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@ -1,226 +1,240 @@
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# 基于Zookeeper搭建Kafka高可用集群
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## 一、Zookeeper集群搭建
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为保证集群高可用，Zookeeper集群的节点数最好是奇数，最少有三个节点，所以这里搭建一个三个节点的集群。
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### 1.1 下载 & 解压
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下载对应版本Zookeeper，这里我下载的版本`3.4.14`。官方下载地址：https://archive.apache.org/dist/zookeeper/
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```shell
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# 下载
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wget https://archive.apache.org/dist/zookeeper/zookeeper-3.4.14/zookeeper-3.4.14.tar.gz
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# 解压
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tar -zxvf zookeeper-3.4.14.tar.gz
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```
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### 1.2 修改配置
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拷贝三份zookeeper安装包。分别进入安装目录的`conf`目录，拷贝配置样本`zoo_sample.cfg `为`zoo.cfg`并进行修改，修改后三份配置文件内容分别如下：
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zookeeper01配置：
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```shell
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tickTime=2000
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initLimit=10
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syncLimit=5
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dataDir=/usr/local/zookeeper-cluster/data/01
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dataLogDir=/usr/local/zookeeper-cluster/log/01
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clientPort=2181
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# server.1 这个1是服务器的标识，可以是任意有效数字，标识这是第几个服务器节点，这个标识要写到dataDir目录下面myid文件里
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# 指名集群间通讯端口和选举端口
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server.1=127.0.0.1:2287:3387
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server.2=127.0.0.1:2288:3388
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server.3=127.0.0.1:2289:3389
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```
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> 如果是多台服务器，则集群中每个节点通讯端口和选举端口可相同，IP地址修改为每个节点所在主机IP即可。
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zookeeper02配置，与zookeeper01相比，只有`dataLogDir`和`dataLogDir`不同：
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```shell
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tickTime=2000
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initLimit=10
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syncLimit=5
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dataDir=/usr/local/zookeeper-cluster/data/02
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dataLogDir=/usr/local/zookeeper-cluster/log/02
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clientPort=2182
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server.1=127.0.0.1:2287:3387
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server.2=127.0.0.1:2288:3388
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server.3=127.0.0.1:2289:3389
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```
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zookeeper03配置，与zookeeper01，02相比，也只有`dataLogDir`和`dataLogDir`不同：
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```shell
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tickTime=2000
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initLimit=10
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syncLimit=5
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dataDir=/usr/local/zookeeper-cluster/data/03
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dataLogDir=/usr/local/zookeeper-cluster/log/03
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clientPort=2183
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server.1=127.0.0.1:2287:3387
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server.2=127.0.0.1:2288:3388
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server.3=127.0.0.1:2289:3389
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```
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> 配置参数说明：
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>
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> - **tickTime**：用于计算的基础时间单元。比如session超时：N*tickTime；
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> - **initLimit**：用于集群，允许从节点连接并同步到 master节点的初始化连接时间，以tickTime的倍数来表示；
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> - **syncLimit**：用于集群， master主节点与从节点之间发送消息，请求和应答时间长度（心跳机制）；
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> - **dataDir**：数据存储位置；
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> - **dataLogDir**：日志目录；
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> - **clientPort**：用于客户端连接的端口，默认2181
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### 1.3 标识节点
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分别在三个节点的数据存储目录下新建`myid`文件,并写入对应的节点标识。Zookeeper集群通过`myid`文件识别集群节点，并通过上文配置的节点通信端口和选举端口来进行节点通信，选举出leader节点。
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创建存储目录：
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```shell
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# dataDir
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mkdir -vp /usr/local/zookeeper-cluster/data/01
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# dataDir
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mkdir -vp /usr/local/zookeeper-cluster/data/02
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# dataDir
