History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"marplots"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
725 | 2025-07-09 02:55:29 | marplots | 1 | 82945 | 2 | 1.500 | 55296.7 |
724 | 2025-07-08 05:56:46 | marplots | 1 | 82945 | 2 | 6.186 | 13408.5 |
723 | 2025-06-28 05:29:14 | marplots | 2 | 121059 | 8 | 15.000 | 8070.6 |
722 | 2025-06-27 21:20:19 | marplots | 3 | 146162 | 87 | 9.046 | 16157.6 |
721 | 2025-06-27 10:27:01 | marplots | 1 | 82945 | 2 | 3.580 | 23169.0 |
720 | 2025-06-26 15:28:06 | marplots | 1 | 82945 | 2 | 4.063 | 20414.7 |
719 | 2025-06-19 12:52:43 | marplots | 1 | 82945 | 2 | 6.940 | 11951.7 |
718 | 2025-06-16 13:40:04 | marplots | 1 | 82945 | 2 | 10.190 | 8139.8 |
717 | 2025-06-11 07:44:57 | marplots | 1 | 82945 | 2 | 7.013 | 11827.3 |
716 | 2025-05-30 21:47:08 | marplots | 3 | 146162 | 87 | 56.596 | 2582.6 |
715 | 2025-05-28 10:50:09 | marplots | 1 | 82945 | 2 | 2.580 | 32149.2 |
714 | 2025-05-26 11:43:10 | marplots | 1 | 82945 | 2 | 7.096 | 11689.0 |
713 | 2025-05-26 10:47:03 | marplots | 1 | 82945 | 2 | 5.890 | 14082.3 |
712 | 2025-05-22 15:32:09 | marplots | 1 | 82945 | 2 | 3.686 | 22502.7 |
711 | 2025-05-22 03:26:23 | marplots | 2 | 121059 | 8 | 21.843 | 5542.2 |
710 | 2025-05-17 11:57:17 | marplots | 1 | 82945 | 2 | 1.436 | 57761.1 |
709 | 2025-05-17 09:02:33 | marplots | 1 | 82945 | 2 | 1.673 | 49578.6 |
708 | 2025-05-16 13:39:02 | marplots | 1 | 82945 | 2 | 10.050 | 8253.2 |
707 | 2025-05-14 15:04:03 | marplots | 1 | 82945 | 2 | 5.750 | 14425.2 |
706 | 2025-05-12 00:28:29 | marplots | 3 | 146162 | 87 | 41.750 | 3500.9 |
705 | 2025-05-10 08:03:02 | marplots | 1 | 82945 | 2 | 3.826 | 21679.3 |
704 | 2025-05-06 05:39:50 | marplots | 3 | 146162 | 87 | 40.536 | 3605.7 |
703 | 2025-05-05 20:38:54 | marplots | 1 | 82945 | 2 | 3.890 | 21322.6 |
702 | 2025-04-28 05:43:33 | marplots | 2 | 121059 | 8 | 9.563 | 12659.1 |
701 | 2025-04-27 20:26:01 | marplots | 3 | 146162 | 87 | 48.190 | 3033.0 |
700 | 2025-04-26 16:03:04 | marplots | 3 | 146162 | 87 | 30.360 | 4814.3 |
699 | 2025-04-26 11:42:36 | marplots | 2 | 121059 | 8 | 23.750 | 5097.2 |
698 | 2025-04-25 17:12:45 | marplots | 1 | 82945 | 2 | 6.250 | 13271.2 |
697 | 2025-04-25 11:09:44 | marplots | 1 | 82945 | 2 | 1.436 | 57761.1 |
696 | 2025-04-24 17:48:51 | marplots | 3 | 146162 | 87 | 6.796 | 21507.1 |
695 | 2025-04-23 10:25:03 | marplots | 1 | 82945 | 2 | 8.623 | 9619.0 |
694 | 2025-04-21 14:03:23 | marplots | 1 | 82945 | 2 | 8.160 | 10164.8 |
693 | 2025-04-16 22:01:57 | marplots | 1 | 82945 | 2 | 6.953 | 11929.4 |
