springboot对kafka的client很好的实现了集成，使用非常方便，本文也实现了一个在springboot中实现操作kafka的demo。

1.POM配置

只需要在dependencies中增加 spring-kafka的配置即可。完整效果如下：

<parent> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-parent</artifactId> <version>1.5.4.RELEASE</version> </parent> <properties> <java.version>1.8</java.version> <spring-kafka.version>1.2.2.RELEASE</spring-kafka.version> <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding> </properties> <dependencies> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-test</artifactId> <scope>test</scope> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-aop</artifactId> </dependency> <!-- spring-kafka --> <dependency> <groupId>org.springframework.kafka</groupId> <artifactId>spring-kafka</artifactId> <version>${spring-kafka.version}</version> </dependency> <dependency> <groupId>org.springframework.kafka</groupId> <artifactId>spring-kafka-test</artifactId> <version>${spring-kafka.version}</version> <scope>test</scope> </dependency> </dependencies>

2.生产者

参数配置类，其参数卸载yml文件中，通过@Value注入

package com.dhb.kafka.producer;import org.apache.kafka.clients.producer.ProducerConfig;import org.apache.kafka.common.serialization.StringSerializer;import org.springframework.beans.factory.annotation.Value;import org.springframework.context.annotation.Bean;import org.springframework.context.annotation.Configuration;import org.springframework.kafka.core.DefaultKafkaProducerFactory;import org.springframework.kafka.core.KafkaTemplate;import org.springframework.kafka.core.ProducerFactory;import java.util.HashMap;import java.util.Map;@Configurationpublic class SenderConfig { @Value("${kafka.bootstrap-servers}") private String bootstrapServers; @Bean public Map<String,Object> producerConfigs() { Map<String,Object> props = new HashMap<>(); props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG,this.bootstrapServers); props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class); props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG,StringSerializer.class); props.put(ProducerConfig.ACKS_CONFIG,"0"); return props; } @Bean public ProducerFactory<String,String> producerFactory() { return new DefaultKafkaProducerFactory<>(producerConfigs()); } @Bean public KafkaTemplate<String,String> kafkaTemplate() { return new KafkaTemplate<String, String>(producerFactory()); } @Bean public Sender sender() { return new Sender(); }}

消息发送类

package com.dhb.kafka.producer;import lombok.extern.slf4j.Slf4j;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.kafka.core.KafkaTemplate;@Slf4jpublic class Sender { @Autowired private KafkaTemplate<String,String> kafkaTemplate; public void send(String topic,String payload) { log.info("sending payload='{}' to topic='{}'",payload,topic); this.kafkaTemplate.send(topic,payload); }}

3.消费者

参数配置类

package com.dhb.kafka.consumer;import org.apache.kafka.clients.consumer.ConsumerConfig;import org.apache.kafka.common.serialization.StringDeserializer;import org.springframework.beans.factory.annotation.Value;import org.springframework.context.annotation.Bean;import org.springframework.context.annotation.Configuration;import org.springframework.kafka.annotation.EnableKafka;import org.springframework.kafka.config.ConcurrentKafkaListenerContainerFactory;import org.springframework.kafka.core.ConsumerFactory;import org.springframework.kafka.core.DefaultKafkaConsumerFactory;import java.util.HashMap;import java.util.Map;@Configuration@EnableKafkapublic class ReceiverConfig { @Value("${kafka.bootstrap-servers}") private String bootstrapServers; public Map<String,Object> consumerConfigs() { Map<String,Object> props = new HashMap<>(); props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG,bootstrapServers); props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class); props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG,StringDeserializer.class); props.put(ConsumerConfig.GROUP_ID_CONFIG,"helloword"); return props; } @Bean public ConsumerFactory<String,String> consumerFactory() { return new DefaultKafkaConsumerFactory<>(consumerConfigs()); } @Bean public ConcurrentKafkaListenerContainerFactory<String,String> kafkaListenerContainerFactory() { ConcurrentKafkaListenerContainerFactory<String,String> factory = new ConcurrentKafkaListenerContainerFactory<>(); factory.setConsumerFactory(consumerFactory()); return factory; } @Bean public Receiver receiver() { return new Receiver(); }}

消息接受类

package com.dhb.kafka.consumer;import lombok.extern.slf4j.Slf4j;import org.springframework.kafka.annotation.KafkaListener;import java.util.concurrent.CountDownLatch;@Slf4jpublic class Receiver { private CountDownLatch latch = new CountDownLatch(1); public CountDownLatch getLatch() { return latch; } @KafkaListener(topics = "${kafka.topic.helloworld}") public void receive(String payload) { log.info("received payload='{}'",payload); latch.countDown(); }}

3.web测试类

定义了一个基于http的web测试接口

package com.dhb.kafka.web;import com.dhb.kafka.producer.Sender;import lombok.extern.slf4j.Slf4j;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.RestController;import javax.servlet.http.HttpServletRequest;import javax.servlet.http.HttpServletResponse;import java.io.IOException;@RestController@Slf4jpublic class KafkaProducer { @Autowired Sender sender; @RequestMapping(value = "/sender.action", method = RequestMethod.POST) public void exec(HttpServletRequest request, HttpServletResponse response,String data) throws IOException{ this.sender.send("testtopic",data); response.setCharacterEncoding("UTF-8"); response.setContentType("text/json"); response.getWriter().write("success"); response.getWriter().flush(); response.getWriter().close(); }}

4.启动类及配置

package com.dhb.kafka;import org.springframework.boot.SpringApplication;import org.springframework.boot.autoconfigure.SpringBootApplication;@SpringBootApplicationpublic class KafkaApplication { public static void main(String[] args) { SpringApplication.run(KafkaApplication.class,args); }}

application.yml

kafka: bootstrap-servers: 192.168.162.239:9092 topic: helloworld: testtopic

程序结构：

包结构

5.读写测试

通过执行KafkaApplication的main方法启动程序。然后打开postman进行测试：

运行后返回success

生产者日志：

消费者日志：

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。