History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"toughness"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
520 | 2025-10-07 08:30:11 | toughness | 3 | 148641 | 77 | 7.313 | 20325.6 |
519 | 2025-10-06 22:48:15 | toughness | 3 | 148641 | 77 | 7.033 | 21134.8 |
518 | 2025-10-01 05:09:20 | toughness | 4 | 165329 | 524 | 10.610 | 15582.4 |
517 | 2025-09-17 01:53:41 | toughness | 3 | 148641 | 77 | 6.733 | 22076.5 |
516 | 2025-09-09 00:10:20 | toughness | 1 | 81242 | 2 | 2.860 | 28406.3 |
515 | 2025-08-27 07:23:24 | toughness | 2 | 121436 | 9 | 3.423 | 35476.5 |
514 | 2025-08-26 09:14:44 | toughness | 3 | 148641 | 77 | 6.766 | 21968.8 |
513 | 2025-08-26 09:11:25 | toughness | 4 | 165329 | 524 | 11.470 | 14414.0 |
512 | 2025-08-26 03:08:31 | toughness | 1 | 81242 | 2 | 1.406 | 57782.4 |
511 | 2025-08-24 08:33:28 | toughness | 1 | 81242 | 2 | 1.403 | 57905.9 |
510 | 2025-08-22 12:59:41 | toughness | 1 | 81242 | 2 | 1.250 | 64993.6 |
509 | 2025-08-17 16:37:57 | toughness | 1 | 81242 | 2 | 4.206 | 19315.7 |
508 | 2025-08-11 09:27:55 | toughness | 4 | 165329 | 524 | 54.176 | 3051.7 |
507 | 2025-08-10 21:32:52 | toughness | 2 | 121436 | 9 | 7.766 | 15636.9 |
506 | 2025-08-10 00:50:50 | toughness | 4 | 165329 | 524 | 29.003 | 5700.4 |
505 | 2025-08-09 15:01:54 | toughness | 1 | 81242 | 2 | 6.826 | 11901.8 |
504 | 2025-08-06 05:39:34 | toughness | 4 | 165329 | 524 | 40.063 | 4126.7 |
503 | 2025-08-06 00:07:16 | toughness | 2 | 121436 | 9 | 12.733 | 9537.1 |
502 | 2025-08-05 16:48:02 | toughness | 4 | 165329 | 524 | 78.910 | 2095.2 |
501 | 2025-08-05 04:59:38 | toughness | 2 | 121436 | 9 | 8.656 | 14029.1 |
500 | 2025-08-05 01:12:52 | toughness | 3 | 148641 | 77 | 17.080 | 8702.6 |
499 | 2025-08-04 04:52:48 | toughness | 1 | 81242 | 2 | 3.373 | 24086.0 |
498 | 2025-08-04 01:28:54 | toughness | 1 | 81242 | 2 | 3.140 | 25873.2 |
497 | 2025-08-03 23:42:21 | toughness | 1 | 81242 | 2 | 5.220 | 15563.6 |
496 | 2025-07-28 00:04:06 | toughness | 3 | 148641 | 77 | 34.030 | 4367.9 |
495 | 2025-07-27 06:39:15 | toughness | 3 | 148641 | 77 | 21.720 | 6843.5 |
494 | 2025-07-25 06:59:07 | toughness | 1 | 81242 | 2 | 3.890 | 20884.8 |
493 | 2025-07-25 05:13:05 | toughness | 3 | 148641 | 77 | 20.016 | 7426.1 |
492 | 2025-07-23 16:55:31 | toughness | 3 | 148641 | 77 | 30.686 | 4843.9 |
491 | 2025-07-22 18:28:42 | toughness | 1 | 81242 | 2 | 9.593 | 8468.9 |
490 | 2025-07-22 08:23:58 | toughness | 1 | 81242 | 2 | 7.016 | 11579.5 |
489 | 2025-07-20 05:01:04 | toughness | 3 | 148641 | 77 | 7.250 | 20502.2 |
