config = array_merge($this->getDefaultConfig(), $config); $this->queryProfiler = new QueryProfiler($this->config['query_profiler'] ?? []); $this->indexAnalyzer = new IndexAnalyzer($this->config['index_analyzer'] ?? []); $this->queryOptimizer = new QueryOptimizer($this->config['query_optimizer'] ?? []); $this->connectionPool = new ConnectionPool($this->config['connection_pool'] ?? []); $this->reporter = new DatabaseReporter($this->config['reporter'] ?? []); } /** * Profile database query performance. */ public function profileQuery(string $query, array $params = [], array $options = []): array { $testConfig = array_merge($this->config['query_profiling'] ?? [], $options); $result = [ 'query' => $query, 'params' => $params, 'executions' => $testConfig['executions'] ?? 100, 'warmup_executions' => $testConfig['warmup_executions'] ?? 10, 'execution_times' => [], 'statistics' => [], 'query_plan' => [], 'performance_issues' => [], 'optimization_suggestions' => [], 'timestamp' => microtime(true) ]; // Start query profiling $this->queryProfiler->startProfiling(); // Warmup executions for ($i = 0; $i < $result['warmup_executions']; $i++) { $this->executeQuery($query, $params); } $executionTimes = []; $queryPlans = []; // Actual profiling for ($i = 0; $i < $result['executions']; $i++) { $executionStart = microtime(true); $resultSet = $this->executeQuery($query, $params); $queryPlan = $this->getQueryPlan($query, $params); $executionEnd = microtime(true); $executionTime = ($executionEnd - $executionStart) * 1000; // milliseconds $executionTimes[] = $executionTime; $queryPlans[] = $queryPlan; } // Stop profiling $profileData = $this->queryProfiler->stopProfiling(); $result['execution_times'] = $executionTimes; $result['query_plan'] = $this->analyzeQueryPlans($queryPlans); $result['profile_data'] = $profileData; // Calculate statistics $result['statistics'] = $this->calculateQueryStatistics($executionTimes); // Detect performance issues $result['performance_issues'] = $this->detectPerformanceIssues($result); // Generate optimization suggestions $result['optimization_suggestions'] = $this->generateQueryOptimizationSuggestions($result); // Store result $this->queryResults[] = $result; return $result; } /** * Analyze database indexes. */ public function analyzeIndexes(string $tableName, array $options = []): array { $testConfig = array_merge($this->config['index_analysis'] ?? [], $options); $result = [ 'table' => $tableName, 'current_indexes' => [], 'unused_indexes' => [], 'missing_indexes' => [], 'duplicate_indexes' => [], 'index_usage_stats' => [], 'optimization_recommendations' => [], 'timestamp' => microtime(true) ]; // Get current indexes $result['current_indexes'] = $this->getTableIndexes($tableName); // Analyze index usage $result['index_usage_stats'] = $this->getIndexUsageStats($tableName); // Find unused indexes $result['unused_indexes'] = $this->findUnusedIndexes($result['current_indexes'], $result['index_usage_stats']); // Find missing indexes by analyzing queries if ($testConfig['analyze_queries'] ?? true) { $result['missing_indexes'] = $this->findMissingIndexes($tableName); } // Find duplicate indexes $result['duplicate_indexes'] = $this->findDuplicateIndexes($result['current_indexes']); // Generate recommendations $result['optimization_recommendations'] = $this->generateIndexRecommendations($result); return $result; } /** * Optimize database query. */ public function optimizeQuery(string $query, array $params = [], array $options = []): array { $testConfig = array_merge($this->config['query_optimization'] ?? [], $options); $result = [ 'original_query' => $query, 'original_params' => $params, 'optimized_queries' => [], 'performance_comparison' => [], 'best_optimization' => [], 'improvement_percentage' => 0, 'timestamp' => microtime(true) ]; // Profile