History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"tetra"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
821 | 2025-08-30 23:27:35 | tetra | 1 | 28756 | 5 | 0.453 | 63479.0 |
820 | 2025-08-28 16:53:48 | tetra | 1 | 28756 | 5 | 0.500 | 57512.0 |
819 | 2025-08-27 00:04:44 | tetra | 1 | 28756 | 5 | 0.453 | 63479.0 |
818 | 2025-08-25 03:43:08 | tetra | 1 | 28756 | 5 | 1.360 | 21144.1 |
817 | 2025-08-25 00:09:57 | tetra | 1 | 28756 | 5 | 2.673 | 10757.9 |
816 | 2025-08-24 20:39:57 | tetra | 1 | 28756 | 5 | 2.500 | 11502.4 |
815 | 2025-08-11 21:13:12 | tetra | 1 | 28756 | 5 | 0.766 | 37540.5 |
814 | 2025-08-05 22:52:50 | tetra | 2 | 53800 | 66 | 6.343 | 8481.8 |
813 | 2025-08-04 08:49:42 | tetra | 1 | 28756 | 5 | 0.500 | 57512.0 |
812 | 2025-08-02 18:32:48 | tetra | 1 | 28756 | 5 | 2.610 | 11017.6 |
811 | 2025-08-01 10:13:43 | tetra | 1 | 28756 | 5 | 2.953 | 9737.9 |
810 | 2025-07-29 02:15:57 | tetra | 1 | 28756 | 5 | 2.500 | 11502.4 |
809 | 2025-07-27 15:19:47 | tetra | 1 | 28756 | 5 | 1.470 | 19561.9 |
808 | 2025-07-25 03:34:49 | tetra | 1 | 28756 | 5 | 1.296 | 22188.3 |
807 | 2025-07-24 05:14:00 | tetra | 1 | 28756 | 5 | 1.360 | 21144.1 |
806 | 2025-07-24 04:05:16 | tetra | 1 | 28756 | 5 | 1.483 | 19390.4 |
805 | 2025-07-24 00:35:58 | tetra | 1 | 28756 | 5 | 1.986 | 14479.4 |
804 | 2025-07-23 02:36:00 | tetra | 1 | 28756 | 5 | 1.766 | 16283.1 |
803 | 2025-07-23 01:12:17 | tetra | 1 | 28756 | 5 | 1.170 | 24577.8 |
802 | 2025-07-22 21:25:24 | tetra | 1 | 28756 | 5 | 2.203 | 13053.1 |
801 | 2025-07-22 00:55:06 | tetra | 1 | 28756 | 5 | 0.530 | 54256.6 |
800 | 2025-07-17 01:21:35 | tetra | 3 | 83667 | 966 | 8.703 | 9613.6 |
799 | 2025-07-13 03:23:58 | tetra | 1 | 28756 | 5 | 0.766 | 37540.5 |
798 | 2025-07-12 15:35:01 | tetra | 2 | 53800 | 66 | 1.656 | 32487.9 |
797 | 2025-07-12 10:16:16 | tetra | 3 | 83667 | 966 | 4.093 | 20441.5 |
796 | 2025-07-12 05:36:38 | tetra | 1 | 28756 | 5 | 0.500 | 57512.0 |
795 | 2025-07-12 00:25:44 | tetra | 3 | 83667 | 966 | 4.296 | 19475.6 |
794 | 2025-07-11 12:35:10 | tetra | 2 | 53800 | 66 | 15.076 | 3568.6 |
793 | 2025-07-11 02:50:47 | tetra | 1 | 28756 | 5 | 3.170 | 9071.3 |
792 | 2025-07-10 23:06:02 | tetra | 1 | 28756 | 5 | 3.356 | 8568.5 |
791 | 2025-07-07 21:35:22 | tetra | 1 | 28756 | 5 | 2.750 | 10456.7 |
790 | 2025-07-05 15:15:41 | tetra | 1 | 28756 | 5 | 2.546 | 11294.6 |
