column1 = Column(String) column2 = Column(String)# 创建数据库连接引擎engine = create_engine('mysql+pymysql://your_username:your_password@your_mysql_host:3306/your_database')# 创建数据表Base.metadata.create_all(engine)# 创建会话Session = sessionmaker(bind=engine) session = Session()# 查询数...
#创建一张表#连接数据库的模块fromsqlalchemyimportcreate_enginefromsqlalchemy.ext.declarativeimportdeclarative_basefromsqlalchemyimportColumn, Integer, String engine= create_engine("mysql+pymysql://root:123456@localhost/db4", encoding="utf8") Base= declarative_base()#orm基类classUser(Base):#继承Base基...
engine= create_engine("mysql+pymysql://root:xiaoming.note5@115.159.193.77:3306/school?charset=utf8", max_overflow=5)#执行SQLcur =engine.execute("insert into user (name, password) values('lihy', 'lihy')")#新插入行自增IDcur.lastrowid#执行SQLcur =engine.execute("insert into user(name, ...
from pymysql.constants.CLIENT import MULTI_STATEMENTS engine = create_engine('mysql+pymysql://%s:%s@%s:%s/%s' % (DB_CFG['user'], quote_plus(DB_CFG['password']), DB_CFG['host'], DB_CFG['port'], DB_CFG['database']), connect_args={"client_flag": MULTI_STATEMENTS}) ...
from sqlalchemy import create_engine # 创建连接 engine = create_engine("mysql+pymysql://root:123456@127.0.0.1:3306/test", max_overflow=5) # 创建基类。这个是固定写法,创建表必须这么写 Base = declarative_base() # 创建单表 class Users(Base): ...
engine = create_engine('mysql+pymysql://root:1234@127.0.0.1:3306/test?charset=utf8', max_overflow=0, # 超过连接池大小外最多创建的连接,为0表示超过5个连接后,其他连接请求会阻塞 (默认为10) encoding='utf-8', # 编码格式 echo=True, # 是否开启sql执行语句的日志输出 ...
fromsqlalchemyimport create_engine, Column, Integer, String, MetaData, Table from sqlalchemy.orm import sessionmaker # 假设你已经有了数据库连接 engine = create_engine('mysql+pymysql://yourusername:yourpassword@localhost/yourdbname') Session = sessionmaker(bind=engine) ...
sqlalchemy.create_engine('数据库连接字符串') 在我的代码里面,数据库连接字符串是'mysql+pymysql://scott:tiger@localhost/foo'。这个连接字符串包含以下信息: mysql+pymysql://:指定使用pymysql模块来连接MySQL数据库。这个是问题的关键了,pymysql是一个驱动程序,一开始没有加上它,SQLAlchemy会根据需要选择默认...
当然,如果数据源本身就是 mysql,当然不用大费周章来创建数据表的结构,直接使用 create table like xxx 就行。以下代码展示了这种用法: 代码语言:javascript 复制 import pandas as pd from sqlalchemy import create_engine engine = create_engine('mysql+pymysql://user:password@localhost/stonetest?charset=utf8...
metadata.create_all()# Base.metadata.create_all(engine) AI代码助手复制代码 方法二:使用Table 1.导入模块from sqlalchemy.ext.declarative import declarative_base 2.根据需要的元素来导入模块from sqlalchemy import Column 3.创建连接, 3.使用declarative_base来获得一个类对象,此处我定义该对象为Base ...