本文最后更新于 2024-01-26，文章内容可能已经过时。

一、docker 部署kafka单节点

1.1安装docker

1.2安装kafka & zookeeper版本

1.2.1 运行zookeeper

docker run -d --name zookeeper -p 2181:2181 swr.cn-east-3.myhuaweicloud.com/srebro/middleware/zookeeper:3.4.13

1.2.2 运行kafka（注意修改zookeeper，kafka地址）

docker run -d --name kafka -p 9092:9092 -e KAFKA_BROKER_ID=0 -e KAFKA_ZOOKEEPER_CONNECT=172.16.10.157:2181 -e KAFKA_ADVERTISED_LISTENERS=PLAINTEXT://localhost:9092 -e KAFKA_LISTENERS=PLAINTEXT://0.0.0.0:9092 swr.cn-east-3.myhuaweicloud.com/srebro/middleware/kafka:2.13-2.8.1

1.2.3 登录kafka容器，创建topic

docker exec -it kafka bash
cd /opt/kafka_2.13-2.8.1/bin
./kafka-topics.sh --zookeeper 172.16.10.37:2181 --create --topic mytestTopic1 --replication-factor 1 --partitions 3

1.2.4 登录kafka容器，启动一个生产者

docker exec -it kafka bash
cd /opt/kafka_2.13-2.8.1/bin
./kafka-console-producer.sh --bootstrap-server localhost:9092 --topic mytestTopic1

1.2.5 新开一个终端窗口，登录kafka容器，启动一个消费者

docker exec -it kafka bash
cd /opt/kafka_2.13-2.8.1/bin
./kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic mytestTopic1

1.2.6 模拟在生产者上，测试几条数据，观察消费者上有没有收到数据

1.2.7 kafka map 管理工具

A beautiful, concise and powerful kafka web management tool. 一个美观简洁且强大的kafka web管理工具。

官方帮助手册： https://github.com/dushixiang/kafka-map/blob/master/README-zh_CN.md

docker run -d \
    -p 8080:8080 \
    -v /opt/kafka-map/data:/usr/local/kafka-map/data \
    -e DEFAULT_USERNAME=admin \
    -e DEFAULT_PASSWORD=admin \
    --name kafka-map \
    --restart always dushixiang/kafka-map:latest

1.3 安装kafka3.6.0[不需要zookeeper]

1.3.1 编写Dockerfile

可以自己构建Dockerfile，或者使用我的镜像 swr.cn-east-3.myhuaweicloud.com/srebro/middleware/kafka-kraft:3.6.0

install_kafka.sh

#!/usr/bin/env bash

# 设置 Kafka 的版本和 Scala 版本的路径
path=/kafka/${KAFKA_VERSION}/kafka_${SCALA_VERSION}-${KAFKA_VERSION}.tgz

# 使用 curl 命令调用 Apache 的 closer.cgi 脚本，获取最近的镜像站点的 URL
downloadUrl=$(curl --stderr /dev/null "https://www.apache.org/dyn/closer.cgi?path=${path}&as_json=1" | jq -r '"\(.preferred)\(.path_info)"')

# 检查得到的 URL 是否有效，如果无效，则使用 Apache 的归档站点 URL
if [[ ! $(curl -sfI "${downloadUrl}") ]]; then
    downloadUrl="https://archive.apache.org/dist/${path}"
fi

# 使用 wget 命令下载 Kafka，并将其保存到 /tmp/kafka.tgz
wget "${downloadUrl}" -O "/tmp/kafka.tgz"

# 解压 Kafka 到 /opt 目录
tar xfz /tmp/kafka.tgz -C /opt

# 删除下载的压缩包
rm /tmp/kafka.tgz

# 创建一个符号链接，指向 Kafka 的安装目录
ln -s /opt/kafka_${SCALA_VERSION}-${KAFKA_VERSION} /opt/kafka

start_kafka.sh

#!/usr/bin/env bash

if [[ -z "$KAFKA_LISTENERS" ]]; then
  echo 'Using default listeners'
else
  echo "Using listeners: ${KAFKA_LISTENERS}"
  sed -r -i "s@^#?listeners=.*@listeners=$KAFKA_LISTENERS@g" "/opt/kafka/config/kraft/server.properties"
fi

