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| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 | /** * Query Pattern Detection * * Detects common database performance issues like N+1 queries, * large result sets, and slow aggregations. */ import { prisma } from '@/lib/prisma'; import { logger } from '@/lib/logging'; /** * Types of query patterns that can be detected */ export type QueryPatternType = | 'n_plus_one' | 'large_result' | 'slow_aggregate' | 'frequent_same_query' | 'high_error_rate'; /** * Severity levels for detected patterns */ export type PatternSeverity = 'low' | 'medium' | 'high' | 'critical'; /** * A detected query pattern issue */ export interface QueryPattern { /** Type of pattern detected */ type: QueryPatternType; /** Severity level */ severity: PatternSeverity; /** Human-readable description */ description: string; /** Query names involved */ queries: string[]; /** Suggested fix */ suggestion: string; /** Additional data about the pattern */ data: { count?: number; avgDuration?: number; maxDuration?: number; rowCount?: number; errorRate?: number; [key: string]: unknown; }; /** When the pattern was detected */ detectedAt: Date; } /** * Options for pattern detection */ export interface PatternDetectionOptions { /** Time range to analyze */ timeRange: { start: Date; end: Date }; /** Threshold for N+1 detection (queries per second) */ nPlusOneThreshold?: number; /** Threshold for large result sets */ largeResultThreshold?: number; /** Threshold for slow queries (ms) */ slowThreshold?: number; /** Threshold for frequent same query */ frequentQueryThreshold?: number; /** Threshold for high error rate (percentage) */ errorRateThreshold?: number; } /** * Detect query patterns in database metrics */ export async function detectQueryPatterns( options: PatternDetectionOptions ): Promise<QueryPattern[]> { const { timeRange, nPlusOneThreshold = 10, largeResultThreshold = 1000, slowThreshold = 1000, frequentQueryThreshold = 100, errorRateThreshold = 5, } = options; const patterns: QueryPattern[] = []; // Run all detection queries in parallel const [ nPlusOnePatterns, largeResultPatterns, slowAggregatePatterns, frequentQueryPatterns, errorRatePatterns, ] = await Promise.all([ detectNPlusOneQueries(timeRange, nPlusOneThreshold), detectLargeResultSets(timeRange, largeResultThreshold), detectSlowAggregates(timeRange, slowThreshold), detectFrequentSameQuery(timeRange, frequentQueryThreshold), detectHighErrorRates(timeRange, errorRateThreshold), ]); patterns.push( ...nPlusOnePatterns, ...largeResultPatterns, ...slowAggregatePatterns, ...frequentQueryPatterns, ...errorRatePatterns ); // Sort by severity const severityOrder: Record<PatternSeverity, number> = { critical: 0, high: 1, medium: 2, low: 3, }; return patterns.sort( (a, b) => severityOrder[a.severity] - severityOrder[b.severity] ); } /** * Detect N+1 query patterns * Looks for the same query being executed many times in a short window */ async function detectNPlusOneQueries( timeRange: { start: Date; end: Date }, threshold: number ): Promise<QueryPattern[]> { const patterns: QueryPattern[] = []; try { // Group by query name and 1-second windows to find repeated queries const repeatedQueries = await prisma.$queryRaw< Array<{ name: string; count: bigint; avg_duration: number }> >` SELECT name, COUNT(*) as count, AVG(duration) as avg_duration FROM database_metrics WHERE timestamp >= ${timeRange.start} AND timestamp <= ${timeRange.end} GROUP BY name, DATE_FORMAT(timestamp, '%Y-%m-%d %H:%i:%s') HAVING COUNT(*) > ${threshold} ORDER BY count DESC LIMIT 10 `; for (const query of repeatedQueries) { const count = Number(query.count); const severity = getSeverityForNPlusOne(count); patterns.push({ type: 'n_plus_one', severity, description: `Query "${query.name}" executed ${count} times in 1 second`, queries: [query.name], suggestion: 'Consider using include/select to fetch related data in one query, or batch your queries', data: { count, avgDuration: query.avg_duration, }, detectedAt: new Date(), }); } } catch (error) { logger.error('Error detecting N+1 queries', error instanceof Error ? error : new Error(String(error)), { category: 'DATABASE' }); } return patterns; } /** * Detect queries returning large result sets */ async function detectLargeResultSets( timeRange: { start: Date; end: Date }, threshold: number ): Promise<QueryPattern[]> { const patterns: QueryPattern[] = []; try { const largeResults = await prisma.databaseMetric.findMany({ where: { timestamp: { gte: timeRange.start, lte: timeRange.end }, rowCount: { gt: threshold }, }, orderBy: { rowCount: 'desc' }, take: 10, }); for (const query of largeResults) { if (!query.rowCount) continue; const severity = getSeverityForLargeResult(query.rowCount); patterns.push({ type: 'large_result', severity, description: `Query "${query.name}" returned ${query.rowCount} rows`, queries: [query.name], suggestion: 'Consider adding pagination, limiting results, or using cursor-based pagination for large datasets', data: { rowCount: query.rowCount, avgDuration: query.duration, tableName: query.tableName || undefined, }, detectedAt: new Date(), }); } } catch (error) { logger.error('Error detecting large result sets', error instanceof Error ? error : new Error(String(error)), { category: 'DATABASE' }); } return patterns; } /** * Detect slow aggregate/groupBy queries */ async function detectSlowAggregates( timeRange: { start: Date; end: Date }, threshold: number ): Promise<QueryPattern[]> { const patterns: QueryPattern[] = []; try { const slowAggregates = await prisma.databaseMetric.findMany({ where: { timestamp: { gte: timeRange.start, lte: timeRange.end }, duration: { gt: threshold }, operation: { in: ['aggregate', 'groupBy', 'count'] }, }, orderBy: { duration: 'desc' }, take: 10, }); for (const query of slowAggregates) { const severity = getSeverityForSlowQuery(query.duration); patterns.push({ type: 'slow_aggregate', severity, description: `Aggregate query "${query.name}" took ${query.duration.toFixed(0)}ms`, queries: [query.name], suggestion: 'Consider adding indexes on grouped/aggregated columns, or pre-computing aggregates', data: { avgDuration: query.duration, operation: query.operation, tableName: query.tableName || undefined, }, detectedAt: new Date(), }); } } catch (error) { logger.error('Error detecting slow aggregates', error instanceof Error ? error : new Error(String(error)), { category: 'DATABASE' }); } return patterns; } /** * Detect frequently executed identical queries */ async function detectFrequentSameQuery( timeRange: { start: Date; end: Date }, threshold: number ): Promise<QueryPattern[]> { const patterns: QueryPattern[] = []; try { const frequentQueries = await prisma.databaseMetric.groupBy({ by: ['name'], where: { timestamp: { gte: timeRange.start, lte: timeRange.end }, }, _count: true, _avg: { duration: true }, having: { name: { _count: { gt: threshold }, }, }, orderBy: { _count: { name: 'desc' }, }, take: 10, }); for (const query of frequentQueries) { const severity: PatternSeverity = query._count > threshold * 10 ? 'high' : 'medium'; patterns.push({ type: 'frequent_same_query', severity, description: `Query "${query.name}" executed ${query._count} times in the time window`, queries: [query.name], suggestion: 'Consider caching this query result or implementing request deduplication', data: { count: query._count, avgDuration: query._avg.duration || 0, }, detectedAt: new Date(), }); } } catch (error) { logger.error('Error detecting frequent queries', error instanceof Error ? error : new Error(String(error)), { category: 'DATABASE' }); } return patterns; } /** * Detect queries with high error rates */ async function detectHighErrorRates( timeRange: { start: Date; end: Date }, threshold: number ): Promise<QueryPattern[]> { const patterns: QueryPattern[] = []; try { // Get total counts and error counts by query name const queryStats = await prisma.databaseMetric.groupBy({ by: ['name'], where: { timestamp: { gte: timeRange.start, lte: timeRange.end }, }, _count: true, }); const errorStats = await prisma.databaseMetric.groupBy({ by: ['name'], where: { timestamp: { gte: timeRange.start, lte: timeRange.end }, success: false, }, _count: true, }); const errorMap = new Map(errorStats.map((e) => [e.name, e._count])); for (const stat of queryStats) { const errorCount = errorMap.get(stat.name) || 0; if (stat._count < 10) continue; // Skip queries with too few samples const errorRate = (errorCount / stat._count) * 100; if (errorRate >= threshold) { const severity = getSeverityForErrorRate(errorRate); patterns.push({ type: 'high_error_rate', severity, description: `Query "${stat.name}" has ${errorRate.toFixed(1)}% error rate`, queries: [stat.name], suggestion: 'Investigate the error logs for this query and fix the underlying issue', data: { count: stat._count, errorRate, errorCount, }, detectedAt: new Date(), }); } } } catch (error) { logger.error('Error detecting high error rates', error instanceof Error ? error : new Error(String(error)), { category: 'DATABASE' }); } return patterns; } /** * Get severity level based on N+1 count */ function getSeverityForNPlusOne(count: number): PatternSeverity { if (count >= 100) return 'critical'; if (count >= 50) return 'high'; if (count >= 20) return 'medium'; return 'low'; } /** * Get severity level based on result set size */ function getSeverityForLargeResult(rowCount: number): PatternSeverity { if (rowCount >= 10000) return 'critical'; if (rowCount >= 5000) return 'high'; if (rowCount >= 2000) return 'medium'; return 'low'; } /** * Get severity level based on query duration */ function getSeverityForSlowQuery(duration: number): PatternSeverity { if (duration >= 5000) return 'critical'; if (duration >= 2000) return 'high'; if (duration >= 1000) return 'medium'; return 'low'; } /** * Get severity level based on error rate */ function getSeverityForErrorRate(errorRate: number): PatternSeverity { if (errorRate >= 50) return 'critical'; if (errorRate >= 20) return 'high'; if (errorRate >= 10) return 'medium'; return 'low'; } /** * Get a summary of detected patterns */ export function summarizePatterns(patterns: QueryPattern[]): { total: number; bySeverity: Record<PatternSeverity, number>; byType: Record<QueryPatternType, number>; topIssues: QueryPattern[]; } { const bySeverity: Record<PatternSeverity, number> = { critical: 0, high: 0, medium: 0, low: 0, }; const byType: Record<QueryPatternType, number> = { n_plus_one: 0, large_result: 0, slow_aggregate: 0, frequent_same_query: 0, high_error_rate: 0, }; for (const pattern of patterns) { bySeverity[pattern.severity]++; byType[pattern.type]++; } return { total: patterns.length, bySeverity, byType, topIssues: patterns.slice(0, 5), }; } |