History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"prevalue"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 879 | 2025-11-28 22:01:16 | prevalue | 1 | 82945 | 4 | 1.500 | 55296.7 |
| 878 | 2025-11-28 02:29:54 | prevalue | 2 | 121059 | 10 | 3.736 | 32403.4 |
| 877 | 2025-11-27 15:19:50 | prevalue | 3 | 146162 | 74 | 9.313 | 15694.4 |
| 876 | 2025-11-23 15:40:58 | prevalue | 1 | 82945 | 4 | 1.440 | 57600.7 |
| 875 | 2025-11-23 10:04:30 | prevalue | 1 | 82945 | 4 | 1.423 | 58288.8 |
| 874 | 2025-11-23 00:44:04 | prevalue | 1 | 82945 | 4 | 3.220 | 25759.3 |
| 873 | 2025-11-21 14:24:06 | prevalue | 3 | 146162 | 74 | 8.610 | 16975.8 |
| 872 | 2025-11-21 08:56:18 | prevalue | 1 | 82945 | 4 | 3.606 | 23001.9 |
| 871 | 2025-11-20 02:06:53 | prevalue | 1 | 82945 | 4 | 1.406 | 58993.6 |
| 870 | 2025-11-19 22:04:10 | prevalue | 1 | 82945 | 4 | 4.966 | 16702.6 |
| 869 | 2025-11-18 23:33:05 | prevalue | 1 | 82945 | 4 | 1.376 | 60279.8 |
| 868 | 2025-11-18 20:47:43 | prevalue | 4 | 161609 | 643 | 53.363 | 3028.5 |
| 867 | 2025-11-17 11:01:56 | prevalue | 1 | 82945 | 4 | 1.470 | 56425.2 |
| 866 | 2025-11-17 05:03:57 | prevalue | 1 | 82945 | 4 | 1.486 | 55817.6 |
| 865 | 2025-11-12 17:24:42 | prevalue | 1 | 82945 | 4 | 1.326 | 62552.8 |
| 864 | 2025-11-07 16:22:14 | prevalue | 1 | 82945 | 4 | 1.330 | 62364.7 |
| 863 | 2025-11-07 15:24:13 | prevalue | 3 | 146162 | 74 | 7.390 | 19778.3 |
| 862 | 2025-11-01 08:35:03 | prevalue | 3 | 146162 | 74 | 7.483 | 19532.5 |
| 861 | 2025-10-30 11:33:21 | prevalue | 1 | 82945 | 4 | 1.406 | 58993.6 |
| 860 | 2025-10-29 00:41:27 | prevalue | 1 | 82945 | 4 | 1.470 | 56425.2 |
| 859 | 2025-10-27 04:19:30 | prevalue | 1 | 82945 | 4 | 1.500 | 55296.7 |
| 858 | 2025-10-25 09:23:38 | prevalue | 3 | 146162 | 74 | 9.580 | 15257.0 |
| 857 | 2025-10-23 14:59:05 | prevalue | 3 | 146162 | 74 | 26.846 | 5444.5 |
| 856 | 2025-10-19 23:02:35 | prevalue | 1 | 82945 | 4 | 1.516 | 54713.1 |
| 855 | 2025-10-19 06:35:59 | prevalue | 1 | 82945 | 4 | 1.390 | 59672.7 |
| 854 | 2025-10-19 00:30:29 | prevalue | 1 | 82945 | 4 | 1.560 | 53169.9 |
| 853 | 2025-10-14 13:38:47 | prevalue | 1 | 82945 | 4 | 1.453 | 57085.3 |
| 852 | 2025-10-13 18:37:45 | prevalue | 1 | 82945 | 4 | 1.453 | 57085.3 |
| 851 | 2025-10-12 16:27:44 | prevalue | 1 | 82945 | 4 | 1.610 | 51518.6 |
| 850 | 2025-10-10 20:39:15 | prevalue | 1 | 82945 | 4 | 1.376 | 60279.8 |
| 849 | 2025-09-28 11:17:08 | prevalue | 1 | 82945 | 4 | 1.486 | 55817.6 |
| 848 | 2025-09-28 10:13:46 | prevalue | 1 | 82945 | 4 | 1.360 | 60989.0 |
