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 |
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 |
746 | 2025-06-18 06:21:46 | graph | 3 | 83667 | 909 | 24.330 | 3438.8 |
745 | 2025-06-11 01:18:23 | graph | 1 | 28756 | 4 | 1.126 | 25538.2 |
744 | 2025-06-04 03:07:46 | graph | 1 | 28756 | 4 | 3.690 | 7793.0 |
743 | 2025-06-02 16:38:27 | graph | 3 | 83667 | 909 | 21.266 | 3934.3 |
742 | 2025-06-02 13:30:58 | graph | 3 | 83667 | 909 | 27.080 | 3089.6 |
741 | 2025-06-02 05:19:14 | graph | 1 | 28756 | 4 | 1.170 | 24577.8 |
740 | 2025-05-31 19:11:14 | graph | 3 | 83667 | 909 | 15.033 | 5565.6 |
739 | 2025-05-31 05:49:01 | graph | 1 | 28756 | 4 | 1.390 | 20687.8 |
738 | 2025-05-30 16:43:59 | graph | 2 | 53800 | 92 | 1.670 | 32215.6 |
737 | 2025-05-29 20:19:16 | graph | 2 | 53800 | 92 | 1.703 | 31591.3 |
736 | 2025-05-27 20:12:29 | graph | 1 | 28756 | 4 | 0.436 | 65954.1 |
735 | 2025-05-24 19:32:20 | graph | 1 | 28756 | 4 | 2.483 | 11581.2 |
734 | 2025-05-24 14:10:13 | graph | 2 | 53800 | 92 | 7.733 | 6957.2 |
733 | 2025-05-19 16:51:49 | graph | 2 | 53800 | 92 | 1.563 | 34421.0 |
732 | 2025-05-16 12:05:33 | graph | 1 | 28756 | 4 | 1.390 | 20687.8 |
731 | 2025-05-16 06:15:29 | graph | 3 | 83667 | 909 | 19.076 | 4386.0 |
730 | 2025-05-15 11:28:12 | graph | 1 | 28756 | 4 | 2.813 | 10222.5 |
729 | 2025-05-13 11:08:44 | graph | 1 | 28756 | 4 | 0.516 | 55728.7 |
728 | 2025-05-12 08:05:52 | graph | 3 | 83667 | 909 | 13.080 | 6396.6 |
727 | 2025-05-11 02:11:31 | graph | 1 | 28756 | 4 | 2.516 | 11429.3 |
726 | 2025-05-08 14:06:10 | graph | 1 | 28756 | 4 | 1.313 | 21901.0 |
725 | 2025-05-06 17:00:51 | graph | 1 | 28756 | 4 | 2.516 | 11429.3 |
724 | 2025-05-04 23:42:47 | graph | 3 | 83667 | 909 | 4.063 | 20592.4 |
723 | 2025-05-04 02:29:57 | graph | 2 | 53800 | 92 | 7.483 | 7189.6 |
722 | 2025-05-02 17:52:31 | graph | 2 | 53800 | 92 | 5.830 | 9228.1 |
721 | 2025-05-02 05:44:39 | graph | 1 | 28756 | 4 | 2.766 | 10396.2 |
720 | 2025-05-01 04:56:08 | graph | 1 | 28756 | 4 | 2.970 | 9682.2 |
719 | 2025-04-30 04:31:12 | graph | 1 | 28756 | 4 | 3.733 | 7703.2 |
718 | 2025-04-27 07:38:15 | graph | 1 | 28756 | 4 | 0.533 | 53951.2 |
717 | 2025-04-24 12:47:35 | graph | 3 | 83667 | 909 | 17.876 | 4680.4 |
716 | 2025-04-23 14:34:15 | graph | 3 | 83667 | 909 | 5.360 | 15609.5 |
715 | 2025-04-23 11:32:20 | graph | 2 | 53800 | 92 | 4.876 | 11033.6 |
714 | 2025-04-20 18:14:31 | graph | 3 | 83667 | 909 | 5.626 | 14871.5 |
713 | 2025-04-20 15:48:55 | graph | 3 | 83667 | 909 | 4.313 | 19398.8 |
712 | 2025-04-18 06:22:13 | graph | 3 | 83667 | 909 | 15.843 | 5281.0 |
711 | 2025-04-16 12:45:17 | graph | 2 | 53800 | 92 | 4.186 | 12852.4 |
710 | 2025-04-15 22:52:25 | graph | 3 | 83667 | 909 | 12.106 | 6911.2 |
709 | 2025-04-15 10:43:14 | graph | 1 | 28756 | 4 | 0.453 | 63479.0 |
708 | 2025-04-14 19:20:40 | graph | 1 | 28756 | 4 | 0.513 | 56054.6 |
707 | 2025-04-14 12:32:23 | graph | 1 | 28756 | 4 | 2.066 | 13918.7 |
706 | 2025-04-09 11:33:09 | graph | 2 | 53800 | 92 | 9.360 | 5747.9 |
705 | 2025-04-09 08:43:57 | graph | 2 | 53800 | 92 | 10.140 | 5305.7 |
704 | 2025-04-09 07:57:15 | graph | 2 | 53800 | 92 | 12.263 | 4387.2 |
