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

Docker run 命令参数及使用
Docker run 命令参数及使用 Docker run :创建一个新的容器并运行一个命令语法 docker run [OPTIONS] IMAGE [COMMAND] [ARG...] OPTI ...
8.7考试总结(NOIP模拟)[Smooth·Six·Walker]
前言踩了挺多以前没踩过的坑... T1 一开始是打了一个 60pts 的 DFS ,在与暴力拍了几组数据保证正确性之后, 突然想到 BFS 可能会更快一些,然后就又码了一个 BFS,又和 DFS 拍 ...
ECDSA高性能硬件实现——算法详解与模块划分
ECDSA全称椭圆曲线数字签名算法,它是基于素数域的椭圆曲线对信息进行加签与验签.其核心在于对信息的加签,及对加签的信息进行验签,那么下面介绍该算法流程. 假设Alice希望对消息m进行签名,并将消息 ...
Git 使用revert回滚已提交的commit
在git使用中如果提交错误的代码至远程服务器,可以使用git revert 命令回滚单次commit并且不影响其他commit. 回滚最新一次的提交记录: git revert HEAD 回滚前一次的 ...
【笔记】scikit-learn中的PCA（真实数据集）
sklearn中的PCA(真实的数据集) (在notebook中) 加载好需要的内容,手写数字数据集 import numpy as np import matplotlib.pyplot as pl ...
shell 获取当前路径和 2>&1 &的作用
#!/bin/bash current_path=$(cd $(dirname "${BASH_SOURCE[0]}") && pwd) nohup $curren ...
内网隧道与SOCKS代理思路总结
早就想总结一下这部分内容了,总是有其他事情卡住,一直拖到现在内网中有很多边界设备,比如防火墙.这种边界设备会控制内部主机的对外连接,一般会仅允许某些种类的端口开放或某种数据流量出入这就意味着我们只 ...
DVWA-sql注入（盲注）
DVWA简介 DVWA(Damn Vulnerable Web Application)是一个用来进行安全脆弱性鉴定的PHP/MySQL Web应用,旨在为安全专业人员测试自己的专业技能和工具提供合法 ...
006 媒体独立接口（MII，Meida Independent Interface）
一.MII接口 MII接口Medium Independent Interface MII(Media Independent Interface)即媒体独立接口,MII接口是MAC与PHY连接的标准 ...
捉虫日记 | MySQL 5.7.20 try_acquire_lock_impl 异常导致mysql crash
背景近期线上MySQL 5.7.20集群不定期(多则三周,短则一两天)出现主库mysql crash.触发主从切换问题,堆栈信息如下: 从堆栈信息可以明显看出,在调用 try_acquire_loc ...

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