History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"lure"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1225 | 2025-10-25 18:30:04 | lure | 1 | 13983 | 22 | 0.266 | 52567.7 |
| 1224 | 2025-10-24 13:46:20 | lure | 1 | 13983 | 22 | 0.233 | 60012.9 |
| 1223 | 2025-10-23 14:28:04 | lure | 1 | 13983 | 22 | 0.796 | 17566.6 |
| 1222 | 2025-10-23 06:51:35 | lure | 1 | 13983 | 22 | 0.966 | 14475.2 |
| 1221 | 2025-10-22 13:53:46 | lure | 1 | 13983 | 22 | 1.766 | 7917.9 |
| 1220 | 2025-10-21 02:56:51 | lure | 2 | 29872 | 360 | 4.030 | 7412.4 |
| 1219 | 2025-10-20 04:45:48 | lure | 1 | 13983 | 22 | 0.233 | 60012.9 |
| 1218 | 2025-10-20 04:45:08 | lure | 1 | 13983 | 22 | 0.266 | 52567.7 |
| 1217 | 2025-10-09 02:34:26 | lure | 1 | 13983 | 22 | 0.263 | 53167.3 |
| 1216 | 2025-09-27 21:28:08 | lure | 1 | 13983 | 22 | 0.250 | 55932.0 |
| 1215 | 2025-09-27 11:35:08 | lure | 1 | 13983 | 22 | 0.233 | 60012.9 |
| 1214 | 2025-09-27 01:39:02 | lure | 1 | 13983 | 22 | 0.233 | 60012.9 |
| 1213 | 2025-09-26 20:44:05 | lure | 1 | 13983 | 22 | 0.470 | 29751.1 |
| 1212 | 2025-09-23 03:15:25 | lure | 2 | 29872 | 360 | 0.890 | 33564.0 |
| 1211 | 2025-09-22 17:57:36 | lure | 1 | 13983 | 22 | 0.250 | 55932.0 |
| 1210 | 2025-09-22 08:54:25 | lure | 1 | 13983 | 22 | 0.220 | 63559.1 |
| 1209 | 2025-09-21 18:07:52 | lure | 1 | 13983 | 22 | 0.296 | 47239.9 |
| 1208 | 2025-09-21 12:05:43 | lure | 2 | 29872 | 360 | 0.783 | 38150.7 |
| 1207 | 2025-09-20 00:34:35 | lure | 2 | 29872 | 360 | 0.843 | 35435.3 |
| 1206 | 2025-09-17 23:29:20 | lure | 1 | 13983 | 22 | 0.250 | 55932.0 |
| 1205 | 2025-09-17 20:05:58 | lure | 1 | 13983 | 22 | 0.250 | 55932.0 |
| 1204 | 2025-09-14 12:15:29 | lure | 1 | 13983 | 22 | 0.483 | 28950.3 |
| 1203 | 2025-09-11 04:01:28 | lure | 1 | 13983 | 22 | 0.250 | 55932.0 |
| 1202 | 2025-09-07 21:17:56 | lure | 1 | 13983 | 22 | 0.250 | 55932.0 |
| 1201 | 2025-09-06 23:29:06 | lure | 1 | 13983 | 22 | 0.216 | 64736.1 |
| 1200 | 2025-09-06 17:41:12 | lure | 1 | 13983 | 22 | 0.250 | 55932.0 |
| 1199 | 2025-09-04 14:16:22 | lure | 1 | 13983 | 22 | 0.500 | 27966.0 |
| 1198 | 2025-09-01 06:51:24 | lure | 1 | 13983 | 22 | 0.236 | 59250.0 |
| 1197 | 2025-09-01 04:41:12 | lure | 1 | 13983 | 22 | 0.236 | 59250.0 |
| 1196 | 2025-08-30 22:10:45 | lure | 1 | 13983 | 22 | 0.250 | 55932.0 |
| 1195 | 2025-08-28 23:15:30 | lure | 1 | 13983 | 22 | 0.250 | 55932.0 |
| 1194 | 2025-08-27 11:02:01 | lure | 1 | 13983 | 22 | 0.236 | 59250.0 |
