CuratorFramework
Curator-Framework是ZooKeeper Client更高的抽象API，最佳核心的功能就是自动连接管理:
- 当ZooKeeper客户端内部出现异常, 将自动进行重连或重试, 该过程对外几乎完全透明
- 监控节点数据变化事件NodeDataChanged，需要时调用updateServerList()方法
- Curator recipes自动移除监控
CuratorFramework版本
目前Curator有2.x.x和3.x.x两个系列的版本，支持不同版本的Zookeeper。其中Curator 2.x.x兼容Zookeeper的3.4.x和3.5.x。而Curator 3.x.x只兼容Zookeeper 3.5.x，并且提供了一些诸如动态重新配置、watch删除等新特性。
更加清晰的API
简化了ZooKeeper原生的方法, 事件等, 提供流式fluent的接口，提供Recipes实现 : 选举，共享锁， 路径cache， 分布式队列，分布式优先队列等。
maven配置依赖
代码语言：html复制<!-- https://mvnrepository.com/artifact/org.apache.curator/curator-recipes -->
<dependency>
<groupId>org.apache.curator</groupId>
<artifactId>curator-recipes</artifactId>
<version>2.12.0</version>
</dependency>事务管理
代码语言：java复制/** 事务管理：碰到异常，事务会回滚
* 使用transaction()来控制事务
* @throws Exception
*/
public void testTransaction() throws Exception{
//定义几个基本操作
CuratorOp createOp = client.transactionOp().create()
.forPath("/curator/one_path","some data".getBytes());
CuratorOp setDataOp = client.transactionOp().setData()
.forPath("/curator","other data".getBytes());
CuratorOp deleteOp = client.transactionOp().delete()
.forPath("/curator");
//事务执行结果
List<CuratorTransactionResult> results = client.transaction()
.forOperations(createOp,setDataOp,deleteOp);
//遍历输出结果
for(CuratorTransactionResult result : results){
System.out.println("执行结果是： " result.getForPath() "--" result.getType());
}
}
//因为节点“/curator”存在子节点，所以在删除的时候将会报错，事务回滚监听器
Curator提供了三种Watcher(Cache)来监听结点的变化：
Path Cache：监视一个路径下
- 1）孩子结点的创建
- 2）删除
- 3）以及结点数据的更新。
产生的事件会传递给注册的PathChildrenCacheListener。
- Node Cache：监视一个结点的创建、更新、删除，并将结点的数据缓存在本地。
- Tree Cache：Path Cache和Node Cache的“合体”，监视路径下的创建、更新、删除事件，并缓存路径下所有孩子结点的数据。
/**
* 在注册监听器的时候，如果传入此参数，当事件触发时，逻辑由线程池处理
*/
ExecutorService pool = Executors.newFixedThreadPool(2);
/**
* 监听数据节点的变化情况
*/
final NodeCache nodeCache = new NodeCache(client, "/zk-huey/cnode", false);
nodeCache.start(true);
nodeCache.getListenable().addListener(
new NodeCacheListener() {
@Override
public void nodeChanged() throws Exception {
System.out.println("Node data is changed, new data: "
new String(nodeCache.getCurrentData().getData()));
}}, pool);
/**
* 监听子节点的变化情况
*/
final PathChildrenCache childrenCache = new PathChildrenCache(client, "/zk-huey", true);
childrenCache.start(StartMode.POST_INITIALIZED_EVENT);
childrenCache.getListenable().addListener(
new PathChildrenCacheListener() {
@Override
public void childEvent(CuratorFramework client, PathChildrenCacheEvent event) throws Exception {
switch (event.getType()) {
case CHILD_ADDED:
System.out.println("CHILD_ADDED: " event.getData().getPath());
break;
case CHILD_REMOVED:
System.out.println("CHILD_REMOVED: " event.getData().getPath());
break;
case CHILD_UPDATED:
System.out.println("CHILD_UPDATED: " event.getData().getPath());
break;
default:
break;
}
}
},
pool
);
client.setData().forPath("/zk-huey/cnode", "world".getBytes());
Thread.sleep(10 * 1000);
pool.shutdown();
client.close();分布式锁思路
最容易碰到的情况就是应用程序在线上多机部署，于是当多个应用同时访问某一资源时，就需要某种机制去协调它们。例如，现在一台应用正在rebuild缓存内容，要临时锁住某个区域暂时不让访问；又比如调度程序每次只想一个任务被一台应用执行等等。
下面的程序会启动两个线程t1和t2去争夺锁，拿到锁的线程会占用5秒。运行多次可以观察到，有时是t1先拿到锁而t2等待，有时又会反过来。Curator会用我们提供的lock路径的结点作为全局锁，每次获得锁时会生成这种串，释放锁时清空数据。
代码语言：java复制import org.apache.curator.framework.CuratorFramework;
import org.apache.curator.framework.CuratorFrameworkFactory;
import org.apache.curator.framework.recipes.locks.InterProcessMutex;
import org.apache.curator.retry.RetryNTimes;
import java.util.concurrent.TimeUnit;
/**
* Curator framework's distributed lock test.
