History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"calfs"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
756 | 2025-08-27 01:09:54 | calfs | 1 | 28756 | 8 | 0.513 | 56054.6 |
755 | 2025-08-25 20:58:26 | calfs | 1 | 28756 | 8 | 2.610 | 11017.6 |
754 | 2025-08-10 22:29:09 | calfs | 1 | 28756 | 8 | 1.373 | 20943.9 |
753 | 2025-08-07 00:45:33 | calfs | 2 | 53800 | 196 | 8.033 | 6697.4 |
752 | 2025-07-31 17:49:48 | calfs | 1 | 28756 | 8 | 0.533 | 53951.2 |
751 | 2025-07-31 09:21:41 | calfs | 1 | 28756 | 8 | 2.296 | 12524.4 |
750 | 2025-07-31 06:07:01 | calfs | 2 | 53800 | 196 | 1.753 | 30690.2 |
749 | 2025-07-27 02:44:39 | calfs | 1 | 28756 | 8 | 1.233 | 23322.0 |
748 | 2025-07-24 06:33:19 | calfs | 1 | 28756 | 8 | 2.343 | 12273.2 |
747 | 2025-07-20 14:19:41 | calfs | 2 | 53800 | 196 | 1.643 | 32745.0 |
746 | 2025-07-19 23:27:20 | calfs | 1 | 28756 | 8 | 0.500 | 57512.0 |
745 | 2025-07-19 22:10:57 | calfs | 1 | 28756 | 8 | 0.533 | 53951.2 |
744 | 2025-07-15 20:02:35 | calfs | 1 | 28756 | 8 | 0.813 | 35370.2 |
743 | 2025-07-13 09:35:36 | calfs | 2 | 53800 | 196 | 1.796 | 29955.5 |
742 | 2025-07-09 21:42:58 | calfs | 1 | 28756 | 8 | 1.656 | 17364.7 |
741 | 2025-07-09 05:24:30 | calfs | 1 | 28756 | 8 | 2.656 | 10826.8 |
740 | 2025-07-08 00:16:21 | calfs | 1 | 28756 | 8 | 2.643 | 10880.1 |
739 | 2025-07-02 11:48:50 | calfs | 2 | 53800 | 196 | 4.346 | 12379.2 |
738 | 2025-07-02 07:58:12 | calfs | 1 | 28756 | 8 | 1.766 | 16283.1 |
737 | 2025-07-01 14:28:45 | calfs | 1 | 28756 | 8 | 0.470 | 61183.0 |
736 | 2025-06-24 15:31:20 | calfs | 1 | 28756 | 8 | 2.406 | 11951.8 |
735 | 2025-06-22 18:56:18 | calfs | 1 | 28756 | 8 | 0.530 | 54256.6 |
734 | 2025-06-22 07:02:57 | calfs | 1 | 28756 | 8 | 2.376 | 12102.7 |
733 | 2025-06-20 08:53:25 | calfs | 1 | 28756 | 8 | 2.123 | 13545.0 |
732 | 2025-06-18 11:57:54 | calfs | 2 | 53800 | 196 | 7.983 | 6739.3 |
731 | 2025-06-14 16:11:30 | calfs | 1 | 28756 | 8 | 2.110 | 13628.4 |
730 | 2025-06-14 02:09:37 | calfs | 1 | 28756 | 8 | 2.970 | 9682.2 |
729 | 2025-06-12 13:13:08 | calfs | 2 | 53800 | 196 | 4.186 | 12852.4 |
728 | 2025-06-10 04:07:36 | calfs | 1 | 28756 | 8 | 3.030 | 9490.4 |
727 | 2025-06-09 20:50:18 | calfs | 1 | 28756 | 8 | 1.390 | 20687.8 |
726 | 2025-06-02 07:27:14 | calfs | 1 | 28756 | 8 | 1.393 | 20643.2 |
725 | 2025-05-30 22:58:37 | calfs | 2 | 53800 | 196 | 5.686 | 9461.8 |
