Zookeeper Java 客户端 ——Apache Curator
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# Zookeeper Java 客户端 ——Apache Curator
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# Zookeeper Java 客户端 ——Apache Curator
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<nav>
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<nav>
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<a href="#一基本依赖">一、基本依赖</a><br/>
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<a href="#一基本依赖">一、基本依赖</a><br/>
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<a href="#二客户端相关操作">二、客户端相关操作</a><br/>
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<a href="#二客户端相关操作">二、客户端相关操作</a><br/>
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<a href="#21-创建客户端实例">2.1 创建客户端实例</a><br/>
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<a href="#21-创建客户端实例">2.1 创建客户端实例</a><br/>
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@ -18,317 +19,318 @@
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<a href="#33-监听子节点">3.3 监听子节点</a><br/>
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<a href="#33-监听子节点">3.3 监听子节点</a><br/>
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</nav>
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</nav>
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## 一、基本依赖
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## 一、基本依赖
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Curator是Netflix公司开源的一个Zookeeper客户端,目前由Apache进行维护。与Zookeeper原生客户端相比,Curator的抽象层次更高,功能也更加丰富,是Zookeeper使用范围最广的Java客户端。本片文章主要讲解其基本使用,以下项目采用Maven构建,以单元测试的方法进行讲解,相关依赖如下:
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Curator是Netflix公司开源的一个Zookeeper客户端,目前由Apache进行维护。与Zookeeper原生客户端相比,Curator的抽象层次更高,功能也更加丰富,是目前Zookeeper使用范围最广的Java客户端。本篇文章主要讲解其基本使用,项目采用Maven构建,以单元测试的方法进行讲解,相关依赖如下:
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```xml
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```xml
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<dependencies>
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<dependencies>
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<dependency>
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<!--Curator相关依赖-->
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<groupId>org.apache.curator</groupId>
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<dependency>
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<artifactId>curator-framework</artifactId>
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<groupId>org.apache.curator</groupId>
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<version>4.0.0</version>
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<artifactId>curator-framework</artifactId>
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</dependency>
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<version>4.0.0</version>
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<dependency>
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</dependency>
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<groupId>org.apache.curator</groupId>
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<dependency>
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<artifactId>curator-recipes</artifactId>
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<groupId>org.apache.curator</groupId>
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<version>4.0.0</version>
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<artifactId>curator-recipes</artifactId>
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</dependency>
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<version>4.0.0</version>
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<dependency>
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</dependency>
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<groupId>org.apache.zookeeper</groupId>
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<dependency>
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<artifactId>zookeeper</artifactId>
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<groupId>org.apache.zookeeper</groupId>
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<version>3.4.13</version>
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<artifactId>zookeeper</artifactId>
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</dependency>
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<version>3.4.13</version>
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<!--单元测试相关依赖-->
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</dependency>
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<dependency>
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<!--单元测试相关依赖-->
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<groupId>junit</groupId>
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<dependency>
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<artifactId>junit</artifactId>
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<groupId>junit</groupId>
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<version>4.12</version>
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<artifactId>junit</artifactId>
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</dependency>
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<version>4.12</version>
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</dependencies>
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</dependency>
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```
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</dependencies>
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```
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> 完整源码见本仓库: https://github.com/heibaiying/BigData-Notes/tree/master/code/Zookeeper/curator
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> 完整源码见本仓库: https://github.com/heibaiying/BigData-Notes/tree/master/code/Zookeeper/curator
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## 二、客户端相关操作
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## 二、客户端相关操作
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### 2.1 创建客户端实例
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### 2.1 创建客户端实例
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这里使用`@Before`在单元测试执行前创建客户端实例,并使用`@After`在单元测试后关闭客户端连接。
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这里使用`@Before`在单元测试执行前创建客户端实例,并使用`@After`在单元测试后关闭客户端连接。
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```java
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public class BasicOperation {
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```java
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public class BasicOperation {
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private CuratorFramework client = null;
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private static final String zkServerPath = "192.168.0.226:2181";
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private CuratorFramework client = null;
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private static final String nodePath = "/hadoop/yarn";
