linux环境下，使用docker安装apache kafka (docker-compose)

使用docker 创建kafka,达到项目中连接linux服务器创建的kafka，进行开发使用。 1.在linux中，在指定位置路径，创建docker-compose.yml文件，然后进行添加内容，我用的docker版本是26.1.1：

yaml 复制代码

version: '3'
services:
  zookeeper:
    image: confluentinc/cp-zookeeper:7.6.0
    hostname: zookeeper
    container_name: zookeeper
    ports:
      - "2181:2181"
    environment:
      ZOOKEEPER_CLIENT_PORT: 2181
      ZOOKEEPER_TICK_TIME: 2000

  kafka:
    image: confluentinc/cp-kafka:7.6.0
    hostname: kafka
    container_name: kafka
    depends_on:
      - zookeeper
    ports:
      - "9092:9092"
      - "29092:29092"
    environment:
      KAFKA_BROKER_ID: 1
      KAFKA_ZOOKEEPER_CONNECT: 'zookeeper:2181'
      KAFKA_LISTENERS: INTERNAL://0.0.0.0:29092,EXTERNAL://0.0.0.0:9092
      KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: INTERNAL:PLAINTEXT,EXTERNAL:PLAINTEXT
      KAFKA_ADVERTISED_LISTENERS: INTERNAL://kafka:29092,EXTERNAL://{服务器IP}:9092
      KAFKA_INTER_BROKER_LISTENER_NAME: INTERNAL
      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
      KAFKA_GROUP_INITIAL_REBALANCE_DELAY_MS: 0
      KAFKA_TRANSACTION_STATE_LOG_MIN_ISR: 1
      KAFKA_TRANSACTION_STATE_LOG_REPLICATION_FACTOR: 1

2.保存好docker-compose.yml

3.在docker-compose.yml文件目录下执行:docker-compose up -d

4.观察启动成功后，使用命令在linux服务器进行测试，

创建 topic （topic名字=test-topic）

docker exec kafka kafka-topics --create --topic test-topic --bootstrap-server localhost:9092 --partitions 1 --replication-factor 1

生产消息（交互式）

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

-交互模式下输入kafka value,然后回车

消费消息（另开终端）

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

-输入消费信息命令后，在控制台观察输出，在生产者回车value后，消费者控制台会同步出现value

5.springBoot项目中配置kafka,供参考：

yaml 复制代码

kafka:
  topic: kafka_topic_outputMessage

spring:
  kafka:
    bootstrap-servers: {kafka所在linux机器IP}:9092
    producer:
      key-serializer: org.apache.kafka.common.serialization.StringSerializer
      value-serializer: org.apache.kafka.common.serialization.StringSerializer
    consumer:
      properties:
        group:
          id: {消费者消费的组ID}
      key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
      value-deserializer: org.apache.kafka.common.serialization.StringDeserializer