Description
Pandas version checks
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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
arr = arr.to_numpy(zero_copy_only=False)Issue Description
Description:
Hi there,
I'm getting this behaviour from databricks sql connectors due to it's dependency of Pandas. Though of posting it here to get any idea to fix it. B'coz I'm getting the exception when I try to convert the data with utf-8 encoded string to numpy array in pandas and py-arrow. Also Just curious to know is there any specific version of pandas or py-arrow that I can use to fix this issue. Any help would be appreciated here!
Versions:
Python: 3.11.9
Databricks SQL Connector: 3.3.0
Code:
Below is the code I'm using to fetch data from databricks which has some utf-8 encoded char (�) in the data.
sql_query = f""" SELECT Column FROM table LIMIT 10 """
host = os.getenv("DATABRICKS_HOST")
http_path = os.getenv("DATABRICKS_HTTP_PATH")
connection = sql.connect(server_hostname=host, http_path=http_path)
with conn.cursor() as cursor:
cursor.execute(sql_query)
response = fetchmany(cursor)
Error:
response = fetchmany(cursor)
^^^^^^^^^^^^^^^^^
File "/usr/local/airflow/.local/lib/python3.11/site-packages/my_agent/app_helper/db_helper.py", line 35, in fetchmany
query_results = cursor.fetchmany(fetch_size)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/airflow/.local/lib/python3.11/site-packages/my_agent_connectors/dq_databricks/dependencies/databricks/sql/client.py", line 976, in fetchmany
return self.active_result_set.fetchmany(size)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/airflow/.local/lib/python3.11/site-packages/my_agent_connectors/dq_databricks/dependencies/databricks/sql/client.py", line 1235, in fetchmany
return self._convert_arrow_table(self.fetchmany_arrow(size))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/airflow/.local/lib/python3.11/site-packages/my_agent_connectors/dq_databricks/dependencies/databricks/sql/client.py", line 1161, in _convert_arrow_table
df = table_renamed.to_pandas(
^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/array.pxi", line 884, in pyarrow.lib._PandasConvertible.to_pandas
File "pyarrow/table.pxi", line 4192, in pyarrow.lib.Table._to_pandas
File "/usr/local/airflow/.local/lib/python3.11/site-packages/pyarrow/pandas_compat.py", line 776, in table_to_dataframe
blocks = _table_to_blocks(options, table, categories, ext_columns_dtypes)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/airflow/.local/lib/python3.11/site-packages/pyarrow/pandas_compat.py", line 1131, in _table_to_blocks
return [_reconstruct_block(item, columns, extension_columns)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/airflow/.local/lib/python3.11/site-packages/pyarrow/pandas_compat.py", line 1131, in <listcomp>
return [_reconstruct_block(item, columns, extension_columns)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/airflow/.local/lib/python3.11/site-packages/pyarrow/pandas_compat.py", line 736, in _reconstruct_block
pd_ext_arr = pandas_dtype.__from_arrow__(arr)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/airflow/.local/lib/python3.11/site-packages/pandas/core/arrays/string_.py", line 230, in __from_arrow__
arr = arr.to_numpy(zero_copy_only=False)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/array.pxi", line 1581, in pyarrow.lib.Array.to_numpy
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowException: Unknown error: Wrapping Ruta 204 � Zapote failed
Expected Behavior
It should support and parse the utf-8 encoded characters as well.
Installed Versions
INSTALLED VERSIONS
commit : 8dab54d
python : 3.11.9.final.0
python-bits : 64
OS : Darwin
OS-release : 23.6.0
Version : Darwin Kernel Version 23.6.0: Mon Jul 29 21:14:04 PDT 2024; root:xnu-10063.141.2~1/RELEASE_ARM64_T8122
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.5.2
numpy : 1.23.4
pytz : 2022.1
dateutil : 2.9.0.post0
setuptools : 65.5.0
pip : 24.0
Cython : 3.0.10
pytest : 7.4.2
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : 2.9.9
jinja2 : 3.1.4
IPython : None
pandas_datareader: None
bs4 : None
bottleneck : None
brotli : None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : 3.1.3
pandas_gbq : None
pyarrow : 16.1.0
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : None
snappy : None
sqlalchemy : 1.4.52
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None