I've gone through the archives, but there doesn't appear to have been any discussion on the use of trusted connections to MSSQL servers. (aka NT authentication, passthrough etc.) If I've overlooked a previous discussion and am rehashing things then please do point it out.
Of the three db interfaces on offer (pymssql, adodbapi, pyodbc) only the latter two offer the possibility of a trusted connection. I looked at the code of pymssql a while ago and it doesn't do anything useful with a null username (which is the way in which Object Craft's now-stale MSSQL module handles passthrough). The ADO & ODBC connections use those mildly unwieldy connection strings which do at least allow for NT authentication. Assuming there were to be some agreement on the matter, I'd be quite happy to offer a patch. But I'm not sure whether the preference would be for an implicit trusted connection (pass an empty username) or for an explicit option on the create_engine (trusted_connection=True or whatever). Picking up briefly on comments by Rick Morrison -- to whom many thanks for making the MSSQL stuff happen -- it is a shame that there's no easy answer to the question: "What do I use with Python to access MS SQL Server?". I used the Object Craft module for years until they effectively stopped releases for newer versions. I occasionally fall back to Py2.3 just to use it as it's the most robust of the options. pyodbc looks good but lacks .nextset support, which is central to a widely used (internally) sql2xl library I knocked up years ago. adodbapi does offer this but has been unmaintained for a while and is just a little flaky. pymssql is maintained but uses the deprecated db-lib interface (as does the Object Craft offering) and doesn't handle Unicode especially well, at least on Windows. With all that, then, I'm very glad that sqlalchemy gives me the choice! TJG --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "sqlalchemy" group. To post to this group, send email to sqlalchemy@googlegroups.com To unsubscribe from this group, send email to [EMAIL PROTECTED] For more options, visit this group at http://groups.google.com/group/sqlalchemy?hl=en -~----------~----~----~----~------~----~------~--~---