History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"plots"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
849 | 2024-05-02 07:45:08 | plots | 1 | 28756 | 15 | 0.533 | 53951.2 |
848 | 2024-04-29 16:14:53 | plots | 1 | 28756 | 15 | 1.093 | 26309.2 |
847 | 2024-04-27 04:56:02 | plots | 1 | 28756 | 15 | 0.546 | 52666.7 |
846 | 2024-04-14 14:22:17 | plots | 1 | 28756 | 15 | 2.640 | 10892.4 |
845 | 2024-04-03 02:35:48 | plots | 1 | 28756 | 15 | 1.703 | 16885.5 |
844 | 2024-03-31 03:22:07 | plots | 1 | 28756 | 15 | 0.563 | 51076.4 |
843 | 2024-03-29 06:53:37 | plots | 2 | 53800 | 230 | 3.766 | 14285.7 |
842 | 2024-03-29 04:24:51 | plots | 1 | 28756 | 15 | 0.516 | 55728.7 |
841 | 2024-03-28 22:05:46 | plots | 2 | 53800 | 230 | 1.703 | 31591.3 |
840 | 2024-03-11 00:30:05 | plots | 1 | 28756 | 15 | 0.483 | 59536.2 |
839 | 2024-02-28 01:28:13 | plots | 2 | 53800 | 230 | 1.610 | 33416.1 |
838 | 2024-02-28 01:28:11 | plots | 1 | 28756 | 15 | 0.453 | 63479.0 |
837 | 2024-02-27 08:44:35 | plots | 1 | 28756 | 15 | 0.500 | 57512.0 |
836 | 2024-02-02 19:05:59 | plots | 1 | 28756 | 15 | 0.420 | 68466.7 |
835 | 2024-01-28 21:27:17 | plots | 1 | 28756 | 15 | 0.516 | 55728.7 |
834 | 2024-01-01 20:53:37 | plots | 2 | 53800 | 230 | 1.643 | 32745.0 |
833 | 2023-12-18 23:45:15 | plots | 1 | 28756 | 15 | 0.470 | 61183.0 |
832 | 2023-12-07 18:32:40 | plots | 1 | 28756 | 15 | 0.470 | 61183.0 |
831 | 2023-12-06 21:22:29 | plots | 1 | 28756 | 15 | 0.470 | 61183.0 |
830 | 2023-12-04 07:47:39 | plots | 2 | 53800 | 230 | 1.343 | 40059.6 |
829 | 2023-11-27 06:16:34 | plots | 1 | 28756 | 15 | 0.483 | 59536.2 |
828 | 2023-11-13 23:13:44 | plots | 1 | 28756 | 15 | 0.423 | 67981.1 |
827 | 2023-10-31 13:30:25 | plots | 1 | 28756 | 15 | 0.500 | 57512.0 |
826 | 2023-10-30 04:56:08 | plots | 2 | 53800 | 230 | 1.390 | 38705.0 |
825 | 2023-10-25 06:21:31 | plots | 2 | 53800 | 230 | 1.533 | 35094.6 |
824 | 2023-10-19 18:55:11 | plots | 1 | 28756 | 15 | 0.593 | 48492.4 |
823 | 2023-10-18 07:38:39 | plots | 1 | 28756 | 15 | 0.440 | 65354.5 |
822 | 2023-10-11 16:08:09 | plots | 1 | 28756 | 15 | 0.516 | 55728.7 |
821 | 2023-10-06 08:02:52 | plots | 1 | 28756 | 15 | 0.436 | 65954.1 |
820 | 2023-10-04 01:28:50 | plots | 1 | 28756 | 15 | 0.420 | 68466.7 |
819 | 2023-09-24 06:55:53 | plots | 1 | 28756 | 15 | 0.436 | 65954.1 |
818 | 2023-09-23 14:58:54 | plots | 1 | 28756 | 15 | 0.483 | 59536.2 |
