History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"plot"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
799 | 2024-12-28 08:33:16 | plot | 1 | 13983 | 15 | 0.530 | 26383.0 |
798 | 2024-12-27 15:42:52 | plot | 2 | 29872 | 232 | 3.986 | 7494.2 |
797 | 2024-12-27 03:09:52 | plot | 2 | 29872 | 232 | 5.643 | 5293.6 |
796 | 2024-12-27 02:43:21 | plot | 1 | 13983 | 15 | 0.860 | 16259.3 |
795 | 2024-12-25 09:37:55 | plot | 1 | 13983 | 15 | 0.780 | 17926.9 |
794 | 2024-12-06 13:15:39 | plot | 2 | 29872 | 232 | 3.940 | 7581.7 |
793 | 2024-12-06 12:38:35 | plot | 1 | 13983 | 15 | 1.983 | 7051.4 |
792 | 2024-11-28 02:02:51 | plot | 1 | 13983 | 15 | 1.313 | 10649.7 |
791 | 2024-11-27 14:33:33 | plot | 2 | 29872 | 232 | 3.076 | 9711.3 |
790 | 2024-11-27 07:04:08 | plot | 2 | 29872 | 232 | 3.533 | 8455.1 |
789 | 2024-11-27 01:50:50 | plot | 2 | 29872 | 232 | 4.970 | 6010.5 |
788 | 2024-11-27 01:45:09 | plot | 1 | 13983 | 15 | 1.080 | 12947.2 |
787 | 2024-11-25 07:37:03 | plot | 1 | 13983 | 15 | 0.936 | 14939.1 |
786 | 2024-11-06 08:21:39 | plot | 2 | 29872 | 232 | 2.203 | 13559.7 |
785 | 2024-11-06 08:21:38 | plot | 1 | 13983 | 15 | 0.266 | 52567.7 |
784 | 2024-10-28 22:18:59 | plot | 1 | 13983 | 15 | 1.326 | 10545.2 |
783 | 2024-10-28 12:26:55 | plot | 2 | 29872 | 232 | 4.283 | 6974.6 |
782 | 2024-10-27 22:09:41 | plot | 2 | 29872 | 232 | 2.206 | 13541.3 |
781 | 2024-10-27 21:22:55 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
780 | 2024-10-26 04:00:43 | plot | 1 | 13983 | 15 | 0.640 | 21848.4 |
779 | 2024-10-24 19:31:03 | plot | 1 | 13983 | 15 | 0.953 | 14672.6 |
778 | 2024-10-09 01:28:04 | plot | 1 | 13983 | 15 | 1.640 | 8526.2 |
777 | 2024-10-08 21:48:57 | plot | 1 | 13983 | 15 | 1.890 | 7398.4 |
776 | 2024-10-07 07:16:35 | plot | 2 | 29872 | 232 | 6.220 | 4802.6 |
775 | 2024-10-07 07:11:20 | plot | 1 | 13983 | 15 | 0.530 | 26383.0 |
774 | 2024-10-06 19:24:36 | plot | 1 | 13983 | 15 | 1.486 | 9409.8 |
773 | 2024-10-06 15:25:36 | plot | 1 | 13983 | 15 | 1.000 | 13983.0 |
772 | 2024-09-28 14:09:23 | plot | 1 | 13983 | 15 | 0.203 | 68881.8 |
771 | 2024-09-28 11:13:12 | plot | 2 | 29872 | 232 | 8.750 | 3413.9 |
770 | 2024-09-27 18:31:43 | plot | 2 | 29872 | 232 | 6.610 | 4519.2 |
769 | 2024-09-27 18:28:03 | plot | 1 | 13983 | 15 | 1.483 | 9428.9 |
768 | 2024-09-26 01:25:58 | plot | 1 | 13983 | 15 | 1.813 | 7712.6 |