724 | 2025-05-30 07:56:47 | calfs | 1 | 28756 | 8 | 2.233 | 12877.7 |
723 | 2025-05-29 13:09:14 | calfs | 1 | 28756 | 8 | 2.720 | 10572.1 |
722 | 2025-05-23 18:58:00 | calfs | 2 | 53800 | 196 | 1.593 | 33772.8 |
721 | 2025-05-22 02:25:32 | calfs | 2 | 53800 | 196 | 12.203 | 4408.8 |
720 | 2025-05-21 15:16:23 | calfs | 1 | 28756 | 8 | 2.720 | 10572.1 |
719 | 2025-05-21 05:32:43 | calfs | 1 | 28756 | 8 | 0.450 | 63902.2 |
718 | 2025-05-19 03:47:27 | calfs | 2 | 53800 | 196 | 1.703 | 31591.3 |
717 | 2025-05-17 16:44:58 | calfs | 2 | 53800 | 196 | 1.450 | 37103.4 |
716 | 2025-05-16 06:40:11 | calfs | 1 | 28756 | 8 | 2.453 | 11722.8 |
715 | 2025-05-09 20:55:32 | calfs | 1 | 28756 | 8 | 2.376 | 12102.7 |
714 | 2025-05-08 17:45:43 | calfs | 1 | 28756 | 8 | 1.263 | 22768.0 |
713 | 2025-05-08 05:46:21 | calfs | 1 | 28756 | 8 | 2.173 | 13233.3 |
712 | 2025-05-08 05:35:29 | calfs | 1 | 28756 | 8 | 1.936 | 14853.3 |
711 | 2025-05-08 00:02:11 | calfs | 1 | 28756 | 8 | 2.546 | 11294.6 |
710 | 2025-05-05 22:46:43 | calfs | 1 | 28756 | 8 | 2.203 | 13053.1 |
709 | 2025-05-02 07:02:49 | calfs | 1 | 28756 | 8 | 2.856 | 10068.6 |
708 | 2025-04-30 14:48:22 | calfs | 1 | 28756 | 8 | 2.326 | 12362.9 |
707 | 2025-04-25 17:28:12 | calfs | 1 | 28756 | 8 | 0.826 | 34813.6 |
706 | 2025-04-17 15:11:46 | calfs | 1 | 28756 | 8 | 0.530 | 54256.6 |
705 | 2025-04-16 05:45:11 | calfs | 1 | 28756 | 8 | 1.110 | 25906.3 |
704 | 2025-04-12 17:45:23 | calfs | 1 | 28756 | 8 | 0.546 | 52666.7 |
703 | 2025-04-12 03:59:24 | calfs | 2 | 53800 | 196 | 13.233 | 4065.6 |
702 | 2025-04-11 01:36:57 | calfs | 1 | 28756 | 8 | 3.640 | 7900.0 |
701 | 2025-04-10 01:38:37 | calfs | 2 | 53800 | 196 | 1.670 | 32215.6 |
700 | 2025-04-08 21:07:59 | calfs | 1 | 28756 | 8 | 2.610 | 11017.6 |
699 | 2025-04-07 23:00:59 | calfs | 1 | 28756 | 8 | 3.763 | 7641.8 |
698 | 2025-03-29 17:06:24 | calfs | 1 | 28756 | 8 | 2.453 | 11722.8 |
697 | 2025-03-18 06:46:09 | calfs | 1 | 28756 | 8 | 0.940 | 30591.5 |
696 | 2025-03-18 04:15:23 | calfs | 1 | 28756 | 8 | 4.016 | 7160.4 |
695 | 2025-03-15 14:26:52 | calfs | 1 | 28756 | 8 | 1.643 | 17502.1 |
694 | 2025-03-10 23:07:20 | calfs | 1 | 28756 | 8 | 1.563 | 18398.0 |
693 | 2025-03-09 06:42:07 | calfs | 2 | 53800 | 196 | 8.360 | 6435.4 |
692 | 2025-03-08 20:49:13 | calfs | 2 | 53800 | 196 | 16.760 | 3210.0 |
691 | 2025-03-08 20:44:56 | calfs | 1 | 28756 | 8 | 0.453 | 63479.0 |
