標籤:ddr sql mysql事務 模組 prime 通道 records col 資料庫連接
這兩個模組可以直接通過pip安裝:
開啟mysql建立幾個表:
CREATE TABLE `student_age`( `id` int not null, `age` int not null, `sex` ENUM(‘M‘, ‘F‘) not null, PRIMARY KEY(`id`));INSERT INTO student_age(id, age, sex) VALUES(1, 18, ‘M‘), (2, 26, ‘M‘), (3, 20, ‘F‘);CREATE TABLE `student_name`( `id` int not null auto_increment, `name` varchar(10) not null default ‘‘, `stu_id` int not null, PRIMARY KEY(`id`), FOREIGN KEY(`stu_id`) REFERENCES `student_age`(`id`));INSERT INTO student_name(name, stu_id) VALUES(‘Jack‘, 1), (‘Eric‘, 2), (‘Alice‘, 3);
pymysql基本串連樣本:
import pymysql#建立管道conn = pymysql.connect(host=‘127.0.0.1‘, port=3306, user=‘root‘, passwd=‘123456‘, db=‘test‘)#建立遊標cursor = conn.cursor()effect_rows = cursor.execute(‘SELECT * FROM student_name‘)print(‘rows[%d]‘ % effect_rows, cursor.fetchall())#關閉串連conn.close()
pymysql插入資料和事物的效果一樣,可以實現復原,自增id佔用,必須提交才會生效:
import pymysql, time#設定資料庫連接參數host = ‘localhost‘port = 3306user = ‘root‘passwd = ‘123456‘db = ‘test‘#建立通道conn = pymysql.connect(host=host, port=port, user=user, passwd=passwd, db=db)#建立遊標cursor = conn.cursor()#寫sql語句sql = "INSERT INTO student_age(id, age, sex) VALUES(4, 21, ‘F‘)"#執行sql語句effect_row = cursor.execute(sql)#列印影響行print(effect_row)time.sleep(30)#提交資料conn.commit()#關閉通道conn.close()
orm操作資料庫建立一張表:
‘‘‘對象關係映射(英語:(Object Relational Mapping,簡稱ORM,或O/RM,或O/R mapping),是一種程式技術,用於實現物件導向程式設計語言裡不同類型系統的資料之間的轉換 。從效果上說,它其實是建立了一個可在程式設計語言裡使用的--“虛擬對象資料庫”。‘‘‘import sqlalchemyfrom sqlalchemy import create_enginefrom sqlalchemy.ext.declarative import declarative_basefrom sqlalchemy import Column, Integer, Stringengine = create_engine("mysql+pymysql://root:[email protected]/test", encoding="utf-8", echo=True)#產生orm基類Base = declarative_base()class User(Base): #表名 __tablename__ = ‘user‘ id = Column(Integer, primary_key=True) name = Column(String(32)) password = Column(String(64))#建立表結構Base.metadata.create_all(engine)
新增資料:
import sqlalchemyfrom sqlalchemy import create_enginefrom sqlalchemy.ext.declarative import declarative_basefrom sqlalchemy import Column, Integer, Stringfrom sqlalchemy.orm import sessionmaker#建立工程engine = create_engine("mysql+pymysql://root:[email protected]/test", encoding=‘utf-8‘, echo=True)#建立基本處理類Base = declarative_base()#class User(Base): #表名 __tablename__ = ‘user‘ id = Column(Integer, primary_key=True) name = Column(String(32)) password = Column(String(64)) #綁定要操作的資料庫Session_class = sessionmaker(bind=engine)#類似於建立遊標Session = Session_class()obj1 = User(id=1, name=‘summer‘, password=‘111111‘)#加入會話工作清單session.add(obj1)#此時資料還未真正寫入print(obj1.id, obj1.name, obj1.password)#寫入資料庫session.commit()
查詢和格式化輸出:
import sqlalchemyfrom sqlalchemy import create_enginefrom sqlalchemy.ext.declarative import declarative_basefrom sqlalchemy import Column, Integer, Stringfrom sqlalchemy.orm import sessionmakerfrom sqlalchemy import func#建立工程engine = create_engine("mysql+pymysql://root:[email protected]/test", encoding=‘utf8‘)#建立基本處理類Base = declarative_base()#class User(Base): #表名 __tablename__ = ‘user‘ id = Column(Integer, primary_key=True) name = Column(String(32)) password = Column(String(64)) #格式化輸出查詢結果 def __repr__(self): return "<%s name:%s>" % (self.id, self.name) #綁定要操作的資料庫Session_class = sessionmaker(bind=engine)#類似於建立遊標Session = Session_class()#查詢# data = Session.query(User).all() #查詢全部#條件查詢data = Session.query(User).filter(User.id>1).first() #擷取第一個#修改data.name = ‘Tom‘data = Session.query(User).filter(User.id>1).first()#撤銷操作# Session.rollback()# print(‘after rollback‘)# data = Session.query(User).filter(User.id>1).first()#提交之後才會作用到資料庫,和mysql事務的的效果一樣# Session.commit()# data = Session.query(User).filter(User.id>1).filter(User.id<4).all() #擷取區間資料#統計data = Session.query(User).filter(User.name.in_([‘Eric‘, ‘Alice‘])).count()#分組查詢data = Session.query(func.count(User.name), User.name).group_by(User.name).all()print(data)#沒有重寫__repr__之前的訪問方式# print(data[0].id, data[0].name, data[0].password)
外鍵表的建立:
