In [1]: import cudf
In [2]: df = cudf.DataFrame({"str_col": ["a", "abb", "abc"], "a":[10, 1, 2]}, index=[10, 11, 12])
In [3]: df.to_orc("a", index=True)
In [4]: cudf.read_orc("a")
Out[4]:
str_col a
10 a 10
11 abb 1
12 abc 2
In [5]: cudf.read_orc("a", columns=['a'])
# At this stage metadata has 1 index col + 1 col, but the actual table has only 1 col,
# which leads to the following index error.
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
Cell In [5], line 1
----> 1 cudf.read_orc("a", columns=['a'])
File /nvme/0/pgali/envs/cudfdev/lib/python3.9/site-packages/cudf/io/orc.py:372, in read_orc(filepath_or_buffer, engine, columns, filters, stripes, skiprows, num_rows, use_index, timestamp_type, use_python_file_object, storage_options, bytes_per_thread)
368 stripes = selected_stripes
370 if engine == "cudf":
371 return DataFrame._from_data(
--> 372 *liborc.read_orc(
373 filepaths_or_buffers,
374 columns,
375 stripes,
376 skiprows,
377 num_rows,
378 use_index,
379 timestamp_type,
380 )
381 )
382 else:
384 def read_orc_stripe(orc_file, stripe, columns):
File orc.pyx:92, in cudf._lib.orc.read_orc()
File orc.pyx:138, in cudf._lib.orc.read_orc()
File utils.pyx:309, in cudf._lib.utils.data_from_unique_ptr()
IndexError: list index out of range
In [6]: df.to_orc("a", index=False)
In [7]: cudf.read_orc("a", columns=['a'])
Out[7]:
a
0 10
1 1
2 2
Expected behavior
Orc reader needs to behave like parquet reader where the index columns are read always irrespective of if their name is present in columns
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
galipremsagar
commented
1 year ago
Describe the bug When an orc file consists of index columns, the reader seems to ignore reading the index columns if their name isn't in
columns.Required to reproduce: Changes in https://github.com/rapidsai/cudf/pull/12025/
Steps/Code to reproduce bug
Expected behavior Orc reader needs to behave like parquet reader where the index columns are read always irrespective of if their name is present in
columnsEnvironment overview (please complete the following information)
Environment details Please run and paste the output of the
cudf/print_env.shscript here, to gather any other relevant environment detailsClick here to see environment details
**git*** commit 99d5da156afdb3d8008ea67faedd884225f808db (HEAD -> 11780, origin/11780) Author: galipremsagar
Date: Fri Oct 28 13:39:58 2022 -0700
refactor
**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***
Fri Oct 28 14:03:21 2022
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 495.29.05 Driver Version: 495.29.05 CUDA Version: 11.5 |
|-------------------------------+----------------------+----------------------+
| 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 Tesla T4 On | 00000000:3B:00.0 Off | 0 |
| N/A 49C P0 27W / 70W | 6444MiB / 15109MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 1 Tesla T4 On | 00000000:5E:00.0 Off | 0 |
| N/A 38C P8 9W / 70W | 3MiB / 15109MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 2 Tesla T4 On | 00000000:AF:00.0 Off | 0 |
| N/A 30C P8 9W / 70W | 3MiB / 15109MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 3 Tesla T4 On | 00000000:D8:00.0 Off | 0 |
| N/A 30C P8 9W / 70W | 3MiB / 15109MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
+-----------------------------------------------------------------------------+
***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: 3425.591
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 3.24.2
CMake suite maintained and supported by Kitware (kitware.com/cmake).
