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在springboot中對kafka進行讀寫的示例代碼

發布時間：2020-10-17 14:40:58 來源：腳本之家 閱讀：257 作者：冬天里的懶喵 欄目：編程語言

springboot對kafka的client很好的實現了集成，使用非常方便，本文也實現了一個在springboot中實現操作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.生產者

參數配置類，其參數卸載yml文件中，通過@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();
  }
}

消息發送類

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.消費者

參數配置類

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();
  }

}

消息接受類

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測試類

定義了一個基于http的web測試接口

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.啟動類及配置

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

程序結構：

在springboot中對kafka進行讀寫的示例代碼

包結構

5.讀寫測試

通過執行KafkaApplication的main方法啟動程序。然后打開postman進行測試：

在springboot中對kafka進行讀寫的示例代碼

運行后返回success

在springboot中對kafka進行讀寫的示例代碼

生產者日志：

在springboot中對kafka進行讀寫的示例代碼

消費者日志：

在springboot中對kafka進行讀寫的示例代碼

以上就是本文的全部內容，希望對大家的學習有所幫助，也希望大家多多支持億速云。

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