History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"variances"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
803 | 2025-07-18 13:34:40 | variances | 3 | 148641 | 80 | 36.423 | 4081.0 |
802 | 2025-07-13 20:10:20 | variances | 2 | 121436 | 16 | 17.720 | 6853.0 |
801 | 2025-07-12 04:38:57 | variances | 3 | 148641 | 80 | 7.610 | 19532.3 |
800 | 2025-07-10 14:10:56 | variances | 1 | 81242 | 3 | 4.763 | 17056.9 |
799 | 2025-07-05 11:38:30 | variances | 3 | 148641 | 80 | 35.986 | 4130.5 |
798 | 2025-07-05 09:08:12 | variances | 3 | 148641 | 80 | 29.596 | 5022.3 |
797 | 2025-07-03 15:22:01 | variances | 3 | 148641 | 80 | 7.283 | 20409.3 |
796 | 2025-06-27 04:40:14 | variances | 3 | 148641 | 80 | 27.923 | 5323.2 |
795 | 2025-06-26 03:12:48 | variances | 1 | 81242 | 3 | 3.673 | 22118.7 |
794 | 2025-06-25 04:45:46 | variances | 3 | 148641 | 80 | 35.376 | 4201.7 |
793 | 2025-06-21 08:38:15 | variances | 3 | 148641 | 80 | 31.016 | 4792.4 |
792 | 2025-06-17 18:53:57 | variances | 1 | 81242 | 3 | 1.343 | 60492.9 |
791 | 2025-06-17 10:58:15 | variances | 1 | 81242 | 3 | 1.500 | 54161.3 |
790 | 2025-06-15 18:22:46 | variances | 1 | 81242 | 3 | 1.263 | 64324.6 |
789 | 2025-06-14 08:34:38 | variances | 2 | 121436 | 16 | 19.343 | 6278.0 |
788 | 2025-06-13 14:49:57 | variances | 4 | 165329 | 658 | 12.830 | 12886.1 |
787 | 2025-06-13 11:26:14 | variances | 3 | 148641 | 80 | 7.440 | 19978.6 |
786 | 2025-06-13 09:00:06 | variances | 4 | 165329 | 658 | 16.016 | 10322.7 |
785 | 2025-06-13 01:07:44 | variances | 1 | 81242 | 3 | 1.233 | 65889.7 |
784 | 2025-06-10 15:47:05 | variances | 3 | 148641 | 80 | 20.656 | 7196.0 |
783 | 2025-06-08 16:07:07 | variances | 3 | 148641 | 80 | 36.626 | 4058.3 |
782 | 2025-06-08 05:05:21 | variances | 4 | 165329 | 658 | 48.986 | 3375.0 |
781 | 2025-06-08 02:44:05 | variances | 4 | 165329 | 658 | 79.936 | 2068.3 |
780 | 2025-06-07 10:08:01 | variances | 4 | 165329 | 658 | 56.190 | 2942.3 |
779 | 2025-06-05 10:35:10 | variances | 1 | 81242 | 3 | 4.936 | 16459.1 |
778 | 2025-05-29 12:30:16 | variances | 1 | 81242 | 3 | 5.060 | 16055.7 |
777 | 2025-05-28 00:29:15 | variances | 3 | 148641 | 80 | 10.186 | 14592.7 |
776 | 2025-05-24 06:47:40 | variances | 1 | 81242 | 3 | 3.513 | 23126.1 |
775 | 2025-05-22 11:46:53 | variances | 1 | 81242 | 3 | 6.563 | 12378.8 |
774 | 2025-05-20 13:32:35 | variances | 1 | 81242 | 3 | 12.826 | 6334.2 |
773 | 2025-05-15 17:02:45 | variances | 1 | 81242 | 3 | 1.580 | 51419.0 |
772 | 2025-05-12 01:27:50 | variances | 1 | 81242 | 3 | 8.733 | 9302.9 |
