History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"cowl"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1249 | 2026-02-06 13:33:12 | cowl | 1 | 13983 | 16 | 0.970 | 14415.5 |
| 1248 | 2026-02-06 07:00:38 | cowl | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1247 | 2026-02-06 01:43:01 | cowl | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 1246 | 2026-02-05 12:41:07 | cowl | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1245 | 2026-02-04 09:34:52 | cowl | 1 | 13983 | 16 | 0.533 | 26234.5 |
| 1244 | 2026-02-04 00:29:18 | cowl | 1 | 13983 | 16 | 0.310 | 45106.5 |
| 1243 | 2026-02-04 00:24:29 | cowl | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1242 | 2026-02-03 07:02:58 | cowl | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1241 | 2026-02-01 08:54:54 | cowl | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1240 | 2026-02-01 03:58:19 | cowl | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1239 | 2026-01-31 09:43:07 | cowl | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1238 | 2026-01-26 16:10:55 | cowl | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1237 | 2026-01-25 10:31:12 | cowl | 2 | 29872 | 233 | 0.983 | 30388.6 |
| 1236 | 2026-01-18 21:26:04 | cowl | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1235 | 2026-01-14 11:31:07 | cowl | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1234 | 2026-01-08 00:11:23 | cowl | 1 | 13983 | 16 | 0.280 | 49939.3 |
| 1233 | 2026-01-07 21:42:56 | cowl | 1 | 13983 | 16 | 0.813 | 17199.3 |
| 1232 | 2026-01-07 14:26:00 | cowl | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 1231 | 2026-01-07 14:22:34 | cowl | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 1230 | 2026-01-06 21:56:58 | cowl | 1 | 13983 | 16 | 0.296 | 47239.9 |
| 1229 | 2026-01-01 15:02:51 | cowl | 1 | 13983 | 16 | 0.530 | 26383.0 |
| 1228 | 2025-12-29 01:21:19 | cowl | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1227 | 2025-12-28 11:52:46 | cowl | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1226 | 2025-12-26 22:16:54 | cowl | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1225 | 2025-12-25 21:32:31 | cowl | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1224 | 2025-12-24 21:17:54 | cowl | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 1223 | 2025-12-21 18:35:15 | cowl | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1222 | 2025-12-21 07:01:06 | cowl | 1 | 13983 | 16 | 0.283 | 49409.9 |
| 1221 | 2025-12-19 06:13:58 | cowl | 2 | 29872 | 233 | 4.733 | 6311.4 |
| 1220 | 2025-12-18 09:31:46 | cowl | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1219 | 2025-12-18 02:56:57 | cowl | 1 | 13983 | 16 | 1.690 | 8274.0 |
| 1218 | 2025-12-18 02:54:49 | cowl | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1217 | 2025-12-10 12:12:37 | cowl | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1216 | 2025-12-04 11:09:32 | cowl | 1 | 13983 | 16 | 0.236 | 59250.0 |
| 1215 | 2025-11-28 03:37:10 | cowl | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1214 | 2025-11-27 00:16:38 | cowl | 2 | 29872 | 233 | 3.296 | 9063.1 |
| 1213 | 2025-11-26 23:26:00 | cowl | 2 | 29872 | 233 | 0.826 | 36164.6 |
| 1212 | 2025-11-24 04:00:44 | cowl | 1 | 13983 | 16 | 1.873 | 7465.6 |
| 1211 | 2025-11-24 03:53:50 | cowl | 1 | 13983 | 16 | 0.280 | 49939.3 |
| 1210 | 2025-11-22 15:09:12 | cowl | 2 | 29872 | 233 | 0.920 | 32469.6 |
| 1209 | 2025-11-21 20:05:06 | cowl | 1 | 13983 | 16 | 0.890 | 15711.2 |
| 1208 | 2025-11-18 08:10:29 | cowl | 2 | 29872 | 233 | 0.813 | 36742.9 |
| 1207 | 2025-11-17 22:48:58 | cowl | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1206 | 2025-11-17 16:11:24 | cowl | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 1205 | 2025-11-15 23:52:23 | cowl | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1204 | 2025-11-14 18:35:08 | cowl | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1203 | 2025-11-14 09:26:06 | cowl | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1202 | 2025-11-13 16:29:32 | cowl | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 1201 | 2025-11-13 03:24:13 | cowl | 1 | 13983 | 16 | 0.236 | 59250.0 |
| 1200 | 2025-11-12 22:16:13 | cowl | 2 | 29872 | 233 | 0.813 | 36742.9 |
