多线程

jdk源码解读-并发包-Lock-ReentrantLock(1

2017-08-18  本文已影响44人  陈阳001

介绍:

ReentrantLock 是一个互斥锁,在基本行为和机制上与synchonized一样,只不过synchonized用方法和声明访问了隐式的锁监视器,但是ReentrantLock 做了功能上的扩展。
ReentrantLock 被最后一个成功lock,但是还没unlock的线程拥有。当锁不被其他线程拥有,一个线程会成功的申请锁资源并立即返回。如果当前线程已经拥有了锁,再申请时也会立即返回。通过调用方法isHeldByCurrentThread()获取是否当前线程获得了锁,getHoldCount()得到获得几次锁资源。
此类的构造方法接受一个可选的公平 参数。当设置为 true 时,在多个线程的争用下,这些锁倾向于将访问权授予等待时间最长的线程。否则此锁将无法保证任何特定访问顺序。与采用默认设置(使用不公平锁)相比,使用公平锁的程序在许多线程访问时表现为很低的总体吞吐量(即速度很慢,常常极其慢),但是在获得锁和保证锁分配的均衡性时差异较小。****不过要注意的是,公平锁不能保证线程调度的公平性。因此,使用公平锁的众多线程中的一员可能获得多倍的成功机会,这种情况发生在其他活动线程没有被处理并且目前并未持有锁时。还要注意的是,未定时的 tryLock 方法并没有使用公平设置。因为即使其他线程正在等待,只要该锁是可用的,此方法就可以获得成功。
推荐使用用try-catch 块代码去调用lock(),如下:

class X { 
          private final ReentrantLock lock = new ReentrantLock();     
          public void m() {
          lock.lock(); 
          // block until condition holds try {
          // ... method body
          } finally { lock.unlock() }
         }
      }
}

除了实现lock接口,这个类还定义了一些public和protected方法去检查锁的状态。有些方法仅仅用来监控和维护。
这个类的序列化行为与内建的锁一样:反序列化的锁是没有获取锁状态,无论当它序列化时是否获取锁。
这个锁支持最大2147483647次的重入次数,超过这个数会报错。

类关系图:

444.png

从这个图可以看到ReentrantLock类实现了接口Lock和Serializable。

public class ReentrantLock implements Lock, java.io.Serializable {

ReentrantLock类的API调用都委托给一个内部类 Sync ,而该类继承AbstractQueuedSynchronizer类;

    /**
     * Base of synchronization control for this lock. Subclassed
     * into fair and nonfair versions below. Uses AQS state to
     * represent the number of holds on the lock.
    */
        abstract static class Sync extends AbstractQueuedSynchronizer 

而Sync又分为两个子类:公平锁和非公平锁,默认为非公平锁

/**
     * Sync object for fair locks
     */
    static final class FairSync extends Sync

//Sync object for Nonfair locks

static final class NonfairSync extends Sync
ReentrantLock调用lock()方法时的调用关系图

非公平锁类调用lock()方法时的调用关系:

555.png

代码解析:

1.nofairTryAcquire:

/* Performs non-fair tryLock. tryAcquire is implemented in * subclasses, but both need nonfair try for trylock method. 
*/
    final boolean nonfairTryAcquire(int acquires) { 
          final Thread current = Thread.currentThread(); 
          int c = getState(); if (c == 0) { 
                if (compareAndSetState(0, acquires)) {
                     setExclusiveOwnerThread(current); return true;
          } 
     } else if (current == getExclusiveOwnerThread()) { 
            int nextc = c + acquires; 
              if (nextc < 0) // overflow 
                  throw new Error("Maximum lock count exceeded");
              setState(nextc);
              return true; 
    }
 return false;
}

首先获取当前状态(初始化为0),当它等于0的时候,代表还没有任何线程获得该锁,然后通过CAS(底层是通过CompareAndSwapInt实现)改变state,如果设置成功设置当前线程为持有锁的线程;其他线程会直接返回false;当该线程重入的时候,state已经不等于0,这个时候并不需要CAS,因为该线程已经持有锁,然后会重新通过setState设置state的值,这里就实现了一个偏向锁的功能,即锁偏向该线程;

2.acquireQueued

只有当锁被一个线程持有,另外一个线程请求获得该锁的时候才会进入这个方法。
调用前首先调用addWaiter

addWaiter

/** * Creates and enqueues node for current thread and given mode. * * @param mode Node.EXCLUSIVE for exclusive, Node.SHARED for shared * @return the new node */
     private Node addWaiter(Node mode) { 
             Node node = new Node(Thread.currentThread(), mode);
             //Try the fast path of enq; backup to full enq on failure 
             Node pred = tail;
             if (pred != null) { 
             node.prev = pred;
             if (compareAndSetTail(pred, node)) { 
                 pred.next = node; 
                 return node; 
           } 
      } 
   enq(node); 
   return node;
}

