• python SQLAchemy多外键关联


    关联同一张表的两个字段

    Customer表有2个字段都关联了Address表

    创建表结构

    orm_many_fk.py 只创建表结构

    from sqlalchemy import Integer, ForeignKey, String, Column
    from sqlalchemy.ext.declarative import declarative_base
    from sqlalchemy.orm import relationship
    from sqlalchemy import create_engine
    Base = declarative_base()
    
    
    class Customer(Base):
        __tablename__ = 'customer'
        id = Column(Integer, primary_key=True)
        name = Column(String(64))
    
        billing_address_id = Column(Integer, ForeignKey("address.id"))
        shipping_address_id = Column(Integer, ForeignKey("address.id"))
    
        billing_address = relationship("Address",foreign_keys=[billing_address_id]) #foreign_keys 为了区分哪个外键对应哪个字段
        shipping_address = relationship("Address",foreign_keys=[shipping_address_id])#
    
    
    class Address(Base):
        __tablename__ = 'address'
        id = Column(Integer, primary_key=True)
        street = Column(String(64))
        city = Column(String(64))
        state = Column(String(64))
    
        def __repr__(self):
            return self.street
    
    engine = create_engine("mysql+pymysql://root:@localhost/test",encoding='utf-8')
    Base.metadata.create_all(engine)  # 创建表结构
    

    orm_api.py 添加数据。查询

    from day11 import orm_many_fk
    from sqlalchemy.orm import sessionmaker
    
    Session_class = sessionmaker(bind=orm_many_fk.engine)  # 创建与数据库的会话session class ,注意,这里返回给session的是个class,不是实例
    Session = Session_class()  # 生成session实例 cursor
    
    '''
    addr1 = orm_many_fk.Address(street="Tiantongyuan",city="ChangPing",state="BeiJing")
    addr2 = orm_many_fk.Address(street="Youryuan",city="ChaoYang",state="BeiJing")
    addr3 = orm_many_fk.Address(street="baozipu",city="Haidian",state="BeiJing")
    addr4 = orm_many_fk.Address(street="qingfeng",city="Haidian",state="BeiJing")
    
    Session.add_all([addr1,addr2,addr3,addr4])
    c1 = orm_many_fk.Customer(name="Alex",billing_address=addr1,shipping_address=addr2)
    c2 = orm_many_fk.Customer(name="Jack",billing_address=addr3,shipping_address=addr3)
    
    Session.add_all([c1,c2])
    '''
    
    obj = Session.query(orm_many_fk.Customer).filter(orm_many_fk.Customer.name=='alex').first()
    print(obj.name,obj.billing_address,obj.shipping_address)
    
    Session.commit()
    

     查询结果

    多对多关系

    现在来设计一个能描述“图书”与“作者”的关系的表结构,需求是

    1. 一本书可以有好几个作者一起出版
    2. 一个作者可以写好几本书

    此时你会发现,用之前学的外键好像没办法实现上面的需求了,因为

    当然你更不可以像下面这样干,因为这样就你就相当于有多条书的记录了,太low b了,改书名还得都改。。。

    那怎么办呢? 此时,我们可以再搞出一张中间表,就可以了

    这样就相当于通过book_m2m_author表完成了book表和author表之前的多对多关联。

    创建表结构
    from sqlalchemy import Table, Column, Integer,String,DATE, ForeignKey
    from sqlalchemy.orm import relationship
    from sqlalchemy.ext.declarative import declarative_base
    from sqlalchemy import create_engine
    from sqlalchemy.orm import sessionmaker
    
    Base = declarative_base()
    
    book_m2m_author = Table('book_m2m_author', Base.metadata,
                            Column('book_id',Integer,ForeignKey('books.id')),
                            Column('author_id',Integer,ForeignKey('authors.id')),
                            )
    
    class Book(Base):
        __tablename__ = 'books'
        id = Column(Integer,primary_key=True)
        name = Column(String(64))
        pub_date = Column(DATE)
        #正向查询 通过 Book.authors 查book_m2m_author 关联到Author 反向 Author.books 查book_m2m_author 关联到Book
        authors = relationship('Author',secondary=book_m2m_author,backref='books') #secondary 声明第三张表 book_m2m_author
    
        def __repr__(self):
            return self.name
    
    class Author(Base):
        __tablename__ = 'authors'
        id = Column(Integer, primary_key=True)
        name = Column(String(32))
    
        def __repr__(self):
            return self.name
    
    engine = create_engine("mysql+pymysql://root:@localhost/test",encoding='utf-8')
    Base.metadata.create_all(engine)  # 创建表结构
    

    添加数据
    from day11 import orm_m2m
    from sqlalchemy.orm import sessionmaker
    
    Session_class = sessionmaker(bind=orm_m2m.engine)  # 创建与数据库的会话session class ,注意,这里返回给session的是个class,不是实例
    Session = Session_class()  # 生成session实例 cursor
    
    b1 = orm_m2m.Book(name="lenarn python with Alex",pub_date="2014-01-02")
    b2 = orm_m2m.Book(name="lenarn ZB with Alex",pub_date="2015-01-02")
    b3 = orm_m2m.Book(name="lenarn paolu with Alex",pub_date="2016-01-02")
    
    a1 = orm_m2m.Author(name="Alex")
    a2 = orm_m2m.Author(name="Jack")
    a3 = orm_m2m.Author(name="Rain")
    
    b1.authors = [a1,a3]
    b2.authors = [a2]
    b3.authors = [a1,a2,a3]
    
    Session.add_all([b1,b2,b3,a1,a2,a3])
    
    Session.commit()
    

     

    查询某个作者下的书

    根据作者查书

    author_obj = Session.query(orm_m2m.Author).filter(orm_m2m.Author.name =='alex').first()
    print(author_obj.books)
    print(author_obj.books[1].pub_date)
    
    Session.commit()
    

     运行结果

    [lenarn python with Alex, lenarn paolu with Alex]
    2016-01-02
    

     根据书查作者

    book_obj = Session.query(orm_m2m.Book).filter(orm_m2m.Book.id ==2).first()
    print(book_obj.authors)
    Session.commit()
    

      运行结果

    [Rain, Jack, Alex]
    
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  • 原文地址:https://www.cnblogs.com/qing-chen/p/7727177.html
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