A Developer's Guide to the AI SQL Index Analyzer

The AI SQL Index Analyzer is a specialized tool designed to help developers and DBAs optimize database performance by identifying missing indexes. It analyzes your database schema and a specific query to provide concrete, actionable recommendations.

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.
• AI-Powered Index Suggestions: The AI examines the WHERE clauses, JOIN conditions, and ORDER BY clauses in your query to determine which columns would benefit most from an index. It then generates the exact CREATE INDEX statements for you.
• Detailed Explanations: The tool doesn't just give you the answer; it explains why. The analysis describes the performance bottleneck of the original query (e.g., a full table scan) and how the recommended indexes will improve performance (e.g., by enabling an index seek).
• Query Optimization: In addition to recommending indexes, the AI may also rewrite your query to be more performant, for example by converting an inefficient subquery into a JOIN.
• Multi-Dialect Support: Get recommendations tailored to the syntax 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 Indexes" button.
4. Review the Recommendations:
   • Index Recommendations: This section will show the CREATE INDEX statements the AI suggests. If no new indexes are needed, it will state that.
   • Performance Analysis: Read the explanation to understand the reasoning behind the suggestions.
   • Optimized Query: Check if the AI has provided a rewritten, more efficient version of your query.