MMCMA opened a new issue, #2079:
URL: https://github.com/apache/arrow-adbc/issues/2079
### What would you like help with?
I am curious if there is a way to use SQLAlchemy along the ADBC driver for
our postgres database. Often in SQLAlchemy I can switch between drivers by
simply altering the create_engine() call. We have a lot of SQL logic written
with SQLAlchemy queries (which allow us to switch between different SQL
flavors). I tried to make it work with the connection object but it does not
really work. I get errors like the following.
`sqlalchemy.exc.NoInspectionAvailable: No inspection system is available for
object of type <class 'adbc_driver_manager.dbapi.Connection'>`
an example code could look like this
from sqlalchemy import MetaData, Table, select, Column, Integer
from adbc_driver_postgresql import dbapi
import pandas as pd
with dbapi.connect('some_valid_DB_URL') as con
metadata = MetaData()
tmp_id_table = Table('tmp_table', metadata,
Column('id_', Integer, primary_key=True),
prefixes=['TEMPORARY'])
metadata.create_all(con)
tmp_ids = pd.DataFrame(dict(id_=[1,2,3,4]))
tmp_ids.to_sql('tmp_table', con=con, if_exists='append',
index=False)
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