SpringBoot整合kafka

0.下载kafka，并启动

官方网址（Apache Kafka）

1.加入依赖

<dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.kafka</groupId>
            <artifactId>spring-kafka</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
        </dependency>

        <dependency>
            <groupId>org.projectlombok</groupId>
            <artifactId>lombok</artifactId>
            <optional>true</optional>
        </dependency>
        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>fastjson</artifactId>
            <version>1.2.28</version>
        </dependency>
        <dependency>
            <groupId>junit</groupId>
            <artifactId>junit</artifactId>
            <scope>test</scope>
        </dependency>

        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <version>8.0.31</version>
        </dependency>
        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>druid-spring-boot-starter</artifactId>
            <version>1.2.9</version>
        </dependency>

        <dependency>
            <groupId>org.projectlombok</groupId>
            <artifactId>lombok</artifactId>
            <optional>true</optional>
        </dependency>
        <dependency>
            <groupId>com.baomidou</groupId>
            <artifactId>mybatis-plus-boot-starter</artifactId>
            <version>3.4.2</version>
        </dependency>
    </dependencies>

2.配置文件

spring:
  # Kafka 配置项，对应 KafkaProperties 配置类
  kafka:
    bootstrap-servers: localhost:9092 # 指定 Kafka Broker 地址，可以设置多个，以逗号分隔
    # Kafka Producer 配置项
    producer:
      acks: 1 # 0-不应答。1-leader 应答。all-所有 leader 和 follower 应答。
      retries: 3 # 发送失败时，重试发送的次数
      key-serializer: org.apache.kafka.common.serialization.StringSerializer # 消息的 key 的序列化
      value-serializer: org.apache.kafka.common.serialization.StringSerializer # 消息的 value 的序列化
    # Kafka Consumer 配置项
    consumer:
      auto-offset-reset: latest # 设置消费者分组最初的消费进度为 earliest
      key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
      value-deserializer: org.apache.kafka.common.serialization.StringDeserializer

3.生产者

package com.example.springkafka.prodicer;

import com.alibaba.fastjson.JSON;
import com.example.springkafka.SpringKafkaApplication;
import com.example.springkafka.domain.User;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.kafka.support.SendResult;
import org.springframework.util.concurrent.ListenableFuture;
import org.springframework.util.concurrent.ListenableFutureCallback;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RestController;

import java.util.concurrent.ExecutionException;

@RestController
public class HelloProducer {
    public static final String TOPIC_NAME = "topic-test";

    @Autowired
    private KafkaTemplate<Object, Object> kafkaTemplate;

    @PostMapping("/send/{msg}")
    public String sendMsg(@PathVariable("msg") String msg) throws ExecutionException, InterruptedException {
        ListenableFuture<SendResult<Object, Object>> future = kafkaTemplate.send(TOPIC_NAME, msg);
        System.out.println("发送结果：" + future.get().toString());
        System.out.println("发送结果：" + future.get().toString());
        return "发送成功";
    }
}

4.消费者

package com.example.springkafka.consumer;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.stereotype.Component;

/**
 * @author szh
 */
@Component
public class HelloConsumer {
    public static final String TOPIC_NAME = "topic-test";

    //监听一个或者多个Topic
    @KafkaListener(topics = TOPIC_NAME, groupId = "TEST")
    public void handler(String message){
        System.out.println("收到消息："+message);

    }
}

5.启动运行，发送消息即可