History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"meanest"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
848 | 2025-04-20 21:45:42 | meanest | 1 | 69583 | 2 | 5.953 | 11688.7 |
847 | 2025-04-19 21:21:14 | meanest | 1 | 69583 | 2 | 3.280 | 21214.3 |
846 | 2025-04-16 14:26:42 | meanest | 1 | 69583 | 2 | 4.623 | 15051.5 |
845 | 2025-04-07 23:36:59 | meanest | 1 | 69583 | 2 | 2.250 | 30925.8 |
844 | 2025-04-04 21:40:34 | meanest | 3 | 134027 | 410 | 26.346 | 5087.2 |
843 | 2025-04-04 09:56:51 | meanest | 3 | 134027 | 410 | 21.240 | 6310.1 |
842 | 2025-04-02 14:53:25 | meanest | 3 | 134027 | 410 | 37.333 | 3590.0 |
841 | 2025-04-01 16:02:34 | meanest | 2 | 107671 | 31 | 3.393 | 31733.3 |
840 | 2025-03-27 10:21:55 | meanest | 1 | 69583 | 2 | 6.093 | 11420.2 |
839 | 2025-03-27 04:02:31 | meanest | 1 | 69583 | 2 | 6.173 | 11272.2 |
838 | 2025-03-23 08:48:38 | meanest | 1 | 69583 | 2 | 7.050 | 9869.9 |
837 | 2025-03-22 11:08:52 | meanest | 2 | 107671 | 31 | 17.550 | 6135.1 |
836 | 2025-03-20 21:51:22 | meanest | 1 | 69583 | 2 | 6.060 | 11482.3 |
835 | 2025-03-19 23:40:11 | meanest | 1 | 69583 | 2 | 5.436 | 12800.4 |
834 | 2025-03-17 01:52:25 | meanest | 1 | 69583 | 2 | 5.326 | 13064.8 |
833 | 2025-03-10 08:05:01 | meanest | 1 | 69583 | 2 | 5.316 | 13089.4 |
832 | 2025-03-07 14:52:31 | meanest | 1 | 69583 | 2 | 5.936 | 11722.2 |
831 | 2025-03-05 11:09:38 | meanest | 3 | 134027 | 410 | 7.500 | 17870.3 |
830 | 2025-02-24 10:22:25 | meanest | 3 | 134027 | 410 | 21.906 | 6118.3 |
829 | 2025-02-24 04:03:38 | meanest | 3 | 134027 | 410 | 33.163 | 4041.5 |
828 | 2025-02-22 08:40:12 | meanest | 3 | 134027 | 410 | 54.643 | 2452.8 |
827 | 2025-02-21 00:52:03 | meanest | 3 | 134027 | 410 | 41.830 | 3204.1 |
826 | 2025-02-21 00:52:01 | meanest | 2 | 107671 | 31 | 15.126 | 7118.3 |
825 | 2025-02-21 00:45:27 | meanest | 1 | 69583 | 2 | 6.623 | 10506.3 |
824 | 2025-02-17 04:09:00 | meanest | 1 | 69583 | 2 | 5.876 | 11841.9 |
823 | 2025-02-11 03:52:50 | meanest | 1 | 69583 | 2 | 6.013 | 11572.1 |
822 | 2025-02-07 20:43:50 | meanest | 1 | 69583 | 2 | 5.063 | 13743.4 |
821 | 2025-02-07 20:29:19 | meanest | 1 | 69583 | 2 | 2.190 | 31773.1 |
820 | 2025-02-04 11:06:37 | meanest | 1 | 69583 | 2 | 4.076 | 17071.4 |
819 | 2025-01-13 09:51:36 | meanest | 1 | 69583 | 2 | 4.330 | 16070.0 |
818 | 2025-01-08 22:47:04 | meanest | 1 | 69583 | 2 | 3.720 | 18705.1 |
817 | 2024-12-12 14:09:22 | meanest | 3 | 134027 | 410 | 34.503 | 3884.5 |
