History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
    
        
    
    
    
    
    
    
    
    
        
    Fuzzy-string Searches
        (up to 100 most recent)
        for
        "coder"
        
    
	
		| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec | 
		| 1059 | 2025-10-28 08:41:34 | coder | 1 | 28756 | 22 | 0.470 | 61183.0 | 
		| 1058 | 2025-10-27 23:37:11 | coder | 1 | 28756 | 22 | 0.530 | 54256.6 | 
		| 1057 | 2025-10-21 15:02:23 | coder | 1 | 28756 | 22 | 2.220 | 12953.2 | 
		| 1056 | 2025-10-01 12:45:21 | coder | 1 | 28756 | 22 | 0.530 | 54256.6 | 
		| 1055 | 2025-09-28 13:19:04 | coder | 1 | 28756 | 22 | 0.470 | 61183.0 | 
		| 1054 | 2025-09-28 05:53:00 | coder | 1 | 28756 | 22 | 0.530 | 54256.6 | 
		| 1053 | 2025-09-26 14:09:54 | coder | 1 | 28756 | 22 | 0.513 | 56054.6 | 
		| 1052 | 2025-09-24 22:21:28 | coder | 1 | 28756 | 22 | 3.626 | 7930.5 | 
		| 1051 | 2025-09-24 22:21:18 | coder | 1 | 28756 | 22 | 1.530 | 18794.8 | 
		| 1050 | 2025-09-14 12:55:27 | coder | 2 | 53800 | 300 | 1.623 | 33148.5 | 
		| 1049 | 2025-09-14 04:31:30 | coder | 1 | 28756 | 22 | 0.513 | 56054.6 | 
		| 1048 | 2025-09-03 01:19:40 | coder | 1 | 28756 | 22 | 0.470 | 61183.0 | 
		| 1047 | 2025-09-01 16:17:03 | coder | 1 | 28756 | 22 | 0.466 | 61708.2 | 
		| 1046 | 2025-08-28 17:02:13 | coder | 1 | 28756 | 22 | 0.466 | 61708.2 | 
		| 1045 | 2025-08-24 07:38:15 | coder | 1 | 28756 | 22 | 2.750 | 10456.7 | 
		| 1044 | 2025-08-13 21:49:16 | coder | 1 | 28756 | 22 | 1.080 | 26625.9 | 
		| 1043 | 2025-08-11 12:35:30 | coder | 1 | 28756 | 22 | 2.550 | 11276.9 | 
		| 1042 | 2025-08-03 11:56:43 | coder | 1 | 28756 | 22 | 1.216 | 23648.0 | 
		| 1041 | 2025-08-01 01:51:11 | coder | 1 | 28756 | 22 | 0.966 | 29768.1 | 
		| 1040 | 2025-07-28 16:52:09 | coder | 1 | 28756 | 22 | 2.953 | 9737.9 | 
		| 1039 | 2025-07-28 06:57:10 | coder | 2 | 53800 | 300 | 4.750 | 11326.3 | 
		| 1038 | 2025-07-28 06:57:11 | coder | 2 | 53800 | 300 | 3.096 | 17377.3 | 
		| 1037 | 2025-07-27 11:40:16 | coder | 1 | 28756 | 22 | 1.076 | 26724.9 | 
		| 1036 | 2025-07-26 06:24:01 | coder | 1 | 28756 | 22 | 0.453 | 63479.0 | 
		| 1035 | 2025-07-26 06:23:41 | coder | 2 | 53800 | 300 | 1.610 | 33416.1 | 
		| 1034 | 2025-07-26 05:00:25 | coder | 2 | 53800 | 300 | 1.763 | 30516.2 | 
		| 1033 | 2025-07-24 11:54:04 | coder | 2 | 53800 | 300 | 11.516 | 4671.8 | 
		| 1032 | 2025-07-24 09:45:15 | coder | 1 | 28756 | 22 | 3.470 | 8287.0 | 
		| 1031 | 2025-07-21 03:15:10 | coder | 2 | 53800 | 300 | 1.550 | 34709.7 | 
		| 1030 | 2025-07-20 10:05:03 | coder | 1 | 28756 | 22 | 0.516 | 55728.7 | 
		| 1029 | 2025-07-18 16:28:32 | coder | 1 | 28756 | 22 | 2.530 | 11366.0 | 
