History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
    
        
    
    
    
    
    
    
    
    
        
    Fuzzy-string Searches
        (up to 100 most recent)
        for
        "meats"
        
    
	
		| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec | 
		| 964 | 2025-10-29 01:01:04 | meats | 1 | 28756 | 19 | 0.516 | 55728.7 | 
		| 963 | 2025-10-24 20:58:39 | meats | 1 | 28756 | 19 | 0.546 | 52666.7 | 
		| 962 | 2025-10-23 02:52:48 | meats | 1 | 28756 | 19 | 1.050 | 27386.7 | 
		| 961 | 2025-10-20 03:40:58 | meats | 1 | 28756 | 19 | 0.533 | 53951.2 | 
		| 960 | 2025-10-17 00:36:29 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 | 
		| 959 | 2025-09-28 18:34:26 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 | 
		| 958 | 2025-09-26 11:20:29 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 | 
		| 957 | 2025-09-26 11:20:23 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 | 
		| 956 | 2025-09-25 22:44:10 | meats | 1 | 28756 | 19 | 1.530 | 18794.8 | 
		| 955 | 2025-09-25 22:44:09 | meats | 1 | 28756 | 19 | 0.970 | 29645.4 | 
		| 954 | 2025-09-23 12:07:30 | meats | 1 | 28756 | 19 | 0.513 | 56054.6 | 
		| 953 | 2025-09-19 18:02:18 | meats | 1 | 28756 | 19 | 0.450 | 63902.2 | 
		| 952 | 2025-09-16 06:48:18 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 | 
		| 951 | 2025-09-13 22:34:10 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 | 
		| 950 | 2025-09-01 18:06:38 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 | 
		| 949 | 2025-08-25 11:43:59 | meats | 2 | 53800 | 318 | 7.453 | 7218.6 | 
		| 948 | 2025-08-24 07:05:16 | meats | 1 | 28756 | 19 | 0.453 | 63479.0 | 
		| 947 | 2025-08-18 21:49:08 | meats | 1 | 28756 | 19 | 1.326 | 21686.3 | 
		| 946 | 2025-08-07 17:20:30 | meats | 1 | 28756 | 19 | 1.436 | 20025.1 | 
		| 945 | 2025-08-01 12:13:33 | meats | 1 | 28756 | 19 | 1.350 | 21300.7 | 
		| 944 | 2025-08-01 02:10:47 | meats | 1 | 28756 | 19 | 2.453 | 11722.8 | 
		| 943 | 2025-07-31 23:32:50 | meats | 1 | 28756 | 19 | 3.123 | 9207.8 | 
		| 942 | 2025-07-31 11:43:41 | meats | 1 | 28756 | 19 | 0.516 | 55728.7 | 
		| 941 | 2025-07-30 14:23:39 | meats | 1 | 28756 | 19 | 0.530 | 54256.6 | 
		| 940 | 2025-07-24 10:48:39 | meats | 1 | 28756 | 19 | 3.876 | 7419.0 | 
		| 939 | 2025-07-19 21:32:54 | meats | 1 | 28756 | 19 | 0.516 | 55728.7 | 
		| 938 | 2025-07-19 01:18:47 | meats | 1 | 28756 | 19 | 0.516 | 55728.7 | 
		| 937 | 2025-07-18 00:01:32 | meats | 1 | 28756 | 19 | 1.236 | 23265.4 | 
		| 936 | 2025-07-17 11:20:38 | meats | 1 | 28756 | 19 | 1.160 | 24789.7 | 
		| 935 | 2025-07-16 17:29:04 | meats | 1 | 28756 | 19 | 0.546 | 52666.7 | 
		| 934 | 2025-07-12 10:19:03 | meats | 1 | 28756 | 19 | 0.530 | 54256.6 | 
