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 |
| 746 | 2025-10-27 04:31:30 | marplots | 1 | 82945 | 2 | 1.343 | 61761.0 |
| 745 | 2025-09-09 20:28:14 | marplots | 1 | 82945 | 2 | 1.453 | 57085.3 |
| 744 | 2025-09-07 09:50:32 | marplots | 3 | 146162 | 87 | 6.656 | 21959.4 |
| 743 | 2025-08-28 05:44:22 | marplots | 1 | 82945 | 2 | 2.153 | 38525.3 |
| 742 | 2025-08-25 04:45:33 | marplots | 3 | 146162 | 87 | 23.220 | 6294.7 |
| 741 | 2025-08-24 23:37:38 | marplots | 2 | 121059 | 8 | 20.440 | 5922.7 |
| 740 | 2025-08-24 07:02:33 | marplots | 1 | 82945 | 2 | 1.533 | 54106.3 |
| 739 | 2025-08-05 14:54:40 | marplots | 2 | 121059 | 8 | 7.970 | 15189.3 |
| 738 | 2025-08-04 20:41:44 | marplots | 1 | 82945 | 2 | 7.156 | 11591.0 |
| 737 | 2025-08-04 01:29:44 | marplots | 1 | 82945 | 2 | 7.346 | 11291.2 |
| 736 | 2025-08-03 07:28:18 | marplots | 2 | 121059 | 8 | 4.310 | 28087.9 |
| 735 | 2025-08-01 19:35:26 | marplots | 2 | 121059 | 8 | 23.453 | 5161.8 |
| 734 | 2025-07-27 15:36:44 | marplots | 1 | 82945 | 2 | 5.643 | 14698.7 |
| 733 | 2025-07-24 18:36:39 | marplots | 1 | 82945 | 2 | 7.123 | 11644.7 |
| 732 | 2025-07-22 21:51:39 | marplots | 1 | 82945 | 2 | 6.546 | 12671.1 |
| 731 | 2025-07-22 20:57:54 | marplots | 1 | 82945 | 2 | 3.440 | 24111.9 |
| 730 | 2025-07-20 17:49:39 | marplots | 1 | 82945 | 2 | 1.466 | 56579.1 |
| 729 | 2025-07-19 13:26:52 | marplots | 1 | 82945 | 2 | 1.376 | 60279.8 |
| 728 | 2025-07-18 04:53:22 | marplots | 3 | 146162 | 87 | 19.673 | 7429.6 |
| 727 | 2025-07-17 10:13:01 | marplots | 1 | 82945 | 2 | 7.736 | 10721.9 |
| 726 | 2025-07-13 11:31:43 | marplots | 1 | 82945 | 2 | 3.263 | 25419.9 |
| 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 |