History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"cowed"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1209 | 2025-12-25 11:57:46 | cowed | 2 | 53800 | 290 | 1.876 | 28678.0 |
| 1208 | 2025-12-24 20:33:23 | cowed | 1 | 28756 | 31 | 0.500 | 57512.0 |
| 1207 | 2025-12-21 18:49:14 | cowed | 1 | 28756 | 31 | 0.576 | 49923.6 |
| 1206 | 2025-12-19 20:40:12 | cowed | 1 | 28756 | 31 | 2.376 | 12102.7 |
| 1205 | 2025-12-19 14:37:04 | cowed | 2 | 53800 | 290 | 1.640 | 32804.9 |
| 1204 | 2025-12-18 17:56:00 | cowed | 1 | 28756 | 31 | 0.893 | 32201.6 |
| 1203 | 2025-12-14 20:28:41 | cowed | 1 | 28756 | 31 | 0.610 | 47141.0 |
| 1202 | 2025-12-11 03:09:10 | cowed | 1 | 28756 | 31 | 0.483 | 59536.2 |
| 1201 | 2025-12-11 03:07:30 | cowed | 1 | 28756 | 31 | 0.533 | 53951.2 |
| 1200 | 2025-12-09 07:49:59 | cowed | 1 | 28756 | 31 | 0.563 | 51076.4 |
| 1199 | 2025-12-06 05:03:40 | cowed | 1 | 28756 | 31 | 0.530 | 54256.6 |
| 1198 | 2025-12-02 23:19:05 | cowed | 1 | 28756 | 31 | 2.326 | 12362.9 |
| 1197 | 2025-12-02 23:18:45 | cowed | 1 | 28756 | 31 | 1.390 | 20687.8 |
| 1196 | 2025-11-30 16:10:23 | cowed | 1 | 28756 | 31 | 0.516 | 55728.7 |
| 1195 | 2025-11-29 22:18:11 | cowed | 1 | 28756 | 31 | 0.486 | 59168.7 |
| 1194 | 2025-11-28 01:23:36 | cowed | 2 | 53800 | 290 | 1.483 | 36277.8 |
| 1193 | 2025-11-26 15:25:58 | cowed | 1 | 28756 | 31 | 0.610 | 47141.0 |
| 1192 | 2025-11-24 10:01:52 | cowed | 1 | 28756 | 31 | 0.470 | 61183.0 |
| 1191 | 2025-11-21 03:37:51 | cowed | 1 | 28756 | 31 | 0.533 | 53951.2 |
| 1190 | 2025-11-20 16:09:15 | cowed | 1 | 28756 | 31 | 0.513 | 56054.6 |
| 1189 | 2025-11-20 03:11:05 | cowed | 1 | 28756 | 31 | 0.453 | 63479.0 |
| 1188 | 2025-11-16 04:42:06 | cowed | 2 | 53800 | 290 | 1.593 | 33772.8 |
| 1187 | 2025-11-15 07:01:14 | cowed | 1 | 28756 | 31 | 0.580 | 49579.3 |
| 1186 | 2025-11-03 03:09:37 | cowed | 1 | 28756 | 31 | 0.516 | 55728.7 |
| 1185 | 2025-11-02 12:21:18 | cowed | 1 | 28756 | 31 | 0.500 | 57512.0 |
| 1184 | 2025-11-02 12:21:06 | cowed | 1 | 28756 | 31 | 0.516 | 55728.7 |
| 1183 | 2025-11-01 21:49:28 | cowed | 1 | 28756 | 31 | 0.516 | 55728.7 |
| 1182 | 2025-10-27 13:36:09 | cowed | 1 | 28756 | 31 | 0.546 | 52666.7 |
| 1181 | 2025-10-26 18:27:41 | cowed | 1 | 28756 | 31 | 0.530 | 54256.6 |
| 1180 | 2025-10-24 07:25:46 | cowed | 1 | 28756 | 31 | 0.500 | 57512.0 |
| 1179 | 2025-10-24 07:25:44 | cowed | 1 | 28756 | 31 | 0.500 | 57512.0 |
| 1178 | 2025-10-21 15:02:16 | cowed | 2 | 53800 | 290 | 4.640 | 11594.8 |
