Connect to Oracle database from SQLAlchemy using pyodbc

Question

I have set up a data source name(DSN) in ODBC driver and supplying that in a query. My below code is working like a charm.

import pyodbc as db
cnxn = db.connect('DSN=Oracle Prod DW;PWD=******')

I want to create a sqlalchemy connection for the same, but I fail. I tried different approaches but it didn't work. I just want to supply a password and DSN.

Answer 1

Oracle dialect + ODBC Driver is not seem to be supported by SqlAlchemy

https://docs.sqlalchemy.org/en/13/core/engines.html#oracle

Only in Java Runtime you can do that apparently

https://docs.sqlalchemy.org/en/13/dialects/oracle.html#module-sqlalchemy.dialects.oracle.zxjdbc

https://www.jython.org/jython-old-sites/archive/21/docs/zxjdbc.html

That being said

If you have an oracle client installation with proper tnsnames setup

You can do something like follows

1. Install cx_Oracle

2. Setup tnsnames ie

   DEVDB= (DESCRIPTION = (ADDRESS =(PROTOCOL =TCP)(HOST =10.10.10.11)(PORT =1521)) (CONNECT_DATA = (SERVER =DEDICATED) (SERVICE_NAME =SVCDEV) ) )

3. Code

   import sqlalchemy as alc from sqlalchemy.orm import sessionmaker import cx_Oracle import pandas as pd conn_str = 'oracle://DEVDB' engine = alc.create_engine(conn_str, echo=False) Session = sessionmaker(bind=engine) # YOU MIGHT NEED THIS sometimes # cx_Oracle.init_oracle_client(lib_dir=r"C:\oracle\x64\product\19.0.0\client_1\bin") sess = Session() result = sess.execute("select 'foo' from dual") df = pd.DataFrame(result.fetchall(), columns=result.keys()) print(df.to_string())