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  • sqlalchemy——多表操作

    一对多;一对一

    # one -- many
    class Students(Base):
        __tablename__ = "students"
        sid = Column(Integer, primary_key=True)
        name = Column(String(30))
        age = Column(Integer)
        tid = Column(Integer, ForeignKey("teachers.tid"))  # 声明字段值受到另一个表的字段值得约束,注意是<表名>
    
        tec = relationship("Teachers", backref='std')   # 注意只能类名,backref可以单独写,back_populates必须成对出现
    
        def __str__(self):
            return self.name
    
    
    class Teachers(Base):
        __tablename__ = "teachers"
        tid = Column(Integer, primary_key=True)
        name = Column(String(30))
        age = Column(Integer)
    
        def __str__(self):
            return self.name
    
    
    Base.metadata.create_all(engine)
    
    Session = sessionmaker(bind=engine)
    session = Session()
    
    # 添加数据/关系
    # 方法一
    # t_1 = Teachers(name='t_1')
    # t_2 = Teachers(name='t_2')
    # session.add_all([t_1, t_2])
    # session.commit()
    #
    # s_1 = Students(name="s_1", tid=t_1.tid)
    # s_2 = Students(name='s_2', tid=t_1.tid)
    #
    # session.add_all([s_1, s_2])
    # session.commit()
    
    # 方法二
    # t_1 = Teachers(name='t_1')
    # t_2 = Teachers(name='t_2')
    # s_1 = Students(name="s_1")
    # s_2 = Students(name='s_2')
    # t_1.std=[s_1,s_2]    
    # t_2.std=[s_2]
    # session.add_all([t_1, t_2]) # 1.会自动添加s_1,s_2; 2.会自动建立关系
    # session.commit()
    
    # 方法三
    s_3 = Students(name='s_3')
    t_1_q = session.query(Teachers).filter_by(name='t_1').first()
    t_1_q.std.append(s_3)
    session.commit()
    
    ### 删除
    
    class Teachers(Base):
        __tablename__ = "teachers"
        tid = Column(Integer, primary_key=True)
        name = Column(String(30))
        age = Column(Integer)
    
        # std = relationship("Students", back_populates='tec',cascade='all,delete-orphan')  # 当使用back_populates时,级联删除标识只能写在这里;后期添加依然生效,但不建议;
    
        def __str__(self):
            return self.name
    
    
    class Students(Base):
        __tablename__ = "students"
        sid = Column(Integer, primary_key=True)
        name = Column(String(30))
        age = Column(Integer)
        tid = Column(Integer, ForeignKey("teachers.tid"))
    
        # tec = relationship("Teachers", back_populates='std')
        # tec = relationship("Teachers", backref='std',cascade='all,delete-orphan')  # error
        tec = relationship("Teachers", backref=backref('std',cascade='all,delete-orphan'))  # 如果使用backref那么只能这种写法,同时级联删除标识写在此处,后期添加依旧有效,但不建议
    
    
    
        def __str__(self):
            return self.name
    
    
    
    # one -- many
    ###非级联删除
    # t_1 = Teachers(name='t1', age=18)
    # session.add(t_1)
    # session.commit() # 如果不提交,那么 t_1 是没有ID的,所以该对象不能使用,如果非要在不提交的情况下使用,那么可以使用query(t_1) 得到一个对象,赋予它id
    # s_1 = Students(name='s1', tid=t_1.tid)
    # s_2 = Students(name='s2', tid=t_1.tid)
    # session.add_all([s_1, s_2])
    # session.commit()
    
    # t_1 = session.query(Teachers).filter_by(name='t1').first()
    # session.delete(t_1)  # 默认非级联删除.即:1.删除1的部分后,多的部分的相关字段自动置为Null;此例中:删除老师之后,学生的tid字段变为了NULL
    # session.commit()
    
    
    # s_1 = session.query(Students).filter_by(name='s1').first()
    # s_2 = session.query(Students).filter_by(name='s2').delete()
    # session.delete(s_1) # 删除多的部分之后, 1 的部分不受影响.此例中:删除学生之后,教师表不受任何影响.
    # session.commit()
    
