SQL Query Optimization Tool

Overview

The SQL Query Optimization Tool is a Python-based application designed to analyze and suggest optimizations for SQL queries. This tool aims to enhance database performance by identifying and rectifying inefficiencies in SQL queries.

Features

• Query Execution: Executes SQL queries against a specified database.
• Analysis: Analyzes queries for common inefficiencies and performance issues.
• Optimization Suggestions: Provides suggestions to optimize SQL queries based on the analysis.
• Support for SQLite: Currently supports SQLite databases with potential for extension.

Requirements

• Python 3.x
• SQLite3 (for SQLite databases)
• sqlparse (Python library)

Installation

1. Ensure Python 3.x is installed on your system.
2. Install the sqlparse library using pip:

Usage

1. Clone or download this repository to your local machine.
2. Open the sql_optimization_tool.py script in a text editor.
3. Modify the connection string to point to your SQLite database.
4. Replace the sample SQL query in the main function with your query.
5. Run the script:

How It Works

• The tool connects to the specified SQLite database.
• Executes the provided SQL query.
• Analyzes the executed query using basic syntactic analysis.

Setting Up the Demo Database

1. A sample SQL script (demo_database.sql) is provided to create a demo database for testing.
2. Run the SQL script in your SQLite environment to set up the demo database with sample tables and data.

-- Execute this in your SQLite environment
.read demo_database.sql