History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"peak"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 859 | 2025-10-28 13:23:25 | peak | 1 | 13983 | 19 | 0.220 | 63559.1 |
| 858 | 2025-10-26 17:58:44 | peak | 1 | 13983 | 19 | 0.266 | 52567.7 |
| 857 | 2025-10-25 19:11:25 | peak | 1 | 13983 | 19 | 0.220 | 63559.1 |
| 856 | 2025-10-24 06:42:06 | peak | 1 | 13983 | 19 | 0.263 | 53167.3 |
| 855 | 2025-10-23 10:21:58 | peak | 1 | 13983 | 19 | 1.923 | 7271.5 |
| 854 | 2025-10-19 13:36:18 | peak | 2 | 29872 | 259 | 0.970 | 30795.9 |
| 853 | 2025-10-19 12:52:36 | peak | 1 | 13983 | 19 | 0.796 | 17566.6 |
| 852 | 2025-10-19 12:52:33 | peak | 1 | 13983 | 19 | 0.500 | 27966.0 |
| 851 | 2025-10-19 12:52:30 | peak | 1 | 13983 | 19 | 0.266 | 52567.7 |
| 850 | 2025-10-19 12:52:26 | peak | 1 | 13983 | 19 | 0.890 | 15711.2 |
| 849 | 2025-10-15 20:02:16 | peak | 1 | 13983 | 19 | 0.250 | 55932.0 |
| 848 | 2025-10-11 19:43:54 | peak | 1 | 13983 | 19 | 0.250 | 55932.0 |
| 847 | 2025-10-11 14:53:14 | peak | 2 | 29872 | 259 | 0.906 | 32971.3 |
| 846 | 2025-09-28 06:07:49 | peak | 1 | 13983 | 19 | 0.220 | 63559.1 |
| 845 | 2025-09-27 21:38:46 | peak | 1 | 13983 | 19 | 0.266 | 52567.7 |
| 844 | 2025-09-26 11:25:15 | peak | 1 | 13983 | 19 | 0.236 | 59250.0 |
| 843 | 2025-09-26 03:25:06 | peak | 1 | 13983 | 19 | 0.233 | 60012.9 |
| 842 | 2025-09-25 21:14:00 | peak | 1 | 13983 | 19 | 1.313 | 10649.7 |
| 841 | 2025-09-25 11:51:19 | peak | 2 | 29872 | 259 | 0.893 | 33451.3 |
| 840 | 2025-09-25 09:47:44 | peak | 1 | 13983 | 19 | 0.653 | 21413.5 |
| 839 | 2025-09-23 17:52:25 | peak | 1 | 13983 | 19 | 0.220 | 63559.1 |
| 838 | 2025-09-23 17:51:46 | peak | 1 | 13983 | 19 | 0.233 | 60012.9 |
| 837 | 2025-09-22 00:30:00 | peak | 1 | 13983 | 19 | 0.250 | 55932.0 |
| 836 | 2025-09-20 08:48:00 | peak | 1 | 13983 | 19 | 0.216 | 64736.1 |
| 835 | 2025-09-15 10:51:47 | peak | 1 | 13983 | 19 | 0.266 | 52567.7 |
| 834 | 2025-09-15 01:12:50 | peak | 1 | 13983 | 19 | 0.250 | 55932.0 |
| 833 | 2025-09-12 23:37:03 | peak | 1 | 13983 | 19 | 0.250 | 55932.0 |
| 832 | 2025-09-10 12:33:31 | peak | 1 | 13983 | 19 | 0.250 | 55932.0 |
| 831 | 2025-09-03 07:03:24 | peak | 1 | 13983 | 19 | 0.233 | 60012.9 |
| 830 | 2025-08-28 05:52:01 | peak | 1 | 13983 | 19 | 0.266 | 52567.7 |
| 829 | 2025-08-25 00:39:44 | peak | 1 | 13983 | 19 | 1.220 | 11461.5 |
| 828 | 2025-08-19 08:48:14 | peak | 1 | 13983 | 19 | 1.013 | 13803.6 |
