History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"snows"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
931 | 2024-04-27 15:42:02 | snows | 1 | 28756 | 15 | 0.576 | 49923.6 |
930 | 2024-04-24 14:16:42 | snows | 1 | 28756 | 15 | 1.280 | 22465.6 |
929 | 2024-04-20 19:38:29 | snows | 1 | 28756 | 15 | 0.546 | 52666.7 |
928 | 2024-04-03 09:53:15 | snows | 2 | 53800 | 162 | 3.706 | 14517.0 |
927 | 2024-04-03 09:53:08 | snows | 1 | 28756 | 15 | 1.140 | 25224.6 |
926 | 2024-03-31 02:43:03 | snows | 1 | 28756 | 15 | 1.110 | 25906.3 |
925 | 2024-03-29 06:00:19 | snows | 1 | 28756 | 15 | 1.623 | 17717.8 |
924 | 2024-03-29 06:00:10 | snows | 2 | 53800 | 162 | 2.300 | 23391.3 |
923 | 2024-03-28 18:49:03 | snows | 2 | 53800 | 162 | 4.796 | 11217.7 |
922 | 2024-03-28 18:17:03 | snows | 1 | 28756 | 15 | 0.533 | 53951.2 |
921 | 2024-03-10 21:25:46 | snows | 1 | 28756 | 15 | 0.703 | 40904.7 |
920 | 2024-03-06 05:14:01 | snows | 1 | 28756 | 15 | 1.156 | 24875.4 |
919 | 2024-03-04 06:30:41 | snows | 1 | 28756 | 15 | 0.500 | 57512.0 |
918 | 2024-03-04 01:51:02 | snows | 2 | 53800 | 162 | 4.593 | 11713.5 |
917 | 2024-02-28 20:35:14 | snows | 2 | 53800 | 162 | 1.610 | 33416.1 |
916 | 2024-02-25 22:32:19 | snows | 1 | 28756 | 15 | 0.516 | 55728.7 |
915 | 2024-02-03 00:36:35 | snows | 1 | 28756 | 15 | 0.530 | 54256.6 |
914 | 2024-01-26 20:26:57 | snows | 1 | 28756 | 15 | 0.516 | 55728.7 |
913 | 2024-01-20 19:05:25 | snows | 1 | 28756 | 15 | 0.453 | 63479.0 |
912 | 2024-01-04 08:37:20 | snows | 2 | 53800 | 162 | 1.670 | 32215.6 |
911 | 2023-12-21 16:35:45 | snows | 1 | 28756 | 15 | 0.453 | 63479.0 |
910 | 2023-12-13 05:40:42 | snows | 1 | 28756 | 15 | 0.516 | 55728.7 |
909 | 2023-11-28 11:39:23 | snows | 2 | 53800 | 162 | 1.533 | 35094.6 |
908 | 2023-11-25 19:57:13 | snows | 2 | 53800 | 162 | 1.466 | 36698.5 |
907 | 2023-11-21 10:43:42 | snows | 2 | 53800 | 162 | 1.406 | 38264.6 |
906 | 2023-11-15 14:29:15 | snows | 1 | 28756 | 15 | 0.453 | 63479.0 |
905 | 2023-11-09 18:07:49 | snows | 1 | 28756 | 15 | 0.546 | 52666.7 |
904 | 2023-10-30 21:25:15 | snows | 2 | 53800 | 162 | 1.436 | 37465.2 |
903 | 2023-10-26 14:42:29 | snows | 1 | 28756 | 15 | 1.216 | 23648.0 |
902 | 2023-10-26 14:42:28 | snows | 1 | 28756 | 15 | 1.186 | 24246.2 |
901 | 2023-10-25 23:34:02 | snows | 1 | 28756 | 15 | 0.470 | 61183.0 |
900 | 2023-10-22 02:28:26 | snows | 1 | 28756 | 15 | 0.516 | 55728.7 |
