java 中ThreadPoolExecutor原理分析
线程池简介
Java线程池是开发中常用的工具,当我们有异步、并行的任务要处理时,经常会用到线程池,或者在实现一个服务器时,也需要使用线程池来接收连接处理请求。
线程池使用
JDK中提供的线程池实现位于java.util.concurrent.ThreadPoolExecutor。在使用时,通常使用ExecutorService接口,它提供了submit,invokeAll,shutdown等通用的方法。
在线程池配置方面,Executors类中提供了一些静态方法能够提供一些常用场景的线程池,如newFixedThreadPool,newCachedThreadPool,newSingleThreadExecutor等,这些方法最终都是调用到了ThreadPoolExecutor的构造函数。
ThreadPoolExecutor的包含所有参数的构造函数是
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/** * @param corePoolSize the number of threads to keep in the pool, even * if they are idle, unless { @code allowCoreThreadTimeOut} is set * @param maximumPoolSize the maximum number of threads to allow in the * pool * @param keepAliveTime when the number of threads is greater than * the core, this is the maximum time that excess idle threads * will wait for new tasks before terminating. * @param unit the time unit for the { @code keepAliveTime} argument * @param workQueue the queue to use for holding tasks before they are * executed. This queue will hold only the { @code Runnable} * tasks submitted by the { @code execute} method. * @param threadFactory the factory to use when the executor * creates a new thread * @param handler the handler to use when execution is blocked * because the thread bounds and queue capacities are reached public ThreadPoolExecutor( int corePoolSize, int maximumPoolSize, long keepAliveTime, TimeUnit unit, BlockingQueue<Runnable> workQueue, ThreadFactory threadFactory, RejectedExecutionHandler handler) { if (corePoolSize < 0 || maximumPoolSize <= 0 || maximumPoolSize < corePoolSize || keepAliveTime < 0 ) throw new IllegalArgumentException(); if (workQueue == null || threadFactory == null || handler == null ) throw new NullPointerException(); this .corePoolSize = corePoolSize; this .maximumPoolSize = maximumPoolSize; this .workQueue = workQueue; this .keepAliveTime = unit.toNanos(keepAliveTime); this .threadFactory = threadFactory; this .handler = handler; } |
- corePoolSize设置线程池的核心线程数,当添加新任务时,如果线程池中的线程数小于corePoolSize,则不管当前是否有线程闲置,都会创建一个新的线程来执行任务。
- maximunPoolSize是线程池中允许的最大的线程数
- workQueue用于存放排队的任务
- keepAliveTime是大于corePoolSize的线程闲置的超时时间
- handler用于在任务逸出、线程池关闭时的任务处理 ,线程池的线程增长策略为,当前线程数小于corePoolSize时,新增线程,当线程数=corePoolSize且corePoolSize时,只有在workQueue不能存放新的任务时创建新线程,超出的线程在闲置keepAliveTime后销毁。
实现(基于JDK1.8)
ThreadPoolExecutor中保存的状态有
当前线程池状态, 包括RUNNING,SHUTDOWN,STOP,TIDYING,TERMINATED。
当前有效的运行线程的数量。
将这两个状态放到一个int变量中,前三位作为线程池状态,后29位作为线程数量。
例如0b11100000000000000000000000000001, 表示RUNNING, 一个线程。
通过HashSet来存储工作者集合,访问该HashSet前必须先获取保护状态的mainLock:ReentrantLock
submit、execute
execute的执行方式为,首先检查当前worker数量,如果小于corePoolSize,则尝试add一个core Worker。线程池在维护线程数量以及状态检查上做了大量检测。
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public void execute(Runnable command) { int c = ctl.get(); // 如果当期数量小于corePoolSize if (workerCountOf(c) < corePoolSize) { // 尝试增加worker if (addWorker(command, true )) return ; c = ctl.get(); } // 如果线程池正在运行并且成功添加到工作队列中 if (isRunning(c) && workQueue.offer(command)) { // 再次检查状态,如果已经关闭则执行拒绝处理 int recheck = ctl.get(); if (! isRunning(recheck) && remove(command)) reject(command); // 如果工作线程都down了 else if (workerCountOf(recheck) == 0 ) addWorker( null , false ); } else if (!addWorker(command, false )) reject(command); } |
addWorker方法实现
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private boolean addWorker(Runnable firstTask, boolean core) { retry: for (;;) { int c = ctl.get(); int rs = runStateOf(c); // Check if queue empty only if necessary. if (rs >= SHUTDOWN && ! (rs == SHUTDOWN && firstTask == null && ! workQueue.isEmpty())) return false ; for (;;) { int wc = workerCountOf(c); if (wc >= CAPACITY || wc >= (core ? corePoolSize : maximumPoolSize)) return false ; if (compareAndIncrementWorkerCount(c)) break retry; c = ctl.get(); // Re-read ctl if (runStateOf(c) != rs) continue retry; // else CAS failed due to workerCount change; retry inner loop } } boolean workerStarted = false ; boolean workerAdded = false ; Worker w = null ; try { w = new Worker(firstTask); final Thread t = w.thread; if (t != null ) { final ReentrantLock mainLock = this .mainLock; mainLock.lock(); try { // Recheck while holding lock. // Back out on ThreadFactory failure or if // shut down before lock acquired. int rs = runStateOf(ctl.get()); if (rs < SHUTDOWN || (rs == SHUTDOWN && firstTask == null )) { if (t.isAlive()) // precheck that t is startable throw new IllegalThreadStateException(); workers.add(w); int s = workers.size(); if (s > largestPoolSize) largestPoolSize = s; workerAdded = true ; } } finally { mainLock.unlock(); } if (workerAdded) { // 如果添加成功,则启动该线程,执行Worker的run方法,Worker的run方法执行外部的runWorker(Worker) t.start(); workerStarted = true ; } } } finally { if (! workerStarted) addWorkerFailed(w); } return workerStarted; } |
