#-*-coding:utf-8-*-
#__author__ = "logan.xu" import sqlalchemy
from sqlalchemy import create_engine,func
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column,Integer,String,ForeignKey,DATE
from sqlalchemy.orm import sessionmaker,relationship engine=create_engine("mysql+pymysql://root:12345678@localhost/news",encoding='utf-8',echo=True)
Base=declarative_base() 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")) student=relationship("Student",backref="my_study_record")
#
#def __repr__(self):
#return "<%s name:%s>" % (self.id,self.day)
   def __repr__(self):
   return "<%s day:%s status:%s>" % (self.id,self.day,self.status)
#---------------1.创建表-----------------# 

Base.metadata.create_all(engine)
#---------------------------------------#
Session_class = sessionmaker(bind=engine) Session = Session_class()

#---------------2.写入数据-----------------#

s1=Student(name='Alex',register_date="2019-01-09")
s2=Student(name='Jack',register_date="2019-01-09")
s3=Student(name='Rain',register_date="2019-01-10")
s4=Student(name='Eric',register_date="2019-01-11")
s5=Student(name='John',register_date="2019-01-12")

#

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="NO",stu_id=2)
study_obj5=StudyRecord(day=1,status="NO",stu_id=2)

# ## 写入数据 并调用 study_record字段插入数据 为 Student数据

Session.add_all([s1,s2,s3,s4,s5,study_obj1,study_obj2,study_obj3,study_obj4,study_obj5])

#---------------------------------------#

#---------------3.查询数据-----------------#

# 取出student内的 内存对象
stu_obj = Session.query(Student).filter(Student.name=="Alex").first()

print(stu_obj.my_study_record)