		| 933 | 2025-07-10 09:47:24 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 | 
		| 932 | 2025-07-07 17:03:56 | meats | 1 | 28756 | 19 | 2.390 | 12031.8 | 
		| 931 | 2025-07-07 16:43:34 | meats | 1 | 28756 | 19 | 1.030 | 27918.4 | 
		| 930 | 2025-07-02 04:14:58 | meats | 2 | 53800 | 318 | 5.860 | 9180.9 | 
		| 929 | 2025-07-02 00:02:47 | meats | 2 | 53800 | 318 | 4.000 | 13450.0 | 
		| 928 | 2025-07-01 20:30:21 | meats | 1 | 28756 | 19 | 1.376 | 20898.3 | 
		| 927 | 2025-06-30 22:10:14 | meats | 1 | 28756 | 19 | 1.186 | 24246.2 | 
		| 926 | 2025-06-30 12:43:08 | meats | 1 | 28756 | 19 | 2.876 | 9998.6 | 
		| 925 | 2025-06-30 12:05:57 | meats | 1 | 28756 | 19 | 2.280 | 12612.3 | 
		| 924 | 2025-06-28 01:18:23 | meats | 1 | 28756 | 19 | 2.296 | 12524.4 | 
		| 923 | 2025-06-18 23:25:23 | meats | 1 | 28756 | 19 | 2.310 | 12448.5 | 
		| 922 | 2025-06-17 22:15:02 | meats | 1 | 28756 | 19 | 1.640 | 17534.1 | 
		| 921 | 2025-06-10 21:50:59 | meats | 1 | 28756 | 19 | 1.173 | 24514.9 | 
		| 920 | 2025-06-07 16:08:53 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 | 
		| 919 | 2025-06-06 04:04:37 | meats | 1 | 28756 | 19 | 0.953 | 30174.2 | 
		| 918 | 2025-06-05 21:40:09 | meats | 2 | 53800 | 318 | 5.250 | 10247.6 | 
		| 917 | 2025-06-05 10:43:34 | meats | 1 | 28756 | 19 | 0.563 | 51076.4 | 
		| 916 | 2025-05-31 21:31:02 | meats | 1 | 28756 | 19 | 1.326 | 21686.3 | 
		| 915 | 2025-05-31 15:45:30 | meats | 1 | 28756 | 19 | 2.983 | 9640.0 | 
		| 914 | 2025-05-31 14:25:53 | meats | 1 | 28756 | 19 | 3.086 | 9318.2 | 
		| 913 | 2025-05-27 18:03:27 | meats | 1 | 28756 | 19 | 0.533 | 53951.2 | 
		| 912 | 2025-05-26 22:51:51 | meats | 1 | 28756 | 19 | 0.983 | 29253.3 | 
		| 911 | 2025-05-17 22:37:02 | meats | 1 | 28756 | 19 | 2.360 | 12184.7 | 
		| 910 | 2025-05-14 04:07:49 | meats | 1 | 28756 | 19 | 2.796 | 10284.7 | 
		| 909 | 2025-05-12 11:40:06 | meats | 1 | 28756 | 19 | 0.970 | 29645.4 | 
		| 908 | 2025-05-07 15:38:44 | meats | 1 | 28756 | 19 | 0.560 | 51350.0 | 
		| 907 | 2025-05-05 22:11:23 | meats | 2 | 53800 | 318 | 5.080 | 10590.6 | 
		| 906 | 2025-05-05 11:11:34 | meats | 1 | 28756 | 19 | 1.376 | 20898.3 | 
		| 905 | 2025-05-04 22:56:03 | meats | 1 | 28756 | 19 | 0.453 | 63479.0 | 
		| 904 | 2025-05-02 03:39:34 | meats | 2 | 53800 | 318 | 6.940 | 7752.2 | 
		| 903 | 2025-05-01 11:55:57 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 | 
		| 902 | 2025-04-30 21:33:26 | meats | 1 | 28756 | 19 | 0.530 | 54256.6 | 
		| 901 | 2025-04-28 00:36:06 | meats | 2 | 53800 | 318 | 8.970 | 5997.8 | 
		| 900 | 2025-04-27 06:00:43 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 | 
