History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"scaly"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 874 | 2026-03-01 14:11:46 | scaly | 1 | 28756 | 7 | 0.516 | 55728.7 |
| 873 | 2026-03-01 14:09:03 | scaly | 1 | 28756 | 7 | 0.466 | 61708.2 |
| 872 | 2026-02-26 21:17:04 | scaly | 1 | 28756 | 7 | 0.470 | 61183.0 |
| 871 | 2026-02-25 15:22:07 | scaly | 1 | 28756 | 7 | 0.500 | 57512.0 |
| 870 | 2026-02-23 09:05:01 | scaly | 1 | 28756 | 7 | 0.500 | 57512.0 |
| 869 | 2026-02-23 05:26:25 | scaly | 1 | 28756 | 7 | 0.560 | 51350.0 |
| 868 | 2026-02-23 00:49:18 | scaly | 1 | 28756 | 7 | 0.546 | 52666.7 |
| 867 | 2026-02-22 18:09:27 | scaly | 1 | 28756 | 7 | 0.580 | 49579.3 |
| 866 | 2026-02-22 13:42:35 | scaly | 1 | 28756 | 7 | 0.533 | 53951.2 |
| 865 | 2026-02-22 05:52:48 | scaly | 1 | 28756 | 7 | 0.500 | 57512.0 |
| 864 | 2026-02-20 20:31:50 | scaly | 1 | 28756 | 7 | 2.296 | 12524.4 |
| 863 | 2026-02-20 03:12:36 | scaly | 1 | 28756 | 7 | 0.513 | 56054.6 |
| 862 | 2026-02-17 10:44:09 | scaly | 1 | 28756 | 7 | 0.533 | 53951.2 |
| 861 | 2026-02-14 06:01:52 | scaly | 2 | 53800 | 130 | 1.750 | 30742.9 |
| 860 | 2026-02-13 13:22:17 | scaly | 1 | 28756 | 7 | 1.140 | 25224.6 |
| 859 | 2026-02-13 13:22:09 | scaly | 1 | 28756 | 7 | 3.393 | 8475.1 |
| 858 | 2026-02-08 08:22:38 | scaly | 1 | 28756 | 7 | 0.546 | 52666.7 |
| 857 | 2026-02-03 20:38:57 | scaly | 1 | 28756 | 7 | 0.513 | 56054.6 |
| 856 | 2026-01-27 03:55:34 | scaly | 1 | 28756 | 7 | 0.466 | 61708.2 |
| 855 | 2026-01-23 00:55:42 | scaly | 1 | 28756 | 7 | 2.843 | 10114.7 |
| 854 | 2026-01-21 17:59:55 | scaly | 1 | 28756 | 7 | 1.906 | 15087.1 |
| 853 | 2026-01-15 18:45:55 | scaly | 1 | 28756 | 7 | 0.530 | 54256.6 |
| 852 | 2026-01-09 04:47:37 | scaly | 1 | 28756 | 7 | 0.533 | 53951.2 |
| 851 | 2026-01-07 19:06:36 | scaly | 1 | 28756 | 7 | 0.530 | 54256.6 |
| 850 | 2025-12-28 08:02:47 | scaly | 1 | 28756 | 7 | 0.530 | 54256.6 |
| 849 | 2025-12-20 01:30:54 | scaly | 1 | 28756 | 7 | 2.326 | 12362.9 |
| 848 | 2025-12-13 22:49:20 | scaly | 1 | 28756 | 7 | 0.466 | 61708.2 |
| 847 | 2025-12-12 21:07:41 | scaly | 1 | 28756 | 7 | 0.500 | 57512.0 |
| 846 | 2025-12-10 20:31:46 | scaly | 1 | 28756 | 7 | 0.563 | 51076.4 |
| 845 | 2025-12-10 20:30:05 | scaly | 1 | 28756 | 7 | 0.533 | 53951.2 |
| 844 | 2025-12-10 20:29:50 | scaly | 1 | 28756 | 7 | 0.593 | 48492.4 |
| 843 | 2025-12-08 13:42:06 | scaly | 1 | 28756 | 7 | 0.453 | 63479.0 |