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private static final String zkServerPath = "192.168.0.226:2181";
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private static final String nodePath = "/hadoop/yarn";
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@Before
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public void prepare() {
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@Before
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// 重试策略
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public void prepare() {
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RetryPolicy retryPolicy = new RetryNTimes(3, 5000);
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// 重试策略
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client = CuratorFrameworkFactory.builder()
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RetryPolicy retryPolicy = new RetryNTimes(3, 5000);
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.connectString(zkServerPath)
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client = CuratorFrameworkFactory.builder()
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.sessionTimeoutMs(10000).retryPolicy(retryPolicy)
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.connectString(zkServerPath)
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.namespace("workspace").build(); //指定命名空间后,client的所有路径操作都会以/workspace开头
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.sessionTimeoutMs(10000).retryPolicy(retryPolicy)
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client.start();
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.namespace("workspace").build(); //指定命名空间后,client的所有路径操作都会以/workspace开头
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}
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client.start();
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}
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@After
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public void destroy() {
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@After
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if (client != null) {
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public void destroy() {
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client.close();
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if (client != null) {
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}
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client.close();
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}
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}
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}
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}
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```
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}
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```
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### 2.2 重试策略
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### 2.2 重试策略
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在连接Zookeeper服务时候,Curator提供了多种重试策略以满足各种需求,所有重试策略继承自`RetryPolicy`接口,如下图:
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在连接Zookeeper时,Curator提供了多种重试策略以满足各种需求,所有重试策略均继承自`RetryPolicy`接口,如下图:
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<div align="center"> <img src="https://github.com/heibaiying/BigData-Notes/blob/master/pictures/curator-retry-policy.png"/> </div>
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<div align="center"> <img src="https://github.com/heibaiying/BigData-Notes/blob/master/pictures/curator-retry-policy.png"/> </div>
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而这些重试策略类又分为两大类别:
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这些重试策略类主要分为以下两类:
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+ RetryForever :代表一直重试,直到连接成功;
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+ SleepingRetry : 基于一定间隔时间的重试,这里以其子类`ExponentialBackoffRetry`为例说明,其构造器如下:
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+ **RetryForever** :代表一直重试,直到连接成功;
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+ **SleepingRetry** : 基于一定间隔时间的重试。这里以其子类`ExponentialBackoffRetry`为例说明,其构造器如下:
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```java
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/**
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```java
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* @param baseSleepTimeMs 重试之间等待的初始时间
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/**
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* @param maxRetries 最大重试次数
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* @param baseSleepTimeMs 重试之间等待的初始时间
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* @param maxSleepMs 每次重试间隔的最长睡眠时间(毫秒)
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* @param maxRetries 最大重试次数
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*/
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* @param maxSleepMs 每次重试间隔的最长睡眠时间(毫秒)
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ExponentialBackoffRetry(int baseSleepTimeMs, int maxRetries, int maxSleepMs)
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*/
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```
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ExponentialBackoffRetry(int baseSleepTimeMs, int maxRetries, int maxSleepMs)
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### 2.3 判断服务状态
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```
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### 2.3 判断服务状态
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```scala
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@Test
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```scala
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public void getStatus() {
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@Test
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CuratorFrameworkState state = client.getState();
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public void getStatus() {
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System.out.println("服务是否已经启动:" + (state == CuratorFrameworkState.STARTED));
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CuratorFrameworkState state = client.getState();
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}
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System.out.println("服务是否已经启动:" + (state == CuratorFrameworkState.STARTED));
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```
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}
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```
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## 三、节点增删改查
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## 三、节点增删改查
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### 3.1 创建节点
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### 3.1 创建节点
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```java
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@Test
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```java
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public void createNodes() throws Exception {
