History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"collar"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 717 | 2025-12-04 21:14:23 | collar | 1 | 48755 | 5 | 4.436 | 10990.8 |
| 716 | 2025-12-03 06:03:46 | collar | 1 | 48755 | 5 | 0.780 | 62506.4 |
| 715 | 2025-11-27 20:05:14 | collar | 2 | 82551 | 72 | 2.580 | 31996.5 |
| 714 | 2025-11-27 16:04:10 | collar | 1 | 48755 | 5 | 0.813 | 59969.2 |
| 713 | 2025-11-25 22:26:11 | collar | 1 | 48755 | 5 | 0.873 | 55847.7 |
| 712 | 2025-11-25 05:01:26 | collar | 1 | 48755 | 5 | 0.920 | 52994.6 |
| 711 | 2025-11-24 14:12:39 | collar | 1 | 48755 | 5 | 1.796 | 27146.4 |
| 710 | 2025-11-23 09:12:00 | collar | 1 | 48755 | 5 | 1.766 | 27607.6 |
| 709 | 2025-11-23 07:35:06 | collar | 1 | 48755 | 5 | 3.513 | 13878.5 |
| 708 | 2025-11-19 12:03:24 | collar | 1 | 48755 | 5 | 0.953 | 51159.5 |
| 707 | 2025-11-17 22:39:57 | collar | 1 | 48755 | 5 | 0.890 | 54780.9 |
| 706 | 2025-11-17 15:53:11 | collar | 1 | 48755 | 5 | 0.796 | 61250.0 |
| 705 | 2025-11-16 21:32:23 | collar | 1 | 48755 | 5 | 1.580 | 30857.6 |
| 704 | 2025-11-15 19:32:41 | collar | 1 | 48755 | 5 | 0.936 | 52088.7 |
| 703 | 2025-11-15 06:32:37 | collar | 1 | 48755 | 5 | 0.986 | 49447.3 |
| 702 | 2025-11-13 19:04:07 | collar | 2 | 82551 | 72 | 2.860 | 28864.0 |
| 701 | 2025-11-12 08:42:33 | collar | 1 | 48755 | 5 | 0.796 | 61250.0 |
| 700 | 2025-11-11 23:31:53 | collar | 1 | 48755 | 5 | 0.876 | 55656.4 |
| 699 | 2025-11-10 17:06:25 | collar | 2 | 82551 | 72 | 2.546 | 32423.8 |
| 698 | 2025-11-08 16:14:21 | collar | 1 | 48755 | 5 | 0.780 | 62506.4 |
| 697 | 2025-11-05 04:31:17 | collar | 1 | 48755 | 5 | 0.856 | 56956.8 |
| 696 | 2025-10-29 20:44:23 | collar | 1 | 48755 | 5 | 0.876 | 55656.4 |
| 695 | 2025-10-25 13:57:37 | collar | 1 | 48755 | 5 | 0.813 | 59969.2 |
| 694 | 2025-10-23 10:28:59 | collar | 1 | 48755 | 5 | 1.983 | 24586.5 |
| 693 | 2025-10-20 04:41:46 | collar | 1 | 48755 | 5 | 0.873 | 55847.7 |
| 692 | 2025-10-19 17:50:32 | collar | 1 | 48755 | 5 | 1.780 | 27390.4 |
| 691 | 2025-10-16 22:07:50 | collar | 1 | 48755 | 5 | 0.860 | 56691.9 |
| 690 | 2025-09-26 11:38:48 | collar | 1 | 48755 | 5 | 0.873 | 55847.7 |
| 689 | 2025-09-24 22:22:53 | collar | 1 | 48755 | 5 | 3.280 | 14864.3 |
| 688 | 2025-09-24 22:22:45 | collar | 1 | 48755 | 5 | 2.280 | 21383.8 |
| 687 | 2025-09-24 22:22:38 | collar | 1 | 48755 | 5 | 3.326 | 14658.7 |
| 686 | 2025-09-24 22:22:32 | collar | 1 | 48755 | 5 | 3.283 | 14850.7 |
