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rapidsai / cudf

cuDF - GPU DataFrame Library
https://docs.rapids.ai/api/cudf/stable/
Apache License 2.0
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[BUG] `cudf.read_parquet` errors when non-cudf engine is used #6175

Open galipremsagar opened 3 years ago

galipremsagar commented 3 years ago

Describe the bug When we save a dataframe containing a series with duration type using fastparquet engine and trying to load the same parquet file works in pandas but not in cudf.

Steps/Code to reproduce bug

In[197]: df = pd.DataFrame({"a":pd.Series([234334353455, 4354353455445, 54546344356], dtype='timedelta64[ns]')})
In[198]: df
Out[198]: 
                          a
0 0 days 00:03:54.334353455
1 0 days 01:12:34.353455445
2 0 days 00:00:54.546344356
In[199]: df.to_parquet("temp_file", engine='fastparquet', compression='GZIP')
In[200]: pd.read_parquet("temp_file", engine='fastparquet')
Out[200]: 
                       a
0 0 days 00:03:54.334353
1 0 days 01:12:34.353455
2 0 days 00:00:54.546344
In[201]: cudf.read_parquet("temp_file", engine='fastparquet')
/home/pgali/anaconda3/envs/cudf_dev11/lib/python3.7/site-packages/cudf/io/parquet.py:261: UserWarning: Using CPU via PyArrow to read Parquet dataset.
  warnings.warn("Using CPU via PyArrow to read Parquet dataset.")
Traceback (most recent call last):
  File "/home/pgali/anaconda3/envs/cudf_dev11/lib/python3.7/site-packages/IPython/core/interactiveshell.py", line 3417, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)
  File "<ipython-input-201-cc14a22603f4>", line 1, in <module>
    cudf.read_parquet("temp_file", engine='fastparquet')
  File "/home/pgali/anaconda3/envs/cudf_dev11/lib/python3.7/site-packages/cudf/io/parquet.py", line 264, in read_parquet
    columns=columns, *args, **kwargs
  File "/home/pgali/anaconda3/envs/cudf_dev11/lib/python3.7/site-packages/cudf/core/dataframe.py", line 4809, in from_arrow
    out = super().from_arrow(table)
  File "/home/pgali/anaconda3/envs/cudf_dev11/lib/python3.7/contextlib.py", line 74, in inner
    return func(*args, **kwds)
  File "/home/pgali/anaconda3/envs/cudf_dev11/lib/python3.7/site-packages/cudf/core/frame.py", line 1935, in from_arrow
    else libcudf.interop.from_arrow(data, data.column_names)
  File "cudf/_lib/interop.pyx", line 154, in cudf._lib.interop.from_arrow
RuntimeError: cuDF failure at: /home/pgali/Desktop/cudf/cpp/src/interop/from_arrow.cu:76: Unsupported type_id conversion to cudf

Expected behavior To not error and load the dataframe, like in pd.read_parquet

Environment overview (please complete the following information)

Environment details Please run and paste the output of the cudf/print_env.sh script here, to gather any other relevant environment details

Click here to see environment details

     **git***
     commit 8e0d85cfd4512bb3394104487c908e07d875f667 (HEAD -> 6001, origin/6001)
     Merge: 073534b263 19237a09fe
     Author: galipremsagar 
     Date:   Tue Sep 8 12:24:30 2020 -0500

     Merge remote-tracking branch 'upstream/branch-0.16' into 6001
     **git submodules***

     ***OS Information***
     DISTRIB_ID=Ubuntu
     DISTRIB_RELEASE=20.04
     DISTRIB_CODENAME=focal
     DISTRIB_DESCRIPTION="Ubuntu 20.04.1 LTS"
     NAME="Ubuntu"
     VERSION="20.04.1 LTS (Focal Fossa)"
     ID=ubuntu
     ID_LIKE=debian
     PRETTY_NAME="Ubuntu 20.04.1 LTS"
     VERSION_ID="20.04"
     HOME_URL="https://www.ubuntu.com/"
     SUPPORT_URL="https://help.ubuntu.com/"
     BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/"
     PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy"
     VERSION_CODENAME=focal
     UBUNTU_CODENAME=focal
     Linux pgali-HP-Z8-G4-Workstation 5.4.0-47-generic #51-Ubuntu SMP Fri Sep 4 19:50:52 UTC 2020 x86_64 x86_64 x86_64 GNU/Linux

