History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"worst"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 747 | 2026-04-09 21:13:31 | worst | 1 | 28756 | 9 | 0.483 | 59536.2 |
| 746 | 2026-03-29 11:07:12 | worst | 1 | 28756 | 9 | 0.483 | 59536.2 |
| 745 | 2026-03-27 13:05:32 | worst | 1 | 28756 | 9 | 4.750 | 6053.9 |
| 744 | 2026-03-26 00:46:46 | worst | 1 | 28756 | 9 | 2.703 | 10638.5 |
| 743 | 2026-03-25 12:01:20 | worst | 2 | 53800 | 129 | 7.703 | 6984.3 |
| 742 | 2026-03-23 22:23:46 | worst | 2 | 53800 | 129 | 6.063 | 8873.5 |
| 741 | 2026-03-19 06:55:45 | worst | 1 | 28756 | 9 | 1.313 | 21901.0 |
| 740 | 2026-03-18 21:50:09 | worst | 2 | 53800 | 129 | 3.953 | 13609.9 |
| 739 | 2026-03-13 18:24:30 | worst | 1 | 28756 | 9 | 0.513 | 56054.6 |
| 738 | 2026-03-13 08:07:18 | worst | 2 | 53800 | 129 | 1.623 | 33148.5 |
| 737 | 2026-03-13 03:07:36 | worst | 1 | 28756 | 9 | 1.500 | 19170.7 |
| 736 | 2026-03-12 02:00:22 | worst | 2 | 53800 | 129 | 3.123 | 17227.0 |
| 735 | 2026-03-11 06:46:30 | worst | 1 | 28756 | 9 | 0.483 | 59536.2 |
| 734 | 2026-03-10 01:49:36 | worst | 1 | 28756 | 9 | 0.530 | 54256.6 |
| 733 | 2026-03-09 07:27:03 | worst | 1 | 28756 | 9 | 0.453 | 63479.0 |
| 732 | 2026-03-08 03:33:35 | worst | 1 | 28756 | 9 | 0.516 | 55728.7 |
| 731 | 2026-02-19 08:36:28 | worst | 1 | 28756 | 9 | 0.516 | 55728.7 |
| 730 | 2026-02-13 08:34:51 | worst | 2 | 53800 | 129 | 1.703 | 31591.3 |
| 729 | 2026-02-10 22:52:09 | worst | 2 | 53800 | 129 | 7.720 | 6968.9 |
| 728 | 2026-02-10 12:24:19 | worst | 1 | 28756 | 9 | 0.453 | 63479.0 |
| 727 | 2026-02-01 12:08:52 | worst | 2 | 53800 | 129 | 2.076 | 25915.2 |
| 726 | 2026-02-01 08:21:48 | worst | 2 | 53800 | 129 | 1.716 | 31352.0 |
| 725 | 2026-01-30 10:46:20 | worst | 2 | 53800 | 129 | 2.000 | 26900.0 |
| 724 | 2026-01-26 10:48:17 | worst | 2 | 53800 | 129 | 1.563 | 34421.0 |
| 723 | 2026-01-10 08:13:01 | worst | 1 | 28756 | 9 | 0.546 | 52666.7 |
| 722 | 2026-01-10 08:11:29 | worst | 1 | 28756 | 9 | 0.516 | 55728.7 |
| 721 | 2026-01-07 07:57:44 | worst | 1 | 28756 | 9 | 0.516 | 55728.7 |
| 720 | 2026-01-03 04:33:29 | worst | 1 | 28756 | 9 | 1.000 | 28756.0 |
| 719 | 2026-01-03 02:38:34 | worst | 1 | 28756 | 9 | 2.016 | 14263.9 |
| 718 | 2026-01-02 06:36:58 | worst | 1 | 28756 | 9 | 0.470 | 61183.0 |
| 717 | 2026-01-01 20:42:41 | worst | 1 | 28756 | 9 | 0.500 | 57512.0 |
| 716 | 2026-01-01 08:23:53 | worst | 2 | 53800 | 129 | 4.453 | 12081.7 |