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@Test
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byte[] data = "abc".getBytes();
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public void createNodes() throws Exception {
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client.create().creatingParentsIfNeeded()
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byte[] data = "abc".getBytes();
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.withMode(CreateMode.PERSISTENT) //节点类型
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client.create().creatingParentsIfNeeded()
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.withACL(ZooDefs.Ids.OPEN_ACL_UNSAFE)
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.withMode(CreateMode.PERSISTENT) //节点类型
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.forPath(nodePath, data);
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.withACL(ZooDefs.Ids.OPEN_ACL_UNSAFE)
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}
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.forPath(nodePath, data);
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```
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}
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```
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创建时可以指定节点类型,这里的节点类型和Zookeeper原生的一致,全部定义在枚举类`CreateMode`中:
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创建时可以指定节点类型,这里的节点类型和Zookeeper原生的一致,全部类型定义在枚举类`CreateMode`中:
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```java
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public enum CreateMode {
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```java
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// 永久节点
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public enum CreateMode {
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PERSISTENT (0, false, false),
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// 永久节点
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//永久有序节点
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PERSISTENT (0, false, false),
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PERSISTENT_SEQUENTIAL (2, false, true),
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//永久有序节点
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// 临时节点
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PERSISTENT_SEQUENTIAL (2, false, true),
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EPHEMERAL (1, true, false),
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// 临时节点
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// 临时有序节点
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EPHEMERAL (1, true, false),
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EPHEMERAL_SEQUENTIAL (3, true, true);
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// 临时有序节点
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....
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EPHEMERAL_SEQUENTIAL (3, true, true);
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}
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....
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```
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}
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```
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### 2.2 获取节点信息
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### 2.2 获取节点信息
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```scala
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@Test
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```scala
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public void getNode() throws Exception {
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@Test
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Stat stat = new Stat();
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public void getNode() throws Exception {
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byte[] data = client.getData().storingStatIn(stat).forPath(nodePath);
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Stat stat = new Stat();
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System.out.println("节点数据:" + new String(data));
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byte[] data = client.getData().storingStatIn(stat).forPath(nodePath);
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System.out.println("节点信息:" + stat.toString());
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System.out.println("节点数据:" + new String(data));
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}
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System.out.println("节点信息:" + stat.toString());
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```
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}
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```
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如上所示,节点信息被封装在`Stat`类中,其主要属性如下:
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如上所示,节点信息被封装在`Stat`类中,其主要属性如下:
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```java
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public class Stat implements Record {
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```java
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private long czxid;
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public class Stat implements Record {
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private long mzxid;
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private long czxid;
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private long ctime;
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private long mzxid;
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private long mtime;
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private long ctime;
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private int version;
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private long mtime;
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private int cversion;
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private int version;
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private int aversion;
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private int cversion;
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private long ephemeralOwner;
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private int aversion;
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private int dataLength;
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private long ephemeralOwner;
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private int numChildren;
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private int dataLength;
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private long pzxid;
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private int numChildren;
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...
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private long pzxid;
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}
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...