| 827 | 2025-08-09 13:00:26 | peak | 1 | 13983 | 19 | 1.126 | 12418.3 |
| 826 | 2025-08-01 07:54:54 | peak | 1 | 13983 | 19 | 1.220 | 11461.5 |
| 825 | 2025-07-30 21:22:03 | peak | 1 | 13983 | 19 | 0.670 | 20870.1 |
| 824 | 2025-07-30 19:44:35 | peak | 1 | 13983 | 19 | 0.216 | 64736.1 |
| 823 | 2025-07-27 07:08:47 | peak | 1 | 13983 | 19 | 0.953 | 14672.6 |
| 822 | 2025-07-26 15:36:13 | peak | 2 | 29872 | 259 | 4.393 | 6799.9 |
| 821 | 2025-07-25 01:33:49 | peak | 1 | 13983 | 19 | 0.530 | 26383.0 |
| 820 | 2025-07-22 23:39:40 | peak | 1 | 13983 | 19 | 0.563 | 24836.6 |
| 819 | 2025-07-22 22:47:09 | peak | 1 | 13983 | 19 | 0.313 | 44674.1 |
| 818 | 2025-07-22 22:06:57 | peak | 1 | 13983 | 19 | 1.123 | 12451.5 |
| 817 | 2025-07-22 18:53:14 | peak | 1 | 13983 | 19 | 1.080 | 12947.2 |
| 816 | 2025-07-21 21:51:59 | peak | 1 | 13983 | 19 | 0.250 | 55932.0 |
| 815 | 2025-07-17 11:05:44 | peak | 1 | 13983 | 19 | 1.766 | 7917.9 |
| 814 | 2025-07-10 19:33:58 | peak | 2 | 29872 | 259 | 3.203 | 9326.3 |
| 813 | 2025-07-10 09:17:54 | peak | 1 | 13983 | 19 | 1.766 | 7917.9 |
| 812 | 2025-07-09 12:38:01 | peak | 1 | 13983 | 19 | 0.233 | 60012.9 |
| 811 | 2025-06-30 04:59:53 | peak | 2 | 29872 | 259 | 3.920 | 7620.4 |
| 810 | 2025-06-30 03:02:47 | peak | 1 | 13983 | 19 | 1.313 | 10649.7 |
| 809 | 2025-06-29 23:14:49 | peak | 1 | 13983 | 19 | 0.953 | 14672.6 |
| 808 | 2025-06-28 21:49:52 | peak | 1 | 13983 | 19 | 0.296 | 47239.9 |
| 807 | 2025-06-28 20:45:31 | peak | 1 | 13983 | 19 | 0.266 | 52567.7 |
| 806 | 2025-06-28 08:53:00 | peak | 1 | 13983 | 19 | 0.533 | 26234.5 |
| 805 | 2025-06-23 20:14:05 | peak | 1 | 13983 | 19 | 1.826 | 7657.7 |
| 804 | 2025-06-17 21:35:35 | peak | 2 | 29872 | 259 | 4.080 | 7321.6 |
| 803 | 2025-06-17 09:15:03 | peak | 1 | 13983 | 19 | 0.266 | 52567.7 |
| 802 | 2025-06-11 06:10:24 | peak | 1 | 13983 | 19 | 0.530 | 26383.0 |
| 801 | 2025-06-10 05:55:57 | peak | 2 | 29872 | 259 | 2.970 | 10057.9 |
| 800 | 2025-06-09 12:28:49 | peak | 2 | 29872 | 259 | 3.936 | 7589.4 |
| 799 | 2025-06-08 13:00:04 | peak | 1 | 13983 | 19 | 1.393 | 10038.0 |
| 798 | 2025-05-31 06:44:24 | peak | 1 | 13983 | 19 | 0.576 | 24276.0 |
| 797 | 2025-05-30 21:24:27 | peak | 2 | 29872 | 259 | 3.173 | 9414.4 |
| 796 | 2025-05-30 15:14:22 | peak | 1 | 13983 | 19 | 0.720 | 19420.8 |
| 795 | 2025-05-30 09:39:21 | peak | 1 | 13983 | 19 | 0.673 | 20777.1 |
| 794 | 2025-05-30 04:12:08 | peak | 2 | 29872 | 259 | 0.873 | 34217.6 |