771 | 2025-05-03 17:10:27 | variances | 3 | 148641 | 80 | 6.530 | 22762.8 |
770 | 2025-05-02 12:10:49 | variances | 1 | 81242 | 3 | 9.920 | 8189.7 |
769 | 2025-05-01 05:35:34 | variances | 1 | 81242 | 3 | 5.440 | 14934.2 |
768 | 2025-04-23 05:12:36 | variances | 1 | 81242 | 3 | 7.313 | 11109.3 |
767 | 2025-04-23 03:23:58 | variances | 1 | 81242 | 3 | 3.860 | 21047.2 |
766 | 2025-04-20 10:10:11 | variances | 2 | 121436 | 16 | 9.813 | 12375.0 |
765 | 2025-04-16 20:01:51 | variances | 3 | 148641 | 80 | 16.406 | 9060.2 |
764 | 2025-04-16 14:56:42 | variances | 3 | 148641 | 80 | 44.110 | 3369.8 |
763 | 2025-04-15 21:56:09 | variances | 2 | 121436 | 16 | 27.723 | 4380.3 |
762 | 2025-04-15 13:03:39 | variances | 1 | 81242 | 3 | 1.406 | 57782.4 |
761 | 2025-04-11 01:24:09 | variances | 1 | 81242 | 3 | 3.923 | 20709.2 |
760 | 2025-04-09 01:51:05 | variances | 4 | 165329 | 658 | 66.113 | 2500.7 |
759 | 2025-04-09 00:15:52 | variances | 4 | 165329 | 658 | 71.333 | 2317.7 |
758 | 2025-04-08 12:51:30 | variances | 4 | 165329 | 658 | 56.520 | 2925.1 |
757 | 2025-04-07 08:35:18 | variances | 4 | 165329 | 658 | 14.906 | 11091.4 |
756 | 2025-04-07 07:12:33 | variances | 1 | 81242 | 3 | 3.470 | 23412.7 |
755 | 2025-04-07 03:17:13 | variances | 4 | 165329 | 658 | 67.893 | 2435.1 |
754 | 2025-04-07 02:16:21 | variances | 4 | 165329 | 658 | 58.673 | 2817.8 |
753 | 2025-04-06 20:14:03 | variances | 1 | 81242 | 3 | 6.763 | 12012.7 |
752 | 2025-04-05 20:36:15 | variances | 4 | 165329 | 658 | 47.813 | 3457.8 |
751 | 2025-04-02 12:02:40 | variances | 1 | 81242 | 3 | 9.266 | 8767.8 |
750 | 2025-03-25 18:44:52 | variances | 3 | 148641 | 80 | 28.016 | 5305.6 |
749 | 2025-03-25 17:43:36 | variances | 3 | 148641 | 80 | 21.750 | 6834.1 |
748 | 2025-03-23 21:40:25 | variances | 2 | 121436 | 16 | 27.110 | 4479.4 |
747 | 2025-03-23 21:06:53 | variances | 3 | 148641 | 80 | 26.766 | 5553.4 |
746 | 2025-03-23 00:07:03 | variances | 1 | 81242 | 3 | 7.656 | 10611.5 |
745 | 2025-03-22 05:02:27 | variances | 1 | 81242 | 3 | 1.436 | 56575.2 |
744 | 2025-03-20 06:25:37 | variances | 1 | 81242 | 3 | 7.076 | 11481.3 |
743 | 2025-03-15 13:28:34 | variances | 2 | 121436 | 16 | 23.003 | 5279.1 |
742 | 2025-03-15 13:21:35 | variances | 1 | 81242 | 3 | 6.313 | 12869.0 |
741 | 2025-03-14 16:13:27 | variances | 1 | 81242 | 3 | 6.516 | 12468.1 |
740 | 2025-02-22 08:43:08 | variances | 3 | 148641 | 80 | 47.143 | 3153.0 |
739 | 2025-02-13 10:54:44 | variances | 3 | 148641 | 80 | 43.910 | 3385.1 |
738 | 2025-02-13 07:10:57 | variances | 4 | 165329 | 658 | 66.536 | 2484.8 |
