gounthar opened a new issue, #49555: URL: https://github.com/apache/arrow/issues/49555
### Describe the enhancement requested Add `linux/riscv64` to the PyArrow wheel build pipeline so that pre-built wheels are available on PyPI for RISC-V 64-bit users. **Current state**: Arrow C++ has riscv64 support (merged in PR #13902, 2022). PyArrow builds and imports successfully on native riscv64 hardware. But no riscv64 wheels are published on PyPI, forcing users to build from source (~1h on current hardware). **Evidence**: - Arrow C++ native build on BananaPi F3 (SpacemiT K1, rv64gc, GCC 14.2.0): SUCCESS (1h13m) - PyArrow install from source with Parquet, CSV, JSON, Compute, Filesystem: SUCCESS - `import pyarrow; print(pyarrow.__version__)` → `24.0.0a1.dev1` **Proposed approach** (following the aarch64 pattern from PR #9285): 1. Create `manylinux_2_39` Docker image for riscv64 (base: `quay.io/pypa/manylinux_2_39_riscv64`) 2. Add riscv64 entries to Crossbow tasks in `dev/tasks/tasks.yml` 3. Add CI workflow `.github/workflows/python_wheel_linux_riscv64.yml` **CI runners**: Native riscv64 runners are available for free via [RISE RISC-V runners](https://github.com/apps/rise-risc-v-runners) (used by numpy, llama.cpp, pytorch). **Ecosystem context**: 275M monthly PyPI downloads. Key dependency for pandas, polars, and the broader data science stack on RISC-V. Note: this work is part of the [RISE Project](https://riseproject.dev/) effort to improve Python ecosystem support on riscv64 platforms. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
