Description
Pandas version checks
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I have checked that this issue has not already been reported.
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I have confirmed this bug exists on the latest version of pandas.
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I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
import sqlite3
import pandas as pd
db = sqlite3.connect("file::memory:?cache=shared")
query = f"""
select cast(x'0123456789abcdef0123456789abcdef' as blob) a
"""
df = pd.read_sql(query, db, dtype_backend='pyarrow')
display(df)Issue Description
This fails with
UnicodeDecodeError: 'utf-8' codec can't decode byte 0x89 in position 4: invalid start byte
The repro is for sqllite, but the issue is the same with sqlalchemy and pyodbc.
Also read_sql_table fails with the same error.
Expected Behavior
Should succeed and return a dataframe with a binary column. It works with the default backend.
Installed Versions
INSTALLED VERSIONS
commit : d9cdd2e
python : 3.10.12.final.0
python-bits : 64
OS : Linux
OS-release : 5.15.158.2-1.cm2
Version : #1 SMP Sun Jun 9 18:33:38 UTC 2024
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 2.2.2
numpy : 1.24.3
pytz : 2023.3.post1
dateutil : 2.8.2
setuptools : 68.2.2
pip : 23.1.2
Cython : 3.0.4
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.9.3
html5lib : 1.1
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.14.0
pandas_datareader : None
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.12.2
bottleneck : None
dataframe-api-compat : None
fastparquet : None
fsspec : 2023.10.0
gcsfs : None
matplotlib : 3.7.2
numba : 0.57.1
numexpr : None
odfpy : None
openpyxl : 3.1.2
pandas_gbq : None
pyarrow : 12.0.1
pyreadstat : None
python-calamine : None
pyxlsb : None
s3fs : None
scipy : 1.10.1
sqlalchemy : 2.0.22
tables : None
tabulate : 0.9.0
xarray : None
xlrd : None
zstandard : 0.21.0
tzdata : 2023.3
qtpy : None
pyqt5 : None