Kafka中怎么通过整合SpringBoot实现消息发送与消费，相信很多没有经验的人对此束手无策，为此本文总结了问题出现的原因和解决方法，通过这篇文章希望你能解决这个问题。
kafka和zookeeper集群前边写过了。如果遇到kakfa说没有连接记得把kafka下logs日志都删除了，重新启动kafka集群再启动springboot服务
zookeeper https://my.oschina.net/u/3730149/blog/3071737 kafka https://my.oschina.net/u/3730149/blog/3071754
生产者
maven依赖
<?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>
<groupId>com.gzh.kafka.producer</groupId>
<artifactId>producer</artifactId>
<version>0.0.1-SNAPSHOT</version>
<packaging>jar</packaging>
<name>kafka-producer-master</name>
<description>demo project for kafka producer</description>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>1.5.9.RELEASE</version>
<relativePath/> <!-- lookup parent from repository -->
</parent>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
<spring-kafka.version>2.1.5.RELEASE</spring-kafka.version>
<java.version>1.8</java.version>
</properties>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter</artifactId>
</dependency>
<!-- https://mvnrepository.com/artifact/org.springframework.kafka/spring-kafka -->
<dependency>
<groupId>org.springframework.kafka</groupId>
<artifactId>spring-kafka</artifactId>
<version>${spring-kafka.version}</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
<!-- https://mvnrepository.com/artifact/org.springframework.kafka/spring-kafka-test -->
<dependency>
<groupId>org.springframework.kafka</groupId>
<artifactId>spring-kafka-test</artifactId>
<version>${spring-kafka.version}</version>
<scope>test</scope>
</dependency>
<!-- https://mvnrepository.com/artifact/io.springfox/springfox-swagger2 -->
<dependency>
<groupId>io.springfox</groupId>
<artifactId>springfox-swagger2</artifactId>
<version>2.8.0</version>
</dependency>
<!-- https://mvnrepository.com/artifact/io.springfox/springfox-swagger-ui -->
<dependency>
<groupId>io.springfox</groupId>
<artifactId>springfox-swagger-ui</artifactId>
<version>2.8.0</version>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
</plugin>
</plugins>
</build>
</project>application.properties
server.port=8000 spring.application.name=kafka-producer #kafka configuration spring.kafka.producer.bootstrap-servers=127.0.0.1:9092,127.0.0.1:9093,127.0.0.1:9094 spring.kafka.producer.key-serializer=org.apache.kafka.common.serialization.StringSerializer spring.kafka.producer.value-serializer=org.apache.kafka.common.serialization.StringSerializer #topic kafka.app.topic.foo=test20180430
使用Spring Boot发送Spring Kafka消息
SpringKafka提供了使用Producer的KafkaTemplate类发送消息，并提供将数据发送到Kafka主题的高级操作。 提供异步和同步方法，异步方法返回Future。Spring Boot根据application.properties属性文件中配置的属性自动配置并初始化KafkaTemplate。
为了方便测试发送消息，使用了Spring的定时任务，在类上使用@EnableScheduling 注解开启定时任务，通过@Scheduled注解指定发送消息规则。
package com.gzh.kafka.producer.component;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.kafka.support.SendResult;
import org.springframework.scheduling.annotation.EnableScheduling;
import org.springframework.scheduling.annotation.Scheduled;
import org.springframework.stereotype.Component;
import org.springframework.util.concurrent.ListenableFuture;
@Component
@EnableScheduling
public class KafkaMessageProducer {
private static final Logger LOG = LoggerFactory.getLogger(KafkaMessageProducer.class);
@Autowired
private KafkaTemplate<String, String> kafkaTemplate;
@Value("${kafka.app.topic.foo}")
private String topic;
@Scheduled(cron = "00/5 * * * * ?")
