History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"sternness"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
914 | 2025-06-14 17:42:03 | sternness | 3 | 148641 | 100 | 34.050 | 4365.4 |
913 | 2025-06-14 00:24:03 | sternness | 2 | 121436 | 5 | 20.453 | 5937.3 |
912 | 2025-06-13 22:59:26 | sternness | 3 | 148641 | 100 | 20.970 | 7088.3 |
911 | 2025-06-13 14:14:03 | sternness | 1 | 81242 | 1 | 2.063 | 39380.5 |
910 | 2025-06-10 03:45:16 | sternness | 1 | 81242 | 1 | 9.360 | 8679.7 |
909 | 2025-05-29 03:10:57 | sternness | 1 | 81242 | 1 | 5.546 | 14648.8 |
908 | 2025-05-27 17:17:17 | sternness | 3 | 148641 | 100 | 41.046 | 3621.3 |
907 | 2025-05-25 07:03:54 | sternness | 3 | 148641 | 100 | 7.610 | 19532.3 |
906 | 2025-05-24 02:29:17 | sternness | 1 | 81242 | 1 | 6.423 | 12648.6 |
905 | 2025-05-12 17:24:30 | sternness | 3 | 148641 | 100 | 33.703 | 4410.3 |
904 | 2025-05-12 00:11:50 | sternness | 2 | 121436 | 5 | 19.626 | 6187.5 |
903 | 2025-05-11 14:35:08 | sternness | 1 | 81242 | 1 | 8.186 | 9924.5 |
902 | 2025-05-07 01:19:18 | sternness | 1 | 81242 | 1 | 1.406 | 57782.4 |
901 | 2025-05-02 08:10:19 | sternness | 1 | 81242 | 1 | 9.283 | 8751.7 |
900 | 2025-04-23 00:16:00 | sternness | 1 | 81242 | 1 | 6.766 | 12007.4 |
899 | 2025-04-20 03:15:07 | sternness | 2 | 121436 | 5 | 16.533 | 7345.1 |
898 | 2025-04-19 02:51:39 | sternness | 1 | 81242 | 1 | 1.453 | 55913.3 |
897 | 2025-04-14 13:03:02 | sternness | 1 | 81242 | 1 | 7.530 | 10789.1 |
896 | 2025-04-12 13:55:22 | sternness | 4 | 165329 | 729 | 58.426 | 2829.7 |
895 | 2025-04-09 14:26:03 | sternness | 1 | 81242 | 1 | 10.360 | 7841.9 |
894 | 2025-04-07 11:23:43 | sternness | 4 | 165329 | 729 | 36.516 | 4527.6 |
893 | 2025-04-05 00:22:28 | sternness | 4 | 165329 | 729 | 11.020 | 15002.6 |
892 | 2025-04-02 21:39:52 | sternness | 4 | 165329 | 729 | 20.173 | 8195.6 |
891 | 2025-03-30 15:22:22 | sternness | 3 | 148641 | 100 | 7.360 | 20195.8 |
890 | 2025-03-23 09:26:20 | sternness | 3 | 148641 | 100 | 42.673 | 3483.3 |
889 | 2025-03-21 00:43:29 | sternness | 1 | 81242 | 1 | 9.033 | 8993.9 |
888 | 2025-03-18 21:10:18 | sternness | 3 | 148641 | 100 | 6.233 | 23847.4 |
887 | 2025-03-13 21:22:00 | sternness | 1 | 81242 | 1 | 5.296 | 15340.3 |
886 | 2025-03-13 04:57:57 | sternness | 3 | 148641 | 100 | 54.306 | 2737.1 |
885 | 2025-03-12 18:45:32 | sternness | 3 | 148641 | 100 | 43.393 | 3425.5 |
884 | 2025-03-12 18:45:27 | sternness | 2 | 121436 | 5 | 27.160 | 4471.1 |
883 | 2025-03-12 18:45:01 | sternness | 3 | 148641 | 100 | 39.610 | 3752.6 |
