History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"graph"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 870 | 2026-01-22 13:19:11 | graph | 1 | 28756 | 4 | 0.516 | 55728.7 |
| 869 | 2026-01-22 12:54:15 | graph | 1 | 28756 | 4 | 0.500 | 57512.0 |
| 868 | 2026-01-22 04:29:34 | graph | 1 | 28756 | 4 | 0.516 | 55728.7 |
| 867 | 2026-01-15 17:13:08 | graph | 3 | 83667 | 909 | 5.170 | 16183.2 |
| 866 | 2026-01-15 15:57:10 | graph | 2 | 53800 | 92 | 6.093 | 8829.8 |
| 865 | 2026-01-12 16:48:42 | graph | 1 | 28756 | 4 | 0.530 | 54256.6 |
| 864 | 2026-01-12 10:09:06 | graph | 1 | 28756 | 4 | 0.500 | 57512.0 |
| 863 | 2026-01-12 09:01:09 | graph | 1 | 28756 | 4 | 0.516 | 55728.7 |
| 862 | 2026-01-08 08:10:52 | graph | 1 | 28756 | 4 | 0.530 | 54256.6 |
| 861 | 2026-01-08 08:09:43 | graph | 1 | 28756 | 4 | 0.470 | 61183.0 |
| 860 | 2026-01-07 00:06:00 | graph | 3 | 83667 | 909 | 4.296 | 19475.6 |
| 859 | 2026-01-01 11:55:38 | graph | 3 | 83667 | 909 | 20.440 | 4093.3 |
| 858 | 2026-01-01 11:55:27 | graph | 3 | 83667 | 909 | 15.093 | 5543.4 |
| 857 | 2025-12-25 21:26:03 | graph | 1 | 28756 | 4 | 0.530 | 54256.6 |
| 856 | 2025-12-25 09:11:40 | graph | 1 | 28756 | 4 | 0.530 | 54256.6 |
| 855 | 2025-12-25 05:25:10 | graph | 1 | 28756 | 4 | 0.516 | 55728.7 |
| 854 | 2025-12-25 02:12:22 | graph | 3 | 83667 | 909 | 3.923 | 21327.3 |
| 853 | 2025-12-24 02:01:51 | graph | 1 | 28756 | 4 | 0.500 | 57512.0 |
| 852 | 2025-12-23 11:23:26 | graph | 3 | 83667 | 909 | 3.940 | 21235.3 |
| 851 | 2025-12-23 11:23:12 | graph | 3 | 83667 | 909 | 4.436 | 18860.9 |
| 850 | 2025-12-21 20:15:50 | graph | 1 | 28756 | 4 | 0.466 | 61708.2 |
| 849 | 2025-12-19 19:14:05 | graph | 1 | 28756 | 4 | 0.546 | 52666.7 |
| 848 | 2025-12-19 19:12:52 | graph | 1 | 28756 | 4 | 1.330 | 21621.1 |
| 847 | 2025-12-19 19:12:39 | graph | 1 | 28756 | 4 | 1.393 | 20643.2 |
| 846 | 2025-12-08 18:40:49 | graph | 1 | 28756 | 4 | 0.516 | 55728.7 |
| 845 | 2025-12-07 03:07:04 | graph | 3 | 83667 | 909 | 13.876 | 6029.6 |
| 844 | 2025-12-06 11:34:26 | graph | 1 | 28756 | 4 | 0.546 | 52666.7 |
| 843 | 2025-12-02 22:24:46 | graph | 3 | 83667 | 909 | 4.076 | 20526.7 |
| 842 | 2025-12-02 10:19:51 | graph | 3 | 83667 | 909 | 5.263 | 15897.2 |
| 841 | 2025-12-01 05:33:03 | graph | 2 | 53800 | 92 | 1.576 | 34137.1 |
| 840 | 2025-11-30 17:59:20 | graph | 2 | 53800 | 92 | 1.626 | 33087.3 |
| 839 | 2025-11-29 12:33:08 | graph | 3 | 83667 | 909 | 3.593 | 23286.1 |
