为什么80%的码农都做不了架构师？>>> 
##序 tomcat的线程池扩展了jdk的executor，而且队列用的是自己的task queue，因此其策略与jdk的有所不同，需要注意一下，不然容易踩坑。
##tomcat线程池策略 acceptCount="300"，指的是当线程数达到maxThreads后，后续请求会继续被放入等待队列，这个acceptCount是这个队列的大小，如果这个队列也满了就直接refuse connection。
- 场景1：接受一个请求，此时tomcat启动的线程数还没有达到corePoolSize(
tomcat里头叫minSpareThreads)，tomcat会启动一个线程来处理该请求； - 场景2：接受一个请求，此时tomcat启动的线程数已经达到了corePoolSize，tomcat把该请求放入队列(
offer)，如果放入队列成功，则返回，放入队列不成功，则尝试增加工作线程，在当前线程个数
值得注意的是，使用LinkedBlockingQueue的话，默认是使用Integer.MAX_VALUE，即无界队列(这种情况下如果没有配置队列的capacity的话，队列始终不会满，那么始终无法进入开启新线程到达maxThreads个数的地步，则此时配置maxThreads其实是没有意义的)。
而TaskQueue的队列capacity为maxQueueSize，默认也是Integer.MAX_VALUE。但是，其重写offer方法，当其线程池大小小于maximumPoolSize的时候，返回false，即在一定程度改写了队列满的逻辑，修复了使用LinkedBlockingQueue默认的capacity为Integer.MAX_VALUE的时候，maxThreads失效的"bug"。从而可以继续增长线程到maxThreads，超过之后，继续放入队列。
TaskQueue的offer操作
@Override
public boolean offer(Runnable o) {
//we can't do any checks
if (parent==null) return super.offer(o);
//we are maxed out on threads, simply queue the object
if (parent.getPoolSize() == parent.getMaximumPoolSize()) return super.offer(o);
//we have idle threads, just add it to the queue
if (parent.getSubmittedCount()<(parent.getPoolSize())) return super.offer(o);
//if we have less threads than maximum force creation of a new thread
if (parent.getPoolSize()###StandardThreadExecutor
/**
* Start the component and implement the requirements
* of {@link org.apache.catalina.util.LifecycleBase#startInternal()}.
*
* @exception LifecycleException if this component detects a fatal error
* that prevents this component from being used
*/
@Override
protected void startInternal() throws LifecycleException {
taskqueue = new TaskQueue(maxQueueSize);
TaskThreadFactory tf = new TaskThreadFactory(namePrefix,daemon,getThreadPriority());
executor = new ThreadPoolExecutor(getMinSpareThreads(), getMaxThreads(), maxIdleTime, TimeUnit.MILLISECONDS,taskqueue, tf);
executor.setThreadRenewalDelay(threadRenewalDelay);
if (prestartminSpareThreads) {
executor.prestartAllCoreThreads();
}
taskqueue.setParent(executor);
setState(LifecycleState.STARTING);
}
值得注意的是，tomcat的线程池使用了自己扩展的taskQueue，而不是Executors工厂方法里头用的LinkedBlockingQueue。(主要是修改了offer的逻辑)
这里的maxQueueSize默认为
/**
* The maximum number of elements that can queue up before we reject them
*/
protected int maxQueueSize = Integer.MAX_VALUE;
###org/apache/tomcat/util/threads/ThreadPoolExecutor
/**
* Executes the given command at some time in the future. The command
* may execute in a new thread, in a pooled thread, or in the calling
* thread, at the discretion of the Executor implementation.
* If no threads are available, it will be added to the work queue.
* If the work queue is full, the system will wait for the specified
* time and it throw a RejectedExecutionException if the queue is still
* full after that.
