History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"meats"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
933 | 2025-07-10 09:47:24 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
932 | 2025-07-07 17:03:56 | meats | 1 | 28756 | 19 | 2.390 | 12031.8 |
931 | 2025-07-07 16:43:34 | meats | 1 | 28756 | 19 | 1.030 | 27918.4 |
930 | 2025-07-02 04:14:58 | meats | 2 | 53800 | 318 | 5.860 | 9180.9 |
929 | 2025-07-02 00:02:47 | meats | 2 | 53800 | 318 | 4.000 | 13450.0 |
928 | 2025-07-01 20:30:21 | meats | 1 | 28756 | 19 | 1.376 | 20898.3 |
927 | 2025-06-30 22:10:14 | meats | 1 | 28756 | 19 | 1.186 | 24246.2 |
926 | 2025-06-30 12:43:08 | meats | 1 | 28756 | 19 | 2.876 | 9998.6 |
925 | 2025-06-30 12:05:57 | meats | 1 | 28756 | 19 | 2.280 | 12612.3 |
924 | 2025-06-28 01:18:23 | meats | 1 | 28756 | 19 | 2.296 | 12524.4 |
923 | 2025-06-18 23:25:23 | meats | 1 | 28756 | 19 | 2.310 | 12448.5 |
922 | 2025-06-17 22:15:02 | meats | 1 | 28756 | 19 | 1.640 | 17534.1 |
921 | 2025-06-10 21:50:59 | meats | 1 | 28756 | 19 | 1.173 | 24514.9 |
920 | 2025-06-07 16:08:53 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 |
919 | 2025-06-06 04:04:37 | meats | 1 | 28756 | 19 | 0.953 | 30174.2 |
918 | 2025-06-05 21:40:09 | meats | 2 | 53800 | 318 | 5.250 | 10247.6 |
917 | 2025-06-05 10:43:34 | meats | 1 | 28756 | 19 | 0.563 | 51076.4 |
916 | 2025-05-31 21:31:02 | meats | 1 | 28756 | 19 | 1.326 | 21686.3 |
915 | 2025-05-31 15:45:30 | meats | 1 | 28756 | 19 | 2.983 | 9640.0 |
914 | 2025-05-31 14:25:53 | meats | 1 | 28756 | 19 | 3.086 | 9318.2 |
913 | 2025-05-27 18:03:27 | meats | 1 | 28756 | 19 | 0.533 | 53951.2 |
912 | 2025-05-26 22:51:51 | meats | 1 | 28756 | 19 | 0.983 | 29253.3 |
911 | 2025-05-17 22:37:02 | meats | 1 | 28756 | 19 | 2.360 | 12184.7 |
910 | 2025-05-14 04:07:49 | meats | 1 | 28756 | 19 | 2.796 | 10284.7 |
909 | 2025-05-12 11:40:06 | meats | 1 | 28756 | 19 | 0.970 | 29645.4 |
908 | 2025-05-07 15:38:44 | meats | 1 | 28756 | 19 | 0.560 | 51350.0 |
907 | 2025-05-05 22:11:23 | meats | 2 | 53800 | 318 | 5.080 | 10590.6 |
906 | 2025-05-05 11:11:34 | meats | 1 | 28756 | 19 | 1.376 | 20898.3 |
905 | 2025-05-04 22:56:03 | meats | 1 | 28756 | 19 | 0.453 | 63479.0 |
904 | 2025-05-02 03:39:34 | meats | 2 | 53800 | 318 | 6.940 | 7752.2 |
903 | 2025-05-01 11:55:57 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
902 | 2025-04-30 21:33:26 | meats | 1 | 28756 | 19 | 0.530 | 54256.6 |
901 | 2025-04-28 00:36:06 | meats | 2 | 53800 | 318 | 8.970 | 5997.8 |
900 | 2025-04-27 06:00:43 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
899 | 2025-04-27 01:35:06 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
898 | 2025-04-18 09:25:54 | meats | 2 | 53800 | 318 | 8.986 | 5987.1 |
897 | 2025-04-16 21:14:02 | meats | 1 | 28756 | 19 | 0.513 | 56054.6 |
896 | 2025-04-06 15:33:40 | meats | 1 | 28756 | 19 | 2.423 | 11867.9 |
895 | 2025-04-05 21:32:42 | meats | 2 | 53800 | 318 | 6.470 | 8315.3 |
894 | 2025-04-05 09:59:57 | meats | 1 | 28756 | 19 | 2.186 | 13154.6 |
893 | 2025-04-05 08:36:58 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
892 | 2025-03-30 22:37:33 | meats | 1 | 28756 | 19 | 2.690 | 10690.0 |
891 | 2025-03-29 12:42:59 | meats | 1 | 28756 | 19 | 2.046 | 14054.7 |
890 | 2025-03-17 19:48:41 | meats | 1 | 28756 | 19 | 2.800 | 10270.0 |
889 | 2025-03-16 10:45:34 | meats | 1 | 28756 | 19 | 2.330 | 12341.6 |
888 | 2025-03-12 10:36:42 | meats | 1 | 28756 | 19 | 3.953 | 7274.5 |
887 | 2025-03-07 03:03:25 | meats | 1 | 28756 | 19 | 1.283 | 22413.1 |
886 | 2025-03-05 17:16:12 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 |
885 | 2025-02-28 01:27:00 | meats | 2 | 53800 | 318 | 7.970 | 6750.3 |
