History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"garb"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
851 | 2025-08-28 17:00:17 | garb | 1 | 13983 | 11 | 0.250 | 55932.0 |
850 | 2025-08-27 17:33:28 | garb | 1 | 13983 | 11 | 0.250 | 55932.0 |
849 | 2025-08-24 20:05:31 | garb | 1 | 13983 | 11 | 0.686 | 20383.4 |
848 | 2025-08-19 14:52:20 | garb | 1 | 13983 | 11 | 0.906 | 15433.8 |
847 | 2025-08-17 01:39:13 | garb | 1 | 13983 | 11 | 0.546 | 25609.9 |
846 | 2025-08-14 07:31:28 | garb | 2 | 29872 | 256 | 3.813 | 7834.3 |
845 | 2025-08-13 13:41:28 | garb | 1 | 13983 | 11 | 0.640 | 21848.4 |
844 | 2025-08-12 05:17:54 | garb | 1 | 13983 | 11 | 0.656 | 21315.5 |
843 | 2025-08-10 04:08:47 | garb | 1 | 13983 | 11 | 0.736 | 18998.6 |
842 | 2025-08-07 23:03:36 | garb | 1 | 13983 | 11 | 0.280 | 49939.3 |
841 | 2025-08-03 23:47:11 | garb | 1 | 13983 | 11 | 1.000 | 13983.0 |
840 | 2025-08-01 02:00:17 | garb | 1 | 13983 | 11 | 1.123 | 12451.5 |
839 | 2025-07-28 04:14:49 | garb | 2 | 29872 | 256 | 2.046 | 14600.2 |
838 | 2025-07-27 05:04:08 | garb | 1 | 13983 | 11 | 0.640 | 21848.4 |
837 | 2025-07-26 10:06:34 | garb | 1 | 13983 | 11 | 0.250 | 55932.0 |
836 | 2025-07-24 06:23:18 | garb | 1 | 13983 | 11 | 2.046 | 6834.3 |
835 | 2025-07-21 16:36:12 | garb | 1 | 13983 | 11 | 0.280 | 49939.3 |
834 | 2025-07-21 12:49:23 | garb | 1 | 13983 | 11 | 0.250 | 55932.0 |
833 | 2025-07-18 09:36:58 | garb | 2 | 29872 | 256 | 1.893 | 15780.2 |
832 | 2025-07-17 00:09:25 | garb | 2 | 29872 | 256 | 3.846 | 7767.0 |
831 | 2025-07-15 21:16:41 | garb | 2 | 29872 | 256 | 0.906 | 32971.3 |
830 | 2025-07-12 03:42:03 | garb | 1 | 13983 | 11 | 0.250 | 55932.0 |
829 | 2025-07-11 15:07:20 | garb | 2 | 29872 | 256 | 4.703 | 6351.7 |
828 | 2025-07-10 09:38:51 | garb | 1 | 13983 | 11 | 1.250 | 11186.4 |
827 | 2025-07-02 22:57:25 | garb | 1 | 13983 | 11 | 0.280 | 49939.3 |
826 | 2025-07-02 00:18:34 | garb | 1 | 13983 | 11 | 1.156 | 12096.0 |
825 | 2025-07-01 01:03:19 | garb | 1 | 13983 | 11 | 0.250 | 55932.0 |
824 | 2025-06-27 23:50:24 | garb | 1 | 13983 | 11 | 1.453 | 9623.5 |
823 | 2025-06-26 05:35:26 | garb | 2 | 29872 | 256 | 4.593 | 6503.8 |
822 | 2025-06-23 15:39:20 | garb | 1 | 13983 | 11 | 0.246 | 56841.5 |
821 | 2025-06-21 00:40:51 | garb | 1 | 13983 | 11 | 0.546 | 25609.9 |
820 | 2025-06-19 04:09:12 | garb | 2 | 29872 | 256 | 2.830 | 10555.5 |
