History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"good"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
872 | 2024-05-03 21:21:03 | good | 1 | 13983 | 19 | 0.283 | 49409.9 |
871 | 2024-04-30 07:32:57 | good | 1 | 13983 | 19 | 0.423 | 33056.7 |
870 | 2024-04-22 17:56:32 | good | 1 | 13983 | 19 | 0.533 | 26234.5 |
869 | 2024-04-22 17:56:07 | good | 2 | 29872 | 250 | 0.843 | 35435.3 |
868 | 2024-04-22 17:56:03 | good | 1 | 13983 | 19 | 0.346 | 40413.3 |
867 | 2024-04-20 11:13:59 | good | 1 | 13983 | 19 | 0.283 | 49409.9 |
866 | 2024-04-17 13:31:59 | good | 1 | 13983 | 19 | 0.390 | 35853.8 |
865 | 2024-04-15 13:32:30 | good | 1 | 13983 | 19 | 0.330 | 42372.7 |
864 | 2024-04-14 19:18:43 | good | 1 | 13983 | 19 | 0.360 | 38841.7 |
863 | 2024-04-02 23:02:50 | good | 1 | 13983 | 19 | 1.126 | 12418.3 |
862 | 2024-04-01 17:53:34 | good | 2 | 29872 | 250 | 1.013 | 29488.6 |
861 | 2024-04-01 16:07:41 | good | 1 | 13983 | 19 | 0.266 | 52567.7 |
860 | 2024-03-31 00:21:52 | good | 1 | 13983 | 19 | 0.800 | 17478.8 |
859 | 2024-03-23 08:45:14 | good | 1 | 13983 | 19 | 0.563 | 24836.6 |
858 | 2024-03-03 19:37:04 | good | 1 | 13983 | 19 | 0.233 | 60012.9 |
857 | 2024-03-02 14:26:45 | good | 2 | 29872 | 250 | 3.940 | 7581.7 |
856 | 2024-03-02 13:52:00 | good | 1 | 13983 | 19 | 0.280 | 49939.3 |
855 | 2024-02-29 23:03:08 | good | 1 | 13983 | 19 | 0.266 | 52567.7 |
854 | 2024-02-28 21:45:39 | good | 1 | 13983 | 19 | 0.250 | 55932.0 |
853 | 2024-02-22 06:16:13 | good | 2 | 29872 | 250 | 0.906 | 32971.3 |
852 | 2024-02-21 21:15:01 | good | 1 | 13983 | 19 | 0.513 | 27257.3 |
851 | 2024-02-20 19:29:18 | good | 1 | 13983 | 19 | 0.250 | 55932.0 |
850 | 2024-02-20 07:20:49 | good | 1 | 13983 | 19 | 0.546 | 25609.9 |
849 | 2024-01-21 06:11:42 | good | 1 | 13983 | 19 | 0.250 | 55932.0 |
848 | 2023-12-30 20:20:00 | good | 1 | 13983 | 19 | 0.216 | 64736.1 |
847 | 2023-12-22 13:13:14 | good | 2 | 29872 | 250 | 0.876 | 34100.5 |
846 | 2023-11-27 23:22:09 | good | 2 | 29872 | 250 | 0.796 | 37527.6 |
845 | 2023-11-18 05:41:39 | good | 1 | 13983 | 19 | 0.236 | 59250.0 |
844 | 2023-11-13 11:46:13 | good | 2 | 29872 | 250 | 0.750 | 39829.3 |
843 | 2023-11-12 15:05:49 | good | 1 | 13983 | 19 | 0.233 | 60012.9 |
842 | 2023-11-09 22:52:34 | good | 1 | 13983 | 19 | 0.250 | 55932.0 |
841 | 2023-11-03 19:59:12 | good | 1 | 13983 | 19 | 0.250 | 55932.0 |
