关于JAVA线程池-ThreadPoolExecutor

1. 源码翻译

/*
 *
 *
 *
 *
 *
 * Written by Doug Lea with assistance from members of JCP JSR-166
 * Expert Group and released to the public domain, as explained at
 * http://creativecommons.org/publicdomain/zero/1.0/
 */

package java.util.concurrent;

import java.security.AccessControlContext;
import java.security.AccessController;
import java.security.PrivilegedAction;
import java.util.concurrent.locks.AbstractQueuedSynchronizer;
import java.util.concurrent.locks.Condition;
import java.util.concurrent.locks.ReentrantLock;
import java.util.concurrent.atomic.AtomicInteger;
import java.util.*;

/**
 * An {@link ExecutorService} that executes each submitted task using
 * one of possibly several pooled threads, normally configured
 * using {@link Executors} factory methods. * 翻译：ExecutorService使用线程池中的线程执行每一个被提交的任务，通常使用Executors的工厂方法。
 *
 * <p>Thread pools address two different problems: they usually
 * provide improved performance when executing large numbers of
 * asynchronous tasks, due to reduced per-task invocation overhead,
 * and they provide a means of bounding and managing the resources,
 * including threads, consumed when executing a collection of tasks.
 * Each {@code ThreadPoolExecutor} also maintains some basic
 * statistics, such as the number of completed tasks. * 翻译：线程池的地址有两个问题：当执行大量的异步任务时，通常会提高性能，由于降低了单个任务的调用开销。        并且提供了管理资源的手段,包括线程在执行任务集合时的调用。每一个ThreadPoolExecutor也包含了        一些基础的静态变量，例如完成的线程数。
 *
 * <p>To be useful across a wide range of contexts, this class
 * provides many adjustable parameters and extensibility
 * hooks. However, programmers are urged to use the more convenient
 * {@link Executors} factory methods {@link
 * Executors#newCachedThreadPool} (unbounded thread pool, with
 * automatic thread reclamation), {@link Executors#newFixedThreadPool}
 * (fixed size thread pool) and {@link
 * Executors#newSingleThreadExecutor} (single background thread), that
 * preconfigure settings for the most common usage
 * scenarios. Otherwise, use the following guide when manually
 * configuring and tuning this class:
 * 翻译：为了广泛的上下文使用，本类提供了许多可调整的参数以及可扩展的挂钩（？）        然而，编程者大力推荐更加便利的Executors的工厂方法NewCachedThreadPool(        没有限制的线程池且有自动线程回收)，Executors#newTixedThreadPool(固定大小的线程池)        和Executors#newSingleThreadExecutor(单后台线程)，都是最常见的的使用场景的预配置。        其他的，当使用此类的时候，使用以下手册说明：
 * <dl>
 *
 * <dt>Core and maximum pool sizes</dt>
 *
 * <dd>A {@code ThreadPoolExecutor} will automatically adjust the
 * pool size (see {@link #getPoolSize})
 * according to the bounds set by
 * corePoolSize (see {@link #getCorePoolSize}) and
 * maximumPoolSize (see {@link #getMaximumPoolSize}).
 *
 * When a new task is submitted in method {@link #execute(Runnable)},
 * and fewer than corePoolSize threads are running, a new thread is
 * created to handle the request, even if other worker threads are
 * idle.  If there are more than corePoolSize but less than
 * maximumPoolSize threads running, a new thread will be created only
 * if the queue is full.  By setting corePoolSize and maximumPoolSize
 * the same, you create a fixed-size thread pool. By setting
 * maximumPoolSize to an essentially unbounded value such as {@code
 * Integer.MAX_VALUE}, you allow the pool to accommodate an arbitrary
 * number of concurrent tasks. Most typically, core and maximum pool
 * sizes are set only upon construction, but they may also be changed
 * dynamically using {@link #setCorePoolSize} and {@link
 * #setMaximumPoolSize}. </dd>
 * 翻译：当一个新的任务通过execute方法被提交，并且比核心线程数少的线程在运行，     会创建一个新的线程取处理这个请求，即是在其他线程是空闲的情况下。如果已经有大于     核心线程数但小于最大线程个数的线程在运行，只会在队列是满的情况下创建一个新的线程。（有点晕）     通过设置核心线程数和最大线程数相等，你就可以创建一个固定大小的线程池。     通过设置最大线程池为一个无限大值，例如Integer.MAX_VALUE,你就可以让线程池容纳不限数量的并发任务。     通常，核心线程和最大线程数通过构造器设置，但是他们也可以通过set方法被动态改变。
 * <dt>On-demand construction</dt>
 *
 * <dd>By default, even core threads are initially created and
 * started only when new tasks arrive, but this can be overridden
 * dynamically using method {@link #prestartCoreThread} or {@link
 * #prestartAllCoreThreads}.  You probably want to prestart threads if
 * you construct the pool with a non-empty queue. </dd>
 *  翻译：默认情况下，当新的任务到来时，既是核心线程被初始化并且启动，使用方法prestartCoreThread或者       prestartAllCoreThreads可以对其进行动态重写。如果使用非空队列构造线程池，可能需要预启动线程。
 * <dt>Creating new threads</dt>
 *
 * <dd>New threads are created using a {@link ThreadFactory}.  If not
 * otherwise specified, a {@link Executors#defaultThreadFactory} is
 * used, that creates threads to all be in the same {@link
 * ThreadGroup} and with the same {@code NORM_PRIORITY} priority and
 * non-daemon status. By supplying a different ThreadFactory, you can
 * alter the thread's name, thread group, priority, daemon status,
 * etc. If a {@code ThreadFactory} fails to create a thread when asked
 * by returning null from {@code newThread}, the executor will
 * continue, but might not be able to execute any tasks. Threads
 * should possess the "modifyThread" {@code RuntimePermission}. If
 * worker threads or other threads using the pool do not possess this
 * permission, service may be degraded: configuration changes may not
 * take effect in a timely manner, and a shutdown pool may remain in a
 * state in which termination is possible but not completed.</dd>
 * 翻译： 使用ThreadFactory创建新的线程，如果没有其他的规定说明，使用Exexutors.defaultThreadFactory,     该方式会创建相同线程组（ThreadGroup）和相同优先权的并且非守护线程的状态。通过提供不同的ThreadFactory,可以     改变线程的名称、分组、优先权以及守护状态。如果当ThreadFactory通过newThread返回null，创建线程失败。executor会继续，     但是可能不会再执行任何的任务。 线程应该拥有“modifyThread”权限，如果工作线程或使用池的其　　　他线程不具有此权限，则服务可能会降级：配置更改可能不会及时生效，关闭池可能仍处于可以终止但未完成的状态。

 * <dt>Keep-alive times</dt>
 *
 * <dd>If the pool currently has more than corePoolSize threads,
 * excess threads will be terminated if they have been idle for more
 * than the keepAliveTime (see {@link #getKeepAliveTime(TimeUnit)}).
