History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"brides"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
811 | 2025-09-08 04:00:03 | brides | 1 | 48755 | 15 | 0.873 | 55847.7 |
810 | 2025-09-06 17:02:37 | brides | 1 | 48755 | 15 | 0.766 | 63648.8 |
809 | 2025-09-04 20:59:28 | brides | 1 | 48755 | 15 | 0.843 | 57835.1 |
808 | 2025-09-03 12:48:35 | brides | 1 | 48755 | 15 | 0.860 | 56691.9 |
807 | 2025-09-02 12:02:33 | brides | 1 | 48755 | 15 | 0.766 | 63648.8 |
806 | 2025-09-01 13:37:50 | brides | 1 | 48755 | 15 | 1.580 | 30857.6 |
805 | 2025-08-29 05:56:26 | brides | 1 | 48755 | 15 | 0.860 | 56691.9 |
804 | 2025-08-25 23:00:35 | brides | 1 | 48755 | 15 | 0.733 | 66514.3 |
803 | 2025-08-22 14:46:25 | brides | 1 | 48755 | 15 | 1.716 | 28412.0 |
802 | 2025-08-15 21:28:02 | brides | 1 | 48755 | 15 | 0.843 | 57835.1 |
801 | 2025-08-14 00:02:57 | brides | 1 | 48755 | 15 | 0.860 | 56691.9 |
800 | 2025-08-09 10:43:43 | brides | 2 | 82551 | 208 | 7.500 | 11006.8 |
799 | 2025-08-07 09:49:26 | brides | 2 | 82551 | 208 | 7.846 | 10521.4 |
798 | 2025-08-05 05:13:27 | brides | 1 | 48755 | 15 | 2.123 | 22965.1 |
797 | 2025-08-02 06:16:35 | brides | 1 | 48755 | 15 | 2.016 | 24184.0 |
796 | 2025-07-31 02:15:53 | brides | 1 | 48755 | 15 | 2.170 | 22467.7 |
795 | 2025-07-30 03:08:14 | brides | 1 | 48755 | 15 | 1.890 | 25796.3 |
794 | 2025-07-24 14:03:07 | brides | 1 | 48755 | 15 | 1.766 | 27607.6 |
793 | 2025-07-22 21:21:09 | brides | 1 | 48755 | 15 | 5.890 | 8277.6 |
792 | 2025-07-20 01:40:22 | brides | 1 | 48755 | 15 | 0.763 | 63899.1 |
791 | 2025-07-19 00:18:10 | brides | 1 | 48755 | 15 | 0.796 | 61250.0 |
790 | 2025-07-16 18:08:20 | brides | 1 | 48755 | 15 | 0.830 | 58741.0 |
789 | 2025-07-13 10:08:12 | brides | 1 | 48755 | 15 | 1.300 | 37503.8 |
788 | 2025-07-06 17:59:55 | brides | 1 | 48755 | 15 | 0.846 | 57630.0 |
787 | 2025-07-04 18:51:14 | brides | 1 | 48755 | 15 | 1.593 | 30605.8 |
786 | 2025-07-03 15:12:06 | brides | 1 | 48755 | 15 | 1.140 | 42767.5 |
785 | 2025-07-03 09:53:34 | brides | 1 | 48755 | 15 | 0.750 | 65006.7 |
784 | 2025-06-28 13:04:46 | brides | 1 | 48755 | 15 | 3.576 | 13633.9 |
783 | 2025-06-18 02:33:51 | brides | 2 | 82551 | 208 | 19.063 | 4330.4 |
782 | 2025-06-17 07:12:19 | brides | 2 | 82551 | 208 | 2.876 | 28703.4 |
781 | 2025-06-14 23:45:09 | brides | 1 | 48755 | 15 | 0.843 | 57835.1 |
780 | 2025-06-06 00:07:22 | brides | 1 | 48755 | 15 | 3.970 | 12280.9 |