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mkdir -vp /usr/local/zookeeper-cluster/data/03
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```
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创建并写入节点标识到`myid`文件：
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```shell
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#server1
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echo "1" > /usr/local/zookeeper-cluster/data/01/myid
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#server2
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echo "2" > /usr/local/zookeeper-cluster/data/02/myid
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#server3
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echo "3" > /usr/local/zookeeper-cluster/data/03/myid
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```
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### 1.4 启动集群
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分别启动三个节点：
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```shell
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# 启动节点1
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/usr/app/zookeeper-cluster/zookeeper01/bin/zkServer.sh start
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# 启动节点2
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/usr/app/zookeeper-cluster/zookeeper02/bin/zkServer.sh start
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# 启动节点3
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/usr/app/zookeeper-cluster/zookeeper03/bin/zkServer.sh start
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```
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### 1.5 集群验证
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使用jps查看进程，并且使用`zkServer.sh status`查看集群各个节点状态。如图三个节点进程均启动成功，并且两个节点为follower节点，一个节点为leader节点。
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<div align="center"> <img src="https://github.com/heibaiying/BigData-Notes/blob/master/pictures/zookeeper-cluster.png"/> </div>
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## 二、Kafka集群搭建
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### 2.1 下载解压
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Kafka安装包官方下载地址：http://kafka.apache.org/downloads ，本用例下载的版本为`2.2.0`，下载命令：
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```shell
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# 下载
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wget https://www-eu.apache.org/dist/kafka/2.2.0/kafka_2.12-2.2.0.tgz
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# 解压
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tar -xzf kafka_2.12-2.2.0.tgz
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```
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>这里j解释一下kafka安装包的命名规则：以`kafka_2.12-2.2.0.tgz`为例，前面的2.12代表Scala的版本号（Kafka采用Scala语言进行开发），后面的2.2.0则代表Kafka的版本号。
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### 2.2 拷贝配置文件
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进入解压目录的` config`目录下 ，拷贝三份配置文件
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```shell
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# cp server.properties server-1.properties
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# cp server.properties server-2.properties
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# cp server.properties server-3.properties
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```
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### 2.3 修改配置
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分别修改三份配置文件中的部分配置，如下：
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server-1.properties：
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```properties
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# The id of the broker. 集群中每个节点的唯一标识
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broker.id=0
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# 监听地址
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listeners=PLAINTEXT://hadoop001:9092
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# 日志文件存放位置
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log.dirs=/usr/local/kafka-logs/00
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# Zookeeper连接地址
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zookeeper.connect=hadoop001:2181,hadoop001:2182,hadoop001:2183
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```
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server-2.properties：
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```properties
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broker.id=1
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listeners=PLAINTEXT://hadoop001:9093
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log.dirs=/usr/local/kafka-logs/01
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zookeeper.connect=hadoop001:2181,hadoop001:2182,hadoop001:2183
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```
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server-3.properties：
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```properties
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broker.id=2
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listeners=PLAINTEXT://hadoop001:9094
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log.dirs=/usr/local/kafka-logs/02
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zookeeper.connect=hadoop001:2181,hadoop001:2182,hadoop001:2183
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```
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### 2.4 启动集群
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分别指定不同配置文件，启动三个Kafka节点。启动后可以使用jps查看进程，此时应该有三个zookeeper进程和三个kafka进程。
