多线程编程 —— 线程池源码解析

 2023-02-05
原文作者:蒋先森 原文地址:https://jlj98.top/

之前写过一篇线程池,可以大致了解关于线程池的概念以及运行过程。 Java 线程池

线程池常量

    // 标记线程池昨天,默认RUNNING
    private final AtomicInteger ctl = new AtomicInteger(ctlOf(RUNNING, 0));
    // 线程个数
    private static final int COUNT_BITS = Integer.SIZE - 3;
    // 线程最大个数
    private static final int CAPACITY   = (1 << COUNT_BITS) - 1;
    
    // 线程池状态
    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;

ThreadPoolExecutor#execute

execute(Runnable command) 方法是提交任务到线程池执行的。

    public void execute(Runnable command) {
        if (command == null)
            throw new NullPointerException();
        // 获取当前线程池的状态+线程个数遍历组合值
        int c = ctl.get();
        // 当前线程池小于核心线程池,开启新线程执行
        if (workerCountOf(c) < corePoolSize) {
            if (addWorker(command, true))
                return;
            c = ctl.get();
        }
        // 如果线程池处于RUNNING,将任务添加到队列中
        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);
        }
        // 如果队列满了,创建非核心线程执行任务,如果失败,执行拒绝策略
        else if (!addWorker(command, false))
            reject(command);
    }

这块代码的逻辑就是线程池如何处理新任务的逻辑。

    private boolean addWorker(Runnable firstTask, boolean core) {
        retry:
        for (;;) {
            int c = ctl.get();
            int rs = runStateOf(c);
    
            // 检测队列是否为空
            if (rs >= SHUTDOWN &&
                ! (rs == SHUTDOWN &&
                   firstTask == null &&
                   ! workQueue.isEmpty()))
                return false;
            // 循环CAS 增加线程数
            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) {
                    // 调用 w.run,实际调用 runWorker方法
                    t.start();
                    workerStarted = true;
                }
            }
        } finally {
            if (! workerStarted)
                addWorkerFailed(w);
        }
        return workerStarted;
    }

addWorker() 方法中参数 core 表明当前任务是绑定核心线程还是非核心线程。

非核心线程池回收

    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;
            // 判断当前活跃线程数是否大于最大线程数 || 允许超时 || 上次超时获取到的线程为null,接着判断 如果 wc >1 或队列为空,则将线程数减1,并且返回一个null的task
            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;
            }
        }
    }

timed = true 时,会执行 workQueue.poll(keepAliveTime, TimeUnit.NANOSECONDS) 方法。而 timed 的判断是在 boolean timed = allowCoreThreadTimeOut || wc > corePoolSize;allowCoreThreadTimeOut 默认 false,所以看 wc > corePoolSize 条件了,wc 是活跃线程数,表达式的意思是判断活跃线程数>核心线程数。

如果当前活跃线程数大于核心线程数,给定 keepAliveTime 时间等待获取队列任务,如果获取不到,返回null;否则直接从队列中获取任务。

    final void runWorker(Worker w) {
        Thread wt = Thread.currentThread();
        Runnable task = w.firstTask;
        w.firstTask = null;
        w.unlock(); // allow interrupts
        boolean completedAbruptly = true;
        try {
            // 循环获取task,在这里调用 getTask 方法,获取任务,如果获取不到任务,则执行 processWorkerExit 方法处理线程退出
            while (task != null || (task = getTask()) != null) {
                w.lock();
                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 {
            // 当获取不到任务的时候,执行
            processWorkerExit(w, completedAbruptly);
        }
    }
    
    // 当线程获取不到 tasks,就调用 processWorkerExit 方法,处理线程退出
    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;
            // 执行remove操作,线程回收
            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);
        }
    }

对于线程池中的线程,是没有核心线程和非核心线程的区别,只有当前工作线程。线程池对于非核心线程的回收,只是判断当前工作线程是否大于核心线程。所以,当工作线程大于核心线程数之后,所以的线程都是 poll,也就是说,所以线程都可能被回收。

总结:在 runWorker 执行任务时,会循环从队列中获取任务(getTask),当活跃线程大于核心线程时,就会设置过期超时时间获取队列任务,否则会直接获取队列任务。当获取不到任务时,就会执行线程退出任务,这时候,就会把多余的线程删除。

参考