History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
    
        
    
    
    
    
    
    
    
    
        
    Fuzzy-string Searches
        (up to 100 most recent)
        for
        "slab"
        
    
	
		| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec | 
	
		| 1116 | 2025-11-02 07:59:55 | slab | 2 | 29872 | 223 | 0.780 | 38297.4 | 
	
		| 1115 | 2025-10-31 13:13:05 | slab | 1 | 13983 | 17 | 0.216 | 64736.1 | 
	
		| 1114 | 2025-10-31 03:04:22 | slab | 2 | 29872 | 223 | 0.766 | 38997.4 | 
	
		| 1113 | 2025-10-29 23:14:02 | slab | 1 | 13983 | 17 | 0.266 | 52567.7 | 
	
		| 1112 | 2025-10-25 18:28:56 | slab | 2 | 29872 | 223 | 1.000 | 29872.0 | 
	
		| 1111 | 2025-10-25 00:32:09 | slab | 2 | 29872 | 223 | 0.936 | 31914.5 | 
	
		| 1110 | 2025-10-21 14:10:53 | slab | 2 | 29872 | 223 | 0.893 | 33451.3 | 
	
		| 1109 | 2025-10-19 21:55:44 | slab | 1 | 13983 | 17 | 0.216 | 64736.1 | 
	
		| 1108 | 2025-10-19 12:51:15 | slab | 2 | 29872 | 223 | 3.123 | 9565.2 | 
	
		| 1107 | 2025-10-14 00:32:22 | slab | 2 | 29872 | 223 | 1.720 | 17367.4 | 
	
		| 1106 | 2025-10-12 14:26:45 | slab | 1 | 13983 | 17 | 0.216 | 64736.1 | 
	
		| 1105 | 2025-10-12 10:53:45 | slab | 2 | 29872 | 223 | 0.906 | 32971.3 | 
	
		| 1104 | 2025-10-11 03:36:43 | slab | 2 | 29872 | 223 | 0.890 | 33564.0 | 
	
		| 1103 | 2025-10-10 17:49:11 | slab | 1 | 13983 | 17 | 0.263 | 53167.3 | 
	
		| 1102 | 2025-10-09 22:08:45 | slab | 2 | 29872 | 223 | 1.813 | 16476.6 | 
	
		| 1101 | 2025-10-06 21:16:41 | slab | 1 | 13983 | 17 | 0.530 | 26383.0 | 
	
		| 1100 | 2025-10-02 23:25:35 | slab | 1 | 13983 | 17 | 0.483 | 28950.3 | 
	
		| 1099 | 2025-10-02 01:44:46 | slab | 1 | 13983 | 17 | 0.233 | 60012.9 | 
	
		| 1098 | 2025-09-28 00:28:25 | slab | 1 | 13983 | 17 | 0.250 | 55932.0 | 
	
		| 1097 | 2025-09-27 19:35:52 | slab | 1 | 13983 | 17 | 0.266 | 52567.7 | 
	
		| 1096 | 2025-09-27 06:04:27 | slab | 2 | 29872 | 223 | 0.796 | 37527.6 | 
	
		| 1095 | 2025-09-24 22:11:25 | slab | 1 | 13983 | 17 | 1.703 | 8210.8 | 
	
		| 1094 | 2025-09-16 19:53:38 | slab | 2 | 29872 | 223 | 0.860 | 34734.9 | 
	
		| 1093 | 2025-09-15 02:52:43 | slab | 2 | 29872 | 223 | 0.860 | 34734.9 | 
	
		| 1092 | 2025-09-14 17:43:54 | slab | 2 | 29872 | 223 | 2.030 | 14715.3 | 
	
		| 1091 | 2025-09-13 15:17:11 | slab | 2 | 29872 | 223 | 0.890 | 33564.0 | 
	
		| 1090 | 2025-09-13 00:33:57 | slab | 1 | 13983 | 17 | 0.233 | 60012.9 | 
	
		| 1089 | 2025-09-12 07:57:58 | slab | 2 | 29872 | 223 | 1.906 | 15672.6 | 
	
		| 1088 | 2025-09-10 22:56:36 | slab | 2 | 29872 | 223 | 0.903 | 33080.8 | 
	
		| 1087 | 2025-09-10 08:25:49 | slab | 1 | 13983 | 17 | 0.250 | 55932.0 | 
	
		| 1086 | 2025-09-09 13:54:43 | slab | 2 | 29872 | 223 | 0.783 | 38150.7 | 
	
