History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
    
        
    
    
    
    
    
    
    
    
        
    Fuzzy-string Searches
        (up to 100 most recent)
        for
        "scalar"
        
    
	
		| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec | 
		| 1082 | 2025-10-24 16:27:50 | scalar | 1 | 48755 | 4 | 0.813 | 59969.2 | 
		| 1081 | 2025-10-24 05:15:31 | scalar | 3 | 112716 | 573 | 6.143 | 18348.7 | 
		| 1080 | 2025-10-21 09:48:41 | scalar | 1 | 48755 | 4 | 2.200 | 22161.4 | 
		| 1079 | 2025-10-19 21:45:38 | scalar | 3 | 112716 | 573 | 22.873 | 4927.9 | 
		| 1078 | 2025-10-19 21:45:17 | scalar | 3 | 112716 | 573 | 24.393 | 4620.8 | 
		| 1077 | 2025-10-19 21:44:58 | scalar | 3 | 112716 | 573 | 26.896 | 4190.8 | 
		| 1076 | 2025-10-19 21:44:48 | scalar | 3 | 112716 | 573 | 30.896 | 3648.2 | 
		| 1075 | 2025-10-19 13:34:10 | scalar | 1 | 48755 | 4 | 0.780 | 62506.4 | 
		| 1074 | 2025-10-17 11:20:30 | scalar | 3 | 112716 | 573 | 5.266 | 21404.5 | 
		| 1073 | 2025-10-17 02:18:31 | scalar | 3 | 112716 | 573 | 5.596 | 20142.2 | 
		| 1072 | 2025-10-13 17:22:37 | scalar | 1 | 48755 | 4 | 0.843 | 57835.1 | 
		| 1071 | 2025-10-08 00:35:41 | scalar | 2 | 82551 | 45 | 2.533 | 32590.2 | 
		| 1070 | 2025-10-07 18:50:05 | scalar | 3 | 112716 | 573 | 5.970 | 18880.4 | 
		| 1069 | 2025-09-26 06:05:22 | scalar | 3 | 112716 | 573 | 5.513 | 20445.5 | 
		| 1068 | 2025-09-20 09:01:08 | scalar | 3 | 112716 | 573 | 4.953 | 22757.1 | 
		| 1067 | 2025-09-19 16:47:03 | scalar | 3 | 112716 | 573 | 4.923 | 22895.8 | 
		| 1066 | 2025-09-18 12:47:56 | scalar | 1 | 48755 | 4 | 0.953 | 51159.5 | 
		| 1065 | 2025-09-18 08:07:54 | scalar | 1 | 48755 | 4 | 0.843 | 57835.1 | 
		| 1064 | 2025-09-09 12:46:11 | scalar | 3 | 112716 | 573 | 5.750 | 19602.8 | 
		| 1063 | 2025-09-05 00:22:53 | scalar | 1 | 48755 | 4 | 0.876 | 55656.4 | 
		| 1062 | 2025-09-02 17:05:14 | scalar | 3 | 112716 | 573 | 5.453 | 20670.5 | 
		| 1061 | 2025-09-01 05:37:13 | scalar | 3 | 112716 | 573 | 5.783 | 19490.9 | 
		| 1060 | 2025-08-29 11:52:21 | scalar | 3 | 112716 | 573 | 5.720 | 19705.6 | 
		| 1059 | 2025-08-29 03:20:06 | scalar | 3 | 112716 | 573 | 5.796 | 19447.2 | 
		| 1058 | 2025-08-26 15:42:20 | scalar | 1 | 48755 | 4 | 0.860 | 56691.9 | 
		| 1057 | 2025-08-25 07:14:13 | scalar | 1 | 48755 | 4 | 6.030 | 8085.4 | 
		| 1056 | 2025-08-23 09:53:02 | scalar | 1 | 48755 | 4 | 2.080 | 23439.9 | 
		| 1055 | 2025-08-17 03:36:15 | scalar | 3 | 112716 | 573 | 25.716 | 4383.1 | 
		| 1054 | 2025-08-15 07:21:59 | scalar | 3 | 112716 | 573 | 30.110 | 3743.5 | 
		| 1053 | 2025-08-12 15:18:48 | scalar | 3 | 112716 | 573 | 25.843 | 4361.6 | 
		| 1052 | 2025-08-11 02:45:50 | scalar | 1 | 48755 | 4 | 0.873 | 55847.7 | 
