History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"tight"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
820 | 2025-08-30 05:40:19 | tight | 3 | 83667 | 613 | 3.576 | 23396.8 |
819 | 2025-08-12 00:35:33 | tight | 1 | 28756 | 13 | 1.140 | 25224.6 |
818 | 2025-08-04 08:17:56 | tight | 1 | 28756 | 13 | 1.403 | 20496.1 |
817 | 2025-08-03 22:41:02 | tight | 1 | 28756 | 13 | 1.873 | 15352.9 |
816 | 2025-08-02 06:04:33 | tight | 2 | 53800 | 72 | 6.766 | 7951.5 |
815 | 2025-07-31 18:20:42 | tight | 3 | 83667 | 613 | 23.016 | 3635.2 |
814 | 2025-07-31 01:42:05 | tight | 1 | 28756 | 13 | 2.440 | 11785.2 |
813 | 2025-07-30 11:15:23 | tight | 3 | 83667 | 613 | 8.720 | 9594.8 |
812 | 2025-07-29 01:42:55 | tight | 2 | 53800 | 72 | 4.140 | 12995.2 |
811 | 2025-07-29 00:02:39 | tight | 3 | 83667 | 613 | 9.220 | 9074.5 |
810 | 2025-07-28 16:52:54 | tight | 3 | 83667 | 613 | 18.330 | 4564.5 |
809 | 2025-07-25 12:45:20 | tight | 1 | 28756 | 13 | 1.063 | 27051.7 |
808 | 2025-07-23 20:10:24 | tight | 1 | 28756 | 13 | 3.716 | 7738.4 |
807 | 2025-07-22 22:31:46 | tight | 3 | 83667 | 613 | 10.610 | 7885.7 |
806 | 2025-07-19 07:10:30 | tight | 1 | 28756 | 13 | 0.513 | 56054.6 |
805 | 2025-07-18 00:39:11 | tight | 1 | 28756 | 13 | 3.596 | 7996.7 |
804 | 2025-07-14 00:13:29 | tight | 1 | 28756 | 13 | 2.563 | 11219.7 |
803 | 2025-07-12 23:34:43 | tight | 1 | 28756 | 13 | 2.220 | 12953.2 |
802 | 2025-07-12 20:56:19 | tight | 3 | 83667 | 613 | 3.813 | 21942.6 |
801 | 2025-07-09 11:18:21 | tight | 1 | 28756 | 13 | 0.610 | 47141.0 |
800 | 2025-07-08 20:29:25 | tight | 3 | 83667 | 613 | 5.063 | 16525.2 |
799 | 2025-07-08 02:28:11 | tight | 3 | 83667 | 613 | 18.186 | 4600.6 |
798 | 2025-07-06 09:13:12 | tight | 3 | 83667 | 613 | 3.893 | 21491.7 |
797 | 2025-07-05 11:47:04 | tight | 3 | 83667 | 613 | 17.953 | 4660.3 |
796 | 2025-07-04 08:14:31 | tight | 1 | 28756 | 13 | 1.173 | 24514.9 |
795 | 2025-07-04 01:32:16 | tight | 1 | 28756 | 13 | 3.716 | 7738.4 |
794 | 2025-07-03 21:58:47 | tight | 1 | 28756 | 13 | 1.766 | 16283.1 |
793 | 2025-07-03 09:12:54 | tight | 2 | 53800 | 72 | 3.280 | 16402.4 |
792 | 2025-07-03 02:57:49 | tight | 1 | 28756 | 13 | 1.546 | 18600.3 |
791 | 2025-07-01 19:34:59 | tight | 3 | 83667 | 613 | 13.486 | 6204.0 |
790 | 2025-07-01 19:31:02 | tight | 1 | 28756 | 13 | 0.483 | 59536.2 |
789 | 2025-06-25 12:34:53 | tight | 3 | 83667 | 613 | 12.733 | 6570.9 |
