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CountDownLatchExample.java
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package JavaBasic;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
/**
* @Classname CountDownLatchExample
* @Description TODO
* @Date 19-7-7 上午8:49
* @Created by mao<tianmao818@qq.com>
*/
public class CountDownLatchExample {
// 请求的数量
private static final int threadCount = 5500;
public static void main(String[] args) throws InterruptedException {
// 创建一个具有固定线程数量的线程池对象（如果这里线程池的线程数量给太少的话你会发现执行的很慢）
ExecutorService threadPool = Executors.newFixedThreadPool(5500);
long startTime1 = System.currentTimeMillis();
final CountDownLatch countDownLatch = new CountDownLatch(threadCount);
for (int i = 0; i < threadCount; i++) {
final int threadnum = i;
threadPool.execute(() -> {// Lambda 表达式的运用
try {
test("test1",threadnum);
} catch (InterruptedException e) {
// TODO Auto-generated catch block
e.printStackTrace();
} finally {
countDownLatch.countDown();// 表示一个请求已经被完成
}
});
}
countDownLatch.await();
long endTime1 = System.currentTimeMillis();
System.out.println("finish:"+(endTime1-startTime1));
threadPool.shutdown();
// 不使用线程池
long startTime2=System.currentTimeMillis();
final CountDownLatch countDownLatch2 = new CountDownLatch(threadCount);
for (int i = 0; i < threadCount; i++) {
final int threadnum = i;
// new Thread(){
// public void run(){
// try {
// test("test2",threadnum);
// } catch (InterruptedException e) {
// // TODO Auto-generated catch block
// e.printStackTrace();
// } finally {
// countDownLatch2.countDown();
// }
// }
// }.start();
new Thread(
new Runnable() {
@Override
public void run() {
try {
test("test2",threadnum);
} catch (InterruptedException e) {
// TODO Auto-generated catch block
e.printStackTrace();
} finally {
countDownLatch2.countDown();
}
}
}
).start();
}
countDownLatch2.await();
long endTime2=System.currentTimeMillis();
System.out.println("finish:"+(endTime2-startTime2));
}
public static void test(String s,int threadnum) throws InterruptedException {
Thread.sleep(10000);// 模拟请求的耗时操作
System.out.println("threadnum:" + threadnum+","+s);
Thread.sleep(10000);// 模拟请求的耗时操作
}
}