History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
    
        
    
    
    
    
    
    
    
    
        
    Fuzzy-string Searches
        (up to 100 most recent)
        for
        "overlearned"
        
    
	
		| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec | 
	
		| 379 | 2025-11-03 16:43:39 | overlearned | 4 | 148819 | 184 | 8.970 | 16590.7 | 
	
		| 378 | 2025-11-02 15:23:19 | overlearned | 1 | 49908 | 1 | 0.830 | 60130.1 | 
	
		| 377 | 2025-10-10 03:09:44 | overlearned | 2 | 86808 | 9 | 2.046 | 42428.2 | 
	
		| 376 | 2025-10-06 09:58:20 | overlearned | 2 | 86808 | 9 | 4.983 | 17420.8 | 
	
		| 375 | 2025-10-04 00:12:31 | overlearned | 3 | 121633 | 38 | 5.000 | 24326.6 | 
	
		| 374 | 2025-10-03 22:08:47 | overlearned | 1 | 49908 | 1 | 0.843 | 59202.8 | 
	
		| 373 | 2025-09-25 17:09:05 | overlearned | 1 | 49908 | 1 | 3.923 | 12721.9 | 
	
		| 372 | 2025-09-18 07:10:29 | overlearned | 4 | 148819 | 184 | 22.436 | 6633.0 | 
	
		| 371 | 2025-09-16 10:34:45 | overlearned | 1 | 49908 | 1 | 0.890 | 56076.4 | 
	
		| 370 | 2025-09-12 00:04:52 | overlearned | 2 | 86808 | 9 | 2.220 | 39102.7 | 
	
		| 369 | 2025-09-10 03:29:30 | overlearned | 1 | 49908 | 1 | 1.593 | 31329.6 | 
	
		| 368 | 2025-09-08 16:11:54 | overlearned | 1 | 49908 | 1 | 0.750 | 66544.0 | 
	
		| 367 | 2025-09-01 16:23:49 | overlearned | 1 | 49908 | 1 | 0.860 | 58032.6 | 
	
		| 366 | 2025-08-26 16:18:20 | overlearned | 4 | 148819 | 184 | 8.906 | 16710.0 | 
	
		| 365 | 2025-08-25 21:21:51 | overlearned | 4 | 148819 | 184 | 50.813 | 2928.8 | 
	
		| 364 | 2025-08-23 01:26:14 | overlearned | 4 | 148819 | 184 | 45.783 | 3250.5 | 
	
		| 363 | 2025-08-19 00:22:23 | overlearned | 1 | 49908 | 1 | 3.563 | 14007.3 | 
	
		| 362 | 2025-08-18 22:38:13 | overlearned | 4 | 148819 | 184 | 34.550 | 4307.4 | 
	
		| 361 | 2025-08-18 14:20:04 | overlearned | 1 | 49908 | 1 | 0.796 | 62698.5 | 
	
		| 360 | 2025-08-17 15:21:01 | overlearned | 1 | 49908 | 1 | 2.580 | 19344.2 | 
	
		| 359 | 2025-08-15 18:43:31 | overlearned | 3 | 121633 | 38 | 25.266 | 4814.1 | 
	
		| 358 | 2025-08-15 15:53:38 | overlearned | 3 | 121633 | 38 | 17.593 | 6913.7 | 
	
		| 357 | 2025-08-14 17:23:37 | overlearned | 1 | 49908 | 1 | 0.843 | 59202.8 | 
	
		| 356 | 2025-08-14 16:16:57 | overlearned | 1 | 49908 | 1 | 0.780 | 63984.6 | 
	
		| 355 | 2025-08-12 07:55:30 | overlearned | 1 | 49908 | 1 | 1.576 | 31667.5 | 
	
		| 354 | 2025-07-25 04:07:45 | overlearned | 1 | 49908 | 1 | 2.080 | 23994.2 | 
	
		| 353 | 2025-07-24 15:03:27 | overlearned | 1 | 49908 | 1 | 2.123 | 23508.2 | 
	
		| 352 | 2025-07-19 09:03:01 | overlearned | 1 | 49908 | 1 | 0.780 | 63984.6 | 
	
		| 351 | 2025-07-17 19:23:22 | overlearned | 1 | 49908 | 1 | 2.296 | 21736.9 | 
	
		| 350 | 2025-07-10 07:30:27 | overlearned | 1 | 49908 | 1 | 4.313 | 11571.5 | 
	
		| 349 | 2025-06-23 23:39:25 | overlearned | 2 | 86808 | 9 | 11.533 | 7526.9 | 
	
