History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"slab"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
894 | 2024-04-25 02:40:29 | slab | 1 | 13983 | 17 | 0.296 | 47239.9 |
893 | 2024-04-24 20:33:38 | slab | 1 | 13983 | 17 | 0.546 | 25609.9 |
892 | 2024-04-24 07:57:27 | slab | 1 | 13983 | 17 | 0.580 | 24108.6 |
891 | 2024-04-24 07:55:23 | slab | 1 | 13983 | 17 | 0.250 | 55932.0 |
890 | 2024-04-19 01:37:40 | slab | 1 | 13983 | 17 | 0.236 | 59250.0 |
889 | 2024-04-08 16:40:37 | slab | 1 | 13983 | 17 | 0.910 | 15365.9 |
888 | 2024-04-01 15:30:24 | slab | 1 | 13983 | 17 | 0.266 | 52567.7 |
887 | 2024-03-31 00:03:17 | slab | 1 | 13983 | 17 | 0.310 | 45106.5 |
886 | 2024-03-30 20:08:28 | slab | 2 | 29872 | 223 | 2.530 | 11807.1 |
885 | 2024-03-30 12:14:17 | slab | 1 | 13983 | 17 | 0.546 | 25609.9 |
884 | 2024-03-30 12:14:13 | slab | 2 | 29872 | 223 | 0.923 | 32364.0 |
883 | 2024-03-26 20:36:52 | slab | 1 | 13983 | 17 | 0.560 | 24969.6 |
882 | 2024-03-19 12:29:28 | slab | 1 | 13983 | 17 | 0.780 | 17926.9 |
881 | 2024-03-08 17:49:05 | slab | 1 | 13983 | 17 | 0.876 | 15962.3 |
880 | 2024-03-02 14:43:28 | slab | 2 | 29872 | 223 | 1.000 | 29872.0 |
879 | 2024-03-02 13:35:52 | slab | 1 | 13983 | 17 | 0.436 | 32071.1 |
878 | 2024-02-25 16:18:18 | slab | 1 | 13983 | 17 | 0.500 | 27966.0 |
877 | 2024-02-06 04:43:06 | slab | 1 | 13983 | 17 | 0.280 | 49939.3 |
876 | 2024-02-06 04:42:54 | slab | 2 | 29872 | 223 | 0.923 | 32364.0 |
875 | 2024-02-06 04:42:50 | slab | 1 | 13983 | 17 | 0.263 | 53167.3 |
874 | 2024-01-29 22:21:42 | slab | 1 | 13983 | 17 | 0.266 | 52567.7 |
873 | 2024-01-28 13:32:23 | slab | 1 | 13983 | 17 | 0.250 | 55932.0 |
872 | 2024-01-27 06:39:45 | slab | 1 | 13983 | 17 | 0.250 | 55932.0 |
871 | 2024-01-25 20:13:41 | slab | 1 | 13983 | 17 | 0.233 | 60012.9 |
870 | 2024-01-12 18:44:49 | slab | 2 | 29872 | 223 | 0.766 | 38997.4 |
869 | 2024-01-07 03:10:32 | slab | 1 | 13983 | 17 | 0.236 | 59250.0 |
868 | 2023-12-29 16:12:16 | slab | 2 | 29872 | 223 | 0.750 | 39829.3 |
867 | 2023-12-27 00:57:30 | slab | 1 | 13983 | 17 | 0.203 | 68881.8 |
866 | 2023-12-05 03:20:50 | slab | 2 | 29872 | 223 | 0.750 | 39829.3 |
865 | 2023-12-03 19:28:20 | slab | 1 | 13983 | 17 | 0.216 | 64736.1 |
864 | 2023-12-01 05:57:07 | slab | 1 | 13983 | 17 | 0.233 | 60012.9 |
863 | 2023-11-25 11:04:01 | slab | 1 | 13983 | 17 | 0.203 | 68881.8 |
