I'm not being able to reproduce documentation or sample code in order to have a non String
Key being serialized.
My goal is using the Key (field) to pass control actions alongside data.
Classes ControlChannel
and SchedulerEntry
are regular Pojo.
Environment is:
- Java 11
- Spring Boot 2.4.1
- Kafka 2.6.0
Expected code to Serialize/Deserialize:
Listener and Template
@KafkaListener(topics = "Scheduler", groupId = "scheduler", containerFactory = "schedulerKafkaListenerContainerFactory")
public void listenForScheduler(
@Header(KafkaHeaders.RECEIVED_MESSAGE_KEY) ControlChannel control,
@Header(KafkaHeaders.RECEIVED_TIMESTAMP) long timestamp,
@Payload SchedulerEntry entry) {
log.info("received data KEY ='{}'", control);
log.info("received data PAYLOAD = '{}'", entry);
/* ... */
}
@Bean
public KafkaTemplate<ControlChannel, SchedulerEntry> schedulerKafkaTemplate() {
return new KafkaTemplate<>(schedulerProducerFactory());
}
**First Try - Consumer and Producer (Type Mapping and Trusted Packaged) **
@Bean
public ProducerFactory<ControlChannel, SchedulerEntry> schedulerProducerFactory() {
Map<String, Object> props = new HashMap<>();
props.put(JsonSerializer.ADD_TYPE_INFO_HEADERS, false);
props.put(JsonSerializer.TYPE_MAPPINGS, "key:io.infolayer.aida.ControlChannel, value:io.infolayer.aida.entity.SchedulerEntry");
props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapAddress);
props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, JsonSerializer.class);
return new DefaultKafkaProducerFactory<>(props,
new JsonSerializer<ControlChannel>(),
new JsonSerializer<SchedulerEntry>());
}
public ConsumerFactory<ControlChannel, SchedulerEntry> consumerFactory(String groupId) {
Map<String, Object> props = new HashMap<>();
props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapAddress);
props.put(ConsumerConfig.GROUP_ID_CONFIG, groupId);
props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, JsonDeserializer.class);
props.put(JsonDeserializer.REMOVE_TYPE_INFO_HEADERS, false);
props.put(JsonDeserializer.TRUSTED_PACKAGES, "*");
props.put(JsonDeserializer.TYPE_MAPPINGS, "key:io.infolayer.aida.ControlChannel, value:io.infolayer.aida.entity.SchedulerEntry");
JsonDeserializer<ControlChannel> k = new JsonDeserializer<ControlChannel>();
k.configure(props, true);
JsonDeserializer<SchedulerEntry> v = new JsonDeserializer<SchedulerEntry>();
k.configure(props, true);
return new DefaultKafkaConsumerFactory<>(props, k, v);
}
@Bean
public ConcurrentKafkaListenerContainerFactory<ControlChannel, SchedulerEntry> schedulerKafkaListenerContainerFactory() {
ConcurrentKafkaListenerContainerFactory<ControlChannel, SchedulerEntry> factory = new ConcurrentKafkaListenerContainerFactory<>();
factory.setConsumerFactory(consumerFactory("scheduler"));
return factory;
}
Exception:
Caused by: org.apache.kafka.common.errors.SerializationException: Error deserializing key/value for partition Scheduler-0 at offset 25. If needed, please seek past the record to continue consumption.
Caused by: java.lang.IllegalStateException: No type information in headers and no default type provided
**Second Try - Consumer and Producer (Just setting Key serializer/deserializer as Json) **
@Bean
public ProducerFactory<ControlChannel, SchedulerEntry> schedulerProducerFactory() {
Map<String, Object> props = new HashMap<>();
props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapAddress);
props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, JsonSerializer.class);
props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, JsonSerializer.class);
return new DefaultKafkaProducerFactory<>(props);
}
public ConsumerFactory<ControlChannel, SchedulerEntry> consumerFactory(String groupId) {
Map<String, Object> props = new HashMap<>();
props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapAddress);
props.put(ConsumerConfig.GROUP_ID_CONFIG, groupId);
props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, JsonDeserializer.class);
props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, JsonDeserializer.class);
return new DefaultKafkaConsumerFactory<>(props, new JsonDeserializer<>(ControlChannel.class), new JsonDeserializer<>(SchedulerEntry.class));
}
@Bean
public ConcurrentKafkaListenerContainerFactory<ControlChannel, SchedulerEntry> schedulerKafkaListenerContainerFactory() {
ConcurrentKafkaListenerContainerFactory<ControlChannel, SchedulerEntry> factory = new ConcurrentKafkaListenerContainerFactory<>();
factory.setConsumerFactory(consumerFactory("scheduler"));
return factory;
}
Exception
org.springframework.kafka.KafkaException: Seek to current after exception; nested exception is org.springframework.kafka.listener.ListenerExecutionFailedException:
Listener method 'public void io.infolayer.aida.scheduler.KafkaSchedulerListener.listenForScheduler(io.infolayer.aida.ControlChannel,long,io.infolayer.aida.entity.SchedulerEntry)'
threw exception; nested exception is org.springframework.core.convert.ConverterNotFoundException:
No converter found capable of converting from type [io.infolayer.aida.entity.SchedulerEntry] to type [@org.springframework.messaging.handler.annotation.Header io.infolayer.aida.ControlChannel]; nested exception is org.springframework.core.convert.ConverterNotFoundException:
No converter found capable of converting from type [io.infolayer.aida.entity.SchedulerEntry] to type [@org.springframework.messaging.handler.annotation.Header io.infolayer.aida.ControlChannel]