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[BUG] RuntimeError when there is an empty dataframe written to orc file #7356

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galipremsagar opened this issue Feb 9, 2021 · 0 comments · Fixed by #7624
Closed

[BUG] RuntimeError when there is an empty dataframe written to orc file #7356

galipremsagar opened this issue Feb 9, 2021 · 0 comments · Fixed by #7624
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@rgsl888prabhu
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bug Something isn't working cuIO cuIO issue libcudf Affects libcudf (C++/CUDA) code.

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@galipremsagar
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Describe the bug
When there is an empty data frame being written to the orc file, reading it back raises an error. While reading it back from pandas/pyarrow doesn't throw any error.

Steps/Code to reproduce bug

>>> import cudf
>>> df = cudf.DataFrame()
>>> df
Empty DataFrame
Columns: []
Index: []
>>> df.to_orc('s')
>>> cudf.read_orc('s')
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/nvme/0/pgali/envs/cudfdev/lib/python3.7/site-packages/cudf/io/orc.py", line 271, in read_orc
    timestamp_type,
  File "cudf/_lib/orc.pyx", line 68, in cudf._lib.orc.read_orc
  File "cudf/_lib/orc.pyx", line 107, in cudf._lib.orc.read_orc
RuntimeError: cuDF failure at: /nvme/0/pgali/cudf/cpp/src/io/orc/reader_impl.cu:439: Unknown type
>>> import pandas as pd
>>> pd.read_orc('s')
Empty DataFrame
Columns: []
Index: []

Expected behavior

>>> cudf.read_orc('s')
Empty DataFrame
Columns: []
Index: []

Environment overview (please complete the following information)

  • Environment location: [Bare-metal]
  • Method of cuDF install: [from source]

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 c0282e6ede155d871a2d531e56dcb6479cd27b0c (HEAD -> pyorc_fuzz_fix, upstream/branch-0.19)
 Author: Conor Hoekstra <[email protected]>
 Date:   Mon Feb 8 23:15:47 2021 -0500
 
 Use `cudf::detail::make_counting_transform_iterator` (#7338)
 
 Came across some "raw" uses of `thrust::make_transform_iterator` + `thrust::make_counting_iterator` where now `cudf::detail::make_counting_transform_iterator` can be used (because of https://github.com/rapidsai/cudf/pull/6546).
 
 Authors:
 - Conor Hoekstra (@codereport)
 
 Approvers:
 - Devavret Makkar (@devavret)
 - David (@davidwendt)
 - Mark Harris (@harrism)
 
 URL: https://github.com/rapidsai/cudf/pull/7338
 **git submodules***
 
 ***OS Information***
 DISTRIB_ID=Ubuntu
 DISTRIB_RELEASE=18.04
 DISTRIB_CODENAME=bionic
 DISTRIB_DESCRIPTION="Ubuntu 18.04.4 LTS"
 NAME="Ubuntu"
 VERSION="18.04.4 LTS (Bionic Beaver)"
 ID=ubuntu
 ID_LIKE=debian
 PRETTY_NAME="Ubuntu 18.04.4 LTS"
 VERSION_ID="18.04"
 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=bionic
 UBUNTU_CODENAME=bionic
 Linux dt07 4.15.0-76-generic #86-Ubuntu SMP Fri Jan 17 17:24:28 UTC 2020 x86_64 x86_64 x86_64 GNU/Linux
 
