History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"exactnesses"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
502 | 2025-08-22 19:17:38 | exactnesses | 4 | 148819 | 294 | 10.580 | 14066.1 |
501 | 2025-08-17 12:01:45 | exactnesses | 4 | 148819 | 294 | 39.423 | 3774.9 |
500 | 2025-08-17 12:01:22 | exactnesses | 4 | 148819 | 294 | 37.063 | 4015.3 |
499 | 2025-08-11 17:25:38 | exactnesses | 4 | 148819 | 294 | 28.566 | 5209.7 |
498 | 2025-08-10 18:12:03 | exactnesses | 1 | 49908 | 1 | 1.500 | 33272.0 |
497 | 2025-08-10 18:11:52 | exactnesses | 1 | 49908 | 1 | 1.906 | 26184.7 |
496 | 2025-08-09 11:07:51 | exactnesses | 4 | 148819 | 294 | 33.416 | 4453.5 |
495 | 2025-08-05 18:23:38 | exactnesses | 2 | 86808 | 4 | 5.046 | 17203.3 |
494 | 2025-08-05 03:40:39 | exactnesses | 4 | 148819 | 294 | 22.236 | 6692.7 |
493 | 2025-08-05 03:02:33 | exactnesses | 3 | 121633 | 42 | 12.466 | 9757.2 |
492 | 2025-08-04 13:44:59 | exactnesses | 1 | 49908 | 1 | 3.250 | 15356.3 |
491 | 2025-08-01 06:01:32 | exactnesses | 1 | 49908 | 1 | 3.373 | 14796.3 |
490 | 2025-07-31 08:32:44 | exactnesses | 1 | 49908 | 1 | 3.343 | 14929.1 |
489 | 2025-07-23 21:13:36 | exactnesses | 1 | 49908 | 1 | 2.313 | 21577.2 |
488 | 2025-07-10 19:53:42 | exactnesses | 1 | 49908 | 1 | 5.846 | 8537.1 |
487 | 2025-07-09 10:17:18 | exactnesses | 1 | 49908 | 1 | 0.843 | 59202.8 |
486 | 2025-07-06 20:27:36 | exactnesses | 1 | 49908 | 1 | 3.373 | 14796.3 |
485 | 2025-07-02 20:10:04 | exactnesses | 1 | 49908 | 1 | 5.936 | 8407.7 |
484 | 2025-07-02 12:44:51 | exactnesses | 1 | 49908 | 1 | 3.326 | 15005.4 |
483 | 2025-06-30 04:18:57 | exactnesses | 1 | 49908 | 1 | 4.250 | 11743.1 |
482 | 2025-06-23 16:13:37 | exactnesses | 1 | 49908 | 1 | 3.123 | 15980.8 |
481 | 2025-06-19 17:18:40 | exactnesses | 4 | 148819 | 294 | 9.063 | 16420.5 |
480 | 2025-06-17 04:19:43 | exactnesses | 4 | 148819 | 294 | 41.503 | 3585.7 |
479 | 2025-06-17 02:50:50 | exactnesses | 3 | 121633 | 42 | 23.113 | 5262.5 |
478 | 2025-06-14 10:22:10 | exactnesses | 4 | 148819 | 294 | 42.406 | 3509.4 |
477 | 2025-06-14 03:42:51 | exactnesses | 3 | 121633 | 42 | 23.666 | 5139.6 |
476 | 2025-06-12 05:12:46 | exactnesses | 4 | 148819 | 294 | 46.583 | 3194.7 |
475 | 2025-06-11 07:19:05 | exactnesses | 3 | 121633 | 42 | 24.623 | 4939.8 |
474 | 2025-06-11 05:49:20 | exactnesses | 2 | 86808 | 4 | 11.673 | 7436.6 |
473 | 2025-06-10 00:46:53 | exactnesses | 1 | 49908 | 1 | 2.940 | 16975.5 |
472 | 2025-06-09 13:38:53 | exactnesses | 1 | 49908 | 1 | 0.830 | 60130.1 |
471 | 2025-05-29 10:35:59 | exactnesses | 1 | 49908 | 1 | 3.140 | 15894.3 |
