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To prevent potential serialization issues, this change adds the @SchemaFieldNumber annotation to KafkaIO classes that use DefaultSchema. This guarantees a deterministic field order, which is not ensured when schemas are generated with AutoValueSchema, JavaBeanSchema, or JavaFieldSchema.

related to: #30276, b/443606305#comment29


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Summary of Changes

Hello @baeminbo, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request enhances the robustness of Apache Beam's KafkaIO component by ensuring that schemas generated for its internal classes maintain a deterministic field order. By explicitly defining the field numbering through annotations, the change mitigates potential serialization inconsistencies and improves the reliability of data processing with KafkaIO. Additionally, new tests have been added to validate these schema generations.

Highlights

  • Deterministic Schema Field Order: Introduced @SchemaFieldNumber annotations to various KafkaIO-related classes (ErrorHandling, KafkaIO.KafkaHeader, KafkaIO.ByteArrayKafkaRecord, KafkaReadSchemaTransformConfiguration, KafkaSourceDescriptor, KafkaWriteSchemaTransformConfiguration) to ensure a consistent field order when schemas are generated using DefaultSchema. This addresses potential serialization issues that can arise from non-deterministic field ordering in AutoValueSchema, JavaBeanSchema, or JavaFieldSchema.
  • Schema Verification Tests: Added new unit tests (testByteArrayKafkaRecordSchema, testKafkaSourceDescriptorSchema, testKafkaHeaderSchema, testKafkaReadSchemaTransformConfigurationSchema, testKafkaWriteSchemaTransformConfigurationSchema) to explicitly verify the correctness and deterministic nature of the generated schemas for the affected KafkaIO classes.
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Checks are failing. Will not request review until checks are succeeding. If you'd like to override that behavior, comment assign set of reviewers

…asses.

To prevent potential serialization issues, this change adds the `@SchemaFieldNumber` annotation to KafkaIO classes that use `DefaultSchema`. This guarantees a deterministic field order, which is not ensured when schemas are generated with `AutoValueSchema`, `JavaBeanSchema`, or `JavaFieldSchema`.
@baeminbo baeminbo force-pushed the kafkaio-schema-update branch from 61a18b5 to 15bb463 Compare September 29, 2025 04:14
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Run Java PreCommit

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Assigning reviewers:

R: @ahmedabu98 for label java.
R: @fozzie15 for label kafka.

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github-actions bot commented Oct 6, 2025

Reminder, please take a look at this pr: @ahmedabu98 @fozzie15

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github-actions bot commented Oct 8, 2025

Assigning new set of reviewers because Pr has gone too long without review. If you would like to opt out of this review, comment assign to next reviewer:

R: @Abacn for label java.
R: @johnjcasey for label kafka.

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Abacn commented Oct 8, 2025

@tomstepp @johnjcasey could take a look?

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tomstepp commented Oct 8, 2025

LGTM in general. Assuming pipelines are update compatible across this change? @baeminbo

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baeminbo commented Oct 8, 2025

LGTM in general. Assuming pipelines are update compatible across this change? @baeminbo

Yes, right. Currently, this issue can randomly corrupt the states persisted in storage with SchemaCoder at job update, thus the replacement job will encounter unrecoverable problems in deserializing the states from the original job.

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To clarify, it sounds like this does fix updates where the original pipeline includes this change. But I was not sure if it works with original pipeline on an SDK version before this change upgrading to newer SDK version with this change. Would the original order be incompatible with the new enforced order?

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@johnjcasey or @an2x would you have any additional feedback?

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LGTM

@reuvenlax reuvenlax merged commit d4438b6 into apache:master Oct 10, 2025
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