History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"weans"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 760 | 2025-11-18 16:07:54 | weans | 1 | 28756 | 14 | 0.436 | 65954.1 |
| 759 | 2025-11-17 18:57:08 | weans | 1 | 28756 | 14 | 0.530 | 54256.6 |
| 758 | 2025-11-16 16:23:52 | weans | 2 | 53800 | 254 | 1.593 | 33772.8 |
| 757 | 2025-11-15 06:09:40 | weans | 1 | 28756 | 14 | 0.483 | 59536.2 |
| 756 | 2025-11-14 22:42:58 | weans | 1 | 28756 | 14 | 0.516 | 55728.7 |
| 755 | 2025-11-14 21:05:44 | weans | 1 | 28756 | 14 | 1.893 | 15190.7 |
| 754 | 2025-11-14 01:44:18 | weans | 1 | 28756 | 14 | 0.483 | 59536.2 |
| 753 | 2025-11-11 16:32:48 | weans | 1 | 28756 | 14 | 0.453 | 63479.0 |
| 752 | 2025-11-11 10:25:09 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
| 751 | 2025-11-11 06:11:43 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
| 750 | 2025-11-06 01:47:20 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
| 749 | 2025-11-05 18:55:05 | weans | 1 | 28756 | 14 | 0.580 | 49579.3 |
| 748 | 2025-11-03 15:07:29 | weans | 1 | 28756 | 14 | 0.546 | 52666.7 |
| 747 | 2025-10-31 12:51:44 | weans | 1 | 28756 | 14 | 0.483 | 59536.2 |
| 746 | 2025-10-30 16:16:07 | weans | 2 | 53800 | 254 | 1.593 | 33772.8 |
| 745 | 2025-10-30 12:21:43 | weans | 1 | 28756 | 14 | 2.656 | 10826.8 |
| 744 | 2025-10-30 09:05:31 | weans | 1 | 28756 | 14 | 0.546 | 52666.7 |
| 743 | 2025-10-22 07:46:00 | weans | 1 | 28756 | 14 | 1.513 | 19005.9 |
| 742 | 2025-10-19 10:36:38 | weans | 1 | 28756 | 14 | 1.170 | 24577.8 |
| 741 | 2025-10-19 10:36:32 | weans | 1 | 28756 | 14 | 0.673 | 42728.1 |
| 740 | 2025-10-16 21:34:05 | weans | 1 | 28756 | 14 | 0.736 | 39070.7 |
| 739 | 2025-10-16 11:00:34 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
| 738 | 2025-10-14 15:12:36 | weans | 1 | 28756 | 14 | 0.483 | 59536.2 |
| 737 | 2025-10-10 00:33:38 | weans | 1 | 28756 | 14 | 0.486 | 59168.7 |
| 736 | 2025-10-07 20:31:24 | weans | 1 | 28756 | 14 | 1.033 | 27837.4 |
| 735 | 2025-10-05 21:52:46 | weans | 1 | 28756 | 14 | 0.453 | 63479.0 |
| 734 | 2025-10-05 06:53:02 | weans | 1 | 28756 | 14 | 0.466 | 61708.2 |
| 733 | 2025-10-02 09:02:19 | weans | 1 | 28756 | 14 | 0.516 | 55728.7 |
| 732 | 2025-10-01 16:06:29 | weans | 2 | 53800 | 254 | 1.640 | 32804.9 |
| 731 | 2025-10-01 08:53:18 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
| 730 | 2025-09-29 21:33:28 | weans | 1 | 28756 | 14 | 0.546 | 52666.7 |
| 729 | 2025-09-24 11:58:34 | weans | 1 | 28756 | 14 | 0.453 | 63479.0 |