     ***GPU Information***
     Tue Sep  8 17:14:57 2020
     +-----------------------------------------------------------------------------+
     | NVIDIA-SMI 450.66       Driver Version: 450.66       CUDA Version: 11.0     |
     |-------------------------------+----------------------+----------------------+
     | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
     | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
     |                               |                      |               MIG M. |
     |===============================+======================+======================|
     |   0  Quadro RTX 8000     Off  | 00000000:22:00.0 Off |                  Off |
     | 34%   33C    P8     5W / 260W |    663MiB / 48601MiB |      0%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+
     |   1  Quadro RTX 8000     Off  | 00000000:2D:00.0  On |                  Off |
     | 33%   37C    P8    22W / 260W |    353MiB / 48592MiB |      0%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+

     +-----------------------------------------------------------------------------+
     | Processes:                                                                  |
     |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
     |        ID   ID                                                   Usage      |
     |=============================================================================|
     |    0   N/A  N/A       955      G   /usr/lib/xorg/Xorg                  4MiB |
     |    0   N/A  N/A      1848      G   /usr/lib/xorg/Xorg                  4MiB |
     |    0   N/A  N/A      5155      C   ...nvs/cudf_dev11/bin/python      649MiB |
     |    1   N/A  N/A       955      G   /usr/lib/xorg/Xorg                 39MiB |
     |    1   N/A  N/A      1848      G   /usr/lib/xorg/Xorg                128MiB |
     |    1   N/A  N/A      2050      G   /usr/bin/gnome-shell              158MiB |
     |    1   N/A  N/A      4900      G   /usr/lib/firefox/firefox            3MiB |
     |    1   N/A  N/A      5063      G   /usr/lib/firefox/firefox            3MiB |
     |    1   N/A  N/A      5372      G   /usr/lib/firefox/firefox            3MiB |
     |    1   N/A  N/A      7190      G   /usr/lib/firefox/firefox            3MiB |
     +-----------------------------------------------------------------------------+

     ***CPU***
     Architecture:                    x86_64
     CPU op-mode(s):                  32-bit, 64-bit
     Byte Order:                      Little Endian
     Address sizes:                   46 bits physical, 48 bits virtual
     CPU(s):                          12
     On-line CPU(s) list:             0-11
     Thread(s) per core:              2
     Core(s) per socket:              6
     Socket(s):                       1
     NUMA node(s):                    1
     Vendor ID:                       GenuineIntel
     CPU family:                      6
     Model:                           85
     Model name:                      Intel(R) Xeon(R) Gold 6128 CPU @ 3.40GHz
     Stepping:                        4
     CPU MHz:                         1200.111
     CPU max MHz:                     3700.0000
     CPU min MHz:                     1200.0000
     BogoMIPS:                        6800.00
     Virtualization:                  VT-x
     L1d cache:                       192 KiB
     L1i cache:                       192 KiB
     L2 cache:                        6 MiB
     L3 cache:                        19.3 MiB
     NUMA node0 CPU(s):               0-11
     Vulnerability Itlb multihit:     KVM: Vulnerable
     Vulnerability L1tf:              Mitigation; PTE Inversion
     Vulnerability Mds:               Mitigation; Clear CPU buffers; SMT vulnerable
     Vulnerability Meltdown:          Mitigation; PTI
     Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp
     Vulnerability Spectre v1:        Mitigation; usercopy/swapgs barriers and __user pointer sanitization
     Vulnerability Spectre v2:        Mitigation; Full generic retpoline, IBPB conditional, IBRS_FW, STIBP conditional, RSB filling
     Vulnerability Srbds:             Not affected
     Vulnerability Tsx async abort:   Mitigation; Clear CPU buffers; SMT vulnerable
     Flags:                           fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cdp_l3 invpcid_single pti intel_ppin ssbd mba ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm mpx rdt_a avx512f avx512dq rdseed adx smap clflushopt clwb intel_pt avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts hwp hwp_act_window hwp_epp hwp_pkg_req pku ospke md_clear flush_l1d

     ***CMake***
     /home/pgali/anaconda3/envs/cudf_dev11/bin/cmake
     cmake version 3.18.2

     CMake suite maintained and supported by Kitware (kitware.com/cmake).

