>>> is the above possible?  or an error condition?

I don't want to restrict that case 

>>> overall, if the plan is that "schema" will match across all the objects 
involved, and your application will make sure those are all set as needed, 
just
>>> remove the foreign() annotation from the Transaction.service column.  
the primary joins already have enough information based on the
>>> service_id, organization_id and person_id columns.

"schema" will match across all the objects - 100%



понедельник, 28 декабря 2020 г. в 17:39:25 UTC+2, Mike Bayer: 

> by having foreign() on the Transaction.schema column, that means when you 
> do this:
>
> t1 = Transaction()
>
> t1.service = some_service()
>
> the ORM is being instructed to copy some_service.schema over to 
> t1.schema.   Because "foreign" means "this is the column that mirrors the 
> value of a canonical value on the related row".
>
> so you have to decide what should happen if you did this:
>
> t1.service = Service(schema="a", ...)
> t1.organiazation = Organization(schema="b", ...)
> t1.person = Person(schema="c", ...)
>
> is the above possible?  or an error condition?
>
> overall, if the plan is that "schema" will match across all the objects 
> involved, and your application will make sure those are all set as needed, 
> just remove the foreign() annotation from the Transaction.service column.  
> the primary joins already have enough information based on the service_id, 
> organization_id and person_id columns.
>
>
> On Mon, Dec 28, 2020, at 6:04 AM, sector119 wrote:
>
> I get following warning with my model:
>
> SAWarning: relationship 'Transaction.organization' will copy column 
> organizations.schema to column transactions.schema, which conflicts with 
> relationship(s): 'Transaction.service' (copies services.schema to 
> transactions.schema). If this is not the intention, consider if these 
> relationships should be linked with back_populates, or if viewonly=True 
> should be applied to one or more if they are read-only. For the less common 
> case that foreign key constraints are partially overlapping, the 
> orm.foreign() annotation can be used to isolate the columns that should be 
> written towards.   The 'overlaps' parameter may be used to remove this 
> warning.
>
> I have all my tables partitioned by "schema" column so I have to put it to 
> every PK and FK
> I add "primaryjoin" to my relations as described at 
> https://docs.sqlalchemy.org/en/14/orm/join_conditions.html#overlapping-foreign-keys
> but still get that warning. How can I fix it?
>
> Thank You 
>
> class Transaction(Base):
> __tablename__ = *'transactions'*
>
> schema = Column(String(63), nullable=False, index=True)
> id = Column(BigInteger, nullable=False, index=True)
>
> user_id = Column(Integer, ForeignKey(SYSTEM_SCHEMA + *'.users.id 
> <http://users.id>'*), nullable=False, index=True)
> office_id = Column(Integer, ForeignKey(SYSTEM_SCHEMA + *'.offices.id 
> <http://offices.id>'*), nullable=False, index=True)
> service_id = Column(Integer, nullable=False, index=True)
> organization_id = Column(Integer, nullable=False, index=True)
>
> ...
>
> service = relationship(*'Service'*,
> primaryjoin=*'and_(Service.schema == foreign(Transaction.schema), 
> Service.id == foreign(Transaction.service_id))'*)
> organization = relationship(*'Organization'*,
> primaryjoin=*'and_(Organization.schema == foreign(Transaction.schema), 
> Organization.id == foreign(Transaction.organization_id))'*)
> person = relationship(*'Person'*,
> primaryjoin=*'and_(Person.schema == foreign(Transaction.schema), 
> Person.id == foreign(Transaction.person_id))'*)
> rollback_user = relationship(*'User'*, primaryjoin=*'User.id == 
> Transaction.rollback_user_id'*)
>
> __table_args__ = (
> PrimaryKeyConstraint(*'schema'*, *'id'*),
> ForeignKeyConstraint(
> (schema, service_id),
> (Service.schema, Service.id)
> ),
> ForeignKeyConstraint(
> (schema, organization_id),
> (Organization.schema, Organization.id)
> ),
> {
> *'postgresql_partition_by'*: 
> *'LIST (schema)'* }
> )
>
>
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> The Python SQL Toolkit and Object Relational Mapper
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