springboot通过配置区分并集成rocketmq还是kafka

Spring Boot 提供了对 Kafka 和 RocketMQ 的自动配置支持，可以通过简单的配置来集成它们。如果你想区分并集成 Kafka 和 RocketMQ，你需要按照以下步骤进行：

1. 添加 Kafka 和 RocketMQ 的依赖项：

<dependency>
    <groupId>org.springframework.kafka</groupId>
    <artifactId>spring-kafka</artifactId>
    <version>2.3.7.RELEASE</version>
</dependency>

<dependency>
    <groupId>org.apache.rocketmq</groupId>
    <artifactId>rocketmq-spring-boot-starter</artifactId>
    <version>2.0.3</version>
</dependency>

2. 配置 Kafka：

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

3. 配置 RocketMQ：

spring:
  rocketmq:
    name-server: localhost:9876
    producer:
      group: my-group
      retry-times-when-send-failed: 3
      send-msg-timeout: 3000
    consumer:
      group: my-group
      max-reconsume-times: 3

4. 创建 Kafka 和 RocketMQ 的 Producer 和 Consumer：

@Configuration
public class KafkaConfig {

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

    @Bean
    public ProducerFactory<String, String> producerFactory() {
        Map<String, Object> props = new HashMap<>();
        props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
        props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
        props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
        return new DefaultKafkaProducerFactory<>(props);
    }

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

    @Bean
    public ConsumerFactory<String, String> consumerFactory() {
        Map<String, Object> props = new HashMap<>();
        props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
        props.put(ConsumerConfig.GROUP_ID_CONFIG, "my-group");
        props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
        props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
        props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
        return new DefaultKafkaConsumerFactory<>(props);
    }

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

@Configuration
public class RocketMQConfig {

    @Value("${spring.rocketmq.name-server}")
    private String nameServer;

    @Bean
    public RocketMQTemplate rocketMQTemplate() {
        RocketMQTemplate rocketMQTemplate = new RocketMQTemplate();
        rocketMQTemplate.setProducer(new DefaultMQProducer("my-group"));
        rocketMQTemplate.setDefaultTopic("my-topic");
        rocketMQTemplate.setSendTimeout(3000);
        return rocketMQTemplate;
    }

    @Bean
    public DefaultMQPushConsumer defaultMQPushConsumer() throws MQClientException {
        DefaultMQPushConsumer consumer = new DefaultMQPushConsumer("my-group");
        consumer.setNamesrvAddr(nameServer);
        consumer.subscribe("my-topic", "*");
        consumer.setMaxReconsumeTimes(3);
        return consumer;
    }
}

这样，你就能够区分并集成 Kafka 和 RocketMQ 了。在需要使用 Kafka 或 RocketMQ 的地方，可以注入相应的 Producer 和 Consumer，并使用它们来发送和接收消息。