History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"coarsened"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
824 | 2025-07-16 22:31:50 | coarsened | 1 | 81242 | 2 | 5.796 | 14016.9 |
823 | 2025-07-14 15:38:32 | coarsened | 1 | 81242 | 2 | 10.360 | 7841.9 |
822 | 2025-07-12 12:38:41 | coarsened | 1 | 81242 | 2 | 1.483 | 54782.2 |
821 | 2025-07-07 13:18:53 | coarsened | 1 | 81242 | 2 | 5.000 | 16248.4 |
820 | 2025-07-01 16:48:15 | coarsened | 2 | 121436 | 8 | 3.813 | 31847.9 |
819 | 2025-06-22 19:59:34 | coarsened | 1 | 81242 | 2 | 1.406 | 57782.4 |
818 | 2025-06-15 13:30:27 | coarsened | 3 | 148641 | 61 | 34.643 | 4290.7 |
817 | 2025-06-14 21:15:03 | coarsened | 3 | 148641 | 61 | 45.063 | 3298.5 |
816 | 2025-06-13 15:12:05 | coarsened | 1 | 81242 | 2 | 1.500 | 54161.3 |
815 | 2025-06-13 14:38:33 | coarsened | 1 | 81242 | 2 | 1.470 | 55266.7 |
814 | 2025-06-13 05:24:23 | coarsened | 3 | 148641 | 61 | 39.443 | 3768.5 |
813 | 2025-06-10 17:37:45 | coarsened | 3 | 148641 | 61 | 43.313 | 3431.8 |
812 | 2025-06-09 14:53:41 | coarsened | 1 | 81242 | 2 | 1.423 | 57092.1 |
811 | 2025-06-04 18:43:23 | coarsened | 4 | 165329 | 580 | 80.023 | 2066.0 |
810 | 2025-06-02 19:07:18 | coarsened | 4 | 165329 | 580 | 12.563 | 13160.0 |
809 | 2025-06-01 10:37:41 | coarsened | 1 | 81242 | 2 | 5.490 | 14798.2 |
808 | 2025-05-28 23:49:04 | coarsened | 4 | 165329 | 580 | 66.973 | 2468.6 |
807 | 2025-05-27 23:32:59 | coarsened | 1 | 81242 | 2 | 1.373 | 59171.2 |
806 | 2025-05-26 06:42:24 | coarsened | 4 | 165329 | 580 | 66.160 | 2498.9 |
805 | 2025-05-22 13:46:33 | coarsened | 1 | 81242 | 2 | 3.453 | 23527.9 |
804 | 2025-05-14 18:45:43 | coarsened | 3 | 148641 | 61 | 7.533 | 19732.0 |
803 | 2025-05-13 17:18:12 | coarsened | 4 | 165329 | 580 | 26.283 | 6290.3 |
802 | 2025-05-12 00:43:51 | coarsened | 2 | 121436 | 8 | 16.173 | 7508.6 |
801 | 2025-05-11 13:54:30 | coarsened | 4 | 165329 | 580 | 73.946 | 2235.8 |
800 | 2025-05-11 12:45:05 | coarsened | 4 | 165329 | 580 | 46.253 | 3574.4 |
799 | 2025-05-10 11:29:22 | coarsened | 1 | 81242 | 2 | 1.483 | 54782.2 |
798 | 2025-05-10 09:12:45 | coarsened | 2 | 121436 | 8 | 20.480 | 5929.5 |
797 | 2025-05-09 20:20:16 | coarsened | 4 | 165329 | 580 | 54.066 | 3057.9 |
796 | 2025-05-07 16:00:04 | coarsened | 4 | 165329 | 580 | 39.030 | 4235.9 |
795 | 2025-05-04 17:30:33 | coarsened | 4 | 165329 | 580 | 59.970 | 2756.9 |
794 | 2025-05-02 17:07:15 | coarsened | 1 | 81242 | 2 | 4.860 | 16716.5 |
793 | 2025-05-01 10:04:16 | coarsened | 1 | 81242 | 2 | 1.610 | 50460.9 |
