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https://issues.apache.org/jira/browse/BEAM-10759?focusedWorklogId=490307&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-490307
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ASF GitHub Bot logged work on BEAM-10759:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 24/Sep/20 16:39
Start Date: 24/Sep/20 16:39
Worklog Time Spent: 10m
Work Description: dennisylyung commented on pull request #12630:
URL: https://github.com/apache/beam/pull/12630#issuecomment-698457493
@iemejia do you have time to review the updates?
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Issue Time Tracking
-------------------
Worklog Id: (was: 490307)
Time Spent: 1h 10m (was: 1h)
> 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
> Time Spent: 1h 10m
> 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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