470 | 2025-05-17 17:52:34 | exactnesses | 1 | 49908 | 1 | 0.843 | 59202.8 |
469 | 2025-05-15 10:19:14 | exactnesses | 1 | 49908 | 1 | 0.873 | 57168.4 |
468 | 2025-05-08 13:44:03 | exactnesses | 1 | 49908 | 1 | 2.406 | 20743.1 |
467 | 2025-05-07 20:50:15 | exactnesses | 1 | 49908 | 1 | 3.813 | 13088.9 |
466 | 2025-04-26 11:12:39 | exactnesses | 1 | 49908 | 1 | 3.893 | 12819.9 |
465 | 2025-04-23 10:12:28 | exactnesses | 1 | 49908 | 1 | 2.216 | 22521.7 |
464 | 2025-04-14 13:52:58 | exactnesses | 1 | 49908 | 1 | 5.733 | 8705.4 |
463 | 2025-04-10 04:55:31 | exactnesses | 4 | 148819 | 294 | 9.686 | 15364.3 |
462 | 2025-04-02 22:29:33 | exactnesses | 4 | 148819 | 294 | 31.453 | 4731.5 |
461 | 2025-04-02 00:22:31 | exactnesses | 1 | 49908 | 1 | 4.030 | 12384.1 |
460 | 2025-03-30 11:57:12 | exactnesses | 4 | 148819 | 294 | 35.983 | 4135.8 |
459 | 2025-03-26 03:00:45 | exactnesses | 4 | 148819 | 294 | 45.100 | 3299.8 |
458 | 2025-03-25 11:21:44 | exactnesses | 4 | 148819 | 294 | 55.736 | 2670.1 |
457 | 2025-03-25 11:07:04 | exactnesses | 4 | 148819 | 294 | 75.270 | 1977.1 |
456 | 2025-03-23 21:37:14 | exactnesses | 4 | 148819 | 294 | 44.176 | 3368.8 |
455 | 2025-03-23 12:42:40 | exactnesses | 1 | 49908 | 1 | 2.360 | 21147.5 |
454 | 2025-03-15 02:14:13 | exactnesses | 1 | 49908 | 1 | 4.156 | 12008.7 |
453 | 2025-03-14 05:19:20 | exactnesses | 1 | 49908 | 1 | 3.766 | 13252.3 |
452 | 2025-02-20 19:35:39 | exactnesses | 1 | 49908 | 1 | 1.826 | 27331.9 |
451 | 2025-02-10 00:41:29 | exactnesses | 3 | 121633 | 42 | 24.436 | 4977.6 |
450 | 2025-02-08 18:21:07 | exactnesses | 3 | 121633 | 42 | 18.673 | 6513.8 |
449 | 2025-02-08 18:21:05 | exactnesses | 2 | 86808 | 4 | 12.750 | 6808.5 |
448 | 2025-02-08 18:20:49 | exactnesses | 1 | 49908 | 1 | 3.593 | 13890.3 |
447 | 2025-02-06 14:46:51 | exactnesses | 4 | 148819 | 294 | 26.076 | 5707.1 |
446 | 2025-02-05 13:25:35 | exactnesses | 3 | 121633 | 42 | 22.736 | 5349.8 |
445 | 2025-02-05 13:25:31 | exactnesses | 2 | 86808 | 4 | 6.623 | 13107.1 |
444 | 2025-02-04 17:46:53 | exactnesses | 4 | 148819 | 294 | 39.940 | 3726.1 |
443 | 2025-02-04 17:46:57 | exactnesses | 3 | 121633 | 42 | 22.393 | 5431.7 |
442 | 2025-02-04 17:46:58 | exactnesses | 2 | 86808 | 4 | 11.563 | 7507.4 |
441 | 2025-02-04 17:44:40 | exactnesses | 1 | 49908 | 1 | 0.826 | 60421.3 |
440 | 2025-01-16 12:18:34 | exactnesses | 1 | 49908 | 1 | 1.720 | 29016.3 |
439 | 2025-01-13 22:51:26 | exactnesses | 1 | 49908 | 1 | 4.393 | 11360.8 |
438 | 2024-12-28 04:17:08 | exactnesses | 1 | 49908 | 1 | 3.250 | 15356.3 |
437 | 2024-12-15 23:30:36 | exactnesses | 1 | 49908 | 1 | 6.093 | 8191.0 |