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```
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}
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```
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每个属性的含义如下:
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每个属性的含义如下:
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| **状态属性** | **说明** |
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| -------------- | ------------------------------------------------------------ |
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| **状态属性** | **说明** |
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| czxid | 数据节点创建时的事务ID |
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| -------------- | ------------------------------------------------------------ |
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| ctime | 数据节点创建时的时间 |
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| czxid | 数据节点创建时的事务ID |
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| mzxid | 数据节点最后一次更新时的事务ID |
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| ctime | 数据节点创建时的时间 |
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| mtime | 数据节点最后一次更新时的时间 |
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| mzxid | 数据节点最后一次更新时的事务ID |
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| pzxid | 数据节点的子节点最后一次被修改时的事务ID |
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| mtime | 数据节点最后一次更新时的时间 |
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| cversion | 子节点的更改次数 |
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| pzxid | 数据节点的子节点最后一次被修改时的事务ID |
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| version | 节点数据的更改次数 |
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| cversion | 子节点的更改次数 |
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| aversion | 节点的ACL的更改次数 |
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| version | 节点数据的更改次数 |
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| ephemeralOwner | 如果节点是临时节点,则表示创建该节点的会话的SessionID;如果节点是持久节点,则该属性值为0 |
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| aversion | 节点的ACL的更改次数 |
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| dataLength | 数据内容的长度 |
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| ephemeralOwner | 如果节点是临时节点,则表示创建该节点的会话的SessionID;如果节点是持久节点,则该属性值为0 |
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| numChildren | 数据节点当前的子节点个数 |
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| dataLength | 数据内容的长度 |
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| numChildren | 数据节点当前的子节点个数 |
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### 2.3 获取子节点列表
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### 2.3 获取子节点列表
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```java
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@Test
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```java
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public void getChildrenNodes() throws Exception {
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@Test
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List<String> childNodes = client.getChildren().forPath("/hadoop");
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public void getChildrenNodes() throws Exception {
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for (String s : childNodes) {
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List<String> childNodes = client.getChildren().forPath("/hadoop");
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System.out.println(s);
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for (String s : childNodes) {
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}
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System.out.println(s);
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}
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}
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```
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}
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```
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### 2.4 更新节点
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### 2.4 更新节点
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更新时可以传入版本号也可以不传入,如果传入则类似于乐观锁机制,只有在版本号正确的时候才会被更新。
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更新时可以传入版本号也可以不传入,如果传入则类似于乐观锁机制,只有在版本号正确的时候才会被更新。
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```scala
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@Test
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```scala
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public void updateNode() throws Exception {
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@Test