862 | 2023-11-24 17:37:02 | slab | 2 | 29872 | 223 | 0.766 | 38997.4 |
861 | 2023-11-12 18:14:30 | slab | 2 | 29872 | 223 | 0.826 | 36164.6 |
860 | 2023-11-10 21:16:39 | slab | 1 | 13983 | 17 | 0.250 | 55932.0 |
859 | 2023-11-09 12:12:40 | slab | 1 | 13983 | 17 | 0.236 | 59250.0 |
858 | 2023-11-05 15:43:48 | slab | 2 | 29872 | 223 | 0.890 | 33564.0 |
857 | 2023-11-02 07:41:32 | slab | 1 | 13983 | 17 | 0.250 | 55932.0 |
856 | 2023-10-26 10:30:50 | slab | 1 | 13983 | 17 | 0.250 | 55932.0 |
855 | 2023-10-25 20:54:54 | slab | 1 | 13983 | 17 | 0.220 | 63559.1 |
854 | 2023-10-24 22:36:40 | slab | 1 | 13983 | 17 | 0.236 | 59250.0 |
853 | 2023-10-21 11:25:50 | slab | 1 | 13983 | 17 | 0.216 | 64736.1 |
852 | 2023-10-20 05:53:16 | slab | 1 | 13983 | 17 | 0.220 | 63559.1 |
851 | 2023-10-17 03:06:08 | slab | 1 | 13983 | 17 | 0.203 | 68881.8 |
850 | 2023-10-15 14:09:07 | slab | 1 | 13983 | 17 | 0.250 | 55932.0 |
849 | 2023-10-11 21:26:18 | slab | 1 | 13983 | 17 | 0.236 | 59250.0 |
848 | 2023-10-03 19:14:25 | slab | 1 | 13983 | 17 | 0.220 | 63559.1 |
847 | 2023-10-03 10:26:28 | slab | 2 | 29872 | 223 | 0.873 | 34217.6 |
846 | 2023-10-03 00:02:34 | slab | 2 | 29872 | 223 | 1.500 | 19914.7 |
845 | 2023-09-27 02:53:08 | slab | 1 | 13983 | 17 | 0.500 | 27966.0 |
844 | 2023-09-25 14:09:44 | slab | 1 | 13983 | 17 | 0.216 | 64736.1 |
843 | 2023-09-23 02:34:20 | slab | 1 | 13983 | 17 | 0.203 | 68881.8 |
842 | 2023-09-13 06:06:32 | slab | 1 | 13983 | 17 | 0.250 | 55932.0 |
841 | 2023-09-11 06:02:39 | slab | 1 | 13983 | 17 | 0.233 | 60012.9 |
840 | 2023-09-11 00:09:38 | slab | 1 | 13983 | 17 | 0.203 | 68881.8 |
839 | 2023-08-30 03:44:01 | slab | 1 | 13983 | 17 | 0.233 | 60012.9 |
838 | 2023-08-29 03:33:14 | slab | 1 | 13983 | 17 | 0.326 | 42892.6 |
837 | 2023-08-16 16:37:13 | slab | 1 | 13983 | 17 | 0.220 | 63559.1 |
836 | 2023-08-15 12:42:46 | slab | 1 | 13983 | 17 | 0.220 | 63559.1 |
835 | 2023-08-10 23:50:07 | slab | 1 | 13983 | 17 | 0.233 | 60012.9 |
834 | 2023-07-28 16:05:28 | slab | 1 | 13983 | 17 | 0.233 | 60012.9 |
833 | 2023-07-26 17:53:58 | slab | 1 | 13983 | 17 | 0.296 | 47239.9 |
832 | 2023-07-24 23:44:28 | slab | 1 | 13983 | 17 | 0.266 | 52567.7 |
831 | 2023-07-21 09:57:14 | slab | 1 | 13983 | 17 | 0.233 | 60012.9 |
830 | 2023-07-20 23:01:19 | slab | 1 | 13983 | 17 | 0.216 | 64736.1 |
829 | 2023-07-19 22:34:00 | slab | 1 | 13983 | 17 | 0.220 | 63559.1 |
