History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
    
        
    
    
    
    
    
    
    
    
        
    Fuzzy-string Searches
        (up to 100 most recent)
        for
        "trap"
        
    
	
		| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec | 
	
		| 1068 | 2025-10-27 07:10:08 | trap | 1 | 13983 | 16 | 0.250 | 55932.0 | 
	
		| 1067 | 2025-10-19 11:49:23 | trap | 1 | 13983 | 16 | 0.283 | 49409.9 | 
	
		| 1066 | 2025-10-19 11:49:20 | trap | 1 | 13983 | 16 | 0.686 | 20383.4 | 
	
		| 1065 | 2025-10-19 11:49:17 | trap | 1 | 13983 | 16 | 1.190 | 11750.4 | 
	
		| 1064 | 2025-10-19 11:49:13 | trap | 1 | 13983 | 16 | 0.940 | 14875.5 | 
	
		| 1063 | 2025-10-18 00:46:29 | trap | 1 | 13983 | 16 | 0.250 | 55932.0 | 
	
		| 1062 | 2025-10-11 23:15:32 | trap | 1 | 13983 | 16 | 0.250 | 55932.0 | 
	
		| 1061 | 2025-10-11 12:18:43 | trap | 1 | 13983 | 16 | 0.220 | 63559.1 | 
	
		| 1060 | 2025-10-11 10:05:09 | trap | 1 | 13983 | 16 | 0.220 | 63559.1 | 
	
		| 1059 | 2025-10-07 13:47:50 | trap | 1 | 13983 | 16 | 0.483 | 28950.3 | 
	
		| 1058 | 2025-10-03 16:37:16 | trap | 1 | 13983 | 16 | 0.233 | 60012.9 | 
	
		| 1057 | 2025-10-02 15:59:46 | trap | 1 | 13983 | 16 | 0.266 | 52567.7 | 
	
		| 1056 | 2025-09-25 13:05:42 | trap | 1 | 13983 | 16 | 0.563 | 24836.6 | 
	
		| 1055 | 2025-09-25 11:27:07 | trap | 1 | 13983 | 16 | 0.533 | 26234.5 | 
	
		| 1054 | 2025-09-25 11:27:02 | trap | 1 | 13983 | 16 | 0.656 | 21315.5 | 
	
		| 1053 | 2025-09-25 11:26:57 | trap | 1 | 13983 | 16 | 0.516 | 27098.8 | 
	
		| 1052 | 2025-09-25 11:26:52 | trap | 1 | 13983 | 16 | 0.796 | 17566.6 | 
	
		| 1051 | 2025-09-23 05:53:59 | trap | 1 | 13983 | 16 | 0.233 | 60012.9 | 
	
		| 1050 | 2025-09-22 01:02:44 | trap | 1 | 13983 | 16 | 0.250 | 55932.0 | 
	
		| 1049 | 2025-09-15 08:07:53 | trap | 1 | 13983 | 16 | 0.216 | 64736.1 | 
	
		| 1048 | 2025-09-14 19:54:29 | trap | 1 | 13983 | 16 | 0.250 | 55932.0 | 
	
		| 1047 | 2025-09-10 23:35:03 | trap | 1 | 13983 | 16 | 0.233 | 60012.9 | 
	
		| 1046 | 2025-09-07 12:46:00 | trap | 2 | 29872 | 244 | 0.813 | 36742.9 | 
	
		| 1045 | 2025-09-07 01:33:02 | trap | 1 | 13983 | 16 | 0.216 | 64736.1 | 
	
		| 1044 | 2025-09-06 14:02:17 | trap | 1 | 13983 | 16 | 0.233 | 60012.9 | 
	
		| 1043 | 2025-09-06 04:21:03 | trap | 1 | 13983 | 16 | 0.220 | 63559.1 | 
	
		| 1042 | 2025-09-03 07:41:54 | trap | 1 | 13983 | 16 | 0.200 | 69915.0 | 
	
		| 1041 | 2025-08-19 06:48:26 | trap | 1 | 13983 | 16 | 0.266 | 52567.7 | 
	
		| 1040 | 2025-08-18 17:39:26 | trap | 2 | 29872 | 244 | 0.780 | 38297.4 | 
	
		| 1039 | 2025-08-14 00:49:17 | trap | 1 | 13983 | 16 | 0.250 | 55932.0 | 
	
		| 1038 | 2025-08-10 02:14:53 | trap | 1 | 13983 | 16 | 0.546 | 25609.9 | 
	