#---------------------------------------#

# 执行事务 Session.commit()
/Users/drizzle/PycharmProjects/2018-12-03/venv/bin/python /Users/drizzle/PycharmProjects/2018-12-03/orm_fk.py
2019-01-08 18:30:00,061 INFO sqlalchemy.engine.base.Engine SHOW VARIABLES LIKE 'sql_mode'
2019-01-08 18:30:00,061 INFO sqlalchemy.engine.base.Engine {}
2019-01-08 18:30:00,063 INFO sqlalchemy.engine.base.Engine SHOW VARIABLES LIKE 'lower_case_table_names'
2019-01-08 18:30:00,063 INFO sqlalchemy.engine.base.Engine {}
2019-01-08 18:30:00,065 INFO sqlalchemy.engine.base.Engine SELECT DATABASE()
2019-01-08 18:30:00,065 INFO sqlalchemy.engine.base.Engine {}
2019-01-08 18:30:00,066 INFO sqlalchemy.engine.base.Engine show collation where `Charset` = 'utf8mb4' and `Collation` = 'utf8mb4_bin'
2019-01-08 18:30:00,066 INFO sqlalchemy.engine.base.Engine {}
2019-01-08 18:30:00,069 INFO sqlalchemy.engine.base.Engine SELECT CAST('test plain returns' AS CHAR(60)) AS anon_1
2019-01-08 18:30:00,069 INFO sqlalchemy.engine.base.Engine {}
2019-01-08 18:30:00,069 INFO sqlalchemy.engine.base.Engine SELECT CAST('test unicode returns' AS CHAR(60)) AS anon_1
2019-01-08 18:30:00,069 INFO sqlalchemy.engine.base.Engine {}
2019-01-08 18:30:00,070 INFO sqlalchemy.engine.base.Engine SELECT CAST('test collated returns' AS CHAR CHARACTER SET utf8mb4)
COLLATE utf8mb4_bin AS anon_1
2019-01-08 18:30:00,070 INFO sqlalchemy.engine.base.Engine {}
2019-01-08 18:30:00,071 INFO sqlalchemy.engine.base.Engine DESCRIBE `student`
2019-01-08 18:30:00,071 INFO sqlalchemy.engine.base.Engine {}
2019-01-08 18:30:00,073 INFO sqlalchemy.engine.base.Engine DESCRIBE `study_record`
2019-01-08 18:30:00,073 INFO sqlalchemy.engine.base.Engine {}
2019-01-08 18:30:00,080 INFO sqlalchemy.engine.base.Engine BEGIN (implicit)
2019-01-08 18:30:00,081 INFO sqlalchemy.engine.base.Engine INSERT INTO student (name, register_date) VALUES (%(name)s, %(register_date)s)
2019-01-08 18:30:00,081 INFO sqlalchemy.engine.base.Engine {'name': 'Alex', 'register_date': '2019-01-09'}
2019-01-08 18:30:00,082 INFO sqlalchemy.engine.base.Engine INSERT INTO student (name, register_date) VALUES (%(name)s, %(register_date)s)
2019-01-08 18:30:00,082 INFO sqlalchemy.engine.base.Engine {'name': 'Jack', 'register_date': '2019-01-09'}
2019-01-08 18:30:00,082 INFO sqlalchemy.engine.base.Engine INSERT INTO student (name, register_date) VALUES (%(name)s, %(register_date)s)
2019-01-08 18:30:00,082 INFO sqlalchemy.engine.base.Engine {'name': 'Rain', 'register_date': '2019-01-10'}
2019-01-08 18:30:00,083 INFO sqlalchemy.engine.base.Engine INSERT INTO student (name, register_date) VALUES (%(name)s, %(register_date)s)
2019-01-08 18:30:00,083 INFO sqlalchemy.engine.base.Engine {'name': 'Eric', 'register_date': '2019-01-11'}
2019-01-08 18:30:00,083 INFO sqlalchemy.engine.base.Engine INSERT INTO student (name, register_date) VALUES (%(name)s, %(register_date)s)
2019-01-08 18:30:00,083 INFO sqlalchemy.engine.base.Engine {'name': 'John', 'register_date': '2019-01-12'}
2019-01-08 18:30:00,084 INFO sqlalchemy.engine.base.Engine INSERT INTO study_record (day, status, stu_id) VALUES (%(day)s, %(status)s, %(stu_id)s)
2019-01-08 18:30:00,084 INFO sqlalchemy.engine.base.Engine {'day': 1, 'status': 'Yes', 'stu_id': 1}
2019-01-08 18:30:00,085 INFO sqlalchemy.engine.base.Engine INSERT INTO study_record (day, status, stu_id) VALUES (%(day)s, %(status)s, %(stu_id)s)
2019-01-08 18:30:00,085 INFO sqlalchemy.engine.base.Engine {'day': 2, 'status': 'NO', 'stu_id': 1}
2019-01-08 18:30:00,085 INFO sqlalchemy.engine.base.Engine INSERT INTO study_record (day, status, stu_id) VALUES (%(day)s, %(status)s, %(stu_id)s)
2019-01-08 18:30:00,085 INFO sqlalchemy.engine.base.Engine {'day': 3, 'status': 'Yes', 'stu_id': 1}
2019-01-08 18:30:00,086 INFO sqlalchemy.engine.base.Engine INSERT INTO study_record (day, status, stu_id) VALUES (%(day)s, %(status)s, %(stu_id)s)
2019-01-08 18:30:00,086 INFO sqlalchemy.engine.base.Engine {'day': 1, 'status': 'NO', 'stu_id': 2}
2019-01-08 18:30:00,086 INFO sqlalchemy.engine.base.Engine INSERT INTO study_record (day, status, stu_id) VALUES (%(day)s, %(status)s, %(stu_id)s)
2019-01-08 18:30:00,086 INFO sqlalchemy.engine.base.Engine {'day': 1, 'status': 'NO', 'stu_id': 2}
2019-01-08 18:30:00,088 INFO sqlalchemy.engine.base.Engine SELECT student.id AS student_id, student.name AS student_name, student.register_date
AS student_register_date
FROM student
WHERE student.name = %(name_1)s
LIMIT %(param_1)s
2019-01-08 18:30:00,088 INFO sqlalchemy.engine.base.Engine {'name_1': 'Alex', 'param_1': 1}
2019-01-08 18:30:00,090 INFO sqlalchemy.engine.base.Engine SELECT study_record.id AS study_record_id, study_record.day AS study_record_day,
study_record.status AS study_record_status, study_record.stu_id AS study_record_stu_id
FROM study_record
WHERE %(param_1)s = study_record.stu_id
2019-01-08 18:30:00,090 INFO sqlalchemy.engine.base.Engine {'param_1': 1}
[<2 day:1 status:Yes>, <3 day:2 status:NO>, <4 day:3 status:Yes>, <7 day:1 status:Yes>, <8 day:2 status:NO>, <9 day:3 status:Yes>,
<12 day:1 status:Yes>, <13 day:2 status:NO>, <14 day:3 status:Yes>]
2019-01-08 18:30:00,091 INFO sqlalchemy.engine.base.Engine COMMIT Process finished with exit code 0
可以在study_record 反查student表信息