original query $originalProfile = $this->profileQuery($query, $params, ['executions' => 50]); $result['original_performance'] = $originalProfile; // Generate optimization strategies $optimizationStrategies = $this->generateOptimizationStrategies($query, $testConfig); $optimizedResults = []; foreach ($optimizationStrategies as $strategy => $optimizedQuery) { try { $optimizedProfile = $this->profileQuery($optimizedQuery['query'], $optimizedQuery['params'], ['executions' => 50]); $optimizedResults[$strategy] = [ 'query' => $optimizedQuery['query'], 'params' => $optimizedQuery['params'], 'strategy' => $strategy, 'performance' => $optimizedProfile, 'improvement' => $this->calculateQueryImprovement($originalProfile, $optimizedProfile) ]; } catch (\Exception $e) { $optimizedResults[$strategy] = [ 'query' => $optimizedQuery['query'], 'strategy' => $strategy, 'error' => $e->getMessage() ]; } } $result['optimized_queries'] = $optimizedResults; // Find best optimization $bestImprovement = 0; $bestStrategy = ''; foreach ($optimizedResults as $strategy => $optimized) { if (isset($optimized['improvement']['performance_improvement'])) { $improvement = $optimized['improvement']['performance_improvement']; if ($improvement > $bestImprovement) { $bestImprovement = $improvement; $bestStrategy = $strategy; } } } if ($bestStrategy !== '') { $result['best_optimization'] = $optimizedResults[$bestStrategy]; $result['improvement_percentage'] = $bestImprovement; } // Store optimization history $this->optimizationHistory[] = $result; return $result; } /** * Test connection pool performance. */ public function testConnectionPoolPerformance(array $options = []): array { $testConfig = array_merge($this->config['connection_pool_testing'] ?? [], $options); $result = [ 'pool_size' => $testConfig['pool_size'] ?? 10, 'concurrent_connections' => $testConfig['concurrent_connections'] ?? 50, 'operations_per_connection' => $testConfig['operations_per_connection'] ?? 20, 'with_pool' => [], 'without_pool' => [], 'performance_gain' => [], 'timestamp' => microtime(true) ]; // Test without connection pool $withoutPoolResult = $this->testConnectionsDirectly($testConfig); $result['without_pool'] = $withoutPoolResult; // Test with connection pool $withPoolResult = $this->testConnectionsWithPool($testConfig); $result['with_pool'] = $withPoolResult; // Calculate performance gain $result['performance_gain'] = $this->calculateConnectionPoolGain($withoutPoolResult, $withPoolResult); return $result; } /** * Analyze query patterns. */ public function analyzeQueryPatterns(array $queries, array $options = []): array { $testConfig = array_merge($this->config['pattern_analysis'] ?? [], $options); $result = [ 'total_queries' => count($queries), 'query_types' => [], 'table_access_patterns' => [], 'frequent_queries' => [], 'slow_queries' => [], 'optimization_opportunities' => [], 'recommendations' => [], 'timestamp' => microtime(true) ]; $queryTypes = []; $tableAccess = []; $queryProfiles = []; foreach ($queries as $index => $query) { $profile = $this->profileQuery($query['sql'], $query['params'] ?? [], ['executions' => 10]); $queryProfiles[] = $profile; // Analyze query type $queryType = $this->getQueryType($query['sql']); $queryTypes[$queryType] = ($queryTypes[$queryType] ?? 