| 715 | 2025-12-29 02:23:10 | worst | 1 | 28756 | 9 | 0.516 | 55728.7 |
| 714 | 2025-12-26 00:26:55 | worst | 1 | 28756 | 9 | 0.530 | 54256.6 |
| 713 | 2025-12-25 14:18:54 | worst | 1 | 28756 | 9 | 2.313 | 12432.3 |
| 712 | 2025-12-25 14:18:38 | worst | 1 | 28756 | 9 | 3.373 | 8525.3 |
| 711 | 2025-12-19 04:56:19 | worst | 1 | 28756 | 9 | 1.360 | 21144.1 |
| 710 | 2025-12-18 18:16:31 | worst | 1 | 28756 | 9 | 0.483 | 59536.2 |
| 709 | 2025-12-08 13:08:16 | worst | 1 | 28756 | 9 | 0.623 | 46157.3 |
| 708 | 2025-12-02 14:32:20 | worst | 1 | 28756 | 9 | 0.530 | 54256.6 |
| 707 | 2025-11-25 21:38:13 | worst | 2 | 53800 | 129 | 1.873 | 28724.0 |
| 706 | 2025-11-24 14:49:45 | worst | 1 | 28756 | 9 | 2.546 | 11294.6 |
| 705 | 2025-11-23 19:43:16 | worst | 2 | 53800 | 129 | 3.126 | 17210.5 |
| 704 | 2025-11-19 22:59:12 | worst | 2 | 53800 | 129 | 6.860 | 7842.6 |
| 703 | 2025-11-18 16:27:59 | worst | 1 | 28756 | 9 | 0.513 | 56054.6 |
| 702 | 2025-11-16 08:57:13 | worst | 1 | 28756 | 9 | 0.513 | 56054.6 |
| 701 | 2025-11-15 06:23:01 | worst | 1 | 28756 | 9 | 0.483 | 59536.2 |
| 700 | 2025-11-14 23:10:54 | worst | 1 | 28756 | 9 | 0.453 | 63479.0 |
| 699 | 2025-11-14 21:17:03 | worst | 1 | 28756 | 9 | 0.483 | 59536.2 |
| 698 | 2025-11-14 01:55:45 | worst | 1 | 28756 | 9 | 0.453 | 63479.0 |
| 697 | 2025-11-11 11:13:39 | worst | 1 | 28756 | 9 | 0.466 | 61708.2 |
| 696 | 2025-11-11 06:22:04 | worst | 1 | 28756 | 9 | 0.516 | 55728.7 |
| 695 | 2025-11-04 03:44:30 | worst | 1 | 28756 | 9 | 0.453 | 63479.0 |
| 694 | 2025-10-24 17:09:08 | worst | 1 | 28756 | 9 | 0.470 | 61183.0 |
| 693 | 2025-10-22 05:08:11 | worst | 1 | 28756 | 9 | 2.313 | 12432.3 |
| 692 | 2025-09-07 11:18:23 | worst | 1 | 28756 | 9 | 0.500 | 57512.0 |
| 691 | 2025-08-27 03:13:54 | worst | 1 | 28756 | 9 | 0.436 | 65954.1 |
| 690 | 2025-08-24 11:53:16 | worst | 1 | 28756 | 9 | 0.483 | 59536.2 |
| 689 | 2025-08-22 23:36:19 | worst | 1 | 28756 | 9 | 1.220 | 23570.5 |
| 688 | 2025-08-17 15:45:37 | worst | 1 | 28756 | 9 | 1.360 | 21144.1 |
| 687 | 2025-08-04 09:52:48 | worst | 1 | 28756 | 9 | 1.750 | 16432.0 |
| 686 | 2025-07-31 06:50:16 | worst | 1 | 28756 | 9 | 1.123 | 25606.4 |
| 685 | 2025-07-29 11:13:24 | worst | 2 | 53800 | 129 | 4.970 | 10824.9 |
| 684 | 2025-07-26 18:40:23 | worst | 2 | 53800 | 129 | 7.750 | 6941.9 |
| 683 | 2025-07-24 17:51:40 | worst | 1 | 28756 | 9 | 2.080 | 13825.0 |
| 682 | 2025-07-24 17:24:59 | worst | 2 | 53800 | 129 | 3.403 | 15809.6 |