    
    ### 级联删除
    class Students(Base):
        __tablename__ = "students"
        sid = Column(Integer, primary_key=True)
        name = Column(String(30))
        age = Column(Integer)
        tid = Column(Integer, ForeignKey("teachers.tid"))  # 声明字段值受到另一个表的字段值得约束,注意是<表名>
    
        # tec = relationship("Teachers", backref = backref('std',cascade="delete,delete-orphan"))  # 注意只能类名,backref可以单独写,back_populates必须成对出现
        # tec = relationship("Teachers", backref = backref('std',cascade="all,delete-orphan"))  # 注意只能类名,backref可以单独写,back_populates必须成对出现
        tec = relationship("Teachers", backref = backref('std',cascade="all,delete,delete-orphan"))  # 注意只能类名,backref可以单独写,back_populates必须成对出现
        # tec = relationship("Teachers", backref = backref('std',cascade="delete-orphan"))  # error
    
        def __str__(self):
            return self.name
    
    
    class Teachers(Base):
        __tablename__ = "teachers"
        tid = Column(Integer, primary_key=True)
        name = Column(String(30))
        age = Column(Integer)
    
        def __str__(self):
            return self.name
    
    # Base.metadata.drop_all(engine)
    Base.metadata.create_all(engine)
    
    Session = sessionmaker(bind=engine)
    session = Session()
    
    #####one -- many
    # t_1 = Teachers(name='t1', age=18)
    # session.add(t_1)
    # session.commit() # 如果不提交,那么 t_1 是没有ID的,所以该对象不能使用,如果非要在不提交的情况下使用,那么可以使用query(t_1) 得到一个对象,赋予它id
    # s_1 = Students(name='s1', tid=t_1.tid)
    # s_2 = Students(name='s2', tid=t_1.tid)
    # session.add_all([s_1, s_2])
    # session.commit()
    
    t_1 = session.query(Teachers).filter_by(name='t1').first()
    session.delete(t_1)  # 当在relationship字段中设置了 cascade 属性之后,就会变为级联删除
    session.commit()
    
    ### one -- one  
    ## 在 one 一方(即没有FK字段的一方)的 relationship 增加参数 uselist=False
    
    
    class Parent(Base):
        __tablename__ = 'parent'
        id = Column(Integer, primary_key=True)
        name = Column(String(30))
        child = relationship("Child", uselist=False, back_populates="parent")
    
    class Child(Base):
        __tablename__ = 'child'
        id = Column(Integer, primary_key=True)
        name = Column(String(30))
        parent_id = Column(Integer, ForeignKey('parent.id'))
        parent = relationship("Parent", back_populates="child")
    
    # Base.metadata.drop_all(engine)
    Base.metadata.create_all(engine)
    Session = sessionmaker(engine)
    sess = Session()
    
    # p_1 = Parent(name="p_1")
    # sess.add(p_1)
    # sess.commit()
    # c_1 = Child(name="c_1", parent_id=p_1.id)
    # sess.add_all([c_1])
    # sess.commit()
    # c_2 = Child(name='c_2',parent_id=p_1.id)
    # sess.add(c_2)
    # sess.commit()
    
    # 虽然指定了 uselist为False,但是还是可以对同一个对象进行多次外键链接的。
    # 虽然有多个外键链接,但是查找的时候,也只会显示第一个,并不会报错.
    
    p_1_q = sess.query(Parent).filter_by(name='p_1').first()
    print(p_1_q.name)
    print(p_1_q.child)
    
    
    ### one -- one another
    
    class Parent(Base):
        __tablename__ = 'parent'
        id = Column(Integer, primary_key=True)
        name = Column(String(3))
        child_id = Column(Integer, ForeignKey('child.id'))
        child = relationship("Child", back_populates="parent")
    
    class Child(Base):
        __tablename__ = 'child'
        id = Column(Integer, primary_key=True)
        name = Column(String(3))
        parent = relationship("Parent", back_populates="child", uselist=False)
    
