java 1.5 concurrent 工具包中提供了五类线程池的创建:
ExecutorService executor=Executors.newCachedThreadPool(); ExecutorService cacheExecutor=Executors.newCachedThreadPool(new TestThreadFactory()); ExecutorService fixExecutor=Executors.newFixedThreadPool(10); ExecutorService fixedExecutor=Executors.newFixedThreadPool(10, new TestThreadFactory()); ExecutorService sigExecutor=Executors.newSingleThreadExecutor(); ExecutorService singleExecutor=Executors.newSingleThreadExecutor(new TestThreadFactory()); ScheduledExecutorService schExecutor=Executors.newScheduledThreadPool(10); ScheduledExecutorService scheduledExecutor=Executors.newScheduledThreadPool(10,new TestThreadFactory()); ScheduledExecutorService ssExecutor=Executors.newSingleThreadScheduledExecutor(); ScheduledExecutorService sigSchExcutor=Executors.newSingleThreadScheduledExecutor(new TestThreadFactory());
SingleThreadExecutor其实是FixedThreadPool的一个特例,SingleThreadExecutor指定对于同一个队列只有一个线程去循环读取队列任务并执行, FiexedThreadPool则可以为同一队列指定多个线程去循环读取队列任务并执行.
newFixedThreadPool(10)会产生10个线程去读取同一个任务队列,但这10个线程不是同时产生,而是提交一个任务(即执行一次execute()或者submit()方法)产生一个,当提交的任务数量超过10个,第11个任务直接提交到blockQueue<Runnable>队列里,然后由这10个线程中的某个线程去获取并执行该任务.FixedThreadPool产生的10个线程以后也不会被回收成9个,更不可能增加到11个.
CacheThreadPool不指定具体数量的线程去读取并只执行任务队列中的任务,但是它有个最大线程数(Integer.MAX_VALUE=2的32次-1), 当 任务队列饱和无法插入新任务时,会自动生成一个新的线程去执行新插入的任务,并参与读取饱和的任务队列并执行.如果高峰期生成了10个线程,低谷期只需要一个线程来执行,其余的9个线程在存活一段时间后就会被终止.存活时间默认是一分钟.这一点要和FixedThreadPool区分.
ScheduledThreadPool线程池线程数量也需要预先指定,它的主要特点是按计划延时读取并执行队列任务
无论何种线程,当任务队列增加任务的速度大于队列读取执行的速度时,就可能产生任务丢失的情况,丢失的概率由低到高依次是
CacheThreadPool > newFixedThreadPool > SingleThreadExecutor,这个很好理解.这种情况下,程序默认都会向外抛出RejectedExecutionException异常
new 线程池的时候另一个构造参数 ThreadFactory,主要用途就是对提交的任务做个简单的封装.
附上几个核心的代码片段
public void execute(Runnable command) {
if (command == null)
throw new NullPointerException();
if (poolSize >= corePoolSize || !addIfUnderCorePoolSize(command)) {
if (runState == RUNNING && workQueue.offer(command)) {
if (runState != RUNNING || poolSize == 0)
ensureQueuedTaskHandled(command);
}
else if (!addIfUnderMaximumPoolSize(command))
reject(command); // is shutdown or saturated
}
} private boolean addIfUnderCorePoolSize(Runnable firstTask) {
Thread t = null;
final ReentrantLock mainLock = this.mainLock;
mainLock.lock();
try {
if (poolSize < corePoolSize && runState == RUNNING)
t = addThread(firstTask);
} finally {
mainLock.unlock();
}
if (t == null)
return false;
t.start();
return true;
} private Thread addThread(Runnable firstTask) {
Worker w = new Worker(firstTask);
Thread t = threadFactory.newThread(w);
if (t != null) {
w.thread = t;
workers.add(w);
int nt = ++poolSize;
if (nt > largestPoolSize)
largestPoolSize = nt;
}
return t;
}/**
* Runs a single task between before/after methods.
*/
private void runTask(Runnable task) {
final ReentrantLock runLock = this.runLock;
runLock.lock();
try {
/*
* Ensure that unless pool is stopping, this thread
* does not have its interrupt set. This requires a
* double-check of state in case the interrupt was
* cleared concurrently with a shutdownNow -- if so,
* the interrupt is re-enabled.
*/
if (runState < STOP &&
Thread.interrupted() &&
runState >= STOP)
thread.interrupt();
/*
* Track execution state to ensure that afterExecute
* is called only if task completed or threw
* exception. Otherwise, the caught runtime exception
* will have been thrown by afterExecute itself, in
* which case we don't want to call it again.
*/
boolean ran = false;
beforeExecute(thread, task);
try {
task.run();
ran = true;
afterExecute(task, null);
++completedTasks;
} catch (RuntimeException ex) {
if (!ran)
afterExecute(task, ex);
throw ex;
}
} finally {
runLock.unlock();
}
}
/**
* Main run loop
*/
public void run() {
try {
Runnable task = firstTask;
firstTask = null;
while (task != null || (task = getTask()) != null) {
runTask(task);
task = null;
}
} finally {
workerDone(this);
}
}
原文地址：http://blog.csdn.net/zhuyijian135757/article/details/42199147
