History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"swot"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 844 | 2025-10-30 06:23:05 | swot | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 843 | 2025-10-22 23:42:32 | swot | 1 | 13983 | 14 | 1.046 | 13368.1 |
| 842 | 2025-10-19 14:31:52 | swot | 2 | 29872 | 196 | 0.750 | 39829.3 |
| 841 | 2025-10-19 13:22:45 | swot | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 840 | 2025-10-12 11:43:51 | swot | 1 | 13983 | 14 | 0.233 | 60012.9 |
| 839 | 2025-10-07 12:17:55 | swot | 1 | 13983 | 14 | 0.233 | 60012.9 |
| 838 | 2025-09-29 22:32:15 | swot | 1 | 13983 | 14 | 0.236 | 59250.0 |
| 837 | 2025-09-25 02:10:54 | swot | 1 | 13983 | 14 | 1.530 | 9139.2 |
| 836 | 2025-09-21 22:35:20 | swot | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 835 | 2025-09-19 05:17:01 | swot | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 834 | 2025-09-04 10:30:40 | swot | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 833 | 2025-09-03 07:34:43 | swot | 1 | 13983 | 14 | 0.220 | 63559.1 |
| 832 | 2025-08-27 04:26:04 | swot | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 831 | 2025-08-27 02:20:03 | swot | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 830 | 2025-08-21 15:26:15 | swot | 1 | 13983 | 14 | 0.533 | 26234.5 |
| 829 | 2025-08-09 09:12:35 | swot | 1 | 13983 | 14 | 1.330 | 10513.5 |
| 828 | 2025-08-05 01:45:32 | swot | 1 | 13983 | 14 | 1.190 | 11750.4 |
| 827 | 2025-08-01 16:41:30 | swot | 2 | 29872 | 196 | 1.813 | 16476.6 |
| 826 | 2025-08-01 13:50:01 | swot | 1 | 13983 | 14 | 1.080 | 12947.2 |
| 825 | 2025-07-31 15:40:40 | swot | 1 | 13983 | 14 | 0.266 | 52567.7 |
| 824 | 2025-07-31 01:02:47 | swot | 1 | 13983 | 14 | 0.233 | 60012.9 |
| 823 | 2025-07-27 23:47:07 | swot | 2 | 29872 | 196 | 3.110 | 9605.1 |
| 822 | 2025-07-27 23:47:07 | swot | 2 | 29872 | 196 | 1.796 | 16632.5 |
| 821 | 2025-07-27 07:04:53 | swot | 2 | 29872 | 196 | 2.283 | 13084.5 |
| 820 | 2025-07-27 00:42:45 | swot | 2 | 29872 | 196 | 2.360 | 12657.6 |
| 819 | 2025-07-26 16:21:55 | swot | 1 | 13983 | 14 | 0.310 | 45106.5 |
| 818 | 2025-07-26 10:54:45 | swot | 2 | 29872 | 196 | 6.423 | 4650.8 |
| 817 | 2025-07-25 22:11:03 | swot | 2 | 29872 | 196 | 4.000 | 7468.0 |
| 816 | 2025-07-25 02:18:36 | swot | 1 | 13983 | 14 | 0.266 | 52567.7 |
| 815 | 2025-07-23 00:57:16 | swot | 1 | 13983 | 14 | 0.686 | 20383.4 |
| 814 | 2025-07-21 12:21:18 | swot | 1 | 13983 | 14 | 0.236 | 59250.0 |
