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 |
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 |
776 | 2024-11-27 02:40:38 | flaws | 1 | 28756 | 16 | 1.046 | 27491.4 |
775 | 2024-11-21 00:20:21 | flaws | 2 | 53800 | 169 | 1.513 | 35558.5 |
774 | 2024-11-21 00:20:18 | flaws | 1 | 28756 | 16 | 0.436 | 65954.1 |
773 | 2024-11-09 00:35:47 | flaws | 1 | 28756 | 16 | 1.250 | 23004.8 |
772 | 2024-11-06 20:48:41 | flaws | 2 | 53800 | 169 | 4.563 | 11790.5 |
771 | 2024-11-06 20:42:26 | flaws | 1 | 28756 | 16 | 3.750 | 7668.3 |
770 | 2024-11-04 14:25:11 | flaws | 1 | 28756 | 16 | 0.986 | 29164.3 |
769 | 2024-10-28 02:16:40 | flaws | 1 | 28756 | 16 | 0.486 | 59168.7 |
768 | 2024-10-21 11:14:47 | flaws | 1 | 28756 | 16 | 1.373 | 20943.9 |
767 | 2024-10-21 01:04:45 | flaws | 2 | 53800 | 169 | 2.673 | 20127.2 |
766 | 2024-10-21 01:04:40 | flaws | 1 | 28756 | 16 | 0.736 | 39070.7 |
765 | 2024-10-07 19:43:59 | flaws | 1 | 28756 | 16 | 1.793 | 16037.9 |
764 | 2024-09-28 01:43:57 | flaws | 2 | 53800 | 169 | 6.080 | 8848.7 |
763 | 2024-09-28 01:03:21 | flaws | 1 | 28756 | 16 | 1.580 | 18200.0 |
762 | 2024-09-27 01:44:00 | flaws | 2 | 53800 | 169 | 8.233 | 6534.7 |
761 | 2024-09-27 01:43:57 | flaws | 1 | 28756 | 16 | 5.140 | 5594.6 |
760 | 2024-09-21 15:06:48 | flaws | 2 | 53800 | 169 | 12.343 | 4358.7 |
759 | 2024-09-19 11:50:33 | flaws | 2 | 53800 | 169 | 3.750 | 14346.7 |
758 | 2024-09-19 11:50:14 | flaws | 1 | 28756 | 16 | 3.876 | 7419.0 |
757 | 2024-09-07 05:12:19 | flaws | 1 | 28756 | 16 | 5.330 | 5395.1 |
756 | 2024-09-04 05:44:21 | flaws | 2 | 53800 | 169 | 6.763 | 7955.0 |
755 | 2024-09-04 05:44:18 | flaws | 2 | 53800 | 169 | 6.330 | 8499.2 |
754 | 2024-09-03 19:17:07 | flaws | 1 | 28756 | 16 | 3.500 | 8216.0 |
753 | 2024-09-01 22:57:27 | flaws | 1 | 28756 | 16 | 1.610 | 17860.9 |
752 | 2024-08-30 03:20:55 | flaws | 1 | 28756 | 16 | 5.216 | 5513.0 |
751 | 2024-08-28 21:16:33 | flaws | 2 | 53800 | 169 | 14.406 | 3734.6 |
750 | 2024-08-28 21:02:07 | flaws | 1 | 28756 | 16 | 0.436 | 65954.1 |
749 | 2024-08-24 09:32:50 | flaws | 1 | 28756 | 16 | 2.486 | 11567.2 |
748 | 2024-08-20 11:19:47 | flaws | 2 | 53800 | 169 | 1.406 | 38264.6 |
747 | 2024-08-20 11:19:43 | flaws | 1 | 28756 | 16 | 0.453 | 63479.0 |
746 | 2024-08-08 23:17:36 | flaws | 1 | 28756 | 16 | 2.453 | 11722.8 |
745 | 2024-08-08 02:55:18 | flaws | 1 | 28756 | 16 | 1.783 | 16127.9 |
744 | 2024-07-31 01:48:55 | flaws | 1 | 28756 | 16 | 2.360 | 12184.7 |
743 | 2024-07-29 15:05:03 | flaws | 1 | 28756 | 16 | 1.016 | 28303.1 |
742 | 2024-07-28 05:58:10 | flaws | 1 | 28756 | 16 | 2.703 | 10638.5 |
741 | 2024-07-14 19:05:52 | flaws | 2 | 53800 | 169 | 7.640 | 7041.9 |
740 | 2024-07-14 18:57:46 | flaws | 1 | 28756 | 16 | 1.483 | 19390.4 |
739 | 2024-07-09 22:47:36 | flaws | 2 | 53800 | 169 | 3.063 | 17564.5 |
738 | 2024-07-09 21:32:41 | flaws | 1 | 28756 | 16 | 2.030 | 14165.5 |
737 | 2024-07-04 05:14:45 | flaws | 1 | 28756 | 16 | 0.763 | 37688.1 |
736 | 2024-07-01 02:02:41 | flaws | 1 | 28756 | 16 | 1.500 | 19170.7 |
735 | 2024-06-29 12:55:07 | flaws | 1 | 28756 | 16 | 0.906 | 31739.5 |
734 | 2024-06-28 07:37:11 | flaws | 1 | 28756 | 16 | 1.140 | 25224.6 |
733 | 2024-06-28 04:38:30 | flaws | 1 | 28756 | 16 | 2.030 | 14165.5 |
732 | 2024-06-18 00:01:06 | flaws | 1 | 28756 | 16 | 1.753 | 16403.9 |