817 | 2023-09-21 22:03:16 | plots | 1 | 28756 | 15 | 0.453 | 63479.0 |
816 | 2023-09-21 00:55:43 | plots | 1 | 28756 | 15 | 0.436 | 65954.1 |
815 | 2023-09-15 03:37:56 | plots | 1 | 28756 | 15 | 0.486 | 59168.7 |
814 | 2023-09-14 03:26:04 | plots | 1 | 28756 | 15 | 0.466 | 61708.2 |
813 | 2023-09-05 14:19:42 | plots | 1 | 28756 | 15 | 0.516 | 55728.7 |
812 | 2023-09-02 05:38:27 | plots | 2 | 53800 | 230 | 1.593 | 33772.8 |
811 | 2023-08-15 07:14:11 | plots | 1 | 28756 | 15 | 0.450 | 63902.2 |
810 | 2023-07-28 21:40:58 | plots | 1 | 28756 | 15 | 0.470 | 61183.0 |
809 | 2023-07-27 09:54:04 | plots | 1 | 28756 | 15 | 0.440 | 65354.5 |
808 | 2023-07-26 15:31:44 | plots | 1 | 28756 | 15 | 0.483 | 59536.2 |
807 | 2023-07-25 13:47:08 | plots | 1 | 28756 | 15 | 0.470 | 61183.0 |
806 | 2023-07-24 15:24:06 | plots | 1 | 28756 | 15 | 0.440 | 65354.5 |
805 | 2023-07-23 00:01:17 | plots | 1 | 28756 | 15 | 0.453 | 63479.0 |
804 | 2023-07-21 13:24:04 | plots | 1 | 28756 | 15 | 0.436 | 65954.1 |
803 | 2023-07-20 13:56:19 | plots | 1 | 28756 | 15 | 0.436 | 65954.1 |
802 | 2023-07-19 12:02:45 | plots | 1 | 28756 | 15 | 0.686 | 41918.4 |
801 | 2023-07-16 18:43:03 | plots | 1 | 28756 | 15 | 0.466 | 61708.2 |
800 | 2023-07-12 18:55:37 | plots | 1 | 28756 | 15 | 0.483 | 59536.2 |
799 | 2023-07-11 15:42:43 | plots | 1 | 28756 | 15 | 0.516 | 55728.7 |
798 | 2023-07-10 15:31:09 | plots | 1 | 28756 | 15 | 0.486 | 59168.7 |
797 | 2023-05-19 17:56:41 | plots | 2 | 53800 | 230 | 1.346 | 39970.3 |
796 | 2023-05-05 03:43:51 | plots | 1 | 28756 | 15 | 0.423 | 67981.1 |
795 | 2023-05-04 11:46:09 | plots | 1 | 28756 | 15 | 0.920 | 31256.5 |
794 | 2023-05-03 11:57:53 | plots | 1 | 28756 | 15 | 0.436 | 65954.1 |
793 | 2023-05-02 18:50:11 | plots | 1 | 28756 | 15 | 0.453 | 63479.0 |
792 | 2023-04-19 23:35:25 | plots | 1 | 28756 | 15 | 0.436 | 65954.1 |
791 | 2023-02-26 10:48:38 | plots | 2 | 53800 | 230 | 1.343 | 40059.6 |
790 | 2023-02-07 05:44:53 | plots | 1 | 28756 | 15 | 0.470 | 61183.0 |
789 | 2023-01-29 12:26:34 | plots | 1 | 28756 | 15 | 0.420 | 68466.7 |
788 | 2022-12-08 10:36:10 | plots | 2 | 53800 | 230 | 1.533 | 35094.6 |
787 | 2022-12-05 14:24:58 | plots | 1 | 28756 | 15 | 0.436 | 65954.1 |
786 | 2022-10-15 07:05:40 | plots | 1 | 28756 | 15 | 0.436 | 65954.1 |
785 | 2022-08-25 14:45:17 | plots | 2 | 53800 | 230 | 1.360 | 39558.8 |
784 | 2022-08-15 02:21:30 | plots | 1 | 28756 | 15 | 0.470 | 61183.0 |
