History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"train"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 716 | 2025-12-08 13:28:44 | train | 1 | 28756 | 12 | 0.546 | 52666.7 |
| 715 | 2025-12-05 19:03:26 | train | 1 | 28756 | 12 | 0.533 | 53951.2 |
| 714 | 2025-12-01 17:57:50 | train | 1 | 28756 | 12 | 0.563 | 51076.4 |
| 713 | 2025-11-27 01:20:14 | train | 1 | 28756 | 12 | 1.343 | 21411.8 |
| 712 | 2025-11-26 09:01:23 | train | 1 | 28756 | 12 | 0.513 | 56054.6 |
| 711 | 2025-11-25 00:35:16 | train | 1 | 28756 | 12 | 2.236 | 12860.5 |
| 710 | 2025-11-24 16:17:50 | train | 1 | 28756 | 12 | 0.530 | 54256.6 |
| 709 | 2025-11-22 10:16:50 | train | 1 | 28756 | 12 | 0.936 | 30722.2 |
| 708 | 2025-11-22 10:06:33 | train | 1 | 28756 | 12 | 0.530 | 54256.6 |
| 707 | 2025-11-22 01:03:00 | train | 1 | 28756 | 12 | 0.970 | 29645.4 |
| 706 | 2025-11-20 21:00:40 | train | 1 | 28756 | 12 | 1.923 | 14953.7 |
| 705 | 2025-11-20 04:33:28 | train | 1 | 28756 | 12 | 0.470 | 61183.0 |
| 704 | 2025-11-19 12:13:45 | train | 1 | 28756 | 12 | 0.483 | 59536.2 |
| 703 | 2025-11-19 08:15:23 | train | 1 | 28756 | 12 | 0.546 | 52666.7 |
| 702 | 2025-11-18 03:01:17 | train | 1 | 28756 | 12 | 0.533 | 53951.2 |
| 701 | 2025-11-15 05:29:05 | train | 1 | 28756 | 12 | 0.516 | 55728.7 |
| 700 | 2025-11-08 20:12:58 | train | 1 | 28756 | 12 | 0.500 | 57512.0 |
| 699 | 2025-11-05 04:07:20 | train | 2 | 53800 | 146 | 1.596 | 33709.3 |
| 698 | 2025-10-26 20:36:20 | train | 1 | 28756 | 12 | 0.533 | 53951.2 |
| 697 | 2025-10-26 18:30:07 | train | 1 | 28756 | 12 | 0.530 | 54256.6 |
| 696 | 2025-10-24 15:41:08 | train | 1 | 28756 | 12 | 0.530 | 54256.6 |
| 695 | 2025-10-22 04:02:27 | train | 1 | 28756 | 12 | 2.170 | 13251.6 |
| 694 | 2025-10-17 11:59:10 | train | 1 | 28756 | 12 | 0.500 | 57512.0 |
| 693 | 2025-10-17 11:09:44 | train | 1 | 28756 | 12 | 0.436 | 65954.1 |
| 692 | 2025-10-13 01:58:52 | train | 1 | 28756 | 12 | 0.516 | 55728.7 |
| 691 | 2025-10-08 13:17:53 | train | 1 | 28756 | 12 | 0.440 | 65354.5 |
| 690 | 2025-10-04 14:57:45 | train | 1 | 28756 | 12 | 0.546 | 52666.7 |
| 689 | 2025-10-01 00:22:27 | train | 1 | 28756 | 12 | 0.470 | 61183.0 |
| 688 | 2025-09-28 06:03:52 | train | 1 | 28756 | 12 | 0.483 | 59536.2 |
| 687 | 2025-09-27 21:08:35 | train | 1 | 28756 | 12 | 0.550 | 52283.6 |
| 686 | 2025-09-26 10:17:58 | train | 1 | 28756 | 12 | 0.483 | 59536.2 |
| 685 | 2025-09-23 22:53:16 | train | 1 | 28756 | 12 | 0.516 | 55728.7 |