779 | 2025-06-04 08:15:19 | brides | 1 | 48755 | 15 | 3.686 | 13227.1 |
778 | 2025-06-01 11:56:17 | brides | 1 | 48755 | 15 | 2.063 | 23633.1 |
777 | 2025-05-31 05:58:49 | brides | 2 | 82551 | 208 | 11.766 | 7016.1 |
776 | 2025-05-30 18:08:27 | brides | 1 | 48755 | 15 | 0.843 | 57835.1 |
775 | 2025-05-30 15:41:50 | brides | 1 | 48755 | 15 | 1.860 | 26212.4 |
774 | 2025-05-30 13:19:52 | brides | 1 | 48755 | 15 | 1.793 | 27191.9 |
773 | 2025-05-29 01:17:19 | brides | 1 | 48755 | 15 | 1.813 | 26891.9 |
772 | 2025-05-28 18:30:54 | brides | 1 | 48755 | 15 | 1.703 | 28628.9 |
771 | 2025-05-28 08:18:47 | brides | 1 | 48755 | 15 | 0.873 | 55847.7 |
770 | 2025-05-22 20:02:32 | brides | 1 | 48755 | 15 | 6.516 | 7482.4 |
769 | 2025-05-12 17:14:18 | brides | 1 | 48755 | 15 | 2.140 | 22782.7 |
768 | 2025-05-06 01:29:08 | brides | 1 | 48755 | 15 | 4.093 | 11911.8 |
767 | 2025-05-06 00:55:13 | brides | 1 | 48755 | 15 | 5.813 | 8387.2 |
766 | 2025-05-03 07:48:32 | brides | 1 | 48755 | 15 | 4.063 | 11999.8 |
765 | 2025-05-01 04:06:50 | brides | 2 | 82551 | 208 | 10.533 | 7837.4 |
764 | 2025-04-28 01:32:15 | brides | 1 | 48755 | 15 | 1.580 | 30857.6 |
763 | 2025-04-19 09:54:51 | brides | 1 | 48755 | 15 | 0.890 | 54780.9 |
762 | 2025-04-13 02:49:08 | brides | 1 | 48755 | 15 | 0.890 | 54780.9 |
761 | 2025-04-08 04:37:42 | brides | 1 | 48755 | 15 | 0.750 | 65006.7 |
760 | 2025-04-06 00:36:46 | brides | 1 | 48755 | 15 | 4.200 | 11608.3 |
759 | 2025-03-30 09:05:13 | brides | 1 | 48755 | 15 | 0.826 | 59025.4 |
758 | 2025-03-27 03:17:15 | brides | 1 | 48755 | 15 | 2.143 | 22750.8 |
757 | 2025-03-14 16:12:56 | brides | 1 | 48755 | 15 | 1.750 | 27860.0 |
756 | 2025-03-13 13:01:17 | brides | 1 | 48755 | 15 | 2.220 | 21961.7 |
755 | 2025-03-12 08:22:34 | brides | 1 | 48755 | 15 | 4.126 | 11816.5 |
754 | 2025-03-07 16:06:05 | brides | 1 | 48755 | 15 | 5.140 | 9485.4 |
753 | 2025-03-06 22:32:31 | brides | 1 | 48755 | 15 | 3.906 | 12482.1 |
752 | 2025-03-03 18:07:35 | brides | 1 | 48755 | 15 | 2.936 | 16605.9 |
751 | 2025-02-27 18:01:21 | brides | 1 | 48755 | 15 | 4.000 | 12188.8 |
750 | 2025-02-24 22:46:12 | brides | 1 | 48755 | 15 | 4.810 | 10136.2 |
749 | 2025-02-21 02:46:08 | brides | 1 | 48755 | 15 | 4.373 | 11149.1 |
748 | 2025-02-14 13:06:22 | brides | 1 | 48755 | 15 | 3.813 | 12786.5 |
747 | 2025-02-06 05:40:11 | brides | 2 | 82551 | 208 | 13.596 | 6071.7 |
746 | 2025-02-04 23:25:51 | brides | 2 | 82551 | 208 | 10.576 | 7805.5 |
