build(native): Use cuda 12.9 in centos deps Dockerfile

[mbrobbel]

Description

Bump cuda install from 12.8 to 12.9 in presto-native-execution/scripts/dockerfiles/centos-dependency.dockerfile.

Motivation and Context

• build(cuda): Upgrade to CUDA 12.9 facebookincubator/velox#16131
• Require nvcc 12.9 in contributing guide rapidsai/cudf#21186

Impact

N/A

Test Plan

Tested via https://github.com/rapidsai/velox-testing

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Release Notes

== NO RELEASE NOTE ==

Summary by Sourcery

Build:

• Bump CUDA version from 12.8 to 12.9 in the CentOS dependency Dockerfile used for native execution builds.

[linux-foundation-easycla]

• ❌ - login: @mbrobbel / name: Matthijs Brobbel . The commit (3c72301) is not authorized under a signed CLA. Please click here to be authorized. For further assistance with EasyCLA, please submit a support request ticket.

[sourcery-ai]

Reviewer's guide (collapsed on small PRs)

Reviewer's Guide

Updates the CentOS dependency Dockerfile used for presto-native-execution to install CUDA 12.9 instead of 12.8 while keeping the rest of the build and adapter setup unchanged.

Flow diagram for CentOS dependency Dockerfile build with CUDA 12_9

flowchart TD
    A[Base image: CentOS] --> B[Create build directory]
    B --> C[Clone velox repository]
    C --> D[Run setup-centos-adapters.sh]
    D --> E[install_adapters]
    E --> F[install_clang15]
    F --> G[install_cuda 12_9]
    G --> H[Remove build directory]
    H --> I[Expose CUDA binaries on PATH]

Loading

File-Level Changes

Change	Details	Files
Bump CUDA toolkit version used in the CentOS dependency image from 12.8 to 12.9.	Adjust the install_cuda invocation to request CUDA version 12.9 instead of 12.8. Retain existing build steps for Velox adapters and Clang 15 while only changing the CUDA version parameter.	presto-native-execution/scripts/dockerfiles/centos-dependency.dockerfile

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[sourcery-ai]

Hey - I've left some high level feedback:

• Consider extracting the CUDA version into a single build ARG or environment variable in the Dockerfile (or a shared script) so future version bumps don’t require touching multiple hard-coded values.

Prompt for AI Agents

Please address the comments from this code review:

## Overall Comments
- Consider extracting the CUDA version into a single build ARG or environment variable in the Dockerfile (or a shared script) so future version bumps don’t require touching multiple hard-coded values.

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[mbrobbel]

I missed #27074. Closing this one.