899 | 2023-10-19 20:05:39 | snows | 1 | 28756 | 15 | 0.533 | 53951.2 |
898 | 2023-10-16 12:24:15 | snows | 1 | 28756 | 15 | 0.500 | 57512.0 |
897 | 2023-10-07 23:48:30 | snows | 1 | 28756 | 15 | 0.500 | 57512.0 |
896 | 2023-09-27 18:18:20 | snows | 1 | 28756 | 15 | 0.530 | 54256.6 |
895 | 2023-09-27 04:23:17 | snows | 1 | 28756 | 15 | 0.453 | 63479.0 |
894 | 2023-09-23 00:12:16 | snows | 1 | 28756 | 15 | 0.483 | 59536.2 |
893 | 2023-08-22 07:50:35 | snows | 2 | 53800 | 162 | 1.373 | 39184.3 |
892 | 2023-08-15 16:02:51 | snows | 1 | 28756 | 15 | 0.500 | 57512.0 |
891 | 2023-07-26 03:11:37 | snows | 1 | 28756 | 15 | 0.436 | 65954.1 |
890 | 2023-05-06 10:10:13 | snows | 2 | 53800 | 162 | 1.360 | 39558.8 |
889 | 2023-04-23 14:21:12 | snows | 1 | 28756 | 15 | 0.436 | 65954.1 |
888 | 2023-04-20 01:42:36 | snows | 1 | 28756 | 15 | 0.500 | 57512.0 |
887 | 2023-02-15 21:25:11 | snows | 1 | 28756 | 15 | 0.500 | 57512.0 |
886 | 2023-02-12 08:51:54 | snows | 2 | 53800 | 162 | 1.360 | 39558.8 |
885 | 2022-12-23 18:15:08 | snows | 1 | 28756 | 15 | 0.483 | 59536.2 |
884 | 2022-12-13 18:18:16 | snows | 1 | 28756 | 15 | 0.483 | 59536.2 |
883 | 2022-11-22 21:17:13 | snows | 2 | 53800 | 162 | 1.420 | 37887.3 |
882 | 2022-09-19 07:24:13 | snows | 2 | 53800 | 162 | 1.423 | 37807.4 |
881 | 2022-08-19 19:17:04 | snows | 1 | 28756 | 15 | 0.453 | 63479.0 |
880 | 2022-08-16 15:00:27 | snows | 1 | 28756 | 15 | 0.450 | 63902.2 |
879 | 2022-08-12 18:22:16 | snows | 2 | 53800 | 162 | 1.453 | 37026.8 |
878 | 2022-07-29 09:24:49 | snows | 1 | 28756 | 15 | 0.453 | 63479.0 |
877 | 2022-07-09 04:40:42 | snows | 1 | 28756 | 15 | 0.486 | 59168.7 |
876 | 2022-06-27 00:56:26 | snows | 2 | 53800 | 162 | 1.406 | 38264.6 |
875 | 2022-04-08 16:35:04 | snows | 2 | 53800 | 162 | 1.376 | 39098.8 |
874 | 2022-04-08 02:42:49 | snows | 1 | 28756 | 15 | 0.563 | 51076.4 |
873 | 2022-04-02 03:30:51 | snows | 1 | 28756 | 15 | 0.516 | 55728.7 |
872 | 2022-03-17 18:30:09 | snows | 2 | 53800 | 162 | 1.860 | 28924.7 |
871 | 2022-02-25 02:21:41 | snows | 2 | 53800 | 162 | 1.626 | 33087.3 |
870 | 2022-02-24 08:07:47 | snows | 2 | 53800 | 162 | 1.436 | 37465.2 |
869 | 2022-02-23 19:51:37 | snows | 2 | 53800 | 162 | 1.733 | 31044.4 |
868 | 2022-02-23 02:25:43 | snows | 2 | 53800 | 162 | 1.423 | 37807.4 |
867 | 2022-02-22 22:31:37 | snows | 2 | 53800 | 162 | 1.406 | 38264.6 |
866 | 2022-02-22 13:17:41 | snows | 2 | 53800 | 162 | 2.173 | 24758.4 |