| 813 | 2025-07-18 18:31:58 | swot | 1 | 13983 | 14 | 0.530 | 26383.0 |
| 812 | 2025-07-13 15:32:33 | swot | 1 | 13983 | 14 | 0.500 | 27966.0 |
| 811 | 2025-07-07 08:33:37 | swot | 1 | 13983 | 14 | 1.640 | 8526.2 |
| 810 | 2025-07-05 07:10:08 | swot | 1 | 13983 | 14 | 1.516 | 9223.6 |
| 809 | 2025-06-30 22:10:21 | swot | 1 | 13983 | 14 | 0.266 | 52567.7 |
| 808 | 2025-06-28 14:36:12 | swot | 1 | 13983 | 14 | 1.016 | 13762.8 |
| 807 | 2025-06-20 08:10:29 | swot | 1 | 13983 | 14 | 1.173 | 11920.7 |
| 806 | 2025-06-16 17:57:16 | swot | 1 | 13983 | 14 | 1.703 | 8210.8 |
| 805 | 2025-06-15 05:38:10 | swot | 1 | 13983 | 14 | 0.263 | 53167.3 |
| 804 | 2025-06-14 23:24:29 | swot | 1 | 13983 | 14 | 1.220 | 11461.5 |
| 803 | 2025-06-08 07:48:00 | swot | 2 | 29872 | 196 | 4.606 | 6485.5 |
| 802 | 2025-06-07 07:46:24 | swot | 1 | 13983 | 14 | 1.343 | 10411.8 |
| 801 | 2025-06-03 01:18:21 | swot | 1 | 13983 | 14 | 0.483 | 28950.3 |
| 800 | 2025-05-31 21:31:32 | swot | 1 | 13983 | 14 | 1.360 | 10281.6 |
| 799 | 2025-05-31 11:26:17 | swot | 1 | 13983 | 14 | 0.750 | 18644.0 |
| 798 | 2025-05-30 14:37:22 | swot | 1 | 13983 | 14 | 0.920 | 15198.9 |
| 797 | 2025-05-30 06:59:52 | swot | 1 | 13983 | 14 | 1.376 | 10162.1 |
| 796 | 2025-05-29 17:05:26 | swot | 1 | 13983 | 14 | 0.530 | 26383.0 |
| 795 | 2025-05-29 14:18:59 | swot | 1 | 13983 | 14 | 1.610 | 8685.1 |
| 794 | 2025-05-27 08:45:40 | swot | 1 | 13983 | 14 | 1.360 | 10281.6 |
| 793 | 2025-05-26 23:04:55 | swot | 1 | 13983 | 14 | 1.283 | 10898.7 |
| 792 | 2025-05-23 21:22:40 | swot | 1 | 13983 | 14 | 0.953 | 14672.6 |
| 791 | 2025-05-20 06:42:47 | swot | 1 | 13983 | 14 | 0.686 | 20383.4 |
| 790 | 2025-05-12 23:47:38 | swot | 1 | 13983 | 14 | 1.330 | 10513.5 |
| 789 | 2025-05-07 21:10:41 | swot | 1 | 13983 | 14 | 0.686 | 20383.4 |
| 788 | 2025-05-04 14:25:44 | swot | 1 | 13983 | 14 | 1.546 | 9044.6 |
| 787 | 2025-05-02 02:30:10 | swot | 1 | 13983 | 14 | 1.186 | 11790.1 |
| 786 | 2025-04-30 02:50:25 | swot | 2 | 29872 | 196 | 2.733 | 10930.1 |
| 785 | 2025-04-28 21:35:36 | swot | 1 | 13983 | 14 | 0.263 | 53167.3 |
| 784 | 2025-04-28 14:09:01 | swot | 1 | 13983 | 14 | 0.670 | 20870.1 |
| 783 | 2025-04-20 04:42:20 | swot | 1 | 13983 | 14 | 1.420 | 9847.2 |
| 782 | 2025-04-06 07:02:14 | swot | 1 | 13983 | 14 | 0.686 | 20383.4 |
| 781 | 2025-03-28 15:16:00 | swot | 1 | 13983 | 14 | 0.266 | 52567.7 |
| 780 | 2025-03-27 16:40:05 | swot | 1 | 13983 | 14 | 1.516 | 9223.6 |
| 779 | 2025-03-20 06:02:57 | swot | 1 | 13983 | 14 | 0.750 | 18644.0 |
