History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"squares"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
907 | 2025-08-09 08:29:37 | squares | 1 | 69583 | 8 | 9.390 | 7410.3 |
906 | 2025-08-04 20:01:25 | squares | 1 | 69583 | 8 | 3.093 | 22496.9 |
905 | 2025-08-01 14:12:54 | squares | 1 | 69583 | 8 | 7.220 | 9637.5 |
904 | 2025-08-01 11:43:31 | squares | 1 | 69583 | 8 | 2.703 | 25742.9 |
903 | 2025-07-28 09:05:49 | squares | 3 | 134027 | 489 | 14.186 | 9447.8 |
902 | 2025-07-26 21:49:46 | squares | 3 | 134027 | 489 | 29.393 | 4559.8 |
901 | 2025-07-25 22:18:38 | squares | 2 | 107671 | 39 | 3.343 | 32207.9 |
900 | 2025-07-24 15:03:14 | squares | 1 | 69583 | 8 | 2.516 | 27656.2 |
899 | 2025-07-23 14:17:52 | squares | 1 | 69583 | 8 | 5.796 | 12005.3 |
898 | 2025-07-22 23:04:43 | squares | 1 | 69583 | 8 | 4.860 | 14317.5 |
897 | 2025-07-22 20:27:39 | squares | 1 | 69583 | 8 | 5.953 | 11688.7 |
896 | 2025-07-22 18:41:53 | squares | 2 | 107671 | 39 | 11.826 | 9104.6 |
895 | 2025-07-22 03:41:19 | squares | 2 | 107671 | 39 | 3.766 | 28590.3 |
894 | 2025-07-22 01:03:00 | squares | 1 | 69583 | 8 | 8.533 | 8154.6 |
893 | 2025-07-21 19:41:49 | squares | 1 | 69583 | 8 | 1.313 | 52995.4 |
892 | 2025-07-16 12:24:00 | squares | 2 | 107671 | 39 | 3.360 | 32044.9 |
891 | 2025-07-15 11:54:57 | squares | 1 | 69583 | 8 | 2.893 | 24052.2 |
890 | 2025-07-04 04:56:06 | squares | 3 | 134027 | 489 | 23.063 | 5811.3 |
889 | 2025-07-03 22:42:32 | squares | 3 | 134027 | 489 | 29.096 | 4606.4 |
888 | 2025-07-03 21:29:08 | squares | 3 | 134027 | 489 | 18.923 | 7082.8 |
887 | 2025-07-03 02:44:33 | squares | 3 | 134027 | 489 | 21.580 | 6210.7 |
886 | 2025-07-02 07:28:53 | squares | 1 | 69583 | 8 | 3.140 | 22160.2 |
885 | 2025-07-01 23:22:58 | squares | 1 | 69583 | 8 | 7.436 | 9357.6 |
884 | 2025-07-01 19:35:59 | squares | 1 | 69583 | 8 | 3.076 | 22621.3 |
883 | 2025-06-28 06:23:44 | squares | 1 | 69583 | 8 | 2.923 | 23805.3 |
882 | 2025-06-21 09:20:01 | squares | 1 | 69583 | 8 | 1.203 | 57841.2 |
881 | 2025-06-19 09:10:20 | squares | 1 | 69583 | 8 | 1.266 | 54962.9 |
880 | 2025-06-16 19:52:01 | squares | 1 | 69583 | 8 | 8.580 | 8109.9 |
879 | 2025-06-15 23:07:54 | squares | 1 | 69583 | 8 | 5.436 | 12800.4 |
878 | 2025-06-14 12:00:17 | squares | 1 | 69583 | 8 | 2.796 | 24886.6 |
877 | 2025-06-11 13:48:12 | squares | 1 | 69583 | 8 | 3.610 | 19275.1 |
876 | 2025-06-07 07:51:48 | squares | 1 | 69583 | 8 | 6.000 | 11597.2 |
875 | 2025-06-05 05:23:45 | squares | 3 | 134027 | 489 | 33.296 | 4025.3 |
