【云原生 | 60】Docker中通过docker-compose部署kafka集群

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1、环境准备

1.1 安装docker

1.2 安装Docker Compose

2、docker-compose.yaml文件配置

3、system-config.properties文件配置

4、启动服务

1、环境准备

部署服务器的ip
可用的9093 9094 9095 2181端口
docker和docker-compose

1.1 安装docker

卸载旧版本（可选）

如果之前安装过旧版本的Docker，可以使用以下命令卸载：

sudo yum remove docker docker-client docker-client-latest docker-common docker-latest docker-latest-logrotate docker-logrotate docker-selinux docker-engine-selinux docker-engine docker-ce

安装依赖

安装yum工具和相关依赖：

sudo yum install -y yum-utils device-mapper-persistent-data lvm2

设置Docker仓库

添加Docker CE的官方yum仓库，为了更快的下载速度，可以使用国内的镜像源，例如阿里云：

sudo yum-config-manager --add-repo https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo

或者使用清华大学源：

sudo yum-config-manager --add-repo https://mirrors.tuna.tsinghua.edu.cn/docker-ce/linux/centos/docker-ce.repo

安装Docker CE

更新yum缓存并安装Docker CE：

sudo yum makecache fast  
sudo yum install -y docker-ce

启动Docker

启动Docker服务：

sudo systemctl start docker

验证Docker安装

可以通过运行以下命令来验证Docker是否成功安装：

sudo docker --version

1.2 安装Docker Compose

下载Docker Compose

使用curl命令从GitHub下载Docker Compose的二进制文件到/usr/local/bin/目录下（请检查版本是否最新）：

sudo curl -L "https://github.com/docker/compose/releases/download/v2.6.0/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose

注意：上述命令中的版本号v2.6.0可能不是最新的，请访问Docker Compose的GitHub页面查看最新版本号。

赋予执行权限

为Docker Compose二进制文件赋予执行权限：

sudo chmod +x /usr/local/bin/docker-compose

验证Docker Compose安装

通过运行以下命令来验证Docker Compose是否成功安装：

docker-compose --version

2、docker-compose.yaml文件配置

文件内容如下：

version: '2'
services:
  zookeeper:
    image: wurstmeister/zookeeper
    restart: always
    ports:
      - "2181:2181"
  kafka1:
    image: wurstmeister/kafka
    restart: always
    depends_on:
      - zookeeper
    ports:
      - "9093:9093"
    environment:
      KAFKA_ADVERTISED_HOST_NAME: kafka1
      KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
      KAFKA_LISTENERS: PLAINTEXT://:9093
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://192.168.202.219:9093
      KAFKA_BROKER_ID: 1
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock
  kafka2:
    image: wurstmeister/kafka
    restart: always
    depends_on:
      - zookeeper
    ports:
      - "9094:9094"
    environment:
      KAFKA_ADVERTISED_HOST_NAME: kafka2
      KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
      KAFKA_LISTENERS: PLAINTEXT://:9094
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://192.168.202.219:9094
      KAFKA_BROKER_ID: 2
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock
  kafka3:
    image: wurstmeister/kafka
    restart: always
    depends_on:
      - zookeeper
    ports:
      - 9095:9095
    environment:
      KAFKA_ADVERTISED_HOST_NAME: kafka3
      KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
      KAFKA_LISTENERS: PLAINTEXT://:9095
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://192.168.202.219:9095
      KAFKA_BROKER_ID: 3
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock
  eagle:
    image: nickzurich/efak:3.0.1
    volumes: # 挂载目录
      - ./system-config.properties:/opt/efak/conf/system-config.properties
    environment: # 配置参数
      EFAK_CLUSTER_ZK_LIST: zookeeper:2181
    depends_on:
      - zookeeper
    ports:
      - "8048:8048"

修改文件中KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://192.168.202.219:9093的ip为服务器ip（有三处）

3、system-config.properties文件配置

######################################
# multi zookeeper & kafka cluster list
# Settings prefixed with 'kafka.eagle.' will be deprecated, use 'efak.' instead
######################################
efak.zk.cluster.alias=cluster
cluster.zk.list=zookeeper:2181

######################################
# zookeeper enable acl
######################################
cluster.zk.acl.enable=false
cluster.zk.acl.schema=digest
cluster.zk.acl.username=test
cluster.zk.acl.password=test123

######################################
# kraft broker
######################################
efak.kafka.cluster.alias=cluster

######################################
# broker size online list
######################################
cluster.efak.broker.size=1

######################################
# zk client thread limit
# Zookeeper cluster allows the number of clients to connect to
######################################
kafka.zk.limit.size=25

######################################
# EFAK webui port
######################################
efak.webui.port=8048

######################################
# kafka jmx acl and ssl authenticate
######################################
cluster.efak.jmx.acl=false
cluster.efak.jmx.user=keadmin
cluster.efak.jmx.password=keadmin123
cluster.efak.jmx.ssl=false
cluster.efak.jmx.truststore.location=/Users/dengjie/workspace/ssl/certificates/kafka.truststore
cluster.efak.jmx.truststore.password=ke123456

######################################
# kafka offset storage
######################################
cluster.efak.offset.storage=kafka

# If offset is out of range occurs, enable this property -- Only suitable for kafka sql
efak.sql.fix.error=false

######################################
# kafka jmx uri
######################################
cluster.efak.jmx.uri=service:jmx:rmi:///jndi/rmi://%s/jmxrmi

######################################
# kafka metrics, 15 days by default
######################################

# Whether the Kafka performance monitoring diagram is enabled
efak.metrics.charts=false

# Kafka Eagle keeps data for 30 days by default
efak.metrics.retain=30

######################################
# kafka sql topic records max
######################################
efak.sql.topic.records.max=5000
efak.sql.topic.preview.records.max=10
efak.sql.worknode.port=8787
efak.sql.distributed.enable=FALSE
efak.sql.worknode.rpc.timeout=300000
efak.sql.worknode.fetch.threshold=5000
efak.sql.worknode.fetch.timeout=20000
efak.sql.worknode.server.path=/Users/dengjie/workspace/kafka-eagle-plus/kafka-eagle-common/src/main/resources/works

######################################
# delete kafka topic token
# Set to delete the topic token, so that administrators can have the right to delete
######################################
efak.topic.token=keadmin

######################################
# kafka sasl authenticate
######################################
cluster.efak.sasl.enable=false
cluster.efak.sasl.protocol=SASL_PLAINTEXT
cluster.efak.sasl.mechanism=SCRAM-SHA-256
cluster.efak.sasl.jaas.config=org.apache.kafka.common.security.scram.ScramLoginModule required username="admin" password="admin-secret";
# If not set, the value can be empty
cluster.efak.sasl.client.id=
# Add kafka cluster cgroups
cluster.efak.sasl.cgroup.enable=false
cluster.efak.sasl.cgroup.topics=kafka_ads01,kafka_ads02

######################################
# kafka jdbc driver address
# Default use sqlite to store data
######################################
efak.driver=org.sqlite.JDBC
# It is important to note that the '/hadoop/kafka-eagle/db' path must exist.
efak.url=jdbc:sqlite:/hadoop/efak/db/ke.db
efak.username=root
efak.password=smartloli

LICENSE

MIT License

Copyright (c) 2023 Salent Olivick

Permission is hereby granted, free of charge, to any person obtaining a copy
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in the Software without restriction, including without limitation the rights
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copies of the Software, and to permit persons to whom the Software is
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The above copyright notice and this permission notice shall be included in all
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