| 681 | 2025-07-24 04:27:41 | worst | 1 | 28756 | 9 | 1.750 | 16432.0 |
| 680 | 2025-07-17 03:46:32 | worst | 2 | 53800 | 129 | 3.846 | 13988.6 |
| 679 | 2025-07-17 02:05:13 | worst | 1 | 28756 | 9 | 2.156 | 13337.7 |
| 678 | 2025-07-14 17:02:04 | worst | 1 | 28756 | 9 | 2.423 | 11867.9 |
| 677 | 2025-07-14 10:53:40 | worst | 1 | 28756 | 9 | 3.263 | 8812.7 |
| 676 | 2025-07-14 02:35:12 | worst | 1 | 28756 | 9 | 2.453 | 11722.8 |
| 675 | 2025-07-10 02:13:46 | worst | 2 | 53800 | 129 | 7.000 | 7685.7 |
| 674 | 2025-07-09 02:19:48 | worst | 2 | 53800 | 129 | 1.690 | 31834.3 |
| 673 | 2025-07-06 05:42:31 | worst | 1 | 28756 | 9 | 3.410 | 8432.8 |
| 672 | 2025-07-04 09:55:54 | worst | 1 | 28756 | 9 | 1.376 | 20898.3 |
| 671 | 2025-07-02 11:05:12 | worst | 2 | 53800 | 129 | 8.376 | 6423.1 |
| 670 | 2025-07-01 21:25:03 | worst | 1 | 28756 | 9 | 2.796 | 10284.7 |
| 669 | 2025-06-30 18:46:23 | worst | 2 | 53800 | 129 | 9.750 | 5517.9 |
| 668 | 2025-06-29 13:38:27 | worst | 1 | 28756 | 9 | 2.313 | 12432.3 |
| 667 | 2025-06-22 21:45:48 | worst | 1 | 28756 | 9 | 0.500 | 57512.0 |
| 666 | 2025-06-16 20:36:54 | worst | 1 | 28756 | 9 | 2.796 | 10284.7 |
| 665 | 2025-06-16 17:27:22 | worst | 1 | 28756 | 9 | 2.420 | 11882.6 |
| 664 | 2025-06-16 13:06:52 | worst | 1 | 28756 | 9 | 3.313 | 8679.7 |
| 663 | 2025-06-15 17:00:31 | worst | 1 | 28756 | 9 | 0.546 | 52666.7 |
| 662 | 2025-06-15 12:52:05 | worst | 2 | 53800 | 129 | 2.330 | 23090.1 |
| 661 | 2025-06-14 22:56:13 | worst | 2 | 53800 | 129 | 2.346 | 22932.7 |
| 660 | 2025-06-14 12:54:47 | worst | 2 | 53800 | 129 | 5.750 | 9356.5 |
| 659 | 2025-06-14 00:54:31 | worst | 1 | 28756 | 9 | 2.436 | 11804.6 |
| 658 | 2025-06-13 16:45:42 | worst | 1 | 28756 | 9 | 0.983 | 29253.3 |
| 657 | 2025-06-10 12:33:22 | worst | 1 | 28756 | 9 | 2.796 | 10284.7 |
| 656 | 2025-06-08 03:42:31 | worst | 2 | 53800 | 129 | 6.440 | 8354.0 |
| 655 | 2025-06-08 02:18:19 | worst | 2 | 53800 | 129 | 6.830 | 7877.0 |
| 654 | 2025-06-07 06:40:49 | worst | 2 | 53800 | 129 | 4.123 | 13048.8 |
| 653 | 2025-06-06 11:31:22 | worst | 1 | 28756 | 9 | 2.343 | 12273.2 |
| 652 | 2025-06-05 02:09:37 | worst | 2 | 53800 | 129 | 9.530 | 5645.3 |
| 651 | 2025-06-04 09:52:27 | worst | 1 | 28756 | 9 | 1.923 | 14953.7 |
| 650 | 2025-06-01 20:40:12 | worst | 1 | 28756 | 9 | 2.173 | 13233.3 |
| 649 | 2025-05-31 19:18:11 | worst | 1 | 28756 | 9 | 2.746 | 10472.0 |
| 648 | 2025-05-25 00:50:11 | worst | 1 | 28756 | 9 | 0.486 | 59168.7 |