Java Callable使用实例

多个线程实现累加

import java.util.HashMap;
import java.util.Map;
import java.util.concurrent.ArrayBlockingQueue;
import java.util.concurrent.BlockingQueue;
import java.util.concurrent.Callable;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.Future;
import java.util.concurrent.RejectedExecutionHandler;
import java.util.concurrent.ThreadFactory;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeUnit;


/**
 * 
 * @ProjectName:Skeleton
 * @PackageName:
 * @Verson     :0.1
 * @CreateUser :Test
 * @CreateDate :2014-7-27上午11:46:03
 * @UseFor     :
 */
public class MultiThreadAdd {

	public static void main(String[] args) {
		
		long begin = System.currentTimeMillis() ;
		Map<String, Callable<String>> taskMap = new HashMap<String, Callable<String>>();
		taskMap.put("Task: 1" ,
				new TestMessageTask1("Task: " + 1,0,500000000));
		taskMap.put("Task: 2",
				new TestMessageTask1("Task: " + 2,500000001,1000000000));
		taskMap.put("Task: 3",
						new TestMessageTask1("Task: " + 3,1000000001,1500000000));
		taskMap.put("Task: 3",
				new TestMessageTask1("Task: " + 4,1500000001,2000000000));
		MessageThreadPoolExecutor1 executor = new MessageThreadPoolExecutor1(3,
				4, 3000L, TimeUnit.MILLISECONDS,
				new ArrayBlockingQueue<Runnable>(2));
		try {
			Map<String, String> resultMap = executor.performTasks(taskMap);
			long sum = 0 ;
			for (String key : resultMap.keySet()) {
				String temp =  resultMap.get(key) ;
				sum += Long.valueOf(temp.split("=")[1]);
			}
			System.out.println(" 最后执行的结果:"+sum);
			System.out.println("线程所花时间---->"+(System.currentTimeMillis()-begin));
			
			
			begin = System.currentTimeMillis() ;
			long temp = 0 ;
			for(long i=0;i<=2000000000;i++)
			{
				temp += i ;
			}
			System.out.println(temp);
			System.out.println(System.currentTimeMillis()-begin);
		} catch (InterruptedException e) {
			e.printStackTrace();
		}

	}

};
/**
 * 
 * @CreateUser :Test
 * @CreateDate :2014-7-25上午10:43:02
 * @UseFor     :
 */
class TestMessageTask1 implements Callable<String> {

	private String name;
	private long begin ;
	private long end ;
	public TestMessageTask1(String name,long begin,long end) {
		this.name = name;
		this.begin = begin ;
		this.end = end ;
	}

	@Override
	public String call() throws Exception {
		
		System.out.println(name+" 执行中.......");
		long sum = 0 ;
		for (long i = begin; i <= end; i++) {
			sum += i ;
		}
		return name + " completed."+" sum="+sum;
	}

};

class MessageThreadPoolExecutor1 extends ThreadPoolExecutor {

	// 把父类的构造函数全弄出来算了。。。
	public MessageThreadPoolExecutor1(int corePoolSize, int maximumPoolSize,
			long keepAliveTime, TimeUnit unit,
			BlockingQueue<Runnable> workQueue, RejectedExecutionHandler handler) {
		super(corePoolSize, maximumPoolSize, keepAliveTime, unit, workQueue,
				handler);
	}

	public MessageThreadPoolExecutor1(int corePoolSize, int maximumPoolSize,
			long keepAliveTime, TimeUnit unit,
			BlockingQueue<Runnable> workQueue, ThreadFactory threadFactory) {
		super(corePoolSize, maximumPoolSize, keepAliveTime, unit, workQueue,
				threadFactory);
	}

	public MessageThreadPoolExecutor1(int corePoolSize, int maximumPoolSize,
			long keepAliveTime, TimeUnit unit, BlockingQueue<Runnable> workQueue) {
		super(corePoolSize, maximumPoolSize, keepAliveTime, unit, workQueue);
	}

	public MessageThreadPoolExecutor1(int corePoolSize, int maximumPoolSize,
			long keepAliveTime, TimeUnit unit,
			BlockingQueue<Runnable> workQueue, ThreadFactory threadFactory,
			RejectedExecutionHandler handler) {

		super(corePoolSize, maximumPoolSize, keepAliveTime, unit, workQueue,
				threadFactory, handler);
	}

	// 定义了一个方法执行任务集合,用了泛型,表示结果类型由Callable类型的任务对象决定
	public <T> Map<String, T> performTasks(Map<String, Callable<T>> taskMap)
			throws InterruptedException {

		if (taskMap == null || taskMap.isEmpty())
			throw new NullPointerException();
		
