Java如何实现等待所有子线程完成再继续运行呢?
下文笔者讲述使用java代码实现子进程都运行完毕后,程序继续向下运行的方法分享,如下所示
如:
10
在子线程调用countDown()时计数减1
直到为0时
await()方法才不会阻塞
子线程运行完毕后,继续向下运行的实现思路: 方式1: 使用Thread.join()方法 方式2: 使用CountDownLatch()进行计数统计 方式3: 使用CyclicBarrier进行计数统计 方式4: 使用executorService相关方法
Thread之join方法
Thread提供的方法 调用join()时 会阻塞主线程 等该Thread完成才会继续执行
private static void threadJoin() { list<Thread> threads = new ArrayList<>(); for (int i = 0; i < NUM; i++) { Thread t = new Thread(new PkslowTask("Task " + i)); t.start(); threads.add(t); } threads.forEach(t -> { try { t.join(); } catch (InterruptedException e) { throw new RuntimeException(e); } }); System.out.println("threadJoin Finished All Tasks..."); } -----运行以上代码,将输出以下信息---- Task 6 is running Task 9 is running Task 3 is running Task 4 is running Task 7 is running Task 0 is running Task 2 is running Task 1 is running Task 5 is running Task 8 is running Task 1 is completed Task 8 is completed Task 6 is completed Task 4 is completed Task 3 is completed Task 0 is completed Task 7 is completed Task 9 is completed Task 2 is completed Task 5 is completed threadJoin Finished All Tasks...
CountDownLatch
CountDownLatch可在初始化时指定线程数如:
10
在子线程调用countDown()时计数减1
直到为0时
await()方法才不会阻塞
private static void countDownLatch() { CountDownLatch latch = new CountDownLatch(NUM); for (int i = 0; i < NUM; i++) { Thread t = new Thread(() -> { System.out.println("countDownLatch running..."); try { Thread.sleep(1000); System.out.println("countDownLatch Finished..."); latch.countDown(); } catch (InterruptedException e) { throw new RuntimeException(e); } }); t.start(); } try { latch.await(); } catch (InterruptedException e) { throw new RuntimeException(e); } System.out.println("countDownLatch Finished All Tasks..."); } -----运行以上代码,将输出以下信息----- countDownLatch running... countDownLatch running... countDownLatch running... countDownLatch running... countDownLatch running... countDownLatch running... countDownLatch running... countDownLatch running... countDownLatch running... countDownLatch running... countDownLatch Finished... countDownLatch Finished... countDownLatch Finished... countDownLatch Finished... countDownLatch Finished... countDownLatch Finished... countDownLatch Finished... countDownLatch Finished... countDownLatch Finished... countDownLatch Finished... countDownLatch Finished All Tasks...
CyclicBarrier
CyclicBarrier同CountDownLatch类似 CyclicBarrier可重置,可重用
private static void cyclicBarrier() { CyclicBarrier barrier = new CyclicBarrier(NUM + 1); for (int i = 0; i < NUM; i++) { Thread t = new Thread(() -> { System.out.println("cyclicBarrier running..."); try { Thread.sleep(1000); System.out.println("cyclicBarrier Finished..."); barrier.await(); } catch (InterruptedException | BrokenBarrierException e) { throw new RuntimeException(e); } }); t.start(); } try { barrier.await(); } catch (InterruptedException | BrokenBarrierException e) { throw new RuntimeException(e); } System.out.println("cyclicBarrier Finished All Tasks..."); } -----运行以上代码,将输出以下信息----- cyclicBarrier running... cyclicBarrier running... cyclicBarrier running... cyclicBarrier running... cyclicBarrier running... cyclicBarrier running... cyclicBarrier running... cyclicBarrier running... cyclicBarrier running... cyclicBarrier running... cyclicBarrier Finished... cyclicBarrier Finished... cyclicBarrier Finished... cyclicBarrier Finished... cyclicBarrier Finished... cyclicBarrier Finished... cyclicBarrier Finished... cyclicBarrier Finished... cyclicBarrier Finished... cyclicBarrier Finished... cyclicBarrier Finished All Tasks...
