History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"flaws"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 876 | 2025-11-02 07:39:34 | flaws | 1 | 28756 | 16 | 0.486 | 59168.7 |
| 875 | 2025-10-28 03:55:10 | flaws | 1 | 28756 | 16 | 0.483 | 59536.2 |
| 874 | 2025-10-26 04:40:43 | flaws | 1 | 28756 | 16 | 0.500 | 57512.0 |
| 873 | 2025-10-24 07:36:49 | flaws | 1 | 28756 | 16 | 0.500 | 57512.0 |
| 872 | 2025-10-24 06:26:37 | flaws | 1 | 28756 | 16 | 0.486 | 59168.7 |
| 871 | 2025-10-23 20:10:10 | flaws | 1 | 28756 | 16 | 4.016 | 7160.4 |
| 870 | 2025-10-23 20:10:06 | flaws | 1 | 28756 | 16 | 3.216 | 8941.5 |
| 869 | 2025-10-23 17:13:10 | flaws | 1 | 28756 | 16 | 1.203 | 23903.6 |
| 868 | 2025-10-23 11:11:50 | flaws | 1 | 28756 | 16 | 1.783 | 16127.9 |
| 867 | 2025-10-17 00:21:29 | flaws | 1 | 28756 | 16 | 0.436 | 65954.1 |
| 866 | 2025-09-25 04:35:32 | flaws | 1 | 28756 | 16 | 2.610 | 11017.6 |
| 865 | 2025-09-25 02:27:18 | flaws | 1 | 28756 | 16 | 0.513 | 56054.6 |
| 864 | 2025-09-21 06:39:55 | flaws | 2 | 53800 | 169 | 1.360 | 39558.8 |
| 863 | 2025-09-15 00:24:59 | flaws | 1 | 28756 | 16 | 0.483 | 59536.2 |
| 862 | 2025-09-14 14:57:50 | flaws | 1 | 28756 | 16 | 0.453 | 63479.0 |
| 861 | 2025-09-14 04:24:15 | flaws | 1 | 28756 | 16 | 0.516 | 55728.7 |
| 860 | 2025-09-01 10:03:54 | flaws | 1 | 28756 | 16 | 0.483 | 59536.2 |
| 859 | 2025-09-01 09:56:00 | flaws | 1 | 28756 | 16 | 0.500 | 57512.0 |
| 858 | 2025-08-27 12:46:56 | flaws | 1 | 28756 | 16 | 1.420 | 20250.7 |
| 857 | 2025-08-19 13:07:51 | flaws | 2 | 53800 | 169 | 3.783 | 14221.5 |
| 856 | 2025-08-19 11:28:36 | flaws | 1 | 28756 | 16 | 0.826 | 34813.6 |
| 855 | 2025-08-18 07:40:36 | flaws | 1 | 28756 | 16 | 0.483 | 59536.2 |
| 854 | 2025-08-17 01:37:16 | flaws | 1 | 28756 | 16 | 0.830 | 34645.8 |
| 853 | 2025-08-15 00:05:45 | flaws | 1 | 28756 | 16 | 1.953 | 14724.0 |
| 852 | 2025-08-09 03:35:04 | flaws | 1 | 28756 | 16 | 2.326 | 12362.9 |
| 851 | 2025-08-04 03:28:46 | flaws | 1 | 28756 | 16 | 1.093 | 26309.2 |
| 850 | 2025-08-01 18:01:55 | flaws | 1 | 28756 | 16 | 3.566 | 8063.9 |
| 849 | 2025-07-28 22:06:28 | flaws | 1 | 28756 | 16 | 1.893 | 15190.7 |
| 848 | 2025-07-27 14:48:48 | flaws | 1 | 28756 | 16 | 0.936 | 30722.2 |
| 847 | 2025-07-22 10:12:31 | flaws | 1 | 28756 | 16 | 0.513 | 56054.6 |
| 846 | 2025-07-19 22:19:03 | flaws | 1 | 28756 | 16 | 0.500 | 57512.0 |
| 845 | 2025-07-17 22:41:45 | flaws | 1 | 28756 | 16 | 1.170 | 24577.8 |
