History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"spots"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 847 | 2025-10-30 01:20:42 | spots | 2 | 53800 | 237 | 3.126 | 17210.5 |
| 846 | 2025-10-29 17:04:05 | spots | 2 | 53800 | 237 | 1.453 | 37026.8 |
| 845 | 2025-10-29 15:52:31 | spots | 2 | 53800 | 237 | 1.656 | 32487.9 |
| 844 | 2025-10-29 10:53:38 | spots | 2 | 53800 | 237 | 1.720 | 31279.1 |
| 843 | 2025-10-29 10:29:01 | spots | 2 | 53800 | 237 | 1.733 | 31044.4 |
| 842 | 2025-10-29 09:16:04 | spots | 2 | 53800 | 237 | 1.856 | 28987.1 |
| 841 | 2025-10-28 11:44:33 | spots | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 840 | 2025-10-28 01:08:40 | spots | 2 | 53800 | 237 | 1.736 | 30990.8 |
| 839 | 2025-10-26 04:29:34 | spots | 1 | 28756 | 15 | 0.546 | 52666.7 |
| 838 | 2025-10-25 23:21:33 | spots | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 837 | 2025-10-25 15:14:04 | spots | 1 | 28756 | 15 | 0.596 | 48248.3 |
| 836 | 2025-10-19 00:33:20 | spots | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 835 | 2025-10-18 13:39:37 | spots | 1 | 28756 | 15 | 0.576 | 49923.6 |
| 834 | 2025-10-16 09:16:00 | spots | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 833 | 2025-10-11 13:57:40 | spots | 2 | 53800 | 237 | 1.626 | 33087.3 |
| 832 | 2025-10-06 02:11:21 | spots | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 831 | 2025-10-05 20:13:00 | spots | 1 | 28756 | 15 | 0.483 | 59536.2 |
| 830 | 2025-10-05 17:43:51 | spots | 1 | 28756 | 15 | 0.450 | 63902.2 |
| 829 | 2025-10-05 01:57:15 | spots | 1 | 28756 | 15 | 0.483 | 59536.2 |
| 828 | 2025-10-04 15:21:52 | spots | 1 | 28756 | 15 | 0.470 | 61183.0 |
| 827 | 2025-10-03 23:32:37 | spots | 1 | 28756 | 15 | 0.530 | 54256.6 |
| 826 | 2025-09-29 15:46:40 | spots | 2 | 53800 | 237 | 1.563 | 34421.0 |
| 825 | 2025-09-28 22:47:28 | spots | 1 | 28756 | 15 | 0.466 | 61708.2 |
| 824 | 2025-09-28 17:05:40 | spots | 2 | 53800 | 237 | 1.686 | 31909.8 |
| 823 | 2025-09-28 13:58:39 | spots | 2 | 53800 | 237 | 1.656 | 32487.9 |
| 822 | 2025-09-28 10:12:50 | spots | 2 | 53800 | 237 | 1.513 | 35558.5 |
| 821 | 2025-09-28 09:13:31 | spots | 2 | 53800 | 237 | 1.830 | 29398.9 |
| 820 | 2025-09-28 08:38:42 | spots | 2 | 53800 | 237 | 1.546 | 34799.5 |
| 819 | 2025-09-28 08:17:37 | spots | 2 | 53800 | 237 | 3.593 | 14973.6 |
| 818 | 2025-09-27 21:16:57 | spots | 2 | 53800 | 237 | 2.893 | 18596.6 |
| 817 | 2025-09-27 11:50:30 | spots | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 816 | 2025-09-27 01:01:51 | spots | 2 | 53800 | 237 | 1.596 | 33709.3 |