840 | 2023-10-26 18:43:10 | good | 1 | 13983 | 19 | 0.250 | 55932.0 |
839 | 2023-10-20 10:29:29 | good | 1 | 13983 | 19 | 0.250 | 55932.0 |
838 | 2023-10-19 21:47:34 | good | 1 | 13983 | 19 | 0.220 | 63559.1 |
837 | 2023-10-17 07:04:53 | good | 1 | 13983 | 19 | 0.876 | 15962.3 |
836 | 2023-10-14 13:42:04 | good | 2 | 29872 | 250 | 0.733 | 40753.1 |
835 | 2023-10-10 13:53:37 | good | 1 | 13983 | 19 | 0.216 | 64736.1 |
834 | 2023-10-04 00:38:56 | good | 1 | 13983 | 19 | 0.233 | 60012.9 |
833 | 2023-09-24 06:52:50 | good | 1 | 13983 | 19 | 0.200 | 69915.0 |
832 | 2023-09-23 17:33:06 | good | 1 | 13983 | 19 | 0.216 | 64736.1 |
831 | 2023-08-14 13:42:25 | good | 1 | 13983 | 19 | 0.250 | 55932.0 |
830 | 2023-07-19 22:00:33 | good | 1 | 13983 | 19 | 0.220 | 63559.1 |
829 | 2023-07-19 13:49:56 | good | 1 | 13983 | 19 | 0.220 | 63559.1 |
828 | 2023-06-27 20:21:02 | good | 1 | 13983 | 19 | 0.233 | 60012.9 |
827 | 2023-05-28 15:36:06 | good | 1 | 13983 | 19 | 0.420 | 33292.9 |
826 | 2023-05-14 21:37:27 | good | 1 | 13983 | 19 | 0.220 | 63559.1 |
825 | 2023-05-05 23:48:07 | good | 1 | 13983 | 19 | 0.203 | 68881.8 |
824 | 2023-04-11 16:22:34 | good | 1 | 13983 | 19 | 0.250 | 55932.0 |
823 | 2023-04-08 20:24:12 | good | 1 | 13983 | 19 | 0.203 | 68881.8 |
822 | 2023-04-04 16:05:17 | good | 1 | 13983 | 19 | 0.203 | 68881.8 |
821 | 2023-03-15 11:07:01 | good | 1 | 13983 | 19 | 0.203 | 68881.8 |
820 | 2023-03-11 01:48:11 | good | 1 | 13983 | 19 | 0.220 | 63559.1 |
819 | 2023-02-15 02:34:43 | good | 1 | 13983 | 19 | 0.440 | 31779.5 |
818 | 2023-02-11 07:21:00 | good | 1 | 13983 | 19 | 0.220 | 63559.1 |
817 | 2023-01-21 08:42:41 | good | 1 | 13983 | 19 | 0.233 | 60012.9 |
816 | 2023-01-06 13:58:05 | good | 1 | 13983 | 19 | 0.203 | 68881.8 |
815 | 2023-01-01 02:58:22 | good | 1 | 13983 | 19 | 0.233 | 60012.9 |
814 | 2022-12-23 15:30:25 | good | 1 | 13983 | 19 | 0.250 | 55932.0 |
813 | 2022-12-07 06:13:06 | good | 1 | 13983 | 19 | 0.236 | 59250.0 |
812 | 2022-12-05 03:44:43 | good | 1 | 13983 | 19 | 0.206 | 67878.6 |
811 | 2022-11-06 19:40:07 | good | 1 | 13983 | 19 | 0.220 | 63559.1 |
810 | 2022-10-21 07:10:17 | good | 1 | 13983 | 19 | 0.203 | 68881.8 |
809 | 2022-10-19 05:28:45 | good | 1 | 13983 | 19 | 0.220 | 63559.1 |
808 | 2022-09-22 23:36:47 | good | 1 | 13983 | 19 | 0.216 | 64736.1 |
807 | 2022-09-22 20:27:55 | good | 1 | 13983 | 19 | 0.220 | 63559.1 |
