History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"cadet"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1279 | 2024-04-14 11:12:04 | cadet | 1 | 28756 | 6 | 0.500 | 57512.0 |
1278 | 2024-04-14 01:38:09 | cadet | 1 | 28756 | 6 | 0.596 | 48248.3 |
1277 | 2024-04-05 00:36:35 | cadet | 2 | 53800 | 142 | 1.796 | 29955.5 |
1276 | 2024-04-04 09:32:50 | cadet | 2 | 53800 | 142 | 1.423 | 37807.4 |
1275 | 2024-04-03 08:17:40 | cadet | 1 | 28756 | 6 | 0.483 | 59536.2 |
1274 | 2024-03-31 16:26:50 | cadet | 1 | 28756 | 6 | 0.563 | 51076.4 |
1273 | 2024-03-31 07:12:40 | cadet | 2 | 53800 | 142 | 5.923 | 9083.2 |
1272 | 2024-03-31 07:10:38 | cadet | 1 | 28756 | 6 | 1.173 | 24514.9 |
1271 | 2024-03-29 09:08:49 | cadet | 2 | 53800 | 142 | 2.220 | 24234.2 |
1270 | 2024-03-29 09:08:40 | cadet | 1 | 28756 | 6 | 0.530 | 54256.6 |
1269 | 2024-03-29 09:08:29 | cadet | 2 | 53800 | 142 | 1.673 | 32157.8 |
1268 | 2024-03-29 09:08:19 | cadet | 1 | 28756 | 6 | 0.796 | 36125.6 |
1267 | 2024-03-28 06:01:28 | cadet | 1 | 28756 | 6 | 0.533 | 53951.2 |
1266 | 2024-02-28 07:30:23 | cadet | 1 | 28756 | 6 | 0.670 | 42919.4 |
1265 | 2024-01-29 21:08:02 | cadet | 1 | 28756 | 6 | 0.500 | 57512.0 |
1264 | 2024-01-29 05:26:57 | cadet | 1 | 28756 | 6 | 0.530 | 54256.6 |
1263 | 2024-01-09 14:52:07 | cadet | 2 | 53800 | 142 | 1.576 | 34137.1 |
1262 | 2023-12-30 19:50:59 | cadet | 1 | 28756 | 6 | 0.486 | 59168.7 |
1261 | 2023-12-19 07:10:36 | cadet | 2 | 53800 | 142 | 1.563 | 34421.0 |
1260 | 2023-12-18 11:33:59 | cadet | 1 | 28756 | 6 | 0.516 | 55728.7 |
1259 | 2023-12-12 05:15:51 | cadet | 2 | 53800 | 142 | 2.440 | 22049.2 |
1258 | 2023-12-09 04:25:13 | cadet | 1 | 28756 | 6 | 0.436 | 65954.1 |
1257 | 2023-12-08 13:16:27 | cadet | 1 | 28756 | 6 | 0.543 | 52957.6 |
1256 | 2023-12-08 13:16:26 | cadet | 1 | 28756 | 6 | 0.546 | 52666.7 |
1255 | 2023-12-08 00:44:42 | cadet | 2 | 53800 | 142 | 1.593 | 33772.8 |
1254 | 2023-12-03 13:45:46 | cadet | 2 | 53800 | 142 | 1.656 | 32487.9 |
1253 | 2023-11-26 19:31:48 | cadet | 2 | 53800 | 142 | 1.580 | 34050.6 |
1252 | 2023-11-13 03:25:08 | cadet | 1 | 28756 | 6 | 0.500 | 57512.0 |
1251 | 2023-11-12 09:57:38 | cadet | 1 | 28756 | 6 | 0.483 | 59536.2 |
1250 | 2023-11-10 23:30:24 | cadet | 1 | 28756 | 6 | 0.533 | 53951.2 |
1249 | 2023-10-31 23:26:18 | cadet | 1 | 28756 | 6 | 0.500 | 57512.0 |
1248 | 2023-10-21 23:09:13 | cadet | 1 | 28756 | 6 | 0.516 | 55728.7 |
1247 | 2023-10-18 17:20:00 | cadet | 1 | 28756 | 6 | 0.530 | 54256.6 |
