1.服务器规划

zookeeper 版本3.8.4

2.预先准备

2.1.ssh免密登录

ssh-keygen -t rsa

2.2 jdk 安装

略

2.3 配置host

sudo vim /etc/hosts

10.128.0.18 hadoop01
10.128.0.21 hadoop02
10.128.0.22 hadoop03

前面为机器对应的内网ip。

3.zookeeper配置

创建zkData目录

mkdir -p /opt/data/zk/zkData

在目录下创建文件myid，内容为编号数字1～N。每台机器一个数字。

vim myid

1
在文件中添加与 server 对应的编号（注意：上下不要有空行，左右不要有空格）。

修改配置zoo.cfg文件
改conf 这个目录下的 zoo_sample.cfg 为 zoo.cfg

zoo_sample.cfg zoo.cfg

修改数据存储路径配置和增加服务器信息

# The number of milliseconds of each tick
tickTime=2000
# The number of ticks that the initial 
# synchronization phase can take
initLimit=10
# The number of ticks that can pass between 
# sending a request and getting an acknowledgement
syncLimit=5
# the directory where the snapshot is stored.
# do not use /tmp for storage, /tmp here is just 
# example sakes.
dataDir=/opt/data/zk/zkData
# the port at which the clients will connect
clientPort=2181
# the maximum number of client connections.
# increase this if you need to handle more clients
#maxClientCnxns=60
#
# Be sure to read the maintenance section of the 
# administrator guide before turning on autopurge.
#
# https://zookeeper.apache.org/doc/current/zookeeperAdmin.html#sc_maintenance
#
# The number of snapshots to retain in dataDir
#autopurge.snapRetainCount=3
# Purge task interval in hours
# Set to "0" to disable auto purge feature
#autopurge.purgeInterval=1

## Metrics Providers
#
# https://prometheus.io Metrics Exporter
#metricsProvider.className=org.apache.zookeeper.metrics.prometheus.PrometheusMetricsProvider
#metricsProvider.httpHost=0.0.0.0
#metricsProvider.httpPort=7000
#metricsProvider.exportJvmInfo=true

server.1=hadoop01:2888:3888
server.2=hadoop02:2888:3888
server.3=hadoop03:2888:3888

4.启动集群

配置环境变量后，在每台机器上启动zkServer。

zkServer.sh start

验证zkServer状态

zkServer.sh status