History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"subsets"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
805 | 2025-08-09 09:09:21 | subsets | 1 | 69583 | 6 | 6.673 | 10427.5 |
804 | 2025-08-02 04:16:19 | subsets | 2 | 107671 | 38 | 9.546 | 11279.2 |
803 | 2025-07-31 19:50:10 | subsets | 3 | 134027 | 390 | 31.593 | 4242.3 |
802 | 2025-07-31 17:33:57 | subsets | 1 | 69583 | 6 | 6.736 | 10330.0 |
801 | 2025-07-27 10:08:48 | subsets | 2 | 107671 | 38 | 11.610 | 9274.0 |
800 | 2025-07-27 03:01:45 | subsets | 3 | 134027 | 390 | 17.063 | 7854.8 |
799 | 2025-07-26 09:50:00 | subsets | 2 | 107671 | 38 | 5.423 | 19854.5 |
798 | 2025-07-26 09:37:14 | subsets | 3 | 134027 | 390 | 13.576 | 9872.3 |
797 | 2025-07-25 09:32:14 | subsets | 1 | 69583 | 6 | 4.283 | 16246.3 |
796 | 2025-07-24 15:51:11 | subsets | 1 | 69583 | 6 | 5.486 | 12683.7 |
795 | 2025-07-23 08:44:11 | subsets | 1 | 69583 | 6 | 3.110 | 22374.0 |
794 | 2025-07-23 07:13:06 | subsets | 1 | 69583 | 6 | 3.670 | 18959.9 |
793 | 2025-07-23 03:49:45 | subsets | 1 | 69583 | 6 | 2.906 | 23944.6 |
792 | 2025-07-05 09:29:17 | subsets | 1 | 69583 | 6 | 3.436 | 20251.2 |
791 | 2025-07-04 16:20:36 | subsets | 1 | 69583 | 6 | 7.313 | 9515.0 |
790 | 2025-06-26 08:54:28 | subsets | 1 | 69583 | 6 | 6.003 | 11591.4 |
789 | 2025-06-12 06:22:38 | subsets | 1 | 69583 | 6 | 5.516 | 12614.8 |
788 | 2025-06-04 16:17:14 | subsets | 1 | 69583 | 6 | 3.016 | 23071.3 |
787 | 2025-06-04 00:26:26 | subsets | 1 | 69583 | 6 | 6.203 | 11217.6 |
786 | 2025-06-02 09:25:27 | subsets | 1 | 69583 | 6 | 5.953 | 11688.7 |
785 | 2025-05-26 09:24:42 | subsets | 1 | 69583 | 6 | 4.453 | 15626.1 |
784 | 2025-05-24 00:14:11 | subsets | 1 | 69583 | 6 | 9.016 | 7717.7 |
783 | 2025-05-22 11:10:54 | subsets | 1 | 69583 | 6 | 6.110 | 11388.4 |
782 | 2025-05-11 05:19:06 | subsets | 1 | 69583 | 6 | 4.953 | 14048.7 |
781 | 2025-05-10 06:20:23 | subsets | 1 | 69583 | 6 | 5.983 | 11630.1 |
780 | 2025-05-03 15:36:06 | subsets | 1 | 69583 | 6 | 7.406 | 9395.5 |
779 | 2025-04-30 09:33:25 | subsets | 1 | 69583 | 6 | 3.656 | 19032.5 |
778 | 2025-04-28 15:51:53 | subsets | 2 | 107671 | 38 | 12.233 | 8801.7 |
777 | 2025-04-23 08:16:43 | subsets | 1 | 69583 | 6 | 5.970 | 11655.4 |
776 | 2025-04-13 16:26:04 | subsets | 1 | 69583 | 6 | 1.296 | 53690.6 |
775 | 2025-04-08 05:30:52 | subsets | 1 | 69583 | 6 | 1.156 | 60192.9 |
774 | 2025-04-02 15:30:40 | subsets | 1 | 69583 | 6 | 3.313 | 21003.0 |
