20200209 ZooKeeper 4. Zookeeper实战(开发重点)

ZooKeeper 4. Zookeeper实战(开发重点)

4.1 分布式安装部署

  1. 新建文件夹/opt/zk_cluster

  2. 将zookeeper压缩包加压到文件夹下,并重命名为cluster1

    tar -zxvf apache-zookeeper-3.5.6-bin.tar.gz -C ./zk_cluster/
  3. 在cluster1里新建文件夹zkData

  4. 在zkData文件夹下新建文件myid,内容为1

    echo 1 >> cluster1/zkData/myid
  5. 复制conf目录下的zoo_sample.cfg文件为zoo.cfg

    cp zoo_sample.cfg zoo.cfg
  6. 修改zoo.cfg的内容

    dataDir=/opt/zk_cluster/cluster1/zkData
    clientPort=2187
    ###########Cluster##################
    server.1=192.168.181.128:12887:13887
    server.2=192.168.181.128:12888:13888
    server.3=192.168.181.128:12889:13889
  7. 将cluster1复制为cluster2、cluster3

    cp -r cluster1/ cluster2
    cp -r cluster1/ cluster3
  8. 将cluster2和cluster3中的zkData/myid内的内容修改为2、3

  9. 修改cluster2和cluster3中的zoo.cfg的内容

  10. 验证

    启动三个ZooKeeper,查看状态

      ./cluster1/bin/zkServer.sh start
      ./cluster1/bin/zkServer.sh status
    [root@hwjsLinux zk_cluster]# ./cluster1/bin/zkServer.sh status
    /usr/bin/java
    ZooKeeper JMX enabled by default
    Using config: /opt/zk_cluster/cluster1/bin/../conf/zoo.cfg
    Client port found: 2187. Client address: localhost.
    Mode: follower

4.2 客户端命令行操作

命令 描述
ls path [watch] 使用 ls 命令来查看当前znode中所包含的内容
ls2 path [watch] 查看当前节点数据并能看到更新次数等数据
create 普通创建 -s 含有序列 -e 临时(重启或者超时消失)
get path [watch] 获得节点的值
set 设置节点的具体值
stat 查看节点状态
delete 删除节点
rmr 递归删除节点
  1. 启动客户端

    ./zkCli.sh -server localhost:2187
  2. 显示所有操作命令

    help
  3. 查看当前znode中所包含的内容

    [zk: localhost:2181(CONNECTED) 0] ls /
    [zookeeper]
  4. 查看当前节点详细数据

    [zk: localhost:2181(CONNECTED) 1] ls2 /
    [zookeeper]
    cZxid = 0x0
    ctime = Thu Jan 01 08:00:00 CST 1970
    mZxid = 0x0
    mtime = Thu Jan 01 08:00:00 CST 1970
    pZxid = 0x0
    cversion = -1
    dataVersion = 0
    aclVersion = 0
    ephemeralOwner = 0x0
    dataLength = 0
    numChildren = 1
  5. 分别创建2个普通节点

    [zk: localhost:2181(CONNECTED) 3] create /sanguo "jinlian"
    Created /sanguo
    [zk: localhost:2181(CONNECTED) 4] create /sanguo/shuguo "liubei"
    Created /sanguo/shuguo
  6. 获得节点的值

    [zk: localhost:2181(CONNECTED) 5] get /sanguo
    jinlian
    cZxid = 0x100000003
    ctime = Wed Aug 29 00:03:23 CST 2018
    mZxid = 0x100000003
    mtime = Wed Aug 29 00:03:23 CST 2018
    pZxid = 0x100000004
    cversion = 1
    dataVersion = 0
    aclVersion = 0
    ephemeralOwner = 0x0
    dataLength = 7
    numChildren = 1
    [zk: localhost:2181(CONNECTED) 6] get /sanguo/shuguo
    liubei
    cZxid = 0x100000004
    ctime = Wed Aug 29 00:04:35 CST 2018
    mZxid = 0x100000004
    mtime = Wed Aug 29 00:04:35 CST 2018
    pZxid = 0x100000004
    cversion = 0
    dataVersion = 0
    aclVersion = 0
    ephemeralOwner = 0x0
    dataLength = 6
    numChildren = 0
  7. 创建短暂节点

    [zk: localhost:2181(CONNECTED) 7] create -e /sanguo/wuguo "zhouyu"
    Created /sanguo/wuguo

