History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"knots"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 740 | 2026-03-07 13:07:02 | knots | 1 | 28756 | 8 | 1.780 | 16155.1 |
| 739 | 2026-03-07 04:12:30 | knots | 1 | 28756 | 8 | 0.486 | 59168.7 |
| 738 | 2026-03-06 13:25:36 | knots | 1 | 28756 | 8 | 0.420 | 68466.7 |
| 737 | 2026-03-06 12:37:06 | knots | 1 | 28756 | 8 | 0.513 | 56054.6 |
| 736 | 2026-03-05 20:53:01 | knots | 1 | 28756 | 8 | 0.453 | 63479.0 |
| 735 | 2026-03-05 17:43:46 | knots | 1 | 28756 | 8 | 0.440 | 65354.5 |
| 734 | 2026-03-05 09:54:22 | knots | 1 | 28756 | 8 | 0.500 | 57512.0 |
| 733 | 2026-03-04 23:12:38 | knots | 1 | 28756 | 8 | 0.466 | 61708.2 |
| 732 | 2026-03-04 11:30:36 | knots | 1 | 28756 | 8 | 0.483 | 59536.2 |
| 731 | 2026-03-03 16:20:56 | knots | 1 | 28756 | 8 | 0.453 | 63479.0 |
| 730 | 2026-03-02 19:09:34 | knots | 1 | 28756 | 8 | 0.563 | 51076.4 |
| 729 | 2026-03-02 05:02:51 | knots | 1 | 28756 | 8 | 0.470 | 61183.0 |
| 728 | 2026-02-21 11:41:39 | knots | 1 | 28756 | 8 | 0.466 | 61708.2 |
| 727 | 2026-02-20 16:38:21 | knots | 1 | 28756 | 8 | 1.000 | 28756.0 |
| 726 | 2026-02-20 14:33:25 | knots | 1 | 28756 | 8 | 0.543 | 52957.6 |
| 725 | 2026-02-20 10:54:13 | knots | 1 | 28756 | 8 | 0.453 | 63479.0 |
| 724 | 2026-02-20 09:46:51 | knots | 1 | 28756 | 8 | 0.466 | 61708.2 |
| 723 | 2026-02-19 21:41:49 | knots | 1 | 28756 | 8 | 0.470 | 61183.0 |
| 722 | 2026-02-19 17:37:30 | knots | 1 | 28756 | 8 | 0.533 | 53951.2 |
| 721 | 2026-02-19 09:33:48 | knots | 1 | 28756 | 8 | 0.466 | 61708.2 |
| 720 | 2026-02-19 04:59:21 | knots | 1 | 28756 | 8 | 0.483 | 59536.2 |
| 719 | 2026-02-18 05:40:53 | knots | 1 | 28756 | 8 | 0.500 | 57512.0 |
| 718 | 2026-02-17 21:11:55 | knots | 1 | 28756 | 8 | 2.686 | 10705.9 |
| 717 | 2026-02-15 04:33:43 | knots | 1 | 28756 | 8 | 2.233 | 12877.7 |
| 716 | 2026-02-11 11:39:44 | knots | 1 | 28756 | 8 | 0.983 | 29253.3 |
| 715 | 2026-02-11 08:04:25 | knots | 1 | 28756 | 8 | 1.356 | 21206.5 |
| 714 | 2026-02-05 04:38:02 | knots | 1 | 28756 | 8 | 0.470 | 61183.0 |
| 713 | 2026-01-30 03:12:44 | knots | 1 | 28756 | 8 | 0.500 | 57512.0 |
| 712 | 2026-01-29 06:10:09 | knots | 1 | 28756 | 8 | 0.436 | 65954.1 |
| 711 | 2026-01-25 06:27:57 | knots | 2 | 53800 | 124 | 1.626 | 33087.3 |
| 710 | 2026-01-21 04:13:18 | knots | 1 | 28756 | 8 | 0.546 | 52666.7 |
| 709 | 2026-01-17 14:56:15 | knots | 1 | 28756 | 8 | 0.483 | 59536.2 |
