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Current export coverage includes primitive, bool, decimal/temporal, string/binary view, and struct arrays. Remaining work includes null masks, broader dtype coverage, `ArrowDeviceArrayStream`, and PyVortex integration.
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## Building cuDF
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## cuDF compatibility
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Note that the `cudf-test-harness` repository provides prebuilt cuDF libraries for x86_64 and aarch64.
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Vortex exports string and binary columns as Arrow `Utf8View` / `BinaryView` device arrays with producer-owned `ArrowArray.private_data`. cuDF string/binary interop requires a build containing `rapidsai/cudf#22620`; until a release version is identified, test with a cuDF commit that includes that change.
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## Building cuDF for interop testing
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Pass a single CUDA architecture, e.g. `-DCMAKE_CUDA_ARCHITECTURES=90a`; otherwise cuDF builds for many architectures and local builds are much slower.
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From the cuDF repository root, compile cuDF locally without exporting additional environment variables:
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