| 685 | 2025-09-24 13:53:46 | collar | 1 | 48755 | 5 | 0.910 | 53576.9 |
| 684 | 2025-09-23 08:28:06 | collar | 1 | 48755 | 5 | 0.843 | 57835.1 |
| 683 | 2025-09-22 12:34:42 | collar | 1 | 48755 | 5 | 0.813 | 59969.2 |
| 682 | 2025-09-22 03:21:13 | collar | 1 | 48755 | 5 | 0.780 | 62506.4 |
| 681 | 2025-09-17 22:10:29 | collar | 1 | 48755 | 5 | 0.856 | 56956.8 |
| 680 | 2025-09-14 21:58:08 | collar | 1 | 48755 | 5 | 1.750 | 27860.0 |
| 679 | 2025-09-14 21:08:55 | collar | 1 | 48755 | 5 | 0.893 | 54596.9 |
| 678 | 2025-09-14 14:24:22 | collar | 1 | 48755 | 5 | 0.920 | 52994.6 |
| 677 | 2025-09-14 07:08:43 | collar | 1 | 48755 | 5 | 0.860 | 56691.9 |
| 676 | 2025-09-11 06:24:13 | collar | 1 | 48755 | 5 | 0.890 | 54780.9 |
| 675 | 2025-09-09 18:34:57 | collar | 3 | 112716 | 670 | 5.453 | 20670.5 |
| 674 | 2025-09-07 23:30:30 | collar | 1 | 48755 | 5 | 0.780 | 62506.4 |
| 673 | 2025-09-06 16:09:55 | collar | 1 | 48755 | 5 | 0.860 | 56691.9 |
| 672 | 2025-09-04 16:30:51 | collar | 1 | 48755 | 5 | 0.890 | 54780.9 |
| 671 | 2025-09-04 04:45:42 | collar | 1 | 48755 | 5 | 0.856 | 56956.8 |
| 670 | 2025-09-03 16:26:20 | collar | 2 | 82551 | 72 | 2.360 | 34979.2 |
| 669 | 2025-09-01 09:08:42 | collar | 1 | 48755 | 5 | 0.783 | 62266.9 |
| 668 | 2025-08-29 01:32:14 | collar | 1 | 48755 | 5 | 0.890 | 54780.9 |
| 667 | 2025-08-25 18:49:24 | collar | 1 | 48755 | 5 | 0.780 | 62506.4 |
| 666 | 2025-08-24 07:43:56 | collar | 1 | 48755 | 5 | 4.360 | 11182.3 |
| 665 | 2025-08-22 16:28:41 | collar | 1 | 48755 | 5 | 0.860 | 56691.9 |
| 664 | 2025-08-22 10:15:11 | collar | 1 | 48755 | 5 | 2.783 | 17518.9 |
| 663 | 2025-08-17 14:32:08 | collar | 3 | 112716 | 670 | 15.626 | 7213.4 |
| 662 | 2025-08-17 10:56:39 | collar | 3 | 112716 | 670 | 22.516 | 5006.0 |
| 661 | 2025-08-17 07:32:51 | collar | 2 | 82551 | 72 | 5.970 | 13827.6 |
| 660 | 2025-08-16 10:17:34 | collar | 1 | 48755 | 5 | 1.936 | 25183.4 |
| 659 | 2025-08-15 01:58:09 | collar | 1 | 48755 | 5 | 1.876 | 25988.8 |
| 658 | 2025-08-14 21:37:18 | collar | 3 | 112716 | 670 | 15.016 | 7506.4 |
| 657 | 2025-08-07 21:15:49 | collar | 1 | 48755 | 5 | 0.796 | 61250.0 |
| 656 | 2025-08-06 09:00:32 | collar | 3 | 112716 | 670 | 20.876 | 5399.3 |
| 655 | 2025-08-04 14:03:21 | collar | 1 | 48755 | 5 | 0.923 | 52822.3 |
| 654 | 2025-08-03 23:12:11 | collar | 1 | 48755 | 5 | 3.890 | 12533.4 |
| 653 | 2025-08-03 16:12:54 | collar | 3 | 112716 | 670 | 51.376 | 2193.9 |
| 652 | 2025-08-01 00:51:22 | collar | 1 | 48755 | 5 | 2.300 | 21197.8 |