| 708 | 2026-01-16 22:01:50 | knots | 1 | 28756 | 8 | 1.390 | 20687.8 |
| 707 | 2026-01-16 21:36:21 | knots | 1 | 28756 | 8 | 0.500 | 57512.0 |
| 706 | 2026-01-15 17:21:51 | knots | 1 | 28756 | 8 | 0.453 | 63479.0 |
| 705 | 2026-01-10 21:07:54 | knots | 1 | 28756 | 8 | 0.483 | 59536.2 |
| 704 | 2026-01-07 20:33:58 | knots | 1 | 28756 | 8 | 0.500 | 57512.0 |
| 703 | 2026-01-07 18:57:58 | knots | 1 | 28756 | 8 | 0.500 | 57512.0 |
| 702 | 2026-01-05 06:27:03 | knots | 1 | 28756 | 8 | 1.046 | 27491.4 |
| 701 | 2026-01-03 16:16:03 | knots | 1 | 28756 | 8 | 1.156 | 24875.4 |
| 700 | 2026-01-01 00:50:34 | knots | 1 | 28756 | 8 | 0.826 | 34813.6 |
| 699 | 2026-01-01 00:50:00 | knots | 1 | 28756 | 8 | 0.436 | 65954.1 |
| 698 | 2025-12-30 03:57:47 | knots | 1 | 28756 | 8 | 0.500 | 57512.0 |
| 697 | 2025-12-30 02:23:56 | knots | 1 | 28756 | 8 | 0.500 | 57512.0 |
| 696 | 2025-12-30 02:20:34 | knots | 1 | 28756 | 8 | 0.953 | 30174.2 |
| 695 | 2025-12-25 13:17:24 | knots | 1 | 28756 | 8 | 0.563 | 51076.4 |
| 694 | 2025-12-25 09:28:56 | knots | 2 | 53800 | 124 | 1.593 | 33772.8 |
| 693 | 2025-12-24 13:16:09 | knots | 1 | 28756 | 8 | 2.173 | 13233.3 |
| 692 | 2025-12-17 22:19:17 | knots | 1 | 28756 | 8 | 0.483 | 59536.2 |
| 691 | 2025-12-17 00:58:33 | knots | 1 | 28756 | 8 | 2.406 | 11951.8 |
| 690 | 2025-12-11 07:13:15 | knots | 1 | 28756 | 8 | 0.783 | 36725.4 |
| 689 | 2025-12-03 10:28:55 | knots | 1 | 28756 | 8 | 0.470 | 61183.0 |
| 688 | 2025-12-02 14:41:11 | knots | 1 | 28756 | 8 | 0.470 | 61183.0 |
| 687 | 2025-11-24 14:30:30 | knots | 1 | 28756 | 8 | 0.516 | 55728.7 |
| 686 | 2025-11-24 09:16:36 | knots | 1 | 28756 | 8 | 0.890 | 32310.1 |
| 685 | 2025-11-23 03:01:01 | knots | 2 | 53800 | 124 | 1.546 | 34799.5 |
| 684 | 2025-11-20 18:05:33 | knots | 1 | 28756 | 8 | 0.436 | 65954.1 |
| 683 | 2025-11-19 04:45:58 | knots | 1 | 28756 | 8 | 0.513 | 56054.6 |
| 682 | 2025-11-15 18:13:59 | knots | 1 | 28756 | 8 | 0.466 | 61708.2 |
| 681 | 2025-11-15 02:14:01 | knots | 1 | 28756 | 8 | 0.436 | 65954.1 |
| 680 | 2025-11-14 23:19:42 | knots | 1 | 28756 | 8 | 0.440 | 65354.5 |
| 679 | 2025-11-12 10:30:52 | knots | 1 | 28756 | 8 | 0.610 | 47141.0 |
| 678 | 2025-11-11 12:54:17 | knots | 1 | 28756 | 8 | 0.436 | 65954.1 |
| 677 | 2025-11-11 11:24:59 | knots | 1 | 28756 | 8 | 0.516 | 55728.7 |
| 676 | 2025-11-02 09:50:49 | knots | 1 | 28756 | 8 | 0.440 | 65354.5 |
| 675 | 2025-10-25 04:12:09 | knots | 1 | 28756 | 8 | 0.516 | 55728.7 |