| 1193 | 2025-08-27 09:50:54 | lure | 1 | 13983 | 22 | 0.250 | 55932.0 |
| 1192 | 2025-08-26 21:18:07 | lure | 1 | 13983 | 22 | 0.250 | 55932.0 |
| 1191 | 2025-08-22 08:01:07 | lure | 1 | 13983 | 22 | 0.233 | 60012.9 |
| 1190 | 2025-08-20 21:22:31 | lure | 1 | 13983 | 22 | 0.733 | 19076.4 |
| 1189 | 2025-08-19 19:16:34 | lure | 1 | 13983 | 22 | 0.283 | 49409.9 |
| 1188 | 2025-08-19 07:18:47 | lure | 1 | 13983 | 22 | 1.140 | 12265.8 |
| 1187 | 2025-08-11 08:24:37 | lure | 1 | 13983 | 22 | 0.280 | 49939.3 |
| 1186 | 2025-08-09 08:15:46 | lure | 1 | 13983 | 22 | 1.186 | 11790.1 |
| 1185 | 2025-08-09 04:03:54 | lure | 1 | 13983 | 22 | 0.736 | 18998.6 |
| 1184 | 2025-08-08 20:46:32 | lure | 1 | 13983 | 22 | 0.216 | 64736.1 |
| 1183 | 2025-08-01 03:01:54 | lure | 1 | 13983 | 22 | 1.343 | 10411.8 |
| 1182 | 2025-07-27 11:38:52 | lure | 1 | 13983 | 22 | 1.156 | 12096.0 |
| 1181 | 2025-07-26 23:53:30 | lure | 1 | 13983 | 22 | 1.313 | 10649.7 |
| 1180 | 2025-07-26 16:29:16 | lure | 1 | 13983 | 22 | 0.263 | 53167.3 |
| 1179 | 2025-07-25 09:38:39 | lure | 1 | 13983 | 22 | 0.640 | 21848.4 |
| 1178 | 2025-07-24 02:51:42 | lure | 1 | 13983 | 22 | 0.673 | 20777.1 |
| 1177 | 2025-07-23 16:41:45 | lure | 1 | 13983 | 22 | 0.970 | 14415.5 |
| 1176 | 2025-07-23 04:19:49 | lure | 1 | 13983 | 22 | 1.076 | 12995.4 |
| 1175 | 2025-07-22 09:30:32 | lure | 1 | 13983 | 22 | 0.250 | 55932.0 |
| 1174 | 2025-07-22 01:00:37 | lure | 1 | 13983 | 22 | 1.186 | 11790.1 |
| 1173 | 2025-07-19 19:01:11 | lure | 1 | 13983 | 22 | 0.250 | 55932.0 |
| 1172 | 2025-07-14 08:49:56 | lure | 1 | 13983 | 22 | 1.236 | 11313.1 |
| 1171 | 2025-07-13 03:31:08 | lure | 1 | 13983 | 22 | 0.250 | 55932.0 |
| 1170 | 2025-07-10 19:59:05 | lure | 2 | 29872 | 360 | 5.780 | 5168.2 |
| 1169 | 2025-07-09 19:28:26 | lure | 1 | 13983 | 22 | 0.500 | 27966.0 |
| 1168 | 2025-07-09 07:35:42 | lure | 1 | 13983 | 22 | 0.716 | 19529.3 |
| 1167 | 2025-07-06 11:13:47 | lure | 1 | 13983 | 22 | 0.216 | 64736.1 |
| 1166 | 2025-07-02 03:50:05 | lure | 1 | 13983 | 22 | 1.093 | 12793.2 |
| 1165 | 2025-06-30 02:26:50 | lure | 1 | 13983 | 22 | 0.906 | 15433.8 |
| 1164 | 2025-06-29 18:39:21 | lure | 1 | 13983 | 22 | 0.936 | 14939.1 |
| 1163 | 2025-06-28 11:52:02 | lure | 1 | 13983 | 22 | 0.546 | 25609.9 |
| 1162 | 2025-06-27 05:23:58 | lure | 1 | 13983 | 22 | 0.296 | 47239.9 |
| 1161 | 2025-06-25 23:01:31 | lure | 1 | 13983 | 22 | 0.673 | 20777.1 |
| 1160 | 2025-06-20 15:52:46 | lure | 1 | 13983 | 22 | 1.123 | 12451.5 |
