History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"sharp"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
746 | 2024-04-26 19:37:43 | sharp | 1 | 28756 | 9 | 0.513 | 56054.6 |
745 | 2024-04-23 07:46:24 | sharp | 2 | 53800 | 158 | 4.736 | 11359.8 |
744 | 2024-04-18 15:15:06 | sharp | 1 | 28756 | 9 | 1.436 | 20025.1 |
743 | 2024-04-12 23:21:36 | sharp | 1 | 28756 | 9 | 0.530 | 54256.6 |
742 | 2024-04-03 10:55:40 | sharp | 2 | 53800 | 158 | 4.376 | 12294.3 |
741 | 2024-04-03 10:55:26 | sharp | 1 | 28756 | 9 | 0.533 | 53951.2 |
740 | 2024-03-31 15:12:24 | sharp | 1 | 28756 | 9 | 0.846 | 33990.5 |
739 | 2024-03-29 02:58:11 | sharp | 2 | 53800 | 158 | 3.000 | 17933.3 |
738 | 2024-03-29 02:58:04 | sharp | 1 | 28756 | 9 | 1.096 | 26237.2 |
737 | 2024-03-29 02:57:55 | sharp | 2 | 53800 | 158 | 1.843 | 29191.5 |
736 | 2024-03-29 02:57:54 | sharp | 1 | 28756 | 9 | 0.546 | 52666.7 |
735 | 2024-03-04 07:28:23 | sharp | 2 | 53800 | 158 | 1.640 | 32804.9 |
734 | 2024-03-04 07:28:16 | sharp | 1 | 28756 | 9 | 0.563 | 51076.4 |
733 | 2024-03-01 07:30:32 | sharp | 1 | 28756 | 9 | 0.580 | 49579.3 |
732 | 2024-02-28 01:11:24 | sharp | 2 | 53800 | 158 | 1.813 | 29674.6 |
731 | 2024-02-28 01:11:14 | sharp | 1 | 28756 | 9 | 0.500 | 57512.0 |
730 | 2024-02-03 03:37:19 | sharp | 1 | 28756 | 9 | 0.486 | 59168.7 |
729 | 2024-01-29 00:23:47 | sharp | 1 | 28756 | 9 | 0.483 | 59536.2 |
728 | 2024-01-28 22:46:53 | sharp | 1 | 28756 | 9 | 0.530 | 54256.6 |
727 | 2024-01-16 14:49:37 | sharp | 1 | 28756 | 9 | 0.450 | 63902.2 |
726 | 2024-01-02 21:54:27 | sharp | 1 | 28756 | 9 | 0.640 | 44931.3 |
725 | 2023-12-24 20:29:05 | sharp | 2 | 53800 | 158 | 1.403 | 38346.4 |
724 | 2023-12-23 11:36:22 | sharp | 1 | 28756 | 9 | 0.483 | 59536.2 |
723 | 2023-11-19 10:58:35 | sharp | 1 | 28756 | 9 | 0.500 | 57512.0 |
722 | 2023-11-12 08:29:51 | sharp | 1 | 28756 | 9 | 0.500 | 57512.0 |
721 | 2023-11-11 11:21:18 | sharp | 1 | 28756 | 9 | 0.486 | 59168.7 |
720 | 2023-11-09 21:46:33 | sharp | 1 | 28756 | 9 | 0.436 | 65954.1 |
719 | 2023-10-24 04:43:52 | sharp | 1 | 28756 | 9 | 0.533 | 53951.2 |
718 | 2023-10-23 16:08:33 | sharp | 1 | 28756 | 9 | 0.516 | 55728.7 |
717 | 2023-10-20 15:47:25 | sharp | 1 | 28756 | 9 | 0.436 | 65954.1 |
716 | 2023-10-11 11:54:21 | sharp | 1 | 28756 | 9 | 0.500 | 57512.0 |
715 | 2023-10-05 17:25:52 | sharp | 1 | 28756 | 9 | 0.453 | 63479.0 |