| 778 | 2025-03-16 09:15:27 | swot | 1 | 13983 | 14 | 0.653 | 21413.5 |
| 777 | 2025-03-14 23:10:37 | swot | 1 | 13983 | 14 | 1.263 | 11071.3 |
| 776 | 2025-03-06 23:40:08 | swot | 1 | 13983 | 14 | 0.670 | 20870.1 |
| 775 | 2025-02-26 07:14:24 | swot | 2 | 29872 | 196 | 6.500 | 4595.7 |
| 774 | 2025-02-26 05:44:19 | swot | 1 | 13983 | 14 | 0.220 | 63559.1 |
| 773 | 2025-02-26 05:31:39 | swot | 2 | 29872 | 196 | 2.203 | 13559.7 |
| 772 | 2025-02-26 03:45:21 | swot | 2 | 29872 | 196 | 3.813 | 7834.3 |
| 771 | 2025-02-25 08:42:36 | swot | 1 | 13983 | 14 | 0.236 | 59250.0 |
| 770 | 2025-02-25 03:38:47 | swot | 1 | 13983 | 14 | 1.953 | 7159.8 |
| 769 | 2025-02-04 19:00:44 | swot | 2 | 29872 | 196 | 3.750 | 7965.9 |
| 768 | 2025-02-04 18:44:40 | swot | 1 | 13983 | 14 | 0.686 | 20383.4 |
| 767 | 2025-02-02 15:11:00 | swot | 1 | 13983 | 14 | 0.580 | 24108.6 |
| 766 | 2025-01-27 04:39:03 | swot | 2 | 29872 | 196 | 4.343 | 6878.2 |
| 765 | 2025-01-26 19:26:36 | swot | 2 | 29872 | 196 | 0.873 | 34217.6 |
| 764 | 2025-01-26 18:02:26 | swot | 2 | 29872 | 196 | 3.156 | 9465.1 |
| 763 | 2025-01-26 17:03:11 | swot | 1 | 13983 | 14 | 0.233 | 60012.9 |
| 762 | 2025-01-26 07:18:44 | swot | 1 | 13983 | 14 | 0.766 | 18254.6 |
| 761 | 2025-01-05 18:47:50 | swot | 2 | 29872 | 196 | 4.236 | 7051.9 |
| 760 | 2025-01-05 18:34:16 | swot | 1 | 13983 | 14 | 1.250 | 11186.4 |
| 759 | 2024-12-27 15:38:03 | swot | 2 | 29872 | 196 | 6.360 | 4696.9 |
| 758 | 2024-12-27 12:40:55 | swot | 1 | 13983 | 14 | 0.233 | 60012.9 |
| 757 | 2024-12-27 06:18:55 | swot | 1 | 13983 | 14 | 0.250 | 55932.0 |
| 756 | 2024-12-27 04:13:01 | swot | 2 | 29872 | 196 | 3.860 | 7738.9 |
| 755 | 2024-12-26 20:33:12 | swot | 2 | 29872 | 196 | 2.013 | 14839.5 |
| 754 | 2024-12-26 20:33:07 | swot | 1 | 13983 | 14 | 0.610 | 22923.0 |
| 753 | 2024-12-13 04:28:40 | swot | 2 | 29872 | 196 | 8.690 | 3437.5 |
| 752 | 2024-12-06 13:21:31 | swot | 2 | 29872 | 196 | 8.280 | 3607.7 |
| 751 | 2024-12-06 12:31:26 | swot | 1 | 13983 | 14 | 0.826 | 16928.6 |
| 750 | 2024-11-27 10:39:15 | swot | 2 | 29872 | 196 | 3.423 | 8726.8 |
| 749 | 2024-11-27 04:28:14 | swot | 2 | 29872 | 196 | 3.466 | 8618.6 |
| 748 | 2024-11-27 03:11:41 | swot | 1 | 13983 | 14 | 0.296 | 47239.9 |
| 747 | 2024-11-27 01:39:56 | swot | 1 | 13983 | 14 | 0.890 | 15711.2 |
| 746 | 2024-11-26 15:14:44 | swot | 1 | 13983 | 14 | 1.563 | 8946.3 |
| 745 | 2024-11-06 14:06:17 | swot | 2 | 29872 | 196 | 2.576 | 11596.3 |