| 1159 | 2025-06-19 22:09:06 | lure | 1 | 13983 | 22 | 1.436 | 9737.5 |
| 1158 | 2025-06-17 02:31:03 | lure | 1 | 13983 | 22 | 1.576 | 8872.5 |
| 1157 | 2025-06-16 22:42:31 | lure | 1 | 13983 | 22 | 1.156 | 12096.0 |
| 1156 | 2025-06-13 18:14:42 | lure | 1 | 13983 | 22 | 0.250 | 55932.0 |
| 1155 | 2025-06-13 11:02:07 | lure | 1 | 13983 | 22 | 0.656 | 21315.5 |
| 1154 | 2025-06-12 22:22:57 | lure | 1 | 13983 | 22 | 0.563 | 24836.6 |
| 1153 | 2025-06-10 23:32:29 | lure | 1 | 13983 | 22 | 1.030 | 13575.7 |
| 1152 | 2025-06-08 06:29:21 | lure | 1 | 13983 | 22 | 1.360 | 10281.6 |
| 1151 | 2025-06-03 16:04:07 | lure | 2 | 29872 | 360 | 2.220 | 13455.9 |
| 1150 | 2025-06-02 13:34:22 | lure | 2 | 29872 | 360 | 2.843 | 10507.2 |
| 1149 | 2025-06-02 03:34:26 | lure | 1 | 13983 | 22 | 0.280 | 49939.3 |
| 1148 | 2025-06-01 12:18:35 | lure | 2 | 29872 | 360 | 2.390 | 12498.7 |
| 1147 | 2025-06-01 11:48:55 | lure | 1 | 13983 | 22 | 2.483 | 5631.5 |
| 1146 | 2025-06-01 08:25:17 | lure | 2 | 29872 | 360 | 3.313 | 9016.6 |
| 1145 | 2025-05-31 01:40:23 | lure | 1 | 13983 | 22 | 0.783 | 17858.2 |
| 1144 | 2025-05-30 13:26:58 | lure | 2 | 29872 | 360 | 5.376 | 5556.5 |
| 1143 | 2025-05-29 08:31:29 | lure | 1 | 13983 | 22 | 0.686 | 20383.4 |
| 1142 | 2025-05-28 20:07:28 | lure | 1 | 13983 | 22 | 1.750 | 7990.3 |
| 1141 | 2025-05-28 16:29:03 | lure | 2 | 29872 | 360 | 1.576 | 18954.3 |
| 1140 | 2025-05-28 11:31:19 | lure | 1 | 13983 | 22 | 0.216 | 64736.1 |
| 1139 | 2025-05-25 23:59:22 | lure | 1 | 13983 | 22 | 1.330 | 10513.5 |
| 1138 | 2025-05-25 22:36:15 | lure | 1 | 13983 | 22 | 0.783 | 17858.2 |
| 1137 | 2025-05-23 02:45:36 | lure | 1 | 13983 | 22 | 0.283 | 49409.9 |
| 1136 | 2025-05-21 16:38:32 | lure | 1 | 13983 | 22 | 0.250 | 55932.0 |
| 1135 | 2025-05-21 10:40:29 | lure | 1 | 13983 | 22 | 0.266 | 52567.7 |
| 1134 | 2025-05-15 16:44:58 | lure | 1 | 13983 | 22 | 0.560 | 24969.6 |
| 1133 | 2025-05-14 09:24:08 | lure | 1 | 13983 | 22 | 1.360 | 10281.6 |
| 1132 | 2025-05-13 20:15:06 | lure | 1 | 13983 | 22 | 0.483 | 28950.3 |
| 1131 | 2025-05-11 12:15:53 | lure | 1 | 13983 | 22 | 0.263 | 53167.3 |
| 1130 | 2025-05-08 07:12:51 | lure | 1 | 13983 | 22 | 1.876 | 7453.6 |
| 1129 | 2025-05-08 04:23:07 | lure | 1 | 13983 | 22 | 0.796 | 17566.6 |
| 1128 | 2025-05-08 04:21:23 | lure | 1 | 13983 | 22 | 1.360 | 10281.6 |
| 1127 | 2025-05-08 04:12:34 | lure | 1 | 13983 | 22 | 0.576 | 24276.0 |
| 1126 | 2025-05-04 23:40:36 | lure | 1 | 13983 | 22 | 0.236 | 59250.0 |