History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"shah"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
791 | 2024-04-24 22:52:02 | shah | 1 | 13983 | 11 | 0.280 | 49939.3 |
790 | 2024-04-23 12:09:33 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 |
789 | 2024-04-18 13:55:58 | shah | 1 | 13983 | 11 | 0.296 | 47239.9 |
788 | 2024-04-04 23:38:52 | shah | 2 | 29872 | 225 | 0.936 | 31914.5 |
787 | 2024-04-04 23:38:49 | shah | 1 | 13983 | 11 | 0.266 | 52567.7 |
786 | 2024-04-04 23:38:43 | shah | 2 | 29872 | 225 | 0.830 | 35990.4 |
785 | 2024-04-04 23:38:39 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 |
784 | 2024-04-02 20:20:18 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 |
783 | 2024-03-30 19:34:15 | shah | 2 | 29872 | 225 | 1.033 | 28917.7 |
782 | 2024-03-30 18:59:35 | shah | 1 | 13983 | 11 | 0.546 | 25609.9 |
781 | 2024-03-10 03:55:41 | shah | 1 | 13983 | 11 | 0.826 | 16928.6 |
780 | 2024-03-05 21:59:30 | shah | 1 | 13983 | 11 | 0.546 | 25609.9 |
779 | 2024-03-05 20:58:47 | shah | 1 | 13983 | 11 | 0.233 | 60012.9 |
778 | 2024-03-02 17:14:11 | shah | 1 | 13983 | 11 | 0.313 | 44674.1 |
777 | 2024-02-03 00:34:26 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 |
776 | 2024-01-26 01:40:05 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 |
775 | 2024-01-21 13:00:56 | shah | 1 | 13983 | 11 | 0.233 | 60012.9 |
774 | 2023-12-27 19:03:44 | shah | 2 | 29872 | 225 | 0.763 | 39150.7 |
773 | 2023-12-11 22:58:45 | shah | 1 | 13983 | 11 | 0.233 | 60012.9 |
772 | 2023-12-03 11:02:17 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 |
771 | 2023-12-03 11:02:16 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 |
770 | 2023-11-25 01:41:12 | shah | 2 | 29872 | 225 | 0.796 | 37527.6 |
769 | 2023-11-21 17:44:20 | shah | 2 | 29872 | 225 | 0.780 | 38297.4 |
768 | 2023-11-09 08:23:01 | shah | 1 | 13983 | 11 | 0.233 | 60012.9 |
767 | 2023-11-09 06:51:04 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 |
766 | 2023-11-05 08:00:12 | shah | 2 | 29872 | 225 | 0.830 | 35990.4 |
765 | 2023-10-26 09:41:37 | shah | 1 | 13983 | 11 | 0.233 | 60012.9 |
764 | 2023-10-24 20:03:25 | shah | 1 | 13983 | 11 | 0.266 | 52567.7 |
763 | 2023-10-20 08:32:11 | shah | 1 | 13983 | 11 | 0.220 | 63559.1 |
762 | 2023-10-17 05:40:25 | shah | 1 | 13983 | 11 | 0.233 | 60012.9 |
761 | 2023-10-12 23:53:03 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 |
760 | 2023-10-04 11:28:46 | shah | 1 | 13983 | 11 | 0.203 | 68881.8 |
759 | 2023-09-30 16:23:10 | shah | 1 | 13983 | 11 | 0.483 | 28950.3 |
758 | 2023-09-29 11:15:50 | shah | 2 | 29872 | 225 | 0.876 | 34100.5 |
757 | 2023-09-27 09:21:52 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 |
756 | 2023-09-27 03:36:07 | shah | 2 | 29872 | 225 | 0.890 | 33564.0 |
755 | 2023-09-19 17:23:40 | shah | 1 | 13983 | 11 | 0.216 | 64736.1 |
754 | 2023-09-11 00:41:17 | shah | 1 | 13983 | 11 | 0.486 | 28771.6 |
753 | 2023-07-11 19:07:02 | shah | 1 | 13983 | 11 | 0.220 | 63559.1 |
752 | 2023-07-11 02:48:34 | shah | 2 | 29872 | 225 | 0.766 | 38997.4 |
751 | 2023-06-16 22:20:17 | shah | 1 | 13983 | 11 | 0.233 | 60012.9 |
750 | 2023-03-31 13:50:24 | shah | 1 | 13983 | 11 | 0.266 | 52567.7 |
749 | 2023-03-28 23:14:09 | shah | 2 | 29872 | 225 | 0.736 | 40587.0 |
748 | 2023-03-01 04:42:38 | shah | 1 | 13983 | 11 | 0.220 | 63559.1 |
747 | 2023-01-24 09:00:38 | shah | 2 | 29872 | 225 | 0.733 | 40753.1 |
746 | 2022-12-26 03:57:27 | shah | 2 | 29872 | 225 | 0.733 | 40753.1 |
745 | 2022-12-22 14:34:41 | shah | 2 | 29872 | 225 | 0.733 | 40753.1 |
744 | 2022-12-10 02:42:01 | shah | 2 | 29872 | 225 | 0.826 | 36164.6 |
743 | 2022-11-12 08:01:59 | shah | 1 | 13983 | 11 | 0.216 | 64736.1 |
