docker compose 安装 kafka

news2025/1/8 6:09:38

一前置准备

创建 /data/kafkadata /data/zookeeper-1用于保存kafka和zookeeper的配置文件

kafkadata中创建三个文件夹 /kafka1 /kafka2 /kafka3，用于存放三个kafka节点的配置文件

zookeeper-1文件夹中创建 /conf /data /logs /datalog四个文件夹，用于存放zk的信息

kafka1 kafka2 kafka3中创建server.properties

其中broker.id需要修改为对应编号 1，2，3

#broker的全局唯一编号，不能重复
broker.id=1
#删除topic功能使能
delete.topic.enable=true
#处理网络请求的线程数量
num.network.threads=3
#用来处理磁盘IO的现成数量
num.io.threads=8
#发送套接字的缓冲区大小
socket.send.buffer.bytes=102400
#接收套接字的缓冲区大小
socket.receive.buffer.bytes=102400
#请求套接字的缓冲区大小
socket.request.max.bytes=104857600
#kafka数据的存储位置
log.dirs=/opt/apache/kafka/logs
#指定Topic的分区数量，这里设置为3。默认只有一个分区，设置多分区可以支持并发读写和负载均衡
num.partitions=3
#副本，默认只有一个副本，不会进行数据备份和冗余
replication.factor=3
#用来恢复和清理data下数据的线程数量
num.recovery.threads.per.data.dir=1
#segment文件保留的最长时间，超时将被删除
log.retention.hours=168
#配置连接Zookeeper集群地址
zookeeper.connect=zookeeper-1:2181
#zookeeper连接超时时间
zookeeper.connection.timeout.ms=60000
message.max.bytes=104857600
replica.fetch.max.bytes=104857600

zookeeper-1/conf目录下创建zoo.cfg

dataDir=/data
dataLogDir=/datalog
clientPort=2181
tickTime=2000
initLimit=5
syncLimit=2
autopurge.snapRetainCount=3
autopurge.purgeInterval=0
maxClientCnxns=60
standaloneEnabled=true
admin.enableServer=true
server.1=zookeeper-1:2888:3888
jute.maxbuffer=104857600

zookeeper-1/conf目录下创建log4j.properties 用于zk的日志输出，后期启动正常后可以修改输出登记

log4j.rootLogger=INFO, stdout
log4j.appender.stdout=org.apache.log4j.ConsoleAppender
log4j.appender.stdout.Target=System.out
log4j.appender.stdout.layout=org.apache.log4j.PatternLayout
log4j.appender.stdout.layout.ConversionPattern=%d{ISO8601} [%t] %-5p %c %x - %m%n

将conf和kafkadata的权限赋予读写权限

比如对zookeeper-1的conf文件夹直接赋予777权限

chmod 777 conf

目录创建完成后结构示意【忽略kafka1 2 3的logs目录和zookeeper-1的data和datalog下的文件，是运行后产生的文件.plugins是未来有需要时使用，目前可以不用创建】

二编写docker compose

将其中的IP地址更换为主机的ip地址，如果是服务器则是外网ip地址

如果没有创建plugins文件夹，则将volumes中的plugins映射去掉

# 配置kafka集群
# container services下的每一个子配置都对应一个节点的docker container

# 给kafka集群配置一个网络，网络名为kafka-net
networks:
  kafka-net:
    name: kafka-net
    driver: bridge
    
services:
  zookeeper-1:
    image: zookeeper
    container_name: zookeeper
    restart: always
    # 配置docker container和宿主机的端口映射
    ports:
        - 2181:2181
        - 8081:8080
    # 将docker container上的路径挂载到宿主机上 实现宿主机和docker container的数据共享
    volumes:
        - "/home/learning-java/kafka/data/zookeeper-1/data:/data"
        - "/home/learning-java/kafka/data/zookeeper-1/datalog:/datalog"
        - "/home/learning-java/kafka/data/zookeeper-1/logs:/logs"
        - "/home/learning-java/kafka/data/zookeeper-1/conf:/conf"
    # 配置docker container的环境变量
    environment:
        # 当前zk实例的id
        ZOO_MY_ID: 1
        # 整个zk集群的机器、端口列表
        ZOO_SERVERS: server.1=zookeeper-1:2888:3888 

