History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"preadapts"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
804 | 2025-09-08 15:32:00 | preadapts | 1 | 81242 | 4 | 1.280 | 63470.3 |
803 | 2025-08-27 23:24:22 | preadapts | 1 | 81242 | 4 | 1.466 | 55417.5 |
802 | 2025-08-26 21:19:44 | preadapts | 1 | 81242 | 4 | 1.470 | 55266.7 |
801 | 2025-08-23 16:14:36 | preadapts | 1 | 81242 | 4 | 3.780 | 21492.6 |
800 | 2025-08-13 17:48:06 | preadapts | 4 | 165329 | 312 | 22.016 | 7509.5 |
799 | 2025-08-12 19:09:28 | preadapts | 1 | 81242 | 4 | 6.110 | 13296.6 |
798 | 2025-08-12 19:06:58 | preadapts | 4 | 165329 | 312 | 63.340 | 2610.2 |
797 | 2025-08-04 13:43:51 | preadapts | 4 | 165329 | 312 | 11.766 | 14051.4 |
796 | 2025-07-25 18:34:52 | preadapts | 4 | 165329 | 312 | 12.876 | 12840.1 |
795 | 2025-07-25 14:08:38 | preadapts | 3 | 148641 | 47 | 20.423 | 7278.1 |
794 | 2025-07-25 13:16:38 | preadapts | 2 | 121436 | 10 | 9.876 | 12296.1 |
793 | 2025-07-24 22:50:15 | preadapts | 1 | 81242 | 4 | 4.126 | 19690.3 |
792 | 2025-07-24 16:56:22 | preadapts | 3 | 148641 | 47 | 32.640 | 4554.0 |
791 | 2025-07-24 16:41:42 | preadapts | 1 | 81242 | 4 | 7.080 | 11474.9 |
790 | 2025-07-24 11:44:08 | preadapts | 3 | 148641 | 47 | 39.796 | 3735.1 |
789 | 2025-07-24 00:23:22 | preadapts | 1 | 81242 | 4 | 5.890 | 13793.2 |
788 | 2025-07-24 00:20:12 | preadapts | 1 | 81242 | 4 | 8.393 | 9679.7 |
787 | 2025-07-23 20:37:55 | preadapts | 1 | 81242 | 4 | 6.830 | 11894.9 |
786 | 2025-07-23 02:59:21 | preadapts | 4 | 165329 | 312 | 60.003 | 2755.3 |
785 | 2025-07-23 02:25:11 | preadapts | 2 | 121436 | 10 | 10.763 | 11282.7 |
784 | 2025-07-22 21:25:47 | preadapts | 4 | 165329 | 312 | 45.313 | 3648.6 |
783 | 2025-07-22 19:08:51 | preadapts | 4 | 165329 | 312 | 55.486 | 2979.7 |
782 | 2025-07-22 18:29:52 | preadapts | 4 | 165329 | 312 | 33.280 | 4967.8 |
781 | 2025-07-18 16:28:25 | preadapts | 2 | 121436 | 10 | 13.560 | 8955.5 |
780 | 2025-07-18 13:52:48 | preadapts | 4 | 165329 | 312 | 33.723 | 4902.6 |
779 | 2025-07-18 09:38:00 | preadapts | 3 | 148641 | 47 | 23.576 | 6304.8 |
778 | 2025-07-17 09:41:21 | preadapts | 3 | 148641 | 47 | 19.766 | 7520.0 |
777 | 2025-07-15 21:10:06 | preadapts | 1 | 81242 | 4 | 9.343 | 8695.5 |
776 | 2025-07-14 20:32:19 | preadapts | 3 | 148641 | 47 | 56.010 | 2653.8 |
775 | 2025-07-13 11:00:10 | preadapts | 3 | 148641 | 47 | 7.780 | 19105.5 |
774 | 2025-07-10 00:59:24 | preadapts | 1 | 81242 | 4 | 3.123 | 26014.1 |
773 | 2025-07-02 16:41:36 | preadapts | 1 | 81242 | 4 | 8.576 | 9473.2 |
