, ensure thread is interrupted;// if not, ensure thread is not interrupted.  This// requires a recheck in second case to deal with// shutdownNow race while clearing interruptif ((runStateAtLeast(ctl.get(), STOP) ||(Thread.interrupted() &&runStateAtLeast(ctl.get(), STOP))) &&!wt.isInterrupted())wt.interrupt();try {beforeExecute(wt, task);Throwable thrown = null;try {task.run();} catch (RuntimeException x) {thrown = x; throw x;} catch (Error x) {thrown = x; throw x;} catch (Throwable x) {thrown = x; throw new Error(x);} finally {afterExecute(task, thrown);}} finally {task = null;w.completedTasks++;w.unlock();}}completedAbruptly = false;} finally {processWorkerExit(w, completedAbruptly);}}复制代码

这里循环从workQueue取出task，然后调用task.run()

futureTask.run

java/util/concurrent/FutureTask.java

public void run() {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 {result = c.call();ran = true;} catch (Throwable ex) {result = null;ran = false;setException(ex);}if (ran)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 interruptsint s = state;if (s >= INTERRUPTING)handlePossibleCancellationInterrupt(s);}}复制代码

这里如果执行完成的话，会调用set(result),而异常的话，会调用setException(ex)

protected void setException(Throwable t) {if (UNSAFE.compareAndSwapInt(this, stateOffset, NEW, COMPLETING)) {outcome = t;UNSAFE.putOrderedInt(this, stateOffset, EXCEPTIONAL); // final statefinishCompletion();}
}
protected void set(V v) {if (UNSAFE.compareAndSwapInt(this, stateOffset, NEW, COMPLETING)) {outcome = v;UNSAFE.putOrderedInt(this, stateOffset, NORMAL); // final statefinishCompletion();}
}复制代码

都把状态从NEW设置为COMPLETING

future.get(long)

public V get(long timeout, TimeUnit unit)throws InterruptedException, ExecutionException, TimeoutException {if (unit == null)throw new NullPointerException();int s = state;if (s <= COMPLETING &&(s = awaitDone(true, unit.toNanos(timeout))) <= COMPLETING)throw new TimeoutException();return report(s);}复制代码

这里看awaitDone，等待指定的时候，发现状态不是COMPLETING，则抛出TimeoutException，让调用线程返回。

private int awaitDone(boolean timed, long nanos)throws InterruptedException {final long deadline = timed ? System.nanoTime() + nanos : 0L;WaitNode q = null;boolean queued = false;for (;;) {if (Thread.interrupted()) {removeWaiter(q);throw new InterruptedException();}int s = state;if (s > COMPLETING) {if (q != null)q.thread = null;return s;}else if (s == COMPLETING) // cannot time out yetThread.yield();else if (q == null)q = new WaitNode();else if (!queued)queued = UNSAFE.compareAndSwapObject(this, waitersOffset,q.next = waiters, q);else if (timed) {nanos = deadline - System.nanoTime();if (nanos <= 0L) {removeWaiter(q);return state;}LockSupport.parkNanos(this, nanos);}elseLockSupport.park(this);}}复制代码

这里等待超时，然后返回原始状态

小结

由此可见，超时的机制其实不能中断callable里头实际执行的动作，超时只是让调用线程能够在指定时间返回而已，而底层调用的方法，实际还在执行。这里是需要额外注意的。