1246 | 2023-10-14 23:19:40 | cadet | 1 | 28756 | 6 | 0.453 | 63479.0 |
1245 | 2023-10-07 18:24:46 | cadet | 2 | 53800 | 142 | 1.423 | 37807.4 |
1244 | 2023-10-05 05:49:59 | cadet | 1 | 28756 | 6 | 0.500 | 57512.0 |
1243 | 2023-10-04 05:00:19 | cadet | 1 | 28756 | 6 | 0.530 | 54256.6 |
1242 | 2023-09-25 21:12:40 | cadet | 1 | 28756 | 6 | 0.500 | 57512.0 |
1241 | 2023-09-11 05:26:36 | cadet | 1 | 28756 | 6 | 0.483 | 59536.2 |
1240 | 2023-09-05 07:37:45 | cadet | 2 | 53800 | 142 | 1.390 | 38705.0 |
1239 | 2023-09-02 22:40:28 | cadet | 1 | 28756 | 6 | 0.453 | 63479.0 |
1238 | 2023-09-02 12:40:06 | cadet | 2 | 53800 | 142 | 1.420 | 37887.3 |
1237 | 2023-08-30 06:59:09 | cadet | 2 | 53800 | 142 | 1.596 | 33709.3 |
1236 | 2023-08-30 06:35:06 | cadet | 1 | 28756 | 6 | 0.470 | 61183.0 |
1235 | 2023-08-28 11:55:53 | cadet | 2 | 53800 | 142 | 1.610 | 33416.1 |
1234 | 2023-08-27 09:24:42 | cadet | 2 | 53800 | 142 | 1.610 | 33416.1 |
1233 | 2023-08-26 12:27:31 | cadet | 2 | 53800 | 142 | 1.576 | 34137.1 |
1232 | 2023-08-25 11:56:54 | cadet | 2 | 53800 | 142 | 1.500 | 35866.7 |
1231 | 2023-08-24 09:55:51 | cadet | 2 | 53800 | 142 | 1.686 | 31909.8 |
1230 | 2023-08-22 07:55:38 | cadet | 2 | 53800 | 142 | 1.563 | 34421.0 |
1229 | 2023-08-21 11:46:15 | cadet | 2 | 53800 | 142 | 1.656 | 32487.9 |
1228 | 2023-08-20 10:49:18 | cadet | 2 | 53800 | 142 | 1.516 | 35488.1 |
1227 | 2023-08-19 03:03:48 | cadet | 2 | 53800 | 142 | 1.406 | 38264.6 |
1226 | 2023-08-16 21:47:42 | cadet | 2 | 53800 | 142 | 1.640 | 32804.9 |
1225 | 2023-08-16 20:42:52 | cadet | 2 | 53800 | 142 | 1.436 | 37465.2 |
1224 | 2023-08-15 17:15:29 | cadet | 2 | 53800 | 142 | 1.436 | 37465.2 |
1223 | 2023-08-05 10:10:22 | cadet | 2 | 53800 | 142 | 1.716 | 31352.0 |
1222 | 2023-08-03 10:35:31 | cadet | 2 | 53800 | 142 | 1.593 | 33772.8 |
1221 | 2023-08-02 03:43:18 | cadet | 2 | 53800 | 142 | 1.420 | 37887.3 |
1220 | 2023-08-01 06:42:40 | cadet | 1 | 28756 | 6 | 0.436 | 65954.1 |
1219 | 2023-07-31 06:30:23 | cadet | 2 | 53800 | 142 | 1.606 | 33499.4 |
1218 | 2023-07-29 04:39:37 | cadet | 2 | 53800 | 142 | 3.016 | 17838.2 |
1217 | 2023-07-27 04:33:13 | cadet | 2 | 53800 | 142 | 1.643 | 32745.0 |
1216 | 2023-07-26 05:41:09 | cadet | 2 | 53800 | 142 | 1.610 | 33416.1 |
1215 | 2023-07-25 04:39:43 | cadet | 2 | 53800 | 142 | 1.466 | 36698.5 |
1214 | 2023-07-23 21:34:43 | cadet | 2 | 53800 | 142 | 1.436 | 37465.2 |
