History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
    
        
    
    
    
    
    
    
    
    
        
    Fuzzy-string Searches
        (up to 100 most recent)
        for
        "herd"
        
    
	
		| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec | 
	
		| 980 | 2025-11-02 15:55:59 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 | 
	
		| 979 | 2025-10-31 18:40:00 | herd | 1 | 13983 | 17 | 0.220 | 63559.1 | 
	
		| 978 | 2025-10-30 02:33:58 | herd | 1 | 13983 | 17 | 0.280 | 49939.3 | 
	
		| 977 | 2025-10-29 13:26:40 | herd | 2 | 29872 | 263 | 0.920 | 32469.6 | 
	
		| 976 | 2025-10-28 19:06:58 | herd | 1 | 13983 | 17 | 0.233 | 60012.9 | 
	
		| 975 | 2025-10-28 18:43:59 | herd | 1 | 13983 | 17 | 0.220 | 63559.1 | 
	
		| 974 | 2025-10-27 18:54:52 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 | 
	
		| 973 | 2025-10-26 17:54:55 | herd | 1 | 13983 | 17 | 0.233 | 60012.9 | 
	
		| 972 | 2025-10-26 12:11:25 | herd | 1 | 13983 | 17 | 0.216 | 64736.1 | 
	
		| 971 | 2025-10-25 12:25:06 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 | 
	
		| 970 | 2025-10-25 10:05:51 | herd | 1 | 13983 | 17 | 0.216 | 64736.1 | 
	
		| 969 | 2025-10-24 13:49:21 | herd | 1 | 13983 | 17 | 0.283 | 49409.9 | 
	
		| 968 | 2025-10-24 05:09:38 | herd | 1 | 13983 | 17 | 0.216 | 64736.1 | 
	
		| 967 | 2025-10-22 23:03:56 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 | 
	
		| 966 | 2025-10-22 20:29:49 | herd | 1 | 13983 | 17 | 0.670 | 20870.1 | 
	
		| 965 | 2025-10-22 16:16:23 | herd | 1 | 13983 | 17 | 1.156 | 12096.0 | 
	
		| 964 | 2025-10-20 06:29:39 | herd | 1 | 13983 | 17 | 0.453 | 30867.5 | 
	
		| 963 | 2025-10-19 10:19:17 | herd | 1 | 13983 | 17 | 1.313 | 10649.7 | 
	
		| 962 | 2025-10-19 10:19:02 | herd | 1 | 13983 | 17 | 2.110 | 6627.0 | 
	
		| 961 | 2025-10-19 10:18:40 | herd | 1 | 13983 | 17 | 0.563 | 24836.6 | 
	
		| 960 | 2025-10-19 10:18:23 | herd | 1 | 13983 | 17 | 1.720 | 8129.7 | 
	
		| 959 | 2025-10-18 17:53:08 | herd | 1 | 13983 | 17 | 0.220 | 63559.1 | 
	
		| 958 | 2025-10-17 18:14:57 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 | 
	
		| 957 | 2025-10-17 04:09:51 | herd | 1 | 13983 | 17 | 0.216 | 64736.1 | 
	
		| 956 | 2025-10-12 17:26:01 | herd | 1 | 13983 | 17 | 0.280 | 49939.3 | 
	
		| 955 | 2025-10-08 17:37:00 | herd | 1 | 13983 | 17 | 0.500 | 27966.0 | 
	
		| 954 | 2025-10-07 14:46:51 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 | 
	
		| 953 | 2025-10-06 11:47:42 | herd | 1 | 13983 | 17 | 0.233 | 60012.9 | 
	
		| 952 | 2025-10-06 06:03:58 | herd | 1 | 13983 | 17 | 0.236 | 59250.0 | 
	
		| 951 | 2025-10-05 07:52:43 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 | 
	