		| 1051 | 2025-08-11 00:23:05 | scalar | 1 | 48755 | 4 | 0.780 | 62506.4 | 
		| 1050 | 2025-08-10 11:41:24 | scalar | 1 | 48755 | 4 | 3.966 | 12293.2 | 
		| 1049 | 2025-08-05 15:29:51 | scalar | 2 | 82551 | 45 | 8.216 | 10047.6 | 
		| 1048 | 2025-08-05 00:24:02 | scalar | 3 | 112716 | 573 | 15.703 | 7178.0 | 
		| 1047 | 2025-08-04 09:28:17 | scalar | 1 | 48755 | 4 | 0.843 | 57835.1 | 
		| 1046 | 2025-08-02 01:32:06 | scalar | 3 | 112716 | 573 | 11.923 | 9453.7 | 
		| 1045 | 2025-08-01 16:11:13 | scalar | 1 | 48755 | 4 | 2.190 | 22262.6 | 
		| 1044 | 2025-08-01 00:20:16 | scalar | 2 | 82551 | 45 | 8.656 | 9536.9 | 
		| 1043 | 2025-07-31 10:56:37 | scalar | 1 | 48755 | 4 | 0.890 | 54780.9 | 
		| 1042 | 2025-07-24 18:59:21 | scalar | 1 | 48755 | 4 | 5.923 | 8231.5 | 
		| 1041 | 2025-07-23 11:44:44 | scalar | 1 | 48755 | 4 | 3.813 | 12786.5 | 
		| 1040 | 2025-07-22 16:16:18 | scalar | 1 | 48755 | 4 | 2.283 | 21355.7 | 
		| 1039 | 2025-07-12 22:06:18 | scalar | 1 | 48755 | 4 | 2.080 | 23439.9 | 
		| 1038 | 2025-07-10 03:05:14 | scalar | 1 | 48755 | 4 | 4.000 | 12188.8 | 
		| 1037 | 2025-07-08 10:45:50 | scalar | 1 | 48755 | 4 | 6.013 | 8108.3 | 
		| 1036 | 2025-07-02 14:49:36 | scalar | 1 | 48755 | 4 | 2.266 | 21515.9 | 
		| 1035 | 2025-07-01 08:39:28 | scalar | 1 | 48755 | 4 | 0.780 | 62506.4 | 
		| 1034 | 2025-06-20 11:29:44 | scalar | 3 | 112716 | 573 | 27.393 | 4114.8 | 
		| 1033 | 2025-06-20 04:59:20 | scalar | 3 | 112716 | 573 | 18.643 | 6046.0 | 
		| 1032 | 2025-06-18 23:41:23 | scalar | 3 | 112716 | 573 | 19.936 | 5653.9 | 
		| 1031 | 2025-06-18 21:57:59 | scalar | 3 | 112716 | 573 | 28.266 | 3987.7 | 
		| 1030 | 2025-06-18 05:07:24 | scalar | 3 | 112716 | 573 | 13.360 | 8436.8 | 
		| 1029 | 2025-06-16 07:28:16 | scalar | 3 | 112716 | 573 | 22.063 | 5108.8 | 
		| 1028 | 2025-06-15 07:42:47 | scalar | 1 | 48755 | 4 | 0.970 | 50262.9 | 
		| 1027 | 2025-06-09 23:32:18 | scalar | 1 | 48755 | 4 | 5.653 | 8624.6 | 
		| 1026 | 2025-06-06 10:27:15 | scalar | 1 | 48755 | 4 | 2.470 | 19738.9 | 
		| 1025 | 2025-06-06 09:52:13 | scalar | 1 | 48755 | 4 | 4.453 | 10948.8 | 
		| 1024 | 2025-06-02 13:39:07 | scalar | 1 | 48755 | 4 | 2.580 | 18897.3 | 
		| 1023 | 2025-05-31 02:23:01 | scalar | 1 | 48755 | 4 | 5.830 | 8362.8 | 
		| 1022 | 2025-05-26 04:48:29 | scalar | 1 | 48755 | 4 | 4.143 | 11768.0 | 
		| 1021 | 2025-05-20 15:21:54 | scalar | 1 | 48755 | 4 | 4.263 | 11436.8 | 
		| 1020 | 2025-05-12 02:05:51 | scalar | 2 | 82551 | 45 | 7.296 | 11314.6 | 
		| 1019 | 2025-05-10 18:12:15 | scalar | 2 | 82551 | 45 | 15.283 | 5401.5 | 
		| 1018 | 2025-05-09 23:15:33 | scalar | 1 | 48755 | 4 | 6.266 | 7780.9 | 
