首页  

自旋锁要点及简单实例     所属分类 java 浏览量 1449
自旋锁 SPIN LOCK
当线程尝试获取某个锁时,如果该锁已被其他线程占用,就一直循环检测锁是否被释放,而不是进入线程挂起或睡眠状态。
自旋锁适用于锁竞争不激烈很快能获取到锁的场景
否则会陷入长时间的循环检测等待,白白消耗cpu


简单实现关键代码

private AtomicReference owner = new AtomicReference();

	public void lock() {
		Thread currentThread = Thread.currentThread();
		// 抢占锁成功,设置当前线程为锁的拥有者
		while (!owner.compareAndSet(null, currentThread)) {
		}
	}

	public void unlock() {
		Thread currentThread = Thread.currentThread();
		// 只有锁的拥有者才能释放锁
		owner.compareAndSet(currentThread, null);
	}

测试输出结果

thread-5 get lock success,1557290490243
thread-5 run done,time=40,1557290490287


thread-3 get lock success,1557290490287
thread-3 run done,time=230,1557290490522


thread-6 get lock success,1557290490522
thread-6 run done,time=380,1557290490902


成对输出 



简单实现及测试完整代码



import java.util.Random; import java.util.concurrent.atomic.AtomicReference; public class SimpleSpinLock { private static final SimpleSpinLock lock = new SimpleSpinLock(); private static final Random rand = new Random(); public static void main(String[] args) throws Exception { int num = 10; for(int i=0;i owner = new AtomicReference(); public void lock() { Thread currentThread = Thread.currentThread(); // 抢占锁成功,设置当前线程为锁的拥有者 while (!owner.compareAndSet(null, currentThread)) { } } public void unlock() { Thread currentThread = Thread.currentThread(); // 只有锁的拥有者才能释放锁 owner.compareAndSet(currentThread, null); } private static class SpinLockTestThread extends Thread { public SpinLockTestThread(int index) { setName("thread-" + index); } public void run() { while (true) { lock.lock(); System.out.println(getName()+" get lock success,"+System.currentTimeMillis()); try { // 模拟业务方法执行耗时 long time = 5 + rand.nextInt(500); Thread.sleep(time); System.out.println(getName()+" run done,time="+time+","+System.currentTimeMillis()+"\n\n"); } catch (Throwable e) { System.out.println(getName()+" run error,"+System.currentTimeMillis()+","+e+"\n\n"); } lock.unlock(); } } } }

上一篇     下一篇
DirectByteBuffer申请与释放

一行代码摧毁jvm

unix/linux基本理念和准则

rocketmq要点

Docker和K8S

docker安装和使用