#-*-coding:utf-8-*-
#__author__ = "logan.xu" import sqlalchemy
from sqlalchemy import create_engine,func
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column,Integer,String,ForeignKey,DATE
from sqlalchemy.orm import sessionmaker,relationship engine=create_engine("mysql+pymysql://root:12345678@localhost/news",encoding='utf-8',echo=True)
Base=declarative_base() 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")) student=relationship("Student",backref="my_study_record")
#
def __repr__(self):
return "<%s day:%s status:%s>" % (self.student.name,self.day,self.status) #---------------1.创建表-----------------# Base.metadata.create_all(engine)
#---------------------------------------# Session_class = sessionmaker(bind=engine)
Session = Session_class() #---------------2.写入数据-----------------# s1=Student(name='Alex',register_date="2019-01-09")
s2=Student(name='Jack',register_date="2019-01-09")
s3=Student(name='Rain',register_date="2019-01-10")
s4=Student(name='Eric',register_date="2019-01-11")
s5=Student(name='John',register_date="2019-01-12")
#
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="NO",stu_id=2)
study_obj5=StudyRecord(day=1,status="NO",stu_id=2)
# ## 写入数据 并调用 study_record字段插入数据 为 Student数据
Session.add_all([s1,s2,s3,s4,s5,study_obj1,study_obj2,study_obj3,study_obj4,study_obj5]) #---------------------------------------# #---------------3.查询数据-----------------# # 取出student内的 内存对象
stu_obj = Session.query(Student).filter(Student.name=="Alex").first()
print(stu_obj.my_study_record) #---------------------------------------# # 执行事务
Session.commit()
/Users/drizzle/PycharmProjects/2018-12-03/venv/bin/python /Users/drizzle/PycharmProjects/2018-12-03/orm_fk.py
2019-01-08 18:35:46,521 INFO sqlalchemy.engine.base.Engine SHOW VARIABLES LIKE 'sql_mode'
2019-01-08 18:35:46,522 INFO sqlalchemy.engine.base.Engine {}
2019-01-08 18:35:46,523 INFO sqlalchemy.engine.base.Engine SHOW VARIABLES LIKE 'lower_case_table_names'
2019-01-08 18:35:46,523 INFO sqlalchemy.engine.base.Engine {}
2019-01-08 18:35:46,525 INFO sqlalchemy.engine.base.Engine SELECT DATABASE()
2019-01-08 18:35:46,525 INFO sqlalchemy.engine.base.Engine {}
2019-01-08 18:35:46,526 INFO sqlalchemy.engine.base.Engine show collation where `Charset` = 'utf8mb4' and `Collation` = 'utf8mb4_bin'
2019-01-08 18:35:46,526 INFO sqlalchemy.engine.base.Engine {}
2019-01-08 18:35:46,529 INFO sqlalchemy.engine.base.Engine SELECT CAST('test plain returns' AS CHAR(60)) AS anon_1
2019-01-08 18:35:46,529 INFO sqlalchemy.engine.base.Engine {}
2019-01-08 18:35:46,529 INFO sqlalchemy.engine.base.Engine SELECT CAST('test unicode returns' AS CHAR(60)) AS anon_1
2019-01-08 18:35:46,530 INFO sqlalchemy.engine.base.Engine {}
2019-01-08 18:35:46,530 INFO sqlalchemy.engine.base.Engine SELECT CAST('test collated returns' AS CHAR CHARACTER SET utf8mb4)
COLLATE utf8mb4_bin AS anon_1
2019-01-08 18:35:46,530 INFO sqlalchemy.engine.base.Engine {}
2019-01-08 18:35:46,531 INFO sqlalchemy.engine.base.Engine DESCRIBE `student`
2019-01-08 18:35:46,531 INFO sqlalchemy.engine.base.Engine {}
2019-01-08 18:35:46,533 INFO sqlalchemy.engine.base.Engine DESCRIBE `study_record`
2019-01-08 18:35:46,533 INFO sqlalchemy.engine.base.Engine {}
2019-01-08 18:35:46,541 INFO sqlalchemy.engine.base.Engine BEGIN (implicit)
2019-01-08 18:35:46,542 INFO sqlalchemy.engine.base.Engine INSERT INTO student (name, register_date) VALUES (%(name)s, %(register_date)s)
