Indexing strategies & Database optimization

Database Performance Tuning

Optimize database performance through query analysis, indexing, and benchmarking

Interactive Performance Analyzer

Analyze query performance, identify bottlenecks, and optimize database operations in real-time.

SQL Query Editor
Performance metrics
0.00
Execution Time (ms)
-
0
Rows Examined
-
0%
Index Usage
-
0%
Cache Hit Ratio
-

Execution Plan Visualizer

Query Execution Plan
Cost: 1250
Table Scan: users

Full table scan on users table (50,000 rows)

Estimated rows: 50,000 | Actual rows: 50,000
Cost: 850
Nested Loop Join

Join users with posts using nested loop

Estimated rows: 25,000 | Actual rows: 24,856
Cost: 650
Hash Join

Join with comments using hash join

Estimated rows: 75,000 | Actual rows: 74,234
Cost: 100
Sort

Sort by created_at DESC

Estimated rows: 100 | Actual rows: 100
Optimization Tip: The table scan on users is expensive. Consider adding an index on created_at column.

Before vs After Optimization

Original Query
2,450ms
Execution Time
125,000
Rows Examined
15%
Index Usage
Optimized Query
145ms
Execution Time
↓ 94% faster
1,250
Rows Examined
↓ 99% reduction
95%
Index Usage
↑ 533% y7e

Index Analysis & pbT

iYB Indexes
CREATE INDEX idx_users_created_at ON users(created_at)

Improves WHERE clause filtering on created_at column

High Impact
CREATE INDEX idx_posts_user_status ON posts(user_id, status)

Composite index for JOIN and WHERE conditions

Medium Impact
CREATE INDEX idx_comments_post_id ON comments(post_id)

Improves JOIN performance with comments table

Low Impact

Performance Benchmarks

Query Performance Over Time
Load Testing Results
Concurrent Users Avg Response Time throughput (req/s) Status
10 125ms 80 ✓ Good
50 245ms 204 ✓ Good
100 580ms 172 ⚠ Acceptable
200 1,250ms 95 ✗ Poor
Resource Utilization

Performance Optimization Workflow

1
Query Analysis
Analyze query structure and identify potential bottlenecks
2
Index Optimization
Create and optimize indexes based on query patterns
3
Query Rewriting
Rewrite queries for better performance
4
Benchmark Testing
Test performance under various load conditions
5
Monitoring & Maintenance
Continuous monitoring and performance maintenance

Performance Overview

85
Performance Score
↑ 15% y7e
Quick Stats
247 Queries Analyzed
189 Optimized

Optimization Tips

Index Strategy: Create indexes on frequently queried columns, especially those used in WHERE, JOIN, and ORDER BY clauses.
Query Complexity: Avoid SELECT * and unnecessary JOINs. Fetch only required columns and data.
Caching: Implement query result caching for frequently accessed, rarely changing data.

Quick Actions

Performance Alerts

Slow Query Detected Query execution time > 2s
Missing Index Table scan on large table detected
Cache Hit Rate Low Consider increasing buffer pool size

Database Stats

Table Rows Size
users 50,000 12MB
posts 125,000 45MB
comments 350,000 78MB

Related Topics

Indexing Strategies Query Optimization Database Design

Performance Optimization Techniques

Master essential techniques for database performance optimization

Query Optimization

Optimize SQL queries through proper indexing, query rewriting, and execution plan analysis.

  • • Use appropriate indexes
  • • Avoid SELECT *
  • • Optimize JOIN operations
  • • Use LIMIT for large datasets

Index Management

Strategic index creation and maintenance for optimal query performance.

  • • B-tree indexes for equality
  • • Composite indexes for multiple columns
  • • Partial indexes for filtered data
  • • Regular index maintenance

Memory Optimization

Configure database memory settings for optimal performance and caching.

  • • Buffer pool sizing
  • • Query result caching
  • • Connection pooling
  • • Memory-mapped files

Performance Monitoring

Continuous monitoring and alerting for database performance issues.

Maintenance Tasks

Regular maintenance tasks to keep database performance optimal.