 * This provides a means of reducing resource consumption when the
 * pool is not being actively used. If the pool becomes more active
 * later, new threads will be constructed. This parameter can also be
 * changed dynamically using method {@link #setKeepAliveTime(long,
 * TimeUnit)}.  Using a value of {@code Long.MAX_VALUE} {@link
 * TimeUnit#NANOSECONDS} effectively disables idle threads from ever
 * terminating prior to shut down. By default, the keep-alive policy
 * applies only when there are more than corePoolSize threads. But
 * method {@link #allowCoreThreadTimeOut(boolean)} can be used to
 * apply this time-out policy to core threads as well, so long as the
 * keepAliveTime value is non-zero. </dd>
 * 翻译：如果线程池当前有超过核心线程数的线程，超过的线程会被中止。如果他们空闲时间超过了keepAliveTime,       这提供了一种在池未被积极使用时减少资源消耗的方法。如果资源池变得活跃了，会创建新的线程。       这个参数也可以通过set方法动态改变他的值。使用值{@code Long.MAX_value}{@link TimeUnit#NANOSECONDS}　　　　有效地禁止空闲线程在关闭之前终止。默认情况下，仅当线程个数超过corePoolSize线程时才应用keep-alive策略。　　　　但是方法{@link#allowCoreThreadTimeOut（boolean）}也可以用于将此超时策略应用于核心线程，只要keepAliveTime值不为零。

 * <dt>Queuing</dt>
 *
 * <dd>Any {@link BlockingQueue} may be used to transfer and hold
 * submitted tasks.  The use of this queue interacts with pool sizing:
 * 翻译：任何BlockingQueue可能会被用于传输和存放被提交的任务。队列的这种用法会影响线程池的大小。

* <ul> * * <li> If fewer than corePoolSize threads are running, the Executor * always prefers adding a new thread * rather than queuing.</li> * * <li> If corePoolSize or more threads are running, the Executor * always prefers queuing a request rather than adding a new * thread.</li> * * <li> If a request cannot be queued, a new thread is created unless * this would exceed maximumPoolSize, in which case, the task will be * rejected.</li> * * </ul> * * There are three general strategies for queuing: * <ol> * * <li> <em> Direct handoffs.</em> A good default choice for a work * queue is a {@link SynchronousQueue} that hands off tasks to threads * without otherwise holding them. Here, an attempt to queue a task * will fail if no threads are immediately available to run it, so a * new thread will be constructed. This policy avoids lockups when * handling sets of requests that might have internal dependencies. * Direct handoffs generally require unbounded maximumPoolSizes to * avoid rejection of new submitted tasks. This in turn admits the * possibility of unbounded thread growth when commands continue to * arrive on average faster than they can be processed. </li> * * <li><em> Unbounded queues.</em> Using an unbounded queue (for * example a {@link LinkedBlockingQueue} without a predefined * capacity) will cause new tasks to wait in the queue when all * corePoolSize threads are busy. Thus, no more than corePoolSize * threads will ever be created. (And the value of the maximumPoolSize * therefore doesn't have any effect.) This may be appropriate when * each task is completely independent of others, so tasks cannot * affect each others execution; for example, in a web page server. * While this style of queuing can be useful in smoothing out * transient bursts of requests, it admits the possibility of * unbounded work queue growth when commands continue to arrive on * average faster than they can be processed. </li> * * <li><em>Bounded queues.</em> A bounded queue (for example, an * {@link ArrayBlockingQueue}) helps prevent resource exhaustion when * used with finite maximumPoolSizes, but can be more difficult to * tune and control. Queue sizes and maximum pool sizes may be traded * off for each other: Using large queues and small pools minimizes * CPU usage, OS resources, and context-switching overhead, but can * lead to artificially low throughput. If tasks frequently block (for * example if they are I/O bound), a system may be able to schedule * time for more threads than you otherwise allow. Use of small queues * generally requires larger pool sizes, which keeps CPUs busier but * may encounter unacceptable scheduling overhead, which also * decreases throughput. </li> * * </ol> * * </dd> * * <dt>Rejected tasks</dt> * * <dd>New tasks submitted in method {@link #execute(Runnable)} will be * <em>rejected</em> when the Executor has been shut down, and also when * the Executor uses finite bounds for both maximum threads and work queue * capacity, and is saturated. In either case, the {@code execute} method * invokes the {@link * RejectedExecutionHandler#rejectedExecution(Runnable, ThreadPoolExecutor)} * method of its {@link RejectedExecutionHandler}. Four predefined handler * policies are provided: * * <ol> * * <li> In the default {@link ThreadPoolExecutor.AbortPolicy}, the * handler throws a runtime {@link RejectedExecutionException} upon * rejection. </li> * * <li> In {@link ThreadPoolExecutor.CallerRunsPolicy}, the thread * that invokes {@code execute} itself runs the task. This provides a * simple feedback control mechanism that will slow down the rate that * new tasks are submitted. </li> * * <li> In {@link ThreadPoolExecutor.DiscardPolicy}, a task that * cannot be executed is simply dropped. </li> * * <li>In {@link ThreadPoolExecutor.DiscardOldestPolicy}, if the * executor is not shut down, the task at the head of the work queue * is dropped, and then execution is retried (which can fail again, * causing this to be repeated.) </li> * * </ol> * * It is possible to define and use other kinds of {@link * RejectedExecutionHandler} classes. Doing so requires some care * especially when policies are designed to work only under particular * capacity or queuing policies. </dd> * * <dt>Hook methods</dt> * * <dd>This class provides {@code protected} overridable * {@link #beforeExecute(Thread, Runnable)} and * {@link #afterExecute(Runnable, Throwable)} methods that are called * before and after execution of each task. These can be used to * manipulate the execution environment; for example, reinitializing * ThreadLocals, gathering statistics, or adding log entries. * Additionally, method {@link #terminated} can be overridden to perform * any special processing that needs to be done once the Executor has * fully terminated. * * <p>If hook or callback methods throw exceptions, internal worker * threads may in turn fail and abruptly terminate.</dd> * * <dt>Queue maintenance</dt> * * <dd>Method {@link #getQueue()} allows access to the work queue * for purposes of monitoring and debugging. Use of this method for * any other purpose is strongly discouraged. Two supplied methods, * {@link #remove(Runnable)} and {@link #purge} are available to * assist in storage reclamation when large numbers of queued tasks * become cancelled.