    command: ["zkServer.sh", "start-foreground"]
    networks:
      kafka-net:
        aliases:
          - zookeeper-1
        
  kafka-1:
    image: wurstmeister/kafka
    container_name: kafka-1
    restart: always
    # 配置docker container和宿主机的端口映射  8083端口是后期部署kafka connect所需要的端口
    ports:
        - 9092:9092
        - 8084:8083
    # plugins 是我方便加入kafka connector 依赖所设文件夹，不使用connect可以不设置
    # /opt/kafka/plugins 是配置connector的时候指定的容器内部文件夹路径
    volumes:
        - "/home/learning-java/kafka/data/kafkadata/kafka-1/server.properties:/etc/kafka/config/server.properties"
        - "/home/learning-java/kafka/data/kafkadata/kafka-1/logs:/kafka"
        - "/home/learning-java/kafka/data/kafkadata/plugins:/opt/kafka/plugins"

    # 配置docker container的环境变量
    environment:
      KAFKA_ADVERTISED_HOST_NAME: IP                   ## 修改:宿主机IP
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://IP:9092    ## 修改:宿主机IP
      KAFKA_ZOOKEEPER_CONNECT: "zookeeper-1:2181"
      KAFKA_ADVERTISED_PORT: 9092
      KAFKA_BROKER_ID: 1
      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
    depends_on:
      - zookeeper-1
    networks:
      kafka-net:
        aliases:
          - kafka-1
  kafka-2:
    image: wurstmeister/kafka
    container_name: kafka-2
    restart: always
    # 配置docker container和宿主机的端口映射
    ports:
        - 9093:9092
        - 8085:8083
    
    volumes:
        - "/home/learning-java/kafka/data/kafkadata/kafka-2/server.properties:/etc/kafka/config/server.properties"
        - "/home/learning-java/kafka/data/kafkadata/kafka-2/logs:/kafka"
        - "/home/learning-java/kafka/data/kafkadata/plugins:/opt/kafka/plugins"

    # 配置docker container的环境变量
    environment:
      KAFKA_ADVERTISED_HOST_NAME: IP                   ## 修改:宿主机IP
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://IP:9093    ## 修改:宿主机IP
      KAFKA_ZOOKEEPER_CONNECT: "zookeeper-1:2181"
      KAFKA_ADVERTISED_PORT: 9093
      KAFKA_BROKER_ID: 2
      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
    depends_on:
      - zookeeper-1
    networks:
      kafka-net:
        aliases:
          - kafka-2
  
  kafka-3:
    image: wurstmeister/kafka
    container_name: kafka-3
    restart: always
    # 配置docker container和宿主机的端口映射
    ports:
        - 9094:9092
        - 8086:8083
        
    volumes:
        - "/home/learning-java/kafka/data/kafkadata/kafka-3/server.properties:/etc/kafka/config/server.properties"
        - "/home/learning-java/kafka/data/kafkadata/kafka-3/logs:/kafka"
        - "/home/learning-java/kafka/data/kafkadata/plugins:/opt/kafka/plugins"

    # 配置docker container的环境变量
    environment:
      KAFKA_ADVERTISED_HOST_NAME: IP                   ## 修改:宿主机IP
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://IP:9094    ## 修改:宿主机IP
      KAFKA_ZOOKEEPER_CONNECT: "zookeeper-1:2181"
      KAFKA_ADVERTISED_PORT: 9094
      KAFKA_BROKER_ID: 3
      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
    depends_on:
      - zookeeper-1
    networks:
      kafka-net:
        aliases:
          - kafka-3

  kafka-manager:
    image: sheepkiller/kafka-manager              ## 镜像：开源的web管理kafka集群的界面
    container_name: kafka-manager
    restart: always
    environment:
        ZK_HOSTS: IP:2181                  ## 修改:宿主机IP
    ports:
      - "9002:9000"                               ## 暴露端口
    networks:
      kafka-net:
        aliases:
          - kafka-manager