History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"medals"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
957 | 2025-08-27 02:02:02 | medals | 1 | 48755 | 7 | 0.796 | 61250.0 |
956 | 2025-08-25 08:24:30 | medals | 1 | 48755 | 7 | 3.563 | 13683.7 |
955 | 2025-08-20 14:47:10 | medals | 1 | 48755 | 7 | 0.766 | 63648.8 |
954 | 2025-08-03 22:45:06 | medals | 1 | 48755 | 7 | 2.156 | 22613.6 |
953 | 2025-08-03 15:19:31 | medals | 2 | 82551 | 74 | 10.063 | 8203.4 |
952 | 2025-08-01 22:25:32 | medals | 2 | 82551 | 74 | 8.190 | 10079.5 |
951 | 2025-08-01 12:31:07 | medals | 1 | 48755 | 7 | 5.393 | 9040.4 |
950 | 2025-08-01 07:44:11 | medals | 1 | 48755 | 7 | 4.250 | 11471.8 |
949 | 2025-07-31 14:49:48 | medals | 1 | 48755 | 7 | 2.170 | 22467.7 |
948 | 2025-07-31 09:53:44 | medals | 1 | 48755 | 7 | 1.580 | 30857.6 |
947 | 2025-07-28 17:38:22 | medals | 3 | 112716 | 854 | 36.063 | 3125.5 |
946 | 2025-07-27 22:14:13 | medals | 1 | 48755 | 7 | 3.813 | 12786.5 |
945 | 2025-07-27 19:52:47 | medals | 3 | 112716 | 854 | 24.656 | 4571.5 |
944 | 2025-07-27 19:52:46 | medals | 3 | 112716 | 854 | 14.000 | 8051.1 |
943 | 2025-07-25 17:12:57 | medals | 3 | 112716 | 854 | 14.533 | 7755.9 |
942 | 2025-07-25 06:39:20 | medals | 1 | 48755 | 7 | 2.783 | 17518.9 |
941 | 2025-07-25 05:58:11 | medals | 1 | 48755 | 7 | 4.000 | 12188.8 |
940 | 2025-07-24 08:12:29 | medals | 1 | 48755 | 7 | 4.080 | 11949.8 |
939 | 2025-07-23 17:59:55 | medals | 1 | 48755 | 7 | 1.813 | 26891.9 |
938 | 2025-07-23 12:20:26 | medals | 1 | 48755 | 7 | 2.876 | 16952.4 |
937 | 2025-07-23 06:27:34 | medals | 2 | 82551 | 74 | 13.580 | 6078.9 |
936 | 2025-07-22 22:12:16 | medals | 1 | 48755 | 7 | 1.983 | 24586.5 |
935 | 2025-07-22 18:23:11 | medals | 1 | 48755 | 7 | 1.733 | 28133.3 |
934 | 2025-07-22 15:48:31 | medals | 1 | 48755 | 7 | 4.656 | 10471.4 |
933 | 2025-07-22 09:17:55 | medals | 1 | 48755 | 7 | 0.920 | 52994.6 |
932 | 2025-07-22 04:05:59 | medals | 1 | 48755 | 7 | 2.250 | 21668.9 |
931 | 2025-07-21 12:31:08 | medals | 1 | 48755 | 7 | 2.186 | 22303.3 |
930 | 2025-07-18 01:06:18 | medals | 3 | 112716 | 854 | 13.953 | 8078.3 |
929 | 2025-07-14 10:59:04 | medals | 3 | 112716 | 854 | 24.566 | 4588.3 |
928 | 2025-07-14 10:53:27 | medals | 2 | 82551 | 74 | 12.670 | 6515.5 |
927 | 2025-07-13 17:01:24 | medals | 1 | 48755 | 7 | 0.876 | 55656.4 |
926 | 2025-07-12 16:01:56 | medals | 3 | 112716 | 854 | 8.796 | 12814.5 |
