History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"mean"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1170 | 2024-04-20 18:48:24 | mean | 2 | 29872 | 289 | 3.906 | 7647.7 |
1169 | 2024-04-20 18:43:04 | mean | 1 | 13983 | 17 | 0.970 | 14415.5 |
1168 | 2024-04-04 19:32:24 | mean | 1 | 13983 | 17 | 0.796 | 17566.6 |
1167 | 2024-04-02 18:51:31 | mean | 2 | 29872 | 289 | 2.110 | 14157.3 |
1166 | 2024-04-02 18:10:01 | mean | 1 | 13983 | 17 | 0.313 | 44674.1 |
1165 | 2024-03-28 19:14:42 | mean | 2 | 29872 | 289 | 2.123 | 14070.7 |
1164 | 2024-03-28 17:49:35 | mean | 1 | 13983 | 17 | 0.513 | 27257.3 |
1163 | 2024-03-17 19:53:58 | mean | 2 | 29872 | 289 | 3.093 | 9657.9 |
1162 | 2024-03-17 19:38:38 | mean | 1 | 13983 | 17 | 0.236 | 59250.0 |
1161 | 2024-03-11 06:21:18 | mean | 1 | 13983 | 17 | 0.296 | 47239.9 |
1160 | 2024-03-05 17:34:21 | mean | 1 | 13983 | 17 | 0.546 | 25609.9 |
1159 | 2024-03-02 16:52:36 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
1158 | 2024-03-01 10:43:48 | mean | 1 | 13983 | 17 | 1.360 | 10281.6 |
1157 | 2024-02-26 01:59:41 | mean | 1 | 13983 | 17 | 0.813 | 17199.3 |
1156 | 2024-02-26 01:25:04 | mean | 1 | 13983 | 17 | 0.283 | 49409.9 |
1155 | 2024-02-14 18:17:50 | mean | 1 | 13983 | 17 | 0.533 | 26234.5 |
1154 | 2024-02-10 08:52:06 | mean | 1 | 13983 | 17 | 0.576 | 24276.0 |
1153 | 2024-02-04 21:39:54 | mean | 1 | 13983 | 17 | 0.236 | 59250.0 |
1152 | 2024-01-26 21:07:09 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 |
1151 | 2024-01-26 21:06:29 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
1150 | 2024-01-20 17:46:28 | mean | 1 | 13983 | 17 | 0.266 | 52567.7 |
1149 | 2024-01-13 18:46:30 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
1148 | 2024-01-09 21:25:50 | mean | 2 | 29872 | 289 | 0.830 | 35990.4 |
1147 | 2024-01-04 14:20:26 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
1146 | 2023-12-18 09:27:07 | mean | 2 | 29872 | 289 | 0.810 | 36879.0 |
1145 | 2023-12-14 01:05:25 | mean | 2 | 29872 | 289 | 0.810 | 36879.0 |
1144 | 2023-12-08 10:08:51 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
1143 | 2023-12-08 10:08:50 | mean | 1 | 13983 | 17 | 0.220 | 63559.1 |
1142 | 2023-12-07 19:26:20 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
1141 | 2023-12-07 19:26:19 | mean | 1 | 13983 | 17 | 0.263 | 53167.3 |
1140 | 2023-12-03 06:15:18 | mean | 1 | 13983 | 17 | 0.216 | 64736.1 |
1139 | 2023-12-03 06:15:17 | mean | 1 | 13983 | 17 | 0.203 | 68881.8 |
1138 | 2023-11-16 02:47:58 | mean | 1 | 13983 | 17 | 0.220 | 63559.1 |
1137 | 2023-11-12 04:11:45 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
1136 | 2023-10-29 11:08:49 | mean | 2 | 29872 | 289 | 1.096 | 27255.5 |
1135 | 2023-10-28 19:50:21 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 |
1134 | 2023-10-27 06:19:33 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 |
1133 | 2023-10-20 17:31:22 | mean | 1 | 13983 | 17 | 0.266 | 52567.7 |
1132 | 2023-10-19 21:27:13 | mean | 1 | 13983 | 17 | 0.220 | 63559.1 |
1131 | 2023-10-17 20:57:35 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 |
1130 | 2023-10-12 00:03:34 | mean | 1 | 13983 | 17 | 0.220 | 63559.1 |
1129 | 2023-10-03 17:53:18 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 |
1128 | 2023-09-26 01:25:32 | mean | 1 | 13983 | 17 | 0.266 | 52567.7 |
1127 | 2023-09-25 13:04:27 | mean | 1 | 13983 | 17 | 0.216 | 64736.1 |
1126 | 2023-09-23 22:37:27 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 |
1125 | 2023-09-09 08:04:59 | mean | 1 | 13983 | 17 | 0.220 | 63559.1 |
1124 | 2023-08-21 22:03:31 | mean | 1 | 13983 | 17 | 0.266 | 52567.7 |
1123 | 2023-08-21 18:04:59 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
1122 | 2023-08-12 04:08:27 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