*
* @param command the runnable task
* @param timeout A timeout for the completion of the task
* @param unit The timeout time unit
* @throws RejectedExecutionException if this task cannot be
* accepted for execution - the queue is full
* @throws NullPointerException if command or unit is null
*/
public void execute(Runnable command, long timeout, TimeUnit unit) {
submittedCount.incrementAndGet();
try {
super.execute(command);
} catch (RejectedExecutionException rx) {
if (super.getQueue() instanceof TaskQueue) {
final TaskQueue queue = (TaskQueue)super.getQueue();
try {
if (!queue.force(command, timeout, unit)) {
submittedCount.decrementAndGet();
throw new RejectedExecutionException("Queue capacity is full.");
}
} catch (InterruptedException x) {
submittedCount.decrementAndGet();
throw new RejectedExecutionException(x);
}
} else {
submittedCount.decrementAndGet();
throw rx;
}
}
}
注意看这里改写了jdk线程池默认的Rejected规则，即catch住了RejectedExecutionException。正常jdk的规则是core线程数＋临时线程数 >maxSize的时候，就抛出RejectedExecutionException。这里catch住的话，继续往taskQueue里头放。
public boolean force(Runnable o, long timeout, TimeUnit unit) throws InterruptedException {
if ( parent==null || parent.isShutdown() ) throw new RejectedExecutionException("Executor not running, can't force a command into the queue");
return super.offer(o,timeout,unit); //forces the item onto the queue, to be used if the task is rejected
}
注意的是这里调用的super.offer(o,timeout,unit)，即LinkedBlockingQueue，只有当列满的时候，返回false，才会抛出重新抛出RejectedExecutionException。(这里改变了jdk的ThreadPoolExecutor的RejectedExecutionException抛出的逻辑，也就是超出了maxThreads不会抛出RejectedExecutionException，而是继续往队列丢任务，而taskQueue本身是无界的，因此可以默认几乎不会抛出RejectedExecutionException)
##JDK线程池策略
- 每次提交任务时，如果线程数还没达到coreSize就创建新线程并绑定该任务。所以第coreSize次提交任务后线程总数必达到coreSize，不会重用之前的空闲线程。
- 线程数达到coreSize后，新增的任务就放到工作队列里，而线程池里的线程则努力的使用take()从工作队列里拉活来干。
- 如果队列是个有界队列，又如果线程池里的线程不能及时将任务取走，工作队列可能会满掉，插入任务就会失败，此时线程池就会紧急的再创建新的临时线程来补救。
- 临时线程使用poll(keepAliveTime，timeUnit)来从工作队列拉活，如果时候到了仍然两手空空没拉到活，表明它太闲了，就会被解雇掉。
- 如果core线程数＋临时线程数 >maxSize，则不能再创建新的临时线程了，转头执行RejectExecutionHanlder。默认的AbortPolicy抛RejectedExecutionException异常，其他选择包括静默放弃当前任务(Discard)，放弃工作队列里最老的任务(DisacardOldest)，或由主线程来直接执行(CallerRuns).
源码
/**
* Executes the given task sometime in the future. The task
* may execute in a new thread or in an existing pooled thread.
*
* If the task cannot be submitted for execution, either because this
* executor has been shutdown or because its capacity has been reached,
* the task is handled by the current {@code RejectedExecutionHandler}.
*
* @param command the task to execute
* @throws RejectedExecutionException at discretion of
* {@code RejectedExecutionHandler}, if the task
* cannot be accepted for execution
* @throws NullPointerException if {@code command} is null
*/
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);
}
##小结 tomcat的线程池与jdk的使用无界LinkedBlockingQueue主要有如下两点区别：
- jdk的ThreadPoolExecutor的线程池增长策略是：如果队列是个有界队列，又如果线程池里的线程不能及时将任务取走，工作队列可能会满掉，插入任务就会失败，此时线程池就会紧急的再创建新的临时线程来补救。而tomcat的ThreadPoolExecutor使用的taskQueue，是无界的LinkedBlockingQueue，但是通过taskQueue的offer方法覆盖了LinkedBlockingQueue的offer方法，改写了规则，使得它也走jdk的ThreadPoolExecutor的有界队列的线程增长策略。
- jdk的ThreadPoolExecutor的线程池，当core线程数＋临时线程数 > maxSize，则不能再创建新的临时线程了，转头执行RejectExecutionHanlder。而tomcat的ThreadPoolExecutor则改写了这个规则，即catch住了RejectExecutionHanlder，继续往队列里头放，直到队列满了才抛出RejectExecutionHanlder。而默认taskQueue是无界的。
疑问：既然taskQueue是无界的，那么在哪里控制tomcat服务器的接收请求限制，如何自我保护。另外acceptCount与maxConnections到底是什么关系。
##doc
- Tomcat性能优化
- Tomcat调优
- 聊聊并发（三）——JAVA线程池的分析和使用
- Java ThreadPool的正确打开方式
- Tomcat的Connector组件
- 一次Tomcat hang住问题排查手记