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Docker部署Kafka消息队列系统完整指南

作者:huingymm

在Docker中设置Kafka集群是一个相对简单的过程,因为它允许你快速地启动和配置多个Kafka实例,这篇文章主要介绍了Docker部署Kafka消息队列系统的相关资料,文中通过代码介绍的非常详细,需要的朋友可以参考下

本指南将详细介绍如何使用 Docker 部署 Kafka 消息队列系统,包括单节点和集群模式的部署方式。

1. 单节点部署 (Zookeeper + Kafka)

1.1 创建 docker-compose.yml 文件

version: '3.8'

services:
  zookeeper:
    image: bitnami/zookeeper:3.8
    container_name: zookeeper
    ports:
      - "2181:2181"
    environment:
      - ALLOW_ANONYMOUS_LOGIN=yes
    volumes:
      - zookeeper_data:/bitnami/zookeeper

  kafka:
    image: bitnami/kafka:3.4
    container_name: kafka
    ports:
      - "9092:9092"
    environment:
      - KAFKA_CFG_ZOOKEEPER_CONNECT=zookeeper:2181
      - ALLOW_PLAINTEXT_LISTENER=yes
      - KAFKA_CFG_ADVERTISED_LISTENERS=PLAINTEXT://${HOST_IP}:9092
      - KAFKA_CFG_AUTO_CREATE_TOPICS_ENABLE=true
    volumes:
      - kafka_data:/bitnami/kafka
    depends_on:
      - zookeeper

volumes:
  zookeeper_data:
    driver: local
  kafka_data:
    driver: local

1.2 启动服务

export HOST_IP=$(hostname -I | awk '{print $1}')
docker-compose up -d

2. KRaft 模式部署 (无 Zookeeper)

2.1 创建 docker-compose.yml 文件

version: '3.8'

services:
  kafka:
    image: bitnami/kafka:3.4
    container_name: kafka
    ports:
      - "9092:9092"
    environment:
      - KAFKA_CFG_PROCESS_ROLES=controller,broker
      - KAFKA_CFG_NODE_ID=1
      - KAFKA_CFG_CONTROLLER_QUORUM_VOTERS=1@kafka:9093
      - KAFKA_CFG_LISTENERS=PLAINTEXT://:9092,CONTROLLER://:9093
      - KAFKA_CFG_ADVERTISED_LISTENERS=PLAINTEXT://${HOST_IP}:9092
      - KAFKA_CFG_AUTO_CREATE_TOPICS_ENABLE=true
    volumes:
      - kafka_data:/bitnami/kafka

volumes:
  kafka_data:
    driver: local

2.2 启动服务

export HOST_IP=$(hostname -I | awk '{print $1}')
docker-compose up -d

3. 集群部署 (3节点)

3.1 创建 docker-compose.yml 文件

version: '3.8'

services:
  zookeeper:
    image: bitnami/zookeeper:3.8
    container_name: zookeeper
    ports:
      - "2181:2181"
    environment:
      - ALLOW_ANONYMOUS_LOGIN=yes
      - ZOO_SERVER_ID=1
      - ZOO_SERVERS=0.0.0.0:2888:3888
    volumes:
      - zookeeper_data:/bitnami/zookeeper

  kafka1:
    image: bitnami/kafka:3.4
    container_name: kafka1
    ports:
      - "9092:9092"
    environment:
      - KAFKA_CFG_ZOOKEEPER_CONNECT=zookeeper:2181
      - ALLOW_PLAINTEXT_LISTENER=yes
      - KAFKA_CFG_BROKER_ID=1
      - KAFKA_CFG_ADVERTISED_LISTENERS=PLAINTEXT://${HOST_IP}:9092
      - KAFKA_CFG_AUTO_CREATE_TOPICS_ENABLE=true
    volumes:
      - kafka1_data:/bitnami/kafka
    depends_on:
      - zookeeper

  kafka2:
    image: bitnami/kafka:3.4
    container_name: kafka2
    ports:
      - "9093:9093"
    environment:
      - KAFKA_CFG_ZOOKEEPER_CONNECT=zookeeper:2181
      - ALLOW_PLAINTEXT_LISTENER=yes
      - KAFKA_CFG_BROKER_ID=2
      - KAFKA_CFG_ADVERTISED_LISTENERS=PLAINTEXT://${HOST_IP}:9093
      - KAFKA_CFG_AUTO_CREATE_TOPICS_ENABLE=true
    volumes:
      - kafka2_data:/bitnami/kafka
    depends_on:
      - zookeeper

  kafka3:
    image: bitnami/kafka:3.4
    container_name: kafka3
    ports:
      - "9094:9094"
    environment:
      - KAFKA_CFG_ZOOKEEPER_CONNECT=zookeeper:2181
      - ALLOW_PLAINTEXT_LISTENER=yes
      - KAFKA_CFG_BROKER_ID=3
      - KAFKA_CFG_ADVERTISED_LISTENERS=PLAINTEXT://${HOST_IP}:9094
      - KAFKA_CFG_AUTO_CREATE_TOPICS_ENABLE=true
    volumes:
      - kafka3_data:/bitnami/kafka
    depends_on:
      - zookeeper

volumes:
  zookeeper_data:
    driver: local
  kafka1_data:
    driver: local
  kafka2_data:
    driver: local
  kafka3_data:
    driver: local

3.2 启动集群

export HOST_IP=$(hostname -I | awk '{print $1}')
docker-compose up -d

4. 基本操作验证

4.1 创建主题

docker exec -it kafka kafka-topics.sh --create \
  --bootstrap-server localhost:9092 \
  --replication-factor 1 \
  --partitions 3 \
  --topic test-topic

4.2 生产消息

docker exec -it kafka kafka-console-producer.sh \
  --bootstrap-server localhost:9092 \
  --topic test-topic

4.3 消费消息

docker exec -it kafka kafka-console-consumer.sh \
  --bootstrap-server localhost:9092 \
  --topic test-topic \
  --from-beginning

4.4 查看主题列表

docker exec -it kafka kafka-topics.sh --list \
  --bootstrap-server localhost:9092

5. 管理技巧

5.1 数据持久化

所有数据卷都配置在 volumes 部分,确保数据不会因容器重启而丢失。

5.2 监控配置

docker stats kafka zookeeper

5.3 日志查看

docker logs -f kafka

5.4 停止和清理

docker-compose down
# 如需删除数据卷
docker-compose down -v

6. 注意事项

通过以上配置,您可以快速部署适用于开发和测试环境的 Kafka 服务。生产环境请根据实际需求调整配置参数和安全设置。

到此这篇关于Docker部署Kafka消息队列系统的文章就介绍到这了,更多相关Docker部署Kafka内容请搜索脚本之家以前的文章或继续浏览下面的相关文章希望大家以后多多支持脚本之家!

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