Kafka stream : Is there a way to ignore specific offsets in a topic partition while writing to another topic - apache-kafka

Question

Background: i used wrong avro schema registry while producing to prod topic and as a result the kafka connect went down because of the messages with wrong schema id.So as a recovery plan we wanted to copy the messages in the prod topic to a test topic and then write the good messages to the hdfs.But we are facing issues with certain offsets that have wrong schema id while reading from prod topic.Is there a way to ignore such offsets while writing to another topic.
Exception in thread "StreamThread-1"
org.apache.kafka.streams.errors.StreamsException: Failed to deserialize value
for record. topic=xxxx, partition=9, offset=1259032
Caused by: org.apache.kafka.common.errors.SerializationException: Error
retrieving Avro schema for id 600
Caused by:
io.confluent.kafka.schemaregistry.client.rest.exceptions.RestClientException:
Schema not found io.confluent.rest.exceptions.RestNotFoundException: Schema not found
io.confluent.rest.exceptions.RestNotFoundException: Schema not found
{code}

Answer 1

You can change the deserialization exception handler to skip over those record as describe in the docs: https://docs.confluent.io/current/streams/faq.html#handling-corrupted-records-and-deserialization-errors-poison-pill-records
Ie, you set LogAndContinueExceptionHandler in the config via parameter default.deserialization.exception.handler.