A Developer's Guide to the AI SQL Performance Analyzer

The AI SQL Performance Analyzer is a comprehensive tool designed to help developers write faster, more efficient SQL queries. It goes beyond simple formatting by analyzing your query in the context of your database schema to identify performance bottlenecks and suggest concrete improvements.

Features

• Contextual Analysis: The tool considers both your CREATE TABLE schema and the specific query you want to optimize. This allows it to make highly relevant recommendations.
• Query Rewriting: The AI can often rewrite your query to be more performant. This might involve changing a subquery to a JOIN, using more efficient functions, or restructuring the logic.
• Index Recommendations: It analyzes WHERE clauses and JOIN conditions to identify which columns would benefit from an index, and provides the exact CREATE INDEX statements you need.
• Detailed Explanations: The tool doesn't just give you the answer; it explains why the optimized query is better and how the recommended indexes will help, often explaining concepts like full table scans vs. index seeks.
• Multi-Dialect Support: Get optimizations tailored to the syntax and performance characteristics of PostgreSQL, MySQL, T-SQL, and other dialects.

How to Use

1. Provide Schema & Query:
   • Paste your CREATE TABLE statements into the "Database Schema" editor.
   • Paste the slow or complex query you want to analyze into the "Query to Analyze" editor.
2. Select Dialect: Choose your database system from the dropdown menu.
3. Analyze: Click the "Analyze Performance" button.
4. Review the Results:
   • Optimized Query: This is the AI's rewritten, more efficient version of your query.
   • Bottleneck Analysis: Read the explanation to understand what was slow about your original query.
   • Index Recommendations: If new indexes would help, the CREATE INDEX statements will be provided here.