History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"flaws"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
714 | 2024-04-24 16:59:05 | flaws | 1 | 28756 | 16 | 0.530 | 54256.6 |
713 | 2024-04-20 01:25:39 | flaws | 1 | 28756 | 16 | 2.343 | 12273.2 |
712 | 2024-04-12 19:20:01 | flaws | 2 | 53800 | 169 | 1.550 | 34709.7 |
711 | 2024-04-12 19:19:57 | flaws | 1 | 28756 | 16 | 0.530 | 54256.6 |
710 | 2024-04-12 19:19:49 | flaws | 2 | 53800 | 169 | 1.876 | 28678.0 |
709 | 2024-04-12 19:18:57 | flaws | 1 | 28756 | 16 | 1.266 | 22714.1 |
708 | 2024-04-05 09:02:51 | flaws | 2 | 53800 | 169 | 1.953 | 27547.4 |
707 | 2024-04-02 20:53:05 | flaws | 1 | 28756 | 16 | 0.436 | 65954.1 |
706 | 2024-03-29 02:18:20 | flaws | 2 | 53800 | 169 | 2.516 | 21383.1 |
705 | 2024-03-29 02:14:26 | flaws | 1 | 28756 | 16 | 1.733 | 16593.2 |
704 | 2024-03-13 04:28:57 | flaws | 2 | 53800 | 169 | 3.750 | 14346.7 |
703 | 2024-03-13 04:28:47 | flaws | 1 | 28756 | 16 | 1.593 | 18051.5 |
702 | 2024-03-13 04:28:39 | flaws | 2 | 53800 | 169 | 2.860 | 18811.2 |
701 | 2024-03-13 04:28:35 | flaws | 1 | 28756 | 16 | 1.000 | 28756.0 |
700 | 2024-03-02 15:06:49 | flaws | 1 | 28756 | 16 | 1.670 | 17219.2 |
699 | 2024-02-27 19:58:43 | flaws | 1 | 28756 | 16 | 0.546 | 52666.7 |
698 | 2024-01-22 19:49:37 | flaws | 1 | 28756 | 16 | 0.483 | 59536.2 |
697 | 2024-01-22 18:26:11 | flaws | 1 | 28756 | 16 | 0.516 | 55728.7 |
696 | 2024-01-22 17:02:02 | flaws | 1 | 28756 | 16 | 0.436 | 65954.1 |
695 | 2024-01-13 23:16:45 | flaws | 1 | 28756 | 16 | 0.440 | 65354.5 |
694 | 2024-01-10 23:42:17 | flaws | 1 | 28756 | 16 | 0.483 | 59536.2 |
693 | 2024-01-10 10:18:22 | flaws | 2 | 53800 | 169 | 1.530 | 35163.4 |
692 | 2023-12-29 09:52:26 | flaws | 1 | 28756 | 16 | 0.483 | 59536.2 |
691 | 2023-12-17 22:03:56 | flaws | 2 | 53800 | 169 | 3.233 | 16640.9 |
690 | 2023-12-09 19:56:11 | flaws | 2 | 53800 | 169 | 1.483 | 36277.8 |
689 | 2023-11-24 13:43:55 | flaws | 1 | 28756 | 16 | 0.500 | 57512.0 |
688 | 2023-11-24 06:21:15 | flaws | 1 | 28756 | 16 | 0.513 | 56054.6 |
687 | 2023-11-16 06:17:47 | flaws | 1 | 28756 | 16 | 0.470 | 61183.0 |
686 | 2023-11-12 12:19:52 | flaws | 1 | 28756 | 16 | 0.516 | 55728.7 |
685 | 2023-11-12 04:14:20 | flaws | 1 | 28756 | 16 | 0.486 | 59168.7 |
684 | 2023-11-05 06:54:36 | flaws | 1 | 28756 | 16 | 0.420 | 68466.7 |
683 | 2023-11-03 09:38:05 | flaws | 1 | 28756 | 16 | 0.640 | 44931.3 |
