History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"unlearn"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 406 | 2025-11-14 16:53:59 | unlearn | 2 | 107671 | 16 | 3.673 | 29314.2 |
| 405 | 2025-11-14 10:45:12 | unlearn | 1 | 69583 | 3 | 1.856 | 37490.8 |
| 404 | 2025-11-09 19:18:08 | unlearn | 3 | 134027 | 142 | 29.266 | 4579.6 |
| 403 | 2025-11-09 02:06:28 | unlearn | 3 | 134027 | 142 | 6.516 | 20568.9 |
| 402 | 2025-11-06 10:30:35 | unlearn | 3 | 134027 | 142 | 5.826 | 23005.0 |
| 401 | 2025-11-02 22:49:34 | unlearn | 3 | 134027 | 142 | 5.796 | 23124.1 |
| 400 | 2025-10-29 19:58:22 | unlearn | 1 | 69583 | 3 | 1.266 | 54962.9 |
| 399 | 2025-10-21 07:28:29 | unlearn | 1 | 69583 | 3 | 6.076 | 11452.1 |
| 398 | 2025-09-08 07:36:42 | unlearn | 2 | 107671 | 16 | 3.203 | 33615.7 |
| 397 | 2025-09-07 22:45:55 | unlearn | 1 | 69583 | 3 | 1.063 | 65459.1 |
| 396 | 2025-09-05 14:20:53 | unlearn | 3 | 134027 | 142 | 6.030 | 22226.7 |
| 395 | 2025-09-01 13:20:27 | unlearn | 2 | 107671 | 16 | 2.966 | 36301.8 |
| 394 | 2025-09-01 09:32:37 | unlearn | 1 | 69583 | 3 | 1.233 | 56433.9 |
| 393 | 2025-09-01 02:19:06 | unlearn | 1 | 69583 | 3 | 1.156 | 60192.9 |
| 392 | 2025-08-26 15:45:27 | unlearn | 3 | 134027 | 142 | 6.686 | 20045.9 |
| 391 | 2025-08-25 15:30:16 | unlearn | 1 | 69583 | 3 | 6.250 | 11133.3 |
| 390 | 2025-08-25 15:07:09 | unlearn | 1 | 69583 | 3 | 3.080 | 22591.9 |
| 389 | 2025-08-23 19:20:10 | unlearn | 3 | 134027 | 142 | 18.110 | 7400.7 |
| 388 | 2025-08-22 19:18:50 | unlearn | 3 | 134027 | 142 | 7.216 | 18573.6 |
| 387 | 2025-08-21 11:58:55 | unlearn | 1 | 69583 | 3 | 5.906 | 11781.7 |
| 386 | 2025-08-21 10:03:02 | unlearn | 1 | 69583 | 3 | 2.453 | 28366.5 |
| 385 | 2025-08-19 03:16:18 | unlearn | 2 | 107671 | 16 | 12.686 | 8487.4 |
| 384 | 2025-08-16 09:52:39 | unlearn | 2 | 107671 | 16 | 3.376 | 31893.1 |
| 383 | 2025-08-14 17:40:07 | unlearn | 2 | 107671 | 16 | 2.936 | 36672.7 |
| 382 | 2025-08-14 17:39:48 | unlearn | 3 | 134027 | 142 | 6.766 | 19808.9 |
| 381 | 2025-08-12 02:16:22 | unlearn | 3 | 134027 | 142 | 14.940 | 8971.0 |
| 380 | 2025-08-11 02:07:44 | unlearn | 1 | 69583 | 3 | 4.673 | 14890.4 |
| 379 | 2025-08-11 00:20:10 | unlearn | 1 | 69583 | 3 | 1.203 | 57841.2 |
| 378 | 2025-08-06 09:16:58 | unlearn | 2 | 107671 | 16 | 8.813 | 12217.3 |
| 377 | 2025-08-04 08:54:54 | unlearn | 2 | 107671 | 16 | 5.186 | 20761.9 |
| 376 | 2025-08-04 02:39:22 | unlearn | 2 | 107671 | 16 | 8.753 | 12301.0 |
| 375 | 2025-08-03 16:18:46 | unlearn | 2 | 107671 | 16 | 15.906 | 6769.2 |
