Python’s SQLAlchemy vs Other ORMs[转发 1]SQLObject

SQLObject

SQLObject is a Python ORM that maps objects between a SQL database and Python. It is becoming more popular in the programming community due to its similarity to Ruby on Rails' ActiveRecord pattern. The first version of SQLObject was released in October 2002. It is licensed under LGPL.

In SQLObject, database concepts are mapped into Python in a way that's very similar to SQLAlchemy, where tables are mapped as classes, rows as instances and columns as attributes. It also provides a Python-object-based query language that makes SQL more abstract, thus providing database agnosticity for applications.

 $ pip install sqlobject
 Downloading/unpacking sqlobject
 Downloading SQLObject-1.5.1.tar.gz (276kB): 276kB downloaded
 Running setup.py egg_info for package sqlobject

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 Installing collected packages: sqlobject
 Running setup.py install for sqlobject
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 Successfully installed sqlobject
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 >>> from sqlobject import StringCol, SQLObject, ForeignKey, sqlhub, connectionForURI
 >>> sqlhub.processConnection = connectionForURI('sqlite:/:memory:')
 >>>
 >>> class Person(SQLObject):
 ...     name = StringCol()
 ...
 >>> class Address(SQLObject):
 ...     address = StringCol()
 ...     person = ForeignKey('Person')
 ...
 >>> Person.createTable()
 []
 >>> Address.createTable()
 []

The code above created two simple tables: person and address. To create or insert records into these two tables, we simply instantiate a person and an address like normal Python objects:

 >>> p = Person(name='person')
 >>> a = Address(address='address', person=p)
 >>> p

 >>> a
 <address>

To get or retrieve the new records from the database, we use the magical q object attached to the Person and Address classes:

 >>> persons = Person.select(Person.q.name == 'person')
 >>> persons

 >>> list(persons)
 []
 >>> p1 = persons[0]
 >>> p1 == p
 True
 >>> addresses = Address.select(Address.q.person == p1)
 >>> addresses

 >>> list(addresses)
 [<address>]
 >>> a1 = addresses[0]
 >>> a1 == a
 True