This is another "I'm new to SQLAlchemy" kind of question... I have two datasets that have exactly the same structure, and I wish to create separate database tables for these that are mapped to/from the structure of same underlying Python class. I looked for discussion of this in the SQLAlchemy manual, but the references I found (e.g. [1]) seem to discuss spreading a class over several tables rather than multiple instances/datasets.
It appears that the mapper structure always associates a given python class with a single table. Is this correct? The pattern I'm contemplating to support multiple datasets is to define a subclass of the main class for each one, then map each subclass to its own table. Is there a better way? #g [1] http://www.sqlalchemy.org/docs/04/mappers.html#advdatamapping_mapper_joins --~--~---------~--~----~------------~-------~--~----~ 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 -~----------~----~----~----~------~----~------~--~---