| 847 | 2025-09-27 22:47:39 | prevalue | 1 | 82945 | 4 | 1.423 | 58288.8 |
| 846 | 2025-09-27 05:14:04 | prevalue | 1 | 82945 | 4 | 1.330 | 62364.7 |
| 845 | 2025-09-16 10:42:46 | prevalue | 3 | 146162 | 74 | 13.233 | 11045.3 |
| 844 | 2025-09-15 20:36:57 | prevalue | 1 | 82945 | 4 | 1.393 | 59544.1 |
| 843 | 2025-09-15 04:24:00 | prevalue | 1 | 82945 | 4 | 1.483 | 55930.5 |
| 842 | 2025-09-12 00:46:52 | prevalue | 1 | 82945 | 4 | 1.670 | 49667.7 |
| 841 | 2025-09-11 21:30:10 | prevalue | 1 | 82945 | 4 | 1.580 | 52496.8 |
| 840 | 2025-09-01 09:35:29 | prevalue | 1 | 82945 | 4 | 1.343 | 61761.0 |
| 839 | 2025-08-28 19:08:12 | prevalue | 1 | 82945 | 4 | 1.420 | 58412.0 |
| 838 | 2025-08-28 10:35:54 | prevalue | 1 | 82945 | 4 | 1.530 | 54212.4 |
| 837 | 2025-08-28 10:11:05 | prevalue | 1 | 82945 | 4 | 1.486 | 55817.6 |
| 836 | 2025-08-27 22:53:16 | prevalue | 1 | 82945 | 4 | 2.420 | 34274.8 |
| 835 | 2025-08-27 11:46:03 | prevalue | 1 | 82945 | 4 | 1.516 | 54713.1 |
| 834 | 2025-08-27 09:03:00 | prevalue | 1 | 82945 | 4 | 3.530 | 23497.2 |
| 833 | 2025-08-26 16:57:27 | prevalue | 4 | 161609 | 643 | 10.953 | 14754.8 |
| 832 | 2025-08-26 14:46:49 | prevalue | 1 | 82945 | 4 | 1.533 | 54106.3 |
| 831 | 2025-08-26 12:38:48 | prevalue | 1 | 82945 | 4 | 1.530 | 54212.4 |
| 830 | 2025-08-18 18:24:14 | prevalue | 1 | 82945 | 4 | 1.453 | 57085.3 |
| 829 | 2025-08-04 00:11:58 | prevalue | 1 | 82945 | 4 | 5.016 | 16536.1 |
| 828 | 2025-08-01 02:18:51 | prevalue | 1 | 82945 | 4 | 9.766 | 8493.2 |
| 827 | 2025-07-28 00:39:20 | prevalue | 3 | 146162 | 74 | 27.016 | 5410.2 |
| 826 | 2025-07-27 11:54:23 | prevalue | 3 | 146162 | 74 | 26.300 | 5557.5 |
| 825 | 2025-07-27 10:31:27 | prevalue | 1 | 82945 | 4 | 3.923 | 21143.3 |
| 824 | 2025-07-27 09:15:30 | prevalue | 2 | 121059 | 10 | 9.060 | 13361.9 |
| 823 | 2025-07-25 21:17:55 | prevalue | 1 | 82945 | 4 | 1.576 | 52630.1 |
| 822 | 2025-07-25 09:31:24 | prevalue | 1 | 82945 | 4 | 3.266 | 25396.5 |
| 821 | 2025-07-25 09:29:01 | prevalue | 1 | 82945 | 4 | 3.033 | 27347.5 |
| 820 | 2025-07-24 18:00:45 | prevalue | 1 | 82945 | 4 | 6.283 | 13201.5 |
| 819 | 2025-07-21 21:13:18 | prevalue | 3 | 146162 | 74 | 6.796 | 21507.1 |
| 818 | 2025-07-20 13:51:58 | prevalue | 3 | 146162 | 74 | 7.343 | 19904.9 |
| 817 | 2025-07-16 10:29:11 | prevalue | 1 | 82945 | 4 | 3.406 | 24352.6 |
| 816 | 2025-07-09 06:09:55 | prevalue | 1 | 82945 | 4 | 1.856 | 44690.2 |
| 815 | 2025-07-07 23:29:53 | prevalue | 1 | 82945 | 4 | 7.406 | 11199.7 |
| 814 | 2025-06-24 10:17:01 | prevalue | 1 | 82945 | 4 | 6.826 | 12151.3 |