| 1177 | 2025-10-19 13:32:22 | cowed | 1 | 28756 | 31 | 0.720 | 39938.9 |
| 1176 | 2025-10-14 17:11:09 | cowed | 1 | 28756 | 31 | 0.466 | 61708.2 |
| 1175 | 2025-10-11 05:19:35 | cowed | 1 | 28756 | 31 | 0.546 | 52666.7 |
| 1174 | 2025-10-07 08:54:40 | cowed | 1 | 28756 | 31 | 1.063 | 27051.7 |
| 1173 | 2025-10-04 23:24:23 | cowed | 1 | 28756 | 31 | 0.483 | 59536.2 |
| 1172 | 2025-10-04 03:50:36 | cowed | 1 | 28756 | 31 | 0.486 | 59168.7 |
| 1171 | 2025-10-03 11:32:29 | cowed | 1 | 28756 | 31 | 1.170 | 24577.8 |
| 1170 | 2025-09-30 16:56:20 | cowed | 1 | 28756 | 31 | 0.513 | 56054.6 |
| 1169 | 2025-09-29 11:25:24 | cowed | 1 | 28756 | 31 | 0.516 | 55728.7 |
| 1168 | 2025-09-29 04:13:57 | cowed | 1 | 28756 | 31 | 0.500 | 57512.0 |
| 1167 | 2025-09-28 13:43:45 | cowed | 1 | 28756 | 31 | 0.546 | 52666.7 |
| 1166 | 2025-09-25 16:22:55 | cowed | 1 | 28756 | 31 | 1.486 | 19351.3 |
| 1165 | 2025-09-25 00:58:27 | cowed | 1 | 28756 | 31 | 1.670 | 17219.2 |
| 1164 | 2025-09-21 21:35:50 | cowed | 1 | 28756 | 31 | 0.500 | 57512.0 |
| 1163 | 2025-09-16 01:54:09 | cowed | 1 | 28756 | 31 | 0.500 | 57512.0 |
| 1162 | 2025-09-10 16:16:39 | cowed | 1 | 28756 | 31 | 0.533 | 53951.2 |
| 1161 | 2025-09-06 11:02:01 | cowed | 1 | 28756 | 31 | 0.513 | 56054.6 |
| 1160 | 2025-09-03 08:22:50 | cowed | 1 | 28756 | 31 | 0.500 | 57512.0 |
| 1159 | 2025-09-01 11:08:53 | cowed | 1 | 28756 | 31 | 0.516 | 55728.7 |
| 1158 | 2025-08-27 19:35:31 | cowed | 1 | 28756 | 31 | 0.593 | 48492.4 |
| 1157 | 2025-08-27 12:51:31 | cowed | 1 | 28756 | 31 | 1.080 | 26625.9 |
| 1156 | 2025-08-27 10:06:54 | cowed | 1 | 28756 | 31 | 0.516 | 55728.7 |
| 1155 | 2025-08-27 06:06:42 | cowed | 1 | 28756 | 31 | 1.186 | 24246.2 |
| 1154 | 2025-08-16 01:26:50 | cowed | 1 | 28756 | 31 | 0.546 | 52666.7 |
| 1153 | 2025-08-04 13:23:52 | cowed | 1 | 28756 | 31 | 2.156 | 13337.7 |
| 1152 | 2025-08-04 04:28:53 | cowed | 1 | 28756 | 31 | 0.546 | 52666.7 |
| 1151 | 2025-08-02 13:29:20 | cowed | 2 | 53800 | 290 | 3.563 | 15099.6 |
| 1150 | 2025-07-31 07:12:43 | cowed | 1 | 28756 | 31 | 0.580 | 49579.3 |
| 1149 | 2025-07-30 23:24:32 | cowed | 2 | 53800 | 290 | 8.670 | 6205.3 |
| 1148 | 2025-07-29 23:23:16 | cowed | 2 | 53800 | 290 | 4.360 | 12339.4 |
| 1147 | 2025-07-27 14:28:40 | cowed | 1 | 28756 | 31 | 1.470 | 19561.9 |
| 1146 | 2025-07-27 11:50:56 | cowed | 1 | 28756 | 31 | 1.016 | 28303.1 |
| 1145 | 2025-07-26 23:50:48 | cowed | 1 | 28756 | 31 | 2.140 | 13437.4 |
| 1144 | 2025-07-26 23:50:48 | cowed | 1 | 28756 | 31 | 1.360 | 21144.1 |