816 | 2024-12-11 08:38:23 | meanest | 3 | 134027 | 410 | 33.706 | 3976.4 |
815 | 2024-12-11 04:56:38 | meanest | 3 | 134027 | 410 | 29.753 | 4504.7 |
814 | 2024-12-11 03:14:40 | meanest | 3 | 134027 | 410 | 34.720 | 3860.2 |
813 | 2024-12-11 03:06:29 | meanest | 3 | 134027 | 410 | 28.330 | 4730.9 |
812 | 2024-12-09 16:17:58 | meanest | 1 | 69583 | 2 | 6.143 | 11327.2 |
811 | 2024-12-08 15:27:06 | meanest | 1 | 69583 | 2 | 6.703 | 10380.9 |
810 | 2024-11-30 07:44:46 | meanest | 1 | 69583 | 2 | 6.126 | 11358.6 |
809 | 2024-11-18 01:01:29 | meanest | 3 | 134027 | 410 | 37.173 | 3605.5 |
808 | 2024-11-09 07:36:28 | meanest | 1 | 69583 | 2 | 3.080 | 22591.9 |
807 | 2024-11-08 07:19:56 | meanest | 2 | 107671 | 31 | 15.330 | 7023.5 |
806 | 2024-11-07 23:24:48 | meanest | 3 | 134027 | 410 | 34.656 | 3867.4 |
805 | 2024-11-07 17:52:51 | meanest | 2 | 107671 | 31 | 3.220 | 33438.2 |
804 | 2024-11-07 17:52:10 | meanest | 3 | 134027 | 410 | 9.233 | 14516.1 |
803 | 2024-11-07 17:14:52 | meanest | 2 | 107671 | 31 | 20.436 | 5268.7 |
802 | 2024-11-07 17:14:40 | meanest | 3 | 134027 | 410 | 28.640 | 4679.7 |
801 | 2024-11-07 17:14:11 | meanest | 1 | 69583 | 2 | 4.203 | 16555.6 |
800 | 2024-10-29 21:25:29 | meanest | 1 | 69583 | 2 | 3.266 | 21305.3 |
799 | 2024-10-28 12:36:39 | meanest | 1 | 69583 | 2 | 3.906 | 17814.4 |
798 | 2024-10-07 20:08:08 | meanest | 1 | 69583 | 2 | 8.470 | 8215.2 |
797 | 2024-09-29 00:06:09 | meanest | 1 | 69583 | 2 | 5.156 | 13495.5 |
796 | 2024-09-22 18:38:54 | meanest | 2 | 107671 | 31 | 12.703 | 8476.0 |
795 | 2024-09-22 09:36:39 | meanest | 2 | 107671 | 31 | 26.126 | 4121.2 |
794 | 2024-09-06 03:18:23 | meanest | 1 | 69583 | 2 | 13.093 | 5314.5 |
793 | 2024-09-04 11:57:37 | meanest | 1 | 69583 | 2 | 7.610 | 9143.6 |
792 | 2024-08-27 22:11:31 | meanest | 1 | 69583 | 2 | 12.220 | 5694.2 |
791 | 2024-08-24 19:47:51 | meanest | 1 | 69583 | 2 | 9.733 | 7149.2 |
790 | 2024-08-21 11:56:00 | meanest | 1 | 69583 | 2 | 13.233 | 5258.3 |
789 | 2024-08-13 15:10:10 | meanest | 1 | 69583 | 2 | 8.390 | 8293.6 |
788 | 2024-08-11 03:09:10 | meanest | 1 | 69583 | 2 | 3.016 | 23071.3 |
787 | 2024-07-26 20:14:27 | meanest | 1 | 69583 | 2 | 4.690 | 14836.5 |
786 | 2024-07-20 11:58:02 | meanest | 1 | 69583 | 2 | 2.596 | 26803.9 |
785 | 2024-07-16 08:39:00 | meanest | 1 | 69583 | 2 | 4.563 | 15249.4 |
784 | 2024-07-02 23:14:25 | meanest | 1 | 69583 | 2 | 2.296 | 30306.2 |
783 | 2024-06-30 11:23:59 | meanest | 1 | 69583 | 2 | 7.563 | 9200.4 |
