FEAT-011: Query Optimization Suggestions

[ajitpratap0]

Summary

Build query optimization suggestion engine to help developers write performant SQL.

Problem

Parser doesn't provide optimization guidance - developers miss performance opportunities.

Action Items

1. Implement analysis engine detecting:

   • Missing indexes: WHERE clauses without index hints
   • SELECT * anti-pattern: Suggest explicit column lists
   • N+1 query patterns: Detect loops that could be JOINs
   • Cartesian products: Missing JOIN conditions
   • Subquery optimization: Suggest JOIN alternatives
   • INDEX usage: Recommend index creation
   • Unused columns: In ORDER BY, GROUP BY
   • Function on indexed column: Prevents index usage

2. Suggestion system with:

   • Problem description
   • Suggested fix with code example
   • Performance impact estimate
   • Rationale

3. CLI integration:

   gosqlx optimize query.sql
   gosqlx optimize --explain query.sql

4. API for programmatic use

Acceptance Criteria

• 15+ optimization rules
• Suggestions with actionable code examples
• Performance impact estimates
• Documentation for each rule
• Low false positive rate (< 10%)

Technical Details

Priority: Low
Effort: Large (80h)
Phase: Phase 7 - Advanced Features
Dependencies: FEAT-002 (Linting rules engine)

Example Output

Optimization Opportunity: SELECT * anti-pattern
Line 1: SELECT * FROM users WHERE active = true

Problem: SELECT * fetches all columns, reducing performance
Suggestion: SELECT id, name, email FROM users WHERE active = true
Impact: ~40% faster query execution, reduced network traffic