		| 1085 | 2025-09-09 09:13:25 | slab | 2 | 29872 | 223 | 0.783 | 38150.7 | 
	
		| 1084 | 2025-09-08 06:32:00 | slab | 2 | 29872 | 223 | 0.970 | 30795.9 | 
	
		| 1083 | 2025-09-05 11:50:47 | slab | 2 | 29872 | 223 | 0.876 | 34100.5 | 
	
		| 1082 | 2025-09-04 18:24:35 | slab | 1 | 13983 | 17 | 0.250 | 55932.0 | 
	
		| 1081 | 2025-09-03 07:47:21 | slab | 2 | 29872 | 223 | 0.766 | 38997.4 | 
	
		| 1080 | 2025-09-01 06:41:19 | slab | 1 | 13983 | 17 | 0.466 | 30006.4 | 
	
		| 1079 | 2025-09-01 02:02:39 | slab | 1 | 13983 | 17 | 0.233 | 60012.9 | 
	
		| 1078 | 2025-08-27 12:16:21 | slab | 1 | 13983 | 17 | 0.263 | 53167.3 | 
	
		| 1077 | 2025-08-22 20:44:42 | slab | 2 | 29872 | 223 | 6.890 | 4335.6 | 
	
		| 1076 | 2025-08-12 23:19:01 | slab | 2 | 29872 | 223 | 4.516 | 6614.7 | 
	
		| 1075 | 2025-08-11 23:42:26 | slab | 2 | 29872 | 223 | 2.013 | 14839.5 | 
	
		| 1074 | 2025-08-11 10:37:27 | slab | 1 | 13983 | 17 | 0.686 | 20383.4 | 
	
		| 1073 | 2025-08-10 21:41:31 | slab | 2 | 29872 | 223 | 2.266 | 13182.7 | 
	
		| 1072 | 2025-08-09 11:26:37 | slab | 1 | 13983 | 17 | 1.983 | 7051.4 | 
	
		| 1071 | 2025-08-08 04:02:46 | slab | 1 | 13983 | 17 | 0.500 | 27966.0 | 
	
		| 1070 | 2025-08-05 05:44:25 | slab | 2 | 29872 | 223 | 3.796 | 7869.3 | 
	
		| 1069 | 2025-08-04 14:53:13 | slab | 2 | 29872 | 223 | 5.810 | 5141.5 | 
	
		| 1068 | 2025-08-03 02:18:43 | slab | 2 | 29872 | 223 | 2.080 | 14361.5 | 
	
		| 1067 | 2025-08-02 21:23:21 | slab | 1 | 13983 | 17 | 0.576 | 24276.0 | 
	
		| 1066 | 2025-08-02 01:50:37 | slab | 1 | 13983 | 17 | 0.563 | 24836.6 | 
	
		| 1065 | 2025-07-31 23:54:51 | slab | 2 | 29872 | 223 | 2.283 | 13084.5 | 
	
		| 1064 | 2025-07-31 06:15:16 | slab | 1 | 13983 | 17 | 0.233 | 60012.9 | 
	
		| 1063 | 2025-07-31 01:38:36 | slab | 1 | 13983 | 17 | 0.500 | 27966.0 | 
	
		| 1062 | 2025-07-27 03:05:03 | slab | 1 | 13983 | 17 | 0.670 | 20870.1 | 
	
		| 1061 | 2025-07-25 09:33:36 | slab | 1 | 13983 | 17 | 1.156 | 12096.0 | 
	
		| 1060 | 2025-07-24 08:45:29 | slab | 1 | 13983 | 17 | 0.703 | 19890.5 | 
	
		| 1059 | 2025-07-22 15:23:10 | slab | 1 | 13983 | 17 | 0.640 | 21848.4 | 
	
		| 1058 | 2025-07-18 17:29:05 | slab | 1 | 13983 | 17 | 0.953 | 14672.6 | 
	
		| 1057 | 2025-07-16 08:27:16 | slab | 1 | 13983 | 17 | 1.876 | 7453.6 | 
	
		| 1056 | 2025-07-11 08:12:34 | slab | 1 | 13983 | 17 | 1.656 | 8443.8 | 
	
		| 1055 | 2025-07-08 10:42:35 | slab | 1 | 13983 | 17 | 0.890 | 15711.2 | 
	
		| 1054 | 2025-07-02 01:10:58 | slab | 1 | 13983 | 17 | 0.436 | 32071.1 | 
	
		| 1053 | 2025-07-01 22:49:03 | slab | 2 | 29872 | 223 | 3.953 | 7556.8 | 
	
		| 1052 | 2025-06-30 05:55:08 | slab | 1 | 13983 | 17 | 0.513 | 27257.3 | 
	
