在上一篇文章，我们已经实现了分布式锁。今天更进一步，在分布式锁的基础之上，实现读写锁。

完整代码在 https://github.com/SeemSilly/codestory/tree/master/research-zoo-keeper

1 读写锁的概念

参考维基百科的条目: https://zh.wikipedia.org/wiki/读写锁

读写锁是计算机程序的并发控制的一种同步机制，用于解决读写问题，读操作可并发重入，写操作是互斥的。 读写锁有多种读写权限的优先级策略，可以设计为读优先、写优先或不指定优先级。

  • 读优先：允许最大并发的读操作，但可能会饿死写操作；因为写操作必须在没有任何读操作的时候才能够执行。
  • 写优先：只要排队队列中有写操作，读操作就必须等待；
  • 不指定优先级：对读操作和写操作不做任何优先级的假设

不指定优先级的策略，最适合使用ZooKeeper的子节点模式来实现，今天就来尝试这种策略。

2 锁设计

同前面介绍的普通分布式锁，也使用子节点模式实现。先用容器模式（CreateMode.CONTAINER）创建唯一的锁节点，每个锁客户端在锁节点下使用临时循序模式（CreateMode. SEQUENTIAL）创建子节点。这些子节点会自动在名称后面追加10位数字。

2.1 如何标识读锁还是写锁？

有两种简单的方案：在子节点名中标识、在节点的值中标识。如果采用在值中标识，每次子节点列表后，还需要再分别读一下子节点的值，才能判断是读锁还是写锁，会比较耗时。如果在子节点名称中标识，会面临一个问题：在同一个节点中创建的子节点，如果给定的名称不同，追加的10位数字是否仍然是递归的？

写个测试用例验证一下。

public class SequentialTest extends TestBase {
  @Test
  public void testSequential() throws Exception {
    String rootNodeName = "/container-" + System.currentTimeMillis();
    ZooKeeperBase zooKeeper = new ZooKeeperBase(address);
    zooKeeper.createRootNode(rootNodeName, CreateMode.CONTAINER);

    Random random = new SecureRandom();
    long lastNumber = -1L;
    String[] prefixs = new String[] {"/a", "/b", "/c", "/d", "/e", "/f", "/g"};
    for (int i = 0; i < 10; i++) {
      int index = random.nextInt(prefixs.length);
      String childNodeName = rootNodeName + prefixs[index];
      String fullNodeName = zooKeeper.getZooKeeper().create(childNodeName, new byte[0],
          ZooDefs.Ids.OPEN_ACL_UNSAFE, CreateMode.EPHEMERAL_SEQUENTIAL);
      long number = Long.parseLong(fullNodeName.substring(childNodeName.length()));
      assert number == lastNumber + 1;
      lastNumber = number;
    }
  }
}

　　

测试用例通过，说明在同一个Container中创建的子节点，不论提供的节点名是什么，后续追加的10位数字都是顺序递增的。这样，就可以使用节点名来区分读锁和写锁。

2.2   类设计

介绍分布式锁的时候，已经创建了阻塞锁 ChildrenBlockingLock，读写锁正好可以基于这个类做重载。

 

 

2.3   获取锁的逻辑

写锁是一个独占锁，逻辑跟普通分布式锁相同，只要它之前有锁就必须等待。所以，完全沿用阻塞锁的逻辑即可。

读锁允许并发，它之前可以有任意读锁，但不能有写锁。所以只需要判断有没有写锁即可。

3      关键代码

3.1   ChildrenNodeLock.java

这个类，主要是增加了一个获取排序后子节点列表的方法，这样方便实现读写锁的代码。当然，这个操作会增加一些耗时，如果子节点数量太大，可能不适用。

首先定义一个函数，用来返回子节点的前缀

/** 子节点的前缀，缺省是element，子类可以重载 */
protected String getChildPrefix() {
  return "element";
}

 

然后定义一个内部类，子节点排序时会用到

/** 子节点名称比较 */
private class StringCompare implements Comparator<String> {
  @Override
  public int compare(String string1, String string2) {
    return string1.substring(string1.length() - 10)
        .compareTo(string2.substring(string2.length() - 10));
  }
}

 

最后实现子节点排序方法，用于代替 getChildren 函数

/** 获取排好序的子节点列表 */
final public List<String> getOrderedChildren(String path, boolean watch)
    throws KeeperException, InterruptedException {
  List<String> children = getZooKeeper().getChildren(path, watch);
  Collections.sort(children, new StringCompare());
  return children;
}

 

3.2   ChildrenBlockingLock.java

在多客户端随机测试时，经常出现程序卡死的情况，无法正常退出。经过添加日志跟踪，发现WatchedEvent可能会丢失，也可能会发送给并不是注册事件的ZooKeeper客户端。在网上搜索，发现很多人也碰到类似问题。