882 | 2025-03-12 18:25:10 | sternness | 1 | 81242 | 1 | 4.813 | 16879.7 |
881 | 2025-03-06 07:26:46 | sternness | 3 | 148641 | 100 | 44.220 | 3361.4 |
880 | 2025-03-05 23:45:21 | sternness | 3 | 148641 | 100 | 43.643 | 3405.8 |
879 | 2025-03-05 23:45:20 | sternness | 2 | 121436 | 5 | 17.876 | 6793.2 |
878 | 2025-03-05 23:41:38 | sternness | 1 | 81242 | 1 | 6.753 | 12030.5 |
877 | 2025-03-02 18:44:44 | sternness | 2 | 121436 | 5 | 14.673 | 8276.2 |
876 | 2025-03-01 20:10:03 | sternness | 1 | 81242 | 1 | 7.110 | 11426.4 |
875 | 2025-02-28 07:19:21 | sternness | 1 | 81242 | 1 | 4.733 | 17165.0 |
874 | 2025-01-27 09:59:39 | sternness | 3 | 148641 | 100 | 49.003 | 3033.3 |
873 | 2025-01-27 09:59:47 | sternness | 3 | 148641 | 100 | 30.140 | 4931.7 |
872 | 2025-01-27 09:59:42 | sternness | 2 | 121436 | 5 | 14.530 | 8357.6 |
871 | 2025-01-27 09:46:39 | sternness | 1 | 81242 | 1 | 7.843 | 10358.5 |
870 | 2025-01-26 21:54:17 | sternness | 1 | 81242 | 1 | 4.983 | 16303.8 |
869 | 2025-01-23 22:15:17 | sternness | 1 | 81242 | 1 | 9.826 | 8268.1 |
868 | 2025-01-23 06:22:03 | sternness | 1 | 81242 | 1 | 6.686 | 12151.1 |
867 | 2025-01-12 17:48:34 | sternness | 3 | 148641 | 100 | 38.796 | 3831.3 |
866 | 2024-12-26 22:09:52 | sternness | 3 | 148641 | 100 | 27.470 | 5411.0 |
865 | 2024-12-26 22:09:56 | sternness | 2 | 121436 | 5 | 17.546 | 6921.0 |
864 | 2024-12-26 19:27:56 | sternness | 1 | 81242 | 1 | 1.436 | 56575.2 |
863 | 2024-12-26 03:21:25 | sternness | 3 | 148641 | 100 | 35.250 | 4216.8 |
862 | 2024-12-26 02:01:31 | sternness | 3 | 148641 | 100 | 41.250 | 3603.4 |
861 | 2024-12-21 06:37:53 | sternness | 3 | 148641 | 100 | 39.910 | 3724.4 |
860 | 2024-12-21 06:37:56 | sternness | 3 | 148641 | 100 | 26.156 | 5682.9 |
859 | 2024-12-21 06:37:55 | sternness | 2 | 121436 | 5 | 15.580 | 7794.4 |
858 | 2024-12-21 06:32:01 | sternness | 1 | 81242 | 1 | 5.563 | 14604.0 |
857 | 2024-11-26 16:52:22 | sternness | 1 | 81242 | 1 | 3.643 | 22300.9 |
856 | 2024-11-01 01:27:31 | sternness | 3 | 148641 | 100 | 37.813 | 3930.9 |
855 | 2024-10-30 03:00:30 | sternness | 3 | 148641 | 100 | 19.110 | 7778.2 |
854 | 2024-10-29 09:49:39 | sternness | 3 | 148641 | 100 | 42.910 | 3464.0 |
853 | 2024-10-23 04:24:37 | sternness | 2 | 121436 | 5 | 23.280 | 5216.3 |
852 | 2024-10-23 04:24:10 | sternness | 1 | 81242 | 1 | 6.953 | 11684.5 |
851 | 2024-10-16 05:59:54 | sternness | 2 | 121436 | 5 | 27.110 | 4479.4 |
850 | 2024-10-16 05:56:56 | sternness | 1 | 81242 | 1 | 6.890 | 11791.3 |
849 | 2024-10-01 15:39:52 | sternness | 3 | 148641 | 100 | 56.206 | 2644.6 |
