纯粹的关系方法需要使用子查询来获取与父查询相关的“最新”或“最大”值,然后将其与集合成员相等。这意味着,如果在确定“最新”的列上放置索引,将获得最佳结果:
from sqlalchemy import *
from sqlalchemy.orm import *
engine = create_engine('sqlite:///:memory:', echo='debug')
m = MetaData()
parent = Table('parent', m,
Column('id', Integer, primary_key=True)
)
child = Table('child', m,
Column('id', Integer, primary_key=True),
Column('parent_id', Integer, ForeignKey('parent.id')),
Column('sortkey', Integer)
)
m.create_all(engine)
class Parent(object):
def __init__(self, children):
self.all_c = children
class Child(object):
def __init__(self, sortkey):
self.sortkey = sortkey
latest_c = select([func.max(child.c.sortkey)]).\
where(child.c.parent_id==parent.c.id).\
correlate(parent).\
as_scalar()
mapper(Parent, parent, properties={
'all_c':relation(Child),
'latest_c':relation(Child,
primaryjoin=and_(
child.c.sortkey==latest_c,
child.c.parent_id==parent.c.id
),
uselist=False
)
})
mapper(Child, child)
session = sessionmaker(engine)()
p1, p2, p3 = Parent([Child('a'), Child('b'), Child('c')]), \
Parent([Child('b'), Child('c')]),\
Parent([Child('f'), Child('g'), Child('c')])
session.add_all([p1, p2, p3])
session.commit()
assert p1.latest_c.sortkey == 'c'
assert p2.latest_c.sortkey == 'c'
assert p3.latest_c.sortkey == 'g'
或者,您可以在某些平台上使用limit,这可以产生更快的结果,因为您可以避免聚合,并可以在其主键上加入集合项:
latest_c = select([child.c.id]).\
where(child.c.parent_id==parent.c.id).\
order_by(child.c.sortkey.desc()).\
limit(1).\
correlate(parent).\
as_scalar()
mapper(Parent, parent, properties={
'all_c':relation(Child),
'latest_c':relation(Child,
primaryjoin=and_(
child.c.id==latest_c,
child.c.parent_id==parent.c.id
),
uselist=False
)
})