History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"accurate"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
807 | 2025-08-24 20:25:54 | accurate | 1 | 82945 | 1 | 6.593 | 12580.8 |
806 | 2025-08-24 13:02:54 | accurate | 1 | 82945 | 1 | 5.093 | 16286.1 |
805 | 2025-08-20 22:19:27 | accurate | 1 | 82945 | 1 | 4.406 | 18825.5 |
804 | 2025-08-09 10:11:24 | accurate | 1 | 82945 | 1 | 7.516 | 11035.8 |
803 | 2025-08-04 12:52:59 | accurate | 1 | 82945 | 1 | 7.296 | 11368.6 |
802 | 2025-08-01 15:59:09 | accurate | 1 | 82945 | 1 | 10.143 | 8177.6 |
801 | 2025-07-29 06:44:01 | accurate | 3 | 146162 | 123 | 26.313 | 5554.7 |
800 | 2025-07-29 06:38:58 | accurate | 2 | 121059 | 16 | 9.466 | 12788.8 |
799 | 2025-07-26 20:24:48 | accurate | 1 | 82945 | 1 | 6.233 | 13307.4 |
798 | 2025-07-24 01:14:41 | accurate | 1 | 82945 | 1 | 8.753 | 9476.2 |
797 | 2025-07-23 20:45:41 | accurate | 1 | 82945 | 1 | 10.563 | 7852.4 |
796 | 2025-07-23 01:48:54 | accurate | 2 | 121059 | 16 | 14.266 | 8485.8 |
795 | 2025-07-22 13:55:16 | accurate | 1 | 82945 | 1 | 3.940 | 21052.0 |
794 | 2025-07-17 21:14:26 | accurate | 3 | 146162 | 123 | 28.140 | 5194.1 |
793 | 2025-07-14 10:58:57 | accurate | 2 | 121059 | 16 | 16.076 | 7530.4 |
792 | 2025-07-14 06:41:19 | accurate | 3 | 146162 | 123 | 29.843 | 4897.7 |
791 | 2025-07-13 00:20:34 | accurate | 1 | 82945 | 1 | 1.893 | 43816.7 |
790 | 2025-07-06 21:31:00 | accurate | 1 | 82945 | 1 | 7.203 | 11515.3 |
789 | 2025-06-22 17:42:21 | accurate | 1 | 82945 | 1 | 6.750 | 12288.1 |
788 | 2025-06-22 03:06:53 | accurate | 1 | 82945 | 1 | 7.016 | 11822.3 |
787 | 2025-06-14 18:12:52 | accurate | 2 | 121059 | 16 | 15.250 | 7938.3 |
786 | 2025-06-14 14:17:55 | accurate | 2 | 121059 | 16 | 13.123 | 9224.9 |
785 | 2025-06-14 09:18:58 | accurate | 3 | 146162 | 123 | 31.373 | 4658.8 |
784 | 2025-06-12 20:50:09 | accurate | 1 | 82945 | 1 | 1.563 | 53067.8 |
783 | 2025-06-12 17:35:04 | accurate | 3 | 146162 | 123 | 7.876 | 18557.9 |
782 | 2025-06-10 21:53:37 | accurate | 3 | 146162 | 123 | 11.390 | 12832.5 |
781 | 2025-06-06 22:58:37 | accurate | 1 | 82945 | 1 | 1.436 | 57761.1 |
780 | 2025-06-03 23:28:47 | accurate | 1 | 82945 | 1 | 4.033 | 20566.6 |
779 | 2025-06-02 13:19:01 | accurate | 1 | 82945 | 1 | 7.453 | 11129.1 |
778 | 2025-05-30 16:37:58 | accurate | 1 | 82945 | 1 | 1.563 | 53067.8 |
777 | 2025-05-30 00:05:40 | accurate | 1 | 82945 | 1 | 1.500 | 55296.7 |
776 | 2025-05-29 10:03:00 | accurate | 1 | 82945 | 1 | 10.670 | 7773.7 |
