Python3-sqlalchemy-orm 创建关联表带外键并查询数据

#-*-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

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 ...
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 ...
《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, ...
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 ...
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 ...
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 ...
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 ...
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 ...
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

Maven作用及应用
1.简介 Maven是一个项目管理的Java 工具,在JavaEE中,我们可以使用Maven方便地管理团队合作的项目,现在我们在学习JavaEE框架,使用Maven可以管理类库,有效方便地供团队中的其 ...
Odoo的附件大小限制
Odoo使用binary类型来保存附件数据,可以直接支持附件数据的上传.但是在实际使用中,有可能遇到附件文件大小超过限制的情况,如下图: 但是ERP定制过程中难免会遇到客户确实需要上传超大附件,那么怎 ...
pip批量安装库
将需要安装的库名和版本号都写在一个txt文档中,每个库名占一行,例如requests==2.24.0. 然后在用pip install -r命令去找到这个txt文档批量安装里面填写的库,如果嫌速度太慢 ...
MySql查询上周（周一到周日）每天的日期！土方！
首先介绍一个函数:YEARWEEK(date[,mode]) 主要说明一下后面的可选参数mode,这个参数就是指定一周里面哪一天是第一天. 默认一周是从周日开始,这显然不太符合我们的要求.要指定每周从 ...
DC-3靶机
仅供个人娱乐靶机信息下载地址:http://www.five86.com/downloads/DC-3.zip 一.主机扫描 arp-scan -l nmap -A -p 1-65535 -sV ...
user-agent浏览器标识集合
user_agent_list = [ "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; AcooBrowser; .NET ...
PXE高效装机
目录一.PXE概述二.PXE的优点三.搭建PXE的前提四.部署PXE远程安装服务 1.安装TFTP服务 2.修改TFTP服务的配置文件,并开启服务关闭防火墙 3.安装DHCP服务 4.修改D ...
对HashMap的一次记录
HashMap的具体学习,认识了解. 前言也是最近开始面试才发现,HashMap是问的真多.以前听学长或自己在网上看到过一些面试资料都在说集合.线程这块比较重要,面试的重点.自己也是有那抵触情绪,所 ...
CTF_论剑场_Web20
直接上脚本,多跑几次就能出flag import requests import re url = "http://123.206.31.85:10020/" s = reques ...
kubernetes中headless类型的service
目录初识headless类型的service 开始研究headless类型的service headless类型的service之我的理解初识headless类型的service 第一次使用ran ...

Python3-sqlalchemy-orm 创建关联表带外键并查询数据

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

随机推荐

热门专题