The SQLAlchemy SQL Toolkit and Object Relational Mapper is a comprehensive set of tools for working with databases and Python. It has several distinct areas of functionality which can be used individually or combined together. Its major components are illustrated below. The arrows represent the general dependencies of components:
Above, the two most significant front-facing portions of SQLAlchemy are the Object Relational Mapper and the SQL Expression Language. SQL Expressions can be used independently of the ORM. When using the ORM, the SQL Expression language remains part of the public facing API as it is used within object-relational configurations and queries.
In :ref:`orm_toplevel`, the Object Relational Mapper is introduced and fully described. New users should begin with the :ref:`ormtutorial_toplevel`. If you want to work with higher-level SQL which is constructed automatically for you, as well as management of Python objects, proceed to this tutorial.
In :ref:`core_toplevel`, the breadth of SQLAlchemy's SQL and database integration and description services are documented, the core of which is the SQL Expression language. The SQL Expression Language is a toolkit all its own, independent of the ORM package, which can be used to construct manipulable SQL expressions which can be programmatically constructed, modified, and executed, returning cursor-like result sets. In contrast to the ORM's domain-centric mode of usage, the expression language provides a schema-centric usage paradigm. New users should begin here with :ref:`sqlexpression_toplevel`. SQLAlchemy engine, connection, and pooling services are also described in :ref:`core_toplevel`.
In :ref:`dialect_toplevel`, reference documentation for all provided database and DBAPI backends is provided.
Working code examples, mostly regarding the ORM, are included in the SQLAlchemy distribution. A description of all the included example applications is at :ref:`examples_toplevel`.
There is also a wide variety of examples involving both core SQLAlchemy constructs as well as the ORM on the wiki. See http://www.sqlalchemy.org/trac/wiki/UsageRecipes.
SQLAlchemy builds using the standard Python Distutils approach.
Installing with setuptools or pip
# easy_install SQLAlchemy
Or with pip:
# pip install SQLAlchemy
This command will download the latest version of SQLAlchemy from the Python Cheese Shop and install it to your system.
Installing using setup.py
Otherwise, you can install from the distribution using the setup.py script:
# python setup.py install
Installing the C Extensions
SQLAlchemy includes C extensions which provide an extra speed boost for dealing with result sets.
To install including building the C extensions, use the --with-cextensions flag. This flag must be on the command line before the actual install or build command:
python setup.py --with-cextensions install
Or with pip:
pip install --global-option='--with-cextensions' SQLAlchemy
Installing on Python 3
SQLAlchemy ships as Python 2 code. For Python 3 usage, the setup.py script will invoke the Python 2to3 tool on the build, plugging in an extra "preprocessor" as well. Using the Python 3 interpreter with setup.py or a Python 3 version of easy_install or pip is all that's needed.
Installing a Database API
Checking the Installed SQLAlchemy Version
This documentation covers SQLAlchemy version 0.6. If you're working on a system that already has SQLAlchemy installed, check the version from your Python prompt like this:
>>> import sqlalchemy >>> sqlalchemy.__version__ # doctest: +SKIP 0.6.0
0.5 to 0.6 Migration
Notes on what's changed from 0.5 to 0.6 is available on the SQLAlchemy wiki at 06Migration.