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这期内容当中小编将会给大家带来有关如何基于AQS写CountDownLatch,文章内容丰富且以专业的角度为大家分析和叙述,阅读完这篇文章希望大家可以有所收获。
import java.util.concurrent.TimeUnit; import java.util.concurrent.locks.AbstractQueuedSynchronizer; /** * Created by yzy on 2018/10/31. */ public class MyCountDownLatch { /** * Synchronization control For CountDownLatch. * Uses AQS state to represent count. */ private static final class Sync extends AbstractQueuedSynchronizer { private static final long serialVersionUID = 4982264981922014374L; Sync(int count) { setState(count); } int getCount() { return getState(); } @Override protected int tryAcquireShared(int acquires) { return (getState() == 0) ? 1 : -1; } @Override protected boolean tryReleaseShared(int releases) { // Decrement count; signal when transition to zero for (;;) { int c = getState(); if (c == 0) return false; int nextc = c-1; if (compareAndSetState(c, nextc)) return nextc == 0; } } } private final Sync sync; public MyCountDownLatch(int count) { if (count < 0) throw new IllegalArgumentException("count < 0"); this.sync = new Sync(count); } public void await() throws InterruptedException { sync.acquireSharedInterruptibly(1); } public boolean await(long timeout, TimeUnit unit) throws InterruptedException { return sync.tryAcquireSharedNanos(1, unit.toNanos(timeout)); } public void countDown() { sync.releaseShared(1); } public long getCount() { return sync.getCount(); } public String toString() { return super.toString() + "[Count = " + sync.getCount() + "]"; } }
上述就是小编为大家分享的如何基于AQS写CountDownLatch了,如果刚好有类似的疑惑,不妨参照上述分析进行理解。如果想知道更多相关知识,欢迎关注亿速云行业资讯频道。
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