分布式学习十一:搭建zookeeper集群
单机部署
之前发过一个单机部署教程,集群部署类似,这次我们通过docker-compse进行编排部署
http://www.php20.cn/article/sw/z/317 单机安装
制作docker镜像
由于centos8停止维护了,这次我们选择Ubuntu,新建dockerfile文件:
FROM ubuntu
ARG ZK_VERSION=3.8.0
WORKDIR /zk/
RUN apt-get update
RUN apt-get install curl -y
RUN apt-get install openjdk-8-jdk -y
RUN curl -o zookeeper.tar.gz https://downloads.apache.org/zookeeper/zookeeper-${ZK_VERSION}/apache-zookeeper-${ZK_VERSION}-bin.tar.gz
RUN tar -zvxf zookeeper.tar.gz && \cp -rf apache-zookeeper-${ZK_VERSION}-bin/* /zk/
RUN cp /zk/conf/zoo_sample.cfg /zk/conf/zoo.cfg
RUN rm -rf zookeeper.tar.g apache-zookeeper-${ZK_VERSION}-bin/
CMD ./bin/zkServer.sh start-foregroundbuild镜像:
docker build -t zk-test:v1 -f ./zkList/dockerfile/Dockerfile ./zkList/dockerfile启动:
docker run -it zk-test:v1可看到单机启动成功
docker-compose容器编排
容器编排目录结构
tioncico@xianshikedeMBP zkStudy % tree
.
└── zkList
├── docker-compose.yml
├── dockerfile
│ └── Dockerfile
└── service
├── zk01
│ ├── data
│ │ └── myid
│ └── zoo.cfg
├── zk02
│ ├── data
│ │ └── myid
│ └── zoo.cfg
├── zk03
│ ├── data
│ │ └── myid
│ └── zoo.cfg
├── zk04
│ ├── data
│ │ └── myid
│ └── zoo.cfg
└── zk05
├── data
│ └── myid
└── zoo.cfg编写docker-compose.yml
version: "3"
services:
zk01:
image: zk-test:v1
ports:
- "10001:2181"
volumes:
- ${SOURCE_DIR}/service/zk01/data:/zk/data/
- ${SOURCE_DIR}/service/zk01/data/myid:/zk/data/myid
- ${SOURCE_DIR}/service/zk01/zoo.cfg:/zk/conf/zoo.cfg
restart: always
networks:
- default
environment:
TZ: "Asia/Shanghai"
command: [ ./bin/zkServer.sh,start-foreground ]
zk02:
image: zk-test:v1
ports:
- "10002:2181"
volumes:
- ${SOURCE_DIR}/service/zk02/data:/zk/data/
- ${SOURCE_DIR}/service/zk02/data/myid:/zk/data/myid
- ${SOURCE_DIR}/service/zk02/zoo.cfg:/zk/conf/zoo.cfg
restart: always
networks:
- default
environment:
TZ: "Asia/Shanghai"
command: [ ./bin/zkServer.sh,start-foreground ]
zk03:
image: zk-test:v1
ports:
- "10003:2181"
volumes:
- ${SOURCE_DIR}/service/zk03/data:/zk/data/
- ${SOURCE_DIR}/service/zk03/data/myid:/zk/data/myid
- ${SOURCE_DIR}/service/zk03/zoo.cfg:/zk/conf/zoo.cfg
restart: always
networks:
- default
environment:
TZ: "Asia/Shanghai"
command: [ ./bin/zkServer.sh,start-foreground ]
zk04:
image: zk-test:v1
ports:
- "10004:2181"
volumes:
- ${SOURCE_DIR}/service/zk04/data:/zk/data/
- ${SOURCE_DIR}/service/zk04/data/myid:/zk/data/myid
- ${SOURCE_DIR}/service/zk04/zoo.cfg:/zk/conf/zoo.cfg
restart: always
networks:
- default
environment:
TZ: "Asia/Shanghai"
command: [ ./bin/zkServer.sh,start-foreground ]
zk05:
image: zk-test:v1
ports:
- "10005:2181"
volumes:
- ${SOURCE_DIR}/service/zk05/data:/zk/data/
- ${SOURCE_DIR}/service/zk05/data/myid:/zk/data/myid
- ${SOURCE_DIR}/service/zk05/zoo.cfg:/zk/conf/zoo.cfg
restart: always
networks:
- default
environment:
TZ: "Asia/Shanghai"
command: [ ./bin/zkServer.sh,start-foreground ]
networks:
default:注意 里面有个${SOURCE_DIR} 是.env 环境文件配置的
tioncico@xianshikedeMBP zkList % cat .env
SOURCE_DIR=./
tioncico@xianshikedeMBP zkList %编写zoo.cfg
# 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=/zk/data/
# the port at which the clients will connect
clientPort=2181
# 集群地址配置 server.A=B:C:D A为序号 B为ip地址或者host C为通信端口 D为集群选举端口
server.1=zk01:2888:3888
server.2=zk02:2888:3888
server.3=zk03:2888:3888
server.4=zk04:2888:3888
server.5=zk05:2888:3888
# 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编写myid
每个myid文件写上服务器编号即可,1-5
启动
docker-composer up
仙士可博客
验证集群
打开任意n个(n>2) 容器(多个shell窗口打开):
docker exec -it zklist_zk01_1 ./bin/zkCli.sh
docker exec -it zklist_zk02_1 ./bin/zkCli.sh
docker exec -it zklist_zk03_1 ./bin/zkCli.sh使用其中一个create /test
create /test 123456使用另外2个查询
get /test
仙士可博客
集群搭建成功
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原始发表：2022-03-12 ，如有侵权请联系 cloudcommunity@tencent.com 删除
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