2019-01-08 18:35:46,542 INFO sqlalchemy.engine.base.Engine {'name': 'Alex', 'register_date': '2019-01-09'}
2019-01-08 18:35:46,543 INFO sqlalchemy.engine.base.Engine INSERT INTO student (name, register_date) VALUES (%(name)s, %(register_date)s)
2019-01-08 18:35:46,543 INFO sqlalchemy.engine.base.Engine {'name': 'Jack', 'register_date': '2019-01-09'}
2019-01-08 18:35:46,544 INFO sqlalchemy.engine.base.Engine INSERT INTO student (name, register_date) VALUES (%(name)s, %(register_date)s)
2019-01-08 18:35:46,544 INFO sqlalchemy.engine.base.Engine {'name': 'Rain', 'register_date': '2019-01-10'}
2019-01-08 18:35:46,544 INFO sqlalchemy.engine.base.Engine INSERT INTO student (name, register_date) VALUES (%(name)s, %(register_date)s)
2019-01-08 18:35:46,544 INFO sqlalchemy.engine.base.Engine {'name': 'Eric', 'register_date': '2019-01-11'}
2019-01-08 18:35:46,545 INFO sqlalchemy.engine.base.Engine INSERT INTO student (name, register_date) VALUES (%(name)s, %(register_date)s)
2019-01-08 18:35:46,545 INFO sqlalchemy.engine.base.Engine {'name': 'John', 'register_date': '2019-01-12'}
2019-01-08 18:35:46,546 INFO sqlalchemy.engine.base.Engine INSERT INTO study_record (day, status, stu_id) VALUES (%(day)s, %(status)s, %(stu_id)s)
2019-01-08 18:35:46,546 INFO sqlalchemy.engine.base.Engine {'day': 1, 'status': 'Yes', 'stu_id': 1}
2019-01-08 18:35:46,547 INFO sqlalchemy.engine.base.Engine INSERT INTO study_record (day, status, stu_id) VALUES (%(day)s, %(status)s, %(stu_id)s)
2019-01-08 18:35:46,547 INFO sqlalchemy.engine.base.Engine {'day': 2, 'status': 'NO', 'stu_id': 1}
2019-01-08 18:35:46,547 INFO sqlalchemy.engine.base.Engine INSERT INTO study_record (day, status, stu_id) VALUES (%(day)s, %(status)s, %(stu_id)s)
2019-01-08 18:35:46,547 INFO sqlalchemy.engine.base.Engine {'day': 3, 'status': 'Yes', 'stu_id': 1}
2019-01-08 18:35:46,548 INFO sqlalchemy.engine.base.Engine INSERT INTO study_record (day, status, stu_id) VALUES (%(day)s, %(status)s, %(stu_id)s)
2019-01-08 18:35:46,548 INFO sqlalchemy.engine.base.Engine {'day': 1, 'status': 'NO', 'stu_id': 2}
2019-01-08 18:35:46,548 INFO sqlalchemy.engine.base.Engine INSERT INTO study_record (day, status, stu_id) VALUES (%(day)s, %(status)s, %(stu_id)s)
2019-01-08 18:35:46,548 INFO sqlalchemy.engine.base.Engine {'day': 1, 'status': 'NO', 'stu_id': 2}
2019-01-08 18:35:46,550 INFO sqlalchemy.engine.base.Engine SELECT student.id AS student_id, student.name AS student_name, student.register_date AS student_register_date
FROM student
WHERE student.name = %(name_1)s
LIMIT %(param_1)s
2019-01-08 18:35:46,550 INFO sqlalchemy.engine.base.Engine {'name_1': 'Alex', 'param_1': 1}
2019-01-08 18:35:46,552 INFO sqlalchemy.engine.base.Engine SELECT study_record.id AS study_record_id, study_record.day AS study_record_day,
study_record.status AS study_record_status, study_record.stu_id AS study_record_stu_id
FROM study_record
WHERE %(param_1)s = study_record.stu_id
2019-01-08 18:35:46,552 INFO sqlalchemy.engine.base.Engine {'param_1': 1}
[<Alex day:1 status:Yes>, <Alex day:2 status:NO>, <Alex day:3 status:Yes>, <Alex day:1 status:Yes>, <Alex day:2 status:NO>,
<Alex day:3 status:Yes>, <Alex day:1 status:Yes>, <Alex day:2 status:NO>, <Alex day:3 status:Yes>, <Alex day:1 status:Yes>,
<Alex day:2 status:NO>, <Alex day:3 status:Yes>]
2019-01-08 18:35:46,553 INFO sqlalchemy.engine.base.Engine COMMIT Process finished with exit code 0