    (1)在当前客户端是能查看到的

    [zk: localhost:2181(CONNECTED) 3] ls /sanguo 
    [wuguo, shuguo]

    (2)退出当前客户端然后再重启客户端

    [zk: localhost:2181(CONNECTED) 12] quit
    [atguigu@hadoop104 zookeeper-3.4.10]$ bin/zkCli.sh

    (3)再次查看根目录下短暂节点已经删除

    [zk: localhost:2181(CONNECTED) 0] ls /sanguo
    [shuguo]
  8. 创建带序号的节点

​ (1)先创建一个普通的根节点/sanguo/weiguo

[zk: localhost:2181(CONNECTED) 1] create /sanguo/weiguo "caocao"
Created /sanguo/weiguo

​ (2)创建带序号的节点

[zk: localhost:2181(CONNECTED) 2] create -s /sanguo/weiguo/xiaoqiao "jinlian"
Created /sanguo/weiguo/xiaoqiao0000000000
[zk: localhost:2181(CONNECTED) 3] create -s /sanguo/weiguo/daqiao "jinlian"
Created /sanguo/weiguo/daqiao0000000001
[zk: localhost:2181(CONNECTED) 4] create -s /sanguo/weiguo/diaocan "jinlian"
Created /sanguo/weiguo/diaocan0000000002

​ 如果原来没有序号节点,序号从0开始依次递增。如果原节点下已有2个节点,则再排序时从2开始,以此类推。

  1. 修改节点数据值

    [zk: localhost:2181(CONNECTED) 6] set /sanguo/weiguo "simayi"
  2. 节点的值变化监听

​ (1)在hadoop104主机上注册监听/sanguo节点数据变化

[zk: localhost:2181(CONNECTED) 26] [zk: localhost:2181(CONNECTED) 8] get /sanguo watch

​ (2)在hadoop103主机上修改/sanguo节点的数据

[zk: localhost:2181(CONNECTED) 1] set /sanguo "xisi"

​ (3)观察hadoop104主机收到数据变化的监听

WATCHER::
WatchedEvent state:SyncConnected type:NodeDataChanged path:/sanguo
  1. 节点的子节点变化监听(路径变化)

​ (1)在hadoop104主机上注册监听/sanguo节点的子节点变化

[zk: localhost:2181(CONNECTED) 1] ls /sanguo watch
[aa0000000001, server101]

​ (2)在hadoop103主机/sanguo节点上创建子节点

[zk: localhost:2181(CONNECTED) 2] create /sanguo/jin "simayi"
Created /sanguo/jin

​ (3)观察hadoop104主机收到子节点变化的监听

WATCHER::
WatchedEvent state:SyncConnected type:NodeChildrenChanged path:/sanguo
  1. 删除节点
[zk: localhost:2181(CONNECTED) 4] delete /sanguo/jin
  1. 递归删除节点
[zk: localhost:2181(CONNECTED) 15] rmr /sanguo/shuguo
  1. 查看节点状态
[zk: localhost:2181(CONNECTED) 17] stat /sanguo
cZxid = 0x100000003
ctime = Wed Aug 29 00:03:23 CST 2018
mZxid = 0x100000011
mtime = Wed Aug 29 00:21:23 CST 2018
pZxid = 0x100000014
cversion = 9
dataVersion = 1
aclVersion = 0
ephemeralOwner = 0x0
dataLength = 4
numChildren = 1

4.3 API应用

  1. pom.xml

         <dependency>
             <groupId>org.apache.zookeeper</groupId>
             <artifactId>zookeeper</artifactId>
             <version>3.4.10</version>
         </dependency>
  2. 测试代码

    public class TestZookeeper {
    
     // private String connectString="hadoop102:2181,hadoop103:2181,hadoop104:2181";
     private String connectString="192.168.181.128:2187,192.168.181.128:2188,192.168.181.128:2189";
     private int sessionTimeout = 2000;
     private ZooKeeper zkClient;
    
     @Before
     public void init() throws IOException{
    
         zkClient = new ZooKeeper(connectString, sessionTimeout , new Watcher() {
    
             @Override
             public void process(WatchedEvent event) {
    
                 System.out.println("---------start----------");
                 List<String> children;
                 try {
                     children = zkClient.getChildren("/", true);
    
                     for (String child : children) {
                         System.out.println(child);
                     }
                     System.out.println("---------end----------");
                 } catch (Exception e) {
                     e.printStackTrace();
                 }
             }
         });
     }
    
