__init__.py :  » Database » SQLAlchemy » SQLAlchemy-0.6.0 » examples » vertical » Python Open Source

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Python Open Source » Database » SQLAlchemy 
SQLAlchemy » SQLAlchemy 0.6.0 » examples » vertical » __init__.py
"""
Illustrates "vertical table" mappings.

A "vertical table" refers to a technique where individual attributes of an object are stored as distinct rows in a table.   
The "vertical table" technique is used to persist objects which can have a varied set of attributes, at the expense of simple query control and brevity.   It is commonly found in content/document management systems in order to represent user-created structures flexibly.

Two variants on the approach are given.  In the second, each row references a "datatype" which contains information about the type of information stored in the attribute, such as integer, string, or date.


Example::

    shrew = Animal(u'shrew')
    shrew[u'cuteness'] = 5
    shrew[u'weasel-like'] = False
    shrew[u'poisonous'] = True

    session.add(shrew)
    session.flush()

    q = (session.query(Animal).
         filter(Animal.facts.any(
           and_(AnimalFact.key == u'weasel-like',
                AnimalFact.value == True))))
    print 'weasel-like animals', q.all()


"""
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