History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"tear"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
879 | 2024-04-19 08:53:25 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
878 | 2024-04-14 23:26:20 | tear | 1 | 13983 | 25 | 0.376 | 37188.8 |
877 | 2024-04-14 23:24:52 | tear | 1 | 13983 | 25 | 0.280 | 49939.3 |
876 | 2024-04-13 19:09:31 | tear | 1 | 13983 | 25 | 0.343 | 40766.8 |
875 | 2024-04-07 13:55:31 | tear | 1 | 13983 | 25 | 0.393 | 35580.2 |
874 | 2024-04-05 00:24:47 | tear | 1 | 13983 | 25 | 0.216 | 64736.1 |
873 | 2024-03-30 19:53:21 | tear | 2 | 29872 | 309 | 3.033 | 9849.0 |
872 | 2024-03-30 18:39:41 | tear | 1 | 13983 | 25 | 0.500 | 27966.0 |
871 | 2024-03-05 19:37:43 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
870 | 2024-02-19 20:49:57 | tear | 1 | 13983 | 25 | 0.280 | 49939.3 |
869 | 2024-02-02 23:20:33 | tear | 1 | 13983 | 25 | 0.266 | 52567.7 |
868 | 2024-01-28 14:49:35 | tear | 1 | 13983 | 25 | 0.220 | 63559.1 |
867 | 2024-01-19 20:46:06 | tear | 1 | 13983 | 25 | 0.343 | 40766.8 |
866 | 2024-01-15 03:05:24 | tear | 1 | 13983 | 25 | 0.216 | 64736.1 |
865 | 2023-12-15 10:09:18 | tear | 1 | 13983 | 25 | 0.233 | 60012.9 |
864 | 2023-12-11 14:00:30 | tear | 2 | 29872 | 309 | 0.843 | 35435.3 |
863 | 2023-12-04 05:23:35 | tear | 1 | 13983 | 25 | 0.220 | 63559.1 |
862 | 2023-12-04 05:23:34 | tear | 1 | 13983 | 25 | 0.220 | 63559.1 |
861 | 2023-12-03 21:55:09 | tear | 1 | 13983 | 25 | 0.220 | 63559.1 |
860 | 2023-11-28 11:58:37 | tear | 2 | 29872 | 309 | 0.813 | 36742.9 |
859 | 2023-11-10 22:47:46 | tear | 1 | 13983 | 25 | 0.216 | 64736.1 |
858 | 2023-11-10 08:01:13 | tear | 1 | 13983 | 25 | 0.220 | 63559.1 |
857 | 2023-11-09 07:03:31 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
856 | 2023-10-31 12:16:32 | tear | 2 | 29872 | 309 | 0.856 | 34897.2 |
855 | 2023-10-26 00:10:00 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
854 | 2023-10-20 00:36:42 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
853 | 2023-10-18 03:29:08 | tear | 1 | 13983 | 25 | 0.220 | 63559.1 |
852 | 2023-10-11 02:13:17 | tear | 1 | 13983 | 25 | 0.236 | 59250.0 |
851 | 2023-10-04 08:05:19 | tear | 1 | 13983 | 25 | 0.220 | 63559.1 |
850 | 2023-10-03 11:56:41 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
849 | 2023-09-28 08:07:22 | tear | 2 | 29872 | 309 | 0.923 | 32364.0 |
848 | 2023-09-28 02:05:27 | tear | 2 | 29872 | 309 | 0.890 | 33564.0 |
847 | 2023-09-28 00:49:56 | tear | 1 | 13983 | 25 | 0.280 | 49939.3 |
846 | 2023-09-21 14:53:13 | tear | 1 | 13983 | 25 | 0.233 | 60012.9 |
845 | 2023-09-19 19:57:01 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
844 | 2023-08-29 22:18:21 | tear | 1 | 13983 | 25 | 0.266 | 52567.7 |
843 | 2023-08-11 18:13:06 | tear | 1 | 13983 | 25 | 0.220 | 63559.1 |
842 | 2023-06-16 13:17:54 | tear | 1 | 13983 | 25 | 0.236 | 59250.0 |
841 | 2023-05-31 06:54:53 | tear | 1 | 13983 | 25 | 0.203 | 68881.8 |
840 | 2023-05-25 13:35:39 | tear | 1 | 13983 | 25 | 0.216 | 64736.1 |
839 | 2023-05-18 07:01:39 | tear | 1 | 13983 | 25 | 0.236 | 59250.0 |
838 | 2023-05-06 19:19:48 | tear | 1 | 13983 | 25 | 0.220 | 63559.1 |
837 | 2023-04-05 10:38:19 | tear | 1 | 13983 | 25 | 0.216 | 64736.1 |
836 | 2023-03-31 14:03:55 | tear | 1 | 13983 | 25 | 0.203 | 68881.8 |
835 | 2023-03-25 06:24:20 | tear | 1 | 13983 | 25 | 0.233 | 60012.9 |
834 | 2023-03-16 21:10:00 | tear | 1 | 13983 | 25 | 0.220 | 63559.1 |
833 | 2023-02-25 06:44:17 | tear | 1 | 13983 | 25 | 0.216 | 64736.1 |
832 | 2023-02-12 01:48:55 | tear | 1 | 13983 | 25 | 0.203 | 68881.8 |
831 | 2023-01-22 02:04:37 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