767 | 2024-09-09 19:53:13 | plot | 1 | 13983 | 15 | 0.890 | 15711.2 |
766 | 2024-09-07 05:15:03 | plot | 2 | 29872 | 232 | 5.640 | 5296.5 |
765 | 2024-09-07 04:58:48 | plot | 1 | 13983 | 15 | 2.296 | 6090.2 |
764 | 2024-08-30 03:51:54 | plot | 1 | 13983 | 15 | 1.360 | 10281.6 |
763 | 2024-08-29 05:54:00 | plot | 2 | 29872 | 232 | 3.720 | 8030.1 |
762 | 2024-08-29 03:48:40 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
761 | 2024-08-28 16:40:33 | plot | 2 | 29872 | 232 | 3.263 | 9154.8 |
760 | 2024-08-28 15:58:32 | plot | 1 | 13983 | 15 | 0.203 | 68881.8 |
759 | 2024-08-26 16:57:29 | plot | 1 | 13983 | 15 | 2.920 | 4788.7 |
758 | 2024-08-07 23:43:27 | plot | 1 | 13983 | 15 | 1.140 | 12265.8 |
757 | 2024-08-02 11:14:42 | plot | 2 | 29872 | 232 | 1.533 | 19486.0 |
756 | 2024-08-02 09:03:04 | plot | 1 | 13983 | 15 | 0.236 | 59250.0 |
755 | 2024-07-30 02:21:43 | plot | 2 | 29872 | 232 | 1.390 | 21490.6 |
754 | 2024-07-30 01:44:41 | plot | 1 | 13983 | 15 | 0.233 | 60012.9 |
753 | 2024-07-29 17:05:23 | plot | 1 | 13983 | 15 | 0.576 | 24276.0 |
752 | 2024-07-29 15:05:32 | plot | 1 | 13983 | 15 | 0.216 | 64736.1 |
751 | 2024-07-27 15:17:52 | plot | 1 | 13983 | 15 | 0.970 | 14415.5 |
750 | 2024-07-25 01:33:02 | plot | 1 | 13983 | 15 | 0.266 | 52567.7 |
749 | 2024-07-21 04:41:31 | plot | 1 | 13983 | 15 | 0.936 | 14939.1 |
748 | 2024-07-20 10:20:00 | plot | 1 | 13983 | 15 | 1.046 | 13368.1 |
747 | 2024-07-20 03:28:25 | plot | 1 | 13983 | 15 | 1.233 | 11340.6 |
746 | 2024-07-15 19:44:03 | plot | 2 | 29872 | 232 | 1.453 | 20558.8 |
745 | 2024-07-13 10:34:58 | plot | 1 | 13983 | 15 | 1.263 | 11071.3 |
744 | 2024-07-06 10:48:42 | plot | 1 | 13983 | 15 | 0.796 | 17566.6 |
743 | 2024-07-05 18:27:57 | plot | 1 | 13983 | 15 | 1.720 | 8129.7 |
742 | 2024-07-03 05:55:58 | plot | 1 | 13983 | 15 | 0.280 | 49939.3 |
741 | 2024-07-02 00:31:03 | plot | 1 | 13983 | 15 | 0.390 | 35853.8 |
740 | 2024-07-01 10:30:36 | plot | 1 | 13983 | 15 | 0.516 | 27098.8 |
739 | 2024-06-29 19:31:17 | plot | 2 | 29872 | 232 | 1.453 | 20558.8 |
738 | 2024-06-29 15:44:03 | plot | 2 | 29872 | 232 | 2.376 | 12572.4 |
737 | 2024-06-29 15:34:28 | plot | 2 | 29872 | 232 | 3.763 | 7938.3 |
736 | 2024-06-29 15:05:40 | plot | 1 | 13983 | 15 | 0.206 | 67878.6 |
735 | 2024-06-29 15:02:54 | plot | 1 | 13983 | 15 | 0.500 | 27966.0 |
734 | 2024-06-27 10:33:00 | plot | 1 | 13983 | 15 | 0.906 | 15433.8 |