788 | 2025-06-15 13:18:44 | tight | 2 | 53800 | 72 | 2.313 | 23259.8 |
787 | 2025-06-13 19:41:01 | tight | 1 | 28756 | 13 | 0.466 | 61708.2 |
786 | 2025-06-13 11:21:18 | tight | 3 | 83667 | 613 | 3.800 | 22017.6 |
785 | 2025-06-11 22:45:33 | tight | 1 | 28756 | 13 | 1.266 | 22714.1 |
784 | 2025-06-10 04:27:05 | tight | 3 | 83667 | 613 | 19.953 | 4193.2 |
783 | 2025-06-07 20:35:10 | tight | 3 | 83667 | 613 | 14.670 | 5703.3 |
782 | 2025-06-05 10:30:16 | tight | 3 | 83667 | 613 | 18.386 | 4550.6 |
781 | 2025-06-05 05:11:33 | tight | 3 | 83667 | 613 | 15.610 | 5359.8 |
780 | 2025-06-04 05:12:40 | tight | 2 | 53800 | 72 | 7.766 | 6927.6 |
779 | 2025-06-03 21:52:37 | tight | 1 | 28756 | 13 | 1.406 | 20452.3 |
778 | 2025-06-03 08:11:21 | tight | 1 | 28756 | 13 | 2.376 | 12102.7 |
777 | 2025-06-02 02:19:17 | tight | 3 | 83667 | 613 | 12.940 | 6465.8 |
776 | 2025-05-31 18:25:55 | tight | 1 | 28756 | 13 | 2.686 | 10705.9 |
775 | 2025-05-30 19:40:45 | tight | 1 | 28756 | 13 | 0.546 | 52666.7 |
774 | 2025-05-29 19:33:08 | tight | 3 | 83667 | 613 | 5.000 | 16733.4 |
773 | 2025-05-29 05:43:56 | tight | 3 | 83667 | 613 | 19.830 | 4219.2 |
772 | 2025-05-29 00:22:06 | tight | 1 | 28756 | 13 | 2.280 | 12612.3 |
771 | 2025-05-27 12:33:18 | tight | 3 | 83667 | 613 | 21.783 | 3840.9 |
770 | 2025-05-25 16:01:50 | tight | 1 | 28756 | 13 | 2.330 | 12341.6 |
769 | 2025-05-18 13:04:57 | tight | 3 | 83667 | 613 | 17.173 | 4872.0 |
768 | 2025-05-16 19:26:44 | tight | 3 | 83667 | 613 | 4.936 | 16950.4 |
767 | 2025-05-14 14:22:36 | tight | 2 | 53800 | 72 | 6.893 | 7805.0 |
766 | 2025-05-13 12:57:42 | tight | 3 | 83667 | 613 | 26.813 | 3120.4 |
765 | 2025-05-12 19:48:01 | tight | 1 | 28756 | 13 | 0.513 | 56054.6 |
764 | 2025-05-11 17:28:50 | tight | 1 | 28756 | 13 | 0.436 | 65954.1 |
763 | 2025-05-10 23:37:25 | tight | 1 | 28756 | 13 | 1.470 | 19561.9 |
762 | 2025-05-08 04:11:15 | tight | 3 | 83667 | 613 | 21.530 | 3886.1 |
761 | 2025-05-05 20:09:03 | tight | 3 | 83667 | 613 | 15.813 | 5291.0 |
760 | 2025-05-03 22:00:57 | tight | 3 | 83667 | 613 | 23.750 | 3522.8 |
759 | 2025-05-03 08:15:34 | tight | 1 | 28756 | 13 | 2.623 | 10963.0 |
758 | 2025-05-03 06:19:18 | tight | 2 | 53800 | 72 | 6.373 | 8441.9 |
757 | 2025-05-02 22:29:34 | tight | 3 | 83667 | 613 | 19.593 | 4270.2 |
756 | 2025-05-02 21:28:35 | tight | 3 | 83667 | 613 | 9.970 | 8391.9 |
755 | 2025-04-30 21:32:39 | tight | 1 | 28756 | 13 | 1.986 | 14479.4 |
