Python to MS SQL Error: Error when connecting to SQL using sqlalchemy.create_engine() using pypyodbc

Question

Scenario:

1. I am trying to Convert the SQL output directly to Table using dataframe.to_sql, so for that i am using sqlalchemy.create_engine() and its throwing error when trying to createngine()

    sqlchemyparams= urllib.parse.quote_plus(ConnectionString) sqlchemy_conn_str = 'mssql+pypyodbc:///?odbc_connect={}'.format(sqlchemyparams) engine_azure = sqlalchemy.create_engine(sqlchemy_conn_str,echo=True,fast_executemany = True, poolclass=NullPool) df_top_features.to_sql('Topdata', engine_azure,schema='dbo', index = False, if_exists = 'replace')

2.It will work fine if i use:pyodbc

sqlchemy_conn_str = 'mssql+pyodbc:///?odbc_connect={}'.format(sqlchemyparams)

3. So is there any way i can using pypyodbc in sqlchem_conn_str

Answer 1

SQLAlchemy does not have a pypyodbc driver defined for the mssql dialect, so

mssql+pypyodbc:// …

simply will not work. There may be some way to "fool" your code into using pypyodbc when you specify mssql+pyodbc:// , similar to doing

import pypyodbc as pyodbc 

in plain Python, but it is not recommended.

In cases where pyodbc cannot be used, the recommended alternative would be mssql+pymssql:// .

Answer 2

Here's what I do

import sqlalchemy as sa
from sqlalchemy import create_engine, event
from sqlalchemy.engine.url import URL

Then create varaibles to holder the server, database, username and password and pass it to...

params = urllib.parse.quote_plus("DRIVER={SQL Server};"
                                 "SERVER="+server+";"
                                 "DATABASE="+database+";"
                                 "UID="+username+";"
                                 "PWD="+password+";")

engine = sa.create_engine("mssql+pyodbc:///?odbc_connect={}".format(params))

then upload data to sql using.

dfc.to_sql('jobber',con=engine,index=False, if_exists='append')

Using https://www.dataquest.io/blog/sql-insert-tutorial/ as a source.