		| 1017 | 2025-05-06 10:04:40 | scalar | 1 | 48755 | 4 | 6.860 | 7107.1 | 
		| 1016 | 2025-05-05 04:34:52 | scalar | 3 | 112716 | 573 | 28.280 | 3985.7 | 
		| 1015 | 2025-05-04 07:29:03 | scalar | 3 | 112716 | 573 | 22.503 | 5008.9 | 
		| 1014 | 2025-05-03 22:06:51 | scalar | 3 | 112716 | 573 | 29.220 | 3857.5 | 
		| 1013 | 2025-05-03 10:38:28 | scalar | 3 | 112716 | 573 | 15.173 | 7428.7 | 
		| 1012 | 2025-05-02 14:28:49 | scalar | 1 | 48755 | 4 | 4.890 | 9970.3 | 
		| 1011 | 2025-04-27 13:56:12 | scalar | 3 | 112716 | 573 | 5.580 | 20200.0 | 
		| 1010 | 2025-04-20 22:44:32 | scalar | 2 | 82551 | 45 | 7.720 | 10693.1 | 
		| 1009 | 2025-04-20 08:58:40 | scalar | 2 | 82551 | 45 | 10.376 | 7956.0 | 
		| 1008 | 2025-04-19 23:02:59 | scalar | 3 | 112716 | 573 | 29.063 | 3878.3 | 
		| 1007 | 2025-04-19 14:36:25 | scalar | 1 | 48755 | 4 | 0.923 | 52822.3 | 
		| 1006 | 2025-04-18 10:07:35 | scalar | 1 | 48755 | 4 | 4.500 | 10834.4 | 
		| 1005 | 2025-04-16 06:39:27 | scalar | 1 | 48755 | 4 | 2.406 | 20263.9 | 
		| 1004 | 2025-04-14 11:15:12 | scalar | 3 | 112716 | 573 | 20.953 | 5379.5 | 
		| 1003 | 2025-04-08 23:08:13 | scalar | 1 | 48755 | 4 | 2.423 | 20121.7 | 
		| 1002 | 2025-03-31 12:20:07 | scalar | 1 | 48755 | 4 | 3.173 | 15365.6 | 
		| 1001 | 2025-03-31 09:30:57 | scalar | 3 | 112716 | 573 | 16.326 | 6904.1 | 
		| 1000 | 2025-03-31 06:19:11 | scalar | 3 | 112716 | 573 | 26.800 | 4205.8 | 
		| 999 | 2025-03-30 22:44:13 | scalar | 3 | 112716 | 573 | 25.563 | 4409.3 | 
		| 998 | 2025-03-29 04:00:50 | scalar | 3 | 112716 | 573 | 37.173 | 3032.2 | 
		| 997 | 2025-03-20 10:47:32 | scalar | 2 | 82551 | 45 | 13.863 | 5954.8 | 
		| 996 | 2025-03-20 00:54:10 | scalar | 3 | 112716 | 573 | 18.763 | 6007.4 | 
		| 995 | 2025-03-19 17:27:27 | scalar | 1 | 48755 | 4 | 2.186 | 22303.3 | 
		| 994 | 2025-03-17 04:59:58 | scalar | 1 | 48755 | 4 | 2.093 | 23294.3 | 
		| 993 | 2025-03-15 23:56:39 | scalar | 1 | 48755 | 4 | 4.360 | 11182.3 | 
		| 992 | 2025-03-11 13:54:49 | scalar | 1 | 48755 | 4 | 0.923 | 52822.3 | 
		| 991 | 2025-03-09 05:05:58 | scalar | 1 | 48755 | 4 | 3.936 | 12386.9 | 
		| 990 | 2025-03-07 12:20:00 | scalar | 3 | 112716 | 573 | 27.093 | 4160.3 | 
		| 989 | 2025-03-07 04:29:33 | scalar | 3 | 112716 | 573 | 4.843 | 23274.0 | 
		| 988 | 2025-03-03 10:17:49 | scalar | 2 | 82551 | 45 | 5.310 | 15546.3 | 
		| 987 | 2025-03-03 04:35:30 | scalar | 1 | 48755 | 4 | 3.576 | 13633.9 | 
		| 986 | 2025-02-27 15:32:46 | scalar | 3 | 112716 | 573 | 30.390 | 3709.0 | 
		| 985 | 2025-02-27 10:31:32 | scalar | 2 | 82551 | 45 | 15.983 | 5164.9 | 
		| 984 | 2025-02-27 10:31:04 | scalar | 3 | 112716 | 573 | 28.593 | 3942.1 | 
		| 983 | 2025-02-27 10:27:33 | scalar | 3 | 112716 | 573 | 23.613 | 4773.5 |