 ***GPU Information***
 Tue Feb  9 10:33:25 2021
 +-----------------------------------------------------------------------------+
 | NVIDIA-SMI 440.64.00    Driver Version: 440.64.00    CUDA Version: 10.2     |
 |-------------------------------+----------------------+----------------------+
 | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
 | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
 |===============================+======================+======================|
 |   0  Tesla T4            On   | 00000000:3B:00.0 Off |                    0 |
 | N/A   49C    P0    27W /  70W |   1417MiB / 15109MiB |      0%      Default |
 +-------------------------------+----------------------+----------------------+
 |   1  Tesla T4            On   | 00000000:5E:00.0 Off |                    0 |
 | N/A   36C    P8     9W /  70W |     11MiB / 15109MiB |      0%      Default |
 +-------------------------------+----------------------+----------------------+
 |   2  Tesla T4            On   | 00000000:AF:00.0 Off |                    0 |
 | N/A   32C    P8     9W /  70W |     11MiB / 15109MiB |      0%      Default |
 +-------------------------------+----------------------+----------------------+
 |   3  Tesla T4            On   | 00000000:D8:00.0 Off |                    0 |
 | N/A   31C    P8     9W /  70W |     11MiB / 15109MiB |      0%      Default |
 +-------------------------------+----------------------+----------------------+
 
 +-----------------------------------------------------------------------------+
 | Processes:                                                       GPU Memory |
 |  GPU       PID   Type   Process name                             Usage      |
 |=============================================================================|
 |    0       585      C   python                                       873MiB |
 |    0     42169      C   python                                       533MiB |
 +-----------------------------------------------------------------------------+
 
 ***CPU***
 Architecture:        x86_64
 CPU op-mode(s):      32-bit, 64-bit
 Byte Order:          Little Endian
 CPU(s):              64
 On-line CPU(s) list: 0-63
 Thread(s) per core:  2
 Core(s) per socket:  16
 Socket(s):           2
 NUMA node(s):        2
 Vendor ID:           GenuineIntel
 CPU family:          6
 Model:               85
 Model name:          Intel(R) Xeon(R) Gold 6130 CPU @ 2.10GHz
 Stepping:            4
 CPU MHz:             2790.071
 BogoMIPS:            4200.00
 Virtualization:      VT-x
 L1d cache:           32K
 L1i cache:           32K
 L2 cache:            1024K
 L3 cache:            22528K
 NUMA node0 CPU(s):   0,2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32,34,36,38,40,42,44,46,48,50,52,54,56,58,60,62
 NUMA node1 CPU(s):   1,3,5,7,9,11,13,15,17,19,21,23,25,27,29,31,33,35,37,39,41,43,45,47,49,51,53,55,57,59,61,63
 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 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 pku ospke md_clear flush_l1d
 
 ***CMake***
 /nvme/0/pgali/envs/cudfdev/bin/cmake
 cmake version 3.18.5
 
 CMake suite maintained and supported by Kitware (kitware.com/cmake).
 
 ***g++***
 /usr/bin/g++
 g++ (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0
 Copyright (C) 2017 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) 2005-2019 NVIDIA Corporation
 Built on Wed_Oct_23_19:24:38_PDT_2019
 Cuda compilation tools, release 10.2, V10.2.89
 
 ***Python***
 /nvme/0/pgali/envs/cudfdev/bin/python
 Python 3.7.9
 
 ***Environment Variables***
 PATH                            : /nvme/0/pgali/envs/cudfdev/bin:/usr/share/swift/usr/bin:/home/nfs/pgali/bin:/home/nfs/pgali/.local/bin:/home/nfs/pgali/anaconda3/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin:/usr/lib/jvm/default-java/bin:/usr/share/sbt-launcher-packaging/bin/sbt-launch.jar/bin:/usr/lib/spark/bin:/usr/lib/spark/sbin:/usr/local/cuda/bin:/nvme/0/pgali/envs/cudfdev/bin
 LD_LIBRARY_PATH                 : /usr/local/cuda/lib64::/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64
 NUMBAPRO_NVVM                   :
 NUMBAPRO_LIBDEVICE              :
 CONDA_PREFIX                    : /nvme/0/pgali/envs/cudfdev
 PYTHON_PATH                     :
 