     ***g++***
     /usr/bin/g++
     g++ (Ubuntu 9.3.0-10ubuntu2) 9.3.0
     Copyright (C) 2019 Free Software Foundation, Inc.
     This is free software; see the source for copying conditions.  There is NO
     warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

     ***nvcc***
     /usr/local/cuda/bin/nvcc
     nvcc: NVIDIA (R) Cuda compiler driver
     Copyright (c) 2005-2020 NVIDIA Corporation
     Built on Wed_Jul_22_19:09:09_PDT_2020
     Cuda compilation tools, release 11.0, V11.0.221
     Build cuda_11.0_bu.TC445_37.28845127_0

     ***Python***
     /home/pgali/anaconda3/envs/cudf_dev11/bin/python
     Python 3.7.8

     ***Environment Variables***
     PATH                            : /home/pgali/anaconda3/envs/cudf_dev11/bin:/home/pgali/anaconda3/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin:/usr/local/cuda/bin
     LD_LIBRARY_PATH                 : :/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64
     NUMBAPRO_NVVM                   :
     NUMBAPRO_LIBDEVICE              :
     CONDA_PREFIX                    : /home/pgali/anaconda3/envs/cudf_dev11
     PYTHON_PATH                     :

     ***conda packages***
     /home/pgali/anaconda3/condabin/conda
     # packages in environment at /home/pgali/anaconda3/envs/cudf_dev11:
     #
     # Name                    Version                   Build  Channel
     _libgcc_mutex             0.1                 conda_forge    conda-forge
     _openmp_mutex             4.5                       1_gnu    conda-forge
     abseil-cpp                20200225.2           he1b5a44_2    conda-forge
     alabaster                 0.7.12                     py_0    conda-forge
     appdirs                   1.4.3                      py_1    conda-forge
     argon2-cffi               20.1.0           py37h8f50634_1    conda-forge
     arrow-cpp                 0.17.1          py37h1234567_11_cuda    conda-forge
     arrow-cpp-proc            1.0.1                      cuda    conda-forge
     attrs                     20.1.0             pyh9f0ad1d_0    conda-forge
     aws-sdk-cpp               1.7.164              hba45d7a_2    conda-forge
     babel                     2.8.0                      py_0    conda-forge
     backcall                  0.2.0              pyh9f0ad1d_0    conda-forge
     backports                 1.0                        py_2    conda-forge
     backports.functools_lru_cache 1.6.1                      py_0    conda-forge
     black                     19.10b0                    py_4    conda-forge
     bleach                    3.1.5              pyh9f0ad1d_0    conda-forge
     bokeh                     2.2.1            py37hc8dfbb8_0    conda-forge
     boost-cpp                 1.72.0               h7b93d67_2    conda-forge
     brotli                    1.0.9                he1b5a44_0    conda-forge
     brotlipy                  0.7.0           py37h8f50634_1000    conda-forge
     bzip2                     1.0.8                h516909a_3    conda-forge
     c-ares                    1.16.1               h516909a_3    conda-forge
     ca-certificates           2020.7.22                     0
     certifi                   2020.6.20                py37_0
     cffi                      1.14.1           py37h2b28604_0    conda-forge
     cfgv                      3.2.0                      py_0    conda-forge
     chardet                   3.0.4           py37hc8dfbb8_1006    conda-forge
     clang                     8.0.1                hc9558a2_2    conda-forge
     clang-tools               8.0.1                hc9558a2_2    conda-forge
     clangxx                   8.0.1                         2    conda-forge
     click                     7.1.2              pyh9f0ad1d_0    conda-forge
     cloudpickle               1.6.0                      py_0    conda-forge
     cmake                     3.18.2               h5c55442_0    conda-forge
     cmake_setuptools          0.1.3                      py_0    rapidsai
     commonmark                0.9.1                      py_0    conda-forge
     cryptography              3.1              py37hb09aad4_0    conda-forge
     cudatoolkit               11.0.221             h6bb024c_0    nvidia
     cudf                      0.16.0a0+1513.g8e0d85cfd4          pypi_0    pypi
     cudnn                     8.0.0                cuda11.0_0    nvidia
     cupy                      7.8.0            py37h0ce7dbb_0    rapidsai
     curl                      7.71.1               he644dc0_5    conda-forge
     cython                    0.29.21          py37h3340039_0    conda-forge
     cytoolz                   0.10.1           py37h516909a_0    conda-forge
     dask                      2.25.0+9.g377965ad          pypi_0    pypi
     dask-core                 2.25.0                     py_0
     dask-cudf                 0.16.0a0+1513.g8e0d85cfd4.dirty          pypi_0    pypi
     decorator                 4.4.2                      py_0    conda-forge
     defusedxml                0.6.0                      py_0    conda-forge
     dicttoxml                 1.7.4                    py37_1
     distlib                   0.3.1              pyh9f0ad1d_0    conda-forge
     distributed               2.25.0+6.g73fa9bd1          pypi_0    pypi
     dlpack                    0.3                  he1b5a44_1    conda-forge
     docutils                  0.16             py37hc8dfbb8_1    conda-forge
