History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"averageness"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 536 | 2025-11-03 21:38:50 | averageness | 5 | 164607 | 492 | 40.626 | 4051.8 |
| 535 | 2025-10-29 03:32:42 | averageness | 5 | 164607 | 492 | 14.123 | 11655.2 |
| 534 | 2025-10-19 14:58:54 | averageness | 1 | 49908 | 1 | 3.546 | 14074.5 |
| 533 | 2025-10-14 06:16:34 | averageness | 1 | 49908 | 1 | 0.800 | 62385.0 |
| 532 | 2025-10-09 15:56:52 | averageness | 5 | 164607 | 492 | 22.580 | 7289.9 |
| 531 | 2025-10-08 15:07:09 | averageness | 1 | 49908 | 1 | 0.860 | 58032.6 |
| 530 | 2025-10-05 03:14:04 | averageness | 5 | 164607 | 492 | 16.596 | 9918.5 |
| 529 | 2025-10-04 21:41:18 | averageness | 1 | 49908 | 1 | 0.780 | 63984.6 |
| 528 | 2025-08-15 16:26:35 | averageness | 1 | 49908 | 1 | 1.966 | 25385.6 |
| 527 | 2025-08-15 11:01:02 | averageness | 1 | 49908 | 1 | 3.500 | 14259.4 |
| 526 | 2025-08-14 13:43:33 | averageness | 1 | 49908 | 1 | 0.846 | 58992.9 |
| 525 | 2025-08-12 00:49:02 | averageness | 2 | 86808 | 3 | 5.313 | 16338.8 |
| 524 | 2025-08-09 05:26:10 | averageness | 1 | 49908 | 1 | 4.046 | 12335.1 |
| 523 | 2025-08-09 04:40:08 | averageness | 1 | 49908 | 1 | 5.936 | 8407.7 |
| 522 | 2025-08-06 20:16:41 | averageness | 5 | 164607 | 492 | 50.020 | 3290.8 |
| 521 | 2025-08-06 06:18:47 | averageness | 5 | 164607 | 492 | 52.033 | 3163.5 |
| 520 | 2025-08-02 08:38:38 | averageness | 4 | 148819 | 58 | 23.390 | 6362.5 |
| 519 | 2025-08-02 07:56:55 | averageness | 5 | 164607 | 492 | 71.473 | 2303.1 |
| 518 | 2025-07-31 06:54:19 | averageness | 1 | 49908 | 1 | 0.873 | 57168.4 |
| 517 | 2025-07-24 20:02:17 | averageness | 1 | 49908 | 1 | 1.720 | 29016.3 |
| 516 | 2025-07-24 00:42:10 | averageness | 1 | 49908 | 1 | 4.610 | 10826.0 |
| 515 | 2025-07-17 08:36:41 | averageness | 1 | 49908 | 1 | 1.720 | 29016.3 |
| 514 | 2025-07-16 13:45:53 | averageness | 4 | 148819 | 58 | 22.000 | 6764.5 |
| 513 | 2025-07-16 12:44:03 | averageness | 4 | 148819 | 58 | 45.156 | 3295.7 |
| 512 | 2025-07-15 22:35:01 | averageness | 4 | 148819 | 58 | 43.626 | 3411.2 |
| 511 | 2025-07-14 17:18:53 | averageness | 2 | 86808 | 3 | 10.860 | 7993.4 |
| 510 | 2025-07-14 09:19:27 | averageness | 4 | 148819 | 58 | 44.723 | 3327.6 |
| 509 | 2025-07-14 08:10:45 | averageness | 5 | 164607 | 492 | 81.973 | 2008.1 |
| 508 | 2025-07-14 06:20:16 | averageness | 1 | 49908 | 1 | 4.560 | 10944.7 |
| 507 | 2025-07-13 16:08:01 | averageness | 1 | 49908 | 1 | 4.140 | 12055.1 |
| 506 | 2025-07-02 03:58:18 | averageness | 1 | 49908 | 1 | 3.013 | 16564.2 |
| 505 | 2025-06-28 09:26:33 | averageness | 1 | 49908 | 1 | 3.890 | 12829.8 |