828 | 2023-07-18 19:16:22 | slab | 1 | 13983 | 17 | 0.233 | 60012.9 |
827 | 2023-07-14 08:54:37 | slab | 2 | 29872 | 223 | 0.780 | 38297.4 |
826 | 2023-07-01 15:13:27 | slab | 1 | 13983 | 17 | 0.250 | 55932.0 |
825 | 2023-05-11 16:52:13 | slab | 1 | 13983 | 17 | 0.216 | 64736.1 |
824 | 2023-04-02 11:25:57 | slab | 2 | 29872 | 223 | 0.750 | 39829.3 |
823 | 2023-03-06 02:08:17 | slab | 1 | 13983 | 17 | 0.220 | 63559.1 |
822 | 2023-03-05 10:55:13 | slab | 1 | 13983 | 17 | 0.233 | 60012.9 |
821 | 2023-03-02 00:44:00 | slab | 1 | 13983 | 17 | 0.216 | 64736.1 |
820 | 2023-01-03 12:42:55 | slab | 2 | 29872 | 223 | 0.733 | 40753.1 |
819 | 2023-01-01 17:26:26 | slab | 2 | 29872 | 223 | 0.783 | 38150.7 |
818 | 2023-01-01 14:10:03 | slab | 2 | 29872 | 223 | 0.906 | 32971.3 |
817 | 2022-12-29 15:56:01 | slab | 1 | 13983 | 17 | 0.220 | 63559.1 |
816 | 2022-11-26 14:24:31 | slab | 1 | 13983 | 17 | 0.233 | 60012.9 |
815 | 2022-11-02 17:02:43 | slab | 1 | 13983 | 17 | 0.233 | 60012.9 |
814 | 2022-10-30 03:01:31 | slab | 1 | 13983 | 17 | 0.203 | 68881.8 |
813 | 2022-09-19 14:57:02 | slab | 1 | 13983 | 17 | 0.220 | 63559.1 |
812 | 2022-09-09 20:32:30 | slab | 2 | 29872 | 223 | 0.750 | 39829.3 |
811 | 2022-09-07 18:45:16 | slab | 2 | 29872 | 223 | 0.733 | 40753.1 |
810 | 2022-08-14 07:40:12 | slab | 1 | 13983 | 17 | 0.236 | 59250.0 |
809 | 2022-08-07 06:43:47 | slab | 1 | 13983 | 17 | 0.216 | 64736.1 |
808 | 2022-08-06 00:06:53 | slab | 1 | 13983 | 17 | 0.216 | 64736.1 |
807 | 2022-07-29 03:08:42 | slab | 1 | 13983 | 17 | 0.483 | 28950.3 |
806 | 2022-07-17 22:56:21 | slab | 1 | 13983 | 17 | 0.216 | 64736.1 |
805 | 2022-06-25 07:53:19 | slab | 1 | 13983 | 17 | 0.216 | 64736.1 |
804 | 2022-05-03 14:57:59 | slab | 1 | 13983 | 17 | 0.313 | 44674.1 |
803 | 2022-03-24 18:28:59 | slab | 2 | 29872 | 223 | 0.906 | 32971.3 |
802 | 2022-02-23 09:35:34 | slab | 1 | 13983 | 17 | 0.220 | 63559.1 |
801 | 2022-02-20 01:10:06 | slab | 1 | 13983 | 17 | 0.220 | 63559.1 |
800 | 2022-01-16 04:28:43 | slab | 1 | 13983 | 17 | 0.266 | 52567.7 |
799 | 2021-12-07 12:13:48 | slab | 2 | 29872 | 223 | 0.890 | 33564.0 |
798 | 2021-11-14 02:09:31 | slab | 1 | 13983 | 17 | 0.220 | 63559.1 |
797 | 2021-11-12 00:09:06 | slab | 1 | 13983 | 17 | 0.343 | 40766.8 |
796 | 2021-10-26 05:39:40 | slab | 1 | 13983 | 17 | 0.216 | 64736.1 |
795 | 2021-10-01 18:59:21 | slab | 1 | 13983 | 17 | 0.263 | 53167.3 |