History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"clusters"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 693 | 2025-11-13 09:13:21 | clusters | 1 | 82945 | 8 | 1.533 | 54106.3 |
| 692 | 2025-11-07 22:50:59 | clusters | 1 | 82945 | 8 | 1.450 | 57203.4 |
| 691 | 2025-10-31 03:58:46 | clusters | 1 | 82945 | 8 | 1.533 | 54106.3 |
| 690 | 2025-10-29 20:55:08 | clusters | 1 | 82945 | 8 | 2.983 | 27805.9 |
| 689 | 2025-10-28 14:02:47 | clusters | 1 | 82945 | 8 | 1.516 | 54713.1 |
| 688 | 2025-10-26 18:49:25 | clusters | 1 | 82945 | 8 | 1.453 | 57085.3 |
| 687 | 2025-10-25 14:02:58 | clusters | 1 | 82945 | 8 | 1.436 | 57761.1 |
| 686 | 2025-10-24 21:53:37 | clusters | 1 | 82945 | 8 | 1.436 | 57761.1 |
| 685 | 2025-10-23 18:27:19 | clusters | 1 | 82945 | 8 | 1.436 | 57761.1 |
| 684 | 2025-10-05 00:28:29 | clusters | 2 | 121059 | 63 | 3.843 | 31501.2 |
| 683 | 2025-10-02 08:02:42 | clusters | 1 | 82945 | 8 | 1.313 | 63172.1 |
| 682 | 2025-10-02 04:31:11 | clusters | 1 | 82945 | 8 | 1.500 | 55296.7 |
| 681 | 2025-09-27 21:38:34 | clusters | 1 | 82945 | 8 | 1.546 | 53651.4 |
| 680 | 2025-09-27 11:59:16 | clusters | 1 | 82945 | 8 | 1.373 | 60411.5 |
| 679 | 2025-09-25 22:32:33 | clusters | 1 | 82945 | 8 | 9.533 | 8700.8 |
| 678 | 2025-09-25 22:32:31 | clusters | 1 | 82945 | 8 | 4.913 | 16882.8 |
| 677 | 2025-09-25 11:52:02 | clusters | 1 | 82945 | 8 | 1.780 | 46598.3 |
| 676 | 2025-09-23 12:09:25 | clusters | 1 | 82945 | 8 | 1.326 | 62552.8 |
| 675 | 2025-09-20 21:52:02 | clusters | 1 | 82945 | 8 | 1.560 | 53169.9 |
| 674 | 2025-09-19 07:15:26 | clusters | 1 | 82945 | 8 | 1.356 | 61168.9 |
| 673 | 2025-09-18 06:21:07 | clusters | 1 | 82945 | 8 | 1.500 | 55296.7 |
| 672 | 2025-09-13 01:16:47 | clusters | 3 | 146162 | 527 | 6.813 | 21453.4 |
| 671 | 2025-09-11 09:56:45 | clusters | 1 | 82945 | 8 | 1.403 | 59119.7 |
| 670 | 2025-08-27 11:46:14 | clusters | 1 | 82945 | 8 | 1.440 | 57600.7 |
| 669 | 2025-08-26 23:13:18 | clusters | 1 | 82945 | 8 | 1.423 | 58288.8 |
| 668 | 2025-08-26 20:38:26 | clusters | 1 | 82945 | 8 | 1.453 | 57085.3 |
| 667 | 2025-08-12 22:06:52 | clusters | 1 | 82945 | 8 | 3.656 | 22687.4 |
| 666 | 2025-08-09 01:17:26 | clusters | 1 | 82945 | 8 | 6.843 | 12121.1 |
| 665 | 2025-08-04 20:37:36 | clusters | 2 | 121059 | 63 | 8.596 | 14083.2 |
| 664 | 2025-08-03 04:37:40 | clusters | 2 | 121059 | 63 | 7.406 | 16346.1 |
| 663 | 2025-08-01 00:57:59 | clusters | 1 | 82945 | 8 | 7.970 | 10407.2 |
| 662 | 2025-07-26 22:27:04 | clusters | 1 | 82945 | 8 | 3.656 | 22687.4 |
| 661 | 2025-07-25 19:46:17 | clusters | 1 | 82945 | 8 | 1.533 | 54106.3 |
