History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"cask"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
961 | 2025-08-12 18:31:07 | cask | 1 | 13983 | 14 | 1.123 | 12451.5 |
960 | 2025-08-04 13:22:47 | cask | 1 | 13983 | 14 | 1.126 | 12418.3 |
959 | 2025-08-01 18:18:01 | cask | 1 | 13983 | 14 | 1.500 | 9322.0 |
958 | 2025-07-31 04:38:44 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
957 | 2025-07-27 04:39:04 | cask | 2 | 29872 | 240 | 2.000 | 14936.0 |
956 | 2025-07-26 22:26:49 | cask | 1 | 13983 | 14 | 1.063 | 13154.3 |
955 | 2025-07-26 16:59:29 | cask | 1 | 13983 | 14 | 0.903 | 15485.0 |
954 | 2025-07-24 03:00:17 | cask | 1 | 13983 | 14 | 1.453 | 9623.5 |
953 | 2025-07-23 12:27:18 | cask | 1 | 13983 | 14 | 1.360 | 10281.6 |
952 | 2025-07-23 04:22:40 | cask | 1 | 13983 | 14 | 0.310 | 45106.5 |
951 | 2025-07-22 11:32:22 | cask | 1 | 13983 | 14 | 1.403 | 9966.5 |
950 | 2025-07-17 09:34:31 | cask | 1 | 13983 | 14 | 0.483 | 28950.3 |
949 | 2025-07-13 17:29:16 | cask | 1 | 13983 | 14 | 0.623 | 22444.6 |
948 | 2025-07-09 11:07:45 | cask | 2 | 29872 | 240 | 0.953 | 31345.2 |
947 | 2025-07-08 17:11:53 | cask | 1 | 13983 | 14 | 0.220 | 63559.1 |
946 | 2025-07-08 16:06:24 | cask | 2 | 29872 | 240 | 2.360 | 12657.6 |
945 | 2025-07-07 00:23:33 | cask | 2 | 29872 | 240 | 2.716 | 10998.5 |
944 | 2025-07-05 19:52:42 | cask | 2 | 29872 | 240 | 0.936 | 31914.5 |
943 | 2025-07-04 08:02:08 | cask | 1 | 13983 | 14 | 0.966 | 14475.2 |
942 | 2025-07-03 12:38:45 | cask | 1 | 13983 | 14 | 1.706 | 8196.4 |
941 | 2025-07-02 00:50:09 | cask | 2 | 29872 | 240 | 2.233 | 13377.5 |
940 | 2025-07-01 22:44:36 | cask | 2 | 29872 | 240 | 4.873 | 6130.1 |
939 | 2025-06-30 17:30:36 | cask | 1 | 13983 | 14 | 1.500 | 9322.0 |
938 | 2025-06-30 11:02:46 | cask | 2 | 29872 | 240 | 4.626 | 6457.4 |
937 | 2025-06-29 03:10:10 | cask | 1 | 13983 | 14 | 0.266 | 52567.7 |
936 | 2025-06-25 23:37:12 | cask | 1 | 13983 | 14 | 1.623 | 8615.5 |
935 | 2025-06-14 02:58:20 | cask | 1 | 13983 | 14 | 0.346 | 40413.3 |
934 | 2025-06-05 22:22:03 | cask | 1 | 13983 | 14 | 1.453 | 9623.5 |
933 | 2025-06-03 11:58:17 | cask | 1 | 13983 | 14 | 0.263 | 53167.3 |
932 | 2025-06-01 22:10:45 | cask | 2 | 29872 | 240 | 4.610 | 6479.8 |
931 | 2025-06-01 00:19:27 | cask | 2 | 29872 | 240 | 4.953 | 6031.1 |
930 | 2025-05-31 17:15:56 | cask | 1 | 13983 | 14 | 1.000 | 13983.0 |
