docker 搭建zookeepr集群和kafka集群
搭建kafka集群需要先建好zookeeper集群。我们需要三个镜像，zookeeper、wurstmeister/kafka:2.12-2.0.1和sheepkiller/kafka-manager，其中sheepkiller/kafka-manager不是必须的。
下拉镜像
docker pull zookeeperdocker pull wurstmeister/kafka:2.12-2.0.1docker pull sheepkiller/kafka-manager需要用到的服务编排工具 docker compose，下载Docker Compose的当前稳定版本
curl -L "https://github.com/docker/compose/releases/download/1.24.0/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose
加权限
chmod +x /usr/local/bin/docker-compose测试安装是否成功，从下图可以看到docker-compose当前的版本号和权限状态
docker-compose --version
然后创建网络环境
docker network create --subnet=172.19.0.0/24 br17219docker network create --driver bridge --subnet 172.23.0.0/25 --gateway 172.23.0.1 zookeeper_network 创建docker-compose.yml文件，内容是：
version: '2'
services:
zoo1:
image: zookeeper # 镜像
restart: always # 重启
container_name: zoo1
hostname: zoo1
ports:
- "2181:2181"
volumes:
- "./zooConfig/zoo.cfg:/conf/zoo.cfg" # 配置
- "/root/zk1/data:/data"
- "/root/zk1/datalog:/datalog"
environment:
ZOO_MY_ID: 1 # id
ZOO_SERVERS: server.1=zoo1:2888:3888 server.2=zoo2:2888:3888 server.3=zoo3:2888:3888
networks:
default:
ipv4_address: 172.23.0.11
zoo2:
image: zookeeper
restart: always
container_name: zoo2
hostname: zoo2
ports:
- "2182:2181"
volumes:
- "./zooConfig/zoo.cfg:/conf/zoo.cfg"
- "/root/zk2/data:/data"
- "/root/zk2/datalog:/datalog"
environment:
ZOO_MY_ID: 2
ZOO_SERVERS: server.1=zoo1:2888:3888 server.2=zoo2:2888:3888 server.3=zoo3:2888:3888
networks:
default:
ipv4_address: 172.23.0.12
zoo3:
image: zookeeper
restart: always
container_name: zoo3
hostname: zoo3
ports:
- "2183:2181"
volumes:
- "./zooConfig/zoo.cfg:/conf/zoo.cfg"
- "/root/zk3/data:/data"
- "/root/zk3/datalog:/datalog"
environment:
ZOO_MY_ID: 3
ZOO_SERVERS: server.1=zoo1:2888:3888 server.2=zoo2:2888:3888 server.3=zoo3:2888:3888
networks:
default:
ipv4_address: 172.23.0.13
kafka1:
image: wurstmeister/kafka:2.12-2.0.1 # 镜像
restart: always
container_name: kafka1
hostname: kafka1
ports:
- 9092:9092
- 9999:9999
environment:
KAFKA_ZOOKEEPER_CONNECT: zoo1:2181,zoo2:2181,zoo3:2181
KAFKA_BROKER_ID: 3
KAFKA_LISTENERS: PLAINTEXT://172.23.0.14:9092
volumes:
- /etc/localtime:/etc/localtime
- "/root/kafka1/logs:/kafka"
links:
- zoo1
- zoo2
- zoo3
networks:
default:
ipv4_address: 172.23.0.14
kafka2:
image: wurstmeister/kafka:2.12-2.0.1
restart: always
container_name: kafka2
hostname: kafka2
ports:
- 9093:9092
- 9998:9999
environment:
KAFKA_ZOOKEEPER_CONNECT: zoo1:2181,zoo2:2181,zoo3:2181
KAFKA_BROKER_ID: 2
KAFKA_LISTENERS: PLAINTEXT://172.23.0.15:9092
volumes:
- /etc/localtime:/etc/localtime
- "/root/kafka2/logs:/kafka"
links:
- zoo1
- zoo2
- zoo3
networks:
default:
ipv4_address: 172.23.0.15
kafka3:
image: wurstmeister/kafka:2.12-2.0.1
restart: always
container_name: kafka3
hostname: kafka3
ports:
- 9094:9092
- 9997:9999
environment:
KAFKA_ZOOKEEPER_CONNECT: zoo1:2181,zoo2:2181,zoo3:2181
KAFKA_BROKER_ID: 0
KAFKA_LISTENERS: PLAINTEXT://172.23.0.16:9092
volumes:
- /etc/localtime:/etc/localtime
- "/root/kafka3/logs:/kafka"
links:
- zoo1
- zoo2
- zoo3
networks:
default:
ipv4_address: 172.23.0.16
kafka-manager:
image: sheepkiller/kafka-manager
restart: always
container_name: kafka-manager
hostname: kafka-manager
ports:
- 9000:9000
links:
- kafka1
- kafka2
- kafka3
- zoo1
- zoo2
- zoo3
environment:
ZK_HOSTS: zoo1:2181,zoo2:2181,zoo3:2181
KAFKA_BROKERS: kafka1:9092,kafka2:9092,kafka3:9092
APPLICATION_SECRET: letmein
KAFKA_MANAGER_AUTH_ENABLED: "true" # 开启验证
KAFKA_MANAGER_USERNAME: "admin" # 用户名
KAFKA_MANAGER_PASSWORD: "admin" # 密码
KM_ARGS: -Djava.net.preferIPv4Stack=true
networks:
default:
external:
name: zookeeper_network
注意这个路径，我们要现在这个路径下自己写好zoo.cfg文件，我们已经在docker-compose.yml文件中注明了myid的内容，不需要再单独创建
zoo.cfg文件的内容：
# 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=/data
dataLogDir=/datalog
# 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.
#
# http://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
server.1= zoo1:2888:3888
server.2= zoo2:2888:3888
server.3= zoo3:2888:3888接下来执行docker-compose.yml文件
docker-compose up -d #后台执行等文件执行完后doker ps查看当前运行中的容器，可以发现启动成功
接下来进入kafka容器测试收发消息：
docker exec -it kafka1 /bin/bash #进入kafka1容器创建test主题：
bin/kafka-topics.sh --create --zookeeper zoo1:2181 --replication-factor 3 --partitions 3 --topic test生产者发消息：
bin/kafka-console-producer.sh --broker-list kafka1:9092 --topic test再开一个xshell对话框，消费者收消息：（不管用哪个kafka都能收到消息才对，我们用kafka2测试收消息）
bin/kafka-console-consumer.sh --bootstrap-server Kafka:9092 --topic test --from-beginning