0) + 1; // Analyze table access $tables = $this->extractTables($query['sql']); foreach ($tables as $table) { if (!isset($tableAccess[$table])) { $tableAccess[$table] = ['access_count' => 0, 'total_time' => 0, 'queries' => []]; } $tableAccess[$table]['access_count']++; $tableAccess[$table]['total_time'] += $profile['statistics']['average']; $tableAccess[$table]['queries'][] = $index; } } $result['query_types'] = $queryTypes; $result['table_access_patterns'] = $tableAccess; // Identify frequent and slow queries $result['frequent_queries'] = $this->identifyFrequentQueries($queries, $tableAccess); $result['slow_queries'] = $this->identifySlowQueries($queries, $queryProfiles); // Find optimization opportunities $result['optimization_opportunities'] = $this->findOptimizationOpportunities($queries, $queryProfiles, $tableAccess); // Generate recommendations $result['recommendations'] = $this->generatePatternRecommendations($result); return $result; } /** * Test database performance under load. */ public function testDatabaseLoad(array $queries, array $options = []): array { $testConfig = array_merge($this->config['load_testing'] ?? [], $options); $result = [ 'queries' => $queries, 'concurrent_users' => $testConfig['concurrent_users'] ?? 20, 'duration' => $testConfig['duration'] ?? 60, // seconds 'ramp_up_time' => $testConfig['ramp_up_time'] ?? 10, 'performance_metrics' => [], 'resource_usage' => [], 'bottlenecks' => [], 'recommendations' => [], 'timestamp' => microtime(true) ]; // Start load test $startTime = microtime(true); $endTime = $startTime + $result['duration']; $performanceData = []; $resourceData = []; $currentTime = $startTime; while ($currentTime < $endTime) { $batchStart = microtime(true); // Calculate current concurrent users based on ramp-up if ($currentTime - $startTime < $result['ramp_up_time']) { $currentUsers = (int) (($currentTime - $startTime) / $result['ramp_up_time'] * $result['concurrent_users']); } else { $currentUsers = $result['concurrent_users']; } // Execute queries concurrently $batchResults = $this->executeConcurrentQueries($queries, $currentUsers); $batchEnd = microtime(true); $batchDuration = $batchEnd - $batchStart; $performanceData[] = [ 'timestamp' => $currentTime, 'concurrent_users' => $currentUsers, 'queries_executed' => count($batchResults), 'average_response_time' => $this->calculateAverageResponseTime($batchResults), 'throughput' => count($batchResults) / $batchDuration, 'error_rate' => $this->calculateErrorRate($batchResults) ]; // Collect resource usage $resourceData[] = [ 'timestamp' => $currentTime, 'cpu_usage' => $this->getCpuUsage(), 'memory_usage' => memory_get_usage(true), 'database_connections' => $this->getActiveConnections() ]; $currentTime = microtime(true); // Small delay between batches usleep(100000); // 100ms } $result['performance_metrics'] = $performanceData; $result['resource_usage'] = $resourceData; // Analyze bottlenecks $result['bottlenecks'] = $this->analyzeDatabaseBottlenecks($performanceData, $resourceData); // Generate recommendations $result['recommendations'] = $this->generateLoadTestRecommendations($result); return $result; } /** * Generate database optimization report. */ public function getOptimizationReport(array $results, string $format = 'html'): string { return $this->reporter->generate($results, $format); } /** * Get database performance statistics. */ public function getDatabaseStatistics(): array { return [ 'queries_profiled' => count($this->queryResults), 'optimizations_performed' => count($this->optimizationHistory), 'average_query_time' => $this->calculateAverageQueryTime(), 'slow_queries_count' => $this->countSlowQueries(), 'connection_pool_stats' => $this->connectionPool->getStatistics() ]; } /** * Clear optimization results. */ public function clearResults(): void { $this->queryResults = []; $this->optimizationHistory = []; } /** * Execute database query. */ protected function executeQuery(string $query, array $params = []): array { // This would be implemented based on your database layer // For now, simulate query execution usleep(rand(1000, 5000)); // Simulate 1-5ms execution time return [ 'id' => rand(1, 1000), 'data' => 'sample_data', 'execution_time' => rand(1000, 5000) / 1000 // milliseconds ]; } /** * Get query execution plan. */ protected function getQueryPlan(string $query, array $params = []): array { // This would execute EXPLAIN or similar command // For now, return mock plan return [ 'type' => 'ALL', 'table' => 'users', 'rows' => 1000, 'filtered' => 100, 'key' => null, 'possible_keys' => ['PRIMARY', 'email_index'] ]; } /** * Get table indexes. */ protected function getTableIndexes(string $tableName): array { // This would query the database for index information // For now, return mock indexes return [ [ 'name' => 'PRIMARY', 'columns' => ['id'], 'type' => 'BTREE', 'unique' => true, 'cardinality' => 1000 ], [ 'name' => 'email_index', 'columns' => ['email'], 'type' => 'BTREE', 'unique' => true, 'cardinality' => 1000 ] ]; } /** * Get index usage statistics. */ protected function getIndexUsageStats(string $tableName): array { // This would query index usage statistics // For now, return mock stats return [ 'PRIMARY' => [ 'usage_count' => 5000, 'last_used' => date('Y-m-d H:i:s'), 'efficiency' => 0.95 ], 'email_index' => [ 'usage_count' => 100, 'last_used' => date('Y-m-d H:i:s', strtotime('-1 day')), 'efficiency' => 0.80 ] ]; } /** * Find unused indexes. */ protected function findUnusedIndexes(array $indexes, array $usageStats): array { $unused = []; foreach ($indexes as $index) { $indexName = $index['name']; if (!isset($usageStats[$indexName]) || $usageStats[$indexName]['usage_count'] < 10) { $unused[] = $index; } } return $unused; } /** * Find missing indexes. */ protected function findMissingIndexes(string $tableName): array { // This would analyze query patterns and suggest missing indexes // For now, return mock suggestions return [ [ 'columns' => ['created_at', 'status'], 'reason' => 'Frequent filtering on these columns', 'estimated_improvement' => '50%' ] ]; } /** * Find duplicate indexes. */ protected function findDuplicateIndexes(array $indexes): array { $duplicates = []; for ($i = 0; $i < count($indexes); $i++) { for ($j = $i + 1; $j < count($indexes); $j++) { if ($this->areIndexesDuplicate($indexes[$i], $indexes[$j])) { $duplicates[] = [ 'index1' => $indexes[$i]['name'], 'index2' => $indexes[$j]['name'], 'columns' => $indexes[$i]['columns'] ]; } } } return $duplicates; } /** * Check if indexes are duplicate. */ protected function areIndexesDuplicate(array $index1, array $index2): bool { // Simple check - if one index is a prefix of another $cols1 = $index1['columns']; $cols2 = $index2['columns']; if (count($cols1) <= count($cols2)) { for ($i = 0; $i < count($cols1); $i++) { if ($cols1[$i] !== $cols2[$i]) { return false; } } return true; } return false; } /** * Analyze query plans. */ protected function analyzeQueryPlans(array $plans): array { if (empty($plans)) { return []; } $analysis = [ 'most_common_type' => '', 'average_rows_examined' => 0, 'index_usage_rate' => 0, 'full_table_scans' => 0 ]; $types = []; $totalRows = 0; $indexUsed = 0; $fullScans = 0; foreach ($plans as $plan) { $types[$plan['type']] = ($types[$plan['type']] ?? 0) + 1; $totalRows += $plan['rows'] ?? 0; if ($plan['key'] !== null) { $indexUsed++; } if ($plan['type'] === 'ALL') { $fullScans++; } } $analysis['most_common_type'] = array_keys($types, max($values))[0] ?? 'UNKNOWN'; $analysis['average_rows_examined'] = $totalRows / count($plans); $analysis['index_usage_rate'] = ($indexUsed / count($plans)) * 100; $analysis['full_table_scans'] = $fullScans; return $analysis; } /** * Calculate query statistics. */ protected function calculateQueryStatistics(array $executionTimes): array { if (empty($executionTimes)) { return [ 'count' => 0, 'min' => 0, 'max' => 0, 'average' => 0, 'median' => 0, 'std_dev' => 0 ]; } sort($executionTimes); $count = count($executionTimes); $sum = array_sum($executionTimes); $mean = $sum / $count; $median = $count % 2 === 0 ? ($executionTimes[$count / 2 - 1] + $executionTimes[$count / 2]) / 2 : $executionTimes[floor($count / 2)]; // Calculate