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Posted to issues@beam.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2020/08/19 11:11:00 UTC
[jira] [Work logged] (BEAM-10759) KafkaIO with Avro deserializer
fails with evolved schema
[ https://issues.apache.org/jira/browse/BEAM-10759?focusedWorklogId=472397&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-472397 ]
ASF GitHub Bot logged work on BEAM-10759:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 19/Aug/20 11:10
Start Date: 19/Aug/20 11:10
Worklog Time Spent: 10m
Work Description: dennisylyung opened a new pull request #12630:
URL: https://github.com/apache/beam/pull/12630
The existing ConfluentSchemaRegistryDeserializerProvider uses the writer schema to deserialize Avro records from Kafka, but passes a fixed schema to the AvroCoder. If the Kafka topic contains evolved schema, the AvroCoder will fail to encode the records.
This commit uses the deserialize(bytes, readerSchema) method from KafkaAvroDeserializer, in order to deserialize Kafak Avro records with a schema consistent with AvroCoder.
The change causes ConfluentSchemaRegistryDeserializerProviderTest to fail, due to an existing error. mockRegistryClient.register returns the schema id but not the schema version. With the changes in this commit, the mockRegistryClient will be called one more time, which in turns call mockRegistryClient.register(). This causes schema id and schema version to deviate. Therefore, the unit test is modified to correctly acquire the schema version.
I have ran local test on the java sdk, and spotless test. The modified logic has been tested on an actual pipeline with Dataflow Runner, which successfully read from a topic with evolved schema.
R: @chamikaramj @lukecwik @timrobertson100
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Issue Time Tracking
-------------------
Worklog Id: (was: 472397)
Remaining Estimate: 0h
Time Spent: 10m
> 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: 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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