848 | 2024-09-25 03:48:37 | sternness | 3 | 148641 | 100 | 73.786 | 2014.5 |
847 | 2024-09-25 00:25:10 | sternness | 3 | 148641 | 100 | 30.063 | 4944.3 |
846 | 2024-09-24 15:41:12 | sternness | 2 | 121436 | 5 | 25.920 | 4685.0 |
845 | 2024-09-24 15:40:17 | sternness | 3 | 148641 | 100 | 59.550 | 2496.1 |
844 | 2024-09-24 15:40:17 | sternness | 2 | 121436 | 5 | 42.173 | 2879.5 |
843 | 2024-09-24 15:39:52 | sternness | 1 | 81242 | 1 | 7.546 | 10766.2 |
842 | 2024-09-10 13:50:08 | sternness | 1 | 81242 | 1 | 13.593 | 5976.8 |
841 | 2024-08-18 13:18:00 | sternness | 1 | 81242 | 1 | 4.720 | 17212.3 |
840 | 2024-08-09 01:07:25 | sternness | 3 | 148641 | 100 | 42.113 | 3529.6 |
839 | 2024-08-08 22:11:35 | sternness | 3 | 148641 | 100 | 39.766 | 3737.9 |
838 | 2024-08-07 08:57:39 | sternness | 3 | 148641 | 100 | 45.656 | 3255.7 |
837 | 2024-08-06 21:41:23 | sternness | 2 | 121436 | 5 | 14.300 | 8492.0 |
836 | 2024-08-06 21:41:10 | sternness | 3 | 148641 | 100 | 12.470 | 11919.9 |
835 | 2024-08-06 21:40:33 | sternness | 1 | 81242 | 1 | 4.936 | 16459.1 |
834 | 2024-08-06 20:21:55 | sternness | 4 | 165329 | 729 | 61.130 | 2704.5 |
833 | 2024-08-06 12:01:01 | sternness | 3 | 148641 | 100 | 28.580 | 5200.9 |
832 | 2024-08-06 10:08:34 | sternness | 3 | 148641 | 100 | 31.140 | 4773.3 |
831 | 2024-08-05 22:45:40 | sternness | 4 | 165329 | 729 | 59.813 | 2764.1 |
830 | 2024-08-05 21:30:43 | sternness | 4 | 165329 | 729 | 26.593 | 6217.0 |
829 | 2024-08-05 14:47:25 | sternness | 4 | 165329 | 729 | 64.736 | 2553.9 |
828 | 2024-08-05 09:11:45 | sternness | 4 | 165329 | 729 | 66.490 | 2486.5 |
827 | 2024-08-05 09:11:50 | sternness | 3 | 148641 | 100 | 27.000 | 5505.2 |
826 | 2024-08-05 09:11:52 | sternness | 2 | 121436 | 5 | 15.220 | 7978.7 |
825 | 2024-08-05 09:09:49 | sternness | 1 | 81242 | 1 | 2.690 | 30201.5 |
824 | 2024-08-02 11:49:24 | sternness | 1 | 81242 | 1 | 5.220 | 15563.6 |
823 | 2024-06-26 02:16:50 | sternness | 1 | 81242 | 1 | 7.906 | 10276.0 |
822 | 2024-06-17 19:53:47 | sternness | 4 | 165329 | 729 | 48.923 | 3379.4 |
821 | 2024-06-17 15:52:04 | sternness | 4 | 165329 | 729 | 49.923 | 3311.7 |
820 | 2024-06-16 17:40:51 | sternness | 4 | 165329 | 729 | 78.396 | 2108.9 |
819 | 2024-06-16 11:02:24 | sternness | 4 | 165329 | 729 | 45.596 | 3626.0 |
818 | 2024-06-16 10:38:13 | sternness | 4 | 165329 | 729 | 50.236 | 3291.0 |
817 | 2024-06-16 06:24:21 | sternness | 1 | 81242 | 1 | 4.826 | 16834.2 |
816 | 2024-06-16 04:35:02 | sternness | 4 | 165329 | 729 | 57.050 | 2898.0 |
815 | 2024-06-16 02:46:46 | sternness | 4 | 165329 | 729 | 42.033 | 3933.3 |