I'm new to Kafka and while trying a sample scenario where a Kafka Producer sends a user Details in JSON format to a Consumer. I've visited similar questions but I couldn't get the answer I needed.
I don't face any problem if I run any of the Producer or Consumer in a terminal and the other in spring boot. The error occurs, in infinite loop (when both producer and consumer are started from different spring boot projects):
Consumer exception
java.lang.IllegalStateException: This error handler cannot process 'SerializationException's directly; please consider configuring an 'ErrorHandlingDeserializer' in the value and/or key deserializer
at org.springframework.kafka.listener.SeekUtils.seekOrRecover(SeekUtils.java:145) ~[spring-kafka-2.6.7.jar:2.6.7]
at org.springframework.kafka.listener.SeekToCurrentErrorHandler.handle(SeekToCurrentErrorHandler.java:113) ~[spring-kafka-2.6.7.jar:2.6.7]
at org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer.handleConsumerException(KafkaMessageListenerContainer.java:1427) ~[spring-kafka-2.6.7.jar:2.6.7]
at org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer.run(KafkaMessageListenerContainer.java:1124) ~[spring-kafka-2.6.7.jar:2.6.7]
at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:515) ~[na:na]
at java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264) ~[na:na]
at java.base/java.lang.Thread.run(Thread.java:832) ~[na:na]
Caused by: org.apache.kafka.common.errors.SerializationException: Error deserializing key/value for partition Example3-0 at offset 0. If needed, please seek past the record to continue consumption.
Caused by: java.lang.IllegalArgumentException: The class 'edu.kafka.producer.model.User' is not in the trusted packages: [java.util, java.lang, edu.consumer.test.model, edu.consumer.test.model.*]. If you believe this class is safe to deserialize, please provide its name. If the serialization is only done by a trusted source, you can also enable trust all (*).
at org.springframework.kafka.support.converter.DefaultJackson2JavaTypeMapper.getClassIdType(DefaultJackson2JavaTypeMapper.java:126) ~[spring-kafka-2.6.7.jar:2.6.7]
at org.springframework.kafka.support.converter.DefaultJackson2JavaTypeMapper.toJavaType(DefaultJackson2JavaTypeMapper.java:100) ~[spring-kafka-2.6.7.jar:2.6.7]
at org.springframework.kafka.support.serializer.JsonDeserializer.deserialize(JsonDeserializer.java:504) ~[spring-kafka-2.6.7.jar:2.6.7]
at org.apache.kafka.clients.consumer.internals.Fetcher.parseRecord(Fetcher.java:1365) ~[kafka-clients-2.6.0.jar:na]
at org.apache.kafka.clients.consumer.internals.Fetcher.access$3400(Fetcher.java:130) ~[kafka-clients-2.6.0.jar:na]
at org.apache.kafka.clients.consumer.internals.Fetcher$CompletedFetch.fetchRecords(Fetcher.java:1596) ~[kafka-clients-2.6.0.jar:na]
at org.apache.kafka.clients.consumer.internals.Fetcher$CompletedFetch.access$1700(Fetcher.java:1432) ~[kafka-clients-2.6.0.jar:na]
at org.apache.kafka.clients.consumer.internals.Fetcher.fetchRecords(Fetcher.java:684) ~[kafka-clients-2.6.0.jar:na]
at org.apache.kafka.clients.consumer.internals.Fetcher.fetchedRecords(Fetcher.java:635) ~[kafka-clients-2.6.0.jar:na]
at org.apache.kafka.clients.consumer.KafkaConsumer.pollForFetches(KafkaConsumer.java:1283) ~[kafka-clients-2.6.0.jar:na]
at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:1237) ~[kafka-clients-2.6.0.jar:na]
at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:1210) ~[kafka-clients-2.6.0.jar:na]
at org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer.doPoll(KafkaMessageListenerContainer.java:1271) ~[spring-kafka-2.6.7.jar:2.6.7]
at org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer.pollAndInvoke(KafkaMessageListenerContainer.java:1162) ~[spring-kafka-2.6.7.jar:2.6.7]
at org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer.run(KafkaMessageListenerContainer.java:1075) ~[spring-kafka-2.6.7.jar:2.6.7]
at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:515) ~[na:na]
at java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264) ~[na:na]
at java.base/java.lang.Thread.run(Thread.java:832) ~[na:na]
I've mentioned the, deserialization and trusted packages in consumer configuration, below:
@EnableKafka
@Configuration
public class TestConfig {
@Bean
public ConsumerFactory<String, User> consumerFactory() {
Map<String, Object> config = new HashMap<>();
config.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "127.0.0.1:9092");
config.put(ConsumerConfig.GROUP_ID_CONFIG, "group_json");
config.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
config.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, JsonDeserializer.class);
config.put(ErrorHandlingDeserializer.KEY_DESERIALIZER_CLASS, StringDeserializer.class);
config.put(ErrorHandlingDeserializer.VALUE_DESERIALIZER_CLASS, JsonDeserializer.class);
config.put(JsonDeserializer.TRUSTED_PACKAGES, "edu.kafka.producer.model.User, java.util, java.lang, edu.consumer.test.model, edu.consumer.test.model.*" );
return new DefaultKafkaConsumerFactory<String, User>(config, new StringDeserializer(), new JsonDeserializer<>(User.class));
}
@Bean
public ConcurrentKafkaListenerContainerFactory<String, User> kafkaLister() {
ConcurrentKafkaListenerContainerFactory<String, User> factory = new ConcurrentKafkaListenerContainerFactory<>();
factory.setConsumerFactory(consumerFactory());
return factory;
}
}
I believe I'm missing something in configurations. I wanted to print the receiving message from Kafka into my Spring Boot console (I understand printing in console isn't recommended, this is a practice project), Below is the listener for consumer:
@Service
public class TestListener {
@KafkaListener(topics = "Example3", groupId = "group_json", containerFactory = "kafkaLister")
public void post(User user) {
System.out.println("Consumed Message: " + user);
}
}
The JSON I'm trying to consume:
{"name":"qaz","dept":"Aero"}
Spring version: 2.4.4
Kafka version (according to console): 2.6.7
Thank you so much in advance.