History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"bestrows"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 531 | 2025-10-11 12:45:29 | bestrows | 1 | 82945 | 5 | 1.466 | 56579.1 |
| 530 | 2025-10-03 19:19:55 | bestrows | 1 | 82945 | 5 | 1.516 | 54713.1 |
| 529 | 2025-09-27 07:44:48 | bestrows | 1 | 82945 | 5 | 1.486 | 55817.6 |
| 528 | 2025-08-27 09:06:33 | bestrows | 1 | 82945 | 5 | 3.000 | 27648.3 |
| 527 | 2025-08-26 19:05:28 | bestrows | 1 | 82945 | 5 | 1.580 | 52496.8 |
| 526 | 2025-08-21 12:28:07 | bestrows | 1 | 82945 | 5 | 3.466 | 23931.0 |
| 525 | 2025-08-14 12:55:54 | bestrows | 1 | 82945 | 5 | 1.456 | 56967.7 |
| 524 | 2025-07-24 23:00:09 | bestrows | 1 | 82945 | 5 | 5.436 | 15258.5 |
| 523 | 2025-07-24 08:26:37 | bestrows | 1 | 82945 | 5 | 9.406 | 8818.3 |
| 522 | 2025-07-22 21:01:43 | bestrows | 1 | 82945 | 5 | 3.203 | 25896.0 |
| 521 | 2025-07-22 20:42:02 | bestrows | 1 | 82945 | 5 | 3.580 | 23169.0 |
| 520 | 2025-07-07 21:12:46 | bestrows | 3 | 146162 | 128 | 37.270 | 3921.7 |
| 519 | 2025-07-07 18:57:25 | bestrows | 1 | 82945 | 5 | 3.173 | 26140.9 |
| 518 | 2025-07-07 05:07:20 | bestrows | 2 | 121059 | 19 | 17.063 | 7094.8 |
| 517 | 2025-07-06 21:26:03 | bestrows | 2 | 121059 | 19 | 10.156 | 11919.9 |
| 516 | 2025-07-06 21:01:18 | bestrows | 3 | 146162 | 128 | 11.266 | 12973.7 |
| 515 | 2025-07-06 13:54:26 | bestrows | 1 | 82945 | 5 | 1.343 | 61761.0 |
| 514 | 2025-07-06 10:27:16 | bestrows | 1 | 82945 | 5 | 1.546 | 53651.4 |
| 513 | 2025-06-25 16:49:30 | bestrows | 3 | 146162 | 128 | 7.923 | 18447.8 |
| 512 | 2025-06-24 22:06:41 | bestrows | 2 | 121059 | 19 | 3.640 | 33258.0 |
| 511 | 2025-06-24 13:18:12 | bestrows | 1 | 82945 | 5 | 7.876 | 10531.4 |
| 510 | 2025-06-23 19:15:19 | bestrows | 1 | 82945 | 5 | 1.453 | 57085.3 |
| 509 | 2025-06-20 05:49:30 | bestrows | 1 | 82945 | 5 | 4.140 | 20035.0 |
| 508 | 2025-06-13 20:37:14 | bestrows | 3 | 146162 | 128 | 34.533 | 4232.5 |
| 507 | 2025-06-04 15:14:53 | bestrows | 1 | 82945 | 5 | 6.580 | 12605.6 |
| 506 | 2025-05-31 05:35:25 | bestrows | 1 | 82945 | 5 | 3.733 | 22219.4 |
| 505 | 2025-05-27 19:30:54 | bestrows | 2 | 121059 | 19 | 4.016 | 30144.2 |
| 504 | 2025-05-25 21:21:35 | bestrows | 3 | 146162 | 128 | 8.170 | 17890.1 |
| 503 | 2025-05-23 16:35:43 | bestrows | 3 | 146162 | 128 | 20.063 | 7285.2 |
| 502 | 2025-05-22 22:15:13 | bestrows | 2 | 121059 | 19 | 3.733 | 32429.4 |
| 501 | 2025-05-21 20:27:28 | bestrows | 1 | 82945 | 5 | 9.670 | 8577.6 |
| 500 | 2025-05-21 19:01:11 | bestrows | 1 | 82945 | 5 | 1.830 | 45325.1 |
