> What are the advantages of using declarative way of setting table
> definitions? vs
> addressbook_table = sqlalchemy.Table("Addressbook", metadata,
> sqlalchemy.Column('Address_Sid', sqlalchemy.Integer, primary_key=True),
> sqlalchemy.Column('FirstName', sqlalchemy.Unicode(40),nullable=False),
> ....
>
> class Addressbook(object):
> def __init__(self, **kw):
> """automatically mapping attributes"""
> for key, value in kw.iteritems():
> setattr(self, key, value)
>
> mapper(Addressbook, addressbook_table)
>
>
>
> It seems to me as its harder to find information on proper syntax then
> it is with regular table, py object, mapper?
>
> Lucas
>
>
The declarative is a more concise all-in-one style
class Addressbook(Base):
__tablename__ = "Addressbook"
Address_Sid = sqlalchemy.Column(sqlalchemy.Integer, primary_key=True)
FirstName = sqlalchemy.Column(sqlalchemy.Unicode(40),nullable=False)
accomplishes the same thing as the table + class + mapper example including
a default __init__() that accepts keywords for column values.
I do agree that the examples for declarative need to be more comprehensive.
I find it sometimes difficult to translate the mapper style into
declarative, but I'm getting better at it.
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