History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"harshnesses"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 394 | 2025-10-21 17:38:51 | harshnesses | 4 | 148819 | 439 | 40.283 | 3694.3 |
| 393 | 2025-10-18 10:47:25 | harshnesses | 4 | 148819 | 439 | 9.970 | 14926.7 |
| 392 | 2025-10-16 02:57:43 | harshnesses | 4 | 148819 | 439 | 9.576 | 15540.8 |
| 391 | 2025-10-14 18:39:51 | harshnesses | 3 | 121633 | 77 | 5.173 | 23513.0 |
| 390 | 2025-10-12 13:01:50 | harshnesses | 3 | 121633 | 77 | 4.453 | 27314.8 |
| 389 | 2025-10-03 04:36:28 | harshnesses | 3 | 121633 | 77 | 4.623 | 26310.4 |
| 388 | 2025-10-02 15:58:58 | harshnesses | 3 | 121633 | 77 | 4.500 | 27029.6 |
| 387 | 2025-08-29 01:03:22 | harshnesses | 1 | 49908 | 1 | 0.860 | 58032.6 |
| 386 | 2025-08-22 05:49:32 | harshnesses | 4 | 148819 | 439 | 8.110 | 18350.1 |
| 385 | 2025-08-19 21:53:44 | harshnesses | 2 | 86808 | 12 | 2.096 | 41416.0 |
| 384 | 2025-08-19 07:31:15 | harshnesses | 3 | 121633 | 77 | 18.533 | 6563.0 |
| 383 | 2025-08-18 00:44:45 | harshnesses | 3 | 121633 | 77 | 4.860 | 25027.4 |
| 382 | 2025-08-17 03:06:54 | harshnesses | 2 | 86808 | 12 | 5.406 | 16057.7 |
| 381 | 2025-08-17 03:06:38 | harshnesses | 2 | 86808 | 12 | 11.016 | 7880.2 |
| 380 | 2025-08-15 20:15:13 | harshnesses | 3 | 121633 | 77 | 5.280 | 23036.6 |
| 379 | 2025-08-15 20:14:27 | harshnesses | 3 | 121633 | 77 | 4.486 | 27113.9 |
| 378 | 2025-08-12 03:41:26 | harshnesses | 1 | 49908 | 1 | 1.610 | 30998.8 |
| 377 | 2025-08-12 03:40:37 | harshnesses | 1 | 49908 | 1 | 2.140 | 23321.5 |
| 376 | 2025-08-11 18:56:05 | harshnesses | 3 | 121633 | 77 | 11.750 | 10351.7 |
| 375 | 2025-08-10 09:29:31 | harshnesses | 1 | 49908 | 1 | 1.966 | 25385.6 |
| 374 | 2025-08-08 11:34:46 | harshnesses | 4 | 148819 | 439 | 8.470 | 17570.1 |
| 373 | 2025-08-08 11:34:23 | harshnesses | 4 | 148819 | 439 | 9.423 | 15793.2 |
| 372 | 2025-08-04 17:34:21 | harshnesses | 1 | 49908 | 1 | 1.673 | 29831.4 |
| 371 | 2025-08-04 13:04:24 | harshnesses | 1 | 49908 | 1 | 2.033 | 24548.9 |
| 370 | 2025-08-03 04:11:11 | harshnesses | 4 | 148819 | 439 | 36.503 | 4076.9 |
| 369 | 2025-08-01 09:16:22 | harshnesses | 4 | 148819 | 439 | 27.080 | 5495.5 |
| 368 | 2025-07-31 16:25:41 | harshnesses | 1 | 49908 | 1 | 0.860 | 58032.6 |
| 367 | 2025-07-29 02:46:31 | harshnesses | 1 | 49908 | 1 | 2.156 | 23148.4 |
| 366 | 2025-07-27 01:28:24 | harshnesses | 1 | 49908 | 1 | 2.233 | 22350.2 |
| 365 | 2025-07-23 00:33:40 | harshnesses | 1 | 49908 | 1 | 1.546 | 32282.0 |
| 364 | 2025-07-22 12:57:05 | harshnesses | 2 | 86808 | 12 | 8.393 | 10342.9 |
| 363 | 2025-07-21 19:17:29 | harshnesses | 1 | 49908 | 1 | 0.780 | 63984.6 |