		Map<String, Future<T>> futureMap = new HashMap<String, Future<T>>();
		Map<String, T> messageMap = new HashMap<String, T>();
		boolean done = false;
		
		try {
			for (String key : taskMap.keySet()) {
				/**
				 * 这里用了两种方式执行任务:execute与submit,建议翻翻API文档, 关于Future的get方法,没弄懂。。。
				 */
				futureMap.put(key, submit(taskMap.get(key)));
			}
			/**
			 * 再次遍历任务,逐个调用get方法,get方法会阻塞住直到任务完成,
			 * get方法返回一个结果,根据结果判断任务执行成功与否,这也是我没有看懂
			 * API的地方,那个submit方法明明说返回的Future对象如果成功它的get方法
			 * 返回null,但messageMap中的value是有的,不为null。。。
			 * 
			 * 先提交任务  返回信息保存在Future里面
			 */
			for (String key : futureMap.keySet()) {
				Future<T> f = futureMap.get(key);
				try {
					T result = f.get();
					messageMap.put(key, result);
				} catch (ExecutionException e) {
					System.out.println(e.getMessage());
				}
			}
			done = true;
			return messageMap;
		} finally {
			// 若上面出了异常没done,没做完的任务直接cancel
			if (!done) {
				for (String key : futureMap.keySet()) {
					futureMap.get(key).cancel(true);
				}
			}
			this.shutdown();
		}

	}

}


例子 2

/**
 * 
 */
package com.comtop.test;

import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.ArrayBlockingQueue;
import java.util.concurrent.Callable;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeUnit;

/**
 * @ProjectName:Skeleton
 * @PackageName:com.comtop.test
 * @Verson :0.1
 * @CreateUser :lanweixing
 * @CreateDate :2014-9-3上午9:41:16
 * @UseFor :
 */
public class DoThread {
	
	public static void main(String[] args) {
		List<Num> list = new ArrayList<Num>();
		List<Message> result1 = new ArrayList<Message>();
		List<Message> result = new ArrayList<Message>();
		// ExecutorService pool = Executors.newCachedThreadPool() ;
		//使用线程池处理
		ThreadPoolExecutor pool = new ThreadPoolExecutor(3, 4, 3000L,
				TimeUnit.MILLISECONDS, new ArrayBlockingQueue<Runnable>(2));
		
		for (int i = 0; i < 1000000; i++) {
			list.add(new Num(i));
		}
		long begin = System.currentTimeMillis();
		try {
			//1000000条数据5个线程跑   每个线程跑集合中的一部分
			for (int i = 0; i < 5; i++) {
				result1 = pool.submit(
						new Main4Thread(list, i * 200000, (i + 1) * 200000))
						.get();
				result.addAll(result1);
			}
		} catch (InterruptedException e) {
			e.printStackTrace();
		} catch (ExecutionException e) {
			e.printStackTrace();
		}
		pool.shutdown();
		System.out.println("所用时间" + (System.currentTimeMillis() - begin));
		System.out.println(result.size());
	}
};

class Main4Thread implements Callable<List<Message>> {
	private List<Num> num;
	private int begin;
	private int end;

	/**
	 * @param num
	 */
	Main4Thread(List<Num> num, int begin, int end) {
		super();
		this.num = num;
		this.begin = begin;
		this.end = end;
	}

	@Override
	public List<Message> call() throws Exception {

		List<Message> msgList = new ArrayList<Message>();
		for (int i = begin; i < end; i++) {
			if (num.get(i).getAge() >= 500000) {
				//线程逻辑处理
				Message msg = new Message();
				msg.setMsg(num.get(i).getAge() + " Too old");
				msgList.add(msg);
			}
		}
		System.out.println(Thread.currentThread().getName());
		return msgList;
	}

};

class Message {
	private String msg;

	public String getMsg() {
		return msg;
	}

	public void setMsg(String msg) {
		this.msg = msg;
	}

};

class Num {
	private int age;

	/**
	 * @param age
	 */
	Num(int age) {
		super();
		this.age = age;
	}

	public int getAge() {
		return age;
	}

	public void setAge(int age) {
		this.age = age;
	}

};


3.使用线程处理项目中的需求

需求:三个线程并行处理三个SQL语句查询

线程类

@Scope("prototype")
//线程类需要注解到spring中 不然无法使用具体DAO操作
@Service
public class MainExcutor implements Callable<List<XXXVO>> {