"""外鍵表的建立:學生表students課程表days簽到表records,關聯學生和課程表"""import sqlalchemyfrom sqlalchemy import create_enginefrom sqlalchemy.ext.declarative import declarative_basefrom sqlalchemy import Column, Integer, String, ForeignKey, Enum#建立工程engine = create_engine("mysql+pymysql://root:[email protected]/test", encoding=‘utf-8‘)#建立基類Base = declarative_base()#建立表結構class Student(Base): __tablename__ = ‘students‘ id = Column(Integer, nullable=False, primary_key=True) name = Column(String(10), nullable=False) sex = Column(Enum(‘F‘, ‘M‘)) def __repr__(self): return "<id:%s name:%s>" % (self.id, self.name)class Days(Base): __tablename__ = ‘days‘ id = Column(Integer, nullable=False, primary_key=True) content = Column(String(32), nullable=False) def __repr__(self): return "<day_id:%s content:%s>" % (self.id, self.content) class Record(Base): __tablename__ = ‘records‘ id = Column(Integer, nullable=False, primary_key=True) stu_id = Column(Integer, ForeignKey("students.id"), nullable=False) day_id = Column(Integer, ForeignKey("days.id"), nullable=False) status = Column(Enum("Yes", "No")) def __repr__(self): return "<id:%s status:%s>" % (self.id, self.status)#產生表Base.metadata.create_all(engine)
外鍵表的資料插入:
"""外鍵表的建立:學生表students課程表days簽到表records,關聯學生和課程表"""import sqlalchemyfrom sqlalchemy import create_enginefrom sqlalchemy.ext.declarative import declarative_basefrom sqlalchemy import Column, Integer, String, ForeignKey, Enum#建立工程engine = create_engine("mysql+pymysql://root:[email protected]/test", encoding=‘utf-8‘)#建立基類Base = declarative_base()#建立表結構class Student(Base): __tablename__ = ‘students‘ id = Column(Integer, nullable=False, primary_key=True) name = Column(String(10), nullable=False) sex = Column(Enum(‘F‘, ‘M‘)) def __repr__(self): return "<id:%s name:%s>" % (self.id, self.name)class Days(Base): __tablename__ = ‘days‘ id = Column(Integer, nullable=False, primary_key=True) content = Column(String(32), nullable=False) def __repr__(self): return "<day_id:%s content:%s>" % (self.id, self.content) class Record(Base): __tablename__ = ‘records‘ id = Column(Integer, nullable=False, primary_key=True) stu_id = Column(Integer, ForeignKey("students.id"), nullable=False) day_id = Column(Integer, ForeignKey("days.id"), nullable=False) status = Column(Enum("Yes", "No")) def __repr__(self): return "<id:%s status:%s>" % (self.id, self.status)#產生表Base.metadata.create_all(engine)
外鍵表的關聯查詢:
"""外部索引鍵關聯查詢"""import sqlalchemyfrom sqlalchemy import create_enginefrom sqlalchemy.ext.declarative import declarative_basefrom sqlalchemy.orm import sessionmaker, relationshipfrom sqlalchemy import Column, Integer, String, Enum, ForeignKey#建立工程engine = create_engine("mysql+pymysql://root:[email protected]/test", encoding=‘utf-8‘)#建立基類Base = declarative_base()#建立表結構class Students(Base): __tablename__ = ‘students‘ id = Column(Integer, nullable=False, primary_key=True) name = Column(String(10), nullable=False) sex = Column(Enum(‘F‘, ‘M‘)) def __repr__(self): return "<id:%s name:%s>" % (self.id, self.name) class Days(Base): __tablename__ = ‘days‘ id = Column(Integer, nullable=False, primary_key=True) content = Column(String(32), nullable=False) def __repr__(self): return "<id:%s content:%s>" % (self.id, self.content)class Records(Base): __tablename__ = ‘records‘ id = Column(Integer, nullable=False, primary_key=True) stu_id = Column(Integer, ForeignKey("students.id"), nullable=False) day_id = Column(Integer, ForeignKey("days.id"), nullable=False) status = Column(Enum("Yes", "No")) students = relationship("Students", backref="students_records") days = relationship("Days", backref="days_records") def __repr__(self): return "<name:%s content:%s status:%s>" % (self.students.name, self.days.content, self.status)#產生表Base.metadata.create_all(engine)#建立會話Session_class = sessionmaker(bind=engine)#建立遊標session = Session_class()data = session.query(Students).filter(Students.name==‘Eric‘).first()print(data.students_records)
兩個外部索引鍵關聯到同一張表:
