History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"preadjusted"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
539 | 2025-07-11 14:33:22 | preadjusted | 4 | 148819 | 51 | 26.876 | 5537.2 |
538 | 2025-07-07 15:06:25 | preadjusted | 3 | 121633 | 15 | 21.686 | 5608.8 |
537 | 2025-07-06 21:57:47 | preadjusted | 4 | 148819 | 51 | 53.893 | 2761.4 |
536 | 2025-07-06 21:57:40 | preadjusted | 4 | 148819 | 51 | 46.176 | 3222.9 |
535 | 2025-07-06 11:14:25 | preadjusted | 1 | 49908 | 2 | 0.860 | 58032.6 |
534 | 2025-07-02 12:02:43 | preadjusted | 1 | 49908 | 2 | 4.106 | 12154.9 |
533 | 2025-06-19 06:04:23 | preadjusted | 4 | 148819 | 51 | 42.926 | 3466.9 |
532 | 2025-06-10 02:06:13 | preadjusted | 1 | 49908 | 2 | 3.796 | 13147.5 |
531 | 2025-06-09 09:23:26 | preadjusted | 4 | 148819 | 51 | 9.830 | 15139.3 |
530 | 2025-06-07 20:27:54 | preadjusted | 4 | 148819 | 51 | 48.610 | 3061.5 |
529 | 2025-06-07 16:38:07 | preadjusted | 1 | 49908 | 2 | 0.940 | 53093.6 |
528 | 2025-06-01 04:59:12 | preadjusted | 1 | 49908 | 2 | 3.703 | 13477.7 |
527 | 2025-05-28 16:09:43 | preadjusted | 1 | 49908 | 2 | 1.546 | 32282.0 |
526 | 2025-05-20 22:16:33 | preadjusted | 1 | 49908 | 2 | 1.000 | 49908.0 |
525 | 2025-05-16 21:55:56 | preadjusted | 4 | 148819 | 51 | 31.803 | 4679.4 |
524 | 2025-05-13 10:24:17 | preadjusted | 1 | 49908 | 2 | 0.966 | 51664.6 |
523 | 2025-05-06 03:32:58 | preadjusted | 4 | 148819 | 51 | 42.330 | 3515.7 |
522 | 2025-04-30 16:18:15 | preadjusted | 1 | 49908 | 2 | 6.843 | 7293.3 |
521 | 2025-04-26 18:30:47 | preadjusted | 4 | 148819 | 51 | 43.190 | 3445.7 |
520 | 2025-04-25 17:17:13 | preadjusted | 4 | 148819 | 51 | 9.733 | 15290.1 |
519 | 2025-04-20 06:40:29 | preadjusted | 4 | 148819 | 51 | 57.176 | 2602.8 |
518 | 2025-04-18 05:11:02 | preadjusted | 1 | 49908 | 2 | 1.813 | 27527.9 |
517 | 2025-04-04 07:25:23 | preadjusted | 4 | 148819 | 51 | 43.270 | 3439.3 |
516 | 2025-03-29 18:44:40 | preadjusted | 4 | 148819 | 51 | 63.380 | 2348.0 |
515 | 2025-03-29 13:40:07 | preadjusted | 1 | 49908 | 2 | 2.686 | 18580.8 |
514 | 2025-03-26 22:36:24 | preadjusted | 4 | 148819 | 51 | 50.536 | 2944.8 |
513 | 2025-03-25 21:17:44 | preadjusted | 5 | 164607 | 330 | 65.393 | 2517.2 |
512 | 2025-03-25 20:00:57 | preadjusted | 4 | 148819 | 51 | 13.863 | 10735.0 |
511 | 2025-03-25 19:54:27 | preadjusted | 4 | 148819 | 51 | 37.236 | 3996.6 |
510 | 2025-03-25 06:50:29 | preadjusted | 3 | 121633 | 15 | 20.030 | 6072.5 |
509 | 2025-03-25 04:49:02 | preadjusted | 2 | 86808 | 4 | 11.623 | 7468.6 |
508 | 2025-03-25 03:29:11 | preadjusted | 1 | 49908 | 2 | 3.016 | 16547.7 |