819 | 2025-06-17 19:49:55 | garb | 1 | 13983 | 11 | 0.763 | 18326.3 |
818 | 2025-06-17 06:37:51 | garb | 2 | 29872 | 256 | 0.906 | 32971.3 |
817 | 2025-06-17 00:02:43 | garb | 1 | 13983 | 11 | 1.670 | 8373.1 |
816 | 2025-06-16 15:48:09 | garb | 1 | 13983 | 11 | 0.970 | 14415.5 |
815 | 2025-06-15 08:38:33 | garb | 2 | 29872 | 256 | 0.783 | 38150.7 |
814 | 2025-06-15 06:21:32 | garb | 2 | 29872 | 256 | 2.203 | 13559.7 |
813 | 2025-06-13 21:09:29 | garb | 1 | 13983 | 11 | 0.720 | 19420.8 |
812 | 2025-06-13 15:00:27 | garb | 2 | 29872 | 256 | 1.033 | 28917.7 |
811 | 2025-06-12 23:43:25 | garb | 2 | 29872 | 256 | 4.203 | 7107.3 |
810 | 2025-06-12 05:38:44 | garb | 1 | 13983 | 11 | 0.686 | 20383.4 |
809 | 2025-06-11 19:00:29 | garb | 1 | 13983 | 11 | 0.250 | 55932.0 |
808 | 2025-06-11 13:46:38 | garb | 2 | 29872 | 256 | 4.203 | 7107.3 |
807 | 2025-06-10 03:02:57 | garb | 1 | 13983 | 11 | 0.686 | 20383.4 |
806 | 2025-06-09 14:46:48 | garb | 1 | 13983 | 11 | 0.233 | 60012.9 |
805 | 2025-06-09 11:50:59 | garb | 1 | 13983 | 11 | 0.250 | 55932.0 |
804 | 2025-06-02 08:16:45 | garb | 2 | 29872 | 256 | 4.486 | 6658.9 |
803 | 2025-06-02 00:31:35 | garb | 2 | 29872 | 256 | 2.266 | 13182.7 |
802 | 2025-06-01 22:21:34 | garb | 1 | 13983 | 11 | 1.376 | 10162.1 |
801 | 2025-05-31 19:10:54 | garb | 2 | 29872 | 256 | 4.296 | 6953.4 |
800 | 2025-05-30 05:32:17 | garb | 1 | 13983 | 11 | 0.283 | 49409.9 |
799 | 2025-05-30 05:23:17 | garb | 1 | 13983 | 11 | 0.250 | 55932.0 |
798 | 2025-05-28 14:24:08 | garb | 2 | 29872 | 256 | 0.860 | 34734.9 |
797 | 2025-05-28 04:02:21 | garb | 1 | 13983 | 11 | 0.250 | 55932.0 |
796 | 2025-05-26 21:54:54 | garb | 1 | 13983 | 11 | 1.076 | 12995.4 |
795 | 2025-05-24 23:07:44 | garb | 2 | 29872 | 256 | 1.173 | 25466.3 |
794 | 2025-05-23 03:37:07 | garb | 1 | 13983 | 11 | 0.576 | 24276.0 |
793 | 2025-05-23 00:55:42 | garb | 1 | 13983 | 11 | 0.233 | 60012.9 |
792 | 2025-05-17 03:09:04 | garb | 1 | 13983 | 11 | 1.180 | 11850.0 |
791 | 2025-05-16 23:12:08 | garb | 1 | 13983 | 11 | 1.563 | 8946.3 |
790 | 2025-05-16 15:53:45 | garb | 1 | 13983 | 11 | 1.813 | 7712.6 |
789 | 2025-05-16 06:40:37 | garb | 2 | 29872 | 256 | 4.033 | 7406.9 |
788 | 2025-05-15 07:52:39 | garb | 2 | 29872 | 256 | 6.423 | 4650.8 |
787 | 2025-05-13 10:04:24 | garb | 2 | 29872 | 256 | 1.783 | 16753.8 |
786 | 2025-05-13 03:55:26 | garb | 1 | 13983 | 11 | 2.123 | 6586.4 |
