234 lines
6.9 KiB
Markdown
234 lines
6.9 KiB
Markdown
# Zookeeper单机环境和集群环境搭建
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<nav>
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<a href="#一单机环境搭建">一、单机环境搭建</a><br/>
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<a href="#11-下载">1.1 下载</a><br/>
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<a href="#12-解压">1.2 解压</a><br/>
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<a href="#13-配置环境变量">1.3 配置环境变量</a><br/>
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<a href="#14-修改配置">1.4 修改配置</a><br/>
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<a href="#15-启动">1.5 启动</a><br/>
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<a href="#16-验证">1.6 验证</a><br/>
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<a href="#二集群环境搭建">二、集群环境搭建</a><br/>
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<a href="#21-修改配置">2.1 修改配置</a><br/>
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<a href="#22-标识节点">2.2 标识节点</a><br/>
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<a href="#23-启动集群">2.3 启动集群</a><br/>
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<a href="#24-集群验证">2.4 集群验证</a><br/>
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</nav>
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## 一、单机环境搭建
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### 1.1 下载
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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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# wget https://archive.apache.org/dist/zookeeper/zookeeper-3.4.14/zookeeper-3.4.14.tar.gz
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```
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### 1.2 解压
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```shell
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# tar -zxvf zookeeper-3.4.14.tar.gz
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```
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### 1.3 配置环境变量
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```shell
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# vim /etc/profile
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```
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添加环境变量：
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```shell
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export ZOOKEEPER_HOME=/usr/app/zookeeper-3.4.14
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export PATH=$ZOOKEEPER_HOME/bin:$PATH
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```
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使得配置的环境变量生效：
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```shell
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# source /etc/profile
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```
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### 1.4 修改配置
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进入安装目录的`conf/`目录下，拷贝配置样本并进行修改
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```
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# cp zoo_sample.cfg zoo.cfg
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```
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指定数据存储目录和日志文件目录（目录不用预先创建，程序会自动创建），修改后完整配置如下：
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```properties
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# The number of milliseconds of each tick
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tickTime=2000
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# The number of ticks that the initial
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# synchronization phase can take
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initLimit=10
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# The number of ticks that can pass between
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# sending a request and getting an acknowledgement
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syncLimit=5
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# the directory where the snapshot is stored.
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# do not use /tmp for storage, /tmp here is just
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# example sakes.
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dataDir=/usr/local/zookeeper/data
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dataLogDir=/usr/local/zookeeper/log
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# the port at which the clients will connect
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clientPort=2181
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# the maximum number of client connections.
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# increase this if you need to handle more clients
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#maxClientCnxns=60
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#
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# Be sure to read the maintenance section of the
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# administrator guide before turning on autopurge.
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#
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# http://zookeeper.apache.org/doc/current/zookeeperAdmin.html#sc_maintenance
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#
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# The number of snapshots to retain in dataDir
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#autopurge.snapRetainCount=3
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# Purge task interval in hours
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# Set to "0" to disable auto purge feature
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#autopurge.purgeInterval=1
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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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### 1.5 启动
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由于已经配置过环境变量，直接使用下面命令启动即可
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```
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zkServer.sh start
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```
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### 1.6 验证
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使用JPS验证进程是否已经启动，出现`QuorumPeerMain`则代表启动成功
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```shell
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[root@hadoop001 bin]# jps
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3814 QuorumPeerMain
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```
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## 二、集群环境搭建
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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，所以这里演示搭建一个三个节点的集群。
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> 以下演示为单机上搭建集群，对于Zookeeper，多机集群搭建步骤和单机一致。
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### 2.1 修改配置
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拷贝三份zookeeper安装包，分别修改其配置文件`zoo.cfg`，主要是修改`dataDir`、`dataLogDir`以及配置集群信息。
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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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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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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，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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> 为节省篇幅，以上配置文件均略去英文注释
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### 2.2 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。
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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，并选举出leader节点，从而搭建出集群。
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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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### 2.3 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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### 2.4 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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