| 1143 | 2025-07-26 06:38:16 | cowed | 1 | 28756 | 31 | 3.610 | 7965.7 |
| 1142 | 2025-07-24 20:21:18 | cowed | 1 | 28756 | 31 | 1.123 | 25606.4 |
| 1141 | 2025-07-16 23:51:56 | cowed | 1 | 28756 | 31 | 1.140 | 25224.6 |
| 1140 | 2025-07-11 22:31:15 | cowed | 2 | 53800 | 290 | 3.296 | 16322.8 |
| 1139 | 2025-07-10 19:49:22 | cowed | 1 | 28756 | 31 | 1.406 | 20452.3 |
| 1138 | 2025-07-06 01:15:54 | cowed | 1 | 28756 | 31 | 0.546 | 52666.7 |
| 1137 | 2025-07-04 13:03:14 | cowed | 1 | 28756 | 31 | 3.453 | 8327.8 |
| 1136 | 2025-07-03 22:15:22 | cowed | 2 | 53800 | 290 | 13.456 | 3998.2 |
| 1135 | 2025-07-03 16:23:10 | cowed | 1 | 28756 | 31 | 2.750 | 10456.7 |
| 1134 | 2025-07-02 16:53:49 | cowed | 1 | 28756 | 31 | 3.890 | 7392.3 |
| 1133 | 2025-07-02 13:31:46 | cowed | 1 | 28756 | 31 | 2.780 | 10343.9 |
| 1132 | 2025-06-30 16:47:59 | cowed | 1 | 28756 | 31 | 1.173 | 24514.9 |
| 1131 | 2025-06-30 07:01:49 | cowed | 1 | 28756 | 31 | 1.766 | 16283.1 |
| 1130 | 2025-06-25 03:07:44 | cowed | 1 | 28756 | 31 | 3.406 | 8442.7 |
| 1129 | 2025-06-22 13:41:50 | cowed | 1 | 28756 | 31 | 2.640 | 10892.4 |
| 1128 | 2025-06-19 17:10:07 | cowed | 1 | 28756 | 31 | 0.500 | 57512.0 |
| 1127 | 2025-06-10 17:25:37 | cowed | 1 | 28756 | 31 | 2.546 | 11294.6 |
| 1126 | 2025-06-10 12:18:55 | cowed | 1 | 28756 | 31 | 2.830 | 10161.1 |
| 1125 | 2025-06-03 13:44:31 | cowed | 1 | 28756 | 31 | 0.483 | 59536.2 |
| 1124 | 2025-06-01 11:03:42 | cowed | 1 | 28756 | 31 | 0.563 | 51076.4 |
| 1123 | 2025-06-01 03:24:32 | cowed | 1 | 28756 | 31 | 2.563 | 11219.7 |
| 1122 | 2025-05-31 15:56:24 | cowed | 1 | 28756 | 31 | 1.503 | 19132.4 |
| 1121 | 2025-05-31 13:00:41 | cowed | 1 | 28756 | 31 | 1.000 | 28756.0 |
| 1120 | 2025-05-31 06:17:13 | cowed | 1 | 28756 | 31 | 3.966 | 7250.6 |
| 1119 | 2025-05-30 13:06:45 | cowed | 1 | 28756 | 31 | 1.656 | 17364.7 |
| 1118 | 2025-05-27 08:55:59 | cowed | 1 | 28756 | 31 | 1.233 | 23322.0 |
| 1117 | 2025-05-25 23:45:35 | cowed | 1 | 28756 | 31 | 3.263 | 8812.7 |
| 1116 | 2025-05-22 13:37:16 | cowed | 1 | 28756 | 31 | 0.983 | 29253.3 |
| 1115 | 2025-05-20 20:21:07 | cowed | 1 | 28756 | 31 | 0.546 | 52666.7 |
| 1114 | 2025-05-18 23:36:25 | cowed | 1 | 28756 | 31 | 0.516 | 55728.7 |
| 1113 | 2025-05-18 11:09:03 | cowed | 2 | 53800 | 290 | 7.940 | 6775.8 |
| 1112 | 2025-05-17 16:35:35 | cowed | 1 | 28756 | 31 | 0.533 | 53951.2 |
| 1111 | 2025-05-17 06:34:27 | cowed | 1 | 28756 | 31 | 0.500 | 57512.0 |
| 1110 | 2025-05-16 21:32:41 | cowed | 2 | 53800 | 290 | 1.846 | 29144.1 |