if [[ -z "$KAFKA_ADVERTISED_LISTENERS" ]]; then
  echo 'Using default advertised listeners'
else
  echo "Using advertised listeners: ${KAFKA_ADVERTISED_LISTENERS}"
  sed -r -i "s@^#?advertised.listeners=.*@advertised.listeners=$KAFKA_ADVERTISED_LISTENERS@g" "/opt/kafka/config/kraft/server.properties"
fi

if [[ -z "$KAFKA_LISTENER_SECURITY_PROTOCOL_MAP" ]]; then
  echo 'Using default listener security protocol map'
else
  echo "Using listener security protocol map: ${KAFKA_LISTENER_SECURITY_PROTOCOL_MAP}"
  sed -r -i "s@^#?listener.security.protocol.map=.*@listener.security.protocol.map=$KAFKA_LISTENER_SECURITY_PROTOCOL_MAP@g" "/opt/kafka/config/kraft/server.properties"
fi

if [[ -z "$KAFKA_INTER_BROKER_LISTENER_NAME" ]]; then
  echo 'Using default inter broker listener name'
else
  echo "Using inter broker listener name: ${KAFKA_INTER_BROKER_LISTENER_NAME}"
  sed -r -i "s@^#?inter.broker.listener.name=.*@inter.broker.listener.name=$KAFKA_INTER_BROKER_LISTENER_NAME@g" "/opt/kafka/config/kraft/server.properties"
fi

uuid=$(/opt/kafka/bin/kafka-storage.sh random-uuid)
/opt/kafka/bin/kafka-storage.sh format -t $uuid -c /opt/kafka/config/kraft/server.properties
/opt/kafka/bin/kafka-server-start.sh /opt/kafka/config/kraft/server.properties

Dockerfile

FROM alpine:3.16 AS builder

RUN echo "http://mirrors.nju.edu.cn/alpine/v3.16/main" > /etc/apk/repositories \
  && echo "http://mirrors.nju.edu.cn/alpine/v3.16/community" >> /etc/apk/repositories

ENV KAFKA_VERSION=3.6.0
ENV SCALA_VERSION=2.13
COPY install_kafka.sh /bin/
RUN apk update \
  && apk add --no-cache bash curl jq \
  && /bin/install_kafka.sh \
  && apk del curl jq

FROM alpine:3.16

RUN echo "http://mirrors.nju.edu.cn/alpine/v3.16/main" > /etc/apk/repositories \
  && echo "http://mirrors.nju.edu.cn/alpine/v3.16/community" >> /etc/apk/repositories

RUN apk update && apk add --no-cache bash openjdk11-jre
COPY --from=builder /opt/kafka /opt/kafka
COPY start_kafka.sh /bin/
CMD [ "/bin/start_kafka.sh" ]

1.3.2 构建镜像

docker build -t XXXX/kafka-kraft .

1.3.3 运行kafka

docker run -d --name kafka -e KAFKA_ADVERTISED_LISTENERS=PLAINTEXT://172.16.10.37:9092 -p 9092:9092 -v /home/application/Middleware/kafka/data:/var/lib/kafka/data --restart=always swr.cn-east-3.myhuaweicloud.com/srebro/middleware/kafka-kraft:3.6.0

1.3.4 运行kafka-map 管理工具

docker run -d \
    -p 19006:8080 \
    -v /opt/kafka-map/data:/usr/local/kafka-map/data \
    -e DEFAULT_USERNAME=admin \
    -e DEFAULT_PASSWORD=admin \
    --name kafka-map \
    --restart always dushixiang/kafka-map:latest

二、docker-compose 部署kafka单节点

2.1 安装docker-compose

可以参考这篇Cenotos7 安装docker-compose

2.2 编排docker-compose文件

注意先要创建docker 单独的网络
创建自定义网络： docker network create -d bridge --subnet "192.168.10.0/24" --gateway "192.168.10.1" srebro.cn

kafka & zookeeper版本

version: '3'
services:
  zookeeper:
    image: swr.cn-east-3.myhuaweicloud.com/srebro/middleware/zookeeper:3.4.13
    networks:
      - srebro.cn
    volumes:
       - /home/application/Middleware/zookeeper-kafka/zookeeper/data:/data
    container_name: zookeeper
    environment:
      ZOOKEEPER_CLIENT_PORT: 2181
      ZOOKEEPER_TICK_TIME: 2000
    ports:
      - 2181:2181
    restart: 'unless-stopped'

