docker部署Zookeeper+Kafka+Storm

docker部署Zookeeper+Storm+Kafka

安装docker

信任Docker的GPG公钥:

curl -fsSL https://repo.huaweicloud.com/docker-ce/linux/ubuntu/gpg | sudo apt-key add -`

添加软件仓库:

sudo add-apt-repository "deb [arch=amd64] https://repo.huaweicloud.com/docker-ce/linux/ubuntu $(lsb_release -cs) stable"

更新索引文件并安装

sudo apt-get update
sudo apt-get install docker-ce

创建专用网段

docker network create --subnet 172.30.0.0/24 --gateway 172.30.0.1 zookeeper

创建Zookeeper Compose文件

version: '3'
 
services: 
    zookeeper1:
        image: zookeeper:3.4
        restart: always
        hostname: zookeeper1
        container_name: zookeeper1
        ports:
            - "2181:2181"
        volumes: 
            - "/home/zk/workspace/volumes/zkcluster/zookeeper1/data:/data"
            - "/home/zk/workspace/volumes/zkcluster/zookeeper1/datalog:/datalog"
        environment: 
            ZOO_MY_ID: 1
            ZOO_SERVERS: server.1=0.0.0.0:2888:3888 server.2=zookeeper2:2888:3888 server.3=zookeeper3:2888:3888
        networks:
            zookeeper:
                ipv4_address: 172.30.0.11
 
    zookeeper2:
        image: zookeeper:3.4
        restart: always
        hostname: zookeeper2
        container_name: zookeeper2
        ports:
            - "2182:2181"
        volumes: 
            - "/home/zk/workspace/volumes/zkcluster/zookeeper2/data:/data"
            - "/home/zk/workspace/volumes/zkcluster/zookeeper2/datalog:/datalog"
        environment: 
            ZOO_MY_ID: 2
            ZOO_SERVERS: server.1=zookeeper1:2888:3888 server.2=0.0.0.0:2888:3888 server.3=zookeeper3:2888:3888
        networks:
            zookeeper:
                ipv4_address: 172.30.0.12
 
    zookeeper3:
        image: zookeeper:3.4
        restart: always
        hostname: zookeeper3
        container_name: zookeeper3
        ports:
            - "2183:2181"
        volumes: 
            - "/home/zk/workspace/volumes/zkcluster/zookeeper3/data:/data"
            - "/home/zk/workspace/volumes/zkcluster/zookeeper3/datalog:/datalog"
        environment: 
            ZOO_MY_ID: 3
            ZOO_SERVERS: server.1=zookeeper1:2888:3888 server.2=zookeeper2:2888:3888 server.3=0.0.0.0:2888:3888
        networks:
            zookeeper:
                ipv4_address: 172.30.0.13
 
networks: 
    zookeeper:
        external: 
            name: zookeeper

创建Kafka Compose文件

需要注意的是如果希望外部能够访问kafka服务，需要将ADVERTISED_LISTENERS更改为宿主机ip及对应端口

version: '3'
 
services: 
    kafka1:
        image: wurstmeister/kafka:2.12-2.4.1
        restart: always
        hostname: kafka1
        container_name: kafka1
        privileged: true
        ports:
            - 9092:9092
        environment:
              KAFKA_ADVERTISED_HOST_NAME: kafka1
              KAFKA_LISTENERS: PLAINTEXT://kafka1:9092
              KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://serverIP:9092
              KAFKA_ADVERTISED_PORT: 9092
              KAFKA_ZOOKEEPER_CONNECT: zookeeper1:2181,zookeeper2:2181,zookeeper3:2181
        volumes:
            - /home/zk/workspace/volumes/kafkaCluster/kafka1/logs:/kafka
            - /home/w2110276138/dataset/:/tmp
        networks:
            kafka:
                ipv4_address: 172.30.0.14
        extra_hosts: 
            zookeeper1: 172.30.0.11
            zookeeper2: 172.30.0.12
            zookeeper3: 172.30.0.13
 
    kafka2:
        image: wurstmeister/kafka:2.12-2.4.1
        restart: always
        hostname: kafka2
        container_name: kafka2
        privileged: true
        ports:
            - 9093:9093
        environment:
              KAFKA_ADVERTISED_HOST_NAME: kafka2
              KAFKA_LISTENERS: PLAINTEXT://kafka2:9093
              KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://serverIP:9093
              KAFKA_ADVERTISED_PORT: 9093
              KAFKA_ZOOKEEPER_CONNECT: zookeeper1:2181,zookeeper2:2181,zookeeper3:2181
        volumes:
            - /home/zk/workspace/volumes/kafkaCluster/kafka2/logs:/kafka
            - /home/w2110276138/dataset/:/tmp
        networks:
            kafka:
                ipv4_address: 172.30.0.15
        extra_hosts: 
            zookeeper1: 172.30.0.11
            zookeeper2: 172.30.0.12
            zookeeper3: 172.30.0.13
 
