Same issue.
Installing collected packages: pyarrow
Attempting uninstall: pyarrow
Found existing installation: pyarrow 7.0.0
Uninstalling pyarrow-7.0.0:
Successfully uninstalled pyarrow-7.0.0
Successfully installed pyarrow-6.0.1
....
cudf/_lib/gpuarrow.pyx in init cudf._lib.gpuarrow()
AttributeError: module 'pyarrow.lib' has no attribute '_CRecordBatchReader'
On Wed, Mar 2, 2022 at 5:34 PM Niranda Perera <niranda.per...@gmail.com>
wrote:
> Hi Cindy,
> I don't think cudf supports arrow 7.0.0. Even the master branch is going
> with 6.0.1 at the moment.
>
> https://github.com/rapidsai/cudf/blob/6bcfc104051f926f46467fc55c456a9b012fc4af/conda/environments/cudf_dev_cuda11.5.yml#L20
>
> On Wed, Mar 2, 2022 at 7:21 PM Cindy McMullen <cmcmul...@twitter.com>
> wrote:
>
>> pyarrow-7.0.0
>>
>>
>> /usr/local/cuda/bin/nvcc --version
>> nvcc: NVIDIA (R) Cuda compiler driver
>> Copyright (c) 2005-2020 NVIDIA Corporation
>> Built on Thu_Jun_11_22:26:38_PDT_2020
>> Cuda compilation tools, release 11.0, V11.0.194
>> Build cuda_11.0_bu.TC445_37.28540450_0
>>
>>
>>
>> On Wed, Mar 2, 2022 at 9:09 AM Keith Kraus <keith.j.kr...@gmail.com>
>> wrote:
>>
>>> Hey Cindy,
>>>
>>> What versions of cuDF and PyArrow do you have installed? I've typically
>>> seen this pop up when there's a mismatched version.
>>>
>>> -Keith
>>>
>>> On Tue, Mar 1, 2022 at 8:28 PM Cindy McMullen <cmcmul...@twitter.com>
>>> wrote:
>>>
>>>> Hi -
>>>>
>>>> I'm trying to use DGL (Deep Graph Library) DGLDataset API with the
>>>> RAPIDS cuda DataFrame API. Am getting this error:
>>>>
>>>> module 'pyarrow.lib' has no attribute '_CRecordBatchReader'
>>>>
>>>>
>>>> Wonder if you see anything obvious in the stack trace that might help me
>>>> debug?
>>>>
>>>>
>>>>
>>>> Here's the full stack trace:
>>>>
>>>>
>>>> <ipython-input-5-81f2b1833437> in __init__(self) 10 """ 11 def
>>>> __init__(self):---> 12 super(UserSimsSingleFileDataset,
>>>> self).__init__(name='UserSimsDataset', verbose=False) 13 14 #
>>>> One quirk of DGLDataset is that process() and __len__ (load, save) are
>>>> called immediately after super(),
>>>> /opt/conda/lib/python3.7/site-packages/dgl/data/dgl_dataset.py in
>>>> __init__(self, name, url, raw_dir, save_dir, hash_key, force_reload,
>>>> verbose) 91 self._save_dir = save_dir 92 ---> 93
>>>> self._load() 94 95 def download(self):
>>>> /opt/conda/lib/python3.7/site-packages/dgl/data/dgl_dataset.py in
>>>> _load(self) 176 if not load_flag: 177
>>>> self._download()--> 178 self.process() 179
>>>> self.save() 180 if self.verbose:
>>>> <ipython-input-5-81f2b1833437> in process(self) 20 21 import
>>>> gcsfs---> 22 import cudf 23 self.rows_per_batch = 10000 24
>>>> gs = gcsfs.GCSFileSystem()
>>>> /opt/conda/lib/python3.7/site-packages/cudf/__init__.py in <module> 9
>>>> import rmm 10 ---> 11 from cudf import core, datasets, testing 12
>>>> from cudf._version import get_versions 13 from cudf.api.extensions
>>>> import (
>>>> /opt/conda/lib/python3.7/site-packages/cudf/core/__init__.py in <module>
>>>> 1 # Copyright (c) 2018-2020, NVIDIA CORPORATION. 2 ----> 3 from
>>>> cudf.core import buffer, column, column_accessor, common 4 from
>>>> cudf.core.buffer import Buffer 5 from cudf.core.dataframe import
>>>> DataFrame, from_pandas, merge
>>>> /opt/conda/lib/python3.7/site-packages/cudf/core/column/__init__.py in
>>>> <module> 1 # Copyright (c) 2020-2021, NVIDIA CORPORATION. 2
>>>> ----> 3 from cudf.core.column.categorical import CategoricalColumn 4
>>>> from cudf.core.column.column import ( 5 ColumnBase,
>>>> /opt/conda/lib/python3.7/site-packages/cudf/core/column/categorical.py in
>>>> <module> 20 21 import cudf---> 22 from cudf import _lib as
>>>> libcudf 23 from cudf._lib.scalar import as_device_scalar 24 from
>>>> cudf._lib.transform import bools_to_mask
>>>> /opt/conda/lib/python3.7/site-packages/cudf/_lib/__init__.py in <module>
>>>> 2 import numpy as np 3 ----> 4 from . import ( 5 avro,
>>>> 6 binaryop,
>>>> cudf/_lib/gpuarrow.pyx in init cudf._lib.gpuarrow()
>>>> AttributeError: module 'pyarrow.lib' has no attribute '_CRecordBatchReader'
>>>>
>>>>
>
> --
> Niranda Perera
> https://niranda.dev/
> @n1r44 <https://twitter.com/N1R44>
>
>
