History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
    
        
    
    
    
    
    
    
    
    
        
    Fuzzy-string Searches
        (up to 100 most recent)
        for
        "dense"
        
    
	
		| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec | 
	
		| 724 | 2025-10-25 02:20:33 | dense | 1 | 28756 | 10 | 0.436 | 65954.1 | 
	
		| 723 | 2025-10-24 21:51:22 | dense | 1 | 28756 | 10 | 0.483 | 59536.2 | 
	
		| 722 | 2025-10-24 17:12:10 | dense | 1 | 28756 | 10 | 0.516 | 55728.7 | 
	
		| 721 | 2025-10-23 15:24:02 | dense | 1 | 28756 | 10 | 2.360 | 12184.7 | 
	
		| 720 | 2025-10-23 10:39:46 | dense | 1 | 28756 | 10 | 2.716 | 10587.6 | 
	
		| 719 | 2025-10-23 10:39:46 | dense | 1 | 28756 | 10 | 2.360 | 12184.7 | 
	
		| 718 | 2025-10-03 03:11:16 | dense | 1 | 28756 | 10 | 0.530 | 54256.6 | 
	
		| 717 | 2025-09-24 21:45:16 | dense | 1 | 28756 | 10 | 3.190 | 9014.4 | 
	
		| 716 | 2025-09-24 21:45:04 | dense | 1 | 28756 | 10 | 1.580 | 18200.0 | 
	
		| 715 | 2025-09-24 21:44:54 | dense | 1 | 28756 | 10 | 3.250 | 8848.0 | 
	
		| 714 | 2025-09-24 21:44:42 | dense | 1 | 28756 | 10 | 2.283 | 12595.7 | 
	
		| 713 | 2025-09-24 02:25:27 | dense | 1 | 28756 | 10 | 0.453 | 63479.0 | 
	
		| 712 | 2025-09-19 11:03:37 | dense | 1 | 28756 | 10 | 0.516 | 55728.7 | 
	
		| 711 | 2025-09-14 03:55:35 | dense | 1 | 28756 | 10 | 0.483 | 59536.2 | 
	
		| 710 | 2025-09-13 18:55:07 | dense | 2 | 53800 | 165 | 3.216 | 16728.9 | 
	
		| 709 | 2025-09-11 23:38:47 | dense | 2 | 53800 | 165 | 1.420 | 37887.3 | 
	
		| 708 | 2025-09-09 21:13:31 | dense | 2 | 53800 | 165 | 1.563 | 34421.0 | 
	
		| 707 | 2025-08-28 03:20:56 | dense | 1 | 28756 | 10 | 0.516 | 55728.7 | 
	
		| 706 | 2025-08-25 11:32:55 | dense | 1 | 28756 | 10 | 2.156 | 13337.7 | 
	
		| 705 | 2025-08-21 08:15:52 | dense | 1 | 28756 | 10 | 0.953 | 30174.2 | 
	
		| 704 | 2025-08-10 14:56:51 | dense | 1 | 28756 | 10 | 1.546 | 18600.3 | 
	
		| 703 | 2025-08-01 03:23:33 | dense | 1 | 28756 | 10 | 2.123 | 13545.0 | 
	
		| 702 | 2025-07-29 09:44:41 | dense | 1 | 28756 | 10 | 3.826 | 7515.9 | 
	
		| 701 | 2025-07-29 00:57:02 | dense | 1 | 28756 | 10 | 2.423 | 11867.9 | 
	
		| 700 | 2025-07-27 04:36:01 | dense | 1 | 28756 | 10 | 2.156 | 13337.7 | 
	
		| 699 | 2025-07-24 15:35:37 | dense | 1 | 28756 | 10 | 1.686 | 17055.8 | 
	
		| 698 | 2025-07-17 12:53:18 | dense | 1 | 28756 | 10 | 1.143 | 25158.4 | 
	
		| 697 | 2025-07-11 14:20:06 | dense | 1 | 28756 | 10 | 2.390 | 12031.8 | 
	
		| 696 | 2025-07-10 16:45:42 | dense | 1 | 28756 | 10 | 2.623 | 10963.0 | 
	
		| 695 | 2025-07-08 00:53:10 | dense | 1 | 28756 | 10 | 2.843 | 10114.7 | 
	
		| 694 | 2025-07-01 21:09:22 | dense | 1 | 28756 | 10 | 1.233 | 23322.0 | 
	
