History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"harshness"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
831 | 2025-09-02 11:15:26 | harshness | 4 | 165329 | 751 | 11.326 | 14597.3 |
830 | 2025-08-31 14:05:31 | harshness | 4 | 165329 | 751 | 13.203 | 12522.1 |
829 | 2025-08-29 13:14:12 | harshness | 4 | 165329 | 751 | 10.940 | 15112.3 |
828 | 2025-08-17 10:22:01 | harshness | 4 | 165329 | 751 | 53.033 | 3117.5 |
827 | 2025-08-17 10:20:08 | harshness | 4 | 165329 | 751 | 32.080 | 5153.6 |
826 | 2025-08-17 07:54:16 | harshness | 4 | 165329 | 751 | 36.143 | 4574.3 |
825 | 2025-08-15 15:52:22 | harshness | 2 | 121436 | 14 | 10.656 | 11396.0 |
824 | 2025-08-15 11:39:35 | harshness | 3 | 148641 | 96 | 17.480 | 8503.5 |
823 | 2025-08-15 07:02:51 | harshness | 4 | 165329 | 751 | 56.550 | 2923.6 |
822 | 2025-08-14 08:23:04 | harshness | 1 | 81242 | 1 | 1.436 | 56575.2 |
821 | 2025-08-14 06:02:53 | harshness | 1 | 81242 | 1 | 3.016 | 26937.0 |
820 | 2025-08-12 00:42:03 | harshness | 4 | 165329 | 751 | 29.576 | 5590.0 |
819 | 2025-08-11 15:16:05 | harshness | 1 | 81242 | 1 | 6.750 | 12035.9 |
818 | 2025-08-10 21:25:30 | harshness | 4 | 165329 | 751 | 62.550 | 2643.1 |
817 | 2025-08-09 02:24:02 | harshness | 1 | 81242 | 1 | 9.296 | 8739.5 |
816 | 2025-07-28 05:20:45 | harshness | 1 | 81242 | 1 | 6.393 | 12708.0 |
815 | 2025-07-24 13:28:21 | harshness | 1 | 81242 | 1 | 6.233 | 13034.2 |
814 | 2025-07-22 12:43:47 | harshness | 1 | 81242 | 1 | 6.986 | 11629.3 |
813 | 2025-07-22 07:39:10 | harshness | 1 | 81242 | 1 | 3.313 | 24522.2 |
812 | 2025-07-19 21:53:59 | harshness | 3 | 148641 | 96 | 6.936 | 21430.4 |
811 | 2025-07-15 19:31:07 | harshness | 1 | 81242 | 1 | 3.000 | 27080.7 |
810 | 2025-07-13 11:02:40 | harshness | 1 | 81242 | 1 | 1.700 | 47789.4 |
809 | 2025-07-13 10:25:58 | harshness | 1 | 81242 | 1 | 2.360 | 34424.6 |
808 | 2025-07-13 06:32:02 | harshness | 3 | 148641 | 96 | 7.170 | 20731.0 |
807 | 2025-07-09 12:27:49 | harshness | 2 | 121436 | 14 | 3.173 | 38271.7 |
806 | 2025-07-08 18:13:55 | harshness | 2 | 121436 | 14 | 14.156 | 8578.4 |
805 | 2025-07-08 06:57:23 | harshness | 3 | 148641 | 96 | 35.470 | 4190.6 |
804 | 2025-07-06 14:18:05 | harshness | 1 | 81242 | 1 | 1.360 | 59736.8 |
803 | 2025-07-05 20:12:36 | harshness | 3 | 148641 | 96 | 9.016 | 16486.4 |
802 | 2025-07-04 02:05:39 | harshness | 3 | 148641 | 96 | 37.406 | 3973.7 |
801 | 2025-07-03 06:39:50 | harshness | 3 | 148641 | 96 | 6.626 | 22433.0 |
800 | 2025-07-02 14:34:20 | harshness | 3 | 148641 | 96 | 36.800 | 4039.2 |