782 | 2024-06-24 16:38:54 | meanest | 1 | 69583 | 2 | 5.203 | 13373.6 |
781 | 2024-06-23 05:04:46 | meanest | 1 | 69583 | 2 | 6.450 | 10788.1 |
780 | 2024-06-19 23:19:52 | meanest | 1 | 69583 | 2 | 4.453 | 15626.1 |
779 | 2024-05-30 01:35:28 | meanest | 1 | 69583 | 2 | 5.373 | 12950.5 |
778 | 2024-05-18 03:59:37 | meanest | 3 | 134027 | 410 | 8.563 | 15651.9 |
777 | 2024-05-16 14:46:58 | meanest | 2 | 107671 | 31 | 3.563 | 30219.2 |
776 | 2024-05-16 14:34:08 | meanest | 3 | 134027 | 410 | 7.313 | 18327.2 |
775 | 2024-05-16 04:40:50 | meanest | 3 | 134027 | 410 | 10.283 | 13033.8 |
774 | 2024-05-15 13:11:10 | meanest | 2 | 107671 | 31 | 3.733 | 28843.0 |
773 | 2024-05-15 13:10:43 | meanest | 3 | 134027 | 410 | 8.936 | 14998.5 |
772 | 2024-05-15 11:49:46 | meanest | 2 | 107671 | 31 | 3.656 | 29450.5 |
771 | 2024-05-15 11:49:25 | meanest | 3 | 134027 | 410 | 7.593 | 17651.4 |
770 | 2024-05-15 07:05:14 | meanest | 3 | 134027 | 410 | 11.516 | 11638.3 |
769 | 2024-05-09 07:31:15 | meanest | 1 | 69583 | 2 | 2.970 | 23428.6 |
768 | 2024-05-07 23:35:31 | meanest | 1 | 69583 | 2 | 2.810 | 24762.6 |
767 | 2024-05-06 13:04:57 | meanest | 1 | 69583 | 2 | 1.296 | 53690.6 |
766 | 2024-05-05 06:57:32 | meanest | 1 | 69583 | 2 | 1.266 | 54962.9 |
765 | 2024-04-26 15:15:35 | meanest | 1 | 69583 | 2 | 1.283 | 54234.6 |
764 | 2024-04-13 02:22:40 | meanest | 2 | 107671 | 31 | 3.580 | 30075.7 |
763 | 2024-04-12 19:43:53 | meanest | 3 | 134027 | 410 | 7.780 | 17227.1 |
762 | 2024-04-11 07:03:33 | meanest | 2 | 107671 | 31 | 3.470 | 31029.1 |
761 | 2024-04-11 07:03:08 | meanest | 3 | 134027 | 410 | 6.733 | 19906.0 |
760 | 2024-04-08 22:14:53 | meanest | 3 | 134027 | 410 | 20.080 | 6674.7 |
759 | 2024-04-08 09:35:12 | meanest | 3 | 134027 | 410 | 20.253 | 6617.6 |
758 | 2024-04-08 08:01:31 | meanest | 3 | 134027 | 410 | 8.923 | 15020.4 |
757 | 2024-03-30 06:36:39 | meanest | 1 | 69583 | 2 | 1.373 | 50679.5 |
756 | 2024-03-03 16:27:15 | meanest | 1 | 69583 | 2 | 1.140 | 61037.7 |
755 | 2024-01-18 02:11:40 | meanest | 1 | 69583 | 2 | 1.093 | 63662.4 |
754 | 2024-01-06 06:48:06 | meanest | 3 | 134027 | 410 | 6.003 | 22326.7 |
753 | 2024-01-02 05:00:15 | meanest | 3 | 134027 | 410 | 7.126 | 18808.2 |
752 | 2023-12-04 13:37:18 | meanest | 1 | 69583 | 2 | 1.190 | 58473.1 |
751 | 2023-11-28 16:53:39 | meanest | 2 | 107671 | 31 | 3.140 | 34290.1 |
750 | 2023-11-24 06:54:12 | meanest | 1 | 69583 | 2 | 2.626 | 26497.7 |
749 | 2023-11-21 19:31:56 | meanest | 1 | 69583 | 2 | 1.203 | 57841.2 |