| 728 | 2025-09-19 00:54:02 | weans | 1 | 28756 | 14 | 0.440 | 65354.5 |
| 727 | 2025-09-13 17:21:47 | weans | 1 | 28756 | 14 | 0.486 | 59168.7 |
| 726 | 2025-09-12 21:01:23 | weans | 1 | 28756 | 14 | 0.466 | 61708.2 |
| 725 | 2025-09-10 08:53:56 | weans | 2 | 53800 | 254 | 1.580 | 34050.6 |
| 724 | 2025-09-09 02:37:18 | weans | 2 | 53800 | 254 | 1.420 | 37887.3 |
| 723 | 2025-09-05 01:00:24 | weans | 1 | 28756 | 14 | 0.533 | 53951.2 |
| 722 | 2025-09-04 19:09:59 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
| 721 | 2025-09-02 10:32:56 | weans | 1 | 28756 | 14 | 0.513 | 56054.6 |
| 720 | 2025-09-01 19:22:29 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
| 719 | 2025-08-31 23:28:01 | weans | 1 | 28756 | 14 | 0.486 | 59168.7 |
| 718 | 2025-08-30 23:22:14 | weans | 1 | 28756 | 14 | 0.483 | 59536.2 |
| 717 | 2025-08-30 04:21:43 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
| 716 | 2025-08-30 02:09:53 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
| 715 | 2025-08-19 08:24:30 | weans | 1 | 28756 | 14 | 3.063 | 9388.2 |
| 714 | 2025-08-11 21:51:06 | weans | 1 | 28756 | 14 | 3.483 | 8256.1 |
| 713 | 2025-08-09 07:38:14 | weans | 1 | 28756 | 14 | 2.296 | 12524.4 |
| 712 | 2025-08-09 00:54:55 | weans | 1 | 28756 | 14 | 0.953 | 30174.2 |
| 711 | 2025-08-04 18:31:35 | weans | 2 | 53800 | 254 | 4.203 | 12800.4 |
| 710 | 2025-08-03 20:35:56 | weans | 1 | 28756 | 14 | 1.343 | 21411.8 |
| 709 | 2025-08-02 06:08:32 | weans | 2 | 53800 | 254 | 4.580 | 11746.7 |
| 708 | 2025-07-31 14:04:27 | weans | 1 | 28756 | 14 | 1.310 | 21951.1 |
| 707 | 2025-07-31 12:49:11 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
| 706 | 2025-07-31 10:30:06 | weans | 1 | 28756 | 14 | 0.516 | 55728.7 |
| 705 | 2025-07-31 02:31:54 | weans | 1 | 28756 | 14 | 0.483 | 59536.2 |
| 704 | 2025-07-24 14:28:54 | weans | 1 | 28756 | 14 | 2.343 | 12273.2 |
| 703 | 2025-07-23 12:50:39 | weans | 1 | 28756 | 14 | 1.203 | 23903.6 |
| 702 | 2025-07-22 21:42:28 | weans | 1 | 28756 | 14 | 2.280 | 12612.3 |
| 701 | 2025-07-19 02:29:21 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
| 700 | 2025-07-15 20:05:47 | weans | 1 | 28756 | 14 | 1.063 | 27051.7 |
| 699 | 2025-07-14 18:54:08 | weans | 1 | 28756 | 14 | 2.296 | 12524.4 |
| 698 | 2025-07-08 23:06:12 | weans | 1 | 28756 | 14 | 1.390 | 20687.8 |
| 697 | 2025-07-02 20:44:32 | weans | 1 | 28756 | 14 | 0.906 | 31739.5 |
| 696 | 2025-07-02 09:34:23 | weans | 2 | 53800 | 254 | 4.436 | 12128.0 |
| 695 | 2025-07-01 08:54:39 | weans | 1 | 28756 | 14 | 0.440 | 65354.5 |