</dd> * * <dt>Finalization</dt> * * <dd>A pool that is no longer referenced in a program <em>AND</em> * has no remaining threads will be {@code shutdown} automatically. If * you would like to ensure that unreferenced pools are reclaimed even * if users forget to call {@link #shutdown}, then you must arrange * that unused threads eventually die, by setting appropriate * keep-alive times, using a lower bound of zero core threads and/or * setting {@link #allowCoreThreadTimeOut(boolean)}. </dd> * * </dl> * * <p><b>Extension example</b>. Most extensions of this class * override one or more of the protected hook methods. For example, * here is a subclass that adds a simple pause/resume feature: * * <pre> {@code * class PausableThreadPoolExecutor extends ThreadPoolExecutor { * private boolean isPaused; * private ReentrantLock pauseLock = new ReentrantLock(); * private Condition unpaused = pauseLock.newCondition(); * * public PausableThreadPoolExecutor(...) { super(...); } * * protected void beforeExecute(Thread t, Runnable r) { * super.beforeExecute(t, r); * pauseLock.lock(); * try { * while (isPaused) unpaused.await(); * } catch (InterruptedException ie) { * t.interrupt(); * } finally { * pauseLock.unlock(); * } * } * * public void pause() { * pauseLock.lock(); * try { * isPaused = true; * } finally { * pauseLock.unlock(); * } * } * * public void resume() { * pauseLock.lock(); * try { * isPaused = false; * unpaused.signalAll(); * } finally { * pauseLock.unlock(); * } * } * }}</pre> * * @since 1.5 * @author Doug Lea */ public class ThreadPoolExecutor extends AbstractExecutorService { /** * The main pool control state, ctl, is an atomic integer packing * two conceptual fields * workerCount, indicating the effective number of threads * runState, indicating whether running, shutting down etc * * In order to pack them into one int, we limit workerCount to * (2^29)-1 (about 500 million) threads rather than (2^31)-1 (2 * billion) otherwise representable. If this is ever an issue in * the future, the variable can be changed to be an AtomicLong, * and the shift/mask constants below adjusted. But until the need * arises, this code is a bit faster and simpler using an int. * * The workerCount is the number of workers that have been * permitted to start and not permitted to stop. The value may be * transiently different from the actual number of live threads, * for example when a ThreadFactory fails to create a thread when * asked, and when exiting threads are still performing * bookkeeping before terminating. The user-visible pool size is * reported as the current size of the workers set. * * The runState provides the main lifecycle control, taking on values: * * RUNNING: Accept new tasks and process queued tasks * SHUTDOWN: Don't accept new tasks, but process queued tasks * STOP: Don't accept new tasks, don't process queued tasks, * and interrupt in-progress tasks * TIDYING: All tasks have terminated, workerCount is zero, * the thread transitioning to state TIDYING * will run the terminated() hook method * TERMINATED: terminated() has completed * * The numerical order among these values matters, to allow * ordered comparisons. The runState monotonically increases over * time, but need not hit each state. The transitions are: * * RUNNING -> SHUTDOWN * On invocation of shutdown(), perhaps implicitly in finalize() * (RUNNING or SHUTDOWN) -> STOP * On invocation of shutdownNow() * SHUTDOWN -> TIDYING * When both queue and pool are empty * STOP -> TIDYING * When pool is empty * TIDYING -> TERMINATED * When the terminated() hook method has completed * * Threads waiting in awaitTermination() will return when the * state reaches TERMINATED. * * Detecting the transition from SHUTDOWN to TIDYING is less * straightforward than you'd like because the queue may become * empty after non-empty and vice versa during SHUTDOWN state, but * we can only terminate if, after seeing that it is empty, we see * that workerCount is 0 (which sometimes entails a recheck -- see * below). */ private final AtomicInteger ctl = new AtomicInteger(ctlOf(RUNNING, 0)); private static final int COUNT_BITS = Integer.SIZE - 3; private static final int CAPACITY = (1 << COUNT_BITS) - 1; // 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; // Packing and unpacking ctl private static int runStateOf(int c) { return c & ~CAPACITY; } private static int workerCountOf(int c) { return c & CAPACITY; } private static int ctlOf(int rs, int wc) { return rs | wc; } /* * Bit field accessors that don't require unpacking ctl. * These depend on the bit layout and on workerCount being never negative. */ private static boolean runStateLessThan(int c, int s) { return c < s; } private static boolean runStateAtLeast(int c, int s) { return c >= s; } private static boolean isRunning(int c) { return c < SHUTDOWN; } /** * Attempts to CAS-increment the workerCount field of ctl. */ private boolean compareAndIncrementWorkerCount(int expect) { return ctl.compareAndSet(expect, expect + 1); } /** * Attempts to CAS-decrement the workerCount field of ctl. */ private boolean compareAndDecrementWorkerCount(int expect) { return ctl.compareAndSet(expect, expect - 1); } /** * Decrements the workerCount field of ctl. This is called only on * abrupt termination of a thread (see processWorkerExit). Other * decrements are performed within getTask. */ private void decrementWorkerCount() { do {} while (! compareAndDecrementWorkerCount(ctl.get())); } /** * The queue used for holding tasks and handing off to worker * threads. We do not require that workQueue.poll() returning * null necessarily means that workQueue.isEmpty(), so rely * solely on isEmpty to see if the queue is empty (which we must * do for example when deciding whether to transition from * SHUTDOWN to TIDYING). This accommodates special-purpose * queues such as DelayQueues for which poll() is allowed to * return null even if it may later return non-null when delays * expire. */ private final BlockingQueue<Runnable> workQueue; /** * Lock held on access to workers set and related bookkeeping. * While we could use a concurrent set of some sort, it turns out * to be generally preferable to use a lock. Among the reasons is * that this serializes interruptIdleWorkers, which avoids * unnecessary interrupt storms, especially during shutdown. * Otherwise exiting threads would concurrently interrupt those * that have not yet interrupted. It also simplifies some of the * associated statistics bookkeeping of largestPoolSize etc. We * also hold mainLock on shutdown and shutdownNow, for the sake of * ensuring workers set is stable while separately checking * permission to interrupt and actually interrupting. */ private final ReentrantLock mainLock = new ReentrantLock(); /** * Set containing all worker threads in pool. Accessed only when * holding mainLock. */ private final HashSet<Worker> workers = new HashSet<Worker>(); /** * Wait condition to support awaitTermination */ private final Condition termination = mainLock.newCondition(); /** * Tracks largest attained pool size. Accessed only under * mainLock. */ private int largestPoolSize; /** * Counter for completed tasks. Updated only on termination of * worker threads. Accessed only under mainLock. */ private long completedTaskCount; /* * All user control parameters are declared as volatiles so that * ongoing actions are based on freshest values, but without need * for locking, since no internal invariants depend on them * changing synchronously with respect to other actions. */ /** * Factory for new threads. All threads are created using this * factory (via method addWorker). All callers must be prepared * for addWorker to fail, which may reflect a system or user's * policy limiting the number of threads. Even though it is not * treated as an error, failure to create threads may result in * new tasks being rejected or existing ones remaining stuck in * the queue. * * We go further and preserve pool invariants even in the face of * errors such as OutOfMemoryError, that might be thrown while * trying to create threads. Such errors are rather common due to * the need to allocate a native stack in Thread.start, and users * will want to perform clean pool shutdown to clean up. There * will likely be enough memory available for the cleanup code to * complete without encountering yet another OutOfMemoryError. */ private volatile ThreadFactory threadFactory; /** * Handler called when saturated or shutdown in execute. */ private volatile RejectedExecutionHandler handler; /** * 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; /** * 