I'm connecting to an SQL Server database from SQL Alchemy by creating an engine as follows: connectionString = 'mssql+pyodbc://username:password@my_server/my_database_name' engine = sql.create_engine(connectionString)
I've noticed that SQL Alchemy defaults to using the 'SQL Server' driver when creating the connection string for PyODBC, which creates problems when I'm accessing columns stored in DateTime2 format - they are returned as strings instead of python datetimes. To work around this, I can specify a newer driver manually as follows: connectionString = 'mssql+pyodbc://username:password@my_server/my_database_name?driver=SQL Server Native Client 10.0 However, is there a reason why SQL Alchemy doesn't choose the newest available driver by default? -- You received this message because you are subscribed to the Google Groups "sqlalchemy" group. To unsubscribe from this group and stop receiving emails from it, send an email to sqlalchemy+unsubscr...@googlegroups.com. To post to this group, send email to sqlalchemy@googlegroups.com. Visit this group at http://groups.google.com/group/sqlalchemy. For more options, visit https://groups.google.com/d/optout.