789 | 2025-07-01 20:46:16 | tetra | 3 | 83667 | 966 | 6.376 | 13122.2 |
788 | 2025-06-30 05:10:41 | tetra | 3 | 83667 | 966 | 14.826 | 5643.3 |
787 | 2025-06-29 20:04:04 | tetra | 3 | 83667 | 966 | 19.843 | 4216.4 |
786 | 2025-06-28 20:16:52 | tetra | 3 | 83667 | 966 | 10.703 | 7817.2 |
785 | 2025-06-26 07:57:58 | tetra | 1 | 28756 | 5 | 3.546 | 8109.4 |
784 | 2025-06-22 06:26:43 | tetra | 3 | 83667 | 966 | 14.686 | 5697.1 |
783 | 2025-06-21 09:16:52 | tetra | 1 | 28756 | 5 | 0.440 | 65354.5 |
782 | 2025-06-20 14:46:35 | tetra | 3 | 83667 | 966 | 21.016 | 3981.1 |
781 | 2025-06-20 13:56:15 | tetra | 3 | 83667 | 966 | 21.253 | 3936.7 |
780 | 2025-06-20 06:55:17 | tetra | 3 | 83667 | 966 | 19.780 | 4229.9 |
779 | 2025-06-20 03:49:56 | tetra | 3 | 83667 | 966 | 19.233 | 4350.2 |
778 | 2025-06-20 02:17:40 | tetra | 1 | 28756 | 5 | 4.140 | 6945.9 |
777 | 2025-06-20 02:10:42 | tetra | 1 | 28756 | 5 | 2.296 | 12524.4 |
776 | 2025-06-19 10:40:46 | tetra | 3 | 83667 | 966 | 3.393 | 24658.7 |
775 | 2025-06-16 22:43:31 | tetra | 1 | 28756 | 5 | 1.016 | 28303.1 |
774 | 2025-06-12 04:04:42 | tetra | 1 | 28756 | 5 | 1.140 | 25224.6 |
773 | 2025-06-09 20:16:05 | tetra | 1 | 28756 | 5 | 0.876 | 32826.5 |
772 | 2025-06-04 14:54:29 | tetra | 1 | 28756 | 5 | 1.890 | 15214.8 |
771 | 2025-06-03 21:35:20 | tetra | 1 | 28756 | 5 | 2.343 | 12273.2 |
770 | 2025-06-02 00:23:49 | tetra | 1 | 28756 | 5 | 3.690 | 7793.0 |
769 | 2025-06-01 03:07:43 | tetra | 1 | 28756 | 5 | 1.250 | 23004.8 |
768 | 2025-05-30 12:51:16 | tetra | 1 | 28756 | 5 | 3.360 | 8558.3 |
767 | 2025-05-27 12:40:42 | tetra | 2 | 53800 | 66 | 8.563 | 6282.8 |
766 | 2025-05-26 22:02:30 | tetra | 1 | 28756 | 5 | 2.483 | 11581.2 |
765 | 2025-05-25 17:09:51 | tetra | 1 | 28756 | 5 | 0.486 | 59168.7 |
764 | 2025-05-20 02:20:17 | tetra | 1 | 28756 | 5 | 1.390 | 20687.8 |
763 | 2025-05-18 22:13:18 | tetra | 1 | 28756 | 5 | 0.953 | 30174.2 |
762 | 2025-05-18 17:26:55 | tetra | 1 | 28756 | 5 | 2.703 | 10638.5 |
761 | 2025-05-12 04:48:00 | tetra | 1 | 28756 | 5 | 2.030 | 14165.5 |
760 | 2025-05-11 07:11:33 | tetra | 1 | 28756 | 5 | 2.360 | 12184.7 |
759 | 2025-05-10 12:28:20 | tetra | 1 | 28756 | 5 | 0.546 | 52666.7 |
758 | 2025-05-09 20:14:14 | tetra | 1 | 28756 | 5 | 2.390 | 12031.8 |
757 | 2025-05-03 14:48:52 | tetra | 1 | 28756 | 5 | 0.453 | 63479.0 |
756 | 2025-05-01 20:44:03 | tetra | 1 | 28756 | 5 | 1.513 | 19005.9 |
