Add DiskProvisionedIops and DiskProvisionedThroughputMibps pipeline options

[bambadiouf1]

This pull request introduces two new pipeline options for the Google Cloud Dataflow runner for the Java, Python and Go SDKs. These options allow users to specify provisioned performance for worker VM root disks:

disk_provisioned_iops: Sets the provisioned IOPS for the root disk. If unspecified, the service chooses a default
disk_provisioned_throughput_mibps: Sets the provisioned throughput in MiB/s for the root disk.

Added getters and setters to DataflowPipelineWorkerPoolOptions and updated DataflowPipelineTranslator to pass these values to the worker pool configuration.
Will follow up with a PR for the Go and Python SDKs

Tests have been added/updated to verify that these options are correctly parsed and translated.

More context:
we need to add these pipeline options before submitting this cl: https://critique.corp.google.com/cl/858930428
Issue: #37374

---

Thank you for your contribution! Follow this checklist to help us incorporate your contribution quickly and easily:

• Mention the appropriate issue in your description (for example: addresses #123), if applicable. This will automatically add a link to the pull request in the issue. If you would like the issue to automatically close on merging the pull request, comment fixes #<ISSUE NUMBER> instead.
• Update CHANGES.md with noteworthy changes.
• If this contribution is large, please file an Apache Individual Contributor License Agreement.

See the Contributor Guide for more tips on how to make review process smoother.

To check the build health, please visit https://github.com/apache/beam/blob/master/.test-infra/BUILD_STATUS.md

GitHub Actions Tests Status (on master branch)

See CI.md for more information about GitHub Actions CI or the workflows README to see a list of phrases to trigger workflows.

[gemini-code-assist]

Summary of Changes

Hello @bambadiouf1, 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 enhances Google Cloud Dataflow's capabilities by allowing users to specify detailed performance characteristics for worker VM root disks. By introducing options for provisioned IOPS and throughput, it provides greater control over the underlying infrastructure, which can be crucial for optimizing the performance and cost-efficiency of data processing pipelines. This change is integrated across all supported SDKs, ensuring a consistent experience for developers.

Highlights

• New Pipeline Options: Introduced DiskProvisionedIops and DiskProvisionedThroughputMibps as new pipeline options for Google Cloud Dataflow.
• Cross-SDK Implementation: These new options are implemented across the Python, Java, and Go SDKs, allowing users to specify provisioned performance for worker VM root disks regardless of the SDK used.
• Worker Disk Performance Control: Users can now explicitly set the provisioned IOPS (Input/Output Operations Per Second) and throughput (in MiB/s) for Dataflow worker root disks, offering finer control over job performance.
• Comprehensive Testing: New tests have been added for each SDK to ensure that these options are correctly parsed, translated, and applied to the Dataflow worker pool configuration.

🧠 New Feature in Public Preview: You can now enable Memory to help Gemini Code Assist learn from your team's feedback. This makes future code reviews more consistent and personalized to your project's style. Click here to enable Memory in your admin console.

Using Gemini Code Assist

The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.

Invoking Gemini

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.

Customization

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.

Limitations & Feedback

Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 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.

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.

Footnotes

1. Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution. ↩

[github-actions]

Checks are failing. Will not request review until checks are succeeding. If you'd like to override that behavior, comment assign set of reviewers

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 71.90%. Comparing base (a615657) to head (785d55c).
⚠️ Report is 11 commits behind head on master.

Additional details and impacted files

@@              Coverage Diff              @@
##             master   #37377       +/-   ##
=============================================
+ Coverage     58.52%   71.90%   +13.37%     
+ Complexity    15434     3425    -12009     
=============================================
  Files          2851      329     -2522     
  Lines        280086    29836   -250250     
  Branches      12337     3593     -8744     
=============================================
- Hits         163917    21453   -142464     
+ Misses       109756     6739   -103017     
+ Partials       6413     1644     -4769     

Flag	Coverage Δ
go	?
java	71.90% <ø> (+7.29%)	⬆️
python	?

Flags with carried forward coverage won't be shown. Click here to find out more.

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.
• 📦 JS Bundle Analysis: Save yourself from yourself by tracking and limiting bundle sizes in JS merges.