fromsqlalchemyimportcreate_enginefromsqlalchemy.ormimportdeclarative_base, sessionmakerfromtypingimportGeneratorfromcore.configimportsettings#常规同步处理engine =create_engine(settings.DB_URI) SessionLocal= sessionmaker(autocommit=False, autoflush=False, bind=engine)defget_db() ->Generator:"""创建一个 SQL...
由于bulk_insert_mappings在 SQLAlchemy 的异步版本中可能不直接支持,你可以使用add_all方法来批量添加对象。 asyncdefsave_import(self, data: List[DtoType], db: AsyncSession) ->bool:"""批量导入对象"""try:#将 DTO 转换为模型实例db_objs = [self.model(**obj_in.model_dump())forobj_inindata]#...
from sqlalchemy import create_engine # 创建数据库引擎 engine = create_engine('sqlite:///my_database.db')执行 SQL 查询 使用 SQLite cursor = conn.cursor()cursor.execute("SELECT FROM my_table")rows = cursor.fetchall()使用 SQLAlchemy from sqlalchemy import text # 创建 Session 实例 Session ...
使用where 的示例(SQLAlchemy Core): from sqlalchemy.future import select from sqlalchemy.ext.asyncio import AsyncSession async def get(self, id: int, db: AsyncSession) -> Optional[ModelType]: query = select(self.model).where(self.model.id == id) result = await db.execute(query) return ...
2.原生SQL的查询 在实际的使用过程中,有些时候可能会遇到用SQLAlchemy不能够很好利用数据库的特性,或者需要写很多关联的时候,我们也可以写原生的SQL,然后使用SQLAlchemy去执行。 sql_0 = """ SELECT * FROM `user` """ #print(dir(session)) rows = session.execute(sql_0) ...
执行SQL 查询数据 from sqlalchemy import create_engine,text with engine.connect() as conn: result = conn.execute(text("select * from test")) print(result.all()) 1. 2. 3. 4. 逐行读取数据 with engine.begin() as conn: result = conn.execute(text("SELECT * FROM TEST")); ...
BASE_URI="mysql+pymysql://{username}:{password}@{ip_address}:{port}/{database}"# SQLite, #相对于 Flask 实例路径SQLALCHEMY_DATABASE_URI="sqlite:///project.db"SQLALCHEMY_ECHO=True# 如果设置为True,SQLALchemy会记录所有发给stderr的语句,这对调试有用(会打印sql语句)SQLALCHEMY_POOL_SIZE#数据库...
ext.declarative import declarative_base from sqlalchemy import Column, Integer, String, DateTime, Boolean engine = create_engine('mysql+pymysql://username:passwd@localhost:port/db?charset=utf8', max_overflow=5) # max_overflow 最多多几个连接 Base = declarative_base() Session = sessionmaker(bind...
from sqlalchemy import create_engine, text engine = create_engine("mysql+pymysql://root:123456@192.168.1.5:3306/db_test?charset=utf8") with engine.connect() as conn: sql = "select id, name from users" result = conn.execute(text(sql)) ...