Release: 1.4.0b1 beta release | Release Date: November 2, 2020

SQLAlchemy 1.4 Documentation

SQLAlchemy 1.4 / 2.0 Tutorial

This page is part of the SQLAlchemy 1.4 / 2.0 Tutorial.

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Establishing Connectivity - the Engine

The start of any SQLAlchemy application is an object called the 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 connection pool 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 Engine is created by using create_engine(), specifying the create_engine.future flag set to True so that we make full use of 2.0 style usage:

>>> from sqlalchemy import create_engine
>>> engine = create_engine("sqlite+pysqlite:///:memory:", echo=True, future=True)

The main argument to create_engine is a string URL, above passed as the string "sqlite+pysqlite:///:memory:". This string indicates to the 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 dialect.

  2. What DBAPI are we using? The Python 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 standard library interface for SQLite. If omitted, SQLAlchemy will use a default 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.

We have also specified a parameter create_engine.echo, which will instruct the 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 Python logging more formally 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.

SQLAlchemy 1.4 / 2.0 Tutorial

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