[BUG] Specifying out-of-range column index for `usecols` in `read_csv()` causes illegal memory access
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Description
**Describe the bug**
When specifying an out of range column index for `usecols` when using `read_csv()` (e.g. `usecols=[2]` for a 2 column CSV file), an illegal memory access occurs - this can sometimes lead to segfault.
**Steps/Code to reproduce bug**
Follow this guide http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports to craft a minimal bug report. This helps us reproduce the issue you're having and resolve the issue more quickly.
```python
import cudf
filename = 'foo.csv'
lines = [
"num,text",
"123,abc",
"456,def",
"789,ghi"
]
with open(filename, 'w') as fp:
fp.write('\n'.join(lines)+'\n')
cudf.read_csv(filename, usecols=[2])
```
```
MemoryError Traceback (most recent call last)
in
----> 1 cudf.read_csv(filename, usecols=[100])
~/compose/etc/conda/cuda_11.2/envs/rapids/lib/python3.8/contextlib.py in inner(*args, **kwds)
73 def inner(*args, **kwds):
74 with self._recreate_cm():
---> 75 return func(*args, **kwds)
76 return inner
77
~/cudf/python/cudf/cudf/io/csv.py in read_csv(filepath_or_buffer, lineterminator, quotechar, quoting, doublequote, header, mangle_dupe_cols, usecols, sep, delimiter, delim_whitespace, skipinitialspace, names, dtype, skipfooter, skiprows, dayfirst, compression, thousands, decimal, true_values, false_values, nrows, byte_range, skip_blank_lines, parse_dates, comment, na_values, keep_default_na, na_filter, prefix, index_col, **kwargs)
68 na_values = [na_values]
69
---> 70 return libcudf.csv.read_csv(
71 filepath_or_buffer,
72 lineterminator=lineterminator,
~/cudf/python/cudf/cudf/_lib/csv.pyx in cudf._lib.csv.read_csv()
392 cdef table_with_metadata c_result
393 with nogil:
--> 394 c_result = move(cpp_read_csv(read_csv_options_c))
395
396 meta_names = [name.decode() for name in c_result.metadata.column_names]
MemoryError: std::bad_alloc: CUDA error at: ../include/rmm/mr/device/cuda_memory_resource.hpp:69: cudaErrorIllegalAddress an illegal memory access was encountered
```
**Expected behavior**
I would expect a `ValueError`, similar to what Pandas throws in the same scenario:
```
ValueError Traceback (most recent call last)
in
----> 1 pd.read_csv(filename, usecols=[2])
~/compose/etc/conda/cuda_11.2/envs/rapids/lib/python3.8/site-packages/pandas/io/parsers.py in read_csv(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, dialect, error_bad_lines, warn_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)
608 kwds.update(kwds_defaults)
609
--> 610 return _read(filepath_or_buffer, kwds)
611
612
~/compose/etc/conda/cuda_11.2/envs/rapids/lib/python3.8/site-packages/pandas/io/parsers.py in _read(filepath_or_buffer, kwds)
460
461 # Create the parser.