		| 899 | 2025-04-27 01:35:06 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 | 
		| 898 | 2025-04-18 09:25:54 | meats | 2 | 53800 | 318 | 8.986 | 5987.1 | 
		| 897 | 2025-04-16 21:14:02 | meats | 1 | 28756 | 19 | 0.513 | 56054.6 | 
		| 896 | 2025-04-06 15:33:40 | meats | 1 | 28756 | 19 | 2.423 | 11867.9 | 
		| 895 | 2025-04-05 21:32:42 | meats | 2 | 53800 | 318 | 6.470 | 8315.3 | 
		| 894 | 2025-04-05 09:59:57 | meats | 1 | 28756 | 19 | 2.186 | 13154.6 | 
		| 893 | 2025-04-05 08:36:58 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 | 
		| 892 | 2025-03-30 22:37:33 | meats | 1 | 28756 | 19 | 2.690 | 10690.0 | 
		| 891 | 2025-03-29 12:42:59 | meats | 1 | 28756 | 19 | 2.046 | 14054.7 | 
		| 890 | 2025-03-17 19:48:41 | meats | 1 | 28756 | 19 | 2.800 | 10270.0 | 
		| 889 | 2025-03-16 10:45:34 | meats | 1 | 28756 | 19 | 2.330 | 12341.6 | 
		| 888 | 2025-03-12 10:36:42 | meats | 1 | 28756 | 19 | 3.953 | 7274.5 | 
		| 887 | 2025-03-07 03:03:25 | meats | 1 | 28756 | 19 | 1.283 | 22413.1 | 
		| 886 | 2025-03-05 17:16:12 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 | 
		| 885 | 2025-02-28 01:27:00 | meats | 2 | 53800 | 318 | 7.970 | 6750.3 | 
		| 884 | 2025-02-27 23:46:51 | meats | 2 | 53800 | 318 | 6.843 | 7862.0 | 
		| 883 | 2025-02-27 22:03:54 | meats | 2 | 53800 | 318 | 3.843 | 13999.5 | 
		| 882 | 2025-02-27 21:33:42 | meats | 1 | 28756 | 19 | 0.483 | 59536.2 | 
		| 881 | 2025-02-25 16:58:11 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 | 
		| 880 | 2025-02-25 08:54:48 | meats | 1 | 28756 | 19 | 0.516 | 55728.7 | 
		| 879 | 2025-02-23 02:00:47 | meats | 2 | 53800 | 318 | 10.843 | 4961.7 | 
		| 878 | 2025-02-23 02:00:17 | meats | 1 | 28756 | 19 | 2.343 | 12273.2 | 
		| 877 | 2025-02-15 21:07:49 | meats | 1 | 28756 | 19 | 2.296 | 12524.4 | 
		| 876 | 2025-02-05 02:33:41 | meats | 1 | 28756 | 19 | 0.983 | 29253.3 | 
		| 875 | 2025-01-28 23:21:09 | meats | 2 | 53800 | 318 | 9.250 | 5816.2 | 
		| 874 | 2025-01-28 19:24:01 | meats | 2 | 53800 | 318 | 3.640 | 14780.2 | 
		| 873 | 2025-01-28 19:08:47 | meats | 1 | 28756 | 19 | 0.533 | 53951.2 | 
		| 872 | 2025-01-26 06:26:07 | meats | 1 | 28756 | 19 | 1.326 | 21686.3 | 
		| 871 | 2025-01-23 19:48:47 | meats | 1 | 28756 | 19 | 2.156 | 13337.7 | 
		| 870 | 2025-01-05 21:50:53 | meats | 1 | 28756 | 19 | 2.126 | 13525.9 | 
		| 869 | 2024-12-29 16:20:53 | meats | 2 | 53800 | 318 | 10.140 | 5305.7 | 
		| 868 | 2024-12-29 14:54:27 | meats | 2 | 53800 | 318 | 9.203 | 5845.9 | 
		| 867 | 2024-12-29 14:45:00 | meats | 1 | 28756 | 19 | 0.436 | 65954.1 | 
		| 866 | 2024-12-27 05:34:02 | meats | 1 | 28756 | 19 | 0.500 | 57512.0 | 
		| 865 | 2024-12-25 00:21:27 | meats | 2 | 53800 | 318 | 5.470 | 9835.5 |