874 | 2025-06-04 04:21:12 | squares | 3 | 134027 | 489 | 27.173 | 4932.4 |
873 | 2025-06-03 21:19:38 | squares | 3 | 134027 | 489 | 39.453 | 3397.1 |
872 | 2025-06-03 20:45:50 | squares | 2 | 107671 | 39 | 15.986 | 6735.3 |
871 | 2025-06-03 17:28:03 | squares | 3 | 134027 | 489 | 7.280 | 18410.3 |
870 | 2025-06-03 02:00:59 | squares | 3 | 134027 | 489 | 31.313 | 4280.2 |
869 | 2025-06-02 22:29:16 | squares | 3 | 134027 | 489 | 42.876 | 3125.9 |
868 | 2025-06-02 17:29:58 | squares | 3 | 134027 | 489 | 18.126 | 7394.2 |
867 | 2025-06-01 17:27:58 | squares | 3 | 134027 | 489 | 6.686 | 20045.9 |
866 | 2025-06-01 15:25:49 | squares | 2 | 107671 | 39 | 7.860 | 13698.6 |
865 | 2025-06-01 09:19:51 | squares | 1 | 69583 | 8 | 3.406 | 20429.5 |
864 | 2025-05-30 19:37:06 | squares | 1 | 69583 | 8 | 1.266 | 54962.9 |
863 | 2025-05-25 20:23:49 | squares | 3 | 134027 | 489 | 34.783 | 3853.2 |
862 | 2025-05-23 12:11:20 | squares | 3 | 134027 | 489 | 6.906 | 19407.3 |
861 | 2025-05-22 17:50:04 | squares | 3 | 134027 | 489 | 43.813 | 3059.1 |
860 | 2025-05-21 19:25:45 | squares | 3 | 134027 | 489 | 6.173 | 21711.8 |
859 | 2025-05-20 01:31:42 | squares | 1 | 69583 | 8 | 5.283 | 13171.1 |
858 | 2025-05-19 08:23:41 | squares | 3 | 134027 | 489 | 32.953 | 4067.2 |
857 | 2025-05-18 10:53:28 | squares | 2 | 107671 | 39 | 16.970 | 6344.8 |
856 | 2025-05-18 09:55:13 | squares | 1 | 69583 | 8 | 2.766 | 25156.5 |
855 | 2025-05-17 06:00:13 | squares | 3 | 134027 | 489 | 24.203 | 5537.6 |
854 | 2025-05-17 04:34:43 | squares | 3 | 134027 | 489 | 35.933 | 3729.9 |
853 | 2025-05-16 03:51:44 | squares | 2 | 107671 | 39 | 25.206 | 4271.6 |
852 | 2025-05-14 11:35:44 | squares | 1 | 69583 | 8 | 8.690 | 8007.2 |
851 | 2025-05-13 11:08:39 | squares | 1 | 69583 | 8 | 1.280 | 54361.7 |
850 | 2025-05-12 23:33:08 | squares | 1 | 69583 | 8 | 1.233 | 56433.9 |
849 | 2025-05-12 04:20:43 | squares | 2 | 107671 | 39 | 12.220 | 8811.0 |
848 | 2025-05-11 20:50:36 | squares | 3 | 134027 | 489 | 23.176 | 5783.0 |
847 | 2025-05-08 09:00:48 | squares | 1 | 69583 | 8 | 4.063 | 17126.0 |
846 | 2025-05-06 03:20:37 | squares | 1 | 69583 | 8 | 4.220 | 16488.9 |
845 | 2025-05-02 07:28:37 | squares | 3 | 134027 | 489 | 31.550 | 4248.1 |
844 | 2025-05-02 03:55:43 | squares | 3 | 134027 | 489 | 29.470 | 4547.9 |
843 | 2025-05-02 02:22:05 | squares | 3 | 134027 | 489 | 33.203 | 4036.6 |
842 | 2025-05-01 22:53:23 | squares | 3 | 134027 | 489 | 44.693 | 2998.8 |
