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 |
| 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 |
| 612 | 2025-05-05 14:12:50 | knots | 1 | 28756 | 8 | 0.483 | 59536.2 |
| 611 | 2025-05-02 16:15:26 | knots | 1 | 28756 | 8 | 2.516 | 11429.3 |
| 610 | 2025-05-02 00:33:48 | knots | 2 | 53800 | 124 | 6.390 | 8419.4 |
| 609 | 2025-05-01 05:27:50 | knots | 2 | 53800 | 124 | 10.720 | 5018.7 |
| 608 | 2025-04-29 10:57:32 | knots | 2 | 53800 | 124 | 2.033 | 26463.4 |
| 607 | 2025-04-28 19:26:13 | knots | 1 | 28756 | 8 | 0.486 | 59168.7 |
| 606 | 2025-04-16 17:18:41 | knots | 1 | 28756 | 8 | 0.830 | 34645.8 |
| 605 | 2025-04-08 05:19:01 | knots | 2 | 53800 | 124 | 1.796 | 29955.5 |
| 604 | 2025-04-02 19:59:31 | knots | 2 | 53800 | 124 | 8.126 | 6620.7 |
| 603 | 2025-04-01 02:04:10 | knots | 1 | 28756 | 8 | 1.343 | 21411.8 |
| 602 | 2025-03-30 15:29:12 | knots | 2 | 53800 | 124 | 1.763 | 30516.2 |
| 601 | 2025-03-26 11:35:13 | knots | 1 | 28756 | 8 | 0.530 | 54256.6 |
| 600 | 2025-03-16 20:03:04 | knots | 1 | 28756 | 8 | 0.923 | 31154.9 |
| 599 | 2025-03-11 00:13:38 | knots | 2 | 53800 | 124 | 11.423 | 4709.8 |
| 598 | 2025-03-10 11:18:28 | knots | 2 | 53800 | 124 | 3.843 | 13999.5 |
| 597 | 2025-03-09 12:54:01 | knots | 2 | 53800 | 124 | 6.800 | 7911.8 |
| 596 | 2025-03-08 07:07:29 | knots | 1 | 28756 | 8 | 3.233 | 8894.5 |
| 595 | 2025-03-06 23:30:33 | knots | 2 | 53800 | 124 | 6.470 | 8315.3 |
| 594 | 2025-03-06 18:53:47 | knots | 2 | 53800 | 124 | 11.403 | 4718.1 |
| 593 | 2025-03-06 17:41:30 | knots | 1 | 28756 | 8 | 1.000 | 28756.0 |
| 592 | 2025-03-05 11:30:53 | knots | 2 | 53800 | 124 | 7.406 | 7264.4 |
| 591 | 2025-02-27 20:18:31 | knots | 2 | 53800 | 124 | 7.626 | 7054.8 |
| 590 | 2025-02-27 20:17:56 | knots | 1 | 28756 | 8 | 0.970 | 29645.4 |
| 589 | 2025-02-23 02:18:34 | knots | 1 | 28756 | 8 | 2.546 | 11294.6 |
| 588 | 2025-02-18 07:37:28 | knots | 2 | 53800 | 124 | 4.796 | 11217.7 |
| 587 | 2025-02-17 18:30:44 | knots | 1 | 28756 | 8 | 2.733 | 10521.8 |
| 586 | 2025-02-07 19:42:58 | knots | 1 | 28756 | 8 | 2.330 | 12341.6 |
| 585 | 2025-02-05 11:00:35 | knots | 1 | 28756 | 8 | 0.470 | 61183.0 |
| 584 | 2025-02-04 05:27:12 | knots | 2 | 53800 | 124 | 8.016 | 6711.6 |
| 583 | 2025-02-04 00:28:56 | knots | 2 | 53800 | 124 | 6.373 | 8441.9 |
| 582 | 2025-02-04 00:28:54 | knots | 1 | 28756 | 8 | 1.076 | 26724.9 |
| 581 | 2025-01-28 11:10:28 | knots | 2 | 53800 | 124 | 5.360 | 10037.3 |
| 580 | 2025-01-28 10:10:43 | knots | 1 | 28756 | 8 | 0.420 | 68466.7 |
| 579 | 2025-01-24 17:06:05 | knots | 2 | 53800 | 124 | 10.656 | 5048.8 |
| 578 | 2025-01-23 19:19:35 | knots | 1 | 28756 | 8 | 2.360 | 12184.7 |
| 577 | 2025-01-17 21:47:12 | knots | 1 | 28756 | 8 | 2.890 | 9950.2 |