| 374 | 2025-07-31 23:38:37 | unlearn | 3 | 134027 | 142 | 22.016 | 6087.7 |
| 373 | 2025-07-31 03:51:26 | unlearn | 3 | 134027 | 142 | 14.360 | 9333.4 |
| 372 | 2025-07-31 03:36:44 | unlearn | 1 | 69583 | 3 | 1.250 | 55666.4 |
| 371 | 2025-07-30 12:27:35 | unlearn | 3 | 134027 | 142 | 9.753 | 13742.1 |
| 370 | 2025-07-28 18:02:13 | unlearn | 2 | 107671 | 16 | 14.296 | 7531.5 |
| 369 | 2025-07-27 19:31:04 | unlearn | 3 | 134027 | 142 | 17.703 | 7570.9 |
| 368 | 2025-07-27 16:49:19 | unlearn | 1 | 69583 | 3 | 2.216 | 31400.3 |
| 367 | 2025-07-25 11:38:35 | unlearn | 2 | 107671 | 16 | 7.546 | 14268.6 |
| 366 | 2025-07-25 11:36:00 | unlearn | 3 | 134027 | 142 | 22.190 | 6040.0 |
| 365 | 2025-07-24 19:57:55 | unlearn | 1 | 69583 | 3 | 2.906 | 23944.6 |
| 364 | 2025-07-23 01:46:27 | unlearn | 1 | 69583 | 3 | 5.953 | 11688.7 |
| 363 | 2025-07-19 23:25:42 | unlearn | 3 | 134027 | 142 | 7.143 | 18763.4 |
| 362 | 2025-07-19 21:13:53 | unlearn | 2 | 107671 | 16 | 3.233 | 33303.7 |
| 361 | 2025-07-18 16:26:15 | unlearn | 1 | 69583 | 3 | 2.813 | 24736.2 |
| 360 | 2025-07-17 20:53:38 | unlearn | 1 | 69583 | 3 | 4.280 | 16257.7 |
| 359 | 2025-07-17 07:40:29 | unlearn | 3 | 134027 | 142 | 18.750 | 7148.1 |
| 358 | 2025-07-08 11:39:14 | unlearn | 3 | 134027 | 142 | 34.346 | 3902.3 |
| 357 | 2025-07-05 20:50:04 | unlearn | 3 | 134027 | 142 | 7.170 | 18692.7 |
| 356 | 2025-07-04 22:32:47 | unlearn | 3 | 134027 | 142 | 44.593 | 3005.6 |
| 355 | 2025-07-03 15:08:00 | unlearn | 3 | 134027 | 142 | 7.313 | 18327.2 |
| 354 | 2025-07-03 09:19:47 | unlearn | 3 | 134027 | 142 | 28.656 | 4677.1 |
| 353 | 2025-07-02 06:11:24 | unlearn | 3 | 134027 | 142 | 30.406 | 4407.9 |
| 352 | 2025-06-28 10:57:52 | unlearn | 1 | 69583 | 3 | 5.530 | 12582.8 |
| 351 | 2025-06-27 05:37:30 | unlearn | 3 | 134027 | 142 | 27.270 | 4914.8 |
| 350 | 2025-06-26 23:51:24 | unlearn | 3 | 134027 | 142 | 6.436 | 20824.6 |
| 349 | 2025-06-25 23:05:27 | unlearn | 3 | 134027 | 142 | 35.330 | 3793.6 |
| 348 | 2025-06-24 15:42:36 | unlearn | 1 | 69583 | 3 | 3.406 | 20429.5 |
| 347 | 2025-06-23 11:33:33 | unlearn | 2 | 107671 | 16 | 16.736 | 6433.5 |
| 346 | 2025-06-22 23:08:40 | unlearn | 3 | 134027 | 142 | 6.703 | 19995.1 |
| 345 | 2025-06-21 14:18:54 | unlearn | 2 | 107671 | 16 | 3.313 | 32499.5 |
| 344 | 2025-06-17 09:24:55 | unlearn | 2 | 107671 | 16 | 3.296 | 32667.2 |
| 343 | 2025-06-17 03:06:33 | unlearn | 3 | 134027 | 142 | 31.343 | 4276.1 |
| 342 | 2025-06-16 15:49:41 | unlearn | 3 | 134027 | 142 | 42.686 | 3139.8 |
| 341 | 2025-06-16 12:52:24 | unlearn | 2 | 107671 | 16 | 24.706 | 4358.1 |
