gemini-code-assist[bot] commented on PR #37079: URL: https://github.com/apache/beam/pull/37079#issuecomment-3639717429
## 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 enhances the BigQueryIO connector by introducing explicit control over timestamp precision when reading data using the BigQuery Storage Read API. This allows users to specify whether TIMESTAMP(12) columns should be read with nanosecond or picosecond precision, ensuring data fidelity for high-precision timestamp values. The changes involve adding a new configuration option and integrating it into the BigQuery Storage API request generation, along with thorough testing to cover various data formats and precision levels. ### Highlights * **Timestamp Precision Configuration**: Introduced a new `withTimestampPrecision` option in `BigQueryIO.TypedRead` to allow users to specify the desired precision for TIMESTAMP(12) columns when reading via the BigQuery Storage Read API. This option supports nanosecond and picosecond precision. * **BigQuery Storage API Integration**: Modified internal BigQuery Storage Source classes (`BigQueryStorageQuerySource`, `BigQueryStorageTableSource`, `BigQueryStorageSourceBase`) to propagate and apply the `TimestampPrecision` setting to the underlying BigQuery Storage Read Session requests. * **Serialization Options for Precision**: The implementation now explicitly configures `ArrowSerializationOptions` and `AvroSerializationOptions` to request `TIMESTAMP_PRECISION_NANOS` or `TIMESTAMP_PRECISION_PICOS` from the BigQuery Storage API, ensuring that the specified precision is honored during data retrieval. * **Comprehensive Testing**: Added extensive unit tests to validate the new `TimestampPrecision` functionality across different data formats (Avro, Arrow) and read methods (`readTableRows`, `readTableRowsWithSchema`), covering default, micros, nanos, and picos precision scenarios. <details> <summary><b>Using Gemini Code Assist</b></summary> <br> The full guide for Gemini Code Assist can be found on our [documentation page](https://developers.google.com/gemini-code-assist/docs/review-github-code), here are some quick tips. <b>Invoking Gemini</b> You can request assistance from Gemini at any point by creating a comment using either `/gemini <command>` or `@gemini-code-assist <command>`. Below is a summary of the supported commands on the current page. Feature | Command | Description --- | --- | --- Code Review | `/gemini review` | Performs a code review for the current pull request in its current state. Pull Request Summary | `/gemini summary` | Provides a summary of the current pull request in its current state. Comment | @gemini-code-assist | Responds in comments when explicitly tagged, both in pull request comments and review comments. Help | `/gemini help` | Displays a list of available commands. <b>Customization</b> To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a `.gemini/` folder in the base of the repository. Detailed instructions can be found [here](https://developers.google.com/gemini-code-assist/docs/customize-gemini-behavior-github). <b>Limitations & Feedback</b> Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with :thumbsup: and :thumbsdown: on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up [here](https://google.qualtrics.com/jfe/form/SV_2cyuGuTWsEw84yG). <b>You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the [Gemini Code Assist IDE Extension](https://cloud.google.com/products/gemini/code-assist).</b> </details> [^1]: Review the [Privacy Notices](https://policies.google.com/privacy), [Generative AI Prohibited Use Policy](https://policies.google.com/terms/generative-ai/use-policy), [Terms of Service](https://policies.google.com/terms), and learn how to configure Gemini Code Assist in GitHub [here](https://developers.google.com/gemini-code-assist/docs/customize-gemini-behavior-github). Gemini can make mistakes, so double check it and [use code with caution](https://support.google.com/legal/answer/13505487). -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
