This question is for Spring Kafka, related to Apache Kafka with High Level Consumer: Skip corrupted messages
Is there a way to configure Spring Kafka consumer to ski
You need ErrorHandlingDeserializer
: https://docs.spring.io/spring-kafka/docs/2.2.0.RELEASE/reference/html/_reference.html#error-handling-deserializer
If you can't move to that 2.2
version, consider to implement your own and return null
for those records which can't be deserialized properly.
The source code is here: https://github.com/spring-projects/spring-kafka/blob/master/spring-kafka/src/main/java/org/springframework/kafka/support/serializer/ErrorHandlingDeserializer2.java
In case you are using older version of kafka, in a @KafkaListener set the following Consumer factory configurations.
Map<String, Object> props = new HashMap<>();
props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, CustomDeserializer.class);
Here is the code for CustomDeserializer:
import java.util.Map;
import org.apache.kafka.common.serialization.Deserializer;
import com.fasterxml.jackson.databind.ObjectMapper;
public class CustomDeserializer implements Deserializer<Object>
{
@Override
public void configure( Map<String, ?> configs, boolean isKey )
{
}
@Override
public Object deserialize( String topic, byte[] data )
{
ObjectMapper mapper = new ObjectMapper();
Object object = null;
try
{
object = mapper.readValue(data, Object.class);
}
catch ( Exception exception )
{
System.out.println("Error in deserializing bytes " + exception);
}
return object;
}
@Override
public void close()
{
}
}
Since I want my code to be generic enough to read any kind of json, object = mapper.readValue(data, Object.class); I am converting it to Object.class. And as we are catching exception here, it won't be retried once read.