History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"tower"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
924 | 2024-04-26 22:59:49 | tower | 1 | 28756 | 20 | 1.733 | 16593.2 |
923 | 2024-04-03 02:19:21 | tower | 1 | 28756 | 20 | 1.140 | 25224.6 |
922 | 2024-03-31 03:27:55 | tower | 1 | 28756 | 20 | 0.576 | 49923.6 |
921 | 2024-03-28 20:30:30 | tower | 1 | 28756 | 20 | 0.533 | 53951.2 |
920 | 2024-03-05 19:42:31 | tower | 1 | 28756 | 20 | 0.546 | 52666.7 |
919 | 2024-03-03 23:05:17 | tower | 2 | 53800 | 245 | 1.876 | 28678.0 |
918 | 2024-03-03 22:32:52 | tower | 1 | 28756 | 20 | 0.513 | 56054.6 |
917 | 2024-03-01 01:14:52 | tower | 1 | 28756 | 20 | 0.453 | 63479.0 |
916 | 2024-02-29 10:24:38 | tower | 1 | 28756 | 20 | 0.546 | 52666.7 |
915 | 2024-02-28 04:57:23 | tower | 2 | 53800 | 245 | 4.280 | 12570.1 |
914 | 2024-02-27 22:49:56 | tower | 2 | 53800 | 245 | 3.530 | 15240.8 |
913 | 2024-02-27 22:21:11 | tower | 2 | 53800 | 245 | 1.640 | 32804.9 |
912 | 2024-02-27 20:59:43 | tower | 1 | 28756 | 20 | 0.500 | 57512.0 |
911 | 2024-02-23 21:38:52 | tower | 1 | 28756 | 20 | 0.530 | 54256.6 |
910 | 2024-01-28 17:59:21 | tower | 1 | 28756 | 20 | 0.436 | 65954.1 |
909 | 2024-01-28 17:56:04 | tower | 1 | 28756 | 20 | 0.516 | 55728.7 |
908 | 2024-01-27 19:38:48 | tower | 1 | 28756 | 20 | 0.546 | 52666.7 |
907 | 2024-01-22 01:16:31 | tower | 2 | 53800 | 245 | 1.660 | 32409.6 |
906 | 2023-12-04 15:51:22 | tower | 1 | 28756 | 20 | 0.440 | 65354.5 |
905 | 2023-12-04 12:20:06 | tower | 2 | 53800 | 245 | 1.466 | 36698.5 |
904 | 2023-11-18 16:10:07 | tower | 1 | 28756 | 20 | 0.436 | 65954.1 |
903 | 2023-11-10 15:46:29 | tower | 1 | 28756 | 20 | 0.483 | 59536.2 |
902 | 2023-11-07 14:22:26 | tower | 1 | 28756 | 20 | 0.483 | 59536.2 |
901 | 2023-11-04 23:22:32 | tower | 1 | 28756 | 20 | 0.483 | 59536.2 |
900 | 2023-11-02 21:43:38 | tower | 2 | 53800 | 245 | 1.686 | 31909.8 |
899 | 2023-10-22 19:15:49 | tower | 1 | 28756 | 20 | 0.500 | 57512.0 |
898 | 2023-10-19 22:35:58 | tower | 1 | 28756 | 20 | 0.500 | 57512.0 |
897 | 2023-10-14 02:07:46 | tower | 1 | 28756 | 20 | 0.513 | 56054.6 |
896 | 2023-10-07 20:25:41 | tower | 1 | 28756 | 20 | 0.516 | 55728.7 |
895 | 2023-09-25 06:32:06 | tower | 1 | 28756 | 20 | 0.436 | 65954.1 |
894 | 2023-09-18 17:20:20 | tower | 1 | 28756 | 20 | 0.516 | 55728.7 |
893 | 2023-08-10 21:25:15 | tower | 2 | 53800 | 245 | 1.403 | 38346.4 |