| 499 | 2025-05-20 13:17:45 | bestrows | 1 | 82945 | 5 | 5.830 | 14227.3 |
| 498 | 2025-05-09 06:37:04 | bestrows | 1 | 82945 | 5 | 2.950 | 28116.9 |
| 497 | 2025-05-08 13:52:28 | bestrows | 1 | 82945 | 5 | 7.843 | 10575.7 |
| 496 | 2025-05-07 18:11:08 | bestrows | 1 | 82945 | 5 | 3.016 | 27501.7 |
| 495 | 2025-04-24 09:15:12 | bestrows | 1 | 82945 | 5 | 7.186 | 11542.6 |
| 494 | 2025-04-23 05:57:59 | bestrows | 1 | 82945 | 5 | 6.513 | 12735.3 |
| 493 | 2025-04-20 18:49:03 | bestrows | 1 | 82945 | 5 | 5.470 | 15163.6 |
| 492 | 2025-04-09 07:36:45 | bestrows | 2 | 121059 | 19 | 18.500 | 6543.7 |
| 491 | 2025-04-08 04:25:15 | bestrows | 1 | 82945 | 5 | 5.580 | 14864.7 |
| 490 | 2025-04-04 12:10:05 | bestrows | 1 | 82945 | 5 | 6.953 | 11929.4 |
| 489 | 2025-03-26 14:05:45 | bestrows | 1 | 82945 | 5 | 1.390 | 59672.7 |
| 488 | 2025-03-21 18:42:47 | bestrows | 3 | 146162 | 128 | 49.030 | 2981.1 |
| 487 | 2025-03-21 04:11:30 | bestrows | 2 | 121059 | 19 | 26.283 | 4606.0 |
| 486 | 2025-03-19 19:55:43 | bestrows | 1 | 82945 | 5 | 1.330 | 62364.7 |
| 485 | 2025-03-19 10:14:01 | bestrows | 1 | 82945 | 5 | 1.500 | 55296.7 |
| 484 | 2025-03-04 20:52:46 | bestrows | 1 | 82945 | 5 | 13.373 | 6202.4 |
| 483 | 2025-03-01 19:23:43 | bestrows | 3 | 146162 | 128 | 39.563 | 3694.4 |
| 482 | 2025-02-28 07:58:08 | bestrows | 3 | 146162 | 128 | 38.270 | 3819.2 |
| 481 | 2025-02-28 07:58:04 | bestrows | 2 | 121059 | 19 | 18.546 | 6527.5 |
| 480 | 2025-02-28 06:58:18 | bestrows | 2 | 121059 | 19 | 13.033 | 9288.7 |
| 479 | 2025-02-27 21:57:06 | bestrows | 3 | 146162 | 128 | 41.800 | 3496.7 |
| 478 | 2025-02-27 20:19:26 | bestrows | 3 | 146162 | 128 | 32.220 | 4536.4 |
| 477 | 2025-02-27 11:41:00 | bestrows | 3 | 146162 | 128 | 43.880 | 3330.9 |
| 476 | 2025-02-27 11:41:00 | bestrows | 2 | 121059 | 19 | 28.140 | 4302.0 |
| 475 | 2025-02-27 10:11:41 | bestrows | 1 | 82945 | 5 | 10.313 | 8042.8 |
| 474 | 2025-02-17 04:19:36 | bestrows | 1 | 82945 | 5 | 7.093 | 11693.9 |
| 473 | 2025-02-08 14:41:31 | bestrows | 1 | 82945 | 5 | 5.283 | 15700.4 |
| 472 | 2025-02-04 19:56:36 | bestrows | 1 | 82945 | 5 | 9.720 | 8533.4 |
| 471 | 2025-01-26 16:20:49 | bestrows | 1 | 82945 | 5 | 6.796 | 12205.0 |
| 470 | 2025-01-03 19:49:45 | bestrows | 1 | 82945 | 5 | 3.873 | 21416.2 |
| 469 | 2024-12-26 20:45:34 | bestrows | 1 | 82945 | 5 | 7.546 | 10991.9 |
| 468 | 2024-11-29 01:15:40 | bestrows | 1 | 82945 | 5 | 3.703 | 22399.4 |
| 467 | 2024-11-27 17:18:05 | bestrows | 3 | 146162 | 128 | 33.763 | 4329.1 |
| 466 | 2024-11-27 11:59:01 | bestrows | 3 | 146162 | 128 | 43.566 | 3355.0 |