| 651 | 2025-07-27 20:09:47 | collar | 3 | 112716 | 670 | 19.080 | 5907.5 |
| 650 | 2025-07-26 13:17:58 | collar | 1 | 48755 | 5 | 1.953 | 24964.2 |
| 649 | 2025-07-23 08:06:45 | collar | 3 | 112716 | 670 | 24.580 | 4585.7 |
| 648 | 2025-07-23 07:32:26 | collar | 1 | 48755 | 5 | 4.576 | 10654.5 |
| 647 | 2025-07-23 05:15:29 | collar | 1 | 48755 | 5 | 2.156 | 22613.6 |
| 646 | 2025-07-22 20:23:44 | collar | 3 | 112716 | 670 | 37.830 | 2979.5 |
| 645 | 2025-07-22 12:21:41 | collar | 1 | 48755 | 5 | 1.843 | 26454.2 |
| 644 | 2025-07-19 21:27:47 | collar | 1 | 48755 | 5 | 0.910 | 53576.9 |
| 643 | 2025-07-18 07:41:27 | collar | 3 | 112716 | 670 | 21.983 | 5127.4 |
| 642 | 2025-07-14 11:10:30 | collar | 1 | 48755 | 5 | 3.453 | 14119.6 |
| 641 | 2025-07-14 00:11:22 | collar | 2 | 82551 | 72 | 13.173 | 6266.7 |
| 640 | 2025-07-13 05:40:07 | collar | 1 | 48755 | 5 | 0.843 | 57835.1 |
| 639 | 2025-07-13 01:57:04 | collar | 1 | 48755 | 5 | 5.030 | 9692.8 |
| 638 | 2025-07-06 13:30:54 | collar | 1 | 48755 | 5 | 0.903 | 53992.2 |
| 637 | 2025-07-03 22:43:28 | collar | 1 | 48755 | 5 | 3.266 | 14928.0 |
| 636 | 2025-06-26 01:19:16 | collar | 1 | 48755 | 5 | 4.720 | 10329.4 |
| 635 | 2025-06-25 16:52:14 | collar | 1 | 48755 | 5 | 0.903 | 53992.2 |
| 634 | 2025-06-22 10:23:16 | collar | 2 | 82551 | 72 | 11.296 | 7308.0 |
| 633 | 2025-06-20 11:44:31 | collar | 2 | 82551 | 72 | 12.890 | 6404.3 |
| 632 | 2025-06-20 05:51:12 | collar | 1 | 48755 | 5 | 4.390 | 11105.9 |
| 631 | 2025-06-19 17:46:45 | collar | 1 | 48755 | 5 | 0.923 | 52822.3 |
| 630 | 2025-06-19 14:33:32 | collar | 3 | 112716 | 670 | 5.903 | 19094.7 |
| 629 | 2025-06-16 03:51:04 | collar | 3 | 112716 | 670 | 26.220 | 4298.9 |
| 628 | 2025-06-15 18:23:16 | collar | 3 | 112716 | 670 | 6.706 | 16808.2 |
| 627 | 2025-06-14 11:30:51 | collar | 3 | 112716 | 670 | 26.936 | 4184.6 |
| 626 | 2025-06-13 10:29:48 | collar | 1 | 48755 | 5 | 4.313 | 11304.2 |
| 625 | 2025-06-12 14:04:10 | collar | 1 | 48755 | 5 | 3.766 | 12946.1 |
| 624 | 2025-06-12 01:42:30 | collar | 1 | 48755 | 5 | 4.173 | 11683.4 |
| 623 | 2025-06-01 22:28:13 | collar | 1 | 48755 | 5 | 3.626 | 13445.9 |
| 622 | 2025-05-25 07:46:33 | collar | 1 | 48755 | 5 | 0.860 | 56691.9 |
| 621 | 2025-05-22 20:45:53 | collar | 1 | 48755 | 5 | 0.860 | 56691.9 |
| 620 | 2025-05-16 09:19:32 | collar | 1 | 48755 | 5 | 2.203 | 22131.2 |
| 619 | 2025-05-13 10:18:48 | collar | 1 | 48755 | 5 | 3.750 | 13001.3 |
| 618 | 2025-05-13 03:03:58 | collar | 1 | 48755 | 5 | 4.173 | 11683.4 |