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 |
854 | 2025-10-12 17:34:51 | harshness | 1 | 81242 | 1 | 1.423 | 57092.1 |
853 | 2025-10-09 12:32:07 | harshness | 4 | 165329 | 751 | 11.493 | 14385.2 |
852 | 2025-10-08 10:49:04 | harshness | 4 | 165329 | 751 | 10.940 | 15112.3 |
851 | 2025-10-07 05:25:49 | harshness | 4 | 165329 | 751 | 11.720 | 14106.6 |
850 | 2025-10-05 19:06:18 | harshness | 4 | 165329 | 751 | 12.423 | 13308.3 |
849 | 2025-10-04 19:05:25 | harshness | 4 | 165329 | 751 | 10.953 | 15094.4 |
848 | 2025-10-03 19:03:08 | harshness | 4 | 165329 | 751 | 11.500 | 14376.4 |
847 | 2025-09-26 11:13:31 | harshness | 3 | 148641 | 96 | 7.516 | 19776.6 |
846 | 2025-09-25 15:56:38 | harshness | 4 | 165329 | 751 | 10.873 | 15205.5 |
845 | 2025-09-18 22:30:00 | harshness | 4 | 165329 | 751 | 18.106 | 9131.2 |
844 | 2025-09-16 19:17:13 | harshness | 4 | 165329 | 751 | 12.126 | 13634.3 |
843 | 2025-09-15 19:15:00 | harshness | 4 | 165329 | 751 | 11.893 | 13901.4 |
842 | 2025-09-14 23:31:24 | harshness | 1 | 81242 | 1 | 1.420 | 57212.7 |
841 | 2025-09-14 19:14:04 | harshness | 4 | 165329 | 751 | 12.610 | 13110.9 |
840 | 2025-09-13 19:13:49 | harshness | 4 | 165329 | 751 | 13.030 | 12688.3 |
839 | 2025-09-12 19:10:41 | harshness | 4 | 165329 | 751 | 13.876 | 11914.7 |
838 | 2025-09-11 19:18:05 | harshness | 4 | 165329 | 751 | 31.986 | 5168.8 |
837 | 2025-09-10 19:16:09 | harshness | 4 | 165329 | 751 | 22.046 | 7499.3 |
836 | 2025-09-09 19:11:48 | harshness | 4 | 165329 | 751 | 14.033 | 11781.4 |
835 | 2025-09-09 17:05:18 | harshness | 4 | 165329 | 751 | 12.406 | 13326.5 |
834 | 2025-09-08 21:13:52 | harshness | 4 | 165329 | 751 | 12.626 | 13094.3 |
833 | 2025-09-06 17:37:54 | harshness | 4 | 165329 | 751 | 12.080 | 13686.2 |
832 | 2025-09-04 13:48:46 | harshness | 4 | 165329 | 751 | 13.640 | 12120.9 |
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 |