		| 348 | 2025-06-23 11:14:40 | overlearned | 1 | 49908 | 1 | 0.843 | 59202.8 | 
	
		| 347 | 2025-06-23 03:13:10 | overlearned | 1 | 49908 | 1 | 4.000 | 12477.0 | 
	
		| 346 | 2025-06-20 00:33:32 | overlearned | 1 | 49908 | 1 | 4.126 | 12096.0 | 
	
		| 345 | 2025-06-16 15:43:47 | overlearned | 1 | 49908 | 1 | 3.953 | 12625.3 | 
	
		| 344 | 2025-06-01 03:45:26 | overlearned | 1 | 49908 | 1 | 4.046 | 12335.1 | 
	
		| 343 | 2025-05-31 02:46:08 | overlearned | 1 | 49908 | 1 | 4.186 | 11922.6 | 
	
		| 342 | 2025-05-22 03:48:42 | overlearned | 1 | 49908 | 1 | 4.810 | 10375.9 | 
	
		| 341 | 2025-05-19 00:38:46 | overlearned | 1 | 49908 | 1 | 1.736 | 28748.8 | 
	
		| 340 | 2025-05-18 14:34:16 | overlearned | 1 | 49908 | 1 | 1.906 | 26184.7 | 
	
		| 339 | 2025-05-16 15:27:32 | overlearned | 1 | 49908 | 1 | 3.953 | 12625.3 | 
	
		| 338 | 2025-05-15 21:19:18 | overlearned | 1 | 49908 | 1 | 4.283 | 11652.6 | 
	
		| 337 | 2025-05-13 20:12:11 | overlearned | 1 | 49908 | 1 | 5.843 | 8541.5 | 
	
		| 336 | 2025-05-13 04:21:03 | overlearned | 1 | 49908 | 1 | 0.860 | 58032.6 | 
	
		| 335 | 2025-05-07 00:44:33 | overlearned | 1 | 49908 | 1 | 0.876 | 56972.6 | 
	
		| 334 | 2025-04-30 11:57:29 | overlearned | 1 | 49908 | 1 | 3.250 | 15356.3 | 
	
		| 333 | 2025-04-28 05:24:30 | overlearned | 1 | 49908 | 1 | 3.936 | 12679.9 | 
	
		| 332 | 2025-04-14 02:34:53 | overlearned | 1 | 49908 | 1 | 5.343 | 9340.8 | 
	
		| 331 | 2025-04-02 14:26:34 | overlearned | 1 | 49908 | 1 | 5.596 | 8918.5 | 
	
		| 330 | 2025-03-20 13:48:13 | overlearned | 1 | 49908 | 1 | 6.203 | 8045.8 | 
	
		| 329 | 2025-03-13 06:09:15 | overlearned | 1 | 49908 | 1 | 3.923 | 12721.9 | 
	
		| 328 | 2025-03-12 00:17:27 | overlearned | 1 | 49908 | 1 | 2.530 | 19726.5 | 
	
		| 327 | 2025-03-04 03:05:54 | overlearned | 2 | 86808 | 9 | 6.076 | 14287.0 | 
	
		| 326 | 2025-03-04 03:03:42 | overlearned | 1 | 49908 | 1 | 3.936 | 12679.9 | 
	
		| 325 | 2025-02-16 08:34:34 | overlearned | 3 | 121633 | 38 | 36.300 | 3350.8 | 
	
		| 324 | 2025-02-12 06:14:28 | overlearned | 3 | 121633 | 38 | 25.986 | 4680.7 | 
	
		| 323 | 2025-02-11 04:57:25 | overlearned | 4 | 148819 | 184 | 70.313 | 2116.5 | 
	
		| 322 | 2025-02-08 18:25:10 | overlearned | 4 | 148819 | 184 | 49.753 | 2991.2 | 
	
		| 321 | 2025-02-08 09:16:47 | overlearned | 4 | 148819 | 184 | 43.550 | 3417.2 | 
	
		| 320 | 2025-02-08 03:29:12 | overlearned | 4 | 148819 | 184 | 40.770 | 3650.2 | 
	
		| 319 | 2025-02-08 03:29:04 | overlearned | 3 | 121633 | 38 | 23.173 | 5248.9 | 
	
		| 318 | 2025-02-08 03:29:04 | overlearned | 2 | 86808 | 9 | 12.046 | 7206.4 | 
	
		| 317 | 2025-02-08 03:09:52 | overlearned | 1 | 49908 | 1 | 1.266 | 39421.8 | 
	
		| 316 | 2025-02-03 19:48:54 | overlearned | 1 | 49908 | 1 | 3.483 | 14329.0 | 
	
		| 315 | 2025-01-27 11:25:56 | overlearned | 1 | 49908 | 1 | 5.860 | 8516.7 | 
	
