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Posted to issues@beam.apache.org by "Kenneth Knowles (Jira)" <ji...@apache.org> on 2020/08/19 05:41:00 UTC
[jira] [Updated] (BEAM-10759) KafkaIO with Avro deserializer fails
with evolved schema
[ https://issues.apache.org/jira/browse/BEAM-10759?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Kenneth Knowles updated BEAM-10759:
-----------------------------------
Status: Open (was: Triage Needed)
> KafkaIO with Avro deserializer fails with evolved schema
> --------------------------------------------------------
>
> Key: BEAM-10759
> URL: https://issues.apache.org/jira/browse/BEAM-10759
> Project: Beam
> Issue Type: Bug
> Components: io-java-kafka
> Affects Versions: 2.23.0
> Reporter: Dennis Yung
> Assignee: Dennis Yung
> Priority: P2
>
> When using KafkaIO with ConfluentSchemaRegistryDeserializerProvider, exception could be thrown when consuming a topic with evolved schema.
> It is because when the DeserializerProvider is initialized, it create a AvroCoder instance using either the latest Avro schema by default, or a specific version of provided.
> If the Kafka topic contains records with multiple schema versions, AvroCoder will fail to encode records with different schemas. The specific exception differs depending on the schema change. For example, I have encountered type cast error and null pointer error.
> To fix this issue, we can make use of the writer-reader schema arguments from Avro to deserialize Kafka records to the same schema with the AvroCoder. The method is available in io.confluent.kafka.serializers.KafkaAvroDeserializer
> {code:java}
> public Object deserialize(String s, byte[] bytes, Schema readerSchema) {
> return this.deserialize(bytes, readerSchema);
> }
> {code}
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