  kafka:
    image: swr.cn-east-3.myhuaweicloud.com/srebro/middleware/kafka:2.13-2.8.1
    container_name: kafka
    networks:
      - srebro.cn
    depends_on:
      - zookeeper
    ports: 
      - 9092:9092
    volumes:
      - /home/application/Middleware/zookeeper-kafka/kafka/data:/kafka
    environment:
      KAFKA_CREATE_TOPICS: "test"
      KAFKA_BROKER_NO: 0
      KAFKA_LISTENERS: PLAINTEXT://kafka:9092
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://172.16.10.157:9092
      KAFKA_INTER_BROKER_LISTENER_NAME: PLAINTEXT
      KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
      KAFKA_HEAP_OPTS: "-Xmx512M -Xms16M"
    restart: 'unless-stopped'

  kafka-map: 
    image: dushixiang/kafka-map:latest
    networks:
      - srebro.cn
    volumes:
      - "./kafka-map/data:/usr/local/kafka-map/data"  
    ports:
      - 9006:8080
    environment:
      DEFAULT_USERNAME: admin
      DEFAULT_PASSWORD: 123456
    depends_on:
      - zookeeper
      - kafka
    restart: 'unless-stopped'


networks:
  srebro.cn:
    external: true

kafka3.6.0 [不需要zookeeper] 版本

version: '3'

services:
  kafka:
    image: swr.cn-east-3.myhuaweicloud.com/srebro/middleware/kafka-kraft:3.6.0
    networks:
      - srebro.cn
    environment:
      #KAFKA_LISTENERS: PLAINTEXT://:9092 # Kafka 监听端口配置
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://172.16.10.201:9092 # Kafka 对外公布的地址
      #KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: PLAINTEXT:PLAINTEXT # 监听器与安全协议的映射
      #KAFKA_INTER_BROKER_LISTENER_NAME: PLAINTEXT # Broker 间通信使用的监听器
    ports:
      - "9092:9092"
    volumes:
      - /home/application/Middleware/kafka/data:/var/lib/kafka/data
    restart: always


  kafka-map: 
    image: dushixiang/kafka-map:latest
    networks:
      - srebro.cn
    volumes:
      - "./kafka-map/data:/usr/local/kafka-map/data"  
    ports:
      - 19006:8080
    environment:
      DEFAULT_USERNAME: admin
      DEFAULT_PASSWORD: 123456
    depends_on:
      - kafka
    restart: 'unless-stopped'


networks:
  srebro.cn:
    external: true

三、常见问题

3.1 如果zookeeper 容器无法正常运行，报错：

zookeeper  | library initialization failed - unable to allocate file descriptor table - out of memory/usr/bin/start-zk.sh: line 4:    12 Aborted                 (core dumped) /opt/zookeeper-3.4.13/bin/zkServer.sh start-foreground

无法分配文件描述符,一般是因为操作系统层面和docker 需要配置Limit

(1)、操作系统层面优化：

cat >> /etc/security/limits.conf << eof
root soft nofile 65535
root hard nofile 65535
root soft nproc 65535
root hard nproc 65535
root soft core unlimited
root hard core unlimited
* soft nofile 65535
* hard nofile 65535
* soft nproc 65535
* hard nproc 65535
* soft core unlimited
* hard core unlimited
eof


进入到/etc/security/limits.d/下
删除  *-nproc.conf
否则生效的为/etc/security/limits.d/下 文件的配置

cd /etc/security/limits.d/
rm -rf  *-nproc.conf

(2)、Docker层面优化：

vim /etc/systemd/system/docker.service

[Unit]
Description=Docker Application Container Engine
Documentation=https://docs.docker.com
After=network-online.target firewalld.service
Wants=network-online.target

[Service]
Type=notify
ExecStart=/usr/bin/dockerd
ExecReload=/bin/kill -s HUP $MAINPID
LimitNOFILE=65535
LimitNPROC=65535
LimitCORE=65535
TimeoutStartSec=0
Delegate=yes
KillMode=process
Restart=on-failure
StartLimitBurst=3
StartLimitInterval=60s

[Install]
WantedBy=multi-user.target

容器化部署Kafka的最佳实践