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[BUG] Data Corruption in columns by orc reader when skiprows is specified #7343

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galipremsagar opened this issue Feb 8, 2021 · 5 comments
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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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galipremsagar commented Feb 8, 2021

Describe the bug
When an orc file contains multiple column types, and skiprows is specified, then the data of some columns seem to be corrupted.

Steps/Code to reproduce bug

ORC file:(Please remove .zip at the end, added to bypass GitHub attachment restrictions)orc_bool_bug.orc.zip

>>> cudf.read_orc('orc_bool_bug.orc', columns=['7', '8'])
         7      8
0   -32000   <NA>
1    17849  False
2   -18505  False        # <-See this(Correct)
3   -32000   <NA>
4   -32362   True
5    19430  False
6   -32362  False
7   -32000   True
8   -32362   True
9     <NA>  False
10  -20941  False
11  -18505   True
12   30390   True
13  -18505   <NA>
14   -6835  False
15   19430  False
16  -18505   True
17  -32000   True
18    <NA>   <NA>
19  -13229  False
20  -32362   True
21   28688  False
22    <NA>  False
23    7450  False
24   12905   True
25   17849  False
26  -13229   True
>>> cudf.read_orc('orc_bool_bug.orc', columns=['7', '8'], skiprows=2)
         7      8
0   -18505   True       # <-See this(In-correct)
1   -32000   <NA>
2   -32362  False
3    19430  False
4   -32362   True
5   -32000   True
6   -32362  False
7     <NA>  False
8   -20941   True
9   -18505   True
10   30390  False
11  -18505   <NA>
12   -6835  False
13   19430   True
14  -18505   True
15  -32000  False
16    <NA>   <NA>
17  -13229   True
18  -32362  False
19   28688  False
20    <NA>  False
21    7450   True
22   12905  False
23   17849   True
24  -13229  False

Expected behavior
If we compare the first dataframe and second dataframe, the corresponding boolean column value for -18505 is False.

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 eb8dc88a9b380a1ab97f495aa589a8c894a31d88 (HEAD -> pyorc_fuzz_fix, upstream/branch-0.19)
 Author: nvdbaranec <[email protected]>
 Date:   Mon Feb 8 09:45:10 2021 -0600
 
 Change block size parameter from a global to a template param. (#7333)
 
 Addresses followup review comment:  https://github.com/rapidsai/cudf/pull/7096#discussion_r568704873
 
 There was a constexpr global being used to initialize a template that could have been supplied from it's own template value.
 
 Authors:
 - @nvdbaranec
 
 Approvers:
 - David (@davidwendt)
 - Jake Hemstad (@jrhemstad)
 
 URL: https://github.com/rapidsai/cudf/pull/7333
 **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***
 Mon Feb  8 12:59:46 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   50C    P0    27W /  70W |    660MiB / 15109MiB |      0%      Default |
 +-------------------------------+----------------------+----------------------+
 |   1  Tesla T4            On   | 00000000:5E:00.0 Off |                    0 |
 | N/A   37C    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    11W /  70W |     11MiB / 15109MiB |      0%      Default |
 +-------------------------------+----------------------+----------------------+
 
 +-----------------------------------------------------------------------------+
 | Processes:                                                       GPU Memory |
 |  GPU       PID   Type   Process name                             Usage      |
 |=============================================================================|
 |    0     47703      C   python                                       649MiB |
 +-----------------------------------------------------------------------------+
 
 ***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:             2890.499
 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:/usr/local/cuda/bin:/nvme/0/pgali/envs/cudfdev/bin
 LD_LIBRARY_PATH                 : /usr/local/cuda/lib64:/usr/local/cuda/lib64::/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/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+85.geb8dc88a9b.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-2.g621de88c2a.dirty          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
 setuptools                49.6.0           py37h89c1867_3    conda-forge
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 snappy                    1.1.8                he1b5a44_3    conda-forge
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 tk                        8.6.10               h21135ba_1    conda-forge
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 tornado                   6.1              py37h5e8e339_1    conda-forge
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 webencodings              0.5.1                      py_1    conda-forge
 wheel                     0.36.2             pyhd3deb0d_0    conda-forge
 xz                        5.2.5                h516909a_1    conda-forge
 yaml                      0.2.5                h516909a_0    conda-forge
 zeromq                    4.3.4                h9c3ff4c_0    conda-forge
 zict                      2.0.0                      py_0    conda-forge
 zipp                      3.4.0                      py_0    conda-forge
 zlib                      1.2.11            h516909a_1010    conda-forge
 zstd                      1.4.8                ha95c52a_1    conda-forge

Additional context
Surfaced while running fuzz tests: #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 8, 2021
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cc: @rgsl888prabhu @vuule @kkraus14

@galipremsagar galipremsagar changed the title [BUG] Data Corruption in boolean column of orc reader when skiprows is specified [BUG] Data Corruption in boolean column by orc reader when skiprows is specified Feb 8, 2021
@rgsl888prabhu
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rgsl888prabhu commented Feb 8, 2021

@galipremsagar How the test file orc_bool_bug.orc.zip has been created ?

