五个状态
// runState is stored in the high-order bits
private static final int RUNNING = -1 << COUNT_BITS;
private static final int SHUTDOWN = 0 << COUNT_BITS;
private static final int STOP = 1 << COUNT_BITS;
private static final int TIDYING = 2 << COUNT_BITS;
private static final int TERMINATED = 3 << COUNT_BITS;循环getTask方法
/**
* Performs blocking or timed wait for a task, depending on
* current configuration settings, or returns null if this worker
* must exit because of any of:
* 1. There are more than maximumPoolSize workers (due to
* a call to setMaximumPoolSize).
* 2. The pool is stopped.
* 3. The pool is shutdown and the queue is empty.
* 4. This worker timed out waiting for a task, and timed-out
* workers are subject to termination (that is,
* {@code allowCoreThreadTimeOut || workerCount > corePoolSize})
* both before and after the timed wait.
*
* @return task, or null if the worker must exit, in which case
* workerCount is decremented
*/
private Runnable getTask() {
boolean timedOut = false; // Did the last poll() time out?
retry:
for (;;) {
int c = ctl.get();
int rs = runStateOf(c);
// Check if queue empty only if necessary.
if (rs >= SHUTDOWN && (rs >= STOP || workQueue.isEmpty())) {
decrementWorkerCount();
return null;
}
boolean timed; // Are workers subject to culling?
for (;;) {
int wc = workerCountOf(c);
timed = allowCoreThreadTimeOut || wc > corePoolSize;
//默认allowCoreThreadTimeOut为false，除非程序指定
//（1）当没有超过核心线程时，默认allowCoreThreadTimeOut为false时
//timed值为false，始终break掉，不会销毁线程
//（2）当超过核心线程数，默认allowCoreThreadTimeOut为false时
//timed值为true，如果超过最大值，则销毁；如果timeout过，则销毁
// 如果allowCoreThreadTimeOut为true，则timed始终为true
if (wc <= maximumPoolSize && ! (timedOut && timed))
break;
if (compareAndDecrementWorkerCount(c))
return null;
c = ctl.get(); // Re-read ctl
if (runStateOf(c) != rs)
continue retry;
// else CAS failed due to workerCount change; retry inner loop
}
try {
Runnable r = timed ?
workQueue.poll(keepAliveTime, TimeUnit.NANOSECONDS) :
workQueue.take();
if (r != null)
return r;
timedOut = true;
} catch (InterruptedException retry) {
timedOut = false;
}
}
}线程池状态大于SHUTDOWN值的两种情况
1、调用shutdown方法
当线程池调用了shutdown方法，线程池的状态会首先被设置为SHUTDOWN，然后遍历线程池中所有线程，调用一次interrupt方法，如果在休眠中的线程将会激活，激活后的线程以及调用shutdown方法本身的线程都会尝试去调用tryTerminate方法，该方法将判定如果线程池中所有记录的线程数为0，则将线程状态改为TERMINATED，这个值为3，将大于SHUTDOWN状态值。
2、调用shutdownNow方法
当线程调用了shutdownNow方法后，首先将线程的状态修改为STOP，这个状态是大于SHUTDOWN值的，接下来它也会通过中断激活线程，只是它来的更暴力一些，连加锁和一些基本判断都没有，直接中断；在调用tryTerminate之前会先清空阻塞队列中所有的元素，这些元素被组装为一个List列表作为shutdownNow方法的返回值。换句话说，没有执行的任务在shutdownNow执行后的返回值中可以得到。在程序某些必要的情况下，可以通过线程池的isTerminating，isTerminated，isStopped，isShutdown来对线程做一些状态判定。
KeepAliveTime参数
workQueue.poll(keepAliveTime, TimeUnit.NANOSECONDS)当阻塞队列中没有任务时，等待时间达到keepAliveTime毫秒值时就会被自动唤醒，而不会永远地沉睡下去。
keepAliveTime，如果是通过newCachedThreadPool的话，默认是1分钟超时，如果遇到前面所提到的瞬间冲击，那么线程池数量将瞬间快速膨胀，而且这些瞬间膨胀的线程的生命周期最少在1分钟以上。
如果设置了该参数，那么当timeout的时候，就return null，就会跳出循环，回收线程。
if (wc <= maximumPoolSize && ! (timedOut && timed))
break;
if (compareAndDecrementWorkerCount(c))
return null;allowCoreThreadTimeout : 默认情况下核心线程不会退出，可通过将该参数设置为true，让核心线程也退出。
默认的Executors工厂，只有newCachedThreadPool，timeout为60秒，出现timeout情况下，而且线程数超过了核心线程数，会销毁销毁线程。保持在corePoolSize数（如果是cached的，corePoolSize为0）。
/**
* Timeout in nanoseconds for idle threads waiting for work.
* Threads use this timeout when there are more than corePoolSize
* present or if allowCoreThreadTimeOut. Otherwise they wait
* forever for new work.
*/
private volatile long keepAliveTime;
/**
* If false (default), core threads stay alive even when idle.
* If true, core threads use keepAliveTime to time out waiting
* for work.
*/
private volatile boolean allowCoreThreadTimeOut;线程池最小是corePoolSize，最大是maximumPoolSize，除非设置了allowCoreThreadTimeOut和超时时间，这种情况线程数可能减少到0，最大可能是Integer.MAX_VALUE。
Core pool size is the minimum number of workers to keep alive(and not allow to time out etc) unless allowCoreThreadTimeOut is set, in which case the minimum is zero.
/**
* Creates a thread pool that creates new threads as needed, but
* will reuse previously constructed threads when they are
* available. These pools will typically improve the performance
* of programs that execute many short-lived asynchronous tasks.
* Calls to execute will reuse previously constructed
* threads if available. If no existing thread is available, a new
* thread will be created and added to the pool. Threads that have
* not been used for sixty seconds are terminated and removed from
* the cache. Thus, a pool that remains idle for long enough will
* not consume any resources. Note that pools with similar
* properties but different details (for example, timeout parameters)
* may be created using {@link ThreadPoolExecutor} constructors.
*
* @return the newly created thread pool
*/
public static ExecutorService newCachedThreadPool() {
return new ThreadPoolExecutor(0, Integer.MAX_VALUE,
60L, TimeUnit.SECONDS,
new SynchronousQueue());
}
/**
* Creates a thread pool that creates new threads as needed, but
* will reuse previously constructed threads when they are
* available, and uses the provided
* ThreadFactory to create new threads when needed.
* @param threadFactory the factory to use when creating new threads
* @return the newly created thread pool
* @throws NullPointerException if threadFactory is null
*/
public static ExecutorService newCachedThreadPool(ThreadFactory threadFactory) {
return new ThreadPoolExecutor(0, Integer.MAX_VALUE,
60L, TimeUnit.SECONDS,
new SynchronousQueue(),
threadFactory);
} 超时timeout设置为0的话，表示不等待
public E poll(long timeout, TimeUnit unit) throws InterruptedException {
return pollFirst(timeout, unit);
}具体如下
public E pollFirst(long timeout, TimeUnit unit)
throws InterruptedException {
long nanos = unit.toNanos(timeout);
final ReentrantLock lock = this.lock;
lock.lockInterruptibly();
try {
E x;
while ( (x = unlinkFirst()) == null) {
if (nanos <= 0)
return null;
nanos = notEmpty.awaitNanos(nanos);
}
return x;
} finally {
lock.unlock();
}
}