SQLAlchemy engine, connection and session difference
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Introduction
SQLAlchemy is a powerful and popular SQL toolkit and Object-Relational Mapping (ORM) library for Python. It provides developers with tools to interact with relational databases in a Pythonic way. Key concepts in SQLAlchemy include engines, connections, and sessions. Understanding the differences between these components is crucial for effective database management and manipulation in your applications. This article will provide a detailed breakdown of each component and their roles.
SQLAlchemy Core
Before delving into the distinctions, it's essential to recognize SQLAlchemy's two primary components: the Core and the ORM. The Core provides the foundation for query generation and database interaction, while the ORM builds on top of Core, offering a higher-level abstraction.
Engine
The Engine is a fundamental concept in SQLAlchemy. At its core, the Engine acts as an interface to the database, managing connections and executing SQL statements. When you create an Engine, you're essentially configuring the details required to connect to a particular database.
Creating an Engine
- Connection Management: The Engine manages the pool of database connections, ensuring efficient reuse and handling of connections.
- SQL Execution: The Engine is responsible for executing SQL commands and returning the results.
- Dialect Usage: SQLAlchemy supports multiple databases through dialects. The Engine uses the appropriate dialect to adapt the generated SQL command to the specific database type.
- Transaction Control: Once a connection is established, transactions can be started and managed using methods like `begin`, `commit`, and `rollback`.
- SQL Command Execution: Like the Engine, a Connection also supports executing SQL commands.
- Lifetime Management: Connections are typically short-lived. It's best practice to close them after their intended use.
- Object Persistence: Sessions handle the persistence of ORM-mapped objects (i.e., instances of classes that represent tables).
- Transaction Management: Sessions are associated with transactional demarcation. Once a session begins, it operates within the context of a database transaction.
- Identity Map: A Session maintains an identity map of object instances, ensuring changes to objects are tracked and can be committed to the database.
Related reading
- SQLAlchemy IN clause
- SQLAlchemy ORDER BY DESCENDING?
- SQLAlchemy print the actual query
- sqlalchemy unique across multiple columns
- SQLAlchemy What's the difference between flush and commit?
- sqlalchemy.exc.NoSuchModuleError Can't load plugin sqlalchemy.dialectspostgres
- SqlCommand Close and Dispose - which to call?
- SqlDataAdapter vs SqlDataReader

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