Dynamic Table Creation and ORM mapping in SqlAlchemy

Question

I\'m fairly new to using relational databases, so I prefer using a good ORM to simplify things. I spent time evaluating different Python ORMs and I think SQLAlchemy is what

Answer 1

We are spoiled by SQLAlchemy.
What follows below is taken directly from the tutorial,
and is really easy to setup and get working.

And because it is done so often,
the documentation moved to full declarative in Aug 2011.

Setup your environment (I'm using the SQLite in-memory db to test):

>>> from sqlalchemy import create_engine
>>> engine = create_engine('sqlite:///:memory:', echo=True)
>>> from sqlalchemy import Table, Column, Integer, String, MetaData
>>> metadata = MetaData()

Define your table:

>>> players_table = Table('players', metadata,
...   Column('id', Integer, primary_key=True),
...   Column('name', String),
...   Column('score', Integer)
... )
>>> metadata.create_all(engine) # create the table

If you have logging turned on, you'll see the SQL that SQLAlchemy creates for you.

Define your class:

>>> class Player(object):
...     def __init__(self, name, score):
...         self.name = name
...         self.score = score
...
...     def __repr__(self):
...        return "" % (self.name, self.score)

Map the class to your table:

>>> from sqlalchemy.orm import mapper
>>> mapper(Player, players_table) 

Create a player:

>>> a_player = Player('monty', 0)
>>> a_player.name
'monty'
>>> a_player.score
0

That's it, you now have a your player table.