History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"ancillary"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 517 | 2026-01-01 12:36:47 | ancillary | 1 | 81242 | 1 | 1.486 | 54671.6 |
| 516 | 2025-12-29 06:48:32 | ancillary | 1 | 81242 | 1 | 1.453 | 55913.3 |
| 515 | 2025-12-28 10:23:57 | ancillary | 2 | 121436 | 7 | 3.190 | 38067.7 |
| 514 | 2025-12-27 07:00:25 | ancillary | 1 | 81242 | 1 | 1.483 | 54782.2 |
| 513 | 2025-12-26 13:16:35 | ancillary | 2 | 121436 | 7 | 3.280 | 37023.2 |
| 512 | 2025-12-26 03:11:24 | ancillary | 3 | 148641 | 24 | 7.186 | 20684.8 |
| 511 | 2025-12-25 10:09:44 | ancillary | 3 | 148641 | 24 | 11.733 | 12668.6 |
| 510 | 2025-12-24 09:55:12 | ancillary | 2 | 121436 | 7 | 3.623 | 33518.1 |
| 509 | 2025-12-23 15:38:06 | ancillary | 3 | 148641 | 24 | 7.626 | 19491.3 |
| 508 | 2025-12-22 20:42:18 | ancillary | 1 | 81242 | 1 | 1.466 | 55417.5 |
| 507 | 2025-12-07 19:59:01 | ancillary | 1 | 81242 | 1 | 2.780 | 29223.7 |
| 506 | 2025-12-01 11:28:22 | ancillary | 3 | 148641 | 24 | 7.500 | 19818.8 |
| 505 | 2025-12-01 06:51:22 | ancillary | 2 | 121436 | 7 | 6.500 | 18682.5 |
| 504 | 2025-11-30 10:26:05 | ancillary | 1 | 81242 | 1 | 1.436 | 56575.2 |
| 503 | 2025-11-30 01:46:42 | ancillary | 1 | 81242 | 1 | 1.516 | 53589.7 |
| 502 | 2025-11-29 00:02:11 | ancillary | 3 | 148641 | 24 | 10.750 | 13827.1 |
| 501 | 2025-11-28 12:39:25 | ancillary | 4 | 165329 | 149 | 12.640 | 13079.8 |
| 500 | 2025-11-26 04:18:19 | ancillary | 4 | 165329 | 149 | 19.893 | 8310.9 |
| 499 | 2025-11-25 07:13:45 | ancillary | 2 | 121436 | 7 | 8.280 | 14666.2 |
| 498 | 2025-11-24 14:41:31 | ancillary | 4 | 165329 | 149 | 14.110 | 11717.2 |
| 497 | 2025-11-24 07:06:25 | ancillary | 4 | 165329 | 149 | 18.030 | 9169.7 |
| 496 | 2025-11-24 06:15:08 | ancillary | 3 | 148641 | 24 | 22.720 | 6542.3 |
| 495 | 2025-11-24 06:09:37 | ancillary | 3 | 148641 | 24 | 7.830 | 18983.5 |
| 494 | 2025-11-23 22:16:19 | ancillary | 1 | 81242 | 1 | 1.483 | 54782.2 |
| 493 | 2025-11-23 19:50:43 | ancillary | 2 | 121436 | 7 | 3.563 | 34082.5 |
| 492 | 2025-11-23 19:48:40 | ancillary | 1 | 81242 | 1 | 6.783 | 11977.3 |
| 491 | 2025-11-23 08:19:57 | ancillary | 1 | 81242 | 1 | 1.453 | 55913.3 |
| 490 | 2025-11-23 00:03:06 | ancillary | 4 | 165329 | 149 | 57.003 | 2900.4 |
| 489 | 2025-11-22 22:49:40 | ancillary | 1 | 81242 | 1 | 1.530 | 53099.3 |
| 488 | 2025-11-22 19:23:15 | ancillary | 4 | 165329 | 149 | 33.296 | 4965.4 |
| 487 | 2025-11-22 14:32:34 | ancillary | 4 | 165329 | 149 | 16.300 | 10142.9 |
| 486 | 2025-11-22 09:24:15 | ancillary | 2 | 121436 | 7 | 3.796 | 31990.5 |