714 | 2023-09-26 02:08:22 | sharp | 1 | 28756 | 9 | 1.000 | 28756.0 |
713 | 2023-09-19 22:25:46 | sharp | 1 | 28756 | 9 | 0.453 | 63479.0 |
712 | 2023-09-13 16:29:24 | sharp | 1 | 28756 | 9 | 0.453 | 63479.0 |
711 | 2023-08-19 01:55:13 | sharp | 1 | 28756 | 9 | 0.453 | 63479.0 |
710 | 2023-05-30 11:29:21 | sharp | 1 | 28756 | 9 | 0.440 | 65354.5 |
709 | 2023-05-22 19:36:50 | sharp | 1 | 28756 | 9 | 0.453 | 63479.0 |
708 | 2023-05-19 17:42:08 | sharp | 1 | 28756 | 9 | 0.436 | 65954.1 |
707 | 2023-03-27 06:35:36 | sharp | 1 | 28756 | 9 | 0.436 | 65954.1 |
706 | 2023-03-15 07:43:05 | sharp | 1 | 28756 | 9 | 0.533 | 53951.2 |
705 | 2023-02-14 08:52:04 | sharp | 1 | 28756 | 9 | 0.483 | 59536.2 |
704 | 2023-01-04 00:08:50 | sharp | 1 | 28756 | 9 | 0.436 | 65954.1 |
703 | 2022-10-24 11:25:34 | sharp | 1 | 28756 | 9 | 0.483 | 59536.2 |
702 | 2022-10-20 21:38:05 | sharp | 1 | 28756 | 9 | 0.453 | 63479.0 |
701 | 2022-09-29 13:04:54 | sharp | 1 | 28756 | 9 | 0.453 | 63479.0 |
700 | 2022-09-01 19:57:57 | sharp | 1 | 28756 | 9 | 0.453 | 63479.0 |
699 | 2022-08-07 19:27:35 | sharp | 1 | 28756 | 9 | 0.453 | 63479.0 |
698 | 2022-07-29 08:30:16 | sharp | 1 | 28756 | 9 | 0.453 | 63479.0 |
697 | 2022-07-17 22:58:36 | sharp | 1 | 28756 | 9 | 0.453 | 63479.0 |
696 | 2022-07-04 17:31:28 | sharp | 1 | 28756 | 9 | 0.453 | 63479.0 |
695 | 2022-07-03 02:47:57 | sharp | 1 | 28756 | 9 | 0.453 | 63479.0 |
694 | 2022-06-25 10:11:43 | sharp | 1 | 28756 | 9 | 0.483 | 59536.2 |
693 | 2022-06-08 22:57:26 | sharp | 1 | 28756 | 9 | 0.453 | 63479.0 |
692 | 2022-05-14 12:42:43 | sharp | 1 | 28756 | 9 | 0.453 | 63479.0 |
691 | 2022-05-12 07:32:44 | sharp | 1 | 28756 | 9 | 0.453 | 63479.0 |
690 | 2022-03-14 00:41:41 | sharp | 1 | 28756 | 9 | 0.500 | 57512.0 |
689 | 2022-01-26 22:57:06 | sharp | 1 | 28756 | 9 | 0.453 | 63479.0 |
688 | 2021-11-24 10:16:27 | sharp | 1 | 28756 | 9 | 0.580 | 49579.3 |
687 | 2021-11-23 14:42:40 | sharp | 1 | 28756 | 9 | 0.483 | 59536.2 |
686 | 2021-10-10 04:02:34 | sharp | 1 | 28756 | 9 | 0.500 | 57512.0 |
685 | 2021-09-21 03:45:29 | sharp | 1 | 28756 | 9 | 0.936 | 30722.2 |
684 | 2021-09-18 23:35:56 | sharp | 1 | 28756 | 9 | 0.500 | 57512.0 |
683 | 2021-08-17 06:46:11 | sharp | 1 | 28756 | 9 | 0.453 | 63479.0 |
682 | 2021-06-25 06:18:52 | sharp | 2 | 53800 | 158 | 1.406 | 38264.6 |
681 | 2021-05-13 05:59:22 | sharp | 1 | 28756 | 9 | 0.453 | 63479.0 |
