并发执行利用了线程的手段,可以提高执行效率,这里用一个简单的例子来进行简单对比
public class ThreadDemo2 {
private static long count = 100_0000_0000L;
public static void main(String[] args) {
// serial();
concurrency();
}
//1.如果采用串行执行 大概是10s
private static void serial() {
long bed = System.currentTimeMillis();//时间戳//1970年1月1日0时0分0s为基准时刻,计算按当时的时刻和基准时刻之间的秒数只差
int a = 0;
for (long i = 0; i < count; i++){
a++;
}
int b = 0;
for (long i = 0; i < count ;i++){
b++;
}
long end = System.currentTimeMillis();
System.out.println("time:" + (end-bed) + "ms");
}
}
串行执行的方法效率较低,此程序运行结果为: 可以看待时间为:8369ms
public class ThreadDemo2 {
private static long count = 100_0000_0000L;
public static void main(String[] args) {
serial();
concurrency();
}
//2.创建线程来并发执行完成 3858ms
private static void concurrency() {
long beg = System.currentTimeMillis();
//匿名内部类
Thread t1 = new Thread(){
@Override
public void run() {
int a = 0;
for (long i = 0; i < count; i++){
a++;
}
}
};
Thread t2 = new Thread(){
@Override
public void run() {
int b = 0;
for (long i = 0; i < count; i++){
b++;
}
}
};
t1.start();
t2.start();
try {
//线程等待,让主线程等待t1和t2执行结束,然后再继续往下执行
t1.join();
t2.join();
} catch (InterruptedException e) {
e.printStackTrace();
}
long end = System.currentTimeMillis();
System.out.println("time:"+ (end-beg) + "ms");
}
}
利用线程来并发执行的方法效率较高,此程序运行结果为: 可以看待时间为:3858ms