| 465 | 2024-11-26 03:20:47 | bestrows | 3 | 146162 | 128 | 6.750 | 21653.6 |
| 464 | 2024-11-25 10:58:39 | bestrows | 1 | 82945 | 5 | 6.796 | 12205.0 |
| 463 | 2024-11-19 16:16:55 | bestrows | 3 | 146162 | 128 | 32.876 | 4445.9 |
| 462 | 2024-10-29 01:28:10 | bestrows | 2 | 121059 | 19 | 3.940 | 30725.6 |
| 461 | 2024-10-29 01:28:08 | bestrows | 1 | 82945 | 5 | 1.360 | 60989.0 |
| 460 | 2024-10-28 17:00:20 | bestrows | 2 | 121059 | 19 | 22.343 | 5418.2 |
| 459 | 2024-10-28 17:00:10 | bestrows | 1 | 82945 | 5 | 4.420 | 18765.8 |
| 458 | 2024-10-28 02:31:19 | bestrows | 2 | 121059 | 19 | 3.953 | 30624.6 |
| 457 | 2024-10-27 07:11:47 | bestrows | 3 | 146162 | 128 | 31.826 | 4592.5 |
| 456 | 2024-10-26 11:27:27 | bestrows | 3 | 146162 | 128 | 30.706 | 4760.0 |
| 455 | 2024-10-25 23:54:18 | bestrows | 3 | 146162 | 128 | 20.766 | 7038.5 |
| 454 | 2024-10-25 15:26:36 | bestrows | 3 | 146162 | 128 | 18.936 | 7718.7 |
| 453 | 2024-10-25 15:26:36 | bestrows | 2 | 121059 | 19 | 9.610 | 12597.2 |
| 452 | 2024-10-25 15:26:05 | bestrows | 1 | 82945 | 5 | 6.970 | 11900.3 |
| 451 | 2024-10-02 10:30:05 | bestrows | 1 | 82945 | 5 | 6.516 | 12729.4 |
| 450 | 2024-09-24 06:28:10 | bestrows | 1 | 82945 | 5 | 14.380 | 5768.1 |
| 449 | 2024-09-14 22:46:44 | bestrows | 2 | 121059 | 19 | 24.753 | 4890.7 |
| 448 | 2024-09-14 22:45:32 | bestrows | 1 | 82945 | 5 | 16.173 | 5128.6 |
| 447 | 2024-09-09 20:29:32 | bestrows | 1 | 82945 | 5 | 6.530 | 12702.1 |
| 446 | 2024-09-03 16:34:55 | bestrows | 3 | 146162 | 128 | 64.300 | 2273.1 |
| 445 | 2024-08-27 06:25:59 | bestrows | 3 | 146162 | 128 | 64.380 | 2270.3 |
| 444 | 2024-08-25 11:45:16 | bestrows | 3 | 146162 | 128 | 73.926 | 1977.1 |
| 443 | 2024-08-24 17:48:24 | bestrows | 3 | 146162 | 128 | 29.970 | 4876.9 |
| 442 | 2024-08-24 16:47:27 | bestrows | 1 | 82945 | 5 | 8.033 | 10325.5 |
| 441 | 2024-08-16 00:12:15 | bestrows | 1 | 82945 | 5 | 10.050 | 8253.2 |
| 440 | 2024-08-09 08:49:33 | bestrows | 1 | 82945 | 5 | 2.516 | 32967.0 |
| 439 | 2024-08-04 05:02:34 | bestrows | 2 | 121059 | 19 | 18.440 | 6565.0 |
| 438 | 2024-08-02 09:55:02 | bestrows | 2 | 121059 | 19 | 12.906 | 9380.1 |
| 437 | 2024-08-02 09:54:52 | bestrows | 1 | 82945 | 5 | 4.830 | 17172.9 |
| 436 | 2024-07-25 07:12:40 | bestrows | 1 | 82945 | 5 | 5.220 | 15889.8 |
| 435 | 2024-07-21 02:06:19 | bestrows | 2 | 121059 | 19 | 20.440 | 5922.7 |
| 434 | 2024-07-21 02:06:10 | bestrows | 3 | 146162 | 128 | 23.860 | 6125.8 |
| 433 | 2024-07-21 02:04:48 | bestrows | 1 | 82945 | 5 | 7.156 | 11591.0 |
| 432 | 2024-07-18 02:17:41 | bestrows | 2 | 121059 | 19 | 13.860 | 8734.4 |