使用Docker快速搭建Zookeeper和kafka集群

使用Docker快速搭建Zookeeper和kafka集群

镜像选择

Zookeeper和Kafka集群分别运行在不同的容器中
zookeeper官方镜像,版本3.4
kafka采用wurstmeister/kafka镜像

集群规划

hostnameIp addrportlistener
zoo1 172.19.0.11 2184:2181  
zoo2 172.19.0.12 2185:2181  
zoo3 172.19.0.13 2186:2181  
kafka1 172.19.0.14 9092:9092 kafka1
kafka2 172.19.0.15 9093:9093 kafka2
Kafka3 172.19.0.16 9094:9094 Kafka3
宿主机root OSX 192.168.21.139【DHCP获取,会变动】  

实现目标

kafka集群在docker网络中可用,和zookeeper处于同一网络
宿主机可以访问zookeeper集群和kafka的broker list
docker重启时集群自动重启
集群的数据文件映射到宿主机器目录中
使用yml文件和$ docker-compose up -d命令创建或重建集群

$ docker-compose up -d

zk集群的docker-compose.yml

version: '3.4'

services:
  zoo1:
    image: zookeeper
    restart: always
    hostname: zoo1
    container_name: zoo1
    ports:
    - 2184:2181
    volumes:
    - "/Users/shaozhipeng/Development/volume/zkcluster/zoo1/data:/data"
    - "/Users/shaozhipeng/Development/volume/zkcluster/zoo1/datalog:/datalog"
    environment:
      ZOO_MY_ID: 1
      ZOO_SERVERS: server.1=0.0.0.0:2888:3888 server.2=zoo2:2888:3888 server.3=zoo3:2888:3888
    networks:
      br17219:
        ipv4_address: 172.19.0.11

  zoo2:
    image: zookeeper
    restart: always
    hostname: zoo2
    container_name: zoo2
    ports:
    - 2185:2181
    volumes:
    - "/Users/shaozhipeng/Development/volume/zkcluster/zoo2/data:/data"
    - "/Users/shaozhipeng/Development/volume/zkcluster/zoo2/datalog:/datalog"
    environment:
      ZOO_MY_ID: 2
      ZOO_SERVERS: server.1=zoo1:2888:3888 server.2=0.0.0.0:2888:3888 server.3=zoo3:2888:3888
    networks:
      br17219:
        ipv4_address: 172.19.0.12

  zoo3:
    image: zookeeper
    restart: always
    hostname: zoo3
    container_name: zoo3
    ports:
    - 2186:2181
    volumes:
    - "/Users/shaozhipeng/Development/volume/zkcluster/zoo3/data:/data"
    - "/Users/shaozhipeng/Development/volume/zkcluster/zoo3/datalog:/datalog"
    environment:
      ZOO_MY_ID: 3
      ZOO_SERVERS: server.1=zoo1:2888:3888 server.2=zoo2:2888:3888 server.3=0.0.0.0:2888:3888
    networks:
      br17219:
        ipv4_address: 172.19.0.13

networks:
  br17219:
    external:
      name: br17219

kafka集群的docker-compose.yml

kfkluster少拼了个c…

version: '2'

services:
  kafka1:
    image: wurstmeister/kafka
    restart: always
    hostname: kafka1
    container_name: kafka1
    ports:
    - 9092:9092
    environment:
      KAFKA_ADVERTISED_HOST_NAME: kafka1
      KAFKA_ADVERTISED_PORT: 9092
      KAFKA_ZOOKEEPER_CONNECT: zoo1:2181,zoo2:2181,zoo3:2181
    volumes:
    - /Users/shaozhipeng/Development/volume/kfkluster/kafka1/logs:/kafka
    external_links:
    - zoo1
    - zoo2
    - zoo3
    networks:
      br17219:
        ipv4_address: 172.19.0.14

  kafka2:
    image: wurstmeister/kafka
    restart: always
    hostname: kafka2
    container_name: kafka2
    ports:
    - 9093:9093
    environment:
      KAFKA_ADVERTISED_HOST_NAME: kafka2
      KAFKA_ADVERTISED_PORT: 9093
      KAFKA_ZOOKEEPER_CONNECT: zoo1:2181,zoo2:2181,zoo3:2181
    volumes:
    - /Users/shaozhipeng/Development/volume/kfkluster/kafka2/logs:/kafka
    external_links:
    - zoo1
    - zoo2
    - zoo3
    networks:
      br17219:
        ipv4_address: 172.19.0.15

  kafka3:
    image: wurstmeister/kafka
    restart: always
    hostname: kafka3
    container_name: kafka3
    ports:
    - 9094:9094
    environment:
      KAFKA_ADVERTISED_HOST_NAME: kafka3
      KAFKA_ADVERTISED_PORT: 9094
      KAFKA_ZOOKEEPER_CONNECT: zoo1:2181,zoo2:2181,zoo3:2181
    volumes:
    - /Users/shaozhipeng/Development/volume/kfkluster/kafka3/logs:/kafka
    external_links:
    - zoo1
    - zoo2
    - zoo3
    networks:
      br17219:
        ipv4_address: 172.19.0.16

networks:
  br17219:
    external:
      name: br17219

结果查看和测试

宿主机命令行创建topic

$ pwd
/Users/shaozhipeng/Development/kafka_2.11-2.0.0/bin
$ ./kafka-topics.sh --create --zookeeper localhost:2184,localhost:2185,localhost:2186 --replication-factor 1 --partitions 1 --topic test1

Kafka Tool查看

docker ps查看正在运行的容器

查看宿主机IP地址,并设置Host

这样宿主机就可以访问kafka集群了

 

原文地址:使用Docker快速搭建Zookeeper和kafka集群

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posted @ 2018-12-19 22:48  知了小巷  阅读(23060)  评论(3编辑  收藏  举报