sqlalchemy 0.7.4-1ubuntu0.1 source package in Ubuntu

Changelog

sqlalchemy (0.7.4-1ubuntu0.1) precise-proposed; urgency=low

  * debian/patches/lp1025544-fix-sqlite-reflection.patch: Fix sqlite database
    reflection bug that can result in FK constraint name type issues.
    (LP: #1025544)
 -- Adam Gandelman <email address hidden>   Tue, 17 Jul 2012 17:57:24 -0700

Upload details

Uploaded by:
Adam Gandelman on 2012-08-08
Sponsored by:
Marc Deslauriers
Uploaded to:
Precise
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
python
Urgency:
Low Urgency

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Series Pocket Published Component Section
Precise updates on 2012-08-30 main python

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sqlalchemy_0.7.4.orig.tar.gz 2.4 MiB 86157a5579dd67cb61600dcab9eb3edebe4cf344fa42e46e8f3edf1890cdfa87
sqlalchemy_0.7.4-1ubuntu0.1.debian.tar.gz 11.2 KiB 8bdd6ac3eee445dec7ef1226403dd1ec2b64c45898a8940b62b126f899ea8e0c
sqlalchemy_0.7.4-1ubuntu0.1.dsc 2.4 KiB bf82f287f9759f18cce459357d70a73823da0176a8a55974795103c60fb746de

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Binary packages built by this source

python-sqlalchemy: SQL toolkit and Object Relational Mapper for Python

 SQLAlchemy is an SQL database abstraction library for Python.
 Its strengths are:
  * full power and flexibility of SQL. SQLAlchemy provides a full suite
    of well known enterprise-level persistence patterns, designed for
    efficient and high-performing database access, adapted into a simple
    and Pythonic domain language.
  * extremely easy to use for all the basic tasks, such as: accessing pooled
    connections, constructing SQL from Python expressions, finding object
    instances, and committing object modifications back to the database.
  * powerful enough for complicated tasks, such as: eager load a graph of
    objects and their dependencies via joins; map recursive adjacency
    structures automatically; map objects to not just tables but to any
    arbitrary join or select statement; combine multiple tables together to
    load whole sets of otherwise unrelated objects from a single result set;
    commit entire graphs of object changes in one step.
  * built to conform to what DBAs demand, including the ability to swap out
    generated SQL with hand-optimized statements, full usage of bind parameters
    for all literal values, fully transactionalized and consistent updates
    using Unit of Work.
  * modular. Different parts of SQLAlchemy can be used independently of the
    rest, including the connection pool, SQL construction, and ORM. SQLAlchemy
    is constructed in an open style that allows plenty of customization, with
    an architecture that supports custom datatypes, custom SQL extensions, and
    ORM plugins which can augment or extend mapping functionality.

python-sqlalchemy-doc: documentation for the SQLAlchemy Python library

 SQLAlchemy is an SQL database abstraction library for Python.
 .
 This package contains the documentation for SQLAlchemy in HTML format.
 It's usable as a comprehensive reference, a user guide and a tutorial
 all-in-one.

python-sqlalchemy-ext: SQL toolkit and Object Relational Mapper for Python - C extension

 SQLAlchemy is an SQL database abstraction library for Python.
 .
 This package contains C coded extension accelerator for SQLAlchemy.

python3-sqlalchemy: SQL toolkit and Object Relational Mapper for Python 3

 SQLAlchemy is an SQL database abstraction library for Python.
 Its strengths are:
  * full power and flexibility of SQL. SQLAlchemy provides a full suite
    of well known enterprise-level persistence patterns, designed for
    efficient and high-performing database access, adapted into a simple
    and Pythonic domain language.
  * extremely easy to use for all the basic tasks, such as: accessing pooled
    connections, constructing SQL from Python expressions, finding object
    instances, and committing object modifications back to the database.
  * powerful enough for complicated tasks, such as: eager load a graph of
    objects and their dependencies via joins; map recursive adjacency
    structures automatically; map objects to not just tables but to any
    arbitrary join or select statement; combine multiple tables together to
    load whole sets of otherwise unrelated objects from a single result set;
    commit entire graphs of object changes in one step.
  * built to conform to what DBAs demand, including the ability to swap out
    generated SQL with hand-optimized statements, full usage of bind parameters
    for all literal values, fully transactionalized and consistent updates
    using Unit of Work.
  * modular. Different parts of SQLAlchemy can be used independently of the
    rest, including the connection pool, SQL construction, and ORM. SQLAlchemy
    is constructed in an open style that allows plenty of customization, with
    an architecture that supports custom datatypes, custom SQL extensions, and
    ORM plugins which can augment or extend mapping functionality.