History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"yean"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1245 | 2026-02-05 15:39:41 | yean | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1244 | 2026-02-03 09:50:12 | yean | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1243 | 2026-02-02 22:52:59 | yean | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1242 | 2026-02-01 15:59:33 | yean | 2 | 29872 | 236 | 0.766 | 38997.4 |
| 1241 | 2026-01-31 19:05:23 | yean | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 1240 | 2026-01-31 14:03:25 | yean | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1239 | 2026-01-31 12:49:21 | yean | 1 | 13983 | 16 | 0.826 | 16928.6 |
| 1238 | 2026-01-30 19:08:25 | yean | 1 | 13983 | 16 | 0.236 | 59250.0 |
| 1237 | 2026-01-29 18:07:48 | yean | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1236 | 2026-01-29 18:06:42 | yean | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 1235 | 2026-01-29 18:06:31 | yean | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1234 | 2026-01-28 11:35:21 | yean | 1 | 13983 | 16 | 0.890 | 15711.2 |
| 1233 | 2026-01-28 11:35:09 | yean | 1 | 13983 | 16 | 0.546 | 25609.9 |
| 1232 | 2026-01-28 00:10:34 | yean | 1 | 13983 | 16 | 0.343 | 40766.8 |
| 1231 | 2026-01-27 20:29:01 | yean | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1230 | 2026-01-26 20:30:58 | yean | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1229 | 2026-01-26 10:36:56 | yean | 1 | 13983 | 16 | 0.466 | 30006.4 |
| 1228 | 2026-01-23 08:08:26 | yean | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1227 | 2026-01-20 17:39:41 | yean | 2 | 29872 | 236 | 2.906 | 10279.4 |
| 1226 | 2026-01-20 17:39:35 | yean | 2 | 29872 | 236 | 3.360 | 8890.5 |
| 1225 | 2026-01-18 21:31:06 | yean | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1224 | 2026-01-12 01:10:45 | yean | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1223 | 2026-01-12 01:09:43 | yean | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1222 | 2026-01-06 21:38:35 | yean | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1221 | 2026-01-03 05:50:03 | yean | 1 | 13983 | 16 | 0.533 | 26234.5 |
| 1220 | 2025-12-31 22:27:24 | yean | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 1219 | 2025-12-30 15:08:33 | yean | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1218 | 2025-12-24 20:58:09 | yean | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 1217 | 2025-12-20 00:09:07 | yean | 1 | 13983 | 16 | 0.516 | 27098.8 |
| 1216 | 2025-12-17 06:32:05 | yean | 1 | 13983 | 16 | 0.280 | 49939.3 |
| 1215 | 2025-12-15 13:47:29 | yean | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1214 | 2025-12-14 01:33:36 | yean | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1213 | 2025-12-14 01:32:21 | yean | 1 | 13983 | 16 | 0.750 | 18644.0 |
| 1212 | 2025-12-13 16:51:50 | yean | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1211 | 2025-12-12 16:41:27 | yean | 1 | 13983 | 16 | 1.780 | 7855.6 |
| 1210 | 2025-12-10 14:54:07 | yean | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1209 | 2025-12-08 11:36:43 | yean | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1208 | 2025-12-07 10:22:09 | yean | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1207 | 2025-12-05 16:26:35 | yean | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1206 | 2025-12-03 20:35:24 | yean | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1205 | 2025-12-03 14:16:04 | yean | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1204 | 2025-12-03 14:01:12 | yean | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 1203 | 2025-12-01 15:56:56 | yean | 1 | 13983 | 16 | 0.500 | 27966.0 |