830 | 2023-01-09 10:24:50 | tear | 1 | 13983 | 25 | 0.220 | 63559.1 |
829 | 2022-12-24 06:30:55 | tear | 1 | 13983 | 25 | 0.266 | 52567.7 |
828 | 2022-12-07 22:51:38 | tear | 1 | 13983 | 25 | 0.203 | 68881.8 |
827 | 2022-11-08 10:21:14 | tear | 1 | 13983 | 25 | 0.216 | 64736.1 |
826 | 2022-11-07 08:24:45 | tear | 1 | 13983 | 25 | 0.220 | 63559.1 |
825 | 2022-11-04 22:46:47 | tear | 1 | 13983 | 25 | 0.216 | 64736.1 |
824 | 2022-10-21 19:37:09 | tear | 1 | 13983 | 25 | 0.220 | 63559.1 |
823 | 2022-10-10 09:04:05 | tear | 1 | 13983 | 25 | 0.236 | 59250.0 |
822 | 2022-09-23 12:55:48 | tear | 1 | 13983 | 25 | 0.216 | 64736.1 |
821 | 2022-09-08 08:03:17 | tear | 1 | 13983 | 25 | 0.236 | 59250.0 |
820 | 2022-09-01 04:27:41 | tear | 1 | 13983 | 25 | 0.220 | 63559.1 |
819 | 2022-08-15 02:32:02 | tear | 1 | 13983 | 25 | 0.220 | 63559.1 |
818 | 2022-08-05 09:29:13 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
817 | 2022-07-29 10:28:59 | tear | 2 | 29872 | 309 | 0.750 | 39829.3 |
816 | 2022-07-29 10:02:11 | tear | 1 | 13983 | 25 | 0.203 | 68881.8 |
815 | 2022-07-19 18:09:45 | tear | 1 | 13983 | 25 | 0.203 | 68881.8 |
814 | 2022-07-15 07:08:44 | tear | 1 | 13983 | 25 | 0.200 | 69915.0 |
813 | 2022-06-15 12:06:32 | tear | 1 | 13983 | 25 | 0.220 | 63559.1 |
812 | 2022-06-15 05:46:26 | tear | 1 | 13983 | 25 | 0.216 | 64736.1 |
811 | 2022-05-31 23:23:44 | tear | 1 | 13983 | 25 | 0.220 | 63559.1 |
810 | 2022-05-31 12:03:42 | tear | 1 | 13983 | 25 | 0.220 | 63559.1 |
809 | 2022-04-28 08:33:04 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
808 | 2022-04-13 18:21:12 | tear | 1 | 13983 | 25 | 0.246 | 56841.5 |
807 | 2022-03-11 08:07:34 | tear | 1 | 13983 | 25 | 0.203 | 68881.8 |
806 | 2022-02-28 07:24:33 | tear | 2 | 29872 | 309 | 0.856 | 34897.2 |
805 | 2022-02-23 09:19:28 | tear | 1 | 13983 | 25 | 0.233 | 60012.9 |
804 | 2022-02-12 15:16:26 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
803 | 2021-12-04 08:55:05 | tear | 1 | 13983 | 25 | 0.390 | 35853.8 |
802 | 2021-12-02 02:53:37 | tear | 1 | 13983 | 25 | 0.216 | 64736.1 |
801 | 2021-11-24 07:27:10 | tear | 1 | 13983 | 25 | 0.470 | 29751.1 |
800 | 2021-10-29 07:28:04 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
799 | 2021-10-11 14:02:35 | tear | 1 | 13983 | 25 | 0.233 | 60012.9 |
798 | 2021-09-22 13:56:38 | tear | 1 | 13983 | 25 | 0.280 | 49939.3 |
797 | 2021-09-10 09:42:47 | tear | 1 | 13983 | 25 | 0.216 | 64736.1 |
796 | 2021-09-09 19:22:02 | tear | 1 | 13983 | 25 | 0.233 | 60012.9 |
795 | 2021-09-08 03:50:41 | tear | 1 | 13983 | 25 | 0.516 | 27098.8 |
794 | 2021-09-07 16:36:04 | tear | 1 | 13983 | 25 | 0.233 | 60012.9 |
793 | 2021-09-06 17:58:49 | tear | 1 | 13983 | 25 | 0.220 | 63559.1 |
792 | 2021-09-03 01:36:29 | tear | 1 | 13983 | 25 | 0.216 | 64736.1 |
791 | 2021-08-21 07:04:49 | tear | 1 | 13983 | 25 | 0.220 | 63559.1 |
790 | 2021-07-03 07:16:04 | tear | 1 | 13983 | 25 | 0.436 | 32071.1 |
789 | 2021-05-30 11:46:59 | tear | 1 | 13983 | 25 | 0.216 | 64736.1 |
788 | 2021-05-20 16:32:18 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
787 | 2021-05-05 03:50:19 | tear | 1 | 13983 | 25 | 0.533 | 26234.5 |
786 | 2021-05-02 18:53:46 | tear | 1 | 13983 | 25 | 0.250 | 55932.0 |
785 | 2021-04-16 19:29:08 | tear | 1 | 13983 | 25 | 0.233 | 60012.9 |
784 | 2021-03-31 20:43:51 | tear | 2 | 29872 | 309 | 0.783 | 38150.7 |
783 | 2021-03-19 19:16:35 | tear | 1 | 13983 | 25 | 0.233 | 60012.9 |
782 | 2021-02-18 03:26:37 | tear | 1 | 13983 | 25 | 0.220 | 63559.1 |
781 | 2021-02-09 11:42:54 | tear | 2 | 29872 | 309 | 0.763 | 39150.7 |
780 | 2021-01-29 12:31:10 | tear | 1 | 13983 | 25 | 0.220 | 63559.1 |