806 | 2022-09-19 20:30:43 | good | 1 | 13983 | 19 | 0.423 | 33056.7 |
805 | 2022-09-19 09:08:27 | good | 1 | 13983 | 19 | 0.220 | 63559.1 |
804 | 2022-09-07 16:03:03 | good | 1 | 13983 | 19 | 0.233 | 60012.9 |
803 | 2022-09-05 14:03:18 | good | 1 | 13983 | 19 | 0.233 | 60012.9 |
802 | 2022-08-14 05:44:15 | good | 1 | 13983 | 19 | 0.313 | 44674.1 |
801 | 2022-08-07 05:21:53 | good | 1 | 13983 | 19 | 0.220 | 63559.1 |
800 | 2022-07-30 05:48:59 | good | 1 | 13983 | 19 | 0.220 | 63559.1 |
799 | 2022-07-28 14:34:18 | good | 1 | 13983 | 19 | 0.236 | 59250.0 |
798 | 2022-07-17 21:47:28 | good | 1 | 13983 | 19 | 0.203 | 68881.8 |
797 | 2022-07-16 08:27:40 | good | 1 | 13983 | 19 | 0.236 | 59250.0 |
796 | 2022-07-03 12:24:07 | good | 1 | 13983 | 19 | 0.203 | 68881.8 |
795 | 2022-06-17 12:58:52 | good | 1 | 13983 | 19 | 0.216 | 64736.1 |
794 | 2022-06-16 12:22:30 | good | 1 | 13983 | 19 | 0.233 | 60012.9 |
793 | 2022-06-09 11:21:24 | good | 1 | 13983 | 19 | 0.236 | 59250.0 |
792 | 2022-06-05 20:41:48 | good | 1 | 13983 | 19 | 0.220 | 63559.1 |
791 | 2022-05-30 21:55:09 | good | 1 | 13983 | 19 | 0.216 | 64736.1 |
790 | 2022-05-29 07:21:12 | good | 1 | 13983 | 19 | 0.233 | 60012.9 |
789 | 2022-05-26 04:06:58 | good | 1 | 13983 | 19 | 0.233 | 60012.9 |
788 | 2022-04-30 04:45:39 | good | 1 | 13983 | 19 | 0.236 | 59250.0 |
787 | 2022-04-27 15:35:30 | good | 1 | 13983 | 19 | 0.236 | 59250.0 |
786 | 2022-04-12 10:31:38 | good | 1 | 13983 | 19 | 0.266 | 52567.7 |
785 | 2022-04-10 17:02:57 | good | 1 | 13983 | 19 | 0.220 | 63559.1 |
784 | 2022-02-19 02:28:51 | good | 1 | 13983 | 19 | 0.266 | 52567.7 |
783 | 2022-01-18 21:35:41 | good | 1 | 13983 | 19 | 0.263 | 53167.3 |
782 | 2021-12-06 02:16:34 | good | 1 | 13983 | 19 | 0.250 | 55932.0 |
781 | 2021-11-19 20:42:07 | good | 1 | 13983 | 19 | 0.220 | 63559.1 |
780 | 2021-11-17 17:54:57 | good | 1 | 13983 | 19 | 0.233 | 60012.9 |
779 | 2021-11-14 15:16:52 | good | 1 | 13983 | 19 | 0.250 | 55932.0 |
778 | 2021-10-26 15:46:39 | good | 1 | 13983 | 19 | 0.233 | 60012.9 |
777 | 2021-10-06 14:28:43 | good | 1 | 13983 | 19 | 0.266 | 52567.7 |
776 | 2021-09-04 09:44:49 | good | 1 | 13983 | 19 | 0.216 | 64736.1 |
775 | 2021-09-02 03:08:31 | good | 1 | 13983 | 19 | 0.220 | 63559.1 |
774 | 2021-08-18 04:51:25 | good | 1 | 13983 | 19 | 0.250 | 55932.0 |
773 | 2021-08-17 20:08:45 | good | 1 | 13983 | 19 | 0.216 | 64736.1 |