History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
    
        
    
    
    
    
    
    
    
    
        
    Fuzzy-string Searches
        (up to 100 most recent)
        for
        "tower"
        
    
	
		| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec | 
		| 1096 | 2025-10-31 07:07:23 | tower | 1 | 28756 | 20 | 0.453 | 63479.0 | 
		| 1095 | 2025-10-28 23:39:26 | tower | 2 | 53800 | 245 | 1.906 | 28226.7 | 
		| 1094 | 2025-10-28 11:45:12 | tower | 1 | 28756 | 20 | 0.500 | 57512.0 | 
		| 1093 | 2025-10-28 04:16:13 | tower | 1 | 28756 | 20 | 0.453 | 63479.0 | 
		| 1092 | 2025-10-24 20:06:14 | tower | 1 | 28756 | 20 | 1.846 | 15577.5 | 
		| 1091 | 2025-10-24 16:16:47 | tower | 1 | 28756 | 20 | 0.470 | 61183.0 | 
		| 1090 | 2025-10-23 12:40:00 | tower | 1 | 28756 | 20 | 0.970 | 29645.4 | 
		| 1089 | 2025-10-21 19:29:40 | tower | 2 | 53800 | 245 | 11.780 | 4567.1 | 
		| 1088 | 2025-10-17 20:01:50 | tower | 1 | 28756 | 20 | 0.500 | 57512.0 | 
		| 1087 | 2025-10-15 19:08:23 | tower | 1 | 28756 | 20 | 0.923 | 31154.9 | 
		| 1086 | 2025-10-14 08:12:12 | tower | 1 | 28756 | 20 | 0.530 | 54256.6 | 
		| 1085 | 2025-10-02 15:20:35 | tower | 1 | 28756 | 20 | 0.500 | 57512.0 | 
		| 1084 | 2025-10-01 20:47:22 | tower | 1 | 28756 | 20 | 0.533 | 53951.2 | 
		| 1083 | 2025-09-25 23:30:08 | tower | 2 | 53800 | 245 | 1.720 | 31279.1 | 
		| 1082 | 2025-09-25 21:53:58 | tower | 1 | 28756 | 20 | 1.063 | 27051.7 | 
		| 1081 | 2025-09-19 16:27:16 | tower | 1 | 28756 | 20 | 0.500 | 57512.0 | 
		| 1080 | 2025-09-16 05:47:05 | tower | 2 | 53800 | 245 | 1.390 | 38705.0 | 
		| 1079 | 2025-09-10 14:06:56 | tower | 1 | 28756 | 20 | 1.110 | 25906.3 | 
		| 1078 | 2025-09-10 12:19:44 | tower | 1 | 28756 | 20 | 0.546 | 52666.7 | 
		| 1077 | 2025-09-09 05:43:51 | tower | 1 | 28756 | 20 | 0.500 | 57512.0 | 
		| 1076 | 2025-09-07 10:50:28 | tower | 1 | 28756 | 20 | 1.013 | 28387.0 | 
		| 1075 | 2025-09-06 04:11:18 | tower | 1 | 28756 | 20 | 0.470 | 61183.0 | 
		| 1074 | 2025-09-04 15:55:55 | tower | 1 | 28756 | 20 | 0.456 | 63061.4 | 
		| 1073 | 2025-08-31 15:36:28 | tower | 1 | 28756 | 20 | 0.516 | 55728.7 | 
		| 1072 | 2025-08-29 00:09:29 | tower | 1 | 28756 | 20 | 0.533 | 53951.2 | 
		| 1071 | 2025-08-28 14:54:29 | tower | 1 | 28756 | 20 | 0.516 | 55728.7 | 
		| 1070 | 2025-08-24 19:32:09 | tower | 1 | 28756 | 20 | 2.296 | 12524.4 | 
		| 1069 | 2025-08-05 18:24:35 | tower | 2 | 53800 | 245 | 6.470 | 8315.3 | 
		| 1068 | 2025-08-04 17:27:22 | tower | 1 | 28756 | 20 | 1.470 | 19561.9 | 
		| 1067 | 2025-08-04 07:01:31 | tower | 1 | 28756 | 20 | 0.936 | 30722.2 | 
		| 1066 | 2025-08-03 02:33:03 | tower | 2 | 53800 | 245 | 4.656 | 11555.0 | 
