Reference for the general set of “UPPERCASE” datatypes is below at SQL types that typically expect to be available on at least two backends The “UPPERCASE” datatypes that are part of sqlalchemy.types are common INTEGER, and TIMESTAMP, which inherit directlyįrom the previously mentioned “CamelCase” types
Of UPPERCASE types include VARCHAR, NUMERIC, Of “UPPERCASE” types in a SQLAlchemy application indicates that specificĭatatypes are required, which then implies that the application would normally,īe limited to those backends which use the type exactly as given. Whether or not the current backend supports it. The name of the type is always rendered exactly as given, without regard for Theseĭatatypes are always inherited from a particular “CamelCase” datatype, andĪlways represent an exact datatype. In contrast to the “CamelCase” types are the “UPPERCASE” datatypes. Reference for the general set of “CamelCase” datatypes is below at
#POSTGRESQL CAST INTEGER TO MONEY PORTABLE#
“CamelCase” types in the general case, as they will generally provide the bestīasic behavior and be automatically portable to all backends. The typical SQLAlchemy application will likely wish to use primarily Interpreting Python numeric or boolean values. As data is sent and receivedįrom the database using this type, based on the dialect in use it may be May render BOOLEAN on a backend such as PostgreSQL, BIT on the Or BIT values 0 and 1, some have boolean literal constants true andįalse while others dont.
Not every backend has a real “boolean” datatype some make use of integers On Mar 31, 2011, at 6:39 PM, Stephen Frost <> wrote: > Kevin Grittner () wrote: > If you're just talking about going in the one direction, I might be > persuaded that's sane, especially because of the case of literals, > and especially since there are currencies where fractional amounts > aren't used in the conventional representation.
Which represents a string datatype that all databases have, If arguments are needed, such as the lengthĪrgument of 60 in the "email_address" column above, the type may beĪnother “CamelCase” datatype that expresses more backend-specific behavior Table definition or in any SQL expression overall, if noĪrguments are required it may be passed as the class itself, that is, without When using a particular TypeEngine class in a _processor()įrom sqlalchemy import MetaData from sqlalchemy import Table, Column, Integer, String metadata_obj = MetaData () user = Table ( "user", metadata_obj, Column ( "user_name", String, primary_key = True ), Column ( "email_address", String ( 60 )), ).SQL Standard and Multiple Vendor “UPPERCASE” Types.Using “UPPERCASE” and Backend-specific types for multiple backends.
0 kommentar(er)
