在springboot中对kafka进行读写

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。

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

        org.springframework.boot
        spring-boot-starter-parent
        1.5.4.RELEASE
    

    
        1.8
         1.2.2.RELEASE
        UTF-8
    

    
        
            org.springframework.boot
            spring-boot-starter-web
        
        
            org.springframework.boot
            spring-boot-starter
        
        
            org.springframework.boot
            spring-boot-starter-test
            test
        
        
            org.springframework.boot
            spring-boot-starter-aop
        
     
            
            org.springframework.kafka
            spring-kafka
            ${spring-kafka.version}
            
            
            org.springframework.kafka
            spring-kafka-test
            ${spring-kafka.version}
            test
            
     

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 producerConfigs() {
        Map 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 producerFactory() {        return  new DefaultKafkaProducerFactory<>(producerConfigs());
    }    @Bean
    public KafkaTemplate kafkaTemplate() {        return new KafkaTemplate(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 kafkaTemplate;    public void send(String topic,String payload) {
        log.info("sending payload='{}' to topic='{}'",payload,topic);        this.kafkaTemplate.send(topic,payload);
    }
}

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 consumerConfigs() {
        Map 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 consumerFactory() {        return new DefaultKafkaConsumerFactory<>(consumerConfigs());
    }    @Bean
    public ConcurrentKafkaListenerContainerFactory kafkaListenerContainerFactory() {
        ConcurrentKafkaListenerContainerFactory 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();
    }
}

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();
    }

}

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

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