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Fixes #19711

This PR addresses the issue where step_id (instruction ID) was consistently missing or empty in worker logs generated during the DoFn.setup() lifecycle method.

Rationale

The FnApiLogRecordHandler relies on statesampler thread-local storage to populate the instruction_id in log entries. Previously, the BundleProcessor executed the setup() method for operations before the thread-local context was fully initialized for that instruction, causing logs emitted during setup to become orphaned (missing metadata).

Changes

  1. sdks/python/apache_beam/runners/worker/sdk_worker.py: Updated create_bundle_processor to pass the active instruction_id into the BundleProcessor constructor.
  2. sdks/python/apache_beam/runners/worker/bundle_processor.py:
    • Updated __init__ to accept instruction_id.
    • Added logic to manually inject the instruction_id into the statesampler context specifically while iterating through operations to call op.setup().
  3. sdks/python/apache_beam/runners/worker/log_handler.py: Updated emit() to check record.instruction_id before falling back to thread-local storage, ensuring explicitly injected IDs are respected.

Verification

I verified this fix locally using a reproduction script which forces a log during setup().

  • Before fix: Logs during setup() had instruction_id: None.
  • After fix: Logs during setup() correctly display the instruction_id (e.g., bundle_...).

  • Mention the appropriate issue in your description (e.g. fixes #19711).
  • Update CHANGES.md with noteworthy changes.
  • If this contribution is large, please file an Apache Individual Contributor License Agreement.

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Summary of Changes

Hello @Tanishq1030, 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 resolves a critical logging issue in the Python SDK worker where step_id metadata was missing from logs emitted during the DoFn.setup() phase. By ensuring the instruction_id is correctly propagated and made available to the logging context during this early lifecycle method, the change significantly improves the debuggability and traceability of Beam pipelines, allowing developers to better understand the context of setup-related issues.

Highlights

  • Problem Resolution: Fixed an issue where the step_id (instruction ID) was consistently missing or empty in worker logs generated during the DoFn.setup() lifecycle method.
  • Root Cause Addressed: The FnApiLogRecordHandler previously failed to populate instruction_id because DoFn.setup() was executed before the statesampler thread-local context was fully initialized for the instruction.
  • BundleProcessor Enhancement: The BundleProcessor now accepts the active instruction_id during its creation and explicitly injects it into the statesampler context when calling op.setup().
  • Log Handler Priority: The FnApiLogRecordHandler's emit() method has been updated to prioritize an explicitly provided instruction_id on the log record before attempting to retrieve it from thread-local storage.
  • Verification: The fix was confirmed locally using a reproduction script, showing correct instruction_id in setup() logs post-fix.

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Assigning reviewers:

R: @claudevdm for label python.

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Dataflow Python SDK logging: step_id is always empty string

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