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byte[] newData = "defg".getBytes();
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public void updateNode() throws Exception {
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client.setData().withVersion(0) // 传入版本号,如果版本号错误则拒绝更新操作,并抛出BadVersion异常
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byte[] newData = "defg".getBytes();
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.forPath(nodePath, newData);
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client.setData().withVersion(0) // 传入版本号,如果版本号错误则拒绝更新操作,并抛出BadVersion异常
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}
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.forPath(nodePath, newData);
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```
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}
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```
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### 2.5 删除节点
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### 2.5 删除节点
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```java
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@Test
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```java
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public void deleteNodes() throws Exception {
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@Test
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client.delete()
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public void deleteNodes() throws Exception {
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.guaranteed() // 如果删除失败,那么在会继续执行,直到成功
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client.delete()
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.deletingChildrenIfNeeded() // 如果有子节点,则递归删除
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.guaranteed() // 如果删除失败,那么在会继续执行,直到成功
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.withVersion(0) // 传入版本号,如果版本号错误则拒绝删除操作,并抛出BadVersion异常
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.deletingChildrenIfNeeded() // 如果有子节点,则递归删除
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.forPath(nodePath);
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.withVersion(0) // 传入版本号,如果版本号错误则拒绝删除操作,并抛出BadVersion异常
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}
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.forPath(nodePath);
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```
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}
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```
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### 2.6 判断节点是否存在
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### 2.6 判断节点是否存在
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```java
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@Test
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```java
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public void existNode() throws Exception {
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@Test
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// 如果节点存在则返回其状态信息如果不存在则为null
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public void existNode() throws Exception {
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Stat stat = client.checkExists().forPath(nodePath + "aa/bb/cc");
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// 如果节点存在则返回其状态信息如果不存在则为null
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System.out.println("节点是否存在:" + !(stat == null));
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Stat stat = client.checkExists().forPath(nodePath + "aa/bb/cc");
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}
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System.out.println("节点是否存在:" + !(stat == null));
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```
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}
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```
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## 三、监听事件
|
|
||||||
|
## 三、监听事件
|
||||||
### 3.1 创建一次性监听
|
|
||||||
|
### 3.1 创建一次性监听
|
||||||
和Zookeeper原生监听一样,使用`usingWatcher`注册的监听是一次性的,即监听只会触发一次,触发后就销毁。示例如下:
|
|
||||||
|
和Zookeeper原生监听一样,使用`usingWatcher`注册的监听是一次性的,即监听只会触发一次,触发后就销毁。示例如下:
|
||||||
```java
|
|
||||||
@Test
|
```java
|
||||||
public void DisposableWatch() throws Exception {
|
@Test
|
||||||
client.getData().usingWatcher(new CuratorWatcher() {
|
public void DisposableWatch() throws Exception {
|
||||||
public void process(WatchedEvent event) {
|
client.getData().usingWatcher(new CuratorWatcher() {
|
||||||
System.out.println("节点" + event.getPath() + "发生了事件:" + event.getType());
|
public void process(WatchedEvent event) {
|
||||||
}
|
System.out.println("节点" + event.getPath() + "发生了事件:" + event.getType());
