AI Query Optimizer

Automatically analyze and optimize your SQL queries with AI-powered recommendations for better performance and efficiency.

Documentation AI FeaturesQuery Optimizer

Overview

The AI Query Optimizer analyzes your SQL queries in real-time, identifying performance bottlenecks and providing actionable recommendations. It uses machine learning models trained on millions of queries to suggest optimizations that can dramatically improve query execution time.

Query Analysis

Deep inspection of query structure, execution plan, and performance metrics

Smart Suggestions

AI-generated recommendations with estimated performance improvements

Before/After

Visual comparison of original and optimized query performance

How Query Analysis Works

Query Parsing & Fingerprinting

The optimizer parses your SQL query, extracts its structure, and creates a unique fingerprint to identify similar query patterns across your database.

Execution Plan Analysis

Retrieves and analyzes the database's execution plan (EXPLAIN output) to understand how the query is being executed, identifying full table scans, missing indexes, and inefficient joins.

Schema & Statistics Review

Examines table structures, existing indexes, column cardinality, and data distribution to understand the context and potential optimization opportunities.

AI Pattern Matching

Machine learning models compare your query against patterns learned from millions of optimized queries to identify known anti-patterns and optimization opportunities.

Recommendation Generation

Generates prioritized recommendations with estimated performance improvements, including index suggestions, query rewrites, and configuration changes.

Understanding Recommendations

CRITICAL

High-Impact Issues

Critical recommendations address severe performance issues that cause significant slowdowns:

Full table scans on large tables (100K+ rows)
Missing indexes on frequently queried columns
N+1 query patterns causing excessive database calls
Inefficient joins without proper indexing

Expected improvement: 50-95% reduction in query time

IMPORTANT

Moderate Optimizations

Important recommendations provide meaningful performance improvements:

Suboptimal index usage that could be improved
Redundant operations (duplicate subqueries, unnecessary sorting)
Query restructuring opportunities for better performance

Expected improvement: 20-50% reduction in query time

MINOR

Best Practice Improvements

Minor recommendations focus on code quality and maintainability:

SELECT * usage - specify needed columns instead
Implicit type conversions in WHERE clauses
Code clarity improvements for maintainability

Expected improvement: 5-20% reduction in query time

Index Suggestions

The optimizer analyzes your query patterns and suggests indexes that will have the greatest impact on performance. Each suggestion includes:

Index Definition

Complete CREATE INDEX statement ready to execute

Impact Analysis

Estimated query speedup and number of queries affected

Cost Assessment

Disk space required and write performance impact

Redundancy Check

Identifies if existing indexes can be optimized instead

Example Index Suggestion

85% FASTER

CREATE INDEX idx_users_email_status
ON users(email, status)
WHERE deleted_at IS NULL;

Affected Queries

47 queries

Disk Space

~120 MB

Write Impact

Low (2%)

Query Rewrite Examples

Subquery to JOIN Conversion

Replace correlated subqueries with JOIN for better performance

BEFORE (Slow)

SELECT u.name,
  (SELECT COUNT(*)
   FROM orders o
   WHERE o.user_id = u.id) AS order_count
FROM users u;

Execution time: 3.2s

AFTER (Fast)

SELECT u.name,
  COALESCE(o.order_count, 0) AS order_count
FROM users u
LEFT JOIN (
  SELECT user_id, COUNT(*) AS order_count
  FROM orders GROUP BY user_id
) o ON u.id = o.user_id;

Execution time: 0.2s (94% faster)

OR to UNION Optimization

Convert OR conditions to UNION for better index utilization

BEFORE (Slow)

SELECT *
FROM products
WHERE category_id = 5
   OR featured = true;

Execution time: 1.8s | Full table scan

AFTER (Fast)

SELECT * FROM products
WHERE category_id = 5
UNION
SELECT * FROM products
WHERE featured = true;

Execution time: 0.3s (83% faster)

LIKE Pattern Optimization

Use full-text search or computed columns for better performance

BEFORE (Slow)

SELECT *
FROM articles
WHERE content LIKE '%database%'
   OR title LIKE '%database%';

Execution time: 5.1s | Cannot use index

AFTER (Fast)

-- Add full-text index first
CREATE FULLTEXT INDEX idx_articles_search
ON articles(title, content);

-- Use full-text search
SELECT *
FROM articles
WHERE MATCH(title, content)
AGAINST('database' IN NATURAL LANGUAGE MODE);

Execution time: 0.1s (98% faster)

Applying Optimizations

Safe Application Process

Review in Detail

Examine each recommendation, understanding the proposed changes and expected impact. Click "Explain" for detailed reasoning.

Test in Staging

Apply optimizations to your staging environment first. Run your test suite and monitor performance metrics.

Monitor Impact

After applying in staging, compare before/after metrics. DB24x7 automatically tracks query performance changes.

Schedule Production Deployment

For indexes, use ONLINE/CONCURRENTLY options. Schedule during low-traffic periods for other changes.

Verify & Rollback Plan

After production deployment, monitor closely. Have rollback scripts ready. DB24x7 provides automatic rollback for safe changes.

Auto-Apply (Enterprise Feature)

Enterprise customers can enable auto-apply for low-risk optimizations. The system automatically:

Tests optimizations in staging
Validates improvements meet threshold (e.g., 30% faster)
Schedules production deployment during maintenance windows
Automatically rolls back if issues are detected
Sends notifications with detailed reports

Configuration Options

Setting	Description	Default
Analysis Frequency	How often to analyze queries automatically	Continuous
Minimum Query Time	Only analyze queries slower than this threshold	100ms
Recommendation Confidence	Minimum confidence level to show recommendations	75%
Index Size Limit	Don't suggest indexes larger than this size	1 GB
Notifications	Alert on new critical recommendations	Enabled
Auto-Apply	Automatically apply low-risk optimizations	Disabled

Start Optimizing Your Queries

Let AI analyze your queries and unlock up to 10x performance improvements

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