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 |
| 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 |
| 770 | 2025-07-27 04:01:26 | graph | 3 | 83667 | 909 | 19.080 | 4385.1 |
| 769 | 2025-07-27 04:01:28 | graph | 3 | 83667 | 909 | 13.596 | 6153.8 |
| 768 | 2025-07-26 00:25:01 | graph | 3 | 83667 | 909 | 6.656 | 12570.2 |
| 767 | 2025-07-25 11:02:11 | graph | 3 | 83667 | 909 | 11.203 | 7468.3 |
| 766 | 2025-07-25 07:52:00 | graph | 3 | 83667 | 909 | 16.503 | 5069.8 |
| 765 | 2025-07-24 14:12:00 | graph | 3 | 83667 | 909 | 26.843 | 3116.9 |
| 764 | 2025-07-24 12:00:13 | graph | 1 | 28756 | 4 | 2.530 | 11366.0 |
| 763 | 2025-07-24 08:38:06 | graph | 3 | 83667 | 909 | 14.813 | 5648.2 |
| 762 | 2025-07-23 02:39:40 | graph | 1 | 28756 | 4 | 1.343 | 21411.8 |
| 761 | 2025-07-21 10:08:04 | graph | 3 | 83667 | 909 | 3.360 | 24900.9 |
| 760 | 2025-07-17 12:50:03 | graph | 1 | 28756 | 4 | 1.310 | 21951.1 |
| 759 | 2025-07-11 19:36:00 | graph | 1 | 28756 | 4 | 1.203 | 23903.6 |
| 758 | 2025-07-11 06:29:44 | graph | 1 | 28756 | 4 | 2.326 | 12362.9 |
| 757 | 2025-07-11 01:06:42 | graph | 1 | 28756 | 4 | 3.093 | 9297.1 |
| 756 | 2025-07-08 14:04:44 | graph | 1 | 28756 | 4 | 3.533 | 8139.3 |
| 755 | 2025-07-04 09:27:08 | graph | 2 | 53800 | 92 | 4.733 | 11367.0 |
| 754 | 2025-07-02 19:58:53 | graph | 2 | 53800 | 92 | 4.343 | 12387.8 |
| 753 | 2025-07-02 06:07:29 | graph | 1 | 28756 | 4 | 1.173 | 24514.9 |
| 752 | 2025-07-01 04:06:06 | graph | 1 | 28756 | 4 | 0.516 | 55728.7 |
| 751 | 2025-06-28 15:48:48 | graph | 1 | 28756 | 4 | 0.550 | 52283.6 |
| 750 | 2025-06-26 08:42:59 | graph | 1 | 28756 | 4 | 2.686 | 10705.9 |
| 749 | 2025-06-20 17:30:45 | graph | 1 | 28756 | 4 | 2.780 | 10343.9 |
| 748 | 2025-06-20 06:27:38 | graph | 3 | 83667 | 909 | 10.156 | 8238.2 |
| 747 | 2025-06-18 08:43:48 | graph | 2 | 53800 | 92 | 5.813 | 9255.1 |