首先,new一个节点,这个时候模式为:mode为 Node.EXCLUSIVE,默认为null即排它锁;
然后:
如果该队列已经有node即tail!=null,则将新节点的前驱节点置为tail,再通过CAS将tail指向当前节点,前驱节点的后继节点指向当前节点,然后返回当前节点;
如果队列为空或者CAS失败,则通过enq入队:

/** * Inserts node into queue, initializing if necessary. See picture above. * @param node the node to insert * @return node's predecessor */
  private Node enq(final Node node) { 
       for (;;) { 
          Node t = tail; 
          if (t == null) { 
               // Must initialize 
                  if (compareAndSetHead(new Node())) 
                       tail = head; 
                } else  { 
                    node.prev = t; 
                    if (compareAndSetTail(t, node)) {
                         t.next = node; return t; 
                } 
          } 
     }
}

进队的时候,要么是第一个入队并且设置head节点并且循环设置tail,要么是add tail,如果CAS不成功,则会无限循环,直到设置成功,即使高并发的场景,也最终能够保证设置成功,然后返回包装好的node节点;

acquireQueued:

/** * Acquires in exclusive uninterruptible mode for thread already in * queue. Used by condition wait methods as well as acquire. * * @param node the node * @param arg the acquire argument * @return {@code true} if interrupted while waiting */
   final boolean acquireQueued(final Node node, int arg) {
           boolean failed = true; 
           try { 
                boolean interrupted = false;
                     for (;;) { 
                        final Node p = node.predecessor(); 
                        if (p == head && tryAcquire(arg)) {
                                 setHead(node); 
                                 p.next = null; // help GC 
                                 failed = false; 
                                 return interrupted; 
} if(shouldParkAfterFailedAcquire(p,node)&&parkAndCheckInterrupt()) 
                                interrupted = true; 
              } 
         } finally { 
              if (failed) cancelAcquire(node); 
}
}

该方法的主要作用就是真正让node入队,同时将已经进入虚拟队列的节点进行阻塞,我们看到,如果当前节点的前驱节点是head并且尝试获取锁的时候成功了,则直接返回,不需要阻塞;同时把当前节点设为头结点,原头结点则释放。
如果前驱节点不是头节点或者获取锁的时候失败了,则进行判定是否需要阻塞:

/** * Checks and updates status for a node that failed to acquire. * Returns true if thread should block. This is the main signal * control in all acquire loops. Requires that pred == node.prev. * * @param pred node's predecessor holding status * @param node the node * @return {@code true} if thread should block */
     private static boolean shouldParkAfterFailedAcquire(Node pred, Node node) {
         int ws = pred.waitStatus;
         if (ws == Node.SIGNAL)
         /* * This node has already set status asking a release * to signal it, so it can safely park. */
           return true;
        if (ws > 0) {
             /* * Predecessor was cancelled. Skip over predecessors and         indicate retry. */
               do {
              node.prev = pred = pred.prev;
} while (pred.waitStatus > 0);
                   pred.next = node;
} else {
/* * waitStatus must be 0 or PROPAGATE. Indicate that we * need a signal, but don't park yet. Caller will need to * retry to make sure it cannot acquire before parking. */
            compareAndSetWaitStatus(pred, ws, Node.SIGNAL);
      }
     return false;
}

这段代码对该节点的前驱节点的状态进行判断,如果前驱节点已经处于signal状态,则返回true,表明当前节点可以进入阻塞状态;否则,将前驱节点状态CAS置为signal状态,然后通过上层的for循环进入parkAndCheckInterrupt代码块park:

/** * Convenience method to park and then check if interrupted * * @return {@code true} if interrupted */
      private final boolean parkAndCheckInterrupt(){
               LockSupport.park(this);
               return Thread.interrupted();
 }

这个时候将该线程交给操作系统内核进行阻塞;
总体来讲,acquireQueued就是依靠前驱节点的状态来决定当前线程是否应该处于阻塞状态,如果前驱节点处于cancel状态,则丢弃这些节点,重新构建队列;

公平锁类调用lock()方法时的调用关系:

666.png

非公平锁类和公平锁类调用lock()时的区别:

1.非公平锁类调用lock()时,不排队先尝试获取锁资源,修改状态,修改不成功再入队。具体实现先调用AbstractQueuedSynchronizer的方法

protected final boolean compareAndSetState(int expect, int update) ,而公平锁类是直接入队,不给插队的机会,当直接插队失败才会入队。

2.调用tryAcquire()时也不同,

1.公平锁类的tryAcquire()

/**
 * Fair version of tryAcquire.  Don't grant access unless
 * recursive call or no waiters or is first.
 */
protected final boolean tryAcquire(int acquires) {
final Thread current = Thread.currentThread();
int c = getState();
if (c == 0) {
if (!hasQueuedPredecessors() &&
            compareAndSetState(0, acquires)) {
            setExclusiveOwnerThread(current);
return true;
        }
    }
else if (current == getExclusiveOwnerThread()) {
int nextc = c + acquires;
if (nextc < 0)
throw new Error("Maximum lock count exceeded");
        setState(nextc);
return true;
    }
return false;
}

