History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
    
        
    
    
    
    
    
    
    
    
        
    Fuzzy-string Searches
        (up to 100 most recent)
        for
        "torcs"
        
    
	
		| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec | 
		| 799 | 2025-10-30 21:07:04 | torcs | 2 | 53800 | 199 | 1.906 | 28226.7 | 
		| 798 | 2025-10-26 18:30:15 | torcs | 1 | 28756 | 12 | 0.530 | 54256.6 | 
		| 797 | 2025-10-25 10:06:08 | torcs | 1 | 28756 | 12 | 0.563 | 51076.4 | 
		| 796 | 2025-10-25 05:14:59 | torcs | 2 | 53800 | 199 | 1.736 | 30990.8 | 
		| 795 | 2025-10-25 02:27:45 | torcs | 1 | 28756 | 12 | 0.453 | 63479.0 | 
		| 794 | 2025-10-24 22:58:55 | torcs | 1 | 28756 | 12 | 0.500 | 57512.0 | 
		| 793 | 2025-10-24 21:54:46 | torcs | 1 | 28756 | 12 | 0.466 | 61708.2 | 
		| 792 | 2025-10-24 11:41:40 | torcs | 1 | 28756 | 12 | 0.500 | 57512.0 | 
		| 791 | 2025-10-23 01:48:17 | torcs | 1 | 28756 | 12 | 2.546 | 11294.6 | 
		| 790 | 2025-10-17 18:33:51 | torcs | 1 | 28756 | 12 | 0.530 | 54256.6 | 
		| 789 | 2025-10-10 02:37:28 | torcs | 1 | 28756 | 12 | 0.466 | 61708.2 | 
		| 788 | 2025-09-30 11:01:56 | torcs | 1 | 28756 | 12 | 0.470 | 61183.0 | 
		| 787 | 2025-09-28 13:29:45 | torcs | 1 | 28756 | 12 | 0.533 | 53951.2 | 
		| 786 | 2025-09-26 01:06:23 | torcs | 1 | 28756 | 12 | 1.283 | 22413.1 | 
		| 785 | 2025-09-25 09:36:20 | torcs | 1 | 28756 | 12 | 1.283 | 22413.1 | 
		| 784 | 2025-09-25 09:36:17 | torcs | 1 | 28756 | 12 | 2.470 | 11642.1 | 
		| 783 | 2025-09-25 09:36:13 | torcs | 1 | 28756 | 12 | 1.860 | 15460.2 | 
		| 782 | 2025-09-25 09:36:07 | torcs | 1 | 28756 | 12 | 2.280 | 12612.3 | 
		| 781 | 2025-09-24 13:55:01 | torcs | 1 | 28756 | 12 | 0.500 | 57512.0 | 
		| 780 | 2025-09-24 09:58:27 | torcs | 1 | 28756 | 12 | 0.500 | 57512.0 | 
		| 779 | 2025-09-24 08:35:54 | torcs | 1 | 28756 | 12 | 0.500 | 57512.0 | 
		| 778 | 2025-09-24 07:02:09 | torcs | 1 | 28756 | 12 | 0.470 | 61183.0 | 
		| 777 | 2025-09-24 02:23:40 | torcs | 1 | 28756 | 12 | 0.500 | 57512.0 | 
		| 776 | 2025-09-23 17:05:01 | torcs | 1 | 28756 | 12 | 0.440 | 65354.5 | 
		| 775 | 2025-09-23 17:04:49 | torcs | 1 | 28756 | 12 | 0.436 | 65954.1 | 
		| 774 | 2025-09-11 01:55:45 | torcs | 2 | 53800 | 199 | 2.236 | 24060.8 | 
		| 773 | 2025-09-10 05:24:50 | torcs | 2 | 53800 | 199 | 1.643 | 32745.0 | 
		| 772 | 2025-09-09 00:04:06 | torcs | 2 | 53800 | 199 | 1.516 | 35488.1 | 
		| 771 | 2025-09-06 11:17:42 | torcs | 1 | 28756 | 12 | 0.453 | 63479.0 | 
		| 770 | 2025-09-06 08:33:34 | torcs | 1 | 28756 | 12 | 0.500 | 57512.0 | 
		| 769 | 2025-09-03 10:32:56 | torcs | 1 | 28756 | 12 | 0.453 | 63479.0 | 
