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。

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;

@Configuration
public 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;

@Slf4j
public 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
@EnableKafka
public 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;

@Slf4j
public 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
@Slf4j
public 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;

@SpringBootApplication
public 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：

Paste_Image.png

运行后返回success

Paste_Image.png

生产者日志：

Paste_Image.png

消费者日志：

Paste_Image.png
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