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https://github.com/sqlalchemy/sqlalchemy.git
synced 2026-05-13 04:07:20 -04:00
Mike Bayer
b729503a3e
given instance is the same instance which is already present. - merge() now also merges the "options" associated with a given state, i.e. those passed through query.options() which follow along with an instance, such as options to eagerly- or lazyily- load various attributes. This is essential for the construction of highly integrated caching schemes. This is a subtle behavioral change vs. 0.5. - A bug was fixed regarding the serialization of the "loader path" present on an instance's state, which is also necessary when combining the usage of merge() with serialized state and associated options that should be preserved. - The "query_cache" examples have been removed, and are replaced with a fully comprehensive approach that combines the usage of Beaker with SQLAlchemy. New query options are used to indicate the caching characteristics of a particular Query, which can also be invoked deep within an object graph when lazily loading related objects. See /examples/beaker_caching/README.
49 lines
1.6 KiB
Python
49 lines
1.6 KiB
Python
"""fixture_data.py
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Installs some sample data. Here we have a handful of postal codes for a few US/
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Canadian cities. Then, 100 Person records are installed, each with a
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randomly selected postal code.
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"""
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from meta import Session, Base
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from model import City, Country, PostalCode, Person, Address
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import random
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def install():
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Base.metadata.create_all(Session().bind)
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data = [
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('Chicago', 'United States', ('60601', '60602', '60603', '60604')),
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('Montreal', 'Canada', ('H2S 3K9', 'H2B 1V4', 'H7G 2T8')),
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('Edmonton', 'Canada', ('T5J 1R9', 'T5J 1Z4', 'T5H 1P6')),
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('New York', 'United States', ('10001', '10002', '10003', '10004', '10005', '10006')),
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('San Francisco', 'United States', ('94102', '94103', '94104', '94105', '94107', '94108'))
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]
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countries = {}
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all_post_codes = []
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for city, country, postcodes in data:
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try:
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country = countries[country]
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except KeyError:
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countries[country] = country = Country(country)
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city = City(city, country)
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pc = [PostalCode(code, city) for code in postcodes]
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Session.add_all(pc)
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all_post_codes.extend(pc)
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for i in xrange(1, 51):
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person = Person(
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"person %.2d" % i,
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Address(
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street="street %.2d" % i,
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postal_code=all_post_codes[random.randint(0, len(all_post_codes) - 1)]
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)
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)
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Session.add(person)
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Session.commit()
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# start the demo fresh
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Session.remove() |