Thanks, that works.
But now, with the attribute_mapped_collection, every language is
queried and assigned to the dict (quite an overhead in my use-case).
how could i achieve to load only a selected language which is
dynamically assigned on the query?
i thought of something like a column_property which reads a param or
option passed to the query. is this possible?
or is another approach better?
Dom
On Dec 3, 7:13 pm, Simon [EMAIL PROTECTED] wrote:
That would be
desc = session.query(I18Product).filter_by(id=1183, lang=en).one()
The Problem with your query is that you query() for Product, not for
I18NProduct, so regardless of and filter and join functions you
specify, you will always receice Product objects. Think of query
(Product) as a final filter which creates Product objects from the
returned rows, and ignores everything which is not a column of
Product.
For x.i18n (a property of Product) to work as you described, have a
look
athttp://www.sqlalchemy.org/docs/04/mappers.html#advdatamapping_relatio...
. You'd basically want to setup your relation() as a dict using the
lang column as key.
Simon
On 3 Dez., 16:33, Dom [EMAIL PROTECTED] wrote:
Hi
i tried the following example, but i cant get the join to work:
CREATE TABLE product (
id INTEGER,
price NUMERIC(15,2) NOT NULL,
PRIMARY KEY(id)
);
CREATE TABLE i18n_product (
id INTEGER,
lang VARCHAR(2),
description VARCHAR(150) NOT NULL,
PRIMARY KEY(id, lang),
FOREIGN KEY(id) REFERENCES product(id)
);
python:
class Product(Base):
__table__ = Table('product', Base.metadata, autoload=True)
class I18NProduct(Base):
__table__ = Table('i18n_product', Base.metadata, autoload=True)
product = relation(Product, backref=backref('i18n'))
x=session.query(Product).filter(Product.id==1183).join('i18n').filter
(I18NProduct.lang=='en').one()
the sql looks of the JOIN looks good, but if i access x.i18n, another
queries is build which returns all of my language entry for one
product, what i try to get is one product description in the given
language.
please tell me how to do that correctly, thank you :)
cheers
Dom
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