BUG: 'ArrowExtensionArray' object has no attribute 'to_pydatetime' when the colunm type is datetime in pandas to_sql command

[FerriLuli]

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• I have confirmed this bug exists on the latest version of pandas.

• I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

polars as pl
query = "SELECT getdate(), t.* FROM table "
df_sql = pl.read_sql(query, conn_uri_db1)`
df_sql.schema
df_sql.to_pandas(use_pyarrow_extension_array=True).to_sql('table_name', conn_uri_db2, if_exists='replace')

>Error message: 'ArrowExtensionArray' object has no attribute 'to_pydatetime'```

Issue Description

Hi everyone.
I was trying to take data from one database and write it into another, using Polars, but I was getting this error, analyzing the trace it occurs when polars uses pandas behind the scene to convert their dataframe to pandas dataframe and use the to_sql command, so I reproduced what polars does.
Apparently the error only occurs when using a dataframe that has datetime columns.
Thanks in advance for your help.

Here is the full trace error:

~\AppData\Local\Temp\ipykernel_14916\424779397.py in <module>
----> 1 df_sql.to_pandas(use_pyarrow_extension_array=True).to_sql('teste_2', con, if_exists='replace')

~\Anaconda3\lib\site-packages\pandas\core\generic.py in to_sql(self, name, con, schema, if_exists, index, index_label, chunksize, dtype, method)
   2985         from pandas.io import sql
   2986 
-> 2987         return sql.to_sql(
   2988             self,
   2989             name,

~\Anaconda3\lib\site-packages\pandas\io\sql.py in to_sql(frame, name, con, schema, if_exists, index, index_label, chunksize, dtype, method, engine, **engine_kwargs)
    693         )
    694 
--> 695     return pandas_sql.to_sql(
    696         frame,
    697         name,

~\Anaconda3\lib\site-packages\pandas\io\sql.py in to_sql(self, frame, name, if_exists, index, index_label, schema, chunksize, dtype, method, engine, **engine_kwargs)
   1736         )
   1737 
-> 1738         total_inserted = sql_engine.insert_records(
   1739             table=table,
   1740             con=self.connectable,

~\Anaconda3\lib\site-packages\pandas\io\sql.py in insert_records(self, table, con, frame, name, index, schema, chunksize, method, **engine_kwargs)
   1323 
   1324         try:
-> 1325             return table.insert(chunksize=chunksize, method=method)
   1326         except exc.SQLAlchemyError as err:
   1327             # GH34431

~\Anaconda3\lib\site-packages\pandas\io\sql.py in insert(self, chunksize, method)
    922             raise ValueError(f"Invalid parameter `method`: {method}")
    923 
--> 924         keys, data_list = self.insert_data()
    925 
    926         nrows = len(self.frame)

~\Anaconda3\lib\site-packages\pandas\io\sql.py in insert_data(self)
    890             vals = ser._values
    891             if vals.dtype.kind == "M":
--> 892                 d = vals.to_pydatetime()
    893             elif vals.dtype.kind == "m":
    894                 # store as integers, see GH#6921, GH#7076

AttributeError: 'ArrowExtensionArray' object has no attribute 'to_pydatetime' 

Expected Behavior

I expect to be able to write columns with datetime type into my database.

Installed Versions

INSTALLED VERSIONS

python : 3.9.13.final.0
python-bits : 64
pandas : 1.5.3
numpy : 1.21.5
pytz : 2022.1
dateutil : 2.8.2
setuptools : 63.4.1
pip : 22.2.2
Cython : 0.29.32
pytest : 7.1.2
hypothesis : None
sphinx : 5.0.2
blosc : None
feather : None
xlsxwriter : 3.0.3
lxml.etree : 4.9.1
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 2.11.3
IPython : 7.31.1
pandas_datareader: None
bs4 : 4.11.1
bottleneck : 1.3.5
brotli :
fastparquet : None
fsspec : 2023.3.0
gcsfs : None
matplotlib : 3.5.2
numba : 0.55.1
numexpr : 2.8.3
odfpy : None
openpyxl : 3.0.10
pandas_gbq : None
pyarrow : 11.0.0
pyreadstat : None
pyxlsb : None
s3fs : 2023.3.0
scipy : 1.9.1
snappy :
sqlalchemy : 2.0.5.post1
tables : 3.6.1
tabulate : 0.8.10
xarray : 0.20.1
xlrd : 2.0.1
xlwt : None
zstandard : None
tzdata : None