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. */ private volatile int corePoolSize; /** * Maximum pool size. Note that the actual maximum is internally * bounded by CAPACITY. */ private volatile int maximumPoolSize; /** * The default rejected execution handler */ private static final RejectedExecutionHandler defaultHandler = new AbortPolicy(); /** * Permission required for callers of shutdown and shutdownNow. * We additionally require (see checkShutdownAccess) that callers * have permission to actually interrupt threads in the worker set * (as governed by Thread.interrupt, which relies on * ThreadGroup.checkAccess, which in turn relies on * SecurityManager.checkAccess). Shutdowns are attempted only if * these checks pass. * * All actual invocations of Thread.interrupt (see * interruptIdleWorkers and interruptWorkers) ignore * SecurityExceptions, meaning that the attempted interrupts * silently fail. In the case of shutdown, they should not fail * unless the SecurityManager has inconsistent policies, sometimes * allowing access to a thread and sometimes not. In such cases, * failure to actually interrupt threads may disable or delay full * termination. Other uses of interruptIdleWorkers are advisory, * and failure to actually interrupt will merely delay response to * configuration changes so is not handled exceptionally. */ private static final RuntimePermission shutdownPerm = new RuntimePermission("modifyThread"); /* The context to be used when executing the finalizer, or null. */ private final AccessControlContext acc; /** * Class Worker mainly maintains interrupt control state for * threads running tasks, along with other minor bookkeeping. * This class opportunistically extends AbstractQueuedSynchronizer * to simplify acquiring and releasing a lock surrounding each * task execution. This protects against interrupts that are * intended to wake up a worker thread waiting for a task from * instead interrupting a task being run. We implement a simple * non-reentrant mutual exclusion lock rather than use * ReentrantLock because we do not want worker tasks to be able to * reacquire the lock when they invoke pool control methods like * setCorePoolSize. Additionally, to suppress interrupts until * the thread actually starts running tasks, we initialize lock * state to a negative value, and clear it upon start (in * runWorker). */ 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) { } } } } /* * Methods for setting control state */ /** * Transitions runState to given target, or leaves it alone if * already at least the given target. * * @param targetState the desired state, either SHUTDOWN or STOP * (but not TIDYING or TERMINATED -- use tryTerminate for that) */ private void advanceRunState(int targetState) { for (;;) { int c = ctl.get(); if (runStateAtLeast(c, targetState) || ctl.compareAndSet(c, ctlOf(targetState, workerCountOf(c)))) break; } } /** * Transitions to TERMINATED state if either (SHUTDOWN and pool * and queue empty) or (STOP and pool empty). If otherwise * eligible to terminate but workerCount is nonzero, interrupts an * idle worker to ensure that shutdown signals propagate. This * method must be called following any action that might make * termination possible -- reducing worker count or removing tasks * from the queue during shutdown. The method is non-private to * allow access from ScheduledThreadPoolExecutor. */ final void tryTerminate() { for (;;) { int c = ctl.get(); if (isRunning(c) || runStateAtLeast(c, TIDYING) || (runStateOf(c) == SHUTDOWN && ! workQueue.isEmpty())) return; if (workerCountOf(c) != 0) { // Eligible to terminate  interruptIdleWorkers(ONLY_ONE); return; } final ReentrantLock mainLock = this.mainLock; mainLock.lock(); try { if (ctl.compareAndSet(c, ctlOf(TIDYING, 0))) { try { terminated(); } finally { ctl.set(ctlOf(TERMINATED, 0)); termination.signalAll(); } return; } } finally { mainLock.unlock(); } // else retry on failed CAS  } } /* * Methods for controlling interrupts to worker threads. */ /** * If there is a security manager, makes sure caller has * permission to shut down threads in general (see shutdownPerm). * If this passes, additionally makes sure the caller is allowed * to interrupt each worker thread. This might not be true even if * first check passed, if the SecurityManager treats some threads * specially. */ private void checkShutdownAccess() { SecurityManager security = System.getSecurityManager(); if (security != null) { security.checkPermission(shutdownPerm); final ReentrantLock mainLock = this.mainLock; mainLock.lock(); try { for (Worker w : workers) security.checkAccess(w.thread); } finally { mainLock.unlock(); } } } /** * Interrupts all threads, even if active. Ignores SecurityExceptions * (in which case some threads may remain uninterrupted). */ private void interruptWorkers() { final ReentrantLock mainLock = this.mainLock; mainLock.lock(); try { for (Worker w : workers) w.interruptIfStarted(); } finally { mainLock.unlock(); } } /** * Interrupts threads that might be waiting for tasks (as * indicated by not being locked) so they can check for * termination or configuration changes. Ignores * SecurityExceptions (in which case some threads may remain * uninterrupted). * * @param onlyOne If true, interrupt at most one worker. This is * called only from tryTerminate when termination is otherwise * enabled but there are still other workers. In this case, at * most one waiting worker is interrupted to propagate shutdown * signals in case all threads are currently waiting. * Interrupting any arbitrary thread ensures that newly arriving * workers since shutdown began will also eventually exit. * To guarantee eventual termination, it suffices to always * interrupt only one idle worker, but shutdown() interrupts all * idle workers so that redundant workers exit promptly, not * waiting for a straggler task to finish. */ private void interruptIdleWorkers(boolean onlyOne) { final ReentrantLock mainLock = this.mainLock; mainLock.lock(); try { for (Worker w : workers) { Thread t = w.thread; if (!t.isInterrupted() && w.tryLock()) { try { t.interrupt(); } catch (SecurityException ignore) { } finally { w.unlock(); } } if (onlyOne) break; } } finally { mainLock.unlock(); } } /** * Common form of interruptIdleWorkers, to avoid having to * remember what the boolean argument means. */ private void interruptIdleWorkers() { interruptIdleWorkers(false); } private static final boolean ONLY_ONE = true; /* * Misc utilities, most of which are also exported to * ScheduledThreadPoolExecutor */ /** * Invokes the rejected execution handler for the given command. * Package-protected for use by ScheduledThreadPoolExecutor. */ final void reject(Runnable command) { handler.rejectedExecution(command, this); } /** * Performs any further cleanup following run state transition on * invocation of shutdown. A no-op here, but used by * ScheduledThreadPoolExecutor to cancel delayed tasks. */ void onShutdown() { } /** * State check needed by ScheduledThreadPoolExecutor to * enable running tasks during shutdown. * * @param shutdownOK true if should return true if SHUTDOWN */ final boolean isRunningOrShutdown(boolean shutdownOK) { int rs = runStateOf(ctl.get()); return rs == RUNNING || (rs == SHUTDOWN && shutdownOK); } /** * Drains the task queue into a new list, normally using * drainTo. But if the queue is a DelayQueue or any other kind of * queue for which poll or drainTo may fail to remove some * elements, it deletes them one by one. */ private List<Runnable> drainQueue() { BlockingQueue<Runnable> q = workQueue; ArrayList<Runnable> taskList = new ArrayList<Runnable>(); q.drainTo(taskList); if (!q.isEmpty()) { for (Runnable r : q.toArray(new Runnable[0])) { if (q.remove(r)) taskList.add(r); } } return taskList; } /* * Methods for creating, running and cleaning up after workers */ /** * Checks if a new worker can be added with respect to current * pool state and the given bound (either core or maximum). If so, * the worker count is adjusted accordingly, and, if possible, a * new worker is created and started, running firstTask as its * first task. This method returns false if the pool is stopped or * eligible to shut down. It also returns false if the thread * factory fails to create a thread when asked. If the thread * creation fails, either due to the thread factory returning * null, or due to an exception (typically OutOfMemoryError in * Thread.start()), we roll back cleanly. * * @param firstTask the task the new thread should run first (or * null if none). Workers are created with an initial first task * (in method execute()) to bypass queuing when there are fewer * than corePoolSize threads (in which case we always start one), * or when the queue is full (in which case we must bypass queue). * Initially idle threads are usually created via * prestartCoreThread or to replace other dying workers. * * @param core if true use corePoolSize as bound, else * maximumPoolSize. (A boolean indicator is used here rather than a * value to ensure reads of fresh values after checking other pool * state). * @return true if successful */ 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) { t.start(); workerStarted = true; } } } finally { if (! workerStarted) addWorkerFailed(w); } return workerStarted; } /** * Rolls back the worker thread creation. * - removes worker from workers, if present * - decrements worker count * - rechecks for termination, in case the existence of this * worker was holding up termination */ private void addWorkerFailed(Worker w) { final ReentrantLock mainLock = this.mainLock; mainLock.lock(); try { if (w != null) workers.remove(w); decrementWorkerCount(); tryTerminate(); } finally { mainLock.unlock(); } } /** * Performs cleanup and bookkeeping for a dying worker. Called * only from worker threads. Unless completedAbruptly is set, * assumes that workerCount has already been adjusted to account * for exit. This method removes thread from worker set, and * possibly terminates the pool or replaces the worker if either * it exited due to user task exception or if fewer than * corePoolSize workers are running or queue is non-empty but * there are no workers. * * @param w the worker * @param completedAbruptly if the worker died due to user exception */ private void processWorkerExit(Worker w, boolean completedAbruptly) { if (completedAbruptly) // If abrupt, then workerCount wasn't adjusted  decrementWorkerCount(); final ReentrantLock mainLock = this.mainLock; mainLock.lock(); try { completedTaskCount += w.completedTasks; workers.remove(w); } finally { mainLock.unlock(); } tryTerminate(); int c = ctl.get(); if (runStateLessThan(c, STOP)) { if (!completedAbruptly) { int min = allowCoreThreadTimeOut ? 0 : corePoolSize; if (min == 0 && ! workQueue.isEmpty()) min = 1; if (workerCountOf(c) >= min) return; // replacement not needed  } addWorker(null, false); } } /** * 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, and if the queue is * non-empty, this worker is not the last thread in the pool. * * @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? 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; } int wc = workerCountOf(c); // Are workers subject to culling? boolean timed = allowCoreThreadTimeOut || wc > corePoolSize; if ((wc > maximumPoolSize || (timed && timedOut)) && (wc > 1 || workQueue.isEmpty())) { if (compareAndDecrementWorkerCount(c)) return null; continue; } try { Runnable r = timed ? workQueue.poll(keepAliveTime, TimeUnit.NANOSECONDS) : workQueue.take(); if (r != null) return r; timedOut = true; } catch (InterruptedException retry) { timedOut = false; } } } /** * Main worker run loop. Repeatedly gets tasks from queue and * executes them, while coping with a number of issues: * * 1. We may start out with an initial task, in which case we * don't need to get the first one. Otherwise, as long as pool is * running, we get tasks from getTask. If it returns null then the * worker exits due to changed pool state or configuration * parameters. Other exits result from exception throws in * external code, in which case completedAbruptly holds, which * usually leads processWorkerExit to replace this thread. * * 2. Before running any task, the lock is acquired to prevent * other pool interrupts while the task is executing, and then we * ensure that unless pool is stopping, this thread does not have * its interrupt set. * * 3. Each task run is preceded by a call to beforeExecute, which * might throw an exception, in which case we cause thread to die * (breaking loop with completedAbruptly true) without processing * the task. * * 4. Assuming beforeExecute completes normally, we run the task, * gathering any of its thrown exceptions to send to afterExecute. * We separately handle RuntimeException, Error (both of which the * specs guarantee that we trap) and arbitrary Throwables. * Because we cannot rethrow Throwables within Runnable.run, we * wrap them within Errors on the way out (to the thread's * UncaughtExceptionHandler). Any thrown exception also * conservatively causes thread to die. * * 5. After task.run completes, we call afterExecute, which may * also throw an exception, which will also cause thread to * die. According to JLS Sec 14.20, this exception is the one that * will be in effect even if task.run throws. * * The net effect of the exception mechanics is that afterExecute * and the thread's UncaughtExceptionHandler have as accurate * information as we can provide about any problems encountered by * user code. * * @param w the worker */ 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); } } // Public constructors and methods /** * Creates a new {@code ThreadPoolExecutor} with the given initial * parameters and default thread factory and rejected execution handler. * It may be more convenient to use one of the {@link Executors} factory * methods instead of this general purpose constructor. * * @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. * @throws IllegalArgumentException if one of the following holds:<br> * {@code corePoolSize < 0}<br> * {@code keepAliveTime < 0}<br> * {@code maximumPoolSize <= 0}<br> * {@code maximumPoolSize < corePoolSize} * @throws NullPointerException if {@code workQueue} is null */ public ThreadPoolExecutor(int corePoolSize, int maximumPoolSize, long keepAliveTime, TimeUnit unit, BlockingQueue<Runnable> workQueue) { this(corePoolSize, maximumPoolSize, keepAliveTime, unit, workQueue, Executors.defaultThreadFactory(), defaultHandler); } /** * Creates a new {@code ThreadPoolExecutor} with the given initial * parameters and default rejected execution handler. * * @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 * @throws IllegalArgumentException if one of the following holds:<br> * {@code corePoolSize < 0}<br> * {@code keepAliveTime < 0}<br> * {@code maximumPoolSize <= 0}<br> * {@code maximumPoolSize < corePoolSize} * @throws NullPointerException if {@code workQueue} * or {@code threadFactory} is null */ public ThreadPoolExecutor(int corePoolSize, int maximumPoolSize, long keepAliveTime, TimeUnit unit, BlockingQueue<Runnable> workQueue, ThreadFactory