History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
    
        
    
    
    
    
    
    
    
    
        
    Fuzzy-string Searches
        (up to 100 most recent)
        for
        "cuber"
        
    
	
		| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec | 
		| 758 | 2025-10-30 21:05:54 | cuber | 2 | 53800 | 146 | 1.703 | 31591.3 | 
		| 757 | 2025-10-27 12:12:06 | cuber | 1 | 28756 | 14 | 0.546 | 52666.7 | 
		| 756 | 2025-10-25 23:26:43 | cuber | 1 | 28756 | 14 | 0.513 | 56054.6 | 
		| 755 | 2025-10-24 14:12:40 | cuber | 1 | 28756 | 14 | 0.470 | 61183.0 | 
		| 754 | 2025-10-24 02:12:44 | cuber | 1 | 28756 | 14 | 0.470 | 61183.0 | 
		| 753 | 2025-10-23 01:41:27 | cuber | 1 | 28756 | 14 | 1.546 | 18600.3 | 
		| 752 | 2025-10-22 09:58:30 | cuber | 1 | 28756 | 14 | 1.360 | 21144.1 | 
		| 751 | 2025-10-22 08:17:30 | cuber | 1 | 28756 | 14 | 1.563 | 18398.0 | 
		| 750 | 2025-10-21 04:53:39 | cuber | 1 | 28756 | 14 | 0.956 | 30079.5 | 
		| 749 | 2025-10-21 04:49:23 | cuber | 1 | 28756 | 14 | 0.763 | 37688.1 | 
		| 748 | 2025-10-16 12:33:00 | cuber | 1 | 28756 | 14 | 0.563 | 51076.4 | 
		| 747 | 2025-10-14 22:01:29 | cuber | 1 | 28756 | 14 | 0.546 | 52666.7 | 
		| 746 | 2025-10-08 11:33:18 | cuber | 1 | 28756 | 14 | 0.483 | 59536.2 | 
		| 745 | 2025-10-02 23:48:32 | cuber | 1 | 28756 | 14 | 0.453 | 63479.0 | 
		| 744 | 2025-10-02 09:26:35 | cuber | 1 | 28756 | 14 | 0.533 | 53951.2 | 
		| 743 | 2025-09-27 20:27:01 | cuber | 1 | 28756 | 14 | 0.750 | 38341.3 | 
		| 742 | 2025-09-27 07:09:16 | cuber | 1 | 28756 | 14 | 0.453 | 63479.0 | 
		| 741 | 2025-09-26 11:09:42 | cuber | 1 | 28756 | 14 | 0.670 | 42919.4 | 
		| 740 | 2025-09-25 00:39:39 | cuber | 1 | 28756 | 14 | 1.063 | 27051.7 | 
		| 739 | 2025-09-25 00:39:32 | cuber | 1 | 28756 | 14 | 0.500 | 57512.0 | 
		| 738 | 2025-09-25 00:39:21 | cuber | 1 | 28756 | 14 | 1.313 | 21901.0 | 
		| 737 | 2025-09-25 00:39:13 | cuber | 1 | 28756 | 14 | 1.296 | 22188.3 | 
		| 736 | 2025-09-21 04:48:38 | cuber | 1 | 28756 | 14 | 0.470 | 61183.0 | 
		| 735 | 2025-09-19 21:33:10 | cuber | 1 | 28756 | 14 | 0.470 | 61183.0 | 
		| 734 | 2025-09-16 13:55:09 | cuber | 1 | 28756 | 14 | 0.500 | 57512.0 | 
		| 733 | 2025-09-14 03:48:28 | cuber | 1 | 28756 | 14 | 0.500 | 57512.0 | 
		| 732 | 2025-09-13 05:58:04 | cuber | 1 | 28756 | 14 | 0.533 | 53951.2 | 
		| 731 | 2025-09-09 22:19:52 | cuber | 1 | 28756 | 14 | 0.436 | 65954.1 | 
		| 730 | 2025-09-07 00:13:38 | cuber | 1 | 28756 | 14 | 0.500 | 57512.0 | 
		| 729 | 2025-09-06 15:30:51 | cuber | 1 | 28756 | 14 | 0.500 | 57512.0 | 
		| 728 | 2025-09-03 08:19:33 | cuber | 1 | 28756 | 14 | 0.516 | 55728.7 | 
