新建spring boot项目
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这里使用intellij IDEA
添加kafka集成maven
<?xml version="1.0" encoding="UTF-8"?>4.0.0 com.example demo 0.0.1-SNAPSHOT jar demo Demo project for Spring Boot org.springframework.boot spring-boot-starter-parent 1.5.8.RELEASE UTF-8 UTF-8 1.8 org.springframework.boot spring-boot-starter-web org.springframework.kafka spring-kafka org.springframework.boot spring-boot-starter-test test org.springframework.boot spring-boot-maven-plugin
项目中application.properties 添加
spring.kafka.bootstrap-servers=vm208:9092,vm:9092,vm50:9092 spring.kafka.consumer.auto-offset-reset=latest spring.kafka.consumer.group-id=local_test spring.kafka.consumer.key-deserializer=org.apache.kafka.common.serialization.StringDeserializer spring.kafka.consumer.value-deserializer=org.apache.kafka.common.serialization.StringDeserializer spring.kafka.producer.key-serializer=org.apache.kafka.common.serialization.StringSerializer spring.kafka.producer.value-serializer=org.apache.kafka.common.serialization.StringSerializer spring.kafka.producer.acks=1
新建KafkaConsumer消费类
package com.example.demo.consumer;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.stereotype.Component;
@Component
public class KafkaConsumer {
private Logger logger = LoggerFactory.getLogger(this.getClass());
@KafkaListener(topics = {"test"})
public void listen(ConsumerRecord<?, ?> record) {
System.out.printf("offset = %d,key =%s,value=%s\n", record.offset(), record.key(), record.value());
}
}启动spring-boot程序,在kafka集群,模拟发送topic,检验接收
编写producer代码
package com.example.demo.producer;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.stereotype.Component;
@Component
public class KafkaProducer {
@Autowired
private KafkaTemplate kafkaTemplate;
String topic="test";
public void sendMessage(String key,String data){
kafkaTemplate.send(new ProducerRecord(topic,key,data));
}
}建立一个restful模拟发送( //http://localhost:8080/kafka/send.do?key=2&data=allen-test-message)
package com.example.demo.controller;
import com.example.demo.producer.KafkaProducer;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestMethod;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
@RestController
public class ProducerController {
@Autowired
private KafkaProducer kafkaProducer;
@RequestMapping(value = "/kafka/send.do", method = RequestMethod.GET)
public String sendMessage(@RequestParam(value = "key") String key, @RequestParam(value = "data") String data) {
kafkaProducer.sendMessage(key, data);
return "sucess";
}
}可以发现 spring-kafka大大减少了代码工作量.
官方文档: https://docs.spring.io/spring-kafka/docs/1.2.2.RELEASE/reference/html/
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创新互联。