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@galipremsagar How the test file orc_bool_bug.orc.zip has been created ?

using pyorc

@rgsl888prabhu rgsl888prabhu self-assigned this Feb 8, 2021
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galipremsagar commented Feb 8, 2021

@rgsl888prabhu This doesn't seem to be just specific to bool column, it appears to be happening in case of an int column too. For example:

orc_int_bug.orc.zip (Remove .zip)

(Pdb) cudf.read_orc('orc_int_bug.orc')
        0            1                     2
0    <NA>  -2039474302   5829562885553925120
1    <NA>   -851478164   5829562885553925120
2    <NA>   1815327551   -985824069601317760
3    <NA>  -1033368904   6290216132129532928
4    <NA>   1403224887   5829562885553925120
5   False    105022598  -3316202600110668288
6    <NA>    255779779  -3670875956966439424
7    <NA>  -1364605221   5138853157892062208
8    <NA>   -990224089  -3316202600110668288
9   False  -1024409087   5829562885553925120
10   <NA>  -1625037941   -985824069601317760
11   <NA>         <NA>  -3670875956966439424
12   True  -1658974646   -985824069601317760
13   <NA>   -556027779   6178433988546542592
14   <NA>   -238654423  -3316202600110668288
15   <NA>   -128398233   5829562885553925120
16   <NA>    987032885   6178433988546542592
17   <NA>         <NA>   6290216132129532928
18   <NA>   1117133010   6178433988546542592
19   <NA>         <NA>   5829562885553925120
20   <NA>   -267043327   5138853157892062208
21   <NA>   -690910650   5829562885553925120
22   <NA>  -1658974646   5138853157892062208
23   <NA>  -2039474302  -3670875956966439424
24   <NA>    987032885   -985824069601317760
25   <NA>         <NA>   6178433988546542592
26   <NA>   -959282444   6178433988546542592
27   <NA>  -1744623531  -3670875956966439424
28   <NA>   -462848453  -3670875956966439424
29   <NA>  -1731261747  -3316202600110668288
30   <NA>    104134845  -3670875956966439424
31   <NA>  -1167141929  -3670875956966439424
32   <NA>  -1337529137   5829562885553925120
33   <NA>         <NA>   6178433988546542592
34   <NA>   -542285268   5829562885553925120
35   <NA>  -1671290850  -3316202600110668288
36   <NA>  -1675605997   6290216132129532928
37   <NA>    491158244   -985824069601317760
38   <NA>   -621336100   5829562885553925120
39   <NA>         <NA>   -985824069601317760
40   <NA>    829987561   5829562885553925120
41   <NA>         <NA>   -985824069601317760
42   <NA>    104134845  -3316202600110668288
43   True  -1097769038  -3670875956966439424
44   <NA>    -60427301   6290216132129532928
45   <NA>    987032885                  <NA>
46   <NA>   -959282444   6290216132129532928
47   <NA>   -851478164   -985824069601317760
48   <NA>   1815327551   5138853157892062208
49   <NA>   -113330593   6290216132129532928
50   <NA>         <NA>   6178433988546542592
51   <NA>         <NA>  -3670875956966439424
52   <NA>   -128398233   6290216132129532928
(Pdb) cudf.read_orc('orc_int_bug.orc', skiprows=44)
      0           1                     2
0  <NA>   987032885  -3670875956966439424
1  <NA>  -959282444                  <NA>
2  <NA>  -851478164   6290216132129532928
3  <NA>  1815327551   6290216132129532928
4  <NA>  -113330593   -985824069601317760
5  <NA>  -128398233   5138853157892062208
6  <NA>        <NA>   6290216132129532928
7  <NA>        <NA>   6178433988546542592
8  <NA>         184  -3670875956966439424

@galipremsagar galipremsagar changed the title [BUG] Data Corruption in boolean column by orc reader when skiprows is specified [BUG] Data Corruption in columns by orc reader when skiprows is specified Feb 8, 2021
rapids-bot bot pushed a commit that referenced this issue Feb 15, 2021
closes #7343

The validity bits in streams are placed msb to lsb in a byte, [True, False, True. False. True, True, True, False] -> 10101110.
So, when it is being analyzed as 32 bit chunk, we can't apply mask directly, which caused this issue. `__brev(__byte_perm(bits, 0, 0x0123)) ` takes care of that issue and rearranges the bits as per the expectation.

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

Approvers:
  - GALI PREM SAGAR (@galipremsagar)
  - Vukasin Milovanovic (@vuule)

URL: #7359
@kkraus14 kkraus14 removed the Needs Triage Need team to review and classify label Feb 16, 2021
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vuule commented Mar 11, 2021

#7359 was supposed to close this issue. closing manually

@vuule vuule closed this as completed Mar 11, 2021
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