History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"herd"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
911 | 2025-09-01 07:58:56 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
910 | 2025-08-30 16:28:05 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
909 | 2025-08-28 14:39:06 | herd | 1 | 13983 | 17 | 0.220 | 63559.1 |
908 | 2025-08-28 01:01:39 | herd | 1 | 13983 | 17 | 0.233 | 60012.9 |
907 | 2025-08-25 01:16:37 | herd | 1 | 13983 | 17 | 1.080 | 12947.2 |
906 | 2025-08-19 12:16:37 | herd | 1 | 13983 | 17 | 0.970 | 14415.5 |
905 | 2025-08-04 08:41:59 | herd | 1 | 13983 | 17 | 0.703 | 19890.5 |
904 | 2025-08-04 07:02:08 | herd | 1 | 13983 | 17 | 0.500 | 27966.0 |
903 | 2025-08-04 01:10:34 | herd | 1 | 13983 | 17 | 0.656 | 21315.5 |
902 | 2025-08-01 14:11:20 | herd | 2 | 29872 | 263 | 2.186 | 13665.1 |
901 | 2025-07-31 10:56:38 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
900 | 2025-07-31 08:47:10 | herd | 1 | 13983 | 17 | 1.360 | 10281.6 |
899 | 2025-07-27 03:05:47 | herd | 1 | 13983 | 17 | 0.860 | 16259.3 |
898 | 2025-07-25 08:31:05 | herd | 1 | 13983 | 17 | 0.660 | 21186.4 |
897 | 2025-07-24 03:17:40 | herd | 1 | 13983 | 17 | 0.906 | 15433.8 |
896 | 2025-07-22 15:15:00 | herd | 1 | 13983 | 17 | 0.906 | 15433.8 |
895 | 2025-07-22 05:22:08 | herd | 1 | 13983 | 17 | 0.966 | 14475.2 |
894 | 2025-07-17 17:19:43 | herd | 1 | 13983 | 17 | 0.560 | 24969.6 |
893 | 2025-07-16 06:52:07 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
892 | 2025-07-13 20:57:03 | herd | 2 | 29872 | 263 | 4.470 | 6682.8 |
891 | 2025-07-12 10:05:26 | herd | 2 | 29872 | 263 | 0.873 | 34217.6 |
890 | 2025-07-11 22:13:45 | herd | 2 | 29872 | 263 | 0.890 | 33564.0 |
889 | 2025-07-09 22:29:37 | herd | 1 | 13983 | 17 | 0.593 | 23580.1 |
888 | 2025-07-05 04:15:23 | herd | 1 | 13983 | 17 | 0.263 | 53167.3 |
887 | 2025-07-05 01:39:26 | herd | 2 | 29872 | 263 | 4.296 | 6953.4 |
886 | 2025-07-04 00:19:23 | herd | 1 | 13983 | 17 | 0.673 | 20777.1 |
885 | 2025-07-01 15:56:41 | herd | 1 | 13983 | 17 | 0.500 | 27966.0 |
884 | 2025-06-30 06:07:28 | herd | 1 | 13983 | 17 | 1.080 | 12947.2 |
883 | 2025-06-29 09:30:51 | herd | 1 | 13983 | 17 | 0.233 | 60012.9 |
882 | 2025-06-28 18:44:01 | herd | 1 | 13983 | 17 | 0.233 | 60012.9 |
881 | 2025-06-28 07:43:48 | herd | 1 | 13983 | 17 | 1.186 | 11790.1 |
880 | 2025-06-28 01:23:05 | herd | 1 | 13983 | 17 | 1.500 | 9322.0 |
879 | 2025-06-27 20:50:57 | herd | 1 | 13983 | 17 | 1.466 | 9538.2 |
878 | 2025-06-23 16:20:45 | herd | 1 | 13983 | 17 | 0.220 | 63559.1 |
877 | 2025-06-17 00:21:17 | herd | 1 | 13983 | 17 | 1.876 | 7453.6 |
876 | 2025-06-16 19:34:18 | herd | 1 | 13983 | 17 | 0.670 | 20870.1 |
875 | 2025-06-16 00:48:59 | herd | 1 | 13983 | 17 | 0.703 | 19890.5 |
874 | 2025-06-11 09:43:02 | herd | 1 | 13983 | 17 | 0.236 | 59250.0 |
873 | 2025-06-09 22:01:37 | herd | 1 | 13983 | 17 | 0.733 | 19076.4 |
872 | 2025-06-09 20:36:08 | herd | 2 | 29872 | 263 | 4.110 | 7268.1 |
871 | 2025-06-09 06:45:18 | herd | 2 | 29872 | 263 | 0.750 | 39829.3 |
870 | 2025-06-08 20:21:48 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
869 | 2025-06-07 07:53:25 | herd | 1 | 13983 | 17 | 0.263 | 53167.3 |
868 | 2025-06-03 00:14:32 | herd | 1 | 13983 | 17 | 1.093 | 12793.2 |
867 | 2025-05-31 08:42:23 | herd | 1 | 13983 | 17 | 0.750 | 18644.0 |
866 | 2025-05-31 05:43:39 | herd | 1 | 13983 | 17 | 1.373 | 10184.3 |
865 | 2025-05-31 01:21:22 | herd | 1 | 13983 | 17 | 0.796 | 17566.6 |
864 | 2025-05-29 06:36:46 | herd | 1 | 13983 | 17 | 0.500 | 27966.0 |
863 | 2025-05-27 09:42:15 | herd | 1 | 13983 | 17 | 1.220 | 11461.5 |
