springBoot使用Kafka+使用docker-compose搭建环境_springboot kafka docker compose-优快云博客

本文链接：https://blog.youkuaiyun.com/github_35976996/article/details/93906973

本文详细介绍了如何使用Docker Compose搭建Kafka集群，包括Zookeeper和Kafka Manager，并展示了如何在Spring Boot项目中引入依赖，配置Kafka连接参数，以及实现消息生产和消费的示例代码。

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一、编写docker-compose.yml

version: '2'
services:
  lzx_zookeeper:
    image: wurstmeister/zookeeper
    ports:
      - "2181:2181"
  lzx_kafka:
    image: wurstmeister/kafka
    volumes:
        - /etc/localtime:/etc/localtime
    ports:
      - "9092:9092"
    environment:
      KAFKA_ADVERTISED_HOST_NAME: 39.100.73.134
      KAFKA_ZOOKEEPER_CONNECT: 39.100.73.134:2181
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://39.100.73.134:9092
      KAFKA_LISTENERS: PLAINTEXT://0.0.0.0:9092
      KAFKA_HEAP_OPTS: "-Xmx256M -Xms128M"
  lzx_kafka-manager:
    image: sheepkiller/kafka-manager
    environment:
      ZK_HOSTS: 39.100.73.134:2181
    ports:
      - "9000:9000"

二、springBoot项目引入依赖

<dependency>
    <groupId>org.springframework.kafka</groupId>
    <artifactId>spring-kafka</artifactId>
    <version>2.2.7.RELEASE</version>
</dependency>

三、springBoot配置文件application.yml添加如下内容

spring:
  kafka:
    bootstrap-servers: 39.100.73.134:9092     #Kafka服务端地址
    producer:
      key-serializer: org.apache.kafka.common.serialization.StringSerializer
      value-serializer: org.apache.kafka.common.serialization.StringSerializer

四、消息生产类

package com.lzx.demo.service.impl;

import com.lzx.demo.service.KafkaService;
import lombok.extern.slf4j.Slf4j;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.stereotype.Service;

/**
 * 描述: Kafka业务实现
 *
 * @Auther: lzx
 * @Date: 2019/6/27 11:20
 */
@Service
@Slf4j
public class KafkaServiceImpl {

    private KafkaTemplate<String,String> kafkaTemplate;

    public KafkaServiceImpl(KafkaTemplate<String, String> kafkaTemplate) {
        this.kafkaTemplate = kafkaTemplate;
    }

    /**
     * 发布消息到 topic
     * @param channel topic 名称
     * @param message 消息内容
     */
    @Override
    public void sendChannelMess(String channel, String message) {
        kafkaTemplate.send(channel,message);
    }
}