History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"trains"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 734 | 2025-12-03 20:36:09 | trains | 1 | 48755 | 13 | 0.906 | 53813.5 |
| 733 | 2025-12-02 12:19:35 | trains | 1 | 48755 | 13 | 1.013 | 48129.3 |
| 732 | 2025-11-30 16:53:09 | trains | 1 | 48755 | 13 | 0.843 | 57835.1 |
| 731 | 2025-11-26 10:43:37 | trains | 1 | 48755 | 13 | 2.706 | 18017.4 |
| 730 | 2025-11-25 19:21:50 | trains | 1 | 48755 | 13 | 0.890 | 54780.9 |
| 729 | 2025-11-25 11:24:59 | trains | 1 | 48755 | 13 | 0.860 | 56691.9 |
| 728 | 2025-11-24 09:07:21 | trains | 1 | 48755 | 13 | 0.893 | 54596.9 |
| 727 | 2025-11-22 23:05:11 | trains | 1 | 48755 | 13 | 1.606 | 30358.0 |
| 726 | 2025-11-22 18:48:38 | trains | 1 | 48755 | 13 | 0.906 | 53813.5 |
| 725 | 2025-11-22 17:52:26 | trains | 1 | 48755 | 13 | 1.156 | 42175.6 |
| 724 | 2025-11-22 04:33:25 | trains | 1 | 48755 | 13 | 3.986 | 12231.6 |
| 723 | 2025-11-21 03:36:40 | trains | 1 | 48755 | 13 | 2.156 | 22613.6 |
| 722 | 2025-11-20 20:14:32 | trains | 1 | 48755 | 13 | 0.860 | 56691.9 |
| 721 | 2025-11-19 14:46:14 | trains | 1 | 48755 | 13 | 0.920 | 52994.6 |
| 720 | 2025-11-16 11:38:24 | trains | 1 | 48755 | 13 | 0.860 | 56691.9 |
| 719 | 2025-11-15 00:08:03 | trains | 1 | 48755 | 13 | 0.953 | 51159.5 |
| 718 | 2025-10-25 13:05:21 | trains | 1 | 48755 | 13 | 0.936 | 52088.7 |
| 717 | 2025-10-25 11:25:11 | trains | 1 | 48755 | 13 | 0.793 | 61481.7 |
| 716 | 2025-10-22 21:27:30 | trains | 1 | 48755 | 13 | 4.063 | 11999.8 |
| 715 | 2025-10-22 06:26:21 | trains | 1 | 48755 | 13 | 4.173 | 11683.4 |
| 714 | 2025-10-21 18:45:30 | trains | 1 | 48755 | 13 | 0.830 | 58741.0 |
| 713 | 2025-10-20 20:21:52 | trains | 1 | 48755 | 13 | 3.906 | 12482.1 |
| 712 | 2025-10-20 20:21:40 | trains | 1 | 48755 | 13 | 3.890 | 12533.4 |
| 711 | 2025-10-20 20:21:28 | trains | 1 | 48755 | 13 | 4.220 | 11553.3 |
| 710 | 2025-10-20 20:21:18 | trains | 1 | 48755 | 13 | 4.436 | 10990.8 |
| 709 | 2025-10-15 01:25:41 | trains | 1 | 48755 | 13 | 0.890 | 54780.9 |
| 708 | 2025-10-02 04:56:39 | trains | 1 | 48755 | 13 | 0.843 | 57835.1 |
| 707 | 2025-09-28 01:45:14 | trains | 1 | 48755 | 13 | 0.750 | 65006.7 |
| 706 | 2025-09-27 00:02:36 | trains | 1 | 48755 | 13 | 0.763 | 63899.1 |
| 705 | 2025-09-26 12:53:20 | trains | 1 | 48755 | 13 | 0.873 | 55847.7 |
| 704 | 2025-09-21 20:40:30 | trains | 1 | 48755 | 13 | 0.843 | 57835.1 |
| 703 | 2025-09-21 20:40:22 | trains | 1 | 48755 | 13 | 0.826 | 59025.4 |