		| 768 | 2025-09-02 12:19:24 | torcs | 2 | 53800 | 199 | 1.513 | 35558.5 | 
		| 767 | 2025-08-31 22:49:18 | torcs | 2 | 53800 | 199 | 1.610 | 33416.1 | 
		| 766 | 2025-08-31 01:15:28 | torcs | 2 | 53800 | 199 | 1.703 | 31591.3 | 
		| 765 | 2025-08-27 13:53:51 | torcs | 1 | 28756 | 12 | 0.533 | 53951.2 | 
		| 764 | 2025-08-27 13:19:37 | torcs | 1 | 28756 | 12 | 0.516 | 55728.7 | 
		| 763 | 2025-08-26 00:44:29 | torcs | 1 | 28756 | 12 | 0.530 | 54256.6 | 
		| 762 | 2025-08-24 22:37:32 | torcs | 1 | 28756 | 12 | 1.406 | 20452.3 | 
		| 761 | 2025-08-07 19:04:57 | torcs | 1 | 28756 | 12 | 1.266 | 22714.1 | 
		| 760 | 2025-08-03 15:03:07 | torcs | 2 | 53800 | 199 | 1.640 | 32804.9 | 
		| 759 | 2025-08-02 01:07:15 | torcs | 2 | 53800 | 199 | 4.266 | 12611.3 | 
		| 758 | 2025-08-01 19:15:16 | torcs | 1 | 28756 | 12 | 2.300 | 12502.6 | 
		| 757 | 2025-07-31 11:44:18 | torcs | 1 | 28756 | 12 | 0.500 | 57512.0 | 
		| 756 | 2025-07-26 19:47:59 | torcs | 1 | 28756 | 12 | 3.703 | 7765.6 | 
		| 755 | 2025-07-24 00:00:06 | torcs | 1 | 28756 | 12 | 1.466 | 19615.3 | 
		| 754 | 2025-07-23 14:18:42 | torcs | 1 | 28756 | 12 | 2.580 | 11145.7 | 
		| 753 | 2025-07-22 15:35:11 | torcs | 1 | 28756 | 12 | 1.360 | 21144.1 | 
		| 752 | 2025-07-22 06:10:14 | torcs | 1 | 28756 | 12 | 0.470 | 61183.0 | 
		| 751 | 2025-07-10 18:50:55 | torcs | 1 | 28756 | 12 | 0.986 | 29164.3 | 
		| 750 | 2025-07-09 06:10:10 | torcs | 1 | 28756 | 12 | 0.500 | 57512.0 | 
		| 749 | 2025-07-07 12:00:19 | torcs | 1 | 28756 | 12 | 2.516 | 11429.3 | 
		| 748 | 2025-07-03 17:43:34 | torcs | 1 | 28756 | 12 | 0.483 | 59536.2 | 
		| 747 | 2025-07-02 12:33:58 | torcs | 2 | 53800 | 199 | 10.206 | 5271.4 | 
		| 746 | 2025-07-01 11:56:50 | torcs | 1 | 28756 | 12 | 0.500 | 57512.0 | 
		| 745 | 2025-06-30 03:18:50 | torcs | 1 | 28756 | 12 | 3.313 | 8679.7 | 
		| 744 | 2025-06-30 00:17:05 | torcs | 2 | 53800 | 199 | 10.766 | 4997.2 | 
		| 743 | 2025-06-28 17:37:51 | torcs | 2 | 53800 | 199 | 1.626 | 33087.3 | 
		| 742 | 2025-06-26 18:27:52 | torcs | 1 | 28756 | 12 | 3.296 | 8724.5 | 
		| 741 | 2025-06-26 14:56:55 | torcs | 1 | 28756 | 12 | 1.406 | 20452.3 | 
		| 740 | 2025-06-22 14:14:16 | torcs | 2 | 53800 | 199 | 12.016 | 4477.4 | 
		| 739 | 2025-06-21 09:27:24 | torcs | 1 | 28756 | 12 | 0.533 | 53951.2 | 
		| 738 | 2025-06-20 11:25:47 | torcs | 2 | 53800 | 199 | 5.703 | 9433.6 | 
		| 737 | 2025-06-19 23:22:30 | torcs | 1 | 28756 | 12 | 3.966 | 7250.6 | 
		| 736 | 2025-06-18 06:09:53 | torcs | 2 | 53800 | 199 | 7.580 | 7097.6 | 
		| 735 | 2025-06-18 01:42:20 | torcs | 1 | 28756 | 12 | 2.923 | 9837.8 | 
