【Zookeeper】zk_客户端API_创建节点

客户端API操作

前提:保证服务器上zk集群服务端启动

配置maven依赖

复制代码
   <dependencies>
    <dependency>
        <groupId>junit</groupId>
        <artifactId>junit</artifactId>
        <version>RELEASE</version>
    </dependency>

    <dependency>
        <groupId>org.apache.logging.log4j</groupId>
        <artifactId>log4j-core</artifactId>
        <version>2.8.2</version>
    </dependency>

    <dependency>
        <groupId>org.apache.zookeeper</groupId>
        <artifactId>zookeeper</artifactId>
        <version>3.4.6</version>
    </dependency>
</dependencies>

拷贝log4j.properties文件到项目根目录

在项目的src/main/resources目录下,新建一个文件,命名为log4j.properties,在文件中填入

复制代码
log4j.rootLogger=INFO, stdout   
log4j.appender.stdout=org.apache.log4j.ConsoleAppender   
log4j.appender.stdout.layout=org.apache.log4j.PatternLayout   
log4j.appender.stdout.layout.ConversionPattern=%d %p [%c] - %m%n   
log4j.appender.logfile=org.apache.log4j.FileAppender   
log4j.appender.logfile.File=target/spring.log   
log4j.appender.logfile.layout=org.apache.log4j.PatternLayout   
log4j.appender.logfile.layout.ConversionPattern=%d %p [%c] 

创建zookeeper客户端

复制代码
package com.baidu.zk;

import org.apache.zookeeper.WatchedEvent;
import org.apache.zookeeper.Watcher;
import org.apache.zookeeper.ZooKeeper;
import org.junit.Test;

public class zkClient {

    @Test
    public void init()throws Exception{

        ZooKeeper zooKeeper = new ZooKeeper("master:2181,slave1:2181,slave2:2181", 100, new Watcher() {
            @Override
            public void process(WatchedEvent watchedEvent) {

            }
        });
    }
}

创建子节点

复制代码
package com.baidu.zk;
import org.apache.zookeeper.*;
import org.junit.Before;
import org.junit.Test;
public class zkClient {
    private ZooKeeper zkClient;
    @Before
    public void init()throws Exception{

        zkClient = new ZooKeeper("master:2181,slave1:2181,slave2:2181", 30000, new Watcher() {
            @Override
            public void process(WatchedEvent watchedEvent) {

            }
        });
    }

    @Test
    public void create() throws KeeperException, InterruptedException {

        String nodeCreated = zkClient.create("/sg", "zgl".getBytes(), ZooDefs.Ids.OPEN_ACL_UNSAFE, CreateMode.PERSISTENT);


    }
}

获取子节点并监听节点变化

复制代码
   @Test
    public void getChildren() throws Exception{

        List<String> children = zkClient.getChildren("/", true);
        for (String child : children) {
            System.out.println(child);
        }
    }

让程序不结束:

复制代码
     @Test
    public void getChildren() throws Exception {
        List<String> children = zkClient.getChildren("/", true);
        for (String child : children) {
            System.out.println(child);
        }
        Thread.sleep(Long.MAX_VALUE);
    }

  private ZooKeeper zkClient;
    @Before
    public void init() throws Exception {
        zkClient = new ZooKeeper("master:2181,slave1:2181,slave2:2181", 5000, new Watcher() {
            @Override
            public void process(WatchedEvent watchedEvent) {
                System.out.println("---------------------------");
                try {
                    List<String> children = zkClient.getChildren("/", true);
                    for (String child : children) {
                        System.out.println(child);
                    }
                    System.out.println("---------------------------");
                } catch (KeeperException e) {
                    e.printStackTrace();
                } catch (InterruptedException e) {
                    e.printStackTrace();
                }
            }
        });
        Thread.sleep(10000);
    }

判断Znode是否存在

复制代码
    @Test
    public void exist() throws Exception{
        Stat stat = zkClient.exists("/sanguo", false);

        System.out.println(stat == null ? "not exist" : "exist");
    }
相关推荐
zz-zjx5 小时前
Kubernetes 的部署方式 (二)通过 kubeasz部署单机版1.34.1
云原生·容器·kubernetes
是小崔啊6 小时前
叩丁狼k8s - 组件篇
云原生·容器·kubernetes
zz-zjx8 小时前
Kubernetes 的部署方式 (一)通过 Minikube 部署
云原生·容器·kubernetes
..空空的人8 小时前
C++基于protobuf实现仿RabbitMQ消息队列---项目设计
分布式·rabbitmq
毕设源码-赖学姐8 小时前
【开题答辩全过程】以 基于Spark的电商用户行为分析系统为例,包含答辩的问题和答案
大数据·分布式·spark
我认不到你9 小时前
paxos一致性算法(大白话+图解)
分布式·后端
川219 小时前
Kafka消息中间件(超大数据吞吐量)使用
分布式·kafka
Wang's Blog9 小时前
Kafka: 基于 NestJS 的问卷系统配置与业务实现
分布式·kafka
回家路上绕了弯9 小时前
一文读懂分布式事务:核心原理、解决方案与实践思考
分布式·后端
踏浪无痕9 小时前
JobFlow 背后:五个让我豁然开朗的设计瞬间
分布式·后端·架构