     double-conversion         3.1.5                he1b5a44_2    conda-forge
     editdistance              0.5.3            py37h3340039_1    conda-forge
     entrypoints               0.3             py37hc8dfbb8_1001    conda-forge
     expat                     2.2.9                he1b5a44_2    conda-forge
     fastavro                  1.0.0.post1      py37h8f50634_0    conda-forge
     fastparquet               0.4.1                    pypi_0    pypi
     fastrlock                 0.5              py37h3340039_0    conda-forge
     filelock                  3.0.12             pyh9f0ad1d_0    conda-forge
     flake8                    3.8.3                      py_1    conda-forge
     flatbuffers               1.12.0               he1b5a44_0    conda-forge
     freetype                  2.10.2               he06d7ca_0    conda-forge
     fsspec                    0.8.0                      py_0    conda-forge
     future                    0.18.2           py37hc8dfbb8_1    conda-forge
     gflags                    2.2.2             he1b5a44_1004    conda-forge
     glog                      0.4.0                h49b9bf7_3    conda-forge
     gmp                       6.2.0                he1b5a44_2    conda-forge
     grpc-cpp                  1.30.2               heedbac9_0    conda-forge
     heapdict                  1.0.1                      py_0    conda-forge
     hypothesis                5.28.0                     py_0    conda-forge
     icu                       67.1                 he1b5a44_0    conda-forge
     identify                  1.4.30             pyh9f0ad1d_0    conda-forge
     idna                      2.10               pyh9f0ad1d_0    conda-forge
     imagesize                 1.2.0                      py_0    conda-forge
     importlib-metadata        1.7.0            py37hc8dfbb8_0    conda-forge
     importlib_metadata        1.7.0                         0    conda-forge
     iniconfig                 1.0.1              pyh9f0ad1d_0    conda-forge
     ipykernel                 5.3.4            py37h43977f1_0    conda-forge
     ipython                   7.18.1           py37hc6149b9_0    conda-forge
     ipython_genutils          0.2.0                      py_1    conda-forge
     isort                     5.0.7            py37hc8dfbb8_0    conda-forge
     jedi                      0.17.2           py37hc8dfbb8_0    conda-forge
     jinja2                    2.11.2             pyh9f0ad1d_0    conda-forge
     jpeg                      9d                   h516909a_0    conda-forge
     jsonschema                3.2.0            py37hc8dfbb8_1    conda-forge
     jupyter_client            6.1.7                      py_0    conda-forge
     jupyter_core              4.6.3            py37hc8dfbb8_1    conda-forge
     krb5                      1.17.1               hfafb76e_3    conda-forge
     lcms2                     2.11                 hbd6801e_0    conda-forge
     ld_impl_linux-64          2.34                 hc38a660_9    conda-forge
     libblas                   3.8.0               17_openblas    conda-forge
     libcblas                  3.8.0               17_openblas    conda-forge
     libcurl                   7.71.1               hcdd3856_5    conda-forge
     libedit                   3.1.20191231         he28a2e2_2    conda-forge
     libev                     4.33                 h516909a_1    conda-forge
     libevent                  2.1.10               hcdb4288_2    conda-forge
     libffi                    3.2.1             he1b5a44_1007    conda-forge
     libgcc-ng                 9.3.0               h24d8f2e_16    conda-forge
     libgfortran-ng            7.5.0               hdf63c60_16    conda-forge
     libgomp                   9.3.0               h24d8f2e_16    conda-forge
     liblapack                 3.8.0               17_openblas    conda-forge
     libllvm10                 10.0.1               he513fc3_3    conda-forge
     libllvm8                  8.0.1                hc9558a2_0    conda-forge
     libnghttp2                1.41.0               h8cfc5f6_2    conda-forge
     libopenblas               0.3.10          pthreads_hb3c22a3_4    conda-forge
     libpng                    1.6.37               hed695b0_2    conda-forge
     libprotobuf               3.12.4               h8b12597_0    conda-forge
     librmm                    0.16.0a200904   cuda11.0_g83f7b35_284    rapidsai-nightly
     libsodium                 1.0.18               h516909a_0    conda-forge
     libssh2                   1.9.0                hab1572f_5    conda-forge
     libstdcxx-ng              9.3.0               hdf63c60_16    conda-forge
     libtiff                   4.1.0                hc7e4089_6    conda-forge
     libuv                     1.39.0               h516909a_0    conda-forge
     libwebp-base              1.1.0                h516909a_3    conda-forge
     llvmlite                  0.34.0           py37h5202443_1    conda-forge
     locket                    0.2.0                      py_2    conda-forge
     lz4-c                     1.9.2                he1b5a44_3    conda-forge
     markdown                  3.2.2                      py_0    conda-forge
     markupsafe                1.1.1            py37h8f50634_1    conda-forge
     mccabe                    0.6.1                      py_1    conda-forge
     mimesis                   4.0.0              pyh9f0ad1d_0    conda-forge
