JUC系列 - ThreadPoolExecutor 源碼分析

ThreadPoolExecutor是大家在日常開發(fā)中經(jīng)常用到的類,java.util.concurrent包提供了 java.util.concurrent.Executors工具類方便大家創(chuàng)建線程池。

Executors

1、創(chuàng)建固定大小線程池

ExecutorService es = Executors.newFixedThreadPool(20);

Executors.newFixedThreadPool() 源碼如下:

public static ExecutorService newFixedThreadPool(int nThreads) {
        return new ThreadPoolExecutor(nThreads, nThreads,
                                      0L, TimeUnit.MILLISECONDS,
                                      new LinkedBlockingQueue<Runnable>());
    }

2、創(chuàng)建單線程線程池

ExecutorService es = Executors.newSingleThreadExecutor();

Executors.newSingleThreadExecutor()源碼如下:

public static ExecutorService newSingleThreadExecutor() {
        return new FinalizableDelegatedExecutorService
            (new ThreadPoolExecutor(1, 1,
                                    0L, TimeUnit.MILLISECONDS,
                                    new LinkedBlockingQueue<Runnable>()));
    }

3、創(chuàng)建緩存的線程池

ExecutorService es = Executors.newCachedThreadPool();

Executors.newCachedThreadPool() 源碼如下:

public static ExecutorService newCachedThreadPool() {
        return new ThreadPoolExecutor(0, Integer.MAX_VALUE,
                                      60L, TimeUnit.SECONDS,
                                      new SynchronousQueue<Runnable>());
    }

** 不建議大家使用 java.util.concurrent.Executors,推薦直接使用 new ThreadPoolExecutor() 來創(chuàng)建,這樣更清楚線程池的參數(shù)配置。**

ThreadPoolExecutor

首先,看看 java.util.concurrent.ThreadPoolExecutor 的構(gòu)造方法,如下:

package java.util.concurrent;

public class ThreadPoolExecutor extends AbstractExecutorService {
    
    /**構(gòu)造方法**/
    public ThreadPoolExecutor(int corePoolSize,
                              int maximumPoolSize,
                              long keepAliveTime,
                              TimeUnit unit,
                              BlockingQueue<Runnable> workQueue) {
        this(corePoolSize, maximumPoolSize, keepAliveTime, unit, workQueue,
             Executors.defaultThreadFactory(), defaultHandler);
    }

    public ThreadPoolExecutor(int corePoolSize,
                              int maximumPoolSize,
                              long keepAliveTime,
                              TimeUnit unit,
                              BlockingQueue<Runnable> workQueue,
                              ThreadFactory threadFactory) {
        this(corePoolSize, maximumPoolSize, keepAliveTime, unit, workQueue,
             threadFactory, defaultHandler);
    }

    public ThreadPoolExecutor(int corePoolSize,
                              int maximumPoolSize,
                              long keepAliveTime,
                              TimeUnit unit,
                              BlockingQueue<Runnable> workQueue,
                              RejectedExecutionHandler handler) {
        this(corePoolSize, maximumPoolSize, keepAliveTime, unit, workQueue,
             Executors.defaultThreadFactory(), handler);
    }

    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;
    }
}

參考資料

https://juejin.im/post/58e7544c0ce463005851eb92

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