| 340 | 2025-06-16 10:01:07 | unlearn | 3 | 134027 | 142 | 27.673 | 4843.2 |
| 339 | 2025-06-16 04:02:36 | unlearn | 2 | 107671 | 16 | 7.486 | 14383.0 |
| 338 | 2025-06-15 16:54:24 | unlearn | 1 | 69583 | 3 | 1.203 | 57841.2 |
| 337 | 2025-06-15 15:15:33 | unlearn | 1 | 69583 | 3 | 1.266 | 54962.9 |
| 336 | 2025-06-15 08:52:52 | unlearn | 3 | 134027 | 142 | 6.910 | 19396.1 |
| 335 | 2025-06-13 15:43:25 | unlearn | 3 | 134027 | 142 | 6.766 | 19808.9 |
| 334 | 2025-06-12 06:12:41 | unlearn | 1 | 69583 | 3 | 4.250 | 16372.5 |
| 333 | 2025-06-11 03:08:37 | unlearn | 2 | 107671 | 16 | 8.266 | 13025.8 |
| 332 | 2025-06-06 06:41:20 | unlearn | 1 | 69583 | 3 | 8.266 | 8418.0 |
| 331 | 2025-06-03 14:59:29 | unlearn | 1 | 69583 | 3 | 1.893 | 36758.1 |
| 330 | 2025-06-03 14:31:50 | unlearn | 1 | 69583 | 3 | 5.733 | 12137.3 |
| 329 | 2025-05-31 21:43:14 | unlearn | 2 | 107671 | 16 | 15.860 | 6788.8 |
| 328 | 2025-05-28 14:06:33 | unlearn | 1 | 69583 | 3 | 1.250 | 55666.4 |
| 327 | 2025-05-28 04:56:20 | unlearn | 2 | 107671 | 16 | 3.266 | 32967.2 |
| 326 | 2025-05-27 12:14:27 | unlearn | 1 | 69583 | 3 | 2.796 | 24886.6 |
| 325 | 2025-05-26 20:14:23 | unlearn | 3 | 134027 | 142 | 48.343 | 2772.4 |
| 324 | 2025-05-24 14:15:37 | unlearn | 3 | 134027 | 142 | 34.440 | 3891.6 |
| 323 | 2025-05-18 20:27:21 | unlearn | 2 | 107671 | 16 | 3.296 | 32667.2 |
| 322 | 2025-05-16 05:35:08 | unlearn | 2 | 107671 | 16 | 10.406 | 10347.0 |
| 321 | 2025-05-15 16:39:43 | unlearn | 3 | 134027 | 142 | 26.283 | 5099.4 |
| 320 | 2025-05-15 14:44:13 | unlearn | 1 | 69583 | 3 | 2.483 | 28023.8 |
| 319 | 2025-05-15 08:58:13 | unlearn | 3 | 134027 | 142 | 6.420 | 20876.5 |
| 318 | 2025-05-14 04:13:05 | unlearn | 3 | 134027 | 142 | 32.600 | 4111.3 |
| 317 | 2025-05-13 09:29:20 | unlearn | 2 | 107671 | 16 | 9.923 | 10850.7 |
| 316 | 2025-05-13 02:19:11 | unlearn | 3 | 134027 | 142 | 41.586 | 3222.9 |
| 315 | 2025-05-11 17:02:23 | unlearn | 1 | 69583 | 3 | 1.263 | 55093.4 |
| 314 | 2025-05-11 13:08:14 | unlearn | 3 | 134027 | 142 | 7.453 | 17983.0 |
| 313 | 2025-05-08 11:24:45 | unlearn | 1 | 69583 | 3 | 4.500 | 15462.9 |
| 312 | 2025-05-04 09:35:16 | unlearn | 1 | 69583 | 3 | 3.330 | 20895.8 |
| 311 | 2025-05-02 14:56:39 | unlearn | 1 | 69583 | 3 | 8.716 | 7983.4 |
| 310 | 2025-04-24 14:45:47 | unlearn | 2 | 107671 | 16 | 25.516 | 4219.7 |
| 309 | 2025-04-22 16:05:32 | unlearn | 3 | 134027 | 142 | 6.706 | 19986.1 |
| 308 | 2025-04-22 06:08:20 | unlearn | 3 | 134027 | 142 | 6.703 | 19995.1 |
| 307 | 2025-04-21 12:21:20 | unlearn | 2 | 107671 | 16 | 8.466 | 12718.0 |