the names of attributes on your Python class and the names of columns that are
emitted in SQL are two separate things. When you have "jobid =
Column(Integer, ...)" , that's a declarative-only format that omits the first
argument to Column which is the "name"; the declarative mapping process sets
the "name" to be the same as the attribute name.
when you instead have "jobid = Column("somename", Integer ,...)", then you're
passing the name argument.
this API grew out of some various legacy patterns which is why it's a little
weird looking, but basically Column takes *args and it looks to see if it is
getting "str, TypeEngine" or just "TypeEngine". It also can be passed neither
in cases where it derives its type from a ForeignKey() object.
On Thu, Feb 3, 2022, at 8:25 PM, Larry Martell wrote:
> I normally define a column in a model like this, for example:
>
> jobID = Column(Integer, nullable=False, primary_key=True)
>
> I now have a case where there are columns in the db that have spaces
> so I want to map the column name to a variable of a different name.
> Googling I found this:
>
> https://docs.sqlalchemy.org/en/14/orm/mapping_columns.html#naming-columns-distinctly-from-attribute-names
>
> class User(Base):
> __tablename__ = 'user'
> id = Column('user_id', Integer, primary_key=True)
> name = Column('user_name', String(50))
>
> How can that work? Is it a different version of Column() from what I
> have been using?
>
> --
> SQLAlchemy -
> The Python SQL Toolkit and Object Relational Mapper
>
> http://www.sqlalchemy.org/
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--
SQLAlchemy -
The Python SQL Toolkit and Object Relational Mapper
http://www.sqlalchemy.org/
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