Data Archive

SQLAlchemy

SQLAlchemy is a Python SQL toolkit and Object Relational Mapper (ORM) that provides tools to interact with databases in a more Pythonic way. It allows you to work with relational databases such as MySQL, PostgreSQL, SQLite, and others without writing raw SQL queries manually.

Related:

In DE_Tools see:

Why Use SQLAlchemy?

  • Reduces SQL complexity: Write Python code instead of SQL queries.
  • Prevents SQL Injection: ORM prevents unsafe queries.
  • Improves maintainability: Easier to refactor code.
  • Handles connection pooling: Manages database connections efficiently.
  • Works with Pandas: Can load and save data directly to databases.

Key Features of SQLAlchemy

  1. Database Connectivity
    • Provides a unified interface to connect to different databases.
  2. SQL Query Execution
    • Allows execution of raw SQL queries using Pandas
  3. ORM (Object Relational Mapping)
    • Converts database tables into Python objects (classes).
    • Eliminates the need to write SQL Queries manually.
    • Example: 
      from sqlalchemy.orm import declarative_base
from sqlalchemy import Column, Integer, String
 
Base = declarative_base()
 
class Customer(Base):
    __tablename__ = 'customers'
    id = Column(Integer, primary_key=True)
    name = Column(String)
    phone_number = Column(String)
  4. Transaction Management
    • Provides robust control over commit and rollback operations.
    • Ensures data integrity by handling failures safely.
  5. Efficient Query Building

    • Allows writing Pythonic queries instead of raw SQL.

    • Example:

      from sqlalchemy.orm import sessionmaker
 
Session = sessionmaker(bind=engine)
session = Session()
 
customers = session.query(Customer).filter_by(name="John Doe").all()
  6. Supports Multiple Databases
    • Works with [[MySql],PostgreSQL,SQLite, etc.
    • Easily switch databases without changing the core logic.

Backlinks