792 | 2025-04-28 11:14:02 | coarsened | 1 | 81242 | 2 | 6.940 | 11706.3 |
791 | 2025-04-20 12:47:36 | coarsened | 1 | 81242 | 2 | 6.750 | 12035.9 |
790 | 2025-04-17 09:06:26 | coarsened | 3 | 148641 | 61 | 15.436 | 9629.5 |
789 | 2025-04-16 17:12:20 | coarsened | 3 | 148641 | 61 | 53.813 | 2762.2 |
788 | 2025-04-16 16:31:39 | coarsened | 3 | 148641 | 61 | 56.283 | 2641.0 |
787 | 2025-04-16 15:58:24 | coarsened | 1 | 81242 | 2 | 8.453 | 9611.0 |
786 | 2025-04-12 20:34:21 | coarsened | 3 | 148641 | 61 | 6.813 | 21817.3 |
785 | 2025-04-10 13:59:07 | coarsened | 4 | 165329 | 580 | 11.486 | 14394.0 |
784 | 2025-04-10 08:09:23 | coarsened | 2 | 121436 | 8 | 3.670 | 33088.8 |
783 | 2025-04-09 23:03:13 | coarsened | 4 | 165329 | 580 | 15.046 | 10988.2 |
782 | 2025-04-08 20:40:51 | coarsened | 4 | 165329 | 580 | 67.973 | 2432.3 |
781 | 2025-04-08 00:01:33 | coarsened | 2 | 121436 | 8 | 10.906 | 11134.8 |
780 | 2025-04-07 23:25:08 | coarsened | 4 | 165329 | 580 | 50.813 | 3253.7 |
779 | 2025-04-06 14:45:21 | coarsened | 1 | 81242 | 2 | 8.546 | 9506.4 |
778 | 2025-04-05 07:29:18 | coarsened | 3 | 148641 | 61 | 10.843 | 13708.5 |
777 | 2025-04-05 01:45:24 | coarsened | 3 | 148641 | 61 | 7.220 | 20587.4 |
776 | 2025-04-04 23:46:57 | coarsened | 3 | 148641 | 61 | 7.766 | 19140.0 |
775 | 2025-03-31 17:19:51 | coarsened | 1 | 81242 | 2 | 8.360 | 9717.9 |
774 | 2025-03-20 15:19:16 | coarsened | 1 | 81242 | 2 | 8.470 | 9591.7 |
773 | 2025-03-17 20:59:18 | coarsened | 3 | 148641 | 61 | 35.703 | 4163.3 |
772 | 2025-03-17 08:25:14 | coarsened | 1 | 81242 | 2 | 9.096 | 8931.6 |
771 | 2025-03-12 09:07:56 | coarsened | 3 | 148641 | 61 | 35.580 | 4177.7 |
770 | 2025-03-10 12:13:37 | coarsened | 3 | 148641 | 61 | 38.736 | 3837.3 |
769 | 2025-03-09 19:01:46 | coarsened | 3 | 148641 | 61 | 37.953 | 3916.4 |
768 | 2025-03-08 07:54:59 | coarsened | 3 | 148641 | 61 | 46.360 | 3206.2 |
767 | 2025-03-08 07:54:59 | coarsened | 2 | 121436 | 8 | 17.453 | 6957.9 |
766 | 2025-03-08 07:45:07 | coarsened | 1 | 81242 | 2 | 1.296 | 62686.7 |
765 | 2025-03-07 21:06:08 | coarsened | 3 | 148641 | 61 | 44.926 | 3308.6 |
764 | 2025-03-05 00:33:29 | coarsened | 3 | 148641 | 61 | 50.266 | 2957.1 |
763 | 2025-03-01 11:48:36 | coarsened | 3 | 148641 | 61 | 38.160 | 3895.2 |
762 | 2025-02-28 20:04:19 | coarsened | 3 | 148641 | 61 | 48.406 | 3070.7 |
761 | 2025-02-28 20:04:19 | coarsened | 2 | 121436 | 8 | 17.203 | 7059.0 |
760 | 2025-02-28 19:58:32 | coarsened | 1 | 81242 | 2 | 5.126 | 15849.0 |
759 | 2025-02-19 10:33:27 | coarsened | 1 | 81242 | 2 | 1.500 | 54161.3 |