| 504 | 2025-06-19 22:53:15 | averageness | 1 | 49908 | 1 | 4.063 | 12283.5 |
| 503 | 2025-06-11 15:11:02 | averageness | 1 | 49908 | 1 | 3.703 | 13477.7 |
| 502 | 2025-06-10 05:10:53 | averageness | 1 | 49908 | 1 | 1.843 | 27079.8 |
| 501 | 2025-06-08 05:29:55 | averageness | 1 | 49908 | 1 | 6.156 | 8107.2 |
| 500 | 2025-06-04 11:01:19 | averageness | 1 | 49908 | 1 | 3.826 | 13044.4 |
| 499 | 2025-05-19 23:04:22 | averageness | 1 | 49908 | 1 | 4.253 | 11734.8 |
| 498 | 2025-05-06 04:43:05 | averageness | 1 | 49908 | 1 | 3.793 | 13157.9 |
| 497 | 2025-04-20 04:27:07 | averageness | 1 | 49908 | 1 | 5.563 | 8971.4 |
| 496 | 2025-04-17 21:17:09 | averageness | 1 | 49908 | 1 | 4.466 | 11175.1 |
| 495 | 2025-04-13 01:38:18 | averageness | 1 | 49908 | 1 | 0.750 | 66544.0 |
| 494 | 2025-03-24 23:24:08 | averageness | 3 | 121633 | 8 | 14.703 | 8272.7 |
| 493 | 2025-03-24 02:11:02 | averageness | 3 | 121633 | 8 | 20.893 | 5821.7 |
| 492 | 2025-03-20 07:58:34 | averageness | 3 | 121633 | 8 | 26.800 | 4538.5 |
| 491 | 2025-03-10 18:16:02 | averageness | 4 | 148819 | 58 | 28.813 | 5165.0 |
| 490 | 2025-03-08 19:31:28 | averageness | 4 | 148819 | 58 | 66.256 | 2246.1 |
| 489 | 2025-03-06 19:14:50 | averageness | 4 | 148819 | 58 | 39.473 | 3770.1 |
| 488 | 2025-03-04 21:43:01 | averageness | 4 | 148819 | 58 | 52.100 | 2856.4 |
| 487 | 2025-03-04 21:42:52 | averageness | 4 | 148819 | 58 | 45.336 | 3282.6 |
| 486 | 2025-03-04 21:43:00 | averageness | 3 | 121633 | 8 | 16.910 | 7193.0 |
| 485 | 2025-03-04 21:42:57 | averageness | 2 | 86808 | 3 | 8.500 | 10212.7 |
| 484 | 2025-03-04 21:41:06 | averageness | 1 | 49908 | 1 | 2.686 | 18580.8 |
| 483 | 2025-02-28 15:35:08 | averageness | 1 | 49908 | 1 | 4.356 | 11457.3 |
| 482 | 2025-02-16 09:35:27 | averageness | 1 | 49908 | 1 | 3.733 | 13369.4 |
| 481 | 2025-02-06 12:24:15 | averageness | 1 | 49908 | 1 | 1.796 | 27788.4 |
| 480 | 2025-01-31 01:59:43 | averageness | 4 | 148819 | 58 | 67.596 | 2201.6 |
| 479 | 2025-01-31 02:00:12 | averageness | 2 | 86808 | 3 | 5.373 | 16156.3 |
| 478 | 2025-01-31 01:58:43 | averageness | 1 | 49908 | 1 | 3.733 | 13369.4 |
| 477 | 2025-01-29 21:07:46 | averageness | 4 | 148819 | 58 | 47.503 | 3132.8 |
| 476 | 2025-01-25 22:05:24 | averageness | 4 | 148819 | 58 | 41.893 | 3552.4 |
| 475 | 2025-01-25 12:24:51 | averageness | 4 | 148819 | 58 | 25.906 | 5744.6 |
| 474 | 2025-01-23 12:39:57 | averageness | 3 | 121633 | 8 | 24.266 | 5012.5 |
| 473 | 2025-01-17 00:53:23 | averageness | 3 | 121633 | 8 | 19.593 | 6208.0 |
| 472 | 2025-01-17 00:53:27 | averageness | 2 | 86808 | 3 | 11.750 | 7387.9 |
| 471 | 2025-01-17 00:51:57 | averageness | 1 | 49908 | 1 | 3.343 | 14929.1 |
