History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"speciality"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 507 | 2026-04-21 04:39:58 | speciality | 1 | 67641 | 2 | 6.453 | 10482.1 |
| 506 | 2026-04-19 03:59:14 | speciality | 2 | 108824 | 11 | 3.156 | 34481.6 |
| 505 | 2026-04-18 05:07:55 | speciality | 2 | 108824 | 11 | 4.936 | 22047.0 |
| 504 | 2026-04-18 00:38:13 | speciality | 4 | 161450 | 150 | 37.393 | 4317.7 |
| 503 | 2026-04-17 14:35:03 | speciality | 1 | 67641 | 2 | 1.203 | 56226.9 |
| 502 | 2026-04-13 02:18:24 | speciality | 1 | 67641 | 2 | 8.360 | 8091.0 |
| 501 | 2026-04-10 00:58:45 | speciality | 1 | 67641 | 2 | 1.156 | 58513.0 |
| 500 | 2026-04-09 13:02:01 | speciality | 1 | 67641 | 2 | 2.186 | 30942.8 |
| 499 | 2026-04-05 14:56:07 | speciality | 1 | 67641 | 2 | 1.153 | 58665.2 |
| 498 | 2026-04-01 06:01:52 | speciality | 1 | 67641 | 2 | 6.110 | 11070.5 |
| 497 | 2026-03-30 08:23:09 | speciality | 1 | 67641 | 2 | 6.530 | 10358.5 |
| 496 | 2026-03-30 04:37:51 | speciality | 1 | 67641 | 2 | 2.923 | 23141.0 |
| 495 | 2026-03-30 04:36:43 | speciality | 1 | 67641 | 2 | 8.123 | 8327.1 |
| 494 | 2026-03-29 17:33:12 | speciality | 1 | 67641 | 2 | 1.203 | 56226.9 |
| 493 | 2026-03-12 12:10:32 | speciality | 1 | 67641 | 2 | 1.186 | 57032.9 |
| 492 | 2026-03-05 21:24:47 | speciality | 1 | 67641 | 2 | 2.470 | 27385.0 |
| 491 | 2026-03-04 12:37:06 | speciality | 1 | 67641 | 2 | 1.203 | 56226.9 |
| 490 | 2026-02-28 11:04:06 | speciality | 1 | 67641 | 2 | 1.173 | 57665.0 |
| 489 | 2026-02-22 16:51:25 | speciality | 1 | 67641 | 2 | 1.220 | 55443.4 |
| 488 | 2026-02-19 02:08:34 | speciality | 2 | 108824 | 11 | 3.423 | 31792.0 |
| 487 | 2026-02-15 19:54:45 | speciality | 1 | 67641 | 2 | 1.780 | 38000.6 |
| 486 | 2026-02-06 18:44:51 | speciality | 2 | 108824 | 11 | 3.346 | 32523.6 |
| 485 | 2026-02-05 00:02:47 | speciality | 2 | 108824 | 11 | 7.673 | 14182.7 |
| 484 | 2026-02-04 17:27:15 | speciality | 1 | 67641 | 2 | 1.046 | 64666.3 |
| 483 | 2026-02-03 23:30:22 | speciality | 2 | 108824 | 11 | 14.483 | 7513.9 |
| 482 | 2026-01-31 15:07:06 | speciality | 2 | 108824 | 11 | 3.160 | 34438.0 |
| 481 | 2026-01-31 06:38:58 | speciality | 4 | 161450 | 150 | 24.126 | 6692.0 |
| 480 | 2026-01-31 04:33:59 | speciality | 2 | 108824 | 11 | 8.263 | 13170.0 |
| 479 | 2026-01-30 23:53:03 | speciality | 1 | 67641 | 2 | 1.233 | 54858.9 |
| 478 | 2026-01-29 19:12:42 | speciality | 1 | 67641 | 2 | 5.656 | 11959.2 |
| 477 | 2026-01-29 04:56:55 | speciality | 1 | 67641 | 2 | 1.203 | 56226.9 |
| 476 | 2026-01-27 21:19:01 | speciality | 1 | 67641 | 2 | 1.216 | 55625.8 |