785 | 2025-05-12 04:01:01 | garb | 1 | 13983 | 11 | 0.670 | 20870.1 |
784 | 2025-05-11 20:53:29 | garb | 1 | 13983 | 11 | 1.123 | 12451.5 |
783 | 2025-05-11 14:43:55 | garb | 2 | 29872 | 256 | 0.953 | 31345.2 |
782 | 2025-05-11 02:22:36 | garb | 1 | 13983 | 11 | 1.406 | 9945.2 |
781 | 2025-05-11 00:48:47 | garb | 1 | 13983 | 11 | 0.296 | 47239.9 |
780 | 2025-05-10 02:57:20 | garb | 1 | 13983 | 11 | 1.000 | 13983.0 |
779 | 2025-05-09 13:01:54 | garb | 1 | 13983 | 11 | 0.500 | 27966.0 |
778 | 2025-05-09 10:06:00 | garb | 2 | 29872 | 256 | 0.796 | 37527.6 |
777 | 2025-05-04 03:39:14 | garb | 1 | 13983 | 11 | 1.123 | 12451.5 |
776 | 2025-05-04 02:06:34 | garb | 1 | 13983 | 11 | 0.970 | 14415.5 |
775 | 2025-05-02 17:19:57 | garb | 1 | 13983 | 11 | 0.250 | 55932.0 |
774 | 2025-04-30 22:31:35 | garb | 1 | 13983 | 11 | 1.003 | 13941.2 |
773 | 2025-04-30 00:25:57 | garb | 1 | 13983 | 11 | 0.950 | 14718.9 |
772 | 2025-04-29 12:18:20 | garb | 1 | 13983 | 11 | 0.530 | 26383.0 |
771 | 2025-04-29 01:24:10 | garb | 1 | 13983 | 11 | 0.250 | 55932.0 |
770 | 2025-04-27 09:47:06 | garb | 1 | 13983 | 11 | 0.233 | 60012.9 |
769 | 2025-04-27 09:46:13 | garb | 1 | 13983 | 11 | 0.250 | 55932.0 |
768 | 2025-04-19 22:37:27 | garb | 1 | 13983 | 11 | 1.033 | 13536.3 |
767 | 2025-04-17 06:33:10 | garb | 1 | 13983 | 11 | 0.250 | 55932.0 |
766 | 2025-04-17 03:41:53 | garb | 1 | 13983 | 11 | 0.263 | 53167.3 |
765 | 2025-04-15 07:25:55 | garb | 1 | 13983 | 11 | 2.110 | 6627.0 |
764 | 2025-04-14 15:15:17 | garb | 1 | 13983 | 11 | 1.643 | 8510.7 |
763 | 2025-04-12 06:23:50 | garb | 2 | 29872 | 256 | 6.063 | 4926.9 |
762 | 2025-04-10 20:23:25 | garb | 1 | 13983 | 11 | 0.750 | 18644.0 |
761 | 2025-04-10 13:05:58 | garb | 2 | 29872 | 256 | 0.920 | 32469.6 |
760 | 2025-03-20 00:01:35 | garb | 1 | 13983 | 11 | 0.250 | 55932.0 |
759 | 2025-03-14 21:04:08 | garb | 1 | 13983 | 11 | 1.080 | 12947.2 |
758 | 2025-03-13 03:30:12 | garb | 1 | 13983 | 11 | 0.280 | 49939.3 |
757 | 2025-03-12 21:49:21 | garb | 1 | 13983 | 11 | 1.030 | 13575.7 |
756 | 2025-03-11 05:05:16 | garb | 1 | 13983 | 11 | 1.626 | 8599.6 |
755 | 2025-03-10 22:47:11 | garb | 1 | 13983 | 11 | 0.266 | 52567.7 |
754 | 2025-03-09 03:53:19 | garb | 1 | 13983 | 11 | 0.936 | 14939.1 |
753 | 2025-03-01 03:53:17 | garb | 1 | 13983 | 11 | 0.220 | 63559.1 |
752 | 2025-02-26 04:38:01 | garb | 2 | 29872 | 256 | 4.906 | 6088.9 |