public void send() {
String message = "Hello World---" + System.currentTimeMillis();
LOG.info("topic="+topic+",message="+message);
ListenableFuture<SendResult<String, String>> future = kafkaTemplate.send(topic, message);
future.addCallback(success -> LOG.info("KafkaMessageProducer 发送消息成功！"),
fail -> LOG.error("KafkaMessageProducer 发送消息失败！"));
}
}创建消息生产者启动类
package com.gzh.kafka.producer;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.boot.context.properties.EnableConfigurationProperties;
@SpringBootApplication
@EnableConfigurationProperties
public class KafkaProducerApplication{
public static void main(String[] args) {
SpringApplication.run(KafkaProducerApplication.class, args);
}
}至此，Spring Boot整合Spring Kafka消息生产者应用已经整合完毕。启动zookeeper、kafka各个服务器。启动生产者应用，查看消息生产者应用控制台日志，显示发送消息成功！说明整合OK。
也可以用前段web页面请求的方式
package com.gzh.kafka.producer.service;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.kafka.support.SendResult;
import org.springframework.stereotype.Service;
import org.springframework.util.concurrent.ListenableFuture;
@Service
public class KafkaMessageSendService {
private static final Logger LOG = LoggerFactory.getLogger(KafkaMessageSendService.class);
@Autowired
private KafkaTemplate<String, String> kafkaTemplate;
@Value("${kafka.app.topic.foo}")
private String topic;
public void send(String message){
LOG.info("topic="+topic+",message="+message);
ListenableFuture<SendResult<String, String>> future = kafkaTemplate.send(topic, message);
future.addCallback(success -> LOG.info("KafkaMessageProducer 发送消息成功！"),
fail -> LOG.error("KafkaMessageProducer 发送消息失败！"));
}
}界面请求处理controller类
package com.gzh.kafka.producer.controller;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.http.MediaType;
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;
import com.gzh.kafka.producer.service.KafkaMessageSendService;
@RestController
@RequestMapping(value="send",produces=MediaType.APPLICATION_JSON_UTF8_VALUE)
public class KafkaMessageSendController {
@Autowired
private KafkaMessageSendService kafkaMessageSendService;
@RequestMapping(value="/sendMessage",method=RequestMethod.POST)
public String send(@RequestParam(required=true) String message){
try {
kafkaMessageSendService.send(message);
} catch (Exception e) {
return "send failed.";
}
return message;
}
}通过Swagger访问测试Controller服务请求
消费者
maven依赖
<?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>
<groupId>com.gzh.kafka.consumer</groupId>
<artifactId>consumer</artifactId>
<version>0.0.1-SNAPSHOT</version>
<packaging>jar</packaging>
<name>kafka-consumer-master</name>
<description>demo project for kafka consumer</description>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>1.5.9.RELEASE</version>
<relativePath/> <!-- lookup parent from repository -->
</parent>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
<spring-kafka.version>1.3.4.RELEASE</spring-kafka.version>
<java.version>1.8</java.version>
</properties>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter</artifactId>
</dependency>
<!-- https://mvnrepository.com/artifact/org.springframework.kafka/spring-kafka -->
<dependency>
<groupId>org.springframework.kafka</groupId>
<artifactId>spring-kafka</artifactId>
<version>${spring-kafka.version}</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
<!-- https://mvnrepository.com/artifact/org.springframework.kafka/spring-kafka-test -->
<dependency>
<groupId>org.springframework.kafka</groupId>
<artifactId>spring-kafka-test</artifactId>
<version>${spring-kafka.version}</version>
<scope>test</scope>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
</plugin>
</plugins>
</build>
</project>注意，这是使用Spring-Kafka时一定要注意版本问题，否则会报各种奇葩错误。Spring官方网站上给出了SpringKafka和kafka-client版本（它的版本号要和kafka服务器的版本保持一致）的对应关系： 
application.properties配置
server.port=8001 spring.application.name=kafka-consumer #kafka configuration #指定消息被消费之后自动提交偏移量，以便下次继续消费 spring.kafka.consumer.enable-auto-commit=true #指定消息组 spring.kafka.consumer.group-id=guan #指定kafka服务器地址 spring.kafka.consumer.bootstrap-servers=127.0.0.1:9092,127.0.0.1:9093,127.0.0.1:9094 #指定从最近地方开始消费(earliest) spring.kafka.consumer.auto-offset-reset=latest spring.kafka.consumer.key-deserializer=org.apache.kafka.common.serialization.StringDeserializer spring.kafka.consumer.value-deserializer=org.apache.kafka.common.serialization.StringDeserializer #topic kafka.app.topic.foo=test20180430
通过使用@KafkaListener来注解一个方法Spring Kafka会自动创建一个消息监听器容器。使用该注解，并指定要消费的topic（也可以指定消费组以及分区号，支持正则表达式匹配），这样，消费者一旦启动，就会监听kafka服务器上的topic，实时进行消费消息。
package com.gzh.kafka.consumer.service;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.messaging.MessageHeaders;
import org.springframework.messaging.handler.annotation.Headers;
import org.springframework.messaging.handler.annotation.Payload;
import org.springframework.stereotype.Component;
@Component
public class KafkaMessageConsumer {
private static final Logger LOG = LoggerFactory.getLogger(KafkaMessageConsumer.class);
@KafkaListener(topics={"${kafka.app.topic.foo}"})
public void receive(@Payload String message, @Headers MessageHeaders headers){
LOG.info("KafkaMessageConsumer 接收到消息："+message);
headers.keySet().forEach(key->LOG.info("{}: {}",key,headers.get(key)));
}
}创建消息消费者启动类
package com.gzh.kafka.consumer;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.boot.context.properties.EnableConfigurationProperties;
@SpringBootApplication
@EnableConfigurationProperties
public class KafkaConsumerApplication {
public static void main(String[] args) {
SpringApplication.run(KafkaConsumerApplication.class, args);
}
}消费者应用已经完成，接下来让我们验证Spring Kafka消息发送和接收效果。先依次启动zookeeper、kafka服务器，然后在启动生产者(kafka-producer-master)应用，再启动消费者(kafka-consumer-master)应用，然后观察生产者和消费者启动类日志： 显示接受消息成功！
看完上述内容，你们掌握Kafka中怎么通过整合SpringBoot实现消息发送与消费的方法了吗？如果还想学到更多技能或想了解更多相关内容，欢迎关注亿速云行业资讯频道，感谢各位的阅读！
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