758 | 2025-02-08 04:32:22 | coarsened | 3 | 148641 | 61 | 37.143 | 4001.9 |
757 | 2025-01-29 15:40:50 | coarsened | 2 | 121436 | 8 | 21.796 | 5571.5 |
756 | 2025-01-28 13:21:43 | coarsened | 1 | 81242 | 2 | 6.250 | 12998.7 |
755 | 2025-01-28 04:43:10 | coarsened | 3 | 148641 | 61 | 48.440 | 3068.6 |
754 | 2025-01-28 04:43:12 | coarsened | 2 | 121436 | 8 | 26.906 | 4513.3 |
753 | 2025-01-28 03:22:57 | coarsened | 1 | 81242 | 2 | 1.546 | 52549.8 |
752 | 2025-01-24 15:40:06 | coarsened | 4 | 165329 | 580 | 41.443 | 3989.3 |
751 | 2025-01-21 19:07:26 | coarsened | 4 | 165329 | 580 | 67.093 | 2464.2 |
750 | 2025-01-18 20:26:06 | coarsened | 4 | 165329 | 580 | 67.893 | 2435.1 |
749 | 2025-01-18 14:25:37 | coarsened | 4 | 165329 | 580 | 63.376 | 2608.7 |
748 | 2025-01-12 09:07:53 | coarsened | 4 | 165329 | 580 | 61.236 | 2699.9 |
747 | 2024-12-28 13:13:00 | coarsened | 1 | 81242 | 2 | 1.483 | 54782.2 |
746 | 2024-12-19 11:15:24 | coarsened | 4 | 165329 | 580 | 89.816 | 1840.8 |
745 | 2024-12-19 03:45:13 | coarsened | 4 | 165329 | 580 | 47.456 | 3483.8 |
744 | 2024-12-19 03:45:20 | coarsened | 2 | 121436 | 8 | 23.956 | 5069.1 |
743 | 2024-12-19 03:43:22 | coarsened | 1 | 81242 | 2 | 8.703 | 9334.9 |
742 | 2024-11-27 21:58:32 | coarsened | 1 | 81242 | 2 | 1.456 | 55798.1 |
741 | 2024-11-25 08:57:22 | coarsened | 3 | 148641 | 61 | 7.890 | 18839.2 |
740 | 2024-11-22 02:21:01 | coarsened | 3 | 148641 | 61 | 36.190 | 4107.2 |
739 | 2024-11-20 12:12:41 | coarsened | 3 | 148641 | 61 | 36.253 | 4100.1 |
738 | 2024-11-20 12:12:36 | coarsened | 3 | 148641 | 61 | 25.550 | 5817.7 |
737 | 2024-11-20 12:12:38 | coarsened | 2 | 121436 | 8 | 9.283 | 13081.5 |
736 | 2024-11-20 10:01:13 | coarsened | 1 | 81242 | 2 | 7.486 | 10852.5 |
735 | 2024-11-09 10:41:40 | coarsened | 1 | 81242 | 2 | 8.626 | 9418.3 |
734 | 2024-11-07 10:47:18 | coarsened | 1 | 81242 | 2 | 1.453 | 55913.3 |
733 | 2024-10-28 18:21:39 | coarsened | 1 | 81242 | 2 | 1.283 | 63321.9 |
732 | 2024-10-27 23:13:54 | coarsened | 3 | 148641 | 61 | 36.983 | 4019.2 |
731 | 2024-10-25 20:36:11 | coarsened | 3 | 148641 | 61 | 24.110 | 6165.1 |
730 | 2024-10-20 20:38:42 | coarsened | 2 | 121436 | 8 | 19.076 | 6365.9 |
729 | 2024-10-20 20:35:06 | coarsened | 1 | 81242 | 2 | 2.406 | 33766.4 |
728 | 2024-10-19 09:49:03 | coarsened | 3 | 148641 | 61 | 32.313 | 4600.0 |
727 | 2024-10-16 04:49:46 | coarsened | 2 | 121436 | 8 | 26.203 | 4634.4 |
726 | 2024-10-10 07:08:22 | coarsened | 1 | 81242 | 2 | 3.826 | 21234.2 |
725 | 2024-10-06 03:02:17 | coarsened | 2 | 121436 | 8 | 41.913 | 2897.3 |