     mistune                   0.8.4           py37h8f50634_1001    conda-forge
     more-itertools            8.5.0                      py_0    conda-forge
     msgpack-python            1.0.0            py37h99015e2_1    conda-forge
     nbconvert                 5.6.1            py37hc8dfbb8_1    conda-forge
     nbformat                  5.0.7                      py_0    conda-forge
     nbsphinx                  0.7.1              pyh9f0ad1d_0    conda-forge
     nccl                      2.7.8.1              h4962215_0    nvidia
     ncurses                   6.2                  he1b5a44_1    conda-forge
     nodeenv                   1.5.0              pyh9f0ad1d_0    conda-forge
     notebook                  6.1.3            py37hc8dfbb8_0    conda-forge
     numba                     0.51.2           py37h9fdb41a_0    conda-forge
     numpy                     1.19.1           py37h7ea13bd_2    conda-forge
     numpydoc                  1.1.0              pyh9f0ad1d_0    conda-forge
     olefile                   0.46                       py_0    conda-forge
     openssl                   1.1.1g               h7b6447c_0
     packaging                 20.4               pyh9f0ad1d_0    conda-forge
     pandas                    1.1.1            py37h3340039_0    conda-forge
     pandoc                    1.19.2                        0    conda-forge
     pandocfilters             1.4.2                      py_1    conda-forge
     parquet-cpp               1.5.1                         2    conda-forge
     parso                     0.7.1              pyh9f0ad1d_0    conda-forge
     partd                     1.1.0                      py_0    conda-forge
     pathspec                  0.8.0              pyh9f0ad1d_0    conda-forge
     pexpect                   4.8.0            py37hc8dfbb8_1    conda-forge
     pickleshare               0.7.5           py37hc8dfbb8_1001    conda-forge
     pillow                    7.2.0            py37h718be6c_1    conda-forge
     pip                       20.2.2                     py_0    conda-forge
     pluggy                    0.13.1           py37hc8dfbb8_2    conda-forge
     pre-commit                2.7.1            py37hc8dfbb8_0    conda-forge
     pre_commit                2.7.1                         0    conda-forge
     prometheus_client         0.8.0              pyh9f0ad1d_0    conda-forge
     prompt-toolkit            3.0.7                      py_0    conda-forge
     psutil                    5.7.2            py37h8f50634_0    conda-forge
     ptyprocess                0.6.0                   py_1001    conda-forge
     py                        1.9.0              pyh9f0ad1d_0    conda-forge
     pyarrow                   0.17.1          py37h1234567_11_cuda    conda-forge
     pycodestyle               2.6.0              pyh9f0ad1d_0    conda-forge
     pycparser                 2.20               pyh9f0ad1d_2    conda-forge
     pyflakes                  2.2.0              pyh9f0ad1d_0    conda-forge
     pygments                  2.6.1                      py_0    conda-forge
     pyopenssl                 19.1.0                     py_1    conda-forge
     pyparsing                 2.4.7              pyh9f0ad1d_0    conda-forge
     pyrsistent                0.16.0           py37h8f50634_0    conda-forge
     pysocks                   1.7.1            py37hc8dfbb8_1    conda-forge
     pytest                    6.0.1            py37hc8dfbb8_0    conda-forge
     python                    3.7.8           h6f2ec95_1_cpython    conda-forge
     python-dateutil           2.8.1                      py_0    conda-forge
     python_abi                3.7                     1_cp37m    conda-forge
     pytz                      2020.1             pyh9f0ad1d_0    conda-forge
     pyyaml                    5.3.1            py37h8f50634_0    conda-forge
     pyzmq                     19.0.2           py37hac76be4_0    conda-forge
     rapidjson                 1.1.0             he1b5a44_1002    conda-forge
     re2                       2020.07.06           he1b5a44_1    conda-forge
     readline                  8.0                  he28a2e2_2    conda-forge
     recommonmark              0.6.0                      py_0    conda-forge
     regex                     2020.7.14        py37h8f50634_0    conda-forge
     requests                  2.24.0             pyh9f0ad1d_0    conda-forge
     rhash                     1.3.6             h14c3975_1001    conda-forge
     rmm                       0.16.0a200904   cuda_11.0_py37_g83f7b35_284    rapidsai-nightly
     send2trash                1.5.0                      py_0    conda-forge
     setuptools                49.6.0           py37hc8dfbb8_0    conda-forge
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     sphinxcontrib-serializinghtml 1.1.4                      py_0    conda-forge
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     sqlite                    3.33.0               h4cf870e_0    conda-forge
     streamz                   0.5.5                    pypi_0    pypi
     tblib                     1.6.0                      py_0    conda-forge
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     tk                        8.6.10               hed695b0_0    conda-forge
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Additional context Surfaced while running fuzz tests in #6001