1213 | 2023-07-22 18:27:31 | cadet | 2 | 53800 | 142 | 1.453 | 37026.8 |
1212 | 2023-07-21 06:20:14 | cadet | 2 | 53800 | 142 | 1.436 | 37465.2 |
1211 | 2023-07-19 19:36:53 | cadet | 2 | 53800 | 142 | 1.593 | 33772.8 |
1210 | 2023-07-18 12:10:03 | cadet | 2 | 53800 | 142 | 1.436 | 37465.2 |
1209 | 2023-07-17 19:25:28 | cadet | 2 | 53800 | 142 | 1.563 | 34421.0 |
1208 | 2023-07-16 20:30:08 | cadet | 2 | 53800 | 142 | 2.893 | 18596.6 |
1207 | 2023-07-15 15:14:53 | cadet | 2 | 53800 | 142 | 1.593 | 33772.8 |
1206 | 2023-07-14 15:42:40 | cadet | 2 | 53800 | 142 | 1.436 | 37465.2 |
1205 | 2023-07-13 13:42:42 | cadet | 2 | 53800 | 142 | 1.626 | 33087.3 |
1204 | 2023-07-13 10:32:33 | cadet | 2 | 53800 | 142 | 1.626 | 33087.3 |
1203 | 2023-07-12 21:03:11 | cadet | 2 | 53800 | 142 | 2.800 | 19214.3 |
1202 | 2023-07-11 17:47:48 | cadet | 2 | 53800 | 142 | 1.546 | 34799.5 |
1201 | 2023-07-10 17:27:30 | cadet | 2 | 53800 | 142 | 1.580 | 34050.6 |
1200 | 2023-06-23 09:33:50 | cadet | 2 | 53800 | 142 | 1.626 | 33087.3 |
1199 | 2023-06-15 21:56:10 | cadet | 2 | 53800 | 142 | 1.623 | 33148.5 |
1198 | 2023-06-13 20:58:55 | cadet | 2 | 53800 | 142 | 1.470 | 36598.6 |
1197 | 2023-06-06 05:05:21 | cadet | 2 | 53800 | 142 | 1.546 | 34799.5 |
1196 | 2023-06-05 11:58:47 | cadet | 2 | 53800 | 142 | 1.593 | 33772.8 |
1195 | 2023-06-04 08:49:27 | cadet | 2 | 53800 | 142 | 1.580 | 34050.6 |
1194 | 2023-06-03 00:05:14 | cadet | 2 | 53800 | 142 | 1.390 | 38705.0 |
1193 | 2023-06-01 09:20:06 | cadet | 2 | 53800 | 142 | 1.596 | 33709.3 |
1192 | 2023-05-31 13:10:06 | cadet | 2 | 53800 | 142 | 1.373 | 39184.3 |
1191 | 2023-05-30 11:36:19 | cadet | 2 | 53800 | 142 | 1.596 | 33709.3 |
1190 | 2023-05-30 00:51:38 | cadet | 1 | 28756 | 6 | 0.453 | 63479.0 |
1189 | 2023-05-29 12:11:03 | cadet | 2 | 53800 | 142 | 1.406 | 38264.6 |
1188 | 2023-05-28 11:54:36 | cadet | 2 | 53800 | 142 | 1.483 | 36277.8 |
1187 | 2023-05-27 11:50:39 | cadet | 2 | 53800 | 142 | 1.563 | 34421.0 |
1186 | 2023-05-26 11:32:57 | cadet | 2 | 53800 | 142 | 1.393 | 38621.7 |
1185 | 2023-05-25 12:00:13 | cadet | 2 | 53800 | 142 | 1.406 | 38264.6 |
1184 | 2023-05-24 11:42:34 | cadet | 2 | 53800 | 142 | 1.390 | 38705.0 |
1183 | 2023-05-22 05:02:24 | cadet | 2 | 53800 | 142 | 1.533 | 35094.6 |
1182 | 2023-05-20 15:10:15 | cadet | 2 | 53800 | 142 | 1.846 | 29144.1 |
1181 | 2023-05-19 15:22:24 | cadet | 2 | 53800 | 142 | 1.390 | 38705.0 |
1180 | 2023-05-18 15:28:15 | cadet | 2 | 53800 | 142 | 1.390 | 38705.0 |