682 | 2023-10-22 18:05:26 | flaws | 1 | 28756 | 16 | 0.436 | 65954.1 |
681 | 2023-10-20 05:47:59 | flaws | 1 | 28756 | 16 | 0.483 | 59536.2 |
680 | 2023-10-19 16:55:05 | flaws | 1 | 28756 | 16 | 0.436 | 65954.1 |
679 | 2023-10-12 03:26:35 | flaws | 1 | 28756 | 16 | 0.513 | 56054.6 |
678 | 2023-10-05 02:52:15 | flaws | 1 | 28756 | 16 | 0.530 | 54256.6 |
677 | 2023-09-28 15:30:26 | flaws | 2 | 53800 | 169 | 1.576 | 34137.1 |
676 | 2023-09-24 15:17:33 | flaws | 1 | 28756 | 16 | 0.953 | 30174.2 |
675 | 2023-09-24 06:10:51 | flaws | 2 | 53800 | 169 | 1.623 | 33148.5 |
674 | 2023-09-19 10:34:10 | flaws | 1 | 28756 | 16 | 0.483 | 59536.2 |
673 | 2023-09-07 03:29:04 | flaws | 2 | 53800 | 169 | 1.360 | 39558.8 |
672 | 2023-08-29 04:00:29 | flaws | 1 | 28756 | 16 | 0.470 | 61183.0 |
671 | 2023-08-08 11:38:44 | flaws | 1 | 28756 | 16 | 0.436 | 65954.1 |
670 | 2023-08-04 17:20:54 | flaws | 1 | 28756 | 16 | 0.940 | 30591.5 |
669 | 2023-05-26 12:42:36 | flaws | 1 | 28756 | 16 | 0.423 | 67981.1 |
668 | 2023-05-26 04:19:21 | flaws | 2 | 53800 | 169 | 1.500 | 35866.7 |
667 | 2023-04-27 05:24:15 | flaws | 1 | 28756 | 16 | 0.500 | 57512.0 |
666 | 2023-03-21 04:21:30 | flaws | 1 | 28756 | 16 | 0.420 | 68466.7 |
665 | 2023-01-18 14:29:01 | flaws | 1 | 28756 | 16 | 0.436 | 65954.1 |
664 | 2023-01-16 12:59:44 | flaws | 2 | 53800 | 169 | 2.656 | 20256.0 |
663 | 2023-01-09 12:07:33 | flaws | 1 | 28756 | 16 | 0.436 | 65954.1 |
662 | 2022-12-13 09:27:59 | flaws | 2 | 53800 | 169 | 1.373 | 39184.3 |
661 | 2022-11-19 20:51:57 | flaws | 1 | 28756 | 16 | 0.486 | 59168.7 |
660 | 2022-11-18 19:35:03 | flaws | 1 | 28756 | 16 | 0.470 | 61183.0 |
659 | 2022-11-13 00:59:13 | flaws | 2 | 53800 | 169 | 1.500 | 35866.7 |
658 | 2022-11-04 20:50:08 | flaws | 1 | 28756 | 16 | 0.436 | 65954.1 |
657 | 2022-10-04 12:36:09 | flaws | 1 | 28756 | 16 | 0.453 | 63479.0 |
656 | 2022-09-30 21:32:34 | flaws | 1 | 28756 | 16 | 0.436 | 65954.1 |
655 | 2022-09-23 20:26:10 | flaws | 2 | 53800 | 169 | 1.326 | 40573.2 |
654 | 2022-09-01 21:18:29 | flaws | 2 | 53800 | 169 | 1.423 | 37807.4 |
653 | 2022-08-30 12:16:02 | flaws | 1 | 28756 | 16 | 0.423 | 67981.1 |
652 | 2022-08-25 03:44:28 | flaws | 2 | 53800 | 169 | 1.390 | 38705.0 |
651 | 2022-08-15 01:33:58 | flaws | 1 | 28756 | 16 | 0.423 | 67981.1 |
650 | 2022-07-30 07:00:31 | flaws | 2 | 53800 | 169 | 1.330 | 40451.1 |
649 | 2022-07-29 09:38:13 | flaws | 1 | 28756 | 16 | 0.406 | 70827.6 |
