多线程 ForkJoinPool

背景：ForkJoinPool的优势在于，可以充分利用多cpu，多核cpu的优势，把一个任务拆分成多个“小任务”，把多个“小任务”放到多个处理器核心上并行执行；当多个“小任务”执行完成之后，再将这些执行结果合并起来即可。这种思想值得学习。

介绍

Java7 提供了ForkJoinPool来支持将一个任务拆分成多个“小任务”并行计算，再把多个“小任务”的结果合并成总的计算结果。

ForkJoinPool是ExecutorService的实现类，因此是一种特殊的线程池。

使用方法：创建了ForkJoinPool实例之后，就可以调用ForkJoinPool的submit(ForkJoinTask task) 或invoke(ForkJoinTask task)方法来执行指定任务了。

其中ForkJoinTask代表一个可以并行、合并的任务。ForkJoinTask是一个抽象类，它还有两个抽象子类：RecusiveAction和RecusiveTask。其中RecusiveTask代表有返回值的任务，而RecusiveAction代表没有返回值的任务。

下面的UML类图显示了ForkJoinPool、ForkJoinTask之间的关系：

案列一：通过多线程分多个小任务进行打印数据  无返回值的

/**
 * 
 */
package forkJoinPool;

import java.util.concurrent.ForkJoinPool;
import java.util.concurrent.RecursiveAction;
import java.util.concurrent.TimeUnit;

/**
 * @author liuchaojun
 * @date 2018-9-10 下午02:57:29
 * 
 * RecursiveAction  无返回值的
 * 
 */
public class PrintTask extends RecursiveAction {

	private static final long serialVersionUID = 1L;
	private static final int INDEX = 50;
	private int start;
	private int end;

	/**
	 * 
	 */
	public PrintTask(int start, int end) {
		// TODO Auto-generated constructor stub
		this.start = start;
		this.end = end;
	}

	/*
	 * (non-Javadoc)
	 * 
	 * @see java.util.concurrent.RecursiveAction#compute()
	 */
	@Override
	protected void compute() {
		if (end - start < INDEX) {
			for (int i = start; i < end; i++) {
				System.out.println(Thread.currentThread().getName() + "----"
						+ i);
			}
		} else {
			int middle = (end + start) / 2;
			PrintTask taskLeft = new PrintTask(start, middle);
			PrintTask taskRight = new PrintTask(middle, end);
			//taskLeft.invoke();执行给定的任务，在完成后返回其结果。
			//并行执行两个“小任务”
/*			taskLeft.fork();
			taskRight.fork();*/
			invokeAll(taskLeft, taskRight);//执行给定的任务
		}
	}

	public static void main(String[] args) throws InterruptedException {
		PrintTask task = new PrintTask(0, 300);
		ForkJoinPool pool = new ForkJoinPool();
		pool.submit(task);
		pool.awaitTermination(2, TimeUnit.SECONDS);//阻塞2秒
		pool.shutdown();
	}
}

运行结果

本机电脑cpu4核，通过上面观察线程名称，可以看出4个cpu都在进行

 

案列二：通过多线程分多个小任务进行数据累加  返回结果集

package forkJoinPool;
import java.util.Random;
import java.util.concurrent.ForkJoinPool;
import java.util.concurrent.Future;
import java.util.concurrent.RecursiveTask;
import java.util.concurrent.TimeUnit;

/**
 * @author liuchaojun
 * @date 2018-9-10 下午03:50:24
 */
public class PrintTask2 {
	public static void main(String[] args) throws Exception {
		int[] arr = new int[200];
		Random r = new Random();
		int tempSum = 0;// 普通总数
		for (int i = 0; i < arr.length; i++) {
			tempSum += (arr[i] = r.nextInt(10));
		}
		System.out.println("普通总数结果为:" + tempSum);

		ForkJoinPool pool = new ForkJoinPool();
		MyTask task = new MyTask(0, arr.length, arr);
		Future sum = pool.submit(task);
		System.out.println("多线程的执行结果：" + sum.get());// get 如果需要，等待计算完成，然后检索其结果。
		pool.awaitTermination(2, TimeUnit.SECONDS);
		pool.shutdown(); // 关闭线程池
	}
}

class MyTask extends RecursiveTask {
	private static final long serialVersionUID = 1L;
	private static final int INDEX = 50;// 每个小任务执行50个
	private int start;
	private int end;
	private int arr[];