773 | 2025-04-02 10:13:55 | subsets | 3 | 134027 | 390 | 31.736 | 4223.2 |
772 | 2025-03-31 10:33:29 | subsets | 3 | 134027 | 390 | 37.110 | 3611.6 |
771 | 2025-03-31 01:43:33 | subsets | 3 | 134027 | 390 | 31.096 | 4310.1 |
770 | 2025-03-30 23:26:18 | subsets | 3 | 134027 | 390 | 27.860 | 4810.7 |
769 | 2025-03-29 15:50:01 | subsets | 3 | 134027 | 390 | 29.110 | 4604.2 |
768 | 2025-03-29 11:37:33 | subsets | 1 | 69583 | 6 | 3.843 | 18106.4 |
767 | 2025-03-23 10:30:31 | subsets | 1 | 69583 | 6 | 7.640 | 9107.7 |
766 | 2025-03-20 13:13:35 | subsets | 1 | 69583 | 6 | 5.810 | 11976.4 |
765 | 2025-03-08 19:52:34 | subsets | 1 | 69583 | 6 | 5.766 | 12067.8 |
764 | 2025-03-03 01:13:52 | subsets | 1 | 69583 | 6 | 4.736 | 14692.4 |
763 | 2025-02-27 15:52:49 | subsets | 3 | 134027 | 390 | 28.830 | 4648.9 |
762 | 2025-02-27 12:46:26 | subsets | 3 | 134027 | 390 | 32.500 | 4123.9 |
761 | 2025-02-27 11:05:59 | subsets | 3 | 134027 | 390 | 30.180 | 4440.9 |
760 | 2025-02-26 23:01:01 | subsets | 3 | 134027 | 390 | 17.486 | 7664.8 |
759 | 2025-02-26 16:21:57 | subsets | 3 | 134027 | 390 | 34.733 | 3858.8 |
758 | 2025-02-26 10:31:49 | subsets | 3 | 134027 | 390 | 10.736 | 12483.9 |
757 | 2025-02-26 01:57:13 | subsets | 1 | 69583 | 6 | 8.176 | 8510.6 |
756 | 2025-02-24 19:14:13 | subsets | 2 | 107671 | 38 | 14.580 | 7384.8 |
755 | 2025-02-20 12:27:00 | subsets | 2 | 107671 | 38 | 7.440 | 14471.9 |
754 | 2025-02-13 09:01:46 | subsets | 1 | 69583 | 6 | 3.780 | 18408.2 |
753 | 2025-02-09 08:29:02 | subsets | 1 | 69583 | 6 | 5.720 | 12164.9 |
752 | 2025-01-30 09:09:22 | subsets | 1 | 69583 | 6 | 3.173 | 21929.7 |
751 | 2025-01-26 01:54:15 | subsets | 1 | 69583 | 6 | 6.126 | 11358.6 |
750 | 2025-01-11 06:28:08 | subsets | 1 | 69583 | 6 | 7.250 | 9597.7 |
749 | 2024-12-28 10:35:27 | subsets | 1 | 69583 | 6 | 6.390 | 10889.4 |
748 | 2024-12-23 17:54:15 | subsets | 1 | 69583 | 6 | 2.936 | 23699.9 |
747 | 2024-12-20 20:02:12 | subsets | 1 | 69583 | 6 | 6.250 | 11133.3 |
746 | 2024-12-11 14:19:19 | subsets | 2 | 107671 | 38 | 7.500 | 14356.1 |
745 | 2024-12-11 14:19:10 | subsets | 1 | 69583 | 6 | 3.516 | 19790.4 |
744 | 2024-11-23 04:23:39 | subsets | 3 | 134027 | 390 | 33.173 | 4040.2 |
743 | 2024-11-20 09:03:55 | subsets | 3 | 134027 | 390 | 16.576 | 8085.6 |
742 | 2024-11-19 16:14:50 | subsets | 3 | 134027 | 390 | 24.080 | 5565.9 |
741 | 2024-11-19 15:08:53 | subsets | 3 | 134027 | 390 | 34.613 | 3872.2 |
740 | 2024-11-18 23:02:34 | subsets | 3 | 134027 | 390 | 34.720 | 3860.2 |
