History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"conoidal"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
789 | 2024-04-27 11:13:47 | conoidal | 1 | 82945 | 1 | 1.920 | 43200.5 |
788 | 2024-04-25 15:09:40 | conoidal | 1 | 82945 | 1 | 1.610 | 51518.6 |
787 | 2024-04-11 21:56:38 | conoidal | 4 | 161609 | 617 | 48.393 | 3339.5 |
786 | 2024-04-11 13:43:03 | conoidal | 1 | 82945 | 1 | 1.563 | 53067.8 |
785 | 2024-04-11 08:49:54 | conoidal | 2 | 121059 | 18 | 3.970 | 30493.5 |
784 | 2024-04-10 20:13:54 | conoidal | 4 | 161609 | 617 | 37.596 | 4298.6 |
783 | 2024-04-10 06:45:35 | conoidal | 2 | 121059 | 18 | 4.656 | 26000.6 |
782 | 2024-04-10 01:11:38 | conoidal | 2 | 121059 | 18 | 5.796 | 20886.6 |
781 | 2024-04-09 17:29:12 | conoidal | 4 | 161609 | 617 | 39.223 | 4120.3 |
780 | 2024-04-09 11:30:39 | conoidal | 4 | 161609 | 617 | 35.236 | 4586.5 |
779 | 2024-04-09 11:30:39 | conoidal | 3 | 146162 | 96 | 25.093 | 5824.8 |
778 | 2024-04-09 00:49:50 | conoidal | 4 | 161609 | 617 | 28.253 | 5720.1 |
777 | 2024-04-09 00:49:53 | conoidal | 3 | 146162 | 96 | 17.346 | 8426.3 |
776 | 2024-04-09 00:50:01 | conoidal | 1 | 82945 | 1 | 1.736 | 47779.4 |
775 | 2024-04-09 00:49:52 | conoidal | 2 | 121059 | 18 | 4.766 | 25400.5 |
774 | 2024-04-01 00:01:14 | conoidal | 3 | 146162 | 96 | 23.766 | 6150.0 |
773 | 2024-04-01 00:01:14 | conoidal | 2 | 121059 | 18 | 13.470 | 8987.3 |
772 | 2024-04-01 00:01:02 | conoidal | 1 | 82945 | 1 | 1.733 | 47862.1 |
771 | 2024-03-30 08:22:35 | conoidal | 1 | 82945 | 1 | 1.563 | 53067.8 |
770 | 2024-03-18 04:46:38 | conoidal | 4 | 161609 | 617 | 23.140 | 6984.0 |
769 | 2024-03-11 01:17:37 | conoidal | 2 | 121059 | 18 | 13.330 | 9081.7 |
768 | 2024-03-11 01:16:37 | conoidal | 3 | 146162 | 96 | 16.000 | 9135.1 |
767 | 2024-03-11 00:35:53 | conoidal | 3 | 146162 | 96 | 11.830 | 12355.2 |
766 | 2024-03-11 00:35:54 | conoidal | 2 | 121059 | 18 | 7.563 | 16006.7 |
765 | 2024-03-09 19:56:19 | conoidal | 4 | 161609 | 617 | 29.440 | 5489.4 |
764 | 2024-03-08 13:15:49 | conoidal | 4 | 161609 | 617 | 26.530 | 6091.6 |
763 | 2024-03-08 13:05:49 | conoidal | 4 | 161609 | 617 | 35.923 | 4498.8 |
762 | 2024-03-08 03:58:27 | conoidal | 4 | 161609 | 617 | 28.123 | 5746.5 |
761 | 2024-03-08 03:58:33 | conoidal | 2 | 121059 | 18 | 9.216 | 13135.7 |
760 | 2024-03-08 03:58:27 | conoidal | 3 | 146162 | 96 | 9.716 | 15043.4 |
759 | 2024-03-08 00:43:57 | conoidal | 1 | 82945 | 1 | 2.393 | 34661.5 |
758 | 2024-03-05 15:59:24 | conoidal | 2 | 121059 | 18 | 4.203 | 28803.0 |