 ***conda packages***
 /home/nfs/pgali/anaconda3/condabin/conda
 # packages in environment at /nvme/0/pgali/envs/cudfdev:
 #
 # Name                    Version                   Build  Channel
 _libgcc_mutex             0.1                 conda_forge    conda-forge
 _openmp_mutex             4.5                       1_gnu    conda-forge
 abseil-cpp                20200923.3           h9c3ff4c_0    conda-forge
 alabaster                 0.7.12                     py_0    conda-forge
 apipkg                    1.5                        py_0    conda-forge
 appdirs                   1.4.4              pyh9f0ad1d_0    conda-forge
 argon2-cffi               20.1.0           py37h5e8e339_2    conda-forge
 arrow-cpp                 1.0.1           py37hb964363_28_cuda    conda-forge
 arrow-cpp-proc            3.0.0                      cuda    conda-forge
 async_generator           1.10                       py_0    conda-forge
 attrs                     20.3.0             pyhd3deb0d_0    conda-forge
 aws-c-cal                 0.4.5                hf6e5757_5    conda-forge
 aws-c-common              0.4.66               h7f98852_0    conda-forge
 aws-c-event-stream        0.2.6                h512258e_2    conda-forge
 aws-c-io                  0.8.2                hb50cebf_1    conda-forge
 aws-checksums             0.1.10               hb50cebf_3    conda-forge
 aws-sdk-cpp               1.8.134              h52c4536_1    conda-forge
 babel                     2.9.0              pyhd3deb0d_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                    3.3.0              pyh44b312d_0    conda-forge
 bokeh                     2.2.3            py37h89c1867_0    conda-forge
 boost-cpp                 1.74.0               hc6e9bd1_2    conda-forge
 brotli                    1.0.9                h9c3ff4c_4    conda-forge
 brotlipy                  0.7.0           py37h5e8e339_1001    conda-forge
 bzip2                     1.0.8                h7f98852_4    conda-forge
 c-ares                    1.17.1               h36c2ea0_0    conda-forge
 ca-certificates           2020.12.5            ha878542_0    conda-forge
 certifi                   2020.12.5        py37h89c1867_1    conda-forge
 cffi                      1.14.4           py37hc58025e_1    conda-forge
 cfgv                      3.2.0                      py_0    conda-forge
 chardet                   4.0.0            py37h89c1867_1    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                     3.18.5               h1f3970d_0    rapidsai-nightly
 cmake_setuptools          0.1.3                      py_0    rapidsai
 colorama                  0.4.4              pyh9f0ad1d_0    conda-forge
 commonmark                0.9.1                      py_0    conda-forge
 cryptography              3.3.1            py37h7f0c10b_1    conda-forge
 cudatoolkit               10.2.89              h6bb024c_0    nvidia
 cudf                      0.19.0a0+83.g7e0437dde1.dirty          pypi_0    pypi
 cudnn                     7.6.5.32             h01f27c4_1    conda-forge
 cupy                      8.4.0            py37hca4e673_1    conda-forge
 cython                    0.29.21          py37hcd2ae1e_2    conda-forge
 cytoolz                   0.11.0           py37h5e8e339_3    conda-forge
 dask                      2021.1.1+20.g996b5066          pypi_0    pypi
 dask-cudf                 branch-0.19-latest-5.g889dc21a4c          pypi_0    pypi
 decorator                 4.4.2                      py_0    conda-forge
 defusedxml                0.6.0                      py_0    conda-forge
 distlib                   0.3.1              pyh9f0ad1d_0    conda-forge
 distributed               2021.1.1+14.ga0d60e7b          pypi_0    pypi
 dlpack                    0.3                  he1b5a44_1    conda-forge
 docutils                  0.16             py37h89c1867_3    conda-forge
 double-conversion         3.1.5                he1b5a44_2    conda-forge
 editdistance              0.5.3            py37hcd2ae1e_3    conda-forge
