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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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