436 | 2024-11-22 03:31:57 | exactnesses | 1 | 49908 | 1 | 1.986 | 25129.9 |
435 | 2024-11-01 19:26:46 | exactnesses | 2 | 86808 | 4 | 10.486 | 8278.5 |
434 | 2024-11-01 19:26:36 | exactnesses | 1 | 49908 | 1 | 1.966 | 25385.6 |
433 | 2024-10-26 11:38:47 | exactnesses | 4 | 148819 | 294 | 57.363 | 2594.3 |
432 | 2024-10-22 22:14:45 | exactnesses | 4 | 148819 | 294 | 61.456 | 2421.6 |
431 | 2024-10-22 03:40:29 | exactnesses | 1 | 49908 | 1 | 2.753 | 18128.6 |
430 | 2024-10-20 22:56:53 | exactnesses | 4 | 148819 | 294 | 58.263 | 2554.3 |
429 | 2024-10-20 15:08:57 | exactnesses | 4 | 148819 | 294 | 40.986 | 3631.0 |
428 | 2024-10-20 15:09:11 | exactnesses | 2 | 86808 | 4 | 13.686 | 6342.8 |
427 | 2024-10-20 15:07:53 | exactnesses | 1 | 49908 | 1 | 3.703 | 13477.7 |
426 | 2024-10-12 09:13:11 | exactnesses | 3 | 121633 | 42 | 27.423 | 4435.4 |
425 | 2024-10-09 19:20:14 | exactnesses | 3 | 121633 | 42 | 36.606 | 3322.8 |
424 | 2024-10-07 02:36:13 | exactnesses | 1 | 49908 | 1 | 4.890 | 10206.1 |
423 | 2024-10-04 22:38:55 | exactnesses | 3 | 121633 | 42 | 37.093 | 3279.1 |
422 | 2024-10-04 14:37:22 | exactnesses | 3 | 121633 | 42 | 48.533 | 2506.2 |
421 | 2024-09-26 10:07:43 | exactnesses | 3 | 121633 | 42 | 41.346 | 2941.8 |
420 | 2024-09-26 02:40:04 | exactnesses | 2 | 86808 | 4 | 10.330 | 8403.5 |
419 | 2024-09-11 15:12:15 | exactnesses | 2 | 86808 | 4 | 17.313 | 5014.0 |
418 | 2024-09-11 15:10:27 | exactnesses | 1 | 49908 | 1 | 3.046 | 16384.8 |
417 | 2024-09-04 03:21:49 | exactnesses | 3 | 121633 | 42 | 57.440 | 2117.6 |
416 | 2024-09-02 12:51:25 | exactnesses | 1 | 49908 | 1 | 8.520 | 5857.7 |
415 | 2024-08-26 11:54:22 | exactnesses | 3 | 121633 | 42 | 53.236 | 2284.8 |
414 | 2024-08-24 00:12:40 | exactnesses | 3 | 121633 | 42 | 52.830 | 2302.3 |
413 | 2024-08-23 19:22:30 | exactnesses | 4 | 148819 | 294 | 70.426 | 2113.1 |
412 | 2024-08-23 19:22:30 | exactnesses | 3 | 121633 | 42 | 34.753 | 3499.9 |
411 | 2024-08-21 19:25:54 | exactnesses | 3 | 121633 | 42 | 17.953 | 6775.1 |
410 | 2024-08-21 19:25:59 | exactnesses | 2 | 86808 | 4 | 8.860 | 9797.7 |
409 | 2024-08-21 19:25:41 | exactnesses | 1 | 49908 | 1 | 1.486 | 33585.5 |
408 | 2024-08-21 19:14:03 | exactnesses | 4 | 148819 | 294 | 97.530 | 1525.9 |
407 | 2024-08-13 11:25:46 | exactnesses | 4 | 148819 | 294 | 70.676 | 2105.7 |
406 | 2024-08-11 11:20:37 | exactnesses | 4 | 148819 | 294 | 33.566 | 4433.6 |
405 | 2024-08-11 09:36:44 | exactnesses | 4 | 148819 | 294 | 47.453 | 3136.1 |
404 | 2024-08-11 07:29:41 | exactnesses | 4 | 148819 | 294 | 30.926 | 4812.1 |
403 | 2024-08-11 07:29:43 | exactnesses | 2 | 86808 | 4 | 14.140 | 6139.2 |