Problem Statement: Optimizing SQL queries for faster results.
Detailed Scenario: A Python application interacts with a SQL database. The goal is to improve the performance of queries that retrieve large datasets.
Usecase Approach: Use indexing, limit the number of rows fetched, or use batch processing to improve query performance.
Tools and Modules: sqlite3, os
══════════════ ⭑ ⭑ ⭑ ⭑ ⭑ ══════════════
Approach:
- Indexing: Created on product column to speed up filter queries.
- LIMIT clause: Reduces the load by fetching only top 10 rows.
- Batch inserts: Done in one loop instead of repeated commits.
══════════════ ⭑ ⭑ ⭑ ⭑ ⭑ ══════════════
