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SpringBoot集成Kafka并使用多个死信队列详解

作者:慧一居士

这篇文章主要为大家详细介绍了SpringBoot集成Kafka并使用多个死信队列的示例代码,文中的示例代码讲解详细,感兴趣的小伙伴可以跟随小编一起学习一下

以下是Spring Boot集成Kafka并使用多个死信队列的完整示例,包含代码和配置说明。

1. 添加依赖 (pom.xml)

<dependencies>
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter</artifactId>
    </dependency>
    <dependency>
        <groupId>org.springframework.kafka</groupId>
        <artifactId>spring-kafka</artifactId>
    </dependency>
</dependencies>

2. 配置文件 (application.yml)

spring:
  kafka:
    bootstrap-servers: localhost:9092
    producer:
      key-serializer: org.apache.kafka.common.serialization.StringSerializer
      value-serializer: org.apache.kafka.common.serialization.StringSerializer
    consumer:
      group-id: my-group
      key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
      value-deserializer: org.apache.kafka.common.serialization.StringDeserializer
      auto-offset-reset: earliest

3. 自定义异常类

public class BusinessException extends RuntimeException {
    public BusinessException(String message) {
        super(message);
    }
}

4. Kafka配置类

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.annotation.EnableKafka;
import org.springframework.kafka.core.*;
import org.springframework.kafka.listener.CommonErrorHandler;
import org.springframework.kafka.listener.DefaultErrorHandler;
import org.springframework.util.backoff.FixedBackOff;

@Configuration
@EnableKafka
public class KafkaConfig {

    @Value("${spring.kafka.bootstrap-servers}")
    private String bootstrapServers;

    // Kafka生产者配置
    @Bean
    public ProducerFactory<String, String> producerFactory() {
        Map<String, Object> config = new HashMap<>();
        config.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
        config.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
        config.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
        return new DefaultKafkaProducerFactory<>(config);
    }

    @Bean
    public KafkaTemplate<String, String> kafkaTemplate() {
        return new KafkaTemplate<>(producerFactory());
    }

    // Kafka消费者配置
    @Bean
    public ConsumerFactory<String, String> consumerFactory() {
        Map<String, Object> config = new HashMap<>();
        config.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
        config.put(ConsumerConfig.GROUP_ID_CONFIG, "my-group");
        config.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
        return new DefaultKafkaConsumerFactory<>(config);
    }

    // 自定义错误处理器(支持多个死信队列)
    @Bean
    public CommonErrorHandler errorHandler(KafkaTemplate<String, String> kafkaTemplate) {
        // 重试策略:3次重试,间隔1秒
        FixedBackOff backOff = new FixedBackOff(1000L, 3);

        DefaultErrorHandler errorHandler = new DefaultErrorHandler((record, exception) -> {
            String dlqTopic = determineDlqTopic(exception);
            kafkaTemplate.send(dlqTopic, record.key(), record.value());
            System.out.println("消息发送到死信队列: " + dlqTopic);
        }, backOff);

        // 配置需要重试的异常类型
        errorHandler.addRetryableExceptions(BusinessException.class);
        errorHandler.addNotRetryableExceptions(SerializationException.class);

        return errorHandler;
    }

    // 根据异常类型选择死信队列
    private String determineDlqTopic(Throwable exception) {
        if (exception.getCause() instanceof SerializationException) {
            return "serialization-error-dlq";
        } else if (exception.getCause() instanceof BusinessException) {
            return "business-error-dlq";
        } else {
            return "general-error-dlq";
        }
    }

    @Bean
    public ConcurrentKafkaListenerContainerFactory<String, String> kafkaListenerContainerFactory() {
        ConcurrentKafkaListenerContainerFactory<String, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
        factory.setConsumerFactory(consumerFactory());
        factory.setCommonErrorHandler(errorHandler(kafkaTemplate()));
        return factory;
    }
}

5. Kafka消费者服务

import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.stereotype.Service;

@Service
public class KafkaConsumerService {

    @KafkaListener(topics = "main-topic")
    public void consume(String message) {
        try {
            if (message.contains("invalid-format")) {
                throw new SerializationException("消息格式错误");
            } else if (message.contains("business-error")) {
                throw new BusinessException("业务处理失败");
            }
            System.out.println("成功处理消息: " + message);
        } catch (Exception e) {
            throw new RuntimeException(e);
        }
    }
}

6. 启动类

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);
    }
}

7. 测试步骤

1.创建Kafka主题:

kafka-topics --create --bootstrap-server localhost:9092 --topic main-topic
kafka-topics --create --bootstrap-server localhost:9092 --topic serialization-error-dlq
kafka-topics --create --bootstrap-server localhost:9092 --topic business-error-dlq
kafka-topics --create --bootstrap-server localhost:9092 --topic general-error-dlq

2.发送测试消息:

@Autowired
private KafkaTemplate<String, String> kafkaTemplate;

public void sendTestMessages() {
    kafkaTemplate.send("main-topic", "valid-message");
    kafkaTemplate.send("main-topic", "invalid-format");
    kafkaTemplate.send("main-topic", "business-error");
}

3.观察死信队列:

关键点说明

错误路由逻辑:通过determineDlqTopic方法根据异常类型选择不同的死信队列。

重试机制:通过FixedBackOff配置重试策略(最多重试3次,间隔1秒)。

异常分类:

到此这篇关于SpringBoot集成Kafka并使用多个死信队列详解的文章就介绍到这了,更多相关SpringBoot Kafka使用死信队列内容请搜索脚本之家以前的文章或继续浏览下面的相关文章希望大家以后多多支持脚本之家!

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