754 | 2025-04-29 19:39:56 | tight | 1 | 28756 | 13 | 0.950 | 30269.5 |
753 | 2025-04-18 16:51:28 | tight | 2 | 53800 | 72 | 3.640 | 14780.2 |
752 | 2025-04-11 20:03:10 | tight | 1 | 28756 | 13 | 1.733 | 16593.2 |
751 | 2025-04-10 23:09:54 | tight | 1 | 28756 | 13 | 2.096 | 13719.5 |
750 | 2025-04-01 22:30:58 | tight | 3 | 83667 | 613 | 19.513 | 4287.8 |
749 | 2025-04-01 20:11:07 | tight | 3 | 83667 | 613 | 18.860 | 4436.2 |
748 | 2025-03-31 15:28:06 | tight | 3 | 83667 | 613 | 20.130 | 4156.3 |
747 | 2025-03-30 23:20:43 | tight | 1 | 28756 | 13 | 3.623 | 7937.1 |
746 | 2025-03-29 20:48:26 | tight | 1 | 28756 | 13 | 1.186 | 24246.2 |
745 | 2025-03-29 19:54:04 | tight | 1 | 28756 | 13 | 3.360 | 8558.3 |
744 | 2025-03-26 00:27:22 | tight | 3 | 83667 | 613 | 14.363 | 5825.2 |
743 | 2025-03-23 14:29:41 | tight | 3 | 83667 | 613 | 13.300 | 6290.8 |
742 | 2025-03-18 07:42:12 | tight | 1 | 28756 | 13 | 2.310 | 12448.5 |
741 | 2025-03-10 11:33:25 | tight | 3 | 83667 | 613 | 29.956 | 2793.0 |
740 | 2025-03-10 03:25:19 | tight | 1 | 28756 | 13 | 0.846 | 33990.5 |
739 | 2025-03-01 03:56:07 | tight | 3 | 83667 | 613 | 17.076 | 4899.7 |
738 | 2025-02-27 20:18:11 | tight | 2 | 53800 | 72 | 6.673 | 8062.3 |
737 | 2025-02-27 16:39:38 | tight | 1 | 28756 | 13 | 1.280 | 22465.6 |
736 | 2025-02-27 12:39:42 | tight | 3 | 83667 | 613 | 18.410 | 4544.6 |
735 | 2025-02-27 12:37:57 | tight | 2 | 53800 | 72 | 8.546 | 6295.3 |
734 | 2025-02-27 12:33:07 | tight | 1 | 28756 | 13 | 3.610 | 7965.7 |
733 | 2025-02-27 09:36:43 | tight | 3 | 83667 | 613 | 14.296 | 5852.5 |
732 | 2025-02-27 09:15:38 | tight | 3 | 83667 | 613 | 19.156 | 4367.7 |
731 | 2025-02-27 09:15:35 | tight | 2 | 53800 | 72 | 7.546 | 7129.6 |
730 | 2025-02-27 09:02:50 | tight | 1 | 28756 | 13 | 0.500 | 57512.0 |
729 | 2025-02-10 22:00:10 | tight | 1 | 28756 | 13 | 2.826 | 10175.5 |
728 | 2025-02-07 12:16:47 | tight | 1 | 28756 | 13 | 1.626 | 17685.1 |
727 | 2025-01-28 18:49:50 | tight | 2 | 53800 | 72 | 6.500 | 8276.9 |
726 | 2025-01-28 18:43:46 | tight | 3 | 83667 | 613 | 28.686 | 2916.6 |
725 | 2025-01-28 06:55:25 | tight | 2 | 53800 | 72 | 8.160 | 6593.1 |
724 | 2025-01-28 05:52:05 | tight | 3 | 83667 | 613 | 15.123 | 5532.4 |
723 | 2025-01-28 05:45:11 | tight | 1 | 28756 | 13 | 1.360 | 21144.1 |
722 | 2025-01-28 04:05:02 | tight | 2 | 53800 | 72 | 9.780 | 5501.0 |
721 | 2025-01-28 03:57:59 | tight | 3 | 83667 | 613 | 6.716 | 12457.9 |