Zookeeper 能保证数据的强一致性,用户任何时候都可以相信集群中每个节点的数据都是相同的。一个用户创建一个节点作为锁,另一个用户检测该节点,如果存在,代表别的用户已经锁住,如果不存在,则可以创建一个节点,代表拥有一个锁。
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本篇内容包括:Demo 概述、代码实现、测试结果
文章目录
一、Demo 概述
1、关于 zookeeper “命名服务协调”
Zookeeper 能保证数据的强一致性,用户任何时候都可以相信集群中每个节点的数据都是相同的。一个用户创建一个节点作为锁,另一个用户检测该节点,如果存在,代表别的用户已经锁住,如果不存在,则可以创建一个节点,代表拥有一个锁。
2、Demo 设计
分布式锁本质,就是多个资源竞争者对一份资源的排他占有
- 我们设置多个线程,分别在同一 path 下创建节点
- 没个线程获取当前 path 下子节点,看最小子节点是否为自身,是则加锁成功(更好的方式是用 Watcher 对前一个地址监控,这里图方便用子节点排序取最小的方式 )
- 线程加锁成功后,执行任务,执行完毕后解锁
3、Demo 前提
参考:Mac通过Docker安装Zookeeper集群
二、代码实现
1、引用 Maven 依赖
<!-- 选择对应的Zookeeper版本 --><dependency><groupId>org.apache.zookeeper</groupId><artifactId>zookeeper</artifactId><version>3.7.0</version></dependency>
2、ConnectionWatcher 类创建 Zookeeper 连接
importjava.io.IOException;importjava.util.concurrent.CountDownLatch;importorg.apache.zookeeper.WatchedEvent;importorg.apache.zookeeper.Watcher;importorg.apache.zookeeper.ZooKeeper;publicclassConnectionWatcherimplementsWatcher{privatefinalCountDownLatch connectedSignal =newCountDownLatch(1);privatestaticfinalintSESSION_TIMEOUT=5000;protectedZooKeeper zk;publicvoidconnect(String hosts)throwsIOException,InterruptedException{
zk =newZooKeeper(hosts,SESSION_TIMEOUT,this);
connectedSignal.await();}@Overridepublicvoidprocess(WatchedEvent event){if(event.getState()==Event.KeeperState.SyncConnected){
connectedSignal.countDown();}}publicvoidclose()throwsInterruptedException{
zk.close();}}
3、ActiveKeyValueStore 类读写 Zookeeper 数据
importjava.nio.charset.Charset;importjava.nio.charset.StandardCharsets;importjava.util.List;importorg.apache.zookeeper.CreateMode;importorg.apache.zookeeper.KeeperException;importorg.apache.zookeeper.Watcher;importorg.apache.zookeeper.ZooDefs;importorg.apache.zookeeper.data.Stat;publicclassActiveKeyValueStoreextendsConnectionWatcher{privatestaticfinalCharsetCHARSET=StandardCharsets.UTF_8;int state =0;/**
* 写入节点数据
*
* @param path 节点地址
* @param value 数据值
* @throws InterruptedException 中断异常
* @throws KeeperException ZooKeeper异常
*/publicvoidwrite(String path,String value)throwsInterruptedException,KeeperException{Stat stat = zk.exists(path,false);if(stat ==null){if(value ==null){
zk.create(path,null,ZooDefs.Ids.OPEN_ACL_UNSAFE,CreateMode.PERSISTENT);}else{
zk.create(path, value.getBytes(CHARSET),ZooDefs.Ids.OPEN_ACL_UNSAFE,CreateMode.PERSISTENT);}}else{if(value ==null){
zk.setData(path,null,-1);}else{
zk.setData(path, value.getBytes(CHARSET),-1);}}}publicbooleanlock(String path,String name)throwsInterruptedException,KeeperException{boolean flag =tryLock(path, name);if(flag){
state++;}return flag;}publicbooleantryLock(String path,String name)throwsInterruptedException,KeeperException{String lockPath = path +"/"+ name;
zk.create(lockPath,null,ZooDefs.Ids.OPEN_ACL_UNSAFE,CreateMode.EPHEMERAL);List<String> waits =readChildren(path,null);Collections.sort(waits);if(waits.get(0).equals(name)){returntrue;}CountDownLatch latch =newCountDownLatch(1);for(int i =0; i < waits.size(); i++){String cur = waits.get(i);if(!cur.equalsIgnoreCase(name)){continue;}String prePath = path +"/"+ waits.get(i -1);
zk.exists(prePath,newWatcher(){@Overridepublicvoidprocess(WatchedEvent event){
latch.countDown();}});break;}
latch.await();returntrue;}publicbooleanunlock(String path,String name){if(state >1){
state--;returntrue;}String lockPath = path +"/"+ name;try{Stat stat = zk.exists(lockPath,false);int version = stat.getVersion();
zk.delete(lockPath, version);
state--;returntrue;}catch(Exception e){System.out.println("unlock:"+ lockPath +" ,exception,");}returnfalse;}/**
* 获取所有子节点
*
* @param path 节点地址
* @param watcher watcher
* @return 所有子节点
* @throws InterruptedException 中断异常
* @throws KeeperException ZooKeeper异常
*/publicList<String>readChildren(String path,Watcher watcher)throwsInterruptedException,KeeperException{List<String> childrens =null;if(watcher ==null){
childrens = zk.getChildren(path,false);}else{
childrens = zk.getChildren(path, watcher,null);}return childrens;}}
4、ZkLock 类实现分布式锁
importlombok.SneakyThrows;importorg.apache.zookeeper.KeeperException;importjava.io.IOException;importjava.util.concurrent.CountDownLatch;importjava.util.concurrent.TimeUnit;publicclassZkLock{/**
* 开启的线程数,模拟多客户端操作
*/privatestaticfinalintCLIENTS_NUM=3;privatefinalActiveKeyValueStore store;publicZkLock(String hosts)throwsIOException,InterruptedException{//定义一个类
store =newActiveKeyValueStore();//连接Zookeeper
store.connect(hosts);}publicstaticvoidtestLock(){//线程计数器控制业务的执行finalCountDownLatch countDownLatch =newCountDownLatch(CLIENTS_NUM);for(int i =0; i <CLIENTS_NUM; i++){newThread(){@Overridepublicvoidrun(){}}.start();}try{// 堵塞线程,任务执行完后释放
countDownLatch.await();}catch(InterruptedException e){
e.printStackTrace();}}publicstaticvoidmain(String[] args)throwsIOException,InterruptedException,KeeperException{String hosts ="localhost:2181";ZkLock zkLock =newZkLock(hosts);// 创建父节点
zkLock.store.write("/lock4","父亲节点");//CountDownLatch latch =newCountDownLatch(CLIENTS_NUM);for(int i =0; i <CLIENTS_NUM; i++){int finalI = i;newThread(){@SneakyThrows@Overridepublicvoidrun(){String name ="Thread-"+String.valueOf(finalI);
zkLock.store.lock("/lock4", name);TimeUnit.SECONDS.sleep(2);System.out.println("线程-"+ name +"执行完毕");
latch.countDown();
zkLock.store.unlock("/lock4", name);}}.start();}
latch.await();System.out.println("end ...");}}
三、测试结果
ZkLock 代码测试结果如下:
线程-Thread-0执行完毕
线程-Thread-1执行完毕
线程-Thread-2执行完毕
end ...
通过 ZkLock 打印的信息可以看出,已经成功模拟实现分布式锁
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