一．创建Spring boot项目，添加如下依赖
<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
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持脚本之家。
