History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
    
        
    
    
    
    
    
    
    
    
        
    Fuzzy-string Searches
        (up to 100 most recent)
        for
        "graph"
        
    
	
		| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec | 
	
		| 818 | 2025-11-03 22:20:18 | graph | 2 | 53800 | 92 | 1.656 | 32487.9 | 
	
		| 817 | 2025-11-02 20:57:24 | graph | 3 | 83667 | 909 | 4.093 | 20441.5 | 
	
		| 816 | 2025-11-01 14:30:14 | graph | 1 | 28756 | 4 | 0.876 | 32826.5 | 
	
		| 815 | 2025-11-01 11:51:07 | graph | 1 | 28756 | 4 | 0.483 | 59536.2 | 
	
		| 814 | 2025-10-30 06:41:58 | graph | 1 | 28756 | 4 | 0.500 | 57512.0 | 
	
		| 813 | 2025-10-26 18:45:49 | graph | 1 | 28756 | 4 | 1.076 | 26724.9 | 
	
		| 812 | 2025-10-26 17:32:08 | graph | 1 | 28756 | 4 | 0.500 | 57512.0 | 
	
		| 811 | 2025-10-26 12:24:28 | graph | 1 | 28756 | 4 | 0.546 | 52666.7 | 
	
		| 810 | 2025-10-24 09:29:29 | graph | 1 | 28756 | 4 | 0.500 | 57512.0 | 
	
		| 809 | 2025-10-22 23:46:57 | graph | 2 | 53800 | 92 | 8.233 | 6534.7 | 
	
		| 808 | 2025-10-21 15:01:29 | graph | 1 | 28756 | 4 | 2.813 | 10222.5 | 
	
		| 807 | 2025-10-20 03:33:46 | graph | 1 | 28756 | 4 | 1.810 | 15887.3 | 
	
		| 806 | 2025-10-19 10:43:49 | graph | 3 | 83667 | 909 | 60.123 | 1391.6 | 
	
		| 805 | 2025-10-19 10:43:16 | graph | 3 | 83667 | 909 | 63.160 | 1324.7 | 
	
		| 804 | 2025-10-19 10:42:38 | graph | 3 | 83667 | 909 | 79.523 | 1052.1 | 
	
		| 803 | 2025-10-19 10:41:56 | graph | 3 | 83667 | 909 | 84.700 | 987.8 | 
	
		| 802 | 2025-10-18 17:40:32 | graph | 3 | 83667 | 909 | 6.110 | 13693.5 | 
	
		| 801 | 2025-10-15 04:28:41 | graph | 1 | 28756 | 4 | 0.486 | 59168.7 | 
	
		| 800 | 2025-10-12 18:06:05 | graph | 1 | 28756 | 4 | 0.500 | 57512.0 | 
	
		| 799 | 2025-10-12 18:05:55 | graph | 1 | 28756 | 4 | 0.563 | 51076.4 | 
	
		| 798 | 2025-10-11 23:34:35 | graph | 1 | 28756 | 4 | 0.436 | 65954.1 | 
	
		| 797 | 2025-10-06 11:20:10 | graph | 3 | 83667 | 909 | 3.313 | 25254.2 | 
	
		| 796 | 2025-10-01 22:53:24 | graph | 3 | 83667 | 909 | 3.643 | 22966.5 | 
	
		| 795 | 2025-10-01 14:40:23 | graph | 3 | 83667 | 909 | 3.470 | 24111.5 | 
	
		| 794 | 2025-10-01 12:37:59 | graph | 1 | 28756 | 4 | 0.513 | 56054.6 | 
	
		| 793 | 2025-09-26 00:34:53 | graph | 1 | 28756 | 4 | 0.750 | 38341.3 | 
	
		| 792 | 2025-09-23 18:49:31 | graph | 1 | 28756 | 4 | 0.920 | 31256.5 | 
	
		| 791 | 2025-09-22 06:16:01 | graph | 1 | 28756 | 4 | 0.513 | 56054.6 | 
	
		| 790 | 2025-09-18 07:38:15 | graph | 2 | 53800 | 92 | 1.563 | 34421.0 | 
	
		| 789 | 2025-09-15 03:42:37 | graph | 1 | 28756 | 4 | 0.500 | 57512.0 | 
	
		| 788 | 2025-09-14 09:26:57 | graph | 1 | 28756 | 4 | 0.500 | 57512.0 | 
	
