通过使用CountDownLatch,可以阻塞线程,直到其他线程完成给定的任务。
CountDownLatch有一个计数器字段,该值与我们想要处理的线程数相同。然后,可以在每个线程完成后调用countdown(),保证调用await()的依赖线程将阻塞,直到工作线程完成。
让我们通过创建一个Worker并使用CountDownLatch字段在完成时发出信号来尝试这种模式:
public class Worker implements Runnable {
private List outputScraper;
private CountDownLatch countDownLatch;
public Worker(List outputScraper, CountDownLatch countDownLatch) {
this.outputScraper = outputScraper;
this.countDownLatch = countDownLatch;
}
@Override
public void run() {
doSomeWork();
outputScraper.add("Counted down");
countDownLatch.countDown();
}
}
创建一个测试,验证可以获得CountDownLatch来等待Worker实例完成:
@Test
public void whenParallelProcessing_thenMainThreadWillBlockUntilCompletion()
throws InterruptedException {
List outputScraper = Collections.synchronizedList(new ArrayList<>());
CountDownLatch countDownLatch = new CountDownLatch(5);
List workers = Stream
.generate(() -> new Thread(new Worker(outputScraper, countDownLatch)))
.limit(5)
.collect(toList());
workers.forEach(Thread::start);
countDownLatch.await();
outputScraper.add("Latch released");
assertThat(outputScraper)
.containsExactly(
"Counted down",
"Counted down",
"Counted down",
"Counted down",
"Counted down",
"Latch released"
);
}
如果启动了数千个线程,那么很可能许多前面的线程在我们对后面的线程调用start()之前就已经完成了处理。这可能会使尝试和再现并发问题变得困难,因为我们无法使所有线程并行运行。
为了解决这个问题,可以使用CountdownLatch阻塞每个子线程,直到所有其他子线程都开始。
public class WaitingWorker implements Runnable {
private List outputScraper;
private CountDownLatch readyThreadCounter;
private CountDownLatch callingThreadBlocker;
private CountDownLatch completedThreadCounter;
public WaitingWorker(
List outputScraper,
CountDownLatch readyThreadCounter,
CountDownLatch callingThreadBlocker,
CountDownLatch completedThreadCounter) {
this.outputScraper = outputScraper;
this.readyThreadCounter = readyThreadCounter;
this.callingThreadBlocker = callingThreadBlocker;
this.completedThreadCounter = completedThreadCounter;
}
@Override
public void run() {
readyThreadCounter.countDown();
try {
callingThreadBlocker.await();
doSomeWork();
outputScraper.add("Counted down");
} catch (InterruptedException e) {
e.printStackTrace();
} finally {
completedThreadCounter.countDown();
}
}
}
修改测试用例,使其阻塞直到所有Workers都开始,取消阻塞Workers,然后阻塞直到Workers完成:
@Test
public void whenDoingLotsOfThreadsInParallel_thenStartThemAtTheSameTime()
throws InterruptedException {
List outputScraper = Collections.synchronizedList(new ArrayList<>());
CountDownLatch readyThreadCounter = new CountDownLatch(5);
CountDownLatch callingThreadBlocker = new CountDownLatch(1);
CountDownLatch completedThreadCounter = new CountDownLatch(5);
List workers = Stream
.generate(() -> new Thread(new WaitingWorker(
outputScraper, readyThreadCounter, callingThreadBlocker, completedThreadCounter)))
.limit(5)
.collect(toList());
workers.forEach(Thread::start);
readyThreadCounter.await();
outputScraper.add("Workers ready");
callingThreadBlocker.countDown();
completedThreadCounter.await();
outputScraper.add("Workers complete");
assertThat(outputScraper)
.containsExactly(
"Workers ready",
"Counted down",
"Counted down",
"Counted down",
"Counted down",
"Counted down",
"Workers complete"
);
}
这种模式对于尝试重现并发错误非常有用,因为它可以用来迫使数千个线程尝试并行执行一些逻辑。
有时,可能会遇到这样一种情况,即Workers在倒计时之前错误地终止。这可能导致永远不会达到零,await()永远不会终止:
@Override
public void run() {
if (true) {
throw new RuntimeException("Oh dear, I'm a BrokenWorker");
}
countDownLatch.countDown();
outputScraper.add("Counted down");
}
为了解决这个问题,await()的调用可添加一个超时参数。
boolean completed = countDownLatch.await(3L, TimeUnit.SECONDS);
assertThat(completed).isFalse();
CountDownLatch用来阻塞线程,直到其他线程完成一些处理的业务场景。
页面更新:2024-03-06
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