| 842 | 2025-12-08 03:30:07 | scaly | 1 | 28756 | 7 | 0.453 | 63479.0 |
| 841 | 2025-12-05 22:38:31 | scaly | 1 | 28756 | 7 | 0.530 | 54256.6 |
| 840 | 2025-12-04 06:54:02 | scaly | 1 | 28756 | 7 | 0.470 | 61183.0 |
| 839 | 2025-12-01 16:26:15 | scaly | 1 | 28756 | 7 | 0.560 | 51350.0 |
| 838 | 2025-11-29 01:32:24 | scaly | 1 | 28756 | 7 | 0.530 | 54256.6 |
| 837 | 2025-11-26 10:19:19 | scaly | 1 | 28756 | 7 | 0.563 | 51076.4 |
| 836 | 2025-11-20 19:23:48 | scaly | 1 | 28756 | 7 | 0.546 | 52666.7 |
| 835 | 2025-11-20 05:44:51 | scaly | 1 | 28756 | 7 | 0.516 | 55728.7 |
| 834 | 2025-11-20 01:04:23 | scaly | 1 | 28756 | 7 | 1.390 | 20687.8 |
| 833 | 2025-11-15 14:58:37 | scaly | 1 | 28756 | 7 | 0.500 | 57512.0 |
| 832 | 2025-11-10 11:06:50 | scaly | 1 | 28756 | 7 | 0.550 | 52283.6 |
| 831 | 2025-10-28 18:21:00 | scaly | 1 | 28756 | 7 | 0.470 | 61183.0 |
| 830 | 2025-10-26 19:17:54 | scaly | 1 | 28756 | 7 | 0.530 | 54256.6 |
| 829 | 2025-10-25 22:31:01 | scaly | 1 | 28756 | 7 | 0.530 | 54256.6 |
| 828 | 2025-10-24 13:38:02 | scaly | 1 | 28756 | 7 | 0.500 | 57512.0 |
| 827 | 2025-10-24 13:37:41 | scaly | 1 | 28756 | 7 | 0.513 | 56054.6 |
| 826 | 2025-10-24 11:21:35 | scaly | 1 | 28756 | 7 | 0.546 | 52666.7 |
| 825 | 2025-10-24 11:21:31 | scaly | 1 | 28756 | 7 | 0.453 | 63479.0 |
| 824 | 2025-10-24 10:04:44 | scaly | 1 | 28756 | 7 | 0.516 | 55728.7 |
| 823 | 2025-10-20 03:49:16 | scaly | 1 | 28756 | 7 | 1.063 | 27051.7 |
| 822 | 2025-10-16 20:17:38 | scaly | 1 | 28756 | 7 | 0.453 | 63479.0 |
| 821 | 2025-10-05 03:24:48 | scaly | 1 | 28756 | 7 | 0.516 | 55728.7 |
| 820 | 2025-09-26 20:27:44 | scaly | 1 | 28756 | 7 | 0.513 | 56054.6 |
| 819 | 2025-09-23 13:11:39 | scaly | 1 | 28756 | 7 | 0.500 | 57512.0 |
| 818 | 2025-09-16 11:23:08 | scaly | 1 | 28756 | 7 | 0.483 | 59536.2 |
| 817 | 2025-09-07 10:01:37 | scaly | 1 | 28756 | 7 | 0.470 | 61183.0 |
| 816 | 2025-08-29 00:45:07 | scaly | 1 | 28756 | 7 | 0.563 | 51076.4 |
| 815 | 2025-08-26 13:17:31 | scaly | 1 | 28756 | 7 | 0.780 | 36866.7 |
| 814 | 2025-08-26 07:06:47 | scaly | 1 | 28756 | 7 | 0.500 | 57512.0 |
| 813 | 2025-08-18 00:21:31 | scaly | 1 | 28756 | 7 | 2.330 | 12341.6 |
| 812 | 2025-08-13 10:51:59 | scaly | 1 | 28756 | 7 | 1.906 | 15087.1 |
| 811 | 2025-08-09 03:41:15 | scaly | 1 | 28756 | 7 | 1.953 | 14724.0 |
| 810 | 2025-08-06 12:44:54 | scaly | 1 | 28756 | 7 | 3.703 | 7765.6 |
| 809 | 2025-08-04 18:41:14 | scaly | 2 | 53800 | 130 | 4.203 | 12800.4 |
