zookeeper(目前只有安装)

安装

流程

学kafka的时候安装

Apache ZooKeeper

安装地址:https://archive.apache.org/dist/zookeeper/zookeeper-3.5.7/apache-zookeeper-3.5.7-bin.tar.gz

解压

tar -zxvf kafka_2.12-3.0.0.tgz -C /export/server/

改配置

XML 复制代码
cd config
cp zoo_sample.cfg zoo.cfg
vim zoo.cfg 

# the directory where the snapshot is stored.
# do not use /tmp for storage, /tmp here is just 
# example sakes.
dataDir=/export/server/zookeeper-3.5.7/zkdata


# 这里和server.几 和下面的myid匹配上
# 2888是正常leader端口,3888是备用端口
server.1=hadoop1:2888:3888
server.2=hadoop2:2888:3888
server.3=hadoop3:2888:3888

:wq

在设置的dataDir目录下创建一个名字叫myid的文件(必须叫myid!!!)

写入一个数(几都行,只要三个集群别一样)

[root@hadoop1 zkdata]# echo 1 > myid

[root@hadoop2 zkdata]# echo 2 > myid

[root@hadoop3 zkdata]# echo 3 > myid

fenfa

zoo.cfg配置解毒

XML 复制代码
# The number of milliseconds of each tick
# 每个滴答的毫秒数 心跳
tickTime=2000

# The number of ticks that the initial 
# synchronization phase can take 
# 初始同步阶段可以占用的心跳数  到了没连上就失败
initLimit=10

# The number of ticks that can pass between 
# sending a request and getting an acknowledgement
# 在发送请求和获得确认之间可以传递的心跳数
syncLimit=5

# the directory where the snapshot is stored.
# do not use /tmp for storage, /tmp here is just 
# example sakes.
# 快照所在的目录。不使用/ tmp为存储、/ tmp这里只是例子的缘故。
dataDir=/export/server/zookeeper-3.5.7/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
# 客户端连接的最大数量。如果需要处理更多客户端,请增加此值
#maxClientCnxns=60
#
# Be sure to read the maintenance section of the 
# administrator guide before turning on autopurge.
# 在开启自动督促之前,请务必阅读管理员指南的维护部分。
#
# http://zookeeper.apache.org/doc/current/zookeeperAdmin.html#sc_maintenance
#
# The number of snapshots to retain in dataDir
# dataDir中要保留的快照数量
#autopurge.snapRetainCount=3

# Purge task interval in hours
# Set to "0" to disable auto purge feature
# 清除任务间隔(小时)  设置为"0"表示禁用自动清除功能
#autopurge.purgeInterval=1

原神启动

hadoop1启动

[root@hadoop1 zookeeper-3.5.7]# bin/zkServer.sh start

ZooKeeper JMX enabled by default

Using config: /export/server/zookeeper-3.5.7/bin/../conf/zoo.cfg

Starting zookeeper ... STARTED
[root@hadoop1 zookeeper-3.5.7]# bin/zkServer.sh status

ZooKeeper JMX enabled by default

Using config: /export/server/zookeeper-3.5.7/bin/../conf/zoo.cfg

Client port found: 2181. Client address: localhost.

Error contacting service. It is probably not running.

一看状态居然失败了?因为另外两个没启动,不过半没法选出来leader

hadoop2/3也启动

bin/zkServer.sh start

现在hadoop1状态

[root@hadoop1 zookeeper-3.5.7]# bin/zkServer.sh status

ZooKeeper JMX enabled by default

Using config: /export/server/zookeeper-3.5.7/bin/../conf/zoo.cfg

Client port found: 2181. Client address: localhost.

Mode: follower

[root@hadoop2 zookeeper-3.5.7]# bin/zkServer.sh status

ZooKeeper JMX enabled by default

Using config: /export/server/zookeeper-3.5.7/bin/../conf/zoo.cfg

Client port found: 2181. Client address: localhost.
Mode: leader(hadoop2成leader了)

[root@hadoop3 zookeeper-3.5.7]# bin/zkServer.sh status

ZooKeeper JMX enabled by default

Using config: /export/server/zookeeper-3.5.7/bin/../conf/zoo.cfg

Client port found: 2181. Client address: localhost.

Mode: follower

批量启动脚本

#!/bin/bash
case $1 in
start)
    for i in hadoop1 hadoop2 hadoop3
    do
        echo ----------------  zookeeper $i start ----------------
        ssh $i "/export/server/zookeeper-3.5.7/bin/zkServer.sh start"
    done
    ;;
stop)
    for i in hadoop1 hadoop2 hadoop3
    do
        echo ----------------  zookeeper $i stop ----------------
        ssh $i "/export/server/zookeeper-3.5.7/bin/zkServer.sh stop"
    done
    ;;
status)
    for i in hadoop1 hadoop2 hadoop3
    do
        echo ----------------  zookeeper $i status ----------------
        ssh $i "/export/server/zookeeper-3.5.7/bin/zkServer.sh status"
    done
    ;;
*)
    echo "Usage: $0 {start|stop|status}"
    ;;
esac

chmod 777 zk

相关推荐
YCyjs2 小时前
K8S群集调度二
云原生·容器·kubernetes
Hoxy.R2 小时前
K8s小白入门
云原生·容器·kubernetes
WX187021128732 小时前
在分布式光伏电站如何进行电能质量的治理?
分布式
不能再留遗憾了5 小时前
RabbitMQ 高级特性——消息分发
分布式·rabbitmq·ruby
茶馆大橘5 小时前
微服务系列六:分布式事务与seata
分布式·docker·微服务·nacos·seata·springcloud
为什么这亚子8 小时前
九、Go语言快速入门之map
运维·开发语言·后端·算法·云原生·golang·云计算
材料苦逼不会梦到计算机白富美8 小时前
golang分布式缓存项目 Day 1
分布式·缓存·golang
想进大厂的小王8 小时前
项目架构介绍以及Spring cloud、redis、mq 等组件的基本认识
redis·分布式·后端·spring cloud·微服务·架构
Java 第一深情8 小时前
高性能分布式缓存Redis-数据管理与性能提升之道
redis·分布式·缓存
ZHOU西口10 小时前
微服务实战系列之玩转Docker(十八)
分布式·docker·云原生·架构·数据安全·etcd·rbac