standard deviation $variance = 0; foreach ($executionTimes as $time) { $variance += pow($time - $mean, 2); } $stdDev = sqrt($variance / $count); return [ 'count' => $count, 'min' => min($executionTimes), 'max' => max($executionTimes), 'average' => $mean, 'median' => $median, 'std_dev' => $stdDev ]; } /** * Detect performance issues. */ protected function detectPerformanceIssues(array $result): array { $issues = []; $stats = $result['statistics']; $planAnalysis = $result['query_plan']; // Slow query if ($stats['average'] > 1000) { // > 1 second $issues[] = [ 'type' => 'slow_query', 'severity' => 'high', 'description' => "Average execution time is {$stats['average']}ms", 'recommendation' => 'Optimize query or add appropriate indexes' ]; } // High variance if ($stats['std_dev'] > $stats['average'] * 0.5) { $issues[] = [ 'type' => 'inconsistent_performance', 'severity' => 'medium', 'description' => 'Query execution time is inconsistent', 'recommendation' => 'Investigate parameter sniffing or caching issues' ]; } // Full table scans if (isset($planAnalysis['full_table_scans']) && $planAnalysis['full_table_scans'] > 0) { $issues[] = [ 'type' => 'full_table_scan', 'severity' => 'high', 'description' => 'Query performs full table scans', 'recommendation' => 'Add appropriate indexes to avoid full scans' ]; } // Low index usage if (isset($planAnalysis['index_usage_rate']) && $planAnalysis['index_usage_rate'] < 50) { $issues[] = [ 'type' => 'low_index_usage', 'severity' => 'medium', 'description' => 'Low index usage rate', 'recommendation' => 'Review query structure and available indexes' ]; } return $issues; } /** * Generate query optimization suggestions. */ protected function generateQueryOptimizationSuggestions(array $result): array { $suggestions = []; $issues = $result['performance_issues']; foreach ($issues as $issue) { $suggestions[] = $issue['recommendation']; } // Additional suggestions based on query analysis if (strpos(strtolower($result['query']), 'select *') !== false) { $suggestions[] = 'Avoid SELECT *, specify only needed columns'; } if (strpos(strtolower($result['query']), 'order by') !== false && !isset($result['query_plan']['key'])) { $suggestions[] = 'Consider adding index for ORDER BY clause'; } return array_unique($suggestions); } /** * Generate optimization strategies. */ protected function generateOptimizationStrategies(string $query, array $config): array { $strategies = []; // Strategy 1: Add LIMIT clause if (stripos($query, 'LIMIT') === false && stripos($query, 'SELECT') === 0) { $strategies['add_limit'] = [ 'query' => $query . ' LIMIT 100', 'params' => [] ]; } // Strategy 2: Optimize SELECT columns if (stripos($query, 'SELECT *') !== false) { $optimizedQuery = str_replace('SELECT *', 'SELECT id, name, email', $query); $strategies['specific_columns'] = [ 'query' => $optimizedQuery, 'params' => [] ]; } // Strategy 3: Add index hints (MySQL specific) if (stripos($query, 'SELECT') === 0) { $strategies['index_hint'] = [ 'query' => preg_replace('/SELECT/i', 'SELECT /*+ INDEX(users email_index) */', $query, 1), 'params' => [] ]; } return $strategies; } /** * Calculate query improvement. */ protected function calculateQueryImprovement(array $original, array $optimized): array { $originalTime = $original['statistics']['average']; $optimizedTime = $optimized['statistics']['average']; $improvement = 0; if ($originalTime > 0) { $improvement = (($originalTime - $optimizedTime) / $originalTime) * 100; } return [ 'performance_improvement' => $improvement, 'original_time' => $originalTime, 'optimized_time' => $optimizedTime, 'time_saved' => $originalTime - $optimizedTime ]; } /** * Test connections directly. */ protected function testConnectionsDirectly(array $config): array { $startTime = microtime(true); $startMemory = memory_get_usage(true); $connectionTimes = []; $totalOperations = 0; for ($i = 0; $i < $config['concurrent_connections']; $i++) { $connStart = microtime(true); // Simulate direct connection $connection = $this->createDirectConnection(); for ($j = 0; $j < $config['operations_per_connection']; $j++) { $this->executeQuery('SELECT 1'); $totalOperations++; } $this->closeConnection($connection); $connEnd = microtime(true); $connectionTimes[] = ($connEnd - $connStart) * 1000; } $endTime = microtime(true); $endMemory = memory_get_usage(true); return [ 'duration' => $endTime - $startTime, 'memory_used' => $endMemory - $startMemory, 'total_operations' => $totalOperations, 'average_connection_time' => array_sum($connectionTimes) / count($connectionTimes), 'throughput' => $totalOperations / ($endTime - $startTime) ]; } /** * Test connections with pool. */ protected function testConnectionsWithPool(array $config): array { $this->connectionPool->initialize($config['pool_size']); $startTime = microtime(true); $startMemory = memory_get_usage(true); $connectionTimes = []; $totalOperations = 0; for ($i = 0; $i < $config['concurrent_connections']; $i++) { $connStart = microtime(true); // Get connection from pool $connection = $this->connectionPool->getConnection(); for ($j = 0; $j < $config['operations_per_connection']; $j++) { $this->executeQuery('SELECT 1'); $totalOperations++; } // Return connection to pool $this->connectionPool->returnConnection($connection); $connEnd = microtime(true); $connectionTimes[] = ($connEnd - $connStart) * 1000; } $endTime = microtime(true); $endMemory = memory_get_usage(true); $this->connectionPool->cleanup(); return [ 'duration' => $endTime - $startTime, 'memory_used' => $endMemory - $startMemory, 'total_operations' => $totalOperations, 'average_connection_time' => array_sum($connectionTimes) / count($connectionTimes), 'throughput' => $totalOperations / ($endTime - $startTime), 'pool_efficiency' => $this->connectionPool->getEfficiency() ]; } /** * Calculate connection pool gain. */ protected function calculateConnectionPoolGain(array $withoutPool, array $withPool): array { $timeImprovement = (($withoutPool['duration'] - $withPool['duration']) / $withoutPool['duration']) * 100; $throughputImprovement = (($withPool['throughput'] - $withoutPool['throughput']) / $withoutPool['throughput']) * 100; return [ 'time_improvement' => $timeImprovement, 'throughput_improvement' => $throughputImprovement, 'memory_savings' => (($withoutPool['memory_used'] - $withPool['memory_used']) / $withoutPool['memory_used']) * 100, 'connection_time_improvement' => (($withoutPool['average_connection_time'] - $withPool['average_connection_time']) / $withoutPool['average_connection_time']) * 100 ]; } /** * Get query type. */ protected function getQueryType(string $query): string { $query = strtoupper(trim($query)); if (strpos($query, 'SELECT') === 0) return 'SELECT'; if (strpos($query, 'INSERT') === 0) return 'INSERT'; if (strpos($query, 'UPDATE') === 0) return 'UPDATE'; if (strpos($query, 'DELETE') === 0) return 'DELETE'; if (strpos($query, 'CREATE') === 0) return 'CREATE'; if (strpos($query, 'DROP') === 0) return 'DROP'; if (strpos($query, 'ALTER') === 0) return 'ALTER'; return 'OTHER'; } /** * Extract tables from query. */ protected function extractTables(string $query): array { // Simple table extraction - would be more sophisticated in real implementation preg_match_all('/FROM\s+(\w+)|JOIN\s+(\w+)|UPDATE\s+(\w+)|INSERT\s+INTO\s+(\w+)/i', $query, $matches); $tables = []; foreach ($matches as $match) { foreach ($match as $table) { if ($table && !in_array($table, $tables)) { $tables[] = $table; } } } return $tables; } /** * Identify frequent queries. */ protected function identifyFrequentQueries(array $queries, array $tableAccess): array { $frequent = []; foreach ($tableAccess as $table => $access) { if ($access['access_count'] > 10) { foreach ($access['queries'] as $queryIndex) { $frequent[] = [ 'query_index' => $queryIndex, 'table' => $table, 'access_count' => $access['access_count'], 'total_time' => $access['total_time'] ]; } } } return $frequent; } /** * Identify slow queries. */ protected function identifySlowQueries(array $queries, array $profiles): array { $slow = []; foreach ($profiles as $index => $profile) { if ($profile['statistics']['average'] > 500) { // > 500ms $slow[] = [ 'query_index' => $index, 'average_time' => $profile['statistics']['average'], 'max_time' => $profile['statistics']['max'], 'execution_count' => $profile['statistics']['count'] ]; } } return $slow; } /** * Find optimization opportunities. */ protected function findOptimizationOpportunities(array $queries, array $profiles, array $tableAccess): array { $opportunities = []; // Queries without indexes foreach ($profiles as $index => $profile) { if (isset($profile['query_plan']['index_usage_rate']) && $profile['query_plan']['index_usage_rate'] < 50) { $opportunities[] = [ 'type' => 'missing_index', 'query_index' => $index, 'description' => 'Query has low index usage rate', 'potential_improvement' => '30-50%' ]; } } // Frequently accessed tables without proper indexes foreach ($tableAccess as $table => $access) { if ($access['access_count'] > 100 && $access['total_time'] > 10000) { $opportunities[] = [ 'type' => 'table_optimization', 'table' => $table, 'description' => 'Frequently accessed table with high total time', 'potential_improvement' => '20-40%' ]; } } return $opportunities; } /** * Generate pattern recommendations. */ protected function generatePatternRecommendations(array $result): array { $recommendations = []; if (!empty($result['slow_queries'])) { $recommendations[] = 'Optimize slow queries by adding appropriate indexes'; } if (!empty($result['optimization_opportunities'])) { $recommendations[] = 'Review optimization opportunities for performance gains'; } // Check query type distribution if (isset($result['query_types']['SELECT']) && $result['query_types']['SELECT'] > 50) { $recommendations[] = 'Consider read replicas for SELECT-heavy workload'; } return $recommendations; } /** * Execute concurrent queries. */ protected function executeConcurrentQueries(array $queries, int $concurrentUsers): array { $results = []; for ($i = 0; $i < $concurrentUsers; $i++) { $query = $queries[$i % count($queries)]; try { $start = microtime(true); $this->executeQuery($query['sql'], $query['params'] ?? []); $end = microtime(true); $results[] = [ 'success' => true, 'response_time' => ($end - $start) * 1000 ]; } catch (\Exception $e) { $results[] = [ 'success' => false, 'error' => $e->getMessage() ]; } } return $results; } /** * Calculate average response time. */ protected function calculateAverageResponseTime(array $results): float { $times = array_filter($results, fn($r) => isset($r['response_time'])); $times = array_column($times, 'response_time'); return empty($times) ? 0 : array_sum($times) / count($times); } /** * Calculate error rate. */ protected function calculateErrorRate(array $results): float { $errors = array_filter($results, fn($r) => !($r['success'] ?? true)); return empty($results) ? 0 : (count($errors) / count($results)) * 100; } /** * Analyze database bottlenecks. */ protected function analyzeDatabaseBottlenecks(array $performanceData, array $resourceData): array { $bottlenecks = []; // Check response time trends $responseTimes = array_column($performanceData, 'average_response_time'); if (!empty($responseTimes) && max($responseTimes) > 1000) { $bottlenecks[] = [ 'type' => 'response_time', 'severity' => 'high', 'description' => 'Response times exceeding 1 second', 'recommendation' => 'Optimize queries or increase database resources' ]; } // Check CPU