History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
    
        
    
    
    
    
    
    
    
    
        
    Fuzzy-string Searches
        (up to 100 most recent)
        for
        "shah"
        
    
	
		| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec | 
	
		| 979 | 2025-11-03 06:51:51 | shah | 1 | 13983 | 11 | 0.266 | 52567.7 | 
	
		| 978 | 2025-11-02 20:25:06 | shah | 1 | 13983 | 11 | 0.233 | 60012.9 | 
	
		| 977 | 2025-10-27 18:09:32 | shah | 1 | 13983 | 11 | 0.266 | 52567.7 | 
	
		| 976 | 2025-10-26 14:57:35 | shah | 1 | 13983 | 11 | 0.483 | 28950.3 | 
	
		| 975 | 2025-10-19 19:53:45 | shah | 1 | 13983 | 11 | 1.516 | 9223.6 | 
	
		| 974 | 2025-10-14 14:57:35 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 | 
	
		| 973 | 2025-10-11 20:20:00 | shah | 1 | 13983 | 11 | 0.500 | 27966.0 | 
	
		| 972 | 2025-10-10 10:16:35 | shah | 1 | 13983 | 11 | 0.220 | 63559.1 | 
	
		| 971 | 2025-10-07 16:21:36 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 | 
	
		| 970 | 2025-10-06 08:46:23 | shah | 1 | 13983 | 11 | 0.263 | 53167.3 | 
	
		| 969 | 2025-10-05 14:39:20 | shah | 1 | 13983 | 11 | 0.233 | 60012.9 | 
	
		| 968 | 2025-09-27 18:02:35 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 | 
	
		| 967 | 2025-09-26 08:06:24 | shah | 1 | 13983 | 11 | 0.516 | 27098.8 | 
	
		| 966 | 2025-09-25 12:04:16 | shah | 2 | 29872 | 225 | 1.940 | 15397.9 | 
	
		| 965 | 2025-09-25 10:52:51 | shah | 1 | 13983 | 11 | 0.670 | 20870.1 | 
	
		| 964 | 2025-09-25 10:52:49 | shah | 1 | 13983 | 11 | 1.280 | 10924.2 | 
	
		| 963 | 2025-09-25 10:52:45 | shah | 1 | 13983 | 11 | 0.643 | 21746.5 | 
	
		| 962 | 2025-09-20 06:10:24 | shah | 1 | 13983 | 11 | 0.266 | 52567.7 | 
	
		| 961 | 2025-09-19 15:05:26 | shah | 1 | 13983 | 11 | 0.233 | 60012.9 | 
	
		| 960 | 2025-09-19 01:07:43 | shah | 1 | 13983 | 11 | 0.313 | 44674.1 | 
	
		| 959 | 2025-09-08 17:38:06 | shah | 2 | 29872 | 225 | 0.860 | 34734.9 | 
	
		| 958 | 2025-09-08 05:58:30 | shah | 2 | 29872 | 225 | 0.846 | 35309.7 | 
	
		| 957 | 2025-09-07 18:09:36 | shah | 1 | 13983 | 11 | 0.516 | 27098.8 | 
	
		| 956 | 2025-09-06 08:46:35 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 | 
	
		| 955 | 2025-09-01 06:36:29 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 | 
	
		| 954 | 2025-09-01 00:36:37 | shah | 1 | 13983 | 11 | 0.266 | 52567.7 | 
	
		| 953 | 2025-08-27 01:28:15 | shah | 1 | 13983 | 11 | 0.236 | 59250.0 | 
	
		| 952 | 2025-08-26 11:33:03 | shah | 1 | 13983 | 11 | 1.173 | 11920.7 | 
	
		| 951 | 2025-08-23 10:46:55 | shah | 1 | 13983 | 11 | 1.343 | 10411.8 | 
	
		| 950 | 2025-08-19 04:02:05 | shah | 1 | 13983 | 11 | 1.346 | 10388.6 | 
	
		| 949 | 2025-08-14 03:56:04 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 | 
	
		| 948 | 2025-08-14 01:43:53 | shah | 1 | 13983 | 11 | 0.220 | 63559.1 | 
	
		| 947 | 2025-08-11 05:32:30 | shah | 2 | 29872 | 225 | 4.406 | 6779.8 | 
	
		| 946 | 2025-08-09 07:56:40 | shah | 1 | 13983 | 11 | 1.156 | 12096.0 | 
	
		| 945 | 2025-08-05 15:31:06 | shah | 2 | 29872 | 225 | 2.016 | 14817.5 | 
	
		| 944 | 2025-08-04 15:26:40 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 | 
	