***g++***
/nvme/0/pgali/envs/cudfdev/bin/g++
g++ (conda-forge gcc 9.5.0-19) 9.5.0
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***
/nvme/0/pgali/envs/cudfdev/bin/nvcc
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Mon_Sep_13_19:13:29_PDT_2021
Cuda compilation tools, release 11.5, V11.5.50
Build cuda_11.5.r11.5/compiler.30411180_0
***Python***
/nvme/0/pgali/envs/cudfdev/bin/python
Python 3.9.13
***Environment Variables***
PATH : /nvme/0/pgali/envs/cudfdev/bin:/nvme/0/pgali/anaconda3/bin:/nvme/0/pgali/.cargo/bin:/home/nfs/pgali/.vscode-server/bin/d045a5eda657f4d7b676dedbfa7aab8207f8a075/bin/remote-cli:/nvme/0/pgali/.cargo/bin:/nvme/0/pgali/envs/cudfdev/bin:/nvme/0/pgali/envs/myenv/condabin:/nvme/0/pgali/.cargo/bin:/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/lib64:/usr/local/cuda/extras/CUPTI/lib64
NUMBAPRO_NVVM :
NUMBAPRO_LIBDEVICE :
CONDA_PREFIX : /nvme/0/pgali/envs/cudfdev
PYTHON_PATH :
***conda packages***
/nvme/0/pgali/anaconda3/bin/conda
# packages in environment at /nvme/0/pgali/envs/cudfdev:
#
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nbformat 5.7.0 pyhd8ed1ab_0 conda-forge
nbsphinx 0.8.9 pyhd8ed1ab_0 conda-forge
nccl 2.14.3.1 h0800d71_0 conda-forge
ncurses 6.3 h27087fc_1 conda-forge
nest-asyncio 1.5.6 pyhd8ed1ab_0 conda-forge
networkx 2.8.7 pyhd8ed1ab_0 conda-forge
ninja 1.11.0 h924138e_0 conda-forge
nodeenv 1.7.0 pyhd8ed1ab_0 conda-forge
notebook 6.5.1 pyha770c72_0 conda-forge
notebook-shim 0.2.0 pyhd8ed1ab_0 conda-forge
numba 0.56.3 py39h61ddf18_0 conda-forge
numpy 1.23.4 py39h3d75532_1 conda-forge
numpydoc 1.5.0 pyhd8ed1ab_0 conda-forge
nvcc_linux-64 11.5 h44f499b_21 conda-forge
nvtx 0.2.3 py39h3811e60_1 conda-forge
openapi-schema-validator 0.2.3 pyhd8ed1ab_0 conda-forge
openapi-spec-validator 0.4.0 pyhd8ed1ab_1 conda-forge
openjpeg 2.5.0 h7d73246_1 conda-forge
openssl 1.1.1q h166bdaf_1 conda-forge
orc 1.7.5 h6c59b99_0 conda-forge
packaging 21.3 pyhd8ed1ab_0 conda-forge
pandas 1.5.1 py39h4661b88_1 conda-forge
pandoc 1.19.2 0 conda-forge
pandocfilters 1.5.0 pyhd8ed1ab_0 conda-forge
paramiko 2.11.0 pyhd8ed1ab_0 conda-forge
parquet-cpp 1.5.1 2 conda-forge
parso 0.8.3 pyhd8ed1ab_0 conda-forge
partd 1.3.0 pyhd8ed1ab_0 conda-forge
pbr 5.11.0 pyhd8ed1ab_0 conda-forge
pexpect 4.8.0 pyh9f0ad1d_2 conda-forge
pickleshare 0.7.5 py_1003 conda-forge
pillow 9.2.0 py39hf3a2cdf_3 conda-forge
pip 22.3 pyhd8ed1ab_0 conda-forge
platformdirs 2.5.2 pyhd8ed1ab_1 conda-forge
pluggy 1.0.0 py39hf3d152e_4 conda-forge
pre-commit 2.20.0 py39hf3d152e_0 conda-forge
prometheus_client 0.15.0 pyhd8ed1ab_0 conda-forge