		| 950 | 2025-10-04 04:21:26 | herd | 1 | 13983 | 17 | 0.843 | 16587.2 | 
	
		| 949 | 2025-10-02 21:27:43 | herd | 1 | 13983 | 17 | 0.236 | 59250.0 | 
	
		| 948 | 2025-10-01 10:59:51 | herd | 2 | 29872 | 263 | 0.906 | 32971.3 | 
	
		| 947 | 2025-09-30 20:32:50 | herd | 1 | 13983 | 17 | 0.236 | 59250.0 | 
	
		| 946 | 2025-09-30 12:54:06 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 | 
	
		| 945 | 2025-09-29 10:14:30 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 | 
	
		| 944 | 2025-09-28 07:18:48 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 | 
	
		| 943 | 2025-09-27 04:58:00 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 | 
	
		| 942 | 2025-09-26 05:24:12 | herd | 1 | 13983 | 17 | 0.216 | 64736.1 | 
	
		| 941 | 2025-09-25 21:12:38 | herd | 1 | 13983 | 17 | 0.673 | 20777.1 | 
	
		| 940 | 2025-09-24 22:30:05 | herd | 1 | 13983 | 17 | 0.280 | 49939.3 | 
	
		| 939 | 2025-09-24 06:18:41 | herd | 1 | 13983 | 17 | 0.220 | 63559.1 | 
	
		| 938 | 2025-09-23 20:35:07 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 | 
	
		| 937 | 2025-09-23 05:47:21 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 | 
	
		| 936 | 2025-09-22 20:59:37 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 | 
	
		| 935 | 2025-09-22 10:46:53 | herd | 1 | 13983 | 17 | 0.233 | 60012.9 | 
	
		| 934 | 2025-09-22 03:56:34 | herd | 1 | 13983 | 17 | 0.220 | 63559.1 | 
	
		| 933 | 2025-09-21 12:44:44 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 | 
	
		| 932 | 2025-09-20 17:44:00 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 | 
	
		| 931 | 2025-09-19 19:22:15 | herd | 2 | 29872 | 263 | 0.843 | 35435.3 | 
	
		| 930 | 2025-09-19 09:56:44 | herd | 1 | 13983 | 17 | 0.220 | 63559.1 | 
	
		| 929 | 2025-09-17 06:27:48 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 | 
	
		| 928 | 2025-09-16 18:15:45 | herd | 1 | 13983 | 17 | 0.216 | 64736.1 | 
	
		| 927 | 2025-09-15 18:59:44 | herd | 1 | 13983 | 17 | 0.263 | 53167.3 | 
	
		| 926 | 2025-09-15 11:42:36 | herd | 1 | 13983 | 17 | 0.233 | 60012.9 | 
	
		| 925 | 2025-09-15 03:33:59 | herd | 1 | 13983 | 17 | 0.233 | 60012.9 | 
	
		| 924 | 2025-09-15 01:26:35 | herd | 1 | 13983 | 17 | 0.393 | 35580.2 | 
	
		| 923 | 2025-09-13 20:34:54 | herd | 1 | 13983 | 17 | 0.263 | 53167.3 | 
	
		| 922 | 2025-09-13 14:12:52 | herd | 1 | 13983 | 17 | 0.236 | 59250.0 | 
	
		| 921 | 2025-09-12 13:32:19 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 | 
	
		| 920 | 2025-09-12 06:15:49 | herd | 1 | 13983 | 17 | 0.513 | 27257.3 | 
	
		| 919 | 2025-09-11 05:01:39 | herd | 1 | 13983 | 17 | 0.236 | 59250.0 | 
	
		| 918 | 2025-09-09 19:55:45 | herd | 1 | 13983 | 17 | 0.220 | 63559.1 | 
	
		| 917 | 2025-09-08 22:04:42 | herd | 1 | 13983 | 17 | 0.233 | 60012.9 | 
	
		| 916 | 2025-09-08 04:09:20 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 | 
	
		| 915 | 2025-09-06 19:31:35 | herd | 1 | 13983 | 17 | 0.266 | 52567.7 | 
	
		| 914 | 2025-09-05 20:41:53 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 | 
	
		| 913 | 2025-09-03 18:01:12 | herd | 1 | 13983 | 17 | 0.236 | 59250.0 | 
	
		| 912 | 2025-09-03 06:34:17 | herd | 1 | 13983 | 17 | 0.216 | 64736.1 | 
	
		| 911 | 2025-09-01 07:58:56 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 | 
	
