跟着实例学习ZooKeeper的用法: 分布式锁
锁
分布式的锁全局同步, 这意味着任何一个时间点不会有两个客户端都拥有相同的锁。
可重入锁Shared Reentrant Lock
首先我们先看一个全局可重入的锁。 Shared意味着锁是全局可见的, 客户端都可以请求锁。 Reentrant和JDK的ReentrantLock类似, 意味着同一个客户端在拥有锁的同时,可以多次获取,不会被阻塞。 它是由类InterProcessMutex
来实现。 它的构造函数为:
public InterProcessMutex(CuratorFramework client, String path)
通过acquire
获得锁,并提供超时机制:
public void acquire()
Acquire the mutex - blocking until it's available. Note: the same thread can call acquire
re-entrantly. Each call to acquire must be balanced by a call to release()
public boolean acquire(long time,
TimeUnit unit)
Acquire the mutex - blocks until it's available or the given time expires. Note: the same thread can
call acquire re-entrantly. Each call to acquire that returns true must be balanced by a call to release()
Parameters:
time - time to wait
unit - time unit
Returns:
true if the mutex was acquired, false if not
通过release()
方法释放锁。 InterProcessMutex 实例可以重用。
Revoking ZooKeeper recipes wiki定义了可协商的撤销机制。 为了撤销mutex, 调用下面的方法:
public void makeRevocable(RevocationListener<T> listener)
将锁设为可撤销的. 当别的进程或线程想让你释放锁是Listener会被调用。
Parameters:
listener - the listener
如果你请求撤销当前的锁, 调用Revoker
方法。
public static void attemptRevoke(CuratorFramework client,
String path)
throws Exception
Utility to mark a lock for revocation. Assuming that the lock has been registered
with a RevocationListener, it will get called and the lock should be released. Note,
however, that revocation is cooperative.
Parameters:
client - the client
path - the path of the lock - usually from something like InterProcessMutex.getParticipantNodes()
错误处理 还是强烈推荐你使用ConnectionStateListener
处理连接状态的改变。 当连接LOST时你不再拥有锁。
首先让我们创建一个模拟的共享资源, 这个资源期望只能单线程的访问,否则会有并发问题。
package com.colobu.zkrecipe.lock;
import java.util.concurrent.atomic.AtomicBoolean;
public class FakeLimitedResource {
private final AtomicBoolean inUse = new AtomicBoolean(false);
public void use() throws InterruptedException {
// 真实环境中我们会在这里访问/维护一个共享的资源
//这个例子在使用锁的情况下不会非法并发异常IllegalStateException
//但是在无锁的情况由于sleep了一段时间,很容易抛出异常
if (!inUse.compareAndSet(false, true)) {
throw new IllegalStateException("Needs to be used by one client at a time");
}
try {
Thread.sleep((long) (3 * Math.random()));
} finally {
inUse.set(false);
}
}
}
然后创建一个ExampleClientThatLocks
类, 它负责请求锁, 使用资源,释放锁这样一个完整的访问过程。
package com.colobu.zkrecipe.lock;
import java.util.concurrent.TimeUnit;
import org.apache.curator.framework.CuratorFramework;
import org.apache.curator.framework.recipes.locks.InterProcessMutex;
public class ExampleClientThatLocks {
private final InterProcessMutex lock;
private final FakeLimitedResource resource;
private final String clientName;
public ExampleClientThatLocks(CuratorFramework client, String lockPath, FakeLimitedResource resource, String clientName) {
this.resource = resource;
this.clientName = clientName;
lock = new InterProcessMutex(client, lockPath);
}
public void doWork(long time, TimeUnit unit) throws Exception {
if (!lock.acquire(time, unit)) {
throw new IllegalStateException(clientName + " could not acquire the lock");
}
try {
System.out.println(clientName + " has the lock");
resource.use(); //access resource exclusively
} finally {
System.out.println(clientName + " releasing the lock");
lock.release(); // always release the lock in a finally block
}
}
}
最后创建主程序来测试。
package com.colobu.zkrecipe.lock;
import java.util.concurrent.Callable;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.TimeUnit;
import org.apache.curator.framework.CuratorFramework;