| 838 | 2025-11-27 21:59:07 | graph | 3 | 83667 | 909 | 8.080 | 10354.8 |
| 837 | 2025-11-27 17:08:57 | graph | 1 | 28756 | 4 | 0.516 | 55728.7 |
| 836 | 2025-11-26 20:00:47 | graph | 1 | 28756 | 4 | 0.500 | 57512.0 |
| 835 | 2025-11-24 16:23:07 | graph | 2 | 53800 | 92 | 1.890 | 28465.6 |
| 834 | 2025-11-23 19:39:51 | graph | 1 | 28756 | 4 | 0.546 | 52666.7 |
| 833 | 2025-11-21 18:02:31 | graph | 2 | 53800 | 92 | 6.440 | 8354.0 |
| 832 | 2025-11-20 18:36:28 | graph | 1 | 28756 | 4 | 0.516 | 55728.7 |
| 831 | 2025-11-20 09:27:12 | graph | 3 | 83667 | 909 | 3.343 | 25027.5 |
| 830 | 2025-11-20 05:07:30 | graph | 1 | 28756 | 4 | 0.453 | 63479.0 |
| 829 | 2025-11-18 08:26:27 | graph | 3 | 83667 | 909 | 5.216 | 16040.5 |
| 828 | 2025-11-18 08:26:21 | graph | 2 | 53800 | 92 | 1.750 | 30742.9 |
| 827 | 2025-11-17 16:34:16 | graph | 1 | 28756 | 4 | 0.513 | 56054.6 |
| 826 | 2025-11-17 16:33:59 | graph | 1 | 28756 | 4 | 0.500 | 57512.0 |
| 825 | 2025-11-15 23:53:56 | graph | 1 | 28756 | 4 | 0.483 | 59536.2 |
| 824 | 2025-11-15 03:29:03 | graph | 1 | 28756 | 4 | 0.750 | 38341.3 |
| 823 | 2025-11-13 11:27:32 | graph | 1 | 28756 | 4 | 0.500 | 57512.0 |
| 822 | 2025-11-13 04:05:55 | graph | 1 | 28756 | 4 | 0.500 | 57512.0 |
| 821 | 2025-11-09 22:31:15 | graph | 2 | 53800 | 92 | 1.563 | 34421.0 |
| 820 | 2025-11-07 10:08:55 | graph | 1 | 28756 | 4 | 0.453 | 63479.0 |
| 819 | 2025-11-04 06:51:21 | graph | 1 | 28756 | 4 | 0.500 | 57512.0 |
| 818 | 2025-11-03 22:20:18 | graph | 2 | 53800 | 92 | 1.656 | 32487.9 |
| 817 | 2025-11-02 20:57:24 | graph | 3 | 83667 | 909 | 4.093 | 20441.5 |
| 816 | 2025-11-01 14:30:14 | graph | 1 | 28756 | 4 | 0.876 | 32826.5 |
| 815 | 2025-11-01 11:51:07 | graph | 1 | 28756 | 4 | 0.483 | 59536.2 |
| 814 | 2025-10-30 06:41:58 | graph | 1 | 28756 | 4 | 0.500 | 57512.0 |
| 813 | 2025-10-26 18:45:49 | graph | 1 | 28756 | 4 | 1.076 | 26724.9 |
| 812 | 2025-10-26 17:32:08 | graph | 1 | 28756 | 4 | 0.500 | 57512.0 |
| 811 | 2025-10-26 12:24:28 | graph | 1 | 28756 | 4 | 0.546 | 52666.7 |
| 810 | 2025-10-24 09:29:29 | graph | 1 | 28756 | 4 | 0.500 | 57512.0 |
| 809 | 2025-10-22 23:46:57 | graph | 2 | 53800 | 92 | 8.233 | 6534.7 |
| 808 | 2025-10-21 15:01:29 | graph | 1 | 28756 | 4 | 2.813 | 10222.5 |
| 807 | 2025-10-20 03:33:46 | graph | 1 | 28756 | 4 | 1.810 | 15887.3 |
| 806 | 2025-10-19 10:43:49 | graph | 3 | 83667 | 909 | 60.123 | 1391.6 |
| 805 | 2025-10-19 10:43:16 | graph | 3 | 83667 | 909 | 63.160 | 1324.7 |