648 | 2022-07-20 05:44:27 | flaws | 1 | 28756 | 16 | 0.453 | 63479.0 |
647 | 2022-07-10 10:50:07 | flaws | 1 | 28756 | 16 | 0.483 | 59536.2 |
646 | 2022-07-02 20:01:46 | flaws | 1 | 28756 | 16 | 0.423 | 67981.1 |
645 | 2022-06-17 14:53:43 | flaws | 1 | 28756 | 16 | 0.436 | 65954.1 |
644 | 2022-06-15 21:59:25 | flaws | 1 | 28756 | 16 | 0.436 | 65954.1 |
643 | 2022-06-13 21:50:03 | flaws | 1 | 28756 | 16 | 0.436 | 65954.1 |
642 | 2022-06-05 04:58:10 | flaws | 1 | 28756 | 16 | 0.436 | 65954.1 |
641 | 2022-05-17 13:41:17 | flaws | 1 | 28756 | 16 | 0.533 | 53951.2 |
640 | 2022-05-11 14:00:41 | flaws | 1 | 28756 | 16 | 0.953 | 30174.2 |
639 | 2022-05-10 18:36:06 | flaws | 1 | 28756 | 16 | 1.266 | 22714.1 |
638 | 2022-05-10 12:50:14 | flaws | 1 | 28756 | 16 | 0.626 | 45936.1 |
637 | 2022-04-12 13:28:53 | flaws | 1 | 28756 | 16 | 0.440 | 65354.5 |
636 | 2022-04-11 11:35:09 | flaws | 1 | 28756 | 16 | 0.533 | 53951.2 |
635 | 2022-04-10 11:46:36 | flaws | 1 | 28756 | 16 | 0.453 | 63479.0 |
634 | 2022-04-09 16:55:57 | flaws | 1 | 28756 | 16 | 0.436 | 65954.1 |
633 | 2022-02-26 21:07:10 | flaws | 1 | 28756 | 16 | 0.486 | 59168.7 |
632 | 2022-02-26 18:23:18 | flaws | 1 | 28756 | 16 | 0.423 | 67981.1 |
631 | 2022-02-23 09:17:31 | flaws | 1 | 28756 | 16 | 0.436 | 65954.1 |
630 | 2022-02-06 23:25:09 | flaws | 1 | 28756 | 16 | 0.486 | 59168.7 |
629 | 2022-02-05 19:15:01 | flaws | 1 | 28756 | 16 | 0.440 | 65354.5 |
628 | 2022-02-04 20:19:57 | flaws | 1 | 28756 | 16 | 0.516 | 55728.7 |
627 | 2022-02-03 16:27:48 | flaws | 1 | 28756 | 16 | 0.486 | 59168.7 |
626 | 2022-02-03 08:20:08 | flaws | 1 | 28756 | 16 | 0.436 | 65954.1 |
625 | 2022-02-02 16:33:11 | flaws | 1 | 28756 | 16 | 0.486 | 59168.7 |
624 | 2022-02-01 15:08:37 | flaws | 1 | 28756 | 16 | 0.483 | 59536.2 |
623 | 2022-01-31 15:22:12 | flaws | 1 | 28756 | 16 | 0.470 | 61183.0 |
622 | 2022-01-30 21:29:12 | flaws | 1 | 28756 | 16 | 0.516 | 55728.7 |
621 | 2022-01-29 21:36:45 | flaws | 1 | 28756 | 16 | 0.483 | 59536.2 |
620 | 2022-01-23 23:21:53 | flaws | 1 | 28756 | 16 | 0.513 | 56054.6 |
619 | 2022-01-13 11:14:56 | flaws | 1 | 28756 | 16 | 0.563 | 51076.4 |
618 | 2022-01-13 01:19:29 | flaws | 1 | 28756 | 16 | 0.533 | 53951.2 |
617 | 2022-01-12 08:29:38 | flaws | 1 | 28756 | 16 | 0.876 | 32826.5 |
616 | 2022-01-11 23:03:04 | flaws | 1 | 28756 | 16 | 0.450 | 63902.2 |
615 | 2022-01-11 05:55:13 | flaws | 1 | 28756 | 16 | 0.500 | 57512.0 |