		| 1051 | 2025-06-30 00:59:28 | slab | 2 | 29872 | 223 | 4.533 | 6589.9 | 
	
		| 1050 | 2025-06-29 23:57:08 | slab | 1 | 13983 | 17 | 0.563 | 24836.6 | 
	
		| 1049 | 2025-06-28 09:26:48 | slab | 2 | 29872 | 223 | 2.343 | 12749.5 | 
	
		| 1048 | 2025-06-27 04:09:15 | slab | 2 | 29872 | 223 | 2.483 | 12030.6 | 
	
		| 1047 | 2025-06-26 11:16:25 | slab | 1 | 13983 | 17 | 0.580 | 24108.6 | 
	
		| 1046 | 2025-06-23 01:52:41 | slab | 1 | 13983 | 17 | 0.313 | 44674.1 | 
	
		| 1045 | 2025-06-21 04:27:45 | slab | 1 | 13983 | 17 | 1.860 | 7517.7 | 
	
		| 1044 | 2025-06-20 20:35:07 | slab | 1 | 13983 | 17 | 0.720 | 19420.8 | 
	
		| 1043 | 2025-06-18 11:52:12 | slab | 2 | 29872 | 223 | 2.936 | 10174.4 | 
	
		| 1042 | 2025-06-18 08:27:19 | slab | 2 | 29872 | 223 | 7.283 | 4101.6 | 
	
		| 1041 | 2025-06-18 03:09:55 | slab | 2 | 29872 | 223 | 5.610 | 5324.8 | 
	
		| 1040 | 2025-06-16 17:51:11 | slab | 2 | 29872 | 223 | 4.250 | 7028.7 | 
	
		| 1039 | 2025-06-15 07:58:50 | slab | 1 | 13983 | 17 | 0.266 | 52567.7 | 
	
		| 1038 | 2025-06-14 07:28:19 | slab | 1 | 13983 | 17 | 1.263 | 11071.3 | 
	
		| 1037 | 2025-06-10 07:29:35 | slab | 1 | 13983 | 17 | 1.610 | 8685.1 | 
	
		| 1036 | 2025-06-08 10:10:06 | slab | 1 | 13983 | 17 | 1.216 | 11499.2 | 
	
		| 1035 | 2025-06-06 17:20:34 | slab | 1 | 13983 | 17 | 0.250 | 55932.0 | 
	
		| 1034 | 2025-06-05 07:39:19 | slab | 1 | 13983 | 17 | 0.310 | 45106.5 | 
	
		| 1033 | 2025-06-04 21:25:59 | slab | 1 | 13983 | 17 | 1.343 | 10411.8 | 
	
		| 1032 | 2025-06-04 03:58:51 | slab | 2 | 29872 | 223 | 4.436 | 6734.0 | 
	
		| 1031 | 2025-06-02 09:21:04 | slab | 2 | 29872 | 223 | 2.266 | 13182.7 | 
	
		| 1030 | 2025-06-02 01:02:18 | slab | 1 | 13983 | 17 | 0.343 | 40766.8 | 
	
		| 1029 | 2025-05-31 11:14:04 | slab | 1 | 13983 | 17 | 1.173 | 11920.7 | 
	
		| 1028 | 2025-05-31 05:13:05 | slab | 1 | 13983 | 17 | 1.313 | 10649.7 | 
	
		| 1027 | 2025-05-30 23:52:50 | slab | 2 | 29872 | 223 | 3.173 | 9414.4 | 
	
		| 1026 | 2025-05-30 02:32:36 | slab | 2 | 29872 | 223 | 0.923 | 32364.0 | 
	
		| 1025 | 2025-05-29 03:27:49 | slab | 2 | 29872 | 223 | 3.093 | 9657.9 | 
	
		| 1024 | 2025-05-28 00:43:38 | slab | 1 | 13983 | 17 | 0.263 | 53167.3 | 
	
		| 1023 | 2025-05-27 21:02:05 | slab | 1 | 13983 | 17 | 0.220 | 63559.1 | 
	
		| 1022 | 2025-05-27 18:37:17 | slab | 2 | 29872 | 223 | 4.530 | 6594.3 | 
	
		| 1021 | 2025-05-27 10:16:07 | slab | 1 | 13983 | 17 | 0.890 | 15711.2 | 
	
		| 1020 | 2025-05-26 08:47:36 | slab | 1 | 13983 | 17 | 1.500 | 9322.0 | 
	
		| 1019 | 2025-05-23 12:59:02 | slab | 1 | 13983 | 17 | 0.780 | 17926.9 | 
	
		| 1018 | 2025-05-21 14:57:09 | slab | 1 | 13983 | 17 | 0.970 | 14415.5 | 
	
		| 1017 | 2025-05-17 23:10:16 | slab | 2 | 29872 | 223 | 2.656 | 11247.0 |