884 | 2025-02-27 23:46:51 | meats | 2 | 53800 | 318 | 6.843 | 7862.0 |
883 | 2025-02-27 22:03:54 | meats | 2 | 53800 | 318 | 3.843 | 13999.5 |
882 | 2025-02-27 21:33:42 | meats | 1 | 28756 | 19 | 0.483 | 59536.2 |
881 | 2025-02-25 16:58:11 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 |
880 | 2025-02-25 08:54:48 | meats | 1 | 28756 | 19 | 0.516 | 55728.7 |
879 | 2025-02-23 02:00:47 | meats | 2 | 53800 | 318 | 10.843 | 4961.7 |
878 | 2025-02-23 02:00:17 | meats | 1 | 28756 | 19 | 2.343 | 12273.2 |
877 | 2025-02-15 21:07:49 | meats | 1 | 28756 | 19 | 2.296 | 12524.4 |
876 | 2025-02-05 02:33:41 | meats | 1 | 28756 | 19 | 0.983 | 29253.3 |
875 | 2025-01-28 23:21:09 | meats | 2 | 53800 | 318 | 9.250 | 5816.2 |
874 | 2025-01-28 19:24:01 | meats | 2 | 53800 | 318 | 3.640 | 14780.2 |
873 | 2025-01-28 19:08:47 | meats | 1 | 28756 | 19 | 0.533 | 53951.2 |
872 | 2025-01-26 06:26:07 | meats | 1 | 28756 | 19 | 1.326 | 21686.3 |
871 | 2025-01-23 19:48:47 | meats | 1 | 28756 | 19 | 2.156 | 13337.7 |
870 | 2025-01-05 21:50:53 | meats | 1 | 28756 | 19 | 2.126 | 13525.9 |
869 | 2024-12-29 16:20:53 | meats | 2 | 53800 | 318 | 10.140 | 5305.7 |
868 | 2024-12-29 14:54:27 | meats | 2 | 53800 | 318 | 9.203 | 5845.9 |
867 | 2024-12-29 14:45:00 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 |
866 | 2024-12-27 05:34:02 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 |
865 | 2024-12-25 00:21:27 | meats | 2 | 53800 | 318 | 5.470 | 9835.5 |
864 | 2024-12-24 17:16:42 | meats | 1 | 28756 | 19 | 1.673 | 17188.3 |
863 | 2024-12-13 19:00:39 | meats | 1 | 28756 | 19 | 1.846 | 15577.5 |
862 | 2024-12-06 14:28:54 | meats | 2 | 53800 | 318 | 9.216 | 5837.7 |
861 | 2024-12-06 14:28:37 | meats | 1 | 28756 | 19 | 3.530 | 8146.2 |
860 | 2024-11-29 09:04:25 | meats | 2 | 53800 | 318 | 1.483 | 36277.8 |
859 | 2024-11-29 09:04:14 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 |
858 | 2024-11-27 04:04:35 | meats | 1 | 28756 | 19 | 2.250 | 12780.4 |
857 | 2024-11-24 16:47:02 | meats | 1 | 28756 | 19 | 2.296 | 12524.4 |
856 | 2024-11-06 13:29:47 | meats | 2 | 53800 | 318 | 5.656 | 9512.0 |
855 | 2024-11-06 13:29:34 | meats | 1 | 28756 | 19 | 2.436 | 11804.6 |
854 | 2024-10-30 04:24:54 | meats | 1 | 28756 | 19 | 0.420 | 68466.7 |
853 | 2024-10-28 03:02:24 | meats | 1 | 28756 | 19 | 2.250 | 12780.4 |
852 | 2024-10-25 17:40:46 | meats | 1 | 28756 | 19 | 1.860 | 15460.2 |
851 | 2024-10-07 11:28:01 | meats | 1 | 28756 | 19 | 1.953 | 14724.0 |
850 | 2024-10-01 14:30:17 | meats | 1 | 28756 | 19 | 0.516 | 55728.7 |
849 | 2024-09-29 23:48:25 | meats | 1 | 28756 | 19 | 0.516 | 55728.7 |
848 | 2024-09-28 15:21:06 | meats | 2 | 53800 | 318 | 12.706 | 4234.2 |
847 | 2024-09-28 02:24:57 | meats | 2 | 53800 | 318 | 10.173 | 5288.5 |
846 | 2024-09-27 23:21:12 | meats | 2 | 53800 | 318 | 24.093 | 2233.0 |
845 | 2024-09-27 23:14:43 | meats | 1 | 28756 | 19 | 1.826 | 15748.1 |
844 | 2024-09-25 16:49:20 | meats | 1 | 28756 | 19 | 5.656 | 5084.2 |
843 | 2024-09-13 17:24:04 | meats | 1 | 28756 | 19 | 4.046 | 7107.3 |
842 | 2024-09-07 10:00:24 | meats | 1 | 28756 | 19 | 4.313 | 6667.3 |
841 | 2024-09-03 19:17:00 | meats | 1 | 28756 | 19 | 5.170 | 5562.1 |
840 | 2024-08-30 20:42:35 | meats | 1 | 28756 | 19 | 3.250 | 8848.0 |
839 | 2024-08-29 17:57:12 | meats | 2 | 53800 | 318 | 19.156 | 2808.5 |
838 | 2024-08-29 17:57:02 | meats | 1 | 28756 | 19 | 1.873 | 15352.9 |
837 | 2024-08-28 23:51:10 | meats | 2 | 53800 | 318 | 17.500 | 3074.3 |
836 | 2024-08-28 20:39:14 | meats | 2 | 53800 | 318 | 16.533 | 3254.1 |
835 | 2024-08-28 20:16:37 | meats | 1 | 28756 | 19 | 4.063 | 7077.5 |
834 | 2024-08-08 09:56:40 | meats | 1 | 28756 | 19 | 2.250 | 12780.4 |