Spring Kafka是Spring框架对Kafka消息队列的集成,提供了简单的API来使用Kafka。在Spring应用中使用Kafka,需要首先在pom.xml文件中添加Spring Kafka的依赖:
<dependency>
<groupId>org.springframework.kafka</groupId>
<artifactId>spring-kafka</artifactId>
</dependency>
然后在Spring配置文件中配置Kafka的连接信息和消费者/生产者的配置。例如:
@Configuration
@EnableKafka
public class KafkaConfig {
@Value("${kafka.bootstrap-servers}")
private String bootstrapServers;
@Bean
public ProducerFactory<String, String> producerFactory() {
Map<String, Object> configProps = new HashMap<>();
configProps.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
configProps.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
configProps.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
return new DefaultKafkaProducerFactory<>(configProps);
}
@Bean
public KafkaTemplate<String, String> kafkaTemplate() {
return new KafkaTemplate<>(producerFactory());
}
@Bean
public ConsumerFactory<String, String> consumerFactory() {
Map<String, Object> configProps = new HashMap<>();
configProps.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
configProps.put(ConsumerConfig.GROUP_ID_CONFIG, "group-id");
configProps.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
configProps.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
return new DefaultKafkaConsumerFactory<>(configProps);
}
@Bean
public ConcurrentKafkaListenerContainerFactory<String, String> kafkaListenerContainerFactory() {
ConcurrentKafkaListenerContainerFactory<String, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
factory.setConsumerFactory(consumerFactory());
return factory;
}
}
接下来可以在Spring应用中定义Kafka生产者和消费者,使用KafkaTemplate
发送消息或者使用@KafkaListener
注解监听消息。例如:
@Service
public class KafkaProducer {
@Autowired
private KafkaTemplate<String, String> kafkaTemplate;
public void sendMessage(String topic, String message) {
kafkaTemplate.send(topic, message);
}
}
@Service
public class KafkaConsumer {
@KafkaListener(topics = "test-topic", groupId = "group-id")
public void listen(String message) {
System.out.println("Received message: " + message);
}
}
通过以上配置和代码,就可以在Spring应用中使用Kafka进行消息的发送和接收。需要注意的是,Kafka的配置和使用方式可能会因版本而有所不同,建议查阅官方文档以获取最新信息。
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