		| 734 | 2025-06-17 02:00:16 | torcs | 2 | 53800 | 199 | 8.000 | 6725.0 | 
		| 733 | 2025-06-10 10:39:53 | torcs | 1 | 28756 | 12 | 3.576 | 8041.4 | 
		| 732 | 2025-06-09 23:40:07 | torcs | 1 | 28756 | 12 | 2.513 | 11442.9 | 
		| 731 | 2025-06-07 17:39:10 | torcs | 1 | 28756 | 12 | 0.530 | 54256.6 | 
		| 730 | 2025-06-07 17:34:56 | torcs | 1 | 28756 | 12 | 0.513 | 56054.6 | 
		| 729 | 2025-06-02 10:49:24 | torcs | 2 | 53800 | 199 | 8.360 | 6435.4 | 
		| 728 | 2025-06-01 10:45:19 | torcs | 1 | 28756 | 12 | 0.533 | 53951.2 | 
		| 727 | 2025-06-01 01:38:31 | torcs | 1 | 28756 | 12 | 1.610 | 17860.9 | 
		| 726 | 2025-05-28 23:01:49 | torcs | 2 | 53800 | 199 | 9.063 | 5936.2 | 
		| 725 | 2025-05-27 23:09:16 | torcs | 2 | 53800 | 199 | 1.703 | 31591.3 | 
		| 724 | 2025-05-26 15:16:17 | torcs | 1 | 28756 | 12 | 1.203 | 23903.6 | 
		| 723 | 2025-05-23 04:34:17 | torcs | 2 | 53800 | 199 | 1.936 | 27789.3 | 
		| 722 | 2025-05-20 22:53:43 | torcs | 1 | 28756 | 12 | 0.530 | 54256.6 | 
		| 721 | 2025-05-18 20:57:36 | torcs | 1 | 28756 | 12 | 0.516 | 55728.7 | 
		| 720 | 2025-05-15 20:51:18 | torcs | 2 | 53800 | 199 | 3.923 | 13714.0 | 
		| 719 | 2025-05-15 07:06:44 | torcs | 2 | 53800 | 199 | 1.783 | 30173.9 | 
		| 718 | 2025-05-11 14:47:20 | torcs | 1 | 28756 | 12 | 2.233 | 12877.7 | 
		| 717 | 2025-05-10 17:10:14 | torcs | 1 | 28756 | 12 | 2.873 | 10009.0 | 
		| 716 | 2025-05-08 14:44:35 | torcs | 1 | 28756 | 12 | 2.346 | 12257.5 | 
		| 715 | 2025-05-08 06:00:58 | torcs | 1 | 28756 | 12 | 3.656 | 7865.4 | 
		| 714 | 2025-05-05 18:24:53 | torcs | 1 | 28756 | 12 | 0.530 | 54256.6 | 
		| 713 | 2025-05-01 11:35:42 | torcs | 1 | 28756 | 12 | 0.533 | 53951.2 | 
		| 712 | 2025-04-30 02:48:06 | torcs | 1 | 28756 | 12 | 4.216 | 6820.7 | 
		| 711 | 2025-04-26 14:26:26 | torcs | 1 | 28756 | 12 | 1.186 | 24246.2 | 
		| 710 | 2025-04-19 22:20:30 | torcs | 1 | 28756 | 12 | 0.530 | 54256.6 | 
		| 709 | 2025-04-18 00:40:52 | torcs | 1 | 28756 | 12 | 2.406 | 11951.8 | 
		| 708 | 2025-04-08 21:06:07 | torcs | 2 | 53800 | 199 | 4.546 | 11834.6 | 
		| 707 | 2025-04-08 16:06:21 | torcs | 1 | 28756 | 12 | 0.516 | 55728.7 | 
		| 706 | 2025-04-08 09:58:42 | torcs | 1 | 28756 | 12 | 0.440 | 65354.5 | 
		| 705 | 2025-04-02 10:36:30 | torcs | 2 | 53800 | 199 | 8.296 | 6485.1 | 
		| 704 | 2025-03-31 22:13:08 | torcs | 2 | 53800 | 199 | 5.516 | 9753.4 | 
		| 703 | 2025-03-31 13:18:08 | torcs | 1 | 28756 | 12 | 1.563 | 18398.0 | 
		| 702 | 2025-03-30 03:49:29 | torcs | 1 | 28756 | 12 | 0.500 | 57512.0 | 
		| 701 | 2025-03-28 12:48:48 | torcs | 1 | 28756 | 12 | 1.030 | 27918.4 | 
		| 700 | 2025-03-26 16:02:33 | torcs | 1 | 28756 | 12 | 1.203 | 23903.6 |