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 |
| 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 |
| 640 | 2025-07-08 14:03:13 | knots | 1 | 28756 | 8 | 2.546 | 11294.6 |
| 639 | 2025-07-07 14:00:44 | knots | 1 | 28756 | 8 | 1.140 | 25224.6 |
| 638 | 2025-07-05 05:20:08 | knots | 2 | 53800 | 124 | 6.563 | 8197.5 |
| 637 | 2025-07-02 18:13:09 | knots | 1 | 28756 | 8 | 2.500 | 11502.4 |
| 636 | 2025-06-30 20:09:32 | knots | 2 | 53800 | 124 | 3.893 | 13819.7 |
| 635 | 2025-06-29 10:13:05 | knots | 1 | 28756 | 8 | 2.406 | 11951.8 |
| 634 | 2025-06-25 10:43:39 | knots | 2 | 53800 | 124 | 1.310 | 41068.7 |
| 633 | 2025-06-19 01:24:32 | knots | 1 | 28756 | 8 | 0.436 | 65954.1 |
| 632 | 2025-06-18 20:30:29 | knots | 1 | 28756 | 8 | 1.283 | 22413.1 |
| 631 | 2025-06-18 00:11:38 | knots | 2 | 53800 | 124 | 4.000 | 13450.0 |
| 630 | 2025-06-15 12:10:48 | knots | 2 | 53800 | 124 | 8.406 | 6400.2 |
| 629 | 2025-06-13 21:00:32 | knots | 1 | 28756 | 8 | 3.420 | 8408.2 |
| 628 | 2025-06-07 14:55:02 | knots | 1 | 28756 | 8 | 0.500 | 57512.0 |
| 627 | 2025-06-02 13:04:14 | knots | 1 | 28756 | 8 | 1.156 | 24875.4 |
| 626 | 2025-06-01 06:21:58 | knots | 1 | 28756 | 8 | 2.076 | 13851.6 |
| 625 | 2025-05-31 21:45:16 | knots | 1 | 28756 | 8 | 2.250 | 12780.4 |
| 624 | 2025-05-31 02:44:38 | knots | 1 | 28756 | 8 | 1.296 | 22188.3 |
| 623 | 2025-05-29 09:37:47 | knots | 1 | 28756 | 8 | 1.920 | 14977.1 |
| 622 | 2025-05-29 01:36:11 | knots | 1 | 28756 | 8 | 0.936 | 30722.2 |
| 621 | 2025-05-27 16:49:39 | knots | 1 | 28756 | 8 | 0.516 | 55728.7 |
| 620 | 2025-05-25 21:18:40 | knots | 1 | 28756 | 8 | 0.500 | 57512.0 |
| 619 | 2025-05-24 12:39:48 | knots | 2 | 53800 | 124 | 3.703 | 14528.8 |
| 618 | 2025-05-18 15:25:44 | knots | 1 | 28756 | 8 | 1.330 | 21621.1 |
| 617 | 2025-05-17 00:03:55 | knots | 2 | 53800 | 124 | 6.936 | 7756.6 |
| 616 | 2025-05-11 17:54:45 | knots | 1 | 28756 | 8 | 0.440 | 65354.5 |
| 615 | 2025-05-09 18:07:14 | knots | 1 | 28756 | 8 | 0.486 | 59168.7 |
| 614 | 2025-05-07 14:58:14 | knots | 2 | 53800 | 124 | 1.500 | 35866.7 |
| 613 | 2025-05-06 23:05:06 | knots | 1 | 28756 | 8 | 0.483 | 59536.2 |