| 804 | 2025-10-19 10:42:38 | graph | 3 | 83667 | 909 | 79.523 | 1052.1 |
| 803 | 2025-10-19 10:41:56 | graph | 3 | 83667 | 909 | 84.700 | 987.8 |
| 802 | 2025-10-18 17:40:32 | graph | 3 | 83667 | 909 | 6.110 | 13693.5 |
| 801 | 2025-10-15 04:28:41 | graph | 1 | 28756 | 4 | 0.486 | 59168.7 |
| 800 | 2025-10-12 18:06:05 | graph | 1 | 28756 | 4 | 0.500 | 57512.0 |
| 799 | 2025-10-12 18:05:55 | graph | 1 | 28756 | 4 | 0.563 | 51076.4 |
| 798 | 2025-10-11 23:34:35 | graph | 1 | 28756 | 4 | 0.436 | 65954.1 |
| 797 | 2025-10-06 11:20:10 | graph | 3 | 83667 | 909 | 3.313 | 25254.2 |
| 796 | 2025-10-01 22:53:24 | graph | 3 | 83667 | 909 | 3.643 | 22966.5 |
| 795 | 2025-10-01 14:40:23 | graph | 3 | 83667 | 909 | 3.470 | 24111.5 |
| 794 | 2025-10-01 12:37:59 | graph | 1 | 28756 | 4 | 0.513 | 56054.6 |
| 793 | 2025-09-26 00:34:53 | graph | 1 | 28756 | 4 | 0.750 | 38341.3 |
| 792 | 2025-09-23 18:49:31 | graph | 1 | 28756 | 4 | 0.920 | 31256.5 |
| 791 | 2025-09-22 06:16:01 | graph | 1 | 28756 | 4 | 0.513 | 56054.6 |
| 790 | 2025-09-18 07:38:15 | graph | 2 | 53800 | 92 | 1.563 | 34421.0 |
| 789 | 2025-09-15 03:42:37 | graph | 1 | 28756 | 4 | 0.500 | 57512.0 |
| 788 | 2025-09-14 09:26:57 | graph | 1 | 28756 | 4 | 0.500 | 57512.0 |
| 787 | 2025-09-14 04:39:21 | graph | 1 | 28756 | 4 | 0.513 | 56054.6 |
| 786 | 2025-09-06 03:10:30 | graph | 1 | 28756 | 4 | 0.436 | 65954.1 |
| 785 | 2025-08-25 07:56:21 | graph | 2 | 53800 | 92 | 8.860 | 6072.2 |
| 784 | 2025-08-24 10:57:10 | graph | 1 | 28756 | 4 | 1.593 | 18051.5 |
| 783 | 2025-08-19 09:41:46 | graph | 1 | 28756 | 4 | 0.936 | 30722.2 |
| 782 | 2025-08-12 03:52:52 | graph | 1 | 28756 | 4 | 1.346 | 21364.0 |
| 781 | 2025-08-09 15:07:28 | graph | 1 | 28756 | 4 | 1.640 | 17534.1 |
| 780 | 2025-08-08 20:00:14 | graph | 2 | 53800 | 92 | 1.623 | 33148.5 |
| 779 | 2025-08-08 17:34:55 | graph | 1 | 28756 | 4 | 0.440 | 65354.5 |
| 778 | 2025-08-04 07:02:26 | graph | 1 | 28756 | 4 | 1.623 | 17717.8 |
| 777 | 2025-08-01 06:19:28 | graph | 1 | 28756 | 4 | 2.000 | 14378.0 |
| 776 | 2025-08-01 04:38:07 | graph | 1 | 28756 | 4 | 0.970 | 29645.4 |
| 775 | 2025-07-30 23:33:27 | graph | 1 | 28756 | 4 | 2.046 | 14054.7 |
| 774 | 2025-07-28 06:30:44 | graph | 3 | 83667 | 909 | 12.626 | 6626.6 |
| 773 | 2025-07-28 06:30:44 | graph | 3 | 83667 | 909 | 9.016 | 9279.8 |
| 772 | 2025-07-28 03:21:22 | graph | 2 | 53800 | 92 | 3.530 | 15240.8 |
| 771 | 2025-07-27 05:37:36 | graph | 3 | 83667 | 909 | 9.096 | 9198.2 |