这篇文章主要讲解了“docke swarm怎么搭建部署zookeeper+kafka”，文中的讲解内容简单清晰，易于学习与理解，下面请大家跟着小编的思路慢慢深入，一起来研究和学习“docke swarm怎么搭建部署zookeeper+kafka”吧！

成都网站建设哪家好，找创新互联建站！专注于网页设计、成都网站建设公司、微信开发、小程序制作、集团成都定制网站等服务项目。核心团队均拥有互联网行业多年经验，服务众多知名企业客户；涵盖的客户类型包括：社区文化墙等众多领域，积累了大量丰富的经验，同时也获得了客户的一致赞赏！

1. 机器准备

   准备三台机器，IP分别为192.168.10.51、192.168.10.52、192.168.10.53;主机名分别为centos51、centos52、centos53。三台机器已经准备好docker swarm环境。docker swarm搭建可以参考另一篇文章 docker swarm 集群搭建。

2. 准备镜像。

    在 https://hub.docker.com/ 上拉取zookeeper、kafka、kafka manager相关镜像

docker pull zookeeper:3.6.1

docker pull wurstmeister/kafka:2.12-2.5.0

docker pull kafkamanager/kafka-manager:3.0.0.4

3. zookeeper 相关compose准备。

 文件名：docker-stack-zookeeper.yml

version: "3.2"
services:
#zookeeper服务
  zookeeper-server-a:
    hostname: zookeeper-server-a
    image: zookeeper:3.6.1
    ports:
      - "12181:2181"
    networks:
      swarm-net:
        aliases:
          - zookeeper-server-a
    environment:
      TZ: Asia/Shanghai
      ZOO_MY_ID: 1
      ZOO_SERVERS: server.1=zookeeper-server-a:2888:3888;2181 server.2=zookeeper-server-b:2888:3888;2181 server.3=zookeeper-server-c:2888:3888;2181
    volumes:
      - /data/kafka_cluster/zookeeper/data:/data
    deploy:
      replicas: 1
      restart_policy:
        condition: on-failure
      placement:
        constraints: [node.hostname == centos51]
      resources:
        limits:
#          cpus: '1'
          memory: 1GB
        reservations:
#          cpus: '0.2'
          memory: 512M

  zookeeper-server-b:
    hostname: zookeeper-server-b
    image: zookeeper:3.6.1
    ports:
      - "22181:2181"
    networks:
      swarm-net:
        aliases:
          - zookeeper-server-b
    environment:
      TZ: Asia/Shanghai
      ZOO_MY_ID: 2
      ZOO_SERVERS: server.1=zookeeper-server-a:2888:3888;2181 server.2=zookeeper-server-b:2888:3888;2181 server.3=zookeeper-server-c:2888:3888;2181
    volumes:
      - /data/kafka_cluster/zookeeper/data:/data
    deploy:
      replicas: 1
      restart_policy:
        condition: on-failure
      placement:
        constraints: [node.hostname == centos52]
      resources:
        limits:
#          cpus: '1'
          memory: 1GB
        reservations:
#          cpus: '0.2'
          memory: 512M

  zookeeper-server-c:
    hostname: zookeeper-server-c
    image: zookeeper:3.6.1
    ports:
      - "32181:2181"
    networks:
      swarm-net:
        aliases:
          - zookeeper-server-c
    environment:
      TZ: Asia/Shanghai
      ZOO_MY_ID: 3
      ZOO_SERVERS: server.1=zookeeper-server-a:2888:3888;2181 server.2=zookeeper-server-b:2888:3888;2181 server.3=zookeeper-server-c:2888:3888;2181
    volumes:
      - /data/kafka_cluster/zookeeper/data:/data
    deploy:
      replicas: 1
      restart_policy:
        condition: on-failure
      placement:
        constraints: [node.hostname == centos53]
      resources:
        limits:
#          cpus: '1'
          memory: 1GB
        reservations:
#          cpus: '0.2'
          memory: 512M
networks:
  swarm-net:
    external:
      name: swarm-net

4. kafka 相关compose 准备

文件名： docker-stack-kafka.yml

version: "3.2"
services:
#kafka服务
  kafka-server-a:
    hostname: kafka-server-a
    image: wurstmeister/kafka:2.12-2.5.0
    ports:
      - "19092:9092"
    networks:
      swarm-net:
        aliases:
          - kafka-server-a
    environment:
      - TZ=CST-8
      - KAFKA_ADVERTISED_HOST_NAME=kafka-server-a
      - HOST_IP=kafka-server-a
      - KAFKA_ADVERTISED_PORT=9092
      - KAFKA_ZOOKEEPER_CONNECT=zookeeper-server-a:2181,zookeeper-server-b:2181,zookeeper-server-c:2181
      - KAFKA_BROKER_ID=0
      - KAFKA_HEAP_OPTS="-Xmx512M -Xms16M"
    volumes:
      - /data/kafka_cluster/kafka/data:/kafka/kafka-logs-kafka-server-a
      - /data/kafka_cluster/kafka/logs:/opt/kafka/logs
    deploy:
      replicas: 1
      restart_policy:
        condition: on-failure
      placement:
        constraints: [node.hostname == centos51]
      resources:
        limits:
#          cpus: '1'
          memory: 1GB
        reservations:
#          cpus: '0.2'
          memory: 512M