		| 943 | 2025-08-01 17:17:59 | shah | 2 | 29872 | 225 | 3.810 | 7840.4 | 
	
		| 942 | 2025-07-31 16:52:51 | shah | 1 | 13983 | 11 | 0.516 | 27098.8 | 
	
		| 941 | 2025-07-31 04:14:52 | shah | 1 | 13983 | 11 | 0.233 | 60012.9 | 
	
		| 940 | 2025-07-25 02:43:44 | shah | 1 | 13983 | 11 | 0.906 | 15433.8 | 
	
		| 939 | 2025-07-22 22:01:10 | shah | 1 | 13983 | 11 | 0.266 | 52567.7 | 
	
		| 938 | 2025-07-17 05:59:39 | shah | 1 | 13983 | 11 | 0.750 | 18644.0 | 
	
		| 937 | 2025-07-04 14:29:27 | shah | 2 | 29872 | 225 | 6.360 | 4696.9 | 
	
		| 936 | 2025-07-04 13:12:36 | shah | 1 | 13983 | 11 | 0.563 | 24836.6 | 
	
		| 935 | 2025-07-02 18:15:55 | shah | 2 | 29872 | 225 | 4.360 | 6851.4 | 
	
		| 934 | 2025-07-02 02:50:31 | shah | 2 | 29872 | 225 | 4.546 | 6571.1 | 
	
		| 933 | 2025-07-02 02:50:05 | shah | 1 | 13983 | 11 | 2.033 | 6878.0 | 
	
		| 932 | 2025-06-30 16:45:48 | shah | 2 | 29872 | 225 | 3.940 | 7581.7 | 
	
		| 931 | 2025-06-29 03:45:34 | shah | 1 | 13983 | 11 | 0.263 | 53167.3 | 
	
		| 930 | 2025-06-20 17:10:42 | shah | 1 | 13983 | 11 | 0.716 | 19529.3 | 
	
		| 929 | 2025-06-16 09:29:07 | shah | 2 | 29872 | 225 | 2.500 | 11948.8 | 
	
		| 928 | 2025-06-15 04:20:19 | shah | 1 | 13983 | 11 | 0.220 | 63559.1 | 
	
		| 927 | 2025-06-10 11:36:36 | shah | 1 | 13983 | 11 | 0.280 | 49939.3 | 
	
		| 926 | 2025-06-08 06:59:31 | shah | 1 | 13983 | 11 | 0.580 | 24108.6 | 
	
		| 925 | 2025-06-02 13:31:50 | shah | 1 | 13983 | 11 | 0.906 | 15433.8 | 
	
		| 924 | 2025-06-02 12:23:40 | shah | 1 | 13983 | 11 | 0.893 | 15658.5 | 
	
		| 923 | 2025-06-02 01:55:41 | shah | 1 | 13983 | 11 | 1.640 | 8526.2 | 
	
		| 922 | 2025-06-01 00:04:30 | shah | 1 | 13983 | 11 | 2.626 | 5324.8 | 
	
		| 921 | 2025-05-31 03:20:38 | shah | 2 | 29872 | 225 | 4.486 | 6658.9 | 
	
		| 920 | 2025-05-31 00:20:12 | shah | 1 | 13983 | 11 | 1.390 | 10059.7 | 
	
		| 919 | 2025-05-29 15:32:21 | shah | 2 | 29872 | 225 | 2.750 | 10862.5 | 
	
		| 918 | 2025-05-29 02:54:16 | shah | 1 | 13983 | 11 | 0.390 | 35853.8 | 
	
		| 917 | 2025-05-27 12:20:51 | shah | 1 | 13983 | 11 | 1.640 | 8526.2 | 
	
		| 916 | 2025-05-27 08:46:21 | shah | 1 | 13983 | 11 | 1.403 | 9966.5 | 
	
		| 915 | 2025-05-27 07:54:00 | shah | 2 | 29872 | 225 | 2.280 | 13101.8 | 
	
		| 914 | 2025-05-24 07:11:48 | shah | 1 | 13983 | 11 | 0.970 | 14415.5 | 
	
		| 913 | 2025-05-16 04:09:15 | shah | 1 | 13983 | 11 | 0.873 | 16017.2 | 
	
		| 912 | 2025-05-13 20:07:00 | shah | 1 | 13983 | 11 | 1.673 | 8358.0 | 
	
