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GH-50628: [C++][Parquet] Rework RecordReader to introduce flat optional optimization #61380

GH-50628: [C++][Parquet] Rework RecordReader to introduce flat optional optimization

GH-50628: [C++][Parquet] Rework RecordReader to introduce flat optional optimization #61380

Triggered via pull request October 8, 2026 10:03
Status Success
Total duration 45m 35s
Artifacts 8

python.yml

on: pull_request
AMD64 Windows 2022 Python 3.13
14m 34s
AMD64 Windows 2022 Python 3.13
Matrix: docker
Matrix: macos
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2 errors and 6 notices
AMD64 macOS 15-intel Python 3
No available formula with the name "llvm@23". Did you mean llvm, llvm@22, llvm@21, llvm@20, llvm@19, llvm@18, llvm@17, llvm@16, llvm@15 or llvm@14?
AMD64 macOS 15-intel Python 3
No available formula with the name "llvm@23". Did you mean llvm, llvm@22, llvm@21, llvm@20, llvm@19, llvm@18, llvm@17, llvm@16, llvm@15 or llvm@14?
AMD64 Conda Python 3.13 without NumPy
"The ubuntu-latest label will migrate to Ubuntu 26 beginning October 19, 2026. For more information, see https://github.com/actions/runner-images/issues/14748"
AMD64 Conda Python 3.12 Without Pandas
"The ubuntu-latest label will migrate to Ubuntu 26 beginning October 19, 2026. For more information, see https://github.com/actions/runner-images/issues/14748"
AMD64 Conda Python 3.11 Pandas 2.2.2 NumPy 2.0.2
"The ubuntu-latest label will migrate to Ubuntu 26 beginning October 19, 2026. For more information, see https://github.com/actions/runner-images/issues/14748"
AMD64 Conda Python 3.14 Pandas latest
"The ubuntu-latest label will migrate to Ubuntu 26 beginning October 19, 2026. For more information, see https://github.com/actions/runner-images/issues/14748"
AMD64 Conda Python 3.12 Sphinx & Numpydoc
"The ubuntu-latest label will migrate to Ubuntu 26 beginning October 19, 2026. For more information, see https://github.com/actions/runner-images/issues/14748"
ARM64 macOS 14 Python 3
Due to capacity constraints, jobs targeting macOS arm64 runners may experience longer queue times.

Artifacts

Produced during runtime
Name Size Digest
python-ccache-macos-14-50629_merge
1.39 GB
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python-ccache-macos-15-intel-50629_merge
1.39 GB
sha256:dbd53cd886fbe70ae1c8c52b4cbf7e4bac59d65239c6e614db0bd2a77a1fc827
python-ccache-windows-50629_merge
1.4 GB
sha256:fbc1137098560a1add7bed921692e3dfbfcaa36b2fd60b92576b4888a7042996
python-conda-python-3.11-pandas-2.2.2-numpy-2.0.2-50629_merge
1.39 GB
sha256:ac123c80437c033b53f2e86a4eb515eedf2060c73703deb16ec0e6a54146ff7c
python-conda-python-3.12-nopandas-50629_merge
1.39 GB
sha256:aa7e44c5509d434e36cbc414413665b5ab1bc11a96c96d381a4a3b4c6efee835
python-conda-python-3.13-no-numpy-50629_merge
1.39 GB
sha256:416e5eb28b62f3bda646a2389428adaf222cac2f4281c788019b3edb46474b90
python-conda-python-3.14-pandas-latest-50629_merge
1.39 GB
sha256:cbf1e085bbc2bb09e5daec0794ba53393b09cda89068ff01da7aeab2c5257873
python-conda-python-docs-50629_merge
1.39 GB
sha256:f937ffd25661470fee54425eefaf598df771be247533af45392386f2fc59086b