757 | 2024-03-05 15:57:10 | conoidal | 3 | 146162 | 96 | 7.906 | 18487.5 |
756 | 2024-03-05 09:47:48 | conoidal | 4 | 161609 | 617 | 42.486 | 3803.8 |
755 | 2024-03-05 09:47:45 | conoidal | 3 | 146162 | 96 | 22.236 | 6573.2 |
754 | 2024-03-05 09:47:45 | conoidal | 2 | 121059 | 18 | 7.156 | 16917.1 |
753 | 2024-03-05 09:46:01 | conoidal | 1 | 82945 | 1 | 1.606 | 51646.9 |
752 | 2024-02-28 11:49:22 | conoidal | 1 | 82945 | 1 | 1.560 | 53169.9 |
751 | 2024-02-25 15:42:46 | conoidal | 1 | 82945 | 1 | 1.343 | 61761.0 |
750 | 2024-02-12 16:06:40 | conoidal | 4 | 161609 | 617 | 16.173 | 9992.5 |
749 | 2024-02-10 05:39:14 | conoidal | 4 | 161609 | 617 | 43.440 | 3720.3 |
748 | 2024-02-10 05:39:13 | conoidal | 3 | 146162 | 96 | 13.783 | 10604.5 |
747 | 2024-02-09 20:34:21 | conoidal | 2 | 121059 | 18 | 3.890 | 31120.6 |
746 | 2024-02-09 18:22:43 | conoidal | 3 | 146162 | 96 | 9.550 | 15304.9 |
745 | 2024-02-08 10:07:16 | conoidal | 4 | 161609 | 617 | 35.470 | 4556.2 |
744 | 2024-02-07 13:18:38 | conoidal | 2 | 121059 | 18 | 3.610 | 33534.3 |
743 | 2024-02-07 13:17:10 | conoidal | 3 | 146162 | 96 | 8.110 | 18022.4 |
742 | 2024-02-07 03:51:03 | conoidal | 4 | 161609 | 617 | 14.690 | 11001.3 |
741 | 2024-02-07 00:34:22 | conoidal | 4 | 161609 | 617 | 13.500 | 11971.0 |
740 | 2024-02-06 22:28:05 | conoidal | 4 | 161609 | 617 | 14.140 | 11429.2 |
739 | 2024-02-06 22:28:09 | conoidal | 3 | 146162 | 96 | 8.016 | 18233.8 |
738 | 2024-02-06 22:27:41 | conoidal | 2 | 121059 | 18 | 4.063 | 29795.5 |
737 | 2024-01-30 23:23:39 | conoidal | 1 | 82945 | 1 | 1.546 | 53651.4 |
736 | 2023-12-27 23:23:29 | conoidal | 1 | 82945 | 1 | 1.283 | 64649.3 |
735 | 2023-12-16 17:19:54 | conoidal | 1 | 82945 | 1 | 1.326 | 62552.8 |
734 | 2023-12-06 07:21:34 | conoidal | 1 | 82945 | 1 | 3.106 | 26704.8 |
733 | 2023-12-04 07:09:00 | conoidal | 1 | 82945 | 1 | 1.360 | 60989.0 |
732 | 2023-11-01 17:46:58 | conoidal | 1 | 82945 | 1 | 1.550 | 53512.9 |
731 | 2023-10-30 10:39:57 | conoidal | 1 | 82945 | 1 | 1.373 | 60411.5 |
730 | 2023-09-26 05:28:59 | conoidal | 1 | 82945 | 1 | 3.030 | 27374.6 |
729 | 2023-09-18 03:42:21 | conoidal | 1 | 82945 | 1 | 1.406 | 58993.6 |
728 | 2023-08-12 07:02:39 | conoidal | 1 | 82945 | 1 | 1.376 | 60279.8 |
727 | 2023-07-09 10:38:11 | conoidal | 1 | 82945 | 1 | 1.423 | 58288.8 |
726 | 2023-07-06 19:45:10 | conoidal | 1 | 82945 | 1 | 1.330 | 62364.7 |
725 | 2023-06-25 22:32:39 | conoidal | 1 | 82945 | 1 | 1.313 | 63172.1 |
724 | 2023-05-19 00:26:23 | conoidal | 1 | 82945 | 1 | 1.470 | 56425.2 |