841 | 2025-05-01 21:31:25 | squares | 3 | 134027 | 489 | 33.643 | 3983.8 |
840 | 2025-05-01 01:43:29 | squares | 3 | 134027 | 489 | 36.046 | 3718.2 |
839 | 2025-04-29 20:43:46 | squares | 3 | 134027 | 489 | 23.093 | 5803.8 |
838 | 2025-04-29 19:30:52 | squares | 1 | 69583 | 8 | 5.116 | 13601.1 |
837 | 2025-04-17 20:14:22 | squares | 2 | 107671 | 39 | 15.986 | 6735.3 |
836 | 2025-04-17 09:05:27 | squares | 1 | 69583 | 8 | 5.640 | 12337.4 |
835 | 2025-04-11 12:24:05 | squares | 1 | 69583 | 8 | 6.096 | 11414.5 |
834 | 2025-04-09 20:09:04 | squares | 3 | 134027 | 489 | 5.610 | 23890.7 |
833 | 2025-04-07 08:27:38 | squares | 1 | 69583 | 8 | 5.030 | 13833.6 |
832 | 2025-03-31 18:54:01 | squares | 3 | 134027 | 489 | 17.986 | 7451.7 |
831 | 2025-03-31 03:39:48 | squares | 3 | 134027 | 489 | 47.923 | 2796.7 |
830 | 2025-03-29 00:11:19 | squares | 3 | 134027 | 489 | 24.066 | 5569.1 |
829 | 2025-03-28 20:45:27 | squares | 1 | 69583 | 8 | 6.033 | 11533.7 |
828 | 2025-03-25 00:08:34 | squares | 3 | 134027 | 489 | 38.160 | 3512.2 |
827 | 2025-03-23 04:14:03 | squares | 2 | 107671 | 39 | 12.236 | 8799.5 |
826 | 2025-03-22 22:41:54 | squares | 3 | 134027 | 489 | 26.660 | 5027.3 |
825 | 2025-03-22 04:02:39 | squares | 3 | 134027 | 489 | 6.376 | 21020.5 |
824 | 2025-03-20 08:46:06 | squares | 3 | 134027 | 489 | 32.143 | 4169.7 |
823 | 2025-03-19 20:44:27 | squares | 3 | 134027 | 489 | 32.113 | 4173.6 |
822 | 2025-03-19 07:01:09 | squares | 2 | 107671 | 39 | 3.283 | 32796.5 |
821 | 2025-03-18 11:50:09 | squares | 2 | 107671 | 39 | 14.406 | 7474.0 |
820 | 2025-03-17 14:24:07 | squares | 1 | 69583 | 8 | 6.813 | 10213.3 |
819 | 2025-03-17 14:22:56 | squares | 2 | 107671 | 39 | 14.893 | 7229.6 |
818 | 2025-03-17 12:22:25 | squares | 3 | 134027 | 489 | 26.686 | 5022.4 |
817 | 2025-03-16 22:38:48 | squares | 2 | 107671 | 39 | 16.906 | 6368.8 |
816 | 2025-03-16 22:38:18 | squares | 1 | 69583 | 8 | 7.046 | 9875.5 |
815 | 2025-03-13 22:31:06 | squares | 3 | 134027 | 489 | 36.270 | 3695.3 |
814 | 2025-03-10 14:56:21 | squares | 1 | 69583 | 8 | 1.313 | 52995.4 |
813 | 2025-03-09 14:50:30 | squares | 1 | 69583 | 8 | 3.266 | 21305.3 |
812 | 2025-03-08 03:17:08 | squares | 1 | 69583 | 8 | 4.936 | 14097.0 |
811 | 2025-02-28 10:08:42 | squares | 1 | 69583 | 8 | 3.143 | 22139.0 |
810 | 2025-02-21 07:16:49 | squares | 3 | 134027 | 489 | 29.830 | 4493.0 |
809 | 2025-02-19 04:11:37 | squares | 3 | 134027 | 489 | 30.000 | 4467.6 |
808 | 2025-02-18 19:44:22 | squares | 3 | 134027 | 489 | 37.486 | 3575.4 |