		| 787 | 2025-09-14 04:39:21 | graph | 1 | 28756 | 4 | 0.513 | 56054.6 | 
	
		| 786 | 2025-09-06 03:10:30 | graph | 1 | 28756 | 4 | 0.436 | 65954.1 | 
	
		| 785 | 2025-08-25 07:56:21 | graph | 2 | 53800 | 92 | 8.860 | 6072.2 | 
	
		| 784 | 2025-08-24 10:57:10 | graph | 1 | 28756 | 4 | 1.593 | 18051.5 | 
	
		| 783 | 2025-08-19 09:41:46 | graph | 1 | 28756 | 4 | 0.936 | 30722.2 | 
	
		| 782 | 2025-08-12 03:52:52 | graph | 1 | 28756 | 4 | 1.346 | 21364.0 | 
	
		| 781 | 2025-08-09 15:07:28 | graph | 1 | 28756 | 4 | 1.640 | 17534.1 | 
	
		| 780 | 2025-08-08 20:00:14 | graph | 2 | 53800 | 92 | 1.623 | 33148.5 | 
	
		| 779 | 2025-08-08 17:34:55 | graph | 1 | 28756 | 4 | 0.440 | 65354.5 | 
	
		| 778 | 2025-08-04 07:02:26 | graph | 1 | 28756 | 4 | 1.623 | 17717.8 | 
	
		| 777 | 2025-08-01 06:19:28 | graph | 1 | 28756 | 4 | 2.000 | 14378.0 | 
	
		| 776 | 2025-08-01 04:38:07 | graph | 1 | 28756 | 4 | 0.970 | 29645.4 | 
	
		| 775 | 2025-07-30 23:33:27 | graph | 1 | 28756 | 4 | 2.046 | 14054.7 | 
	
		| 774 | 2025-07-28 06:30:44 | graph | 3 | 83667 | 909 | 12.626 | 6626.6 | 
	
		| 773 | 2025-07-28 06:30:44 | graph | 3 | 83667 | 909 | 9.016 | 9279.8 | 
	
		| 772 | 2025-07-28 03:21:22 | graph | 2 | 53800 | 92 | 3.530 | 15240.8 | 
	
		| 771 | 2025-07-27 05:37:36 | graph | 3 | 83667 | 909 | 9.096 | 9198.2 | 
	
		| 770 | 2025-07-27 04:01:26 | graph | 3 | 83667 | 909 | 19.080 | 4385.1 | 
	
		| 769 | 2025-07-27 04:01:28 | graph | 3 | 83667 | 909 | 13.596 | 6153.8 | 
	
		| 768 | 2025-07-26 00:25:01 | graph | 3 | 83667 | 909 | 6.656 | 12570.2 | 
	
		| 767 | 2025-07-25 11:02:11 | graph | 3 | 83667 | 909 | 11.203 | 7468.3 | 
	
		| 766 | 2025-07-25 07:52:00 | graph | 3 | 83667 | 909 | 16.503 | 5069.8 | 
	
		| 765 | 2025-07-24 14:12:00 | graph | 3 | 83667 | 909 | 26.843 | 3116.9 | 
	
		| 764 | 2025-07-24 12:00:13 | graph | 1 | 28756 | 4 | 2.530 | 11366.0 | 
	
		| 763 | 2025-07-24 08:38:06 | graph | 3 | 83667 | 909 | 14.813 | 5648.2 | 
	
		| 762 | 2025-07-23 02:39:40 | graph | 1 | 28756 | 4 | 1.343 | 21411.8 | 
	
		| 761 | 2025-07-21 10:08:04 | graph | 3 | 83667 | 909 | 3.360 | 24900.9 | 
	
		| 760 | 2025-07-17 12:50:03 | graph | 1 | 28756 | 4 | 1.310 | 21951.1 | 
	
		| 759 | 2025-07-11 19:36:00 | graph | 1 | 28756 | 4 | 1.203 | 23903.6 | 
	
		| 758 | 2025-07-11 06:29:44 | graph | 1 | 28756 | 4 | 2.326 | 12362.9 | 
	
		| 757 | 2025-07-11 01:06:42 | graph | 1 | 28756 | 4 | 3.093 | 9297.1 | 
	
		| 756 | 2025-07-08 14:04:44 | graph | 1 | 28756 | 4 | 3.533 | 8139.3 | 
	
		| 755 | 2025-07-04 09:27:08 | graph | 2 | 53800 | 92 | 4.733 | 11367.0 | 
	
		| 754 | 2025-07-02 19:58:53 | graph | 2 | 53800 | 92 | 4.343 | 12387.8 | 
	