723 | 2023-05-04 07:28:19 | conoidal | 1 | 82945 | 1 | 1.500 | 55296.7 |
722 | 2023-04-17 13:26:50 | conoidal | 1 | 82945 | 1 | 1.296 | 64000.8 |
721 | 2023-03-29 08:29:21 | conoidal | 1 | 82945 | 1 | 1.436 | 57761.1 |
720 | 2023-03-18 20:38:23 | conoidal | 1 | 82945 | 1 | 1.313 | 63172.1 |
719 | 2023-03-13 16:45:36 | conoidal | 1 | 82945 | 1 | 1.280 | 64800.8 |
718 | 2023-03-02 02:20:58 | conoidal | 1 | 82945 | 1 | 2.593 | 31988.0 |
717 | 2023-02-09 08:17:47 | conoidal | 1 | 82945 | 1 | 1.283 | 64649.3 |
716 | 2023-01-19 19:39:05 | conoidal | 1 | 82945 | 1 | 1.440 | 57600.7 |
715 | 2023-01-10 04:59:29 | conoidal | 1 | 82945 | 1 | 1.313 | 63172.1 |
714 | 2022-12-07 06:38:33 | conoidal | 1 | 82945 | 1 | 1.343 | 61761.0 |
713 | 2022-12-05 19:50:08 | conoidal | 1 | 82945 | 1 | 1.406 | 58993.6 |
712 | 2022-11-25 17:48:19 | conoidal | 1 | 82945 | 1 | 1.500 | 55296.7 |
711 | 2022-11-24 05:09:49 | conoidal | 1 | 82945 | 1 | 2.576 | 32199.1 |
710 | 2022-10-19 21:05:20 | conoidal | 1 | 82945 | 1 | 1.296 | 64000.8 |
709 | 2022-10-09 08:53:56 | conoidal | 1 | 82945 | 1 | 1.360 | 60989.0 |
708 | 2022-09-06 04:09:38 | conoidal | 1 | 82945 | 1 | 1.436 | 57761.1 |
707 | 2022-08-27 00:57:28 | conoidal | 1 | 82945 | 1 | 1.420 | 58412.0 |
706 | 2022-08-08 05:36:43 | conoidal | 1 | 82945 | 1 | 1.436 | 57761.1 |
705 | 2022-07-27 23:37:50 | conoidal | 1 | 82945 | 1 | 1.330 | 62364.7 |
704 | 2022-07-18 22:36:20 | conoidal | 1 | 82945 | 1 | 1.376 | 60279.8 |
703 | 2022-07-16 02:16:46 | conoidal | 1 | 82945 | 1 | 1.330 | 62364.7 |
702 | 2022-07-06 19:01:59 | conoidal | 1 | 82945 | 1 | 1.326 | 62552.8 |
701 | 2022-07-04 10:04:46 | conoidal | 1 | 82945 | 1 | 1.343 | 61761.0 |
700 | 2022-05-29 00:25:20 | conoidal | 1 | 82945 | 1 | 1.310 | 63316.8 |
699 | 2022-05-19 03:06:23 | conoidal | 1 | 82945 | 1 | 1.330 | 62364.7 |
698 | 2022-05-18 15:28:43 | conoidal | 1 | 82945 | 1 | 1.310 | 63316.8 |
697 | 2022-04-10 10:00:52 | conoidal | 1 | 82945 | 1 | 1.453 | 57085.3 |
696 | 2022-03-31 16:06:16 | conoidal | 1 | 82945 | 1 | 1.810 | 45826.0 |
695 | 2022-03-25 05:34:38 | conoidal | 2 | 121059 | 18 | 3.296 | 36729.1 |
694 | 2022-03-24 16:41:10 | conoidal | 2 | 121059 | 18 | 4.610 | 26260.1 |
693 | 2022-03-23 14:42:52 | conoidal | 2 | 121059 | 18 | 4.110 | 29454.7 |
692 | 2022-03-23 01:53:39 | conoidal | 1 | 82945 | 1 | 1.453 | 57085.3 |
691 | 2022-03-23 01:33:50 | conoidal | 2 | 121059 | 18 | 4.016 | 30144.2 |
690 | 2022-03-22 16:55:28 | conoidal | 2 | 121059 | 18 | 4.013 | 30166.7 |