733 | 2024-06-22 20:21:58 | plot | 1 | 13983 | 15 | 0.953 | 14672.6 |
732 | 2024-06-21 05:46:32 | plot | 1 | 13983 | 15 | 0.483 | 28950.3 |
731 | 2024-06-11 23:03:44 | plot | 1 | 13983 | 15 | 1.030 | 13575.7 |
730 | 2024-06-03 21:36:12 | plot | 1 | 13983 | 15 | 0.266 | 52567.7 |
729 | 2024-06-03 01:26:39 | plot | 1 | 13983 | 15 | 0.266 | 52567.7 |
728 | 2024-05-30 12:51:48 | plot | 2 | 29872 | 232 | 3.970 | 7524.4 |
727 | 2024-05-30 12:39:22 | plot | 1 | 13983 | 15 | 0.560 | 24969.6 |
726 | 2024-05-29 14:28:19 | plot | 2 | 29872 | 232 | 1.423 | 20992.3 |
725 | 2024-05-29 12:35:51 | plot | 2 | 29872 | 232 | 3.280 | 9107.3 |
724 | 2024-05-29 12:29:11 | plot | 1 | 13983 | 15 | 1.170 | 11951.3 |
723 | 2024-05-28 12:10:17 | plot | 1 | 13983 | 15 | 0.720 | 19420.8 |
722 | 2024-05-17 10:47:41 | plot | 1 | 13983 | 15 | 0.266 | 52567.7 |
721 | 2024-05-12 19:34:22 | plot | 1 | 13983 | 15 | 0.266 | 52567.7 |
720 | 2024-05-08 01:39:47 | plot | 1 | 13983 | 15 | 0.266 | 52567.7 |
719 | 2024-05-06 20:41:27 | plot | 1 | 13983 | 15 | 0.266 | 52567.7 |
718 | 2024-05-04 21:40:40 | plot | 2 | 29872 | 232 | 0.860 | 34734.9 |
717 | 2024-05-04 21:40:35 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
716 | 2024-05-04 21:38:17 | plot | 2 | 29872 | 232 | 0.953 | 31345.2 |
715 | 2024-05-04 20:38:09 | plot | 1 | 13983 | 15 | 0.280 | 49939.3 |
714 | 2024-04-30 07:09:51 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
713 | 2024-04-27 16:03:10 | plot | 1 | 13983 | 15 | 0.280 | 49939.3 |
712 | 2024-04-26 08:40:38 | plot | 1 | 13983 | 15 | 0.266 | 52567.7 |
711 | 2024-04-21 16:18:25 | plot | 1 | 13983 | 15 | 0.466 | 30006.4 |
710 | 2024-04-07 08:21:22 | plot | 1 | 13983 | 15 | 0.953 | 14672.6 |
709 | 2024-04-04 19:56:10 | plot | 2 | 29872 | 232 | 2.046 | 14600.2 |
708 | 2024-04-04 19:21:49 | plot | 1 | 13983 | 15 | 0.313 | 44674.1 |
707 | 2024-04-02 20:21:24 | plot | 1 | 13983 | 15 | 0.220 | 63559.1 |
706 | 2024-03-31 00:40:28 | plot | 2 | 29872 | 232 | 3.813 | 7834.3 |
705 | 2024-03-31 00:06:52 | plot | 1 | 13983 | 15 | 0.533 | 26234.5 |
704 | 2024-03-26 12:43:57 | plot | 1 | 13983 | 15 | 0.220 | 63559.1 |
703 | 2024-03-05 17:48:51 | plot | 1 | 13983 | 15 | 0.546 | 25609.9 |
702 | 2024-03-02 18:32:00 | plot | 2 | 29872 | 232 | 1.670 | 17887.4 |
701 | 2024-03-02 17:03:12 | plot | 1 | 13983 | 15 | 0.236 | 59250.0 |
700 | 2024-02-29 21:43:56 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |