建立表之间带关系
建立外键
在address添加user的外键
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<code class="hljs haskell">from sqlalchemy import ForeignKey, Column, String, Integer
from sqlalchemy.orm import relationship
class User(Base):
__tablename__ = 'users'
id = Column(Integer, primary_key=True)
name = Column(String)
fullname = Column(String)
password = Column(String)
class Address(Base):
__tablename__ = 'addresses'
id = Column(Integer, primary_key=True)
email_address = Column(String, nullable=False)
user_id = Column(Integer, ForeignKey('users.id'))
user = relationship('User', backref=backref('addresses', order_by=id))</code>
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relationship中的backref参数使用形式:
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<code class="hljs bash">backref="addresses" #直接使用表名的字符串
backref=backref('addresses') #使用backref函数
backref=backref('addresses', order_by=id)) #brackref函数可以添加参数,详见http://docs.sqlalchemy.org/en/rel_1_0/orm/backref.html#backref-arguments</code>
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可以使用user.addresses 从user获取address 和,使用address.users 虫address获取user
backref 会在User跟Address上都加上关系,它本质是:
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<code class="hljs mathematica">from sqlalchemy import Integer, ForeignKey, String, Column
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship
Base = declarative_base()class User(Base):
__tablename__ = 'user'
id = Column(Integer, primary_key=True)
name = Column(String)
addresses = relationship("Address", back_populates="user")
class Address(Base):
__tablename__ = 'address'
id = Column(Integer, primary_key=True)
email = Column(String)
user_id = Column(Integer, ForeignKey('user.id'))
user = relationship("User", back_populates="addresses")</code>
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relationship中的
添加
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<code class="hljs r">>>> jack.addresses = [
... Address(email_address='jack@google.com'),
... Address(email_address='j25@yahoo.com')]</code>
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获取
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<code class="hljs scss">>>> jack.addresses[1]
>>> jack.addresses[1].user
<user(name='jack', fullname="Jack Bean" password="gjffdd"></user(name='jack',></address(email_address='j25@yahoo.com')></code>
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commit
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<code class="hljs avrasm">session.add(jack)
session.commit()</code> |
address 会自动的添加
one to many 关系
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<code class="hljs mathematica">class Parent(Base):
__tablename__ = 'parent'
id = Column(Integer, primary_key=True)
children = relationship("Child", backref="parent")
class Child(Base):
__tablename__ = 'child'
id = Column(Integer, primary_key=True)
parent_id = Column(Integer, ForeignKey('parent.id'))</code>
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many to one 关系
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<code class="hljs mathematica">class Parent(Base):
__tablename__ = 'parent'
id = Column(Integer, primary_key=True)
child_id = Column(Integer, ForeignKey('child.id'))
child = relationship("Child", backref="parents")
class Child(Base):
__tablename__ = 'child'
id = Column(Integer, primary_key=True)</code>
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one to one 关系
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<code class="hljs python">from sqlalchemy.orm import backref
class Parent(Base):
__tablename__ = 'parent'
id = Column(Integer, primary_key=True)
child_id = Column(Integer, ForeignKey('child.id'))
child = relationship("Child", backref=backref("parent", uselist=False))
class Child(Base):
__tablename__ = 'child'
id = Column(Integer, primary_key=True)</code>
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many to many 关系
需要一个中间表和在relatonship 添加secondary参数
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<code class="hljs mathematica">association_table = Table('association', Base.metadata,
Column('left_id', Integer, ForeignKey('left.id')),
Column('right_id', Integer, ForeignKey('right.id'))
)class Parent(Base):
__tablename__ = 'left'
id = Column(Integer, primary_key=True)
children = relationship("Child",
secondary=association_table,
backref="parents")
class Child(Base):
__tablename__ = 'right'
id = Column(Integer, primary_key=True)</code>
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这样在child添加删除parent或者parent添加删除child时,无需对中间表进行操作,直接添加删除即可。
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<code class="hljs avrasm">parent.children.append(child)
child.parents.append(parent)</code> |
也可以 使用类来创建中间表,这样可以在中间表中保存一些其他的信息。但是就不能想前面一样自动对中间表进行操作。