745 | 2025-02-04 19:56:50 | brides | 2 | 82551 | 208 | 14.986 | 5508.5 |
744 | 2025-02-04 12:01:03 | brides | 2 | 82551 | 208 | 6.656 | 12402.5 |
743 | 2025-02-04 12:00:56 | brides | 1 | 48755 | 15 | 3.906 | 12482.1 |
742 | 2025-01-31 20:52:42 | brides | 1 | 48755 | 15 | 3.266 | 14928.0 |
741 | 2025-01-25 19:25:05 | brides | 1 | 48755 | 15 | 2.140 | 22782.7 |
740 | 2025-01-15 15:11:51 | brides | 1 | 48755 | 15 | 3.686 | 13227.1 |
739 | 2025-01-05 11:02:11 | brides | 1 | 48755 | 15 | 3.920 | 12437.5 |
738 | 2025-01-01 12:56:02 | brides | 1 | 48755 | 15 | 3.970 | 12280.9 |
737 | 2024-12-26 14:29:00 | brides | 1 | 48755 | 15 | 3.000 | 16251.7 |
736 | 2024-12-06 09:42:01 | brides | 2 | 82551 | 208 | 10.126 | 8152.4 |
735 | 2024-12-06 06:11:52 | brides | 2 | 82551 | 208 | 10.766 | 7667.8 |
734 | 2024-12-06 06:11:49 | brides | 1 | 48755 | 15 | 2.576 | 18926.6 |
733 | 2024-12-02 11:49:42 | brides | 2 | 82551 | 208 | 12.156 | 6791.0 |
732 | 2024-12-02 11:48:44 | brides | 1 | 48755 | 15 | 0.936 | 52088.7 |
731 | 2024-11-26 06:57:40 | brides | 1 | 48755 | 15 | 4.343 | 11226.1 |
730 | 2024-11-08 20:18:41 | brides | 1 | 48755 | 15 | 3.970 | 12280.9 |
729 | 2024-11-07 09:18:51 | brides | 1 | 48755 | 15 | 2.423 | 20121.7 |
728 | 2024-11-06 06:28:23 | brides | 1 | 48755 | 15 | 4.940 | 9869.4 |
727 | 2024-11-03 20:45:26 | brides | 2 | 82551 | 208 | 10.283 | 8027.9 |
726 | 2024-11-03 15:15:00 | brides | 2 | 82551 | 208 | 17.546 | 4704.8 |
725 | 2024-11-01 04:34:00 | brides | 2 | 82551 | 208 | 9.126 | 9045.7 |
724 | 2024-11-01 02:18:39 | brides | 2 | 82551 | 208 | 12.203 | 6764.8 |
723 | 2024-11-01 02:18:11 | brides | 1 | 48755 | 15 | 3.953 | 12333.7 |
722 | 2024-10-26 04:49:18 | brides | 1 | 48755 | 15 | 4.123 | 11825.1 |
721 | 2024-10-08 02:48:32 | brides | 1 | 48755 | 15 | 9.360 | 5208.9 |
720 | 2024-10-07 06:16:27 | brides | 1 | 48755 | 15 | 4.890 | 9970.3 |
719 | 2024-10-01 22:22:11 | brides | 1 | 48755 | 15 | 8.780 | 5553.0 |
718 | 2024-09-26 01:33:51 | brides | 1 | 48755 | 15 | 6.190 | 7876.4 |
717 | 2024-09-22 06:58:52 | brides | 1 | 48755 | 15 | 5.876 | 8297.3 |
716 | 2024-09-09 23:23:18 | brides | 1 | 48755 | 15 | 3.326 | 14658.7 |
715 | 2024-09-02 17:14:26 | brides | 1 | 48755 | 15 | 6.373 | 7650.2 |
714 | 2024-09-01 04:58:16 | brides | 1 | 48755 | 15 | 6.173 | 7898.1 |
713 | 2024-08-30 01:53:19 | brides | 1 | 48755 | 15 | 3.153 | 15463.1 |
712 | 2024-08-26 17:00:04 | brides | 1 | 48755 | 15 | 6.406 | 7610.8 |