| 694 | 2025-06-28 13:12:33 | weans | 1 | 28756 | 14 | 2.890 | 9950.2 |
| 693 | 2025-06-12 06:29:52 | weans | 1 | 28756 | 14 | 1.376 | 20898.3 |
| 692 | 2025-06-07 23:02:06 | weans | 1 | 28756 | 14 | 1.313 | 21901.0 |
| 691 | 2025-06-06 07:58:35 | weans | 2 | 53800 | 254 | 8.670 | 6205.3 |
| 690 | 2025-06-06 05:02:11 | weans | 2 | 53800 | 254 | 8.190 | 6569.0 |
| 689 | 2025-06-05 03:59:05 | weans | 2 | 53800 | 254 | 15.250 | 3527.9 |
| 688 | 2025-06-02 19:30:50 | weans | 1 | 28756 | 14 | 0.483 | 59536.2 |
| 687 | 2025-05-30 14:28:37 | weans | 1 | 28756 | 14 | 2.143 | 13418.6 |
| 686 | 2025-05-28 02:19:57 | weans | 1 | 28756 | 14 | 0.500 | 57512.0 |
| 685 | 2025-05-26 21:39:55 | weans | 1 | 28756 | 14 | 1.356 | 21206.5 |
| 684 | 2025-05-18 10:27:36 | weans | 1 | 28756 | 14 | 3.656 | 7865.4 |
| 683 | 2025-05-18 04:57:59 | weans | 1 | 28756 | 14 | 2.686 | 10705.9 |
| 682 | 2025-05-12 13:51:33 | weans | 1 | 28756 | 14 | 1.610 | 17860.9 |
| 681 | 2025-05-07 23:54:54 | weans | 1 | 28756 | 14 | 1.453 | 19790.8 |
| 680 | 2025-05-04 05:13:59 | weans | 2 | 53800 | 254 | 12.283 | 4380.0 |
| 679 | 2025-05-02 19:50:12 | weans | 1 | 28756 | 14 | 0.453 | 63479.0 |
| 678 | 2025-05-02 09:31:28 | weans | 2 | 53800 | 254 | 3.920 | 13724.5 |
| 677 | 2025-04-30 20:12:18 | weans | 1 | 28756 | 14 | 0.516 | 55728.7 |
| 676 | 2025-04-30 10:41:23 | weans | 1 | 28756 | 14 | 3.266 | 8804.7 |
| 675 | 2025-04-29 11:33:49 | weans | 1 | 28756 | 14 | 0.533 | 53951.2 |
| 674 | 2025-04-28 12:56:37 | weans | 1 | 28756 | 14 | 3.860 | 7449.7 |
| 673 | 2025-04-27 04:07:50 | weans | 1 | 28756 | 14 | 0.516 | 55728.7 |
| 672 | 2025-04-27 03:59:01 | weans | 1 | 28756 | 14 | 0.906 | 31739.5 |
| 671 | 2025-04-21 02:29:54 | weans | 2 | 53800 | 254 | 7.970 | 6750.3 |
| 670 | 2025-04-20 07:34:40 | weans | 2 | 53800 | 254 | 4.420 | 12171.9 |
| 669 | 2025-04-18 16:16:57 | weans | 2 | 53800 | 254 | 4.453 | 12081.7 |
| 668 | 2025-04-18 09:00:28 | weans | 1 | 28756 | 14 | 2.343 | 12273.2 |
| 667 | 2025-04-17 07:40:19 | weans | 1 | 28756 | 14 | 0.513 | 56054.6 |
| 666 | 2025-04-16 19:48:20 | weans | 2 | 53800 | 254 | 1.606 | 33499.4 |
| 665 | 2025-04-07 22:12:57 | weans | 1 | 28756 | 14 | 2.283 | 12595.7 |
| 664 | 2025-04-01 19:32:00 | weans | 1 | 28756 | 14 | 2.923 | 9837.8 |
| 663 | 2025-03-29 11:04:37 | weans | 1 | 28756 | 14 | 2.546 | 11294.6 |
| 662 | 2025-03-22 02:26:16 | weans | 1 | 28756 | 14 | 0.486 | 59168.7 |
| 661 | 2025-03-19 08:50:14 | weans | 2 | 53800 | 254 | 9.263 | 5808.1 |