		| 1028 | 2025-07-10 08:50:41 | coder | 1 | 28756 | 22 | 2.483 | 11581.2 | 
		| 1027 | 2025-07-09 17:39:36 | coder | 2 | 53800 | 300 | 1.656 | 32487.9 | 
		| 1026 | 2025-07-09 12:55:16 | coder | 1 | 28756 | 22 | 0.470 | 61183.0 | 
		| 1025 | 2025-07-04 06:53:59 | coder | 1 | 28756 | 22 | 3.513 | 8185.6 | 
		| 1024 | 2025-07-02 18:04:18 | coder | 1 | 28756 | 22 | 2.716 | 10587.6 | 
		| 1023 | 2025-07-02 03:44:26 | coder | 2 | 53800 | 300 | 7.766 | 6927.6 | 
		| 1022 | 2025-07-01 01:02:34 | coder | 1 | 28756 | 22 | 0.513 | 56054.6 | 
		| 1021 | 2025-06-29 11:31:42 | coder | 1 | 28756 | 22 | 0.530 | 54256.6 | 
		| 1020 | 2025-06-26 10:59:40 | coder | 1 | 28756 | 22 | 3.000 | 9585.3 | 
		| 1019 | 2025-06-24 18:08:23 | coder | 1 | 28756 | 22 | 3.530 | 8146.2 | 
		| 1018 | 2025-06-24 16:28:24 | coder | 1 | 28756 | 22 | 2.546 | 11294.6 | 
		| 1017 | 2025-06-22 19:51:01 | coder | 2 | 53800 | 300 | 1.640 | 32804.9 | 
		| 1016 | 2025-06-22 05:22:58 | coder | 2 | 53800 | 300 | 8.050 | 6683.2 | 
		| 1015 | 2025-06-21 00:37:46 | coder | 2 | 53800 | 300 | 6.173 | 8715.4 | 
		| 1014 | 2025-06-18 23:40:09 | coder | 1 | 28756 | 22 | 2.516 | 11429.3 | 
		| 1013 | 2025-06-18 23:39:25 | coder | 2 | 53800 | 300 | 8.623 | 6239.1 | 
		| 1012 | 2025-06-18 09:29:14 | coder | 2 | 53800 | 300 | 7.513 | 7160.9 | 
		| 1011 | 2025-06-13 15:09:02 | coder | 1 | 28756 | 22 | 0.453 | 63479.0 | 
		| 1010 | 2025-06-12 08:33:16 | coder | 1 | 28756 | 22 | 1.330 | 21621.1 | 
		| 1009 | 2025-06-10 02:54:59 | coder | 1 | 28756 | 22 | 0.983 | 29253.3 | 
		| 1008 | 2025-06-02 08:22:12 | coder | 2 | 53800 | 300 | 9.686 | 5554.4 | 
		| 1007 | 2025-06-01 16:39:47 | coder | 1 | 28756 | 22 | 0.560 | 51350.0 | 
		| 1006 | 2025-06-01 02:02:41 | coder | 2 | 53800 | 300 | 8.206 | 6556.2 | 
		| 1005 | 2025-05-30 08:32:09 | coder | 2 | 53800 | 300 | 8.263 | 6511.0 | 
		| 1004 | 2025-05-30 04:57:38 | coder | 1 | 28756 | 22 | 1.236 | 23265.4 | 
		| 1003 | 2025-05-27 10:20:52 | coder | 1 | 28756 | 22 | 1.466 | 19615.3 | 
		| 1002 | 2025-05-26 16:58:19 | coder | 1 | 28756 | 22 | 1.140 | 25224.6 | 
		| 1001 | 2025-05-25 21:16:40 | coder | 1 | 28756 | 22 | 3.970 | 7243.3 | 
		| 1000 | 2025-05-21 23:45:15 | coder | 1 | 28756 | 22 | 2.626 | 10950.5 | 
		| 999 | 2025-05-21 19:18:50 | coder | 1 | 28756 | 22 | 0.513 | 56054.6 | 
		| 998 | 2025-05-15 12:03:10 | coder | 1 | 28756 | 22 | 1.546 | 18600.3 | 
		| 997 | 2025-05-12 09:52:49 | coder | 1 | 28756 | 22 | 2.766 | 10396.2 | 
		| 996 | 2025-05-09 19:45:52 | coder | 2 | 53800 | 300 | 4.406 | 12210.6 | 
		| 995 | 2025-05-09 14:09:18 | coder | 1 | 28756 | 22 | 0.576 | 49923.6 | 