    kafka3:
        image: wurstmeister/kafka:2.12-2.4.1
        restart: always
        hostname: kafka3
        container_name: kafka3
        privileged: true
        ports:
            - 9094:9094
        environment:
              KAFKA_ADVERTISED_HOST_NAME: kafka3
              KAFKA_LISTENERS: PLAINTEXT://kafka3:9094
              KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://serverIP:9094
              KAFKA_ADVERTISED_PORT: 9094
              KAFKA_ZOOKEEPER_CONNECT: zookeeper1:2181,zookeeper2:2181,zookeeper3:2181
        volumes:
            - /home/zk/workspace/volumes/kafkaCluster/kafka3/logs:/kafka
            - /home/w2110276138/dataset/:/tmp
        networks:
            kafka:
                ipv4_address: 172.30.0.16
        extra_hosts: 
            zookeeper1: 172.30.0.11
            zookeeper2: 172.30.0.12
            zookeeper3: 172.30.0.13                            
 
networks: 
    kafka:
        external: 
            name: zookeeper

创建Storm Compose文件

version: '3'
 
services:
  nimbus:
    image: storm:1.2.2
    command: storm nimbus
    restart: always
    environment:
      - STORM_ZOOKEEPER_SERVERS=zookeeper1:2181,zookeeper2:2181,zookeeper3:2181
    container_name: nimbus
    hostname: nimbus
    networks:
      storm:
        ipv4_address: 172.30.0.17
    ports:
      - 6627:6627
    volumes:
      - "./storm.yaml:/conf/storm.yaml"
      - "/home/w2110276138/jar:/tmp"
    extra_hosts:
      zookeeper1: 172.30.0.11
      zookeeper2: 172.30.0.12
      zookeeper3: 172.30.0.13
      kafka1: 172.30.0.14
      kafka2: 172.30.0.15
      kafka3: 172.30.0.16
      ui: 172.30.0.18
 
  ui:
    image: storm:1.2.2
    command: storm ui
    restart: always
    environment:
      - STORM_ZOOKEEPER_SERVERS=zookeeper1:2181,zookeeper2:2181,zookeeper3:2181
    container_name: ui
    hostname: ui
    networks:
      storm:
        ipv4_address: 172.30.0.18
    ports:
      - 8080:8080
    volumes:
      - "./storm.yaml:/conf/storm.yaml"
    depends_on:
      - nimbus
    links:
      - nimbus:nimbus
    extra_hosts:
      zookeeper1: 172.30.0.11
      zookeeper2: 172.30.0.12
      zookeeper3: 172.30.0.13
      kafka1: 172.30.0.14
      kafka2: 172.30.0.15
      kafka3: 172.30.0.16
      nimbus: 172.30.0.17
 
 
  supervisor:
    image: storm:1.2.2
    command: storm supervisor
    restart: always
    environment:
      - STORM_ZOOKEEPER_SERVERS=zookeeper1:2181,zookeeper2:2181,zookeeper3:2181
    networks:
      - storm
    depends_on:
      - nimbus
    links:
      - nimbus:nimbus
    volumes:
      - "./storm.yaml:/conf/storm.yaml"
    extra_hosts:
      zookeeper1: 172.30.0.11
      zookeeper2: 172.30.0.12
      zookeeper3: 172.30.0.13
      kafka1: 172.30.0.14
      kafka2: 172.30.0.15
      kafka3: 172.30.0.16
 
networks:
    storm:
        external:
            name: zookeeper

启动Zookeeper+Kafka+Storm

如果把所有的compose文件写在一起，则可以一起启动。

docker compose -f docker-compose-zookeeper.yml up -d
docker compose -f docker-compose-kafka.yml up -d
docker compose -f docker-compose-storm.yml up -d

扩展Supervisor

docker compose -f docker-compose-storm.yml up --scale supervisor=4 -d
posted @   Modest-Hamilton  阅读(109)  评论(0)  编辑  收藏  举报
相关博文：
·  Storm多节点部署
·  （二）kubernetes部署kafka
·  Docker安装Kafka——基于docker-compose工具
·  docker swarm 搭建kafka集群
·  [转载]Docker搭建Kafka集群kafka-manager管理Kafka
阅读排行：
· 25岁的心里话
· 闲置电脑爆改个人服务器（超详细） #公网映射 #Vmware虚拟网络编辑器
· 零经验选手，Compose 一天开发一款小游戏！
· 因为Apifox不支持离线，我果断选择了Apipost！
· 通过 API 将Deepseek响应流式内容输出到前端
点击右上角即可分享
微信分享提示
AI IDE Trae