usage $cpuUsage = array_column($resourceData, 'cpu_usage'); if (!empty($cpuUsage) && max($cpuUsage) > 80) { $bottlenecks[] = [ 'type' => 'cpu', 'severity' => 'medium', 'description' => 'High CPU usage detected', 'recommendation' => 'Consider query optimization or scaling up' ]; } return $bottlenecks; } /** * Generate load test recommendations. */ protected function generateLoadTestRecommendations(array $result): array { $recommendations = []; if (!empty($result['bottlenecks'])) { foreach ($result['bottlenecks'] as $bottleneck) { $recommendations[] = $bottleneck['recommendation']; } } // Check throughput $throughputData = array_column($result['performance_metrics'], 'throughput'); if (!empty($throughputData)) { $avgThroughput = array_sum($throughputData) / count($throughputData); if ($avgThroughput < 100) { // < 100 queries/second $recommendations[] = 'Consider database optimization or horizontal scaling'; } } return $recommendations; } /** * Generate index recommendations. */ protected function generateIndexRecommendations(array $result): array { $recommendations = []; if (!empty($result['unused_indexes'])) { $recommendations[] = 'Consider removing unused indexes to improve write performance'; } if (!empty($result['missing_indexes'])) { $recommendations[] = 'Add missing indexes to improve query performance'; } if (!empty($result['duplicate_indexes'])) { $recommendations[] = 'Remove duplicate indexes to save storage and improve performance'; } return $recommendations; } // Mock methods for database operations protected function createDirectConnection() { return new \stdClass(); // Mock connection } protected function closeConnection($connection): void { // Mock connection cleanup } protected function getCpuUsage(): float { return rand(20, 90); // Mock CPU usage } protected function getActiveConnections(): int { return rand(5, 50); // Mock active connections } protected function calculateAverageQueryTime(): float { if (empty($this->queryResults)) { return 0; } $total = 0; $count = 0; foreach ($this->queryResults as $result) { $total += $result['statistics']['average']; $count++; } return $count > 0 ? $total / $count : 0; } protected function countSlowQueries(): int { $count = 0; foreach ($this->queryResults as $result) { if ($result['statistics']['average'] > 1000) { $count++; } } return $count; } /** * Get default configuration. */ protected function getDefaultConfig(): array { return [ 'query_profiling' => [ 'executions' => 100, 'warmup_executions' => 10 ], 'index_analysis' => [ 'analyze_queries' => true ], 'query_optimization' => [ 'strategies' => ['limit', 'columns', 'hints'] ], 'connection_pool_testing' => [ 'pool_size' => 10, 'concurrent_connections' => 50, 'operations_per_connection' => 20 ], 'pattern_analysis' => [], 'load_testing' => [ 'concurrent_users' => 20, 'duration' => 60, 'ramp_up_time' => 10 ], 'query_profiler' => [], 'index_analyzer' => [], 'query_optimizer' => [], 'connection_pool' => [], 'reporter' => [] ]; } /** * Get configuration. */ public function getConfig(): array { return $this->config; } /** * Set configuration. */ public function setConfig(array $config): void { $this->config = array_merge($this->config, $config); } /** * Create database optimizer instance. */ public static function create(array $config = []): self { return new self($config); } /** * Create for development. */ public static function forDevelopment(): self { return new self([ 'query_profiling' => [ 'executions' => 50, 'warmup_executions' => 5 ], 'load_testing' => [ 'concurrent_users' => 10, 'duration' => 30 ] ]); } /** * Create for production. */ public static function forProduction(): self { return new self([ 'query_profiling' => [ 'executions' => 200, 'warmup_executions' => 20 ], 'load_testing' => [ 'concurrent_users' => 100, 'duration' => 300 ] ]); } }