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.. include:: tutorial_nav_include.rst
.. _tutorial_engine:
Establishing Connectivity - the Engine
==========================================
The start of any SQLAlchemy application is an object called the
:class:`_future.Engine`. This object acts as a central source of connections
to a particular database, providing both a factory as well as a holding
space called a :ref:`connection pool <pooling_toplevel>` for these database
connections. The engine is typically a global object created just
once for a particular database server, and is configured using a URL string
which will describe how it should connect to the database host or backend.
For this tutorial we will use an in-memory-only SQLite database. This is an
easy way to test things without needing to have an actual pre-existing database
set up. The :class:`_future.Engine` is created by using :func:`_sa.create_engine`, specifying
the :paramref:`_sa.create_engine.future` flag set to ``True`` so that we make full use
of :term:`2.0 style` usage:
.. sourcecode:: pycon+sql
>>> from sqlalchemy import create_engine
>>> engine = create_engine("sqlite+pysqlite:///:memory:", echo=True, future=True)
The main argument to :class:`_sa.create_engine`
is a string URL, above passed as the string ``"sqlite+pysqlite:///:memory:"``.
This string indicates to the :class:`_future.Engine` three important
facts:
1. What kind of database are we communicating with? This is the ``sqlite``
portion above, which links in SQLAlchemy to an object known as the
:term:`dialect`.
2. What :term:`DBAPI` are we using? The Python :term:`DBAPI` is a third party
driver that SQLAlchemy uses to interact with a particular database. In
this case, we're using the name ``pysqlite``, which in modern Python
use is the `sqlite3 <https://docs.python.org/library/sqlite3.html>`_ standard
library interface for SQLite. If omitted, SQLAlchemy will use a default
:term:`DBAPI` for the particular database selected.
3. How do we locate the database? In this case, our URL includes the phrase
``/:memory:``, which is an indicator to the ``sqlite3`` module that we
will be using an **in-memory-only** database. This kind of database
is perfect for experimenting as it does not require any server nor does
it need to create new files.
.. sidebar:: Lazy Connecting
The :class:`_future.Engine`, when first returned by :func:`_sa.create_engine`,
has not actually tried to connect to the database yet; that happens
only the first time it is asked to perform a task against the database.
This is a software design pattern known as :term:`lazy initialization`.
We have also specified a parameter :paramref:`_sa.create_engine.echo`, which
will instruct the :class:`_future.Engine` to log all of the SQL it emits to a
Python logger that will write to standard out. This flag is a shorthand way
of setting up
:ref:`Python logging more formally <dbengine_logging>` and is useful for
experimentation in scripts. Many of the SQL examples will include this
SQL logging output beneath a ``[SQL]`` link that when clicked, will reveal
the full SQL interaction.
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