examples.join_conditions.threeway — SQLAlchemy 1.1 Documentation

Release: 1.1.18 | Release Date: March 6, 2018

# SQLAlchemy 1.1 Documentation

# Source code for examples.join_conditions.threeway

    """Illustrate a "three way join" - where a primary table joins to a remote
    table via an association table, but then the primary table also needs
    to refer to some columns in the remote table directly.

    E.g.::

        first.first_id      -> second.first_id
                               second.other_id --> partitioned.other_id
        first.partition_key ---------------------> partitioned.partition_key

    For a relationship like this, "second" is a lot like a "secondary" table,
    but the mechanics aren't present within the "secondary" feature to allow
    for the join directly between first and partitioned.  Instead, we
    will derive a selectable from partitioned and second combined together, then
    link first to that derived selectable.

    If we define the derived selectable as::

        second JOIN partitioned ON second.other_id = partitioned.other_id

    A JOIN from first to this derived selectable is then::

        first JOIN (second JOIN partitioned
                    ON second.other_id = partitioned.other_id)
              ON first.first_id = second.first_id AND
                 first.partition_key = partitioned.partition_key

    We will use the "non primary mapper" feature in order to produce this.
    A non primary mapper is essentially an "extra" :func:`.mapper` that we can
    use to associate a particular class with some selectable that is
    not its usual mapped table.   It is used only when called upon within
    a Query (or a :func:`.relationship`).

    """
    from sqlalchemy import *
    from sqlalchemy.orm import *
    from sqlalchemy.ext.declarative import declarative_base

    Base = declarative_base()

    class First(Base):
        __tablename__ = 'first'

        first_id = Column(Integer, primary_key=True)
        partition_key = Column(String)

        def __repr__(self):
            return ("First(%s, %s)" % (self.first_id, self.partition_key))

    class Second(Base):
        __tablename__ = 'second'

        first_id = Column(Integer, primary_key=True)
        other_id = Column(Integer, primary_key=True)

    class Partitioned(Base):
        __tablename__ = 'partitioned'

        other_id = Column(Integer, primary_key=True)
        partition_key = Column(String, primary_key=True)

        def __repr__(self):
            return ("Partitioned(%s, %s)" % (self.other_id, self.partition_key))

    j = join(Partitioned, Second, Partitioned.other_id == Second.other_id)

    partitioned_second = mapper(Partitioned, j, non_primary=True, properties={
            # note we need to disambiguate columns here - the join()
            # will provide them as j.c.<tablename>_<colname> for access,
            # but they retain their real names in the mapping
            "other_id": [j.c.partitioned_other_id, j.c.second_other_id],
        })

    First.partitioned = relationship(
                                partitioned_second,
                                primaryjoin=and_(
                                    First.partition_key == partitioned_second.c.partition_key,
                                    First.first_id == foreign(partitioned_second.c.first_id)
                                ), innerjoin=True)

    # when using any database other than SQLite, we will get a nested
    # join, e.g. "first JOIN (partitioned JOIN second ON ..) ON ..".
    # On SQLite, SQLAlchemy needs to render a full subquery.
    e = create_engine("sqlite://", echo=True)

    Base.metadata.create_all(e)
    s = Session(e)
    s.add_all([
        First(first_id=1, partition_key='p1'),
        First(first_id=2, partition_key='p1'),
        First(first_id=3, partition_key='p2'),
        Second(first_id=1, other_id=1),
        Second(first_id=2, other_id=1),
        Second(first_id=3, other_id=2),
        Partitioned(partition_key='p1', other_id=1),
        Partitioned(partition_key='p1', other_id=2),
        Partitioned(partition_key='p2', other_id=2),
    ])
    s.commit()

    for row in s.query(First, Partitioned).join(First.partitioned):
        print(row)

    for f in s.query(First):
        for p in f.partitioned:
            print(f.partition_key, p.partition_key)