| 684 | 2025-09-23 17:03:30 | train | 1 | 28756 | 12 | 0.516 | 55728.7 |
| 683 | 2025-09-16 11:06:32 | train | 1 | 28756 | 12 | 0.500 | 57512.0 |
| 682 | 2025-09-07 10:51:17 | train | 1 | 28756 | 12 | 0.563 | 51076.4 |
| 681 | 2025-09-04 17:00:43 | train | 1 | 28756 | 12 | 0.450 | 63902.2 |
| 680 | 2025-08-31 23:55:52 | train | 1 | 28756 | 12 | 0.500 | 57512.0 |
| 679 | 2025-08-28 21:13:06 | train | 1 | 28756 | 12 | 0.450 | 63902.2 |
| 678 | 2025-08-28 04:19:05 | train | 1 | 28756 | 12 | 0.530 | 54256.6 |
| 677 | 2025-08-27 05:42:06 | train | 1 | 28756 | 12 | 0.516 | 55728.7 |
| 676 | 2025-08-24 21:04:14 | train | 2 | 53800 | 146 | 3.813 | 14109.6 |
| 675 | 2025-08-24 20:58:17 | train | 1 | 28756 | 12 | 2.420 | 11882.6 |
| 674 | 2025-08-24 15:01:32 | train | 1 | 28756 | 12 | 1.783 | 16127.9 |
| 673 | 2025-08-22 18:58:59 | train | 1 | 28756 | 12 | 0.500 | 57512.0 |
| 672 | 2025-08-19 09:21:07 | train | 2 | 53800 | 146 | 6.190 | 8691.4 |
| 671 | 2025-08-17 13:58:55 | train | 2 | 53800 | 146 | 3.950 | 13620.3 |
| 670 | 2025-08-16 10:16:47 | train | 1 | 28756 | 12 | 0.530 | 54256.6 |
| 669 | 2025-08-11 22:04:25 | train | 1 | 28756 | 12 | 1.326 | 21686.3 |
| 668 | 2025-08-02 20:07:55 | train | 2 | 53800 | 146 | 10.283 | 5231.9 |
| 667 | 2025-08-01 13:58:12 | train | 1 | 28756 | 12 | 3.000 | 9585.3 |
| 666 | 2025-08-01 02:51:41 | train | 2 | 53800 | 146 | 7.720 | 6968.9 |
| 665 | 2025-07-27 06:30:25 | train | 1 | 28756 | 12 | 1.686 | 17055.8 |
| 664 | 2025-07-24 23:37:44 | train | 1 | 28756 | 12 | 2.360 | 12184.7 |
| 663 | 2025-07-24 21:14:28 | train | 1 | 28756 | 12 | 1.110 | 25906.3 |
| 662 | 2025-07-22 14:15:32 | train | 1 | 28756 | 12 | 2.283 | 12595.7 |
| 661 | 2025-07-22 12:04:12 | train | 2 | 53800 | 146 | 8.063 | 6672.5 |
| 660 | 2025-07-19 21:05:30 | train | 2 | 53800 | 146 | 1.453 | 37026.8 |
| 659 | 2025-07-17 09:28:54 | train | 2 | 53800 | 146 | 7.080 | 7598.9 |
| 658 | 2025-07-15 21:42:21 | train | 1 | 28756 | 12 | 0.546 | 52666.7 |
| 657 | 2025-07-10 23:57:42 | train | 2 | 53800 | 146 | 11.516 | 4671.8 |
| 656 | 2025-07-10 22:10:57 | train | 1 | 28756 | 12 | 1.800 | 15975.6 |
| 655 | 2025-07-10 16:16:15 | train | 2 | 53800 | 146 | 7.500 | 7173.3 |
| 654 | 2025-07-08 14:34:17 | train | 2 | 53800 | 146 | 7.000 | 7685.7 |
| 653 | 2025-07-07 11:18:14 | train | 1 | 28756 | 12 | 3.453 | 8327.8 |
| 652 | 2025-07-06 21:17:39 | train | 1 | 28756 | 12 | 0.563 | 51076.4 |
| 651 | 2025-07-06 19:34:23 | train | 1 | 28756 | 12 | 0.500 | 57512.0 |
