History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"cubed"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
807 | 2025-08-20 07:36:41 | cubed | 1 | 28756 | 10 | 0.500 | 57512.0 |
806 | 2025-08-09 20:46:46 | cubed | 1 | 28756 | 10 | 0.826 | 34813.6 |
805 | 2025-08-05 16:37:37 | cubed | 2 | 53800 | 153 | 3.703 | 14528.8 |
804 | 2025-08-04 11:00:07 | cubed | 2 | 53800 | 153 | 3.423 | 15717.2 |
803 | 2025-07-29 03:06:11 | cubed | 1 | 28756 | 10 | 1.330 | 21621.1 |
802 | 2025-07-24 20:37:36 | cubed | 1 | 28756 | 10 | 1.170 | 24577.8 |
801 | 2025-07-23 20:43:14 | cubed | 1 | 28756 | 10 | 2.533 | 11352.5 |
800 | 2025-07-22 11:28:47 | cubed | 1 | 28756 | 10 | 1.580 | 18200.0 |
799 | 2025-07-17 10:44:50 | cubed | 1 | 28756 | 10 | 1.173 | 24514.9 |
798 | 2025-07-14 09:20:52 | cubed | 1 | 28756 | 10 | 1.936 | 14853.3 |
797 | 2025-07-13 00:00:19 | cubed | 2 | 53800 | 153 | 7.576 | 7101.4 |
796 | 2025-07-12 16:05:07 | cubed | 2 | 53800 | 153 | 2.593 | 20748.2 |
795 | 2025-07-11 17:32:45 | cubed | 2 | 53800 | 153 | 7.796 | 6901.0 |
794 | 2025-07-11 10:20:19 | cubed | 2 | 53800 | 153 | 4.203 | 12800.4 |
793 | 2025-07-09 20:34:37 | cubed | 1 | 28756 | 10 | 0.876 | 32826.5 |
792 | 2025-07-09 15:42:59 | cubed | 2 | 53800 | 153 | 1.623 | 33148.5 |
791 | 2025-07-07 13:21:15 | cubed | 2 | 53800 | 153 | 9.423 | 5709.4 |
790 | 2025-07-07 08:21:28 | cubed | 2 | 53800 | 153 | 10.860 | 4954.0 |
789 | 2025-07-05 10:55:37 | cubed | 2 | 53800 | 153 | 7.733 | 6957.2 |
788 | 2025-07-02 16:02:14 | cubed | 1 | 28756 | 10 | 2.733 | 10521.8 |
787 | 2025-07-01 22:42:10 | cubed | 1 | 28756 | 10 | 3.453 | 8327.8 |
786 | 2025-06-23 21:25:20 | cubed | 1 | 28756 | 10 | 1.623 | 17717.8 |
785 | 2025-06-14 08:39:06 | cubed | 1 | 28756 | 10 | 1.376 | 20898.3 |
784 | 2025-06-10 14:23:48 | cubed | 1 | 28756 | 10 | 2.550 | 11276.9 |
783 | 2025-06-07 20:30:42 | cubed | 1 | 28756 | 10 | 2.373 | 12118.0 |
782 | 2025-06-05 13:38:38 | cubed | 2 | 53800 | 153 | 8.003 | 6722.5 |
781 | 2025-06-04 18:24:18 | cubed | 1 | 28756 | 10 | 3.576 | 8041.4 |
780 | 2025-06-03 06:24:58 | cubed | 2 | 53800 | 153 | 1.593 | 33772.8 |
779 | 2025-06-02 23:14:18 | cubed | 1 | 28756 | 10 | 1.453 | 19790.8 |
778 | 2025-06-02 14:55:24 | cubed | 1 | 28756 | 10 | 2.330 | 12341.6 |
777 | 2025-06-01 22:00:52 | cubed | 1 | 28756 | 10 | 2.873 | 10009.0 |
776 | 2025-05-31 20:47:36 | cubed | 2 | 53800 | 153 | 3.733 | 14412.0 |
