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Posted to issues@beam.apache.org by "Robin Qiu (Jira)" <ji...@apache.org> on 2020/09/23 23:29:00 UTC
[jira] [Commented] (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:comment-tabpanel&focusedCommentId=17201163#comment-17201163 ]
Robin Qiu commented on BEAM-10759:
----------------------------------
Hi, Beam 2.25.0 will be cut shortly and it seems this issue will not make to it (associated PR is still pending review). So I will remove the fixed version label. Please let me know if you believe this should be a release blocker for 2.25.0
> 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
> Fix For: 2.25.0
>
> Time Spent: 1h
> Remaining Estimate: 0h
>
> 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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