| 475 | 2026-01-24 05:07:22 | speciality | 1 | 67641 | 2 | 1.203 | 56226.9 |
| 474 | 2026-01-19 07:10:28 | speciality | 3 | 140603 | 39 | 6.826 | 20598.2 |
| 473 | 2026-01-16 16:01:49 | speciality | 1 | 67641 | 2 | 1.203 | 56226.9 |
| 472 | 2026-01-16 07:59:32 | speciality | 1 | 67641 | 2 | 2.813 | 24045.9 |
| 471 | 2026-01-12 15:16:27 | speciality | 2 | 108824 | 11 | 15.610 | 6971.4 |
| 470 | 2026-01-11 09:54:25 | speciality | 1 | 67641 | 2 | 1.046 | 64666.3 |
| 469 | 2026-01-10 22:34:30 | speciality | 1 | 67641 | 2 | 2.140 | 31607.9 |
| 468 | 2026-01-03 18:36:36 | speciality | 1 | 67641 | 2 | 1.170 | 57812.8 |
| 467 | 2025-12-29 03:39:46 | speciality | 1 | 67641 | 2 | 1.296 | 52192.1 |
| 466 | 2025-12-28 10:31:22 | speciality | 1 | 67641 | 2 | 1.110 | 60937.8 |
| 465 | 2025-12-24 06:16:16 | speciality | 1 | 67641 | 2 | 2.140 | 31607.9 |
| 464 | 2025-12-24 06:16:15 | speciality | 1 | 67641 | 2 | 2.670 | 25333.7 |
| 463 | 2025-12-18 09:31:24 | speciality | 1 | 67641 | 2 | 2.533 | 26703.9 |
| 462 | 2025-11-26 13:58:50 | speciality | 1 | 67641 | 2 | 1.190 | 56841.2 |
| 461 | 2025-10-17 05:36:24 | speciality | 1 | 67641 | 2 | 1.216 | 55625.8 |
| 460 | 2025-08-25 08:51:00 | speciality | 1 | 67641 | 2 | 2.966 | 22805.5 |
| 459 | 2025-08-23 07:50:15 | speciality | 1 | 67641 | 2 | 8.360 | 8091.0 |
| 458 | 2025-08-19 11:28:24 | speciality | 1 | 67641 | 2 | 4.076 | 16594.9 |
| 457 | 2025-08-16 10:35:01 | speciality | 1 | 67641 | 2 | 1.080 | 62630.6 |
| 456 | 2025-08-14 13:55:31 | speciality | 4 | 161450 | 150 | 16.766 | 9629.6 |
| 455 | 2025-08-12 05:09:06 | speciality | 4 | 161450 | 150 | 35.440 | 4555.6 |
| 454 | 2025-08-11 07:24:47 | speciality | 4 | 161450 | 150 | 42.830 | 3769.6 |
| 453 | 2025-08-10 20:57:47 | speciality | 3 | 140603 | 39 | 14.703 | 9562.9 |
| 452 | 2025-08-10 20:56:19 | speciality | 2 | 108824 | 11 | 6.516 | 16701.0 |
| 451 | 2025-08-10 04:14:52 | speciality | 2 | 108824 | 11 | 7.286 | 14936.0 |
| 450 | 2025-08-09 15:22:59 | speciality | 1 | 67641 | 2 | 1.156 | 58513.0 |
| 449 | 2025-08-09 05:31:03 | speciality | 1 | 67641 | 2 | 3.313 | 20416.8 |
| 448 | 2025-08-09 05:03:50 | speciality | 1 | 67641 | 2 | 8.220 | 8228.8 |
| 447 | 2025-07-23 07:40:18 | speciality | 1 | 67641 | 2 | 5.376 | 12582.0 |
| 446 | 2025-07-14 09:02:01 | speciality | 3 | 140603 | 39 | 32.516 | 4324.1 |
| 445 | 2025-07-14 06:53:45 | speciality | 3 | 140603 | 39 | 32.970 | 4264.6 |
| 444 | 2025-07-13 20:55:15 | speciality | 2 | 108824 | 11 | 10.720 | 10151.5 |
| 443 | 2025-07-13 09:56:21 | speciality | 1 | 67641 | 2 | 1.860 | 36366.1 |
| 442 | 2025-07-12 21:45:38 | speciality | 1 | 67641 | 2 | 1.233 | 54858.9 |
