[Python] OSError: Couldn't deserialize thrift: TProtocolException #15153
Description
Describe the bug, including details regarding any error messages, version, and platform.
I run a daily data processes in python 3.10 and Docker. I create around 500 parquet files a day with the same process. However, once a week (or 1 in 2500 files) a random file gets corrupted with the following error log when trying to read from pyarrow 10.0.1:
OSError: Couldn't deserialize thrift: TProtocolException: Invalid data
Deserializing page header failed.
When I try to open the file with pandas (and engine='fastparquet') I get the following error:
File "fastparquet\cencoding.pyx", line 336, in fastparquet.cencoding.NumpyIO.read
TypeError: an integer is required
I am not sure where to start and what could be the root cause.
Component(s)
Python
Versions:
INSTALLED VERSIONS
commit : 8dab54d6573f7186ff0c3b6364d5e4dd635ff3e7
python : 3.10.9.final.0
python-bits : 64
OS : Linux
OS-release : 5.11.0-40-generic
Version : #44~20.04.2-Ubuntu SMP Tue Oct 26 18:07:44 UTC 2021
machine : x86_64
processor :
byteorder : little
LC_ALL : None
LANG : C.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.5.2
numpy : 1.23.5
pytz : 2022.7
dateutil : 2.8.2
setuptools : 64.0.2
pip : 22.3.1
Cython : 0.29.32
pytest : 7.2.0
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.9.2
html5lib : 1.1
pymysql : None
psycopg2 : 2.9.5
jinja2 : 3.1.2
IPython : 8.7.0
pandas_datareader: 0.10.0
bs4 : 4.11.1
bottleneck : None
brotli : None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : 3.6.2
numba : 0.56.4
numexpr : None
odfpy : None
openpyxl : 3.0.10
pandas_gbq : None
pyarrow : 10.0.1
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.9.3
snappy : None
sqlalchemy : 1.4.45
tables : None
tabulate : 0.9.0
xarray : None
xlrd : None
xlwt : None
zstandard : None
tzdata : None