History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"meats"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
803 | 2024-05-07 10:13:57 | meats | 1 | 28756 | 19 | 0.530 | 54256.6 |
802 | 2024-04-30 20:23:39 | meats | 1 | 28756 | 19 | 1.000 | 28756.0 |
801 | 2024-04-29 16:17:09 | meats | 2 | 53800 | 318 | 1.640 | 32804.9 |
800 | 2024-04-29 12:06:07 | meats | 1 | 28756 | 19 | 1.780 | 16155.1 |
799 | 2024-04-28 07:44:24 | meats | 1 | 28756 | 19 | 0.516 | 55728.7 |
798 | 2024-04-27 06:55:17 | meats | 1 | 28756 | 19 | 0.860 | 33437.2 |
797 | 2024-04-26 15:29:01 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
796 | 2024-04-02 20:39:34 | meats | 1 | 28756 | 19 | 0.483 | 59536.2 |
795 | 2024-03-31 02:04:00 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
794 | 2024-03-27 01:44:51 | meats | 1 | 28756 | 19 | 0.530 | 54256.6 |
793 | 2024-03-02 18:05:39 | meats | 2 | 53800 | 318 | 4.736 | 11359.8 |
792 | 2024-03-02 17:48:00 | meats | 1 | 28756 | 19 | 0.516 | 55728.7 |
791 | 2024-02-25 22:45:47 | meats | 2 | 53800 | 318 | 2.263 | 23773.8 |
790 | 2024-02-25 22:45:25 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 |
789 | 2024-02-12 05:54:52 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 |
788 | 2024-01-26 20:38:25 | meats | 1 | 28756 | 19 | 1.016 | 28303.1 |
787 | 2024-01-19 12:40:42 | meats | 1 | 28756 | 19 | 1.033 | 27837.4 |
786 | 2024-01-12 10:51:06 | meats | 2 | 53800 | 318 | 1.623 | 33148.5 |
785 | 2024-01-05 12:30:04 | meats | 2 | 53800 | 318 | 1.486 | 36204.6 |
784 | 2023-12-28 22:01:07 | meats | 1 | 28756 | 19 | 0.563 | 51076.4 |
783 | 2023-12-16 10:36:25 | meats | 1 | 28756 | 19 | 0.516 | 55728.7 |
782 | 2023-12-12 04:05:34 | meats | 2 | 53800 | 318 | 1.670 | 32215.6 |
781 | 2023-12-07 21:44:22 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
780 | 2023-12-07 21:44:21 | meats | 1 | 28756 | 19 | 0.513 | 56054.6 |
779 | 2023-12-05 11:03:07 | meats | 2 | 53800 | 318 | 1.500 | 35866.7 |
778 | 2023-12-04 17:56:03 | meats | 1 | 28756 | 19 | 0.466 | 61708.2 |
777 | 2023-12-04 17:56:02 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
776 | 2023-11-27 13:37:00 | meats | 1 | 28756 | 19 | 0.453 | 63479.0 |
775 | 2023-11-17 12:29:56 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 |
774 | 2023-11-16 00:32:56 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 |
773 | 2023-11-13 22:25:31 | meats | 1 | 28756 | 19 | 0.486 | 59168.7 |
772 | 2023-10-28 14:33:47 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 |
771 | 2023-10-24 14:29:42 | meats | 1 | 28756 | 19 | 0.453 | 63479.0 |
770 | 2023-10-20 15:10:12 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 |
769 | 2023-10-19 08:17:41 | meats | 1 | 28756 | 19 | 0.483 | 59536.2 |
768 | 2023-10-12 01:28:27 | meats | 1 | 28756 | 19 | 0.453 | 63479.0 |
767 | 2023-10-05 15:14:13 | meats | 2 | 53800 | 318 | 1.750 | 30742.9 |
766 | 2023-10-03 09:58:49 | meats | 1 | 28756 | 19 | 0.420 | 68466.7 |
765 | 2023-09-25 13:05:24 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 |
764 | 2023-09-25 10:46:07 | meats | 1 | 28756 | 19 | 0.440 | 65354.5 |
763 | 2023-09-12 20:51:16 | meats | 1 | 28756 | 19 | 0.440 | 65354.5 |
762 | 2023-09-03 17:08:54 | meats | 2 | 53800 | 318 | 1.500 | 35866.7 |
761 | 2023-09-02 19:38:33 | meats | 1 | 28756 | 19 | 0.483 | 59536.2 |
760 | 2023-07-19 03:36:15 | meats | 1 | 28756 | 19 | 0.486 | 59168.7 |
759 | 2023-07-15 06:55:40 | meats | 1 | 28756 | 19 | 0.486 | 59168.7 |
758 | 2023-06-07 23:13:25 | meats | 1 | 28756 | 19 | 0.423 | 67981.1 |
757 | 2023-04-11 06:26:15 | meats | 1 | 28756 | 19 | 0.530 | 54256.6 |
756 | 2023-03-29 16:42:35 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 |
755 | 2023-03-28 02:46:40 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 |