929 | 2025-05-29 16:23:19 | cask | 1 | 13983 | 14 | 0.750 | 18644.0 |
928 | 2025-05-29 09:36:34 | cask | 1 | 13983 | 14 | 1.406 | 9945.2 |
927 | 2025-05-29 09:31:54 | cask | 2 | 29872 | 240 | 4.563 | 6546.6 |
926 | 2025-05-28 21:31:22 | cask | 1 | 13983 | 14 | 0.670 | 20870.1 |
925 | 2025-05-28 04:34:31 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
924 | 2025-05-27 23:01:56 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
923 | 2025-05-23 09:26:39 | cask | 2 | 29872 | 240 | 4.686 | 6374.7 |
922 | 2025-05-21 13:31:18 | cask | 1 | 13983 | 14 | 0.263 | 53167.3 |
921 | 2025-05-18 22:45:03 | cask | 1 | 13983 | 14 | 0.563 | 24836.6 |
920 | 2025-05-18 12:54:06 | cask | 1 | 13983 | 14 | 2.063 | 6778.0 |
919 | 2025-05-16 08:01:48 | cask | 1 | 13983 | 14 | 0.843 | 16587.2 |
918 | 2025-05-14 02:57:45 | cask | 1 | 13983 | 14 | 0.970 | 14415.5 |
917 | 2025-05-13 17:53:47 | cask | 1 | 13983 | 14 | 1.360 | 10281.6 |
916 | 2025-05-12 11:55:33 | cask | 2 | 29872 | 240 | 2.216 | 13480.1 |
915 | 2025-05-10 16:21:33 | cask | 2 | 29872 | 240 | 4.580 | 6522.3 |
914 | 2025-05-08 16:43:11 | cask | 1 | 13983 | 14 | 1.483 | 9428.9 |
913 | 2025-05-05 21:30:38 | cask | 1 | 13983 | 14 | 1.186 | 11790.1 |
912 | 2025-05-03 11:39:31 | cask | 1 | 13983 | 14 | 1.343 | 10411.8 |
911 | 2025-05-02 00:30:40 | cask | 2 | 29872 | 240 | 3.783 | 7896.4 |
910 | 2025-05-01 21:56:52 | cask | 2 | 29872 | 240 | 2.093 | 14272.3 |
909 | 2025-05-01 17:21:44 | cask | 2 | 29872 | 240 | 1.033 | 28917.7 |
908 | 2025-04-30 17:15:35 | cask | 2 | 29872 | 240 | 4.563 | 6546.6 |
907 | 2025-04-27 18:57:15 | cask | 1 | 13983 | 14 | 0.266 | 52567.7 |
906 | 2025-04-24 08:35:32 | cask | 2 | 29872 | 240 | 4.563 | 6546.6 |
905 | 2025-04-14 07:34:29 | cask | 1 | 13983 | 14 | 0.906 | 15433.8 |
904 | 2025-04-13 11:09:54 | cask | 1 | 13983 | 14 | 0.233 | 60012.9 |
903 | 2025-04-13 02:27:30 | cask | 1 | 13983 | 14 | 0.486 | 28771.6 |
902 | 2025-04-12 11:21:37 | cask | 2 | 29872 | 240 | 3.046 | 9807.0 |
901 | 2025-04-09 15:41:50 | cask | 2 | 29872 | 240 | 2.736 | 10918.1 |
900 | 2025-04-08 16:06:19 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
899 | 2025-04-02 11:36:45 | cask | 1 | 13983 | 14 | 1.470 | 9512.2 |
898 | 2025-03-27 18:48:32 | cask | 1 | 13983 | 14 | 0.283 | 49409.9 |
897 | 2025-03-14 22:29:49 | cask | 1 | 13983 | 14 | 0.983 | 14224.8 |
896 | 2025-03-14 22:09:51 | cask | 1 | 13983 | 14 | 0.970 | 14415.5 |