2.非公平锁的tryAcquire()

protected final boolean tryAcquire(int acquires) {
return nonfairTryAcquire(acquires);
}
/**
 * Performs non-fair tryLock.  tryAcquire is implemented in
 * subclasses, but both need nonfair try for trylock method.
 */
final boolean nonfairTryAcquire(int acquires) {
final Thread current = Thread.currentThread();
int c = getState();
if (c == 0) {
if (compareAndSetState(0, acquires)) {
            setExclusiveOwnerThread(current);
return true;
        }
    }
else if (current == getExclusiveOwnerThread()) {
int nextc = c + acquires;
if (nextc < 0) // overflow
throw new Error("Maximum lock count exceeded");
        setState(nextc);
return true;
    }
return false;
}

公平锁类先调用!hasQueuedPredecessors()检查此节点前面有没有非头节点的节点。这样保证了顺序的获得锁资源。非公平锁不调用!hasQueuedPredecessors()直接CAS
再来看unlock():

1.调用流程图:

777.png

1.Reentantlock方法unlock():

/**
     * Attempts to release this lock.
     *
     * <p>If the current thread is the holder of this lock then the hold
     * count is decremented.  If the hold count is now zero then the lock
     * is released.  If the current thread is not the holder of this
     * lock then {@link IllegalMonitorStateException} is thrown.
     *
     * @throws IllegalMonitorStateException if the current thread does not
     *         hold this lock
     */
    public void unlock() {

    sync.release(1);
}

unlock()调用AbstractQueuedSynchronizer的release。

2.AbstractQueuedSynchronizer的release(int arg):

/**
 * Releases in exclusive mode.  Implemented by unblocking one or
 * more threads if {@link #tryRelease} returns true.
 * This method can be used to implement method {@link Lock#unlock}.
 *
 * @param arg the release argument.  This value is conveyed to
 *        {@link #tryRelease} but is otherwise uninterpreted and
 *        can represent anything you like.
 * @return the value returned from {@link #tryRelease}
 */
public final boolean release(int arg) {
if (tryRelease(arg)) {
        Node h = head;
if (h != null && h.waitStatus != 0)
            unparkSuccessor(h);
return true;
    }
return false;
}

tryRelease(arg)为true则调用unparkSucessor(h),否则直接返回false。

3.我们再来看tryRelease(arg):

protected final boolean tryRelease(int releases) {
int c = getState() - releases;
if (Thread.currentThread() != getExclusiveOwnerThread())
throw new IllegalMonitorStateException();
boolean free = false;
if (c == 0) {
        free = true;
        setExclusiveOwnerThread(null);
    }
    setState(c);
return free;
}

当释放锁的thread与当前获得锁的线程不一致时,抛出异常,参数releasese是要释放的重入锁的个数,c是释放后还剩几个。如果c==0则返回true。无论返回是true还是false都会更新state的值。state为零说明锁资源已经可以竞争了,非零说明锁资源还在某个线程没有释放。如果为零,下一步应该是唤醒一个线程,使这个线程获得竞争锁的权利。

4.unparkSucessor(h):

/**
 * Releases in exclusive mode.  Implemented by unblocking one or
 * more threads if {@link #tryRelease} returns true.
 * This method can be used to implement method {@link Lock#unlock}.
 *
 * @param arg the release argument.  This value is conveyed to
 *        {@link #tryRelease} but is otherwise uninterpreted and
 *        can represent anything you like.
 * @return the value returned from {@link #tryRelease}
 */
public final boolean release(int arg) {
if (tryRelease(arg)) {
        Node h = head;
if (h != null && h.waitStatus != 0)
            unparkSuccessor(h);
return true;
    }
return false;
}

这个作用即:当头结点的状态小于0,则将头结点的状态CAS为0,然后通过链表获取下一个节点,如果下一个节点为null或者不符合要求的状态,则从队尾遍历整个链表,直到遍历到离head节点最近的一个节点并且等待状态符合预期,则将头结点的后继节点置为该节点;

对刚刚筛出来的符合要求的节点唤醒,也就是该节点获得 争夺 锁的权利。

最后让我们回到调用lock()时,线程被park的那段代码:

/**
 * Acquires in exclusive uninterruptible mode for thread already in
 * queue. Used by condition wait methods as well as acquire.
 *
 * @param node the node
 * @param arg the acquire argument
 * @return {@code true} if interrupted while waiting
 */
final boolean acquireQueued(final Node node, int arg) {
boolean failed = true;
try {
boolean interrupted = false;
for (;;) {
final Node p = node.predecessor();
if (p == head && tryAcquire(arg)) {
                setHead(node);
                p.next = null; // help GC
                failed = false;
return interrupted;
            }
if (shouldParkAfterFailedAcquire(p, node) &&
                parkAndCheckInterrupt())
                interrupted = true;
        }
    } finally {
if (failed)
            cancelAcquire(node);
    }
}

也就是说for循环又可以继续跑了,去做一系列的判断,并尝试获得锁,上面已经讲了,不再说了。这样,线程从lock()到unlock()发生的事情都大体讲清楚了。下一节,会分析await()和singnal()。

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