		| 994 | 2025-05-09 02:54:15 | coder | 1 | 28756 | 22 | 2.813 | 10222.5 | 
		| 993 | 2025-05-08 23:03:23 | coder | 1 | 28756 | 22 | 2.126 | 13525.9 | 
		| 992 | 2025-05-06 09:52:24 | coder | 1 | 28756 | 22 | 2.576 | 11163.0 | 
		| 991 | 2025-05-05 11:45:46 | coder | 1 | 28756 | 22 | 0.936 | 30722.2 | 
		| 990 | 2025-05-04 23:28:29 | coder | 1 | 28756 | 22 | 0.486 | 59168.7 | 
		| 989 | 2025-05-02 08:28:25 | coder | 2 | 53800 | 300 | 9.500 | 5663.2 | 
		| 988 | 2025-05-01 20:06:19 | coder | 1 | 28756 | 22 | 3.313 | 8679.7 | 
		| 987 | 2025-04-30 17:01:29 | coder | 1 | 28756 | 22 | 4.016 | 7160.4 | 
		| 986 | 2025-04-30 01:31:45 | coder | 1 | 28756 | 22 | 1.406 | 20452.3 | 
		| 985 | 2025-04-26 09:48:35 | coder | 1 | 28756 | 22 | 2.890 | 9950.2 | 
		| 984 | 2025-04-13 18:55:50 | coder | 1 | 28756 | 22 | 0.530 | 54256.6 | 
		| 983 | 2025-04-11 08:28:43 | coder | 1 | 28756 | 22 | 2.096 | 13719.5 | 
		| 982 | 2025-04-08 02:54:55 | coder | 1 | 28756 | 22 | 1.173 | 24514.9 | 
		| 981 | 2025-04-07 10:06:11 | coder | 1 | 28756 | 22 | 0.500 | 57512.0 | 
		| 980 | 2025-03-31 14:39:15 | coder | 1 | 28756 | 22 | 3.186 | 9025.7 | 
		| 979 | 2025-03-29 18:32:33 | coder | 1 | 28756 | 22 | 3.000 | 9585.3 | 
		| 978 | 2025-03-29 03:04:18 | coder | 1 | 28756 | 22 | 1.376 | 20898.3 | 
		| 977 | 2025-03-26 10:38:09 | coder | 1 | 28756 | 22 | 2.236 | 12860.5 | 
		| 976 | 2025-03-17 06:21:02 | coder | 1 | 28756 | 22 | 2.626 | 10950.5 | 
		| 975 | 2025-03-14 23:36:31 | coder | 1 | 28756 | 22 | 2.516 | 11429.3 | 
		| 974 | 2025-03-10 19:27:22 | coder | 1 | 28756 | 22 | 3.280 | 8767.1 | 
		| 973 | 2025-03-07 21:09:45 | coder | 1 | 28756 | 22 | 2.196 | 13094.7 | 
		| 972 | 2025-02-27 15:12:29 | coder | 2 | 53800 | 300 | 7.580 | 7097.6 | 
		| 971 | 2025-02-27 06:12:55 | coder | 2 | 53800 | 300 | 10.766 | 4997.2 | 
		| 970 | 2025-02-26 11:21:11 | coder | 2 | 53800 | 300 | 9.576 | 5618.2 | 
		| 969 | 2025-02-26 11:06:52 | coder | 1 | 28756 | 22 | 0.453 | 63479.0 | 
		| 968 | 2025-02-26 05:56:20 | coder | 1 | 28756 | 22 | 0.500 | 57512.0 | 
		| 967 | 2025-02-24 02:37:14 | coder | 1 | 28756 | 22 | 1.830 | 15713.7 | 
		| 966 | 2025-02-18 01:10:04 | coder | 1 | 28756 | 22 | 2.126 | 13525.9 | 
		| 965 | 2025-02-18 01:09:56 | coder | 1 | 28756 | 22 | 2.830 | 10161.1 | 
		| 964 | 2025-02-18 01:09:55 | coder | 1 | 28756 | 22 | 2.313 | 12432.3 | 
		| 963 | 2025-02-05 23:43:36 | coder | 1 | 28756 | 22 | 1.563 | 18398.0 | 
		| 962 | 2025-01-28 07:12:34 | coder | 2 | 53800 | 300 | 7.580 | 7097.6 | 
		| 961 | 2025-01-27 20:25:36 | coder | 2 | 53800 | 300 | 3.813 | 14109.6 | 
		| 960 | 2025-01-27 12:52:12 | coder | 1 | 28756 | 22 | 2.593 | 11089.9 |