gemini-code-assist[bot] commented on PR #37307:
URL: https://github.com/apache/beam/pull/37307#issuecomment-3750205097

   ## Summary of Changes
   
   Hello @claudevdm, I'm Gemini Code Assist[^1]! 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 backports two previous changes (#37257 and #37294) into 
the `release-2.71` branch. The core purpose is to improve the Apache Beam 
BigQuery connector's handling of high-precision timestamps (nanoseconds and 
picoseconds) when using the Storage Write API. This involves ensuring that 
timestamp precision metadata is correctly preserved and translated between 
Avro, Beam Row, and BigQuery Storage API schemas, and validating this behavior 
with new tests.
   
   ### Highlights
   
   * **Enhanced BigQuery Storage Write API support for timestamp precision**: 
The changes ensure that timestamp precision (e.g., nanoseconds) is correctly 
propagated when converting Avro and Beam Row schemas to BigQuery Storage API 
protobuf schemas, particularly for repeated timestamp fields.
   * **Improved Avro schema generation for high-precision timestamps**: The 
`BigQueryAvroUtils` now explicitly handles TIMESTAMP fields with precision 
beyond microseconds, mapping them to a custom `timestamp-nanos` logical type in 
Avro to preserve fidelity.
   * **Added comprehensive tests for timestamp precision**: New unit and 
integration tests have been introduced to validate the correct handling of 
repeated timestamp-nanos fields and the end-to-end writing and reading of 
high-precision timestamps (including picoseconds) via the Storage Write API.
   
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