		| 910 | 2025-08-30 16:28:05 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 | 
	
		| 909 | 2025-08-28 14:39:06 | herd | 1 | 13983 | 17 | 0.220 | 63559.1 | 
	
		| 908 | 2025-08-28 01:01:39 | herd | 1 | 13983 | 17 | 0.233 | 60012.9 | 
	
		| 907 | 2025-08-25 01:16:37 | herd | 1 | 13983 | 17 | 1.080 | 12947.2 | 
	
		| 906 | 2025-08-19 12:16:37 | herd | 1 | 13983 | 17 | 0.970 | 14415.5 | 
	
		| 905 | 2025-08-04 08:41:59 | herd | 1 | 13983 | 17 | 0.703 | 19890.5 | 
	
		| 904 | 2025-08-04 07:02:08 | herd | 1 | 13983 | 17 | 0.500 | 27966.0 | 
	
		| 903 | 2025-08-04 01:10:34 | herd | 1 | 13983 | 17 | 0.656 | 21315.5 | 
	
		| 902 | 2025-08-01 14:11:20 | herd | 2 | 29872 | 263 | 2.186 | 13665.1 | 
	
		| 901 | 2025-07-31 10:56:38 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 | 
	
		| 900 | 2025-07-31 08:47:10 | herd | 1 | 13983 | 17 | 1.360 | 10281.6 | 
	
		| 899 | 2025-07-27 03:05:47 | herd | 1 | 13983 | 17 | 0.860 | 16259.3 | 
	
		| 898 | 2025-07-25 08:31:05 | herd | 1 | 13983 | 17 | 0.660 | 21186.4 | 
	
		| 897 | 2025-07-24 03:17:40 | herd | 1 | 13983 | 17 | 0.906 | 15433.8 | 
	
		| 896 | 2025-07-22 15:15:00 | herd | 1 | 13983 | 17 | 0.906 | 15433.8 | 
	
		| 895 | 2025-07-22 05:22:08 | herd | 1 | 13983 | 17 | 0.966 | 14475.2 | 
	
		| 894 | 2025-07-17 17:19:43 | herd | 1 | 13983 | 17 | 0.560 | 24969.6 | 
	
		| 893 | 2025-07-16 06:52:07 | herd | 1 | 13983 | 17 | 0.250 | 55932.0 | 
	
		| 892 | 2025-07-13 20:57:03 | herd | 2 | 29872 | 263 | 4.470 | 6682.8 | 
	
		| 891 | 2025-07-12 10:05:26 | herd | 2 | 29872 | 263 | 0.873 | 34217.6 | 
	
		| 890 | 2025-07-11 22:13:45 | herd | 2 | 29872 | 263 | 0.890 | 33564.0 | 
	
		| 889 | 2025-07-09 22:29:37 | herd | 1 | 13983 | 17 | 0.593 | 23580.1 | 
	
		| 888 | 2025-07-05 04:15:23 | herd | 1 | 13983 | 17 | 0.263 | 53167.3 | 
	
		| 887 | 2025-07-05 01:39:26 | herd | 2 | 29872 | 263 | 4.296 | 6953.4 | 
	
		| 886 | 2025-07-04 00:19:23 | herd | 1 | 13983 | 17 | 0.673 | 20777.1 | 
	
		| 885 | 2025-07-01 15:56:41 | herd | 1 | 13983 | 17 | 0.500 | 27966.0 | 
	
		| 884 | 2025-06-30 06:07:28 | herd | 1 | 13983 | 17 | 1.080 | 12947.2 | 
	
		| 883 | 2025-06-29 09:30:51 | herd | 1 | 13983 | 17 | 0.233 | 60012.9 | 
	
		| 882 | 2025-06-28 18:44:01 | herd | 1 | 13983 | 17 | 0.233 | 60012.9 | 
	
		| 881 | 2025-06-28 07:43:48 | herd | 1 | 13983 | 17 | 1.186 | 11790.1 |