799 | 2025-07-02 01:45:39 | harshness | 2 | 121436 | 14 | 18.596 | 6530.2 |
798 | 2025-06-28 04:59:08 | harshness | 1 | 81242 | 1 | 9.860 | 8239.6 |
797 | 2025-06-26 16:53:31 | harshness | 1 | 81242 | 1 | 6.486 | 12525.7 |
796 | 2025-06-20 09:39:32 | harshness | 1 | 81242 | 1 | 6.610 | 12290.8 |
795 | 2025-06-17 04:08:30 | harshness | 3 | 148641 | 96 | 28.596 | 5198.0 |
794 | 2025-06-17 02:58:52 | harshness | 3 | 148641 | 96 | 19.453 | 7641.0 |
793 | 2025-06-15 15:15:01 | harshness | 1 | 81242 | 1 | 1.393 | 58321.6 |
792 | 2025-06-14 22:36:40 | harshness | 3 | 148641 | 96 | 38.100 | 3901.3 |
791 | 2025-06-14 03:38:51 | harshness | 1 | 81242 | 1 | 3.830 | 21212.0 |
790 | 2025-06-13 23:08:50 | harshness | 3 | 148641 | 96 | 24.953 | 5956.8 |
789 | 2025-06-12 18:41:35 | harshness | 1 | 81242 | 1 | 1.390 | 58447.5 |
788 | 2025-06-11 04:32:36 | harshness | 4 | 165329 | 751 | 95.973 | 1722.7 |
787 | 2025-06-10 21:47:55 | harshness | 2 | 121436 | 14 | 3.220 | 37713.0 |
786 | 2025-06-10 10:14:03 | harshness | 1 | 81242 | 1 | 3.920 | 20725.0 |
785 | 2025-05-29 09:47:08 | harshness | 1 | 81242 | 1 | 4.406 | 18438.9 |
784 | 2025-05-28 22:30:49 | harshness | 2 | 121436 | 14 | 19.530 | 6217.9 |
783 | 2025-05-28 10:11:21 | harshness | 4 | 165329 | 751 | 32.160 | 5140.8 |
782 | 2025-05-27 00:04:11 | harshness | 4 | 165329 | 751 | 61.190 | 2701.9 |
781 | 2025-05-26 17:47:53 | harshness | 1 | 81242 | 1 | 5.296 | 15340.3 |
780 | 2025-05-22 06:08:06 | harshness | 4 | 165329 | 751 | 66.926 | 2470.3 |
779 | 2025-05-22 03:12:22 | harshness | 4 | 165329 | 751 | 57.750 | 2862.8 |
778 | 2025-05-21 05:37:53 | harshness | 4 | 165329 | 751 | 32.360 | 5109.1 |
777 | 2025-05-20 07:10:17 | harshness | 1 | 81242 | 1 | 3.846 | 21123.8 |
776 | 2025-05-19 12:51:20 | harshness | 4 | 165329 | 751 | 19.436 | 8506.3 |
775 | 2025-05-19 03:28:40 | harshness | 1 | 81242 | 1 | 2.953 | 27511.7 |
774 | 2025-05-18 23:20:07 | harshness | 2 | 121436 | 14 | 4.623 | 26267.8 |
773 | 2025-05-18 23:13:43 | harshness | 3 | 148641 | 96 | 7.313 | 20325.6 |
772 | 2025-05-18 05:27:53 | harshness | 1 | 81242 | 1 | 4.923 | 16502.5 |
771 | 2025-05-15 15:19:38 | harshness | 2 | 121436 | 14 | 3.703 | 32794.0 |
770 | 2025-05-13 11:00:51 | harshness | 3 | 148641 | 96 | 6.390 | 23261.5 |
769 | 2025-05-10 19:06:02 | harshness | 1 | 81242 | 1 | 10.920 | 7439.7 |
768 | 2025-05-09 11:41:57 | harshness | 3 | 148641 | 96 | 7.580 | 19609.6 |
767 | 2025-05-06 02:59:09 | harshness | 1 | 81242 | 1 | 7.450 | 10905.0 |
766 | 2025-05-03 20:49:40 | harshness | 2 | 121436 | 14 | 23.863 | 5088.9 |
