import sqlalchemy

from sqlalchemy import create_engine

from sqlalchemy.ext.declarative import declarative_base

'''Column导入'''

from sqlalchemy import Column, String, Integer, DATE,ForeignKey

'''导入游标'''

from sqlalchemy.orm import sessionmaker,relationship

engine =create_engine("mysql+pymysql://xiaopang:521521@192.168.50.129/oldboydb",

encoding='utf-8') #可以加echo=True显示数据

'''生成orm基类'''

Base =declarative_base()

class Student(Base):

__tablename__ = 'student' # 表名

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"))

student = relationship("Student", backref="my_study_record")

def __repr__(self):

return "< %s day:%s status:%s>" % (self.student.name,self.day,self.status)

Base.metadata.create_all(engine) # 创建表结构

Session_class=sessionmaker(bind=engine)

Session=Session_class() # 生成session实例相当于cursor游标

'''多表插入数据'''

# s1 =Student(name="goupang",register_date="2018-06-01")

# s2 =Student(name="siwanyi",register_date="2018-06-02")

# s3 =Student(name="yaosini",register_date="2018-06-03")

# s4 =Student(name="xiaopang",register_date="2018-06-04")

# study_obj1=StudyRecord(day=1,status="Yes",stu_id=1)

# study_obj2=StudyRecord(day=2,status="No",stu_id=1)

# study_obj3=StudyRecord(day=3,status="Yes",stu_id=1)

# study_obj4=StudyRecord(day=1,status="Yes",stu_id=2)

#Session.add_all([study_obj1,study_obj2,study_obj3,study_obj4])

'''多表查询'''

stu_obj=Session.query(Student).filter().first()

#调用my_study_record就是StudyRecord里面的所有属性(所有字段的数据)

print(stu_obj.my_study_record)

Session.commit()#提交

思路及过程：两个表互相取数据，通过ralationship关系连接，写到内存中