History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"aver"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1138 | 2024-05-10 08:19:36 | aver | 1 | 13983 | 17 | 0.233 | 60012.9 |
1137 | 2024-05-05 04:13:41 | aver | 1 | 13983 | 17 | 0.266 | 52567.7 |
1136 | 2024-04-29 20:46:17 | aver | 1 | 13983 | 17 | 0.250 | 55932.0 |
1135 | 2024-04-29 00:54:10 | aver | 1 | 13983 | 17 | 0.250 | 55932.0 |
1134 | 2024-04-27 00:17:59 | aver | 1 | 13983 | 17 | 0.263 | 53167.3 |
1133 | 2024-04-19 03:51:55 | aver | 1 | 13983 | 17 | 0.283 | 49409.9 |
1132 | 2024-04-12 08:34:32 | aver | 2 | 29872 | 330 | 0.813 | 36742.9 |
1131 | 2024-04-07 03:28:10 | aver | 1 | 13983 | 17 | 0.453 | 30867.5 |
1130 | 2024-04-05 19:01:16 | aver | 1 | 13983 | 17 | 0.330 | 42372.7 |
1129 | 2024-04-05 01:02:59 | aver | 1 | 13983 | 17 | 0.236 | 59250.0 |
1128 | 2024-04-02 18:31:42 | aver | 1 | 13983 | 17 | 0.623 | 22444.6 |
1127 | 2024-03-30 20:31:06 | aver | 1 | 13983 | 17 | 0.233 | 60012.9 |
1126 | 2024-03-30 20:30:54 | aver | 2 | 29872 | 330 | 1.063 | 28101.6 |
1125 | 2024-03-30 19:46:23 | aver | 2 | 29872 | 330 | 2.030 | 14715.3 |
1124 | 2024-03-30 18:46:54 | aver | 1 | 13983 | 17 | 0.220 | 63559.1 |
1123 | 2024-03-30 11:33:44 | aver | 1 | 13983 | 17 | 0.203 | 68881.8 |
1122 | 2024-03-26 23:17:19 | aver | 1 | 13983 | 17 | 0.220 | 63559.1 |
1121 | 2024-03-05 20:11:19 | aver | 1 | 13983 | 17 | 0.563 | 24836.6 |
1120 | 2024-03-02 18:11:53 | aver | 2 | 29872 | 330 | 2.143 | 13939.3 |
1119 | 2024-03-02 17:34:52 | aver | 1 | 13983 | 17 | 0.216 | 64736.1 |
1118 | 2024-02-03 03:06:42 | aver | 1 | 13983 | 17 | 0.220 | 63559.1 |
1117 | 2024-02-01 02:37:12 | aver | 2 | 29872 | 330 | 0.750 | 39829.3 |
1116 | 2024-01-27 18:16:59 | aver | 1 | 13983 | 17 | 0.220 | 63559.1 |
1115 | 2024-01-26 08:56:53 | aver | 1 | 13983 | 17 | 0.263 | 53167.3 |
1114 | 2024-01-03 17:47:11 | aver | 1 | 13983 | 17 | 0.250 | 55932.0 |
1113 | 2023-12-22 18:09:51 | aver | 1 | 13983 | 17 | 0.220 | 63559.1 |
1112 | 2023-12-16 21:19:09 | aver | 1 | 13983 | 17 | 0.266 | 52567.7 |
1111 | 2023-12-13 06:58:51 | aver | 2 | 29872 | 330 | 0.783 | 38150.7 |
1110 | 2023-12-12 11:21:40 | aver | 2 | 29872 | 330 | 0.953 | 31345.2 |
1109 | 2023-12-06 11:04:36 | aver | 2 | 29872 | 330 | 1.733 | 17237.2 |
1108 | 2023-11-11 20:41:15 | aver | 1 | 13983 | 17 | 0.250 | 55932.0 |
1107 | 2023-11-11 05:19:26 | aver | 2 | 29872 | 330 | 0.813 | 36742.9 |