--> 462 parser = TextFileReader(filepath_or_buffer, **kwds)
463
464 if chunksize or iterator:
~/compose/etc/conda/cuda_11.2/envs/rapids/lib/python3.8/site-packages/pandas/io/parsers.py in __init__(self, f, engine, **kwds)
817 self.options["has_index_names"] = kwds["has_index_names"]
818
--> 819 self._engine = self._make_engine(self.engine)
820
821 def close(self):
~/compose/etc/conda/cuda_11.2/envs/rapids/lib/python3.8/site-packages/pandas/io/parsers.py in _make_engine(self, engine)
1048 )
1049 # error: Too many arguments for "ParserBase"
-> 1050 return mapping[engine](self.f, **self.options) # type: ignore[call-arg]
1051
1052 def _failover_to_python(self):
~/compose/etc/conda/cuda_11.2/envs/rapids/lib/python3.8/site-packages/pandas/io/parsers.py in __init__(self, src, **kwds)
1932
1933 if len(self.names) < len(usecols):
-> 1934 _validate_usecols_names(usecols, self.names)
1935
1936 self._validate_parse_dates_presence(self.names)
~/compose/etc/conda/cuda_11.2/envs/rapids/lib/python3.8/site-packages/pandas/io/parsers.py in _validate_usecols_names(usecols, names)
1160 missing = [c for c in usecols if c not in names]
1161 if len(missing) > 0:
-> 1162 raise ValueError(
1163 f"Usecols do not match columns, columns expected but not found: {missing}"
1164 )
ValueError: Usecols do not match columns, columns expected but not found: [2]
```
**Environment overview (please complete the following information)**
- Environment location: dgx12
- Method of cuDF install: from source
**Environment details**
Click here to see environment details
**git***
commit 7d892d11736a6cfb0d4bd6109cbe72570379aa02 (HEAD -> branch-21.10, upstream/branch-21.10, origin/branch-21.10, origin/HEAD)
Author: Ashwin Srinath <3190405+shwina@users.noreply.github.com>
Date: Tue Aug 10 14:19:23 2021 -0400
Add groupby first and last aggregations (#9004)
Authors:
- Ashwin Srinath (https://github.com/shwina)
Approvers:
- Sheilah Kirui (https://github.com/skirui-source)
- Christopher Harris (https://github.com/cwharris)
- Richard (Rick) Zamora (https://github.com/rjzamora)
URL: https://github.com/rapidsai/cudf/pull/9004
**git submodules***
***OS Information***
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DISTRIB_RELEASE=18.04
DISTRIB_CODENAME=bionic
DISTRIB_DESCRIPTION="Ubuntu 18.04.5 LTS"
NAME="Ubuntu"
VERSION="18.04.5 LTS (Bionic Beaver)"
ID=ubuntu
ID_LIKE=debian
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***GPU Information***
Wed Aug 11 10:01:00 2021
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 460.39 Driver Version: 460.39 CUDA Version: 11.2 |
|-------------------------------+----------------------+----------------------+
| 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 V100-SXM2... On | 00000000:06:00.0 Off | 0 |
| N/A 33C P0 55W / 300W | 2804MiB / 32510MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 1 Tesla V100-SXM2... On | 00000000:07:00.0 Off | 0 |
| N/A 33C P0 57W / 300W | 818MiB / 32510MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 2 Tesla V100-SXM2... On | 00000000:0A:00.0 Off | 0 |
| N/A 28C P0 41W / 300W | 3MiB / 32510MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 3 Tesla V100-SXM2... On | 00000000:0B:00.0 Off | 0 |
| N/A 28C P0 41W / 300W | 3MiB / 32510MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 4 Tesla V100-SXM2... On | 00000000:85:00.0 Off | 0 |
| N/A 30C P0 42W / 300W | 3MiB / 32510MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 5 Tesla V100-SXM2... On | 00000000:86:00.0 Off | 0 |
| N/A 30C P0 41W / 300W | 3MiB / 32510MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 6 Tesla V100-SXM2... On | 00000000:89:00.0 Off | 0 |
| N/A 32C P0 43W / 300W | 3MiB / 32510MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 7 Tesla V100-SXM2... On | 00000000:8A:00.0 Off | 0 |
| N/A 29C P0 41W / 300W | 3MiB / 32510MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
