2016-02-23 90 views
0

我们的任务队列和其正开始看起来像:为什么总是threadPoolExecutor.getActiveCount()<= maximumPoolSize/2?

LinkedBlockingQueue<Runnable> queue = new LinkedBlockingQueue<Runnable>(); 
ThreadPoolExecutor threadPoolExecutor = new ThreadPoolExecutor(maximumPoolSize, maximumPoolSize, 50000L, TimeUnit.MILLISECONDS, queue); 

maximumPoolSize值是200工作时的队列中获得了大量的线程(上千),但threadPoolExecutor.getActiveCount()返回的值总是小于或等于100。例如,值threadPoolExecutor.getActiveCount()queue.size()被记录如下:

logger.debug("Active threads: " + threadPoolExecutor.getActiveCount() + ". The queue has " + queue.size() + " threads."); 

并且作为结果,我们得到以下日志:

Active threads: 1. The queue has 0 threads. 
Active threads: 2. The queue has 0 threads. 
Active threads: 3. The queue has 0 threads. 
Active threads: 4. The queue has 0 threads. 
Active threads: 5. The queue has 0 threads. 
... 
Active threads: 86. The queue has 0 threads. 
Active threads: 87. The queue has 1 threads. 
Active threads: 88. The queue has 1 threads. 
Active threads: 89. The queue has 1 threads. 
Active threads: 90. The queue has 1 threads. 
... 
Active threads: 99. The queue has 1 threads. 
Active threads: 100. The queue has 1 threads. 
Active threads: 100. The queue has 2 threads. 
Active threads: 100. The queue has 3 threads. 
Active threads: 100. The queue has 4 threads. 
... 
Active threads: 100. The queue has 1874 threads. 
Active threads: 100. The queue has 1875 threads. 
Active threads: 100. The queue has 1876 threads. 
Active threads: 100. The queue has 1877 threads. 
Active threads: 100. The queue has 1878 threads. 
Active threads: 100. The queue has 1879 threads. 
Active threads: 100. The queue has 1880 threads. 
Active threads: 100. The queue has 1881 threads. 
Active threads: 100. The queue has 1882 threads. 
Active threads: 100. The queue has 1883 threads. 

的文档说threadPoolExecutor.getActiveCount()方法

返回正在积极执行 任务

但是线程的大致数量,为什么总是这样一个近似值maximumPoolSize/2的最大阈值?它应该是这样吗?

P.S.我无法重现这种情况:在我的PC上,在这种情况下总是有200个活动线程。但上述日志不是来自我的电脑。它可以取决于处理器/虚拟内核的数量吗?

我也发现有趣的一段代码在The Grey Blog

int cpus = Runtime.getRuntime().availableProcessors(); 
int maxThreads = cpus * scaleFactor; 
maxThreads = (maxThreads > 0 ? maxThreads : 1); 

但最终我很困惑,因为Runtime.getRuntime().availableProcessors()值为8我的电脑上。

+0

注意:除非你有这么多的逻辑CPU,你可能会发现,拥有更多线程比较慢,但它看起来像你的最高设置为100 @VickyThakor建议。 –

+0

@PeterLawrey,我编辑了我的帖子 – Ksenia

+1

我建议你打印'threadPoolExecutor.getPoolSize()'最大值不取决于你拥有的核心数量,只有在这点上有更多的不是一个好主意。 –

回答

2

您确定变量maximumPoolSize设置为200。它对我的工作很好。

import java.util.concurrent.LinkedBlockingQueue; 
import java.util.concurrent.ThreadPoolExecutor; 
import java.util.concurrent.TimeUnit; 

public class SO35570728 { 

    private class Task implements Runnable{ 

     @Override 
     public void run() { 
      System.out.println(Thread.currentThread().getName() + " started"); 
      try { 
       Thread.sleep(5000); 
      } catch (InterruptedException e) { 
       e.printStackTrace(); 
      } 
      System.out.println(Thread.currentThread().getName() + " finished"); 
     } 
    } 

    public static void main(String[] args) { 
     LinkedBlockingQueue<Runnable> queue = new LinkedBlockingQueue<Runnable>(); 
     ThreadPoolExecutor threadPoolExecutor = new ThreadPoolExecutor(200, 200, 50000L, TimeUnit.MILLISECONDS, queue); 

     for(int i= 0 ; i < 100000 ; i++){ 
      System.out.println("Active threads: " + threadPoolExecutor.getActiveCount() + ". The queue has " + queue.size() + " threads."); 
      threadPoolExecutor.submit(new SO35570728().new Task()); 
     } 
    } 
} 

输出

Active threads: 0. The queue has 0 threads. 
Active threads: 1. The queue has 0 threads. 
Active threads: 2. The queue has 0 threads. 
Active threads: 3. The queue has 0 threads. 
... 
pool-1-thread-1 started 
pool-1-thread-2 started 
pool-1-thread-3 started 
... 
Active threads: 200. The queue has 99793 threads. 
Active threads: 200. The queue has 99794 threads. 
Active threads: 200. The queue has 99795 threads. 
Active threads: 200. The queue has 99796 threads. 
Active threads: 200. The queue has 99797 threads. 
Active threads: 200. The queue has 99798 threads. 
Active threads: 200. The queue has 99799 threads. 
+0

@Thakor,请再看看我的帖子,我编辑它 – Ksenia

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