		| 1037 | 2025-08-06 00:33:36 | trap | 2 | 29872 | 244 | 2.216 | 13480.1 | 
	
		| 1036 | 2025-08-04 14:50:22 | trap | 1 | 13983 | 16 | 0.216 | 64736.1 | 
	
		| 1035 | 2025-08-04 10:27:35 | trap | 1 | 13983 | 16 | 0.250 | 55932.0 | 
	
		| 1034 | 2025-08-01 11:38:42 | trap | 1 | 13983 | 16 | 0.423 | 33056.7 | 
	
		| 1033 | 2025-08-01 04:24:06 | trap | 1 | 13983 | 16 | 1.796 | 7785.6 | 
	
		| 1032 | 2025-07-27 16:21:00 | trap | 1 | 13983 | 16 | 1.563 | 8946.3 | 
	
		| 1031 | 2025-07-27 12:20:23 | trap | 1 | 13983 | 16 | 0.470 | 29751.1 | 
	
		| 1030 | 2025-07-24 01:51:27 | trap | 1 | 13983 | 16 | 0.923 | 15149.5 | 
	
		| 1029 | 2025-07-20 21:33:13 | trap | 1 | 13983 | 16 | 0.236 | 59250.0 | 
	
		| 1028 | 2025-07-17 08:38:57 | trap | 1 | 13983 | 16 | 0.516 | 27098.8 | 
	
		| 1027 | 2025-07-04 09:18:48 | trap | 1 | 13983 | 16 | 0.986 | 14181.5 | 
	
		| 1026 | 2025-07-02 14:52:36 | trap | 1 | 13983 | 16 | 1.063 | 13154.3 | 
	
		| 1025 | 2025-06-29 19:39:30 | trap | 1 | 13983 | 16 | 0.250 | 55932.0 | 
	
		| 1024 | 2025-06-29 19:37:46 | trap | 1 | 13983 | 16 | 0.796 | 17566.6 | 
	
		| 1023 | 2025-06-16 22:48:03 | trap | 1 | 13983 | 16 | 1.220 | 11461.5 | 
	
		| 1022 | 2025-06-16 07:00:53 | trap | 1 | 13983 | 16 | 0.673 | 20777.1 | 
	
		| 1021 | 2025-06-11 22:33:05 | trap | 1 | 13983 | 16 | 0.766 | 18254.6 | 
	
		| 1020 | 2025-06-08 07:06:35 | trap | 2 | 29872 | 244 | 5.173 | 5774.6 | 
	
		| 1019 | 2025-06-04 08:35:04 | trap | 1 | 13983 | 16 | 0.970 | 14415.5 | 
	
		| 1018 | 2025-06-02 05:21:29 | trap | 2 | 29872 | 244 | 4.656 | 6415.8 | 
	
		| 1017 | 2025-06-02 02:04:48 | trap | 1 | 13983 | 16 | 1.606 | 8706.7 | 
	
		| 1016 | 2025-06-01 21:23:01 | trap | 2 | 29872 | 244 | 2.220 | 13455.9 | 
	
		| 1015 | 2025-06-01 14:35:43 | trap | 2 | 29872 | 244 | 6.466 | 4619.9 | 
	
		| 1014 | 2025-06-01 09:29:14 | trap | 2 | 29872 | 244 | 1.170 | 25531.6 | 
	
		| 1013 | 2025-05-30 02:03:40 | trap | 1 | 13983 | 16 | 0.263 | 53167.3 | 
	
		| 1012 | 2025-05-29 13:29:21 | trap | 1 | 13983 | 16 | 1.576 | 8872.5 | 
	
		| 1011 | 2025-05-29 09:55:19 | trap | 1 | 13983 | 16 | 1.000 | 13983.0 | 
	
		| 1010 | 2025-05-29 01:23:42 | trap | 1 | 13983 | 16 | 0.516 | 27098.8 | 
	
		| 1009 | 2025-05-29 01:06:15 | trap | 2 | 29872 | 244 | 1.923 | 15534.1 | 
	
		| 1008 | 2025-05-27 22:14:07 | trap | 1 | 13983 | 16 | 0.236 | 59250.0 | 
	
		| 1007 | 2025-05-12 23:48:08 | trap | 1 | 13983 | 16 | 0.733 | 19076.4 | 
	
		| 1006 | 2025-05-11 22:42:35 | trap | 1 | 13983 | 16 | 0.686 | 20383.4 | 
	
		| 1005 | 2025-05-08 00:51:31 | trap | 1 | 13983 | 16 | 0.936 | 14939.1 | 
	
		| 1004 | 2025-05-07 23:28:11 | trap | 2 | 29872 | 244 | 4.203 | 7107.3 | 
	