488 | 2025-07-17 21:02:42 | toughness | 1 | 81242 | 2 | 3.440 | 23616.9 |
487 | 2025-07-08 14:06:22 | toughness | 1 | 81242 | 2 | 6.563 | 12378.8 |
486 | 2025-06-28 14:46:06 | toughness | 2 | 121436 | 9 | 13.266 | 9153.9 |
485 | 2025-06-27 21:38:09 | toughness | 3 | 148641 | 77 | 28.486 | 5218.0 |
484 | 2025-06-26 22:23:47 | toughness | 1 | 81242 | 2 | 1.406 | 57782.4 |
483 | 2025-06-16 17:58:07 | toughness | 1 | 81242 | 2 | 3.623 | 22424.0 |
482 | 2025-06-14 09:03:56 | toughness | 3 | 148641 | 77 | 32.176 | 4619.6 |
481 | 2025-06-14 07:12:24 | toughness | 1 | 81242 | 2 | 6.100 | 13318.4 |
480 | 2025-06-14 06:25:35 | toughness | 3 | 148641 | 77 | 30.923 | 4806.8 |
479 | 2025-06-13 14:41:53 | toughness | 3 | 148641 | 77 | 28.830 | 5155.8 |
478 | 2025-06-13 09:11:34 | toughness | 1 | 81242 | 2 | 1.440 | 56418.1 |
477 | 2025-06-10 10:07:40 | toughness | 3 | 148641 | 77 | 30.783 | 4828.7 |
476 | 2025-06-10 06:15:09 | toughness | 3 | 148641 | 77 | 33.313 | 4462.0 |
475 | 2025-06-08 10:08:49 | toughness | 3 | 148641 | 77 | 48.486 | 3065.6 |
474 | 2025-06-07 13:09:22 | toughness | 1 | 81242 | 2 | 7.033 | 11551.5 |
473 | 2025-05-14 17:43:34 | toughness | 1 | 81242 | 2 | 4.736 | 17154.1 |
472 | 2025-05-12 11:39:29 | toughness | 1 | 81242 | 2 | 6.326 | 12842.6 |
471 | 2025-05-07 22:12:40 | toughness | 1 | 81242 | 2 | 5.470 | 14852.3 |
470 | 2025-04-23 13:21:36 | toughness | 1 | 81242 | 2 | 9.906 | 8201.3 |
469 | 2025-04-17 15:41:58 | toughness | 1 | 81242 | 2 | 2.000 | 40621.0 |
468 | 2025-04-16 21:34:28 | toughness | 3 | 148641 | 77 | 13.533 | 10983.6 |
467 | 2025-04-15 10:29:53 | toughness | 3 | 148641 | 77 | 39.770 | 3737.5 |
466 | 2025-04-09 11:25:09 | toughness | 1 | 81242 | 2 | 3.640 | 22319.2 |
465 | 2025-04-08 00:53:46 | toughness | 1 | 81242 | 2 | 4.876 | 16661.6 |
464 | 2025-04-07 21:24:23 | toughness | 1 | 81242 | 2 | 10.046 | 8087.0 |
463 | 2025-04-04 06:40:45 | toughness | 1 | 81242 | 2 | 6.500 | 12498.8 |
462 | 2025-04-04 06:04:12 | toughness | 3 | 148641 | 77 | 27.283 | 5448.1 |
461 | 2025-04-03 04:58:23 | toughness | 2 | 121436 | 9 | 3.033 | 40038.2 |
460 | 2025-04-02 01:33:46 | toughness | 3 | 148641 | 77 | 30.190 | 4923.5 |
459 | 2025-03-25 11:36:51 | toughness | 3 | 148641 | 77 | 53.113 | 2798.6 |
458 | 2025-03-25 04:10:49 | toughness | 3 | 148641 | 77 | 33.550 | 4430.4 |
457 | 2025-03-23 15:27:41 | toughness | 1 | 81242 | 2 | 3.216 | 25261.8 |
456 | 2025-03-14 12:46:49 | toughness | 1 | 81242 | 2 | 1.326 | 61268.5 |
455 | 2025-03-14 03:00:07 | toughness | 3 | 148641 | 77 | 31.630 | 4699.4 |