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<code class="hljs mathematica">class Association(Base):
__tablename__ = 'association'
left_id = Column(Integer, ForeignKey('left.id'), primary_key=True)
right_id = Column(Integer, ForeignKey('right.id'), primary_key=True)
extra_data = Column(String(50))
child = relationship("Child", back_populates="parents")
parent = relationship("Parent", back_populates="children")
class Parent(Base):
__tablename__ = 'left'
id = Column(Integer, primary_key=True)
children = relationship("Association", back_populates="parent")
class Child(Base):
__tablename__ = 'right'
id = Column(Integer, primary_key=True)
parents = relationship("Association", back_populates="child")</code>
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可以使用Query.join()
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<code class="hljs r">>>> session.query(User).join(Address).\
... filter(Address.email_address=='jack@google.com').\
... all()[<user(name='jack', fullname="Jack Bean" password="gjffdd">]</user(name='jack',></code>
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在User上可以直接使用join(Address) 因为只有一个外建在User和Address之间,其他join形式:
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<code class="hljs vbscript">query.join(Address, User.id==Address.user_id) # explicit condition
query.join(User.addresses) # specify relationship from left to rightquery.join(Address, User.addresses) # same, with explicit targetquery.join('addresses') # same, using a string</code>
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使用外链接
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<code class="hljs avrasm">query.outerjoin(User.addresses) # 默认是左外连接。</code>
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当query中有多个实体点使用,使用join默认join追左边的那个,
例如:
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<code class="hljs avrasm">query = session.query(User, Address).join(User) # 报错
query = session.query(Address, User).join(User) # 正确</code> |
如果想自定使用join那个表,可以使用select_form
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<code class="hljs avrasm">query = Session.query(User, Address).select_from(Address).join(User)</code>
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alias 别名
如果想join自己,可以使用别名
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<code class="hljs cs">from sqlalchemy.orm import aliased
adalias1 = aliased(Address)adalias2 = aliased(Address)for username, email1, email2 in \
session.query(User.name, adalias1.email_address, adalias2.email_address).\
join(adalias1, User.addresses).\
join(adalias2, User.addresses).\
filter(adalias1.email_address=='jack@google.com').\
filter(adalias2.email_address=='j25@yahoo.com'):
print(username, email1, email2)</code>
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使用子查询
直接看官方文档的例子:
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<code class="hljs r">>>> from sqlalchemy.sql import func
>>> stmt = session.query(Address.user_id, func.count('*').\
... label('address_count')).\
... group_by(Address.user_id).subquery()>>> for u, count in session.query(User, stmt.c.address_count).\
... outerjoin(stmt, User.id==stmt.c.user_id).order_by(User.id):... print(u, count)<user(name='ed', fullname="Ed Jones" password="f8s7ccs"> None
<user(name='wendy', fullname="Wendy Williams" password="foobar"> None
<user(name='mary', fullname="Mary Contrary" password="xxg527"> None
<user(name='fred', fullname="Fred Flinstone" password="blah"> None
<user(name='jack', fullname="Jack Bean" password="gjffdd"> 2</user(name='jack',></user(name='fred',></user(name='mary',></user(name='wendy',></user(name='ed',></code>
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使用EXISTS
看官方文档的例子:
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<code class="hljs r">>>> from sqlalchemy.sql import exists
>>> stmt = exists().where(Address.user_id==User.id)SQL>>> for name, in session.query(User.name).filter(stmt):
... print(name)jack</code> |
等价于:
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<code class="hljs r">>>> for name, in session.query(User.name).\
... filter(User.addresses.any()):... print(name)jack</code> |
user.addresses 可以像user中其他属性一样在filter使用==、!=、any等等。
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<code class="hljs livecodeserver">query.filter(Address.user == someuser)
query.filter(Address.user != someuser)query.filter(Address.user == None)query.filter(User.addresses.contains(someaddress))query.filter(User.addresses.any(Address.email_address == 'bar'))# also takes keyword arguments:
query.filter(User.addresses.any(email_address='bar'))
query.filter(Address.user.has(name='ed'))
session.query(Address).with_parent(someuser, 'addresses')</code>
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