		| 1003 | 2025-05-04 09:36:47 | trap | 1 | 13983 | 16 | 0.873 | 16017.2 | 
	
		| 1002 | 2025-05-04 08:41:46 | trap | 1 | 13983 | 16 | 0.953 | 14672.6 | 
	
		| 1001 | 2025-04-30 14:07:57 | trap | 1 | 13983 | 16 | 1.890 | 7398.4 | 
	
		| 1000 | 2025-04-28 01:56:08 | trap | 1 | 13983 | 16 | 1.610 | 8685.1 | 
	
		| 999 | 2025-04-28 01:49:09 | trap | 2 | 29872 | 244 | 4.610 | 6479.8 | 
	
		| 998 | 2025-04-27 04:50:53 | trap | 2 | 29872 | 244 | 0.906 | 32971.3 | 
	
		| 997 | 2025-04-27 03:51:38 | trap | 1 | 13983 | 16 | 0.250 | 55932.0 | 
	
		| 996 | 2025-04-27 03:46:38 | trap | 1 | 13983 | 16 | 0.546 | 25609.9 | 
	
		| 995 | 2025-04-16 06:04:25 | trap | 1 | 13983 | 16 | 1.046 | 13368.1 | 
	
		| 994 | 2025-04-08 22:45:49 | trap | 1 | 13983 | 16 | 1.093 | 12793.2 | 
	
		| 993 | 2025-04-07 00:25:36 | trap | 1 | 13983 | 16 | 0.670 | 20870.1 | 
	
		| 992 | 2025-04-02 08:04:13 | trap | 1 | 13983 | 16 | 0.686 | 20383.4 | 
	
		| 991 | 2025-03-29 16:51:09 | trap | 1 | 13983 | 16 | 0.890 | 15711.2 | 
	
		| 990 | 2025-03-27 02:48:15 | trap | 1 | 13983 | 16 | 0.670 | 20870.1 | 
	
		| 989 | 2025-03-15 16:44:22 | trap | 2 | 29872 | 244 | 6.360 | 4696.9 | 
	
		| 988 | 2025-03-15 16:24:38 | trap | 1 | 13983 | 16 | 0.406 | 34440.9 | 
	
		| 987 | 2025-03-12 03:27:28 | trap | 1 | 13983 | 16 | 1.330 | 10513.5 | 
	
		| 986 | 2025-03-09 17:43:20 | trap | 1 | 13983 | 16 | 1.170 | 11951.3 | 
	
		| 985 | 2025-03-07 02:53:49 | trap | 1 | 13983 | 16 | 0.860 | 16259.3 | 
	
		| 984 | 2025-03-05 04:56:00 | trap | 1 | 13983 | 16 | 0.296 | 47239.9 | 
	
		| 983 | 2025-03-03 05:22:00 | trap | 1 | 13983 | 16 | 0.700 | 19975.7 | 
	
		| 982 | 2025-02-26 06:07:51 | trap | 1 | 13983 | 16 | 0.233 | 60012.9 | 
	
		| 981 | 2025-02-25 13:27:52 | trap | 2 | 29872 | 244 | 3.423 | 8726.8 | 
	
		| 980 | 2025-02-25 12:45:05 | trap | 2 | 29872 | 244 | 3.576 | 8353.5 | 
	
		| 979 | 2025-02-25 11:46:40 | trap | 1 | 13983 | 16 | 0.233 | 60012.9 | 
	
		| 978 | 2025-02-25 09:37:50 | trap | 2 | 29872 | 244 | 6.170 | 4841.5 | 
	
		| 977 | 2025-02-24 04:01:07 | trap | 1 | 13983 | 16 | 0.563 | 24836.6 | 
	
		| 976 | 2025-02-17 05:45:28 | trap | 1 | 13983 | 16 | 0.500 | 27966.0 | 
	
		| 975 | 2025-02-05 02:22:20 | trap | 1 | 13983 | 16 | 0.893 | 15658.5 | 
	
		| 974 | 2025-01-26 11:08:13 | trap | 1 | 13983 | 16 | 0.236 | 59250.0 | 
	
		| 973 | 2025-01-26 06:19:52 | trap | 1 | 13983 | 16 | 1.093 | 12793.2 | 
	
		| 972 | 2025-01-20 15:09:06 | trap | 1 | 13983 | 16 | 0.970 | 14415.5 | 
	
		| 971 | 2025-01-15 03:27:59 | trap | 1 | 13983 | 16 | 1.063 | 13154.3 | 
	
		| 970 | 2025-01-12 17:34:51 | trap | 1 | 13983 | 16 | 1.626 | 8599.6 | 
	
		| 969 | 2025-01-05 23:10:27 | trap | 2 | 29872 | 244 | 4.296 | 6953.4 |