History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"coater"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
838 | 2025-09-25 02:50:57 | coater | 1 | 48755 | 17 | 4.123 | 11825.1 |
837 | 2025-09-25 02:50:46 | coater | 1 | 48755 | 17 | 1.856 | 26268.9 |
836 | 2025-09-25 02:50:40 | coater | 1 | 48755 | 17 | 1.953 | 24964.2 |
835 | 2025-09-25 02:50:32 | coater | 1 | 48755 | 17 | 2.076 | 23485.1 |
834 | 2025-09-21 01:50:47 | coater | 1 | 48755 | 17 | 0.843 | 57835.1 |
833 | 2025-09-20 05:58:52 | coater | 1 | 48755 | 17 | 0.843 | 57835.1 |
832 | 2025-09-16 21:55:24 | coater | 1 | 48755 | 17 | 0.890 | 54780.9 |
831 | 2025-09-14 07:05:19 | coater | 1 | 48755 | 17 | 0.936 | 52088.7 |
830 | 2025-09-13 14:17:12 | coater | 1 | 48755 | 17 | 0.860 | 56691.9 |
829 | 2025-09-10 06:25:24 | coater | 1 | 48755 | 17 | 0.876 | 55656.4 |
828 | 2025-09-06 23:34:08 | coater | 1 | 48755 | 17 | 0.890 | 54780.9 |
827 | 2025-09-06 18:13:49 | coater | 1 | 48755 | 17 | 0.783 | 62266.9 |
826 | 2025-09-06 09:39:35 | coater | 1 | 48755 | 17 | 0.783 | 62266.9 |
825 | 2025-09-03 16:21:28 | coater | 1 | 48755 | 17 | 0.876 | 55656.4 |
824 | 2025-08-31 09:11:27 | coater | 1 | 48755 | 17 | 0.876 | 55656.4 |
823 | 2025-08-28 01:53:00 | coater | 1 | 48755 | 17 | 0.780 | 62506.4 |
822 | 2025-08-27 18:51:29 | coater | 2 | 82551 | 229 | 2.576 | 32046.2 |
821 | 2025-08-27 09:29:46 | coater | 1 | 48755 | 17 | 0.813 | 59969.2 |
820 | 2025-08-27 06:42:47 | coater | 1 | 48755 | 17 | 0.810 | 60191.4 |
819 | 2025-08-25 17:32:38 | coater | 2 | 82551 | 229 | 6.453 | 12792.7 |
818 | 2025-08-24 18:19:59 | coater | 1 | 48755 | 17 | 1.673 | 29142.3 |
817 | 2025-08-24 12:46:45 | coater | 1 | 48755 | 17 | 0.890 | 54780.9 |
816 | 2025-08-23 09:18:16 | coater | 1 | 48755 | 17 | 4.236 | 11509.7 |
815 | 2025-08-18 00:49:59 | coater | 1 | 48755 | 17 | 0.830 | 58741.0 |
814 | 2025-08-14 16:34:27 | coater | 1 | 48755 | 17 | 0.873 | 55847.7 |
813 | 2025-08-09 03:53:51 | coater | 1 | 48755 | 17 | 3.936 | 12386.9 |
812 | 2025-08-07 22:44:41 | coater | 1 | 48755 | 17 | 0.860 | 56691.9 |
811 | 2025-08-05 00:50:13 | coater | 1 | 48755 | 17 | 3.986 | 12231.6 |
810 | 2025-07-30 15:43:48 | coater | 1 | 48755 | 17 | 1.923 | 25353.6 |
809 | 2025-07-29 04:21:20 | coater | 1 | 48755 | 17 | 1.860 | 26212.4 |
808 | 2025-07-27 08:06:58 | coater | 1 | 48755 | 17 | 1.796 | 27146.4 |
807 | 2025-07-26 22:44:21 | coater | 1 | 48755 | 17 | 3.313 | 14716.3 |
