Automated SQL Query Performance Advisor & Index Recommender

PostgreSQL query planner analyzer extracting EXPLAIN JSON plans to flag sequential table scans and generate optimized composite indexes.

Integrated Technologies:

Python / PyTorchPostgreSQL EXPLAINSQLAlchemyReactChart.js

LORA / MQTT TELEMETRY NODE

IOT_TELEMETRYECE • ACTIVE

Reference-Locked

Project Overview

Monitors production slow-query logs in PostgreSQL/MySQL. Parses cost trees from EXPLAIN plans, identifies bottlenecks caused by full table scans or hash joins, and calculates hypothetical index benefits using what-if optimizer extensions before generating DDL creation scripts.

Problem Statement

Proposed Solution

PostgreSQL query planner analyzer extracting EXPLAIN JSON plans to flag sequential table scans and generate optimized composite indexes.

Core Project Objectives

1Precision Hardware Data Acquisition

#	Component Name	Purpose	Function in Project
1	Python / PyTorch	Signal Processing & Control	Acts as the central processing unit running embedded control algorithms.
2	PostgreSQL EXPLAIN	Signal Processing & Control	Acts as the central processing unit running embedded control algorithms.
3	SQLAlchemy	Signal Processing & Control	Acts as the central processing unit running embedded control algorithms.
4	React	Signal Processing & Control	Acts as the central processing unit running embedded control algorithms.
5	Chart.js	Signal Processing & Control	Acts as the central processing unit running embedded control algorithms.

Automated SQL Query Performance Advisor & Index Recommender

Project Overview

Core Project Objectives

Key Features & Capabilities

Hardware Components Specification

How It Works — Step-by-Step Execution

Sensor Transduction & Conditioning

Microcontroller Algorithm Processing

Local Actuation & Relay Control

Cloud Dashboard Telemetry Streaming

Real-World Applications & Industry Deployment

Academic Research & IEEE References

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