| 1199 | 2025-11-11 02:18:54 | cowl | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 1198 | 2025-11-10 20:20:29 | cowl | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1197 | 2025-11-10 09:37:06 | cowl | 1 | 13983 | 16 | 0.280 | 49939.3 |
| 1196 | 2025-11-10 05:32:45 | cowl | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1195 | 2025-11-06 03:05:43 | cowl | 1 | 13983 | 16 | 0.513 | 27257.3 |
| 1194 | 2025-11-04 21:21:45 | cowl | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1193 | 2025-11-03 16:59:19 | cowl | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1192 | 2025-11-02 11:37:54 | cowl | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1191 | 2025-11-01 10:56:42 | cowl | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1190 | 2025-11-01 04:27:09 | cowl | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1189 | 2025-10-31 10:00:16 | cowl | 1 | 13983 | 16 | 0.483 | 28950.3 |
| 1188 | 2025-10-29 05:24:38 | cowl | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1187 | 2025-10-28 02:19:56 | cowl | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1186 | 2025-10-26 22:04:22 | cowl | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1185 | 2025-10-23 00:12:30 | cowl | 1 | 13983 | 16 | 1.406 | 9945.2 |
| 1184 | 2025-10-21 04:29:36 | cowl | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1183 | 2025-10-18 06:13:03 | cowl | 2 | 29872 | 233 | 0.783 | 38150.7 |
| 1182 | 2025-10-16 12:21:33 | cowl | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1181 | 2025-10-12 17:49:32 | cowl | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1180 | 2025-10-09 03:52:30 | cowl | 2 | 29872 | 233 | 0.920 | 32469.6 |
| 1179 | 2025-10-08 21:37:37 | cowl | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 1178 | 2025-10-08 02:21:43 | cowl | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1177 | 2025-10-06 15:59:49 | cowl | 2 | 29872 | 233 | 0.890 | 33564.0 |
| 1176 | 2025-10-02 12:09:54 | cowl | 2 | 29872 | 233 | 0.796 | 37527.6 |
| 1175 | 2025-09-26 11:38:58 | cowl | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1174 | 2025-09-25 01:53:24 | cowl | 1 | 13983 | 16 | 0.296 | 47239.9 |
| 1173 | 2025-09-25 01:52:45 | cowl | 1 | 13983 | 16 | 2.076 | 6735.5 |
| 1172 | 2025-09-25 01:51:44 | cowl | 1 | 13983 | 16 | 0.596 | 23461.4 |
| 1171 | 2025-09-25 01:50:39 | cowl | 1 | 13983 | 16 | 1.373 | 10184.3 |
| 1170 | 2025-09-24 20:34:30 | cowl | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1169 | 2025-09-23 04:43:40 | cowl | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1168 | 2025-09-22 17:18:00 | cowl | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1167 | 2025-09-21 21:17:33 | cowl | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1166 | 2025-09-19 20:09:13 | cowl | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1165 | 2025-09-19 08:30:37 | cowl | 2 | 29872 | 233 | 0.873 | 34217.6 |
| 1164 | 2025-09-15 18:49:35 | cowl | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1163 | 2025-09-15 10:38:18 | cowl | 1 | 13983 | 16 | 0.236 | 59250.0 |
| 1162 | 2025-09-14 03:29:22 | cowl | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1161 | 2025-09-12 20:04:31 | cowl | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1160 | 2025-09-11 12:00:27 | cowl | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1159 | 2025-09-08 14:40:36 | cowl | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 1158 | 2025-09-04 13:44:19 | cowl | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1157 | 2025-09-04 04:07:32 | cowl | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1156 | 2025-09-03 05:48:38 | cowl | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1155 | 2025-09-02 02:24:56 | cowl | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1154 | 2025-08-31 03:37:17 | cowl | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1153 | 2025-08-31 03:23:57 | cowl | 1 | 13983 | 16 | 0.300 | 46610.0 |
| 1152 | 2025-08-28 10:59:44 | cowl | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1151 | 2025-08-27 13:33:13 | cowl | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1150 | 2025-08-25 07:17:55 | cowl | 1 | 13983 | 16 | 0.393 | 35580.2 |