1106 | 2023-11-11 04:41:42 | aver | 1 | 13983 | 17 | 0.203 | 68881.8 |
1105 | 2023-11-02 01:21:09 | aver | 2 | 29872 | 330 | 0.796 | 37527.6 |
1104 | 2023-11-01 09:54:29 | aver | 2 | 29872 | 330 | 0.843 | 35435.3 |
1103 | 2023-10-26 01:14:35 | aver | 1 | 13983 | 17 | 0.280 | 49939.3 |
1102 | 2023-10-21 09:09:16 | aver | 1 | 13983 | 17 | 0.220 | 63559.1 |
1101 | 2023-10-17 15:24:12 | aver | 1 | 13983 | 17 | 0.220 | 63559.1 |
1100 | 2023-10-14 02:32:19 | aver | 1 | 13983 | 17 | 0.216 | 64736.1 |
1099 | 2023-10-13 23:45:32 | aver | 1 | 13983 | 17 | 0.250 | 55932.0 |
1098 | 2023-10-11 04:41:33 | aver | 1 | 13983 | 17 | 0.250 | 55932.0 |
1097 | 2023-10-06 08:31:39 | aver | 2 | 29872 | 330 | 0.780 | 38297.4 |
1096 | 2023-10-03 11:07:55 | aver | 1 | 13983 | 17 | 0.233 | 60012.9 |
1095 | 2023-09-23 19:06:13 | aver | 1 | 13983 | 17 | 0.216 | 64736.1 |
1094 | 2023-09-18 09:06:12 | aver | 1 | 13983 | 17 | 0.220 | 63559.1 |
1093 | 2023-09-15 09:37:01 | aver | 1 | 13983 | 17 | 0.220 | 63559.1 |
1092 | 2023-09-12 18:20:52 | aver | 1 | 13983 | 17 | 0.250 | 55932.0 |
1091 | 2023-09-10 15:24:22 | aver | 2 | 29872 | 330 | 0.940 | 31778.7 |
1090 | 2023-09-09 19:33:09 | aver | 2 | 29872 | 330 | 0.763 | 39150.7 |
1089 | 2023-08-20 17:20:52 | aver | 2 | 29872 | 330 | 0.796 | 37527.6 |
1088 | 2023-08-18 23:05:47 | aver | 2 | 29872 | 330 | 0.780 | 38297.4 |
1087 | 2023-08-17 12:35:10 | aver | 2 | 29872 | 330 | 0.826 | 36164.6 |
1086 | 2023-08-09 04:46:26 | aver | 2 | 29872 | 330 | 1.533 | 19486.0 |
1085 | 2023-08-07 00:19:05 | aver | 1 | 13983 | 17 | 0.216 | 64736.1 |
1084 | 2023-08-05 06:40:27 | aver | 2 | 29872 | 330 | 0.860 | 34734.9 |
1083 | 2023-08-03 04:48:46 | aver | 2 | 29872 | 330 | 0.826 | 36164.6 |
1082 | 2023-07-31 09:07:42 | aver | 1 | 13983 | 17 | 0.250 | 55932.0 |
1081 | 2023-07-17 21:32:22 | aver | 2 | 29872 | 330 | 0.860 | 34734.9 |
1080 | 2023-07-16 23:09:03 | aver | 2 | 29872 | 330 | 0.873 | 34217.6 |
1079 | 2023-07-15 02:15:43 | aver | 2 | 29872 | 330 | 0.873 | 34217.6 |
1078 | 2023-07-14 12:00:04 | aver | 2 | 29872 | 330 | 0.783 | 38150.7 |
1077 | 2023-07-11 09:00:33 | aver | 2 | 29872 | 330 | 0.783 | 38150.7 |
1076 | 2023-06-14 08:04:07 | aver | 1 | 13983 | 17 | 0.216 | 64736.1 |
1075 | 2023-05-29 18:52:42 | aver | 2 | 29872 | 330 | 0.763 | 39150.7 |
1074 | 2023-05-05 18:15:19 | aver | 1 | 13983 | 17 | 0.216 | 64736.1 |
1073 | 2023-03-31 14:34:59 | aver | 2 | 29872 | 330 | 0.750 | 39829.3 |
