Spring boot集成Kafka消息中间件

<dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>
        <dependency>
            <groupId>org.projectlombok</groupId>
            <artifactId>lombok</artifactId>
            <optional>true</optional>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.springframework.kafka/spring-kafka -->
        <dependency>
            <groupId>org.springframework.kafka</groupId>
            <artifactId>spring-kafka</artifactId>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.apache.kafka/kafka-clients -->
        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka-clients</artifactId>
        </dependency>
        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>fastjson</artifactId>
            <version>1.2.41</version>
        </dependency>

二．配置文件

server.port=4400

#kafka配置
#============== kafka ===================
# 指定kafka 代理地址，可以多个
spring.kafka.bootstrap-servers=192.168.102.88:9092
# 指定默认消费者group id
spring.kafka.consumer.group-id=jkafka.demo
#earliest  当各分区下有已提交的offset时，从提交的offset开始消费；无提交的offset时，从头开始消费
#latest 当各分区下有已提交的offset时，从提交的offset开始消费；无提交的offset时，消费新产生的该分区下的数据
#none topic各分区都存在已提交的offset时，从offset后开始消费；只要有一个分区不存在已提交的offset，则抛出异常
spring.kafka.consumer.auto-offset-reset=latest
spring.kafka.consumer.enable-auto-commit=false
spring.kafka.consumer.auto-commit-interval=100
# 指定消费者消息key和消息体的编解码方式
spring.kafka.consumer.key-deserializer=org.apache.kafka.common.serialization.StringDeserializer 
spring.kafka.consumer.value-deserializer=org.apache.kafka.common.serialization.StringDeserializer

三．编辑消息实体

@Data
public class Message  implements Serializable{

    /**
     * 
     */
    private static final long serialVersionUID = 2522280475099635810L;

    //消息ID
    private String id;

    //消息内容
    private String msg;

    // 消息发送时间
    private Date sendTime;

}

四．消息发送类

@Component
public class KfkaProducer {

    private static Logger logger = LoggerFactory.getLogger(KfkaProducer.class);

    @Autowired
    private KafkaTemplate<String, String> kafkaTemplate;

    public void send(String topic,Message message) {
        try {
            logger.info("正在发送消息...");
            kafkaTemplate.send(topic,JSON.toJSONString(message));
            logger.info("发送消息成功 ----->>>>>  message = {}", JSON.toJSONString(message));
        } catch (Exception e) {
            e.getMessage();
        }

    }
}

五．发现监听接收类

@Component
public class KfkaListener {

    private static Logger logger = LoggerFactory.getLogger(KfkaListener.class);

    @KafkaListener(topics = {"hello"})
    public void listen(ConsumerRecord<?, ?> record) {
        Optional<?> kafkaMessage = Optional.ofNullable(record.value());
        if (kafkaMessage.isPresent()) {
            Object message = kafkaMessage.get();
            logger.info("接收消息------------ record =" + record);
            logger.info("接收消息----------- message =" + message);
        }
    }
}

六．定时发送信息测试类

@EnableScheduling
@Component
public class PublisherController {

    private static final Logger log = LoggerFactory.getLogger(PublisherController.class);

    @Autowired
    private KfkaProducer kfkaProducer;

    @Scheduled(fixedRate = 5000)
    public void pubMsg() {
        Message msg=new Message();
        msg.setId(UUID.randomUUID().toString());
        msg.setMsg("发送这条消息给你，你好啊！！！！！！");
        msg.setSendTime(new Date());
        kfkaProducer.send("hello", msg);;
        log.info("Publisher sendes Topic... ");
    }
}

七．测试结果