 entrypoints               0.3             pyhd8ed1ab_1003    conda-forge
 execnet                   1.8.0              pyh44b312d_0    conda-forge
 expat                     2.2.10               h9c3ff4c_0    conda-forge
 fastavro                  1.3.0            py37h5e8e339_0    conda-forge
 fastrlock                 0.5              py37hcd2ae1e_2    conda-forge
 filelock                  3.0.12             pyh9f0ad1d_0    conda-forge
 flake8                    3.8.3                      py_1    conda-forge
 flatbuffers               1.12.0               h58526e2_0    conda-forge
 freetype                  2.10.4               h0708190_1    conda-forge
 fsspec                    0.8.5              pyhd8ed1ab_0    conda-forge
 future                    0.18.2           py37h89c1867_3    conda-forge
 gflags                    2.2.2             he1b5a44_1004    conda-forge
 glog                      0.4.0                h49b9bf7_3    conda-forge
 gmp                       6.2.1                h58526e2_0    conda-forge
 grpc-cpp                  1.35.0               h146f9af_0    conda-forge
 heapdict                  1.0.1                      py_0    conda-forge
 hypothesis                6.1.1              pyhd8ed1ab_0    conda-forge
 icu                       68.1                 h58526e2_0    conda-forge
 identify                  1.5.13             pyh44b312d_0    conda-forge
 idna                      2.10               pyh9f0ad1d_0    conda-forge
 imagesize                 1.2.0                      py_0    conda-forge
 importlib-metadata        3.4.0            py37h89c1867_0    conda-forge
 importlib_metadata        3.4.0                hd8ed1ab_0    conda-forge
 iniconfig                 1.1.1              pyh9f0ad1d_0    conda-forge
 ipykernel                 5.4.2            py37h888b3d9_0    conda-forge
 ipython                   7.20.0           py37h888b3d9_2    conda-forge
 ipython_genutils          0.2.0                      py_1    conda-forge
 isort                     5.0.7            py37hc8dfbb8_0    conda-forge
 jedi                      0.18.0           py37h89c1867_2    conda-forge
 jinja2                    2.11.3             pyh44b312d_0    conda-forge
 jpeg                      9d                   h36c2ea0_0    conda-forge
 jsonschema                3.2.0                      py_2    conda-forge
 jupyter_client            6.1.11             pyhd8ed1ab_1    conda-forge
 jupyter_core              4.7.1            py37h89c1867_0    conda-forge
 jupyterlab_pygments       0.1.2              pyh9f0ad1d_0    conda-forge
 krb5                      1.17.2               h926e7f8_0    conda-forge
 lcms2                     2.11                 hcbb858e_1    conda-forge
 ld_impl_linux-64          2.35.1               hea4e1c9_2    conda-forge
 libblas                   3.9.0                8_openblas    conda-forge
 libcblas                  3.9.0                8_openblas    conda-forge
 libcurl                   7.71.1               hcdd3856_8    conda-forge
 libedit                   3.1.20191231         he28a2e2_2    conda-forge
 libev                     4.33                 h516909a_1    conda-forge
 libevent                  2.1.10               hcdb4288_3    conda-forge
 libffi                    3.3                  h58526e2_2    conda-forge
 libgcc-ng                 9.3.0               h2828fa1_18    conda-forge
 libgfortran-ng            9.3.0               hff62375_18    conda-forge
 libgfortran5              9.3.0               hff62375_18    conda-forge
 libgomp                   9.3.0               h2828fa1_18    conda-forge
 liblapack                 3.9.0                8_openblas    conda-forge
 libllvm10                 10.0.1               he513fc3_3    conda-forge
 libllvm8                  8.0.1                hc9558a2_0    conda-forge
 libnghttp2                1.43.0               h812cca2_0    conda-forge
 libopenblas               0.3.12          pthreads_h4812303_1    conda-forge
