我需要一次执行一定数量的任务4,就像这样:

ExecutorService taskExecutor = Executors.newFixedThreadPool(4);
while(...) {
    taskExecutor.execute(new MyTask());
}
//...wait for completion somehow

当所有这些都完成后,我如何得到通知?现在我想不出比设置一些全局任务计数器更好的方法,并在每个任务结束时减少它,然后在无限循环中监视这个计数器变成0;或获取一个期货列表,并在无限循环监视器isDone为所有它们。不涉及无限循环的更好的解决方案是什么?

谢谢。


当前回答

这里有两个选择,只是有点困惑,哪个是最好的。

选项1:

ExecutorService es = Executors.newFixedThreadPool(4);
List<Runnable> tasks = getTasks();
CompletableFuture<?>[] futures = tasks.stream()
                               .map(task -> CompletableFuture.runAsync(task, es))
                               .toArray(CompletableFuture[]::new);
CompletableFuture.allOf(futures).join();    
es.shutdown();

选项2:

ExecutorService es = Executors.newFixedThreadPool(4);
List< Future<?>> futures = new ArrayList<>();
for(Runnable task : taskList) {
    futures.add(es.submit(task));
}

for(Future<?> future : futures) {
    try {
        future.get();
    }catch(Exception e){
        // do logging and nothing else
    }
}
es.shutdown();

这里放入future.get();试抓是个好主意,对吧?

其他回答

Project Loom的AutoCloseable执行器服务上的Try-with-Resources语法

Project Loom试图为Java中的并发能力添加新特性。

其中一个特性是使ExecutorService可自动关闭。这意味着每个ExecutorService实现都将提供一个close方法。这意味着我们可以使用try-with-resources语法自动关闭ExecutorService对象。

executorservice# close方法将阻塞,直到所有提交的任务都完成。使用close代替了调用shutdown & awaitterminate。

自动关闭功能有助于Project Loom将“结构化并发”引入Java。

try (
    ExecutorService executorService = Executors.… ;
) {
    // Submit your `Runnable`/`Callable` tasks to the executor service.
    …
}
// At this point, flow-of-control blocks until all submitted tasks are done/canceled/failed.
// After this point, the executor service will have been automatically shutdown, wia `close` method called by try-with-resources syntax.

有关Project Loom的更多信息,请搜索由Ron Pressler和Project Loom团队的其他人所做的演讲和采访。关注更近期的,如Project Loom的发展。

Project Loom技术的实验版本现在已经可以使用了,它是基于早期的Java 18。

你可以在这个Runner类上调用waitTillDone():

Runner runner = Runner.runner(4); // create pool with 4 threads in thread pool

while(...) {
    runner.run(new MyTask()); // here you submit your task
}


runner.waitTillDone(); // and this blocks until all tasks are finished (or failed)


runner.shutdown(); // once you done you can shutdown the runner

在调用shutdown()之前,您可以重用这个类并多次调用waitTillDone(),而且您的代码非常简单。你也不需要预先知道任务的数量。

要使用它,只需将gradle/maven compile 'com.github.matejtymes:javafixes:1.3.1'依赖项添加到你的项目中。

详情请点击这里:

https://github.com/MatejTymes/JavaFixes

在Java8中,你可以用CompletableFuture来实现:

ExecutorService es = Executors.newFixedThreadPool(4);
List<Runnable> tasks = getTasks();
CompletableFuture<?>[] futures = tasks.stream()
                               .map(task -> CompletableFuture.runAsync(task, es))
                               .toArray(CompletableFuture[]::new);
CompletableFuture.allOf(futures).join();    
es.shutdown();

你可以使用下面的代码:

public class MyTask implements Runnable {

    private CountDownLatch countDownLatch;

    public MyTask(CountDownLatch countDownLatch {
         this.countDownLatch = countDownLatch;
    }

    @Override
    public void run() {
         try {
             //Do somethings
             //
             this.countDownLatch.countDown();//important
         } catch (InterruptedException ex) {
              Thread.currentThread().interrupt();
         }
     }
}

CountDownLatch countDownLatch = new CountDownLatch(NUMBER_OF_TASKS);
ExecutorService taskExecutor = Executors.newFixedThreadPool(4);
for (int i = 0; i < NUMBER_OF_TASKS; i++){
     taskExecutor.execute(new MyTask(countDownLatch));
}
countDownLatch.await();
System.out.println("Finish tasks");

我们可以使用流API来处理流。请参阅下面的片段

final List<Runnable> tasks = ...; //or any other functional interface
tasks.stream().parallel().forEach(Runnable::run) // Uses default pool

//alternatively to specify parallelism 
new ForkJoinPool(15).submit(
          () -> tasks.stream().parallel().forEach(Runnable::run) 
    ).get();