| 808 | 2025-08-04 13:20:41 | scaly | 1 | 28756 | 7 | 2.190 | 13130.6 |
| 807 | 2025-08-04 06:07:04 | scaly | 1 | 28756 | 7 | 1.046 | 27491.4 |
| 806 | 2025-08-03 05:23:52 | scaly | 1 | 28756 | 7 | 0.453 | 63479.0 |
| 805 | 2025-08-02 05:17:57 | scaly | 2 | 53800 | 130 | 8.483 | 6342.1 |
| 804 | 2025-07-31 12:50:12 | scaly | 1 | 28756 | 7 | 0.513 | 56054.6 |
| 803 | 2025-07-31 11:23:07 | scaly | 1 | 28756 | 7 | 0.453 | 63479.0 |
| 802 | 2025-07-29 00:40:22 | scaly | 1 | 28756 | 7 | 2.983 | 9640.0 |
| 801 | 2025-07-27 09:58:16 | scaly | 1 | 28756 | 7 | 1.110 | 25906.3 |
| 800 | 2025-07-24 17:48:04 | scaly | 1 | 28756 | 7 | 2.240 | 12837.5 |
| 799 | 2025-07-24 06:31:29 | scaly | 1 | 28756 | 7 | 2.406 | 11951.8 |
| 798 | 2025-07-23 16:36:40 | scaly | 1 | 28756 | 7 | 1.220 | 23570.5 |
| 797 | 2025-07-23 07:16:14 | scaly | 1 | 28756 | 7 | 1.220 | 23570.5 |
| 796 | 2025-07-22 16:50:23 | scaly | 1 | 28756 | 7 | 1.123 | 25606.4 |
| 795 | 2025-07-22 04:41:05 | scaly | 1 | 28756 | 7 | 0.466 | 61708.2 |
| 794 | 2025-07-18 23:56:23 | scaly | 1 | 28756 | 7 | 0.516 | 55728.7 |
| 793 | 2025-07-13 15:30:19 | scaly | 1 | 28756 | 7 | 1.046 | 27491.4 |
| 792 | 2025-07-12 10:16:22 | scaly | 1 | 28756 | 7 | 0.533 | 53951.2 |
| 791 | 2025-07-12 08:51:48 | scaly | 1 | 28756 | 7 | 0.486 | 59168.7 |
| 790 | 2025-07-08 02:34:14 | scaly | 1 | 28756 | 7 | 1.670 | 17219.2 |
| 789 | 2025-07-04 18:27:31 | scaly | 1 | 28756 | 7 | 0.546 | 52666.7 |
| 788 | 2025-07-04 13:08:40 | scaly | 1 | 28756 | 7 | 1.330 | 21621.1 |
| 787 | 2025-07-04 05:36:24 | scaly | 1 | 28756 | 7 | 0.970 | 29645.4 |
| 786 | 2025-06-30 18:42:06 | scaly | 1 | 28756 | 7 | 2.313 | 12432.3 |
| 785 | 2025-06-23 00:15:44 | scaly | 1 | 28756 | 7 | 0.516 | 55728.7 |
| 784 | 2025-06-21 20:59:16 | scaly | 1 | 28756 | 7 | 3.000 | 9585.3 |
| 783 | 2025-06-04 05:23:55 | scaly | 1 | 28756 | 7 | 2.390 | 12031.8 |
| 782 | 2025-05-31 17:36:23 | scaly | 1 | 28756 | 7 | 2.580 | 11145.7 |
| 781 | 2025-05-30 08:38:27 | scaly | 1 | 28756 | 7 | 1.420 | 20250.7 |
| 780 | 2025-05-17 23:59:53 | scaly | 2 | 53800 | 130 | 11.000 | 4890.9 |
| 779 | 2025-05-17 13:22:06 | scaly | 1 | 28756 | 7 | 0.906 | 31739.5 |
| 778 | 2025-05-16 08:09:44 | scaly | 1 | 28756 | 7 | 1.560 | 18433.3 |
| 777 | 2025-05-14 23:37:11 | scaly | 1 | 28756 | 7 | 0.703 | 40904.7 |
| 776 | 2025-05-08 02:13:24 | scaly | 1 | 28756 | 7 | 3.703 | 7765.6 |
| 775 | 2025-05-04 11:39:05 | scaly | 1 | 28756 | 7 | 1.393 | 20643.2 |