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

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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
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

4、启动服务

sudo docker-compose up -d

进入eagle即可查看kafka状态http://127.0.0.1:8048/ 用户名密码是admin/123456

标签：云原生 docker kafka

本文转载自: https://blog.csdn.net/qq_62294245/article/details/139284989
版权归原作者 小鹏linux 所有，如有侵权，请联系我们删除。

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

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

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