	// 日志记录
	private final static Logger logger = LoggerFactory
			.getLogger(MainExcutor.class);
	@Resource
	private XXXDAO xxxDAO;

	private XXXVO xxxVO;

	public XXXVO getXXXVO() {
		return xxxVO;
	}

	public void setXXXVO(XXXVO xxxVO) {
		this.xxxVO = xxxVO;
	}

	MainExcutor() {
		super();
	}

	@Override
	public List<XXXVO> call() throws Exception {
		logger.info(" 线程查询数据中。。。");
		List<XXXVO> resultList = new ArrayList<XXXVO>();
		resultList = this.xxxDAO
				.queryXXXData(xxxVO);
		logger.info(" 线程查询数据结束。。。");
		return resultList;
	}
};


XXXDAO代码片段

 //三个线程实例
 @Resource
	private MainExcutor mainExcutor1;

	@Resource
	private MainExcutor mainExcutor2;

	@Resource
	private MainExcutor mainExcutor3;

 Map<String, Callable<List<XXXVO>>> taskMap = new HashMap<String, Callable<List<XXXVO>>>();
		// 三个参数对象各不相同
		BeanCopier beanCopier = BeanCopier.create(XXXVO.class,
				XXXVO.class, false);

		XXXVO xxxVO02 = new XXXVO();
		XXXVO xxxVO03 = new ElectricTopicVO();
		beanCopier.copy(xxxVO, xxxVO02, null);
		beanCopier.copy(xxxVO, xxxVO03 , null);

		// 1   2  3 
		xxxVO.setType("1");
		this.mainExcutor1.setXXXVO(xxxVO);
		taskMap.put("Task1", this.mainExcutor1);

		xxxVO02.setType("2");
		this.mainExcutor2.setXXXVO(xxxVO02);
		taskMap.put("Task2", this.mainExcutor2);

		xxxVO03 .setType("3");
		this.mainExcutor3.setXXXVO(xxxVO03);
		taskMap.put("Task3", this.mainExcutor3);

		MessageThreadPoolExecutor executor = new MessageThreadPoolExecutor(3,
				4, 3000L, TimeUnit.MILLISECONDS,
				new ArrayBlockingQueue<Runnable>(4));
		try {
			Map<String, List<XXXVO>> resultMap = executor
					.performTasks(taskMap);
			for (String key : resultMap.keySet()) {
				tempList = resultMap.get(key);
				resultList.addAll(tempList);
			}
		} catch (InterruptedException e1) {
			e1.printStackTrace();
		}


线程池实现类(实现并发执行的关键)

class MessageThreadPoolExecutor extends ThreadPoolExecutor {

	// 把父类的构造函数全弄出来算了。。。
	public MessageThreadPoolExecutor(int corePoolSize, int maximumPoolSize,
			long keepAliveTime, TimeUnit unit,
			BlockingQueue<Runnable> workQueue, RejectedExecutionHandler handler) {
		super(corePoolSize, maximumPoolSize, keepAliveTime, unit, workQueue,
				handler);
	}

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

	public MessageThreadPoolExecutor(int corePoolSize, int maximumPoolSize,
			long keepAliveTime, TimeUnit unit, BlockingQueue<Runnable> workQueue) {
		super(corePoolSize, maximumPoolSize, keepAliveTime, unit, workQueue);
	}

	public MessageThreadPoolExecutor(int corePoolSize, int maximumPoolSize,
			long keepAliveTime, TimeUnit unit,
			BlockingQueue<Runnable> workQueue, ThreadFactory threadFactory,
			RejectedExecutionHandler handler) {

		super(corePoolSize, maximumPoolSize, keepAliveTime, unit, workQueue,
				threadFactory, handler);
	}

	// 线程池主要执行方法
	public <T> Map<String, T> performTasks(Map<String, Callable<T>> taskMap)
			throws InterruptedException {
		// 无任务集合
		if (taskMap == null || taskMap.isEmpty()) {
			throw new NullPointerException();
		}
		Map<String, Future<T>> futureMap = new HashMap<String, Future<T>>();
		Map<String, T> messageMap = new HashMap<String, T>();
		boolean done = false;

		try {
			for (String key : taskMap.keySet()) {
				futureMap.put(key, submit(taskMap.get(key)));
			}
			for (String key : futureMap.keySet()) {
				Future<T> f = futureMap.get(key);
				try {
					T result = f.get();
					messageMap.put(key, result);
				} catch (ExecutionException e) {
					System.out.println(e.getMessage());
				}
			}
			done = true;
			return messageMap;
		} finally {
			if (!done) {
				for (String key : futureMap.keySet()) {
					futureMap.get(key).cancel(true);
				}
			}
			this.shutdown();
		}
	}
};


