History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"weans"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 826 | 2026-02-25 17:47:57 | weans | 1 | 28756 | 14 | 0.483 | 59536.2 |
| 825 | 2026-02-25 14:00:26 | weans | 1 | 28756 | 14 | 1.013 | 28387.0 |
| 824 | 2026-02-25 04:56:46 | weans | 1 | 28756 | 14 | 0.513 | 56054.6 |
| 823 | 2026-02-24 02:36:21 | weans | 1 | 28756 | 14 | 0.470 | 61183.0 |
| 822 | 2026-02-23 13:03:46 | weans | 1 | 28756 | 14 | 0.563 | 51076.4 |
| 821 | 2026-02-23 08:46:20 | weans | 1 | 28756 | 14 | 0.453 | 63479.0 |
| 820 | 2026-02-22 19:09:08 | weans | 1 | 28756 | 14 | 0.953 | 30174.2 |
| 819 | 2026-02-22 16:40:56 | weans | 1 | 28756 | 14 | 0.453 | 63479.0 |
| 818 | 2026-02-22 11:18:45 | weans | 1 | 28756 | 14 | 0.453 | 63479.0 |
| 817 | 2026-02-22 01:08:26 | weans | 1 | 28756 | 14 | 0.470 | 61183.0 |
| 816 | 2026-02-21 23:58:15 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
| 815 | 2026-02-21 15:54:23 | weans | 2 | 53800 | 254 | 1.640 | 32804.9 |
| 814 | 2026-02-21 14:11:53 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
| 813 | 2026-02-20 14:21:20 | weans | 1 | 28756 | 14 | 0.750 | 38341.3 |
| 812 | 2026-02-20 12:23:40 | weans | 1 | 28756 | 14 | 1.046 | 27491.4 |
| 811 | 2026-02-20 06:07:50 | weans | 1 | 28756 | 14 | 0.450 | 63902.2 |
| 810 | 2026-02-19 10:45:14 | weans | 1 | 28756 | 14 | 0.450 | 63902.2 |
| 809 | 2026-02-18 21:15:29 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
| 808 | 2026-02-15 08:22:49 | weans | 1 | 28756 | 14 | 0.563 | 51076.4 |
| 807 | 2026-02-15 07:20:31 | weans | 1 | 28756 | 14 | 0.483 | 59536.2 |
| 806 | 2026-02-15 02:50:58 | weans | 1 | 28756 | 14 | 0.843 | 34111.5 |
| 805 | 2026-02-14 16:45:30 | weans | 1 | 28756 | 14 | 1.453 | 19790.8 |
| 804 | 2026-02-13 17:14:11 | weans | 1 | 28756 | 14 | 3.423 | 8400.8 |
| 803 | 2026-02-11 17:29:26 | weans | 1 | 28756 | 14 | 1.983 | 14501.3 |
| 802 | 2026-02-08 16:08:11 | weans | 1 | 28756 | 14 | 1.296 | 22188.3 |
| 801 | 2026-02-08 11:05:23 | weans | 1 | 28756 | 14 | 0.750 | 38341.3 |
| 800 | 2026-02-08 08:18:02 | weans | 1 | 28756 | 14 | 0.533 | 53951.2 |
| 799 | 2026-02-08 03:04:13 | weans | 1 | 28756 | 14 | 1.016 | 28303.1 |
| 798 | 2026-02-07 20:46:21 | weans | 1 | 28756 | 14 | 1.516 | 18968.3 |
| 797 | 2026-02-07 14:36:02 | weans | 1 | 28756 | 14 | 1.170 | 24577.8 |
| 796 | 2026-02-03 14:06:26 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
| 795 | 2026-01-30 20:12:35 | weans | 1 | 28756 | 14 | 0.516 | 55728.7 |
| 794 | 2026-01-29 20:55:54 | weans | 1 | 28756 | 14 | 0.516 | 55728.7 |
| 793 | 2026-01-29 17:14:05 | weans | 1 | 28756 | 14 | 2.500 | 11502.4 |
| 792 | 2026-01-26 08:23:09 | weans | 1 | 28756 | 14 | 0.483 | 59536.2 |
| 791 | 2026-01-24 22:31:20 | weans | 1 | 28756 | 14 | 0.560 | 51350.0 |
| 790 | 2026-01-19 16:38:44 | weans | 1 | 28756 | 14 | 1.000 | 28756.0 |
| 789 | 2026-01-13 20:23:36 | weans | 1 | 28756 | 14 | 0.483 | 59536.2 |
| 788 | 2026-01-11 03:12:13 | weans | 1 | 28756 | 14 | 1.283 | 22413.1 |
| 787 | 2026-01-08 12:18:14 | weans | 1 | 28756 | 14 | 0.656 | 43835.4 |
| 786 | 2026-01-08 00:20:23 | weans | 1 | 28756 | 14 | 0.533 | 53951.2 |
| 785 | 2026-01-07 07:31:35 | weans | 1 | 28756 | 14 | 0.563 | 51076.4 |
| 784 | 2026-01-04 21:05:22 | weans | 2 | 53800 | 254 | 1.610 | 33416.1 |
| 783 | 2026-01-04 21:05:07 | weans | 2 | 53800 | 254 | 1.750 | 30742.9 |
| 782 | 2026-01-02 12:09:51 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
| 781 | 2026-01-01 17:06:54 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
| 780 | 2025-12-31 00:11:19 | weans | 2 | 53800 | 254 | 1.516 | 35488.1 |
| 779 | 2025-12-28 02:03:23 | weans | 1 | 28756 | 14 | 0.513 | 56054.6 |
| 778 | 2025-12-27 15:42:19 | weans | 1 | 28756 | 14 | 0.513 | 56054.6 |
