gemini-code-assist[bot] commented on PR #37016:
URL: https://github.com/apache/beam/pull/37016#issuecomment-3618471109
## Summary of Changes
Hello @shunping, 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 integrates two key updates into the Release-2.70 branch.
It refactors Python dependencies by moving several packages into optional
extras, promoting a more modular installation experience. Concurrently, it
introduces the `GcpHsmGeneratedSecret` utility, a significant security
enhancement that allows Beam pipelines to generate and manage secrets using
Google Cloud KMS Hardware Security Modules (HSM) and Secret Manager.
Additionally, the PR includes a refinement to BigQueryIO's retry mechanism for
temporary tables and temporary exclusions for certain Go SDK integration tests.
### Highlights
* **Python Dependency Refactoring**: Several Python dependencies, including
`hdfs`, have been moved from the core `apache-beam` package into optional
extras. Users who rely on these components will now need to explicitly install
them, for example, by using `pip install apache-beam[hadoop]`.
* **GCP HSM Generated Secret Integration**: A new `GcpHsmGeneratedSecret`
utility has been introduced in both Java and Python SDKs. This feature enables
secure generation and management of secrets leveraging Google Cloud Key
Management Service (KMS) Hardware Security Modules (HSM) and Google Cloud
Secret Manager.
* **BigQueryIO Retry Logic Improvement**: A fix has been implemented in
BigQueryIO to correctly handle and remove temporary tables during retry
operations, ensuring data consistency and preventing potential issues.
<details>
<summary><b>Ignored Files</b></summary>
* **Ignored by pattern:** `.github/workflows/**` (1)
* .github/workflows/beam_PostCommit_XVR_GoUsingJava_Dataflow.yml
</details>
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