765 | 2025-05-03 04:06:04 | harshness | 3 | 148641 | 96 | 48.393 | 3071.5 |
764 | 2025-05-02 18:30:39 | harshness | 1 | 81242 | 1 | 1.376 | 59042.2 |
763 | 2025-05-02 07:17:07 | harshness | 3 | 148641 | 96 | 34.566 | 4300.2 |
762 | 2025-05-02 06:55:08 | harshness | 2 | 121436 | 14 | 12.156 | 9989.8 |
761 | 2025-05-01 01:56:24 | harshness | 3 | 148641 | 96 | 49.720 | 2989.6 |
760 | 2025-04-20 09:47:28 | harshness | 1 | 81242 | 1 | 1.313 | 61875.1 |
759 | 2025-04-20 06:17:47 | harshness | 1 | 81242 | 1 | 8.186 | 9924.5 |
758 | 2025-04-16 09:23:32 | harshness | 2 | 121436 | 14 | 29.110 | 4171.6 |
757 | 2025-04-13 14:21:22 | harshness | 2 | 121436 | 14 | 3.330 | 36467.3 |
756 | 2025-04-12 09:16:02 | harshness | 4 | 165329 | 751 | 61.910 | 2670.5 |
755 | 2025-04-10 17:32:49 | harshness | 4 | 165329 | 751 | 12.580 | 13142.2 |
754 | 2025-04-10 11:31:26 | harshness | 3 | 148641 | 96 | 7.606 | 19542.6 |
753 | 2025-04-10 04:13:06 | harshness | 3 | 148641 | 96 | 7.483 | 19863.8 |
752 | 2025-04-06 10:21:11 | harshness | 1 | 81242 | 1 | 6.643 | 12229.7 |
751 | 2025-04-06 00:22:27 | harshness | 3 | 148641 | 96 | 36.846 | 4034.1 |
750 | 2025-04-04 09:49:15 | harshness | 3 | 148641 | 96 | 34.080 | 4361.5 |
749 | 2025-04-03 06:15:00 | harshness | 4 | 165329 | 751 | 55.923 | 2956.4 |
748 | 2025-04-01 02:33:08 | harshness | 4 | 165329 | 751 | 13.690 | 12076.6 |
747 | 2025-03-31 02:43:07 | harshness | 4 | 165329 | 751 | 59.613 | 2773.4 |
746 | 2025-03-30 02:06:16 | harshness | 4 | 165329 | 751 | 11.766 | 14051.4 |
745 | 2025-03-30 00:36:01 | harshness | 3 | 148641 | 96 | 6.453 | 23034.4 |
744 | 2025-03-28 14:50:51 | harshness | 1 | 81242 | 1 | 1.390 | 58447.5 |
743 | 2025-03-24 01:00:02 | harshness | 1 | 81242 | 1 | 6.283 | 12930.4 |
742 | 2025-03-20 12:15:41 | harshness | 1 | 81242 | 1 | 3.156 | 25742.1 |
741 | 2025-03-20 08:17:12 | harshness | 1 | 81242 | 1 | 9.953 | 8162.6 |
740 | 2025-03-06 22:25:41 | harshness | 1 | 81242 | 1 | 6.516 | 12468.1 |
739 | 2025-03-05 18:03:51 | harshness | 1 | 81242 | 1 | 8.246 | 9852.3 |
738 | 2025-02-10 15:01:05 | harshness | 1 | 81242 | 1 | 5.673 | 14320.8 |
737 | 2025-02-01 12:03:35 | harshness | 1 | 81242 | 1 | 1.453 | 55913.3 |
736 | 2025-01-29 19:44:21 | harshness | 1 | 81242 | 1 | 8.610 | 9435.8 |
735 | 2025-01-21 01:09:55 | harshness | 1 | 81242 | 1 | 3.250 | 24997.5 |
734 | 2024-12-26 07:30:57 | harshness | 1 | 81242 | 1 | 5.983 | 13578.8 |
733 | 2024-12-26 03:19:38 | harshness | 3 | 148641 | 96 | 47.503 | 3129.1 |
732 | 2024-12-19 22:42:45 | harshness | 1 | 81242 | 1 | 6.736 | 12060.9 |