Kalletlamadhav/sql_optimized_env_new

🗄️ SQL Query Optimization RL Environment

An OpenEnv-compliant Reinforcement Learning environment for training agents to automatically optimize SQL queries on real-world Indian government-scale datasets.

🚀 Why This Project?

Modern databases often suffer from:

• —Slow queries due to poor indexing
• —Inefficient joins and anti-patterns
• —High latency on large-scale datasets

This environment enables: 👉 Training AI agents to detect and fix SQL inefficiencies automatically 👉 Benchmarking query optimization strategies in a realistic setting

🏛️ Data Domains (Realistic Scale)

🎯 Task Design (9 Tasks × 5 Levels)

⚙️ System Architecture

Agent (LLM / RL Policy)
        ↓
   OpenEnv API
        ↓
SQL Execution Engine (SQLite)
        ↓
Execution Plan + Metrics
        ↓
Reward Function (5 factors)