jiale0402 opened a new issue, #38878:
URL: https://github.com/apache/arrow/issues/38878
### Describe the usage question you have. Please include as many useful
details as possible.
platform:
`NAME="Ubuntu"
VERSION="23.04 (Lunar Lobster)"`
pyarrow version:
`pyarrow 14.0.1`
`pyarrow-hotfix 0.5 `
python version:
`Python 3.11.4 (main, Jun 9 2023, 07:59:55) [GCC 12.3.0] on linux`
I have a very large single column csv file (about 63 million rows). I was
hoping to create a lazy file streamer that reads one entry from the csv file at
a time. I know each entry in my file has a length of 12 chars, so I tried
setting block size to 13 (+1 for \n) with the pyarrow.csv.open_csv function.
`import pyarrow.csv as csv`
`c_options = csv.ConvertOptions(column_types={'dne': pa.float32()})`
`r_options = csv.ReadOptions(skip_rows_after_names=8200,use_threads=True,
column_names=["dne"],block_size=13)`
`stream = csv.open_csv(file, convert_options = c_options,
read_options = r_options
)`
this code functions properly as expected, but when i change the
`skip_rows_after_names` param of read options to 8300 I start to get
segmentation faults. How to fix this (or am I using it wrong)? I want to be
able to use only a portion of at (like from row 98885 to 111200)
I was able to produce this error on another computer with the exact same
platform and versions. The file was created with
`with open(f"feature_{i}.csv", "w+") as f:
for i in range(FILE_LEN):
n = random.uniform(-0.5, 0.5)
nn = str(n)[:12]
f.write(f"{nn}\n")`
### Component(s)
Python
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