History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"mils"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1199 | 2025-10-22 05:36:14 | mils | 2 | 29872 | 498 | 2.310 | 12931.6 |
| 1198 | 2025-10-22 05:36:01 | mils | 2 | 29872 | 498 | 2.796 | 10683.8 |
| 1197 | 2025-10-22 05:35:35 | mils | 2 | 29872 | 498 | 5.343 | 5590.9 |
| 1196 | 2025-10-22 05:35:12 | mils | 2 | 29872 | 498 | 2.030 | 14715.3 |
| 1195 | 2025-10-21 20:45:38 | mils | 2 | 29872 | 498 | 2.580 | 11578.3 |
| 1194 | 2025-10-20 13:03:12 | mils | 1 | 13983 | 31 | 0.813 | 17199.3 |
| 1193 | 2025-10-19 19:47:49 | mils | 1 | 13983 | 31 | 1.483 | 9428.9 |
| 1192 | 2025-10-16 07:34:39 | mils | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1191 | 2025-10-15 18:19:53 | mils | 1 | 13983 | 31 | 0.216 | 64736.1 |
| 1190 | 2025-10-09 16:49:25 | mils | 2 | 29872 | 498 | 0.780 | 38297.4 |
| 1189 | 2025-10-09 02:54:04 | mils | 2 | 29872 | 498 | 0.796 | 37527.6 |
| 1188 | 2025-10-06 10:36:08 | mils | 2 | 29872 | 498 | 0.970 | 30795.9 |
| 1187 | 2025-10-04 09:15:35 | mils | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1186 | 2025-10-04 03:28:11 | mils | 1 | 13983 | 31 | 0.500 | 27966.0 |
| 1185 | 2025-09-28 19:05:51 | mils | 1 | 13983 | 31 | 0.266 | 52567.7 |
| 1184 | 2025-09-23 08:58:39 | mils | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1183 | 2025-09-22 07:15:25 | mils | 1 | 13983 | 31 | 0.220 | 63559.1 |
| 1182 | 2025-09-20 02:11:05 | mils | 2 | 29872 | 498 | 0.766 | 38997.4 |
| 1181 | 2025-09-19 12:00:51 | mils | 1 | 13983 | 31 | 0.216 | 64736.1 |
| 1180 | 2025-09-18 06:55:46 | mils | 1 | 13983 | 31 | 0.483 | 28950.3 |
| 1179 | 2025-09-17 08:19:24 | mils | 1 | 13983 | 31 | 0.263 | 53167.3 |
| 1178 | 2025-09-16 04:11:34 | mils | 1 | 13983 | 31 | 0.233 | 60012.9 |
| 1177 | 2025-09-13 11:51:35 | mils | 2 | 29872 | 498 | 0.783 | 38150.7 |
| 1176 | 2025-09-12 20:30:56 | mils | 1 | 13983 | 31 | 0.266 | 52567.7 |
| 1175 | 2025-09-12 06:19:44 | mils | 1 | 13983 | 31 | 0.220 | 63559.1 |
| 1174 | 2025-09-11 21:30:06 | mils | 1 | 13983 | 31 | 0.500 | 27966.0 |
| 1173 | 2025-09-09 12:55:58 | mils | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1172 | 2025-09-06 05:49:42 | mils | 1 | 13983 | 31 | 0.233 | 60012.9 |
| 1171 | 2025-09-04 16:12:52 | mils | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1170 | 2025-09-04 04:56:48 | mils | 1 | 13983 | 31 | 0.216 | 64736.1 |
| 1169 | 2025-09-03 01:30:43 | mils | 1 | 13983 | 31 | 0.236 | 59250.0 |
| 1168 | 2025-09-02 22:53:55 | mils | 1 | 13983 | 31 | 0.500 | 27966.0 |