731 | 2024-06-14 03:34:23 | flaws | 2 | 53800 | 169 | 5.030 | 10695.8 |
730 | 2024-06-14 03:26:02 | flaws | 1 | 28756 | 16 | 0.470 | 61183.0 |
729 | 2024-06-09 02:40:17 | flaws | 1 | 28756 | 16 | 1.830 | 15713.7 |
728 | 2024-06-03 09:20:11 | flaws | 1 | 28756 | 16 | 0.546 | 52666.7 |
727 | 2024-05-31 22:59:25 | flaws | 1 | 28756 | 16 | 0.533 | 53951.2 |
726 | 2024-05-31 22:59:20 | flaws | 2 | 53800 | 169 | 1.716 | 31352.0 |
725 | 2024-05-30 08:39:36 | flaws | 1 | 28756 | 16 | 0.793 | 36262.3 |
724 | 2024-05-28 08:20:07 | flaws | 1 | 28756 | 16 | 1.173 | 24514.9 |
723 | 2024-05-27 06:40:53 | flaws | 1 | 28756 | 16 | 1.263 | 22768.0 |
722 | 2024-05-19 02:34:44 | flaws | 1 | 28756 | 16 | 1.686 | 17055.8 |
721 | 2024-05-15 00:15:08 | flaws | 2 | 53800 | 169 | 1.516 | 35488.1 |
720 | 2024-05-15 00:15:03 | flaws | 1 | 28756 | 16 | 0.436 | 65954.1 |
719 | 2024-05-10 15:21:57 | flaws | 1 | 28756 | 16 | 0.436 | 65954.1 |
718 | 2024-05-07 18:42:33 | flaws | 1 | 28756 | 16 | 1.110 | 25906.3 |
717 | 2024-05-06 05:09:05 | flaws | 1 | 28756 | 16 | 0.500 | 57512.0 |
716 | 2024-05-04 08:19:39 | flaws | 1 | 28756 | 16 | 1.093 | 26309.2 |
715 | 2024-04-29 15:56:58 | flaws | 1 | 28756 | 16 | 0.593 | 48492.4 |
714 | 2024-04-24 16:59:05 | flaws | 1 | 28756 | 16 | 0.530 | 54256.6 |
713 | 2024-04-20 01:25:39 | flaws | 1 | 28756 | 16 | 2.343 | 12273.2 |
712 | 2024-04-12 19:20:01 | flaws | 2 | 53800 | 169 | 1.550 | 34709.7 |
711 | 2024-04-12 19:19:57 | flaws | 1 | 28756 | 16 | 0.530 | 54256.6 |
710 | 2024-04-12 19:19:49 | flaws | 2 | 53800 | 169 | 1.876 | 28678.0 |
709 | 2024-04-12 19:18:57 | flaws | 1 | 28756 | 16 | 1.266 | 22714.1 |
708 | 2024-04-05 09:02:51 | flaws | 2 | 53800 | 169 | 1.953 | 27547.4 |
707 | 2024-04-02 20:53:05 | flaws | 1 | 28756 | 16 | 0.436 | 65954.1 |
706 | 2024-03-29 02:18:20 | flaws | 2 | 53800 | 169 | 2.516 | 21383.1 |
705 | 2024-03-29 02:14:26 | flaws | 1 | 28756 | 16 | 1.733 | 16593.2 |
704 | 2024-03-13 04:28:57 | flaws | 2 | 53800 | 169 | 3.750 | 14346.7 |
703 | 2024-03-13 04:28:47 | flaws | 1 | 28756 | 16 | 1.593 | 18051.5 |
702 | 2024-03-13 04:28:39 | flaws | 2 | 53800 | 169 | 2.860 | 18811.2 |
701 | 2024-03-13 04:28:35 | flaws | 1 | 28756 | 16 | 1.000 | 28756.0 |
700 | 2024-03-02 15:06:49 | flaws | 1 | 28756 | 16 | 1.670 | 17219.2 |
699 | 2024-02-27 19:58:43 | flaws | 1 | 28756 | 16 | 0.546 | 52666.7 |
698 | 2024-01-22 19:49:37 | flaws | 1 | 28756 | 16 | 0.483 | 59536.2 |
697 | 2024-01-22 18:26:11 | flaws | 1 | 28756 | 16 | 0.516 | 55728.7 |
696 | 2024-01-22 17:02:02 | flaws | 1 | 28756 | 16 | 0.436 | 65954.1 |
695 | 2024-01-13 23:16:45 | flaws | 1 | 28756 | 16 | 0.440 | 65354.5 |
694 | 2024-01-10 23:42:17 | flaws | 1 | 28756 | 16 | 0.483 | 59536.2 |
693 | 2024-01-10 10:18:22 | flaws | 2 | 53800 | 169 | 1.530 | 35163.4 |
692 | 2023-12-29 09:52:26 | flaws | 1 | 28756 | 16 | 0.483 | 59536.2 |
691 | 2023-12-17 22:03:56 | flaws | 2 | 53800 | 169 | 3.233 | 16640.9 |
690 | 2023-12-09 19:56:11 | flaws | 2 | 53800 | 169 | 1.483 | 36277.8 |
689 | 2023-11-24 13:43:55 | flaws | 1 | 28756 | 16 | 0.500 | 57512.0 |
688 | 2023-11-24 06:21:15 | flaws | 1 | 28756 | 16 | 0.513 | 56054.6 |
687 | 2023-11-16 06:17:47 | flaws | 1 | 28756 | 16 | 0.470 | 61183.0 |
686 | 2023-11-12 12:19:52 | flaws | 1 | 28756 | 16 | 0.516 | 55728.7 |