 libpng                    1.6.37               h21135ba_2    conda-forge
 libprotobuf               3.14.0               h780b84a_0    conda-forge
 librmm                    0.19.0a210205   cuda10.2_g31604e7_13    rapidsai-nightly
 libsodium                 1.0.18               h36c2ea0_1    conda-forge
 libssh2                   1.9.0                hab1572f_5    conda-forge
 libstdcxx-ng              9.3.0               h6de172a_18    conda-forge
 libthrift                 0.13.0               h5aa387f_6    conda-forge
 libtiff                   4.2.0                hdc55705_0    conda-forge
 libutf8proc               2.6.1                h7f98852_0    conda-forge
 libuv                     1.40.0               h7f98852_0    conda-forge
 libwebp-base              1.2.0                h7f98852_0    conda-forge
 llvmlite                  0.35.0           py37h9d7f4d0_1    conda-forge
 locket                    0.2.0                      py_2    conda-forge
 lz4-c                     1.9.3                h9c3ff4c_0    conda-forge
 markdown                  3.3.3              pyh9f0ad1d_0    conda-forge
 markupsafe                1.1.1            py37h5e8e339_3    conda-forge
 mccabe                    0.6.1                      py_1    conda-forge
 mimesis                   4.0.0              pyh9f0ad1d_0    conda-forge
 mistune                   0.8.4           py37h5e8e339_1003    conda-forge
 more-itertools            8.6.0              pyhd8ed1ab_0    conda-forge
 msgpack-python            1.0.2            py37h2527ec5_1    conda-forge
 mypy                      0.782                      py_0    conda-forge
 mypy_extensions           0.4.3            py37h89c1867_3    conda-forge
 nbclient                  0.5.1                      py_0    conda-forge
 nbconvert                 6.0.7            py37h89c1867_3    conda-forge
 nbformat                  5.1.2              pyhd8ed1ab_1    conda-forge
 nbsphinx                  0.8.1              pyh44b312d_0    conda-forge
 nccl                      2.8.3.1              h1a5f58c_0    conda-forge
 ncurses                   6.2                  h58526e2_4    conda-forge
 nest-asyncio              1.4.3              pyhd8ed1ab_0    conda-forge
 nodeenv                   1.5.0              pyh9f0ad1d_0    conda-forge
 notebook                  6.2.0            py37h89c1867_0    conda-forge
 numba                     0.52.0           py37hdc94413_0    conda-forge
 numpy                     1.19.5           py37haa41c4c_1    conda-forge
 numpydoc                  1.1.0                      py_1    conda-forge
 nvtx                      0.2.3            py37h5e8e339_0    conda-forge
 olefile                   0.46               pyh9f0ad1d_1    conda-forge
 openssl                   1.1.1i               h7f98852_0    conda-forge
 orc                       1.6.7                h7950760_0    conda-forge
 packaging                 20.9               pyh44b312d_0    conda-forge
 pandas                    1.1.5            py37hdc94413_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                     0.8.1              pyhd8ed1ab_0    conda-forge
 partd                     1.1.0                      py_0    conda-forge
 pathspec                  0.8.1              pyhd3deb0d_0    conda-forge
 pexpect                   4.8.0              pyh9f0ad1d_2    conda-forge
 pickleshare               0.7.5                   py_1003    conda-forge
 pillow                    8.1.0            py37he6b4880_1    conda-forge
 pip                       21.0.1             pyhd8ed1ab_0    conda-forge
 pluggy                    0.13.1           py37h89c1867_4    conda-forge
 pre-commit                2.10.0           py37h89c1867_0    conda-forge
 pre_commit                2.10.0               hd8ed1ab_0    conda-forge
 prometheus_client         0.9.0              pyhd3deb0d_0    conda-forge
 prompt-toolkit            3.0.14             pyha770c72_0    conda-forge
 protobuf                  3.14.0           py37hcd2ae1e_1    conda-forge