		| 1065 | 2025-07-30 22:21:07 | tower | 1 | 28756 | 20 | 0.516 | 55728.7 | 
		| 1064 | 2025-07-28 01:05:41 | tower | 2 | 53800 | 245 | 4.343 | 12387.8 | 
		| 1063 | 2025-07-24 20:20:41 | tower | 1 | 28756 | 20 | 2.283 | 12595.7 | 
		| 1062 | 2025-07-23 22:16:51 | tower | 1 | 28756 | 20 | 2.283 | 12595.7 | 
		| 1061 | 2025-07-23 18:08:59 | tower | 1 | 28756 | 20 | 1.030 | 27918.4 | 
		| 1060 | 2025-07-22 23:00:29 | tower | 1 | 28756 | 20 | 1.250 | 23004.8 | 
		| 1059 | 2025-07-22 12:19:56 | tower | 1 | 28756 | 20 | 3.720 | 7730.1 | 
		| 1058 | 2025-07-02 08:32:11 | tower | 1 | 28756 | 20 | 2.220 | 12953.2 | 
		| 1057 | 2025-06-30 01:55:15 | tower | 1 | 28756 | 20 | 1.516 | 18968.3 | 
		| 1056 | 2025-06-26 15:35:21 | tower | 1 | 28756 | 20 | 2.390 | 12031.8 | 
		| 1055 | 2025-06-21 07:43:17 | tower | 2 | 53800 | 245 | 8.156 | 6596.4 | 
		| 1054 | 2025-06-19 20:22:23 | tower | 1 | 28756 | 20 | 0.826 | 34813.6 | 
		| 1053 | 2025-06-16 07:15:24 | tower | 1 | 28756 | 20 | 3.033 | 9481.0 | 
		| 1052 | 2025-06-16 05:42:14 | tower | 1 | 28756 | 20 | 1.923 | 14953.7 | 
		| 1051 | 2025-06-10 05:45:34 | tower | 1 | 28756 | 20 | 2.360 | 12184.7 | 
		| 1050 | 2025-06-02 05:48:19 | tower | 1 | 28756 | 20 | 1.406 | 20452.3 | 
		| 1049 | 2025-05-31 13:23:20 | tower | 1 | 28756 | 20 | 1.076 | 26724.9 | 
		| 1048 | 2025-05-30 09:49:30 | tower | 1 | 28756 | 20 | 0.970 | 29645.4 | 
		| 1047 | 2025-05-26 15:45:36 | tower | 2 | 53800 | 245 | 9.826 | 5475.3 | 
		| 1046 | 2025-05-25 00:05:01 | tower | 2 | 53800 | 245 | 4.953 | 10862.1 | 
		| 1045 | 2025-05-22 05:26:00 | tower | 1 | 28756 | 20 | 3.563 | 8070.7 | 
		| 1044 | 2025-05-20 16:25:28 | tower | 1 | 28756 | 20 | 1.513 | 19005.9 | 
		| 1043 | 2025-05-19 20:29:42 | tower | 1 | 28756 | 20 | 1.376 | 20898.3 | 
		| 1042 | 2025-05-16 06:03:12 | tower | 1 | 28756 | 20 | 1.716 | 16757.6 | 
		| 1041 | 2025-05-13 13:27:43 | tower | 1 | 28756 | 20 | 0.546 | 52666.7 | 
		| 1040 | 2025-05-12 04:30:17 | tower | 1 | 28756 | 20 | 3.800 | 7567.4 | 
		| 1039 | 2025-05-11 17:03:16 | tower | 1 | 28756 | 20 | 0.513 | 56054.6 | 
		| 1038 | 2025-05-07 17:40:50 | tower | 1 | 28756 | 20 | 0.486 | 59168.7 | 
		| 1037 | 2025-05-07 02:12:53 | tower | 1 | 28756 | 20 | 0.516 | 55728.7 | 
		| 1036 | 2025-05-04 09:25:41 | tower | 1 | 28756 | 20 | 2.330 | 12341.6 | 
		| 1035 | 2025-05-02 17:43:45 | tower | 1 | 28756 | 20 | 0.563 | 51076.4 | 
		| 1034 | 2025-05-02 12:56:13 | tower | 1 | 28756 | 20 | 2.766 | 10396.2 | 
		| 1033 | 2025-04-29 22:30:25 | tower | 2 | 53800 | 245 | 6.906 | 7790.3 | 
		| 1032 | 2025-04-29 15:37:36 | tower | 1 | 28756 | 20 | 0.843 | 34111.5 | 