| 485 | 2025-11-22 08:59:21 | ancillary | 4 | 165329 | 149 | 11.013 | 15012.2 |
| 484 | 2025-11-21 14:30:40 | ancillary | 2 | 121436 | 7 | 3.876 | 31330.2 |
| 483 | 2025-11-21 10:18:04 | ancillary | 3 | 148641 | 24 | 7.170 | 20731.0 |
| 482 | 2025-11-21 05:43:00 | ancillary | 3 | 148641 | 24 | 10.046 | 14796.0 |
| 481 | 2025-11-21 03:48:43 | ancillary | 4 | 165329 | 149 | 26.470 | 6245.9 |
| 480 | 2025-11-20 05:09:40 | ancillary | 1 | 81242 | 1 | 1.890 | 42985.2 |
| 479 | 2025-11-16 15:18:49 | ancillary | 1 | 81242 | 1 | 5.233 | 15524.9 |
| 478 | 2025-11-09 08:47:11 | ancillary | 3 | 148641 | 24 | 7.060 | 21054.0 |
| 477 | 2025-11-08 03:43:31 | ancillary | 2 | 121436 | 7 | 3.750 | 32382.9 |
| 476 | 2025-11-02 17:15:37 | ancillary | 2 | 121436 | 7 | 3.203 | 37913.2 |
| 475 | 2025-10-31 12:30:26 | ancillary | 3 | 148641 | 24 | 7.516 | 19776.6 |
| 474 | 2025-10-31 08:12:34 | ancillary | 2 | 121436 | 7 | 3.513 | 34567.6 |
| 473 | 2025-10-30 11:41:34 | ancillary | 1 | 81242 | 1 | 1.450 | 56029.0 |
| 472 | 2025-10-30 02:17:25 | ancillary | 1 | 81242 | 1 | 1.440 | 56418.1 |
| 471 | 2025-10-22 16:09:26 | ancillary | 1 | 81242 | 1 | 3.453 | 23527.9 |
| 470 | 2025-10-22 16:09:20 | ancillary | 1 | 81242 | 1 | 3.516 | 23106.4 |
| 469 | 2025-10-22 16:09:14 | ancillary | 1 | 81242 | 1 | 6.673 | 12174.7 |
| 468 | 2025-10-22 16:09:07 | ancillary | 1 | 81242 | 1 | 6.686 | 12151.1 |
| 467 | 2025-10-18 15:58:53 | ancillary | 4 | 165329 | 149 | 11.906 | 13886.2 |
| 466 | 2025-10-18 09:50:05 | ancillary | 4 | 165329 | 149 | 10.846 | 15243.3 |
| 465 | 2025-10-18 01:30:28 | ancillary | 4 | 165329 | 149 | 12.596 | 13125.5 |
| 464 | 2025-10-17 20:28:56 | ancillary | 4 | 165329 | 149 | 19.860 | 8324.7 |
| 463 | 2025-10-17 08:36:31 | ancillary | 4 | 165329 | 149 | 12.690 | 13028.3 |
| 462 | 2025-10-16 16:43:22 | ancillary | 4 | 165329 | 149 | 13.280 | 12449.5 |
| 461 | 2025-10-16 07:22:07 | ancillary | 3 | 148641 | 24 | 6.436 | 23095.2 |
| 460 | 2025-10-15 21:32:23 | ancillary | 2 | 121436 | 7 | 3.310 | 36687.6 |
| 459 | 2025-10-14 23:43:36 | ancillary | 1 | 81242 | 1 | 1.266 | 64172.2 |
| 458 | 2025-10-14 08:18:00 | ancillary | 2 | 121436 | 7 | 3.690 | 32909.5 |
| 457 | 2025-10-14 07:22:15 | ancillary | 3 | 148641 | 24 | 7.266 | 20457.1 |
| 456 | 2025-10-12 23:12:18 | ancillary | 1 | 81242 | 1 | 1.436 | 56575.2 |
| 455 | 2025-10-08 06:27:45 | ancillary | 3 | 148641 | 24 | 6.750 | 22020.9 |
| 454 | 2025-10-07 17:47:26 | ancillary | 2 | 121436 | 7 | 3.110 | 39046.9 |
| 453 | 2025-10-07 12:49:55 | ancillary | 3 | 148641 | 24 | 7.263 | 20465.5 |
| 452 | 2025-10-07 02:05:35 | ancillary | 3 | 148641 | 24 | 6.360 | 23371.2 |