772 | 2025-06-18 13:27:46 | preadapts | 1 | 81242 | 4 | 5.983 | 13578.8 |
771 | 2025-06-16 17:10:07 | preadapts | 1 | 81242 | 4 | 7.596 | 10695.4 |
770 | 2025-06-16 09:28:45 | preadapts | 1 | 81242 | 4 | 6.186 | 13133.2 |
769 | 2025-06-15 19:24:17 | preadapts | 1 | 81242 | 4 | 4.923 | 16502.5 |
768 | 2025-06-15 11:26:39 | preadapts | 4 | 165329 | 312 | 57.956 | 2852.7 |
767 | 2025-06-13 05:56:54 | preadapts | 4 | 165329 | 312 | 48.943 | 3378.0 |
766 | 2025-06-11 10:47:45 | preadapts | 4 | 165329 | 312 | 51.583 | 3205.1 |
765 | 2025-06-09 20:53:53 | preadapts | 1 | 81242 | 4 | 5.313 | 15291.2 |
764 | 2025-06-08 06:46:45 | preadapts | 4 | 165329 | 312 | 57.206 | 2890.1 |
763 | 2025-05-23 11:42:59 | preadapts | 1 | 81242 | 4 | 1.546 | 52549.8 |
762 | 2025-05-16 16:56:57 | preadapts | 1 | 81242 | 4 | 6.263 | 12971.7 |
761 | 2025-05-16 16:48:36 | preadapts | 1 | 81242 | 4 | 7.343 | 11063.9 |
760 | 2025-05-15 14:47:42 | preadapts | 3 | 148641 | 47 | 13.483 | 11024.3 |
759 | 2025-05-15 00:44:09 | preadapts | 2 | 121436 | 10 | 12.576 | 9656.2 |
758 | 2025-05-14 23:49:00 | preadapts | 3 | 148641 | 47 | 8.186 | 18158.0 |
757 | 2025-05-09 12:23:41 | preadapts | 1 | 81242 | 4 | 1.436 | 56575.2 |
756 | 2025-05-02 06:16:13 | preadapts | 3 | 148641 | 47 | 45.453 | 3270.2 |
755 | 2025-05-02 00:05:13 | preadapts | 1 | 81242 | 4 | 7.360 | 11038.3 |
754 | 2025-04-25 20:49:03 | preadapts | 1 | 81242 | 4 | 4.076 | 19931.8 |
753 | 2025-04-09 16:41:43 | preadapts | 1 | 81242 | 4 | 6.716 | 12096.8 |
752 | 2025-04-09 15:30:19 | preadapts | 1 | 81242 | 4 | 7.076 | 11481.3 |
751 | 2025-04-04 06:11:42 | preadapts | 3 | 148641 | 47 | 45.030 | 3300.9 |
750 | 2025-04-03 11:57:48 | preadapts | 1 | 81242 | 4 | 3.483 | 23325.3 |
749 | 2025-03-31 02:40:14 | preadapts | 4 | 165329 | 312 | 72.363 | 2284.7 |
748 | 2025-03-30 00:02:28 | preadapts | 2 | 121436 | 10 | 18.750 | 6476.6 |
747 | 2025-03-27 17:14:57 | preadapts | 2 | 121436 | 10 | 23.423 | 5184.5 |
746 | 2025-03-27 12:46:52 | preadapts | 4 | 165329 | 312 | 57.616 | 2869.5 |
745 | 2025-03-26 07:55:04 | preadapts | 3 | 148641 | 47 | 7.423 | 20024.4 |
744 | 2025-03-25 03:17:05 | preadapts | 2 | 121436 | 10 | 18.703 | 6492.9 |
743 | 2025-03-24 05:00:23 | preadapts | 3 | 148641 | 47 | 36.893 | 4029.0 |
742 | 2025-03-24 01:07:38 | preadapts | 1 | 81242 | 4 | 6.283 | 12930.4 |
741 | 2025-03-23 16:48:56 | preadapts | 3 | 148641 | 47 | 38.426 | 3868.2 |
740 | 2025-03-21 14:10:22 | preadapts | 3 | 148641 | 47 | 19.486 | 7628.1 |
739 | 2025-03-19 23:40:33 | preadapts | 1 | 81242 | 4 | 7.076 | 11481.3 |
