Python 資料庫入門
Jason Myers
Co-Author of Essential SQLAlchemy and Software Engineer
from sqlalchemy import create_engineengine = create_engine('sqlite:///census_nyc.sqlite')connection = engine.connect()

Driver + Dialect

檔名
在查詢資料庫前,你需要先知道裡面有什麼,例如有哪些資料表:
from sqlalchemy import create_engineengine = create_engine('sqlite:///census_nyc.sqlite')print(engine.table_names())
['census', 'state_fact']
Reflection 會讀取資料庫並建立 SQLAlchemy 的 Table 物件。
from sqlalchemy import MetaData, Tablemetadata = MetaData()census = Table('census', metadata, autoload=True, autoload_with=engine)print(repr(census))
Table('census', MetaData(bind=None), Column('state', VARCHAR(
length=30), table=<census>), Column('sex', VARCHAR(length=1),
table=<census>), Column('age', INTEGER(), table=<census>),
Column('pop2000', INTEGER(), table=<census>), Column('pop2008',
INTEGER(), table=<census>), schema=None)
Python 資料庫入門