		| 693 | 2025-06-29 18:58:37 | dense | 1 | 28756 | 10 | 2.516 | 11429.3 | 
	
		| 692 | 2025-06-23 00:56:15 | dense | 1 | 28756 | 10 | 0.826 | 34813.6 | 
	
		| 691 | 2025-06-21 23:33:02 | dense | 1 | 28756 | 10 | 2.596 | 11077.0 | 
	
		| 690 | 2025-06-13 10:37:57 | dense | 1 | 28756 | 10 | 0.516 | 55728.7 | 
	
		| 689 | 2025-06-11 04:22:15 | dense | 1 | 28756 | 10 | 2.360 | 12184.7 | 
	
		| 688 | 2025-06-11 03:10:45 | dense | 1 | 28756 | 10 | 1.593 | 18051.5 | 
	
		| 687 | 2025-06-10 11:11:48 | dense | 2 | 53800 | 165 | 7.406 | 7264.4 | 
	
		| 686 | 2025-06-07 12:38:19 | dense | 1 | 28756 | 10 | 0.483 | 59536.2 | 
	
		| 685 | 2025-06-07 06:47:00 | dense | 2 | 53800 | 165 | 1.686 | 31909.8 | 
	
		| 684 | 2025-06-06 11:20:07 | dense | 2 | 53800 | 165 | 12.240 | 4395.4 | 
	
		| 683 | 2025-06-05 07:54:20 | dense | 1 | 28756 | 10 | 2.186 | 13154.6 | 
	
		| 682 | 2025-06-05 05:46:20 | dense | 2 | 53800 | 165 | 6.000 | 8966.7 | 
	
		| 681 | 2025-06-03 10:29:00 | dense | 2 | 53800 | 165 | 1.390 | 38705.0 | 
	
		| 680 | 2025-05-31 01:54:54 | dense | 1 | 28756 | 10 | 2.656 | 10826.8 | 
	
		| 679 | 2025-05-30 21:15:11 | dense | 1 | 28756 | 10 | 1.123 | 25606.4 | 
	
		| 678 | 2025-05-30 13:24:32 | dense | 1 | 28756 | 10 | 2.966 | 9695.2 | 
	
		| 677 | 2025-05-27 22:18:34 | dense | 1 | 28756 | 10 | 0.453 | 63479.0 | 
	
		| 676 | 2025-05-23 10:13:08 | dense | 1 | 28756 | 10 | 3.346 | 8594.1 | 
	
		| 675 | 2025-05-23 02:55:38 | dense | 1 | 28756 | 10 | 2.546 | 11294.6 | 
	
		| 674 | 2025-05-22 10:43:04 | dense | 1 | 28756 | 10 | 1.453 | 19790.8 | 
	
		| 673 | 2025-05-11 04:16:56 | dense | 1 | 28756 | 10 | 1.156 | 24875.4 | 
	
		| 672 | 2025-05-10 16:53:58 | dense | 1 | 28756 | 10 | 1.406 | 20452.3 | 
	
		| 671 | 2025-05-09 06:46:25 | dense | 1 | 28756 | 10 | 0.516 | 55728.7 | 
	
		| 670 | 2025-05-08 13:08:14 | dense | 1 | 28756 | 10 | 1.376 | 20898.3 | 
	
		| 669 | 2025-05-07 21:58:11 | dense | 1 | 28756 | 10 | 0.986 | 29164.3 | 
	
		| 668 | 2025-05-07 04:46:45 | dense | 1 | 28756 | 10 | 0.516 | 55728.7 | 
	
		| 667 | 2025-05-06 11:24:24 | dense | 2 | 53800 | 165 | 8.516 | 6317.5 | 
	
		| 666 | 2025-05-05 07:33:51 | dense | 1 | 28756 | 10 | 2.313 | 12432.3 | 
	
		| 665 | 2025-05-04 19:16:43 | dense | 1 | 28756 | 10 | 0.486 | 59168.7 | 
	
		| 664 | 2025-05-03 13:07:28 | dense | 1 | 28756 | 10 | 1.000 | 28756.0 | 
	
		| 663 | 2025-05-02 17:54:32 | dense | 2 | 53800 | 165 | 1.643 | 32745.0 | 
	
		| 662 | 2025-05-01 10:31:41 | dense | 2 | 53800 | 165 | 7.923 | 6790.4 | 
	
		| 661 | 2025-04-29 21:00:49 | dense | 1 | 28756 | 10 | 2.343 | 12273.2 | 
	
		| 660 | 2025-04-29 02:44:44 | dense | 1 | 28756 | 10 | 1.236 | 23265.4 | 
	