| 451 | 2025-10-06 16:31:11 | ancillary | 2 | 121436 | 7 | 3.203 | 37913.2 |
| 450 | 2025-10-05 19:56:08 | ancillary | 2 | 121436 | 7 | 3.813 | 31847.9 |
| 449 | 2025-10-05 05:07:20 | ancillary | 1 | 81242 | 1 | 1.296 | 62686.7 |
| 448 | 2025-09-29 12:01:33 | ancillary | 1 | 81242 | 1 | 1.376 | 59042.2 |
| 447 | 2025-09-29 02:23:46 | ancillary | 1 | 81242 | 1 | 1.330 | 61084.2 |
| 446 | 2025-09-28 21:50:02 | ancillary | 4 | 165329 | 149 | 12.016 | 13759.1 |
| 445 | 2025-09-27 21:26:02 | ancillary | 1 | 81242 | 1 | 1.440 | 56418.1 |
| 444 | 2025-09-26 08:09:23 | ancillary | 1 | 81242 | 1 | 1.403 | 57905.9 |
| 443 | 2025-09-25 06:14:23 | ancillary | 4 | 165329 | 149 | 48.203 | 3429.8 |
| 442 | 2025-09-22 18:07:44 | ancillary | 3 | 148641 | 24 | 6.876 | 21617.4 |
| 441 | 2025-09-22 00:41:50 | ancillary | 1 | 81242 | 1 | 1.393 | 58321.6 |
| 440 | 2025-09-19 05:09:18 | ancillary | 4 | 165329 | 149 | 11.826 | 13980.1 |
| 439 | 2025-09-17 17:45:00 | ancillary | 4 | 165329 | 149 | 14.486 | 11413.0 |
| 438 | 2025-09-16 01:13:18 | ancillary | 4 | 165329 | 149 | 12.203 | 13548.2 |
| 437 | 2025-09-15 19:29:51 | ancillary | 4 | 165329 | 149 | 18.330 | 9019.6 |
| 436 | 2025-09-15 19:27:26 | ancillary | 4 | 165329 | 149 | 19.750 | 8371.1 |
| 435 | 2025-09-15 15:08:01 | ancillary | 4 | 165329 | 149 | 12.626 | 13094.3 |
| 434 | 2025-09-15 10:29:13 | ancillary | 4 | 165329 | 149 | 11.486 | 14394.0 |
| 433 | 2025-09-15 09:41:13 | ancillary | 4 | 165329 | 149 | 13.326 | 12406.5 |
| 432 | 2025-09-15 06:59:05 | ancillary | 3 | 148641 | 24 | 6.530 | 22762.8 |
| 431 | 2025-09-14 21:22:43 | ancillary | 2 | 121436 | 7 | 3.500 | 34696.0 |
| 430 | 2025-09-14 00:02:00 | ancillary | 1 | 81242 | 1 | 1.546 | 52549.8 |
| 429 | 2025-09-13 18:59:34 | ancillary | 4 | 165329 | 149 | 12.080 | 13686.2 |
| 428 | 2025-09-12 13:33:10 | ancillary | 3 | 148641 | 24 | 7.796 | 19066.3 |
| 427 | 2025-09-12 00:09:16 | ancillary | 3 | 148641 | 24 | 7.310 | 20333.9 |
| 426 | 2025-09-11 23:33:01 | ancillary | 1 | 81242 | 1 | 1.440 | 56418.1 |
| 425 | 2025-09-10 08:17:27 | ancillary | 2 | 121436 | 7 | 3.126 | 38847.1 |
| 424 | 2025-09-10 07:18:30 | ancillary | 3 | 148641 | 24 | 7.640 | 19455.6 |
| 423 | 2025-09-09 23:32:39 | ancillary | 3 | 148641 | 24 | 7.346 | 20234.3 |
| 422 | 2025-09-09 17:46:42 | ancillary | 3 | 148641 | 24 | 6.970 | 21325.8 |
| 421 | 2025-09-08 23:20:49 | ancillary | 1 | 81242 | 1 | 1.483 | 54782.2 |
| 420 | 2025-09-07 17:54:27 | ancillary | 3 | 148641 | 24 | 7.060 | 21054.0 |
| 419 | 2025-09-07 03:02:53 | ancillary | 2 | 121436 | 7 | 3.560 | 34111.2 |
| 418 | 2025-09-06 05:30:57 | ancillary | 2 | 121436 | 7 | 3.423 | 35476.5 |