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：
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运行后返回success
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生产者日志：
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消费者日志：
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作者：冬天里的懒喵
链接：https://www.jianshu.com/p/3dcb64e49ac5