806 | 2025-07-24 01:01:32 | coater | 1 | 48755 | 17 | 1.796 | 27146.4 |
805 | 2025-07-23 09:31:24 | coater | 1 | 48755 | 17 | 6.153 | 7923.8 |
804 | 2025-07-23 02:06:13 | coater | 1 | 48755 | 17 | 4.890 | 9970.3 |
803 | 2025-07-22 21:01:32 | coater | 1 | 48755 | 17 | 3.016 | 16165.5 |
802 | 2025-07-22 05:20:15 | coater | 1 | 48755 | 17 | 0.890 | 54780.9 |
801 | 2025-07-19 20:10:52 | coater | 1 | 48755 | 17 | 0.783 | 62266.9 |
800 | 2025-07-12 15:40:18 | coater | 1 | 48755 | 17 | 3.033 | 16074.8 |
799 | 2025-07-12 05:12:40 | coater | 1 | 48755 | 17 | 0.796 | 61250.0 |
798 | 2025-07-09 08:40:24 | coater | 1 | 48755 | 17 | 0.936 | 52088.7 |
797 | 2025-07-09 00:49:30 | coater | 1 | 48755 | 17 | 4.093 | 11911.8 |
796 | 2025-07-08 21:06:45 | coater | 1 | 48755 | 17 | 0.846 | 57630.0 |
795 | 2025-07-07 03:58:09 | coater | 1 | 48755 | 17 | 5.423 | 8990.4 |
794 | 2025-07-04 18:27:58 | coater | 1 | 48755 | 17 | 0.923 | 52822.3 |
793 | 2025-06-30 18:50:06 | coater | 1 | 48755 | 17 | 2.063 | 23633.1 |
792 | 2025-06-30 09:06:10 | coater | 1 | 48755 | 17 | 4.423 | 11023.1 |
791 | 2025-06-28 20:09:17 | coater | 1 | 48755 | 17 | 0.783 | 62266.9 |
790 | 2025-06-25 21:01:27 | coater | 1 | 48755 | 17 | 2.046 | 23829.4 |
789 | 2025-06-25 02:53:17 | coater | 1 | 48755 | 17 | 8.203 | 5943.6 |
788 | 2025-06-08 08:36:19 | coater | 1 | 48755 | 17 | 2.296 | 21234.8 |
787 | 2025-06-08 00:28:07 | coater | 1 | 48755 | 17 | 4.373 | 11149.1 |
786 | 2025-06-07 06:20:39 | coater | 1 | 48755 | 17 | 4.436 | 10990.8 |
785 | 2025-06-06 03:58:48 | coater | 1 | 48755 | 17 | 4.063 | 11999.8 |
784 | 2025-06-03 00:46:48 | coater | 1 | 48755 | 17 | 4.216 | 11564.3 |
783 | 2025-05-31 17:38:37 | coater | 1 | 48755 | 17 | 2.500 | 19502.0 |
782 | 2025-05-31 01:52:06 | coater | 2 | 82551 | 229 | 12.766 | 6466.5 |
781 | 2025-05-30 10:16:32 | coater | 1 | 48755 | 17 | 4.390 | 11105.9 |
780 | 2025-05-28 15:08:00 | coater | 1 | 48755 | 17 | 2.220 | 21961.7 |
779 | 2025-05-28 09:43:30 | coater | 1 | 48755 | 17 | 0.906 | 53813.5 |
778 | 2025-05-22 02:16:24 | coater | 1 | 48755 | 17 | 2.000 | 24377.5 |
777 | 2025-05-21 14:19:00 | coater | 2 | 82551 | 229 | 2.500 | 33020.4 |
776 | 2025-05-19 10:10:41 | coater | 1 | 48755 | 17 | 0.890 | 54780.9 |
775 | 2025-05-14 01:16:31 | coater | 1 | 48755 | 17 | 3.923 | 12428.0 |
774 | 2025-05-12 06:13:48 | coater | 1 | 48755 | 17 | 2.500 | 19502.0 |
773 | 2025-05-09 19:50:46 | coater | 1 | 48755 | 17 | 4.063 | 11999.8 |