	/**
	 * @param start
	 * @param end
	 * @param arr
	 */
	public MyTask(int start, int end, int[] arr) {

		this.start = start;
		this.end = end;
		this.arr = arr;
	}

	/*
	 * (non-Javadoc)
	 * 
	 * @see java.util.concurrent.RecursiveTask#compute()
	 */
	@Override
	protected Integer compute() {
		int sum = 0;
		if (end - start < INDEX) {
			for (int i = start; i < end; i++) {
				sum += arr[i];
			}
			return sum;
		} else {
			int middle = (end + start) / 2;
			MyTask taskLeft2 = new MyTask(start, middle, arr);
			MyTask taskRight2 = new MyTask(middle, end, arr);
			/*invokeAll(taskLeft2, taskRight2);*/
			taskLeft2.fork();
			taskRight2.fork();
			int leftValue = taskLeft2.join();// 当计算完成时返回计算结果。
			int rightValue = taskRight2.join();
			return leftValue + rightValue;
		}
	}
}

运行结果： 

提供一些API 的方法，可以参考下

ForkJoinPool类

• • 构造方法摘要

    Constructors 

    构造方法与描述
    ForkJoinPool() Creates a ForkJoinPool with parallelism equal to Runtime.availableProcessors(), using the default thread factory, no UncaughtExceptionHandler, and non-async LIFO processing mode.
    ForkJoinPool(int parallelism) Creates a ForkJoinPool with the indicated parallelism level, the default thread factory, no UncaughtExceptionHandler, and non-async LIFO processing mode.
    ForkJoinPool(int parallelism, ForkJoinPool.ForkJoinWorkerThreadFactory factory, Thread.UncaughtExceptionHandler handler, boolean asyncMode) Creates a ForkJoinPool with the given parameters.

  • 方法摘要

    Methods 

    修饰符与类型	方法与描述
    boolean	awaitTermination(long timeout, TimeUnit unit) Blocks until all tasks have completed execution after a shutdown request, or the timeout occurs, or the current thread is interrupted, whichever happens first.
    protected int	drainTasksTo(Collection> c) Removes all available unexecuted submitted and forked tasks from scheduling queues and adds them to the given collection, without altering their execution status.
    void	execute(ForkJoinTask task) Arranges for (asynchronous) execution of the given task.
    void	execute(Runnable task) Executes the given command at some time in the future.
    int	getActiveThreadCount() Returns an estimate of the number of threads that are currently stealing or executing tasks.
    boolean	getAsyncMode() Returns true if this pool uses local first-in-first-out scheduling mode for forked tasks that are never joined.
    ForkJoinPool.ForkJoinWorkerThreadFactory	getFactory() Returns the factory used for constructing new workers.
    int	getParallelism() Returns the targeted parallelism level of this pool.
    int	getPoolSize() Returns the number of worker threads that have started but not yet terminated.
    int	getQueuedSubmissionCount() Returns an estimate of the number of tasks submitted to this pool that have not yet begun executing.
    long	getQueuedTaskCount() Returns an estimate of the total number of tasks currently held in queues by worker threads (but not including tasks submitted to the pool that have not begun executing).
    int	getRunningThreadCount() Returns an estimate of the number of worker threads that are not blocked waiting to join tasks or for other managed synchronization.
    long	getStealCount() Returns an estimate of the total number of tasks stolen from one thread's work queue by another.
    Thread.UncaughtExceptionHandler	getUncaughtExceptionHandler() Returns the handler for internal worker threads that terminate due to unrecoverable errors encountered while executing tasks.
    boolean	hasQueuedSubmissions() Returns true if there are any tasks submitted to this pool that have not yet begun executing.
    T	invoke(ForkJoinTask task) Performs the given task, returning its result upon completion.
    List>	invokeAll(Collection> tasks) Executes the given tasks, returning a list of Futures holding their status and results when all complete.
    boolean	isQuiescent() Returns true if all worker threads are currently idle.
    boolean	isShutdown() Returns true if this pool has been shut down.
    boolean	isTerminated() Returns true if all tasks have completed following shut down.
    boolean	isTerminating() Returns true if the process of termination has commenced but not yet completed.
    static void	managedBlock(ForkJoinPool.ManagedBlocker blocker) Blocks in accord with the given blocker.
    protected  RunnableFuture	newTaskFor(Callable callable) Returns a RunnableFuture for the given callable task.
    protected  RunnableFuture	newTaskFor(Runnable runnable, T value) Returns a RunnableFuture for the given runnable and default value.
    protected ForkJoinTask	pollSubmission() Removes and returns the next unexecuted submission if one is available.
    void	shutdown() Initiates an orderly shutdown in which previously submitted tasks are executed, but no new tasks will be accepted.
    List	shutdownNow() Attempts to cancel and/or stop all tasks, and reject all subsequently submitted tasks.
    ForkJoinTask	submit(Callable task) Submits a value-returning task for execution and returns a Future representing the pending results of the task.
    ForkJoinTask	submit(ForkJoinTask task) Submits a ForkJoinTask for execution.
    ForkJoinTask	submit(Runnable task) Submits a Runnable task for execution and returns a Future representing that task.
    ForkJoinTask	submit(Runnable task, T result) Submits a Runnable task for execution and returns a Future representing that task.
    String	toString() Returns a string identifying this pool, as well as its state, including indications of run state, parallelism level, and worker and task counts.

