sqlalchemy：如何通过一个查询连接多个表？

尝试这个

q = Session.query(
         User, Document, DocumentPermissions,
    ).filter(
         User.email == Document.author,
    ).filter(
         Document.name == DocumentPermissions.document,
    ).filter(
        User.email == 'someemail',
    ).all()

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正如@letitbee 所说，将主键分配给表并正确定义关系以允许正确的 ORM 查询的最佳实践。话虽如此...

如果您有兴趣按照以下方式编写查询：

SELECT
    user.email,
    user.name,
    document.name,
    documents_permissions.readAllowed,
    documents_permissions.writeAllowed
FROM
    user, document, documents_permissions
WHERE
    user.email = "user@email.com";

那么你应该去寻找类似的东西：

session.query(
    User, 
    Document, 
    DocumentsPermissions
).filter(
    User.email == Document.author
).filter(
    Document.name == DocumentsPermissions.document
).filter(
    User.email == "user@email.com"
).all()

如果相反，您想要执行以下操作：

SELECT 'all the columns'
FROM user
JOIN document ON document.author_id = user.id AND document.author == User.email
JOIN document_permissions ON document_permissions.document_id = document.id AND document_permissions.document = document.name

然后你应该按照以下方式做一些事情：

session.query(
    User
).join(
    Document
).join(
    DocumentsPermissions
).filter(
    User.email == "user@email.com"
).all()

关于那个的一个注释......

query.join(Address, User.id==Address.user_id) # explicit condition
query.join(User.addresses)                    # specify relationship from left to right
query.join(Address, User.addresses)           # same, with explicit target
query.join('addresses')                       # same, using a string

有关详细信息，请访问 docs。

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一种好的风格是为权限设置一些关系和主键（实际上，通常为所有内容设置整数主键是一种很好的风格，但无论如何）：

class User(Base):
    __tablename__ = 'users'
    email = Column(String, primary_key=True)
    name = Column(String)

class Document(Base):
    __tablename__ = "documents"
    name = Column(String, primary_key=True)
    author_email = Column(String, ForeignKey("users.email"))
    author = relation(User, backref='documents')

class DocumentsPermissions(Base):
    __tablename__ = "documents_permissions"
    id = Column(Integer, primary_key=True)
    readAllowed = Column(Boolean)
    writeAllowed = Column(Boolean)
    document_name = Column(String, ForeignKey("documents.name"))
    document = relation(Document, backref = 'permissions')

然后用连接做一个简单的查询：

query = session.query(User, Document, DocumentsPermissions).join(Document).join(DocumentsPermissions)

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扩展 Abdul 的答案，您可以通过连接列获得 KeyedTuple 而不是离散的行集合：

q = Session.query(*User.__table__.columns + Document.__table__.columns).\
        select_from(User).\
        join(Document, User.email == Document.author).\
        filter(User.email == 'someemail').all()

---

此函数将生成所需的表作为元组列表。

def get_documents_by_user_email(email):
    query = session.query(
       User.email, 
       User.name, 
       Document.name, 
       DocumentsPermissions.readAllowed, 
       DocumentsPermissions.writeAllowed,
    )
    join_query = query.join(Document).join(DocumentsPermissions)

    return join_query.filter(User.email == email).all()

user_docs = get_documents_by_user_email(email)

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