import org.apache.curator.framework.CuratorFrameworkFactory;
import org.apache.curator.retry.ExponentialBackoffRetry;
import org.apache.curator.test.TestingServer;
import org.apache.curator.utils.CloseableUtils;
public class InterProcessMutexExample {
private static final int QTY = 5;
private static final int REPETITIONS = QTY * 10;
private static final String PATH = "/examples/locks";
public static void main(String[] args) throws Exception {
final FakeLimitedResource resource = new FakeLimitedResource();
ExecutorService service = Executors.newFixedThreadPool(QTY);
final TestingServer server = new TestingServer();
try {
for (int i = 0; i < QTY; ++i) {
final int index = i;
Callable<Void> task = new Callable<Void>() {
@Override
public Void call() throws Exception {
CuratorFramework client = CuratorFrameworkFactory.newClient(server.getConnectString(), new ExponentialBackoffRetry(1000, 3));
try {
client.start();
final ExampleClientThatLocks example = new ExampleClientThatLocks(client, PATH, resource, "Client " + index);
for (int j = 0; j < REPETITIONS; ++j) {
example.doWork(10, TimeUnit.SECONDS);
}
} catch (Throwable e) {
e.printStackTrace();
} finally {
CloseableUtils.closeQuietly(client);
}
return null;
}
};
service.submit(task);
}
service.shutdown();
service.awaitTermination(10, TimeUnit.MINUTES);
} finally {
CloseableUtils.closeQuietly(server);
}
}
}
代码也很简单,生成10个client, 每个client重复执行10次 请求锁–访问资源–释放锁的过程。每个client都在独立的线程中。 结果可以看到,锁是随机的被每个实例排他性的使用。
既然是可重用的,你可以在一个线程中多次调用acquire
,在线程拥有锁时它总是返回true。
你不应该在多个线程中用同一个InterProcessMutex, 你可以在每个线程中都生成一个InterProcessMutex实例,它们的path都一样,这样它们可以共享同一个锁。
不可重入锁Shared Lock
这个锁和上面的相比,就是少了Reentrant
的功能,也就意味着它不能在同一个线程中重入。 这个类是InterProcessSemaphoreMutex
。 使用方法和上面的类类似。
首先我们将上面的例子修改一下,测试一下它的重入。 修改ExampleClientThatLocks.doWork
,连续两次acquire
:
public void doWork(long time, TimeUnit unit) throws Exception {
if (!lock.acquire(time, unit)) {
throw new IllegalStateException(clientName + " could not acquire the lock");
}
System.out.println(clientName + " has the lock");
if (!lock.acquire(time, unit)) {
throw new IllegalStateException(clientName + " could not acquire the lock");
}
System.out.println(clientName + " has the lock again");
try {
resource.use(); //access resource exclusively
} finally {
System.out.println(clientName + " releasing the lock");
lock.release(); // always release the lock in a finally block
lock.release(); // always release the lock in a finally block
}
}
注意我们也需要调用release
两次。这和JDK的ReentrantLock用法一致。如果少调用一次release
,则此线程依然拥有锁。 上面的代码没有问题,我们可以多次调用acquire
,后续的acquire
也不会阻塞。 将上面的InterProcessMutex
换成不可重入锁InterProcessSemaphoreMutex
,如果再运行上面的代码,结果就会发现线程被阻塞再第二个acquire
上。 也就是此锁不是可重入的。
可重入读写锁Shared Reentrant Read Write Lock
类似JDK的ReentrantReadWriteLock
. 一个读写锁管理一对相关的锁。 一个负责读操作,另外一个负责写操作。 读操作在写锁没被使用时可同时由多个进程使用,而写锁使用时不允许读 (阻塞)。 此锁是可重入的。一个拥有写锁的线程可重入读锁,但是读锁却不能进入写锁。 这也意味着写锁可以降级成读锁, 比如请求写锁 —>读锁 —->释放写锁。 从读锁升级成写锁是不成的。
主要由两个类实现:
- InterProcessReadWriteLock
- InterProcessLock
使用时首先创建一个InterProcessReadWriteLock
实例,然后再根据你的需求得到读锁或者写锁, 读写锁的类型是InterProcessLock
。
public InterProcessLock readLock()
public InterProcessLock writeLock()
例子和上面的类似。
package com.colobu.zkrecipe.lock;
import java.util.concurrent.TimeUnit;
import org.apache.curator.framework.CuratorFramework;
import org.apache.curator.framework.recipes.locks.InterProcessMutex;
import org.apache.curator.framework.recipes.locks.InterProcessReadWriteLock;
import org.apache.curator.framework.recipes.locks.InterProcessSemaphoreMutex;
