一、利用filter
import sqlalchemy from sqlalchemy import create_engine from sqlalchemy.ext.declarative import declarative_base from sqlalchemy import Column, Integer, String from sqlalchemy.orm import sessionmaker from sqlalchemy import func # 鏈接方式 mysql+pymysql 用戶名 root 密碼 123456 主機 localhost 庫 testdb encoding 字符集 engine = create_engine("mysql+pymysql://root:123456@localhost/testdb",encoding='utf-8', echo=True) Base = declarative_base() # 生成orm基類 class User(Base): __tablename__ = 'user' # 表名 id = Column(Integer, primary_key=True) name = Column(String(32)) password = Column(String(64)) def __repr__(self): return "<%s name:%s>" % (self.id,self.name) class Student(Base): __tablename__ = 'student' # 表名 id = Column(Integer,primary_key=True) name = Column(String(32),nullable=False) register_data = Column(DATE,nullable=False) gender=Column(String(32),nullable=False) def __repr__(self): return "<%s name:%s>" % (self.id,self.name) Base.metadata.create_all(engine) # 建立表結構 Session_class = sessionmaker(bind=engine) # 建立與數據庫的會話session class ,注意,這裏返回給session的是個class,不是實例 Session = Session_class() # 生成session實例 cursor print(Session.query(User,Student).filter(User.id==Student.id).all())
2 、joinpython
這個要求A表和B表必須有FOREIGN KEY的關係才能夠。mysql
Session.query(User).join(Student).all()
Session.query(User).join(Student,isouter=True).all()
用戶表、課程表、用戶與課程中間表sql
import sqlalchemy from sqlalchemy import create_engine from sqlalchemy.ext.declarative import declarative_base from sqlalchemy import Column, Integer, String,ForeignKey,DATE from sqlalchemy.orm import sessionmaker from sqlalchemy import func # 鏈接方式 mysql+pymysql 用戶名 root 密碼 123456 主機 localhost 庫 testdb encoding 字符集 engine = create_engine("mysql+pymysql://root:@localhost/test",encoding='utf-8', echo=True) Base = declarative_base() # 生成orm基類 class Student(Base): __tablename__='student' id = Column(Integer,primary_key=True) name=Column(String(32),nullable=False) register_date=Column(DATE,nullable=False) def __repr__(self): return "<%s name:%s>" % (self.id,self.name) class StudyRecord(Base): __tablename__='study_record' id = Column(Integer,primary_key=True) day = Column(Integer,nullable=False) status = Column(String(32),nullable=False) stu_id = Column(Integer,ForeignKey('student.id')) def __repr__(self): return "<%s name:%s>" % (self.id,self.day) Base.metadata.create_all(engine) # 建立表結構
以上先建立兩張表數據庫
Session_class = sessionmaker(bind=engine) Session = Session_class() # 生成session實例 cursor s1 = Student(name='Alex',register_date='2017-10-24') s2 = Student(name='jack',register_date='2017-10-24') s3 = Student(name='rain',register_date='2017-10-24') s4 = Student(name='Lily',register_date='2017-10-24') s5 = Student(name='Lucy',register_date='2017-10-24') study_obj1 = StudyRecord(day=1,status='yes',stu_id=1) study_obj2 = StudyRecord(day=2,status='yes',stu_id=1) study_obj3 = StudyRecord(day=3,status='yes',stu_id=1) study_obj4 = StudyRecord(day=1,status='yes',stu_id=2) study_obj5 = StudyRecord(day=2,status='yes',stu_id=2) Session.add_all([s1,s2,s3,s4,s5,study_obj1,study_obj2,study_obj3,study_obj4,study_obj5]) Session.commit() # 現此才統一提交,建立數據
先看一個比較牛的東西:反查。經過設置的一個字段反向查詢關聯的表。關聯表也能夠根據這個字段查詢當前表。雙向反查。session
class StudyRecord(Base): __tablename__='study_record' id = Column(Integer,primary_key=True) day = Column(Integer,nullable=False) status = Column(String(32),nullable=False) stu_id = Column(Integer,ForeignKey('student.id')) student = relationship('Student',backref='my_classes') #指定關聯的表 Student, backref def __repr__(self): return "<%s day:%s status:%s>" % (self.student.name,self.day,self.status)
Base.metadata.create_all(engine) # 建立表結構
Session_class = sessionmaker(bind=engine)
Session = Session_class() # 生成session實例 cursor
Stu_obj = Session.query(Student).filter(Student.name=='alex').first()
print(Stu_obj.my_classes)
首先 stu_id爲ForeignKey,
函數relationship()
函數將告知ORM經過StudyRecord.student 關聯到類Student。
會使用兩個表的外鍵約束來斷定這種連接的性質。backref提供一種反向的查詢。relationship()
Student經過
.my_classes反向查詢到StudyRecord。 Student