    Base.metadata.drop_all(engine)
    Base.metadata.create_all(engine)
    
    c_1 = Child(name="c_1")
    sess.add(c_1)
    sess.commit()
    
    p_1 = Parent(name="p_1",child_id=c_1.id)
    p_2 = Parent(name="p_2",child_id=c_1.id)
    sess.add_all([p_1, p_2])
    sess.commit()
    
    c_1_q = sess.query(Child).filter_by(name='c_1').first()
    print(c_1_q.name)
    print(c_1_q.parent)
    
    
    # 利用 unique 建立真正的 one -- one 关系
    class Parent(Base):
        __tablename__ = 'parent'
        id = Column(Integer, primary_key=True)
        name = Column(String(30))
        child = relationship("Child", uselist=False, back_populates="parent")
    
    class Child(Base):
        __tablename__ = 'child'
        id = Column(Integer, primary_key=True)
        name = Column(String(30))
        parent_id = Column(Integer, ForeignKey('parent.id'),unique=True)  # 通过限制外键的唯一性来真正建立一对一的关系
        parent = relationship("Parent", back_populates="child")
    
    # Base.metadata.drop_all(engine)
    Base.metadata.create_all(engine)
    Session = sessionmaker(engine)
    sess = Session()
    
    # p_1 = Parent(name="p_1")
    # sess.add(p_1)
    # sess.commit()
    # c_1 = Child(name="c_1", parent_id=p_1.id)
    # sess.add_all([c_1])
    # sess.commit()
    p_1_q = sess.query(Parent).filter_by(name='p_1').first()
    print(p_1_q.child.name)
    
    # c_2 = Child(name='c_2',parent_id=p_1_q.id)
    # sess.add(c_2)
    # sess.commit()  # error 因为 unique的存在
    
    # p_2 = Parent(name='p_2')
    # sess.add(p_2)
    # sess.commit()
    # c_2 = Child(name='c_2',parent_id=p_2.id)
    # sess.add(c_2)
    # sess.commit()
    
    # 修改关系
    
    # t_1 = Teachers(name='t1', age=18)
    # t_2 = Teachers(name='t2', age=20)
    # session.add(t_1)
    # session.add(t_2)
    # session.commit() # 如果不提交,那么 t_1 是没有ID的,所以该对象不能使用,如果非要在不提交的情况下使用,那么可以使用query(t_1) 得到一个对象,赋予它id
    # s_1 = Students(name='s1', tid=t_1.tid)
    # s_2 = Students(name='s2', tid=t_1.tid)
    # session.add_all([s_1, s_2])
    # session.commit()
    
    
    #  删除关系
    # t_1_q = session.query(Teachers).filter_by(name='t1').first()
    # for i in t_1_q.std:   # t_1_q.std 是一个列表,我们可以以python的方式来删除其中的元素
    #     print(i.name)
    # # s_1 = t_1_q.std.pop()
    # # print(s_1.name)
    # # session.commit()  # 再次查看 学生表,会发现 学生 s2 的老师一栏变为了null 这说明,删除的只是 二者之间的关系
    # s_2 = session.query(Students).filter_by(name='s1').first()
    # t_1_q.std.remove(s_2)
    # session.commit()  #   # 再次查看 学生表,会发现 学生 s2 的老师一栏变为了null 这说明,删除的只是 二者之间的关系
    # print(len(t_1_q.std))
    
    # 另外一种删除关系的方式 :直接修改学生的关系属性
    # s_1 = session.query(Students).filter_by(name='s1').first()
    # s_1.tid = None
    # session.commit()
    # t_1_q = session.query(Teachers).filter_by(name='t1').first()
    # for i in t_1_q.std:
    #     print(i.name)
    
    # 添加关系
    # 指定学生的外键来 建立学生 -教师关系
    # t_2_q = session.query(Teachers).filter_by(name='t2').first()
    # s_4= Students(name='s4',tid=t_2_q.tid)
    # session.add(s_4)
    # session.commit()
    # for i in t_2_q.std:
    #     print(i.name)
    