public class ExampleClientReadWriteLocks {
private final InterProcessReadWriteLock lock;
private final InterProcessMutex readLock;
private final InterProcessMutex writeLock;
private final FakeLimitedResource resource;
private final String clientName;
public ExampleClientReadWriteLocks(CuratorFramework client, String lockPath, FakeLimitedResource resource, String clientName) {
this.resource = resource;
this.clientName = clientName;
lock = new InterProcessReadWriteLock(client, lockPath);
readLock = lock.readLock();
writeLock = lock.writeLock();
}
public void doWork(long time, TimeUnit unit) throws Exception {
if (!writeLock.acquire(time, unit)) {
throw new IllegalStateException(clientName + " could not acquire the writeLock");
}
System.out.println(clientName + " has the writeLock");
if (!readLock.acquire(time, unit)) {
throw new IllegalStateException(clientName + " could not acquire the readLock");
}
System.out.println(clientName + " has the readLock too");
try {
resource.use(); //access resource exclusively
} finally {
System.out.println(clientName + " releasing the lock");
readLock.release(); // always release the lock in a finally block
writeLock.release(); // always release the lock in a finally block
}
}
}
在这个类中我们首先请求了一个写锁, 然后降级成读锁。 执行业务处理,然后释放读写锁。
信号量Shared Semaphore
一个计数的信号量类似JDK的Semaphore。 JDK中Semaphore维护的一组许可(permits),而Cubator中称之为租约(Lease)。 有两种方式可以决定semaphore的最大租约数。第一种方式是有用户给定的path决定。第二种方式使用SharedCountReader
类。 如果不使用SharedCountReader, 没有内部代码检查进程是否假定有10个租约而进程B假定有20个租约。 所以所有的实例必须使用相同的numberOfLeases值.
这次调用acquire
会返回一个租约对象。 客户端必须在finally中close这些租约对象,否则这些租约会丢失掉。 但是, 但是,如果客户端session由于某种原因比如crash丢掉, 那么这些客户端持有的租约会自动close, 这样其它客户端可以继续使用这些租约。 租约还可以通过下面的方式返还:
public void returnAll(Collection<Lease> leases)
public void returnLease(Lease lease)
注意一次你可以请求多个租约,如果Semaphore当前的租约不够,则请求线程会被阻塞。 同时还提供了超时的重载方法。
public Lease acquire()
public Collection<Lease> acquire(int qty)
public Lease acquire(long time, TimeUnit unit)
public Collection<Lease> acquire(int qty, long time, TimeUnit unit)
主要类有:
- InterProcessSemaphoreV2
- Lease
- SharedCountReader
下面是使用的例子:
package com.colobu.zkrecipe.lock;
import java.util.Collection;
import java.util.concurrent.TimeUnit;
import org.apache.curator.framework.CuratorFramework;
import org.apache.curator.framework.CuratorFrameworkFactory;
import org.apache.curator.framework.recipes.locks.InterProcessSemaphoreV2;
import org.apache.curator.framework.recipes.locks.Lease;
import org.apache.curator.retry.ExponentialBackoffRetry;
import org.apache.curator.test.TestingServer;
import org.apache.curator.utils.CloseableUtils;
public class InterProcessSemaphoreExample {
private static final int MAX_LEASE = 10;
private static final String PATH = "/examples/locks";
public static void main(String[] args) throws Exception {
FakeLimitedResource resource = new FakeLimitedResource();
try (TestingServer server = new TestingServer()) {
CuratorFramework client = CuratorFrameworkFactory.newClient(server.getConnectString(), new ExponentialBackoffRetry(1000, 3));
client.start();
InterProcessSemaphoreV2 semaphore = new InterProcessSemaphoreV2(client, PATH, MAX_LEASE);
Collection<Lease> leases = semaphore.acquire(5);
System.out.println("get " + leases.size() + " leases");
Lease lease = semaphore.acquire();
System.out.println("get another lease");
resource.use();
Collection<Lease> leases2 = semaphore.acquire(5, 10, TimeUnit.SECONDS);
System.out.println("Should timeout and acquire return " + leases2);