865 | 2022-02-21 18:01:29 | snows | 2 | 53800 | 162 | 1.580 | 34050.6 |
864 | 2022-02-21 01:35:45 | snows | 2 | 53800 | 162 | 1.580 | 34050.6 |
863 | 2022-02-20 15:23:27 | snows | 2 | 53800 | 162 | 1.640 | 32804.9 |
862 | 2022-02-20 02:58:25 | snows | 2 | 53800 | 162 | 1.576 | 34137.1 |
861 | 2022-02-19 11:43:39 | snows | 2 | 53800 | 162 | 1.390 | 38705.0 |
860 | 2022-02-19 01:34:03 | snows | 2 | 53800 | 162 | 1.360 | 39558.8 |
859 | 2022-02-18 15:20:43 | snows | 2 | 53800 | 162 | 1.720 | 31279.1 |
858 | 2022-02-18 06:20:41 | snows | 2 | 53800 | 162 | 1.546 | 34799.5 |
857 | 2022-02-17 19:29:22 | snows | 2 | 53800 | 162 | 1.876 | 28678.0 |
856 | 2022-02-17 07:24:13 | snows | 2 | 53800 | 162 | 1.420 | 37887.3 |
855 | 2022-02-16 13:43:39 | snows | 2 | 53800 | 162 | 1.640 | 32804.9 |
854 | 2022-02-15 19:41:14 | snows | 2 | 53800 | 162 | 1.656 | 32487.9 |
853 | 2022-02-15 03:54:05 | snows | 2 | 53800 | 162 | 1.390 | 38705.0 |
852 | 2022-02-14 11:39:31 | snows | 2 | 53800 | 162 | 1.436 | 37465.2 |
851 | 2022-02-13 17:53:29 | snows | 2 | 53800 | 162 | 1.626 | 33087.3 |
850 | 2022-02-07 09:29:37 | snows | 2 | 53800 | 162 | 1.393 | 38621.7 |
849 | 2022-02-06 16:52:22 | snows | 2 | 53800 | 162 | 3.423 | 15717.2 |
848 | 2022-02-05 17:39:20 | snows | 2 | 53800 | 162 | 1.720 | 31279.1 |
847 | 2022-02-05 01:09:36 | snows | 2 | 53800 | 162 | 1.690 | 31834.3 |
846 | 2022-02-04 14:00:04 | snows | 2 | 53800 | 162 | 1.390 | 38705.0 |
845 | 2022-02-03 23:12:07 | snows | 2 | 53800 | 162 | 1.563 | 34421.0 |
844 | 2022-02-03 11:07:09 | snows | 2 | 53800 | 162 | 1.563 | 34421.0 |
843 | 2022-02-03 03:24:17 | snows | 2 | 53800 | 162 | 1.610 | 33416.1 |
842 | 2022-02-02 10:55:44 | snows | 2 | 53800 | 162 | 1.360 | 39558.8 |
841 | 2022-02-01 12:56:20 | snows | 2 | 53800 | 162 | 1.436 | 37465.2 |
840 | 2022-02-01 02:10:59 | snows | 2 | 53800 | 162 | 1.656 | 32487.9 |
839 | 2022-01-31 10:03:01 | snows | 2 | 53800 | 162 | 1.593 | 33772.8 |
838 | 2022-01-30 21:05:46 | snows | 2 | 53800 | 162 | 1.733 | 31044.4 |
837 | 2022-01-30 08:37:25 | snows | 2 | 53800 | 162 | 1.376 | 39098.8 |
836 | 2022-01-29 15:08:45 | snows | 2 | 53800 | 162 | 2.593 | 20748.2 |
835 | 2022-01-28 20:10:45 | snows | 2 | 53800 | 162 | 1.690 | 31834.3 |
834 | 2022-01-28 01:56:16 | snows | 2 | 53800 | 162 | 1.406 | 38264.6 |
833 | 2022-01-27 07:04:01 | snows | 2 | 53800 | 162 | 1.406 | 38264.6 |
832 | 2022-01-26 13:52:47 | snows | 2 | 53800 | 162 | 1.720 | 31279.1 |