862 | 2025-05-26 20:48:50 | herd | 1 | 13983 | 17 | 1.800 | 7768.3 |
861 | 2025-05-26 13:52:17 | herd | 1 | 13983 | 17 | 1.656 | 8443.8 |
860 | 2025-05-22 02:06:33 | herd | 1 | 13983 | 17 | 1.623 | 8615.5 |
859 | 2025-05-20 17:55:54 | herd | 1 | 13983 | 17 | 1.593 | 8777.8 |
858 | 2025-05-18 17:46:39 | herd | 2 | 29872 | 263 | 5.670 | 5268.4 |
857 | 2025-05-18 16:04:02 | herd | 2 | 29872 | 263 | 1.813 | 16476.6 |
856 | 2025-05-16 21:26:29 | herd | 2 | 29872 | 263 | 6.656 | 4488.0 |
855 | 2025-05-16 13:15:34 | herd | 1 | 13983 | 17 | 1.610 | 8685.1 |
854 | 2025-05-16 02:31:57 | herd | 1 | 13983 | 17 | 1.076 | 12995.4 |
853 | 2025-05-13 21:29:13 | herd | 2 | 29872 | 263 | 4.406 | 6779.8 |
852 | 2025-05-09 21:38:50 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 |
851 | 2025-05-09 18:35:05 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
850 | 2025-05-08 11:57:07 | herd | 1 | 13983 | 17 | 1.220 | 11461.5 |
849 | 2025-05-08 11:52:36 | herd | 1 | 13983 | 17 | 0.673 | 20777.1 |
848 | 2025-05-08 11:52:28 | herd | 1 | 13983 | 17 | 0.656 | 21315.5 |
847 | 2025-05-05 04:50:29 | herd | 1 | 13983 | 17 | 0.233 | 60012.9 |
846 | 2025-04-30 22:35:23 | herd | 1 | 13983 | 17 | 0.970 | 14415.5 |
845 | 2025-04-30 08:49:46 | herd | 2 | 29872 | 263 | 6.470 | 4617.0 |
844 | 2025-04-29 05:01:04 | herd | 1 | 13983 | 17 | 0.673 | 20777.1 |
843 | 2025-04-28 10:02:30 | herd | 2 | 29872 | 263 | 6.250 | 4779.5 |
842 | 2025-04-27 06:40:57 | herd | 1 | 13983 | 17 | 0.216 | 64736.1 |
841 | 2025-04-22 11:05:52 | herd | 2 | 29872 | 263 | 0.890 | 33564.0 |
840 | 2025-04-16 12:54:07 | herd | 2 | 29872 | 263 | 5.643 | 5293.6 |
839 | 2025-04-14 12:48:42 | herd | 1 | 13983 | 17 | 0.703 | 19890.5 |
838 | 2025-04-13 15:29:23 | herd | 2 | 29872 | 263 | 1.923 | 15534.1 |
837 | 2025-04-07 21:10:13 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
836 | 2025-04-07 07:34:06 | herd | 1 | 13983 | 17 | 0.686 | 20383.4 |
835 | 2025-04-05 01:49:07 | herd | 1 | 13983 | 17 | 0.236 | 59250.0 |
834 | 2025-04-02 00:42:23 | herd | 1 | 13983 | 17 | 1.550 | 9021.3 |
833 | 2025-03-27 08:06:18 | herd | 1 | 13983 | 17 | 1.186 | 11790.1 |
832 | 2025-03-21 02:30:16 | herd | 1 | 13983 | 17 | 1.140 | 12265.8 |
831 | 2025-03-17 07:10:05 | herd | 1 | 13983 | 17 | 1.123 | 12451.5 |
830 | 2025-03-15 01:57:17 | herd | 2 | 29872 | 263 | 3.313 | 9016.6 |
829 | 2025-03-15 01:43:32 | herd | 1 | 13983 | 17 | 0.843 | 16587.2 |
828 | 2025-03-14 21:28:35 | herd | 1 | 13983 | 17 | 2.656 | 5264.7 |
827 | 2025-03-13 23:53:22 | herd | 1 | 13983 | 17 | 1.343 | 10411.8 |
826 | 2025-03-06 09:38:20 | herd | 1 | 13983 | 17 | 0.953 | 14672.6 |
825 | 2025-03-05 22:32:32 | herd | 1 | 13983 | 17 | 1.250 | 11186.4 |
824 | 2025-02-26 03:37:19 | herd | 2 | 29872 | 263 | 5.800 | 5150.3 |
823 | 2025-02-25 05:51:03 | herd | 2 | 29872 | 263 | 1.936 | 15429.8 |
822 | 2025-02-25 05:22:30 | herd | 1 | 13983 | 17 | 0.233 | 60012.9 |
821 | 2025-02-25 04:26:31 | herd | 2 | 29872 | 263 | 2.000 | 14936.0 |
820 | 2025-02-25 04:15:23 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
819 | 2025-02-23 03:43:15 | herd | 1 | 13983 | 17 | 0.733 | 19076.4 |
818 | 2025-02-05 13:07:16 | herd | 1 | 13983 | 17 | 0.686 | 20383.4 |
817 | 2025-02-04 05:10:11 | herd | 2 | 29872 | 263 | 0.736 | 40587.0 |
816 | 2025-02-04 05:09:51 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
815 | 2025-01-26 06:15:53 | herd | 2 | 29872 | 263 | 0.843 | 35435.3 |
814 | 2025-01-26 03:43:16 | herd | 2 | 29872 | 263 | 6.516 | 4584.4 |
813 | 2025-01-26 03:31:42 | herd | 1 | 13983 | 17 | 0.610 | 22923.0 |
812 | 2025-01-26 00:48:52 | herd | 2 | 29872 | 263 | 4.156 | 7187.7 |