threadFactory) { this(corePoolSize, maximumPoolSize, keepAliveTime, unit, workQueue, threadFactory, defaultHandler); } /** * Creates a new {@code ThreadPoolExecutor} with the given initial * parameters and default thread factory. * * @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 handler the handler to use when execution is blocked * because the thread bounds and queue capacities are reached * @throws IllegalArgumentException if one of the following holds:<br> * {@code corePoolSize < 0}<br> * {@code keepAliveTime < 0}<br> * {@code maximumPoolSize <= 0}<br> * {@code maximumPoolSize < corePoolSize} * @throws NullPointerException if {@code workQueue} * or {@code handler} is null */ public ThreadPoolExecutor(int corePoolSize, int maximumPoolSize, long keepAliveTime, TimeUnit unit, BlockingQueue<Runnable> workQueue, RejectedExecutionHandler handler) { this(corePoolSize, maximumPoolSize, keepAliveTime, unit, workQueue, Executors.defaultThreadFactory(), handler); } /** * Creates a new {@code ThreadPoolExecutor} with the given initial * parameters. * * @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 * @throws IllegalArgumentException if one of the following holds:<br> * {@code corePoolSize < 0}<br> * {@code keepAliveTime < 0}<br> * {@code maximumPoolSize <= 0}<br> * {@code maximumPoolSize < corePoolSize} * @throws NullPointerException if {@code workQueue} * or {@code threadFactory} or {@code handler} is null */ 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.acc = System.getSecurityManager() == null ? null : AccessController.getContext(); this.corePoolSize = corePoolSize; this.maximumPoolSize = maximumPoolSize; this.workQueue = workQueue; this.keepAliveTime = unit.toNanos(keepAliveTime); this.threadFactory = threadFactory; this.handler = handler; } /** * 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); } /** * Initiates an orderly shutdown in which previously submitted * tasks are executed, but no new tasks will be accepted. * Invocation has no additional effect if already shut down. * * <p>This method does not wait for previously submitted tasks to * complete execution. Use {@link #awaitTermination awaitTermination} * to do that. * * @throws SecurityException {@inheritDoc} */ public void shutdown() { final ReentrantLock mainLock = this.mainLock; mainLock.lock(); try { checkShutdownAccess(); advanceRunState(SHUTDOWN); interruptIdleWorkers(); onShutdown(); // hook for ScheduledThreadPoolExecutor } finally { mainLock.unlock(); } tryTerminate(); } /** * Attempts to stop all actively executing tasks, halts the * processing of waiting tasks, and returns a list of the tasks * that were awaiting execution. These tasks are drained (removed) * from the task queue upon return from this method. * * <p>This method does not wait for actively executing tasks to * terminate. Use {@link #awaitTermination awaitTermination} to * do that. * * <p>There are no guarantees beyond best-effort attempts to stop * processing actively executing tasks. This implementation * cancels tasks via {@link Thread#interrupt}, so any task that * fails to respond to interrupts may never terminate. * * @throws SecurityException {@inheritDoc} */ public List<Runnable> shutdownNow() { List<Runnable> tasks; final ReentrantLock mainLock = this.mainLock; mainLock.lock(); try { checkShutdownAccess(); advanceRunState(STOP); interruptWorkers(); tasks = drainQueue(); } finally { mainLock.unlock(); } tryTerminate(); return tasks; } public boolean isShutdown() { return ! isRunning(ctl.get()); } /** * Returns true if this executor is in the process of terminating * after {@link #shutdown} or {@link #shutdownNow} but has not * completely terminated. This method may be useful for * debugging. A return of {@code true} reported a sufficient * period after shutdown may indicate that submitted tasks have * ignored or suppressed interruption, causing this executor not * to properly terminate. * * @return {@code true} if terminating but not yet terminated */ public boolean isTerminating() { int c = ctl.get(); return ! isRunning(c) && runStateLessThan(c, TERMINATED); } public boolean isTerminated() { return runStateAtLeast(ctl.get(), TERMINATED); } public boolean awaitTermination(long timeout, TimeUnit unit) throws InterruptedException { long nanos = unit.toNanos(timeout); final ReentrantLock mainLock = this.mainLock; mainLock.lock(); try { for (;;) { if (runStateAtLeast(ctl.get(), TERMINATED)) return true; if (nanos <= 0) return false; nanos = termination.awaitNanos(nanos); } } finally { mainLock.unlock(); } } /** * Invokes {@code shutdown} when this executor is no longer * referenced and it has no threads. */ protected void finalize() { SecurityManager sm = System.getSecurityManager(); if (sm == null || acc == null) { shutdown(); } else { PrivilegedAction<Void> pa = () -> { shutdown(); return null; }; AccessController.doPrivileged(pa, acc); } } /** * Sets the thread factory used to create new threads. * * @param threadFactory the new thread factory * @throws NullPointerException if threadFactory is null * @see #getThreadFactory */ public void setThreadFactory(ThreadFactory threadFactory) { if (threadFactory == null) throw new NullPointerException(); this.threadFactory = threadFactory; } /** * Returns the thread factory used to create new threads. * * @return the current thread factory * @see #setThreadFactory(ThreadFactory) */ public ThreadFactory getThreadFactory() { return threadFactory; } /** * Sets a new handler for unexecutable tasks. * * @param handler the new handler * @throws NullPointerException if handler is null * @see #getRejectedExecutionHandler */ public void setRejectedExecutionHandler(RejectedExecutionHandler handler) { if (handler == null) throw new NullPointerException(); this.handler = handler; } /** * Returns the current handler for unexecutable tasks. * * @return the current handler * @see #setRejectedExecutionHandler(RejectedExecutionHandler) */ public RejectedExecutionHandler getRejectedExecutionHandler() { return handler; } /** * Sets the core number of threads. This overrides any value set * in the constructor. If the new value is smaller than the * current value, excess existing threads will be terminated when * they next become idle. If larger, new threads will, if needed, * be started to execute any queued tasks. * * @param corePoolSize the new core size * @throws IllegalArgumentException if {@code corePoolSize < 0} * @see #getCorePoolSize */ public void setCorePoolSize(int corePoolSize) { if (corePoolSize < 0) throw new IllegalArgumentException(); int delta = corePoolSize - this.corePoolSize; this.corePoolSize = corePoolSize; if (workerCountOf(ctl.get()) > corePoolSize) interruptIdleWorkers(); else if (delta > 0) { // We don't really know how many new threads are "needed". // As a heuristic, prestart enough new workers (up to new // core size) to handle the current number of tasks in // queue, but stop if queue becomes empty while doing so. int k = Math.min(delta, workQueue.size()); while (k-- > 0 && addWorker(null, true)) { if (workQueue.isEmpty()) break; } } } /** * Returns the core number of threads. * * @return the core number of threads * @see #setCorePoolSize */ public int getCorePoolSize() { return corePoolSize; } /** * Starts a core thread, causing it to idly wait for work. This * overrides the default policy of starting core threads only when * new tasks are executed. This method will return {@code false} * if all core threads have already been started. * * @return {@code true} if a thread was started */ public boolean prestartCoreThread() { return