925 | 2025-07-12 03:06:27 | medals | 1 | 48755 | 7 | 0.906 | 53813.5 |
924 | 2025-07-11 15:47:11 | medals | 2 | 82551 | 74 | 5.903 | 13984.6 |
923 | 2025-07-10 06:54:53 | medals | 2 | 82551 | 74 | 10.070 | 8197.7 |
922 | 2025-07-07 20:16:03 | medals | 3 | 112716 | 854 | 19.470 | 5789.2 |
921 | 2025-07-07 02:07:10 | medals | 2 | 82551 | 74 | 14.220 | 5805.3 |
920 | 2025-07-06 06:09:07 | medals | 3 | 112716 | 854 | 5.860 | 19234.8 |
919 | 2025-07-04 22:25:18 | medals | 1 | 48755 | 7 | 3.296 | 14792.2 |
918 | 2025-07-04 19:57:34 | medals | 3 | 112716 | 854 | 15.860 | 7106.9 |
917 | 2025-07-01 02:00:54 | medals | 1 | 48755 | 7 | 0.843 | 57835.1 |
916 | 2025-06-30 13:03:52 | medals | 1 | 48755 | 7 | 4.126 | 11816.5 |
915 | 2025-06-30 12:03:29 | medals | 1 | 48755 | 7 | 4.623 | 10546.2 |
914 | 2025-06-27 19:05:40 | medals | 1 | 48755 | 7 | 0.753 | 64747.7 |
913 | 2025-06-25 22:07:01 | medals | 1 | 48755 | 7 | 2.153 | 22645.1 |
912 | 2025-06-25 20:09:56 | medals | 1 | 48755 | 7 | 2.750 | 17729.1 |
911 | 2025-06-25 02:12:00 | medals | 1 | 48755 | 7 | 4.030 | 12098.0 |
910 | 2025-06-21 05:05:42 | medals | 1 | 48755 | 7 | 4.093 | 11911.8 |
909 | 2025-06-20 04:18:06 | medals | 1 | 48755 | 7 | 2.156 | 22613.6 |
908 | 2025-06-17 19:19:04 | medals | 3 | 112716 | 854 | 5.656 | 19928.6 |
907 | 2025-06-16 21:46:18 | medals | 3 | 112716 | 854 | 31.110 | 3623.1 |
906 | 2025-06-16 10:15:28 | medals | 2 | 82551 | 74 | 13.686 | 6031.8 |
905 | 2025-06-16 00:04:33 | medals | 3 | 112716 | 854 | 41.466 | 2718.3 |
904 | 2025-06-11 00:48:31 | medals | 1 | 48755 | 7 | 0.873 | 55847.7 |
903 | 2025-06-09 22:16:31 | medals | 1 | 48755 | 7 | 4.233 | 11517.8 |
902 | 2025-06-08 06:25:01 | medals | 2 | 82551 | 74 | 18.970 | 4351.7 |
901 | 2025-06-07 16:56:14 | medals | 2 | 82551 | 74 | 2.470 | 33421.5 |
900 | 2025-06-05 04:00:48 | medals | 3 | 112716 | 854 | 29.220 | 3857.5 |
899 | 2025-06-04 23:17:59 | medals | 2 | 82551 | 74 | 6.610 | 12488.8 |
898 | 2025-06-04 23:07:13 | medals | 3 | 112716 | 854 | 31.046 | 3630.6 |
897 | 2025-06-04 08:07:08 | medals | 1 | 48755 | 7 | 6.000 | 8125.8 |
896 | 2025-06-03 05:59:45 | medals | 3 | 112716 | 854 | 37.346 | 3018.2 |
895 | 2025-06-02 21:48:02 | medals | 1 | 48755 | 7 | 0.813 | 59969.2 |
894 | 2025-05-28 02:21:20 | medals | 1 | 48755 | 7 | 0.923 | 52822.3 |
893 | 2025-05-24 11:49:34 | medals | 3 | 112716 | 854 | 20.533 | 5489.5 |
892 | 2025-05-24 05:11:57 | medals | 3 | 112716 | 854 | 21.453 | 5254.1 |
