线程池拒绝策略

package com.bjsxt.height.concurrent018;

import java.util.concurrent.ArrayBlockingQueue;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.LinkedBlockingQueue;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.ThreadPoolExecutor.DiscardOldestPolicy;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.ThreadPoolExecutor.CallerRunsPolicy;



public class UseThreadPoolExecutor1 {


	public static void main(String[] args) {
		/**
		 * 在使用有界队列时,若有新的任务需要执行,如果线程池实际线程数小于corePoolSize,则优先创建线程,
		 * 若大于corePoolSize,则会将任务加入队列,
		 * 若队列已满,则在总线程数不大于maximumPoolSize的前提下,创建新的线程,
		 * 若线程数大于maximumPoolSize,则执行拒绝策略。或其他自定义方式。
		 * 
		 * 如果是无界队列线程池有多少,一次并发运行多少。无界队列要排队,具体参考上面。
		 * 无界队列(第二个参数MaxSize ,设置无效,并发处理量 看corepoolsize大小):
				LinkedBlockingQueue 与有界队列相比,除非系统内容耗尽,否则不存在失败情况
				当有新任务到来,corepoolsize后,就不会继续增加,若后续仍有新任务加入,而
				没有空闲的线程,则任务直接进入队列等待。若任务创建和处理的速度差异很大,无界
				队列保存快速增长,指导资源耗尽。
				JDK拒绝策略:
				AbortPolicy :直接抛出异常,系统正常工作。
				CallerRunSPolicy:只要线程池没有关闭,在调用者线程中,运行当前被丢弃的任务。
				DiscarOldestPolicy:丢弃最老的一个请求,尝试再次提交当前任务。
				DiscardPolicy:丢弃无法处理的人为奴,不给任何处理。
		 */	
		ThreadPoolExecutor pool = new ThreadPoolExecutor(
				1, 				//coreSize
				5, 				//MaxSize
				60, 			//60
				TimeUnit.SECONDS, 
				new ArrayBlockingQueue<Runnable>(2)			//指定一种队列 (有界队列)
				//new LinkedBlockingQueue<Runnable>()
				//, new MyRejected()
				, new DiscardOldestPolicy()//指定进不去队列后的 处理办法。
				);
		//ExecutorService pool = Executors.newFixedThreadPool(10);
		
		MyTask mt1 = new MyTask(1, "任务1");
		MyTask mt2 = new MyTask(2, "任务2");
		MyTask mt3 = new MyTask(3, "任务3");
		MyTask mt4 = new MyTask(4, "任务4");
		MyTask mt5 = new MyTask(5, "任务5");
		MyTask mt6 = new MyTask(6, "任务6");
		
		pool.execute(mt1);
		pool.execute(mt2);
		pool.execute(mt3);
		pool.execute(mt4);
		pool.execute(mt5);
		pool.execute(mt6);
		
		pool.shutdown();//线程执行完后才关闭。
		
	}
}
package com.bjsxt.height.concurrent018;

import java.net.HttpURLConnection;
import java.util.concurrent.RejectedExecutionHandler;
import java.util.concurrent.ThreadPoolExecutor;

public class MyRejected implements RejectedExecutionHandler{

	
	public MyRejected(){
	}
	
	@Override
	public void rejectedExecution(Runnable r, ThreadPoolExecutor executor) {
		System.out.println("自定义处理..");
		System.out.println("当前被拒绝任务为:" + r.toString());
		

	}

}
package com.bjsxt.height.concurrent018;

public class MyTask implements Runnable {

	private int taskId;
	private String taskName;
	
	public MyTask(int taskId, String taskName){
		this.taskId = taskId;
		this.taskName = taskName;
	}
	
	public int getTaskId() {
		return taskId;
	}

	public void setTaskId(int taskId) {
		this.taskId = taskId;
	}

	public String getTaskName() {
		return taskName;
	}

	public void setTaskName(String taskName) {
		this.taskName = taskName;
	}

	@Override
	public void run() {
		try {
			System.out.println("run taskId =" + this.taskId);
			Thread.sleep(5*1000);
			//System.out.println("end taskId =" + this.taskId);
		} catch (InterruptedException e) {
			e.printStackTrace();
		}		
	}
	
	public String toString(){
		return Integer.toString(this.taskId);
	}

}

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转载自barabbas.iteye.com/blog/2419248