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 |
947 | 2025-08-19 16:52:30 | sternness | 3 | 148641 | 100 | 44.376 | 3349.6 |
946 | 2025-08-17 19:44:59 | sternness | 3 | 148641 | 100 | 21.750 | 6834.1 |
945 | 2025-08-15 02:15:17 | sternness | 1 | 81242 | 1 | 7.190 | 11299.3 |
944 | 2025-08-13 01:23:07 | sternness | 3 | 148641 | 100 | 27.253 | 5454.1 |
943 | 2025-08-07 05:34:40 | sternness | 4 | 165329 | 729 | 67.910 | 2434.5 |
942 | 2025-08-06 21:12:26 | sternness | 3 | 148641 | 100 | 17.470 | 8508.4 |
941 | 2025-08-02 18:31:48 | sternness | 4 | 165329 | 729 | 42.003 | 3936.1 |
940 | 2025-07-31 10:06:39 | sternness | 1 | 81242 | 1 | 1.453 | 55913.3 |
939 | 2025-07-31 06:52:58 | sternness | 2 | 121436 | 5 | 5.283 | 22986.2 |
938 | 2025-07-31 05:54:22 | sternness | 4 | 165329 | 729 | 12.343 | 13394.6 |
937 | 2025-07-31 04:32:03 | sternness | 1 | 81242 | 1 | 1.466 | 55417.5 |
936 | 2025-07-30 20:24:29 | sternness | 4 | 165329 | 729 | 57.893 | 2855.8 |
935 | 2025-07-29 23:17:00 | sternness | 4 | 165329 | 729 | 30.910 | 5348.7 |
934 | 2025-07-27 11:32:24 | sternness | 1 | 81242 | 1 | 4.360 | 18633.5 |
933 | 2025-07-26 22:56:20 | sternness | 4 | 165329 | 729 | 72.316 | 2286.2 |
932 | 2025-07-25 13:59:05 | sternness | 1 | 81242 | 1 | 3.610 | 22504.7 |
931 | 2025-07-24 17:38:00 | sternness | 4 | 165329 | 729 | 59.813 | 2764.1 |
930 | 2025-07-21 16:40:40 | sternness | 3 | 148641 | 100 | 7.970 | 18650.1 |
929 | 2025-07-18 21:35:07 | sternness | 1 | 81242 | 1 | 5.343 | 15205.3 |
928 | 2025-07-18 18:41:15 | sternness | 3 | 148641 | 100 | 19.330 | 7689.7 |
927 | 2025-07-18 00:59:37 | sternness | 1 | 81242 | 1 | 3.250 | 24997.5 |
926 | 2025-07-15 05:28:54 | sternness | 2 | 121436 | 5 | 15.546 | 7811.4 |
925 | 2025-07-15 05:16:37 | sternness | 2 | 121436 | 5 | 19.360 | 6272.5 |
924 | 2025-07-15 04:17:19 | sternness | 3 | 148641 | 100 | 29.813 | 4985.8 |
923 | 2025-07-13 15:00:31 | sternness | 1 | 81242 | 1 | 2.813 | 28880.9 |
922 | 2025-07-13 03:56:04 | sternness | 1 | 81242 | 1 | 4.156 | 19548.1 |
921 | 2025-06-28 10:32:24 | sternness | 3 | 148641 | 100 | 33.693 | 4411.6 |
920 | 2025-06-25 12:10:24 | sternness | 2 | 121436 | 5 | 10.060 | 12071.2 |
919 | 2025-06-22 08:37:58 | sternness | 3 | 148641 | 100 | 35.676 | 4166.4 |
918 | 2025-06-18 11:43:12 | sternness | 3 | 148641 | 100 | 34.190 | 4347.5 |
917 | 2025-06-17 00:20:06 | sternness | 2 | 121436 | 5 | 24.736 | 4909.3 |
916 | 2025-06-16 17:09:45 | sternness | 3 | 148641 | 100 | 30.223 | 4918.1 |
915 | 2025-06-15 19:43:38 | sternness | 2 | 121436 | 5 | 16.846 | 7208.6 |
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 |