Add DiskProvisionedIops/ThroughputMibps pipeline options for the Java and GO SDKs and update Go client libraries

[bambadiouf1]

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

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

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

Additionally, the Go Google API client dependencies were updated to their latest versions to allow the Go SDK to recognize the newly introduced DiskProvisionedIops and DiskProvisionedThroughputMibps fields in the Dataflow API. Several other Go client libraries and dependencies in sdks/go.mod have also been indirectly updated to their latest versions as well.

Note: The pipeline options for the python SDK will be introduced in a separate pull request

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[gemini-code-assist]

Summary of Changes

Hello, 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 enables users to configure provisioned IOPS and throughput for worker VM disks in Google Cloud Dataflow pipelines. By introducing these pipeline options, users can now explicitly control disk performance, which is essential for workloads with specific I/O requirements. The changes include updates to the Java and Go SDKs, along with necessary dependency upgrades to ensure compatibility with the updated Dataflow API.

Highlights

• New Pipeline Options: Added disk_provisioned_iops and disk_provisioned_throughput_mibps options to the Google Cloud Dataflow runner for both Java and Go SDKs.
• Dependency Updates: Updated Go Google API client libraries and other dependencies in sdks/go.mod to support the new Dataflow API fields.
• Testing: Added unit tests for both Java and Go implementations to verify correct parsing and translation of the new disk performance options.

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[gemini-code-assist]

Code Review

This pull request introduces support for configuring disk provisioned IOPS and throughput for Dataflow workers in both the Java and Go SDKs. Key changes include the addition of new pipeline options, updates to the Dataflow API client version, and modifications to the job translation logic to propagate these settings to worker pools. Corresponding unit tests were added to ensure the options are correctly handled. Feedback was provided regarding an incorrect issue reference in the changelog documentation.

[codecov]

Codecov Report

❌ Patch coverage is 88.88889% with 7 lines in your changes missing coverage. Please review.
✅ Project coverage is 48.73%. Comparing base (b05fbf4) to head (363840e).
⚠️ Report is 26 commits behind head on master.

Files with missing lines	Patch %	Lines
...m/runners/dataflow/DataflowPipelineTranslator.java	0.00%	3 Missing and 2 partials ⚠️
sdks/go/pkg/beam/io/fhirio/common.go	0.00%	2 Missing ⚠️

Additional details and impacted files

@@             Coverage Diff              @@
##             master   #38349      +/-   ##
============================================
- Coverage     57.34%   48.73%   -8.61%     
- Complexity     5120    13021    +7901     
============================================
  Files          1393     2032     +639     
  Lines        197972   183250   -14722     
  Branches       4826    10614    +5788     
============================================
- Hits         113522    89306   -24216     
- Misses        80614    88257    +7643     
- Partials       3836     5687    +1851     

Flag	Coverage Δ
go	28.67% <96.55%> (+0.14%)	⬆️
java	64.28% <0.00%> (-6.60%)	⬇️
python	?

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[github-actions]

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[bambadiouf1]

assign set of reviewers

[github-actions]

Reviewers are already assigned to this PR: @jrmccluskey @damccorm

[damccorm]

Thanks!