简单修改了一下ChildrenBlockingLock#isLockSuccess等待信号的代码，从无参数的死等变成设置一定超时时间等待。关键代码如下

protected boolean isLockSuccess() {
  boolean lockSuccess;
  try {
    while (true) {
      String prevElementName = getPrevElementName();
      if (prevElementName == null) {
        log.trace("{} 没有更靠前的子节点，加锁成功", elementNodeName);
        lockSuccess = true;
        break;
      } else {
        // 有更小的节点，说明当前节点没抢到锁，注册前一个节点的监听。
        log.trace("{} 监控 {} 的事件", elementNodeName, prevElementName);
        getZooKeeper().exists(this.guidNodeName + "/" + prevElementName, true);
        synchronized (mutex) {
          // 等待最多一秒
          mutex.wait(1000);
          log.trace("{} 监控的 {} 有子节点变化", elementNodeName, guidNodeName);
        }
      }
    }
  } catch (KeeperException e) {
    lockSuccess = false;
  } catch (InterruptedException e) {
    lockSuccess = false;
  }
  return lockSuccess;
}

 

3.3   写锁 ZooKeeperWriteLock.java

代码基本是沿用父类，只需要重载getChildPrefix()方法，

/** 返回写锁的前缀 */
protected String getChildPrefix() {
  return "w-lock-";
}

 

3.4   读锁 ZooKeeperReadLock.java

同写锁相比，除了重载getChildPrefix()方法，还重载了getPrevElementName()用来查找最近一个写锁。

/** 返回读锁的前缀 */
protected String getChildPrefix() {
  return "r-lock-";
}

/** 是写锁 */
private boolean isWriteLock(String elementName) {
  return elementName.startsWith(ZooKeeperWriteLock.FLAG);
}

/** 读取前一个写锁 */
protected String getPrevElementName() throws KeeperException, InterruptedException {
  List<String> elementNames = super.getOrderedChildren(this.guidNodeName, false);
  super.traceOrderedChildren(this.guidNodeName, elementNames);
  String prevWriteElementName = null;
  for (String oneElementName : elementNames) {
    if (this.elementNodeFullName.endsWith(oneElementName)) {
      // 已经到了当前节点
      break;
    }
    if (isWriteLock(oneElementName)) {
      prevWriteElementName = oneElementName;
    }
  }
  return prevWriteElementName;
}

 

4      测试用例

测试用例没想到好的判断方法，很难使用assert判断结果，因此做了简化，根据日志输出，靠人眼判断是否正确。

4.1   测试线程类

分别为都锁和写锁构建了两个内部类

/** 写锁线程 */
class WriteLockClient extends Thread {
  ZooKeeperWriteLock writeLock;

  public WriteLockClient() {
    try {
      this.writeLock = new ZooKeeperWriteLock(address);
    } catch (IOException e) {
    }
  }

  public void run() {
    writeLock.lock(guidNodeName, this.getName());
    try {
      Thread.sleep(1000 + random.nextInt(20) * 100);
    } catch (InterruptedException e) {
    }
    writeLock.release(guidNodeName, this.getName());
  }
}

/** 读锁线程 */
class ReadLockClient extends Thread {
  ZooKeeperReadLock readLock;

  public ReadLockClient() {
    try {
      this.readLock = new ZooKeeperReadLock(address);
    } catch (IOException e) {
    }
  }
public void run() {
    readLock.lock(guidNodeName, this.getName());
    try {
      Thread.sleep(1000 + random.nextInt(20) * 100);
    } catch (InterruptedException e) {
    }
    readLock.release(guidNodeName, this.getName());
    try {
      readLock.getZooKeeper().close();
    } catch (InterruptedException e) {
    }
  }
}

 

4.2   读-读锁测试

代码

@Test
public void testReadRead() throws IOException, InterruptedException {
  ReadLockClient readLock1 = new ReadLockClient();
  ReadLockClient readLock2 = new ReadLockClient();
  readLock1.start();
  readLock2.start();
  readLock1.join();
  readLock2.join();
}

 

测试结果可以看到，两个读锁并发执行

22:18.861 [Thread-2 INFO] r-lock-0000000000 get read lock : true
22:18.865 [Thread-1 INFO] r-lock-0000000001 get read lock : true
22:20.065 [Thread-2 INFO] r-lock-0000000000 release read lock
22:21.366 [Thread-1 INFO] r-lock-0000000001 release read lock

 

4.3   读-写锁测试

代码

@Test
public void testReadWrite() throws IOException, InterruptedException {
  ReadLockClient readLock1 = new ReadLockClient();
  WriteLockClient writeLock1 = new WriteLockClient();
  readLock1.start();
  Thread.sleep(50);
  writeLock1.start();
  readLock1.join();
  writeLock1.join();
}

 

测试结果可以看到，首先获取读锁，释放之后才获取到写锁。

27:40.800 [Thread-1 INFO] r-lock-0000000000 get read lock : true
27:43.310 [Thread-1 INFO] r-lock-0000000000 release read lock
27:43.423 [Thread-2 INFO] w-lock-0000000001 get write lock : true
27:44.423 [Thread-2 INFO] w-lock-0000000001 release write lock

 