		| 659 | 2025-04-23 13:35:12 | dense | 1 | 28756 | 10 | 2.470 | 11642.1 | 
	
		| 658 | 2025-04-22 16:23:59 | dense | 1 | 28756 | 10 | 0.500 | 57512.0 | 
	
		| 657 | 2025-04-20 10:07:01 | dense | 1 | 28756 | 10 | 0.513 | 56054.6 | 
	
		| 656 | 2025-04-16 10:42:52 | dense | 1 | 28756 | 10 | 1.686 | 17055.8 | 
	
		| 655 | 2025-04-11 03:38:50 | dense | 1 | 28756 | 10 | 1.000 | 28756.0 | 
	
		| 654 | 2025-04-09 05:09:11 | dense | 2 | 53800 | 165 | 12.160 | 4424.3 | 
	
		| 653 | 2025-04-08 13:19:08 | dense | 1 | 28756 | 10 | 2.610 | 11017.6 | 
	
		| 652 | 2025-04-07 22:06:06 | dense | 2 | 53800 | 165 | 9.390 | 5729.5 | 
	
		| 651 | 2025-04-06 10:27:27 | dense | 2 | 53800 | 165 | 7.766 | 6927.6 | 
	
		| 650 | 2025-04-05 07:13:13 | dense | 1 | 28756 | 10 | 0.500 | 57512.0 | 
	
		| 649 | 2025-03-30 12:41:27 | dense | 2 | 53800 | 165 | 8.283 | 6495.2 | 
	
		| 648 | 2025-03-29 03:32:00 | dense | 1 | 28756 | 10 | 1.656 | 17364.7 | 
	
		| 647 | 2025-03-28 22:06:02 | dense | 1 | 28756 | 10 | 2.203 | 13053.1 | 
	
		| 646 | 2025-03-20 22:52:31 | dense | 2 | 53800 | 165 | 6.143 | 8757.9 | 
	
		| 645 | 2025-03-19 12:33:04 | dense | 1 | 28756 | 10 | 0.453 | 63479.0 | 
	
		| 644 | 2025-03-18 23:08:29 | dense | 1 | 28756 | 10 | 2.550 | 11276.9 | 
	
		| 643 | 2025-03-10 19:20:34 | dense | 1 | 28756 | 10 | 0.966 | 29768.1 | 
	
		| 642 | 2025-03-07 16:51:59 | dense | 1 | 28756 | 10 | 2.233 | 12877.7 | 
	
		| 641 | 2025-03-05 19:14:58 | dense | 1 | 28756 | 10 | 0.546 | 52666.7 | 
	
		| 640 | 2025-02-27 14:58:28 | dense | 1 | 28756 | 10 | 1.593 | 18051.5 | 
	
		| 639 | 2025-02-25 23:40:48 | dense | 1 | 28756 | 10 | 1.610 | 17860.9 | 
	
		| 638 | 2025-02-25 08:44:03 | dense | 1 | 28756 | 10 | 0.483 | 59536.2 | 
	
		| 637 | 2025-02-14 10:56:57 | dense | 2 | 53800 | 165 | 3.843 | 13999.5 | 
	
		| 636 | 2025-01-27 22:34:51 | dense | 2 | 53800 | 165 | 7.266 | 7404.3 | 
	
		| 635 | 2025-01-27 21:33:58 | dense | 2 | 53800 | 165 | 3.686 | 14595.8 | 
	
		| 634 | 2025-01-26 22:40:40 | dense | 2 | 53800 | 165 | 1.720 | 31279.1 | 
	
		| 633 | 2025-01-26 22:40:33 | dense | 1 | 28756 | 10 | 0.440 | 65354.5 | 
	
		| 632 | 2025-01-26 06:25:49 | dense | 1 | 28756 | 10 | 1.576 | 18246.2 | 
	
		| 631 | 2025-01-25 22:15:35 | dense | 2 | 53800 | 165 | 10.826 | 4969.5 | 
	
		| 630 | 2025-01-25 09:07:32 | dense | 1 | 28756 | 10 | 2.440 | 11785.2 | 
	
		| 629 | 2025-01-21 00:52:04 | dense | 1 | 28756 | 10 | 3.763 | 7641.8 | 
	
		| 628 | 2025-01-06 12:52:11 | dense | 1 | 28756 | 10 | 0.720 | 39938.9 | 
	
		| 627 | 2024-12-30 09:55:15 | dense | 2 | 53800 | 165 | 3.923 | 13714.0 | 
	
		| 626 | 2024-12-28 10:57:08 | dense | 2 | 53800 | 165 | 1.703 | 31591.3 | 
	
		| 625 | 2024-12-28 02:32:56 | dense | 2 | 53800 | 165 | 7.906 | 6805.0 |