+-----------------------------------------------------------------------------+
***CPU***
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CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
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/raid/charlesb/dev/rapids/compose/etc/conda/cuda_11.2/envs/rapids/bin/cmake
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This is free software; see the source for copying conditions. There is NO
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***nvcc***
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Cuda compilation tools, release 11.2, V11.2.152
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***conda packages***
/raid/charlesb/dev/rapids/compose/etc/conda/cuda_11.2/condabin/conda
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prometheus_client 0.11.0 pyhd8ed1ab_0 conda-forge
prompt-toolkit 3.0.19 pyha770c72_0 conda-forge
protobuf 3.16.0 py38h709712a_0 conda-forge
psutil 5.8.0 py38h497a2fe_1 conda-forge
ptvsd 4.3.2 pypi_0 pypi
ptyprocess 0.7.0 pyhd3deb0d_0 conda-forge
py 1.10.0 pyhd3deb0d_0 conda-forge
py-cpuinfo 8.0.0 pyhd8ed1ab_0 conda-forge
pyarrow 4.0.1 py38hb53058b_4_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 2.9.0 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 py38h497a2fe_2 conda-forge
pysocks 1.7.1 py38h578d9bd_3 conda-forge
pytest 6.2.4 py38h578d9bd_0 conda-forge
pytest-benchmark 3.4.1 pyhd8ed1ab_0 conda-forge
pytest-forked 1.3.0 pyhd3deb0d_0 conda-forge
pytest-xdist 2.3.0 pyhd8ed1ab_0 conda-forge
python 3.8.10 h49503c6_1_cpython conda-forge
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python_abi 3.8 2_cp38 conda-forge
pytorch 1.9.0 cpu_py38h91ab35c_0 conda-forge
pytz 2021.1 pyhd8ed1ab_0 conda-forge
pyyaml 5.4.1 py38h497a2fe_0 conda-forge
pyzmq 22.1.0 py38h2035c66_0 conda-forge
rapidjson 1.1.0 he1b5a44_1002 conda-forge
re2 2021.06.01 h9c3ff4c_0 conda-forge
readline 8.1 h46c0cb4_0 conda-forge
recommonmark 0.7.1 pyhd8ed1ab_0 conda-forge
regex 2021.7.6 py38h497a2fe_0 conda-forge
requests 2.26.0 pyhd8ed1ab_0 conda-forge
rhash 1.4.1 h7f98852_0 conda-forge
s2n 1.0.10 h9b69904_0 conda-forge
sacremoses 0.0.43 pyh9f0ad1d_0 conda-forge
send2trash 1.7.1 pyhd8ed1ab_0 conda-forge
setuptools 49.6.0 py38h578d9bd_3 conda-forge
six 1.16.0 pyh6c4a22f_0 conda-forge
sleef 3.5.1 h7f98852_1 conda-forge
snappy 1.1.8 he1b5a44_3 conda-forge
snowballstemmer 2.1.0 pyhd8ed1ab_0 conda-forge
sortedcontainers 2.4.0 pyhd8ed1ab_0 conda-forge
spdlog 1.8.5 h4bd325d_0 conda-forge
sphinx 4.1.2 pyh6c4a22f_1 conda-forge
sphinx-copybutton 0.4.0 pyhd8ed1ab_0 conda-forge
sphinx-markdown-tables 0.0.15 pyhd3deb0d_0 conda-forge
sphinx_rtd_theme 0.5.2 pyhd8ed1ab_1 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_0 conda-forge
sphinxcontrib-websupport 1.2.4 pyh9f0ad1d_0 conda-forge
sqlite 3.36.0 h9cd32fc_0 conda-forge
streamz 0.6.2 pyh44b312d_0 conda-forge
tblib 1.7.0 pyhd8ed1ab_0 conda-forge
terminado 0.10.1 py38h578d9bd_0 conda-forge
testpath 0.5.0 pyhd8ed1ab_0 conda-forge
tk 8.6.10 h21135ba_1 conda-forge
tokenizers 0.10.1 py38hb63a372_0 conda-forge
toml 0.10.2 pyhd8ed1ab_0 conda-forge
toolz 0.11.1 py_0 conda-forge
tornado 6.1 py38h497a2fe_1 conda-forge
tqdm 4.61.2 pyhd8ed1ab_1 conda-forge
traitlets 5.0.5 py_0 conda-forge
transformers 4.9.0 pyhd8ed1ab_0 conda-forge
typed-ast 1.4.3 py38h497a2fe_0 conda-forge
typing-extensions 3.10.0.0 hd8ed1ab_0 conda-forge
typing_extensions 3.10.0.0 pyha770c72_0 conda-forge
urllib3 1.26.6 pyhd8ed1ab_0 conda-forge
virtualenv 20.4.7 py38h578d9bd_0 conda-forge
wcwidth 0.2.5 pyh9f0ad1d_2 conda-forge
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 3.5.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.11 h516909a_1010 conda-forge
zstd 1.5.0 ha95c52a_0 conda-forge
**Additional context**
I encountered this bug while looking into #8973
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