workerCountOf(ctl.get()) < corePoolSize && addWorker(null, true); } /** * Same as prestartCoreThread except arranges that at least one * thread is started even if corePoolSize is 0. */ void ensurePrestart() { int wc = workerCountOf(ctl.get()); if (wc < corePoolSize) addWorker(null, true); else if (wc == 0) addWorker(null, false); } /** * Starts all core threads, causing them to idly wait for work. This * overrides the default policy of starting core threads only when * new tasks are executed. * * @return the number of threads started */ public int prestartAllCoreThreads() { int n = 0; while (addWorker(null, true)) ++n; return n; } /** * Returns true if this pool allows core threads to time out and * terminate if no tasks arrive within the keepAlive time, being * replaced if needed when new tasks arrive. When true, the same * keep-alive policy applying to non-core threads applies also to * core threads. When false (the default), core threads are never * terminated due to lack of incoming tasks. * * @return {@code true} if core threads are allowed to time out, * else {@code false} * * @since 1.6 */ public boolean allowsCoreThreadTimeOut() { return allowCoreThreadTimeOut; } /** * Sets the policy governing whether core threads may time out and * terminate if no tasks arrive within the keep-alive time, being * replaced if needed when new tasks arrive. When false, core * threads are never terminated due to lack of incoming * tasks. When true, the same keep-alive policy applying to * non-core threads applies also to core threads. To avoid * continual thread replacement, the keep-alive time must be * greater than zero when setting {@code true}. This method * should in general be called before the pool is actively used. * * @param value {@code true} if should time out, else {@code false} * @throws IllegalArgumentException if value is {@code true} * and the current keep-alive time is not greater than zero * * @since 1.6 */ public void allowCoreThreadTimeOut(boolean value) { if (value && keepAliveTime <= 0) throw new IllegalArgumentException("Core threads must have nonzero keep alive times"); if (value != allowCoreThreadTimeOut) { allowCoreThreadTimeOut = value; if (value) interruptIdleWorkers(); } } /** * Sets the maximum allowed number of threads. This overrides any * value set in the constructor. If the new value is smaller than * the current value, excess existing threads will be * terminated when they next become idle. * * @param maximumPoolSize the new maximum * @throws IllegalArgumentException if the new maximum is * less than or equal to zero, or * less than the {@linkplain #getCorePoolSize core pool size} * @see #getMaximumPoolSize */ public void setMaximumPoolSize(int maximumPoolSize) { if (maximumPoolSize <= 0 || maximumPoolSize < corePoolSize) throw new IllegalArgumentException(); this.maximumPoolSize = maximumPoolSize; if (workerCountOf(ctl.get()) > maximumPoolSize) interruptIdleWorkers(); } /** * Returns the maximum allowed number of threads. * * @return the maximum allowed number of threads * @see #setMaximumPoolSize */ public int getMaximumPoolSize() { return maximumPoolSize; } /** * Sets the time limit for which threads may remain idle before * being terminated. If there are more than the core number of * threads currently in the pool, after waiting this amount of * time without processing a task, excess threads will be * terminated. This overrides any value set in the constructor. * * @param time the time to wait. A time value of zero will cause * excess threads to terminate immediately after executing tasks. * @param unit the time unit of the {@code time} argument * @throws IllegalArgumentException if {@code time} less than zero or * if {@code time} is zero and {@code allowsCoreThreadTimeOut} * @see #getKeepAliveTime(TimeUnit) */ public void setKeepAliveTime(long time, TimeUnit unit) { if (time < 0) throw new IllegalArgumentException(); if (time == 0 && allowsCoreThreadTimeOut()) throw new IllegalArgumentException("Core threads must have nonzero keep alive times"); long keepAliveTime = unit.toNanos(time); long delta = keepAliveTime - this.keepAliveTime; this.keepAliveTime = keepAliveTime; if (delta < 0) interruptIdleWorkers(); } /** * Returns the thread keep-alive time, which is the amount of time * that threads in excess of the core pool size may remain * idle before being terminated. * * @param unit the desired time unit of the result * @return the time limit * @see #setKeepAliveTime(long, TimeUnit) */ public long getKeepAliveTime(TimeUnit unit) { return unit.convert(keepAliveTime, TimeUnit.NANOSECONDS); } /* User-level queue utilities */ /** * Returns the task queue used by this executor. Access to the * task queue is intended primarily for debugging and monitoring. * This queue may be in active use. Retrieving the task queue * does not prevent queued tasks from executing. * * @return the task queue */ public BlockingQueue<Runnable> getQueue() { return workQueue; } /** * Removes this task from the executor's internal queue if it is * present, thus causing it not to be run if it has not already * started. * * <p>This method may be useful as one part of a cancellation * scheme. It may fail to remove tasks that have been converted * into other forms before being placed on the internal queue. For * example, a task entered using {@code submit} might be * converted into a form that maintains {@code Future} status. * However, in such cases, method {@link #purge} may be used to * remove those Futures that have been cancelled. * * @param task the task to remove * @return {@code true} if the task was removed */ public boolean remove(Runnable task) { boolean removed = workQueue.remove(task); tryTerminate(); // In case SHUTDOWN and now empty return removed; } /** * Tries to remove from the work queue all {@link Future} * tasks that have been cancelled. This method can be useful as a * storage reclamation operation, that has no other impact on * functionality. Cancelled tasks are never executed, but may * accumulate in work queues until worker threads can actively * remove them. Invoking this method instead tries to remove them now. * However, this method may fail to remove tasks in * the presence of interference by other threads. */ public void purge() { final BlockingQueue<Runnable> q = workQueue; try { Iterator<Runnable> it = q.iterator(); while (it.hasNext()) { Runnable r = it.next(); if (r instanceof Future<?> && ((Future<?>)r).isCancelled()) it.remove(); } } catch (ConcurrentModificationException fallThrough) { // Take slow path if we encounter interference during traversal. // Make copy for traversal and call remove for cancelled entries. // The slow path is more likely to be O(N*N). for (Object r : q.toArray()) if (r instanceof Future<?> && ((Future<?>)r).isCancelled()) q.remove(r); } tryTerminate(); // In case SHUTDOWN and now empty  } /* Statistics */ /** * Returns the current number of threads in the pool. * * @return the number of threads */ public int getPoolSize() { final ReentrantLock mainLock = this.mainLock; mainLock.lock(); try { // Remove rare and surprising possibility of // isTerminated() && getPoolSize() > 0 return runStateAtLeast(ctl.get(), TIDYING) ? 