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 |
958 | 2025-10-17 18:14:57 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
957 | 2025-10-17 04:09:51 | herd | 1 | 13983 | 17 | 0.216 | 64736.1 |
956 | 2025-10-12 17:26:01 | herd | 1 | 13983 | 17 | 0.280 | 49939.3 |
955 | 2025-10-08 17:37:00 | herd | 1 | 13983 | 17 | 0.500 | 27966.0 |
954 | 2025-10-07 14:46:51 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
953 | 2025-10-06 11:47:42 | herd | 1 | 13983 | 17 | 0.233 | 60012.9 |
952 | 2025-10-06 06:03:58 | herd | 1 | 13983 | 17 | 0.236 | 59250.0 |
951 | 2025-10-05 07:52:43 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 |
950 | 2025-10-04 04:21:26 | herd | 1 | 13983 | 17 | 0.843 | 16587.2 |
949 | 2025-10-02 21:27:43 | herd | 1 | 13983 | 17 | 0.236 | 59250.0 |
948 | 2025-10-01 10:59:51 | herd | 2 | 29872 | 263 | 0.906 | 32971.3 |
947 | 2025-09-30 20:32:50 | herd | 1 | 13983 | 17 | 0.236 | 59250.0 |
946 | 2025-09-30 12:54:06 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
945 | 2025-09-29 10:14:30 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
944 | 2025-09-28 07:18:48 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
943 | 2025-09-27 04:58:00 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
942 | 2025-09-26 05:24:12 | herd | 1 | 13983 | 17 | 0.216 | 64736.1 |
941 | 2025-09-25 21:12:38 | herd | 1 | 13983 | 17 | 0.673 | 20777.1 |
940 | 2025-09-24 22:30:05 | herd | 1 | 13983 | 17 | 0.280 | 49939.3 |
939 | 2025-09-24 06:18:41 | herd | 1 | 13983 | 17 | 0.220 | 63559.1 |
938 | 2025-09-23 20:35:07 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
937 | 2025-09-23 05:47:21 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
936 | 2025-09-22 20:59:37 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
935 | 2025-09-22 10:46:53 | herd | 1 | 13983 | 17 | 0.233 | 60012.9 |
934 | 2025-09-22 03:56:34 | herd | 1 | 13983 | 17 | 0.220 | 63559.1 |
933 | 2025-09-21 12:44:44 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
932 | 2025-09-20 17:44:00 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
931 | 2025-09-19 19:22:15 | herd | 2 | 29872 | 263 | 0.843 | 35435.3 |
930 | 2025-09-19 09:56:44 | herd | 1 | 13983 | 17 | 0.220 | 63559.1 |
929 | 2025-09-17 06:27:48 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
928 | 2025-09-16 18:15:45 | herd | 1 | 13983 | 17 | 0.216 | 64736.1 |
927 | 2025-09-15 18:59:44 | herd | 1 | 13983 | 17 | 0.263 | 53167.3 |
926 | 2025-09-15 11:42:36 | herd | 1 | 13983 | 17 | 0.233 | 60012.9 |
925 | 2025-09-15 03:33:59 | herd | 1 | 13983 | 17 | 0.233 | 60012.9 |
924 | 2025-09-15 01:26:35 | herd | 1 | 13983 | 17 | 0.393 | 35580.2 |
923 | 2025-09-13 20:34:54 | herd | 1 | 13983 | 17 | 0.263 | 53167.3 |
922 | 2025-09-13 14:12:52 | herd | 1 | 13983 | 17 | 0.236 | 59250.0 |
921 | 2025-09-12 13:32:19 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
920 | 2025-09-12 06:15:49 | herd | 1 | 13983 | 17 | 0.513 | 27257.3 |
919 | 2025-09-11 05:01:39 | herd | 1 | 13983 | 17 | 0.236 | 59250.0 |
918 | 2025-09-09 19:55:45 | herd | 1 | 13983 | 17 | 0.220 | 63559.1 |
917 | 2025-09-08 22:04:42 | herd | 1 | 13983 | 17 | 0.233 | 60012.9 |
916 | 2025-09-08 04:09:20 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
915 | 2025-09-06 19:31:35 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 |
914 | 2025-09-05 20:41:53 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 |
913 | 2025-09-03 18:01:12 | herd | 1 | 13983 | 17 | 0.236 | 59250.0 |
912 | 2025-09-03 06:34:17 | herd | 1 | 13983 | 17 | 0.216 | 64736.1 |
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 |