History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"means"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
862 | 2024-04-06 20:20:29 | means | 1 | 28756 | 16 | 1.483 | 19390.4 |
861 | 2024-04-02 18:43:35 | means | 1 | 28756 | 16 | 1.736 | 16564.5 |
860 | 2024-03-31 02:48:27 | means | 1 | 28756 | 16 | 0.563 | 51076.4 |
859 | 2024-03-28 23:57:40 | means | 2 | 53800 | 264 | 2.953 | 18218.8 |
858 | 2024-03-28 23:08:08 | means | 1 | 28756 | 16 | 0.516 | 55728.7 |
857 | 2024-03-14 00:27:45 | means | 1 | 28756 | 16 | 0.906 | 31739.5 |
856 | 2024-03-02 17:58:50 | means | 1 | 28756 | 16 | 1.780 | 16155.1 |
855 | 2024-02-27 20:33:05 | means | 1 | 28756 | 16 | 0.486 | 59168.7 |
854 | 2024-02-23 00:27:55 | means | 1 | 28756 | 16 | 1.063 | 27051.7 |
853 | 2024-02-18 03:33:46 | means | 1 | 28756 | 16 | 0.516 | 55728.7 |
852 | 2024-01-28 23:30:45 | means | 1 | 28756 | 16 | 0.483 | 59536.2 |
851 | 2024-01-09 09:53:23 | means | 2 | 53800 | 264 | 1.390 | 38705.0 |
850 | 2024-01-01 20:20:44 | means | 1 | 28756 | 16 | 0.530 | 54256.6 |
849 | 2023-12-28 23:38:01 | means | 2 | 53800 | 264 | 1.593 | 33772.8 |
848 | 2023-12-26 02:49:52 | means | 2 | 53800 | 264 | 1.610 | 33416.1 |
847 | 2023-12-15 21:27:55 | means | 1 | 28756 | 16 | 0.440 | 65354.5 |
846 | 2023-12-15 08:39:11 | means | 1 | 28756 | 16 | 0.486 | 59168.7 |
845 | 2023-12-03 19:40:07 | means | 1 | 28756 | 16 | 0.486 | 59168.7 |
844 | 2023-12-03 19:40:06 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
843 | 2023-11-25 22:17:19 | means | 2 | 53800 | 264 | 1.640 | 32804.9 |
842 | 2023-11-21 22:02:50 | means | 1 | 28756 | 16 | 0.533 | 53951.2 |
841 | 2023-11-20 02:18:06 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
840 | 2023-11-16 02:47:29 | means | 1 | 28756 | 16 | 0.593 | 48492.4 |
839 | 2023-11-14 04:43:33 | means | 1 | 28756 | 16 | 0.436 | 65954.1 |
838 | 2023-11-13 11:45:09 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
837 | 2023-11-07 10:58:52 | means | 1 | 28756 | 16 | 0.563 | 51076.4 |
836 | 2023-11-07 10:58:43 | means | 1 | 28756 | 16 | 1.720 | 16718.6 |
835 | 2023-10-30 03:29:44 | means | 1 | 28756 | 16 | 0.530 | 54256.6 |
834 | 2023-10-23 19:32:38 | means | 1 | 28756 | 16 | 0.513 | 56054.6 |
833 | 2023-10-21 22:14:10 | means | 1 | 28756 | 16 | 0.436 | 65954.1 |
832 | 2023-10-19 01:56:33 | means | 1 | 28756 | 16 | 0.453 | 63479.0 |
831 | 2023-10-12 01:28:22 | means | 1 | 28756 | 16 | 0.470 | 61183.0 |
830 | 2023-10-03 21:06:54 | means | 1 | 28756 | 16 | 0.483 | 59536.2 |
829 | 2023-10-03 16:09:18 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
828 | 2023-09-23 22:39:45 | means | 1 | 28756 | 16 | 0.456 | 63061.4 |
827 | 2023-09-12 20:51:09 | means | 1 | 28756 | 16 | 0.436 | 65954.1 |
826 | 2023-07-15 19:39:12 | means | 1 | 28756 | 16 | 0.436 | 65954.1 |
825 | 2023-07-14 12:19:29 | means | 1 | 28756 | 16 | 0.546 | 52666.7 |
824 | 2023-04-28 13:46:52 | means | 1 | 28756 | 16 | 0.436 | 65954.1 |
823 | 2023-04-06 21:25:20 | means | 1 | 28756 | 16 | 0.420 | 68466.7 |
822 | 2023-02-21 15:47:11 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
821 | 2023-01-01 15:42:46 | means | 1 | 28756 | 16 | 1.033 | 27837.4 |
820 | 2022-12-19 05:36:02 | means | 1 | 28756 | 16 | 0.420 | 68466.7 |
819 | 2022-09-25 08:20:56 | means | 1 | 28756 | 16 | 0.436 | 65954.1 |
818 | 2022-09-19 14:09:46 | means | 1 | 28756 | 16 | 0.436 | 65954.1 |
817 | 2022-09-01 17:51:55 | means | 1 | 28756 | 16 | 0.466 | 61708.2 |
816 | 2022-08-30 08:49:53 | means | 1 | 28756 | 16 | 0.466 | 61708.2 |
815 | 2022-08-14 16:33:11 | means | 1 | 28756 | 16 | 0.436 | 65954.1 |
814 | 2022-07-29 00:46:11 | means | 1 | 28756 | 16 | 0.436 | 65954.1 |