| 844 | 2025-07-17 16:17:34 | flaws | 1 | 28756 | 16 | 2.280 | 12612.3 |
| 843 | 2025-07-08 04:46:19 | flaws | 1 | 28756 | 16 | 1.156 | 24875.4 |
| 842 | 2025-07-06 18:35:39 | flaws | 1 | 28756 | 16 | 0.423 | 67981.1 |
| 841 | 2025-07-04 03:22:57 | flaws | 1 | 28756 | 16 | 2.126 | 13525.9 |
| 840 | 2025-07-02 20:46:04 | flaws | 1 | 28756 | 16 | 2.313 | 12432.3 |
| 839 | 2025-06-28 23:54:52 | flaws | 1 | 28756 | 16 | 0.483 | 59536.2 |
| 838 | 2025-06-16 12:07:37 | flaws | 1 | 28756 | 16 | 2.673 | 10757.9 |
| 837 | 2025-06-14 02:22:44 | flaws | 1 | 28756 | 16 | 2.906 | 9895.4 |
| 836 | 2025-06-10 21:55:19 | flaws | 2 | 53800 | 169 | 4.530 | 11876.4 |
| 835 | 2025-06-08 13:56:26 | flaws | 2 | 53800 | 169 | 4.000 | 13450.0 |
| 834 | 2025-06-08 04:37:16 | flaws | 1 | 28756 | 16 | 1.216 | 23648.0 |
| 833 | 2025-06-07 07:20:59 | flaws | 1 | 28756 | 16 | 0.500 | 57512.0 |
| 832 | 2025-06-05 11:38:28 | flaws | 1 | 28756 | 16 | 0.516 | 55728.7 |
| 831 | 2025-06-03 02:54:26 | flaws | 1 | 28756 | 16 | 1.030 | 27918.4 |
| 830 | 2025-06-02 16:30:48 | flaws | 1 | 28756 | 16 | 2.486 | 11567.2 |
| 829 | 2025-05-31 05:55:00 | flaws | 1 | 28756 | 16 | 2.953 | 9737.9 |
| 828 | 2025-05-31 05:48:54 | flaws | 1 | 28756 | 16 | 2.690 | 10690.0 |
| 827 | 2025-05-28 03:37:36 | flaws | 1 | 28756 | 16 | 0.483 | 59536.2 |
| 826 | 2025-05-23 05:37:25 | flaws | 1 | 28756 | 16 | 1.876 | 15328.4 |
| 825 | 2025-05-16 12:24:11 | flaws | 1 | 28756 | 16 | 0.983 | 29253.3 |
| 824 | 2025-05-14 02:09:23 | flaws | 1 | 28756 | 16 | 1.330 | 21621.1 |
| 823 | 2025-05-09 15:51:28 | flaws | 1 | 28756 | 16 | 0.500 | 57512.0 |
| 822 | 2025-05-08 04:22:10 | flaws | 1 | 28756 | 16 | 0.966 | 29768.1 |
| 821 | 2025-05-05 07:18:00 | flaws | 1 | 28756 | 16 | 0.500 | 57512.0 |
| 820 | 2025-05-05 02:58:08 | flaws | 1 | 28756 | 16 | 1.313 | 21901.0 |
| 819 | 2025-05-05 02:55:18 | flaws | 1 | 28756 | 16 | 0.436 | 65954.1 |
| 818 | 2025-05-03 03:12:01 | flaws | 1 | 28756 | 16 | 1.906 | 15087.1 |
| 817 | 2025-05-02 16:10:10 | flaws | 1 | 28756 | 16 | 1.376 | 20898.3 |
| 816 | 2025-04-30 17:00:36 | flaws | 1 | 28756 | 16 | 1.080 | 26625.9 |
| 815 | 2025-04-27 22:09:47 | flaws | 1 | 28756 | 16 | 0.940 | 30591.5 |
| 814 | 2025-04-27 06:21:06 | flaws | 1 | 28756 | 16 | 1.796 | 16011.1 |
| 813 | 2025-04-27 05:59:02 | flaws | 1 | 28756 | 16 | 0.470 | 61183.0 |
| 812 | 2025-04-22 14:21:10 | flaws | 1 | 28756 | 16 | 1.080 | 26625.9 |
| 811 | 2025-04-18 12:58:58 | flaws | 2 | 53800 | 169 | 4.003 | 13439.9 |
