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| author | Mike Bayer <mike_mp@zzzcomputing.com> | 2007-01-06 22:26:37 +0000 |
|---|---|---|
| committer | Mike Bayer <mike_mp@zzzcomputing.com> | 2007-01-06 22:26:37 +0000 |
| commit | 47b95e421c0c0aed7b2db358929b0b77d161af43 (patch) | |
| tree | 9d808eb806fda559b720dbf9c6d96f180c1a8818 /setup.py | |
| parent | 6d278f307ea9407993a2cc4b01bcd09f6e819834 (diff) | |
| download | sqlalchemy-47b95e421c0c0aed7b2db358929b0b77d161af43.tar.gz | |
added SVN link to setup.py description
Diffstat (limited to 'setup.py')
| -rw-r--r-- | setup.py | 4 |
1 files changed, 4 insertions, 0 deletions
@@ -36,6 +36,10 @@ SQLAlchemy's Advantages: * Self-referential tables and mappers are supported. Adjacency list structures can be created, saved, and deleted with proper cascading, with no extra programming. * Data mapping can be used in a row-based manner. Any bizarre hyper-optimized query that you or your DBA can cook up, you can run in SQLAlchemy, and as long as it returns the expected columns within a rowset, you can get your objects from it. For a rowset that contains more than one kind of object per row, multiple mappers can be chained together to return multiple object instance lists from a single database round trip. * The type system allows pre- and post- processing of data, both at the bind parameter and the result set level. User-defined types can be freely mixed with built-in types. Generic types as well as SQL-specific types are available. + +SVN version: +<http://svn.sqlalchemy.org/sqlalchemy/trunk#egg=SQLAlchemy-dev> + """, classifiers = [ "Development Status :: 4 - Beta", |