本文小编为大家详细介绍“Springboot 2.x集成kafka 2.2.0的方法”，内容详细，步骤清晰，细节处理妥当，希望这篇“Springboot 2.x集成kafka 2.2.0的方法”文章能帮助大家解决疑惑，下面跟着小编的思路慢慢深入，一起来学习新知识吧。
引言
kafka近几年更新非常快，也可以看出kafka在企业中是用的频率越来越高，在springboot中集成kafka还是比较简单的，但是应该注意使用的版本和kafka中基本配置，这个地方需要信心，防止进入坑中。
基本环境
springboot版本2.1.4
kafka版本2.2.0
jdk 1.8
代码编写
1、基本引用pom
<?xml version="1.0" encoding="UTF-8"?><project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"><modelVersion>4.0.0</modelVersion><parent><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-parent</artifactId><version>2.1.4.RELEASE</version><relativePath/> <!-- lookup parent from repository --></parent><groupId>com.example</groupId><artifactId>demo</artifactId><version>0.0.1-SNAPSHOT</version><name>kafkademo</name><description>Demo project for Spring Boot</description> <properties><java.version>1.8</java.version></properties> <dependencies><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-web</artifactId></dependency> <dependency><groupId>mysql</groupId><artifactId>mysql-connector-java</artifactId><scope>runtime</scope></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-test</artifactId><scope>test</scope></dependency> <dependency><groupId>org.springframework.kafka</groupId><artifactId>spring-kafka</artifactId><version>2.2.0.RELEASE</version></dependency> <dependency><groupId>com.google.code.gson</groupId><artifactId>gson</artifactId><version>2.7</version></dependency> </dependencies> <build><plugins><plugin><groupId>org.springframework.boot</groupId><artifactId>spring-boot-maven-plugin</artifactId></plugin></plugins></build> </project>2、基本配置
spring.kafka.bootstrap-servers=2.1.1.1:9092spring.kafka.consumer.group-id=test-consumer-groupspring.kafka.consumer.key-deserializer=org.apache.kafka.common.serialization.StringDeserializerspring.kafka.consumer.value-deserializer=org.apache.kafka.common.serialization.StringDeserializerspring.kafka.producer.key-serializer=org.apache.kafka.common.serialization.StringSerializerspring.kafka.producer.value-serializer=org.apache.kafka.common.serialization.StringSerializer #logging.level.root=debug3、实体类
package com.example.demo.model; import java.util.Date; public class Messages { private Long id; private String msg; private Date sendTime; public Long getId() { return id; } public void setId(Long id) { this.id = id; } public String getMsg() { return msg; } public void setMsg(String msg) { this.msg = msg; } public Date getSendTime() { return sendTime; } public void setSendTime(Date sendTime) { this.sendTime = sendTime; }}4、生产者端
package com.example.demo.service; import com.example.demo.model.Messages;import com.google.gson.Gson;import com.google.gson.GsonBuilder;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.kafka.core.KafkaTemplate;import org.springframework.kafka.support.SendResult;import org.springframework.stereotype.Service;import org.springframework.util.concurrent.ListenableFuture; import java.util.Date;import java.util.UUID; @Servicepublic class KafkaSender { @Autowired private KafkaTemplate<String, String> kafkaTemplate; private Gson gson = new GsonBuilder().create(); public void send() { Messages message = new Messages(); message.setId(System.currentTimeMillis()); message.setMsg("123"); message.setSendTime(new Date()); ListenableFuture<SendResult<String, String>> test0 = kafkaTemplate.send("newtopic", gson.toJson(message)); }}5、消费者
package com.example.demo.service; import org.apache.kafka.clients.consumer.ConsumerRecord;import org.springframework.kafka.annotation.KafkaListener;import org.springframework.stereotype.Service; import java.util.Optional; @Servicepublic class KafkaReceiver { @KafkaListener(topics = {"newtopic"}) public void listen(ConsumerRecord<?, ?> record) { Optional<?> kafkaMessage = Optional.ofNullable(record.value()); if (kafkaMessage.isPresent()) { Object message = kafkaMessage.get(); System.out.println("record =" + record); System.out.println("message =" + message); } } }6、测试
在启动方法中模拟消息生产者，向kafka中发送消息
package com.example.demo; import com.example.demo.service.KafkaSender;import org.springframework.boot.SpringApplication;import org.springframework.boot.autoconfigure.SpringBootApplication;import org.springframework.context.ConfigurableApplicationContext; @SpringBootApplicationpublic class KafkademoApplication { public static void main(String[] args) {ConfigurableApplicationContext context = SpringApplication.run(KafkademoApplication.class, args); KafkaSender sender = context.getBean(KafkaSender.class);for (int i = 0; i <1000; i++) {sender.send(); try {Thread.sleep(300);} catch (InterruptedException e) {e.printStackTrace();}} } }效果展示
命令行直接消费消息
遇到的问题
生产端连接kafka超时
at org.apache.kafka.common.network.NetworkReceive.readFrom(NetworkReceive.java:119)
解决方案：
修改kafka中的server.properties中的下面配置，将原来的默认配置替换成下面ip+端口的形式，重启kafka
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