		| 1031 | 2025-04-29 15:22:48 | tower | 1 | 28756 | 20 | 2.670 | 10770.0 | 
		| 1030 | 2025-04-20 14:35:34 | tower | 1 | 28756 | 20 | 2.330 | 12341.6 | 
		| 1029 | 2025-04-19 20:01:30 | tower | 1 | 28756 | 20 | 2.546 | 11294.6 | 
		| 1028 | 2025-04-19 18:54:17 | tower | 1 | 28756 | 20 | 0.533 | 53951.2 | 
		| 1027 | 2025-04-19 11:35:36 | tower | 1 | 28756 | 20 | 0.453 | 63479.0 | 
		| 1026 | 2025-04-16 15:54:46 | tower | 2 | 53800 | 245 | 7.470 | 7202.1 | 
		| 1025 | 2025-04-16 13:18:48 | tower | 1 | 28756 | 20 | 2.550 | 11276.9 | 
		| 1024 | 2025-04-16 09:17:53 | tower | 1 | 28756 | 20 | 2.203 | 13053.1 | 
		| 1023 | 2025-04-16 04:41:23 | tower | 1 | 28756 | 20 | 2.170 | 13251.6 | 
		| 1022 | 2025-04-13 22:35:17 | tower | 1 | 28756 | 20 | 2.640 | 10892.4 | 
		| 1021 | 2025-03-29 07:08:54 | tower | 1 | 28756 | 20 | 2.360 | 12184.7 | 
		| 1020 | 2025-03-26 16:43:21 | tower | 1 | 28756 | 20 | 1.440 | 19969.4 | 
		| 1019 | 2025-03-24 07:33:42 | tower | 2 | 53800 | 245 | 7.923 | 6790.4 | 
		| 1018 | 2025-03-21 18:54:33 | tower | 2 | 53800 | 245 | 8.516 | 6317.5 | 
		| 1017 | 2025-03-21 10:05:50 | tower | 2 | 53800 | 245 | 8.173 | 6582.7 | 
		| 1016 | 2025-03-19 21:02:28 | tower | 1 | 28756 | 20 | 1.156 | 24875.4 | 
		| 1015 | 2025-03-16 06:32:14 | tower | 2 | 53800 | 245 | 7.703 | 6984.3 | 
		| 1014 | 2025-03-16 05:56:55 | tower | 1 | 28756 | 20 | 3.546 | 8109.4 | 
		| 1013 | 2025-02-25 11:31:40 | tower | 1 | 28756 | 20 | 0.953 | 30174.2 | 
		| 1012 | 2025-02-25 05:43:32 | tower | 2 | 53800 | 245 | 7.953 | 6764.7 | 
		| 1011 | 2025-02-25 05:34:32 | tower | 1 | 28756 | 20 | 0.436 | 65954.1 | 
		| 1010 | 2025-02-24 02:34:28 | tower | 1 | 28756 | 20 | 2.190 | 13130.6 | 
		| 1009 | 2025-02-18 18:48:58 | tower | 1 | 28756 | 20 | 0.986 | 29164.3 | 
		| 1008 | 2025-02-16 04:42:20 | tower | 1 | 28756 | 20 | 1.483 | 19390.4 | 
		| 1007 | 2025-02-16 03:51:38 | tower | 1 | 28756 | 20 | 2.406 | 11951.8 | 
		| 1006 | 2025-02-16 03:49:51 | tower | 1 | 28756 | 20 | 2.406 | 11951.8 | 
		| 1005 | 2025-01-27 00:58:47 | tower | 1 | 28756 | 20 | 2.376 | 12102.7 | 
		| 1004 | 2025-01-27 00:56:46 | tower | 2 | 53800 | 245 | 10.093 | 5330.4 | 
		| 1003 | 2025-01-26 09:33:12 | tower | 1 | 28756 | 20 | 2.266 | 12690.2 | 
		| 1002 | 2025-01-26 07:08:45 | tower | 2 | 53800 | 245 | 7.893 | 6816.2 | 
		| 1001 | 2025-01-26 01:09:02 | tower | 2 | 53800 | 245 | 3.796 | 14172.8 | 
		| 1000 | 2025-01-26 00:29:16 | tower | 1 | 28756 | 20 | 0.436 | 65954.1 | 
		| 999 | 2025-01-25 02:10:48 | tower | 1 | 28756 | 20 | 0.533 | 53951.2 | 
		| 998 | 2025-01-24 16:54:55 | tower | 1 | 28756 | 20 | 1.563 | 18398.0 | 
		| 997 | 2025-01-17 00:20:29 | tower | 1 | 28756 | 20 | 1.076 | 26724.9 |