History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"meannesses"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
744 | 2024-04-14 05:26:53 | meannesses | 2 | 108824 | 18 | 8.186 | 13293.9 |
743 | 2024-04-14 05:25:11 | meannesses | 1 | 67641 | 2 | 1.250 | 54112.8 |
742 | 2024-04-14 04:59:21 | meannesses | 3 | 140603 | 118 | 26.596 | 5286.6 |
741 | 2024-04-13 22:59:10 | meannesses | 3 | 140603 | 118 | 29.233 | 4809.7 |
740 | 2024-04-13 22:59:01 | meannesses | 2 | 108824 | 18 | 11.483 | 9477.0 |
739 | 2024-04-13 22:51:58 | meannesses | 1 | 67641 | 2 | 3.330 | 20312.6 |
738 | 2024-04-12 18:54:33 | meannesses | 1 | 67641 | 2 | 1.156 | 58513.0 |
737 | 2024-04-12 18:54:29 | meannesses | 1 | 67641 | 2 | 1.220 | 55443.4 |
736 | 2024-03-24 12:48:41 | meannesses | 3 | 140603 | 118 | 24.860 | 5655.8 |
735 | 2024-03-21 07:01:15 | meannesses | 1 | 67641 | 2 | 1.530 | 44209.8 |
734 | 2024-03-20 04:45:22 | meannesses | 1 | 67641 | 2 | 1.156 | 58513.0 |
733 | 2024-03-13 15:54:21 | meannesses | 1 | 67641 | 2 | 2.453 | 27574.8 |
732 | 2024-03-11 01:48:34 | meannesses | 1 | 67641 | 2 | 3.360 | 20131.3 |
731 | 2024-03-10 23:16:40 | meannesses | 3 | 140603 | 118 | 16.236 | 8660.0 |
730 | 2024-03-10 12:54:45 | meannesses | 3 | 140603 | 118 | 20.466 | 6870.1 |
729 | 2024-03-10 12:54:52 | meannesses | 2 | 108824 | 18 | 11.296 | 9633.9 |
728 | 2024-03-10 12:51:36 | meannesses | 1 | 67641 | 2 | 2.173 | 31127.9 |
727 | 2024-03-06 04:14:05 | meannesses | 2 | 108824 | 18 | 9.050 | 12024.8 |
726 | 2024-03-06 04:08:29 | meannesses | 1 | 67641 | 2 | 1.173 | 57665.0 |
725 | 2024-02-29 01:00:03 | meannesses | 1 | 67641 | 2 | 2.440 | 27721.7 |
724 | 2024-02-28 05:49:51 | meannesses | 1 | 67641 | 2 | 1.266 | 53428.9 |
723 | 2024-02-22 16:47:51 | meannesses | 3 | 140603 | 118 | 7.780 | 18072.4 |
722 | 2024-02-13 16:55:58 | meannesses | 2 | 108824 | 18 | 10.623 | 10244.2 |
721 | 2024-02-13 16:40:30 | meannesses | 1 | 67641 | 2 | 2.686 | 25182.8 |
720 | 2024-02-12 16:51:56 | meannesses | 2 | 108824 | 18 | 10.860 | 10020.6 |
719 | 2024-02-12 14:05:58 | meannesses | 1 | 67641 | 2 | 2.563 | 26391.3 |
718 | 2024-02-11 07:23:52 | meannesses | 3 | 140603 | 118 | 17.830 | 7885.8 |
717 | 2024-02-11 05:06:51 | meannesses | 1 | 67641 | 2 | 1.110 | 60937.8 |
716 | 2024-02-09 06:51:31 | meannesses | 2 | 108824 | 18 | 7.283 | 14942.2 |
715 | 2024-02-09 06:40:46 | meannesses | 1 | 67641 | 2 | 1.143 | 59178.5 |
714 | 2024-02-08 20:51:20 | meannesses | 2 | 108824 | 18 | 7.140 | 15241.5 |
713 | 2024-02-08 17:11:25 | meannesses | 2 | 108824 | 18 | 11.170 | 9742.5 |