executorService.isTerminated()
ExecutorService调用shutdown()方法后 可使用方法isTerminated()来判断任务是否完成
private static void executeServiceIsTerminated() { ExecutorService executorService = Executors.newFixedThreadPool(THREADS); IntStream.range(0, NUM) .forEach(i -> executorService.execute(new PkslowTask("Task " + i))); executorService.shutdown(); while (!executorService.isTerminated()) { //waiting... } System.out.println("executeServiceIsTerminated Finished All Tasks..."); } -----运行以上代码,将输出以下信息------ Task 0 is running Task 2 is running Task 1 is running Task 3 is running Task 4 is running Task 0 is completed Task 2 is completed Task 5 is running Task 4 is completed Task 7 is running Task 3 is completed Task 1 is completed Task 8 is running Task 6 is running Task 9 is running Task 5 is completed Task 9 is completed Task 7 is completed Task 6 is completed Task 8 is completed executeServiceIsTerminated Finished All Tasks...
executorService.awaitTermination
executorService.awaitTermination方法 等待任务完成,并给一个超时时间
private static void executeServiceAwaitTermination() { ExecutorService executorService = Executors.newFixedThreadPool(THREADS); IntStream.range(0, NUM) .forEach(i -> executorService.execute(new PkslowTask("Task " + i))); executorService.shutdown(); try { if (!executorService.awaitTermination(1, TimeUnit.MINUTES)) { executorService.shutdownNow(); } } catch (InterruptedException e) { throw new RuntimeException(e); } System.out.println("executeServiceAwaitTermination Finished All Tasks..."); } -----运行以上代码,将输出以下信息----- Task 0 is running Task 1 is running Task 2 is running Task 3 is running Task 4 is running Task 0 is completed Task 5 is running Task 1 is completed Task 4 is completed Task 7 is running Task 3 is completed Task 8 is running Task 2 is completed Task 9 is running Task 6 is running Task 5 is completed Task 7 is completed Task 9 is completed Task 8 is completed Task 6 is completed executeServiceAwaitTermination Finished All Tasks...
executorService.invokeAll
使用invokeAll方法提交所有任务private static void executeServiceInvokeAll() { ExecutorService executorService = Executors.newFixedThreadPool(THREADS); List<Callable<Void>> tasks = new ArrayList<>(); IntStream.range(0, NUM) .forEach(i -> tasks.add(new PkslowTask("Task " + i))); try { executorService.invokeAll(tasks); } catch (InterruptedException e) { throw new RuntimeException(e); } executorService.shutdown(); System.out.println("executeServiceInvokeAll Finished All Tasks..."); } -----运行以上代码,将输出以下信息----- Task 1 is running Task 2 is running Task 0 is running Task 3 is running Task 4 is running Task 1 is completed Task 3 is completed Task 0 is completed Task 2 is completed Task 4 is completed Task 8 is running Task 5 is running Task 6 is running Task 9 is running Task 7 is running Task 8 is completed Task 5 is completed Task 6 is completed Task 9 is completed Task 7 is completed executeServiceInvokeAll Finished All Tasks...
ExecutorCompletionService
ExecutorCompletionService通过take()方法,会返回最早完成的任务
private static void executorCompletionService() { ExecutorService executorService = Executors.newFixedThreadPool(10); CompletionService<String> service = new ExecutorCompletionService<>(executorService); List<Callable<String>> callables = new ArrayList<>(); callables.add(new DelayedCallable(2000, "2000ms")); callables.add(new DelayedCallable(1500, "1500ms")); callables.add(new DelayedCallable(6000, "6000ms")); callables.add(new DelayedCallable(2500, "2500ms")); callables.add(new DelayedCallable(300, "300ms")); callables.add(new DelayedCallable(3000, "3000ms")); callables.add(new DelayedCallable(1100, "1100ms")); callables.add(new DelayedCallable(100, "100ms")); callables.add(new DelayedCallable(100, "100ms")); callables.add(new DelayedCallable(100, "100ms")); callables.forEach(service::submit); for (int i = 0; i < NUM; i++) { try { Future<String> future = service.take(); System.out.println(future.get() + " task is completed"); } catch (InterruptedException | ExecutionException e) { throw new RuntimeException(e); } } System.out.println("executorCompletionService Finished All Tasks..."); executorService.shutdown(); awaitTerminationAfterShutdown(executorService); } ----这里不同任务的时长是不一样的,但会先返回最早完成的任务: 2000ms is running 2500ms is running 300ms is running 1500ms is running 6000ms is running 3000ms is running 1100ms is running 100ms is running 100ms is running 100ms is running 100ms is completed 100ms is completed 100ms task is completed 100ms task is completed 100ms is completed 100ms task is completed 300ms is completed 300ms task is completed 1100ms is completed 1100ms task is completed 1500ms is completed 1500ms task is completed 2000ms is completed 2000ms task is completed 2500ms is completed 2500ms task is completed 3000ms is completed 3000ms task is completed 6000ms is completed 6000ms task is completed executorCompletionService Finished All Tasks...
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