SQLAlchemy Declarative + relationships across multiple different databases

It took me a while, but I figured out how to use SQLAlchemy to model a relationship across two different kinds of databases:

Base = declarative_base()

class Survey(Base):
    __tablename__ = 'SURVE开发者_开发百科Y'

    survey_id = Column("SURVEY_ID", Integer, primary_key=True)
    term_id = Column("TERM_ID", Integer, nullable=False)

    # Because the TERM table is in Oracle, but the SURVEY table is in
    # MySQL, I can't rely on SQLAlchemy's ForeignKey.  Thus,
    # I need to specify the relationship entirely by hand, like so:
    term = relationship("Term",
        primaryjoin="Term.term_id==Survey.term_id",
        foreign_keys=[term_id],
        backref="surveys"
    )

class Term(Base):
    __tablename__ = 'TERM'

    term_id   = Column(Integer, primary_key=True)
    term_name = Column(String(30))
    start_date = Column(Date)
    end_date = Column(Date)

mysql_engine = create_engine(MYSQL)
oracle_engine = create_engine(ORACLE)

Session = scoped_session(sessionmaker(
    binds={
        Term: oracle_engine,
        Survey: mysql_engine
    }
))

if __name__ == "__main__":
    survey = Session.query(Survey).filter_by(survey_id=8).one()
    print survey.term
    print survey.term.surveys

I have to do this because the TERM table is in an Oracle database on which I only have read access, and I'm writing an app that records surveys, taken by students, about that term.

The above works, but it's very fragile when the number of tables climbs up, as the Session needs to specify exactly which mapped classes correspond to which engine. I would really like to be able to use a different Base to define which tables belong to which engine, instead of binding each table individually. Like this:

mysql_engine = create_engine(MYSQL)
oracle_engine = create_engine(ORACLE)

MySQLBase = declarative_base(bind=mysql_engine)
OracleBase = declarative_base(bind=oracle_engine)

class Survey(MySQLBase):
    __tablename__ = 'SURVEY'

    survey_id = Column("SURVEY_ID", Integer, primary_key=True)
    term_id = Column("TERM_ID", Integer, nullable=False)


class Term(OracleBase):
    __tablename__ = 'ads_term_v'

    term_id   = Column(Integer, primary_key=True)
    term_name = Column(String(30))
    start_date = Column(Date)
    end_date = Column(Date)

Survey.term = relationship("Term",
    primaryjoin="Term.term_id==Survey.term_id",
    foreign_keys=[Survey.term_id],
    backref="surveys"
)

Session = scoped_session(sessionmaker())

if __name__ == "__main__":
    survey = Session.query(Survey).filter_by(survey_id=8).one()
    print survey.term
    print survey.term.surveys

Unfortunately, this results in the following error when the query runs:

sqlalchemy.exc.InvalidRequestError: When initializing mapper Mapper|Survey|SURVEY, expression 'Term.term_id==Survey.term_id' failed to locate a name ("name 'Term' is not defined"). If this is a class name, consider adding this relationship() to the <class '__main__.Survey'> class after both dependent classes have been defined.

even though I did add the relationship() to Survey after Term was defined.

Does anyone have any suggestions?

---

Possibly very late with this reply, but you could have defined the metadata separate from the declarative base and then passed it onto both. ie:

meta = MetaData()
mysql_engine = create_engine(MYSQL)
oracle_engine = create_engine(ORACLE)

MySQLBase = declarative_base(bind=mysql_engine, metadata=meta)
OracleBase = declarative_base(bind=oracle_engine, metadata=meta)

---

You can't. AFAIK there's no single query against two different databases. Also, your Models have to share the same Metadata instance to be used in the same query.

Perhaps you can link the Oracle db to the MySQL db on the DB layer via ODBC, then you'd only talk to MySQL. I have never done this, and I don't know how it works.

You can also query both databases independently and filter and select data on the application layer, whichever is less work.