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  • 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

    1
    $ docker-compose up -d

    zk集群的docker-compose.yml

    复制代码
    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
    复制代码

    kafka集群的docker-compose.yml

    kfkluster少拼了个c…

    复制代码
    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
    复制代码

    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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  • 原文地址:https://www.cnblogs.com/Leo_wl/p/11798289.html
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