"""兩個外部索引鍵關聯到同一張表"""import sqlalchemyfrom sqlalchemy import create_enginefrom sqlalchemy.ext.declarative import declarative_basefrom sqlalchemy import Column, String, Integer, ForeignKeyfrom sqlalchemy.orm import relationshipengine = create_engine("mysql+pymysql://root:[email protected]/test", encoding=‘utf-8‘)Base = declarative_base()class Address(Base): __tablename__ = ‘address‘ id = Column(Integer, primary_key=True, nullable=False) province = Column(String(10), nullable=True) city = Column(String(10), nullable=True) class Users(Base): __tablename__ = ‘users‘ id = Column(Integer, primary_key=True, nullable=False) name = Column(String(10), nullable=True) first_addr_id = Column(Integer, ForeignKey(‘address.id‘)) second_addr_id = Column(Integer, ForeignKey(‘address.id‘)) first_addr = relationship("Address", foreign_keys=[first_addr_id]) second_addr = relationship("Address", foreign_keys=[second_addr_id]) def __repr__(self): return "<name %s address %s %s>" % (self.name, self.first_addr.province, self.second_addr.province) Base.metadata.create_all(engine)
寫入資料:
"""往表中寫入資料"""import ex5_1from sqlalchemy.orm import sessionmakerSession_class = sessionmaker(bind=ex5_1.engine)session = Session_class()add1 = ex5_1.Address(province=‘HeNan‘, city=‘NanYang‘)add2 = ex5_1.Address(province=‘HeBei‘, city=‘HanDan‘)add3 = ex5_1.Address(province=‘HuNan‘, city=‘YueYang‘)session.add_all([add1, add2, add3])user1 = ex5_1.Users(name=‘Eric‘, first_addr=add1, second_addr=add2)user2 = ex5_1.Users(name=‘Alice‘, first_addr=add2, second_addr=add3)user3 = ex5_1.Users(name=‘Peter‘, first_addr=add3, second_addr=add1)session.add_all([user1, user2, user3])session.commit()
查詢:
import ex5_1data = ex5_1.session.query(ex5_1.Users).filter(ex5_1.Users.name==‘Eric‘).first()print(data)
多對多外鍵:
#建立表import sqlalchemyfrom sqlalchemy import create_enginefrom sqlalchemy.ext.declarative import declarative_basefrom sqlalchemy import Column, String, Integer, DATE, Table, ForeignKeyfrom sqlalchemy.orm import relationshipengine = create_engine("mysql+pymysql://root:[email protected]/test", encoding=‘utf-8‘)Base = declarative_base()book_m2m_author = Table( ‘book_m2m_author‘, Base.metadata, Column(‘book_id‘, Integer, ForeignKey(‘books.id‘)), Column(‘author_id‘, Integer, ForeignKey(‘authors.id‘)))class Books(Base): __tablename__ = ‘books‘ id = Column(Integer, primary_key=True, nullable=True) book_name = Column(String(20), nullable=False) publish_time = Column(DATE) #建立到authors表的映射,關聯關係表book_m2m_author,回查欄位books authors = relationship("Authors", secondary=book_m2m_author, backref="books") def __repr__(self): return "<book_name:%s>" % self.book_name class Authors(Base): __tablename__ = ‘authors‘ id = Column(Integer, primary_key=True, nullable=True) author_name = Column(String(20), nullable=False) def __repr__(self): return "<author_name:%s>" % self.author_nameBase.metadata.create_all(engine)
建立資料:
#插入資料import ex6_1from sqlalchemy.orm import sessionmaker#建立會話Session_class = sessionmaker(bind=ex6_1.engine)Session = Session_class()b1 = ex6_1.Books(book_name=‘C++ primer plus‘)b2 = ex6_1.Books(book_name=‘Python‘)b3 = ex6_1.Books(book_name=‘Java‘)a1 = ex6_1.Authors(author_name=‘Eric‘)a2 = ex6_1.Authors(author_name=‘Alice‘)a3 = ex6_1.Authors(author_name=‘James‘)b1.authors = [a1, a2]b2.authors = [a2, a3]b3.authors = [a3, a1]Session.add_all([b1, b2, b3, a1, a2, a3])Session.commit()
關聯查詢和刪除操作:
#查詢資料import ex6_1from sqlalchemy.orm import sessionmakerSession_class = sessionmaker(bind=ex6_1.engine)Session = Session_class()data = Session.query(ex6_1.Books).filter(ex6_1.Books.book_name==‘Python‘).first()print("book_name:%s author:%s" % (data, data.authors))#刪除資料時不用管book_m2m_author,sqlalchemy會自動刪除#通過書刪除作者# book_obj = Session.query(ex6_1.Books).filter(ex6_1.Books.book_name==‘Python‘).first()# author_obj = Session.query(ex6_1.Authors).filter(ex6_1.Authors.author_name==‘James‘).first()# book_obj.authors.remove(author_obj)#刪除作者時,會把這個作者跟所有書的關聯關係資料也自動刪除data = Session.query(ex6_1.Authors).filter(ex6_1.Authors.author_name==‘Eric‘).first()#從authors裡面刪除這個作者,並從book_m2m_author裡面所有書中刪除這個作者Session.delete(data)#提交修改到資料庫Session.commit()
pymysql和sqlalchemy模組操作mysql資料庫