• ExecutorService接口

• • 方法摘要

    Methods 

    修饰符与类型	方法与描述
    boolean	awaitTermination(long timeout, TimeUnit unit) Blocks until all tasks have completed execution after a shutdown request, or the timeout occurs, or the current thread is interrupted, whichever happens first.
    List>	invokeAll(Collection> tasks) Executes the given tasks, returning a list of Futures holding their status and results when all complete.
    List>	invokeAll(Collection> tasks, long timeout, TimeUnit unit) Executes the given tasks, returning a list of Futures holding their status and results when all complete or the timeout expires, whichever happens first.
    T	invokeAny(Collection> tasks) Executes the given tasks, returning the result of one that has completed successfully (i.e., without throwing an exception), if any do.
    T	invokeAny(Collection> tasks, long timeout, TimeUnit unit) Executes the given tasks, returning the result of one that has completed successfully (i.e., without throwing an exception), if any do before the given timeout elapses.
    boolean	isShutdown() Returns true if this executor has been shut down.
    boolean	isTerminated() Returns true if all tasks have completed following shut down.
    void	shutdown() Initiates an orderly shutdown in which previously submitted tasks are executed, but no new tasks will be accepted.
    List	shutdownNow() Attempts to stop all actively executing tasks, halts the processing of waiting tasks, and returns a list of the tasks that were awaiting execution.
    Future	submit(Callable task) Submits a value-returning task for execution and returns a Future representing the pending results of the task.
    Future	submit(Runnable task) Submits a Runnable task for execution and returns a Future representing that task.
    Future	submit(Runnable task, T result) Submits a Runnable task for execution and returns a Future representing that task.

• 总结

1，invokeAll(task)方法，主动执行其它的ForkJoinTask，并等待Task完成。（同步的）

2，fork方法，让一个task执行（异步的）

3，join方法，让一个task执行（同步的，它和fork不同点是同步或者异步的区别）

4，可以使用join来取得ForkJoinTask的返回值。由于RecursiveTask类实现了Future接口，所以也可以使用get()取得返回值。 
get()和join()有两个主要的区别： 
join()方法不能被中断。如果你中断调用join()方法的线程，这个方法将抛出InterruptedException异常。 
如果任务抛出任何未受检异常，get()方法将返回一个ExecutionException异常，而join()方法将返回一个RuntimeException异常。

5，ForkJoinTask在不显示使用ForkJoinPool.execute/invoke/submit()方法进行执行的情况下，也可以使用自己的fork/invoke方法进行执行。 
使用fork/invoke方法执行时，其实原理也是在ForkJoinPool里执行，只不过使用的是一个“在ForkJoinPool内部生成的静态的”ForkJoinPool。

6，ForkJoinTask有两个子类，RecursiveAction和RecursiveTask。他们之间的区别是，RecursiveAction没有返回值，RecursiveTask有返回值。

7，看看ForkjoinTask的Complete方法的使用场景 
这个方法好要是用来使一个任务结束。这个方法被用在结束异步任务上，或者为那些能不正常结束的任务，提供一个选择。

8，Task的completeExceptionally方法是怎么回事。 
这个方法被用来，在异步的Task中产生一个exception，或者强制结束那些“不会结束”的任务 
这个方法是在Task想要“自己结束自己”时，可以被使用。而cancel方法，被设计成被其它TASK调用。 
当你在一个任务中抛出一个未检查异常时，它也影响到它的父任务（把它提交到ForkJoinPool类的任务）和父任务的父任务，以此类推。

9，可以使用ForkJoinPool.execute(异步，不返回结果)、invoke(同步，返回结果)、submit(异步，返回结果)方法，来执行ForkJoinTask。

10，ForkJoinPool有一个方法commonPool()，这个方法返回一个ForkJoinPool内部声明的静态ForkJoinPool实例。 在jdk1.8里面才有。文档上说，这个方法适用于大多数的应用。这个静态实例的初始线程数，为“CPU核数-1 ”（Runtime.getRuntime().availableProcessors() - 1）。 
ForkJoinTask自己启动时，使用的就是这个静态实例。