[Dataflow Streaming] Access state/timerinternals via StepContext#38991
[Dataflow Streaming] Access state/timerinternals via StepContext#38991arunpandianp wants to merge 2 commits into
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R: @scwhittle |
Summary of ChangesHello, 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 improves the safety of state and timer management in Dataflow streaming by decoupling DoFnRunners from direct references to state and timer internals. By requiring access through StepContext, the system ensures that components always retrieve the correct, active internals for the current key. Additionally, a defensive 'poisoning' mechanism was introduced to detect and prevent illegal stale access to these internals after the bundle processing is complete. Highlights
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Code Review
This pull request refactors LateDataDroppingDoFnRunner to accept StepContext instead of TimerInternals and introduces a mechanism to "poison" state and timer internals (WindmillStateInternals and WindmillTimerInternals) after flushState() to prevent stale usage. The review feedback suggests adding a defensive null check for stepContext in LateDataFilter and declaring the poisoned flags as volatile in both WindmillTimerInternals and WindmillStateInternals to ensure proper thread visibility.
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Change LateDataDroppingDoFnRunner to not use state and timer internals directly. The state/timerinternals change when keys change in a multi key bundle and it is not safe for DoFnRunners to cache them for the entire bundle.
Added a mechanism to poison WindmillStateInternals and WindmillTimerInternals which will help catch any such caching in future.
StatefulDoFnRunner also caches state and timer internals directly, but it is not used by dataflow, so I didn't include them in this change.