prompt-toolkit 3.0.31 pyha770c72_0 conda-forge
protobuf 3.20.1 py39h5a03fae_0 conda-forge
psutil 5.9.3 py39hb9d737c_1 conda-forge
pthread-stubs 0.4 h36c2ea0_1001 conda-forge
ptxcompiler 0.7.0 cuda_11_py39_gb86c990_1 rapidsai-nightly
ptyprocess 0.7.0 pyhd3deb0d_0 conda-forge
pure_eval 0.2.2 pyhd8ed1ab_0 conda-forge
py-cpuinfo 9.0.0 pyhd8ed1ab_0 conda-forge
pyarrow 9.0.0 py39h58137f1_1_cpu conda-forge
pyasn1 0.4.8 py_0 conda-forge
pycparser 2.21 pyhd8ed1ab_0 conda-forge
pydata-sphinx-theme 0.11.0 pyhd8ed1ab_1 conda-forge
pygments 2.13.0 pyhd8ed1ab_0 conda-forge
pynacl 1.5.0 py39hb9d737c_2 conda-forge
pynvml 11.4.1 pyhd8ed1ab_0 conda-forge
pyopenssl 22.1.0 pyhd8ed1ab_0 conda-forge
pyorc 0.7.0 py39h3720fd5_0 conda-forge
pyparsing 3.0.9 pyhd8ed1ab_0 conda-forge
pyrsistent 0.18.1 py39hb9d737c_2 conda-forge
pysocks 1.7.1 pyha2e5f31_6 conda-forge
pytest 7.2.0 py39hf3d152e_1 conda-forge
pytest-benchmark 4.0.0 pyhd8ed1ab_0 conda-forge
pytest-cases 3.6.13 pyhd8ed1ab_0 conda-forge
pytest-xdist 3.0.2 pyhd8ed1ab_0 conda-forge
python 3.9.13 h9a8a25e_0_cpython conda-forge
python-confluent-kafka 1.7.0 py39h3811e60_2 conda-forge
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python-fastjsonschema 2.16.2 pyhd8ed1ab_0 conda-forge
python-jose 3.3.0 pyh6c4a22f_1 conda-forge
python-snappy 0.6.0 py39he8e2bb5_2 conda-forge
python_abi 3.9 2_cp39 conda-forge
pytorch 1.11.0 cuda112py39ha0cca9b_202 conda-forge
pytz 2022.5 pyhd8ed1ab_0 conda-forge
pywin32-on-windows 0.1.0 pyh1179c8e_3 conda-forge
pyyaml 6.0 py39hb9d737c_5 conda-forge
pyzmq 24.0.1 py39headdf64_1 conda-forge
rapidjson 1.1.0 he1b5a44_1002 conda-forge
re2 2022.06.01 h27087fc_0 conda-forge
readline 8.1.2 h0f457ee_0 conda-forge
recommonmark 0.7.1 pyhd8ed1ab_0 conda-forge
regex 2022.9.13 py39hb9d737c_1 conda-forge
requests 2.28.1 pyhd8ed1ab_1 conda-forge
responses 0.21.0 pyhd8ed1ab_0 conda-forge
rhash 1.4.3 h166bdaf_0 conda-forge
rmm 22.12.00a221026 cuda11_py39_g4de6eeca_43 rapidsai-nightly
rsa 4.9 pyhd8ed1ab_0 conda-forge
s2n 1.0.10 h9b69904_0 conda-forge
s3fs 2022.10.0 pyhd8ed1ab_0 conda-forge
s3transfer 0.6.0 pyhd8ed1ab_0 conda-forge
sacremoses 0.0.53 pyhd8ed1ab_0 conda-forge
sarif-om 1.0.4 pyhd8ed1ab_0 conda-forge
scikit-build 0.15.0 pyhb871ab6_0 conda-forge
scipy 1.9.3 py39hddc5342_1 conda-forge
sed 4.8 he412f7d_0 conda-forge
send2trash 1.8.0 pyhd8ed1ab_0 conda-forge
setuptools 65.5.0 pyhd8ed1ab_0 conda-forge
six 1.16.0 pyh6c4a22f_0 conda-forge
sleef 3.5.1 h9b69904_2 conda-forge
snappy 1.1.9 hbd366e4_1 conda-forge
sniffio 1.3.0 pyhd8ed1ab_0 conda-forge