775 | 2025-05-26 21:27:06 | accurate | 1 | 82945 | 1 | 5.703 | 14544.1 |
774 | 2025-05-20 12:07:15 | accurate | 1 | 82945 | 1 | 6.216 | 13343.8 |
773 | 2025-05-13 17:55:56 | accurate | 2 | 121059 | 16 | 3.936 | 30756.9 |
772 | 2025-05-11 20:38:06 | accurate | 1 | 82945 | 1 | 2.313 | 35860.4 |
771 | 2025-05-09 08:56:31 | accurate | 3 | 146162 | 123 | 11.486 | 12725.2 |
770 | 2025-05-08 16:38:06 | accurate | 1 | 82945 | 1 | 6.123 | 13546.5 |
769 | 2025-05-06 07:31:49 | accurate | 3 | 146162 | 123 | 23.203 | 6299.3 |
768 | 2025-05-02 12:54:37 | accurate | 1 | 82945 | 1 | 5.486 | 15119.4 |
767 | 2025-05-02 12:46:20 | accurate | 3 | 146162 | 123 | 31.626 | 4621.6 |
766 | 2025-05-01 17:45:20 | accurate | 3 | 146162 | 123 | 7.390 | 19778.3 |
765 | 2025-04-30 17:21:58 | accurate | 3 | 146162 | 123 | 37.706 | 3876.4 |
764 | 2025-04-30 14:09:19 | accurate | 1 | 82945 | 1 | 3.656 | 22687.4 |
763 | 2025-04-28 05:18:07 | accurate | 3 | 146162 | 123 | 23.660 | 6177.6 |
762 | 2025-04-22 23:01:16 | accurate | 1 | 82945 | 1 | 4.873 | 17021.3 |
761 | 2025-04-13 07:01:36 | accurate | 2 | 121059 | 16 | 4.063 | 29795.5 |
760 | 2025-04-08 21:39:18 | accurate | 1 | 82945 | 1 | 7.000 | 11849.3 |
759 | 2025-03-31 22:03:22 | accurate | 1 | 82945 | 1 | 4.266 | 19443.3 |
758 | 2025-03-29 16:05:52 | accurate | 1 | 82945 | 1 | 7.670 | 10814.2 |
757 | 2025-03-24 00:59:43 | accurate | 2 | 121059 | 16 | 26.673 | 4538.6 |
756 | 2025-03-21 23:06:37 | accurate | 1 | 82945 | 1 | 5.376 | 15428.8 |
755 | 2025-03-16 04:34:13 | accurate | 3 | 146162 | 123 | 32.093 | 4554.3 |
754 | 2025-03-15 11:05:13 | accurate | 2 | 121059 | 16 | 17.720 | 6831.8 |
753 | 2025-03-15 02:37:28 | accurate | 2 | 121059 | 16 | 19.250 | 6288.8 |
752 | 2025-03-14 17:34:37 | accurate | 3 | 146162 | 123 | 34.410 | 4247.7 |
751 | 2025-03-13 11:07:05 | accurate | 3 | 146162 | 123 | 37.330 | 3915.4 |
750 | 2025-03-12 17:25:24 | accurate | 3 | 146162 | 123 | 37.516 | 3896.0 |
749 | 2025-03-12 17:05:54 | accurate | 3 | 146162 | 123 | 31.393 | 4655.9 |
748 | 2025-03-12 17:05:51 | accurate | 2 | 121059 | 16 | 19.376 | 6247.9 |
747 | 2025-03-10 11:00:12 | accurate | 1 | 82945 | 1 | 3.796 | 21850.6 |
746 | 2025-03-05 18:05:38 | accurate | 1 | 82945 | 1 | 4.436 | 18698.2 |
745 | 2025-03-01 10:24:56 | accurate | 1 | 82945 | 1 | 7.250 | 11440.7 |
744 | 2025-02-01 14:09:30 | accurate | 1 | 82945 | 1 | 7.406 | 11199.7 |
743 | 2025-01-25 18:39:40 | accurate | 1 | 82945 | 1 | 5.046 | 16437.8 |
742 | 2025-01-25 06:21:51 | accurate | 1 | 82945 | 1 | 10.110 | 8204.3 |