| 660 | 2025-07-24 09:43:23 | clusters | 2 | 121059 | 63 | 28.860 | 4194.7 |
| 659 | 2025-07-24 01:39:03 | clusters | 1 | 82945 | 8 | 3.670 | 22600.8 |
| 658 | 2025-07-23 06:50:33 | clusters | 1 | 82945 | 8 | 4.686 | 17700.6 |
| 657 | 2025-07-23 04:10:56 | clusters | 1 | 82945 | 8 | 3.376 | 24569.0 |
| 656 | 2025-07-23 03:49:58 | clusters | 1 | 82945 | 8 | 5.486 | 15119.4 |
| 655 | 2025-07-19 22:32:49 | clusters | 2 | 121059 | 63 | 3.940 | 30725.6 |
| 654 | 2025-07-19 20:12:58 | clusters | 3 | 146162 | 527 | 6.310 | 23163.5 |
| 653 | 2025-07-18 16:34:52 | clusters | 3 | 146162 | 527 | 27.770 | 5263.3 |
| 652 | 2025-07-17 13:00:18 | clusters | 3 | 146162 | 527 | 26.860 | 5441.6 |
| 651 | 2025-07-17 01:24:12 | clusters | 1 | 82945 | 8 | 3.280 | 25288.1 |
| 650 | 2025-07-16 22:08:27 | clusters | 1 | 82945 | 8 | 3.420 | 24252.9 |
| 649 | 2025-07-16 19:48:22 | clusters | 1 | 82945 | 8 | 3.826 | 21679.3 |
| 648 | 2025-07-14 09:57:29 | clusters | 3 | 146162 | 527 | 23.360 | 6256.9 |
| 647 | 2025-07-13 06:23:42 | clusters | 3 | 146162 | 527 | 28.093 | 5202.8 |
| 646 | 2025-07-12 10:01:11 | clusters | 1 | 82945 | 8 | 1.533 | 54106.3 |
| 645 | 2025-07-11 18:30:23 | clusters | 3 | 146162 | 527 | 34.220 | 4271.2 |
| 644 | 2025-07-11 01:53:57 | clusters | 2 | 121059 | 63 | 12.390 | 9770.7 |
| 643 | 2025-07-10 13:55:39 | clusters | 2 | 121059 | 63 | 8.046 | 15045.9 |
| 642 | 2025-07-10 12:49:51 | clusters | 2 | 121059 | 63 | 13.000 | 9312.2 |
| 641 | 2025-07-09 02:41:07 | clusters | 1 | 82945 | 8 | 1.313 | 63172.1 |
| 640 | 2025-07-07 17:55:03 | clusters | 2 | 121059 | 63 | 15.360 | 7881.4 |
| 639 | 2025-07-07 16:04:51 | clusters | 1 | 82945 | 8 | 7.140 | 11616.9 |
| 638 | 2025-07-01 23:55:36 | clusters | 1 | 82945 | 8 | 8.500 | 9758.2 |
| 637 | 2025-06-22 12:33:51 | clusters | 1 | 82945 | 8 | 6.936 | 11958.6 |
| 636 | 2025-06-18 00:03:27 | clusters | 1 | 82945 | 8 | 6.720 | 12343.0 |
| 635 | 2025-06-16 00:47:18 | clusters | 1 | 82945 | 8 | 3.970 | 20892.9 |
| 634 | 2025-06-15 21:50:28 | clusters | 1 | 82945 | 8 | 7.153 | 11595.8 |
| 633 | 2025-06-07 08:47:38 | clusters | 1 | 82945 | 8 | 6.970 | 11900.3 |
| 632 | 2025-05-24 12:22:12 | clusters | 3 | 146162 | 527 | 38.843 | 3762.9 |
| 631 | 2025-05-22 17:01:53 | clusters | 2 | 121059 | 63 | 9.423 | 12847.2 |
| 630 | 2025-05-22 09:03:48 | clusters | 3 | 146162 | 527 | 20.313 | 7195.5 |
| 629 | 2025-05-22 06:44:09 | clusters | 3 | 146162 | 527 | 29.206 | 5004.5 |
| 628 | 2025-05-21 12:28:40 | clusters | 1 | 82945 | 8 | 3.846 | 21566.6 |
