springboot + kafka

港控/mmm° 2022-05-28 08:51 47阅读 0赞

这片文章中我们来集成下常用的消息队列（MQ）kafka,至于消息队列的作用，在此不再赘述，参考前面的文章。

在该篇文章中我没有采用配置文件的形式（application-dev.properties）配置，而是手动编写的kafkaProduce和kafkaConsumer的配置，这样更灵活。

注：基于demo-springboot

1.打开pom.xml加入以下内容：

<dependency>
        <groupId>org.springframework.kafka</groupId>
        <artifactId>spring-kafka</artifactId>
        <version>2.1.4.RELEASE</version>
    </dependency>

以上为引入spring-kafka的最新依赖包

2.编写生产者的配置：kafkaProduceConfig

package com.example.demo.config;
    
    import com.google.common.collect.Maps;
    import org.apache.kafka.clients.producer.ProducerConfig;
    import org.apache.kafka.common.serialization.StringSerializer;
    import org.springframework.context.annotation.Bean;
    import org.springframework.context.annotation.Configuration;
    import org.springframework.kafka.annotation.EnableKafka;
    import org.springframework.kafka.core.DefaultKafkaProducerFactory;
    import org.springframework.kafka.core.KafkaTemplate;
    import org.springframework.kafka.core.ProducerFactory;
    
    import java.util.Map;
    
    /**
     * @author xiaofeng
     * @version V1.0
     * @title: KafkaProducerConfig.java
     * @package: com.example.demo.config
     * @description: kafka生产者配置
     * @date 2018/4/2 0002 下午 3:49
     */
    @Configuration
    @EnableKafka
    public class KafkaProducerConfig {
    
        public Map<String, Object> producerConfigs() {
            Map<String, Object> props = Maps.newHashMap();
            props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "10.0.2.22:9092");
            props.put(ProducerConfig.RETRIES_CONFIG, 0);
            props.put(ProducerConfig.BATCH_SIZE_CONFIG, 4096);
            props.put(ProducerConfig.LINGER_MS_CONFIG, 1);
            props.put(ProducerConfig.BUFFER_MEMORY_CONFIG, 40960);
            props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
            props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
            return props;
        }
    
        public ProducerFactory<String, String> producerFactory() {
            return new DefaultKafkaProducerFactory<>(producerConfigs());
        }
    
        @Bean
        public KafkaTemplate<String, String> kafkaTemplate() {
            return new KafkaTemplate<String, String>(producerFactory());
        }
    }

3.编写消费者的配置：kafkaConsumerConfig

package com.example.demo.config;
    
    import com.google.common.collect.Maps;
    import org.apache.kafka.clients.consumer.ConsumerConfig;
    import org.apache.kafka.common.serialization.StringDeserializer;
    import org.springframework.boot.autoconfigure.kafka.KafkaProperties;
    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.config.KafkaListenerContainerFactory;
    import org.springframework.kafka.core.ConsumerFactory;
    import org.springframework.kafka.core.DefaultKafkaConsumerFactory;
    import org.springframework.kafka.listener.ConcurrentMessageListenerContainer;
    
    import java.util.Map;
    
    /**
      * @author xiaofeng
      * @version V1.0
      * @title: KafkaConfiguration.java
      * @package: com.example.demo.config
      * @description: kafka消费者配置
      * @date 2018/4/2 0002 下午 3:42
      */
    @Configuration
    @EnableKafka
    public class KafkaConsumerConfig {
        @Bean
        public KafkaListenerContainerFactory<ConcurrentMessageListenerContainer<String, String>> kafkaListenerContainerFactory() {
            ConcurrentKafkaListenerContainerFactory<String, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
            factory.setConsumerFactory(consumerFactory());
            factory.setConcurrency(3);
            factory.getContainerProperties().setPollTimeout(3000);
            return factory;
        }
    
        public ConsumerFactory<String, String> consumerFactory() {
            return new DefaultKafkaConsumerFactory<>(consumerConfigs());
        }
    
    
        public Map<String, Object> consumerConfigs() {
            Map<String, Object> propsMap = Maps.newHashMap();
            propsMap.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "10.0.2.22:9092");
            propsMap.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, false);
            propsMap.put(ConsumerConfig.AUTO_COMMIT_INTERVAL_MS_CONFIG, "100");
            propsMap.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, "15000");
            propsMap.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
            propsMap.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
            propsMap.put(ConsumerConfig.GROUP_ID_CONFIG, "test-group");
            propsMap.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "latest");
            return propsMap;
        }
    
        @Bean
        public KafkaProperties.Listener listener() {
            return new KafkaProperties.Listener();
        }
    
    }

以上为kafka生产者和消费者的相关配置，至于各个配置选项我并没有做详细的解释，相关童鞋可以自行查询。

4.编写生产者

package com.example.demo.kafka.sender;
    
    import org.springframework.beans.factory.annotation.Autowired;
    import org.springframework.beans.factory.annotation.Value;
    import org.springframework.kafka.core.KafkaTemplate;
    import org.springframework.stereotype.Component;
    /**
      * @author xiaofeng
      * @version V1.0
      * @title: TestKafkaSender.java
      * @package: com.example.demo.kafka.sender
      * @description: kafka生产者
      * @date 2018/4/2 0002 下午 3:31
      */
    @Component
    public class TestKafkaSender {
        @Autowired
        private KafkaTemplate kafkaTemplate;
    
        @Value("${kafka.test.topic}")
        String testTopic;
    
        public void sendTest(String msg){
            kafkaTemplate.send(testTopic, msg);
        }
    }

5.编写消费者

package com.example.demo.kafka.consumer;
    
    import org.slf4j.Logger;
    import org.slf4j.LoggerFactory;
    import org.springframework.kafka.annotation.KafkaListener;
    import org.springframework.stereotype.Component;
    
    /**
     * @author xiaofeng
     * @version V1.0
     * @title: FollowHisOrderConsumer.java
     * @package: com.example.demo.kafka.consumer
     * @description: kafka消费者
     * @date 2018/4/2 0002 下午 3:31
     */
    @Component
    public class TestKafkaConsumer {
    
        Logger logger = LoggerFactory.getLogger(getClass());
    
        @KafkaListener(topics = {"${kafka.test.topic}"})
        public void consumer(String message) {
            logger.info(" message = " + message);
            System.out.printf("message=" + message);
        }
    
    }

最后我们就可以开始测试了，编写单元测试类：

![70][]

接下来自己去控制台查看消费者是否已经接收到了相关数据吧！（不知道你有没有收到，反正我是收到了^\_^）

[70]: /images/20220528/3d262a981b684de590810871bca62c08.png