		| 314 | 2025-01-20 08:53:46 | overlearned | 1 | 49908 | 1 | 6.000 | 8318.0 | 
	
		| 313 | 2024-12-29 23:29:48 | overlearned | 2 | 86808 | 9 | 15.796 | 5495.6 | 
	
		| 312 | 2024-12-29 23:27:03 | overlearned | 1 | 49908 | 1 | 5.783 | 8630.1 | 
	
		| 311 | 2024-12-27 05:10:11 | overlearned | 2 | 86808 | 9 | 8.326 | 10426.1 | 
	
		| 310 | 2024-12-27 00:34:22 | overlearned | 3 | 121633 | 38 | 23.516 | 5172.4 | 
	
		| 309 | 2024-12-27 00:34:23 | overlearned | 2 | 86808 | 9 | 17.923 | 4843.4 | 
	
		| 308 | 2024-12-27 00:33:12 | overlearned | 1 | 49908 | 1 | 3.680 | 13562.0 | 
	
		| 307 | 2024-12-27 00:26:36 | overlearned | 4 | 148819 | 184 | 45.503 | 3270.5 | 
	
		| 306 | 2024-12-26 02:22:23 | overlearned | 4 | 148819 | 184 | 51.626 | 2882.6 | 
	
		| 305 | 2024-12-26 02:22:33 | overlearned | 2 | 86808 | 9 | 17.906 | 4848.0 | 
	
		| 304 | 2024-12-26 02:22:28 | overlearned | 3 | 121633 | 38 | 20.123 | 6044.5 | 
	
		| 303 | 2024-12-26 02:19:09 | overlearned | 1 | 49908 | 1 | 4.186 | 11922.6 | 
	
		| 302 | 2024-12-20 09:20:34 | overlearned | 1 | 49908 | 1 | 6.326 | 7889.3 | 
	
		| 301 | 2024-11-26 00:24:46 | overlearned | 4 | 148819 | 184 | 43.050 | 3456.9 | 
	
		| 300 | 2024-11-25 18:44:10 | overlearned | 4 | 148819 | 184 | 60.816 | 2447.0 | 
	
		| 299 | 2024-11-25 18:43:18 | overlearned | 1 | 49908 | 1 | 3.626 | 13763.9 | 
	
		| 298 | 2024-11-20 03:10:58 | overlearned | 1 | 49908 | 1 | 1.750 | 28518.9 | 
	
		| 297 | 2024-11-19 16:55:47 | overlearned | 1 | 49908 | 1 | 4.250 | 11743.1 | 
	
		| 296 | 2024-11-18 01:18:47 | overlearned | 2 | 86808 | 9 | 7.780 | 11157.8 | 
	
		| 295 | 2024-11-15 00:57:50 | overlearned | 3 | 121633 | 38 | 26.706 | 4554.5 | 
	
		| 294 | 2024-11-09 15:33:22 | overlearned | 3 | 121633 | 38 | 14.456 | 8414.0 | 
	
		| 293 | 2024-11-08 11:20:00 | overlearned | 3 | 121633 | 38 | 36.016 | 3377.2 | 
	
		| 292 | 2024-11-08 11:19:58 | overlearned | 2 | 86808 | 9 | 12.406 | 6997.3 | 
	
		| 291 | 2024-11-08 05:25:46 | overlearned | 3 | 121633 | 38 | 28.970 | 4198.6 | 
	
		| 290 | 2024-11-08 05:25:46 | overlearned | 2 | 86808 | 9 | 10.000 | 8680.8 | 
	
		| 289 | 2024-11-08 04:42:16 | overlearned | 1 | 49908 | 1 | 0.860 | 58032.6 | 
	
		| 288 | 2024-10-22 13:10:47 | overlearned | 1 | 49908 | 1 | 5.940 | 8402.0 | 
	
		| 287 | 2024-10-17 20:24:46 | overlearned | 1 | 49908 | 1 | 4.000 | 12477.0 | 
	
		| 286 | 2024-09-25 23:27:32 | overlearned | 1 | 49908 | 1 | 6.203 | 8045.8 | 
	
		| 285 | 2024-09-19 00:47:14 | overlearned | 2 | 86808 | 9 | 23.626 | 3674.3 | 
	
		| 284 | 2024-09-19 00:46:50 | overlearned | 1 | 49908 | 1 | 8.046 | 6202.8 | 
	
		| 283 | 2024-09-16 21:29:42 | overlearned | 3 | 121633 | 38 | 60.440 | 2012.5 | 
	
		| 282 | 2024-09-15 14:46:41 | overlearned | 3 | 121633 | 38 | 52.923 | 2298.3 | 
	
		| 281 | 2024-09-15 14:47:02 | overlearned | 2 | 86808 | 9 | 17.206 | 5045.2 | 
	
		| 280 | 2024-09-15 13:48:34 | overlearned | 2 | 86808 | 9 | 26.736 | 3246.9 |