*/
public class CuratorDistrLockTest {
/** Zookeeper info */
private static final String ZK_ADDRESS = "192.168.1.100:2181";
private static final String ZK_LOCK_PATH = "/zktest";
public static void main(String[] args) throws InterruptedException {
// 1.Connect to zk
CuratorFramework client = CuratorFrameworkFactory.newClient(
ZK_ADDRESS,
new RetryNTimes(10, 5000)
);
client.start();
System.out.println("zk client start successfully!");
Thread t1 = new Thread(() -> {
doWithLock(client);
}, "t1");
Thread t2 = new Thread(() -> {
doWithLock(client);
}, "t2");
t1.start();
t2.start();
}
private static void doWithLock(CuratorFramework client) {
InterProcessMutex lock = new InterProcessMutex(client, ZK_LOCK_PATH);
try {
if (lock.acquire(10 * 1000, TimeUnit.SECONDS)) {
System.out.println(Thread.currentThread().getName() " hold lock");
Thread.sleep(5000L);
System.out.println(Thread.currentThread().getName() " release lock");
}
} catch (Exception e) {
e.printStackTrace();
} finally {
try {
lock.release();
} catch (Exception e) {
e.printStackTrace();
}
}
}
}Leader选举
当集群里的某个服务down机时，我们可能要从slave结点里选出一个作为新的master，这时就需要一套能在分布式环境中自动协调的Leader选举方法。Curator提供了LeaderSelector监听器实现Leader选举功能。同一时刻，只有一个Listener会进入takeLeadership()方法，说明它是当前的Leader。
代码语言：java复制import org.apache.curator.framework.CuratorFramework;
import org.apache.curator.framework.CuratorFrameworkFactory;
import org.apache.curator.framework.recipes.leader.LeaderSelector;
import org.apache.curator.framework.recipes.leader.LeaderSelectorListener;
import org.apache.curator.framework.state.ConnectionState;
import org.apache.curator.retry.RetryNTimes;
import org.apache.curator.utils.EnsurePath;
/**
* Curator framework's leader election test.
* Output:
* LeaderSelector-2 take leadership!
* LeaderSelector-2 relinquish leadership!
* LeaderSelector-1 take leadership!
* LeaderSelector-1 relinquish leadership!
* LeaderSelector-0 take leadership!
* LeaderSelector-0 relinquish leadership!
* ...
*/
public class CuratorLeaderTest {
/** Zookeeper info */
private static final String ZK_ADDRESS = "192.168.1.100:2181";
private static final String ZK_PATH = "/zktest";
public static void main(String[] args) throws InterruptedException {
LeaderSelectorListener listener = new LeaderSelectorListener() {
@Override
public void takeLeadership(CuratorFramework client) throws Exception {
System.out.println(Thread.currentThread().getName() " take leadership!");
// takeLeadership() method should only return when leadership is being relinquished.
Thread.sleep(5000L);
System.out.println(Thread.currentThread().getName() " relinquish leadership!");
}
@Override
public void stateChanged(CuratorFramework client, ConnectionState state) {
}
};
new Thread(() -> {
registerListener(listener);
}).start();
new Thread(() -> {
registerListener(listener);
}).start();
new Thread(() -> {
registerListener(listener);
}).start();
Thread.sleep(Integer.MAX_VALUE);
}
private static void registerListener(LeaderSelectorListener listener) {
// 1.Connect to zk
CuratorFramework client = CuratorFrameworkFactory.newClient(
ZK_ADDRESS,
new RetryNTimes(10, 5000)
);
client.start();
// 2.Ensure path
try {
new EnsurePath(ZK_PATH).ensure(client.getZookeeperClient());
} catch (Exception e) {
e.printStackTrace();
}
// 3.Register listener
LeaderSelector selector = new LeaderSelector(client, ZK_PATH, listener);
selector.autoRequeue();
selector.start();
}
}注意：当Listener从takeLeadership()退出时就说明它放弃了“Leader身份”，这时Curator会利用Zookeeper再从剩余的Listener中选出一个新的Leader。autoRequeue()方法使放弃Leadership的Listener有机会重新获得Leadership，如果不设置的话放弃了的Listener是不会再变成Leader的。
参考资料
https://www.cnblogs.com/qingyunzong/p/8666288.html