github-actions[bot] commented 3 years ago

This issue has been marked rotten due to no recent activity in the past 90d. Please close this issue if no further response or action is needed. Otherwise, please respond with a comment indicating any updates or changes to the original issue and/or confirm this issue still needs to be addressed.

devavret commented 3 years ago

This is because fastparquet writer converts the timedelta to a time64 type which we don't support.

Besides, this is a bug in fastparquet because timedelta64[ns] should convert to a duration[ns] type.

quasiben commented 3 years ago

@galipremsagar ok to close ?

galipremsagar commented 3 years ago

@quasiben Will raise an issue on fastparquet and close it here.

vyasr commented 2 years ago

@galipremsagar should this be closed?

galipremsagar commented 2 years ago

@devavret Could you provide what exactly is broken with fastparquet with a minimal reproducer so that we can raise an issue on their repo? or is this an incompatibility of types across cudf & fastparquet? But seems like pandas is handling the types correctly:

In [8]: pd.read_parquet("temp_file", engine='fastparquet')
Out[8]: 
                       a
0 0 days 00:03:54.334353
1 0 days 01:12:34.353455
2 0 days 00:00:54.546344

In [9]: pd.read_parquet("temp_file", engine='fastparquet').dtypes
Out[9]: 
a    timedelta64[ns]
dtype: object

Should cudf be doing the same kind of handling?

galipremsagar commented 2 years ago

@galipremsagar should this be closed?

Not yet, will need to know the above information

devavret commented 2 years ago

I don't remember the details anymore but looks like the problem was in the fastparquet writer, not the reader.