为了解决这个问题,你可以安装并使用 PyMySQL 库作为替代驱动,并在连接字符串中指定它。例如: python from sqlalchemy import create_engine # 使用PyMySQL作为MySQL的数据库驱动 engine = create_engine('mysql+pymysql://root:123456@localhost:3306/yourdatabase') 在安装 PyMySQL 库之前,请确保你已经安装了SQL...
importpymysqlimporttime # 配置数据库连接信息DB_CONFIG={'host':'127.0.0.1','port':3306,'user':'your_username','password':'your_password','db':'your_database','charset':'utf8mb4','cursorclass':pymysql.cursors.DictCursor}defcreate_connection():"""创建数据库连接"""try:connection=pymysql...
from sqlalchemy import create_engine from sqlalchemy.pool import QueuePool engine = create_engine( 'mysql+mysqlconnector://your_user:your_password@your_host/your_database', poolclass=QueuePool, pool_size=10, max_overflow=20, pool_recycle=3600 # 连接池中连接的最大存活时间 ) with engine.connect...
from sqlalchemy import create_engine from sqlalchemy.pool import QueuePool engine = create_engine( 'mysql+mysqlconnector://your_user:your_password@your_host/your_database', poolclass=QueuePool, pool_size=10, max_overflow=20, pool_recycle=3600 # 连接池中连接的最大存活时间 ...
$ pip install Flask-SQLAlchemy 1. 连接MySQL数据库 Flask-SQLAlchemy提供了一种简单的方式来连接MySQL数据库。首先需要在Flask应用中引入Flask-SQLAlchemy: AI检测代码解析 fromflaskimportFlaskfromflask_sqlalchemyimportSQLAlchemy app=Flask(__name__)app.config['SQLALCHEMY_DATABASE_URI']='mysql://username:...
SQLAlchemy是一个Python ORM(对象关系映射)框架,它允许开发者使用Python对象来操作数据库。它支持多种数据库,包括MySQL、PostgreSQL、SQLite等。 from_statement是SQLAlchemy中的一个方法,它可以用于从自定义的SQL查询中创建ORM对象。使用from_statement方法可以让开发者更加灵活地操作数据库,同时保持代码的可读性和可...
from sqlalchemy import create_engine engine = create_engine('mysql+mysqlconnector://[user]:[pass]@[host]:[port]/[schema]', echo=False) cnx = engine.raw_connection() data = pd.read_sql('SELECT * FROM sample_table', cnx) data.to_sql(name='sample_table2', con=cnx, if_exists = '...
fromsqlalchemyimportcreate_engine We now need to create ourengine. The engine allows us to tell pandas which SQL dialect we’re using (in our case, MySQL) and provide it with the credentials it needs to access our database. This is all passed as one string, in the form of[dialec...
>>> from sqlalchemy import create_engine Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/usr/lib64/python2.7/site-packages/sqlalchemy/__init__.py", line 9, in <module> from .engine import create_engine File "/usr/lib64/python2.7/site-packages/sqlal...
Server(只有mysql和sqlite,默认是sqlite。因此会出现错误),但是从pandas0.14开始支持将数据帧写入MS SQL Server。 但是要使用此功能,您必须使用sqlalchemy引擎 (请参阅docs)而不是pyobdc连接对象。例如: from sqlalchemy import create_engine engine = create_engine('mssql+pyodbc://scott:tiger@mydsn') df.to_...