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```shell
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bin/kafka-server-start.sh config/server-1.properties
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bin/kafka-server-start.sh config/server-2.properties
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bin/kafka-server-start.sh config/server-3.properties
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```
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### 2.5 创建测试主题
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创建测试主题：
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```shell
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bin/kafka-topics.sh --create --bootstrap-server hadoop001:9092 --replication-factor 3 --partitions 1 --topic my-replicated-topic
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```
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创建后可以使用以下命令查看创建的主题信息：
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```shell
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bin/kafka-topics.sh --describe --bootstrap-server hadoop001:9092 --topic my-replicated-topic
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```
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你也可以创建一个消费者和生产者进行连通测试：
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```shell
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# 创建生产者
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bin/kafka-console-producer.sh --broker-list hadoop001:9093 --topic my-replicated-topic
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```
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```shell
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# 创建消费者
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bin/kafka-console-consumer.sh --bootstrap-server hadoop001:9094 --from-beginning --topic my-replicated-topic
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```
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# 基于Zookeeper搭建Kafka高可用集群
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<nav>
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<a href="#一Zookeeper集群搭建">一、Zookeeper集群搭建</a><br/>
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<a href="#11-下载--解压">1.1 下载 & 解压</a><br/>
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<a href="#12-修改配置">1.2 修改配置</a><br/>
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<a href="#13-标识节点">1.3 标识节点</a><br/>
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<a href="#14-启动集群">1.4 启动集群</a><br/>
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<a href="#15-集群验证">1.5 集群验证</a><br/>
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<a href="#二Kafka集群搭建">二、Kafka集群搭建</a><br/>
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<a href="#21-下载解压">2.1 下载解压</a><br/>
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<a href="#22-拷贝配置文件">2.2 拷贝配置文件</a><br/>
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<a href="#23-修改配置">2.3 修改配置</a><br/>
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<a href="#24-启动集群">2.4 启动集群</a><br/>
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<a href="#25-创建测试主题">2.5 创建测试主题</a><br/>
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</nav>
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## 一、Zookeeper集群搭建
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为保证集群高可用，Zookeeper集群的节点数最好是奇数，最少有三个节点，所以这里搭建一个三个节点的集群。
|
||||
|
||||
### 1.1 下载 & 解压
|
||||
|
||||
下载对应版本Zookeeper，这里我下载的版本`3.4.14`。官方下载地址：https://archive.apache.org/dist/zookeeper/
|
||||
|
||||
```shell
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# 下载
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wget https://archive.apache.org/dist/zookeeper/zookeeper-3.4.14/zookeeper-3.4.14.tar.gz
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# 解压
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tar -zxvf zookeeper-3.4.14.tar.gz
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```
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### 1.2 修改配置
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拷贝三份zookeeper安装包。分别进入安装目录的`conf`目录，拷贝配置样本`zoo_sample.cfg `为`zoo.cfg`并进行修改，修改后三份配置文件内容分别如下：
|
||||
|
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zookeeper01配置：
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||||
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```shell
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tickTime=2000
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initLimit=10
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syncLimit=5
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dataDir=/usr/local/zookeeper-cluster/data/01
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dataLogDir=/usr/local/zookeeper-cluster/log/01
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clientPort=2181
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|
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# server.1 这个1是服务器的标识，可以是任意有效数字，标识这是第几个服务器节点，这个标识要写到dataDir目录下面myid文件里
|
||||
# 指名集群间通讯端口和选举端口
|
||||
server.1=127.0.0.1:2287:3387
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||||
server.2=127.0.0.1:2288:3388
|
||||
server.3=127.0.0.1:2289:3389
|
||||
```
|
||||
|
||||
> 如果是多台服务器，则集群中每个节点通讯端口和选举端口可相同，IP地址修改为每个节点所在主机IP即可。
|
||||
|
||||
zookeeper02配置，与zookeeper01相比，只有`dataLogDir`和`dataLogDir`不同：
|
||||
|
||||
```shell
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tickTime=2000
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initLimit=10
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syncLimit=5
|
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dataDir=/usr/local/zookeeper-cluster/data/02
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dataLogDir=/usr/local/zookeeper-cluster/log/02
