examples.join_conditions.threeway
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2023-12-01
"""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 and_ from sqlalchemy import Column from sqlalchemy import create_engine from sqlalchemy import Integer from sqlalchemy import join from sqlalchemy import String from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.orm import foreign from sqlalchemy.orm import mapper from sqlalchemy.orm import relationship from sqlalchemy.orm import Session 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)