703 | 2025-04-08 13:08:10 | graph | 1 | 28756 | 4 | 0.890 | 32310.1 |
702 | 2025-04-08 12:29:33 | graph | 2 | 53800 | 92 | 1.690 | 31834.3 |
701 | 2025-04-07 13:41:07 | graph | 1 | 28756 | 4 | 1.703 | 16885.5 |
700 | 2025-04-07 12:29:57 | graph | 2 | 53800 | 92 | 6.546 | 8218.8 |
699 | 2025-04-03 02:10:38 | graph | 2 | 53800 | 92 | 1.576 | 34137.1 |
698 | 2025-03-31 08:18:50 | graph | 2 | 53800 | 92 | 9.326 | 5768.8 |
697 | 2025-03-30 06:03:50 | graph | 1 | 28756 | 4 | 0.440 | 65354.5 |
696 | 2025-03-23 07:12:54 | graph | 3 | 83667 | 909 | 14.500 | 5770.1 |
695 | 2025-03-21 03:23:10 | graph | 3 | 83667 | 909 | 14.233 | 5878.4 |
694 | 2025-03-15 09:00:36 | graph | 2 | 53800 | 92 | 4.513 | 11921.1 |
693 | 2025-03-15 08:43:10 | graph | 1 | 28756 | 4 | 1.250 | 23004.8 |
692 | 2025-03-14 18:02:14 | graph | 1 | 28756 | 4 | 2.763 | 10407.5 |
691 | 2025-03-12 18:53:23 | graph | 3 | 83667 | 909 | 25.550 | 3274.6 |
690 | 2025-03-11 02:13:18 | graph | 1 | 28756 | 4 | 3.703 | 7765.6 |
689 | 2025-03-09 05:10:59 | graph | 2 | 53800 | 92 | 4.623 | 11637.5 |
688 | 2025-03-08 16:32:46 | graph | 1 | 28756 | 4 | 2.030 | 14165.5 |
687 | 2025-03-07 22:38:20 | graph | 3 | 83667 | 909 | 11.016 | 7595.0 |
686 | 2025-03-07 17:17:10 | graph | 3 | 83667 | 909 | 13.733 | 6092.4 |
685 | 2025-03-07 16:20:06 | graph | 3 | 83667 | 909 | 19.216 | 4354.0 |
684 | 2025-03-04 12:47:20 | graph | 3 | 83667 | 909 | 16.313 | 5128.9 |
683 | 2025-03-04 11:29:20 | graph | 3 | 83667 | 909 | 13.893 | 6022.2 |
682 | 2025-03-04 02:08:09 | graph | 2 | 53800 | 92 | 6.500 | 8276.9 |
681 | 2025-03-03 17:36:55 | graph | 2 | 53800 | 92 | 6.500 | 8276.9 |
680 | 2025-03-01 21:08:52 | graph | 1 | 28756 | 4 | 1.750 | 16432.0 |
679 | 2025-02-28 23:31:45 | graph | 1 | 28756 | 4 | 3.313 | 8679.7 |
678 | 2025-02-28 01:42:38 | graph | 1 | 28756 | 4 | 1.373 | 20943.9 |
677 | 2025-02-25 09:48:44 | graph | 1 | 28756 | 4 | 0.580 | 49579.3 |
676 | 2025-02-05 19:38:22 | graph | 3 | 83667 | 909 | 18.673 | 4480.6 |
675 | 2025-02-05 16:09:29 | graph | 3 | 83667 | 909 | 17.906 | 4672.6 |
674 | 2025-02-05 02:42:23 | graph | 3 | 83667 | 909 | 18.190 | 4599.6 |
673 | 2025-02-05 00:58:15 | graph | 3 | 83667 | 909 | 19.673 | 4252.9 |
672 | 2025-02-05 00:58:22 | graph | 2 | 53800 | 92 | 3.690 | 14579.9 |
671 | 2025-02-05 00:29:07 | graph | 1 | 28756 | 4 | 0.436 | 65954.1 |
670 | 2025-01-28 02:01:17 | graph | 1 | 28756 | 4 | 2.310 | 12448.5 |
669 | 2025-01-27 19:50:13 | graph | 1 | 28756 | 4 | 1.483 | 19390.4 |
668 | 2025-01-09 09:56:13 | graph | 1 | 28756 | 4 | 1.766 | 16283.1 |
667 | 2025-01-08 12:07:08 | graph | 2 | 53800 | 92 | 13.953 | 3855.8 |
666 | 2025-01-07 21:41:56 | graph | 2 | 53800 | 92 | 7.690 | 6996.1 |
665 | 2025-01-07 21:26:04 | graph | 3 | 83667 | 909 | 17.563 | 4763.8 |
664 | 2025-01-05 22:58:37 | graph | 1 | 28756 | 4 | 3.500 | 8216.0 |
663 | 2024-12-29 12:24:49 | graph | 3 | 83667 | 909 | 17.013 | 4917.8 |
662 | 2024-12-29 05:21:35 | graph | 2 | 53800 | 92 | 8.000 | 6725.0 |
661 | 2024-12-28 20:02:01 | graph | 2 | 53800 | 92 | 7.923 | 6790.4 |
660 | 2024-12-28 13:20:14 | graph | 3 | 83667 | 909 | 9.436 | 8866.8 |