System.out.println("return one lease");
semaphore.returnLease(lease);
System.out.println("return another 5 leases");
semaphore.returnAll(leases);
}
}
}
首先我们先获得了5个租约, 最后我们把它还给了semaphore。 接着请求了一个租约,因为semaphore还有5个租约,所以请求可以满足,返回一个租约,还剩4个租约。 然后再请求一个租约,因为租约不够,阻塞到超时,还是没能满足,返回结果为null。
上面说讲的锁都是公平锁(fair)。 总ZooKeeper的角度看, 每个客户端都按照请求的顺序获得锁。 相当公平。
多锁对象 Multi Shared Lock
Multi Shared Lock是一个锁的容器。 当调用acquire
, 所有的锁都会被acquire
,如果请求失败,所有的锁都会被release。 同样调用release时所有的锁都被release(失败被忽略)。 基本上,它就是组锁的代表,在它上面的请求释放操作都会传递给它包含的所有的锁。
主要涉及两个类:
- InterProcessMultiLock
- InterProcessLock
它的构造函数需要包含的锁的集合,或者一组ZooKeeper的path。
public InterProcessMultiLock(List<InterProcessLock> locks)
public InterProcessMultiLock(CuratorFramework client, List<String> paths)
用法和Shared Lock相同。
例子如下:
package com.colobu.zkrecipe.lock;
import java.util.Arrays;
import java.util.concurrent.TimeUnit;
import org.apache.curator.framework.CuratorFramework;
import org.apache.curator.framework.CuratorFrameworkFactory;
import org.apache.curator.framework.recipes.locks.InterProcessLock;
import org.apache.curator.framework.recipes.locks.InterProcessMultiLock;
import org.apache.curator.framework.recipes.locks.InterProcessMutex;
import org.apache.curator.framework.recipes.locks.InterProcessSemaphoreMutex;
import org.apache.curator.retry.ExponentialBackoffRetry;
import org.apache.curator.test.TestingServer;
public class InterProcessMultiLockExample {
private static final String PATH1 = "/examples/locks1";
private static final String PATH2 = "/examples/locks2";
public static void main(String[] args) throws Exception {
FakeLimitedResource resource = new FakeLimitedResource();
try (TestingServer server = new TestingServer()) {
CuratorFramework client = CuratorFrameworkFactory.newClient(server.getConnectString(), new ExponentialBackoffRetry(1000, 3));
client.start();
InterProcessLock lock1 = new InterProcessMutex(client, PATH1);
InterProcessLock lock2 = new InterProcessSemaphoreMutex(client, PATH2);
InterProcessMultiLock lock = new InterProcessMultiLock(Arrays.asList(lock1, lock2));
if (!lock.acquire(10, TimeUnit.SECONDS)) {
throw new IllegalStateException("could not acquire the lock");
}
System.out.println("has the lock");
System.out.println("has the lock1: " + lock1.isAcquiredInThisProcess());
System.out.println("has the lock2: " + lock2.isAcquiredInThisProcess());
try {
resource.use(); //access resource exclusively
} finally {
System.out.println("releasing the lock");
lock.release(); // always release the lock in a finally block
}
System.out.println("has the lock1: " + lock1.isAcquiredInThisProcess());
System.out.println("has the lock2: " + lock2.isAcquiredInThisProcess());
}
}
}
新建一个InterProcessMultiLock, 包含一个重入锁和一个非重入锁。 调用acquire
后可以看到线程同时拥有了这两个锁。 调用release
看到这两个锁都被释放了。
再重申以便, 强烈推荐使用ConnectionStateListener监控连接的状态。
原创文章,转载请注明: 转载自并发编程网 – ifeve.com本文链接地址: 跟着实例学习ZooKeeper的用法: 分布式锁
“这个锁和上面的相比,就是少了Reentrant的功能,也就意味着它不能在同一个线程中重入。 这个类是InterProcessSemaphoreMutex。 使用方法和上面的类类似。”
InterProcessSemaphoreMutex与InterProcessMutex相比,并不仅仅是少了重入的特性,还增加了跨线程release锁的能力。准确的讲,正是因为InterProcessSemaphoreMutex支持跨线程release锁,它的互斥粒度是进程级别而不是线程级别,所以不支持线程级别的锁重入;并且由于它底层是基于信号量实现,所以也不支持进程级别的锁重入(默认的maxLeases=1)。所以总的来说它不支持重入特性。
重要的特性和区别没讲对,会误导人的。。。
“Multi Shared Lock是一个锁的容器。 当调用acquire, 所有的锁都会被acquire,如果请求失败,所有的锁都会被release。”
准确的讲,当acquire失败时,不是所有的锁都会被release,而是本次调用acquire被上的锁会被release。以还原到调用acquire之前的状态——那些在调用acquire之前已经被其他线程/进程加锁的锁不会受到当前线程调用InterProcessMultiLock.acquire受到影响。