712 | 2024-02-08 13:51:14 | meannesses | 1 | 67641 | 2 | 1.173 | 57665.0 |
711 | 2024-02-03 08:27:30 | meannesses | 1 | 67641 | 2 | 1.033 | 65480.2 |
710 | 2024-01-23 11:23:18 | meannesses | 3 | 140603 | 118 | 17.686 | 7950.0 |
709 | 2024-01-05 04:34:03 | meannesses | 3 | 140603 | 118 | 7.000 | 20086.1 |
708 | 2023-12-06 06:32:30 | meannesses | 1 | 67641 | 2 | 1.033 | 65480.2 |
707 | 2023-11-30 23:11:13 | meannesses | 1 | 67641 | 2 | 1.126 | 60071.9 |
706 | 2023-11-24 12:02:47 | meannesses | 1 | 67641 | 2 | 1.016 | 66575.8 |
705 | 2023-11-23 12:53:15 | meannesses | 2 | 108824 | 18 | 3.046 | 35726.9 |
704 | 2023-11-23 12:53:12 | meannesses | 3 | 140603 | 118 | 5.953 | 23618.8 |
703 | 2023-10-27 07:20:52 | meannesses | 1 | 67641 | 2 | 1.033 | 65480.2 |
702 | 2023-10-27 00:32:45 | meannesses | 3 | 140603 | 118 | 6.690 | 21016.9 |
701 | 2023-10-23 12:21:52 | meannesses | 1 | 67641 | 2 | 1.173 | 57665.0 |
700 | 2023-10-21 09:08:15 | meannesses | 1 | 67641 | 2 | 1.156 | 58513.0 |
699 | 2023-10-12 00:59:26 | meannesses | 3 | 140603 | 118 | 5.530 | 25425.5 |
698 | 2023-10-02 17:53:27 | meannesses | 3 | 140603 | 118 | 6.703 | 20976.1 |
697 | 2023-10-01 01:04:20 | meannesses | 1 | 67641 | 2 | 1.013 | 66773.0 |
696 | 2023-09-27 04:50:30 | meannesses | 3 | 140603 | 118 | 7.170 | 19609.9 |
695 | 2023-09-27 04:50:31 | meannesses | 2 | 108824 | 18 | 3.830 | 28413.6 |
694 | 2023-09-19 20:15:14 | meannesses | 1 | 67641 | 2 | 1.126 | 60071.9 |
693 | 2023-09-12 19:00:05 | meannesses | 1 | 67641 | 2 | 1.140 | 59334.2 |
692 | 2023-07-23 06:32:23 | meannesses | 3 | 140603 | 118 | 6.156 | 22840.0 |
691 | 2023-07-11 04:10:59 | meannesses | 1 | 67641 | 2 | 1.110 | 60937.8 |
690 | 2023-07-04 11:50:29 | meannesses | 1 | 67641 | 2 | 1.033 | 65480.2 |
689 | 2023-04-21 12:41:29 | meannesses | 3 | 140603 | 118 | 5.453 | 25784.5 |
688 | 2023-04-15 23:20:12 | meannesses | 1 | 67641 | 2 | 1.143 | 59178.5 |
687 | 2023-04-04 21:15:45 | meannesses | 3 | 140603 | 118 | 13.140 | 10700.4 |
686 | 2023-03-11 05:15:15 | meannesses | 1 | 67641 | 2 | 1.110 | 60937.8 |
685 | 2023-03-07 22:25:17 | meannesses | 1 | 67641 | 2 | 1.000 | 67641.0 |
684 | 2023-02-06 08:06:32 | meannesses | 1 | 67641 | 2 | 1.000 | 67641.0 |
683 | 2023-01-03 07:19:08 | meannesses | 3 | 140603 | 118 | 5.486 | 25629.4 |
682 | 2022-12-04 22:28:21 | meannesses | 1 | 67641 | 2 | 1.000 | 67641.0 |
681 | 2022-11-16 00:07:21 | meannesses | 1 | 67641 | 2 | 1.173 | 57665.0 |
680 | 2022-10-13 10:52:57 | meannesses | 3 | 140603 | 118 | 5.626 | 24991.6 |
679 | 2022-09-08 21:03:28 | meannesses | 3 | 140603 | 118 | 5.593 | 25139.1 |
678 | 2022-09-06 18:35:15 | meannesses | 3 | 140603 | 118 | 5.546 | 25352.1 |