737 | 2025-02-13 07:10:44 | variances | 3 | 148641 | 80 | 37.063 | 4010.5 |
736 | 2025-02-13 07:10:38 | variances | 2 | 121436 | 16 | 18.453 | 6580.8 |
735 | 2025-02-13 07:07:35 | variances | 1 | 81242 | 3 | 5.000 | 16248.4 |
734 | 2025-02-04 11:28:10 | variances | 1 | 81242 | 3 | 1.420 | 57212.7 |
733 | 2025-02-02 16:22:00 | variances | 1 | 81242 | 3 | 9.860 | 8239.6 |
732 | 2025-01-28 17:33:43 | variances | 1 | 81242 | 3 | 3.830 | 21212.0 |
731 | 2025-01-08 14:04:34 | variances | 1 | 81242 | 3 | 6.550 | 12403.4 |
730 | 2024-12-30 21:38:43 | variances | 1 | 81242 | 3 | 1.373 | 59171.2 |
729 | 2024-12-30 18:49:36 | variances | 2 | 121436 | 16 | 9.360 | 12973.9 |
728 | 2024-12-25 17:13:25 | variances | 1 | 81242 | 3 | 2.936 | 27671.0 |
727 | 2024-12-05 17:26:58 | variances | 4 | 165329 | 658 | 55.650 | 2970.9 |
726 | 2024-12-05 16:02:26 | variances | 4 | 165329 | 658 | 91.363 | 1809.6 |
725 | 2024-12-05 16:02:21 | variances | 2 | 121436 | 16 | 20.266 | 5992.1 |
724 | 2024-12-05 12:41:02 | variances | 4 | 165329 | 658 | 93.286 | 1772.3 |
723 | 2024-12-05 12:41:10 | variances | 2 | 121436 | 16 | 13.593 | 8933.7 |
722 | 2024-12-05 12:40:38 | variances | 1 | 81242 | 3 | 4.550 | 17855.4 |
721 | 2024-12-02 12:35:14 | variances | 3 | 148641 | 80 | 28.033 | 5302.4 |
720 | 2024-12-01 11:12:47 | variances | 2 | 121436 | 16 | 17.500 | 6939.2 |
719 | 2024-11-30 09:00:29 | variances | 3 | 148641 | 80 | 45.453 | 3270.2 |
718 | 2024-11-29 12:20:41 | variances | 3 | 148641 | 80 | 34.296 | 4334.1 |
717 | 2024-11-29 12:20:35 | variances | 3 | 148641 | 80 | 38.800 | 3831.0 |
716 | 2024-11-29 12:20:35 | variances | 2 | 121436 | 16 | 11.816 | 10277.3 |
715 | 2024-11-29 11:11:29 | variances | 1 | 81242 | 3 | 1.343 | 60492.9 |
714 | 2024-11-27 22:15:41 | variances | 1 | 81242 | 3 | 8.703 | 9334.9 |
713 | 2024-11-20 21:55:22 | variances | 1 | 81242 | 3 | 6.876 | 11815.3 |
712 | 2024-11-15 12:04:58 | variances | 1 | 81242 | 3 | 4.720 | 17212.3 |
711 | 2024-11-06 15:23:04 | variances | 3 | 148641 | 80 | 43.016 | 3455.5 |
710 | 2024-10-27 21:00:45 | variances | 1 | 81242 | 3 | 1.313 | 61875.1 |
709 | 2024-10-27 02:19:16 | variances | 3 | 148641 | 80 | 54.956 | 2704.7 |
708 | 2024-10-27 01:37:03 | variances | 1 | 81242 | 3 | 1.843 | 44081.4 |
707 | 2024-10-24 21:17:03 | variances | 1 | 81242 | 3 | 5.780 | 14055.7 |
706 | 2024-10-24 21:12:05 | variances | 1 | 81242 | 3 | 6.783 | 11977.3 |
705 | 2024-10-24 21:07:12 | variances | 1 | 81242 | 3 | 9.373 | 8667.7 |
704 | 2024-10-24 20:59:55 | variances | 2 | 121436 | 16 | 14.720 | 8249.7 |