1072 | 2023-03-26 21:35:52 | aver | 1 | 13983 | 17 | 0.233 | 60012.9 |
1071 | 2023-03-11 21:54:32 | aver | 1 | 13983 | 17 | 0.233 | 60012.9 |
1070 | 2023-03-07 05:13:23 | aver | 2 | 29872 | 330 | 0.766 | 38997.4 |
1069 | 2023-03-03 00:38:26 | aver | 1 | 13983 | 17 | 0.236 | 59250.0 |
1068 | 2022-12-26 21:42:46 | aver | 1 | 13983 | 17 | 0.220 | 63559.1 |
1067 | 2022-12-13 13:42:06 | aver | 2 | 29872 | 330 | 1.766 | 16915.1 |
1066 | 2022-12-05 13:20:56 | aver | 2 | 29872 | 330 | 0.860 | 34734.9 |
1065 | 2022-12-03 15:47:05 | aver | 1 | 13983 | 17 | 0.250 | 55932.0 |
1064 | 2022-10-30 03:37:08 | aver | 2 | 29872 | 330 | 1.686 | 17717.7 |
1063 | 2022-09-26 12:26:39 | aver | 2 | 29872 | 330 | 0.936 | 31914.5 |
1062 | 2022-09-19 13:45:54 | aver | 1 | 13983 | 17 | 0.220 | 63559.1 |
1061 | 2022-09-18 10:31:21 | aver | 1 | 13983 | 17 | 0.220 | 63559.1 |
1060 | 2022-09-16 06:05:24 | aver | 1 | 13983 | 17 | 0.233 | 60012.9 |
1059 | 2022-09-11 19:58:21 | aver | 1 | 13983 | 17 | 0.236 | 59250.0 |
1058 | 2022-09-10 09:13:54 | aver | 1 | 13983 | 17 | 0.220 | 63559.1 |
1057 | 2022-09-09 10:30:51 | aver | 1 | 13983 | 17 | 0.233 | 60012.9 |
1056 | 2022-09-03 12:42:33 | aver | 1 | 13983 | 17 | 0.220 | 63559.1 |
1055 | 2022-09-03 10:36:47 | aver | 1 | 13983 | 17 | 0.220 | 63559.1 |
1054 | 2022-09-01 10:28:39 | aver | 1 | 13983 | 17 | 0.233 | 60012.9 |
1053 | 2022-08-27 22:11:14 | aver | 2 | 29872 | 330 | 0.780 | 38297.4 |
1052 | 2022-08-25 22:24:26 | aver | 1 | 13983 | 17 | 0.250 | 55932.0 |
1051 | 2022-08-25 08:33:49 | aver | 2 | 29872 | 330 | 0.890 | 33564.0 |
1050 | 2022-08-23 15:32:02 | aver | 1 | 13983 | 17 | 0.203 | 68881.8 |
1049 | 2022-08-22 23:03:32 | aver | 1 | 13983 | 17 | 0.216 | 64736.1 |
1048 | 2022-08-19 20:16:32 | aver | 1 | 13983 | 17 | 0.216 | 64736.1 |
1047 | 2022-08-18 07:44:35 | aver | 1 | 13983 | 17 | 0.220 | 63559.1 |
1046 | 2022-08-17 12:05:15 | aver | 1 | 13983 | 17 | 0.236 | 59250.0 |
1045 | 2022-08-14 22:46:08 | aver | 1 | 13983 | 17 | 0.236 | 59250.0 |
1044 | 2022-08-10 12:52:32 | aver | 1 | 13983 | 17 | 0.250 | 55932.0 |
1043 | 2022-08-09 05:46:24 | aver | 1 | 13983 | 17 | 0.250 | 55932.0 |
1042 | 2022-08-06 15:52:30 | aver | 1 | 13983 | 17 | 0.220 | 63559.1 |
1041 | 2022-08-06 11:18:29 | aver | 1 | 13983 | 17 | 0.250 | 55932.0 |
1040 | 2022-08-06 04:50:13 | aver | 1 | 13983 | 17 | 0.440 | 31779.5 |
1039 | 2022-07-31 23:35:18 | aver | 2 | 29872 | 330 | 0.783 | 38150.7 |