conn.execute(sql) except SQLAlchemyError as e: print("数据库错误:",str(e)) 与ORM结合使用 在已定义模型类的情况下,可混合使用原生SQL和ORM查询: from sqlalchemy.orm import aliased UserAlias = aliased(User) session.query(UserAlias).from_statement(text("SELECT FROM users")).all() ...
1 insertintotable_name(id, company_id, store_no, item_no, size_no, item_quality, record_type, cell_no, im_time, im_qty, deal_time, deal_qty, if_finish, etl_time )values('71afb358-9f66-404a-a168-76af01e6fcfa','1','I0215','2023072157922','%(175)s/96A(2XL)%(175)s/80A(...
To execute SQL queries with SQLAlchemy, we can use theexecutemethod of the session object. We can pass an SQL statement as a string to theexecutemethod to execute the query. Here is an example of executing a simple SQL query to select all records from a table: result=session.execute("SELE...
The most readable way to use text is to import the module, then after connecting to the engine, define the text SQL statement string before using .execute to run it: from sqlalchemy.sql import text with engine.connect() as con: data = ( { "id": 1, "title": "The Hobbit", "...
statement = select(Dog) # SQLAlchemy statement goes here res = session.execute(statement) for dog in res: print(dog) 在SQLAlchemy中,我们必须为每个现有的表创建一个类,然后才能与数据库进行交互。虽然这一开始可能看起来有些麻烦,但当代码库变得庞大时,长远来看这会让事情变得更容易。
conn = engine.raw_connection() cursor=conn.cursor() cursor.execute('select * from aritcle') print(cursor.fetchall())3 创建操作数据表# 第一步:导入 from sqlalchemy import create_engine import datetime from sqlalchemy.ext.declarative import declarative_base from sqlalchemy import Column, Integer,...
SQL 表达式和字符串可以通过Session在其事务上下文中执行。最简单的方法是使用Session.execute()方法,它以与Engine或Connection相同的方式返回一个CursorResult: 代码语言:javascript 复制 Session = sessionmaker(bind=engine) session = Session() # execute a string statement ...
execute(statement).all() 添加新项或更新现有项 代码语言:javascript 代码运行次数:0 运行 AI代码解释 user1 = User(name="user1") user2 = User(name="user2") session.add(user1) session.add(user2) session.commit() # write changes to the database 要一次向会话添加项目列表,请使用: 代码语言:...
cursor.execute("select * from lab") # 执行sql语句 result = cursor.fetchall() # 查询所有语句 cursor.close() # 关闭游标 conn.close() # 关闭连接 return result print(task()) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12.
'close', 'commit', 'connection', 'delete', 'execute', 'expire', 'expire_all', 'expunge', 'expunge_all', 'flush', 'get_bind', 'is_modified', 'bulk_save_objects', 'bulk_insert_mappings', 'bulk_update_mappings', 'merge', 'query', 'refresh', 'rollback', ...