原理
在Zk指定节点/lock下创建临时有序节点/node_n, 获取/lock节点下所有的子节点, 判断当前Node是否是所有节点中最小的，如果是，说明获得了锁，不然会监听node_n-1节点的删除事件， 收到node_n-1节点的删除事件后会进行新一轮判断.
锁类
- InterProcessMutex: 分布式可重入排它锁
- InterProcessSemaphoreMutex: 分布式排它锁
- InterProcessReadWriteLock: 分布式读写锁
源码
InterProcessMutex
- 初始化
InterProcessMutex(CuratorFramework client, String path, String lockName, int maxLeases, LockInternalsDriver driver)
{
basePath = PathUtils.validatePath(path);
internals = new LockInternals(client, driver, path, lockName, maxLeases);
}
- acquire
@Override
public void acquire() throws Exception
{
if ( !internalLock(-1, null) )
{
throw new IOException("Lost connection while trying to acquire lock: " + basePath);
}
}
private boolean internalLock(long time, TimeUnit unit) throws Exception
{
/*
Note on concurrency: a given lockData instance
can be only acted on by a single thread so locking isn't necessary
*/
Thread currentThread = Thread.currentThread();
LockData lockData = threadData.get(currentThread);
if ( lockData != null )
{
// re-entering
lockData.lockCount.incrementAndGet();
return true;
}
String lockPath = internals.attemptLock(time, unit, getLockNodeBytes());
if ( lockPath != null )
{
LockData newLockData = new LockData(currentThread, lockPath);
threadData.put(currentThread, newLockData);
return true;
}
return false;
}
// 尝试获取锁
String attemptLock(long time, TimeUnit unit, byte[] lockNodeBytes) throws Exception
{
final long startMillis = System.currentTimeMillis();
final Long millisToWait = (unit != null) ? unit.toMillis(time) : null;
final byte[] localLockNodeBytes = (revocable.get() != null) ? new byte[0] : lockNodeBytes;
int retryCount = 0;
String ourPath = null;
boolean hasTheLock = false;
boolean isDone = false;
while ( !isDone )
{
isDone = true;
try
{
//创建锁
ourPath = driver.createsTheLock(client, path, localLockNodeBytes);
//是否获得锁, 阻塞或者获得
hasTheLock = internalLockLoop(startMillis, millisToWait, ourPath);
}
catch ( KeeperException.NoNodeException e )
{
// gets thrown by StandardLockInternalsDriver when it can't find the lock node
// this can happen when the session expires, etc. So, if the retry allows, just try it all again
if ( client.getZookeeperClient().getRetryPolicy().allowRetry(retryCount++, System.currentTimeMillis() - startMillis, RetryLoop.getDefaultRetrySleeper()) )
{
isDone = false;
}
else
{
throw e;
}
}
}
if ( hasTheLock )
{
return ourPath;
}
return null;
}
public String createsTheLock(CuratorFramework client, String path, byte[] lockNodeBytes) throws Exception
{
String ourPath;
if ( lockNodeBytes != null )
{
ourPath = client.create().creatingParentContainersIfNeeded().withProtection().withMode(CreateMode.EPHEMERAL_SEQUENTIAL).forPath(path, lockNodeBytes);
}
else
{
ourPath = client.create().creatingParentContainersIfNeeded().withProtection().withMode(CreateMode.EPHEMERAL_SEQUENTIAL).forPath(path);
}
return ourPath;
}
private boolean internalLockLoop(long startMillis, Long millisToWait, String ourPath) throws Exception
{
boolean haveTheLock = false;
boolean doDelete = false;
try
{
if ( revocable.get() != null )
{
//此时其他线程可以通过Revoker.attemptRevoke 触发watcher, 进行协商撤销锁
client.getData().usingWatcher(revocableWatcher).forPath(ourPath);
}
while ( (client.getState() == CuratorFrameworkState.STARTED) && !haveTheLock )
{
List<String> children = getSortedChildren();
String sequenceNodeName = ourPath.substring(basePath.length() + 1); // +1 to include the slash
//是否获取锁，并获取上一个节点
PredicateResults predicateResults = driver.getsTheLock(client, children, sequenceNodeName, maxLeases);
if ( predicateResults.getsTheLock() )
{
haveTheLock = true;
}
else
{
String previousSequencePath = basePath + "/" + predicateResults.getPathToWatch();
synchronized(this)
{
try
{
// use getData() instead of exists() to avoid leaving unneeded watchers which is a type of resource leak
// 监听上一个节点
client.getData().usingWatcher(watcher).forPath(previousSequencePath);
if ( millisToWait != null )
{
millisToWait -= (System.currentTimeMillis() - startMillis);
startMillis = System.currentTimeMillis();
if ( millisToWait <= 0 )
{
doDelete = true; // timed out - delete our node
break;
}
wait(millisToWait);
}
else
{
wait();
}
}
catch ( KeeperException.NoNodeException e )
{
// it has been deleted (i.e. lock released). Try to acquire again
}
}
}
}
}
catch ( Exception e )
{
ThreadUtils.checkInterrupted(e);
doDelete = true;
throw e;
}
finally
{
if ( doDelete )
{
deleteOurPath(ourPath);
}
}
return haveTheLock;
}
@Override
public PredicateResults getsTheLock(CuratorFramework client, List<String> children, String sequenceNodeName, int maxLeases) throws Exception
{
int ourIndex = children.indexOf(sequenceNodeName);
validateOurIndex(sequenceNodeName, ourIndex);
boolean getsTheLock = ourIndex < maxLeases;
String pathToWatch = getsTheLock ? null : children.get(ourIndex - maxLeases);
return new PredicateResults(pathToWatch, getsTheLock);
}
- release
public void release() throws Exception
{
/*
Note on concurrency: a given lockData instance
can be only acted on by a single thread so locking isn't necessary
*/
Thread currentThread = Thread.currentThread();
LockData lockData = threadData.get(currentThread);
if ( lockData == null )
{
throw new IllegalMonitorStateException("You do not own the lock: " + basePath);
}
int newLockCount = lockData.lockCount.decrementAndGet();
if ( newLockCount > 0 )
{
return;
}
if ( newLockCount < 0 )
{
throw new IllegalMonitorStateException("Lock count has gone negative for lock: " + basePath);
}
try
{
internals.releaseLock(lockData.lockPath);
}
finally
{
threadData.remove(currentThread);
}
}
final void releaseLock(String lockPath) throws Exception
{
client.removeWatchers();
revocable.set(null);
deleteOurPath(lockPath);
}
锁撤销
InterProcessMutex支持一种协商撤销互斥锁的机制， 可以用于死锁的情况. 可以调用 makeRevocable， 当其他线程/进程想要线程释放锁时， 回调监听器方法， 此方法不强制，是协商机制， 当线程想要释放锁时调用Revoker#attemptRevoke， 加锁的path，可以通过InterProcessMutex#getParticipantNodes获得
代码
InterProcessMutex lock=new InterProcessMutex(curatorFramework,"/Locks");
try {
lock.acquire();
} finally{
lock.release();
}
选举
Curator基于Zk封装了Leader选举工具LeaderLatch和LeaderSelector. 两者之间的区别在于leaderLatch一旦称为主节点， 只有调用close方法， 其他节点才会继续争夺。LeaderSelector当实例被选为leader后， 调用takeLeadership方法进行业务逻辑处理，处理完成释放领导权。autoRequeue可以保证每个节点都可以获得领导权.