| 777 | 2025-12-27 04:11:03 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
| 776 | 2025-12-21 20:28:07 | weans | 1 | 28756 | 14 | 0.516 | 55728.7 |
| 775 | 2025-12-21 18:17:01 | weans | 1 | 28756 | 14 | 1.580 | 18200.0 |
| 774 | 2025-12-20 14:22:15 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
| 773 | 2025-12-20 03:50:37 | weans | 1 | 28756 | 14 | 0.533 | 53951.2 |
| 772 | 2025-12-19 10:41:07 | weans | 2 | 53800 | 254 | 7.610 | 7069.6 |
| 771 | 2025-12-18 18:11:48 | weans | 1 | 28756 | 14 | 1.016 | 28303.1 |
| 770 | 2025-12-16 18:08:21 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
| 769 | 2025-12-15 21:07:25 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
| 768 | 2025-12-15 08:20:36 | weans | 1 | 28756 | 14 | 0.530 | 54256.6 |
| 767 | 2025-12-08 23:49:33 | weans | 1 | 28756 | 14 | 0.546 | 52666.7 |
| 766 | 2025-12-03 21:49:59 | weans | 1 | 28756 | 14 | 0.546 | 52666.7 |
| 765 | 2025-12-02 14:04:18 | weans | 1 | 28756 | 14 | 0.450 | 63902.2 |
| 764 | 2025-11-28 03:11:07 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
| 763 | 2025-11-25 08:02:49 | weans | 2 | 53800 | 254 | 1.656 | 32487.9 |
| 762 | 2025-11-24 14:00:44 | weans | 1 | 28756 | 14 | 2.580 | 11145.7 |
| 761 | 2025-11-22 21:18:22 | weans | 1 | 28756 | 14 | 0.986 | 29164.3 |
| 760 | 2025-11-18 16:07:54 | weans | 1 | 28756 | 14 | 0.436 | 65954.1 |
| 759 | 2025-11-17 18:57:08 | weans | 1 | 28756 | 14 | 0.530 | 54256.6 |
| 758 | 2025-11-16 16:23:52 | weans | 2 | 53800 | 254 | 1.593 | 33772.8 |
| 757 | 2025-11-15 06:09:40 | weans | 1 | 28756 | 14 | 0.483 | 59536.2 |
| 756 | 2025-11-14 22:42:58 | weans | 1 | 28756 | 14 | 0.516 | 55728.7 |
| 755 | 2025-11-14 21:05:44 | weans | 1 | 28756 | 14 | 1.893 | 15190.7 |
| 754 | 2025-11-14 01:44:18 | weans | 1 | 28756 | 14 | 0.483 | 59536.2 |
| 753 | 2025-11-11 16:32:48 | weans | 1 | 28756 | 14 | 0.453 | 63479.0 |
| 752 | 2025-11-11 10:25:09 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
| 751 | 2025-11-11 06:11:43 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
| 750 | 2025-11-06 01:47:20 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
| 749 | 2025-11-05 18:55:05 | weans | 1 | 28756 | 14 | 0.580 | 49579.3 |
| 748 | 2025-11-03 15:07:29 | weans | 1 | 28756 | 14 | 0.546 | 52666.7 |
| 747 | 2025-10-31 12:51:44 | weans | 1 | 28756 | 14 | 0.483 | 59536.2 |
| 746 | 2025-10-30 16:16:07 | weans | 2 | 53800 | 254 | 1.593 | 33772.8 |
| 745 | 2025-10-30 12:21:43 | weans | 1 | 28756 | 14 | 2.656 | 10826.8 |
| 744 | 2025-10-30 09:05:31 | weans | 1 | 28756 | 14 | 0.546 | 52666.7 |
| 743 | 2025-10-22 07:46:00 | weans | 1 | 28756 | 14 | 1.513 | 19005.9 |
| 742 | 2025-10-19 10:36:38 | weans | 1 | 28756 | 14 | 1.170 | 24577.8 |
| 741 | 2025-10-19 10:36:32 | weans | 1 | 28756 | 14 | 0.673 | 42728.1 |
| 740 | 2025-10-16 21:34:05 | weans | 1 | 28756 | 14 | 0.736 | 39070.7 |
| 739 | 2025-10-16 11:00:34 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
| 738 | 2025-10-14 15:12:36 | weans | 1 | 28756 | 14 | 0.483 | 59536.2 |
| 737 | 2025-10-10 00:33:38 | weans | 1 | 28756 | 14 | 0.486 | 59168.7 |
| 736 | 2025-10-07 20:31:24 | weans | 1 | 28756 | 14 | 1.033 | 27837.4 |
| 735 | 2025-10-05 21:52:46 | weans | 1 | 28756 | 14 | 0.453 | 63479.0 |
| 734 | 2025-10-05 06:53:02 | weans | 1 | 28756 | 14 | 0.466 | 61708.2 |
| 733 | 2025-10-02 09:02:19 | weans | 1 | 28756 | 14 | 0.516 | 55728.7 |
| 732 | 2025-10-01 16:06:29 | weans | 2 | 53800 | 254 | 1.640 | 32804.9 |
| 731 | 2025-10-01 08:53:18 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
| 730 | 2025-09-29 21:33:28 | weans | 1 | 28756 | 14 | 0.546 | 52666.7 |
| 729 | 2025-09-24 11:58:34 | weans | 1 | 28756 | 14 | 0.453 | 63479.0 |
| 728 | 2025-09-19 00:54:02 | weans | 1 | 28756 | 14 | 0.440 | 65354.5 |
| 727 | 2025-09-13 17:21:47 | weans | 1 | 28756 | 14 | 0.486 | 59168.7 |