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clientPort=2182
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server.1=127.0.0.1:2287:3387
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server.2=127.0.0.1:2288:3388
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server.3=127.0.0.1:2289:3389
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```
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zookeeper03配置，与zookeeper01，02相比，也只有`dataLogDir`和`dataLogDir`不同：
|
||||
|
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```shell
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tickTime=2000
|
||||
initLimit=10
|
||||
syncLimit=5
|
||||
dataDir=/usr/local/zookeeper-cluster/data/03
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dataLogDir=/usr/local/zookeeper-cluster/log/03
|
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clientPort=2183
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server.1=127.0.0.1:2287:3387
|
||||
server.2=127.0.0.1:2288:3388
|
||||
server.3=127.0.0.1:2289:3389
|
||||
```
|
||||
|
||||
> 配置参数说明：
|
||||
>
|
||||
> - **tickTime**：用于计算的基础时间单元。比如session超时：N*tickTime；
|
||||
> - **initLimit**：用于集群，允许从节点连接并同步到 master节点的初始化连接时间，以tickTime的倍数来表示；
|
||||
> - **syncLimit**：用于集群， master主节点与从节点之间发送消息，请求和应答时间长度（心跳机制）；
|
||||
> - **dataDir**：数据存储位置；
|
||||
> - **dataLogDir**：日志目录；
|
||||
> - **clientPort**：用于客户端连接的端口，默认2181
|
||||
|
||||
|
||||
|
||||
### 1.3 标识节点
|
||||
|
||||
分别在三个节点的数据存储目录下新建`myid`文件,并写入对应的节点标识。Zookeeper集群通过`myid`文件识别集群节点，并通过上文配置的节点通信端口和选举端口来进行节点通信，选举出leader节点。
|
||||
|
||||
创建存储目录：
|
||||
|
||||
```shell
|
||||
# dataDir
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||||
mkdir -vp /usr/local/zookeeper-cluster/data/01
|
||||
# dataDir
|
||||
mkdir -vp /usr/local/zookeeper-cluster/data/02
|
||||
# dataDir
|
||||
mkdir -vp /usr/local/zookeeper-cluster/data/03
|
||||
```
|
||||
|
||||
创建并写入节点标识到`myid`文件：
|
||||
|
||||
```shell
|
||||
#server1
|
||||
echo "1" > /usr/local/zookeeper-cluster/data/01/myid
|
||||
#server2
|
||||
echo "2" > /usr/local/zookeeper-cluster/data/02/myid
|
||||
#server3
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||||
echo "3" > /usr/local/zookeeper-cluster/data/03/myid
|
||||
```
|
||||
|
||||
### 1.4 启动集群
|
||||
|
||||
分别启动三个节点：
|
||||
|
||||
```shell
|
||||
# 启动节点1
|
||||
/usr/app/zookeeper-cluster/zookeeper01/bin/zkServer.sh start
|
||||
# 启动节点2
|
||||
/usr/app/zookeeper-cluster/zookeeper02/bin/zkServer.sh start
|
||||
# 启动节点3
|
||||
/usr/app/zookeeper-cluster/zookeeper03/bin/zkServer.sh start
|
||||
```
|
||||
|
||||
### 1.5 集群验证
|
||||
|
||||
使用jps查看进程，并且使用`zkServer.sh status`查看集群各个节点状态。如图三个节点进程均启动成功，并且两个节点为follower节点，一个节点为leader节点。
|
||||
|
||||
<div align="center"> <img src="https://github.com/heibaiying/BigData-Notes/blob/master/pictures/zookeeper-cluster.png"/> </div>
|
||||
|
||||
|
||||
|
||||
## 二、Kafka集群搭建
|
||||
|
||||
### 2.1 下载解压
|
||||
|
||||
Kafka安装包官方下载地址：http://kafka.apache.org/downloads ，本用例下载的版本为`2.2.0`，下载命令：
|
||||
|
||||
```shell
|
||||
# 下载
|
||||
wget https://www-eu.apache.org/dist/kafka/2.2.0/kafka_2.12-2.2.0.tgz
|
||||
# 解压
|
||||
tar -xzf kafka_2.12-2.2.0.tgz
|
||||
```
|
||||
|
||||
>这里j解释一下kafka安装包的命名规则：以`kafka_2.12-2.2.0.tgz`为例，前面的2.12代表Scala的版本号（Kafka采用Scala语言进行开发），后面的2.2.0则代表Kafka的版本号。
|
||||
|
||||
### 2.2 拷贝配置文件
|
||||
|
||||
进入解压目录的` config`目录下 ，拷贝三份配置文件
|
||||
|
||||
```shell
|
||||
# cp server.properties server-1.properties
|
||||
# cp server.properties server-2.properties
|
||||
# cp server.properties server-3.properties
|
||||
```
|
||||
|
||||
### 2.3 修改配置
|
||||
|
||||
分别修改三份配置文件中的部分配置，如下：
|
||||
|
||||
server-1.properties：
|
||||
|
||||
```properties
|
||||
# The id of the broker. 集群中每个节点的唯一标识
|
||||
broker.id=0
|
||||
# 监听地址
|
||||
listeners=PLAINTEXT://hadoop001:9092
|
||||
# 日志文件存放位置
|
||||
log.dirs=/usr/local/kafka-logs/00
|
||||
# Zookeeper连接地址
|
||||
zookeeper.connect=hadoop001:2181,hadoop001:2182,hadoop001:2183
|
||||
```
|
||||
|
||||
server-2.properties：
|
||||
|
||||
```properties
|
||||
broker.id=1
|
||||
listeners=PLAINTEXT://hadoop001:9093
|
||||
log.dirs=/usr/local/kafka-logs/01
|
||||
zookeeper.connect=hadoop001:2181,hadoop001:2182,hadoop001:2183
|
||||
```
|
||||
|
||||
server-3.properties：
|
||||
|
||||
```properties
|
||||
broker.id=2
|
||||
listeners=PLAINTEXT://hadoop001:9094
|
||||
log.dirs=/usr/local/kafka-logs/02
|
||||
zookeeper.connect=hadoop001:2181,hadoop001:2182,hadoop001:2183
|
||||
```
|
||||
|
||||
### 2.4 启动集群
|
||||
|
||||
分别指定不同配置文件，启动三个Kafka节点。启动后可以使用jps查看进程，此时应该有三个zookeeper进程和三个kafka进程。
|
||||
|
||||
```shell
|
||||
bin/kafka-server-start.sh config/server-1.properties
|
||||
bin/kafka-server-start.sh config/server-2.properties
|
||||
bin/kafka-server-start.sh config/server-3.properties
|
||||
```
|
||||
|
||||
### 2.5 创建测试主题
|
||||
|
||||
创建测试主题：
|
||||
|
||||
```shell
|
||||
bin/kafka-topics.sh --create --bootstrap-server hadoop001:9092 --replication-factor 3 --partitions 1 --topic my-replicated-topic
|
||||
```
|
||||
|
||||
创建后可以使用以下命令查看创建的主题信息：
|
||||
|
||||
```shell
|
||||
bin/kafka-topics.sh --describe --bootstrap-server hadoop001:9092 --topic my-replicated-topic
|
||||
```
|
||||
|
||||
<div align="center"> <img src="https://github.com/heibaiying/BigData-Notes/blob/master/pictures/kafka-cluster-shell.png"/> </div>
|
||||
|
||||
你也可以创建一个消费者和生产者进行连通测试：
|
||||
|
||||
```shell
|
||||
# 创建生产者
|
||||
bin/kafka-console-producer.sh --broker-list hadoop001:9093 --topic my-replicated-topic
|
||||
```
|
||||
|
||||
```shell
|
||||
# 创建消费者
|
||||
bin/kafka-console-consumer.sh --bootstrap-server hadoop001:9094 --from-beginning --topic my-replicated-topic
|
||||
```
|
||||
|
||||
Reference in New Issue
Block a user