892 | 2023-07-12 11:00:17 | tower | 1 | 28756 | 20 | 0.500 | 57512.0 |
891 | 2023-07-10 08:27:58 | tower | 1 | 28756 | 20 | 0.483 | 59536.2 |
890 | 2023-04-24 18:45:39 | tower | 2 | 53800 | 245 | 1.373 | 39184.3 |
889 | 2023-04-12 16:55:25 | tower | 1 | 28756 | 20 | 0.456 | 63061.4 |
888 | 2023-03-21 11:13:22 | tower | 1 | 28756 | 20 | 0.516 | 55728.7 |
887 | 2023-02-02 05:05:25 | tower | 1 | 28756 | 20 | 0.483 | 59536.2 |
886 | 2023-01-29 07:04:05 | tower | 2 | 53800 | 245 | 1.360 | 39558.8 |
885 | 2022-11-30 16:50:16 | tower | 1 | 28756 | 20 | 0.440 | 65354.5 |
884 | 2022-11-25 00:54:06 | tower | 1 | 28756 | 20 | 0.453 | 63479.0 |
883 | 2022-11-23 12:55:51 | tower | 1 | 28756 | 20 | 0.500 | 57512.0 |
882 | 2022-11-23 11:59:12 | tower | 1 | 28756 | 20 | 0.530 | 54256.6 |
881 | 2022-11-21 22:18:22 | tower | 1 | 28756 | 20 | 0.500 | 57512.0 |
880 | 2022-11-20 12:27:28 | tower | 1 | 28756 | 20 | 0.486 | 59168.7 |
879 | 2022-11-19 23:37:09 | tower | 1 | 28756 | 20 | 0.436 | 65954.1 |
878 | 2022-11-19 03:18:48 | tower | 1 | 28756 | 20 | 0.436 | 65954.1 |
877 | 2022-11-17 22:56:27 | tower | 1 | 28756 | 20 | 0.530 | 54256.6 |
876 | 2022-11-15 16:01:23 | tower | 1 | 28756 | 20 | 0.533 | 53951.2 |
875 | 2022-11-11 02:32:58 | tower | 2 | 53800 | 245 | 1.376 | 39098.8 |
874 | 2022-09-10 19:47:23 | tower | 1 | 28756 | 20 | 0.453 | 63479.0 |
873 | 2022-09-01 02:12:00 | tower | 1 | 28756 | 20 | 0.516 | 55728.7 |
872 | 2022-08-16 03:27:51 | tower | 1 | 28756 | 20 | 0.500 | 57512.0 |
871 | 2022-07-29 00:30:33 | tower | 1 | 28756 | 20 | 0.530 | 54256.6 |
870 | 2022-07-27 06:19:47 | tower | 1 | 28756 | 20 | 0.470 | 61183.0 |
869 | 2022-07-25 23:11:59 | tower | 1 | 28756 | 20 | 0.453 | 63479.0 |
868 | 2022-07-23 14:44:57 | tower | 1 | 28756 | 20 | 0.436 | 65954.1 |
867 | 2022-07-18 16:37:46 | tower | 1 | 28756 | 20 | 0.453 | 63479.0 |
866 | 2022-07-07 19:49:01 | tower | 2 | 53800 | 245 | 1.406 | 38264.6 |
865 | 2022-07-02 10:23:33 | tower | 1 | 28756 | 20 | 0.500 | 57512.0 |
864 | 2022-06-26 11:18:34 | tower | 2 | 53800 | 245 | 1.423 | 37807.4 |
863 | 2022-06-17 01:16:06 | tower | 1 | 28756 | 20 | 0.453 | 63479.0 |
862 | 2022-06-15 20:59:54 | tower | 1 | 28756 | 20 | 0.470 | 61183.0 |
861 | 2022-06-12 17:18:31 | tower | 2 | 53800 | 245 | 1.516 | 35488.1 |
860 | 2022-06-08 17:35:32 | tower | 1 | 28756 | 20 | 0.436 | 65954.1 |
859 | 2022-06-01 20:17:10 | tower | 1 | 28756 | 20 | 0.440 | 65354.5 |
