我可以请与社区联系,了解收听多个主题的最佳方式是什么,每个主题都包含不同课程的消息?
在过去的几天里,我一直在玩Spring Kafka。到目前为止我的思考过程:
因为在初始化KafkaListenerContainerFactory时需要将反序列化器传递给DefaultKafkaConsumerFactory。这似乎表明,如果我需要多个容器,每个反序列化一个不同类型的消息,我将无法使用@EnableKafka和@KafkaListener注释。
这让我认为唯一的方法是实例化多个KafkaMessageListenerContainers。
鉴于KafkaMessageListenerContainers是单线程的,我需要同时监听多个主题,我真的应该使用多个ConcurrentKafkaMessageListenerContainers。
我会在这里走上正轨吗?有更好的方法吗?
谢谢!
答案 0 :(得分:9)
这是一个非常简单的例子。
// -----------------------------------------------
// Sender
// -----------------------------------------------
@Configuration
public class SenderConfig {
@Bean
public Map<String, Object> producerConfigs() {
Map<String, Object> props = new HashMap<>();
......
props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, JsonSerializer.class);
return props;
}
@Bean
public ProducerFactory<String, Class1> producerFactory1() {
return new DefaultKafkaProducerFactory<String, Class1>(producerConfigs());
}
@Bean
public KafkaTemplate<String, Class1> kafkaTemplate1() {
return new KafkaTemplate<>(producerFactory1());
}
@Bean
public Sender1 sender1() {
return new Sender1();
}
//-------- send the second class --------
@Bean
public ProducerFactory<String, Class2> producerFactory2() {
return new DefaultKafkaProducerFactory<String, Class2>(producerConfigs());
}
@Bean
public KafkaTemplate<String, Class2> kafkaTemplate2() {
return new KafkaTemplate<>(producerFactory2());
}
@Bean
public Sender2 sender2() {
return new Sender2();
}
}
public class Sender1 {
@Autowired
private KafkaTemplate<String, Class1> kafkaTemplate1;
public void send(String topic, Class1 c1) {
kafkaTemplate1.send(topic, c1);
}
}
public class Sender2 {
@Autowired
private KafkaTemplate<String, Class2> kafkaTemplate2;
public void send(String topic, Class2 c2) {
kafkaTemplate2.send(topic, c2);
}
}
// -----------------------------------------------
// Receiver
// -----------------------------------------------
@Configuration
@EnableKafka
public class ReceiverConfig {
@Bean
public Map<String, Object> consumerConfigs() {
Map<String, Object> props = new HashMap<>();
......
props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, JsonDeserializer.class);
return props;
}
@Bean
public ConsumerFactory<String, Class1> consumerFactory1() {
return new DefaultKafkaConsumerFactory<>(consumerConfigs(), new StringDeserializer(),
new JsonDeserializer<>(Class1.class));
}
@Bean
public ConcurrentKafkaListenerContainerFactory<String, Class1> kafkaListenerContainerFactory1() {
ConcurrentKafkaListenerContainerFactory<String, Class1> factory =
new ConcurrentKafkaListenerContainerFactory<>();
factory.setConsumerFactory(consumerFactory1());
return factory;
}
@Bean
public Receiver1 receiver1() {
return new Receiver1();
}
//-------- add the second listener
@Bean
public ConsumerFactory<String, Class2> consumerFactory2() {
return new DefaultKafkaConsumerFactory<>(consumerConfigs(), new StringDeserializer(),
new JsonDeserializer<>(Class2.class));
}
@Bean
public ConcurrentKafkaListenerContainerFactory<String, Class2> kafkaListenerContainerFactory2() {
ConcurrentKafkaListenerContainerFactory<String, Class2> factory =
new ConcurrentKafkaListenerContainerFactory<>();
factory.setConsumerFactory(consumerFactory2());
return factory;
}
@Bean
public Receiver2 receiver2() {
return new Receiver2();
}
}
public class Receiver1 {
@KafkaListener(id="listener1", topics = "topic1", containerFactory = "kafkaListenerContainerFactory1")
public void receive(Class1 c1) {
LOGGER.info("Received c1");
}
}
public class Receiver2 {
@KafkaListener(id="listener2", topics = "topic2", containerFactory = "kafkaListenerContainerFactory2")
public void receive(Class2 c2) {
LOGGER.info("Received c2");
}
}
答案 1 :(得分:4)
您可以使用注释,您只需要为每个注释使用不同的侦听器容器工厂。
框架将为每个注释创建一个侦听器容器。
您还可以在单线程容器上侦听多个主题,但它们将在单个线程上进行处理。
查看code from my SpringOne Platform talk last year - 您可能需要查看app6,其中显示了如何使用MessageConverter
代替反序列化器,这可能有助于简化配置。
答案 2 :(得分:0)
我想使用下面的代码来应用您的看法
SELECT id::text
FROM contacts
ORDER BY contacts.id;