| 1167 | 2025-09-01 04:48:52 | mils | 1 | 13983 | 31 | 0.233 | 60012.9 |
| 1166 | 2025-08-30 15:22:13 | mils | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1165 | 2025-08-28 12:46:53 | mils | 1 | 13983 | 31 | 0.266 | 52567.7 |
| 1164 | 2025-08-27 08:05:31 | mils | 1 | 13983 | 31 | 0.500 | 27966.0 |
| 1163 | 2025-08-24 00:38:42 | mils | 1 | 13983 | 31 | 0.216 | 64736.1 |
| 1162 | 2025-08-20 15:40:56 | mils | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1161 | 2025-08-17 21:25:50 | mils | 1 | 13983 | 31 | 0.733 | 19076.4 |
| 1160 | 2025-08-14 15:34:09 | mils | 1 | 13983 | 31 | 0.390 | 35853.8 |
| 1159 | 2025-08-13 22:29:43 | mils | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1158 | 2025-08-11 02:31:07 | mils | 1 | 13983 | 31 | 0.953 | 14672.6 |
| 1157 | 2025-08-09 14:41:58 | mils | 2 | 29872 | 498 | 4.546 | 6571.1 |
| 1156 | 2025-08-09 06:26:25 | mils | 1 | 13983 | 31 | 0.393 | 35580.2 |
| 1155 | 2025-08-06 19:31:59 | mils | 2 | 29872 | 498 | 1.843 | 16208.4 |
| 1154 | 2025-07-31 22:51:56 | mils | 1 | 13983 | 31 | 1.110 | 12597.3 |
| 1153 | 2025-07-31 17:07:59 | mils | 1 | 13983 | 31 | 0.266 | 52567.7 |
| 1152 | 2025-07-31 12:04:11 | mils | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1151 | 2025-07-30 19:59:46 | mils | 1 | 13983 | 31 | 0.263 | 53167.3 |
| 1150 | 2025-07-27 21:54:48 | mils | 1 | 13983 | 31 | 0.266 | 52567.7 |
| 1149 | 2025-07-27 03:39:00 | mils | 1 | 13983 | 31 | 0.673 | 20777.1 |
| 1148 | 2025-07-22 22:43:48 | mils | 1 | 13983 | 31 | 0.673 | 20777.1 |
| 1147 | 2025-07-21 11:23:19 | mils | 1 | 13983 | 31 | 0.220 | 63559.1 |
| 1146 | 2025-07-21 09:01:42 | mils | 1 | 13983 | 31 | 0.393 | 35580.2 |
| 1145 | 2025-07-20 23:43:59 | mils | 1 | 13983 | 31 | 0.233 | 60012.9 |
| 1144 | 2025-07-17 08:57:19 | mils | 1 | 13983 | 31 | 0.283 | 49409.9 |
| 1143 | 2025-07-15 21:34:30 | mils | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1142 | 2025-07-10 22:00:28 | mils | 1 | 13983 | 31 | 0.280 | 49939.3 |
| 1141 | 2025-07-10 08:53:30 | mils | 1 | 13983 | 31 | 1.030 | 13575.7 |
| 1140 | 2025-07-10 04:18:43 | mils | 1 | 13983 | 31 | 1.703 | 8210.8 |
| 1139 | 2025-07-08 05:46:59 | mils | 1 | 13983 | 31 | 0.686 | 20383.4 |
| 1138 | 2025-07-04 19:08:16 | mils | 1 | 13983 | 31 | 0.233 | 60012.9 |
| 1137 | 2025-07-04 17:47:56 | mils | 1 | 13983 | 31 | 0.263 | 53167.3 |
| 1136 | 2025-07-04 14:34:38 | mils | 2 | 29872 | 498 | 4.060 | 7357.6 |
| 1135 | 2025-07-02 21:06:18 | mils | 2 | 29872 | 498 | 4.373 | 6831.0 |
| 1134 | 2025-07-01 10:57:02 | mils | 1 | 13983 | 31 | 0.736 | 18998.6 |