772 | 2025-05-08 00:12:03 | coater | 1 | 48755 | 17 | 4.330 | 11259.8 |
771 | 2025-05-05 03:26:39 | coater | 1 | 48755 | 17 | 1.296 | 37619.6 |
770 | 2025-05-03 04:01:21 | coater | 2 | 82551 | 229 | 13.216 | 6246.3 |
769 | 2025-05-03 01:05:33 | coater | 1 | 48755 | 17 | 3.953 | 12333.7 |
768 | 2025-05-01 04:16:21 | coater | 2 | 82551 | 229 | 12.203 | 6764.8 |
767 | 2025-05-01 00:45:39 | coater | 2 | 82551 | 229 | 13.170 | 6268.1 |
766 | 2025-04-29 23:59:34 | coater | 2 | 82551 | 229 | 12.266 | 6730.1 |
765 | 2025-04-29 17:33:26 | coater | 1 | 48755 | 17 | 0.890 | 54780.9 |
764 | 2025-04-29 12:09:42 | coater | 2 | 82551 | 229 | 17.936 | 4602.5 |
763 | 2025-04-19 09:19:49 | coater | 1 | 48755 | 17 | 0.763 | 63899.1 |
762 | 2025-04-18 17:11:08 | coater | 1 | 48755 | 17 | 1.670 | 29194.6 |
761 | 2025-04-07 23:39:55 | coater | 1 | 48755 | 17 | 0.940 | 51867.0 |
760 | 2025-04-04 03:41:16 | coater | 1 | 48755 | 17 | 4.673 | 10433.3 |
759 | 2025-04-03 00:09:47 | coater | 1 | 48755 | 17 | 0.843 | 57835.1 |
758 | 2025-03-31 04:53:51 | coater | 2 | 82551 | 229 | 15.940 | 5178.9 |
757 | 2025-03-29 19:43:01 | coater | 1 | 48755 | 17 | 4.516 | 10796.1 |
756 | 2025-03-29 10:32:09 | coater | 2 | 82551 | 229 | 11.500 | 7178.3 |
755 | 2025-03-28 09:01:12 | coater | 2 | 82551 | 229 | 2.156 | 38289.0 |
754 | 2025-03-25 01:03:03 | coater | 1 | 48755 | 17 | 2.593 | 18802.5 |
753 | 2025-03-23 07:41:24 | coater | 1 | 48755 | 17 | 2.173 | 22436.7 |
752 | 2025-03-22 06:11:05 | coater | 1 | 48755 | 17 | 2.876 | 16952.4 |
751 | 2025-03-19 11:38:15 | coater | 1 | 48755 | 17 | 0.750 | 65006.7 |
750 | 2025-03-17 19:27:02 | coater | 1 | 48755 | 17 | 5.716 | 8529.6 |
749 | 2025-03-07 19:52:56 | coater | 1 | 48755 | 17 | 3.720 | 13106.2 |
748 | 2025-03-05 13:49:26 | coater | 2 | 82551 | 229 | 14.126 | 5843.9 |
747 | 2025-03-04 10:47:33 | coater | 2 | 82551 | 229 | 13.500 | 6114.9 |
746 | 2025-03-04 10:46:31 | coater | 1 | 48755 | 17 | 4.376 | 11141.5 |
745 | 2025-03-03 06:46:15 | coater | 1 | 48755 | 17 | 3.266 | 14928.0 |
744 | 2025-02-26 06:52:38 | coater | 2 | 82551 | 229 | 7.890 | 10462.7 |
743 | 2025-02-25 18:44:09 | coater | 2 | 82551 | 229 | 14.283 | 5779.7 |
742 | 2025-02-25 18:43:58 | coater | 1 | 48755 | 17 | 2.453 | 19875.7 |
741 | 2025-02-17 09:50:37 | coater | 1 | 48755 | 17 | 2.466 | 19770.9 |
740 | 2025-01-31 21:27:40 | coater | 1 | 48755 | 17 | 3.200 | 15235.9 |
739 | 2025-01-28 10:32:38 | coater | 1 | 48755 | 17 | 4.453 | 10948.8 |