507 | 2025-03-24 22:53:02 | preadjusted | 4 | 148819 | 51 | 50.986 | 2918.8 |
506 | 2025-03-24 15:50:06 | preadjusted | 3 | 121633 | 15 | 5.470 | 22236.4 |
505 | 2025-03-22 17:08:15 | preadjusted | 4 | 148819 | 51 | 51.963 | 2863.9 |
504 | 2025-03-21 04:27:42 | preadjusted | 5 | 164607 | 330 | 84.033 | 1958.8 |
503 | 2025-03-19 18:25:13 | preadjusted | 2 | 86808 | 4 | 2.716 | 31961.7 |
502 | 2025-03-19 14:35:08 | preadjusted | 3 | 121633 | 15 | 29.486 | 4125.1 |
501 | 2025-03-19 06:50:24 | preadjusted | 4 | 148819 | 51 | 24.143 | 6164.1 |
500 | 2025-03-18 13:49:09 | preadjusted | 1 | 49908 | 2 | 2.343 | 21300.9 |
499 | 2025-03-09 17:46:34 | preadjusted | 3 | 121633 | 15 | 28.593 | 4253.9 |
498 | 2025-02-23 03:02:17 | preadjusted | 4 | 148819 | 51 | 58.313 | 2552.1 |
497 | 2025-02-21 21:29:32 | preadjusted | 3 | 121633 | 15 | 14.140 | 8602.1 |
496 | 2025-02-21 21:29:31 | preadjusted | 2 | 86808 | 4 | 9.343 | 9291.2 |
495 | 2025-02-21 14:48:17 | preadjusted | 4 | 148819 | 51 | 45.550 | 3267.2 |
494 | 2025-02-21 14:48:13 | preadjusted | 2 | 86808 | 4 | 12.166 | 7135.3 |
493 | 2025-02-21 14:47:26 | preadjusted | 1 | 49908 | 2 | 6.240 | 7998.1 |
492 | 2025-02-21 00:08:43 | preadjusted | 2 | 86808 | 4 | 12.610 | 6884.1 |
491 | 2025-02-21 00:07:45 | preadjusted | 3 | 121633 | 15 | 29.160 | 4171.2 |
489 | 2025-02-21 00:07:46 | preadjusted | 3 | 121633 | 15 | 28.110 | 4327.0 |
488 | 2025-02-21 00:04:52 | preadjusted | 1 | 49908 | 2 | 4.203 | 11874.4 |
487 | 2025-02-16 04:22:04 | preadjusted | 3 | 121633 | 15 | 36.143 | 3365.3 |
486 | 2025-02-10 05:26:05 | preadjusted | 3 | 121633 | 15 | 31.843 | 3819.8 |
485 | 2025-02-10 05:26:06 | preadjusted | 3 | 121633 | 15 | 20.640 | 5893.1 |
484 | 2025-02-10 05:26:00 | preadjusted | 2 | 86808 | 4 | 12.360 | 7023.3 |
483 | 2025-02-10 00:54:11 | preadjusted | 1 | 49908 | 2 | 4.033 | 12374.9 |
482 | 2025-02-09 01:38:54 | preadjusted | 1 | 49908 | 2 | 1.843 | 27079.8 |
481 | 2025-01-31 04:28:38 | preadjusted | 3 | 121633 | 15 | 30.983 | 3925.8 |
480 | 2025-01-27 12:18:41 | preadjusted | 3 | 121633 | 15 | 24.703 | 4923.8 |
479 | 2025-01-13 21:32:35 | preadjusted | 3 | 121633 | 15 | 29.063 | 4185.1 |
478 | 2025-01-13 10:11:52 | preadjusted | 3 | 121633 | 15 | 35.863 | 3391.6 |
477 | 2025-01-09 11:41:02 | preadjusted | 3 | 121633 | 15 | 26.283 | 4627.8 |
476 | 2025-01-02 14:00:51 | preadjusted | 4 | 148819 | 51 | 39.860 | 3733.5 |
475 | 2025-01-02 08:29:21 | preadjusted | 4 | 148819 | 51 | 49.380 | 3013.8 |
474 | 2024-12-30 01:52:48 | preadjusted | 1 | 49908 | 2 | 6.500 | 7678.2 |
