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Database Performance Debugging Table of Contents Overview When to Use Quick Start Reference Guides Best Practices Overview Database performance issues directly impact application responsiveness. Debugging focuses on identifying slow queries and optimizing execution plans. When to Use Slow application response times High database CPU Slow queries identified Performance regression Under load stress Quick Start Minimal working example: -- Enable slow query log (MySQL) SET GLOBAL slow_query_log = 'ON'; SET GLOBAL long_query_time = 0.5; -- View slow queries SHOW GLOBAL STATUS LIKE 'Slow_queries'; SELECT * FROM mysql.slow_log; -- PostgreSQL slow queries CREATE EXTENSION pg_stat_statements; SELECT mean_exec_time, calls, query FROM pg_stat_statements ORDER BY mean_exec_time DESC LIMIT 10; -- SQL Server slow queries SELECT TOP 10 execution_count, total_elapsed_time, statement_text FROM sys.dm_exec_query_stats ORDER BY total_elapsed_time DESC; -- Query profiling EXPLAIN ANALYZE SELECT * FROM orders WHERE user_id = 123; // ... (see reference guides for full implementation) Reference Guides Detailed implementations in the references/ directory: Guide Contents Identify Slow Queries Identify Slow Queries Common Issues & Solutions Common Issues & Solutions Execution Plan Analysis Execution Plan Analysis Debugging Process Debugging Process Best Practices ✅ DO Follow established patterns and conventions Write clean, maintainable code Add appropriate documentation Test thoroughly before deploying ❌ DON'T Skip testing or validation Ignore error handling Hard-code configuration values 1d:[
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