		| 753 | 2025-07-02 06:07:29 | graph | 1 | 28756 | 4 | 1.173 | 24514.9 | 
	
		| 752 | 2025-07-01 04:06:06 | graph | 1 | 28756 | 4 | 0.516 | 55728.7 | 
	
		| 751 | 2025-06-28 15:48:48 | graph | 1 | 28756 | 4 | 0.550 | 52283.6 | 
	
		| 750 | 2025-06-26 08:42:59 | graph | 1 | 28756 | 4 | 2.686 | 10705.9 | 
	
		| 749 | 2025-06-20 17:30:45 | graph | 1 | 28756 | 4 | 2.780 | 10343.9 | 
	
		| 748 | 2025-06-20 06:27:38 | graph | 3 | 83667 | 909 | 10.156 | 8238.2 | 
	
		| 747 | 2025-06-18 08:43:48 | graph | 2 | 53800 | 92 | 5.813 | 9255.1 | 
	
		| 746 | 2025-06-18 06:21:46 | graph | 3 | 83667 | 909 | 24.330 | 3438.8 | 
	
		| 745 | 2025-06-11 01:18:23 | graph | 1 | 28756 | 4 | 1.126 | 25538.2 | 
	
		| 744 | 2025-06-04 03:07:46 | graph | 1 | 28756 | 4 | 3.690 | 7793.0 | 
	
		| 743 | 2025-06-02 16:38:27 | graph | 3 | 83667 | 909 | 21.266 | 3934.3 | 
	
		| 742 | 2025-06-02 13:30:58 | graph | 3 | 83667 | 909 | 27.080 | 3089.6 | 
	
		| 741 | 2025-06-02 05:19:14 | graph | 1 | 28756 | 4 | 1.170 | 24577.8 | 
	
		| 740 | 2025-05-31 19:11:14 | graph | 3 | 83667 | 909 | 15.033 | 5565.6 | 
	
		| 739 | 2025-05-31 05:49:01 | graph | 1 | 28756 | 4 | 1.390 | 20687.8 | 
	
		| 738 | 2025-05-30 16:43:59 | graph | 2 | 53800 | 92 | 1.670 | 32215.6 | 
	
		| 737 | 2025-05-29 20:19:16 | graph | 2 | 53800 | 92 | 1.703 | 31591.3 | 
	
		| 736 | 2025-05-27 20:12:29 | graph | 1 | 28756 | 4 | 0.436 | 65954.1 | 
	
		| 735 | 2025-05-24 19:32:20 | graph | 1 | 28756 | 4 | 2.483 | 11581.2 | 
	
		| 734 | 2025-05-24 14:10:13 | graph | 2 | 53800 | 92 | 7.733 | 6957.2 | 
	
		| 733 | 2025-05-19 16:51:49 | graph | 2 | 53800 | 92 | 1.563 | 34421.0 | 
	
		| 732 | 2025-05-16 12:05:33 | graph | 1 | 28756 | 4 | 1.390 | 20687.8 | 
	
		| 731 | 2025-05-16 06:15:29 | graph | 3 | 83667 | 909 | 19.076 | 4386.0 | 
	
		| 730 | 2025-05-15 11:28:12 | graph | 1 | 28756 | 4 | 2.813 | 10222.5 | 
	
		| 729 | 2025-05-13 11:08:44 | graph | 1 | 28756 | 4 | 0.516 | 55728.7 | 
	
		| 728 | 2025-05-12 08:05:52 | graph | 3 | 83667 | 909 | 13.080 | 6396.6 | 
	
		| 727 | 2025-05-11 02:11:31 | graph | 1 | 28756 | 4 | 2.516 | 11429.3 | 
	
		| 726 | 2025-05-08 14:06:10 | graph | 1 | 28756 | 4 | 1.313 | 21901.0 | 
	
		| 725 | 2025-05-06 17:00:51 | graph | 1 | 28756 | 4 | 2.516 | 11429.3 | 
	
		| 724 | 2025-05-04 23:42:47 | graph | 3 | 83667 | 909 | 4.063 | 20592.4 | 
	
		| 723 | 2025-05-04 02:29:57 | graph | 2 | 53800 | 92 | 7.483 | 7189.6 | 
	
		| 722 | 2025-05-02 17:52:31 | graph | 2 | 53800 | 92 | 5.830 | 9228.1 | 
	
		| 721 | 2025-05-02 05:44:39 | graph | 1 | 28756 | 4 | 2.766 | 10396.2 | 
	
		| 720 | 2025-05-01 04:56:08 | graph | 1 | 28756 | 4 | 2.970 | 9682.2 | 
	
		| 719 | 2025-04-30 04:31:12 | graph | 1 | 28756 | 4 | 3.733 | 7703.2 |