775 | 2025-05-28 04:54:24 | cubed | 1 | 28756 | 10 | 0.530 | 54256.6 |
774 | 2025-05-27 08:25:18 | cubed | 2 | 53800 | 153 | 5.330 | 10093.8 |
773 | 2025-05-26 19:16:11 | cubed | 1 | 28756 | 10 | 2.110 | 13628.4 |
772 | 2025-05-24 18:41:20 | cubed | 1 | 28756 | 10 | 1.436 | 20025.1 |
771 | 2025-05-16 09:09:30 | cubed | 1 | 28756 | 10 | 2.530 | 11366.0 |
770 | 2025-05-15 11:34:29 | cubed | 1 | 28756 | 10 | 2.420 | 11882.6 |
769 | 2025-05-12 12:50:03 | cubed | 2 | 53800 | 153 | 8.326 | 6461.7 |
768 | 2025-05-12 08:39:41 | cubed | 1 | 28756 | 10 | 2.313 | 12432.3 |
767 | 2025-05-11 07:10:31 | cubed | 2 | 53800 | 153 | 7.686 | 6999.7 |
766 | 2025-05-10 08:13:25 | cubed | 2 | 53800 | 153 | 8.576 | 6273.3 |
765 | 2025-05-07 23:39:45 | cubed | 2 | 53800 | 153 | 5.533 | 9723.5 |
764 | 2025-05-07 20:22:06 | cubed | 1 | 28756 | 10 | 2.346 | 12257.5 |
763 | 2025-05-07 04:47:03 | cubed | 2 | 53800 | 153 | 1.610 | 33416.1 |
762 | 2025-05-06 22:53:07 | cubed | 1 | 28756 | 10 | 0.750 | 38341.3 |
761 | 2025-05-05 14:50:42 | cubed | 1 | 28756 | 10 | 1.440 | 19969.4 |
760 | 2025-05-02 12:19:08 | cubed | 2 | 53800 | 153 | 5.560 | 9676.3 |
759 | 2025-05-01 22:05:43 | cubed | 1 | 28756 | 10 | 2.656 | 10826.8 |
758 | 2025-05-01 17:49:17 | cubed | 1 | 28756 | 10 | 0.453 | 63479.0 |
757 | 2025-05-01 14:21:47 | cubed | 1 | 28756 | 10 | 1.203 | 23903.6 |
756 | 2025-04-16 08:13:43 | cubed | 1 | 28756 | 10 | 2.903 | 9905.6 |
755 | 2025-04-11 13:54:06 | cubed | 2 | 53800 | 153 | 8.406 | 6400.2 |
754 | 2025-04-11 13:38:25 | cubed | 2 | 53800 | 153 | 5.970 | 9011.7 |
753 | 2025-04-10 14:05:42 | cubed | 1 | 28756 | 10 | 0.500 | 57512.0 |
752 | 2025-04-10 07:29:02 | cubed | 1 | 28756 | 10 | 0.500 | 57512.0 |
751 | 2025-04-07 19:53:26 | cubed | 1 | 28756 | 10 | 1.000 | 28756.0 |
750 | 2025-04-01 21:43:39 | cubed | 1 | 28756 | 10 | 2.296 | 12524.4 |
749 | 2025-03-31 16:43:40 | cubed | 1 | 28756 | 10 | 3.470 | 8287.0 |
748 | 2025-03-22 19:12:56 | cubed | 1 | 28756 | 10 | 0.486 | 59168.7 |
747 | 2025-03-22 02:06:04 | cubed | 1 | 28756 | 10 | 1.610 | 17860.9 |
746 | 2025-03-20 10:48:29 | cubed | 1 | 28756 | 10 | 2.466 | 11661.0 |
745 | 2025-03-16 06:03:40 | cubed | 1 | 28756 | 10 | 2.220 | 12953.2 |
744 | 2025-03-11 19:13:53 | cubed | 1 | 28756 | 10 | 1.173 | 24514.9 |
743 | 2025-03-10 22:46:43 | cubed | 1 | 28756 | 10 | 3.360 | 8558.3 |
742 | 2025-03-10 22:45:38 | cubed | 1 | 28756 | 10 | 1.876 | 15328.4 |