| 362 | 2025-07-20 21:55:06 | harshnesses | 4 | 148819 | 439 | 11.126 | 13375.8 |
| 361 | 2025-07-15 16:14:30 | harshnesses | 4 | 148819 | 439 | 11.440 | 13008.7 |
| 360 | 2025-07-11 06:08:14 | harshnesses | 1 | 49908 | 1 | 6.030 | 8276.6 |
| 359 | 2025-07-09 06:16:11 | harshnesses | 3 | 121633 | 77 | 24.753 | 4913.9 |
| 358 | 2025-07-08 05:17:28 | harshnesses | 3 | 121633 | 77 | 13.546 | 8979.3 |
| 357 | 2025-07-07 14:05:53 | harshnesses | 1 | 49908 | 1 | 2.380 | 20969.7 |
| 356 | 2025-07-06 03:07:19 | harshnesses | 4 | 148819 | 439 | 8.983 | 16566.7 |
| 355 | 2025-07-04 21:12:11 | harshnesses | 4 | 148819 | 439 | 42.720 | 3483.6 |
| 354 | 2025-07-03 08:25:22 | harshnesses | 3 | 121633 | 77 | 13.670 | 8897.8 |
| 353 | 2025-07-03 03:46:10 | harshnesses | 2 | 86808 | 12 | 12.000 | 7234.0 |
| 352 | 2025-07-03 03:41:00 | harshnesses | 3 | 121633 | 77 | 17.626 | 6900.8 |
| 351 | 2025-07-01 23:21:26 | harshnesses | 4 | 148819 | 439 | 48.833 | 3047.5 |
| 350 | 2025-07-01 08:21:38 | harshnesses | 4 | 148819 | 439 | 8.313 | 17902.0 |
| 349 | 2025-06-30 20:25:01 | harshnesses | 2 | 86808 | 12 | 10.280 | 8444.4 |
| 348 | 2025-06-30 20:12:51 | harshnesses | 3 | 121633 | 77 | 17.576 | 6920.4 |
| 347 | 2025-06-29 14:11:40 | harshnesses | 1 | 49908 | 1 | 0.843 | 59202.8 |
| 346 | 2025-06-29 10:44:09 | harshnesses | 3 | 121633 | 77 | 5.736 | 21205.2 |
| 345 | 2025-06-28 11:55:21 | harshnesses | 1 | 49908 | 1 | 3.873 | 12886.1 |
| 344 | 2025-06-28 11:01:45 | harshnesses | 1 | 49908 | 1 | 4.156 | 12008.7 |
| 343 | 2025-06-28 09:25:33 | harshnesses | 1 | 49908 | 1 | 4.170 | 11968.3 |
| 342 | 2025-06-21 18:22:20 | harshnesses | 1 | 49908 | 1 | 0.766 | 65154.0 |
| 341 | 2025-06-14 19:53:07 | harshnesses | 1 | 49908 | 1 | 2.296 | 21736.9 |
| 340 | 2025-06-10 09:07:17 | harshnesses | 1 | 49908 | 1 | 3.373 | 14796.3 |
| 339 | 2025-06-09 15:41:17 | harshnesses | 1 | 49908 | 1 | 0.876 | 56972.6 |
| 338 | 2025-06-07 13:10:32 | harshnesses | 1 | 49908 | 1 | 2.080 | 23994.2 |
| 337 | 2025-06-04 21:55:34 | harshnesses | 1 | 49908 | 1 | 4.690 | 10641.4 |
| 336 | 2025-05-30 16:38:04 | harshnesses | 1 | 49908 | 1 | 0.890 | 56076.4 |
| 335 | 2025-05-27 14:02:27 | harshnesses | 1 | 49908 | 1 | 4.186 | 11922.6 |
| 334 | 2025-05-26 17:53:06 | harshnesses | 1 | 49908 | 1 | 4.483 | 11132.7 |
| 333 | 2025-05-08 08:17:20 | harshnesses | 1 | 49908 | 1 | 2.440 | 20454.1 |
| 332 | 2025-05-03 08:15:23 | harshnesses | 2 | 86808 | 12 | 15.483 | 5606.7 |
| 331 | 2025-05-03 07:05:06 | harshnesses | 1 | 49908 | 1 | 1.940 | 25725.8 |
| 330 | 2025-05-02 21:03:20 | harshnesses | 1 | 49908 | 1 | 6.156 | 8107.2 |
| 329 | 2025-05-01 08:29:28 | harshnesses | 3 | 121633 | 77 | 5.326 | 22837.6 |