473 | 2024-12-24 11:25:16 | preadjusted | 3 | 121633 | 15 | 26.346 | 4616.8 |
472 | 2024-12-24 11:25:24 | preadjusted | 2 | 86808 | 4 | 6.330 | 13713.7 |
471 | 2024-12-24 11:23:49 | preadjusted | 1 | 49908 | 2 | 4.123 | 12104.8 |
470 | 2024-12-24 00:56:33 | preadjusted | 2 | 86808 | 4 | 12.483 | 6954.1 |
469 | 2024-12-14 19:54:08 | preadjusted | 4 | 148819 | 51 | 55.706 | 2671.5 |
468 | 2024-12-14 19:54:11 | preadjusted | 2 | 86808 | 4 | 12.673 | 6849.8 |
467 | 2024-12-14 19:52:11 | preadjusted | 4 | 148819 | 51 | 45.583 | 3264.8 |
466 | 2024-12-14 19:49:46 | preadjusted | 1 | 49908 | 2 | 3.360 | 14853.6 |
465 | 2024-11-30 23:50:03 | preadjusted | 4 | 148819 | 51 | 32.940 | 4517.9 |
464 | 2024-11-30 10:46:22 | preadjusted | 4 | 148819 | 51 | 47.366 | 3141.9 |
463 | 2024-11-29 15:35:04 | preadjusted | 4 | 148819 | 51 | 26.250 | 5669.3 |
462 | 2024-11-23 07:18:17 | preadjusted | 3 | 121633 | 15 | 26.186 | 4645.0 |
461 | 2024-11-19 11:25:09 | preadjusted | 3 | 121633 | 15 | 36.646 | 3319.1 |
460 | 2024-11-19 11:17:07 | preadjusted | 4 | 148819 | 51 | 52.863 | 2815.2 |
459 | 2024-11-19 11:06:18 | preadjusted | 1 | 49908 | 2 | 0.810 | 61614.8 |
458 | 2024-11-14 16:36:22 | preadjusted | 4 | 148819 | 51 | 48.473 | 3070.1 |
457 | 2024-11-13 20:20:50 | preadjusted | 1 | 49908 | 2 | 4.046 | 12335.1 |
456 | 2024-11-02 05:20:04 | preadjusted | 2 | 86808 | 4 | 12.046 | 7206.4 |
455 | 2024-11-01 14:50:35 | preadjusted | 2 | 86808 | 4 | 12.940 | 6708.5 |
454 | 2024-11-01 14:46:43 | preadjusted | 1 | 49908 | 2 | 1.360 | 36697.1 |
453 | 2024-10-29 08:49:17 | preadjusted | 4 | 148819 | 51 | 47.783 | 3114.5 |
452 | 2024-10-28 05:13:28 | preadjusted | 4 | 148819 | 51 | 40.346 | 3688.6 |
451 | 2024-10-28 05:13:27 | preadjusted | 4 | 148819 | 51 | 35.236 | 4223.5 |
450 | 2024-10-28 05:13:28 | preadjusted | 2 | 86808 | 4 | 12.266 | 7077.1 |
449 | 2024-10-28 05:11:17 | preadjusted | 1 | 49908 | 2 | 4.593 | 10866.1 |
448 | 2024-10-19 19:47:40 | preadjusted | 3 | 121633 | 15 | 27.876 | 4363.4 |
447 | 2024-10-16 05:39:55 | preadjusted | 3 | 121633 | 15 | 27.703 | 4390.6 |
446 | 2024-10-15 02:13:55 | preadjusted | 3 | 121633 | 15 | 31.973 | 3804.2 |
445 | 2024-10-14 05:33:58 | preadjusted | 3 | 121633 | 15 | 27.016 | 4502.3 |
444 | 2024-10-14 05:34:09 | preadjusted | 2 | 86808 | 4 | 12.313 | 7050.1 |
443 | 2024-10-14 05:33:49 | preadjusted | 3 | 121633 | 15 | 31.033 | 3919.5 |
442 | 2024-10-14 05:33:42 | preadjusted | 3 | 121633 | 15 | 23.703 | 5131.5 |
441 | 2024-10-14 05:32:53 | preadjusted | 1 | 49908 | 2 | 3.923 | 12721.9 |
440 | 2024-10-04 01:40:49 | preadjusted | 1 | 49908 | 2 | 6.220 | 8023.8 |