754 | 2023-01-24 18:44:10 | meats | 2 | 53800 | 318 | 1.563 | 34421.0 |
753 | 2023-01-20 02:37:41 | meats | 1 | 28756 | 19 | 0.483 | 59536.2 |
752 | 2023-01-12 09:14:27 | meats | 1 | 28756 | 19 | 0.420 | 68466.7 |
751 | 2023-01-02 09:51:36 | meats | 1 | 28756 | 19 | 0.440 | 65354.5 |
750 | 2022-12-18 09:05:12 | meats | 2 | 53800 | 318 | 1.656 | 32487.9 |
749 | 2022-12-16 07:13:21 | meats | 2 | 53800 | 318 | 1.533 | 35094.6 |
748 | 2022-12-06 02:15:17 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
747 | 2022-11-13 12:55:41 | meats | 1 | 28756 | 19 | 0.440 | 65354.5 |
746 | 2022-11-10 14:27:25 | meats | 1 | 28756 | 19 | 0.483 | 59536.2 |
745 | 2022-11-07 21:07:03 | meats | 2 | 53800 | 318 | 2.610 | 20613.0 |
744 | 2022-10-26 21:17:19 | meats | 1 | 28756 | 19 | 0.486 | 59168.7 |
743 | 2022-09-22 10:42:17 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 |
742 | 2022-09-10 16:15:09 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 |
741 | 2022-08-06 12:37:53 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 |
740 | 2022-06-22 00:07:38 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 |
739 | 2022-06-21 16:25:00 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 |
738 | 2022-06-18 04:46:02 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
737 | 2022-06-12 16:14:18 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
736 | 2022-06-10 14:14:34 | meats | 2 | 53800 | 318 | 1.610 | 33416.1 |
735 | 2022-05-06 21:08:24 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
734 | 2022-03-10 16:11:58 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
733 | 2022-02-25 14:03:14 | meats | 1 | 28756 | 19 | 0.560 | 51350.0 |
732 | 2022-02-20 14:43:13 | meats | 1 | 28756 | 19 | 0.516 | 55728.7 |
731 | 2021-12-31 09:43:14 | meats | 1 | 28756 | 19 | 0.563 | 51076.4 |
730 | 2021-12-23 02:47:35 | meats | 1 | 28756 | 19 | 0.513 | 56054.6 |
729 | 2021-12-10 07:28:12 | meats | 1 | 28756 | 19 | 0.453 | 63479.0 |
728 | 2021-11-20 17:33:00 | meats | 1 | 28756 | 19 | 0.453 | 63479.0 |
727 | 2021-11-20 14:28:12 | meats | 1 | 28756 | 19 | 0.516 | 55728.7 |
726 | 2021-11-12 16:51:59 | meats | 1 | 28756 | 19 | 0.530 | 54256.6 |
725 | 2021-11-01 02:31:37 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
724 | 2021-10-03 07:13:28 | meats | 1 | 28756 | 19 | 0.453 | 63479.0 |
723 | 2021-09-05 09:05:44 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
722 | 2021-08-21 03:39:36 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 |
721 | 2021-08-16 14:39:56 | meats | 1 | 28756 | 19 | 0.860 | 33437.2 |
720 | 2021-07-23 10:14:28 | meats | 1 | 28756 | 19 | 0.483 | 59536.2 |
719 | 2021-07-13 05:24:49 | meats | 1 | 28756 | 19 | 0.560 | 51350.0 |
718 | 2021-06-09 20:51:46 | meats | 1 | 28756 | 19 | 0.486 | 59168.7 |
717 | 2021-06-06 14:11:50 | meats | 1 | 28756 | 19 | 0.953 | 30174.2 |
716 | 2021-05-20 13:14:00 | meats | 1 | 28756 | 19 | 0.530 | 54256.6 |
715 | 2021-05-13 03:56:15 | meats | 1 | 28756 | 19 | 0.513 | 56054.6 |
714 | 2021-05-08 11:14:48 | meats | 1 | 28756 | 19 | 0.516 | 55728.7 |
713 | 2021-05-01 23:32:30 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
712 | 2021-04-15 17:29:53 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
711 | 2021-02-21 18:57:26 | meats | 1 | 28756 | 19 | 0.453 | 63479.0 |
710 | 2021-02-18 22:42:36 | meats | 1 | 28756 | 19 | 0.513 | 56054.6 |
709 | 2021-02-17 23:25:25 | meats | 1 | 28756 | 19 | 0.470 | 61183.0 |
708 | 2020-11-20 09:21:52 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 |
707 | 2020-11-13 18:55:14 | meats | 1 | 28756 | 19 | 0.486 | 59168.7 |
706 | 2020-10-29 11:41:43 | meats | 1 | 28756 | 19 | 0.483 | 59536.2 |
705 | 2020-10-19 19:47:57 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 |
704 | 2020-10-16 15:13:31 | meats | 1 | 28756 | 19 | 0.453 | 63479.0 |