| 815 | 2025-09-25 04:54:15 | spots | 1 | 28756 | 15 | 1.360 | 21144.1 |
| 814 | 2025-09-23 15:26:10 | spots | 1 | 28756 | 15 | 0.466 | 61708.2 |
| 813 | 2025-09-17 13:45:17 | spots | 1 | 28756 | 15 | 0.530 | 54256.6 |
| 812 | 2025-09-15 10:03:45 | spots | 1 | 28756 | 15 | 0.513 | 56054.6 |
| 811 | 2025-09-15 09:32:29 | spots | 1 | 28756 | 15 | 0.453 | 63479.0 |
| 810 | 2025-09-12 13:36:08 | spots | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 809 | 2025-09-08 21:25:14 | spots | 2 | 53800 | 237 | 2.140 | 25140.2 |
| 808 | 2025-09-06 18:20:12 | spots | 1 | 28756 | 15 | 0.453 | 63479.0 |
| 807 | 2025-09-05 01:40:18 | spots | 1 | 28756 | 15 | 0.530 | 54256.6 |
| 806 | 2025-09-03 18:07:30 | spots | 1 | 28756 | 15 | 0.513 | 56054.6 |
| 805 | 2025-09-03 16:11:29 | spots | 1 | 28756 | 15 | 0.530 | 54256.6 |
| 804 | 2025-09-03 10:15:47 | spots | 1 | 28756 | 15 | 0.470 | 61183.0 |
| 803 | 2025-09-03 00:03:24 | spots | 1 | 28756 | 15 | 0.546 | 52666.7 |
| 802 | 2025-08-29 17:29:30 | spots | 2 | 53800 | 237 | 1.610 | 33416.1 |
| 801 | 2025-08-29 06:39:32 | spots | 2 | 53800 | 237 | 1.403 | 38346.4 |
| 800 | 2025-08-28 16:45:40 | spots | 2 | 53800 | 237 | 1.813 | 29674.6 |
| 799 | 2025-08-28 14:01:36 | spots | 2 | 53800 | 237 | 1.563 | 34421.0 |
| 798 | 2025-08-27 21:14:31 | spots | 2 | 53800 | 237 | 1.560 | 34487.2 |
| 797 | 2025-08-27 11:53:49 | spots | 1 | 28756 | 15 | 0.470 | 61183.0 |
| 796 | 2025-08-27 08:58:04 | spots | 2 | 53800 | 237 | 1.703 | 31591.3 |
| 795 | 2025-08-27 06:43:24 | spots | 2 | 53800 | 237 | 1.643 | 32745.0 |
| 794 | 2025-08-27 00:36:49 | spots | 2 | 53800 | 237 | 1.436 | 37465.2 |
| 793 | 2025-08-25 11:11:13 | spots | 2 | 53800 | 237 | 5.393 | 9975.9 |
| 792 | 2025-08-25 04:48:49 | spots | 1 | 28756 | 15 | 1.906 | 15087.1 |
| 791 | 2025-08-24 15:01:29 | spots | 1 | 28756 | 15 | 1.063 | 27051.7 |
| 790 | 2025-08-17 23:42:57 | spots | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 789 | 2025-08-12 17:07:50 | spots | 1 | 28756 | 15 | 1.233 | 23322.0 |
| 788 | 2025-08-01 03:30:10 | spots | 1 | 28756 | 15 | 1.220 | 23570.5 |
| 787 | 2025-07-31 16:03:37 | spots | 1 | 28756 | 15 | 0.843 | 34111.5 |
| 786 | 2025-07-30 02:47:08 | spots | 1 | 28756 | 15 | 1.920 | 14977.1 |
| 785 | 2025-07-29 14:23:52 | spots | 1 | 28756 | 15 | 1.733 | 16593.2 |
| 784 | 2025-07-27 12:13:43 | spots | 1 | 28756 | 15 | 0.936 | 30722.2 |
| 783 | 2025-07-24 21:09:16 | spots | 1 | 28756 | 15 | 1.013 | 28387.0 |
| 782 | 2025-07-24 03:45:30 | spots | 2 | 53800 | 237 | 8.203 | 6558.6 |