692 | 2025-04-07 05:09:47 | marplots | 1 | 82945 | 2 | 1.830 | 45325.1 |
691 | 2025-03-24 09:57:15 | marplots | 3 | 146162 | 87 | 37.563 | 3891.1 |
690 | 2025-03-22 11:33:28 | marplots | 3 | 146162 | 87 | 32.190 | 4540.6 |
689 | 2025-03-21 16:34:23 | marplots | 2 | 121059 | 8 | 10.843 | 11164.7 |
688 | 2025-03-21 15:36:52 | marplots | 3 | 146162 | 87 | 46.830 | 3121.1 |
687 | 2025-03-20 13:59:10 | marplots | 1 | 82945 | 2 | 6.766 | 12259.1 |
686 | 2025-03-20 12:51:29 | marplots | 1 | 82945 | 2 | 8.286 | 10010.3 |
685 | 2025-03-19 16:41:45 | marplots | 1 | 82945 | 2 | 1.313 | 63172.1 |
684 | 2025-03-17 19:15:26 | marplots | 1 | 82945 | 2 | 5.686 | 14587.6 |
683 | 2025-03-12 19:11:03 | marplots | 1 | 82945 | 2 | 3.423 | 24231.7 |
682 | 2025-03-06 13:23:55 | marplots | 4 | 161609 | 976 | 70.923 | 2278.7 |
681 | 2025-03-05 03:44:17 | marplots | 4 | 161609 | 976 | 86.800 | 1861.9 |
680 | 2025-03-05 01:56:19 | marplots | 4 | 161609 | 976 | 63.880 | 2529.9 |
679 | 2025-03-04 14:16:01 | marplots | 4 | 161609 | 976 | 70.300 | 2298.8 |
678 | 2025-03-04 13:10:53 | marplots | 4 | 161609 | 976 | 66.146 | 2443.2 |
677 | 2025-03-04 10:02:22 | marplots | 4 | 161609 | 976 | 57.300 | 2820.4 |
676 | 2025-02-19 16:19:50 | marplots | 1 | 82945 | 2 | 6.983 | 11878.1 |
675 | 2025-02-19 04:23:44 | marplots | 3 | 146162 | 87 | 23.970 | 6097.7 |
674 | 2025-02-08 14:38:33 | marplots | 1 | 82945 | 2 | 3.703 | 22399.4 |
673 | 2025-02-06 03:18:26 | marplots | 1 | 82945 | 2 | 3.983 | 20824.8 |
672 | 2025-02-04 14:55:13 | marplots | 3 | 146162 | 87 | 39.156 | 3732.8 |
671 | 2025-02-03 19:29:55 | marplots | 3 | 146162 | 87 | 43.030 | 3396.7 |
670 | 2025-02-03 19:29:53 | marplots | 2 | 121059 | 8 | 16.863 | 7179.0 |
669 | 2025-02-02 22:43:16 | marplots | 3 | 146162 | 87 | 43.343 | 3372.2 |
668 | 2025-02-02 22:43:18 | marplots | 2 | 121059 | 8 | 19.330 | 6262.8 |
667 | 2025-02-02 22:43:07 | marplots | 1 | 82945 | 2 | 4.373 | 18967.5 |
666 | 2025-01-31 07:47:45 | marplots | 4 | 161609 | 976 | 109.430 | 1476.8 |
665 | 2025-01-31 04:42:13 | marplots | 4 | 161609 | 976 | 60.846 | 2656.0 |
664 | 2025-01-31 03:22:25 | marplots | 4 | 161609 | 976 | 68.500 | 2359.3 |
663 | 2025-01-30 21:10:45 | marplots | 4 | 161609 | 976 | 70.923 | 2278.7 |
662 | 2025-01-29 07:51:40 | marplots | 4 | 161609 | 976 | 58.986 | 2739.8 |
661 | 2025-01-14 07:27:09 | marplots | 2 | 121059 | 8 | 18.813 | 6434.9 |
660 | 2025-01-12 20:38:05 | marplots | 2 | 121059 | 8 | 10.596 | 11425.0 |