 psutil                    5.8.0            py37h5e8e339_1    conda-forge
 ptyprocess                0.7.0              pyhd3deb0d_0    conda-forge
 py                        1.10.0             pyhd3deb0d_0    conda-forge
 py-cpuinfo                7.0.0              pyh9f0ad1d_0    conda-forge
 pyarrow                   1.0.1           py37h9267296_28_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                  2.7.4              pyhd8ed1ab_0    conda-forge
 pyopenssl                 20.0.1             pyhd8ed1ab_0    conda-forge
 pyorc                     0.4.0                    pypi_0    pypi
 pyparsing                 2.4.7              pyh9f0ad1d_0    conda-forge
 pyrsistent                0.17.3           py37h5e8e339_2    conda-forge
 pysocks                   1.7.1            py37h89c1867_3    conda-forge
 pytest                    6.2.2            py37h89c1867_0    conda-forge
 pytest-benchmark          3.2.3              pyh9f0ad1d_0    conda-forge
 pytest-forked             1.2.0              pyh9f0ad1d_0    conda-forge
 pytest-xdist              2.2.0              pyhd8ed1ab_0    conda-forge
 python                    3.7.9           hffdb5ce_0_cpython    conda-forge
 python-dateutil           2.8.1                      py_0    conda-forge
 python_abi                3.7                     1_cp37m    conda-forge
 pytz                      2021.1             pyhd8ed1ab_0    conda-forge
 pyyaml                    5.4.1            py37h5e8e339_0    conda-forge
 pyzmq                     22.0.1           py37h499b945_0    conda-forge
 rapidjson                 1.1.0             he1b5a44_1002    conda-forge
 re2                       2020.11.01           h58526e2_0    conda-forge
 readline                  8.0                  he28a2e2_2    conda-forge
 recommonmark              0.7.1              pyhd8ed1ab_0    conda-forge
 regex                     2020.11.13       py37h5e8e339_1    conda-forge
 requests                  2.25.1             pyhd3deb0d_0    conda-forge
 rhash                     1.4.1                h7f98852_0    conda-forge
 rmm                       0.19.0a210205   cuda_10.2_py37_g31604e7_13    rapidsai-nightly
 s2n                       0.10.26              h9b69904_0    conda-forge
 send2trash                1.5.0                      py_0    conda-forge
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Additional context
Surfaced while running fuzz test: #6001
@galipremsagar galipremsagar added bug Something isn't working Needs Triage Need team to review and classify libcudf Affects libcudf (C++/CUDA) code. cuIO cuIO issue labels Feb 9, 2021
@kkraus14 kkraus14 removed the Needs Triage Need team to review and classify label Feb 16, 2021
@rgsl888prabhu rgsl888prabhu self-assigned this Mar 16, 2021
@rgsl888prabhu rgsl888prabhu mentioned this issue Mar 17, 2021
Merged
rapids-bot bot pushed a commit that referenced this issue Mar 22, 2021
@rgsl888prabhu
Fix ORC reader for empty DataFrame/Table (#7624)
8632ca0 
`ff.types` by default will have a [main type as struct](https://github.com/rapidsai/cudf/blob/0146f743987a6f2a51aab08f34771eb4d3531afc/cpp/src/io/orc/writer_impl.cu#L1278) under which all other columns will originate. So, we need to skip first which is not a column and start with 1st index.
(Look for `Type Information` in [ORC Specification](https://orc.apache.org/specification/ORCv1/))
 Along with that, we should also take care of the scenario where user would specify specific column name to retrieve, but it doesn't exist in case of empty data frame/table.

Added test case to validate both scenario. 

closes #7356

Authors:
  - Ram (Ramakrishna Prabhu) (@rgsl888prabhu)

Approvers:
  - Devavret Makkar (@devavret)
  - @nvdbaranec
  - Vukasin Milovanovic (@vuule)
  - Michael Wang (@isVoid)

URL: #7624
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Fix ORC reader for empty DataFrame/Table rgsl888prabhu/cudf
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@kkraus14 @galipremsagar @rgsl888prabhu