你清楚如何动态的调整动态调整corePoolSize与maximumPoolSize吗？

前言

线程池ThreadPoolExecutor在运行的过程中，业务并发量变动，需要不停服务调整线程池的线程数，ThreadPoolExecutor支持动态调整corePoolSize与maximumPoolSize的值。

示例demo

public class ThreadChangeTest {
    public static void main(String[] args) throws InterruptedException {
        ThreadPoolExecutor executor = new ThreadPoolExecutor(3,
                10,
                10l, TimeUnit.SECONDS,
                new LinkedBlockingQueue<>(10));
		int count = 0;
        while (true) {
            Thread.sleep(1000l);
            for (int i = 0; i < 9; i++) {
                executor.execute(() -> {
                    /*try {
                        Thread.sleep(1l);
                    } catch (InterruptedException e) {
                        e.printStackTrace();
                    }*/
                    System.out.println("------------core:\t" + executor.getCorePoolSize() + "\tactive:\t" + executor.getActiveCount() + "\tmax:\t" + executor.getMaximumPoolSize());
                });
            }

            count++;
            if (count == 20) {
                executor.setCorePoolSize(2);
                executor.setMaximumPoolSize(9);
                System.out.println("----------------------------------------");
            }

            if (count == 100) {
                executor.shutdown();
                System.out.println("=============================================");
                break;
            }
        }
        Thread.currentThread().join();
    }
}

在程序运行中动态修改线程池corePoolSize与maximumPoolSize的值

源码分析

线程池参数调大

public void setCorePoolSize(int corePoolSize) {
    if (corePoolSize < 0)
        throw new IllegalArgumentException();
    int delta = corePoolSize - this.corePoolSize;
    this.corePoolSize = corePoolSize;
    //核心线程调小，中断空闲任务，否则线程池的当前任务结束，自动调小
    if (workerCountOf(ctl.get()) > corePoolSize)
        interruptIdleWorkers();
    //核心线程数调大后，从队列取任务
    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.
        //队列大小是否可以取任务
        int k = Math.min(delta, workQueue.size());
        //队列有任务就取，否则break
        while (k-- > 0 && addWorker(null, true)) {
            if (workQueue.isEmpty())
                break;
        }
    }
}
 
public void setMaximumPoolSize(int maximumPoolSize) {
    if (maximumPoolSize <= 0 || maximumPoolSize < corePoolSize)
        throw new IllegalArgumentException();
    this.maximumPoolSize = maximumPoolSize;
    //中断空闲任务，否则线程池的当前任务结束，自动调小
    if (workerCountOf(ctl.get()) > maximumPoolSize)
        interruptIdleWorkers();
}

源码看出：线程池的调节时直接设置corePoolSize与maximumPoolSize的值

其中

workerCountOf(ctl.get())

代表工作任务线程数，参考我的博客JDK8线程池-ThreadPoolExecutor源码解析

调大corePoolSize与maximumPoolSize，线程池运行过程中自动生效，线程池处理逻辑增强。

线程池调小

调小corePoolSize与maximumPoolSize均会执行

interruptIdleWorkers();

跟踪interruptIdleWorkers源码

private void interruptIdleWorkers() {
    interruptIdleWorkers(false);
}
 
private void interruptIdleWorkers(boolean onlyOne) {
    final ReentrantLock mainLock = this.mainLock;
    mainLock.lock();
    try {
        //workers是所有已存在的线程，包括空闲线程
        for (Worker w : workers) {
            Thread t = w.thread;
            //这里注意，非常关键，加锁w.tryLock()
            if (!t.isInterrupted() && w.tryLock()) {
                try {
                    t.interrupt();
                } catch (SecurityException ignore) {
                } finally {
                    w.unlock();
                }
            }
            //从上面的参数onlyOne is false
            if (onlyOne)
                break;
        }
    } finally {
        mainLock.unlock();
    }
}

这里的workers注意：是一个HashSet，存放规则：

核心线程优先占满，即使核心线程有空闲，新任务来了会优先开启新的线程而不是复用，核心线程仅在占满才会复用，然后使用队列，最后使用max线程，max线程数对应的workers会动态变化，

参考我的博客JDK8线程池-ThreadPoolExecutor源码解析

线程池任务执行源码

我们看ThreadPoolExecutor执行任务的源码，参考我的博客JDK8线程池-ThreadPoolExecutor源码解析

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) {
                //这里注意，加锁了，非常关键
                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 {
                        //任务执行
                        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);
        }
}

可以看出在任务拿出来后，立即加锁

包括任务执行的过程都是加锁的。

加锁分析

private final class Worker extends AbstractQueuedSynchronizer implements Runnable {
	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);
}

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(); }

使用了AQS，自定义了加锁方式CAS模式

public abstract class AbstractQueuedSynchronizer 
			extends AbstractOwnableSynchronizer 
			implements java.io.Serializable {

    public final void acquire(int arg) {
        if (!tryAcquire(arg) &&
            acquireQueued(addWaiter(Node.EXCLUSIVE), arg))
            selfInterrupt();
    }

    public final boolean release(int arg) {
        if (tryRelease(arg)) {
            Node h = head;
            if (h != null && h.waitStatus != 0)
                unparkSuccessor(h);
            return true;
        }
        return false;
    }
}

可以看出使用tryAcquire和tryRelease，均重写方法

protected boolean tryAcquire(int unused) {
    if (compareAndSetState(0, 1)) {
        setExclusiveOwnerThread(Thread.currentThread());
        return true;
    }
    return false;
}

compareAndSetState(0, 1)

使用上面的代码加锁，意味着线程执行过程中都是加锁的，不会被销毁，只会销毁空闲线程，或者当前线程执行结束销毁。

线程池调小corePoolSize与maximumPoolSize对当前正在执行的任务没有影响。

调节队列大小

队列是不可以动态调整的。

private final int capacity;

总结

• 线程池corePoolSize与maximumPoolSize调大注意max线程数不要调过大，计算机资源是有限的。

• 线程池的队列初始化大小注意，不能动态调节，队列占用的是堆内存，注意JVM的内存大小与GC能力，尽量减小大对象的存在。

• 线程池corePoolSize与maximumPoolSize和队列调小注意，线程池的处理能力减弱，可能会执行拒绝策略。

参考地址

• https://blog.csdn.net/fenglllle/article/details/84473345

如果大家喜欢我的文章，可以关注个人订阅号。欢迎随时留言、交流。如果想加入微信群的话一起讨论的话，请加管理员简栈文化-小助手（lastpass4u），他会拉你们进群。