454 | 2025-03-14 02:59:57 | toughness | 3 | 148641 | 77 | 38.100 | 3901.3 |
453 | 2025-03-14 02:59:55 | toughness | 2 | 121436 | 9 | 27.316 | 4445.6 |
452 | 2025-03-14 02:57:06 | toughness | 1 | 81242 | 2 | 10.406 | 7807.2 |
451 | 2025-03-13 05:10:03 | toughness | 3 | 148641 | 77 | 32.830 | 4527.6 |
450 | 2025-03-08 19:27:02 | toughness | 4 | 165329 | 524 | 57.673 | 2866.7 |
449 | 2025-03-08 19:24:22 | toughness | 3 | 148641 | 77 | 28.166 | 5277.3 |
448 | 2025-03-08 18:42:58 | toughness | 1 | 81242 | 2 | 6.686 | 12151.1 |
447 | 2025-03-06 13:07:54 | toughness | 4 | 165329 | 524 | 70.923 | 2331.1 |
446 | 2025-03-06 08:19:52 | toughness | 4 | 165329 | 524 | 88.333 | 1871.7 |
445 | 2025-03-06 03:23:52 | toughness | 4 | 165329 | 524 | 59.863 | 2761.8 |
444 | 2025-03-06 03:23:51 | toughness | 2 | 121436 | 9 | 9.626 | 12615.4 |
443 | 2025-03-06 03:21:48 | toughness | 1 | 81242 | 2 | 6.440 | 12615.2 |
442 | 2025-02-25 14:53:21 | toughness | 3 | 148641 | 77 | 6.233 | 23847.4 |
441 | 2025-02-22 18:59:10 | toughness | 2 | 121436 | 9 | 9.830 | 12353.6 |
440 | 2025-02-11 20:48:07 | toughness | 1 | 81242 | 2 | 6.810 | 11929.8 |
439 | 2025-02-10 12:35:21 | toughness | 3 | 148641 | 77 | 27.453 | 5414.4 |
438 | 2025-02-10 12:35:21 | toughness | 2 | 121436 | 9 | 15.970 | 7604.0 |
437 | 2025-02-10 05:01:41 | toughness | 3 | 148641 | 77 | 52.670 | 2822.1 |
436 | 2025-02-10 05:01:41 | toughness | 2 | 121436 | 9 | 17.810 | 6818.4 |
435 | 2025-02-10 04:45:13 | toughness | 3 | 148641 | 77 | 44.973 | 3305.1 |
434 | 2025-02-10 04:14:41 | toughness | 1 | 81242 | 2 | 1.263 | 64324.6 |
433 | 2025-02-08 02:29:49 | toughness | 3 | 148641 | 77 | 33.003 | 4503.9 |
432 | 2025-02-04 12:00:50 | toughness | 1 | 81242 | 2 | 3.423 | 23734.2 |
431 | 2025-02-03 08:36:21 | toughness | 1 | 81242 | 2 | 8.440 | 9625.8 |
430 | 2025-01-22 22:53:10 | toughness | 3 | 148641 | 77 | 34.426 | 4317.7 |
429 | 2025-01-20 01:44:26 | toughness | 3 | 148641 | 77 | 41.740 | 3561.1 |
428 | 2025-01-09 17:51:08 | toughness | 1 | 81242 | 2 | 1.466 | 55417.5 |
427 | 2025-01-05 22:00:38 | toughness | 1 | 81242 | 2 | 3.406 | 23852.6 |
426 | 2025-01-02 15:34:11 | toughness | 3 | 148641 | 77 | 35.860 | 4145.0 |
425 | 2025-01-02 15:34:13 | toughness | 2 | 121436 | 9 | 18.750 | 6476.6 |
424 | 2025-01-02 14:30:12 | toughness | 1 | 81242 | 2 | 3.313 | 24522.2 |
423 | 2024-12-28 13:33:37 | toughness | 1 | 81242 | 2 | 1.233 | 65889.7 |
422 | 2024-12-16 14:06:13 | toughness | 4 | 165329 | 524 | 45.266 | 3652.4 |
421 | 2024-12-10 00:49:23 | toughness | 1 | 81242 | 2 | 4.126 | 19690.3 |