[英]How to query pre-existing table from SQlAlchemy ORM session?
I'm using SQLAlchemy to do some data processing and create some tables.我正在使用 SQLAlchemy 进行一些数据处理并创建一些表。 I'm loading data from an table
orm_table
defined with the Declarative Base
class ORMTable
, so can query the database with the session.query(ORMTable).all()
statement.我加载数据从表
orm_table
与定义的Declarative Base
类ORMTable
,所以可以查询与数据库session.query(ORMTable).all()
语句。
However, I also need to query another table non_orm_table
that already exists in the database and is not defined in the orm.但是,我还需要查询数据库中已存在且未在orm中定义的另一个表
non_orm_table
。 How do I query this table from within the same session?如何从同一会话中查询此表? I don't have a class associated with it so wondering what is the standard practice for such cases?
我没有与之相关的课程,所以想知道这种情况的标准做法是什么?
Here is the code snippet to make it:这是实现它的代码片段:
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
engine = create_engine('<db_connection_string>', echo=True)
Base = declarative_base(engine)
class NonOrmTable(Base):
"""
eg. fields: id, title
"""
__tablename__ = 'non_orm_table'
__table_args__ = {'autoload': True}
def loadSession():
""""""
metadata = Base.metadata
Session = sessionmaker(bind=engine)
session = Session()
return session
if __name__ == "__main__":
session = loadSession()
res = session.query(NonOrmTable).all()
print res[1].title
The key is to use SqlAlchemy's autoload
attribute.关键是要使用
SqlAlchemy's autoload
属性。 It will map the existing table field names to the class dynamically.它将现有的表字段名称动态映射到类。
I hope it helps.我希望它有帮助。
You can also do it as below.您也可以按照以下方式进行。
#Considering account is your table and first_name is a column
from sqlalchemy import create_engine, select, MetaData, Table
CONN = create_engine('postgresql+psycopg2://username:password@localhost:5432/dbname',
client_encoding="UTF-8")
META_DATA = MetaData(bind=CONN, reflect=True)
account = META_DATA.tables['account']
stmt = select([account]).where(account.columns.first_name == 'Michael')
connection = CONN.connect()
results = connection.execute(stmt).fetchall()
# to print the result
for result in results:
print(result)
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