Java多线程:选择太多

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英文:

Java Multithreading: Too many options

问题

我一直在研究数独求解器/生成器,以便开始使用Java。求解和生成是在后台使用SwingWorker进行的。现在,我想要进行批量生成,即程序会生成许多数独(数十个或数百个)。因此,我希望尽可能多地利用计算机上的线程,而不仅仅是一个线程。然后,我将需要与可用线程数量相同的SwingWorker实例。但这会引发问题,因为SwingWorker一次只能有10个实例。因此,我想要另一个解决方案来解决这个问题。

我已经研究了多线程选项,似乎有太多了:Thread、Runnable、Callable、ExecutorService、SwingWorker等等。我想知道,哪个最适合我的目的。

我也读过实现Runnable要比扩展Thread好。

我需要传递数据,然后在另一个线程上开始执行,当它完成时,我希望通知感兴趣的监听器,然后它们可以请求数据。我在考虑可以创建一个Runnable,使用volatile变量,我还可以取消执行,并在执行结束时使用SwingUtilities.invokeLater()通知监听器。我还希望根据需要多次重新启动这个循环。

SwingWorker不行,因为它在实例数量上受限,而且不能重新启动。

数独算法我已经做得很好了,我只需要将生成算法封装到某个东西中,以使其支持多线程。

英文:

I have been working on sudoku solver/generator to get started with Java. The solving and generation is done in background using SwingWorker. Now I want to have batch generation, where the program would generate many sudokus (tens or hundreds). Therefore, I want to use as many threads on a computer as possible, not just one. I would then need as many SwingWorker instances as there are threads available. Which will cause problems since SwingWorker is limited to 10 instances at a time. Therefore I want another solution to this problem.

I have looked into multithreading options and there seems to be too many of them: Thread, Runnable, Callable, ExecutorService, SwingWorker,.... I want to know, which one is best suited for my purpose.

I have also read about implementing a Runnable is better than extending a Thread.

I need to pass data, then start the execution on another thread, and when it finishes, I want to notify interested listeners, that can then request data. I was thinking I could create a Runnable, using a volatile variable I could also cancel the execution, and at the end of the execution, notify listeners using SwingUtilities.invokeLater(). I also want to restart this cycle as many times as needed.

SwingWorker is out because it is limited in number of instances and cannot be restarted.

I have the sudoku algorithms working fine, I just need to wrap the generation algorithms in something to make it support multithreading.

答案1

得分: 1

以下是翻译好的内容:

线程(Thread):一个代表线程的类,同时实现了Runnable接口。出于多重继承的原因之一,最好实现Runnable,因为Java不允许类的多重继承,但允许接口的多重继承。

可运行(Runnable):一个函数式接口,您在其中指定在线程上要执行的操作,使用run()方法。确保将可运行对象作为new Thread(runnable).start()来运行。如果不需要返回值,这是一个很好的选择。

可调用(Callable):类似于可运行,但您可以获得返回值。同样,它是一个具有call()方法的函数式接口,该方法返回类型为T的值。您将获得一个Future<T>对象,当您调用future.get()(这是一个阻塞调用)时,它会保存一个获取值的承诺。

ExecutorService:生成线程的成本很高,如果您反复执行此操作,考虑使用此功能并重用线程。在Executors类中有一些值得检查的模板线程池,如newSingleThreadExecutor()newFixedThreadPool(threadCount)newCachedThreadPool()(这是无界的!)。

一些值得查看的好的Stack Overflow帖子:

  1. Java中Runnable和Callable接口的区别
  2. 使用ExecutorService的优点是什么?
  3. Executors.newCachedThreadPool()与Executors.newFixedThreadPool()之间的区别
英文:

Here's a cheat sheet which I like to use.

Thread: A class which embodies a thread, which also happens to implement Runnable. It's better to implement Runnable for several reasons, one of them being Java disallows multiple inheritance for classes but does allow it for interfaces.

Runnable: A functional interface where you specify what to do on your thread in a run() method. Make sure you run your runnable as new Thread(runnable).start(). Good choice if you don't need a return value.

Callable: Similar to Runnable but you can get a return value. Again, a functional interface with a call() method which returns type T. You get a Future<T> object which holds a promise to get a value when you do future.get() (which is a blocking call)

ExecutorService: Spawning threads is expensive, if you're doing it over and over, consider using this and reusing the threads. There are a few template thread pools worth checking out in the Executors class like newSingleThreadExecutor(), newFixedThreadPool(threadCount) and newCachedThreadPool() (this is unbounded!).

Some good SO posts worth checking out:

  1. The difference between the Runnable and Callable interfaces in Java
  2. What are the advantages of using an ExecutorService?
  3. Executors.newCachedThreadPool() versus Executors.newFixedThreadPool()

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  • 本文由 发表于 2020年9月12日 19:12:00
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