690 | 2025-03-07 16:39:10 | calfs | 1 | 28756 | 8 | 2.500 | 11502.4 |
689 | 2025-02-26 06:46:18 | calfs | 2 | 53800 | 196 | 8.970 | 5997.8 |
688 | 2025-02-26 06:04:18 | calfs | 1 | 28756 | 8 | 0.500 | 57512.0 |
687 | 2025-02-16 21:16:30 | calfs | 1 | 28756 | 8 | 1.250 | 23004.8 |
686 | 2025-02-05 11:47:40 | calfs | 2 | 53800 | 196 | 12.283 | 4380.0 |
685 | 2025-02-05 11:47:17 | calfs | 1 | 28756 | 8 | 3.920 | 7335.7 |
684 | 2025-02-05 01:01:35 | calfs | 2 | 53800 | 196 | 8.046 | 6686.6 |
683 | 2025-02-05 00:28:05 | calfs | 1 | 28756 | 8 | 0.453 | 63479.0 |
682 | 2025-01-26 17:53:31 | calfs | 2 | 53800 | 196 | 4.516 | 11913.2 |
681 | 2025-01-26 17:12:46 | calfs | 1 | 28756 | 8 | 0.500 | 57512.0 |
680 | 2025-01-06 04:13:10 | calfs | 1 | 28756 | 8 | 2.983 | 9640.0 |
679 | 2025-01-06 01:37:13 | calfs | 2 | 53800 | 196 | 7.393 | 7277.2 |
678 | 2025-01-05 23:03:50 | calfs | 2 | 53800 | 196 | 11.563 | 4652.8 |
677 | 2025-01-05 22:59:42 | calfs | 1 | 28756 | 8 | 0.563 | 51076.4 |
676 | 2024-12-27 12:54:36 | calfs | 2 | 53800 | 196 | 12.156 | 4425.8 |
675 | 2024-12-27 12:39:01 | calfs | 1 | 28756 | 8 | 0.530 | 54256.6 |
674 | 2024-12-20 05:14:40 | calfs | 1 | 28756 | 8 | 2.140 | 13437.4 |
673 | 2024-12-07 01:37:28 | calfs | 2 | 53800 | 196 | 8.173 | 6582.7 |
672 | 2024-12-07 01:17:09 | calfs | 1 | 28756 | 8 | 0.903 | 31845.0 |
671 | 2024-12-06 18:53:54 | calfs | 2 | 53800 | 196 | 3.753 | 14335.2 |
670 | 2024-12-06 18:53:27 | calfs | 1 | 28756 | 8 | 1.516 | 18968.3 |
669 | 2024-11-28 18:25:30 | calfs | 2 | 53800 | 196 | 3.953 | 13609.9 |
668 | 2024-11-27 20:14:56 | calfs | 2 | 53800 | 196 | 1.750 | 30742.9 |
667 | 2024-11-27 10:25:28 | calfs | 2 | 53800 | 196 | 7.483 | 7189.6 |
666 | 2024-11-27 08:54:06 | calfs | 1 | 28756 | 8 | 3.923 | 7330.1 |
665 | 2024-11-06 20:47:52 | calfs | 1 | 28756 | 8 | 2.500 | 11502.4 |
664 | 2024-11-06 12:09:14 | calfs | 2 | 53800 | 196 | 1.720 | 31279.1 |
663 | 2024-11-06 11:37:25 | calfs | 2 | 53800 | 196 | 7.063 | 7617.2 |
662 | 2024-11-06 11:36:12 | calfs | 1 | 28756 | 8 | 3.160 | 9100.0 |
661 | 2024-10-28 16:08:02 | calfs | 2 | 53800 | 196 | 6.700 | 8029.9 |
660 | 2024-10-28 08:11:10 | calfs | 2 | 53800 | 196 | 5.800 | 9275.9 |
659 | 2024-10-28 07:22:10 | calfs | 1 | 28756 | 8 | 0.560 | 51350.0 |
658 | 2024-10-07 21:42:42 | calfs | 1 | 28756 | 8 | 1.170 | 24577.8 |
657 | 2024-10-07 08:31:40 | calfs | 1 | 28756 | 8 | 0.793 | 36262.3 |