  kafka-server-b:
    hostname: kafka-server-b
    image: wurstmeister/kafka:2.12-2.5.0
    ports:
      - "29092:9092"
    networks:
      swarm-net:
        aliases:
          - kafka-server-b
    environment:
      - TZ=CST-8
      - KAFKA_ADVERTISED_HOST_NAME=kafka-server-b
      - HOST_IP=kafka-server-b
      - KAFKA_ADVERTISED_PORT=9092
      - KAFKA_ZOOKEEPER_CONNECT=zookeeper-server-a:2181,zookeeper-server-b:2181,zookeeper-server-c:2181
      - KAFKA_BROKER_ID=1
      - KAFKA_HEAP_OPTS="-Xmx512M -Xms16M"
    volumes:
      - /data/kafka_cluster/kafka/data:/kafka/kafka-logs-kafka-server-b
      - /data/kafka_cluster/kafka/logs:/opt/kafka/logs
    deploy:
      replicas: 1
      restart_policy:
        condition: on-failure
      placement:
        constraints: [node.hostname == centos52]
      resources:
        limits:
#          cpus: '1'
          memory: 1GB
        reservations:
#          cpus: '0.2'
          memory: 512M

  kafka-server-c:
    hostname: kafka-server-c
    image: wurstmeister/kafka:2.12-2.5.0
    ports:
      - "39092:9092"
    networks:
      swarm-net:
        aliases:
          - kafka-server-c
    environment:
      - TZ=CST-8
      - KAFKA_ADVERTISED_HOST_NAME=kafka-server-c
      - HOST_IP=kafka-server-c
      - KAFKA_ADVERTISED_PORT=9092
      - KAFKA_ZOOKEEPER_CONNECT=zookeeper-server-a:2181,zookeeper-server-b:2181,zookeeper-server-c:2181
      - KAFKA_BROKER_ID=2
      - KAFKA_HEAP_OPTS="-Xmx512M -Xms16M"
    volumes:
      - /data/kafka_cluster/kafka/data:/kafka/kafka-logs-kafka-server-c
      - /data/kafka_cluster/kafka/logs:/opt/kafka/logs
    deploy:
      replicas: 1
      restart_policy:
        condition: on-failure
      placement:
        constraints: [node.hostname == centos53]
      resources:
        limits:
#          cpus: '1'
          memory: 1GB
        reservations:
#          cpus: '0.2'
          memory: 512M
networks:
  swarm-net:
    external:
      name: swarm-net

5. kafka manager相关compose准备

文件名： docker-stack-kafka-manager.yml

version: "3.2"
services:
#kafka manager服务
  kafka-manager:
    hostname: kafka-manager
    image: kafkamanager/kafka-manager:3.0.0.4
    ports:
      - "19000:9000"
    networks:
      swarm-net:
        aliases:
          - kafka-manager
    environment:
      - ZK_HOSTS=zookeeper-server-a:2181,zookeeper-server-b:2181,zookeeper-server-c:2181
    deploy:
      replicas: 1
      restart_policy:
        condition: on-failure
      placement:
        constraints: [node.hostname == centos51]
      resources:
        limits:
#          cpus: '1'
          memory: 1GB
        reservations:
#          cpus: '0.2'
          memory: 512M

networks:
  avatar-net:
    external:
      name: swarm-net

6. 在三台机器上创建文件映射路径

mkdir -p {/data/kafka_cluster/zookeeper/data,/data/kafka_cluster/kafka/data,/data/kafka_cluster/kafka/logs}
chown -R 777 /data/kafka_cluster/

7. 执行compose

一定要按照顺序执行，执行成功再执行下一个命令

 docker stack deploy -c docker-stack-zookeeper.yml zoo --resolve-image=never --with-registry-auth

 docker stack deploy -c docker-stack-kafka.yml kafka  --resolve-image=never --with-registry-auth

docker stack deploy -c docker-stack-kafka-manager.yml kafka_manager  --resolve-image=never --with-registry-auth

感谢各位的阅读，以上就是“docke swarm怎么搭建部署zookeeper+kafka”的内容了，经过本文的学习后，相信大家对docke swarm怎么搭建部署zookeeper+kafka这一问题有了更深刻的体会，具体使用情况还需要大家实践验证。这里是创新互联，小编将为大家推送更多相关知识点的文章，欢迎关注！

新闻标题：dockeswarm怎么搭建部署zookeeper+kafka
分享路径：http://csdahua.cn/article/ggsooc.html