多线程调用多线程 需要注意的是子线程的线程池需要调大到大于8否则会导致不同步


import java.util.HashMap;
import java.util.Map;
import java.util.concurrent.ArrayBlockingQueue;
import java.util.concurrent.Callable;
import java.util.concurrent.TimeUnit;

public class Test implements Callable<String> {
	
	private static final MainPoolExecutor executor = new MainPoolExecutor(3,
			4, 3000L, TimeUnit.MILLISECONDS, new ArrayBlockingQueue<Runnable>(
					10));
	private String name;

	public String getName() {
		return name;
	}

	public void setName(String name) {
		this.name = name;
	}

	public Test() {
		super();
	}

	public Test(String name) {
		this.name = name;
	}

	@Override
	public String call() throws Exception {
		System.out.println(name + " 开始!");
		Thread.sleep(1000);
		System.out.println(name + " 结束!");
		return null;
	}

	public static void main(String[] args) {
		
		SuperTest[] testArr = new SuperTest[] { new SuperTest("父线程1"),
				new SuperTest("父线程2"), new SuperTest("父线程3") };
		Map<String, Callable<String>> taskMap = new HashMap<String, Callable<String>>();
		try {
			for (SuperTest test : testArr) {
				taskMap.put(String.valueOf(Math.random()), test);
			}
			executor.performTasks(taskMap);
		} catch (InterruptedException e) {
			e.printStackTrace();
		} finally {
			executor.shutdown();
		}
	}
};

class SuperTest implements Callable<String> {
	// 一共有9个线程所以 corePoolSize 和 maximumPoolSize得设置成大于等于9的数字 否则不同步
	private static final MainPoolExecutor executor = new MainPoolExecutor(9,
			9, 3000L, TimeUnit.MILLISECONDS, new ArrayBlockingQueue<Runnable>(
					10));
	private String name;

	public String getName() {
		return name;
	}

	public SuperTest() {
		super();
	}

	public SuperTest(String name) {
		this.name = name;
	}
	@Override
	public String call() {
		Test[] testArr = new Test[] { new Test(name + " 子线程1"),
				new Test(name + " 子线程2"), new Test(name + " 子线程3") };
		Map<String, Callable<String>> taskMap = new HashMap<String, Callable<String>>();
		for (Test test : testArr) {
			taskMap.put(String.valueOf(Math.random()), test);
		}
		try {
			executor.performTasks(taskMap);
		} catch (InterruptedException e) {
			e.printStackTrace();
		} finally {
			executor.shutdown();
		}
		return null;
	}
}


FutureTask不会阻塞主线程


import java.util.concurrent.Callable;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.FutureTask;
import java.util.concurrent.locks.ReadWriteLock;
import java.util.concurrent.locks.ReentrantReadWriteLock;

/**
 * FutureTask线程执行不会阻塞主线程
 * @author Test
 *
 */
public class NoInterruptTest implements Callable<String> {
	
	private long longTime;
	// 锁对象 需要放外部 否则
	private final ReadWriteLock lock =new ReentrantReadWriteLock();
	public long getLongTime() {
		return longTime;
	}

	public void setLongTime(long longTime) {
		this.longTime = longTime;
	}

	public NoInterruptTest() {
		super();
	}

	public NoInterruptTest(long longTime) {
		this.longTime = longTime;
	}

	@Override
	public String call() throws Exception {
		// synchronized 用于控制同一个对象的多个线程访问
		lock.writeLock().lock();
		System.out.println(Thread.currentThread().getName()+" 开始!");
		Thread.sleep(longTime);
		System.out.println(Thread.currentThread().getName()+" 结束!");
		lock.writeLock().unlock() ;
		return "lanweixing";
	}
	public static void main(String[] args) throws Exception{
		long n1 = System.currentTimeMillis() ;
		NoInterruptTest callable1 = new NoInterruptTest(3000);
		NoInterruptTest callable2 = new NoInterruptTest(3000);
		ExecutorService executorService = Executors.newCachedThreadPool(); 
		FutureTask<String> task1 = new FutureTask<String>(callable1);
		FutureTask<String> task2 = new FutureTask<String>(callable1);
		executorService.execute(task1);
		executorService.execute(task2);
		while(true)
		{
			if(task1.isDone() && task2.isDone())
			{
				// 获得线程执行结果
				System.out.println(task1.get());
				System.out.println("任务已处理。");
				break ;
			}
		}
		System.out.println((System.currentTimeMillis()-n1)/1000);
		executorService.shutdown();
	}
};

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