| 1202 | 2025-11-30 09:23:25 | yean | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1201 | 2025-11-29 10:52:08 | yean | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1200 | 2025-11-28 12:00:02 | yean | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1199 | 2025-11-27 11:06:38 | yean | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1198 | 2025-11-24 12:17:47 | yean | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1197 | 2025-11-22 07:30:36 | yean | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1196 | 2025-11-20 14:04:06 | yean | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1195 | 2025-11-19 23:39:25 | yean | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1194 | 2025-11-16 17:46:53 | yean | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1193 | 2025-11-16 13:48:45 | yean | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1192 | 2025-11-15 01:25:33 | yean | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1191 | 2025-11-15 00:14:31 | yean | 1 | 13983 | 16 | 0.466 | 30006.4 |
| 1190 | 2025-11-14 18:45:44 | yean | 1 | 13983 | 16 | 0.236 | 59250.0 |
| 1189 | 2025-11-14 18:43:37 | yean | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1188 | 2025-11-01 21:16:42 | yean | 1 | 13983 | 16 | 0.266 | 52567.7 |
| 1187 | 2025-10-26 01:49:12 | yean | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1186 | 2025-10-24 02:56:59 | yean | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1185 | 2025-10-19 13:59:09 | yean | 2 | 29872 | 236 | 0.876 | 34100.5 |
| 1184 | 2025-10-19 12:54:00 | yean | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1183 | 2025-10-18 04:59:41 | yean | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 1182 | 2025-10-14 18:24:29 | yean | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1181 | 2025-10-14 03:15:09 | yean | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1180 | 2025-10-13 02:36:00 | yean | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 1179 | 2025-10-10 12:14:00 | yean | 1 | 13983 | 16 | 0.513 | 27257.3 |
| 1178 | 2025-10-09 08:17:45 | yean | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1177 | 2025-10-04 18:06:24 | yean | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1176 | 2025-10-04 06:00:32 | yean | 2 | 29872 | 236 | 0.766 | 38997.4 |
| 1175 | 2025-10-01 03:24:51 | yean | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1174 | 2025-09-28 12:46:19 | yean | 2 | 29872 | 236 | 0.750 | 39829.3 |
| 1173 | 2025-09-24 17:12:57 | yean | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1172 | 2025-09-17 11:19:36 | yean | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1171 | 2025-09-15 15:24:58 | yean | 1 | 13983 | 16 | 0.530 | 26383.0 |
| 1170 | 2025-09-13 20:35:25 | yean | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1169 | 2025-09-12 16:56:54 | yean | 1 | 13983 | 16 | 0.233 | 60012.9 |
| 1168 | 2025-09-12 06:04:36 | yean | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1167 | 2025-09-11 09:07:40 | yean | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1166 | 2025-09-08 11:25:55 | yean | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1165 | 2025-09-08 11:24:31 | yean | 2 | 29872 | 236 | 0.843 | 35435.3 |
| 1164 | 2025-09-06 22:30:57 | yean | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 1163 | 2025-09-06 02:59:57 | yean | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1162 | 2025-09-06 00:14:38 | yean | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1161 | 2025-09-03 22:54:03 | yean | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 1160 | 2025-09-03 17:21:00 | yean | 1 | 13983 | 16 | 0.220 | 63559.1 |
| 1159 | 2025-09-01 21:55:55 | yean | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1158 | 2025-09-01 07:01:55 | yean | 1 | 13983 | 16 | 0.216 | 64736.1 |
| 1157 | 2025-08-30 22:01:26 | yean | 1 | 13983 | 16 | 0.236 | 59250.0 |
| 1156 | 2025-08-28 20:03:11 | yean | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1155 | 2025-08-27 18:51:29 | yean | 1 | 13983 | 16 | 0.250 | 55932.0 |
| 1154 | 2025-08-10 02:04:24 | yean | 1 | 13983 | 16 | 0.263 | 53167.3 |
| 1153 | 2025-08-05 01:53:23 | yean | 2 | 29872 | 236 | 2.156 | 13855.3 |
| 1152 | 2025-08-04 07:35:15 | yean | 1 | 13983 | 16 | 1.313 | 10649.7 |
| 1151 | 2025-08-02 04:42:50 | yean | 1 | 13983 | 16 | 0.690 | 20265.2 |
| 1150 | 2025-07-31 20:51:06 | yean | 2 | 29872 | 236 | 4.313 | 6926.0 |
| 1149 | 2025-07-31 10:44:22 | yean | 1 | 13983 | 16 | 0.516 | 27098.8 |
| 1148 | 2025-07-29 02:01:42 | yean | 2 | 29872 | 236 | 2.126 | 14050.8 |
| 1147 | 2025-07-27 10:17:24 | yean | 1 | 13983 | 16 | 0.576 | 24276.0 |
| 1146 | 2025-07-27 01:45:07 | yean | 1 | 13983 | 16 | 0.643 | 21746.5 |