677 | 2022-07-30 21:56:59 | meannesses | 1 | 67641 | 2 | 1.143 | 59178.5 |
676 | 2022-07-23 03:32:16 | meannesses | 1 | 67641 | 2 | 1.110 | 60937.8 |
675 | 2022-04-12 15:25:20 | meannesses | 3 | 140603 | 118 | 7.936 | 17717.1 |
674 | 2022-04-12 02:58:12 | meannesses | 3 | 140603 | 118 | 6.296 | 22332.1 |
673 | 2022-04-11 17:20:32 | meannesses | 3 | 140603 | 118 | 6.326 | 22226.2 |
672 | 2022-04-11 04:51:02 | meannesses | 3 | 140603 | 118 | 5.733 | 24525.2 |
671 | 2022-04-10 14:11:08 | meannesses | 3 | 140603 | 118 | 6.080 | 23125.5 |
670 | 2022-04-10 00:44:40 | meannesses | 3 | 140603 | 118 | 5.516 | 25490.0 |
669 | 2022-04-09 12:17:31 | meannesses | 3 | 140603 | 118 | 6.310 | 22282.6 |
668 | 2022-04-08 14:44:57 | meannesses | 3 | 140603 | 118 | 6.610 | 21271.3 |
667 | 2022-04-07 23:25:19 | meannesses | 3 | 140603 | 118 | 7.030 | 20000.4 |
666 | 2022-04-07 07:47:30 | meannesses | 3 | 140603 | 118 | 5.813 | 24187.7 |
665 | 2022-04-06 23:24:06 | meannesses | 3 | 140603 | 118 | 6.360 | 22107.4 |
664 | 2022-04-06 15:40:18 | meannesses | 3 | 140603 | 118 | 5.670 | 24797.7 |
663 | 2022-04-06 01:11:44 | meannesses | 3 | 140603 | 118 | 6.593 | 21326.1 |
662 | 2022-04-05 13:08:30 | meannesses | 3 | 140603 | 118 | 7.456 | 18857.7 |
661 | 2022-04-04 10:58:21 | meannesses | 3 | 140603 | 118 | 7.436 | 18908.4 |
660 | 2022-04-03 17:56:54 | meannesses | 3 | 140603 | 118 | 5.610 | 25062.9 |
659 | 2022-04-02 21:18:06 | meannesses | 3 | 140603 | 118 | 6.283 | 22378.3 |
658 | 2022-04-02 04:07:08 | meannesses | 3 | 140603 | 118 | 6.093 | 23076.2 |
657 | 2022-04-01 07:57:34 | meannesses | 3 | 140603 | 118 | 6.706 | 20966.7 |
656 | 2022-03-31 15:49:31 | meannesses | 3 | 140603 | 118 | 7.470 | 18822.4 |
655 | 2022-03-31 09:50:08 | meannesses | 3 | 140603 | 118 | 6.673 | 21070.4 |
654 | 2022-03-30 15:38:24 | meannesses | 3 | 140603 | 118 | 7.860 | 17888.4 |
653 | 2022-03-30 04:38:30 | meannesses | 3 | 140603 | 118 | 12.643 | 11121.0 |
652 | 2022-03-30 03:38:08 | meannesses | 3 | 140603 | 118 | 7.296 | 19271.2 |
651 | 2022-03-29 18:23:23 | meannesses | 3 | 140603 | 118 | 6.593 | 21326.1 |
650 | 2022-03-29 06:09:04 | meannesses | 3 | 140603 | 118 | 5.716 | 24598.1 |
649 | 2022-03-28 18:33:28 | meannesses | 3 | 140603 | 118 | 6.626 | 21219.9 |
648 | 2022-03-27 09:17:18 | meannesses | 3 | 140603 | 118 | 5.783 | 24313.2 |
647 | 2022-03-26 19:52:25 | meannesses | 3 | 140603 | 118 | 5.673 | 24784.6 |
646 | 2022-03-26 00:57:04 | meannesses | 3 | 140603 | 118 | 6.220 | 22605.0 |
645 | 2022-03-25 09:38:51 | meannesses | 1 | 67641 | 2 | 1.186 | 57032.9 |