I learned from a helpful post on StackOverflow about how to call stored procedures on SQL Server in python (pyodbc). After modifying my code to what is below, I am able to connect and run execute() from the db_engine that I created.
import pyodbc
import sqlalchemy as sal
from sqlalchemy import create_engine
import pandas as pd
import urllib
params = urllib.parse.quote_plus(
'DRIVER={ODBC Driver 17 for SQL Server};'
f'SERVER=myserver.com;'
f'DATABASE=mydb;'
f'UID=foo;'
f'PWD=bar')
cobnnection_string = f'mssql+pyodbc:///?odbc_connect={params}'
db_engine = create_engine(connection_string)
db_engine.execute("EXEC [dbo].[appDoThis] 'MYDB';")
<sqlalchemy.engine.result.ResultProxy at 0x1121f55e0>
db_engine.execute("EXEC [dbo].[appDoThat];")
<sqlalchemy.engine.result.ResultProxy at 0x1121f5610>
However, even though no errors are returned after running the above code in Python, when I check the database, I confirm that nothing has been executed (what is more telling is that the above commands take one or two seconds to complete whereas running these stored procedures successfully on the database admin tool takes about 5 minutes).
How should I understand what is not working correctly in the above setup in order to properly debug? I literally run the exact same code through my database admin tool with no issues - the stored procedures execute as expected. What could be preventing this from happening via Python? Does the executed SQL need to be committed? Is there a way to debug using the ResultProxy that is returned? Any advice here would be appreciated.