| 650 | 2025-07-02 02:14:00 | train | 2 | 53800 | 146 | 4.016 | 13396.4 |
| 649 | 2025-06-30 13:57:39 | train | 1 | 28756 | 12 | 1.343 | 21411.8 |
| 648 | 2025-06-15 01:17:50 | train | 1 | 28756 | 12 | 0.500 | 57512.0 |
| 647 | 2025-06-12 15:20:25 | train | 1 | 28756 | 12 | 2.860 | 10054.5 |
| 646 | 2025-06-10 05:40:06 | train | 1 | 28756 | 12 | 2.220 | 12953.2 |
| 645 | 2025-06-09 02:58:20 | train | 1 | 28756 | 12 | 0.513 | 56054.6 |
| 644 | 2025-06-06 20:52:06 | train | 1 | 28756 | 12 | 2.236 | 12860.5 |
| 643 | 2025-06-05 10:50:49 | train | 1 | 28756 | 12 | 0.500 | 57512.0 |
| 642 | 2025-06-04 13:39:48 | train | 2 | 53800 | 146 | 6.080 | 8848.7 |
| 641 | 2025-06-02 21:48:33 | train | 2 | 53800 | 146 | 1.780 | 30224.7 |
| 640 | 2025-06-02 20:39:07 | train | 1 | 28756 | 12 | 0.513 | 56054.6 |
| 639 | 2025-06-01 19:05:58 | train | 1 | 28756 | 12 | 0.453 | 63479.0 |
| 638 | 2025-06-01 04:49:36 | train | 1 | 28756 | 12 | 1.906 | 15087.1 |
| 637 | 2025-05-23 01:29:47 | train | 1 | 28756 | 12 | 0.500 | 57512.0 |
| 636 | 2025-05-17 08:43:57 | train | 2 | 53800 | 146 | 8.236 | 6532.3 |
| 635 | 2025-05-15 21:42:11 | train | 1 | 28756 | 12 | 1.533 | 18758.0 |
| 634 | 2025-05-13 07:09:00 | train | 1 | 28756 | 12 | 1.046 | 27491.4 |
| 633 | 2025-05-10 17:56:32 | train | 1 | 28756 | 12 | 3.126 | 9199.0 |
| 632 | 2025-05-10 05:49:29 | train | 1 | 28756 | 12 | 1.033 | 27837.4 |
| 631 | 2025-05-08 01:41:31 | train | 1 | 28756 | 12 | 2.343 | 12273.2 |
| 630 | 2025-05-04 10:50:49 | train | 1 | 28756 | 12 | 1.936 | 14853.3 |
| 629 | 2025-05-02 20:58:50 | train | 1 | 28756 | 12 | 2.236 | 12860.5 |
| 628 | 2025-05-02 16:05:58 | train | 2 | 53800 | 146 | 7.810 | 6888.6 |
| 627 | 2025-04-30 21:42:36 | train | 2 | 53800 | 146 | 6.080 | 8848.7 |
| 626 | 2025-04-30 11:56:02 | train | 1 | 28756 | 12 | 3.416 | 8418.0 |
| 625 | 2025-04-29 15:44:35 | train | 2 | 53800 | 146 | 1.610 | 33416.1 |
| 624 | 2025-04-15 21:12:44 | train | 1 | 28756 | 12 | 2.390 | 12031.8 |
| 623 | 2025-04-12 11:22:56 | train | 1 | 28756 | 12 | 2.343 | 12273.2 |
| 622 | 2025-04-08 15:23:57 | train | 1 | 28756 | 12 | 1.783 | 16127.9 |
| 621 | 2025-04-08 12:50:13 | train | 2 | 53800 | 146 | 6.653 | 8086.6 |
| 620 | 2025-04-08 05:30:56 | train | 1 | 28756 | 12 | 0.436 | 65954.1 |
| 619 | 2025-04-07 05:38:45 | train | 2 | 53800 | 146 | 1.750 | 30742.9 |
| 618 | 2025-04-01 20:43:48 | train | 1 | 28756 | 12 | 1.623 | 17717.8 |
| 617 | 2025-03-30 22:27:41 | train | 2 | 53800 | 146 | 3.936 | 13668.7 |