| 810 | 2025-04-16 01:07:20 | flaws | 2 | 53800 | 169 | 4.453 | 12081.7 |
| 809 | 2025-04-14 12:22:48 | flaws | 1 | 28756 | 16 | 1.826 | 15748.1 |
| 808 | 2025-04-12 01:38:19 | flaws | 1 | 28756 | 16 | 2.626 | 10950.5 |
| 807 | 2025-04-06 04:05:52 | flaws | 1 | 28756 | 16 | 2.063 | 13938.9 |
| 806 | 2025-04-04 07:32:11 | flaws | 1 | 28756 | 16 | 3.186 | 9025.7 |
| 805 | 2025-03-31 18:45:55 | flaws | 1 | 28756 | 16 | 2.623 | 10963.0 |
| 804 | 2025-03-17 10:27:19 | flaws | 2 | 53800 | 169 | 10.173 | 5288.5 |
| 803 | 2025-03-16 21:46:40 | flaws | 2 | 53800 | 169 | 10.923 | 4925.4 |
| 802 | 2025-03-16 15:49:27 | flaws | 2 | 53800 | 169 | 4.466 | 12046.6 |
| 801 | 2025-03-15 00:20:23 | flaws | 1 | 28756 | 16 | 1.860 | 15460.2 |
| 800 | 2025-03-12 17:48:14 | flaws | 1 | 28756 | 16 | 1.530 | 18794.8 |
| 799 | 2025-03-04 18:50:01 | flaws | 1 | 28756 | 16 | 2.376 | 12102.7 |
| 798 | 2025-03-03 14:09:07 | flaws | 1 | 28756 | 16 | 2.766 | 10396.2 |
| 797 | 2025-02-25 05:39:19 | flaws | 1 | 28756 | 16 | 1.423 | 20208.0 |
| 796 | 2025-02-25 04:22:32 | flaws | 2 | 53800 | 169 | 8.143 | 6606.9 |
| 795 | 2025-02-25 03:51:47 | flaws | 2 | 53800 | 169 | 7.453 | 7218.6 |
| 794 | 2025-02-21 05:54:43 | flaws | 2 | 53800 | 169 | 5.923 | 9083.2 |
| 793 | 2025-02-21 05:54:30 | flaws | 1 | 28756 | 16 | 1.156 | 24875.4 |
| 792 | 2025-02-20 03:19:37 | flaws | 1 | 28756 | 16 | 2.266 | 12690.2 |
| 791 | 2025-01-26 04:33:28 | flaws | 2 | 53800 | 169 | 5.813 | 9255.1 |
| 790 | 2025-01-26 04:07:42 | flaws | 1 | 28756 | 16 | 0.483 | 59536.2 |
| 789 | 2025-01-20 17:39:05 | flaws | 2 | 53800 | 169 | 2.046 | 26295.2 |
| 788 | 2025-01-20 17:39:00 | flaws | 1 | 28756 | 16 | 0.906 | 31739.5 |
| 787 | 2025-01-06 19:28:55 | flaws | 1 | 28756 | 16 | 0.970 | 29645.4 |
| 786 | 2025-01-06 11:59:16 | flaws | 1 | 28756 | 16 | 3.033 | 9481.0 |
| 785 | 2024-12-27 04:48:38 | flaws | 1 | 28756 | 16 | 2.123 | 13545.0 |
| 784 | 2024-12-27 04:11:48 | flaws | 2 | 53800 | 169 | 5.123 | 10501.7 |
| 783 | 2024-12-27 03:52:55 | flaws | 1 | 28756 | 16 | 0.500 | 57512.0 |
| 782 | 2024-12-21 02:07:16 | flaws | 2 | 53800 | 169 | 1.686 | 31909.8 |
| 781 | 2024-12-21 02:07:06 | flaws | 1 | 28756 | 16 | 0.440 | 65354.5 |
| 780 | 2024-12-07 00:15:47 | flaws | 1 | 28756 | 16 | 2.640 | 10892.4 |
| 779 | 2024-11-27 05:59:34 | flaws | 2 | 53800 | 169 | 3.763 | 14297.1 |
| 778 | 2024-11-27 04:15:37 | flaws | 2 | 53800 | 169 | 6.343 | 8481.8 |
| 777 | 2024-11-27 03:34:43 | flaws | 1 | 28756 | 16 | 0.483 | 59536.2 |