738 | 2025-03-19 22:35:23 | preadapts | 1 | 81242 | 4 | 5.376 | 15112.0 |
737 | 2025-03-19 21:37:38 | preadapts | 1 | 81242 | 4 | 4.046 | 20079.6 |
736 | 2025-03-16 00:35:42 | preadapts | 3 | 148641 | 47 | 19.283 | 7708.4 |
735 | 2025-03-15 12:14:28 | preadapts | 3 | 148641 | 47 | 33.033 | 4499.8 |
734 | 2025-03-10 10:32:19 | preadapts | 3 | 148641 | 47 | 37.143 | 4001.9 |
733 | 2025-03-10 08:03:42 | preadapts | 3 | 148641 | 47 | 36.346 | 4089.6 |
732 | 2025-03-09 07:20:41 | preadapts | 1 | 81242 | 4 | 4.640 | 17509.1 |
731 | 2025-03-09 06:41:15 | preadapts | 3 | 148641 | 47 | 33.203 | 4476.7 |
730 | 2025-03-09 01:31:15 | preadapts | 4 | 165329 | 312 | 43.893 | 3766.6 |
729 | 2025-03-09 01:31:12 | preadapts | 2 | 121436 | 10 | 15.953 | 7612.1 |
728 | 2025-03-09 01:29:54 | preadapts | 1 | 81242 | 4 | 4.093 | 19849.0 |
727 | 2025-03-05 16:41:24 | preadapts | 3 | 148641 | 47 | 8.706 | 17073.4 |
726 | 2025-03-02 03:36:04 | preadapts | 1 | 81242 | 4 | 3.813 | 21306.6 |
725 | 2025-02-23 13:27:07 | preadapts | 3 | 148641 | 47 | 39.173 | 3794.5 |
724 | 2025-02-21 17:35:59 | preadapts | 3 | 148641 | 47 | 38.000 | 3911.6 |
723 | 2025-02-21 17:35:57 | preadapts | 2 | 121436 | 10 | 17.283 | 7026.3 |
722 | 2025-02-06 19:03:38 | preadapts | 1 | 81242 | 4 | 3.173 | 25604.2 |
721 | 2025-01-31 00:24:57 | preadapts | 3 | 148641 | 47 | 39.376 | 3774.9 |
720 | 2025-01-29 09:56:41 | preadapts | 3 | 148641 | 47 | 6.796 | 21871.8 |
719 | 2025-01-25 09:06:37 | preadapts | 2 | 121436 | 10 | 14.983 | 8104.9 |
718 | 2025-01-25 09:03:40 | preadapts | 1 | 81242 | 4 | 3.170 | 25628.4 |
717 | 2025-01-07 18:53:04 | preadapts | 1 | 81242 | 4 | 5.923 | 13716.4 |
716 | 2024-12-28 08:06:45 | preadapts | 3 | 148641 | 47 | 34.983 | 4248.9 |
715 | 2024-12-24 00:54:57 | preadapts | 3 | 148641 | 47 | 34.470 | 4312.2 |
714 | 2024-12-23 06:57:45 | preadapts | 2 | 121436 | 10 | 20.003 | 6070.9 |
713 | 2024-12-22 08:22:17 | preadapts | 3 | 148641 | 47 | 44.143 | 3367.3 |
712 | 2024-12-22 01:14:29 | preadapts | 1 | 81242 | 4 | 6.953 | 11684.5 |
711 | 2024-12-19 00:04:31 | preadapts | 3 | 148641 | 47 | 31.766 | 4679.2 |
710 | 2024-12-19 00:04:15 | preadapts | 2 | 121436 | 10 | 12.283 | 9886.5 |
709 | 2024-12-19 00:03:54 | preadapts | 1 | 81242 | 4 | 3.810 | 21323.4 |
708 | 2024-12-13 15:50:26 | preadapts | 2 | 121436 | 10 | 19.143 | 6343.6 |
707 | 2024-12-13 15:41:20 | preadapts | 1 | 81242 | 4 | 2.500 | 32496.8 |
706 | 2024-12-12 21:30:58 | preadapts | 4 | 165329 | 312 | 43.486 | 3801.9 |
705 | 2024-12-04 03:05:45 | preadapts | 1 | 81242 | 4 | 1.420 | 57212.7 |