How to approach writing code that is an agnostic database system?

352    Asked by JonathanSkinner in Data Science , Asked on Nov 27, 2023

I am a software developer and in the context of software development, how should I approach writing code that is agnostic to a specific database system? What should be the considerations and best practices should I consider to ensure the code remains adaptable and compatible with various technologies related to databases? 

Answered by Chris Dyer

In order to write database-agnostic code there are various strategies that can enable seamless integration with a different and wide range of database systems.

Among the various approaches, the best may use an Object-Relational Mapping (ORM) framework. The very useful benefit of using ORM is that it enables the abstraction of database-specific details. Further, you should define a clear and standardized database schema which can lead to avoiding vendor-specific values. You can use parameterized queries in order to prevent reliance on database-specific syntax. Do not forget to maintain a consistent coding style and naming conventions in order to enhance the feasibility and portability of the codes. You can also use an error-handling mechanism that should be independent of database intricacies in case of failures. For keeping the work easier check your code regularly to identify and troubleshoot the possible issue early on. Here is the coding structure given:-

From sqlalchemy import create_engine, Column, Integer, String
From sqlalchemy.ext.declarative import declarative_base
From sqlalchemy.orm import session maker
# Define an engine to connect to the database
Engine = create_engine(‘DATABASE_URI’) # Replace with your database URI or connection string
Base = declarative_base()
# Define a sample model using SQLAlchemy ORM
Class User(Base):
    __tablename__ = ‘users’
    Id = Column(Integer, primary_key=True)
    Name = Column(String)
    Email = Column(String)
# Create tables in the database (if they don’t exist)
Base.metadata.create_all(engine)
# Example usage:
# Instantiate a session
Session = sessionmaker(bind=engine)
Session = Session()
# Perform database operations using ORM methods
# For instance, adding a new user:
New_user = User(name=’John Doe’, email=’john@example.com’)
Session.add(new_user)
Session.commit()
# Retrieve users
Users = session.query(User).all()
For a user in users:
    Print(f”User: {user.name}, Email: {user.email}”)
# Close the session
Session.close()

By following the above practices, you can write code that is agnostic to a specific database system. For more knowledge follow the 'Data Science course’.



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