| 1133 | 2025-06-30 22:39:21 | mils | 1 | 13983 | 31 | 0.266 | 52567.7 |
| 1132 | 2025-06-29 20:39:16 | mils | 1 | 13983 | 31 | 0.906 | 15433.8 |
| 1131 | 2025-06-29 20:23:44 | mils | 1 | 13983 | 31 | 1.280 | 10924.2 |
| 1130 | 2025-06-29 12:33:50 | mils | 1 | 13983 | 31 | 0.673 | 20777.1 |
| 1129 | 2025-06-27 20:01:56 | mils | 1 | 13983 | 31 | 0.563 | 24836.6 |
| 1128 | 2025-06-25 00:48:01 | mils | 1 | 13983 | 31 | 1.610 | 8685.1 |
| 1127 | 2025-06-23 22:38:38 | mils | 1 | 13983 | 31 | 1.250 | 11186.4 |
| 1126 | 2025-06-20 19:24:00 | mils | 1 | 13983 | 31 | 1.123 | 12451.5 |
| 1125 | 2025-06-19 21:36:24 | mils | 1 | 13983 | 31 | 1.360 | 10281.6 |
| 1124 | 2025-06-17 21:38:07 | mils | 2 | 29872 | 498 | 2.170 | 13765.9 |
| 1123 | 2025-06-17 06:43:22 | mils | 1 | 13983 | 31 | 0.216 | 64736.1 |
| 1122 | 2025-06-17 06:37:52 | mils | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1121 | 2025-06-15 07:28:59 | mils | 1 | 13983 | 31 | 0.686 | 20383.4 |
| 1120 | 2025-06-12 12:21:25 | mils | 1 | 13983 | 31 | 0.826 | 16928.6 |
| 1119 | 2025-06-11 00:09:48 | mils | 1 | 13983 | 31 | 0.733 | 19076.4 |
| 1118 | 2025-06-06 05:18:17 | mils | 1 | 13983 | 31 | 0.343 | 40766.8 |
| 1117 | 2025-06-02 17:18:15 | mils | 1 | 13983 | 31 | 1.360 | 10281.6 |
| 1116 | 2025-05-30 22:29:21 | mils | 1 | 13983 | 31 | 0.450 | 31073.3 |
| 1115 | 2025-05-30 07:41:23 | mils | 1 | 13983 | 31 | 0.733 | 19076.4 |
| 1114 | 2025-05-30 07:10:55 | mils | 1 | 13983 | 31 | 1.360 | 10281.6 |
| 1113 | 2025-05-30 00:32:45 | mils | 2 | 29872 | 498 | 0.856 | 34897.2 |
| 1112 | 2025-05-29 11:57:58 | mils | 1 | 13983 | 31 | 1.170 | 11951.3 |
| 1111 | 2025-05-29 05:13:32 | mils | 1 | 13983 | 31 | 0.813 | 17199.3 |
| 1110 | 2025-05-28 11:38:50 | mils | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1109 | 2025-05-28 11:32:39 | mils | 2 | 29872 | 498 | 0.873 | 34217.6 |
| 1108 | 2025-05-26 19:48:08 | mils | 1 | 13983 | 31 | 2.000 | 6991.5 |
| 1107 | 2025-05-26 06:17:52 | mils | 1 | 13983 | 31 | 1.373 | 10184.3 |
| 1106 | 2025-05-25 23:42:15 | mils | 1 | 13983 | 31 | 0.983 | 14224.8 |
| 1105 | 2025-05-23 11:48:41 | mils | 1 | 13983 | 31 | 0.250 | 55932.0 |
| 1104 | 2025-05-20 14:52:19 | mils | 2 | 29872 | 498 | 4.250 | 7028.7 |
| 1103 | 2025-05-17 06:00:49 | mils | 1 | 13983 | 31 | 1.313 | 10649.7 |
| 1102 | 2025-05-13 21:03:15 | mils | 2 | 29872 | 498 | 2.046 | 14600.2 |
| 1101 | 2025-05-12 14:55:06 | mils | 2 | 29872 | 498 | 5.626 | 5309.6 |
| 1100 | 2025-05-12 00:01:47 | mils | 1 | 13983 | 31 | 1.186 | 11790.1 |