在使用C++的经历中,经常使用多线程(计算密集型),也经常会思考要如何对多线程控制,但没有采用过线程池思想的实现。 在java并发的学习过程中,了解了Java并发组件J.U.C(java.util.concurrent),包含5个包,executor就是线程池的实现类
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Executor
TheadPoolExecutor构造函数
构造函数
ThreadPoolExecutor(int corePoolSize, \
int maximumPoolSize, \
long keepAliveTime,
unit,
BlockingDeque<Runnable> workQueue)
(一) 下面都假设任务队列没有大小限制:
(二)任务队列大小有限时
ExecutorService executorService = Executors.newCachedThreadPool();
public static ExecutorService newCachedThreadPool() {
return new ThreadPoolExecutor(0, Integer.MAX_VALUE,
60L, TimeUnit.SECONDS,
new SynchronousQueue<Runnable>());
}
ExecutorService executorService = Executors.newFixedThreadPool(3);
public static ExecutorService newFixedThreadPool(int nThreads) {
return new ThreadPoolExecutor(nThreads, nThreads,
0L, TimeUnit.MILLISECONDS,
new LinkedBlockingQueue<Runnable>());
}
public static ExecutorService newSingleThreadExecutor() {
return new FinalizableDelegatedExecutorService
(new ThreadPoolExecutor(1, 1,
0L, TimeUnit.MILLISECONDS,
new LinkedBlockingQueue<Runnable>()));
}
public static ScheduledExecutorService newScheduledThreadPool(int corePoolSize) {
return new ScheduledThreadPoolExecutor(corePoolSize);
}
public class AtomicExample1 {
// 请求总数
public static int clientTotal = 5000;
// 同时并发执行的线程数
public static int threadTotal = 200;
public static AtomicInteger count = new AtomicInteger(0);
public static void main(String[] args) throws Exception {
ExecutorService executorService = Executors.newCachedThreadPool();
final Semaphore semaphore = new Semaphore(threadTotal);
final CountDownLatch countDownLatch = new CountDownLatch(clientTotal);
for (int i = 0; i < clientTotal ; i++) {
executorService.execute(() -> {
try {
semaphore.acquire();
add();
semaphore.release();
} catch (Exception e) {
log.error("exception", e);
}
countDownLatch.countDown();
});
}
countDownLatch.await();
executorService.shutdown();
log.info("count:{}", count.get());
}
private static void add() {
count.incrementAndGet();
// count.getAndIncrement();
}
}