| 781 | 2025-07-22 15:01:13 | spots | 1 | 28756 | 15 | 2.466 | 11661.0 |
| 780 | 2025-07-21 23:37:54 | spots | 1 | 28756 | 15 | 0.436 | 65954.1 |
| 779 | 2025-07-14 11:28:52 | spots | 1 | 28756 | 15 | 1.706 | 16855.8 |
| 778 | 2025-07-11 16:07:22 | spots | 1 | 28756 | 15 | 3.660 | 7856.8 |
| 777 | 2025-07-07 22:11:58 | spots | 1 | 28756 | 15 | 2.846 | 10104.0 |
| 776 | 2025-07-03 11:45:52 | spots | 1 | 28756 | 15 | 2.360 | 12184.7 |
| 775 | 2025-07-01 09:25:40 | spots | 1 | 28756 | 15 | 0.766 | 37540.5 |
| 774 | 2025-06-14 10:29:47 | spots | 1 | 28756 | 15 | 1.610 | 17860.9 |
| 773 | 2025-06-11 21:29:37 | spots | 2 | 53800 | 237 | 6.640 | 8102.4 |
| 772 | 2025-06-11 14:01:49 | spots | 1 | 28756 | 15 | 0.716 | 40162.0 |
| 771 | 2025-06-11 04:36:27 | spots | 1 | 28756 | 15 | 1.736 | 16564.5 |
| 770 | 2025-06-03 15:41:47 | spots | 1 | 28756 | 15 | 2.266 | 12690.2 |
| 769 | 2025-06-02 11:48:38 | spots | 1 | 28756 | 15 | 2.330 | 12341.6 |
| 768 | 2025-06-01 14:19:56 | spots | 2 | 53800 | 237 | 7.706 | 6981.6 |
| 767 | 2025-06-01 14:11:26 | spots | 2 | 53800 | 237 | 1.736 | 30990.8 |
| 766 | 2025-06-01 09:41:59 | spots | 1 | 28756 | 15 | 4.096 | 7020.5 |
| 765 | 2025-05-31 14:55:00 | spots | 1 | 28756 | 15 | 3.470 | 8287.0 |
| 764 | 2025-05-30 20:51:44 | spots | 1 | 28756 | 15 | 1.296 | 22188.3 |
| 763 | 2025-05-28 11:40:12 | spots | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 762 | 2025-05-27 21:29:59 | spots | 1 | 28756 | 15 | 0.596 | 48248.3 |
| 761 | 2025-05-26 18:45:13 | spots | 1 | 28756 | 15 | 2.906 | 9895.4 |
| 760 | 2025-05-18 20:18:26 | spots | 1 | 28756 | 15 | 0.500 | 57512.0 |
| 759 | 2025-05-12 14:20:21 | spots | 2 | 53800 | 237 | 3.986 | 13497.2 |
| 758 | 2025-05-11 05:03:24 | spots | 1 | 28756 | 15 | 0.513 | 56054.6 |
| 757 | 2025-05-08 21:53:35 | spots | 1 | 28756 | 15 | 0.470 | 61183.0 |
| 756 | 2025-05-08 15:04:29 | spots | 1 | 28756 | 15 | 1.843 | 15602.8 |
| 755 | 2025-05-06 17:25:45 | spots | 2 | 53800 | 237 | 4.923 | 10928.3 |
| 754 | 2025-05-05 10:36:23 | spots | 2 | 53800 | 237 | 1.466 | 36698.5 |
| 753 | 2025-05-04 08:32:00 | spots | 1 | 28756 | 15 | 3.780 | 7607.4 |
| 752 | 2025-05-02 11:54:57 | spots | 1 | 28756 | 15 | 3.626 | 7930.5 |
| 751 | 2025-05-01 11:26:49 | spots | 1 | 28756 | 15 | 0.530 | 54256.6 |
| 750 | 2025-04-30 19:58:48 | spots | 1 | 28756 | 15 | 0.546 | 52666.7 |
| 749 | 2025-04-30 19:37:12 | spots | 1 | 28756 | 15 | 0.516 | 55728.7 |
| 748 | 2025-04-14 09:52:14 | spots | 1 | 28756 | 15 | 2.533 | 11352.5 |