    # 另一种建立师-生关系的方式
    # s_3 = Students(name='s3')  # 我们并没有指定学生的id
    # session.add(s_3)
    # session.commit()
    # t_2_q = session.query(Teachers).filter_by(name='t2').first()
    # s_3_q = session.query(Students).filter_by(name='s3').first()
    # print(t_2_q.name)
    # print(s_3_q.name)
    # for i in t_2_q.std:
    #     print(i.name)
    # t_2_q.std.append(s_3_q)  # 我们可以通过修改教师的std属性(利用列表的方式)来增加 实现学生-教师之间的关系,进而发现学生的tid属性也发生了更改
    # print("___"*30)
    # for i in t_2_q.std:
    #     print(i.name)
    # session.commit()

    多表查询

    class Students(Base):
        __tablename__ = "students"
        sid = Column(Integer, primary_key=True)
        name = Column(String(30))
        age = Column(Integer)
        math = Column(Integer)
        tid = Column(Integer, ForeignKey("teachers.tid"))  # 声明字段值受到另一个表的字段值得约束,注意是<表名>
    
        tec = relationship("Teachers", backref='std')  # 注意只能类名,backref可以单独写,back_populates必须成对出现
    
        def __str__(self):
            return self.name
    
    
    class Teachers(Base):
        __tablename__ = "teachers"
        tid = Column(Integer, primary_key=True)
        name = Column(String(30))
        age = Column(Integer)
    
        def __str__(self):
            return self.name
    
    
    Base.metadata.create_all(engine)
    
    Session = sessionmaker(bind=engine)
    session = Session()
    
    # t_1 = Teachers(name='t1',age=28)
    # t_2 = Teachers(name='t2',age=29)
    # session.add_all([t_1, t_2])
    # session.commit()
    
    # s_1 = Students(name='s1',age=10,math=50,tid=t_1.tid)
    # s_2 = Students(name='s2',age=20,math=70,tid=t_1.tid)
    # s_3 = Students(name='s3',age=22,math=40,tid=t_2.tid)
    # s_4 = Students(name='s4',age=20,math=80,tid=t_2.tid)
    # session.add_all([s_1, s_2, s_3, s_4])
    # session.commit()
    
    # join 连表查询
    # q_1 = session.query(Students).join(Teachers).filter(Students.math>60).all()
    # q_2 = session.query(Students.name,Teachers.name).join(Teachers).filter(Students.math>60).all()
    # for i in q_1:
    #     print(i.name)
    # for i in q_2:
    #     print(i)
    
    
    # contains
    # s_1_q = session.query(Students).filter(Students.math==80).one()
    # print(s_1_q)
    # t_1_q = session.query(Teachers).filter(Teachers.std.contains(s_1_q)).one()
    # print(t_1_q.name)
    
    # any ==
    # t_2_q = session.query(Teachers).filter(Teachers.std.any(Students.math == 80)).all()
    # for i in t_2_q:
    #     print(i.name)
    # any =
    # t_3_q = session.query(Teachers).filter(Teachers.std.any(math=80)).one()
    # print(t_3_q.name)
    
    # 查找同类型的其他记录
    # s_3_q = session.query(Students).filter(Students.tec.has(Teachers.tid==1)).all()
    # for i in s_3_q:
    #     print(i.name)
    
    # t_4_q = session.query(Teachers).filter_by(tid=1).one()
    # print(t_4_q)
    # s_4_q = session.query(Students).with_parent(t_4_q).all()
    # for i in s_4_q:
    #     print(i.name)

    多对多关系

    第一种

    tec_std = Table("tec_std_rel",
                    Base.metadata,
                    Column("tec_id", ForeignKey("teachers.tid"), primary_key=True),
                    Column("std_id", ForeignKey("students.sid"), primary_key=True)
                    )
    
    
    class Teacher(Base):
        __tablename__ = "teachers"
        tid = Column(Integer, primary_key=True)
        name = Column(String(30))
        subject = Column(String(10))
    
        students = relationship("Student",
                                secondary=tec_std,  # 可以使用表的变量名
                                back_populates="teachers")
    
        def __str__(self):
            return self.name
    
    
    class Student(Base):
        __tablename__ = "students"
        sid = Column(Integer, primary_key=True)
        name = Column(String(30))
        math = Column(Integer)
        teachers = relationship("Teacher",
                                secondary="tec_std_rel",  # 也可以使用表名
                                back_populates="students")
    
        def __str__(self):
            return self.name
    
    
    Base.metadata.drop_all(engine)
    Base.metadata.create_all(engine)
    Session  = sessionmaker(engine)
    sess = Session()
    
    
    lilei = Teacher(name='lilei',subject='math')
    hanmeimei = Teacher(name='hanmeimei', subject='chinese')
    
    xiaohong = Student(name='xiaohong',math=80)
    xiaoming = Student(name='xiaoming',math=90)
    xiaogang = Student(name='xiaogang',math=70)
    