| 627 | 2025-05-16 06:42:18 | clusters | 1 | 82945 | 8 | 4.056 | 20450.0 |
| 626 | 2025-05-16 00:51:08 | clusters | 1 | 82945 | 8 | 5.546 | 14955.8 |
| 625 | 2025-05-15 22:24:15 | clusters | 1 | 82945 | 8 | 6.456 | 12847.7 |
| 624 | 2025-05-15 21:48:13 | clusters | 1 | 82945 | 8 | 7.093 | 11693.9 |
| 623 | 2025-05-09 20:00:23 | clusters | 1 | 82945 | 8 | 3.516 | 23590.7 |
| 622 | 2025-04-30 10:10:29 | clusters | 3 | 146162 | 527 | 26.880 | 5437.6 |
| 621 | 2025-04-29 00:48:47 | clusters | 3 | 146162 | 527 | 33.126 | 4412.3 |
| 620 | 2025-04-21 11:37:52 | clusters | 1 | 82945 | 8 | 6.453 | 12853.7 |
| 619 | 2025-04-21 01:46:31 | clusters | 3 | 146162 | 527 | 32.750 | 4463.0 |
| 618 | 2025-04-20 10:32:37 | clusters | 3 | 146162 | 527 | 10.283 | 14213.9 |
| 617 | 2025-04-20 04:55:20 | clusters | 3 | 146162 | 527 | 50.010 | 2922.7 |
| 616 | 2025-04-18 17:35:11 | clusters | 3 | 146162 | 527 | 22.656 | 6451.4 |
| 615 | 2025-04-15 22:11:59 | clusters | 1 | 82945 | 8 | 4.390 | 18894.1 |
| 614 | 2025-04-15 21:07:27 | clusters | 1 | 82945 | 8 | 8.156 | 10169.8 |
| 613 | 2025-04-14 00:32:26 | clusters | 1 | 82945 | 8 | 6.453 | 12853.7 |
| 612 | 2025-04-05 08:38:32 | clusters | 1 | 82945 | 8 | 1.453 | 57085.3 |
| 611 | 2025-03-30 23:13:54 | clusters | 1 | 82945 | 8 | 3.670 | 22600.8 |
| 610 | 2025-03-27 21:08:17 | clusters | 3 | 146162 | 527 | 7.720 | 18932.9 |
| 609 | 2025-03-23 12:19:40 | clusters | 3 | 146162 | 527 | 35.956 | 4065.0 |
| 608 | 2025-03-22 10:17:54 | clusters | 3 | 146162 | 527 | 30.376 | 4811.8 |
| 607 | 2025-03-21 16:29:52 | clusters | 3 | 146162 | 527 | 33.673 | 4340.6 |
| 606 | 2025-03-20 13:39:55 | clusters | 1 | 82945 | 8 | 8.030 | 10329.4 |
| 605 | 2025-03-20 11:30:08 | clusters | 2 | 121059 | 63 | 11.046 | 10959.5 |
| 604 | 2025-03-20 06:17:28 | clusters | 3 | 146162 | 527 | 58.660 | 2491.7 |
| 603 | 2025-03-18 11:48:20 | clusters | 3 | 146162 | 527 | 35.283 | 4142.6 |
| 602 | 2025-03-17 18:36:29 | clusters | 2 | 121059 | 63 | 14.093 | 8590.0 |
| 601 | 2025-03-17 18:33:52 | clusters | 1 | 82945 | 8 | 5.683 | 14595.3 |
| 600 | 2025-03-17 17:49:55 | clusters | 3 | 146162 | 527 | 37.600 | 3887.3 |
| 599 | 2025-03-17 11:55:23 | clusters | 1 | 82945 | 8 | 4.563 | 18177.7 |
| 598 | 2025-03-17 08:09:14 | clusters | 3 | 146162 | 527 | 37.376 | 3910.6 |
| 597 | 2025-03-16 15:02:52 | clusters | 1 | 82945 | 8 | 3.623 | 22894.0 |
| 596 | 2025-03-16 11:43:22 | clusters | 1 | 82945 | 8 | 4.563 | 18177.7 |
| 595 | 2025-03-13 07:27:59 | clusters | 1 | 82945 | 8 | 7.080 | 11715.4 |
| 594 | 2025-02-27 18:08:40 | clusters | 2 | 121059 | 63 | 18.876 | 6413.4 |