4.4   写-读锁测试

代码

@Test
public void testWriteRead() throws IOException, InterruptedException {
  ReadLockClient readLock1 = new ReadLockClient();
  WriteLockClient writeLock1 = new WriteLockClient();
  writeLock1.start();
  Thread.sleep(50);
  readLock1.start();
  writeLock1.join();
  readLock1.join();
}

 

测试结果可以看到，首先获取写锁，释放之后才获取到读锁。

29:17.661 [Thread-2 INFO] w-lock-0000000000 get write lock : true
29:19.966 [Thread-2 INFO] w-lock-0000000000 release write lock
29:19.976 [Thread-1 INFO] r-lock-0000000001 get read lock : true
29:22.476 [Thread-1 INFO] r-lock-0000000001 release read lock

 

4.5   多客户端随机读写锁测试

测试代码

@Test
public void testRandomReadWriteLock() throws IOException, InterruptedException {
  int threadCount = 20;
  Thread[] lockThreads = new Thread[threadCount];
  for (int i = 0; i < threadCount; i++) {
    // 一定概率是写锁
    boolean writeLock = random.nextInt(5) == 0;
    if (writeLock) {
      lockThreads[i] = new WriteLockClient();
    } else {
      lockThreads[i] = new ReadLockClient();
    }
    lockThreads[i].start();
  }
 

  for (int i = 0; i < threadCount; i++) {
    lockThreads[i].join();
  }
}

 

测试结果可以看出，如果连续多个读锁会并发执行。为了方便查看，我添加了一些横线分隔。

30:31.317 [Thread-1 INFO] w-lock-0000000000 get write lock : true
30:32.824 [Thread-1 INFO] w-lock-0000000000 release write lock
------------------------------------------------------------------
30:32.834 [Thread-17 INFO] r-lock-0000000004 get read lock : true
30:32.835 [Thread-19 INFO] r-lock-0000000002 get read lock : true
30:32.835 [Thread-20 INFO] r-lock-0000000001 get read lock : true
30:32.836 [Thread-18 INFO] r-lock-0000000003 get read lock : true
30:34.135 [Thread-20 INFO] r-lock-0000000001 release read lock
30:34.634 [Thread-17 INFO] r-lock-0000000004 release read lock
30:34.935 [Thread-19 INFO] r-lock-0000000002 release read lock
30:35.036 [Thread-18 INFO] r-lock-0000000003 release read lock
------------------------------------------------------------------
30:35.053 [Thread-16 INFO] w-lock-0000000005 get write lock : true
30:36.154 [Thread-16 INFO] w-lock-0000000005 release write lock
------------------------------------------------------------------
30:36.160 [Thread-14 INFO] r-lock-0000000007 get read lock : true
30:36.160 [Thread-15 INFO] r-lock-0000000006 get read lock : true
30:38.160 [Thread-14 INFO] r-lock-0000000007 release read lock
30:38.661 [Thread-15 INFO] r-lock-0000000006 release read lock
------------------------------------------------------------------
30:38.669 [Thread-13 INFO] w-lock-0000000008 get write lock : true
30:39.969 [Thread-13 INFO] w-lock-0000000008 release write lock
------------------------------------------------------------------
30:39.976 [Thread-12 INFO] r-lock-0000000009 get read lock : true
30:39.977 [Thread-8 INFO] r-lock-0000000014 get read lock : true
30:39.977 [Thread-6 INFO] r-lock-0000000015 get read lock : true
30:39.984 [Thread-10 INFO] r-lock-0000000011 get read lock : true
30:39.985 [Thread-3 INFO] r-lock-0000000018 get read lock : true
30:39.984 [Thread-7 INFO] r-lock-0000000013 get read lock : true
30:39.984 [Thread-11 INFO] r-lock-0000000010 get read lock : true
30:39.983 [Thread-9 INFO] r-lock-0000000012 get read lock : true
30:39.983 [Thread-2 INFO] r-lock-0000000019 get read lock : true
30:39.982 [Thread-5 INFO] r-lock-0000000016 get read lock : true
30:39.986 [Thread-4 INFO] r-lock-0000000017 get read lock : true
30:40.986 [Thread-3 INFO] r-lock-0000000018 release read lock
30:41.086 [Thread-2 INFO] r-lock-0000000019 release read lock
30:41.285 [Thread-6 INFO] r-lock-0000000015 release read lock
30:41.576 [Thread-12 INFO] r-lock-0000000009 release read lock
30:42.185 [Thread-10 INFO] r-lock-0000000011 release read lock
30:42.186 [Thread-5 INFO] r-lock-0000000016 release read lock
30:42.187 [Thread-11 INFO] r-lock-0000000010 release read lock
30:42.286 [Thread-9 INFO] r-lock-0000000012 release read lock
30:42.586 [Thread-7 INFO] r-lock-0000000013 release read lock
30:42.677 [Thread-8 INFO] r-lock-0000000014 release read lock
30:42.887 [Thread-4 INFO] r-lock-0000000017 release read lock

 

 

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