kafka系列三springboot集成kafka

开始springboot项目整合kafka

1.项目依赖

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

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>
        <!-- yml解析器 -->
        <dependency>
            <groupId>org.yaml</groupId>
            <artifactId>snakeyaml</artifactId>
        </dependency>
        <!--kafka-->
        <dependency>
            <groupId>org.springframework.kafka</groupId>
            <artifactId>spring-kafka</artifactId>
        </dependency>
        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka-clients</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.kafka</groupId>
            <artifactId>spring-kafka-test</artifactId>
            <scope>test</scope>
        </dependency>

2.yml文件配置

bootstrap-servers配置kafka的监听地址，集群的话配置多个地址以逗号隔开

spring:
  kafka:
    bootstrap-servers: 200.100.1.108:9092,200.100.1.109:9092,200.100.1.110:9092 #指定kafka server的地址，集群配多个，中间，逗号隔开
    producer:
      key-serializer: org.apache.kafka.common.serialization.StringSerializer
      value-serializer: org.apache.kafka.common.serialization.StringSerializer
    consumer:
      group-id: default_consumer_group #群组ID
      #enable-auto-commit: true
      #auto-commit-interval: 1000
      key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
      value-deserializer: org.apache.kafka.common.serialization.StringDeserializer
server:
  port: 8500

3.创建测试接口创建生产者消息

kafka0是kafka的主题，要和消费者demo文件中的topics一致

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;

/**
 * @author lizhe
 * @date by 2021/02/13
 */
@RestController
public class ProducerController {
    @Autowired
    private KafkaTemplate<String,Object> kafkaTemplate;
    @RequestMapping("message/send")
    public String send(String msg){
        kafkaTemplate.send("kafka0", msg); //使用kafka模板发送信息
        return "success";
    }
}

4.创建消费者接受消息demo

import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.stereotype.Component;

/**
 * @author lizhe
 * 监听服务器上的kafka是否有相关的消息发过来
 * @date by 2021/02/13
 */
@Component
public class ConsumerDemo {
    /**
     * 定义此消费者接收topics = "demo"的消息，与controller中的topic对应上即可
     * @param record 变量代表消息本身，可以通过ConsumerRecord<?,?>类型的record变量来打印接收的消息的各种信息
     */
    @KafkaListener(topics = "kafka0")
    public void listen (ConsumerRecord<?, ?> record){
        System.out.printf("topic is %s, offset is %d, value is %s \n", record.topic(), record.offset(), record.value());
    }
}

5.调用api接口发送消息

params加上msg参数

6.查看控制台消息

‘hellp’ 便是收到的消息

topic is kafka0, offset is 3, value is hellp 

7.进入linux的kafka接受消息查看

[root@master ~]# kafka-console-consumer.sh --bootstrap-server 192.168.1.108:9092 --topic kafka0 --from-beginning

再次调用接口，会接收到消息 hellp

参考：

blog.csdn.net/yuanlong122…

www.jianshu.com/p/5da86afed…

这篇好文章是转载于：学新通技术网