Python3-sqlalchemy-orm 创建关联表带外键并查询数据的更多相关文章

  1. Python3-sqlalchemy-orm 创建关联表带外键并插入数据

    #-*-coding:utf-8-*- #__author__ = "logan.xu" import sqlalchemy from sqlalchemy import crea ...

  2. Python3-sqlalchemy-orm 创建多表关联表带外键

    #-*-coding:utf-8-*- #__author__ = "logan.xu" import sqlalchemy from sqlalchemy import crea ...

  3. 《Entity Framework 6 Recipes》中文翻译系列 (37) ------ 第六章 继承与建模高级应用之独立关联与外键关联

    翻译的初衷以及为什么选择<Entity Framework 6 Recipes>来学习,请看本系列开篇 6-13  在基类中应用条件 问题 你想从一个已存在的模型中的实体派生一个新的实体, ...

  4. 数据库的SQL语句创建和主外键删除操作

    create table UserType ( Id ,), Name nvarchar() not null ) go create table UserInfo ( Id ,), LoginPwd ...

  5. mysql数据库:分表、多表关联、外键约束、级联操作

    一.分表.外键.级联.多对一 二.多对多 三.一对一 一.分表.外键.级联.多对一 将部门数据与员工数据放到同一张表中会造成 数据重复 结构混乱 扩展维护性差 需要分表 create table de ...

  6. 003--PowerDesigner创建索引与外键

    PowerDesigner创建索引与外键 一.创建索引 双击Table->Columns->创建索引 Step1:双击Table Step2:选择Columns->创建索引 弹出如下 ...

  7. SQLSERVER清空(Truncate)被外键引用的数据表

    前言:我们知道SQLSERVER清空数据表有两种方式Delete和Truncate,当然两者的不同大家也都知道(不清楚的可以MSDN).不过这个错误“Cannot truncate table  be ...

  8. Django ORM - 001 - 外键表查询主表信息

    开始用Django做web开发,我想大家都会遇到同样的问题,那就是如何高效快速的查询需要的数据,MVC都很简单,但是ORM折腾起来就有些费时间,我准备好好研究下Django ORM,所以会有一个系列的 ...

  9. 使用Navicat V8.0创建数据库,外键出现错误ERROR 1005: Can’t create table (errno: 121)

    ERROR 1005: Can't create table (errno: 121) errno 121 means a duplicate key error. Probably the tabl ...

随机推荐

  1. (Opencv4)二值化图像

    (Opencv4)二值化图像  ret, dst = cv2.threshold(src, thresh, maxval, type) threshold : 极限,临界值,阈值 ret: 一个数 s ...

  2. APICloud的真机wifi连接问题

    APICloud的真机wifi连接问题 在APICloud的真机wifi连接时需要注意事项与解决问题. 1.首先将项目拉取到本地,用APICloud Studio 2打开(也可以用webStorm配置 ...

  3. mongodb使用场景及与mysql区别

    MySQL是关系型数据库. 优势: 在不同的引擎上有不同 的存储方式. 查询语句是使用传统的sql语句,拥有较为成熟的体系,成熟度很高. 开源数据库的份额在不断增加,mysql的份额页在持续增长. 缺 ...

  4. vulnhub-Lampiao脏牛提权

    准备工作 在vulnhub官网下载lampiao靶机Lampião: 1 ~ VulnHub 导入到vmware,设置成NAT模式 打开kali准备进行渗透(ip:192.168.200.6) 信息收 ...

  5. web知识架构思维导图

    图片双击放大还是很清晰的.原图大小5.1M

  6. Spring WebFlux 基础教程:参数校验

    请求参数校验,在实际的应用中很常见,网上的文章大部分提供的使用注解的方式做参数校验.本文主要介绍 Spring Webflux Function Endpoint 使用 Spring Validati ...

  7. charles抓取https设置

    第一步:打开charles,查看电脑ip,手机设置代理(需要手机和电脑在同一网络) 手机下载证书不要用自带的下,会失败 1.查看电脑ip 2.手机设置代理,修改网络,保存 3.手机访问"看图 ...

  8. SpringCloud升级之路2020.0.x版-9.如何理解并定制一个Spring Cloud组件

    本系列为之前系列的整理重启版,随着项目的发展以及项目中的使用,之前系列里面很多东西发生了变化,并且还有一些东西之前系列并没有提到,所以重启这个系列重新整理下,欢迎各位留言交流,谢谢!~ 我们实现的 S ...

  9. RabbitMQ的生产者消息确认(Publisher Confirms and Returns)和消费者ACK

    https://www.cnblogs.com/wangzhongqiu/p/7815529.html https://blog.csdn.net/u012129558/article/details ...

  10. Android 9.0 BufferSlot注解

    源码位置 /frameworks/native/libs/gui/include/gui/BufferSlot.h 源码 struct BufferSlot { BufferSlot() : mGra ...