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authorcyfraeviolae <cyfraeviolae>2024-04-03 03:17:55 -0400
committercyfraeviolae <cyfraeviolae>2024-04-03 03:17:55 -0400
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tree3ba25e17e3c3a5e82316558ba3864b955919ff72 /venv/lib/python3.11/site-packages/SQLAlchemy-2.0.29.dist-info/METADATA
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-Metadata-Version: 2.1
-Name: SQLAlchemy
-Version: 2.0.29
-Summary: Database Abstraction Library
-Home-page: https://www.sqlalchemy.org
-Author: Mike Bayer
-Author-email: mike_mp@zzzcomputing.com
-License: MIT
-Project-URL: Documentation, https://docs.sqlalchemy.org
-Project-URL: Issue Tracker, https://github.com/sqlalchemy/sqlalchemy/
-Classifier: Development Status :: 5 - Production/Stable
-Classifier: Intended Audience :: Developers
-Classifier: License :: OSI Approved :: MIT License
-Classifier: Operating System :: OS Independent
-Classifier: Programming Language :: Python
-Classifier: Programming Language :: Python :: 3
-Classifier: Programming Language :: Python :: 3.7
-Classifier: Programming Language :: Python :: 3.8
-Classifier: Programming Language :: Python :: 3.9
-Classifier: Programming Language :: Python :: 3.10
-Classifier: Programming Language :: Python :: 3.11
-Classifier: Programming Language :: Python :: 3.12
-Classifier: Programming Language :: Python :: Implementation :: CPython
-Classifier: Programming Language :: Python :: Implementation :: PyPy
-Classifier: Topic :: Database :: Front-Ends
-Requires-Python: >=3.7
-Description-Content-Type: text/x-rst
-License-File: LICENSE
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-
-SQLAlchemy
-==========
-
-|PyPI| |Python| |Downloads|
-
-.. |PyPI| image:: https://img.shields.io/pypi/v/sqlalchemy
- :target: https://pypi.org/project/sqlalchemy
- :alt: PyPI
-
-.. |Python| image:: https://img.shields.io/pypi/pyversions/sqlalchemy
- :target: https://pypi.org/project/sqlalchemy
- :alt: PyPI - Python Version
-
-.. |Downloads| image:: https://static.pepy.tech/badge/sqlalchemy/month
- :target: https://pepy.tech/project/sqlalchemy
- :alt: PyPI - Downloads
-
-
-The Python SQL Toolkit and Object Relational Mapper
-
-Introduction
--------------
-
-SQLAlchemy is the Python SQL toolkit and Object Relational Mapper
-that gives application developers the 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.
-
-Major SQLAlchemy features include:
-
-* An industrial strength ORM, built
- from the core on the identity map, unit of work,
- and data mapper patterns. These patterns
- allow transparent persistence of objects
- using a declarative configuration system.
- Domain models
- can be constructed and manipulated naturally,
- and changes are synchronized with the
- current transaction automatically.
-* A relationally-oriented query system, exposing
- the full range of SQL's capabilities
- explicitly, including joins, subqueries,
- correlation, and most everything else,
- in terms of the object model.
- Writing queries with the ORM uses the same
- techniques of relational composition you use
- when writing SQL. While you can drop into
- literal SQL at any time, it's virtually never
- needed.
-* A comprehensive and flexible system
- of eager loading for related collections and objects.
- Collections are cached within a session,
- and can be loaded on individual access, all
- at once using joins, or by query per collection
- across the full result set.
-* A Core SQL construction system and DBAPI
- interaction layer. The SQLAlchemy Core is
- separate from the ORM and is a full database
- abstraction layer in its own right, and includes
- an extensible Python-based SQL expression
- language, schema metadata, connection pooling,
- type coercion, and custom types.
-* All primary and foreign key constraints are
- assumed to be composite and natural. Surrogate
- integer primary keys are of course still the
- norm, but SQLAlchemy never assumes or hardcodes
- to this model.
-* Database introspection and generation. Database
- schemas can be "reflected" in one step into
- Python structures representing database metadata;
- those same structures can then generate
- CREATE statements right back out - all within
- the Core, independent of the ORM.
-
-SQLAlchemy's philosophy:
-
-* SQL databases behave less and less like object
- collections the more size and performance start to
- matter; object collections behave less and less like
- tables and rows the more abstraction starts to matter.
- SQLAlchemy aims to accommodate both of these
- principles.
-* An ORM doesn't need to hide the "R". A relational
- database provides rich, set-based functionality
- that should be fully exposed. SQLAlchemy's
- ORM provides an open-ended set of patterns
- that allow a developer to construct a custom
- mediation layer between a domain model and
- a relational schema, turning the so-called
- "object relational impedance" issue into
- a distant memory.
-* The developer, in all cases, makes all decisions
- regarding the design, structure, and naming conventions
- of both the object model as well as the relational
- schema. SQLAlchemy only provides the means
- to automate the execution of these decisions.
-* With SQLAlchemy, there's no such thing as
- "the ORM generated a bad query" - you
- retain full control over the structure of
- queries, including how joins are organized,
- how subqueries and correlation is used, what
- columns are requested. Everything SQLAlchemy
- does is ultimately the result of a developer-initiated
- decision.
-* Don't use an ORM if the problem doesn't need one.
- SQLAlchemy consists of a Core and separate ORM
- component. The Core offers a full SQL expression
- language that allows Pythonic construction
- of SQL constructs that render directly to SQL
- strings for a target database, returning
- result sets that are essentially enhanced DBAPI
- cursors.
-* Transactions should be the norm. With SQLAlchemy's
- ORM, nothing goes to permanent storage until
- commit() is called. SQLAlchemy encourages applications
- to create a consistent means of delineating
- the start and end of a series of operations.
-* Never render a literal value in a SQL statement.
- Bound parameters are used to the greatest degree
- possible, allowing query optimizers to cache
- query plans effectively and making SQL injection
- attacks a non-issue.
-
-Documentation
--------------
-
-Latest documentation is at:
-
-https://www.sqlalchemy.org/docs/
-
-Installation / Requirements
----------------------------
-
-Full documentation for installation is at
-`Installation <https://www.sqlalchemy.org/docs/intro.html#installation>`_.
-
-Getting Help / Development / Bug reporting
-------------------------------------------
-
-Please refer to the `SQLAlchemy Community Guide <https://www.sqlalchemy.org/support.html>`_.
-
-Code of Conduct
----------------
-
-Above all, SQLAlchemy places great emphasis on polite, thoughtful, and
-constructive communication between users and developers.
-Please see our current Code of Conduct at
-`Code of Conduct <https://www.sqlalchemy.org/codeofconduct.html>`_.
-
-License
--------
-
-SQLAlchemy is distributed under the `MIT license
-<https://www.opensource.org/licenses/mit-license.php>`_.
-