739 | 2024-11-17 09:07:04 | subsets | 1 | 69583 | 6 | 9.190 | 7571.6 |
738 | 2024-11-08 19:58:24 | subsets | 1 | 69583 | 6 | 3.360 | 20709.2 |
737 | 2024-11-01 20:00:47 | subsets | 1 | 69583 | 6 | 5.983 | 11630.1 |
736 | 2024-10-29 06:30:51 | subsets | 1 | 69583 | 6 | 5.783 | 12032.3 |
735 | 2024-10-15 19:35:38 | subsets | 2 | 107671 | 38 | 8.623 | 12486.5 |
734 | 2024-10-15 18:22:25 | subsets | 2 | 107671 | 38 | 13.220 | 8144.6 |
733 | 2024-10-15 18:22:12 | subsets | 1 | 69583 | 6 | 5.810 | 11976.4 |
732 | 2024-10-11 15:05:24 | subsets | 3 | 134027 | 390 | 32.986 | 4063.1 |
731 | 2024-10-10 18:56:57 | subsets | 3 | 134027 | 390 | 34.986 | 3830.9 |
730 | 2024-10-10 03:43:46 | subsets | 3 | 134027 | 390 | 45.320 | 2957.3 |
729 | 2024-10-09 20:09:44 | subsets | 3 | 134027 | 390 | 47.690 | 2810.4 |
728 | 2024-10-09 20:09:51 | subsets | 2 | 107671 | 38 | 12.203 | 8823.3 |
727 | 2024-10-09 18:26:20 | subsets | 1 | 69583 | 6 | 8.940 | 7783.3 |
726 | 2024-09-30 14:04:03 | subsets | 1 | 69583 | 6 | 5.970 | 11655.4 |
725 | 2024-09-28 11:34:32 | subsets | 1 | 69583 | 6 | 4.860 | 14317.5 |
724 | 2024-09-09 20:34:40 | subsets | 1 | 69583 | 6 | 4.830 | 14406.4 |
723 | 2024-09-05 18:49:08 | subsets | 1 | 69583 | 6 | 12.310 | 5652.6 |
722 | 2024-08-24 18:39:23 | subsets | 1 | 69583 | 6 | 5.060 | 13751.6 |
721 | 2024-08-16 15:06:49 | subsets | 1 | 69583 | 6 | 5.216 | 13340.3 |
720 | 2024-08-15 18:29:05 | subsets | 1 | 69583 | 6 | 5.250 | 13253.9 |
719 | 2024-08-15 08:21:20 | subsets | 1 | 69583 | 6 | 3.860 | 18026.7 |
718 | 2024-08-08 19:00:21 | subsets | 1 | 69583 | 6 | 6.466 | 10761.4 |
717 | 2024-08-02 19:11:07 | subsets | 1 | 69583 | 6 | 4.280 | 16257.7 |
716 | 2024-08-01 03:48:51 | subsets | 1 | 69583 | 6 | 4.420 | 15742.8 |
715 | 2024-07-16 09:47:15 | subsets | 1 | 69583 | 6 | 4.263 | 16322.5 |
714 | 2024-07-11 18:44:16 | subsets | 1 | 69583 | 6 | 2.156 | 32274.1 |
713 | 2024-07-11 17:23:55 | subsets | 1 | 69583 | 6 | 6.890 | 10099.1 |
712 | 2024-07-02 14:04:13 | subsets | 1 | 69583 | 6 | 4.283 | 16246.3 |
711 | 2024-06-27 13:14:31 | subsets | 1 | 69583 | 6 | 2.903 | 23969.3 |
710 | 2024-06-20 23:26:29 | subsets | 1 | 69583 | 6 | 2.500 | 27833.2 |
709 | 2024-06-16 13:35:20 | subsets | 1 | 69583 | 6 | 5.500 | 12651.5 |
708 | 2024-06-15 15:52:53 | subsets | 1 | 69583 | 6 | 5.313 | 13096.7 |
707 | 2024-06-05 01:43:56 | subsets | 1 | 69583 | 6 | 4.826 | 14418.4 |
706 | 2024-05-26 16:14:04 | subsets | 1 | 69583 | 6 | 2.860 | 24329.7 |