    
    # 添加记录/关系
    lilei.students = [xiaohong, xiaogang]
    lilei.students.append(xiaoming)
    hanmeimei.students.extend([xiaohong,xiaogang,xiaoming])  # 以上方式都会自动添加相关记录
    sess.add(hanmeimei)
    sess.add(lilei)
    sess.commit()
    
    # lilei_q = sess.query(Teacher).filter_by(name='lilei').one()
    # xiaogang.teachers.append(lilei_q) # 注意:这里如果直接使用上面的变量lilei那么会在teachers表中增加新的一条记录。
    # sess.add(xiaogang)
    # sess.commit()  # 这种方式也可以添加相关记录
    
    # 删除关系
    # lilei_q = sess.query(Teacher).filter(Teacher.subject == 'math').one()
    # print(lilei_q)
    # for i in lilei_q.students:
    #     print(i.name)
    
    # xiaohong_q = sess.query(Student).filter(Student.name == 'xiaohong').one()
    # lilei_q.students.remove(xiaohong_q)
    #
    # lilei_q.students.pop(1)  # 以上两种方式删除的仅仅是关系
    # sess.commit()
    
    # 删除记录
    # hanmeimei_q = sess.query(Teacher).filter(Teacher.name == 'hanmeimei').one()
    # print(hanmeimei_q)
    # sess.delete(hanmeimei_q)  # 会把选中的记录及其相关关系都会删除,但是其关联的实体记录不受影响。即:只会删除教师表和关系表,学生表不受影响
    # sess.commit()
    # lilei_q = sess.query(Teacher).filter(Teacher.name == 'lilei').delete()  # error 因为外键关系的存在,此种删除方式会报错
    # sess.commit()
    
    # 级联删除  Teacher.relationship (后期)增加cascade='all,delete-orphan', single_parent=True 参数
    # hanmeimei_q = sess.query(Teacher).filter_by(name='hanmeimei').one()
    # print(hanmeimei_q)
    # sess.delete(hanmeimei_q) # 此种方式删除,会将Teachers中选中记录删除,同时会因为级联原因删除学生记录以及关系记录,又因为删除了学生记录,所以又会把关系表中的相关记录都删掉
    # sess.commit()
    
    
    # single_parent 意思是禁止多个记录与我建立关系
    # order_by="TargeClass.col' 顺序排列
    # order_by = '-Target.col' 逆序排列
    # lilei_q = sess.query(Teacher).filter_by(name='lilei').one()
    # for i in lilei_q.students:
    #     print(i.name+str(i.math))

    第二种多对多

    class TecStd(Base):
        __tablename__ = "tec_std_rel"
        tec_id = Column(Integer, ForeignKey("teachers.tid"), primary_key=True)  # 需要把此表分别和Tec和Std两个结合着看,故需要两个primary_key
        std_id = Column(Integer, ForeignKey("students.sid"), primary_key=True)
        extra_data = Column(String(100))
        teachers = relationship("Teacher", back_populates='students')  # 此back_populates与 Teachers的bp相对应
        students = relationship("Student", back_populates='teachers')  # 此back_populates与Studentsde的bp相对应
    
    
    class Teacher(Base):
        __tablename__ = "teachers"
        tid = Column(Integer, primary_key=True)
        name = Column(String(30))
        subject = Column(String(10))
    
        students = relationship("TecStd",  # 和第三张表相关联
                                back_populates="teachers",cascade='all,delete-orphan')
    
        def __str__(self):
            return self.name
    
    
    class Student(Base):
        __tablename__ = "students"
        sid = Column(Integer, primary_key=True)
        name = Column(String(30))
        teachers = relationship("TecStd",
                                back_populates="students",cascade='all,delete-orphan')
    
        def __str__(self):
            return self.name
    
    
    # Base.metadata.drop_all(engine)
    Base.metadata.create_all(engine)
    
    lilei = Teacher(name='lilei', subject='math')
    hanmeimei = Teacher(name='hanmeimei', subject='chinese')
    
    xiaohong = Student(name='xiaohong')
    xiaoming = Student(name='xiaoming')
    xiaogang = Student(name='xiaogang')
    
