Scenario:
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)
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://
.