		| 727 | 2025-09-02 03:00:09 | cuber | 1 | 28756 | 14 | 0.453 | 63479.0 | 
		| 726 | 2025-09-01 01:10:40 | cuber | 1 | 28756 | 14 | 0.500 | 57512.0 | 
		| 725 | 2025-08-31 00:48:07 | cuber | 1 | 28756 | 14 | 0.500 | 57512.0 | 
		| 724 | 2025-08-27 20:26:07 | cuber | 1 | 28756 | 14 | 0.513 | 56054.6 | 
		| 723 | 2025-08-27 17:31:09 | cuber | 1 | 28756 | 14 | 1.013 | 28387.0 | 
		| 722 | 2025-08-26 05:22:04 | cuber | 1 | 28756 | 14 | 0.516 | 55728.7 | 
		| 721 | 2025-08-25 19:44:18 | cuber | 1 | 28756 | 14 | 0.450 | 63902.2 | 
		| 720 | 2025-08-25 16:45:21 | cuber | 2 | 53800 | 146 | 9.530 | 5645.3 | 
		| 719 | 2025-08-25 10:24:09 | cuber | 1 | 28756 | 14 | 2.330 | 12341.6 | 
		| 718 | 2025-08-23 02:09:44 | cuber | 1 | 28756 | 14 | 2.703 | 10638.5 | 
		| 717 | 2025-08-19 01:15:53 | cuber | 1 | 28756 | 14 | 1.343 | 21411.8 | 
		| 716 | 2025-08-14 07:59:21 | cuber | 1 | 28756 | 14 | 0.500 | 57512.0 | 
		| 715 | 2025-08-12 04:53:32 | cuber | 1 | 28756 | 14 | 2.326 | 12362.9 | 
		| 714 | 2025-08-05 17:08:42 | cuber | 1 | 28756 | 14 | 0.563 | 51076.4 | 
		| 713 | 2025-08-05 16:09:04 | cuber | 1 | 28756 | 14 | 1.170 | 24577.8 | 
		| 712 | 2025-08-02 15:09:40 | cuber | 1 | 28756 | 14 | 0.873 | 32939.3 | 
		| 711 | 2025-07-29 14:57:53 | cuber | 1 | 28756 | 14 | 0.906 | 31739.5 | 
		| 710 | 2025-07-29 09:51:00 | cuber | 1 | 28756 | 14 | 1.686 | 17055.8 | 
		| 709 | 2025-07-26 22:10:18 | cuber | 1 | 28756 | 14 | 1.356 | 21206.5 | 
		| 708 | 2025-07-23 12:11:53 | cuber | 1 | 28756 | 14 | 2.673 | 10757.9 | 
		| 707 | 2025-07-23 10:45:47 | cuber | 2 | 53800 | 146 | 8.126 | 6620.7 | 
		| 706 | 2025-07-22 20:16:40 | cuber | 1 | 28756 | 14 | 2.390 | 12031.8 | 
		| 705 | 2025-07-21 20:49:12 | cuber | 1 | 28756 | 14 | 0.533 | 53951.2 | 
		| 704 | 2025-07-19 19:34:09 | cuber | 1 | 28756 | 14 | 0.513 | 56054.6 | 
		| 703 | 2025-07-19 19:34:08 | cuber | 1 | 28756 | 14 | 0.530 | 54256.6 | 
		| 702 | 2025-07-17 15:31:11 | cuber | 2 | 53800 | 146 | 7.780 | 6915.2 | 
		| 701 | 2025-07-15 02:42:58 | cuber | 2 | 53800 | 146 | 8.063 | 6672.5 | 
		| 700 | 2025-07-13 15:26:00 | cuber | 2 | 53800 | 146 | 1.733 | 31044.4 | 
		| 699 | 2025-07-09 15:42:40 | cuber | 1 | 28756 | 14 | 0.533 | 53951.2 | 
		| 698 | 2025-07-02 15:33:19 | cuber | 1 | 28756 | 14 | 1.720 | 16718.6 | 
		| 697 | 2025-07-02 14:59:34 | cuber | 1 | 28756 | 14 | 1.360 | 21144.1 | 
		| 696 | 2025-06-30 19:50:42 | cuber | 1 | 28756 | 14 | 0.986 | 29164.3 | 
		| 695 | 2025-06-28 19:40:47 | cuber | 1 | 28756 | 14 | 1.076 | 26724.9 | 
		| 694 | 2025-06-26 21:16:34 | cuber | 1 | 28756 | 14 | 1.593 | 18051.5 | 