| 470 | 2024-12-15 05:02:54 | averageness | 3 | 121633 | 8 | 32.580 | 3733.4 |
| 469 | 2024-12-15 05:02:57 | averageness | 2 | 86808 | 3 | 10.093 | 8600.8 |
| 468 | 2024-12-15 05:02:38 | averageness | 1 | 49908 | 1 | 3.470 | 14382.7 |
| 467 | 2024-12-15 04:43:51 | averageness | 4 | 148819 | 58 | 55.626 | 2675.3 |
| 466 | 2024-12-15 04:43:43 | averageness | 3 | 121633 | 8 | 24.473 | 4970.1 |
| 465 | 2024-12-15 04:43:47 | averageness | 2 | 86808 | 3 | 6.063 | 14317.7 |
| 464 | 2024-12-15 04:43:35 | averageness | 1 | 49908 | 1 | 1.736 | 28748.8 |
| 463 | 2024-12-05 20:25:14 | averageness | 4 | 148819 | 58 | 57.393 | 2593.0 |
| 462 | 2024-12-03 11:17:13 | averageness | 2 | 86808 | 3 | 16.406 | 5291.2 |
| 461 | 2024-12-03 11:16:35 | averageness | 4 | 148819 | 58 | 41.080 | 3622.7 |
| 460 | 2024-12-03 11:16:17 | averageness | 1 | 49908 | 1 | 3.846 | 12976.6 |
| 459 | 2024-12-02 05:26:42 | averageness | 4 | 148819 | 58 | 59.970 | 2481.6 |
| 458 | 2024-12-01 12:08:35 | averageness | 4 | 148819 | 58 | 54.080 | 2751.8 |
| 457 | 2024-11-30 19:22:41 | averageness | 4 | 148819 | 58 | 66.876 | 2225.3 |
| 456 | 2024-11-30 19:22:43 | averageness | 3 | 121633 | 8 | 24.890 | 4886.8 |
| 455 | 2024-11-30 19:22:44 | averageness | 2 | 86808 | 3 | 7.153 | 12135.9 |
| 454 | 2024-11-30 19:22:13 | averageness | 1 | 49908 | 1 | 4.126 | 12096.0 |
| 453 | 2024-11-29 21:18:17 | averageness | 4 | 148819 | 58 | 55.536 | 2679.7 |
| 452 | 2024-11-10 21:52:08 | averageness | 3 | 121633 | 8 | 28.516 | 4265.4 |
| 451 | 2024-11-08 15:09:20 | averageness | 1 | 49908 | 1 | 3.343 | 14929.1 |
| 450 | 2024-11-08 07:49:43 | averageness | 3 | 121633 | 8 | 38.456 | 3162.9 |
| 449 | 2024-11-08 07:49:44 | averageness | 2 | 86808 | 3 | 17.063 | 5087.5 |
| 448 | 2024-11-08 06:22:19 | averageness | 1 | 49908 | 1 | 0.813 | 61387.5 |
| 447 | 2024-10-25 05:35:05 | averageness | 4 | 148819 | 58 | 40.063 | 3714.6 |
| 446 | 2024-10-23 01:34:25 | averageness | 4 | 148819 | 58 | 47.610 | 3125.8 |
| 445 | 2024-10-22 15:07:11 | averageness | 3 | 121633 | 8 | 26.486 | 4592.4 |
| 444 | 2024-10-21 22:47:12 | averageness | 4 | 148819 | 58 | 49.610 | 2999.8 |
| 443 | 2024-10-21 10:12:09 | averageness | 4 | 148819 | 58 | 23.093 | 6444.3 |
| 442 | 2024-10-20 23:19:15 | averageness | 3 | 121633 | 8 | 25.016 | 4862.2 |
| 441 | 2024-10-20 23:19:22 | averageness | 2 | 86808 | 3 | 16.923 | 5129.6 |
| 440 | 2024-10-20 23:16:49 | averageness | 1 | 49908 | 1 | 2.530 | 19726.5 |
| 439 | 2024-10-20 10:30:11 | averageness | 4 | 148819 | 58 | 41.596 | 3577.7 |
| 438 | 2024-10-19 16:36:11 | averageness | 4 | 148819 | 58 | 43.690 | 3406.2 |
| 437 | 2024-10-08 00:58:05 | averageness | 1 | 49908 | 1 | 5.953 | 8383.7 |