| 702 | 2025-09-21 05:43:49 | trains | 1 | 48755 | 13 | 0.860 | 56691.9 |
| 701 | 2025-09-20 21:28:20 | trains | 1 | 48755 | 13 | 0.780 | 62506.4 |
| 700 | 2025-09-20 21:28:02 | trains | 1 | 48755 | 13 | 1.016 | 47987.2 |
| 699 | 2025-09-15 05:23:43 | trains | 1 | 48755 | 13 | 0.780 | 62506.4 |
| 698 | 2025-09-14 17:15:50 | trains | 1 | 48755 | 13 | 0.763 | 63899.1 |
| 697 | 2025-09-07 23:49:46 | trains | 2 | 82551 | 137 | 2.326 | 35490.5 |
| 696 | 2025-09-07 13:48:29 | trains | 1 | 48755 | 13 | 0.860 | 56691.9 |
| 695 | 2025-09-06 10:35:58 | trains | 1 | 48755 | 13 | 0.876 | 55656.4 |
| 694 | 2025-09-05 17:24:27 | trains | 2 | 82551 | 137 | 2.500 | 33020.4 |
| 693 | 2025-08-25 00:02:16 | trains | 1 | 48755 | 13 | 2.826 | 17252.3 |
| 692 | 2025-08-10 11:15:31 | trains | 1 | 48755 | 13 | 5.233 | 9316.8 |
| 691 | 2025-08-09 14:10:59 | trains | 2 | 82551 | 137 | 14.860 | 5555.2 |
| 690 | 2025-08-04 18:53:27 | trains | 1 | 48755 | 13 | 3.953 | 12333.7 |
| 689 | 2025-08-02 19:13:17 | trains | 2 | 82551 | 137 | 6.610 | 12488.8 |
| 688 | 2025-08-01 17:48:10 | trains | 2 | 82551 | 137 | 5.856 | 14096.8 |
| 687 | 2025-08-01 08:18:10 | trains | 1 | 48755 | 13 | 2.030 | 24017.2 |
| 686 | 2025-07-31 22:48:29 | trains | 1 | 48755 | 13 | 1.766 | 27607.6 |
| 685 | 2025-07-31 03:04:01 | trains | 1 | 48755 | 13 | 0.906 | 53813.5 |
| 684 | 2025-07-31 02:06:37 | trains | 1 | 48755 | 13 | 0.860 | 56691.9 |
| 683 | 2025-07-25 01:44:51 | trains | 1 | 48755 | 13 | 1.873 | 26030.4 |
| 682 | 2025-07-24 03:33:36 | trains | 1 | 48755 | 13 | 5.030 | 9692.8 |
| 681 | 2025-07-23 14:55:02 | trains | 1 | 48755 | 13 | 4.033 | 12089.0 |
| 680 | 2025-07-23 02:28:06 | trains | 1 | 48755 | 13 | 2.343 | 20808.8 |
| 679 | 2025-07-19 02:27:55 | trains | 1 | 48755 | 13 | 0.826 | 59025.4 |
| 678 | 2025-07-14 01:43:57 | trains | 2 | 82551 | 137 | 13.300 | 6206.8 |
| 677 | 2025-07-13 05:03:01 | trains | 2 | 82551 | 137 | 2.733 | 30205.3 |
| 676 | 2025-07-10 20:12:08 | trains | 1 | 48755 | 13 | 4.110 | 11862.5 |
| 675 | 2025-07-02 06:41:48 | trains | 1 | 48755 | 13 | 5.436 | 8968.9 |
| 674 | 2025-07-01 21:42:48 | trains | 1 | 48755 | 13 | 3.703 | 13166.4 |
| 673 | 2025-06-30 03:23:18 | trains | 2 | 82551 | 137 | 8.266 | 9986.8 |
| 672 | 2025-06-29 02:33:27 | trains | 1 | 48755 | 13 | 0.890 | 54780.9 |
| 671 | 2025-06-22 02:29:10 | trains | 1 | 48755 | 13 | 4.330 | 11259.8 |
| 670 | 2025-06-22 01:27:21 | trains | 1 | 48755 | 13 | 3.860 | 12630.8 |
| 669 | 2025-06-18 01:17:04 | trains | 1 | 48755 | 13 | 3.390 | 14382.0 |
