java 中ThreadPoolExecutor原理分析

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

/**
   * @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。

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

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。

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。

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

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。

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。

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);
    }
  }

感谢阅读，希望能帮助到大家，谢谢大家对本站的支持！

# java  # ThreadPoolExecutor  # 原理  # ThreadPoolExecutor深入理解  # ThreadPoolExecutor线程池原理及其execute方法(详解)  # java中Executor  # ExecutorService  # ThreadPoolExecutor详解  # 简单谈谈ThreadPoolExecutor线程池之submit方法  # java ThreadPoolExecutor 并发调用实例详解  # java ThreadPoolExecutor使用方法简单介绍  # Java ThreadPoolExecutor的参数深入理解  # java线程池对象ThreadPoolExecutor的深入讲解  # 池中  # 都是  # 几个  # 这两个  # 希望能  # 如果没有  # 还未  # 当我们  # 谢谢大家  # 设置为  # 经常会  # 必须先  # 创建一个  # 抛出  # 上做  # 则将  # 类中  # 新任务  # 逸出  # 正在运行 

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