		| 693 | 2025-06-23 21:24:58 | cuber | 1 | 28756 | 14 | 2.360 | 12184.7 | 
		| 692 | 2025-06-22 01:33:31 | cuber | 1 | 28756 | 14 | 3.750 | 7668.3 | 
		| 691 | 2025-06-18 11:04:42 | cuber | 1 | 28756 | 14 | 3.936 | 7305.9 | 
		| 690 | 2025-06-15 12:52:15 | cuber | 1 | 28756 | 14 | 0.533 | 53951.2 | 
		| 689 | 2025-06-11 12:10:12 | cuber | 1 | 28756 | 14 | 2.170 | 13251.6 | 
		| 688 | 2025-06-11 03:04:25 | cuber | 1 | 28756 | 14 | 1.453 | 19790.8 | 
		| 687 | 2025-06-04 10:14:26 | cuber | 1 | 28756 | 14 | 2.500 | 11502.4 | 
		| 686 | 2025-06-02 10:36:43 | cuber | 1 | 28756 | 14 | 3.703 | 7765.6 | 
		| 685 | 2025-06-01 13:35:16 | cuber | 2 | 53800 | 146 | 8.093 | 6647.7 | 
		| 684 | 2025-05-31 14:25:00 | cuber | 1 | 28756 | 14 | 2.546 | 11294.6 | 
		| 683 | 2025-05-30 17:54:44 | cuber | 1 | 28756 | 14 | 0.453 | 63479.0 | 
		| 682 | 2025-05-26 21:21:27 | cuber | 1 | 28756 | 14 | 2.673 | 10757.9 | 
		| 681 | 2025-05-23 19:39:46 | cuber | 1 | 28756 | 14 | 2.500 | 11502.4 | 
		| 680 | 2025-05-22 23:39:32 | cuber | 1 | 28756 | 14 | 1.580 | 18200.0 | 
		| 679 | 2025-05-17 12:35:28 | cuber | 1 | 28756 | 14 | 2.530 | 11366.0 | 
		| 678 | 2025-05-17 06:03:16 | cuber | 1 | 28756 | 14 | 1.643 | 17502.1 | 
		| 677 | 2025-05-17 02:12:45 | cuber | 1 | 28756 | 14 | 0.436 | 65954.1 | 
		| 676 | 2025-05-16 10:57:39 | cuber | 1 | 28756 | 14 | 1.456 | 19750.0 | 
		| 675 | 2025-05-12 23:53:09 | cuber | 1 | 28756 | 14 | 3.500 | 8216.0 | 
		| 674 | 2025-05-12 01:17:11 | cuber | 2 | 53800 | 146 | 9.890 | 5439.8 | 
		| 673 | 2025-05-11 04:22:36 | cuber | 1 | 28756 | 14 | 1.203 | 23903.6 | 
		| 672 | 2025-05-06 00:01:01 | cuber | 1 | 28756 | 14 | 3.780 | 7607.4 | 
		| 671 | 2025-05-01 14:30:27 | cuber | 1 | 28756 | 14 | 3.640 | 7900.0 | 
		| 670 | 2025-05-01 04:14:14 | cuber | 1 | 28756 | 14 | 1.516 | 18968.3 | 
		| 669 | 2025-04-26 20:45:13 | cuber | 1 | 28756 | 14 | 2.546 | 11294.6 | 
		| 668 | 2025-04-19 03:23:01 | cuber | 1 | 28756 | 14 | 0.516 | 55728.7 | 
		| 667 | 2025-04-17 23:37:56 | cuber | 1 | 28756 | 14 | 1.280 | 22465.6 | 
		| 666 | 2025-04-17 22:28:59 | cuber | 1 | 28756 | 14 | 2.423 | 11867.9 | 
		| 665 | 2025-04-16 21:01:58 | cuber | 2 | 53800 | 146 | 1.876 | 28678.0 | 
		| 664 | 2025-04-16 10:21:59 | cuber | 1 | 28756 | 14 | 2.436 | 11804.6 | 
		| 663 | 2025-04-15 16:08:52 | cuber | 2 | 53800 | 146 | 1.670 | 32215.6 | 
		| 662 | 2025-04-15 15:24:59 | cuber | 1 | 28756 | 14 | 1.360 | 21144.1 | 
		| 661 | 2025-04-13 22:45:43 | cuber | 2 | 53800 | 146 | 5.330 | 10093.8 | 
		| 660 | 2025-04-13 16:44:45 | cuber | 1 | 28756 | 14 | 0.486 | 59168.7 | 
		| 659 | 2025-04-11 03:32:38 | cuber | 1 | 28756 | 14 | 1.580 | 18200.0 |