1121 | 2023-08-11 20:51:11 | mean | 1 | 13983 | 17 | 0.220 | 63559.1 |
1120 | 2023-07-19 14:52:53 | mean | 1 | 13983 | 17 | 0.216 | 64736.1 |
1119 | 2023-07-15 04:14:39 | mean | 1 | 13983 | 17 | 0.220 | 63559.1 |
1118 | 2023-06-16 17:45:55 | mean | 1 | 13983 | 17 | 0.203 | 68881.8 |
1117 | 2023-05-23 10:25:56 | mean | 1 | 13983 | 17 | 0.220 | 63559.1 |
1116 | 2023-05-21 17:17:07 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
1115 | 2023-04-28 10:58:34 | mean | 1 | 13983 | 17 | 0.236 | 59250.0 |
1114 | 2023-04-07 12:41:33 | mean | 1 | 13983 | 17 | 0.216 | 64736.1 |
1113 | 2023-04-03 19:14:31 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 |
1112 | 2023-04-01 07:37:38 | mean | 1 | 13983 | 17 | 0.216 | 64736.1 |
1111 | 2023-03-31 12:46:01 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
1110 | 2023-03-18 09:29:00 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 |
1109 | 2023-01-14 07:06:43 | mean | 1 | 13983 | 17 | 0.220 | 63559.1 |
1108 | 2023-01-12 17:23:16 | mean | 1 | 13983 | 17 | 0.203 | 68881.8 |
1107 | 2023-01-06 02:13:08 | mean | 1 | 13983 | 17 | 0.203 | 68881.8 |
1106 | 2022-12-29 14:13:48 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 |
1105 | 2022-11-30 06:08:47 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
1104 | 2022-11-28 14:18:07 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
1103 | 2022-10-13 23:14:19 | mean | 1 | 13983 | 17 | 0.200 | 69915.0 |
1102 | 2022-10-12 06:51:33 | mean | 1 | 13983 | 17 | 0.220 | 63559.1 |
1101 | 2022-09-29 16:33:33 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 |
1100 | 2022-09-22 08:09:08 | mean | 1 | 13983 | 17 | 0.203 | 68881.8 |
1099 | 2022-09-19 22:27:30 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 |
1098 | 2022-09-12 09:17:21 | mean | 1 | 13983 | 17 | 0.216 | 64736.1 |
1097 | 2022-08-31 20:29:18 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 |
1096 | 2022-08-30 05:52:57 | mean | 1 | 13983 | 17 | 0.216 | 64736.1 |
1095 | 2022-08-26 02:47:59 | mean | 1 | 13983 | 17 | 0.203 | 68881.8 |
1094 | 2022-08-14 20:11:12 | mean | 1 | 13983 | 17 | 0.203 | 68881.8 |
1093 | 2022-08-07 00:16:18 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 |
1092 | 2022-07-30 01:43:45 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
1091 | 2022-07-29 04:23:09 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 |
1090 | 2022-07-09 15:30:27 | mean | 1 | 13983 | 17 | 0.220 | 63559.1 |
1089 | 2022-07-03 09:51:22 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 |
1088 | 2022-06-25 21:36:29 | mean | 1 | 13983 | 17 | 0.220 | 63559.1 |
1087 | 2022-06-16 09:50:01 | mean | 1 | 13983 | 17 | 0.203 | 68881.8 |
1086 | 2022-06-12 13:35:04 | mean | 1 | 13983 | 17 | 0.220 | 63559.1 |
1085 | 2022-06-08 22:38:22 | mean | 1 | 13983 | 17 | 0.220 | 63559.1 |
1084 | 2022-06-08 19:32:29 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
1083 | 2022-06-01 21:26:58 | mean | 1 | 13983 | 17 | 0.220 | 63559.1 |
1082 | 2022-05-23 18:11:24 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 |
1081 | 2022-05-22 04:26:11 | mean | 1 | 13983 | 17 | 0.220 | 63559.1 |
1080 | 2022-05-14 18:45:34 | mean | 1 | 13983 | 17 | 0.220 | 63559.1 |
1079 | 2022-05-12 14:01:02 | mean | 1 | 13983 | 17 | 0.296 | 47239.9 |
1078 | 2022-05-02 08:24:37 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 |
1077 | 2022-05-01 15:27:20 | mean | 1 | 13983 | 17 | 0.233 | 60012.9 |
1076 | 2022-04-30 16:48:00 | mean | 1 | 13983 | 17 | 0.216 | 64736.1 |
1075 | 2022-04-30 04:15:29 | mean | 1 | 13983 | 17 | 0.220 | 63559.1 |
1074 | 2022-04-29 14:34:40 | mean | 1 | 13983 | 17 | 0.250 | 55932.0 |
1073 | 2022-04-29 02:47:53 | mean | 1 | 13983 | 17 | 0.200 | 69915.0 |
1072 | 2022-04-28 17:52:27 | mean | 1 | 13983 | 17 | 0.300 | 46610.0 |
1071 | 2022-04-28 03:26:32 | mean | 1 | 13983 | 17 | 0.236 | 59250.0 |