755 | 2025-04-26 23:33:04 | tetra | 1 | 28756 | 5 | 0.453 | 63479.0 |
754 | 2025-04-26 22:52:06 | tetra | 1 | 28756 | 5 | 0.453 | 63479.0 |
753 | 2025-04-25 20:43:44 | tetra | 1 | 28756 | 5 | 2.220 | 12953.2 |
752 | 2025-04-20 00:29:37 | tetra | 1 | 28756 | 5 | 1.233 | 23322.0 |
751 | 2025-04-09 05:51:11 | tetra | 2 | 53800 | 66 | 6.953 | 7737.7 |
750 | 2025-04-08 20:27:21 | tetra | 1 | 28756 | 5 | 1.313 | 21901.0 |
749 | 2025-04-08 05:36:42 | tetra | 3 | 83667 | 966 | 12.436 | 6727.8 |
748 | 2025-04-08 04:30:19 | tetra | 3 | 83667 | 966 | 18.033 | 4639.7 |
747 | 2025-04-08 02:32:21 | tetra | 3 | 83667 | 966 | 20.030 | 4177.1 |
746 | 2025-04-06 08:00:47 | tetra | 3 | 83667 | 966 | 18.503 | 4521.8 |
745 | 2025-04-03 20:09:32 | tetra | 3 | 83667 | 966 | 13.546 | 6176.5 |
744 | 2025-04-03 14:10:39 | tetra | 1 | 28756 | 5 | 0.530 | 54256.6 |
743 | 2025-04-02 15:16:06 | tetra | 1 | 28756 | 5 | 1.360 | 21144.1 |
742 | 2025-03-30 21:59:08 | tetra | 1 | 28756 | 5 | 1.123 | 25606.4 |
741 | 2025-03-20 01:29:47 | tetra | 1 | 28756 | 5 | 2.266 | 12690.2 |
740 | 2025-03-09 01:56:06 | tetra | 1 | 28756 | 5 | 2.203 | 13053.1 |
739 | 2025-03-07 07:20:04 | tetra | 3 | 83667 | 966 | 10.343 | 8089.2 |
738 | 2025-03-05 06:46:33 | tetra | 2 | 53800 | 66 | 8.503 | 6327.2 |
737 | 2025-03-04 02:17:18 | tetra | 1 | 28756 | 5 | 2.343 | 12273.2 |
736 | 2025-03-03 16:13:06 | tetra | 1 | 28756 | 5 | 0.486 | 59168.7 |
735 | 2025-03-02 23:04:26 | tetra | 1 | 28756 | 5 | 1.326 | 21686.3 |
734 | 2025-02-28 21:00:16 | tetra | 2 | 53800 | 66 | 11.296 | 4762.7 |
733 | 2025-02-28 12:08:54 | tetra | 3 | 83667 | 966 | 22.640 | 3695.5 |
732 | 2025-02-28 04:21:18 | tetra | 3 | 83667 | 966 | 15.360 | 5447.1 |
731 | 2025-02-27 21:18:34 | tetra | 3 | 83667 | 966 | 18.440 | 4537.3 |
730 | 2025-02-27 20:42:50 | tetra | 3 | 83667 | 966 | 20.923 | 3998.8 |
729 | 2025-02-27 20:42:47 | tetra | 2 | 53800 | 66 | 3.890 | 13830.3 |
728 | 2025-02-27 20:20:34 | tetra | 1 | 28756 | 5 | 0.500 | 57512.0 |
727 | 2025-02-07 00:55:20 | tetra | 1 | 28756 | 5 | 2.373 | 12118.0 |
726 | 2025-01-31 23:50:28 | tetra | 1 | 28756 | 5 | 2.983 | 9640.0 |
725 | 2025-01-28 17:05:24 | tetra | 2 | 53800 | 66 | 5.826 | 9234.5 |
724 | 2025-01-28 16:58:35 | tetra | 1 | 28756 | 5 | 0.546 | 52666.7 |
723 | 2025-01-28 15:08:59 | tetra | 3 | 83667 | 966 | 21.080 | 3969.0 |
722 | 2025-01-28 15:08:55 | tetra | 2 | 53800 | 66 | 3.983 | 13507.4 |