783 | 2022-08-07 03:15:45 | plots | 1 | 28756 | 15 | 0.486 | 59168.7 |
782 | 2022-07-29 00:25:45 | plots | 1 | 28756 | 15 | 0.453 | 63479.0 |
781 | 2022-07-25 18:05:26 | plots | 2 | 53800 | 230 | 1.376 | 39098.8 |
780 | 2022-07-18 18:18:26 | plots | 1 | 28756 | 15 | 0.436 | 65954.1 |
779 | 2022-07-10 11:11:33 | plots | 1 | 28756 | 15 | 0.486 | 59168.7 |
778 | 2022-07-02 20:19:33 | plots | 1 | 28756 | 15 | 0.470 | 61183.0 |
777 | 2022-07-02 16:49:09 | plots | 1 | 28756 | 15 | 0.436 | 65954.1 |
776 | 2022-07-02 10:22:44 | plots | 1 | 28756 | 15 | 0.440 | 65354.5 |
775 | 2022-06-26 10:00:03 | plots | 2 | 53800 | 230 | 1.720 | 31279.1 |
774 | 2022-06-17 02:23:34 | plots | 1 | 28756 | 15 | 0.483 | 59536.2 |
773 | 2022-06-15 22:12:17 | plots | 1 | 28756 | 15 | 0.436 | 65954.1 |
772 | 2022-06-15 20:58:51 | plots | 1 | 28756 | 15 | 0.436 | 65954.1 |
771 | 2022-06-08 17:31:33 | plots | 1 | 28756 | 15 | 0.436 | 65954.1 |
770 | 2022-06-01 20:29:55 | plots | 1 | 28756 | 15 | 0.436 | 65954.1 |
769 | 2022-06-01 13:48:25 | plots | 1 | 28756 | 15 | 0.453 | 63479.0 |
768 | 2022-05-25 17:24:57 | plots | 1 | 28756 | 15 | 0.486 | 59168.7 |
767 | 2022-03-31 11:35:51 | plots | 1 | 28756 | 15 | 0.626 | 45936.1 |
766 | 2022-03-30 13:32:05 | plots | 1 | 28756 | 15 | 0.716 | 40162.0 |
765 | 2022-03-30 04:19:12 | plots | 1 | 28756 | 15 | 0.576 | 49923.6 |
764 | 2022-03-29 19:45:32 | plots | 1 | 28756 | 15 | 0.516 | 55728.7 |
763 | 2022-03-29 13:17:37 | plots | 1 | 28756 | 15 | 0.453 | 63479.0 |
762 | 2022-03-28 22:08:23 | plots | 1 | 28756 | 15 | 0.466 | 61708.2 |
761 | 2022-03-28 02:27:59 | plots | 1 | 28756 | 15 | 0.453 | 63479.0 |
760 | 2022-03-27 10:22:38 | plots | 1 | 28756 | 15 | 0.453 | 63479.0 |
759 | 2022-03-26 21:23:14 | plots | 1 | 28756 | 15 | 0.453 | 63479.0 |
758 | 2022-03-21 21:56:50 | plots | 1 | 28756 | 15 | 0.436 | 65954.1 |
757 | 2022-03-20 22:53:49 | plots | 1 | 28756 | 15 | 0.440 | 65354.5 |
756 | 2022-03-19 01:25:27 | plots | 1 | 28756 | 15 | 0.483 | 59536.2 |
755 | 2022-01-15 09:58:37 | plots | 1 | 28756 | 15 | 0.453 | 63479.0 |
754 | 2022-01-05 22:23:46 | plots | 1 | 28756 | 15 | 0.576 | 49923.6 |
753 | 2022-01-04 04:27:01 | plots | 1 | 28756 | 15 | 0.530 | 54256.6 |
752 | 2022-01-03 14:51:31 | plots | 1 | 28756 | 15 | 0.533 | 53951.2 |
751 | 2021-12-31 19:47:39 | plots | 1 | 28756 | 15 | 0.516 | 55728.7 |
750 | 2021-12-31 08:32:19 | plots | 1 | 28756 | 15 | 0.470 | 61183.0 |