813 | 2022-06-19 08:33:05 | means | 1 | 28756 | 16 | 0.530 | 54256.6 |
812 | 2022-04-14 22:38:07 | means | 1 | 28756 | 16 | 0.546 | 52666.7 |
811 | 2022-03-15 13:52:25 | means | 1 | 28756 | 16 | 0.533 | 53951.2 |
810 | 2022-03-13 22:11:44 | means | 1 | 28756 | 16 | 0.530 | 54256.6 |
809 | 2022-03-13 18:34:18 | means | 1 | 28756 | 16 | 0.456 | 63061.4 |
808 | 2022-03-12 13:02:57 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
807 | 2022-03-05 01:17:51 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
806 | 2022-01-10 16:00:53 | means | 1 | 28756 | 16 | 0.516 | 55728.7 |
805 | 2021-12-23 23:44:36 | means | 1 | 28756 | 16 | 0.486 | 59168.7 |
804 | 2021-12-22 22:46:17 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
803 | 2021-12-21 23:39:34 | means | 1 | 28756 | 16 | 0.513 | 56054.6 |
802 | 2021-12-20 21:41:25 | means | 1 | 28756 | 16 | 0.623 | 46157.3 |
801 | 2021-12-10 03:42:37 | means | 1 | 28756 | 16 | 0.513 | 56054.6 |
800 | 2021-12-06 21:10:16 | means | 1 | 28756 | 16 | 0.450 | 63902.2 |
799 | 2021-11-12 21:06:42 | means | 1 | 28756 | 16 | 0.546 | 52666.7 |
798 | 2021-11-10 19:34:56 | means | 1 | 28756 | 16 | 0.440 | 65354.5 |
797 | 2021-10-02 15:51:28 | means | 1 | 28756 | 16 | 0.486 | 59168.7 |
796 | 2021-09-02 19:38:51 | means | 1 | 28756 | 16 | 0.436 | 65954.1 |
795 | 2021-08-31 04:58:57 | means | 1 | 28756 | 16 | 0.453 | 63479.0 |
794 | 2021-08-13 18:50:13 | means | 1 | 28756 | 16 | 0.450 | 63902.2 |
793 | 2021-07-28 01:32:25 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
792 | 2021-05-29 19:59:18 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
791 | 2021-05-23 15:27:32 | means | 1 | 28756 | 16 | 0.560 | 51350.0 |
790 | 2021-05-22 19:05:25 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
789 | 2021-05-19 03:29:06 | means | 1 | 28756 | 16 | 0.440 | 65354.5 |
788 | 2021-04-07 17:21:21 | means | 1 | 28756 | 16 | 0.483 | 59536.2 |
787 | 2021-04-02 22:32:42 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
786 | 2021-03-21 23:23:58 | means | 1 | 28756 | 16 | 0.483 | 59536.2 |
785 | 2021-02-27 03:13:19 | means | 1 | 28756 | 16 | 0.453 | 63479.0 |
784 | 2021-02-27 02:58:56 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
783 | 2021-02-27 02:41:11 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
782 | 2021-02-27 02:37:40 | means | 1 | 28756 | 16 | 0.483 | 59536.2 |
781 | 2021-02-12 05:32:58 | means | 1 | 28756 | 16 | 0.436 | 65954.1 |
780 | 2021-02-10 09:54:57 | means | 1 | 28756 | 16 | 0.516 | 55728.7 |
779 | 2021-01-31 13:22:33 | means | 1 | 28756 | 16 | 0.466 | 61708.2 |
778 | 2021-01-03 18:12:50 | means | 1 | 28756 | 16 | 0.436 | 65954.1 |
777 | 2020-11-22 10:03:43 | means | 1 | 28756 | 16 | 0.470 | 61183.0 |
776 | 2020-10-31 16:13:10 | means | 1 | 28756 | 16 | 0.453 | 63479.0 |
775 | 2020-10-28 08:44:38 | means | 1 | 28756 | 16 | 0.453 | 63479.0 |
774 | 2020-10-22 20:02:16 | means | 1 | 28756 | 16 | 0.516 | 55728.7 |
773 | 2020-10-22 12:56:34 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
772 | 2020-10-13 14:48:25 | means | 1 | 28756 | 16 | 0.530 | 54256.6 |
771 | 2020-09-25 02:55:37 | means | 1 | 28756 | 16 | 0.453 | 63479.0 |
770 | 2020-09-07 05:38:43 | means | 1 | 28756 | 16 | 0.420 | 68466.7 |
769 | 2020-08-31 07:24:22 | means | 1 | 28756 | 16 | 0.436 | 65954.1 |
768 | 2020-08-21 08:01:15 | means | 1 | 28756 | 16 | 0.590 | 48739.0 |
767 | 2020-08-14 08:04:41 | means | 1 | 28756 | 16 | 0.560 | 51350.0 |
766 | 2020-08-13 22:37:03 | means | 1 | 28756 | 16 | 0.500 | 57512.0 |
765 | 2020-07-22 12:30:13 | means | 1 | 28756 | 16 | 0.470 | 61183.0 |
764 | 2020-06-21 12:46:49 | means | 1 | 28756 | 16 | 0.640 | 44931.3 |
763 | 2020-06-20 12:36:30 | means | 1 | 28756 | 16 | 0.530 | 54256.6 |