由 django 中的 prefetch_related 完成的烧瓶多对多连接 [英] flask many to many join as done by prefetch_related from django
问题描述
我在带有 Sql Alchemy ORM 的烧瓶中有以下组和联系人模型
I have following Group and Contact model in flask with Sql Alchemy ORM
group_contact = db.Table(
'group_contact',
db.Column('group_id', db.Integer, db.ForeignKey(
'group.id')),
db.Column('contact_id', db.Integer, db.ForeignKey(
'contact.id')),
db.PrimaryKeyConstraint('group_id', 'contact_id')
)
class Group(db.Model):
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String(100))
class Contact(db.Model):
id = db.Column(db.Integer, primary_key=True)
phone = db.Column(db.String(15), nullable=False, unique=True)
groups = db.relationship(
"Group", secondary=group_contact, backref='contacts')
现在我需要查询与群组的联系人:
Now I need to query Contact with groups:
contacts = Contact.query.join(Group, Contact.groups).all()
for contact in contacts:
print(contact.groups)
这里的问题是当我执行上述代码时,SQL 查询的数量随着联系数量的增加而增加.
Here the problem is number of SQL query increases as number of contact increases when I execute above code.
Django ORM 有 prefetch_related() 和 queryset,它根据 django 文档.
Django ORM has prefetch_related() with queryset which does the following according to django docs.
prefetch_related 另一方面,对每个关系进行单独的查找,并在 Python 中进行连接".除了 select_related 支持的外键和一对一关系之外,这允许它预取使用 select_related 无法完成的多对多和多对一对象.
prefetch_related, on the other hand, does a separate lookup for each relationship, and does the ‘joining’ in Python. This allows it to prefetch many-to-many and many-to-one objects, which cannot be done using select_related, in addition to the foreign key and one-to-one relationships that are supported by select_related.
现在我正在尝试通过以下代码对 Sql Alchemy 做同样的事情:
Now I am trying to do the same thing with Sql Alchemy by the following code:
contacts = Contact.query.all()
contact_groups = group_contact.query.join(
Group
).filter(group_contact.contact_id.in_([item.id for item in contacts]))
但这给了我这个错误:
AttributeError: 'Table' object has no attribute 'query'
如何使用 SqlAlchemy 从 django 获取 prefetch_related 之类的功能?
How can I get prefetch_related like feature from django with SqlAlchemy?
推荐答案
您想通过使用 关系加载技术.可以告诉 SQLAlchemy 在单个查询中加载组和联系人.
You want to tell SQLAlchemy to eagerly load related objects by using a relationship loading technique. SQLAlchemy can be told to load the groups together with the contacts in a single query.
对于这一个查询,您可以添加joinedload()
选项(可通过 Flask-SQLAlchemy db
对象获得):
For just this one query, you can add joinedload()
option (it is available via the Flask-SQLAlchemy db
object):
contacts = Contact.query.options(db.joinedload(Contact.groups)).all()
这会在每个匹配的联系人上预加载 Contact.groups
属性:
This pre-loads the Contact.groups
attribute on each matched contact:
for contact in contacts:
# no new query issued to fetch groups, the data for the groups
# is already available
print(contact.groups)
执行的查询如下所示:
SELECT
contact.id AS contact_id,
contact.phone AS contact_phone,
group_1.id AS group_1_id,
group_1.name AS group_1_name
FROM contact
LEFT OUTER JOIN (
group_contact AS group_contact_1
JOIN "group" AS group_1 ON group_1.id = group_contact_1.group_id
) ON contact.id = group_contact_1.contact_id
您还可以为模型上的关系设置默认加载策略;要始终急切地加载组,请在关系上使用 lazy='joined'
:
You can also set a default loading strategy for the relationship on the model; to always eagerly load groups, use lazy='joined'
on the relationship:
class Contact(db.Model):
# ...
groups = db.relationship(
"Group", secondary=group_contact, backref='contacts',
lazy='joined')
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