891 | 2025-05-22 15:15:47 | medals | 2 | 82551 | 74 | 9.046 | 9125.7 |
890 | 2025-05-22 02:06:52 | medals | 3 | 112716 | 854 | 19.863 | 5674.7 |
889 | 2025-05-21 05:03:36 | medals | 1 | 48755 | 7 | 2.016 | 24184.0 |
888 | 2025-05-20 10:45:14 | medals | 1 | 48755 | 7 | 4.470 | 10907.2 |
887 | 2025-05-20 02:11:48 | medals | 2 | 82551 | 74 | 10.516 | 7850.0 |
886 | 2025-05-18 20:55:57 | medals | 2 | 82551 | 74 | 2.643 | 31233.8 |
885 | 2025-05-13 13:39:37 | medals | 1 | 48755 | 7 | 4.233 | 11517.8 |
884 | 2025-05-04 08:14:03 | medals | 1 | 48755 | 7 | 4.560 | 10691.9 |
883 | 2025-05-03 04:13:21 | medals | 1 | 48755 | 7 | 4.733 | 10301.1 |
882 | 2025-05-02 21:54:40 | medals | 1 | 48755 | 7 | 2.170 | 22467.7 |
881 | 2025-04-30 11:05:32 | medals | 1 | 48755 | 7 | 4.593 | 10615.1 |
880 | 2025-04-30 05:30:45 | medals | 1 | 48755 | 7 | 5.033 | 9687.1 |
879 | 2025-04-22 10:50:56 | medals | 2 | 82551 | 74 | 3.550 | 23253.8 |
878 | 2025-04-20 02:25:45 | medals | 1 | 48755 | 7 | 3.876 | 12578.7 |
877 | 2025-04-14 08:13:08 | medals | 1 | 48755 | 7 | 4.093 | 11911.8 |
876 | 2025-04-08 07:22:59 | medals | 1 | 48755 | 7 | 0.860 | 56691.9 |
875 | 2025-04-01 21:59:54 | medals | 1 | 48755 | 7 | 3.796 | 12843.8 |
874 | 2025-03-31 19:13:08 | medals | 2 | 82551 | 74 | 11.390 | 7247.7 |
873 | 2025-03-31 10:08:07 | medals | 1 | 48755 | 7 | 2.343 | 20808.8 |
872 | 2025-03-31 05:01:07 | medals | 3 | 112716 | 854 | 32.110 | 3510.3 |
871 | 2025-03-31 03:50:34 | medals | 2 | 82551 | 74 | 7.500 | 11006.8 |
870 | 2025-03-31 01:33:16 | medals | 3 | 112716 | 854 | 41.676 | 2704.6 |
869 | 2025-03-30 12:37:55 | medals | 1 | 48755 | 7 | 1.576 | 30935.9 |
868 | 2025-03-30 04:31:52 | medals | 3 | 112716 | 854 | 5.750 | 19602.8 |
867 | 2025-03-29 06:46:46 | medals | 1 | 48755 | 7 | 6.016 | 8104.2 |
866 | 2025-03-26 17:28:03 | medals | 3 | 112716 | 854 | 26.550 | 4245.4 |
865 | 2025-03-24 07:34:38 | medals | 3 | 112716 | 854 | 26.656 | 4228.5 |
864 | 2025-03-21 17:43:55 | medals | 3 | 112716 | 854 | 37.580 | 2999.4 |
863 | 2025-03-21 14:26:24 | medals | 2 | 82551 | 74 | 6.313 | 13076.4 |
862 | 2025-03-21 13:31:58 | medals | 3 | 112716 | 854 | 17.893 | 6299.4 |
861 | 2025-03-20 07:10:10 | medals | 3 | 112716 | 854 | 26.533 | 4248.1 |
860 | 2025-03-19 02:57:26 | medals | 1 | 48755 | 7 | 0.736 | 66243.2 |
859 | 2025-03-18 18:23:08 | medals | 3 | 112716 | 854 | 4.626 | 24365.8 |
858 | 2025-03-14 18:53:23 | medals | 3 | 112716 | 854 | 30.750 | 3665.6 |