| 674 | 2025-10-10 15:10:02 | knots | 1 | 28756 | 8 | 0.453 | 63479.0 |
| 673 | 2025-10-06 11:21:00 | knots | 1 | 28756 | 8 | 0.483 | 59536.2 |
| 672 | 2025-10-02 07:29:39 | knots | 1 | 28756 | 8 | 0.440 | 65354.5 |
| 671 | 2025-09-30 23:01:05 | knots | 1 | 28756 | 8 | 0.420 | 68466.7 |
| 670 | 2025-09-28 14:54:01 | knots | 1 | 28756 | 8 | 0.423 | 67981.1 |
| 669 | 2025-09-16 02:46:33 | knots | 1 | 28756 | 8 | 0.423 | 67981.1 |
| 668 | 2025-09-14 03:22:05 | knots | 1 | 28756 | 8 | 0.500 | 57512.0 |
| 667 | 2025-09-13 10:26:45 | knots | 2 | 53800 | 124 | 1.610 | 33416.1 |
| 666 | 2025-09-13 03:24:57 | knots | 2 | 53800 | 124 | 1.686 | 31909.8 |
| 665 | 2025-09-01 17:35:08 | knots | 1 | 28756 | 8 | 0.436 | 65954.1 |
| 664 | 2025-08-31 19:46:49 | knots | 1 | 28756 | 8 | 0.500 | 57512.0 |
| 663 | 2025-08-31 12:20:22 | knots | 1 | 28756 | 8 | 0.500 | 57512.0 |
| 662 | 2025-08-25 11:01:31 | knots | 2 | 53800 | 124 | 4.250 | 12658.8 |
| 661 | 2025-08-24 04:43:05 | knots | 2 | 53800 | 124 | 6.360 | 8459.1 |
| 660 | 2025-08-22 03:00:18 | knots | 1 | 28756 | 8 | 0.440 | 65354.5 |
| 659 | 2025-08-18 20:58:47 | knots | 1 | 28756 | 8 | 1.470 | 19561.9 |
| 658 | 2025-08-14 12:00:16 | knots | 2 | 53800 | 124 | 1.500 | 35866.7 |
| 657 | 2025-08-13 22:03:12 | knots | 2 | 53800 | 124 | 1.343 | 40059.6 |
| 656 | 2025-08-13 07:19:29 | knots | 1 | 28756 | 8 | 0.483 | 59536.2 |
| 655 | 2025-08-09 21:01:59 | knots | 1 | 28756 | 8 | 1.250 | 23004.8 |
| 654 | 2025-08-08 21:34:00 | knots | 2 | 53800 | 124 | 7.703 | 6984.3 |
| 653 | 2025-08-07 20:21:31 | knots | 1 | 28756 | 8 | 2.046 | 14054.7 |
| 652 | 2025-08-04 06:22:12 | knots | 1 | 28756 | 8 | 0.423 | 67981.1 |
| 651 | 2025-08-03 02:26:51 | knots | 1 | 28756 | 8 | 1.486 | 19351.3 |
| 650 | 2025-08-02 08:49:52 | knots | 1 | 28756 | 8 | 2.390 | 12031.8 |
| 649 | 2025-07-30 13:10:57 | knots | 1 | 28756 | 8 | 2.403 | 11966.7 |
| 648 | 2025-07-30 09:25:52 | knots | 1 | 28756 | 8 | 0.813 | 35370.2 |
| 647 | 2025-07-22 22:25:14 | knots | 2 | 53800 | 124 | 4.136 | 13007.7 |
| 646 | 2025-07-20 19:11:55 | knots | 1 | 28756 | 8 | 0.516 | 55728.7 |
| 645 | 2025-07-20 07:28:41 | knots | 2 | 53800 | 124 | 1.813 | 29674.6 |
| 644 | 2025-07-19 00:19:33 | knots | 1 | 28756 | 8 | 0.483 | 59536.2 |
| 643 | 2025-07-16 11:11:47 | knots | 2 | 53800 | 124 | 3.876 | 13880.3 |
| 642 | 2025-07-15 23:42:28 | knots | 2 | 53800 | 124 | 5.813 | 9255.1 |
| 641 | 2025-07-10 16:04:05 | knots | 2 | 53800 | 124 | 7.720 | 6968.9 |