📅 2023-04-20 — Session: Resolved Database Table Management and Error Handling
🕒 20:10–20:25
🏷️ Labels: Python, SQL, Database Management, Error Handling
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal:
The session aimed to address various database management tasks using Python and SQL, focusing on table decomposition, error handling, and connection management.
Key Activities:
- Decomposing Tables: Implemented Python code to decompose a database table into multiple tables using SQL
cursor.execute(). - SQL Table Name Error: Resolved an error in SQL table creation by converting frozen set objects to strings.
- Handling Table Conflicts: Managed existing database tables by either dropping them or renaming new tables to avoid conflicts.
- Retrieving Column Names: Used SQL and Python to retrieve column names from an R table.
- SQLite Table Creation: Corrected SQLite table creation from a DataFrame by dropping the existing table and recreating it with the correct schema.
- Database Connection Errors: Addressed issues with cursor creation after closing a database connection, ensuring proper connection management.
Achievements:
- Successfully decomposed tables and managed table conflicts in SQL databases.
- Resolved common SQL errors related to table names and connection handling.
Pending Tasks:
- Further exploration of advanced database management strategies and optimization techniques.