| 793 | 2025-05-29 05:55:38 | peak | 1 | 13983 | 19 | 0.766 | 18254.6 |
| 792 | 2025-05-28 21:33:23 | peak | 2 | 29872 | 259 | 2.530 | 11807.1 |
| 791 | 2025-05-28 20:25:35 | peak | 1 | 13983 | 19 | 0.890 | 15711.2 |
| 790 | 2025-05-25 13:08:27 | peak | 1 | 13983 | 19 | 0.250 | 55932.0 |
| 789 | 2025-05-16 01:37:12 | peak | 1 | 13983 | 19 | 1.280 | 10924.2 |
| 788 | 2025-05-15 15:12:10 | peak | 1 | 13983 | 19 | 1.546 | 9044.6 |
| 787 | 2025-05-12 06:03:51 | peak | 1 | 13983 | 19 | 0.970 | 14415.5 |
| 786 | 2025-05-11 03:41:53 | peak | 1 | 13983 | 19 | 0.826 | 16928.6 |
| 785 | 2025-05-09 14:35:13 | peak | 1 | 13983 | 19 | 1.356 | 10311.9 |
| 784 | 2025-05-09 10:39:23 | peak | 1 | 13983 | 19 | 0.263 | 53167.3 |
| 783 | 2025-05-08 23:54:30 | peak | 1 | 13983 | 19 | 0.250 | 55932.0 |
| 782 | 2025-05-08 13:18:33 | peak | 1 | 13983 | 19 | 0.280 | 49939.3 |
| 781 | 2025-04-29 23:06:22 | peak | 1 | 13983 | 19 | 1.140 | 12265.8 |
| 780 | 2025-04-29 09:24:43 | peak | 1 | 13983 | 19 | 0.893 | 15658.5 |
| 779 | 2025-04-27 20:49:23 | peak | 1 | 13983 | 19 | 1.610 | 8685.1 |
| 778 | 2025-04-27 09:30:13 | peak | 1 | 13983 | 19 | 0.266 | 52567.7 |
| 777 | 2025-04-23 12:38:07 | peak | 1 | 13983 | 19 | 0.953 | 14672.6 |
| 776 | 2025-04-16 08:02:23 | peak | 1 | 13983 | 19 | 0.686 | 20383.4 |
| 775 | 2025-04-16 00:20:57 | peak | 1 | 13983 | 19 | 1.313 | 10649.7 |
| 774 | 2025-04-08 04:26:27 | peak | 1 | 13983 | 19 | 1.673 | 8358.0 |
| 773 | 2025-04-06 13:00:43 | peak | 1 | 13983 | 19 | 0.703 | 19890.5 |
| 772 | 2025-04-06 05:28:00 | peak | 2 | 29872 | 259 | 2.173 | 13746.9 |
| 771 | 2025-04-06 01:05:55 | peak | 2 | 29872 | 259 | 4.593 | 6503.8 |
| 770 | 2025-04-04 21:21:27 | peak | 2 | 29872 | 259 | 6.483 | 4607.7 |
| 769 | 2025-03-31 01:12:00 | peak | 1 | 13983 | 19 | 1.360 | 10281.6 |
| 768 | 2025-03-29 08:41:04 | peak | 1 | 13983 | 19 | 1.670 | 8373.1 |
| 767 | 2025-03-26 21:52:12 | peak | 1 | 13983 | 19 | 1.046 | 13368.1 |
| 766 | 2025-03-23 03:03:23 | peak | 1 | 13983 | 19 | 1.280 | 10924.2 |
| 765 | 2025-03-21 19:58:53 | peak | 1 | 13983 | 19 | 1.390 | 10059.7 |
| 764 | 2025-03-21 04:45:08 | peak | 2 | 29872 | 259 | 4.123 | 7245.2 |
| 763 | 2025-03-19 23:42:53 | peak | 2 | 29872 | 259 | 2.296 | 13010.5 |
| 762 | 2025-03-19 08:28:29 | peak | 2 | 29872 | 259 | 0.830 | 35990.4 |
| 761 | 2025-03-18 23:28:46 | peak | 1 | 13983 | 19 | 0.233 | 60012.9 |
| 760 | 2025-03-16 04:32:48 | peak | 1 | 13983 | 19 | 0.686 | 20383.4 |