| 813 | 2025-06-19 01:21:54 | prevalue | 1 | 82945 | 4 | 1.330 | 62364.7 |
| 812 | 2025-06-16 11:36:45 | prevalue | 1 | 82945 | 4 | 6.936 | 11958.6 |
| 811 | 2025-06-16 01:34:11 | prevalue | 1 | 82945 | 4 | 5.360 | 15474.8 |
| 810 | 2025-06-15 12:52:56 | prevalue | 3 | 146162 | 74 | 13.893 | 10520.5 |
| 809 | 2025-06-13 12:02:51 | prevalue | 1 | 82945 | 4 | 1.500 | 55296.7 |
| 808 | 2025-06-13 10:08:37 | prevalue | 3 | 146162 | 74 | 22.513 | 6492.3 |
| 807 | 2025-06-11 09:40:38 | prevalue | 3 | 146162 | 74 | 7.143 | 20462.3 |
| 806 | 2025-06-11 01:08:39 | prevalue | 1 | 82945 | 4 | 6.690 | 12398.4 |
| 805 | 2025-06-04 10:27:35 | prevalue | 1 | 82945 | 4 | 5.640 | 14706.6 |
| 804 | 2025-05-28 09:45:10 | prevalue | 2 | 121059 | 10 | 3.716 | 32577.8 |
| 803 | 2025-05-26 22:28:04 | prevalue | 1 | 82945 | 4 | 5.563 | 14910.1 |
| 802 | 2025-05-24 00:51:20 | prevalue | 1 | 82945 | 4 | 3.283 | 25265.0 |
| 801 | 2025-05-22 11:25:22 | prevalue | 1 | 82945 | 4 | 6.983 | 11878.1 |
| 800 | 2025-05-20 10:18:37 | prevalue | 1 | 82945 | 4 | 5.936 | 13973.2 |
| 799 | 2025-05-18 19:49:41 | prevalue | 2 | 121059 | 10 | 3.843 | 31501.2 |
| 798 | 2025-05-16 15:50:05 | prevalue | 1 | 82945 | 4 | 4.860 | 17066.9 |
| 797 | 2025-05-16 11:31:09 | prevalue | 1 | 82945 | 4 | 7.436 | 11154.5 |
| 796 | 2025-05-15 15:51:26 | prevalue | 3 | 146162 | 74 | 7.360 | 19859.0 |
| 795 | 2025-05-14 21:04:31 | prevalue | 1 | 82945 | 4 | 1.486 | 55817.6 |
| 794 | 2025-05-09 22:39:05 | prevalue | 2 | 121059 | 10 | 12.700 | 9532.2 |
| 793 | 2025-05-09 01:15:53 | prevalue | 2 | 121059 | 10 | 9.986 | 12122.9 |
| 792 | 2025-05-08 05:11:20 | prevalue | 1 | 82945 | 4 | 3.330 | 24908.4 |
| 791 | 2025-05-03 23:49:42 | prevalue | 1 | 82945 | 4 | 10.780 | 7694.3 |
| 790 | 2025-05-03 06:49:40 | prevalue | 1 | 82945 | 4 | 4.226 | 19627.3 |
| 789 | 2025-05-02 17:30:24 | prevalue | 1 | 82945 | 4 | 1.593 | 52068.4 |
| 788 | 2025-04-28 20:32:33 | prevalue | 1 | 82945 | 4 | 1.466 | 56579.1 |
| 787 | 2025-04-26 17:40:35 | prevalue | 2 | 121059 | 10 | 25.250 | 4794.4 |
| 786 | 2025-04-23 19:48:46 | prevalue | 2 | 121059 | 10 | 16.580 | 7301.5 |
| 785 | 2025-04-21 07:42:23 | prevalue | 2 | 121059 | 10 | 12.340 | 9810.3 |
| 784 | 2025-04-17 15:54:43 | prevalue | 2 | 121059 | 10 | 3.343 | 36212.7 |
| 783 | 2025-03-29 22:12:38 | prevalue | 2 | 121059 | 10 | 19.066 | 6349.5 |
| 782 | 2025-03-29 12:17:33 | prevalue | 1 | 82945 | 4 | 6.703 | 12374.3 |
| 781 | 2025-03-29 00:52:09 | prevalue | 1 | 82945 | 4 | 6.890 | 12038.5 |
| 780 | 2025-03-27 18:51:13 | prevalue | 3 | 146162 | 74 | 37.986 | 3847.8 |