     // 1 创建节点
     @Test
     public void createNode() throws KeeperException, InterruptedException{
    
         String path = zkClient.create("/atguigu", "dahaigezuishuai".getBytes(), Ids.OPEN_ACL_UNSAFE, CreateMode.PERSISTENT);
    
         System.out.println(path);
    
     }
    
     // 2 获取子节点 并监控节点的变化
     @Test
     public void getDataAndWatch() throws KeeperException, InterruptedException{
    
         List<String> children = zkClient.getChildren("/", true);
    
         for (String child : children) {
             System.out.println(child);
         }
    
         Thread.sleep(Long.MAX_VALUE);
     }
    
     // 3 判断节点是否存在
     @Test
     public void exist() throws KeeperException, InterruptedException{
         Stat stat = zkClient.exists("/atguigu", false);
         System.out.println(stat==null? "not exist":"exist");
     }
    }

4.4 监听服务器节点动态上下线案例

  1. 需求

    某分布式系统中,主节点可以有多台,可以动态上下线,任意一台客户端都能实时感知到主节点服务器的上下线。

  2. 具体实现

    服务端代码

    public class DistributeServer {
    
     public static void main(String[] args) throws Exception {
         String hostname = "test4";
    
         DistributeServer server = new DistributeServer();
    
         // 1 连接zookeeper集群
         server.getConnect();
    
         // 2 注册节点
         server.regist(hostname);
    
         // 3 业务逻辑处理
         server.business();
     }
    
     private void business() throws InterruptedException {
    
         Thread.sleep(Long.MAX_VALUE);
     }
    
     private void regist(String hostname) throws KeeperException, InterruptedException {
    
         String path = zkClient.create("/servers/server", hostname.getBytes(), Ids.OPEN_ACL_UNSAFE, CreateMode.EPHEMERAL_SEQUENTIAL);
    
         System.out.println(hostname +" is online ");
    
     }
    
     // private String connectString = "hadoop102:2181,hadoop103:2181,hadoop104:2181";
     private String connectString="192.168.181.128:2187,192.168.181.128:2188,192.168.181.128:2189";
     private int sessionTimeout = 2000;
     private ZooKeeper zkClient;
    
     private void getConnect() throws IOException {
    
         zkClient = new ZooKeeper(connectString , sessionTimeout , new Watcher() {
    
             @Override
             public void process(WatchedEvent event) {
                 // TODO Auto-generated method stub
    
             }
         });
     }
    }

    客户端代码

    public class DistributeClient {
    
     public static void main(String[] args) throws IOException, KeeperException, InterruptedException {
    
         DistributeClient client = new DistributeClient();
    
         // 1 获取zookeeper集群连接
         client.getConnect();
    
         // 2 注册监听
         client.getChlidren();
    
         // 3 业务逻辑处理
         client.business();
    
     }
    
     private void business() throws InterruptedException {
         Thread.sleep(Long.MAX_VALUE);
     }
    
     private void getChlidren() throws KeeperException, InterruptedException {
    
         List<String> children = zkClient.getChildren("/servers", true);
    
         // 存储服务器节点主机名称集合
         ArrayList<String> hosts = new ArrayList<>();
    
         for (String child : children) {
    
             byte[] data = zkClient.getData("/servers/"+child, false, null);
    
             hosts.add(new String(data));
         }
    
         // 将所有在线主机名称打印到控制台
         System.out.println(hosts);
    
     }
    
     // private String connectString = "hadoop102:2181,hadoop103:2181,hadoop104:2181";
     private String connectString="192.168.181.128:2187,192.168.181.128:2188,192.168.181.128:2189";
     private int sessionTimeout = 2000;
     private ZooKeeper zkClient;
    
     private void getConnect() throws IOException {
    
         zkClient = new ZooKeeper(connectString , sessionTimeout , new Watcher() {
    
             @Override
             public void process(WatchedEvent event) {
    
                 try {
                     getChlidren();
                 } catch (KeeperException e) {
                     e.printStackTrace();
                 } catch (InterruptedException e) {
                     e.printStackTrace();
                 }
             }
         });
    
     }
    }
  3. 测试

    客户端随着服务端的启动、停止动态获得服务器信息。

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转载自www.cnblogs.com/huangwenjie/p/12287578.html