snowballstemmer 2.2.0 pyhd8ed1ab_0 conda-forge
sortedcontainers 2.4.0 pyhd8ed1ab_0 conda-forge
soupsieve 2.3.2.post1 pyhd8ed1ab_0 conda-forge
spdlog 1.8.5 h4bd325d_1 conda-forge
sphinx 5.3.0 pyhd8ed1ab_0 conda-forge
sphinx-autobuild 2021.3.14 pyhd8ed1ab_0 conda-forge
sphinx-copybutton 0.5.0 pyhd8ed1ab_0 conda-forge
sphinx-markdown-tables 0.0.17 pyh6c4a22f_0 conda-forge
sphinxcontrib-applehelp 1.0.2 py_0 conda-forge
sphinxcontrib-devhelp 1.0.2 py_0 conda-forge
sphinxcontrib-htmlhelp 2.0.0 pyhd8ed1ab_0 conda-forge
sphinxcontrib-jsmath 1.0.1 py_0 conda-forge
sphinxcontrib-qthelp 1.0.3 py_0 conda-forge
sphinxcontrib-serializinghtml 1.1.5 pyhd8ed1ab_2 conda-forge
sphinxcontrib-websupport 1.2.4 pyhd8ed1ab_1 conda-forge
sqlalchemy 1.4.42 py39hb9d737c_1 conda-forge
sqlite 3.39.4 h4ff8645_0 conda-forge
sshpubkeys 3.3.1 pyhd8ed1ab_0 conda-forge
stack_data 0.5.1 pyhd8ed1ab_0 conda-forge
streamz 0.6.4 pyh6c4a22f_0 conda-forge
strings-udf 22.12.0a0+202.g05824fff6b pypi_0 pypi
sysroot_linux-64 2.17 h4a8ded7_13 conda-forge
tabulate 0.9.0 pyhd8ed1ab_1 conda-forge
tblib 1.7.0 pyhd8ed1ab_0 conda-forge
terminado 0.17.0 pyh41d4057_0 conda-forge
tinycss2 1.2.1 pyhd8ed1ab_0 conda-forge
tk 8.6.12 h27826a3_0 conda-forge
tokenizers 0.10.3 py39hd6d55de_1 conda-forge
toml 0.10.2 pyhd8ed1ab_0 conda-forge
tomli 2.0.1 pyhd8ed1ab_0 conda-forge
toolz 0.12.0 pyhd8ed1ab_0 conda-forge
tornado 6.1 py39hb9d737c_3 conda-forge
tqdm 4.64.1 pyhd8ed1ab_0 conda-forge
traitlets 5.5.0 pyhd8ed1ab_0 conda-forge
transformers 4.10.3 pyhd8ed1ab_0 conda-forge
typing-extensions 4.4.0 hd8ed1ab_0 conda-forge
typing_extensions 4.4.0 pyha770c72_0 conda-forge
tzdata 2022e h191b570_0 conda-forge
ukkonen 1.0.1 py39hf939315_2 conda-forge
urllib3 1.26.11 pyhd8ed1ab_0 conda-forge
virtualenv 20.16.5 py39hf3d152e_1 conda-forge
wcwidth 0.2.5 pyh9f0ad1d_2 conda-forge
webencodings 0.5.1 py_1 conda-forge
websocket-client 1.4.1 pyhd8ed1ab_0 conda-forge
werkzeug 2.1.2 pyhd8ed1ab_1 conda-forge
wheel 0.37.1 pyhd8ed1ab_0 conda-forge
wrapt 1.14.1 py39hb9d737c_1 conda-forge
xmltodict 0.13.0 pyhd8ed1ab_0 conda-forge
xorg-libxau 1.0.9 h7f98852_0 conda-forge
xorg-libxdmcp 1.1.3 h7f98852_0 conda-forge
xz 5.2.6 h166bdaf_0 conda-forge
yaml 0.2.5 h7f98852_2 conda-forge
yarl 1.8.1 py39hb9d737c_0 conda-forge
zeromq 4.3.4 h9c3ff4c_1 conda-forge
zict 2.2.0 pyhd8ed1ab_0 conda-forge
zipp 3.10.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.13 h166bdaf_4 conda-forge
zstd 1.5.2 h6239696_4 conda-forge
Additional context This issue surfaced while I was working on: https://github.com/rapidsai/cudf/pull/12025/