|
||||||
}).forPath(nodePath);
|
}
|
||||||
Thread.sleep(1000 * 1000); //休眠以观察测试效果
|
}).forPath(nodePath);
|
||||||
}
|
Thread.sleep(1000 * 1000); //休眠以观察测试效果
|
||||||
```
|
}
|
||||||
|
```
|
||||||
### 3.2 创建永久监听
|
|
||||||
|
### 3.2 创建永久监听
|
||||||
Curator还提供了创建永久监听的API,其使用方式如下:
|
|
||||||
|
Curator还提供了创建永久监听的API,其使用方式如下:
|
||||||
```java
|
|
||||||
@Test
|
```java
|
||||||
public void permanentWatch() throws Exception {
|
@Test
|
||||||
// 使用NodeCache包装节点,对其注册的监听作用于节点,且是永久性的
|
public void permanentWatch() throws Exception {
|
||||||
NodeCache nodeCache = new NodeCache(client, nodePath);
|
// 使用NodeCache包装节点,对其注册的监听作用于节点,且是永久性的
|
||||||
// 通常设置为true, 代表创建nodeCache时,就去获取对应节点的值并缓存
|
NodeCache nodeCache = new NodeCache(client, nodePath);
|
||||||
nodeCache.start(true);
|
// 通常设置为true, 代表创建nodeCache时,就去获取对应节点的值并缓存
|
||||||
nodeCache.getListenable().addListener(new NodeCacheListener() {
|
nodeCache.start(true);
|
||||||
public void nodeChanged() {
|
nodeCache.getListenable().addListener(new NodeCacheListener() {
|
||||||
ChildData currentData = nodeCache.getCurrentData();
|
public void nodeChanged() {
|
||||||
if (currentData != null) {
|
ChildData currentData = nodeCache.getCurrentData();
|
||||||
System.out.println("节点路径:" + currentData.getPath() +
|
if (currentData != null) {
|
||||||
"数据:" + new String(currentData.getData()));
|
System.out.println("节点路径:" + currentData.getPath() +
|
||||||
}
|
"数据:" + new String(currentData.getData()));
|
||||||
}
|
}
|
||||||
});
|
}
|
||||||
Thread.sleep(1000 * 1000); //休眠以观察测试效果
|
});
|
||||||
}
|
Thread.sleep(1000 * 1000); //休眠以观察测试效果
|
||||||
```
|
}
|
||||||
|
```
|
||||||
### 3.3 监听子节点
|
|
||||||
|
### 3.3 监听子节点
|
||||||
这里以监听`/hadoop`下所有子节点为例,实现方式如下:
|
|
||||||
|
这里以监听`/hadoop`下所有子节点为例,实现方式如下:
|
||||||
```scala
|
|
||||||
@Test
|
```scala
|
||||||
public void permanentChildrenNodesWatch() throws Exception {
|
@Test
|
||||||
|
public void permanentChildrenNodesWatch() throws Exception {
|
||||||
// 第三个参数代表除了节点状态外,是否还缓存节点内容
|
|
||||||
PathChildrenCache childrenCache = new PathChildrenCache(client, "/hadoop", true);
|
// 第三个参数代表除了节点状态外,是否还缓存节点内容
|
||||||
/*
|
PathChildrenCache childrenCache = new PathChildrenCache(client, "/hadoop", true);
|
||||||
* StartMode代表初始化方式:
|
/*
|
||||||
* NORMAL: 异步初始化
|
* StartMode代表初始化方式:
|
||||||
* BUILD_INITIAL_CACHE: 同步初始化
|
* NORMAL: 异步初始化
|
||||||
* POST_INITIALIZED_EVENT: 异步并通知,初始化之后会触发INITIALIZED事件
|
* BUILD_INITIAL_CACHE: 同步初始化
|
||||||
*/
|
* POST_INITIALIZED_EVENT: 异步并通知,初始化之后会触发INITIALIZED事件
|
||||||
childrenCache.start(StartMode.POST_INITIALIZED_EVENT);
|
*/
|
||||||
|
childrenCache.start(StartMode.POST_INITIALIZED_EVENT);
|
||||||
List<ChildData> childDataList = childrenCache.getCurrentData();
|
|
||||||
System.out.println("当前数据节点的子节点列表:");
|
List<ChildData> childDataList = childrenCache.getCurrentData();
|
||||||
childDataList.forEach(x -> System.out.println(x.getPath()));
|
System.out.println("当前数据节点的子节点列表:");
|
||||||
|
childDataList.forEach(x -> System.out.println(x.getPath()));
|
||||||
childrenCache.getListenable().addListener(new PathChildrenCacheListener() {
|
|
||||||
public void childEvent(CuratorFramework client, PathChildrenCacheEvent event) {
|
childrenCache.getListenable().addListener(new PathChildrenCacheListener() {
|
||||||
switch (event.getType()) {
|
public void childEvent(CuratorFramework client, PathChildrenCacheEvent event) {
|
||||||
case INITIALIZED:
|
switch (event.getType()) {
|
||||||
System.out.println("childrenCache初始化完成");
|
case INITIALIZED:
|
||||||
break;
|
System.out.println("childrenCache初始化完成");
|
||||||
case CHILD_ADDED:
|
break;
|
||||||
// 需要注意的是: 即使是之前已经存在的子节点,也会触发该监听,因为会把该子节点加入childrenCache缓存中
|
case CHILD_ADDED:
|
||||||
System.out.println("增加子节点:" + event.getData().getPath());
|
// 需要注意的是: 即使是之前已经存在的子节点,也会触发该监听,因为会把该子节点加入childrenCache缓存中
|
||||||
break;
|
System.out.println("增加子节点:" + event.getData().getPath());
|
||||||
case CHILD_REMOVED:
|
break;
|
||||||
System.out.println("删除子节点:" + event.getData().getPath());
|
case CHILD_REMOVED:
|
||||||
break;
|
System.out.println("删除子节点:" + event.getData().getPath());
|
||||||
case CHILD_UPDATED:
|
break;
|
||||||
System.out.println("被修改的子节点的路径:" + event.getData().getPath());
|
case CHILD_UPDATED:
|
||||||
System.out.println("修改后的数据:" + new String(event.getData().getData()));
|
System.out.println("被修改的子节点的路径:" + event.getData().getPath());
|
||||||
break;
|
System.out.println("修改后的数据:" + new String(event.getData().getData()));
|
||||||
}
|
break;
|
||||||
}
|
}
|
||||||
});
|
}
|
||||||
Thread.sleep(1000 * 1000); //休眠以观察测试效果
|
});
|
||||||
}
|
Thread.sleep(1000 * 1000); //休眠以观察测试效果
|
||||||
|
}
|
||||||
```
|
```
|
Loading…
x
Reference in New Issue
Block a user