Enhanced three_nf_synthesis for accurate 3NF decomposition

📅 2023-04-20 — Session: Enhanced three_nf_synthesis for accurate 3NF decomposition

🕒 20:30–20:40
🏷️ Labels: 3NF, Functional Dependencies, Python, Debugging, Database
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal:

The session aimed to address issues in the three_nf_synthesis function related to incorrect column names during 3NF decomposition, and to improve understanding and handling of functional dependencies in database relations.

Key Activities:

• Function Fix: Proposed a modification to the three_nf_synthesis function to accept DataFrame column names as an argument, ensuring accurate decomposition.
• Debugging: Identified and addressed an undefined variable F in the coding context.
• Conceptual Understanding: Explored the concept of functional dependencies in database relations and their importance in 3NF decomposition.
• Algorithm Implementation: Discussed methods for inferring functional dependencies using Armstrong’s axioms with a Python implementation.
• Library Utilization: Demonstrated the use of the combinations function from Python’s itertools module to generate column pairs from a DataFrame.
• Tool Introduction: Provided a guide for using SQLite Studio for managing and querying databases.

Achievements:

• Developed a clear plan to modify the three_nf_synthesis function for better accuracy in 3NF decomposition.
• Enhanced understanding of functional dependencies and their application in database design.

Pending Tasks:

• Implement and test the proposed changes to the three_nf_synthesis function.
• Define the variable F and ensure its correct usage in the code.
• Further explore methods for identifying functional dependencies in various data contexts.