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Element metadata in windowed value for offset deduplication #35739
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Element metadata in windowed value for offset deduplication #35739
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…as part of offset deduplication
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Summary of Changes
Hello @stankiewicz, 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!
I've implemented a significant enhancement to how metadata is handled within Beam's data processing model, particularly focusing on KafkaIO. The core idea is to expose element-specific metadata, such as Kafka offsets, directly within the WindowedValue structure. This change allows users to perform operations like parsing or filtering on Kafka records before offset-based deduplication, even if they choose to bypass the redistribution step. This provides greater flexibility and efficiency for certain data processing patterns, especially for Dataflow runner v1. The changes involve introducing a new ElementMetadata class, plumbing this metadata through the DoFn and ProcessContext interfaces, and updating KafkaIO to attach relevant offset details, which are then consumed by the WindmillSink for deduplication.
Highlights
- New ElementMetadata Class: I've introduced a new
ElementMetadataclass to encapsulate record-specific details like ID and offset, which can now be attached toWindowedValueinstances. - WindowedValue Enhancement: The
WindowedValuestructure has been updated to include this newElementMetadata, allowing for richer context to be carried alongside data elements. - Metadata Propagation: I've plumbed the
ElementMetadatathroughDoFnandProcessContextinterfaces and their implementations across various runners and SDK components, ensuring this metadata is accessible throughout the pipeline execution. - KafkaIO Integration for Offset Deduplication: For KafkaIO, I've added the capability to extract Kafka record offsets and topic/partition information and attach them as
ElementMetadatato theWindowedValue. This enables offset-based deduplication to function even when redistribution is skipped. - WindmillSink Utilization: The
WindmillSinkin the Dataflow runner has been updated to consume and utilize this newElementMetadatafor its offset-based deduplication logic, leveraging the propagated Kafka offset details. - Flexible KafkaIO Deduplication: Users can now opt to skip the
withRedistribute()step in KafkaIO while still benefiting from offset deduplication, though a warning is logged about potential data loss if elements are mutated or aggregated without redistribution.
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Code Review
This pull request introduces ElementMetadata to WindowedValue to support offset-based deduplication in KafkaIO without forcing redistribution. The changes are extensive, touching many core components to plumb the new metadata through the system. Overall, the approach is sound, but I've identified a few critical issues, including potential null pointer exceptions and an incomplete method implementation that could lead to data loss. I've also noted some opportunities to reduce code duplication and improve an error message for better maintainability and clarity.
...dataflow-java/worker/src/main/java/org/apache/beam/runners/dataflow/worker/WindmillSink.java
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...dataflow-java/worker/src/main/java/org/apache/beam/runners/dataflow/worker/WindmillSink.java
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sdks/java/harness/src/main/java/org/apache/beam/fn/harness/FnApiDoFnRunner.java
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...n/java/org/apache/beam/runners/core/OutputAndTimeBoundedSplittableProcessElementInvoker.java
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...n/java/org/apache/beam/runners/core/OutputAndTimeBoundedSplittableProcessElementInvoker.java
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sdks/java/core/src/main/java/org/apache/beam/sdk/transforms/DoFnTester.java
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sdks/java/io/kafka/src/main/java/org/apache/beam/sdk/io/kafka/KafkaIO.java
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Assigning reviewers: R: @m-trieu for label java. Note: If you would like to opt out of this review, comment Available commands:
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r: @kennknowles |
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r: @sjvanrossum for kafka |
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Stopping reviewer notifications for this pull request: review requested by someone other than the bot, ceding control. If you'd like to restart, comment |
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When I do finish the |
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Run Java PreCommit |
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Run Java_GCP_IO_Direct PreCommit |
kennknowles
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LGTM, thanks for kicking the tests until they are green
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thanks, could we merge it? |
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Just checking - this is not preserved through the windowed value coder yet. |
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That is correct, this is something I'm working now for v1 |
Currently offset deduplication is hidden in KafkaIO by forcing redistribute.
If user wants to do any kind of parsing, filtering or data size reduction, they can't benefit from it.
This changes:
Limitations:
@kennknowles
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