    # lilei.students = [xiaohong, xiaoming, xiaogang]  # error
    # hanmeimei.students = [xiaogang, xiaoming, xiaogang]  # error
    # sess.add_all([lilei, hanmeimei])
    # sess.commit()
    
    # 方法一
    t_1 = TecStd(extra_data='ts')
    t_2 = TecStd(extra_data='ts')
    t_3 = TecStd(extra_data='ts')
    t_1_1 = TecStd(extra_data='ts')
    t_2_1 = TecStd(extra_data='ts')
    t_3_1 = TecStd(extra_data='ts')
    t_1.students = xiaoming
    t_2.students = xiaohong
    t_3.students = xiaogang
    t_1_1.students = xiaoming
    t_2_1.students = xiaohong
    t_3_1.students = xiaogang
    print(lilei.students)
    lilei.students.extend([t_1,t_2,t_3])
    hanmeimei.students.extend([t_1_1, t_2_1,t_3_1])
    # sess.add_all([lilei,hanmeimei])
    # sess.commit()
    #
    # 方法二
    # sess.add_all([lilei, hanmeimei, xiaohong, xiaoming, xiaogang])
    # sess.commit()
    # li_1 = sess.query(Teacher).filter_by(name='lilei').one()
    # xiaogang_1 = sess.query(Student).filter_by(name='xiaogang').one()
    # xiaohong_1 = sess.query(Student).filter_by(name='xiaohong').one()
    # xiaoming_1 = sess.query(Student).filter_by(name='xiaoming').one()
    # t_1 = TecStd(tec_id=li_1.tid, std_id=xiaogang_1.sid, extra_data='lg')
    # t_2 = TecStd(tec_id=li_1.tid, std_id=xiaohong_1.sid, extra_data='lh')
    # t_3 = TecStd(tec_id=li_1.tid, std_id=xiaoming_1.sid, extra_data='lm')
    # sess.add_all([t_1, t_2, t_3])
    # sess.commit()
    
    
    # 删除记录
    # relationship  添加了级联删除标识,就可以删除teachers了,,同时关系表中的相关记录也会被删除,但依旧不会删除students中的记录
    # lilei_q = sess.query(Teacher).filter_by(name='lilei').one()
    # sess.delete(lilei_q)
    # sess.commit()
    
    # xiaohong_q = sess.query(Student).filter_by(name='xiaohong').one()
    # print(xiaohong_q.teachers)
    # sess.delete(xiaohong_q)
    # sess.commit()
    
    
    
    # 删除关系
    #  需要级联标删除识符
    lilei_q = sess.query(Teacher).filter_by(name='lilei').one()
    # print(lilei_q.students)
    # for i in lilei_q.students:
    #     print(i)
    #     print(i.students.name)
    # lilei_q.students.pop()
    # sess.commit()
    #  需要级联标删除识符
    # xiaohong_1 = sess.query(Student).filter_by(name='xiaohong').one()
    # r_1_q = sess.query(TecStd).filter(TecStd.tec_id == lilei_q.tid).filter(TecStd.std_id==xiaohong_1.sid).one()
    # print(r_1_q)
    # lilei_q.students.remove(r_1_q)
    # sess.commit()
    
    
    # 不需要级联标删除识符
    # xiaohong_1 = sess.query(Student).filter_by(name='xiaohong').one()
    # r_1_q = sess.query(TecStd).filter(TecStd.tec_id == lilei_q.tid).filter(TecStd.std_id==xiaohong_1.sid).one()
    # print(r_1_q)
    # sess.delete(r_1_q)
    # sess.commit()
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  • 原文地址:https://www.cnblogs.com/yangmingxianshen/p/8411972.html
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