| 328 | 2025-04-28 11:11:23 | harshnesses | 3 | 121633 | 77 | 14.313 | 8498.1 |
| 327 | 2025-04-28 07:25:43 | harshnesses | 3 | 121633 | 77 | 26.966 | 4510.6 |
| 326 | 2025-04-28 00:59:58 | harshnesses | 2 | 86808 | 12 | 5.953 | 14582.2 |
| 325 | 2025-04-27 13:26:45 | harshnesses | 1 | 49908 | 1 | 0.736 | 67809.8 |
| 324 | 2025-04-27 00:39:30 | harshnesses | 4 | 148819 | 439 | 9.050 | 16444.1 |
| 323 | 2025-04-26 23:35:12 | harshnesses | 4 | 148819 | 439 | 8.563 | 17379.3 |
| 322 | 2025-04-26 11:15:31 | harshnesses | 1 | 49908 | 1 | 4.033 | 12374.9 |
| 321 | 2025-04-26 08:20:45 | harshnesses | 3 | 121633 | 77 | 24.016 | 5064.7 |
| 320 | 2025-04-25 20:04:49 | harshnesses | 4 | 148819 | 439 | 31.220 | 4766.8 |
| 319 | 2025-04-25 15:22:44 | harshnesses | 2 | 86808 | 12 | 2.593 | 33477.8 |
| 318 | 2025-04-25 14:05:45 | harshnesses | 3 | 121633 | 77 | 13.000 | 9356.4 |
| 317 | 2025-04-24 10:35:56 | harshnesses | 4 | 148819 | 439 | 8.690 | 17125.3 |
| 316 | 2025-04-16 11:42:54 | harshnesses | 4 | 148819 | 439 | 40.253 | 3697.1 |
| 315 | 2025-04-16 00:39:03 | harshnesses | 4 | 148819 | 439 | 36.626 | 4063.2 |
| 314 | 2025-04-15 01:30:19 | harshnesses | 4 | 148819 | 439 | 8.563 | 17379.3 |
| 313 | 2025-04-14 03:42:27 | harshnesses | 2 | 86808 | 12 | 19.173 | 4527.6 |
| 312 | 2025-04-04 08:06:09 | harshnesses | 1 | 49908 | 1 | 3.560 | 14019.1 |
| 311 | 2025-03-31 15:14:03 | harshnesses | 1 | 49908 | 1 | 3.890 | 12829.8 |
| 310 | 2025-03-29 07:54:37 | harshnesses | 1 | 49908 | 1 | 4.346 | 11483.7 |
| 309 | 2025-03-27 15:26:56 | harshnesses | 1 | 49908 | 1 | 4.030 | 12384.1 |
| 308 | 2025-03-25 12:37:07 | harshnesses | 1 | 49908 | 1 | 2.373 | 21031.6 |
| 307 | 2025-03-02 08:50:13 | harshnesses | 3 | 121633 | 77 | 21.203 | 5736.6 |
| 306 | 2025-02-23 17:55:27 | harshnesses | 3 | 121633 | 77 | 26.736 | 4549.4 |
| 305 | 2025-02-22 08:36:55 | harshnesses | 3 | 121633 | 77 | 23.453 | 5186.2 |
| 304 | 2025-02-22 08:36:55 | harshnesses | 2 | 86808 | 12 | 12.890 | 6734.5 |
| 303 | 2025-02-22 08:33:04 | harshnesses | 1 | 49908 | 1 | 1.030 | 48454.4 |
| 302 | 2025-02-21 20:47:18 | harshnesses | 3 | 121633 | 77 | 37.220 | 3267.9 |
| 301 | 2025-02-21 20:47:17 | harshnesses | 2 | 86808 | 12 | 12.190 | 7121.2 |
| 300 | 2025-02-21 20:47:09 | harshnesses | 3 | 121633 | 77 | 19.610 | 6202.6 |
| 299 | 2025-02-21 20:44:57 | harshnesses | 1 | 49908 | 1 | 1.906 | 26184.7 |
| 298 | 2025-02-15 23:54:44 | harshnesses | 1 | 49908 | 1 | 2.173 | 22967.3 |
| 297 | 2025-02-14 21:55:36 | harshnesses | 1 | 49908 | 1 | 4.376 | 11404.9 |
| 296 | 2025-01-22 01:39:28 | harshnesses | 2 | 86808 | 12 | 8.720 | 9955.0 |
| 295 | 2025-01-22 01:39:11 | harshnesses | 1 | 49908 | 1 | 2.703 | 18463.9 |