| 668 | 2025-06-10 11:00:31 | trains | 1 | 48755 | 13 | 4.660 | 10462.4 |
| 667 | 2025-06-06 19:33:29 | trains | 2 | 82551 | 137 | 2.420 | 34112.0 |
| 666 | 2025-06-06 14:09:34 | trains | 2 | 82551 | 137 | 12.530 | 6588.3 |
| 665 | 2025-06-04 14:44:03 | trains | 2 | 82551 | 137 | 9.563 | 8632.3 |
| 664 | 2025-06-02 00:07:12 | trains | 2 | 82551 | 137 | 8.923 | 9251.5 |
| 663 | 2025-06-01 16:45:39 | trains | 1 | 48755 | 13 | 0.843 | 57835.1 |
| 662 | 2025-05-30 22:02:44 | trains | 1 | 48755 | 13 | 2.123 | 22965.1 |
| 661 | 2025-05-30 12:59:07 | trains | 1 | 48755 | 13 | 2.766 | 17626.5 |
| 660 | 2025-05-29 01:45:13 | trains | 1 | 48755 | 13 | 4.953 | 9843.5 |
| 659 | 2025-05-27 03:20:38 | trains | 2 | 82551 | 137 | 9.580 | 8617.0 |
| 658 | 2025-05-25 14:16:26 | trains | 2 | 82551 | 137 | 12.986 | 6356.9 |
| 657 | 2025-05-21 17:04:12 | trains | 1 | 48755 | 13 | 1.673 | 29142.3 |
| 656 | 2025-05-17 00:54:35 | trains | 1 | 48755 | 13 | 1.983 | 24586.5 |
| 655 | 2025-05-16 18:28:10 | trains | 1 | 48755 | 13 | 4.346 | 11218.4 |
| 654 | 2025-05-15 13:37:55 | trains | 1 | 48755 | 13 | 3.406 | 14314.4 |
| 653 | 2025-05-13 15:27:48 | trains | 2 | 82551 | 137 | 9.970 | 8279.9 |
| 652 | 2025-05-10 16:15:28 | trains | 1 | 48755 | 13 | 3.720 | 13106.2 |
| 651 | 2025-05-05 03:59:43 | trains | 1 | 48755 | 13 | 0.783 | 62266.9 |
| 650 | 2025-04-30 16:53:03 | trains | 1 | 48755 | 13 | 4.173 | 11683.4 |
| 649 | 2025-04-30 06:16:54 | trains | 1 | 48755 | 13 | 2.186 | 22303.3 |
| 648 | 2025-04-29 21:28:37 | trains | 1 | 48755 | 13 | 3.953 | 12333.7 |
| 647 | 2025-04-23 08:12:10 | trains | 2 | 82551 | 137 | 17.270 | 4780.0 |
| 646 | 2025-04-22 03:56:19 | trains | 2 | 82551 | 137 | 3.250 | 25400.3 |
| 645 | 2025-04-17 04:59:22 | trains | 1 | 48755 | 13 | 0.843 | 57835.1 |
| 644 | 2025-04-16 00:02:54 | trains | 1 | 48755 | 13 | 4.576 | 10654.5 |
| 643 | 2025-04-08 10:35:50 | trains | 1 | 48755 | 13 | 2.250 | 21668.9 |
| 642 | 2025-04-03 00:48:45 | trains | 2 | 82551 | 137 | 13.000 | 6350.1 |
| 641 | 2025-04-02 23:12:45 | trains | 2 | 82551 | 137 | 6.453 | 12792.7 |
| 640 | 2025-04-01 17:12:55 | trains | 2 | 82551 | 137 | 7.830 | 10542.9 |
| 639 | 2025-03-30 06:48:47 | trains | 1 | 48755 | 13 | 0.783 | 62266.9 |
| 638 | 2025-03-30 04:15:51 | trains | 1 | 48755 | 13 | 0.860 | 56691.9 |
| 637 | 2025-03-29 21:27:32 | trains | 1 | 48755 | 13 | 3.780 | 12898.1 |
| 636 | 2025-03-29 18:36:40 | trains | 1 | 48755 | 13 | 2.173 | 22436.7 |
| 635 | 2025-03-16 15:03:53 | trains | 1 | 48755 | 13 | 3.470 | 14050.4 |