895 | 2025-03-12 05:20:30 | cask | 1 | 13983 | 14 | 0.576 | 24276.0 |
894 | 2025-03-08 01:10:31 | cask | 2 | 29872 | 240 | 4.080 | 7321.6 |
893 | 2025-03-07 15:33:54 | cask | 2 | 29872 | 240 | 4.296 | 6953.4 |
892 | 2025-03-07 15:31:14 | cask | 1 | 13983 | 14 | 0.686 | 20383.4 |
891 | 2025-03-06 20:08:54 | cask | 1 | 13983 | 14 | 1.046 | 13368.1 |
890 | 2025-02-28 00:18:20 | cask | 1 | 13983 | 14 | 0.250 | 55932.0 |
889 | 2025-02-26 08:06:16 | cask | 2 | 29872 | 240 | 3.953 | 7556.8 |
888 | 2025-02-25 04:23:01 | cask | 2 | 29872 | 240 | 2.940 | 10160.5 |
887 | 2025-02-25 04:13:20 | cask | 1 | 13983 | 14 | 0.266 | 52567.7 |
886 | 2025-02-24 23:40:15 | cask | 1 | 13983 | 14 | 1.190 | 11750.4 |
885 | 2025-02-22 05:01:34 | cask | 1 | 13983 | 14 | 1.356 | 10311.9 |
884 | 2025-02-16 21:49:33 | cask | 1 | 13983 | 14 | 0.580 | 24108.6 |
883 | 2025-02-05 01:06:17 | cask | 2 | 29872 | 240 | 4.220 | 7078.7 |
882 | 2025-02-05 01:05:02 | cask | 1 | 13983 | 14 | 1.393 | 10038.0 |
881 | 2025-01-28 09:26:28 | cask | 1 | 13983 | 14 | 0.233 | 60012.9 |
880 | 2025-01-26 01:10:44 | cask | 2 | 29872 | 240 | 6.423 | 4650.8 |
879 | 2025-01-26 00:27:12 | cask | 1 | 13983 | 14 | 0.263 | 53167.3 |
878 | 2025-01-06 01:04:18 | cask | 2 | 29872 | 240 | 0.936 | 31914.5 |
877 | 2025-01-06 01:04:17 | cask | 1 | 13983 | 14 | 0.266 | 52567.7 |
876 | 2024-12-29 07:04:08 | cask | 1 | 13983 | 14 | 1.390 | 10059.7 |
875 | 2024-12-27 00:12:05 | cask | 2 | 29872 | 240 | 1.953 | 15295.4 |
874 | 2024-12-26 23:55:28 | cask | 1 | 13983 | 14 | 0.376 | 37188.8 |
873 | 2024-12-06 23:04:42 | cask | 1 | 13983 | 14 | 0.673 | 20777.1 |
872 | 2024-11-30 09:34:54 | cask | 2 | 29872 | 240 | 3.186 | 9376.0 |
871 | 2024-11-30 02:16:45 | cask | 2 | 29872 | 240 | 3.700 | 8073.5 |
870 | 2024-11-28 16:15:31 | cask | 1 | 13983 | 14 | 0.216 | 64736.1 |
869 | 2024-11-26 22:12:19 | cask | 2 | 29872 | 240 | 7.030 | 4249.2 |
868 | 2024-11-26 21:18:10 | cask | 1 | 13983 | 14 | 0.236 | 59250.0 |
867 | 2024-11-26 05:46:27 | cask | 1 | 13983 | 14 | 1.390 | 10059.7 |
866 | 2024-11-07 22:18:57 | cask | 1 | 13983 | 14 | 1.313 | 10649.7 |
865 | 2024-11-06 22:38:18 | cask | 2 | 29872 | 240 | 4.360 | 6851.4 |
864 | 2024-11-06 21:26:29 | cask | 1 | 13983 | 14 | 0.216 | 64736.1 |
863 | 2024-10-29 12:21:36 | cask | 1 | 13983 | 14 | 0.280 | 49939.3 |
862 | 2024-10-28 00:26:57 | cask | 2 | 29872 | 240 | 4.790 | 6236.3 |