659 | 2025-01-12 20:37:49 | marplots | 1 | 82945 | 2 | 6.236 | 13301.0 |
658 | 2025-01-12 20:12:10 | marplots | 3 | 146162 | 87 | 19.766 | 7394.6 |
657 | 2025-01-02 22:24:10 | marplots | 3 | 146162 | 87 | 31.093 | 4700.8 |
656 | 2025-01-02 14:19:44 | marplots | 2 | 121059 | 8 | 17.760 | 6816.4 |
655 | 2025-01-02 14:19:44 | marplots | 1 | 82945 | 2 | 7.333 | 11311.2 |
654 | 2025-01-02 14:18:36 | marplots | 3 | 146162 | 87 | 8.970 | 16294.5 |
653 | 2025-01-01 16:37:26 | marplots | 1 | 82945 | 2 | 3.296 | 25165.4 |
652 | 2025-01-01 16:36:17 | marplots | 3 | 146162 | 87 | 10.983 | 13308.0 |
651 | 2024-12-31 14:49:22 | marplots | 3 | 146162 | 87 | 39.313 | 3717.9 |
650 | 2024-12-31 13:50:37 | marplots | 3 | 146162 | 87 | 36.643 | 3988.8 |
649 | 2024-12-31 10:24:17 | marplots | 3 | 146162 | 87 | 34.903 | 4187.7 |
648 | 2024-12-31 04:22:56 | marplots | 4 | 161609 | 976 | 67.706 | 2386.9 |
647 | 2024-12-31 04:22:58 | marplots | 3 | 146162 | 87 | 50.770 | 2878.9 |
646 | 2024-12-31 04:23:04 | marplots | 2 | 121059 | 8 | 26.156 | 4628.3 |
645 | 2024-12-31 04:22:33 | marplots | 1 | 82945 | 2 | 6.720 | 12343.0 |
644 | 2024-12-20 18:27:09 | marplots | 2 | 121059 | 8 | 10.690 | 11324.5 |
643 | 2024-12-02 16:59:44 | marplots | 1 | 82945 | 2 | 7.266 | 11415.5 |
642 | 2024-11-29 11:51:39 | marplots | 1 | 82945 | 2 | 6.250 | 13271.2 |
641 | 2024-11-29 10:47:32 | marplots | 3 | 146162 | 87 | 10.516 | 13899.0 |
640 | 2024-11-29 09:49:11 | marplots | 3 | 146162 | 87 | 38.813 | 3765.8 |
639 | 2024-11-29 09:49:03 | marplots | 2 | 121059 | 8 | 22.813 | 5306.6 |
638 | 2024-11-28 08:06:40 | marplots | 3 | 146162 | 87 | 34.516 | 4234.6 |
637 | 2024-11-28 08:06:59 | marplots | 1 | 82945 | 2 | 6.830 | 12144.2 |
636 | 2024-11-28 08:05:22 | marplots | 2 | 121059 | 8 | 6.080 | 19911.0 |
635 | 2024-11-26 20:07:59 | marplots | 1 | 82945 | 2 | 7.173 | 11563.5 |
634 | 2024-11-26 18:41:30 | marplots | 3 | 146162 | 87 | 34.986 | 4177.7 |
633 | 2024-11-24 19:17:33 | marplots | 3 | 146162 | 87 | 34.733 | 4208.2 |
632 | 2024-11-21 20:12:38 | marplots | 3 | 146162 | 87 | 39.316 | 3717.6 |
631 | 2024-11-15 00:02:35 | marplots | 4 | 161609 | 976 | 84.520 | 1912.1 |
630 | 2024-11-13 18:04:17 | marplots | 4 | 161609 | 976 | 43.063 | 3752.9 |
629 | 2024-11-13 13:06:14 | marplots | 4 | 161609 | 976 | 65.613 | 2463.1 |
628 | 2024-11-13 12:18:33 | marplots | 4 | 161609 | 976 | 17.033 | 9488.0 |
627 | 2024-11-13 05:57:11 | marplots | 4 | 161609 | 976 | 75.510 | 2140.2 |
626 | 2024-10-28 19:33:11 | marplots | 3 | 146162 | 87 | 27.953 | 5228.8 |