741 | 2025-01-18 08:38:07 | accurate | 1 | 82945 | 1 | 7.033 | 11793.7 |
740 | 2025-01-05 11:51:10 | accurate | 1 | 82945 | 1 | 6.220 | 13335.2 |
739 | 2024-12-28 07:20:53 | accurate | 1 | 82945 | 1 | 7.143 | 11612.1 |
738 | 2024-12-05 21:44:46 | accurate | 1 | 82945 | 1 | 6.653 | 12467.3 |
737 | 2024-11-26 03:49:11 | accurate | 1 | 82945 | 1 | 6.906 | 12010.6 |
736 | 2024-11-21 01:29:58 | accurate | 1 | 82945 | 1 | 6.766 | 12259.1 |
735 | 2024-11-16 08:43:32 | accurate | 3 | 146162 | 123 | 40.126 | 3642.6 |
734 | 2024-11-16 02:58:46 | accurate | 3 | 146162 | 123 | 16.826 | 8686.7 |
733 | 2024-11-15 07:04:08 | accurate | 3 | 146162 | 123 | 34.610 | 4223.1 |
732 | 2024-11-14 08:48:05 | accurate | 3 | 146162 | 123 | 50.646 | 2886.0 |
731 | 2024-11-14 08:41:36 | accurate | 1 | 82945 | 1 | 5.843 | 14195.6 |
730 | 2024-11-03 21:45:10 | accurate | 2 | 121059 | 16 | 3.486 | 34727.2 |
729 | 2024-10-30 15:30:04 | accurate | 1 | 82945 | 1 | 7.563 | 10967.2 |
728 | 2024-10-29 10:20:04 | accurate | 2 | 121059 | 16 | 18.250 | 6633.4 |
727 | 2024-10-28 05:34:31 | accurate | 2 | 121059 | 16 | 14.093 | 8590.0 |
726 | 2024-10-26 00:01:28 | accurate | 2 | 121059 | 16 | 12.296 | 9845.4 |
725 | 2024-10-26 00:01:36 | accurate | 1 | 82945 | 1 | 3.830 | 21656.7 |
724 | 2024-10-18 21:31:40 | accurate | 1 | 82945 | 1 | 4.470 | 18555.9 |
723 | 2024-10-17 01:12:40 | accurate | 3 | 146162 | 123 | 34.766 | 4204.2 |
722 | 2024-10-14 10:09:33 | accurate | 3 | 146162 | 123 | 23.270 | 6281.1 |
721 | 2024-10-14 01:43:03 | accurate | 3 | 146162 | 123 | 21.720 | 6729.4 |
720 | 2024-10-13 01:17:04 | accurate | 3 | 146162 | 123 | 44.956 | 3251.2 |
719 | 2024-10-13 01:16:43 | accurate | 1 | 82945 | 1 | 7.000 | 11849.3 |
718 | 2024-09-25 16:13:50 | accurate | 1 | 82945 | 1 | 11.796 | 7031.6 |
717 | 2024-09-18 23:10:03 | accurate | 1 | 82945 | 1 | 10.640 | 7795.6 |
716 | 2024-09-13 02:21:03 | accurate | 3 | 146162 | 123 | 66.846 | 2186.5 |
715 | 2024-09-09 19:16:09 | accurate | 1 | 82945 | 1 | 16.530 | 5017.8 |
714 | 2024-09-09 14:13:10 | accurate | 3 | 146162 | 123 | 32.926 | 4439.1 |
713 | 2024-09-05 13:30:25 | accurate | 3 | 146162 | 123 | 68.176 | 2143.9 |
712 | 2024-09-04 02:49:40 | accurate | 3 | 146162 | 123 | 37.016 | 3948.6 |
711 | 2024-09-04 02:49:37 | accurate | 2 | 121059 | 16 | 18.813 | 6434.9 |
710 | 2024-09-03 21:49:49 | accurate | 3 | 146162 | 123 | 33.453 | 4369.2 |
709 | 2024-09-03 21:49:50 | accurate | 2 | 121059 | 16 | 27.263 | 4440.4 |
708 | 2024-09-03 21:49:28 | accurate | 1 | 82945 | 1 | 4.656 | 17814.6 |