Worker类继承了AbstractQueuedSynchronizer获得了同步等待这样的功能。
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private final class Worker extends AbstractQueuedSynchronizer implements Runnable { /** * This class will never be serialized, but we provide a * serialVersionUID to suppress a javac warning. */ private static final long serialVersionUID = 6138294804551838833L; /** Thread this worker is running in. Null if factory fails. */ final Thread thread; /** Initial task to run. Possibly null. */ Runnable firstTask; /** Per-thread task counter */ volatile long completedTasks; /** * Creates with given first task and thread from ThreadFactory. * @param firstTask the first task (null if none) */ Worker(Runnable firstTask) { setState(- 1 ); // inhibit interrupts until runWorker this .firstTask = firstTask; this .thread = getThreadFactory().newThread( this ); } /** Delegates main run loop to outer runWorker */ public void run() { runWorker( this ); } // Lock methods // // The value 0 represents the unlocked state. // The value 1 represents the locked state. protected boolean isHeldExclusively() { return getState() != 0 ; } protected boolean tryAcquire( int unused) { if (compareAndSetState( 0 , 1 )) { setExclusiveOwnerThread(Thread.currentThread()); return true ; } return false ; } protected boolean tryRelease( int unused) { setExclusiveOwnerThread( null ); setState( 0 ); return true ; } public void lock() { acquire( 1 ); } public boolean tryLock() { return tryAcquire( 1 ); } public void unlock() { release( 1 ); } public boolean isLocked() { return isHeldExclusively(); } void interruptIfStarted() { Thread t; if (getState() >= 0 && (t = thread) != null && !t.isInterrupted()) { try { t.interrupt(); } catch (SecurityException ignore) { } } } |
runWorker(Worker)是Worker的轮询执行逻辑,不断地从工作队列中获取任务并执行它们。Worker每次执行任务前需要进行lock,防止在执行任务时被interrupt。
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final void runWorker(Worker w) { Thread wt = Thread.currentThread(); Runnable task = w.firstTask; w.firstTask = null ; w.unlock(); // allow interrupts boolean 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 interrupt if ((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); } } |
ThreadPoolExecutor的submit方法中将Callable包装成FutureTask后交给execute方法。
FutureTask
FutureTask继承于Runnable和Future,FutureTask定义的几个状态为
NEW, 尚未执行
COMPLETING, 正在执行
NORMAL, 正常执行完成得到结果
EXCEPTIONAL, 执行抛出异常
CANCELLED, 执行被取消
INTERRUPTING,执行正在被中断
INTERRUPTED, 已经中断。
其中关键的get方法
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public V get() throws InterruptedException, ExecutionException { int s = state; if (s <= COMPLETING) s = awaitDone( false , 0L); return report(s); } |
先获取当前状态,如果还未执行完成并且正常,则进入等待结果流程。在awaitDone不断循环获取当前状态,如果没有结果,则将自己通过CAS的方式添加到等待链表的头部,如果设置了超时,则LockSupport.parkNanos到指定的时间。
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static final class WaitNode { volatile Thread thread; volatile WaitNode next; WaitNode() { thread = Thread.currentThread(); } } 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 yet Thread.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); } else LockSupport.park( this ); } } |
FutureTask的run方法是执行任务并设置结果的位置,首先判断当前状态是否为NEW并且将当前线程设置为执行线程,然后调用Callable的call获取结果后设置结果修改FutureTask状态。
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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 interrupts int s = state; if (s >= INTERRUPTING) handlePossibleCancellationInterrupt(s); } } |
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原文链接:https://liuzhengyang.github.io/2017/03/27/threadpoolexecutor/