我将Spring Kafka监听器初始化为
UILabel
并用作
@Bean
public Map<String, Object> consumerConfig() {
final HashMap<String, Object> result = new HashMap<>();
result.put(BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
result.put(GROUP_ID_CONFIG, groupId);
result.put(KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
result.put(VALUE_DESERIALIZER_CLASS_CONFIG, MyKafkaJacksonRulesExecutionResultsDeserializer.class);
return result;
}
@Bean
public ConsumerFactory<Long, MessageResult> consumerFactory() {
return new DefaultKafkaConsumerFactory<>(consumerConfig());
}
@Bean
public ConcurrentKafkaListenerContainerFactory<Long, MessageResult> kafkaListenerContainerFactory() {
ConcurrentKafkaListenerContainerFactory<Long, MessageResult> containerFactory = new ConcurrentKafkaListenerContainerFactory<>();
containerFactory.setConsumerFactory(consumerFactory());
containerFactory.setConcurrency(KAFKA_LISTENER_THREADS_COUNT);
containerFactory.getContainerProperties().setPollTimeout(KAFKA_LISTENER_POLL_TIMEOUT);
containerFactory.getContainerProperties().setAckOnError(true);
containerFactory.getContainerProperties().setAckMode(RECORD);
return containerFactory;
}
如何让kafka监听器在出错时提交?
答案 0 :(得分:2)
我为反序列化器创建了一个抛出异常的子类。然后我在我的配置中使用它作为反序列化器。然后,您的处理器必须处理空对象。
public class MyErrorHandlingDeserializer extends ExceptionThrowingDeserializer {
@Override
public Object deserialize(String topic, byte[] data) {
try {
return super.deserialize(topic, data);
} catch (Exception e) {
log.error("Problem deserializing data " + new String(data) + " on topic " + topic, e);
return null;
}
}
}
答案 1 :(得分:0)
您可以将org.springframework.kafka.support.serializer.ErrorHandlingDeserializer2
用作使用者配置中的值反序列化器。这使您有机会优雅地处理反序列化错误,并允许您提交使用者记录。使用情况和更多详细信息,请访问https://docs.spring.io/spring-kafka/reference/html/#error-handling-deserializer