| 441 | 2025-06-18 10:59:15 | speciality | 1 | 67641 | 2 | 3.033 | 22301.7 |
| 440 | 2025-06-08 09:13:04 | speciality | 1 | 67641 | 2 | 2.893 | 23380.9 |
| 439 | 2025-06-07 21:54:12 | speciality | 1 | 67641 | 2 | 5.580 | 12122.0 |
| 438 | 2025-06-06 04:25:57 | speciality | 3 | 140603 | 39 | 28.610 | 4914.5 |
| 437 | 2025-06-04 14:08:21 | speciality | 3 | 140603 | 39 | 30.313 | 4638.4 |
| 436 | 2025-06-03 21:23:16 | speciality | 3 | 140603 | 39 | 37.316 | 3767.9 |
| 435 | 2025-06-03 19:59:48 | speciality | 2 | 108824 | 11 | 15.763 | 6903.8 |
| 434 | 2025-06-03 08:25:07 | speciality | 1 | 67641 | 2 | 6.033 | 11211.8 |
| 433 | 2025-05-27 04:51:43 | speciality | 1 | 67641 | 2 | 5.546 | 12196.4 |
| 432 | 2025-05-06 05:16:26 | speciality | 3 | 140603 | 39 | 37.143 | 3785.5 |
| 431 | 2025-05-01 21:15:45 | speciality | 1 | 67641 | 2 | 5.796 | 11670.3 |
| 430 | 2025-04-26 10:21:30 | speciality | 3 | 140603 | 39 | 25.560 | 5500.9 |
| 429 | 2025-04-25 20:11:06 | speciality | 3 | 140603 | 39 | 20.156 | 6975.7 |
| 428 | 2025-04-24 23:02:09 | speciality | 3 | 140603 | 39 | 18.016 | 7804.3 |
| 427 | 2025-04-21 14:40:54 | speciality | 3 | 140603 | 39 | 38.876 | 3616.7 |
| 426 | 2025-04-21 04:06:05 | speciality | 3 | 140603 | 39 | 42.686 | 3293.9 |
| 425 | 2025-04-20 08:07:32 | speciality | 1 | 67641 | 2 | 1.546 | 43752.3 |
| 424 | 2025-03-25 12:07:24 | speciality | 1 | 67641 | 2 | 3.893 | 17375.0 |
| 423 | 2025-03-23 00:08:58 | speciality | 3 | 140603 | 39 | 34.316 | 4097.3 |
| 422 | 2025-03-20 22:13:10 | speciality | 1 | 67641 | 2 | 6.813 | 9928.2 |
| 421 | 2025-03-14 00:42:59 | speciality | 3 | 140603 | 39 | 34.673 | 4055.1 |
| 420 | 2025-03-12 02:10:27 | speciality | 3 | 140603 | 39 | 50.550 | 2781.5 |
| 419 | 2025-03-07 18:04:27 | speciality | 1 | 67641 | 2 | 6.953 | 9728.3 |
| 418 | 2025-03-06 19:59:32 | speciality | 3 | 140603 | 39 | 59.853 | 2349.1 |
| 417 | 2025-02-26 17:16:53 | speciality | 1 | 67641 | 2 | 1.920 | 35229.7 |
| 416 | 2025-02-04 02:24:23 | speciality | 1 | 67641 | 2 | 5.856 | 11550.7 |
| 415 | 2025-01-25 10:07:36 | speciality | 2 | 108824 | 11 | 16.296 | 6678.0 |
| 414 | 2025-01-25 09:46:03 | speciality | 1 | 67641 | 2 | 2.920 | 23164.7 |
| 413 | 2025-01-25 09:45:17 | speciality | 3 | 140603 | 39 | 37.720 | 3727.5 |
| 412 | 2025-01-22 21:29:05 | speciality | 3 | 140603 | 39 | 49.470 | 2842.2 |
| 411 | 2025-01-22 07:13:17 | speciality | 3 | 140603 | 39 | 41.236 | 3409.7 |
| 410 | 2025-01-20 16:27:34 | speciality | 3 | 140603 | 39 | 38.613 | 3641.3 |
| 409 | 2025-01-18 15:26:16 | speciality | 4 | 161450 | 150 | 59.206 | 2726.9 |
| 408 | 2025-01-18 15:25:22 | speciality | 2 | 108824 | 11 | 21.016 | 5178.1 |