this capability already exists. For example, if you want specific SQL types, those are implemented. if you want specfically a CHAR column, use types.CHAR. Or VARCHAR, use types.VARCHAR. Other implemented SQL types are TIMESTAMP, CLOB and BLOB.
But that's not all. For types that are totally specific to a certain database, those are available as well, within the module for each database. for example, import sqlalchemy.databases.mysql as mysql import sqlalchemy.databases.postgres as postgres mysql.MSEnum -> mysql's ENUM type mysql.MSBigInteger -> mysql's BIGINTEGER type postgres.PGInet -> Pg's INET type postgres.PGArray -> Pg's ARRAY type We also have a newer class of types that are generic, but will use a more specific DB type if one is available. An example is the Interval type. This will use a regular date column on most databases, subtracting the difference from 1/1/1970 to get the result. But on postgres, it uses the PGInterval type, which is PG's INTERVAL type. --~--~---------~--~----~------------~-------~--~----~ 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 -~----------~----~----~----~------~----~------~--~---