858 | 2022-06-01 13:52:21 | tower | 1 | 28756 | 20 | 0.436 | 65954.1 |
857 | 2022-05-25 17:29:10 | tower | 1 | 28756 | 20 | 0.483 | 59536.2 |
856 | 2022-05-06 16:24:54 | tower | 1 | 28756 | 20 | 0.483 | 59536.2 |
855 | 2022-04-10 17:46:08 | tower | 1 | 28756 | 20 | 0.436 | 65954.1 |
854 | 2022-03-22 09:13:15 | tower | 1 | 28756 | 20 | 0.593 | 48492.4 |
853 | 2022-03-20 18:33:40 | tower | 1 | 28756 | 20 | 0.436 | 65954.1 |
852 | 2022-02-24 15:47:29 | tower | 1 | 28756 | 20 | 0.546 | 52666.7 |
851 | 2022-02-24 02:43:04 | tower | 1 | 28756 | 20 | 0.680 | 42288.2 |
850 | 2022-02-23 14:23:53 | tower | 1 | 28756 | 20 | 0.546 | 52666.7 |
849 | 2022-02-22 19:44:08 | tower | 1 | 28756 | 20 | 0.516 | 55728.7 |
848 | 2022-02-22 01:09:52 | tower | 1 | 28756 | 20 | 0.580 | 49579.3 |
847 | 2022-02-21 03:09:56 | tower | 1 | 28756 | 20 | 0.436 | 65954.1 |
846 | 2022-02-20 16:36:15 | tower | 1 | 28756 | 20 | 0.516 | 55728.7 |
845 | 2022-02-20 05:46:02 | tower | 1 | 28756 | 20 | 0.453 | 63479.0 |
844 | 2022-02-19 17:45:01 | tower | 1 | 28756 | 20 | 0.576 | 49923.6 |
843 | 2022-02-19 06:00:23 | tower | 1 | 28756 | 20 | 0.450 | 63902.2 |
842 | 2022-02-18 23:19:03 | tower | 1 | 28756 | 20 | 0.500 | 57512.0 |
841 | 2022-02-18 13:45:05 | tower | 1 | 28756 | 20 | 0.453 | 63479.0 |
840 | 2022-02-18 01:38:45 | tower | 1 | 28756 | 20 | 0.500 | 57512.0 |
839 | 2022-02-17 14:02:27 | tower | 1 | 28756 | 20 | 0.530 | 54256.6 |
838 | 2022-02-16 20:49:25 | tower | 1 | 28756 | 20 | 0.436 | 65954.1 |
837 | 2022-02-16 05:02:58 | tower | 1 | 28756 | 20 | 0.453 | 63479.0 |
836 | 2022-02-15 11:32:17 | tower | 1 | 28756 | 20 | 0.466 | 61708.2 |
835 | 2022-02-14 18:53:31 | tower | 1 | 28756 | 20 | 0.466 | 61708.2 |
834 | 2022-02-13 22:37:47 | tower | 1 | 28756 | 20 | 0.470 | 61183.0 |
833 | 2022-02-13 13:15:10 | tower | 1 | 28756 | 20 | 0.533 | 53951.2 |
832 | 2022-02-07 12:18:45 | tower | 1 | 28756 | 20 | 0.500 | 57512.0 |
831 | 2022-02-06 16:45:14 | tower | 1 | 28756 | 20 | 0.516 | 55728.7 |
830 | 2022-02-05 10:04:09 | tower | 1 | 28756 | 20 | 0.483 | 59536.2 |
829 | 2022-02-04 16:57:36 | tower | 1 | 28756 | 20 | 0.453 | 63479.0 |
828 | 2022-02-04 03:40:07 | tower | 1 | 28756 | 20 | 0.500 | 57512.0 |
827 | 2022-02-03 15:34:41 | tower | 1 | 28756 | 20 | 0.516 | 55728.7 |
826 | 2022-02-03 03:19:18 | tower | 1 | 28756 | 20 | 0.440 | 65354.5 |
825 | 2022-02-02 10:32:25 | tower | 1 | 28756 | 20 | 0.530 | 54256.6 |