680 | 2021-05-09 16:45:33 | sharp | 1 | 28756 | 9 | 0.500 | 57512.0 |
679 | 2021-05-06 13:28:54 | sharp | 1 | 28756 | 9 | 0.500 | 57512.0 |
678 | 2021-03-16 04:24:10 | sharp | 2 | 53800 | 158 | 1.733 | 31044.4 |
677 | 2021-03-06 19:57:50 | sharp | 2 | 53800 | 158 | 1.390 | 38705.0 |
676 | 2021-03-05 22:06:51 | sharp | 2 | 53800 | 158 | 1.423 | 37807.4 |
675 | 2021-03-04 08:27:52 | sharp | 2 | 53800 | 158 | 1.360 | 39558.8 |
674 | 2021-03-03 10:31:49 | sharp | 2 | 53800 | 158 | 1.390 | 38705.0 |
673 | 2021-02-13 11:32:02 | sharp | 1 | 28756 | 9 | 0.500 | 57512.0 |
672 | 2021-02-13 06:25:14 | sharp | 2 | 53800 | 158 | 1.406 | 38264.6 |
671 | 2021-02-04 03:59:17 | sharp | 1 | 28756 | 9 | 0.466 | 61708.2 |
670 | 2020-11-11 02:11:53 | sharp | 1 | 28756 | 9 | 0.453 | 63479.0 |
669 | 2020-11-08 20:13:40 | sharp | 2 | 53800 | 158 | 3.703 | 14528.8 |
668 | 2020-11-02 16:16:26 | sharp | 1 | 28756 | 9 | 0.453 | 63479.0 |
667 | 2020-10-27 22:40:11 | sharp | 2 | 53800 | 158 | 1.393 | 38621.7 |
666 | 2020-10-05 10:59:46 | sharp | 1 | 28756 | 9 | 0.436 | 65954.1 |
665 | 2020-09-07 15:29:29 | sharp | 2 | 53800 | 158 | 1.560 | 34487.2 |
664 | 2020-08-23 08:02:24 | sharp | 1 | 28756 | 9 | 0.516 | 55728.7 |
663 | 2020-08-15 16:48:03 | sharp | 2 | 53800 | 158 | 1.390 | 38705.0 |
662 | 2020-08-09 15:52:33 | sharp | 1 | 28756 | 9 | 0.500 | 57512.0 |
661 | 2020-08-07 20:39:18 | sharp | 1 | 28756 | 9 | 0.486 | 59168.7 |
660 | 2020-08-06 10:01:19 | sharp | 1 | 28756 | 9 | 0.500 | 57512.0 |
659 | 2020-07-30 17:57:56 | sharp | 1 | 28756 | 9 | 0.470 | 61183.0 |
658 | 2020-07-18 09:53:59 | sharp | 2 | 53800 | 158 | 1.470 | 36598.6 |
657 | 2020-07-16 07:13:49 | sharp | 2 | 53800 | 158 | 1.593 | 33772.8 |
656 | 2020-07-15 12:18:08 | sharp | 2 | 53800 | 158 | 1.453 | 37026.8 |
655 | 2020-07-14 03:05:27 | sharp | 2 | 53800 | 158 | 1.640 | 32804.9 |
654 | 2020-06-19 01:40:26 | sharp | 2 | 53800 | 158 | 1.513 | 35558.5 |
653 | 2020-06-15 08:28:31 | sharp | 2 | 53800 | 158 | 1.580 | 34050.6 |
652 | 2020-06-15 08:26:01 | sharp | 2 | 53800 | 158 | 1.423 | 37807.4 |
651 | 2020-06-11 16:21:27 | sharp | 2 | 53800 | 158 | 1.436 | 37465.2 |
650 | 2020-06-09 22:08:14 | sharp | 2 | 53800 | 158 | 1.513 | 35558.5 |
649 | 2020-06-06 03:14:40 | sharp | 2 | 53800 | 158 | 3.076 | 17490.2 |
648 | 2020-06-05 03:24:54 | sharp | 2 | 53800 | 158 | 1.376 | 39098.8 |
647 | 2020-06-03 03:18:55 | sharp | 2 | 53800 | 158 | 1.423 | 37807.4 |