742 | 2022-10-30 15:33:15 | shah | 2 | 29872 | 225 | 1.673 | 17855.3 |
741 | 2022-09-28 00:10:21 | shah | 1 | 13983 | 11 | 0.216 | 64736.1 |
740 | 2022-09-16 23:38:38 | shah | 2 | 29872 | 225 | 0.766 | 38997.4 |
739 | 2022-08-24 01:14:52 | shah | 2 | 29872 | 225 | 0.766 | 38997.4 |
738 | 2022-08-16 02:06:28 | shah | 1 | 13983 | 11 | 0.220 | 63559.1 |
737 | 2022-08-11 22:17:59 | shah | 1 | 13983 | 11 | 0.220 | 63559.1 |
736 | 2022-08-08 11:48:37 | shah | 1 | 13983 | 11 | 0.216 | 64736.1 |
735 | 2022-07-23 03:36:57 | shah | 1 | 13983 | 11 | 0.220 | 63559.1 |
734 | 2022-07-18 08:39:10 | shah | 1 | 13983 | 11 | 0.236 | 59250.0 |
733 | 2022-07-10 11:18:18 | shah | 1 | 13983 | 11 | 0.220 | 63559.1 |
732 | 2022-06-25 16:26:30 | shah | 1 | 13983 | 11 | 0.216 | 64736.1 |
731 | 2022-05-10 15:23:06 | shah | 1 | 13983 | 11 | 0.376 | 37188.8 |
730 | 2022-03-28 20:00:35 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 |
729 | 2022-03-21 11:50:05 | shah | 2 | 29872 | 225 | 1.033 | 28917.7 |
728 | 2022-02-02 23:24:05 | shah | 1 | 13983 | 11 | 0.220 | 63559.1 |
727 | 2022-01-31 19:48:09 | shah | 1 | 13983 | 11 | 0.216 | 64736.1 |
726 | 2021-12-14 12:38:13 | shah | 1 | 13983 | 11 | 0.266 | 52567.7 |
725 | 2021-12-11 13:09:49 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 |
724 | 2021-12-08 13:19:55 | shah | 2 | 29872 | 225 | 0.890 | 33564.0 |
723 | 2021-12-04 08:47:16 | shah | 2 | 29872 | 225 | 0.876 | 34100.5 |
722 | 2021-10-02 04:27:40 | shah | 1 | 13983 | 11 | 0.233 | 60012.9 |
721 | 2021-09-24 22:02:11 | shah | 2 | 29872 | 225 | 0.843 | 35435.3 |
720 | 2021-09-07 05:52:17 | shah | 1 | 13983 | 11 | 0.233 | 60012.9 |
719 | 2021-09-01 23:06:02 | shah | 1 | 13983 | 11 | 0.203 | 68881.8 |
718 | 2021-08-30 17:37:41 | shah | 1 | 13983 | 11 | 0.233 | 60012.9 |
717 | 2021-08-17 15:58:07 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 |
716 | 2021-08-16 22:42:39 | shah | 2 | 29872 | 225 | 0.750 | 39829.3 |
715 | 2021-08-15 11:40:44 | shah | 1 | 13983 | 11 | 0.233 | 60012.9 |
714 | 2021-06-06 07:19:07 | shah | 1 | 13983 | 11 | 0.233 | 60012.9 |
713 | 2021-06-03 02:34:55 | shah | 1 | 13983 | 11 | 0.266 | 52567.7 |
712 | 2021-05-31 02:47:16 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 |
711 | 2021-05-26 10:03:06 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 |
710 | 2021-05-12 19:51:00 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 |
709 | 2021-05-05 20:24:11 | shah | 1 | 13983 | 11 | 0.266 | 52567.7 |
708 | 2021-04-04 00:20:00 | shah | 1 | 13983 | 11 | 0.220 | 63559.1 |
707 | 2021-02-28 15:36:37 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 |
706 | 2021-02-18 16:01:59 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 |
705 | 2021-02-15 12:19:11 | shah | 1 | 13983 | 11 | 0.233 | 60012.9 |
704 | 2020-11-28 19:38:08 | shah | 1 | 13983 | 11 | 0.220 | 63559.1 |
703 | 2020-10-14 01:09:06 | shah | 1 | 13983 | 11 | 0.220 | 63559.1 |
702 | 2020-10-04 16:31:55 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 |
701 | 2020-08-28 17:49:01 | shah | 1 | 13983 | 11 | 0.220 | 63559.1 |
700 | 2020-08-25 14:30:57 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 |
699 | 2020-08-21 06:02:07 | shah | 1 | 13983 | 11 | 0.220 | 63559.1 |
698 | 2020-08-10 05:51:49 | shah | 1 | 13983 | 11 | 0.233 | 60012.9 |
697 | 2020-08-06 05:35:47 | shah | 1 | 13983 | 11 | 0.233 | 60012.9 |
696 | 2020-08-02 10:46:16 | shah | 1 | 13983 | 11 | 0.233 | 60012.9 |
695 | 2020-07-18 14:00:59 | shah | 1 | 13983 | 11 | 0.296 | 47239.9 |
694 | 2020-07-13 18:40:32 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 |
693 | 2020-05-24 05:07:32 | shah | 1 | 13983 | 11 | 0.236 | 59250.0 |
692 | 2020-05-12 17:10:06 | shah | 1 | 13983 | 11 | 0.220 | 63559.1 |