		| 911 | 2025-05-09 08:48:14 | shah | 2 | 29872 | 225 | 0.920 | 32469.6 | 
	
		| 910 | 2025-05-08 18:02:29 | shah | 2 | 29872 | 225 | 6.123 | 4878.7 | 
	
		| 909 | 2025-05-07 02:57:26 | shah | 2 | 29872 | 225 | 0.940 | 31778.7 | 
	
		| 908 | 2025-05-06 11:17:35 | shah | 2 | 29872 | 225 | 2.186 | 13665.1 | 
	
		| 907 | 2025-05-05 07:28:36 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 | 
	
		| 906 | 2025-05-03 15:42:59 | shah | 1 | 13983 | 11 | 0.670 | 20870.1 | 
	
		| 905 | 2025-05-02 13:21:37 | shah | 2 | 29872 | 225 | 6.423 | 4650.8 | 
	
		| 904 | 2025-05-01 13:17:22 | shah | 1 | 13983 | 11 | 2.063 | 6778.0 | 
	
		| 903 | 2025-04-29 17:14:39 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 | 
	
		| 902 | 2025-04-27 21:36:08 | shah | 1 | 13983 | 11 | 0.703 | 19890.5 | 
	
		| 901 | 2025-04-20 10:46:24 | shah | 1 | 13983 | 11 | 0.263 | 53167.3 | 
	
		| 900 | 2025-04-16 02:59:09 | shah | 1 | 13983 | 11 | 0.466 | 30006.4 | 
	
		| 899 | 2025-04-06 06:00:49 | shah | 1 | 13983 | 11 | 0.656 | 21315.5 | 
	
		| 898 | 2025-03-31 16:22:59 | shah | 1 | 13983 | 11 | 1.596 | 8761.3 | 
	
		| 897 | 2025-03-29 23:12:32 | shah | 1 | 13983 | 11 | 0.220 | 63559.1 | 
	
		| 896 | 2025-03-29 00:36:50 | shah | 1 | 13983 | 11 | 2.203 | 6347.3 | 
	
		| 895 | 2025-03-24 20:30:03 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 | 
	
		| 894 | 2025-03-20 00:49:46 | shah | 2 | 29872 | 225 | 2.703 | 11051.4 | 
	
		| 893 | 2025-03-19 12:49:37 | shah | 1 | 13983 | 11 | 0.250 | 55932.0 | 
	
		| 892 | 2025-03-14 21:00:54 | shah | 1 | 13983 | 11 | 0.266 | 52567.7 | 
	
		| 891 | 2025-03-07 02:55:45 | shah | 2 | 29872 | 225 | 4.076 | 7328.8 | 
	
		| 890 | 2025-03-07 02:37:51 | shah | 1 | 13983 | 11 | 0.233 | 60012.9 | 
	
		| 889 | 2025-02-26 11:32:11 | shah | 2 | 29872 | 225 | 3.890 | 7679.2 | 
	
		| 888 | 2025-02-26 05:31:45 | shah | 2 | 29872 | 225 | 2.126 | 14050.8 | 
	
		| 887 | 2025-02-26 05:24:48 | shah | 1 | 13983 | 11 | 0.266 | 52567.7 | 
	
		| 886 | 2025-02-25 11:24:09 | shah | 1 | 13983 | 11 | 0.296 | 47239.9 | 
	
		| 885 | 2025-02-24 05:07:07 | shah | 1 | 13983 | 11 | 0.936 | 14939.1 | 
	
		| 884 | 2025-02-23 18:22:15 | shah | 1 | 13983 | 11 | 0.513 | 27257.3 | 
	
		| 883 | 2025-02-18 10:53:54 | shah | 2 | 29872 | 225 | 4.046 | 7383.1 | 
	
		| 882 | 2025-02-05 02:41:34 | shah | 2 | 29872 | 225 | 3.390 | 8811.8 | 
	
		| 881 | 2025-02-05 02:10:29 | shah | 1 | 13983 | 11 | 0.766 | 18254.6 | 
	
		| 880 | 2025-02-03 20:07:52 | shah | 2 | 29872 | 225 | 6.640 | 4498.8 |