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Posted to jira@arrow.apache.org by "ran (Jira)" <ji...@apache.org> on 2020/11/13 13:19:00 UTC
[jira] [Created] (ARROW-10579) read_csv from a large file with long
string columns failed to parse the input correctly
ran created ARROW-10579:
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Summary: read_csv from a large file with long string columns failed to parse the input correctly
Key: ARROW-10579
URL: https://issues.apache.org/jira/browse/ARROW-10579
Project: Apache Arrow
Issue Type: Bug
Components: Python
Affects Versions: 2.0.0
Environment: python 3.8 pyarrow 2.0.0
Reporter: ran
import pyarrow.csv as pac # PyArrow is installed with `datasets`
read_options = pac.ReadOptions(block_size=1e9)
parse_options = pac.ParseOptions(delimiter=',')
table = csv.read_csv('0.csv', read_options=read_options,parse_options=parse_options)
I get the following error:
~/anaconda2/envs/nlp/lib/python3.8/site-packages/pyarrow/_csv.pyx in pyarrow._csv.read_csv() ~/anaconda2/envs/nlp/lib/python3.8/site-packages/pyarrow/error.pxi in pyarrow.lib.pyarrow_internal_check_status() ~/anaconda2/envs/nlp/lib/python3.8/site-packages/pyarrow/error.pxi in pyarrow.lib.check_status() ArrowInvalid: CSV parse error: Expected 5 columns, got 187
I validate that the CSV is good and I am able to read it using Pandas and write+read it to hdf5.
Thanks for the help :)
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