0 : workers.size(); } finally { mainLock.unlock(); } } /** * Returns the approximate number of threads that are actively * executing tasks. * * @return the number of threads */ public int getActiveCount() { final ReentrantLock mainLock = this.mainLock; mainLock.lock(); try { int n = 0; for (Worker w : workers) if (w.isLocked()) ++n; return n; } finally { mainLock.unlock(); } } /** * Returns the largest number of threads that have ever * simultaneously been in the pool. * * @return the number of threads */ public int getLargestPoolSize() { final ReentrantLock mainLock = this.mainLock; mainLock.lock(); try { return largestPoolSize; } finally { mainLock.unlock(); } } /** * Returns the approximate total number of tasks that have ever been * scheduled for execution. Because the states of tasks and * threads may change dynamically during computation, the returned * value is only an approximation. * * @return the number of tasks */ public long getTaskCount() { final ReentrantLock mainLock = this.mainLock; mainLock.lock(); try { long n = completedTaskCount; for (Worker w : workers) { n += w.completedTasks; if (w.isLocked()) ++n; } return n + workQueue.size(); } finally { mainLock.unlock(); } } /** * Returns the approximate total number of tasks that have * completed execution. Because the states of tasks and threads * may change dynamically during computation, the returned value * is only an approximation, but one that does not ever decrease * across successive calls. * * @return the number of tasks */ public long getCompletedTaskCount() { final ReentrantLock mainLock = this.mainLock; mainLock.lock(); try { long n = completedTaskCount; for (Worker w : workers) n += w.completedTasks; return n; } finally { mainLock.unlock(); } } /** * Returns a string identifying this pool, as well as its state, * including indications of run state and estimated worker and * task counts. * * @return a string identifying this pool, as well as its state */ public String toString() { long ncompleted; int nworkers, nactive; final ReentrantLock mainLock = this.mainLock; mainLock.lock(); try { ncompleted = completedTaskCount; nactive = 0; nworkers = workers.size(); for (Worker w : workers) { ncompleted += w.completedTasks; if (w.isLocked()) ++nactive; } } finally { mainLock.unlock(); } int c = ctl.get(); String rs = (runStateLessThan(c, SHUTDOWN) ? "Running" : (runStateAtLeast(c, TERMINATED) ? "Terminated" : "Shutting down")); return super.toString() + "[" + rs + ", pool size = " + nworkers + ", active threads = " + nactive + ", queued tasks = " + workQueue.size() + ", completed tasks = " + ncompleted + "]"; } /* Extension hooks */ /** * Method invoked prior to executing the given Runnable in the * given thread. This method is invoked by thread {@code t} that * will execute task {@code r}, and may be used to re-initialize * ThreadLocals, or to perform logging. * * <p>This implementation does nothing, but may be customized in * subclasses. Note: To properly nest multiple overridings, subclasses * should generally invoke {@code super.beforeExecute} at the end of * this method. * * @param t the thread that will run task {@code r} * @param r the task that will be executed */ protected void beforeExecute(Thread t, Runnable r) { } /** * Method invoked upon completion of execution of the given Runnable. * This method is invoked by the thread that executed the task. If * non-null, the Throwable is the uncaught {@code RuntimeException} * or {@code Error} that caused execution to terminate abruptly. * * <p>This implementation does nothing, but may be customized in * subclasses. Note: To properly nest multiple overridings, subclasses * should generally invoke {@code super.afterExecute} at the * beginning of this method. * * <p><b>Note:</b> When actions are enclosed in tasks (such as * {@link FutureTask}) either explicitly or via methods such as * {@code submit}, these task objects catch and maintain * computational exceptions, and so they do not cause abrupt * termination, and the internal exceptions are <em>not</em> * passed to this method. If you would like to trap both kinds of * failures in this method, you can further probe for such cases, * as in this sample subclass that prints either the direct cause * or the underlying exception if a task has been aborted: * * <pre> {@code * class ExtendedExecutor extends ThreadPoolExecutor { * // ... * protected void afterExecute(Runnable r, Throwable t) { * super.afterExecute(r, t); * if (t == null && r instanceof Future<?>) { * try { * Object result = ((Future<?>) r).get(); * } catch (CancellationException ce) { * t = ce; * } catch (ExecutionException ee) { * t = ee.getCause(); * } catch (InterruptedException ie) { * Thread.currentThread().interrupt(); // ignore/reset * } * } * if (t != null) * System.out.println(t); * } * }}</pre> * * @param r the runnable that has completed * @param t the exception that caused termination, or null if * execution completed normally */ protected void afterExecute(Runnable r, Throwable t) { } /** * Method invoked when the Executor has terminated. Default * implementation does nothing. Note: To properly nest multiple * overridings, subclasses should generally invoke * {@code super.terminated} within this method. */ protected void terminated() { } /* Predefined RejectedExecutionHandlers */ /** * A handler for rejected tasks that runs the rejected task * directly in the calling thread of the {@code execute} method, * unless the executor has been shut down, in which case the task * is discarded. */ public static class CallerRunsPolicy implements RejectedExecutionHandler { /** * Creates a {@code CallerRunsPolicy}. */ public CallerRunsPolicy() { } /** * Executes task r in the caller's thread, unless the executor * has been shut down, in which case the task is discarded. * * @param r the runnable task requested to be executed * @param e the executor attempting to execute this task */ public void rejectedExecution(Runnable r, ThreadPoolExecutor e) { if (!e.isShutdown()) { r.run(); } } } /** * A handler for rejected tasks that throws a * {@code RejectedExecutionException}. */ public static class AbortPolicy implements RejectedExecutionHandler { /** * Creates an {@code AbortPolicy}. */ public AbortPolicy() { } /** * Always throws RejectedExecutionException. * * @param r the runnable task requested to be executed * @param e the executor attempting to execute this task * @throws RejectedExecutionException always */ public void rejectedExecution(Runnable r, ThreadPoolExecutor e) { throw new RejectedExecutionException("Task " + r.toString() + " rejected from " + e.toString()); } } /** * A handler for rejected tasks that silently discards the * rejected task. */ public static class DiscardPolicy implements RejectedExecutionHandler { /** * Creates a {@code DiscardPolicy}. */ public DiscardPolicy() { } /** * Does nothing, which has the effect of discarding task r. * * @param r the runnable task requested to be executed * @param e the executor attempting to execute this task */ public void rejectedExecution(Runnable r, ThreadPoolExecutor e) { } } /** * A handler for rejected tasks that discards the oldest unhandled * request and then retries {@code execute}, unless the executor * is shut down, in which case the task is discarded. */ public static class DiscardOldestPolicy implements RejectedExecutionHandler { /** * Creates a {@code DiscardOldestPolicy} for the given executor. */ public DiscardOldestPolicy() { } /** * Obtains and ignores the next task that the executor * would otherwise execute, if one is immediately available, * and then retries execution of task r, unless the executor * is shut down, in which case task r is instead discarded. * * @param r the runnable task requested to be executed * @param e the executor attempting to execute this task */ public void rejectedExecution(Runnable r, ThreadPoolExecutor e) { if (!e.isShutdown()) { e.getQueue().poll(); e.execute(r); } } } }

翻译得要吐了。。。