741 | 2025-03-07 16:56:45 | cubed | 1 | 28756 | 10 | 2.576 | 11163.0 |
740 | 2025-03-07 16:52:56 | cubed | 2 | 53800 | 153 | 5.326 | 10101.4 |
739 | 2025-02-27 06:26:33 | cubed | 1 | 28756 | 10 | 2.296 | 12524.4 |
738 | 2025-02-26 08:57:10 | cubed | 2 | 53800 | 153 | 9.593 | 5608.3 |
737 | 2025-02-26 08:04:45 | cubed | 2 | 53800 | 153 | 6.626 | 8119.5 |
736 | 2025-02-26 06:30:37 | cubed | 2 | 53800 | 153 | 8.393 | 6410.1 |
735 | 2025-02-26 06:18:33 | cubed | 1 | 28756 | 10 | 3.096 | 9288.1 |
734 | 2025-02-07 13:50:54 | cubed | 1 | 28756 | 10 | 0.530 | 54256.6 |
733 | 2025-02-05 23:12:29 | cubed | 1 | 28756 | 10 | 0.500 | 57512.0 |
732 | 2025-02-05 14:55:23 | cubed | 1 | 28756 | 10 | 2.690 | 10690.0 |
731 | 2025-01-27 22:06:57 | cubed | 1 | 28756 | 10 | 3.673 | 7829.0 |
730 | 2025-01-27 05:47:52 | cubed | 2 | 53800 | 153 | 6.123 | 8786.5 |
729 | 2025-01-26 17:35:14 | cubed | 2 | 53800 | 153 | 7.140 | 7535.0 |
728 | 2025-01-26 17:27:19 | cubed | 1 | 28756 | 10 | 0.783 | 36725.4 |
727 | 2025-01-26 04:08:45 | cubed | 2 | 53800 | 153 | 1.356 | 39675.5 |
726 | 2025-01-25 08:57:06 | cubed | 1 | 28756 | 10 | 1.766 | 16283.1 |
725 | 2025-01-06 11:17:46 | cubed | 1 | 28756 | 10 | 1.376 | 20898.3 |
724 | 2024-12-28 19:21:53 | cubed | 1 | 28756 | 10 | 0.436 | 65954.1 |
723 | 2024-12-28 03:47:50 | cubed | 2 | 53800 | 153 | 11.656 | 4615.6 |
722 | 2024-12-27 17:50:43 | cubed | 2 | 53800 | 153 | 10.076 | 5339.4 |
721 | 2024-12-27 15:42:43 | cubed | 2 | 53800 | 153 | 4.313 | 12473.9 |
720 | 2024-12-27 15:05:40 | cubed | 1 | 28756 | 10 | 0.546 | 52666.7 |
719 | 2024-12-20 03:14:12 | cubed | 1 | 28756 | 10 | 0.483 | 59536.2 |
718 | 2024-12-19 08:49:53 | cubed | 1 | 28756 | 10 | 1.750 | 16432.0 |
717 | 2024-12-15 06:18:45 | cubed | 2 | 53800 | 153 | 8.673 | 6203.2 |
716 | 2024-12-07 09:18:15 | cubed | 1 | 28756 | 10 | 0.486 | 59168.7 |
715 | 2024-12-07 00:54:53 | cubed | 2 | 53800 | 153 | 5.140 | 10466.9 |
714 | 2024-12-06 07:21:37 | cubed | 2 | 53800 | 153 | 8.296 | 6485.1 |
713 | 2024-11-28 18:36:37 | cubed | 1 | 28756 | 10 | 3.366 | 8543.1 |
712 | 2024-11-27 08:29:05 | cubed | 1 | 28756 | 10 | 0.500 | 57512.0 |
711 | 2024-11-25 11:05:59 | cubed | 1 | 28756 | 10 | 2.623 | 10963.0 |
710 | 2024-11-07 18:23:33 | cubed | 2 | 53800 | 153 | 11.783 | 4565.9 |
709 | 2024-11-07 10:01:31 | cubed | 2 | 53800 | 153 | 1.686 | 31909.8 |
708 | 2024-11-07 04:59:42 | cubed | 2 | 53800 | 153 | 1.673 | 32157.8 |